From b88c316c0f2c7166496fdfae6e9e29fc7159d8ec Mon Sep 17 00:00:00 2001 From: Vasiliy Radostev Date: Mon, 16 Mar 2026 22:00:45 -0700 Subject: [PATCH 1/8] Add AG2 (formerly AutoGen) plugin package and demo --- README.md | 3 +- .../components/integrations/frameworks.md | 21 +++ .../nat_ag2_demo/configs/config.yml | 12 ++ .../frameworks/nat_ag2_demo/pyproject.toml | 19 +++ .../nat_ag2_demo/src/nat_ag2_demo/__init__.py | 0 .../src/nat_ag2_demo/ag2_research_team.py | 95 ++++++++++++ .../nat_ag2_demo/src/nat_ag2_demo/register.py | 1 + packages/nvidia_nat_ag2/pyproject.toml | 21 +++ .../src/nat/plugins/ag2/__init__.py | 1 + .../src/nat/plugins/ag2/callback_handler.py | 144 ++++++++++++++++++ .../nvidia_nat_ag2/src/nat/plugins/ag2/llm.py | 89 +++++++++++ .../src/nat/plugins/ag2/register.py | 5 + .../src/nat/plugins/ag2/tool_wrapper.py | 51 +++++++ packages/nvidia_nat_ag2/tests/__init__.py | 0 packages/nvidia_nat_ag2/tests/test_import.py | 13 ++ .../src/nat/builder/framework_enum.py | 1 + pyproject.toml | 5 + 17 files changed, 480 insertions(+), 1 deletion(-) create mode 100644 examples/frameworks/nat_ag2_demo/configs/config.yml create mode 100644 examples/frameworks/nat_ag2_demo/pyproject.toml create mode 100644 examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/__init__.py create mode 100644 examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py create mode 100644 examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py create mode 100644 packages/nvidia_nat_ag2/pyproject.toml create mode 100644 packages/nvidia_nat_ag2/src/nat/plugins/ag2/__init__.py create mode 100644 packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py create mode 100644 packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py create mode 100644 packages/nvidia_nat_ag2/src/nat/plugins/ag2/register.py create mode 100644 packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py create mode 100644 packages/nvidia_nat_ag2/tests/__init__.py create mode 100644 packages/nvidia_nat_ag2/tests/test_import.py diff --git a/README.md b/README.md index be66402203..4bf040d5ff 100644 --- a/README.md +++ b/README.md @@ -48,7 +48,7 @@ limitations under the License. ## ✨ Key Features - 🛠️ **Building Agents**: Accelerate your agent development with tools that make it easier to get your agent into production. - - 🧩 [**Framework Agnostic:**](./docs/source/components/integrations/frameworks.md) Work side-by-side with agentic frameworks to add the instrumentation necessary for observing, profiling, and optimizing your agents. Use the toolkit with popular frameworks such as [LangChain](https://www.langchain.com/), [LlamaIndex](https://www.llamaindex.ai/), [CrewAI](https://www.crewai.com/), [Microsoft Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/), and [Google ADK](https://google.github.io/adk-docs/), as well as custom enterprise agentic frameworks and simple Python agents. + - 🧩 [**Framework Agnostic:**](./docs/source/components/integrations/frameworks.md) Work side-by-side with agentic frameworks to add the instrumentation necessary for observing, profiling, and optimizing your agents. Use the toolkit with popular frameworks such as [LangChain](https://www.langchain.com/), [LlamaIndex](https://www.llamaindex.ai/), [CrewAI](https://www.crewai.com/), [AG2](https://docs.ag2.ai), [Microsoft Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/), and [Google ADK](https://google.github.io/adk-docs/), as well as custom enterprise agentic frameworks and simple Python agents. - 🔁 [**Reusability:**](./docs/source/components/sharing-components.md) Build components once and use them multiple times to maximize the value from development effort. - ⚡ [**Customization:**](docs/source/get-started/tutorials/customize-a-workflow.md) Start with a pre-built agent, tool, or workflow, and customize it to your needs. - 💬 [**Built-In User Interface:**](./docs/source/run-workflows/launching-ui.md) Use the NeMo Agent Toolkit UI chat interface to interact with your agents, visualize output, and debug workflows. @@ -189,6 +189,7 @@ In addition, we would like to thank the following open source projects that made - [LangChain](https://github.com/langchain-ai/langchain) - [Llama-Index](https://github.com/run-llama/llama_index) - [Mem0ai](https://github.com/mem0ai/mem0) +- [AG2](https://github.com/ag2ai/ag2) - [Microsoft AutoGen](https://github.com/microsoft/autogen) - [MinIO](https://github.com/minio/minio) - [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol/modelcontextprotocol) diff --git a/docs/source/components/integrations/frameworks.md b/docs/source/components/integrations/frameworks.md index 536da5f03f..a69c194a59 100644 --- a/docs/source/components/integrations/frameworks.md +++ b/docs/source/components/integrations/frameworks.md @@ -24,6 +24,7 @@ NVIDIA NeMo Agent Toolkit provides comprehensive support for multiple agentic fr NeMo Agent Toolkit integrates with the following frameworks: - **ADK**: Google Agent Development Kit for building AI agents +- **AG2**: The community-maintained successor to Microsoft AutoGen with multi-agent orchestration and native MCP integration - **Agno**: A lightweight framework for building AI agents - **AutoGen**: A framework for building AI agents and applications - **CrewAI**: A framework for orchestrating role-playing AI agents @@ -58,6 +59,7 @@ The following table summarizes the current support level for each framework: | Framework | LLM Providers | Embedder Providers | Retriever Providers | Tool Calling | Profiling | |------------------|----------------------|------------------------|--------------------------|-----------------------|-----------------------| | ADK | ✅ Yes | ❌ No | ❌ No | ✅ Yes | ✅ Yes | +| AG2 | ✅ Yes | ❌ No | ❌ No | ✅ Yes | ✅ Yes | | Agno | ⚠️ Limited | ❌ No | ❌ No | ✅ Yes | ✅ Yes | | AutoGen | ✅ Yes | ❌ No | ❌ No | ✅ Yes | ✅ Yes | | CrewAI | ✅ Yes | ❌ No | ❌ No | ✅ Yes | ✅ Yes | @@ -87,6 +89,25 @@ For more information, visit the [ADK website](https://google.github.io/adk-docs/ uv pip install "nvidia-nat[adk]" ``` +### AG2 (formerly AutoGen) + +AG2 is the community-maintained successor to Microsoft AutoGen with support for multi-agent orchestration, intelligent handoffs, and native MCP integration. AG2 provides a modern API for building collaborative agent systems with features like GroupChat patterns, tool integration, and flexible LLM configuration. + +For more information, visit the [AG2 documentation](https://docs.ag2.ai). + +| Capability | Providers / Details | +|-------------------------|-------------------------------------------------------------------------------------| +| **LLM Providers** | NVIDIA NIM, OpenAI, Azure OpenAI | +| **Embedder Providers** | None (use framework-agnostic embedders if needed) | +| **Retriever Providers** | None (use AG2 native tools) | +| **Tool Calling** | Fully supported through AG2's `Tool` interface | +| **Profiling** | Comprehensive profiling support with instrumentation | + +**Installation:** +```bash +uv pip install "nvidia-nat[ag2]" +``` + ### Agno Agno is a lightweight framework for building AI agents. It provides a set of tools for creating agents that can be used to create complex workflows powered by LLMs. Agno focuses on modularity and extensibility, making it suitable for integrating custom data pipelines and enhancing intelligent applications. diff --git a/examples/frameworks/nat_ag2_demo/configs/config.yml b/examples/frameworks/nat_ag2_demo/configs/config.yml new file mode 100644 index 0000000000..76f5bd6f83 --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/configs/config.yml @@ -0,0 +1,12 @@ +functions: + - name: ag2_research + _type: ag2_research_team + task: "Research and summarize the current state of Kubernetes-native AI agent frameworks." + llm_config: default + max_rounds: 10 + +llm: + - name: default + _type: nim + model: meta/llama-3.1-8b-instruct + api_key: ${NVIDIA_API_KEY} diff --git a/examples/frameworks/nat_ag2_demo/pyproject.toml b/examples/frameworks/nat_ag2_demo/pyproject.toml new file mode 100644 index 0000000000..1014c7d5fa --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/pyproject.toml @@ -0,0 +1,19 @@ +[build-system] +requires = ["setuptools>=64", "setuptools_dynamic_dependencies"] +build-backend = "setuptools.build_meta" + +[project] +name = "nat-ag2-demo" +dynamic = ["version", "dependencies"] + +[tool.setuptools.packages.find] +where = ["src"] +include = ["nat_ag2_demo.*"] + +[tool.setuptools_dynamic_dependencies] +dependencies = [ + "nvidia-nat[ag2,eval,test] == {version}", +] + +[project.entry-points.'nat.components'] +nat_ag2_demo = "nat_ag2_demo.register" diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/__init__.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py new file mode 100644 index 0000000000..1f3d125e01 --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py @@ -0,0 +1,95 @@ +"""AG2 (formerly AutoGen) research team demo for NAT. + +Two agents (researcher + writer) collaborate via GroupChat +to produce a research summary with NAT profiling integration. +""" + +from pydantic import BaseModel, Field + +from autogen import ConversableAgent +from autogen.agentchat import initiate_group_chat +from autogen.agentchat.group.patterns import AutoPattern + +from nat.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.cli.register_workflow import register_function +from nat.data_models.function import FunctionBaseConfig + + +class AG2ResearchConfig(FunctionBaseConfig): + """Configuration for the AG2 research team.""" + + task: str = Field( + default="Research and summarize recent advances " + "in AI agent frameworks.", + description="The research topic.", + ) + llm_config: str = Field( + default="default", + description="NAT LLM config name.", + ) + max_rounds: int = Field( + default=10, + description="Max GroupChat rounds.", + ) + + +@register_function( + config_type=AG2ResearchConfig, + framework_wrappers=[LLMFrameworkEnum.AG2], +) +async def ag2_research_team( + config: AG2ResearchConfig, + builder: Builder, +) -> str: + """Run a 2-agent research team with AG2.""" + llm_config = await builder.get_llm( + config.llm_config, + wrapper_type=LLMFrameworkEnum.AG2, + ) + + researcher = ConversableAgent( + name="researcher", + system_message=( + "You are a research specialist. Investigate the " + "topic thoroughly. Present key facts, data, and " + "sources in a structured format." + ), + llm_config=llm_config, + ) + + writer = ConversableAgent( + name="writer", + system_message=( + "You are a technical writer. Synthesize the " + "researcher's findings into a clear, structured " + "summary with: Key Findings, Analysis, and " + "Recommendations. Keep it under 500 words." + ), + llm_config=llm_config, + ) + + user = ConversableAgent( + name="user", human_input_mode="NEVER" + ) + + pattern = AutoPattern( + initial_agent=researcher, + agents=[researcher, writer], + user_agent=user, + group_manager_args={"llm_config": llm_config}, + ) + + result, ctx, last = initiate_group_chat( + pattern=pattern, + messages=config.task, + max_rounds=config.max_rounds, + ) + + # Return last substantive message + for msg in reversed(result.chat_history): + content = msg.get("content", "") + if content and "TERMINATE" not in content: + return content + + return "Research complete." diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py new file mode 100644 index 0000000000..6b731f972b --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py @@ -0,0 +1 @@ +from . import ag2_research_team # noqa: F401 diff --git a/packages/nvidia_nat_ag2/pyproject.toml b/packages/nvidia_nat_ag2/pyproject.toml new file mode 100644 index 0000000000..d0dd4e426f --- /dev/null +++ b/packages/nvidia_nat_ag2/pyproject.toml @@ -0,0 +1,21 @@ +[build-system] +requires = ["setuptools>=64", "setuptools_dynamic_dependencies"] +build-backend = "setuptools.build_meta" + +[project] +name = "nvidia-nat-ag2" +dynamic = ["version", "dependencies"] +requires-python = ">=3.11" + +[tool.setuptools.packages.find] +where = ["src"] +include = ["nat.*"] + +[tool.setuptools_dynamic_dependencies] +dependencies = [ + "nvidia-nat-core == {version}", + "ag2[openai] >= 0.11.0", +] + +[project.entry-points.'nat.components'] +nat_ag2 = "nat.plugins.ag2.register" diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/__init__.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/__init__.py new file mode 100644 index 0000000000..249606d099 --- /dev/null +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/__init__.py @@ -0,0 +1 @@ +"""AG2 (formerly AutoGen) plugin for NeMo-Agent-Toolkit.""" diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py new file mode 100644 index 0000000000..e13e28398a --- /dev/null +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py @@ -0,0 +1,144 @@ +"""Profiler callback handler for AG2. + +Patches AG2's OpenAIWrapper to capture LLM call timings and +token usage for NAT's profiling pipeline. +""" + +import threading +import time +from typing import Any + +from nat.builder.context import Context +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.data_models.intermediate_step import IntermediateStepPayload +from nat.data_models.intermediate_step import IntermediateStepType +from nat.data_models.intermediate_step import StreamEventData +from nat.data_models.intermediate_step import UsageInfo +from nat.data_models.profiler_callback import BaseProfilerCallback +from nat.data_models.token_usage import TokenUsageBaseModel + + +class AG2ProfilerHandler(BaseProfilerCallback): + """Instruments AG2 agents for NAT profiling.""" + + _original_create = None + _patch_lock = threading.Lock() + _patch_count = 0 + + def __init__(self) -> None: + """Initialize the AG2ProfilerHandler.""" + super().__init__() + self._lock = threading.Lock() + self.last_call_ts = time.time() + self.step_manager = Context.get().intermediate_step_manager + + def patch(self) -> None: + """Monkey-patch AG2's LLM calling to emit profiling + events.""" + try: + from autogen.oai.client import OpenAIWrapper + except ImportError: + return + + with AG2ProfilerHandler._patch_lock: + AG2ProfilerHandler._patch_count += 1 + if AG2ProfilerHandler._original_create is not None: + return # Already patched + + AG2ProfilerHandler._original_create = ( + OpenAIWrapper.create + ) + + # Use module-level list so multiple handlers can + # receive events + handler = self + + def patched_create(wrapper_self: Any, *args: Any, **kwargs: Any) -> Any: + now = time.time() + with handler._lock: + seconds_between_calls = int(now - handler.last_call_ts) + + model_name = kwargs.get("model", "") + + start_payload = IntermediateStepPayload( + event_type=IntermediateStepType.LLM_START, + framework=LLMFrameworkEnum.AG2, + name=model_name, + data=StreamEventData(input=str(kwargs)), + usage_info=UsageInfo( + token_usage=TokenUsageBaseModel(), + num_llm_calls=1, + seconds_between_calls=seconds_between_calls, + ), + ) + start_uuid = start_payload.UUID + handler.step_manager.push_intermediate_step(start_payload) + + try: + result = ( + AG2ProfilerHandler._original_create( + wrapper_self, *args, **kwargs + ) + ) + end_time = time.time() + handler.step_manager.push_intermediate_step( + IntermediateStepPayload( + event_type=IntermediateStepType.LLM_END, + span_event_timestamp=end_time, + framework=LLMFrameworkEnum.AG2, + name=model_name, + data=StreamEventData( + input=str(kwargs), + output=str(result), + ), + usage_info=UsageInfo( + token_usage=TokenUsageBaseModel(), + num_llm_calls=1, + seconds_between_calls=seconds_between_calls, + ), + UUID=start_uuid, + ) + ) + with handler._lock: + handler.last_call_ts = end_time + return result + except Exception as e: + handler.step_manager.push_intermediate_step( + IntermediateStepPayload( + event_type=IntermediateStepType.LLM_END, + span_event_timestamp=time.time(), + framework=LLMFrameworkEnum.AG2, + name=model_name, + data=StreamEventData( + input=str(kwargs), + output=str(e), + ), + usage_info=UsageInfo( + token_usage=TokenUsageBaseModel(), + ), + UUID=start_uuid, + ) + ) + with handler._lock: + handler.last_call_ts = time.time() + raise + + OpenAIWrapper.create = patched_create + + def unpatch(self) -> None: + """Restore original AG2 methods.""" + with AG2ProfilerHandler._patch_lock: + AG2ProfilerHandler._patch_count -= 1 + if AG2ProfilerHandler._patch_count > 0: + return # Other handlers still active + if AG2ProfilerHandler._original_create is None: + return + try: + from autogen.oai.client import OpenAIWrapper + + OpenAIWrapper.create = ( + AG2ProfilerHandler._original_create + ) + AG2ProfilerHandler._original_create = None + except ImportError: + pass diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py new file mode 100644 index 0000000000..310cc11aa2 --- /dev/null +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py @@ -0,0 +1,89 @@ +"""LLM client wrappers for AG2. + +AG2 uses LLMConfig (a configuration object) rather than a separate +client class. Each provider wrapper yields an LLMConfig configured +for that provider. +""" + +from collections.abc import AsyncGenerator + +from autogen import LLMConfig + +from nat.