Respan

Respan is an LLM engineering and AI observability platform that routes and manages calls to 500+ models through a single gateway while tracing every request, logging spans, metrics, and evaluator scores; it uses AI directly for automated evaluations (LLM judges), rule checks, and human-in-the-loop workflows run on sampled production traffic to score faithfulness, schema conformity, relevance, and more. The platform centralizes monitoring, alerts, and cost controls, provides fallbacks, retries, and caching to keep agents up, and lets teams promote prompts, models, and workflows with versioning and rollout logic. Teams use Respan to debug agent behavior faster, catch regressions on real production traces, continuously improve prompt/model quality, and simplify multi-provider LLM operations so they can ship reliable AI features at scale.