代理设计基础

from agents import Agent

weather_agent = Agent(
    name="Weather agent",
    instructions="You are a helpful agent who can talk to users about the weather.",
    tools=[get_weather],
)

from agents import Agent, WebSearchTool, function_tool
from datetime import datetime

@function_tool
def save_results(output):
    db.insert({"output": output, "timestamp": datetime.now()})
    return "File saved"

search_agent = Agent(
    name="Search agent",
    instructions="Help the user search the internet and save results if asked.",
    tools=[WebSearchTool(), save_results],
)

你是一名编写 LLM 代理指令的专家。
请将以下帮助中心文档转换为一组清晰的指令，并以编号列表形式呈现。
该文档将作为 LLM 遵循的政策。
确保指令没有歧义，并以代理执行的方向进行编写。
待转换的帮助中心文档如下：{{help_center_doc}}

Agents.run(agent, [UserMessage( )]) "What's the capital of the USA?"

"""
你是一名呼叫中心客服专员。你正在与 {{user_first_name}} 交流，对方已成为会员 {{user_tenure}}。
用户最常见的投诉类别包括：{{user_complaint_categories}}。
请先向用户问好，感谢他们一直以来的忠诚支持，并耐心解答用户的所有问题！
"""

from agents import Agent, Runner

manager_agent = Agent(
    name="manager_agent",
    instructions=(
        "You are a translation agent. You use the tools given to you to translate."
        " If asked for multiple translations, you call the relevant tools."
    ),
    tools=[
        spanish_agent.as_tool(
            tool_name="translate_to_spanish",
            tool_description="Translate the user's message to Spanish",
        ),
        french_agent.as_tool(
            tool_name="translate_to_french",
            tool_description="Translate the user's message to French",
        ),
        italian_agent.as_tool(
            tool_name="translate_to_italian",
            tool_description="Translate the user's message to Italian",
        ),
    ],
)

async def main():
    msg = input("Translate 'hello' to Spanish, French and Italian for me!")

    orchestrator_output = await Runner.run(
        manager_agent, msg
    )

    for message in orchestrator_output.new_messages:
        print(f" - Translation step: {message.content}")

from agents import Agent, Runner

# 专业技术支持代理
technical_support_agent = Agent(
    name="Technical Support Agent",
    instructions=(
        "You provide expert assistance with resolving technical issues, "
        "system outages, or product troubleshooting."
    ),
    tools=[search_knowledge_base],
)

# 销售助理代理
sales_assistant_agent = Agent(
    name="Sales Assistant Agent",
    instructions=(
        "You help enterprise clients browse the product catalog, recommend "
        "suitable solutions, and facilitate purchase transactions."
    ),
    tools=[initiate_purchase_order],
)

# 订单管理代理
order_management_agent = Agent(
    name="Order Management Agent",
    instructions=(
        "You assist clients with inquiries regarding order tracking, "
        "delivery schedules, and processing returns or refunds."
    ),
    tools=[track_order_status, initiate_refund_process],
)

# 分流代理，负责初步判断并分派给合适的专属代理
triage_agent = Agent(
    name="Triage Agent",
    instructions=(
        "You act as the first point of contact, assessing customer queries "
        "and directing them promptly to the correct specialized agent."
    ),
    handoffs=[technical_support_agent, sales_assistant_agent, order_management_agent],
)

# 运行分流代理，处理用户输入
await Runner.run(
    triage_agent,
    "Could you please provide an update on the delivery timeline for our recent purchase?"
)