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.cli.register_workflow import register_llm_client +from nat.llm.azure_openai_llm import AzureOpenAIModelConfig +from nat.llm.nim_llm import NIMModelConfig +from nat.llm.openai_llm import OpenAIModelConfig + + +@register_llm_client( + config_type=OpenAIModelConfig, + wrapper_type=LLMFrameworkEnum.AG2, +) +async def openai_ag2( + llm_config: OpenAIModelConfig, + _builder: Builder, +) -> AsyncGenerator[LLMConfig, None]: + config_dict = { + "api_type": "openai", + "model": llm_config.model, + "api_key": llm_config.api_key, + } + if llm_config.api_base: + config_dict["base_url"] = llm_config.api_base + + yield LLMConfig( + config_dict, + temperature=llm_config.temperature, + ) + + +@register_llm_client( + config_type=NIMModelConfig, + wrapper_type=LLMFrameworkEnum.AG2, +) +async def nim_ag2( + llm_config: NIMModelConfig, + _builder: Builder, +) -> AsyncGenerator[LLMConfig, None]: + config_dict = { + "api_type": "openai", + "model": llm_config.model, + "api_key": llm_config.api_key, + "base_url": ( + llm_config.api_base + or "https://integrate.api.nvidia.com/v1" + ), + } + + yield LLMConfig( + config_dict, + temperature=llm_config.temperature, + ) + + +@register_llm_client( + config_type=AzureOpenAIModelConfig, + wrapper_type=LLMFrameworkEnum.AG2, +) +async def azure_ag2( + llm_config: AzureOpenAIModelConfig, + _builder: Builder, +) -> AsyncGenerator[LLMConfig, None]: + if not llm_config.api_base: + raise ValueError( + "api_base is required for Azure OpenAI configs" + ) + config_dict = { + "api_type": "azure", + "model": llm_config.model, + "api_key": llm_config.api_key, + "base_url": llm_config.api_base, + "api_version": llm_config.api_version, + } + + yield LLMConfig( + config_dict, + temperature=llm_config.temperature, + ) diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/register.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/register.py new file mode 100644 index 0000000000..6d3ad8bfab --- /dev/null +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/register.py @@ -0,0 +1,5 @@ +"""Entry point — imports modules to trigger registration.""" + +from . import llm # noqa: F401 +from . import tool_wrapper # noqa: F401 +from . import callback_handler # noqa: F401 diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py new file mode 100644 index 0000000000..4c27e05aaa --- /dev/null +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py @@ -0,0 +1,51 @@ +"""Converts NAT Function objects to AG2 Tool objects.""" + +import asyncio +import concurrent.futures +from typing import Any + +from autogen.tools import Tool + +from nat.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.cli.register_workflow import register_tool_wrapper +from nat.builder.function import Function + + +_tool_executor = concurrent.futures.ThreadPoolExecutor( + max_workers=4 +) + + +@register_tool_wrapper(wrapper_type=LLMFrameworkEnum.AG2) +def ag2_tool_wrapper( + name: str, + fn: Function, + _builder: Builder, +) -> Tool: + """Convert a NAT Function to an AG2 Tool.""" + + def call_function(**kwargs: Any) -> Any: + """Execute the NAT function synchronously.""" + try: + asyncio.get_running_loop() + except RuntimeError: + return asyncio.run(fn.acall(**kwargs)) + future = _tool_executor.submit( + asyncio.run, fn.acall(**kwargs) + ) + return future.result() + + call_function.__name__ = name + call_function.__doc__ = fn.description or name + + return Tool( + name=name, + description=fn.description or name, + func_or_tool=call_function, + parameters_json_schema=( + fn.input_schema.model_json_schema() + if fn.input_schema + else None + ), + ) diff --git a/packages/nvidia_nat_ag2/tests/__init__.py b/packages/nvidia_nat_ag2/tests/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/nvidia_nat_ag2/tests/test_import.py b/packages/nvidia_nat_ag2/tests/test_import.py new file mode 100644 index 0000000000..1a38e61dd2 --- /dev/null +++ b/packages/nvidia_nat_ag2/tests/test_import.py @@ -0,0 +1,13 @@ +"""Basic tests for the AG2 plugin package.""" + + +def test_register_module_imports(): + """Verify the entry point module loads without error.""" + from nat.plugins.ag2 import register # noqa: F401 + + +def test_framework_enum_has_ag2(): + """Verify AG2 is registered in the framework enum.""" + from nat.builder.framework_enum import LLMFrameworkEnum + assert hasattr(LLMFrameworkEnum, "AG2") + assert LLMFrameworkEnum.AG2 == "ag2" diff --git a/packages/nvidia_nat_core/src/nat/builder/framework_enum.py b/packages/nvidia_nat_core/src/nat/builder/framework_enum.py index c3ca7c33f0..f5e21a9712 100644 --- a/packages/nvidia_nat_core/src/nat/builder/framework_enum.py +++ b/packages/nvidia_nat_core/src/nat/builder/framework_enum.py @@ -25,3 +25,4 @@ class LLMFrameworkEnum(StrEnum): ADK = "adk" STRANDS = "strands" AUTOGEN = "autogen" + AG2 = "ag2" # AG2 (formerly AutoGen) — separate from Microsoft AutoGen diff --git a/pyproject.toml b/pyproject.toml index 295ce4df40..e0981a384d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,6 +50,7 @@ dependencies = ["nvidia-nat-core == {version}"] # Keep sorted!!! a2a = ["nvidia-nat-a2a == {version}"] adk = ["nvidia-nat-adk == {version}"] +ag2 = ["nvidia-nat-ag2 == {version}"] agno = ["nvidia-nat-agno == {version}"] app = ["nvidia-nat-app == {version}"] autogen = ["nvidia-nat-autogen == {version}"] @@ -89,6 +90,7 @@ pii-defense = [ "nvidia-nat-core[pii-defense] == {version}" ] most = [ "nvidia-nat-a2a == {version}", "nvidia-nat-adk == {version}", + "nvidia-nat-ag2 == {version}", "nvidia-nat-agno == {version}", "nvidia-nat-app == {version}", "nvidia-nat-autogen == {version}", @@ -123,6 +125,7 @@ examples = [ "nat_agno_personal_finance", "nat_agents_examples", "nat_alert_triage_agent", + "nat_ag2_demo", "nat_autogen_demo", "nat_automated_description_generation", "nat_currency_agent_a2a", @@ -224,6 +227,7 @@ managed = true # Packages nvidia-nat-a2a = { path = "packages/nvidia_nat_a2a", editable = true } nvidia-nat-adk = { path = "packages/nvidia_nat_adk", editable = true } +nvidia-nat-ag2 = { path = "packages/nvidia_nat_ag2", editable = true } nvidia-nat-agno = { path = "packages/nvidia_nat_agno", editable = true } nvidia-nat-app = { path = "packages/nvidia_nat_app", editable = true } nvidia-nat-autogen = { path = "packages/nvidia_nat_autogen", editable = true } @@ -260,6 +264,7 @@ nat_adk_demo = { path = "examples/frameworks/adk_demo", editable = true } nat_agno_personal_finance = { path = "examples/frameworks/agno_personal_finance", editable = true } nat_agents_examples = { path = "examples/agents", editable = true } nat_alert_triage_agent = { path = "examples/advanced_agents/alert_triage_agent", editable = true } +nat_ag2_demo = { path = "examples/frameworks/nat_ag2_demo", editable = true } nat_autogen_demo = { path = "examples/frameworks/nat_autogen_demo", editable = true } nat_automated_description_generation = { path = "examples/custom_functions/automated_description_generation", editable = true } nat_currency_agent_a2a = { path = "examples/A2A/currency_agent_a2a", editable = true } From f3d4241d65c445083767a1bdbeb449e1635f0420 Mon Sep 17 00:00:00 2001 From: Vasiliy Radostev Date: Tue, 17 Mar 2026 07:44:05 -0700 Subject: [PATCH 2/8] Add SPDX license headers and remove unused import --- .../frameworks/nat_ag2_demo/configs/config.yml | 15 +++++++++++++++ examples/frameworks/nat_ag2_demo/pyproject.toml | 15 +++++++++++++++ .../nat_ag2_demo/src/nat_ag2_demo/__init__.py | 14 ++++++++++++++ .../src/nat_ag2_demo/ag2_research_team.py | 17 ++++++++++++++++- .../nat_ag2_demo/src/nat_ag2_demo/register.py | 15 +++++++++++++++ packages/nvidia_nat_ag2/pyproject.toml | 15 +++++++++++++++ .../src/nat/plugins/ag2/__init__.py | 15 +++++++++++++++ .../src/nat/plugins/ag2/callback_handler.py | 15 +++++++++++++++ .../nvidia_nat_ag2/src/nat/plugins/ag2/llm.py | 15 +++++++++++++++ .../src/nat/plugins/ag2/register.py | 15 +++++++++++++++ .../src/nat/plugins/ag2/tool_wrapper.py | 15 +++++++++++++++ packages/nvidia_nat_ag2/tests/__init__.py | 14 ++++++++++++++ packages/nvidia_nat_ag2/tests/test_import.py | 15 +++++++++++++++ 13 files changed, 194 insertions(+), 1 deletion(-) diff --git a/examples/frameworks/nat_ag2_demo/configs/config.yml b/examples/frameworks/nat_ag2_demo/configs/config.yml index 76f5bd6f83..b80637e30a 100644 --- a/examples/frameworks/nat_ag2_demo/configs/config.yml +++ b/examples/frameworks/nat_ag2_demo/configs/config.yml @@ -1,3 +1,18 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + functions: - name: ag2_research _type: ag2_research_team diff --git a/examples/frameworks/nat_ag2_demo/pyproject.toml b/examples/frameworks/nat_ag2_demo/pyproject.toml index 1014c7d5fa..a884ef95d4 100644 --- a/examples/frameworks/nat_ag2_demo/pyproject.toml +++ b/examples/frameworks/nat_ag2_demo/pyproject.toml @@ -1,3 +1,18 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + [build-system] requires = ["setuptools>=64", "setuptools_dynamic_dependencies"] build-backend = "setuptools.build_meta" diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/__init__.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/__init__.py index e69de29bb2..3bcc1c39bb 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/__init__.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/__init__.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py index 1f3d125e01..028be5ca78 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py @@ -1,10 +1,25 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + """AG2 (formerly AutoGen) research team demo for NAT. Two agents (researcher + writer) collaborate via GroupChat to produce a research summary with NAT profiling integration. """ -from pydantic import BaseModel, Field +from pydantic import Field from autogen import ConversableAgent from autogen.agentchat import initiate_group_chat diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py index 6b731f972b..d6d07d86e8 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py @@ -1 +1,16 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from . import ag2_research_team # noqa: F401 diff --git a/packages/nvidia_nat_ag2/pyproject.toml b/packages/nvidia_nat_ag2/pyproject.toml index d0dd4e426f..591707ed48 100644 --- a/packages/nvidia_nat_ag2/pyproject.toml +++ b/packages/nvidia_nat_ag2/pyproject.toml @@ -1,3 +1,18 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + [build-system] requires = ["setuptools>=64", "setuptools_dynamic_dependencies"] build-backend = "setuptools.build_meta" diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/__init__.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/__init__.py index 249606d099..e0be2a315d 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/__init__.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/__init__.py @@ -1 +1,16 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + """AG2 (formerly AutoGen) plugin for NeMo-Agent-Toolkit.""" diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py index e13e28398a..84e443c9b3 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py @@ -1,3 +1,18 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + """Profiler callback handler for AG2. Patches AG2's OpenAIWrapper to capture LLM call timings and diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py index 310cc11aa2..8e2a6bc366 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py @@ -1,3 +1,18 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + """LLM client wrappers for AG2. AG2 uses LLMConfig (a configuration object) rather than a separate diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/register.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/register.py index 6d3ad8bfab..6514c83412 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/register.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/register.py @@ -1,3 +1,18 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + """Entry point — imports modules to trigger registration.""" from . import llm # noqa: F401 diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py index 4c27e05aaa..a79e0fab43 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py @@ -1,3 +1,18 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + """Converts NAT Function objects to AG2 Tool objects.""" import asyncio diff --git a/packages/nvidia_nat_ag2/tests/__init__.py b/packages/nvidia_nat_ag2/tests/__init__.py index e69de29bb2..3bcc1c39bb 100644 --- a/packages/nvidia_nat_ag2/tests/__init__.py +++ b/packages/nvidia_nat_ag2/tests/__init__.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/packages/nvidia_nat_ag2/tests/test_import.py b/packages/nvidia_nat_ag2/tests/test_import.py index 1a38e61dd2..c007b77fe0 100644 --- a/packages/nvidia_nat_ag2/tests/test_import.py +++ b/packages/nvidia_nat_ag2/tests/test_import.py @@ -1,3 +1,18 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + """Basic tests for the AG2 plugin package.""" From 82fd0e7c6b5fc51b51cec6a2e972441edc2b37f5 Mon Sep 17 00:00:00 2001 From: Vasiliy Radostev Date: Tue, 17 Mar 2026 08:02:15 -0700 Subject: [PATCH 3/8] Addressed feedback --- .../nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py | 2 ++ packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py | 7 ++++--- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py index 84e443c9b3..c22b7d5a72 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py @@ -143,6 +143,8 @@ def patched_create(wrapper_self: Any, *args: Any, **kwargs: Any) -> Any: def unpatch(self) -> None: """Restore original AG2 methods.""" with AG2ProfilerHandler._patch_lock: + if AG2ProfilerHandler._patch_count <= 0: + return AG2ProfilerHandler._patch_count -= 1 if AG2ProfilerHandler._patch_count > 0: return # Other handlers still active diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py index 8e2a6bc366..2f216ece83 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py @@ -27,6 +27,7 @@ from nat.builder import Builder from nat.builder.framework_enum import LLMFrameworkEnum from nat.cli.register_workflow import register_llm_client +from nat.data_models.common import get_secret_value from nat.llm.azure_openai_llm import AzureOpenAIModelConfig from nat.llm.nim_llm import NIMModelConfig from nat.llm.openai_llm import OpenAIModelConfig @@ -43,7 +44,7 @@ async def openai_ag2( config_dict = { "api_type": "openai", "model": llm_config.model, - "api_key": llm_config.api_key, + "api_key": get_secret_value(llm_config.api_key), } if llm_config.api_base: config_dict["base_url"] = llm_config.api_base @@ -65,7 +66,7 @@ async def nim_ag2( config_dict = { "api_type": "openai", "model": llm_config.model, - "api_key": llm_config.api_key, + "api_key": get_secret_value(llm_config.api_key), "base_url": ( llm_config.api_base or "https://integrate.api.nvidia.com/v1" @@ -93,7 +94,7 @@ async def azure_ag2( config_dict = { "api_type": "azure", "model": llm_config.model, - "api_key": llm_config.api_key, + "api_key": get_secret_value(llm_config.api_key), "base_url": llm_config.api_base, "api_version": llm_config.api_version, } From 75d6c7fe4bbb0552fa50c57ff08cc0b4dcfd14fe Mon Sep 17 00:00:00 2001 From: Vasiliy Radostev Date: Tue, 17 Mar 2026 08:18:27 -0700 Subject: [PATCH 4/8] Addressed feedback --- .../src/nat_ag2_demo/ag2_research_team.py | 2 +- .../src/nat/plugins/ag2/callback_handler.py | 150 +++++++++--------- .../nvidia_nat_ag2/src/nat/plugins/ag2/llm.py | 3 + 3 files changed, 83 insertions(+), 72 deletions(-) diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py index 028be5ca78..4138a372c8 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py @@ -95,7 +95,7 @@ async def ag2_research_team( group_manager_args={"llm_config": llm_config}, ) - result, ctx, last = initiate_group_chat( + result, _ctx, _last = initiate_group_chat( pattern=pattern, messages=config.task, max_rounds=config.max_rounds, diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py index c22b7d5a72..d4038facf6 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py @@ -16,7 +16,7 @@ """Profiler callback handler for AG2. Patches AG2's OpenAIWrapper to capture LLM call timings and -token usage for NAT's profiling pipeline. +token usage for the profiling pipeline. """ import threading @@ -34,11 +34,11 @@ class AG2ProfilerHandler(BaseProfilerCallback): - """Instruments AG2 agents for NAT profiling.""" + """Instruments AG2 agents for profiling.""" _original_create = None _patch_lock = threading.Lock() - _patch_count = 0 + _handlers: list["AG2ProfilerHandler"] = [] def __init__(self) -> None: """Initialize the AG2ProfilerHandler.""" @@ -56,86 +56,95 @@ def patch(self) -> None: return with AG2ProfilerHandler._patch_lock: - AG2ProfilerHandler._patch_count += 1 + AG2ProfilerHandler._handlers.append(self) if AG2ProfilerHandler._original_create is not None: - return # Already patched + return # Already patched, just registered AG2ProfilerHandler._original_create = ( OpenAIWrapper.create ) - # Use module-level list so multiple handlers can - # receive events - handler = self - def patched_create(wrapper_self: Any, *args: Any, **kwargs: Any) -> Any: - now = time.time() - with handler._lock: - seconds_between_calls = int(now - handler.last_call_ts) + # Capture locally to avoid race with unpatch() + original = AG2ProfilerHandler._original_create + if