From 332d7ca923f74e99c7316040804b5384d8d0d83e Mon Sep 17 00:00:00 2001 From: Rohan Awhad Date: Wed, 10 Jun 2026 13:08:31 -0400 Subject: [PATCH 1/2] refactor: remove Python implementation, promote Rust to repo root src/buzzllm/, tests/, pyproject.toml, .python-version, uv.lock, python_runtime_docker/, CLAUDE.md - Remove entire Python implementation (source, tests, packaging, Docker build) - Move rust/ contents to repo root (Cargo.toml, src/, tests/, .cargo/) - Update CI to remove working-directory: rust - Update .gitignore for Rust-only repo - Update AGENTS.md and README.md for new layout - Delete CLAUDE.md (redundant with README + AGENTS.md) - Add PRD at .dingllm/prds/v3/000_remove_python.md --- .cargo/config.toml | 2 + .dingllm/prds/v3/000_remove_python.md | 177 + .github/workflows/ci.yml | 11 - .gitignore | 13 +- .python-version | 1 - AGENTS.md | 84 +- CLAUDE.md | 97 - rust/Cargo.lock => Cargo.lock | 0 rust/Cargo.toml => Cargo.toml | 0 README.md | 15 +- pyproject.toml | 49 - python_runtime_docker/Dockerfile | 12 - python_runtime_docker/build_docker.sh | 23 - python_runtime_docker/kernel_server.py | 113 - rust/.gitignore | 1 - src/buzzllm/__init__.py | 0 src/buzzllm/llm.py | 576 ---- src/buzzllm/main.py | 195 -- src/buzzllm/prompts/__init__.py | 17 - src/buzzllm/prompts/codesearch_prompt.py | 50 - src/buzzllm/prompts/generate_prompt.py | 1 - src/buzzllm/prompts/hackhub_prompt.py | 197 -- src/buzzllm/prompts/helpful_prompt.py | 1 - src/buzzllm/prompts/replace_prompt.py | 1 - src/buzzllm/prompts/websearch_prompt.py | 5 - src/buzzllm/tools/__init__.py | 0 src/buzzllm/tools/codesearch.py | 256 -- src/buzzllm/tools/pythonexec.py | 176 - src/buzzllm/tools/utils.py | 136 - src/buzzllm/tools/websearch.py | 235 -- {rust/src => src}/lib.rs | 0 {rust/src => src}/llm.rs | 0 {rust/src => src}/main.rs | 0 {rust/src => src}/output.rs | 0 {rust/src => src}/prompts/codesearch.txt | 0 {rust/src => src}/prompts/coding.txt | 0 {rust/src => src}/prompts/generate.txt | 0 {rust/src => src}/prompts/hackhub.txt | 0 {rust/src => src}/prompts/helpful.txt | 0 {rust/src => src}/prompts/mod.rs | 0 {rust/src => src}/prompts/replace.txt | 0 {rust/src => src}/prompts/websearch.txt | 0 {rust/src => src}/providers/anthropic.rs | 0 {rust/src => src}/providers/mod.rs | 0 {rust/src => src}/providers/openai_chat.rs | 0 .../src => src}/providers/openai_responses.rs | 0 .../providers/vertexai_anthropic.rs | 0 {rust/src => src}/tools/bash.rs | 0 {rust/src => src}/tools/codesearch.rs | 0 {rust/src => src}/tools/mod.rs | 0 {rust/src => src}/tools/pythonexec.rs | 0 {rust/src => src}/tools/websearch.rs | 0 {rust/src => src}/tools/write_file.rs | 0 {rust/src => src}/types.rs | 0 tests/__init__.py | 0 tests/conftest.py | 167 - tests/e2e/__init__.py | 0 tests/e2e/test_cli.py | 256 -- tests/integration/__init__.py | 0 .../integration/test_anthropic_integration.py | 205 -- tests/integration/test_openai_integration.py | 157 - {rust/tests => tests}/test_e2e.rs | 0 {rust/tests => tests}/test_output.rs | 0 {rust/tests => tests}/test_providers.rs | 0 {rust/tests => tests}/test_tools.rs | 0 {rust/tests => tests}/test_types_prompts.rs | 0 {rust/tests => tests}/test_websearch.rs | 0 tests/unit/__init__.py | 0 tests/unit/test_codesearch.py | 187 -- tests/unit/test_llm_dataclasses.py | 114 - tests/unit/test_llm_request_args.py | 244 -- tests/unit/test_llm_stream_handlers.py | 197 -- tests/unit/test_llm_tool_messages.py | 152 - tests/unit/test_main_parse_args.py | 264 -- tests/unit/test_pythonexec.py | 186 -- tests/unit/test_utils.py | 164 - tests/unit/test_websearch.py | 237 -- uv.lock | 2891 ----------------- 78 files changed, 232 insertions(+), 7633 deletions(-) create mode 100644 .cargo/config.toml create mode 100644 .dingllm/prds/v3/000_remove_python.md delete mode 100644 .python-version delete mode 100644 CLAUDE.md rename rust/Cargo.lock => Cargo.lock (100%) rename rust/Cargo.toml => Cargo.toml (100%) delete mode 100644 pyproject.toml delete mode 100644 python_runtime_docker/Dockerfile delete mode 100755 python_runtime_docker/build_docker.sh delete mode 100644 python_runtime_docker/kernel_server.py delete mode 100644 rust/.gitignore delete mode 100644 src/buzzllm/__init__.py delete mode 100644 src/buzzllm/llm.py delete mode 100644 src/buzzllm/main.py delete mode 100644 src/buzzllm/prompts/__init__.py delete mode 100644 src/buzzllm/prompts/codesearch_prompt.py delete mode 100644 src/buzzllm/prompts/generate_prompt.py delete mode 100644 src/buzzllm/prompts/hackhub_prompt.py delete mode 100644 src/buzzllm/prompts/helpful_prompt.py delete mode 100644 src/buzzllm/prompts/replace_prompt.py delete mode 100644 src/buzzllm/prompts/websearch_prompt.py delete mode 100644 src/buzzllm/tools/__init__.py delete mode 100644 src/buzzllm/tools/codesearch.py delete mode 100644 src/buzzllm/tools/pythonexec.py delete mode 100644 src/buzzllm/tools/utils.py delete mode 100644 src/buzzllm/tools/websearch.py rename {rust/src => src}/lib.rs (100%) rename {rust/src => src}/llm.rs (100%) rename {rust/src => src}/main.rs (100%) rename {rust/src => src}/output.rs (100%) rename {rust/src => src}/prompts/codesearch.txt (100%) rename {rust/src => src}/prompts/coding.txt (100%) rename {rust/src => src}/prompts/generate.txt (100%) rename {rust/src => src}/prompts/hackhub.txt (100%) rename {rust/src => src}/prompts/helpful.txt (100%) rename {rust/src => src}/prompts/mod.rs (100%) rename {rust/src => src}/prompts/replace.txt (100%) rename {rust/src => src}/prompts/websearch.txt (100%) rename {rust/src => src}/providers/anthropic.rs (100%) rename {rust/src => src}/providers/mod.rs (100%) rename {rust/src => src}/providers/openai_chat.rs (100%) rename {rust/src => src}/providers/openai_responses.rs (100%) rename {rust/src => src}/providers/vertexai_anthropic.rs (100%) rename {rust/src => src}/tools/bash.rs (100%) rename {rust/src => src}/tools/codesearch.rs (100%) rename {rust/src => src}/tools/mod.rs (100%) rename {rust/src => src}/tools/pythonexec.rs (100%) rename {rust/src => src}/tools/websearch.rs (100%) rename {rust/src => src}/tools/write_file.rs (100%) rename {rust/src => src}/types.rs (100%) delete mode 100644 tests/__init__.py delete mode 100644 tests/conftest.py delete mode 100644 tests/e2e/__init__.py delete mode 100644 tests/e2e/test_cli.py delete mode 100644 tests/integration/__init__.py delete mode 100644 tests/integration/test_anthropic_integration.py delete mode 100644 tests/integration/test_openai_integration.py rename {rust/tests => tests}/test_e2e.rs (100%) rename {rust/tests => tests}/test_output.rs (100%) rename {rust/tests => tests}/test_providers.rs (100%) rename {rust/tests => tests}/test_tools.rs (100%) rename {rust/tests => tests}/test_types_prompts.rs (100%) rename {rust/tests => tests}/test_websearch.rs (100%) delete mode 100644 tests/unit/__init__.py delete mode 100644 tests/unit/test_codesearch.py delete mode 100644 tests/unit/test_llm_dataclasses.py delete mode 100644 tests/unit/test_llm_request_args.py delete mode 100644 tests/unit/test_llm_stream_handlers.py delete mode 100644 tests/unit/test_llm_tool_messages.py delete mode 100644 tests/unit/test_main_parse_args.py delete mode 100644 tests/unit/test_pythonexec.py delete mode 100644 tests/unit/test_utils.py delete mode 100644 tests/unit/test_websearch.py delete mode 100644 uv.lock diff --git a/.cargo/config.toml b/.cargo/config.toml new file mode 100644 index 0000000..86162a8 --- /dev/null +++ b/.cargo/config.toml @@ -0,0 +1,2 @@ +[env] +RUST_TEST_THREADS = { value = "8", force = true } diff --git a/.dingllm/prds/v3/000_remove_python.md b/.dingllm/prds/v3/000_remove_python.md new file mode 100644 index 0000000..11f35d2 --- /dev/null +++ b/.dingllm/prds/v3/000_remove_python.md @@ -0,0 +1,177 @@ +# v3: Remove Python Implementation, Promote Rust to Root + +## Goal + +Remove the Python implementation entirely and move the Rust implementation from `rust/` to the repository root. After this change, `Cargo.toml` lives at root, `src/` contains Rust source, and no Python packaging/test infrastructure remains. + +## Motivation + +The Rust port (v2) is complete and CI-tested. The Python implementation is no longer maintained — it has no CI, and the README already points users to the Rust build. Keeping both adds confusion for contributors and agents navigating the repo. + +## Plan + +### 1. Remove Python files + +Delete these tracked paths: + +| Path | What it is | +|------|-----------| +| `src/buzzllm/` | Python source (main.py, llm.py, prompts/, tools/) | +| `tests/` | Python test suite (conftest.py, unit/, integration/, e2e/) | +| `pyproject.toml` | Python packaging config | +| `.python-version` | Pins Python 3.10 for uv | +| `uv.lock` | uv lockfile | +| `python_runtime_docker/` | Docker build for Python exec tool | + +Note: `.venv/`, `build/`, `__pycache__/` are gitignored and not tracked. + +### 2. Move Rust to root + +Move these from `rust/` to repo root: + +| From | To | +|------|-----| +| `rust/Cargo.toml` | `Cargo.toml` | +| `rust/Cargo.lock` | `Cargo.lock` | +| `rust/src/` | `src/` | +| `rust/tests/` | `tests/` | +| `rust/.cargo/` | `.cargo/` | + +Delete `rust/.gitignore` (its content — `target/` — merges into root `.gitignore`). + +Use `git mv` for each to preserve history. + +### 3. Update CI + +`.github/workflows/ci.yml` — remove `working-directory: rust` from all 4 jobs (build, test, clippy, fmt) and the `workspaces: rust` from rust-cache config. + +Before: +```yaml +- uses: Swatinem/rust-cache@v2 + with: + workspaces: rust +- name: Build (debug) + run: cargo build + working-directory: rust +``` + +After: +```yaml +- uses: Swatinem/rust-cache@v2 +- name: Build (debug) + run: cargo build +``` + +### 4. Update `.gitignore` + +Replace Python-centric patterns with Rust: + +```gitignore +# Rust +target/ + +# Misc +.DS_Store +dev_scratch +.dingllm/files.txt +llm.md +``` + +### 5. Update `AGENTS.md` + +- Remove "Two implementations" framing +- Remove Python quick-reference section +- Remove Python-specific gotchas (global state, conftest, asyncio_mode) +- Remove Python layout entries +- Keep Rust commands, gotchas, and layout (updated paths: `src/` not `rust/src/`) +- Keep "Adding a new provider" / "Adding a new tool" recipes (updated for root paths) + +### 6. Update `CLAUDE.md` + +Remove or replace. Current content is mostly Python-focused (CLI examples, Python architecture, Python data flow). Options: + +- **(a) Delete** — the README and AGENTS.md already cover everything an agent needs. +- **(b) Rewrite** — trim to Rust-only architecture reference. + +Recommendation: **(a) Delete**. The README has full CLI usage, AGENTS.md has dev workflow. A third file adds maintenance burden with no new information. + +### 7. Update `README.md` + +Minimal changes: +- Install section: `cd buzzllm/rust` becomes `cd buzzllm` +- Architecture section: paths drop the `rust/` prefix (already shows `src/` without prefix) +- Python test suite reference section: remove entirely + +## Files changed (summary) + +| Action | Path | +|--------|------| +| DELETE | `src/buzzllm/` (Python source) | +| DELETE | `tests/` (Python tests) | +| DELETE | `pyproject.toml` | +| DELETE | `.python-version` | +| DELETE | `uv.lock` | +| DELETE | `python_runtime_docker/` | +| DELETE | `CLAUDE.md` | +| DELETE | `rust/` (after moving contents) | +| MOVE | `rust/Cargo.toml` -> `Cargo.toml` | +| MOVE | `rust/Cargo.lock` -> `Cargo.lock` | +| MOVE | `rust/src/` -> `src/` | +| MOVE | `rust/tests/` -> `tests/` | +| MOVE | `rust/.cargo/` -> `.cargo/` | +| EDIT | `.github/workflows/ci.yml` | +| EDIT | `.gitignore` | +| EDIT | `AGENTS.md` | +| EDIT | `README.md` | + +## Acceptance criteria + +1. `cargo build` works from repo root +2. `cargo test -- --test-threads=1` passes from repo root +3. `cargo clippy -- -D warnings` passes +4. `cargo fmt -- --check` passes +5. CI workflow runs successfully (no `working-directory` references to `rust/`) +6. No Python files remain in tracked tree (`*.py`, `pyproject.toml`, etc.) +7. `git log --follow src/main.rs` shows history through the move + +## Execution order + +``` +git stash # save current uncommitted work +git checkout -b remove-python-implementation + +# Step 1: remove Python +git rm -r src/buzzllm tests pyproject.toml .python-version uv.lock python_runtime_docker + +# Step 2: move Rust to root (git mv preserves history) +git mv rust/Cargo.toml Cargo.toml +git mv rust/Cargo.lock Cargo.lock +git mv rust/src src +git mv rust/tests tests +git mv rust/.cargo .cargo +git rm rust/.gitignore +rmdir rust # should be empty now + +# Step 3-7: edit CI, .gitignore, AGENTS.md, README.md, delete CLAUDE.md +# ... (see sections above) + +git add -A +git commit -m "refactor: remove Python implementation, promote Rust to repo root + +src/buzzllm/, tests/, pyproject.toml, .python-version, uv.lock, python_runtime_docker/ +- Remove entire Python implementation (source, tests, packaging, Docker build) +- Move rust/ contents to repo root (Cargo.toml, src/, tests/, .cargo/) +- Update CI to remove working-directory: rust +- Update .gitignore for Rust-only repo +- Update AGENTS.md and README.md for new layout +- Delete CLAUDE.md (redundant with README + AGENTS.md)" + +git stash pop # restore uncommitted work +``` + +## Not in scope + +- Adding new Rust features +- Changing the Rust code itself (only file moves) +- Modifying Cargo.toml dependencies or configuration +- Touching `.dingllm/specs/` diagrams (they already reference the Rust layout) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 4322af1..5318008 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -18,14 +18,10 @@ jobs: - uses: actions/checkout@v4 - uses: dtolnay/rust-toolchain@stable - uses: Swatinem/rust-cache@v2 - with: - workspaces: rust - name: Build (debug) run: cargo build - working-directory: rust - name: Build (release) run: cargo build --release - working-directory: rust test: name: Test @@ -34,13 +30,10 @@ jobs: - uses: actions/checkout@v4 - uses: dtolnay/rust-toolchain@stable - uses: Swatinem/rust-cache@v2 - with: - workspaces: rust - name: Install system deps run: sudo apt-get update && sudo apt-get install -y ripgrep - name: Run tests run: cargo test -- --test-threads=1 - working-directory: rust env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} @@ -53,11 +46,8 @@ jobs: with: components: clippy - uses: Swatinem/rust-cache@v2 - with: - workspaces: rust - name: Run clippy run: cargo clippy -- -D warnings - working-directory: rust fmt: name: Format @@ -69,4 +59,3 @@ jobs: components: rustfmt - name: Check formatting run: cargo fmt -- --check - working-directory: rust diff --git a/.gitignore b/.gitignore index 7cba0ac..dd61e60 100644 --- a/.gitignore +++ b/.gitignore @@ -1,13 +1,8 @@ -# Python-generated files -__pycache__/ -*.py[oc] -build/ -dist/ -wheels/ -*.egg-info +# Rust +target/ -# Virtual environments -.venv +# Misc +.DS_Store dev_scratch .dingllm/files.txt llm.md diff --git a/.python-version b/.python-version deleted file mode 100644 index c8cfe39..0000000 --- a/.python-version +++ /dev/null @@ -1 +0,0 @@ -3.10 diff --git a/AGENTS.md b/AGENTS.md index bbbd455..a01c7cb 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -1,61 +1,69 @@ # AGENTS.md -See `CLAUDE.md` for full architecture docs, provider system, and CLI usage examples. - ## Quick reference ```bash -# Install -uv venv -p 3.10 && source .venv/bin/activate && uv pip install . - -# Install with test deps -uv pip install -e ".[test]" +# Build +cargo build # debug +cargo build --release # release (~8.8 MB binary) -# Run tests -uv run pytest tests/unit -v # unit (no network/docker needed) -uv run pytest tests/integration -v # needs OPENAI_API_KEY / ANTHROPIC_API_KEY -uv run pytest tests/e2e -v # CLI smoke tests +# Test (single-threaded required) +cargo test -- --test-threads=1 -# Python exec feature requires docker container -cd python_runtime_docker && bash build_docker.sh build-python-exec && cd .. +# Lint and format +cargo clippy -- -D warnings # CI treats warnings as errors +cargo fmt -- --check # format check ``` +CI runs all four checks: build, test, clippy, fmt (`.github/workflows/ci.yml`). + ## Key gotchas -- **Global mutable state**: `utils.AVAILABLE_TOOLS` and `llm.TOOL_CALLS` are module-level dicts. The `conftest.py` autouse fixture `reset_tool_state` clears them between tests. If you add new global state to `llm.py` or `tools/`, add cleanup to that fixture. -- **Logs go to `/tmp/buzzllm.logs`**, not stdout. `logger.remove()` is called at import time in `main.py:4`, so loguru never writes to stderr. -- **asyncio_mode = "auto"** in pytest config -- no need to decorate async tests with `@pytest.mark.asyncio`. -- **Tool schema generation** derives from function docstrings + type hints via `callable_to_*_schema()` in `tools/utils.py`. Functions registered as tools **must** have a docstring with `:param` entries or schema generation will break. +- **Tests require `--test-threads=1`** — `set_current_dir` is process-global; parallel tests corrupt each other's CWD. CI enforces this. +- **Logs go to `/tmp/buzzllm.logs`**, not stdout. Controlled via `RUST_LOG` env var (e.g. `RUST_LOG=buzzllm=debug`). +- **Tool schema generation** uses the `Tool` trait's `openai_schema()` / `anthropic_schema()` methods. Each tool struct must implement both. +- **Prompt templates** are compiled in via `include_str!