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Select Topic AreaQuestion BodyI’m building a small experimental project and want to plug a GitHub-hosted model into it. I’m confused about where to start, which API approach is easiest for beginners, and how to keep my repo organized. Any beginner-friendly walkthrough or real examples would help me understand the full flow. If you want, I can tailor one specifically to your project or what you’re planning to ask. |
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bro stop using ChatGPT |
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Nice try, but everyone knows Vimu0726 and Janiith07 are your accounts. |
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hahahaha |
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Integrating GitHub Models into a simple app is a great way to start with AI development. The best way is to use the GitHub Models API (currently in preview). You can follow the official documentation and examples provided in the 'GitHub Models' category. Typically, this involves:
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When people say GitHub-hosted model, they usually mean:
Using GitHub Models as the AI backend
Calling a model (like GPT-4.1, Claude, etc.) via an OpenAI-compatible API
Authenticating with your GitHub token, not a separate OpenAI key
The easiest API approach for beginners (recommended)
Use the OpenAI-compatible API
This is the simplest and most beginner-friendly option because:
Tons of examples exist
Works with Python, JS, curl
Same structure as OpenAI tutorials
GitHub Models supports it directly
You don’t need to learn a new SDK or protocol.