大模型配置

src/main/java/com/cmeeting/job/FileProcessTask.java

@@ -78,6 +78,9 @@ public class FileProcessTask {
     private static final int MAX_RETRY = 3;
 
     private String llmApiAddr;
+    private String llmModel;
+    private String llmToken;
+    private Integer llmMaxTokens;
     private Boolean finalRetry; //表示是兜底重试机制
 
     private MeetingInfoMapper meetingInfoMapper;
@@ -314,55 +317,7 @@ public class FileProcessTask {
      * 提供会议转录文件和会议主题，判断会议类型
      *
      * @param subject 会议主题
-     * @return String token = "AKIAXFAXF62IWJXGLVEE.LnKInaahcMZG9zLsGMH3nTLOw3S3lK5Vcu0+ifnO";
-     * String apiAddr = llmApiAddr + "/llm/sse-invoke";
-     * String model = "arn:aws:bedrock:us-east-1:491822380689:inference-profile/us.anthropic.claude-3-7-sonnet-20250219-v1:0";
-     * int maxTokens = 5000;
-     * //        String prompt = "请先对以下会议转写记录进行简要总结（不超过200字），然后根据会议主题以及总结内容判断该会议最可能属于哪种类型：\\n\\n会议主题： {0}\\n会议转写记录： {1}\\n\\n第一步：请简要总结会议的主要内容和目的（不超过200字）。\\n\\n第二步：根据上述总结和会议主题，将会议分类为以下类型之一：\\n1. 项目沟通会 - 与具体项目进展、问题讨论相关的会议\\n2. 重要会议 - 高层决策、战略规划等重要会议\\n3. 启动会 - 项目启动、活动筹备等初始会议\\n4. 其他 - 不符合以上任何分类\\n\\n分类权重判断规则：\\n- 基础权重分配：会议内容总结(70%)、会议主题(30%)\\n- 会议主题权重动态调整：\\n  * 如果会议主题包含明确分类关键词（如\\\"启动会\\\"、\\\"项目沟通\\\"、\\\"战略决策\\\"等），则会议主题权重提升至60%，总结内容权重调整为40%\\n  * 如果会议主题过于简单或模糊（如仅包含\\\"沟通\\\"、\\\"讨论\\\"、\\\"会议\\\"等通用词），则会议主题权重降低至15%，总结内容权重提升至85%\\n- 一致性判断：如果会议主题和总结内容指向不同分类，优先采用内容总结的分类，除非会议主题非常明确且规范\\n\\n输出格式：\\n请只返回分类名称(如\\\"项目沟通会\\\")，不要包含其他内容（如生成的会议总结等）。";
-     * String prompt = "## 角色定义\n" +
-     * "你是一位会议分类师，擅长对各种类型会议进行分类。\n" +
-     * "\n" +
-     * "请对以下会议转写记录进行全面而精炼的总结（尽量控制在500字以内，字数可以根据会议转写记录长度适当进行调整），然后根据会议主题以及总结内容判断该会议属于的类型：\n" +
-     * "\n" +
-     * "会议主题： {subject}\n" +
-     * "会议转写记录： {transcript}\n" +
-     * "\n" +
-     * "识别会议类型步骤如下：\n" +
-     * "第一步：识别会议名称/标题（如：项目例会，数据问题讨论）；如果识别不出来，标注“暂无”；\n" +
-     * "第二步：根据识别出来的会议名称进行分类（如：数据问题讨论，讨论会）。如果会议名称如：快速会议，张三预定的会议，分类为“其他”。如果是暂无，则进入第三步：\n" +
-     * "第三步：总结会议的主要内容和目的（尽量控制在500字以内，字数可以根据会议转写记录长度适当进行调整）。确保涵盖所有关键讨论内容、重要决策和行动项，捕捉所有实质性内容。摘要应当完整反映会议的核心目的，不遗漏重要信息。\n" +
-     * "\n" +
-     * "第三步：根据上述内容和目的总结，将会议分类为以下类型之一：\n" +
-     * "1. 项目例会 - 会议有周期标签。要讨论很多件事情，每件事情讨论时间很短。\n" +
-     * "2. 启动会 - 项目启动、活动筹备等初始会议，各方代表发言。\n" +
-     * "3. 讨论会 - 只针对一到两个事件针对性讨论，可能是讨论方案。\n" +
-     * "4. 其他 - 不符合上面任意一类。\n" +
-     * "\n" +
-     * "\n" +
-     * "输出格式:\n" +
-     * "{{\n" +
-     * "    \"classification\": 类型\n" +
-     * "}}\n" +
-     * "\n" +
-     * "注意：\n" +
-     * "1.请严格按照输出格式以JSON格式返回数据，所有字段都必须包含。\n" +
-     * "2.输出必须是严格有效的JSON格式，可以直接被解析。不要带有json标记，不要包含其他内容。";
-     * //占位符信息替换
-     * String formatPrompt = formatMessage(prompt, subject, transcript);
-     * List<Message> messages = new ArrayList<>();
-     * ChatMessage chatMessage = new ChatMessage(ChatMessageRole.USER.value(), formatPrompt);
-     * messages.add(chatMessage);
-     * <p>
-     * // 调用Claude API处理文件
-     * String response = call_llm(apiAddr, model, token, messages, maxTokens);
-     * JSONObject object = JSONObject.parseObject(response);
-     * String retStr = "通用会议";
-     * if (object != null) {
-     * String classification = object.getString("classification");
-     * if (StrUtil.isNotBlank(classification)) {
-     * retStr = classification;
-     * }
-     * }
+     * @return
      */
     private Long choiceTemplateType(String subject) {
         Long type = 1L;
@@ -397,30 +352,10 @@ public class FileProcessTask {
      * @return
      */
     private String processWithClaude(String textContent, String meetingDate, String participantNames, String prompt) {
