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.
Install the package via pip:
pip install GithubAIPyGo 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.
To use it, just put the full cookie with bearer before !
authenticate using your GitHub Bearer token:
from GithubAIPy import login
login("your_bearer_token_here")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)Ask function supports streaming responses for real-time interaction:
response = ask("Meta-Llama-3-70B-Instruct", "Explain quantum computing in simple terms.", stream=True)
Below is a list of supported AI models. You can use any of these models with the ask function.
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 |
Example 1: Simple Query
response = ask("gpt-4o", "What is the meaning of life?")
print(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)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.
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.