

Agents Flex
Overview :
Agents Flex is a Java framework for developing LLM (Large Language Model) applications. It provides multiple network protocols, such as HTTP, SSE, and WS, to connect with various LLMs, including OpenAI LLama and Others AI Prompt. Agents Flex offers a rich set of development templates and Prompt frameworks, including FEW-SHOT, CRISPE, BROKE, and ICIO. It also supports local method definition, parsing callbacks, and executing local methods to retrieve results.
Target Users :
Agents Flex is suitable for developers and researchers to build various LLM (Large Language Model) applications. It provides flexible network protocol support for connecting LLMs and offers a rich set of development templates and Prompt frameworks. Agents Flex also supports local method definition and execution, along with flexible memory and embedding functionalities.
Use Cases
Developing an LLM-based chatbot
Building an automatic text summarization tool
Implementing an automatic translation system
Features
Supports network protocols such as HTTP, SSE, and WS
Provides multiple development templates and Prompt frameworks
Supports local method definition and parsing callbacks
Allows execution of local methods to retrieve results
Flexible memory module, recording chat messages and execution context
Supports extension of embedding functionalities and vector storage
Defines abstract Agents implementation, enabling the creation of interactive applications
Includes sequential chains, asynchronous chains, and loop chains
How to Use
Install a Java development environment
Introduce Agents Flex framework dependencies
Write code, connect LLMs, and use development templates
Run the application and test the functionalities
Customize and extend based on requirements
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