Observe, evaluate, and improve the AI you ship
Trace every LLM call in production, catch regressions with evals before your users do, and ship prompt changes without a redeploy. When something breaks, ask Vera.
Core capabilities
Observe what you ship, evaluate every change, and let Vera dig into what breaks.
Observability
Every call your app makes to an LLM, captured. Open any trace to see the exact input, output, latency, and what it cost — and for agents, the whole tool-calling tree.
- Agent runs captured as nested span trees — LLM calls, tool executions, and retrievals, typed and linked
- Group multi-turn conversations into sessions; inspect end-to-end latency and turn count
- Inspect the input, output, and error behind any response; attribute spend to a prompt, model, or customer
- Recurring failures grouped into patterns, so you fix the cause once
- Filter by model, status, latency, or eval result — OpenInference/OTel-native ingestion
The whole toolkit
Observability, evaluations, and prompt delivery — with the governance to ship safely.
Execution traces
Every request captured with its input, output, timing, and error — searchable and filterable.
Agent span trees & sessions
Agent runs as nested, typed spans — LLM calls, tool executions, retrievals — grouped into sessions. OpenInference/OTel-native.
Cost & token attribution
See what each prompt, model, and customer actually costs you.
Failure clustering
Errors and failed evals grouped into patterns you can triage in one pass.
Built for teams at scale
Enterprise-grade security, compliance, and collaboration features for organisations of any size.
Ship AI you can trust
Start building better prompts today — free forever, no credit card required.