AI接口支持流式调用

backend-single/src/main/java/com/emotion/service/impl/AiChatServiceImpl.java

@@ -13,6 +13,8 @@ import com.emotion.service.ConversationService;
 import com.emotion.service.CozeApiCallService;
 import com.emotion.service.EmotionRecordService;
 import com.emotion.service.EmotionAnalysisService;
+import com.emotion.service.AiConfigService;
+import com.emotion.entity.AiConfig;
 import com.emotion.dto.request.*;
 import com.emotion.dto.response.*;
 import com.emotion.util.SnowflakeIdGenerator;
@@ -41,6 +43,7 @@ import java.util.List;
 import java.util.Map;
 import java.util.UUID;
 import java.util.Arrays;
+import java.util.stream.Collectors;
 
 /**
  * AI聊天服务实现类
@@ -73,38 +76,16 @@ public class AiChatServiceImpl implements AiChatService {
     @Autowired
     private SnowflakeIdGenerator snowflakeIdGenerator;
 
-    @Value("${emotion.coze.api.token:}")
+    @Autowired
-    private String cozeApiToken;
+    private AiConfigService aiConfigService;
-
-    @Value("${emotion.coze.api.base-url:https://api.coze.cn}")
-    private String cozeBaseUrl;
-
-    @Value("${emotion.coze.api.chat.path:/v3/chat}")
-    private String chatPath;
-
-    @Value("${emotion.coze.api.chat.talk.bot-id:}")
-    private String chatBotId;
-
-    @Value("${emotion.coze.api.chat.talk.workflow-id:}")
-    private String chatWorkflowId;
-
-    @Value("${emotion.coze.api.chat.summary.bot-id:}")
-    private String summaryBotId;
-
-    @Value("${emotion.coze.api.chat.summary.workflow-id:}")
-    private String summaryWorkflowId;
-
-    @Value("${emotion.coze.api.timeout:30000}")
-    private int timeout;
-
-    @Value("${emotion.coze.api.retry-count:3}")
-    private int retryCount;
-
-    @Value("${emotion.coze.api.retry-delay:1000}")
-    private int retryDelay;
 
     private static final String DEFAULT_USER_ID = "emotion-museum-user";
     
+    // 使用场景常量
+    private static final String USAGE_SCENARIO_CHAT = "chat";
+    private static final String USAGE_SCENARIO_SUMMARY = "summary";
+    private static final String DEFAULT_ENVIRONMENT = "production";
+
     // API 相关常量
     private static final String CONTENT_KEY = "content";
     private static final String ROLE_KEY = "role";
@@ -494,13 +475,20 @@ public class AiChatServiceImpl implements AiChatService {
     @Override
     public boolean healthCheck() {
         try {
-            // 简化健康检查 - 检查必要配置是否存在
+            // 检查聊天场景的AI配置是否存在
-            boolean configValid = cozeApiToken != null && !cozeApiToken.trim().isEmpty() &&
+            AiConfig chatConfig = aiConfigService.getBestConfig(USAGE_SCENARIO_CHAT, DEFAULT_ENVIRONMENT);
-                    chatBotId != null && !chatBotId.trim().isEmpty() &&
+            if (chatConfig == null) {
-                    cozeBaseUrl != null && !cozeBaseUrl.trim().isEmpty();
+                log.warn("未找到聊天场景的AI配置");
+                return false;
+            }
+
+            // 检查必要配置是否完整
+            boolean configValid = chatConfig.getApiToken() != null && !chatConfig.getApiToken().trim().isEmpty() &&
+                    chatConfig.getBotId() != null && !chatConfig.getBotId().trim().isEmpty() &&
+                    chatConfig.getApiBaseUrl() != null && !chatConfig.getApiBaseUrl().trim().isEmpty();
 
             if (!configValid) {
-                log.warn("Coze API 配置不完整");
+                log.warn("AI配置不完整: configId={}", chatConfig.getId());
                 return false;
             }
 
