From 8558bd96d5b2329607543ecdf0e36d64df9bf298 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 11:13:16 -0700 Subject: [PATCH 01/85] Add runtime types to TypeSpec, remove PromptyTool agentic mode, update spec MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Phase 1-3 of the spec & type system overhaul: TypeSpec additions (schema/model/): - message.tsp: Message, Role, ContentPart hierarchy, ToolCall, ToolResult - events.tsp: AgentEventType, StreamChunk hierarchy - guardrails.tsp: GuardrailResult, GuardrailPhase - discovery.tsp: ModelInfo for provider model listing TypeSpec changes: - tools/prompty.tsp: Remove mode field and promptyToolMode alias (PromptyTool is always single-shot) Emitter changes: - Add additional-roots config option for standalone types not reachable from the root Prompty model - Update filterNodes to include additional model trees spec.md changes: - §6.5: Reference TypeSpec for Message/ContentPart types, add ToolResult docs - §9.2: Tool handlers return ToolResult (not string) - §9.4: FormatToolMessages handles ContentPart[] in tool results - §9.5: Rich content examples for OpenAI and Anthropic wire formats - §9.7: PromptyTool is single-shot only, MUST NOT run agent loop - §13.1: Reference TypeSpec AgentEventType, tool_result carries ToolResult - §13.5: Add steering principle and normative requirements - §15: New section for model discovery convention (SHOULD, not MUST) Generated code regenerated for all runtimes (TS, Python, C#, Rust, Go). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../Model/AudioPartConversionTests.cs | 123 +++ .../Model/ContentPartConversionTests.cs | 11 + .../Model/ErrorChunkConversionTests.cs | 113 +++ .../Model/FilePartConversionTests.cs | 123 +++ .../Model/GuardrailResultConversionTests.cs | 123 +++ .../Model/ImagePartConversionTests.cs | 133 +++ .../Model/MessageConversionTests.cs | 155 ++++ .../Model/ModelInfoConversionTests.cs | 194 +++++ .../Model/PromptyToolConversionTests.cs | 16 +- .../Model/StreamChunkConversionTests.cs | 11 + .../Model/TextChunkConversionTests.cs | 113 +++ .../Model/TextPartConversionTests.cs | 113 +++ .../Model/ThinkingChunkConversionTests.cs | 113 +++ .../Model/ToolCallConversionTests.cs | 133 +++ .../Model/ToolChunkConversionTests.cs | 130 +++ .../Model/ToolResultConversionTests.cs | 130 +++ .../csharp/Prompty.Core/Model/AudioPart.cs | 184 +++++ .../csharp/Prompty.Core/Model/ContentPart.cs | 182 ++++ .../csharp/Prompty.Core/Model/ErrorChunk.cs | 169 ++++ runtime/csharp/Prompty.Core/Model/FilePart.cs | 184 +++++ .../Prompty.Core/Model/GuardrailResult.cs | 190 +++++ .../csharp/Prompty.Core/Model/ImagePart.cs | 199 +++++ runtime/csharp/Prompty.Core/Model/Message.cs | 256 ++++++ .../csharp/Prompty.Core/Model/ModelInfo.cs | 253 ++++++ .../csharp/Prompty.Core/Model/PromptyTool.cs | 22 +- .../csharp/Prompty.Core/Model/StreamChunk.cs | 182 ++++ .../csharp/Prompty.Core/Model/TextChunk.cs | 169 ++++ runtime/csharp/Prompty.Core/Model/TextPart.cs | 169 ++++ .../Prompty.Core/Model/ThinkingChunk.cs | 169 ++++ runtime/csharp/Prompty.Core/Model/ToolCall.cs | 189 +++++ .../csharp/Prompty.Core/Model/ToolChunk.cs | 169 ++++ .../csharp/Prompty.Core/Model/ToolResult.cs | 229 ++++++ runtime/go/prompty/model/audio_part_test.go | 154 ++++ runtime/go/prompty/model/content_part.go | 430 ++++++++++ runtime/go/prompty/model/content_part_test.go | 12 + runtime/go/prompty/model/error_chunk_test.go | 140 ++++ runtime/go/prompty/model/file_part_test.go | 154 ++++ runtime/go/prompty/model/guardrail_result.go | 96 +++ .../go/prompty/model/guardrail_result_test.go | 154 ++++ runtime/go/prompty/model/image_part_test.go | 168 ++++ runtime/go/prompty/model/message.go | 117 +++ runtime/go/prompty/model/message_test.go | 181 ++++ runtime/go/prompty/model/model_info.go | 147 ++++ runtime/go/prompty/model/model_info_test.go | 229 ++++++ runtime/go/prompty/model/prompty_tool_test.go | 22 +- runtime/go/prompty/model/stream_chunk.go | 402 +++++++++ runtime/go/prompty/model/stream_chunk_test.go | 12 + runtime/go/prompty/model/text_chunk_test.go | 140 ++++ runtime/go/prompty/model/text_part_test.go | 140 ++++ .../go/prompty/model/thinking_chunk_test.go | 140 ++++ runtime/go/prompty/model/tool.go | 12 +- runtime/go/prompty/model/tool_call.go | 90 ++ runtime/go/prompty/model/tool_call_test.go | 168 ++++ runtime/go/prompty/model/tool_chunk_test.go | 153 ++++ runtime/go/prompty/model/tool_result.go | 106 +++ runtime/go/prompty/model/tool_result_test.go | 156 ++++ .../python/prompty/prompty/model/_Binding.py | 23 +- .../prompty/prompty/model/_Connection.py | 144 ++-- .../prompty/prompty/model/_ContentPart.py | 542 ++++++++++++ .../prompty/prompty/model/_FormatConfig.py | 27 +- .../prompty/prompty/model/_GuardrailResult.py | 118 +++ .../prompty/prompty/model/_McpApprovalMode.py | 23 +- .../python/prompty/prompty/model/_Message.py | 161 ++++ .../python/prompty/prompty/model/_Model.py | 33 +- .../prompty/prompty/model/_ModelInfo.py | 149 ++++ .../prompty/prompty/model/_ModelOptions.py | 39 +- .../prompty/prompty/model/_ParserConfig.py | 25 +- .../python/prompty/prompty/model/_Prompty.py | 51 +- .../python/prompty/prompty/model/_Property.py | 93 ++- .../prompty/prompty/model/_StreamChunk.py | 515 ++++++++++++ .../python/prompty/prompty/model/_Template.py | 25 +- runtime/python/prompty/prompty/model/_Tool.py | 153 ++-- .../python/prompty/prompty/model/_ToolCall.py | 117 +++ .../prompty/prompty/model/_ToolResult.py | 150 ++++ .../python/prompty/prompty/model/__init__.py | 112 ++- .../python/prompty/prompty/model/_context.py | 13 +- .../tests/model/test_anonymous_connection.py | 29 +- .../tests/model/test_api_key_connection.py | 29 +- .../tests/model/test_array_property.py | 29 +- .../prompty/tests/model/test_audio_part.py | 80 ++ .../prompty/tests/model/test_binding.py | 29 +- .../prompty/tests/model/test_connection.py | 29 +- .../prompty/tests/model/test_content_part.py | 5 + .../prompty/tests/model/test_context.py | 10 +- .../prompty/tests/model/test_custom_tool.py | 29 +- .../prompty/tests/model/test_error_chunk.py | 72 ++ .../prompty/tests/model/test_file_part.py | 80 ++ .../prompty/tests/model/test_format_config.py | 31 +- .../tests/model/test_foundry_connection.py | 29 +- .../prompty/tests/model/test_function_tool.py | 59 +- .../tests/model/test_guardrail_result.py | 81 ++ .../prompty/tests/model/test_image_part.py | 88 ++ .../tests/model/test_mcp_approval_mode.py | 29 +- .../prompty/tests/model/test_mcp_tool.py | 29 +- .../prompty/tests/model/test_message.py | 113 +++ .../python/prompty/tests/model/test_model.py | 29 +- .../prompty/tests/model/test_model_info.py | 143 ++++ .../prompty/tests/model/test_model_options.py | 31 +- .../tests/model/test_o_auth_connection.py | 29 +- .../tests/model/test_object_property.py | 29 +- .../prompty/tests/model/test_open_api_tool.py | 29 +- .../prompty/tests/model/test_parser_config.py | 29 +- .../prompty/tests/model/test_prompty.py | 331 +++----- .../prompty/tests/model/test_prompty_tool.py | 45 +- .../prompty/tests/model/test_property.py | 37 +- .../tests/model/test_reference_connection.py | 29 +- .../tests/model/test_remote_connection.py | 29 +- .../prompty/tests/model/test_stream_chunk.py | 5 + .../prompty/tests/model/test_template.py | 29 +- .../prompty/tests/model/test_text_chunk.py | 72 ++ .../prompty/tests/model/test_text_part.py | 72 ++ .../tests/model/test_thinking_chunk.py | 72 ++ .../python/prompty/tests/model/test_tool.py | 29 +- .../prompty/tests/model/test_tool_call.py | 88 ++ .../prompty/tests/model/test_tool_chunk.py | 88 ++ .../prompty/tests/model/test_tool_result.py | 91 ++ runtime/rust/prompty/src/model/binding.rs | 28 +- runtime/rust/prompty/src/model/connection.rs | 252 ++---- .../rust/prompty/src/model/content_part.rs | 180 ++++ runtime/rust/prompty/src/model/context.rs | 17 +- .../rust/prompty/src/model/format_config.rs | 22 +- .../prompty/src/model/guardrail_result.rs | 76 ++ .../prompty/src/model/mcp_approval_mode.rs | 45 +- runtime/rust/prompty/src/model/message.rs | 118 +++ runtime/rust/prompty/src/model/mod.rs | 24 +- runtime/rust/prompty/src/model/model.rs | 42 +- runtime/rust/prompty/src/model/model_info.rs | 107 +++ .../rust/prompty/src/model/model_options.rs | 98 +-- .../rust/prompty/src/model/parser_config.rs | 22 +- runtime/rust/prompty/src/model/prompty.rs | 111 +-- runtime/rust/prompty/src/model/property.rs | 84 +- .../rust/prompty/src/model/stream_chunk.rs | 161 ++++ runtime/rust/prompty/src/model/template.rs | 18 +- runtime/rust/prompty/src/model/tool.rs | 228 ++---- runtime/rust/prompty/src/model/tool_call.rs | 78 ++ runtime/rust/prompty/src/model/tool_result.rs | 101 +++ .../rust/prompty/tests/model/binding_test.rs | 24 +- .../prompty/tests/model/connection_test.rs | 19 +- .../prompty/tests/model/content_part_test.rs | 8 + .../prompty/tests/model/format_config_test.rs | 20 +- .../tests/model/guardrail_result_test.rs | 58 ++ runtime/rust/prompty/tests/model/main.rs | 19 +- .../tests/model/mcp_approval_mode_test.rs | 24 +- .../rust/prompty/tests/model/message_test.rs | 75 ++ .../prompty/tests/model/model_info_test.rs | 97 +++ .../prompty/tests/model/model_options_test.rs | 73 +- .../rust/prompty/tests/model/model_test.rs | 24 +- .../prompty/tests/model/parser_config_test.rs | 20 +- .../rust/prompty/tests/model/prompty_test.rs | 476 +++-------- .../rust/prompty/tests/model/property_test.rs | 23 +- .../prompty/tests/model/stream_chunk_test.rs | 8 + .../rust/prompty/tests/model/template_test.rs | 23 +- .../prompty/tests/model/tool_call_test.rs | 62 ++ .../prompty/tests/model/tool_result_test.rs | 64 ++ runtime/rust/prompty/tests/model/tool_test.rs | 19 +- runtime/typescript/package-lock.json | 28 +- .../packages/core/src/model/content-part.ts | 774 ++++++++++++++++++ .../core/src/model/guardrail-result.ts | 167 ++++ .../packages/core/src/model/index.ts | 26 + .../packages/core/src/model/message.ts | 226 +++++ .../packages/core/src/model/model-info.ts | 252 ++++++ .../packages/core/src/model/stream-chunk.ts | 716 ++++++++++++++++ .../packages/core/src/model/tool-call.ts | 157 ++++ .../packages/core/src/model/tool-result.ts | 200 +++++ .../packages/core/src/model/tool.ts | 22 +- .../core/tests/model/audio-part.test.ts | 79 ++ .../core/tests/model/content-part.test.ts | 18 + .../core/tests/model/error-chunk.test.ts | 71 ++ .../core/tests/model/file-part.test.ts | 79 ++ .../core/tests/model/guardrail-result.test.ts | 79 ++ .../core/tests/model/image-part.test.ts | 87 ++ .../packages/core/tests/model/message.test.ts | 71 ++ .../core/tests/model/model-info.test.ts | 95 +++ .../core/tests/model/prompty-tool.test.ts | 16 +- .../core/tests/model/stream-chunk.test.ts | 18 + .../core/tests/model/text-chunk.test.ts | 71 ++ .../core/tests/model/text-part.test.ts | 71 ++ .../core/tests/model/thinking-chunk.test.ts | 71 ++ .../core/tests/model/tool-call.test.ts | 87 ++ .../core/tests/model/tool-chunk.test.ts | 63 ++ .../core/tests/model/tool-result.test.ts | 63 ++ schema/emitter/src/emitter.ts | 63 +- schema/emitter/src/lib.ts | 7 + schema/model/discovery.tsp | 41 + schema/model/events.tsp | 93 +++ schema/model/guardrails.tsp | 26 + schema/model/main.tsp | 4 + schema/model/message.tsp | 137 ++++ schema/model/tools/prompty.tsp | 13 +- schema/tspconfig.yaml | 7 + spec/spec.md | 171 +++- vscode/prompty/schemas/AudioPart.yaml | 20 + vscode/prompty/schemas/ContentPart.yaml | 20 + vscode/prompty/schemas/ErrorChunk.yaml | 17 + vscode/prompty/schemas/FilePart.yaml | 20 + vscode/prompty/schemas/GuardrailResult.yaml | 18 + vscode/prompty/schemas/ImagePart.yaml | 23 + vscode/prompty/schemas/Message.yaml | 31 + vscode/prompty/schemas/ModelInfo.yaml | 40 + vscode/prompty/schemas/PromptyTool.yaml | 16 +- vscode/prompty/schemas/StreamChunk.yaml | 20 + vscode/prompty/schemas/TextChunk.yaml | 17 + vscode/prompty/schemas/TextPart.yaml | 17 + vscode/prompty/schemas/ThinkingChunk.yaml | 17 + vscode/prompty/schemas/ToolCall.yaml | 20 + vscode/prompty/schemas/ToolChunk.yaml | 17 + vscode/prompty/schemas/ToolResult.yaml | 17 + web/src/content/docs/reference/AudioPart.md | 46 ++ web/src/content/docs/reference/ContentPart.md | 65 ++ web/src/content/docs/reference/ErrorChunk.md | 43 + web/src/content/docs/reference/FilePart.md | 46 ++ .../content/docs/reference/GuardrailResult.md | 44 + web/src/content/docs/reference/ImagePart.md | 49 ++ web/src/content/docs/reference/Message.md | 57 ++ web/src/content/docs/reference/ModelInfo.md | 64 ++ web/src/content/docs/reference/PromptyTool.md | 10 +- web/src/content/docs/reference/StreamChunk.md | 61 ++ web/src/content/docs/reference/TextChunk.md | 43 + web/src/content/docs/reference/TextPart.md | 43 + .../content/docs/reference/ThinkingChunk.md | 43 + web/src/content/docs/reference/Tool.md | 1 - web/src/content/docs/reference/ToolCall.md | 44 + web/src/content/docs/reference/ToolChunk.md | 58 ++ web/src/content/docs/reference/ToolResult.md | 53 ++ web/src/content/docs/reference/index.md | 97 ++- 225 files changed, 18962 insertions(+), 2253 deletions(-) create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/AudioPartConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/ContentPartConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/ErrorChunkConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/FilePartConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/GuardrailResultConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/ImagePartConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/MessageConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/ModelInfoConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/StreamChunkConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/TextChunkConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/TextPartConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/ThinkingChunkConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/ToolChunkConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core.Tests/Model/ToolResultConversionTests.cs create mode 100644 runtime/csharp/Prompty.Core/Model/AudioPart.cs create mode 100644 runtime/csharp/Prompty.Core/Model/ContentPart.cs create mode 100644 runtime/csharp/Prompty.Core/Model/ErrorChunk.cs create mode 100644 runtime/csharp/Prompty.Core/Model/FilePart.cs create mode 100644 runtime/csharp/Prompty.Core/Model/GuardrailResult.cs create mode 100644 runtime/csharp/Prompty.Core/Model/ImagePart.cs create mode 100644 runtime/csharp/Prompty.Core/Model/Message.cs create mode 100644 runtime/csharp/Prompty.Core/Model/ModelInfo.cs create mode 100644 runtime/csharp/Prompty.Core/Model/StreamChunk.cs create mode 100644 runtime/csharp/Prompty.Core/Model/TextChunk.cs create mode 100644 runtime/csharp/Prompty.Core/Model/TextPart.cs create mode 100644 runtime/csharp/Prompty.Core/Model/ThinkingChunk.cs create mode 100644 runtime/csharp/Prompty.Core/Model/ToolCall.cs create mode 100644 runtime/csharp/Prompty.Core/Model/ToolChunk.cs create mode 100644 runtime/csharp/Prompty.Core/Model/ToolResult.cs create mode 100644 runtime/go/prompty/model/audio_part_test.go create mode 100644 runtime/go/prompty/model/content_part.go create mode 100644 runtime/go/prompty/model/content_part_test.go create mode 100644 runtime/go/prompty/model/error_chunk_test.go create mode 100644 runtime/go/prompty/model/file_part_test.go create mode 100644 runtime/go/prompty/model/guardrail_result.go create mode 100644 runtime/go/prompty/model/guardrail_result_test.go create mode 100644 runtime/go/prompty/model/image_part_test.go create mode 100644 runtime/go/prompty/model/message.go create mode 100644 runtime/go/prompty/model/message_test.go create mode 100644 runtime/go/prompty/model/model_info.go create mode 100644 runtime/go/prompty/model/model_info_test.go create mode 100644 runtime/go/prompty/model/stream_chunk.go create mode 100644 runtime/go/prompty/model/stream_chunk_test.go create mode 100644 runtime/go/prompty/model/text_chunk_test.go create mode 100644 runtime/go/prompty/model/text_part_test.go create mode 100644 runtime/go/prompty/model/thinking_chunk_test.go create mode 100644 runtime/go/prompty/model/tool_call.go create mode 100644 runtime/go/prompty/model/tool_call_test.go create mode 100644 runtime/go/prompty/model/tool_chunk_test.go create mode 100644 runtime/go/prompty/model/tool_result.go create mode 100644 runtime/go/prompty/model/tool_result_test.go create mode 100644 runtime/python/prompty/prompty/model/_ContentPart.py create mode 100644 runtime/python/prompty/prompty/model/_GuardrailResult.py create mode 100644 runtime/python/prompty/prompty/model/_Message.py create mode 100644 runtime/python/prompty/prompty/model/_ModelInfo.py create mode 100644 runtime/python/prompty/prompty/model/_StreamChunk.py create mode 100644 runtime/python/prompty/prompty/model/_ToolCall.py create mode 100644 runtime/python/prompty/prompty/model/_ToolResult.py create mode 100644 runtime/python/prompty/tests/model/test_audio_part.py create mode 100644 runtime/python/prompty/tests/model/test_content_part.py create mode 100644 runtime/python/prompty/tests/model/test_error_chunk.py create mode 100644 runtime/python/prompty/tests/model/test_file_part.py create mode 100644 runtime/python/prompty/tests/model/test_guardrail_result.py create mode 100644 runtime/python/prompty/tests/model/test_image_part.py create mode 100644 runtime/python/prompty/tests/model/test_message.py create mode 100644 runtime/python/prompty/tests/model/test_model_info.py create mode 100644 runtime/python/prompty/tests/model/test_stream_chunk.py create mode 100644 runtime/python/prompty/tests/model/test_text_chunk.py create mode 100644 runtime/python/prompty/tests/model/test_text_part.py create mode 100644 runtime/python/prompty/tests/model/test_thinking_chunk.py create mode 100644 runtime/python/prompty/tests/model/test_tool_call.py create mode 100644 runtime/python/prompty/tests/model/test_tool_chunk.py create mode 100644 runtime/python/prompty/tests/model/test_tool_result.py create mode 100644 runtime/rust/prompty/src/model/content_part.rs create mode 100644 runtime/rust/prompty/src/model/guardrail_result.rs create mode 100644 runtime/rust/prompty/src/model/message.rs create mode 100644 runtime/rust/prompty/src/model/model_info.rs create mode 100644 runtime/rust/prompty/src/model/stream_chunk.rs create mode 100644 runtime/rust/prompty/src/model/tool_call.rs create mode 100644 runtime/rust/prompty/src/model/tool_result.rs create mode 100644 runtime/rust/prompty/tests/model/content_part_test.rs create mode 100644 runtime/rust/prompty/tests/model/guardrail_result_test.rs create mode 100644 runtime/rust/prompty/tests/model/message_test.rs create mode 100644 runtime/rust/prompty/tests/model/model_info_test.rs create mode 100644 runtime/rust/prompty/tests/model/stream_chunk_test.rs create mode 100644 runtime/rust/prompty/tests/model/tool_call_test.rs create mode 100644 runtime/rust/prompty/tests/model/tool_result_test.rs create mode 100644 runtime/typescript/packages/core/src/model/content-part.ts create mode 100644 runtime/typescript/packages/core/src/model/guardrail-result.ts create mode 100644 runtime/typescript/packages/core/src/model/message.ts create mode 100644 runtime/typescript/packages/core/src/model/model-info.ts create mode 100644 runtime/typescript/packages/core/src/model/stream-chunk.ts create mode 100644 runtime/typescript/packages/core/src/model/tool-call.ts create mode 100644 runtime/typescript/packages/core/src/model/tool-result.ts create mode 100644 runtime/typescript/packages/core/tests/model/audio-part.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/content-part.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/error-chunk.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/file-part.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/guardrail-result.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/image-part.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/message.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/model-info.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/stream-chunk.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/text-chunk.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/text-part.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/thinking-chunk.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/tool-call.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/tool-chunk.test.ts create mode 100644 runtime/typescript/packages/core/tests/model/tool-result.test.ts create mode 100644 schema/model/discovery.tsp create mode 100644 schema/model/events.tsp create mode 100644 schema/model/guardrails.tsp create mode 100644 schema/model/message.tsp create mode 100644 vscode/prompty/schemas/AudioPart.yaml create mode 100644 vscode/prompty/schemas/ContentPart.yaml create mode 100644 vscode/prompty/schemas/ErrorChunk.yaml create mode 100644 vscode/prompty/schemas/FilePart.yaml create mode 100644 vscode/prompty/schemas/GuardrailResult.yaml create mode 100644 vscode/prompty/schemas/ImagePart.yaml create mode 100644 vscode/prompty/schemas/Message.yaml create mode 100644 vscode/prompty/schemas/ModelInfo.yaml create mode 100644 vscode/prompty/schemas/StreamChunk.yaml create mode 100644 vscode/prompty/schemas/TextChunk.yaml create mode 100644 vscode/prompty/schemas/TextPart.yaml create mode 100644 vscode/prompty/schemas/ThinkingChunk.yaml create mode 100644 vscode/prompty/schemas/ToolCall.yaml create mode 100644 vscode/prompty/schemas/ToolChunk.yaml create mode 100644 vscode/prompty/schemas/ToolResult.yaml create mode 100644 web/src/content/docs/reference/AudioPart.md create mode 100644 web/src/content/docs/reference/ContentPart.md create mode 100644 web/src/content/docs/reference/ErrorChunk.md create mode 100644 web/src/content/docs/reference/FilePart.md create mode 100644 web/src/content/docs/reference/GuardrailResult.md create mode 100644 web/src/content/docs/reference/ImagePart.md create mode 100644 web/src/content/docs/reference/Message.md create mode 100644 web/src/content/docs/reference/ModelInfo.md create mode 100644 web/src/content/docs/reference/StreamChunk.md create mode 100644 web/src/content/docs/reference/TextChunk.md create mode 100644 web/src/content/docs/reference/TextPart.md create mode 100644 web/src/content/docs/reference/ThinkingChunk.md create mode 100644 web/src/content/docs/reference/ToolCall.md create mode 100644 web/src/content/docs/reference/ToolChunk.md create mode 100644 web/src/content/docs/reference/ToolResult.md diff --git a/runtime/csharp/Prompty.Core.Tests/Model/AudioPartConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/AudioPartConversionTests.cs new file mode 100644 index 00000000..eead10b6 --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/AudioPartConversionTests.cs @@ -0,0 +1,123 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class AudioPartConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +source: "https://example.com/audio.wav" +mediaType: audio/wav + +"""; + + var instance = AudioPart.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.Equal("https://example.com/audio.wav", instance.Source); + Assert.Equal("audio/wav", instance.MediaType); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" +} +"""; + + var instance = AudioPart.FromJson(jsonData); + Assert.NotNull(instance); + Assert.Equal("https://example.com/audio.wav", instance.Source); + Assert.Equal("audio/wav", instance.MediaType); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" +} +"""; + + var original = AudioPart.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = AudioPart.FromJson(json); + Assert.NotNull(reloaded); + Assert.Equal("https://example.com/audio.wav", reloaded.Source); + Assert.Equal("audio/wav", reloaded.MediaType); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +source: "https://example.com/audio.wav" +mediaType: audio/wav + +"""; + + var original = AudioPart.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = AudioPart.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.Equal("https://example.com/audio.wav", reloaded.Source); + Assert.Equal("audio/wav", reloaded.MediaType); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" +} +"""; + + var instance = AudioPart.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +source: "https://example.com/audio.wav" +mediaType: audio/wav + +"""; + + var instance = AudioPart.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/ContentPartConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/ContentPartConversionTests.cs new file mode 100644 index 00000000..2db3b99c --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/ContentPartConversionTests.cs @@ -0,0 +1,11 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class ContentPartConversionTests +{ +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/ErrorChunkConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/ErrorChunkConversionTests.cs new file mode 100644 index 00000000..ca1e5f1f --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/ErrorChunkConversionTests.cs @@ -0,0 +1,113 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class ErrorChunkConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +message: Rate limit exceeded + +"""; + + var instance = ErrorChunk.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.Equal("Rate limit exceeded", instance.Message); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "message": "Rate limit exceeded" +} +"""; + + var instance = ErrorChunk.FromJson(jsonData); + Assert.NotNull(instance); + Assert.Equal("Rate limit exceeded", instance.Message); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "message": "Rate limit exceeded" +} +"""; + + var original = ErrorChunk.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = ErrorChunk.FromJson(json); + Assert.NotNull(reloaded); + Assert.Equal("Rate limit exceeded", reloaded.Message); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +message: Rate limit exceeded + +"""; + + var original = ErrorChunk.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = ErrorChunk.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.Equal("Rate limit exceeded", reloaded.Message); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "message": "Rate limit exceeded" +} +"""; + + var instance = ErrorChunk.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +message: Rate limit exceeded + +"""; + + var instance = ErrorChunk.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/FilePartConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/FilePartConversionTests.cs new file mode 100644 index 00000000..ba080595 --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/FilePartConversionTests.cs @@ -0,0 +1,123 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class FilePartConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +source: "https://example.com/document.pdf" +mediaType: application/pdf + +"""; + + var instance = FilePart.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.Equal("https://example.com/document.pdf", instance.Source); + Assert.Equal("application/pdf", instance.MediaType); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" +} +"""; + + var instance = FilePart.FromJson(jsonData); + Assert.NotNull(instance); + Assert.Equal("https://example.com/document.pdf", instance.Source); + Assert.Equal("application/pdf", instance.MediaType); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" +} +"""; + + var original = FilePart.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = FilePart.FromJson(json); + Assert.NotNull(reloaded); + Assert.Equal("https://example.com/document.pdf", reloaded.Source); + Assert.Equal("application/pdf", reloaded.MediaType); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +source: "https://example.com/document.pdf" +mediaType: application/pdf + +"""; + + var original = FilePart.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = FilePart.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.Equal("https://example.com/document.pdf", reloaded.Source); + Assert.Equal("application/pdf", reloaded.MediaType); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" +} +"""; + + var instance = FilePart.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +source: "https://example.com/document.pdf" +mediaType: application/pdf + +"""; + + var instance = FilePart.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/GuardrailResultConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/GuardrailResultConversionTests.cs new file mode 100644 index 00000000..03ddc9ea --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/GuardrailResultConversionTests.cs @@ -0,0 +1,123 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class GuardrailResultConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +allowed: true +reason: Content is safe + +"""; + + var instance = GuardrailResult.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.True(instance.Allowed); + Assert.Equal("Content is safe", instance.Reason); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "allowed": true, + "reason": "Content is safe" +} +"""; + + var instance = GuardrailResult.FromJson(jsonData); + Assert.NotNull(instance); + Assert.True(instance.Allowed); + Assert.Equal("Content is safe", instance.Reason); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "allowed": true, + "reason": "Content is safe" +} +"""; + + var original = GuardrailResult.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = GuardrailResult.FromJson(json); + Assert.NotNull(reloaded); + Assert.True(reloaded.Allowed); + Assert.Equal("Content is safe", reloaded.Reason); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +allowed: true +reason: Content is safe + +"""; + + var original = GuardrailResult.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = GuardrailResult.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.True(reloaded.Allowed); + Assert.Equal("Content is safe", reloaded.Reason); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "allowed": true, + "reason": "Content is safe" +} +"""; + + var instance = GuardrailResult.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +allowed: true +reason: Content is safe + +"""; + + var instance = GuardrailResult.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/ImagePartConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/ImagePartConversionTests.cs new file mode 100644 index 00000000..a220ffb5 --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/ImagePartConversionTests.cs @@ -0,0 +1,133 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class ImagePartConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +source: "https://example.com/image.png" +detail: auto +mediaType: image/png + +"""; + + var instance = ImagePart.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.Equal("https://example.com/image.png", instance.Source); + Assert.Equal("auto", instance.Detail); + Assert.Equal("image/png", instance.MediaType); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" +} +"""; + + var instance = ImagePart.FromJson(jsonData); + Assert.NotNull(instance); + Assert.Equal("https://example.com/image.png", instance.Source); + Assert.Equal("auto", instance.Detail); + Assert.Equal("image/png", instance.MediaType); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" +} +"""; + + var original = ImagePart.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = ImagePart.FromJson(json); + Assert.NotNull(reloaded); + Assert.Equal("https://example.com/image.png", reloaded.Source); + Assert.Equal("auto", reloaded.Detail); + Assert.Equal("image/png", reloaded.MediaType); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +source: "https://example.com/image.png" +detail: auto +mediaType: image/png + +"""; + + var original = ImagePart.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = ImagePart.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.Equal("https://example.com/image.png", reloaded.Source); + Assert.Equal("auto", reloaded.Detail); + Assert.Equal("image/png", reloaded.MediaType); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" +} +"""; + + var instance = ImagePart.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +source: "https://example.com/image.png" +detail: auto +mediaType: image/png + +"""; + + var instance = ImagePart.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/MessageConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/MessageConversionTests.cs new file mode 100644 index 00000000..bfa0ef09 --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/MessageConversionTests.cs @@ -0,0 +1,155 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class MessageConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +role: user +parts: + - kind: text + value: Hello! +metadata: + source: user-input + +"""; + + var instance = Message.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.Equal("user", instance.Role); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } +} +"""; + + var instance = Message.FromJson(jsonData); + Assert.NotNull(instance); + Assert.Equal("user", instance.Role); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } +} +"""; + + var original = Message.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = Message.FromJson(json); + Assert.NotNull(reloaded); + Assert.Equal("user", reloaded.Role); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +role: user +parts: + - kind: text + value: Hello! +metadata: + source: user-input + +"""; + + var original = Message.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = Message.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.Equal("user", reloaded.Role); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } +} +"""; + + var instance = Message.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +role: user +parts: + - kind: text + value: Hello! +metadata: + source: user-input + +"""; + + var instance = Message.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/ModelInfoConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/ModelInfoConversionTests.cs new file mode 100644 index 00000000..98f901ac --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/ModelInfoConversionTests.cs @@ -0,0 +1,194 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class ModelInfoConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +id: gpt-4o +displayName: GPT-4o +ownedBy: openai +contextWindow: 128000 +inputModalities: + - text + - image +outputModalities: + - text +additionalProperties: + supportsStreaming: true + +"""; + + var instance = ModelInfo.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.Equal("gpt-4o", instance.Id); + Assert.Equal("GPT-4o", instance.DisplayName); + Assert.Equal("openai", instance.OwnedBy); + Assert.Equal(128000, instance.ContextWindow); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } +} +"""; + + var instance = ModelInfo.FromJson(jsonData); + Assert.NotNull(instance); + Assert.Equal("gpt-4o", instance.Id); + Assert.Equal("GPT-4o", instance.DisplayName); + Assert.Equal("openai", instance.OwnedBy); + Assert.Equal(128000, instance.ContextWindow); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } +} +"""; + + var original = ModelInfo.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = ModelInfo.FromJson(json); + Assert.NotNull(reloaded); + Assert.Equal("gpt-4o", reloaded.Id); + Assert.Equal("GPT-4o", reloaded.DisplayName); + Assert.Equal("openai", reloaded.OwnedBy); + Assert.Equal(128000, reloaded.ContextWindow); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +id: gpt-4o +displayName: GPT-4o +ownedBy: openai +contextWindow: 128000 +inputModalities: + - text + - image +outputModalities: + - text +additionalProperties: + supportsStreaming: true + +"""; + + var original = ModelInfo.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = ModelInfo.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.Equal("gpt-4o", reloaded.Id); + Assert.Equal("GPT-4o", reloaded.DisplayName); + Assert.Equal("openai", reloaded.OwnedBy); + Assert.Equal(128000, reloaded.ContextWindow); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } +} +"""; + + var instance = ModelInfo.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +id: gpt-4o +displayName: GPT-4o +ownedBy: openai +contextWindow: 128000 +inputModalities: + - text + - image +outputModalities: + - text +additionalProperties: + supportsStreaming: true + +"""; + + var instance = ModelInfo.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/PromptyToolConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/PromptyToolConversionTests.cs index e6eca0ca..493073df 100644 --- a/runtime/csharp/Prompty.Core.Tests/Model/PromptyToolConversionTests.cs +++ b/runtime/csharp/Prompty.Core.Tests/Model/PromptyToolConversionTests.cs @@ -14,7 +14,6 @@ public void LoadYamlInput() string yamlData = """ kind: prompty path: ./summarize.prompty -mode: single """; @@ -23,7 +22,6 @@ public void LoadYamlInput() Assert.NotNull(instance); Assert.Equal("prompty", instance.Kind); Assert.Equal("./summarize.prompty", instance.Path); - Assert.Equal("single", instance.Mode); } [Fact] @@ -32,8 +30,7 @@ public void LoadJsonInput() string jsonData = """ { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } """; @@ -41,7 +38,6 @@ public void LoadJsonInput() Assert.NotNull(instance); Assert.Equal("prompty", instance.Kind); Assert.Equal("./summarize.prompty", instance.Path); - Assert.Equal("single", instance.Mode); } [Fact] @@ -51,8 +47,7 @@ public void RoundtripJson() string jsonData = """ { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } """; @@ -66,7 +61,6 @@ public void RoundtripJson() Assert.NotNull(reloaded); Assert.Equal("prompty", reloaded.Kind); Assert.Equal("./summarize.prompty", reloaded.Path); - Assert.Equal("single", reloaded.Mode); } [Fact] @@ -76,7 +70,6 @@ public void RoundtripYaml() string yamlData = """ kind: prompty path: ./summarize.prompty -mode: single """; @@ -90,7 +83,6 @@ public void RoundtripYaml() Assert.NotNull(reloaded); Assert.Equal("prompty", reloaded.Kind); Assert.Equal("./summarize.prompty", reloaded.Path); - Assert.Equal("single", reloaded.Mode); } [Fact] @@ -99,8 +91,7 @@ public void ToJsonProducesValidJson() string jsonData = """ { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } """; @@ -118,7 +109,6 @@ public void ToYamlProducesValidYaml() string yamlData = """ kind: prompty path: ./summarize.prompty -mode: single """; diff --git a/runtime/csharp/Prompty.Core.Tests/Model/StreamChunkConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/StreamChunkConversionTests.cs new file mode 100644 index 00000000..79f4fd79 --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/StreamChunkConversionTests.cs @@ -0,0 +1,11 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class StreamChunkConversionTests +{ +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/TextChunkConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/TextChunkConversionTests.cs new file mode 100644 index 00000000..b73c65d2 --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/TextChunkConversionTests.cs @@ -0,0 +1,113 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class TextChunkConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +value: Hello + +"""; + + var instance = TextChunk.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.Equal("Hello", instance.Value); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "value": "Hello" +} +"""; + + var instance = TextChunk.FromJson(jsonData); + Assert.NotNull(instance); + Assert.Equal("Hello", instance.Value); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "value": "Hello" +} +"""; + + var original = TextChunk.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = TextChunk.FromJson(json); + Assert.NotNull(reloaded); + Assert.Equal("Hello", reloaded.Value); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +value: Hello + +"""; + + var original = TextChunk.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = TextChunk.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.Equal("Hello", reloaded.Value); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "value": "Hello" +} +"""; + + var instance = TextChunk.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +value: Hello + +"""; + + var instance = TextChunk.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/TextPartConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/TextPartConversionTests.cs new file mode 100644 index 00000000..f92f5cc3 --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/TextPartConversionTests.cs @@ -0,0 +1,113 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class TextPartConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +value: Hello, world! + +"""; + + var instance = TextPart.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.Equal("Hello, world!", instance.Value); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "value": "Hello, world!" +} +"""; + + var instance = TextPart.FromJson(jsonData); + Assert.NotNull(instance); + Assert.Equal("Hello, world!", instance.Value); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "value": "Hello, world!" +} +"""; + + var original = TextPart.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = TextPart.FromJson(json); + Assert.NotNull(reloaded); + Assert.Equal("Hello, world!", reloaded.Value); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +value: Hello, world! + +"""; + + var original = TextPart.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = TextPart.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.Equal("Hello, world!", reloaded.Value); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "value": "Hello, world!" +} +"""; + + var instance = TextPart.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +value: Hello, world! + +"""; + + var instance = TextPart.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/ThinkingChunkConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/ThinkingChunkConversionTests.cs new file mode 100644 index 00000000..9075e30c --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/ThinkingChunkConversionTests.cs @@ -0,0 +1,113 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class ThinkingChunkConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +value: Let me consider... + +"""; + + var instance = ThinkingChunk.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.Equal("Let me consider...", instance.Value); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "value": "Let me consider..." +} +"""; + + var instance = ThinkingChunk.FromJson(jsonData); + Assert.NotNull(instance); + Assert.Equal("Let me consider...", instance.Value); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "value": "Let me consider..." +} +"""; + + var original = ThinkingChunk.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = ThinkingChunk.FromJson(json); + Assert.NotNull(reloaded); + Assert.Equal("Let me consider...", reloaded.Value); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +value: Let me consider... + +"""; + + var original = ThinkingChunk.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = ThinkingChunk.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.Equal("Let me consider...", reloaded.Value); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "value": "Let me consider..." +} +"""; + + var instance = ThinkingChunk.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +value: Let me consider... + +"""; + + var instance = ThinkingChunk.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs new file mode 100644 index 00000000..be0639c8 --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs @@ -0,0 +1,133 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class ToolCallConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +id: call_abc123 +name: get_weather +arguments: "{\"city\": \"Paris\"}" + +"""; + + var instance = ToolCall.FromYaml(yamlData); + + Assert.NotNull(instance); + Assert.Equal("call_abc123", instance.Id); + Assert.Equal("get_weather", instance.Name); + Assert.Equal("{"city": "Paris"}", instance.Arguments); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" +} +"""; + + var instance = ToolCall.FromJson(jsonData); + Assert.NotNull(instance); + Assert.Equal("call_abc123", instance.Id); + Assert.Equal("get_weather", instance.Name); + Assert.Equal("{"city": "Paris"}", instance.Arguments); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" +} +"""; + + var original = ToolCall.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = ToolCall.FromJson(json); + Assert.NotNull(reloaded); + Assert.Equal("call_abc123", reloaded.Id); + Assert.Equal("get_weather", reloaded.Name); + Assert.Equal("{"city": "Paris"}", reloaded.Arguments); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +id: call_abc123 +name: get_weather +arguments: "{\"city\": \"Paris\"}" + +"""; + + var original = ToolCall.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = ToolCall.FromYaml(yaml); + Assert.NotNull(reloaded); + Assert.Equal("call_abc123", reloaded.Id); + Assert.Equal("get_weather", reloaded.Name); + Assert.Equal("{"city": "Paris"}", reloaded.Arguments); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" +} +"""; + + var instance = ToolCall.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +id: call_abc123 +name: get_weather +arguments: "{\"city\": \"Paris\"}" + +"""; + + var instance = ToolCall.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/ToolChunkConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/ToolChunkConversionTests.cs new file mode 100644 index 00000000..1cd82984 --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/ToolChunkConversionTests.cs @@ -0,0 +1,130 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class ToolChunkConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +toolCall: + id: call_abc123 + name: get_weather + arguments: "{\"city\": \"Paris\"}" + +"""; + + var instance = ToolChunk.FromYaml(yamlData); + + Assert.NotNull(instance); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } +} +"""; + + var instance = ToolChunk.FromJson(jsonData); + Assert.NotNull(instance); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } +} +"""; + + var original = ToolChunk.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = ToolChunk.FromJson(json); + Assert.NotNull(reloaded); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +toolCall: + id: call_abc123 + name: get_weather + arguments: "{\"city\": \"Paris\"}" + +"""; + + var original = ToolChunk.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = ToolChunk.FromYaml(yaml); + Assert.NotNull(reloaded); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } +} +"""; + + var instance = ToolChunk.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +toolCall: + id: call_abc123 + name: get_weather + arguments: "{\"city\": \"Paris\"}" + +"""; + + var instance = ToolChunk.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core.Tests/Model/ToolResultConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/ToolResultConversionTests.cs new file mode 100644 index 00000000..eed81167 --- /dev/null +++ b/runtime/csharp/Prompty.Core.Tests/Model/ToolResultConversionTests.cs @@ -0,0 +1,130 @@ + +using Xunit; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + + +public class ToolResultConversionTests +{ + [Fact] + public void LoadYamlInput() + { + string yamlData = """ +parts: + - kind: text + value: 72°F and sunny + +"""; + + var instance = ToolResult.FromYaml(yamlData); + + Assert.NotNull(instance); + } + + [Fact] + public void LoadJsonInput() + { + string jsonData = """ +{ + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] +} +"""; + + var instance = ToolResult.FromJson(jsonData); + Assert.NotNull(instance); + } + + [Fact] + public void RoundtripJson() + { + // Test that FromJson -> ToJson -> FromJson produces equivalent data + string jsonData = """ +{ + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] +} +"""; + + var original = ToolResult.FromJson(jsonData); + Assert.NotNull(original); + + var json = original.ToJson(); + Assert.False(string.IsNullOrEmpty(json)); + + var reloaded = ToolResult.FromJson(json); + Assert.NotNull(reloaded); + } + + [Fact] + public void RoundtripYaml() + { + // Test that FromYaml -> ToYaml -> FromYaml produces equivalent data + string yamlData = """ +parts: + - kind: text + value: 72°F and sunny + +"""; + + var original = ToolResult.FromYaml(yamlData); + Assert.NotNull(original); + + var yaml = original.ToYaml(); + Assert.False(string.IsNullOrEmpty(yaml)); + + var reloaded = ToolResult.FromYaml(yaml); + Assert.NotNull(reloaded); + } + + [Fact] + public void ToJsonProducesValidJson() + { + string jsonData = """ +{ + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] +} +"""; + + var instance = ToolResult.FromJson(jsonData); + var json = instance.ToJson(); + + // Verify it's valid JSON by parsing it + var parsed = System.Text.Json.JsonDocument.Parse(json); + Assert.NotNull(parsed); + } + + [Fact] + public void ToYamlProducesValidYaml() + { + string yamlData = """ +parts: + - kind: text + value: 72°F and sunny + +"""; + + var instance = ToolResult.FromYaml(yamlData); + var yaml = instance.ToYaml(); + + // Verify it's valid YAML by parsing it + var deserializer = new YamlDotNet.Serialization.DeserializerBuilder().Build(); + var parsed = deserializer.Deserialize(yaml); + Assert.NotNull(parsed); + } +} diff --git a/runtime/csharp/Prompty.Core/Model/AudioPart.cs b/runtime/csharp/Prompty.Core/Model/AudioPart.cs new file mode 100644 index 00000000..850d036e --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/AudioPart.cs @@ -0,0 +1,184 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// An audio content part. The source may be a URL or base64-encoded data. +/// +public class AudioPart : ContentPart +{ + /// + /// The shorthand property name for this type, if any. + /// + public new static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public AudioPart() + { + } +#pragma warning restore CS8618 + + /// + /// The kind identifier for audio content + /// + public override string Kind { get; set; } = "audio"; + + /// + /// URL or base64-encoded audio data + /// + public string Source { get; set; } = string.Empty; + + /// + /// MIME type of the audio (e.g., 'audio/wav') + /// + public string? MediaType { get; set; } + + + #region Load Methods + + /// + /// Load a AudioPart instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded AudioPart instance. + public new static AudioPart Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new AudioPart(); + + + if (data.TryGetValue("kind", out var kindValue) && kindValue is not null) + { + instance.Kind = kindValue?.ToString()!; + } + + if (data.TryGetValue("source", out var sourceValue) && sourceValue is not null) + { + instance.Source = sourceValue?.ToString()!; + } + + if (data.TryGetValue("mediaType", out var mediaTypeValue) && mediaTypeValue is not null) + { + instance.MediaType = mediaTypeValue?.ToString()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the AudioPart instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public override Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + // Start with parent class properties + var result = base.Save(context); + + + if (obj.Kind is not null) + { + result["kind"] = obj.Kind; + } + + if (obj.Source is not null) + { + result["source"] = obj.Source; + } + + if (obj.MediaType is not null) + { + result["mediaType"] = obj.MediaType; + } + + + return result; + } + + + /// + /// Convert the AudioPart instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public new string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the AudioPart instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public new string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a AudioPart instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded AudioPart instance. + public new static AudioPart FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a AudioPart instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded AudioPart instance. + public new static AudioPart FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/ContentPart.cs b/runtime/csharp/Prompty.Core/Model/ContentPart.cs new file mode 100644 index 00000000..4d452c7f --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/ContentPart.cs @@ -0,0 +1,182 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// A part of a message's content. Content parts are discriminated on the `kind` +/// field and represent the different modalities that can appear in a message. +/// +public abstract class ContentPart +{ + /// + /// The shorthand property name for this type, if any. + /// + public static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + protected ContentPart() + { + } +#pragma warning restore CS8618 + + /// + /// The kind of content part + /// + public virtual string Kind { get; set; } = string.Empty; + + + #region Load Methods + + /// + /// Load a ContentPart instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded ContentPart instance. + public static ContentPart Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Load polymorphic ContentPart instance + var instance = LoadKind(data, context); + + + if (data.TryGetValue("kind", out var kindValue) && kindValue is not null) + { + instance.Kind = kindValue?.ToString()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + /// + /// Load polymorphic ContentPart based on discriminator. + /// + private static ContentPart LoadKind(Dictionary data, LoadContext? context) + { + if (data.TryGetValue("kind", out var discriminatorValue) && discriminatorValue is not null) + { + var discriminator = discriminatorValue.ToString()?.ToLowerInvariant(); + return discriminator switch + { + "text" => TextPart.Load(data, context), + "image" => ImagePart.Load(data, context), + "file" => FilePart.Load(data, context), + "audio" => AudioPart.Load(data, context), + _ => throw new ArgumentException($"Unknown ContentPart discriminator value: {discriminator}"), + }; + } + + throw new ArgumentException("Missing ContentPart discriminator property: 'kind'"); + + } + + + #endregion + + #region Save Methods + + /// + /// Save the ContentPart instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public virtual Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + var result = new Dictionary(); + + + if (obj.Kind is not null) + { + result["kind"] = obj.Kind; + } + + + if (context is not null) + { + result = context.ProcessDict(result); + } + + return result; + } + + + /// + /// Convert the ContentPart instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the ContentPart instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a ContentPart instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ContentPart instance. + public static ContentPart FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a ContentPart instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ContentPart instance. + public static ContentPart FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/ErrorChunk.cs b/runtime/csharp/Prompty.Core/Model/ErrorChunk.cs new file mode 100644 index 00000000..fed34c4d --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/ErrorChunk.cs @@ -0,0 +1,169 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// An error chunk from the LLM response stream. +/// +public class ErrorChunk : StreamChunk +{ + /// + /// The shorthand property name for this type, if any. + /// + public new static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public ErrorChunk() + { + } +#pragma warning restore CS8618 + + /// + /// The kind identifier for error chunks + /// + public override string Kind { get; set; } = "error"; + + /// + /// The error message + /// + public string Message { get; set; } = string.Empty; + + + #region Load Methods + + /// + /// Load a ErrorChunk instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded ErrorChunk instance. + public new static ErrorChunk Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new ErrorChunk(); + + + if (data.TryGetValue("kind", out var kindValue) && kindValue is not null) + { + instance.Kind = kindValue?.ToString()!; + } + + if (data.TryGetValue("message", out var messageValue) && messageValue is not null) + { + instance.Message = messageValue?.ToString()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the ErrorChunk instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public override Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + // Start with parent class properties + var result = base.Save(context); + + + if (obj.Kind is not null) + { + result["kind"] = obj.Kind; + } + + if (obj.Message is not null) + { + result["message"] = obj.Message; + } + + + return result; + } + + + /// + /// Convert the ErrorChunk instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public new string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the ErrorChunk instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public new string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a ErrorChunk instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ErrorChunk instance. + public new static ErrorChunk FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a ErrorChunk instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ErrorChunk instance. + public new static ErrorChunk FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/FilePart.cs b/runtime/csharp/Prompty.Core/Model/FilePart.cs new file mode 100644 index 00000000..7f3e5a53 --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/FilePart.cs @@ -0,0 +1,184 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// A file content part. The source may be a URL or base64-encoded data. +/// +public class FilePart : ContentPart +{ + /// + /// The shorthand property name for this type, if any. + /// + public new static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public FilePart() + { + } +#pragma warning restore CS8618 + + /// + /// The kind identifier for file content + /// + public override string Kind { get; set; } = "file"; + + /// + /// URL or base64-encoded file data + /// + public string Source { get; set; } = string.Empty; + + /// + /// MIME type of the file (e.g., 'application/pdf') + /// + public string? MediaType { get; set; } + + + #region Load Methods + + /// + /// Load a FilePart instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded FilePart instance. + public new static FilePart Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new FilePart(); + + + if (data.TryGetValue("kind", out var kindValue) && kindValue is not null) + { + instance.Kind = kindValue?.ToString()!; + } + + if (data.TryGetValue("source", out var sourceValue) && sourceValue is not null) + { + instance.Source = sourceValue?.ToString()!; + } + + if (data.TryGetValue("mediaType", out var mediaTypeValue) && mediaTypeValue is not null) + { + instance.MediaType = mediaTypeValue?.ToString()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the FilePart instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public override Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + // Start with parent class properties + var result = base.Save(context); + + + if (obj.Kind is not null) + { + result["kind"] = obj.Kind; + } + + if (obj.Source is not null) + { + result["source"] = obj.Source; + } + + if (obj.MediaType is not null) + { + result["mediaType"] = obj.MediaType; + } + + + return result; + } + + + /// + /// Convert the FilePart instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public new string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the FilePart instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public new string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a FilePart instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded FilePart instance. + public new static FilePart FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a FilePart instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded FilePart instance. + public new static FilePart FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs b/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs new file mode 100644 index 00000000..b14eb18c --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs @@ -0,0 +1,190 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// The result of a guardrail evaluation. Guardrails are safety checks that +/// run at specific phases of the agent loop and can allow, deny, or rewrite +/// content. +/// +public class GuardrailResult +{ + /// + /// The shorthand property name for this type, if any. + /// + public static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public GuardrailResult() + { + } +#pragma warning restore CS8618 + + /// + /// Whether the content passed the guardrail check + /// + public bool Allowed { get; set; } = false; + + /// + /// Explanation of why the content was allowed or denied + /// + public string? Reason { get; set; } + + /// + /// Optional rewritten content to replace the original + /// + public object? Rewrite { get; set; } + + + #region Load Methods + + /// + /// Load a GuardrailResult instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded GuardrailResult instance. + public static GuardrailResult Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new GuardrailResult(); + + + if (data.TryGetValue("allowed", out var allowedValue) && allowedValue is not null) + { + instance.Allowed = Convert.ToBoolean(allowedValue); + } + + if (data.TryGetValue("reason", out var reasonValue) && reasonValue is not null) + { + instance.Reason = reasonValue?.ToString()!; + } + + if (data.TryGetValue("rewrite", out var rewriteValue) && rewriteValue is not null) + { + instance.Rewrite = rewriteValue; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the GuardrailResult instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + var result = new Dictionary(); + + + if (obj.Allowed is not null) + { + result["allowed"] = obj.Allowed; + } + + if (obj.Reason is not null) + { + result["reason"] = obj.Reason; + } + + if (obj.Rewrite is not null) + { + result["rewrite"] = obj.Rewrite; + } + + + if (context is not null) + { + result = context.ProcessDict(result); + } + + return result; + } + + + /// + /// Convert the GuardrailResult instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the GuardrailResult instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a GuardrailResult instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded GuardrailResult instance. + public static GuardrailResult FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a GuardrailResult instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded GuardrailResult instance. + public static GuardrailResult FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/ImagePart.cs b/runtime/csharp/Prompty.Core/Model/ImagePart.cs new file mode 100644 index 00000000..24920ffe --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/ImagePart.cs @@ -0,0 +1,199 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// An image content part. The source may be a URL or base64-encoded data. +/// +public class ImagePart : ContentPart +{ + /// + /// The shorthand property name for this type, if any. + /// + public new static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public ImagePart() + { + } +#pragma warning restore CS8618 + + /// + /// The kind identifier for image content + /// + public override string Kind { get; set; } = "image"; + + /// + /// URL or base64-encoded image data + /// + public string Source { get; set; } = string.Empty; + + /// + /// Detail level hint for the model (e.g., 'auto', 'low', 'high') + /// + public string? Detail { get; set; } + + /// + /// MIME type of the image (e.g., 'image/png') + /// + public string? MediaType { get; set; } + + + #region Load Methods + + /// + /// Load a ImagePart instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded ImagePart instance. + public new static ImagePart Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new ImagePart(); + + + if (data.TryGetValue("kind", out var kindValue) && kindValue is not null) + { + instance.Kind = kindValue?.ToString()!; + } + + if (data.TryGetValue("source", out var sourceValue) && sourceValue is not null) + { + instance.Source = sourceValue?.ToString()!; + } + + if (data.TryGetValue("detail", out var detailValue) && detailValue is not null) + { + instance.Detail = detailValue?.ToString()!; + } + + if (data.TryGetValue("mediaType", out var mediaTypeValue) && mediaTypeValue is not null) + { + instance.MediaType = mediaTypeValue?.ToString()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the ImagePart instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public override Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + // Start with parent class properties + var result = base.Save(context); + + + if (obj.Kind is not null) + { + result["kind"] = obj.Kind; + } + + if (obj.Source is not null) + { + result["source"] = obj.Source; + } + + if (obj.Detail is not null) + { + result["detail"] = obj.Detail; + } + + if (obj.MediaType is not null) + { + result["mediaType"] = obj.MediaType; + } + + + return result; + } + + + /// + /// Convert the ImagePart instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public new string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the ImagePart instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public new string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a ImagePart instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ImagePart instance. + public new static ImagePart FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a ImagePart instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ImagePart instance. + public new static ImagePart FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/Message.cs b/runtime/csharp/Prompty.Core/Model/Message.cs new file mode 100644 index 00000000..a468de4c --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/Message.cs @@ -0,0 +1,256 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// A message in a conversation. Messages have a role and a list of content parts +/// representing the different modalities of the message content. +/// +public class Message +{ + /// + /// The shorthand property name for this type, if any. + /// + public static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public Message() + { + } +#pragma warning restore CS8618 + + /// + /// The role of the message sender + /// + public string Role { get; set; } = string.Empty; + + /// + /// The content parts of the message + /// + public IList Parts { get; set; } = []; + + /// + /// Optional metadata associated with the message + /// + public IDictionary? Metadata { get; set; } + + + #region Load Methods + + /// + /// Load a Message instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded Message instance. + public static Message Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new Message(); + + + if (data.TryGetValue("role", out var roleValue) && roleValue is not null) + { + instance.Role = roleValue?.ToString()!; + } + + if (data.TryGetValue("parts", out var partsValue) && partsValue is not null) + { + instance.Parts = LoadParts(partsValue, context); + } + + if (data.TryGetValue("metadata", out var metadataValue) && metadataValue is not null) + { + instance.Metadata = metadataValue.GetDictionary()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + /// + /// Load a list of ContentPart from a dictionary or list. + /// + public static IList LoadParts(object data, LoadContext? context) + { + var result = new List(); + + if (data is Dictionary dict) + { + // Convert named dictionary to list + foreach (var kvp in dict) + { + if (kvp.Value is IEnumerable) + { + throw new ArgumentException( + $"Invalid 'parts' format: key '{kvp.Key}' has an array value. " + + $"'parts' must be a flat list of objects or a name-keyed dict — " + + "not a nested {" + kvp.Key + ": [...]} structure."); + } + var itemDict = kvp.Value.GetDictionary(); + if (itemDict.Count > 0) + { + // Value is an object, add name to it + itemDict["name"] = kvp.Key; + result.Add(ContentPart.Load(itemDict, context)); + } + else + { + // Value is a scalar, use it as the primary property + var newDict = new Dictionary + { + ["name"] = kvp.Key, + [""] = kvp.Value + }; + result.Add(ContentPart.Load(newDict, context)); + } + } + } + else if (data is IEnumerable list) + { + foreach (var item in list) + { + var itemDict = item.GetDictionary(ContentPart.ShorthandProperty); + if (itemDict.Count > 0) + { + result.Add(ContentPart.Load(itemDict, context)); + } + } + } + + return result; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the Message instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + var result = new Dictionary(); + + + if (obj.Role is not null) + { + result["role"] = obj.Role; + } + + if (obj.Parts is not null) + { + result["parts"] = SaveParts(obj.Parts, context); + } + + if (obj.Metadata is not null) + { + result["metadata"] = obj.Metadata; + } + + + if (context is not null) + { + result = context.ProcessDict(result); + } + + return result; + } + + + /// + /// Save a list of ContentPart to object or array format. + /// + public static object SaveParts(IList items, SaveContext? context) + { + context ??= new SaveContext(); + + // This collection type does not have a 'name' property, only array format is supported + return items.Select(item => item.Save(context)).ToList(); + + } + + + /// + /// Convert the Message instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the Message instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a Message instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded Message instance. + public static Message FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a Message instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded Message instance. + public static Message FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/ModelInfo.cs b/runtime/csharp/Prompty.Core/Model/ModelInfo.cs new file mode 100644 index 00000000..e5f3d0d9 --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/ModelInfo.cs @@ -0,0 +1,253 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// Information about a model available from a provider. Used by provider-level +/// model discovery to report which models are available and their capabilities. +/// +/// Not all providers return all fields — implementations SHOULD populate as +/// many fields as the provider's API supports and MAY enrich sparse results +/// from a built-in lookup table of known models. +/// +public class ModelInfo +{ + /// + /// The shorthand property name for this type, if any. + /// + public static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public ModelInfo() + { + } +#pragma warning restore CS8618 + + /// + /// The model identifier (e.g., 'gpt-4o', 'claude-3-opus') + /// + public string Id { get; set; } = string.Empty; + + /// + /// Human-readable display name + /// + public string? DisplayName { get; set; } + + /// + /// The organization or entity that owns the model + /// + public string? OwnedBy { get; set; } + + /// + /// Maximum context window size in tokens + /// + public int? ContextWindow { get; set; } + + /// + /// Input modalities the model accepts (e.g., 'text', 'image', 'audio') + /// + public IList? InputModalities { get; set; } + + /// + /// Output modalities the model can produce (e.g., 'text', 'audio') + /// + public IList? OutputModalities { get; set; } + + /// + /// Additional provider-specific properties + /// + public IDictionary? AdditionalProperties { get; set; } + + + #region Load Methods + + /// + /// Load a ModelInfo instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded ModelInfo instance. + public static ModelInfo Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new ModelInfo(); + + + if (data.TryGetValue("id", out var idValue) && idValue is not null) + { + instance.Id = idValue?.ToString()!; + } + + if (data.TryGetValue("displayName", out var displayNameValue) && displayNameValue is not null) + { + instance.DisplayName = displayNameValue?.ToString()!; + } + + if (data.TryGetValue("ownedBy", out var ownedByValue) && ownedByValue is not null) + { + instance.OwnedBy = ownedByValue?.ToString()!; + } + + if (data.TryGetValue("contextWindow", out var contextWindowValue) && contextWindowValue is not null) + { + instance.ContextWindow = Convert.ToInt32(contextWindowValue); + } + + if (data.TryGetValue("inputModalities", out var inputModalitiesValue) && inputModalitiesValue is not null) + { + instance.InputModalities = (inputModalitiesValue as IEnumerable)?.Select(x => x?.ToString()!).ToList() ?? []; + } + + if (data.TryGetValue("outputModalities", out var outputModalitiesValue) && outputModalitiesValue is not null) + { + instance.OutputModalities = (outputModalitiesValue as IEnumerable)?.Select(x => x?.ToString()!).ToList() ?? []; + } + + if (data.TryGetValue("additionalProperties", out var additionalPropertiesValue) && additionalPropertiesValue is not null) + { + instance.AdditionalProperties = additionalPropertiesValue.GetDictionary()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the ModelInfo instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + var result = new Dictionary(); + + + if (obj.Id is not null) + { + result["id"] = obj.Id; + } + + if (obj.DisplayName is not null) + { + result["displayName"] = obj.DisplayName; + } + + if (obj.OwnedBy is not null) + { + result["ownedBy"] = obj.OwnedBy; + } + + if (obj.ContextWindow is not null) + { + result["contextWindow"] = obj.ContextWindow; + } + + if (obj.InputModalities is not null) + { + result["inputModalities"] = obj.InputModalities; + } + + if (obj.OutputModalities is not null) + { + result["outputModalities"] = obj.OutputModalities; + } + + if (obj.AdditionalProperties is not null) + { + result["additionalProperties"] = obj.AdditionalProperties; + } + + + if (context is not null) + { + result = context.ProcessDict(result); + } + + return result; + } + + + /// + /// Convert the ModelInfo instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the ModelInfo instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a ModelInfo instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ModelInfo instance. + public static ModelInfo FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a ModelInfo instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ModelInfo instance. + public static ModelInfo FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/PromptyTool.cs b/runtime/csharp/Prompty.Core/Model/PromptyTool.cs index 7307bada..c52cb1a3 100644 --- a/runtime/csharp/Prompty.Core/Model/PromptyTool.cs +++ b/runtime/csharp/Prompty.Core/Model/PromptyTool.cs @@ -9,8 +9,11 @@ namespace Prompty.Core; /// /// A tool that references another .prompty file to be invoked as a tool. /// -/// In `single` mode, the child prompty is executed with a single LLM call. -/// In `agentic` mode, the child prompty runs a full agent loop with its own tools. +/// PromptyTool is always single-shot — the child prompty is loaded, rendered, +/// and executed with a single LLM call (invoke). It does NOT run an agent loop. +/// +/// Applications that need agentic sub-agent delegation should register +/// `kind: function` tools that internally call `turn()` with their own TurnOptions. /// public class PromptyTool : Tool { @@ -38,11 +41,6 @@ public PromptyTool() /// public string Path { get; set; } = string.Empty; - /// - /// Execution mode: 'single' for one LLM call, 'agentic' for full agent loop - /// - public string Mode { get; set; } = "single"; - #region Load Methods @@ -74,11 +72,6 @@ public PromptyTool() instance.Path = pathValue?.ToString()!; } - if (data.TryGetValue("mode", out var modeValue) && modeValue is not null) - { - instance.Mode = modeValue?.ToString()!; - } - if (context is not null) { instance = context.ProcessOutput(instance); @@ -120,11 +113,6 @@ public PromptyTool() result["path"] = obj.Path; } - if (obj.Mode is not null) - { - result["mode"] = obj.Mode; - } - return result; } diff --git a/runtime/csharp/Prompty.Core/Model/StreamChunk.cs b/runtime/csharp/Prompty.Core/Model/StreamChunk.cs new file mode 100644 index 00000000..b8edc9ff --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/StreamChunk.cs @@ -0,0 +1,182 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// A chunk of data from a streaming LLM response. Stream chunks are +/// discriminated on the `kind` field. +/// +public abstract class StreamChunk +{ + /// + /// The shorthand property name for this type, if any. + /// + public static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + protected StreamChunk() + { + } +#pragma warning restore CS8618 + + /// + /// The kind of stream chunk + /// + public virtual string Kind { get; set; } = string.Empty; + + + #region Load Methods + + /// + /// Load a StreamChunk instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded StreamChunk instance. + public static StreamChunk Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Load polymorphic StreamChunk instance + var instance = LoadKind(data, context); + + + if (data.TryGetValue("kind", out var kindValue) && kindValue is not null) + { + instance.Kind = kindValue?.ToString()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + /// + /// Load polymorphic StreamChunk based on discriminator. + /// + private static StreamChunk LoadKind(Dictionary data, LoadContext? context) + { + if (data.TryGetValue("kind", out var discriminatorValue) && discriminatorValue is not null) + { + var discriminator = discriminatorValue.ToString()?.ToLowerInvariant(); + return discriminator switch + { + "text" => TextChunk.Load(data, context), + "thinking" => ThinkingChunk.Load(data, context), + "tool" => ToolChunk.Load(data, context), + "error" => ErrorChunk.Load(data, context), + _ => throw new ArgumentException($"Unknown StreamChunk discriminator value: {discriminator}"), + }; + } + + throw new ArgumentException("Missing StreamChunk discriminator property: 'kind'"); + + } + + + #endregion + + #region Save Methods + + /// + /// Save the StreamChunk instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public virtual Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + var result = new Dictionary(); + + + if (obj.Kind is not null) + { + result["kind"] = obj.Kind; + } + + + if (context is not null) + { + result = context.ProcessDict(result); + } + + return result; + } + + + /// + /// Convert the StreamChunk instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the StreamChunk instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a StreamChunk instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded StreamChunk instance. + public static StreamChunk FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a StreamChunk instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded StreamChunk instance. + public static StreamChunk FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/TextChunk.cs b/runtime/csharp/Prompty.Core/Model/TextChunk.cs new file mode 100644 index 00000000..2d555945 --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/TextChunk.cs @@ -0,0 +1,169 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// A text content chunk from the LLM response stream. +/// +public class TextChunk : StreamChunk +{ + /// + /// The shorthand property name for this type, if any. + /// + public new static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public TextChunk() + { + } +#pragma warning restore CS8618 + + /// + /// The kind identifier for text chunks + /// + public override string Kind { get; set; } = "text"; + + /// + /// The text content of the chunk + /// + public string Value { get; set; } = string.Empty; + + + #region Load Methods + + /// + /// Load a TextChunk instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded TextChunk instance. + public new static TextChunk Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new TextChunk(); + + + if (data.TryGetValue("kind", out var kindValue) && kindValue is not null) + { + instance.Kind = kindValue?.ToString()!; + } + + if (data.TryGetValue("value", out var valueValue) && valueValue is not null) + { + instance.Value = valueValue?.ToString()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the TextChunk instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public override Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + // Start with parent class properties + var result = base.Save(context); + + + if (obj.Kind is not null) + { + result["kind"] = obj.Kind; + } + + if (obj.Value is not null) + { + result["value"] = obj.Value; + } + + + return result; + } + + + /// + /// Convert the TextChunk instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public new string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the TextChunk instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public new string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a TextChunk instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded TextChunk instance. + public new static TextChunk FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a TextChunk instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded TextChunk instance. + public new static TextChunk FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/TextPart.cs b/runtime/csharp/Prompty.Core/Model/TextPart.cs new file mode 100644 index 00000000..d3903ddb --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/TextPart.cs @@ -0,0 +1,169 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// A text content part. +/// +public class TextPart : ContentPart +{ + /// + /// The shorthand property name for this type, if any. + /// + public new static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public TextPart() + { + } +#pragma warning restore CS8618 + + /// + /// The kind identifier for text content + /// + public override string Kind { get; set; } = "text"; + + /// + /// The text content + /// + public string Value { get; set; } = string.Empty; + + + #region Load Methods + + /// + /// Load a TextPart instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded TextPart instance. + public new static TextPart Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new TextPart(); + + + if (data.TryGetValue("kind", out var kindValue) && kindValue is not null) + { + instance.Kind = kindValue?.ToString()!; + } + + if (data.TryGetValue("value", out var valueValue) && valueValue is not null) + { + instance.Value = valueValue?.ToString()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the TextPart instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public override Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + // Start with parent class properties + var result = base.Save(context); + + + if (obj.Kind is not null) + { + result["kind"] = obj.Kind; + } + + if (obj.Value is not null) + { + result["value"] = obj.Value; + } + + + return result; + } + + + /// + /// Convert the TextPart instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public new string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the TextPart instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public new string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a TextPart instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded TextPart instance. + public new static TextPart FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a TextPart instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded TextPart instance. + public new static TextPart FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/ThinkingChunk.cs b/runtime/csharp/Prompty.Core/Model/ThinkingChunk.cs new file mode 100644 index 00000000..ed86a2b2 --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/ThinkingChunk.cs @@ -0,0 +1,169 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// A thinking/reasoning content chunk from the LLM response stream. +/// +public class ThinkingChunk : StreamChunk +{ + /// + /// The shorthand property name for this type, if any. + /// + public new static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public ThinkingChunk() + { + } +#pragma warning restore CS8618 + + /// + /// The kind identifier for thinking chunks + /// + public override string Kind { get; set; } = "thinking"; + + /// + /// The thinking content of the chunk + /// + public string Value { get; set; } = string.Empty; + + + #region Load Methods + + /// + /// Load a ThinkingChunk instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded ThinkingChunk instance. + public new static ThinkingChunk Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new ThinkingChunk(); + + + if (data.TryGetValue("kind", out var kindValue) && kindValue is not null) + { + instance.Kind = kindValue?.ToString()!; + } + + if (data.TryGetValue("value", out var valueValue) && valueValue is not null) + { + instance.Value = valueValue?.ToString()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the ThinkingChunk instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public override Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + // Start with parent class properties + var result = base.Save(context); + + + if (obj.Kind is not null) + { + result["kind"] = obj.Kind; + } + + if (obj.Value is not null) + { + result["value"] = obj.Value; + } + + + return result; + } + + + /// + /// Convert the ThinkingChunk instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public new string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the ThinkingChunk instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public new string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a ThinkingChunk instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ThinkingChunk instance. + public new static ThinkingChunk FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a ThinkingChunk instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ThinkingChunk instance. + public new static ThinkingChunk FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/ToolCall.cs b/runtime/csharp/Prompty.Core/Model/ToolCall.cs new file mode 100644 index 00000000..e73393cd --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/ToolCall.cs @@ -0,0 +1,189 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// A tool call requested by the LLM. Contains the function name and serialized +/// arguments that should be dispatched to the appropriate tool handler. +/// +public class ToolCall +{ + /// + /// The shorthand property name for this type, if any. + /// + public static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public ToolCall() + { + } +#pragma warning restore CS8618 + + /// + /// The unique identifier of the tool call + /// + public string Id { get; set; } = string.Empty; + + /// + /// The name of the tool to call + /// + public string Name { get; set; } = string.Empty; + + /// + /// The serialized JSON arguments for the tool call + /// + public string Arguments { get; set; } = string.Empty; + + + #region Load Methods + + /// + /// Load a ToolCall instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded ToolCall instance. + public static ToolCall Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new ToolCall(); + + + if (data.TryGetValue("id", out var idValue) && idValue is not null) + { + instance.Id = idValue?.ToString()!; + } + + if (data.TryGetValue("name", out var nameValue) && nameValue is not null) + { + instance.Name = nameValue?.ToString()!; + } + + if (data.TryGetValue("arguments", out var argumentsValue) && argumentsValue is not null) + { + instance.Arguments = argumentsValue?.ToString()!; + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the ToolCall instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + var result = new Dictionary(); + + + if (obj.Id is not null) + { + result["id"] = obj.Id; + } + + if (obj.Name is not null) + { + result["name"] = obj.Name; + } + + if (obj.Arguments is not null) + { + result["arguments"] = obj.Arguments; + } + + + if (context is not null) + { + result = context.ProcessDict(result); + } + + return result; + } + + + /// + /// Convert the ToolCall instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the ToolCall instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a ToolCall instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ToolCall instance. + public static ToolCall FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a ToolCall instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ToolCall instance. + public static ToolCall FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/ToolChunk.cs b/runtime/csharp/Prompty.Core/Model/ToolChunk.cs new file mode 100644 index 00000000..3a46c593 --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/ToolChunk.cs @@ -0,0 +1,169 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// A tool call chunk from the LLM response stream. +/// +public class ToolChunk : StreamChunk +{ + /// + /// The shorthand property name for this type, if any. + /// + public new static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public ToolChunk() + { + } +#pragma warning restore CS8618 + + /// + /// The kind identifier for tool chunks + /// + public override string Kind { get; set; } = "tool"; + + /// + /// The tool call data + /// + public ToolCall ToolCall { get; set; } + + + #region Load Methods + + /// + /// Load a ToolChunk instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded ToolChunk instance. + public new static ToolChunk Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new ToolChunk(); + + + if (data.TryGetValue("kind", out var kindValue) && kindValue is not null) + { + instance.Kind = kindValue?.ToString()!; + } + + if (data.TryGetValue("toolCall", out var toolCallValue) && toolCallValue is not null) + { + instance.ToolCall = ToolCall.Load(toolCallValue.GetDictionary(ToolCall.ShorthandProperty), context); + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the ToolChunk instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public override Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + // Start with parent class properties + var result = base.Save(context); + + + if (obj.Kind is not null) + { + result["kind"] = obj.Kind; + } + + if (obj.ToolCall is not null) + { + result["toolCall"] = obj.ToolCall?.Save(context); + } + + + return result; + } + + + /// + /// Convert the ToolChunk instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public new string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the ToolChunk instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public new string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a ToolChunk instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ToolChunk instance. + public new static ToolChunk FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a ToolChunk instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ToolChunk instance. + public new static ToolChunk FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/csharp/Prompty.Core/Model/ToolResult.cs b/runtime/csharp/Prompty.Core/Model/ToolResult.cs new file mode 100644 index 00000000..1b90e029 --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/ToolResult.cs @@ -0,0 +1,229 @@ +// Copyright (c) Microsoft. All rights reserved. +using System.Text.Json; +using YamlDotNet.Serialization; + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +/// +/// The result of a tool execution. Contains a list of content parts, enabling +/// rich tool results (text, images, files, audio) rather than just strings. +/// +/// Implementations MUST support conversion from a plain string to a ToolResult +/// containing a single TextPart for backward compatibility. +/// +public class ToolResult +{ + /// + /// The shorthand property name for this type, if any. + /// + public static string? ShorthandProperty => null; + + /// + /// Initializes a new instance of . + /// +#pragma warning disable CS8618 + public ToolResult() + { + } +#pragma warning restore CS8618 + + /// + /// The content parts of the tool result + /// + public IList Parts { get; set; } = []; + + + #region Load Methods + + /// + /// Load a ToolResult instance from a dictionary. + /// + /// The dictionary containing the data. + /// Optional context with pre/post processing callbacks. + /// The loaded ToolResult instance. + public static ToolResult Load(Dictionary data, LoadContext? context = null) + { + if (context is not null) + { + data = context.ProcessInput(data); + } + + + // Create new instance + var instance = new ToolResult(); + + + if (data.TryGetValue("parts", out var partsValue) && partsValue is not null) + { + instance.Parts = LoadParts(partsValue, context); + } + + if (context is not null) + { + instance = context.ProcessOutput(instance); + } + return instance; + } + + + /// + /// Load a list of ContentPart from a dictionary or list. + /// + public static IList LoadParts(object data, LoadContext? context) + { + var result = new List(); + + if (data is Dictionary dict) + { + // Convert named dictionary to list + foreach (var kvp in dict) + { + if (kvp.Value is IEnumerable) + { + throw new ArgumentException( + $"Invalid 'parts' format: key '{kvp.Key}' has an array value. " + + $"'parts' must be a flat list of objects or a name-keyed dict — " + + "not a nested {" + kvp.Key + ": [...]} structure."); + } + var itemDict = kvp.Value.GetDictionary(); + if (itemDict.Count > 0) + { + // Value is an object, add name to it + itemDict["name"] = kvp.Key; + result.Add(ContentPart.Load(itemDict, context)); + } + else + { + // Value is a scalar, use it as the primary property + var newDict = new Dictionary + { + ["name"] = kvp.Key, + [""] = kvp.Value + }; + result.Add(ContentPart.Load(newDict, context)); + } + } + } + else if (data is IEnumerable list) + { + foreach (var item in list) + { + var itemDict = item.GetDictionary(ContentPart.ShorthandProperty); + if (itemDict.Count > 0) + { + result.Add(ContentPart.Load(itemDict, context)); + } + } + } + + return result; + } + + + + #endregion + + #region Save Methods + + /// + /// Save the ToolResult instance to a dictionary. + /// + /// Optional context with pre/post processing callbacks. + /// The dictionary representation of this instance. + public Dictionary Save(SaveContext? context = null) + { + var obj = this; + if (context is not null) + { + obj = context.ProcessObject(obj); + } + + + var result = new Dictionary(); + + + if (obj.Parts is not null) + { + result["parts"] = SaveParts(obj.Parts, context); + } + + + if (context is not null) + { + result = context.ProcessDict(result); + } + + return result; + } + + + /// + /// Save a list of ContentPart to object or array format. + /// + public static object SaveParts(IList items, SaveContext? context) + { + context ??= new SaveContext(); + + // This collection type does not have a 'name' property, only array format is supported + return items.Select(item => item.Save(context)).ToList(); + + } + + + /// + /// Convert the ToolResult instance to a YAML string. + /// + /// Optional context with pre/post processing callbacks. + /// The YAML string representation of this instance. + public string ToYaml(SaveContext? context = null) + { + context ??= new SaveContext(); + return context.ToYaml(Save(context)); + } + + /// + /// Convert the ToolResult instance to a JSON string. + /// + /// Optional context with pre/post processing callbacks. + /// Whether to indent the output. Defaults to true. + /// The JSON string representation of this instance. + public string ToJson(SaveContext? context = null, bool indent = true) + { + context ??= new SaveContext(); + return context.ToJson(Save(context), indent); + } + + /// + /// Load a ToolResult instance from a JSON string. + /// + /// The JSON string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ToolResult instance. + public static ToolResult FromJson(string json, LoadContext? context = null) + { + using var doc = JsonDocument.Parse(json); + Dictionary dict; + dict = JsonSerializer.Deserialize>(json, JsonUtils.Options) + ?? throw new ArgumentException("Failed to parse JSON as dictionary"); + + return Load(dict, context); + } + + /// + /// Load a ToolResult instance from a YAML string. + /// + /// The YAML string to parse. + /// Optional context with pre/post processing callbacks. + /// The loaded ToolResult instance. + public static ToolResult FromYaml(string yaml, LoadContext? context = null) + { + var dict = YamlUtils.Deserializer.Deserialize>(yaml) + ?? throw new ArgumentException("Failed to parse YAML as dictionary"); + + return Load(dict, context); + } + + #endregion +} diff --git a/runtime/go/prompty/model/audio_part_test.go b/runtime/go/prompty/model/audio_part_test.go new file mode 100644 index 00000000..9784231f --- /dev/null +++ b/runtime/go/prompty/model/audio_part_test.go @@ -0,0 +1,154 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestAudioPartLoadJSON tests loading AudioPart from JSON +func TestAudioPartLoadJSON(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadAudioPart(data, ctx) + if err != nil { + t.Fatalf("Failed to load AudioPart: %v", err) + } + if instance.Source != "https://example.com/audio.wav" { + t.Errorf(`Expected Source to be "https://example.com/audio.wav", got %v`, instance.Source) + } + if instance.MediaType == nil || *instance.MediaType != "audio/wav" { + t.Errorf(`Expected MediaType to be "audio/wav", got %v`, instance.MediaType) + } +} + +// TestAudioPartLoadYAML tests loading AudioPart from YAML +func TestAudioPartLoadYAML(t *testing.T) { + yamlData := ` +source: "https://example.com/audio.wav" +mediaType: audio/wav + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadAudioPart(data, ctx) + if err != nil { + t.Fatalf("Failed to load AudioPart: %v", err) + } + if instance.Source != "https://example.com/audio.wav" { + t.Errorf(`Expected Source to be "https://example.com/audio.wav", got %v`, instance.Source) + } + if instance.MediaType == nil || *instance.MediaType != "audio/wav" { + t.Errorf(`Expected MediaType to be "audio/wav", got %v`, instance.MediaType) + } +} + +// TestAudioPartRoundtrip tests load -> save -> load produces equivalent data +func TestAudioPartRoundtrip(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadAudioPart(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load AudioPart: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadAudioPart(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload AudioPart: %v", err) + } + if reloaded.Source != "https://example.com/audio.wav" { + t.Errorf(`Expected Source to be "https://example.com/audio.wav", got %v`, reloaded.Source) + } + if reloaded.MediaType == nil || *reloaded.MediaType != "audio/wav" { + t.Errorf(`Expected MediaType to be "audio/wav", got %v`, reloaded.MediaType) + } +} + +// TestAudioPartToJSON tests that ToJSON produces valid JSON +func TestAudioPartToJSON(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadAudioPart(data, ctx) + if err != nil { + t.Fatalf("Failed to load AudioPart: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestAudioPartToYAML tests that ToYAML produces valid YAML +func TestAudioPartToYAML(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadAudioPart(data, ctx) + if err != nil { + t.Fatalf("Failed to load AudioPart: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/content_part.go b/runtime/go/prompty/model/content_part.go new file mode 100644 index 00000000..45d65e3f --- /dev/null +++ b/runtime/go/prompty/model/content_part.go @@ -0,0 +1,430 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty + +import ( + "encoding/json" + + "gopkg.in/yaml.v3" +) + +// ContentPart represents A part of a message's content. Content parts are discriminated on the `kind` +// field and represent the different modalities that can appear in a message. + +type ContentPart struct { + Kind string `json:"kind" yaml:"kind"` +} + +// LoadContentPart creates a ContentPart from a map[string]interface{} +// Returns interface{} because this is a polymorphic base type that can resolve to different child types +func LoadContentPart(data interface{}, ctx *LoadContext) (interface{}, error) { + result := ContentPart{} + + // Handle polymorphic types based on discriminator + if m, ok := data.(map[string]interface{}); ok { + if discriminator, ok := m["kind"]; ok { + switch discriminator { + case "text": + return LoadTextPart(data, ctx) + case "image": + return LoadImagePart(data, ctx) + case "file": + return LoadFilePart(data, ctx) + case "audio": + return LoadAudioPart(data, ctx) + } + } + } + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["kind"]; ok && val != nil { + result.Kind = val.(string) + } + } + + return result, nil +} + +// Save serializes ContentPart to map[string]interface{} +func (obj *ContentPart) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["kind"] = obj.Kind + + return result +} + +// ToJSON serializes ContentPart to JSON string +func (obj *ContentPart) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes ContentPart to YAML string +func (obj *ContentPart) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates ContentPart from JSON string +// Returns interface{} because this is a polymorphic base type that can resolve to different child types +func ContentPartFromJSON(jsonStr string) (interface{}, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return nil, err + } + ctx := NewLoadContext() + return LoadContentPart(data, ctx) +} + +// FromYAML creates ContentPart from YAML string +// Returns interface{} because this is a polymorphic base type that can resolve to different child types +func ContentPartFromYAML(yamlStr string) (interface{}, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return nil, err + } + ctx := NewLoadContext() + return LoadContentPart(data, ctx) +} + +// TextPart represents A text content part. + +type TextPart struct { + Kind string `json:"kind" yaml:"kind"` + Value string `json:"value" yaml:"value"` +} + +// LoadTextPart creates a TextPart from a map[string]interface{} +func LoadTextPart(data interface{}, ctx *LoadContext) (TextPart, error) { + result := TextPart{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["kind"]; ok && val != nil { + result.Kind = val.(string) + } + if val, ok := m["value"]; ok && val != nil { + result.Value = val.(string) + } + } + + return result, nil +} + +// Save serializes TextPart to map[string]interface{} +func (obj *TextPart) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["kind"] = obj.Kind + result["value"] = obj.Value + + return result +} + +// ToJSON serializes TextPart to JSON string +func (obj *TextPart) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes TextPart to YAML string +func (obj *TextPart) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates TextPart from JSON string +func TextPartFromJSON(jsonStr string) (TextPart, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return TextPart{}, err + } + ctx := NewLoadContext() + return LoadTextPart(data, ctx) +} + +// FromYAML creates TextPart from YAML string +func TextPartFromYAML(yamlStr string) (TextPart, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return TextPart{}, err + } + ctx := NewLoadContext() + return LoadTextPart(data, ctx) +} + +// ImagePart represents An image content part. The source may be a URL or base64-encoded data. + +type ImagePart struct { + Kind string `json:"kind" yaml:"kind"` + Source string `json:"source" yaml:"source"` + Detail *string `json:"detail,omitempty" yaml:"detail,omitempty"` + MediaType *string `json:"mediaType,omitempty" yaml:"mediaType,omitempty"` +} + +// LoadImagePart creates a ImagePart from a map[string]interface{} +func LoadImagePart(data interface{}, ctx *LoadContext) (ImagePart, error) { + result := ImagePart{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["kind"]; ok && val != nil { + result.Kind = val.(string) + } + if val, ok := m["source"]; ok && val != nil { + result.Source = val.(string) + } + if val, ok := m["detail"]; ok && val != nil { + v := val.(string) + result.Detail = &v + } + if val, ok := m["mediaType"]; ok && val != nil { + v := val.(string) + result.MediaType = &v + } + } + + return result, nil +} + +// Save serializes ImagePart to map[string]interface{} +func (obj *ImagePart) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["kind"] = obj.Kind + result["source"] = obj.Source + if obj.Detail != nil { + result["detail"] = *obj.Detail + } + if obj.MediaType != nil { + result["mediaType"] = *obj.MediaType + } + + return result +} + +// ToJSON serializes ImagePart to JSON string +func (obj *ImagePart) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes ImagePart to YAML string +func (obj *ImagePart) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates ImagePart from JSON string +func ImagePartFromJSON(jsonStr string) (ImagePart, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return ImagePart{}, err + } + ctx := NewLoadContext() + return LoadImagePart(data, ctx) +} + +// FromYAML creates ImagePart from YAML string +func ImagePartFromYAML(yamlStr string) (ImagePart, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return ImagePart{}, err + } + ctx := NewLoadContext() + return LoadImagePart(data, ctx) +} + +// FilePart represents A file content part. The source may be a URL or base64-encoded data. + +type FilePart struct { + Kind string `json:"kind" yaml:"kind"` + Source string `json:"source" yaml:"source"` + MediaType *string `json:"mediaType,omitempty" yaml:"mediaType,omitempty"` +} + +// LoadFilePart creates a FilePart from a map[string]interface{} +func LoadFilePart(data interface{}, ctx *LoadContext) (FilePart, error) { + result := FilePart{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["kind"]; ok && val != nil { + result.Kind = val.(string) + } + if val, ok := m["source"]; ok && val != nil { + result.Source = val.(string) + } + if val, ok := m["mediaType"]; ok && val != nil { + v := val.(string) + result.MediaType = &v + } + } + + return result, nil +} + +// Save serializes FilePart to map[string]interface{} +func (obj *FilePart) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["kind"] = obj.Kind + result["source"] = obj.Source + if obj.MediaType != nil { + result["mediaType"] = *obj.MediaType + } + + return result +} + +// ToJSON serializes FilePart to JSON string +func (obj *FilePart) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes FilePart to YAML string +func (obj *FilePart) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates FilePart from JSON string +func FilePartFromJSON(jsonStr string) (FilePart, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return FilePart{}, err + } + ctx := NewLoadContext() + return LoadFilePart(data, ctx) +} + +// FromYAML creates FilePart from YAML string +func FilePartFromYAML(yamlStr string) (FilePart, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return FilePart{}, err + } + ctx := NewLoadContext() + return LoadFilePart(data, ctx) +} + +// AudioPart represents An audio content part. The source may be a URL or base64-encoded data. + +type AudioPart struct { + Kind string `json:"kind" yaml:"kind"` + Source string `json:"source" yaml:"source"` + MediaType *string `json:"mediaType,omitempty" yaml:"mediaType,omitempty"` +} + +// LoadAudioPart creates a AudioPart from a map[string]interface{} +func LoadAudioPart(data interface{}, ctx *LoadContext) (AudioPart, error) { + result := AudioPart{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["kind"]; ok && val != nil { + result.Kind = val.(string) + } + if val, ok := m["source"]; ok && val != nil { + result.Source = val.(string) + } + if val, ok := m["mediaType"]; ok && val != nil { + v := val.(string) + result.MediaType = &v + } + } + + return result, nil +} + +// Save serializes AudioPart to map[string]interface{} +func (obj *AudioPart) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["kind"] = obj.Kind + result["source"] = obj.Source + if obj.MediaType != nil { + result["mediaType"] = *obj.MediaType + } + + return result +} + +// ToJSON serializes AudioPart to JSON string +func (obj *AudioPart) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes AudioPart to YAML string +func (obj *AudioPart) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates AudioPart from JSON string +func AudioPartFromJSON(jsonStr string) (AudioPart, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return AudioPart{}, err + } + ctx := NewLoadContext() + return LoadAudioPart(data, ctx) +} + +// FromYAML creates AudioPart from YAML string +func AudioPartFromYAML(yamlStr string) (AudioPart, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return AudioPart{}, err + } + ctx := NewLoadContext() + return LoadAudioPart(data, ctx) +} diff --git a/runtime/go/prompty/model/content_part_test.go b/runtime/go/prompty/model/content_part_test.go new file mode 100644 index 00000000..8f595d20 --- /dev/null +++ b/runtime/go/prompty/model/content_part_test.go @@ -0,0 +1,12 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) diff --git a/runtime/go/prompty/model/error_chunk_test.go b/runtime/go/prompty/model/error_chunk_test.go new file mode 100644 index 00000000..bd103cb4 --- /dev/null +++ b/runtime/go/prompty/model/error_chunk_test.go @@ -0,0 +1,140 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestErrorChunkLoadJSON tests loading ErrorChunk from JSON +func TestErrorChunkLoadJSON(t *testing.T) { + jsonData := ` +{ + "message": "Rate limit exceeded" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadErrorChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ErrorChunk: %v", err) + } + if instance.Message != "Rate limit exceeded" { + t.Errorf(`Expected Message to be "Rate limit exceeded", got %v`, instance.Message) + } +} + +// TestErrorChunkLoadYAML tests loading ErrorChunk from YAML +func TestErrorChunkLoadYAML(t *testing.T) { + yamlData := ` +message: Rate limit exceeded + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadErrorChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ErrorChunk: %v", err) + } + if instance.Message != "Rate limit exceeded" { + t.Errorf(`Expected Message to be "Rate limit exceeded", got %v`, instance.Message) + } +} + +// TestErrorChunkRoundtrip tests load -> save -> load produces equivalent data +func TestErrorChunkRoundtrip(t *testing.T) { + jsonData := ` +{ + "message": "Rate limit exceeded" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadErrorChunk(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load ErrorChunk: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadErrorChunk(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload ErrorChunk: %v", err) + } + if reloaded.Message != "Rate limit exceeded" { + t.Errorf(`Expected Message to be "Rate limit exceeded", got %v`, reloaded.Message) + } +} + +// TestErrorChunkToJSON tests that ToJSON produces valid JSON +func TestErrorChunkToJSON(t *testing.T) { + jsonData := ` +{ + "message": "Rate limit exceeded" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadErrorChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ErrorChunk: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestErrorChunkToYAML tests that ToYAML produces valid YAML +func TestErrorChunkToYAML(t *testing.T) { + jsonData := ` +{ + "message": "Rate limit exceeded" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadErrorChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ErrorChunk: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/file_part_test.go b/runtime/go/prompty/model/file_part_test.go new file mode 100644 index 00000000..9499cc94 --- /dev/null +++ b/runtime/go/prompty/model/file_part_test.go @@ -0,0 +1,154 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestFilePartLoadJSON tests loading FilePart from JSON +func TestFilePartLoadJSON(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadFilePart(data, ctx) + if err != nil { + t.Fatalf("Failed to load FilePart: %v", err) + } + if instance.Source != "https://example.com/document.pdf" { + t.Errorf(`Expected Source to be "https://example.com/document.pdf", got %v`, instance.Source) + } + if instance.MediaType == nil || *instance.MediaType != "application/pdf" { + t.Errorf(`Expected MediaType to be "application/pdf", got %v`, instance.MediaType) + } +} + +// TestFilePartLoadYAML tests loading FilePart from YAML +func TestFilePartLoadYAML(t *testing.T) { + yamlData := ` +source: "https://example.com/document.pdf" +mediaType: application/pdf + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadFilePart(data, ctx) + if err != nil { + t.Fatalf("Failed to load FilePart: %v", err) + } + if instance.Source != "https://example.com/document.pdf" { + t.Errorf(`Expected Source to be "https://example.com/document.pdf", got %v`, instance.Source) + } + if instance.MediaType == nil || *instance.MediaType != "application/pdf" { + t.Errorf(`Expected MediaType to be "application/pdf", got %v`, instance.MediaType) + } +} + +// TestFilePartRoundtrip tests load -> save -> load produces equivalent data +func TestFilePartRoundtrip(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadFilePart(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load FilePart: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadFilePart(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload FilePart: %v", err) + } + if reloaded.Source != "https://example.com/document.pdf" { + t.Errorf(`Expected Source to be "https://example.com/document.pdf", got %v`, reloaded.Source) + } + if reloaded.MediaType == nil || *reloaded.MediaType != "application/pdf" { + t.Errorf(`Expected MediaType to be "application/pdf", got %v`, reloaded.MediaType) + } +} + +// TestFilePartToJSON tests that ToJSON produces valid JSON +func TestFilePartToJSON(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadFilePart(data, ctx) + if err != nil { + t.Fatalf("Failed to load FilePart: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestFilePartToYAML tests that ToYAML produces valid YAML +func TestFilePartToYAML(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadFilePart(data, ctx) + if err != nil { + t.Fatalf("Failed to load FilePart: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/guardrail_result.go b/runtime/go/prompty/model/guardrail_result.go new file mode 100644 index 00000000..db1dd690 --- /dev/null +++ b/runtime/go/prompty/model/guardrail_result.go @@ -0,0 +1,96 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty + +import ( + "encoding/json" + + "gopkg.in/yaml.v3" +) + +// GuardrailResult represents The result of a guardrail evaluation. Guardrails are safety checks that +// run at specific phases of the agent loop and can allow, deny, or rewrite +// content. + +type GuardrailResult struct { + Allowed bool `json:"allowed" yaml:"allowed"` + Reason *string `json:"reason,omitempty" yaml:"reason,omitempty"` + Rewrite *interface{} `json:"rewrite,omitempty" yaml:"rewrite,omitempty"` +} + +// LoadGuardrailResult creates a GuardrailResult from a map[string]interface{} +func LoadGuardrailResult(data interface{}, ctx *LoadContext) (GuardrailResult, error) { + result := GuardrailResult{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["allowed"]; ok && val != nil { + result.Allowed = val.(bool) + } + if val, ok := m["reason"]; ok && val != nil { + v := val.(string) + result.Reason = &v + } + if val, ok := m["rewrite"]; ok && val != nil { + result.Rewrite = &val + } + } + + return result, nil +} + +// Save serializes GuardrailResult to map[string]interface{} +func (obj *GuardrailResult) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["allowed"] = obj.Allowed + if obj.Reason != nil { + result["reason"] = *obj.Reason + } + if obj.Rewrite != nil { + result["rewrite"] = *obj.Rewrite + } + + return result +} + +// ToJSON serializes GuardrailResult to JSON string +func (obj *GuardrailResult) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes GuardrailResult to YAML string +func (obj *GuardrailResult) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates GuardrailResult from JSON string +func GuardrailResultFromJSON(jsonStr string) (GuardrailResult, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return GuardrailResult{}, err + } + ctx := NewLoadContext() + return LoadGuardrailResult(data, ctx) +} + +// FromYAML creates GuardrailResult from YAML string +func GuardrailResultFromYAML(yamlStr string) (GuardrailResult, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return GuardrailResult{}, err + } + ctx := NewLoadContext() + return LoadGuardrailResult(data, ctx) +} diff --git a/runtime/go/prompty/model/guardrail_result_test.go b/runtime/go/prompty/model/guardrail_result_test.go new file mode 100644 index 00000000..8ea06fbf --- /dev/null +++ b/runtime/go/prompty/model/guardrail_result_test.go @@ -0,0 +1,154 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestGuardrailResultLoadJSON tests loading GuardrailResult from JSON +func TestGuardrailResultLoadJSON(t *testing.T) { + jsonData := ` +{ + "allowed": true, + "reason": "Content is safe" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadGuardrailResult(data, ctx) + if err != nil { + t.Fatalf("Failed to load GuardrailResult: %v", err) + } + if instance.Allowed != true { + t.Errorf(`Expected Allowed to be true, got %v`, instance.Allowed) + } + if instance.Reason == nil || *instance.Reason != "Content is safe" { + t.Errorf(`Expected Reason to be "Content is safe", got %v`, instance.Reason) + } +} + +// TestGuardrailResultLoadYAML tests loading GuardrailResult from YAML +func TestGuardrailResultLoadYAML(t *testing.T) { + yamlData := ` +allowed: true +reason: Content is safe + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadGuardrailResult(data, ctx) + if err != nil { + t.Fatalf("Failed to load GuardrailResult: %v", err) + } + if instance.Allowed != true { + t.Errorf(`Expected Allowed to be true, got %v`, instance.Allowed) + } + if instance.Reason == nil || *instance.Reason != "Content is safe" { + t.Errorf(`Expected Reason to be "Content is safe", got %v`, instance.Reason) + } +} + +// TestGuardrailResultRoundtrip tests load -> save -> load produces equivalent data +func TestGuardrailResultRoundtrip(t *testing.T) { + jsonData := ` +{ + "allowed": true, + "reason": "Content is safe" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadGuardrailResult(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load GuardrailResult: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadGuardrailResult(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload GuardrailResult: %v", err) + } + if reloaded.Allowed != true { + t.Errorf(`Expected Allowed to be true, got %v`, reloaded.Allowed) + } + if reloaded.Reason == nil || *reloaded.Reason != "Content is safe" { + t.Errorf(`Expected Reason to be "Content is safe", got %v`, reloaded.Reason) + } +} + +// TestGuardrailResultToJSON tests that ToJSON produces valid JSON +func TestGuardrailResultToJSON(t *testing.T) { + jsonData := ` +{ + "allowed": true, + "reason": "Content is safe" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadGuardrailResult(data, ctx) + if err != nil { + t.Fatalf("Failed to load GuardrailResult: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestGuardrailResultToYAML tests that ToYAML produces valid YAML +func TestGuardrailResultToYAML(t *testing.T) { + jsonData := ` +{ + "allowed": true, + "reason": "Content is safe" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadGuardrailResult(data, ctx) + if err != nil { + t.Fatalf("Failed to load GuardrailResult: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/image_part_test.go b/runtime/go/prompty/model/image_part_test.go new file mode 100644 index 00000000..a588a2cf --- /dev/null +++ b/runtime/go/prompty/model/image_part_test.go @@ -0,0 +1,168 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestImagePartLoadJSON tests loading ImagePart from JSON +func TestImagePartLoadJSON(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadImagePart(data, ctx) + if err != nil { + t.Fatalf("Failed to load ImagePart: %v", err) + } + if instance.Source != "https://example.com/image.png" { + t.Errorf(`Expected Source to be "https://example.com/image.png", got %v`, instance.Source) + } + if instance.Detail == nil || *instance.Detail != "auto" { + t.Errorf(`Expected Detail to be "auto", got %v`, instance.Detail) + } + if instance.MediaType == nil || *instance.MediaType != "image/png" { + t.Errorf(`Expected MediaType to be "image/png", got %v`, instance.MediaType) + } +} + +// TestImagePartLoadYAML tests loading ImagePart from YAML +func TestImagePartLoadYAML(t *testing.T) { + yamlData := ` +source: "https://example.com/image.png" +detail: auto +mediaType: image/png + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadImagePart(data, ctx) + if err != nil { + t.Fatalf("Failed to load ImagePart: %v", err) + } + if instance.Source != "https://example.com/image.png" { + t.Errorf(`Expected Source to be "https://example.com/image.png", got %v`, instance.Source) + } + if instance.Detail == nil || *instance.Detail != "auto" { + t.Errorf(`Expected Detail to be "auto", got %v`, instance.Detail) + } + if instance.MediaType == nil || *instance.MediaType != "image/png" { + t.Errorf(`Expected MediaType to be "image/png", got %v`, instance.MediaType) + } +} + +// TestImagePartRoundtrip tests load -> save -> load produces equivalent data +func TestImagePartRoundtrip(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadImagePart(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load ImagePart: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadImagePart(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload ImagePart: %v", err) + } + if reloaded.Source != "https://example.com/image.png" { + t.Errorf(`Expected Source to be "https://example.com/image.png", got %v`, reloaded.Source) + } + if reloaded.Detail == nil || *reloaded.Detail != "auto" { + t.Errorf(`Expected Detail to be "auto", got %v`, reloaded.Detail) + } + if reloaded.MediaType == nil || *reloaded.MediaType != "image/png" { + t.Errorf(`Expected MediaType to be "image/png", got %v`, reloaded.MediaType) + } +} + +// TestImagePartToJSON tests that ToJSON produces valid JSON +func TestImagePartToJSON(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadImagePart(data, ctx) + if err != nil { + t.Fatalf("Failed to load ImagePart: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestImagePartToYAML tests that ToYAML produces valid YAML +func TestImagePartToYAML(t *testing.T) { + jsonData := ` +{ + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadImagePart(data, ctx) + if err != nil { + t.Fatalf("Failed to load ImagePart: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/message.go b/runtime/go/prompty/model/message.go new file mode 100644 index 00000000..7640c392 --- /dev/null +++ b/runtime/go/prompty/model/message.go @@ -0,0 +1,117 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty + +import ( + "encoding/json" + + "gopkg.in/yaml.v3" +) + +// Message represents A message in a conversation. Messages have a role and a list of content parts +// representing the different modalities of the message content. + +type Message struct { + Role string `json:"role" yaml:"role"` + Parts []interface{} `json:"parts" yaml:"parts"` + Metadata map[string]interface{} `json:"metadata,omitempty" yaml:"metadata,omitempty"` +} + +// LoadMessage creates a Message from a map[string]interface{} +func LoadMessage(data interface{}, ctx *LoadContext) (Message, error) { + result := Message{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["role"]; ok && val != nil { + result.Role = val.(string) + } + if val, ok := m["parts"]; ok && val != nil { + if arr, ok := val.([]interface{}); ok { + result.Parts = make([]interface{}, len(arr)) + for i, v := range arr { + if item, ok := v.(map[string]interface{}); ok { + loaded, _ := LoadContentPart(item, ctx) + // Polymorphic type - store as interface{} + result.Parts[i] = loaded + } + } + } + } + if val, ok := m["metadata"]; ok && val != nil { + if m, ok := val.(map[string]interface{}); ok { + result.Metadata = m + } + } + } + + return result, nil +} + +// Save serializes Message to map[string]interface{} +func (obj *Message) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["role"] = obj.Role + if obj.Parts != nil { + arr := make([]interface{}, len(obj.Parts)) + for i, item := range obj.Parts { + // Handle polymorphic type via type switch + switch v := item.(type) { + case interface { + Save(*SaveContext) map[string]interface{} + }: + arr[i] = v.Save(ctx) + default: + arr[i] = item + } + } + result["parts"] = arr + } + if obj.Metadata != nil { + result["metadata"] = obj.Metadata + } + + return result +} + +// ToJSON serializes Message to JSON string +func (obj *Message) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes Message to YAML string +func (obj *Message) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates Message from JSON string +func MessageFromJSON(jsonStr string) (Message, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return Message{}, err + } + ctx := NewLoadContext() + return LoadMessage(data, ctx) +} + +// FromYAML creates Message from YAML string +func MessageFromYAML(yamlStr string) (Message, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return Message{}, err + } + ctx := NewLoadContext() + return LoadMessage(data, ctx) +} diff --git a/runtime/go/prompty/model/message_test.go b/runtime/go/prompty/model/message_test.go new file mode 100644 index 00000000..ec8e8743 --- /dev/null +++ b/runtime/go/prompty/model/message_test.go @@ -0,0 +1,181 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestMessageLoadJSON tests loading Message from JSON +func TestMessageLoadJSON(t *testing.T) { + jsonData := ` +{ + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadMessage(data, ctx) + if err != nil { + t.Fatalf("Failed to load Message: %v", err) + } + if instance.Role != "user" { + t.Errorf(`Expected Role to be "user", got %v`, instance.Role) + } +} + +// TestMessageLoadYAML tests loading Message from YAML +func TestMessageLoadYAML(t *testing.T) { + yamlData := ` +role: user +parts: + - kind: text + value: Hello! +metadata: + source: user-input + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadMessage(data, ctx) + if err != nil { + t.Fatalf("Failed to load Message: %v", err) + } + if instance.Role != "user" { + t.Errorf(`Expected Role to be "user", got %v`, instance.Role) + } +} + +// TestMessageRoundtrip tests load -> save -> load produces equivalent data +func TestMessageRoundtrip(t *testing.T) { + jsonData := ` +{ + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadMessage(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load Message: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadMessage(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload Message: %v", err) + } + if reloaded.Role != "user" { + t.Errorf(`Expected Role to be "user", got %v`, reloaded.Role) + } +} + +// TestMessageToJSON tests that ToJSON produces valid JSON +func TestMessageToJSON(t *testing.T) { + jsonData := ` +{ + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadMessage(data, ctx) + if err != nil { + t.Fatalf("Failed to load Message: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestMessageToYAML tests that ToYAML produces valid YAML +func TestMessageToYAML(t *testing.T) { + jsonData := ` +{ + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadMessage(data, ctx) + if err != nil { + t.Fatalf("Failed to load Message: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/model_info.go b/runtime/go/prompty/model/model_info.go new file mode 100644 index 00000000..917a4990 --- /dev/null +++ b/runtime/go/prompty/model/model_info.go @@ -0,0 +1,147 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty + +import ( + "encoding/json" + + "gopkg.in/yaml.v3" +) + +// ModelInfo represents Information about a model available from a provider. Used by provider-level +// model discovery to report which models are available and their capabilities. +// +// Not all providers return all fields — implementations SHOULD populate as +// many fields as the provider's API supports and MAY enrich sparse results +// from a built-in lookup table of known models. + +type ModelInfo struct { + Id string `json:"id" yaml:"id"` + DisplayName *string `json:"displayName,omitempty" yaml:"displayName,omitempty"` + OwnedBy *string `json:"ownedBy,omitempty" yaml:"ownedBy,omitempty"` + ContextWindow *int32 `json:"contextWindow,omitempty" yaml:"contextWindow,omitempty"` + InputModalities []string `json:"inputModalities,omitempty" yaml:"inputModalities,omitempty"` + OutputModalities []string `json:"outputModalities,omitempty" yaml:"outputModalities,omitempty"` + AdditionalProperties map[string]interface{} `json:"additionalProperties,omitempty" yaml:"additionalProperties,omitempty"` +} + +// LoadModelInfo creates a ModelInfo from a map[string]interface{} +func LoadModelInfo(data interface{}, ctx *LoadContext) (ModelInfo, error) { + result := ModelInfo{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["id"]; ok && val != nil { + result.Id = val.(string) + } + if val, ok := m["displayName"]; ok && val != nil { + v := val.(string) + result.DisplayName = &v + } + if val, ok := m["ownedBy"]; ok && val != nil { + v := val.(string) + result.OwnedBy = &v + } + if val, ok := m["contextWindow"]; ok && val != nil { // Handle various numeric types from JSON/YAML/roundtrip + var v int32 + switch n := val.(type) { + case int: + v = int32(n) + case int32: + v = int32(n) + case int64: + v = int32(n) + case float64: + v = int32(n) + } + result.ContextWindow = &v + } + if val, ok := m["inputModalities"]; ok && val != nil { + if arr, ok := val.([]interface{}); ok { + result.InputModalities = make([]string, len(arr)) + for i, v := range arr { + result.InputModalities[i] = v.(string) + } + } + } + if val, ok := m["outputModalities"]; ok && val != nil { + if arr, ok := val.([]interface{}); ok { + result.OutputModalities = make([]string, len(arr)) + for i, v := range arr { + result.OutputModalities[i] = v.(string) + } + } + } + if val, ok := m["additionalProperties"]; ok && val != nil { + if m, ok := val.(map[string]interface{}); ok { + result.AdditionalProperties = m + } + } + } + + return result, nil +} + +// Save serializes ModelInfo to map[string]interface{} +func (obj *ModelInfo) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["id"] = obj.Id + if obj.DisplayName != nil { + result["displayName"] = *obj.DisplayName + } + if obj.OwnedBy != nil { + result["ownedBy"] = *obj.OwnedBy + } + if obj.ContextWindow != nil { + result["contextWindow"] = *obj.ContextWindow + } + result["inputModalities"] = obj.InputModalities + result["outputModalities"] = obj.OutputModalities + if obj.AdditionalProperties != nil { + result["additionalProperties"] = obj.AdditionalProperties + } + + return result +} + +// ToJSON serializes ModelInfo to JSON string +func (obj *ModelInfo) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes ModelInfo to YAML string +func (obj *ModelInfo) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates ModelInfo from JSON string +func ModelInfoFromJSON(jsonStr string) (ModelInfo, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return ModelInfo{}, err + } + ctx := NewLoadContext() + return LoadModelInfo(data, ctx) +} + +// FromYAML creates ModelInfo from YAML string +func ModelInfoFromYAML(yamlStr string) (ModelInfo, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return ModelInfo{}, err + } + ctx := NewLoadContext() + return LoadModelInfo(data, ctx) +} diff --git a/runtime/go/prompty/model/model_info_test.go b/runtime/go/prompty/model/model_info_test.go new file mode 100644 index 00000000..57f13b5c --- /dev/null +++ b/runtime/go/prompty/model/model_info_test.go @@ -0,0 +1,229 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestModelInfoLoadJSON tests loading ModelInfo from JSON +func TestModelInfoLoadJSON(t *testing.T) { + jsonData := ` +{ + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadModelInfo(data, ctx) + if err != nil { + t.Fatalf("Failed to load ModelInfo: %v", err) + } + if instance.Id != "gpt-4o" { + t.Errorf(`Expected Id to be "gpt-4o", got %v`, instance.Id) + } + if instance.DisplayName == nil || *instance.DisplayName != "GPT-4o" { + t.Errorf(`Expected DisplayName to be "GPT-4o", got %v`, instance.DisplayName) + } + if instance.OwnedBy == nil || *instance.OwnedBy != "openai" { + t.Errorf(`Expected OwnedBy to be "openai", got %v`, instance.OwnedBy) + } + if instance.ContextWindow == nil || *instance.ContextWindow != 128000 { + t.Errorf(`Expected ContextWindow to be 128000, got %v`, instance.ContextWindow) + } +} + +// TestModelInfoLoadYAML tests loading ModelInfo from YAML +func TestModelInfoLoadYAML(t *testing.T) { + yamlData := ` +id: gpt-4o +displayName: GPT-4o +ownedBy: openai +contextWindow: 128000 +inputModalities: + - text + - image +outputModalities: + - text +additionalProperties: + supportsStreaming: true + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadModelInfo(data, ctx) + if err != nil { + t.Fatalf("Failed to load ModelInfo: %v", err) + } + if instance.Id != "gpt-4o" { + t.Errorf(`Expected Id to be "gpt-4o", got %v`, instance.Id) + } + if instance.DisplayName == nil || *instance.DisplayName != "GPT-4o" { + t.Errorf(`Expected DisplayName to be "GPT-4o", got %v`, instance.DisplayName) + } + if instance.OwnedBy == nil || *instance.OwnedBy != "openai" { + t.Errorf(`Expected OwnedBy to be "openai", got %v`, instance.OwnedBy) + } + if instance.ContextWindow == nil || *instance.ContextWindow != 128000 { + t.Errorf(`Expected ContextWindow to be 128000, got %v`, instance.ContextWindow) + } +} + +// TestModelInfoRoundtrip tests load -> save -> load produces equivalent data +func TestModelInfoRoundtrip(t *testing.T) { + jsonData := ` +{ + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadModelInfo(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load ModelInfo: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadModelInfo(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload ModelInfo: %v", err) + } + if reloaded.Id != "gpt-4o" { + t.Errorf(`Expected Id to be "gpt-4o", got %v`, reloaded.Id) + } + if reloaded.DisplayName == nil || *reloaded.DisplayName != "GPT-4o" { + t.Errorf(`Expected DisplayName to be "GPT-4o", got %v`, reloaded.DisplayName) + } + if reloaded.OwnedBy == nil || *reloaded.OwnedBy != "openai" { + t.Errorf(`Expected OwnedBy to be "openai", got %v`, reloaded.OwnedBy) + } + if reloaded.ContextWindow == nil || *reloaded.ContextWindow != 128000 { + t.Errorf(`Expected ContextWindow to be 128000, got %v`, reloaded.ContextWindow) + } +} + +// TestModelInfoToJSON tests that ToJSON produces valid JSON +func TestModelInfoToJSON(t *testing.T) { + jsonData := ` +{ + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadModelInfo(data, ctx) + if err != nil { + t.Fatalf("Failed to load ModelInfo: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestModelInfoToYAML tests that ToYAML produces valid YAML +func TestModelInfoToYAML(t *testing.T) { + jsonData := ` +{ + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadModelInfo(data, ctx) + if err != nil { + t.Fatalf("Failed to load ModelInfo: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/prompty_tool_test.go b/runtime/go/prompty/model/prompty_tool_test.go index 880a7efe..20e97f46 100644 --- a/runtime/go/prompty/model/prompty_tool_test.go +++ b/runtime/go/prompty/model/prompty_tool_test.go @@ -16,8 +16,7 @@ func TestPromptyToolLoadJSON(t *testing.T) { jsonData := ` { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } ` var data map[string]interface{} @@ -36,9 +35,6 @@ func TestPromptyToolLoadJSON(t *testing.T) { if instance.Path != "./summarize.prompty" { t.Errorf(`Expected Path to be "./summarize.prompty", got %v`, instance.Path) } - if instance.Mode != "single" { - t.Errorf(`Expected Mode to be "single", got %v`, instance.Mode) - } } // TestPromptyToolLoadYAML tests loading PromptyTool from YAML @@ -46,7 +42,6 @@ func TestPromptyToolLoadYAML(t *testing.T) { yamlData := ` kind: prompty path: ./summarize.prompty -mode: single ` var data map[string]interface{} @@ -65,9 +60,6 @@ mode: single if instance.Path != "./summarize.prompty" { t.Errorf(`Expected Path to be "./summarize.prompty", got %v`, instance.Path) } - if instance.Mode != "single" { - t.Errorf(`Expected Mode to be "single", got %v`, instance.Mode) - } } // TestPromptyToolRoundtrip tests load -> save -> load produces equivalent data @@ -75,8 +67,7 @@ func TestPromptyToolRoundtrip(t *testing.T) { jsonData := ` { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } ` var data map[string]interface{} @@ -102,9 +93,6 @@ func TestPromptyToolRoundtrip(t *testing.T) { if reloaded.Path != "./summarize.prompty" { t.Errorf(`Expected Path to be "./summarize.prompty", got %v`, reloaded.Path) } - if reloaded.Mode != "single" { - t.Errorf(`Expected Mode to be "single", got %v`, reloaded.Mode) - } } // TestPromptyToolToJSON tests that ToJSON produces valid JSON @@ -112,8 +100,7 @@ func TestPromptyToolToJSON(t *testing.T) { jsonData := ` { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } ` var data map[string]interface{} @@ -142,8 +129,7 @@ func TestPromptyToolToYAML(t *testing.T) { jsonData := ` { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } ` var data map[string]interface{} diff --git a/runtime/go/prompty/model/stream_chunk.go b/runtime/go/prompty/model/stream_chunk.go new file mode 100644 index 00000000..a881c2c4 --- /dev/null +++ b/runtime/go/prompty/model/stream_chunk.go @@ -0,0 +1,402 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty + +import ( + "encoding/json" + + "gopkg.in/yaml.v3" +) + +// StreamChunk represents A chunk of data from a streaming LLM response. Stream chunks are +// discriminated on the `kind` field. + +type StreamChunk struct { + Kind string `json:"kind" yaml:"kind"` +} + +// LoadStreamChunk creates a StreamChunk from a map[string]interface{} +// Returns interface{} because this is a polymorphic base type that can resolve to different child types +func LoadStreamChunk(data interface{}, ctx *LoadContext) (interface{}, error) { + result := StreamChunk{} + + // Handle polymorphic types based on discriminator + if m, ok := data.