JAVA调用Deepseek的api,完成基本对话
- 开源代码
- 2025-09-17 22:06:01

一、准备工作 注册账号 访问 DeepSeek 官网(如 .deepseek /)或对应平台。完成注册并登录,部分服务可能需要企业认证或申请权限。 获取 API 密钥(如使用 API) 进入控制台或开发者页面,创建 API Key。保存密钥(如 sk-xxxxxxxxx),勿泄露给他人。 安装必要工具 如使用编程调用,需安装 Python 环境及依赖库:pip install requests openai # 部分服务可能需要特定 SDK 二、基础使用(以 API 为例)
示例 1:通过 HTTP 请求调用
import requests url = " api.deepseek /v1/chat/completions" # 替换为实际 API 地址 headers = { "Authorization": "Bearer YOUR_API_KEY", "Content-Type": "application/json" } data = { "model": "deepseek-chat", # 指定模型名称 "messages": [ {"role": "user", "content": "你好,请介绍 DeepSeek 的功能。"} ] } response = requests.post(url, json=data, headers=headers) print(response.json())示例 2:使用官方 SDK(如有) 若提供 SDK,安装后调用更便捷:
from deepseek import DeepSeekClient client = DeepSeekClient(api_key="YOUR_API_KEY") response = client.chat_completions.create( model="deepseek-chat", messages=[{"role": "user", "content": "写一首关于春天的诗"}] ) print(response.choices[0].message.content) 三、高级功能 1. 调整模型参数 控制生成结果的参数(如随机性、长度): { "temperature": 0.7, # 值越高越随机(0-2) "max_tokens": 500, # 生成最大长度 "top_p": 0.9 # 多样性控制 } 2. 多轮对话 维护 messages 历史记录实现连续对话: messages = [ {"role": "user", "content": "如何学习机器学习?"}, {"role": "assistant", "content": "建议从基础数学和 Python 开始..."}, {"role": "user", "content": "推荐一些实践项目。"} ]————————————————
四. 添加HTTP客户端依赖使用Java的HTTP客户端库(如Apache HttpClient或OkHttp)来发送HTTP请求。如果使用Maven,可以在pom.xml中添加依赖:、 <!-- Apache HttpClient --> <dependency> <groupId>org.apache.httpcomponents</groupId> <artifactId>httpclient</artifactId> <version>4.5.13</version> </dependency> <!-- OkHttp --> <dependency> <groupId>com.squareup.okhttp3</groupId> <artifactId>okhttp</artifactId> <version>4.9.3</version> </dependency> 创建HTTP请求使用HTTP客户端库创建请求,设置请求头、URL和请求体示例1. 使用Apache HttpClient:
import org.apache.http.HttpEntity; import org.apache.http.client.methods.CloseableHttpResponse; import org.apache.http.client.methods.HttpPost; import org.apache.http.entity.StringEntity; import org.apache.http.impl.client.CloseableHttpClient; import org.apache.http.impl.client.HttpClients; import org.apache.http.util.EntityUtils; public class DeepSeekClient { private static final String API_URL = " api.deepseek /v1/your-endpoint"; private static final String API_KEY = "your-api-key"; public static void main(String[] args) { try (CloseableHttpClient httpClient = HttpClients.createDefault()) { HttpPost httpPost = new HttpPost(API_URL); httpPost.setHeader("Authorization", "Bearer " + API_KEY); httpPost.setHeader("Content-Type", "application/json"); String json = "{\"name\":\"tom\"}"; // 替换为实际请求体 httpPost.setEntity(new StringEntity(json)); try (CloseableHttpResponse response = httpClient.execute(httpPost)) { HttpEntity entity = response.getEntity(); if (entity != null) { String result = EntityUtils.toString(entity); System.out.println(result); } } } catch (Exception e) { e.printStackTrace(); } } }示例2. 使用OkHttp
import okhttp3.*; import java.io.IOException; public class DeepSeekClient { private static final String API_URL = " api.deepseek /v1/your-endpoint"; private static final String API_KEY = "your-api-key"; public static void main(String[] args) { OkHttpClient client = new OkHttpClient(); MediaType mediaType = MediaType.parse("application/json"); String json = "{\"name\":\"tom\"}"; // 替换为实际请求体 RequestBody body = RequestBody.create(mediaType, json); Request request = new Request.Builder() .url(API_URL) .post(body) .addHeader("Authorization", "Bearer " + API_KEY) .addHeader("Content-Type", "application/json") .build(); try (Response response = client.newCall(request).execute()) { if (response.isSuccessful() && response.body() != null) { System.out.println(response.body().string()); } } catch (IOException e) { e.printStackTrace(); } } }通过以上步骤,你可以在Java中成功对接DeepSeek API,也可整合springboot,通过springboot发送向deepseek发送请求。 ————————————————
JAVA调用Deepseek的api,完成基本对话由讯客互联开源代码栏目发布,感谢您对讯客互联的认可,以及对我们原创作品以及文章的青睐,非常欢迎各位朋友分享到个人网站或者朋友圈,但转载请说明文章出处“JAVA调用Deepseek的api,完成基本对话”
下一篇
WhiteNoise的用法