by imaurer · Agent Tool · ★ 2.2k
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Awesome LLM JSON List This awesome list is dedicated to resources for using Large Language Models (LLMs) to generate JSON or other structured outputs. Table of Contents Terminology Hosted Models Local Models Python Libraries Blog Articles Videos Jupyter Notebooks Leaderboards Terminology Unfortunately, generating JSON goes by a few different names that roughly mean the same thing: Structured Outputs: Using an LLM to generate any structured output including JSON, XML, or YAML regardless of technique (e.g. function calling, guided generation). Function Calling: Providing an LLM a hypothetical (or actual) function definition for it to "call" in it's chat or completion response. The LLM doesn't actually call the function, it just provides an indication that one should be called via a JSON message. JSON Mode: Specifying that an LLM must generate valid JSON. Depending on the provider, a schema may or may not be specified and the LLM may create an unexpected schema. Tool Usage: Giving an LLM a choice of tools such as image generation, web search,
| Stars | 2,166 |
| Forks | 90 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.68082057091/100 |
| Open Issues | 2 |
| Last Updated | 2025-02-18 |
| Created | 2023-03-28 |
| Est. Tokens | ~17k |
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awesome-llm-json is Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.. It is categorized as a Agent Tool with 2.2k GitHub stars.
You can find installation instructions and usage details in the awesome-llm-json GitHub repository at github.com/imaurer/awesome-llm-json. The project has 2.2k stars and 90 forks, indicating an active community.
awesome-llm-json is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-llm-json on Agent Skills Hub include LLMCompiler, awesome-gpt-prompt-engineering, aichat. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.