@@ -587,65 +575,89 @@ public class AiChatServiceImpl implements AiChatService {
         CozeApiCall apiCall = createSummaryApiCallRecord(conversationId, null, userMessage, userId, "summary");
 
         try {
-            // 构建请求头
+            return executeSummaryCozeApiCall(apiCall, conversationId, userMessage, userId);
-            HttpHeaders headers = new HttpHeaders();
-            headers.set("Authorization", "Bearer " + cozeApiToken);
-            headers.set("Content-Type", "application/json");
-
-            // 构建请求体 - 使用总结专用的bot和workflow
-            Map<String, Object> requestBody = buildSummaryRequest(conversationId, userMessage, userId);
-
-            // 更新API调用记录的请求信息
-            updateApiCallRequest(apiCall, cozeBaseUrl + chatPath, requestBody, headers);
-
-            HttpEntity<Map<String, Object>> request = new HttpEntity<>(requestBody, headers);
-
-            // 构建完整的API URL
-            String cozeApiUrl = cozeBaseUrl + chatPath;
-            log.info("发送Coze总结请求到: {}, 请求体: {}", cozeApiUrl, requestBody);
-
-            // 发送请求
-            ResponseEntity<String> response = restTemplate.exchange(
-                    cozeApiUrl,
-                    HttpMethod.POST,
-                    request,
-                    String.class);
-
-            log.info("收到Coze总结初始响应: {}", response.getBody());
-
-            // 更新API调用记录的响应信息
-            updateApiCallResponse(apiCall, response);
-
-            // 解析响应获取chat_id和conversation_id
-            JSONObject responseJson = JSON.parseObject(response.getBody());
-            String chatId = extractChatIdFromResponse(responseJson);
-            String cozeConversationId = extractConversationIdFromResponse(responseJson);
-
-            if (chatId != null && cozeConversationId != null) {
-                // 更新API调用记录的Coze ID信息
-                updateApiCallCozeIds(apiCall, chatId, cozeConversationId);
-
-                // 轮询聊天状态直到完成并获取回复内容
-                String aiReply = waitForChatCompletionWithTracking(chatId, cozeConversationId, apiCall);
-                log.info("Coze AI总结响应成功: reply={}", aiReply);
-
-                // 更新API调用记录的最终结果
-                updateApiCallSuccess(apiCall, aiReply);
-
-                return aiReply;
-            } else {
-                log.error("无法从Coze总结响应中获取chat_id或conversation_id");
-                updateApiCallError(apiCall, "INVALID_RESPONSE", "无法从Coze总结响应中获取chat_id或conversation_id");
-                return "抱歉，AI总结服务响应异常，请稍后再试。";
-            }
-
         } catch (Exception e) {
-            log.error("发送总结消息到Coze AI失败", e);
+            log.error("发送总结消息失败", e);
-            updateApiCallError(apiCall, "REQUEST_FAILED", e.getMessage());
+            updateApiCallFailure(apiCall, e.getMessage());
             return "抱歉，AI总结服务暂时不可用，请稍后再试。";
         }
     }
 
+    /**
+     * 执行总结Coze API调用的逻辑
+     */
+    private String executeSummaryCozeApiCall(CozeApiCall apiCall, String conversationId, String userMessage, String userId) {
+        // 获取总结场景的AI配置
+        AiConfig config = getSummaryAiConfig();
+        
+        // 构建请求体 - 使用总结专用的bot和workflow
+        Map<String, Object> requestBody = buildSummaryRequest(conversationId, userMessage, userId);
+        
+        // 检查是否使用流式输出
+        boolean useStream = (Boolean) requestBody.get("stream");
+        
+        if (useStream) {
+            return executeStreamCozeApiCall(apiCall, config, requestBody, conversationId, userMessage, userId);
+        } else {
+            return executeSummaryNormalCozeApiCall(apiCall, config, requestBody, conversationId, userMessage, userId);
+        }
+    }
+
+    /**
+     * 执行普通（非流式）总结Coze API调用
+     */
+    private String executeSummaryNormalCozeApiCall(CozeApiCall apiCall, AiConfig config, Map<String, Object> requestBody,
+                                                 String conversationId, String userMessage, String userId) {
+        // 构建请求头
+        HttpHeaders headers = new HttpHeaders();
+        headers.set("Authorization", "Bearer " + config.getApiToken());
+        headers.set("Content-Type", "application/json");
+
+        // 构建完整的API URL
+        String cozeApiUrl = config.getApiBaseUrl() + getApiPath(config);
+        
+        // 更新API调用记录的请求信息
+        updateApiCallRequest(apiCall, cozeApiUrl, requestBody, headers);
+
+        HttpEntity<Map<String, Object>> request = new HttpEntity<>(requestBody, headers);
+        log.info("发送Coze总结请求到: {}, 请求体: {}", cozeApiUrl, requestBody);
+
+        // 发送请求
+        ResponseEntity<String> response = restTemplate.exchange(
+                cozeApiUrl,
+                HttpMethod.POST,
+                request,
+                String.class);
+
+        log.info("收到Coze总结初始响应: {}", response.getBody());
+
+        // 更新API调用记录的响应信息
+        updateApiCallResponse(apiCall, response);
+
+        // 解析响应获取chat_id和conversation_id
+        JSONObject responseJson = JSON.parseObject(response.getBody());
+        String chatId = extractChatIdFromResponse(responseJson);
+        String cozeConversationId = extractConversationIdFromResponse(responseJson);
+
+        if (chatId != null && cozeConversationId != null) {
+            // 更新API调用记录的Coze ID信息
+            updateApiCallCozeIds(apiCall, chatId, cozeConversationId);
+
+            // 轮询聊天状态直到完成并获取回复内容
+            String aiReply = waitForChatCompletionWithTracking(chatId, cozeConversationId, apiCall);
+            log.info("Coze AI总结响应成功: reply={}", aiReply);
+
+            // 更新API调用记录的最终结果
+            updateApiCallSuccess(apiCall, aiReply);
+
+            return aiReply;
+        } else {
+            log.error("无法从Coze总结响应中获取chat_id或conversation_id");
+            updateApiCallError(apiCall, "INVALID_RESPONSE", "无法从Coze总结响应中获取chat_id或conversation_id");
+            return "抱歉，AI总结服务响应异常，请稍后再试。";
+        }
+    }
+
     @Override
     public EmotionSummaryGenerateResponse generateEmotionSummaryWithResponse(String userId) {
         log.info("生成用户情绪记录总结: userId={}", userId);
@@ -719,9 +731,11 @@ public class AiChatServiceImpl implements AiChatService {
 