` in `src/prompts/mod.rs`. Adding a prompt means adding both a `.txt` file and a match arm in `get_prompt()`. +- **`pythonexec` tool needs Docker** — build the image first: `cd python_runtime_docker && bash build_docker.sh build-python-exec` +- **`codesearch` tools require `rg` (ripgrep)** — `brew install ripgrep` / `apt install ripgrep`. +- **`.cargo/config.toml`** sets `RUST_TEST_THREADS=8` (overridden by explicit `--test-threads=1` on CLI). ## Layout ``` -src/buzzllm/ - main.py # CLI entrypoint, arg parsing, tool registration, provider dispatch - llm.py # LLMOptions/RequestArgs/StreamResponse dataclasses, all provider - # make_*/handle_*/tool_call_response_to_* functions, invoke_llm loop - prompts/ # system prompt templates keyed by name (websearch, codesearch, etc.) +src/ + main.rs CLI (clap) + prompt resolution + tool registration + llm.rs invoke_llm() streaming loop, SSE parsing, tool execution + types.rs LlmOptions, RequestArgs, StreamResponse, ToolCallData + output.rs Colored stdout or SSE event format + lib.rs Crate root, re-exports + providers/ + mod.rs LlmClient trait + create_client() factory + openai_chat.rs /v1/chat/completions + openai_responses.rs /v1/responses + anthropic.rs /v1/messages + vertexai_anthropic.rs GCP Vertex AI (delegates SSE to anthropic) tools/ - utils.py # AVAILABLE_TOOLS registry, add_tool(), callable_to_*_schema() - websearch.py # search_web (DuckDuckGo + Brave fallback), scrape_webpage (crawl4ai) - codesearch.py # bash_find, bash_ripgrep, bash_read - pythonexec.py # python_execute (Docker container on port 8787) - -tests/ - conftest.py # shared fixtures, global state reset, skip markers - unit/ # fast, no network/docker - integration/ # needs real API keys in env - e2e/ # CLI subprocess tests + mod.rs Tool trait + ToolRegistry + codesearch.rs BashFind, BashRipgrep, BashRead + websearch.rs SearchWeb (DDG + Brave fallback), ScrapeWebpage + pythonexec.rs PythonExecute (Docker via bollard) + write_file.rs WriteFile (exact string replace) + bash.rs Bash (arbitrary shell commands) + prompts/ + mod.rs get_prompt() + prompt_names() + *.txt 7 prompt templates (include_str! at compile time) + +tests/ Integration/e2e tests (cargo test) ``` ## Adding a new provider -1. Add `make__request_args()`, `handle__stream_response()`, and `tool_call_response_to__messages()` in `llm.py` -2. Add entry to `provider_map` dict in `main.py:chat()` (~line 87) -3. Add the provider name to `--provider` choices in `parse_args()` (~line 40) +1. Create `src/providers/.rs` — implement `LlmClient` trait +2. Add the struct + match arm in `create_client()` in `src/providers/mod.rs` +3. Add the provider name to `value_parser` in `src/main.rs` Cli struct ## Adding a new tool -1. Create the callable in the appropriate `tools/*.py` file (must have typed params + docstring with `:param`) -2. Register with `utils.add_tool(fn)` in the relevant `elif` branch of `main.py:chat()` -3. Add `callable_to_schema(utils.AVAILABLE_TOOLS["name"])` to the tools list in the same branch +1. Create a struct implementing `Tool` trait in `src/tools/.rs` +2. Register it in the relevant prompt branch in `src/main.rs` +3. Add `mod ;` to `src/tools/mod.rs` diff --git a/CLAUDE.md b/CLAUDE.md deleted file mode 100644 index 29c627c..0000000 --- a/CLAUDE.md +++ /dev/null @@ -1,97 +0,0 @@ -# CLAUDE.md - -This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. - -## Project Overview - -BuzzLLM is a CLI gateway for LLM tasks including websearch, Python code execution, local code repository analysis, and code modifications. The project uses Python 3.10+ with UV for dependency management. - -## Essential Commands - -### Setup and Installation -```bash -uv venv -p 3.10 -source .venv/bin/activate -uv pip install . - -# For Python execution features, build Docker container: -cd python_runtime_docker && bash build_docker.sh build-python-exec && cd .. -``` - -### Running the CLI -```bash -# Basic usage -buzzllm "MODEL_NAME" "API_URL" "PROMPT" --provider PROVIDER --api-key-name API_KEY_ENV_VAR - -# Example with OpenAI -buzzllm "gpt-4o-mini" \ - "https://api.openai.com/v1/chat/completions" \ - "hello, world" \ - --provider openai-chat \ - --api-key-name OPENAI_API_KEY \ - --system-prompt "You are a helpful agent" - -# With extended thinking (Claude/OpenAI reasoning models) -buzzllm "claude-sonnet-4-20250514" \ - "https://api.anthropic.com/v1/messages" \ - "solve this problem" \ - --provider anthropic \ - --api-key-name ANTHROPIC_API_KEY \ - --think - -# SSE output mode (for programmatic consumption) -buzzllm ... -S -``` - -### System Prompt Templates -Templates with tools: -- `websearch`: Web search (`search_web`, `scrape_webpage` tools). Falls back to Brave Search if DuckDuckGo fails (needs `BRAVE_SEARCH_AI_API_KEY`) -- `codesearch`: Codebase analysis (`bash_find`, `bash_ripgrep`, `bash_read` tools) -- `pythonexec`: Python execution in Docker (`python_execute` tool) - -Templates without tools: -- `hackhub`: Search-Replace block generation for code modifications -- `generate`, `helpful`, `replace`: Other prompt templates - -## Architecture - -### Data Flow -``` -main.py (CLI args) - → chat() selects provider functions from provider_map - → invoke_llm() handles streaming request/response loop - → Tools executed via run_tools() when LLM returns tool_calls - → Results fed back to LLM until no more tool calls -``` - -### Provider System -Each provider has 4 functions in `llm.py`: -1. `make_*_request_args()`: Build request headers/body -2. `handle_*_stream_response()`: Parse SSE chunks into `StreamResponse` objects -3. `tool_call_response_to_*_messages()`: Format tool results for conversation -4. Uses `callable_to_*_schema()` from `tools/utils.py` for tool schema conversion - -Providers: -- `openai-chat`: OpenAI chat completions (also works with compatible APIs) -- `openai-responses`: OpenAI Responses API (reasoning models) -- `anthropic`: Anthropic Claude API -- `vertexai-anthropic`: Claude via Google Vertex AI (uses `gcloud auth`) - -### Tool Registration -Tools are registered dynamically in `main.py` based on `--system-prompt`: -```python -utils.add_tool(websearch.search_web) # registers to AVAILABLE_TOOLS dict -tools = [callable_to_schema(utils.AVAILABLE_TOOLS["search_web"])] -``` - -### Key Dataclasses -- `LLMOptions`: Request config (model, url, max_tokens, temperature, think, tools) -- `RequestArgs`: HTTP request data (headers, body) -- `StreamResponse`: Parsed streaming chunk (type: output_text|reasoning_content|tool_call|tool_result|...) -- `ToolCall`: Tracks tool execution state and results - -## Development Notes - -- Entry point: `buzzllm = "buzzllm.main:main"` in pyproject.toml -- Python exec container: `buzz/python-exec:latest`, uses persistent IPython kernel via socket on port 8787 -- Websearch uses crawl4ai with Playwright (auto-installs Chromium on first use) \ No newline at end of file diff --git a/rust/Cargo.lock b/Cargo.lock similarity index 100% rename from rust/Cargo.lock rename to Cargo.lock diff --git a/rust/Cargo.toml b/Cargo.toml similarity index 100% rename from rust/Cargo.toml rename to Cargo.toml diff --git a/README.md b/README.md index 5f34262..ac5be89 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ Requires Rust toolchain (1.75+). ```bash git clone https://github.com/RohanAwhad/buzzllm.git -cd buzzllm/rust +cd buzzllm cargo build --release # Binary: target/release/buzzllm (~8.8 MB) ``` @@ -201,17 +201,8 @@ See `.dingllm/specs/v2/` for C4 architecture and sequence diagrams. ## Testing -Rust tests (154 tests across 7 files): ```bash -cd rust -cargo test -- --test-threads=1 # tools tests require single-threaded CWD +cargo test -- --test-threads=1 # single-threaded required (set_current_dir is process-global) ``` -Note: `--test-threads=1` is required because `set_current_dir` is a process-global. CI enforces this. - -Python test suite (reference): -```bash -uv run pytest tests/unit -v # unit (no network/Docker) -uv run pytest tests/integration -v # needs API keys -uv run pytest tests/e2e -v # CLI smoke tests -``` +CI enforces `--test-threads=1`. diff --git a/pyproject.toml b/pyproject.toml deleted file mode 100644 index e65a9ef..0000000 --- a/pyproject.toml +++ /dev/null @@ -1,49 +0,0 @@ -[project] -name = "buzzllm" -version = "0.2.8" -description = "CLI for invoking LLMs with streaming response" -readme = "README.md" -requires-python = ">=3.10" -dependencies = [ - "requests>=2.32.4", - "httpx>=0.28.0", - "beautifulsoup4>=4.0.0", - "pydantic>=2.0.0", - "crawl4ai", - "loguru", - "tenacity", - "docker", -] - -[project.scripts] -buzzllm = "buzzllm.main:main" - -[project.optional-dependencies] -test = [ - "pytest>=8.0.0", - "pytest-asyncio>=0.24.0", - "pytest-cov>=4.1.0", - "pytest-mock>=3.12.0", - "respx>=0.21.0", - "responses>=0.25.0", -] - -[dependency-groups] -dev = [ - "ipython>=8.37.0", -] - -[tool.pytest.ini_options] -testpaths = ["tests"] -asyncio_mode = "auto" -asyncio_default_fixture_loop_scope = "function" -markers = [ - "unit: Unit tests", - "integration: Integration tests (requires API keys)", - "e2e: End-to-end CLI tests", - "docker: Tests requiring Docker", -] - -[tool.coverage.run] -source = ["src/buzzllm"] -branch = true diff --git a/python_runtime_docker/Dockerfile b/python_runtime_docker/Dockerfile deleted file mode 100644 index 50cb80a..0000000 --- a/python_runtime_docker/Dockerfile +++ /dev/null @@ -1,12 +0,0 @@ -FROM python:3.11-slim - -RUN apt-get update && \ - apt-get install -y --no-install-recommends build-essential && \ - pip install --no-cache-dir ipython ipykernel jupyter_client numpy pandas matplotlib && \ - rm -rf /var/lib/apt/lists/* - -COPY kernel_server.py /kernel_server.py - -EXPOSE 8787 - -ENTRYPOINT ["python", "/kernel_server.py"] diff --git a/python_runtime_docker/build_docker.sh b/python_runtime_docker/build_docker.sh deleted file mode 100755 index f33d639..0000000 --- a/python_runtime_docker/build_docker.sh +++ /dev/null @@ -1,23 +0,0 @@ -#!/bin/bash - -build_python_exec() { - docker build -t buzz/python-exec:latest -f Dockerfile . -} - -clean_python_exec() { - docker rmi buzz/python-exec:latest 2>/dev/null || true - docker system prune -f -} - -case "$1" in - build-python-exec) - build_python_exec - ;; - clean-python-exec) - clean_python_exec - ;; - *) - echo "Usage: $0 {build-python-exec|clean-python-exec}" - exit 1 - ;; -esac diff --git a/python_runtime_docker/kernel_server.py b/python_runtime_docker/kernel_server.py deleted file mode 100644 index 4d548bb..0000000 --- a/python_runtime_docker/kernel_server.py +++ /dev/null @@ -1,113 +0,0 @@ -import json -import socket -import traceback -import threading -import time -from jupyter_client import KernelManager - - -class KernelServer: - def __init__(self): - self.km = KernelManager() - self.km.start_kernel() - self.kc = self.km.client() - self.kc.start_channels() - - # Wait for kernel to be ready - while True: - try: - self.kc.kernel_info() - break - except Exception: - time.sleep(0.1) - - def execute(self, code): - """Execute code and return stdout, stderr, and result""" - msg_id = self.kc.execute(code) - outs, errs, result = [], [], None - - while True: - try: - msg = self.kc.get_iopub_msg(timeout=30) - - if msg['header']['msg_type'] == 'execute_result': - result = msg['content']['data'].get('text/plain', '') - elif msg['header']['msg_type'] == 'stream': - if msg['content']['name'] == 'stdout': - outs.append(msg['content']['text']) - else: - errs.append(msg['content']['text']) - elif msg['header']['msg_type'] == 'error': - errs.append('\n'.join(msg['content']['traceback'])) - elif (msg['header']['msg_type'] == 'status' and - msg['content']['execution_state'] == 'idle'): - break - - except Exception as e: - errs.append(f"Kernel error: {str(e)}") - break - - return { - 'stdout': ''.join(outs), - 'stderr': ''.join(errs), - 'result': result - } - - def handle_client(self, conn): - """Handle a single client connection""" - try: - data = conn.recv(65536) - if not data: - return - - req = json.loads(data.decode()) - code = req.get('code', '') - - if not code: - resp = {'stdout': '', 'stderr': 'No code provided', 'result': None} - else: - resp = self.execute(code) - - conn.sendall(json.dumps(resp).encode()) - - except Exception as e: - error_resp = { - 'stdout': '', - 'stderr': f'Server error: {str(e)}', - 'result': None - } - try: - conn.sendall(json.dumps(error_resp).encode()) - except: - pass - finally: - conn.close() - - def run_server(self): - """Run the kernel server""" - server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) - server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) - server_socket.bind(('0.0.0.0', 8787)) - server_socket.listen(5) - - print("Kernel server started on port 8787") - - while True: - try: - conn, addr = server_socket.accept() - # Handle each connection in a separate thread - client_thread = threading.Thread( - target=self.handle_client, - args=(conn,) - ) - client_thread.daemon = True - client_thread.start() - - except Exception as e: - print(f"Server error: {e}") - break - - -if __name__ == "__main__": - server = KernelServer() - server.run_server() diff --git a/rust/.gitignore b/rust/.gitignore deleted file mode 100644 index 2f7896d..0000000 --- a/rust/.gitignore +++ /dev/null @@ -1 +0,0 @@ -target/ diff --git a/src/buzzllm/__init__.py b/src/buzzllm/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/src/buzzllm/llm.py b/src/buzzllm/llm.py deleted file mode 100644 index 9c63881..0000000 --- a/src/buzzllm/llm.py +++ /dev/null @@ -1,576 +0,0 @@ -import asyncio -import dataclasses -import json -import os -import requests -import subprocess - -from dataclasses import dataclass -from loguru import logger -from typing import Generator, Optional, Callable, Literal, Any - -from .tools import utils - - -@dataclass -class LLMOptions: - model: str - url: str - api_key_name: Optional[str] = None - max_tokens: Optional[int] = 8192 - temperature: float = 0.8 - think: bool = False - tools: Optional[list[dict]] = None - max_infer_iters: int = 10 - - -@dataclass -class RequestArgs: - data: dict - headers: dict - - -@dataclass -class StreamResponse: - id: str - delta: str - type: Literal[ - "response_start", - "output_text", - "reasoning_content", - "tool_call", - "tool_result", - "block_end", - "response_end", - ] - - - def to_json(self): - return json.dumps(dataclasses.asdict(self)) - - -@dataclass -class ToolCall: - id: str - name: str - arguments: str - executed: bool = False - result: Any = None - - async def execute(self, func: Callable): - args = json.loads(self.arguments) - res = func(**args) - if asyncio.iscoroutine(res): - self.result = await res - else: - self.result = res - self.executed = True - - -TOOL_CALLS: dict[str, ToolCall] = {} -current_tool_call_id: str = "" - - -async def run_tools(): - tasks = [] - for tc in TOOL_CALLS.values(): - if tc.executed: - continue - tasks.append(tc.execute(utils.AVAILABLE_TOOLS[tc.name])) - - await asyncio.gather(*tasks) - - -async def invoke_llm( - opts: LLMOptions, - prompt: str, - system_prompt: str, - make_request_args: Callable, - handle_stream_response: Callable, - add_tool_response: Callable, - sse: bool, - brief: bool = False, -) -> None: - """Invoke LLM with streaming response, printing StreamResponse objects to stdout as JSON""" - - request_args = make_request_args(opts, prompt, system_prompt) - messages = request_args.data.get("messages", []) - - try: - while True: - message_started = False - # Make streaming request - response = requests.post( - opts.url, - headers=request_args.headers, - json=request_args.data, - stream=True, - timeout=900, - ) - if response.status_code != 200: logger.error(response.text) - response.raise_for_status() - - # Process streaming response - for line in response.iter_lines(decode_unicode=True): - if not line.strip(): - continue - - # Handle the streaming response - stream_responses_gen = handle_stream_response(line, message_started) - for stream_response in stream_responses_gen: - if not stream_response: - continue - if stream_response.type == "response_start": - message_started = True - print_to_stdout(stream_response, sse, brief) - - # Perform tool calls - if not TOOL_CALLS: - return - - await run_tools() - - # Print tool results - for tc in TOOL_CALLS.values(): - if tc.executed and tc.result is not None: - result_response = StreamResponse( - id=tc.id, - delta=f"\n\nTool Result ({tc.name}):\n{str(tc.result)}\n", - type="tool_result" - ) - print_to_stdout(result_response, sse, brief) - - # Add tool call and response messages - add_tool_response(messages, TOOL_CALLS) - # tool_call_response_to_openai_messages(messages, TOOL_CALLS) - request_args.data["messages"] = messages - - # Clear tool calls for next iteration - TOOL_CALLS.clear() - - - except Exception as e: - logger.exception(e) - # Print error as StreamResponse - error_response = StreamResponse( - id="", delta=f"Error: {str(e)}", type="block_end" - ) - print_to_stdout(error_response, sse, brief) - finally: - # Cleanup any running containers - try: - from .tools import pythonexec - pythonexec.cleanup_python_exec() - except ImportError: - pass - print_to_stdout(StreamResponse(id="", delta="", type="response_end"), sse, brief) - - - -def print_to_stdout(data: StreamResponse, sse: bool, brief: bool = False) -> None: - # In brief mode, skip tool calls and results - if brief and data.type in ("tool_call", "tool_result"): - return - - if sse: - # Print to stdout in SSE format - print(f"event: {data.type}") - print(f"data: {data.to_json()}") - print("", flush=True) # Empty line for SSE format - return - - # Add colors for different content types - if data.type == "tool_call": - print(f"\033[96m{data.delta}\033[0m", end="", flush=True) # Cyan - elif data.type == "tool_result": - print(f"\033[92m{data.delta}\033[0m", end="", flush=True) # Green - elif data.type == "reasoning_content": - print(f"\033[93m{data.delta}\033[0m", end="", flush=True) # Yellow - elif data.type == "block_end": - print("\n", end="", flush=True) - elif data.type == "response_end": - print("\n\n=== [ DONE ] ===") - else: - print(data.delta, end="", flush=True) - - - -# LLM Specific funcs - - -# === -# OpenAI Chat completeion api -# === -def make_openai_request_args( - opts: LLMOptions, prompt: str, system_prompt: str -) -> RequestArgs: - OPENAI_REASONING_MODELS=['gpt-5.2', 'gpt-5.1', 'gpt-5', 'gpt-5-mini', 'o4-mini', 'o3', 'o3-pro', 'gpt-5-pro'] - # json body - data = { - "messages": [ - {"role": "system", "content": system_prompt}, - {"role": "user", "content": prompt}, - ], - "model": opts.model, - "stream": True, - } - - if opts.model in OPENAI_REASONING_MODELS or opts.model.startswith('gpt-5'): - data['messages'][0]['role'] = 'developer' - data["response_format"] = {"type": "text"} - data["reasoning_effort"] = "none" if opts.model == 'gpt-5.1' and not opts.think else "high" - else: - data["temperature"] = opts.temperature - data["max_tokens"] = opts.max_tokens - - if opts.tools: - data["tools"] = opts.tools - - # headers - headers = {"Content-Type": "application/json"} - if opts.api_key_name: - api_key = os.environ.get(opts.api_key_name, None) - if api_key: - headers["Authorization"] = f"Bearer {api_key}" - - return RequestArgs(data=data, headers=headers) - - -def handle_openai_stream_response( - line: str, message_started: bool -) -> Generator[StreamResponse | None, None, None]: - - if not line.startswith("data: "): - yield None - data_content = line[len("data: ") :] # Remove 'data: ' prefix - - if data_content == "[DONE]": - yield StreamResponse(delta="", type="block_end", id="") - - try: - chunk_data = json.loads(data_content) - - # Handle response start - if not message_started and chunk_data.get("id"): - response_id = chunk_data["id"] - yield StreamResponse(id=response_id, type="response_start", delta="") - - # Handle content deltas - if not chunk_data.get("choices") or len(chunk_data["choices"]) == 0: - yield None - - choice = chunk_data["choices"][0] - delta = choice.get("delta", {}) - - # Handle regular content - if "content" in delta and delta["content"]: - yield StreamResponse(id="", delta=delta["content"], type="output_text") - - # Handle reasoning content (for o1 models) - if ("reasoning" in delta and delta["reasoning"]) or ('reasoning_content' in delta and delta['reasoning_content']): - yield StreamResponse( - id="", delta=delta["reasoning"], type="reasoning_content" - ) - - # Handle tool calls - if "tool_calls" in delta: - global current_tool_call_id - for tool_call in delta["tool_calls"]: - tool_call_content = "" - - # first chunk - create new tool call - if "id" in tool_call: - current_tool_call_id = tool_call["id"] - TOOL_CALLS[current_tool_call_id] = ToolCall( - id=current_tool_call_id, name="", arguments="", executed=False - ) - - if "function" in tool_call: - function = tool_call["function"] - - if "name" in function and function["name"]: - if current_tool_call_id in TOOL_CALLS: - TOOL_CALLS[current_tool_call_id].name = function["name"] - tool_call_content += f"\nFunction: {function['name']} " - - if "arguments" in function and function["arguments"]: - if current_tool_call_id in TOOL_CALLS: - TOOL_CALLS[current_tool_call_id].arguments += function[ - "arguments" - ] - tool_call_content += function["arguments"] - - if tool_call_content: - yield StreamResponse( - id="", delta=tool_call_content, type="tool_call" - ) - - except Exception: - yield None - - -def tool_call_response_to_openai_messages( - messages: list, tool_calls: dict[str, ToolCall] -): - if not tool_calls: - return - - # Add assistant message with tool calls - tool_calls_list = [] - for tc in tool_calls.values(): - tool_calls_list.append( - { - "id": tc.id, - "type": "function", - "function": {"name": tc.name, "arguments": tc.arguments}, - } - ) - - messages.append({"role": "assistant", "tool_calls": tool_calls_list}) - - # Add tool result messages - for tc in tool_calls.values(): - messages.append( - {"role": "tool", "tool_call_id": tc.id, "content": str(tc.result)} - ) - - -# === -# Anthropic messages api -# === - - -def make_anthropic_request_args( - opts: LLMOptions, prompt: str, system_prompt: str -) -> RequestArgs: - data = { - "system": system_prompt, - "messages": [{"role": "user", "content": prompt}], - "model": opts.model, - "stream": True, - } - - if opts.think: - data["max_tokens"] = 32000 - data["thinking"] = {"type": "enabled", "budget_tokens": 24000} - else: - data["max_tokens"] = opts.max_tokens or 8192 - - if opts.tools: - data["tools"] = opts.tools - - headers = {"Content-Type": "application/json"} - if opts.api_key_name: - api_key = os.environ.get(opts.api_key_name, None) - if api_key: - headers["x-api-key"] = api_key - headers["anthropic-version"] = "2023-06-01" - - return RequestArgs(data=data, headers=headers) - - -def handle_anthropic_stream_response( - line: str, message_started: bool -) -> Generator[StreamResponse | None, None, None]: - global current_tool_call_id - # Skip event lines, only process data lines - if line.startswith("event: "): - yield None - return - - if not line.startswith("data: "): - yield None - return - - data_content = line[len("data: ") :] - - try: - chunk_data = json.loads(data_content) - - # Handle message start - if chunk_data.get("type") == "message_start": - message_id = chunk_data.get("message", {}).get("id", "") - yield StreamResponse(id=message_id, type="response_start", delta="") - - # Handle