Initial commit

langchain4j-ai-tools/src/main/java/com/iwe3/langchain4j/config/LLMConfig.java

@@ -0,0 +1,20 @@
+package com.iwe3.langchain4j.config;
+
+import dev.langchain4j.model.chat.ChatModel;
+import dev.langchain4j.model.openai.OpenAiChatModel;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+@Configuration
+public class LLMConfig {
+
+    @Bean(name = "qwen")
+    public ChatModel chatModelQwen(){
+        /*大模型3件套：apikey ,model-name,base-url */
+        return OpenAiChatModel.builder()
+                .apiKey(System.getenv("DASH_SCOPE_API_KEY"))
+                .modelName("qwen-plus")
+                .baseUrl("https://dashscope.aliyuncs.com/compatible-mode/v1")
+                .build();
+    }
+}

langchain4j-ai-tools/src/main/java/com/iwe3/langchain4j/config/SeparateChatAssistantConfig.java

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+package com.iwe3.langchain4j.config;
+
+import dev.langchain4j.memory.chat.ChatMemoryProvider;
+import dev.langchain4j.memory.chat.MessageWindowChatMemory;
+import dev.langchain4j.store.memory.chat.InMemoryChatMemoryStore;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+@Configuration
+public class SeparateChatAssistantConfig {
+
+    /**
+     * 聊天记忆提供器
+     * 配置：采用memoryId来完成隔离
+     * @return
+     */
+    @Bean
+    ChatMemoryProvider chatMemoryProvider() {
+        return memoryId -> MessageWindowChatMemory.builder()
+                .id(memoryId)
+                .maxMessages(10).chatMemoryStore(new InMemoryChatMemoryStore())
+                .build();
+        //如果未来想自定义 -> 则自己写一个类实现 ChatMemoryStore
+    }
+}