MistralGPTIntegration

MistralGPTIntegration is a Python package designed to provide GPT-based functionalities using the Mistral AI API. It enables users to quickly obtain comprehensive, context-aware responses from the model.

Installation

To install MistralGPTIntegration, you can use pip:

pip install MistralGPTIntegration

Usage

After installation, MistralGPTIntegration can be used in your Python scripts.

Example:

from mistralgptintegration import MistralGPTIntegration

api_key = "<your_api_key>"
mistral = MistralGPTIntegration(api_key)
prompt = "Once upon a time"
response = mistral.query_gpt(prompt)
print(response)

• api_key: Your Mistral API key.
• model_name: The name of the Mistral model to use. Defaults to mistral-tiny.
• temperature: The temperature to use for the model. Defaults to 0.1.
• top_p: The top_p to use for the model. Defaults to 1.0.
• max_tokens: The maximum number of tokens to generate. Defaults to 150.

Customizing Your Queries

You can customize the behavior of MistralGPTIntegration by adjusting the parameters, such as the temperature, top_p, max_tokens, etc., to fit the specific needs of your queries or to tweak the behavior of the Mistral model.

Output Example

When you query the model, it processes your prompt and returns a response. Here is an example of the output:

{
  "id": "63213d34c61f4d96b893d7b1afc2b893",
  "object": "chat.completion",
  "created": 1706372087,
  "model": "mistral-small",
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "some text"
      },
      "finish_reason": "stop",
      "index": 0
    }
  ],
  "usage": {
    "prompt_tokens": 318,
    "total_tokens": 622,
    "completion_tokens": 304
  }
}

Contributing

Contributions, issues, and feature requests are welcome! Feel free to check issues page.

License

MIT