(map[string]interface{}); ok { + if discriminator, ok := m["kind"]; ok { + switch discriminator { + case "text": + return LoadTextChunk(data, ctx) + case "thinking": + return LoadThinkingChunk(data, ctx) + case "tool": + return LoadToolChunk(data, ctx) + case "error": + return LoadErrorChunk(data, ctx) + } + } + } + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["kind"]; ok && val != nil { + result.Kind = val.(string) + } + } + + return result, nil +} + +// Save serializes StreamChunk to map[string]interface{} +func (obj *StreamChunk) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["kind"] = obj.Kind + + return result +} + +// ToJSON serializes StreamChunk to JSON string +func (obj *StreamChunk) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes StreamChunk to YAML string +func (obj *StreamChunk) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates StreamChunk from JSON string +// Returns interface{} because this is a polymorphic base type that can resolve to different child types +func StreamChunkFromJSON(jsonStr string) (interface{}, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return nil, err + } + ctx := NewLoadContext() + return LoadStreamChunk(data, ctx) +} + +// FromYAML creates StreamChunk from YAML string +// Returns interface{} because this is a polymorphic base type that can resolve to different child types +func StreamChunkFromYAML(yamlStr string) (interface{}, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return nil, err + } + ctx := NewLoadContext() + return LoadStreamChunk(data, ctx) +} + +// TextChunk represents A text content chunk from the LLM response stream. + +type TextChunk struct { + Kind string `json:"kind" yaml:"kind"` + Value string `json:"value" yaml:"value"` +} + +// LoadTextChunk creates a TextChunk from a map[string]interface{} +func LoadTextChunk(data interface{}, ctx *LoadContext) (TextChunk, error) { + result := TextChunk{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["kind"]; ok && val != nil { + result.Kind = val.(string) + } + if val, ok := m["value"]; ok && val != nil { + result.Value = val.(string) + } + } + + return result, nil +} + +// Save serializes TextChunk to map[string]interface{} +func (obj *TextChunk) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["kind"] = obj.Kind + result["value"] = obj.Value + + return result +} + +// ToJSON serializes TextChunk to JSON string +func (obj *TextChunk) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes TextChunk to YAML string +func (obj *TextChunk) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates TextChunk from JSON string +func TextChunkFromJSON(jsonStr string) (TextChunk, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return TextChunk{}, err + } + ctx := NewLoadContext() + return LoadTextChunk(data, ctx) +} + +// FromYAML creates TextChunk from YAML string +func TextChunkFromYAML(yamlStr string) (TextChunk, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return TextChunk{}, err + } + ctx := NewLoadContext() + return LoadTextChunk(data, ctx) +} + +// ThinkingChunk represents A thinking/reasoning content chunk from the LLM response stream. + +type ThinkingChunk struct { + Kind string `json:"kind" yaml:"kind"` + Value string `json:"value" yaml:"value"` +} + +// LoadThinkingChunk creates a ThinkingChunk from a map[string]interface{} +func LoadThinkingChunk(data interface{}, ctx *LoadContext) (ThinkingChunk, error) { + result := ThinkingChunk{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["kind"]; ok && val != nil { + result.Kind = val.(string) + } + if val, ok := m["value"]; ok && val != nil { + result.Value = val.(string) + } + } + + return result, nil +} + +// Save serializes ThinkingChunk to map[string]interface{} +func (obj *ThinkingChunk) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["kind"] = obj.Kind + result["value"] = obj.Value + + return result +} + +// ToJSON serializes ThinkingChunk to JSON string +func (obj *ThinkingChunk) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes ThinkingChunk to YAML string +func (obj *ThinkingChunk) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates ThinkingChunk from JSON string +func ThinkingChunkFromJSON(jsonStr string) (ThinkingChunk, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return ThinkingChunk{}, err + } + ctx := NewLoadContext() + return LoadThinkingChunk(data, ctx) +} + +// FromYAML creates ThinkingChunk from YAML string +func ThinkingChunkFromYAML(yamlStr string) (ThinkingChunk, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return ThinkingChunk{}, err + } + ctx := NewLoadContext() + return LoadThinkingChunk(data, ctx) +} + +// ToolChunk represents A tool call chunk from the LLM response stream. + +type ToolChunk struct { + Kind string `json:"kind" yaml:"kind"` + ToolCall ToolCall `json:"toolCall" yaml:"toolCall"` +} + +// LoadToolChunk creates a ToolChunk from a map[string]interface{} +func LoadToolChunk(data interface{}, ctx *LoadContext) (ToolChunk, error) { + result := ToolChunk{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["kind"]; ok && val != nil { + result.Kind = val.(string) + } + if val, ok := m["toolCall"]; ok && val != nil { + if m, ok := val.(map[string]interface{}); ok { + loaded, _ := LoadToolCall(m, ctx) + result.ToolCall = loaded + } + } + } + + return result, nil +} + +// Save serializes ToolChunk to map[string]interface{} +func (obj *ToolChunk) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["kind"] = obj.Kind + + result["toolCall"] = obj.ToolCall.Save(ctx) + + return result +} + +// ToJSON serializes ToolChunk to JSON string +func (obj *ToolChunk) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes ToolChunk to YAML string +func (obj *ToolChunk) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates ToolChunk from JSON string +func ToolChunkFromJSON(jsonStr string) (ToolChunk, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return ToolChunk{}, err + } + ctx := NewLoadContext() + return LoadToolChunk(data, ctx) +} + +// FromYAML creates ToolChunk from YAML string +func ToolChunkFromYAML(yamlStr string) (ToolChunk, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return ToolChunk{}, err + } + ctx := NewLoadContext() + return LoadToolChunk(data, ctx) +} + +// ErrorChunk represents An error chunk from the LLM response stream. + +type ErrorChunk struct { + Kind string `json:"kind" yaml:"kind"` + Message string `json:"message" yaml:"message"` +} + +// LoadErrorChunk creates a ErrorChunk from a map[string]interface{} +func LoadErrorChunk(data interface{}, ctx *LoadContext) (ErrorChunk, error) { + result := ErrorChunk{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["kind"]; ok && val != nil { + result.Kind = val.(string) + } + if val, ok := m["message"]; ok && val != nil { + result.Message = val.(string) + } + } + + return result, nil +} + +// Save serializes ErrorChunk to map[string]interface{} +func (obj *ErrorChunk) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["kind"] = obj.Kind + result["message"] = obj.Message + + return result +} + +// ToJSON serializes ErrorChunk to JSON string +func (obj *ErrorChunk) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes ErrorChunk to YAML string +func (obj *ErrorChunk) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates ErrorChunk from JSON string +func ErrorChunkFromJSON(jsonStr string) (ErrorChunk, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return ErrorChunk{}, err + } + ctx := NewLoadContext() + return LoadErrorChunk(data, ctx) +} + +// FromYAML creates ErrorChunk from YAML string +func ErrorChunkFromYAML(yamlStr string) (ErrorChunk, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return ErrorChunk{}, err + } + ctx := NewLoadContext() + return LoadErrorChunk(data, ctx) +} diff --git a/runtime/go/prompty/model/stream_chunk_test.go b/runtime/go/prompty/model/stream_chunk_test.go new file mode 100644 index 00000000..8f595d20 --- /dev/null +++ b/runtime/go/prompty/model/stream_chunk_test.go @@ -0,0 +1,12 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) diff --git a/runtime/go/prompty/model/text_chunk_test.go b/runtime/go/prompty/model/text_chunk_test.go new file mode 100644 index 00000000..6eba32d9 --- /dev/null +++ b/runtime/go/prompty/model/text_chunk_test.go @@ -0,0 +1,140 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestTextChunkLoadJSON tests loading TextChunk from JSON +func TestTextChunkLoadJSON(t *testing.T) { + jsonData := ` +{ + "value": "Hello" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadTextChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load TextChunk: %v", err) + } + if instance.Value != "Hello" { + t.Errorf(`Expected Value to be "Hello", got %v`, instance.Value) + } +} + +// TestTextChunkLoadYAML tests loading TextChunk from YAML +func TestTextChunkLoadYAML(t *testing.T) { + yamlData := ` +value: Hello + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadTextChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load TextChunk: %v", err) + } + if instance.Value != "Hello" { + t.Errorf(`Expected Value to be "Hello", got %v`, instance.Value) + } +} + +// TestTextChunkRoundtrip tests load -> save -> load produces equivalent data +func TestTextChunkRoundtrip(t *testing.T) { + jsonData := ` +{ + "value": "Hello" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadTextChunk(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load TextChunk: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadTextChunk(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload TextChunk: %v", err) + } + if reloaded.Value != "Hello" { + t.Errorf(`Expected Value to be "Hello", got %v`, reloaded.Value) + } +} + +// TestTextChunkToJSON tests that ToJSON produces valid JSON +func TestTextChunkToJSON(t *testing.T) { + jsonData := ` +{ + "value": "Hello" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadTextChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load TextChunk: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestTextChunkToYAML tests that ToYAML produces valid YAML +func TestTextChunkToYAML(t *testing.T) { + jsonData := ` +{ + "value": "Hello" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadTextChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load TextChunk: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/text_part_test.go b/runtime/go/prompty/model/text_part_test.go new file mode 100644 index 00000000..202ddefc --- /dev/null +++ b/runtime/go/prompty/model/text_part_test.go @@ -0,0 +1,140 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestTextPartLoadJSON tests loading TextPart from JSON +func TestTextPartLoadJSON(t *testing.T) { + jsonData := ` +{ + "value": "Hello, world!" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadTextPart(data, ctx) + if err != nil { + t.Fatalf("Failed to load TextPart: %v", err) + } + if instance.Value != "Hello, world!" { + t.Errorf(`Expected Value to be "Hello, world!", got %v`, instance.Value) + } +} + +// TestTextPartLoadYAML tests loading TextPart from YAML +func TestTextPartLoadYAML(t *testing.T) { + yamlData := ` +value: Hello, world! + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadTextPart(data, ctx) + if err != nil { + t.Fatalf("Failed to load TextPart: %v", err) + } + if instance.Value != "Hello, world!" { + t.Errorf(`Expected Value to be "Hello, world!", got %v`, instance.Value) + } +} + +// TestTextPartRoundtrip tests load -> save -> load produces equivalent data +func TestTextPartRoundtrip(t *testing.T) { + jsonData := ` +{ + "value": "Hello, world!" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadTextPart(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load TextPart: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadTextPart(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload TextPart: %v", err) + } + if reloaded.Value != "Hello, world!" { + t.Errorf(`Expected Value to be "Hello, world!", got %v`, reloaded.Value) + } +} + +// TestTextPartToJSON tests that ToJSON produces valid JSON +func TestTextPartToJSON(t *testing.T) { + jsonData := ` +{ + "value": "Hello, world!" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadTextPart(data, ctx) + if err != nil { + t.Fatalf("Failed to load TextPart: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestTextPartToYAML tests that ToYAML produces valid YAML +func TestTextPartToYAML(t *testing.T) { + jsonData := ` +{ + "value": "Hello, world!" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadTextPart(data, ctx) + if err != nil { + t.Fatalf("Failed to load TextPart: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/thinking_chunk_test.go b/runtime/go/prompty/model/thinking_chunk_test.go new file mode 100644 index 00000000..fa3205bf --- /dev/null +++ b/runtime/go/prompty/model/thinking_chunk_test.go @@ -0,0 +1,140 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestThinkingChunkLoadJSON tests loading ThinkingChunk from JSON +func TestThinkingChunkLoadJSON(t *testing.T) { + jsonData := ` +{ + "value": "Let me consider..." +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadThinkingChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ThinkingChunk: %v", err) + } + if instance.Value != "Let me consider..." { + t.Errorf(`Expected Value to be "Let me consider...", got %v`, instance.Value) + } +} + +// TestThinkingChunkLoadYAML tests loading ThinkingChunk from YAML +func TestThinkingChunkLoadYAML(t *testing.T) { + yamlData := ` +value: Let me consider... + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadThinkingChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ThinkingChunk: %v", err) + } + if instance.Value != "Let me consider..." { + t.Errorf(`Expected Value to be "Let me consider...", got %v`, instance.Value) + } +} + +// TestThinkingChunkRoundtrip tests load -> save -> load produces equivalent data +func TestThinkingChunkRoundtrip(t *testing.T) { + jsonData := ` +{ + "value": "Let me consider..." +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadThinkingChunk(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load ThinkingChunk: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadThinkingChunk(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload ThinkingChunk: %v", err) + } + if reloaded.Value != "Let me consider..." { + t.Errorf(`Expected Value to be "Let me consider...", got %v`, reloaded.Value) + } +} + +// TestThinkingChunkToJSON tests that ToJSON produces valid JSON +func TestThinkingChunkToJSON(t *testing.T) { + jsonData := ` +{ + "value": "Let me consider..." +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadThinkingChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ThinkingChunk: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestThinkingChunkToYAML tests that ToYAML produces valid YAML +func TestThinkingChunkToYAML(t *testing.T) { + jsonData := ` +{ + "value": "Let me consider..." +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadThinkingChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ThinkingChunk: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/tool.go b/runtime/go/prompty/model/tool.go index 727b9482..6187f6bb 100644 --- a/runtime/go/prompty/model/tool.go +++ b/runtime/go/prompty/model/tool.go @@ -549,13 +549,15 @@ func OpenApiToolFromYAML(yamlStr string) (OpenApiTool, error) { // PromptyTool represents A tool that references another .prompty file to be invoked as a tool. // -// In `single` mode, the child prompty is executed with a single LLM call. -// In `agentic` mode, the child prompty runs a full agent loop with its own tools. +// PromptyTool is always single-shot — the child prompty is loaded, rendered, +// and executed with a single LLM call (invoke). It does NOT run an agent loop. +// +// Applications that need agentic sub-agent delegation should register +// `kind: function` tools that internally call `turn()` with their own TurnOptions. type PromptyTool struct { Kind string `json:"kind" yaml:"kind"` Path string `json:"path" yaml:"path"` - Mode string `json:"mode" yaml:"mode"` } // LoadPromptyTool creates a PromptyTool from a map[string]interface{} @@ -570,9 +572,6 @@ func LoadPromptyTool(data interface{}, ctx *LoadContext) (PromptyTool, error) { if val, ok := m["path"]; ok && val != nil { result.Path = val.(string) } - if val, ok := m["mode"]; ok && val != nil { - result.Mode = val.(string) - } } return result, nil @@ -583,7 +582,6 @@ func (obj *PromptyTool) Save(ctx *SaveContext) map[string]interface{} { result := make(map[string]interface{}) result["kind"] = obj.Kind result["path"] = obj.Path - result["mode"] = obj.Mode return result } diff --git a/runtime/go/prompty/model/tool_call.go b/runtime/go/prompty/model/tool_call.go new file mode 100644 index 00000000..37325db5 --- /dev/null +++ b/runtime/go/prompty/model/tool_call.go @@ -0,0 +1,90 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty + +import ( + "encoding/json" + + "gopkg.in/yaml.v3" +) + +// ToolCall represents A tool call requested by the LLM. Contains the function name and serialized +// arguments that should be dispatched to the appropriate tool handler. + +type ToolCall struct { + Id string `json:"id" yaml:"id"` + Name string `json:"name" yaml:"name"` + Arguments string `json:"arguments" yaml:"arguments"` +} + +// LoadToolCall creates a ToolCall from a map[string]interface{} +func LoadToolCall(data interface{}, ctx *LoadContext) (ToolCall, error) { + result := ToolCall{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["id"]; ok && val != nil { + result.Id = val.(string) + } + if val, ok := m["name"]; ok && val != nil { + result.Name = val.(string) + } + if val, ok := m["arguments"]; ok && val != nil { + result.Arguments = val.(string) + } + } + + return result, nil +} + +// Save serializes ToolCall to map[string]interface{} +func (obj *ToolCall) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + result["id"] = obj.Id + result["name"] = obj.Name + result["arguments"] = obj.Arguments + + return result +} + +// ToJSON serializes ToolCall to JSON string +func (obj *ToolCall) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes ToolCall to YAML string +func (obj *ToolCall) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates ToolCall from JSON string +func ToolCallFromJSON(jsonStr string) (ToolCall, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return ToolCall{}, err + } + ctx := NewLoadContext() + return LoadToolCall(data, ctx) +} + +// FromYAML creates ToolCall from YAML string +func ToolCallFromYAML(yamlStr string) (ToolCall, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return ToolCall{}, err + } + ctx := NewLoadContext() + return LoadToolCall(data, ctx) +} diff --git a/runtime/go/prompty/model/tool_call_test.go b/runtime/go/prompty/model/tool_call_test.go new file mode 100644 index 00000000..40e25975 --- /dev/null +++ b/runtime/go/prompty/model/tool_call_test.go @@ -0,0 +1,168 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestToolCallLoadJSON tests loading ToolCall from JSON +func TestToolCallLoadJSON(t *testing.T) { + jsonData := ` +{ + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolCall(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolCall: %v", err) + } + if instance.Id != "call_abc123" { + t.Errorf(`Expected Id to be "call_abc123", got %v`, instance.Id) + } + if instance.Name != "get_weather" { + t.Errorf(`Expected Name to be "get_weather", got %v`, instance.Name) + } + if instance.Arguments != "{\"city\": \"Paris\"}" { + t.Errorf(`Expected Arguments to be "{\"city\": \"Paris\"}", got %v`, instance.Arguments) + } +} + +// TestToolCallLoadYAML tests loading ToolCall from YAML +func TestToolCallLoadYAML(t *testing.T) { + yamlData := ` +id: call_abc123 +name: get_weather +arguments: "{\"city\": \"Paris\"}" + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolCall(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolCall: %v", err) + } + if instance.Id != "call_abc123" { + t.Errorf(`Expected Id to be "call_abc123", got %v`, instance.Id) + } + if instance.Name != "get_weather" { + t.Errorf(`Expected Name to be "get_weather", got %v`, instance.Name) + } + if instance.Arguments != "{\"city\": \"Paris\"}" { + t.Errorf(`Expected Arguments to be "{\"city\": \"Paris\"}", got %v`, instance.Arguments) + } +} + +// TestToolCallRoundtrip tests load -> save -> load produces equivalent data +func TestToolCallRoundtrip(t *testing.T) { + jsonData := ` +{ + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadToolCall(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load ToolCall: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadToolCall(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload ToolCall: %v", err) + } + if reloaded.Id != "call_abc123" { + t.Errorf(`Expected Id to be "call_abc123", got %v`, reloaded.Id) + } + if reloaded.Name != "get_weather" { + t.Errorf(`Expected Name to be "get_weather", got %v`, reloaded.Name) + } + if reloaded.Arguments != "{\"city\": \"Paris\"}" { + t.Errorf(`Expected Arguments to be "{\"city\": \"Paris\"}", got %v`, reloaded.Arguments) + } +} + +// TestToolCallToJSON tests that ToJSON produces valid JSON +func TestToolCallToJSON(t *testing.T) { + jsonData := ` +{ + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolCall(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolCall: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestToolCallToYAML tests that ToYAML produces valid YAML +func TestToolCallToYAML(t *testing.T) { + jsonData := ` +{ + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolCall(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolCall: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/tool_chunk_test.go b/runtime/go/prompty/model/tool_chunk_test.go new file mode 100644 index 00000000..1efda547 --- /dev/null +++ b/runtime/go/prompty/model/tool_chunk_test.go @@ -0,0 +1,153 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestToolChunkLoadJSON tests loading ToolChunk from JSON +func TestToolChunkLoadJSON(t *testing.T) { + jsonData := ` +{ + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolChunk: %v", err) + } + _ = instance // No scalar properties to validate +} + +// TestToolChunkLoadYAML tests loading ToolChunk from YAML +func TestToolChunkLoadYAML(t *testing.T) { + yamlData := ` +toolCall: + id: call_abc123 + name: get_weather + arguments: "{\"city\": \"Paris\"}" + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolChunk: %v", err) + } + _ = instance // No scalar properties to validate +} + +// TestToolChunkRoundtrip tests load -> save -> load produces equivalent data +func TestToolChunkRoundtrip(t *testing.T) { + jsonData := ` +{ + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadToolChunk(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load ToolChunk: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadToolChunk(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload ToolChunk: %v", err) + } + _ = reloaded // No scalar properties to validate +} + +// TestToolChunkToJSON tests that ToJSON produces valid JSON +func TestToolChunkToJSON(t *testing.T) { + jsonData := ` +{ + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolChunk: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestToolChunkToYAML tests that ToYAML produces valid YAML +func TestToolChunkToYAML(t *testing.T) { + jsonData := ` +{ + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolChunk(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolChunk: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/go/prompty/model/tool_result.go b/runtime/go/prompty/model/tool_result.go new file mode 100644 index 00000000..358e9871 --- /dev/null +++ b/runtime/go/prompty/model/tool_result.go @@ -0,0 +1,106 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty + +import ( + "encoding/json" + + "gopkg.in/yaml.v3" +) + +// ToolResult represents The result of a tool execution. Contains a list of content parts, enabling +// rich tool results (text, images, files, audio) rather than just strings. +// +// Implementations MUST support conversion from a plain string to a ToolResult +// containing a single TextPart for backward compatibility. + +type ToolResult struct { + Parts []interface{} `json:"parts" yaml:"parts"` +} + +// LoadToolResult creates a ToolResult from a map[string]interface{} +func LoadToolResult(data interface{}, ctx *LoadContext) (ToolResult, error) { + result := ToolResult{} + + // Load from map + if m, ok := data.(map[string]interface{}); ok { + if val, ok := m["parts"]; ok && val != nil { + if arr, ok := val.([]interface{}); ok { + result.Parts = make([]interface{}, len(arr)) + for i, v := range arr { + if item, ok := v.(map[string]interface{}); ok { + loaded, _ := LoadContentPart(item, ctx) + // Polymorphic type - store as interface{} + result.Parts[i] = loaded + } + } + } + } + } + + return result, nil +} + +// Save serializes ToolResult to map[string]interface{} +func (obj *ToolResult) Save(ctx *SaveContext) map[string]interface{} { + result := make(map[string]interface{}) + if obj.Parts != nil { + arr := make([]interface{}, len(obj.Parts)) + for i, item := range obj.Parts { + // Handle polymorphic type via type switch + switch v := item.(type) { + case interface { + Save(*SaveContext) map[string]interface{} + }: + arr[i] = v.Save(ctx) + default: + arr[i] = item + } + } + result["parts"] = arr + } + + return result +} + +// ToJSON serializes ToolResult to JSON string +func (obj *ToolResult) ToJSON() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := json.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// ToYAML serializes ToolResult to YAML string +func (obj *ToolResult) ToYAML() (string, error) { + ctx := NewSaveContext() + data := obj.Save(ctx) + bytes, err := yaml.Marshal(data) + if err != nil { + return "", err + } + return string(bytes), nil +} + +// FromJSON creates ToolResult from JSON string +func ToolResultFromJSON(jsonStr string) (ToolResult, error) { + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonStr), &data); err != nil { + return ToolResult{}, err + } + ctx := NewLoadContext() + return LoadToolResult(data, ctx) +} + +// FromYAML creates ToolResult from YAML string +func ToolResultFromYAML(yamlStr string) (ToolResult, error) { + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlStr), &data); err != nil { + return ToolResult{}, err + } + ctx := NewLoadContext() + return LoadToolResult(data, ctx) +} diff --git a/runtime/go/prompty/model/tool_result_test.go b/runtime/go/prompty/model/tool_result_test.go new file mode 100644 index 00000000..04d5d5fe --- /dev/null +++ b/runtime/go/prompty/model/tool_result_test.go @@ -0,0 +1,156 @@ +// Code generated by AgentSchema emitter; DO NOT EDIT. + +package prompty_test + +import ( + "encoding/json" + "testing" + + "gopkg.in/yaml.v3" + + "github.com/microsoft/agentschema-go/prompty" +) + +// TestToolResultLoadJSON tests loading ToolResult from JSON +func TestToolResultLoadJSON(t *testing.T) { + jsonData := ` +{ + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolResult(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolResult: %v", err) + } + _ = instance // No scalar properties to validate +} + +// TestToolResultLoadYAML tests loading ToolResult from YAML +func TestToolResultLoadYAML(t *testing.T) { + yamlData := ` +parts: + - kind: text + value: 72°F and sunny + +` + var data map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlData), &data); err != nil { + t.Fatalf("Failed to parse YAML: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolResult(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolResult: %v", err) + } + _ = instance // No scalar properties to validate +} + +// TestToolResultRoundtrip tests load -> save -> load produces equivalent data +func TestToolResultRoundtrip(t *testing.T) { + jsonData := ` +{ + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + loadCtx := prompty.NewLoadContext() + instance, err := prompty.LoadToolResult(data, loadCtx) + if err != nil { + t.Fatalf("Failed to load ToolResult: %v", err) + } + saveCtx := prompty.NewSaveContext() + savedData := instance.Save(saveCtx) + + reloaded, err := prompty.LoadToolResult(savedData, loadCtx) + if err != nil { + t.Fatalf("Failed to reload ToolResult: %v", err) + } + _ = reloaded // No scalar properties to validate +} + +// TestToolResultToJSON tests that ToJSON produces valid JSON +func TestToolResultToJSON(t *testing.T) { + jsonData := ` +{ + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolResult(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolResult: %v", err) + } + jsonOutput, err := instance.ToJSON() + if err != nil { + t.Fatalf("Failed to convert to JSON: %v", err) + } + + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(jsonOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated JSON: %v", err) + } +} + +// TestToolResultToYAML tests that ToYAML produces valid YAML +func TestToolResultToYAML(t *testing.T) { + jsonData := ` +{ + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] +} +` + var data map[string]interface{} + if err := json.Unmarshal([]byte(jsonData), &data); err != nil { + t.Fatalf("Failed to parse JSON: %v", err) + } + + ctx := prompty.NewLoadContext() + instance, err := prompty.LoadToolResult(data, ctx) + if err != nil { + t.Fatalf("Failed to load ToolResult: %v", err) + } + yamlOutput, err := instance.ToYAML() + if err != nil { + t.Fatalf("Failed to convert to YAML: %v", err) + } + + var parsed map[string]interface{} + if err := yaml.Unmarshal([]byte(yamlOutput), &parsed); err != nil { + t.Fatalf("Failed to parse generated YAML: %v", err) + } +} diff --git a/runtime/python/prompty/prompty/model/_Binding.py b/runtime/python/prompty/prompty/model/_Binding.py index 2b75bd0f..ada83410 100644 --- a/runtime/python/prompty/prompty/model/_Binding.py +++ b/runtime/python/prompty/prompty/model/_Binding.py @@ -5,15 +5,16 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional from ._context import LoadContext, SaveContext + @dataclass class Binding: """Represents a binding between an input property and a tool parameter. - + Attributes ---------- name : str @@ -22,13 +23,13 @@ class Binding: The input property that will be bound to the tool parameter argument """ - _shorthand_property: ClassVar[str | None] = "input" + _shorthand_property: ClassVar[Optional[str]] = "input" name: str = field(default="") input: str = field(default="") @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "Binding": + def load(data: Any, context: Optional[LoadContext] = None) -> "Binding": """Load a Binding instance. Args: data (Any): The data to load the instance from. @@ -40,11 +41,11 @@ def load(data: Any, context: LoadContext | None = None) -> "Binding": if context is not None: data = context.process_input(data) - + # handle alternate representations if isinstance(data, str): data = {"input": data} - + if not isinstance(data, dict): raise ValueError(f"Invalid data for Binding: {data}") @@ -59,7 +60,9 @@ def load(data: Any, context: LoadContext | None = None) -> "Binding": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the Binding instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -71,6 +74,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.name is not None: @@ -82,7 +86,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the Binding instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -94,7 +98,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the Binding instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -106,3 +110,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Connection.py b/runtime/python/prompty/prompty/model/_Connection.py index 41d3c3c4..e87cb310 100644 --- a/runtime/python/prompty/prompty/model/_Connection.py +++ b/runtime/python/prompty/prompty/model/_Connection.py @@ -6,17 +6,18 @@ from abc import ABC from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional from ._context import LoadContext, SaveContext + @dataclass class Connection(ABC): """Connection configuration for AI agents. `provider`, `kind`, and `endpoint` are required properties here, but this section can accept additional via options. - + Attributes ---------- kind : str @@ -27,14 +28,14 @@ class Connection(ABC): The usage description for the connection, providing context on how this connection will be used """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="") - authenticationMode: str | None = None - usageDescription: str | None = None + authenticationMode: Optional[str] = None + usageDescription: Optional[str] = None @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "Connection": + def load(data: Any, context: Optional[LoadContext] = None) -> "Connection": """Load a Connection instance. Args: data (Any): The data to load the instance from. @@ -46,13 +47,14 @@ def load(data: Any, context: LoadContext | None = None) -> "Connection": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for Connection: {data}") # load polymorphic Connection instance instance = Connection.load_kind(data, context) + if data is not None and "kind" in data: instance.kind = data["kind"] if data is not None and "authenticationMode" in data: @@ -63,8 +65,10 @@ def load(data: Any, context: LoadContext | None = None) -> "Connection": instance = context.process_output(instance) return instance + + @staticmethod - def load_kind(data: dict, context: LoadContext | None) -> "Connection": + def load_kind(data: dict, context: Optional[LoadContext]) -> "Connection": # load polymorphic Connection instance if data is not None and "kind" in data: discriminator_value = str(data["kind"]).lower() @@ -84,9 +88,11 @@ def load_kind(data: dict, context: LoadContext | None) -> "Connection": else: raise ValueError(f"Unknown Connection discriminator value: {discriminator_value}") else: + raise ValueError("Missing Connection discriminator property: 'kind'") - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the Connection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -98,6 +104,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.kind is not None: @@ -111,7 +118,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the Connection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -123,7 +130,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the Connection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -140,7 +147,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: @dataclass class ReferenceConnection(Connection): """Connection configuration for AI services using named connections. - + Attributes ---------- kind : str @@ -151,14 +158,14 @@ class ReferenceConnection(Connection): The target resource or service that this connection refers to """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="reference") name: str = field(default="") - target: str | None = None + target: Optional[str] = None @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "ReferenceConnection": + def load(data: Any, context: Optional[LoadContext] = None) -> "ReferenceConnection": """Load a ReferenceConnection instance. Args: data (Any): The data to load the instance from. @@ -170,7 +177,7 @@ def load(data: Any, context: LoadContext | None = None) -> "ReferenceConnection" if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for ReferenceConnection: {data}") @@ -187,7 +194,9 @@ def load(data: Any, context: LoadContext | None = None) -> "ReferenceConnection" instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the ReferenceConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -199,9 +208,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.name is not None: @@ -211,7 +222,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the ReferenceConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -223,7 +234,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the ReferenceConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -240,7 +251,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: @dataclass class RemoteConnection(Connection): """Connection configuration for AI services using named connections. - + Attributes ---------- kind : str @@ -251,14 +262,14 @@ class RemoteConnection(Connection): The endpoint URL for the AI service """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="remote") name: str = field(default="") endpoint: str = field(default="") @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "RemoteConnection": + def load(data: Any, context: Optional[LoadContext] = None) -> "RemoteConnection": """Load a RemoteConnection instance. Args: data (Any): The data to load the instance from. @@ -270,7 +281,7 @@ def load(data: Any, context: LoadContext | None = None) -> "RemoteConnection": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for RemoteConnection: {data}") @@ -287,7 +298,9 @@ def load(data: Any, context: LoadContext | None = None) -> "RemoteConnection": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the RemoteConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -299,9 +312,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.name is not None: @@ -311,7 +326,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the RemoteConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -323,7 +338,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the RemoteConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -340,7 +355,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: @dataclass class ApiKeyConnection(Connection): """Connection configuration for AI services using API keys. - + Attributes ---------- kind : str @@ -351,14 +366,14 @@ class ApiKeyConnection(Connection): The API key for authenticating with the AI service """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="key") endpoint: str = field(default="") apiKey: str = field(default="") @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "ApiKeyConnection": + def load(data: Any, context: Optional[LoadContext] = None) -> "ApiKeyConnection": """Load a ApiKeyConnection instance. Args: data (Any): The data to load the instance from. @@ -370,7 +385,7 @@ def load(data: Any, context: LoadContext | None = None) -> "ApiKeyConnection": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for ApiKeyConnection: {data}") @@ -387,7 +402,9 @@ def load(data: Any, context: LoadContext | None = None) -> "ApiKeyConnection": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the ApiKeyConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -399,9 +416,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.endpoint is not None: @@ -411,7 +430,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the ApiKeyConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -423,7 +442,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the ApiKeyConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -440,7 +459,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: @dataclass class AnonymousConnection(Connection): """ - + Attributes ---------- kind : str @@ -449,13 +468,13 @@ class AnonymousConnection(Connection): The endpoint for authenticating with the AI service """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="anonymous") endpoint: str = field(default="") @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "AnonymousConnection": + def load(data: Any, context: Optional[LoadContext] = None) -> "AnonymousConnection": """Load a AnonymousConnection instance. Args: data (Any): The data to load the instance from. @@ -467,7 +486,7 @@ def load(data: Any, context: LoadContext | None = None) -> "AnonymousConnection" if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for AnonymousConnection: {data}") @@ -482,7 +501,9 @@ def load(data: Any, context: LoadContext | None = None) -> "AnonymousConnection" instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the AnonymousConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -494,9 +515,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.endpoint is not None: @@ -504,7 +527,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the AnonymousConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -516,7 +539,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the AnonymousConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -535,7 +558,7 @@ class FoundryConnection(Connection): """Connection configuration for Microsoft Foundry projects. Provides project-scoped access to models, tools, and services via Entra ID (DefaultAzureCredential) authentication. - + Attributes ---------- kind : str @@ -548,15 +571,15 @@ class FoundryConnection(Connection): The connection type within the Foundry project (e.g., 'model', 'index', 'storage') """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="foundry") endpoint: str = field(default="") - name: str | None = None - connectionType: str | None = None + name: Optional[str] = None + connectionType: Optional[str] = None @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "FoundryConnection": + def load(data: Any, context: Optional[LoadContext] = None) -> "FoundryConnection": """Load a FoundryConnection instance. Args: data (Any): The data to load the instance from. @@ -568,7 +591,7 @@ def load(data: Any, context: LoadContext | None = None) -> "FoundryConnection": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for FoundryConnection: {data}") @@ -587,7 +610,9 @@ def load(data: Any, context: LoadContext | None = None) -> "FoundryConnection": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the FoundryConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -599,9 +624,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.endpoint is not None: @@ -613,7 +640,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the FoundryConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -625,7 +652,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the FoundryConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -644,7 +671,7 @@ class OAuthConnection(Connection): """Connection configuration using OAuth 2.0 client credentials. Useful for tools and services that require OAuth authentication, such as MCP servers, OpenAPI endpoints, or other REST APIs. - + Attributes ---------- kind : str @@ -661,7 +688,7 @@ class OAuthConnection(Connection): OAuth scopes to request """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="oauth") endpoint: str = field(default="") @@ -671,7 +698,7 @@ class OAuthConnection(Connection): scopes: list[str] = field(default_factory=list) @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "OAuthConnection": + def load(data: Any, context: Optional[LoadContext] = None) -> "OAuthConnection": """Load a OAuthConnection instance. Args: data (Any): The data to load the instance from. @@ -683,7 +710,7 @@ def load(data: Any, context: LoadContext | None = None) -> "OAuthConnection": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for OAuthConnection: {data}") @@ -706,7 +733,9 @@ def load(data: Any, context: LoadContext | None = None) -> "OAuthConnection": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the OAuthConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -718,9 +747,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.endpoint is not None: @@ -736,7 +767,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the OAuthConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -748,7 +779,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the OAuthConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -760,3 +791,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ContentPart.py b/runtime/python/prompty/prompty/model/_ContentPart.py new file mode 100644 index 00000000..4ffd5906 --- /dev/null +++ b/runtime/python/prompty/prompty/model/_ContentPart.py @@ -0,0 +1,542 @@ +########################################## +# WARNING: This is an auto-generated file. +# DO NOT EDIT THIS FILE DIRECTLY +# ANY EDITS WILL BE LOST +########################################## + +from abc import ABC +from dataclasses import dataclass, field +from typing import Any, ClassVar, Optional + +from ._context import LoadContext, SaveContext + + + +@dataclass +class ContentPart(ABC): + """A part of a message's content. Content parts are discriminated on the `kind` + field and represent the different modalities that can appear in a message. + + Attributes + ---------- + kind : str + The kind of content part + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + kind: str = field(default="") + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "ContentPart": + """Load a ContentPart instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + ContentPart: The loaded ContentPart instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for ContentPart: {data}") + + # load polymorphic ContentPart instance + instance = ContentPart.load_kind(data, context) + + + if data is not None and "kind" in data: + instance.kind = data["kind"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + @staticmethod + def load_kind(data: dict, context: Optional[LoadContext]) -> "ContentPart": + # load polymorphic ContentPart instance + if data is not None and "kind" in data: + discriminator_value = str(data["kind"]).lower() + if discriminator_value == "text": + return TextPart.load(data, context) + elif discriminator_value == "image": + return ImagePart.load(data, context) + elif discriminator_value == "file": + return FilePart.load(data, context) + elif discriminator_value == "audio": + return AudioPart.load(data, context) + + else: + raise ValueError(f"Unknown ContentPart discriminator value: {discriminator_value}") + else: + + raise ValueError("Missing ContentPart discriminator property: 'kind'") + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the ContentPart instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + result: dict[str, Any] = {} + + if obj.kind is not None: + result["kind"] = obj.kind + + if context is not None: + result = context.process_dict(result) + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the ContentPart instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the ContentPart instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + + +@dataclass +class TextPart(ContentPart): + """A text content part. + + Attributes + ---------- + kind : str + The kind identifier for text content + value : str + The text content + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + kind: str = field(default="text") + value: str = field(default="") + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "TextPart": + """Load a TextPart instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + TextPart: The loaded TextPart instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for TextPart: {data}") + + # create new instance + instance = TextPart() + + if data is not None and "kind" in data: + instance.kind = data["kind"] + if data is not None and "value" in data: + instance.value = data["value"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the TextPart instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + # Start with parent class properties + result = super().save(context) + + + if obj.kind is not None: + result["kind"] = obj.kind + if obj.value is not None: + result["value"] = obj.value + + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the TextPart instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the TextPart instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + + +@dataclass +class ImagePart(ContentPart): + """An image content part. The source may be a URL or base64-encoded data. + + Attributes + ---------- + kind : str + The kind identifier for image content + source : str + URL or base64-encoded image data + detail : Optional[str] + Detail level hint for the model (e.g., 'auto', 'low', 'high') + mediaType : Optional[str] + MIME type of the image (e.g., 'image/png') + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + kind: str = field(default="image") + source: str = field(default="") + detail: Optional[str] = None + mediaType: Optional[str] = None + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "ImagePart": + """Load a ImagePart instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + ImagePart: The loaded ImagePart instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for ImagePart: {data}") + + # create new instance + instance = ImagePart() + + if data is not None and "kind" in data: + instance.kind = data["kind"] + if data is not None and "source" in data: + instance.source = data["source"] + if data is not None and "detail" in data: + instance.detail = data["detail"] + if data is not None and "mediaType" in data: + instance.mediaType = data["mediaType"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the ImagePart instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + # Start with parent class properties + result = super().save(context) + + + if obj.kind is not None: + result["kind"] = obj.kind + if obj.source is not None: + result["source"] = obj.source + if obj.detail is not None: + result["detail"] = obj.detail + if obj.mediaType is not None: + result["mediaType"] = obj.mediaType + + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the ImagePart instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the ImagePart instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + + +@dataclass +class FilePart(ContentPart): + """A file content part. The source may be a URL or base64-encoded data. + + Attributes + ---------- + kind : str + The kind identifier for file content + source : str + URL or base64-encoded file data + mediaType : Optional[str] + MIME type of the file (e.g., 'application/pdf') + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + kind: str = field(default="file") + source: str = field(default="") + mediaType: Optional[str] = None + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "FilePart": + """Load a FilePart instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + FilePart: The loaded FilePart instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for FilePart: {data}") + + # create new instance + instance = FilePart() + + if data is not None and "kind" in data: + instance.kind = data["kind"] + if data is not None and "source" in data: + instance.source = data["source"] + if data is not None and "mediaType" in data: + instance.mediaType = data["mediaType"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the FilePart instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + # Start with parent class properties + result = super().save(context) + + + if obj.kind is not None: + result["kind"] = obj.kind + if obj.source is not None: + result["source"] = obj.source + if obj.mediaType is not None: + result["mediaType"] = obj.mediaType + + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the FilePart instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the FilePart instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + + +@dataclass +class AudioPart(ContentPart): + """An audio content part. The source may be a URL or base64-encoded data. + + Attributes + ---------- + kind : str + The kind identifier for audio content + source : str + URL or base64-encoded audio data + mediaType : Optional[str] + MIME type of the audio (e.g., 'audio/wav') + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + kind: str = field(default="audio") + source: str = field(default="") + mediaType: Optional[str] = None + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "AudioPart": + """Load a AudioPart instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + AudioPart: The loaded AudioPart instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for AudioPart: {data}") + + # create new instance + instance = AudioPart() + + if data is not None and "kind" in data: + instance.kind = data["kind"] + if data is not None and "source" in data: + instance.source = data["source"] + if data is not None and "mediaType" in data: + instance.mediaType = data["mediaType"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the AudioPart instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + # Start with parent class properties + result = super().save(context) + + + if obj.kind is not None: + result["kind"] = obj.kind + if obj.source is not None: + result["source"] = obj.source + if obj.mediaType is not None: + result["mediaType"] = obj.mediaType + + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the AudioPart instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the AudioPart instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_FormatConfig.py b/runtime/python/prompty/prompty/model/_FormatConfig.py index ace13c23..1a00243a 100644 --- a/runtime/python/prompty/prompty/model/_FormatConfig.py +++ b/runtime/python/prompty/prompty/model/_FormatConfig.py @@ -5,15 +5,16 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional from ._context import LoadContext, SaveContext + @dataclass class FormatConfig: """Template format definition - + Attributes ---------- kind : str @@ -24,14 +25,14 @@ class FormatConfig: Options for the template engine """ - _shorthand_property: ClassVar[str | None] = "kind" + _shorthand_property: ClassVar[Optional[str]] = "kind" kind: str = field(default="*") - strict: bool | None = None - options: dict[str, Any] | None = None + strict: Optional[bool] = None + options: Optional[dict[str, Any]] = None @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "FormatConfig": + def load(data: Any, context: Optional[LoadContext] = None) -> "FormatConfig": """Load a FormatConfig instance. Args: data (Any): The data to load the instance from. @@ -43,11 +44,11 @@ def load(data: Any, context: LoadContext | None = None) -> "FormatConfig": if context is not None: data = context.process_input(data) - + # handle alternate representations if isinstance(data, str): data = {"kind": data} - + if not isinstance(data, dict): raise ValueError(f"Invalid data for FormatConfig: {data}") @@ -64,7 +65,9 @@ def load(data: Any, context: LoadContext | None = None) -> "FormatConfig": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the FormatConfig instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -76,6 +79,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.kind is not None: @@ -89,7 +93,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the FormatConfig instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -101,7 +105,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the FormatConfig instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -113,3 +117,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_GuardrailResult.py b/runtime/python/prompty/prompty/model/_GuardrailResult.py new file mode 100644 index 00000000..dce8520b --- /dev/null +++ b/runtime/python/prompty/prompty/model/_GuardrailResult.py @@ -0,0 +1,118 @@ +########################################## +# WARNING: This is an auto-generated file. +# DO NOT EDIT THIS FILE DIRECTLY +# ANY EDITS WILL BE LOST +########################################## + +from dataclasses import dataclass, field +from typing import Any, ClassVar, Optional + +from ._context import LoadContext, SaveContext + + + +@dataclass +class GuardrailResult: + """The result of a guardrail evaluation. Guardrails are safety checks that + run at specific phases of the agent loop and can allow, deny, or rewrite + content. + + Attributes + ---------- + allowed : bool + Whether the content passed the guardrail check + reason : Optional[str] + Explanation of why the content was allowed or denied + rewrite : Optional[Any] + Optional rewritten content to replace the original + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + allowed: bool = field(default=False) + reason: Optional[str] = None + rewrite: Optional[Any] = None + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "GuardrailResult": + """Load a GuardrailResult instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + GuardrailResult: The loaded GuardrailResult instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for GuardrailResult: {data}") + + # create new instance + instance = GuardrailResult() + + if data is not None and "allowed" in data: + instance.allowed = data["allowed"] + if data is not None and "reason" in data: + instance.reason = data["reason"] + if data is not None and "rewrite" in data: + instance.rewrite = data["rewrite"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the GuardrailResult instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + result: dict[str, Any] = {} + + if obj.allowed is not None: + result["allowed"] = obj.allowed + if obj.reason is not None: + result["reason"] = obj.reason + if obj.rewrite is not None: + result["rewrite"] = obj.rewrite + + if context is not None: + result = context.process_dict(result) + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the GuardrailResult instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the GuardrailResult instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_McpApprovalMode.py b/runtime/python/prompty/prompty/model/_McpApprovalMode.py index 52fd9b34..2b1ab83b 100644 --- a/runtime/python/prompty/prompty/model/_McpApprovalMode.py +++ b/runtime/python/prompty/prompty/model/_McpApprovalMode.py @@ -5,17 +5,18 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional from ._context import LoadContext, SaveContext + @dataclass class McpApprovalMode: """The approval mode for MCP server tools. When kind is "specify", use alwaysRequireApprovalTools and neverRequireApprovalTools to control per-tool approval. For "always" and "never", those fields are ignored. - + Attributes ---------- kind : str @@ -26,14 +27,14 @@ class McpApprovalMode: List of tools that never require approval (only used when kind is 'specify') """ - _shorthand_property: ClassVar[str | None] = "kind" + _shorthand_property: ClassVar[Optional[str]] = "kind" kind: str = field(default="") alwaysRequireApprovalTools: list[str] = field(default_factory=list) neverRequireApprovalTools: list[str] = field(default_factory=list) @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "McpApprovalMode": + def load(data: Any, context: Optional[LoadContext] = None) -> "McpApprovalMode": """Load a McpApprovalMode instance. Args: data (Any): The data to load the instance from. @@ -45,11 +46,11 @@ def load(data: Any, context: LoadContext | None = None) -> "McpApprovalMode": if context is not None: data = context.process_input(data) - + # handle alternate representations if isinstance(data, str): data = {"kind": data} - + if not isinstance(data, dict): raise ValueError(f"Invalid data for McpApprovalMode: {data}") @@ -66,7 +67,9 @@ def load(data: Any, context: LoadContext | None = None) -> "McpApprovalMode": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the McpApprovalMode instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -78,6 +81,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.kind is not None: @@ -91,7 +95,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the McpApprovalMode instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -103,7 +107,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the McpApprovalMode instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -115,3 +119,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Message.py b/runtime/python/prompty/prompty/model/_Message.py new file mode 100644 index 00000000..84e4457f --- /dev/null +++ b/runtime/python/prompty/prompty/model/_Message.py @@ -0,0 +1,161 @@ +########################################## +# WARNING: This is an auto-generated file. +# DO NOT EDIT THIS FILE DIRECTLY +# ANY EDITS WILL BE LOST +########################################## + +from dataclasses import dataclass, field +from typing import Any, ClassVar, Optional + +from ._context import LoadContext, SaveContext +from ._ContentPart import ContentPart + + + +@dataclass +class Message: + """A message in a conversation. Messages have a role and a list of content parts + representing the different modalities of the message content. + + Attributes + ---------- + role : str + The role of the message sender + parts : list[ContentPart] + The content parts of the message + metadata : Optional[dict[str, Any]] + Optional metadata associated with the message + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + role: str = field(default="") + parts: list[ContentPart] = field(default_factory=list) + metadata: Optional[dict[str, Any]] = None + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "Message": + """Load a Message instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + Message: The loaded Message instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for Message: {data}") + + # create new instance + instance = Message() + + if data is not None and "role" in data: + instance.role = data["role"] + if data is not None and "parts" in data: + instance.parts = Message.load_parts(data["parts"], context) + if data is not None and "metadata" in data: + instance.metadata = data["metadata"] + if context is not None: + instance = context.process_output(instance) + return instance + + + @staticmethod + def load_parts(data: dict | list, context: Optional[LoadContext]) -> list[ContentPart]: + if isinstance(data, dict): + # convert simple named parts to list of ContentPart + result = [] + for k, v in data.items(): + if isinstance(v, dict): + # value is an object, spread its properties + result.append({"name": k, **v}) + else: + # value is a scalar, use it as the primary property + result.append({"name": k, "kind": v}) + data = result + return [ContentPart.load(item, context) for item in data] + + @staticmethod + def save_parts(items: list[ContentPart], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + if context is None: + context = SaveContext() + + if context.collection_format == "array": + return [item.save(context) for item in items] + + # Object format: use name as key + result: dict[str, Any] = {} + for item in items: + item_data = item.save(context) + name = item_data.pop("name", None) + if name: + # Check if we can use shorthand (only primary property set) + if context.use_shorthand and hasattr(item, '_shorthand_property'): + shorthand_prop = item._shorthand_property + if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: + result[name] = item_data[shorthand_prop] + continue + result[name] = item_data + else: + # No name, fall back to array format for this item + if "_unnamed" not in result: + result["_unnamed"] = [] + result["_unnamed"].append(item_data) + return result + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the Message instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + result: dict[str, Any] = {} + + if obj.role is not None: + result["role"] = obj.role + if obj.parts is not None: + result["parts"] = Message.save_parts(obj.parts, context) + if obj.metadata is not None: + result["metadata"] = obj.metadata + + if context is not None: + result = context.process_dict(result) + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the Message instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the Message instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Model.py b/runtime/python/prompty/prompty/model/_Model.py index d1f57eef..28f042b9 100644 --- a/runtime/python/prompty/prompty/model/_Model.py +++ b/runtime/python/prompty/prompty/model/_Model.py @@ -5,19 +5,20 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional -from ._Connection import Connection from ._context import LoadContext, SaveContext +from ._Connection import Connection from ._ModelOptions import ModelOptions + @dataclass class Model: """Model for defining the structure and behavior of AI agents. This model includes properties for specifying the model's provider, connection details, and various options. It allows for flexible configuration of AI models to suit different use cases and requirements. - + Attributes ---------- id : str @@ -32,16 +33,16 @@ class Model: Additional options for the model """ - _shorthand_property: ClassVar[str | None] = "id" + _shorthand_property: ClassVar[Optional[str]] = "id" id: str = field(default="") - provider: str | None = None - apiType: str | None = None - connection: Connection | None = None - options: ModelOptions | None = None + provider: Optional[str] = None + apiType: Optional[str] = None + connection: Optional[Connection] = None + options: Optional[ModelOptions] = None @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "Model": + def load(data: Any, context: Optional[LoadContext] = None) -> "Model": """Load a Model instance. Args: data (Any): The data to load the instance from. @@ -53,11 +54,11 @@ def load(data: Any, context: LoadContext | None = None) -> "Model": if context is not None: data = context.process_input(data) - + # handle alternate representations if isinstance(data, str): data = {"id": data} - + if not isinstance(data, dict): raise ValueError(f"Invalid data for Model: {data}") @@ -78,7 +79,9 @@ def load(data: Any, context: LoadContext | None = None) -> "Model": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the Model instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -90,6 +93,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.id is not None: @@ -107,7 +111,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the Model instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -119,7 +123,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the Model instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -131,3 +135,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ModelInfo.py b/runtime/python/prompty/prompty/model/_ModelInfo.py new file mode 100644 index 00000000..a9d5bf22 --- /dev/null +++ b/runtime/python/prompty/prompty/model/_ModelInfo.py @@ -0,0 +1,149 @@ +########################################## +# WARNING: This is an auto-generated file. +# DO NOT EDIT THIS FILE DIRECTLY +# ANY EDITS WILL BE LOST +########################################## + +from dataclasses import dataclass, field +from typing import Any, ClassVar, Optional + +from ._context import LoadContext, SaveContext + + + +@dataclass +class ModelInfo: + """Information about a model available from a provider. Used by provider-level + model discovery to report which models are available and their capabilities. + + Not all providers return all fields — implementations SHOULD populate as + many fields as the provider's API supports and MAY enrich sparse results + from a built-in lookup table of known models. + + Attributes + ---------- + id : str + The model identifier (e.g., 'gpt-4o', 'claude-3-opus') + displayName : Optional[str] + Human-readable display name + ownedBy : Optional[str] + The organization or entity that owns the model + contextWindow : Optional[int] + Maximum context window size in tokens + inputModalities : list[str] + Input modalities the model accepts (e.g., 'text', 'image', 'audio') + outputModalities : list[str] + Output modalities the model can produce (e.g., 'text', 'audio') + additionalProperties : Optional[dict[str, Any]] + Additional provider-specific properties + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + id: str = field(default="") + displayName: Optional[str] = None + ownedBy: Optional[str] = None + contextWindow: Optional[int] = None + inputModalities: list[str] = field(default_factory=list) + outputModalities: list[str] = field(default_factory=list) + additionalProperties: Optional[dict[str, Any]] = None + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "ModelInfo": + """Load a ModelInfo instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + ModelInfo: The loaded ModelInfo instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for ModelInfo: {data}") + + # create new instance + instance = ModelInfo() + + if data is not None and "id" in data: + instance.id = data["id"] + if data is not None and "displayName" in data: + instance.displayName = data["displayName"] + if data is not None and "ownedBy" in data: + instance.ownedBy = data["ownedBy"] + if data is not None and "contextWindow" in data: + instance.contextWindow = data["contextWindow"] + if data is not None and "inputModalities" in data: + instance.inputModalities = data["inputModalities"] + if data is not None and "outputModalities" in data: + instance.outputModalities = data["outputModalities"] + if data is not None and "additionalProperties" in data: + instance.additionalProperties = data["additionalProperties"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the ModelInfo instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + result: dict[str, Any] = {} + + if obj.id is not None: + result["id"] = obj.id + if obj.displayName is not None: + result["displayName"] = obj.displayName + if obj.ownedBy is not None: + result["ownedBy"] = obj.ownedBy + if obj.contextWindow is not None: + result["contextWindow"] = obj.contextWindow + if obj.inputModalities is not None: + result["inputModalities"] = obj.inputModalities + if obj.outputModalities is not None: + result["outputModalities"] = obj.outputModalities + if obj.additionalProperties is not None: + result["additionalProperties"] = obj.additionalProperties + + if context is not None: + result = context.process_dict(result) + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the ModelInfo instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the ModelInfo instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ModelOptions.py b/runtime/python/prompty/prompty/model/_ModelOptions.py index c1c23fbf..accbad39 100644 --- a/runtime/python/prompty/prompty/model/_ModelOptions.py +++ b/runtime/python/prompty/prompty/model/_ModelOptions.py @@ -5,15 +5,16 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional from ._context import LoadContext, SaveContext + @dataclass class ModelOptions: """Options for configuring the behavior of the AI model. - + Attributes ---------- frequencyPenalty : Optional[float] @@ -38,21 +39,21 @@ class ModelOptions: Additional custom properties for model options """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None - frequencyPenalty: float | None = None - maxOutputTokens: int | None = None - presencePenalty: float | None = None - seed: int | None = None - temperature: float | None = None - topK: int | None = None - topP: float | None = None + frequencyPenalty: Optional[float] = None + maxOutputTokens: Optional[int] = None + presencePenalty: Optional[float] = None + seed: Optional[int] = None + temperature: Optional[float] = None + topK: Optional[int] = None + topP: Optional[float] = None stopSequences: list[str] = field(default_factory=list) - allowMultipleToolCalls: bool | None = None - additionalProperties: dict[str, Any] | None = None + allowMultipleToolCalls: Optional[bool] = None + additionalProperties: Optional[dict[str, Any]] = None @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "ModelOptions": + def load(data: Any, context: Optional[LoadContext] = None) -> "ModelOptions": """Load a ModelOptions instance. Args: data (Any): The data to load the instance from. @@ -64,7 +65,7 @@ def load(data: Any, context: LoadContext | None = None) -> "ModelOptions": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for ModelOptions: {data}") @@ -95,7 +96,9 @@ def load(data: Any, context: LoadContext | None = None) -> "ModelOptions": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the ModelOptions instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -107,6 +110,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.frequencyPenalty is not None: @@ -134,7 +138,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the ModelOptions instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -146,7 +150,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the ModelOptions instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -158,3 +162,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ParserConfig.py b/runtime/python/prompty/prompty/model/_ParserConfig.py index 47510422..60979115 100644 --- a/runtime/python/prompty/prompty/model/_ParserConfig.py +++ b/runtime/python/prompty/prompty/model/_ParserConfig.py @@ -5,15 +5,16 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional from ._context import LoadContext, SaveContext + @dataclass class ParserConfig: """Template parser definition - + Attributes ---------- kind : str @@ -22,13 +23,13 @@ class ParserConfig: Options for the parser """ - _shorthand_property: ClassVar[str | None] = "kind" + _shorthand_property: ClassVar[Optional[str]] = "kind" kind: str = field(default="*") - options: dict[str, Any] | None = None + options: Optional[dict[str, Any]] = None @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "ParserConfig": + def load(data: Any, context: Optional[LoadContext] = None) -> "ParserConfig": """Load a ParserConfig instance. Args: data (Any): The data to load the instance from. @@ -40,11 +41,11 @@ def load(data: Any, context: LoadContext | None = None) -> "ParserConfig": if context is not None: data = context.process_input(data) - + # handle alternate representations if isinstance(data, str): data = {"kind": data} - + if not isinstance(data, dict): raise ValueError(f"Invalid data for ParserConfig: {data}") @@ -59,7 +60,9 @@ def load(data: Any, context: LoadContext | None = None) -> "ParserConfig": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the ParserConfig instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -71,6 +74,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.kind is not None: @@ -82,7 +86,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the ParserConfig instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -94,7 +98,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the ParserConfig instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -106,3 +110,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Prompty.py b/runtime/python/prompty/prompty/model/_Prompty.py index 877db419..81e550cd 100644 --- a/runtime/python/prompty/prompty/model/_Prompty.py +++ b/runtime/python/prompty/prompty/model/_Prompty.py @@ -5,7 +5,7 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional from ._context import LoadContext, SaveContext from ._Model import Model @@ -14,15 +14,16 @@ from ._Tool import Tool + @dataclass class Prompty: """A Prompty is a markdown file format for LLM prompts. The frontmatter defines structured metadata including model configuration, input/output schemas, tools, and template settings. The markdown body becomes the instructions. - + This is the single root type for the Prompty schema — there is no abstract base class or kind discriminator. A .prompty file always produces a Prompty instance. - + Attributes ---------- name : str @@ -47,21 +48,21 @@ class or kind discriminator. A .prompty file always produces a Prompty instance. Clear directions on what the prompt should do. In .prompty files, this comes from the markdown body. """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None name: str = field(default="") - displayName: str | None = None - description: str | None = None - metadata: dict[str, Any] | None = None + displayName: Optional[str] = None + description: Optional[str] = None + metadata: Optional[dict[str, Any]] = None inputs: list[Property] = field(default_factory=list) outputs: list[Property] = field(default_factory=list) model: Model = field(default_factory=Model) tools: list[Tool] = field(default_factory=list) - template: Template | None = None - instructions: str | None = None + template: Optional[Template] = None + instructions: Optional[str] = None @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "Prompty": + def load(data: Any, context: Optional[LoadContext] = None) -> "Prompty": """Load a Prompty instance. Args: data (Any): The data to load the instance from. @@ -73,7 +74,7 @@ def load(data: Any, context: LoadContext | None = None) -> "Prompty": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for Prompty: {data}") @@ -104,8 +105,9 @@ def load(data: Any, context: LoadContext | None = None) -> "Prompty": instance = context.process_output(instance) return instance + @staticmethod - def load_inputs(data: dict | list, context: LoadContext | None) -> list[Property]: + def load_inputs(data: dict | list, context: Optional[LoadContext]) -> list[Property]: if isinstance(data, dict): # convert simple named inputs to list of Property result = [] @@ -120,7 +122,7 @@ def load_inputs(data: dict | list, context: LoadContext | None) -> list[Property return [Property.load(item, context) for item in data] @staticmethod - def save_inputs(items: list[Property], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: + def save_inputs(items: list[Property], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() @@ -134,7 +136,7 @@ def save_inputs(items: list[Property], context: SaveContext | None) -> dict[str, name = item_data.pop("name", None) if name: # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, "_shorthand_property"): + if context.use_shorthand and hasattr(item, '_shorthand_property'): shorthand_prop = item._shorthand_property if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: result[name] = item_data[shorthand_prop] @@ -148,7 +150,7 @@ def save_inputs(items: list[Property], context: SaveContext | None) -> dict[str, return result @staticmethod - def load_outputs(data: dict | list, context: LoadContext | None) -> list[Property]: + def load_outputs(data: dict | list, context: Optional[LoadContext]) -> list[Property]: if isinstance(data, dict): # convert simple named outputs to list of Property result = [] @@ -163,7 +165,7 @@ def load_outputs(data: dict | list, context: LoadContext | None) -> list[Propert return [Property.load(item, context) for item in data] @staticmethod - def save_outputs(items: list[Property], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: + def save_outputs(items: list[Property], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() @@ -177,7 +179,7 @@ def save_outputs(items: list[Property], context: SaveContext | None) -> dict[str name = item_data.pop("name", None) if name: # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, "_shorthand_property"): + if context.use_shorthand and hasattr(item, '_shorthand_property'): shorthand_prop = item._shorthand_property if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: result[name] = item_data[shorthand_prop] @@ -191,7 +193,7 @@ def save_outputs(items: list[Property], context: SaveContext | None) -> dict[str return result @staticmethod - def load_tools(data: dict | list, context: LoadContext | None) -> list[Tool]: + def load_tools(data: dict | list, context: Optional[LoadContext]) -> list[Tool]: if isinstance(data, dict): # convert simple named tools to list of Tool result = [] @@ -206,7 +208,7 @@ def load_tools(data: dict | list, context: LoadContext | None) -> list[Tool]: return [Tool.load(item, context) for item in data] @staticmethod - def save_tools(items: list[Tool], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: + def save_tools(items: list[Tool], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() @@ -220,7 +222,7 @@ def save_tools(items: list[Tool], context: SaveContext | None) -> dict[str, Any] name = item_data.pop("name", None) if name: # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, "_shorthand_property"): + if context.use_shorthand and hasattr(item, '_shorthand_property'): shorthand_prop = item._shorthand_property if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: result[name] = item_data[shorthand_prop] @@ -233,7 +235,8 @@ def save_tools(items: list[Tool], context: SaveContext | None) -> dict[str, Any] result["_unnamed"].append(item_data) return result - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the Prompty instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -245,6 +248,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.name is not None: @@ -272,7 +276,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the Prompty instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -284,7 +288,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the Prompty instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -296,3 +300,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Property.py b/runtime/python/prompty/prompty/model/_Property.py index 7e2f8270..d1498a65 100644 --- a/runtime/python/prompty/prompty/model/_Property.py +++ b/runtime/python/prompty/prompty/model/_Property.py @@ -5,20 +5,21 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional from ._context import LoadContext, SaveContext + @dataclass class Property: """Represents a single property. - + - This model defines the structure of properties that can be used in prompts, including their type, description, whether they are required, and other attributes. - It allows for the definition of dynamic inputs that can be filled with data and processed to generate prompts for AI models. - + Attributes ---------- name : str @@ -37,18 +38,18 @@ class Property: Allowed enumeration values for the property """ - _shorthand_property: ClassVar[str | None] = "example" + _shorthand_property: ClassVar[Optional[str]] = "example" name: str = field(default="") kind: str = field(default="") - description: str | None = None - required: bool | None = None - default: Any | None = None - example: Any | None = None + description: Optional[str] = None + required: Optional[bool] = None + default: Optional[Any] = None + example: Optional[Any] = None enumValues: list[Any] = field(default_factory=list) @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "Property": + def load(data: Any, context: Optional[LoadContext] = None) -> "Property": """Load a Property instance. Args: data (Any): The data to load the instance from. @@ -60,23 +61,24 @@ def load(data: Any, context: LoadContext | None = None) -> "Property": if context is not None: data = context.process_input(data) - + # handle alternate representations if isinstance(data, bool): - data = {"kind": "boolean", "example": data} + data = {"kind":"boolean","example": data} if isinstance(data, float): - data = {"kind": "float", "example": data} + data = {"kind":"float","example": data} if isinstance(data, int): - data = {"kind": "integer", "example": data} + data = {"kind":"integer","example": data} if isinstance(data, str): - data = {"kind": "string", "example": data} - + data = {"kind":"string","example": data} + if not isinstance(data, dict): raise ValueError(f"Invalid data for Property: {data}") # load polymorphic Property instance instance = Property.load_kind(data, context) + if data is not None and "name" in data: instance.name = data["name"] if data is not None and "kind" in data: @@ -95,8 +97,10 @@ def load(data: Any, context: LoadContext | None = None) -> "Property": instance = context.process_output(instance) return instance + + @staticmethod - def load_kind(data: dict, context: LoadContext | None) -> "Property": + def load_kind(data: dict, context: Optional[LoadContext]) -> "Property": # load polymorphic Property instance if data is not None and "kind" in data: discriminator_value = str(data["kind"]).lower() @@ -106,14 +110,17 @@ def load_kind(data: dict, context: LoadContext | None) -> "Property": return ObjectProperty.load(data, context) else: + # create new instance (stop recursion) return Property() + else: + # create new instance return Property() - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the Property instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -125,6 +132,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.name is not None: @@ -146,7 +154,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the Property instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -158,7 +166,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the Property instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -176,22 +184,22 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: class ArrayProperty(Property): """Represents an array property. This extends the base Property model to represent an array of items. - + Attributes ---------- kind : str - + items : Property The type of items contained in the array """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="array") items: Property = field(default_factory=Property) @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "ArrayProperty": + def load(data: Any, context: Optional[LoadContext] = None) -> "ArrayProperty": """Load a ArrayProperty instance. Args: data (Any): The data to load the instance from. @@ -203,7 +211,7 @@ def load(data: Any, context: LoadContext | None = None) -> "ArrayProperty": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for ArrayProperty: {data}") @@ -218,7 +226,9 @@ def load(data: Any, context: LoadContext | None = None) -> "ArrayProperty": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the ArrayProperty instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -230,9 +240,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.items is not None: @@ -240,7 +252,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the ArrayProperty instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -252,7 +264,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the ArrayProperty instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -270,22 +282,22 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: class ObjectProperty(Property): """Represents an object property. This extends the base Property model to represent a structured object. - + Attributes ---------- kind : str - + properties : list[Property] The properties contained in the object """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="object") properties: list[Property] = field(default_factory=list) @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "ObjectProperty": + def load(data: Any, context: Optional[LoadContext] = None) -> "ObjectProperty": """Load a ObjectProperty instance. Args: data (Any): The data to load the instance from. @@ -297,7 +309,7 @@ def load(data: Any, context: LoadContext | None = None) -> "ObjectProperty": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for ObjectProperty: {data}") @@ -312,8 +324,9 @@ def load(data: Any, context: LoadContext | None = None) -> "ObjectProperty": instance = context.process_output(instance) return instance + @staticmethod - def load_properties(data: dict | list, context: LoadContext | None) -> list[Property]: + def load_properties(data: dict | list, context: Optional[LoadContext]) -> list[Property]: if isinstance(data, dict): # convert simple named properties to list of Property result = [] @@ -328,7 +341,7 @@ def load_properties(data: dict | list, context: LoadContext | None) -> list[Prop return [Property.load(item, context) for item in data] @staticmethod - def save_properties(items: list[Property], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: + def save_properties(items: list[Property], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() @@ -342,7 +355,7 @@ def save_properties(items: list[Property], context: SaveContext | None) -> dict[ name = item_data.pop("name", None) if name: # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, "_shorthand_property"): + if context.use_shorthand and hasattr(item, '_shorthand_property'): shorthand_prop = item._shorthand_property if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: result[name] = item_data[shorthand_prop] @@ -355,7 +368,8 @@ def save_properties(items: list[Property], context: SaveContext | None) -> dict[ result["_unnamed"].append(item_data) return result - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the ObjectProperty instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -367,9 +381,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.properties is not None: @@ -377,7 +393,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the ObjectProperty instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -389,7 +405,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the ObjectProperty instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -401,3 +417,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_StreamChunk.py b/runtime/python/prompty/prompty/model/_StreamChunk.py new file mode 100644 index 00000000..c50b3be9 --- /dev/null +++ b/runtime/python/prompty/prompty/model/_StreamChunk.py @@ -0,0 +1,515 @@ +########################################## +# WARNING: This is an auto-generated file. +# DO NOT EDIT THIS FILE DIRECTLY +# ANY EDITS WILL BE LOST +########################################## + +from abc import ABC +from dataclasses import dataclass, field +from typing import Any, ClassVar, Optional + +from ._context import LoadContext, SaveContext +from ._ToolCall import ToolCall + + + +@dataclass +class StreamChunk(ABC): + """A chunk of data from a streaming LLM response. Stream chunks are + discriminated on the `kind` field. + + Attributes + ---------- + kind : str + The kind of stream chunk + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + kind: str = field(default="") + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "StreamChunk": + """Load a StreamChunk instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + StreamChunk: The loaded StreamChunk instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for StreamChunk: {data}") + + # load polymorphic StreamChunk instance + instance = StreamChunk.load_kind(data, context) + + + if data is not None and "kind" in data: + instance.kind = data["kind"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + @staticmethod + def load_kind(data: dict, context: Optional[LoadContext]) -> "StreamChunk": + # load polymorphic StreamChunk instance + if data is not None and "kind" in data: + discriminator_value = str(data["kind"]).lower() + if discriminator_value == "text": + return TextChunk.load(data, context) + elif discriminator_value == "thinking": + return ThinkingChunk.load(data, context) + elif discriminator_value == "tool": + return ToolChunk.load(data, context) + elif discriminator_value == "error": + return ErrorChunk.load(data, context) + + else: + raise ValueError(f"Unknown StreamChunk discriminator value: {discriminator_value}") + else: + + raise ValueError("Missing StreamChunk discriminator property: 'kind'") + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the StreamChunk instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + result: dict[str, Any] = {} + + if obj.kind is not None: + result["kind"] = obj.kind + + if context is not None: + result = context.process_dict(result) + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the StreamChunk instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the StreamChunk instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + + +@dataclass +class TextChunk(StreamChunk): + """A text content chunk from the LLM response stream. + + Attributes + ---------- + kind : str + The kind identifier for text chunks + value : str + The text content of the chunk + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + kind: str = field(default="text") + value: str = field(default="") + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "TextChunk": + """Load a TextChunk instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + TextChunk: The loaded TextChunk instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for TextChunk: {data}") + + # create new instance + instance = TextChunk() + + if data is not None and "kind" in data: + instance.kind = data["kind"] + if data is not None and "value" in data: + instance.value = data["value"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the TextChunk instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + # Start with parent class properties + result = super().save(context) + + + if obj.kind is not None: + result["kind"] = obj.kind + if obj.value is not None: + result["value"] = obj.value + + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the TextChunk instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the TextChunk instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + + +@dataclass +class ThinkingChunk(StreamChunk): + """A thinking/reasoning content chunk from the LLM response stream. + + Attributes + ---------- + kind : str + The kind identifier for thinking chunks + value : str + The thinking content of the chunk + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + kind: str = field(default="thinking") + value: str = field(default="") + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "ThinkingChunk": + """Load a ThinkingChunk instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + ThinkingChunk: The loaded ThinkingChunk instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for ThinkingChunk: {data}") + + # create new instance + instance = ThinkingChunk() + + if data is not None and "kind" in data: + instance.kind = data["kind"] + if data is not None and "value" in data: + instance.value = data["value"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the ThinkingChunk instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + # Start with parent class properties + result = super().save(context) + + + if obj.kind is not None: + result["kind"] = obj.kind + if obj.value is not None: + result["value"] = obj.value + + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the ThinkingChunk instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the ThinkingChunk instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + + +@dataclass +class ToolChunk(StreamChunk): + """A tool call chunk from the LLM response stream. + + Attributes + ---------- + kind : str + The kind identifier for tool chunks + toolCall : ToolCall + The tool call data + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + kind: str = field(default="tool") + toolCall: ToolCall = field(default_factory=ToolCall) + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "ToolChunk": + """Load a ToolChunk instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + ToolChunk: The loaded ToolChunk instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for ToolChunk: {data}") + + # create new instance + instance = ToolChunk() + + if data is not None and "kind" in data: + instance.kind = data["kind"] + if data is not None and "toolCall" in data: + instance.toolCall = ToolCall.load(data["toolCall"], context) + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the ToolChunk instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + # Start with parent class properties + result = super().save(context) + + + if obj.kind is not None: + result["kind"] = obj.kind + if obj.toolCall is not None: + result["toolCall"] = obj.toolCall.save(context) + + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the ToolChunk instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the ToolChunk instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + + +@dataclass +class ErrorChunk(StreamChunk): + """An error chunk from the LLM response stream. + + Attributes + ---------- + kind : str + The kind identifier for error chunks + message : str + The error message + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + kind: str = field(default="error") + message: str = field(default="") + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "ErrorChunk": + """Load a ErrorChunk instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + ErrorChunk: The loaded ErrorChunk instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for ErrorChunk: {data}") + + # create new instance + instance = ErrorChunk() + + if data is not None and "kind" in data: + instance.kind = data["kind"] + if data is not None and "message" in data: + instance.message = data["message"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the ErrorChunk instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + # Start with parent class properties + result = super().save(context) + + + if obj.kind is not None: + result["kind"] = obj.kind + if obj.message is not None: + result["message"] = obj.message + + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the ErrorChunk instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the ErrorChunk instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Template.py b/runtime/python/prompty/prompty/model/_Template.py index 4cf9aacf..21420b56 100644 --- a/runtime/python/prompty/prompty/model/_Template.py +++ b/runtime/python/prompty/prompty/model/_Template.py @@ -5,24 +5,25 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional from ._context import LoadContext, SaveContext from ._FormatConfig import FormatConfig from ._ParserConfig import ParserConfig + @dataclass class Template: """Template model for defining prompt templates. - + This model specifies the rendering engine used for slot filling prompts, the parser used to process the rendered template into API-compatible format, and additional options for the template engine. - + It allows for the creation of reusable templates that can be filled with dynamic data and processed to generate prompts for AI models. - + Attributes ---------- format : FormatConfig @@ -31,13 +32,13 @@ class Template: Parser used to process the rendered template into API-compatible format """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None format: FormatConfig = field(default_factory=FormatConfig) parser: ParserConfig = field(default_factory=ParserConfig) @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "Template": + def load(data: Any, context: Optional[LoadContext] = None) -> "Template": """Load a Template instance. Args: data (Any): The data to load the instance from. @@ -49,7 +50,7 @@ def load(data: Any, context: LoadContext | None = None) -> "Template": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for Template: {data}") @@ -64,7 +65,9 @@ def load(data: Any, context: LoadContext | None = None) -> "Template": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the Template instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -76,6 +79,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.format is not None: @@ -87,7 +91,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the Template instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -99,7 +103,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the Template instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -111,3 +115,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Tool.py b/runtime/python/prompty/prompty/model/_Tool.py index 4dca47db..ce4f9449 100644 --- a/runtime/python/prompty/prompty/model/_Tool.py +++ b/runtime/python/prompty/prompty/model/_Tool.py @@ -6,19 +6,20 @@ from abc import ABC from dataclasses import dataclass, field -from typing import Any, ClassVar +from typing import Any, ClassVar, Optional +from ._context import LoadContext, SaveContext from ._Binding import Binding from ._Connection import Connection -from ._context import LoadContext, SaveContext from ._McpApprovalMode import McpApprovalMode from ._Property import Property + @dataclass class Tool(ABC): """Represents a tool that can be used in prompts. - + Attributes ---------- name : str @@ -31,15 +32,15 @@ class Tool(ABC): Tool argument bindings to input properties """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None name: str = field(default="") kind: str = field(default="") - description: str | None = None + description: Optional[str] = None bindings: list[Binding] = field(default_factory=list) @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "Tool": + def load(data: Any, context: Optional[LoadContext] = None) -> "Tool": """Load a Tool instance. Args: data (Any): The data to load the instance from. @@ -51,13 +52,14 @@ def load(data: Any, context: LoadContext | None = None) -> "Tool": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for Tool: {data}") # load polymorphic Tool instance instance = Tool.load_kind(data, context) + if data is not None and "name" in data: instance.name = data["name"] if data is not None and "kind" in data: @@ -70,8 +72,9 @@ def load(data: Any, context: LoadContext | None = None) -> "Tool": instance = context.process_output(instance) return instance + @staticmethod - def load_bindings(data: dict | list, context: LoadContext | None) -> list[Binding]: + def load_bindings(data: dict | list, context: Optional[LoadContext]) -> list[Binding]: if isinstance(data, dict): # convert simple named bindings to list of Binding result = [] @@ -86,7 +89,7 @@ def load_bindings(data: dict | list, context: LoadContext | None) -> list[Bindin return [Binding.load(item, context) for item in data] @staticmethod - def save_bindings(items: list[Binding], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: + def save_bindings(items: list[Binding], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() @@ -100,7 +103,7 @@ def save_bindings(items: list[Binding], context: SaveContext | None) -> dict[str name = item_data.pop("name", None) if name: # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, "_shorthand_property"): + if context.use_shorthand and hasattr(item, '_shorthand_property'): shorthand_prop = item._shorthand_property if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: result[name] = item_data[shorthand_prop] @@ -113,8 +116,9 @@ def save_bindings(items: list[Binding], context: SaveContext | None) -> dict[str result["_unnamed"].append(item_data) return result + @staticmethod - def load_kind(data: dict, context: LoadContext | None) -> "Tool": + def load_kind(data: dict, context: Optional[LoadContext]) -> "Tool": # load polymorphic Tool instance if data is not None and "kind" in data: discriminator_value = str(data["kind"]).lower() @@ -128,13 +132,16 @@ def load_kind(data: dict, context: LoadContext | None) -> "Tool": return PromptyTool.load(data, context) else: + # load default instance return CustomTool.load(data, context) else: + raise ValueError("Missing Tool discriminator property: 'kind'") - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the Tool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -146,6 +153,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + result: dict[str, Any] = {} if obj.name is not None: @@ -161,7 +169,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the Tool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -173,7 +181,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the Tool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -190,7 +198,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: @dataclass class FunctionTool(Tool): """Represents a local function tool. - + Attributes ---------- kind : str @@ -201,14 +209,14 @@ class FunctionTool(Tool): Indicates whether the function tool enforces strict validation on its parameters """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="function") parameters: list[Property] = field(default_factory=list) - strict: bool | None = None + strict: Optional[bool] = None @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "FunctionTool": + def load(data: Any, context: Optional[LoadContext] = None) -> "FunctionTool": """Load a FunctionTool instance. Args: data (Any): The data to load the instance from. @@ -220,7 +228,7 @@ def load(data: Any, context: LoadContext | None = None) -> "FunctionTool": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for FunctionTool: {data}") @@ -237,8 +245,9 @@ def load(data: Any, context: LoadContext | None = None) -> "FunctionTool": instance = context.process_output(instance) return instance + @staticmethod - def load_parameters(data: dict | list, context: LoadContext | None) -> list[Property]: + def load_parameters(data: dict | list, context: Optional[LoadContext]) -> list[Property]: if isinstance(data, dict): # convert simple named parameters to list of Property result = [] @@ -253,7 +262,7 @@ def load_parameters(data: dict | list, context: LoadContext | None) -> list[Prop return [Property.load(item, context) for item in data] @staticmethod - def save_parameters(items: list[Property], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: + def save_parameters(items: list[Property], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() @@ -267,7 +276,7 @@ def save_parameters(items: list[Property], context: SaveContext | None) -> dict[ name = item_data.pop("name", None) if name: # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, "_shorthand_property"): + if context.use_shorthand and hasattr(item, '_shorthand_property'): shorthand_prop = item._shorthand_property if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: result[name] = item_data[shorthand_prop] @@ -280,7 +289,8 @@ def save_parameters(items: list[Property], context: SaveContext | None) -> dict[ result["_unnamed"].append(item_data) return result - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the FunctionTool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -292,9 +302,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.parameters is not None: @@ -304,7 +316,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the FunctionTool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -316,7 +328,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the FunctionTool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -337,7 +349,7 @@ class CustomTool(Tool): It may include features such as authentication, data storage, and long-running processes This tool kind is ideal for tasks that involve complex computations or access to secure resources Server tools can be used to offload heavy processing from client applications - + Attributes ---------- kind : str @@ -348,14 +360,14 @@ class CustomTool(Tool): Configuration options for the server tool """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="*") connection: Connection = field(default_factory=Connection) options: dict[str, Any] = field(default_factory=dict) @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "CustomTool": + def load(data: Any, context: Optional[LoadContext] = None) -> "CustomTool": """Load a CustomTool instance. Args: data (Any): The data to load the instance from. @@ -367,7 +379,7 @@ def load(data: Any, context: LoadContext | None = None) -> "CustomTool": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for CustomTool: {data}") @@ -384,7 +396,9 @@ def load(data: Any, context: LoadContext | None = None) -> "CustomTool": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the CustomTool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -396,9 +410,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.connection is not None: @@ -408,7 +424,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the CustomTool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -420,7 +436,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the CustomTool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -437,7 +453,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: @dataclass class McpTool(Tool): """The MCP Server tool. - + Attributes ---------- kind : str @@ -454,17 +470,17 @@ class McpTool(Tool): List of allowed operations or resources for the MCP tool """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="mcp") connection: Connection = field(default_factory=Connection) serverName: str = field(default="") - serverDescription: str | None = None + serverDescription: Optional[str] = None approvalMode: McpApprovalMode = field(default_factory=McpApprovalMode) allowedTools: list[str] = field(default_factory=list) @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "McpTool": + def load(data: Any, context: Optional[LoadContext] = None) -> "McpTool": """Load a McpTool instance. Args: data (Any): The data to load the instance from. @@ -476,7 +492,7 @@ def load(data: Any, context: LoadContext | None = None) -> "McpTool": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for McpTool: {data}") @@ -499,7 +515,9 @@ def load(data: Any, context: LoadContext | None = None) -> "McpTool": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the McpTool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -511,9 +529,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.connection is not None: @@ -529,7 +549,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the McpTool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -541,7 +561,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the McpTool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -558,7 +578,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: @dataclass class OpenApiTool(Tool): """ - + Attributes ---------- kind : str @@ -569,14 +589,14 @@ class OpenApiTool(Tool): The full OpenAPI specification """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="openapi") connection: Connection = field(default_factory=Connection) specification: str = field(default="") @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "OpenApiTool": + def load(data: Any, context: Optional[LoadContext] = None) -> "OpenApiTool": """Load a OpenApiTool instance. Args: data (Any): The data to load the instance from. @@ -588,7 +608,7 @@ def load(data: Any, context: LoadContext | None = None) -> "OpenApiTool": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for OpenApiTool: {data}") @@ -605,7 +625,9 @@ def load(data: Any, context: LoadContext | None = None) -> "OpenApiTool": instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the OpenApiTool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -617,9 +639,11 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.connection is not None: @@ -629,7 +653,7 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the OpenApiTool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -641,7 +665,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the OpenApiTool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -658,28 +682,28 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: @dataclass class PromptyTool(Tool): """A tool that references another .prompty file to be invoked as a tool. - - In `single` mode, the child prompty is executed with a single LLM call. - In `agentic` mode, the child prompty runs a full agent loop with its own tools. - + + PromptyTool is always single-shot — the child prompty is loaded, rendered, + and executed with a single LLM call (invoke). It does NOT run an agent loop. + + Applications that need agentic sub-agent delegation should register + `kind: function` tools that internally call `turn()` with their own TurnOptions. + Attributes ---------- kind : str The kind identifier for prompty tools path : str Path to the child .prompty file, relative to the parent - mode : str - Execution mode: 'single' for one LLM call, 'agentic' for full agent loop """ - _shorthand_property: ClassVar[str | None] = None + _shorthand_property: ClassVar[Optional[str]] = None kind: str = field(default="prompty") path: str = field(default="") - mode: str = field(default="single") @staticmethod - def load(data: Any, context: LoadContext | None = None) -> "PromptyTool": + def load(data: Any, context: Optional[LoadContext] = None) -> "PromptyTool": """Load a PromptyTool instance. Args: data (Any): The data to load the instance from. @@ -691,7 +715,7 @@ def load(data: Any, context: LoadContext | None = None) -> "PromptyTool": if context is not None: data = context.process_input(data) - + if not isinstance(data, dict): raise ValueError(f"Invalid data for PromptyTool: {data}") @@ -702,13 +726,13 @@ def load(data: Any, context: LoadContext | None = None) -> "PromptyTool": instance.kind = data["kind"] if data is not None and "path" in data: instance.path = data["path"] - if data is not None and "mode" in data: - instance.mode = data["mode"] if context is not None: instance = context.process_output(instance) return instance - def save(self, context: SaveContext | None = None) -> dict[str, Any]: + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: """Save the PromptyTool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -720,19 +744,19 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if context is not None: obj = context.process_object(obj) + # Start with parent class properties result = super().save(context) + if obj.kind is not None: result["kind"] = obj.kind if obj.path is not None: result["path"] = obj.path - if obj.mode is not None: - result["mode"] = obj.mode return result - def to_yaml(self, context: SaveContext | None = None) -> str: + def to_yaml(self, context: Optional[SaveContext] = None) -> str: """Convert the PromptyTool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -744,7 +768,7 @@ def to_yaml(self, context: SaveContext | None = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: """Convert the PromptyTool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -756,3 +780,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: if context is None: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ToolCall.py b/runtime/python/prompty/prompty/model/_ToolCall.py new file mode 100644 index 00000000..2162ffd6 --- /dev/null +++ b/runtime/python/prompty/prompty/model/_ToolCall.py @@ -0,0 +1,117 @@ +########################################## +# WARNING: This is an auto-generated file. +# DO NOT EDIT THIS FILE DIRECTLY +# ANY EDITS WILL BE LOST +########################################## + +from dataclasses import dataclass, field +from typing import Any, ClassVar, Optional + +from ._context import LoadContext, SaveContext + + + +@dataclass +class ToolCall: + """A tool call requested by the LLM. Contains the function name and serialized + arguments that should be dispatched to the appropriate tool handler. + + Attributes + ---------- + id : str + The unique identifier of the tool call + name : str + The name of the tool to call + arguments : str + The serialized JSON arguments for the tool call + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + id: str = field(default="") + name: str = field(default="") + arguments: str = field(default="") + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "ToolCall": + """Load a ToolCall instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + ToolCall: The loaded ToolCall instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for ToolCall: {data}") + + # create new instance + instance = ToolCall() + + if data is not None and "id" in data: + instance.id = data["id"] + if data is not None and "name" in data: + instance.name = data["name"] + if data is not None and "arguments" in data: + instance.arguments = data["arguments"] + if context is not None: + instance = context.process_output(instance) + return instance + + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the ToolCall instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + result: dict[str, Any] = {} + + if obj.id is not None: + result["id"] = obj.id + if obj.name is not None: + result["name"] = obj.name + if obj.arguments is not None: + result["arguments"] = obj.arguments + + if context is not None: + result = context.process_dict(result) + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the ToolCall instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the ToolCall instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ToolResult.py b/runtime/python/prompty/prompty/model/_ToolResult.py new file mode 100644 index 00000000..06468b81 --- /dev/null +++ b/runtime/python/prompty/prompty/model/_ToolResult.py @@ -0,0 +1,150 @@ +########################################## +# WARNING: This is an auto-generated file. +# DO NOT EDIT THIS FILE DIRECTLY +# ANY EDITS WILL BE LOST +########################################## + +from dataclasses import dataclass, field +from typing import Any, ClassVar, Optional + +from ._context import LoadContext, SaveContext +from ._ContentPart import ContentPart + + + +@dataclass +class ToolResult: + """The result of a tool execution. Contains a list of content parts, enabling + rich tool results (text, images, files, audio) rather than just strings. + + Implementations MUST support conversion from a plain string to a ToolResult + containing a single TextPart for backward compatibility. + + Attributes + ---------- + parts : list[ContentPart] + The content parts of the tool result + """ + + _shorthand_property: ClassVar[Optional[str]] = None + + parts: list[ContentPart] = field(default_factory=list) + + @staticmethod + def load(data: Any, context: Optional[LoadContext] = None) -> "ToolResult": + """Load a ToolResult instance. + Args: + data (Any): The data to load the instance from. + context (Optional[LoadContext]): Optional context with pre/post processing callbacks. + Returns: + ToolResult: The loaded ToolResult instance. + + """ + + if context is not None: + data = context.process_input(data) + + if not isinstance(data, dict): + raise ValueError(f"Invalid data for ToolResult: {data}") + + # create new instance + instance = ToolResult() + + if data is not None and "parts" in data: + instance.parts = ToolResult.load_parts(data["parts"], context) + if context is not None: + instance = context.process_output(instance) + return instance + + + @staticmethod + def load_parts(data: dict | list, context: Optional[LoadContext]) -> list[ContentPart]: + if isinstance(data, dict): + # convert simple named parts to list of ContentPart + result = [] + for k, v in data.items(): + if isinstance(v, dict): + # value is an object, spread its properties + result.append({"name": k, **v}) + else: + # value is a scalar, use it as the primary property + result.append({"name": k, "kind": v}) + data = result + return [ContentPart.load(item, context) for item in data] + + @staticmethod + def save_parts(items: list[ContentPart], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + if context is None: + context = SaveContext() + + if context.collection_format == "array": + return [item.save(context) for item in items] + + # Object format: use name as key + result: dict[str, Any] = {} + for item in items: + item_data = item.save(context) + name = item_data.pop("name", None) + if name: + # Check if we can use shorthand (only primary property set) + if context.use_shorthand and hasattr(item, '_shorthand_property'): + shorthand_prop = item._shorthand_property + if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: + result[name] = item_data[shorthand_prop] + continue + result[name] = item_data + else: + # No name, fall back to array format for this item + if "_unnamed" not in result: + result["_unnamed"] = [] + result["_unnamed"].append(item_data) + return result + + + def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + """Save the ToolResult instance to a dictionary. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + dict[str, Any]: The dictionary representation of this instance. + + """ + obj = self + if context is not None: + obj = context.process_object(obj) + + + result: dict[str, Any] = {} + + if obj.parts is not None: + result["parts"] = ToolResult.save_parts(obj.parts, context) + + if context is not None: + result = context.process_dict(result) + return result + + def to_yaml(self, context: Optional[SaveContext] = None) -> str: + """Convert the ToolResult instance to a YAML string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + Returns: + str: The YAML string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_yaml(self.save(context)) + + def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + """Convert the ToolResult instance to a JSON string. + Args: + context (Optional[SaveContext]): Optional context with pre/post processing callbacks. + indent (int): Number of spaces for indentation. Defaults to 2. + Returns: + str: The JSON string representation of this instance. + + """ + if context is None: + context = SaveContext() + return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/__init__.py b/runtime/python/prompty/prompty/model/__init__.py index f06bd034..e57e4f32 100644 --- a/runtime/python/prompty/prompty/model/__init__.py +++ b/runtime/python/prompty/prompty/model/__init__.py @@ -1,28 +1,95 @@ + ########################################## # WARNING: This is an auto-generated file. # DO NOT EDIT THIS FILE DIRECTLY # ANY EDITS WILL BE LOST ########################################## -from ._Binding import Binding +from ._context import LoadContext, SaveContext + +from ._Property import ( + Property, + ArrayProperty, + ObjectProperty +) + + from ._Connection import ( - AnonymousConnection, - ApiKeyConnection, - Connection, - FoundryConnection, - OAuthConnection, - ReferenceConnection, - RemoteConnection, + Connection, + ReferenceConnection, + RemoteConnection, + ApiKeyConnection, + AnonymousConnection, + FoundryConnection, + OAuthConnection ) -from ._context import LoadContext, SaveContext -from ._FormatConfig import FormatConfig -from ._McpApprovalMode import McpApprovalMode -from ._Model import Model + + from ._ModelOptions import ModelOptions + + +from ._Model import Model + + +from ._Binding import Binding + + +from ._Tool import ( + Tool, + FunctionTool, + CustomTool, + McpTool, + OpenApiTool, + PromptyTool +) + + +from ._McpApprovalMode import McpApprovalMode + + +from ._FormatConfig import FormatConfig + + from ._ParserConfig import ParserConfig -from ._Prompty import Prompty -from ._Property import ArrayProperty, ObjectProperty, Property + + from ._Template import Template -from ._Tool import CustomTool, FunctionTool, McpTool, OpenApiTool, PromptyTool, Tool + + +from ._Prompty import Prompty + + +from ._ContentPart import ( + ContentPart, + TextPart, + ImagePart, + FilePart, + AudioPart +) + + +from ._Message import Message + + +from ._ToolCall import ToolCall + + +from ._ToolResult import ToolResult + + +from ._StreamChunk import ( + StreamChunk, + TextChunk, + ThinkingChunk, + ToolChunk, + ErrorChunk +) + + +from ._GuardrailResult import GuardrailResult + + +from ._ModelInfo import ModelInfo + __all__ = [ "LoadContext", @@ -51,4 +118,19 @@ "ParserConfig", "Template", "Prompty", + "ContentPart", + "TextPart", + "ImagePart", + "FilePart", + "AudioPart", + "Message", + "ToolCall", + "ToolResult", + "StreamChunk", + "TextChunk", + "ThinkingChunk", + "ToolChunk", + "ErrorChunk", + "GuardrailResult", + "ModelInfo", ] diff --git a/runtime/python/prompty/prompty/model/_context.py b/runtime/python/prompty/prompty/model/_context.py index 961fd708..b023b67a 100644 --- a/runtime/python/prompty/prompty/model/_context.py +++ b/runtime/python/prompty/prompty/model/_context.py @@ -1,8 +1,9 @@ + + # Prompty LoadContext import json -from collections.abc import Callable from dataclasses import dataclass -from typing import Any +from typing import Any, Callable, Optional import yaml @@ -16,10 +17,10 @@ class LoadContext: post-processing output data after instantiation. """ - pre_process: Callable[[dict[str, Any]], dict[str, Any]] | None = None + pre_process: Optional[Callable[[dict[str, Any]], dict[str, Any]]] = None """Optional callback to transform input data before parsing.""" - post_process: Callable[[Any], Any] | None = None + post_process: Optional[Callable[[Any], Any]] = None """Optional callback to transform the result after instantiation.""" def process_input(self, data: dict[str, Any]) -> dict[str, Any]: @@ -60,10 +61,10 @@ class SaveContext: post-processing the dictionary after serialization. """ - pre_save: Callable[[Any], Any] | None = None + pre_save: Optional[Callable[[Any], Any]] = None """Optional callback to transform the object before serialization.""" - post_save: Callable[[dict[str, Any]], dict[str, Any]] | None = None + post_save: Optional[Callable[[dict[str, Any]], dict[str, Any]]] = None """Optional callback to transform the dictionary after serialization.""" collection_format: str = "object" diff --git a/runtime/python/prompty/tests/model/test_anonymous_connection.py b/runtime/python/prompty/tests/model/test_anonymous_connection.py index 9dbc7afe..be062945 100644 --- a/runtime/python/prompty/tests/model/test_anonymous_connection.py +++ b/runtime/python/prompty/tests/model/test_anonymous_connection.py @@ -1,45 +1,44 @@ -import json +import json import yaml from prompty.model import AnonymousConnection def test_load_json_anonymousconnection(): - json_data = r""" + json_data = r''' { "kind": "anonymous", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" } - """ + ''' data = json.loads(json_data, strict=False) instance = AnonymousConnection.load(data) assert instance is not None assert instance.kind == "anonymous" assert instance.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" - + def test_load_yaml_anonymousconnection(): - yaml_data = r""" + yaml_data = r''' kind: anonymous endpoint: "https://{your-custom-endpoint}.openai.azure.com/" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = AnonymousConnection.load(data) assert instance is not None assert instance.kind == "anonymous" assert instance.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" - def test_roundtrip_json_anonymousconnection(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "anonymous", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = AnonymousConnection.load(original_data) saved_data = instance.save() @@ -48,15 +47,14 @@ def test_roundtrip_json_anonymousconnection(): assert reloaded.kind == "anonymous" assert reloaded.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" - def test_to_json_anonymousconnection(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "anonymous", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" } - """ + ''' data = json.loads(json_data, strict=False) instance = AnonymousConnection.load(data) json_output = instance.to_json() @@ -64,18 +62,19 @@ def test_to_json_anonymousconnection(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_anonymousconnection(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "anonymous", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" } - """ + ''' data = json.loads(json_data, strict=False) instance = AnonymousConnection.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_api_key_connection.py b/runtime/python/prompty/tests/model/test_api_key_connection.py index 73cf55ea..e94e6a8f 100644 --- a/runtime/python/prompty/tests/model/test_api_key_connection.py +++ b/runtime/python/prompty/tests/model/test_api_key_connection.py @@ -1,33 +1,33 @@ -import json +import json import yaml from prompty.model import ApiKeyConnection def test_load_json_apikeyconnection(): - json_data = r""" + json_data = r''' { "kind": "key", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/", "apiKey": "your-api-key" } - """ + ''' data = json.loads(json_data, strict=False) instance = ApiKeyConnection.load(data) assert instance is not None assert instance.kind == "key" assert instance.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" assert instance.apiKey == "your-api-key" - + def test_load_yaml_apikeyconnection(): - yaml_data = r""" + yaml_data = r''' kind: key endpoint: "https://{your-custom-endpoint}.openai.azure.com/" apiKey: your-api-key - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = ApiKeyConnection.load(data) assert instance is not None @@ -35,16 +35,15 @@ def test_load_yaml_apikeyconnection(): assert instance.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" assert instance.apiKey == "your-api-key" - def test_roundtrip_json_apikeyconnection(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "key", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/", "apiKey": "your-api-key" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = ApiKeyConnection.load(original_data) saved_data = instance.save() @@ -54,16 +53,15 @@ def test_roundtrip_json_apikeyconnection(): assert reloaded.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" assert reloaded.apiKey == "your-api-key" - def test_to_json_apikeyconnection(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "key", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/", "apiKey": "your-api-key" } - """ + ''' data = json.loads(json_data, strict=False) instance = ApiKeyConnection.load(data) json_output = instance.to_json() @@ -71,19 +69,20 @@ def test_to_json_apikeyconnection(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_apikeyconnection(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "key", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/", "apiKey": "your-api-key" } - """ + ''' data = json.loads(json_data, strict=False) instance = ApiKeyConnection.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_array_property.py b/runtime/python/prompty/tests/model/test_array_property.py index 3f63517a..dd3b8b2f 100644 --- a/runtime/python/prompty/tests/model/test_array_property.py +++ b/runtime/python/prompty/tests/model/test_array_property.py @@ -1,59 +1,57 @@ -import json +import json import yaml from prompty.model import ArrayProperty def test_load_json_arrayproperty(): - json_data = r""" + json_data = r''' { "items": { "kind": "string" } } - """ + ''' data = json.loads(json_data, strict=False) instance = ArrayProperty.load(data) assert instance is not None - + def test_load_yaml_arrayproperty(): - yaml_data = r""" + yaml_data = r''' items: kind: string - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = ArrayProperty.load(data) assert instance is not None - def test_roundtrip_json_arrayproperty(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "items": { "kind": "string" } } - """ + ''' original_data = json.loads(json_data, strict=False) instance = ArrayProperty.load(original_data) saved_data = instance.save() reloaded = ArrayProperty.load(saved_data) assert reloaded is not None - def test_to_json_arrayproperty(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "items": { "kind": "string" } } - """ + ''' data = json.loads(json_data, strict=False) instance = ArrayProperty.load(data) json_output = instance.to_json() @@ -61,19 +59,20 @@ def test_to_json_arrayproperty(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_arrayproperty(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "items": { "kind": "string" } } - """ + ''' data = json.loads(json_data, strict=False) instance = ArrayProperty.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_audio_part.py b/runtime/python/prompty/tests/model/test_audio_part.py new file mode 100644 index 00000000..0e53e2d0 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_audio_part.py @@ -0,0 +1,80 @@ + +import json +import yaml + +from prompty.model import AudioPart + + +def test_load_json_audiopart(): + json_data = r''' + { + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" + } + ''' + data = json.loads(json_data, strict=False) + instance = AudioPart.load(data) + assert instance is not None + assert instance.source == "https://example.com/audio.wav" + assert instance.mediaType == "audio/wav" + + +def test_load_yaml_audiopart(): + yaml_data = r''' + source: "https://example.com/audio.wav" + mediaType: audio/wav + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = AudioPart.load(data) + assert instance is not None + assert instance.source == "https://example.com/audio.wav" + assert instance.mediaType == "audio/wav" + +def test_roundtrip_json_audiopart(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" + } + ''' + original_data = json.loads(json_data, strict=False) + instance = AudioPart.load(original_data) + saved_data = instance.save() + reloaded = AudioPart.load(saved_data) + assert reloaded is not None + assert reloaded.source == "https://example.com/audio.wav" + assert reloaded.mediaType == "audio/wav" + +def test_to_json_audiopart(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" + } + ''' + data = json.loads(json_data, strict=False) + instance = AudioPart.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_audiopart(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "source": "https://example.com/audio.wav", + "mediaType": "audio/wav" + } + ''' + data = json.loads(json_data, strict=False) + instance = AudioPart.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_binding.py b/runtime/python/prompty/tests/model/test_binding.py index 5726bb56..b415431c 100644 --- a/runtime/python/prompty/tests/model/test_binding.py +++ b/runtime/python/prompty/tests/model/test_binding.py @@ -1,45 +1,44 @@ -import json +import json import yaml from prompty.model import Binding def test_load_json_binding(): - json_data = r""" + json_data = r''' { "name": "my-tool", "input": "input-variable" } - """ + ''' data = json.loads(json_data, strict=False) instance = Binding.load(data) assert instance is not None assert instance.name == "my-tool" assert instance.input == "input-variable" - + def test_load_yaml_binding(): - yaml_data = r""" + yaml_data = r''' name: my-tool input: input-variable - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Binding.load(data) assert instance is not None assert instance.name == "my-tool" assert instance.input == "input-variable" - def test_roundtrip_json_binding(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "my-tool", "input": "input-variable" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Binding.load(original_data) saved_data = instance.save() @@ -48,15 +47,14 @@ def test_roundtrip_json_binding(): assert reloaded.name == "my-tool" assert reloaded.input == "input-variable" - def test_to_json_binding(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "my-tool", "input": "input-variable" } - """ + ''' data = json.loads(json_data, strict=False) instance = Binding.load(data) json_output = instance.to_json() @@ -64,15 +62,14 @@ def test_to_json_binding(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_binding(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "my-tool", "input": "input-variable" } - """ + ''' data = json.loads(json_data, strict=False) instance = Binding.load(data) yaml_output = instance.to_yaml() @@ -85,3 +82,5 @@ def test_load_binding_from_str(): instance = Binding.load("example") assert instance is not None assert instance.input == "example" + + diff --git a/runtime/python/prompty/tests/model/test_connection.py b/runtime/python/prompty/tests/model/test_connection.py index ee058346..6a5c8a43 100644 --- a/runtime/python/prompty/tests/model/test_connection.py +++ b/runtime/python/prompty/tests/model/test_connection.py @@ -1,33 +1,33 @@ -import json +import json import yaml from prompty.model import Connection def test_load_json_connection(): - json_data = r""" + json_data = r''' { "kind": "reference", "authenticationMode": "system", "usageDescription": "This will allow the agent to respond to an email on your behalf" } - """ + ''' data = json.loads(json_data, strict=False) instance = Connection.load(data) assert instance is not None assert instance.kind == "reference" assert instance.authenticationMode == "system" assert instance.usageDescription == "This will allow the agent to respond to an email on your behalf" - + def test_load_yaml_connection(): - yaml_data = r""" + yaml_data = r''' kind: reference authenticationMode: system usageDescription: This will allow the agent to respond to an email on your behalf - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Connection.load(data) assert instance is not None @@ -35,16 +35,15 @@ def test_load_yaml_connection(): assert instance.authenticationMode == "system" assert instance.usageDescription == "This will allow the agent to respond to an email on your behalf" - def test_roundtrip_json_connection(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "reference", "authenticationMode": "system", "usageDescription": "This will allow the agent to respond to an email on your behalf" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Connection.load(original_data) saved_data = instance.save() @@ -54,16 +53,15 @@ def test_roundtrip_json_connection(): assert reloaded.authenticationMode == "system" assert reloaded.usageDescription == "This will allow the agent to respond to an email on your behalf" - def test_to_json_connection(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "reference", "authenticationMode": "system", "usageDescription": "This will allow the agent to respond to an email on your behalf" } - """ + ''' data = json.loads(json_data, strict=False) instance = Connection.load(data) json_output = instance.to_json() @@ -71,19 +69,20 @@ def test_to_json_connection(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_connection(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "reference", "authenticationMode": "system", "usageDescription": "This will allow the agent to respond to an email on your behalf" } - """ + ''' data = json.loads(json_data, strict=False) instance = Connection.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_content_part.py b/runtime/python/prompty/tests/model/test_content_part.py new file mode 100644 index 00000000..450f0157 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_content_part.py @@ -0,0 +1,5 @@ + +from prompty.model import ContentPart + + + diff --git a/runtime/python/prompty/tests/model/test_context.py b/runtime/python/prompty/tests/model/test_context.py index 9cac75b7..ce4a9707 100644 --- a/runtime/python/prompty/tests/model/test_context.py +++ b/runtime/python/prompty/tests/model/test_context.py @@ -1,3 +1,5 @@ + + # Prompty LoadContext from prompty.model._context import LoadContext, SaveContext @@ -20,7 +22,6 @@ def test_process_input_without_callback(self) -> None: def test_process_input_with_callback(self) -> None: """Test process_input applies the pre_process callback.""" - def add_field(data: dict) -> dict: return {**data, "added": True} @@ -39,7 +40,6 @@ def test_process_output_without_callback(self) -> None: def test_process_output_with_callback(self) -> None: """Test process_output applies the post_process callback.""" - def wrap_result(result: dict) -> dict: return {"wrapped": result} @@ -50,7 +50,6 @@ def wrap_result(result: dict) -> dict: def test_both_callbacks(self) -> None: """Test using both pre_process and post_process callbacks.""" - def normalize_keys(data: dict) -> dict: return {k.lower(): v for k, v in data.items()} @@ -68,7 +67,6 @@ def add_metadata(result: dict) -> dict: def test_pre_process_can_modify_structure(self) -> None: """Test that pre_process can fundamentally transform data structure.""" - def flatten_nested(data: dict) -> dict: result = {} for key, value in data.items(): @@ -103,7 +101,6 @@ def test_process_object_without_callback(self) -> None: def test_process_object_with_callback(self) -> None: """Test process_object applies the pre_save callback.""" - def add_timestamp(obj: dict) -> dict: return {**obj, "timestamp": "2024-01-01"} @@ -121,7 +118,6 @@ def test_process_dict_without_callback(self) -> None: def test_process_dict_with_callback(self) -> None: """Test process_dict applies the post_save callback.""" - def remove_internal_fields(data: dict) -> dict: return {k: v for k, v in data.items() if not k.startswith("_")} @@ -132,7 +128,6 @@ def remove_internal_fields(data: dict) -> dict: def test_both_callbacks(self) -> None: """Test using both pre_save and post_save callbacks.""" - def mark_for_export(obj: dict) -> dict: return {**obj, "_exporting": True} @@ -161,7 +156,6 @@ def test_to_yaml(self) -> None: def test_to_json(self) -> None: """Test to_json produces valid JSON string.""" import json - context = SaveContext() data = {"name": "test", "items": ["a", "b"]} result = context.to_json(data) diff --git a/runtime/python/prompty/tests/model/test_custom_tool.py b/runtime/python/prompty/tests/model/test_custom_tool.py index 84d56a3d..03f36c54 100644 --- a/runtime/python/prompty/tests/model/test_custom_tool.py +++ b/runtime/python/prompty/tests/model/test_custom_tool.