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JevMade field notes / Pass-through integration

TypeSafe AI (Jev)

LiteLLM’s pass-through guide keeps TypeSafe’s evaluate API and response shape intact while centralizing credentials, cost tracking, and model routing in a LiteLLM proxy.

Original by LiteLLMIntegrationsOfficial documentationSource reviewed

Before you dive in

What you’ll find in the original

  1. Call /typesafe/v1/systemone rather than /chat/completions because Jev returns typed decisions instead of generated text.
  2. Store the TypeSafe key in the proxy environment; clients authenticate with a LiteLLM virtual key and receive TypeSafe’s response unchanged.
  3. LiteLLM logs spend from response token usage and the model registry, but the pass-through does not support streaming or end-user tracking.
Worth knowing

This page documents a pass-through, not a translation into LiteLLM chat completions; model aliases and accounting depend on current registry configuration.

More guides →See the experiments →