GithubAIPy

They released this recently, so why not make a wrapper of it, to use everywhere !

A Python package to interact with GitHub AI models. Easily authenticate and query AI models using a simple and intuitive interface.

Installation

Install the package via pip:

pip install GithubAIPy

Quick Guide: Get GitHub Bearer Token Using Chrome DevTools

Go to: https://github.com/marketplace/models/azure-openai/gpt-4o/playground.

Open DevTools: F12 → Network tab.

Send a message in the playground.

In DevTools, find the completions request → check Headers → copy the Authorization: Bearer value.

⚠️ Warning: Keep your token private!

To use it, just put the full cookie with bearer before !

Usage

Authentication

authenticate using your GitHub Bearer token:

from GithubAIPy import login

login("your_bearer_token_here")

Querying a Model

Use the ask function to send a query to a specific AI model:

from GithubAIPy import ask

response = ask("Meta-Llama-3-70B-Instruct", "What is the capital of France?")
print(response)

Streaming Responses

Ask function supports streaming responses for real-time interaction:

response = ask("Meta-Llama-3-70B-Instruct", "Explain quantum computing in simple terms.", stream=True)

Supported AI Models

Below is a list of supported AI models. You can use any of these models with the ask function.

Supported AI Models

Below is a list of supported AI models. You can use any of these models with the ask function.

Model Name
gpt-4o	gpt-4o-mini	o1-mini
o1-preview	o3-mini	text-embedding-3-large
text-embedding-3-small	Phi-3.5-MoE-instruct	Phi-3.5-mini-instruct
Phi-3.5-vision-instruct	Phi-3-medium-128k-instruct	Phi-3-medium-4k-instruct
Phi-3-mini-128k-instruct	Phi-3-mini-4k-instruct	Phi-3-small-128k-instruct
Phi-3-small-8k-instruct	Phi-4	AI21-Jamba-1.5-Large
AI21-Jamba-1.5-Mini	Codestral-2501	Cohere-command-r
Cohere-command-r-08-2024	Cohere-command-r-plus	Cohere-command-r-plus-08-2024
Cohere-embed-v3-english	Cohere-embed-v3-multilingual	DeepSeek-R1
Llama-3.2-11B-Vision-Instruct	Llama-3.2-90B-Vision-Instruct	Llama-3.3-70B-Instruct
Meta-Llama-3.1-405B-Instruct	Meta-Llama-3.1-70B-Instruct	Meta-Llama-3.1-8B-Instruct
Meta-Llama-3-70B-Instruct	Meta-Llama-3-8B-Instruct	Ministral-3B
Mistral-Large-2411	Mistral-Nemo	Mistral-large
Mistral-large-2407	Mistral-small	jais-30b-chat

Examples

Example 1: Simple Query

response = ask("gpt-4o", "What is the meaning of life?")
print(response)

Example 2: Streaming Response

response = ask("Meta-Llama-3-70B-Instruct", "Explain the theory of relativity.", stream=True)

Example 3: Using a Different Model

response = ask("Mistral-Large-2411", "Write a Python function to calculate the Fibonacci sequence.")
print(response)

Contributing

Contributions are welcome! If you'd like to contribute, please follow these steps:

Fork the repository.

Create a new branch (git checkout -b feature/YourFeatureName).

Commit your changes (git commit -m 'Add some feature').

Push to the branch (git push origin feature/YourFeatureName).

Open a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Support For issues or feature requests, please open an issue on the GitHub repository.