content block start (for tool use) - elif chunk_data.get("type") == "content_block_start": - content_block = chunk_data.get("content_block", {}) - if content_block.get("type") == "tool_use": - tool_id = content_block.get("id", "") - tool_name = content_block.get("name", "") - - current_tool_call_id = tool_id - TOOL_CALLS[tool_id] = ToolCall( - id=tool_id, name=tool_name, arguments="", executed=False - ) - - tool_call_content = f"Function: {tool_name}\n" - yield StreamResponse(id="", delta=tool_call_content, type="tool_call") - - # Handle content block delta - elif chunk_data.get("type") == "content_block_delta": - delta = chunk_data.get("delta", {}) - - # Handle thinking content - if "thinking" in delta and delta["thinking"]: - yield StreamResponse( - id="", delta=delta["thinking"], type="reasoning_content" - ) - - # Handle regular text content - elif "text" in delta and delta["text"]: - yield StreamResponse(id="", delta=delta["text"], type="output_text") - - # Handle tool input JSON delta - elif "partial_json" in delta and delta["partial_json"]: - if current_tool_call_id in TOOL_CALLS: - TOOL_CALLS[current_tool_call_id].arguments += delta["partial_json"] - - yield StreamResponse( - id="", delta=delta["partial_json"], type="tool_call" - ) - - # Handle message stop - elif chunk_data.get("type") == "message_stop": - yield StreamResponse(id="", delta="", type="block_end") - - except Exception: - yield None - - -def tool_call_response_to_anthropic_messages( - messages: list, tool_calls: dict[str, ToolCall] -): - if not tool_calls: - return - - # Add assistant message with tool uses - content = [] - for tc in tool_calls.values(): - content.append( - { - "type": "tool_use", - "id": tc.id, - "name": tc.name, - "input": json.loads(tc.arguments), - } - ) - - messages.append({"role": "assistant", "content": content}) - - # Add tool result message - content = [] - for tc in tool_calls.values(): - content.append( - {"type": "tool_result", "tool_use_id": tc.id, "content": str(tc.result)} - ) - - messages.append({"role": "user", "content": content}) - - -# === -# OpenAI Responses api -# === - - -def make_openai_responses_request_args( - opts: LLMOptions, prompt: str, system_prompt: str -) -> RequestArgs: - data = { - "model": opts.model, - "input": prompt, - "stream": True, - "store": False, - "reasoning": { - "effort": "high", - "summary": "detailed" - } - } - - if system_prompt: - data["instructions"] = system_prompt - - if opts.tools: - raise NotImplementedError("Tools with OpenAI Responses API has not yet been implemented") - - headers = {"Content-Type": "application/json"} - if opts.api_key_name: - api_key = os.environ.get(opts.api_key_name, None) - if api_key: - headers["Authorization"] = f"Bearer {api_key}" - - return RequestArgs(data=data, headers=headers) - - -def handle_openai_responses_stream_response( - line: str, message_started: bool -) -> Generator[StreamResponse | None, None, None]: - if not line.startswith("data: "): - yield None - return - - data_content = line[len("data: "):] - - try: - chunk_data = json.loads(data_content) - event_type = chunk_data.get("type", "") - - # Handle response start - if event_type == "response.created": - response_id = chunk_data.get("response", {}).get("id", "") - yield StreamResponse(id=response_id, type="response_start", delta="") - - # Handle regular text content - elif event_type == "response.output_text.delta": - delta_text = chunk_data.get("delta", "") - yield StreamResponse(id="", delta=delta_text, type="output_text") - - # Handle reasoning summary content - elif event_type == "response.reasoning_summary_text.delta": - delta_text = chunk_data.get("delta", "") - yield StreamResponse(id="", delta=delta_text, type="reasoning_content") - - # Handle response completion - elif event_type == "response.completed": - yield StreamResponse(id="", delta="", type="block_end") - - except Exception: - yield None - - -def tool_call_response_to_openai_responses_messages( - messages: list, tool_calls: dict[str, ToolCall] -): - # For now, reuse the same logic as OpenAI chat completions - # This may need adjustment based on how Responses API handles conversation state - tool_call_response_to_openai_messages(messages, tool_calls) - - -# === -# Vertex AI Anthropic messages api -# === - - -def make_vertexai_anthropic_request_args( - opts: LLMOptions, prompt: str, system_prompt: str -) -> RequestArgs: - data = { - "anthropic_version": "vertex-2023-10-16", - "system": system_prompt, - "messages": [{"role": "user", "content": prompt}], - "stream": True, - } - - if opts.think: - data["max_tokens"] = 32000 - data["thinking"] = {"type": "enabled", "budget_tokens": 24000} - else: - data["max_tokens"] = opts.max_tokens or 8192 - - if opts.tools: - data["tools"] = opts.tools - - headers = {"Content-Type": "application/json"} - api_key = subprocess.run(['gcloud', 'auth', 'print-access-token'], capture_output=True, text=True) - headers["Authorization"] = f"Bearer {api_key.stdout.strip()}" - return RequestArgs(data=data, headers=headers) diff --git a/src/buzzllm/main.py b/src/buzzllm/main.py deleted file mode 100644 index 5a0951b..0000000 --- a/src/buzzllm/main.py +++ /dev/null @@ -1,195 +0,0 @@ -import argparse -import asyncio -from loguru import logger -logger.remove() -logger.add("/tmp/buzzllm.logs", rotation="10 MB", retention=5, enqueue=True) - -from .llm import ( - LLMOptions, - invoke_llm, - make_openai_request_args, - handle_openai_stream_response, - tool_call_response_to_openai_messages, - make_openai_responses_request_args, - handle_openai_responses_stream_response, - tool_call_response_to_openai_responses_messages, - make_anthropic_request_args, - handle_anthropic_stream_response, - tool_call_response_to_anthropic_messages, - make_vertexai_anthropic_request_args, -) -from .prompts import prompts -from .tools import utils, websearch, codesearch, pythonexec - - - -def parse_args(): - """Parse command line arguments""" - parser = argparse.ArgumentParser(description="Invoke LLM with streaming response") - - parser.add_argument("model", help="LLM model name") - parser.add_argument("url", help="LLM API URL") - parser.add_argument("prompt", help="User prompt") - parser.add_argument( - "--system-prompt", - default="scream at mee for not setting your system prompt", - help=f"System prompt. Use a predefined prompt name or provide your own custom system prompt text. Avaiable prompts: {', '.join(list(prompts.keys()))}", - ) - - parser.add_argument( - "--provider", - choices=["openai-chat", "openai-responses", "anthropic", "vertexai-anthropic"], - required=True, - help="LLM provider type", - ) - parser.add_argument( - "--api-key-name", required=True, help="Environment variable name for API key" - ) - parser.add_argument( - "--max-tokens", type=int, default=8192, help="Maximum tokens in response" - ) - parser.add_argument( - "--temperature", type=float, default=0.8, help="Response temperature" - ) - parser.add_argument("--think", action="store_true", help="Enable thinking mode") - parser.add_argument( - "-S", "--sse", action="store_true", help="Enable SSE mode for printing" - ) - parser.add_argument( - "-b", "--brief", action="store_true", help="Only print final output, hide tool calls and results" - ) - - return parser.parse_args() - - -async def chat( - model, - url, - prompt, - system_prompt, - provider, - api_key_name, - max_tokens, - temperature, - think, - sse, - brief, -): - """Invoke LLM with streaming response""" - - if prompt is None: - return - - original_system_prompt = system_prompt - if system_prompt in prompts: - system_prompt = prompts[system_prompt] - - provider_map = { - "openai-chat": ( - make_openai_request_args, - handle_openai_stream_response, - utils.callable_to_openai_schema, - tool_call_response_to_openai_messages, - ), - "openai-responses": ( - make_openai_responses_request_args, - handle_openai_responses_stream_response, - utils.callable_to_openai_schema, - tool_call_response_to_openai_responses_messages, - ), - "anthropic": ( - make_anthropic_request_args, - handle_anthropic_stream_response, - utils.callable_to_anthropic_schema, - tool_call_response_to_anthropic_messages, - ), - "vertexai-anthropic": ( - make_vertexai_anthropic_request_args, - handle_anthropic_stream_response, - utils.callable_to_anthropic_schema, - tool_call_response_to_anthropic_messages, - ), - } - ( - make_request_args_fn, - handle_stream_response_fn, - callable_to_schema, - add_tool_response, - ) = provider_map[provider] - - tools = None - if original_system_prompt == "websearch": - # Add websearch tools - utils.add_tool(websearch.search_web) - utils.add_tool(websearch.scrape_webpage) - # TODO: this is boilerplate need to remove this - tools = [ - callable_to_schema(utils.AVAILABLE_TOOLS["search_web"]), - callable_to_schema(utils.AVAILABLE_TOOLS["scrape_webpage"]), - ] - elif original_system_prompt == "codesearch": - utils.add_tool(codesearch.bash_find) - utils.add_tool(codesearch.bash_ripgrep) - utils.add_tool(codesearch.bash_read) - tools = [ - callable_to_schema( - utils.AVAILABLE_TOOLS["bash_find"], codesearch.bash_find_tool_desc - ), - callable_to_schema( - utils.AVAILABLE_TOOLS["bash_ripgrep"], codesearch.bash_ripgrep_tool_desc - ), - callable_to_schema(utils.AVAILABLE_TOOLS["bash_read"]), - ] - elif original_system_prompt == "pythonexec": - utils.add_tool(pythonexec.python_execute) - tools = [ - callable_to_schema(utils.AVAILABLE_TOOLS["python_execute"]), - ] - - - # Create LLM options - opts = LLMOptions( - model=model, - url=url, - api_key_name=api_key_name, - max_tokens=max_tokens, - temperature=temperature, - think=think, - tools=tools, - ) - - # Invoke LLM - this will print streaming responses to stdout - await invoke_llm( - opts, - prompt, - system_prompt, - make_request_args_fn, - handle_stream_response_fn, - add_tool_response, - sse, - brief, - ) - - -def main(): - """Main function that parses args and calls chat""" - args = parse_args() - asyncio.run( - chat( - model=args.model, - url=args.url, - prompt=args.prompt, - system_prompt=args.system_prompt, - provider=args.provider, - api_key_name=args.api_key_name, - max_tokens=args.max_tokens, - temperature=args.temperature, - think=args.think, - sse=args.sse, - brief=args.brief, - ) - ) - - -if __name__ == "__main__": - main() diff --git a/src/buzzllm/prompts/__init__.py b/src/buzzllm/prompts/__init__.py deleted file mode 100644 index 5fbffff..0000000 --- a/src/buzzllm/prompts/__init__.py +++ /dev/null @@ -1,17 +0,0 @@ -from . import ( - codesearch_prompt, - generate_prompt, - helpful_prompt, - replace_prompt, - hackhub_prompt, - websearch_prompt, -) - -prompts = { - "codesearch": codesearch_prompt.prompt, - "generate": generate_prompt.prompt, - "helpful": helpful_prompt.prompt, - "replace": replace_prompt.prompt, - "hackhub": hackhub_prompt.prompt, - "websearch": websearch_prompt.prompt, -} diff --git a/src/buzzllm/prompts/codesearch_prompt.py b/src/buzzllm/prompts/codesearch_prompt.py deleted file mode 100644 index 80aa87c..0000000 --- a/src/buzzllm/prompts/codesearch_prompt.py +++ /dev/null @@ -1,50 +0,0 @@ -prompt = """You are a codebase exploration agent. Your job is to help analyze codebases and investigate issues using systematic search techniques. - -## Core Tools -- **Fuzzy file search**: Find files by partial names/paths -- **Ripgrep/grep**: Search for patterns across the codebase -- Focus on actual code files, skip docs unless specifically needed - -## Search Methodology - -### 1. Strategic Grep Patterns -- Class definitions: `"class ClassName"` -- Class usage/instantiation: `"ClassName("` -- Function calls: `"function_name"` -- Decorator definitions: `"def decorator_name\("` -- Web routes: Look for decorators like `@webmethod`, `@app.route`, etc. - -### 2. Follow the Chain -- Start with the main component mentioned in the issue -- Find where it's defined -- Find where it's used (instantiation, function calls) -- Follow usage to understand the flow -- When you hit a dead end, try forward engineering from entry points - -### 3. Project Structure Investigation -- Check `pyproject.toml` for CLI commands and entry points -- Follow import paths systematically -- Use fuzzy find when import patterns might vary (e.g., `from package import module` vs `from package.module import function`) - -### 4. Language-Specific Focus -- Identify the primary language and focus on those files -- Skip documentation, tests, and config files unless they're specifically relevant - -## Approach -1. **Read the issue carefully** - understand what needs to be found/fixed -2. **Start with direct searches** - grep for the main components mentioned -3. **Map the relationships** - understand how components connect -4. **Trace the execution flow** - follow from entry points or usage patterns -5. **Identify key files and functions** - build a mental map of the relevant code - -## When to Stop -- Don't attempt to run or execute code -- When you've gathered sufficient information, provide a clear report with: - - Files and functions found - - How they relate to the issue - - Your understanding of the problem - - Suggested next steps for the human to take - -## Response Format -Be systematic and thorough. Explain your search strategy, what you found, and how pieces connect. Use the investigation example pattern: search → analyze → follow connections → report findings. -""".strip() diff --git a/src/buzzllm/prompts/generate_prompt.py b/src/buzzllm/prompts/generate_prompt.py deleted file mode 100644 index 32a503c..0000000 --- a/src/buzzllm/prompts/generate_prompt.py +++ /dev/null @@ -1 +0,0 @@ -prompt = """You are a helpful expert AI Programmer. I have sent you the code uptill now and your job is to continue the generation. Do not talk at all. Only output valid code. Never ever output backticks like this ```. If there is a comment in 2-3 lines above, you should satisfy those comments. Other comments should be left alone. Do not output backticks. For coding, use 2 spaces for indentation, comment minimally.""" diff --git a/src/buzzllm/prompts/hackhub_prompt.py b/src/buzzllm/prompts/hackhub_prompt.py deleted file mode 100644 index 2ad47a5..0000000 --- a/src/buzzllm/prompts/hackhub_prompt.py +++ /dev/null @@ -1,197 +0,0 @@ -prompt = """You are an expert programming assistant. - - -The context will include the *latest version* of the files throughout the session. The system prompt may change. -The person you are speaking to incredibly skilled. He knows what he is doing. Therefore, **do not add any comments to the code unless instructed to** - -When you want to create files; you **must** show the new file in the following special format. - -# The special code editing format -- Uses **file blocks** -- Starts with ```, and then the filename -- Ends with ``` - -## Example - -```/lib/hello_world.py -def greeting(): - print("hello world!") -``` - ---- - -When you want to edit files; you **must** show the change in the following special format. - -# The special code editing format -- Uses **file blocks** -- Starts with ```, and then the filename -- Ends with ``` -- Uses **search and replace** blocks - - Uses "<<<<<<< SEARCH" to find the original **lines** to replace - - Continues to "=======", - - Immediately follows to with replacement code - - Finally, ends with ">>>>>>> REPLACE" -- For each file edited, there can be multiple search and replace commands -- The lines must match **exactly**. This means all indentation should be preserved, and should follow the style of that given file -- You *may* operate on different files by using multiple file blocks - - -## Example - -Imagine we are working on the following file. Its most recent version will be presented in context as follows: - -```/lib/hello_world.py -def greeting(): - print("hello world!") -``` - -And then, I ask you to make the hello world capitalized - -I would expect you to give me the following: - -```/lib/hello_world.py -<<<<<<< SEARCH - print("hello world!") -======= - print("Hello World!") ->>>>>>> REPLACE -``` - -After this, the file in context would **change to the most recent version** - -```/lib/hello_world.py -def greeting(): - print("Hello World!") -``` - -After this, if I ask for a way to pass an arg that replaces "world": - -You should give me: - -```/lib/hello_world.py -<<<<<<< SEARCH -def greeting(): - print("Hello World!") -======= -def greeting(name): - print(f"Hello {name}!") ->>>>>>> REPLACE -``` -## An example with lines that are the same - -Imagine we have this javascript file: - -```/utils/helper.js -function setup() { - console.log("Initializing..."); -} - -function teardown() { - console.log("Initializing..."); -} - -setup(); -teardown(); -``` -I would expect you to give me the following: - -```/utils/helper.js -<<<<<<< SEARCH -function teardown() { - console.log("Initializing..."); -} -======= -function teardown() { - console.log("Cleaning up..."); -} ->>>>>>> REPLACE -``` - -## How you remove content - -Here is how you would remove teardown - -```/utils/helper.js -<<<<<<< SEARCH -function teardown() { - console.log("Initializing..."); -} - -======= ->>>>>>> REPLACE -<<<<<<< SEARCH -teardown(); -======= ->>>>>>> REPLACE -``` - -## Adding a new function in between teardown & setup on helper.js - -```/utils/helper.js -<<<<<<< SEARCH -function teardown() { -======= -function intermediateStep() { - console.log("Doing something in between..."); -} - -function teardown() { ->>>>>>> REPLACE -``` - -## Replacing a whole function - -```/lib/math_utils.js -function findMax(numbers) { - if (!numbers || numbers.length === 0) { - return undefined; - } - let max = numbers[0]; - for (let i = 1; i < numbers.length; i++) { - if (numbers[i] > max) { - max = numbers[i]; - } - } - return max; -} - -const data = [10, 5, 25, 3, 18]; -const maximum = findMax(data); -console.log("Maximum value:", maximum); -``` - -Replacing the \`findMax\` function with \`Math.max\` - -```/lib/math_utils.js -<<<<<<< SEARCH -function findMax(numbers) { - if (!numbers || numbers.length === 0) { - return undefined; - } - let max = numbers[0]; - for (let i = 1; i < numbers.length; i++) { - if (numbers[i] > max) { - max = numbers[i]; - } - } - return max; -} -======= -function findMax(numbers) { - if (!numbers || numbers.length === 0) { - return undefined; - } - return Math.max(...numbers); -} ->>>>>>> REPLACE -``` - -Notice how in all of the examples, no comments were added. Do not do this unless instructed to. - - -# General instructions -- The person you are speaking to is a highly skilled engineer, and they know what they are doing. Do **not** explain things without any **explicit** question. You may share your intent, but nothing beyond that, unless asked to. -- Anything is possible. -- Follow the code style of the file that you are operating in . -- If you are instructed to replace an entire file, **do not** use the search and replace blocks, but you may add the file path after the first three backticks. -""".strip() diff --git a/src/buzzllm/prompts/helpful_prompt.py b/src/buzzllm/prompts/helpful_prompt.py deleted file mode 100644 index 586bd5f..0000000 --- a/src/buzzllm/prompts/helpful_prompt.py +++ /dev/null @@ -1 +0,0 @@ -prompt = """You are a helpful assistant. What I have sent are my notes so far. You are very curt, yet helpful. For coding, use 2 spaces for indentation. Answer my queries.""" diff --git a/src/buzzllm/prompts/replace_prompt.py b/src/buzzllm/prompts/replace_prompt.py deleted file mode 100644 index 8b54f67..0000000 --- a/src/buzzllm/prompts/replace_prompt.py +++ /dev/null @@ -1 +0,0 @@ -prompt = """You should replace the code that you are sent, only following the comments. Do not talk at all. Only output valid code. Do not provide any backticks that surround the code. Never ever output backticks like this ```. Any comment that is asking you for something should be removed after you satisfy them. Other comments should left alone. Do not output backticks. Type annotate the variables and function calls appropriately in python. For javascript or JSX do not add type annotations. For coding, use 2 spaces for indentation, comment minimally.""" diff --git a/src/buzzllm/prompts/websearch_prompt.py b/src/buzzllm/prompts/websearch_prompt.py deleted file mode 100644 index af21581..0000000 --- a/src/buzzllm/prompts/websearch_prompt.py +++ /dev/null @@ -1,5 +0,0 @@ -prompt = """ -You are a language model. Your task is to answer the complex queries of the user. You can use brave search to search internet and get not just links and title and small description, but also a deep dive into the original content of certain pages. - -You can perform multiple search requests with breakdown'd queries, and do multi-turn requests before answering the user's queries. -""".strip() diff --git a/src/buzzllm/tools/__init__.py b/src/buzzllm/tools/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/src/buzzllm/tools/codesearch.py b/src/buzzllm/tools/codesearch.py deleted file mode 100644 index a00d3b7..0000000 --- a/src/buzzllm/tools/codesearch.py +++ /dev/null @@ -1,256 +0,0 @@ -import subprocess -from pathlib import Path -from subprocess import TimeoutExpired - -# Get current working directory as absolute path -CWD = Path.cwd().resolve() - - -def _validate_path(path_str: str) -> str: - """Ensure path is within CWD and return relative path""" - path = Path(path_str).resolve() - if not str(path).startswith(str(CWD)): - raise ValueError(f"Path outside CWD not allowed: {path}") - return str(path.relative_to(CWD)) - - -def _paginate_results(results: list[str], limit: int = 20, offset: int = 0) -> dict: - """Apply pagination to results and return metadata""" - total = len(results) - - if limit is None or limit == 0: - paginated = results[offset:] - has_more = False - else: - end = offset + limit - paginated = results[offset:end] - has_more = end < total - - return { - "results": paginated, - "total": total, - "offset": offset, - "limit": limit, - "has_more": has_more, - "returned": len(paginated), - } - - -bash_find_tool_desc = """ -This function uses `rg --files` to list files efficiently: - -**Core command**: `rg --files [path]` -- Lists all files recursively -- Respects `.gitignore` automatically -- Much faster than `find` for file listing - -**Key usage patterns in your function**: - -```bash -# Basic file listing -rg --files - -# With glob filter -rg --files --glob "*.py" - -# In specific directory -rg --files /path/to/dir -``` - -**Why ripgrep here**: -- Fast recursive file discovery -- Built-in `.gitignore` respect -- Clean output (one file per line) -- Good for large codebases - -**Limitations in your implementation**: -- Falls back to `find` for directories (`type_filter="d"`) -- No built-in pagination (you handle it post-process) - -**Alternative rg options you could add**: -- `--type py` (file type filters) -- `--hidden` (include hidden files) -- `--no-ignore` (ignore .gitignore) -""".strip() - -bash_ripgrep_tool_desc = """ -This function uses `rg` for text searching within files: - -**Core command**: `rg "pattern" [path]` -- Searches for regex patterns in file contents -- Fast, recursive, respects `.gitignore` -- Shows filename:line:content by default - -**Key usage patterns in your function**: - -```bash -# Basic search -rg "function" - -# Search in specific path -rg "TODO" src/ - -# With extra args -rg "error" --ignore-case --context 2 -``` - -**Common `extra_args` options**: -- `--ignore-case` / `-i`: Case insensitive -- `--word-regexp` / `-w`: Match whole words -- `--context 3` / `-C3`: Show 3 lines around matches -- `--type py`: Search only Python files -- `--line-number` / `-n`: Show line numbers (default) -- `--no-heading`: Don't group by file -- `--color never`: Disable colors for parsing - -**Output format**: -``` -filename:line_number:matching_line_content -``` - -**Why ripgrep here**: -- Extremely fast text search -- Regex support built-in -- Clean, parseable output -- Handles large codebases well - -**Your function strengths**: -- Post-processing pagination -- Error handling for no matches -- Path validation -- Timeout protection -""".strip() - - -def bash_find( - path: str = ".", - name: str = "", - type_filter: str = "", - extra_args: str = "", - limit: int = 20, - offset: int = 0, -): - """ - Execute rg --files command (respects .gitignore) and return paginated output. - - Args: - path (str): Directory path to search in, defaults to current directory - name (str): Glob pattern to filter filenames - type_filter (str): Filter by type ('d' for directories, None for files) - extra_args (str): Additional command line arguments to pass - limit (int): Maximum number of results to return. 0 to return all of them - offset (int): Number of results to skip from the beginning - - Returns: - dict: Contains 'results' list, 'total' count, 'returned' count, 'offset' value, - or 'error' key with error message if command fails - """ - validated_path = _validate_path(path) - - cmd = ["rg", "--files"] - - if name: - cmd.extend(["--glob", name]) - - if type_filter == "d": - cmd = ["find", validated_path, "-type", "d"] - if name: - cmd.extend(["-name", name]) - else: - if path != ".": - cmd.append(validated_path) - - if extra_args: - cmd.extend(extra_args.split(" ")) - - try: - result = subprocess.run( - cmd, capture_output=True, text=True, timeout=30, cwd=CWD - ) - if result.returncode != 0: - return {"error": f"Command failed: {result.stderr}"} - - lines = result.stdout.strip().split("\n") if result.stdout.strip() else [] - paginated = _paginate_results(lines, limit, offset) - - except TimeoutExpired: - return {"error": "Command timed out after 30 seconds"} - - return paginated - - -def bash_ripgrep( - pattern: str, - files: str = ".", - extra_args: str = "", - limit: int = 20, - offset: int = 0, -): - """ - Execute ripgrep command and return paginated output. - - Args: - pattern (str): Regular expression pattern to search for - files (str): File or directory path to search in, defaults to current directory - extra_args (List[str]): Additional command line arguments to pass to ripgrep - limit (int): Maximum number of results to return. 0 to return all of them. - offset (int): Number of results to skip from the beginning - - Returns: - dict: Contains 'results' list, 'total' count, 'returned' count, 'offset' value, - or 'error' key with error message if command fails or no matches found - """ - validated_files = _validate_path(files) - - cmd = ["rg", pattern] - - if files != ".": - cmd.append(validated_files) - - if extra_args: - cmd.extend(extra_args.split(" ")) - - try: - result = subprocess.run( - cmd, capture_output=True, text=True, timeout=30, cwd=CWD - ) - if result.returncode != 0: - return {"error": f"No matches found or command failed: {result.stderr}"} - - lines = result.stdout.strip().split("\n") if result.stdout.strip() else [] - paginated = _paginate_results(lines, limit, offset) - - except TimeoutExpired: - return {"error": "Command timed out after 30 seconds"} - - return paginated - - -def bash_read(filepath: str, limit: int = 0, offset: int = 0): - """ - Read file contents with pagination, restricted to current working directory. - - Args: - filepath: Path to the file to read - limit: Maximum number of lines to return - offset: Number of lines to skip from the beginning - - Returns: - dict: Contains 'results' list of lines, 'content' string with joined lines, - 'total' line count, 'returned' count, 'offset' value, - or 'error' key with error message if file cannot be read - """ - validated_path = _validate_path(filepath) - - try: - with open(validated_path, "r") as f: - lines = f.read().strip().split("\n") - - paginated = _paginate_results(lines, limit, offset) - - paginated["content"] = "\n".join(paginated["results"]) - - return paginated - - except Exception as e: - return {"error": f"Failed to read file: {str(e)}"} diff --git a/src/buzzllm/tools/pythonexec.py b/src/buzzllm/tools/pythonexec.py deleted file mode 100644 index fc458dd..0000000 --- a/src/buzzllm/tools/pythonexec.py +++ /dev/null @@ -1,176 +0,0 @@ -import docker -import json -import socket -import atexit -import uuid -import time -import threading -from typing import Optional - - -_DOCKER_IMAGE = "buzz/python-exec:latest" -_client = None -_container = None -_port = None -_lock = threading.Lock() - - -def _get_docker_client(): - """Get or create Docker client""" - global _client - if _client is None: - _client = docker.from_env() - return _client - - -def _find_available_port(start_port: int = 3000, end_port: int = 7990) -> Optional[int]: - """Find the first available port in the given range""" - for port in range(start_port, end_port + 1): - with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock: - try: - sock.bind(("localhost", port)) - return port - except OSError: - continue - return None - - -def _start_container(mem: str = "512m", timeout: int = 600): - """Start the Python execution container""" - global _container, _port - - with _lock: - if _container: - return - - # Find available port - _port = _find_available_port() - if _port is None: - raise RuntimeError("No available ports found in range 3000-7990") - - client = _get_docker_client() - container_name = f"pyexec-{uuid.uuid4().hex[:8]}" - - try: - _container = client.containers.run( - _DOCKER_IMAGE, - detach=True, - remove=True, - name=container_name, - mem_limit=mem, - network_mode="bridge", - ports={"8787/tcp": _port}, - auto_remove=True, - ) - - # Wait for container to be ready - max_wait = 10 - for _ in range(max_wait): - try: - _container.reload() - if _container.status == "running": - # Test connection - with socket.create_connection(("localhost", _port), timeout=2): - break - except Exception: - time.sleep(1) - else: - raise RuntimeError("Container failed to start or become ready") - - time.sleep(2) # wait for internal service to start - print(f"Python execution container started on port {_port}") - - except Exception as e: - _container = None - _port = None - raise RuntimeError(f"Failed to start container: {str(e)}") - - -def _kill_container(): - """Kill and cleanup the container""" - global _container, _port - - with _lock: - if _container: - try: - _container.kill() - print("Python execution container stopped") - except Exception: - pass - finally: - _container = None - _port = None - - -# Register cleanup function -atexit.register(_kill_container) - - -def python_execute(code: str, mem: str = "512m", timeout: int = 30) -> dict: - """ - Execute Python code in an isolated Docker container with persistent IPython kernel. - - Args: - code: Python source code to execute - mem: Memory limit for container (e.g. "512m", "1g") - timeout: Socket timeout in seconds - - Returns: - dict: Contains 'stdout', 'stderr', and 'result' keys with execution output - """ - if not code or not code.strip(): - return {"stdout": "", "stderr": "No code provided", "result": None} - - try: - # Ensure container is running - _start_container(mem) - - # Send code to container - with socket.create_connection(("localhost", _port), timeout=timeout) as sock: - request = json.dumps({"code": code}) - sock.sendall(request.encode()) - - # Receive response - response_data = b"" - while True: - chunk = sock.recv(4096) - if not chunk: - break - response_data += chunk - - # Try to parse JSON to see if we have complete response - try: - json.loads(response_data.decode()) - break - except json.JSONDecodeError: - continue - - if not response_data: - return { - "stdout": "", - "stderr": "No response from container", - "result": None, - } - - response = json.loads(response_data.decode()) - - # Truncate large outputs - max_length = 10000 - if len(response.get("stdout", "")) > max_length: - response["stdout"] = ( - response["stdout"][:max_length] + "\n... (truncated)" - ) - if len(response.get("stderr", "")) > max_length: - response["stderr"] = ( - response["stderr"][:max_length] + "\n... (truncated)" - ) - - return response - - except Exception as e: - return {"stdout": "", "stderr": f"Execution failed: {str(e)}", "result": None} - - -def cleanup_python_exec(): - """Manually cleanup the container (called from main cleanup)""" - _kill_container() diff --git a/src/buzzllm/tools/utils.py b/src/buzzllm/tools/utils.py deleted file mode 100644 index c90fdcf..0000000 --- a/src/buzzllm/tools/utils.py +++ /dev/null @@ -1,136 +0,0 @@ -import inspect -from typing import Callable, get_type_hints, get_origin, get_args, Union - -AVAILABLE_TOOLS = {} - - -def add_tool(func: Callable): - AVAILABLE_TOOLS[func.__name__] = func - - -def callable_to_openai_schema(func, desc: str = ""): - name = func.__name__ - description = desc or inspect.getdoc(func) - if not description: - raise ValueError( - f"neither docstring or description is provided for function: '{name}'" - ) - - sig = inspect.signature(func) - type_hints = get_type_hints(func) - - properties = {} - required = [] - - for param_name, param in sig.parameters.items(): - param_type = type_hints.get(param_name, str) - properties[param_name] = _python_type_to_json_schema(param_type) - if param.default == inspect.Parameter.empty: - required.append(param_name) - - return { - "type": "function", - "function": { - "name": name, - "description": description, - "parameters": { - "type": "object", - "properties": properties, - "required": required, - }, - }, - } - - -def callable_to_anthropic_schema(func, desc: str = ""): - name = func.__name__ - description = desc or inspect.getdoc(func) - if not description: - raise ValueError( - f"neither docstring or description is provided for function: '{name}'" - ) - - sig = inspect.signature(func) - type_hints = get_type_hints(func) - - properties = {} - required = [] - - for param_name, param in sig.parameters.items(): - param_type = type_hints.get(param_name, str) - properties[param_name] = _python_type_to_json_schema(param_type) - if param.default == inspect.Parameter.empty: - required.append(param_name) - - return { - "name": name, - "description": description, - "input_schema": { - "type": "object", - "properties": properties, - "required": required, - }, - } - - -def _python_type_to_json_schema(python_type): - """ - Return a JSON Schema fragment for the given Python typing object. - Supports builtin primitives, List[T], Dict[K, V], Optional[T], and Union[…]. - """ - primitive_map = { - str: "string", - int: "integer", - float: "number", - bool: "boolean", - list: "array", - dict: "object", - } - - # Support NoneType - if python_type is type(None): - return {"type": "null"} - - origin = get_origin(python_type) - args = get_args(python_type) - - # Handle Union (including Optional) - if origin is Union: - # flatten nested Unions - branches = [] - for arg in args: - if get_origin(arg) is Union: - branches.extend(get_args(arg)) - else: - branches.append(arg) - - subschemas = [_python_type_to_json_schema(b) for b in branches] - # if all branches are primitive types, collapse into a type array - primitive_types = [] - for s in subschemas: - t = s.get("type") - if isinstance(t, str): - primitive_types.append(t) - else: - primitive_types = None - break - if primitive_types is not None: - return {"type": primitive_types} - # otherwise use oneOf - return {"oneOf": subschemas} - - # Simple builtins - if python_type in primitive_map: - return {"type": primitive_map[python_type]} - - # Parameterized containers - if origin is list: - item_schema = _python_type_to_json_schema(args[0]) if args else {} - return {"type": "array", "items": item_schema} - - if origin is dict: - # JSON Schema objects only define value types - value_schema = _python_type_to_json_schema(args[1]) if len(args) > 1 else {} - return {"type": "object", "additionalProperties": value_schema} - - raise NotImplementedError(f"decoding of '{python_type}' is not yet implemented") diff --git a/src/buzzllm/tools/websearch.py b/src/buzzllm/tools/websearch.py deleted file mode 100644 index 1e18d8f..0000000 --- a/src/buzzllm/tools/websearch.py +++ /dev/null @@ -1,235 +0,0 @@ -import os -import httpx -import subprocess -import sys -import requests -import re -from functools import lru_cache - -from bs4 import BeautifulSoup -from pydantic import BaseModel -from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig -from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator -from crawl4ai.content_filter_strategy import PruningContentFilter -from loguru import logger -from tenacity import ( - retry, - stop_after_attempt, - wait_exponential, - RetryError, - retry_if_not_exception_type, -) - - -@lru_cache(maxsize=1) -def _ensure_chromium(): - """Ensure Chromium is installed for Playwright""" - # Check if already installed - result = subprocess.run( - [sys.executable, "-m", "playwright", "install", "--dry-run", "chromium"], - capture_output=True, - text=True, - ) - - if "is already installed" not in result.stdout: - print("Installing Chromium for Playwright...") - subprocess.run( - [sys.executable, "-m", "playwright", "install", "chromium"], check=True - ) - print("Chromium installed successfully.") - - -class WebSearchResults(BaseModel): - title: str - url: str - description: str | list[str] - - -class DuckDuckGoBotDetectedError(RuntimeError): - pass - - -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=2, max=8), - retry=retry_if_not_exception_type(DuckDuckGoBotDetectedError), -) -async def _search_duckduckgo(query: str, count: int = 10) -> list[dict]: - """Search using DuckDuckGo""" - if not query: - return [] - - base_url = "https://lite.duckduckgo.com/lite/" - - headers = { - "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:91.0) Gecko/20100101 Firefox/91.0", - "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8", - "Accept-Language": "en-US,en;q=0.5", - "Accept-Encoding": "gzip, deflate", - "Connection": "keep-alive", - "Upgrade-Insecure-Requests": "1", - "Sec-Fetch-Dest": "document", - "Sec-Fetch-Mode": "navigate", - "Sec-Fetch-Site": "none", - "Cache-Control": "max-age=0", - } - - params = {"q": query} - response = requests.get(base_url, params=params, headers=headers, timeout=15) - - if response.status_code == 202 or "anomaly.js" in response.text: - logger.warning("DuckDuckGo bot detection triggered") - raise DuckDuckGoBotDetectedError("DuckDuckGo bot detection triggered") - - response.raise_for_status() - - soup = BeautifulSoup(response.text, "html.parser") - results = [] - - tables = soup.find_all("table") - if not tables: - return [] - - results_table = tables[-1] - rows = results_table.find_all("tr") - - i = 0 - while i < len(rows) and len(results) < count: - current_row = rows[i] - cells = current_row.find_all("td") - - if len(cells) >= 2: - first_cell_text = cells[0].get_text(strip=True) - - if re.match(r"^\d+\.