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Clyvel

© 2026 Clyvel

Operate

AI GatewayRoute and control every model request.ObservabilitySee every request, token, error and latency signal.ReliabilityIncidents, provider health, latency and failures.

Analyze

Costs & FinOpsUnderstand spend, budgets and cost allocation.OptimizationFind measurable savings across models and routing.

Control

GovernancePolicies, roles, approvals and audit controls.Clyvel AIAsk what changed, why it happened and what to do next.

One platform for production AI operations.

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EngineeringDebug production AI traffic from one operational layer.Platform teamsStandardize routing, providers and reliability controls.FinOps & FinanceControl AI spend, budgets and optimization outcomes.Security & GovernanceApply access, policy and audit controls at scale.
Pricing
All integrations

N8N INTEGRATION

n8n OpenAI Monitoring, Cost Visibility and AI Gateway Integration

Automation workflows can create many model calls without making their operational cost or failure pattern obvious. Connecting n8n model traffic through Clyvel gives the workflow a shared production layer where requests can be attributed, inspected and compared across models and providers.

Start with Clyvel Explore the AI Gateway

WHEN THIS FITS

A practical production use case.

n8n workflows that call OpenAI-compatible model endpoints from production automations.

Teams that need to understand which workflow is driving tokens, latency or AI spend.

Operators who want model failures visible outside individual n8n execution logs.

CONNECTION PATH

Connect the model request layer, then verify evidence.

01

Choose n8n in Guided Connection

Clyvel includes an n8n connection path that walks through the gateway URL, workload credential and test request without placing provider secrets into the chat history.

02

Route the AI request through Clyvel

Configure the relevant OpenAI-compatible request in n8n to use the Clyvel Gateway endpoint and the Clyvel key assigned to the workload.

03

Run the workflow and confirm the request

Execute the workflow once and verify that Clyvel captured the request before expanding the integration to additional automations.

OPERATIONAL OUTCOMES

What changes once traffic is visible.

Read the LLM observability guides
01

See AI request activity outside isolated workflow executions.

02

Attribute token and estimated provider cost to production automation traffic.

03

Investigate model errors and latency with the same operational context used by other AI applications.

FAQ

Integration questions.

Can Clyvel monitor AI requests created by n8n workflows?

Yes when the workflow routes its supported model request through the Clyvel Gateway. The request can then appear with operational telemetry such as model, provider, latency, status, tokens and cost evidence.

Does Clyvel replace n8n execution history?

No. n8n remains the workflow runtime. Clyvel focuses on the AI request layer so model traffic can be observed and controlled consistently alongside other applications.

n8n documentation

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.

Open Quickstart View pricing