Select LangGraph in Guided Connection
Clyvel recognizes LangGraph as a guided integration path and provides the gateway connection sequence for the supported request layer.
All integrations
LANGGRAPH INTEGRATION
LangGraph Agent Monitoring, LLM Cost and Gateway Integration
Graph-based agents can generate multiple model calls while moving through nodes, retries and tool decisions. Clyvel provides a production request layer for supported model traffic so teams can see the provider, model, latency, token usage, status and estimated cost behind those executions.
WHEN THIS FITS
A practical production use case.
LangGraph agents with multiple model calls or long-running execution paths.
Teams investigating which model requests drive latency or cost inside an agent run.
Production environments that need one provider-control layer across several agent frameworks.
CONNECTION PATH
Connect the model request layer, then verify evidence.
Route the graph's supported model client through Clyvel
Keep the graph architecture intact while configuring the model request to use the Clyvel Gateway and workload credential.
Test one graph execution
Run the graph and verify the resulting model request evidence in Clyvel. Use that evidence to separate model-provider behavior from graph orchestration behavior during investigations.
01
Visibility into model traffic generated by graph-based agent runs.
02
Cost and latency evidence for individual AI requests inside larger workflows.
03
A common operational layer across LangGraph and other production applications.
FAQ
Integration questions.
Can Clyvel see every LangGraph node?
Clyvel focuses on supported model requests routed through its Gateway. It is not a replacement for graph-level execution tracing, so non-model node state remains the responsibility of the application or LangGraph tooling.
Why use both LangGraph tracing and an AI gateway?
They answer different questions. Graph tracing explains orchestration. The gateway explains the production model request path, provider, tokens, cost, latency, failures and operational controls shared across applications.
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.