Features
Library-trained AI agents for open-source packages
Natural language question answering
Customized code generation for your project
Integration with popular IDEs via plugin
Access to library-specific GitHub repositories for training
Context-aware responses based on your codebase
Support for multiple programming languages (Python, JS, etc.)
Search by library name or function
Code snippet copy-paste ready
Usage examples generated on demand
@ai_fn decorator for LLM-powered Python functions
@ai_classifier decorator for text classification
Structured data extraction via Pydantic models
Agent loops with tool calling and function calling
Built-in streaming (SSE) support
Async-first API for concurrent applications
Rate limiting and automatic retries
LLM response caching for performance
Concurrency control for workload management
CLI tool for monitoring and debugging
SQLite state store for persistence
OpenAI and Anthropic model support
Embeddings generation for semantic search
Local execution with no cloud dependency
Self-hosted deployable as a library
