From d49d69fb87078c653b2c3c2220b19e54edfbe443 Mon Sep 17 00:00:00 2001 From: Vasiliy Radostev Date: Wed, 11 Mar 2026 23:13:26 -0700 Subject: [PATCH 1/3] feat(ag2): add AG2 agent example with Docker Compose integration Co-Authored-By: Claude Sonnet 4.6 --- ag2/.dockerignore | 3 + ag2/.ruff.toml | 8 ++ ag2/Dockerfile | 37 +++++ ag2/README.md | 88 ++++++++++++ ag2/agent.py | 128 ++++++++++++++++++ ag2/compose.offload.yaml | 4 + ag2/compose.openai.yaml | 10 ++ ag2/compose.yaml | 30 ++++ ag2/pyproject.toml | 15 ++ ag2/tests/__init__.py | 0 .../__pycache__/__init__.cpython-312.pyc | Bin 0 -> 164 bytes .../test_agent.cpython-312-pytest-9.0.2.pyc | Bin 0 -> 10548 bytes ag2/tests/test_agent.py | 70 ++++++++++ 13 files changed, 393 insertions(+) create mode 100644 ag2/.dockerignore create mode 100644 ag2/.ruff.toml create mode 100644 ag2/Dockerfile create mode 100644 ag2/README.md create mode 100644 ag2/agent.py create mode 100644 ag2/compose.offload.yaml create mode 100644 ag2/compose.openai.yaml create mode 100644 ag2/compose.yaml create mode 100644 ag2/pyproject.toml create mode 100644 ag2/tests/__init__.py create mode 100644 ag2/tests/__pycache__/__init__.cpython-312.pyc create mode 100644 ag2/tests/__pycache__/test_agent.cpython-312-pytest-9.0.2.pyc create mode 100644 ag2/tests/test_agent.py diff --git a/ag2/.dockerignore b/ag2/.dockerignore new file mode 100644 index 00000000..c496705d --- /dev/null +++ b/ag2/.dockerignore @@ -0,0 +1,3 @@ +* +!pyproject.toml +!agent.py diff --git a/ag2/.ruff.toml b/ag2/.ruff.toml new file mode 100644 index 00000000..481fa6eb --- /dev/null +++ b/ag2/.ruff.toml @@ -0,0 +1,8 @@ +target-version = "py313" +line-length = 100 + +[lint] +select = ["E4", "E7", "E9", "F", "I", "RUF022"] + +[lint.isort] +force-sort-within-sections = true diff --git a/ag2/Dockerfile b/ag2/Dockerfile new file mode 100644 index 00000000..0d4e7174 --- /dev/null +++ b/ag2/Dockerfile @@ -0,0 +1,37 @@ +FROM python:3.13-slim +ENV PYTHONUNBUFFERED=1 + +RUN pip install uv + +WORKDIR /app +COPY pyproject.toml ./ +RUN --mount=type=cache,target=/root/.cache/uv \ + UV_COMPILE_BYTECODE=1 UV_LINK_MODE=copy \ + uv pip install --system . +COPY agent.py . + +COPY <|research topic| GroupChatManager + GroupChatManager -->|auto-selects speaker| researcher + GroupChatManager -->|auto-selects speaker| analyst + GroupChatManager -->|auto-selects speaker| writer + researcher -->|search| mcp-gateway + mcp-gateway -->|DuckDuckGo results| researcher + writer -->|TERMINATE| GroupChatManager +``` + +The Gradio interface streams each agent's messages as they are generated, +making the multi-agent collaboration visible in real time. + +## Project structure + +| File | Purpose | +|---|---| +| `compose.yaml` | Defines the agent service and mcp-gateway sidecar | +| `compose.openai.yaml` | Override to use OpenAI instead of Docker Model Runner | +| `compose.offload.yaml` | Override to use a larger model via Docker Offload | +| `Dockerfile` | Builds the agent container | +| `pyproject.toml` | Python dependencies | +| `agent.py` | Agent definitions, GroupChat setup, Gradio interface | +| `tests/test_agent.py` | Unit tests for agent instantiation (no LLM calls) | + +## AG2 concepts demonstrated + +- `GroupChat` with `speaker_selection_method="auto"` — the manager LLM selects which agent + speaks next based on conversation context, not hardcoded sequencing +- `create_toolkit` from `autogen.mcp` — wraps any MCP server's tools as AG2-native `Tool` + objects, compatible with `register_for_llm` / `register_for_execution` +- `a_initiate_chat` — async-native GroupChat execution, compatible with Gradio's async + streaming generator interface +- Gradio `ChatInterface` with an async generator — yields intermediate results as each + agent's reply is added to `groupchat.messages` diff --git a/ag2/agent.py b/ag2/agent.py new file mode 100644 index 00000000..7a2a7ea9 --- /dev/null +++ b/ag2/agent.py @@ -0,0 +1,128 @@ +""" +Multi-agent research team using AG2 (formerly AutoGen) with Gradio browser UI. + +Open http://localhost:7860 after starting with docker compose up --build. + +Three agents collaborate under GroupChat with LLM-driven speaker selection: + researcher -- searches the web via MCP DuckDuckGo + analyst -- critiques and validates research findings + writer -- synthesises the final Markdown report +""" +import asyncio +import os +from collections.abc import AsyncGenerator + +import gradio as gr +from mcp import ClientSession +from mcp.client.sse import sse_client + +from autogen import ConversableAgent, GroupChat, GroupChatManager, LLMConfig +from autogen.mcp import create_toolkit + +MCP_SERVER_URL = os.environ["MCP_SERVER_URL"] +MODEL_BASE_URL = os.environ["MODEL_BASE_URL"] +MODEL_NAME = os.environ["MODEL_NAME"] +API_KEY = os.environ.get("OPENAI_API_KEY", "cannot_be_empty") + +llm_config = LLMConfig( + config_list=[{"model": MODEL_NAME, "base_url": MODEL_BASE_URL, "api_key": API_KEY}], + temperature=0.3, +) + + +async def research_topic(message: str, history: list) -> AsyncGenerator[str, None]: + """Run a GroupChat research session and stream each agent reply to Gradio.""" + async with ( + sse_client(MCP_SERVER_URL, timeout=60) as (read, write), + ClientSession(read, write) as session, + ): + await session.initialize() + toolkit = await create_toolkit(session=session) + + researcher = ConversableAgent( + name="researcher", + system_message=( + "You are a research specialist. Search the web for accurate, up-to-date " + "information on the assigned topic. Perform at least 3 focused searches. " + "Summarise findings clearly and cite sources." + ), + llm_config=llm_config, + ) + analyst = ConversableAgent( + name="analyst", + system_message=( + "You are a critical analyst. Review the researcher's findings. " + "Identify gaps, contradictions, and areas needing deeper investigation. " + "Ask the researcher for follow-up searches when needed." + ), + llm_config=llm_config, + ) + writer = ConversableAgent( + name="writer", + system_message=( + "You are a technical writer. Once research and analysis are complete, " + "produce a well-structured Markdown report with:\n" + "## Executive Summary\n## Key Findings\n## Conclusion\n" + "End your final message with TERMINATE." + ), + llm_config=llm_config, + is_termination_msg=lambda msg: "TERMINATE" in (msg.get("content") or ""), + ) + + # Register all MCP tools on the researcher (schema for LLM + callable for execution) + toolkit.register_for_llm(researcher) + toolkit.register_for_execution(researcher) + + groupchat = GroupChat( + agents=[researcher, analyst, writer], + messages=[], + max_round=12, + speaker_selection_method="auto", + ) + manager = GroupChatManager(groupchat=groupchat, llm_config=llm_config) + + async def run() -> None: + await researcher.a_initiate_chat( + manager, + message=f"Research the following topic thoroughly: {message}", + ) + + task = asyncio.create_task(run()) + + # Stream messages as they appear in groupchat.messages. + # a_initiate_chat yields