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Introducing AgentLens: Open-Source Observability for AI Agents

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Transforming AI Debugging with AgentLens

Are you tired of the challenges that come with debugging multi-agent systems? Meet AgentLens, your self-hosted observability platform designed specifically for AI agents! With our tool, you can finally streamline your debugging process and enhance your agent’s performance.

Key Features Include:

  • Interactive Topology Graph: Visualize tool calls, LLM calls, and sub-agent activities in an easy-to-navigate directed acyclic graph (DAG).
  • Time-Travel Replay: Step through agent runs frame-by-frame, allowing for detailed inspections.
  • Trace Comparison: Analyze two runs side-by-side with color-coded matching for immediate insights.
  • Cost Tracking: Monitor expenses across 27 models including GPT-4.1 and others.
  • Real-Time Live Streaming: Watch spans emerge live via Server-Sent Events (SSE).
  • Alerting Mechanisms: Get notified of anomalies to keep performance in check.

🔗 Explore AgentLens on GitHub! and let us know how we can make debugging even better for you.

👉 Share your thoughts and feedback on the trace visualization approach!

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