This project provides a collection of reference implementations, architectural patterns, and SDK samples for building autonomous agents using large language models. It serves as a multi-language framework for implementing and deploying specialized AI agents across diverse programming environments.
The system centers on an orchestration framework that combines deterministic code with adaptive reasoning through structured graph workflows. It utilizes schema-driven integration to connect agents with third-party applications and diverse AI models.
The development lifecycle is supported by toolkits for measuring agent reliability and performance against quality benchmarks. A command line interface manages the transition of these agents from initial prototyping and testing to production deployment.