     public boolean isServiceAvailable() {
         try {
-            // 简单的健康检查
+            // 检查聊天场景的AI配置是否可用
-            return cozeApiToken != null && !cozeApiToken.isEmpty() &&
+            AiConfig chatConfig = aiConfigService.getBestConfig(USAGE_SCENARIO_CHAT, DEFAULT_ENVIRONMENT);
-                    chatBotId != null && !chatBotId.isEmpty();
+            return chatConfig != null && 
+                   chatConfig.getApiToken() != null && !chatConfig.getApiToken().isEmpty() &&
+                   chatConfig.getBotId() != null && !chatConfig.getBotId().isEmpty();
         } catch (Exception e) {
             log.error("检查AI服务可用性失败", e);
             return false;
@@ -751,22 +765,40 @@ public class AiChatServiceImpl implements AiChatService {
      * 执行Coze API调用的公共逻辑
      */
     private String executeCozeApiCall(CozeApiCall apiCall, String conversationId, String userMessage, String userId) {
-        // 构建请求头
+        // 获取聊天场景的AI配置
-        HttpHeaders headers = new HttpHeaders();
+        AiConfig config = getChatAiConfig();
-        headers.set("Authorization", "Bearer " + cozeApiToken);
-        headers.set("Content-Type", "application/json");
         
         // 构建请求体 - 使用正确的Coze API格式
-        Map<String, Object> requestBody = buildCozeRequest(conversationId, userMessage, userId);
+        Map<String, Object> requestBody = buildCozeRequestWithConfig(conversationId, userMessage, userId, config);
         
-        // 更新API调用记录的请求信息
+        // 检查是否使用流式输出
-        updateApiCallRequest(apiCall, cozeBaseUrl + chatPath, requestBody, headers);
+        boolean useStream = (Boolean) requestBody.get("stream");
         
-        HttpEntity<Map<String, Object>> request = new HttpEntity<>(requestBody, headers);
+        if (useStream) {
+            return executeStreamCozeApiCall(apiCall, config, requestBody, conversationId, userMessage, userId);
+        } else {
+            return executeNormalCozeApiCall(apiCall, config, requestBody, conversationId, userMessage, userId);
+        }
+    }
+
+    /**
+     * 执行普通（非流式）Coze API调用
+     */
+    private String executeNormalCozeApiCall(CozeApiCall apiCall, AiConfig config, Map<String, Object> requestBody, 
+                                          String conversationId, String userMessage, String userId) {
+        // 构建请求头
+        HttpHeaders headers = new HttpHeaders();
+        headers.set("Authorization", "Bearer " + config.getApiToken());
+        headers.set("Content-Type", "application/json");
 
