Choose CrewAI in Guided Connection
Clyvel includes a CrewAI connection path that prepares the gateway endpoint, workload credential and test sequence for supported model traffic.
All integrations
CREWAI INTEGRATION
CrewAI Monitoring, Agent Cost Visibility and LLM Gateway Integration
Multi-agent workflows can turn one business task into many model requests. That makes request count, model mix and spend difficult to reason about from the final output alone. Routing supported CrewAI model traffic through Clyvel makes the model request layer visible without replacing the agent framework.
WHEN THIS FITS
A practical production use case.
CrewAI workflows where several agents can generate model traffic for one task.
Teams that need request-level cost and provider evidence around agent execution.
Operators who want reliability signals shared across agents, automations and normal applications.
CONNECTION PATH
Connect the model request layer, then verify evidence.
Configure the model request layer
Point the compatible model client used by the CrewAI workflow at Clyvel while leaving the agent roles, tasks and orchestration in CrewAI.
Run one task and inspect the resulting requests
Use a controlled agent run to verify that request status, provider, model, latency, tokens and estimated cost appear before expanding the connection to more workloads.
01
Request-level visibility beneath multi-agent execution.
02
A clearer picture of which agent traffic drives tokens and spend.
03
Shared model-provider reliability evidence across agent frameworks.
FAQ
Integration questions.
Does Clyvel replace CrewAI?
No. CrewAI remains the agent framework and orchestration layer. Clyvel focuses on supported model traffic routed through the Gateway and the operational evidence produced by those requests.
Can Clyvel help understand CrewAI cost?
When supported model requests are routed through Clyvel, request-level token and estimated cost evidence can help show how the AI traffic behind an agent workflow contributes to spend.
NEXT STEP
Connect one workload before expanding the rollout.
Start with a controlled request, confirm that operational evidence is trustworthy, and only then move more production traffic or add routing and reliability policy.