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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

MAKE INTEGRATION

Make AI Workflow Monitoring and OpenAI Gateway Integration

Scenario-based automation makes it easy to add AI calls quickly, but production teams still need to know what those calls cost, which provider handled them and where failures or latency originate. Clyvel adds an operational request layer around supported Make model traffic without replacing the automation platform.

Start with Clyvel Explore the AI Gateway

WHEN THIS FITS

A practical production use case.

Make scenarios using supported OpenAI-compatible HTTP or model request patterns.

Teams that want AI spend and failures visible across multiple automations.

Organizations consolidating AI traffic from code and no-code tools into one operational view.

CONNECTION PATH

Connect the model request layer, then verify evidence.

01

Start the Make Guided Connection path

Select Make in Clyvel Guided Connection to receive the gateway endpoint and the sequence for configuring the supported request path.

02

Use the Clyvel Gateway for the model request

Update the relevant HTTP or OpenAI-compatible request so the scenario sends traffic through Clyvel with its scoped workload credential.

03

Run one scenario and verify evidence

Confirm the captured request in Clyvel, including provider, model, status, latency, tokens and estimated cost, before rolling the pattern out more broadly.

OPERATIONAL OUTCOMES

What changes once traffic is visible.

Read the LLM observability guides
01

Central visibility for AI traffic created by automation scenarios.

02

Request-level cost and token evidence instead of invoice-only visibility.

03

Shared reliability context across Make and application code.

FAQ

Integration questions.

Can Make scenarios send AI traffic through Clyvel?

Clyvel includes a Guided Connection path for Make. The supported integration routes the model request through the Clyvel Gateway so operational telemetry can be captured.

Do I have to move the rest of my Make scenario into Clyvel?

No. Make remains responsible for the scenario. Clyvel is used for the production AI request layer around the supported model calls.

Make Help Center

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