Overview / Description
Respan Gateway is an AI gateway and LLM observability tool that routes application traffic to 500+ AI models through a single endpoint for development teams running models in production. Instead of integrating each provider's API separately, you send requests to one endpoint and Respan handles routing, automatic failover when a model errors or hits rate limits, and response caching to cut repeated calls and latency. It pairs the gateway with cost controls (per-API-key spend limits with soft warnings and hard caps, plus Slack and email alerts) and observability, turning each call into a trace tree with latency on every span and metadata you can filter on. Gateway, tracing, evals, prompt management, monitors, and spend controls live on one platform, so teams debugging production AI do not have to stitch together separate tools. Respan works with OpenAI-style unified routing or native SDK passthrough and supports frameworks including LangChain, LlamaIndex, and Vercel AI, alongside providers such as OpenAI, Anthropic, Groq, and Together AI. It is ISO 27001, SOC 2, GDPR, and HIPAA compliant with a BAA available, which matters for teams in regulated industries.
Used For
Routing app traffic to many AI models through one endpoint with observability and cost controls
Pricing
Pros & Cons
Pros
- One endpoint reaches 500+ models with automatic failover when a model errors or rate-limits
- Per-API-key spend limits with soft warnings, hard caps, and Slack/email alerts
- Every call becomes a trace tree with latency on each span for production debugging
- Response caching reduces repeated provider calls and latency
- ISO 27001, SOC 2, GDPR, and HIPAA compliant with BAA available
Cons
- Built for development teams; not aimed at non-technical users
- Adds a routing layer your traffic depends on
- No public pricing listed on the gateway page
Questions & Answers
Alternatives
OpenRouter, Portkey, Helicone, LiteLLM