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Tracing and evaluating an LLM app with Langfuse v1.0.0

Use this resource to instrument an LLM application with Langfuse to trace and evaluate it

New

  • 596 downloads
  • 196 likes
  • 111 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-observability-tracing

With 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 login

The agent adds tracing to an existing application, masks sensitive data and sets up prompt management and evaluation datasets. It does not recommend observability without a clear need. You get traces that help debug and improve the system in production.

Mostly picked by

Updated November 2, 2026

Card for the “Tracing and evaluating an LLM app with Langfuse” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

Similar resources

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What you get

  • SKILL.md: prerequisites, procedure and a Python observation example
  • SKILL.md: data masking rules, prompt management and evaluations

Good fit for

  • Your LLM calls in production are hard to debug
  • You want to version prompts and evaluate them on a dataset

Not for

    Tags

    • langfuse
    • llm
    • tracing
    • evaluation
    • observability

    About

    You say

    “Add Langfuse tracing to our LangChain chatbot, masking personal data.”

    Card for the “Tracing and evaluating an LLM app with Langfuse” skill

    Skill published by sickn33 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to instrument an LLM application with Langfuse to trace and evaluate it
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.7 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/langfuse
    Licence
    MIT

    Notice

    « langfuse » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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