This directory contains tutorials and examples for using the Mandoline Python client.

1. quick_start.py: A basic introduction to using the Mandoline client.
2. prompt_engineering.py: An example of using Mandoline for prompt engineering tasks.
3. model_selection.py: A tutorial on comparing different language models using Mandoline.
4. get_metrics.py: A simple demo that fetches all metrics with a "personality" tag.

1. Ensure you're in the tutorials directory:

   cd tutorials

2. Install the necessary dependencies:

   pip install -r requirements.txt

3. Create a .env file in this directory with your API keys:

   export MANDOLINE_API_KEY=your_mandoline_api_key
   export OPENAI_API_KEY=your_openai_api_key
   export ANTHROPIC_API_KEY=your_anthropic_api_key
   

To run a specific tutorial, use the following commands:

1. Source the environment variables:

   source .env

2. Run the desired script:

   python quick_start.py
   # or
   python prompt_engineering.py
   # or
   python model_selection.py
   # or
   python get_metrics.py

Feel free to modify these scripts to experiment with different prompts, metrics, or models. The tutorials are designed to be starting points for your own experiments with Mandoline.

• For more information on the Mandoline API, visit the official documentation.
• If you encounter any issues or have questions, please open an issue or contact Mandoline support at [email protected].