li2109/langtorch
🏗️ Frameworkli2109
A powerful Java framework for building composable LLM applications and complex AI workflows.
Langtorch serves as a bridge between the rapidly evolving world of Large Language Models and the robust, type-safe environment of Java. It focuses on composability, allowing developers to chain together various prompts, model calls, and data processing steps into cohesive workflows. Key features include support for chain-of-thought prompting, which enhances the reasoning capabilities of LLMs, and seamless integration with OpenAI's API. The framework is designed to be extensible, supporting the creation of custom plugins and tools that can be easily swapped or updated. By utilizing Java's strong typing and mature ecosystem, Langtorch provides a reliable foundation for building production-ready AI agents and automated workflows. It addresses the common pain points of LLM integration—such as state management, prompt templating, and response parsing—by providing a structured, object-oriented approach that feels natural to Java developers.
💡Highlights
- ├─Native Java LLM orchestration
- ├─Supports chain-of-thought workflows
- └─Composable plugin architecture
🎯For
- ├─Java Developers
- └─Enterprise Software Architects