file:/Users/puzzle/PycharmProjects/ai-manage/AutoGenV04Test/BasicTest/6_RunTeamDeepSeek.py

[y26s4824k264]

What happened?

/Users/puzzle/PycharmProjects/ai-manage/.venv/bin/python /Users/puzzle/PycharmProjects/ai-manage/AutoGenV04Test/BasicTest/6_RunTeamDeepSeek.py
---------- user ----------
写一首关于秋季的短诗
---------- primary ----------
《秋日手记》

枫叶在晨光中舒展锈色
风的手指蘸取露水
给每根草茎镀上银质签名

稻穗垂首
大地正在称量金属的叹息
候鸟剪开云层时
天空的伤口渗出琥珀

所有等待都蜷成种籽
在年轮深处
刻下尚未愈合的纹路
/Users/puzzle/PycharmProjects/ai-manage/.venv/lib/python3.11/site-packages/autogen_ext/models/openai/_openai_client.py:855: UserWarning: Could not find .. field in model response content. No thought was extracted.
thought, content = parse_r1_content(content)

Which packages was the bug in?

Python AgentChat (autogen-agentchat>=0.4.0)

AutoGen library version.

Python 0.4.7

Other library version.

No response

Model used

deepseek-r1

Model provider

DeepSeek (Hosted)

Other model provider

tongyi qwen

Python version

3.11

.NET version

None

Operating system

MacOS

[y26s4824k264]

import os
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.conditions import MaxMessageTermination, TextMentionTermination
from autogen_agentchat.teams import RoundRobinGroupChat
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_agentchat.ui import Console
from autogen_core.models import UserMessage, ModelFamily

os.environ["OPENAI_BASE_URL"] = "https://dashscope.aliyuncs.com/compatible-mode/v1"
os.environ["OPENAI_API_KEY"] = ""

定义LLM

model_client = OpenAIChatCompletionClient(
model="deepseek-r1",
model_info={
"function_calling": False,
"json_output": False,
"vision": False,
"family": ModelFamily.R1,
}
)

async def main() -> None:
# 定义Agent
primary_agent = AssistantAgent(
name="primary",
model_client=model_client,
system_message="你是一个乐于助人的AI智能助手。",
model_client_stream=True
)

# 定义Agent
critic_agent = AssistantAgent(
    name="critic",
    model_client=model_client,
    system_message="提供建设性反馈意见。记住只有当你的反馈意见得到处理后再允许回复 “南哥AGI研习社”。",
    model_client_stream=True

)

# 定义终止条件  如果提到特定文本则终止对话
text_termination = TextMentionTermination("南哥AGI研习社")
# 定义终止条件，在5条信息后停止任务
max_message_termination = MaxMessageTermination(5)
# 使用`|` 运算符组合终止条件，在满足任一条件时停止任务
termination = text_termination | max_message_termination

# 定义Team Team的类型选择为RoundRobinGroupChat
reflection_team = RoundRobinGroupChat(participants=[primary_agent, critic_agent], termination_condition=termination,
                                      max_turns=None)

# 1、运行team并使用官方提供的Console工具以适当的格式输出
stream = reflection_team.run_stream(task="写一首关于秋季的短诗")
await Console(stream)

# # 2、运行team并使用流式输出,自己处理消息并将其流到前端
# async for message in reflection_team.run_stream(task="写一首关于秋季的短诗"):
#     print(message)

if name == 'main':
# 运行main
asyncio.run(main())

my code

[ekzhu]

Looks like it's working as expected. What's the bug? The output doesn't contain so there is a warning