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awesome-llm-json

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A curated list of resources for generating JSON and structured outputs with LLMs, covering hosted/local models, Python libraries, and educational content. Focuses on function calling, JSON mode, and tool usage.

2.2kstars
94forks
0issues
MITlicense
2023since
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Reviewgenerated from repository data · Aug 5, 2026

What it is

This repository is an awesome list focused on resources for generating JSON or other structured outputs with LLMs, including function calling, JSON mode, and tool usage. It catalogs Hosted Models, Local Models, Python Libraries, Blog Articles, Videos, Jupyter Notebooks, and Leaderboards.

How it works

The page organizes resources into sections and provides links to APIs, documentation, and examples across multiple providers and libraries. It includes hosted model listings with per-provider model names and related docs, and a Local Models section describing locally deployable options. It also enumerates Python libraries that support structured outputs and function/tool calling.

Getting started

The README suggests exploring sections such as Hosted Models, Local Models, Python Libraries, and Jupyter Notebooks to find tools and examples. It does not include a single install command in the truncated portion provided.

Recent releases

RELEASES (latest 0): - none

Traction

Stars: 2176 Forks: 94 Open issues: 0 Last push: 2025-02-18 Created: 2023-03-28

Behind the repo

Not provided in the truncated content. The repository appears to be a community-curated list rather than a single software project with a company behind it.

Caveats

License: MIT Language: - Topics include awesome-list, function-calling, gpt-actions, large-language-models, llm, structured-generation

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