OpenAI’s Swarm provides a framework for orchestrating multi-agent systems. Below is an example of how you can use the framework to create agents that perform specific tasks.
from swarm import Swarm, Agent
client = Swarm()
def transfer_to_agent_b():
return agent_b
agent_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"])Explanation:
- Swarm Client: Initializes the Swarm system.
- Agent A: Acts as a helpful agent, but transfers control to Agent B.
- Agent B: A creative agent that only responds in Haiku format.
- Execution: The user talks to Agent A, which passes the task to Agent B.
This structure allows for multi-agent collaboration, where agents can shift tasks among each other dynamically. For more details, visit the Swarm GitHub page.
