A Java framework for LLM applications
lightweight, simple, and more elegant.
Agents-Flex includes a variety of network protocols for connecting LLMs, such as HTTP, SSE and WS. Its simple and flexible design allows developers to easily connect to various LLMs, including OpenAI, LLama, and Others AI.
Agents-Flex provides a rich set of development templates and Prompt Frameworks, including FEW-SHOT, CRISPE, BROKE, and ICIO. Developers can also customize their own unique prompt templates.
Agents-Flex has a very flexible Function Calling component. It supports local method definitions, parsing, callbacks through LLMs, and executing local methods to obtain results.
Agents-Flex offers Loader, Parser, and Splitter components for the Document. Each component has multiple implementations, making it easy to load data from the web, local files, databases, and various data types.
The Memory module of Agents-Flex is divided into MessageMemory and ContextMemory, used for recording chat messages and Chain execution contexts. Developers can extend the Memory module by inheritance to achieve richer functionalities.
Agents-Flex includes extensive embedding capabilities and extensions. Developers can implement the Embedding interface to expand their private embedding algorithms and support.
Agents-Flex supports multiple vector databases. Developers can also implement the VectorStore interface to expand their private VectorStore services.
Agents-Flex defines an abstract implementation of Agents. Developers can use the Agents Chain to create more interactive applications.
Agents-Flex’s Chain includes sequential Chains, asynchronous Chains, and loop Chains, helping developers handle various scenarios.