Building AI apps? You're stuck tracking what happens inside them. Respan handles that—observability plus prompt management plus evaluations plus an AI gateway. All in one spot.
Observability tracks costs and usage. Goes down to individual requests. Agent tracing? It shows what your AI does step by step. You get error monitoring. Alerts fire when things break. Full-text search works through logs. Custom dashboards exist if defaults aren't enough. Product managers trying to figure out why users complain about response quality don't need three different tools anymore.
Prompt management runs in a collaborative IDE. Version control included. One-click deployment too. Test changes in staging before production. The model playground lets you experiment—500+ models available through one unified endpoint. Jinja templates help when you're building complex prompts. Release management means you know which prompt version is live.
Evaluations use LLM-as-judge setups. Annotation queues are built in. Run experiments to compare prompt variations. The free plan? 100k logs and 1k scores. Pretty generous for small projects. Scale past that and additional logs run $8 per 100k.
Respan supports OpenTelemetry. Handles multi-modal inputs (images and voice). The key vault lets you bring your own API keys. Request caching cuts redundant calls. Teams shipping AI features fast can consolidate what they'd otherwise cobble together from monitoring services and internal tools.