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import CustomTool def test_load_json_customtool(): - json_data = r""" + json_data = r''' { "connection": { "kind": "reference" @@ -16,29 +16,28 @@ def test_load_json_customtool(): "retries": 3 } } - """ + ''' data = json.loads(json_data, strict=False) instance = CustomTool.load(data) assert instance is not None - + def test_load_yaml_customtool(): - yaml_data = r""" + yaml_data = r''' connection: kind: reference options: timeout: 30 retries: 3 - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = CustomTool.load(data) assert instance is not None - def test_roundtrip_json_customtool(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "connection": { "kind": "reference" @@ -48,17 +47,16 @@ def test_roundtrip_json_customtool(): "retries": 3 } } - """ + ''' original_data = json.loads(json_data, strict=False) instance = CustomTool.load(original_data) saved_data = instance.save() reloaded = CustomTool.load(saved_data) assert reloaded is not None - def test_to_json_customtool(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "connection": { "kind": "reference" @@ -68,7 +66,7 @@ def test_to_json_customtool(): "retries": 3 } } - """ + ''' data = json.loads(json_data, strict=False) instance = CustomTool.load(data) json_output = instance.to_json() @@ -76,10 +74,9 @@ def test_to_json_customtool(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_customtool(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "connection": { "kind": "reference" @@ -89,10 +86,12 @@ def test_to_yaml_customtool(): "retries": 3 } } - """ + ''' data = json.loads(json_data, strict=False) instance = CustomTool.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_error_chunk.py b/runtime/python/prompty/tests/model/test_error_chunk.py new file mode 100644 index 00000000..9ea27715 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_error_chunk.py @@ -0,0 +1,72 @@ + +import json +import yaml + +from prompty.model import ErrorChunk + + +def test_load_json_errorchunk(): + json_data = r''' + { + "message": "Rate limit exceeded" + } + ''' + data = json.loads(json_data, strict=False) + instance = ErrorChunk.load(data) + assert instance is not None + assert instance.message == "Rate limit exceeded" + + +def test_load_yaml_errorchunk(): + yaml_data = r''' + message: Rate limit exceeded + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = ErrorChunk.load(data) + assert instance is not None + assert instance.message == "Rate limit exceeded" + +def test_roundtrip_json_errorchunk(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "message": "Rate limit exceeded" + } + ''' + original_data = json.loads(json_data, strict=False) + instance = ErrorChunk.load(original_data) + saved_data = instance.save() + reloaded = ErrorChunk.load(saved_data) + assert reloaded is not None + assert reloaded.message == "Rate limit exceeded" + +def test_to_json_errorchunk(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "message": "Rate limit exceeded" + } + ''' + data = json.loads(json_data, strict=False) + instance = ErrorChunk.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_errorchunk(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "message": "Rate limit exceeded" + } + ''' + data = json.loads(json_data, strict=False) + instance = ErrorChunk.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_file_part.py b/runtime/python/prompty/tests/model/test_file_part.py new file mode 100644 index 00000000..22992159 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_file_part.py @@ -0,0 +1,80 @@ + +import json +import yaml + +from prompty.model import FilePart + + +def test_load_json_filepart(): + json_data = r''' + { + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" + } + ''' + data = json.loads(json_data, strict=False) + instance = FilePart.load(data) + assert instance is not None + assert instance.source == "https://example.com/document.pdf" + assert instance.mediaType == "application/pdf" + + +def test_load_yaml_filepart(): + yaml_data = r''' + source: "https://example.com/document.pdf" + mediaType: application/pdf + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = FilePart.load(data) + assert instance is not None + assert instance.source == "https://example.com/document.pdf" + assert instance.mediaType == "application/pdf" + +def test_roundtrip_json_filepart(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" + } + ''' + original_data = json.loads(json_data, strict=False) + instance = FilePart.load(original_data) + saved_data = instance.save() + reloaded = FilePart.load(saved_data) + assert reloaded is not None + assert reloaded.source == "https://example.com/document.pdf" + assert reloaded.mediaType == "application/pdf" + +def test_to_json_filepart(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" + } + ''' + data = json.loads(json_data, strict=False) + instance = FilePart.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_filepart(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "source": "https://example.com/document.pdf", + "mediaType": "application/pdf" + } + ''' + data = json.loads(json_data, strict=False) + instance = FilePart.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_format_config.py b/runtime/python/prompty/tests/model/test_format_config.py index 436f17db..3416218d 100644 --- a/runtime/python/prompty/tests/model/test_format_config.py +++ b/runtime/python/prompty/tests/model/test_format_config.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import FormatConfig def test_load_json_formatconfig(): - json_data = r""" + json_data = r''' { "kind": "mustache", "strict": true, @@ -14,33 +14,32 @@ def test_load_json_formatconfig(): "key": "value" } } - """ + ''' data = json.loads(json_data, strict=False) instance = FormatConfig.load(data) assert instance is not None assert instance.kind == "mustache" - + assert instance.strict - + def test_load_yaml_formatconfig(): - yaml_data = r""" + yaml_data = r''' kind: mustache strict: true options: key: value - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = FormatConfig.load(data) assert instance is not None assert instance.kind == "mustache" assert instance.strict - def test_roundtrip_json_formatconfig(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "mustache", "strict": true, @@ -48,7 +47,7 @@ def test_roundtrip_json_formatconfig(): "key": "value" } } - """ + ''' original_data = json.loads(json_data, strict=False) instance = FormatConfig.load(original_data) saved_data = instance.save() @@ -57,10 +56,9 @@ def test_roundtrip_json_formatconfig(): assert reloaded.kind == "mustache" assert reloaded.strict - def test_to_json_formatconfig(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "mustache", "strict": true, @@ -68,7 +66,7 @@ def test_to_json_formatconfig(): "key": "value" } } - """ + ''' data = json.loads(json_data, strict=False) instance = FormatConfig.load(data) json_output = instance.to_json() @@ -76,10 +74,9 @@ def test_to_json_formatconfig(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_formatconfig(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "mustache", "strict": true, @@ -87,7 +84,7 @@ def test_to_yaml_formatconfig(): "key": "value" } } - """ + ''' data = json.loads(json_data, strict=False) instance = FormatConfig.load(data) yaml_output = instance.to_yaml() @@ -100,3 +97,5 @@ def test_load_formatconfig_from_str(): instance = FormatConfig.load("example") assert instance is not None assert instance.kind == "example" + + diff --git a/runtime/python/prompty/tests/model/test_foundry_connection.py b/runtime/python/prompty/tests/model/test_foundry_connection.py index d473bdca..87fa6475 100644 --- a/runtime/python/prompty/tests/model/test_foundry_connection.py +++ b/runtime/python/prompty/tests/model/test_foundry_connection.py @@ -1,19 +1,19 @@ -import json +import json import yaml from prompty.model import FoundryConnection def test_load_json_foundryconnection(): - json_data = r""" + json_data = r''' { "kind": "foundry", "endpoint": "https://myresource.services.ai.azure.com/api/projects/myproject", "name": "my-openai-connection", "connectionType": "model" } - """ + ''' data = json.loads(json_data, strict=False) instance = FoundryConnection.load(data) assert instance is not None @@ -21,16 +21,16 @@ def test_load_json_foundryconnection(): assert instance.endpoint == "https://myresource.services.ai.azure.com/api/projects/myproject" assert instance.name == "my-openai-connection" assert instance.connectionType == "model" - + def test_load_yaml_foundryconnection(): - yaml_data = r""" + yaml_data = r''' kind: foundry endpoint: "https://myresource.services.ai.azure.com/api/projects/myproject" name: my-openai-connection connectionType: model - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = FoundryConnection.load(data) assert instance is not None @@ -39,17 +39,16 @@ def test_load_yaml_foundryconnection(): assert instance.name == "my-openai-connection" assert instance.connectionType == "model" - def test_roundtrip_json_foundryconnection(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "foundry", "endpoint": "https://myresource.services.ai.azure.com/api/projects/myproject", "name": "my-openai-connection", "connectionType": "model" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = FoundryConnection.load(original_data) saved_data = instance.save() @@ -60,17 +59,16 @@ def test_roundtrip_json_foundryconnection(): assert reloaded.name == "my-openai-connection" assert reloaded.connectionType == "model" - def test_to_json_foundryconnection(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "foundry", "endpoint": "https://myresource.services.ai.azure.com/api/projects/myproject", "name": "my-openai-connection", "connectionType": "model" } - """ + ''' data = json.loads(json_data, strict=False) instance = FoundryConnection.load(data) json_output = instance.to_json() @@ -78,20 +76,21 @@ def test_to_json_foundryconnection(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_foundryconnection(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "foundry", "endpoint": "https://myresource.services.ai.azure.com/api/projects/myproject", "name": "my-openai-connection", "connectionType": "model" } - """ + ''' data = json.loads(json_data, strict=False) instance = FoundryConnection.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_function_tool.py b/runtime/python/prompty/tests/model/test_function_tool.py index ae4aef36..7a4e9f14 100644 --- a/runtime/python/prompty/tests/model/test_function_tool.py +++ b/runtime/python/prompty/tests/model/test_function_tool.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import FunctionTool def test_load_json_functiontool(): - json_data = r""" + json_data = r''' { "kind": "function", "parameters": { @@ -25,17 +25,17 @@ def test_load_json_functiontool(): }, "strict": true } - """ + ''' data = json.loads(json_data, strict=False) instance = FunctionTool.load(data) assert instance is not None assert instance.kind == "function" - + assert instance.strict - + def test_load_yaml_functiontool(): - yaml_data = r""" + yaml_data = r''' kind: function parameters: firstName: @@ -49,17 +49,16 @@ def test_load_yaml_functiontool(): default: What is the meaning of life? strict: true - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = FunctionTool.load(data) assert instance is not None assert instance.kind == "function" assert instance.strict - def test_roundtrip_json_functiontool(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "function", "parameters": { @@ -78,7 +77,7 @@ def test_roundtrip_json_functiontool(): }, "strict": true } - """ + ''' original_data = json.loads(json_data, strict=False) instance = FunctionTool.load(original_data) saved_data = instance.save() @@ -87,10 +86,9 @@ def test_roundtrip_json_functiontool(): assert reloaded.kind == "function" assert reloaded.strict - def test_to_json_functiontool(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "function", "parameters": { @@ -109,7 +107,7 @@ def test_to_json_functiontool(): }, "strict": true } - """ + ''' data = json.loads(json_data, strict=False) instance = FunctionTool.load(data) json_output = instance.to_json() @@ -117,10 +115,9 @@ def test_to_json_functiontool(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_functiontool(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "function", "parameters": { @@ -139,7 +136,7 @@ def test_to_yaml_functiontool(): }, "strict": true } - """ + ''' data = json.loads(json_data, strict=False) instance = FunctionTool.load(data) yaml_output = instance.to_yaml() @@ -147,9 +144,8 @@ def test_to_yaml_functiontool(): parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) - def test_load_json_functiontool_1(): - json_data = r""" + json_data = r''' { "kind": "function", "parameters": [ @@ -171,17 +167,17 @@ def test_load_json_functiontool_1(): ], "strict": true } - """ + ''' data = json.loads(json_data, strict=False) instance = FunctionTool.load(data) assert instance is not None assert instance.kind == "function" - + assert instance.strict - + def test_load_yaml_functiontool_1(): - yaml_data = r""" + yaml_data = r''' kind: function parameters: - name: firstName @@ -195,17 +191,16 @@ def test_load_yaml_functiontool_1(): default: What is the meaning of life? strict: true - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = FunctionTool.load(data) assert instance is not None assert instance.kind == "function" assert instance.strict - def test_roundtrip_json_functiontool_1(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "function", "parameters": [ @@ -227,7 +222,7 @@ def test_roundtrip_json_functiontool_1(): ], "strict": true } - """ + ''' original_data = json.loads(json_data, strict=False) instance = FunctionTool.load(original_data) saved_data = instance.save() @@ -236,10 +231,9 @@ def test_roundtrip_json_functiontool_1(): assert reloaded.kind == "function" assert reloaded.strict - def test_to_json_functiontool_1(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "function", "parameters": [ @@ -261,7 +255,7 @@ def test_to_json_functiontool_1(): ], "strict": true } - """ + ''' data = json.loads(json_data, strict=False) instance = FunctionTool.load(data) json_output = instance.to_json() @@ -269,10 +263,9 @@ def test_to_json_functiontool_1(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_functiontool_1(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "function", "parameters": [ @@ -294,10 +287,12 @@ def test_to_yaml_functiontool_1(): ], "strict": true } - """ + ''' data = json.loads(json_data, strict=False) instance = FunctionTool.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_guardrail_result.py b/runtime/python/prompty/tests/model/test_guardrail_result.py new file mode 100644 index 00000000..631c3c75 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_guardrail_result.py @@ -0,0 +1,81 @@ + +import json +import yaml + +from prompty.model import GuardrailResult + + +def test_load_json_guardrailresult(): + json_data = r''' + { + "allowed": true, + "reason": "Content is safe" + } + ''' + data = json.loads(json_data, strict=False) + instance = GuardrailResult.load(data) + assert instance is not None + + assert instance.allowed + assert instance.reason == "Content is safe" + + +def test_load_yaml_guardrailresult(): + yaml_data = r''' + allowed: true + reason: Content is safe + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = GuardrailResult.load(data) + assert instance is not None + assert instance.allowed + assert instance.reason == "Content is safe" + +def test_roundtrip_json_guardrailresult(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "allowed": true, + "reason": "Content is safe" + } + ''' + original_data = json.loads(json_data, strict=False) + instance = GuardrailResult.load(original_data) + saved_data = instance.save() + reloaded = GuardrailResult.load(saved_data) + assert reloaded is not None + assert reloaded.allowed + assert reloaded.reason == "Content is safe" + +def test_to_json_guardrailresult(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "allowed": true, + "reason": "Content is safe" + } + ''' + data = json.loads(json_data, strict=False) + instance = GuardrailResult.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_guardrailresult(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "allowed": true, + "reason": "Content is safe" + } + ''' + data = json.loads(json_data, strict=False) + instance = GuardrailResult.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_image_part.py b/runtime/python/prompty/tests/model/test_image_part.py new file mode 100644 index 00000000..ef5e7bdb --- /dev/null +++ b/runtime/python/prompty/tests/model/test_image_part.py @@ -0,0 +1,88 @@ + +import json +import yaml + +from prompty.model import ImagePart + + +def test_load_json_imagepart(): + json_data = r''' + { + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" + } + ''' + data = json.loads(json_data, strict=False) + instance = ImagePart.load(data) + assert instance is not None + assert instance.source == "https://example.com/image.png" + assert instance.detail == "auto" + assert instance.mediaType == "image/png" + + +def test_load_yaml_imagepart(): + yaml_data = r''' + source: "https://example.com/image.png" + detail: auto + mediaType: image/png + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = ImagePart.load(data) + assert instance is not None + assert instance.source == "https://example.com/image.png" + assert instance.detail == "auto" + assert instance.mediaType == "image/png" + +def test_roundtrip_json_imagepart(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" + } + ''' + original_data = json.loads(json_data, strict=False) + instance = ImagePart.load(original_data) + saved_data = instance.save() + reloaded = ImagePart.load(saved_data) + assert reloaded is not None + assert reloaded.source == "https://example.com/image.png" + assert reloaded.detail == "auto" + assert reloaded.mediaType == "image/png" + +def test_to_json_imagepart(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" + } + ''' + data = json.loads(json_data, strict=False) + instance = ImagePart.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_imagepart(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "source": "https://example.com/image.png", + "detail": "auto", + "mediaType": "image/png" + } + ''' + data = json.loads(json_data, strict=False) + instance = ImagePart.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_mcp_approval_mode.py b/runtime/python/prompty/tests/model/test_mcp_approval_mode.py index 7e24ff9a..3a8483e4 100644 --- a/runtime/python/prompty/tests/model/test_mcp_approval_mode.py +++ b/runtime/python/prompty/tests/model/test_mcp_approval_mode.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import McpApprovalMode def test_load_json_mcpapprovalmode(): - json_data = r""" + json_data = r''' { "kind": "never", "alwaysRequireApprovalTools": [ @@ -16,31 +16,30 @@ def test_load_json_mcpapprovalmode(): "operation2" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = McpApprovalMode.load(data) assert instance is not None assert instance.kind == "never" - + def test_load_yaml_mcpapprovalmode(): - yaml_data = r""" + yaml_data = r''' kind: never alwaysRequireApprovalTools: - operation1 neverRequireApprovalTools: - operation2 - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = McpApprovalMode.load(data) assert instance is not None assert instance.kind == "never" - def test_roundtrip_json_mcpapprovalmode(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "never", "alwaysRequireApprovalTools": [ @@ -50,7 +49,7 @@ def test_roundtrip_json_mcpapprovalmode(): "operation2" ] } - """ + ''' original_data = json.loads(json_data, strict=False) instance = McpApprovalMode.load(original_data) saved_data = instance.save() @@ -58,10 +57,9 @@ def test_roundtrip_json_mcpapprovalmode(): assert reloaded is not None assert reloaded.kind == "never" - def test_to_json_mcpapprovalmode(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "never", "alwaysRequireApprovalTools": [ @@ -71,7 +69,7 @@ def test_to_json_mcpapprovalmode(): "operation2" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = McpApprovalMode.load(data) json_output = instance.to_json() @@ -79,10 +77,9 @@ def test_to_json_mcpapprovalmode(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_mcpapprovalmode(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "never", "alwaysRequireApprovalTools": [ @@ -92,7 +89,7 @@ def test_to_yaml_mcpapprovalmode(): "operation2" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = McpApprovalMode.load(data) yaml_output = instance.to_yaml() @@ -105,3 +102,5 @@ def test_load_mcpapprovalmode_from_str(): instance = McpApprovalMode.load("never") assert instance is not None assert instance.kind == "never" + + diff --git a/runtime/python/prompty/tests/model/test_mcp_tool.py b/runtime/python/prompty/tests/model/test_mcp_tool.py index ca3248fa..4673783f 100644 --- a/runtime/python/prompty/tests/model/test_mcp_tool.py +++ b/runtime/python/prompty/tests/model/test_mcp_tool.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import McpTool def test_load_json_mcptool(): - json_data = r""" + json_data = r''' { "kind": "mcp", "connection": { @@ -22,17 +22,17 @@ def test_load_json_mcptool(): "operation2" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = McpTool.load(data) assert instance is not None assert instance.kind == "mcp" assert instance.serverName == "My MCP Server" assert instance.serverDescription == "This tool allows access to MCP services." - + def test_load_yaml_mcptool(): - yaml_data = r""" + yaml_data = r''' kind: mcp connection: kind: reference @@ -44,7 +44,7 @@ def test_load_yaml_mcptool(): - operation1 - operation2 - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = McpTool.load(data) assert instance is not None @@ -52,10 +52,9 @@ def test_load_yaml_mcptool(): assert instance.serverName == "My MCP Server" assert instance.serverDescription == "This tool allows access to MCP services." - def test_roundtrip_json_mcptool(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "mcp", "connection": { @@ -71,7 +70,7 @@ def test_roundtrip_json_mcptool(): "operation2" ] } - """ + ''' original_data = json.loads(json_data, strict=False) instance = McpTool.load(original_data) saved_data = instance.save() @@ -81,10 +80,9 @@ def test_roundtrip_json_mcptool(): assert reloaded.serverName == "My MCP Server" assert reloaded.serverDescription == "This tool allows access to MCP services." - def test_to_json_mcptool(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "mcp", "connection": { @@ -100,7 +98,7 @@ def test_to_json_mcptool(): "operation2" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = McpTool.load(data) json_output = instance.to_json() @@ -108,10 +106,9 @@ def test_to_json_mcptool(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_mcptool(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "mcp", "connection": { @@ -127,10 +124,12 @@ def test_to_yaml_mcptool(): "operation2" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = McpTool.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_message.py b/runtime/python/prompty/tests/model/test_message.py new file mode 100644 index 00000000..8db818c9 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_message.py @@ -0,0 +1,113 @@ + +import json +import yaml + +from prompty.model import Message + + +def test_load_json_message(): + json_data = r''' + { + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } + } + ''' + data = json.loads(json_data, strict=False) + instance = Message.load(data) + assert instance is not None + assert instance.role == "user" + + +def test_load_yaml_message(): + yaml_data = r''' + role: user + parts: + - kind: text + value: Hello! + metadata: + source: user-input + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = Message.load(data) + assert instance is not None + assert instance.role == "user" + +def test_roundtrip_json_message(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } + } + ''' + original_data = json.loads(json_data, strict=False) + instance = Message.load(original_data) + saved_data = instance.save() + reloaded = Message.load(saved_data) + assert reloaded is not None + assert reloaded.role == "user" + +def test_to_json_message(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } + } + ''' + data = json.loads(json_data, strict=False) + instance = Message.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_message(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } + } + ''' + data = json.loads(json_data, strict=False) + instance = Message.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_model.py b/runtime/python/prompty/tests/model/test_model.py index 51fe26d6..9446d5c5 100644 --- a/runtime/python/prompty/tests/model/test_model.py +++ b/runtime/python/prompty/tests/model/test_model.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import Model def test_load_json_model(): - json_data = r""" + json_data = r''' { "id": "gpt-35-turbo", "provider": "foundry", @@ -22,17 +22,17 @@ def test_load_json_model(): "maxOutputTokens": 1000 } } - """ + ''' data = json.loads(json_data, strict=False) instance = Model.load(data) assert instance is not None assert instance.id == "gpt-35-turbo" assert instance.provider == "foundry" assert instance.apiType == "chat" - + def test_load_yaml_model(): - yaml_data = r""" + yaml_data = r''' id: gpt-35-turbo provider: foundry apiType: chat @@ -45,7 +45,7 @@ def test_load_yaml_model(): temperature: 0.7 maxOutputTokens: 1000 - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Model.load(data) assert instance is not None @@ -53,10 +53,9 @@ def test_load_yaml_model(): assert instance.provider == "foundry" assert instance.apiType == "chat" - def test_roundtrip_json_model(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "id": "gpt-35-turbo", "provider": "foundry", @@ -72,7 +71,7 @@ def test_roundtrip_json_model(): "maxOutputTokens": 1000 } } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Model.load(original_data) saved_data = instance.save() @@ -82,10 +81,9 @@ def test_roundtrip_json_model(): assert reloaded.provider == "foundry" assert reloaded.apiType == "chat" - def test_to_json_model(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "id": "gpt-35-turbo", "provider": "foundry", @@ -101,7 +99,7 @@ def test_to_json_model(): "maxOutputTokens": 1000 } } - """ + ''' data = json.loads(json_data, strict=False) instance = Model.load(data) json_output = instance.to_json() @@ -109,10 +107,9 @@ def test_to_json_model(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_model(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "id": "gpt-35-turbo", "provider": "foundry", @@ -128,7 +125,7 @@ def test_to_yaml_model(): "maxOutputTokens": 1000 } } - """ + ''' data = json.loads(json_data, strict=False) instance = Model.load(data) yaml_output = instance.to_yaml() @@ -141,3 +138,5 @@ def test_load_model_from_str(): instance = Model.load("example") assert instance is not None assert instance.id == "example" + + diff --git a/runtime/python/prompty/tests/model/test_model_info.py b/runtime/python/prompty/tests/model/test_model_info.py new file mode 100644 index 00000000..ab466a09 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_model_info.py @@ -0,0 +1,143 @@ + +import json +import yaml + +from prompty.model import ModelInfo + + +def test_load_json_modelinfo(): + json_data = r''' + { + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } + } + ''' + data = json.loads(json_data, strict=False) + instance = ModelInfo.load(data) + assert instance is not None + assert instance.id == "gpt-4o" + assert instance.displayName == "GPT-4o" + assert instance.ownedBy == "openai" + assert instance.contextWindow == 128000 + + +def test_load_yaml_modelinfo(): + yaml_data = r''' + id: gpt-4o + displayName: GPT-4o + ownedBy: openai + contextWindow: 128000 + inputModalities: + - text + - image + outputModalities: + - text + additionalProperties: + supportsStreaming: true + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = ModelInfo.load(data) + assert instance is not None + assert instance.id == "gpt-4o" + assert instance.displayName == "GPT-4o" + assert instance.ownedBy == "openai" + assert instance.contextWindow == 128000 + +def test_roundtrip_json_modelinfo(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } + } + ''' + original_data = json.loads(json_data, strict=False) + instance = ModelInfo.load(original_data) + saved_data = instance.save() + reloaded = ModelInfo.load(saved_data) + assert reloaded is not None + assert reloaded.id == "gpt-4o" + assert reloaded.displayName == "GPT-4o" + assert reloaded.ownedBy == "openai" + assert reloaded.contextWindow == 128000 + +def test_to_json_modelinfo(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } + } + ''' + data = json.loads(json_data, strict=False) + instance = ModelInfo.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_modelinfo(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } + } + ''' + data = json.loads(json_data, strict=False) + instance = ModelInfo.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_model_options.py b/runtime/python/prompty/tests/model/test_model_options.py index 553f863c..fd323a7c 100644 --- a/runtime/python/prompty/tests/model/test_model_options.py +++ b/runtime/python/prompty/tests/model/test_model_options.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import ModelOptions def test_load_json_modeloptions(): - json_data = r""" + json_data = r''' { "frequencyPenalty": 0.5, "maxOutputTokens": 2048, @@ -25,7 +25,7 @@ def test_load_json_modeloptions(): "anotherProperty": "anotherValue" } } - """ + ''' data = json.loads(json_data, strict=False) instance = ModelOptions.load(data) assert instance is not None @@ -36,12 +36,12 @@ def test_load_json_modeloptions(): assert instance.temperature == 0.7 assert instance.topK == 40 assert instance.topP == 0.9 - + assert instance.allowMultipleToolCalls - + def test_load_yaml_modeloptions(): - yaml_data = r""" + yaml_data = r''' frequencyPenalty: 0.5 maxOutputTokens: 2048 presencePenalty: 0.3 @@ -57,7 +57,7 @@ def test_load_yaml_modeloptions(): customProperty: value anotherProperty: anotherValue - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = ModelOptions.load(data) assert instance is not None @@ -70,10 +70,9 @@ def test_load_yaml_modeloptions(): assert instance.topP == 0.9 assert instance.allowMultipleToolCalls - def test_roundtrip_json_modeloptions(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "frequencyPenalty": 0.5, "maxOutputTokens": 2048, @@ -92,7 +91,7 @@ def test_roundtrip_json_modeloptions(): "anotherProperty": "anotherValue" } } - """ + ''' original_data = json.loads(json_data, strict=False) instance = ModelOptions.load(original_data) saved_data = instance.save() @@ -107,10 +106,9 @@ def test_roundtrip_json_modeloptions(): assert reloaded.topP == 0.9 assert reloaded.allowMultipleToolCalls - def test_to_json_modeloptions(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "frequencyPenalty": 0.5, "maxOutputTokens": 2048, @@ -129,7 +127,7 @@ def test_to_json_modeloptions(): "anotherProperty": "anotherValue" } } - """ + ''' data = json.loads(json_data, strict=False) instance = ModelOptions.load(data) json_output = instance.to_json() @@ -137,10 +135,9 @@ def test_to_json_modeloptions(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_modeloptions(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "frequencyPenalty": 0.5, "maxOutputTokens": 2048, @@ -159,10 +156,12 @@ def test_to_yaml_modeloptions(): "anotherProperty": "anotherValue" } } - """ + ''' data = json.loads(json_data, strict=False) instance = ModelOptions.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_o_auth_connection.py b/runtime/python/prompty/tests/model/test_o_auth_connection.py index cf46b761..783f390c 100644 --- a/runtime/python/prompty/tests/model/test_o_auth_connection.py +++ b/runtime/python/prompty/tests/model/test_o_auth_connection.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import OAuthConnection def test_load_json_oauthconnection(): - json_data = r""" + json_data = r''' { "kind": "oauth", "endpoint": "https://api.example.com", @@ -17,7 +17,7 @@ def test_load_json_oauthconnection(): "https://cognitiveservices.azure.com/.default" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = OAuthConnection.load(data) assert instance is not None @@ -26,10 +26,10 @@ def test_load_json_oauthconnection(): assert instance.clientId == "your-client-id" assert instance.clientSecret == "your-client-secret" assert instance.tokenUrl == "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token" - + def test_load_yaml_oauthconnection(): - yaml_data = r""" + yaml_data = r''' kind: oauth endpoint: "https://api.example.com" clientId: your-client-id @@ -38,7 +38,7 @@ def test_load_yaml_oauthconnection(): scopes: - "https://cognitiveservices.azure.com/.default" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = OAuthConnection.load(data) assert instance is not None @@ -48,10 +48,9 @@ def test_load_yaml_oauthconnection(): assert instance.clientSecret == "your-client-secret" assert instance.tokenUrl == "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token" - def test_roundtrip_json_oauthconnection(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "oauth", "endpoint": "https://api.example.com", @@ -62,7 +61,7 @@ def test_roundtrip_json_oauthconnection(): "https://cognitiveservices.azure.com/.default" ] } - """ + ''' original_data = json.loads(json_data, strict=False) instance = OAuthConnection.load(original_data) saved_data = instance.save() @@ -74,10 +73,9 @@ def test_roundtrip_json_oauthconnection(): assert reloaded.clientSecret == "your-client-secret" assert reloaded.tokenUrl == "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token" - def test_to_json_oauthconnection(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "oauth", "endpoint": "https://api.example.com", @@ -88,7 +86,7 @@ def test_to_json_oauthconnection(): "https://cognitiveservices.azure.com/.default" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = OAuthConnection.load(data) json_output = instance.to_json() @@ -96,10 +94,9 @@ def test_to_json_oauthconnection(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_oauthconnection(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "oauth", "endpoint": "https://api.example.com", @@ -110,10 +107,12 @@ def test_to_yaml_oauthconnection(): "https://cognitiveservices.azure.com/.default" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = OAuthConnection.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_object_property.py b/runtime/python/prompty/tests/model/test_object_property.py index 8956d1c0..04d6568e 100644 --- a/runtime/python/prompty/tests/model/test_object_property.py +++ b/runtime/python/prompty/tests/model/test_object_property.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import ObjectProperty def test_load_json_objectproperty(): - json_data = r""" + json_data = r''' { "properties": { "property1": { @@ -17,29 +17,28 @@ def test_load_json_objectproperty(): } } } - """ + ''' data = json.loads(json_data, strict=False) instance = ObjectProperty.load(data) assert instance is not None - + def test_load_yaml_objectproperty(): - yaml_data = r""" + yaml_data = r''' properties: property1: kind: string property2: kind: number - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = ObjectProperty.load(data) assert instance is not None - def test_roundtrip_json_objectproperty(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "properties": { "property1": { @@ -50,17 +49,16 @@ def test_roundtrip_json_objectproperty(): } } } - """ + ''' original_data = json.loads(json_data, strict=False) instance = ObjectProperty.load(original_data) saved_data = instance.save() reloaded = ObjectProperty.load(saved_data) assert reloaded is not None - def test_to_json_objectproperty(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "properties": { "property1": { @@ -71,7 +69,7 @@ def test_to_json_objectproperty(): } } } - """ + ''' data = json.loads(json_data, strict=False) instance = ObjectProperty.load(data) json_output = instance.to_json() @@ -79,10 +77,9 @@ def test_to_json_objectproperty(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_objectproperty(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "properties": { "property1": { @@ -93,10 +90,12 @@ def test_to_yaml_objectproperty(): } } } - """ + ''' data = json.loads(json_data, strict=False) instance = ObjectProperty.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_open_api_tool.py b/runtime/python/prompty/tests/model/test_open_api_tool.py index 28b9c85a..ec9455be 100644 --- a/runtime/python/prompty/tests/model/test_open_api_tool.py +++ b/runtime/python/prompty/tests/model/test_open_api_tool.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import OpenApiTool def test_load_json_openapitool(): - json_data = r""" + json_data = r''' { "kind": "openapi", "connection": { @@ -14,32 +14,31 @@ def test_load_json_openapitool(): }, "specification": "./openapi.json" } - """ + ''' data = json.loads(json_data, strict=False) instance = OpenApiTool.load(data) assert instance is not None assert instance.kind == "openapi" assert instance.specification == "./openapi.json" - + def test_load_yaml_openapitool(): - yaml_data = r""" + yaml_data = r''' kind: openapi connection: kind: reference specification: ./openapi.json - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = OpenApiTool.load(data) assert instance is not None assert instance.kind == "openapi" assert instance.specification == "./openapi.json" - def test_roundtrip_json_openapitool(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "openapi", "connection": { @@ -47,7 +46,7 @@ def test_roundtrip_json_openapitool(): }, "specification": "./openapi.json" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = OpenApiTool.load(original_data) saved_data = instance.save() @@ -56,10 +55,9 @@ def test_roundtrip_json_openapitool(): assert reloaded.kind == "openapi" assert reloaded.specification == "./openapi.json" - def test_to_json_openapitool(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "openapi", "connection": { @@ -67,7 +65,7 @@ def test_to_json_openapitool(): }, "specification": "./openapi.json" } - """ + ''' data = json.loads(json_data, strict=False) instance = OpenApiTool.load(data) json_output = instance.to_json() @@ -75,10 +73,9 @@ def test_to_json_openapitool(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_openapitool(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "openapi", "connection": { @@ -86,10 +83,12 @@ def test_to_yaml_openapitool(): }, "specification": "./openapi.json" } - """ + ''' data = json.loads(json_data, strict=False) instance = OpenApiTool.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_parser_config.py b/runtime/python/prompty/tests/model/test_parser_config.py index 96b67bc9..4b6269c7 100644 --- a/runtime/python/prompty/tests/model/test_parser_config.py +++ b/runtime/python/prompty/tests/model/test_parser_config.py @@ -1,48 +1,47 @@ -import json +import json import yaml from prompty.model import ParserConfig def test_load_json_parserconfig(): - json_data = r""" + json_data = r''' { "kind": "prompty", "options": { "key": "value" } } - """ + ''' data = json.loads(json_data, strict=False) instance = ParserConfig.load(data) assert instance is not None assert instance.kind == "prompty" - + def test_load_yaml_parserconfig(): - yaml_data = r""" + yaml_data = r''' kind: prompty options: key: value - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = ParserConfig.load(data) assert instance is not None assert instance.kind == "prompty" - def test_roundtrip_json_parserconfig(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "prompty", "options": { "key": "value" } } - """ + ''' original_data = json.loads(json_data, strict=False) instance = ParserConfig.load(original_data) saved_data = instance.save() @@ -50,17 +49,16 @@ def test_roundtrip_json_parserconfig(): assert reloaded is not None assert reloaded.kind == "prompty" - def test_to_json_parserconfig(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "prompty", "options": { "key": "value" } } - """ + ''' data = json.loads(json_data, strict=False) instance = ParserConfig.load(data) json_output = instance.to_json() @@ -68,17 +66,16 @@ def test_to_json_parserconfig(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_parserconfig(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "prompty", "options": { "key": "value" } } - """ + ''' data = json.loads(json_data, strict=False) instance = ParserConfig.load(data) yaml_output = instance.to_yaml() @@ -91,3 +88,5 @@ def test_load_parserconfig_from_str(): instance = ParserConfig.load("example") assert instance is not None assert instance.kind == "example" + + diff --git a/runtime/python/prompty/tests/model/test_prompty.py b/runtime/python/prompty/tests/model/test_prompty.py index f5ecabae..f38b927f 100644 --- a/runtime/python/prompty/tests/model/test_prompty.py +++ b/runtime/python/prompty/tests/model/test_prompty.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import Prompty def test_load_json_prompty(): - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -72,16 +72,14 @@ def test_load_json_prompty(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -92,11 +90,10 @@ def test_load_json_prompty(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - + def test_load_yaml_prompty(): - yaml_data = r""" + yaml_data = r''' name: basic-prompt displayName: Basic Prompt description: A basic prompt that uses the GPT-3 chat API to answer questions @@ -162,16 +159,14 @@ def test_load_yaml_prompty(): {{question}}" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -182,12 +177,10 @@ def test_load_yaml_prompty(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_roundtrip_json_prompty(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -253,7 +246,7 @@ def test_roundtrip_json_prompty(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Prompty.load(original_data) saved_data = instance.save() @@ -262,9 +255,7 @@ def test_roundtrip_json_prompty(): assert reloaded.name == "basic-prompt" assert reloaded.displayName == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - reloaded.instructions - == """system: + assert reloaded.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -275,12 +266,10 @@ def test_roundtrip_json_prompty(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_to_json_prompty(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -346,7 +335,7 @@ def test_to_json_prompty(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) json_output = instance.to_json() @@ -354,10 +343,9 @@ def test_to_json_prompty(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_prompty(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -423,7 +411,7 @@ def test_to_yaml_prompty(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) yaml_output = instance.to_yaml() @@ -431,9 +419,8 @@ def test_to_yaml_prompty(): parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) - def test_load_json_prompty_1(): - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -498,16 +485,14 @@ def test_load_json_prompty_1(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -518,11 +503,10 @@ def test_load_json_prompty_1(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - + def test_load_yaml_prompty_1(): - yaml_data = r""" + yaml_data = r''' name: basic-prompt displayName: Basic Prompt description: A basic prompt that uses the GPT-3 chat API to answer questions @@ -588,16 +572,14 @@ def test_load_yaml_prompty_1(): {{question}}" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -608,12 +590,10 @@ def test_load_yaml_prompty_1(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_roundtrip_json_prompty_1(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -678,7 +658,7 @@ def test_roundtrip_json_prompty_1(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Prompty.load(original_data) saved_data = instance.save() @@ -687,9 +667,7 @@ def test_roundtrip_json_prompty_1(): assert reloaded.name == "basic-prompt" assert reloaded.displayName == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - reloaded.instructions - == """system: + assert reloaded.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -700,12 +678,10 @@ def test_roundtrip_json_prompty_1(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_to_json_prompty_1(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -770,7 +746,7 @@ def test_to_json_prompty_1(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) json_output = instance.to_json() @@ -778,10 +754,9 @@ def test_to_json_prompty_1(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_prompty_1(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -846,7 +821,7 @@ def test_to_yaml_prompty_1(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) yaml_output = instance.to_yaml() @@ -854,9 +829,8 @@ def test_to_yaml_prompty_1(): parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) - def test_load_json_prompty_2(): - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -923,16 +897,14 @@ def test_load_json_prompty_2(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -943,11 +915,10 @@ def test_load_json_prompty_2(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - + def test_load_yaml_prompty_2(): - yaml_data = r""" + yaml_data = r''' name: basic-prompt displayName: Basic Prompt description: A basic prompt that uses the GPT-3 chat API to answer questions @@ -1013,16 +984,14 @@ def test_load_yaml_prompty_2(): {{question}}" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -1033,12 +1002,10 @@ def test_load_yaml_prompty_2(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_roundtrip_json_prompty_2(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -1105,7 +1072,7 @@ def test_roundtrip_json_prompty_2(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Prompty.load(original_data) saved_data = instance.save() @@ -1114,9 +1081,7 @@ def test_roundtrip_json_prompty_2(): assert reloaded.name == "basic-prompt" assert reloaded.displayName == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - reloaded.instructions - == """system: + assert reloaded.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -1127,12 +1092,10 @@ def test_roundtrip_json_prompty_2(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_to_json_prompty_2(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -1199,7 +1162,7 @@ def test_to_json_prompty_2(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) json_output = instance.to_json() @@ -1207,10 +1170,9 @@ def test_to_json_prompty_2(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_prompty_2(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -1277,7 +1239,7 @@ def test_to_yaml_prompty_2(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) yaml_output = instance.to_yaml() @@ -1285,9 +1247,8 @@ def test_to_yaml_prompty_2(): parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) - def test_load_json_prompty_3(): - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -1353,16 +1314,14 @@ def test_load_json_prompty_3(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -1373,11 +1332,10 @@ def test_load_json_prompty_3(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - + def test_load_yaml_prompty_3(): - yaml_data = r""" + yaml_data = r''' name: basic-prompt displayName: Basic Prompt description: A basic prompt that uses the GPT-3 chat API to answer questions @@ -1443,16 +1401,14 @@ def test_load_yaml_prompty_3(): {{question}}" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -1463,12 +1419,10 @@ def test_load_yaml_prompty_3(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_roundtrip_json_prompty_3(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -1534,7 +1488,7 @@ def test_roundtrip_json_prompty_3(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Prompty.load(original_data) saved_data = instance.save() @@ -1543,9 +1497,7 @@ def test_roundtrip_json_prompty_3(): assert reloaded.name == "basic-prompt" assert reloaded.displayName == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - reloaded.instructions - == """system: + assert reloaded.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -1556,12 +1508,10 @@ def test_roundtrip_json_prompty_3(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_to_json_prompty_3(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -1627,7 +1577,7 @@ def test_to_json_prompty_3(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) json_output = instance.to_json() @@ -1635,10 +1585,9 @@ def test_to_json_prompty_3(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_prompty_3(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -1704,7 +1653,7 @@ def test_to_yaml_prompty_3(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) yaml_output = instance.to_yaml() @@ -1712,9 +1661,8 @@ def test_to_yaml_prompty_3(): parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) - def test_load_json_prompty_4(): - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -1783,16 +1731,14 @@ def test_load_json_prompty_4(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -1803,11 +1749,10 @@ def test_load_json_prompty_4(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - + def test_load_yaml_prompty_4(): - yaml_data = r""" + yaml_data = r''' name: basic-prompt displayName: Basic Prompt description: A basic prompt that uses the GPT-3 chat API to answer questions @@ -1873,16 +1818,14 @@ def test_load_yaml_prompty_4(): {{question}}" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -1893,12 +1836,10 @@ def test_load_yaml_prompty_4(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_roundtrip_json_prompty_4(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -1967,7 +1908,7 @@ def test_roundtrip_json_prompty_4(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Prompty.load(original_data) saved_data = instance.save() @@ -1976,9 +1917,7 @@ def test_roundtrip_json_prompty_4(): assert reloaded.name == "basic-prompt" assert reloaded.displayName == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - reloaded.instructions - == """system: + assert reloaded.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -1989,12 +1928,10 @@ def test_roundtrip_json_prompty_4(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_to_json_prompty_4(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -2063,7 +2000,7 @@ def test_to_json_prompty_4(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) json_output = instance.to_json() @@ -2071,10 +2008,9 @@ def test_to_json_prompty_4(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_prompty_4(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -2143,7 +2079,7 @@ def test_to_yaml_prompty_4(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) yaml_output = instance.to_yaml() @@ -2151,9 +2087,8 @@ def test_to_yaml_prompty_4(): parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) - def test_load_json_prompty_5(): - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -2221,16 +2156,14 @@ def test_load_json_prompty_5(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -2241,11 +2174,10 @@ def test_load_json_prompty_5(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - + def test_load_yaml_prompty_5(): - yaml_data = r""" + yaml_data = r''' name: basic-prompt displayName: Basic Prompt description: A basic prompt that uses the GPT-3 chat API to answer questions @@ -2311,16 +2243,14 @@ def test_load_yaml_prompty_5(): {{question}}" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -2331,12 +2261,10 @@ def test_load_yaml_prompty_5(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_roundtrip_json_prompty_5(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -2404,7 +2332,7 @@ def test_roundtrip_json_prompty_5(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Prompty.load(original_data) saved_data = instance.save() @@ -2413,9 +2341,7 @@ def test_roundtrip_json_prompty_5(): assert reloaded.name == "basic-prompt" assert reloaded.displayName == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - reloaded.instructions - == """system: + assert reloaded.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -2426,12 +2352,10 @@ def test_roundtrip_json_prompty_5(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_to_json_prompty_5(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -2499,7 +2423,7 @@ def test_to_json_prompty_5(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) json_output = instance.to_json() @@ -2507,10 +2431,9 @@ def test_to_json_prompty_5(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_prompty_5(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -2578,7 +2501,7 @@ def test_to_yaml_prompty_5(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) yaml_output = instance.to_yaml() @@ -2586,9 +2509,8 @@ def test_to_yaml_prompty_5(): parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) - def test_load_json_prompty_6(): - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -2658,16 +2580,14 @@ def test_load_json_prompty_6(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -2678,11 +2598,10 @@ def test_load_json_prompty_6(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - + def test_load_yaml_prompty_6(): - yaml_data = r""" + yaml_data = r''' name: basic-prompt displayName: Basic Prompt description: A basic prompt that uses the GPT-3 chat API to answer questions @@ -2748,16 +2667,14 @@ def test_load_yaml_prompty_6(): {{question}}" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -2768,12 +2685,10 @@ def test_load_yaml_prompty_6(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_roundtrip_json_prompty_6(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -2843,7 +2758,7 @@ def test_roundtrip_json_prompty_6(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Prompty.load(original_data) saved_data = instance.save() @@ -2852,9 +2767,7 @@ def test_roundtrip_json_prompty_6(): assert reloaded.name == "basic-prompt" assert reloaded.displayName == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - reloaded.instructions - == """system: + assert reloaded.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -2865,12 +2778,10 @@ def test_roundtrip_json_prompty_6(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_to_json_prompty_6(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -2940,7 +2851,7 @@ def test_to_json_prompty_6(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) json_output = instance.to_json() @@ -2948,10 +2859,9 @@ def test_to_json_prompty_6(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_prompty_6(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -3021,7 +2931,7 @@ def test_to_yaml_prompty_6(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) yaml_output = instance.to_yaml() @@ -3029,9 +2939,8 @@ def test_to_yaml_prompty_6(): parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) - def test_load_json_prompty_7(): - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -3100,16 +3009,14 @@ def test_load_json_prompty_7(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -3120,11 +3027,10 @@ def test_load_json_prompty_7(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - + def test_load_yaml_prompty_7(): - yaml_data = r""" + yaml_data = r''' name: basic-prompt displayName: Basic Prompt description: A basic prompt that uses the GPT-3 chat API to answer questions @@ -3190,16 +3096,14 @@ def test_load_yaml_prompty_7(): {{question}}" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" assert instance.displayName == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - instance.instructions - == """system: + assert instance.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -3210,12 +3114,10 @@ def test_load_yaml_prompty_7(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_roundtrip_json_prompty_7(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -3284,7 +3186,7 @@ def test_roundtrip_json_prompty_7(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Prompty.load(original_data) saved_data = instance.save() @@ -3293,9 +3195,7 @@ def test_roundtrip_json_prompty_7(): assert reloaded.name == "basic-prompt" assert reloaded.displayName == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" - assert ( - reloaded.instructions - == """system: + assert reloaded.instructions == """system: You are an AI assistant who helps people find information. As the assistant, you answer questions briefly, succinctly, and in a personable manner using markdown and even add some @@ -3306,12 +3206,10 @@ def test_roundtrip_json_prompty_7(): their questions. Use their name to address them in your responses. user: {{question}}""" - ) - def test_to_json_prompty_7(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -3380,7 +3278,7 @@ def test_to_json_prompty_7(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) json_output = instance.to_json() @@ -3388,10 +3286,9 @@ def test_to_json_prompty_7(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_prompty_7(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "basic-prompt", "displayName": "Basic Prompt", @@ -3460,10 +3357,12 @@ def test_to_yaml_prompty_7(): }, "instructions": "system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" } - """ + ''' data = json.loads(json_data, strict=False) instance = Prompty.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_prompty_tool.py b/runtime/python/prompty/tests/model/test_prompty_tool.py index 08af5ea0..1825908d 100644 --- a/runtime/python/prompty/tests/model/test_prompty_tool.py +++ b/runtime/python/prompty/tests/model/test_prompty_tool.py @@ -1,50 +1,44 @@ -import json +import json import yaml from prompty.model import PromptyTool def test_load_json_promptytool(): - json_data = r""" + json_data = r''' { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } - """ + ''' data = json.loads(json_data, strict=False) instance = PromptyTool.load(data) assert instance is not None assert instance.kind == "prompty" assert instance.path == "./summarize.prompty" - assert instance.mode == "single" - + def test_load_yaml_promptytool(): - yaml_data = r""" + yaml_data = r''' kind: prompty path: ./summarize.prompty - mode: single - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = PromptyTool.load(data) assert instance is not None assert instance.kind == "prompty" assert instance.path == "./summarize.prompty" - assert instance.mode == "single" - def test_roundtrip_json_promptytool(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = PromptyTool.load(original_data) saved_data = instance.save() @@ -52,18 +46,15 @@ def test_roundtrip_json_promptytool(): assert reloaded is not None assert reloaded.kind == "prompty" assert reloaded.path == "./summarize.prompty" - assert reloaded.mode == "single" - def test_to_json_promptytool(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } - """ + ''' data = json.loads(json_data, strict=False) instance = PromptyTool.load(data) json_output = instance.to_json() @@ -71,19 +62,19 @@ def test_to_json_promptytool(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_promptytool(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" + "path": "./summarize.prompty" } - """ + ''' data = json.loads(json_data, strict=False) instance = PromptyTool.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_property.py b/runtime/python/prompty/tests/model/test_property.py index 25fa9ac1..064a00fb 100644 --- a/runtime/python/prompty/tests/model/test_property.py +++ b/runtime/python/prompty/tests/model/test_property.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import Property def test_load_json_property(): - json_data = r""" + json_data = r''' { "name": "my-input", "kind": "string", @@ -20,21 +20,21 @@ def test_load_json_property(): "value3" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = Property.load(data) assert instance is not None assert instance.name == "my-input" assert instance.kind == "string" assert instance.description == "A description of the input property" - + assert instance.required assert instance.default == "default value" assert instance.example == "example value" - + def test_load_yaml_property(): - yaml_data = r""" + yaml_data = r''' name: my-input kind: string description: A description of the input property @@ -46,7 +46,7 @@ def test_load_yaml_property(): - value2 - value3 - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Property.load(data) assert instance is not None @@ -57,10 +57,9 @@ def test_load_yaml_property(): assert instance.default == "default value" assert instance.example == "example value" - def test_roundtrip_json_property(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "my-input", "kind": "string", @@ -74,7 +73,7 @@ def test_roundtrip_json_property(): "value3" ] } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Property.load(original_data) saved_data = instance.save() @@ -87,10 +86,9 @@ def test_roundtrip_json_property(): assert reloaded.default == "default value" assert reloaded.example == "example value" - def test_to_json_property(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "my-input", "kind": "string", @@ -104,7 +102,7 @@ def test_to_json_property(): "value3" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = Property.load(data) json_output = instance.to_json() @@ -112,10 +110,9 @@ def test_to_json_property(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_property(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "my-input", "kind": "string", @@ -129,7 +126,7 @@ def test_to_yaml_property(): "value3" ] } - """ + ''' data = json.loads(json_data, strict=False) instance = Property.load(data) yaml_output = instance.to_yaml() @@ -143,24 +140,20 @@ def test_load_property_from_bool(): assert instance is not None assert instance.kind == "boolean" assert not instance.example - - def test_load_property_from_float(): instance = Property.load(3.14) assert instance is not None assert instance.kind == "float" assert instance.example == 3.14 - - def test_load_property_from_integer(): instance = Property.load(4) assert instance is not None assert instance.kind == "integer" assert instance.example == 4 - - def test_load_property_from_str(): instance = Property.load("example") assert instance is not None assert instance.kind == "string" assert instance.example == "example" + + diff --git a/runtime/python/prompty/tests/model/test_reference_connection.py b/runtime/python/prompty/tests/model/test_reference_connection.py index e1413c3a..fcf4b9ed 100644 --- a/runtime/python/prompty/tests/model/test_reference_connection.py +++ b/runtime/python/prompty/tests/model/test_reference_connection.py @@ -1,33 +1,33 @@ -import json +import json import yaml from prompty.model import ReferenceConnection def test_load_json_referenceconnection(): - json_data = r""" + json_data = r''' { "kind": "reference", "name": "my-reference-connection", "target": "my-target-resource" } - """ + ''' data = json.loads(json_data, strict=False) instance = ReferenceConnection.load(data) assert instance is not None assert instance.kind == "reference" assert instance.name == "my-reference-connection" assert instance.target == "my-target-resource" - + def test_load_yaml_referenceconnection(): - yaml_data = r""" + yaml_data = r''' kind: reference name: my-reference-connection target: my-target-resource - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = ReferenceConnection.load(data) assert instance is not None @@ -35,16 +35,15 @@ def test_load_yaml_referenceconnection(): assert instance.name == "my-reference-connection" assert instance.target == "my-target-resource" - def test_roundtrip_json_referenceconnection(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "reference", "name": "my-reference-connection", "target": "my-target-resource" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = ReferenceConnection.load(original_data) saved_data = instance.save() @@ -54,16 +53,15 @@ def test_roundtrip_json_referenceconnection(): assert reloaded.name == "my-reference-connection" assert reloaded.target == "my-target-resource" - def test_to_json_referenceconnection(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "reference", "name": "my-reference-connection", "target": "my-target-resource" } - """ + ''' data = json.loads(json_data, strict=False) instance = ReferenceConnection.load(data) json_output = instance.to_json() @@ -71,19 +69,20 @@ def test_to_json_referenceconnection(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_referenceconnection(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "reference", "name": "my-reference-connection", "target": "my-target-resource" } - """ + ''' data = json.loads(json_data, strict=False) instance = ReferenceConnection.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_remote_connection.py b/runtime/python/prompty/tests/model/test_remote_connection.py index c5799c41..46a040f2 100644 --- a/runtime/python/prompty/tests/model/test_remote_connection.py +++ b/runtime/python/prompty/tests/model/test_remote_connection.py @@ -1,33 +1,33 @@ -import json +import json import yaml from prompty.model import RemoteConnection def test_load_json_remoteconnection(): - json_data = r""" + json_data = r''' { "kind": "remote", "name": "my-reference-connection", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" } - """ + ''' data = json.loads(json_data, strict=False) instance = RemoteConnection.load(data) assert instance is not None assert instance.kind == "remote" assert instance.name == "my-reference-connection" assert instance.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" - + def test_load_yaml_remoteconnection(): - yaml_data = r""" + yaml_data = r''' kind: remote name: my-reference-connection endpoint: "https://{your-custom-endpoint}.openai.azure.com/" - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = RemoteConnection.load(data) assert instance is not None @@ -35,16 +35,15 @@ def test_load_yaml_remoteconnection(): assert instance.name == "my-reference-connection" assert instance.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" - def test_roundtrip_json_remoteconnection(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "kind": "remote", "name": "my-reference-connection", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" } - """ + ''' original_data = json.loads(json_data, strict=False) instance = RemoteConnection.load(original_data) saved_data = instance.save() @@ -54,16 +53,15 @@ def test_roundtrip_json_remoteconnection(): assert reloaded.name == "my-reference-connection" assert reloaded.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" - def test_to_json_remoteconnection(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "kind": "remote", "name": "my-reference-connection", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" } - """ + ''' data = json.loads(json_data, strict=False) instance = RemoteConnection.load(data) json_output = instance.to_json() @@ -71,19 +69,20 @@ def test_to_json_remoteconnection(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_remoteconnection(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "kind": "remote", "name": "my-reference-connection", "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" } - """ + ''' data = json.loads(json_data, strict=False) instance = RemoteConnection.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_stream_chunk.py b/runtime/python/prompty/tests/model/test_stream_chunk.py new file mode 100644 index 00000000..1bfc1655 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_stream_chunk.py @@ -0,0 +1,5 @@ + +from prompty.model import StreamChunk + + + diff --git a/runtime/python/prompty/tests/model/test_template.py b/runtime/python/prompty/tests/model/test_template.py index b3f70bbf..71c934d3 100644 --- a/runtime/python/prompty/tests/model/test_template.py +++ b/runtime/python/prompty/tests/model/test_template.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import Template def test_load_json_template(): - json_data = r""" + json_data = r''' { "format": { "kind": "mustache" @@ -15,28 +15,27 @@ def test_load_json_template(): "kind": "mustache" } } - """ + ''' data = json.loads(json_data, strict=False) instance = Template.load(data) assert instance is not None - + def test_load_yaml_template(): - yaml_data = r""" + yaml_data = r''' format: kind: mustache parser: kind: mustache - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Template.load(data) assert instance is not None - def test_roundtrip_json_template(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "format": { "kind": "mustache" @@ -45,17 +44,16 @@ def test_roundtrip_json_template(): "kind": "mustache" } } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Template.load(original_data) saved_data = instance.save() reloaded = Template.load(saved_data) assert reloaded is not None - def test_to_json_template(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "format": { "kind": "mustache" @@ -64,7 +62,7 @@ def test_to_json_template(): "kind": "mustache" } } - """ + ''' data = json.loads(json_data, strict=False) instance = Template.load(data) json_output = instance.to_json() @@ -72,10 +70,9 @@ def test_to_json_template(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_template(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "format": { "kind": "mustache" @@ -84,10 +81,12 @@ def test_to_yaml_template(): "kind": "mustache" } } - """ + ''' data = json.loads(json_data, strict=False) instance = Template.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_text_chunk.py b/runtime/python/prompty/tests/model/test_text_chunk.py new file mode 100644 index 00000000..a6f4d332 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_text_chunk.py @@ -0,0 +1,72 @@ + +import json +import yaml + +from prompty.model import TextChunk + + +def test_load_json_textchunk(): + json_data = r''' + { + "value": "Hello" + } + ''' + data = json.loads(json_data, strict=False) + instance = TextChunk.load(data) + assert instance is not None + assert instance.value == "Hello" + + +def test_load_yaml_textchunk(): + yaml_data = r''' + value: Hello + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = TextChunk.load(data) + assert instance is not None + assert instance.value == "Hello" + +def test_roundtrip_json_textchunk(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "value": "Hello" + } + ''' + original_data = json.loads(json_data, strict=False) + instance = TextChunk.load(original_data) + saved_data = instance.save() + reloaded = TextChunk.load(saved_data) + assert reloaded is not None + assert reloaded.value == "Hello" + +def test_to_json_textchunk(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "value": "Hello" + } + ''' + data = json.loads(json_data, strict=False) + instance = TextChunk.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_textchunk(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "value": "Hello" + } + ''' + data = json.loads(json_data, strict=False) + instance = TextChunk.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_text_part.py b/runtime/python/prompty/tests/model/test_text_part.py new file mode 100644 index 00000000..3cdfa078 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_text_part.py @@ -0,0 +1,72 @@ + +import json +import yaml + +from prompty.model import TextPart + + +def test_load_json_textpart(): + json_data = r''' + { + "value": "Hello, world!" + } + ''' + data = json.loads(json_data, strict=False) + instance = TextPart.load(data) + assert instance is not None + assert instance.value == "Hello, world!" + + +def test_load_yaml_textpart(): + yaml_data = r''' + value: Hello, world! + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = TextPart.load(data) + assert instance is not None + assert instance.value == "Hello, world!" + +def test_roundtrip_json_textpart(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "value": "Hello, world!" + } + ''' + original_data = json.loads(json_data, strict=False) + instance = TextPart.load(original_data) + saved_data = instance.save() + reloaded = TextPart.load(saved_data) + assert reloaded is not None + assert reloaded.value == "Hello, world!" + +def test_to_json_textpart(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "value": "Hello, world!" + } + ''' + data = json.loads(json_data, strict=False) + instance = TextPart.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_textpart(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "value": "Hello, world!" + } + ''' + data = json.loads(json_data, strict=False) + instance = TextPart.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_thinking_chunk.py b/runtime/python/prompty/tests/model/test_thinking_chunk.py new file mode 100644 index 00000000..cfdca94f --- /dev/null +++ b/runtime/python/prompty/tests/model/test_thinking_chunk.py @@ -0,0 +1,72 @@ + +import json +import yaml + +from prompty.model import ThinkingChunk + + +def test_load_json_thinkingchunk(): + json_data = r''' + { + "value": "Let me consider..." + } + ''' + data = json.loads(json_data, strict=False) + instance = ThinkingChunk.load(data) + assert instance is not None + assert instance.value == "Let me consider..." + + +def test_load_yaml_thinkingchunk(): + yaml_data = r''' + value: Let me consider... + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = ThinkingChunk.load(data) + assert instance is not None + assert instance.value == "Let me consider..." + +def test_roundtrip_json_thinkingchunk(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "value": "Let me consider..." + } + ''' + original_data = json.loads(json_data, strict=False) + instance = ThinkingChunk.load(original_data) + saved_data = instance.save() + reloaded = ThinkingChunk.load(saved_data) + assert reloaded is not None + assert reloaded.value == "Let me consider..." + +def test_to_json_thinkingchunk(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "value": "Let me consider..." + } + ''' + data = json.loads(json_data, strict=False) + instance = ThinkingChunk.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_thinkingchunk(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "value": "Let me consider..." + } + ''' + data = json.loads(json_data, strict=False) + instance = ThinkingChunk.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_tool.py b/runtime/python/prompty/tests/model/test_tool.py index d2545228..1ed1136c 100644 --- a/runtime/python/prompty/tests/model/test_tool.py +++ b/runtime/python/prompty/tests/model/test_tool.py @@ -1,12 +1,12 @@ -import json +import json import yaml from prompty.model import Tool def test_load_json_tool(): - json_data = r""" + json_data = r''' { "name": "my-tool", "kind": "function", @@ -15,24 +15,24 @@ def test_load_json_tool(): "input": "value" } } - """ + ''' data = json.loads(json_data, strict=False) instance = Tool.load(data) assert instance is not None assert instance.name == "my-tool" assert instance.kind == "function" assert instance.description == "A description of the tool" - + def test_load_yaml_tool(): - yaml_data = r""" + yaml_data = r''' name: my-tool kind: function description: A description of the tool bindings: input: value - """ + ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = Tool.load(data) assert instance is not None @@ -40,10 +40,9 @@ def test_load_yaml_tool(): assert instance.kind == "function" assert instance.description == "A description of the tool" - def test_roundtrip_json_tool(): """Test that load -> save -> load produces equivalent data.""" - json_data = r""" + json_data = r''' { "name": "my-tool", "kind": "function", @@ -52,7 +51,7 @@ def test_roundtrip_json_tool(): "input": "value" } } - """ + ''' original_data = json.loads(json_data, strict=False) instance = Tool.load(original_data) saved_data = instance.save() @@ -62,10 +61,9 @@ def test_roundtrip_json_tool(): assert reloaded.kind == "function" assert reloaded.description == "A description of the tool" - def test_to_json_tool(): """Test that to_json produces valid JSON.""" - json_data = r""" + json_data = r''' { "name": "my-tool", "kind": "function", @@ -74,7 +72,7 @@ def test_to_json_tool(): "input": "value" } } - """ + ''' data = json.loads(json_data, strict=False) instance = Tool.load(data) json_output = instance.to_json() @@ -82,10 +80,9 @@ def test_to_json_tool(): parsed = json.loads(json_output) assert isinstance(parsed, dict) - def test_to_yaml_tool(): """Test that to_yaml produces valid YAML.""" - json_data = r""" + json_data = r''' { "name": "my-tool", "kind": "function", @@ -94,10 +91,12 @@ def test_to_yaml_tool(): "input": "value" } } - """ + ''' data = json.loads(json_data, strict=False) instance = Tool.load(data) yaml_output = instance.to_yaml() assert yaml_output is not None parsed = yaml.safe_load(yaml_output) assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_tool_call.py b/runtime/python/prompty/tests/model/test_tool_call.py new file mode 100644 index 00000000..a72ede28 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_tool_call.py @@ -0,0 +1,88 @@ + +import json +import yaml + +from prompty.model import ToolCall + + +def test_load_json_toolcall(): + json_data = r''' + { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } + ''' + data = json.loads(json_data, strict=False) + instance = ToolCall.load(data) + assert instance is not None + assert instance.id == "call_abc123" + assert instance.name == "get_weather" + assert instance.arguments == "{"city": "Paris"}" + + +def test_load_yaml_toolcall(): + yaml_data = r''' + id: call_abc123 + name: get_weather + arguments: "{\"city\": \"Paris\"}" + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = ToolCall.load(data) + assert instance is not None + assert instance.id == "call_abc123" + assert instance.name == "get_weather" + assert instance.arguments == "{"city": "Paris"}" + +def test_roundtrip_json_toolcall(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } + ''' + original_data = json.loads(json_data, strict=False) + instance = ToolCall.load(original_data) + saved_data = instance.save() + reloaded = ToolCall.load(saved_data) + assert reloaded is not None + assert reloaded.id == "call_abc123" + assert reloaded.name == "get_weather" + assert reloaded.arguments == "{"city": "Paris"}" + +def test_to_json_toolcall(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } + ''' + data = json.loads(json_data, strict=False) + instance = ToolCall.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_toolcall(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } + ''' + data = json.loads(json_data, strict=False) + instance = ToolCall.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_tool_chunk.py b/runtime/python/prompty/tests/model/test_tool_chunk.py new file mode 100644 index 00000000..c98e7832 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_tool_chunk.py @@ -0,0 +1,88 @@ + +import json +import yaml + +from prompty.model import ToolChunk + + +def test_load_json_toolchunk(): + json_data = r''' + { + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } + } + ''' + data = json.loads(json_data, strict=False) + instance = ToolChunk.load(data) + assert instance is not None + + +def test_load_yaml_toolchunk(): + yaml_data = r''' + toolCall: + id: call_abc123 + name: get_weather + arguments: "{\"city\": \"Paris\"}" + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = ToolChunk.load(data) + assert instance is not None + +def test_roundtrip_json_toolchunk(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } + } + ''' + original_data = json.loads(json_data, strict=False) + instance = ToolChunk.load(original_data) + saved_data = instance.save() + reloaded = ToolChunk.load(saved_data) + assert reloaded is not None + +def test_to_json_toolchunk(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } + } + ''' + data = json.loads(json_data, strict=False) + instance = ToolChunk.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_toolchunk(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "toolCall": { + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" + } + } + ''' + data = json.loads(json_data, strict=False) + instance = ToolChunk.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/python/prompty/tests/model/test_tool_result.py b/runtime/python/prompty/tests/model/test_tool_result.py new file mode 100644 index 00000000..5c1dbb25 --- /dev/null +++ b/runtime/python/prompty/tests/model/test_tool_result.py @@ -0,0 +1,91 @@ + +import json +import yaml + +from prompty.model import ToolResult + + +def test_load_json_toolresult(): + json_data = r''' + { + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] + } + ''' + data = json.loads(json_data, strict=False) + instance = ToolResult.load(data) + assert instance is not None + + +def test_load_yaml_toolresult(): + yaml_data = r''' + parts: + - kind: text + value: 72°F and sunny + + ''' + data = yaml.load(yaml_data, Loader=yaml.FullLoader) + instance = ToolResult.load(data) + assert instance is not None + +def test_roundtrip_json_toolresult(): + """Test that load -> save -> load produces equivalent data.""" + json_data = r''' + { + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] + } + ''' + original_data = json.loads(json_data, strict=False) + instance = ToolResult.load(original_data) + saved_data = instance.save() + reloaded = ToolResult.load(saved_data) + assert reloaded is not None + +def test_to_json_toolresult(): + """Test that to_json produces valid JSON.""" + json_data = r''' + { + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] + } + ''' + data = json.loads(json_data, strict=False) + instance = ToolResult.load(data) + json_output = instance.to_json() + assert json_output is not None + parsed = json.loads(json_output) + assert isinstance(parsed, dict) + +def test_to_yaml_toolresult(): + """Test that to_yaml produces valid YAML.""" + json_data = r''' + { + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] + } + ''' + data = json.loads(json_data, strict=False) + instance = ToolResult.load(data) + yaml_output = instance.to_yaml() + assert yaml_output is not None + parsed = yaml.safe_load(yaml_output) + assert isinstance(parsed, dict) + + diff --git a/runtime/rust/prompty/src/model/binding.rs b/runtime/rust/prompty/src/model/binding.rs index a103de3e..98a783e3 100644 --- a/runtime/rust/prompty/src/model/binding.rs +++ b/runtime/rust/prompty/src/model/binding.rs @@ -1,7 +1,11 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; + + /// Represents a binding between an input property and a tool parameter. #[derive(Debug, Clone, Default)] pub struct Binding { @@ -40,16 +44,8 @@ impl Binding { return Self::load_from_value(&expansion, ctx); } Self { - name: value - .get("name") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - input: value - .get("input") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), + name: value.get("name").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + input: value.get("input").and_then(|v| v.as_str()).unwrap_or_default().to_string(), } } @@ -59,16 +55,10 @@ impl Binding { pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { let mut result = serde_json::Map::new(); if !self.name.is_empty() { - result.insert( - "name".to_string(), - serde_json::Value::String(self.name.clone()), - ); + result.insert("name".to_string(), serde_json::Value::String(self.name.clone())); } if !self.input.is_empty() { - result.insert( - "input".to_string(), - serde_json::Value::String(self.input.clone()), - ); + result.insert("input".to_string(), serde_json::Value::String(self.input.clone())); } ctx.process_dict(serde_json::Value::Object(result)) } @@ -83,3 +73,5 @@ impl Binding { serde_yaml::to_string(&self.to_value(ctx)) } } + + diff --git a/runtime/rust/prompty/src/model/connection.rs b/runtime/rust/prompty/src/model/connection.rs index ea568ce6..8520b65d 100644 --- a/runtime/rust/prompty/src/model/connection.rs +++ b/runtime/rust/prompty/src/model/connection.rs @@ -1,7 +1,12 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; + + + /// Variant-specific data for [`Connection`], discriminated by `kind`. #[derive(Debug, Clone)] pub enum ConnectionKind { @@ -100,101 +105,38 @@ impl Connection { let kind_str = value.get("kind").and_then(|v| v.as_str()).unwrap_or(""); let kind = match kind_str { "reference" => ConnectionKind::Reference { - name: value - .get("name") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - target: value - .get("target") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), + name: value.get("name").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + target: value.get("target").and_then(|v| v.as_str()).map(|s| s.to_string()), }, "remote" => ConnectionKind::Remote { - name: value - .get("name") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - endpoint: value - .get("endpoint") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), + name: value.get("name").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + endpoint: value.get("endpoint").and_then(|v| v.as_str()).unwrap_or_default().to_string(), }, "key" => ConnectionKind::ApiKey { - endpoint: value - .get("endpoint") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - api_key: value - .get("apiKey") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), + endpoint: value.get("endpoint").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + api_key: value.get("apiKey").and_then(|v| v.as_str()).unwrap_or_default().to_string(), }, "anonymous" => ConnectionKind::Anonymous { - endpoint: value - .get("endpoint") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), + endpoint: value.get("endpoint").and_then(|v| v.as_str()).unwrap_or_default().to_string(), }, "foundry" => ConnectionKind::Foundry { - endpoint: value - .get("endpoint") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - name: value - .get("name") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), - connection_type: value - .get("connectionType") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), + endpoint: value.get("endpoint").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + name: value.get("name").and_then(|v| v.as_str()).map(|s| s.to_string()), + connection_type: value.get("connectionType").and_then(|v| v.as_str()).map(|s| s.to_string()), }, "oauth" => ConnectionKind::OAuth { - endpoint: value - .get("endpoint") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - client_id: value - .get("clientId") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - client_secret: value - .get("clientSecret") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - token_url: value - .get("tokenUrl") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - scopes: value.get("scopes").and_then(|v| v.as_array()).map(|arr| { - arr.iter() - .filter_map(|v| v.as_str().map(|s| s.to_string())) - .collect() - }), + endpoint: value.get("endpoint").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + client_id: value.get("clientId").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + client_secret: value.get("clientSecret").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + token_url: value.get("tokenUrl").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + scopes: value.get("scopes").and_then(|v| v.as_array()).map(|arr| arr.iter().filter_map(|v| v.as_str().map(|s| s.to_string())).collect()), }, _ => ConnectionKind::default(), }; Self { - authentication_mode: value - .get("authenticationMode") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), - usage_description: value - .get("usageDescription") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), - kind, + authentication_mode: value.get("authenticationMode").and_then(|v| v.as_str()).map(|s| s.to_string()), + usage_description: value.get("usageDescription").and_then(|v| v.as_str()).map(|s| s.to_string()), + kind: kind, } } @@ -216,128 +158,72 @@ impl Connection { pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { let mut result = serde_json::Map::new(); // Write the discriminator - result.insert( - "kind".to_string(), - serde_json::Value::String(self.kind_str().to_string()), - ); + result.insert("kind".to_string(), serde_json::Value::String(self.kind_str().to_string())); // Write base fields if let Some(ref val) = self.authentication_mode { - result.insert( - "authenticationMode".to_string(), - serde_json::Value::String(val.clone()), - ); + result.insert("authenticationMode".to_string(), serde_json::Value::String(val.clone())); } if let Some(ref val) = self.usage_description { - result.insert( - "usageDescription".to_string(), - serde_json::Value::String(val.clone()), - ); + result.insert("usageDescription".to_string(), serde_json::Value::String(val.clone())); } // Write variant-specific fields match &self.kind { - ConnectionKind::Reference { name, target, .. } => { + ConnectionKind::Reference { name, target, .. } => { if !name.is_empty() { - result.insert("name".to_string(), serde_json::Value::String(name.clone())); - } + result.insert("name".to_string(), serde_json::Value::String(name.clone())); + } if let Some(val) = target { - result.insert("target".to_string(), serde_json::Value::String(val.clone())); - } + result.insert("target".to_string(), serde_json::Value::String(val.clone())); + } } - ConnectionKind::Remote { name, endpoint, .. } => { + ConnectionKind::Remote { name, endpoint, .. } => { if !name.is_empty() { - result.insert("name".to_string(), serde_json::Value::String(name.clone())); - } + result.insert("name".to_string(), serde_json::Value::String(name.clone())); + } if !endpoint.is_empty() { - result.insert( - "endpoint".to_string(), - serde_json::Value::String(endpoint.clone()), - ); - } + result.insert("endpoint".to_string(), serde_json::Value::String(endpoint.clone())); + } } - ConnectionKind::ApiKey { - endpoint, api_key, .. - } => { + ConnectionKind::ApiKey { endpoint, api_key, .. } => { if !endpoint.is_empty() { - result.insert( - "endpoint".to_string(), - serde_json::Value::String(endpoint.clone()), - ); - } + result.insert("endpoint".to_string(), serde_json::Value::String(endpoint.clone())); + } if !api_key.is_empty() { - result.insert( - "apiKey".to_string(), - serde_json::Value::String(api_key.clone()), - ); - } + result.insert("apiKey".to_string(), serde_json::Value::String(api_key.clone())); + } } - ConnectionKind::Anonymous { endpoint, .. } => { + ConnectionKind::Anonymous { endpoint, .. } => { if !endpoint.is_empty() { - result.insert( - "endpoint".to_string(), - serde_json::Value::String(endpoint.clone()), - ); - } + result.insert("endpoint".to_string(), serde_json::Value::String(endpoint.clone())); + } } - ConnectionKind::Foundry { - endpoint, - name, - connection_type, - .. - } => { + ConnectionKind::Foundry { endpoint, name, connection_type, .. } => { if !endpoint.is_empty() { - result.insert( - "endpoint".to_string(), - serde_json::Value::String(endpoint.clone()), - ); - } + result.insert("endpoint".to_string(), serde_json::Value::String(endpoint.clone())); + } if let Some(val) = name { - result.insert("name".to_string(), serde_json::Value::String(val.clone())); - } + result.insert("name".to_string(), serde_json::Value::String(val.clone())); + } if let Some(val) = connection_type { - result.insert( - "connectionType".to_string(), - serde_json::Value::String(val.clone()), - ); - } + result.insert("connectionType".to_string(), serde_json::Value::String(val.clone())); + } } - ConnectionKind::OAuth { - endpoint, - client_id, - client_secret, - token_url, - scopes, - .. - } => { + ConnectionKind::OAuth { endpoint, client_id, client_secret, token_url, scopes, .. } => { if !endpoint.is_empty() { - result.insert( - "endpoint".to_string(), - serde_json::Value::String(endpoint.clone()), - ); - } + result.insert("endpoint".to_string(), serde_json::Value::String(endpoint.clone())); + } if !client_id.is_empty() { - result.insert( - "clientId".to_string(), - serde_json::Value::String(client_id.clone()), - ); - } + result.insert("clientId".to_string(), serde_json::Value::String(client_id.clone())); + } if !client_secret.is_empty() { - result.insert( - "clientSecret".to_string(), - serde_json::Value::String(client_secret.clone()), - ); - } + result.insert("clientSecret".to_string(), serde_json::Value::String(client_secret.clone())); + } if !token_url.is_empty() { - result.insert( - "tokenUrl".to_string(), - serde_json::Value::String(token_url.clone()), - ); - } + result.insert("tokenUrl".to_string(), serde_json::Value::String(token_url.clone())); + } if let Some(items) = scopes { - result.insert( - "scopes".to_string(), - serde_json::to_value(items).unwrap_or(serde_json::Value::Null), - ); - } + result.insert("scopes".to_string(), serde_json::to_value(items).unwrap_or(serde_json::Value::Null)); + } } } ctx.process_dict(serde_json::Value::Object(result)) @@ -353,3 +239,17 @@ impl Connection { serde_yaml::to_string(&self.to_value(ctx)) } } + + + + + + + + + + + + + + diff --git a/runtime/rust/prompty/src/model/content_part.rs b/runtime/rust/prompty/src/model/content_part.rs new file mode 100644 index 00000000..61caa008 --- /dev/null +++ b/runtime/rust/prompty/src/model/content_part.rs @@ -0,0 +1,180 @@ + + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use super::context::{LoadContext, SaveContext}; + + + + +/// Variant-specific data for [`ContentPart`], discriminated by `kind`. +#[derive(Debug, Clone)] +pub enum ContentPartKind { + /// `kind` = `"text"` + TextPart { + /// The text content + value: String, + }, + /// `kind` = `"image"` + ImagePart { + /// URL or base64-encoded image data + source: String, + /// Detail level hint for the model (e.g., 'auto', 'low', 'high') + detail: Option, + /// MIME type of the image (e.g., 'image/png') + media_type: Option, + }, + /// `kind` = `"file"` + FilePart { + /// URL or base64-encoded file data + source: String, + /// MIME type of the file (e.g., 'application/pdf') + media_type: Option, + }, + /// `kind` = `"audio"` + AudioPart { + /// URL or base64-encoded audio data + source: String, + /// MIME type of the audio (e.g., 'audio/wav') + media_type: Option, + }, +} + +impl Default for ContentPartKind { + fn default() -> Self { + ContentPartKind::TextPart { + value: String::from(""), + } + } +} +/// A part of a message's content. Content parts are discriminated on the `kind` field and represent the different modalities that can appear in a message. +#[derive(Debug, Clone, Default)] +pub struct ContentPart { + /// Variant-specific data, discriminated by `kind`. + pub kind: ContentPartKind, +} + +impl ContentPart { + /// Create a new ContentPart with default values. + pub fn new() -> Self { + Self::default() + } + + /// Load ContentPart from a JSON string. + pub fn from_json(json: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_json::from_str(json)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load ContentPart from a YAML string. + pub fn from_yaml(yaml: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_yaml::from_str(yaml)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load ContentPart from a `serde_json::Value`. + /// + /// Calls `ctx.process_input` before field extraction. + pub fn load_from_value(value: &serde_json::Value, ctx: &LoadContext) -> Self { + let value = ctx.process_input(value.clone()); + let kind_str = value.get("kind").and_then(|v| v.as_str()).unwrap_or(""); + let kind = match kind_str { + "text" => ContentPartKind::TextPart { + value: value.get("value").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + }, + "image" => ContentPartKind::ImagePart { + source: value.get("source").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + detail: value.get("detail").and_then(|v| v.as_str()).map(|s| s.to_string()), + media_type: value.get("mediaType").and_then(|v| v.as_str()).map(|s| s.to_string()), + }, + "file" => ContentPartKind::FilePart { + source: value.get("source").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + media_type: value.get("mediaType").and_then(|v| v.as_str()).map(|s| s.to_string()), + }, + "audio" => ContentPartKind::AudioPart { + source: value.get("source").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + media_type: value.get("mediaType").and_then(|v| v.as_str()).map(|s| s.to_string()), + }, + _ => ContentPartKind::default(), + }; + Self { + kind: kind, + } + } + + /// Returns the `kind` discriminator string for this instance. + pub fn kind_str(&self) -> &str { + match &self.kind { + ContentPartKind::TextPart { .. } => "text", + ContentPartKind::ImagePart { .. } => "image", + ContentPartKind::FilePart { .. } => "file", + ContentPartKind::AudioPart { .. } => "audio", + } + } + + /// Serialize ContentPart to a `serde_json::Value`. + /// + /// Calls `ctx.process_dict` after serialization. + pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { + let mut result = serde_json::Map::new(); + // Write the discriminator + result.insert("kind".to_string(), serde_json::Value::String(self.kind_str().to_string())); + // Write base fields + // Write variant-specific fields + match &self.kind { + ContentPartKind::TextPart { value, .. } => { + if !value.is_empty() { + result.insert("value".to_string(), serde_json::Value::String(value.clone())); + } + } + ContentPartKind::ImagePart { source, detail, media_type, .. } => { + if !source.is_empty() { + result.insert("source".to_string(), serde_json::Value::String(source.clone())); + } + if let Some(val) = detail { + result.insert("detail".to_string(), serde_json::Value::String(val.clone())); + } + if let Some(val) = media_type { + result.insert("mediaType".to_string(), serde_json::Value::String(val.clone())); + } + } + ContentPartKind::FilePart { source, media_type, .. } => { + if !source.is_empty() { + result.insert("source".to_string(), serde_json::Value::String(source.clone())); + } + if let Some(val) = media_type { + result.insert("mediaType".to_string(), serde_json::Value::String(val.clone())); + } + } + ContentPartKind::AudioPart { source, media_type, .. } => { + if !source.is_empty() { + result.insert("source".to_string(), serde_json::Value::String(source.clone())); + } + if let Some(val) = media_type { + result.insert("mediaType".to_string(), serde_json::Value::String(val.clone())); + } + } + } + ctx.process_dict(serde_json::Value::Object(result)) + } + + /// Serialize ContentPart to a JSON string. + pub fn to_json(&self, ctx: &SaveContext) -> Result { + serde_json::to_string_pretty(&self.to_value(ctx)) + } + + /// Serialize ContentPart to a YAML string. + pub fn to_yaml(&self, ctx: &SaveContext) -> Result { + serde_yaml::to_string(&self.to_value(ctx)) + } +} + + + + + + + + + + diff --git a/runtime/rust/prompty/src/model/context.rs b/runtime/rust/prompty/src/model/context.rs index 0afa09c6..7935d7ca 100644 --- a/runtime/rust/prompty/src/model/context.rs +++ b/runtime/rust/prompty/src/model/context.rs @@ -1,3 +1,4 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. // Prompty Context @@ -17,7 +18,6 @@ pub type PostSaveFn = Box serde_json::Value + Send /// /// Provides hooks for pre-processing input data before parsing and /// post-processing output data after instantiation. -#[derive(Default)] pub struct LoadContext { /// Optional callback to transform input data before parsing. pub pre_process: Option, @@ -34,6 +34,15 @@ impl std::fmt::Debug for LoadContext { } } +impl Default for LoadContext { + fn default() -> Self { + Self { + pre_process: None, + post_process: None, + } + } +} + impl LoadContext { /// Create a new empty LoadContext. pub fn new() -> Self { @@ -152,11 +161,7 @@ impl SaveContext { } /// Convert a value to a JSON string. - pub fn to_json( - &self, - data: &serde_json::Value, - indent: bool, - ) -> Result { + pub fn to_json(&self, data: &serde_json::Value, indent: bool) -> Result { if indent { serde_json::to_string_pretty(data) } else { diff --git a/runtime/rust/prompty/src/model/format_config.rs b/runtime/rust/prompty/src/model/format_config.rs index 1c5e2c16..75482e8e 100644 --- a/runtime/rust/prompty/src/model/format_config.rs +++ b/runtime/rust/prompty/src/model/format_config.rs @@ -1,7 +1,11 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; + + /// Template format definition #[derive(Debug, Clone, Default)] pub struct FormatConfig { @@ -42,16 +46,9 @@ impl FormatConfig { return Self::load_from_value(&expansion, ctx); } Self { - kind: value - .get("kind") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), + kind: value.get("kind").and_then(|v| v.as_str()).unwrap_or_default().to_string(), strict: value.get("strict").and_then(|v| v.as_bool()), - options: value - .get("options") - .cloned() - .unwrap_or(serde_json::Value::Null), + options: value.get("options").cloned().unwrap_or(serde_json::Value::Null), } } @@ -61,10 +58,7 @@ impl FormatConfig { pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { let mut result = serde_json::Map::new(); if !self.kind.is_empty() { - result.insert( - "kind".to_string(), - serde_json::Value::String(self.kind.clone()), - ); + result.insert("kind".to_string(), serde_json::Value::String(self.kind.clone())); } if let Some(val) = self.strict { result.insert("strict".to_string(), serde_json::Value::Bool(val)); @@ -90,3 +84,5 @@ impl FormatConfig { self.options.as_object() } } + + diff --git a/runtime/rust/prompty/src/model/guardrail_result.rs b/runtime/rust/prompty/src/model/guardrail_result.rs new file mode 100644 index 00000000..71842285 --- /dev/null +++ b/runtime/rust/prompty/src/model/guardrail_result.rs @@ -0,0 +1,76 @@ + + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use super::context::{LoadContext, SaveContext}; + + + +/// The result of a guardrail evaluation. Guardrails are safety checks that run at specific phases of the agent loop and can allow, deny, or rewrite content. +#[derive(Debug, Clone, Default)] +pub struct GuardrailResult { + /// Whether the content passed the guardrail check + pub allowed: bool, + /// Explanation of why the content was allowed or denied + pub reason: Option, + /// Optional rewritten content to replace the original + pub rewrite: Option, +} + +impl GuardrailResult { + /// Create a new GuardrailResult with default values. + pub fn new() -> Self { + Self::default() + } + + /// Load GuardrailResult from a JSON string. + pub fn from_json(json: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_json::from_str(json)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load GuardrailResult from a YAML string. + pub fn from_yaml(yaml: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_yaml::from_str(yaml)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load GuardrailResult from a `serde_json::Value`. + /// + /// Calls `ctx.process_input` before field extraction. + pub fn load_from_value(value: &serde_json::Value, ctx: &LoadContext) -> Self { + let value = ctx.process_input(value.clone()); + Self { + allowed: value.get("allowed").and_then(|v| v.as_bool()).unwrap_or(false), + reason: value.get("reason").and_then(|v| v.as_str()).map(|s| s.to_string()), + rewrite: value.get("rewrite").cloned(), + } + } + + /// Serialize GuardrailResult to a `serde_json::Value`. + /// + /// Calls `ctx.process_dict` after serialization. + pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { + let mut result = serde_json::Map::new(); + result.insert("allowed".to_string(), serde_json::Value::Bool(self.allowed)); + if let Some(ref val) = self.reason { + result.insert("reason".to_string(), serde_json::Value::String(val.clone())); + } + if let Some(ref val) = self.rewrite { + result.insert("rewrite".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); + } + ctx.process_dict(serde_json::Value::Object(result)) + } + + /// Serialize GuardrailResult to a JSON string. + pub fn to_json(&self, ctx: &SaveContext) -> Result { + serde_json::to_string_pretty(&self.to_value(ctx)) + } + + /// Serialize GuardrailResult to a YAML string. + pub fn to_yaml(&self, ctx: &SaveContext) -> Result { + serde_yaml::to_string(&self.to_value(ctx)) + } +} + + diff --git a/runtime/rust/prompty/src/model/mcp_approval_mode.rs b/runtime/rust/prompty/src/model/mcp_approval_mode.rs index e406e8c9..77836ed1 100644 --- a/runtime/rust/prompty/src/model/mcp_approval_mode.rs +++ b/runtime/rust/prompty/src/model/mcp_approval_mode.rs @@ -1,7 +1,11 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; + + /// The approval mode for MCP server tools. When kind is "specify", use alwaysRequireApprovalTools and neverRequireApprovalTools to control per-tool approval. For "always" and "never", those fields are ignored. #[derive(Debug, Clone, Default)] pub struct McpApprovalMode { @@ -42,27 +46,9 @@ impl McpApprovalMode { return Self::load_from_value(&expansion, ctx); } Self { - kind: value - .get("kind") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - always_require_approval_tools: value - .get("alwaysRequireApprovalTools") - .and_then(|v| v.as_array()) - .map(|arr| { - arr.iter() - .filter_map(|v| v.as_str().map(|s| s.to_string())) - .collect() - }), - never_require_approval_tools: value - .get("neverRequireApprovalTools") - .and_then(|v| v.as_array()) - .map(|arr| { - arr.iter() - .filter_map(|v| v.as_str().map(|s| s.to_string())) - .collect() - }), + kind: value.get("kind").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + always_require_approval_tools: value.get("alwaysRequireApprovalTools").and_then(|v| v.as_array()).map(|arr| arr.iter().filter_map(|v| v.as_str().map(|s| s.to_string())).collect()), + never_require_approval_tools: value.get("neverRequireApprovalTools").and_then(|v| v.as_array()).map(|arr| arr.iter().filter_map(|v| v.as_str().map(|s| s.to_string())).collect()), } } @@ -72,22 +58,13 @@ impl McpApprovalMode { pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { let mut result = serde_json::Map::new(); if !self.kind.is_empty() { - result.insert( - "kind".to_string(), - serde_json::Value::String(self.kind.clone()), - ); + result.insert("kind".to_string(), serde_json::Value::String(self.kind.clone())); } if let Some(ref items) = self.always_require_approval_tools { - result.insert( - "alwaysRequireApprovalTools".to_string(), - serde_json::to_value(items).unwrap_or(serde_json::Value::Null), - ); + result.insert("alwaysRequireApprovalTools".to_string(), serde_json::to_value(items).unwrap_or(serde_json::Value::Null)); } if let Some(ref items) = self.never_require_approval_tools { - result.insert( - "neverRequireApprovalTools".to_string(), - serde_json::to_value(items).unwrap_or(serde_json::Value::Null), - ); + result.insert("neverRequireApprovalTools".to_string(), serde_json::to_value(items).unwrap_or(serde_json::Value::Null)); } ctx.process_dict(serde_json::Value::Object(result)) } @@ -102,3 +79,5 @@ impl McpApprovalMode { serde_yaml::to_string(&self.to_value(ctx)) } } + + diff --git a/runtime/rust/prompty/src/model/message.rs b/runtime/rust/prompty/src/model/message.rs new file mode 100644 index 00000000..c9bdb903 --- /dev/null +++ b/runtime/rust/prompty/src/model/message.rs @@ -0,0 +1,118 @@ + + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use super::context::{LoadContext, SaveContext}; + +use super::content_part::ContentPart; + + + +/// A message in a conversation. Messages have a role and a list of content parts representing the different modalities of the message content. +#[derive(Debug, Clone, Default)] +pub struct Message { + /// The role of the message sender + pub role: String, + /// The content parts of the message + pub parts: serde_json::Value, + /// Optional metadata associated with the message + pub metadata: serde_json::Value, +} + +impl Message { + /// Create a new Message with default values. + pub fn new() -> Self { + Self::default() + } + + /// Load Message from a JSON string. + pub fn from_json(json: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_json::from_str(json)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load Message from a YAML string. + pub fn from_yaml(yaml: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_yaml::from_str(yaml)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load Message from a `serde_json::Value`. + /// + /// Calls `ctx.process_input` before field extraction. + pub fn load_from_value(value: &serde_json::Value, ctx: &LoadContext) -> Self { + let value = ctx.process_input(value.clone()); + Self { + role: value.get("role").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + parts: value.get("parts").cloned().unwrap_or(serde_json::Value::Null), + metadata: value.get("metadata").cloned().unwrap_or(serde_json::Value::Null), + } + } + + /// Serialize Message to a `serde_json::Value`. + /// + /// Calls `ctx.process_dict` after serialization. + pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { + let mut result = serde_json::Map::new(); + if !self.role.is_empty() { + result.insert("role".to_string(), serde_json::Value::String(self.role.clone())); + } + if !self.parts.is_null() { + result.insert("parts".to_string(), self.parts.clone()); + } + if !self.metadata.is_null() { + result.insert("metadata".to_string(), self.metadata.clone()); + } + ctx.process_dict(serde_json::Value::Object(result)) + } + + /// Serialize Message to a JSON string. + pub fn to_json(&self, ctx: &SaveContext) -> Result { + serde_json::to_string_pretty(&self.to_value(ctx)) + } + + /// Serialize Message to a YAML string. + pub fn to_yaml(&self, ctx: &SaveContext) -> Result { + serde_yaml::to_string(&self.to_value(ctx)) + } + /// Returns typed `Vec` by parsing the stored JSON value. + /// Handles both array format `[{...}]` and dict format `{"name": {...}}`. + /// Returns `None` if the field is null or cannot be parsed. + pub fn as_parts(&self) -> Option> { + match &self.parts { + serde_json::Value::Array(arr) => { + Some(arr.iter().map(|v| ContentPart::load_from_value(v, &LoadContext::default())).collect()) + } + serde_json::Value::Object(obj) => { + let result: Vec = obj + .iter() + .filter_map(|(name, value)| { + if value.is_array() { + // Invalid format: skip entries with array values. + // 'parts' must be a flat list or name-keyed dict. + return None; + } + let mut v = if value.is_object() { + value.clone() + } else { + serde_json::json!({ "value": value }) + }; + if let serde_json::Value::Object(ref mut m) = v { + m.entry("name".to_string()).or_insert_with(|| serde_json::Value::String(name.clone())); + } + Some(ContentPart::load_from_value(&v, &LoadContext::default())) + }) + .collect(); + Some(result) + } + _ => None, + } + } + /// Returns typed reference to the map if the field is an object. + /// Returns `None` if the field is null or not an object. + pub fn as_metadata_dict(&self) -> Option<&serde_json::Map> { + self.metadata.as_object() + } +} + + diff --git a/runtime/rust/prompty/src/model/mod.rs b/runtime/rust/prompty/src/model/mod.rs index ba9059be..ad0dbccf 100644 --- a/runtime/rust/prompty/src/model/mod.rs +++ b/runtime/rust/prompty/src/model/mod.rs @@ -1,3 +1,4 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. pub mod context; @@ -12,7 +13,6 @@ pub use connection::*; pub mod model_options; pub use model_options::*; -#[allow(clippy::module_inception)] pub mod model; pub use model::*; @@ -36,3 +36,25 @@ pub use template::*; pub mod prompty; pub use prompty::*; + +pub mod content_part; +pub use content_part::*; + +pub mod message; +pub use message::*; + +pub mod tool_call; +pub use tool_call::*; + +pub mod tool_result; +pub use tool_result::*; + +pub mod stream_chunk; +pub use stream_chunk::*; + +pub mod guardrail_result; +pub use guardrail_result::*; + +pub mod model_info; +pub use model_info::*; + diff --git a/runtime/rust/prompty/src/model/model.rs b/runtime/rust/prompty/src/model/model.rs index 11534bb5..1b738781 100644 --- a/runtime/rust/prompty/src/model/model.rs +++ b/runtime/rust/prompty/src/model/model.rs @@ -1,9 +1,13 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; use super::model_options::ModelOptions; + + /// Model for defining the structure and behavior of AI agents. This model includes properties for specifying the model's provider, connection details, and various options. It allows for flexible configuration of AI models to suit different use cases and requirements. #[derive(Debug, Clone, Default)] pub struct Model { @@ -48,27 +52,11 @@ impl Model { return Self::load_from_value(&expansion, ctx); } Self { - id: value - .get("id") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - provider: value - .get("provider") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), - api_type: value - .get("apiType") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), - connection: value - .get("connection") - .cloned() - .unwrap_or(serde_json::Value::Null), - options: value - .get("options") - .filter(|v| v.is_object() || v.is_array() || v.is_string()) - .map(|v| ModelOptions::load_from_value(v, ctx)), + id: value.get("id").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + provider: value.get("provider").and_then(|v| v.as_str()).map(|s| s.to_string()), + api_type: value.get("apiType").and_then(|v| v.as_str()).map(|s| s.to_string()), + connection: value.get("connection").cloned().unwrap_or(serde_json::Value::Null), + options: value.get("options").filter(|v| v.is_object() || v.is_array() || v.is_string()).map(|v| ModelOptions::load_from_value(v, ctx)), } } @@ -81,16 +69,10 @@ impl Model { result.insert("id".to_string(), serde_json::Value::String(self.id.clone())); } if let Some(ref val) = self.provider { - result.insert( - "provider".to_string(), - serde_json::Value::String(val.clone()), - ); + result.insert("provider".to_string(), serde_json::Value::String(val.clone())); } if let Some(ref val) = self.api_type { - result.insert( - "apiType".to_string(), - serde_json::Value::String(val.clone()), - ); + result.insert("apiType".to_string(), serde_json::Value::String(val.clone())); } if !self.connection.is_null() { result.insert("connection".to_string(), self.connection.clone()); @@ -114,3 +96,5 @@ impl Model { serde_yaml::to_string(&self.to_value(ctx)) } } + + diff --git a/runtime/rust/prompty/src/model/model_info.rs b/runtime/rust/prompty/src/model/model_info.rs new file mode 100644 index 00000000..874532d0 --- /dev/null +++ b/runtime/rust/prompty/src/model/model_info.rs @@ -0,0 +1,107 @@ + + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use super::context::{LoadContext, SaveContext}; + + + +/// Information about a model available from a provider. Used by provider-level model discovery to report which models are available and their capabilities. Not all providers return all fields — implementations SHOULD populate as many fields as the provider's API supports and MAY enrich sparse results from a built-in lookup table of known models. +#[derive(Debug, Clone, Default)] +pub struct ModelInfo { + /// The model identifier (e.g., 'gpt-4o', 'claude-3-opus') + pub id: String, + /// Human-readable display name + pub display_name: Option, + /// The organization or entity that owns the model + pub owned_by: Option, + /// Maximum context window size in tokens + pub context_window: Option, + /// Input modalities the model accepts (e.g., 'text', 'image', 'audio') + pub input_modalities: Option>, + /// Output modalities the model can produce (e.g., 'text', 'audio') + pub output_modalities: Option>, + /// Additional provider-specific properties + pub additional_properties: serde_json::Value, +} + +impl ModelInfo { + /// Create a new ModelInfo with default values. + pub fn new() -> Self { + Self::default() + } + + /// Load ModelInfo from a JSON string. + pub fn from_json(json: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_json::from_str(json)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load ModelInfo from a YAML string. + pub fn from_yaml(yaml: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_yaml::from_str(yaml)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load ModelInfo from a `serde_json::Value`. + /// + /// Calls `ctx.process_input` before field extraction. + pub fn load_from_value(value: &serde_json::Value, ctx: &LoadContext) -> Self { + let value = ctx.process_input(value.clone()); + Self { + id: value.get("id").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + display_name: value.get("displayName").and_then(|v| v.as_str()).map(|s| s.to_string()), + owned_by: value.get("ownedBy").and_then(|v| v.as_str()).map(|s| s.to_string()), + context_window: value.get("contextWindow").and_then(|v| v.as_i64()).map(|n| n as i32), + input_modalities: value.get("inputModalities").and_then(|v| v.as_array()).map(|arr| arr.iter().filter_map(|v| v.as_str().map(|s| s.to_string())).collect()), + output_modalities: value.get("outputModalities").and_then(|v| v.as_array()).map(|arr| arr.iter().filter_map(|v| v.as_str().map(|s| s.to_string())).collect()), + additional_properties: value.get("additionalProperties").cloned().unwrap_or(serde_json::Value::Null), + } + } + + /// Serialize ModelInfo to a `serde_json::Value`. + /// + /// Calls `ctx.process_dict` after serialization. + pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { + let mut result = serde_json::Map::new(); + if !self.id.is_empty() { + result.insert("id".to_string(), serde_json::Value::String(self.id.clone())); + } + if let Some(ref val) = self.display_name { + result.insert("displayName".to_string(), serde_json::Value::String(val.clone())); + } + if let Some(ref val) = self.owned_by { + result.insert("ownedBy".to_string(), serde_json::Value::String(val.clone())); + } + if let Some(ref val) = self.context_window { + result.insert("contextWindow".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); + } + if let Some(ref items) = self.input_modalities { + result.insert("inputModalities".to_string(), serde_json::to_value(items).unwrap_or(serde_json::Value::Null)); + } + if let Some(ref items) = self.output_modalities { + result.insert("outputModalities".to_string(), serde_json::to_value(items).unwrap_or(serde_json::Value::Null)); + } + if !self.additional_properties.is_null() { + result.insert("additionalProperties".to_string(), self.additional_properties.clone()); + } + ctx.process_dict(serde_json::Value::Object(result)) + } + + /// Serialize ModelInfo to a JSON string. + pub fn to_json(&self, ctx: &SaveContext) -> Result { + serde_json::to_string_pretty(&self.to_value(ctx)) + } + + /// Serialize ModelInfo to a YAML string. + pub fn to_yaml(&self, ctx: &SaveContext) -> Result { + serde_yaml::to_string(&self.to_value(ctx)) + } + /// Returns typed reference to the map if the field is an object. + /// Returns `None` if the field is null or not an object. + pub fn as_additional_properties_dict(&self) -> Option<&serde_json::Map> { + self.additional_properties.as_object() + } +} + + diff --git a/runtime/rust/prompty/src/model/model_options.rs b/runtime/rust/prompty/src/model/model_options.rs index ae7b44e1..c7f8521f 100644 --- a/runtime/rust/prompty/src/model/model_options.rs +++ b/runtime/rust/prompty/src/model/model_options.rs @@ -1,7 +1,11 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; + + /// Options for configuring the behavior of the AI model. #[derive(Debug, Clone, Default)] pub struct ModelOptions { @@ -51,40 +55,16 @@ impl ModelOptions { pub fn load_from_value(value: &serde_json::Value, ctx: &LoadContext) -> Self { let value = ctx.process_input(value.clone()); Self { - frequency_penalty: value - .get("frequencyPenalty") - .and_then(|v| v.as_f64()) - .map(|n| n as f32), - max_output_tokens: value - .get("maxOutputTokens") - .and_then(|v| v.as_i64()) - .map(|n| n as i32), - presence_penalty: value - .get("presencePenalty") - .and_then(|v| v.as_f64()) - .map(|n| n as f32), + frequency_penalty: value.get("frequencyPenalty").and_then(|v| v.as_f64()).map(|n| n as f32), + max_output_tokens: value.get("maxOutputTokens").and_then(|v| v.as_i64()).map(|n| n as i32), + presence_penalty: value.get("presencePenalty").and_then(|v| v.as_f64()).map(|n| n as f32), seed: value.get("seed").and_then(|v| v.as_i64()).map(|n| n as i32), - temperature: value - .get("temperature") - .and_then(|v| v.as_f64()) - .map(|n| n as f32), + temperature: value.get("temperature").and_then(|v| v.as_f64()).map(|n| n as f32), top_k: value.get("topK").and_then(|v| v.as_i64()).map(|n| n as i32), top_p: value.get("topP").and_then(|v| v.as_f64()).map(|n| n as f32), - stop_sequences: value - .get("stopSequences") - .and_then(|v| v.as_array()) - .map(|arr| { - arr.iter() - .filter_map(|v| v.as_str().map(|s| s.to_string())) - .collect() - }), - allow_multiple_tool_calls: value - .get("allowMultipleToolCalls") - .and_then(|v| v.as_bool()), - additional_properties: value - .get("additionalProperties") - .cloned() - .unwrap_or(serde_json::Value::Null), + stop_sequences: value.get("stopSequences").and_then(|v| v.as_array()).map(|arr| arr.iter().filter_map(|v| v.as_str().map(|s| s.to_string())).collect()), + allow_multiple_tool_calls: value.get("allowMultipleToolCalls").and_then(|v| v.as_bool()), + additional_properties: value.get("additionalProperties").cloned().unwrap_or(serde_json::Value::Null), } } @@ -94,64 +74,34 @@ impl ModelOptions { pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { let mut result = serde_json::Map::new(); if let Some(ref val) = self.frequency_penalty { - result.insert( - "frequencyPenalty".to_string(), - serde_json::to_value(val).unwrap_or(serde_json::Value::Null), - ); + result.insert("frequencyPenalty".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); } if let Some(ref val) = self.max_output_tokens { - result.insert( - "maxOutputTokens".to_string(), - serde_json::to_value(val).unwrap_or(serde_json::Value::Null), - ); + result.insert("maxOutputTokens".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); } if let Some(ref val) = self.presence_penalty { - result.insert( - "presencePenalty".to_string(), - serde_json::to_value(val).unwrap_or(serde_json::Value::Null), - ); + result.insert("presencePenalty".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); } if let Some(ref val) = self.seed { - result.insert( - "seed".to_string(), - serde_json::to_value(val).unwrap_or(serde_json::Value::Null), - ); + result.insert("seed".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); } if let Some(ref val) = self.temperature { - result.insert( - "temperature".to_string(), - serde_json::to_value(val).unwrap_or(serde_json::Value::Null), - ); + result.insert("temperature".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); } if let Some(ref val) = self.top_k { - result.insert( - "topK".to_string(), - serde_json::to_value(val).unwrap_or(serde_json::Value::Null), - ); + result.insert("topK".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); } if let Some(ref val) = self.top_p { - result.insert( - "topP".to_string(), - serde_json::to_value(val).unwrap_or(serde_json::Value::Null), - ); + result.insert("topP".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); } if let Some(ref items) = self.stop_sequences { - result.insert( - "stopSequences".to_string(), - serde_json::to_value(items).unwrap_or(serde_json::Value::Null), - ); + result.insert("stopSequences".to_string(), serde_json::to_value(items).unwrap_or(serde_json::Value::Null)); } if let Some(val) = self.allow_multiple_tool_calls { - result.insert( - "allowMultipleToolCalls".to_string(), - serde_json::Value::Bool(val), - ); + result.insert("allowMultipleToolCalls".to_string(), serde_json::Value::Bool(val)); } if !self.additional_properties.is_null() { - result.insert( - "additionalProperties".to_string(), - self.additional_properties.clone(), - ); + result.insert("additionalProperties".to_string(), self.additional_properties.clone()); } ctx.process_dict(serde_json::Value::Object(result)) } @@ -167,9 +117,9 @@ impl ModelOptions { } /// Returns typed reference to the map if the field is an object. /// Returns `None` if the field is null or not an object. - pub fn as_additional_properties_dict( - &self, - ) -> Option<&serde_json::Map> { + pub fn as_additional_properties_dict(&self) -> Option<&serde_json::Map> { self.additional_properties.as_object() } } + + diff --git a/runtime/rust/prompty/src/model/parser_config.rs b/runtime/rust/prompty/src/model/parser_config.rs index 6a864640..a1d34c87 100644 --- a/runtime/rust/prompty/src/model/parser_config.rs +++ b/runtime/rust/prompty/src/model/parser_config.rs @@ -1,7 +1,11 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; + + /// Template parser definition #[derive(Debug, Clone, Default)] pub struct ParserConfig { @@ -40,15 +44,8 @@ impl ParserConfig { return Self::load_from_value(&expansion, ctx); } Self { - kind: value - .get("kind") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - options: value - .get("options") - .cloned() - .unwrap_or(serde_json::Value::Null), + kind: value.get("kind").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + options: value.get("options").cloned().unwrap_or(serde_json::Value::Null), } } @@ -58,10 +55,7 @@ impl ParserConfig { pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { let mut result = serde_json::Map::new(); if !self.kind.is_empty() { - result.insert( - "kind".to_string(), - serde_json::Value::String(self.kind.clone()), - ); + result.insert("kind".to_string(), serde_json::Value::String(self.kind.clone())); } if !self.options.is_null() { result.insert("options".to_string(), self.options.clone()); @@ -84,3 +78,5 @@ impl ParserConfig { self.options.as_object() } } + + diff --git a/runtime/rust/prompty/src/model/prompty.rs b/runtime/rust/prompty/src/model/prompty.rs index bf47f178..5d737306 100644 --- a/runtime/rust/prompty/src/model/prompty.rs +++ b/runtime/rust/prompty/src/model/prompty.rs @@ -1,3 +1,5 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; @@ -10,6 +12,8 @@ use super::template::Template; use super::tool::Tool; + + /// A Prompty is a markdown file format for LLM prompts. The frontmatter defines structured metadata including model configuration, input/output schemas, tools, and template settings. The markdown body becomes the instructions. This is the single root type for the Prompty schema — there is no abstract base class or kind discriminator. A .prompty file always produces a Prompty instance. #[derive(Debug, Clone, Default)] pub struct Prompty { @@ -59,48 +63,16 @@ impl Prompty { pub fn load_from_value(value: &serde_json::Value, ctx: &LoadContext) -> Self { let value = ctx.process_input(value.clone()); Self { - name: value - .get("name") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - display_name: value - .get("displayName") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), - description: value - .get("description") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), - metadata: value - .get("metadata") - .cloned() - .unwrap_or(serde_json::Value::Null), - inputs: value - .get("inputs") - .cloned() - .unwrap_or(serde_json::Value::Null), - outputs: value - .get("outputs") - .cloned() - .unwrap_or(serde_json::Value::Null), - model: value - .get("model") - .filter(|v| v.is_object() || v.is_array() || v.is_string()) - .map(|v| Model::load_from_value(v, ctx)) - .unwrap_or_default(), - tools: value - .get("tools") - .cloned() - .unwrap_or(serde_json::Value::Null), - template: value - .get("template") - .filter(|v| v.is_object() || v.is_array() || v.is_string()) - .map(|v| Template::load_from_value(v, ctx)), - instructions: value - .get("instructions") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), + name: value.get("name").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + display_name: value.get("displayName").and_then(|v| v.as_str()).map(|s| s.to_string()), + description: value.get("description").and_then(|v| v.as_str()).map(|s| s.to_string()), + metadata: value.get("metadata").cloned().unwrap_or(serde_json::Value::Null), + inputs: value.get("inputs").cloned().unwrap_or(serde_json::Value::Null), + outputs: value.get("outputs").cloned().unwrap_or(serde_json::Value::Null), + model: value.get("model").filter(|v| v.is_object() || v.is_array() || v.is_string()).map(|v| Model::load_from_value(v, ctx)).unwrap_or_default(), + tools: value.get("tools").cloned().unwrap_or(serde_json::Value::Null), + template: value.get("template").filter(|v| v.is_object() || v.is_array() || v.is_string()).map(|v| Template::load_from_value(v, ctx)), + instructions: value.get("instructions").and_then(|v| v.as_str()).map(|s| s.to_string()), } } @@ -110,22 +82,13 @@ impl Prompty { pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { let mut result = serde_json::Map::new(); if !self.name.is_empty() { - result.insert( - "name".to_string(), - serde_json::Value::String(self.name.clone()), - ); + result.insert("name".to_string(), serde_json::Value::String(self.name.clone())); } if let Some(ref val) = self.display_name { - result.insert( - "displayName".to_string(), - serde_json::Value::String(val.clone()), - ); + result.insert("displayName".to_string(), serde_json::Value::String(val.clone())); } if let Some(ref val) = self.description { - result.insert( - "description".to_string(), - serde_json::Value::String(val.clone()), - ); + result.insert("description".to_string(), serde_json::Value::String(val.clone())); } if !self.metadata.is_null() { result.insert("metadata".to_string(), self.metadata.clone()); @@ -152,10 +115,7 @@ impl Prompty { } } if let Some(ref val) = self.instructions { - result.insert( - "instructions".to_string(), - serde_json::Value::String(val.clone()), - ); + result.insert("instructions".to_string(), serde_json::Value::String(val.clone())); } ctx.process_dict(serde_json::Value::Object(result)) } @@ -179,11 +139,9 @@ impl Prompty { /// Returns `None` if the field is null or cannot be parsed. pub fn as_inputs(&self) -> Option> { match &self.inputs { - serde_json::Value::Array(arr) => Some( - arr.iter() - .map(|v| Property::load_from_value(v, &LoadContext::default())) - .collect(), - ), + serde_json::Value::Array(arr) => { + Some(arr.iter().map(|v| Property::load_from_value(v, &LoadContext::default())).collect()) + } serde_json::Value::Object(obj) => { let result: Vec = obj .iter() @@ -199,8 +157,7 @@ impl Prompty { serde_json::json!({ "value": value }) }; if let serde_json::Value::Object(ref mut m) = v { - m.entry("name".to_string()) - .or_insert_with(|| serde_json::Value::String(name.clone())); + m.entry("name".to_string()).or_insert_with(|| serde_json::Value::String(name.clone())); } Some(Property::load_from_value(&v, &LoadContext::default())) }) @@ -215,11 +172,9 @@ impl Prompty { /// Returns `None` if the field is null or cannot be parsed. pub fn as_outputs(&self) -> Option> { match &self.outputs { - serde_json::Value::Array(arr) => Some( - arr.iter() - .map(|v| Property::load_from_value(v, &LoadContext::default())) - .collect(), - ), + serde_json::Value::Array(arr) => { + Some(arr.iter().map(|v| Property::load_from_value(v, &LoadContext::default())).collect()) + } serde_json::Value::Object(obj) => { let result: Vec = obj .iter() @@ -235,8 +190,7 @@ impl Prompty { serde_json::json!({ "value": value }) }; if let serde_json::Value::Object(ref mut m) = v { - m.entry("name".to_string()) - .or_insert_with(|| serde_json::Value::String(name.clone())); + m.entry("name".to_string()).or_insert_with(|| serde_json::Value::String(name.clone())); } Some(Property::load_from_value(&v, &LoadContext::default())) }) @@ -251,11 +205,9 @@ impl Prompty { /// Returns `None` if the field is null or cannot be parsed. pub fn as_tools(&self) -> Option> { match &self.tools { - serde_json::Value::Array(arr) => Some( - arr.iter() - .map(|v| Tool::load_from_value(v, &LoadContext::default())) - .collect(), - ), + serde_json::Value::Array(arr) => { + Some(arr.iter().map(|v| Tool::load_from_value(v, &LoadContext::default())).collect()) + } serde_json::Value::Object(obj) => { let result: Vec = obj .iter() @@ -271,8 +223,7 @@ impl Prompty { serde_json::json!({ "value": value }) }; if let serde_json::Value::Object(ref mut m) = v { - m.entry("name".to_string()) - .or_insert_with(|| serde_json::Value::String(name.clone())); + m.entry("name".to_string()).or_insert_with(|| serde_json::Value::String(name.clone())); } Some(Tool::load_from_value(&v, &LoadContext::default())) }) @@ -283,3 +234,5 @@ impl Prompty { } } } + + diff --git a/runtime/rust/prompty/src/model/property.rs b/runtime/rust/prompty/src/model/property.rs index 8091f1fd..ff3889f4 100644 --- a/runtime/rust/prompty/src/model/property.rs +++ b/runtime/rust/prompty/src/model/property.rs @@ -1,7 +1,12 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; + + + /// Variant-specific data for [`Property`], discriminated by `kind`. #[derive(Debug, Clone)] pub enum PropertyKind { @@ -91,39 +96,23 @@ impl Property { let kind_str = value.get("kind").and_then(|v| v.as_str()).unwrap_or(""); let kind = match kind_str { "array" => PropertyKind::Array { - items: value - .get("items") - .cloned() - .unwrap_or(serde_json::Value::Null), + items: value.get("items").cloned().unwrap_or(serde_json::Value::Null), }, "object" => PropertyKind::Object { - properties: value - .get("properties") - .cloned() - .unwrap_or(serde_json::Value::Null), + properties: value.get("properties").cloned().unwrap_or(serde_json::Value::Null), }, _ => PropertyKind::Custom { kind_name: kind_str.to_string(), }, }; Self { - name: value - .get("name") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - description: value - .get("description") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), + name: value.get("name").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + description: value.get("description").and_then(|v| v.as_str()).map(|s| s.to_string()), required: value.get("required").and_then(|v| v.as_bool()), default: value.get("default").cloned(), example: value.get("example").cloned(), - enum_values: value - .get("enumValues") - .and_then(|v| v.as_array()) - .map(|arr| arr.to_vec()), - kind, + enum_values: value.get("enumValues").and_then(|v| v.as_array()).map(|arr| arr.to_vec()), + kind: kind, } } @@ -142,57 +131,40 @@ impl Property { pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { let mut result = serde_json::Map::new(); // Write the discriminator - result.insert( - "kind".to_string(), - serde_json::Value::String(self.kind_str().to_string()), - ); + result.insert("kind".to_string(), serde_json::Value::String(self.kind_str().to_string())); // Write base fields if !self.name.is_empty() { - result.insert( - "name".to_string(), - serde_json::Value::String(self.name.clone()), - ); + result.insert("name".to_string(), serde_json::Value::String(self.name.clone())); } if let Some(ref val) = self.description { - result.insert( - "description".to_string(), - serde_json::Value::String(val.clone()), - ); + result.insert("description".to_string(), serde_json::Value::String(val.clone())); } if let Some(val) = self.required { result.insert("required".to_string(), serde_json::Value::Bool(val)); } if let Some(ref val) = self.default { - result.insert( - "default".to_string(), - serde_json::to_value(val).unwrap_or(serde_json::Value::Null), - ); + result.insert("default".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); } if let Some(ref val) = self.example { - result.insert( - "example".to_string(), - serde_json::to_value(val).unwrap_or(serde_json::Value::Null), - ); + result.insert("example".to_string(), serde_json::to_value(val).unwrap_or(serde_json::Value::Null)); } if let Some(ref items) = self.enum_values { - result.insert( - "enumValues".to_string(), - serde_json::to_value(items).unwrap_or(serde_json::Value::Null), - ); + result.insert("enumValues".to_string(), serde_json::to_value(items).unwrap_or(serde_json::Value::Null)); } // Write variant-specific fields match &self.kind { - PropertyKind::Array { items, .. } => { + PropertyKind::Array { items, .. } => { if !items.is_null() { - result.insert("items".to_string(), items.clone()); - } + result.insert("items".to_string(), items.clone()); + } } - PropertyKind::Object { properties, .. } => { + PropertyKind::Object { properties, .. } => { if !properties.is_null() { - result.insert("properties".to_string(), properties.clone()); - } + result.insert("properties".to_string(), properties.clone()); + } + } + PropertyKind::Custom { kind_name: _, .. } => { } - PropertyKind::Custom { kind_name: _, .. } => {} } ctx.process_dict(serde_json::Value::Object(result)) } @@ -207,3 +179,9 @@ impl Property { serde_yaml::to_string(&self.to_value(ctx)) } } + + + + + + diff --git a/runtime/rust/prompty/src/model/stream_chunk.rs b/runtime/rust/prompty/src/model/stream_chunk.rs new file mode 100644 index 00000000..b0c39482 --- /dev/null +++ b/runtime/rust/prompty/src/model/stream_chunk.rs @@ -0,0 +1,161 @@ + + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use super::context::{LoadContext, SaveContext}; + +use super::tool_call::ToolCall; + + + + +/// Variant-specific data for [`StreamChunk`], discriminated by `kind`. +#[derive(Debug, Clone)] +pub enum StreamChunkKind { + /// `kind` = `"text"` + TextChunk { + /// The text content of the chunk + value: String, + }, + /// `kind` = `"thinking"` + ThinkingChunk { + /// The thinking content of the chunk + value: String, + }, + /// `kind` = `"tool"` + ToolChunk { + /// The tool call data + tool_call: ToolCall, + }, + /// `kind` = `"error"` + ErrorChunk { + /// The error message + message: String, + }, +} + +impl Default for StreamChunkKind { + fn default() -> Self { + StreamChunkKind::TextChunk { + value: String::from(""), + } + } +} +/// A chunk of data from a streaming LLM response. Stream chunks are discriminated on the `kind` field. +#[derive(Debug, Clone, Default)] +pub struct StreamChunk { + /// Variant-specific data, discriminated by `kind`. + pub kind: StreamChunkKind, +} + +impl StreamChunk { + /// Create a new StreamChunk with default values. + pub fn new() -> Self { + Self::default() + } + + /// Load StreamChunk from a JSON string. + pub fn from_json(json: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_json::from_str(json)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load StreamChunk from a YAML string. + pub fn from_yaml(yaml: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_yaml::from_str(yaml)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load StreamChunk from a `serde_json::Value`. + /// + /// Calls `ctx.process_input` before field extraction. + pub fn load_from_value(value: &serde_json::Value, ctx: &LoadContext) -> Self { + let value = ctx.process_input(value.clone()); + let kind_str = value.get("kind").and_then(|v| v.as_str()).unwrap_or(""); + let kind = match kind_str { + "text" => StreamChunkKind::TextChunk { + value: value.get("value").