control at every LLM await point, allowing + # this polling loop to observe intermediate state without threading. + accumulated: list[str] = [] + last_count = 0 + + while not task.done() or last_count < len(groupchat.messages): + current = list(groupchat.messages) + if len(current) > last_count: + for msg in current[last_count:]: + speaker = msg.get("name") or msg.get("role", "agent") + content = (msg.get("content") or "").strip() + if content and speaker not in ("user", "chat_manager"): + accumulated.append(f"**{speaker}:** {content}") + yield "\n\n---\n\n".join(accumulated) + last_count = len(current) + await asyncio.sleep(0.3) + + await task # propagate any exceptions from the chat + + +demo = gr.ChatInterface( + fn=research_topic, + title="AG2 Multi-Agent Research Team", + description=( + "Enter a research topic. Three AG2 agents (researcher, analyst, writer) collaborate " + "using DuckDuckGo via MCP. Speaker order is determined dynamically by the LLM." + ), + examples=[ + "Latest developments in AI agent frameworks in 2025", + "How does quantum computing affect modern cryptography?", + "What are the environmental impacts of large language models?", + ], +) + +if __name__ == "__main__": + demo.launch(server_name="0.0.0.0", server_port=7860) diff --git a/ag2/compose.offload.yaml b/ag2/compose.offload.yaml new file mode 100644 index 00000000..db22a290 --- /dev/null +++ b/ag2/compose.offload.yaml @@ -0,0 +1,4 @@ +models: + qwen3: + model: ai/qwen3:14B-Q6_K + context_size: 32768 diff --git a/ag2/compose.openai.yaml b/ag2/compose.openai.yaml new file mode 100644 index 00000000..ead38620 --- /dev/null +++ b/ag2/compose.openai.yaml @@ -0,0 +1,10 @@ +services: + agent: + environment: + - OPENAI_MODEL_NAME=gpt-4.1-mini + secrets: + - openai-api-key + +secrets: + openai-api-key: + file: secret.openai-api-key diff --git a/ag2/compose.yaml b/ag2/compose.yaml new file mode 100644 index 00000000..e7834d87 --- /dev/null +++ b/ag2/compose.yaml @@ -0,0 +1,30 @@ +services: + agent: + build: + context: . + ports: + # Gradio browser UI + - 7860:7860 + environment: + - MCP_SERVER_URL=http://mcp-gateway:8811/sse + depends_on: + - mcp-gateway + models: + qwen3: + endpoint_var: MODEL_RUNNER_URL + model_var: MODEL_RUNNER_MODEL + + mcp-gateway: + image: docker/mcp-gateway:latest + use_api_socket: true + command: + - --transport=sse + - --servers=duckduckgo + - --tools=search + +models: + qwen3: + model: ai/qwen3:8B-Q4_0 + context_size: 8192 + runtime_flags: + - --no-prefill-assistant diff --git a/ag2/pyproject.toml b/ag2/pyproject.toml new file mode 100644 index 00000000..f9929772 --- /dev/null +++ b/ag2/pyproject.toml @@ -0,0 +1,15 @@ +[project] +name = "ag2-demo" +version = "0.1.0" +description = "AG2 multi-agent research team with Gradio browser UI" +requires-python = ">=3.13" +dependencies = [ + "ag2[openai,mcp]>=0.11.0", + "gradio>=4.0", +] + +[dependency-groups] +dev = [ + 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/dev/null +++ b/ag2/tests/test_agent.py @@ -0,0 +1,70 @@ +"""Unit tests for the AG2 research team agent — no LLM calls, no network.""" +import os + +import pytest + +os.environ.setdefault("OPENAI_API_KEY", "test-key") +os.environ.setdefault("MODEL_BASE_URL", "https://api.openai.com/v1") +os.environ.setdefault("MODEL_NAME", "gpt-4o-mini") +os.environ.setdefault("MCP_SERVER_URL", "http://localhost:8811/sse") + +from autogen import ConversableAgent, GroupChat, GroupChatManager, LLMConfig + + +def build_test_llm_config() -> LLMConfig: + return LLMConfig( + {"model": "gpt-4o-mini", "base_url": "https://api.openai.com/v1", "api_key": "test"} + ) + + +def test_agents_instantiate() -> None: + llm = build_test_llm_config() + researcher = ConversableAgent(name="researcher", system_message="test", llm_config=llm) + analyst = ConversableAgent(name="analyst", system_message="test", llm_config=llm) + writer = ConversableAgent( + name="writer", + system_message="test", + llm_config=llm, + is_termination_msg=lambda m: "TERMINATE" in (m.get("content") or ""), + ) + assert researcher.name == "researcher" + assert analyst.name == "analyst" + assert writer.name == "writer" + + +def test_group_chat_setup() -> None: + llm = build_test_llm_config() + agents = [ + ConversableAgent(name=f"agent_{i}", system_message="test", llm_config=llm) + for i in range(3) + ] + gc = GroupChat( + agents=agents, + messages=[], + max_round=12, + speaker_selection_method="auto", + ) + manager = GroupChatManager(groupchat=gc, llm_config=llm) + assert len(gc.agents) == 3 + assert gc.max_round == 12 + assert gc.speaker_selection_method == "auto" + assert manager.name == "chat_manager" + + +def test_termination_condition() -> None: + llm = build_test_llm_config() + writer = ConversableAgent( + name="writer", + system_message="test", + llm_config=llm, + is_termination_msg=lambda m: "TERMINATE" in (m.get("content") or ""), + ) + assert writer._is_termination_msg({"content": "Great report. TERMINATE"}) is True + assert writer._is_termination_msg({"content": "Still working..."}) is False + assert writer._is_termination_msg({"content": ""}) is False + + +def test_llm_config_model_name() -> None: + llm = build_test_llm_config() + agent = ConversableAgent(name="test_agent", system_message="test", llm_config=llm) + assert agent.llm_config["config_list"][0]["model"] == "gpt-4o-mini" From 81a7e453e2b08ead253edb655e415316596c3d1c Mon Sep 17 00:00:00 2001 From: Vasiliy Radostev Date: Wed, 11 Mar 2026 23:44:04 -0700 Subject: [PATCH 2/3] chore: remove __pycache__ files accidentally committed Co-Authored-By: Claude Sonnet 4.6 --- ag2/tests/__pycache__/__init__.cpython-312.pyc | Bin 164 -> 0 bytes .../test_agent.cpython-312-pytest-9.0.2.pyc | Bin 10548 -> 0 bytes 2 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 ag2/tests/__pycache__/__init__.cpython-312.pyc delete mode 100644 ag2/tests/__pycache__/test_agent.cpython-312-pytest-9.0.2.pyc diff --git 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changed, 1693 insertions(+), 2 deletions(-) create mode 100644 ag2/.gitignore create mode 100644 ag2/uv.lock diff --git a/ag2/.gitignore b/ag2/.gitignore new file mode 100644 index 00000000..85e15852 --- /dev/null +++ b/ag2/.gitignore @@ -0,0 +1,8 @@ +/secret.* +/.vscode +/.venv +/.mypy_cache +/.ruff_cache +/.python-version +__pycache__ +*.pyc diff --git a/ag2/agent.py b/ag2/agent.py index 7a2a7ea9..2b2838cd 100644 --- a/ag2/agent.py +++ b/ag2/agent.py @@ -25,7 +25,7 @@ API_KEY = os.environ.get("OPENAI_API_KEY", "cannot_be_empty") llm_config = LLMConfig( - config_list=[{"model": MODEL_NAME, "base_url": MODEL_BASE_URL, "api_key": API_KEY}], + {"model": MODEL_NAME, "base_url": MODEL_BASE_URL, "api_key": API_KEY}, temperature=0.3, ) @@ -107,7 +107,11 @@ async def run() -> None: last_count = len(current) await asyncio.sleep(0.3) - await task # propagate any exceptions from the chat + try: + await task + except Exception as exc: + accumulated.append(f"**error:** {exc}") + yield 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