Skip to content

Trajectory reliability for AI agents

Your agent changed its route. FlightRules caught it.

Turn SigNoz traces into executable release contracts. Catch skipped checks, duplicate side effects, unknown tool paths, retry loops, and behavioural drift before a canary reaches production.

Open the live demoView the architecture
  • OpenTelemetry-native
  • Powered by SigNoz
  • Deterministic release gates
  • No chain-of-thought required

The answer can stay correct while the agent becomes unsafe.

Output checks see what the agent said. FlightRules sees what it did, which tools ran, which checks disappeared, which side effects repeated, and which downstream services changed.

How it works

  1. 1Observe real runs in SigNoz
  2. 2Approve known-good route families
  3. 3Compile them into a trajectory contract
  4. 4Compare every new release
  5. 5Fail the release with trace-level evidence

View the architecture

  instrumented agent ──▶ SigNoz (OTLP)
                              │
                              ▼
                     SigNoz MCP Server
                              │
                              ▼
       FlightRules ── graph ─ contract ─ evaluator
                              │
                              ▼
                     release gate  ──▶ exit 0 or 2
Illustrative diagram of the FlightRules pipeline. It is not live data; every number in the authenticated product comes from the API.