         // 构建完整的API URL
-        String cozeApiUrl = cozeBaseUrl + chatPath;
+        String cozeApiUrl = config.getApiBaseUrl() + getApiPath(config);
-        log.info("发送Coze请求到: {}, 请求体: {}", cozeApiUrl, requestBody);
+        
+        // 更新API调用记录的请求信息
+        updateApiCallRequest(apiCall, cozeApiUrl, requestBody, headers);
+
+        HttpEntity<Map<String, Object>> request = new HttpEntity<>(requestBody, headers);
+        log.info("发送Coze普通请求到: {}, 请求体: {}", cozeApiUrl, requestBody);
 
         // 发送请求
         ResponseEntity<String> response = restTemplate.exchange(
@@ -791,7 +823,7 @@ public class AiChatServiceImpl implements AiChatService {
 
             // 轮询聊天状态直到完成并获取回复内容
             String aiReply = waitForChatCompletionWithTracking(chatId, cozeConversationId, apiCall);
-            log.info("Coze AI响应成功: reply={}", aiReply);
+            log.info("Coze AI普通响应成功: reply={}", aiReply);
 
             // 更新API调用记录的最终结果
             updateApiCallSuccess(apiCall, aiReply);
@@ -804,6 +836,165 @@ public class AiChatServiceImpl implements AiChatService {
         }
     }
 
+    /**
+     * 执行流式Coze API调用
+     */
+    private String executeStreamCozeApiCall(CozeApiCall apiCall, AiConfig config, Map<String, Object> requestBody,
+                                          String conversationId, String userMessage, String userId) {
+        try {
+            // 构建请求头
+            HttpHeaders headers = new HttpHeaders();
+            headers.set("Authorization", "Bearer " + config.getApiToken());
+            headers.set("Content-Type", "application/json");
+            headers.set("Accept", "text/event-stream");
+
+            // 构建完整的API URL
+            String cozeApiUrl = config.getApiBaseUrl() + getApiPath(config);
+            
+            // 更新API调用记录的请求信息
+            updateApiCallRequest(apiCall, cozeApiUrl, requestBody, headers);
+
+            log.info("发送Coze流式请求到: {}, 请求体: {}", cozeApiUrl, requestBody);
+
+            // 使用RestTemplate处理流式响应
+            String streamResponse = handleStreamResponse(cozeApiUrl, headers, requestBody, apiCall);
+            
+            log.info("Coze AI流式响应完成: length={}", streamResponse != null ? streamResponse.length() : 0);
+
+            // 更新API调用记录的最终结果
+            updateApiCallSuccess(apiCall, streamResponse);
+
+            return streamResponse;
+
+        } catch (Exception e) {
+            log.error("流式API调用失败", e);
+            updateApiCallError(apiCall, "STREAM_ERROR", e.getMessage());
+            return "抱歉，AI流式服务暂时不可用，请稍后再试。";
+        }
+    }
+
+    /**
+     * 处理流式响应
+     */
+    private String handleStreamResponse(String url, HttpHeaders headers, Map<String, Object> requestBody, CozeApiCall apiCall) {
+        try {
+            // 创建HTTP客户端
+            java.net.http.HttpClient client = java.net.http.HttpClient.newBuilder()
+                    .connectTimeout(java.time.Duration.ofSeconds(30))
+                    .build();
+
+            // 构建请求
+            java.net.http.HttpRequest.Builder requestBuilder = java.net.http.HttpRequest.newBuilder()
+                    .uri(java.net.URI.create(url))
+                    .timeout(java.time.Duration.ofMinutes(5))
+                    .POST(java.net.http.HttpRequest.BodyPublishers.ofString(JSON.toJSONString(requestBody)));
+
+            // 添加请求头
+            headers.forEach((key, values) -> {
+                if (values != null && !values.isEmpty()) {
+                    requestBuilder.header(key, values.get(0));
+                }
+            });
+
+            java.net.http.HttpRequest request = requestBuilder.build();
+
+            // 发送请求并处理流式响应
+            StringBuilder responseBuilder = new StringBuilder();
+            StringBuilder fullStreamData = new StringBuilder();
+            
+            java.net.http.HttpResponse<java.util.stream.Stream<String>> response = client.send(request,
+                    java.net.http.HttpResponse.BodyHandlers.ofLines());
+
+            log.info("流式响应状态码: {}", response.statusCode());
+
+            if (response.statusCode() != 200) {
+                String errorBody = response.body().collect(java.util.stream.Collectors.joining("\n"));
+                log.error("流式请求失败，状态码: {}, 响应: {}", response.statusCode(), errorBody);
+                return "流式请求失败，状态码: " + response.statusCode();
+            }
+
+            // 处理流式数据
+            response.body().forEach(line -> {
+                fullStreamData.append(line).append("\n");
+                
+                if (line.startsWith("data: ")) {
+                    String data = line.substring(6).trim();
+                    
+                    if ("[DONE]".equals(data)) {
+                        log.info("流式响应完成");
+                        return;
+                    }
+                    
+                    try {
+                        JSONObject jsonData = JSON.parseObject(data);
+                        
+                        // 提取消息内容
+                        if (jsonData.containsKey("choices")) {
+                            com.alibaba.fastjson2.JSONArray choices = jsonData.getJSONArray("choices");
+                            if (choices != null && !choices.isEmpty()) {
+                                JSONObject choice = choices.getJSONObject(0);
+                                if (choice != null && choice.containsKey("delta")) {
+                                    JSONObject delta = choice.getJSONObject("delta");
+                                    if (delta != null && delta.containsKey("content")) {
+                                        String content = delta.getString("content");
+                                        if (content != null) {
+                                            responseBuilder.append(content);
+                                        }
+                                    }
+                                }
+                            }
+                        }
+                        
+                        // Coze特定格式处理
+                        if (jsonData.containsKey("event")) {
+                            String event = jsonData.getString("event");
+                            if ("conversation.message.delta".equals(event) && jsonData.containsKey("data")) {
+                                JSONObject eventData = jsonData.getJSONObject("data");
+                                if (eventData != null && eventData.containsKey("content")) {
+                                    String content = eventData.getString("content");
+                                    if (content != null) {
+                                        responseBuilder.append(content);
+                                    }
+                                }
+                            }
+                        }
+                        
+                    } catch (Exception e) {
+                        log.warn("解析流式数据失败: {}, 数据: {}", e.getMessage(), data);
+                    }
+                }
+            });
+
+            // 记录完整的流式数据用于调试
+            updateApiCallStreamData(apiCall, fullStreamData.toString());
+
+            String finalResponse = responseBuilder.toString();
+            if (finalResponse.isEmpty()) {
+                log.warn("流式响应为空，返回默认消息");
+                return "收到了流式响应，但内容为空。";
+            }
+
+            return finalResponse;
+
+        } catch (Exception e) {
+            log.error("处理流式响应失败", e);
+            throw new RuntimeException("处理流式响应失败: " + e.getMessage(), e);
+        }
+    }
+
+    /**
+     * 更新API调用记录的流式数据
+     */
+    private void updateApiCallStreamData(CozeApiCall apiCall, String streamData) {
+        try {
+            // 可以将流式数据存储到响应体字段中，用于调试和分析
+            apiCall.setResponseBody(streamData);
+            cozeApiCallService.updateById(apiCall);
+        } catch (Exception e) {
+            log.error("更新API调用记录流式数据失败: {}", e.getMessage(), e);
+        }
+    }
+
     public Map<String, Object> guestChat(String message, String clientIp) {
         log.info("访客聊天: message={}, clientIp={}", message, clientIp);
 
