by OoriData · Agent Tool · ★ 132
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♪ Come along and ride on a fantastic voyage 🎵, with AI riding shotgun seat and a flatbed full of tools. Toolio is an OpenAI-like HTTP server API implementation which supports structured LLM response generation (e.g. make it conform to a JSON schema). It also implements tool calling by LLMs. Toolio is based on the MLX framework for Apple Silicon (e.g. M1/M2/M3/M4 Macs), so that's the only supported platform at present. Whether the buzzword you're pursuing is tool-calling, function-calling, agentic workflows, compound AI, guaranteed structured output, schema-driven output, guided generation, or steered response, give Toolio a try, in your own private setting. Builds on: https://github.com/otriscon/llm-structured-output/ Schema-steered structured output (3SO) There is sometimes confusion over the various ways to constrain LLM output You can basically beg the model through prompt engineering (detailed instructions, few-shot, etc.), then attempt generation, check the results, and retry if it doesn't conform (perhaps with further LLM begging in the re-prompt). This gives uneven results, is slow and wasteful, and ends up requiring much more powerful LLMs.
| Stars | 132 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 39.2/100 |
| Open Issues | 7 |
| Last Updated | 2026-02-27 |
| Created | 2024-06-20 |
| Platforms | cli, python |
| Est. Tokens | ~78k |
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Toolio is GenAI & agent toolkit for Apple Silicon Mac, implementing JSON schema-steered structured output (3SO) and tool-calling in Python. For more on 3SO: https://huggingface.co/blog/ucheog/llm-power-steering. It is categorized as a Agent Tool with 132 GitHub stars.
Toolio is primarily written in Python. It covers topics such as agentic, ai, apple-silicon.
You can find installation instructions and usage details in the Toolio GitHub repository at github.com/OoriData/Toolio. The project has 132 stars and 6 forks, indicating an active community.
The top alternatives to Toolio on Agent Skills Hub include agent-builder, mcp-server, mlx-serve. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.