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CAMEL AI

A native CAMEL handler is on the roadmap. The pattern below works with camel-ai >= 0.2.

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Install

pip install fact0 camel-ai

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Pattern

One execution per role-play session, one span per turn. 
import fact0
from camel.societies import RolePlaying

client = fact0.Client(api_key="alk_live_...")

session = RolePlaying(
    assistant_role_name="Engineer",
    user_role_name="Product Manager",
    task_prompt="Design an audit log SDK",
)

with client.telemetry.execution(agent_id="camel.design-session") as ex:
    input_msg = session.init_chat()
    for turn in range(8):
        with ex.span(f"turn-{turn}", span_type="MODEL_INVOCATION") as span:
            assistant_response, user_response = session.step(input_msg)
            span.complete(output={
                "assistant": assistant_response.msg.content[:400],
                "user": user_response.msg.content[:400],
            })
        if assistant_response.terminated:
            break
        input_msg = assistant_response.msg