@@ -883,16 +1074,28 @@ public class AiChatServiceImpl implements AiChatService {
      * 构建Coze API请求 - 根据官方文档修正格式
      */
     private Map<String, Object> buildCozeRequest(String conversationId, String userMessage, String userId) {
+        // 获取聊天场景的AI配置
+        AiConfig config = getChatAiConfig();
+        return buildCozeRequestWithConfig(conversationId, userMessage, userId, config);
+    }
+
+    /**
+     * 使用指定配置构建Coze API请求
+     */
+    private Map<String, Object> buildCozeRequestWithConfig(String conversationId, String userMessage, String userId, AiConfig config) {
         Map<String, Object> cozeRequest = new HashMap<>();
-        cozeRequest.put("bot_id", chatBotId);
+        cozeRequest.put("bot_id", config.getBotId());
 
         // 如果有workflow_id，则添加
-        if (chatWorkflowId != null && !chatWorkflowId.trim().isEmpty()) {
+        if (config.getWorkflowId() != null && !config.getWorkflowId().trim().isEmpty()) {
-            cozeRequest.put("workflow_id", chatWorkflowId);
+            cozeRequest.put("workflow_id", config.getWorkflowId());
         }
 
         cozeRequest.put("user_id", userId != null ? userId : DEFAULT_USER_ID);
-        cozeRequest.put("stream", false);
+        
+        // 根据配置决定是否使用流式输出
+        boolean useStream = config.getSupportStream() != null && config.getSupportStream() == 1;
+        cozeRequest.put("stream", useStream);
 