-//        //将文件传送给大模型处理
-//        String token = "AKIAXFAXF62IWJXGLVEE.LnKInaahcMZG9zLsGMH3nTLOw3S3lK5Vcu0+ifnO";
-//        String apiAddr = llmApiAddr + "/llm/sse-invoke";
-//        String model = "anthropic.claude-3-5-sonnet-20240620-v1:0";
-//        int maxTokens = 5000;
-//        List<Message> messages = new ArrayList<>();
-//
-//        ChatMessage chatMessage = new ChatMessage(ChatMessageRole.USER.value(), prompt.replaceAll("\\{transcript\\}",textContent).replaceAll("\\{meetingDate\\}",meetingDate));
-//        messages.add(chatMessage);
-////        chatMessage = new ChatMessage(ChatMessageRole.ASSISTANT.value(), "好的请提供会议记录");
-////        messages.add(chatMessage);
-////        chatMessage = new ChatMessage(ChatMessageRole.USER.value(), textContent);
-//
-//        messages.add(chatMessage);
-//
-//        // 调用Claude API处理文件
-//        String ret = call_llm(apiAddr, model, token, messages, maxTokens);
-
-//        String model = "arn:aws:bedrock:us-east-1:491822380689:inference-profile/us.anthropic.claude-3-7-sonnet-20250219-v1:0";
-        String model = "arn:aws:bedrock:us-east-1:491822380689:inference-profile/us.anthropic.claude-3-7-sonnet-20250219-v1:0";
-        LLMConfig baseLLM = new LLMConfig(model,
-                llmApiAddr + "/llm/sse-invoke",
-                "Bearer AKIAXFAXF62IWJXGLVEE.LnKInaahcMZG9zLsGMH3nTLOw3S3lK5Vcu0+ifnO",
-                20000);
+        LLMConfig baseLLM = new LLMConfig(llmModel,
+                llmApiAddr,
+                "Bearer " + llmToken,
+                llmMaxTokens);
         LLMResult llmResult = MeetingProcess.processMeeting(prompt, textContent, meetingDate, participantNames, baseLLM, new ArrayList<>());
 //        DebugOutputTool.println(llmResult.respond);
         return llmResult.respond;
@@ -664,7 +599,7 @@ public class FileProcessTask {
     public FileProcessTask(List<String> recordFileIdList, String meetingId, String subMeetingId, String savePath, Map<String, Object> metadata,
                            MeetingInfoMapper meetingInfoMapper, MinioUtils minioUtils, RedisUtils redisUtils, EmailSender emailSender,
                            MeetingRecordTemplateMapper meetingRecordTemplateMapper, MeetingRecordTemplateService meetingRecordTemplateService, MeetTypeService meetTypeService, UserIdMapper userIdMapper,
-                           String llmApiAddr, Boolean finalRetry, ProcessLogService processLogService, List<UserDTO.TemplateAuthorizedUserDTO> authorizedUsers, Map<String, String> tidWidRelations,
+                           String llmApiAddr, String llmModel, String llmToken, Integer llmMaxTokens, Boolean finalRetry, ProcessLogService processLogService, List<UserDTO.TemplateAuthorizedUserDTO> authorizedUsers, Map<String, String> tidWidRelations,
                            UserAdminConfig userAdminConfig, String applicationId, String fileDownloadPath, String permTenantId,
                            String aesKey) {
         this.recordFileIdList = recordFileIdList;
@@ -681,6 +616,9 @@ public class FileProcessTask {
         this.meetTypeService = meetTypeService;
         this.userIdMapper = userIdMapper;
         this.llmApiAddr = llmApiAddr;
+        this.llmModel = llmModel;
+        this.llmToken = llmToken;
+        this.llmMaxTokens = llmMaxTokens;
         this.finalRetry = finalRetry;
         this.processLogService = processLogService;
         this.authorizedUsers = authorizedUsers;

