This project provides a minimal, ~100-line JavaScript re-implementation of LangChain's core functionality, demonstrating LLM-powered chat with tool usage (Google Search, calculator). It's designed for educational purposes, offering a simplified entry point for understanding how LLM orchestration frameworks operate, targeting developers and students interested in LLM agents.

How It Works

The implementation uses a sequential chain-of-thought approach. An LLM (OpenAI's GPT-3.5) processes user input, determines if external tools are needed, executes them, and then synthesizes the results into a coherent response. This modular design allows the LLM to leverage external knowledge and computational capabilities.

Quick Start & Requirements

• Install dependencies: % npm install
• Run the chain: % node index.mjs
• Prerequisites: Node.js >= v18, OpenAI API key, SerpApi API key (via .env file).

Highlighted Details

• Demonstrates LLM tool usage for Google Search and a calculator.
• Achieves conversational capabilities with a concise codebase.
• Serves as an educational tool for understanding LLM agent mechanics.

Maintenance & Community

The project is a personal educational endeavor by ColinEberhardt, with no explicit community channels or roadmap mentioned.

Licensing & Compatibility

The README does not specify a license. Compatibility for commercial use or closed-source linking is undetermined.

Limitations & Caveats

This is a simplified educational re-implementation, not a production-ready framework. It relies on specific external APIs (OpenAI, SerpApi) and lacks the robustness, features, and extensibility of the full LangChain library.