Product

LiteLLM integration: enforce policy where your model traffic already flows

Nolan Sullivan

August 13, 2026 · 1 min read

For many organizations, LiteLLM is the front door for model traffic: one proxy routing requests to OpenAI, Anthropic, and other providers. Today we’re releasing a LiteLLM integration that makes the AI Control Plane the enforcement point for that traffic.

• Policies are enforced before inference. LiteLLM calls the platform ahead of each model request through its Generic Guardrail API, so a prompt that violates policy, like one carrying a leaked credential, is blocked at the proxy before a provider sees it or bills for it. Responses are captured into the same session for asynchronous risk analysis.
• Usage lands in Observe and Costs. A metadata-only OpenTelemetry export carries model, tokens, cost, and duration. No prompt content travels on the telemetry path.
• Every call is attributed. Virtual-key emails are matched against organization members, so enforcement, findings, and spend attach to a person rather than a shared key.

Setup is a handful of environment variables and a guardrail config fragment, with no custom callback code. LiteLLM keeps model selection, provider credentials, retries, and budgets; the platform never becomes the model proxy. Each instance also declares its failure posture, fail closed or fail open, when the platform can’t be reached.

The integration is available to organizations with push integrations enabled. See the LiteLLM integration docs to get set up.