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7ba99186fb
* WIP implementation for agentchat * WIP * WIP * wip * WIP * WIP * WIP * WIP * fix types * format * fix build * Fix build * use a simpler implementation of thread -- list * Select speaker to return speaker topic type * add parent topic type to agent container * Address comments * Add check to make sure agent id is constant in a team run. * Fix build
77 lines
3.1 KiB
Python
77 lines
3.1 KiB
Python
import asyncio
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import tempfile
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from typing import Any, AsyncGenerator, List
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import pytest
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from autogen_agentchat.agents import CodeExecutorAgent, CodingAssistantAgent
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from autogen_agentchat.teams import RoundRobinGroupChat
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from autogen_core.components.code_executor import LocalCommandLineCodeExecutor
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from autogen_core.components.models import OpenAIChatCompletionClient
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from openai.resources.chat.completions import AsyncCompletions
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from openai.types.chat.chat_completion import ChatCompletion, Choice
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from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
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from openai.types.chat.chat_completion_message import ChatCompletionMessage
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from openai.types.completion_usage import CompletionUsage
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class _MockChatCompletion:
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def __init__(self, model: str = "gpt-4o") -> None:
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self._saved_chat_completions: List[ChatCompletion] = [
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ChatCompletion(
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id="id1",
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choices=[
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Choice(
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finish_reason="stop",
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index=0,
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message=ChatCompletionMessage(
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content="""Here is the program\n ```python\nprint("Hello, world!")\n```""",
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role="assistant",
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),
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)
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],
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created=0,
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model=model,
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object="chat.completion",
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usage=CompletionUsage(prompt_tokens=0, completion_tokens=0, total_tokens=0),
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),
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ChatCompletion(
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id="id2",
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choices=[
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Choice(
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finish_reason="stop",
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index=0,
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message=ChatCompletionMessage(content="TERMINATE", role="assistant"),
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)
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],
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created=0,
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model=model,
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object="chat.completion",
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usage=CompletionUsage(prompt_tokens=0, completion_tokens=0, total_tokens=0),
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),
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]
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self._curr_index = 0
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async def mock_create(
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self, *args: Any, **kwargs: Any
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) -> ChatCompletion | AsyncGenerator[ChatCompletionChunk, None]:
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await asyncio.sleep(0.1)
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completion = self._saved_chat_completions[self._curr_index]
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self._curr_index += 1
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return completion
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@pytest.mark.asyncio
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async def test_round_robin_group_chat(monkeypatch: pytest.MonkeyPatch) -> None:
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mock = _MockChatCompletion(model="gpt-4o-2024-05-13")
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monkeypatch.setattr(AsyncCompletions, "create", mock.mock_create)
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with tempfile.TemporaryDirectory() as temp_dir:
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code_executor_agent = CodeExecutorAgent(
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"code_executor", code_executor=LocalCommandLineCodeExecutor(work_dir=temp_dir)
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)
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coding_assistant_agent = CodingAssistantAgent(
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"coding_assistant", model_client=OpenAIChatCompletionClient(model="gpt-4o-2024-05-13", api_key="")
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)
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team = RoundRobinGroupChat(participants=[coding_assistant_agent, code_executor_agent])
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result = await team.run("Write a program that prints 'Hello, world!'")
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assert result.result == "TERMINATE"
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