We instrumented an AI agent swarm with SigNoz, and its own telemetry told us we were wrong about almost everything

Description and use

We instrumented an AI agent swarm with SigNoz to surface its own telemetry, revealing hidden assumptions and enabling rapid iteration on AI features, RAG pipelines, or agent workflows without building a model stack from scratch. The project is best suited for prototyping or internal tools; before moving to production you should manually inspect the code, verify licensing, maintenance activity, documentation, and release cadence, and perform dependency checks. While useful for experimentation, its medium production readiness means additional validation‑required for broader deployment.

Use in a workflow

We instrumented an AI agent swarm with SigNoz, and its own telemetry told us we were wrong about almost everything helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.