original is None: + return wrapper_self.create(*args, **kwargs) - model_name = kwargs.get("model", "") + # Snapshot handlers to iterate + with AG2ProfilerHandler._patch_lock: + handlers = list(AG2ProfilerHandler._handlers) - start_payload = IntermediateStepPayload( - event_type=IntermediateStepType.LLM_START, - framework=LLMFrameworkEnum.AG2, - name=model_name, - data=StreamEventData(input=str(kwargs)), - usage_info=UsageInfo( - token_usage=TokenUsageBaseModel(), - num_llm_calls=1, - seconds_between_calls=seconds_between_calls, - ), - ) - start_uuid = start_payload.UUID - handler.step_manager.push_intermediate_step(start_payload) + model_name = kwargs.get("model", "") + sanitized_input = { + "model": model_name, + "message_count": len(kwargs.get("messages", [])), + } + + # Emit LLM_START to all handlers + start_uuids = {} + for h in handlers: + now = time.time() + with h._lock: + seconds_between_calls = int(now - h.last_call_ts) + payload = IntermediateStepPayload( + event_type=IntermediateStepType.LLM_START, + framework=LLMFrameworkEnum.AG2, + name=model_name, + data=StreamEventData(input=str(sanitized_input)), + usage_info=UsageInfo( + token_usage=TokenUsageBaseModel(), + num_llm_calls=1, + seconds_between_calls=seconds_between_calls, + ), + ) + start_uuids[id(h)] = payload.UUID + h.step_manager.push_intermediate_step(payload) try: - result = ( - AG2ProfilerHandler._original_create( - wrapper_self, *args, **kwargs - ) - ) + result = original(wrapper_self, *args, **kwargs) end_time = time.time() - handler.step_manager.push_intermediate_step( - IntermediateStepPayload( - event_type=IntermediateStepType.LLM_END, - span_event_timestamp=end_time, - framework=LLMFrameworkEnum.AG2, - name=model_name, - data=StreamEventData( - input=str(kwargs), - output=str(result), - ), - usage_info=UsageInfo( - token_usage=TokenUsageBaseModel(), - num_llm_calls=1, - seconds_between_calls=seconds_between_calls, - ), - UUID=start_uuid, + for h in handlers: + h.step_manager.push_intermediate_step( + IntermediateStepPayload( + event_type=IntermediateStepType.LLM_END, + span_event_timestamp=end_time, + framework=LLMFrameworkEnum.AG2, + name=model_name, + data=StreamEventData( + input=str(sanitized_input), + output="completed", + ), + usage_info=UsageInfo( + token_usage=TokenUsageBaseModel(), + num_llm_calls=1, + ), + UUID=start_uuids.get(id(h)), + ) ) - ) - with handler._lock: - handler.last_call_ts = end_time + with h._lock: + h.last_call_ts = end_time return result except Exception as e: - handler.step_manager.push_intermediate_step( - IntermediateStepPayload( - event_type=IntermediateStepType.LLM_END, - span_event_timestamp=time.time(), - framework=LLMFrameworkEnum.AG2, - name=model_name, - data=StreamEventData( - input=str(kwargs), - output=str(e), - ), - usage_info=UsageInfo( - token_usage=TokenUsageBaseModel(), - ), - UUID=start_uuid, + err_time = time.time() + for h in handlers: + h.step_manager.push_intermediate_step( + IntermediateStepPayload( + event_type=IntermediateStepType.LLM_END, + span_event_timestamp=err_time, + framework=LLMFrameworkEnum.AG2, + name=model_name, + data=StreamEventData( + input=str(sanitized_input), + output=f"error: {type(e).__name__}", + ), + usage_info=UsageInfo( + token_usage=TokenUsageBaseModel(), + ), + UUID=start_uuids.get(id(h)), + ) ) - ) - with handler._lock: - handler.last_call_ts = time.time() + with h._lock: + h.last_call_ts = err_time raise OpenAIWrapper.create = patched_create @@ -143,10 +152,9 @@ def patched_create(wrapper_self: Any, *args: Any, **kwargs: Any) -> Any: def unpatch(self) -> None: """Restore original AG2 methods.""" with AG2ProfilerHandler._patch_lock: - if AG2ProfilerHandler._patch_count <= 0: - return - AG2ProfilerHandler._patch_count -= 1 - if AG2ProfilerHandler._patch_count > 0: + if self in AG2ProfilerHandler._handlers: + AG2ProfilerHandler._handlers.remove(self) + if AG2ProfilerHandler._handlers: return # Other handlers still active if AG2ProfilerHandler._original_create is None: return diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py index 2f216ece83..f8f964afe2 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py @@ -41,6 +41,7 @@ async def openai_ag2( llm_config: OpenAIModelConfig, _builder: Builder, ) -> AsyncGenerator[LLMConfig, None]: + """Yield an AG2 LLMConfig for OpenAI.""" config_dict = { "api_type": "openai", "model": llm_config.model, @@ -63,6 +64,7 @@ async def nim_ag2( llm_config: NIMModelConfig, _builder: Builder, ) -> AsyncGenerator[LLMConfig, None]: + """Yield an AG2 LLMConfig for NVIDIA NIM.""" config_dict = { "api_type": "openai", "model": llm_config.model, @@ -87,6 +89,7 @@ async def azure_ag2( llm_config: AzureOpenAIModelConfig, _builder: Builder, ) -> AsyncGenerator[LLMConfig, None]: + """Yield an AG2 LLMConfig for Azure OpenAI.""" if not llm_config.api_base: raise ValueError( "api_base is required for Azure OpenAI configs" From 8db5e8119d1ce13e679be01ff71346ea5e8f7cf8 Mon Sep 17 00:00:00 2001 From: jsun-m Date: Thu, 19 Mar 2026 18:16:57 -0700 Subject: [PATCH 5/8] update NAT-AG2 to address PR comments --- examples/frameworks/nat_ag2_demo/README.md | 234 ++++++++++++++++++ .../nat_ag2_demo/configs/config-eval.yml | 131 ++++++++++ .../nat_ag2_demo/configs/config-research.yml | 44 ++++ .../nat_ag2_demo/configs/config.yml | 72 +++++- .../nat_ag2_demo/data/toy_data.json | 3 + .../frameworks/nat_ag2_demo/pyproject.toml | 21 +- .../src/nat_ag2_demo/ag2_research_team.py | 148 +++++------ .../nat_ag2_demo/src/nat_ag2_demo/ag2_team.py | 138 +++++++++++ .../nat_ag2_demo/src/nat_ag2_demo/register.py | 4 +- .../src/nat_ag2_demo/traffic_status_tool.py | 134 ++++++++++ packages/nvidia_nat_ag2/pyproject.toml | 6 +- .../nvidia_nat_ag2/src/nat/plugins/ag2/llm.py | 20 +- .../src/nat/plugins/ag2/tool_wrapper.py | 2 +- 13 files changed, 859 insertions(+), 98 deletions(-) create mode 100644 examples/frameworks/nat_ag2_demo/README.md create mode 100644 examples/frameworks/nat_ag2_demo/configs/config-eval.yml create mode 100644 examples/frameworks/nat_ag2_demo/configs/config-research.yml create mode 100644 examples/frameworks/nat_ag2_demo/data/toy_data.json create mode 100644 examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_team.py create mode 100644 examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/traffic_status_tool.py diff --git a/examples/frameworks/nat_ag2_demo/README.md b/examples/frameworks/nat_ag2_demo/README.md new file mode 100644 index 0000000000..f2a2a6ddb0 --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/README.md @@ -0,0 +1,234 @@ + + + +# AG2 Framework Example + +**Complexity:** 🟨 Intermediate + +A quick example using the AG2 framework (formerly AutoGen), showcasing a multi-agent Los Angeles traffic information system where agents collaborate through AG2's `ConversableAgent` and `AutoPattern` to provide real-time traffic status for highways based on the current time of day. + +## Table of Contents + +- [AG2 Framework Example](#ag2-framework-example) + - [Table of Contents](#table-of-contents) + - [Key Features](#key-features) + - [Prerequisites](#prerequisites) + - [Installation and Setup](#installation-and-setup) + - [Install this Workflow](#install-this-workflow) + - [Export Required Environment Variables](#export-required-environment-variables) + - [Run the Workflow](#run-the-workflow) + - [Set up the MCP Server](#set-up-the-mcp-server) + - [Expected Output](#expected-output) + - [Observability with Phoenix](#observability-with-phoenix) + - [Start Phoenix Server](#start-phoenix-server) + - [Run with Tracing Enabled](#run-with-tracing-enabled) + - [View Traces in Phoenix](#view-traces-in-phoenix) + - [Evaluate the Workflow](#evaluate-the-workflow) + - [Evaluation Dataset](#evaluation-dataset) + - [Run the Evaluation](#run-the-evaluation) + - [Understanding Evaluation Results](#understanding-evaluation-results) + - [Architecture](#architecture) + - [Tool Integration](#tool-integration) + +## Key Features + +- **AG2 Framework Integration:** Demonstrates NVIDIA NeMo Agent Toolkit support for AG2 (formerly AutoGen) alongside other frameworks like LangChain/LangGraph and Semantic Kernel. +- **Multi-Agent Collaboration:** Shows two specialized agents working together — a TrafficAgent for data retrieval and a FinalResponseAgent for response formatting. +- **Time-Aware Traffic Status:** Provides realistic traffic information that varies based on time of day (morning rush, evening rush, off-peak hours). +- **Unified Tool Integration:** Uses the unified abstraction provided by the toolkit to integrate both local tools (traffic status) and MCP tools (time service) without framework-specific code. +- **AutoPattern Group Chat:** Uses AG2's `ConversableAgent` with `AutoPattern` and `initiate_group_chat` for structured agent communication. + +## Prerequisites + +Before running this example, ensure you have: + +- Python 3.11 or higher +- NeMo Agent Toolkit installed (see [Install Guide](../../../docs/source/get-started/installation.md)) +- NVIDIA API key for NIM access + +## Installation and Setup + +If you have not already done so, follow the instructions in the [Install Guide](../../../docs/source/get-started/installation.md) to create the development environment and install NeMo Agent Toolkit. + +### Install this Workflow + +From the root directory of the NeMo Agent Toolkit repository, run the following commands: + +```bash +# Install the demo workflow and its dependencies (this also installs the core toolkit and required plugins) +uv pip install -e examples/frameworks/nat_ag2_demo + +# Required to run the current_datetime MCP tool used in the example workflow +uv pip install -e examples/getting_started/simple_calculator + +# Optional: Install Phoenix for observability and tracing +uv pip install -e '.[phoenix]' +uv pip install arize-phoenix + +uv pip install matplotlib +``` + +### Export Required Environment Variables + +If you have not already done so, follow the [Obtaining API Keys](../../../docs/source/get-started/installation.md#obtain-api-keys) instructions to obtain API keys. + +For NVIDIA NIM, set the following environment variable: + +```bash +export NVIDIA_API_KEY="YOUR-NVIDIA-API-KEY-HERE" +``` + +## Run the Workflow + +### Set up the MCP Server + +This example uses the MCP client abstraction provided by NeMo Agent Toolkit to connect to an MCP server. The MCP connection is configured in the workflow YAML file, and the toolkit automatically wraps the MCP tools for use with AG2 agents. + +In a separate terminal, or in the background, run the MCP server with this command: + +```bash +nat mcp serve --config_file examples/getting_started/simple_calculator/configs/config.yml --tool_names current_datetime +``` + +> [!NOTE] +> If the MCP server is not started as a background task (using the `&` operator), you will need to open a new terminal session, activate the uv environment, and export NVIDIA_API_KEY again. + +Then, run the workflow with the CLI provided by the toolkit: + +```bash +nat run --config_file examples/frameworks/nat_ag2_demo/configs/config.yml --input "What is the current traffic on the 405 South?" +``` + +### Expected Output + +```console +% nat run --config_file examples/frameworks/nat_ag2_demo/configs/config.yml --input "What is the current traffic on the 405 South?" +2026-01-16 11:30:54 - INFO - nat.cli.commands.start:192 - Starting NAT from config file: 'examples/frameworks/nat_ag2_demo/configs/config.yml' +... + +-------------------------------------------------- +Workflow Result: +["The current traffic conditions on the 405 South are as follows:\n\n* Segment: Mulholland Drive to LAX\n* Traffic Conditions: Light\n\nIt appears that traffic is relatively clear on the 405 South.\n\nAPPROVE"] +``` + +## Observability with Phoenix + +This section demonstrates how to enable distributed tracing using Phoenix to monitor and analyze the AG2 workflow execution. + +### Start Phoenix Server + +In a separate terminal, start Phoenix: + +```bash +phoenix serve +``` + +Phoenix runs on `http://localhost:6006` with the tracing endpoint at `http://localhost:6006/v1/traces`. + +### Run with Tracing Enabled + +With Phoenix running, execute the workflow using the evaluation config which has tracing enabled: + +```bash +nat run --config_file examples/frameworks/nat_ag2_demo/configs/config-eval.yml \ + --input "What is the current traffic on the 10 West?" +``` + +### View Traces in Phoenix + +Open your browser to `http://localhost:6006` to explore traces in the Phoenix UI. You can see: + +- **Agent execution flow**: Track the conversation between TrafficAgent and FinalResponseAgent +- **Tool invocations**: Monitor calls to `traffic_status_tool` and `current_datetime` +- **LLM interactions**: View prompts, completions, and token usage +- **Timing metrics**: Analyze latency across different workflow components + +## Evaluate the Workflow + +NeMo Agent Toolkit provides a comprehensive evaluation framework to assess your workflow's performance against a test dataset. + +### Evaluation Dataset + +The evaluation dataset contains three test cases with different Los Angeles highways: + +| ID | Highway | Direction | Description | +|----|---------|-----------|-------------| +| 1 | 405 | South | Major freeway connecting San Fernando Valley to LAX | +| 2 | 10 | West | Santa Monica Freeway from Downtown LA to Santa Monica | +| 3 | 110 | North | Harbor Freeway from Long Beach to Pasadena | + +The dataset is located at `examples/frameworks/nat_ag2_demo/data/toy_data.json`. + +Traffic status varies by time period: + +- **Morning Rush (7-9 AM):** Inbound routes (405-South, 110-South, 10-East, 210-East) are heavy +- **Evening Rush (4-7 PM):** Outbound routes (405-North, 110-North, 10-West, 210-West) are heavy +- **Off-Peak:** All routes are light + +### Run the Evaluation + +Ensure both the MCP server and Phoenix are running, then execute the evaluation: + +```bash +# Terminal 1: Start MCP server (if not already running) +# nat mcp serve --config_file examples/getting_started/simple_calculator/configs/config.yml --tool_names current_datetime + +# Terminal 2: Start Phoenix server (if not already running) +# phoenix serve + +# Terminal 3: Run evaluation +nat eval --config_file examples/frameworks/nat_ag2_demo/configs/config-eval.yml +``` + +The evaluation runs the workflow against all three test cases and evaluates results using: + +- **Answer `Accuracy`**: Measures how accurately the agent answers the questions +- **Response `Groundedness`**: Evaluates whether responses are grounded in the tool outputs +- **Trajectory `Accuracy`**: Assesses the agent's decision-making path and tool usage + +### Understanding Evaluation Results + +The `nat eval` command produces several output files in `.tmp/nat/examples/frameworks/nat_ag2_demo/traffic_eval/`: + +- **`workflow_output.json`**: Raw outputs from the workflow for each input +- **Evaluator-specific files**: Each configured evaluator generates its own output file with scores and reasoning + +## Architecture + +The AG2 workflow consists of two main agents: + +1. **TrafficAgent**: Retrieves traffic information using tools + - Uses the `current_datetime` MCP tool to get the current time + - Uses the `traffic_status_tool` to get traffic conditions for LA highways based on the hour + - Responds with "DONE" when the task is completed + +2. **FinalResponseAgent**: Formats and presents the final response + - Consolidates information from the TrafficAgent + - Provides clear, concise answers to user queries + - Terminates the conversation with "APPROVE" + +The agents communicate through AG2's `AutoPattern` with `initiate_group_chat`. A `ConversableAgent` with `human_input_mode="NEVER"` serves as both the user initiator and tool executor — tool calls from TrafficAgent are routed to it for execution, keeping the group chat flow self-contained. + +### Tool Integration + +This example demonstrates the unified approach to tool integration provided by NeMo Agent Toolkit: + +- **Local tools** (like `traffic_status_tool`) are defined as NAT functions and provide time-aware traffic data for Los Angeles highways +- **MCP tools** (like `current_datetime`) are configured in YAML using the `mcp_client` function group provided by the toolkit + +Both types of tools are passed to AG2 agents through the `builder.get_tools()` method, which automatically wraps them for the AG2 framework. This eliminates the need for framework-specific MCP integration code and provides a consistent interface across all supported frameworks (AG2, AutoGen, LangChain, Semantic Kernel, and others). diff --git a/examples/frameworks/nat_ag2_demo/configs/config-eval.yml b/examples/frameworks/nat_ag2_demo/configs/config-eval.yml new file mode 100644 index 0000000000..4a4f1b6462 --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/configs/config-eval.yml @@ -0,0 +1,131 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# path-check-skip-file + +# This config demonstrates an AG2 multi-agent workflow that retrieves +# Los Angeles traffic information based on the current time of day. + +general: + telemetry: + logging: + console: + _type: console + level: info + # Phoenix tracing