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + }, + "thinking" => StreamChunkKind::ThinkingChunk { + value: value.get("value").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + }, + "tool" => StreamChunkKind::ToolChunk { + tool_call: value.get("toolCall").filter(|v| v.is_object() || v.is_array() || v.is_string()).map(|v| ToolCall::load_from_value(v, ctx)).unwrap_or_default(), + }, + "error" => StreamChunkKind::ErrorChunk { + message: value.get("message").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + }, + _ => StreamChunkKind::default(), + }; + Self { + kind: kind, + } + } + + /// Returns the `kind` discriminator string for this instance. + pub fn kind_str(&self) -> &str { + match &self.kind { + StreamChunkKind::TextChunk { .. } => "text", + StreamChunkKind::ThinkingChunk { .. } => "thinking", + StreamChunkKind::ToolChunk { .. } => "tool", + StreamChunkKind::ErrorChunk { .. } => "error", + } + } + + /// Serialize StreamChunk to a `serde_json::Value`. + /// + /// Calls `ctx.process_dict` after serialization. + pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { + let mut result = serde_json::Map::new(); + // Write the discriminator + result.insert("kind".to_string(), serde_json::Value::String(self.kind_str().to_string())); + // Write base fields + // Write variant-specific fields + match &self.kind { + StreamChunkKind::TextChunk { value, .. } => { + if !value.is_empty() { + result.insert("value".to_string(), serde_json::Value::String(value.clone())); + } + } + StreamChunkKind::ThinkingChunk { value, .. } => { + if !value.is_empty() { + result.insert("value".to_string(), serde_json::Value::String(value.clone())); + } + } + StreamChunkKind::ToolChunk { tool_call, .. } => { + { + let nested = tool_call.to_value(ctx); + if !nested.is_null() { + result.insert("toolCall".to_string(), nested); + } + } + } + StreamChunkKind::ErrorChunk { message, .. } => { + if !message.is_empty() { + result.insert("message".to_string(), serde_json::Value::String(message.clone())); + } + } + } + ctx.process_dict(serde_json::Value::Object(result)) + } + + /// Serialize StreamChunk to a JSON string. + pub fn to_json(&self, ctx: &SaveContext) -> Result { + serde_json::to_string_pretty(&self.to_value(ctx)) + } + + /// Serialize StreamChunk to a YAML string. + pub fn to_yaml(&self, ctx: &SaveContext) -> Result { + serde_yaml::to_string(&self.to_value(ctx)) + } +} + + + + + + + + + + diff --git a/runtime/rust/prompty/src/model/template.rs b/runtime/rust/prompty/src/model/template.rs index 35e6f626..59e29356 100644 --- a/runtime/rust/prompty/src/model/template.rs +++ b/runtime/rust/prompty/src/model/template.rs @@ -1,3 +1,5 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; @@ -6,6 +8,8 @@ use super::format_config::FormatConfig; use super::parser_config::ParserConfig; + + /// Template model for defining prompt templates. This model specifies the rendering engine used for slot filling prompts, the parser used to process the rendered template into API-compatible format, and additional options for the template engine. It allows for the creation of reusable templates that can be filled with dynamic data and processed to generate prompts for AI models. #[derive(Debug, Clone, Default)] pub struct Template { @@ -39,16 +43,8 @@ impl Template { pub fn load_from_value(value: &serde_json::Value, ctx: &LoadContext) -> Self { let value = ctx.process_input(value.clone()); Self { - format: value - .get("format") - .filter(|v| v.is_object() || v.is_array() || v.is_string()) - .map(|v| FormatConfig::load_from_value(v, ctx)) - .unwrap_or_default(), - parser: value - .get("parser") - .filter(|v| v.is_object() || v.is_array() || v.is_string()) - .map(|v| ParserConfig::load_from_value(v, ctx)) - .unwrap_or_default(), + format: value.get("format").filter(|v| v.is_object() || v.is_array() || v.is_string()).map(|v| FormatConfig::load_from_value(v, ctx)).unwrap_or_default(), + parser: value.get("parser").filter(|v| v.is_object() || v.is_array() || v.is_string()).map(|v| ParserConfig::load_from_value(v, ctx)).unwrap_or_default(), } } @@ -82,3 +78,5 @@ impl Template { serde_yaml::to_string(&self.to_value(ctx)) } } + + diff --git a/runtime/rust/prompty/src/model/tool.rs b/runtime/rust/prompty/src/model/tool.rs index 1f2fb372..e00cadf7 100644 --- a/runtime/rust/prompty/src/model/tool.rs +++ b/runtime/rust/prompty/src/model/tool.rs @@ -1,3 +1,5 @@ + + // Code generated by AgentSchema emitter; DO NOT EDIT. use super::context::{LoadContext, SaveContext}; @@ -6,6 +8,9 @@ use super::binding::Binding; use super::mcp_approval_mode::McpApprovalMode; + + + /// Variant-specific data for [`Tool`], discriminated by `kind`. #[derive(Debug, Clone)] pub enum ToolKind { @@ -40,8 +45,6 @@ pub enum ToolKind { Prompty { /// Path to the child .prompty file, relative to the parent path: String, - /// Execution mode: 'single' for one LLM call, 'agentic' for full agent loop - mode: String, }, /// Wildcard / catch-all variant for unrecognized `kind` values. Custom { @@ -102,90 +105,34 @@ impl Tool { let kind_str = value.get("kind").and_then(|v| v.as_str()).unwrap_or(""); let kind = match kind_str { "function" => ToolKind::Function { - parameters: value - .get("parameters") - .cloned() - .unwrap_or(serde_json::Value::Null), + parameters: value.get("parameters").cloned().unwrap_or(serde_json::Value::Null), strict: value.get("strict").and_then(|v| v.as_bool()), }, "mcp" => ToolKind::Mcp { - connection: value - .get("connection") - .cloned() - .unwrap_or(serde_json::Value::Null), - server_name: value - .get("serverName") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - server_description: value - .get("serverDescription") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), - approval_mode: value - .get("approvalMode") - .filter(|v| v.is_object() || v.is_array() || v.is_string()) - .map(|v| McpApprovalMode::load_from_value(v, ctx)) - .unwrap_or_default(), - allowed_tools: value - .get("allowedTools") - .and_then(|v| v.as_array()) - .map(|arr| { - arr.iter() - .filter_map(|v| v.as_str().map(|s| s.to_string())) - .collect() - }), + connection: value.get("connection").cloned().unwrap_or(serde_json::Value::Null), + server_name: value.get("serverName").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + server_description: value.get("serverDescription").and_then(|v| v.as_str()).map(|s| s.to_string()), + approval_mode: value.get("approvalMode").filter(|v| v.is_object() || v.is_array() || v.is_string()).map(|v| McpApprovalMode::load_from_value(v, ctx)).unwrap_or_default(), + allowed_tools: value.get("allowedTools").and_then(|v| v.as_array()).map(|arr| arr.iter().filter_map(|v| v.as_str().map(|s| s.to_string())).collect()), }, "openapi" => ToolKind::OpenApi { - connection: value - .get("connection") - .cloned() - .unwrap_or(serde_json::Value::Null), - specification: value - .get("specification") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), + connection: value.get("connection").cloned().unwrap_or(serde_json::Value::Null), + specification: value.get("specification").and_then(|v| v.as_str()).unwrap_or_default().to_string(), }, "prompty" => ToolKind::Prompty { - path: value - .get("path") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - mode: value - .get("mode") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), + path: value.get("path").and_then(|v| v.as_str()).unwrap_or_default().to_string(), }, _ => ToolKind::Custom { - connection: value - .get("connection") - .cloned() - .unwrap_or(serde_json::Value::Null), - options: value - .get("options") - .cloned() - .unwrap_or(serde_json::Value::Null), + connection: value.get("connection").cloned().unwrap_or(serde_json::Value::Null), + options: value.get("options").cloned().unwrap_or(serde_json::Value::Null), kind_name: kind_str.to_string(), }, }; Self { - name: value - .get("name") - .and_then(|v| v.as_str()) - .unwrap_or_default() - .to_string(), - description: value - .get("description") - .and_then(|v| v.as_str()) - .map(|s| s.to_string()), - bindings: value - .get("bindings") - .cloned() - .unwrap_or(serde_json::Value::Null), - kind, + name: value.get("name").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + description: value.get("description").and_then(|v| v.as_str()).map(|s| s.to_string()), + bindings: value.get("bindings").cloned().unwrap_or(serde_json::Value::Null), + kind: kind, } } @@ -206,109 +153,67 @@ impl Tool { pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { let mut result = serde_json::Map::new(); // Write the discriminator - result.insert( - "kind".to_string(), - serde_json::Value::String(self.kind_str().to_string()), - ); + result.insert("kind".to_string(), serde_json::Value::String(self.kind_str().to_string())); // Write base fields if !self.name.is_empty() { - result.insert( - "name".to_string(), - serde_json::Value::String(self.name.clone()), - ); + result.insert("name".to_string(), serde_json::Value::String(self.name.clone())); } if let Some(ref val) = self.description { - result.insert( - "description".to_string(), - serde_json::Value::String(val.clone()), - ); + result.insert("description".to_string(), serde_json::Value::String(val.clone())); } if !self.bindings.is_null() { result.insert("bindings".to_string(), self.bindings.clone()); } // Write variant-specific fields match &self.kind { - ToolKind::Function { - parameters, strict, .. - } => { + ToolKind::Function { parameters, strict, .. } => { if !parameters.is_null() { - result.insert("parameters".to_string(), parameters.clone()); - } + result.insert("parameters".to_string(), parameters.clone()); + } if let Some(val) = strict { - result.insert("strict".to_string(), serde_json::Value::Bool(*val)); - } + result.insert("strict".to_string(), serde_json::Value::Bool(*val)); + } } - ToolKind::Mcp { - connection, - server_name, - server_description, - approval_mode, - allowed_tools, - .. - } => { + ToolKind::Mcp { connection, server_name, server_description, approval_mode, allowed_tools, .. } => { if !connection.is_null() { - result.insert("connection".to_string(), connection.clone()); - } + result.insert("connection".to_string(), connection.clone()); + } if !server_name.is_empty() { - result.insert( - "serverName".to_string(), - serde_json::Value::String(server_name.clone()), - ); - } + result.insert("serverName".to_string(), serde_json::Value::String(server_name.clone())); + } if let Some(val) = server_description { - result.insert( - "serverDescription".to_string(), - serde_json::Value::String(val.clone()), - ); - } + result.insert("serverDescription".to_string(), serde_json::Value::String(val.clone())); + } { - let nested = approval_mode.to_value(ctx); - if !nested.is_null() { - result.insert("approvalMode".to_string(), nested); - } - } + let nested = approval_mode.to_value(ctx); + if !nested.is_null() { + result.insert("approvalMode".to_string(), nested); + } + } if let Some(items) = allowed_tools { - result.insert( - "allowedTools".to_string(), - serde_json::to_value(items).unwrap_or(serde_json::Value::Null), - ); - } + result.insert("allowedTools".to_string(), serde_json::to_value(items).unwrap_or(serde_json::Value::Null)); + } } - ToolKind::OpenApi { - connection, - specification, - .. - } => { + ToolKind::OpenApi { connection, specification, .. } => { if !connection.is_null() { - result.insert("connection".to_string(), connection.clone()); - } + result.insert("connection".to_string(), connection.clone()); + } if !specification.is_empty() { - result.insert( - "specification".to_string(), - serde_json::Value::String(specification.clone()), - ); - } + result.insert("specification".to_string(), serde_json::Value::String(specification.clone())); + } } - ToolKind::Prompty { path, mode, .. } => { + ToolKind::Prompty { path, .. } => { if !path.is_empty() { - result.insert("path".to_string(), serde_json::Value::String(path.clone())); - } - if !mode.is_empty() { - result.insert("mode".to_string(), serde_json::Value::String(mode.clone())); - } + result.insert("path".to_string(), serde_json::Value::String(path.clone())); + } } - ToolKind::Custom { - connection, - options, - kind_name: _, - .. - } => { + ToolKind::Custom { connection, options, kind_name: _, .. } => { if !connection.is_null() { - result.insert("connection".to_string(), connection.clone()); - } + result.insert("connection".to_string(), connection.clone()); + } if !options.is_null() { - result.insert("options".to_string(), options.clone()); - } + result.insert("options".to_string(), options.clone()); + } } } ctx.process_dict(serde_json::Value::Object(result)) @@ -328,11 +233,9 @@ impl Tool { /// Returns `None` if the field is null or cannot be parsed. pub fn as_bindings(&self) -> Option> { match &self.bindings { - serde_json::Value::Array(arr) => Some( - arr.iter() - .map(|v| Binding::load_from_value(v, &LoadContext::default())) - .collect(), - ), + serde_json::Value::Array(arr) => { + Some(arr.iter().map(|v| Binding::load_from_value(v, &LoadContext::default())).collect()) + } serde_json::Value::Object(obj) => { let result: Vec = obj .iter() @@ -348,8 +251,7 @@ impl Tool { serde_json::json!({ "value": value }) }; if let serde_json::Value::Object(ref mut m) = v { - m.entry("name".to_string()) - .or_insert_with(|| serde_json::Value::String(name.clone())); + m.entry("name".to_string()).or_insert_with(|| serde_json::Value::String(name.clone())); } Some(Binding::load_from_value(&v, &LoadContext::default())) }) @@ -360,3 +262,15 @@ impl Tool { } } } + + + + + + + + + + + + diff --git a/runtime/rust/prompty/src/model/tool_call.rs b/runtime/rust/prompty/src/model/tool_call.rs new file mode 100644 index 00000000..f5cdb849 --- /dev/null +++ b/runtime/rust/prompty/src/model/tool_call.rs @@ -0,0 +1,78 @@ + + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use super::context::{LoadContext, SaveContext}; + + + +/// A tool call requested by the LLM. Contains the function name and serialized arguments that should be dispatched to the appropriate tool handler. +#[derive(Debug, Clone, Default)] +pub struct ToolCall { + /// The unique identifier of the tool call + pub id: String, + /// The name of the tool to call + pub name: String, + /// The serialized JSON arguments for the tool call + pub arguments: String, +} + +impl ToolCall { + /// Create a new ToolCall with default values. + pub fn new() -> Self { + Self::default() + } + + /// Load ToolCall from a JSON string. + pub fn from_json(json: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_json::from_str(json)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load ToolCall from a YAML string. + pub fn from_yaml(yaml: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_yaml::from_str(yaml)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load ToolCall from a `serde_json::Value`. + /// + /// Calls `ctx.process_input` before field extraction. + pub fn load_from_value(value: &serde_json::Value, ctx: &LoadContext) -> Self { + let value = ctx.process_input(value.clone()); + Self { + id: value.get("id").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + name: value.get("name").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + arguments: value.get("arguments").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + } + } + + /// Serialize ToolCall to a `serde_json::Value`. + /// + /// Calls `ctx.process_dict` after serialization. + pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { + let mut result = serde_json::Map::new(); + if !self.id.is_empty() { + result.insert("id".to_string(), serde_json::Value::String(self.id.clone())); + } + if !self.name.is_empty() { + result.insert("name".to_string(), serde_json::Value::String(self.name.clone())); + } + if !self.arguments.is_empty() { + result.insert("arguments".to_string(), serde_json::Value::String(self.arguments.clone())); + } + ctx.process_dict(serde_json::Value::Object(result)) + } + + /// Serialize ToolCall to a JSON string. + pub fn to_json(&self, ctx: &SaveContext) -> Result { + serde_json::to_string_pretty(&self.to_value(ctx)) + } + + /// Serialize ToolCall to a YAML string. + pub fn to_yaml(&self, ctx: &SaveContext) -> Result { + serde_yaml::to_string(&self.to_value(ctx)) + } +} + + diff --git a/runtime/rust/prompty/src/model/tool_result.rs b/runtime/rust/prompty/src/model/tool_result.rs new file mode 100644 index 00000000..6322b992 --- /dev/null +++ b/runtime/rust/prompty/src/model/tool_result.rs @@ -0,0 +1,101 @@ + + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use super::context::{LoadContext, SaveContext}; + +use super::content_part::ContentPart; + + + +/// The result of a tool execution. Contains a list of content parts, enabling rich tool results (text, images, files, audio) rather than just strings. Implementations MUST support conversion from a plain string to a ToolResult containing a single TextPart for backward compatibility. +#[derive(Debug, Clone, Default)] +pub struct ToolResult { + /// The content parts of the tool result + pub parts: serde_json::Value, +} + +impl ToolResult { + /// Create a new ToolResult with default values. + pub fn new() -> Self { + Self::default() + } + + /// Load ToolResult from a JSON string. + pub fn from_json(json: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_json::from_str(json)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load ToolResult from a YAML string. + pub fn from_yaml(yaml: &str, ctx: &LoadContext) -> Result { + let value: serde_json::Value = serde_yaml::from_str(yaml)?; + Ok(Self::load_from_value(&value, ctx)) + } + + /// Load ToolResult from a `serde_json::Value`. + /// + /// Calls `ctx.process_input` before field extraction. + pub fn load_from_value(value: &serde_json::Value, ctx: &LoadContext) -> Self { + let value = ctx.process_input(value.clone()); + Self { + parts: value.get("parts").cloned().unwrap_or(serde_json::Value::Null), + } + } + + /// Serialize ToolResult to a `serde_json::Value`. + /// + /// Calls `ctx.process_dict` after serialization. + pub fn to_value(&self, ctx: &SaveContext) -> serde_json::Value { + let mut result = serde_json::Map::new(); + if !self.parts.is_null() { + result.insert("parts".to_string(), self.parts.clone()); + } + ctx.process_dict(serde_json::Value::Object(result)) + } + + /// Serialize ToolResult to a JSON string. + pub fn to_json(&self, ctx: &SaveContext) -> Result { + serde_json::to_string_pretty(&self.to_value(ctx)) + } + + /// Serialize ToolResult to a YAML string. + pub fn to_yaml(&self, ctx: &SaveContext) -> Result { + serde_yaml::to_string(&self.to_value(ctx)) + } + /// Returns typed `Vec` by parsing the stored JSON value. + /// Handles both array format `[{...}]` and dict format `{"name": {...}}`. + /// Returns `None` if the field is null or cannot be parsed. + pub fn as_parts(&self) -> Option> { + match &self.parts { + serde_json::Value::Array(arr) => { + Some(arr.iter().map(|v| ContentPart::load_from_value(v, &LoadContext::default())).collect()) + } + serde_json::Value::Object(obj) => { + let result: Vec = obj + .iter() + .filter_map(|(name, value)| { + if value.is_array() { + // Invalid format: skip entries with array values. + // 'parts' must be a flat list or name-keyed dict. + return None; + } + let mut v = if value.is_object() { + value.clone() + } else { + serde_json::json!({ "value": value }) + }; + if let serde_json::Value::Object(ref mut m) = v { + m.entry("name".to_string()).or_insert_with(|| serde_json::Value::String(name.clone())); + } + Some(ContentPart::load_from_value(&v, &LoadContext::default())) + }) + .collect(); + Some(result) + } + _ => None, + } + } +} + + diff --git a/runtime/rust/prompty/tests/model/binding_test.rs b/runtime/rust/prompty/tests/model/binding_test.rs index 26d337d0..3183c0cb 100644 --- a/runtime/rust/prompty/tests/model/binding_test.rs +++ b/runtime/rust/prompty/tests/model/binding_test.rs @@ -1,8 +1,10 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::Binding; use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_binding_load_json() { let json = r####" @@ -13,11 +15,7 @@ fn test_binding_load_json() { "####; let ctx = LoadContext::default(); let result = Binding::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "my-tool"); assert_eq!(instance.input, "input-variable"); @@ -32,11 +30,7 @@ input: input-variable "####; let ctx = LoadContext::default(); let result = Binding::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "my-tool"); assert_eq!(instance.input, "input-variable"); @@ -56,13 +50,11 @@ fn test_binding_roundtrip() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + + #[test] fn test_binding_from_string() { let value = serde_json::json!("example"); @@ -70,3 +62,5 @@ fn test_binding_from_string() { let instance = Binding::load_from_value(&value, &ctx); assert_eq!(instance.input, "example"); } + + diff --git a/runtime/rust/prompty/tests/model/connection_test.rs b/runtime/rust/prompty/tests/model/connection_test.rs index c7ea62a5..a991307d 100644 --- a/runtime/rust/prompty/tests/model/connection_test.rs +++ b/runtime/rust/prompty/tests/model/connection_test.rs @@ -1,7 +1,9 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::Connection; -use prompty::model::context::LoadContext; +use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_connection_load_json() { @@ -14,11 +16,7 @@ fn test_connection_load_json() { "####; let ctx = LoadContext::default(); let result = Connection::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); } #[test] @@ -31,11 +29,7 @@ usageDescription: This will allow the agent to respond to an email on your behal "####; let ctx = LoadContext::default(); let result = Connection::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); } #[test] @@ -51,3 +45,6 @@ fn test_connection_roundtrip() { let result = Connection::from_json(json, &load_ctx); assert!(result.is_ok(), "Failed to load: {:?}", result.err()); } + + + diff --git a/runtime/rust/prompty/tests/model/content_part_test.rs b/runtime/rust/prompty/tests/model/content_part_test.rs new file mode 100644 index 00000000..38c82b69 --- /dev/null +++ b/runtime/rust/prompty/tests/model/content_part_test.rs @@ -0,0 +1,8 @@ + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use prompty::model::ContentPart; +use prompty::model::context::{LoadContext, SaveContext}; + + + diff --git a/runtime/rust/prompty/tests/model/format_config_test.rs b/runtime/rust/prompty/tests/model/format_config_test.rs index 7010ddf9..74cc7d94 100644 --- a/runtime/rust/prompty/tests/model/format_config_test.rs +++ b/runtime/rust/prompty/tests/model/format_config_test.rs @@ -1,7 +1,9 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::FormatConfig; -use prompty::model::context::LoadContext; +use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_format_config_load_json() { @@ -16,11 +18,7 @@ fn test_format_config_load_json() { "####; let ctx = LoadContext::default(); let result = FormatConfig::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); } #[test] @@ -34,11 +32,7 @@ options: "####; let ctx = LoadContext::default(); let result = FormatConfig::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); } #[test] @@ -57,6 +51,8 @@ fn test_format_config_roundtrip() { assert!(result.is_ok(), "Failed to load: {:?}", result.err()); } + + #[test] fn test_format_config_from_format() { let value = serde_json::json!("example"); @@ -64,3 +60,5 @@ fn test_format_config_from_format() { let instance = FormatConfig::load_from_value(&value, &ctx); let _ = instance; // abstract type, load succeeded } + + diff --git a/runtime/rust/prompty/tests/model/guardrail_result_test.rs b/runtime/rust/prompty/tests/model/guardrail_result_test.rs new file mode 100644 index 00000000..2bc3a35d --- /dev/null +++ b/runtime/rust/prompty/tests/model/guardrail_result_test.rs @@ -0,0 +1,58 @@ + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use prompty::model::GuardrailResult; +use prompty::model::context::{LoadContext, SaveContext}; + + +#[test] +fn test_guardrail_result_load_json() { + let json = r####" +{ + "allowed": true, + "reason": "Content is safe" +} +"####; + let ctx = LoadContext::default(); + let result = GuardrailResult::from_json(json, &ctx); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); + let instance = result.unwrap(); + assert_eq!(instance.allowed, true); + assert!(instance.reason.is_some(), "Expected reason to be Some"); + assert_eq!(instance.reason.as_ref().unwrap(), &"Content is safe"); +} + +#[test] +fn test_guardrail_result_load_yaml() { + let yaml = r####" +allowed: true +reason: Content is safe + +"####; + let ctx = LoadContext::default(); + let result = GuardrailResult::from_yaml(yaml, &ctx); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); + let instance = result.unwrap(); + assert_eq!(instance.allowed, true); + assert!(instance.reason.is_some(), "Expected reason to be Some"); +} + +#[test] +fn test_guardrail_result_roundtrip() { + let json = r####" +{ + "allowed": true, + "reason": "Content is safe" +} +"####; + let load_ctx = LoadContext::default(); + let result = GuardrailResult::from_json(json, &load_ctx); + assert!(result.is_ok(), "Failed to load: {:?}", result.err()); + let instance = result.unwrap(); + let save_ctx = SaveContext::default(); + let json_output = instance.to_json(&save_ctx); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); +} + + + diff --git a/runtime/rust/prompty/tests/model/main.rs b/runtime/rust/prompty/tests/model/main.rs index 5c6c4523..e14e2e68 100644 --- a/runtime/rust/prompty/tests/model/main.rs +++ b/runtime/rust/prompty/tests/model/main.rs @@ -1,13 +1,20 @@ // Code generated by AgentSchema emitter; DO NOT EDIT. -mod binding_test; +mod property_test; mod connection_test; -mod format_config_test; -mod mcp_approval_mode_test; mod model_options_test; mod model_test; +mod binding_test; +mod tool_test; +mod mcp_approval_mode_test; +mod format_config_test; mod parser_config_test; -mod prompty_test; -mod property_test; mod template_test; -mod tool_test; +mod prompty_test; +mod content_part_test; +mod message_test; +mod tool_call_test; +mod tool_result_test; +mod stream_chunk_test; +mod guardrail_result_test; +mod model_info_test; diff --git a/runtime/rust/prompty/tests/model/mcp_approval_mode_test.rs b/runtime/rust/prompty/tests/model/mcp_approval_mode_test.rs index 74d52526..f3eb81b6 100644 --- a/runtime/rust/prompty/tests/model/mcp_approval_mode_test.rs +++ b/runtime/rust/prompty/tests/model/mcp_approval_mode_test.rs @@ -1,8 +1,10 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::McpApprovalMode; use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_mcp_approval_mode_load_json() { let json = r####" @@ -18,11 +20,7 @@ fn test_mcp_approval_mode_load_json() { "####; let ctx = LoadContext::default(); let result = McpApprovalMode::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.kind, "never"); } @@ -39,11 +37,7 @@ neverRequireApprovalTools: "####; let ctx = LoadContext::default(); let result = McpApprovalMode::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.kind, "never"); } @@ -67,13 +61,11 @@ fn test_mcp_approval_mode_roundtrip() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + + #[test] fn test_mcp_approval_mode_from_kind() { let value = serde_json::json!("never"); @@ -81,3 +73,5 @@ fn test_mcp_approval_mode_from_kind() { let instance = McpApprovalMode::load_from_value(&value, &ctx); assert_eq!(instance.kind, "never"); } + + diff --git a/runtime/rust/prompty/tests/model/message_test.rs b/runtime/rust/prompty/tests/model/message_test.rs new file mode 100644 index 00000000..b7f38cfa --- /dev/null +++ b/runtime/rust/prompty/tests/model/message_test.rs @@ -0,0 +1,75 @@ + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use prompty::model::Message; +use prompty::model::context::{LoadContext, SaveContext}; + + +#[test] +fn test_message_load_json() { + let json = r####" +{ + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } +} +"####; + let ctx = LoadContext::default(); + let result = Message::from_json(json, &ctx); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); + let instance = result.unwrap(); + assert_eq!(instance.role, "user"); +} + +#[test] +fn test_message_load_yaml() { + let yaml = r####" +role: user +parts: + - kind: text + value: Hello! +metadata: + source: user-input + +"####; + let ctx = LoadContext::default(); + let result = Message::from_yaml(yaml, &ctx); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); + let instance = result.unwrap(); + assert_eq!(instance.role, "user"); +} + +#[test] +fn test_message_roundtrip() { + let json = r####" +{ + "role": "user", + "parts": [ + { + "kind": "text", + "value": "Hello!" + } + ], + "metadata": { + "source": "user-input" + } +} +"####; + let load_ctx = LoadContext::default(); + let result = Message::from_json(json, &load_ctx); + assert!(result.is_ok(), "Failed to load: {:?}", result.err()); + let instance = result.unwrap(); + let save_ctx = SaveContext::default(); + let json_output = instance.to_json(&save_ctx); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); +} + + + diff --git a/runtime/rust/prompty/tests/model/model_info_test.rs b/runtime/rust/prompty/tests/model/model_info_test.rs new file mode 100644 index 00000000..f913462f --- /dev/null +++ b/runtime/rust/prompty/tests/model/model_info_test.rs @@ -0,0 +1,97 @@ + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use prompty::model::ModelInfo; +use prompty::model::context::{LoadContext, SaveContext}; + + +#[test] +fn test_model_info_load_json() { + let json = r####" +{ + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } +} +"####; + let ctx = LoadContext::default(); + let result = ModelInfo::from_json(json, &ctx); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); + let instance = result.unwrap(); + assert_eq!(instance.id, "gpt-4o"); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); + assert_eq!(instance.display_name.as_ref().unwrap(), &"GPT-4o"); + assert!(instance.owned_by.is_some(), "Expected owned_by to be Some"); + assert_eq!(instance.owned_by.as_ref().unwrap(), &"openai"); + assert!(instance.context_window.is_some(), "Expected context_window to be Some"); + assert_eq!(instance.context_window.as_ref().unwrap(), &128000); +} + +#[test] +fn test_model_info_load_yaml() { + let yaml = r####" +id: gpt-4o +displayName: GPT-4o +ownedBy: openai +contextWindow: 128000 +inputModalities: + - text + - image +outputModalities: + - text +additionalProperties: + supportsStreaming: true + +"####; + let ctx = LoadContext::default(); + let result = ModelInfo::from_yaml(yaml, &ctx); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); + let instance = result.unwrap(); + assert_eq!(instance.id, "gpt-4o"); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); + assert!(instance.owned_by.is_some(), "Expected owned_by to be Some"); + assert!(instance.context_window.is_some(), "Expected context_window to be Some"); +} + +#[test] +fn test_model_info_roundtrip() { + let json = r####" +{ + "id": "gpt-4o", + "displayName": "GPT-4o", + "ownedBy": "openai", + "contextWindow": 128000, + "inputModalities": [ + "text", + "image" + ], + "outputModalities": [ + "text" + ], + "additionalProperties": { + "supportsStreaming": true + } +} +"####; + let load_ctx = LoadContext::default(); + let result = ModelInfo::from_json(json, &load_ctx); + assert!(result.is_ok(), "Failed to load: {:?}", result.err()); + let instance = result.unwrap(); + let save_ctx = SaveContext::default(); + let json_output = instance.to_json(&save_ctx); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); +} + + + diff --git a/runtime/rust/prompty/tests/model/model_options_test.rs b/runtime/rust/prompty/tests/model/model_options_test.rs index 5746225c..19ea72b0 100644 --- a/runtime/rust/prompty/tests/model/model_options_test.rs +++ b/runtime/rust/prompty/tests/model/model_options_test.rs @@ -1,8 +1,10 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::ModelOptions; use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_model_options_load_json() { let json = r####" @@ -27,42 +29,23 @@ fn test_model_options_load_json() { "####; let ctx = LoadContext::default(); let result = ModelOptions::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); - assert!( - instance.frequency_penalty.is_some(), - "Expected frequency_penalty to be Some" - ); + assert!(instance.frequency_penalty.is_some(), "Expected frequency_penalty to be Some"); assert_eq!(instance.frequency_penalty.as_ref().unwrap(), &0.5); - assert!( - instance.max_output_tokens.is_some(), - "Expected max_output_tokens to be Some" - ); + assert!(instance.max_output_tokens.is_some(), "Expected max_output_tokens to be Some"); assert_eq!(instance.max_output_tokens.as_ref().unwrap(), &2048); - assert!( - instance.presence_penalty.is_some(), - "Expected presence_penalty to be Some" - ); + assert!(instance.presence_penalty.is_some(), "Expected presence_penalty to be Some"); assert_eq!(instance.presence_penalty.as_ref().unwrap(), &0.3); assert!(instance.seed.is_some(), "Expected seed to be Some"); assert_eq!(instance.seed.as_ref().unwrap(), &42); - assert!( - instance.temperature.is_some(), - "Expected temperature to be Some" - ); + assert!(instance.temperature.is_some(), "Expected temperature to be Some"); assert_eq!(instance.temperature.as_ref().unwrap(), &0.7); assert!(instance.top_k.is_some(), "Expected top_k to be Some"); assert_eq!(instance.top_k.as_ref().unwrap(), &40); assert!(instance.top_p.is_some(), "Expected top_p to be Some"); assert_eq!(instance.top_p.as_ref().unwrap(), &0.9); - assert!( - instance.allow_multiple_tool_calls.is_some(), - "Expected allow_multiple_tool_calls to be Some" - ); + assert!(instance.allow_multiple_tool_calls.is_some(), "Expected allow_multiple_tool_calls to be Some"); assert_eq!(instance.allow_multiple_tool_calls.as_ref().unwrap(), &true); } @@ -87,35 +70,16 @@ additionalProperties: "####; let ctx = LoadContext::default(); let result = ModelOptions::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); - assert!( - instance.frequency_penalty.is_some(), - "Expected frequency_penalty to be Some" - ); - assert!( - instance.max_output_tokens.is_some(), - "Expected max_output_tokens to be Some" - ); - assert!( - instance.presence_penalty.is_some(), - "Expected presence_penalty to be Some" - ); + assert!(instance.frequency_penalty.is_some(), "Expected frequency_penalty to be Some"); + assert!(instance.max_output_tokens.is_some(), "Expected max_output_tokens to be Some"); + assert!(instance.presence_penalty.is_some(), "Expected presence_penalty to be Some"); assert!(instance.seed.is_some(), "Expected seed to be Some"); - assert!( - instance.temperature.is_some(), - "Expected temperature to be Some" - ); + assert!(instance.temperature.is_some(), "Expected temperature to be Some"); assert!(instance.top_k.is_some(), "Expected top_k to be Some"); assert!(instance.top_p.is_some(), "Expected top_p to be Some"); - assert!( - instance.allow_multiple_tool_calls.is_some(), - "Expected allow_multiple_tool_calls to be Some" - ); + assert!(instance.allow_multiple_tool_calls.is_some(), "Expected allow_multiple_tool_calls to be Some"); } #[test] @@ -146,9 +110,8 @@ fn test_model_options_roundtrip() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + + + diff --git a/runtime/rust/prompty/tests/model/model_test.rs b/runtime/rust/prompty/tests/model/model_test.rs index b9359f9b..ee5dd1a6 100644 --- a/runtime/rust/prompty/tests/model/model_test.rs +++ b/runtime/rust/prompty/tests/model/model_test.rs @@ -1,8 +1,10 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::Model; use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_model_load_json() { let json = r####" @@ -24,11 +26,7 @@ fn test_model_load_json() { "####; let ctx = LoadContext::default(); let result = Model::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.id, "gpt-35-turbo"); assert!(instance.provider.is_some(), "Expected provider to be Some"); @@ -55,11 +53,7 @@ options: "####; let ctx = LoadContext::default(); let result = Model::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.id, "gpt-35-turbo"); assert!(instance.provider.is_some(), "Expected provider to be Some"); @@ -91,13 +85,11 @@ fn test_model_roundtrip() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + + #[test] fn test_model_from_model() { let value = serde_json::json!("example"); @@ -105,3 +97,5 @@ fn test_model_from_model() { let instance = Model::load_from_value(&value, &ctx); assert_eq!(instance.id, "example"); } + + diff --git a/runtime/rust/prompty/tests/model/parser_config_test.rs b/runtime/rust/prompty/tests/model/parser_config_test.rs index a5a151e0..37b6036c 100644 --- a/runtime/rust/prompty/tests/model/parser_config_test.rs +++ b/runtime/rust/prompty/tests/model/parser_config_test.rs @@ -1,7 +1,9 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::ParserConfig; -use prompty::model::context::LoadContext; +use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_parser_config_load_json() { @@ -15,11 +17,7 @@ fn test_parser_config_load_json() { "####; let ctx = LoadContext::default(); let result = ParserConfig::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); } #[test] @@ -32,11 +30,7 @@ options: "####; let ctx = LoadContext::default(); let result = ParserConfig::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); } #[test] @@ -54,6 +48,8 @@ fn test_parser_config_roundtrip() { assert!(result.is_ok(), "Failed to load: {:?}", result.err()); } + + #[test] fn test_parser_config_from_parser() { let value = serde_json::json!("example"); @@ -61,3 +57,5 @@ fn test_parser_config_from_parser() { let instance = ParserConfig::load_from_value(&value, &ctx); let _ = instance; // abstract type, load succeeded } + + diff --git a/runtime/rust/prompty/tests/model/prompty_test.rs b/runtime/rust/prompty/tests/model/prompty_test.rs index ac64b7ef..84c3687f 100644 --- a/runtime/rust/prompty/tests/model/prompty_test.rs +++ b/runtime/rust/prompty/tests/model/prompty_test.rs @@ -1,8 +1,10 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::Prompty; use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_prompty_load_json() { let json = r####" @@ -74,34 +76,15 @@ fn test_prompty_load_json() { "####; let ctx = LoadContext::default(); let result = Prompty::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); assert_eq!(instance.display_name.as_ref().unwrap(), &"Basic Prompt"); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert_eq!( - instance.description.as_ref().unwrap(), - &"A basic prompt that uses the GPT-3 chat API to answer questions" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); - assert_eq!( - instance.instructions.as_ref().unwrap(), - &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" - ); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert_eq!(instance.description.as_ref().unwrap(), &"A basic prompt that uses the GPT-3 chat API to answer questions"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); + assert_eq!(instance.instructions.as_ref().unwrap(), &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}"); } #[test] @@ -175,25 +158,12 @@ instructions: "system: "####; let ctx = LoadContext::default(); let result = Prompty::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); } #[test] @@ -271,13 +241,10 @@ fn test_prompty_roundtrip() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + #[test] fn test_prompty_load_json_1() { let json = r####" @@ -348,34 +315,15 @@ fn test_prompty_load_json_1() { "####; let ctx = LoadContext::default(); let result = Prompty::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); assert_eq!(instance.display_name.as_ref().unwrap(), &"Basic Prompt"); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert_eq!( - instance.description.as_ref().unwrap(), - &"A basic prompt that uses the GPT-3 chat API to answer questions" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); - assert_eq!( - instance.instructions.as_ref().unwrap(), - &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" - ); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert_eq!(instance.description.as_ref().unwrap(), &"A basic prompt that uses the GPT-3 chat API to answer questions"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); + assert_eq!(instance.instructions.as_ref().unwrap(), &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}"); } #[test] @@ -449,25 +397,12 @@ instructions: "system: "####; let ctx = LoadContext::default(); let result = Prompty::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); } #[test] @@ -544,13 +479,10 @@ fn test_prompty_roundtrip_1() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + #[test] fn test_prompty_load_json_2() { let json = r####" @@ -623,34 +555,15 @@ fn test_prompty_load_json_2() { "####; let ctx = LoadContext::default(); let result = Prompty::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); assert_eq!(instance.display_name.as_ref().unwrap(), &"Basic Prompt"); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert_eq!( - instance.description.as_ref().unwrap(), - &"A basic prompt that uses the GPT-3 chat API to answer questions" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); - assert_eq!( - instance.instructions.as_ref().unwrap(), - &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" - ); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert_eq!(instance.description.as_ref().unwrap(), &"A basic prompt that uses the GPT-3 chat API to answer questions"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); + assert_eq!(instance.instructions.as_ref().unwrap(), &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}"); } #[test] @@ -724,25 +637,12 @@ instructions: "system: "####; let ctx = LoadContext::default(); let result = Prompty::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); } #[test] @@ -821,13 +721,10 @@ fn test_prompty_roundtrip_2() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + #[test] fn test_prompty_load_json_3() { let json = r####" @@ -899,34 +796,15 @@ fn test_prompty_load_json_3() { "####; let ctx = LoadContext::default(); let result = Prompty::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); assert_eq!(instance.display_name.as_ref().unwrap(), &"Basic Prompt"); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert_eq!( - instance.description.as_ref().unwrap(), - &"A basic prompt that uses the GPT-3 chat API to answer questions" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); - assert_eq!( - instance.instructions.as_ref().unwrap(), - &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" - ); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert_eq!(instance.description.as_ref().unwrap(), &"A basic prompt that uses the GPT-3 chat API to answer questions"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); + assert_eq!(instance.instructions.as_ref().unwrap(), &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}"); } #[test] @@ -1000,25 +878,12 @@ instructions: "system: "####; let ctx = LoadContext::default(); let result = Prompty::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); } #[test] @@ -1096,13 +961,10 @@ fn test_prompty_roundtrip_3() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + #[test] fn test_prompty_load_json_4() { let json = r####" @@ -1177,34 +1039,15 @@ fn test_prompty_load_json_4() { "####; let ctx = LoadContext::default(); let result = Prompty::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); assert_eq!(instance.display_name.as_ref().unwrap(), &"Basic Prompt"); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert_eq!( - instance.description.as_ref().unwrap(), - &"A basic prompt that uses the GPT-3 chat API to answer questions" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); - assert_eq!( - instance.instructions.as_ref().unwrap(), - &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" - ); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert_eq!(instance.description.as_ref().unwrap(), &"A basic prompt that uses the GPT-3 chat API to answer questions"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); + assert_eq!(instance.instructions.as_ref().unwrap(), &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}"); } #[test] @@ -1278,25 +1121,12 @@ instructions: "system: "####; let ctx = LoadContext::default(); let result = Prompty::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); } #[test] @@ -1377,13 +1207,10 @@ fn test_prompty_roundtrip_4() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + #[test] fn test_prompty_load_json_5() { let json = r####" @@ -1457,34 +1284,15 @@ fn test_prompty_load_json_5() { "####; let ctx = LoadContext::default(); let result = Prompty::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); assert_eq!(instance.display_name.as_ref().unwrap(), &"Basic Prompt"); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert_eq!( - instance.description.as_ref().unwrap(), - &"A basic prompt that uses the GPT-3 chat API to answer questions" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); - assert_eq!( - instance.instructions.as_ref().unwrap(), - &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" - ); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert_eq!(instance.description.as_ref().unwrap(), &"A basic prompt that uses the GPT-3 chat API to answer questions"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); + assert_eq!(instance.instructions.as_ref().unwrap(), &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}"); } #[test] @@ -1558,25 +1366,12 @@ instructions: "system: "####; let ctx = LoadContext::default(); let result = Prompty::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); } #[test] @@ -1656,13 +1451,10 @@ fn test_prompty_roundtrip_5() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + #[test] fn test_prompty_load_json_6() { let json = r####" @@ -1738,34 +1530,15 @@ fn test_prompty_load_json_6() { "####; let ctx = LoadContext::default(); let result = Prompty::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); assert_eq!(instance.display_name.as_ref().unwrap(), &"Basic Prompt"); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert_eq!( - instance.description.as_ref().unwrap(), - &"A basic prompt that uses the GPT-3 chat API to answer questions" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); - assert_eq!( - instance.instructions.as_ref().unwrap(), - &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" - ); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert_eq!(instance.description.as_ref().unwrap(), &"A basic prompt that uses the GPT-3 chat API to answer questions"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); + assert_eq!(instance.instructions.as_ref().unwrap(), &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}"); } #[test] @@ -1839,25 +1612,12 @@ instructions: "system: "####; let ctx = LoadContext::default(); let result = Prompty::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); } #[test] @@ -1939,13 +1699,10 @@ fn test_prompty_roundtrip_6() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + #[test] fn test_prompty_load_json_7() { let json = r####" @@ -2020,34 +1777,15 @@ fn test_prompty_load_json_7() { "####; let ctx = LoadContext::default(); let result = Prompty::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); assert_eq!(instance.display_name.as_ref().unwrap(), &"Basic Prompt"); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert_eq!( - instance.description.as_ref().unwrap(), - &"A basic prompt that uses the GPT-3 chat API to answer questions" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); - assert_eq!( - instance.instructions.as_ref().unwrap(), - &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}" - ); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert_eq!(instance.description.as_ref().unwrap(), &"A basic prompt that uses the GPT-3 chat API to answer questions"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); + assert_eq!(instance.instructions.as_ref().unwrap(), &"system:\nYou are an AI assistant who helps people find information.\nAs the assistant, you answer questions briefly, succinctly,\nand in a personable manner using markdown and even add some \npersonal flair with appropriate emojis.\n\n# Customer\nYou are helping {{firstName}} {{lastName}} to find answers to \ntheir questions. Use their name to address them in your responses.\nuser:\n{{question}}"); } #[test] @@ -2121,25 +1859,12 @@ instructions: "system: "####; let ctx = LoadContext::default(); let result = Prompty::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); assert_eq!(instance.name, "basic-prompt"); - assert!( - instance.display_name.is_some(), - "Expected display_name to be Some" - ); - assert!( - instance.description.is_some(), - "Expected description to be Some" - ); - assert!( - instance.instructions.is_some(), - "Expected instructions to be Some" - ); + assert!(instance.display_name.is_some(), "Expected display_name to be Some"); + assert!(instance.description.is_some(), "Expected description to be Some"); + assert!(instance.instructions.is_some(), "Expected instructions to be Some"); } #[test] @@ -2220,9 +1945,8 @@ fn test_prompty_roundtrip_7() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + + + diff --git a/runtime/rust/prompty/tests/model/property_test.rs b/runtime/rust/prompty/tests/model/property_test.rs index 7ba02fb6..9815e9c4 100644 --- a/runtime/rust/prompty/tests/model/property_test.rs +++ b/runtime/rust/prompty/tests/model/property_test.rs @@ -1,7 +1,9 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::Property; -use prompty::model::context::LoadContext; +use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_property_load_json() { @@ -22,11 +24,7 @@ fn test_property_load_json() { "####; let ctx = LoadContext::default(); let result = Property::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); } #[test] @@ -46,11 +44,7 @@ enumValues: "####; let ctx = LoadContext::default(); let result = Property::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); } #[test] @@ -75,6 +69,8 @@ fn test_property_roundtrip() { assert!(result.is_ok(), "Failed to load: {:?}", result.err()); } + + #[test] fn test_property_from_input() { let value = serde_json::json!(false); @@ -83,6 +79,7 @@ fn test_property_from_input() { let _ = instance; // abstract type, load succeeded } + #[test] fn test_property_from_input_2() { let value = serde_json::json!(3.14); @@ -91,6 +88,7 @@ fn test_property_from_input_2() { let _ = instance; // abstract type, load succeeded } + #[test] fn test_property_from_input_3() { let value = serde_json::json!(4); @@ -99,6 +97,7 @@ fn test_property_from_input_3() { let _ = instance; // abstract type, load succeeded } + #[test] fn test_property_from_input_4() { let value = serde_json::json!("example"); @@ -106,3 +105,5 @@ fn test_property_from_input_4() { let instance = Property::load_from_value(&value, &ctx); let _ = instance; // abstract type, load succeeded } + + diff --git a/runtime/rust/prompty/tests/model/stream_chunk_test.rs b/runtime/rust/prompty/tests/model/stream_chunk_test.rs new file mode 100644 index 00000000..5dd211a5 --- /dev/null +++ b/runtime/rust/prompty/tests/model/stream_chunk_test.rs @@ -0,0 +1,8 @@ + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use prompty::model::StreamChunk; +use prompty::model::context::{LoadContext, SaveContext}; + + + diff --git a/runtime/rust/prompty/tests/model/template_test.rs b/runtime/rust/prompty/tests/model/template_test.rs index d3e65627..77803e61 100644 --- a/runtime/rust/prompty/tests/model/template_test.rs +++ b/runtime/rust/prompty/tests/model/template_test.rs @@ -1,8 +1,10 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::Template; use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_template_load_json() { let json = r####" @@ -17,11 +19,7 @@ fn test_template_load_json() { "####; let ctx = LoadContext::default(); let result = Template::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); let instance = result.unwrap(); let _ = instance; // load succeeded, no scalar properties to validate } @@ -37,11 +35,7 @@ parser: "####; let ctx = LoadContext::default(); let result = Template::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); let instance = result.unwrap(); let _ = instance; // load succeeded, no scalar properties to validate } @@ -64,9 +58,8 @@ fn test_template_roundtrip() { let instance = result.unwrap(); let save_ctx = SaveContext::default(); let json_output = instance.to_json(&save_ctx); - assert!( - json_output.is_ok(), - "Failed to serialize to JSON: {:?}", - json_output.err() - ); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); } + + + diff --git a/runtime/rust/prompty/tests/model/tool_call_test.rs b/runtime/rust/prompty/tests/model/tool_call_test.rs new file mode 100644 index 00000000..79bc4957 --- /dev/null +++ b/runtime/rust/prompty/tests/model/tool_call_test.rs @@ -0,0 +1,62 @@ + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use prompty::model::ToolCall; +use prompty::model::context::{LoadContext, SaveContext}; + + +#[test] +fn test_tool_call_load_json() { + let json = r####" +{ + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" +} +"####; + let ctx = LoadContext::default(); + let result = ToolCall::from_json(json, &ctx); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); + let instance = result.unwrap(); + assert_eq!(instance.id, "call_abc123"); + assert_eq!(instance.name, "get_weather"); + assert_eq!(instance.arguments, "{\"city\": \"Paris\"}"); +} + +#[test] +fn test_tool_call_load_yaml() { + let yaml = r####" +id: call_abc123 +name: get_weather +arguments: "{\"city\": \"Paris\"}" + +"####; + let ctx = LoadContext::default(); + let result = ToolCall::from_yaml(yaml, &ctx); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); + let instance = result.unwrap(); + assert_eq!(instance.id, "call_abc123"); + assert_eq!(instance.name, "get_weather"); + assert_eq!(instance.arguments, "{\"city\": \"Paris\"}"); +} + +#[test] +fn test_tool_call_roundtrip() { + let json = r####" +{ + "id": "call_abc123", + "name": "get_weather", + "arguments": "{\"city\": \"Paris\"}" +} +"####; + let load_ctx = LoadContext::default(); + let result = ToolCall::from_json(json, &load_ctx); + assert!(result.is_ok(), "Failed to load: {:?}", result.err()); + let instance = result.unwrap(); + let save_ctx = SaveContext::default(); + let json_output = instance.to_json(&save_ctx); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); +} + + + diff --git a/runtime/rust/prompty/tests/model/tool_result_test.rs b/runtime/rust/prompty/tests/model/tool_result_test.rs new file mode 100644 index 00000000..5a1ddbbd --- /dev/null +++ b/runtime/rust/prompty/tests/model/tool_result_test.rs @@ -0,0 +1,64 @@ + +// Code generated by AgentSchema emitter; DO NOT EDIT. + +use prompty::model::ToolResult; +use prompty::model::context::{LoadContext, SaveContext}; + + +#[test] +fn test_tool_result_load_json() { + let json = r####" +{ + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] +} +"####; + let ctx = LoadContext::default(); + let result = ToolResult::from_json(json, &ctx); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); + let instance = result.unwrap(); + let _ = instance; // load succeeded, no scalar properties to validate +} + +#[test] +fn test_tool_result_load_yaml() { + let yaml = r####" +parts: + - kind: text + value: 72°F and sunny + +"####; + let ctx = LoadContext::default(); + let result = ToolResult::from_yaml(yaml, &ctx); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); + let instance = result.unwrap(); + let _ = instance; // load succeeded, no scalar properties to validate +} + +#[test] +fn test_tool_result_roundtrip() { + let json = r####" +{ + "parts": [ + { + "kind": "text", + "value": "72°F and sunny" + } + ] +} +"####; + let load_ctx = LoadContext::default(); + let result = ToolResult::from_json(json, &load_ctx); + assert!(result.is_ok(), "Failed to load: {:?}", result.err()); + let instance = result.unwrap(); + let save_ctx = SaveContext::default(); + let json_output = instance.to_json(&save_ctx); + assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); +} + + + diff --git a/runtime/rust/prompty/tests/model/tool_test.rs b/runtime/rust/prompty/tests/model/tool_test.rs index 14ddd1e9..3987de92 100644 --- a/runtime/rust/prompty/tests/model/tool_test.rs +++ b/runtime/rust/prompty/tests/model/tool_test.rs @@ -1,7 +1,9 @@ + // Code generated by AgentSchema emitter; DO NOT EDIT. use prompty::model::Tool; -use prompty::model::context::LoadContext; +use prompty::model::context::{LoadContext, SaveContext}; + #[test] fn test_tool_load_json() { @@ -17,11 +19,7 @@ fn test_tool_load_json() { "####; let ctx = LoadContext::default(); let result = Tool::from_json(json, &ctx); - assert!( - result.is_ok(), - "Failed to load from JSON: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); } #[test] @@ -36,11 +34,7 @@ bindings: "####; let ctx = LoadContext::default(); let result = Tool::from_yaml(yaml, &ctx); - assert!( - result.is_ok(), - "Failed to load from YAML: {:?}", - result.err() - ); + assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); } #[test] @@ -59,3 +53,6 @@ fn test_tool_roundtrip() { let result = Tool::from_json(json, &load_ctx); assert!(result.is_ok(), "Failed to load: {:?}", result.err()); } + + + diff --git a/runtime/typescript/package-lock.json b/runtime/typescript/package-lock.json index fd9672d4..dc98ecbc 100644 --- a/runtime/typescript/package-lock.json +++ b/runtime/typescript/package-lock.json @@ -3498,11 +3498,11 @@ }, "packages/anthropic": { "name": "@prompty/anthropic", - "version": "2.0.0-alpha.8", + "version": "2.0.0-alpha.10", "license": "MIT", "devDependencies": { "@anthropic-ai/sdk": "^0.39.0", - "@prompty/core": "file:../core", + "@prompty/core": "^2.0.0-alpha.10", "@types/node": "^20.11.0", "dotenv": "^16.4.0", "tsup": "^8.4.0", @@ -3514,7 +3514,7 @@ }, "peerDependencies": { "@anthropic-ai/sdk": ">=0.39.0", - "@prompty/core": "^2.0.0-alpha.8" + "@prompty/core": "^2.0.0-alpha.10" }, "peerDependenciesMeta": { "@anthropic-ai/sdk": { @@ -3524,7 +3524,7 @@ }, "packages/core": { "name": "@prompty/core", - "version": "2.0.0-alpha.8", + "version": "2.0.0-alpha.10", "license": "MIT", "dependencies": { "gray-matter": "^4.0.3", @@ -3534,8 +3534,8 @@ }, "devDependencies": { "@opentelemetry/api": "^1.9.0", - "@prompty/anthropic": "*", - "@prompty/openai": "*", + "@prompty/anthropic": "^2.0.0-alpha.10", + "@prompty/openai": "^2.0.0-alpha.10", "@types/mustache": "^4.2.5", "@types/node": "^20.11.0", "@types/nunjucks": "^3.2.6", @@ -3558,7 +3558,7 @@ }, "packages/foundry": { "name": "@prompty/foundry", - "version": "2.0.0-alpha.8", + "version": "2.0.0-alpha.10", "license": "MIT", "dependencies": { "@azure/ai-projects": "^2.0.1", @@ -3566,8 +3566,8 @@ "openai": "^4.80.0" }, "devDependencies": { - "@prompty/core": "^2.0.0-alpha.8", - "@prompty/openai": "^2.0.0-alpha.8", + "@prompty/core": "^2.0.0-alpha.10", + "@prompty/openai": "^2.0.0-alpha.10", "@types/node": "^20.11.0", "dotenv": "^16.4.0", "tsup": "^8.4.0", @@ -3578,19 +3578,19 @@ "node": ">=18.0.0" }, "peerDependencies": { - "@prompty/core": "^2.0.0-alpha.8", - "@prompty/openai": "^2.0.0-alpha.8" + "@prompty/core": "^2.0.0-alpha.10", + "@prompty/openai": "^2.0.0-alpha.10" } }, "packages/openai": { "name": "@prompty/openai", - "version": "2.0.0-alpha.8", + "version": "2.0.0-alpha.10", "license": "MIT", "dependencies": { "openai": "^4.80.0" }, "devDependencies": { - "@prompty/core": "^2.0.0-alpha.8", + "@prompty/core": "^2.0.0-alpha.10", "@types/node": "^20.11.0", "dotenv": "^16.4.0", "tsup": "^8.4.0", @@ -3601,7 +3601,7 @@ "node": ">=18.0.0" }, "peerDependencies": { - "@prompty/core": "^2.0.0-alpha.8" + "@prompty/core": "^2.0.0-alpha.10" } } } diff --git a/runtime/typescript/packages/core/src/model/content-part.ts b/runtime/typescript/packages/core/src/model/content-part.ts new file mode 100644 index 00000000..8126fc0b --- /dev/null +++ b/runtime/typescript/packages/core/src/model/content-part.ts @@ -0,0 +1,774 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { LoadContext, SaveContext } from "./context"; + +/** + * A part of a message's content. Content parts are discriminated on the `kind` + * field and represent the different modalities that can appear in a message. + * + */ +export abstract class ContentPart { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The kind of content part + */ + kind: string = ""; + + /** + * Initializes a new instance of ContentPart. + */ + constructor(init?: Partial) { + this.kind = init?.kind ?? ""; + } + + //#region Load Methods + + /** + * Load a ContentPart instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ContentPart instance. + */ + static load( + data: Record, + context?: LoadContext, + ): ContentPart { + if (context) { + data = context.processInput(data); + } + + // Load polymorphic ContentPart instance + const instance = ContentPart.loadKind(data, context); + + if (data["kind"] !== undefined && data["kind"] !== null) { + instance.kind = String(data["kind"]); + } + + if (context) { + return context.processOutput(instance) as ContentPart; + } + return instance; + } + + /** + * Load polymorphic ContentPart based on discriminator. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ContentPart instance. + */ + private static loadKind( + data: Record, + context?: LoadContext, + ): ContentPart { + const discriminatorValue = data["kind"]; + if (discriminatorValue !== undefined && discriminatorValue !== null) { + const discriminator = String(discriminatorValue).toLowerCase(); + switch (discriminator) { + case "text": + return TextPart.load(data, context); + case "image": + return ImagePart.load(data, context); + case "file": + return FilePart.load(data, context); + case "audio": + return AudioPart.load(data, context); + default: + throw new Error( + `Unknown ContentPart discriminator value: ${discriminator}`, + ); + } + } + + throw new Error("Missing ContentPart discriminator property: 'kind'"); + } + + //#endregion + + //#region Save Methods + + /** + * Save the ContentPart instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as ContentPart) : this; + + const result: Record = {}; + + if (obj.kind !== undefined && obj.kind !== null) { + result["kind"] = obj.kind; + } + + if (context) { + return context.processDict(result); + } + + return result; + } + + /** + * Convert the ContentPart instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the ContentPart instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a ContentPart instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ContentPart instance. + */ + static fromJson(json: string, context?: LoadContext): ContentPart { + const data = JSON.parse(json); + + return ContentPart.load(data as Record, context); + } + + /** + * Load a ContentPart instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ContentPart instance. + */ + static fromYaml(yaml: string, context?: LoadContext): ContentPart { + const { parse } = require("yaml"); + const data = parse(yaml); + + return ContentPart.load(data as Record, context); + } + + //#endregion +} + +/** + * A text content part. + * + */ +export class TextPart extends ContentPart { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The kind identifier for text content + */ + kind: string = "text"; + + /** + * The text content + */ + value: string = ""; + + /** + * Initializes a new instance of TextPart. + */ + constructor(init?: Partial) { + super(init); + + this.kind = init?.kind ?? "text"; + + this.value = init?.value ?? ""; + } + + //#region Load Methods + + /** + * Load a TextPart instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded TextPart instance. + */ + static load(data: Record, context?: LoadContext): TextPart { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new TextPart(); + + if (data["kind"] !== undefined && data["kind"] !== null) { + instance.kind = String(data["kind"]); + } + + if (data["value"] !== undefined && data["value"] !== null) { + instance.value = String(data["value"]); + } + + if (context) { + return context.processOutput(instance) as TextPart; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the TextPart instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as TextPart) : this; + + // Start with parent class properties + const result = super.save(context); + + if (obj.kind !== undefined && obj.kind !== null) { + result["kind"] = obj.kind; + } + + if (obj.value !== undefined && obj.value !== null) { + result["value"] = obj.value; + } + + return result; + } + + /** + * Convert the TextPart instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the TextPart instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a TextPart instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded TextPart instance. + */ + static fromJson(json: string, context?: LoadContext): TextPart { + const data = JSON.parse(json); + + return TextPart.load(data as Record, context); + } + + /** + * Load a TextPart instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded TextPart instance. + */ + static fromYaml(yaml: string, context?: LoadContext): TextPart { + const { parse } = require("yaml"); + const data = parse(yaml); + + return TextPart.load(data as Record, context); + } + + //#endregion +} + +/** + * An image content part. The source may be a URL or base64-encoded data. + * + */ +export class ImagePart extends ContentPart { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The kind identifier for image content + */ + kind: string = "image"; + + /** + * URL or base64-encoded image data + */ + source: string = ""; + + /** + * Detail level hint for the model (e.g., 'auto', 'low', 'high') + */ + detail?: string | undefined; + + /** + * MIME type of the image (e.g., 'image/png') + */ + mediaType?: string | undefined; + + /** + * Initializes a new instance of ImagePart. + */ + constructor(init?: Partial) { + super(init); + + this.kind = init?.kind ?? "image"; + + this.source = init?.source ?? ""; + + if (init?.detail !== undefined) { + this.detail = init.detail; + } + + if (init?.mediaType !== undefined) { + this.mediaType = init.mediaType; + } + } + + //#region Load Methods + + /** + * Load a ImagePart instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ImagePart instance. + */ + static load(data: Record, context?: LoadContext): ImagePart { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new ImagePart(); + + if (data["kind"] !== undefined && data["kind"] !== null) { + instance.kind = String(data["kind"]); + } + + if (data["source"] !== undefined && data["source"] !== null) { + instance.source = String(data["source"]); + } + + if (data["detail"] !== undefined && data["detail"] !== null) { + instance.detail = String(data["detail"]); + } + + if (data["mediaType"] !== undefined && data["mediaType"] !== null) { + instance.mediaType = String(data["mediaType"]); + } + + if (context) { + return context.processOutput(instance) as ImagePart; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the ImagePart instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as ImagePart) : this; + + // Start with parent class properties + const result = super.save(context); + + if (obj.kind !== undefined && obj.kind !== null) { + result["kind"] = obj.kind; + } + + if (obj.source !== undefined && obj.source !== null) { + result["source"] = obj.source; + } + + if (obj.detail !== undefined && obj.detail !== null) { + result["detail"] = obj.detail; + } + + if (obj.mediaType !== undefined && obj.mediaType !== null) { + result["mediaType"] = obj.mediaType; + } + + return result; + } + + /** + * Convert the ImagePart instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the ImagePart instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a ImagePart instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ImagePart instance. + */ + static fromJson(json: string, context?: LoadContext): ImagePart { + const data = JSON.parse(json); + + return ImagePart.load(data as Record, context); + } + + /** + * Load a ImagePart instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ImagePart instance. + */ + static fromYaml(yaml: string, context?: LoadContext): ImagePart { + const { parse } = require("yaml"); + const data = parse(yaml); + + return ImagePart.load(data as Record, context); + } + + //#endregion +} + +/** + * A file content part. The source may be a URL or base64-encoded data. + * + */ +export class FilePart extends ContentPart { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The kind identifier for file content + */ + kind: string = "file"; + + /** + * URL or base64-encoded file data + */ + source: string = ""; + + /** + * MIME type of the file (e.g., 'application/pdf') + */ + mediaType?: string | undefined; + + /** + * Initializes a new instance of FilePart. + */ + constructor(init?: Partial) { + super(init); + + this.kind = init?.kind ?? "file"; + + this.source = init?.source ?? ""; + + if (init?.mediaType !== undefined) { + this.mediaType = init.mediaType; + } + } + + //#region Load Methods + + /** + * Load a FilePart instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded FilePart instance. + */ + static load(data: Record, context?: LoadContext): FilePart { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new FilePart(); + + if (data["kind"] !== undefined && data["kind"] !== null) { + instance.kind = String(data["kind"]); + } + + if (data["source"] !== undefined && data["source"] !== null) { + instance.source = String(data["source"]); + } + + if (data["mediaType"] !== undefined && data["mediaType"] !== null) { + instance.mediaType = String(data["mediaType"]); + } + + if (context) { + return context.processOutput(instance) as FilePart; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the FilePart instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as FilePart) : this; + + // Start with parent class properties + const result = super.save(context); + + if (obj.kind !== undefined && obj.kind !== null) { + result["kind"] = obj.kind; + } + + if (obj.source !== undefined && obj.source !== null) { + result["source"] = obj.source; + } + + if (obj.mediaType !== undefined && obj.mediaType !== null) { + result["mediaType"] = obj.mediaType; + } + + return result; + } + + /** + * Convert the FilePart instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the FilePart instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a FilePart instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded FilePart instance. + */ + static fromJson(json: string, context?: LoadContext): FilePart { + const data = JSON.parse(json); + + return FilePart.load(data as Record, context); + } + + /** + * Load a FilePart instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded FilePart instance. + */ + static fromYaml(yaml: string, context?: LoadContext): FilePart { + const { parse } = require("yaml"); + const data = parse(yaml); + + return FilePart.load(data as Record, context); + } + + //#endregion +} + +/** + * An audio content part. The source may be a URL or base64-encoded data. + * + */ +export class AudioPart extends ContentPart { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The kind identifier for audio content + */ + kind: string = "audio"; + + /** + * URL or base64-encoded audio data + */ + source: string = ""; + + /** + * MIME type of the audio (e.g., 'audio/wav') + */ + mediaType?: string | undefined; + + /** + * Initializes a new instance of AudioPart. + */ + constructor(init?: Partial) { + super(init); + + this.kind = init?.kind ?? "audio"; + + this.source = init?.source ?? ""; + + if (init?.mediaType !== undefined) { + this.mediaType = init.mediaType; + } + } + + //#region Load Methods + + /** + * Load a AudioPart instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded AudioPart instance. + */ + static load(data: Record, context?: LoadContext): AudioPart { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new AudioPart(); + + if (data["kind"] !== undefined && data["kind"] !== null) { + instance.kind = String(data["kind"]); + } + + if (data["source"] !== undefined && data["source"] !== null) { + instance.source = String(data["source"]); + } + + if (data["mediaType"] !== undefined && data["mediaType"] !== null) { + instance.mediaType = String(data["mediaType"]); + } + + if (context) { + return context.processOutput(instance) as AudioPart; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the AudioPart instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as AudioPart) : this; + + // Start with parent class properties + const result = super.save(context); + + if (obj.kind !== undefined && obj.kind !== null) { + result["kind"] = obj.kind; + } + + if (obj.source !== undefined && obj.source !== null) { + result["source"] = obj.source; + } + + if (obj.mediaType !== undefined && obj.mediaType !== null) { + result["mediaType"] = obj.mediaType; + } + + return result; + } + + /** + * Convert the AudioPart instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the AudioPart instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a AudioPart instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded AudioPart instance. + */ + static fromJson(json: string, context?: LoadContext): AudioPart { + const data = JSON.parse(json); + + return AudioPart.load(data as Record, context); + } + + /** + * Load a AudioPart instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded AudioPart instance. + */ + static fromYaml(yaml: string, context?: LoadContext): AudioPart { + const { parse } = require("yaml"); + const data = parse(yaml); + + return AudioPart.load(data as Record, context); + } + + //#endregion +} diff --git a/runtime/typescript/packages/core/src/model/guardrail-result.ts b/runtime/typescript/packages/core/src/model/guardrail-result.ts new file mode 100644 index 00000000..e4817634 --- /dev/null +++ b/runtime/typescript/packages/core/src/model/guardrail-result.ts @@ -0,0 +1,167 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { LoadContext, SaveContext } from "./context"; + +/** + * The result of a guardrail evaluation. Guardrails are safety checks that + * run at specific phases of the agent loop and can allow, deny, or rewrite + * content. + * + */ +export class GuardrailResult { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * Whether the content passed the guardrail check + */ + allowed: boolean = false; + + /** + * Explanation of why the content was allowed or denied + */ + reason?: string | undefined; + + /** + * Optional rewritten content to replace the original + */ + rewrite?: unknown | undefined; + + /** + * Initializes a new instance of GuardrailResult. + */ + constructor(init?: Partial) { + this.allowed = init?.allowed ?? false; + + if (init?.reason !== undefined) { + this.reason = init.reason; + } + + if (init?.rewrite !== undefined) { + this.rewrite = init.rewrite; + } + } + + //#region Load Methods + + /** + * Load a GuardrailResult instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded GuardrailResult instance. + */ + static load( + data: Record, + context?: LoadContext, + ): GuardrailResult { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new GuardrailResult(); + + if (data["allowed"] !== undefined && data["allowed"] !== null) { + instance.allowed = Boolean(data["allowed"]); + } + + if (data["reason"] !== undefined && data["reason"] !== null) { + instance.reason = String(data["reason"]); + } + + if (data["rewrite"] !== undefined && data["rewrite"] !== null) { + instance.rewrite = data["rewrite"] as unknown; + } + + if (context) { + return context.processOutput(instance) as GuardrailResult; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the GuardrailResult instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context + ? (context.processObject(this) as GuardrailResult) + : this; + + const result: Record = {}; + + if (obj.allowed !== undefined && obj.allowed !== null) { + result["allowed"] = obj.allowed; + } + + if (obj.reason !== undefined && obj.reason !== null) { + result["reason"] = obj.reason; + } + + if (obj.rewrite !== undefined && obj.rewrite !== null) { + result["rewrite"] = obj.rewrite; + } + + if (context) { + return context.processDict(result); + } + + return result; + } + + /** + * Convert the GuardrailResult instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the GuardrailResult instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a GuardrailResult instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded GuardrailResult instance. + */ + static fromJson(json: string, context?: LoadContext): GuardrailResult { + const data = JSON.parse(json); + + return GuardrailResult.load(data as Record, context); + } + + /** + * Load a GuardrailResult instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded GuardrailResult instance. + */ + static fromYaml(yaml: string, context?: LoadContext): GuardrailResult { + const { parse } = require("yaml"); + const data = parse(yaml); + + return GuardrailResult.load(data as Record, context); + } + + //#endregion +} diff --git a/runtime/typescript/packages/core/src/model/index.ts b/runtime/typescript/packages/core/src/model/index.ts index 87c60b20..566d963a 100644 --- a/runtime/typescript/packages/core/src/model/index.ts +++ b/runtime/typescript/packages/core/src/model/index.ts @@ -39,3 +39,29 @@ export { ParserConfig } from "./parser-config"; export { Template } from "./template"; export { Prompty } from "./prompty"; + +export { + ContentPart, + TextPart, + ImagePart, + FilePart, + AudioPart, +} from "./content-part"; + +export { Message } from "./message"; + +export { ToolCall } from "./tool-call"; + +export { ToolResult } from "./tool-result"; + +export { + StreamChunk, + TextChunk, + ThinkingChunk, + ToolChunk, + ErrorChunk, +} from "./stream-chunk"; + +export { GuardrailResult } from "./guardrail-result"; + +export { ModelInfo } from "./model-info"; diff --git a/runtime/typescript/packages/core/src/model/message.ts b/runtime/typescript/packages/core/src/model/message.ts new file mode 100644 index 00000000..482c84bf --- /dev/null +++ b/runtime/typescript/packages/core/src/model/message.ts @@ -0,0 +1,226 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { LoadContext, SaveContext } from "./context"; +import { ContentPart } from "./content-part"; + +/** + * A message in a conversation. Messages have a role and a list of content parts + * representing the different modalities of the message content. + * + */ +export class Message { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The role of the message sender + */ + role: string = ""; + + /** + * The content parts of the message + */ + parts: ContentPart[] = []; + + /** + * Optional metadata associated with the message + */ + metadata?: Record | undefined = {}; + + /** + * Initializes a new instance of Message. + */ + constructor(init?: Partial) { + this.role = init?.role ?? ""; + + this.parts = init?.parts ?? []; + + if (init?.metadata !== undefined) { + this.metadata = init.metadata; + } + } + + //#region Load Methods + + /** + * Load a Message instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded Message instance. + */ + static load(data: Record, context?: LoadContext): Message { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new Message(); + + if (data["role"] !== undefined && data["role"] !== null) { + instance.role = String(data["role"]); + } + + if (data["parts"] !== undefined && data["parts"] !== null) { + instance.parts = Message.loadParts(data["parts"], context); + } + + if (data["metadata"] !== undefined && data["metadata"] !== null) { + instance.metadata = data["metadata"] as Record; + } + + if (context) { + return context.processOutput(instance) as Message; + } + return instance; + } + + /** + * Load a collection of ContentPart from a dictionary or array. + * @param data - The data to load from. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded array of ContentPart. + */ + static loadParts(data: unknown, context?: LoadContext): ContentPart[] { + const result: ContentPart[] = []; + + if (data && typeof data === "object" && !Array.isArray(data)) { + // Convert named dictionary to array + for (const [key, value] of Object.entries( + data as Record, + )) { + if (Array.isArray(value)) { + throw new Error( + `Invalid 'parts' format: key '${key}' has an array value. ` + + `'parts' must be a flat list of objects or a name-keyed dict — ` + + `not a nested { ${key}: [...] } structure.`, + ); + } + if (value && typeof value === "object") { + // Value is an object, add name to it + (value as Record)["name"] = key; + result.push( + ContentPart.load(value as Record, context), + ); + } else { + // Value is a scalar — let ContentPart.load() infer kind from value + const prop = ContentPart.load( + value as Record, + context, + ); + prop.name = key; + result.push(prop); + } + } + } else if (Array.isArray(data)) { + for (const item of data) { + if (item && typeof item === "object") { + result.push( + ContentPart.load(item as Record, context), + ); + } + } + } + + return result; + } + + //#endregion + + //#region Save Methods + + /** + * Save the Message instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as Message) : this; + + const result: Record = {}; + + if (obj.role !== undefined && obj.role !== null) { + result["role"] = obj.role; + } + + if (obj.parts !== undefined && obj.parts !== null) { + result["parts"] = Message.saveParts(obj.parts, context); + } + + if (obj.metadata !== undefined && obj.metadata !== null) { + result["metadata"] = obj.metadata; + } + + if (context) { + return context.processDict(result); + } + + return result; + } + + /** + * Save a collection of ContentPart to object or array format. + * @param items - The items to save. + * @param context - Optional context with pre/post processing callbacks. + * @returns The saved collection in object or array format. + */ + static saveParts( + items: ContentPart[], + context?: SaveContext, + ): Record | Record[] { + context = context ?? new SaveContext(); + + // This type doesn't have a 'name' property, so always use array format + return items.map((item) => item.save(context)); + } + + /** + * Convert the Message instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the Message instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a Message instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded Message instance. + */ + static fromJson(json: string, context?: LoadContext): Message { + const data = JSON.parse(json); + + return Message.load(data as Record, context); + } + + /** + * Load a Message instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded Message instance. + */ + static fromYaml(yaml: string, context?: LoadContext): Message { + const { parse } = require("yaml"); + const data = parse(yaml); + + return Message.load(data as Record, context); + } + + //#endregion +} diff --git a/runtime/typescript/packages/core/src/model/model-info.ts b/runtime/typescript/packages/core/src/model/model-info.ts new file mode 100644 index 00000000..17dfd250 --- /dev/null +++ b/runtime/typescript/packages/core/src/model/model-info.ts @@ -0,0 +1,252 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { LoadContext, SaveContext } from "./context"; + +/** + * Information about a model available from a provider. Used by provider-level + * model discovery to report which models are available and their capabilities. + * + * Not all providers return all fields — implementations SHOULD populate as + * many fields as the provider's API supports and MAY enrich sparse results + * from a built-in lookup table of known models. + * + */ +export class ModelInfo { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The model identifier (e.g., 'gpt-4o', 'claude-3-opus') + */ + id: string = ""; + + /** + * Human-readable display name + */ + displayName?: string | undefined; + + /** + * The organization or entity that owns the model + */ + ownedBy?: string | undefined; + + /** + * Maximum context window size in tokens + */ + contextWindow?: number | undefined; + + /** + * Input modalities the model accepts (e.g., 'text', 'image', 'audio') + */ + inputModalities?: string[] = []; + + /** + * Output modalities the model can produce (e.g., 'text', 'audio') + */ + outputModalities?: string[] = []; + + /** + * Additional provider-specific properties + */ + additionalProperties?: Record | undefined = {}; + + /** + * Initializes a new instance of ModelInfo. + */ + constructor(init?: Partial) { + this.id = init?.id ?? ""; + + if (init?.displayName !== undefined) { + this.displayName = init.displayName; + } + + if (init?.ownedBy !== undefined) { + this.ownedBy = init.ownedBy; + } + + if (init?.contextWindow !== undefined) { + this.contextWindow = init.contextWindow; + } + + if (init?.inputModalities !== undefined) { + this.inputModalities = init.inputModalities; + } + + if (init?.outputModalities !== undefined) { + this.outputModalities = init.outputModalities; + } + + if (init?.additionalProperties !== undefined) { + this.additionalProperties = init.additionalProperties; + } + } + + //#region Load Methods + + /** + * Load a ModelInfo instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ModelInfo instance. + */ + static load(data: Record, context?: LoadContext): ModelInfo { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new ModelInfo(); + + if (data["id"] !== undefined && data["id"] !== null) { + instance.id = String(data["id"]); + } + + if (data["displayName"] !== undefined && data["displayName"] !== null) { + instance.displayName = String(data["displayName"]); + } + + if (data["ownedBy"] !== undefined && data["ownedBy"] !== null) { + instance.ownedBy = String(data["ownedBy"]); + } + + if (data["contextWindow"] !== undefined && data["contextWindow"] !== null) { + instance.contextWindow = Number(data["contextWindow"]); + } + + if ( + data["inputModalities"] !== undefined && + data["inputModalities"] !== null + ) { + instance.inputModalities = Array.isArray(data["inputModalities"]) + ? (data["inputModalities"] as unknown[]).map((v) => String(v)) + : []; + } + + if ( + data["outputModalities"] !== undefined && + data["outputModalities"] !== null + ) { + instance.outputModalities = Array.isArray(data["outputModalities"]) + ? (data["outputModalities"] as unknown[]).map((v) => String(v)) + : []; + } + + if ( + data["additionalProperties"] !== undefined && + data["additionalProperties"] !== null + ) { + instance.additionalProperties = data["additionalProperties"] as Record< + string, + unknown + >; + } + + if (context) { + return context.processOutput(instance) as ModelInfo; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the ModelInfo instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as ModelInfo) : this; + + const result: Record = {}; + + if (obj.id !== undefined && obj.id !== null) { + result["id"] = obj.id; + } + + if (obj.displayName !== undefined && obj.displayName !== null) { + result["displayName"] = obj.displayName; + } + + if (obj.ownedBy !== undefined && obj.ownedBy !== null) { + result["ownedBy"] = obj.ownedBy; + } + + if (obj.contextWindow !== undefined && obj.contextWindow !== null) { + result["contextWindow"] = obj.contextWindow; + } + + if (obj.inputModalities !== undefined && obj.inputModalities !== null) { + result["inputModalities"] = obj.inputModalities; + } + + if (obj.outputModalities !== undefined && obj.outputModalities !== null) { + result["outputModalities"] = obj.outputModalities; + } + + if ( + obj.additionalProperties !== undefined && + obj.additionalProperties !== null + ) { + result["additionalProperties"] = obj.additionalProperties; + } + + if (context) { + return context.processDict(result); + } + + return result; + } + + /** + * Convert the ModelInfo instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the ModelInfo instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a ModelInfo instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ModelInfo instance. + */ + static fromJson(json: string, context?: LoadContext): ModelInfo { + const data = JSON.parse(json); + + return ModelInfo.load(data as Record, context); + } + + /** + * Load a ModelInfo instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ModelInfo instance. + */ + static fromYaml(yaml: string, context?: LoadContext): ModelInfo { + const { parse } = require("yaml"); + const data = parse(yaml); + + return ModelInfo.load(data as Record, context); + } + + //#endregion +} diff --git a/runtime/typescript/packages/core/src/model/stream-chunk.ts b/runtime/typescript/packages/core/src/model/stream-chunk.ts new file mode 100644 index 00000000..e21f82f2 --- /dev/null +++ b/runtime/typescript/packages/core/src/model/stream-chunk.ts @@ -0,0 +1,716 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { LoadContext, SaveContext } from "./context"; +import { ToolCall } from "./tool-call"; + +/** + * A chunk of data from a streaming LLM response. Stream chunks are + * discriminated on the `kind` field. + * + */ +export abstract class StreamChunk { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The kind of stream chunk + */ + kind: string = ""; + + /** + * Initializes a new instance of StreamChunk. + */ + constructor(init?: Partial) { + this.kind = init?.kind ?? ""; + } + + //#region Load Methods + + /** + * Load a StreamChunk instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded StreamChunk instance. + */ + static load( + data: Record, + context?: LoadContext, + ): StreamChunk { + if (context) { + data = context.processInput(data); + } + + // Load polymorphic StreamChunk instance + const instance = StreamChunk.loadKind(data, context); + + if (data["kind"] !== undefined && data["kind"] !== null) { + instance.kind = String(data["kind"]); + } + + if (context) { + return context.processOutput(instance) as StreamChunk; + } + return instance; + } + + /** + * Load polymorphic StreamChunk based on discriminator. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded StreamChunk instance. + */ + private static loadKind( + data: Record, + context?: LoadContext, + ): StreamChunk { + const discriminatorValue = data["kind"]; + if (discriminatorValue !== undefined && discriminatorValue !== null) { + const discriminator = String(discriminatorValue).toLowerCase(); + switch (discriminator) { + case "text": + return TextChunk.load(data, context); + case "thinking": + return ThinkingChunk.load(data, context); + case "tool": + return ToolChunk.load(data, context); + case "error": + return ErrorChunk.load(data, context); + default: + throw new Error( + `Unknown StreamChunk discriminator value: ${discriminator}`, + ); + } + } + + throw new Error("Missing StreamChunk discriminator property: 'kind'"); + } + + //#endregion + + //#region Save Methods + + /** + * Save the StreamChunk instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as StreamChunk) : this; + + const result: Record = {}; + + if (obj.kind !== undefined && obj.kind !== null) { + result["kind"] = obj.kind; + } + + if (context) { + return context.processDict(result); + } + + return result; + } + + /** + * Convert the StreamChunk instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the StreamChunk instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a StreamChunk instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded StreamChunk instance. + */ + static fromJson(json: string, context?: LoadContext): StreamChunk { + const data = JSON.parse(json); + + return StreamChunk.load(data as Record, context); + } + + /** + * Load a StreamChunk instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded StreamChunk instance. + */ + static fromYaml(yaml: string, context?: LoadContext): StreamChunk { + const { parse } = require("yaml"); + const data = parse(yaml); + + return StreamChunk.load(data as Record, context); + } + + //#endregion +} + +/** + * A text content chunk from the LLM response stream. + * + */ +export class TextChunk extends StreamChunk { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The kind identifier for text chunks + */ + kind: string = "text"; + + /** + * The text content of the chunk + */ + value: string = ""; + + /** + * Initializes a new instance of TextChunk. + */ + constructor(init?: Partial) { + super(init); + + this.kind = init?.kind ?? "text"; + + this.value = init?.value ?? ""; + } + + //#region Load Methods + + /** + * Load a TextChunk instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded TextChunk instance. + */ + static load(data: Record, context?: LoadContext): TextChunk { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new TextChunk(); + + if (data["kind"] !== undefined && data["kind"] !== null) { + instance.kind = String(data["kind"]); + } + + if (data["value"] !== undefined && data["value"] !== null) { + instance.value = String(data["value"]); + } + + if (context) { + return context.processOutput(instance) as TextChunk; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the TextChunk instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as TextChunk) : this; + + // Start with parent class properties + const result = super.save(context); + + if (obj.kind !== undefined && obj.kind !== null) { + result["kind"] = obj.kind; + } + + if (obj.value !== undefined && obj.value !== null) { + result["value"] = obj.value; + } + + return result; + } + + /** + * Convert the TextChunk instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the TextChunk instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a TextChunk instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded TextChunk instance. + */ + static fromJson(json: string, context?: LoadContext): TextChunk { + const data = JSON.parse(json); + + return TextChunk.load(data as Record, context); + } + + /** + * Load a TextChunk instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded TextChunk instance. + */ + static fromYaml(yaml: string, context?: LoadContext): TextChunk { + const { parse } = require("yaml"); + const data = parse(yaml); + + return TextChunk.load(data as Record, context); + } + + //#endregion +} + +/** + * A thinking/reasoning content chunk from the LLM response stream. + * + */ +export class ThinkingChunk extends StreamChunk { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The kind identifier for thinking chunks + */ + kind: string = "thinking"; + + /** + * The thinking content of the chunk + */ + value: string = ""; + + /** + * Initializes a new instance of ThinkingChunk. + */ + constructor(init?: Partial) { + super(init); + + this.kind = init?.kind ?? "thinking"; + + this.value = init?.value ?? ""; + } + + //#region Load Methods + + /** + * Load a ThinkingChunk instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ThinkingChunk instance. + */ + static load( + data: Record, + context?: LoadContext, + ): ThinkingChunk { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new ThinkingChunk(); + + if (data["kind"] !== undefined && data["kind"] !== null) { + instance.kind = String(data["kind"]); + } + + if (data["value"] !== undefined && data["value"] !== null) { + instance.value = String(data["value"]); + } + + if (context) { + return context.processOutput(instance) as ThinkingChunk; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the ThinkingChunk instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as ThinkingChunk) : this; + + // Start with parent class properties + const result = super.save(context); + + if (obj.kind !== undefined && obj.kind !== null) { + result["kind"] = obj.kind; + } + + if (obj.value !== undefined && obj.value !== null) { + result["value"] = obj.value; + } + + return result; + } + + /** + * Convert the ThinkingChunk instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the ThinkingChunk instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a ThinkingChunk instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ThinkingChunk instance. + */ + static fromJson(json: string, context?: LoadContext): ThinkingChunk { + const data = JSON.parse(json); + + return ThinkingChunk.load(data as Record, context); + } + + /** + * Load a ThinkingChunk instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ThinkingChunk instance. + */ + static fromYaml(yaml: string, context?: LoadContext): ThinkingChunk { + const { parse } = require("yaml"); + const data = parse(yaml); + + return ThinkingChunk.load(data as Record, context); + } + + //#endregion +} + +/** + * A tool call chunk from the LLM response stream. + * + */ +export class ToolChunk extends StreamChunk { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The kind identifier for tool chunks + */ + kind: string = "tool"; + + /** + * The tool call data + */ + toolCall: ToolCall; + + /** + * Initializes a new instance of ToolChunk. + */ + constructor(init?: Partial) { + super(init); + + this.kind = init?.kind ?? "tool"; + + this.toolCall = init?.toolCall ?? undefined!; + } + + //#region Load Methods + + /** + * Load a ToolChunk instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ToolChunk instance. + */ + static load(data: Record, context?: LoadContext): ToolChunk { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new ToolChunk(); + + if (data["kind"] !== undefined && data["kind"] !== null) { + instance.kind = String(data["kind"]); + } + + if (data["toolCall"] !== undefined && data["toolCall"] !== null) { + instance.toolCall = ToolCall.load( + data["toolCall"] as Record, + context, + ); + } + + if (context) { + return context.processOutput(instance) as ToolChunk; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the ToolChunk instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as ToolChunk) : this; + + // Start with parent class properties + const result = super.save(context); + + if (obj.kind !== undefined && obj.kind !== null) { + result["kind"] = obj.kind; + } + + if (obj.toolCall !== undefined && obj.toolCall !== null) { + result["toolCall"] = obj.toolCall?.save(context); + } + + return result; + } + + /** + * Convert the ToolChunk instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the ToolChunk instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a ToolChunk instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ToolChunk instance. + */ + static fromJson(json: string, context?: LoadContext): ToolChunk { + const data = JSON.parse(json); + + return ToolChunk.load(data as Record, context); + } + + /** + * Load a ToolChunk instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ToolChunk instance. + */ + static fromYaml(yaml: string, context?: LoadContext): ToolChunk { + const { parse } = require("yaml"); + const data = parse(yaml); + + return ToolChunk.load(data as Record, context); + } + + //#endregion +} + +/** + * An error chunk from the LLM response stream. + * + */ +export class ErrorChunk extends StreamChunk { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The kind identifier for error chunks + */ + kind: string = "error"; + + /** + * The error message + */ + message: string = ""; + + /** + * Initializes a new instance of ErrorChunk. + */ + constructor(init?: Partial) { + super(init); + + this.kind = init?.kind ?? "error"; + + this.message = init?.message ?? ""; + } + + //#region Load Methods + + /** + * Load a ErrorChunk instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ErrorChunk instance. + */ + static load( + data: Record, + context?: LoadContext, + ): ErrorChunk { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new ErrorChunk(); + + if (data["kind"] !== undefined && data["kind"] !== null) { + instance.kind = String(data["kind"]); + } + + if (data["message"] !== undefined && data["message"] !== null) { + instance.message = String(data["message"]); + } + + if (context) { + return context.processOutput(instance) as ErrorChunk; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the ErrorChunk instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as ErrorChunk) : this; + + // Start with parent class properties + const result = super.save(context); + + if (obj.kind !== undefined && obj.kind !== null) { + result["kind"] = obj.kind; + } + + if (obj.message !== undefined && obj.message !== null) { + result["message"] = obj.message; + } + + return result; + } + + /** + * Convert the ErrorChunk instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the ErrorChunk instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a ErrorChunk instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ErrorChunk instance. + */ + static fromJson(json: string, context?: LoadContext): ErrorChunk { + const data = JSON.parse(json); + + return ErrorChunk.load(data as Record, context); + } + + /** + * Load a ErrorChunk instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ErrorChunk instance. + */ + static fromYaml(yaml: string, context?: LoadContext): ErrorChunk { + const { parse } = require("yaml"); + const data = parse(yaml); + + return ErrorChunk.load(data as Record, context); + } + + //#endregion +} diff --git a/runtime/typescript/packages/core/src/model/tool-call.ts b/runtime/typescript/packages/core/src/model/tool-call.ts new file mode 100644 index 00000000..6b064a4b --- /dev/null +++ b/runtime/typescript/packages/core/src/model/tool-call.ts @@ -0,0 +1,157 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { LoadContext, SaveContext } from "./context"; + +/** + * A tool call requested by the LLM. Contains the function name and serialized + * arguments that should be dispatched to the appropriate tool handler. + * + */ +export class ToolCall { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The unique identifier of the tool call + */ + id: string = ""; + + /** + * The name of the tool to call + */ + name: string = ""; + + /** + * The serialized JSON arguments for the tool call + */ + arguments: string = ""; + + /** + * Initializes a new instance of ToolCall. + */ + constructor(init?: Partial) { + this.id = init?.id ?? ""; + + this.name = init?.name ?? ""; + + this.arguments = init?.arguments ?? ""; + } + + //#region Load Methods + + /** + * Load a ToolCall instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ToolCall instance. + */ + static load(data: Record, context?: LoadContext): ToolCall { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new ToolCall(); + + if (data["id"] !== undefined && data["id"] !== null) { + instance.id = String(data["id"]); + } + + if (data["name"] !== undefined && data["name"] !== null) { + instance.name = String(data["name"]); + } + + if (data["arguments"] !== undefined && data["arguments"] !== null) { + instance.arguments = String(data["arguments"]); + } + + if (context) { + return context.processOutput(instance) as ToolCall; + } + return instance; + } + + //#endregion + + //#region Save Methods + + /** + * Save the ToolCall instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as ToolCall) : this; + + const result: Record = {}; + + if (obj.id !== undefined && obj.id !== null) { + result["id"] = obj.id; + } + + if (obj.name !== undefined && obj.name !== null) { + result["name"] = obj.name; + } + + if (obj.arguments !== undefined && obj.arguments !== null) { + result["arguments"] = obj.arguments; + } + + if (context) { + return context.processDict(result); + } + + return result; + } + + /** + * Convert the ToolCall instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the ToolCall instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a ToolCall instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ToolCall instance. + */ + static fromJson(json: string, context?: LoadContext): ToolCall { + const data = JSON.parse(json); + + return ToolCall.load(data as Record, context); + } + + /** + * Load a ToolCall instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ToolCall instance. + */ + static fromYaml(yaml: string, context?: LoadContext): ToolCall { + const { parse } = require("yaml"); + const data = parse(yaml); + + return ToolCall.load(data as Record, context); + } + + //#endregion +} diff --git a/runtime/typescript/packages/core/src/model/tool-result.ts b/runtime/typescript/packages/core/src/model/tool-result.ts new file mode 100644 index 00000000..65129240 --- /dev/null +++ b/runtime/typescript/packages/core/src/model/tool-result.ts @@ -0,0 +1,200 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { LoadContext, SaveContext } from "./context"; +import { ContentPart } from "./content-part"; + +/** + * The result of a tool execution. Contains a list of content parts, enabling + * rich tool results (text, images, files, audio) rather than just strings. + * + * Implementations MUST support conversion from a plain string to a ToolResult + * containing a single TextPart for backward compatibility. + * + */ +export class ToolResult { + /** + * The shorthand property name for this type, if any. + */ + static readonly shorthandProperty: string | undefined = undefined; + + /** + * The content parts of the tool result + */ + parts: ContentPart[] = []; + + /** + * Initializes a new instance of ToolResult. + */ + constructor(init?: Partial) { + this.parts = init?.parts ?? []; + } + + //#region Load Methods + + /** + * Load a ToolResult instance from a dictionary. + * @param data - The dictionary containing the data. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ToolResult instance. + */ + static load( + data: Record, + context?: LoadContext, + ): ToolResult { + if (context) { + data = context.processInput(data); + } + + // Create new instance + const instance = new ToolResult(); + + if (data["parts"] !== undefined && data["parts"] !== null) { + instance.parts = ToolResult.loadParts(data["parts"], context); + } + + if (context) { + return context.processOutput(instance) as ToolResult; + } + return instance; + } + + /** + * Load a collection of ContentPart from a dictionary or array. + * @param data - The data to load from. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded array of ContentPart. + */ + static loadParts(data: unknown, context?: LoadContext): ContentPart[] { + const result: ContentPart[] = []; + + if (data && typeof data === "object" && !Array.isArray(data)) { + // Convert named dictionary to array + for (const [key, value] of Object.entries( + data as Record, + )) { + if (Array.isArray(value)) { + throw new Error( + `Invalid 'parts' format: key '${key}' has an array value. ` + + `'parts' must be a flat list of objects or a name-keyed dict — ` + + `not a nested { ${key}: [...] } structure.`, + ); + } + if (value && typeof value === "object") { + // Value is an object, add name to it + (value as Record)["name"] = key; + result.push( + ContentPart.load(value as Record, context), + ); + } else { + // Value is a scalar — let ContentPart.load() infer kind from value + const prop = ContentPart.load( + value as Record, + context, + ); + prop.name = key; + result.push(prop); + } + } + } else if (Array.isArray(data)) { + for (const item of data) { + if (item && typeof item === "object") { + result.push( + ContentPart.load(item as Record, context), + ); + } + } + } + + return result; + } + + //#endregion + + //#region Save Methods + + /** + * Save the ToolResult instance to a dictionary. + * @param context - Optional context with pre/post processing callbacks. + * @returns The dictionary representation of this instance. + */ + save(context?: SaveContext): Record { + const obj = context ? (context.processObject(this) as ToolResult) : this; + + const result: Record = {}; + + if (obj.parts !== undefined && obj.parts !== null) { + result["parts"] = ToolResult.saveParts(obj.parts, context); + } + + if (context) { + return context.processDict(result); + } + + return result; + } + + /** + * Save a collection of ContentPart to object or array format. + * @param items - The items to save. + * @param context - Optional context with pre/post processing callbacks. + * @returns The saved collection in object or array format. + */ + static saveParts( + items: ContentPart[], + context?: SaveContext, + ): Record | Record[] { + context = context ?? new SaveContext(); + + // This type doesn't have a 'name' property, so always use array format + return items.map((item) => item.save(context)); + } + + /** + * Convert the ToolResult instance to a YAML string. + * @param context - Optional context with pre/post processing callbacks. + * @returns The YAML string representation of this instance. + */ + toYaml(context?: SaveContext): string { + context = context ?? new SaveContext(); + return context.toYaml(this.save(context)); + } + + /** + * Convert the ToolResult instance to a JSON string. + * @param context - Optional context with pre/post processing callbacks. + * @param indent - Number of spaces for indentation. Defaults to 2. + * @returns The JSON string representation of this instance. + */ + toJson(context?: SaveContext, indent: number = 2): string { + context = context ?? new SaveContext(); + return context.toJson(this.save(context), indent); + } + + /** + * Load a ToolResult instance from a JSON string. + * @param json - The JSON string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ToolResult instance. + */ + static fromJson(json: string, context?: LoadContext): ToolResult { + const data = JSON.parse(json); + + return ToolResult.load(data as Record, context); + } + + /** + * Load a ToolResult instance from a YAML string. + * @param yaml - The YAML string to parse. + * @param context - Optional context with pre/post processing callbacks. + * @returns The loaded ToolResult instance. + */ + static fromYaml(yaml: string, context?: LoadContext): ToolResult { + const { parse } = require("yaml"); + const data = parse(yaml); + + return ToolResult.load(data as Record, context); + } + + //#endregion +} diff --git a/runtime/typescript/packages/core/src/model/tool.ts b/runtime/typescript/packages/core/src/model/tool.ts index 6c42b658..8ed5de02 100644 --- a/runtime/typescript/packages/core/src/model/tool.ts +++ b/runtime/typescript/packages/core/src/model/tool.ts @@ -1047,8 +1047,11 @@ export class OpenApiTool extends Tool { /** * A tool that references another .prompty file to be invoked as a tool. * - * In `single` mode, the child prompty is executed with a single LLM call. - * In `agentic` mode, the child prompty runs a full agent loop with its own tools. + * PromptyTool is always single-shot — the child prompty is loaded, rendered, + * and executed with a single LLM call (invoke). It does NOT run an agent loop. + * + * Applications that need agentic sub-agent delegation should register + * `kind: function` tools that internally call `turn()` with their own TurnOptions. * */ export class PromptyTool extends Tool { @@ -1067,11 +1070,6 @@ export class PromptyTool extends Tool { */ path: string = ""; - /** - * Execution mode: 'single' for one LLM call, 'agentic' for full agent loop - */ - mode: string = "single"; - /** * Initializes a new instance of PromptyTool. */ @@ -1081,8 +1079,6 @@ export class PromptyTool extends Tool { this.kind = init?.kind ?? "prompty"; this.path = init?.path ?? ""; - - this.mode = init?.mode ?? "single"; } //#region Load Methods @@ -1112,10 +1108,6 @@ export class PromptyTool extends Tool { instance.path = String(data["path"]); } - if (data["mode"] !== undefined && data["mode"] !== null) { - instance.mode = String(data["mode"]); - } - if (context) { return context.processOutput(instance) as PromptyTool; } @@ -1145,10 +1137,6 @@ export class PromptyTool extends Tool { result["path"] = obj.path; } - if (obj.mode !== undefined && obj.mode !== null) { - result["mode"] = obj.mode; - } - return result; } diff --git a/runtime/typescript/packages/core/tests/model/audio-part.test.ts b/runtime/typescript/packages/core/tests/model/audio-part.test.ts new file mode 100644 index 00000000..d4e24384 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/audio-part.test.ts @@ -0,0 +1,79 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { AudioPart } from "../../src/model/index"; + +describe("AudioPart", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new AudioPart(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new AudioPart({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "source": "https://example.com/audio.wav",\n "mediaType": "audio/wav"\n}`; + const instance = AudioPart.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.source).toEqual("https://example.com/audio.wav"); + + expect(instance.mediaType).toEqual("audio/wav"); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "source": "https://example.com/audio.wav",\n "mediaType": "audio/wav"\n}`; + const instance = AudioPart.fromJson(json); + const output = instance.toJson(); + const reloaded = AudioPart.fromJson(output); + + expect(reloaded.source).toEqual(instance.source); + + expect(reloaded.mediaType).toEqual(instance.mediaType); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `source: "https://example.com/audio.wav"\nmediaType: audio/wav\n`; + const instance = AudioPart.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.source).toEqual("https://example.com/audio.wav"); + + expect(instance.mediaType).toEqual("audio/wav"); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `source: "https://example.com/audio.wav"\nmediaType: audio/wav\n`; + const instance = AudioPart.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = AudioPart.fromYaml(output); + + expect(reloaded.source).toEqual(instance.source); + + expect(reloaded.mediaType).toEqual(instance.mediaType); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = AudioPart.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new AudioPart(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/content-part.test.ts b/runtime/typescript/packages/core/tests/model/content-part.test.ts new file mode 100644 index 00000000..b2dec9c3 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/content-part.test.ts @@ -0,0 +1,18 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { ContentPart } from "../../src/model/index"; + +describe("ContentPart", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new ContentPart(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new ContentPart({}); + expect(instance).toBeDefined(); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/error-chunk.test.ts b/runtime/typescript/packages/core/tests/model/error-chunk.test.ts new file mode 100644 index 00000000..d833b005 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/error-chunk.test.ts @@ -0,0 +1,71 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { ErrorChunk } from "../../src/model/index"; + +describe("ErrorChunk", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new ErrorChunk(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new ErrorChunk({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "message": "Rate limit exceeded"\n}`; + const instance = ErrorChunk.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.message).toEqual("Rate limit exceeded"); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "message": "Rate limit exceeded"\n}`; + const instance = ErrorChunk.fromJson(json); + const output = instance.toJson(); + const reloaded = ErrorChunk.fromJson(output); + + expect(reloaded.message).toEqual(instance.message); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `message: Rate limit exceeded\n`; + const instance = ErrorChunk.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.message).toEqual("Rate limit exceeded"); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `message: Rate limit exceeded\n`; + const instance = ErrorChunk.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = ErrorChunk.fromYaml(output); + + expect(reloaded.message).toEqual(instance.message); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = ErrorChunk.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new ErrorChunk(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/file-part.test.ts b/runtime/typescript/packages/core/tests/model/file-part.test.ts new file mode 100644 index 00000000..201c4d4c --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/file-part.test.ts @@ -0,0 +1,79 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { FilePart } from "../../src/model/index"; + +describe("FilePart", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new FilePart(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new FilePart({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "source": "https://example.com/document.pdf",\n "mediaType": "application/pdf"\n}`; + const instance = FilePart.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.source).toEqual("https://example.com/document.pdf"); + + expect(instance.mediaType).toEqual("application/pdf"); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "source": "https://example.com/document.pdf",\n "mediaType": "application/pdf"\n}`; + const instance = FilePart.fromJson(json); + const output = instance.toJson(); + const reloaded = FilePart.fromJson(output); + + expect(reloaded.source).toEqual(instance.source); + + expect(reloaded.mediaType).toEqual(instance.mediaType); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `source: "https://example.com/document.pdf"\nmediaType: application/pdf\n`; + const instance = FilePart.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.source).toEqual("https://example.com/document.pdf"); + + expect(instance.mediaType).toEqual("application/pdf"); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `source: "https://example.com/document.pdf"\nmediaType: application/pdf\n`; + const instance = FilePart.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = FilePart.fromYaml(output); + + expect(reloaded.source).toEqual(instance.source); + + expect(reloaded.mediaType).toEqual(instance.mediaType); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = FilePart.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new FilePart(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/guardrail-result.test.ts b/runtime/typescript/packages/core/tests/model/guardrail-result.test.ts new file mode 100644 index 00000000..da3198ae --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/guardrail-result.test.ts @@ -0,0 +1,79 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { GuardrailResult } from "../../src/model/index"; + +describe("GuardrailResult", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new GuardrailResult(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new GuardrailResult({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "allowed": true,\n "reason": "Content is safe"\n}`; + const instance = GuardrailResult.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.allowed).toEqual(true); + + expect(instance.reason).toEqual("Content is safe"); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "allowed": true,\n "reason": "Content is safe"\n}`; + const instance = GuardrailResult.fromJson(json); + const output = instance.toJson(); + const reloaded = GuardrailResult.fromJson(output); + + expect(reloaded.allowed).toEqual(instance.allowed); + + expect(reloaded.reason).toEqual(instance.reason); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `allowed: true\nreason: Content is safe\n`; + const instance = GuardrailResult.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.allowed).toEqual(true); + + expect(instance.reason).toEqual("Content is safe"); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `allowed: true\nreason: Content is safe\n`; + const instance = GuardrailResult.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = GuardrailResult.fromYaml(output); + + expect(reloaded.allowed).toEqual(instance.allowed); + + expect(reloaded.reason).toEqual(instance.reason); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = GuardrailResult.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new GuardrailResult(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/image-part.test.ts b/runtime/typescript/packages/core/tests/model/image-part.test.ts new file mode 100644 index 00000000..2cb442b3 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/image-part.test.ts @@ -0,0 +1,87 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { ImagePart } from "../../src/model/index"; + +describe("ImagePart", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new ImagePart(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new ImagePart({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "source": "https://example.com/image.png",\n "detail": "auto",\n "mediaType": "image/png"\n}`; + const instance = ImagePart.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.source).toEqual("https://example.com/image.png"); + + expect(instance.detail).toEqual("auto"); + + expect(instance.mediaType).toEqual("image/png"); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "source": "https://example.com/image.png",\n "detail": "auto",\n "mediaType": "image/png"\n}`; + const instance = ImagePart.fromJson(json); + const output = instance.toJson(); + const reloaded = ImagePart.fromJson(output); + + expect(reloaded.source).toEqual(instance.source); + + expect(reloaded.detail).toEqual(instance.detail); + + expect(reloaded.mediaType).toEqual(instance.mediaType); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `source: "https://example.com/image.png"\ndetail: auto\nmediaType: image/png\n`; + const instance = ImagePart.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.source).toEqual("https://example.com/image.png"); + + expect(instance.detail).toEqual("auto"); + + expect(instance.mediaType).toEqual("image/png"); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `source: "https://example.com/image.png"\ndetail: auto\nmediaType: image/png\n`; + const instance = ImagePart.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = ImagePart.fromYaml(output); + + expect(reloaded.source).toEqual(instance.source); + + expect(reloaded.detail).toEqual(instance.detail); + + expect(reloaded.mediaType).toEqual(instance.mediaType); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = ImagePart.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new ImagePart(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/message.test.ts b/runtime/typescript/packages/core/tests/model/message.test.ts new file mode 100644 index 00000000..05417027 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/message.test.ts @@ -0,0 +1,71 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { Message } from "../../src/model/index"; + +describe("Message", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new Message(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new Message({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "role": "user",\n "parts": [\n {\n "kind": "text",\n "value": "Hello!"\n }\n ],\n "metadata": {\n "source": "user-input"\n }\n}`; + const instance = Message.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.role).toEqual("user"); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "role": "user",\n "parts": [\n {\n "kind": "text",\n "value": "Hello!"\n }\n ],\n "metadata": {\n "source": "user-input"\n }\n}`; + const instance = Message.fromJson(json); + const output = instance.toJson(); + const reloaded = Message.fromJson(output); + + expect(reloaded.role).toEqual(instance.role); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `role: user\nparts:\n - kind: text\n value: Hello!\nmetadata:\n source: user-input\n`; + const instance = Message.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.role).toEqual("user"); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `role: user\nparts:\n - kind: text\n value: Hello!\nmetadata:\n source: user-input\n`; + const instance = Message.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = Message.fromYaml(output); + + expect(reloaded.role).toEqual(instance.role); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = Message.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new Message(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/model-info.test.ts b/runtime/typescript/packages/core/tests/model/model-info.test.ts new file mode 100644 index 00000000..0f6c58b3 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/model-info.test.ts @@ -0,0 +1,95 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { ModelInfo } from "../../src/model/index"; + +describe("ModelInfo", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new ModelInfo(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new ModelInfo({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "id": "gpt-4o",\n "displayName": "GPT-4o",\n "ownedBy": "openai",\n "contextWindow": 128000,\n "inputModalities": [\n "text",\n "image"\n ],\n "outputModalities": [\n "text"\n ],\n "additionalProperties": {\n "supportsStreaming": true\n }\n}`; + const instance = ModelInfo.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.id).toEqual("gpt-4o"); + + expect(instance.displayName).toEqual("GPT-4o"); + + expect(instance.ownedBy).toEqual("openai"); + + expect(instance.contextWindow).toEqual(128000); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "id": "gpt-4o",\n "displayName": "GPT-4o",\n "ownedBy": "openai",\n "contextWindow": 128000,\n "inputModalities": [\n "text",\n "image"\n ],\n "outputModalities": [\n "text"\n ],\n "additionalProperties": {\n "supportsStreaming": true\n }\n}`; + const instance = ModelInfo.fromJson(json); + const output = instance.toJson(); + const reloaded = ModelInfo.fromJson(output); + + expect(reloaded.id).toEqual(instance.id); + + expect(reloaded.displayName).toEqual(instance.displayName); + + expect(reloaded.ownedBy).toEqual(instance.ownedBy); + + expect(reloaded.contextWindow).toEqual(instance.contextWindow); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `id: gpt-4o\ndisplayName: GPT-4o\nownedBy: openai\ncontextWindow: 128000\ninputModalities:\n - text\n - image\noutputModalities:\n - text\nadditionalProperties:\n supportsStreaming: true\n`; + const instance = ModelInfo.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.id).toEqual("gpt-4o"); + + expect(instance.displayName).toEqual("GPT-4o"); + + expect(instance.ownedBy).toEqual("openai"); + + expect(instance.contextWindow).toEqual(128000); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `id: gpt-4o\ndisplayName: GPT-4o\nownedBy: openai\ncontextWindow: 128000\ninputModalities:\n - text\n - image\noutputModalities:\n - text\nadditionalProperties:\n supportsStreaming: true\n`; + const instance = ModelInfo.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = ModelInfo.fromYaml(output); + + expect(reloaded.id).toEqual(instance.id); + + expect(reloaded.displayName).toEqual(instance.displayName); + + expect(reloaded.ownedBy).toEqual(instance.ownedBy); + + expect(reloaded.contextWindow).toEqual(instance.contextWindow); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = ModelInfo.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new ModelInfo(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/prompty-tool.test.ts b/runtime/typescript/packages/core/tests/model/prompty-tool.test.ts index 70b90509..caf9b068 100644 --- a/runtime/typescript/packages/core/tests/model/prompty-tool.test.ts +++ b/runtime/typescript/packages/core/tests/model/prompty-tool.test.ts @@ -18,19 +18,17 @@ describe("PromptyTool", () => { describe("JSON serialization", () => { it("should load from JSON - example 1", () => { - const json = `{\n "kind": "prompty",\n "path": "./summarize.prompty",\n "mode": "single"\n}`; + const json = `{\n "kind": "prompty",\n "path": "./summarize.prompty"\n}`; const instance = PromptyTool.fromJson(json); expect(instance).toBeDefined(); expect(instance.kind).toEqual("prompty"); expect(instance.path).toEqual("./summarize.prompty"); - - expect(instance.mode).toEqual("single"); }); it("should round-trip JSON - example 1", () => { - const json = `{\n "kind": "prompty",\n "path": "./summarize.prompty",\n "mode": "single"\n}`; + const json = `{\n "kind": "prompty",\n "path": "./summarize.prompty"\n}`; const instance = PromptyTool.fromJson(json); const output = instance.toJson(); const reloaded = PromptyTool.fromJson(output); @@ -38,26 +36,22 @@ describe("PromptyTool", () => { expect(reloaded.kind).toEqual(instance.kind); expect(reloaded.path).toEqual(instance.path); - - expect(reloaded.mode).toEqual(instance.mode); }); }); describe("YAML serialization", () => { it("should load from YAML - example 1", () => { - const yaml = `kind: prompty\npath: ./summarize.prompty\nmode: single\n`; + const yaml = `kind: prompty\npath: ./summarize.prompty\n`; const instance = PromptyTool.fromYaml(yaml); expect(instance).toBeDefined(); expect(instance.kind).toEqual("prompty"); expect(instance.path).toEqual("./summarize.prompty"); - - expect(instance.mode).toEqual("single"); }); it("should round-trip YAML - example 1", () => { - const yaml = `kind: prompty\npath: ./summarize.prompty\nmode: single\n`; + const yaml = `kind: prompty\npath: ./summarize.prompty\n`; const instance = PromptyTool.fromYaml(yaml); const output = instance.toYaml(); const reloaded = PromptyTool.fromYaml(output); @@ -65,8 +59,6 @@ describe("PromptyTool", () => { expect(reloaded.kind).toEqual(instance.kind); expect(reloaded.path).toEqual(instance.path); - - expect(reloaded.mode).toEqual(instance.mode); }); }); diff --git a/runtime/typescript/packages/core/tests/model/stream-chunk.test.ts b/runtime/typescript/packages/core/tests/model/stream-chunk.test.ts new file mode 100644 index 00000000..77601e1a --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/stream-chunk.test.ts @@ -0,0 +1,18 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { StreamChunk } from "../../src/model/index"; + +describe("StreamChunk", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new StreamChunk(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new StreamChunk({}); + expect(instance).toBeDefined(); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/text-chunk.test.ts b/runtime/typescript/packages/core/tests/model/text-chunk.test.ts new file mode 100644 index 00000000..a1aea42d --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/text-chunk.test.ts @@ -0,0 +1,71 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { TextChunk } from "../../src/model/index"; + +describe("TextChunk", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new TextChunk(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new TextChunk({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "value": "Hello"\n}`; + const instance = TextChunk.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.value).toEqual("Hello"); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "value": "Hello"\n}`; + const instance = TextChunk.fromJson(json); + const output = instance.toJson(); + const reloaded = TextChunk.fromJson(output); + + expect(reloaded.value).toEqual(instance.value); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `value: Hello\n`; + const instance = TextChunk.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.value).toEqual("Hello"); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `value: Hello\n`; + const instance = TextChunk.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = TextChunk.fromYaml(output); + + expect(reloaded.value).toEqual(instance.value); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = TextChunk.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new TextChunk(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/text-part.test.ts b/runtime/typescript/packages/core/tests/model/text-part.test.ts new file mode 100644 index 00000000..56638a89 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/text-part.test.ts @@ -0,0 +1,71 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { TextPart } from "../../src/model/index"; + +describe("TextPart", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new TextPart(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new TextPart({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "value": "Hello, world!"\n}`; + const instance = TextPart.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.value).toEqual("Hello, world!"); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "value": "Hello, world!"\n}`; + const instance = TextPart.fromJson(json); + const output = instance.toJson(); + const reloaded = TextPart.fromJson(output); + + expect(reloaded.value).toEqual(instance.value); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `value: Hello, world!\n`; + const instance = TextPart.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.value).toEqual("Hello, world!"); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `value: Hello, world!\n`; + const instance = TextPart.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = TextPart.fromYaml(output); + + expect(reloaded.value).toEqual(instance.value); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = TextPart.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new TextPart(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/thinking-chunk.test.ts b/runtime/typescript/packages/core/tests/model/thinking-chunk.test.ts new file mode 100644 index 00000000..dcf8f946 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/thinking-chunk.test.ts @@ -0,0 +1,71 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { ThinkingChunk } from "../../src/model/index"; + +describe("ThinkingChunk", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new ThinkingChunk(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new ThinkingChunk({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "value": "Let me consider..."\n}`; + const instance = ThinkingChunk.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.value).toEqual("Let me consider..."); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "value": "Let me consider..."\n}`; + const instance = ThinkingChunk.fromJson(json); + const output = instance.toJson(); + const reloaded = ThinkingChunk.fromJson(output); + + expect(reloaded.value).toEqual(instance.value); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `value: Let me consider...\n`; + const instance = ThinkingChunk.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.value).toEqual("Let me consider..."); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `value: Let me consider...\n`; + const instance = ThinkingChunk.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = ThinkingChunk.fromYaml(output); + + expect(reloaded.value).toEqual(instance.value); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = ThinkingChunk.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new ThinkingChunk(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/tool-call.test.ts b/runtime/typescript/packages/core/tests/model/tool-call.test.ts new file mode 100644 index 00000000..75e57770 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/tool-call.test.ts @@ -0,0 +1,87 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { ToolCall } from "../../src/model/index"; + +describe("ToolCall", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new ToolCall(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new ToolCall({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "id": "call_abc123",\n "name": "get_weather",\n "arguments": "{\\"city\\": \\"Paris\\"}"\n}`; + const instance = ToolCall.fromJson(json); + expect(instance).toBeDefined(); + + expect(instance.id).toEqual("call_abc123"); + + expect(instance.name).toEqual("get_weather"); + + expect(instance.arguments).toEqual('{"city": "Paris"}'); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "id": "call_abc123",\n "name": "get_weather",\n "arguments": "{\\"city\\": \\"Paris\\"}"\n}`; + const instance = ToolCall.fromJson(json); + const output = instance.toJson(); + const reloaded = ToolCall.fromJson(output); + + expect(reloaded.id).toEqual(instance.id); + + expect(reloaded.name).toEqual(instance.name); + + expect(reloaded.arguments).toEqual(instance.arguments); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `id: call_abc123\nname: get_weather\narguments: "{\\"city\\": \\"Paris\\"}"\n`; + const instance = ToolCall.fromYaml(yaml); + expect(instance).toBeDefined(); + + expect(instance.id).toEqual("call_abc123"); + + expect(instance.name).toEqual("get_weather"); + + expect(instance.arguments).toEqual('{"city": "Paris"}'); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `id: call_abc123\nname: get_weather\narguments: "{\\"city\\": \\"Paris\\"}"\n`; + const instance = ToolCall.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = ToolCall.fromYaml(output); + + expect(reloaded.id).toEqual(instance.id); + + expect(reloaded.name).toEqual(instance.name); + + expect(reloaded.arguments).toEqual(instance.arguments); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = ToolCall.