src/main/java/com/cmeeting/service/FileProcessProducer.java

@@ -40,6 +40,12 @@ public class FileProcessProducer {
     private FileProcessCallbackHandler callbackHandler;
     @Value(value = "${llm.api-addr}")
     private String llmApiAddr;
+    @Value(value = "${llm.api-model}")
+    private String llmModel;
+    @Value(value = "${llm.api-token}")
+    private String llmToken;
+    @Value(value = "${llm.api-max-tokens}")
+    private Integer llmMaxTokens;
     @Value(value = "${tencent.base-save-path}")
     private String baseSavePath;
     @Value("${permission.applicationId}")
@@ -99,6 +105,9 @@ public class FileProcessProducer {
                     meetTypeService,
                     userIdMapper,
                     llmApiAddr,
+                    llmModel,
+                    llmToken,
+                    llmMaxTokens,
                     finalRetry,
                     processLogService,
                     authorizedUsers,

src/main/java/com/cmeeting/service/impl/MeetingInfoServiceImpl.java

@@ -84,6 +84,12 @@ public class MeetingInfoServiceImpl extends ServiceImpl<MeetingInfoMapper, Meeti
     private MinioUtils minioUtils;
     @Value(value = "${llm.api-addr}")
     private String llmApiAddr;
+    @Value(value = "${llm.api-model}")
+    private String llmModel;
+    @Value(value = "${llm.api-token}")
+    private String llmToken;
+    @Value(value = "${llm.api-max-tokens}")
+    private Integer llmMaxTokens;
     @Value("${permission.tenantId}")
     public String permissionTenantId;
     @Resource
@@ -466,17 +472,14 @@ public class MeetingInfoServiceImpl extends ServiceImpl<MeetingInfoMapper, Meeti
      */
     private String processWithClaude(String textContent, String meetingDate, String prompt,String meetingId, String subMeetingId) {
         //将文件传送给大模型处理
-        String token = "AKIAXFAXF62IWJXGLVEE.LnKInaahcMZG9zLsGMH3nTLOw3S3lK5Vcu0+ifnO";
-        String apiAddr = llmApiAddr + "/llm/sse-invoke";
-        String model = "arn:aws:bedrock:us-east-1:491822380689:inference-profile/us.anthropic.claude-3-7-sonnet-20250219-v1:0";
-        int maxTokens = 5000;
+        String token = llmToken;
+        String apiAddr = llmApiAddr;
+        String model = llmModel;
+        int maxTokens = llmMaxTokens;
         List<Message> messages = new ArrayList<>();
 
         ChatMessage chatMessage = new ChatMessage(ChatMessageRole.USER.value(), prompt.replaceAll("\\{transcript\\}",textContent).replaceAll("\\{meetingDate\\}",meetingDate));
         messages.add(chatMessage);
-//        chatMessage = new ChatMessage(ChatMessageRole.ASSISTANT.value(), "好的请提供会议记录");
-//        messages.add(chatMessage);
-//        chatMessage = new ChatMessage(ChatMessageRole.USER.value(), textContent);
 
         messages.add(chatMessage);
 

src/main/java/com/cmeeting/service/impl/RecordTemplatePermissionServiceImpl.java

@@ -66,8 +66,12 @@ public class RecordTemplatePermissionServiceImpl extends ServiceImpl<RecordTempl
     private MinioUtils minioUtils;
     @Value(value = "${llm.api-addr}")
     private String llmApiAddr;
+    @Value(value = "${llm.api-model}")
+    private String llmModel;
     @Value(value = "${llm.api-token}")
-    private String llmApiToken;
+    private String llmToken;
+    @Value(value = "${llm.api-max-tokens}")
+    private Integer llmMaxTokens;
     @Value("${aec.key}")
     public String aesKey;
 
@@ -186,11 +190,10 @@ public class RecordTemplatePermissionServiceImpl extends ServiceImpl<RecordTempl
             }
         }
 
-        String model = "arn:aws:bedrock:us-east-1:491822380689:inference-profile/us.anthropic.claude-3-7-sonnet-20250219-v1:0";
-        LLMConfig baseLLM = new LLMConfig(model,
-                llmApiAddr + "/llm/sse-invoke",
-                "Bearer " + llmApiToken,
-                20000);
+        LLMConfig baseLLM = new LLMConfig(llmModel,
+                llmApiAddr,
+                "Bearer " + llmToken,
+                llmMaxTokens);
         LLMResult llmResult = MeetingProcess.processMeeting(prompt, textContent, meetingDate, participantNames, baseLLM, new ArrayList<>());
         DebugOutputTool.println(llmResult.respond);
 

src/main/resources/application.yml

@@ -13,8 +13,10 @@ REDIS_PASS: standard123
 REDIS_DATABASE: 3
 ############################################################## llm
 # local
-LLM_API_ADDR: https://bedrock.chatbot.cn
-LLM_API_TOKEN: AKIAXFAXF62IWJXGLVEE.LnKInaahcMZG9zLsGMH3nTLOw3S3lK5Vcu0+ifnO
+LLM_API_ADDR: https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions
+LLM_API_MODEL: qwen-plus
+LLM_API_TOKEN: sk-58046ac63cae4317b65fb151965169d1
+LLM_API_MAX_TOKENS: 16000
 
 # prod
 TENCENT_APPID: 210468336
@@ -114,7 +116,9 @@ email:
 
 llm:
   api-addr: ${LLM_API_ADDR}
+  api-model: ${LLM_API_MODEL}
   api-token: ${LLM_API_TOKEN}
+  api-max-tokens: ${LLM_API_MAX_TOKENS}
 
 #解密key
 aec: