HOSP-AI

Universal LLM Provider Connector for Java

Why HOSP-AI?

When I first started exploring LLMs and Neural Networks in Python, experimenting was easy. But when I switched back to Java—the language I trust for its scalability and performance—I hit a roadblock. There weren’t any simple tools to help me work seamlessly with multiple LLM providers.

This had to be fixed.

The result? Hosp-AI

A library designed for quick prototyping with LLMs, and fully compatible with production-ready frameworks like Spring Boot.

Thanks to Adalflow , the inspiration behind building this library.

Contributions are Welcome (in need of volunteers)

1. Fork the Repo
2. Create a Branch - name it based on issue-fix, documentation, feature
3. Pull a PR
4. Tools Support

Features

1. Support for following LLM providers: OpenAI, Anthropic, Groq, Ollama
2. PromptBuilder to build complex prompts
3. Support to customize default client implementations (Flexible approach for integrating with frameworks like SpringBoot)

Features in Pipeline

1. Image Support
2. Stream Response

Installation

1. Add jitpack repository in pom file

   <repositories>
    <repository>
     <id>jitpack.io</id>
     <url>https://jitpack.io</url>
    </repository>
   </repositories>
   

2. Add hosp-ai dependency (check latest version)

   <dependency>
    <groupId>com.github.r7b7</groupId>
    <artifactId>hosp-ai</artifactId>
    <version>v1.0.0-alpha.2</version>
   </dependency>
   
   
   

Working Examples

For working examples and tutorials - visit Wiki