毫无疑问，多智能体肯定是 openai 未来重要的研究方向之一，前些天 openai 著名研究科学家 noam brown 还在 x 上为 openai 正在组建的一个新的多智能体研究团队招募机器学习工程师。
pip install git+ssh://git@github.com/openai/swarm.git
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from swarm import Swarm, Agentclient = Swarm()def transfer_to_agent_b():return agent_bagent_a = Agent(name="Agent A",instructions="You are a helpful agent.",functions=[transfer_to_agent_b],)agent_b = Agent(name="Agent B",instructions="Only speak in Haikus.",)response = client.run(agent=agent_a,messages=[{"role": "user", "content": "I want to talk to agent B."}],)print(response.messages[-1]["content"])登录后复制
Hope glimmers brightly,New paths converge gracefully,What can I assist?
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from swarm import Swarmclient = Swarm()
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响应字段
agent = Agent(instructions="You are a helpful agent.")
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def instructions(context_variables):user_name = context_variables["user_name"]return f"Help the user, {user_name}, do whatever they want."agent = Agent(instructions=instructions)response = client.run(agent=agent,messages=[{"role":"user", "content": "Hi!"}],context_variables={"user_name":"John"})print(response.messages[-1]["content"])登录后复制
Hi John, how can I assist you today?
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def greet(context_variables, language):user_name = context_variables["user_name"]greeting = "Hola" if language.lower() == "spanish" else "Hello"print(f"{greeting}, {user_name}!")return "Done"agent = Agent(functions=[print_hello])client.run(agent=agent,messages=[{"role": "user", "content": "Usa greet() por favor."}],context_variables={"user_name": "John"})登录后复制
Hola, John!如果某个 Agent 函数调用出错（缺少函数、参数错误等），则会在聊天之中附加一条报错响应，以便 Agent 恢复正常。如果 Ageny 调用多个函数，则按顺序执行它们。交接和更新上下文变量通过在返回的函数中包含一个 Agent，可将执行过程交接给这个 Agent。sales_agent = Agent(name="Sales Agent")def transfer_to_sales():return sales_agentagent = Agent(functions=[transfer_to_sales])response = client.run(agent, [{"role":"user", "content":"Transfer me to sales."}])print(response.agent.name)登录后复制
Sales Agent
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sales_agent = Agent(name="Sales Agent")def talk_to_sales():print("Hello, World!")return Result(value="Done",agent=sales_agent,context_variables={"department": "sales"})agent = Agent(functions=[talk_to_sales])response = client.run(agent=agent,messages=[{"role": "user", "content": "Transfer me to sales"}],context_variables={"user_name": "John"})print(response.agent.name)print(response.context_variables)登录后复制
Sales Agent{'department': 'sales', 'user_name': 'John'}登录后复制
def greet(name, age: int, location: str = "New York"):"""Greets the user. Make sure to get their name and age before calling.Args:name: Name of the user.age: Age of the user.location: Best place on earth."""print(f"Hello {name}, glad you are {age} in {location}!"){"type": "function","function": {"name": "greet","description": "Greets the user. Make sure to get their name and age before calling.\n\nArgs:\n name: Name of the user.\n age: Age of the user.\n location: Best place on earth.","parameters": {"type": "object","properties": {"name": {"type": "string"},"age": {"type": "integer"},"location": {"type": "string"}},"required": ["name", "age"]}}}登录后复制
stream = client.run(agent, messages, stream=True)for chunk in stream:print(chunk)
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以上就是OpenAI今天Open了一下：开源多智能体框架Swarm的详细内容，更多请关注【创想鸟】其它相关文章！
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