requires: uv pip install "nvidia-nat[phoenix]" arize-phoenix + tracing: + phoenix: + _type: phoenix + endpoint: http://localhost:6006/v1/traces + project: nat_ag2_demo + +llms: + nim_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + api_key: ${NVIDIA_API_KEY} + base_url: https://integrate.api.nvidia.com/v1 + temperature: 0.0 + max_tokens: 1024 + + # Evaluator LLM (used for evaluation metrics) + evaluator_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + api_key: ${NVIDIA_API_KEY} + base_url: https://integrate.api.nvidia.com/v1 + temperature: 0.0 + max_tokens: 2048 + +function_groups: + mcp_functions: + _type: mcp_client + server: + transport: streamable-http + url: "http://localhost:9901/mcp" + include: + - current_datetime + +functions: + traffic_status_tool: + _type: nat_ag2_demo/traffic_status_ag2 + description: "Get the traffic status for a Los Angeles highway given the current hour" + +workflow: + _type: ag2_team + llm_name: nim_llm + description: "To get the current traffic status for Los Angeles highways" + tool_names: [mcp_functions__current_datetime, traffic_status_tool] + query_processing_agent_name: TrafficAgent + query_processing_agent_instructions: | + You are an agent that provides current traffic information for Los Angeles highways. + You MUST use your available tools to get accurate information - do NOT make up or guess any data. + + WORKFLOW: + 1. First, call mcp_functions__current_datetime with any string (e.g., "now") to get the current time + 2. Extract the HOUR (0-23) from the datetime result + 3. Extract the highway name and direction from the user's question (e.g., "405 South", "10 West") + 4. Call traffic_status_tool with the highway name AND the hour (as an integer) + 5. After getting the result, clearly report the traffic status + + CRITICAL: You MUST call BOTH tools: + - First: mcp_functions__current_datetime to get current time + - Second: traffic_status_tool with the highway and hour extracted from the datetime + + After getting results, summarize the data clearly like this: + "RESULTS: Current time is [time]. Traffic on [highway] is [status details]. DONE" + + If asked about anything other than LA traffic, respond with 'I can only provide Los Angeles traffic information.' + final_response_agent_name: FinalResponseAgent + final_response_agent_instructions: | + You are the final response agent. + The TrafficAgent has already collected the traffic data using tools - DO NOT call any tools yourself. + Your role is to provide a polished, user-friendly response based on the information already gathered. + Format the traffic information nicely for the user, then say 'APPROVE'. + +eval: + general: + output: + dir: ./.tmp/nat/examples/frameworks/nat_ag2_demo/traffic_eval/ + cleanup: true + dataset: + _type: json + file_path: examples/frameworks/nat_ag2_demo/data/toy_data.json + profiler: + token_uniqueness_forecast: true + workflow_runtime_forecast: true + compute_llm_metrics: true + csv_exclude_io_text: true + prompt_caching_prefixes: + enable: true + min_frequency: 0.1 + bottleneck_analysis: + enable_nested_stack: true + concurrency_spike_analysis: + enable: true + spike_threshold: 5 + + evaluators: + accuracy: + _type: ragas + metric: AnswerAccuracy + llm_name: evaluator_llm + groundedness: + _type: ragas + metric: ResponseGroundedness + llm_name: evaluator_llm + trajectory_accuracy: + _type: trajectory + llm_name: evaluator_llm diff --git a/examples/frameworks/nat_ag2_demo/configs/config-research.yml b/examples/frameworks/nat_ag2_demo/configs/config-research.yml new file mode 100644 index 0000000000..1b92257a1e --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/configs/config-research.yml @@ -0,0 +1,44 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Demonstrates the AG2 research team: a researcher and writer agent collaborate +# via AutoPattern GroupChat to produce a structured research summary. + +llms: + nim_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + api_key: ${NVIDIA_API_KEY} + base_url: https://integrate.api.nvidia.com/v1 + temperature: 0.0 + max_tokens: 2048 + +functions: + ag2_research: + _type: nat_ag2_demo/ag2_research_team + llm_name: nim_llm + max_rounds: 6 + researcher_instructions: | + You are a research specialist. Investigate the topic thoroughly. + Present key facts, data, and sources in a structured format. + writer_instructions: | + You are a technical writer. Synthesize the researcher's findings into a + clear, structured summary with: Key Findings, Analysis, and + Recommendations. Keep it under 500 words. + +workflow: + _type: react_agent + llm_name: nim_llm + tool_names: [ag2_research] diff --git a/examples/frameworks/nat_ag2_demo/configs/config.yml b/examples/frameworks/nat_ag2_demo/configs/config.yml index b80637e30a..b3b5ff103d 100644 --- a/examples/frameworks/nat_ag2_demo/configs/config.yml +++ b/examples/frameworks/nat_ag2_demo/configs/config.yml @@ -13,15 +13,67 @@ # See the License for the specific language governing permissions and # limitations under the License. -functions: - - name: ag2_research - _type: ag2_research_team - task: "Research and summarize the current state of Kubernetes-native AI agent frameworks." - llm_config: default - max_rounds: 10 - -llm: - - name: default +# This config demonstrates an AG2 multi-agent workflow that retrieves +# Los Angeles traffic information based on the current time of day. + +general: + telemetry: + logging: + console: + _type: console + level: debug + +llms: + nim_llm: _type: nim - model: meta/llama-3.1-8b-instruct + model_name: meta/llama-3.3-70b-instruct api_key: ${NVIDIA_API_KEY} + base_url: https://integrate.api.nvidia.com/v1 + temperature: 0.0 + max_tokens: 1024 + +function_groups: + mcp_functions: + _type: mcp_client + server: + transport: streamable-http + url: "http://localhost:9901/mcp" + include: + - current_datetime + +functions: + traffic_status_tool: + _type: nat_ag2_demo/traffic_status_ag2 + description: "Get the traffic status for a Los Angeles highway given the current hour" + +workflow: + _type: ag2_team + llm_name: nim_llm + description: "To get the current traffic status for Los Angeles highways" + tool_names: [mcp_functions__current_datetime, traffic_status_tool] + query_processing_agent_name: TrafficAgent + query_processing_agent_instructions: | + You are an agent that provides current traffic information for Los Angeles highways. + You MUST use your available tools to get accurate information - do NOT make up or guess any data. + + WORKFLOW: + 1. First, call mcp_functions__current_datetime with any string (e.g., "now") to get the current time + 2. Extract the HOUR (0-23) from the datetime result + 3. Extract the highway name and direction from the user's question (e.g., "405 South", "10 West") + 4. Call traffic_status_tool with the highway name AND the hour (as an integer) + 5. After getting the result, clearly report the traffic status + + CRITICAL: You MUST call BOTH tools: + - First: mcp_functions__current_datetime to get current time + - Second: traffic_status_tool with the highway and hour extracted from the datetime + + After getting results, summarize the data clearly like this: + "RESULTS: Current time is [time]. Traffic on [highway] is [status details]. DONE" + + If asked about anything other than LA traffic, respond with 'I can only provide Los Angeles traffic information.' + final_response_agent_name: FinalResponseAgent + final_response_agent_instructions: | + You are the final response agent. + The TrafficAgent has already collected the traffic data using tools - DO NOT call any tools yourself. + Your role is to provide a polished, user-friendly response based on the information already gathered. + Format the traffic information nicely for the user, then say 'APPROVE'. diff --git a/examples/frameworks/nat_ag2_demo/data/toy_data.json b/examples/frameworks/nat_ag2_demo/data/toy_data.json new file mode 100644 index 0000000000..0898d6d35b --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/data/toy_data.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a8da7ca543500c96c6ca3926a62b0c5ebaf784bd08157cbafc5fad7cee5dc3dc +size 855 diff --git a/examples/frameworks/nat_ag2_demo/pyproject.toml b/examples/frameworks/nat_ag2_demo/pyproject.toml index a884ef95d4..06d9076997 100644 --- a/examples/frameworks/nat_ag2_demo/pyproject.toml +++ b/examples/frameworks/nat_ag2_demo/pyproject.toml @@ -14,21 +14,32 @@ # limitations under the License. [build-system] -requires = ["setuptools>=64", "setuptools_dynamic_dependencies"] build-backend = "setuptools.build_meta" +requires = ["setuptools>=64", "setuptools-scm>=8", "setuptools_dynamic_dependencies>=1.0.0"] -[project] -name = "nat-ag2-demo" -dynamic = ["version", "dependencies"] +[tool.setuptools_scm] +git_describe_command = "git describe --long --first-parent" +root = "../../.." [tool.setuptools.packages.find] where = ["src"] include = ["nat_ag2_demo.*"] +[project] +name = "nat-ag2-demo" +dynamic = ["version", "dependencies"] +requires-python = ">=3.11,<3.14" +description = "AG2 (formerly AutoGen) Workflow Example" +keywords = ["ai", "agents", "ag2", "autogen", "multi-agent"] +classifiers = ["Programming Language :: Python"] + [tool.setuptools_dynamic_dependencies] dependencies = [ - "nvidia-nat[ag2,eval,test] == {version}", + "nvidia-nat[ag2,eval,mcp,test] == {version}", ] +[tool.uv.sources] +nvidia-nat = { path = "../../..", editable = true } + [project.entry-points.'nat.components'] nat_ag2_demo = "nat_ag2_demo.register" diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py index 4138a372c8..d116910e48 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py @@ -15,37 +15,32 @@ """AG2 (formerly AutoGen) research team demo for NAT. -Two agents (researcher + writer) collaborate via GroupChat +Two agents (researcher + writer) collaborate via AutoPattern GroupChat to produce a research summary with NAT profiling integration. """ -from pydantic import Field +from collections.abc import AsyncIterator -from autogen import ConversableAgent -from autogen.agentchat import initiate_group_chat -from autogen.agentchat.group.patterns import AutoPattern +from pydantic import Field -from nat.builder import Builder +from nat.builder.builder import Builder from nat.builder.framework_enum import LLMFrameworkEnum +from nat.builder.function_info import FunctionInfo from nat.cli.register_workflow import register_function +from nat.data_models.component_ref import LLMRef from nat.data_models.function import FunctionBaseConfig -class AG2ResearchConfig(FunctionBaseConfig): +class AG2ResearchConfig(FunctionBaseConfig, name="ag2_research_team"): """Configuration for the AG2 research team.""" - task: str = Field( - default="Research and summarize recent advances " - "in AI agent frameworks.", - description="The research topic.", + llm_name: LLMRef = Field(description="NAT LLM config name.") + max_rounds: int = Field(default=10, description="Max GroupChat rounds.") + researcher_instructions: str = Field( + description="System message for the researcher agent.", ) - llm_config: str = Field( - default="default", - description="NAT LLM config name.", - ) - max_rounds: int = Field( - default=10, - description="Max GroupChat rounds.", + writer_instructions: str = Field( + description="System message for the writer agent.", ) @@ -56,55 +51,68 @@ class AG2ResearchConfig(FunctionBaseConfig): async def ag2_research_team( config: AG2ResearchConfig, builder: Builder, -) -> str: - """Run a 2-agent research team with AG2.""" - llm_config = await builder.get_llm( - config.llm_config, - wrapper_type=LLMFrameworkEnum.AG2, - ) - - researcher = ConversableAgent( - name="researcher", - system_message=( - "You are a research specialist. Investigate the " - "topic thoroughly. Present key facts, data, and " - "sources in a structured format." - ), - llm_config=llm_config, - ) - - writer = ConversableAgent( - name="writer", - system_message=( - "You are a technical writer. Synthesize the " - "researcher's findings into a clear, structured " - "summary with: Key Findings, Analysis, and " - "Recommendations. Keep it under 500 words." - ), - llm_config=llm_config, - ) - - user = ConversableAgent( - name="user", human_input_mode="NEVER" - ) - - pattern = AutoPattern( - initial_agent=researcher, - agents=[researcher, writer], - user_agent=user, - group_manager_args={"llm_config": llm_config}, - ) - - result, _ctx, _last = initiate_group_chat( - pattern=pattern, - messages=config.task, - max_rounds=config.max_rounds, - ) - - # Return last substantive message - for msg in reversed(result.chat_history): - content = msg.get("content", "") - if content and "TERMINATE" not in content: - return content - - return "Research complete." +) -> AsyncIterator[FunctionInfo]: + """Run a 2-agent research team with AG2. + + A researcher agent investigates the configured topic and a writer agent + synthesises the findings into a structured summary. + + Args: + config: Configuration for the research team. + builder: The NAT workflow builder. + + Yields: + FunctionInfo wrapping the research team callable. + """ + from autogen import ConversableAgent + from autogen.agentchat import initiate_group_chat + from autogen.agentchat.group.patterns import AutoPattern + + llm_config = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.AG2) + + async def _ag2_research_team(task: str) -> str: + """Run the AG2 research team on the given task. + + Args: + task: The research topic or question to investigate. + + Returns: + A structured research summary. + """ + researcher = ConversableAgent( + name="researcher", + system_message=config.researcher_instructions, + llm_config=llm_config, + human_input_mode="NEVER", + ) + + writer = ConversableAgent( + name="writer", + system_message=config.writer_instructions, + llm_config=llm_config, + human_input_mode="NEVER", + ) + + user = ConversableAgent(name="user", human_input_mode="NEVER") + + pattern = AutoPattern( + initial_agent=researcher, + agents=[researcher, writer], + user_agent=user, + group_manager_args={"llm_config": llm_config}, + ) + + result, _ctx, _last = initiate_group_chat( + pattern=pattern, + messages=task, + max_rounds=config.max_rounds, + ) + + for msg in reversed(result.chat_history): + content = msg.get("content") or "" + if content and "TERMINATE" not in content: + return content + + return "Research complete." + + yield FunctionInfo.from_fn(_ag2_research_team) diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_team.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_team.py new file mode 100644 index 0000000000..abacfaffe3 --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_team.py @@ -0,0 +1,138 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""AG2 (formerly AutoGen) multi-agent team workflow for NAT. + +Two agents (TrafficAgent + FinalResponseAgent) collaborate via AutoPattern +GroupChat to answer user questions about Los Angeles traffic conditions. +""" + +import logging +from collections.abc import AsyncIterator + +from pydantic import Field + +from nat.builder.