Respan LLM Gateway: Routing, Observability & Evals

Respan is the AI router with built-in observability and automated evals, built for teams running AI agents and LLM apps in production. Its LLM gateway gives you one OpenAI-compatible API for 1,000+ models across every major provider, and switching models is a one-word change.

Set a fallback chain once, at the org level or per request, and Respan moves to the next model the moment a provider errors or rate-limits. Failed requests retry automatically, traffic can be load-balanced across providers, and exact repeat requests are served from cache. Hard spend limits per key, per customer, or org-wide stop spend at the ceiling instead of only warning, and costs break down by model, request, and end customer.

Observability and evals live inside the router rather than in a second tool. Every request is logged as a span with latency and cost attached, evals score output on test sets before shipping and on live production traffic after, and clicking any score lands on the trace behind it. Prompts are versioned and deployed without a code change.