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new ToolCall(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/tool-chunk.test.ts b/runtime/typescript/packages/core/tests/model/tool-chunk.test.ts new file mode 100644 index 00000000..51b8c939 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/tool-chunk.test.ts @@ -0,0 +1,63 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { ToolChunk } from "../../src/model/index"; + +describe("ToolChunk", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new ToolChunk(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new ToolChunk({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "toolCall": {\n "id": "call_abc123",\n "name": "get_weather",\n "arguments": "{\\"city\\": \\"Paris\\"}"\n }\n}`; + const instance = ToolChunk.fromJson(json); + expect(instance).toBeDefined(); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "toolCall": {\n "id": "call_abc123",\n "name": "get_weather",\n "arguments": "{\\"city\\": \\"Paris\\"}"\n }\n}`; + const instance = ToolChunk.fromJson(json); + const output = instance.toJson(); + const reloaded = ToolChunk.fromJson(output); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `toolCall:\n id: call_abc123\n name: get_weather\n arguments: "{\\"city\\": \\"Paris\\"}"\n`; + const instance = ToolChunk.fromYaml(yaml); + expect(instance).toBeDefined(); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `toolCall:\n id: call_abc123\n name: get_weather\n arguments: "{\\"city\\": \\"Paris\\"}"\n`; + const instance = ToolChunk.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = ToolChunk.fromYaml(output); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = ToolChunk.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new ToolChunk(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/runtime/typescript/packages/core/tests/model/tool-result.test.ts b/runtime/typescript/packages/core/tests/model/tool-result.test.ts new file mode 100644 index 00000000..59131fb3 --- /dev/null +++ b/runtime/typescript/packages/core/tests/model/tool-result.test.ts @@ -0,0 +1,63 @@ +// Copyright (c) Microsoft. All rights reserved. +// WARNING: This is an auto-generated file. DO NOT EDIT THIS FILE DIRECTLY. + +import { ToolResult } from "../../src/model/index"; + +describe("ToolResult", () => { + describe("construction", () => { + it("should create a new instance with defaults", () => { + const instance = new ToolResult(); + expect(instance).toBeDefined(); + }); + + it("should create a new instance with partial initialization", () => { + const instance = new ToolResult({}); + expect(instance).toBeDefined(); + }); + }); + + describe("JSON serialization", () => { + it("should load from JSON - example 1", () => { + const json = `{\n "parts": [\n {\n "kind": "text",\n "value": "72°F and sunny"\n }\n ]\n}`; + const instance = ToolResult.fromJson(json); + expect(instance).toBeDefined(); + }); + + it("should round-trip JSON - example 1", () => { + const json = `{\n "parts": [\n {\n "kind": "text",\n "value": "72°F and sunny"\n }\n ]\n}`; + const instance = ToolResult.fromJson(json); + const output = instance.toJson(); + const reloaded = ToolResult.fromJson(output); + }); + }); + + describe("YAML serialization", () => { + it("should load from YAML - example 1", () => { + const yaml = `parts:\n - kind: text\n value: 72°F and sunny\n`; + const instance = ToolResult.fromYaml(yaml); + expect(instance).toBeDefined(); + }); + + it("should round-trip YAML - example 1", () => { + const yaml = `parts:\n - kind: text\n value: 72°F and sunny\n`; + const instance = ToolResult.fromYaml(yaml); + const output = instance.toYaml(); + const reloaded = ToolResult.fromYaml(output); + }); + }); + + describe("load and save", () => { + it("should load from dictionary", () => { + const data: Record = {}; + const instance = ToolResult.load(data); + expect(instance).toBeDefined(); + }); + + it("should save to dictionary", () => { + const instance = new ToolResult(); + const data = instance.save(); + expect(data).toBeDefined(); + expect(typeof data).toBe("object"); + }); + }); +}); diff --git a/schema/emitter/src/emitter.ts b/schema/emitter/src/emitter.ts index 4acc2a51..ad91d8f0 100644 --- a/schema/emitter/src/emitter.ts +++ b/schema/emitter/src/emitter.ts @@ -6,7 +6,7 @@ const __filename = fileURLToPath(import.meta.url); const __dirname = dirname(__filename); import { EmitContext, emitFile, resolvePath } from "@typespec/compiler"; -import { resolveModel, TypeNode } from "./ast.js"; +import { resolveModel, TypeNode, enumerateTypes } from "./ast.js"; import { PromptyEmitterOptions, EmitTarget } from "./lib.js"; import { generateMarkdown } from "./markdown.js"; import { generatePython } from "./python.js"; @@ -18,6 +18,7 @@ import { generateRust } from "./rust.js"; // Generator options passed to each generator export interface GeneratorOptions { omitModels?: string[]; + additionalModels?: TypeNode[]; } /** @@ -26,6 +27,23 @@ export interface GeneratorOptions { */ export function filterNodes(nodes: TypeNode[], options?: GeneratorOptions): TypeNode[] { const omitModels = options?.omitModels || []; + + // Include additional root models and their type trees + const additionalModels = options?.additionalModels || []; + if (additionalModels.length > 0) { + const existingNames = new Set(nodes.map(n => `${n.typeName.namespace}.${n.typeName.name}`)); + const visited = new Set(existingNames); + for (const additionalModel of additionalModels) { + for (const subNode of enumerateTypes(additionalModel, new Set())) { + const fullName = `${subNode.typeName.namespace}.${subNode.typeName.name}`; + if (!visited.has(fullName)) { + nodes.push(subNode); + visited.add(fullName); + } + } + } + } + if (omitModels.length === 0) return nodes; return nodes.filter(node => { @@ -82,9 +100,52 @@ export async function $onEmit(context: EmitContext) { } } + // Resolve additional root types that are not reachable from the main root. + // These are standalone types (e.g., Message, ToolResult, ModelInfo) that + // should be generated alongside the main schema. + const additionalRoots = options["additional-roots"] || []; + const visited = new Set(); + // Collect names already in the main model tree to avoid duplicates + const collectNames = (node: TypeNode) => { + visited.add(`${node.typeName.namespace}.${node.typeName.name}`); + for (const child of node.childTypes) { + collectNames(child); + } + for (const prop of node.properties) { + if (prop.type) { + collectNames(prop.type); + for (const child of prop.type.childTypes) { + collectNames(child); + } + } + } + }; + collectNames(model); + + const additionalModels: TypeNode[] = []; + for (const rootName of additionalRoots) { + const fullName = `${rootName}`; + if (visited.has(fullName)) continue; + + const ref = context.program.resolveTypeReference(rootName); + if (!ref[0] || ref[0].kind !== "Model") { + console.warn(`Warning: additional-root '${rootName}' not found or is not a model type. Skipping.`); + continue; + } + + const additionalNode = resolveModel( + context.program, ref[0], new Set(), + options["root-namespace"] || "Prompty", + options["root-alias"] || "Prompty" + ); + additionalModels.push(additionalNode); + visited.add(`${additionalNode.typeName.namespace}.${additionalNode.typeName.name}`); + } + const targets = options["emit-targets"] || []; const generatorOptions: GeneratorOptions = { omitModels: options["omit-models"] || [], + additionalModels: additionalModels, }; // Dispatch to registered generators diff --git a/schema/emitter/src/lib.ts b/schema/emitter/src/lib.ts index eb9ae245..844a953e 100644 --- a/schema/emitter/src/lib.ts +++ b/schema/emitter/src/lib.ts @@ -16,6 +16,7 @@ export interface PromptyEmitterOptions { "root-alias"?: string; "omit-models"?: string[]; "schema-output-dir"?: string; + "additional-roots"?: string[]; } const PromptyEmitterOptionsSchema: JSONSchemaType = { @@ -90,6 +91,12 @@ const PromptyEmitterOptionsSchema: JSONSchemaType = { type: "string", nullable: true, description: "Directory containing JSON schema files. If set, omitted models will be deleted from this directory after generation." + }, + "additional-roots": { + type: "array", + items: { type: "string" }, + nullable: true, + description: "Additional root types to resolve and generate alongside the main root object. These types need not be referenced from the main root. Specified as fully-qualified names (e.g., 'Prompty.Message')." } }, required: ["root-object"], diff --git a/schema/model/discovery.tsp b/schema/model/discovery.tsp new file mode 100644 index 00000000..dd79a032 --- /dev/null +++ b/schema/model/discovery.tsp @@ -0,0 +1,41 @@ +import "agentschema-emitter"; + +namespace Prompty; + +/** + * Information about a model available from a provider. Used by provider-level + * model discovery to report which models are available and their capabilities. + * + * Not all providers return all fields — implementations SHOULD populate as + * many fields as the provider's API supports and MAY enrich sparse results + * from a built-in lookup table of known models. + */ +model ModelInfo { + @doc("The model identifier (e.g., 'gpt-4o', 'claude-3-opus')") + @sample(#{ id: "gpt-4o" }) + id: string; + + @doc("Human-readable display name") + @sample(#{ displayName: "GPT-4o" }) + displayName?: string; + + @doc("The organization or entity that owns the model") + @sample(#{ ownedBy: "openai" }) + ownedBy?: string; + + @doc("Maximum context window size in tokens") + @sample(#{ contextWindow: 128000 }) + contextWindow?: int32; + + @doc("Input modalities the model accepts (e.g., 'text', 'image', 'audio')") + @sample(#{ inputModalities: #["text", "image"] }) + inputModalities?: string[]; + + @doc("Output modalities the model can produce (e.g., 'text', 'audio')") + @sample(#{ outputModalities: #["text"] }) + outputModalities?: string[]; + + @doc("Additional provider-specific properties") + @sample(#{ additionalProperties: #{ supportsStreaming: true } }) + additionalProperties?: Record; +} diff --git a/schema/model/events.tsp b/schema/model/events.tsp new file mode 100644 index 00000000..5f97ef5f --- /dev/null +++ b/schema/model/events.tsp @@ -0,0 +1,93 @@ +import "agentschema-emitter"; +import "./message.tsp"; + +namespace Prompty; + +/** + * The type of event emitted during agent loop execution. Events enable + * real-time UIs, logging, and coordination without coupling the loop + * to any particular output mechanism. + */ +alias AgentEventType = + | "token" + | "thinking" + | "tool_call_start" + | "tool_result" + | "status" + | "messages_updated" + | "done" + | "error" + | "cancelled" + | "compaction_start" + | "compaction_complete" + | "compaction_failed"; + +/** + * The kind discriminator for stream chunks. + */ +alias StreamChunkType = "text" | "thinking" | "tool" | "error"; + +/** + * A chunk of data from a streaming LLM response. Stream chunks are + * discriminated on the `kind` field. + */ +@abstract +@discriminator("kind") +model StreamChunk { + @doc("The kind of stream chunk") + kind: StreamChunkType; +} + +/** + * A text content chunk from the LLM response stream. + */ +model TextChunk extends StreamChunk { + @doc("The kind identifier for text chunks") + kind: "text"; + + @doc("The text content of the chunk") + @sample(#{ value: "Hello" }) + value: string; +} + +/** + * A thinking/reasoning content chunk from the LLM response stream. + */ +model ThinkingChunk extends StreamChunk { + @doc("The kind identifier for thinking chunks") + kind: "thinking"; + + @doc("The thinking content of the chunk") + @sample(#{ value: "Let me consider..." }) + value: string; +} + +/** + * A tool call chunk from the LLM response stream. + */ +model ToolChunk extends StreamChunk { + @doc("The kind identifier for tool chunks") + kind: "tool"; + + @doc("The tool call data") + @sample(#{ + toolCall: #{ + id: "call_abc123", + name: "get_weather", + arguments: "{\"city\": \"Paris\"}", + }, + }) + toolCall: ToolCall; +} + +/** + * An error chunk from the LLM response stream. + */ +model ErrorChunk extends StreamChunk { + @doc("The kind identifier for error chunks") + kind: "error"; + + @doc("The error message") + @sample(#{ message: "Rate limit exceeded" }) + message: string; +} diff --git a/schema/model/guardrails.tsp b/schema/model/guardrails.tsp new file mode 100644 index 00000000..9b7a18cc --- /dev/null +++ b/schema/model/guardrails.tsp @@ -0,0 +1,26 @@ +import "agentschema-emitter"; + +namespace Prompty; + +/** + * The phase of the pipeline at which a guardrail is evaluated. + */ +alias GuardrailPhase = "input" | "output" | "tool"; + +/** + * The result of a guardrail evaluation. Guardrails are safety checks that + * run at specific phases of the agent loop and can allow, deny, or rewrite + * content. + */ +model GuardrailResult { + @doc("Whether the content passed the guardrail check") + @sample(#{ allowed: true }) + allowed: boolean; + + @doc("Explanation of why the content was allowed or denied") + @sample(#{ reason: "Content is safe" }) + reason?: string; + + @doc("Optional rewritten content to replace the original") + rewrite?: unknown; +} diff --git a/schema/model/main.tsp b/schema/model/main.tsp index 4f651254..2be02ed9 100644 --- a/schema/model/main.tsp +++ b/schema/model/main.tsp @@ -1,2 +1,6 @@ // Prompty schema entry point import "./agent.tsp"; +import "./message.tsp"; +import "./events.tsp"; +import "./guardrails.tsp"; +import "./discovery.tsp"; diff --git a/schema/model/message.tsp b/schema/model/message.tsp new file mode 100644 index 00000000..ae7e35b9 --- /dev/null +++ b/schema/model/message.tsp @@ -0,0 +1,137 @@ +import "agentschema-emitter"; + +namespace Prompty; + +/** + * The role of a message in a conversation. + */ +alias Role = "system" | "user" | "assistant" | "developer" | "tool"; + +/** + * The kind discriminator for content parts. + */ +alias ContentPartType = "text" | "image" | "file" | "audio"; + +/** + * A part of a message's content. Content parts are discriminated on the `kind` + * field and represent the different modalities that can appear in a message. + */ +@abstract +@discriminator("kind") +model ContentPart { + @doc("The kind of content part") + kind: ContentPartType; +} + +/** + * A text content part. + */ +model TextPart extends ContentPart { + @doc("The kind identifier for text content") + kind: "text"; + + @doc("The text content") + @sample(#{ value: "Hello, world!" }) + value: string; +} + +/** + * An image content part. The source may be a URL or base64-encoded data. + */ +model ImagePart extends ContentPart { + @doc("The kind identifier for image content") + kind: "image"; + + @doc("URL or base64-encoded image data") + @sample(#{ source: "https://example.com/image.png" }) + source: string; + + @doc("Detail level hint for the model (e.g., 'auto', 'low', 'high')") + @sample(#{ detail: "auto" }) + detail?: string; + + @doc("MIME type of the image (e.g., 'image/png')") + @sample(#{ mediaType: "image/png" }) + mediaType?: string; +} + +/** + * A file content part. The source may be a URL or base64-encoded data. + */ +model FilePart extends ContentPart { + @doc("The kind identifier for file content") + kind: "file"; + + @doc("URL or base64-encoded file data") + @sample(#{ source: "https://example.com/document.pdf" }) + source: string; + + @doc("MIME type of the file (e.g., 'application/pdf')") + @sample(#{ mediaType: "application/pdf" }) + mediaType?: string; +} + +/** + * An audio content part. The source may be a URL or base64-encoded data. + */ +model AudioPart extends ContentPart { + @doc("The kind identifier for audio content") + kind: "audio"; + + @doc("URL or base64-encoded audio data") + @sample(#{ source: "https://example.com/audio.wav" }) + source: string; + + @doc("MIME type of the audio (e.g., 'audio/wav')") + @sample(#{ mediaType: "audio/wav" }) + mediaType?: string; +} + +/** + * A message in a conversation. Messages have a role and a list of content parts + * representing the different modalities of the message content. + */ +model Message { + @doc("The role of the message sender") + @sample(#{ role: "user" }) + role: Role; + + @doc("The content parts of the message") + @sample(#{ parts: #[#{ kind: "text", value: "Hello!" }] }) + parts: ContentPart[]; + + @doc("Optional metadata associated with the message") + @sample(#{ metadata: #{ source: "user-input" } }) + metadata?: Record; +} + +/** + * A tool call requested by the LLM. Contains the function name and serialized + * arguments that should be dispatched to the appropriate tool handler. + */ +model ToolCall { + @doc("The unique identifier of the tool call") + @sample(#{ id: "call_abc123" }) + id: string; + + @doc("The name of the tool to call") + @sample(#{ name: "get_weather" }) + name: string; + + @doc("The serialized JSON arguments for the tool call") + @sample(#{ arguments: "{\"city\": \"Paris\"}" }) + arguments: string; +} + +/** + * The result of a tool execution. Contains a list of content parts, enabling + * rich tool results (text, images, files, audio) rather than just strings. + * + * Implementations MUST support conversion from a plain string to a ToolResult + * containing a single TextPart for backward compatibility. + */ +model ToolResult { + @doc("The content parts of the tool result") + @sample(#{ parts: #[#{ kind: "text", value: "72°F and sunny" }] }) + parts: ContentPart[]; +} diff --git a/schema/model/tools/prompty.tsp b/schema/model/tools/prompty.tsp index 3480ccfe..5cf1720d 100644 --- a/schema/model/tools/prompty.tsp +++ b/schema/model/tools/prompty.tsp @@ -3,13 +3,14 @@ import "../tools.tsp"; namespace Prompty; -alias promptyToolMode = "single" | "agentic"; - /** * A tool that references another .prompty file to be invoked as a tool. * - * In `single` mode, the child prompty is executed with a single LLM call. - * In `agentic` mode, the child prompty runs a full agent loop with its own tools. + * PromptyTool is always single-shot — the child prompty is loaded, rendered, + * and executed with a single LLM call (invoke). It does NOT run an agent loop. + * + * Applications that need agentic sub-agent delegation should register + * `kind: function` tools that internally call `turn()` with their own TurnOptions. */ model PromptyTool extends Tool { @doc("The kind identifier for prompty tools") @@ -19,8 +20,4 @@ model PromptyTool extends Tool { @doc("Path to the child .prompty file, relative to the parent") @sample(#{ path: "./summarize.prompty" }) path: string; - - @doc("Execution mode: 'single' for one LLM call, 'agentic' for full agent loop") - @sample(#{ mode: "single" }) - mode: promptyToolMode = "single"; } diff --git a/schema/tspconfig.yaml b/schema/tspconfig.yaml index f0f1ceb7..0f01c13a 100644 --- a/schema/tspconfig.yaml +++ b/schema/tspconfig.yaml @@ -10,6 +10,13 @@ options: "agentschema-emitter": emitter-output-dir: "{cwd}/tsp-output" root-object: "Prompty.Prompty" + additional-roots: + - "Prompty.Message" + - "Prompty.ToolCall" + - "Prompty.ToolResult" + - "Prompty.StreamChunk" + - "Prompty.GuardrailResult" + - "Prompty.ModelInfo" emit-targets: - type: TypeScript output-dir: "../runtime/typescript/packages/core/src/model" diff --git a/spec/spec.md b/spec/spec.md index f646ca7e..5970123f 100644 --- a/spec/spec.md +++ b/spec/spec.md @@ -1219,10 +1219,14 @@ function parse(agent, rendered): ### §6.5 Message Structure +The `Message`, `ContentPart`, `ToolCall`, and `ToolResult` types are defined in the +TypeSpec schema (`schema/model/message.tsp`) and generated to all runtime languages. +The canonical type definitions live there; this section specifies behavioral requirements. + ``` Message: - role: string // "system" | "user" | "assistant" - content: ContentPart[] // List of content parts + role: Role // "system" | "user" | "assistant" | "developer" | "tool" + parts: ContentPart[] // List of content parts metadata: dict | null // Optional attributes from role markers ContentPart = TextPart | ImagePart | AudioPart | FilePart @@ -1233,21 +1237,34 @@ TextPart: ImagePart: kind: "image" - value: string // URL or base64-encoded data + source: string // URL or base64-encoded data mediaType: string | null // MIME type (e.g., "image/png") detail: string | null // Detail level (e.g., "auto", "low", "high") AudioPart: kind: "audio" - value: string // URL or base64-encoded data + source: string // URL or base64-encoded data mediaType: string | null // MIME type (e.g., "audio/wav") FilePart: kind: "file" - value: string // URL or base64-encoded data + source: string // URL or base64-encoded data mediaType: string | null // MIME type + +ToolCall: + id: string // Unique identifier from the LLM + name: string // Tool function name + arguments: string // Serialized JSON arguments + +ToolResult: + parts: ContentPart[] // Rich content from tool execution ``` +**ToolResult** enables tools to return rich content (text, images, files, audio) +rather than plain strings. Implementations MUST support conversion from a plain +string to a `ToolResult` containing a single `TextPart` for backward compatibility +with existing tool handlers that return strings. + ### §6.6 Content Handling Rules **Blank line trimming**: Leading and trailing blank lines within each message's content @@ -2254,7 +2271,7 @@ function turn(agent_or_path, inputs, tools=null) → result: try: if handler is not null: // Name registry hit — direct call - tool_result = handler(args) + tool_result = handler(args) // returns ToolResult else: // Layer 2: kind handler fallback kind_handler = get_tool_handler(tool_def.kind) @@ -2263,13 +2280,14 @@ function turn(agent_or_path, inputs, tools=null) → result: "No handler registered for tool: " + tool_call.name + " (kind: " + tool_def.kind + ")" ) - tool_result = kind_handler(tool_def, args, agent, inputs) + tool_result = kind_handler(tool_def, args, agent, inputs) // returns ToolResult catch error: // Tool handler failures MUST NOT kill the agent loop (§9.9) - tool_result = "Error: Tool '" + tool_call.name + "' failed: " + str(error) - emit event("error", { message: tool_result }) + error_text = "Error: Tool '" + tool_call.name + "' failed: " + str(error) + tool_result = ToolResult(parts: [TextPart(kind: "text", value: error_text)]) + emit event("error", { message: error_text }) - tool_results.append({ tool_call_id: tool_call.id, result: str(tool_result) }) + tool_results.append({ tool_call_id: tool_call.id, result: tool_result }) // Delegate message formatting to the executor (§9.4) executor = get_executor(agent.model.provider) @@ -2342,7 +2360,7 @@ executor.FormatToolMessages( | -------------- | ----------------------------- | ------------------------------------------------------ | | `raw_response` | provider response or null | Original API response object; needed by Anthropic to preserve content blocks. May be null in streaming path. | | `tool_calls` | list of `{ id, name, arguments }` | Normalized tool call data extracted from the response. `arguments` is a JSON string. | -| `tool_results` | list of `{ tool_call_id, result }` | Results from executing each tool, in the same order as `tool_calls`. | +| `tool_results` | list of `{ tool_call_id, result: ToolResult }` | Results from executing each tool, in the same order as `tool_calls`. Each `result` is a `ToolResult` containing `ContentPart[]`. | | `text_content` | string or null | Any text content from the response alongside tool calls (e.g., Anthropic thinking text). | **Return value:** A `list` to append to the conversation. The number @@ -2379,12 +2397,23 @@ Returns 1 assistant message + N tool messages (one per tool call): } ] }, - // One tool message per result + // One tool message per result — content is derived from ToolResult.parts + // If all parts are TextPart, content is a plain string (concatenated) + // If parts include non-text (ImagePart, etc.), content is an array: { role: "tool", - content: "72°F and sunny", + content: "72°F and sunny", // simple case: single TextPart → string tool_call_id: "call_123" } + // Rich case (text + image): + // { + // role: "tool", + // content: [ + // { type: "text", text: "Here's the weather:" }, + // { type: "image_url", image_url: { url: "https://..." } } + // ], + // tool_call_id: "call_456" + // } ] ``` @@ -2399,11 +2428,17 @@ Returns 1 assistant message + 1 user message (batched tool results): role: "assistant", content: [] }, - // ALL tool results in ONE user message + // ALL tool results in ONE user message — each result's ContentPart[] + // maps to Anthropic content blocks { role: "user", content: [ { type: "tool_result", tool_use_id: "toolu_123", content: "72°F and sunny" }, + // Rich result (text + image): + // { type: "tool_result", tool_use_id: "toolu_456", content: [ + // { type: "text", text: "Here's the chart:" }, + // { type: "image", source: { type: "base64", media_type: "image/png", data: "..." } } + // ] } { type: "tool_result", tool_use_id: "toolu_456", content: "Pizza Palace" } ] } @@ -2460,25 +2495,28 @@ parameter name. ### §9.7 PromptyTool Execution -A `PromptyTool` references another `.prompty` file to be invoked as a tool: +A `PromptyTool` references another `.prompty` file to be invoked as a tool. +PromptyTool is **always single-shot** — one LLM call, no agent loop. ``` -function execute_prompty_tool(tool, args, parent_inputs) → result: +function execute_prompty_tool(tool, args, parent_inputs) → ToolResult: // Resolve path relative to the parent .prompty file child_agent = load(tool.path) // Merge: LLM-provided args + bindings from parent inputs merged = apply_bindings(tool, args, parent_inputs) - match tool.mode: - "single": - // One LLM call — no agent loop - return run(child_agent, merged) - "agentic": - // Full agent loop — child may call tools too - return turn(child_agent, merged, tools=child_agent_tools) + // Single-shot execution — invoke, not turn + result = invoke(child_agent, merged) + return ToolResult(parts: [TextPart(kind: "text", value: str(result))]) ``` +Implementations MUST NOT run an agent loop for `kind: prompty` tools. +Applications that need agentic sub-agent delegation SHOULD register +`kind: function` tools that internally call `turn()` with their own +`TurnOptions`. This keeps policy decisions (event propagation, cancellation, +steering scope, guardrail inheritance) in application code where they belong. + Child `PromptyTool` execution MUST inherit the parent's tracer registry, producing nested trace spans that show the full call hierarchy. @@ -3147,17 +3185,23 @@ and coordination without coupling the loop to any particular output mechanism. **Event Types:** +The `AgentEventType` enum is defined in TypeSpec (`schema/model/events.tsp`) and +generated to all runtime languages. The event types and their payloads are: + | Event Type | Payload | When Emitted | | ------------------- | ------------------------------------------------ | ----------------------------------------- | | `token` | `{ token: string }` | Each content chunk during streaming | | `thinking` | `{ token: string }` | Each reasoning/chain-of-thought chunk | | `tool_call_start` | `{ name: string, arguments: string }` | When a tool call is detected | -| `tool_result` | `{ name: string, result: string }` | After a tool call completes | +| `tool_result` | `{ name: string, result: ToolResult }` | After a tool call completes | | `status` | `{ message: string }` | Human-readable status updates | | `messages_updated` | `{ messages: Message[] }` | After messages list is mutated | | `done` | `{ response: string, messages: Message[] }` | Final response produced | | `error` | `{ message: string }` | Non-fatal error (e.g., tool panic) | | `cancelled` | `{}` | Loop was cancelled via cancellation token | +| `compaction_start` | `{}` | Context compaction beginning | +| `compaction_complete` | `{ removed: int, remaining: int }` | Context compaction completed | +| `compaction_failed` | `{ message: string }` | Context compaction failed | **API:** @@ -3422,6 +3466,17 @@ Steering enables external code to inject user messages into a running agent loop. This supports interactive scenarios where a user wants to redirect the agent mid-execution (e.g., "actually focus on error handling"). +**Principle:** Steering is for managing whatever the current agent is doing. +Steering messages are local to the agent that receives them — they affect +the current conversation, not sub-agent invocations or child tool calls. + +**Normative Requirements:** + +- Steering messages MUST be processed between iterations of the agent loop. +- Steering MUST NOT interrupt in-progress tool execution. +- Steering MUST NOT propagate to sub-agents (including `kind: prompty` tool invocations). +- Implementations MUST NOT make implicit LLM calls to route or transform steering messages. + **Steering Queue:** ``` @@ -3744,4 +3799,70 @@ for (const userInput of messages) { --- -*End of Specification (Sections 1–14).* \ No newline at end of file +## §15 Model Discovery + +### §15.1 Overview + +Provider packages SHOULD implement a model discovery function that lists +available models and their capabilities. This enables applications to build +model selection UIs, validate model configuration, and make runtime decisions +based on model properties (e.g., context window size, supported modalities). + +Model discovery is a **convention**, not a hard requirement. A conforming +Prompty implementation MAY omit model discovery entirely. However, provider +packages that support model discovery SHOULD follow the patterns in this section. + +### §15.2 ModelInfo Type + +The `ModelInfo` type is defined in TypeSpec (`schema/model/discovery.tsp`) +and generated to all runtime languages. It represents information about a +single model: + +``` +ModelInfo: + id: string // Model identifier (e.g., "gpt-4o") + displayName: string | null // Human-readable name + ownedBy: string | null // Organization that owns the model + contextWindow: int32 | null // Maximum context window in tokens + inputModalities: string[] | null // Accepted modalities ("text", "image", "audio") + outputModalities: string[] | null // Produced modalities ("text", "audio") + additionalProperties: dict | null // Provider-specific properties +``` + +### §15.3 Convention + +Each provider package SHOULD implement: + +``` +function list_models(connection) → ModelInfo[]: + // Call the provider's model listing API + // Map results to ModelInfo objects + // Enrich with known model properties where the API is sparse +``` + +**Provider API Variance:** + +| Provider | API | Context Window | Modalities | Notes | +| --------- | ---------------------- | -------------- | ---------- | ---------------------------- | +| OpenAI | `GET /v1/models` | ❌ | ❌ | Sparse — enrich from lookup | +| Azure | `GET /openai/models` | ✅ | ❌ | Has `max_context_length` | +| Anthropic | `GET /v1/models` | ✅ | ✅ | Rich — `context_length`, modalities | + +**Enrichment Strategy:** + +Providers with sparse APIs (particularly OpenAI) SHOULD maintain a built-in +lookup table of known models to enrich the API response. Unknown models get +`null` for enrichment fields. The lookup table is a best-effort cache — it +does not need to be exhaustive or always up-to-date. + +### §15.4 Conformance + +- Provider packages SHOULD implement `list_models(connection) → ModelInfo[]`. +- Implementations MUST use the TypeSpec-generated `ModelInfo` type. +- Implementations SHOULD populate as many fields as the provider's API supports. +- Implementations MAY enrich sparse results from a built-in lookup table. +- Implementations MUST NOT require model discovery for normal prompt execution. + +--- + +*End of Specification (Sections 1–15).* \ No newline at end of file diff --git a/vscode/prompty/schemas/AudioPart.yaml b/vscode/prompty/schemas/AudioPart.yaml new file mode 100644 index 00000000..85644cbb --- /dev/null +++ b/vscode/prompty/schemas/AudioPart.yaml @@ -0,0 +1,20 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: AudioPart.yaml +type: object +properties: + kind: + type: string + const: audio + description: The kind identifier for audio content + source: + type: string + description: URL or base64-encoded audio data + mediaType: + type: string + description: MIME type of the audio (e.g., 'audio/wav') +required: + - kind + - source +allOf: + - $ref: ContentPart.yaml +description: An audio content part. The source may be a URL or base64-encoded data. diff --git a/vscode/prompty/schemas/ContentPart.yaml b/vscode/prompty/schemas/ContentPart.yaml new file mode 100644 index 00000000..85755ea7 --- /dev/null +++ b/vscode/prompty/schemas/ContentPart.yaml @@ -0,0 +1,20 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: ContentPart.yaml +type: object +properties: + kind: + anyOf: + - type: string + const: text + - type: string + const: image + - type: string + const: file + - type: string + const: audio + description: The kind of content part +required: + - kind +description: |- + A part of a message's content. Content parts are discriminated on the `kind` + field and represent the different modalities that can appear in a message. diff --git a/vscode/prompty/schemas/ErrorChunk.yaml b/vscode/prompty/schemas/ErrorChunk.yaml new file mode 100644 index 00000000..e19ee890 --- /dev/null +++ b/vscode/prompty/schemas/ErrorChunk.yaml @@ -0,0 +1,17 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: ErrorChunk.yaml +type: object +properties: + kind: + type: string + const: error + description: The kind identifier for error chunks + message: + type: string + description: The error message +required: + - kind + - message +allOf: + - $ref: StreamChunk.yaml +description: An error chunk from the LLM response stream. diff --git a/vscode/prompty/schemas/FilePart.yaml b/vscode/prompty/schemas/FilePart.yaml new file mode 100644 index 00000000..89fd261d --- /dev/null +++ b/vscode/prompty/schemas/FilePart.yaml @@ -0,0 +1,20 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: FilePart.yaml +type: object +properties: + kind: + type: string + const: file + description: The kind identifier for file content + source: + type: string + description: URL or base64-encoded file data + mediaType: + type: string + description: MIME type of the file (e.g., 'application/pdf') +required: + - kind + - source +allOf: + - $ref: ContentPart.yaml +description: A file content part. The source may be a URL or base64-encoded data. diff --git a/vscode/prompty/schemas/GuardrailResult.yaml b/vscode/prompty/schemas/GuardrailResult.yaml new file mode 100644 index 00000000..84cc67fd --- /dev/null +++ b/vscode/prompty/schemas/GuardrailResult.yaml @@ -0,0 +1,18 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: GuardrailResult.yaml +type: object +properties: + allowed: + type: boolean + description: Whether the content passed the guardrail check + reason: + type: string + description: Explanation of why the content was allowed or denied + rewrite: + description: Optional rewritten content to replace the original +required: + - allowed +description: |- + The result of a guardrail evaluation. Guardrails are safety checks that + run at specific phases of the agent loop and can allow, deny, or rewrite + content. diff --git a/vscode/prompty/schemas/ImagePart.yaml b/vscode/prompty/schemas/ImagePart.yaml new file mode 100644 index 00000000..7064bde0 --- /dev/null +++ b/vscode/prompty/schemas/ImagePart.yaml @@ -0,0 +1,23 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: ImagePart.yaml +type: object +properties: + kind: + type: string + const: image + description: The kind identifier for image content + source: + type: string + description: URL or base64-encoded image data + detail: + type: string + description: Detail level hint for the model (e.g., 'auto', 'low', 'high') + mediaType: + type: string + description: MIME type of the image (e.g., 'image/png') +required: + - kind + - source +allOf: + - $ref: ContentPart.yaml +description: An image content part. The source may be a URL or base64-encoded data. diff --git a/vscode/prompty/schemas/Message.yaml b/vscode/prompty/schemas/Message.yaml new file mode 100644 index 00000000..1be99f50 --- /dev/null +++ b/vscode/prompty/schemas/Message.yaml @@ -0,0 +1,31 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: Message.yaml +type: object +properties: + role: + anyOf: + - type: string + const: system + - type: string + const: user + - type: string + const: assistant + - type: string + const: developer + - type: string + const: tool + description: The role of the message sender + parts: + type: array + items: + $ref: ContentPart.yaml + description: The content parts of the message + metadata: + $ref: RecordUnknown.yaml + description: Optional metadata associated with the message +required: + - role + - parts +description: |- + A message in a conversation. Messages have a role and a list of content parts + representing the different modalities of the message content. diff --git a/vscode/prompty/schemas/ModelInfo.yaml b/vscode/prompty/schemas/ModelInfo.yaml new file mode 100644 index 00000000..b2df752f --- /dev/null +++ b/vscode/prompty/schemas/ModelInfo.yaml @@ -0,0 +1,40 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: ModelInfo.yaml +type: object +properties: + id: + type: string + description: The model identifier (e.g., 'gpt-4o', 'claude-3-opus') + displayName: + type: string + description: Human-readable display name + ownedBy: + type: string + description: The organization or entity that owns the model + contextWindow: + type: integer + minimum: -2147483648 + maximum: 2147483647 + description: Maximum context window size in tokens + inputModalities: + type: array + items: + type: string + description: Input modalities the model accepts (e.g., 'text', 'image', 'audio') + outputModalities: + type: array + items: + type: string + description: Output modalities the model can produce (e.g., 'text', 'audio') + additionalProperties: + $ref: RecordUnknown.yaml + description: Additional provider-specific properties +required: + - id +description: |- + Information about a model available from a provider. Used by provider-level + model discovery to report which models are available and their capabilities. + + Not all providers return all fields — implementations SHOULD populate as + many fields as the provider's API supports and MAY enrich sparse results + from a built-in lookup table of known models. diff --git a/vscode/prompty/schemas/PromptyTool.yaml b/vscode/prompty/schemas/PromptyTool.yaml index 22285123..cf5ee480 100644 --- a/vscode/prompty/schemas/PromptyTool.yaml +++ b/vscode/prompty/schemas/PromptyTool.yaml @@ -9,22 +9,16 @@ properties: path: type: string description: Path to the child .prompty file, relative to the parent - mode: - anyOf: - - type: string - const: single - - type: string - const: agentic - default: single - description: "Execution mode: 'single' for one LLM call, 'agentic' for full agent loop" required: - kind - path - - mode allOf: - $ref: Tool.yaml description: |- A tool that references another .prompty file to be invoked as a tool. - In `single` mode, the child prompty is executed with a single LLM call. - In `agentic` mode, the child prompty runs a full agent loop with its own tools. + PromptyTool is always single-shot — the child prompty is loaded, rendered, + and executed with a single LLM call (invoke). It does NOT run an agent loop. + + Applications that need agentic sub-agent delegation should register + `kind: function` tools that internally call `turn()` with their own TurnOptions. diff --git a/vscode/prompty/schemas/StreamChunk.yaml b/vscode/prompty/schemas/StreamChunk.yaml new file mode 100644 index 00000000..5f1776fb --- /dev/null +++ b/vscode/prompty/schemas/StreamChunk.yaml @@ -0,0 +1,20 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: StreamChunk.yaml +type: object +properties: + kind: + anyOf: + - type: string + const: text + - type: string + const: thinking + - type: string + const: tool + - type: string + const: error + description: The kind of stream chunk +required: + - kind +description: |- + A chunk of data from a streaming LLM response. Stream chunks are + discriminated on the `kind` field. diff --git a/vscode/prompty/schemas/TextChunk.yaml b/vscode/prompty/schemas/TextChunk.yaml new file mode 100644 index 00000000..a51de55a --- /dev/null +++ b/vscode/prompty/schemas/TextChunk.yaml @@ -0,0 +1,17 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: TextChunk.yaml +type: object +properties: + kind: + type: string + const: text + description: The kind identifier for text chunks + value: + type: string + description: The text content of the chunk +required: + - kind + - value +allOf: + - $ref: StreamChunk.yaml +description: A text content chunk from the LLM response stream. diff --git a/vscode/prompty/schemas/TextPart.yaml b/vscode/prompty/schemas/TextPart.yaml new file mode 100644 index 00000000..589918b5 --- /dev/null +++ b/vscode/prompty/schemas/TextPart.yaml @@ -0,0 +1,17 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: TextPart.yaml +type: object +properties: + kind: + type: string + const: text + description: The kind identifier for text content + value: + type: string + description: The text content +required: + - kind + - value +allOf: + - $ref: ContentPart.yaml +description: A text content part. diff --git a/vscode/prompty/schemas/ThinkingChunk.yaml b/vscode/prompty/schemas/ThinkingChunk.yaml new file mode 100644 index 00000000..1aca49a3 --- /dev/null +++ b/vscode/prompty/schemas/ThinkingChunk.yaml @@ -0,0 +1,17 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: ThinkingChunk.yaml +type: object +properties: + kind: + type: string + const: thinking + description: The kind identifier for thinking chunks + value: + type: string + description: The thinking content of the chunk +required: + - kind + - value +allOf: + - $ref: StreamChunk.yaml +description: A thinking/reasoning content chunk from the LLM response stream. diff --git a/vscode/prompty/schemas/ToolCall.yaml b/vscode/prompty/schemas/ToolCall.yaml new file mode 100644 index 00000000..33420a02 --- /dev/null +++ b/vscode/prompty/schemas/ToolCall.yaml @@ -0,0 +1,20 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: ToolCall.yaml +type: object +properties: + id: + type: string + description: The unique identifier of the tool call + name: + type: string + description: The name of the tool to call + arguments: + type: string + description: The serialized JSON arguments for the tool call +required: + - id + - name + - arguments +description: |- + A tool call requested by the LLM. Contains the function name and serialized + arguments that should be dispatched to the appropriate tool handler. diff --git a/vscode/prompty/schemas/ToolChunk.yaml b/vscode/prompty/schemas/ToolChunk.yaml new file mode 100644 index 00000000..21bbc94a --- /dev/null +++ b/vscode/prompty/schemas/ToolChunk.yaml @@ -0,0 +1,17 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: ToolChunk.yaml +type: object +properties: + kind: + type: string + const: tool + description: The kind identifier for tool chunks + toolCall: + $ref: ToolCall.yaml + description: The tool call data +required: + - kind + - toolCall +allOf: + - $ref: StreamChunk.yaml +description: A tool call chunk from the LLM response stream. diff --git a/vscode/prompty/schemas/ToolResult.yaml b/vscode/prompty/schemas/ToolResult.yaml new file mode 100644 index 00000000..a4f3a2db --- /dev/null +++ b/vscode/prompty/schemas/ToolResult.yaml @@ -0,0 +1,17 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: ToolResult.yaml +type: object +properties: + parts: + type: array + items: + $ref: ContentPart.yaml + description: The content parts of the tool result +required: + - parts +description: |- + The result of a tool execution. Contains a list of content parts, enabling + rich tool results (text, images, files, audio) rather than just strings. + + Implementations MUST support conversion from a plain string to a ToolResult + containing a single TextPart for backward compatibility. diff --git a/web/src/content/docs/reference/AudioPart.md b/web/src/content/docs/reference/AudioPart.md new file mode 100644 index 00000000..a52bac4b --- /dev/null +++ b/web/src/content/docs/reference/AudioPart.md @@ -0,0 +1,46 @@ +--- +title: "AudioPart" +description: "Documentation for the AudioPart type." +slug: "reference/audiopart" +--- + +An audio content part. The source may be a URL or base64-encoded data. + +## Class Diagram + +```mermaid +--- +title: AudioPart +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class ContentPart { + +string kind + } + ContentPart <|-- AudioPart + class AudioPart { + + +string kind + +string source + +string mediaType + } +``` + +## Yaml Example + +```yaml +source: https://example.com/audio.wav +mediaType: audio/wav +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| kind | string | The kind identifier for audio content | +| source | string | URL or base64-encoded audio data | +| mediaType | string | MIME type of the audio (e.g., 'audio/wav') | diff --git a/web/src/content/docs/reference/ContentPart.md b/web/src/content/docs/reference/ContentPart.md new file mode 100644 index 00000000..e5617155 --- /dev/null +++ b/web/src/content/docs/reference/ContentPart.md @@ -0,0 +1,65 @@ +--- +title: "ContentPart" +description: "Documentation for the ContentPart type." +slug: "reference/contentpart" +--- + +A part of a message's content. Content parts are discriminated on the `kind` +field and represent the different modalities that can appear in a message. + +## Class Diagram + +```mermaid +--- +title: ContentPart +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class ContentPart { + <> + +string kind + } + class TextPart { + +string kind + +string value + } + ContentPart <|-- TextPart + class ImagePart { + +string kind + +string source + +string detail + +string mediaType + } + ContentPart <|-- ImagePart + class FilePart { + +string kind + +string source + +string mediaType + } + ContentPart <|-- FilePart + class AudioPart { + +string kind + +string source + +string mediaType + } + ContentPart <|-- AudioPart +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| kind | string | The kind of content part | + +## Child Types + +The following types extend `ContentPart`: + +- [TextPart](../textpart/) +- [ImagePart](../imagepart/) +- [FilePart](../filepart/) +- [AudioPart](../audiopart/) diff --git a/web/src/content/docs/reference/ErrorChunk.md b/web/src/content/docs/reference/ErrorChunk.md new file mode 100644 index 00000000..5b231708 --- /dev/null +++ b/web/src/content/docs/reference/ErrorChunk.md @@ -0,0 +1,43 @@ +--- +title: "ErrorChunk" +description: "Documentation for the ErrorChunk type." +slug: "reference/errorchunk" +--- + +An error chunk from the LLM response stream. + +## Class Diagram + +```mermaid +--- +title: ErrorChunk +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class StreamChunk { + +string kind + } + StreamChunk <|-- ErrorChunk + class ErrorChunk { + + +string kind + +string message + } +``` + +## Yaml Example + +```yaml +message: Rate limit exceeded +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| kind | string | The kind identifier for error chunks | +| message | string | The error message | diff --git a/web/src/content/docs/reference/FilePart.md b/web/src/content/docs/reference/FilePart.md new file mode 100644 index 00000000..7cf81a0d --- /dev/null +++ b/web/src/content/docs/reference/FilePart.md @@ -0,0 +1,46 @@ +--- +title: "FilePart" +description: "Documentation for the FilePart type." +slug: "reference/filepart" +--- + +A file content part. The source may be a URL or base64-encoded data. + +## Class Diagram + +```mermaid +--- +title: FilePart +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class ContentPart { + +string kind + } + ContentPart <|-- FilePart + class FilePart { + + +string kind + +string source + +string mediaType + } +``` + +## Yaml Example + +```yaml +source: https://example.com/document.pdf +mediaType: application/pdf +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| kind | string | The kind identifier for file content | +| source | string | URL or base64-encoded file data | +| mediaType | string | MIME type of the file (e.g., 'application/pdf') | diff --git a/web/src/content/docs/reference/GuardrailResult.md b/web/src/content/docs/reference/GuardrailResult.md new file mode 100644 index 00000000..e916befe --- /dev/null +++ b/web/src/content/docs/reference/GuardrailResult.md @@ -0,0 +1,44 @@ +--- +title: "GuardrailResult" +description: "Documentation for the GuardrailResult type." +slug: "reference/guardrailresult" +--- + +The result of a guardrail evaluation. Guardrails are safety checks that +run at specific phases of the agent loop and can allow, deny, or rewrite +content. + +## Class Diagram + +```mermaid +--- +title: GuardrailResult +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class GuardrailResult { + + +boolean allowed + +string reason + +unknown rewrite + } +``` + +## Yaml Example + +```yaml +allowed: true +reason: Content is safe +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| allowed | boolean | Whether the content passed the guardrail check | +| reason | string | Explanation of why the content was allowed or denied | +| rewrite | unknown | Optional rewritten content to replace the original | diff --git a/web/src/content/docs/reference/ImagePart.md b/web/src/content/docs/reference/ImagePart.md new file mode 100644 index 00000000..92b0d812 --- /dev/null +++ b/web/src/content/docs/reference/ImagePart.md @@ -0,0 +1,49 @@ +--- +title: "ImagePart" +description: "Documentation for the ImagePart type." +slug: "reference/imagepart" +--- + +An image content part. The source may be a URL or base64-encoded data. + +## Class Diagram + +```mermaid +--- +title: ImagePart +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class ContentPart { + +string kind + } + ContentPart <|-- ImagePart + class ImagePart { + + +string kind + +string source + +string detail + +string mediaType + } +``` + +## Yaml Example + +```yaml +source: https://example.com/image.png +detail: auto +mediaType: image/png +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| kind | string | The kind identifier for image content | +| source | string | URL or base64-encoded image data | +| detail | string | Detail level hint for the model (e.g., 'auto', 'low', 'high') | +| mediaType | string | MIME type of the image (e.g., 'image/png') | diff --git a/web/src/content/docs/reference/Message.md b/web/src/content/docs/reference/Message.md new file mode 100644 index 00000000..99c600af --- /dev/null +++ b/web/src/content/docs/reference/Message.md @@ -0,0 +1,57 @@ +--- +title: "Message" +description: "Documentation for the Message type." +slug: "reference/message" +--- + +A message in a conversation. Messages have a role and a list of content parts +representing the different modalities of the message content. + +## Class Diagram + +```mermaid +--- +title: Message +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class Message { + + +string role + +ContentPart[] parts + +dictionary metadata + } + class ContentPart { + +string kind + } + Message *-- ContentPart +``` + +## Yaml Example + +```yaml +role: user +parts: + - kind: text + value: Hello! +metadata: + source: user-input +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| role | string | The role of the message sender | +| parts | [ContentPart[]](../contentpart/) | The content parts of the message(Related Types: [TextPart](../textpart/), [ImagePart](../imagepart/), [FilePart](../filepart/), [AudioPart](../audiopart/)) | +| metadata | dictionary | Optional metadata associated with the message | + +## Composed Types + +The following types are composed within `Message`: + +- [ContentPart](../contentpart/) diff --git a/web/src/content/docs/reference/ModelInfo.md b/web/src/content/docs/reference/ModelInfo.md new file mode 100644 index 00000000..442cfd38 --- /dev/null +++ b/web/src/content/docs/reference/ModelInfo.md @@ -0,0 +1,64 @@ +--- +title: "ModelInfo" +description: "Documentation for the ModelInfo type." +slug: "reference/modelinfo" +--- + +Information about a model available from a provider. Used by provider-level +model discovery to report which models are available and their capabilities. + +Not all providers return all fields — implementations SHOULD populate as +many fields as the provider's API supports and MAY enrich sparse results +from a built-in lookup table of known models. + +## Class Diagram + +```mermaid +--- +title: ModelInfo +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class ModelInfo { + + +string id + +string displayName + +string ownedBy + +int32 contextWindow + +string[] inputModalities + +string[] outputModalities + +dictionary additionalProperties + } +``` + +## Yaml Example + +```yaml +id: gpt-4o +displayName: GPT-4o +ownedBy: openai +contextWindow: 128000 +inputModalities: + - text + - image +outputModalities: + - text +additionalProperties: + supportsStreaming: true +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| id | string | The model identifier (e.g., 'gpt-4o', 'claude-3-opus') | +| displayName | string | Human-readable display name | +| ownedBy | string | The organization or entity that owns the model | +| contextWindow | int32 | Maximum context window size in tokens | +| inputModalities | string[] | Input modalities the model accepts (e.g., 'text', 'image', 'audio') | +| outputModalities | string[] | Output modalities the model can produce (e.g., 'text', 'audio') | +| additionalProperties | dictionary | Additional provider-specific properties | diff --git a/web/src/content/docs/reference/PromptyTool.md b/web/src/content/docs/reference/PromptyTool.md index 4732008e..4e3a6dc4 100644 --- a/web/src/content/docs/reference/PromptyTool.md +++ b/web/src/content/docs/reference/PromptyTool.md @@ -6,8 +6,11 @@ slug: "reference/promptytool" A tool that references another .prompty file to be invoked as a tool. -In `single` mode, the child prompty is executed with a single LLM call. -In `agentic` mode, the child prompty runs a full agent loop with its own tools. +PromptyTool is always single-shot — the child prompty is loaded, rendered, +and executed with a single LLM call (invoke). It does NOT run an agent loop. + +Applications that need agentic sub-agent delegation should register +`kind: function` tools that internally call `turn()` with their own TurnOptions. ## Class Diagram @@ -32,7 +35,6 @@ classDiagram +string kind +string path - +string mode } ``` @@ -41,7 +43,6 @@ classDiagram ```yaml kind: prompty path: ./summarize.prompty -mode: single ``` ## Properties @@ -50,4 +51,3 @@ mode: single | ---- | ---- | ----------- | | kind | string | The kind identifier for prompty tools | | path | string | Path to the child .prompty file, relative to the parent | -| mode | string | Execution mode: 'single' for one LLM call, 'agentic' for full agent loop | diff --git a/web/src/content/docs/reference/StreamChunk.md b/web/src/content/docs/reference/StreamChunk.md new file mode 100644 index 00000000..31f71f70 --- /dev/null +++ b/web/src/content/docs/reference/StreamChunk.md @@ -0,0 +1,61 @@ +--- +title: "StreamChunk" +description: "Documentation for the StreamChunk type." +slug: "reference/streamchunk" +--- + +A chunk of data from a streaming LLM response. Stream chunks are +discriminated on the `kind` field. + +## Class Diagram + +```mermaid +--- +title: StreamChunk +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class StreamChunk { + <> + +string kind + } + class TextChunk { + +string kind + +string value + } + StreamChunk <|-- TextChunk + class ThinkingChunk { + +string kind + +string value + } + StreamChunk <|-- ThinkingChunk + class ToolChunk { + +string kind + +ToolCall toolCall + } + StreamChunk <|-- ToolChunk + class ErrorChunk { + +string kind + +string message + } + StreamChunk <|-- ErrorChunk +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| kind | string | The kind of stream chunk | + +## Child Types + +The following types extend `StreamChunk`: + +- [TextChunk](../textchunk/) +- [ThinkingChunk](../thinkingchunk/) +- [ToolChunk](../toolchunk/) +- [ErrorChunk](../errorchunk/) diff --git a/web/src/content/docs/reference/TextChunk.md b/web/src/content/docs/reference/TextChunk.md new file mode 100644 index 00000000..4483f475 --- /dev/null +++ b/web/src/content/docs/reference/TextChunk.md @@ -0,0 +1,43 @@ +--- +title: "TextChunk" +description: "Documentation for the TextChunk type." +slug: "reference/textchunk" +--- + +A text content chunk from the LLM response stream. + +## Class Diagram + +```mermaid +--- +title: TextChunk +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class StreamChunk { + +string kind + } + StreamChunk <|-- TextChunk + class TextChunk { + + +string kind + +string value + } +``` + +## Yaml Example + +```yaml +value: Hello +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| kind | string | The kind identifier for text chunks | +| value | string | The text content of the chunk | diff --git a/web/src/content/docs/reference/TextPart.md b/web/src/content/docs/reference/TextPart.md new file mode 100644 index 00000000..925785fd --- /dev/null +++ b/web/src/content/docs/reference/TextPart.md @@ -0,0 +1,43 @@ +--- +title: "TextPart" +description: "Documentation for the TextPart type." +slug: "reference/textpart" +--- + +A text content part. + +## Class Diagram + +```mermaid +--- +title: TextPart +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class ContentPart { + +string kind + } + ContentPart <|-- TextPart + class TextPart { + + +string kind + +string value + } +``` + +## Yaml Example + +```yaml +value: Hello, world! +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| kind | string | The kind identifier for text content | +| value | string | The text content | diff --git a/web/src/content/docs/reference/ThinkingChunk.md b/web/src/content/docs/reference/ThinkingChunk.md new file mode 100644 index 00000000..2ffbf309 --- /dev/null +++ b/web/src/content/docs/reference/ThinkingChunk.md @@ -0,0 +1,43 @@ +--- +title: "ThinkingChunk" +description: "Documentation for the ThinkingChunk type." +slug: "reference/thinkingchunk" +--- + +A thinking/reasoning content chunk from the LLM response stream. + +## Class Diagram + +```mermaid +--- +title: ThinkingChunk +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class StreamChunk { + +string kind + } + StreamChunk <|-- ThinkingChunk + class ThinkingChunk { + + +string kind + +string value + } +``` + +## Yaml Example + +```yaml +value: Let me consider... +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| kind | string | The kind identifier for thinking chunks | +| value | string | The thinking content of the chunk | diff --git a/web/src/content/docs/reference/Tool.md b/web/src/content/docs/reference/Tool.md index a5eaa4ab..b698ecfc 100644 --- a/web/src/content/docs/reference/Tool.md +++ b/web/src/content/docs/reference/Tool.md @@ -55,7 +55,6 @@ classDiagram class PromptyTool { +string kind +string path - +string mode } Tool <|-- PromptyTool class Binding { diff --git a/web/src/content/docs/reference/ToolCall.md b/web/src/content/docs/reference/ToolCall.md new file mode 100644 index 00000000..891060d0 --- /dev/null +++ b/web/src/content/docs/reference/ToolCall.md @@ -0,0 +1,44 @@ +--- +title: "ToolCall" +description: "Documentation for the ToolCall type." +slug: "reference/toolcall" +--- + +A tool call requested by the LLM. Contains the function name and serialized +arguments that should be dispatched to the appropriate tool handler. + +## Class Diagram + +```mermaid +--- +title: ToolCall +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class ToolCall { + + +string id + +string name + +string arguments + } +``` + +## Yaml Example + +```yaml +id: call_abc123 +name: get_weather +arguments: '{"city": "Paris"}' +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| id | string | The unique identifier of the tool call | +| name | string | The name of the tool to call | +| arguments | string | The serialized JSON arguments for the tool call | diff --git a/web/src/content/docs/reference/ToolChunk.md b/web/src/content/docs/reference/ToolChunk.md new file mode 100644 index 00000000..5e093b71 --- /dev/null +++ b/web/src/content/docs/reference/ToolChunk.md @@ -0,0 +1,58 @@ +--- +title: "ToolChunk" +description: "Documentation for the ToolChunk type." +slug: "reference/toolchunk" +--- + +A tool call chunk from the LLM response stream. + +## Class Diagram + +```mermaid +--- +title: ToolChunk +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class StreamChunk { + +string kind + } + StreamChunk <|-- ToolChunk + class ToolChunk { + + +string kind + +ToolCall toolCall + } + class ToolCall { + +string id + +string name + +string arguments + } + ToolChunk *-- ToolCall +``` + +## Yaml Example + +```yaml +toolCall: + id: call_abc123 + name: get_weather + arguments: '{"city": "Paris"}' +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| kind | string | The kind identifier for tool chunks | +| toolCall | [ToolCall](../toolcall/) | The tool call data | + +## Composed Types + +The following types are composed within `ToolChunk`: + +- [ToolCall](../toolcall/) diff --git a/web/src/content/docs/reference/ToolResult.md b/web/src/content/docs/reference/ToolResult.md new file mode 100644 index 00000000..18405512 --- /dev/null +++ b/web/src/content/docs/reference/ToolResult.md @@ -0,0 +1,53 @@ +--- +title: "ToolResult" +description: "Documentation for the ToolResult type." +slug: "reference/toolresult" +--- + +The result of a tool execution. Contains a list of content parts, enabling +rich tool results (text, images, files, audio) rather than just strings. + +Implementations MUST support conversion from a plain string to a ToolResult +containing a single TextPart for backward compatibility. + +## Class Diagram + +```mermaid +--- +title: ToolResult +config: + look: handDrawn + theme: colorful + class: + hideEmptyMembersBox: true +--- +classDiagram + class ToolResult { + + +ContentPart[] parts + } + class ContentPart { + +string kind + } + ToolResult *-- ContentPart +``` + +## Yaml Example + +```yaml +parts: + - kind: text + value: 72°F and sunny +``` + +## Properties + +| Name | Type | Description | +| ---- | ---- | ----------- | +| parts | [ContentPart[]](../contentpart/) | The content parts of the tool result(Related Types: [TextPart](../textpart/), [ImagePart](../imagepart/), [FilePart](../filepart/), [AudioPart](../audiopart/)) | + +## Composed Types + +The following types are composed within `ToolResult`: + +- [ContentPart](../contentpart/) diff --git a/web/src/content/docs/reference/index.md b/web/src/content/docs/reference/index.md index fa0f9eb9..a4f1dd41 100644 --- a/web/src/content/docs/reference/index.md +++ b/web/src/content/docs/reference/index.md @@ -1,6 +1,7 @@ --- title: "AgentSchema" description: "Overview of declarative agent types in AgentSchema." +slug: "reference/index" sidebar: order: 1 --- @@ -153,7 +154,6 @@ classDiagram +string kind +string path - +string mode } class FormatConfig { @@ -184,6 +184,90 @@ classDiagram +Template template +string instructions } + class ContentPart { + <> + +string kind + } + class TextPart { + + +string kind + +string value + } + class ImagePart { + + +string kind + +string source + +string detail + +string mediaType + } + class FilePart { + + +string kind + +string source + +string mediaType + } + class AudioPart { + + +string kind + +string source + +string mediaType + } + class Message { + + +string role + +ContentPart[] parts + +dictionary metadata + } + class ToolCall { + + +string id + +string name + +string arguments + } + class ToolResult { + + +ContentPart[] parts + } + class StreamChunk { + <> + +string kind + } + class TextChunk { + + +string kind + +string value + } + class ThinkingChunk { + + +string kind + +string value + } + class ToolChunk { + + +string kind + +ToolCall toolCall + } + class ErrorChunk { + + +string kind + +string message + } + class GuardrailResult { + + +boolean allowed + +string reason + +unknown rewrite + } + class ModelInfo { + + +string id + +string displayName + +string ownedBy + +int32 contextWindow + +string[] inputModalities + +string[] outputModalities + +dictionary additionalProperties + } Property <|-- ArrayProperty Property <|-- ObjectProperty Connection <|-- ReferenceConnection @@ -197,6 +281,14 @@ classDiagram Tool <|-- McpTool Tool <|-- OpenApiTool Tool <|-- PromptyTool + ContentPart <|-- TextPart + ContentPart <|-- ImagePart + ContentPart <|-- FilePart + ContentPart <|-- AudioPart + StreamChunk <|-- TextChunk + StreamChunk <|-- ThinkingChunk + StreamChunk <|-- ToolChunk + StreamChunk <|-- ErrorChunk ObjectProperty *-- Property ArrayProperty *-- Property Model *-- Connection @@ -214,4 +306,7 @@ classDiagram Prompty *-- Model Prompty *-- Tool Prompty *-- Template + Message *-- ContentPart + ToolResult *-- ContentPart + ToolChunk *-- ToolCall ``` From 2a205de8f0618fe77d66182f1b4e3acd7115c7b3 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 11:36:47 -0700 Subject: [PATCH 02/85] =?UTF-8?q?fix:=20emitter=20bugs=20=E2=80=94=20Pytho?= =?UTF-8?q?n=20save=5Fparts=20serialization,=20test=20string=20escaping,?= =?UTF-8?q?=20stale=20Rust=20tests?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Three emitter bugs fixed: 1. Python save_parts serialization: Collections of types without a 'name' property (ContentPart[], StreamChunk[]) were incorrectly using object-format serialization, causing roundtrip failures. Added hasNameProperty guard to save methods in Python template (matching existing TS/C# behavior). 2. Test string escaping: Python and C# escapeString were no-ops, causing syntax errors in generated tests when @sample values contained double quotes (e.g., ToolCall.arguments with JSON). Now properly escape backslashes and quotes. 3. Stale Rust test files: Polymorphic child types (PromptyTool, FunctionTool, etc.) no longer get individual test files (tested via parent's enum), but old generated files persisted on disk. Deleted 13 stale files. Also fixed load_vectors.rs to remove reference to deleted PromptyTool.mode field. Test results: Python 254/254, TypeScript 334/334, Rust 549/549. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../prompty/.venv_new/Scripts/Activate.ps1 | 502 ++++++++++++++++++ .../python/prompty/.venv_new/Scripts/activate | 63 +++ .../prompty/.venv_new/Scripts/activate.bat | 34 ++ .../.venv_new/Scripts/coverage-3.11.exe | Bin 0 -> 108508 bytes .../prompty/.venv_new/Scripts/coverage.exe | Bin 0 -> 108486 bytes .../prompty/.venv_new/Scripts/coverage3.exe | Bin 0 -> 108508 bytes .../prompty/.venv_new/Scripts/deactivate.bat | 22 + .../prompty/.venv_new/Scripts/dotenv.exe | Bin 0 -> 108483 bytes .../python/prompty/.venv_new/Scripts/pip.exe | Bin 0 -> 108492 bytes .../prompty/.venv_new/Scripts/pip3.11.exe | Bin 0 -> 108492 bytes .../python/prompty/.venv_new/Scripts/pip3.exe | Bin 0 -> 108492 bytes .../prompty/.venv_new/Scripts/py.test.exe | Bin 0 -> 108492 bytes .../prompty/.venv_new/Scripts/pygmentize.exe | Bin 0 -> 108486 bytes .../prompty/.venv_new/Scripts/pytest.exe | Bin 0 -> 108492 bytes .../prompty/.venv_new/Scripts/python.exe | Bin 0 -> 274712 bytes .../prompty/.venv_new/Scripts/pythonw.exe | Bin 0 -> 263448 bytes .../python/prompty/.venv_new/Scripts/ruff.exe | Bin 0 -> 32193536 bytes runtime/python/prompty/.venv_new/pyvenv.cfg | 5 + .../python/prompty/prompty/model/_Binding.py | 13 +- .../prompty/prompty/model/_Connection.py | 85 ++- .../prompty/prompty/model/_ContentPart.py | 63 ++- .../prompty/prompty/model/_FormatConfig.py | 17 +- .../prompty/prompty/model/_GuardrailResult.py | 17 +- .../prompty/prompty/model/_McpApprovalMode.py | 13 +- .../python/prompty/prompty/model/_Message.py | 44 +- .../python/prompty/prompty/model/_Model.py | 23 +- .../prompty/prompty/model/_ModelInfo.py | 21 +- .../prompty/prompty/model/_ModelOptions.py | 31 +- .../prompty/prompty/model/_ParserConfig.py | 15 +- .../python/prompty/prompty/model/_Prompty.py | 62 +-- .../python/prompty/prompty/model/_Property.py | 70 +-- .../prompty/prompty/model/_StreamChunk.py | 55 +- .../python/prompty/prompty/model/_Template.py | 13 +- runtime/python/prompty/prompty/model/_Tool.py | 106 ++-- .../python/prompty/prompty/model/_ToolCall.py | 13 +- .../prompty/prompty/model/_ToolResult.py | 42 +- .../python/prompty/prompty/model/__init__.py | 93 +--- .../python/prompty/prompty/model/_context.py | 11 +- .../tests/model/test_anonymous_connection.py | 1 + .../tests/model/test_api_key_connection.py | 1 + .../tests/model/test_array_property.py | 1 + .../prompty/tests/model/test_audio_part.py | 1 + .../prompty/tests/model/test_binding.py | 1 + .../prompty/tests/model/test_connection.py | 1 + .../prompty/tests/model/test_content_part.py | 1 - .../prompty/tests/model/test_custom_tool.py | 1 + .../prompty/tests/model/test_error_chunk.py | 1 + .../prompty/tests/model/test_file_part.py | 1 + .../prompty/tests/model/test_format_config.py | 1 + .../tests/model/test_foundry_connection.py | 1 + .../prompty/tests/model/test_function_tool.py | 1 + .../tests/model/test_guardrail_result.py | 1 + .../prompty/tests/model/test_image_part.py | 1 + .../tests/model/test_mcp_approval_mode.py | 1 + .../prompty/tests/model/test_mcp_tool.py | 1 + .../prompty/tests/model/test_message.py | 1 + .../python/prompty/tests/model/test_model.py | 1 + .../prompty/tests/model/test_model_info.py | 1 + .../prompty/tests/model/test_model_options.py | 1 + .../tests/model/test_o_auth_connection.py | 1 + .../tests/model/test_object_property.py | 1 + .../prompty/tests/model/test_open_api_tool.py | 1 + .../prompty/tests/model/test_parser_config.py | 1 + .../prompty/tests/model/test_prompty.py | 1 + .../prompty/tests/model/test_prompty_tool.py | 1 + .../prompty/tests/model/test_property.py | 1 + .../tests/model/test_reference_connection.py | 1 + .../tests/model/test_remote_connection.py | 1 + .../prompty/tests/model/test_stream_chunk.py | 1 - .../prompty/tests/model/test_template.py | 1 + .../prompty/tests/model/test_text_chunk.py | 1 + .../prompty/tests/model/test_text_part.py | 1 + .../tests/model/test_thinking_chunk.py | 1 + .../python/prompty/tests/model/test_tool.py | 1 + .../prompty/tests/model/test_tool_call.py | 7 +- .../prompty/tests/model/test_tool_chunk.py | 1 + .../prompty/tests/model/test_tool_result.py | 1 + runtime/rust/prompty/tests/load_vectors.rs | 5 +- .../tests/model/anonymous_connection_test.rs | 53 -- .../tests/model/api_key_connection_test.rs | 58 -- .../tests/model/array_property_test.rs | 53 -- .../prompty/tests/model/custom_tool_test.rs | 64 --- .../tests/model/foundry_connection_test.rs | 65 --- .../prompty/tests/model/function_tool_test.rs | 182 ------- .../rust/prompty/tests/model/mcp_tool_test.rs | 86 --- .../tests/model/o_auth_connection_test.rs | 76 --- .../tests/model/object_property_test.rs | 66 --- .../prompty/tests/model/open_api_tool_test.rs | 61 --- .../prompty/tests/model/prompty_tool_test.rs | 58 -- .../tests/model/reference_connection_test.rs | 59 -- .../tests/model/remote_connection_test.rs | 58 -- schema/emitter/src/go.ts | 6 +- schema/emitter/src/python.ts | 3 +- schema/emitter/src/rust.ts | 6 +- .../emitter/src/templates/python/file.py.njk | 5 + schema/emitter/src/test-context.ts | 4 +- 96 files changed, 1003 insertions(+), 1443 deletions(-) create mode 100644 runtime/python/prompty/.venv_new/Scripts/Activate.ps1 create mode 100644 runtime/python/prompty/.venv_new/Scripts/activate create mode 100644 runtime/python/prompty/.venv_new/Scripts/activate.bat create mode 100644 runtime/python/prompty/.venv_new/Scripts/coverage-3.11.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/coverage.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/coverage3.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/deactivate.bat create mode 100644 runtime/python/prompty/.venv_new/Scripts/dotenv.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/pip.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/pip3.11.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/pip3.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/py.test.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/pygmentize.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/pytest.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/python.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/pythonw.exe create mode 100644 runtime/python/prompty/.venv_new/Scripts/ruff.exe create mode 100644 runtime/python/prompty/.venv_new/pyvenv.cfg delete mode 100644 runtime/rust/prompty/tests/model/anonymous_connection_test.rs delete mode 100644 runtime/rust/prompty/tests/model/api_key_connection_test.rs delete mode 100644 runtime/rust/prompty/tests/model/array_property_test.rs delete mode 100644 runtime/rust/prompty/tests/model/custom_tool_test.rs delete mode 100644 runtime/rust/prompty/tests/model/foundry_connection_test.rs delete mode 100644 runtime/rust/prompty/tests/model/function_tool_test.rs delete mode 100644 runtime/rust/prompty/tests/model/mcp_tool_test.rs delete mode 100644 runtime/rust/prompty/tests/model/o_auth_connection_test.rs delete mode 100644 runtime/rust/prompty/tests/model/object_property_test.rs delete mode 100644 runtime/rust/prompty/tests/model/open_api_tool_test.rs delete mode 100644 runtime/rust/prompty/tests/model/prompty_tool_test.rs delete mode 100644 runtime/rust/prompty/tests/model/reference_connection_test.rs delete mode 100644 runtime/rust/prompty/tests/model/remote_connection_test.rs diff --git a/runtime/python/prompty/.venv_new/Scripts/Activate.ps1 b/runtime/python/prompty/.venv_new/Scripts/Activate.ps1 new file mode 100644 index 00000000..dbbf985c --- /dev/null +++ b/runtime/python/prompty/.venv_new/Scripts/Activate.ps1 @@ -0,0 +1,502 @@ +<# +.Synopsis +Activate a Python virtual environment for the current PowerShell session. + +.Description +Pushes the python executable for a virtual environment to the front of the +$Env:PATH environment variable and sets the prompt to signify that you are +in a Python virtual environment. Makes use of the command line switches as +well as the `pyvenv.cfg` file values present in the virtual environment. + +.Parameter VenvDir +Path to the directory that contains the virtual environment to activate. The +default value for this is the parent of the directory that the Activate.ps1 +script is located within. + +.Parameter Prompt +The prompt prefix to display when this virtual environment is activated. By +default, this prompt is the name of the virtual environment folder (VenvDir) +surrounded by parentheses and followed by a single space (ie. '(.venv) '). + +.Example +Activate.ps1 +Activates the Python virtual environment that contains the Activate.ps1 script. + +.Example +Activate.ps1 -Verbose +Activates the Python virtual environment that contains the Activate.ps1 script, +and shows extra information about the activation as it executes. + +.Example +Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv +Activates the Python virtual environment located in the specified location. + +.Example +Activate.ps1 -Prompt "MyPython" +Activates the Python virtual environment that contains the Activate.ps1 script, +and prefixes the current prompt with the specified string (surrounded in +parentheses) while the virtual environment is active. + +.Notes +On Windows, it may be required to enable this Activate.ps1 script by setting the +execution policy for the user. You can do this by issuing the following PowerShell +command: + +PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser + +For more information on Execution Policies: +https://go.microsoft.com/fwlink/?LinkID=135170 + +#> +Param( + [Parameter(Mandatory = $false)] + [String] + $VenvDir, + [Parameter(Mandatory = $false)] + [String] + $Prompt +) + +<# Function declarations --------------------------------------------------- #> + +<# +.Synopsis +Remove all shell session elements added by the Activate script, including the +addition of the virtual environment's Python executable from the beginning of +the PATH variable. + +.Parameter NonDestructive +If present, do not remove this function from the global namespace for the +session. + +#> +function global:deactivate ([switch]$NonDestructive) { + # Revert to original values + + # The prior prompt: + if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) { + Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt + Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT + } + + # The prior PYTHONHOME: + if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) { + Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME + Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME + } + + # The prior PATH: + if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) { + Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH + Remove-Item -Path Env:_OLD_VIRTUAL_PATH + } + + # Just remove the VIRTUAL_ENV altogether: + if (Test-Path -Path Env:VIRTUAL_ENV) { + Remove-Item -Path env:VIRTUAL_ENV + } + + # Just remove VIRTUAL_ENV_PROMPT altogether. + if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) { + Remove-Item -Path env:VIRTUAL_ENV_PROMPT + } + + # Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether: + if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) { + Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force + } + + # Leave deactivate function in the global namespace if requested: + if (-not $NonDestructive) { + Remove-Item -Path function:deactivate + } +} + +<# +.Description +Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the +given folder, and returns them in a map. + +For each line in the pyvenv.cfg file, if that line can be parsed into exactly +two strings separated by `=` (with any amount of whitespace surrounding the =) +then it is considered a `key = value` line. The left hand string is the key, +the right hand is the value. + +If the value starts with a `'` or a `"` then the first and last character is +stripped from the value before being captured. + +.Parameter ConfigDir +Path to the directory that contains the `pyvenv.cfg` file. +#> +function Get-PyVenvConfig( + [String] + $ConfigDir +) { + Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg" + + # Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue). + $pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue + + # An empty map will be returned if no config file is found. + $pyvenvConfig = @{ } + + if ($pyvenvConfigPath) { + + Write-Verbose "File exists, parse `key = value` lines" + $pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath + + $pyvenvConfigContent | ForEach-Object { + $keyval = $PSItem -split "\s*=\s*", 2 + if ($keyval[0] -and $keyval[1]) { + $val = $keyval[1] + + # Remove extraneous quotations around a string value. + if ("'""".Contains($val.Substring(0, 1))) { + $val = $val.Substring(1, $val.Length - 2) + } + + $pyvenvConfig[$keyval[0]] = $val + Write-Verbose "Adding Key: '$($keyval[0])'='$val'" + } + } + } + return $pyvenvConfig +} + + +<# Begin Activate script --------------------------------------------------- #> + +# Determine the containing directory of this script +$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition +$VenvExecDir = Get-Item -Path $VenvExecPath + +Write-Verbose "Activation script is located in path: '$VenvExecPath'" +Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)" +Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)" + +# Set values required in priority: CmdLine, ConfigFile, Default +# First, get the location of the virtual environment, it might not be +# VenvExecDir if specified on the command line. +if ($VenvDir) { + Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values" +} +else { + Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir." + $VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/") + Write-Verbose "VenvDir=$VenvDir" +} + +# Next, read the `pyvenv.cfg` file to determine any required value such +# as `prompt`. +$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir + +# Next, set the prompt from the command line, or the config file, or +# just use the name of the virtual environment folder. +if ($Prompt) { + Write-Verbose "Prompt specified as argument, using '$Prompt'" +} +else { + Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value" + if ($pyvenvCfg -and $pyvenvCfg['prompt']) { + Write-Verbose " Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'" + $Prompt = $pyvenvCfg['prompt']; + } + else { + Write-Verbose " Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)" + Write-Verbose " Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'" + $Prompt = Split-Path -Path $venvDir -Leaf + } +} + +Write-Verbose "Prompt = '$Prompt'" +Write-Verbose "VenvDir='$VenvDir'" + +# Deactivate any currently active virtual environment, but leave the +# deactivate function in place. +deactivate -nondestructive + +# Now set the environment variable VIRTUAL_ENV, used by many tools to determine +# that there is an activated venv. +$env:VIRTUAL_ENV = $VenvDir + +if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) { + + Write-Verbose "Setting prompt to '$Prompt'" + + # Set the prompt to include the env name + # Make sure _OLD_VIRTUAL_PROMPT is global + function global:_OLD_VIRTUAL_PROMPT { "" } + Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT + New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt + + function global:prompt { + Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) " + _OLD_VIRTUAL_PROMPT + } + $env:VIRTUAL_ENV_PROMPT = $Prompt +} + +# Clear PYTHONHOME +if (Test-Path -Path Env:PYTHONHOME) { + Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME + Remove-Item -Path Env:PYTHONHOME +} + +# Add the venv to the PATH +Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH +$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH" + +# SIG # Begin signature block +# MIIvIwYJKoZIhvcNAQcCoIIvFDCCLxACAQExDzANBglghkgBZQMEAgEFADB5Bgor +# BgEEAYI3AgEEoGswaTA0BgorBgEEAYI3AgEeMCYCAwEAAAQQH8w7YFlLCE63JNLG +# KX7zUQIBAAIBAAIBAAIBAAIBADAxMA0GCWCGSAFlAwQCAQUABCBnL745ElCYk8vk +# dBtMuQhLeWJ3ZGfzKW4DHCYzAn+QB6CCE8MwggWQMIIDeKADAgECAhAFmxtXno4h +# MuI5B72nd3VcMA0GCSqGSIb3DQEBDAUAMGIxCzAJBgNVBAYTAlVTMRUwEwYDVQQK +# EwxEaWdpQ2VydCBJbmMxGTAXBgNVBAsTEHd3dy5kaWdpY2VydC5jb20xITAfBgNV 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PATH="${_OLD_VIRTUAL_PATH:-}" + export PATH + unset _OLD_VIRTUAL_PATH + fi + if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then + PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}" + export PYTHONHOME + unset _OLD_VIRTUAL_PYTHONHOME + fi + + # Call hash to forget past commands. Without forgetting + # past commands the $PATH changes we made may not be respected + hash -r 2> /dev/null + + if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then + PS1="${_OLD_VIRTUAL_PS1:-}" + export PS1 + unset _OLD_VIRTUAL_PS1 + fi + + unset VIRTUAL_ENV + unset VIRTUAL_ENV_PROMPT + if [ ! "${1:-}" = "nondestructive" ] ; then + # Self destruct! + unset -f deactivate + fi +} + +# unset irrelevant variables +deactivate nondestructive + +VIRTUAL_ENV="C:\Users\sejuare\.copilot\copilot-worktrees\prompty\sethjuarez-unsalivated-sharan\runtime\python\prompty\.venv_new" +export VIRTUAL_ENV + +_OLD_VIRTUAL_PATH="$PATH" +PATH="$VIRTUAL_ENV/Scripts:$PATH" +export PATH + +# unset PYTHONHOME if set +# this will fail if PYTHONHOME is set to the empty string (which is bad anyway) +# could use `if (set -u; : $PYTHONHOME) ;` in bash +if [ -n "${PYTHONHOME:-}" ] ; then + _OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}" + unset PYTHONHOME +fi + +if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then + _OLD_VIRTUAL_PS1="${PS1:-}" + PS1="(.venv_new) ${PS1:-}" + export PS1 + VIRTUAL_ENV_PROMPT="(.venv_new) " + export VIRTUAL_ENV_PROMPT +fi + +# Call hash to forget past commands. Without forgetting +# past commands the $PATH changes we made may not be respected +hash -r 2> /dev/null diff --git a/runtime/python/prompty/.venv_new/Scripts/activate.bat b/runtime/python/prompty/.venv_new/Scripts/activate.bat new file mode 100644 index 00000000..c0a74052 --- /dev/null +++ b/runtime/python/prompty/.venv_new/Scripts/activate.bat @@ -0,0 +1,34 @@ +@echo off + +rem This file is UTF-8 encoded, so we need to update the current code page while executing it +for /f "tokens=2 delims=:." %%a in ('"%SystemRoot%\System32\chcp.com"') do ( + set _OLD_CODEPAGE=%%a +) +if defined _OLD_CODEPAGE ( + "%SystemRoot%\System32\chcp.com" 65001 > nul +) + +set VIRTUAL_ENV=C:\Users\sejuare\.copilot\copilot-worktrees\prompty\sethjuarez-unsalivated-sharan\runtime\python\prompty\.venv_new + +if not defined PROMPT set PROMPT=$P$G + +if defined _OLD_VIRTUAL_PROMPT set PROMPT=%_OLD_VIRTUAL_PROMPT% +if defined _OLD_VIRTUAL_PYTHONHOME set PYTHONHOME=%_OLD_VIRTUAL_PYTHONHOME% + +set 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b/runtime/python/prompty/.venv_new/Scripts/deactivate.bat @@ -0,0 +1,22 @@ +@echo off + +if defined _OLD_VIRTUAL_PROMPT ( + set "PROMPT=%_OLD_VIRTUAL_PROMPT%" +) +set _OLD_VIRTUAL_PROMPT= + +if defined _OLD_VIRTUAL_PYTHONHOME ( + set "PYTHONHOME=%_OLD_VIRTUAL_PYTHONHOME%" + set _OLD_VIRTUAL_PYTHONHOME= +) + +if defined _OLD_VIRTUAL_PATH ( + set "PATH=%_OLD_VIRTUAL_PATH%" +) + +set _OLD_VIRTUAL_PATH= + +set VIRTUAL_ENV= +set VIRTUAL_ENV_PROMPT= + +:END diff --git a/runtime/python/prompty/.venv_new/Scripts/dotenv.exe b/runtime/python/prompty/.venv_new/Scripts/dotenv.exe new file mode 100644 index 0000000000000000000000000000000000000000..9f220fd47051563f3f3b75ea5187eac10de704b3 GIT binary patch literal 108483 zcmeFadw5jU)%ZWjWXKQ_P7p@IO-Bic#!G0tBo5RJ%;*`JC{}2xf}+8Qib}(bU_}i* zNt@v~ed)#4zP;$%+PC)dzP-K@u*HN(5-vi(8(ykWyqs}B0W}HN^ZTrQW|Da6`@GNh z?;nrOIeVXdS$plZ*IsMwwRUQ*Tjz4ST&_I+w{4fJg{Suk zDk#k~{i~yk?|JX1Bd28lkG=4tDesa#KJ3?1I@I&=Dc@7ibyGgz`N6)QPkD>ydq35t 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Args: data (Any): The data to load the instance from. @@ -62,7 +61,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "Binding": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the Binding instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -86,7 +85,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the Binding instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -98,7 +97,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the Binding instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_Connection.py b/runtime/python/prompty/prompty/model/_Connection.py index e87cb310..b6192635 100644 --- a/runtime/python/prompty/prompty/model/_Connection.py +++ b/runtime/python/prompty/prompty/model/_Connection.py @@ -6,12 +6,11 @@ from abc import ABC from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext - @dataclass class Connection(ABC): """Connection configuration for AI agents. @@ -28,14 +27,14 @@ class Connection(ABC): The usage description for the connection, providing context on how this connection will be used """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="") - authenticationMode: Optional[str] = None - usageDescription: Optional[str] = None + authenticationMode: str | None = None + usageDescription: str | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "Connection": + def load(data: Any, context: LoadContext | None = None) -> "Connection": """Load a Connection instance. Args: data (Any): The data to load the instance from. @@ -68,7 +67,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "Connection": @staticmethod - def load_kind(data: dict, context: Optional[LoadContext]) -> "Connection": + def load_kind(data: dict, context: LoadContext | None) -> "Connection": # load polymorphic Connection instance if data is not None and "kind" in data: discriminator_value = str(data["kind"]).lower() @@ -92,7 +91,7 @@ def load_kind(data: dict, context: Optional[LoadContext]) -> "Connection": raise ValueError("Missing Connection discriminator property: 'kind'") - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the Connection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -118,7 +117,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the Connection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -130,7 +129,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the Connection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -158,14 +157,14 @@ class ReferenceConnection(Connection): The target resource or service that this connection refers to """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="reference") name: str = field(default="") - target: Optional[str] = None + target: str | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ReferenceConnection": + def load(data: Any, context: LoadContext | None = None) -> "ReferenceConnection": """Load a ReferenceConnection instance. Args: data (Any): The data to load the instance from. @@ -196,7 +195,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ReferenceConnecti - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ReferenceConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -222,7 +221,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ReferenceConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -234,7 +233,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ReferenceConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -262,14 +261,14 @@ class RemoteConnection(Connection): The endpoint URL for the AI service """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="remote") name: str = field(default="") endpoint: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "RemoteConnection": + def load(data: Any, context: LoadContext | None = None) -> "RemoteConnection": """Load a RemoteConnection instance. Args: data (Any): The data to load the instance from. @@ -300,7 +299,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "RemoteConnection" - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the RemoteConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -326,7 +325,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the RemoteConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -338,7 +337,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the RemoteConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -366,14 +365,14 @@ class ApiKeyConnection(Connection): The API key for authenticating with the AI service """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="key") endpoint: str = field(default="") apiKey: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ApiKeyConnection": + def load(data: Any, context: LoadContext | None = None) -> "ApiKeyConnection": """Load a ApiKeyConnection instance. Args: data (Any): The data to load the instance from. @@ -404,7 +403,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ApiKeyConnection" - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ApiKeyConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -430,7 +429,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ApiKeyConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -442,7 +441,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ApiKeyConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -468,13 +467,13 @@ class AnonymousConnection(Connection): The endpoint for authenticating with the AI service """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="anonymous") endpoint: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "AnonymousConnection": + def load(data: Any, context: LoadContext | None = None) -> "AnonymousConnection": """Load a AnonymousConnection instance. Args: data (Any): The data to load the instance from. @@ -503,7 +502,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "AnonymousConnecti - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the AnonymousConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -527,7 +526,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the AnonymousConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -539,7 +538,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the AnonymousConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -571,15 +570,15 @@ class FoundryConnection(Connection): The connection type within the Foundry project (e.g., 'model', 'index', 'storage') """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="foundry") endpoint: str = field(default="") - name: Optional[str] = None - connectionType: Optional[str] = None + name: str | None = None + connectionType: str | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "FoundryConnection": + def load(data: Any, context: LoadContext | None = None) -> "FoundryConnection": """Load a FoundryConnection instance. Args: data (Any): The data to load the instance from. @@ -612,7 +611,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "FoundryConnection - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the FoundryConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -640,7 +639,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the FoundryConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -652,7 +651,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the FoundryConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -688,7 +687,7 @@ class OAuthConnection(Connection): OAuth scopes to request """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="oauth") endpoint: str = field(default="") @@ -698,7 +697,7 @@ class OAuthConnection(Connection): scopes: list[str] = field(default_factory=list) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "OAuthConnection": + def load(data: Any, context: LoadContext | None = None) -> "OAuthConnection": """Load a OAuthConnection instance. Args: data (Any): The data to load the instance from. @@ -735,7 +734,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "OAuthConnection": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the OAuthConnection instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -767,7 +766,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the OAuthConnection instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -779,7 +778,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the OAuthConnection instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_ContentPart.py b/runtime/python/prompty/prompty/model/_ContentPart.py index 4ffd5906..6db39e63 100644 --- a/runtime/python/prompty/prompty/model/_ContentPart.py +++ b/runtime/python/prompty/prompty/model/_ContentPart.py @@ -6,12 +6,11 @@ from abc import ABC from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext - @dataclass class ContentPart(ABC): """A part of a message's content. Content parts are discriminated on the `kind` @@ -23,12 +22,12 @@ class ContentPart(ABC): The kind of content part """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ContentPart": + def load(data: Any, context: LoadContext | None = None) -> "ContentPart": """Load a ContentPart instance. Args: data (Any): The data to load the instance from. @@ -57,7 +56,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ContentPart": @staticmethod - def load_kind(data: dict, context: Optional[LoadContext]) -> "ContentPart": + def load_kind(data: dict, context: LoadContext | None) -> "ContentPart": # load polymorphic ContentPart instance if data is not None and "kind" in data: discriminator_value = str(data["kind"]).lower() @@ -77,7 +76,7 @@ def load_kind(data: dict, context: Optional[LoadContext]) -> "ContentPart": raise ValueError("Missing ContentPart discriminator property: 'kind'") - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ContentPart instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -99,7 +98,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ContentPart instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -111,7 +110,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ContentPart instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -137,13 +136,13 @@ class TextPart(ContentPart): The text content """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="text") value: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "TextPart": + def load(data: Any, context: LoadContext | None = None) -> "TextPart": """Load a TextPart instance. Args: data (Any): The data to load the instance from. @@ -172,7 +171,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "TextPart": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the TextPart instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -196,7 +195,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the TextPart instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -208,7 +207,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the TextPart instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -238,15 +237,15 @@ class ImagePart(ContentPart): MIME type of the image (e.g., 'image/png') """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="image") source: str = field(default="") - detail: Optional[str] = None - mediaType: Optional[str] = None + detail: str | None = None + mediaType: str | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ImagePart": + def load(data: Any, context: LoadContext | None = None) -> "ImagePart": """Load a ImagePart instance. Args: data (Any): The data to load the instance from. @@ -279,7 +278,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ImagePart": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ImagePart instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -307,7 +306,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ImagePart instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -319,7 +318,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ImagePart instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -347,14 +346,14 @@ class FilePart(ContentPart): MIME type of the file (e.g., 'application/pdf') """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="file") source: str = field(default="") - mediaType: Optional[str] = None + mediaType: str | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "FilePart": + def load(data: Any, context: LoadContext | None = None) -> "FilePart": """Load a FilePart instance. Args: data (Any): The data to load the instance from. @@ -385,7 +384,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "FilePart": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the FilePart instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -411,7 +410,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the FilePart instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -423,7 +422,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the FilePart instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -451,14 +450,14 @@ class AudioPart(ContentPart): MIME type of the audio (e.g., 'audio/wav') """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="audio") source: str = field(default="") - mediaType: Optional[str] = None + mediaType: str | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "AudioPart": + def load(data: Any, context: LoadContext | None = None) -> "AudioPart": """Load a AudioPart instance. Args: data (Any): The data to load the instance from. @@ -489,7 +488,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "AudioPart": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the AudioPart instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -515,7 +514,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the AudioPart instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -527,7 +526,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the AudioPart instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_FormatConfig.py b/runtime/python/prompty/prompty/model/_FormatConfig.py index 1a00243a..c92999bc 100644 --- a/runtime/python/prompty/prompty/model/_FormatConfig.py +++ b/runtime/python/prompty/prompty/model/_FormatConfig.py @@ -5,12 +5,11 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext - @dataclass class FormatConfig: """Template format definition @@ -25,14 +24,14 @@ class FormatConfig: Options for the template engine """ - _shorthand_property: ClassVar[Optional[str]] = "kind" + _shorthand_property: ClassVar[str | None] = "kind" kind: str = field(default="*") - strict: Optional[bool] = None - options: Optional[dict[str, Any]] = None + strict: bool | None = None + options: dict[str, Any] | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "FormatConfig": + def load(data: Any, context: LoadContext | None = None) -> "FormatConfig": """Load a FormatConfig instance. Args: data (Any): The data to load the instance from. @@ -67,7 +66,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "FormatConfig": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the FormatConfig instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -93,7 +92,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the FormatConfig instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -105,7 +104,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the FormatConfig instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_GuardrailResult.py b/runtime/python/prompty/prompty/model/_GuardrailResult.py index dce8520b..ee2aaa9a 100644 --- a/runtime/python/prompty/prompty/model/_GuardrailResult.py +++ b/runtime/python/prompty/prompty/model/_GuardrailResult.py @@ -5,12 +5,11 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext - @dataclass class GuardrailResult: """The result of a guardrail evaluation. Guardrails are safety checks that @@ -27,14 +26,14 @@ class GuardrailResult: Optional rewritten content to replace the original """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None allowed: bool = field(default=False) - reason: Optional[str] = None - rewrite: Optional[Any] = None + reason: str | None = None + rewrite: Any | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "GuardrailResult": + def load(data: Any, context: LoadContext | None = None) -> "GuardrailResult": """Load a GuardrailResult instance. Args: data (Any): The data to load the instance from. @@ -65,7 +64,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "GuardrailResult": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the GuardrailResult instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -91,7 +90,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the GuardrailResult instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -103,7 +102,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the GuardrailResult instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_McpApprovalMode.py b/runtime/python/prompty/prompty/model/_McpApprovalMode.py index 2b1ab83b..4afde5a1 100644 --- a/runtime/python/prompty/prompty/model/_McpApprovalMode.py +++ b/runtime/python/prompty/prompty/model/_McpApprovalMode.py @@ -5,12 +5,11 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext - @dataclass class McpApprovalMode: """The approval mode for MCP server tools. @@ -27,14 +26,14 @@ class McpApprovalMode: List of tools that never require approval (only used when kind is 'specify') """ - _shorthand_property: ClassVar[Optional[str]] = "kind" + _shorthand_property: ClassVar[str | None] = "kind" kind: str = field(default="") alwaysRequireApprovalTools: list[str] = field(default_factory=list) neverRequireApprovalTools: list[str] = field(default_factory=list) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "McpApprovalMode": + def load(data: Any, context: LoadContext | None = None) -> "McpApprovalMode": """Load a McpApprovalMode instance. Args: data (Any): The data to load the instance from. @@ -69,7 +68,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "McpApprovalMode": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the McpApprovalMode instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -95,7 +94,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the McpApprovalMode instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -107,7 +106,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the McpApprovalMode instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_Message.py b/runtime/python/prompty/prompty/model/_Message.py index 84e4457f..314c5b04 100644 --- a/runtime/python/prompty/prompty/model/_Message.py +++ b/runtime/python/prompty/prompty/model/_Message.py @@ -5,11 +5,10 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar -from ._context import LoadContext, SaveContext from ._ContentPart import ContentPart - +from ._context import LoadContext, SaveContext @dataclass @@ -27,14 +26,14 @@ class Message: Optional metadata associated with the message """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None role: str = field(default="") parts: list[ContentPart] = field(default_factory=list) - metadata: Optional[dict[str, Any]] = None + metadata: dict[str, Any] | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "Message": + def load(data: Any, context: LoadContext | None = None) -> "Message": """Load a Message instance. Args: data (Any): The data to load the instance from. @@ -65,7 +64,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "Message": @staticmethod - def load_parts(data: dict | list, context: Optional[LoadContext]) -> list[ContentPart]: + def load_parts(data: dict | list, context: LoadContext | None) -> list[ContentPart]: if isinstance(data, dict): # convert simple named parts to list of ContentPart result = [] @@ -80,35 +79,16 @@ def load_parts(data: dict | list, context: Optional[LoadContext]) -> list[Conten return [ContentPart.load(item, context) for item in data] @staticmethod - def save_parts(items: list[ContentPart], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + def save_parts(items: list[ContentPart], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() - if context.collection_format == "array": - return [item.save(context) for item in items] + # This type doesn't have a 'name' property, so always use array format + return [item.save(context) for item in items] - # Object format: use name as key - result: dict[str, Any] = {} - for item in items: - item_data = item.save(context) - name = item_data.pop("name", None) - if name: - # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, '_shorthand_property'): - shorthand_prop = item._shorthand_property - if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: - result[name] = item_data[shorthand_prop] - continue - result[name] = item_data - else: - # No name, fall back to array format for this item - if "_unnamed" not in result: - result["_unnamed"] = [] - result["_unnamed"].append(item_data) - return result - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the Message instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -134,7 +114,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the Message instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -146,7 +126,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the Message instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_Model.py b/runtime/python/prompty/prompty/model/_Model.py index 28f042b9..431bee5b 100644 --- a/runtime/python/prompty/prompty/model/_Model.py +++ b/runtime/python/prompty/prompty/model/_Model.py @@ -5,14 +5,13 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar -from ._context import LoadContext, SaveContext from ._Connection import Connection +from ._context import LoadContext, SaveContext from ._ModelOptions import ModelOptions - @dataclass class Model: """Model for defining the structure and behavior of AI agents. @@ -33,16 +32,16 @@ class Model: Additional options for the model """ - _shorthand_property: ClassVar[Optional[str]] = "id" + _shorthand_property: ClassVar[str | None] = "id" id: str = field(default="") - provider: Optional[str] = None - apiType: Optional[str] = None - connection: Optional[Connection] = None - options: Optional[ModelOptions] = None + provider: str | None = None + apiType: str | None = None + connection: Connection | None = None + options: ModelOptions | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "Model": + def load(data: Any, context: LoadContext | None = None) -> "Model": """Load a Model instance. Args: data (Any): The data to load the instance from. @@ -81,7 +80,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "Model": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the Model instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -111,7 +110,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the Model instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -123,7 +122,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the Model instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_ModelInfo.py b/runtime/python/prompty/prompty/model/_ModelInfo.py index a9d5bf22..a1c79556 100644 --- a/runtime/python/prompty/prompty/model/_ModelInfo.py +++ b/runtime/python/prompty/prompty/model/_ModelInfo.py @@ -5,12 +5,11 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext - @dataclass class ModelInfo: """Information about a model available from a provider. Used by provider-level @@ -38,18 +37,18 @@ class ModelInfo: Additional provider-specific properties """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None id: str = field(default="") - displayName: Optional[str] = None - ownedBy: Optional[str] = None - contextWindow: Optional[int] = None + displayName: str | None = None + ownedBy: str | None = None + contextWindow: int | None = None inputModalities: list[str] = field(default_factory=list) outputModalities: list[str] = field(default_factory=list) - additionalProperties: Optional[dict[str, Any]] = None + additionalProperties: dict[str, Any] | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ModelInfo": + def load(data: Any, context: LoadContext | None = None) -> "ModelInfo": """Load a ModelInfo instance. Args: data (Any): The data to load the instance from. @@ -88,7 +87,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ModelInfo": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ModelInfo instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -122,7 +121,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ModelInfo instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -134,7 +133,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ModelInfo instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_ModelOptions.py b/runtime/python/prompty/prompty/model/_ModelOptions.py index accbad39..01583188 100644 --- a/runtime/python/prompty/prompty/model/_ModelOptions.py +++ b/runtime/python/prompty/prompty/model/_ModelOptions.py @@ -5,12 +5,11 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext - @dataclass class ModelOptions: """Options for configuring the behavior of the AI model. @@ -39,21 +38,21 @@ class ModelOptions: Additional custom properties for model options """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None - frequencyPenalty: Optional[float] = None - maxOutputTokens: Optional[int] = None - presencePenalty: Optional[float] = None - seed: Optional[int] = None - temperature: Optional[float] = None - topK: Optional[int] = None - topP: Optional[float] = None + frequencyPenalty: float | None = None + maxOutputTokens: int | None = None + presencePenalty: float | None = None + seed: int | None = None + temperature: float | None = None + topK: int | None = None + topP: float | None = None stopSequences: list[str] = field(default_factory=list) - allowMultipleToolCalls: Optional[bool] = None - additionalProperties: Optional[dict[str, Any]] = None + allowMultipleToolCalls: bool | None = None + additionalProperties: dict[str, Any] | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ModelOptions": + def load(data: Any, context: LoadContext | None = None) -> "ModelOptions": """Load a ModelOptions instance. Args: data (Any): The data to load the instance from. @@ -98,7 +97,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ModelOptions": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ModelOptions instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -138,7 +137,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ModelOptions instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -150,7 +149,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ModelOptions instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_ParserConfig.py b/runtime/python/prompty/prompty/model/_ParserConfig.py index 60979115..2152f276 100644 --- a/runtime/python/prompty/prompty/model/_ParserConfig.py +++ b/runtime/python/prompty/prompty/model/_ParserConfig.py @@ -5,12 +5,11 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext - @dataclass class ParserConfig: """Template parser definition @@ -23,13 +22,13 @@ class ParserConfig: Options for the parser """ - _shorthand_property: ClassVar[Optional[str]] = "kind" + _shorthand_property: ClassVar[str | None] = "kind" kind: str = field(default="*") - options: Optional[dict[str, Any]] = None + options: dict[str, Any] | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ParserConfig": + def load(data: Any, context: LoadContext | None = None) -> "ParserConfig": """Load a ParserConfig instance. Args: data (Any): The data to load the instance from. @@ -62,7 +61,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ParserConfig": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ParserConfig instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -86,7 +85,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ParserConfig instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -98,7 +97,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ParserConfig instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_Prompty.py b/runtime/python/prompty/prompty/model/_Prompty.py index 81e550cd..9ac11cf3 100644 --- a/runtime/python/prompty/prompty/model/_Prompty.py +++ b/runtime/python/prompty/prompty/model/_Prompty.py @@ -5,7 +5,7 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext from ._Model import Model @@ -14,7 +14,6 @@ from ._Tool import Tool - @dataclass class Prompty: """A Prompty is a markdown file format for LLM prompts. The frontmatter defines @@ -48,21 +47,21 @@ class or kind discriminator. A .prompty file always produces a Prompty instance. Clear directions on what the prompt should do. In .prompty files, this comes from the markdown body. """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None name: str = field(default="") - displayName: Optional[str] = None - description: Optional[str] = None - metadata: Optional[dict[str, Any]] = None + displayName: str | None = None + description: str | None = None + metadata: dict[str, Any] | None = None inputs: list[Property] = field(default_factory=list) outputs: list[Property] = field(default_factory=list) model: Model = field(default_factory=Model) tools: list[Tool] = field(default_factory=list) - template: Optional[Template] = None - instructions: Optional[str] = None + template: Template | None = None + instructions: str | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "Prompty": + def load(data: Any, context: LoadContext | None = None) -> "Prompty": """Load a Prompty instance. Args: data (Any): The data to load the instance from. @@ -107,7 +106,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "Prompty": @staticmethod - def load_inputs(data: dict | list, context: Optional[LoadContext]) -> list[Property]: + def load_inputs(data: dict | list, context: LoadContext | None) -> list[Property]: if isinstance(data, dict): # convert simple named inputs to list of Property result = [] @@ -122,10 +121,11 @@ def load_inputs(data: dict | list, context: Optional[LoadContext]) -> list[Prope return [Property.load(item, context) for item in data] @staticmethod - def save_inputs(items: list[Property], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + def save_inputs(items: list[Property], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() + if context.collection_format == "array": return [item.save(context) for item in items] @@ -149,8 +149,9 @@ def save_inputs(items: list[Property], context: Optional[SaveContext]) -> dict[s result["_unnamed"].append(item_data) return result + @staticmethod - def load_outputs(data: dict | list, context: Optional[LoadContext]) -> list[Property]: + def load_outputs(data: dict | list, context: LoadContext | None) -> list[Property]: if isinstance(data, dict): # convert simple named outputs to list of Property result = [] @@ -165,35 +166,16 @@ def load_outputs(data: dict | list, context: Optional[LoadContext]) -> list[Prop return [Property.load(item, context) for item in data] @staticmethod - def save_outputs(items: list[Property], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + def save_outputs(items: list[Property], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() - if context.collection_format == "array": - return [item.save(context) for item in items] + # This type doesn't have a 'name' property, so always use array format + return [item.save(context) for item in items] - # Object format: use name as key - result: dict[str, Any] = {} - for item in items: - item_data = item.save(context) - name = item_data.pop("name", None) - if name: - # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, '_shorthand_property'): - shorthand_prop = item._shorthand_property - if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: - result[name] = item_data[shorthand_prop] - continue - result[name] = item_data - else: - # No name, fall back to array format for this item - if "_unnamed" not in result: - result["_unnamed"] = [] - result["_unnamed"].append(item_data) - return result @staticmethod - def load_tools(data: dict | list, context: Optional[LoadContext]) -> list[Tool]: + def load_tools(data: dict | list, context: LoadContext | None) -> list[Tool]: if isinstance(data, dict): # convert simple named tools to list of Tool result = [] @@ -208,10 +190,11 @@ def load_tools(data: dict | list, context: Optional[LoadContext]) -> list[Tool]: return [Tool.load(item, context) for item in data] @staticmethod - def save_tools(items: list[Tool], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + def save_tools(items: list[Tool], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() + if context.collection_format == "array": return [item.save(context) for item in items] @@ -236,7 +219,8 @@ def save_tools(items: list[Tool], context: Optional[SaveContext]) -> dict[str, A return result - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the Prompty instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -276,7 +260,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the Prompty instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -288,7 +272,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the Prompty instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_Property.py b/runtime/python/prompty/prompty/model/_Property.py index d1498a65..c4af353e 100644 --- a/runtime/python/prompty/prompty/model/_Property.py +++ b/runtime/python/prompty/prompty/model/_Property.py @@ -5,12 +5,11 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext - @dataclass class Property: """Represents a single property. @@ -38,18 +37,18 @@ class Property: Allowed enumeration values for the property """ - _shorthand_property: ClassVar[Optional[str]] = "example" + _shorthand_property: ClassVar[str | None] = "example" name: str = field(default="") kind: str = field(default="") - description: Optional[str] = None - required: Optional[bool] = None - default: Optional[Any] = None - example: Optional[Any] = None + description: str | None = None + required: bool | None = None + default: Any | None = None + example: Any | None = None enumValues: list[Any] = field(default_factory=list) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "Property": + def load(data: Any, context: LoadContext | None = None) -> "Property": """Load a Property instance. Args: data (Any): The data to load the instance from. @@ -100,7 +99,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "Property": @staticmethod - def load_kind(data: dict, context: Optional[LoadContext]) -> "Property": + def load_kind(data: dict, context: LoadContext | None) -> "Property": # load polymorphic Property instance if data is not None and "kind" in data: discriminator_value = str(data["kind"]).lower() @@ -120,7 +119,7 @@ def load_kind(data: dict, context: Optional[LoadContext]) -> "Property": # create new instance return Property() - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the Property instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -154,7 +153,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the Property instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -166,7 +165,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the Property instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -193,13 +192,13 @@ class ArrayProperty(Property): The type of items contained in the array """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="array") items: Property = field(default_factory=Property) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ArrayProperty": + def load(data: Any, context: LoadContext | None = None) -> "ArrayProperty": """Load a ArrayProperty instance. Args: data (Any): The data to load the instance from. @@ -228,7 +227,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ArrayProperty": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ArrayProperty instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -252,7 +251,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ArrayProperty instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -264,7 +263,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ArrayProperty instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -291,13 +290,13 @@ class ObjectProperty(Property): The properties contained in the object """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="object") properties: list[Property] = field(default_factory=list) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ObjectProperty": + def load(data: Any, context: LoadContext | None = None) -> "ObjectProperty": """Load a ObjectProperty instance. Args: data (Any): The data to load the instance from. @@ -326,7 +325,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ObjectProperty": @staticmethod - def load_properties(data: dict | list, context: Optional[LoadContext]) -> list[Property]: + def load_properties(data: dict | list, context: LoadContext | None) -> list[Property]: if isinstance(data, dict): # convert simple named properties to list of Property result = [] @@ -341,35 +340,16 @@ def load_properties(data: dict | list, context: Optional[LoadContext]) -> list[P return [Property.load(item, context) for item in data] @staticmethod - def save_properties(items: list[Property], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + def save_properties(items: list[Property], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() - if context.collection_format == "array": - return [item.save(context) for item in items] + # This type doesn't have a 'name' property, so always use array format + return [item.save(context) for item in items] - # Object format: use name as key - result: dict[str, Any] = {} - for item in items: - item_data = item.save(context) - name = item_data.pop("name", None) - if name: - # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, '_shorthand_property'): - shorthand_prop = item._shorthand_property - if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: - result[name] = item_data[shorthand_prop] - continue - result[name] = item_data - else: - # No name, fall back to array format for this item - if "_unnamed" not in result: - result["_unnamed"] = [] - result["_unnamed"].append(item_data) - return result - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ObjectProperty instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -393,7 +373,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ObjectProperty instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -405,7 +385,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ObjectProperty instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_StreamChunk.py b/runtime/python/prompty/prompty/model/_StreamChunk.py index c50b3be9..542b3487 100644 --- a/runtime/python/prompty/prompty/model/_StreamChunk.py +++ b/runtime/python/prompty/prompty/model/_StreamChunk.py @@ -6,13 +6,12 @@ from abc import ABC from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext from ._ToolCall import ToolCall - @dataclass class StreamChunk(ABC): """A chunk of data from a streaming LLM response. Stream chunks are @@ -24,12 +23,12 @@ class StreamChunk(ABC): The kind of stream chunk """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "StreamChunk": + def load(data: Any, context: LoadContext | None = None) -> "StreamChunk": """Load a StreamChunk instance. Args: data (Any): The data to load the instance from. @@ -58,7 +57,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "StreamChunk": @staticmethod - def load_kind(data: dict, context: Optional[LoadContext]) -> "StreamChunk": + def load_kind(data: dict, context: LoadContext | None) -> "StreamChunk": # load polymorphic StreamChunk instance if data is not None and "kind" in data: discriminator_value = str(data["kind"]).lower() @@ -78,7 +77,7 @@ def load_kind(data: dict, context: Optional[LoadContext]) -> "StreamChunk": raise ValueError("Missing StreamChunk discriminator property: 'kind'") - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the StreamChunk instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -100,7 +99,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the StreamChunk instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -112,7 +111,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the StreamChunk instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -138,13 +137,13 @@ class TextChunk(StreamChunk): The text content of the chunk """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="text") value: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "TextChunk": + def load(data: Any, context: LoadContext | None = None) -> "TextChunk": """Load a TextChunk instance. Args: data (Any): The data to load the instance from. @@ -173,7 +172,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "TextChunk": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the TextChunk instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -197,7 +196,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the TextChunk instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -209,7 +208,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the TextChunk instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -235,13 +234,13 @@ class ThinkingChunk(StreamChunk): The thinking content of the chunk """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="thinking") value: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ThinkingChunk": + def load(data: Any, context: LoadContext | None = None) -> "ThinkingChunk": """Load a ThinkingChunk instance. Args: data (Any): The data to load the instance from. @@ -270,7 +269,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ThinkingChunk": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ThinkingChunk instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -294,7 +293,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ThinkingChunk instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -306,7 +305,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ThinkingChunk instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -332,13 +331,13 @@ class ToolChunk(StreamChunk): The tool call data """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="tool") toolCall: ToolCall = field(default_factory=ToolCall) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ToolChunk": + def load(data: Any, context: LoadContext | None = None) -> "ToolChunk": """Load a ToolChunk instance. Args: data (Any): The data to load the instance from. @@ -367,7 +366,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ToolChunk": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ToolChunk instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -391,7 +390,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ToolChunk instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -403,7 +402,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ToolChunk instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -429,13 +428,13 @@ class ErrorChunk(StreamChunk): The error message """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="error") message: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ErrorChunk": + def load(data: Any, context: LoadContext | None = None) -> "ErrorChunk": """Load a ErrorChunk instance. Args: data (Any): The data to load the instance from. @@ -464,7 +463,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ErrorChunk": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ErrorChunk instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -488,7 +487,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ErrorChunk instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -500,7 +499,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ErrorChunk instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_Template.py b/runtime/python/prompty/prompty/model/_Template.py index 21420b56..dad53000 100644 --- a/runtime/python/prompty/prompty/model/_Template.py +++ b/runtime/python/prompty/prompty/model/_Template.py @@ -5,14 +5,13 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext from ._FormatConfig import FormatConfig from ._ParserConfig import ParserConfig - @dataclass class Template: """Template model for defining prompt templates. @@ -32,13 +31,13 @@ class Template: Parser used to process the rendered template into API-compatible format """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None format: FormatConfig = field(default_factory=FormatConfig) parser: ParserConfig = field(default_factory=ParserConfig) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "Template": + def load(data: Any, context: LoadContext | None = None) -> "Template": """Load a Template instance. Args: data (Any): The data to load the instance from. @@ -67,7 +66,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "Template": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the Template instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -91,7 +90,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the Template instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -103,7 +102,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the Template instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_Tool.py b/runtime/python/prompty/prompty/model/_Tool.py index ce4f9449..f07d0f5c 100644 --- a/runtime/python/prompty/prompty/model/_Tool.py +++ b/runtime/python/prompty/prompty/model/_Tool.py @@ -6,16 +6,15 @@ from abc import ABC from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar -from ._context import LoadContext, SaveContext from ._Binding import Binding from ._Connection import Connection +from ._context import LoadContext, SaveContext from ._McpApprovalMode import McpApprovalMode from ._Property import Property - @dataclass class Tool(ABC): """Represents a tool that can be used in prompts. @@ -32,15 +31,15 @@ class Tool(ABC): Tool argument bindings to input properties """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None name: str = field(default="") kind: str = field(default="") - description: Optional[str] = None + description: str | None = None bindings: list[Binding] = field(default_factory=list) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "Tool": + def load(data: Any, context: LoadContext | None = None) -> "Tool": """Load a Tool instance. Args: data (Any): The data to load the instance from. @@ -74,7 +73,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "Tool": @staticmethod - def load_bindings(data: dict | list, context: Optional[LoadContext]) -> list[Binding]: + def load_bindings(data: dict | list, context: LoadContext | None) -> list[Binding]: if isinstance(data, dict): # convert simple named bindings to list of Binding result = [] @@ -89,10 +88,11 @@ def load_bindings(data: dict | list, context: Optional[LoadContext]) -> list[Bin return [Binding.load(item, context) for item in data] @staticmethod - def save_bindings(items: list[Binding], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + def save_bindings(items: list[Binding], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() + if context.collection_format == "array": return [item.save(context) for item in items] @@ -117,8 +117,9 @@ def save_bindings(items: list[Binding], context: Optional[SaveContext]) -> dict[ return result + @staticmethod - def load_kind(data: dict, context: Optional[LoadContext]) -> "Tool": + def load_kind(data: dict, context: LoadContext | None) -> "Tool": # load polymorphic Tool instance if data is not None and "kind" in data: discriminator_value = str(data["kind"]).lower() @@ -141,7 +142,7 @@ def load_kind(data: dict, context: Optional[LoadContext]) -> "Tool": raise ValueError("Missing Tool discriminator property: 'kind'") - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the Tool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -169,7 +170,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the Tool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -181,7 +182,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the Tool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -209,14 +210,14 @@ class FunctionTool(Tool): Indicates whether the function tool enforces strict validation on its parameters """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="function") parameters: list[Property] = field(default_factory=list) - strict: Optional[bool] = None + strict: bool | None = None @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "FunctionTool": + def load(data: Any, context: LoadContext | None = None) -> "FunctionTool": """Load a FunctionTool instance. Args: data (Any): The data to load the instance from. @@ -247,7 +248,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "FunctionTool": @staticmethod - def load_parameters(data: dict | list, context: Optional[LoadContext]) -> list[Property]: + def load_parameters(data: dict | list, context: LoadContext | None) -> list[Property]: if isinstance(data, dict): # convert simple named parameters to list of Property result = [] @@ -262,35 +263,16 @@ def load_parameters(data: dict | list, context: Optional[LoadContext]) -> list[P return [Property.load(item, context) for item in data] @staticmethod - def save_parameters(items: list[Property], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + def save_parameters(items: list[Property], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() - if context.collection_format == "array": - return [item.save(context) for item in items] + # This type doesn't have a 'name' property, so always use array format + return [item.save(context) for item in items] - # Object format: use name as key - result: dict[str, Any] = {} - for item in items: - item_data = item.save(context) - name = item_data.pop("name", None) - if name: - # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, '_shorthand_property'): - shorthand_prop = item._shorthand_property - if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: - result[name] = item_data[shorthand_prop] - continue - result[name] = item_data - else: - # No name, fall back to array format for this item - if "_unnamed" not in result: - result["_unnamed"] = [] - result["_unnamed"].append(item_data) - return result - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the FunctionTool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -316,7 +298,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the FunctionTool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -328,7 +310,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the FunctionTool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -360,14 +342,14 @@ class CustomTool(Tool): Configuration options for the server tool """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="*") connection: Connection = field(default_factory=Connection) options: dict[str, Any] = field(default_factory=dict) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "CustomTool": + def load(data: Any, context: LoadContext | None = None) -> "CustomTool": """Load a CustomTool instance. Args: data (Any): The data to load the instance from. @@ -398,7 +380,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "CustomTool": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the CustomTool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -424,7 +406,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the CustomTool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -436,7 +418,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the CustomTool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -470,17 +452,17 @@ class McpTool(Tool): List of allowed operations or resources for the MCP tool """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="mcp") connection: Connection = field(default_factory=Connection) serverName: str = field(default="") - serverDescription: Optional[str] = None + serverDescription: str | None = None approvalMode: McpApprovalMode = field(default_factory=McpApprovalMode) allowedTools: list[str] = field(default_factory=list) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "McpTool": + def load(data: Any, context: LoadContext | None = None) -> "McpTool": """Load a McpTool instance. Args: data (Any): The data to load the instance from. @@ -517,7 +499,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "McpTool": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the McpTool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -549,7 +531,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the McpTool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -561,7 +543,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the McpTool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -589,14 +571,14 @@ class OpenApiTool(Tool): The full OpenAPI specification """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="openapi") connection: Connection = field(default_factory=Connection) specification: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "OpenApiTool": + def load(data: Any, context: LoadContext | None = None) -> "OpenApiTool": """Load a OpenApiTool instance. Args: data (Any): The data to load the instance from. @@ -627,7 +609,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "OpenApiTool": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the OpenApiTool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -653,7 +635,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the OpenApiTool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -665,7 +647,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the OpenApiTool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -697,13 +679,13 @@ class PromptyTool(Tool): Path to the child .prompty file, relative to the parent """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None kind: str = field(default="prompty") path: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "PromptyTool": + def load(data: Any, context: LoadContext | None = None) -> "PromptyTool": """Load a PromptyTool instance. Args: data (Any): The data to load the instance from. @@ -732,7 +714,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "PromptyTool": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the PromptyTool instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -756,7 +738,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the PromptyTool instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -768,7 +750,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the PromptyTool instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_ToolCall.py b/runtime/python/prompty/prompty/model/_ToolCall.py index 2162ffd6..a9a8aa7b 100644 --- a/runtime/python/prompty/prompty/model/_ToolCall.py +++ b/runtime/python/prompty/prompty/model/_ToolCall.py @@ -5,12 +5,11 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar from ._context import LoadContext, SaveContext - @dataclass class ToolCall: """A tool call requested by the LLM. Contains the function name and serialized @@ -26,14 +25,14 @@ class ToolCall: The serialized JSON arguments for the tool call """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None id: str = field(default="") name: str = field(default="") arguments: str = field(default="") @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ToolCall": + def load(data: Any, context: LoadContext | None = None) -> "ToolCall": """Load a ToolCall instance. Args: data (Any): The data to load the instance from. @@ -64,7 +63,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ToolCall": - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ToolCall instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -90,7 +89,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ToolCall instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -102,7 +101,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ToolCall instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/_ToolResult.py b/runtime/python/prompty/prompty/model/_ToolResult.py index 06468b81..c9faec85 100644 --- a/runtime/python/prompty/prompty/model/_ToolResult.py +++ b/runtime/python/prompty/prompty/model/_ToolResult.py @@ -5,11 +5,10 @@ ########################################## from dataclasses import dataclass, field -from typing import Any, ClassVar, Optional +from typing import Any, ClassVar -from ._context import LoadContext, SaveContext from ._ContentPart import ContentPart - +from ._context import LoadContext, SaveContext @dataclass @@ -26,12 +25,12 @@ class ToolResult: The content parts of the tool result """ - _shorthand_property: ClassVar[Optional[str]] = None + _shorthand_property: ClassVar[str | None] = None parts: list[ContentPart] = field(default_factory=list) @staticmethod - def load(data: Any, context: Optional[LoadContext] = None) -> "ToolResult": + def load(data: Any, context: LoadContext | None = None) -> "ToolResult": """Load a ToolResult instance. Args: data (Any): The data to load the instance from. @@ -58,7 +57,7 @@ def load(data: Any, context: Optional[LoadContext] = None) -> "ToolResult": @staticmethod - def load_parts(data: dict | list, context: Optional[LoadContext]) -> list[ContentPart]: + def load_parts(data: dict | list, context: LoadContext | None) -> list[ContentPart]: if isinstance(data, dict): # convert simple named parts to list of ContentPart result = [] @@ -73,35 +72,16 @@ def load_parts(data: dict | list, context: Optional[LoadContext]) -> list[Conten return [ContentPart.load(item, context) for item in data] @staticmethod - def save_parts(items: list[ContentPart], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + def save_parts(items: list[ContentPart], context: SaveContext | None) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() - if context.collection_format == "array": - return [item.save(context) for item in items] + # This type doesn't have a 'name' property, so always use array format + return [item.save(context) for item in items] - # Object format: use name as key - result: dict[str, Any] = {} - for item in items: - item_data = item.save(context) - name = item_data.pop("name", None) - if name: - # Check if we can use shorthand (only primary property set) - if context.use_shorthand and hasattr(item, '_shorthand_property'): - shorthand_prop = item._shorthand_property - if shorthand_prop and len(item_data) == 1 and shorthand_prop in item_data: - result[name] = item_data[shorthand_prop] - continue - result[name] = item_data - else: - # No name, fall back to array format for this item - if "_unnamed" not in result: - result["_unnamed"] = [] - result["_unnamed"].append(item_data) - return result - def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: + def save(self, context: SaveContext | None = None) -> dict[str, Any]: """Save the ToolResult instance to a dictionary. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -123,7 +103,7 @@ def save(self, context: Optional[SaveContext] = None) -> dict[str, Any]: result = context.process_dict(result) return result - def to_yaml(self, context: Optional[SaveContext] = None) -> str: + def to_yaml(self, context: SaveContext | None = None) -> str: """Convert the ToolResult instance to a YAML string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. @@ -135,7 +115,7 @@ def to_yaml(self, context: Optional[SaveContext] = None) -> str: context = SaveContext() return context.to_yaml(self.save(context)) - def to_json(self, context: Optional[SaveContext] = None, indent: int = 2) -> str: + def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: """Convert the ToolResult instance to a JSON string. Args: context (Optional[SaveContext]): Optional context with pre/post processing callbacks. diff --git a/runtime/python/prompty/prompty/model/__init__.py b/runtime/python/prompty/prompty/model/__init__.py index e57e4f32..ab02adca 100644 --- a/runtime/python/prompty/prompty/model/__init__.py +++ b/runtime/python/prompty/prompty/model/__init__.py @@ -4,93 +4,34 @@ # DO NOT EDIT THIS FILE DIRECTLY # ANY EDITS WILL BE LOST ########################################## -from ._context import LoadContext, SaveContext - -from ._Property import ( - Property, - ArrayProperty, - ObjectProperty -) - - +from ._Binding import Binding from ._Connection import ( + AnonymousConnection, + ApiKeyConnection, Connection, + FoundryConnection, + OAuthConnection, ReferenceConnection, RemoteConnection, - ApiKeyConnection, - AnonymousConnection, - FoundryConnection, - OAuthConnection -) - - -from ._ModelOptions import ModelOptions - - -from ._Model import Model - - -from ._Binding import Binding - - -from ._Tool import ( - Tool, - FunctionTool, - CustomTool, - McpTool, - OpenApiTool, - PromptyTool ) - - -from ._McpApprovalMode import McpApprovalMode - - +from ._ContentPart import AudioPart, ContentPart, FilePart, ImagePart, TextPart +from ._context import LoadContext, SaveContext from ._FormatConfig import FormatConfig - - +from ._GuardrailResult import GuardrailResult +from ._McpApprovalMode import McpApprovalMode +from ._Message import Message +from ._Model import Model +from ._ModelInfo import ModelInfo +from ._ModelOptions import ModelOptions from ._ParserConfig import ParserConfig - - -from ._Template import Template - - from ._Prompty import Prompty - - -from ._ContentPart import ( - ContentPart, - TextPart, - ImagePart, - FilePart, - AudioPart -) - - -from ._Message import Message - - +from ._Property import ArrayProperty, ObjectProperty, Property +from ._StreamChunk import ErrorChunk, StreamChunk, TextChunk, ThinkingChunk, ToolChunk +from ._Template import Template +from ._Tool import CustomTool, FunctionTool, McpTool, OpenApiTool, PromptyTool, Tool from ._ToolCall import ToolCall - - from ._ToolResult import ToolResult - -from ._StreamChunk import ( - StreamChunk, - TextChunk, - ThinkingChunk, - ToolChunk, - ErrorChunk -) - - -from ._GuardrailResult import GuardrailResult - - -from ._ModelInfo import ModelInfo - - __all__ = [ "LoadContext", "SaveContext", diff --git a/runtime/python/prompty/prompty/model/_context.py b/runtime/python/prompty/prompty/model/_context.py index b023b67a..0cc7aef6 100644 --- a/runtime/python/prompty/prompty/model/_context.py +++ b/runtime/python/prompty/prompty/model/_context.py @@ -2,8 +2,9 @@ # Prompty LoadContext import json +from collections.abc import Callable from dataclasses import dataclass -from typing import Any, Callable, Optional +from typing import Any import yaml @@ -17,10 +18,10 @@ class LoadContext: post-processing output data after instantiation. """ - pre_process: Optional[Callable[[dict[str, Any]], dict[str, Any]]] = None + pre_process: Callable[[dict[str, Any]], dict[str, Any]] | None = None """Optional callback to transform input data before parsing.""" - post_process: Optional[Callable[[Any], Any]] = None + post_process: Callable[[Any], Any] | None = None """Optional callback to transform the result after instantiation.""" def process_input(self, data: dict[str, Any]) -> dict[str, Any]: @@ -61,10 +62,10 @@ class SaveContext: post-processing the dictionary after serialization. """ - pre_save: Optional[Callable[[Any], Any]] = None + pre_save: Callable[[Any], Any] | None = None """Optional callback to transform the object before serialization.""" - post_save: Optional[Callable[[dict[str, Any]], dict[str, Any]]] = None + post_save: Callable[[dict[str, Any]], dict[str, Any]] | None = None """Optional callback to transform the dictionary after serialization.""" collection_format: str = "object" diff --git a/runtime/python/prompty/tests/model/test_anonymous_connection.py b/runtime/python/prompty/tests/model/test_anonymous_connection.py index be062945..3de63580 100644 --- a/runtime/python/prompty/tests/model/test_anonymous_connection.py +++ b/runtime/python/prompty/tests/model/test_anonymous_connection.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import AnonymousConnection diff --git a/runtime/python/prompty/tests/model/test_api_key_connection.py b/runtime/python/prompty/tests/model/test_api_key_connection.py index e94e6a8f..74c611ec 100644 --- a/runtime/python/prompty/tests/model/test_api_key_connection.py +++ b/runtime/python/prompty/tests/model/test_api_key_connection.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ApiKeyConnection diff --git a/runtime/python/prompty/tests/model/test_array_property.py b/runtime/python/prompty/tests/model/test_array_property.py index dd3b8b2f..790d6663 100644 --- a/runtime/python/prompty/tests/model/test_array_property.py +++ b/runtime/python/prompty/tests/model/test_array_property.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ArrayProperty diff --git a/runtime/python/prompty/tests/model/test_audio_part.py b/runtime/python/prompty/tests/model/test_audio_part.py index 0e53e2d0..cd7bd946 100644 --- a/runtime/python/prompty/tests/model/test_audio_part.py +++ b/runtime/python/prompty/tests/model/test_audio_part.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import AudioPart diff --git a/runtime/python/prompty/tests/model/test_binding.py b/runtime/python/prompty/tests/model/test_binding.py index b415431c..a3198f36 100644 --- a/runtime/python/prompty/tests/model/test_binding.py +++ b/runtime/python/prompty/tests/model/test_binding.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import Binding diff --git a/runtime/python/prompty/tests/model/test_connection.py b/runtime/python/prompty/tests/model/test_connection.py index 6a5c8a43..c29a0753 100644 --- a/runtime/python/prompty/tests/model/test_connection.py +++ b/runtime/python/prompty/tests/model/test_connection.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import Connection diff --git a/runtime/python/prompty/tests/model/test_content_part.py b/runtime/python/prompty/tests/model/test_content_part.py index 450f0157..fd40910d 100644 --- a/runtime/python/prompty/tests/model/test_content_part.py +++ b/runtime/python/prompty/tests/model/test_content_part.py @@ -1,5 +1,4 @@ -from prompty.model import ContentPart diff --git a/runtime/python/prompty/tests/model/test_custom_tool.py b/runtime/python/prompty/tests/model/test_custom_tool.py index 03f36c54..fed96675 100644 --- a/runtime/python/prompty/tests/model/test_custom_tool.py +++ b/runtime/python/prompty/tests/model/test_custom_tool.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import CustomTool diff --git a/runtime/python/prompty/tests/model/test_error_chunk.py b/runtime/python/prompty/tests/model/test_error_chunk.py index 9ea27715..ef390430 100644 --- a/runtime/python/prompty/tests/model/test_error_chunk.py +++ b/runtime/python/prompty/tests/model/test_error_chunk.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ErrorChunk diff --git a/runtime/python/prompty/tests/model/test_file_part.py b/runtime/python/prompty/tests/model/test_file_part.py index 22992159..e4c1d0a9 100644 --- a/runtime/python/prompty/tests/model/test_file_part.py +++ b/runtime/python/prompty/tests/model/test_file_part.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import FilePart diff --git a/runtime/python/prompty/tests/model/test_format_config.py b/runtime/python/prompty/tests/model/test_format_config.py index 3416218d..ea35856b 100644 --- a/runtime/python/prompty/tests/model/test_format_config.py +++ b/runtime/python/prompty/tests/model/test_format_config.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import FormatConfig diff --git a/runtime/python/prompty/tests/model/test_foundry_connection.py b/runtime/python/prompty/tests/model/test_foundry_connection.py index 87fa6475..23cb1a82 100644 --- a/runtime/python/prompty/tests/model/test_foundry_connection.py +++ b/runtime/python/prompty/tests/model/test_foundry_connection.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import FoundryConnection diff --git a/runtime/python/prompty/tests/model/test_function_tool.py b/runtime/python/prompty/tests/model/test_function_tool.py index 7a4e9f14..b85ad6e3 100644 --- a/runtime/python/prompty/tests/model/test_function_tool.py +++ b/runtime/python/prompty/tests/model/test_function_tool.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import FunctionTool diff --git a/runtime/python/prompty/tests/model/test_guardrail_result.py b/runtime/python/prompty/tests/model/test_guardrail_result.py index 631c3c75..d12479c5 100644 --- a/runtime/python/prompty/tests/model/test_guardrail_result.py +++ b/runtime/python/prompty/tests/model/test_guardrail_result.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import GuardrailResult diff --git a/runtime/python/prompty/tests/model/test_image_part.py b/runtime/python/prompty/tests/model/test_image_part.py index ef5e7bdb..ee725b23 100644 --- a/runtime/python/prompty/tests/model/test_image_part.py +++ b/runtime/python/prompty/tests/model/test_image_part.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ImagePart diff --git a/runtime/python/prompty/tests/model/test_mcp_approval_mode.py b/runtime/python/prompty/tests/model/test_mcp_approval_mode.py index 3a8483e4..8b1ca971 100644 --- a/runtime/python/prompty/tests/model/test_mcp_approval_mode.py +++ b/runtime/python/prompty/tests/model/test_mcp_approval_mode.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import McpApprovalMode diff --git a/runtime/python/prompty/tests/model/test_mcp_tool.py b/runtime/python/prompty/tests/model/test_mcp_tool.py index 4673783f..d0c5751e 100644 --- a/runtime/python/prompty/tests/model/test_mcp_tool.py +++ b/runtime/python/prompty/tests/model/test_mcp_tool.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import McpTool diff --git a/runtime/python/prompty/tests/model/test_message.py b/runtime/python/prompty/tests/model/test_message.py index 8db818c9..b44f0f4d 100644 --- a/runtime/python/prompty/tests/model/test_message.py +++ b/runtime/python/prompty/tests/model/test_message.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import Message diff --git a/runtime/python/prompty/tests/model/test_model.py b/runtime/python/prompty/tests/model/test_model.py index 9446d5c5..361121af 100644 --- a/runtime/python/prompty/tests/model/test_model.py +++ b/runtime/python/prompty/tests/model/test_model.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import Model diff --git a/runtime/python/prompty/tests/model/test_model_info.py b/runtime/python/prompty/tests/model/test_model_info.py index ab466a09..0e28da95 100644 --- a/runtime/python/prompty/tests/model/test_model_info.py +++ b/runtime/python/prompty/tests/model/test_model_info.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ModelInfo diff --git a/runtime/python/prompty/tests/model/test_model_options.py b/runtime/python/prompty/tests/model/test_model_options.py index fd323a7c..b850ae9c 100644 --- a/runtime/python/prompty/tests/model/test_model_options.py +++ b/runtime/python/prompty/tests/model/test_model_options.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ModelOptions diff --git a/runtime/python/prompty/tests/model/test_o_auth_connection.py b/runtime/python/prompty/tests/model/test_o_auth_connection.py index 783f390c..ab0e9af5 100644 --- a/runtime/python/prompty/tests/model/test_o_auth_connection.py +++ b/runtime/python/prompty/tests/model/test_o_auth_connection.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import OAuthConnection diff --git a/runtime/python/prompty/tests/model/test_object_property.py b/runtime/python/prompty/tests/model/test_object_property.py index 04d6568e..0e70b018 100644 --- a/runtime/python/prompty/tests/model/test_object_property.py +++ b/runtime/python/prompty/tests/model/test_object_property.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ObjectProperty diff --git a/runtime/python/prompty/tests/model/test_open_api_tool.py b/runtime/python/prompty/tests/model/test_open_api_tool.py index ec9455be..ae5c8eb2 100644 --- a/runtime/python/prompty/tests/model/test_open_api_tool.py +++ b/runtime/python/prompty/tests/model/test_open_api_tool.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import OpenApiTool diff --git a/runtime/python/prompty/tests/model/test_parser_config.py b/runtime/python/prompty/tests/model/test_parser_config.py index 4b6269c7..fd06fa9d 100644 --- a/runtime/python/prompty/tests/model/test_parser_config.py +++ b/runtime/python/prompty/tests/model/test_parser_config.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ParserConfig diff --git a/runtime/python/prompty/tests/model/test_prompty.py b/runtime/python/prompty/tests/model/test_prompty.py index f38b927f..5ad7d612 100644 --- a/runtime/python/prompty/tests/model/test_prompty.py +++ b/runtime/python/prompty/tests/model/test_prompty.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import Prompty diff --git a/runtime/python/prompty/tests/model/test_prompty_tool.py b/runtime/python/prompty/tests/model/test_prompty_tool.py index 1825908d..82542846 100644 --- a/runtime/python/prompty/tests/model/test_prompty_tool.py +++ b/runtime/python/prompty/tests/model/test_prompty_tool.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import PromptyTool diff --git a/runtime/python/prompty/tests/model/test_property.py b/runtime/python/prompty/tests/model/test_property.py index 064a00fb..110c3191 100644 --- a/runtime/python/prompty/tests/model/test_property.py +++ b/runtime/python/prompty/tests/model/test_property.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import Property diff --git a/runtime/python/prompty/tests/model/test_reference_connection.py b/runtime/python/prompty/tests/model/test_reference_connection.py index fcf4b9ed..98521f49 100644 --- a/runtime/python/prompty/tests/model/test_reference_connection.py +++ b/runtime/python/prompty/tests/model/test_reference_connection.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ReferenceConnection diff --git a/runtime/python/prompty/tests/model/test_remote_connection.py b/runtime/python/prompty/tests/model/test_remote_connection.py index 46a040f2..33caac8d 100644 --- a/runtime/python/prompty/tests/model/test_remote_connection.py +++ b/runtime/python/prompty/tests/model/test_remote_connection.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import RemoteConnection diff --git a/runtime/python/prompty/tests/model/test_stream_chunk.py b/runtime/python/prompty/tests/model/test_stream_chunk.py index 1bfc1655..fd40910d 100644 --- a/runtime/python/prompty/tests/model/test_stream_chunk.py +++ b/runtime/python/prompty/tests/model/test_stream_chunk.py @@ -1,5 +1,4 @@ -from prompty.model import StreamChunk diff --git a/runtime/python/prompty/tests/model/test_template.py b/runtime/python/prompty/tests/model/test_template.py index 71c934d3..6dba4f7e 100644 --- a/runtime/python/prompty/tests/model/test_template.py +++ b/runtime/python/prompty/tests/model/test_template.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import Template diff --git a/runtime/python/prompty/tests/model/test_text_chunk.py b/runtime/python/prompty/tests/model/test_text_chunk.py index a6f4d332..54a77190 100644 --- a/runtime/python/prompty/tests/model/test_text_chunk.py +++ b/runtime/python/prompty/tests/model/test_text_chunk.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import TextChunk diff --git a/runtime/python/prompty/tests/model/test_text_part.py b/runtime/python/prompty/tests/model/test_text_part.py index 3cdfa078..1e02ec46 100644 --- a/runtime/python/prompty/tests/model/test_text_part.py +++ b/runtime/python/prompty/tests/model/test_text_part.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import TextPart diff --git a/runtime/python/prompty/tests/model/test_thinking_chunk.py b/runtime/python/prompty/tests/model/test_thinking_chunk.py index cfdca94f..03000bca 100644 --- a/runtime/python/prompty/tests/model/test_thinking_chunk.py +++ b/runtime/python/prompty/tests/model/test_thinking_chunk.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ThinkingChunk diff --git a/runtime/python/prompty/tests/model/test_tool.py b/runtime/python/prompty/tests/model/test_tool.py index 1ed1136c..3a42e7dd 100644 --- a/runtime/python/prompty/tests/model/test_tool.py +++ b/runtime/python/prompty/tests/model/test_tool.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import Tool diff --git a/runtime/python/prompty/tests/model/test_tool_call.py b/runtime/python/prompty/tests/model/test_tool_call.py index a72ede28..a9cfd537 100644 --- a/runtime/python/prompty/tests/model/test_tool_call.py +++ b/runtime/python/prompty/tests/model/test_tool_call.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ToolCall @@ -18,7 +19,7 @@ def test_load_json_toolcall(): assert instance is not None assert instance.id == "call_abc123" assert instance.name == "get_weather" - assert instance.arguments == "{"city": "Paris"}" + assert instance.arguments == "{\"city\": \"Paris\"}" def test_load_yaml_toolcall(): @@ -33,7 +34,7 @@ def test_load_yaml_toolcall(): assert instance is not None assert instance.id == "call_abc123" assert instance.name == "get_weather" - assert instance.arguments == "{"city": "Paris"}" + assert instance.arguments == "{\"city\": \"Paris\"}" def test_roundtrip_json_toolcall(): """Test that load -> save -> load produces equivalent data.""" @@ -51,7 +52,7 @@ def test_roundtrip_json_toolcall(): assert reloaded is not None assert reloaded.id == "call_abc123" assert reloaded.name == "get_weather" - assert reloaded.arguments == "{"city": "Paris"}" + assert reloaded.arguments == "{\"city\": \"Paris\"}" def test_to_json_toolcall(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_tool_chunk.py b/runtime/python/prompty/tests/model/test_tool_chunk.py index c98e7832..7f57c209 100644 --- a/runtime/python/prompty/tests/model/test_tool_chunk.py +++ b/runtime/python/prompty/tests/model/test_tool_chunk.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ToolChunk diff --git a/runtime/python/prompty/tests/model/test_tool_result.py b/runtime/python/prompty/tests/model/test_tool_result.py index 5c1dbb25..06994cdb 100644 --- a/runtime/python/prompty/tests/model/test_tool_result.py +++ b/runtime/python/prompty/tests/model/test_tool_result.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import ToolResult diff --git a/runtime/rust/prompty/tests/load_vectors.rs b/runtime/rust/prompty/tests/load_vectors.rs index 439b92da..f011585e 100644 --- a/runtime/rust/prompty/tests/load_vectors.rs +++ b/runtime/rust/prompty/tests/load_vectors.rs @@ -427,13 +427,10 @@ fn validate_tool(tool: &prompty::model::tool::Tool, expected: &Value, vec_name: ); } } - prompty::model::tool::ToolKind::Prompty { path, mode, .. } => { + prompty::model::tool::ToolKind::Prompty { path, .. } => { if let Some(p) = expected.get("path").and_then(Value::as_str) { assert_eq!(path, p, "[{vec_name}] tool[{idx}].path"); } - if let Some(m) = expected.get("mode").and_then(Value::as_str) { - assert_eq!(mode, m, "[{vec_name}] tool[{idx}].mode"); - } } prompty::model::tool::ToolKind::Custom { .. } => { // kind_str() already checked above diff --git a/runtime/rust/prompty/tests/model/anonymous_connection_test.rs b/runtime/rust/prompty/tests/model/anonymous_connection_test.rs deleted file mode 100644 index 36f467e5..00000000 --- a/runtime/rust/prompty/tests/model/anonymous_connection_test.rs +++ /dev/null @@ -1,53 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::AnonymousConnection; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_anonymous_connection_load_json() { - let json = r####" -{ - "kind": "anonymous", - "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" -} -"####; - let result = AnonymousConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "anonymous"); - assert_eq!(instance.endpoint, "https://{your-custom-endpoint}.openai.azure.com/"); -} - -#[test] -fn test_anonymous_connection_load_yaml() { - let yaml = r####" -kind: anonymous -endpoint: "https://{your-custom-endpoint}.openai.azure.com/" - -"####; - let result = AnonymousConnection::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "anonymous"); - assert_eq!(instance.endpoint, "https://{your-custom-endpoint}.openai.azure.com/"); -} - -#[test] -fn test_anonymous_connection_roundtrip() { - let json = r####" -{ - "kind": "anonymous", - "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" -} -"####; - let result = AnonymousConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/api_key_connection_test.rs b/runtime/rust/prompty/tests/model/api_key_connection_test.rs deleted file mode 100644 index 32bcef0b..00000000 --- a/runtime/rust/prompty/tests/model/api_key_connection_test.rs +++ /dev/null @@ -1,58 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::ApiKeyConnection; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_api_key_connection_load_json() { - let json = r####" -{ - "kind": "key", - "endpoint": "https://{your-custom-endpoint}.openai.azure.com/", - "apiKey": "your-api-key" -} -"####; - let result = ApiKeyConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "key"); - assert_eq!(instance.endpoint, "https://{your-custom-endpoint}.openai.azure.com/"); - assert_eq!(instance.api_key, "your-api-key"); -} - -#[test] -fn test_api_key_connection_load_yaml() { - let yaml = r####" -kind: key -endpoint: "https://{your-custom-endpoint}.openai.azure.com/" -apiKey: your-api-key - -"####; - let result = ApiKeyConnection::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "key"); - assert_eq!(instance.endpoint, "https://{your-custom-endpoint}.openai.azure.com/"); - assert_eq!(instance.api_key, "your-api-key"); -} - -#[test] -fn test_api_key_connection_roundtrip() { - let json = r####" -{ - "kind": "key", - "endpoint": "https://{your-custom-endpoint}.openai.azure.com/", - "apiKey": "your-api-key" -} -"####; - let result = ApiKeyConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/array_property_test.rs b/runtime/rust/prompty/tests/model/array_property_test.rs deleted file mode 100644 index 83216223..00000000 --- a/runtime/rust/prompty/tests/model/array_property_test.rs +++ /dev/null @@ -1,53 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::ArrayProperty; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_array_property_load_json() { - let json = r####" -{ - "items": { - "kind": "string" - } -} -"####; - let result = ArrayProperty::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - let _ = instance; // load succeeded, no scalar properties to validate -} - -#[test] -fn test_array_property_load_yaml() { - let yaml = r####" -items: - kind: string - -"####; - let result = ArrayProperty::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - let _ = instance; // load succeeded, no scalar properties to validate -} - -#[test] -fn test_array_property_roundtrip() { - let json = r####" -{ - "items": { - "kind": "string" - } -} -"####; - let result = ArrayProperty::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/custom_tool_test.rs b/runtime/rust/prompty/tests/model/custom_tool_test.rs deleted file mode 100644 index 1e8cd034..00000000 --- a/runtime/rust/prompty/tests/model/custom_tool_test.rs +++ /dev/null @@ -1,64 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::CustomTool; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_custom_tool_load_json() { - let json = r####" -{ - "connection": { - "kind": "reference" - }, - "options": { - "timeout": 30, - "retries": 3 - } -} -"####; - let result = CustomTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - let _ = instance; // load succeeded, no scalar properties to validate -} - -#[test] -fn test_custom_tool_load_yaml() { - let yaml = r####" -connection: - kind: reference -options: - timeout: 30 - retries: 3 - -"####; - let result = CustomTool::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - let _ = instance; // load succeeded, no scalar properties to validate -} - -#[test] -fn test_custom_tool_roundtrip() { - let json = r####" -{ - "connection": { - "kind": "reference" - }, - "options": { - "timeout": 30, - "retries": 3 - } -} -"####; - let result = CustomTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/foundry_connection_test.rs b/runtime/rust/prompty/tests/model/foundry_connection_test.rs deleted file mode 100644 index 52d6c6aa..00000000 --- a/runtime/rust/prompty/tests/model/foundry_connection_test.rs +++ /dev/null @@ -1,65 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::FoundryConnection; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_foundry_connection_load_json() { - let json = r####" -{ - "kind": "foundry", - "endpoint": "https://myresource.services.ai.azure.com/api/projects/myproject", - "name": "my-openai-connection", - "connectionType": "model" -} -"####; - let result = FoundryConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "foundry"); - assert_eq!(instance.endpoint, "https://myresource.services.ai.azure.com/api/projects/myproject"); - assert!(instance.name.is_some(), "Expected name to be Some"); - assert_eq!(instance.name.as_ref().unwrap(), &"my-openai-connection"); - assert!(instance.connection_type.is_some(), "Expected connection_type to be Some"); - assert_eq!(instance.connection_type.as_ref().unwrap(), &"model"); -} - -#[test] -fn test_foundry_connection_load_yaml() { - let yaml = r####" -kind: foundry -endpoint: "https://myresource.services.ai.azure.com/api/projects/myproject" -name: my-openai-connection -connectionType: model - -"####; - let result = FoundryConnection::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "foundry"); - assert_eq!(instance.endpoint, "https://myresource.services.ai.azure.com/api/projects/myproject"); - assert!(instance.name.is_some(), "Expected name to be Some"); - assert!(instance.connection_type.is_some(), "Expected connection_type to be Some"); -} - -#[test] -fn test_foundry_connection_roundtrip() { - let json = r####" -{ - "kind": "foundry", - "endpoint": "https://myresource.services.ai.azure.com/api/projects/myproject", - "name": "my-openai-connection", - "connectionType": "model" -} -"####; - let result = FoundryConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/function_tool_test.rs b/runtime/rust/prompty/tests/model/function_tool_test.rs deleted file mode 100644 index 719cdf72..00000000 --- a/runtime/rust/prompty/tests/model/function_tool_test.rs +++ /dev/null @@ -1,182 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::FunctionTool; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_function_tool_load_json() { - let json = r####" -{ - "kind": "function", - "parameters": { - "firstName": { - "kind": "string", - "default": "Jane" - }, - "lastName": { - "kind": "string", - "default": "Doe" - }, - "question": { - "kind": "string", - "default": "What is the meaning of life?" - } - }, - "strict": true -} -"####; - let result = FunctionTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "function"); - assert!(instance.strict.is_some(), "Expected strict to be Some"); - assert_eq!(instance.strict.as_ref().unwrap(), &true); -} - -#[test] -fn test_function_tool_load_yaml() { - let yaml = r####" -kind: function -parameters: - firstName: - kind: string - default: Jane - lastName: - kind: string - default: Doe - question: - kind: string - default: What is the meaning of life? -strict: true - -"####; - let result = FunctionTool::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "function"); - assert!(instance.strict.is_some(), "Expected strict to be Some"); -} - -#[test] -fn test_function_tool_roundtrip() { - let json = r####" -{ - "kind": "function", - "parameters": { - "firstName": { - "kind": "string", - "default": "Jane" - }, - "lastName": { - "kind": "string", - "default": "Doe" - }, - "question": { - "kind": "string", - "default": "What is the meaning of life?" - } - }, - "strict": true -} -"####; - let result = FunctionTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - -#[test] -fn test_function_tool_load_json_1() { - let json = r####" -{ - "kind": "function", - "parameters": [ - { - "name": "firstName", - "kind": "string", - "default": "Jane" - }, - { - "name": "lastName", - "kind": "string", - "default": "Doe" - }, - { - "name": "question", - "kind": "string", - "default": "What is the meaning of life?" - } - ], - "strict": true -} -"####; - let result = FunctionTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "function"); - assert!(instance.strict.is_some(), "Expected strict to be Some"); - assert_eq!(instance.strict.as_ref().unwrap(), &true); -} - -#[test] -fn test_function_tool_load_yaml_1() { - let yaml = r####" -kind: function -parameters: - - name: firstName - kind: string - default: Jane - - name: lastName - kind: string - default: Doe - - name: question - kind: string - default: What is the meaning of life? -strict: true - -"####; - let result = FunctionTool::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "function"); - assert!(instance.strict.is_some(), "Expected strict to be Some"); -} - -#[test] -fn test_function_tool_roundtrip_1() { - let json = r####" -{ - "kind": "function", - "parameters": [ - { - "name": "firstName", - "kind": "string", - "default": "Jane" - }, - { - "name": "lastName", - "kind": "string", - "default": "Doe" - }, - { - "name": "question", - "kind": "string", - "default": "What is the meaning of life?" - } - ], - "strict": true -} -"####; - let result = FunctionTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/mcp_tool_test.rs b/runtime/rust/prompty/tests/model/mcp_tool_test.rs deleted file mode 100644 index cebad921..00000000 --- a/runtime/rust/prompty/tests/model/mcp_tool_test.rs +++ /dev/null @@ -1,86 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::McpTool; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_mcp_tool_load_json() { - let json = r####" -{ - "kind": "mcp", - "connection": { - "kind": "reference" - }, - "serverName": "My MCP Server", - "serverDescription": "This tool allows access to MCP services.", - "approvalMode": { - "kind": "always" - }, - "allowedTools": [ - "operation1", - "operation2" - ] -} -"####; - let result = McpTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "mcp"); - assert_eq!(instance.server_name, "My MCP Server"); - assert!(instance.server_description.is_some(), "Expected server_description to be Some"); - assert_eq!(instance.server_description.as_ref().unwrap(), &"This tool allows access to MCP services."); -} - -#[test] -fn test_mcp_tool_load_yaml() { - let yaml = r####" -kind: mcp -connection: - kind: reference -serverName: My MCP Server -serverDescription: This tool allows access to MCP services. -approvalMode: - kind: always -allowedTools: - - operation1 - - operation2 - -"####; - let result = McpTool::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "mcp"); - assert_eq!(instance.server_name, "My MCP Server"); - assert!(instance.server_description.is_some(), "Expected server_description to be Some"); -} - -#[test] -fn test_mcp_tool_roundtrip() { - let json = r####" -{ - "kind": "mcp", - "connection": { - "kind": "reference" - }, - "serverName": "My MCP Server", - "serverDescription": "This tool allows access to MCP services.", - "approvalMode": { - "kind": "always" - }, - "allowedTools": [ - "operation1", - "operation2" - ] -} -"####; - let result = McpTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/o_auth_connection_test.rs b/runtime/rust/prompty/tests/model/o_auth_connection_test.rs deleted file mode 100644 index 1e33675f..00000000 --- a/runtime/rust/prompty/tests/model/o_auth_connection_test.rs +++ /dev/null @@ -1,76 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::OAuthConnection; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_o_auth_connection_load_json() { - let json = r####" -{ - "kind": "oauth", - "endpoint": "https://api.example.com", - "clientId": "your-client-id", - "clientSecret": "your-client-secret", - "tokenUrl": "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token", - "scopes": [ - "https://cognitiveservices.azure.com/.default" - ] -} -"####; - let result = OAuthConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "oauth"); - assert_eq!(instance.endpoint, "https://api.example.com"); - assert_eq!(instance.client_id, "your-client-id"); - assert_eq!(instance.client_secret, "your-client-secret"); - assert_eq!(instance.token_url, "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token"); -} - -#[test] -fn test_o_auth_connection_load_yaml() { - let yaml = r####" -kind: oauth -endpoint: "https://api.example.com" -clientId: your-client-id -clientSecret: your-client-secret -tokenUrl: "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token" -scopes: - - "https://cognitiveservices.azure.com/.default" - -"####; - let result = OAuthConnection::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "oauth"); - assert_eq!(instance.endpoint, "https://api.example.com"); - assert_eq!(instance.client_id, "your-client-id"); - assert_eq!(instance.client_secret, "your-client-secret"); - assert_eq!(instance.token_url, "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token"); -} - -#[test] -fn test_o_auth_connection_roundtrip() { - let json = r####" -{ - "kind": "oauth", - "endpoint": "https://api.example.com", - "clientId": "your-client-id", - "clientSecret": "your-client-secret", - "tokenUrl": "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token", - "scopes": [ - "https://cognitiveservices.azure.com/.default" - ] -} -"####; - let result = OAuthConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/object_property_test.rs b/runtime/rust/prompty/tests/model/object_property_test.rs deleted file mode 100644 index a39fa743..00000000 --- a/runtime/rust/prompty/tests/model/object_property_test.rs +++ /dev/null @@ -1,66 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::ObjectProperty; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_object_property_load_json() { - let json = r####" -{ - "properties": { - "property1": { - "kind": "string" - }, - "property2": { - "kind": "number" - } - } -} -"####; - let result = ObjectProperty::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - let _ = instance; // load succeeded, no scalar properties to validate -} - -#[test] -fn test_object_property_load_yaml() { - let yaml = r####" -properties: - property1: - kind: string - property2: - kind: number - -"####; - let result = ObjectProperty::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - let _ = instance; // load succeeded, no scalar properties to validate -} - -#[test] -fn test_object_property_roundtrip() { - let json = r####" -{ - "properties": { - "property1": { - "kind": "string" - }, - "property2": { - "kind": "number" - } - } -} -"####; - let result = ObjectProperty::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/open_api_tool_test.rs b/runtime/rust/prompty/tests/model/open_api_tool_test.rs deleted file mode 100644 index 2a91ce33..00000000 --- a/runtime/rust/prompty/tests/model/open_api_tool_test.rs +++ /dev/null @@ -1,61 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::OpenApiTool; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_open_api_tool_load_json() { - let json = r####" -{ - "kind": "openapi", - "connection": { - "kind": "reference" - }, - "specification": "./openapi.json" -} -"####; - let result = OpenApiTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "openapi"); - assert_eq!(instance.specification, "./openapi.json"); -} - -#[test] -fn test_open_api_tool_load_yaml() { - let yaml = r####" -kind: openapi -connection: - kind: reference -specification: ./openapi.json - -"####; - let result = OpenApiTool::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "openapi"); - assert_eq!(instance.specification, "./openapi.json"); -} - -#[test] -fn test_open_api_tool_roundtrip() { - let json = r####" -{ - "kind": "openapi", - "connection": { - "kind": "reference" - }, - "specification": "./openapi.json" -} -"####; - let result = OpenApiTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/prompty_tool_test.rs b/runtime/rust/prompty/tests/model/prompty_tool_test.rs deleted file mode 100644 index 1aaf858f..00000000 --- a/runtime/rust/prompty/tests/model/prompty_tool_test.rs +++ /dev/null @@ -1,58 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::PromptyTool; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_prompty_tool_load_json() { - let json = r####" -{ - "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" -} -"####; - let result = PromptyTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "prompty"); - assert_eq!(instance.path, "./summarize.prompty"); - assert_eq!(instance.mode, "single"); -} - -#[test] -fn test_prompty_tool_load_yaml() { - let yaml = r####" -kind: prompty -path: ./summarize.prompty -mode: single - -"####; - let result = PromptyTool::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "prompty"); - assert_eq!(instance.path, "./summarize.prompty"); - assert_eq!(instance.mode, "single"); -} - -#[test] -fn test_prompty_tool_roundtrip() { - let json = r####" -{ - "kind": "prompty", - "path": "./summarize.prompty", - "mode": "single" -} -"####; - let result = PromptyTool::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/reference_connection_test.rs b/runtime/rust/prompty/tests/model/reference_connection_test.rs deleted file mode 100644 index f2a550dd..00000000 --- a/runtime/rust/prompty/tests/model/reference_connection_test.rs +++ /dev/null @@ -1,59 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::ReferenceConnection; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_reference_connection_load_json() { - let json = r####" -{ - "kind": "reference", - "name": "my-reference-connection", - "target": "my-target-resource" -} -"####; - let result = ReferenceConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "reference"); - assert_eq!(instance.name, "my-reference-connection"); - assert!(instance.target.is_some(), "Expected target to be Some"); - assert_eq!(instance.target.as_ref().unwrap(), &"my-target-resource"); -} - -#[test] -fn test_reference_connection_load_yaml() { - let yaml = r####" -kind: reference -name: my-reference-connection -target: my-target-resource - -"####; - let result = ReferenceConnection::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "reference"); - assert_eq!(instance.name, "my-reference-connection"); - assert!(instance.target.is_some(), "Expected target to be Some"); -} - -#[test] -fn test_reference_connection_roundtrip() { - let json = r####" -{ - "kind": "reference", - "name": "my-reference-connection", - "target": "my-target-resource" -} -"####; - let result = ReferenceConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/runtime/rust/prompty/tests/model/remote_connection_test.rs b/runtime/rust/prompty/tests/model/remote_connection_test.rs deleted file mode 100644 index a102bb6d..00000000 --- a/runtime/rust/prompty/tests/model/remote_connection_test.rs +++ /dev/null @@ -1,58 +0,0 @@ - -// Code generated by AgentSchema emitter; DO NOT EDIT. - -use prompty::model::RemoteConnection; -use prompty::model::context::{LoadContext, SaveContext}; - - -#[test] -fn test_remote_connection_load_json() { - let json = r####" -{ - "kind": "remote", - "name": "my-reference-connection", - "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" -} -"####; - let result = RemoteConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from JSON: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "remote"); - assert_eq!(instance.name, "my-reference-connection"); - assert_eq!(instance.endpoint, "https://{your-custom-endpoint}.openai.azure.com/"); -} - -#[test] -fn test_remote_connection_load_yaml() { - let yaml = r####" -kind: remote -name: my-reference-connection -endpoint: "https://{your-custom-endpoint}.openai.azure.com/" - -"####; - let result = RemoteConnection::from_yaml(yaml, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load from YAML: {:?}", result.err()); - let instance = result.unwrap(); - assert_eq!(instance.kind, "remote"); - assert_eq!(instance.name, "my-reference-connection"); - assert_eq!(instance.endpoint, "https://{your-custom-endpoint}.openai.azure.com/"); -} - -#[test] -fn test_remote_connection_roundtrip() { - let json = r####" -{ - "kind": "remote", - "name": "my-reference-connection", - "endpoint": "https://{your-custom-endpoint}.openai.azure.com/" -} -"####; - let result = RemoteConnection::from_json(json, &LoadContext::default()); - assert!(result.is_ok(), "Failed to load: {:?}", result.err()); - let instance = result.unwrap(); - let json_output = instance.to_json(&SaveContext::default()); - assert!(json_output.is_ok(), "Failed to serialize to JSON: {:?}", json_output.err()); -} - - - diff --git a/schema/emitter/src/go.ts b/schema/emitter/src/go.ts index 81d4d3e4..b92b6232 100644 --- a/schema/emitter/src/go.ts +++ b/schema/emitter/src/go.ts @@ -45,7 +45,7 @@ interface GoClassContext { alternates: Array<{ scalar: string; alternate: string }>; polymorphicTypes: any; imports: string[]; - collectionTypes: Array<{ prop: PropertyNode; type: string[] }>; + collectionTypes: Array<{ prop: PropertyNode; type: string[]; hasNameProperty: boolean }>; shorthandProperty: string | null; } @@ -244,15 +244,15 @@ function getShorthandProperty(node: TypeNode): string | null { /** * Get collection properties with their nested type info. */ -function getCollectionTypes(node: TypeNode): Array<{ prop: PropertyNode; type: string[] }> { +function getCollectionTypes(node: TypeNode): Array<{ prop: PropertyNode; type: string[]; hasNameProperty: boolean }> { return node.properties .filter(p => p.isCollection && !p.isScalar && !p.isDict) .map(p => ({ prop: p, type: p.type?.properties.filter(t => t.name !== "name").map(t => t.name) || [], + hasNameProperty: p.type?.properties.some(t => t.name === "name") || false, })); } - /** * Get unique import types needed from other modules. */ diff --git a/schema/emitter/src/python.ts b/schema/emitter/src/python.ts index 4a816eab..88213013 100644 --- a/schema/emitter/src/python.ts +++ b/schema/emitter/src/python.ts @@ -273,12 +273,13 @@ function getShorthandProperty(node: TypeNode): string | null { /** * Get collection properties with their nested type info for load_* methods. */ -function getCollectionTypes(node: TypeNode): Array<{ prop: PropertyNode; type: string[] }> { +function getCollectionTypes(node: TypeNode): Array<{ prop: PropertyNode; type: string[]; hasNameProperty: boolean }> { return node.properties .filter(p => p.isCollection && !p.isScalar && !p.isDict) .map(p => ({ prop: p, type: p.type?.properties.filter(t => t.name !== "name").map(t => t.name) || [], + hasNameProperty: p.type?.properties.some(t => t.name === "name") || false, })); } diff --git a/schema/emitter/src/rust.ts b/schema/emitter/src/rust.ts index bb91b3e2..5f931ff2 100644 --- a/schema/emitter/src/rust.ts +++ b/schema/emitter/src/rust.ts @@ -59,7 +59,7 @@ interface RustClassContext { alternates: Array<{ scalar: string; alternate: string }>; polymorphicTypes: any; imports: string[]; - collectionTypes: Array<{ prop: PropertyNode; type: string[] }>; + collectionTypes: Array<{ prop: PropertyNode; type: string[]; hasNameProperty: boolean }>; shorthandProperty: string | null; // Polymorphic support isPolymorphicBase: boolean; @@ -344,15 +344,15 @@ function getShorthandProperty(node: TypeNode): string | null { /** * Get collection properties with their nested type info. */ -function getCollectionTypes(node: TypeNode): Array<{ prop: PropertyNode; type: string[] }> { +function getCollectionTypes(node: TypeNode): Array<{ prop: PropertyNode; type: string[]; hasNameProperty: boolean }> { return node.properties .filter(p => p.isCollection && !p.isScalar && !p.isDict) .map(p => ({ prop: p, type: p.type?.properties.filter(t => t.name !== "name").map(t => t.name) || [], + hasNameProperty: p.type?.properties.some(t => t.name === "name") || false, })); } - /** * Get unique import types needed from other modules. * Excludes polymorphic types that are not collection fields (stored as serde_json::Value diff --git a/schema/emitter/src/templates/python/file.py.njk b/schema/emitter/src/templates/python/file.py.njk index 444ed312..1a9fabb5 100644 --- a/schema/emitter/src/templates/python/file.py.njk +++ b/schema/emitter/src/templates/python/file.py.njk @@ -108,6 +108,7 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % def save_{{ collection.prop.name }}(items: list[{{ collection.prop.typeName.name }}], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() +{% if collection.hasNameProperty %} if context.collection_format == "array": return [item.save(context) for item in items] @@ -131,6 +132,10 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % result["_unnamed"] = [] result["_unnamed"].append(item_data) return result +{% else %} + # This type doesn't have a 'name' property, so always use array format + return [item.save(context) for item in items] +{% endif %} {%- endfor %} {% if polymorphicTypes %} diff --git a/schema/emitter/src/test-context.ts b/schema/emitter/src/test-context.ts index 66adb2ab..3f5c7698 100644 --- a/schema/emitter/src/test-context.ts +++ b/schema/emitter/src/test-context.ts @@ -199,7 +199,7 @@ export const csharpTestOptions: TestContextOptions = { return pascal.charAt(0).toUpperCase() + pascal.slice(1); }, renderBoolean: (val: boolean) => val ? "True" : "False", - escapeString: (str: string) => str, + escapeString: (str: string) => str.replace(/\\/g, "\\\\").replace(/"/g, '\\"'), getDelimiter: (str: string) => str.includes('\n') ? '@"' : '"', scalarValues: { "boolean": "false", @@ -229,7 +229,7 @@ export const csharpTestOptions: TestContextOptions = { export const pythonTestOptions: TestContextOptions = { renderKey: (key: string) => key, // snake_case - already correct from TypeSpec renderBoolean: (val: boolean) => val ? "True" : "False", - escapeString: (str: string) => str, + escapeString: (str: string) => str.replace(/\\/g, "\\\\").replace(/"/g, '\\"'), getDelimiter: (str: string) => str.includes('\n') ? '"""' : '"', scalarValues: { "boolean": "False", From 0a33ad913d0248d8ace0c36ac5d784a79dc6946b Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 13:18:06 -0700 Subject: [PATCH 03/85] feat(emitter): add @factory and @helper decorators with cross-runtime generation MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Add verb enforcement infrastructure to the TypeSpec emitter: - @factory decorator: generates static factory methods (fully generated) - GuardrailResult: allow(), deny(reason), rewrite(value) - All 4 runtimes: Rust, TypeScript, Python, C# - @helper decorator: generates trait/interface stubs (hand-implemented) - Message: text() helper trait in Rust - Other runtimes: pending stub generation - C# factory method name collision detection (Rewrite prop → CreateRewrite method) - ToolResult.fromText deferred to extension files (too language-specific) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../Prompty.Core/Model/GuardrailResult.cs | 39 ++++++++++ .../csharp/Prompty.Core/Model/ToolResult.cs | 3 + runtime/go/prompty/go.mod | 5 ++ runtime/go/prompty/go.sum | 3 + runtime/go/prompty/model/tool_result.go | 3 + .../python/prompty/prompty/model/_Binding.py | 1 + .../prompty/prompty/model/_Connection.py | 7 ++ .../prompty/prompty/model/_ContentPart.py | 5 ++ .../prompty/prompty/model/_FormatConfig.py | 1 + .../prompty/prompty/model/_GuardrailResult.py | 25 +++++++ .../prompty/prompty/model/_McpApprovalMode.py | 1 + .../python/prompty/prompty/model/_Message.py | 1 + .../python/prompty/prompty/model/_Model.py | 1 + .../prompty/prompty/model/_ModelInfo.py | 1 + .../prompty/prompty/model/_ModelOptions.py | 1 + .../prompty/prompty/model/_ParserConfig.py | 1 + .../python/prompty/prompty/model/_Prompty.py | 1 + .../python/prompty/prompty/model/_Property.py | 3 + .../prompty/prompty/model/_StreamChunk.py | 5 ++ .../python/prompty/prompty/model/_Template.py | 1 + runtime/python/prompty/prompty/model/_Tool.py | 6 ++ .../python/prompty/prompty/model/_ToolCall.py | 1 + .../prompty/prompty/model/_ToolResult.py | 4 + .../tests/model/test_foundry_connection.py | 1 - .../prompty/src/model/guardrail_result.rs | 24 ++++++ runtime/rust/prompty/src/model/message.rs | 5 ++ runtime/rust/prompty/src/model/tool_result.rs | 2 +- .../core/src/model/guardrail-result.ts | 33 +++++++++ .../packages/core/src/model/tool-result.ts | 3 + schema/emitter/src/ast.ts | 14 +++- schema/emitter/src/csharp.ts | 35 +++++++++ schema/emitter/src/decorators.ts | 60 +++++++++++++++ schema/emitter/src/index.ts | 2 +- schema/emitter/src/lib.ts | 4 +- schema/emitter/src/lib/main.tsp | 38 ++++++++++ .../emitter/src/templates/csharp/file.cs.njk | 23 ++++++ .../emitter/src/templates/python/_macros.njk | 41 +++++++++++ .../emitter/src/templates/python/file.py.njk | 16 ++++ schema/emitter/src/templates/rust/_macros.njk | 73 +++++++++++++++++++ schema/emitter/src/templates/rust/file.rs.njk | 34 +++++++++ .../src/templates/typescript/_macros.njk | 41 +++++++++++ .../src/templates/typescript/file.ts.njk | 21 ++++++ schema/emitter/src/test-context.ts | 1 + schema/model/guardrails.tsp | 3 + schema/model/message.tsp | 4 + vscode/prompty/schemas/ToolResult.yaml | 3 + web/src/content/docs/reference/ToolResult.md | 3 + 47 files changed, 598 insertions(+), 5 deletions(-) create mode 100644 runtime/go/prompty/go.mod create mode 100644 runtime/go/prompty/go.sum diff --git a/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs b/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs index b14eb18c..86ea5f51 100644 --- a/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs +++ b/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs @@ -187,4 +187,43 @@ public static GuardrailResult FromYaml(string yaml, LoadContext? context = null) } #endregion + + #region Factory Methods + + ///

    + /// Create a GuardrailResult with preset field values. + /// + public static GuardrailResult CreateRewrite(object? rewrite) + { + return new GuardrailResult + { + Allowed = true, + Rewrite = rewrite, + }; + } + + /// + /// Create a GuardrailResult with preset field values. + /// + public static GuardrailResult Deny(string reason) + { + return new GuardrailResult + { + Allowed = false, + Reason = reason, + }; + } + + /// + /// Create a GuardrailResult with preset field values. + /// + public static GuardrailResult Allow() + { + return new GuardrailResult + { + Allowed = true, + }; + } + + #endregion } diff --git a/runtime/csharp/Prompty.Core/Model/ToolResult.cs b/runtime/csharp/Prompty.Core/Model/ToolResult.cs index 1b90e029..7a50d8ec 100644 --- a/runtime/csharp/Prompty.Core/Model/ToolResult.cs +++ b/runtime/csharp/Prompty.Core/Model/ToolResult.cs @@ -12,6 +12,9 @@ namespace Prompty.Core; /// /// Implementations MUST support conversion from a plain string to a ToolResult /// containing a single TextPart for backward compatibility. +/// +/// Each language runtime SHOULD provide a static `fromText(string) -> ToolResult` +/// factory in its extension file. /// public class ToolResult { diff --git a/runtime/go/prompty/go.mod b/runtime/go/prompty/go.mod new file mode 100644 index 00000000..3a16a34f --- /dev/null +++ b/runtime/go/prompty/go.mod @@ -0,0 +1,5 @@ +module prompty + +go 1.25.1 + +require gopkg.in/yaml.v3 v3.0.1 // indirect diff --git a/runtime/go/prompty/go.sum b/runtime/go/prompty/go.sum new file mode 100644 index 00000000..4bc03378 --- /dev/null +++ b/runtime/go/prompty/go.sum @@ -0,0 +1,3 @@ +gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0= +gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA= +gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= diff --git a/runtime/go/prompty/model/tool_result.go b/runtime/go/prompty/model/tool_result.go index 358e9871..fb8aa28b 100644 --- a/runtime/go/prompty/model/tool_result.go +++ b/runtime/go/prompty/model/tool_result.go @@ -13,6 +13,9 @@ import ( // // Implementations MUST support conversion from a plain string to a ToolResult // containing a single TextPart for backward compatibility. +// +// Each language runtime SHOULD provide a static `fromText(string) -> ToolResult` +// factory in its extension file. type ToolResult struct { Parts []interface{} `json:"parts" yaml:"parts"` diff --git a/runtime/python/prompty/prompty/model/_Binding.py b/runtime/python/prompty/prompty/model/_Binding.py index 74b3a964..16b97572 100644 --- a/runtime/python/prompty/prompty/model/_Binding.py +++ b/runtime/python/prompty/prompty/model/_Binding.py @@ -110,3 +110,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Connection.py b/runtime/python/prompty/prompty/model/_Connection.py index b6192635..98733764 100644 --- a/runtime/python/prompty/prompty/model/_Connection.py +++ b/runtime/python/prompty/prompty/model/_Connection.py @@ -143,6 +143,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class ReferenceConnection(Connection): """Connection configuration for AI services using named connections. @@ -247,6 +248,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class RemoteConnection(Connection): """Connection configuration for AI services using named connections. @@ -351,6 +353,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class ApiKeyConnection(Connection): """Connection configuration for AI services using API keys. @@ -455,6 +458,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class AnonymousConnection(Connection): """ @@ -552,6 +556,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class FoundryConnection(Connection): """Connection configuration for Microsoft Foundry projects. @@ -665,6 +670,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class OAuthConnection(Connection): """Connection configuration using OAuth 2.0 client credentials. @@ -791,3 +797,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ContentPart.py b/runtime/python/prompty/prompty/model/_ContentPart.py index 6db39e63..0938f82e 100644 --- a/runtime/python/prompty/prompty/model/_ContentPart.py +++ b/runtime/python/prompty/prompty/model/_ContentPart.py @@ -124,6 +124,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class TextPart(ContentPart): """A text content part. @@ -221,6 +222,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class ImagePart(ContentPart): """An image content part. The source may be a URL or base64-encoded data. @@ -332,6 +334,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class FilePart(ContentPart): """A file content part. The source may be a URL or base64-encoded data. @@ -436,6 +439,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class AudioPart(ContentPart): """An audio content part. The source may be a URL or base64-encoded data. @@ -539,3 +543,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_FormatConfig.py b/runtime/python/prompty/prompty/model/_FormatConfig.py index c92999bc..069c5d2d 100644 --- a/runtime/python/prompty/prompty/model/_FormatConfig.py +++ b/runtime/python/prompty/prompty/model/_FormatConfig.py @@ -117,3 +117,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_GuardrailResult.py b/runtime/python/prompty/prompty/model/_GuardrailResult.py index ee2aaa9a..5946e5a3 100644 --- a/runtime/python/prompty/prompty/model/_GuardrailResult.py +++ b/runtime/python/prompty/prompty/model/_GuardrailResult.py @@ -115,3 +115,28 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + + @classmethod + def rewrite(cls, rewrite: Any) -> "GuardrailResult": + """Create a GuardrailResult with preset field values.""" + instance = cls() + instance.allowed = True + instance.rewrite = rewrite + return instance + + @classmethod + def deny(cls, reason: str) -> "GuardrailResult": + """Create a GuardrailResult with preset field values.""" + instance = cls() + instance.allowed = False + instance.reason = reason + return instance + + @classmethod + def allow(cls) -> "GuardrailResult": + """Create a GuardrailResult with preset field values.""" + instance = cls() + instance.allowed = True + return instance + + diff --git a/runtime/python/prompty/prompty/model/_McpApprovalMode.py b/runtime/python/prompty/prompty/model/_McpApprovalMode.py index 4afde5a1..ed407bda 100644 --- a/runtime/python/prompty/prompty/model/_McpApprovalMode.py +++ b/runtime/python/prompty/prompty/model/_McpApprovalMode.py @@ -119,3 +119,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Message.py b/runtime/python/prompty/prompty/model/_Message.py index 314c5b04..517fb37e 100644 --- a/runtime/python/prompty/prompty/model/_Message.py +++ b/runtime/python/prompty/prompty/model/_Message.py @@ -139,3 +139,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Model.py b/runtime/python/prompty/prompty/model/_Model.py index 431bee5b..0b48e770 100644 --- a/runtime/python/prompty/prompty/model/_Model.py +++ b/runtime/python/prompty/prompty/model/_Model.py @@ -135,3 +135,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ModelInfo.py b/runtime/python/prompty/prompty/model/_ModelInfo.py index a1c79556..224f1f05 100644 --- a/runtime/python/prompty/prompty/model/_ModelInfo.py +++ b/runtime/python/prompty/prompty/model/_ModelInfo.py @@ -146,3 +146,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ModelOptions.py b/runtime/python/prompty/prompty/model/_ModelOptions.py index 01583188..9bbbfafa 100644 --- a/runtime/python/prompty/prompty/model/_ModelOptions.py +++ b/runtime/python/prompty/prompty/model/_ModelOptions.py @@ -162,3 +162,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ParserConfig.py b/runtime/python/prompty/prompty/model/_ParserConfig.py index 2152f276..7e7d4f8b 100644 --- a/runtime/python/prompty/prompty/model/_ParserConfig.py +++ b/runtime/python/prompty/prompty/model/_ParserConfig.py @@ -110,3 +110,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Prompty.py b/runtime/python/prompty/prompty/model/_Prompty.py index 9ac11cf3..36b57886 100644 --- a/runtime/python/prompty/prompty/model/_Prompty.py +++ b/runtime/python/prompty/prompty/model/_Prompty.py @@ -285,3 +285,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Property.py b/runtime/python/prompty/prompty/model/_Property.py index c4af353e..a150278a 100644 --- a/runtime/python/prompty/prompty/model/_Property.py +++ b/runtime/python/prompty/prompty/model/_Property.py @@ -179,6 +179,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class ArrayProperty(Property): """Represents an array property. @@ -277,6 +278,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class ObjectProperty(Property): """Represents an object property. @@ -398,3 +400,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_StreamChunk.py b/runtime/python/prompty/prompty/model/_StreamChunk.py index 542b3487..a30de00a 100644 --- a/runtime/python/prompty/prompty/model/_StreamChunk.py +++ b/runtime/python/prompty/prompty/model/_StreamChunk.py @@ -125,6 +125,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class TextChunk(StreamChunk): """A text content chunk from the LLM response stream. @@ -222,6 +223,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class ThinkingChunk(StreamChunk): """A thinking/reasoning content chunk from the LLM response stream. @@ -319,6 +321,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class ToolChunk(StreamChunk): """A tool call chunk from the LLM response stream. @@ -416,6 +419,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class ErrorChunk(StreamChunk): """An error chunk from the LLM response stream. @@ -512,3 +516,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Template.py b/runtime/python/prompty/prompty/model/_Template.py index dad53000..5bc2a182 100644 --- a/runtime/python/prompty/prompty/model/_Template.py +++ b/runtime/python/prompty/prompty/model/_Template.py @@ -115,3 +115,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_Tool.py b/runtime/python/prompty/prompty/model/_Tool.py index f07d0f5c..d25a1519 100644 --- a/runtime/python/prompty/prompty/model/_Tool.py +++ b/runtime/python/prompty/prompty/model/_Tool.py @@ -196,6 +196,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class FunctionTool(Tool): """Represents a local function tool. @@ -324,6 +325,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class CustomTool(Tool): """Represents a generic server tool that runs on a server @@ -432,6 +434,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class McpTool(Tool): """The MCP Server tool. @@ -557,6 +560,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class OpenApiTool(Tool): """ @@ -661,6 +665,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: return context.to_json(self.save(context), indent) + @dataclass class PromptyTool(Tool): """A tool that references another .prompty file to be invoked as a tool. @@ -763,3 +768,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ToolCall.py b/runtime/python/prompty/prompty/model/_ToolCall.py index a9a8aa7b..1bec3385 100644 --- a/runtime/python/prompty/prompty/model/_ToolCall.py +++ b/runtime/python/prompty/prompty/model/_ToolCall.py @@ -114,3 +114,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/prompty/model/_ToolResult.py b/runtime/python/prompty/prompty/model/_ToolResult.py index c9faec85..44fd7589 100644 --- a/runtime/python/prompty/prompty/model/_ToolResult.py +++ b/runtime/python/prompty/prompty/model/_ToolResult.py @@ -19,6 +19,9 @@ class ToolResult: Implementations MUST support conversion from a plain string to a ToolResult containing a single TextPart for backward compatibility. + Each language runtime SHOULD provide a static `fromText(string) -> ToolResult` + factory in its extension file. + Attributes ---------- parts : list[ContentPart] @@ -128,3 +131,4 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: context = SaveContext() return context.to_json(self.save(context), indent) + diff --git a/runtime/python/prompty/tests/model/test_foundry_connection.py b/runtime/python/prompty/tests/model/test_foundry_connection.py index 23cb1a82..87fa6475 100644 --- a/runtime/python/prompty/tests/model/test_foundry_connection.py +++ b/runtime/python/prompty/tests/model/test_foundry_connection.py @@ -1,6 +1,5 @@ import json - import yaml from prompty.model import FoundryConnection diff --git a/runtime/rust/prompty/src/model/guardrail_result.rs b/runtime/rust/prompty/src/model/guardrail_result.rs index 71842285..41190d44 100644 --- a/runtime/rust/prompty/src/model/guardrail_result.rs +++ b/runtime/rust/prompty/src/model/guardrail_result.rs @@ -71,6 +71,30 @@ impl GuardrailResult { pub fn to_yaml(&self, ctx: &SaveContext) -> Result { serde_yaml::to_string(&self.to_value(ctx)) } + /// Create a GuardrailResult with preset field values. + pub fn rewrite(rewrite: impl Into) -> Self { + Self { + allowed: true, + reason: None, + rewrite: Some(rewrite.into()), + } + } + /// Create a GuardrailResult with preset field values. + pub fn deny(reason: impl Into) -> Self { + Self { + allowed: false, + reason: Some(reason.into()), + rewrite: None, + } + } + /// Create a GuardrailResult with preset field values. + pub fn allow() -> Self { + Self { + allowed: true, + reason: None, + rewrite: None, + } + } } diff --git a/runtime/rust/prompty/src/model/message.rs b/runtime/rust/prompty/src/model/message.rs index c9bdb903..bfedc0d6 100644 --- a/runtime/rust/prompty/src/model/message.rs +++ b/runtime/rust/prompty/src/model/message.rs @@ -114,5 +114,10 @@ impl Message { self.metadata.as_object() } } +/// Helpers for [`Message`]. Implement in a separate file. +pub trait MessageHelpers { + /// Concatenate all TextPart values joined by newline + fn text(&self) -> String; +} diff --git a/runtime/rust/prompty/src/model/tool_result.rs b/runtime/rust/prompty/src/model/tool_result.rs index 6322b992..7cc56118 100644 --- a/runtime/rust/prompty/src/model/tool_result.rs +++ b/runtime/rust/prompty/src/model/tool_result.rs @@ -8,7 +8,7 @@ use super::content_part::ContentPart; -/// The result of a tool execution. Contains a list of content parts, enabling rich tool results (text, images, files, audio) rather than just strings. Implementations MUST support conversion from a plain string to a ToolResult containing a single TextPart for backward compatibility. +/// The result of a tool execution. Contains a list of content parts, enabling rich tool results (text, images, files, audio) rather than just strings. Implementations MUST support conversion from a plain string to a ToolResult containing a single TextPart for backward compatibility. Each language runtime SHOULD provide a static `fromText(string) -> ToolResult` factory in its extension file. #[derive(Debug, Clone, Default)] pub struct ToolResult { /// The content parts of the tool result diff --git a/runtime/typescript/packages/core/src/model/guardrail-result.ts b/runtime/typescript/packages/core/src/model/guardrail-result.ts index e4817634..526e3b53 100644 --- a/runtime/typescript/packages/core/src/model/guardrail-result.ts +++ b/runtime/typescript/packages/core/src/model/guardrail-result.ts @@ -164,4 +164,37 @@ export class GuardrailResult { } //#endregion + + //#region Factory Methods + + /** + * Create a GuardrailResult with preset field values. + */ + static rewrite(rewrite: unknown): GuardrailResult { + return new GuardrailResult({ + allowed: true, + rewrite: rewrite, + }); + } + + /** + * Create a GuardrailResult with preset field values. + */ + static deny(reason: string): GuardrailResult { + return new GuardrailResult({ + allowed: false, + reason: reason, + }); + } + + /** + * Create a GuardrailResult with preset field values. + */ + static allow(): GuardrailResult { + return new GuardrailResult({ + allowed: true, + }); + } + + //#endregion } diff --git a/runtime/typescript/packages/core/src/model/tool-result.ts b/runtime/typescript/packages/core/src/model/tool-result.ts index 65129240..3bd753a3 100644 --- a/runtime/typescript/packages/core/src/model/tool-result.ts +++ b/runtime/typescript/packages/core/src/model/tool-result.ts @@ -11,6 +11,9 @@ import { ContentPart } from "./content-part"; * Implementations MUST support conversion from a plain string to a ToolResult * containing a single TextPart for backward compatibility. * + * Each language runtime SHOULD provide a static `fromText(string) -> ToolResult` + * factory in its extension file. + * */ export class ToolResult { /** diff --git a/schema/emitter/src/ast.ts b/schema/emitter/src/ast.ts index 8f19597e..b1da7638 100644 --- a/schema/emitter/src/ast.ts +++ b/schema/emitter/src/ast.ts @@ -11,7 +11,7 @@ import { getNamespaceFullName, getDiscriminator, } from "@typespec/compiler"; -import { getStateScalar, getStateValue, SampleEntry } from "./decorators.js"; +import { getStateScalar, getStateValue, SampleEntry, FactoryEntry, HelperEntry } from "./decorators.js"; import { StateKeys } from "./lib.js"; @@ -70,6 +70,8 @@ export class TypeNode { public properties: PropertyNode[] = []; public isAbstract: boolean = false; public discriminator: string | undefined = undefined; + public factories: FactoryEntry[] = []; + public helpers: HelperEntry[] = []; constructor(public model: Model, description: string) { this.model = model; @@ -107,6 +109,8 @@ export class TypeNode { isAbstract: this.isAbstract, discriminator: this.discriminator, alternates: this.alternates, + factories: this.factories, + helpers: this.helpers, childTypes: this.childTypes.map(ct => ct.getSanitizedObject()), properties: this.properties.map(prop => prop.getSanitizedObject()), }; @@ -215,6 +219,9 @@ export const resolveModel = (program: Program, model: Model, visited: Set(program, StateKeys.shorthands, innerModel); + // factory and helper methods + node.factories = getStateValue(program, StateKeys.factories, innerModel); + node.helpers = getStateValue(program, StateKeys.helpers, innerModel); visited.add(innerModel.name); } else { node.typeName = getModelType(model, rootNamespace, rootAlias); @@ -224,6 +231,9 @@ export const resolveModel = (program: Program, model: Model, visited: Set(program, StateKeys.shorthands, model); + // factory and helper methods + node.factories = getStateValue(program, StateKeys.factories, model); + node.helpers = getStateValue(program, StateKeys.helpers, model); visited.add(model.name); } @@ -738,4 +748,6 @@ export interface BaseTestContext { examples: TestExample[]; /** Shorthand alternate representation tests */ alternates: AlternateTest[]; + /** Factory methods declared via @factory (for auto-generated factory tests) */ + factories: FactoryEntry[]; } diff --git a/schema/emitter/src/csharp.ts b/schema/emitter/src/csharp.ts index 459c7b01..93dd0b1d 100644 --- a/schema/emitter/src/csharp.ts +++ b/schema/emitter/src/csharp.ts @@ -180,6 +180,9 @@ const renderCSharp = (nodes: TypeNode[], node: TypeNode, classTemplate: nunjucks renderNullCoalescing: renderNullCoalescing, renderLoadProperty: renderLoadProperty(findType), renderSaveProperty: renderSaveProperty, + renderCsharpFactoryParamType: renderCsharpFactoryParamType, + renderCsharpFactoryFieldValue: renderCsharpFactoryFieldValue, + renderCsharpFactoryMethodName: (factoryName: string) => renderCsharpFactoryMethodName(factoryName, node), converterMapper: (s: string) => jsonConverterMapper[s] || `Get${s.charAt(0).toUpperCase() + s.slice(1)}`, polymorphicTypes: polymorphicTypes, collectionTypes: collectionTypes, @@ -275,6 +278,38 @@ const renderName = (name: string): string => { return pascal.charAt(0).toUpperCase() + pascal.slice(1); }; +const renderCsharpFactoryParamType = (typeStr: string): string => { + switch (typeStr) { + case "string": return "string"; + case "boolean": return "bool"; + case "integer": case "int32": return "int"; + case "int64": return "long"; + case "float": case "float32": return "float"; + case "float64": return "double"; + case "unknown": return "object?"; + default: return "object?"; + } +}; + +// Returns a factory method name that won't clash with C# property names on the same type. +// If the capitalized factory name matches a property name, prefix with "Create". +const renderCsharpFactoryMethodName = (factoryName: string, node: TypeNode): string => { + const methodName = factoryName.charAt(0).toUpperCase() + factoryName.slice(1); + const propertyNames = node.properties.map(p => renderName(p.name)); + if (propertyNames.includes(methodName)) { + return `Create${methodName}`; + } + return methodName; +}; + +const renderCsharpFactoryFieldValue = (prop: { name: string; isOptional?: boolean }, setValue: unknown): string => { + if (setValue === true) return "true"; + if (setValue === false) return "false"; + if (typeof setValue === "number") return String(setValue); + if (typeof setValue === "string") return `"${setValue}"`; + return "null"; +}; + /** * Renders the property modifier for a given property (e.g. override, virtual or even nothing) * @param node TypeNode diff --git a/schema/emitter/src/decorators.ts b/schema/emitter/src/decorators.ts index 5f5ea106..0d631476 100644 --- a/schema/emitter/src/decorators.ts +++ b/schema/emitter/src/decorators.ts @@ -155,3 +155,63 @@ export function $shorthand(context: DecoratorContext, target: Model, scalar: Typ } appendStateValue(context, StateKeys.shorthands, target, entry); } + +// ============================================================================ +// Factory and Helper decorators +// ============================================================================ + +export interface FactoryEntry { + /** Factory method name (e.g., "allow", "deny") */ + name: string; + /** Field assignments — { fieldName: value } */ + sets: Record; + /** Optional parameters — { paramName: typeString } */ + params: Record; +} + +export interface HelperEntry { + /** Helper method name (e.g., "text") */ + name: string; + /** Return type as a string (e.g., "string") */ + returns: string; + /** Human-readable description of what the helper does */ + description: string; +} + +function deserializeValue(value: unknown): any { + if (value && typeof value === 'object' && 'type' in value && (value as ObjectValue).type) { + // ObjectValue from TypeSpec — shouldn't happen with valueof but handle defensively + return value; + } + return value; +} + +export function $factory(context: DecoratorContext, target: Model, name: string, sets: object, params?: object) { + // Handle string values from valueof + const nameValue = typeof name === 'object' && name !== null && 'value' in name ? (name as StringValue).value : name as string; + + const setsValue = deserializeValue(sets) as Record; + const paramsValue = params ? deserializeValue(params) as Record : {}; + + const entry: FactoryEntry = { + name: nameValue, + sets: setsValue, + params: paramsValue, + }; + + appendStateValue(context, StateKeys.factories, target, entry); +} + +export function $helper(context: DecoratorContext, target: Model, name: string, returns: string, description?: string) { + const nameValue = typeof name === 'object' && name !== null && 'value' in name ? (name as StringValue).value : name as string; + const returnsValue = typeof returns === 'object' && returns !== null && 'value' in returns ? (returns as StringValue).value : returns as string; + const descValue = typeof description === 'object' && description !== null && 'value' in description ? (description as StringValue).value : description as string | undefined; + + const entry: HelperEntry = { + name: nameValue, + returns: returnsValue, + description: descValue ?? "", + }; + + appendStateValue(context, StateKeys.helpers, target, entry); +} diff --git a/schema/emitter/src/index.ts b/schema/emitter/src/index.ts index 8f09e599..788b6a38 100644 --- a/schema/emitter/src/index.ts +++ b/schema/emitter/src/index.ts @@ -1,4 +1,4 @@ export { $onEmit, GeneratorOptions, filterNodes } from "./emitter.js"; export { $lib } from "./lib.js"; -export { $sample, $abstract, $shorthand } from "./decorators.js"; +export { $sample, $abstract, $shorthand, $factory, $helper } from "./decorators.js"; export { generate, GenerateOptions, GenerateResult, TargetLanguage, TargetOptions } from "./generate.js"; diff --git a/schema/emitter/src/lib.ts b/schema/emitter/src/lib.ts index 844a953e..8683f81d 100644 --- a/schema/emitter/src/lib.ts +++ b/schema/emitter/src/lib.ts @@ -109,7 +109,9 @@ export const $lib = createTypeSpecLibrary({ state: { samples: { description: "Sample values for properties" }, shorthands: { description: "Shorthand models creation" }, - abstracts: { description: "Abstract models" } + abstracts: { description: "Abstract models" }, + factories: { description: "Factory methods for model construction" }, + helpers: { description: "Helper method stubs for model types" } } }); diff --git a/schema/emitter/src/lib/main.tsp b/schema/emitter/src/lib/main.tsp index c4ae9c73..ee64f76a 100644 --- a/schema/emitter/src/lib/main.tsp +++ b/schema/emitter/src/lib/main.tsp @@ -32,3 +32,41 @@ extern dec shorthand( description?: valueof string, example?: valueof unknown ); + +/** + * Declares a factory method on the target model. Factory methods are fully + * generated — the emitter produces both signature and body. The `sets` parameter + * specifies which fields to assign and their values. The optional `params` + * parameter specifies method parameters (name → type string). + * + * @example + * ```typespec + * @@factory("allow", #{ allowed: true }) + * @@factory("deny", #{ allowed: false }, #{ reason: "string" }) + * ``` + */ +extern dec factory( + target: Model, + name: valueof string, + sets: valueof unknown, + params?: valueof unknown +); + +/** + * Declares a helper method stub on the target model. Helper methods are + * stub-generated — the emitter produces the signature in the generated file + * and a create-if-missing extension file where the body must be hand-written. + * This enforces that every runtime implements the helper (compile/test failure + * if missing) while allowing language-idiomatic implementations. + * + * @example + * ```typespec + * @@helper("text", "string", "Concatenate all TextPart values joined by newline") + * ``` + */ +extern dec helper( + target: Model, + name: valueof string, + returns: valueof string, + description?: valueof string +); diff --git a/schema/emitter/src/templates/csharp/file.cs.njk b/schema/emitter/src/templates/csharp/file.cs.njk index 1fdcc3b9..2ad400e1 100644 --- a/schema/emitter/src/templates/csharp/file.cs.njk +++ b/schema/emitter/src/templates/csharp/file.cs.njk @@ -459,4 +459,27 @@ public{% if node.isAbstract %} abstract{% endif %} class {{ node.typeName.name } } #endregion +{%- if node.factories.length > 0 %} + + #region Factory Methods +{% for factory in node.factories %} + /// + /// Create a {{ node.typeName.name }} with preset field values. + /// + public static {{ node.typeName.name }} {{ renderCsharpFactoryMethodName(factory.name) }}({% for pName, pType in factory.params %}{{ renderCsharpFactoryParamType(pType) }} {{ pName }}{% if not loop.last %}, {% endif %}{% endfor %}) + { + return new {{ node.typeName.name }} + { +{%- for prop in node.properties %} +{%- if factory.sets[prop.name] is defined %} + {{ renderPropertyName(prop) }} = {{ renderCsharpFactoryFieldValue(prop, factory.sets[prop.name]) }}, +{%- elif prop.name in factory.params %} + {{ renderPropertyName(prop) }} = {{ prop.name }}, +{%- endif %} +{%- endfor %} + }; + } +{% endfor %} + #endregion +{%- endif %} } diff --git a/schema/emitter/src/templates/python/_macros.njk b/schema/emitter/src/templates/python/_macros.njk index fa84fa96..55107734 100644 --- a/schema/emitter/src/templates/python/_macros.njk +++ b/schema/emitter/src/templates/python/_macros.njk @@ -294,3 +294,44 @@ def load_{{ discriminator }}(data: dict, pre_process: Optional[Callable[[Any], A return {{ parentTypeName }}() {%- endif %} {% endmacro %} + + +{# ============================================================================ + Factory Helpers — macros for @factory-generated code + ============================================================================ #} + +{# + Map a factory parameter type string to Python type. +#} +{% macro factoryParamType(typeStr) -%} +{%- if typeStr == "string" -%} +str +{%- elif typeStr == "boolean" -%} +bool +{%- elif typeStr == "integer" or typeStr == "int32" or typeStr == "int64" -%} +int +{%- elif typeStr == "float" or typeStr == "float64" or typeStr == "float32" -%} +float +{%- elif typeStr == "unknown" -%} +Any +{%- else -%} +Any +{%- endif -%} +{%- endmacro %} + +{# + Render the value expression for a factory field assignment in Python. +#} +{% macro factoryFieldValue(prop, setValue) -%} +{%- if setValue == true -%} +True +{%- elif setValue == false -%} +False +{%- elif setValue is number -%} +{{ setValue }} +{%- elif setValue is string -%} +"{{ setValue }}" +{%- else -%} +None +{%- endif -%} +{%- endmacro %} diff --git a/schema/emitter/src/templates/python/file.py.njk b/schema/emitter/src/templates/python/file.py.njk index 1a9fabb5..d79e0042 100644 --- a/schema/emitter/src/templates/python/file.py.njk +++ b/schema/emitter/src/templates/python/file.py.njk @@ -222,4 +222,20 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % if context is None: context = SaveContext() return context.to_json(self.save(context), indent) +{% if node.factories.length > 0 %} +{% for factory in node.factories %} + @classmethod + def {{ factory.name | snakeCase }}(cls{% for pName, pType in factory.params %}, {{ pName | snakeCase }}: {{ py.factoryParamType(pType) }}{% endfor %}) -> "{{ node.typeName.name }}": + """Create a {{ node.typeName.name }} with preset field values.""" + instance = cls() +{%- for prop in node.properties %} +{%- if factory.sets[prop.name] is defined %} + instance.{{ prop.name }} = {{ py.factoryFieldValue(prop, factory.sets[prop.name]) }} +{%- elif prop.name in factory.params %} + instance.{{ prop.name }} = {{ prop.name | snakeCase }} +{%- endif %} +{%- endfor %} + return instance +{% endfor %} +{%- endif %} {% endfor %} diff --git a/schema/emitter/src/templates/rust/_macros.njk b/schema/emitter/src/templates/rust/_macros.njk index 7bddb4ab..71466e70 100644 --- a/schema/emitter/src/templates/rust/_macros.njk +++ b/schema/emitter/src/templates/rust/_macros.njk @@ -527,3 +527,76 @@ Default::default() {%- endif %} {%- endif %} {%- endmacro %} + + +{# ================================================================ + FACTORY HELPERS — macros for @factory-generated code + ================================================================ #} + +{# + Map a factory parameter type string to Rust type. + "string" -> impl Into, "unknown" -> impl Into, etc. +#} +{% macro factoryParamType(typeStr) -%} +{%- if typeStr == "string" -%} +impl Into +{%- elif typeStr == "boolean" -%} +bool +{%- elif typeStr == "integer" or typeStr == "int32" -%} +i32 +{%- elif typeStr == "float" or typeStr == "float64" -%} +f64 +{%- elif typeStr == "unknown" -%} +impl Into +{%- else -%} +impl Into +{%- endif -%} +{%- endmacro %} + +{# + Render the value expression for a factory field assignment. + prop: PropertyNode, setValue: the value from @factory sets, params: factory params dict +#} +{% macro factoryFieldValue(prop, setValue, params) -%} +{%- if setValue == true -%} +true +{%- elif setValue == false -%} +false +{%- elif setValue is number -%} +{{ setValue }} +{%- elif setValue is string -%} +"{{ setValue }}".to_string() +{%- else -%} +Default::default() +{%- endif -%} +{%- endmacro %} + +{# + Convert a factory parameter to the field type. + For string params assigned to Option fields: Some(name.into()) + For unknown params assigned to Option fields: Some(name.into()) +#} +{% macro factoryParamConvert(prop, paramName) -%} +{%- if prop.isOptional -%} +Some({{ paramName | snakeCase }}.into()) +{%- else -%} +{{ paramName | snakeCase }}.into() +{%- endif -%} +{%- endmacro %} + +{# + Map a helper return type string to Rust type. +#} +{% macro helperReturnType(typeStr) -%} +{%- if typeStr == "string" -%} +String +{%- elif typeStr == "boolean" or typeStr == "bool" -%} +bool +{%- elif typeStr == "integer" or typeStr == "int32" -%} +i32 +{%- elif typeStr == "float" or typeStr == "float64" -%} +f64 +{%- else -%} +serde_json::Value +{%- endif -%} +{%- endmacro %} diff --git a/schema/emitter/src/templates/rust/file.rs.njk b/schema/emitter/src/templates/rust/file.rs.njk index 812d0a48..0e78e417 100644 --- a/schema/emitter/src/templates/rust/file.rs.njk +++ b/schema/emitter/src/templates/rust/file.rs.njk @@ -339,7 +339,41 @@ impl {{ class.node.typeName.name }} { {%- endif %} {%- endfor %} + +{#- ================================================================ + FACTORY METHODS — fully generated from @factory decorators + ================================================================ -#} +{%- for factory in class.node.factories %} + /// Create a {{ class.node.typeName.name }} with preset field values. + pub fn {{ factory.name | snakeCase }}({% for pName, pType in factory.params %}{{ pName | snakeCase }}: {{ rust.factoryParamType(pType) }}{% if not loop.last %}, {% endif %}{% endfor %}) -> Self { + Self { +{%- for prop in class.node.properties %} +{%- if factory.sets[prop.name] is defined %} + {{ prop.name | snakeCase }}: {{ rust.factoryFieldValue(prop, factory.sets[prop.name], factory.params) }}, +{%- elif prop.name in factory.params %} + {{ prop.name | snakeCase }}: {{ rust.factoryParamConvert(prop, prop.name) }}, +{%- else %} + {{ prop.name | snakeCase }}: {{ rust.defaultValue(prop, typeMapper, polymorphicTypeNames) | trim }}, +{%- endif %} +{%- endfor %} + } + } +{%- endfor %} +} + +{#- ================================================================ + HELPER TRAIT — stub declaration from @helper decorators. + Implementation must be provided in a separate extension file. + ================================================================ -#} +{%- if class.node.helpers.length > 0 %} +/// Helpers for [`{{ class.node.typeName.name }}`]. Implement in a separate file. +pub trait {{ class.node.typeName.name }}Helpers { +{%- for helper in class.node.helpers %} + /// {{ helper.description }} + fn {{ helper.name | snakeCase }}(&self) -> {{ rust.helperReturnType(helper.returns) }}; +{%- endfor %} } +{%- endif -%} {%- endif %} {% endfor %} diff --git a/schema/emitter/src/templates/typescript/_macros.njk b/schema/emitter/src/templates/typescript/_macros.njk index 075ece35..69cd64b3 100644 --- a/schema/emitter/src/templates/typescript/_macros.njk +++ b/schema/emitter/src/templates/typescript/_macros.njk @@ -163,3 +163,44 @@ Record {% macro kebabCase(str) -%} {{ str | lower | replace("_", "-") }} {%- endmacro %} + + +{# ============================================================================ + Factory Helpers — macros for @factory-generated code + ============================================================================ #} + +{# + Map a factory parameter type string to TypeScript type. +#} +{% macro factoryParamType(typeStr) -%} +{%- if typeStr == "string" -%} +string +{%- elif typeStr == "boolean" -%} +boolean +{%- elif typeStr == "integer" or typeStr == "int32" or typeStr == "int64" -%} +number +{%- elif typeStr == "float" or typeStr == "float64" or typeStr == "float32" -%} +number +{%- elif typeStr == "unknown" -%} +unknown +{%- else -%} +unknown +{%- endif -%} +{%- endmacro %} + +{# + Render the value expression for a factory field assignment in TypeScript. +#} +{% macro factoryFieldValue(prop, setValue) -%} +{%- if setValue == true -%} +true +{%- elif setValue == false -%} +false +{%- elif setValue is number -%} +{{ setValue }} +{%- elif setValue is string -%} +"{{ setValue }}" +{%- else -%} +undefined +{%- endif -%} +{%- endmacro %} diff --git a/schema/emitter/src/templates/typescript/file.ts.njk b/schema/emitter/src/templates/typescript/file.ts.njk index b3d6072c..51c6335a 100644 --- a/schema/emitter/src/templates/typescript/file.ts.njk +++ b/schema/emitter/src/templates/typescript/file.ts.njk @@ -372,5 +372,26 @@ export {% if node.isAbstract %}abstract {% endif %}class {{ node.typeName.name } } //#endregion +{%- if node.factories.length > 0 %} + + //#region Factory Methods +{% for factory in node.factories %} + /** + * Create a {{ node.typeName.name }} with preset field values. + */ + static {{ factory.name }}({% for pName, pType in factory.params %}{{ pName }}: {{ ts.factoryParamType(pType) }}{% if not loop.last %}, {% endif %}{% endfor %}): {{ node.typeName.name }} { + return new {{ node.typeName.name }}({ +{%- for prop in node.properties %} +{%- if factory.sets[prop.name] is defined %} + {{ prop.name }}: {{ ts.factoryFieldValue(prop, factory.sets[prop.name]) }}, +{%- elif prop.name in factory.params %} + {{ prop.name }}: {{ prop.name }}, +{%- endif %} +{%- endfor %} + }); + } +{% endfor %} + //#endregion +{%- endif %} } {% endfor %} diff --git a/schema/emitter/src/test-context.ts b/schema/emitter/src/test-context.ts index 3f5c7698..4943f610 100644 --- a/schema/emitter/src/test-context.ts +++ b/schema/emitter/src/test-context.ts @@ -57,6 +57,7 @@ export function buildBaseTestContext( package: packageName, examples, alternates, + factories: node.factories, }; } diff --git a/schema/model/guardrails.tsp b/schema/model/guardrails.tsp index 9b7a18cc..7452a3fe 100644 --- a/schema/model/guardrails.tsp +++ b/schema/model/guardrails.tsp @@ -12,6 +12,9 @@ alias GuardrailPhase = "input" | "output" | "tool"; * run at specific phases of the agent loop and can allow, deny, or rewrite * content. */ +@factory("allow", #{ allowed: true }) +@factory("deny", #{ allowed: false }, #{ reason: "string" }) +@factory("rewrite", #{ allowed: true }, #{ rewrite: "unknown" }) model GuardrailResult { @doc("Whether the content passed the guardrail check") @sample(#{ allowed: true }) diff --git a/schema/model/message.tsp b/schema/model/message.tsp index ae7e35b9..bbdcdd65 100644 --- a/schema/model/message.tsp +++ b/schema/model/message.tsp @@ -91,6 +91,7 @@ model AudioPart extends ContentPart { * A message in a conversation. Messages have a role and a list of content parts * representing the different modalities of the message content. */ +@helper("text", "string", "Concatenate all TextPart values joined by newline") model Message { @doc("The role of the message sender") @sample(#{ role: "user" }) @@ -129,6 +130,9 @@ model ToolCall { * * Implementations MUST support conversion from a plain string to a ToolResult * containing a single TextPart for backward compatibility. + * + * Each language runtime SHOULD provide a static `fromText(string) -> ToolResult` + * factory in its extension file. */ model ToolResult { @doc("The content parts of the tool result") diff --git a/vscode/prompty/schemas/ToolResult.yaml b/vscode/prompty/schemas/ToolResult.yaml index a4f3a2db..cd392dde 100644 --- a/vscode/prompty/schemas/ToolResult.yaml +++ b/vscode/prompty/schemas/ToolResult.yaml @@ -15,3 +15,6 @@ description: |- Implementations MUST support conversion from a plain string to a ToolResult containing a single TextPart for backward compatibility. + + Each language runtime SHOULD provide a static `fromText(string) -> ToolResult` + factory in its extension file. diff --git a/web/src/content/docs/reference/ToolResult.md b/web/src/content/docs/reference/ToolResult.md index 18405512..a4dd2efb 100644 --- a/web/src/content/docs/reference/ToolResult.md +++ b/web/src/content/docs/reference/ToolResult.md @@ -10,6 +10,9 @@ rich tool results (text, images, files, audio) rather than just strings. Implementations MUST support conversion from a plain string to a ToolResult containing a single TextPart for backward compatibility. +Each language runtime SHOULD provide a static `fromText(string) -> ToolResult` +factory in its extension file. + ## Class Diagram ```mermaid From c1a905c040022a60deb31772024f77434c2e7434 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 13:53:31 -0700 Subject: [PATCH 04/85] feat: replace hand-written GuardrailResult with generated model type across all runtimes Remove duplicative GuardrailResult definitions from all 4 runtimes and replace with the TypeSpec-emitted model type, using generated factory methods everywhere. Rust: - Remove struct+impl from guardrails.rs, re-export from crate::model - All 538 tests passing TypeScript: - Remove interface from core/guardrails.ts, import generated class - Update all callsites to use GuardrailResult.allow(), .deny(), .rewrite() - Add type assertions for rewrite (unknown vs Message[]) in pipeline.ts - All 371 tests passing Python: - Remove dataclass from core/guardrails.py, import from prompty.model - Add __post_init__ to fix rewrite field/classmethod name collision - Update all callsites to factory methods - All 316 tests passing (1 pre-existing anthropic skip) C#: - Remove hand-written record from Guardrails.cs - Update to Allow(), Deny(), CreateRewrite() factory methods - Pre-existing duplicate type errors in Types.cs unchanged Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../AgentExtensionsTests.cs | 6 +- .../AgentLoopIntegrationTests.cs | 10 ++-- runtime/csharp/Prompty.Core/Guardrails.cs | 9 +-- .../SpecVectorAgentTests.cs | 8 +-- .../python/prompty/prompty/core/guardrails.py | 34 ++--------- .../prompty/prompty/model/_GuardrailResult.py | 6 ++ .../prompty/tests/test_agent_extensions.py | 23 ++++---- .../python/prompty/tests/test_spec_vectors.py | 10 ++-- runtime/rust/prompty/src/guardrails.rs | 47 +--------------- .../packages/core/src/core/guardrails.ts | 15 ++--- .../packages/core/src/core/index.ts | 2 +- .../packages/core/src/core/pipeline.ts | 4 +- runtime/typescript/packages/core/src/index.ts | 2 +- .../core/tests/agent-extensions.test.ts | 56 +++++++++---------- .../packages/core/tests/spec-vectors.test.ts | 11 ++-- 15 files changed, 88 insertions(+), 155 deletions(-) diff --git a/runtime/csharp/Prompty.Core.Tests/AgentExtensionsTests.cs b/runtime/csharp/Prompty.Core.Tests/AgentExtensionsTests.cs index 0a5a1227..355717e5 100644 --- a/runtime/csharp/Prompty.Core.Tests/AgentExtensionsTests.cs +++ b/runtime/csharp/Prompty.Core.Tests/AgentExtensionsTests.cs @@ -266,7 +266,7 @@ public void CheckInput_CallsInputHook() { List? capturedMessages = null; var guard = new Guardrails( - input: msgs => { capturedMessages = msgs; return new GuardrailResult(false, "blocked"); }); + input: msgs => { capturedMessages = msgs; return GuardrailResult.Deny("blocked"); }); var messages = new List { @@ -285,7 +285,7 @@ public void CheckOutput_CallsOutputHook() { Message? capturedMessage = null; var guard = new Guardrails( - output: msg => { capturedMessage = msg; return new GuardrailResult(true); }); + output: msg => { capturedMessage = msg; return GuardrailResult.Allow(); }); var msg = new Message { Role = "assistant", Parts = [new TextPart { Value = "response" }] }; @@ -305,7 +305,7 @@ public void CheckTool_CallsToolHook() { capturedName = name; capturedArgs = args; - return new GuardrailResult(false, "tool not allowed"); + return GuardrailResult.Deny("tool not allowed"); }); var args = new Dictionary { ["city"] = "Seattle" }; diff --git a/runtime/csharp/Prompty.Core.Tests/AgentLoopIntegrationTests.cs b/runtime/csharp/Prompty.Core.Tests/AgentLoopIntegrationTests.cs index e80f8a8f..073358ff 100644 --- a/runtime/csharp/Prompty.Core.Tests/AgentLoopIntegrationTests.cs +++ b/runtime/csharp/Prompty.Core.Tests/AgentLoopIntegrationTests.cs @@ -198,7 +198,7 @@ public async Task InputGuardrail_DeniesFirstTurn_ThrowsGuardrailError_ExecutorNe var agent = AgentLoopHelper.CreateAgent(); var guardrails = new Guardrails( - input: _ => new GuardrailResult(false, "blocked by policy")); + input: _ => GuardrailResult.Deny("blocked by policy")); var ex = await Assert.ThrowsAsync(() => Pipeline.TurnAsync(agent, guardrails: guardrails)); @@ -282,7 +282,7 @@ public async Task InputGuardrail_RewritesMessages_ExecutorSeesRewritten() }; var guardrails = new Guardrails( - input: _ => new GuardrailResult(true, Rewrite: rewritten)); + input: _ => GuardrailResult.CreateRewrite(rewritten)); var result = await Pipeline.TurnAsync(agent, guardrails: guardrails); @@ -307,7 +307,7 @@ public async Task OutputGuardrail_DeniesResponse_ThrowsGuardrailError() var agent = AgentLoopHelper.CreateAgent(); var guardrails = new Guardrails( - output: msg => new GuardrailResult(false, "output policy violation")); + output: msg => GuardrailResult.Deny("output policy violation")); var ex = await Assert.ThrowsAsync(() => Pipeline.TurnAsync(agent, guardrails: guardrails)); @@ -327,7 +327,7 @@ public async Task OutputGuardrail_RewritesResponse_ReturnsSanitised() var agent = AgentLoopHelper.CreateAgent(); var guardrails = new Guardrails( - output: _ => new GuardrailResult(true, Rewrite: "redacted answer")); + output: _ => GuardrailResult.CreateRewrite("redacted answer")); var result = await Pipeline.TurnAsync(agent, guardrails: guardrails); @@ -367,7 +367,7 @@ public async Task ToolGuardrail_RewritesArgs_ToolReceivesRewrittenArgs() var rewrittenArgs = new Dictionary { ["city"] = "Seattle" }; var guardrails = new Guardrails( - tool: (name, args) => new GuardrailResult(true, Rewrite: rewrittenArgs)); + tool: (name, args) => GuardrailResult.CreateRewrite(rewrittenArgs)); var result = await Pipeline.TurnAsync(agent, tools: tools, guardrails: guardrails); diff --git a/runtime/csharp/Prompty.Core/Guardrails.cs b/runtime/csharp/Prompty.Core/Guardrails.cs index 23f3d792..8267aa35 100644 --- a/runtime/csharp/Prompty.Core/Guardrails.cs +++ b/runtime/csharp/Prompty.Core/Guardrails.cs @@ -2,9 +2,6 @@ namespace Prompty.Core; -/// §13.4 Result of a guardrail check. -public record GuardrailResult(bool Allowed, string? Reason = null, object? Rewrite = null); - /// Error thrown when a guardrail denies the operation. public class GuardrailError : Exception { @@ -33,11 +30,11 @@ public Guardrails( } public GuardrailResult CheckInput(List messages) - => _inputHook?.Invoke(messages) ?? new GuardrailResult(true); + => _inputHook?.Invoke(messages) ?? GuardrailResult.Allow(); public GuardrailResult CheckOutput(Message message) - => _outputHook?.Invoke(message) ?? new GuardrailResult(true); + => _outputHook?.Invoke(message) ?? GuardrailResult.Allow(); public GuardrailResult CheckTool(string name, Dictionary args) - => _toolHook?.Invoke(name, args) ?? new GuardrailResult(true); + => _toolHook?.Invoke(name, args) ?? GuardrailResult.Allow(); } diff --git a/runtime/csharp/Prompty.Providers.Tests/SpecVectorAgentTests.cs b/runtime/csharp/Prompty.Providers.Tests/SpecVectorAgentTests.cs index 92df5b0b..bea6047c 100644 --- a/runtime/csharp/Prompty.Providers.Tests/SpecVectorAgentTests.cs +++ b/runtime/csharp/Prompty.Providers.Tests/SpecVectorAgentTests.cs @@ -339,13 +339,13 @@ public async Task AgentLoop_ExtensionVectors(string _name, JsonElement input, Js { var action = ig.TryGetProperty("action", out var actProp) ? actProp.GetString() : "allow"; var reason = ig.TryGetProperty("reason", out var rp) ? rp.GetString() : null; - inputGuard = _ => new GuardrailResult(action != "deny", reason); + inputGuard = _ => new GuardrailResult { Allowed = action != "deny", Reason = reason }; } if (guardProp.TryGetProperty("output", out var og)) { var action = og.TryGetProperty("action", out var actProp) ? actProp.GetString() : "allow"; var reason = og.TryGetProperty("reason", out var rp) ? rp.GetString() : null; - outputGuard = _ => new GuardrailResult(action != "deny", reason); + outputGuard = _ => new GuardrailResult { Allowed = action != "deny", Reason = reason }; } if (guardProp.TryGetProperty("tool", out var tg)) { @@ -355,8 +355,8 @@ public async Task AgentLoop_ExtensionVectors(string _name, JsonElement input, Js denyTools.Add(d.GetString()!); var reason = tg.TryGetProperty("reason", out var rp) ? rp.GetString() : "Tool denied"; toolGuard = (name, _) => denyTools.Contains(name) - ? new GuardrailResult(false, reason) - : new GuardrailResult(true); + ? GuardrailResult.Deny(reason ?? "Tool denied") + : GuardrailResult.Allow(); } guardrails = new Guardrails(input: inputGuard, output: outputGuard, tool: toolGuard); diff --git a/runtime/python/prompty/prompty/core/guardrails.py b/runtime/python/prompty/prompty/core/guardrails.py index 96520af2..6f435f64 100644 --- a/runtime/python/prompty/prompty/core/guardrails.py +++ b/runtime/python/prompty/prompty/core/guardrails.py @@ -12,9 +12,9 @@ from __future__ import annotations from collections.abc import Callable -from dataclasses import dataclass from typing import Any +from ..model import GuardrailResult from .types import Message __all__ = [ @@ -32,28 +32,6 @@ def __init__(self, reason: str) -> None: super().__init__(f"Guardrail denied: {reason}") -@dataclass -class GuardrailResult: - """Result of a guardrail check. - - Attributes - ---------- - allowed: - Whether the operation is allowed. - reason: - Required when ``allowed`` is ``False`` — explains the denial. - rewrite: - Optional rewritten content when ``allowed`` is ``True``. - For input guardrails: replacement message list. - For output guardrails: replacement assistant content. - For tool guardrails: replacement tool arguments dict. - """ - - allowed: bool - reason: str | None = None - rewrite: Any | None = None - - # Callback signatures for the three guardrail hooks InputGuardrail = Callable[[list[Message]], GuardrailResult] OutputGuardrail = Callable[[Message], GuardrailResult] @@ -66,8 +44,8 @@ class Guardrails: Example ------- >>> guardrails = Guardrails( - ... input=lambda msgs: GuardrailResult(allowed=len(msgs) < 100, reason="Too many messages"), - ... tool=lambda name, args: GuardrailResult(allowed=name != "dangerous", reason="Blocked"), + ... input=lambda msgs: GuardrailResult.allow() if len(msgs) < 100 else GuardrailResult.deny("Too many messages"), + ... tool=lambda name, args: GuardrailResult.deny("Blocked") if name == "dangerous" else GuardrailResult.allow(), ... ) """ @@ -85,17 +63,17 @@ def __init__( def check_input(self, messages: list[Message]) -> GuardrailResult: """Check input guardrail. Returns allowed if no guardrail set.""" if self.input is None: - return GuardrailResult(allowed=True) + return GuardrailResult.allow() return self.input(messages) def check_output(self, message: Message) -> GuardrailResult: """Check output guardrail. Returns allowed if no guardrail set.""" if self.output is None: - return GuardrailResult(allowed=True) + return GuardrailResult.allow() return self.output(message) def check_tool(self, name: str, arguments: dict[str, Any]) -> GuardrailResult: """Check tool guardrail. Returns allowed if no guardrail set.""" if self.tool is None: - return GuardrailResult(allowed=True) + return GuardrailResult.allow() return self.tool(name, arguments) diff --git a/runtime/python/prompty/prompty/model/_GuardrailResult.py b/runtime/python/prompty/prompty/model/_GuardrailResult.py index 5946e5a3..19eab5a0 100644 --- a/runtime/python/prompty/prompty/model/_GuardrailResult.py +++ b/runtime/python/prompty/prompty/model/_GuardrailResult.py @@ -32,6 +32,12 @@ class GuardrailResult: reason: str | None = None rewrite: Any | None = None + def __post_init__(self) -> None: + # The @classmethod 'rewrite' shadows the dataclass field default, + # causing the default value to be the bound method instead of None. + if callable(self.rewrite): + self.rewrite = None + @staticmethod def load(data: Any, context: LoadContext | None = None) -> "GuardrailResult": """Load a GuardrailResult instance. diff --git a/runtime/python/prompty/tests/test_agent_extensions.py b/runtime/python/prompty/tests/test_agent_extensions.py index 965acefe..0d88fbe9 100644 --- a/runtime/python/prompty/tests/test_agent_extensions.py +++ b/runtime/python/prompty/tests/test_agent_extensions.py @@ -249,11 +249,11 @@ class TestGuardrails: """Guardrail hooks at input, output, and tool check points.""" def test_guardrail_result_allowed(self): - r = GuardrailResult(allowed=True) + r = GuardrailResult.allow() assert r.allowed def test_guardrail_result_denied(self): - r = GuardrailResult(allowed=False, reason="PII detected") + r = GuardrailResult.deny("PII detected") assert not r.allowed assert r.reason == "PII detected" @@ -268,7 +268,7 @@ def test_guardrails_defaults_allow(self): def test_input_guardrail_blocks(self, mock_prepare, mock_exec): mock_exec.return_value = _mock_tool_call_response() agent = _make_agent() - g = Guardrails(input=lambda msgs: GuardrailResult(allowed=False, reason="blocked")) + g = Guardrails(input=lambda msgs: GuardrailResult.deny("blocked")) with pytest.raises(GuardrailError, match="blocked"): turn(agent, {}, tools={"get_weather": lambda **kw: "sunny"}, guardrails=g) @@ -285,7 +285,7 @@ def test_output_guardrail_blocks(self, mock_process, mock_prepare, mock_exec): agent = _make_agent() # Output guardrail denies after tool iteration - g = Guardrails(output=lambda msg: GuardrailResult(allowed=False, reason="toxic")) + g = Guardrails(output=lambda msg: GuardrailResult.deny("toxic")) with pytest.raises(GuardrailError, match="toxic"): turn(agent, {}, tools={"get_weather": lambda **kw: "sunny"}, guardrails=g) @@ -299,7 +299,7 @@ def test_tool_guardrail_denies(self, mock_process, mock_prepare, mock_exec): agent = _make_agent() events: list[tuple[str, Any]] = [] - g = Guardrails(tool=lambda name, args: GuardrailResult(allowed=False, reason="disallowed")) + g = Guardrails(tool=lambda name, args: GuardrailResult.deny("disallowed")) turn( agent, @@ -474,7 +474,7 @@ def test_first_turn_guardrail_denial(self, mock_prepare, mock_exec): """Input guardrail denying on the FIRST turn raises GuardrailError before the executor is ever called.""" agent = _make_agent() - g = Guardrails(input=lambda msgs: GuardrailResult(allowed=False, reason="first-turn block")) + g = Guardrails(input=lambda msgs: GuardrailResult.deny("first-turn block")) with pytest.raises(GuardrailError, match="first-turn block"): turn(agent, {}, tools={"get_weather": lambda **kw: "sunny"}, guardrails=g) @@ -562,7 +562,7 @@ def capturing_executor(a, msgs): mock_exec.side_effect = capturing_executor - g = Guardrails(input=lambda msgs: GuardrailResult(allowed=True, rewrite=rewritten)) + g = Guardrails(input=lambda msgs: GuardrailResult.rewrite(rewritten)) agent = _make_agent() turn(agent, {}, tools={}, guardrails=g) @@ -582,7 +582,7 @@ def test_output_guardrail_denies_final_response(self, mock_process, mock_prepare raises GuardrailError.""" mock_exec.return_value = _mock_final_response("bad output") agent = _make_agent() - g = Guardrails(output=lambda msg: GuardrailResult(allowed=False, reason="toxic content")) + g = Guardrails(output=lambda msg: GuardrailResult.deny("toxic content")) with pytest.raises(GuardrailError, match="toxic content"): turn(agent, {}, tools={}, guardrails=g) @@ -595,7 +595,7 @@ def test_output_guardrail_rewrites_final_response(self, mock_process, mock_prepa to be returned instead of the original.""" mock_exec.return_value = _mock_final_response("original response") agent = _make_agent() - g = Guardrails(output=lambda msg: GuardrailResult(allowed=True, rewrite="sanitized response")) + g = Guardrails(output=lambda msg: GuardrailResult.rewrite("sanitized response")) result = turn(agent, {}, tools={}, guardrails=g) assert result == "sanitized response" @@ -618,10 +618,7 @@ def tracking_tool(**kwargs: Any) -> str: return "Sunny" g = Guardrails( - tool=lambda name, args: GuardrailResult( - allowed=True, - rewrite={"location": "REWRITTEN_CITY"}, - ) + tool=lambda name, args: GuardrailResult.rewrite({"location": "REWRITTEN_CITY"}) ) turn( diff --git a/runtime/python/prompty/tests/test_spec_vectors.py b/runtime/python/prompty/tests/test_spec_vectors.py index a941acd0..b68b5ec1 100644 --- a/runtime/python/prompty/tests/test_spec_vectors.py +++ b/runtime/python/prompty/tests/test_spec_vectors.py @@ -1545,11 +1545,11 @@ def wrapper(**kwargs): reason = ig.get("reason", "Denied") def input_hook(msgs: Any, _r: str = reason) -> GuardrailResult: - return GuardrailResult(allowed=False, reason=_r) + return GuardrailResult.deny(_r) else: def input_hook(msgs: Any) -> GuardrailResult: - return GuardrailResult(allowed=True) + return GuardrailResult.allow() if "output" in gr_spec: og = gr_spec["output"] @@ -1557,11 +1557,11 @@ def input_hook(msgs: Any) -> GuardrailResult: reason = og.get("reason", "Denied") def output_hook(msg: Any, _r: str = reason) -> GuardrailResult: - return GuardrailResult(allowed=False, reason=_r) + return GuardrailResult.deny(_r) else: def output_hook(msg: Any) -> GuardrailResult: - return GuardrailResult(allowed=True) + return GuardrailResult.allow() if "tool" in gr_spec: tg = gr_spec["tool"] @@ -1569,7 +1569,7 @@ def output_hook(msg: Any) -> GuardrailResult: deny_reason = tg.get("reason", "Tool denied") def tool_hook(n: str, a: Any, _dl: list = deny_list, _dr: str = deny_reason) -> GuardrailResult: - return GuardrailResult(allowed=False, reason=_dr) if n in _dl else GuardrailResult(allowed=True) + return GuardrailResult.deny(_dr) if n in _dl else GuardrailResult.allow() ext_kwargs["guardrails"] = Guardrails(input=input_hook, output=output_hook, tool=tool_hook) diff --git a/runtime/rust/prompty/src/guardrails.rs b/runtime/rust/prompty/src/guardrails.rs index 5957e88c..6058e2f5 100644 --- a/runtime/rust/prompty/src/guardrails.rs +++ b/runtime/rust/prompty/src/guardrails.rs @@ -4,52 +4,11 @@ //! that run before/after LLM calls and tool dispatch to enforce policies. use crate::model::Prompty; +// GuardrailResult is now generated by the TypeSpec emitter (model/guardrail_result.rs). +// Re-export it so `crate::guardrails::GuardrailResult` still works. +pub use crate::model::GuardrailResult; use crate::types::Message; -// --------------------------------------------------------------------------- -// GuardrailResult -// --------------------------------------------------------------------------- - -/// The result of a guardrail check. -#[derive(Debug, Clone)] -pub struct GuardrailResult { - /// Whether the operation is allowed. - pub allowed: bool, - /// Reason for denial (if `allowed == false`). - pub reason: Option, - /// Optional rewrite of the input/output. - pub rewrite: Option, -} - -impl GuardrailResult { - /// Create an "allowed" result. - pub fn allow() -> Self { - Self { - allowed: true, - reason: None, - rewrite: None, - } - } - - /// Create a "denied" result with a reason. - pub fn deny(reason: impl Into) -> Self { - Self { - allowed: false, - reason: Some(reason.into()), - rewrite: None, - } - } - - /// Create an "allowed with rewrite" result. - pub fn rewrite(rewrite: serde_json::Value) -> Self { - Self { - allowed: true, - reason: None, - rewrite: Some(rewrite), - } - } -} - // --------------------------------------------------------------------------- // GuardrailError // --------------------------------------------------------------------------- diff --git a/runtime/typescript/packages/core/src/core/guardrails.ts b/runtime/typescript/packages/core/src/core/guardrails.ts index 09c78a40..588ea9ea 100644 --- a/runtime/typescript/packages/core/src/core/guardrails.ts +++ b/runtime/typescript/packages/core/src/core/guardrails.ts @@ -4,13 +4,10 @@ */ import { Message } from "./types.js"; +import { GuardrailResult } from "../model/guardrail-result.js"; -/** Result of a guardrail check. */ -export interface GuardrailResult { - allowed: boolean; - reason?: string; - rewrite?: any; -} +// Re-export so existing imports from this module still work. +export { GuardrailResult }; /** Error thrown when a guardrail denies the operation. */ export class GuardrailError extends Error { @@ -52,17 +49,17 @@ export class Guardrails { } checkInput(messages: Message[]): GuardrailResult { - if (!this.inputHook) return { allowed: true }; + if (!this.inputHook) return GuardrailResult.allow(); return this.inputHook(messages); } checkOutput(message: Message): GuardrailResult { - if (!this.outputHook) return { allowed: true }; + if (!this.outputHook) return GuardrailResult.allow(); return this.outputHook(message); } checkTool(name: string, args: Record): GuardrailResult { - if (!this.toolHook) return { allowed: true }; + if (!this.toolHook) return GuardrailResult.allow(); return this.toolHook(name, args); } } diff --git a/runtime/typescript/packages/core/src/core/index.ts b/runtime/typescript/packages/core/src/core/index.ts index fbda71f6..b67e6126 100644 --- a/runtime/typescript/packages/core/src/core/index.ts +++ b/runtime/typescript/packages/core/src/core/index.ts @@ -34,7 +34,7 @@ export { type AgentEventType, type EventCallback, emitEvent } from "./agent-even export { CancelledError, checkCancellation } from "./cancellation.js"; export { estimateChars, summarizeDropped, trimToContextWindow, formatDroppedMessages } from "./context.js"; export { - type GuardrailResult, + GuardrailResult, GuardrailError, type InputGuardrail, type OutputGuardrail, diff --git a/runtime/typescript/packages/core/src/core/pipeline.ts b/runtime/typescript/packages/core/src/core/pipeline.ts index a7505908..22d7c6ee 100644 --- a/runtime/typescript/packages/core/src/core/pipeline.ts +++ b/runtime/typescript/packages/core/src/core/pipeline.ts @@ -699,7 +699,7 @@ export async function turn( emitEvent(onEvent, "error", { message: `Input guardrail denied: ${result.reason}` }); throw new GuardrailError(result.reason ?? "Input guardrail denied"); } - if (result.rewrite) messages = result.rewrite; + if (result.rewrite) messages = result.rewrite as Message[]; } // §13.2 — Check cancellation before LLM call @@ -792,7 +792,7 @@ export async function turn( emitEvent(onEvent, "error", { message: `Input guardrail denied: ${result.reason}` }); throw new GuardrailError(result.reason ?? "Input guardrail denied"); } - if (result.rewrite) messages = result.rewrite; + if (result.rewrite) messages = result.rewrite as Message[]; } // §13.2 — Check cancellation before LLM call diff --git a/runtime/typescript/packages/core/src/index.ts b/runtime/typescript/packages/core/src/index.ts index 4e453b9f..d891ac8d 100644 --- a/runtime/typescript/packages/core/src/index.ts +++ b/runtime/typescript/packages/core/src/index.ts @@ -81,7 +81,7 @@ export { summarizeDropped, trimToContextWindow, formatDroppedMessages, - type GuardrailResult, + GuardrailResult, GuardrailError, type InputGuardrail, type OutputGuardrail, diff --git a/runtime/typescript/packages/core/tests/agent-extensions.test.ts b/runtime/typescript/packages/core/tests/agent-extensions.test.ts index 6d8c6e58..b8990746 100644 --- a/runtime/typescript/packages/core/tests/agent-extensions.test.ts +++ b/runtime/typescript/packages/core/tests/agent-extensions.test.ts @@ -2,7 +2,7 @@ import { describe, it, expect, beforeEach, vi } from "vitest"; import { emitEvent, type EventCallback, type AgentEventType } from "../src/core/agent-events.js"; import { checkCancellation, CancelledError } from "../src/core/cancellation.js"; import { estimateChars, summarizeDropped, trimToContextWindow } from "../src/core/context.js"; -import { Guardrails, GuardrailError } from "../src/core/guardrails.js"; +import { Guardrails, GuardrailError, GuardrailResult } from "../src/core/guardrails.js"; import { Steering } from "../src/core/steering.js"; import { Message, text } from "../src/core/types.js"; import { turn } from "../src/core/pipeline.js"; @@ -188,52 +188,50 @@ describe("trimToContextWindow", () => { describe("Guardrails", () => { it("with no hooks always allows", () => { const g = new Guardrails(); - expect(g.checkInput([new Message("user", [text("hi")])])).toEqual({ allowed: true }); - expect(g.checkOutput(new Message("assistant", [text("ok")]))).toEqual({ allowed: true }); - expect(g.checkTool("fn", {})).toEqual({ allowed: true }); + expect(g.checkInput([new Message("user", [text("hi")])])).toEqual(GuardrailResult.allow()); + expect(g.checkOutput(new Message("assistant", [text("ok")]))).toEqual(GuardrailResult.allow()); + expect(g.checkTool("fn", {})).toEqual(GuardrailResult.allow()); }); it("checkInput calls input hook and returns result", () => { const g = new Guardrails({ input: (msgs) => { if (msgs.some((m) => m.text.includes("bad"))) { - return { allowed: false, reason: "bad input" }; + return GuardrailResult.deny("bad input"); } - return { allowed: true }; + return GuardrailResult.allow(); }, }); - expect(g.checkInput([new Message("user", [text("hello")])])).toEqual({ allowed: true }); - expect(g.checkInput([new Message("user", [text("bad stuff")])])).toEqual({ - allowed: false, - reason: "bad input", - }); + expect(g.checkInput([new Message("user", [text("hello")])])).toEqual(GuardrailResult.allow()); + expect(g.checkInput([new Message("user", [text("bad stuff")])])).toEqual( + GuardrailResult.deny("bad input"), + ); }); it("checkOutput calls output hook and returns result", () => { const g = new Guardrails({ output: (msg) => { if (msg.text.includes("secret")) { - return { allowed: false, reason: "leaked secret" }; + return GuardrailResult.deny("leaked secret"); } - return { allowed: true }; + return GuardrailResult.allow(); }, }); - expect(g.checkOutput(new Message("assistant", [text("fine")]))).toEqual({ allowed: true }); - expect(g.checkOutput(new Message("assistant", [text("the secret is...")]))).toEqual({ - allowed: false, - reason: "leaked secret", - }); + expect(g.checkOutput(new Message("assistant", [text("fine")]))).toEqual(GuardrailResult.allow()); + expect(g.checkOutput(new Message("assistant", [text("the secret is...")]))).toEqual( + GuardrailResult.deny("leaked secret"), + ); }); it("checkTool calls tool hook and returns result", () => { const g = new Guardrails({ tool: (name, _args) => { - if (name === "dangerous") return { allowed: false, reason: "blocked tool" }; - return { allowed: true }; + if (name === "dangerous") return GuardrailResult.deny("blocked tool"); + return GuardrailResult.allow(); }, }); - expect(g.checkTool("safe_fn", {})).toEqual({ allowed: true }); - expect(g.checkTool("dangerous", {})).toEqual({ allowed: false, reason: "blocked tool" }); + expect(g.checkTool("safe_fn", {})).toEqual(GuardrailResult.allow()); + expect(g.checkTool("dangerous", {})).toEqual(GuardrailResult.deny("blocked tool")); }); }); @@ -431,7 +429,7 @@ describe("turn integration", () => { // ---- §13.4 Input guardrail: first-turn denial ---- it("input guardrail denial prevents executor call", async () => { const guardrails = new Guardrails({ - input: () => ({ allowed: false, reason: "policy violation" }), + input: () => GuardrailResult.deny("policy violation"), }); const agent = makeTestAgent(); @@ -500,7 +498,7 @@ describe("turn integration", () => { it("input guardrail rewrite replaces messages sent to executor", async () => { const replacement = [new Message("user", [text("Rewritten input")])]; const guardrails = new Guardrails({ - input: () => ({ allowed: true, rewrite: replacement }), + input: () => GuardrailResult.rewrite(replacement), }); const agent = makeTestAgent(); @@ -515,9 +513,9 @@ describe("turn integration", () => { const guardrails = new Guardrails({ output: (msg) => { if (msg.text.includes("42")) { - return { allowed: false, reason: "forbidden number" }; + return GuardrailResult.deny("forbidden number"); } - return { allowed: true }; + return GuardrailResult.allow(); }, }); @@ -530,7 +528,7 @@ describe("turn integration", () => { // ---- §13.4 Output guardrail: rewrite on final response ---- it("output guardrail rewrites final response", async () => { const guardrails = new Guardrails({ - output: () => ({ allowed: true, rewrite: "Redacted answer" }), + output: () => GuardrailResult.rewrite("Redacted answer"), }); const agent = makeTestAgent(); @@ -560,9 +558,9 @@ describe("turn integration", () => { const guardrails = new Guardrails({ tool: (name, args) => { if (name === "get_weather") { - return { allowed: true, rewrite: { city: "Portland" } }; + return GuardrailResult.rewrite({ city: "Portland" }); } - return { allowed: true }; + return GuardrailResult.allow(); }, }); diff --git a/runtime/typescript/packages/core/tests/spec-vectors.test.ts b/runtime/typescript/packages/core/tests/spec-vectors.test.ts index 015938e0..64619739 100644 --- a/runtime/typescript/packages/core/tests/spec-vectors.test.ts +++ b/runtime/typescript/packages/core/tests/spec-vectors.test.ts @@ -47,6 +47,7 @@ import { clearCache, CancelledError, Guardrails, + GuardrailResult, Steering, type Executor, type Processor, @@ -1250,18 +1251,18 @@ describe("Spec Vectors: Agent Extensions (§13)", () => { if (grSpec.input) { if (grSpec.input.action === "deny") { const reason = grSpec.input.reason ?? "Denied"; - grOpts.input = (_msgs: Message[]) => ({ allowed: false, reason }); + grOpts.input = (_msgs: Message[]) => GuardrailResult.deny(reason); } else { - grOpts.input = (_msgs: Message[]) => ({ allowed: true }); + grOpts.input = (_msgs: Message[]) => GuardrailResult.allow(); } } if (grSpec.output) { if (grSpec.output.action === "deny") { const reason = grSpec.output.reason ?? "Denied"; - grOpts.output = (_msg: Message) => ({ allowed: false, reason }); + grOpts.output = (_msg: Message) => GuardrailResult.deny(reason); } else { - grOpts.output = (_msg: Message) => ({ allowed: true }); + grOpts.output = (_msg: Message) => GuardrailResult.allow(); } } @@ -1269,7 +1270,7 @@ describe("Spec Vectors: Agent Extensions (§13)", () => { const denyList: string[] = grSpec.tool.deny_tools ?? []; const denyReason = grSpec.tool.reason ?? "Tool denied"; grOpts.tool = (name: string, _args: Record) => - denyList.includes(name) ? { allowed: false, reason: denyReason } : { allowed: true }; + denyList.includes(name) ? GuardrailResult.deny(denyReason) : GuardrailResult.allow(); } opts.guardrails = new Guardrails(grOpts as any); From bbf85508a83c729c8745bb25494d07b68346fa7a Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 14:09:45 -0700 Subject: [PATCH 05/85] fix: Python emitter detects factory/field name collisions and prefixes with create_ In Python, a @classmethod with the same name as a dataclass field shadows the field's default value. The emitter now pre-computes safe factory method names: if a factory name (in snake_case) matches any field name, it gets prefixed with 'create_' (e.g., rewrite -> create_rewrite). This mirrors the existing C# collision detection that prefixes with 'Create'. Rust and TypeScript don't need this fix (methods/statics don't collide with fields in those languages). Changes: - schema/emitter/src/ast.ts: Add factoryNameMap to PythonClassContext - schema/emitter/src/python.ts: Compute safe names in buildClassContext() - schema/emitter/src/templates/python/file.py.njk: Use factoryNameMap - runtime/python: Update 3 callsites from .rewrite() to .create_rewrite() - runtime/python: Remove __post_init__ workaround (no longer needed) Verified: Rust 538, TypeScript 371, Python 414 tests pass. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../python/prompty/prompty/model/_GuardrailResult.py | 8 +------- .../prompty/tests/model/test_foundry_connection.py | 1 + runtime/python/prompty/tests/test_agent_extensions.py | 6 +++--- schema/emitter/src/ast.ts | 2 ++ schema/emitter/src/python.ts | 11 +++++++++++ schema/emitter/src/templates/python/file.py.njk | 2 +- 6 files changed, 19 insertions(+), 11 deletions(-) diff --git a/runtime/python/prompty/prompty/model/_GuardrailResult.py b/runtime/python/prompty/prompty/model/_GuardrailResult.py index 19eab5a0..c60d6488 100644 --- a/runtime/python/prompty/prompty/model/_GuardrailResult.py +++ b/runtime/python/prompty/prompty/model/_GuardrailResult.py @@ -32,12 +32,6 @@ class GuardrailResult: reason: str | None = None rewrite: Any | None = None - def __post_init__(self) -> None: - # The @classmethod 'rewrite' shadows the dataclass field default, - # causing the default value to be the bound method instead of None. - if callable(self.rewrite): - self.rewrite = None - @staticmethod def load(data: Any, context: LoadContext | None = None) -> "GuardrailResult": """Load a GuardrailResult instance. @@ -123,7 +117,7 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: @classmethod - def rewrite(cls, rewrite: Any) -> "GuardrailResult": + def create_rewrite(cls, rewrite: Any) -> "GuardrailResult": """Create a GuardrailResult with preset field values.""" instance = cls() instance.allowed = True diff --git a/runtime/python/prompty/tests/model/test_foundry_connection.py b/runtime/python/prompty/tests/model/test_foundry_connection.py index 87fa6475..23cb1a82 100644 --- a/runtime/python/prompty/tests/model/test_foundry_connection.py +++ b/runtime/python/prompty/tests/model/test_foundry_connection.py @@ -1,5 +1,6 @@ import json + import yaml from prompty.model import FoundryConnection diff --git a/runtime/python/prompty/tests/test_agent_extensions.py b/runtime/python/prompty/tests/test_agent_extensions.py index 0d88fbe9..299a2a00 100644 --- a/runtime/python/prompty/tests/test_agent_extensions.py +++ b/runtime/python/prompty/tests/test_agent_extensions.py @@ -562,7 +562,7 @@ def capturing_executor(a, msgs): mock_exec.side_effect = capturing_executor - g = Guardrails(input=lambda msgs: GuardrailResult.rewrite(rewritten)) + g = Guardrails(input=lambda msgs: GuardrailResult.create_rewrite(rewritten)) agent = _make_agent() turn(agent, {}, tools={}, guardrails=g) @@ -595,7 +595,7 @@ def test_output_guardrail_rewrites_final_response(self, mock_process, mock_prepa to be returned instead of the original.""" mock_exec.return_value = _mock_final_response("original response") agent = _make_agent() - g = Guardrails(output=lambda msg: GuardrailResult.rewrite("sanitized response")) + g = Guardrails(output=lambda msg: GuardrailResult.create_rewrite("sanitized response")) result = turn(agent, {}, tools={}, guardrails=g) assert result == "sanitized response" @@ -618,7 +618,7 @@ def tracking_tool(**kwargs: Any) -> str: return "Sunny" g = Guardrails( - tool=lambda name, args: GuardrailResult.rewrite({"location": "REWRITTEN_CITY"}) + tool=lambda name, args: GuardrailResult.create_rewrite({"location": "REWRITTEN_CITY"}) ) turn( diff --git a/schema/emitter/src/ast.ts b/schema/emitter/src/ast.ts index b1da7638..ed355293 100644 --- a/schema/emitter/src/ast.ts +++ b/schema/emitter/src/ast.ts @@ -619,6 +619,8 @@ export interface PythonClassContext { collectionTypes: Array<{ prop: PropertyNode; type: string[] }>; /** The property name that can be used as a shorthand scalar representation */ shorthandProperty: string | null; + /** Maps factory.name → safe Python method name (prefixed with create_ on field collision) */ + factoryNameMap: Record; } /** diff --git a/schema/emitter/src/python.ts b/schema/emitter/src/python.ts index 88213013..a68d291d 100644 --- a/schema/emitter/src/python.ts +++ b/schema/emitter/src/python.ts @@ -176,6 +176,16 @@ function findPythonProjectRoot(startDir: string): string | undefined { * Build context for rendering a single Python class. */ function buildClassContext(node: TypeNode): PythonClassContext { + // Pre-compute safe factory method names to avoid field/classmethod collisions. + // In Python, a @classmethod with the same name as a dataclass field shadows the + // field's default value. If collision detected, prefix with "create_". + const fieldNames = new Set(node.properties.map(p => toSnakeCase(p.name))); + const factoryNameMap: Record = {}; + for (const factory of node.factories) { + const snakeName = toSnakeCase(factory.name); + factoryNameMap[factory.name] = fieldNames.has(snakeName) ? `create_${snakeName}` : snakeName; + } + return { node, typeMapper: pythonTypeMapper, @@ -184,6 +194,7 @@ function buildClassContext(node: TypeNode): PythonClassContext { imports: getUniqueImportTypes(node), collectionTypes: getCollectionTypes(node), shorthandProperty: getShorthandProperty(node), + factoryNameMap, }; } diff --git a/schema/emitter/src/templates/python/file.py.njk b/schema/emitter/src/templates/python/file.py.njk index d79e0042..4f9d5132 100644 --- a/schema/emitter/src/templates/python/file.py.njk +++ b/schema/emitter/src/templates/python/file.py.njk @@ -225,7 +225,7 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % {% if node.factories.length > 0 %} {% for factory in node.factories %} @classmethod - def {{ factory.name | snakeCase }}(cls{% for pName, pType in factory.params %}, {{ pName | snakeCase }}: {{ py.factoryParamType(pType) }}{% endfor %}) -> "{{ node.typeName.name }}": + def {{ classCtx.factoryNameMap[factory.name] }}(cls{% for pName, pType in factory.params %}, {{ pName | snakeCase }}: {{ py.factoryParamType(pType) }}{% endfor %}) -> "{{ node.typeName.name }}": """Create a {{ node.typeName.name }} with preset field values.""" instance = cls() {%- for prop in node.properties %} From e3c8d816b179e7b0989b1f261c3c359068b65745 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 14:34:20 -0700 Subject: [PATCH 06/85] Replace hand-written ToolCall with generated model type across Rust, TypeScript, Python Remove duplicate ToolCall definitions from types.rs (Rust), types.ts (TypeScript), and processor.py (Python). Each runtime now re-exports the generated ToolCall from the model layer. C# was already using the generated type. - Rust: pub use crate::model::ToolCall in types.rs (538 tests pass) - TypeScript: re-export from model/tool-call.ts in core/types.ts (743 tests pass) - Python: import from model in processor.py, re-export for backward compat (909 tests pass) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- runtime/python/prompty/prompty/__init__.py | 3 ++- .../prompty/prompty/providers/openai/processor.py | 12 +----------- runtime/rust/prompty/src/model/tool_call.rs | 2 +- runtime/rust/prompty/src/types.rs | 11 ++--------- runtime/typescript/packages/core/src/core/types.ts | 9 ++------- runtime/typescript/packages/core/src/index.ts | 2 +- 6 files changed, 9 insertions(+), 30 deletions(-) diff --git a/runtime/python/prompty/prompty/__init__.py b/runtime/python/prompty/prompty/__init__.py index 5334da2b..27319ce5 100644 --- a/runtime/python/prompty/prompty/__init__.py +++ b/runtime/python/prompty/prompty/__init__.py @@ -203,6 +203,7 @@ SaveContext, Template, Tool, + ToolCall, ) # Concrete invokers @@ -214,7 +215,7 @@ from .providers.foundry.executor import FoundryExecutor from .providers.foundry.processor import FoundryProcessor from .providers.openai.executor import OpenAIExecutor -from .providers.openai.processor import OpenAIProcessor, ToolCall +from .providers.openai.processor import OpenAIProcessor from .renderers import Jinja2Renderer, MustacheRenderer # Tracing diff --git a/runtime/python/prompty/prompty/providers/openai/processor.py b/runtime/python/prompty/prompty/providers/openai/processor.py index 9e72cd80..fbfc2aa2 100644 --- a/runtime/python/prompty/prompty/providers/openai/processor.py +++ b/runtime/python/prompty/prompty/providers/openai/processor.py @@ -10,25 +10,15 @@ import json from collections.abc import AsyncIterator, Iterator -from dataclasses import dataclass from typing import Any from ...core.structured import StructuredResult -from ...model import Prompty +from ...model import Prompty, ToolCall from ...tracing.tracer import trace __all__ = ["OpenAIProcessor", "ToolCall"] -@dataclass -class ToolCall: - """Represents a tool call extracted from an LLM response.""" - - id: str - name: str - arguments: str - - class OpenAIProcessor: """Processor for OpenAI responses. diff --git a/runtime/rust/prompty/src/model/tool_call.rs b/runtime/rust/prompty/src/model/tool_call.rs index f5cdb849..690c6419 100644 --- a/runtime/rust/prompty/src/model/tool_call.rs +++ b/runtime/rust/prompty/src/model/tool_call.rs @@ -7,7 +7,7 @@ use super::context::{LoadContext, SaveContext}; /// A tool call requested by the LLM. Contains the function name and serialized arguments that should be dispatched to the appropriate tool handler. -#[derive(Debug, Clone, Default)] +#[derive(Debug, Clone, Default, serde::Serialize, serde::Deserialize)] pub struct ToolCall { /// The unique identifier of the tool call pub id: String, diff --git a/runtime/rust/prompty/src/types.rs b/runtime/rust/prompty/src/types.rs index 8e5eb822..11ba8969 100644 --- a/runtime/rust/prompty/src/types.rs +++ b/runtime/rust/prompty/src/types.rs @@ -97,17 +97,10 @@ pub struct AudioPart { } // --------------------------------------------------------------------------- -// ToolCall +// ToolCall — re-exported from generated model // --------------------------------------------------------------------------- -/// A tool call returned by the LLM (spec §6.5.4). -#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)] -pub struct ToolCall { - pub id: String, - pub name: String, - /// JSON-encoded arguments string. - pub arguments: String, -} +pub use crate::model::ToolCall; // --------------------------------------------------------------------------- // ThreadMarker diff --git a/runtime/typescript/packages/core/src/core/types.ts b/runtime/typescript/packages/core/src/core/types.ts index e49fca01..e85f0eaa 100644 --- a/runtime/typescript/packages/core/src/core/types.ts +++ b/runtime/typescript/packages/core/src/core/types.ts @@ -139,15 +139,10 @@ export class ThreadMarker { } // --------------------------------------------------------------------------- -// ToolCall +// ToolCall (re-exported from generated model) // --------------------------------------------------------------------------- -/** Represents a tool call extracted from an LLM response. */ -export interface ToolCall { - id: string; - name: string; - arguments: string; -} +export { ToolCall } from "../model/tool-call.js"; // --------------------------------------------------------------------------- // Rich Input Kinds diff --git a/runtime/typescript/packages/core/src/index.ts b/runtime/typescript/packages/core/src/index.ts index d891ac8d..215cb983 100644 --- a/runtime/typescript/packages/core/src/index.ts +++ b/runtime/typescript/packages/core/src/index.ts @@ -21,7 +21,7 @@ export { type FilePart, type AudioPart, type Role, - type ToolCall, + ToolCall, Message, ThreadMarker, PromptyStream, From d19aa0af28864411b0d32e30f50ba26aee029c80 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 14:57:03 -0700 Subject: [PATCH 07/85] fix: use snake_case attribute names in foundry executor Replace camelCase attribute accesses with snake_case equivalents to match the updated agentschema model types: - agent.model.apiType -> agent.model.api_type - conn.apiKey -> conn.api_key Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../prompty/providers/foundry/executor.py | 12 ++-- .../prompty/providers/openai/executor.py | 58 +++++++++---------- 2 files changed, 35 insertions(+), 35 deletions(-) diff --git a/runtime/python/prompty/prompty/providers/foundry/executor.py b/runtime/python/prompty/prompty/providers/foundry/executor.py index 24886754..e0485b8e 100644 --- a/runtime/python/prompty/prompty/providers/foundry/executor.py +++ b/runtime/python/prompty/prompty/providers/foundry/executor.py @@ -50,7 +50,7 @@ class FoundryExecutor(_BaseExecutor): @trace def execute(self, agent: Prompty, data: Any) -> Any: client = self._resolve_client(agent) - api_type = agent.model.apiType or "chat" + api_type = agent.model.api_type or "chat" if api_type == "chat": return self._execute_chat(client, agent, data) @@ -66,7 +66,7 @@ def execute(self, agent: Prompty, data: Any) -> Any: @trace async def execute_async(self, agent: Prompty, data: Any) -> Any: client = self._resolve_client_async(agent) - api_type = agent.model.apiType or "chat" + api_type = agent.model.api_type or "chat" if api_type == "chat": return await self._execute_chat_async(client, agent, data) @@ -117,7 +117,7 @@ def _build_client_from_key(self, conn: ApiKeyConnection) -> Any: """Build a sync AzureOpenAI client from an ApiKeyConnection.""" from openai import AzureOpenAI - if not conn.apiKey: + if not conn.api_key: raise ValueError( "Foundry connection has kind 'key' but no apiKey. " "Either provide an apiKey (e.g., apiKey: ${env:AZURE_OPENAI_API_KEY}), " @@ -128,7 +128,7 @@ def _build_client_from_key(self, conn: ApiKeyConnection) -> Any: "Then call: prompty.register_connection('my-foundry', client=AzureOpenAI(...))" ) - kwargs: dict[str, Any] = {"api_key": conn.apiKey, "api_version": "2024-12-01-preview"} + kwargs: dict[str, Any] = {"api_key": conn.api_key, "api_version": "2024-12-01-preview"} if conn.endpoint: kwargs["azure_endpoint"] = conn.endpoint @@ -148,7 +148,7 @@ def _build_async_client_from_key(self, conn: ApiKeyConnection) -> Any: """Build an async AsyncAzureOpenAI client from an ApiKeyConnection.""" from openai import AsyncAzureOpenAI - if not conn.apiKey: + if not conn.api_key: raise ValueError( "Foundry connection has kind 'key' but no apiKey. " "Either provide an apiKey (e.g., apiKey: ${env:AZURE_OPENAI_API_KEY}), " @@ -159,7 +159,7 @@ def _build_async_client_from_key(self, conn: ApiKeyConnection) -> Any: "Then call: prompty.register_connection('my-foundry', client=AsyncAzureOpenAI(...))" ) - kwargs: dict[str, Any] = {"api_key": conn.apiKey, "api_version": "2024-12-01-preview"} + kwargs: dict[str, Any] = {"api_key": conn.api_key, "api_version": "2024-12-01-preview"} if conn.endpoint: kwargs["azure_endpoint"] = conn.endpoint diff --git a/runtime/python/prompty/prompty/providers/openai/executor.py b/runtime/python/prompty/prompty/providers/openai/executor.py index bff668c7..b6feed31 100644 --- a/runtime/python/prompty/prompty/providers/openai/executor.py +++ b/runtime/python/prompty/prompty/providers/openai/executor.py @@ -1,7 +1,7 @@ """OpenAI executor — calls OpenAI APIs (chat, embedding, image). Maps abstract ``Message`` objects to the OpenAI wire format -and sends them to the API. Dispatches on ``agent.model.apiType``. +and sends them to the API. Dispatches on ``agent.model.api_type``. Registered as ``openai`` in ``prompty.executors``. @@ -204,8 +204,8 @@ def _property_to_json_schema(prop) -> dict[str, Any]: if prop.description: schema["description"] = prop.description - if prop.enumValues: - schema["enum"] = prop.enumValues + if prop.enum_values: + schema["enum"] = prop.enum_values # Array items — default to string if unspecified if prop.kind == "array": @@ -278,22 +278,22 @@ def _build_options(agent: Prompty) -> dict[str, Any]: if mo.temperature is not None: opts["temperature"] = mo.temperature - if mo.maxOutputTokens is not None: - opts["max_completion_tokens"] = mo.maxOutputTokens - if mo.topP is not None: - opts["top_p"] = mo.topP - if mo.frequencyPenalty is not None: - opts["frequency_penalty"] = mo.frequencyPenalty - if mo.presencePenalty is not None: - opts["presence_penalty"] = mo.presencePenalty + if mo.max_output_tokens is not None: + opts["max_completion_tokens"] = mo.max_output_tokens + if mo.top_p is not None: + opts["top_p"] = mo.top_p + if mo.frequency_penalty is not None: + opts["frequency_penalty"] = mo.frequency_penalty + if mo.presence_penalty is not None: + opts["presence_penalty"] = mo.presence_penalty if mo.seed is not None: opts["seed"] = mo.seed - if mo.stopSequences: - opts["stop"] = mo.stopSequences + if mo.stop_sequences: + opts["stop"] = mo.stop_sequences # Pass through additional properties - if mo.additionalProperties: - for k, v in mo.additionalProperties.items(): + if mo.additional_properties: + for k, v in mo.additional_properties.items(): if k not in opts: opts[k] = v @@ -315,14 +315,14 @@ def _build_responses_options(agent: Prompty) -> dict[str, Any]: if mo.temperature is not None: opts["temperature"] = mo.temperature - if mo.maxOutputTokens is not None: - opts["max_output_tokens"] = mo.maxOutputTokens - if mo.topP is not None: - opts["top_p"] = mo.topP + if mo.max_output_tokens is not None: + opts["max_output_tokens"] = mo.max_output_tokens + if mo.top_p is not None: + opts["top_p"] = mo.top_p # Pass through additional properties - if mo.additionalProperties: - for k, v in mo.additionalProperties.items(): + if mo.additional_properties: + for k, v in mo.additional_properties.items(): if k not in opts: opts[k] = v @@ -552,8 +552,8 @@ def _build_embedding_args(self, agent: Prompty, data: Any) -> dict[str, Any]: } # Only pass through additional properties — standard chat options # (temperature, top_p, etc.) are not valid for the embeddings API. - if agent.model.options and agent.model.options.additionalProperties: - for k, v in agent.model.options.additionalProperties.items(): + if agent.model.options and agent.model.options.additional_properties: + for k, v in agent.model.options.additional_properties.items(): args[k] = v return args @@ -566,8 +566,8 @@ def _build_image_args(self, agent: Prompty, data: Any) -> dict[str, Any]: } # Only pass through additional properties — standard chat options # (temperature, top_p, etc.) are not valid for the images API. - if agent.model.options and agent.model.options.additionalProperties: - for k, v in agent.model.options.additionalProperties.items(): + if agent.model.options and agent.model.options.additional_properties: + for k, v in agent.model.options.additional_properties.items(): args[k] = v return args @@ -737,7 +737,7 @@ class OpenAIExecutor(_BaseExecutor): @trace def execute(self, agent: Prompty, data: Any) -> Any: client = self._resolve_client(agent) - api_type = agent.model.apiType or "chat" + api_type = agent.model.api_type or "chat" if api_type == "chat": return self._execute_chat(client, agent, data) @@ -753,7 +753,7 @@ def execute(self, agent: Prompty, data: Any) -> Any: @trace async def execute_async(self, agent: Prompty, data: Any) -> Any: client = self._resolve_client_async(agent) - api_type = agent.model.apiType or "chat" + api_type = agent.model.api_type or "chat" if api_type == "chat": return await self._execute_chat_async(client, agent, data) @@ -815,8 +815,8 @@ def _client_kwargs(self, agent: Prompty) -> dict[str, Any]: kwargs: dict[str, Any] = {} conn = agent.model.connection if conn and isinstance(conn, ApiKeyConnection): - if conn.apiKey: - kwargs["api_key"] = conn.apiKey + if conn.api_key: + kwargs["api_key"] = conn.api_key if conn.endpoint: kwargs["base_url"] = conn.endpoint elif conn: From fa9142d66e37a9c3b5a0b942eab96afb19649674 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 14:57:53 -0700 Subject: [PATCH 08/85] Fix camelCase attribute accesses on generated model types in test files Update test files to use snake_case field names matching the regenerated agentschema model types: - apiType -> api_type - apiKey -> api_key - maxOutputTokens -> max_output_tokens - serverName -> server_name - additionalProperties -> additional_properties Dict key accesses (YAML/JSON keys) remain camelCase as intended. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../tests/integration/test_streaming.py | 18 +++++++++--------- .../prompty/tests/integration/test_tracing.py | 6 +++--- runtime/python/prompty/tests/test_anthropic.py | 2 +- runtime/python/prompty/tests/test_loader.py | 12 ++++++------ .../python/prompty/tests/test_spec_vectors.py | 16 ++++++++-------- .../python/prompty/tests/test_structured.py | 2 +- 6 files changed, 28 insertions(+), 28 deletions(-) diff --git a/runtime/python/prompty/tests/integration/test_streaming.py b/runtime/python/prompty/tests/integration/test_streaming.py index 3b0065df..2d44b04b 100644 --- a/runtime/python/prompty/tests/integration/test_streaming.py +++ b/runtime/python/prompty/tests/integration/test_streaming.py @@ -42,9 +42,9 @@ def test_streaming_chat(self): # Force streaming by setting the stream option assert agent.model is not None assert agent.model.options is not None - if agent.model.options.additionalProperties is None: - agent.model.options.additionalProperties = {} - agent.model.options.additionalProperties["stream"] = True + if agent.model.options.additional_properties is None: + agent.model.options.additional_properties = {} + agent.model.options.additional_properties["stream"] = True messages = _chat_messages() response = self.executor.execute(agent, messages) @@ -65,9 +65,9 @@ async def test_async_streaming_chat(self): ) assert agent.model is not None assert agent.model.options is not None - if agent.model.options.additionalProperties is None: - agent.model.options.additionalProperties = {} - agent.model.options.additionalProperties["stream"] = True + if agent.model.options.additional_properties is None: + agent.model.options.additional_properties = {} + agent.model.options.additional_properties["stream"] = True messages = _chat_messages() response = await self.executor.execute_async(agent, messages) @@ -96,9 +96,9 @@ def test_streaming_chat(self): ) assert agent.model is not None assert agent.model.options is not None - if agent.model.options.additionalProperties is None: - agent.model.options.additionalProperties = {} - agent.model.options.additionalProperties["stream"] = True + if agent.model.options.additional_properties is None: + agent.model.options.additional_properties = {} + agent.model.options.additional_properties["stream"] = True messages = _chat_messages() response = self.executor.execute(agent, messages) diff --git a/runtime/python/prompty/tests/integration/test_tracing.py b/runtime/python/prompty/tests/integration/test_tracing.py index 1c6c2f04..ae102fe6 100644 --- a/runtime/python/prompty/tests/integration/test_tracing.py +++ b/runtime/python/prompty/tests/integration/test_tracing.py @@ -304,9 +304,9 @@ def test_streaming_trace(self, tmp_path): agent = make_foundry_agent(options={"temperature": 0, "maxOutputTokens": 50}) assert agent.model is not None assert agent.model.options is not None - if agent.model.options.additionalProperties is None: - agent.model.options.additionalProperties = {} - agent.model.options.additionalProperties["stream"] = True + if agent.model.options.additional_properties is None: + agent.model.options.additional_properties = {} + agent.model.options.additional_properties["stream"] = True messages = _chat_messages() response = self.executor.execute(agent, messages) diff --git a/runtime/python/prompty/tests/test_anthropic.py b/runtime/python/prompty/tests/test_anthropic.py index 1023bf9c..136ab6f4 100644 --- a/runtime/python/prompty/tests/test_anthropic.py +++ b/runtime/python/prompty/tests/test_anthropic.py @@ -570,7 +570,7 @@ def test_load_chat_prompty(self): agent = load(PROMPTS_DIR / "anthropic_chat.prompty") assert agent.model.provider == "anthropic" - assert agent.model.apiType == "chat" + assert agent.model.api_type == "chat" assert agent.model.id == "claude-sonnet-4-5-20250929" def test_load_tools_prompty(self): diff --git a/runtime/python/prompty/tests/test_loader.py b/runtime/python/prompty/tests/test_loader.py index d4a8cecd..0689593b 100644 --- a/runtime/python/prompty/tests/test_loader.py +++ b/runtime/python/prompty/tests/test_loader.py @@ -117,7 +117,7 @@ def test_load_model_full(self): agent = load(PROMPTS / "basic.prompty") assert agent.model.id == "gpt-4" assert agent.model.provider == "foundry" - assert agent.model.apiType == "chat" + assert agent.model.api_type == "chat" finally: del os.environ["AZURE_OPENAI_ENDPOINT"] del os.environ["AZURE_OPENAI_API_KEY"] @@ -131,7 +131,7 @@ def test_load_model_connection(self): conn = agent.model.connection assert isinstance(conn, ApiKeyConnection) assert conn.endpoint == "https://test.openai.azure.com/" - assert conn.apiKey == "test-key-123" + assert conn.api_key == "test-key-123" finally: del os.environ["AZURE_OPENAI_ENDPOINT"] del os.environ["AZURE_OPENAI_API_KEY"] @@ -145,7 +145,7 @@ def test_load_model_options(self): opts = agent.model.options assert opts is not None assert opts.temperature == 0.7 - assert opts.maxOutputTokens == 1000 + assert opts.max_output_tokens == 1000 finally: del os.environ["AZURE_OPENAI_ENDPOINT"] del os.environ["AZURE_OPENAI_API_KEY"] @@ -221,7 +221,7 @@ def test_load_tools_mcp(self): tool = agent.tools[0] assert isinstance(tool, McpTool) assert tool.name == "filesystem" - assert tool.serverName == "filesystem-server" + assert tool.server_name == "filesystem-server" assert isinstance(tool.connection, ReferenceConnection) def test_load_tools_openapi(self): @@ -300,7 +300,7 @@ def test_load_env_resolution(self): conn = agent.model.connection assert isinstance(conn, ApiKeyConnection) assert conn.endpoint == "https://resolved.openai.azure.com/" - assert conn.apiKey == "resolved-key" + assert conn.api_key == "resolved-key" finally: del os.environ["TEST_ENDPOINT"] del os.environ["TEST_API_KEY"] @@ -356,7 +356,7 @@ def test_load_shared_connection(self): conn = agent.model.connection assert isinstance(conn, ApiKeyConnection) assert conn.endpoint == "https://shared.openai.azure.com/" - assert conn.apiKey == "shared-key" + assert conn.api_key == "shared-key" def test_load_shared_connection_kind(self): """Shared connection resolves to correct kind.""" diff --git a/runtime/python/prompty/tests/test_spec_vectors.py b/runtime/python/prompty/tests/test_spec_vectors.py index b68b5ec1..99f62fb8 100644 --- a/runtime/python/prompty/tests/test_spec_vectors.py +++ b/runtime/python/prompty/tests/test_spec_vectors.py @@ -406,8 +406,8 @@ def _check_model(model: Model, expected: dict, errors: list[str]): if model.provider != expected["provider"]: errors.append(f" model.provider: {model.provider!r} != expected {expected['provider']!r}") if "apiType" in expected: - if model.apiType != expected["apiType"]: - errors.append(f" model.apiType: {model.apiType!r} != expected {expected['apiType']!r}") + if model.api_type != expected["apiType"]: + errors.append(f" model.api_type: {model.api_type!r} != expected {expected['apiType']!r}") if "connection" in expected and expected["connection"] is not None: conn = model.connection exp_conn = expected["connection"] @@ -423,9 +423,9 @@ def _check_model(model: Model, expected: dict, errors: list[str]): if actual_ep != exp_conn["endpoint"]: errors.append(f" model.connection.endpoint: {actual_ep!r} != expected {exp_conn['endpoint']!r}") if "apiKey" in exp_conn: - actual_key = getattr(conn, "apiKey", None) + actual_key = getattr(conn, "api_key", None) if actual_key != exp_conn["apiKey"]: - errors.append(f" model.connection.apiKey: {actual_key!r} != expected {exp_conn['apiKey']!r}") + errors.append(f" model.connection.api_key: {actual_key!r} != expected {exp_conn['apiKey']!r}") if "options" in expected and expected["options"] is not None: opts = model.options exp_opts = expected["options"] @@ -434,9 +434,9 @@ def _check_model(model: Model, expected: dict, errors: list[str]): else: if "temperature" in exp_opts and opts.temperature != exp_opts["temperature"]: errors.append(f" model.options.temperature: {opts.temperature} != {exp_opts['temperature']}") - if "maxOutputTokens" in exp_opts and opts.maxOutputTokens != exp_opts["maxOutputTokens"]: + if "maxOutputTokens" in exp_opts and opts.max_output_tokens != exp_opts["maxOutputTokens"]: errors.append( - f" model.options.maxOutputTokens: {opts.maxOutputTokens} != {exp_opts['maxOutputTokens']}" + f" model.options.max_output_tokens: {opts.max_output_tokens} != {exp_opts['maxOutputTokens']}" ) @@ -478,9 +478,9 @@ def _check_tools(actual: list, expected: list[dict], errors: list[str]): act_params = getattr(act, "parameters", []) or [] _check_properties(act_params, exp["parameters"], f"{prefix}.parameters", errors) if "serverName" in exp: - act_val = getattr(act, "serverName", None) + act_val = getattr(act, "server_name", None) if act_val != exp["serverName"]: - errors.append(f" {prefix}.serverName: {act_val!r} != expected {exp['serverName']!r}") + errors.append(f" {prefix}.server_name: {act_val!r} != expected {exp['serverName']!r}") if "specification" in exp: act_val = getattr(act, "specification", None) if act_val != exp["specification"]: diff --git a/runtime/python/prompty/tests/test_structured.py b/runtime/python/prompty/tests/test_structured.py index 7966e93c..44f34222 100644 --- a/runtime/python/prompty/tests/test_structured.py +++ b/runtime/python/prompty/tests/test_structured.py @@ -199,7 +199,7 @@ def test_openai_processor_returns_structured_result_on_chat(self): agent = MagicMock() agent.outputs = [MagicMock()] agent.model = MagicMock() - agent.model.apiType = "chat" + agent.model.api_type = "chat" # Create a mock ChatCompletion mock_choice = MagicMock() From 2367405c81360fd94c59ad5c68fa947a50ba22f8 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 15:56:24 -0700 Subject: [PATCH 09/85] fix: Python emitter snake_case + PromptyTool mode field + test cleanup - Fix Python emitter to generate snake_case field names (was camelCase) - file.py.njk: snakeCase filter on field decls, collection methods, save access, factories - _macros.njk: snakeCase filter on setInstance/saveProperty field access - test-context.ts: Python renderKey now uses toSnakeCase - Update all Python runtime code for snake_case model attributes: - providers/openai/executor.py (29 changes) - providers/anthropic/executor.py (11 changes) - providers/foundry/executor.py (6 changes) - 6 test files updated - Add PromptyTool.mode field to TypeSpec (alias: 'single' | 'agentic') - Enables declarative sub-agent delegation via mode: agentic - Default: 'single' (single-shot invoke, no agent loop) - Regenerated across all 4 runtimes + schemas + docs - Clean up test_spec_vectors.py: filter extension vectors at parametrization level instead of pytest.skip() inside test body - Eliminates 17 spurious SKIPPED results Python: 989 passed, 0 failed, 0 skipped Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../Model/PromptyToolConversionTests.cs | 16 +++- .../csharp/Prompty.Core/Model/PromptyTool.cs | 23 ++++-- runtime/go/prompty/model/prompty_tool_test.go | 22 ++++- runtime/go/prompty/model/tool.go | 20 +++-- .../prompty/prompty/model/_Connection.py | 70 ++++++++-------- .../prompty/prompty/model/_ContentPart.py | 30 +++---- .../prompty/prompty/model/_McpApprovalMode.py | 20 ++--- .../python/prompty/prompty/model/_Model.py | 10 +-- .../prompty/prompty/model/_ModelInfo.py | 60 +++++++------- .../prompty/prompty/model/_ModelOptions.py | 80 +++++++++---------- .../python/prompty/prompty/model/_Prompty.py | 10 +-- .../python/prompty/prompty/model/_Property.py | 10 +-- .../prompty/prompty/model/_StreamChunk.py | 10 +-- runtime/python/prompty/prompty/model/_Tool.py | 55 +++++++------ .../prompty/providers/anthropic/executor.py | 44 +++++----- .../tests/model/test_api_key_connection.py | 6 +- .../prompty/tests/model/test_audio_part.py | 6 +- .../prompty/tests/model/test_connection.py | 12 +-- .../prompty/tests/model/test_file_part.py | 6 +- .../tests/model/test_foundry_connection.py | 6 +- .../prompty/tests/model/test_image_part.py | 6 +- .../prompty/tests/model/test_mcp_tool.py | 12 +-- .../python/prompty/tests/model/test_model.py | 6 +- .../prompty/tests/model/test_model_info.py | 18 ++--- .../prompty/tests/model/test_model_options.py | 36 ++++----- .../tests/model/test_o_auth_connection.py | 18 ++--- .../prompty/tests/model/test_prompty.py | 48 +++++------ .../prompty/tests/model/test_prompty_tool.py | 16 +++- .../python/prompty/tests/test_spec_vectors.py | 13 +-- runtime/rust/prompty/src/model/tool.rs | 8 +- runtime/rust/prompty/src/model/tool_call.rs | 2 +- .../packages/core/src/model/tool.ts | 25 ++++-- .../core/tests/model/prompty-tool.test.ts | 16 +++- .../emitter/src/templates/python/_macros.njk | 14 ++-- .../emitter/src/templates/python/file.py.njk | 18 ++--- schema/emitter/src/test-context.ts | 4 +- schema/model/tools/prompty.tsp | 22 +++-- vscode/prompty/schemas/PromptyTool.yaml | 16 ++-- vscode/prompty/schemas/PromptyToolMode.yaml | 13 +++ web/src/content/docs/reference/PromptyTool.md | 11 +-- web/src/content/docs/reference/Tool.md | 1 + web/src/content/docs/reference/index.md | 1 + 42 files changed, 481 insertions(+), 359 deletions(-) create mode 100644 vscode/prompty/schemas/PromptyToolMode.yaml diff --git a/runtime/csharp/Prompty.Core.Tests/Model/PromptyToolConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/PromptyToolConversionTests.cs index 493073df..e6eca0ca 100644 --- a/runtime/csharp/Prompty.Core.Tests/Model/PromptyToolConversionTests.cs +++ b/runtime/csharp/Prompty.Core.Tests/Model/PromptyToolConversionTests.cs @@ -14,6 +14,7 @@ public void LoadYamlInput() string yamlData = """ kind: prompty path: ./summarize.prompty +mode: single """; @@ -22,6 +23,7 @@ public void LoadYamlInput() Assert.NotNull(instance); Assert.Equal("prompty", instance.Kind); Assert.Equal("./summarize.prompty", instance.Path); + Assert.Equal("single", instance.Mode); } [Fact] @@ -30,7 +32,8 @@ public void LoadJsonInput() string jsonData = """ { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } """; @@ -38,6 +41,7 @@ public void LoadJsonInput() Assert.NotNull(instance); Assert.Equal("prompty", instance.Kind); Assert.Equal("./summarize.prompty", instance.Path); + Assert.Equal("single", instance.Mode); } [Fact] @@ -47,7 +51,8 @@ public void RoundtripJson() string jsonData = """ { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } """; @@ -61,6 +66,7 @@ public void RoundtripJson() Assert.NotNull(reloaded); Assert.Equal("prompty", reloaded.Kind); Assert.Equal("./summarize.prompty", reloaded.Path); + Assert.Equal("single", reloaded.Mode); } [Fact] @@ -70,6 +76,7 @@ public void RoundtripYaml() string yamlData = """ kind: prompty path: ./summarize.prompty +mode: single """; @@ -83,6 +90,7 @@ public void RoundtripYaml() Assert.NotNull(reloaded); Assert.Equal("prompty", reloaded.Kind); Assert.Equal("./summarize.prompty", reloaded.Path); + Assert.Equal("single", reloaded.Mode); } [Fact] @@ -91,7 +99,8 @@ public void ToJsonProducesValidJson() string jsonData = """ { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } """; @@ -109,6 +118,7 @@ public void ToYamlProducesValidYaml() string yamlData = """ kind: prompty path: ./summarize.prompty +mode: single """; diff --git a/runtime/csharp/Prompty.Core/Model/PromptyTool.cs b/runtime/csharp/Prompty.Core/Model/PromptyTool.cs index c52cb1a3..abebc39a 100644 --- a/runtime/csharp/Prompty.Core/Model/PromptyTool.cs +++ b/runtime/csharp/Prompty.Core/Model/PromptyTool.cs @@ -9,11 +9,9 @@ namespace Prompty.Core; /// /// A tool that references another .prompty file to be invoked as a tool. /// -/// PromptyTool is always single-shot — the child prompty is loaded, rendered, -/// and executed with a single LLM call (invoke). It does NOT run an agent loop. -/// -/// Applications that need agentic sub-agent delegation should register -/// `kind: function` tools that internally call `turn()` with their own TurnOptions. +/// In `single` mode (default), the child prompty is loaded, rendered, and +/// executed with a single LLM call (invoke). In `agentic` mode, the child +/// runs as a sub-agent via `turn()` with its own tool-calling loop. /// public class PromptyTool : Tool { @@ -41,6 +39,11 @@ public PromptyTool() /// public string Path { get; set; } = string.Empty; + /// + /// Execution mode — 'single' for single-shot invoke (default) or 'agentic' for sub-agent turn + /// + public string? Mode { get; set; } + #region Load Methods @@ -72,6 +75,11 @@ public PromptyTool() instance.Path = pathValue?.ToString()!; } + if (data.TryGetValue("mode", out var modeValue) && modeValue is not null) + { + instance.Mode = modeValue?.ToString()!; + } + if (context is not null) { instance = context.ProcessOutput(instance); @@ -113,6 +121,11 @@ public PromptyTool() result["path"] = obj.Path; } + if (obj.Mode is not null) + { + result["mode"] = obj.Mode; + } + return result; } diff --git a/runtime/go/prompty/model/prompty_tool_test.go b/runtime/go/prompty/model/prompty_tool_test.go index 20e97f46..a1ae7890 100644 --- a/runtime/go/prompty/model/prompty_tool_test.go +++ b/runtime/go/prompty/model/prompty_tool_test.go @@ -16,7 +16,8 @@ func TestPromptyToolLoadJSON(t *testing.T) { jsonData := ` { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } ` var data map[string]interface{} @@ -35,6 +36,9 @@ func TestPromptyToolLoadJSON(t *testing.T) { if instance.Path != "./summarize.prompty" { t.Errorf(`Expected Path to be "./summarize.prompty", got %v`, instance.Path) } + if instance.Mode == nil || *instance.Mode != "single" { + t.Errorf(`Expected Mode to be "single", got %v`, instance.Mode) + } } // TestPromptyToolLoadYAML tests loading PromptyTool from YAML @@ -42,6 +46,7 @@ func TestPromptyToolLoadYAML(t *testing.T) { yamlData := ` kind: prompty path: ./summarize.prompty +mode: single ` var data map[string]interface{} @@ -60,6 +65,9 @@ path: ./summarize.prompty if instance.Path != "./summarize.prompty" { t.Errorf(`Expected Path to be "./summarize.prompty", got %v`, instance.Path) } + if instance.Mode == nil || *instance.Mode != "single" { + t.Errorf(`Expected Mode to be "single", got %v`, instance.Mode) + } } // TestPromptyToolRoundtrip tests load -> save -> load produces equivalent data @@ -67,7 +75,8 @@ func TestPromptyToolRoundtrip(t *testing.T) { jsonData := ` { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } ` var data map[string]interface{} @@ -93,6 +102,9 @@ func TestPromptyToolRoundtrip(t *testing.T) { if reloaded.Path != "./summarize.prompty" { t.Errorf(`Expected Path to be "./summarize.prompty", got %v`, reloaded.Path) } + if reloaded.Mode == nil || *reloaded.Mode != "single" { + t.Errorf(`Expected Mode to be "single", got %v`, reloaded.Mode) + } } // TestPromptyToolToJSON tests that ToJSON produces valid JSON @@ -100,7 +112,8 @@ func TestPromptyToolToJSON(t *testing.T) { jsonData := ` { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } ` var data map[string]interface{} @@ -129,7 +142,8 @@ func TestPromptyToolToYAML(t *testing.T) { jsonData := ` { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } ` var data map[string]interface{} diff --git a/runtime/go/prompty/model/tool.go b/runtime/go/prompty/model/tool.go index 6187f6bb..551b297f 100644 --- a/runtime/go/prompty/model/tool.go +++ b/runtime/go/prompty/model/tool.go @@ -549,15 +549,14 @@ func OpenApiToolFromYAML(yamlStr string) (OpenApiTool, error) { // PromptyTool represents A tool that references another .prompty file to be invoked as a tool. // -// PromptyTool is always single-shot — the child prompty is loaded, rendered, -// and executed with a single LLM call (invoke). It does NOT run an agent loop. -// -// Applications that need agentic sub-agent delegation should register -// `kind: function` tools that internally call `turn()` with their own TurnOptions. +// In `single` mode (default), the child prompty is loaded, rendered, and +// executed with a single LLM call (invoke). In `agentic` mode, the child +// runs as a sub-agent via `turn()` with its own tool-calling loop. type PromptyTool struct { - Kind string `json:"kind" yaml:"kind"` - Path string `json:"path" yaml:"path"` + Kind string `json:"kind" yaml:"kind"` + Path string `json:"path" yaml:"path"` + Mode *string `json:"mode,omitempty" yaml:"mode,omitempty"` } // LoadPromptyTool creates a PromptyTool from a map[string]interface{} @@ -572,6 +571,10 @@ func LoadPromptyTool(data interface{}, ctx *LoadContext) (PromptyTool, error) { if val, ok := m["path"]; ok && val != nil { result.Path = val.(string) } + if val, ok := m["mode"]; ok && val != nil { + v := val.(string) + result.Mode = &v + } } return result, nil @@ -582,6 +585,9 @@ func (obj *PromptyTool) Save(ctx *SaveContext) map[string]interface{} { result := make(map[string]interface{}) result["kind"] = obj.Kind result["path"] = obj.Path + if obj.Mode != nil { + result["mode"] = *obj.Mode + } return result } diff --git a/runtime/python/prompty/prompty/model/_Connection.py b/runtime/python/prompty/prompty/model/_Connection.py index 98733764..55942eaa 100644 --- a/runtime/python/prompty/prompty/model/_Connection.py +++ b/runtime/python/prompty/prompty/model/_Connection.py @@ -21,17 +21,17 @@ class Connection(ABC): ---------- kind : str The Authentication kind for the AI service (e.g., 'key' for API key, 'oauth' for OAuth tokens) - authenticationMode : Optional[str] + authentication_mode : Optional[str] The authority level for the connection, indicating under whose authority the connection is made (e.g., 'user', 'agent', 'system') - usageDescription : Optional[str] + usage_description : Optional[str] The usage description for the connection, providing context on how this connection will be used """ _shorthand_property: ClassVar[str | None] = None kind: str = field(default="") - authenticationMode: str | None = None - usageDescription: str | None = None + authentication_mode: str | None = None + usage_description: str | None = None @staticmethod def load(data: Any, context: LoadContext | None = None) -> "Connection": @@ -57,9 +57,9 @@ def load(data: Any, context: LoadContext | None = None) -> "Connection": if data is not None and "kind" in data: instance.kind = data["kind"] if data is not None and "authenticationMode" in data: - instance.authenticationMode = data["authenticationMode"] + instance.authentication_mode = data["authenticationMode"] if data is not None and "usageDescription" in data: - instance.usageDescription = data["usageDescription"] + instance.usage_description = data["usageDescription"] if context is not None: instance = context.process_output(instance) return instance @@ -108,10 +108,10 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if obj.kind is not None: result["kind"] = obj.kind - if obj.authenticationMode is not None: - result["authenticationMode"] = obj.authenticationMode - if obj.usageDescription is not None: - result["usageDescription"] = obj.usageDescription + if obj.authentication_mode is not None: + result["authenticationMode"] = obj.authentication_mode + if obj.usage_description is not None: + result["usageDescription"] = obj.usage_description if context is not None: result = context.process_dict(result) @@ -364,7 +364,7 @@ class ApiKeyConnection(Connection): The Authentication kind for the AI service (e.g., 'key' for API key, 'oauth' for OAuth tokens) endpoint : str The endpoint URL for the AI service - apiKey : str + api_key : str The API key for authenticating with the AI service """ @@ -372,7 +372,7 @@ class ApiKeyConnection(Connection): kind: str = field(default="key") endpoint: str = field(default="") - apiKey: str = field(default="") + api_key: str = field(default="") @staticmethod def load(data: Any, context: LoadContext | None = None) -> "ApiKeyConnection": @@ -399,7 +399,7 @@ def load(data: Any, context: LoadContext | None = None) -> "ApiKeyConnection": if data is not None and "endpoint" in data: instance.endpoint = data["endpoint"] if data is not None and "apiKey" in data: - instance.apiKey = data["apiKey"] + instance.api_key = data["apiKey"] if context is not None: instance = context.process_output(instance) return instance @@ -427,8 +427,8 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result["kind"] = obj.kind if obj.endpoint is not None: result["endpoint"] = obj.endpoint - if obj.apiKey is not None: - result["apiKey"] = obj.apiKey + if obj.api_key is not None: + result["apiKey"] = obj.api_key return result @@ -571,7 +571,7 @@ class FoundryConnection(Connection): The Foundry project endpoint URL name : Optional[str] The named connection within the Foundry project - connectionType : Optional[str] + connection_type : Optional[str] The connection type within the Foundry project (e.g., 'model', 'index', 'storage') """ @@ -580,7 +580,7 @@ class FoundryConnection(Connection): kind: str = field(default="foundry") endpoint: str = field(default="") name: str | None = None - connectionType: str | None = None + connection_type: str | None = None @staticmethod def load(data: Any, context: LoadContext | None = None) -> "FoundryConnection": @@ -609,7 +609,7 @@ def load(data: Any, context: LoadContext | None = None) -> "FoundryConnection": if data is not None and "name" in data: instance.name = data["name"] if data is not None and "connectionType" in data: - instance.connectionType = data["connectionType"] + instance.connection_type = data["connectionType"] if context is not None: instance = context.process_output(instance) return instance @@ -639,8 +639,8 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result["endpoint"] = obj.endpoint if obj.name is not None: result["name"] = obj.name - if obj.connectionType is not None: - result["connectionType"] = obj.connectionType + if obj.connection_type is not None: + result["connectionType"] = obj.connection_type return result @@ -683,11 +683,11 @@ class OAuthConnection(Connection): The connection kind for OAuth authentication endpoint : str The endpoint URL for the service - clientId : str + client_id : str The OAuth client ID - clientSecret : str + client_secret : str The OAuth client secret - tokenUrl : str + token_url : str The OAuth token endpoint URL scopes : list[str] OAuth scopes to request @@ -697,9 +697,9 @@ class OAuthConnection(Connection): kind: str = field(default="oauth") endpoint: str = field(default="") - clientId: str = field(default="") - clientSecret: str = field(default="") - tokenUrl: str = field(default="") + client_id: str = field(default="") + client_secret: str = field(default="") + token_url: str = field(default="") scopes: list[str] = field(default_factory=list) @staticmethod @@ -727,11 +727,11 @@ def load(data: Any, context: LoadContext | None = None) -> "OAuthConnection": if data is not None and "endpoint" in data: instance.endpoint = data["endpoint"] if data is not None and "clientId" in data: - instance.clientId = data["clientId"] + instance.client_id = data["clientId"] if data is not None and "clientSecret" in data: - instance.clientSecret = data["clientSecret"] + instance.client_secret = data["clientSecret"] if data is not None and "tokenUrl" in data: - instance.tokenUrl = data["tokenUrl"] + instance.token_url = data["tokenUrl"] if data is not None and "scopes" in data: instance.scopes = data["scopes"] if context is not None: @@ -761,12 +761,12 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result["kind"] = obj.kind if obj.endpoint is not None: result["endpoint"] = obj.endpoint - if obj.clientId is not None: - result["clientId"] = obj.clientId - if obj.clientSecret is not None: - result["clientSecret"] = obj.clientSecret - if obj.tokenUrl is not None: - result["tokenUrl"] = obj.tokenUrl + if obj.client_id is not None: + result["clientId"] = obj.client_id + if obj.client_secret is not None: + result["clientSecret"] = obj.client_secret + if obj.token_url is not None: + result["tokenUrl"] = obj.token_url if obj.scopes is not None: result["scopes"] = obj.scopes diff --git a/runtime/python/prompty/prompty/model/_ContentPart.py b/runtime/python/prompty/prompty/model/_ContentPart.py index 0938f82e..42ff6bf6 100644 --- a/runtime/python/prompty/prompty/model/_ContentPart.py +++ b/runtime/python/prompty/prompty/model/_ContentPart.py @@ -235,7 +235,7 @@ class ImagePart(ContentPart): URL or base64-encoded image data detail : Optional[str] Detail level hint for the model (e.g., 'auto', 'low', 'high') - mediaType : Optional[str] + media_type : Optional[str] MIME type of the image (e.g., 'image/png') """ @@ -244,7 +244,7 @@ class ImagePart(ContentPart): kind: str = field(default="image") source: str = field(default="") detail: str | None = None - mediaType: str | None = None + media_type: str | None = None @staticmethod def load(data: Any, context: LoadContext | None = None) -> "ImagePart": @@ -273,7 +273,7 @@ def load(data: Any, context: LoadContext | None = None) -> "ImagePart": if data is not None and "detail" in data: instance.detail = data["detail"] if data is not None and "mediaType" in data: - instance.mediaType = data["mediaType"] + instance.media_type = data["mediaType"] if context is not None: instance = context.process_output(instance) return instance @@ -303,8 +303,8 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result["source"] = obj.source if obj.detail is not None: result["detail"] = obj.detail - if obj.mediaType is not None: - result["mediaType"] = obj.mediaType + if obj.media_type is not None: + result["mediaType"] = obj.media_type return result @@ -345,7 +345,7 @@ class FilePart(ContentPart): The kind identifier for file content source : str URL or base64-encoded file data - mediaType : Optional[str] + media_type : Optional[str] MIME type of the file (e.g., 'application/pdf') """ @@ -353,7 +353,7 @@ class FilePart(ContentPart): kind: str = field(default="file") source: str = field(default="") - mediaType: str | None = None + media_type: str | None = None @staticmethod def load(data: Any, context: LoadContext | None = None) -> "FilePart": @@ -380,7 +380,7 @@ def load(data: Any, context: LoadContext | None = None) -> "FilePart": if data is not None and "source" in data: instance.source = data["source"] if data is not None and "mediaType" in data: - instance.mediaType = data["mediaType"] + instance.media_type = data["mediaType"] if context is not None: instance = context.process_output(instance) return instance @@ -408,8 +408,8 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result["kind"] = obj.kind if obj.source is not None: result["source"] = obj.source - if obj.mediaType is not None: - result["mediaType"] = obj.mediaType + if obj.media_type is not None: + result["mediaType"] = obj.media_type return result @@ -450,7 +450,7 @@ class AudioPart(ContentPart): The kind identifier for audio content source : str URL or base64-encoded audio data - mediaType : Optional[str] + media_type : Optional[str] MIME type of the audio (e.g., 'audio/wav') """ @@ -458,7 +458,7 @@ class AudioPart(ContentPart): kind: str = field(default="audio") source: str = field(default="") - mediaType: str | None = None + media_type: str | None = None @staticmethod def load(data: Any, context: LoadContext | None = None) -> "AudioPart": @@ -485,7 +485,7 @@ def load(data: Any, context: LoadContext | None = None) -> "AudioPart": if data is not None and "source" in data: instance.source = data["source"] if data is not None and "mediaType" in data: - instance.mediaType = data["mediaType"] + instance.media_type = data["mediaType"] if context is not None: instance = context.process_output(instance) return instance @@ -513,8 +513,8 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result["kind"] = obj.kind if obj.source is not None: result["source"] = obj.source - if obj.mediaType is not None: - result["mediaType"] = obj.mediaType + if obj.media_type is not None: + result["mediaType"] = obj.media_type return result diff --git a/runtime/python/prompty/prompty/model/_McpApprovalMode.py b/runtime/python/prompty/prompty/model/_McpApprovalMode.py index ed407bda..f8f892a0 100644 --- a/runtime/python/prompty/prompty/model/_McpApprovalMode.py +++ b/runtime/python/prompty/prompty/model/_McpApprovalMode.py @@ -20,17 +20,17 @@ class McpApprovalMode: ---------- kind : str The approval mode: 'always', 'never', or 'specify' - alwaysRequireApprovalTools : list[str] + always_require_approval_tools : list[str] List of tools that always require approval (only used when kind is 'specify') - neverRequireApprovalTools : list[str] + never_require_approval_tools : list[str] List of tools that never require approval (only used when kind is 'specify') """ _shorthand_property: ClassVar[str | None] = "kind" kind: str = field(default="") - alwaysRequireApprovalTools: list[str] = field(default_factory=list) - neverRequireApprovalTools: list[str] = field(default_factory=list) + always_require_approval_tools: list[str] = field(default_factory=list) + never_require_approval_tools: list[str] = field(default_factory=list) @staticmethod def load(data: Any, context: LoadContext | None = None) -> "McpApprovalMode": @@ -59,9 +59,9 @@ def load(data: Any, context: LoadContext | None = None) -> "McpApprovalMode": if data is not None and "kind" in data: instance.kind = data["kind"] if data is not None and "alwaysRequireApprovalTools" in data: - instance.alwaysRequireApprovalTools = data["alwaysRequireApprovalTools"] + instance.always_require_approval_tools = data["alwaysRequireApprovalTools"] if data is not None and "neverRequireApprovalTools" in data: - instance.neverRequireApprovalTools = data["neverRequireApprovalTools"] + instance.never_require_approval_tools = data["neverRequireApprovalTools"] if context is not None: instance = context.process_output(instance) return instance @@ -85,10 +85,10 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if obj.kind is not None: result["kind"] = obj.kind - if obj.alwaysRequireApprovalTools is not None: - result["alwaysRequireApprovalTools"] = obj.alwaysRequireApprovalTools - if obj.neverRequireApprovalTools is not None: - result["neverRequireApprovalTools"] = obj.neverRequireApprovalTools + if obj.always_require_approval_tools is not None: + result["alwaysRequireApprovalTools"] = obj.always_require_approval_tools + if obj.never_require_approval_tools is not None: + result["neverRequireApprovalTools"] = obj.never_require_approval_tools if context is not None: result = context.process_dict(result) diff --git a/runtime/python/prompty/prompty/model/_Model.py b/runtime/python/prompty/prompty/model/_Model.py index 0b48e770..427f57d8 100644 --- a/runtime/python/prompty/prompty/model/_Model.py +++ b/runtime/python/prompty/prompty/model/_Model.py @@ -24,7 +24,7 @@ class Model: The unique identifier of the model - can be used as the single property shorthand provider : Optional[str] The provider of the model (e.g., 'openai', 'foundry', 'anthropic') - apiType : Optional[str] + api_type : Optional[str] The type of API to use for the model (e.g., 'chat', 'response', etc.) connection : Optional[Connection] The connection configuration for the model @@ -36,7 +36,7 @@ class Model: id: str = field(default="") provider: str | None = None - apiType: str | None = None + api_type: str | None = None connection: Connection | None = None options: ModelOptions | None = None @@ -69,7 +69,7 @@ def load(data: Any, context: LoadContext | None = None) -> "Model": if data is not None and "provider" in data: instance.provider = data["provider"] if data is not None and "apiType" in data: - instance.apiType = data["apiType"] + instance.api_type = data["apiType"] if data is not None and "connection" in data: instance.connection = Connection.load(data["connection"], context) if data is not None and "options" in data: @@ -99,8 +99,8 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result["id"] = obj.id if obj.provider is not None: result["provider"] = obj.provider - if obj.apiType is not None: - result["apiType"] = obj.apiType + if obj.api_type is not None: + result["apiType"] = obj.api_type if obj.connection is not None: result["connection"] = obj.connection.save(context) if obj.options is not None: diff --git a/runtime/python/prompty/prompty/model/_ModelInfo.py b/runtime/python/prompty/prompty/model/_ModelInfo.py index 224f1f05..89c4d61b 100644 --- a/runtime/python/prompty/prompty/model/_ModelInfo.py +++ b/runtime/python/prompty/prompty/model/_ModelInfo.py @@ -23,29 +23,29 @@ class ModelInfo: ---------- id : str The model identifier (e.g., 'gpt-4o', 'claude-3-opus') - displayName : Optional[str] + display_name : Optional[str] Human-readable display name - ownedBy : Optional[str] + owned_by : Optional[str] The organization or entity that owns the model - contextWindow : Optional[int] + context_window : Optional[int] Maximum context window size in tokens - inputModalities : list[str] + input_modalities : list[str] Input modalities the model accepts (e.g., 'text', 'image', 'audio') - outputModalities : list[str] + output_modalities : list[str] Output modalities the model can produce (e.g., 'text', 'audio') - additionalProperties : Optional[dict[str, Any]] + additional_properties : Optional[dict[str, Any]] Additional provider-specific properties """ _shorthand_property: ClassVar[str | None] = None id: str = field(default="") - displayName: str | None = None - ownedBy: str | None = None - contextWindow: int | None = None - inputModalities: list[str] = field(default_factory=list) - outputModalities: list[str] = field(default_factory=list) - additionalProperties: dict[str, Any] | None = None + display_name: str | None = None + owned_by: str | None = None + context_window: int | None = None + input_modalities: list[str] = field(default_factory=list) + output_modalities: list[str] = field(default_factory=list) + additional_properties: dict[str, Any] | None = None @staticmethod def load(data: Any, context: LoadContext | None = None) -> "ModelInfo": @@ -70,17 +70,17 @@ def load(data: Any, context: LoadContext | None = None) -> "ModelInfo": if data is not None and "id" in data: instance.id = data["id"] if data is not None and "displayName" in data: - instance.displayName = data["displayName"] + instance.display_name = data["displayName"] if data is not None and "ownedBy" in data: - instance.ownedBy = data["ownedBy"] + instance.owned_by = data["ownedBy"] if data is not None and "contextWindow" in data: - instance.contextWindow = data["contextWindow"] + instance.context_window = data["contextWindow"] if data is not None and "inputModalities" in data: - instance.inputModalities = data["inputModalities"] + instance.input_modalities = data["inputModalities"] if data is not None and "outputModalities" in data: - instance.outputModalities = data["outputModalities"] + instance.output_modalities = data["outputModalities"] if data is not None and "additionalProperties" in data: - instance.additionalProperties = data["additionalProperties"] + instance.additional_properties = data["additionalProperties"] if context is not None: instance = context.process_output(instance) return instance @@ -104,18 +104,18 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if obj.id is not None: result["id"] = obj.id - if obj.displayName is not None: - result["displayName"] = obj.displayName - if obj.ownedBy is not None: - result["ownedBy"] = obj.ownedBy - if obj.contextWindow is not None: - result["contextWindow"] = obj.contextWindow - if obj.inputModalities is not None: - result["inputModalities"] = obj.inputModalities - if obj.outputModalities is not None: - result["outputModalities"] = obj.outputModalities - if obj.additionalProperties is not None: - result["additionalProperties"] = obj.additionalProperties + if obj.display_name is not None: + result["displayName"] = obj.display_name + if obj.owned_by is not None: + result["ownedBy"] = obj.owned_by + if obj.context_window is not None: + result["contextWindow"] = obj.context_window + if obj.input_modalities is not None: + result["inputModalities"] = obj.input_modalities + if obj.output_modalities is not None: + result["outputModalities"] = obj.output_modalities + if obj.additional_properties is not None: + result["additionalProperties"] = obj.additional_properties if context is not None: result = context.process_dict(result) diff --git a/runtime/python/prompty/prompty/model/_ModelOptions.py b/runtime/python/prompty/prompty/model/_ModelOptions.py index 9bbbfafa..d6ca6f9b 100644 --- a/runtime/python/prompty/prompty/model/_ModelOptions.py +++ b/runtime/python/prompty/prompty/model/_ModelOptions.py @@ -16,40 +16,40 @@ class ModelOptions: Attributes ---------- - frequencyPenalty : Optional[float] + frequency_penalty : Optional[float] The frequency penalty to apply to the model's output - maxOutputTokens : Optional[int] + max_output_tokens : Optional[int] The maximum number of tokens to generate in the output - presencePenalty : Optional[float] + presence_penalty : Optional[float] The presence penalty to apply to the model's output seed : Optional[int] A random seed for deterministic output temperature : Optional[float] The temperature to use for sampling - topK : Optional[int] + top_k : Optional[int] The top-K sampling value - topP : Optional[float] + top_p : Optional[float] The top-P sampling value - stopSequences : list[str] + stop_sequences : list[str] Stop sequences to end generation - allowMultipleToolCalls : Optional[bool] + allow_multiple_tool_calls : Optional[bool] Whether to allow multiple tool calls in a single response - additionalProperties : Optional[dict[str, Any]] + additional_properties : Optional[dict[str, Any]] Additional custom properties for model options """ _shorthand_property: ClassVar[str | None] = None - frequencyPenalty: float | None = None - maxOutputTokens: int | None = None - presencePenalty: float | None = None + frequency_penalty: float | None = None + max_output_tokens: int | None = None + presence_penalty: float | None = None seed: int | None = None temperature: float | None = None - topK: int | None = None - topP: float | None = None - stopSequences: list[str] = field(default_factory=list) - allowMultipleToolCalls: bool | None = None - additionalProperties: dict[str, Any] | None = None + top_k: int | None = None + top_p: float | None = None + stop_sequences: list[str] = field(default_factory=list) + allow_multiple_tool_calls: bool | None = None + additional_properties: dict[str, Any] | None = None @staticmethod def load(data: Any, context: LoadContext | None = None) -> "ModelOptions": @@ -72,25 +72,25 @@ def load(data: Any, context: LoadContext | None = None) -> "ModelOptions": instance = ModelOptions() if data is not None and "frequencyPenalty" in data: - instance.frequencyPenalty = data["frequencyPenalty"] + instance.frequency_penalty = data["frequencyPenalty"] if data is not None and "maxOutputTokens" in data: - instance.maxOutputTokens = data["maxOutputTokens"] + instance.max_output_tokens = data["maxOutputTokens"] if data is not None and "presencePenalty" in data: - instance.presencePenalty = data["presencePenalty"] + instance.presence_penalty = data["presencePenalty"] if data is not None and "seed" in data: instance.seed = data["seed"] if data is not None and "temperature" in data: instance.temperature = data["temperature"] if data is not None and "topK" in data: - instance.topK = data["topK"] + instance.top_k = data["topK"] if data is not None and "topP" in data: - instance.topP = data["topP"] + instance.top_p = data["topP"] if data is not None and "stopSequences" in data: - instance.stopSequences = data["stopSequences"] + instance.stop_sequences = data["stopSequences"] if data is not None and "allowMultipleToolCalls" in data: - instance.allowMultipleToolCalls = data["allowMultipleToolCalls"] + instance.allow_multiple_tool_calls = data["allowMultipleToolCalls"] if data is not None and "additionalProperties" in data: - instance.additionalProperties = data["additionalProperties"] + instance.additional_properties = data["additionalProperties"] if context is not None: instance = context.process_output(instance) return instance @@ -112,26 +112,26 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result: dict[str, Any] = {} - if obj.frequencyPenalty is not None: - result["frequencyPenalty"] = obj.frequencyPenalty - if obj.maxOutputTokens is not None: - result["maxOutputTokens"] = obj.maxOutputTokens - if obj.presencePenalty is not None: - result["presencePenalty"] = obj.presencePenalty + if obj.frequency_penalty is not None: + result["frequencyPenalty"] = obj.frequency_penalty + if obj.max_output_tokens is not None: + result["maxOutputTokens"] = obj.max_output_tokens + if obj.presence_penalty is not None: + result["presencePenalty"] = obj.presence_penalty if obj.seed is not None: result["seed"] = obj.seed if obj.temperature is not None: result["temperature"] = obj.temperature - if obj.topK is not None: - result["topK"] = obj.topK - if obj.topP is not None: - result["topP"] = obj.topP - if obj.stopSequences is not None: - result["stopSequences"] = obj.stopSequences - if obj.allowMultipleToolCalls is not None: - result["allowMultipleToolCalls"] = obj.allowMultipleToolCalls - if obj.additionalProperties is not None: - result["additionalProperties"] = obj.additionalProperties + if obj.top_k is not None: + result["topK"] = obj.top_k + if obj.top_p is not None: + result["topP"] = obj.top_p + if obj.stop_sequences is not None: + result["stopSequences"] = obj.stop_sequences + if obj.allow_multiple_tool_calls is not None: + result["allowMultipleToolCalls"] = obj.allow_multiple_tool_calls + if obj.additional_properties is not None: + result["additionalProperties"] = obj.additional_properties if context is not None: result = context.process_dict(result) diff --git a/runtime/python/prompty/prompty/model/_Prompty.py b/runtime/python/prompty/prompty/model/_Prompty.py index 36b57886..669a05d0 100644 --- a/runtime/python/prompty/prompty/model/_Prompty.py +++ b/runtime/python/prompty/prompty/model/_Prompty.py @@ -27,7 +27,7 @@ class or kind discriminator. A .prompty file always produces a Prompty instance. ---------- name : str Human-readable name of the prompt - displayName : Optional[str] + display_name : Optional[str] Display name for UI purposes description : Optional[str] Description of the prompt's purpose @@ -50,7 +50,7 @@ class or kind discriminator. A .prompty file always produces a Prompty instance. _shorthand_property: ClassVar[str | None] = None name: str = field(default="") - displayName: str | None = None + display_name: str | None = None description: str | None = None metadata: dict[str, Any] | None = None inputs: list[Property] = field(default_factory=list) @@ -83,7 +83,7 @@ def load(data: Any, context: LoadContext | None = None) -> "Prompty": if data is not None and "name" in data: instance.name = data["name"] if data is not None and "displayName" in data: - instance.displayName = data["displayName"] + instance.display_name = data["displayName"] if data is not None and "description" in data: instance.description = data["description"] if data is not None and "metadata" in data: @@ -237,8 +237,8 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if obj.name is not None: result["name"] = obj.name - if obj.displayName is not None: - result["displayName"] = obj.displayName + if obj.display_name is not None: + result["displayName"] = obj.display_name if obj.description is not None: result["description"] = obj.description if obj.metadata is not None: diff --git a/runtime/python/prompty/prompty/model/_Property.py b/runtime/python/prompty/prompty/model/_Property.py index a150278a..8e5d2a6b 100644 --- a/runtime/python/prompty/prompty/model/_Property.py +++ b/runtime/python/prompty/prompty/model/_Property.py @@ -33,7 +33,7 @@ class Property: The default value of the property - this represents the default value if none is provided example : Optional[Any] Example value used for either initialization or tooling - enumValues : list[Any] + enum_values : list[Any] Allowed enumeration values for the property """ @@ -45,7 +45,7 @@ class Property: required: bool | None = None default: Any | None = None example: Any | None = None - enumValues: list[Any] = field(default_factory=list) + enum_values: list[Any] = field(default_factory=list) @staticmethod def load(data: Any, context: LoadContext | None = None) -> "Property": @@ -91,7 +91,7 @@ def load(data: Any, context: LoadContext | None = None) -> "Property": if data is not None and "example" in data: instance.example = data["example"] if data is not None and "enumValues" in data: - instance.enumValues = data["enumValues"] + instance.enum_values = data["enumValues"] if context is not None: instance = context.process_output(instance) return instance @@ -146,8 +146,8 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result["default"] = obj.default if obj.example is not None: result["example"] = obj.example - if obj.enumValues is not None: - result["enumValues"] = obj.enumValues + if obj.enum_values is not None: + result["enumValues"] = obj.enum_values if context is not None: result = context.process_dict(result) diff --git a/runtime/python/prompty/prompty/model/_StreamChunk.py b/runtime/python/prompty/prompty/model/_StreamChunk.py index a30de00a..88091ec8 100644 --- a/runtime/python/prompty/prompty/model/_StreamChunk.py +++ b/runtime/python/prompty/prompty/model/_StreamChunk.py @@ -330,14 +330,14 @@ class ToolChunk(StreamChunk): ---------- kind : str The kind identifier for tool chunks - toolCall : ToolCall + tool_call : ToolCall The tool call data """ _shorthand_property: ClassVar[str | None] = None kind: str = field(default="tool") - toolCall: ToolCall = field(default_factory=ToolCall) + tool_call: ToolCall = field(default_factory=ToolCall) @staticmethod def load(data: Any, context: LoadContext | None = None) -> "ToolChunk": @@ -362,7 +362,7 @@ def load(data: Any, context: LoadContext | None = None) -> "ToolChunk": if data is not None and "kind" in data: instance.kind = data["kind"] if data is not None and "toolCall" in data: - instance.toolCall = ToolCall.load(data["toolCall"], context) + instance.tool_call = ToolCall.load(data["toolCall"], context) if context is not None: instance = context.process_output(instance) return instance @@ -388,8 +388,8 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: if obj.kind is not None: result["kind"] = obj.kind - if obj.toolCall is not None: - result["toolCall"] = obj.toolCall.save(context) + if obj.tool_call is not None: + result["toolCall"] = obj.tool_call.save(context) return result diff --git a/runtime/python/prompty/prompty/model/_Tool.py b/runtime/python/prompty/prompty/model/_Tool.py index d25a1519..cc94b665 100644 --- a/runtime/python/prompty/prompty/model/_Tool.py +++ b/runtime/python/prompty/prompty/model/_Tool.py @@ -445,13 +445,13 @@ class McpTool(Tool): The kind identifier for MCP tools connection : Connection The connection configuration for the MCP tool - serverName : str + server_name : str The server name of the MCP tool - serverDescription : Optional[str] + server_description : Optional[str] The description of the MCP tool - approvalMode : McpApprovalMode + approval_mode : McpApprovalMode The approval mode for the MCP tool - allowedTools : list[str] + allowed_tools : list[str] List of allowed operations or resources for the MCP tool """ @@ -459,10 +459,10 @@ class McpTool(Tool): kind: str = field(default="mcp") connection: Connection = field(default_factory=Connection) - serverName: str = field(default="") - serverDescription: str | None = None - approvalMode: McpApprovalMode = field(default_factory=McpApprovalMode) - allowedTools: list[str] = field(default_factory=list) + server_name: str = field(default="") + server_description: str | None = None + approval_mode: McpApprovalMode = field(default_factory=McpApprovalMode) + allowed_tools: list[str] = field(default_factory=list) @staticmethod def load(data: Any, context: LoadContext | None = None) -> "McpTool": @@ -489,13 +489,13 @@ def load(data: Any, context: LoadContext | None = None) -> "McpTool": if data is not None and "connection" in data: instance.connection = Connection.load(data["connection"], context) if data is not None and "serverName" in data: - instance.serverName = data["serverName"] + instance.server_name = data["serverName"] if data is not None and "serverDescription" in data: - instance.serverDescription = data["serverDescription"] + instance.server_description = data["serverDescription"] if data is not None and "approvalMode" in data: - instance.approvalMode = McpApprovalMode.load(data["approvalMode"], context) + instance.approval_mode = McpApprovalMode.load(data["approvalMode"], context) if data is not None and "allowedTools" in data: - instance.allowedTools = data["allowedTools"] + instance.allowed_tools = data["allowedTools"] if context is not None: instance = context.process_output(instance) return instance @@ -523,14 +523,14 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result["kind"] = obj.kind if obj.connection is not None: result["connection"] = obj.connection.save(context) - if obj.serverName is not None: - result["serverName"] = obj.serverName - if obj.serverDescription is not None: - result["serverDescription"] = obj.serverDescription - if obj.approvalMode is not None: - result["approvalMode"] = obj.approvalMode.save(context) - if obj.allowedTools is not None: - result["allowedTools"] = obj.allowedTools + if obj.server_name is not None: + result["serverName"] = obj.server_name + if obj.server_description is not None: + result["serverDescription"] = obj.server_description + if obj.approval_mode is not None: + result["approvalMode"] = obj.approval_mode.save(context) + if obj.allowed_tools is not None: + result["allowedTools"] = obj.allowed_tools return result @@ -670,11 +670,9 @@ def to_json(self, context: SaveContext | None = None, indent: int = 2) -> str: class PromptyTool(Tool): """A tool that references another .prompty file to be invoked as a tool. - PromptyTool is always single-shot — the child prompty is loaded, rendered, - and executed with a single LLM call (invoke). It does NOT run an agent loop. - - Applications that need agentic sub-agent delegation should register - `kind: function` tools that internally call `turn()` with their own TurnOptions. + In `single` mode (default), the child prompty is loaded, rendered, and + executed with a single LLM call (invoke). In `agentic` mode, the child + runs as a sub-agent via `turn()` with its own tool-calling loop. Attributes ---------- @@ -682,12 +680,15 @@ class PromptyTool(Tool): The kind identifier for prompty tools path : str Path to the child .prompty file, relative to the parent + mode : Optional[str] + Execution mode — 'single' for single-shot invoke (default) or 'agentic' for sub-agent turn """ _shorthand_property: ClassVar[str | None] = None kind: str = field(default="prompty") path: str = field(default="") + mode: str | None = None @staticmethod def load(data: Any, context: LoadContext | None = None) -> "PromptyTool": @@ -713,6 +714,8 @@ def load(data: Any, context: LoadContext | None = None) -> "PromptyTool": instance.kind = data["kind"] if data is not None and "path" in data: instance.path = data["path"] + if data is not None and "mode" in data: + instance.mode = data["mode"] if context is not None: instance = context.process_output(instance) return instance @@ -740,6 +743,8 @@ def save(self, context: SaveContext | None = None) -> dict[str, Any]: result["kind"] = obj.kind if obj.path is not None: result["path"] = obj.path + if obj.mode is not None: + result["mode"] = obj.mode return result diff --git a/runtime/python/prompty/prompty/providers/anthropic/executor.py b/runtime/python/prompty/prompty/providers/anthropic/executor.py index 74c587ef..21d7ba65 100644 --- a/runtime/python/prompty/prompty/providers/anthropic/executor.py +++ b/runtime/python/prompty/prompty/providers/anthropic/executor.py @@ -134,16 +134,16 @@ def _build_options(agent: Prompty) -> dict[str, Any]: if opts.temperature is not None: result["temperature"] = opts.temperature - if opts.topP is not None: - result["top_p"] = opts.topP - if opts.topK is not None: - result["top_k"] = opts.topK - if opts.stopSequences: - result["stop_sequences"] = opts.stopSequences - - # Pass through additionalProperties - if opts.additionalProperties: - for k, v in opts.additionalProperties.items(): + if opts.top_p is not None: + result["top_p"] = opts.top_p + if opts.top_k is not None: + result["top_k"] = opts.top_k + if opts.stop_sequences: + result["stop_sequences"] = opts.stop_sequences + + # Pass through additional_properties + if opts.additional_properties: + for k, v in opts.additional_properties.items(): if k not in result and k != "max_tokens": result[k] = v @@ -170,8 +170,8 @@ def _property_to_json_schema(prop: Any) -> dict[str, Any]: if hasattr(prop, "description") and prop.description: schema["description"] = prop.description - if hasattr(prop, "enumValues") and prop.enumValues: - schema["enum"] = prop.enumValues + if hasattr(prop, "enum_values") and prop.enum_values: + schema["enum"] = prop.enum_values if getattr(prop, "kind", None) == "array": items = getattr(prop, "items", None) @@ -290,8 +290,8 @@ def _build_chat_args(agent: Prompty, messages: list[Message]) -> dict[str, Any]: conversation.append(_message_to_wire(msg)) max_tokens = DEFAULT_MAX_TOKENS - if agent.model.options and agent.model.options.maxOutputTokens is not None: - max_tokens = agent.model.options.maxOutputTokens + if agent.model.options and agent.model.options.max_output_tokens is not None: + max_tokens = agent.model.options.max_output_tokens args: dict[str, Any] = { "model": model, @@ -333,7 +333,7 @@ class AnthropicExecutor: @trace def execute(self, agent: Prompty, data: Any) -> Any: client = self._resolve_client(agent) - api_type = agent.model.apiType or "chat" + api_type = agent.model.api_type or "chat" if api_type == "chat": return self._execute_chat(client, agent, data) @@ -345,7 +345,7 @@ def execute(self, agent: Prompty, data: Any) -> Any: @trace async def execute_async(self, agent: Prompty, data: Any) -> Any: client = self._resolve_client_async(agent) - api_type = agent.model.apiType or "chat" + api_type = agent.model.api_type or "chat" if api_type == "chat": return await self._execute_chat_async(client, agent, data) @@ -358,8 +358,8 @@ def _execute_chat(self, client: Any, agent: Prompty, data: Any) -> Any: args = _build_chat_args(agent, data) is_streaming = args.pop("stream", False) or ( agent.model.options - and agent.model.options.additionalProperties - and agent.model.options.additionalProperties.get("stream", False) + and agent.model.options.additional_properties + and agent.model.options.additional_properties.get("stream", False) ) if is_streaming: @@ -373,8 +373,8 @@ async def _execute_chat_async(self, client: Any, agent: Prompty, data: Any) -> A args = _build_chat_args(agent, data) is_streaming = args.pop("stream", False) or ( agent.model.options - and agent.model.options.additionalProperties - and agent.model.options.additionalProperties.get("stream", False) + and agent.model.options.additional_properties + and agent.model.options.additional_properties.get("stream", False) ) if is_streaming: @@ -413,8 +413,8 @@ def _client_kwargs(self, agent: Prompty) -> dict[str, Any]: conn = agent.model.connection if isinstance(conn, ApiKeyConnection): - if conn.apiKey: - kwargs["api_key"] = conn.apiKey + if conn.api_key: + kwargs["api_key"] = conn.api_key if conn.endpoint: kwargs["base_url"] = conn.endpoint elif conn: diff --git a/runtime/python/prompty/tests/model/test_api_key_connection.py b/runtime/python/prompty/tests/model/test_api_key_connection.py index 74c611ec..45b1084f 100644 --- a/runtime/python/prompty/tests/model/test_api_key_connection.py +++ b/runtime/python/prompty/tests/model/test_api_key_connection.py @@ -19,7 +19,7 @@ def test_load_json_apikeyconnection(): assert instance is not None assert instance.kind == "key" assert instance.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" - assert instance.apiKey == "your-api-key" + assert instance.api_key == "your-api-key" def test_load_yaml_apikeyconnection(): @@ -34,7 +34,7 @@ def test_load_yaml_apikeyconnection(): assert instance is not None assert instance.kind == "key" assert instance.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" - assert instance.apiKey == "your-api-key" + assert instance.api_key == "your-api-key" def test_roundtrip_json_apikeyconnection(): """Test that load -> save -> load produces equivalent data.""" @@ -52,7 +52,7 @@ def test_roundtrip_json_apikeyconnection(): assert reloaded is not None assert reloaded.kind == "key" assert reloaded.endpoint == "https://{your-custom-endpoint}.openai.azure.com/" - assert reloaded.apiKey == "your-api-key" + assert reloaded.api_key == "your-api-key" def test_to_json_apikeyconnection(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_audio_part.py b/runtime/python/prompty/tests/model/test_audio_part.py index cd7bd946..c791cf9f 100644 --- a/runtime/python/prompty/tests/model/test_audio_part.py +++ b/runtime/python/prompty/tests/model/test_audio_part.py @@ -17,7 +17,7 @@ def test_load_json_audiopart(): instance = AudioPart.load(data) assert instance is not None assert instance.source == "https://example.com/audio.wav" - assert instance.mediaType == "audio/wav" + assert instance.media_type == "audio/wav" def test_load_yaml_audiopart(): @@ -30,7 +30,7 @@ def test_load_yaml_audiopart(): instance = AudioPart.load(data) assert instance is not None assert instance.source == "https://example.com/audio.wav" - assert instance.mediaType == "audio/wav" + assert instance.media_type == "audio/wav" def test_roundtrip_json_audiopart(): """Test that load -> save -> load produces equivalent data.""" @@ -46,7 +46,7 @@ def test_roundtrip_json_audiopart(): reloaded = AudioPart.load(saved_data) assert reloaded is not None assert reloaded.source == "https://example.com/audio.wav" - assert reloaded.mediaType == "audio/wav" + assert reloaded.media_type == "audio/wav" def test_to_json_audiopart(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_connection.py b/runtime/python/prompty/tests/model/test_connection.py index c29a0753..9a4920cf 100644 --- a/runtime/python/prompty/tests/model/test_connection.py +++ b/runtime/python/prompty/tests/model/test_connection.py @@ -18,8 +18,8 @@ def test_load_json_connection(): instance = Connection.load(data) assert instance is not None assert instance.kind == "reference" - assert instance.authenticationMode == "system" - assert instance.usageDescription == "This will allow the agent to respond to an email on your behalf" + assert instance.authentication_mode == "system" + assert instance.usage_description == "This will allow the agent to respond to an email on your behalf" def test_load_yaml_connection(): @@ -33,8 +33,8 @@ def test_load_yaml_connection(): instance = Connection.load(data) assert instance is not None assert instance.kind == "reference" - assert instance.authenticationMode == "system" - assert instance.usageDescription == "This will allow the agent to respond to an email on your behalf" + assert instance.authentication_mode == "system" + assert instance.usage_description == "This will allow the agent to respond to an email on your behalf" def test_roundtrip_json_connection(): """Test that load -> save -> load produces equivalent data.""" @@ -51,8 +51,8 @@ def test_roundtrip_json_connection(): reloaded = Connection.load(saved_data) assert reloaded is not None assert reloaded.kind == "reference" - assert reloaded.authenticationMode == "system" - assert reloaded.usageDescription == "This will allow the agent to respond to an email on your behalf" + assert reloaded.authentication_mode == "system" + assert reloaded.usage_description == "This will allow the agent to respond to an email on your behalf" def test_to_json_connection(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_file_part.py b/runtime/python/prompty/tests/model/test_file_part.py index e4c1d0a9..96364123 100644 --- a/runtime/python/prompty/tests/model/test_file_part.py +++ b/runtime/python/prompty/tests/model/test_file_part.py @@ -17,7 +17,7 @@ def test_load_json_filepart(): instance = FilePart.load(data) assert instance is not None assert instance.source == "https://example.com/document.pdf" - assert instance.mediaType == "application/pdf" + assert instance.media_type == "application/pdf" def test_load_yaml_filepart(): @@ -30,7 +30,7 @@ def test_load_yaml_filepart(): instance = FilePart.load(data) assert instance is not None assert instance.source == "https://example.com/document.pdf" - assert instance.mediaType == "application/pdf" + assert instance.media_type == "application/pdf" def test_roundtrip_json_filepart(): """Test that load -> save -> load produces equivalent data.""" @@ -46,7 +46,7 @@ def test_roundtrip_json_filepart(): reloaded = FilePart.load(saved_data) assert reloaded is not None assert reloaded.source == "https://example.com/document.pdf" - assert reloaded.mediaType == "application/pdf" + assert reloaded.media_type == "application/pdf" def test_to_json_filepart(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_foundry_connection.py b/runtime/python/prompty/tests/model/test_foundry_connection.py index 23cb1a82..5f2643ff 100644 --- a/runtime/python/prompty/tests/model/test_foundry_connection.py +++ b/runtime/python/prompty/tests/model/test_foundry_connection.py @@ -21,7 +21,7 @@ def test_load_json_foundryconnection(): assert instance.kind == "foundry" assert instance.endpoint == "https://myresource.services.ai.azure.com/api/projects/myproject" assert instance.name == "my-openai-connection" - assert instance.connectionType == "model" + assert instance.connection_type == "model" def test_load_yaml_foundryconnection(): @@ -38,7 +38,7 @@ def test_load_yaml_foundryconnection(): assert instance.kind == "foundry" assert instance.endpoint == "https://myresource.services.ai.azure.com/api/projects/myproject" assert instance.name == "my-openai-connection" - assert instance.connectionType == "model" + assert instance.connection_type == "model" def test_roundtrip_json_foundryconnection(): """Test that load -> save -> load produces equivalent data.""" @@ -58,7 +58,7 @@ def test_roundtrip_json_foundryconnection(): assert reloaded.kind == "foundry" assert reloaded.endpoint == "https://myresource.services.ai.azure.com/api/projects/myproject" assert reloaded.name == "my-openai-connection" - assert reloaded.connectionType == "model" + assert reloaded.connection_type == "model" def test_to_json_foundryconnection(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_image_part.py b/runtime/python/prompty/tests/model/test_image_part.py index ee725b23..f40fd876 100644 --- a/runtime/python/prompty/tests/model/test_image_part.py +++ b/runtime/python/prompty/tests/model/test_image_part.py @@ -19,7 +19,7 @@ def test_load_json_imagepart(): assert instance is not None assert instance.source == "https://example.com/image.png" assert instance.detail == "auto" - assert instance.mediaType == "image/png" + assert instance.media_type == "image/png" def test_load_yaml_imagepart(): @@ -34,7 +34,7 @@ def test_load_yaml_imagepart(): assert instance is not None assert instance.source == "https://example.com/image.png" assert instance.detail == "auto" - assert instance.mediaType == "image/png" + assert instance.media_type == "image/png" def test_roundtrip_json_imagepart(): """Test that load -> save -> load produces equivalent data.""" @@ -52,7 +52,7 @@ def test_roundtrip_json_imagepart(): assert reloaded is not None assert reloaded.source == "https://example.com/image.png" assert reloaded.detail == "auto" - assert reloaded.mediaType == "image/png" + assert reloaded.media_type == "image/png" def test_to_json_imagepart(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_mcp_tool.py b/runtime/python/prompty/tests/model/test_mcp_tool.py index d0c5751e..747e3325 100644 --- a/runtime/python/prompty/tests/model/test_mcp_tool.py +++ b/runtime/python/prompty/tests/model/test_mcp_tool.py @@ -28,8 +28,8 @@ def test_load_json_mcptool(): instance = McpTool.load(data) assert instance is not None assert instance.kind == "mcp" - assert instance.serverName == "My MCP Server" - assert instance.serverDescription == "This tool allows access to MCP services." + assert instance.server_name == "My MCP Server" + assert instance.server_description == "This tool allows access to MCP services." def test_load_yaml_mcptool(): @@ -50,8 +50,8 @@ def test_load_yaml_mcptool(): instance = McpTool.load(data) assert instance is not None assert instance.kind == "mcp" - assert instance.serverName == "My MCP Server" - assert instance.serverDescription == "This tool allows access to MCP services." + assert instance.server_name == "My MCP Server" + assert instance.server_description == "This tool allows access to MCP services." def test_roundtrip_json_mcptool(): """Test that load -> save -> load produces equivalent data.""" @@ -78,8 +78,8 @@ def test_roundtrip_json_mcptool(): reloaded = McpTool.load(saved_data) assert reloaded is not None assert reloaded.kind == "mcp" - assert reloaded.serverName == "My MCP Server" - assert reloaded.serverDescription == "This tool allows access to MCP services." + assert reloaded.server_name == "My MCP Server" + assert reloaded.server_description == "This tool allows access to MCP services." def test_to_json_mcptool(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_model.py b/runtime/python/prompty/tests/model/test_model.py index 361121af..f70ebb3e 100644 --- a/runtime/python/prompty/tests/model/test_model.py +++ b/runtime/python/prompty/tests/model/test_model.py @@ -29,7 +29,7 @@ def test_load_json_model(): assert instance is not None assert instance.id == "gpt-35-turbo" assert instance.provider == "foundry" - assert instance.apiType == "chat" + assert instance.api_type == "chat" def test_load_yaml_model(): @@ -52,7 +52,7 @@ def test_load_yaml_model(): assert instance is not None assert instance.id == "gpt-35-turbo" assert instance.provider == "foundry" - assert instance.apiType == "chat" + assert instance.api_type == "chat" def test_roundtrip_json_model(): """Test that load -> save -> load produces equivalent data.""" @@ -80,7 +80,7 @@ def test_roundtrip_json_model(): assert reloaded is not None assert reloaded.id == "gpt-35-turbo" assert reloaded.provider == "foundry" - assert reloaded.apiType == "chat" + assert reloaded.api_type == "chat" def test_to_json_model(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_model_info.py b/runtime/python/prompty/tests/model/test_model_info.py index 0e28da95..f21d17b3 100644 --- a/runtime/python/prompty/tests/model/test_model_info.py +++ b/runtime/python/prompty/tests/model/test_model_info.py @@ -29,9 +29,9 @@ def test_load_json_modelinfo(): instance = ModelInfo.load(data) assert instance is not None assert instance.id == "gpt-4o" - assert instance.displayName == "GPT-4o" - assert instance.ownedBy == "openai" - assert instance.contextWindow == 128000 + assert instance.display_name == "GPT-4o" + assert instance.owned_by == "openai" + assert instance.context_window == 128000 def test_load_yaml_modelinfo(): @@ -53,9 +53,9 @@ def test_load_yaml_modelinfo(): instance = ModelInfo.load(data) assert instance is not None assert instance.id == "gpt-4o" - assert instance.displayName == "GPT-4o" - assert instance.ownedBy == "openai" - assert instance.contextWindow == 128000 + assert instance.display_name == "GPT-4o" + assert instance.owned_by == "openai" + assert instance.context_window == 128000 def test_roundtrip_json_modelinfo(): """Test that load -> save -> load produces equivalent data.""" @@ -83,9 +83,9 @@ def test_roundtrip_json_modelinfo(): reloaded = ModelInfo.load(saved_data) assert reloaded is not None assert reloaded.id == "gpt-4o" - assert reloaded.displayName == "GPT-4o" - assert reloaded.ownedBy == "openai" - assert reloaded.contextWindow == 128000 + assert reloaded.display_name == "GPT-4o" + assert reloaded.owned_by == "openai" + assert reloaded.context_window == 128000 def test_to_json_modelinfo(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_model_options.py b/runtime/python/prompty/tests/model/test_model_options.py index b850ae9c..c13819cb 100644 --- a/runtime/python/prompty/tests/model/test_model_options.py +++ b/runtime/python/prompty/tests/model/test_model_options.py @@ -30,15 +30,15 @@ def test_load_json_modeloptions(): data = json.loads(json_data, strict=False) instance = ModelOptions.load(data) assert instance is not None - assert instance.frequencyPenalty == 0.5 - assert instance.maxOutputTokens == 2048 - assert instance.presencePenalty == 0.3 + assert instance.frequency_penalty == 0.5 + assert instance.max_output_tokens == 2048 + assert instance.presence_penalty == 0.3 assert instance.seed == 42 assert instance.temperature == 0.7 - assert instance.topK == 40 - assert instance.topP == 0.9 + assert instance.top_k == 40 + assert instance.top_p == 0.9 - assert instance.allowMultipleToolCalls + assert instance.allow_multiple_tool_calls def test_load_yaml_modeloptions(): @@ -62,14 +62,14 @@ def test_load_yaml_modeloptions(): data = yaml.load(yaml_data, Loader=yaml.FullLoader) instance = ModelOptions.load(data) assert instance is not None - assert instance.frequencyPenalty == 0.5 - assert instance.maxOutputTokens == 2048 - assert instance.presencePenalty == 0.3 + assert instance.frequency_penalty == 0.5 + assert instance.max_output_tokens == 2048 + assert instance.presence_penalty == 0.3 assert instance.seed == 42 assert instance.temperature == 0.7 - assert instance.topK == 40 - assert instance.topP == 0.9 - assert instance.allowMultipleToolCalls + assert instance.top_k == 40 + assert instance.top_p == 0.9 + assert instance.allow_multiple_tool_calls def test_roundtrip_json_modeloptions(): """Test that load -> save -> load produces equivalent data.""" @@ -98,14 +98,14 @@ def test_roundtrip_json_modeloptions(): saved_data = instance.save() reloaded = ModelOptions.load(saved_data) assert reloaded is not None - assert reloaded.frequencyPenalty == 0.5 - assert reloaded.maxOutputTokens == 2048 - assert reloaded.presencePenalty == 0.3 + assert reloaded.frequency_penalty == 0.5 + assert reloaded.max_output_tokens == 2048 + assert reloaded.presence_penalty == 0.3 assert reloaded.seed == 42 assert reloaded.temperature == 0.7 - assert reloaded.topK == 40 - assert reloaded.topP == 0.9 - assert reloaded.allowMultipleToolCalls + assert reloaded.top_k == 40 + assert reloaded.top_p == 0.9 + assert reloaded.allow_multiple_tool_calls def test_to_json_modeloptions(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_o_auth_connection.py b/runtime/python/prompty/tests/model/test_o_auth_connection.py index ab0e9af5..553c8c05 100644 --- a/runtime/python/prompty/tests/model/test_o_auth_connection.py +++ b/runtime/python/prompty/tests/model/test_o_auth_connection.py @@ -24,9 +24,9 @@ def test_load_json_oauthconnection(): assert instance is not None assert instance.kind == "oauth" assert instance.endpoint == "https://api.example.com" - assert instance.clientId == "your-client-id" - assert instance.clientSecret == "your-client-secret" - assert instance.tokenUrl == "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token" + assert instance.client_id == "your-client-id" + assert instance.client_secret == "your-client-secret" + assert instance.token_url == "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token" def test_load_yaml_oauthconnection(): @@ -45,9 +45,9 @@ def test_load_yaml_oauthconnection(): assert instance is not None assert instance.kind == "oauth" assert instance.endpoint == "https://api.example.com" - assert instance.clientId == "your-client-id" - assert instance.clientSecret == "your-client-secret" - assert instance.tokenUrl == "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token" + assert instance.client_id == "your-client-id" + assert instance.client_secret == "your-client-secret" + assert instance.token_url == "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token" def test_roundtrip_json_oauthconnection(): """Test that load -> save -> load produces equivalent data.""" @@ -70,9 +70,9 @@ def test_roundtrip_json_oauthconnection(): assert reloaded is not None assert reloaded.kind == "oauth" assert reloaded.endpoint == "https://api.example.com" - assert reloaded.clientId == "your-client-id" - assert reloaded.clientSecret == "your-client-secret" - assert reloaded.tokenUrl == "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token" + assert reloaded.client_id == "your-client-id" + assert reloaded.client_secret == "your-client-secret" + assert reloaded.token_url == "https://login.microsoftonline.com/{tenant}/oauth2/v2.0/token" def test_to_json_oauthconnection(): """Test that to_json produces valid JSON.""" diff --git a/runtime/python/prompty/tests/model/test_prompty.py b/runtime/python/prompty/tests/model/test_prompty.py index 5ad7d612..67e903c6 100644 --- a/runtime/python/prompty/tests/model/test_prompty.py +++ b/runtime/python/prompty/tests/model/test_prompty.py @@ -78,7 +78,7 @@ def test_load_json_prompty(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -165,7 +165,7 @@ def test_load_yaml_prompty(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -254,7 +254,7 @@ def test_roundtrip_json_prompty(): reloaded = Prompty.load(saved_data) assert reloaded is not None assert reloaded.name == "basic-prompt" - assert reloaded.displayName == "Basic Prompt" + assert reloaded.display_name == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert reloaded.instructions == """system: You are an AI assistant who helps people find information. @@ -491,7 +491,7 @@ def test_load_json_prompty_1(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -578,7 +578,7 @@ def test_load_yaml_prompty_1(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -666,7 +666,7 @@ def test_roundtrip_json_prompty_1(): reloaded = Prompty.load(saved_data) assert reloaded is not None assert reloaded.name == "basic-prompt" - assert reloaded.displayName == "Basic Prompt" + assert reloaded.display_name == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert reloaded.instructions == """system: You are an AI assistant who helps people find information. @@ -903,7 +903,7 @@ def test_load_json_prompty_2(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -990,7 +990,7 @@ def test_load_yaml_prompty_2(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -1080,7 +1080,7 @@ def test_roundtrip_json_prompty_2(): reloaded = Prompty.load(saved_data) assert reloaded is not None assert reloaded.name == "basic-prompt" - assert reloaded.displayName == "Basic Prompt" + assert reloaded.display_name == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert reloaded.instructions == """system: You are an AI assistant who helps people find information. @@ -1320,7 +1320,7 @@ def test_load_json_prompty_3(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -1407,7 +1407,7 @@ def test_load_yaml_prompty_3(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -1496,7 +1496,7 @@ def test_roundtrip_json_prompty_3(): reloaded = Prompty.load(saved_data) assert reloaded is not None assert reloaded.name == "basic-prompt" - assert reloaded.displayName == "Basic Prompt" + assert reloaded.display_name == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert reloaded.instructions == """system: You are an AI assistant who helps people find information. @@ -1737,7 +1737,7 @@ def test_load_json_prompty_4(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -1824,7 +1824,7 @@ def test_load_yaml_prompty_4(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -1916,7 +1916,7 @@ def test_roundtrip_json_prompty_4(): reloaded = Prompty.load(saved_data) assert reloaded is not None assert reloaded.name == "basic-prompt" - assert reloaded.displayName == "Basic Prompt" + assert reloaded.display_name == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert reloaded.instructions == """system: You are an AI assistant who helps people find information. @@ -2162,7 +2162,7 @@ def test_load_json_prompty_5(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -2249,7 +2249,7 @@ def test_load_yaml_prompty_5(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -2340,7 +2340,7 @@ def test_roundtrip_json_prompty_5(): reloaded = Prompty.load(saved_data) assert reloaded is not None assert reloaded.name == "basic-prompt" - assert reloaded.displayName == "Basic Prompt" + assert reloaded.display_name == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert reloaded.instructions == """system: You are an AI assistant who helps people find information. @@ -2586,7 +2586,7 @@ def test_load_json_prompty_6(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -2673,7 +2673,7 @@ def test_load_yaml_prompty_6(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -2766,7 +2766,7 @@ def test_roundtrip_json_prompty_6(): reloaded = Prompty.load(saved_data) assert reloaded is not None assert reloaded.name == "basic-prompt" - assert reloaded.displayName == "Basic Prompt" + assert reloaded.display_name == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert reloaded.instructions == """system: You are an AI assistant who helps people find information. @@ -3015,7 +3015,7 @@ def test_load_json_prompty_7(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -3102,7 +3102,7 @@ def test_load_yaml_prompty_7(): instance = Prompty.load(data) assert instance is not None assert instance.name == "basic-prompt" - assert instance.displayName == "Basic Prompt" + assert instance.display_name == "Basic Prompt" assert instance.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert instance.instructions == """system: You are an AI assistant who helps people find information. @@ -3194,7 +3194,7 @@ def test_roundtrip_json_prompty_7(): reloaded = Prompty.load(saved_data) assert reloaded is not None assert reloaded.name == "basic-prompt" - assert reloaded.displayName == "Basic Prompt" + assert reloaded.display_name == "Basic Prompt" assert reloaded.description == "A basic prompt that uses the GPT-3 chat API to answer questions" assert reloaded.instructions == """system: You are an AI assistant who helps people find information. diff --git a/runtime/python/prompty/tests/model/test_prompty_tool.py b/runtime/python/prompty/tests/model/test_prompty_tool.py index 82542846..50d31676 100644 --- a/runtime/python/prompty/tests/model/test_prompty_tool.py +++ b/runtime/python/prompty/tests/model/test_prompty_tool.py @@ -10,7 +10,8 @@ def test_load_json_promptytool(): json_data = r''' { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } ''' data = json.loads(json_data, strict=False) @@ -18,12 +19,14 @@ def test_load_json_promptytool(): assert instance is not None assert instance.kind == "prompty" assert instance.path == "./summarize.prompty" + assert instance.mode == "single" def test_load_yaml_promptytool(): yaml_data = r''' kind: prompty path: ./summarize.prompty + mode: single ''' data = yaml.load(yaml_data, Loader=yaml.FullLoader) @@ -31,13 +34,15 @@ def test_load_yaml_promptytool(): assert instance is not None assert instance.kind == "prompty" assert instance.path == "./summarize.prompty" + assert instance.mode == "single" def test_roundtrip_json_promptytool(): """Test that load -> save -> load produces equivalent data.""" json_data = r''' { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } ''' original_data = json.loads(json_data, strict=False) @@ -47,13 +52,15 @@ def test_roundtrip_json_promptytool(): assert reloaded is not None assert reloaded.kind == "prompty" assert reloaded.path == "./summarize.prompty" + assert reloaded.mode == "single" def test_to_json_promptytool(): """Test that to_json produces valid JSON.""" json_data = r''' { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } ''' data = json.loads(json_data, strict=False) @@ -68,7 +75,8 @@ def test_to_yaml_promptytool(): json_data = r''' { "kind": "prompty", - "path": "./summarize.prompty" + "path": "./summarize.prompty", + "mode": "single" } ''' data = json.loads(json_data, strict=False) diff --git a/runtime/python/prompty/tests/test_spec_vectors.py b/runtime/python/prompty/tests/test_spec_vectors.py index 99f62fb8..1972fba3 100644 --- a/runtime/python/prompty/tests/test_spec_vectors.py +++ b/runtime/python/prompty/tests/test_spec_vectors.py @@ -999,8 +999,12 @@ def _compare_process_result(name: str, result: Any, exp_result: Any) -> None: _EXTENSION_KEYS = {"on_event", "cancel", "context_budget", "guardrails", "steering", "parallel_tool_calls"} +# Split vectors: core (no extension keys) and extension (has extension keys) +_CORE_AGENT_VECTORS = [v for v in AGENT_VECTORS if not (_EXTENSION_KEYS & set(v.get("input", {}).keys()))] +_CORE_AGENT_IDS = [v["name"] for v in _CORE_AGENT_VECTORS] -@pytest.mark.parametrize("vec", AGENT_VECTORS, ids=AGENT_IDS) + +@pytest.mark.parametrize("vec", _CORE_AGENT_VECTORS, ids=_CORE_AGENT_IDS) def test_agent_vector(vec: dict): """Test agent vectors via the REAL turn() pipeline. @@ -1008,6 +1012,9 @@ def test_agent_vector(vec: dict): vector sequence, then calls the production turn(). This validates the full agent loop including binding injection, tool result message construction, and iteration control. + + Extension vectors (on_event, cancel, guardrails, etc.) are tested + separately in test_agent_extension_vector. """ from unittest.mock import patch @@ -1019,10 +1026,6 @@ def test_agent_vector(vec: dict): sequence = vec["sequence"] expected = vec["expected"] - # Skip extension vectors — tested in test_agent_extension_vector - if _EXTENSION_KEYS & set(inp.keys()): - pytest.skip("Extension vector — tested in test_agent_extension_vector") - # -- Build the Prompty agent from vector data -- tools_list = [_build_function_tool(t) for t in inp.get("tools", [])] agent = Prompty( diff --git a/runtime/rust/prompty/src/model/tool.rs b/runtime/rust/prompty/src/model/tool.rs index e00cadf7..7e1122f9 100644 --- a/runtime/rust/prompty/src/model/tool.rs +++ b/runtime/rust/prompty/src/model/tool.rs @@ -45,6 +45,8 @@ pub enum ToolKind { Prompty { /// Path to the child .prompty file, relative to the parent path: String, + /// Execution mode — 'single' for single-shot invoke (default) or 'agentic' for sub-agent turn + mode: Option, }, /// Wildcard / catch-all variant for unrecognized `kind` values. Custom { @@ -121,6 +123,7 @@ impl Tool { }, "prompty" => ToolKind::Prompty { path: value.get("path").and_then(|v| v.as_str()).unwrap_or_default().to_string(), + mode: value.get("mode").and_then(|v| v.as_str()).map(|s| s.to_string()), }, _ => ToolKind::Custom { connection: value.get("connection").cloned().unwrap_or(serde_json::Value::Null), @@ -202,9 +205,12 @@ impl Tool { result.insert("specification".to_string(), serde_json::Value::String(specification.clone())); } } - ToolKind::Prompty { path, .. } => { + ToolKind::Prompty { path, mode, .. } => { if !path.is_empty() { result.insert("path".to_string(), serde_json::Value::String(path.clone())); + } + if let Some(val) = mode { + result.insert("mode".to_string(), serde_json::Value::String(val.clone())); } } ToolKind::Custom { connection, options, kind_name: _, .. } => { diff --git a/runtime/rust/prompty/src/model/tool_call.rs b/runtime/rust/prompty/src/model/tool_call.rs index 690c6419..f5cdb849 100644 --- a/runtime/rust/prompty/src/model/tool_call.rs +++ b/runtime/rust/prompty/src/model/tool_call.rs @@ -7,7 +7,7 @@ use super::context::{LoadContext, SaveContext}; /// A tool call requested by the LLM. Contains the function name and serialized arguments that should be dispatched to the appropriate tool handler. -#[derive(Debug, Clone, Default, serde::Serialize, serde::Deserialize)] +#[derive(Debug, Clone, Default)] pub struct ToolCall { /// The unique identifier of the tool call pub id: String, diff --git a/runtime/typescript/packages/core/src/model/tool.ts b/runtime/typescript/packages/core/src/model/tool.ts index 8ed5de02..f7727208 100644 --- a/runtime/typescript/packages/core/src/model/tool.ts +++ b/runtime/typescript/packages/core/src/model/tool.ts @@ -1047,11 +1047,9 @@ export class OpenApiTool extends Tool { /** * A tool that references another .prompty file to be invoked as a tool. * - * PromptyTool is always single-shot — the child prompty is loaded, rendered, - * and executed with a single LLM call (invoke). It does NOT run an agent loop. - * - * Applications that need agentic sub-agent delegation should register - * `kind: function` tools that internally call `turn()` with their own TurnOptions. + * In `single` mode (default), the child prompty is loaded, rendered, and + * executed with a single LLM call (invoke). In `agentic` mode, the child + * runs as a sub-agent via `turn()` with its own tool-calling loop. * */ export class PromptyTool extends Tool { @@ -1070,6 +1068,11 @@ export class PromptyTool extends Tool { */ path: string = ""; + /** + * Execution mode — 'single' for single-shot invoke (default) or 'agentic' for sub-agent turn + */ + mode?: string | undefined; + /** * Initializes a new instance of PromptyTool. */ @@ -1079,6 +1082,10 @@ export class PromptyTool extends Tool { this.kind = init?.kind ?? "prompty"; this.path = init?.path ?? ""; + + if (init?.mode !== undefined) { + this.mode = init.mode; + } } //#region Load Methods @@ -1108,6 +1115,10 @@ export class PromptyTool extends Tool { instance.path = String(data["path"]); } + if (data["mode"] !== undefined && data["mode"] !== null) { + instance.mode = String(data["mode"]); + } + if (context) { return context.processOutput(instance) as PromptyTool; } @@ -1137,6 +1148,10 @@ export class PromptyTool extends Tool { result["path"] = obj.path; } + if (obj.mode !== undefined && obj.mode !== null) { + result["mode"] = obj.mode; + } + return result; } diff --git a/runtime/typescript/packages/core/tests/model/prompty-tool.test.ts b/runtime/typescript/packages/core/tests/model/prompty-tool.test.ts index caf9b068..70b90509 100644 --- a/runtime/typescript/packages/core/tests/model/prompty-tool.test.ts +++ b/runtime/typescript/packages/core/tests/model/prompty-tool.test.ts @@ -18,17 +18,19 @@ describe("PromptyTool", () => { describe("JSON serialization", () => { it("should load from JSON - example 1", () => { - const json = `{\n "kind": "prompty",\n "path": "./summarize.prompty"\n}`; + const json = `{\n "kind": "prompty",\n "path": "./summarize.prompty",\n "mode": "single"\n}`; const instance = PromptyTool.fromJson(json); expect(instance).toBeDefined(); expect(instance.kind).toEqual("prompty"); expect(instance.path).toEqual("./summarize.prompty"); + + expect(instance.mode).toEqual("single"); }); it("should round-trip JSON - example 1", () => { - const json = `{\n "kind": "prompty",\n "path": "./summarize.prompty"\n}`; + const json = `{\n "kind": "prompty",\n "path": "./summarize.prompty",\n "mode": "single"\n}`; const instance = PromptyTool.fromJson(json); const output = instance.toJson(); const reloaded = PromptyTool.fromJson(output); @@ -36,22 +38,26 @@ describe("PromptyTool", () => { expect(reloaded.kind).toEqual(instance.kind); expect(reloaded.path).toEqual(instance.path); + + expect(reloaded.mode).toEqual(instance.mode); }); }); describe("YAML serialization", () => { it("should load from YAML - example 1", () => { - const yaml = `kind: prompty\npath: ./summarize.prompty\n`; + const yaml = `kind: prompty\npath: ./summarize.prompty\nmode: single\n`; const instance = PromptyTool.fromYaml(yaml); expect(instance).toBeDefined(); expect(instance.kind).toEqual("prompty"); expect(instance.path).toEqual("./summarize.prompty"); + + expect(instance.mode).toEqual("single"); }); it("should round-trip YAML - example 1", () => { - const yaml = `kind: prompty\npath: ./summarize.prompty\n`; + const yaml = `kind: prompty\npath: ./summarize.prompty\nmode: single\n`; const instance = PromptyTool.fromYaml(yaml); const output = instance.toYaml(); const reloaded = PromptyTool.fromYaml(output); @@ -59,6 +65,8 @@ describe("PromptyTool", () => { expect(reloaded.kind).toEqual(instance.kind); expect(reloaded.path).toEqual(instance.path); + + expect(reloaded.mode).toEqual(instance.mode); }); }); diff --git a/schema/emitter/src/templates/python/_macros.njk b/schema/emitter/src/templates/python/_macros.njk index 55107734..b7200eb2 100644 --- a/schema/emitter/src/templates/python/_macros.njk +++ b/schema/emitter/src/templates/python/_macros.njk @@ -130,11 +130,11 @@ list[{{ baseType }}] #} {% macro setInstance(prop, varName, dictName, parentTypeName) %} {%- if prop.isScalar or prop.isDict -%} -{{ varName }}.{{ prop.name }} = {{ dictName }}["{{ prop.name }}"] +{{ varName }}.{{ prop.name | snakeCase }} = {{ dictName }}["{{ prop.name }}"] {%- elif prop.isCollection -%} -{{ varName }}.{{ prop.name }} = {{ parentTypeName }}.load_{{ prop.name }}({{ dictName }}["{{ prop.name }}"], context) +{{ varName }}.{{ prop.name | snakeCase }} = {{ parentTypeName }}.load_{{ prop.name | snakeCase }}({{ dictName }}["{{ prop.name }}"], context) {%- else -%} -{{ varName }}.{{ prop.name }} = {{ prop.typeName.name }}.load({{ dictName }}["{{ prop.name }}"], context) +{{ varName }}.{{ prop.name | snakeCase }} = {{ prop.typeName.name }}.load({{ dictName }}["{{ prop.name }}"], context) {%- endif -%} {% endmacro %} @@ -159,11 +159,11 @@ list[{{ baseType }}] #} {% macro saveProperty(prop, varName, dictName, parentTypeName) %} {%- if prop.isScalar or prop.isDict -%} -{{ dictName }}["{{ prop.name }}"] = {{ varName }}.{{ prop.name }} +{{ dictName }}["{{ prop.name }}"] = {{ varName }}.{{ prop.name | snakeCase }} {%- elif prop.isCollection -%} -{{ dictName }}["{{ prop.name }}"] = {{ parentTypeName }}.save_{{ prop.name }}({{ varName }}.{{ prop.name }}, context) +{{ dictName }}["{{ prop.name }}"] = {{ parentTypeName }}.save_{{ prop.name | snakeCase }}({{ varName }}.{{ prop.name | snakeCase }}, context) {%- else -%} -{{ dictName }}["{{ prop.name }}"] = {{ varName }}.{{ prop.name }}.save(context) +{{ dictName }}["{{ prop.name }}"] = {{ varName }}.{{ prop.name | snakeCase }}.save(context) {%- endif -%} {% endmacro %} @@ -207,7 +207,7 @@ list[{{ baseType }}] Attributes ---------- {%- for prop in properties %} - {{ prop.name }} : {{ pythonType(prop, typeMapper) }} + {{ prop.name | snakeCase }} : {{ pythonType(prop, typeMapper) }} {{ prop.description }} {%- endfor %} {%- endif %} diff --git a/schema/emitter/src/templates/python/file.py.njk b/schema/emitter/src/templates/python/file.py.njk index 4f9d5132..0e146e6b 100644 --- a/schema/emitter/src/templates/python/file.py.njk +++ b/schema/emitter/src/templates/python/file.py.njk @@ -41,14 +41,14 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % Attributes ---------- {%- for prop in node.properties %} - {{ prop.name }} : {{ py.pythonType(prop, typeMapper) }} + {{ prop.name | snakeCase }} : {{ py.pythonType(prop, typeMapper) }} {{ prop.description }} {%- endfor %} """ _shorthand_property: ClassVar[Optional[str]] = {% if classCtx.shorthandProperty %}"{{ classCtx.shorthandProperty }}"{% else %}None{% endif %} {% for prop in node.properties %} - {{ prop.name }}: {{ py.pythonType(prop, typeMapper) }}{{ py.defaultValue(prop, typeMapper) }} + {{ prop.name | snakeCase }}: {{ py.pythonType(prop, typeMapper) }}{{ py.defaultValue(prop, typeMapper) }} {%- endfor %} @staticmethod @@ -75,7 +75,7 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % raise ValueError(f"Invalid data for {{ node.typeName.name }}: {data}") {% if polymorphicTypes %} # load polymorphic {{ node.typeName.name }} instance - instance = {{ node.typeName.name }}.load_{{ node.discriminator }}(data, context) + instance = {{ node.typeName.name }}.load_{{ node.discriminator | snakeCase }}(data, context) {% else %} # create new instance instance = {{ node.typeName.name }}() @@ -90,7 +90,7 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % {% for collection in collectionTypes %} @staticmethod - def load_{{ collection.prop.name }}(data: dict | list, context: Optional[LoadContext]) -> list[{{ collection.prop.typeName.name }}]: + def load_{{ collection.prop.name | snakeCase }}(data: dict | list, context: Optional[LoadContext]) -> list[{{ collection.prop.typeName.name }}]: if isinstance(data, dict): # convert simple named {{ collection.prop.name }} to list of {{ collection.prop.typeName.name }} result = [] @@ -105,7 +105,7 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % return [{{ collection.prop.typeName.name }}.load(item, context) for item in data] @staticmethod - def save_{{ collection.prop.name }}(items: list[{{ collection.prop.typeName.name }}], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: + def save_{{ collection.prop.name | snakeCase }}(items: list[{{ collection.prop.typeName.name }}], context: Optional[SaveContext]) -> dict[str, Any] | list[dict[str, Any]]: if context is None: context = SaveContext() {% if collection.hasNameProperty %} @@ -140,7 +140,7 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % {% if polymorphicTypes %} @staticmethod - def load_{{ node.discriminator }}(data: dict, context: Optional[LoadContext]) -> "{{ node.typeName.name }}": + def load_{{ node.discriminator | snakeCase }}(data: dict, context: Optional[LoadContext]) -> "{{ node.typeName.name }}": # load polymorphic {{ node.typeName.name }} instance if data is not None and "{{ node.discriminator }}" in data: discriminator_value = str(data["{{ node.discriminator }}"]).lower() @@ -189,7 +189,7 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % result: dict[str, Any] = {} {%- endif %} {% for prop in node.properties %} - if obj.{{ prop.name }} is not None: + if obj.{{ prop.name | snakeCase }} is not None: {{ py.saveProperty(prop, "obj", "result", node.typeName.name) }} {%- endfor %} {% if not node.base %} @@ -230,9 +230,9 @@ class {{ node.typeName.name }}{% if node.base %}({{ node.base.name }}){% endif % instance = cls() {%- for prop in node.properties %} {%- if factory.sets[prop.name] is defined %} - instance.{{ prop.name }} = {{ py.factoryFieldValue(prop, factory.sets[prop.name]) }} + instance.{{ prop.name | snakeCase }} = {{ py.factoryFieldValue(prop, factory.sets[prop.name]) }} {%- elif prop.name in factory.params %} - instance.{{ prop.name }} = {{ prop.name | snakeCase }} + instance.{{ prop.name | snakeCase }} = {{ prop.name | snakeCase }} {%- endif %} {%- endfor %} return instance diff --git a/schema/emitter/src/test-context.ts b/schema/emitter/src/test-context.ts index 4943f610..5d9bfcfa 100644 --- a/schema/emitter/src/test-context.ts +++ b/schema/emitter/src/test-context.ts @@ -6,7 +6,7 @@ */ import { TypeNode, PropertyValidation, TestExample, AlternateTest, BaseTestContext } from "./ast.js"; -import { getCombinations, scalarValue } from "./utilities.js"; +import { getCombinations, scalarValue, toSnakeCase } from "./utilities.js"; import * as YAML from "yaml"; /** @@ -228,7 +228,7 @@ export const csharpTestOptions: TestContextOptions = { * Python test context options. */ export const pythonTestOptions: TestContextOptions = { - renderKey: (key: string) => key, // snake_case - already correct from TypeSpec + renderKey: (key: string) => toSnakeCase(key), // camelCase from TypeSpec → snake_case for Python renderBoolean: (val: boolean) => val ? "True" : "False", escapeString: (str: string) => str.replace(/\\/g, "\\\\").replace(/"/g, '\\"'), getDelimiter: (str: string) => str.includes('\n') ? '"""' : '"', diff --git a/schema/model/tools/prompty.tsp b/schema/model/tools/prompty.tsp index 5cf1720d..75da9325 100644 --- a/schema/model/tools/prompty.tsp +++ b/schema/model/tools/prompty.tsp @@ -4,13 +4,21 @@ import "../tools.tsp"; namespace Prompty; /** - * A tool that references another .prompty file to be invoked as a tool. + * Execution mode for a PromptyTool. * - * PromptyTool is always single-shot — the child prompty is loaded, rendered, - * and executed with a single LLM call (invoke). It does NOT run an agent loop. + * - `single`: The child prompty is loaded, rendered, and executed with a single + * LLM call (invoke). No agent loop. + * - `agentic`: The child prompty runs as a sub-agent via `turn()`, with its own + * tool-calling loop, streaming, and cancellation support. + */ +alias PromptyToolMode = "single" | "agentic"; + +/** + * A tool that references another .prompty file to be invoked as a tool. * - * Applications that need agentic sub-agent delegation should register - * `kind: function` tools that internally call `turn()` with their own TurnOptions. + * In `single` mode (default), the child prompty is loaded, rendered, and + * executed with a single LLM call (invoke). In `agentic` mode, the child + * runs as a sub-agent via `turn()` with its own tool-calling loop. */ model PromptyTool extends Tool { @doc("The kind identifier for prompty tools") @@ -20,4 +28,8 @@ model PromptyTool extends Tool { @doc("Path to the child .prompty file, relative to the parent") @sample(#{ path: "./summarize.prompty" }) path: string; + + @doc("Execution mode — 'single' for single-shot invoke (default) or 'agentic' for sub-agent turn") + @sample(#{ mode: "single" }) + mode?: PromptyToolMode = "single"; } diff --git a/vscode/prompty/schemas/PromptyTool.yaml b/vscode/prompty/schemas/PromptyTool.yaml index cf5ee480..4604702e 100644 --- a/vscode/prompty/schemas/PromptyTool.yaml +++ b/vscode/prompty/schemas/PromptyTool.yaml @@ -9,6 +9,14 @@ properties: path: type: string description: Path to the child .prompty file, relative to the parent + mode: + anyOf: + - type: string + const: single + - type: string + const: agentic + default: single + description: Execution mode — 'single' for single-shot invoke (default) or 'agentic' for sub-agent turn required: - kind - path @@ -17,8 +25,6 @@ allOf: description: |- A tool that references another .prompty file to be invoked as a tool. - PromptyTool is always single-shot — the child prompty is loaded, rendered, - and executed with a single LLM call (invoke). It does NOT run an agent loop. - - Applications that need agentic sub-agent delegation should register - `kind: function` tools that internally call `turn()` with their own TurnOptions. + In `single` mode (default), the child prompty is loaded, rendered, and + executed with a single LLM call (invoke). In `agentic` mode, the child + runs as a sub-agent via `turn()` with its own tool-calling loop. diff --git a/vscode/prompty/schemas/PromptyToolMode.yaml b/vscode/prompty/schemas/PromptyToolMode.yaml new file mode 100644 index 00000000..9f13ddd9 --- /dev/null +++ b/vscode/prompty/schemas/PromptyToolMode.yaml @@ -0,0 +1,13 @@ +$schema: https://json-schema.org/draft/2020-12/schema +$id: PromptyToolMode.yaml +type: string +enum: + - single + - agentic +description: |- + Execution mode for a PromptyTool. + + - `single`: The child prompty is loaded, rendered, and executed with a single + LLM call (invoke). No agent loop. + - `agentic`: The child prompty runs as a sub-agent via `turn()`, with its own + tool-calling loop, streaming, and cancellation support. diff --git a/web/src/content/docs/reference/PromptyTool.md b/web/src/content/docs/reference/PromptyTool.md index 4e3a6dc4..bac29552 100644 --- a/web/src/content/docs/reference/PromptyTool.md +++ b/web/src/content/docs/reference/PromptyTool.md @@ -6,11 +6,9 @@ slug: "reference/promptytool" A tool that references another .prompty file to be invoked as a tool. -PromptyTool is always single-shot — the child prompty is loaded, rendered, -and executed with a single LLM call (invoke). It does NOT run an agent loop. - -Applications that need agentic sub-agent delegation should register -`kind: function` tools that internally call `turn()` with their own TurnOptions. +In `single` mode (default), the child prompty is loaded, rendered, and +executed with a single LLM call (invoke). In `agentic` mode, the child +runs as a sub-agent via `turn()` with its own tool-calling loop. ## Class Diagram @@ -35,6 +33,7 @@ classDiagram +string kind +string path + +string mode } ``` @@ -43,6 +42,7 @@ classDiagram ```yaml kind: prompty path: ./summarize.prompty +mode: single ``` ## Properties @@ -51,3 +51,4 @@ path: ./summarize.prompty | ---- | ---- | ----------- | | kind | string | The kind identifier for prompty tools | | path | string | Path to the child .prompty file, relative to the parent | +| mode | string | Execution mode — 'single' for single-shot invoke (default) or 'agentic' for sub-agent turn | diff --git a/web/src/content/docs/reference/Tool.md b/web/src/content/docs/reference/Tool.md index b698ecfc..a5eaa4ab 100644 --- a/web/src/content/docs/reference/Tool.md +++ b/web/src/content/docs/reference/Tool.md @@ -55,6 +55,7 @@ classDiagram class PromptyTool { +string kind +string path + +string mode } Tool <|-- PromptyTool class Binding { diff --git a/web/src/content/docs/reference/index.md b/web/src/content/docs/reference/index.md index a4f1dd41..a1e172ff 100644 --- a/web/src/content/docs/reference/index.md +++ b/web/src/content/docs/reference/index.md @@ -154,6 +154,7 @@ classDiagram +string kind +string path + +string mode } class FormatConfig { From d21bda476c1dbb6290843d5e6fd89cc4e4872498 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 16:14:56 -0700 Subject: [PATCH 10/85] fix: Rust types.rs ToolCall test uses emitted to_value() instead of serde The ToolCall struct was swapped to the emitted model type which doesn't derive serde::Serialize. Updated test to use the emitted to_value() method with SaveContext instead of serde_json::to_value(). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- runtime/rust/prompty/src/types.rs | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/runtime/rust/prompty/src/types.rs b/runtime/rust/prompty/src/types.rs index 11ba8969..a8b007b9 100644 --- a/runtime/rust/prompty/src/types.rs +++ b/runtime/rust/prompty/src/types.rs @@ -484,6 +484,7 @@ impl fmt::Debug for PromptyStream { #[cfg(test)] mod tests { use super::*; + use crate::model::context::SaveContext; #[test] fn test_message_text() { @@ -597,7 +598,7 @@ mod tests { name: "get_weather".into(), arguments: r#"{"city":"Seattle"}"#.into(), }; - let json = serde_json::to_value(&tc).unwrap(); + let json = tc.to_value(&Default::default()); assert_eq!(json["id"], "call_abc"); assert_eq!(json["name"], "get_weather"); } From c1fa82e942f5c2e0233d93ae7fc4bd0d44e145d8 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 16:41:48 -0700 Subject: [PATCH 11/85] =?UTF-8?q?perf:=20fix=20to=5Fdict=20MagicMock=20rec?= =?UTF-8?q?ursion=20=E2=80=94=2010min=20tests=20=E2=86=92=2011s?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit to_dict() used hasattr(obj, 'model_dump') to detect Pydantic models, but MagicMock fakes every attribute. This caused recursive model_dump() calls on mocks, each spawning new mocks — ~4s per test. Fix: check hasattr(type(obj), 'model_dump') instead, which only matches real Pydantic classes where model_dump is defined on the class. Result: 989 tests in 10.73s (was ~10 minutes). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- runtime/python/prompty/prompty/tracing/tracer.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/runtime/python/prompty/prompty/tracing/tracer.py b/runtime/python/prompty/prompty/tracing/tracer.py index f58c1a1f..e6f06a41 100644 --- a/runtime/python/prompty/prompty/tracing/tracer.py +++ b/runtime/python/prompty/prompty/tracing/tracer.py @@ -103,8 +103,9 @@ def to_dict(obj: Any) -> Any: return {k: v if isinstance(v, str) else to_dict(v) for k, v in obj.items()} elif isinstance(obj, Path): return str(obj) - elif hasattr(obj, "model_dump"): - # Pydantic models (e.g. OpenAI SDK response objects) + elif hasattr(type(obj), "model_dump") and callable(getattr(type(obj), "model_dump")): + # Pydantic models (e.g. OpenAI SDK response objects). + # Check on *type* not instance to avoid MagicMock (which fakes every attr). try: return to_dict(obj.model_dump()) except Exception: From c4ff72f8543c0887d3a9a846e909e5d8989f8fb1 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 16:53:54 -0700 Subject: [PATCH 12/85] refactor: Python ContentPart/Message now re-exported from generated model MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit core/types.py no longer defines ContentPart, TextPart, ImagePart, FilePart, AudioPart, or Message. Instead it re-exports the generated types from prompty.model and attaches runtime helpers (.text property, .to_text_content() method, metadata default) via monkey-patching. Zero import changes needed at any consumer site — all code that does 'from prompty.core.types import Message' still works identically. 989 tests pass in 10.47s. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- runtime/python/prompty/prompty/core/types.py | 173 +++++++------------ 1 file changed, 59 insertions(+), 114 deletions(-) diff --git a/runtime/python/prompty/prompty/core/types.py b/runtime/python/prompty/prompty/core/types.py index 04c29762..e909f3df 100644 --- a/runtime/python/prompty/prompty/core/types.py +++ b/runtime/python/prompty/prompty/core/types.py @@ -5,14 +5,29 @@ Also provides streaming wrappers (``PromptyStream``, ``AsyncPromptyStream``) that accumulate chunks and flush to the tracer on exhaustion. + +Types ``ContentPart``, ``TextPart``, ``ImagePart``, ``FilePart``, +``AudioPart``, and ``Message`` are re-exported from the generated model +layer (``prompty.model``). Runtime helpers (``.text``, ``.to_text_content()``) +are attached here so every consumer gets them transparently. """ from __future__ import annotations from collections.abc import AsyncIterator, Iterator -from dataclasses import dataclass, field +from dataclasses import dataclass from typing import Any +# --- Re-export generated types (canonical source of truth) ---------------- +from ..model._ContentPart import ( # noqa: F401 + AudioPart, + ContentPart, + FilePart, + ImagePart, + TextPart, +) +from ..model._Message import Message # noqa: F401 + __all__ = [ "AsyncPromptyStream", "ContentPart", @@ -35,109 +50,69 @@ # --------------------------------------------------------------------------- -# Content parts +# Runtime helpers attached to generated types # --------------------------------------------------------------------------- -@dataclass -class ContentPart: - """Base class for typed content within a message. - - Each part has a ``kind`` discriminator and part-specific fields. - """ - - kind: str - - -@dataclass -class TextPart(ContentPart): - """Plain text content.""" - - kind: str = field(default="text", init=False) - value: str = "" - +def _part_to_dict(part: ContentPart) -> dict[str, Any]: + """Convert a ContentPart to a plain dict.""" + if isinstance(part, TextPart): + return {"kind": "text", "value": part.value} + elif isinstance(part, ImagePart): + d: dict[str, Any] = {"kind": "image", "source": part.source} + if part.detail is not None: + d["detail"] = part.detail + if part.media_type is not None: + d["mediaType"] = part.media_type + return d + elif isinstance(part, FilePart): + d = {"kind": "file", "source": part.source} + if part.media_type is not None: + d["mediaType"] = part.media_type + return d + elif isinstance(part, AudioPart): + d = {"kind": "audio", "source": part.source} + if part.media_type is not None: + d["mediaType"] = part.media_type + return d + else: + return {"kind": part.kind} -@dataclass -class ImagePart(ContentPart): - """Image content — URL, data URI, or file path. - Attributes: - source: URL, ``data:`` URI, or file path to the image. - detail: Processing detail level (``"auto"``, ``"low"``, ``"high"``). - media_type: MIME type (e.g. ``"image/png"``). Inferred if omitted. - """ +def _message_text(self: Message) -> str: + """Concatenate all TextPart values.""" + return "".join(p.value for p in self.parts if isinstance(p, TextPart)) - kind: str = field(default="image", init=False) - source: str = "" - detail: str | None = None - media_type: str | None = None +def _message_to_text_content(self: Message) -> str | list[dict[str, Any]]: + """Return plain string if all parts are text, else a parts list.""" + if all(isinstance(p, TextPart) for p in self.parts): + return self.text # type: ignore[return-value] + return [_part_to_dict(p) for p in self.parts] -@dataclass -class FilePart(ContentPart): - """File/document attachment (PDF, etc.). - Attributes: - source: URL or file path. - media_type: MIME type (e.g. ``"application/pdf"``). - """ +# Attach helpers to the generated Message class +Message.text = property(_message_text) # type: ignore[attr-defined] +Message.to_text_content = _message_to_text_content # type: ignore[attr-defined] - kind: str = field(default="file", init=False) - source: str = "" - media_type: str | None = None +# Generated Message defaults metadata to None; runtime code expects a dict. +_orig_message_init = Message.__init__ -@dataclass -class AudioPart(ContentPart): - """Audio content. +def _message_init(self: Message, *args: Any, **kwargs: Any) -> None: + _orig_message_init(self, *args, **kwargs) + if self.metadata is None: + self.metadata = {} - Attributes: - source: URL, ``data:`` URI, or file path. - media_type: MIME type (e.g. ``"audio/wav"``). - """ - kind: str = field(default="audio", init=False) - source: str = "" - media_type: str | None = None +Message.__init__ = _message_init # type: ignore[method-assign] # --------------------------------------------------------------------------- -# Messages +# Thread marker (not generated — runtime-only concept) # --------------------------------------------------------------------------- -@dataclass -class Message: - """A single message in the abstract message array. - - Attributes: - role: One of the recognized roles (system, user, assistant, developer). - parts: Ordered list of content parts. - metadata: Extra key-value pairs from role boundary args - (e.g. ``name``, custom attributes). - """ - - role: str - parts: list[ContentPart] = field(default_factory=list) - metadata: dict[str, Any] = field(default_factory=dict) - - @property - def text(self) -> str: - """Convenience: concatenate all TextPart values.""" - return "".join(p.value for p in self.parts if isinstance(p, TextPart)) - - def to_text_content(self) -> str | list[dict[str, Any]]: - """Return plain string if all parts are text, else a parts list. - - This is useful for simple serialization — callers that only need - the text content can get a ``str``, while multimodal messages - get the full parts array. - """ - if all(isinstance(p, TextPart) for p in self.parts): - return self.text - return [_part_to_dict(p) for p in self.parts] - - @dataclass class ThreadMarker: """Positional marker for rich-kind input insertion. @@ -155,36 +130,6 @@ class ThreadMarker: kind: str = "thread" -# --------------------------------------------------------------------------- -# Helpers -# --------------------------------------------------------------------------- - - -def _part_to_dict(part: ContentPart) -> dict[str, Any]: - """Convert a ContentPart to a plain dict.""" - if isinstance(part, TextPart): - return {"kind": "text", "value": part.value} - elif isinstance(part, ImagePart): - d: dict[str, Any] = {"kind": "image", "source": part.source} - if part.detail is not None: - d["detail"] = part.detail - if part.media_type is not None: - d["mediaType"] = part.media_type - return d - elif isinstance(part, FilePart): - d = {"kind": "file", "source": part.source} - if part.media_type is not None: - d["mediaType"] = part.media_type - return d - elif isinstance(part, AudioPart): - d = {"kind": "audio", "source": part.source} - if part.media_type is not None: - d["mediaType"] = part.media_type - return d - else: - return {"kind": part.kind} - - # --------------------------------------------------------------------------- # Streaming wrappers # --------------------------------------------------------------------------- From b6d854df1568e534ae513afed09a06cc9a1ea45e Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 17:01:14 -0700 Subject: [PATCH 13/85] refactor: C# replace hand-written types with generated Model types MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Remove hand-written ContentPart, TextPart, ImagePart, FilePart, AudioPart, Message from Types.cs and ToolCall from Pipeline.cs — these are now provided by the generated classes in Model/. Key changes: - Make generated Message partial; add MessageHelpers.cs with Text property and ToTextContent() convenience method - Change Message.Metadata to IDictionary with non-null default (matching existing usage patterns) - Change Message.Role default to "user" (was string.Empty) - Fix WireFormat.cs BuildContentParts param: List -> IList - Fix test files using Metadata = new() (interfaces need explicit ctor) - Fix ToolCallConversionTests.cs string literal encoding (curly quotes) - Fix GuardrailResult.cs null check on non-nullable bool (pre-existing) All 836 tests pass (792 succeeded, 44 skipped — missing API keys). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../Model/ToolCallConversionTests.cs | 8 +- .../Prompty.Core.Tests/PipelineTests.cs | 8 +- .../Prompty.Core/Model/GuardrailResult.cs | 5 +- runtime/csharp/Prompty.Core/Model/Message.cs | 6 +- .../Prompty.Core/Model/MessageHelpers.cs | 44 +++++++++ runtime/csharp/Prompty.Core/Pipeline.cs | 10 --- runtime/csharp/Prompty.Core/Types.cs | 90 ------------------- runtime/csharp/Prompty.OpenAI/WireFormat.cs | 2 +- .../Prompty.Providers.Tests/AgentLoopTests.cs | 4 +- .../SpecVectorAgentTests.cs | 4 +- .../WireFormatTests.cs | 4 +- 11 files changed, 63 insertions(+), 122 deletions(-) create mode 100644 runtime/csharp/Prompty.Core/Model/MessageHelpers.cs diff --git a/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs index be0639c8..60f77b9c 100644 --- a/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs +++ b/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs @@ -23,7 +23,7 @@ public void LoadYamlInput() Assert.NotNull(instance); Assert.Equal("call_abc123", instance.Id); Assert.Equal("get_weather", instance.Name); - Assert.Equal("{"city": "Paris"}", instance.Arguments); + Assert.Equal("{\"city\": \"Paris\"}", instance.Arguments); } [Fact] @@ -41,7 +41,7 @@ public void LoadJsonInput() Assert.NotNull(instance); Assert.Equal("call_abc123", instance.Id); Assert.Equal("get_weather", instance.Name); - Assert.Equal("{"city": "Paris"}", instance.Arguments); + Assert.Equal("{\"city\": \"Paris\"}", instance.Arguments); } [Fact] @@ -66,7 +66,7 @@ public void RoundtripJson() Assert.NotNull(reloaded); Assert.Equal("call_abc123", reloaded.Id); Assert.Equal("get_weather", reloaded.Name); - Assert.Equal("{"city": "Paris"}", reloaded.Arguments); + Assert.Equal("{\"city\": \"Paris\"}", reloaded.Arguments); } [Fact] @@ -90,7 +90,7 @@ public void RoundtripYaml() Assert.NotNull(reloaded); Assert.Equal("call_abc123", reloaded.Id); Assert.Equal("get_weather", reloaded.Name); - Assert.Equal("{"city": "Paris"}", reloaded.Arguments); + Assert.Equal("{\"city\": \"Paris\"}", reloaded.Arguments); } [Fact] diff --git a/runtime/csharp/Prompty.Core.Tests/PipelineTests.cs b/runtime/csharp/Prompty.Core.Tests/PipelineTests.cs index 3b90abd4..dd2e8ed8 100644 --- a/runtime/csharp/Prompty.Core.Tests/PipelineTests.cs +++ b/runtime/csharp/Prompty.Core.Tests/PipelineTests.cs @@ -608,10 +608,10 @@ public List FormatToolMessages(object rawResponse, List toolC { var messages = new List { - new() { Role = Roles.Assistant, Parts = [], Metadata = new() { ["tool_calls"] = toolCalls } }, + new() { Role = Roles.Assistant, Parts = [], Metadata = new Dictionary() { ["tool_calls"] = toolCalls } }, }; for (var i = 0; i < toolCalls.Count; i++) - messages.Add(new() { Role = Roles.Tool, Parts = [new TextPart { Value = toolResults[i] }], Metadata = new() { ["tool_call_id"] = toolCalls[i].Id } }); + messages.Add(new() { Role = Roles.Tool, Parts = [new TextPart { Value = toolResults[i] }], Metadata = new Dictionary() { ["tool_call_id"] = toolCalls[i].Id } }); return messages; } } @@ -643,10 +643,10 @@ public List FormatToolMessages(object rawResponse, List toolC { var messages = new List { - new() { Role = Roles.Assistant, Parts = [], Metadata = new() { ["tool_calls"] = toolCalls } }, + new() { Role = Roles.Assistant, Parts = [], Metadata = new Dictionary() { ["tool_calls"] = toolCalls } }, }; for (var i = 0; i < toolCalls.Count; i++) - messages.Add(new() { Role = Roles.Tool, Parts = [new TextPart { Value = toolResults[i] }], Metadata = new() { ["tool_call_id"] = toolCalls[i].Id } }); + messages.Add(new() { Role = Roles.Tool, Parts = [new TextPart { Value = toolResults[i] }], Metadata = new Dictionary() { ["tool_call_id"] = toolCalls[i].Id } }); return messages; } } diff --git a/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs b/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs index 86ea5f51..bb1ee68c 100644 --- a/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs +++ b/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs @@ -108,10 +108,7 @@ public static GuardrailResult Load(Dictionary data, LoadContext var result = new Dictionary(); - if (obj.Allowed is not null) - { - result["allowed"] = obj.Allowed; - } + result["allowed"] = obj.Allowed; if (obj.Reason is not null) { diff --git a/runtime/csharp/Prompty.Core/Model/Message.cs b/runtime/csharp/Prompty.Core/Model/Message.cs index a468de4c..5410c07a 100644 --- a/runtime/csharp/Prompty.Core/Model/Message.cs +++ b/runtime/csharp/Prompty.Core/Model/Message.cs @@ -10,7 +10,7 @@ namespace Prompty.Core; /// A message in a conversation. Messages have a role and a list of content parts /// representing the different modalities of the message content. /// -public class Message +public partial class Message { /// /// The shorthand property name for this type, if any. @@ -29,7 +29,7 @@ public Message() /// /// The role of the message sender /// - public string Role { get; set; } = string.Empty; + public string Role { get; set; } = "user"; /// /// The content parts of the message @@ -39,7 +39,7 @@ public Message() /// /// Optional metadata associated with the message /// - public IDictionary? Metadata { get; set; } + public IDictionary Metadata { get; set; } = new Dictionary(); #region Load Methods diff --git a/runtime/csharp/Prompty.Core/Model/MessageHelpers.cs b/runtime/csharp/Prompty.Core/Model/MessageHelpers.cs new file mode 100644 index 00000000..da9fd04c --- /dev/null +++ b/runtime/csharp/Prompty.Core/Model/MessageHelpers.cs @@ -0,0 +1,44 @@ +// Copyright (c) Microsoft. All rights reserved. + +// --- Runtime helpers (manually maintained) --- +// This file extends the generated Message class with convenience members +// used by the Prompty pipeline and wire-format converters. + +#pragma warning disable IDE0130 +namespace Prompty.Core; +#pragma warning restore IDE0130 + +public partial class Message +{ + /// + /// Concatenated text from all TextParts. + /// + public string Text => string.Join("", Parts.OfType().Select(p => p.Value)); + + /// + /// Returns the content as a simple string if only text parts exist, + /// or as a list of wire-format dictionaries for multimodal content. + /// + public object ToTextContent() + { + if (Parts.All(p => p is TextPart)) + return Text; + + return Parts.Select>(p => p switch + { + TextPart t => new() { ["type"] = "text", ["text"] = t.Value }, + ImagePart i => new() + { + ["type"] = "image_url", + ["image_url"] = new Dictionary + { + ["url"] = i.Source, + ["detail"] = i.Detail ?? "auto", + }, + }, + FilePart f => new() { ["type"] = "file", ["file"] = new Dictionary { ["url"] = f.Source } }, + AudioPart a => new() { ["type"] = "input_audio", ["input_audio"] = new Dictionary { ["url"] = a.Source } }, + _ => new() { ["type"] = p.Kind }, + }).ToList(); + } +} diff --git a/runtime/csharp/Prompty.Core/Pipeline.cs b/runtime/csharp/Prompty.Core/Pipeline.cs index 174bf065..d0724f4e 100644 --- a/runtime/csharp/Prompty.Core/Pipeline.cs +++ b/runtime/csharp/Prompty.Core/Pipeline.cs @@ -792,16 +792,6 @@ internal static List ExpandThreadMarkers( } } -/// -/// Represents a tool call requested by the LLM. -/// -public class ToolCall -{ - public string Id { get; set; } = ""; - public string Name { get; set; } = ""; - public string Arguments { get; set; } = ""; -} - /// /// Result from a processor indicating the LLM wants to call tools. /// Processors return this instead of a plain string when tool_calls are present. diff --git a/runtime/csharp/Prompty.Core/Types.cs b/runtime/csharp/Prompty.Core/Types.cs index 66d87c04..fe133f90 100644 --- a/runtime/csharp/Prompty.Core/Types.cs +++ b/runtime/csharp/Prompty.Core/Types.cs @@ -30,96 +30,6 @@ public static class RichKinds }; } -/// -/// Base class for content parts within a message. -/// -public abstract class ContentPart -{ - public abstract string Kind { get; } -} - -/// -/// Plain text content. -/// -public class TextPart : ContentPart -{ - public override string Kind => "text"; - public string Value { get; set; } = ""; -} - -/// -/// Image content with source URL/base64 and optional detail level. -/// -public class ImagePart : ContentPart -{ - public override string Kind => "image"; - public string Source { get; set; } = ""; - public string? Detail { get; set; } - public string? MediaType { get; set; } -} - -/// -/// File content with source URL/path. -/// -public class FilePart : ContentPart -{ - public override string Kind => "file"; - public string Source { get; set; } = ""; - public string? MediaType { get; set; } -} - -/// -/// Audio content with source URL/base64. -/// -public class AudioPart : ContentPart -{ - public override string Kind => "audio"; - public string Source { get; set; } = ""; - public string? MediaType { get; set; } -} - -/// -/// A message in the LLM conversation with role, content parts, and metadata. -/// -public class Message -{ - public string Role { get; set; } = Roles.User; - public List Parts { get; set; } = []; - public Dictionary Metadata { get; set; } = []; - - /// - /// Concatenated text from all TextParts. - /// - public string Text => string.Join("", Parts.OfType().Select(p => p.Value)); - - /// - /// Returns the content as a simple string if only text parts exist, - /// or as a list of wire-format dictionaries for multimodal content. - /// - public object ToTextContent() - { - if (Parts.All(p => p is TextPart)) - return Text; - - return Parts.Select>(p => p switch - { - TextPart t => new() { ["type"] = "text", ["text"] = t.Value }, - ImagePart i => new() - { - ["type"] = "image_url", - ["image_url"] = new Dictionary - { - ["url"] = i.Source, - ["detail"] = i.Detail ?? "auto", - }, - }, - FilePart f => new() { ["type"] = "file", ["file"] = new Dictionary { ["url"] = f.Source } }, - AudioPart a => new() { ["type"] = "input_audio", ["input_audio"] = new Dictionary { ["url"] = a.Source } }, - _ => new() { ["type"] = p.Kind }, - }).ToList(); - } -} - /// /// Placeholder inserted by renderers to mark where thread/rich content should be expanded. /// diff --git a/runtime/csharp/Prompty.OpenAI/WireFormat.cs b/runtime/csharp/Prompty.OpenAI/WireFormat.cs index bef94fb1..a0047995 100644 --- a/runtime/csharp/Prompty.OpenAI/WireFormat.cs +++ b/runtime/csharp/Prompty.OpenAI/WireFormat.cs @@ -43,7 +43,7 @@ public static ChatMessage MessageToWire(Message msg) }; } - private static IEnumerable BuildContentParts(List parts) + private static IEnumerable BuildContentParts(IList parts) { foreach (var part in parts) { diff --git a/runtime/csharp/Prompty.Providers.Tests/AgentLoopTests.cs b/runtime/csharp/Prompty.Providers.Tests/AgentLoopTests.cs index 4d3fbb75..12bfbc59 100644 --- a/runtime/csharp/Prompty.Providers.Tests/AgentLoopTests.cs +++ b/runtime/csharp/Prompty.Providers.Tests/AgentLoopTests.cs @@ -327,10 +327,10 @@ private static List DefaultFormatToolMessages(List toolCalls, { var messages = new List { - new() { Role = Roles.Assistant, Parts = string.IsNullOrEmpty(textContent) ? [] : [new TextPart { Value = textContent }], Metadata = new() { ["tool_calls"] = toolCalls } }, + new() { Role = Roles.Assistant, Parts = string.IsNullOrEmpty(textContent) ? [] : [new TextPart { Value = textContent }], Metadata = new Dictionary() { ["tool_calls"] = toolCalls } }, }; for (var i = 0; i < toolCalls.Count; i++) - messages.Add(new() { Role = Roles.Tool, Parts = [new TextPart { Value = toolResults[i] }], Metadata = new() { ["tool_call_id"] = toolCalls[i].Id, ["name"] = toolCalls[i].Name } }); + messages.Add(new() { Role = Roles.Tool, Parts = [new TextPart { Value = toolResults[i] }], Metadata = new Dictionary() { ["tool_call_id"] = toolCalls[i].Id, ["name"] = toolCalls[i].Name } }); return messages; } } diff --git a/runtime/csharp/Prompty.Providers.Tests/SpecVectorAgentTests.cs b/runtime/csharp/Prompty.Providers.Tests/SpecVectorAgentTests.cs index bea6047c..aaafb70b 100644 --- a/runtime/csharp/Prompty.Providers.Tests/SpecVectorAgentTests.cs +++ b/runtime/csharp/Prompty.Providers.Tests/SpecVectorAgentTests.cs @@ -722,10 +722,10 @@ public List FormatToolMessages(object rawResponse, List toolC { var messages = new List { - new() { Role = Roles.Assistant, Parts = [], Metadata = new() { ["tool_calls"] = toolCalls } }, + new() { Role = Roles.Assistant, Parts = [], Metadata = new Dictionary() { ["tool_calls"] = toolCalls } }, }; for (var i = 0; i < toolCalls.Count; i++) - messages.Add(new() { Role = Roles.Tool, Parts = [new TextPart { Value = toolResults[i] }], Metadata = new() { ["tool_call_id"] = toolCalls[i].Id, ["name"] = toolCalls[i].Name } }); + messages.Add(new() { Role = Roles.Tool, Parts = [new TextPart { Value = toolResults[i] }], Metadata = new Dictionary() { ["tool_call_id"] = toolCalls[i].Id, ["name"] = toolCalls[i].Name } }); return messages; } } diff --git a/runtime/csharp/Prompty.Providers.Tests/WireFormatTests.cs b/runtime/csharp/Prompty.Providers.Tests/WireFormatTests.cs index a84f67f2..74eafa7c 100644 --- a/runtime/csharp/Prompty.Providers.Tests/WireFormatTests.cs +++ b/runtime/csharp/Prompty.Providers.Tests/WireFormatTests.cs @@ -94,7 +94,7 @@ public void MessageToWire_AssistantWithToolCalls_PreservesToolCalls() { Role = Roles.Assistant, Parts = [new TextPart { Value = "" }], - Metadata = new() + Metadata = new Dictionary() { ["tool_calls"] = new List { @@ -116,7 +116,7 @@ public void MessageToWire_ToolMessage_ReturnsToolChatMessage() { Role = Roles.Tool, Parts = [new TextPart { Value = "72°F and sunny" }], - Metadata = new() { ["tool_call_id"] = "call_1" }, + Metadata = new Dictionary() { ["tool_call_id"] = "call_1" }, }; var result = WireFormat.MessageToWire(msg); From 86a80018dc67af5758667cb3aeded7164dbaa75d Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 17:17:27 -0700 Subject: [PATCH 14/85] Update pipeline.test.ts to use new Message({...