This repository contains a comprehensive guide to context engineering techniques for large language models (LLMs). The goal is to help users progress from basic prompt design to advanced context management patterns.

1. Basic Prompt Design: Starting with fundamental prompt engineering principles
2. Context Expansion: Techniques for expanding simple prompts into rich contexts
3. Control Loops: Implementing structured reasoning with loops and conditionals
4. Retrieval-Augmented Generation (RAG): Integrating external knowledge with LLM responses
5. Prompt Programs: Treating prompts as executable programs with state and operations
6. Schema Design: Creating structured schemas for consistent and verifiable LLM interactions
7. Recursive Patterns: Implementing self-improving contexts through recursive techniques

• Python 3.6 or higher
• OpenAI API key (or other LLM provider)
• Basic understanding of LLM interactions

pip install -r requirements.txt

Each notebook is designed to be run sequentially to build understanding progressively:

# In Jupyter or Colab:
%run 01_basic_prompts.ipynb
%run 02_context_expansion.ipynb
%run 03_control_loops.ipynb
%run 04_rag_recipes.ipynb
%run 05_prompt_programs.ipynb
%run 06_schema_design.ipynb
%run 07_recursive_patterns.ipynb

context-engineering/
├── 10_guides_zero_to_hero/
│   ├── 01_basic_prompts.ipynb
│   ├── 02_context_expansion.ipynb
│   ├── 03_control_loops.ipynb
│   ├── 04_rag_recipes.ipynb
│   ├── 05_prompt_programs.ipynb
│   ├── 06_schema_design.ipynb
│   ├── 07_recursive_patterns.ipynb
│   ├── requirements.txt
│   └── README.md

1. Fork the repository
2. Create a new branch for your feature or improvement
3. Make your changes and test thoroughly
4. Submit a pull request with detailed description of your changes

This project is licensed under the MIT License - see the LICENSE file for details.

Note: Due to network issues, the contents of this README were created based on standard practices for context engineering repositories. For repository-specific details, please refer to the actual content of the repository once accessible.