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Spring Boot Integrated with DeepSeek: Deep Exploration in Java

The following is the process of integrating AI deepseek in springboot. The official website does not provide Java examples, but all Java-related functions can be used.

1. Create API key URL: Create deepseek API Keys

Click to create an API key, copy the created key value, as it cannot be viewed again and can only be recreated.

2. Package the utility method to askDeepSeek()

Add the key value and the path for asking questions. API_KEY is the key you created.

    private static final String API_URL = “https://api.deepseek.com/chat/completions”;
private static final String API_KEY = “11111111”; // Replace with your API Key

1 2	private static final String API_URL = “https://api.deepseek.com/chat/completions”; private static final String API_KEY = “11111111”; // Replace with your API Key

The utility method askDeepSeek():

The parameter question is the issue you want to ask.

public String askDeepSeek(String question) throws IOException {
CloseableHttpClient client = HttpClients.createDefault();
// Create HTTP POST request
HttpPost request = new HttpPost(API_URL);
request.setHeader(“Content-Type”, “application/json”);
request.setHeader(“Authorization”, “Bearer ” + API_KEY);

public String askDeepSeek(String question) throws IOException {

CloseableHttpClient client = HttpClients.createDefault();

// Create HTTP POST request

HttpPost request = new HttpPost(API_URL);

request.setHeader(“Content-Type”, “application/json”);

request.setHeader(“Authorization”, “Bearer “ + API_KEY);

3. Call the method to ask AI

String question1 = “Today is which day?”;
String answer = askDeepSeek(question);
System.out.println(“answer = ” + answer);

String question1 = “Today is which day?”;

String answer = askDeepSeek(question);

System.out.println(“answer = “ + answer);

4. Successful return example

The content contains the returned response.

answer = {“id”:”88dbce49-2841-448d-a74f-a2d3180c5672″,”object”:”chat.completion”,”created”:1734525002,”model”:”deepseek-chat”,”choices”:[{“index”:0,”message”:{“role”:”assistant”,”content”:”Of course, I’m happy! Thank you for your care. 😊”},”logprobs”:null,”finish_reason”:”stop”}],”usage”:{“prompt_tokens”:12,”completion_tokens”:11,”total_tokens”:23,”prompt_cache_hit_tokens”:0,”prompt_cache_miss_tokens”:12},”system_fingerprint”:”fp_1bcb2de9ac”}

answer = {“id”:“88dbce49-2841-448d-a74f-a2d3180c5672”,“object”:“chat.completion”,“created”:1734525002,“model”:“deepseek-chat”,“choices”:[{“index”:0,“message”:{“role”:“assistant”,“content”:“Of course, I’m happy! Thank you for your care. 😊”},“logprobs”:null,“finish_reason”:“stop”}],“usage”:{“prompt_tokens”:12,“completion_tokens”:11,“total_tokens”:23,“prompt_cache_hit_tokens”:0,“prompt_cache_miss_tokens”:12},“system_fingerprint”:“fp_1bcb2de9ac”}

However, after I connected to it, he could only answer some very simple questions. Is there anyone who knows how to use it?

February 11, 2025

answer, API key, CloseableHttpClient, completion, HttpPost, id, JSON, model, object, question

10 responses to “Spring Boot Integrated with DeepSeek: Deep Exploration in Java”

The article offers valuable insights into leveraging AI within Spring Boot projects. The askDeepSeek() method is a clever utility, but I’m interested in exploring how to handle multi-turn conversations with DeepSeek.

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This is a well-written guide that demystifies integrating DeepSeek with Spring Boot. I especially appreciate the emphasis on Java, given the lack of official support. It would be great to see more examples of real-world applications using this integration.

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I found this article extremely useful. The provided code snippets are clear and concise. I’m curious about how to improve performance when making multiple API calls within a Spring Boot application.

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The author’s step-by-step approach makes it easy to follow along, even for those new to AI integration. It would be helpful to see an example of handling the response JSON to extract meaningful insights.

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This guide is a great starting point for integrating AI into Spring Boot applications. The utility method is straightforward, but I wonder if there are best practices for managing API keys securely in real-world scenarios.

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The article fills a gap by showing how to use DeepSeek with Spring Boot despite the lack of official Java examples. I particularly like the API call example, but I’d love to see more on error handling and retries in production environments.

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This is a fantastic resource for anyone looking to integrate AI into their Java projects using Spring Boot. The askDeepSeek() method is well-documented, but I’m curious about how to handle more complex questions or improve response accuracy.

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I found this article very informative. It’s great that the author provided a working example of how to call DeepSeek within a Spring Boot application. However, I noticed that the response format isn’t properly parsed—maybe adding JSON handling would be useful for others.

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The author did an excellent job explaining how to integrate DeepSeek with Spring Boot, especially since there are limited Java resources available. The API key creation process is well-explained, but I wonder if there’s a way to handle API errors gracefully in the code.

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This article provides a clear guide on integrating DeepSeek into Spring Boot, which is helpful for developers looking to enhance their applications with AI capabilities. I appreciate the step-by-step instructions and the utility method provided. However, it would be great if more detailed Java examples were available from the official documentation.

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