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.builder.function_info import FunctionInfo +from nat.cli.register_workflow import register_function +from nat.data_models.component_ref import LLMRef +from nat.data_models.function import FunctionBaseConfig + +logger = logging.getLogger(__name__) + + +class AG2TeamConfig(FunctionBaseConfig, name="ag2_team"): + """Configuration for the AG2 multi-agent team workflow.""" + + llm_name: LLMRef = Field(description="The LLM model to use with AG2 agents.") + tool_names: list[str] = Field(default_factory=list, description="List of tool names to be used by the agents.") + query_processing_agent_name: str = Field(description="Name of the query processing agent.") + query_processing_agent_instructions: str = Field(description="Instructions for the query processing agent.") + final_response_agent_name: str = Field(description="Name of the final response agent.") + final_response_agent_instructions: str = Field(description="Instructions for the final response agent.") + max_rounds: int = Field(default=20, description="Maximum number of group chat rounds.") + + +@register_function(config_type=AG2TeamConfig, framework_wrappers=[LLMFrameworkEnum.AG2]) +async def ag2_team(config: AG2TeamConfig, builder: Builder) -> AsyncIterator[FunctionInfo]: + """AG2 multi-agent team workflow using ConversableAgent and AutoPattern. + + A query-processing agent retrieves data using tools while a final response + agent formats the result. The user ConversableAgent acts as the initiator + and tool executor. AutoPattern with initiate_group_chat orchestrates turns. + + Args: + config: Configuration for the AG2 team. + builder: The NAT workflow builder. + + Yields: + FunctionInfo wrapping the workflow callable. + """ + from autogen import ConversableAgent + from autogen.agentchat import initiate_group_chat + from autogen.agentchat.group.patterns import AutoPattern + + try: + llm_config = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.AG2) + tools = await builder.get_tools(config.tool_names, wrapper_type=LLMFrameworkEnum.AG2) + + async def _ag2_team_workflow(user_input: str) -> str: + """Execute the AG2 AutoPattern group chat workflow. + + Args: + user_input: The user's question. + + Returns: + The final formatted response from the team. + """ + try: + # Query processing agent: knows about tools via LLM registration + query_agent = ConversableAgent( + name=config.query_processing_agent_name, + system_message=config.query_processing_agent_instructions, + llm_config=llm_config, + human_input_mode="NEVER", + ) + + # Final response agent: formats the collected data, no tools + final_agent = ConversableAgent( + name=config.final_response_agent_name, + system_message=config.final_response_agent_instructions, + llm_config=llm_config, + human_input_mode="NEVER", + ) + + # User agent: initiates the chat and executes tool calls + user = ConversableAgent(name="user", human_input_mode="NEVER") + + # Register tools: query_agent's LLM knows about them, user executes them + for tool in tools: + tool.register_for_llm(query_agent) + tool.register_for_execution(user) + + pattern = AutoPattern( + initial_agent=query_agent, + agents=[query_agent, final_agent], + user_agent=user, + group_manager_args={"llm_config": llm_config}, + ) + + result, _ctx, _last = initiate_group_chat( + pattern=pattern, + messages=user_input, + max_rounds=config.max_rounds, + ) + + for msg in reversed(result.chat_history): + content = msg.get("content") or "" + if content and "APPROVE" not in content: + return content + + return "The workflow finished but no output was generated." + + except Exception as e: + logger.exception("Error in AG2 team workflow") + return f"Error occurred during AG2 team workflow: {e!s}" + + yield FunctionInfo.from_fn(_ag2_team_workflow) + + except GeneratorExit: + logger.info("AG2 team workflow exited early") + except Exception as e: + logger.error("Failed to initialize AG2 team workflow: %s", e) + raise + finally: + logger.debug("AG2 team workflow cleanup completed") diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py index d6d07d86e8..177171bfe0 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py @@ -13,4 +13,6 @@ # See the License for the specific language governing permissions and # limitations under the License. -from . import ag2_research_team # noqa: F401 +from . import ag2_research_team # noqa: F401 # pylint: disable=W0611 #imported for side effects (registration) +from . import ag2_team # noqa: F401 # pylint: disable=W0611 #imported for side effects (registration) +from . import traffic_status_tool # noqa: F401 # pylint: disable=W0611 #imported for side effects (registration) diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/traffic_status_tool.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/traffic_status_tool.py new file mode 100644 index 0000000000..c6a7248819 --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/traffic_status_tool.py @@ -0,0 +1,134 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Los Angeles traffic status tool with time-of-day awareness.""" + +from collections.abc import AsyncIterator + +from nat.builder.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.builder.function_info import FunctionInfo +from nat.cli.register_workflow import register_function +from nat.data_models.function import FunctionBaseConfig + + +class TrafficStatusToolConfig(FunctionBaseConfig, name="traffic_status_ag2"): + """Configuration for the traffic status tool.""" + + +def _get_time_period(hour: int) -> str: + """Categorize hour into traffic period. + + Args: + hour: Hour of day (0-23). + + Returns: + Traffic period: 'morning_rush', 'evening_rush', or 'off_peak'. + """ + if 7 <= hour <= 9: + return "morning_rush" + if 16 <= hour <= 19: + return "evening_rush" + return "off_peak" + + +# Traffic data organized by highway, direction, and time period +TRAFFIC_DATA = { + "405-south": { + "morning_rush": "Traffic on the 405 South is heavy between Mulholland Drive and LAX due to morning commuters.", + "evening_rush": "Traffic on the 405 South is light between Mulholland Drive and LAX as commuters head north.", + "off_peak": "Traffic on the 405 South is light between Mulholland Drive and LAX.", + }, + "405-north": { + "morning_rush": "Traffic on the 405 North is light between Westchester and Culver City.", + "evening_rush": "Traffic on the 405 North is heavy between Westchester and Culver City due to evening commuters.", + "off_peak": "Traffic on the 405 North is light between Westchester and Culver City.", + }, + "110-south": { + "morning_rush": "Traffic on the 110 South is heavy between Dodger Stadium and Downtown LA due to morning rush.", + "evening_rush": "Traffic on the 110 South is light from Downtown LA toward Long Beach.", + "off_peak": "Traffic on the 110 South is light from Pasadena to Long Beach.", + }, + "110-north": { + "morning_rush": "Traffic on the 110 North is light from Long Beach to Pasadena.", + "evening_rush": "Traffic on the 110 North is heavy from Downtown LA toward Pasadena due to evening commuters.", + "off_peak": "Traffic on the 110 North is light from Long Beach to Pasadena.", + }, + "10-east": { + "morning_rush": "Traffic on the 10 East is heavy from Santa Monica to Downtown LA due to morning commuters.", + "evening_rush": "Traffic on the 10 East is light from Santa Monica to East Los Angeles.", + "off_peak": "Traffic on the 10 East is light from Santa Monica to East Los Angeles.", + }, + "10-west": { + "morning_rush": "Traffic on the 10 West is light from Downtown LA toward Santa Monica.", + "evening_rush": "Traffic on the 10 West is heavy from Downtown LA to Santa Monica due to evening commuters.", + "off_peak": "Traffic on the 10 West is light from East LA to Santa Monica.", + }, + "210-east": { + "morning_rush": "Traffic on the 210 East is heavy from Pasadena to Azusa due to morning commuters.", + "evening_rush": "Traffic on the 210 East is light from Pasadena to Azusa.", + "off_peak": "Traffic on the 210 East is light from Pasadena to Azusa.", + }, + "210-west": { + "morning_rush": "Traffic on the 210 West is light from Azusa toward Pasadena.", + "evening_rush": "Traffic on the 210 West is heavy from Azusa to Pasadena due to evening commuters.", + "off_peak": "Traffic on the 210 West is light from Azusa to Pasadena.", + }, +} + + +@register_function(config_type=TrafficStatusToolConfig, framework_wrappers=[LLMFrameworkEnum.AG2]) +async def traffic_status(_config: TrafficStatusToolConfig, _builder: Builder) -> AsyncIterator[FunctionInfo]: + """NAT function that provides traffic status for Los Angeles based on time of day. + + Args: + _config: The configuration for the traffic status tool. + _builder: The NAT builder instance. + + Yields: + FunctionInfo wrapping the traffic status tool. + """ + + async def _traffic_status(hwy: str, hour: int) -> str: + """ + Get the traffic status for a Los Angeles highway at a specific hour. + + Args: + hwy (str): The highway name and direction. Supported highways: + '405-south', '405-north', '110-south', '110-north', + '10-east', '10-west', '210-east', '210-west'. + hour (int): The hour of day (0-23). Use the current hour from the datetime tool. + + Returns: + str: The traffic status for the specified highway and hour. + """ + hwy_lower = hwy.lower().strip() + hwy_key = None + for key in TRAFFIC_DATA: + if key in hwy_lower: + hwy_key = key + break + + if hwy_key is None: + return (f"Traffic information for '{hwy}' is not available. " + f"Supported highways: 405-south, 405-north, 110-south, 110-north, " + f"10-east, 10-west, 210-east, 210-west.") + + if not 0 <= hour <= 23: + return f"Invalid hour '{hour}'. Please provide an hour between 0 and 23." + + period = _get_time_period(hour) + return TRAFFIC_DATA[hwy_key][period] + + yield FunctionInfo.from_fn(_traffic_status, description=_traffic_status.__doc__) diff --git a/packages/nvidia_nat_ag2/pyproject.toml b/packages/nvidia_nat_ag2/pyproject.toml index 591707ed48..408338499e 100644 --- a/packages/nvidia_nat_ag2/pyproject.toml +++ b/packages/nvidia_nat_ag2/pyproject.toml @@ -14,8 +14,12 @@ # limitations under the License. [build-system] -requires = ["setuptools>=64", "setuptools_dynamic_dependencies"] build-backend = "setuptools.build_meta" +requires = ["setuptools>=64", "setuptools-scm>=8", "setuptools_dynamic_dependencies>=1.0.0"] + +[tool.setuptools_scm] +git_describe_command = "git describe --long --first-parent" +root = "../.." [project] name = "nvidia-nat-ag2" diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py index f8f964afe2..b04de3d050 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/llm.py @@ -24,7 +24,7 @@ from autogen import LLMConfig -from nat.builder import Builder +from nat.builder.builder import Builder from nat.builder.framework_enum import LLMFrameworkEnum from nat.cli.register_workflow import register_llm_client from nat.data_models.common import get_secret_value @@ -44,11 +44,11 @@ async def openai_ag2( """Yield an AG2 LLMConfig for OpenAI.""" config_dict = { "api_type": "openai", - "model": llm_config.model, + "model": llm_config.model_name, "api_key": get_secret_value(llm_config.api_key), } - if llm_config.api_base: - config_dict["base_url"] = llm_config.api_base + if llm_config.base_url: + config_dict["base_url"] = llm_config.base_url yield LLMConfig( config_dict, @@ -67,10 +67,10 @@ async def nim_ag2( """Yield an AG2 LLMConfig for NVIDIA NIM.""" config_dict = { "api_type": "openai", - "model": llm_config.model, + "model": llm_config.model_name, "api_key": get_secret_value(llm_config.api_key), "base_url": ( - llm_config.api_base + llm_config.base_url or "https://integrate.api.nvidia.com/v1" ), } @@ -90,15 +90,15 @@ async def azure_ag2( _builder: Builder, ) -> AsyncGenerator[LLMConfig, None]: """Yield an AG2 LLMConfig for Azure OpenAI.""" - if not llm_config.api_base: + if not llm_config.azure_endpoint: raise ValueError( - "api_base is required for Azure OpenAI configs" + "azure_endpoint is required for Azure OpenAI configs" ) config_dict = { "api_type": "azure", - "model": llm_config.model, + "model": llm_config.azure_deployment, "api_key": get_secret_value(llm_config.api_key), - "base_url": llm_config.api_base, + "base_url": llm_config.azure_endpoint, "api_version": llm_config.api_version, } diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py index a79e0fab43..ff360369d8 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py @@ -21,7 +21,7 @@ from autogen.tools import Tool -from nat.builder import Builder +from nat.builder.builder import Builder from nat.builder.framework_enum import LLMFrameworkEnum from nat.cli.register_workflow import register_tool_wrapper from nat.builder.function import Function From b6d1e935511b2b9cc661b15ce0f71e2ebae6e25d Mon Sep 17 00:00:00 2001 From: jsun-m Date: Fri, 20 Mar 2026 10:57:31 -0700 Subject: [PATCH 6/8] add async Signed-off-by: John Marshall --- README.md | 2 +- .../nat_ag2_demo/configs/config-async.yml | 83 ++++ .../src/nat_ag2_demo/ag2_async_team.py | 140 +++++++ .../nat_ag2_demo/src/nat_ag2_demo/register.py | 1 + packages/nvidia_nat_ag2/pyproject.toml | 2 +- .../src/nat/plugins/ag2/callback_handler.py | 267 +++++++----- .../src/nat/plugins/ag2/tool_wrapper.py | 58 ++- .../tests/test_callback_handler.py | 386 ++++++++++++++++++ .../nvidia_nat_ag2/tests/test_tool_wrapper.py | 255 ++++++++++++ .../profiler/decorators/framework_wrapper.py | 14 + 10 files changed, 1082 insertions(+), 126 deletions(-) create mode 100644 examples/frameworks/nat_ag2_demo/configs/config-async.yml create mode 100644 examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_async_team.py create mode 100644 packages/nvidia_nat_ag2/tests/test_callback_handler.py create mode 100644 packages/nvidia_nat_ag2/tests/test_tool_wrapper.py diff --git a/README.md b/README.md index 4bf040d5ff..bfdea7228b 100644 --- a/README.md +++ b/README.md @@ -181,6 +181,7 @@ We would like to thank the following groups for their contribution to the toolki In addition, we would like to thank the following open source projects that made NeMo Agent Toolkit possible: +- [AG2](https://github.com/ag2ai/ag2) - [Agent2Agent (A2A) Protocol](https://github.com/a2aproject/A2A) - [CrewAI](https://github.com/crewAIInc/crewAI) - [Dynamo](https://github.com/ai-dynamo/dynamo) @@ -189,7 +190,6 @@ In addition, we would like to thank the following open source projects that made - [LangChain](https://github.com/langchain-ai/langchain) - [Llama-Index](https://github.com/run-llama/llama_index) - [Mem0ai](https://github.com/mem0ai/mem0) -- [AG2](https://github.com/ag2ai/ag2) - [Microsoft AutoGen](https://github.com/microsoft/autogen) - [MinIO](https://github.com/minio/minio) - [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol/modelcontextprotocol) diff --git a/examples/frameworks/nat_ag2_demo/configs/config-async.yml b/examples/frameworks/nat_ag2_demo/configs/config-async.yml new file mode 100644 index 0000000000..a780f02a2a --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/configs/config-async.yml @@ -0,0 +1,83 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Demonstrates AG2's fully async execution path using a_initiate_group_chat. +# Tools are awaited natively instead of running in a ThreadPoolExecutor. +# +# Usage: +# nat run examples/frameworks/nat_ag2_demo/configs/config-async.yml \ +# --input "What is the current traffic on the 405 South?" + +general: + telemetry: + logging: + console: + _type: console + level: debug + +llms: + nim_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + api_key: ${NVIDIA_API_KEY} + base_url: https://integrate.api.nvidia.com/v1 + temperature: 0.0 + max_tokens: 1024 + +function_groups: + mcp_functions: + _type: mcp_client + server: + transport: streamable-http + url: "http://localhost:9901/mcp" + include: + - current_datetime + +functions: + traffic_status_tool: + _type: nat_ag2_demo/traffic_status_ag2 + description: "Get the traffic status for a Los Angeles highway given the current hour" + +workflow: + _type: ag2_async_team + llm_name: nim_llm + description: "To get the current traffic status for Los Angeles highways (async)" + tool_names: [mcp_functions__current_datetime, traffic_status_tool] + query_processing_agent_name: TrafficAgent + query_processing_agent_instructions: | + You are an agent that provides current traffic information for Los Angeles highways. + You MUST use your available tools to get accurate information - do NOT make up or guess any data. + + WORKFLOW: + 1. First, call mcp_functions__current_datetime with any string (e.g., "now") to get the current time + 2. Extract the HOUR (0-23) from the datetime result + 3. Extract the highway name and direction from the user's question (e.g., "405 South", "10 West") + 4. Call traffic_status_tool with the highway name AND the hour (as an integer) + 5. After getting the result, clearly report the traffic status + + CRITICAL: You MUST call BOTH tools: + - First: mcp_functions__current_datetime to get current time + - Second: traffic_status_tool with the highway and hour extracted from the datetime + + After getting results, summarize the data clearly like this: + "RESULTS: Current time is [time]. Traffic on [highway] is [status details]. DONE" + + If asked about anything other than LA traffic, respond with 'I can only provide Los Angeles traffic information.' + final_response_agent_name: FinalResponseAgent + final_response_agent_instructions: | + You are the final response agent. + The TrafficAgent has already collected the traffic data using tools - DO NOT call any tools yourself. + Your role is to provide a polished, user-friendly response based on the information already gathered. + Format the traffic information nicely for the user, then say 'APPROVE'. diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_async_team.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_async_team.py new file mode 100644 index 0000000000..83b7518153 --- /dev/null +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_async_team.py @@ -0,0 +1,140 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""AG2 async multi-agent team workflow for NAT. + +Demonstrates AG2's native async execution path using ``a_initiate_group_chat``. +Tools are executed asynchronously via ``await`` instead of the thread-pool +workaround previously required by the sync path. + +Two agents (TrafficAgent + FinalResponseAgent) collaborate via AutoPattern +GroupChat to answer user questions about Los Angeles traffic conditions. +""" + +import logging +from collections.abc import AsyncIterator + +from pydantic import Field + +from nat.builder.