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.

Structured, validated LLM outputs with Pydantic v1.0.0

Use this resource to extract structured data from an LLM, validated against a Pydantic schema

New

  • 490 downloads
  • 198 likes
  • 247 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install structured-llm-outputs-pydantic-2

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 defines a Pydantic model, creates an Instructor client for your provider, then extracts data from a text. Non-conforming replies are retried automatically. You get typed Python objects instead of text to parse.

Mostly picked by

Updated November 2, 2026

Card for the “Structured, validated LLM outputs with Pydantic” skill

Details

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

Similar resources

View all

What you get

  • SKILL.md: installation, a first schema and extraction
  • references/: examples, supported providers and validation

Good fit for

  • You want reliable extraction of fields from emails or invoices
  • You need to validate an LLM output before saving it

Not for

    Tags

    • pydantic
    • llm
    • extraction
    • validation
    • python

    About

    You say

    “Extract the name, date and amount from this invoice into a Pydantic model.”

    Card for the “Structured, validated LLM outputs with Pydantic” 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 extract structured data from an LLM, validated against a Pydantic schema
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/examples.md2.3 KB
    • references/providers.md1.3 KB
    • references/validation.md14.9 KB
    • SKILL.md16.3 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/nousresearch/hermes-agent/tree/0c74cc682dc81bf78b78a1737b3ee77a820ccb79/optional-skills/mlops/instructor
    Licence
    MIT

    Notice

    « instructor » (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.