Turista

Overview

This project is a Spring Boot application integrated with LangChain4j. It uses the Maven Wrapper to simplify the build process, ensuring consistent Maven versioning across different environments. The application leverages LangChain4j to build language model applications in Java, with Spring Boot handling the backend services.

Requirements

• Java 22: Ensure that Java 22 is installed.
• Maven Wrapper: This project comes with a Maven wrapper (mvnw), so you don’t need to install Maven globally.
• Spring Boot 3+: The project uses Spring Boot to build the web services.
• LangChain4j: Integrated for working with large language models (LLM).

Features

• LangChain4j integration for natural language processing.
• REST APIs built with Spring Boot to expose LangChain capabilities.
• Ready-to-use Maven wrapper for easy build and execution.

OpenAI API Configuration

This project integrates with OpenAI's API through LangChain4j. To use OpenAI's services, you must:

1. Register for an API key at OpenAI's website.
2. Once you have your API key, you need to set it as an environment variable.

Setting the API Key

For the application to connect to the OpenAI API, you must configure your environment with the following variable:

• Environment Variable Name: OPENAI_API_KEY

Example Setup

On Unix/macOS:

export OPENAI_API_KEY=your_openai_api_key

Usage

• Send a POST request to http://localhost:8080/post with a string in the body and the response will determine if it a praise or a complaint.
• Send a GET request to http://localhost:8080/praises and the response will contain the main praises.
• Send a GET request to http://localhost:8080/complaints and the response will contain the main complaints.

Reference

Project based on https://github.com/professorisidro/langchain-demo .