team

创建一个team

from utils import new_openai_model

from agno.agent import Agent
from agno.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools

def test():
    researcher = Agent(
        name="研究员",
        role="研究员",
        tools=[DuckDuckGoTools()],
        model=new_openai_model("gpt-4o-mini"),
    )

    writer = Agent(
        name="作家",
        role="作家",
        model=new_openai_model("gpt-4o-mini"),
    )

    team = Team(
        name="团队",
        mode="coordinate",
        members=[researcher, writer],
        instructions="你是一个由研究员和作家组成的队伍, 负责生产高质量的博客文章",
        model=new_openai_model("gpt-4o-mini"),
        markdown=True,
    )

    # 使用stream=True会报错, 输出不了
    # False也会报错, 但是不影响输出
    team.print_response("请生成一篇关于AI的文章")
    # response_stream = team.run(
    #     "请生成一篇关于AI的文章", stream=True, stream_intermediate_steps=True
    # )

    # for event in response_stream:
    #     if event.event == "TeamRunResponseContent":
    #         print(f"Content: {event.content}")
    #     elif event.event == "TeamToolCallStarted":
    #         print(f"Tool call started: {event.tool}")
    #     elif event.event == "ToolCallStarted":
    #         print(f"Member tool call started: {event.tool}")
    #     elif event.event == "ToolCallCompleted":
    #         print(f"Member tool call completed: {event.tool}")
    #     elif event.event == "TeamReasoningStep":
    #         print(f"Reasoning step: {event.content}")

team的模式

route

由领导者决定下一个应该是结束还是哪一个agent.

Coordinate

领导者分析并将其分解成子任务, 将特定任务交给合适的agent. 最后整合答案, 形成最终结果.

可以定义成功标准success_criteria, 是一个字符串.

Collaborate

所有成员都处理信息, 领导者审查输出并并整合成最终结果.

同样可以定义成功标准.

结构化输出

class CompanyAnalysis(BaseModel):
    company_name: str
    analysis: str

team = Team(
    # ...
    response_model=CompanyAnalysis,
)

team的状态

• team_session_state 所有成员都可以访问的状态
• session_state 只有领导者才可以访问的状态
• session_state 这是agent的私有状态

team = Team(
    members=[agent1, agent2, agent3],
    team_session_state={"shopping_list": []},
)

在tool中, 可以通过访问agent.team_session_state来访问.

def add_item(agent: Agent, item: str) -> str:
    """
    ...
    """
    agent.team_session_state["shopping_list"].append(item)
    return f"add {item} successfully"

• enable_agentic_context=True 让领导者可以维护上下文
• share_member_interactions=True 共享成员之间的交互