Python script for running LLM API calls with different models and saving responses to HTML files.

1. Clone the repository
2. Install dependencies:

pip install -r requirements.txt

1. Copy .env-example to .env:

cp .env-example .env

2. Edit .env file with your settings:
   • BASE_URL - API endpoint URL
   • API_KEY - Your API key
   • MODELS - Comma-separated list of models to test
   • PROMPT - The prompt to send to all models
   • SYSTEM_PROMPT - System prompt that defines the AI behavior
   • TEMPERATURE - Temperature parameter for API calls (default: 0.3)
   • FOLDER_NAME - Folder name where results are saved (default: output)

Run the script:

python llm_runner.py

The script will:

1. Load configuration from .env file
2. Process each model sequentially
3. Create HTML files in the output/ directory
4. Name each file according to the model name (with / replaced by _)

For model openai/gpt-5.2, the output file will be output/openai_gpt-5.2.html