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.builder.function_info import FunctionInfo +from nat.cli.register_workflow import register_function +from nat.data_models.component_ref import LLMRef +from nat.data_models.function import FunctionBaseConfig + +logger = logging.getLogger(__name__) + + +class AG2AsyncTeamConfig(FunctionBaseConfig, name="ag2_async_team"): + """Configuration for the AG2 async multi-agent team workflow.""" + + llm_name: LLMRef = Field(description="The LLM model to use with AG2 agents.") + tool_names: list[str] = Field(default_factory=list, description="List of tool names to be used by the agents.") + query_processing_agent_name: str = Field(description="Name of the query processing agent.") + query_processing_agent_instructions: str = Field(description="Instructions for the query processing agent.") + final_response_agent_name: str = Field(description="Name of the final response agent.") + final_response_agent_instructions: str = Field(description="Instructions for the final response agent.") + max_rounds: int = Field(default=20, description="Maximum number of group chat rounds.") + + +@register_function(config_type=AG2AsyncTeamConfig, framework_wrappers=[LLMFrameworkEnum.AG2]) +async def ag2_async_team(config: AG2AsyncTeamConfig, builder: Builder) -> AsyncIterator[FunctionInfo]: + """AG2 async multi-agent team workflow using a_initiate_group_chat. + + This variant uses AG2's fully async execution path: + - ``a_initiate_group_chat`` for async group chat orchestration + - ``a_generate_tool_calls_reply`` for async tool execution + - Tools are awaited natively (no ThreadPoolExecutor needed) + + Args: + config: Configuration for the AG2 async team. + builder: The NAT workflow builder. + + Yields: + FunctionInfo wrapping the async workflow callable. + """ + from autogen import ConversableAgent + from autogen.agentchat import a_initiate_group_chat + from autogen.agentchat.group.patterns import AutoPattern + + try: + llm_config = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.AG2) + tools = await builder.get_tools(config.tool_names, wrapper_type=LLMFrameworkEnum.AG2) + + async def _ag2_async_team_workflow(user_input: str) -> str: + """Execute the AG2 async AutoPattern group chat workflow. + + Args: + user_input: The user's question. + + Returns: + The final formatted response from the team. + """ + try: + query_agent = ConversableAgent( + name=config.query_processing_agent_name, + system_message=config.query_processing_agent_instructions, + llm_config=llm_config, + human_input_mode="NEVER", + ) + + final_agent = ConversableAgent( + name=config.final_response_agent_name, + system_message=config.final_response_agent_instructions, + llm_config=llm_config, + human_input_mode="NEVER", + ) + + user = ConversableAgent(name="user", human_input_mode="NEVER") + + for tool in tools: + tool.register_for_llm(query_agent) + tool.register_for_execution(user) + + pattern = AutoPattern( + initial_agent=query_agent, + agents=[query_agent, final_agent], + user_agent=user, + group_manager_args={"llm_config": llm_config}, + ) + + # Use the async variant — tools are awaited natively + result, _ctx, _last = await a_initiate_group_chat( + pattern=pattern, + messages=user_input, + max_rounds=config.max_rounds, + ) + + for msg in reversed(result.chat_history): + content = msg.get("content") or "" + if content and "APPROVE" not in content: + return content + + return "The workflow finished but no output was generated." + + except Exception as e: + logger.exception("Error in AG2 async team workflow") + return f"Error occurred during AG2 async team workflow: {e!s}" + + yield FunctionInfo.from_fn(_ag2_async_team_workflow) + + except GeneratorExit: + logger.info("AG2 async team workflow exited early") + except Exception as e: + logger.error("Failed to initialize AG2 async team workflow: %s", e) + raise + finally: + logger.debug("AG2 async team workflow cleanup completed") diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py index 177171bfe0..9ecd530c4f 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/register.py @@ -13,6 +13,7 @@ # See the License for the specific language governing permissions and # limitations under the License. +from . import ag2_async_team # noqa: F401 # pylint: disable=W0611 #imported for side effects (registration) from . import ag2_research_team # noqa: F401 # pylint: disable=W0611 #imported for side effects (registration) from . import ag2_team # noqa: F401 # pylint: disable=W0611 #imported for side effects (registration) from . import traffic_status_tool # noqa: F401 # pylint: disable=W0611 #imported for side effects (registration) diff --git a/packages/nvidia_nat_ag2/pyproject.toml b/packages/nvidia_nat_ag2/pyproject.toml index 408338499e..1910951e49 100644 --- a/packages/nvidia_nat_ag2/pyproject.toml +++ b/packages/nvidia_nat_ag2/pyproject.toml @@ -33,7 +33,7 @@ include = ["nat.*"] [tool.setuptools_dynamic_dependencies] dependencies = [ "nvidia-nat-core == {version}", - "ag2[openai] >= 0.11.0", + "ag2[openai] ~= 0.11", ] [project.entry-points.'nat.components'] diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py index d4038facf6..0f5c481b79 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/callback_handler.py @@ -17,10 +17,16 @@ Patches AG2's OpenAIWrapper to capture LLM call timings and token usage for the profiling pipeline. + +Supported Methods +----------------- +- ``OpenAIWrapper.create``: LLM completions (sync — AG2's only LLM call path) """ +import logging import threading import time +from collections.abc import Callable from typing import Any from nat.builder.context import Context @@ -32,13 +38,21 @@ from nat.data_models.profiler_callback import BaseProfilerCallback from nat.data_models.token_usage import TokenUsageBaseModel +logger = logging.getLogger(__name__) + class AG2ProfilerHandler(BaseProfilerCallback): - """Instruments AG2 agents for profiling.""" + """Instruments AG2 agents for profiling. - _original_create = None - _patch_lock = threading.Lock() - _handlers: list["AG2ProfilerHandler"] = [] + Monkey-patches AG2's ``OpenAIWrapper.create`` to collect telemetry + data including token usage, inputs, outputs, and timing information. + + Example: + >>> handler = AG2ProfilerHandler() + >>> handler.instrument() + >>> # ... run AG2 workflow ... + >>> handler.uninstrument() + """ def __init__(self) -> None: """Initialize the AG2ProfilerHandler.""" @@ -46,124 +60,163 @@ def __init__(self) -> None: self._lock = threading.Lock() self.last_call_ts = time.time() self.step_manager = Context.get().intermediate_step_manager + self._original_create: Callable[..., Any] | None = None + self._instrumented = False + + def instrument(self) -> None: + """Monkey-patch AG2's LLM calling to emit profiling events. + + Patches ``OpenAIWrapper.create`` if available. + Does nothing if already instrumented or if imports fail. + """ + if self._instrumented: + logger.debug("AG2ProfilerHandler already instrumented; skipping.") + return - def patch(self) -> None: - """Monkey-patch AG2's LLM calling to emit profiling - events.""" try: from autogen.oai.client import OpenAIWrapper except ImportError: + logger.debug("autogen.oai.client not available; skipping AG2 instrumentation") return - with AG2ProfilerHandler._patch_lock: - AG2ProfilerHandler._handlers.append(self) - if AG2ProfilerHandler._original_create is not None: - return # Already patched, just registered + self._original_create = OpenAIWrapper.create + OpenAIWrapper.create = self._create_llm_wrapper(self._original_create) + logger.debug("Patched OpenAIWrapper.create") + + self._instrumented = True + logger.debug("AG2ProfilerHandler instrumentation applied successfully.") + + def uninstrument(self) -> None: + """Restore original AG2 methods. - AG2ProfilerHandler._original_create = ( - OpenAIWrapper.create + Should be called to clean up monkey patches, especially in test environments. + """ + try: + if self._original_create is not None: + from autogen.oai.client import OpenAIWrapper + + OpenAIWrapper.create = self._original_create + self._original_create = None + logger.debug("Restored OpenAIWrapper.create") + + self._instrumented = False + logger.debug("AG2ProfilerHandler uninstrumented successfully.") + except Exception: + logger.exception("Failed to uninstrument AG2ProfilerHandler") + + # Keep legacy aliases for backwards compatibility + patch = instrument + unpatch = uninstrument + + def _extract_model_name(self, kwargs: dict[str, Any]) -> str: + """Extract model name from call kwargs. + + Args: + kwargs: The keyword arguments passed to OpenAIWrapper.create + + Returns: + str: Model name or empty string if not found + """ + return str(kwargs.get("model", "")) + + def _extract_input_text(self, kwargs: dict[str, Any]) -> str: + """Extract sanitized input from call kwargs. + + Args: + kwargs: The keyword arguments passed to OpenAIWrapper.create + + Returns: + str: String representation of sanitized input + """ + return str({ + "model": kwargs.get("model", ""), + "message_count": len(kwargs.get("messages", [])), + }) + + def _create_llm_wrapper(self, original_func: Callable[..., Any]) -> Callable[..., Any]: + """Create wrapper for LLM calls. + + AG2's ``OpenAIWrapper.create`` is synchronous, so the wrapper is also + synchronous. + + Args: + original_func: Original create method to wrap + + Returns: + Callable: Wrapped function with profiling + """ + handler = self + + def wrapped_llm_call(wrapper_self: Any, *args: Any, **kwargs: Any) -> Any: + now = time.time() + with handler._lock: + seconds_between_calls = int(now - handler.last_call_ts) + + model_name = handler._extract_model_name(kwargs) + model_input = handler._extract_input_text(kwargs) + + # Push LLM_START event + start_payload = IntermediateStepPayload( + event_type=IntermediateStepType.LLM_START, + framework=LLMFrameworkEnum.AG2, + name=model_name, + data=StreamEventData(input=model_input), + usage_info=UsageInfo( + token_usage=TokenUsageBaseModel(), + num_llm_calls=1, + seconds_between_calls=seconds_between_calls, + ), ) + start_uuid = start_payload.UUID + handler.step_manager.push_intermediate_step(start_payload) + + try: + result = original_func(wrapper_self, *args, **kwargs) + except Exception as e: + logger.error("Error during LLM call: %s", e) + err_time = time.time() + handler.step_manager.push_intermediate_step( + IntermediateStepPayload( + event_type=IntermediateStepType.LLM_END, + span_event_timestamp=err_time, + framework=LLMFrameworkEnum.AG2, + name=model_name, + data=StreamEventData( + input=model_input, + output=f"error: {type(e).__name__}", + ), + usage_info=UsageInfo( + token_usage=TokenUsageBaseModel(), + ), + UUID=start_uuid, + ) + ) + with handler._lock: + handler.last_call_ts = err_time + raise - def patched_create(wrapper_self: Any, *args: Any, **kwargs: Any) -> Any: - # Capture locally to avoid race with unpatch() - original = AG2ProfilerHandler._original_create - if original is None: - return wrapper_self.create(*args, **kwargs) - - # Snapshot handlers to iterate - with AG2ProfilerHandler._patch_lock: - handlers = list(AG2ProfilerHandler._handlers) - - model_name = kwargs.get("model", "") - sanitized_input = { - "model": model_name, - "message_count": len(kwargs.get("messages", [])), - } - - # Emit LLM_START to all handlers - start_uuids = {} - for h in handlers: - now = time.time() - with h._lock: - seconds_between_calls = int(now - h.last_call_ts) - payload = IntermediateStepPayload( - event_type=IntermediateStepType.LLM_START, + # Push LLM_END event + end_time = time.time() + handler.step_manager.push_intermediate_step( + IntermediateStepPayload( + event_type=IntermediateStepType.LLM_END, + span_event_timestamp=end_time, framework=LLMFrameworkEnum.AG2, name=model_name, - data=StreamEventData(input=str(sanitized_input)), + data=StreamEventData( + input=model_input, + output="completed", + ), usage_info=UsageInfo( token_usage=TokenUsageBaseModel(), num_llm_calls=1, - seconds_between_calls=seconds_between_calls, ), + UUID=start_uuid, ) - start_uuids[id(h)] = payload.UUID - h.step_manager.push_intermediate_step(payload) - - try: - result = original(wrapper_self, *args, **kwargs) - end_time = time.time() - for h in handlers: - h.step_manager.push_intermediate_step( - IntermediateStepPayload( - event_type=IntermediateStepType.LLM_END, - span_event_timestamp=end_time, - framework=LLMFrameworkEnum.AG2, - name=model_name, - data=StreamEventData( - input=str(sanitized_input), - output="completed", - ), - usage_info=UsageInfo( - token_usage=TokenUsageBaseModel(), - num_llm_calls=1, - ), - UUID=start_uuids.get(id(h)), - ) - ) - with h._lock: - h.last_call_ts = end_time - return result - except Exception as e: - err_time = time.time() - for h in handlers: - h.step_manager.push_intermediate_step( - IntermediateStepPayload( - event_type=IntermediateStepType.LLM_END, - span_event_timestamp=err_time, - framework=LLMFrameworkEnum.AG2, - name=model_name, - data=StreamEventData( - input=str(sanitized_input), - output=f"error: {type(e).__name__}", - ), - usage_info=UsageInfo( - token_usage=TokenUsageBaseModel(), - ), - UUID=start_uuids.get(id(h)), - ) - ) - with h._lock: - h.last_call_ts = err_time - raise + ) + with handler._lock: + handler.last_call_ts = end_time - OpenAIWrapper.create = patched_create - - def unpatch(self) -> None: - """Restore original AG2 methods.""" - with AG2ProfilerHandler._patch_lock: - if self in AG2ProfilerHandler._handlers: - AG2ProfilerHandler._handlers.remove(self) - if AG2ProfilerHandler._handlers: - return # Other handlers still active - if AG2ProfilerHandler._original_create is None: - return - try: - from autogen.oai.client import OpenAIWrapper + return result - OpenAIWrapper.create = ( - AG2ProfilerHandler._original_create - ) - AG2ProfilerHandler._original_create = None - except ImportError: - pass + return wrapped_llm_call diff --git a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py index ff360369d8..aadc4eff1e 100644 --- a/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py +++ b/packages/nvidia_nat_ag2/src/nat/plugins/ag2/tool_wrapper.py @@ -15,21 +15,17 @@ """Converts NAT Function objects to AG2 Tool objects.""" -import asyncio -import concurrent.futures +import logging from typing import Any from autogen.tools import Tool from nat.builder.builder import Builder from nat.builder.framework_enum import LLMFrameworkEnum -from nat.cli.register_workflow import register_tool_wrapper from nat.builder.function import Function +from nat.cli.register_workflow import register_tool_wrapper - -_tool_executor = concurrent.futures.ThreadPoolExecutor( - max_workers=4 -) +logger = logging.getLogger(__name__) @register_tool_wrapper(wrapper_type=LLMFrameworkEnum.AG2) @@ -40,16 +36,44 @@ def ag2_tool_wrapper( ) -> Tool: """Convert a NAT Function to an AG2 Tool.""" - def call_function(**kwargs: Any) -> Any: - """Execute the NAT function synchronously.""" - try: - asyncio.get_running_loop() - except RuntimeError: - return asyncio.run(fn.acall(**kwargs)) - future = _tool_executor.submit( - asyncio.run, fn.acall(**kwargs) - ) - return future.result() + async def callable_ainvoke(**kwargs: Any) -> Any: + """Async function to invoke the NAT function. + + Args: + **kwargs: Keyword arguments to pass to the NAT function. + + Returns: + Any: The result of invoking the NAT function. + """ + return await fn.acall_invoke(**kwargs) + + async def callable_astream_collected(**kwargs: Any) -> Any: + """Async function to collect all streamed results from the NAT function. + + AG2 tools return a single value, so streaming results are collected + and joined into a single response. + + Args: + **kwargs: Keyword arguments to pass to the NAT function. + + Returns: + Any: The collected streaming results. + """ + chunks: list[Any] = [] + async for item in fn.acall_stream(**kwargs): + chunks.append(item) + if not chunks: + return "" + if all(isinstance(c, str) for c in chunks): + return "".join(chunks) + return chunks + + if fn.has_streaming_output and not fn.has_single_output: + logger.debug("Creating stream-collected AG2 Tool for: %s", name) + call_function = callable_astream_collected + else: + logger.debug("Creating async AG2 Tool for: %s", name) + call_function = callable_ainvoke call_function.__name__ = name call_function.__doc__ = fn.description or name diff --git a/packages/nvidia_nat_ag2/tests/test_callback_handler.py b/packages/nvidia_nat_ag2/tests/test_callback_handler.py new file mode 100644 index 0000000000..d1aca87fff --- /dev/null +++ b/packages/nvidia_nat_ag2/tests/test_callback_handler.py @@ -0,0 +1,386 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Test AG2 Callback Handler.""" + +import concurrent.futures +import threading +import time +from unittest.mock import Mock +from unittest.mock import patch + +import pytest + +from nat.plugins.ag2.callback_handler import AG2ProfilerHandler + + +class TestAG2ProfilerHandlerInit: + """Test AG2ProfilerHandler initialization.""" + + def test_init_creates_lock(self): + """Test handler creates a threading lock.""" + handler = AG2ProfilerHandler() + assert isinstance(handler._lock, type(threading.Lock())) + + def test_init_sets_timestamp(self): + """Test handler initializes last_call_ts.""" + handler = AG2ProfilerHandler() + assert isinstance(handler.last_call_ts, float) + assert handler.last_call_ts > 0 + + def test_init_not_instrumented(self): + """Test handler starts not instrumented.""" + handler = AG2ProfilerHandler() + assert handler._instrumented is False + + def test_init_no_original_create(self): + """Test handler starts with no original_create.""" + handler = AG2ProfilerHandler() + assert handler._original_create is None + + @patch('nat.plugins.ag2.callback_handler.Context.get') + def test_init_gets_step_manager(self, mock_get): + """Test handler gets step_manager from context.""" + mock_context = Mock() + mock_step_manager = Mock() + mock_context.intermediate_step_manager = mock_step_manager + mock_get.return_value = mock_context + + handler = AG2ProfilerHandler() + assert handler.step_manager is mock_step_manager + + +class TestInstrument: + """Test instrument() method.""" + + def test_instrument_skips_if_already_instrumented(self): + """Test instrument() skips if already instrumented.""" + handler = AG2ProfilerHandler() + handler._instrumented = True + + with patch('nat.plugins.ag2.callback_handler.logger') as mock_logger: + handler.instrument() + mock_logger.debug.assert_any_call("AG2ProfilerHandler already instrumented; skipping.") + + def test_instrument_handles_missing_import(self): + """Test instrument() handles missing autogen.oai.client.""" + handler = AG2ProfilerHandler() + + with patch('nat.plugins.ag2.callback_handler.logger') as mock_logger: + with patch.dict('sys.modules', {'autogen': None, 'autogen.oai': None, 'autogen.oai.client': None}): + with patch('builtins.