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Library for constraining LLM output to a specific structure - JSON schema, regex, grammar - guaranteeing valid, parseable results.

• AI & Machine Learning

Programming paradigm and library for controlling LLM generation with interleaved prompting, control flow, and constrained output in one program.

• AI & Machine Learning

Library for getting reliable, structured data output from LLMs using function-calling APIs and Pydantic models for validation.

• AI & Machine Learning

Developer-centric API testing tool that records real API and database traffic with eBPF and turns it into test cases and data mocks automatically, with no code changes.

• Testing

Fast serving framework for large language models and vision-language models, with a structured generation language for complex LLM programs.

• AI & Machine Learning

Open-source framework for building production-ready search and RAG (retrieval-augmented generation) applications with LLMs.

• AI & Machine Learning

Framework for developing applications powered by large language models, agents and retrieval-augmented generation.

• AI & Machine Learning

Command-line tool that encrypts individual values inside YAML, JSON, and other config files, so secrets can be safely committed to git.

• DevOps