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Tracing and evaluating LLM applications with LangSmith v1.0.0

Use this resource to trace LLM calls and evaluate their outputs against datasets

New

  • 314 downloads
  • 217 likes
  • 140 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install langsmith-llm-tracing-evaluation

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 guides you through setting LangSmith environment variables, instrumenting your functions with the tracing decorator and automatically recording OpenAI calls. You get traces to debug, evaluate and monitor your application.

Mostly picked by

Updated November 2, 2026

Card for the “Tracing and evaluating LLM applications with LangSmith” skill

Details

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

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What you get

  • SKILL.md: configuration, tracing decorator and OpenAI wrapper
  • references/advanced-usage.md and troubleshooting.md: advanced usage and troubleshooting

Good fit for

  • You want to see every step of an agent that fails
  • You set up regression tests for an LLM feature

Not for

    Tags

    • traces
    • evaluation
    • langsmith
    • observability

    About

    You say

    “Trace my OpenAI calls with LangSmith and evaluate the answers on my test set.”

    Card for the “Tracing and evaluating LLM applications with LangSmith” skill

    Skill published by Orchestra Research 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 trace LLM calls and evaluate their outputs against datasets
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/advanced-usage.md12.3 KB
    • references/troubleshooting.md11.3 KB
    • SKILL.md9.9 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/17-observability/langsmith
    Licence
    MIT

    Notice

    « langsmith-observability » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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