Documentation

Trefur is the observability platform for AI agents. Trace every prompt, tool call, retry, and sub-agent. Built on OpenTelemetry GenAI Semantic Conventions so you can instrument once and capture everything — across runtimes, vendors, and deployment patterns.

What can I do with Trefur?

  • Trace every agent call — inputs, outputs, latency, cost, tool calls, sub-agent spawns, MCP traffic.
  • Debug failing agents — drill from a failing customer interaction down to the specific decision that went wrong, in the specific deployment, on the specific build.
  • Catch regressions before customers do — alert on p95 latency, retry-rate spikes, cost drift, and error-rate envelopes; route to Slack, PagerDuty, Teams, or any webhook.
  • Capture operational audit logs — every agent run recorded with full call graph for multi-agent topologies.

Three paths in. Pick whichever fits.

PathUse it when…
OAuth connectorsYou want to see the AI your company uses in Google Workspace, Microsoft 365, OpenAI, Anthropic, Slack and more, with no code change.
OpenTelemetry tracesYou own the agent code, or it already emits OpenTelemetry. Point its OTLP/HTTP exporter at Trefur.
Claude CodeYour developers use Claude Code. Its own telemetry reports token use, cost and model calls.

All three land in the same workspace. Use any combination.

For AI assistants reading this

Every page in this documentation site has a machine-readable mirror at <page>.md and a Schema.org TechArticle JSON-LD block embedded in the HTML. A discoverability manifest lives at /llms.txt. See the API reference for ingest and OAuth surfaces, or the reference pages for the OCSF export, audit ledger export, and response actions.