20250329 通过application配置apikey以及model

src/main/java/com/ai/config/AssistantInit.java

@@ -13,6 +13,7 @@ import dev.langchain4j.service.AiServices;
 import dev.langchain4j.store.embedding.EmbeddingStoreIngestor;
 import dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore;
 import lombok.RequiredArgsConstructor;
+import org.springframework.beans.factory.annotation.Value;
 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;
 
@@ -24,11 +25,17 @@ public class AssistantInit {
 
     // All files in a directory, txt seems to be faster
 
+    @Value("${langchain4j.api-key}")
+    private String apiKey;
+
+    @Value("${langchain4j.model}")
+    private String model;
+
     @Bean
     public Assist init() {
         ChatLanguageModel qwenModel = QwenChatModel.builder()
-                .apiKey("sk-2f703a41fff0488e9b6888013d2ee58a")
-                .modelName("deepseek-v3")
+                .apiKey(apiKey)
+                .modelName(model)
                 .build();
         List<Document> documents = FileSystemDocumentLoader.loadDocuments("E:\\ideaProject\\liang-ai");
         // for simplicity, we will use an in-memory one:
@@ -38,7 +45,7 @@ public class AssistantInit {
                 .chatMemoryProvider(memoryId -> MessageWindowChatMemory.withMaxMessages(10))
                 .chatLanguageModel(qwenModel)
                 .contentRetriever(EmbeddingStoreContentRetriever.from(embeddingStore))
-                .tools(new MyCalculator())
+//                .tools(new MyCalculator())
                 .build();
     }
 }

src/main/resources/application.properties

@@ -2,3 +2,7 @@ server.port=8080
 
 langchain4j.community.dashscope.chat-model.api-key=sk-2f703a41fff0488e9b6888013d2ee58a
 langchain4j.community.dashscope.chat-model.model-name=deepseek-v3
+
+
+langchain4j.api-key=sk-2f703a41fff0488e9b6888013d2ee58a
+langchain4j.model=deepseek-v3