Updated the OpenAI agent example to demonstrate streaming responses by modifying the chat completion call to include `stream=True` and iterating over response chunks. Added a new `stream_response` function that yields tokens incrementally, showcasing real-time output for interactive use cases. The example now includes a `main` block that calls this function with a sample prompt, improving clarity for developers integrating streaming into their agents.
This commit introduces a new example script that showcases how to build and run an AI agent using the OpenAI API, including setup instructions and basic interaction patterns.
- Include overview of project purpose and key features
- Add step-by-step installation and configuration guide
- Provide usage examples and API documentation references
Introduces a new env.py module that centralizes environment variable handling. The module loads configuration from a .env file using python-dotenv and validates required variables like DATABASE_URL and SECRET_KEY, raising clear errors for missing critical settings.
The documentation now includes a comprehensive guide covering data preparation, model architecture selection, hyperparameter tuning, and evaluation metrics for the pattern recognition training pipeline.