\s*$", first_cell_text): - second_cell = cells[1] - link = second_cell.find("a", href=True) - - if link: - title = link.get_text(strip=True) - url = link.get("href") - - description = "" - if i + 1 < len(rows): - desc_row = rows[i + 1] - desc_cells = desc_row.find_all("td") - if len(desc_cells) >= 2: - desc_text = desc_cells[1].get_text(strip=True) - if not re.match(r"^https?://", desc_text): - description = desc_text - - description = re.sub(r"\s+", " ", description).strip() - - if title and url: - results.append( - WebSearchResults( - title=title, url=url, description=description - ).model_dump() - ) - - i += 3 - continue - - i += 1 - - return results - - -@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=2, max=8)) -async def _search_brave(query: str, count: int = 10) -> list[dict]: - """Search using Brave Search API""" - if not query: - return [] - - url = "https://api.search.brave.com/res/v1/web/search" - headers = { - "Accept": "application/json", - "X-Subscription-Token": os.environ.get("BRAVE_SEARCH_AI_API_KEY", ""), - } - - if not headers["X-Subscription-Token"]: - logger.error("Missing Brave Search API key") - raise Exception("Missing Brave Search API key") - - params = {"q": query, "count": count} - - async with httpx.AsyncClient() as client: - response = await client.get(url, headers=headers, params=params) - response.raise_for_status() - results_json = response.json() - - results = [] - for item in results_json.get("web", {}).get("results", []): - result = WebSearchResults( - title=str(item.get("title", "")), - url=str(item.get("url", "")), - description=str(item.get("description", "")), - ).model_dump() - results.append(result) - - return results - - -async def _search_web_async(query: str) -> list[dict]: - """Internal async search function with fallback""" - try: - return await _search_duckduckgo(query) - except DuckDuckGoBotDetectedError: - logger.warning( - "DuckDuckGo bot detection triggered, falling back to Brave Search" - ) - except RetryError: - logger.warning("DuckDuckGo search failed, falling back to Brave Search") - - try: - return await _search_brave(query) - except RetryError: - logger.error("Both DuckDuckGo and Brave Search failed") - return [] - - -async def search_web(query: str) -> list[dict]: - """Search the web for information using DuckDuckGo with Brave fallback - - :param query: The search query string to find relevant web pages - :returns: List of json objects containing search results with title, URL, and description. - """ - return await _search_web_async(query) - - -async def scrape_webpage(url: str) -> str: - """Scrape and extract content from a webpage as markdown - - :param url: The URL of the webpage to scrape - :returns: Markdown content of the webpage, or error message if scraping fails - """ - _ensure_chromium() - return await _fetch_markdown(url) - - -@retry(stop=stop_after_attempt(5), wait=wait_exponential(multiplier=1, min=4, max=10)) -async def _fetch_markdown(url: str) -> str: - try: - assert url is not None, "url is None" - assert len(url) > 0, "len(url) is 0" - - md_generator = DefaultMarkdownGenerator( - options={"ignore_links": True, "escape_html": True, "body_width": 80}, - content_filter=PruningContentFilter(threshold=0.5, min_word_threshold=50), - ) - - browser_config = BrowserConfig(verbose=False) - crawler_config = CrawlerRunConfig( - markdown_generator=md_generator, - word_count_threshold=10, - excluded_tags=["nav", "header", "footer"], - exclude_external_links=True, - verbose=False, - ) - - async with AsyncWebCrawler(config=browser_config) as crawler: - result = await crawler.arun(url, config=crawler_config) - return str(result.markdown) - except Exception as e: - logger.exception(f"Failed to fetch markdown for url: {url}") - return f"Error scraping {url}: {str(e)}" diff --git a/rust/src/lib.rs b/src/lib.rs similarity index 100% rename from rust/src/lib.rs rename to src/lib.rs diff --git a/rust/src/llm.rs b/src/llm.rs similarity index 100% rename from rust/src/llm.rs rename to src/llm.rs diff --git a/rust/src/main.rs b/src/main.rs similarity index 100% rename from rust/src/main.rs rename to src/main.rs diff --git a/rust/src/output.rs b/src/output.rs similarity index 100% rename from rust/src/output.rs rename to src/output.rs diff --git a/rust/src/prompts/codesearch.txt b/src/prompts/codesearch.txt similarity index 100% rename from rust/src/prompts/codesearch.txt rename to src/prompts/codesearch.txt diff --git a/rust/src/prompts/coding.txt b/src/prompts/coding.txt similarity index 100% rename from rust/src/prompts/coding.txt rename to src/prompts/coding.txt diff --git a/rust/src/prompts/generate.txt b/src/prompts/generate.txt similarity index 100% rename from rust/src/prompts/generate.txt rename to src/prompts/generate.txt diff --git a/rust/src/prompts/hackhub.txt b/src/prompts/hackhub.txt similarity index 100% rename from rust/src/prompts/hackhub.txt rename to src/prompts/hackhub.txt diff --git a/rust/src/prompts/helpful.txt b/src/prompts/helpful.txt similarity index 100% rename from rust/src/prompts/helpful.txt rename to src/prompts/helpful.txt diff --git a/rust/src/prompts/mod.rs b/src/prompts/mod.rs similarity index 100% rename from rust/src/prompts/mod.rs rename to src/prompts/mod.rs diff --git a/rust/src/prompts/replace.txt b/src/prompts/replace.txt similarity index 100% rename from rust/src/prompts/replace.txt rename to src/prompts/replace.txt diff --git a/rust/src/prompts/websearch.txt b/src/prompts/websearch.txt similarity index 100% rename from rust/src/prompts/websearch.txt rename to src/prompts/websearch.txt diff --git a/rust/src/providers/anthropic.rs b/src/providers/anthropic.rs similarity index 100% rename from rust/src/providers/anthropic.rs rename to src/providers/anthropic.rs diff --git a/rust/src/providers/mod.rs b/src/providers/mod.rs similarity index 100% rename from rust/src/providers/mod.rs rename to src/providers/mod.rs diff --git a/rust/src/providers/openai_chat.rs b/src/providers/openai_chat.rs similarity index 100% rename from rust/src/providers/openai_chat.rs rename to src/providers/openai_chat.rs diff --git a/rust/src/providers/openai_responses.rs b/src/providers/openai_responses.rs similarity index 100% rename from rust/src/providers/openai_responses.rs rename to src/providers/openai_responses.rs diff --git a/rust/src/providers/vertexai_anthropic.rs b/src/providers/vertexai_anthropic.rs similarity index 100% rename from rust/src/providers/vertexai_anthropic.rs rename to src/providers/vertexai_anthropic.rs diff --git a/rust/src/tools/bash.rs b/src/tools/bash.rs similarity index 100% rename from rust/src/tools/bash.rs rename to src/tools/bash.rs diff --git a/rust/src/tools/codesearch.rs b/src/tools/codesearch.rs similarity index 100% rename from rust/src/tools/codesearch.rs rename to src/tools/codesearch.rs diff --git a/rust/src/tools/mod.rs b/src/tools/mod.rs similarity index 100% rename from rust/src/tools/mod.rs rename to src/tools/mod.rs diff --git a/rust/src/tools/pythonexec.rs b/src/tools/pythonexec.rs similarity index 100% rename from rust/src/tools/pythonexec.rs rename to src/tools/pythonexec.rs diff --git a/rust/src/tools/websearch.rs b/src/tools/websearch.rs similarity index 100% rename from rust/src/tools/websearch.rs rename to src/tools/websearch.rs diff --git a/rust/src/tools/write_file.rs b/src/tools/write_file.rs similarity index 100% rename from rust/src/tools/write_file.rs rename to src/tools/write_file.rs diff --git a/rust/src/types.rs b/src/types.rs similarity index 100% rename from rust/src/types.rs rename to src/types.rs diff --git a/tests/__init__.py b/tests/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/tests/conftest.py b/tests/conftest.py deleted file mode 100644 index 2db3768..0000000 --- a/tests/conftest.py +++ /dev/null @@ -1,167 +0,0 @@ -import os -import pytest - - -# === Skip conditions === - -def docker_available() -> bool: - """Check if Docker daemon is running and accessible""" - try: - import docker - client = docker.from_env() - client.ping() - return True - except Exception: - return False - - -def openai_api_available() -> bool: - return bool(os.environ.get("OPENAI_API_KEY")) - - -def anthropic_api_available() -> bool: - return bool(os.environ.get("ANTHROPIC_API_KEY")) - - -skip_if_no_docker = pytest.mark.skipif( - not docker_available(), - reason="Docker daemon not available" -) - -skip_if_no_openai = pytest.mark.skipif( - not openai_api_available(), - reason="OPENAI_API_KEY not set" -) - -skip_if_no_anthropic = pytest.mark.skipif( - not anthropic_api_available(), - reason="ANTHROPIC_API_KEY not set" -) - - -# === Reset global state === - -@pytest.fixture(autouse=True) -def reset_tool_state(): - """Reset global tool state between tests""" - from buzzllm.tools import utils - from buzzllm import llm - - utils.AVAILABLE_TOOLS.clear() - llm.TOOL_CALLS.clear() - llm.current_tool_call_id = "" - - yield - - utils.AVAILABLE_TOOLS.clear() - llm.TOOL_CALLS.clear() - llm.current_tool_call_id = "" - - -# === LLM fixtures === - -@pytest.fixture -def sample_llm_options(): - """Basic LLMOptions fixture""" - from buzzllm.llm import LLMOptions - return LLMOptions( - model="gpt-4o-mini", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - max_tokens=1024, - temperature=0.5, - ) - - -@pytest.fixture -def sample_tool_calls(): - """Sample ToolCall dict for testing message conversion""" - from buzzllm.llm import ToolCall - return { - "call_1": ToolCall( - id="call_1", - name="search_web", - arguments='{"query": "python tutorial"}', - executed=True, - result="Search results..." - ), - } - - -# === Tool schema fixtures === - -@pytest.fixture -def sample_function_with_docstring(): - """Sample function for schema conversion""" - def my_func(name: str, count: int = 10) -> str: - """This is a sample function - - :param name: The name to use - :param count: Number of items - """ - return f"{name}: {count}" - return my_func - - -@pytest.fixture -def sample_function_without_docstring(): - """Function without docstring - should raise error""" - def no_doc_func(x: int): - pass - return no_doc_func - - -# === Codesearch fixtures === - -@pytest.fixture -def temp_cwd(tmp_path, monkeypatch): - """Set up a temp directory as CWD for codesearch tests""" - (tmp_path / "test.py").write_text("def hello():\n print('hello')\n") - (tmp_path / "subdir").mkdir() - (tmp_path / "subdir" / "nested.py").write_text("x = 1\n") - - import buzzllm.tools.codesearch as codesearch_module - monkeypatch.setattr(codesearch_module, "CWD", tmp_path) - return tmp_path - - -# === Websearch mock fixtures === - -@pytest.fixture -def mock_duckduckgo_html(): - """Mock HTML response from DuckDuckGo lite""" - return """ - - - - - -
1. Example Title
This is the description
https://example.com
- - """ - - -@pytest.fixture -def mock_brave_json(): - """Mock JSON response from Brave Search API""" - return { - "web": { - "results": [ - { - "title": "Example Title", - "url": "https://example.com", - "description": "Example description" - } - ] - } - } - - -# === Environment fixtures === - -@pytest.fixture -def env_with_api_keys(monkeypatch): - """Set up environment with fake API keys for unit tests""" - monkeypatch.setenv("OPENAI_API_KEY", "test-openai-key-xxx") - monkeypatch.setenv("ANTHROPIC_API_KEY", "test-anthropic-key-xxx") - monkeypatch.setenv("BRAVE_SEARCH_AI_API_KEY", "test-brave-key-xxx") diff --git a/tests/e2e/__init__.py b/tests/e2e/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/tests/e2e/test_cli.py b/tests/e2e/test_cli.py deleted file mode 100644 index 5be02d5..0000000 --- a/tests/e2e/test_cli.py +++ /dev/null @@ -1,256 +0,0 @@ -import pytest -import subprocess -import os - -from tests.conftest import skip_if_no_openai, skip_if_no_anthropic - - -@pytest.mark.e2e -class TestCLI: - """End-to-end tests for the buzzllm CLI.""" - - def test_help_command(self): - """buzzllm --help should work""" - result = subprocess.run( - ["buzzllm", "--help"], - capture_output=True, - text=True, - timeout=10, - ) - assert result.returncode == 0 - assert "usage:" in result.stdout.lower() or "buzzllm" in result.stdout - - def test_help_shows_providers(self): - """Help should list available providers""" - result = subprocess.run( - ["buzzllm", "--help"], - capture_output=True, - text=True, - timeout=10, - ) - assert "openai-chat" in result.stdout - assert "anthropic" in result.stdout - - def test_missing_required_args_fails(self): - """Should fail without required arguments""" - result = subprocess.run( - ["buzzllm"], - capture_output=True, - text=True, - timeout=10, - ) - assert result.returncode != 0 - - def test_missing_provider_fails(self): - """Should fail without --provider""" - result = subprocess.run( - [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--api-key-name", - "KEY", - ], - capture_output=True, - text=True, - timeout=10, - ) - assert result.returncode != 0 - assert "provider" in result.stderr.lower() - - def test_missing_api_key_name_fails(self): - """Should fail without --api-key-name""" - result = subprocess.run( - [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "openai-chat", - ], - capture_output=True, - text=True, - timeout=10, - ) - assert result.returncode != 0 - assert "api-key-name" in result.stderr.lower() - - def test_invalid_provider_fails(self): - """Should fail with invalid provider""" - result = subprocess.run( - [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "invalid", - "--api-key-name", - "KEY", - ], - capture_output=True, - text=True, - timeout=10, - ) - assert result.returncode != 0 - - -@pytest.mark.e2e -class TestCLIWithOpenAI: - """E2E tests that require OpenAI API access.""" - - @skip_if_no_openai - def test_simple_openai_call(self): - """Real CLI call to OpenAI with gpt-4.1-mini""" - result = subprocess.run( - [ - "buzzllm", - "gpt-4.1-mini", - "https://api.openai.com/v1/chat/completions", - "Say exactly: test passed", - "--provider", - "openai-chat", - "--api-key-name", - "OPENAI_API_KEY", - "--max-tokens", - "20", - ], - capture_output=True, - text=True, - timeout=60, - env={**os.environ}, - ) - assert result.returncode == 0 - assert "test" in result.stdout.lower() or "passed" in result.stdout.lower() - - @skip_if_no_openai - def test_sse_output_format(self): - """Test -S flag produces SSE format""" - result = subprocess.run( - [ - "buzzllm", - "gpt-4.1-mini", - "https://api.openai.com/v1/chat/completions", - "Say hi", - "--provider", - "openai-chat", - "--api-key-name", - "OPENAI_API_KEY", - "--max-tokens", - "10", - "-S", - ], - capture_output=True, - text=True, - timeout=60, - env={**os.environ}, - ) - assert result.returncode == 0 - # SSE format should have "event:" and "data:" lines - assert "event:" in result.stdout - assert "data:" in result.stdout - - @skip_if_no_openai - def test_websearch_template(self): - """Test websearch system prompt template""" - result = subprocess.run( - [ - "buzzllm", - "gpt-4.1-mini", - "https://api.openai.com/v1/chat/completions", - "What is 2+2? Answer directly without searching.", - "--provider", - "openai-chat", - "--api-key-name", - "OPENAI_API_KEY", - "--system-prompt", - "websearch", - "--max-tokens", - "50", - ], - capture_output=True, - text=True, - timeout=60, - env={**os.environ}, - ) - # Should complete without error (tools are registered but may not be called) - assert result.returncode == 0 - - -@pytest.mark.e2e -class TestCLIWithAnthropic: - """E2E tests that require Anthropic API access.""" - - @skip_if_no_anthropic - def test_simple_anthropic_call(self): - """Real CLI call to Anthropic with Haiku 4.5""" - result = subprocess.run( - [ - "buzzllm", - "claude-3-5-haiku-20241022", - "https://api.anthropic.com/v1/messages", - "Say exactly: test passed", - "--provider", - "anthropic", - "--api-key-name", - "ANTHROPIC_API_KEY", - "--max-tokens", - "20", - ], - capture_output=True, - text=True, - timeout=60, - env={**os.environ}, - ) - assert result.returncode == 0 - assert "test" in result.stdout.lower() or "passed" in result.stdout.lower() - - @skip_if_no_anthropic - def test_thinking_mode_flag(self): - """Test --think flag with Anthropic (Sonnet supports thinking)""" - result = subprocess.run( - [ - "buzzllm", - "claude-sonnet-4-20250514", - "https://api.anthropic.com/v1/messages", - "What is 5*5?", - "--provider", - "anthropic", - "--api-key-name", - "ANTHROPIC_API_KEY", - "--think", - ], - capture_output=True, - text=True, - timeout=120, - env={**os.environ}, - ) - assert result.returncode == 0 - assert "25" in result.stdout - - @skip_if_no_anthropic - def test_codesearch_template(self): - """Test codesearch system prompt template""" - result = subprocess.run( - [ - "buzzllm", - "claude-3-5-haiku-20241022", - "https://api.anthropic.com/v1/messages", - "What is 1+1? Answer directly.", - "--provider", - "anthropic", - "--api-key-name", - "ANTHROPIC_API_KEY", - "--system-prompt", - "codesearch", - "--max-tokens", - "50", - ], - capture_output=True, - text=True, - timeout=60, - env={**os.environ}, - ) - assert result.returncode == 0 diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/tests/integration/test_anthropic_integration.py b/tests/integration/test_anthropic_integration.py deleted file mode 100644 index ac3def2..0000000 --- a/tests/integration/test_anthropic_integration.py +++ /dev/null @@ -1,205 +0,0 @@ -import pytest - -from tests.conftest import skip_if_no_anthropic - - -@pytest.mark.integration -class TestAnthropicIntegration: - """Integration tests against real Anthropic API. - - Requires ANTHROPIC_API_KEY environment variable to be set. - Uses claude-3-5-haiku-20241022 for all tests. - """ - - MODEL = "claude-3-5-haiku-20241022" - - @skip_if_no_anthropic - @pytest.mark.asyncio - async def test_simple_completion(self): - """Test basic message with Haiku""" - from buzzllm.llm import ( - LLMOptions, - make_anthropic_request_args, - handle_anthropic_stream_response, - ) - import requests - - opts = LLMOptions( - model=self.MODEL, - url="https://api.anthropic.com/v1/messages", - api_key_name="ANTHROPIC_API_KEY", - max_tokens=50, - temperature=0.0, - ) - - request_args = make_anthropic_request_args( - opts, "Say 'hello' and nothing else.", "You are helpful." - ) - - response = requests.post( - opts.url, - headers=request_args.headers, - json=request_args.data, - stream=True, - timeout=30, - ) - response.raise_for_status() - - collected_text = [] - for line in response.iter_lines(decode_unicode=True): - if not line: - continue - for stream_response in handle_anthropic_stream_response(line, True): - if stream_response and stream_response.type == "output_text": - collected_text.append(stream_response.delta) - - full_text = "".join(collected_text).lower() - assert "hello" in full_text - - @skip_if_no_anthropic - @pytest.mark.asyncio - async def test_thinking_mode(self): - """Test extended thinking with Claude Sonnet (supports thinking)""" - from buzzllm.llm import ( - LLMOptions, - make_anthropic_request_args, - handle_anthropic_stream_response, - ) - import requests - - # Use Sonnet 4 which supports extended thinking - opts = LLMOptions( - model="claude-sonnet-4-20250514", - url="https://api.anthropic.com/v1/messages", - api_key_name="ANTHROPIC_API_KEY", - think=True, - ) - - request_args = make_anthropic_request_args( - opts, "What is 15 * 7? Just give the number.", "You are helpful." - ) - - # Verify thinking is configured - assert request_args.data["thinking"]["type"] == "enabled" - assert request_args.data["max_tokens"] == 32000 - - response = requests.post( - opts.url, - headers=request_args.headers, - json=request_args.data, - stream=True, - timeout=60, - ) - response.raise_for_status() - - collected_text = [] - collected_thinking = [] - for line in response.iter_lines(decode_unicode=True): - if not line: - continue - for stream_response in handle_anthropic_stream_response(line, True): - if stream_response: - if stream_response.type == "output_text": - collected_text.append(stream_response.delta) - elif stream_response.type == "reasoning_content": - collected_thinking.append(stream_response.delta) - - full_text = "".join(collected_text) - assert "105" in full_text - - @skip_if_no_anthropic - @pytest.mark.asyncio - async def test_tool_calling(self): - """Test tool calling with Haiku 4.5""" - from buzzllm.llm import ( - LLMOptions, - make_anthropic_request_args, - handle_anthropic_stream_response, - TOOL_CALLS, - ) - from buzzllm.tools.utils import callable_to_anthropic_schema - import requests - - def calculate(expression: str) -> str: - """Calculate a math expression - - :param expression: The math expression to evaluate - """ - return str(eval(expression)) - - tools = [callable_to_anthropic_schema(calculate)] - - opts = LLMOptions( - model=self.MODEL, - url="https://api.anthropic.com/v1/messages", - api_key_name="ANTHROPIC_API_KEY", - max_tokens=200, - temperature=0.0, - tools=tools, - ) - - request_args = make_anthropic_request_args( - opts, - "Calculate 123 * 456 using the calculate tool.", - "You must use the calculate tool to answer math questions.", - ) - - response = requests.post( - opts.url, - headers=request_args.headers, - json=request_args.data, - stream=True, - timeout=30, - ) - response.raise_for_status() - - for line in response.iter_lines(decode_unicode=True): - if not line: - continue - list(handle_anthropic_stream_response(line, True)) - - # Should have triggered a tool call - assert len(TOOL_CALLS) >= 1 - tool_call = list(TOOL_CALLS.values())[0] - assert tool_call.name == "calculate" - - @skip_if_no_anthropic - @pytest.mark.asyncio - async def test_streaming_response_types(self): - """Test that we receive expected streaming response types""" - from buzzllm.llm import ( - LLMOptions, - make_anthropic_request_args, - handle_anthropic_stream_response, - ) - import requests - - opts = LLMOptions( - model=self.MODEL, - url="https://api.anthropic.com/v1/messages", - api_key_name="ANTHROPIC_API_KEY", - max_tokens=20, - ) - - request_args = make_anthropic_request_args(opts, "Hi", "Be brief.") - - response = requests.post( - opts.url, - headers=request_args.headers, - json=request_args.data, - stream=True, - timeout=30, - ) - response.raise_for_status() - - response_types = set() - for line in response.iter_lines(decode_unicode=True): - if not line: - continue - for stream_response in handle_anthropic_stream_response(line, False): - if