autogen/python/packages/autogen-agentchat/tests/test_group_chat_endpoint.py

106 lines
3.8 KiB
Python

import os
from typing import List, Sequence
import pytest
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.base import TaskResult
from autogen_agentchat.messages import BaseAgentEvent, BaseChatMessage
from autogen_agentchat.teams import SelectorGroupChat
from autogen_agentchat.ui import Console
from autogen_core.models import ChatCompletionClient
from autogen_ext.models.openai import OpenAIChatCompletionClient
async def _test_selector_group_chat(model_client: ChatCompletionClient) -> None:
assistant = AssistantAgent(
"assistant",
description="A helpful assistant agent.",
model_client=model_client,
system_message="You are a helpful assistant.",
)
critic = AssistantAgent(
"critic",
description="A critic agent to provide feedback.",
model_client=model_client,
system_message="Provide feedback.",
)
team = SelectorGroupChat([assistant, critic], model_client=model_client, max_turns=2)
await Console(team.run_stream(task="Draft a short email about organizing a holiday party for new year."))
async def _test_selector_group_chat_with_candidate_func(model_client: ChatCompletionClient) -> None:
filtered_participants = ["developer", "tester"]
def dummy_candidate_func(thread: Sequence[BaseAgentEvent | BaseChatMessage]) -> List[str]:
# Dummy candidate function that will return
# only return developer and reviewer
return filtered_participants
developer = AssistantAgent(
"developer",
description="Writes and implements code based on requirements.",
model_client=model_client,
system_message="You are a software developer working on a new feature.",
)
tester = AssistantAgent(
"tester",
description="Writes and executes test cases to validate the implementation.",
model_client=model_client,
system_message="You are a software tester ensuring the feature works correctly.",
)
project_manager = AssistantAgent(
"project_manager",
description="Oversees the project and ensures alignment with the broader goals.",
model_client=model_client,
system_message="You are a project manager ensuring the team meets the project goals.",
)
team = SelectorGroupChat(
participants=[developer, tester, project_manager],
model_client=model_client,
max_turns=3,
candidate_func=dummy_candidate_func,
)
task = "Create a detailed implementation plan for adding dark mode in a React app and review it for feasibility and improvements."
async for message in team.run_stream(task=task):
if not isinstance(message, TaskResult):
if message.source == "user": # ignore the first 'user' message
continue
assert message.source in filtered_participants, "Candidate function didn't filter the participants"
@pytest.mark.asyncio
async def test_selector_group_chat_gemini() -> None:
try:
api_key = os.environ["GEMINI_API_KEY"]
except KeyError:
pytest.skip("GEMINI_API_KEY not set in environment variables.")
model_client = OpenAIChatCompletionClient(
model="gemini-1.5-flash",
api_key=api_key,
)
await _test_selector_group_chat(model_client)
await _test_selector_group_chat_with_candidate_func(model_client)
@pytest.mark.asyncio
async def test_selector_group_chat_openai() -> None:
try:
api_key = os.environ["OPENAI_API_KEY"]
except KeyError:
pytest.skip("OPENAI_API_KEY not set in environment variables.")
model_client = OpenAIChatCompletionClient(
model="gpt-4o-mini",
api_key=api_key,
)
await _test_selector_group_chat(model_client)
await _test_selector_group_chat_with_candidate_func(model_client)