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https://github.com/joshua-briggs/langchain-agentic-prompt-engineering

This repository introduces LangChain Agentic Prompt Engineering, demonstrating how to set up a ChatPromptTemplate for AI interactions. It guides you in configuring input variables and integrating these prompts with a language model.
https://github.com/joshua-briggs/langchain-agentic-prompt-engineering

jupyter-notebook langchain langchain-python prompt prompt-engineering python

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This repository introduces LangChain Agentic Prompt Engineering, demonstrating how to set up a ChatPromptTemplate for AI interactions. It guides you in configuring input variables and integrating these prompts with a language model.

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README

          

# Welcome to LangChain Prompts Setup 🚀

This guide is a beginner-friendly introduction to setting up your Python environment and using Prompts with LangChain. We'll walk you through each step to ensure you have everything ready for a smooth start!

## 🛠 Setting Up the Environment

Follow these steps to set up your environment:

1. **Navigate to the Project Directory**:
```bash
cd example-chapter
```

2. **Install Python 3.12.7** (skip if already installed):
```bash
uv python install 3.12.7
```

3. **Create a Virtual Environment**:
```bash
uv venv --python 3.12.7
```

4. **Activate the Virtual Environment**:
For Windows:
```bash
.\venv\Scripts\activate
```
For macOS and Linux:
```bash
source venv/bin/activate
```

5. **Install Dependencies**:
```bash
uv sync
```

Now, you are ready to run the project within this environment. Let's dive into the world of Prompt Engineering configurations! 🌐🔧

Feel free to reach out if you encounter any issues or have questions as you proceed. Happy coding! 😊