AI Topic: AI Development Libraries

Open-source CLI and Python library to run prompts, chat, embeddings, schemas, and tool-use across OpenAI, Claude, Gemini, and local models (Ollama, llama.cpp). Stores logs and vectors in SQLite and is extensible via plugins.

Domain-specific language and toolchain for type-safe LLM functions, structured outputs, and multi-provider orchestration.

TypeScript framework for building and shipping MCP applications with file system routing, hot reloading, and flexible deployment options.

Open-source LLM gateway and Python SDK that unifies 100+ providers behind an OpenAI-compatible API with cost tracking, budgets, rate limits, and fallbacks.

Open-source toolkit from Apple for interactive visualization and exploration of large embeddings in the browser, Python (CLI/Jupyter), and Streamlit.

Run local LLMs, chat with documents, and power apps using a local AI server.

AI observability and LLM evaluation platform for monitoring, troubleshooting, and improving model performance

Open-source data logging library for AI observability and data quality monitoring

AI observability platform for monitoring and securing ML models and LLM applications

End-to-end platform for building, deploying, and operating AI solutions with award-winning AutoML