__import__', side_effect=ImportError("No module")): + handler.instrument() + mock_logger.debug.assert_any_call( + "autogen.oai.client not available; skipping AG2 instrumentation") + + assert handler._instrumented is False + + def test_instrument_patches_create(self): + """Test instrument() patches OpenAIWrapper.create.""" + handler = AG2ProfilerHandler() + + mock_openai_wrapper = Mock() + original_create = Mock() + mock_openai_wrapper.create = original_create + + with patch('nat.plugins.ag2.callback_handler.logger'): + with patch.dict( + 'sys.modules', + { + 'autogen': Mock(), + 'autogen.oai': Mock(), + 'autogen.oai.client': Mock(OpenAIWrapper=mock_openai_wrapper), + }, + ): + handler.instrument() + assert handler._instrumented is True + assert handler._original_create is original_create + # create should now be the wrapper, not the original + assert mock_openai_wrapper.create is not original_create + + handler.uninstrument() + + def test_instrument_sets_instrumented_flag(self): + """Test instrument() sets _instrumented to True.""" + handler = AG2ProfilerHandler() + + with patch('nat.plugins.ag2.callback_handler.logger'): + handler.instrument() + assert handler._instrumented is True + handler.uninstrument() + + def test_legacy_patch_alias(self): + """Test that patch() is an alias for instrument().""" + handler = AG2ProfilerHandler() + assert handler.patch == handler.instrument + + def test_legacy_unpatch_alias(self): + """Test that unpatch() is an alias for uninstrument().""" + handler = AG2ProfilerHandler() + assert handler.unpatch == handler.uninstrument + + +class TestUninstrument: + """Test uninstrument() method.""" + + def test_uninstrument_resets_state(self): + """Test uninstrument() resets handler state.""" + handler = AG2ProfilerHandler() + handler._instrumented = True + + mock_openai_wrapper = Mock() + original_create = Mock() + handler._original_create = original_create + + with patch('nat.plugins.ag2.callback_handler.logger'): + with patch.dict( + 'sys.modules', + { + 'autogen': Mock(), + 'autogen.oai': Mock(), + 'autogen.oai.client': Mock(OpenAIWrapper=mock_openai_wrapper), + }, + ): + handler.uninstrument() + + assert handler._instrumented is False + assert handler._original_create is None + assert mock_openai_wrapper.create is original_create + + def test_uninstrument_handles_import_errors(self): + """Test uninstrument() handles import errors gracefully.""" + handler = AG2ProfilerHandler() + handler._instrumented = True + handler._original_create = Mock() + + with patch('nat.plugins.ag2.callback_handler.logger') as mock_logger: + with patch('builtins.__import__', side_effect=ImportError("No module")): + handler.uninstrument() + mock_logger.exception.assert_called_with("Failed to uninstrument AG2ProfilerHandler") + + def test_uninstrument_noop_when_not_instrumented(self): + """Test uninstrument() is a no-op when original_create is None.""" + handler = AG2ProfilerHandler() + handler._original_create = None + + with patch('nat.plugins.ag2.callback_handler.logger'): + handler.uninstrument() + + assert handler._instrumented is False + + +class TestHelperMethods: + """Test helper extraction methods.""" + + def test_extract_model_name(self): + """Test _extract_model_name extracts model from kwargs.""" + handler = AG2ProfilerHandler() + result = handler._extract_model_name({"model": "gpt-4-turbo"}) + assert result == "gpt-4-turbo" + + def test_extract_model_name_missing(self): + """Test _extract_model_name returns empty string when missing.""" + handler = AG2ProfilerHandler() + result = handler._extract_model_name({}) + assert result == "" + + def test_extract_input_text(self): + """Test _extract_input_text returns sanitized input string.""" + handler = AG2ProfilerHandler() + result = handler._extract_input_text({ + "model": "gpt-4", + "messages": [{"role": "user", "content": "hello"}], + }) + assert "gpt-4" in result + assert "1" in result # message_count + + def test_extract_input_text_empty_messages(self): + """Test _extract_input_text with no messages.""" + handler = AG2ProfilerHandler() + result = handler._extract_input_text({"model": "test"}) + assert "0" in result # message_count = 0 + + +class TestLLMWrapper: + """Test _create_llm_wrapper functionality.""" + + @patch('nat.plugins.ag2.callback_handler.Context.get') + def test_llm_wrapper_pushes_start_and_end_events(self, mock_get): + """Test LLM wrapper pushes START and END events.""" + mock_context = Mock() + mock_step_manager = Mock() + mock_context.intermediate_step_manager = mock_step_manager + mock_get.return_value = mock_context + + handler = AG2ProfilerHandler() + + original_func = Mock(return_value="llm_response") + wrapped = handler._create_llm_wrapper(original_func) + + wrapper_self = Mock() + wrapped(wrapper_self, model="test-model", messages=[{"content": "Hello"}]) + + # Verify both events pushed + assert mock_step_manager.push_intermediate_step.call_count == 2 + + calls = mock_step_manager.push_intermediate_step.call_args_list + assert calls[0][0][0].event_type.value == "LLM_START" + assert calls[1][0][0].event_type.value == "LLM_END" + + @patch('nat.plugins.ag2.callback_handler.Context.get') + def test_llm_wrapper_returns_original_result(self, mock_get): + """Test LLM wrapper returns the original function's result.""" + mock_context = Mock() + mock_context.intermediate_step_manager = Mock() + mock_get.return_value = mock_context + + handler = AG2ProfilerHandler() + + original_func = Mock(return_value="expected_result") + wrapped = handler._create_llm_wrapper(original_func) + + result = wrapped(Mock(), model="test") + assert result == "expected_result" + + @patch('nat.plugins.ag2.callback_handler.Context.get') + def test_llm_wrapper_handles_exception(self, mock_get): + """Test LLM wrapper handles exceptions correctly.""" + mock_context = Mock() + mock_step_manager = Mock() + mock_context.intermediate_step_manager = mock_step_manager + mock_get.return_value = mock_context + + handler = AG2ProfilerHandler() + + original_func = Mock(side_effect=ValueError("LLM Error")) + wrapped = handler._create_llm_wrapper(original_func) + + with pytest.raises(ValueError, match="LLM Error"): + wrapped(Mock(), model="test-model", messages=[]) + + # Should have START and error END + assert mock_step_manager.push_intermediate_step.call_count == 2 + error_call = mock_step_manager.push_intermediate_step.call_args_list[1][0][0] + assert "error: ValueError" in error_call.data.output + + @patch('nat.plugins.ag2.callback_handler.Context.get') + def test_llm_wrapper_uuid_consistency(self, mock_get): + """Test that START and END events share the same UUID.""" + mock_context = Mock() + mock_step_manager = Mock() + mock_context.intermediate_step_manager = mock_step_manager + mock_get.return_value = mock_context + + handler = AG2ProfilerHandler() + + original_func = Mock(return_value="response") + wrapped = handler._create_llm_wrapper(original_func) + + wrapped(Mock(), model="test") + + calls = mock_step_manager.push_intermediate_step.call_args_list + start_uuid = calls[0][0][0].UUID + end_uuid = calls[1][0][0].UUID + assert start_uuid == end_uuid + + @patch('nat.plugins.ag2.callback_handler.Context.get') + def test_llm_wrapper_tracks_seconds_between_calls(self, mock_get): + """Test that wrapper tracks time between calls.""" + mock_context = Mock() + mock_step_manager = Mock() + mock_context.intermediate_step_manager = mock_step_manager + mock_get.return_value = mock_context + + handler = AG2ProfilerHandler() + handler.last_call_ts = time.time() - 5 # 5 seconds ago + + original_func = Mock(return_value="response") + wrapped = handler._create_llm_wrapper(original_func) + + wrapped(Mock(), model="test") + + start_call = mock_step_manager.push_intermediate_step.call_args_list[0][0][0] + assert start_call.usage_info.seconds_between_calls >= 5 + + @patch('nat.plugins.ag2.callback_handler.Context.get') + def test_llm_wrapper_updates_last_call_ts(self, mock_get): + """Test that wrapper updates last_call_ts after success.""" + mock_context = Mock() + mock_context.intermediate_step_manager = Mock() + mock_get.return_value = mock_context + + handler = AG2ProfilerHandler() + old_ts = handler.last_call_ts + + original_func = Mock(return_value="response") + wrapped = handler._create_llm_wrapper(original_func) + + time.sleep(0.01) + wrapped(Mock(), model="test") + + assert handler.last_call_ts > old_ts + + @patch('nat.plugins.ag2.callback_handler.Context.get') + def test_llm_wrapper_uses_ag2_framework(self, mock_get): + """Test that events use AG2 framework identifier.""" + mock_context = Mock() + mock_step_manager = Mock() + mock_context.intermediate_step_manager = mock_step_manager + mock_get.return_value = mock_context + + handler = AG2ProfilerHandler() + + original_func = Mock(return_value="response") + wrapped = handler._create_llm_wrapper(original_func) + + wrapped(Mock(), model="test") + + calls = mock_step_manager.push_intermediate_step.call_args_list + assert calls[0][0][0].framework.value == "ag2" + assert calls[1][0][0].framework.value == "ag2" + + +class TestIntegration: + """Integration tests for full workflow.""" + + def test_full_instrument_uninstrument_cycle(self): + """Test complete instrument/uninstrument cycle.""" + handler = AG2ProfilerHandler() + + assert not handler._instrumented + + handler.instrument() + assert handler._instrumented + + handler.uninstrument() + assert not handler._instrumented + + def test_lock_thread_safety(self): + """Test that lock prevents concurrent timestamp updates.""" + handler = AG2ProfilerHandler() + + def update_timestamp(): + with handler._lock: + time.sleep(0.01) + handler.last_call_ts = time.time() + + with concurrent.futures.ThreadPoolExecutor(max_workers=4) as executor: + futures = [executor.submit(update_timestamp) for _ in range(10)] + concurrent.futures.wait(futures) + + assert handler.last_call_ts > 0 + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/packages/nvidia_nat_ag2/tests/test_tool_wrapper.py b/packages/nvidia_nat_ag2/tests/test_tool_wrapper.py new file mode 100644 index 0000000000..1b11c9143f --- /dev/null +++ b/packages/nvidia_nat_ag2/tests/test_tool_wrapper.py @@ -0,0 +1,255 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Test AG2 tool_wrapper.py — async tool wrapping for AG2.""" + +import asyncio +from unittest.mock import AsyncMock +from unittest.mock import Mock + +import pytest +from pydantic import BaseModel + +from nat.builder.builder import Builder +from nat.builder.function import Function +from nat.plugins.ag2.tool_wrapper import ag2_tool_wrapper + + +class MockInputSchema(BaseModel): + """Mock input schema for tool wrapper.""" + + query: str + limit: int = 10 + + +class TestAG2ToolWrapperBasic: + """Test basic tool wrapper creation.""" + + @pytest.fixture(name="mock_function") + def fixture_mock_function(self): + """Create a mock NAT function for non-streaming.""" + mock_fn = Mock(spec=Function) + mock_fn.description = "Test function description" + mock_fn.input_schema = MockInputSchema + mock_fn.has_streaming_output = False + mock_fn.has_single_output = True + mock_fn.acall_invoke = AsyncMock(return_value="test_result") + mock_fn.acall_stream = AsyncMock() + return mock_fn + + @pytest.fixture(name="mock_builder") + def fixture_mock_builder(self): + """Create a mock builder.""" + return Mock(spec=Builder) + + def test_tool_has_correct_name(self, mock_function, mock_builder): + """Test that created Tool has the correct name.""" + tool = ag2_tool_wrapper("my_tool", mock_function, mock_builder) + assert tool.name == "my_tool" + + def test_tool_has_correct_description(self, mock_function, mock_builder): + """Test that created Tool has the correct description.""" + tool = ag2_tool_wrapper("my_tool", mock_function, mock_builder) + assert tool.description == "Test function description" + + def test_tool_uses_name_when_no_description(self, mock_function, mock_builder): + """Test that tool falls back to name when description is None.""" + mock_function.description = None + tool = ag2_tool_wrapper("fallback_name", mock_function, mock_builder) + assert tool.description == "fallback_name" + + def test_tool_has_json_schema(self, mock_function, mock_builder): + """Test that created Tool has parameter schema from input_schema.""" + tool = ag2_tool_wrapper("my_tool", mock_function, mock_builder) + schema = tool._func_schema + assert schema is not None + assert schema["function"]["parameters"] is not None + + def test_tool_no_schema_when_input_schema_none(self, mock_function, mock_builder): + """Test that tool works when input_schema is None.""" + mock_function.input_schema = None + tool = ag2_tool_wrapper("my_tool", mock_function, mock_builder) + assert tool is not None + + def test_tool_func_is_callable(self, mock_function, mock_builder): + """Test that the tool's underlying function is callable.""" + tool = ag2_tool_wrapper("my_tool", mock_function, mock_builder) + assert callable(tool.func) + + +class TestAG2ToolWrapperAsync: + """Test async tool execution — the core async improvement.""" + + @pytest.fixture(name="mock_function") + def fixture_mock_function(self): + """Create a mock NAT function.""" + mock_fn = Mock(spec=Function) + mock_fn.description = "Async test function" + mock_fn.input_schema = MockInputSchema + mock_fn.has_streaming_output = False + mock_fn.has_single_output = True + mock_fn.acall_invoke = AsyncMock(return_value="async_result") + mock_fn.acall_stream = AsyncMock() + return mock_fn + + @pytest.fixture(name="mock_builder") + def fixture_mock_builder(self): + return Mock(spec=Builder) + + @pytest.mark.asyncio + async def test_callable_ainvoke_returns_result(self, mock_function, mock_builder): + """Test that the async invoke callable returns the correct result.""" + tool = ag2_tool_wrapper("my_tool", mock_function, mock_builder) + + # The tool's func is an async function — call and await it + result = await tool.func(query="hello", limit=5) + assert result == "async_result" + mock_function.acall_invoke.assert_called_once_with(query="hello", limit=5) + + @pytest.mark.asyncio + async def test_callable_ainvoke_is_coroutine(self, mock_function, mock_builder): + """Test that the tool function is a proper coroutine function.""" + tool = ag2_tool_wrapper("my_tool", mock_function, mock_builder) + assert asyncio.iscoroutinefunction(tool.func) + + @pytest.mark.asyncio + async def test_callable_ainvoke_propagates_exceptions(self, mock_function, mock_builder): + """Test that async invoke propagates exceptions.""" + mock_function.acall_invoke = AsyncMock(side_effect=ValueError("invoke failed")) + tool = ag2_tool_wrapper("my_tool", mock_function, mock_builder) + + with pytest.raises(ValueError, match="invoke failed"): + await tool.func(query="bad") + + +class TestAG2ToolWrapperStreaming: + """Test streaming tool wrapping — collected into single result for AG2.""" + + @pytest.fixture(name="mock_builder") + def fixture_mock_builder(self): + return Mock(spec=Builder) + + def _make_streaming_fn(self, stream_items): + """Helper to create a mock function with streaming output.""" + mock_fn = Mock(spec=Function) + mock_fn.description = "Streaming function" + mock_fn.input_schema = MockInputSchema + mock_fn.has_streaming_output = True + mock_fn.has_single_output = False + + async def fake_stream(**kwargs): + for item in stream_items: + yield item + + mock_fn.acall_stream = fake_stream + mock_fn.acall_invoke = AsyncMock() + return mock_fn + + @pytest.mark.asyncio + async def test_stream_collected_joins_strings(self, mock_builder): + """Test that string stream chunks are joined.""" + mock_fn = self._make_streaming_fn(["Hello", " ", "World"]) + tool = ag2_tool_wrapper("stream_tool", mock_fn, mock_builder) + + result = await tool.func(query="test") + assert result == "Hello World" + + @pytest.mark.asyncio + async def test_stream_collected_returns_list_for_non_strings(self, mock_builder): + """Test that non-string stream chunks are returned as list.""" + mock_fn = self._make_streaming_fn([{"a": 1}, {"b": 2}]) + tool = ag2_tool_wrapper("stream_tool", mock_fn, mock_builder) + + result = await tool.func(query="test") + assert result == [{"a": 1}, {"b": 2}] + + @pytest.mark.asyncio + async def test_stream_collected_empty_returns_empty_string(self, mock_builder): + """Test that empty stream returns empty string.""" + mock_fn = self._make_streaming_fn([]) + tool = ag2_tool_wrapper("stream_tool", mock_fn, mock_builder) + + result = await tool.func(query="test") + assert result == "" + + @pytest.mark.asyncio + async def test_stream_collected_is_coroutine(self, mock_builder): + """Test that stream-collected function is a proper coroutine (not async generator).""" + mock_fn = self._make_streaming_fn(["a"]) + tool = ag2_tool_wrapper("stream_tool", mock_fn, mock_builder) + + # Must be a coroutine function, NOT an async generator — + # AG2's is_coroutine_callable checks for this + assert asyncio.iscoroutinefunction(tool.func) + + def test_streaming_fn_selects_stream_path(self, mock_builder): + """Test that streaming-only functions use the stream-collected path.""" + mock_fn = self._make_streaming_fn(["x"]) + tool = ag2_tool_wrapper("stream_tool", mock_fn, mock_builder) + # The function should be named after the tool + assert tool.func.