Engine Core demonstrates a pattern for enabling LLMs to undertake tasks of a given scope with a dynamic system prompt and a collection of tool functions. We call these chat strategies.

Chat strategies offer a means to dynamically alter the chat history, system prompts, and available tools on every run.

This project includes 3 example strategies:

1. demoStrategy - a simple illustrative example called which serves as a starting point for creating new strategies.
2. backendStrategy - a slightly more comprehensive example where the LLM works on a local Fastify app (running on http://localhost:8080) to create database migrations and API endpoints.
3. shellStrategy - a LLM powered shell that can write files and run processes

Additionally, we have extracted the LLM integrations (e.g., Anthropic or OpenAI) into adapters, which allow you to run the same app code and strategies while switching foundation models.

Getting started

1. Ensure Docker is installed and running
2. Copy .env.example to .env and add at least one of OPENAI_API_KEY or ANTHROPIC_API_KEY
3. Run bin/cli
4. Select a LLM model for which you have provided an API key
5. Type help to see what you can do

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

Apache 2.0