stream_response: - response_types.add(stream_response.type) - - # Should have received start and end events - assert "response_start" in response_types - assert "block_end" in response_types diff --git a/tests/integration/test_openai_integration.py b/tests/integration/test_openai_integration.py deleted file mode 100644 index cb8134e..0000000 --- a/tests/integration/test_openai_integration.py +++ /dev/null @@ -1,157 +0,0 @@ -import pytest -import asyncio - -from tests.conftest import skip_if_no_openai - - -@pytest.mark.integration -class TestOpenAIIntegration: - """Integration tests against real OpenAI API. - - Requires OPENAI_API_KEY environment variable to be set. - Uses gpt-4.1-mini for standard tests and gpt-5.1-nano for reasoning tests. - """ - - @skip_if_no_openai - @pytest.mark.asyncio - async def test_simple_completion_gpt41_mini(self): - """Test basic chat completion with gpt-4.1-mini""" - from buzzllm.llm import ( - LLMOptions, - make_openai_request_args, - handle_openai_stream_response, - ) - import requests - - opts = LLMOptions( - model="gpt-4.1-mini", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - max_tokens=50, - temperature=0.0, - ) - - request_args = make_openai_request_args( - opts, "Say 'hello' and nothing else.", "You are helpful." - ) - - response = requests.post( - opts.url, - headers=request_args.headers, - json=request_args.data, - stream=True, - timeout=30, - ) - response.raise_for_status() - - collected_text = [] - for line in response.iter_lines(decode_unicode=True): - if not line: - continue - for stream_response in handle_openai_stream_response(line, True): - if stream_response and stream_response.type == "output_text": - collected_text.append(stream_response.delta) - - full_text = "".join(collected_text).lower() - assert "hello" in full_text - - @skip_if_no_openai - @pytest.mark.asyncio - async def test_reasoning_model_gpt51(self): - """Test reasoning model gpt-5.1 with think mode""" - from buzzllm.llm import ( - LLMOptions, - make_openai_request_args, - handle_openai_stream_response, - ) - import requests - - opts = LLMOptions( - model="gpt-5.1", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - think=True, - ) - - request_args = make_openai_request_args( - opts, "What is 2+2? Answer with just the number.", "You are helpful." - ) - - # Check that reasoning_effort is set for reasoning models - assert request_args.data.get("reasoning_effort") == "high" - assert request_args.data["messages"][0]["role"] == "developer" - - response = requests.post( - opts.url, - headers=request_args.headers, - json=request_args.data, - stream=True, - timeout=60, - ) - response.raise_for_status() - - collected_text = [] - for line in response.iter_lines(decode_unicode=True): - if not line: - continue - for stream_response in handle_openai_stream_response(line, True): - if stream_response and stream_response.type == "output_text": - collected_text.append(stream_response.delta) - - full_text = "".join(collected_text) - assert "4" in full_text - - @skip_if_no_openai - @pytest.mark.asyncio - async def test_tool_calling(self): - """Test tool calling functionality with gpt-4.1-mini""" - from buzzllm.llm import ( - LLMOptions, - make_openai_request_args, - handle_openai_stream_response, - TOOL_CALLS, - ) - from buzzllm.tools.utils import callable_to_openai_schema - import requests - - def get_weather(city: str) -> str: - """Get the weather for a city - - :param city: The city name - """ - return f"Weather in {city}: Sunny, 72°F" - - tools = [callable_to_openai_schema(get_weather)] - - opts = LLMOptions( - model="gpt-4.1-mini", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - max_tokens=100, - temperature=0.0, - tools=tools, - ) - - request_args = make_openai_request_args( - opts, "What's the weather in Paris?", "You are helpful. Use tools when needed." - ) - - response = requests.post( - opts.url, - headers=request_args.headers, - json=request_args.data, - stream=True, - timeout=30, - ) - response.raise_for_status() - - for line in response.iter_lines(decode_unicode=True): - if not line: - continue - list(handle_openai_stream_response(line, True)) - - # Should have triggered a tool call - assert len(TOOL_CALLS) >= 1 - tool_call = list(TOOL_CALLS.values())[0] - assert tool_call.name == "get_weather" - assert "Paris" in tool_call.arguments or "paris" in tool_call.arguments.lower() diff --git a/rust/tests/test_e2e.rs b/tests/test_e2e.rs similarity index 100% rename from rust/tests/test_e2e.rs rename to tests/test_e2e.rs diff --git a/rust/tests/test_output.rs b/tests/test_output.rs similarity index 100% rename from rust/tests/test_output.rs rename to tests/test_output.rs diff --git a/rust/tests/test_providers.rs b/tests/test_providers.rs similarity index 100% rename from rust/tests/test_providers.rs rename to tests/test_providers.rs diff --git a/rust/tests/test_tools.rs b/tests/test_tools.rs similarity index 100% rename from rust/tests/test_tools.rs rename to tests/test_tools.rs diff --git a/rust/tests/test_types_prompts.rs b/tests/test_types_prompts.rs similarity index 100% rename from rust/tests/test_types_prompts.rs rename to tests/test_types_prompts.rs diff --git a/rust/tests/test_websearch.rs b/tests/test_websearch.rs similarity index 100% rename from rust/tests/test_websearch.rs rename to tests/test_websearch.rs diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/tests/unit/test_codesearch.py b/tests/unit/test_codesearch.py deleted file mode 100644 index 19dae61..0000000 --- a/tests/unit/test_codesearch.py +++ /dev/null @@ -1,187 +0,0 @@ -import pytest -from pathlib import Path - -from buzzllm.tools.codesearch import ( - _validate_path, - _paginate_results, - bash_find, - bash_ripgrep, - bash_read, -) - - -class TestValidatePath: - """Tests for path validation. - - Note: CWD is captured at module import time, so we test - against the actual project directory. - """ - - def test_valid_relative_path_exists(self): - # pyproject.toml should exist in the project root - result = _validate_path("pyproject.toml") - assert result == "pyproject.toml" - - def test_valid_src_path(self): - result = _validate_path("src/buzzllm/main.py") - assert result == "src/buzzllm/main.py" - - def test_valid_dot_path(self): - result = _validate_path(".") - assert result == "." - - def test_path_outside_cwd_raises(self): - with pytest.raises(ValueError, match="Path outside CWD not allowed"): - _validate_path("/etc/passwd") - - def test_path_traversal_attack_blocked(self): - with pytest.raises(ValueError, match="Path outside CWD not allowed"): - _validate_path("../../../etc/passwd") - - -class TestPaginateResults: - def test_no_limit_returns_all(self): - items = ["a", "b", "c", "d", "e"] - result = _paginate_results(items, limit=0, offset=0) - - assert result["results"] == items - assert result["total"] == 5 - assert result["returned"] == 5 - assert result["has_more"] is False - - def test_limit_slices_results(self): - items = ["a", "b", "c", "d", "e"] - result = _paginate_results(items, limit=2, offset=0) - - assert result["results"] == ["a", "b"] - assert result["total"] == 5 - assert result["returned"] == 2 - assert result["has_more"] is True - - def test_offset_skips_items(self): - items = ["a", "b", "c", "d", "e"] - result = _paginate_results(items, limit=2, offset=2) - - assert result["results"] == ["c", "d"] - assert result["offset"] == 2 - assert result["has_more"] is True - - def test_offset_beyond_end(self): - items = ["a", "b", "c"] - result = _paginate_results(items, limit=10, offset=10) - - assert result["results"] == [] - assert result["returned"] == 0 - assert result["has_more"] is False - - def test_limit_none_returns_from_offset(self): - items = ["a", "b", "c", "d", "e"] - result = _paginate_results(items, limit=None, offset=2) - - assert result["results"] == ["c", "d", "e"] - assert result["has_more"] is False - - -class TestBashFind: - """Tests run against actual project directory.""" - - def test_finds_files_in_directory(self): - result = bash_find(path=".", limit=0) - - assert "error" not in result - assert result["total"] >= 1 - - def test_finds_python_files(self): - result = bash_find(path="src", name="*.py", limit=0) - - assert "error" not in result - assert result["total"] >= 1 - file_names = result["results"] - assert all(".py" in f for f in file_names) - - def test_pagination(self): - result = bash_find(path=".", limit=1, offset=0) - - if result["total"] > 1: - assert result["returned"] == 1 - assert result["has_more"] is True - - def test_invalid_path_error(self): - with pytest.raises(ValueError, match="Path outside CWD not allowed"): - bash_find(path="/etc") - - def test_directory_type_filter(self): - result = bash_find(path=".", type_filter="d", limit=0) - # Should find src, tests directories - assert "error" not in result - - -class TestBashRipgrep: - """Tests run against actual project directory.""" - - def test_finds_pattern_in_project(self): - # "def " should be found in Python files - result = bash_ripgrep(pattern="def ", files="src", limit=0) - - assert "error" not in result - assert result["total"] >= 1 - - def test_no_matches_returns_error(self): - # Use a pattern that truly doesn't exist (avoid matching this file itself) - result = bash_ripgrep(pattern="qwerty_asdfgh_zxcvbn_99999", files="src") - assert "error" in result - - def test_pagination(self): - result = bash_ripgrep(pattern="import", files="src", limit=2) - - if "error" not in result: - assert result["returned"] <= 2 - - def test_specific_file(self): - result = bash_ripgrep(pattern="name", files="pyproject.toml", limit=0) - - assert "error" not in result - assert result["total"] >= 1 - - def test_invalid_path_error(self): - with pytest.raises(ValueError, match="Path outside CWD not allowed"): - bash_ripgrep(pattern="test", files="/etc/passwd") - - -class TestBashRead: - """Tests run against actual project directory.""" - - def test_reads_file_contents(self): - result = bash_read(filepath="pyproject.toml") - - assert "error" not in result - assert "content" in result - assert "buzzllm" in result["content"] - - def test_reads_source_file(self): - result = bash_read(filepath="src/buzzllm/__init__.py") - - assert "error" not in result - assert "content" in result - - def test_pagination_limit(self): - result = bash_read(filepath="pyproject.toml", limit=1, offset=0) - - assert result["returned"] == 1 - if result["total"] > 1: - assert result["has_more"] is True - - def test_file_not_found(self): - result = bash_read(filepath="nonexistent_file_xyz.py") - assert "error" in result - - def test_path_outside_cwd(self): - with pytest.raises(ValueError, match="Path outside CWD not allowed"): - bash_read(filepath="/etc/passwd") - - def test_returns_line_list_and_content(self): - result = bash_read(filepath="pyproject.toml", limit=0) - - assert isinstance(result["results"], list) - assert isinstance(result["content"], str) - assert result["content"] == "\n".join(result["results"]) diff --git a/tests/unit/test_llm_dataclasses.py b/tests/unit/test_llm_dataclasses.py deleted file mode 100644 index 733d8b0..0000000 --- a/tests/unit/test_llm_dataclasses.py +++ /dev/null @@ -1,114 +0,0 @@ -import json -import pytest -import asyncio - -from buzzllm.llm import LLMOptions, RequestArgs, StreamResponse, ToolCall - - -class TestLLMOptions: - def test_default_values(self): - opts = LLMOptions(model="gpt-4", url="https://api.example.com") - assert opts.model == "gpt-4" - assert opts.url == "https://api.example.com" - assert opts.api_key_name is None - assert opts.max_tokens == 8192 - assert opts.temperature == 0.8 - assert opts.think is False - assert opts.tools is None - assert opts.max_infer_iters == 10 - - def test_custom_values(self): - opts = LLMOptions( - model="claude-3", - url="https://api.anthropic.com", - api_key_name="MY_KEY", - max_tokens=4096, - temperature=0.5, - think=True, - tools=[{"name": "tool1"}], - max_infer_iters=5, - ) - assert opts.max_tokens == 4096 - assert opts.temperature == 0.5 - assert opts.think is True - assert opts.tools == [{"name": "tool1"}] - assert opts.max_infer_iters == 5 - - -class TestRequestArgs: - def test_structure(self): - args = RequestArgs( - data={"messages": [{"role": "user", "content": "hello"}]}, - headers={"Content-Type": "application/json"}, - ) - assert args.data["messages"][0]["content"] == "hello" - assert args.headers["Content-Type"] == "application/json" - - -class TestStreamResponse: - def test_output_text_type(self): - resp = StreamResponse(id="123", delta="Hello", type="output_text") - assert resp.id == "123" - assert resp.delta == "Hello" - assert resp.type == "output_text" - - def test_reasoning_content_type(self): - resp = StreamResponse(id="", delta="thinking...", type="reasoning_content") - assert resp.type == "reasoning_content" - - def test_tool_call_type(self): - resp = StreamResponse(id="", delta="search_web", type="tool_call") - assert resp.type == "tool_call" - - def test_to_json(self): - resp = StreamResponse(id="abc", delta="test", type="output_text") - json_str = resp.to_json() - parsed = json.loads(json_str) - assert parsed["id"] == "abc" - assert parsed["delta"] == "test" - assert parsed["type"] == "output_text" - - def test_to_json_escapes_special_chars(self): - resp = StreamResponse(id="", delta='quote: "hello"', type="output_text") - json_str = resp.to_json() - parsed = json.loads(json_str) - assert parsed["delta"] == 'quote: "hello"' - - -class TestToolCall: - def test_initial_state(self): - tc = ToolCall(id="call_1", name="search", arguments='{"q": "test"}') - assert tc.id == "call_1" - assert tc.name == "search" - assert tc.arguments == '{"q": "test"}' - assert tc.executed is False - assert tc.result is None - - def test_execute_sync_function(self): - def sync_func(x: int, y: int) -> int: - return x + y - - tc = ToolCall(id="1", name="add", arguments='{"x": 2, "y": 3}') - asyncio.run(tc.execute(sync_func)) - - assert tc.executed is True - assert tc.result == 5 - - def test_execute_async_function(self): - async def async_func(name: str) -> str: - return f"Hello, {name}" - - tc = ToolCall(id="2", name="greet", arguments='{"name": "World"}') - asyncio.run(tc.execute(async_func)) - - assert tc.executed is True - assert tc.result == "Hello, World" - - def test_execute_parses_json_arguments(self): - def func(data: dict) -> dict: - return {"received": data} - - tc = ToolCall(id="3", name="process", arguments='{"data": {"key": "value"}}') - asyncio.run(tc.execute(func)) - - assert tc.result == {"received": {"key": "value"}} diff --git a/tests/unit/test_llm_request_args.py b/tests/unit/test_llm_request_args.py deleted file mode 100644 index 71ad730..0000000 --- a/tests/unit/test_llm_request_args.py +++ /dev/null @@ -1,244 +0,0 @@ -import pytest -from unittest.mock import patch, MagicMock - -from buzzllm.llm import ( - LLMOptions, - make_openai_request_args, - make_anthropic_request_args, - make_vertexai_anthropic_request_args, - make_openai_responses_request_args, -) - - -class TestMakeOpenaiRequestArgs: - def test_basic_request_structure(self, env_with_api_keys): - opts = LLMOptions( - model="gpt-4o-mini", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - ) - args = make_openai_request_args(opts, "Hello", "You are helpful") - - assert args.data["model"] == "gpt-4o-mini" - assert args.data["stream"] is True - assert len(args.data["messages"]) == 2 - assert args.data["messages"][0]["role"] == "system" - assert args.data["messages"][0]["content"] == "You are helpful" - assert args.data["messages"][1]["role"] == "user" - assert args.data["messages"][1]["content"] == "Hello" - - def test_headers_with_api_key(self, env_with_api_keys): - opts = LLMOptions( - model="gpt-4o-mini", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - ) - args = make_openai_request_args(opts, "Hello", "System") - - assert args.headers["Content-Type"] == "application/json" - assert args.headers["Authorization"] == "Bearer test-openai-key-xxx" - - def test_headers_without_api_key(self): - opts = LLMOptions( - model="gpt-4o-mini", - url="https://api.openai.com/v1/chat/completions", - api_key_name=None, - ) - args = make_openai_request_args(opts, "Hello", "System") - - assert "Authorization" not in args.headers - - def test_temperature_and_max_tokens(self, env_with_api_keys): - opts = LLMOptions( - model="gpt-4o-mini", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - temperature=0.5, - max_tokens=2048, - ) - args = make_openai_request_args(opts, "Hello", "System") - - assert args.data["temperature"] == 0.5 - assert args.data["max_tokens"] == 2048 - - def test_with_tools(self, env_with_api_keys): - tools = [{"type": "function", "function": {"name": "test"}}] - opts = LLMOptions( - model="gpt-4o-mini", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - tools=tools, - ) - args = make_openai_request_args(opts, "Hello", "System") - - assert args.data["tools"] == tools - - def test_reasoning_model_uses_developer_role(self, env_with_api_keys): - opts = LLMOptions( - model="o3", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - ) - args = make_openai_request_args(opts, "Hello", "System") - - assert args.data["messages"][0]["role"] == "developer" - assert "temperature" not in args.data - assert "max_tokens" not in args.data - - def test_gpt5_1_no_think_mode(self, env_with_api_keys): - opts = LLMOptions( - model="gpt-5.1", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - think=False, - ) - args = make_openai_request_args(opts, "Hello", "System") - - assert args.data["reasoning_effort"] == "none" - - def test_gpt5_1_with_think_mode(self, env_with_api_keys): - opts = LLMOptions( - model="gpt-5.1", - url="https://api.openai.com/v1/chat/completions", - api_key_name="OPENAI_API_KEY", - think=True, - ) - args = make_openai_request_args(opts, "Hello", "System") - - assert args.data["reasoning_effort"] == "high" - - -class TestMakeAnthropicRequestArgs: - def test_basic_request_structure(self, env_with_api_keys): - opts = LLMOptions( - model="claude-sonnet-4-20250514", - url="https://api.anthropic.com/v1/messages", - api_key_name="ANTHROPIC_API_KEY", - ) - args = make_anthropic_request_args(opts, "Hello", "You are helpful") - - assert args.data["model"] == "claude-sonnet-4-20250514" - assert args.data["stream"] is True - assert args.data["system"] == "You are helpful" - assert len(args.data["messages"]) == 1 - assert args.data["messages"][0]["role"] == "user" - assert args.data["messages"][0]["content"] == "Hello" - - def test_headers_with_api_key(self, env_with_api_keys): - opts = LLMOptions( - model="claude-sonnet-4-20250514", - url="https://api.anthropic.com/v1/messages", - api_key_name="ANTHROPIC_API_KEY", - ) - args = make_anthropic_request_args(opts, "Hello", "System") - - assert args.headers["x-api-key"] == "test-anthropic-key-xxx" - assert args.headers["anthropic-version"] == "2023-06-01" - - def test_max_tokens_default(self, env_with_api_keys): - opts = LLMOptions( - model="claude-sonnet-4-20250514", - url="https://api.anthropic.com/v1/messages", - api_key_name="ANTHROPIC_API_KEY", - ) - args = make_anthropic_request_args(opts, "Hello", "System") - - assert args.data["max_tokens"] == 8192 - - def test_thinking_mode_enabled(self, env_with_api_keys): - opts = LLMOptions( - model="claude-sonnet-4-20250514", - url="https://api.anthropic.com/v1/messages", - api_key_name="ANTHROPIC_API_KEY", - think=True, - ) - args = make_anthropic_request_args(opts, "Hello", "System") - - assert args.data["max_tokens"] == 32000 - assert args.data["thinking"]["type"] == "enabled" - assert args.data["thinking"]["budget_tokens"] == 24000 - - def test_with_tools(self, env_with_api_keys): - tools = [{"name": "test", "input_schema": {}}] - opts = LLMOptions( - model="claude-sonnet-4-20250514", - url="https://api.anthropic.com/v1/messages", - api_key_name="ANTHROPIC_API_KEY", - tools=tools, - ) - args = make_anthropic_request_args(opts, "Hello", "System") - - assert args.data["tools"] == tools - - -class TestMakeVertexaiAnthropicRequestArgs: - @patch("subprocess.run") - def test_basic_request_structure(self, mock_run, env_with_api_keys): - mock_run.return_value = MagicMock(stdout="fake-gcloud-token\n") - - opts = LLMOptions( - model="claude-3-5-sonnet@20240620", - url="https://us-central1-aiplatform.googleapis.com/...", - api_key_name=None, - ) - args = make_vertexai_anthropic_request_args(opts, "Hello", "System") - - assert args.data["anthropic_version"] == "vertex-2023-10-16" - assert args.data["system"] == "System" - assert args.data["stream"] is True - - @patch("subprocess.run") - def test_uses_gcloud_auth(self, mock_run, env_with_api_keys): - mock_run.return_value = MagicMock(stdout="fake-gcloud-token\n") - - opts = LLMOptions( - model="claude-3-5-sonnet@20240620", - url="https://us-central1-aiplatform.googleapis.com/...", - ) - args = make_vertexai_anthropic_request_args(opts, "Hello", "System") - - mock_run.assert_called_once() - assert "gcloud" in mock_run.call_args[0][0] - assert args.headers["Authorization"] == "Bearer fake-gcloud-token" - - @patch("subprocess.run") - def test_thinking_mode(self, mock_run, env_with_api_keys): - mock_run.return_value = MagicMock(stdout="token\n") - - opts = LLMOptions( - model="claude-3-5-sonnet@20240620", - url="https://us-central1-aiplatform.googleapis.com/...", - think=True, - ) - args = make_vertexai_anthropic_request_args(opts, "Hello", "System") - - assert args.data["max_tokens"] == 32000 - assert args.data["thinking"]["type"] == "enabled" - - -class TestMakeOpenaiResponsesRequestArgs: - def test_basic_request_structure(self, env_with_api_keys): - opts = LLMOptions( - model="o3", - url="https://api.openai.com/v1/responses", - api_key_name="OPENAI_API_KEY", - ) - args = make_openai_responses_request_args(opts, "Hello", "Instructions") - - assert args.data["model"] == "o3" - assert args.data["input"] == "Hello" - assert args.data["instructions"] == "Instructions" - assert args.data["stream"] is True - assert args.data["store"] is False - assert args.data["reasoning"]["effort"] == "high" - - def test_tools_not_implemented(self, env_with_api_keys): - opts = LLMOptions( - model="o3", - url="https://api.openai.com/v1/responses", - api_key_name="OPENAI_API_KEY", - tools=[{"name": "test"}], - ) - - with pytest.raises(NotImplementedError): - make_openai_responses_request_args(opts, "Hello", "System") diff --git a/tests/unit/test_llm_stream_handlers.py b/tests/unit/test_llm_stream_handlers.py deleted file mode 100644 index 16696dd..0000000 --- a/tests/unit/test_llm_stream_handlers.py +++ /dev/null @@ -1,197 +0,0 @@ -import pytest -import json - -from buzzllm.llm import ( - handle_openai_stream_response, - handle_anthropic_stream_response, - handle_openai_responses_stream_response, - TOOL_CALLS, -) - - -class TestHandleOpenaiStreamResponse: - def test_ignores_non_data_lines(self): - results = list(handle_openai_stream_response("some random line", False)) - assert all(r is None for r in results) - - def test_handles_done_marker(self): - results = list(handle_openai_stream_response("data: [DONE]", True)) - assert any(r is not None and r.type == "block_end" for r in results) - - def test_response_start(self): - line = 'data: {"id":"chatcmpl-123","choices":[]}' - results = list(handle_openai_stream_response(line, False)) - response_starts = [r for r in results if r and r.type == "response_start"] - assert len(response_starts) == 1 - assert response_starts[0].id == "chatcmpl-123" - - def test_content_delta(self): - line = 'data: {"id":"123","choices":[{"delta":{"content":"Hello"}}]}' - results = list(handle_openai_stream_response(line, True)) - text_responses = [r for r in results if r and r.type == "output_text"] - assert len(text_responses) == 1 - assert text_responses[0].delta == "Hello" - - def test_reasoning_content(self): - line = 'data: {"id":"123","choices":[{"delta":{"reasoning":"thinking..."}}]}' - results = list(handle_openai_stream_response(line, True)) - reasoning = [r for r in results if r and r.type == "reasoning_content"] - assert len(reasoning) == 1 - - def test_tool_call_start(self): - line = 'data: {"id":"123","choices":[{"delta":{"tool_calls":[{"id":"call_abc","function":{"name":"search_web","arguments":""}}]}}]}' - results = list(handle_openai_stream_response(line, True)) - - tool_calls = [r for r in results if r and r.type == "tool_call"] - assert len(tool_calls) == 1 - assert "call_abc" in TOOL_CALLS - assert TOOL_CALLS["call_abc"].name == "search_web" - - def test_tool_call_arguments_accumulate(self): - # First chunk with id and name - line1 = 'data: {"id":"123","choices":[{"delta":{"tool_calls":[{"id":"call_xyz","function":{"name":"test","arguments":"{\\"q"}}]}}]}' - list(handle_openai_stream_response(line1, True)) - - # Second chunk with more arguments - line2 = 'data: {"id":"123","choices":[{"delta":{"tool_calls":[{"function":{"arguments":"\\": \\"value\\"}"}}]}}]}' - list(handle_openai_stream_response(line2, True)) - - assert "call_xyz" in TOOL_CALLS - assert TOOL_CALLS["call_xyz"].arguments == '{"q": "value"}' - - def test_empty_choices_yields_none(self): - line = 'data: {"id":"123","choices":[]}' - results = list(handle_openai_stream_response(line, True)) - # Should not crash, may yield None - assert all(r is None or r.type == "response_start" for r in results) - - def test_invalid_json_yields_none(self): - line = "data: {invalid json}" - results = list(handle_openai_stream_response(line, True)) - assert all(r is None for r in results) - - -class TestHandleAnthropicStreamResponse: - def test_skips_event_lines(self): - results = list(handle_anthropic_stream_response("event: message_start", False)) - assert all(r is None for r in results) - - def test_ignores_non_data_lines(self): - results = list(handle_anthropic_stream_response("random line", False)) - assert all(r is None for r in results) - - def test_message_start(self): - data = {"type": "message_start", "message": {"id": "msg_123"}} - line = f"data: {json.dumps(data)}" - results = list(handle_anthropic_stream_response(line, False)) - starts = [r for r in results if r and r.type == "response_start"] - assert len(starts) == 1 - assert starts[0].id == "msg_123" - - def test_content_block_start_tool_use(self): - data = { - "type": "content_block_start", - "content_block": {"type": "tool_use", "id": "tool_123", "name": "search"}, - } - line = f"data: {json.dumps(data)}" - results = list(handle_anthropic_stream_response(line, True)) - - tool_calls = [r for r in results if r and r.type == "tool_call"] - assert len(tool_calls) == 1 - assert "tool_123" in TOOL_CALLS - assert TOOL_CALLS["tool_123"].name == "search" - - def test_content_block_delta_text(self): - data = {"type": "content_block_delta", "delta": {"text": "Hello world"}} - line = f"data: {json.dumps(data)}" - results = list(handle_anthropic_stream_response(line, True)) - - texts = [r for r in results if r and r.type == "output_text"] - assert len(texts) == 1 - assert texts[0].delta == "Hello world" - - def test_content_block_delta_thinking(self): - data = {"type": "content_block_delta", "delta": {"thinking": "pondering..."}} - line = f"data: {json.dumps(data)}" - results = list(handle_anthropic_stream_response(line, True)) - - thinking = [r for r in results if r and r.type == "reasoning_content"] - assert len(thinking) == 1 - assert thinking[0].delta == "pondering..." - - def test_content_block_delta_partial_json(self): - # First set up a tool call - start_data = { - "type": "content_block_start", - "content_block": {"type": "tool_use", "id": "tool_abc", "name": "func"}, - } - list(handle_anthropic_stream_response(f"data: {json.dumps(start_data)}", True)) - - # Then send partial JSON - delta_data = {"type": "content_block_delta", "delta": {"partial_json": '{"x": 1}'}} - results = list( - handle_anthropic_stream_response(f"data: {json.dumps(delta_data)}", True) - ) - - tool_calls = [r for r in results if r and r.type == "tool_call"] - assert len(tool_calls) == 1 - assert TOOL_CALLS["tool_abc"].arguments == '{"x": 1}' - - def test_message_stop(self): - data = {"type": "message_stop"} - line = f"data: {json.dumps(data)}" - results = list(handle_anthropic_stream_response(line, True)) - - ends = [r for r in results if r and r.type == "block_end"] - assert len(ends) == 1 - - def test_invalid_json_yields_none(self): - line = "data: {not valid json" - results = list(handle_anthropic_stream_response(line, True)) - assert all(r is None for r in results) - - -class TestHandleOpenaiResponsesStreamResponse: - def test_ignores_non_data_lines(self): - results = list(handle_openai_responses_stream_response("random", False)) - assert all(r is None for r in results) - - def test_response_created(self): - data = {"type": "response.created", "response": {"id": "resp_123"}} - line = f"data: {json.dumps(data)}" - results = list(handle_openai_responses_stream_response(line, False)) - - starts = [r for r in results if r and r.type == "response_start"] - assert len(starts) == 1 - assert starts[0].id == "resp_123" - - def test_output_text_delta(self): - data = {"type": "response.output_text.delta", "delta": "Hello"} - line = f"data: {json.dumps(data)}" - results = list(handle_openai_responses_stream_response(line, True)) - - texts = [r for r in results if r and r.type == "output_text"] - assert len(texts) == 1 - assert texts[0].delta == "Hello" - - def test_reasoning_summary_delta(self): - data = {"type": "response.reasoning_summary_text.delta", "delta": "Summary"} - line = f"data: {json.dumps(data)}" - results = list(handle_openai_responses_stream_response(line, True)) - - reasoning = [r for r in results if r and r.type == "reasoning_content"] - assert len(reasoning) == 1 - assert reasoning[0].delta == "Summary" - - def test_response_completed(self): - data = {"type": "response.completed"} - line = f"data: {json.dumps(data)}" - results = list(handle_openai_responses_stream_response(line, True)) - - ends = [r for r in results if r and r.type == "block_end"] - assert len(ends) == 1 - - def test_invalid_json_yields_none(self): - line = "data: broken{" - results = list(handle_openai_responses_stream_response(line, True)) - assert all(r is None for r in results) diff --git a/tests/unit/test_llm_tool_messages.py b/tests/unit/test_llm_tool_messages.py deleted file mode 100644 index d00e12c..0000000 --- a/tests/unit/test_llm_tool_messages.py +++ /dev/null @@ -1,152 +0,0 @@ -import pytest - -from buzzllm.llm import ( - ToolCall, - tool_call_response_to_openai_messages, - tool_call_response_to_anthropic_messages, -) - - -class TestToolCallResponseToOpenaiMessages: - def test_empty_tool_calls_no_op(self): - messages = [{"role": "user", "content": "hello"}] - tool_call_response_to_openai_messages(messages, {}) - assert len(messages) == 1 - - def test_single_tool_call(self): - messages = [{"role": "user", "content": "hello"}] - tool_calls = { - "call_1": ToolCall( - id="call_1", - name="search_web", - arguments='{"query": "test"}', - executed=True, - result="Found results", - ) - } - - tool_call_response_to_openai_messages(messages, tool_calls) - - assert len(messages) == 3 - # Assistant message with tool_calls - assert messages[1]["role"] == "assistant" - assert len(messages[1]["tool_calls"]) == 1 - assert messages[1]["tool_calls"][0]["id"] == "call_1" - assert messages[1]["tool_calls"][0]["type"] == "function" - assert messages[1]["tool_calls"][0]["function"]["name"] == "search_web" - assert messages[1]["tool_calls"][0]["function"]["arguments"] == '{"query": "test"}' - - # Tool result message - assert messages[2]["role"] == "tool" - assert messages[2]["tool_call_id"] == "call_1" - assert messages[2]["content"] == "Found results" - - def test_multiple_tool_calls(self): - messages = [] - tool_calls = { - "call_1": ToolCall( - id="call_1", name="func1", arguments="{}", executed=True, result="res1" - ), - "call_2": ToolCall( - id="call_2", name="func2", arguments="{}", executed=True, result="res2" - ), - } - - tool_call_response_to_openai_messages(messages, tool_calls) - - # 1 assistant message + 2 tool messages - assert len(messages) == 3 - assert len(messages[0]["tool_calls"]) == 2 - assert messages[1]["role"] == "tool" - assert messages[2]["role"] == "tool" - - def test_preserves_existing_messages(self): - messages = [ - {"role": "system", "content": "sys"}, - {"role": "user", "content": "user"}, - ] - tool_calls = { - "call_1": ToolCall( - id="call_1", name="test", arguments="{}", executed=True, result="ok" - ) - } - - tool_call_response_to_openai_messages(messages, tool_calls) - - assert messages[0]["role"] == "system" - assert messages[1]["role"] == "user" - assert messages[2]["role"] == "assistant" - assert messages[3]["role"] == "tool" - - -class TestToolCallResponseToAnthropicMessages: - def test_empty_tool_calls_no_op(self): - messages = [{"role": "user", "content": "hello"}] - tool_call_response_to_anthropic_messages(messages, {}) - assert len(messages) == 1 - - def test_single_tool_call(self): - messages = [{"role": "user", "content": "hello"}] - tool_calls = { - "tool_1": ToolCall( - id="tool_1", - name="search", - arguments='{"q": "test"}', - executed=True, - result="Search result", - ) - } - - tool_call_response_to_anthropic_messages(messages, tool_calls) - - assert len(messages) == 3 - # Assistant message with tool_use content blocks - assert messages[1]["role"] == "assistant" - assert len(messages[1]["content"]) == 1 - assert messages[1]["content"][0]["type"] == "tool_use" - assert messages[1]["content"][0]["id"] == "tool_1" - assert messages[1]["content"][0]["name"] == "search" - assert messages[1]["content"][0]["input"] == {"q": "test"} - - # User message with tool_result content blocks - assert messages[2]["role"] == "user" - assert len(messages[2]["content"]) == 1 - assert messages[2]["content"][0]["type"] == "tool_result" - assert messages[2]["content"][0]["tool_use_id"] == "tool_1" - assert messages[2]["content"][0]["content"] == "Search result" - - def test_multiple_tool_calls(self): - messages = [] - tool_calls = { - "t1": ToolCall( - id="t1", name="f1", arguments='{"a": 1}', executed=True, result="r1" - ), - "t2": ToolCall( - id="t2", name="f2", arguments='{"b": 2}', executed=True, result="r2" - ), - } - - tool_call_response_to_anthropic_messages(messages, tool_calls) - - # 1 assistant + 1 user message - assert len(messages) == 2 - assert len(messages[0]["content"]) == 2 # 2 tool_use blocks - assert len(messages[1]["content"]) == 2 # 2 tool_result blocks - - def test_arguments_parsed_to_dict(self): - messages = [] - tool_calls = { - "t1": ToolCall( - id="t1", - name="func", - arguments='{"nested": {"key": "value"}, "list": [1, 2, 3]}', - executed=True, - result="ok", - ) - } - - tool_call_response_to_anthropic_messages(messages, tool_calls) - - input_obj = messages[0]["content"][0]["input"] - assert input_obj["nested"]["key"] == "value" - assert input_obj["list"] == [1, 2, 3] diff --git a/tests/unit/test_main_parse_args.py b/tests/unit/test_main_parse_args.py deleted file mode 100644 index c7cddfb..0000000 --- a/tests/unit/test_main_parse_args.py +++ /dev/null @@ -1,264 +0,0 @@ -import pytest -import sys -from unittest.mock import patch - - -class TestParseArgs: - def test_required_positional_args(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "gpt-4o-mini", - "https://api.openai.com/v1/chat/completions", - "Hello world", - "--provider", - "openai-chat", - "--api-key-name", - "OPENAI_API_KEY", - ] - - with patch.object(sys, "argv", test_args): - args = parse_args() - - assert args.model == "gpt-4o-mini" - assert args.url == "https://api.openai.com/v1/chat/completions" - assert args.prompt == "Hello world" - assert args.provider == "openai-chat" - assert args.api_key_name == "OPENAI_API_KEY" - - def test_default_values(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "openai-chat", - "--api-key-name", - "KEY", - ] - - with patch.object(sys, "argv", test_args): - args = parse_args() - - assert args.max_tokens == 8192 - assert args.temperature == 0.8 - assert args.think is False - assert args.sse is False - - def test_custom_max_tokens(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "openai-chat", - "--api-key-name", - "KEY", - "--max-tokens", - "4096", - ] - - with patch.object(sys, "argv", test_args): - args = parse_args() - - assert args.max_tokens == 4096 - - def test_custom_temperature(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "openai-chat", - "--api-key-name", - "KEY", - "--temperature", - "0.5", - ] - - with patch.object(sys, "argv", test_args): - args = parse_args() - - assert args.temperature == 0.5 - - def test_think_flag(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "openai-chat", - "--api-key-name", - "KEY", - "--think", - ] - - with patch.object(sys, "argv", test_args): - args = parse_args() - - assert args.think is True - - def test_sse_flag_short(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "openai-chat", - "--api-key-name", - "KEY", - "-S", - ] - - with patch.object(sys, "argv", test_args): - args = parse_args() - - assert args.sse is True - - def test_sse_flag_long(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "openai-chat", - "--api-key-name", - "KEY", - "--sse", - ] - - with patch.object(sys, "argv", test_args): - args = parse_args() - - assert args.sse is True - - def test_provider_choices(self): - from buzzllm.main import parse_args - - for provider in ["openai-chat", "openai-responses", "anthropic", "vertexai-anthropic"]: - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - provider, - "--api-key-name", - "KEY", - ] - - with patch.object(sys, "argv", test_args): - args = parse_args() - - assert args.provider == provider - - def test_invalid_provider_exits(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "invalid-provider", - "--api-key-name", - "KEY", - ] - - with patch.object(sys, "argv", test_args): - with pytest.raises(SystemExit): - parse_args() - - def test_missing_provider_exits(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--api-key-name", - "KEY", - ] - - with patch.object(sys, "argv", test_args): - with pytest.raises(SystemExit): - parse_args() - - def test_missing_api_key_name_exits(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "openai-chat", - ] - - with patch.object(sys, "argv", test_args): - with pytest.raises(SystemExit): - parse_args() - - def test_system_prompt_custom_text(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "openai-chat", - "--api-key-name", - "KEY", - "--system-prompt", - "You are a helpful assistant", - ] - - with patch.object(sys, "argv", test_args): - args = parse_args() - - assert args.system_prompt == "You are a helpful assistant" - - def test_system_prompt_template_name(self): - from buzzllm.main import parse_args - - test_args = [ - "buzzllm", - "model", - "http://localhost", - "prompt", - "--provider", - "openai-chat", - "--api-key-name", - "KEY", - "--system-prompt", - "websearch", - ] - - with patch.object(sys, "argv", test_args): - args = parse_args() - - assert args.system_prompt == "websearch" diff --git a/tests/unit/test_pythonexec.py b/tests/unit/test_pythonexec.py deleted file mode 100644 index bb56419..0000000 --- a/tests/unit/test_pythonexec.py +++ /dev/null @@ -1,186 +0,0 @@ -import pytest -import json -from unittest.mock import patch, MagicMock - -from tests.conftest import skip_if_no_docker - - -class TestFindAvailablePort: - def test_finds_port_in_range(self): - from buzzllm.tools.pythonexec import _find_available_port - - with patch("socket.socket") as mock_socket: - mock_sock_instance = MagicMock() - mock_socket.return_value.__enter__.return_value = mock_sock_instance - # First port fails, second succeeds - mock_sock_instance.bind.side_effect = [OSError(), None] - - port = _find_available_port(start_port=3000, end_port=3010) - - assert port == 3001 - - def test_returns_none_when_no_ports_available(self): - from buzzllm.tools.pythonexec import _find_available_port - - with patch("socket.socket") as mock_socket: - mock_sock_instance = MagicMock() - mock_socket.return_value.__enter__.return_value = mock_sock_instance - mock_sock_instance.bind.side_effect = OSError() - - port = _find_available_port(start_port=3000, end_port=3002) - - assert port is None - - -class TestPythonExecute: - def test_empty_code_returns_error(self): - from buzzllm.tools.pythonexec import python_execute - - result = python_execute("") - assert result["stderr"] == "No code provided" - assert result["stdout"] == "" - - def test_whitespace_only_returns_error(self): - from buzzllm.tools.pythonexec import python_execute - - result = python_execute(" \n\t ") - assert result["stderr"] == "No code provided" - - @patch("buzzllm.tools.pythonexec._start_container") - @patch("socket.create_connection") - def test_sends_code_to_container(self, mock_conn, mock_start): - from buzzllm.tools.pythonexec import python_execute - - # Mock socket response - mock_sock = MagicMock() - mock_conn.return_value.