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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

OPENAI SDK INTEGRATION

OpenAI SDK Gateway Integration for Production AI

Clyvel is designed to preserve the OpenAI-compatible request pattern while moving production traffic through one operational layer. Teams can keep a familiar client interface while gaining request-level telemetry, cost attribution, routing context and provider isolation around the model call.

Start with Clyvel Explore the AI Gateway

WHEN THIS FITS

A practical production use case.

Teams already using an OpenAI-compatible client and wanting a controlled production request path.

Applications that need model, token, latency, status and estimated cost evidence per request.

Organizations that want provider credentials separated from application-facing gateway credentials.

CONNECTION PATH

Connect the model request layer, then verify evidence.

01

Point the client at the Clyvel Gateway

Use the Clyvel Gateway base URL instead of calling the provider endpoint directly. Keep the application-facing request shape compatible with the SDK behavior your workload depends on.

02

Use a Clyvel workload credential

Authenticate the application to Clyvel with the scoped key created for that workspace or workload. Provider credentials remain managed behind the operational layer.

03

Send one real request and verify telemetry

Confirm model, provider, status, latency, token usage and cost evidence in Requests and Overview before moving additional production traffic.

OPERATIONAL OUTCOMES

What changes once traffic is visible.

Read the LLM observability guides
01

One observable request path for OpenAI-compatible traffic.

02

Request-level latency, tokens, status and cost evidence.

03

A clean migration path toward routing, reliability and governance controls.

FAQ

Integration questions.

Do I need to rewrite my OpenAI client to use Clyvel?

The integration is designed around an OpenAI-compatible request path, so the main application change is typically the gateway base URL and credential strategy. Validate the exact endpoints and streaming behavior your workload uses before migrating production traffic.

Does Clyvel replace my model provider account?

No. Your provider account remains separate. Clyvel becomes the operational request layer used to route, observe and control production model traffic.

OpenAI API 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