GenAIScript
Programmatically assembles prompts for LLMs using JavaScript to orchestrate LLMs, tools, and data in code.
About
GenAIScript is a JavaScript toolbox that streamlines working with prompts, offering abstractions for enhanced productivity and seamless integration with Visual Studio Code or flexible command-line usage. It provides built-in support for various LLMs, including GitHub Copilot and GitHub Models, OpenAI, Azure OpenAI, and Anthropic, enabling developers to build, debug, run, and test scripts efficiently. With features like data schema validation, file ingestion from various formats, LLM tool registration, agent creation, RAG integration, and support for local models and code interpreters, GenAIScript empowers users to automate tasks, generate files, and integrate with pull request reviews, ensuring safety and reliability through tests and evaluations.
Key Features
- 2,419 GitHub stars
- LLM tool and agent creation with JavaScript functions
- Built-in RAG (Retrieval-Augmented Generation) with vector search
- Fast development loop with VS Code and CLI support
- Data schema definition, validation, and repair
- Stylized JavaScript & TypeScript for prompt building
Use Cases
- Generating data analysis reports from CSV/XLSX files
- Building custom LLM agents for repository querying
- Automating code reviews using LLMs in pull requests