__enter__.return_value = mock_sock - mock_sock.recv.side_effect = [ - json.dumps({"stdout": "hello\n", "stderr": "", "result": None}).encode(), - b"", - ] - - result = python_execute("print('hello')") - - assert result["stdout"] == "hello\n" - assert result["stderr"] == "" - mock_start.assert_called_once() - - @patch("buzzllm.tools.pythonexec._start_container") - @patch("socket.create_connection") - def test_truncates_large_output(self, mock_conn, mock_start): - from buzzllm.tools.pythonexec import python_execute - - large_output = "x" * 20000 - response_json = json.dumps({"stdout": large_output, "stderr": "", "result": None}).encode() - mock_sock = MagicMock() - mock_conn.return_value.__enter__.return_value = mock_sock - # Return the full response in one chunk, then empty to signal end - mock_sock.recv.side_effect = [response_json, b""] - - result = python_execute("print('x' * 20000)") - - # Check truncation happened (10000 chars + "... (truncated)" suffix) - assert len(result["stdout"]) < 20000 - assert "truncated" in result["stdout"] - - @patch("buzzllm.tools.pythonexec._start_container") - def test_handles_container_start_failure(self, mock_start): - from buzzllm.tools.pythonexec import python_execute - - mock_start.side_effect = RuntimeError("Docker not available") - - result = python_execute("print('test')") - - assert "Execution failed" in result["stderr"] - - @patch("buzzllm.tools.pythonexec._start_container") - @patch("socket.create_connection") - def test_handles_no_response(self, mock_conn, mock_start): - from buzzllm.tools.pythonexec import python_execute - - mock_sock = MagicMock() - mock_conn.return_value.__enter__.return_value = mock_sock - mock_sock.recv.return_value = b"" - - result = python_execute("print('test')") - - assert result["stderr"] == "No response from container" - - -class TestContainerManagement: - @patch("buzzllm.tools.pythonexec._get_docker_client") - @patch("buzzllm.tools.pythonexec._find_available_port") - @patch("socket.create_connection") - @patch("time.sleep") - def test_start_container_creates_container( - self, mock_sleep, mock_conn, mock_port, mock_client - ): - from buzzllm.tools import pythonexec - - # Reset global state - pythonexec._container = None - pythonexec._port = None - - mock_port.return_value = 5000 - mock_docker = MagicMock() - mock_container = MagicMock() - mock_container.status = "running" - mock_docker.containers.run.return_value = mock_container - mock_client.return_value = mock_docker - - pythonexec._start_container() - - mock_docker.containers.run.assert_called_once() - assert pythonexec._port == 5000 - - # Cleanup - pythonexec._container = None - pythonexec._port = None - - def test_kill_container_cleans_up(self): - from buzzllm.tools import pythonexec - - mock_container = MagicMock() - pythonexec._container = mock_container - pythonexec._port = 5000 - - pythonexec._kill_container() - - mock_container.kill.assert_called_once() - assert pythonexec._container is None - assert pythonexec._port is None - - -@pytest.mark.docker -@skip_if_no_docker -class TestPythonExecuteWithDocker: - """Tests that require Docker to be running""" - - def test_executes_simple_code(self): - from buzzllm.tools.pythonexec import python_execute, cleanup_python_exec - - try: - result = python_execute("print(2 + 2)") - assert "4" in result["stdout"] - assert result["stderr"] == "" - finally: - cleanup_python_exec() - - def test_returns_computation_result(self): - from buzzllm.tools.pythonexec import python_execute, cleanup_python_exec - - try: - result = python_execute("x = 10 * 5\nx") - # Result should contain 50 - assert result["result"] == 50 or "50" in str(result) - finally: - cleanup_python_exec() - - def test_captures_errors(self): - from buzzllm.tools.pythonexec import python_execute, cleanup_python_exec - - try: - result = python_execute("raise ValueError('test error')") - assert "ValueError" in result["stderr"] or "error" in result["stderr"].lower() - finally: - cleanup_python_exec() diff --git a/tests/unit/test_utils.py b/tests/unit/test_utils.py deleted file mode 100644 index 69d3a53..0000000 --- a/tests/unit/test_utils.py +++ /dev/null @@ -1,164 +0,0 @@ -import pytest -from typing import Optional, Union, List, Dict - -from buzzllm.tools.utils import ( - add_tool, - callable_to_openai_schema, - callable_to_anthropic_schema, - _python_type_to_json_schema, - AVAILABLE_TOOLS, -) - - -class TestAddTool: - def test_add_tool_registers_function(self): - def my_tool(): - """A tool""" - pass - - add_tool(my_tool) - assert "my_tool" in AVAILABLE_TOOLS - assert AVAILABLE_TOOLS["my_tool"] is my_tool - - def test_add_tool_overwrites_existing(self): - def my_tool(): - """First version""" - pass - - def my_tool(): # noqa: F811 - """Second version""" - pass - - add_tool(my_tool) - assert AVAILABLE_TOOLS["my_tool"].__doc__ == "Second version" - - -class TestCallableToOpenaiSchema: - def test_basic_function_with_docstring(self, sample_function_with_docstring): - schema = callable_to_openai_schema(sample_function_with_docstring) - - assert schema["type"] == "function" - assert schema["function"]["name"] == "my_func" - assert "sample function" in schema["function"]["description"] - assert schema["function"]["parameters"]["type"] == "object" - assert "name" in schema["function"]["parameters"]["properties"] - assert "count" in schema["function"]["parameters"]["properties"] - assert schema["function"]["parameters"]["required"] == ["name"] - - def test_function_without_docstring_raises(self, sample_function_without_docstring): - with pytest.raises(ValueError, match="neither docstring"): - callable_to_openai_schema(sample_function_without_docstring) - - def test_custom_description_overrides_docstring(self, sample_function_with_docstring): - schema = callable_to_openai_schema( - sample_function_with_docstring, desc="Custom description" - ) - assert schema["function"]["description"] == "Custom description" - - def test_type_conversion_str(self): - def func(x: str): - """Doc""" - pass - - schema = callable_to_openai_schema(func) - assert schema["function"]["parameters"]["properties"]["x"]["type"] == "string" - - def test_type_conversion_int(self): - def func(x: int): - """Doc""" - pass - - schema = callable_to_openai_schema(func) - assert schema["function"]["parameters"]["properties"]["x"]["type"] == "integer" - - def test_type_conversion_float(self): - def func(x: float): - """Doc""" - pass - - schema = callable_to_openai_schema(func) - assert schema["function"]["parameters"]["properties"]["x"]["type"] == "number" - - def test_type_conversion_bool(self): - def func(x: bool): - """Doc""" - pass - - schema = callable_to_openai_schema(func) - assert schema["function"]["parameters"]["properties"]["x"]["type"] == "boolean" - - def test_optional_param_not_required(self): - def func(x: str, y: int = 5): - """Doc""" - pass - - schema = callable_to_openai_schema(func) - assert "x" in schema["function"]["parameters"]["required"] - assert "y" not in schema["function"]["parameters"]["required"] - - -class TestCallableToAnthropicSchema: - def test_basic_function_with_docstring(self, sample_function_with_docstring): - schema = callable_to_anthropic_schema(sample_function_with_docstring) - - assert schema["name"] == "my_func" - assert "sample function" in schema["description"] - assert schema["input_schema"]["type"] == "object" - assert "name" in schema["input_schema"]["properties"] - assert schema["input_schema"]["required"] == ["name"] - - def test_function_without_docstring_raises(self, sample_function_without_docstring): - with pytest.raises(ValueError, match="neither docstring"): - callable_to_anthropic_schema(sample_function_without_docstring) - - def test_has_input_schema_not_parameters(self, sample_function_with_docstring): - schema = callable_to_anthropic_schema(sample_function_with_docstring) - assert "input_schema" in schema - assert "parameters" not in schema - - -class TestPythonTypeToJsonSchema: - def test_str(self): - assert _python_type_to_json_schema(str) == {"type": "string"} - - def test_int(self): - assert _python_type_to_json_schema(int) == {"type": "integer"} - - def test_float(self): - assert _python_type_to_json_schema(float) == {"type": "number"} - - def test_bool(self): - assert _python_type_to_json_schema(bool) == {"type": "boolean"} - - def test_list_unparameterized(self): - assert _python_type_to_json_schema(list) == {"type": "array"} - - def test_dict_unparameterized(self): - assert _python_type_to_json_schema(dict) == {"type": "object"} - - def test_list_parameterized(self): - result = _python_type_to_json_schema(List[str]) - assert result == {"type": "array", "items": {"type": "string"}} - - def test_dict_parameterized(self): - result = _python_type_to_json_schema(Dict[str, int]) - assert result == {"type": "object", "additionalProperties": {"type": "integer"}} - - def test_optional_type(self): - result = _python_type_to_json_schema(Optional[str]) - assert result == {"type": ["string", "null"]} - - def test_union_type(self): - result = _python_type_to_json_schema(Union[str, int]) - assert result == {"type": ["string", "integer"]} - - def test_none_type(self): - result = _python_type_to_json_schema(type(None)) - assert result == {"type": "null"} - - def test_unsupported_type_raises(self): - class CustomClass: - pass - - with pytest.raises(NotImplementedError): - _python_type_to_json_schema(CustomClass) diff --git a/tests/unit/test_websearch.py b/tests/unit/test_websearch.py deleted file mode 100644 index 91d4546..0000000 --- a/tests/unit/test_websearch.py +++ /dev/null @@ -1,237 +0,0 @@ -import pytest -import responses -import respx -import httpx -from unittest.mock import patch, MagicMock, AsyncMock - - -class TestSearchDuckDuckGo: - @responses.activate - @pytest.mark.asyncio - async def test_parses_html_results(self, mock_duckduckgo_html): - from buzzllm.tools.websearch import _search_duckduckgo - - responses.add( - responses.GET, - "https://lite.duckduckgo.com/lite/", - body=mock_duckduckgo_html, - status=200, - ) - - results = await _search_duckduckgo("test query") - - assert len(results) >= 1 - assert results[0]["title"] == "Example Title" - assert results[0]["url"] == "https://example.com" - - @responses.activate - @pytest.mark.asyncio - async def test_empty_query_returns_empty(self): - from buzzllm.tools.websearch import _search_duckduckgo - - results = await _search_duckduckgo("") - assert results == [] - - @responses.activate - @pytest.mark.asyncio - async def test_bot_detection_raises(self): - from buzzllm.tools.websearch import ( - _search_duckduckgo, - DuckDuckGoBotDetectedError, - ) - - responses.add( - responses.GET, - "https://lite.duckduckgo.com/lite/", - body="", - status=200, - ) - - with pytest.raises(DuckDuckGoBotDetectedError): - await _search_duckduckgo("test") - - @responses.activate - @pytest.mark.asyncio - async def test_202_status_raises(self): - from buzzllm.tools.websearch import ( - _search_duckduckgo, - DuckDuckGoBotDetectedError, - ) - - responses.add( - responses.GET, - "https://lite.duckduckgo.com/lite/", - body="", - status=202, - ) - - with pytest.raises(DuckDuckGoBotDetectedError): - await _search_duckduckgo("test") - - -class TestSearchBrave: - @respx.mock - @pytest.mark.asyncio - async def test_parses_json_results(self, mock_brave_json, env_with_api_keys): - from buzzllm.tools.websearch import _search_brave - - respx.get("https://api.search.brave.com/res/v1/web/search").mock( - return_value=httpx.Response(200, json=mock_brave_json) - ) - - results = await _search_brave("test query") - - assert len(results) == 1 - assert results[0]["title"] == "Example Title" - assert results[0]["url"] == "https://example.com" - assert results[0]["description"] == "Example description" - - @respx.mock - @pytest.mark.asyncio - async def test_retries_on_http_error(self, mock_brave_json, env_with_api_keys): - from buzzllm.tools.websearch import _search_brave - - call_count = {"count": 0} - - def handler(request): - call_count["count"] += 1 - if call_count["count"] == 1: - return httpx.Response(500) - return httpx.Response(200, json=mock_brave_json) - - respx.get("https://api.search.brave.com/res/v1/web/search").mock( - side_effect=handler - ) - - results = await _search_brave("test query") - - assert len(results) == 1 - assert call_count["count"] == 2 - - @pytest.mark.asyncio - async def test_empty_query_returns_empty(self, env_with_api_keys): - from buzzllm.tools.websearch import _search_brave - - results = await _search_brave("") - assert results == [] - - @respx.mock - @pytest.mark.asyncio - async def test_missing_api_key_raises(self, monkeypatch): - from buzzllm.tools.websearch import _search_brave - from tenacity import RetryError - - monkeypatch.delenv("BRAVE_SEARCH_AI_API_KEY", raising=False) - - with pytest.raises(RetryError): - await _search_brave("test") - - -class TestSearchWeb: - @responses.activate - @pytest.mark.asyncio - async def test_uses_duckduckgo_by_default(self, mock_duckduckgo_html): - from buzzllm.tools.websearch import search_web - - responses.add( - responses.GET, - "https://lite.duckduckgo.com/lite/", - body=mock_duckduckgo_html, - status=200, - ) - - results = await search_web("test") - assert len(results) >= 1 - - @responses.activate - @respx.mock - @pytest.mark.asyncio - async def test_falls_back_to_brave_on_duckduckgo_failure( - self, mock_brave_json, env_with_api_keys - ): - from buzzllm.tools.websearch import search_web - - # DuckDuckGo fails all retries - for _ in range(5): - responses.add( - responses.GET, - "https://lite.duckduckgo.com/lite/", - body="error", - status=500, - ) - - # Brave succeeds - respx.get("https://api.search.brave.com/res/v1/web/search").mock( - return_value=httpx.Response(200, json=mock_brave_json) - ) - - results = await search_web("test") - assert len(results) >= 1 - - @responses.activate - @respx.mock - @pytest.mark.asyncio - async def test_falls_back_to_brave_on_bot_detection( - self, mock_brave_json, env_with_api_keys - ): - from buzzllm.tools.websearch import search_web - - responses.add( - responses.GET, - "https://lite.duckduckgo.com/lite/", - body="", - status=200, - ) - - respx.get("https://api.search.brave.com/res/v1/web/search").mock( - return_value=httpx.Response(200, json=mock_brave_json) - ) - - results = await search_web("test") - assert len(results) == 1 - - -class TestScrapeWebpage: - @pytest.mark.asyncio - async def test_returns_markdown(self): - from buzzllm.tools.websearch import scrape_webpage - - # Mock _ensure_chromium and AsyncWebCrawler - with patch("buzzllm.tools.websearch._ensure_chromium"): - with patch("buzzllm.tools.websearch._fetch_markdown") as mock_fetch: - mock_fetch.return_value = "# Hello World\n\nThis is content." - - result = await scrape_webpage("https://example.com") - - assert "Hello World" in result - mock_fetch.assert_called_once_with("https://example.com") - - @pytest.mark.asyncio - async def test_error_handling(self): - from buzzllm.tools.websearch import scrape_webpage - - with patch("buzzllm.tools.websearch._ensure_chromium"): - with patch("buzzllm.tools.websearch._fetch_markdown") as mock_fetch: - mock_fetch.return_value = "Error scraping https://bad.com: timeout" - - result = await scrape_webpage("https://bad.com") - - assert "Error" in result - - -class TestEnsureChromium: - def test_checks_installation(self): - from buzzllm.tools.websearch import _ensure_chromium - - with patch("subprocess.run") as mock_run: - mock_run.return_value = MagicMock(stdout="is already installed") - 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Restore python_runtime_docker/ directory (Rust pythonexec tool dependency) - Directory was erroneously deleted as Python implementation, but is required by src/tools/pythonexec.rs which hardcodes buzz/python-exec:latest Docker image - Fixes AGENTS.md:26 and README.md:137 references to deleted directory --- python_runtime_docker/Dockerfile | 12 +++ python_runtime_docker/build_docker.sh | 23 +++++ python_runtime_docker/kernel_server.py | 113 +++++++++++++++++++++++++ 3 files changed, 148 insertions(+) create mode 100644 python_runtime_docker/Dockerfile create mode 100755 python_runtime_docker/build_docker.sh create mode 100644 python_runtime_docker/kernel_server.py diff --git a/python_runtime_docker/Dockerfile b/python_runtime_docker/Dockerfile new file mode 100644 index 0000000..50cb80a --- /dev/null +++ b/python_runtime_docker/Dockerfile @@ -0,0 +1,12 @@ +FROM python:3.11-slim + +RUN apt-get update && \ + apt-get install -y --no-install-recommends build-essential && \ + pip install --no-cache-dir ipython ipykernel jupyter_client numpy pandas matplotlib && \ + rm -rf /var/lib/apt/lists/* + +COPY kernel_server.py /kernel_server.py + +EXPOSE 8787 + +ENTRYPOINT ["python", "/kernel_server.py"] diff --git a/python_runtime_docker/build_docker.sh b/python_runtime_docker/build_docker.sh new file mode 100755 index 0000000..f33d639 --- /dev/null +++ b/python_runtime_docker/build_docker.sh @@ -0,0 +1,23 @@ +#!/bin/bash + +build_python_exec() { + docker build -t buzz/python-exec:latest -f Dockerfile . +} + +clean_python_exec() { + docker rmi buzz/python-exec:latest 2>/dev/null || true + docker system prune -f +} + +case "$1" in + build-python-exec) + build_python_exec + ;; + clean-python-exec) + clean_python_exec + ;; + *) + echo "Usage: $0 {build-python-exec|clean-python-exec}" + exit 1 + ;; +esac diff --git a/python_runtime_docker/kernel_server.py b/python_runtime_docker/kernel_server.py new file mode 100644 index 0000000..4d548bb --- /dev/null +++ b/python_runtime_docker/kernel_server.py @@ -0,0 +1,113 @@ +import json +import socket +import traceback +import threading +import time +from jupyter_client import KernelManager + + +class KernelServer: + def __init__(self): + self.km = KernelManager() + self.km.start_kernel() + self.kc = self.km.client() + self.kc.start_channels() + + # Wait for kernel to be ready + while True: + try: + self.kc.kernel_info() + break + except Exception: + time.sleep(0.1) + + def execute(self, code): + """Execute code and return stdout, stderr, and result""" + msg_id = self.kc.execute(code) + outs, errs, result = [], [], None + + while True: + try: + msg = self.kc.get_iopub_msg(timeout=30) + + if msg['header']['msg_type'] == 'execute_result': + result = msg['content']['data'].get('text/plain', '') + elif msg['header']['msg_type'] == 'stream': + if msg['content']['name'] == 'stdout': + outs.append(msg['content']['text']) + else: + errs.append(msg['content']['text']) + elif msg['header']['msg_type'] == 'error': + errs.append('\n'.join(msg['content']['traceback'])) + elif (msg['header']['msg_type'] == 'status' and + msg['content']['execution_state'] == 'idle'): + break + + except Exception as e: + errs.append(f"Kernel error: {str(e)}") + break + + return { + 'stdout': ''.join(outs), + 'stderr': ''.join(errs), + 'result': result + } + + def handle_client(self, conn): + """Handle a single client connection""" + try: + data = conn.recv(65536) + if not data: + return + + req = json.loads(data.decode()) + code = req.get('code', '') + + if not code: + resp = {'stdout': '', 'stderr': 'No code provided', 'result': None} + else: + resp = self.execute(code) + + conn.sendall(json.dumps(resp).encode()) + + except Exception as e: + error_resp = { + 'stdout': '', + 'stderr': f'Server error: {str(e)}', + 'result': None + } + try: + conn.sendall(json.dumps(error_resp).encode()) + except: + pass + finally: + conn.close() + + def run_server(self): + """Run the kernel server""" + server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + server_socket.bind(('0.0.0.0', 8787)) + server_socket.listen(5) + + print("Kernel server started on port 8787") + + while True: + try: + conn, addr = server_socket.accept() + # Handle each connection in a separate thread + client_thread = threading.Thread( + target=self.handle_client, + args=(conn,) + ) + client_thread.daemon = True + client_thread.start() + + except Exception as e: + print(f"Server error: {e}") + break + + +if __name__ == "__main__": + server = KernelServer() + server.run_server()