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longchain4j 学习系列(2)-调用远程deepseek

news 2026/6/15 5:11:38

接上一篇继续，longchain4j支持open-ai兼容的各种模式，包括deepseek

一、修改pom依赖

1 <!-- LongChain4j OpenAI Integration (支持DeepSeek) -->
2 <dependency>
3     <groupId>dev.langchain4j</groupId>
4     <artifactId>langchain4j-open-ai</artifactId>
5     <version>${longchain4j.version}</version>
6 </dependency>

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二、注入相应实例

 1 package com.cnblogs.yjmyzz.longchain4j.study.config;
 2 
 3 import dev.langchain4j.model.chat.ChatModel;
 4 import dev.langchain4j.model.chat.StreamingChatModel;
 5 import dev.langchain4j.model.openai.OpenAiChatModel;
 6 import dev.langchain4j.model.openai.OpenAiStreamingChatModel;
 7 import org.springframework.beans.factory.annotation.Value;
 8 import org.springframework.context.annotation.Bean;
 9 import org.springframework.context.annotation.Configuration;
10 
11 import java.time.Duration;
12 
13 /**
14  * DeepSeek配置类
15  * 用于配置LongChain4j与DeepSeek大模型的连接
16  *
17  * @author 菩提树下的杨过
18  * @version 1.0.0
19  */
20 @Configuration
21 public class DeepSeekConfig {
22 
23     @Value("${deepseek.api-key:your-deepseek-api-key-here}")
24     private String apiKey;
25 
26     @Value("${deepseek.base-url:https://api.deepseek.com}")
27     private String baseUrl;
28 
29     @Value("${deepseek.model:deepseek-chat}")
30     private String model;
31 
32     @Value("${deepseek.timeout:60}")
33     private Integer timeoutSeconds;
34 
35     @Value("${deepseek.temperature:0.7}")
36     private Double temperature;
37 
38     @Value("${deepseek.max-tokens:2048}")
39     private Integer maxTokens;
40 
41     /**
42      * 配置DeepSeek聊天模型
43      *
44      * @return ChatModel实例
45      */
46     @Bean
47     public ChatModel chatModel() {
48         return OpenAiChatModel.builder()
49                 .apiKey(apiKey)
50                 .baseUrl(baseUrl)
51                 .modelName(model)
52                 .temperature(temperature)
53                 .maxTokens(maxTokens)
54                 .timeout(Duration.ofSeconds(timeoutSeconds))
55                 .logRequests(true)
56                 .logResponses(true)
57                 .build();
58     }
59 
60     /**
61      * 配置DeepSeek流式聊天模型
62      *
63      * @return StreamingChatModel实例
64      */
65     @Bean
66     public StreamingChatModel streamingChatModel() {
67         return OpenAiStreamingChatModel.builder()
68                 .apiKey(apiKey)
69                 .baseUrl(baseUrl)
70                 .modelName(model)
71                 .temperature(temperature)
72                 .maxTokens(maxTokens)
73                 .timeout(Duration.ofSeconds(timeoutSeconds))
74                 .logRequests(true)
75                 .logResponses(true)
76                 .build();
77     }
78 }

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三、yaml配置调整

1 # DeepSeek配置
2 deepseek:
3   api-key: ${DEEPSEEK_API_KEY:your-deepseek-api-key-here}
4   base-url: https://api.deepseek.com
5   model: deepseek-chat
6   timeout: 60
7   temperature: 0.7
8   max-tokens: 2048