}) constructor Migrate all Message instantiations from positional args (role, parts, metadata) to the new generated class constructor taking a Partial init object. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../packages/core/tests/pipeline.test.ts | 30 +++++++++++-------- 1 file changed, 18 insertions(+), 12 deletions(-) diff --git a/runtime/typescript/packages/core/tests/pipeline.test.ts b/runtime/typescript/packages/core/tests/pipeline.test.ts index 0164b8cf..6210af80 100644 --- a/runtime/typescript/packages/core/tests/pipeline.test.ts +++ b/runtime/typescript/packages/core/tests/pipeline.test.ts @@ -37,7 +37,7 @@ class MockRenderer implements Renderer { class MockParser implements Parser { async parse(_agent: Prompty, rendered: string): Promise { - return [new Message("user", [text(rendered)])]; + return [new Message({ role: "user", parts: [text(rendered)] })]; } } @@ -63,15 +63,21 @@ class MockExecutor implements Executor { function: { name: tc.name, arguments: tc.arguments }, })); messages.push( - new Message("assistant", textContent ? [text(textContent)] : [], { - tool_calls: rawToolCalls, + new Message({ + role: "assistant", + parts: textContent ? [text(textContent)] : [], + metadata: { tool_calls: rawToolCalls }, }), ); for (let i = 0; i < toolCalls.length; i++) { messages.push( - new Message("tool", [text(toolResults[i])], { - tool_call_id: toolCalls[i].id, - name: toolCalls[i].name, + new Message({ + role: "tool", + parts: [text(toolResults[i])], + metadata: { + tool_call_id: toolCalls[i].id, + name: toolCalls[i].name, + }, }), ); } @@ -174,7 +180,7 @@ describe("Pipeline", () => { const agent = makeAgent(); (agent as any).model = { provider: "mock" }; - const messages = [new Message("user", [text("Hello")])]; + const messages = [new Message({ role: "user", parts: [text("Hello")] })]; const result = await run(agent, messages); expect(result).toBe("Mock response"); }); @@ -183,7 +189,7 @@ describe("Pipeline", () => { const agent = makeAgent(); (agent as any).model = { provider: "mock" }; - const messages = [new Message("user", [text("Hello")])]; + const messages = [new Message({ role: "user", parts: [text("Hello")] })]; const result = await run(agent, messages, { raw: true }) as Record; expect(result.choices).toBeDefined(); }); @@ -235,9 +241,9 @@ describe("Pipeline", () => { const rawToolCalls = toolCalls.map((tc) => ({ id: tc.id, type: "function", function: { name: tc.name, arguments: tc.arguments }, })); - messages.push(new Message("assistant", textContent ? [text(textContent)] : [], { tool_calls: rawToolCalls })); + messages.push(new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls } })); for (let i = 0; i < toolCalls.length; i++) { - messages.push(new Message("tool", [text(toolResults[i])], { tool_call_id: toolCalls[i].id, name: toolCalls[i].name })); + messages.push(new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name } })); } return messages; } @@ -288,9 +294,9 @@ describe("Pipeline", () => { const rawToolCalls = toolCalls.map((tc) => ({ id: tc.id, type: "function", function: { name: tc.name, arguments: tc.arguments }, })); - messages.push(new Message("assistant", textContent ? [text(textContent)] : [], { tool_calls: rawToolCalls })); + messages.push(new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls } })); for (let i = 0; i < toolCalls.length; i++) { - messages.push(new Message("tool", [text(toolResults[i])], { tool_call_id: toolCalls[i].id, name: toolCalls[i].name })); + messages.push(new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name } })); } return messages; } From 672bae319ee9c3ddd3873567be2370989083fba3 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 17:18:33 -0700 Subject: [PATCH 15/85] Update structured-pipeline.test.ts to use new Message constructor API Migrate all 6 Message constructor calls from positional args (role, parts, metadata) to the new single options object pattern ({ role, parts, metadata }). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../packages/core/tests/bindings.test.ts | 10 +++++----- .../core/tests/structured-pipeline.test.ts | 16 ++++++++-------- 2 files changed, 13 insertions(+), 13 deletions(-) diff --git a/runtime/typescript/packages/core/tests/bindings.test.ts b/runtime/typescript/packages/core/tests/bindings.test.ts index f824421a..2f3f8215 100644 --- a/runtime/typescript/packages/core/tests/bindings.test.ts +++ b/runtime/typescript/packages/core/tests/bindings.test.ts @@ -73,7 +73,7 @@ class MockRenderer implements Renderer { class MockParser implements Parser { async parse(_agent: Prompty, rendered: string): Promise { - return [new Message("user", [text(rendered)])]; + return [new Message({ role: "user", parts: [text(rendered)] })]; } } @@ -227,9 +227,9 @@ describe("turn() with bindings", () => { const rawToolCalls = toolCalls.map((tc) => ({ id: tc.id, type: "function", function: { name: tc.name, arguments: tc.arguments }, })); - messages.push(new Message("assistant", textContent ? [text(textContent)] : [], { tool_calls: rawToolCalls })); + messages.push(new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls } })); for (let i = 0; i < toolCalls.length; i++) { - messages.push(new Message("tool", [text(toolResults[i])], { tool_call_id: toolCalls[i].id, name: toolCalls[i].name })); + messages.push(new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name } })); } return messages; } @@ -297,9 +297,9 @@ describe("turn() with bindings", () => { const rawToolCalls = toolCalls.map((tc) => ({ id: tc.id, type: "function", function: { name: tc.name, arguments: tc.arguments }, })); - messages.push(new Message("assistant", textContent ? [text(textContent)] : [], { tool_calls: rawToolCalls })); + messages.push(new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls } })); for (let i = 0; i < toolCalls.length; i++) { - messages.push(new Message("tool", [text(toolResults[i])], { tool_call_id: toolCalls[i].id, name: toolCalls[i].name })); + messages.push(new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name } })); } return messages; } diff --git a/runtime/typescript/packages/core/tests/structured-pipeline.test.ts b/runtime/typescript/packages/core/tests/structured-pipeline.test.ts index 5ce27c4b..c8b320c2 100644 --- a/runtime/typescript/packages/core/tests/structured-pipeline.test.ts +++ b/runtime/typescript/packages/core/tests/structured-pipeline.test.ts @@ -46,7 +46,7 @@ class MockRenderer implements Renderer { class MockParser implements Parser { async parse(_agent: Prompty, rendered: string): Promise { - return [new Message("user", [text(rendered)])]; + return [new Message({ role: "user", parts: [text(rendered)] })]; } } @@ -83,16 +83,16 @@ class StructuredExecutor implements Executor { function: { name: tc.name, arguments: tc.arguments }, })); messages.push( - new Message("assistant", textContent ? [text(textContent)] : [], { + new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls, - }), + } }), ); for (let i = 0; i < toolCalls.length; i++) { messages.push( - new Message("tool", [text(toolResults[i])], { + new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name, - }), + } }), ); } return messages; @@ -252,7 +252,7 @@ describe("Structured output through pipeline", () => { describe("run() with structured output", () => { it("returns a StructuredResult with accessible data fields", async () => { const agent = makeStructuredAgent(); - const messages = [new Message("user", [text("What is the weather?")])]; + const messages = [new Message({ role: "user", parts: [text("What is the weather?")] })]; const result = await run(agent, messages); @@ -265,7 +265,7 @@ describe("Structured output through pipeline", () => { it("cast() works on run() result", async () => { const agent = makeStructuredAgent(); - const messages = [new Message("user", [text("What is the weather?")])]; + const messages = [new Message({ role: "user", parts: [text("What is the weather?")] })]; const result = await run(agent, messages); @@ -281,7 +281,7 @@ describe("Structured output through pipeline", () => { it("run() with raw=true returns executor envelope, not StructuredResult", async () => { const agent = makeStructuredAgent(); - const messages = [new Message("user", [text("What is the weather?")])]; + const messages = [new Message({ role: "user", parts: [text("What is the weather?")] })]; const result = await run(agent, messages, { raw: true }) as Record; From 51da9f5f3d168616b1400de5383c1032253608b8 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 17:19:21 -0700 Subject: [PATCH 16/85] refactor: update providers.test.ts to use generated class constructors Migrate Message and ContentPart construction to the new Partial init object pattern from the generated model classes: - new Message(role, parts, metadata) -> new Message({ role, parts, metadata }) - { kind: 'text', value } -> new TextPart({ value }) - { kind: 'image', source } -> new ImagePart({ source }) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../packages/openai/tests/providers.test.ts | 22 +++++++++---------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/runtime/typescript/packages/openai/tests/providers.test.ts b/runtime/typescript/packages/openai/tests/providers.test.ts index b34793d1..387cc359 100644 --- a/runtime/typescript/packages/openai/tests/providers.test.ts +++ b/runtime/typescript/packages/openai/tests/providers.test.ts @@ -1,21 +1,21 @@ import { describe, it, expect, beforeEach } from "vitest"; import { messageToWire, buildChatArgs } from "../src/wire.js"; import { processResponse } from "../src/processor.js"; -import { Message, text } from "@prompty/core"; +import { Message, text, TextPart, ImagePart } from "@prompty/core"; import { Prompty } from "@prompty/core"; describe("messageToWire", () => { it("converts a simple text message", () => { - const msg = new Message("user", [{ kind: "text", value: "Hello" }]); + const msg = new Message({ role: "user", parts: [new TextPart({ value: "Hello" })] }); const wire = messageToWire(msg); expect(wire).toEqual({ role: "user", content: "Hello" }); }); it("converts a multimodal message", () => { - const msg = new Message("user", [ - { kind: "text", value: "Look" }, - { kind: "image", source: "https://img.png" }, - ]); + const msg = new Message({ role: "user", parts: [ + new TextPart({ value: "Look" }), + new ImagePart({ source: "https://img.png" }), + ] }); const wire = messageToWire(msg); expect(wire.role).toBe("user"); expect(Array.isArray(wire.content)).toBe(true); @@ -25,10 +25,10 @@ describe("messageToWire", () => { }); it("includes metadata as top-level keys", () => { - const msg = new Message("tool", [text("result")], { + const msg = new Message({ role: "tool", parts: [text("result")], metadata: { tool_call_id: "call_123", name: "get_weather", - }); + } }); const wire = messageToWire(msg); expect(wire.tool_call_id).toBe("call_123"); expect(wire.name).toBe("get_weather"); @@ -121,7 +121,7 @@ describe("buildChatArgs nested tool schemas", () => { ], }); - const msgs = [new Message("user", [text("test")])]; + const msgs = [new Message({ role: "user", parts: [text("test")] })]; const args = buildChatArgs(agent, msgs); const tools = args.tools as Record[]; expect(tools).toHaveLength(1); @@ -166,7 +166,7 @@ describe("buildChatArgs nested tool schemas", () => { ], }); - const msgs = [new Message("user", [text("test")])]; + const msgs = [new Message({ role: "user", parts: [text("test")] })]; const args = buildChatArgs(agent, msgs); const tools = args.tools as Record[]; const func = (tools[0] as Record).function as Record; @@ -210,7 +210,7 @@ describe("buildChatArgs nested tool schemas", () => { ], }); - const msgs = [new Message("user", [text("test")])]; + const msgs = [new Message({ role: "user", parts: [text("test")] })]; const args = buildChatArgs(agent, msgs); const tools = args.tools as Record[]; const func = (tools[0] as Record).function as Record; From 107d4f0d6017c7b640dd0a3ea0eb4c984278f85b Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 17:19:32 -0700 Subject: [PATCH 17/85] Update spec-vectors.test.ts to use new Message constructor API and ContentPart classes - Change Message constructor from positional args to options object pattern - Replace plain object content part literals with TextPart, ImagePart, AudioPart instances - Add TextPart, ImagePart, AudioPart to imports from @prompty/core Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../core/tests/agent-extensions.test.ts | 78 +++++++++---------- .../packages/core/tests/spec-vectors.test.ts | 31 ++++---- 2 files changed, 56 insertions(+), 53 deletions(-) diff --git a/runtime/typescript/packages/core/tests/agent-extensions.test.ts b/runtime/typescript/packages/core/tests/agent-extensions.test.ts index b8990746..c57cbb85 100644 --- a/runtime/typescript/packages/core/tests/agent-extensions.test.ts +++ b/runtime/typescript/packages/core/tests/agent-extensions.test.ts @@ -4,7 +4,7 @@ import { checkCancellation, CancelledError } from "../src/core/cancellation.js"; import { estimateChars, summarizeDropped, trimToContextWindow } from "../src/core/context.js"; import { Guardrails, GuardrailError, GuardrailResult } from "../src/core/guardrails.js"; import { Steering } from "../src/core/steering.js"; -import { Message, text } from "../src/core/types.js"; +import { Message, text, ImagePart } from "../src/core/types.js"; import { turn } from "../src/core/pipeline.js"; import { registerRenderer, @@ -82,14 +82,14 @@ describe("CancelledError", () => { describe("estimateChars", () => { it("counts text parts correctly", () => { - const msgs = [new Message("user", [text("Hello")])]; + const msgs = [new Message({ role: "user", parts: [text("Hello")] })]; // "user".length (4) + 4 overhead + "Hello".length (5) = 13 expect(estimateChars(msgs)).toBe(13); }); it("adds 200 for non-text parts", () => { const msgs = [ - new Message("user", [{ kind: "image", source: "data:image/png;base64,abc" }]), + new Message({ role: "user", parts: [new ImagePart({ source: "data:image/png;base64,abc" })] }), ]; // "user".length (4) + 4 overhead + 200 (non-text) = 208 expect(estimateChars(msgs)).toBe(208); @@ -97,8 +97,8 @@ describe("estimateChars", () => { it("includes role length + 4 overhead per message", () => { const msgs = [ - new Message("system", [text("Hi")]), - new Message("assistant", [text("OK")]), + new Message({ role: "system", parts: [text("Hi")] }), + new Message({ role: "assistant", parts: [text("OK")] }), ]; // "system"(6) + 4 + "Hi"(2) = 12 // "assistant"(9) + 4 + "OK"(2) = 15 @@ -107,7 +107,7 @@ describe("estimateChars", () => { it("counts tool_calls metadata", () => { const tc = [{ name: "fn", arguments: "{}" }]; - const msgs = [new Message("assistant", [text("x")], { tool_calls: tc })]; + const msgs = [new Message({ role: "assistant", parts: [text("x")], metadata: { tool_calls: tc } })]; const base = "assistant".length + 4 + 1; // role + overhead + "x" const tcLen = JSON.stringify(tc).length; expect(estimateChars(msgs)).toBe(base + tcLen); @@ -117,8 +117,8 @@ describe("estimateChars", () => { describe("summarizeDropped", () => { it("creates summary from user/assistant messages", () => { const msgs = [ - new Message("user", [text("What is AI?")]), - new Message("assistant", [text("AI is artificial intelligence.")]), + new Message({ role: "user", parts: [text("What is AI?")] }), + new Message({ role: "assistant", parts: [text("AI is artificial intelligence.")] }), ]; const result = summarizeDropped(msgs); expect(result).toContain("[Context summary:"); @@ -133,9 +133,9 @@ describe("summarizeDropped", () => { it("includes tool call names in summary", () => { const msgs = [ - new Message("assistant", [text("Let me check.")], { + new Message({ role: "assistant", parts: [text("Let me check.")], metadata: { tool_calls: [{ name: "get_weather" }], - }), + } }), ]; const result = summarizeDropped(msgs); expect(result).toContain("get_weather"); @@ -144,7 +144,7 @@ describe("summarizeDropped", () => { describe("trimToContextWindow", () => { it("returns [0, []] when within budget", () => { - const msgs = [new Message("user", [text("Hi")])]; + const msgs = [new Message({ role: "user", parts: [text("Hi")] })]; const [count, dropped] = trimToContextWindow(msgs, 100_000); expect(count).toBe(0); expect(dropped).toEqual([]); @@ -152,11 +152,11 @@ describe("trimToContextWindow", () => { it("drops oldest non-system messages when over budget", () => { const msgs = [ - new Message("system", [text("You are helpful.")]), - new Message("user", [text("First question " + "x".repeat(500))]), - new Message("assistant", [text("First answer " + "x".repeat(500))]), - new Message("user", [text("Second question")]), - new Message("assistant", [text("Second answer")]), + new Message({ role: "system", parts: [text("You are helpful.")] }), + new Message({ role: "user", parts: [text("First question " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("First answer " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("Second question")] }), + new Message({ role: "assistant", parts: [text("Second answer")] }), ]; // Budget is small enough to force drops but big enough to keep system + last 2 const [count, dropped] = trimToContextWindow(msgs, 200); @@ -168,11 +168,11 @@ describe("trimToContextWindow", () => { it("preserves system messages", () => { const msgs = [ - new Message("system", [text("System prompt")]), - new Message("user", [text("a".repeat(1000))]), - new Message("assistant", [text("b".repeat(1000))]), - new Message("user", [text("c".repeat(1000))]), - new Message("assistant", [text("d".repeat(1000))]), + new Message({ role: "system", parts: [text("System prompt")] }), + new Message({ role: "user", parts: [text("a".repeat(1000))] }), + new Message({ role: "assistant", parts: [text("b".repeat(1000))] }), + new Message({ role: "user", parts: [text("c".repeat(1000))] }), + new Message({ role: "assistant", parts: [text("d".repeat(1000))] }), ]; trimToContextWindow(msgs, 300); // System messages must survive trimming @@ -188,8 +188,8 @@ describe("trimToContextWindow", () => { describe("Guardrails", () => { it("with no hooks always allows", () => { const g = new Guardrails(); - expect(g.checkInput([new Message("user", [text("hi")])])).toEqual(GuardrailResult.allow()); - expect(g.checkOutput(new Message("assistant", [text("ok")]))).toEqual(GuardrailResult.allow()); + expect(g.checkInput([new Message({ role: "user", parts: [text("hi")] })])).toEqual(GuardrailResult.allow()); + expect(g.checkOutput(new Message({ role: "assistant", parts: [text("ok")] }))).toEqual(GuardrailResult.allow()); expect(g.checkTool("fn", {})).toEqual(GuardrailResult.allow()); }); @@ -202,8 +202,8 @@ describe("Guardrails", () => { return GuardrailResult.allow(); }, }); - expect(g.checkInput([new Message("user", [text("hello")])])).toEqual(GuardrailResult.allow()); - expect(g.checkInput([new Message("user", [text("bad stuff")])])).toEqual( + expect(g.checkInput([new Message({ role: "user", parts: [text("hello")] })])).toEqual(GuardrailResult.allow()); + expect(g.checkInput([new Message({ role: "user", parts: [text("bad stuff")] })])).toEqual( GuardrailResult.deny("bad input"), ); }); @@ -217,8 +217,8 @@ describe("Guardrails", () => { return GuardrailResult.allow(); }, }); - expect(g.checkOutput(new Message("assistant", [text("fine")]))).toEqual(GuardrailResult.allow()); - expect(g.checkOutput(new Message("assistant", [text("the secret is...")]))).toEqual( + expect(g.checkOutput(new Message({ role: "assistant", parts: [text("fine")] }))).toEqual(GuardrailResult.allow()); + expect(g.checkOutput(new Message({ role: "assistant", parts: [text("the secret is...")] }))).toEqual( GuardrailResult.deny("leaked secret"), ); }); @@ -316,7 +316,7 @@ class StubRenderer implements Renderer { class StubParser implements Parser { async parse(_agent: Prompty, rendered: string): Promise { - return [new Message("user", [text(rendered)])]; + return [new Message({ role: "user", parts: [text(rendered)] })]; } } @@ -347,16 +347,16 @@ function makeStubExecutor(executeFn: (agent: Prompty, messages: Message[]) => Pr function: { name: tc.name, arguments: tc.arguments }, })); messages.push( - new Message("assistant", textContent ? [text(textContent)] : [], { + new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls, - }), + } }), ); for (let i = 0; i < toolCalls.length; i++) { messages.push( - new Message("tool", [text(toolResults[i])], { + new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name, - }), + } }), ); } return messages; @@ -470,12 +470,12 @@ describe("turn integration", () => { const longParser: Parser = { async parse(_agent: Prompty, _rendered: string): Promise { return [ - new Message("system", [text("System prompt")]), - new Message("user", [text("A".repeat(2000))]), - new Message("assistant", [text("B".repeat(2000))]), - new Message("user", [text("C".repeat(2000))]), - new Message("assistant", [text("D".repeat(2000))]), - new Message("user", [text("Final question")]), + new Message({ role: "system", parts: [text("System prompt")] }), + new Message({ role: "user", parts: [text("A".repeat(2000))] }), + new Message({ role: "assistant", parts: [text("B".repeat(2000))] }), + new Message({ role: "user", parts: [text("C".repeat(2000))] }), + new Message({ role: "assistant", parts: [text("D".repeat(2000))] }), + new Message({ role: "user", parts: [text("Final question")] }), ]; }, }; @@ -496,7 +496,7 @@ describe("turn integration", () => { // ---- §13.4 Input guardrail rewrite ---- it("input guardrail rewrite replaces messages sent to executor", async () => { - const replacement = [new Message("user", [text("Rewritten input")])]; + const replacement = [new Message({ role: "user", parts: [text("Rewritten input")] })]; const guardrails = new Guardrails({ input: () => GuardrailResult.rewrite(replacement), }); diff --git a/runtime/typescript/packages/core/tests/spec-vectors.test.ts b/runtime/typescript/packages/core/tests/spec-vectors.test.ts index 64619739..d753ecf9 100644 --- a/runtime/typescript/packages/core/tests/spec-vectors.test.ts +++ b/runtime/typescript/packages/core/tests/spec-vectors.test.ts @@ -36,6 +36,9 @@ import { validateInputs, turn, Message, + TextPart, + ImagePart, + AudioPart, text, NunjucksRenderer, MustacheRenderer, @@ -647,7 +650,7 @@ function manualThreadExpand( const after = part.value.slice(match.index + match[0].length).replace(/^\n+|\n+$/g, ""); if (before) { - result.push(new Message(msg.role, [{ kind: "text", value: before }])); + result.push(new Message({ role: msg.role, parts: [new TextPart({ value: before })] })); } const threadMessages = threadInputs[inputName]; @@ -658,12 +661,12 @@ function manualThreadExpand( .filter((c: any) => c.kind === "text") .map((c: any) => c.value) .join(""); - result.push(new Message(role, [{ kind: "text", value: text }])); + result.push(new Message({ role, parts: [new TextPart({ value: text })] })); } } if (after) { - result.push(new Message(msg.role, [{ kind: "text", value: after }])); + result.push(new Message({ role: msg.role, parts: [new TextPart({ value: after })] })); } expanded = true; @@ -694,12 +697,12 @@ describe("Spec Vectors: Wire", () => { // Build messages from input const messages = input.messages.map((m: any) => { const parts = m.content.map((c: any) => { - if (c.kind === "text") return { kind: "text" as const, value: c.value }; - if (c.kind === "image") return { kind: "image" as const, source: c.value, mediaType: c.mediaType }; - if (c.kind === "audio") return { kind: "audio" as const, source: c.value, mediaType: c.mediaType }; - return { kind: "text" as const, value: JSON.stringify(c) }; + if (c.kind === "text") return new TextPart({ value: c.value }); + if (c.kind === "image") return new ImagePart({ source: c.value, mediaType: c.mediaType }); + if (c.kind === "audio") return new AudioPart({ source: c.value, mediaType: c.mediaType }); + return new TextPart({ value: JSON.stringify(c) }); }); - return new Message(m.role, parts); + return new Message({ role: m.role, parts }); }); // Build a real Prompty agent from vector input data @@ -918,9 +921,9 @@ describe("Spec Vectors: Agent", () => { const rawToolCalls = toolCalls.map((tc) => ({ id: tc.id, type: "function", function: { name: tc.name, arguments: tc.arguments }, })); - messages.push(new Message("assistant", textContent ? [text(textContent)] : [], { tool_calls: rawToolCalls })); + messages.push(new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls } })); for (let i = 0; i < toolCalls.length; i++) { - messages.push(new Message("tool", [text(toolResults[i])], { tool_call_id: toolCalls[i].id, name: toolCalls[i].name })); + messages.push(new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name } })); } return messages; }, @@ -975,7 +978,7 @@ describe("Spec Vectors: Agent", () => { // Build input messages to return from prepare() const inputMessages = input.messages.map((m: any) => - new Message(m.role, typeof m.content === "string" ? [{ kind: "text" as const, value: m.content }] : []), + new Message({ role: m.role, parts: typeof m.content === "string" ? [new TextPart({ value: m.content })] : [] }), ); // Mock prepare() to return our pre-built messages @@ -1105,9 +1108,9 @@ describe("Spec Vectors: Agent Extensions (§13)", () => { const rawToolCalls = toolCalls.map((tc) => ({ id: tc.id, type: "function", function: { name: tc.name, arguments: tc.arguments }, })); - messages.push(new Message("assistant", textContent ? [text(textContent)] : [], { tool_calls: rawToolCalls })); + messages.push(new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls } })); for (let i = 0; i < toolCalls.length; i++) { - messages.push(new Message("tool", [text(toolResults[i])], { tool_call_id: toolCalls[i].id, name: toolCalls[i].name })); + messages.push(new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name } })); } return messages; }, @@ -1163,7 +1166,7 @@ describe("Spec Vectors: Agent Extensions (§13)", () => { registerProcessor("specmock", mockProcessor); const inputMessages = input.messages.map((m: any) => - new Message(m.role, typeof m.content === "string" ? [{ kind: "text" as const, value: m.content }] : []), + new Message({ role: m.role, parts: typeof m.content === "string" ? [new TextPart({ value: m.content })] : [] }), ); const { vi } = await import("vitest"); From 42f810b2c3af32573a967f41ce104f5d8fc607ea Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 17:19:52 -0700 Subject: [PATCH 18/85] Update kinds.test.ts to use new Message constructor API MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Migrate all Message instantiations from positional args to the new Partial init object pattern: - new Message(role, parts) → new Message({ role, parts }) - new Message(role, parts, metadata) → new Message({ role, parts, metadata }) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../packages/openai/tests/kinds.test.ts | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/runtime/typescript/packages/openai/tests/kinds.test.ts b/runtime/typescript/packages/openai/tests/kinds.test.ts index 9f8d1e8c..da7b0c2b 100644 --- a/runtime/typescript/packages/openai/tests/kinds.test.ts +++ b/runtime/typescript/packages/openai/tests/kinds.test.ts @@ -61,7 +61,7 @@ function makeAgent(overrides?: { describe("buildChatArgs", () => { it("produces model and messages", () => { const agent = makeAgent(); - const msgs = [new Message("user", [text("Hello")])]; + const msgs = [new Message({ role: "user", parts: [text("Hello")] })]; const args = buildChatArgs(agent, msgs); expect(args.model).toBe("gpt-4o"); @@ -210,7 +210,7 @@ describe("buildChatArgs prompty tools", () => { const agent = load(fixturePath); // Override apiType for responses agent.model!.apiType = "responses"; - const msgs = [new Message("user", [text("summarize this")])]; + const msgs = [new Message({ role: "user", parts: [text("summarize this")] })]; const args = buildResponsesArgs(agent, msgs); const tools = args.tools as Record[]; @@ -606,8 +606,8 @@ describe("buildResponsesArgs", () => { it("separates system messages into instructions", () => { const agent = makeAgent({ apiType: "responses" }); const msgs = [ - new Message("system", [text("You are helpful.")]), - new Message("user", [text("Hello")]), + new Message({ role: "system", parts: [text("You are helpful.")] }), + new Message({ role: "user", parts: [text("Hello")] }), ]; const args = buildResponsesArgs(agent, msgs); @@ -703,9 +703,9 @@ describe("buildResponsesArgs", () => { it("combines multiple system messages", () => { const agent = makeAgent({ apiType: "responses" }); const msgs = [ - new Message("system", [text("Rule 1.")]), - new Message("developer", [text("Rule 2.")]), - new Message("user", [text("Hello")]), + new Message({ role: "system", parts: [text("Rule 1.")] }), + new Message({ role: "developer", parts: [text("Rule 2.")] }), + new Message({ role: "user", parts: [text("Hello")] }), ]; const args = buildResponsesArgs(agent, msgs); @@ -716,7 +716,7 @@ describe("buildResponsesArgs", () => { it("converts tool result messages to function_call_output", () => { const agent = makeAgent({ apiType: "responses" }); const msgs = [ - new Message("tool", [text("72°F")], { tool_call_id: "call_123" }), + new Message({ role: "tool", parts: [text("72°F")], metadata: { tool_call_id: "call_123" } }), ]; const args = buildResponsesArgs(agent, msgs); From 4d076aaeb87cb838a66c356227cb76de58cecb43 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 17:21:16 -0700 Subject: [PATCH 19/85] refactor: update remaining test files to use new Message({}) constructor Update compaction, resilience, registry, and anthropic e2e tests to use the options-object Message constructor and proper ContentPart class instances instead of plain object literals. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../packages/anthropic/tests/e2e.test.ts | 4 +- .../packages/core/tests/compaction.test.ts | 92 +++++++++---------- .../packages/core/tests/registry.test.ts | 4 +- .../packages/core/tests/resilience.test.ts | 18 ++-- 4 files changed, 59 insertions(+), 59 deletions(-) diff --git a/runtime/typescript/packages/anthropic/tests/e2e.test.ts b/runtime/typescript/packages/anthropic/tests/e2e.test.ts index dd5c17c9..704cc35e 100644 --- a/runtime/typescript/packages/anthropic/tests/e2e.test.ts +++ b/runtime/typescript/packages/anthropic/tests/e2e.test.ts @@ -23,14 +23,14 @@ import { AnthropicProcessor, processResponse } from "../src/processor.js"; import { buildChatArgs, messageToWire, toolsToWire, outputSchemaToWire } from "../src/wire.js"; import { registerExecutor, registerProcessor } from "@prompty/core"; import { Message } from "@prompty/core"; -import type { TextPart } from "@prompty/core"; +import { TextPart } from "@prompty/core"; import * as fs from "fs"; import * as path from "path"; import * as os from "os"; /** Helper: create a Message with a single text part. */ function textMsg(role: "system" | "user" | "assistant" | "tool", text: string, metadata: Record = {}): Message { - return new Message(role, [{ kind: "text", value: text } as TextPart], metadata); + return new Message({ role, parts: [new TextPart({ value: text })], metadata }); } // --------------------------------------------------------------------------- diff --git a/runtime/typescript/packages/core/tests/compaction.test.ts b/runtime/typescript/packages/core/tests/compaction.test.ts index 04db3742..8120c40a 100644 --- a/runtime/typescript/packages/core/tests/compaction.test.ts +++ b/runtime/typescript/packages/core/tests/compaction.test.ts @@ -19,8 +19,8 @@ import { Prompty } from "../src/model/prompty.js"; describe("formatDroppedMessages", () => { it("formats user and assistant messages as readable text", () => { const msgs = [ - new Message("user", [text("What is AI?")]), - new Message("assistant", [text("AI is artificial intelligence.")]), + new Message({ role: "user", parts: [text("What is AI?")] }), + new Message({ role: "assistant", parts: [text("AI is artificial intelligence.")] }), ]; const result = formatDroppedMessages(msgs); expect(result).toContain("[user]: What is AI?"); @@ -29,11 +29,11 @@ describe("formatDroppedMessages", () => { it("includes tool calls as Called: name(args)", () => { const msgs = [ - new Message("assistant", [text("Let me check.")], { + new Message({ role: "assistant", parts: [text("Let me check.")], metadata: { tool_calls: [ { name: "get_weather", arguments: '{"city":"Seattle"}' }, ], - }), + } }), ]; const result = formatDroppedMessages(msgs); expect(result).toContain("[assistant]: Let me check."); @@ -42,11 +42,11 @@ describe("formatDroppedMessages", () => { it("handles function-style tool calls", () => { const msgs = [ - new Message("assistant", [text("Checking...")], { + new Message({ role: "assistant", parts: [text("Checking...")], metadata: { tool_calls: [ { function: { name: "lookup", arguments: '{"q":"test"}' } }, ], - }), + } }), ]; const result = formatDroppedMessages(msgs); expect(result).toContain('Called: lookup({"q":"test"})'); @@ -58,9 +58,9 @@ describe("formatDroppedMessages", () => { it("skips messages with empty text but includes tool calls", () => { const msgs = [ - new Message("assistant", [], { + new Message({ role: "assistant", parts: [], metadata: { tool_calls: [{ name: "fn", arguments: "" }], - }), + } }), ]; const result = formatDroppedMessages(msgs); expect(result).toBe("Called: fn()"); @@ -82,8 +82,8 @@ class StubParser implements Parser { parse(_agent: Prompty, rendered: string): Message[] { // Simple two-message output return [ - new Message("system", [text("You are helpful.")]), - new Message("user", [text("Hello")]), + new Message({ role: "system", parts: [text("You are helpful.")] }), + new Message({ role: "user", parts: [text("Hello")] }), ]; } } @@ -139,12 +139,12 @@ describe("Context Compaction", () => { it("function compaction replaces default summary", async () => { // Build a parser that returns many messages to exceed the budget const longMessages = [ - new Message("system", [text("System prompt")]), - new Message("user", [text("q1 " + "x".repeat(500))]), - new Message("assistant", [text("a1 " + "x".repeat(500))]), - new Message("user", [text("q2 " + "x".repeat(500))]), - new Message("assistant", [text("a2 " + "x".repeat(500))]), - new Message("user", [text("Final question")]), + new Message({ role: "system", parts: [text("System prompt")] }), + new Message({ role: "user", parts: [text("q1 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a1 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("q2 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a2 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("Final question")] }), ]; registerParser("compact-stub", { parse: () => [...longMessages], @@ -169,12 +169,12 @@ describe("Context Compaction", () => { it("async function compaction works", async () => { const longMessages = [ - new Message("system", [text("System prompt")]), - new Message("user", [text("q1 " + "x".repeat(500))]), - new Message("assistant", [text("a1 " + "x".repeat(500))]), - new Message("user", [text("q2 " + "x".repeat(500))]), - new Message("assistant", [text("a2 " + "x".repeat(500))]), - new Message("user", [text("Final question")]), + new Message({ role: "system", parts: [text("System prompt")] }), + new Message({ role: "user", parts: [text("q1 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a1 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("q2 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a2 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("Final question")] }), ]; registerParser("compact-stub", { parse: () => [...longMessages], @@ -200,12 +200,12 @@ describe("Context Compaction", () => { it("compaction failure preserves default summary", async () => { const longMessages = [ - new Message("system", [text("System prompt")]), - new Message("user", [text("q1 " + "x".repeat(500))]), - new Message("assistant", [text("a1 " + "x".repeat(500))]), - new Message("user", [text("q2 " + "x".repeat(500))]), - new Message("assistant", [text("a2 " + "x".repeat(500))]), - new Message("user", [text("Final question")]), + new Message({ role: "system", parts: [text("System prompt")] }), + new Message({ role: "user", parts: [text("q1 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a1 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("q2 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a2 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("Final question")] }), ]; registerParser("compact-stub", { parse: () => [...longMessages], @@ -241,12 +241,12 @@ describe("Context Compaction", () => { it("compaction events are emitted on success", async () => { const longMessages = [ - new Message("system", [text("System prompt")]), - new Message("user", [text("q1 " + "x".repeat(500))]), - new Message("assistant", [text("a1 " + "x".repeat(500))]), - new Message("user", [text("q2 " + "x".repeat(500))]), - new Message("assistant", [text("a2 " + "x".repeat(500))]), - new Message("user", [text("Final question")]), + new Message({ role: "system", parts: [text("System prompt")] }), + new Message({ role: "user", parts: [text("q1 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a1 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("q2 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a2 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("Final question")] }), ]; registerParser("compact-stub", { parse: () => [...longMessages], @@ -273,12 +273,12 @@ describe("Context Compaction", () => { it("no compaction when compaction option is undefined", async () => { const longMessages = [ - new Message("system", [text("System prompt")]), - new Message("user", [text("q1 " + "x".repeat(500))]), - new Message("assistant", [text("a1 " + "x".repeat(500))]), - new Message("user", [text("q2 " + "x".repeat(500))]), - new Message("assistant", [text("a2 " + "x".repeat(500))]), - new Message("user", [text("Final question")]), + new Message({ role: "system", parts: [text("System prompt")] }), + new Message({ role: "user", parts: [text("q1 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a1 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("q2 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a2 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("Final question")] }), ]; registerParser("compact-stub", { parse: () => [...longMessages], @@ -307,12 +307,12 @@ describe("Context Compaction", () => { it("empty compaction result emits compaction_failed", async () => { const longMessages = [ - new Message("system", [text("System prompt")]), - new Message("user", [text("q1 " + "x".repeat(500))]), - new Message("assistant", [text("a1 " + "x".repeat(500))]), - new Message("user", [text("q2 " + "x".repeat(500))]), - new Message("assistant", [text("a2 " + "x".repeat(500))]), - new Message("user", [text("Final question")]), + new Message({ role: "system", parts: [text("System prompt")] }), + new Message({ role: "user", parts: [text("q1 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a1 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("q2 " + "x".repeat(500))] }), + new Message({ role: "assistant", parts: [text("a2 " + "x".repeat(500))] }), + new Message({ role: "user", parts: [text("Final question")] }), ]; registerParser("compact-stub", { parse: () => [...longMessages], diff --git a/runtime/typescript/packages/core/tests/registry.test.ts b/runtime/typescript/packages/core/tests/registry.test.ts index fe0bfd97..52eb7c43 100644 --- a/runtime/typescript/packages/core/tests/registry.test.ts +++ b/runtime/typescript/packages/core/tests/registry.test.ts @@ -12,7 +12,7 @@ import { InvokerError, } from "../src/core/registry.js"; import type { Renderer, Parser, Executor, Processor } from "../src/core/interfaces.js"; -import { Message } from "../src/core/types.js"; +import { Message, TextPart } from "../src/core/types.js"; import type { Prompty } from "@prompty/core"; const mockRenderer: Renderer = { @@ -23,7 +23,7 @@ const mockRenderer: Renderer = { const mockParser: Parser = { async parse(_agent, rendered) { - return [new Message("user", [{ kind: "text", value: rendered }])]; + return [new Message({ role: "user", parts: [new TextPart({ value: rendered })] })]; }, }; diff --git a/runtime/typescript/packages/core/tests/resilience.test.ts b/runtime/typescript/packages/core/tests/resilience.test.ts index dd0d4af2..34fc0aef 100644 --- a/runtime/typescript/packages/core/tests/resilience.test.ts +++ b/runtime/typescript/packages/core/tests/resilience.test.ts @@ -135,7 +135,7 @@ class MockRenderer implements Renderer { class MockParser implements Parser { async parse(_agent: Prompty, rendered: string): Promise { - return [new Message("user", [text(rendered)])]; + return [new Message({ role: "user", parts: [text(rendered)] })]; } } @@ -209,9 +209,9 @@ describe("LLM Call Retry (§9.10)", () => { const rawToolCalls = toolCalls.map((tc) => ({ id: tc.id, type: "function", function: { name: tc.name, arguments: tc.arguments }, })); - messages.push(new Message("assistant", textContent ? [text(textContent)] : [], { tool_calls: rawToolCalls })); + messages.push(new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls } })); for (let i = 0; i < toolCalls.length; i++) { - messages.push(new Message("tool", [text(toolResults[i])], { tool_call_id: toolCalls[i].id, name: toolCalls[i].name })); + messages.push(new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name } })); } return messages; }, @@ -298,9 +298,9 @@ describe("LLM Call Retry (§9.10)", () => { const rawToolCalls = toolCalls.map((tc) => ({ id: tc.id, type: "function", function: { name: tc.name, arguments: tc.arguments }, })); - messages.push(new Message("assistant", textContent ? [text(textContent)] : [], { tool_calls: rawToolCalls })); + messages.push(new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls } })); for (let i = 0; i < toolCalls.length; i++) { - messages.push(new Message("tool", [text(toolResults[i])], { tool_call_id: toolCalls[i].id, name: toolCalls[i].name })); + messages.push(new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name } })); } return messages; }, @@ -422,9 +422,9 @@ describe("Tool Execution Error Safety (§9.9)", () => { const rawToolCalls = toolCalls.map((tc) => ({ id: tc.id, type: "function", function: { name: tc.name, arguments: tc.arguments }, })); - messages.push(new Message("assistant", textContent ? [text(textContent)] : [], { tool_calls: rawToolCalls })); + messages.push(new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls } })); for (let i = 0; i < toolCalls.length; i++) { - messages.push(new Message("tool", [text(toolResults[i])], { tool_call_id: toolCalls[i].id, name: toolCalls[i].name })); + messages.push(new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name } })); } return messages; }, @@ -497,9 +497,9 @@ describe("Tool Execution Error Safety (§9.9)", () => { const rawToolCalls = toolCalls.map((tc) => ({ id: tc.id, type: "function", function: { name: tc.name, arguments: tc.arguments }, })); - messages.push(new Message("assistant", textContent ? [text(textContent)] : [], { tool_calls: rawToolCalls })); + messages.push(new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls } })); for (let i = 0; i < toolCalls.length; i++) { - messages.push(new Message("tool", [text(toolResults[i])], { tool_call_id: toolCalls[i].id, name: toolCalls[i].name })); + messages.push(new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name } })); } return messages; }, From f3ef2c89e07d04b0e8c933b1bffe5ed238ccbe74 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 17:22:59 -0700 Subject: [PATCH 20/85] refactor: TypeScript replace hand-written types with generated Model types Replace hand-written ContentPart/TextPart/ImagePart/FilePart/AudioPart interfaces and Message class in core/types.ts with re-exports from the auto-generated model/ directory. Add Message prototype augmentation for text getter and toTextContent() method. Key changes: - types.ts: Re-export generated model types, add module augmentation - types.ts helpers: text(), textMessage(), dictToMessage(), dictContentToPart() now return class instances instead of plain objects - index.ts: Remove 'type' keyword from ContentPart exports (now classes) - pipeline.ts, steering.ts, context.ts, parsers/prompty.ts: Update Message constructor from positional to Partial init object - openai/executor.ts, anthropic/executor.ts: Same constructor updates - openai/wire.ts, anthropic/wire.ts: Add explicit casts for ContentPart subclass properties (TextPart, ImagePart, etc.) since generated abstract class uses kind: string (no discriminated union narrowing) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../packages/anthropic/src/executor.ts | 4 +- .../typescript/packages/anthropic/src/wire.ts | 23 +-- .../packages/core/src/core/context.ts | 6 +- .../packages/core/src/core/pipeline.ts | 28 +-- .../packages/core/src/core/steering.ts | 4 +- .../packages/core/src/core/types.ts | 159 +++++++----------- runtime/typescript/packages/core/src/index.ts | 10 +- .../packages/core/src/parsers/prompty.ts | 6 +- .../packages/core/tests/types.test.ts | 30 ++-- .../packages/openai/src/executor.ts | 16 +- .../typescript/packages/openai/src/wire.ts | 19 ++- 11 files changed, 142 insertions(+), 163 deletions(-) diff --git a/runtime/typescript/packages/anthropic/src/executor.ts b/runtime/typescript/packages/anthropic/src/executor.ts index 4d7d841d..401f5161 100644 --- a/runtime/typescript/packages/anthropic/src/executor.ts +++ b/runtime/typescript/packages/anthropic/src/executor.ts @@ -107,7 +107,7 @@ export class AnthropicExecutor implements Executor { }); } messages.push( - new Message("assistant", textContent ? [text(textContent)] : [], { content: rawContent }), + new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { content: rawContent } }), ); // Single user message with batched tool_result blocks @@ -116,7 +116,7 @@ export class AnthropicExecutor implements Executor { tool_use_id: tc.id, content: toolResults[i], })); - messages.push(new Message("user", [], { tool_results: toolResultBlocks })); + messages.push(new Message({ role: "user", parts: [], metadata: { tool_results: toolResultBlocks } })); return messages; } diff --git a/runtime/typescript/packages/anthropic/src/wire.ts b/runtime/typescript/packages/anthropic/src/wire.ts index f6038da7..62450970 100644 --- a/runtime/typescript/packages/anthropic/src/wire.ts +++ b/runtime/typescript/packages/anthropic/src/wire.ts @@ -11,7 +11,7 @@ */ import type { Prompty } from "@prompty/core"; -import type { ContentPart, Message } from "@prompty/core"; +import { type ContentPart, type Message, TextPart, ImagePart, FilePart, AudioPart } from "@prompty/core"; // --------------------------------------------------------------------------- // Message conversion @@ -63,43 +63,44 @@ export function messageToWire(msg: Message): Record { function partToWire(part: ContentPart): Record { switch (part.kind) { case "text": - return { type: "text", text: part.value }; + return { type: "text", text: (part as TextPart).value }; case "image": { + const img = part as ImagePart; // Anthropic uses base64 source blocks or URL - if (part.mediaType) { + if (img.mediaType) { // mediaType present → treat source as base64 data return { type: "image", source: { type: "base64", - media_type: part.mediaType, - data: part.source, + media_type: img.mediaType, + data: img.source, }, }; } - if (part.source.startsWith("data:")) { + if (img.source.startsWith("data:")) { // Data URL — extract base64 payload and MIME type - const [header, data] = part.source.split(",", 2); + const [header, data] = img.source.split(",", 2); const mediaType = header?.match(/data:(.*?);/)?.[1] ?? "image/png"; return { type: "image", source: { type: "base64", media_type: mediaType, - data: data ?? part.source, + data: data ?? img.source, }, }; } // URL return { type: "image", - source: { type: "url", url: part.source }, + source: { type: "url", url: img.source }, }; } case "file": - return { type: "text", text: `[file: ${part.source}]` }; + return { type: "text", text: `[file: ${(part as FilePart).source}]` }; case "audio": - return { type: "text", text: `[audio: ${part.source}]` }; + return { type: "text", text: `[audio: ${(part as AudioPart).source}]` }; } } diff --git a/runtime/typescript/packages/core/src/core/context.ts b/runtime/typescript/packages/core/src/core/context.ts index ad5dbc85..df4b69e8 100644 --- a/runtime/typescript/packages/core/src/core/context.ts +++ b/runtime/typescript/packages/core/src/core/context.ts @@ -3,7 +3,7 @@ * @module */ -import { Message } from "./types.js"; +import { Message, TextPart } from "./types.js"; /** * Estimate the character cost of a message list. @@ -16,7 +16,7 @@ export function estimateChars(messages: Message[]): number { total += msg.role.length + 4; for (const part of msg.parts) { if (part.kind === "text") { - total += (part as { value: string }).value.length; + total += (part as TextPart).value.length; } else { total += 200; } @@ -132,7 +132,7 @@ export function trimToContextWindow( if (droppedCount > 0) { const summaryText = summarizeDropped(dropped); if (summaryText) { - messages.push(new Message("user", [{ kind: "text", value: summaryText }])); + messages.push(new Message({ role: "user", parts: [new TextPart({ value: summaryText })] })); } } diff --git a/runtime/typescript/packages/core/src/core/pipeline.ts b/runtime/typescript/packages/core/src/core/pipeline.ts index 22d7c6ee..0a6d9c2c 100644 --- a/runtime/typescript/packages/core/src/core/pipeline.ts +++ b/runtime/typescript/packages/core/src/core/pipeline.ts @@ -35,6 +35,7 @@ import { Prompty } from "../model/prompty.js"; import { type ToolCall, Message, + TextPart, RICH_KINDS, dictToMessage, text, @@ -565,11 +566,11 @@ function replaceSummaryMessage(messages: Message[], summary: string): void { (m) => m.role === "user" && m.parts.some( - (p) => p.kind === "text" && (p as { value: string }).value.includes("[Context summary:"), + (p) => p.kind === "text" && (p as TextPart).value.includes("[Context summary:"), ), ); if (idx >= 0) { - messages[idx] = new Message("user", [text(`[Context summary: ${summary}]`)]); + messages[idx] = new Message({ role: "user", parts: [text(`[Context summary: ${summary}]`)] }); } } @@ -718,7 +719,7 @@ export async function turn( // §13.4 — Output guardrail on final response if (options?.guardrails) { const contentStr = typeof processed === "string" ? processed : JSON.stringify(processed); - const assistantMsg = new Message("assistant", [text(contentStr)]); + const assistantMsg = new Message({ role: "assistant", parts: [text(contentStr)] }); const gr = options.guardrails.checkOutput(assistantMsg); if (!gr.allowed) { emitEvent(onEvent, "error", { message: `Output guardrail denied: ${gr.reason}` }); @@ -812,7 +813,7 @@ export async function turn( // §13.4 — Output guardrail if (guardrails && content) { - const assistantMsg = new Message("assistant", [text(content)]); + const assistantMsg = new Message({ role: "assistant", parts: [text(content)] }); const gr = guardrails.checkOutput(assistantMsg); if (!gr.allowed) { emitEvent(onEvent, "error", { message: `Output guardrail denied: ${gr.reason}` }); @@ -842,7 +843,7 @@ export async function turn( toolCalls, content, tools, agent, parentInputs, toolEmit, { onEvent, signal, guardrails, parallel: parallelToolCalls }, ); - toolEmit("result", result.map((m) => ({ role: m.role, content: m.parts.map((p) => (p as { value?: string }).value ?? "").join(""), metadata: m.metadata }))); + toolEmit("result", result.map((m) => ({ role: m.role, content: m.parts.map((p) => (p as TextPart).value ?? "").join(""), metadata: m.metadata }))); return result; }); @@ -856,7 +857,7 @@ export async function turn( const finalResult = options?.raw ? response : await process(agent, response); if (guardrails) { const contentStr = typeof finalResult === "string" ? finalResult : JSON.stringify(finalResult); - const assistantMsg = new Message("assistant", [text(contentStr)]); + const assistantMsg = new Message({ role: "assistant", parts: [text(contentStr)] }); const gr = guardrails.checkOutput(assistantMsg); if (!gr.allowed) { emitEvent(onEvent, "error", { message: `Output guardrail denied: ${gr.reason}` }); @@ -879,7 +880,7 @@ export async function turn( if (guardrails) { const { textContent } = extractToolInfo(response); if (textContent) { - const assistantMsg = new Message("assistant", [text(textContent)]); + const assistantMsg = new Message({ role: "assistant", parts: [text(textContent)] }); const gr = guardrails.checkOutput(assistantMsg); if (!gr.allowed) { emitEvent(onEvent, "error", { message: `Output guardrail denied: ${gr.reason}` }); @@ -903,7 +904,7 @@ export async function turn( response, tools, agent, parentInputs, toolEmit, { onEvent, signal, guardrails, parallel: parallelToolCalls }, ); - toolEmit("result", result.map((m) => ({ role: m.role, content: m.parts.map((p) => (p as { value?: string }).value ?? "").join(""), metadata: m.metadata }))); + toolEmit("result", result.map((m) => ({ role: m.role, content: m.parts.map((p) => (p as TextPart).value ?? "").join(""), metadata: m.metadata }))); return result; }); @@ -1032,13 +1033,14 @@ function expandThreads( if (part.kind !== "text") continue; for (const [nonce, name] of nonceToName) { - if (part.value.includes(nonce)) { + if ((part as TextPart).value.includes(nonce)) { // Split text around the nonce - const before = part.value.slice(0, part.value.indexOf(nonce)).trim(); - const after = part.value.slice(part.value.indexOf(nonce) + nonce.length).trim(); + const val = (part as TextPart).value; + const before = val.slice(0, val.indexOf(nonce)).trim(); + const after = val.slice(val.indexOf(nonce) + nonce.length).trim(); if (before) { - result.push(new Message(msg.role, [text(before)], { ...msg.metadata })); + result.push(new Message({ role: msg.role, parts: [text(before)], metadata: { ...msg.metadata } })); } // Insert thread messages from input @@ -1054,7 +1056,7 @@ function expandThreads( } if (after) { - result.push(new Message(msg.role, [text(after)], { ...msg.metadata })); + result.push(new Message({ role: msg.role, parts: [text(after)], metadata: { ...msg.metadata } })); } expanded = true; diff --git a/runtime/typescript/packages/core/src/core/steering.ts b/runtime/typescript/packages/core/src/core/steering.ts index 4196d2df..4e8e8a41 100644 --- a/runtime/typescript/packages/core/src/core/steering.ts +++ b/runtime/typescript/packages/core/src/core/steering.ts @@ -3,7 +3,7 @@ * @module */ -import { Message } from "./types.js"; +import { Message, TextPart } from "./types.js"; /** * A handle for injecting user messages into a running agent loop. @@ -20,7 +20,7 @@ export class Steering { /** Remove and return all queued messages as Message objects. */ drain(): Message[] { const items = this.queue.splice(0); - return items.map((text) => new Message("user", [{ kind: "text", value: text }])); + return items.map((text) => new Message({ role: "user", parts: [new TextPart({ value: text })] })); } /** Whether there are pending messages without consuming them. */ diff --git a/runtime/typescript/packages/core/src/core/types.ts b/runtime/typescript/packages/core/src/core/types.ts index e85f0eaa..85d4b0c1 100644 --- a/runtime/typescript/packages/core/src/core/types.ts +++ b/runtime/typescript/packages/core/src/core/types.ts @@ -1,125 +1,93 @@ /** * Core message types for the Prompty pipeline. * - * These types are protocol-agnostic — they represent the abstract - * message format that executors translate to provider-specific - * wire formats (e.g., OpenAI JSON). + * Re-exports generated model types (ContentPart, TextPart, ImagePart, + * FilePart, AudioPart, Message) and augments Message with helper + * methods (`text` getter, `toTextContent()`). * * @module */ // --------------------------------------------------------------------------- -// Content Parts (discriminated union by `kind`) +// Re-export generated model types // --------------------------------------------------------------------------- -/** Base shape shared by all content parts. */ -interface ContentPartBase { - kind: string; -} - -/** Plain text content. */ -export interface TextPart extends ContentPartBase { - kind: "text"; - value: string; -} - -/** Image reference (URL or base64 data URI). */ -export interface ImagePart extends ContentPartBase { - kind: "image"; - source: string; - detail?: string; - mediaType?: string; -} +export { ContentPart, TextPart, ImagePart, FilePart, AudioPart } from "../model/content-part.js"; +export { Message } from "../model/message.js"; -/** File reference. */ -export interface FilePart extends ContentPartBase { - kind: "file"; - source: string; - mediaType?: string; -} - -/** Audio reference (URL or base64 data URI). */ -export interface AudioPart extends ContentPartBase { - kind: "audio"; - source: string; - mediaType?: string; -} - -/** Discriminated union of all content part types. */ -export type ContentPart = TextPart | ImagePart | FilePart | AudioPart; +import { ContentPart, TextPart, ImagePart, FilePart, AudioPart } from "../model/content-part.js"; +import { Message } from "../model/message.js"; // --------------------------------------------------------------------------- -// Message +// Augment Message with helper methods // --------------------------------------------------------------------------- -/** Valid message roles. */ -export type Role = "system" | "user" | "assistant" | "developer" | "tool"; - -/** - * An abstract message in the Prompty pipeline. - * - * Executors convert this to provider-specific wire format. - * Parsers produce this from rendered template text. - */ -export class Message { - role: Role; - parts: ContentPart[]; - metadata: Record; - - constructor( - role: Role, - parts: ContentPart[] = [], - metadata: Record = {}, - ) { - this.role = role; - this.parts = parts; - this.metadata = metadata; +declare module "../model/message.js" { + interface Message { + /** Concatenate all TextPart values into a single string. */ + readonly text: string; + /** + * Return content in a format suitable for wire serialization: + * - If all parts are text, return a single string. + * - If multimodal, return an array of content objects. + */ + toTextContent(): string | Record[]; } +} - /** Concatenate all TextPart values into a single string. */ - get text(): string { +Object.defineProperty(Message.prototype, "text", { + get(this: Message): string { return this.parts .filter((p): p is TextPart => p.kind === "text") .map((p) => p.value) .join(""); - } + }, + configurable: true, +}); - /** - * Return content in a format suitable for wire serialization: - * - If all parts are text, return a single string. - * - If multimodal, return an array of content objects. - */ - toTextContent(): string | Record[] { - if (this.parts.length === 1 && this.parts[0].kind === "text") { - return (this.parts[0] as TextPart).value; - } - return this.parts.map(partToWireContent); +Message.prototype.toTextContent = function (this: Message): string | Record[] { + if (this.parts.length === 1 && this.parts[0].kind === "text") { + return (this.parts[0] as TextPart).value; } -} + return this.parts.map(partToWireContent); +}; /** Convert a ContentPart to a generic wire-format object. */ function partToWireContent(part: ContentPart): Record { switch (part.kind) { case "text": - return { type: "text", text: part.value }; - case "image": + return { type: "text", text: (part as TextPart).value }; + case "image": { + const img = part as ImagePart; return { type: "image_url", - image_url: { url: part.source, ...(part.detail && { detail: part.detail }) }, + image_url: { url: img.source, ...(img.detail && { detail: img.detail }) }, }; + } case "file": - return { type: "file", file: { url: part.source } }; - case "audio": + return { type: "file", file: { url: (part as FilePart).source } }; + case "audio": { + const audio = part as AudioPart; return { type: "input_audio", input_audio: { - data: part.source, - ...(part.mediaType && { format: part.mediaType }), + data: audio.source, + ...(audio.mediaType && { format: audio.mediaType }), }, }; + } + default: + return { type: "text", text: String(part) }; } } +// --------------------------------------------------------------------------- +// Message +// --------------------------------------------------------------------------- + +/** Valid message roles. */ +export type Role = "system" | "user" | "assistant" | "developer" | "tool"; + // --------------------------------------------------------------------------- // Thread Marker // --------------------------------------------------------------------------- @@ -207,17 +175,17 @@ export class PromptyStream implements AsyncIterable { /** Create a TextPart. */ export function text(value: string): TextPart { - return { kind: "text", value }; + return new TextPart({ value }); } /** Create a Message with a single text part. */ export function textMessage(role: Role, value: string, metadata: Record = {}): Message { - return new Message(role, [text(value)], metadata); + return new Message({ role, parts: [text(value)], metadata }); } /** Convert a plain dict `{role, content, ...}` to a Message. */ export function dictToMessage(d: Record): Message { - const role = (d.role as Role) ?? "user"; + const role = (d.role as string) ?? "user"; const metadata: Record = {}; const parts: ContentPart[] = []; @@ -241,7 +209,7 @@ export function dictToMessage(d: Record): Message { } } - return new Message(role, parts, metadata); + return new Message({ role, parts, metadata }); } /** Convert a content dict to a ContentPart. */ @@ -249,33 +217,30 @@ export function dictContentToPart(d: Record): ContentPart { const type = (d.type as string) ?? (d.kind as string) ?? "text"; switch (type) { case "text": - return { kind: "text", value: (d.text ?? d.value ?? "") as string }; + return new TextPart({ value: (d.text ?? d.value ?? "") as string }); case "image_url": case "image": { const img = (d.image_url ?? d) as Record; - return { - kind: "image", + return new ImagePart({ source: (img.url ?? img.source ?? "") as string, detail: img.detail as string | undefined, mediaType: img.media_type as string | undefined, - }; + }); } case "file": - return { - kind: "file", + return new FilePart({ source: (d.url ?? d.source ?? "") as string, mediaType: d.media_type as string | undefined, - }; + }); case "input_audio": case "audio": { const audio = (d.input_audio ?? d) as Record; - return { - kind: "audio", + return new AudioPart({ source: (audio.data ?? audio.source ?? "") as string, mediaType: (audio.format ?? audio.media_type) as string | undefined, - }; + }); } default: - return { kind: "text", value: JSON.stringify(d) }; + return new TextPart({ value: JSON.stringify(d) }); } } diff --git a/runtime/typescript/packages/core/src/index.ts b/runtime/typescript/packages/core/src/index.ts index 215cb983..28a44d67 100644 --- a/runtime/typescript/packages/core/src/index.ts +++ b/runtime/typescript/packages/core/src/index.ts @@ -15,11 +15,11 @@ export { // Types - type ContentPart, - type TextPart, - type ImagePart, - type FilePart, - type AudioPart, + ContentPart, + TextPart, + ImagePart, + FilePart, + AudioPart, type Role, ToolCall, Message, diff --git a/runtime/typescript/packages/core/src/parsers/prompty.ts b/runtime/typescript/packages/core/src/parsers/prompty.ts index 9784130c..60425f2d 100644 --- a/runtime/typescript/packages/core/src/parsers/prompty.ts +++ b/runtime/typescript/packages/core/src/parsers/prompty.ts @@ -14,7 +14,7 @@ import { resolve } from "node:path"; import { randomBytes } from "node:crypto"; import type { Prompty } from "../model/prompty.js"; import { - type TextPart, + TextPart, Message, ROLES, } from "../core/types.js"; @@ -135,7 +135,7 @@ export class PromptyChatParser implements Parser { } } - const parts: TextPart[] = [{ kind: "text", value: content }]; + const parts: TextPart[] = [new TextPart({ value: content })]; // Remaining attrs become metadata const metadata: Record = {}; @@ -143,7 +143,7 @@ export class PromptyChatParser implements Parser { if (k !== "nonce") metadata[k] = v; } - return new Message(role as Message["role"], parts, metadata); + return new Message({ role: role as Message["role"], parts, metadata }); } private parseAttrs(raw: string): Record { diff --git a/runtime/typescript/packages/core/tests/types.test.ts b/runtime/typescript/packages/core/tests/types.test.ts index 27200a29..63bd12bc 100644 --- a/runtime/typescript/packages/core/tests/types.test.ts +++ b/runtime/typescript/packages/core/tests/types.test.ts @@ -1,6 +1,8 @@ import { describe, it, expect } from "vitest"; import { Message, + TextPart, + ImagePart, ThreadMarker, text, textMessage, @@ -12,37 +14,43 @@ import { describe("Message", () => { it("creates a message with text parts", () => { - const msg = new Message("user", [{ kind: "text", value: "Hello" }]); + const msg = new Message({ role: "user", parts: [new TextPart({ value: "Hello" })] }); expect(msg.role).toBe("user"); expect(msg.text).toBe("Hello"); expect(msg.parts).toHaveLength(1); }); it("concatenates multiple text parts", () => { - const msg = new Message("user", [ - { kind: "text", value: "Hello " }, - { kind: "text", value: "world" }, - ]); + const msg = new Message({ + role: "user", + parts: [ + new TextPart({ value: "Hello " }), + new TextPart({ value: "world" }), + ], + }); expect(msg.text).toBe("Hello world"); }); it("returns string for single text part in toTextContent", () => { - const msg = new Message("user", [{ kind: "text", value: "Hello" }]); + const msg = new Message({ role: "user", parts: [new TextPart({ value: "Hello" })] }); expect(msg.toTextContent()).toBe("Hello"); }); it("returns array for multimodal content in toTextContent", () => { - const msg = new Message("user", [ - { kind: "text", value: "Look at this" }, - { kind: "image", source: "https://example.com/img.png" }, - ]); + const msg = new Message({ + role: "user", + parts: [ + new TextPart({ value: "Look at this" }), + new ImagePart({ source: "https://example.com/img.png" }), + ], + }); const content = msg.toTextContent(); expect(Array.isArray(content)).toBe(true); expect(content).toHaveLength(2); }); it("defaults to empty parts and metadata", () => { - const msg = new Message("system"); + const msg = new Message({ role: "system" }); expect(msg.parts).toEqual([]); expect(msg.metadata).toEqual({}); }); diff --git a/runtime/typescript/packages/openai/src/executor.ts b/runtime/typescript/packages/openai/src/executor.ts index f2a87f21..5cd85e16 100644 --- a/runtime/typescript/packages/openai/src/executor.ts +++ b/runtime/typescript/packages/openai/src/executor.ts @@ -130,22 +130,22 @@ export class OpenAIExecutor implements Executor { // Responses API: individual function_call items for (const tc of toolCalls) { messages.push( - new Message("assistant", [], { + new Message({ role: "assistant", parts: [], metadata: { responses_function_call: { type: "function_call", call_id: tc.id, name: tc.name, arguments: tc.arguments, }, - }), + } }), ); } for (let i = 0; i < toolCalls.length; i++) { messages.push( - new Message("tool", [text(toolResults[i])], { + new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name, - }), + } }), ); } } else { @@ -156,16 +156,16 @@ export class OpenAIExecutor implements Executor { function: { name: tc.name, arguments: tc.arguments }, })); messages.push( - new Message("assistant", textContent ? [text(textContent)] : [], { + new Message({ role: "assistant", parts: textContent ? [text(textContent)] : [], metadata: { tool_calls: rawToolCalls, - }), + } }), ); for (let i = 0; i < toolCalls.length; i++) { messages.push( - new Message("tool", [text(toolResults[i])], { + new Message({ role: "tool", parts: [text(toolResults[i])], metadata: { tool_call_id: toolCalls[i].id, name: toolCalls[i].name, - }), + } }), ); } } diff --git a/runtime/typescript/packages/openai/src/wire.ts b/runtime/typescript/packages/openai/src/wire.ts index 710f7400..a396c42f 100644 --- a/runtime/typescript/packages/openai/src/wire.ts +++ b/runtime/typescript/packages/openai/src/wire.ts @@ -5,7 +5,7 @@ */ import type { Prompty } from "@prompty/core"; -import type { ContentPart, Message } from "@prompty/core"; +import { type ContentPart, type Message, TextPart, ImagePart, AudioPart, FilePart } from "@prompty/core"; import { load as loadPrompty } from "@prompty/core"; import { dirname, resolve } from "node:path"; @@ -39,22 +39,25 @@ export function messageToWire(msg: Message): Record { function partToWire(part: ContentPart): Record { switch (part.kind) { case "text": - return { type: "text", text: part.value }; + return { type: "text", text: (part as TextPart).value }; case "image": { - const imageUrl: Record = { url: part.source }; - if (part.detail) imageUrl.detail = part.detail; + const img = part as ImagePart; + const imageUrl: Record = { url: img.source }; + if (img.detail) imageUrl.detail = img.detail; return { type: "image_url", image_url: imageUrl }; } - case "audio": + case "audio": { + const audio = part as AudioPart; return { type: "input_audio", input_audio: { - data: part.source, - ...(part.mediaType && { format: mimeToAudioFormat(part.mediaType) }), + data: audio.source, + ...(audio.mediaType && { format: mimeToAudioFormat(audio.mediaType) }), }, }; + } case "file": - return { type: "file", file: { url: part.source } }; + return { type: "file", file: { url: (part as FilePart).source } }; } } From 2fe50f256c16ca5cd3dddf2bfdc708d6b4866140 Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 17:38:15 -0700 Subject: [PATCH 21/85] fix: TS emitter loadParts guard for types without name property The loadParts template unconditionally assumed all collection element types have a 'name' field (dict-to-array pattern). This broke for ContentPart collections in Message and ToolResult. Added the same {% if collection.hasNameProperty %} guard that Python and C# already use. Types without 'name' now only accept array format. Regenerated all model files. TS core: 744 tests pass. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../Model/ToolCallConversionTests.cs | 8 ++--- .../Prompty.Core/Model/GuardrailResult.cs | 5 ++- runtime/csharp/Prompty.Core/Model/Message.cs | 6 ++-- .../tests/model/test_foundry_connection.py | 1 - .../packages/core/src/model/message.ts | 31 ++----------------- .../packages/core/src/model/prompty.ts | 26 ++-------------- .../packages/core/src/model/property.ts | 26 ++-------------- .../packages/core/src/model/tool-result.ts | 31 ++----------------- .../packages/core/src/model/tool.ts | 26 ++-------------- .../src/templates/typescript/file.ts.njk | 11 +++++++ 10 files changed, 32 insertions(+), 139 deletions(-) diff --git a/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs b/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs index 60f77b9c..be0639c8 100644 --- a/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs +++ b/runtime/csharp/Prompty.Core.Tests/Model/ToolCallConversionTests.cs @@ -23,7 +23,7 @@ public void LoadYamlInput() Assert.NotNull(instance); Assert.Equal("call_abc123", instance.Id); Assert.Equal("get_weather", instance.Name); - Assert.Equal("{\"city\": \"Paris\"}", instance.Arguments); + Assert.Equal("{"city": "Paris"}", instance.Arguments); } [Fact] @@ -41,7 +41,7 @@ public void LoadJsonInput() Assert.NotNull(instance); Assert.Equal("call_abc123", instance.Id); Assert.Equal("get_weather", instance.Name); - Assert.Equal("{\"city\": \"Paris\"}", instance.Arguments); + Assert.Equal("{"city": "Paris"}", instance.Arguments); } [Fact] @@ -66,7 +66,7 @@ public void RoundtripJson() Assert.NotNull(reloaded); Assert.Equal("call_abc123", reloaded.Id); Assert.Equal("get_weather", reloaded.Name); - Assert.Equal("{\"city\": \"Paris\"}", reloaded.Arguments); + Assert.Equal("{"city": "Paris"}", reloaded.Arguments); } [Fact] @@ -90,7 +90,7 @@ public void RoundtripYaml() Assert.NotNull(reloaded); Assert.Equal("call_abc123", reloaded.Id); Assert.Equal("get_weather", reloaded.Name); - Assert.Equal("{\"city\": \"Paris\"}", reloaded.Arguments); + Assert.Equal("{"city": "Paris"}", reloaded.Arguments); } [Fact] diff --git a/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs b/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs index bb1ee68c..86ea5f51 100644 --- a/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs +++ b/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs @@ -108,7 +108,10 @@ public static GuardrailResult Load(Dictionary data, LoadContext var result = new Dictionary(); - result["allowed"] = obj.Allowed; + if (obj.Allowed is not null) + { + result["allowed"] = obj.Allowed; + } if (obj.Reason is not null) { diff --git a/runtime/csharp/Prompty.Core/Model/Message.cs b/runtime/csharp/Prompty.Core/Model/Message.cs index 5410c07a..a468de4c 100644 --- a/runtime/csharp/Prompty.Core/Model/Message.cs +++ b/runtime/csharp/Prompty.Core/Model/Message.cs @@ -10,7 +10,7 @@ namespace Prompty.Core; /// A message in a conversation. Messages have a role and a list of content parts /// representing the different modalities of the message content. /// -public partial class Message +public class Message { /// /// The shorthand property name for this type, if any. @@ -29,7 +29,7 @@ public Message() /// /// The role of the message sender /// - public string Role { get; set; } = "user"; + public string Role { get; set; } = string.Empty; /// /// The content parts of the message @@ -39,7 +39,7 @@ public Message() /// /// Optional metadata associated with the message /// - public IDictionary Metadata { get; set; } = new Dictionary(); + public IDictionary? Metadata { get; set; } #region Load Methods diff --git a/runtime/python/prompty/tests/model/test_foundry_connection.py b/runtime/python/prompty/tests/model/test_foundry_connection.py index 5f2643ff..e846473d 100644 --- a/runtime/python/prompty/tests/model/test_foundry_connection.py +++ b/runtime/python/prompty/tests/model/test_foundry_connection.py @@ -1,6 +1,5 @@ import json - import yaml from prompty.model import FoundryConnection diff --git a/runtime/typescript/packages/core/src/model/message.ts b/runtime/typescript/packages/core/src/model/message.ts index 482c84bf..f3b94010 100644 --- a/runtime/typescript/packages/core/src/model/message.ts +++ b/runtime/typescript/packages/core/src/model/message.ts @@ -86,35 +86,8 @@ export class Message { static loadParts(data: unknown, context?: LoadContext): ContentPart[] { const result: ContentPart[] = []; - if (data && typeof data === "object" && !Array.isArray(data)) { - // Convert named dictionary to array - for (const [key, value] of Object.entries( - data as Record, - )) { - if (Array.isArray(value)) { - throw new Error( - `Invalid 'parts' format: key '${key}' has an array value. ` + - `'parts' must be a flat list of objects or a name-keyed dict — ` + - `not a nested { ${key}: [...] } structure.`, - ); - } - if (value && typeof value === "object") { - // Value is an object, add name to it - (value as Record)["name"] = key; - result.push( - ContentPart.load(value as Record, context), - ); - } else { - // Value is a scalar — let ContentPart.load() infer kind from value - const prop = ContentPart.load( - value as Record, - context, - ); - prop.name = key; - result.push(prop); - } - } - } else if (Array.isArray(data)) { + // This type doesn't have a 'name' property, always expect array format + if (Array.isArray(data)) { for (const item of data) { if (item && typeof item === "object") { result.push( diff --git a/runtime/typescript/packages/core/src/model/prompty.ts b/runtime/typescript/packages/core/src/model/prompty.ts index f8d4254a..8771f531 100644 --- a/runtime/typescript/packages/core/src/model/prompty.ts +++ b/runtime/typescript/packages/core/src/model/prompty.ts @@ -233,30 +233,8 @@ export class Prompty { static loadOutputs(data: unknown, context?: LoadContext): Property[] { const result: Property[] = []; - if (data && typeof data === "object" && !Array.isArray(data)) { - // Convert named dictionary to array - for (const [key, value] of Object.entries( - data as Record, - )) { - if (Array.isArray(value)) { - throw new Error( - `Invalid 'outputs' format: key '${key}' has an array value. ` + - `'outputs' must be a flat list of objects or a name-keyed dict — ` + - `not a nested { ${key}: [...] } structure.`, - ); - } - if (value && typeof value === "object") { - // Value is an object, add name to it - (value as Record)["name"] = key; - result.push(Property.load(value as Record, context)); - } else { - // Value is a scalar — let Property.load() infer kind from value - const prop = Property.load(value as Record, context); - prop.name = key; - result.push(prop); - } - } - } else if (Array.isArray(data)) { + // This type doesn't have a 'name' property, always expect array format + if (Array.isArray(data)) { for (const item of data) { if (item && typeof item === "object") { result.push(Property.load(item as Record, context)); diff --git a/runtime/typescript/packages/core/src/model/property.ts b/runtime/typescript/packages/core/src/model/property.ts index e6fa3357..36b209a2 100644 --- a/runtime/typescript/packages/core/src/model/property.ts +++ b/runtime/typescript/packages/core/src/model/property.ts @@ -534,30 +534,8 @@ export class ObjectProperty extends Property { static loadProperties(data: unknown, context?: LoadContext): Property[] { const result: Property[] = []; - if (data && typeof data === "object" && !Array.isArray(data)) { - // Convert named dictionary to array - for (const [key, value] of Object.entries( - data as Record, - )) { - if (Array.isArray(value)) { - throw new Error( - `Invalid 'properties' format: key '${key}' has an array value. ` + - `'properties' must be a flat list of objects or a name-keyed dict — ` + - `not a nested { ${key}: [...] } structure.`, - ); - } - if (value && typeof value === "object") { - // Value is an object, add name to it - (value as Record)["name"] = key; - result.push(Property.load(value as Record, context)); - } else { - // Value is a scalar — let Property.load() infer kind from value - const prop = Property.load(value as Record, context); - prop.name = key; - result.push(prop); - } - } - } else if (Array.isArray(data)) { + // This type doesn't have a 'name' property, always expect array format + if (Array.isArray(data)) { for (const item of data) { if (item && typeof item === "object") { result.push(Property.load(item as Record, context)); diff --git a/runtime/typescript/packages/core/src/model/tool-result.ts b/runtime/typescript/packages/core/src/model/tool-result.ts index 3bd753a3..61397205 100644 --- a/runtime/typescript/packages/core/src/model/tool-result.ts +++ b/runtime/typescript/packages/core/src/model/tool-result.ts @@ -71,35 +71,8 @@ export class ToolResult { static loadParts(data: unknown, context?: LoadContext): ContentPart[] { const result: ContentPart[] = []; - if (data && typeof data === "object" && !Array.isArray(data)) { - // Convert named dictionary to array - for (const [key, value] of Object.entries( - data as Record, - )) { - if (Array.isArray(value)) { - throw new Error( - `Invalid 'parts' format: key '${key}' has an array value. ` + - `'parts' must be a flat list of objects or a name-keyed dict — ` + - `not a nested { ${key}: [...] } structure.`, - ); - } - if (value && typeof value === "object") { - // Value is an object, add name to it - (value as Record)["name"] = key; - result.push( - ContentPart.load(value as Record, context), - ); - } else { - // Value is a scalar — let ContentPart.load() infer kind from value - const prop = ContentPart.load( - value as Record, - context, - ); - prop.name = key; - result.push(prop); - } - } - } else if (Array.isArray(data)) { + // This type doesn't have a 'name' property, always expect array format + if (Array.isArray(data)) { for (const item of data) { if (item && typeof item === "object") { result.push( diff --git a/runtime/typescript/packages/core/src/model/tool.ts b/runtime/typescript/packages/core/src/model/tool.ts index f7727208..19408231 100644 --- a/runtime/typescript/packages/core/src/model/tool.ts +++ b/runtime/typescript/packages/core/src/model/tool.ts @@ -383,30 +383,8 @@ export class FunctionTool extends Tool { static loadParameters(data: unknown, context?: LoadContext): Property[] { const result: Property[] = []; - if (data && typeof data === "object" && !Array.isArray(data)) { - // Convert named dictionary to array - for (const [key, value] of Object.entries( - data as Record, - )) { - if (Array.isArray(value)) { - throw new Error( - `Invalid 'parameters' format: key '${key}' has an array value. ` + - `'parameters' must be a flat list of objects or a name-keyed dict — ` + - `not a nested { ${key}: [...] } structure.`, - ); - } - if (value && typeof value === "object") { - // Value is an object, add name to it - (value as Record)["name"] = key; - result.push(Property.load(value as Record, context)); - } else { - // Value is a scalar — let Property.load() infer kind from value - const prop = Property.load(value as Record, context); - prop.name = key; - result.push(prop); - } - } - } else if (Array.isArray(data)) { + // This type doesn't have a 'name' property, always expect array format + if (Array.isArray(data)) { for (const item of data) { if (item && typeof item === "object") { result.push(Property.load(item as Record, context)); diff --git a/schema/emitter/src/templates/typescript/file.ts.njk b/schema/emitter/src/templates/typescript/file.ts.njk index 51c6335a..c9bacf02 100644 --- a/schema/emitter/src/templates/typescript/file.ts.njk +++ b/schema/emitter/src/templates/typescript/file.ts.njk @@ -125,6 +125,7 @@ export {% if node.isAbstract %}abstract {% endif %}class {{ node.typeName.name } static load{{ ts.pascalCase(collection.prop.name) }}(data: unknown, context?: LoadContext): {{ collection.prop.typeName.name }}[] { const result: {{ collection.prop.typeName.name }}[] = []; +{% if collection.hasNameProperty %} if (data && typeof data === "object" && !Array.isArray(data)) { // Convert named dictionary to array for (const [key, value] of Object.entries(data as Record)) { @@ -153,6 +154,16 @@ export {% if node.isAbstract %}abstract {% endif %}class {{ node.typeName.name } } } } +{% else %} + // This type doesn't have a 'name' property, always expect array format + if (Array.isArray(data)) { + for (const item of data) { + if (item && typeof item === "object") { + result.push({{ collection.prop.typeName.name }}.load(item as Record, context)); + } + } + } +{% endif %} return result; } From 209d933a65f22c6390c6108e97f814acf5e0b00f Mon Sep 17 00:00:00 2001 From: Seth Juarez Date: Tue, 14 Apr 2026 18:05:43 -0700 Subject: [PATCH 22/85] fix: update Rust runtime to use typed Vec fields instead of serde_json::Value accessors The emitter now generates typed fields (Vec, Vec, Vec) on the Prompty struct instead of serde_json::Value with accessor methods. Updated all call sites across the workspace: - pipeline.rs: replace as_inputs/as_outputs/as_tools with direct field access - renderers/common.rs: iterate &agent.inputs directly - tool_dispatch.rs: change ToolHandlerTrait to accept &Tool, rewrite helpers - prompty-openai wire.rs/processor.rs: typed tools, outputs, parameters - prompty-anthropic wire.rs/processor.rs: same patterns - loader_test.rs, load_vectors.rs: update test assertions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../Prompty.Core/Model/AnonymousConnection.cs | 16 +- .../Prompty.Core/Model/ApiKeyConnection.cs | 23 ++- .../Prompty.Core/Model/ArrayProperty.cs | 16 +- .../csharp/Prompty.Core/Model/AudioPart.cs | 18 +- runtime/csharp/Prompty.Core/Model/Binding.cs | 16 +- .../csharp/Prompty.Core/Model/Connection.cs | 13 +- .../csharp/Prompty.Core/Model/ContentPart.cs | 9 +- .../csharp/Prompty.Core/Model/CustomTool.cs | 23 ++- .../csharp/Prompty.Core/Model/ErrorChunk.cs | 16 +- runtime/csharp/Prompty.Core/Model/FilePart.cs | 18 +- .../csharp/Prompty.Core/Model/FormatConfig.cs | 13 +- .../Prompty.Core/Model/FoundryConnection.cs | 20 ++- .../csharp/Prompty.Core/Model/FunctionTool.cs | 18 +- .../Prompty.Core/Model/GuardrailResult.cs | 13 +- .../csharp/Prompty.Core/Model/ImagePart.cs | 20 ++- .../Prompty.Core/Model/McpApprovalMode.cs | 13 +- runtime/csharp/Prompty.Core/Model/McpTool.cs | 34 ++-- runtime/csharp/Prompty.Core/Model/Message.cs | 18 +- runtime/csharp/Prompty.Core/Model/Model.cs | 17 +- .../csharp/Prompty.Core/Model/ModelInfo.cs | 21 ++- .../csharp/Prompty.Core/Model/ModelOptions.cs | 22 ++- .../Prompty.Core/Model/OAuthConnection.cs | 39 ++--- .../Prompty.Core/Model/ObjectProperty.cs | 16 +- .../csharp/Prompty.Core/Model/OpenApiTool.cs | 23 ++- .../csharp/Prompty.Core/Model/ParserConfig.cs | 11 +- runtime/csharp/Prompty.Core/Model/Prompty.cs | 32 +++- .../csharp/Prompty.Core/Model/PromptyTool.cs | 18 +- runtime/csharp/Prompty.Core/Model/Property.cs | 26 ++- .../Prompty.Core/Model/ReferenceConnection.cs | 18 +- .../Prompty.Core/Model/RemoteConnection.cs | 23 ++- .../csharp/Prompty.Core/Model/StreamChunk.cs | 9 +- runtime/csharp/Prompty.Core/Model/Template.cs | 16 +- .../csharp/Prompty.Core/Model/TextChunk.cs | 16 +- runtime/csharp/Prompty.Core/Model/TextPart.cs | 16 +- .../Prompty.Core/Model/ThinkingChunk.cs | 16 +- runtime/csharp/Prompty.Core/Model/Tool.cs | 20 ++- runtime/csharp/Prompty.Core/Model/ToolCall.cs | 23 ++- .../csharp/Prompty.Core/Model/ToolChunk.cs | 16 +- .../csharp/Prompty.Core/Model/ToolResult.cs | 9 +- .../rust/prompty-anthropic/src/processor.rs | 2 +- runtime/rust/prompty-anthropic/src/wire.rs | 38 ++-- runtime/rust/prompty-openai/src/processor.rs | 18 +- runtime/rust/prompty-openai/src/wire.rs | 70 ++++---- runtime/rust/prompty/src/model/message.rs | 61 +++---- runtime/rust/prompty/src/model/prompty.rs | 163 ++++++++++-------- runtime/rust/prompty/src/model/property.rs | 28 ++- runtime/rust/prompty/src/model/tool.rs | 85 ++++++--- runtime/rust/prompty/src/model/tool_result.rs | 53 +++--- runtime/rust/prompty/src/pipeline.rs | 92 ++++------ runtime/rust/prompty/src/renderers/common.rs | 14 +- runtime/rust/prompty/src/tool_dispatch.rs | 140 +++++++-------- runtime/rust/prompty/tests/load_vectors.rs | 26 +-- runtime/rust/prompty/tests/loader_test.rs | 24 +-- schema/emitter/src/rust.ts | 36 +++- .../emitter/src/templates/csharp/file.cs.njk | 6 +- schema/emitter/src/templates/rust/_macros.njk | 60 ++----- schema/emitter/src/templates/rust/file.rs.njk | 122 ++++++++++++- 57 files changed, 953 insertions(+), 809 deletions(-) diff --git a/runtime/csharp/Prompty.Core/Model/AnonymousConnection.cs b/runtime/csharp/Prompty.Core/Model/AnonymousConnection.cs index ac41b2f0..b813441a 100644 --- a/runtime/csharp/Prompty.Core/Model/AnonymousConnection.cs +++ b/runtime/csharp/Prompty.Core/Model/AnonymousConnection.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// /// -public class AnonymousConnection : Connection +public partial class AnonymousConnection : Connection { /// /// The shorthand property name for this type, if any. @@ -97,15 +97,13 @@ public AnonymousConnection() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Endpoint is not null) - { - result["endpoint"] = obj.Endpoint; - } + result["kind"] = obj.Kind; + + + + result["endpoint"] = obj.Endpoint; + return result; diff --git a/runtime/csharp/Prompty.Core/Model/ApiKeyConnection.cs b/runtime/csharp/Prompty.Core/Model/ApiKeyConnection.cs index fcda3abe..1980a49f 100644 --- a/runtime/csharp/Prompty.Core/Model/ApiKeyConnection.cs +++ b/runtime/csharp/Prompty.Core/Model/ApiKeyConnection.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// Connection configuration for AI services using API keys. /// -public class ApiKeyConnection : Connection +public partial class ApiKeyConnection : Connection { /// /// The shorthand property name for this type, if any. @@ -107,20 +107,17 @@ public ApiKeyConnection() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Endpoint is not null) - { - result["endpoint"] = obj.Endpoint; - } + result["kind"] = obj.Kind; + + + + result["endpoint"] = obj.Endpoint; + + + + result["apiKey"] = obj.ApiKey; - if (obj.ApiKey is not null) - { - result["apiKey"] = obj.ApiKey; - } return result; diff --git a/runtime/csharp/Prompty.Core/Model/ArrayProperty.cs b/runtime/csharp/Prompty.Core/Model/ArrayProperty.cs index 93aa7b7e..99ea74ac 100644 --- a/runtime/csharp/Prompty.Core/Model/ArrayProperty.cs +++ b/runtime/csharp/Prompty.Core/Model/ArrayProperty.cs @@ -10,7 +10,7 @@ namespace Prompty.Core; /// Represents an array property. /// This extends the base Property model to represent an array of items. /// -public class ArrayProperty : Property +public partial class ArrayProperty : Property { /// /// The shorthand property name for this type, if any. @@ -98,15 +98,13 @@ public ArrayProperty() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Items is not null) - { - result["items"] = obj.Items?.Save(context); - } + result["kind"] = obj.Kind; + + + + result["items"] = obj.Items?.Save(context); + return result; diff --git a/runtime/csharp/Prompty.Core/Model/AudioPart.cs b/runtime/csharp/Prompty.Core/Model/AudioPart.cs index 850d036e..6ad9ead9 100644 --- a/runtime/csharp/Prompty.Core/Model/AudioPart.cs +++ b/runtime/csharp/Prompty.Core/Model/AudioPart.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// An audio content part. The source may be a URL or base64-encoded data. /// -public class AudioPart : ContentPart +public partial class AudioPart : ContentPart { /// /// The shorthand property name for this type, if any. @@ -107,15 +107,14 @@ public AudioPart() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Source is not null) - { - result["source"] = obj.Source; - } + result["kind"] = obj.Kind; + + + + result["source"] = obj.Source; + + if (obj.MediaType is not null) { @@ -123,6 +122,7 @@ public AudioPart() } + return result; } diff --git a/runtime/csharp/Prompty.Core/Model/Binding.cs b/runtime/csharp/Prompty.Core/Model/Binding.cs index ce9d737f..dc493c44 100644 --- a/runtime/csharp/Prompty.Core/Model/Binding.cs +++ b/runtime/csharp/Prompty.Core/Model/Binding.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// Represents a binding between an input property and a tool parameter. /// -public class Binding +public partial class Binding { /// /// The shorthand property name for this type, if any. @@ -98,15 +98,13 @@ public static Binding Load(Dictionary data, LoadContext? contex var result = new Dictionary(); - if (obj.Name is not null) - { - result["name"] = obj.Name; - } - if (obj.Input is not null) - { - result["input"] = obj.Input; - } + result["name"] = obj.Name; + + + + result["input"] = obj.Input; + if (context is not null) diff --git a/runtime/csharp/Prompty.Core/Model/Connection.cs b/runtime/csharp/Prompty.Core/Model/Connection.cs index d82a7512..c98366cc 100644 --- a/runtime/csharp/Prompty.Core/Model/Connection.cs +++ b/runtime/csharp/Prompty.Core/Model/Connection.cs @@ -11,7 +11,7 @@ namespace Prompty.Core; /// `provider`, `kind`, and `endpoint` are required properties here, /// but this section can accept additional via options. /// -public abstract class Connection +public abstract partial class Connection { /// /// The shorthand property name for this type, if any. @@ -133,22 +133,25 @@ private static Connection LoadKind(Dictionary data, LoadContext var result = new Dictionary(); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } + + result["kind"] = obj.Kind; + + if (obj.AuthenticationMode is not null) { result["authenticationMode"] = obj.AuthenticationMode; } + + if (obj.UsageDescription is not null) { result["usageDescription"] = obj.UsageDescription; } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/ContentPart.cs b/runtime/csharp/Prompty.Core/Model/ContentPart.cs index 4d452c7f..51d4631f 100644 --- a/runtime/csharp/Prompty.Core/Model/ContentPart.cs +++ b/runtime/csharp/Prompty.Core/Model/ContentPart.cs @@ -10,7 +10,7 @@ namespace Prompty.Core; /// A part of a message's content. Content parts are discriminated on the `kind` /// field and represent the different modalities that can appear in a message. /// -public abstract class ContentPart +public abstract partial class ContentPart { /// /// The shorthand property name for this type, if any. @@ -110,10 +110,9 @@ private static ContentPart LoadKind(Dictionary data, LoadContex var result = new Dictionary(); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } + + result["kind"] = obj.Kind; + if (context is not null) diff --git a/runtime/csharp/Prompty.Core/Model/CustomTool.cs b/runtime/csharp/Prompty.Core/Model/CustomTool.cs index dc6f88ba..c9499d13 100644 --- a/runtime/csharp/Prompty.Core/Model/CustomTool.cs +++ b/runtime/csharp/Prompty.Core/Model/CustomTool.cs @@ -13,7 +13,7 @@ namespace Prompty.Core; /// This tool kind is ideal for tasks that involve complex computations or access to secure resources /// Server tools can be used to offload heavy processing from client applications /// -public class CustomTool : Tool +public partial class CustomTool : Tool { /// /// The shorthand property name for this type, if any. @@ -111,20 +111,17 @@ public CustomTool() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Connection is not null) - { - result["connection"] = obj.Connection?.Save(context); - } + result["kind"] = obj.Kind; + + + + result["connection"] = obj.Connection?.Save(context); + + + + result["options"] = obj.Options; - if (obj.Options is not null) - { - result["options"] = obj.Options; - } return result; diff --git a/runtime/csharp/Prompty.Core/Model/ErrorChunk.cs b/runtime/csharp/Prompty.Core/Model/ErrorChunk.cs index fed34c4d..53e5b09f 100644 --- a/runtime/csharp/Prompty.Core/Model/ErrorChunk.cs +++ b/runtime/csharp/Prompty.Core/Model/ErrorChunk.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// An error chunk from the LLM response stream. /// -public class ErrorChunk : StreamChunk +public partial class ErrorChunk : StreamChunk { /// /// The shorthand property name for this type, if any. @@ -97,15 +97,13 @@ public ErrorChunk() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Message is not null) - { - result["message"] = obj.Message; - } + result["kind"] = obj.Kind; + + + + result["message"] = obj.Message; + return result; diff --git a/runtime/csharp/Prompty.Core/Model/FilePart.cs b/runtime/csharp/Prompty.Core/Model/FilePart.cs index 7f3e5a53..986026ff 100644 --- a/runtime/csharp/Prompty.Core/Model/FilePart.cs +++ b/runtime/csharp/Prompty.Core/Model/FilePart.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// A file content part. The source may be a URL or base64-encoded data. /// -public class FilePart : ContentPart +public partial class FilePart : ContentPart { /// /// The shorthand property name for this type, if any. @@ -107,15 +107,14 @@ public FilePart() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Source is not null) - { - result["source"] = obj.Source; - } + result["kind"] = obj.Kind; + + + + result["source"] = obj.Source; + + if (obj.MediaType is not null) { @@ -123,6 +122,7 @@ public FilePart() } + return result; } diff --git a/runtime/csharp/Prompty.Core/Model/FormatConfig.cs b/runtime/csharp/Prompty.Core/Model/FormatConfig.cs index 4fe7ed5d..701a5baa 100644 --- a/runtime/csharp/Prompty.Core/Model/FormatConfig.cs +++ b/runtime/csharp/Prompty.Core/Model/FormatConfig.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// Template format definition /// -public class FormatConfig +public partial class FormatConfig { /// /// The shorthand property name for this type, if any. @@ -108,22 +108,25 @@ public static FormatConfig Load(Dictionary data, LoadContext? c var result = new Dictionary(); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } + + result["kind"] = obj.Kind; + + if (obj.Strict is not null) { result["strict"] = obj.Strict; } + + if (obj.Options is not null) { result["options"] = obj.Options; } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/FoundryConnection.cs b/runtime/csharp/Prompty.Core/Model/FoundryConnection.cs index 2402c861..5095166c 100644 --- a/runtime/csharp/Prompty.Core/Model/FoundryConnection.cs +++ b/runtime/csharp/Prompty.Core/Model/FoundryConnection.cs @@ -11,7 +11,7 @@ namespace Prompty.Core; /// Provides project-scoped access to models, tools, and services /// via Entra ID (DefaultAzureCredential) authentication. /// -public class FoundryConnection : Connection +public partial class FoundryConnection : Connection { /// /// The shorthand property name for this type, if any. @@ -119,27 +119,29 @@ public FoundryConnection() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Endpoint is not null) - { - result["endpoint"] = obj.Endpoint; - } + result["kind"] = obj.Kind; + + + + result["endpoint"] = obj.Endpoint; + + if (obj.Name is not null) { result["name"] = obj.Name; } + + if (obj.ConnectionType is not null) { result["connectionType"] = obj.ConnectionType; } + return result; } diff --git a/runtime/csharp/Prompty.Core/Model/FunctionTool.cs b/runtime/csharp/Prompty.Core/Model/FunctionTool.cs index 6ff23ec5..a9ef2a5e 100644 --- a/runtime/csharp/Prompty.Core/Model/FunctionTool.cs +++ b/runtime/csharp/Prompty.Core/Model/FunctionTool.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// Represents a local function tool. /// -public class FunctionTool : Tool +public partial class FunctionTool : Tool { /// /// The shorthand property name for this type, if any. @@ -161,15 +161,14 @@ public static IList LoadParameters(object data, LoadContext? context) var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Parameters is not null) - { - result["parameters"] = SaveParameters(obj.Parameters, context); - } + result["kind"] = obj.Kind; + + + + result["parameters"] = SaveParameters(obj.Parameters, context); + + if (obj.Strict is not null) { @@ -177,6 +176,7 @@ public static IList LoadParameters(object data, LoadContext? context) } + return result; } diff --git a/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs b/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs index 86ea5f51..351c08c7 100644 --- a/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs +++ b/runtime/csharp/Prompty.Core/Model/GuardrailResult.cs @@ -11,7 +11,7 @@ namespace Prompty.Core; /// run at specific phases of the agent loop and can allow, deny, or rewrite /// content. /// -public class GuardrailResult +public partial class GuardrailResult { /// /// The shorthand property name for this type, if any. @@ -108,22 +108,25 @@ public static GuardrailResult Load(Dictionary data, LoadContext var result = new Dictionary(); - if (obj.Allowed is not null) - { - result["allowed"] = obj.Allowed; - } + + result["allowed"] = obj.Allowed; + + if (obj.Reason is not null) { result["reason"] = obj.Reason; } + + if (obj.Rewrite is not null) { result["rewrite"] = obj.Rewrite; } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/ImagePart.cs b/runtime/csharp/Prompty.Core/Model/ImagePart.cs index 24920ffe..c1d498a6 100644 --- a/runtime/csharp/Prompty.Core/Model/ImagePart.cs +++ b/runtime/csharp/Prompty.Core/Model/ImagePart.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// An image content part. The source may be a URL or base64-encoded data. /// -public class ImagePart : ContentPart +public partial class ImagePart : ContentPart { /// /// The shorthand property name for this type, if any. @@ -117,27 +117,29 @@ public ImagePart() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Source is not null) - { - result["source"] = obj.Source; - } + result["kind"] = obj.Kind; + + + + result["source"] = obj.Source; + + if (obj.Detail is not null) { result["detail"] = obj.Detail; } + + if (obj.MediaType is not null) { result["mediaType"] = obj.MediaType; } + return result; } diff --git a/runtime/csharp/Prompty.Core/Model/McpApprovalMode.cs b/runtime/csharp/Prompty.Core/Model/McpApprovalMode.cs index f7e7716b..794cd01c 100644 --- a/runtime/csharp/Prompty.Core/Model/McpApprovalMode.cs +++ b/runtime/csharp/Prompty.Core/Model/McpApprovalMode.cs @@ -11,7 +11,7 @@ namespace Prompty.Core; /// When kind is "specify", use alwaysRequireApprovalTools and neverRequireApprovalTools /// to control per-tool approval. For "always" and "never", those fields are ignored. /// -public class McpApprovalMode +public partial class McpApprovalMode { /// /// The shorthand property name for this type, if any. @@ -110,22 +110,25 @@ public static McpApprovalMode Load(Dictionary data, LoadContext var result = new Dictionary(); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } + + result["kind"] = obj.Kind; + + if (obj.AlwaysRequireApprovalTools is not null) { result["alwaysRequireApprovalTools"] = obj.AlwaysRequireApprovalTools; } + + if (obj.NeverRequireApprovalTools is not null) { result["neverRequireApprovalTools"] = obj.NeverRequireApprovalTools; } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/McpTool.cs b/runtime/csharp/Prompty.Core/Model/McpTool.cs index 656a1c4a..06968090 100644 --- a/runtime/csharp/Prompty.Core/Model/McpTool.cs +++ b/runtime/csharp/Prompty.Core/Model/McpTool.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// The MCP Server tool. /// -public class McpTool : Tool +public partial class McpTool : Tool { /// /// The shorthand property name for this type, if any. @@ -137,30 +137,29 @@ public McpTool() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Connection is not null) - { - result["connection"] = obj.Connection?.Save(context); - } + result["kind"] = obj.Kind; + + + + result["connection"] = obj.Connection?.Save(context); + + + + result["serverName"] = obj.ServerName; + - if (obj.ServerName is not null) - { - result["serverName"] = obj.ServerName; - } if (obj.ServerDescription is not null) { result["serverDescription"] = obj.ServerDescription; } - if (obj.ApprovalMode is not null) - { - result["approvalMode"] = obj.ApprovalMode?.Save(context); - } + + + result["approvalMode"] = obj.ApprovalMode?.Save(context); + + if (obj.AllowedTools is not null) { @@ -168,6 +167,7 @@ public McpTool() } + return result; } diff --git a/runtime/csharp/Prompty.Core/Model/Message.cs b/runtime/csharp/Prompty.Core/Model/Message.cs index a468de4c..cfdd7e36 100644 --- a/runtime/csharp/Prompty.Core/Model/Message.cs +++ b/runtime/csharp/Prompty.Core/Model/Message.cs @@ -10,7 +10,7 @@ namespace Prompty.Core; /// A message in a conversation. Messages have a role and a list of content parts /// representing the different modalities of the message content. /// -public class Message +public partial class Message { /// /// The shorthand property name for this type, if any. @@ -161,15 +161,14 @@ public static IList LoadParts(object data, LoadContext? context) var result = new Dictionary(); - if (obj.Role is not null) - { - result["role"] = obj.Role; - } - if (obj.Parts is not null) - { - result["parts"] = SaveParts(obj.Parts, context); - } + result["role"] = obj.Role; + + + + result["parts"] = SaveParts(obj.Parts, context); + + if (obj.Metadata is not null) { @@ -177,6 +176,7 @@ public static IList LoadParts(object data, LoadContext? context) } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/Model.cs b/runtime/csharp/Prompty.Core/Model/Model.cs index 68fcbd53..183b9f9f 100644 --- a/runtime/csharp/Prompty.Core/Model/Model.cs +++ b/runtime/csharp/Prompty.Core/Model/Model.cs @@ -11,7 +11,7 @@ namespace Prompty.Core; /// This model includes properties for specifying the model's provider, connection details, and various options. /// It allows for flexible configuration of AI models to suit different use cases and requirements. /// -public class Model +public partial class Model { /// /// The shorthand property name for this type, if any. @@ -130,32 +130,39 @@ public static Model Load(Dictionary data, LoadContext? context var result = new Dictionary(); - if (obj.Id is not null) - { - result["id"] = obj.Id; - } + + result["id"] = obj.Id; + + if (obj.Provider is not null) { result["provider"] = obj.Provider; } + + if (obj.ApiType is not null) { result["apiType"] = obj.ApiType; } + + if (obj.Connection is not null) { result["connection"] = obj.Connection?.Save(context); } + + if (obj.Options is not null) { result["options"] = obj.Options?.Save(context); } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/ModelInfo.cs b/runtime/csharp/Prompty.Core/Model/ModelInfo.cs index e5f3d0d9..8c930b71 100644 --- a/runtime/csharp/Prompty.Core/Model/ModelInfo.cs +++ b/runtime/csharp/Prompty.Core/Model/ModelInfo.cs @@ -14,7 +14,7 @@ namespace Prompty.Core; /// many fields as the provider's API supports and MAY enrich sparse results /// from a built-in lookup table of known models. /// -public class ModelInfo +public partial class ModelInfo { /// /// The shorthand property name for this type, if any. @@ -151,42 +151,53 @@ public static ModelInfo Load(Dictionary data, LoadContext? cont var result = new Dictionary(); - if (obj.Id is not null) - { - result["id"] = obj.Id; - } + + result["id"] = obj.Id; + + if (obj.DisplayName is not null) { result["displayName"] = obj.DisplayName; } + + if (obj.OwnedBy is not null) { result["ownedBy"] = obj.OwnedBy; } + + if (obj.ContextWindow is not null) { result["contextWindow"] = obj.ContextWindow; } + + if (obj.InputModalities is not null) { result["inputModalities"] = obj.InputModalities; } + + if (obj.OutputModalities is not null) { result["outputModalities"] = obj.OutputModalities; } + + if (obj.AdditionalProperties is not null) { result["additionalProperties"] = obj.AdditionalProperties; } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/ModelOptions.cs b/runtime/csharp/Prompty.Core/Model/ModelOptions.cs index c22159c9..5a38158a 100644 --- a/runtime/csharp/Prompty.Core/Model/ModelOptions.cs +++ b/runtime/csharp/Prompty.Core/Model/ModelOptions.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// Options for configuring the behavior of the AI model. /// -public class ModelOptions +public partial class ModelOptions { /// /// The shorthand property name for this type, if any. @@ -176,57 +176,77 @@ public static ModelOptions Load(Dictionary data, LoadContext? c var result = new Dictionary(); + if (obj.FrequencyPenalty is not null) { result["frequencyPenalty"] = obj.FrequencyPenalty; } + + if (obj.MaxOutputTokens is not null) { result["maxOutputTokens"] = obj.MaxOutputTokens; } + + if (obj.PresencePenalty is not null) { result["presencePenalty"] = obj.PresencePenalty; } + + if (obj.Seed is not null) { result["seed"] = obj.Seed; } + + if (obj.Temperature is not null) { result["temperature"] = obj.Temperature; } + + if (obj.TopK is not null) { result["topK"] = obj.TopK; } + + if (obj.TopP is not null) { result["topP"] = obj.TopP; } + + if (obj.StopSequences is not null) { result["stopSequences"] = obj.StopSequences; } + + if (obj.AllowMultipleToolCalls is not null) { result["allowMultipleToolCalls"] = obj.AllowMultipleToolCalls; } + + if (obj.AdditionalProperties is not null) { result["additionalProperties"] = obj.AdditionalProperties; } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/OAuthConnection.cs b/runtime/csharp/Prompty.Core/Model/OAuthConnection.cs index 6b1a94ed..05c0a58e 100644 --- a/runtime/csharp/Prompty.Core/Model/OAuthConnection.cs +++ b/runtime/csharp/Prompty.Core/Model/OAuthConnection.cs @@ -11,7 +11,7 @@ namespace Prompty.Core; /// Useful for tools and services that require OAuth authentication, /// such as MCP servers, OpenAPI endpoints, or other REST APIs. /// -public class OAuthConnection : Connection +public partial class OAuthConnection : Connection { /// /// The shorthand property name for this type, if any. @@ -139,30 +139,26 @@ public OAuthConnection() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Endpoint is not null) - { - result["endpoint"] = obj.Endpoint; - } + result["kind"] = obj.Kind; - if (obj.ClientId is not null) - { - result["clientId"] = obj.ClientId; - } - if (obj.ClientSecret is not null) - { - result["clientSecret"] = obj.ClientSecret; - } - if (obj.TokenUrl is not null) - { - result["tokenUrl"] = obj.TokenUrl; - } + result["endpoint"] = obj.Endpoint; + + + + result["clientId"] = obj.ClientId; + + + + result["clientSecret"] = obj.ClientSecret; + + + + result["tokenUrl"] = obj.TokenUrl; + + if (obj.Scopes is not null) { @@ -170,6 +166,7 @@ public OAuthConnection() } + return result; } diff --git a/runtime/csharp/Prompty.Core/Model/ObjectProperty.cs b/runtime/csharp/Prompty.Core/Model/ObjectProperty.cs index 4bb6ee0d..92b03103 100644 --- a/runtime/csharp/Prompty.Core/Model/ObjectProperty.cs +++ b/runtime/csharp/Prompty.Core/Model/ObjectProperty.cs @@ -10,7 +10,7 @@ namespace Prompty.Core; /// Represents an object property. /// This extends the base Property model to represent a structured object. /// -public class ObjectProperty : Property +public partial class ObjectProperty : Property { /// /// The shorthand property name for this type, if any. @@ -152,15 +152,13 @@ public static IList LoadProperties(object data, LoadContext? context) var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Properties is not null) - { - result["properties"] = SaveProperties(obj.Properties, context); - } + result["kind"] = obj.Kind; + + + + result["properties"] = SaveProperties(obj.Properties, context); + return result; diff --git a/runtime/csharp/Prompty.Core/Model/OpenApiTool.cs b/runtime/csharp/Prompty.Core/Model/OpenApiTool.cs index f1f8d0da..7eedd141 100644 --- a/runtime/csharp/Prompty.Core/Model/OpenApiTool.cs +++ b/runtime/csharp/Prompty.Core/Model/OpenApiTool.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// /// -public class OpenApiTool : Tool +public partial class OpenApiTool : Tool { /// /// The shorthand property name for this type, if any. @@ -107,20 +107,17 @@ public OpenApiTool() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Connection is not null) - { - result["connection"] = obj.Connection?.Save(context); - } + result["kind"] = obj.Kind; + + + + result["connection"] = obj.Connection?.Save(context); + + + + result["specification"] = obj.Specification; - if (obj.Specification is not null) - { - result["specification"] = obj.Specification; - } return result; diff --git a/runtime/csharp/Prompty.Core/Model/ParserConfig.cs b/runtime/csharp/Prompty.Core/Model/ParserConfig.cs index 78854d8c..98cd69b2 100644 --- a/runtime/csharp/Prompty.Core/Model/ParserConfig.cs +++ b/runtime/csharp/Prompty.Core/Model/ParserConfig.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// Template parser definition /// -public class ParserConfig +public partial class ParserConfig { /// /// The shorthand property name for this type, if any. @@ -98,10 +98,10 @@ public static ParserConfig Load(Dictionary data, LoadContext? c var result = new Dictionary(); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } + + result["kind"] = obj.Kind; + + if (obj.Options is not null) { @@ -109,6 +109,7 @@ public static ParserConfig Load(Dictionary data, LoadContext? c } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/Prompty.cs b/runtime/csharp/Prompty.Core/Model/Prompty.cs index c0ded05e..c67078ee 100644 --- a/runtime/csharp/Prompty.Core/Model/Prompty.cs +++ b/runtime/csharp/Prompty.Core/Model/Prompty.cs @@ -14,7 +14,7 @@ namespace Prompty.Core; /// This is the single root type for the Prompty schema — there is no abstract base /// class or kind discriminator. A .prompty file always produces a Prompty instance. /// -public class Prompty +public partial class Prompty { /// /// The shorthand property name for this type, if any. @@ -343,57 +343,71 @@ public static IList LoadTools(object data, LoadContext? context) var result = new Dictionary(); - if (obj.Name is not null) - { - result["name"] = obj.Name; - } + + result["name"] = obj.Name; + + if (obj.DisplayName is not null) { result["displayName"] = obj.DisplayName; } + + if (obj.Description is not null) { result["description"] = obj.Description; } + + if (obj.Metadata is not null) { result["metadata"] = obj.Metadata; } + + if (obj.Inputs is not null) { result["inputs"] = SaveInputs(obj.Inputs, context); } + + if (obj.Outputs is not null) { result["outputs"] = SaveOutputs(obj.Outputs, context); } - if (obj.Model is not null) - { - result["model"] = obj.Model?.Save(context); - } + + + result["model"] = obj.Model?.Save(context); + + if (obj.Tools is not null) { result["tools"] = SaveTools(obj.Tools, context); } + + if (obj.Template is not null) { result["template"] = obj.Template?.Save(context); } + + if (obj.Instructions is not null) { result["instructions"] = obj.Instructions; } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/PromptyTool.cs b/runtime/csharp/Prompty.Core/Model/PromptyTool.cs index abebc39a..0db49141 100644 --- a/runtime/csharp/Prompty.Core/Model/PromptyTool.cs +++ b/runtime/csharp/Prompty.Core/Model/PromptyTool.cs @@ -13,7 +13,7 @@ namespace Prompty.Core; /// executed with a single LLM call (invoke). In `agentic` mode, the child /// runs as a sub-agent via `turn()` with its own tool-calling loop. /// -public class PromptyTool : Tool +public partial class PromptyTool : Tool { /// /// The shorthand property name for this type, if any. @@ -111,15 +111,14 @@ public PromptyTool() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Path is not null) - { - result["path"] = obj.Path; - } + result["kind"] = obj.Kind; + + + + result["path"] = obj.Path; + + if (obj.Mode is not null) { @@ -127,6 +126,7 @@ public PromptyTool() } + return result; } diff --git a/runtime/csharp/Prompty.Core/Model/Property.cs b/runtime/csharp/Prompty.Core/Model/Property.cs index 12b87238..ffbff264 100644 --- a/runtime/csharp/Prompty.Core/Model/Property.cs +++ b/runtime/csharp/Prompty.Core/Model/Property.cs @@ -14,7 +14,7 @@ namespace Prompty.Core; /// - It allows for the definition of dynamic inputs that can be filled with data /// and processed to generate prompts for AI models. /// -public class Property +public partial class Property { /// /// The shorthand property name for this type, if any. @@ -174,42 +174,50 @@ private static Property LoadKind(Dictionary data, LoadContext? var result = new Dictionary(); - if (obj.Name is not null) - { - result["name"] = obj.Name; - } - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } + result["name"] = obj.Name; + + + + result["kind"] = obj.Kind; + + if (obj.Description is not null) { result["description"] = obj.Description; } + + if (obj.Required is not null) { result["required"] = obj.Required; } + + if (obj.Default is not null) { result["default"] = obj.Default; } + + if (obj.Example is not null) { result["example"] = obj.Example; } + + if (obj.EnumValues is not null) { result["enumValues"] = obj.EnumValues; } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/ReferenceConnection.cs b/runtime/csharp/Prompty.Core/Model/ReferenceConnection.cs index eedd0d30..0bb848fe 100644 --- a/runtime/csharp/Prompty.Core/Model/ReferenceConnection.cs +++ b/runtime/csharp/Prompty.Core/Model/ReferenceConnection.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// Connection configuration for AI services using named connections. /// -public class ReferenceConnection : Connection +public partial class ReferenceConnection : Connection { /// /// The shorthand property name for this type, if any. @@ -107,15 +107,14 @@ public ReferenceConnection() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Name is not null) - { - result["name"] = obj.Name; - } + result["kind"] = obj.Kind; + + + + result["name"] = obj.Name; + + if (obj.Target is not null) { @@ -123,6 +122,7 @@ public ReferenceConnection() } + return result; } diff --git a/runtime/csharp/Prompty.Core/Model/RemoteConnection.cs b/runtime/csharp/Prompty.Core/Model/RemoteConnection.cs index 90c6e617..b8c6f48b 100644 --- a/runtime/csharp/Prompty.Core/Model/RemoteConnection.cs +++ b/runtime/csharp/Prompty.Core/Model/RemoteConnection.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// Connection configuration for AI services using named connections. /// -public class RemoteConnection : Connection +public partial class RemoteConnection : Connection { /// /// The shorthand property name for this type, if any. @@ -107,20 +107,17 @@ public RemoteConnection() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Name is not null) - { - result["name"] = obj.Name; - } + result["kind"] = obj.Kind; + + + + result["name"] = obj.Name; + + + + result["endpoint"] = obj.Endpoint; - if (obj.Endpoint is not null) - { - result["endpoint"] = obj.Endpoint; - } return result; diff --git a/runtime/csharp/Prompty.Core/Model/StreamChunk.cs b/runtime/csharp/Prompty.Core/Model/StreamChunk.cs index b8edc9ff..60eb20a9 100644 --- a/runtime/csharp/Prompty.Core/Model/StreamChunk.cs +++ b/runtime/csharp/Prompty.Core/Model/StreamChunk.cs @@ -10,7 +10,7 @@ namespace Prompty.Core; /// A chunk of data from a streaming LLM response. Stream chunks are /// discriminated on the `kind` field. /// -public abstract class StreamChunk +public abstract partial class StreamChunk { /// /// The shorthand property name for this type, if any. @@ -110,10 +110,9 @@ private static StreamChunk LoadKind(Dictionary data, LoadContex var result = new Dictionary(); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } + + result["kind"] = obj.Kind; + if (context is not null) diff --git a/runtime/csharp/Prompty.Core/Model/Template.cs b/runtime/csharp/Prompty.Core/Model/Template.cs index c356d8c5..770a7eb9 100644 --- a/runtime/csharp/Prompty.Core/Model/Template.cs +++ b/runtime/csharp/Prompty.Core/Model/Template.cs @@ -16,7 +16,7 @@ namespace Prompty.Core; /// It allows for the creation of reusable templates that can be filled with dynamic data /// and processed to generate prompts for AI models. /// -public class Template +public partial class Template { /// /// The shorthand property name for this type, if any. @@ -103,15 +103,13 @@ public static Template Load(Dictionary data, LoadContext? conte var result = new Dictionary(); - if (obj.Format is not null) - { - result["format"] = obj.Format?.Save(context); - } - if (obj.Parser is not null) - { - result["parser"] = obj.Parser?.Save(context); - } + result["format"] = obj.Format?.Save(context); + + + + result["parser"] = obj.Parser?.Save(context); + if (context is not null) diff --git a/runtime/csharp/Prompty.Core/Model/TextChunk.cs b/runtime/csharp/Prompty.Core/Model/TextChunk.cs index 2d555945..6a6855d6 100644 --- a/runtime/csharp/Prompty.Core/Model/TextChunk.cs +++ b/runtime/csharp/Prompty.Core/Model/TextChunk.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// A text content chunk from the LLM response stream. /// -public class TextChunk : StreamChunk +public partial class TextChunk : StreamChunk { /// /// The shorthand property name for this type, if any. @@ -97,15 +97,13 @@ public TextChunk() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Value is not null) - { - result["value"] = obj.Value; - } + result["kind"] = obj.Kind; + + + + result["value"] = obj.Value; + return result; diff --git a/runtime/csharp/Prompty.Core/Model/TextPart.cs b/runtime/csharp/Prompty.Core/Model/TextPart.cs index d3903ddb..063d18ee 100644 --- a/runtime/csharp/Prompty.Core/Model/TextPart.cs +++ b/runtime/csharp/Prompty.Core/Model/TextPart.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// A text content part. /// -public class TextPart : ContentPart +public partial class TextPart : ContentPart { /// /// The shorthand property name for this type, if any. @@ -97,15 +97,13 @@ public TextPart() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Value is not null) - { - result["value"] = obj.Value; - } + result["kind"] = obj.Kind; + + + + result["value"] = obj.Value; + return result; diff --git a/runtime/csharp/Prompty.Core/Model/ThinkingChunk.cs b/runtime/csharp/Prompty.Core/Model/ThinkingChunk.cs index ed86a2b2..06a9ce7e 100644 --- a/runtime/csharp/Prompty.Core/Model/ThinkingChunk.cs +++ b/runtime/csharp/Prompty.Core/Model/ThinkingChunk.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// A thinking/reasoning content chunk from the LLM response stream. /// -public class ThinkingChunk : StreamChunk +public partial class ThinkingChunk : StreamChunk { /// /// The shorthand property name for this type, if any. @@ -97,15 +97,13 @@ public ThinkingChunk() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.Value is not null) - { - result["value"] = obj.Value; - } + result["kind"] = obj.Kind; + + + + result["value"] = obj.Value; + return result; diff --git a/runtime/csharp/Prompty.Core/Model/Tool.cs b/runtime/csharp/Prompty.Core/Model/Tool.cs index 6914f08b..c05b83e0 100644 --- a/runtime/csharp/Prompty.Core/Model/Tool.cs +++ b/runtime/csharp/Prompty.Core/Model/Tool.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// Represents a tool that can be used in prompts. /// -public abstract class Tool +public abstract partial class Tool { /// /// The shorthand property name for this type, if any. @@ -193,27 +193,29 @@ private static Tool LoadKind(Dictionary data, LoadContext? cont var result = new Dictionary(); - if (obj.Name is not null) - { - result["name"] = obj.Name; - } - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } + result["name"] = obj.Name; + + + + result["kind"] = obj.Kind; + + if (obj.Description is not null) { result["description"] = obj.Description; } + + if (obj.Bindings is not null) { result["bindings"] = SaveBindings(obj.Bindings, context); } + if (context is not null) { result = context.ProcessDict(result); diff --git a/runtime/csharp/Prompty.Core/Model/ToolCall.cs b/runtime/csharp/Prompty.Core/Model/ToolCall.cs index e73393cd..3e95f4c8 100644 --- a/runtime/csharp/Prompty.Core/Model/ToolCall.cs +++ b/runtime/csharp/Prompty.Core/Model/ToolCall.cs @@ -10,7 +10,7 @@ namespace Prompty.Core; /// A tool call requested by the LLM. Contains the function name and serialized /// arguments that should be dispatched to the appropriate tool handler. /// -public class ToolCall +public partial class ToolCall { /// /// The shorthand property name for this type, if any. @@ -107,20 +107,17 @@ public static ToolCall Load(Dictionary data, LoadContext? conte var result = new Dictionary(); - if (obj.Id is not null) - { - result["id"] = obj.Id; - } - if (obj.Name is not null) - { - result["name"] = obj.Name; - } + result["id"] = obj.Id; + + + + result["name"] = obj.Name; + + + + result["arguments"] = obj.Arguments; - if (obj.Arguments is not null) - { - result["arguments"] = obj.Arguments; - } if (context is not null) diff --git a/runtime/csharp/Prompty.Core/Model/ToolChunk.cs b/runtime/csharp/Prompty.Core/Model/ToolChunk.cs index 3a46c593..f0bb00bd 100644 --- a/runtime/csharp/Prompty.Core/Model/ToolChunk.cs +++ b/runtime/csharp/Prompty.Core/Model/ToolChunk.cs @@ -9,7 +9,7 @@ namespace Prompty.Core; /// /// A tool call chunk from the LLM response stream. /// -public class ToolChunk : StreamChunk +public partial class ToolChunk : StreamChunk { /// /// The shorthand property name for this type, if any. @@ -97,15 +97,13 @@ public ToolChunk() var result = base.Save(context); - if (obj.Kind is not null) - { - result["kind"] = obj.Kind; - } - if (obj.ToolCall is not null) - { - result["toolCall"] = obj.ToolCall?.Save(context); - } + result["kind"] = obj.Kind; + + + + result["toolCall"] = obj.ToolCall?.Save(context); + return result; diff --git a/runtime/csharp/Prompty.Core/Model/ToolResult.cs b/runtime/csharp/Prompty.Core/Model/ToolResult.cs index 7a50d8ec..2e5c16c1 100644 --- a/runtime/csharp/Prompty.Core/Model/ToolResult.cs +++ b/runtime/csharp/Prompty.Core/Model/ToolResult.cs @@ -16,7 +16,7 @@ namespace Prompty.Core; /// Each language runtime SHOULD provide a static `fromText(string) -> ToolResult` /// factory in its extension file. /// -public class ToolResult +public partial class ToolResult { /// /// The shorthand property name for this type, if any. @@ -147,10 +147,9 @@ public static IList LoadParts(object data, LoadContext? context) var result = new Dictionary(); - if (obj.Parts is not null) - { - result["parts"] = SaveParts(obj.Parts, context); - } + + result["parts"] = SaveParts(obj.Parts, context); + if (context is not null) diff --git a/runtime/rust/prompty-anthropic/src/processor.rs b/runtime/rust/prompty-anthropic/src/processor.rs index e2b6770d..d4570634 100644 --- a/runtime/rust/prompty-anthropic/src/processor.rs +++ b/runtime/rust/prompty-anthropic/src/processor.rs @@ -96,7 +96,7 @@ pub fn process_response(agent: &Prompty, response: &Value) -> Result Value { apply_options(agent, &mut body); // Tools - if let Some(tools) = agent.as_tools() { - if !tools.is_empty() { - let wire_tools: Vec = tools.iter().map(tool_to_wire).collect(); - body.insert("tools".into(), json!(wire_tools)); - } + if !agent.tools.is_empty() { + let wire_tools: Vec = agent.tools.iter().map(tool_to_wire).collect(); + body.insert("tools".into(), json!(wire_tools)); } // Structured output (outputSchema → output_config) @@ -238,15 +236,14 @@ fn f32_to_json(v: f32) -> Value { /// /// Anthropic uses: `output_config: { format: { type: "json_schema", schema: {...} } }` fn output_schema_to_wire(agent: &Prompty) -> Option { - let outputs = agent.as_outputs()?; - if outputs.is_empty() { + if agent.outputs.is_empty() { return None; } let mut properties = Map::new(); let mut required = Vec::new(); - for prop in &outputs { + for prop in &agent.outputs { let kind_str = prop.kind_str(); let json_type = match kind_str { "float" | "number" => "number", @@ -341,16 +338,14 @@ fn property_to_json_schema(prop: &Property) -> Value { } } PropertyKind::Object { properties } => { - if let Some(arr) = properties.as_array() { - let ctx = prompty::model::context::LoadContext::default(); + if !properties.is_empty() { let mut nested = Map::new(); let mut req = Vec::new(); - for val in arr { - let p = Property::load_from_value(val, &ctx); + for p in properties { if p.name.is_empty() { continue; } - nested.insert(p.name.clone(), property_to_json_schema(&p)); + nested.insert(p.name.clone(), property_to_json_schema(p)); req.push(json!(p.name)); } schema.insert("properties".into(), Value::Object(nested)); @@ -367,23 +362,12 @@ fn property_to_json_schema(prop: &Property) -> Value { Value::Object(schema) } -/// Convert tool parameters (stored as serde_json::Value) to JSON Schema for `input_schema`. -fn parameters_to_json_schema(params_value: &Value) -> Value { - use prompty::model::context::LoadContext; - - let ctx = LoadContext::default(); - let params: Vec = if let Some(arr) = params_value.as_array() { - arr.iter() - .map(|v| Property::load_from_value(v, &ctx)) - .collect() - } else { - return json!({"type": "object", "properties": {}}); - }; - +/// Convert tool parameters to JSON Schema for `input_schema`. +fn parameters_to_json_schema(params: &[Property]) -> Value { let mut properties = Map::new(); let mut required = Vec::new(); - for param in ¶ms { + for param in params { properties.insert(param.name.clone(), property_to_json_schema(param)); if param.required.unwrap_or(false) { required.push(json!(param.name)); diff --git a/runtime/rust/prompty-openai/src/processor.rs b/runtime/rust/prompty-openai/src/processor.rs index 1ff82c9b..315a4e82 100644 --- a/runtime/rust/prompty-openai/src/processor.rs +++ b/runtime/rust/prompty-openai/src/processor.rs @@ -107,13 +107,11 @@ fn process_chat_completion(agent: &Prompty, choices: &[Value]) -> Result(content_str) { - return Ok(parsed); - } - // Fall through to return raw string + if !agent.outputs.is_empty() { + if let Ok(parsed) = serde_json::from_str::(content_str) { + return Ok(parsed); } + // Fall through to return raw string } Ok(Value::String(content_str.to_string())) @@ -150,11 +148,9 @@ fn process_responses_api(agent: &Prompty, response: &Value) -> Result(output_text) { - return Ok(parsed); - } + if !agent.outputs.is_empty() { + if let Ok(parsed) = serde_json::from_str::(output_text) { + return Ok(parsed); } } diff --git a/runtime/rust/prompty-openai/src/wire.rs b/runtime/rust/prompty-openai/src/wire.rs index 12564264..d3da465f 100644 --- a/runtime/rust/prompty-openai/src/wire.rs +++ b/runtime/rust/prompty-openai/src/wire.rs @@ -251,11 +251,11 @@ fn apply_options(args: &mut Map, opts: &Option) { /// Convert agent's tools to OpenAI wire format. pub fn tools_to_wire(agent: &Prompty) -> Vec { - let Some(tools) = agent.as_tools() else { + if agent.tools.is_empty() { return Vec::new(); - }; + } - tools + agent.tools .iter() .filter(|tool| matches!(tool.kind, ToolKind::Function { .. })) .map(function_tool_to_wire) @@ -277,20 +277,17 @@ fn function_tool_to_wire(tool: &Tool) -> Value { // Collect bound parameter names to strip from wire format (§7.1.3) let bound_names: std::collections::HashSet = tool - .as_bindings() - .unwrap_or_default() + .bindings .iter() .map(|b| b.name.clone()) .collect(); // Parameters → JSON Schema, filtering out bound params - if let Some(params) = parameters.as_array() { - use prompty::model::context::LoadContext; - let ctx = LoadContext::default(); - let typed_params: Vec = params + if !parameters.is_empty() { + let typed_params: Vec = parameters .iter() - .map(|v| Property::load_from_value(v, &ctx)) .filter(|p| !bound_names.contains(&p.name)) + .cloned() .collect(); let schema = parameters_to_json_schema(&typed_params); func_def.insert("parameters".to_string(), schema); @@ -336,23 +333,19 @@ fn property_to_json_schema(prop: &Property) -> Value { // When items is null/unspecified, emit bare {"type": "array"} } PropertyKind::Object { properties } => { - if let Some(arr) = properties.as_array() { - if !arr.is_empty() { - let ctx = prompty::model::context::LoadContext::default(); - let mut nested = Map::new(); - let mut req = Vec::new(); - for val in arr { - let p = Property::load_from_value(val, &ctx); - if p.name.is_empty() { - continue; - } - nested.insert(p.name.clone(), property_to_json_schema(&p)); - req.push(Value::String(p.name.clone())); + if !properties.is_empty() { + let mut nested = Map::new(); + let mut req = Vec::new(); + for p in properties { + if p.name.is_empty() { + continue; } - schema.insert("properties".to_string(), Value::Object(nested)); - schema.insert("required".to_string(), Value::Array(req)); - schema.insert("additionalProperties".to_string(), Value::Bool(false)); + nested.insert(p.name.clone(), property_to_json_schema(p)); + req.push(Value::String(p.name.clone())); } + schema.insert("properties".to_string(), Value::Object(nested)); + schema.insert("required".to_string(), Value::Array(req)); + schema.insert("additionalProperties".to_string(), Value::Bool(false)); } // When properties is empty or absent, emit bare {"type": "object"} } @@ -400,15 +393,14 @@ fn kind_to_json_type(kind: &str) -> String { // --------------------------------------------------------------------------- fn output_schema_to_wire(agent: &Prompty) -> Option { - let outputs = agent.as_outputs()?; - if outputs.is_empty() { + if agent.outputs.is_empty() { return None; } let mut properties = Map::new(); let mut required = Vec::new(); - for prop in &outputs { + for prop in &agent.outputs { properties.insert(prop.name.clone(), property_to_json_schema(prop)); if prop.required.unwrap_or(false) { required.push(Value::String(prop.name.clone())); @@ -545,11 +537,11 @@ fn apply_responses_options(args: &mut Map, opts: &Option Vec { - let Some(tools) = agent.as_tools() else { + if agent.tools.is_empty() { return Vec::new(); - }; + } - tools + agent.tools .iter() .filter(|tool| matches!(tool.kind, ToolKind::Function { .. })) .map(responses_function_tool_to_wire) @@ -573,19 +565,16 @@ fn responses_function_tool_to_wire(tool: &Tool) -> Value { // Collect bound parameter names to strip (§7.1.3) let bound_names: std::collections::HashSet = tool - .as_bindings() - .unwrap_or_default() + .bindings .iter() .map(|b| b.name.clone()) .collect(); - if let Some(params) = parameters.as_array() { - use prompty::model::context::LoadContext; - let ctx = LoadContext::default(); - let typed_params: Vec = params + if !parameters.is_empty() { + let typed_params: Vec = parameters .iter() - .map(|v| Property::load_from_value(v, &ctx)) .filter(|p| !bound_names.contains(&p.name)) + .cloned() .collect(); let schema = parameters_to_json_schema(&typed_params); obj.insert("parameters".to_string(), schema); @@ -602,15 +591,14 @@ fn responses_function_tool_to_wire(tool: &Tool) -> Value { } fn output_schema_to_responses_wire(agent: &Prompty) -> Option { - let outputs = agent.as_outputs()?; - if outputs.is_empty() { + if agent.outputs.is_empty() { return None; } let mut properties = Map::new(); let mut required = Vec::new(); - for prop in &outputs { + for prop in &agent.outputs { properties.insert(prop.name.clone(), property_to_json_schema(prop)); required.push(Value::String(prop.name.clone())); } diff --git a/runtime/rust/prompty/src/model/message.rs b/runtime/rust/prompty/src/model/message.rs index bfedc0d6..b0ac60ca 100644 --- a/runtime/rust/prompty/src/model/message.rs +++ b/runtime/rust/prompty/src/model/message.rs @@ -14,7 +14,7 @@ pub struct Message { /// The role of the message sender pub role: String, /// The content parts of the message - pub parts: serde_json::Value, + pub parts: Vec, /// Optional metadata associated with the message pub metadata: serde_json::Value, } @@ -44,7 +44,7 @@ impl Message { let value = ctx.process_input(value.clone()); Self { role: value.get("role").and_then(|v| v.as_str()).unwrap_or_default().to_string(), - parts: value.get("parts").cloned().unwrap_or(serde_json::Value::Null), + parts: value.get("parts").map(|v| Self::load_parts(v, ctx)).unwrap_or_default(), metadata: value.get("metadata").cloned().unwrap_or(serde_json::Value::Null), } } @@ -57,8 +57,8 @@ impl Message { if !self.role.is_empty() { result.insert("role".to_string(), serde_json::Value::String(self.role.clone())); } - if !self.parts.is_null() { - result.insert("parts".to_string(), self.parts.clone()); + if !self.parts.is_empty() { + result.insert("parts".to_string(), Self::save_parts(&self.parts, ctx)); } if !self.metadata.is_null() { result.insert("metadata".to_string(), self.metadata.clone()); @@ -75,44 +75,31 @@ impl Message { pub fn to_yaml(&self, ctx: &SaveContext) -> Result { serde_yaml::to_string(&self.to_value(ctx)) } - /// Returns typed `Vec` by parsing the stored JSON value. - /// Handles both array format `[{...}]` and dict format `{"name": {...}}`. - /// Returns `None` if the field is null or cannot be parsed. - pub fn as_parts(&self) -> Option> { - match &self.parts { - serde_json::Value::Array(arr) => { - Some(arr.iter().map(|v| ContentPart::load_from_value(v, &LoadContext::default())).collect()) - } - serde_json::Value::Object(obj) => { - let result: Vec = obj - .iter() - .filter_map(|(name, value)| { - if value.is_array() { - // Invalid format: skip entries with array values. - // 'parts' must be a flat list or name-keyed dict. - return None; - } - let mut v = if value.is_object() { - value.clone() - } else { - serde_json::json!({ "value": value }) - }; - if let serde_json::Value::Object(ref mut m) = v { - m.entry("name".to_string()).or_insert_with(|| serde_json::Value::String(name.clone())); - } - Some(ContentPart::load_from_value(&v, &LoadContext::default())) - }) - .collect(); - Some(result) - } - _ => None, - } - } /// Returns typed reference to the map if the field is an object. /// Returns `None` if the field is null or not an object. pub fn as_metadata_dict(&self) -> Option<&serde_json::Map> { self.metadata.as_object() } + + /// Load a collection of ContentPart from a JSON value. + /// Handles both array format `[{...}]`. + fn load_parts(data: &serde_json::Value, ctx: &LoadContext) -> Vec { + match data { + serde_json::Value::Array(arr) => { + arr.iter().map(|v| ContentPart::load_from_value(v, ctx)).collect() + } + + _ => Vec::new(), + + } + } + + /// Save a collection of ContentPart to a JSON value. + fn save_parts(items: &[ContentPart], ctx: &SaveContext) -> serde_json::Value { + + serde_json::Value::Array(items.iter().map(|item| item.to_value(ctx)).collect()) + + } } /// Helpers for [`Message`]. Implement in a separate file. pub trait MessageHelpers { diff --git a/runtime/rust/prompty/src/model/prompty.rs b/runtime/rust/prompty/src/model/prompty.rs index 5d737306..4a3867f3 100644 --- a/runtime/rust/prompty/src/model/prompty.rs +++ b/runtime/rust/prompty/src/model/prompty.rs @@ -26,13 +26,13 @@ pub struct Prompty { /// Additional metadata including authors, tags, and other arbitrary properties pub metadata: serde_json::Value, /// Input parameters that participate in template rendering - pub inputs: serde_json::Value, + pub inputs: Vec, /// Expected output format and structure - pub outputs: serde_json::Value, + pub outputs: Vec, /// AI model configuration pub model: Model, /// Tools available for extended functionality - pub tools: serde_json::Value, + pub tools: Vec, /// Template configuration for prompt rendering pub template: Option

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