Respan
Route, monitor, and evaluate every agent run.
Respan is an AI observability and gateway platform that routes all large language model (LLM) calls through a single API endpoint. It solves the problem of managing, debugging, and improving AI agent behavior in production by providing visibility into every step of an agent run, from model routing to final output.
The platform combines a gateway with observability and evaluation tools. Its gateway reaches over 1,000 models across major providers and includes automatic fallbacks, response caching, and spend limits. The observability side offers tracing that captures every LLM call, tool run, retrieval, and agent turn as a span, along with a monitoring dashboard for requests, errors, cost, latency, and tokens. The evaluation module lets teams score outputs using LLM judges, deterministic checks, or human reviewers, and deploy those evaluators on live production traffic. Alerts can be sent to Slack, email, or webhooks.
Respan is built for engineering teams shipping AI agents in production. It offers a free plan with 100k logs, 1k scores, 5 datasets, 2 evaluators, and 5 prompts. The Team plan is priced per month and includes unlimited datasets, evaluators, and prompts, plus a private Slack channel and SOC 2 report. Enterprise plans offer custom packages, volume discounts, custom SLAs, dedicated support, and HIPAA compliance. Additional logs and scores are available as add-ons.
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