CrewAI

A CrewAI crew runs on Rebuno with two seams. Model calls go through a Rebuno-aware gateway, which records each one as an llm_call step, and tools are declared with @tool, so every tool call is recorded as a tool_call step. On a re-dispatch the agent runs from the top and recorded steps replay instead of calling the model or the tool again.

Install

pip install rebuno crewai

Model calls

CrewAI builds its own HTTP client, so http_client() can’t be passed in. Instead, point the model’s base_url at a gateway that implements the LLM call contract, and forward the dispatch in headers so the gateway can record the call under it:

import os

from crewai import LLM
from rebuno import execution

ctx = execution()
llm = LLM(
    model="openai/gpt-5.5",
    base_url=os.environ["GATEWAY_URL"],
    api_key=os.environ["GATEWAY_KEY"],
    extra_headers={
        "rebuno-execution-id": ctx.id,
        "rebuno-dispatch-id": ctx.dispatch_id,
        "rebuno-dispatch-attempt": str(ctx.dispatch_attempt),
        "rebuno-agent-id": ctx.agent_id,
        "rebuno-agent-secret": os.environ["REBUNO_AGENT_SECRET"],
    },
)

execution() reads the current dispatch, so build the LLM inside the handler. examples/gateway/litellm_proxy.py is a LiteLLM proxy callback that implements the gateway.

Tools

Apply CrewAI’s tool decorator over Rebuno’s @tool. Rebuno’s wrapper keeps the function’s signature and docstring, so CrewAI builds the tool schema from it as usual:

from crewai.tools import tool as crewai_tool
from rebuno import tool


@crewai_tool("lookup_orders")
@tool("lookup_orders", idempotency="safe_to_retry")
async def lookup_orders(customer_id: str) -> dict:
    """Look up a customer's recent orders."""
    ...


@crewai_tool("send_email")
@tool("send_email", idempotency="at_most_once")
async def send_email(body: str) -> dict:
    """Email the support summary."""
    ...

Mark anything with a side effect, such as sending an email or creating a ticket, at_most_once. See idempotency.

The agent

CrewAI’s Agent and Rebuno’s Agent share a name, so import one under an alias:

from crewai import Agent as CrewAgent
from crewai import Crew, Task
from rebuno import Agent


async def process(query: str) -> dict:
    llm = ...  # the gateway LLM above
    specialist = CrewAgent(
        role="support specialist",
        goal=query,
        backstory="You investigate customer issues and email support summaries.",
        llm=llm,
        tools=[lookup_orders, send_email],
    )
    task = Task(description=query, expected_output="a short brief", agent=specialist)
    result = await Crew(agents=[specialist], tasks=[task]).kickoff_async()
    return {"answer": str(result)}


agent = Agent("support")

if __name__ == "__main__":
    agent.run(process)

What Rebuno adds

Policy. Every model and tool call is checked against policy before it runs. A denied tool returns the rule’s reason to the model as the tool result, so the agent can take a different path.
Approvals. A tool that requires approval parks the execution. Once it’s approved, the agent is dispatched again, the earlier steps replay, and the approved call runs.
Recovery. If the worker dies partway through, the next dispatch replays every completed step and continues from the first one that didn’t finish. Model calls that already ran are not paid for twice.

Full example

examples/frameworks/python/crewai_agent.py is a support agent that investigates a customer issue, creates a ticket, and emails a summary after approval.

Get started

Writing agents

Frameworks

Reference

Install

Model calls

Tools

The agent

What Rebuno adds

Full example

​Install

​Model calls

​Tools

​The agent

​What Rebuno adds

​Full example

Install

Model calls

Tools

The agent

What Rebuno adds

Full example