Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Sign in
Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

A page, a video or an image online.

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Tracing and evaluating LLM applications with Phoenix v1.0.0

Use this resource to trace, evaluate and monitor LLM applications in production

New

  • 411 downloads
  • 162 likes
  • 154 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install phoenix-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 guides you through installing Phoenix, starting the server locally or with PostgreSQL, then instrumenting your application to collect traces. You get a trace interface, dataset evaluations and monitoring.

Mostly picked by

Updated November 2, 2026

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

Details

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

Similar resources

View all

What you get

  • SKILL.md: installation, server startup and basic tracing
  • references/advanced-usage.md and troubleshooting.md: advanced settings and troubleshooting

Good fit for

  • You want to understand why an LLM answer failed
  • You compare prompts or models on a dataset

Not for

    Tags

    • observability
    • traces
    • evaluation
    • llm

    About

    You say

    “Instrument my LLM app with Phoenix to see the tool-call traces.”

    Card for the “Tracing and evaluating LLM applications with Phoenix” 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, evaluate and monitor LLM applications in production
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/advanced-usage.md15.5 KB
    • references/troubleshooting.md11.2 KB
    • SKILL.md11.7 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.