llm4j is an open-source Java library that provides a unified interface for interacting with various Large Language Models (LLMs) such as OpenAI, HuggingFace, and custom/self-hosted LLMs. Inspired by Python's langchain, llm4j aims to simplify the integration of LLMs into Java projects, particularly Spring applications, and enable the creation of standalone applications and complex agent/tools-based apps powered by LLM AI models.

Ease of use: Designed with Java projects in mind, llm4j offers easy integration into existing Java applications.

The library provides a simple and consistent way to interact with different LLMs without worrying about the specifics of each implementation (OpenAI, HuggingFace, and custom/self-hosted LLMs).

The world of AI applications and LLMs is rapidly evolving. Our goal is to stay updated, listen to users' feedback and use cases, and support them quickly while maintaining good development practices, code quality, and backward compatibility as much as possible.

Prerequisites Java 8 or higher Maven or Gradle build tool Installation Add the following dependency to your pom.xml (Maven):

<dependency>
    <groupId>com.yoazmenda.llm4j</groupId>
    <artifactId>llm4j</artifactId>
    <version>1.0.0</version>
</dependency>

Create an instance of the LlmClient for your desired LLM:

import com.yoazmenda.llm4j.*;

// For OpenAI
OpenAIProvider openAiProvider = new OpenAILlm("your-api-key", "model-name", 0.8, 50);
LlmClient openAIClient = new LlmClient(openAiProvider);

String prompt = "Translate the following English text to French: 'Hello, world!'";
String response = openAIClient.getCompletions(prompt);

System.out.println(response);

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

License This project is licensed under the MIT License - see the LICENSE.md file for details.