Phoenix Tracing
arize-ai/phoenixPhoenix tracing helps you see what your AI applications are doing. It uses OpenInference to track every step of a large language model call. This makes it easier to find problems and improve performance.
You can set up tracing in Python or TypeScript. The guide covers installation, automatic and manual tracing, and different span types like LLM calls, chains, and agents. You can also add custom metadata and deploy to production.
Whether you are debugging a chatbot or monitoring a production system, Phoenix tracing gives you clear visibility. It helps you understand how your AI app behaves and where it can be improved.
Add Phoenix Tracing skill to your workflow
Global
mkdir -p ~/.claude/skills/phoenix-tracingProject
mkdir -p .claude/skills/phoenix-tracingSource Repository
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