DeepSeek-Spring-Integration 🌐🤖

A seamless integration of DeepSeek's AI capabilities into Spring Boot applications. Add natural language processing, chatbots, and intelligent text generation to your Java projects with just a few lines of code.

Demo Article: Medium Tutorial
API Documentation: DeepSeek API Docs

Features ✨

• 🚀 Text generation via DeepSeek's language models
• 💬 Conversational AI chatbot implementation
• ⚡ Spring Boot-native configuration
• 🔒 Secure API key management
• 📦 Ready-to-deploy REST API endpoints

Prerequisites 📋

• Java 17+
• Spring Boot 3.2+
• Maven/Gradle
• DeepSeek API Key

Quick Start 🚀

1. Clone the Repository

git clone https://github.com/sauravsku/DeepSeek-Spring-Integration.git
cd DeepSeek-Spring-Integration

2. Configure API Key

Create src/main/resources/application.properties:

deepseek.api.key=your_api_key_here
deepseek.api.url=https://api.deepseek.com/v1/chat/completions

3. Build & Run

mvn spring-boot:run
# or
./gradlew bootRun

Usage Examples 💻

Basic Text Generation

curl -X POST -H "Content-Type: application/json" \
-d '"Explain quantum computing in simple terms"' \
http://localhost:8080/api/ai/generate

Sample Response

{
  "id": "chatcmpl-123",
  "object": "chat.completion",
  "choices": [{
    "message": {
      "role": "assistant",
      "content": "Quantum computing uses quantum bits..."
    }
  }]
}

Project Structure 📂

├── src
│   └── main
│       ├── java
│       │   └── com
│       │       └── deepseek
│       │           ├── config      # Configuration classes
│       │           ├── controller  # REST endpoints
│       │           └── service     # Business logic
│       └── resources
│           └── application.properties
├── LICENSE
└── README.md

Advanced Configuration ⚙️

Custom Model Parameters

# Optional parameters
deepseek.model=deepseek-chat
deepseek.temperature=0.7
deepseek.max_tokens=1000

Enable Request Logging

# Add to application.properties
logging.level.org.apache.http=DEBUG

API Reference 📚

Endpoint	Method	Description
/api/ai/generate	POST	Process text generation requests

Request Body Format:

"Your prompt text here"

Contributing 🤝

We welcome contributions! Please follow these steps:

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License 📄

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

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Built with ❤️ by Saurav Kumar