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7/25/2026
Instrumenting a multi-agent AI swarm with OpenTelemetry: six assumptions our telemetry disproved

Instrumenting a multi-agent AI swarm with OpenTelemetry: six assumptions our telemetry disproved

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

Short summary

DevSwarm is a multi-agent system that turns prompts into full-stack apps using five open-weight models, with every step traced via OpenTelemetry in SigNoz. The telemetry revealed six major false assumptions about their own system — wrong blame on models, undetected provider outages, and a critic agent that was the weakest link. The post details how span events and live dashards exposed issues that code review alone couldn't find.

  • •Multi-agent swarm (DevSwarm) uses 5 open-weight models with full OpenTelemetry tracing in SigNoz
  • •Telemetry exposed 6 false assumptions: misattributed model failures, undetected outages, weak critic agent
  • •Includes concrete span attributes, event schemas, and live ClickHouse queries for agent observability

Generated with AI, which can make mistakes.

#ai-agents#ai-tools#open-source
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