__name__ == "stream_tool" + + def test_non_streaming_fn_selects_invoke_path(self, mock_builder): + """Test that non-streaming functions use the invoke path.""" + mock_fn = Mock(spec=Function) + mock_fn.description = "Non-streaming" + mock_fn.input_schema = None + mock_fn.has_streaming_output = False + mock_fn.has_single_output = True + mock_fn.acall_invoke = AsyncMock() + mock_fn.acall_stream = AsyncMock() + + tool = ag2_tool_wrapper("invoke_tool", mock_fn, mock_builder) + assert tool.func.__name__ == "invoke_tool" + + +class TestAG2ToolWrapperAG2Integration: + """Test that tools work with AG2's async execution model.""" + + @pytest.fixture(name="mock_builder") + def fixture_mock_builder(self): + return Mock(spec=Builder) + + @pytest.mark.asyncio + async def test_ag2_a_execute_function_compatibility(self, mock_builder): + """Test that tools work with AG2's a_execute_function pattern. + + AG2's a_execute_function does: + if is_coroutine_callable(func): + content = await func(**arguments) + else: + content = func(**arguments) + if inspect.isawaitable(content): + content = await content + + Our async callables must pass is_coroutine_callable check. + """ + from autogen.fast_depends.utils import is_coroutine_callable + + mock_fn = Mock(spec=Function) + mock_fn.description = "AG2 compatible tool" + mock_fn.input_schema = None + mock_fn.has_streaming_output = False + mock_fn.has_single_output = True + mock_fn.acall_invoke = AsyncMock(return_value="ag2_result") + mock_fn.acall_stream = AsyncMock() + + tool = ag2_tool_wrapper("ag2_tool", mock_fn, mock_builder) + + # AG2 checks this to decide whether to await + assert is_coroutine_callable(tool.func) + + # Simulate AG2's execution path + result = await tool.func(query="test") + assert result == "ag2_result" diff --git a/packages/nvidia_nat_profiler/src/nat/plugins/profiler/decorators/framework_wrapper.py b/packages/nvidia_nat_profiler/src/nat/plugins/profiler/decorators/framework_wrapper.py index 5812d28dc4..20db52207c 100644 --- a/packages/nvidia_nat_profiler/src/nat/plugins/profiler/decorators/framework_wrapper.py +++ b/packages/nvidia_nat_profiler/src/nat/plugins/profiler/decorators/framework_wrapper.py @@ -36,6 +36,7 @@ "adk": False, "strands": False, "autogen": False, + "ag2": False, } callback_handler_var: ContextVar[Any | None] = ContextVar("callback_handler_var", default=None) @@ -186,6 +187,19 @@ async def wrapper(workflow_config, builder): "Install NAT with AutoGen extras: pip install 'nvidia-nat[autogen]'. Error: %s", e) + if LLMFrameworkEnum.AG2 in frameworks and not _library_instrumented["ag2"]: + try: + from nat.plugins.ag2.callback_handler import AG2ProfilerHandler + handler = AG2ProfilerHandler() + handler.instrument() + _library_instrumented["ag2"] = True + logger.debug("AG2 callback handler registered") + except ImportError as e: + logger.warning( + "AG2 profiler not available. " + + "Install NAT with AG2 extras: pip install 'nvidia-nat[ag2]'. Error: %s", + e) + # IMPORTANT: actually call the wrapped function as an async context manager async with func(workflow_config, builder) as result: yield result From ce90396f8cedffcf69a27048a26d2087a916cfa3 Mon Sep 17 00:00:00 2001 From: jsun-m Date: Fri, 20 Mar 2026 11:25:50 -0700 Subject: [PATCH 7/8] Address feedback... --- README.md | 2 +- examples/frameworks/nat_ag2_demo/README.md | 50 ++++++++++++++++++- .../src/nat_ag2_demo/ag2_async_team.py | 4 +- .../src/nat_ag2_demo/ag2_research_team.py | 4 +- .../nat_ag2_demo/src/nat_ag2_demo/ag2_team.py | 10 ++-- .../src/nat_ag2_demo/traffic_status_tool.py | 6 +++ 6 files changed, 64 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index bfdea7228b..28b7cd8705 100644 --- a/README.md +++ b/README.md @@ -48,7 +48,7 @@ limitations under the License. ## ✨ Key Features - 🛠️ **Building Agents**: Accelerate your agent development with tools that make it easier to get your agent into production. - - 🧩 [**Framework Agnostic:**](./docs/source/components/integrations/frameworks.md) Work side-by-side with agentic frameworks to add the instrumentation necessary for observing, profiling, and optimizing your agents. Use the toolkit with popular frameworks such as [LangChain](https://www.langchain.com/), [LlamaIndex](https://www.llamaindex.ai/), [CrewAI](https://www.crewai.com/), [AG2](https://docs.ag2.ai), [Microsoft Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/), and [Google ADK](https://google.github.io/adk-docs/), as well as custom enterprise agentic frameworks and simple Python agents. + - 🧩 [**Framework Agnostic:**](./docs/source/components/integrations/frameworks.md) Work side-by-side with agentic frameworks to add the instrumentation necessary for observing, profiling, and optimizing your agents. Use the toolkit with popular frameworks such as [LangChain](https://www.langchain.com/), [LlamaIndex](https://www.llamaindex.ai/), [CrewAI](https://www.crewai.com/), [Microsoft Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/), and [Google ADK](https://google.github.io/adk-docs/), as well as custom enterprise agentic frameworks and simple Python agents. - 🔁 [**Reusability:**](./docs/source/components/sharing-components.md) Build components once and use them multiple times to maximize the value from development effort. - ⚡ [**Customization:**](docs/source/get-started/tutorials/customize-a-workflow.md) Start with a pre-built agent, tool, or workflow, and customize it to your needs. - 💬 [**Built-In User Interface:**](./docs/source/run-workflows/launching-ui.md) Use the NeMo Agent Toolkit UI chat interface to interact with your agents, visualize output, and debug workflows. diff --git a/examples/frameworks/nat_ag2_demo/README.md b/examples/frameworks/nat_ag2_demo/README.md index f2a2a6ddb0..f56ae5e2b1 100644 --- a/examples/frameworks/nat_ag2_demo/README.md +++ b/examples/frameworks/nat_ag2_demo/README.md @@ -34,6 +34,8 @@ A quick example using the AG2 framework (formerly AutoGen), showcasing a multi-a - [Run the Workflow](#run-the-workflow) - [Set up the MCP Server](#set-up-the-mcp-server) - [Expected Output](#expected-output) + - [Async Workflow](#async-workflow) + - [Research Team Example](#research-team-example) - [Observability with Phoenix](#observability-with-phoenix) - [Start Phoenix Server](#start-phoenix-server) - [Run with Tracing Enabled](#run-with-tracing-enabled) @@ -43,15 +45,18 @@ A quick example using the AG2 framework (formerly AutoGen), showcasing a multi-a - [Run the Evaluation](#run-the-evaluation) - [Understanding Evaluation Results](#understanding-evaluation-results) - [Architecture](#architecture) + - [Async Execution](#async-execution) - [Tool Integration](#tool-integration) + - [Available Configs](#available-configs) ## Key Features - **AG2 Framework Integration:** Demonstrates NVIDIA NeMo Agent Toolkit support for AG2 (formerly AutoGen) alongside other frameworks like LangChain/LangGraph and Semantic Kernel. +- **Native Async Support:** All workflows use AG2's `a_initiate_group_chat` for non-blocking async execution, with tools awaited natively via `async`/`await`. - **Multi-Agent Collaboration:** Shows two specialized agents working together — a TrafficAgent for data retrieval and a FinalResponseAgent for response formatting. - **Time-Aware Traffic Status:** Provides realistic traffic information that varies based on time of day (morning rush, evening rush, off-peak hours). - **Unified Tool Integration:** Uses the unified abstraction provided by the toolkit to integrate both local tools (traffic status) and MCP tools (time service) without framework-specific code. -- **AutoPattern Group Chat:** Uses AG2's `ConversableAgent` with `AutoPattern` and `initiate_group_chat` for structured agent communication. +- **AutoPattern Group Chat:** Uses AG2's `ConversableAgent` with `AutoPattern` and `a_initiate_group_chat` for structured agent communication. ## Prerequisites @@ -126,6 +131,28 @@ Workflow Result: ["The current traffic conditions on the 405 South are as follows:\n\n* Segment: Mulholland Drive to LAX\n* Traffic Conditions: Light\n\nIt appears that traffic is relatively clear on the 405 South.\n\nAPPROVE"] ``` +## Async Workflow + +The `config-async.yml` config demonstrates the same traffic workflow using a dedicated async workflow type (`ag2_async_team`). This config is functionally identical to the default but uses a separate workflow registration to clearly distinguish the async execution path: + +```bash +nat run --config_file examples/frameworks/nat_ag2_demo/configs/config-async.yml \ + --input "What is the current traffic on the 405 South?" +``` + +Both `config.yml` and `config-async.yml` use AG2's `a_initiate_group_chat` for async execution. The async config exists as an explicit example of the async pattern for reference. + +## Research Team Example + +The `config-research.yml` config demonstrates a different agent pattern — a researcher and writer agent collaborate to produce a structured research summary: + +```bash +nat run --config_file examples/frameworks/nat_ag2_demo/configs/config-research.yml \ + --input "What are the latest advances in quantum computing?" +``` + +This config uses the `ag2_research_team` workflow type which wraps the AG2 research agents as a NAT tool, invoked by a `react_agent` orchestrator. + ## Observability with Phoenix This section demonstrates how to enable distributed tracing using Phoenix to monitor and analyze the AG2 workflow execution. @@ -222,7 +249,17 @@ The AG2 workflow consists of two main agents: - Provides clear, concise answers to user queries - Terminates the conversation with "APPROVE" -The agents communicate through AG2's `AutoPattern` with `initiate_group_chat`. A `ConversableAgent` with `human_input_mode="NEVER"` serves as both the user initiator and tool executor — tool calls from TrafficAgent are routed to it for execution, keeping the group chat flow self-contained. +The agents communicate through AG2's `AutoPattern` with `a_initiate_group_chat`. A `ConversableAgent` with `human_input_mode="NEVER"` serves as both the user initiator and tool executor — tool calls from TrafficAgent are routed to it for execution, keeping the group chat flow self-contained. + +### Async Execution + +All AG2 demo workflows use native async execution: + +- **`a_initiate_group_chat`** orchestrates agent turns without blocking the event loop +- **Tool functions** are async coroutines (`await fn.acall_invoke(...)`) executed natively by AG2's `a_execute_function`, which checks `is_coroutine_callable(func)` and awaits the result +- **Streaming tools** collect results into a single response since AG2 tools return a single value + +This replaces the previous approach of running async tool calls through a `ThreadPoolExecutor`, eliminating unnecessary thread overhead. ### Tool Integration @@ -232,3 +269,12 @@ This example demonstrates the unified approach to tool integration provided by N - **MCP tools** (like `current_datetime`) are configured in YAML using the `mcp_client` function group provided by the toolkit Both types of tools are passed to AG2 agents through the `builder.get_tools()` method, which automatically wraps them for the AG2 framework. This eliminates the need for framework-specific MCP integration code and provides a consistent interface across all supported frameworks (AG2, AutoGen, LangChain, Semantic Kernel, and others). + +## Available Configs + +| Config | Workflow Type | Description | +|--------|--------------|-------------| +| `config.yml` | `ag2_team` | Default traffic workflow with async group chat | +| `config-async.yml` | `ag2_async_team` | Explicit async variant of the traffic workflow | +| `config-research.yml` | `ag2_research_team` | Research team with researcher + writer agents | +| `config-eval.yml` | `ag2_team` | Traffic workflow with Phoenix tracing and evaluation | diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_async_team.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_async_team.py index 83b7518153..38e0143e8d 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_async_team.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_async_team.py @@ -125,9 +125,9 @@ async def _ag2_async_team_workflow(user_input: str) -> str: return "The workflow finished but no output was generated." - except Exception as e: + except Exception: logger.exception("Error in AG2 async team workflow") - return f"Error occurred during AG2 async team workflow: {e!s}" + return "An internal error occurred during the AG2 async team workflow." yield FunctionInfo.from_fn(_ag2_async_team_workflow) diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py index d116910e48..1fcf6cee5f 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_research_team.py @@ -65,7 +65,7 @@ async def ag2_research_team( FunctionInfo wrapping the research team callable. """ from autogen import ConversableAgent - from autogen.agentchat import initiate_group_chat + from autogen.agentchat import a_initiate_group_chat from autogen.agentchat.group.patterns import AutoPattern llm_config = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.AG2) @@ -102,7 +102,7 @@ async def _ag2_research_team(task: str) -> str: group_manager_args={"llm_config": llm_config}, ) - result, _ctx, _last = initiate_group_chat( + result, _ctx, _last = await a_initiate_group_chat( pattern=pattern, messages=task, max_rounds=config.max_rounds, diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_team.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_team.py index abacfaffe3..74df87ac95 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_team.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/ag2_team.py @@ -52,7 +52,7 @@ async def ag2_team(config: AG2TeamConfig, builder: Builder) -> AsyncIterator[Fun A query-processing agent retrieves data using tools while a final response agent formats the result. The user ConversableAgent acts as the initiator - and tool executor. AutoPattern with initiate_group_chat orchestrates turns. + and tool executor. AutoPattern with a_initiate_group_chat orchestrates turns. Args: config: Configuration for the AG2 team. @@ -62,7 +62,7 @@ async def ag2_team(config: AG2TeamConfig, builder: Builder) -> AsyncIterator[Fun FunctionInfo wrapping the workflow callable. """ from autogen import ConversableAgent - from autogen.agentchat import initiate_group_chat + from autogen.agentchat import a_initiate_group_chat from autogen.agentchat.group.patterns import AutoPattern try: @@ -110,7 +110,7 @@ async def _ag2_team_workflow(user_input: str) -> str: group_manager_args={"llm_config": llm_config}, ) - result, _ctx, _last = initiate_group_chat( + result, _ctx, _last = await a_initiate_group_chat( pattern=pattern, messages=user_input, max_rounds=config.max_rounds, @@ -123,9 +123,9 @@ async def _ag2_team_workflow(user_input: str) -> str: return "The workflow finished but no output was generated." - except Exception as e: + except Exception: logger.exception("Error in AG2 team workflow") - return f"Error occurred during AG2 team workflow: {e!s}" + return "An internal error occurred during the AG2 team workflow." yield FunctionInfo.from_fn(_ag2_team_workflow) diff --git a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/traffic_status_tool.py b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/traffic_status_tool.py index c6a7248819..d83460578a 100644 --- a/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/traffic_status_tool.py +++ b/examples/frameworks/nat_ag2_demo/src/nat_ag2_demo/traffic_status_tool.py @@ -125,6 +125,12 @@ async def _traffic_status(hwy: str, hour: int) -> str: f"Supported highways: 405-south, 405-north, 110-south, 110-north, " f"10-east, 10-west, 210-east, 210-west.") + if not isinstance(hour, int): + try: + hour = int(hour) + except (ValueError, TypeError): + return f"Invalid hour '{hour}'. Please provide an hour between 0 and 23." + if not 0 <= hour <= 23: return f"Invalid hour '{hour}'. Please provide an hour between 0 and 23." 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