Respan
LLM observability, evaluation, and gatewayTrace, evaluate, and ship LLM apps from one place
Highlights
What you can do with it
- Retell AI scaled from 5 million to 500 million API calls per month and debugged production issues faster
- Mem0 scaled to trillions of tokens with real time observability keeping the system stable
- AlphaSense treats each LLM call like jumping straight to the relevant logs for debugging
How to use it
- 1 Start the free trial or book a demo on the Respan site
- 2 Use tracing to capture agent runs, prompts, tool calls, and responses
- 3 Build an evaluation workflow with code, manual, and LLM checks
- 4 Promote prompts, models, and workflows to production through the gateway
Who it is for
Pros
- One place for tracing, evaluation, and release
- Version control reduces silent regressions when prompts change
- A single gateway simplifies deployment and routing
Limitations
- A free trial is offered, then paid plans apply
- The platform targets teams with real production traffic, so small projects may not need it
- The customer results quoted are the vendor's accounts, not independent benchmarks
What Respan is
Respan is an LLM engineering platform that pulls four jobs into one place: observability, evaluation, prompt optimisation, and a unified LLM gateway. The tracing layer records what each agent does, capturing every prompt, tool call, and response along with context from real production traffic, so you can search, filter, and sort instead of guessing. Evaluation is treated as a process rather than a one off, combining manual review, code checks, and LLM judgement in a single workflow. Optimisation runs iteratively over prompts, tools, and routing, with version control on every change so you can compare versions and roll back. Deployment happens through one gateway, and monitoring dashboards watch production in real time.
What you can do with it
- Trace an agent run end to end, including prompts, tool calls, and responses.
- Build an evaluation workflow that mixes manual, code, and LLM based checks.
- Iterate on prompts, tools, and routing with version control on every change.
- Promote prompts, models, and workflows to production from the interface.
Who it is for
- Engineers building and debugging LLM features in production.
- Product teams that need to measure and improve output quality.
- Founders running products with large API call volumes.
- Teams that want one control plane for prompts, models, and routing.
What to watch out for
A free trial is offered, but continued use needs a paid plan, and the pricing structure is not detailed on the page, so ask for it during the demo. The platform is aimed at teams with genuine production traffic, and a small side project may not generate enough value to justify the setup and the instrumentation work. Connecting your stack takes real effort, and the quality of what you see depends on what you send. The customer stories quoted on the site are the vendor's own accounts rather than independent measurements, so treat the scaling numbers as examples of what customers report, not as a guarantee of what you will get.
FAQ
What does Respan do?
It combines observability, evaluation, prompt optimisation, and a unified LLM gateway for teams building AI applications.
Is there a free trial?
Yes. The site offers a free start option and a demo request.
Which teams use it?
The site cites Retell AI, Mem0, and AlphaSense, covering high call volumes and debugging workflows.
Why it is free
What the official page says: free trial
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.