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Use this resource to add Arize AX tracing to an LLM application and verify that traces arrive
New
Free
In a terminal, from the folder you want:
npx --yes palatekit@latest install arize-tracing-instrumentationWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent adds Arize AX tracing to an application for the first time: it analyses the stack, picks the single matching integration doc, enables auto-instrumentation after confirmation and checks that a trace lands. It routes on the agent framework rather than on the provider SDK alone.
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Updated November 2, 2026
You say
“Add Arize tracing to my LangChain application in Python and check that a trace appears.”

Skill published by arize-ai under the MIT license, delivered in its original version.
Listed unmodified
« arize-instrumentation » (arize-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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