         // 构建消息列表 - 按照 Coze API 标准格式
         java.util.List<Map<String, Object>> messages = new java.util.ArrayList<>();
@@ -944,6 +1147,9 @@ public class AiChatServiceImpl implements AiChatService {
      */
     private String waitForChatCompletion(String chatId, String conversationId) {
         try {
+            // 获取聊天场景的AI配置
+            AiConfig config = getChatAiConfig();
+            
             // 最多等待30秒，每2秒轮询一次
             int maxAttempts = 15;
             int attempt = 0;
@@ -952,12 +1158,12 @@ public class AiChatServiceImpl implements AiChatService {
                 log.info("轮询聊天状态，第{}次尝试: chatId={}, conversationId={}", attempt + 1, chatId, conversationId);
 
                 // 构建状态查询URL
-                String statusUrl = cozeBaseUrl + "/v3/chat/retrieve?chat_id=" + chatId + "&conversation_id="
+                String statusUrl = config.getApiBaseUrl() + "/v3/chat/retrieve?chat_id=" + chatId + "&conversation_id="
                         + conversationId;
 
                 // 构建请求头
                 HttpHeaders headers = new HttpHeaders();
-                headers.set("Authorization", "Bearer " + cozeApiToken);
+                headers.set("Authorization", "Bearer " + config.getApiToken());
                 headers.set("Content-Type", "application/json");
 
                 HttpEntity<String> request = new HttpEntity<>(headers);
@@ -1009,15 +1215,18 @@ public class AiChatServiceImpl implements AiChatService {
      */
     private String getChatMessages(String chatId, String conversationId) {
         try {
+            // 获取聊天场景的AI配置
+            AiConfig config = getChatAiConfig();
+            
             log.info("获取聊天消息: chatId={}, conversationId={}", chatId, conversationId);
 
             // 构建消息查询URL
-            String messagesUrl = cozeBaseUrl + "/v3/chat/message/list?chat_id=" + chatId + "&conversation_id="
+            String messagesUrl = config.getApiBaseUrl() + "/v3/chat/message/list?chat_id=" + chatId + "&conversation_id="
                     + conversationId;
 
             // 构建请求头
             HttpHeaders headers = new HttpHeaders();
-            headers.set("Authorization", "Bearer " + cozeApiToken);
+            headers.set("Authorization", "Bearer " + config.getApiToken());
             headers.set("Content-Type", "application/json");
 
             HttpEntity<String> request = new HttpEntity<>(headers);
@@ -1067,16 +1276,22 @@ public class AiChatServiceImpl implements AiChatService {
      * 构建总结请求 - 使用专门的总结bot和workflow
      */
     private Map<String, Object> buildSummaryRequest(String conversationId, String userMessage, String userId) {
-        Map<String, Object> cozeRequest = new HashMap<>();
+        // 获取总结场景的AI配置
-        cozeRequest.put("bot_id", summaryBotId != null && !summaryBotId.trim().isEmpty() ? summaryBotId : chatBotId);
+        AiConfig config = getSummaryAiConfig();
         
-        // 如果有总结workflow_id，则添加
+        Map<String, Object> cozeRequest = new HashMap<>();
-        if (summaryWorkflowId != null && !summaryWorkflowId.trim().isEmpty()) {
+        cozeRequest.put("bot_id", config.getBotId());
-            cozeRequest.put("workflow_id", summaryWorkflowId);
+
+        // 如果有workflow_id，则添加
+        if (config.getWorkflowId() != null && !config.getWorkflowId().trim().isEmpty()) {
+            cozeRequest.put("workflow_id", config.getWorkflowId());
         }
 
         cozeRequest.put("user_id", userId != null ? userId : DEFAULT_USER_ID);
-        cozeRequest.put("stream", false);
+        
+        // 根据配置决定是否使用流式输出
+        boolean useStream = config.getSupportStream() != null && config.getSupportStream() == 1;
+        cozeRequest.put("stream", useStream);
         cozeRequest.put("auto_save_history", true);
 
         // 如果有会话ID，则添加
@@ -1118,6 +1333,9 @@ public class AiChatServiceImpl implements AiChatService {
      */
     private CozeApiCall createApiCallRecord(String conversationId, String messageId, String userMessage, String userId,
             String requestType) {
+        // 获取聊天场景的AI配置
+        AiConfig config = getChatAiConfig();
+        
         CozeApiCall apiCall = CozeApiCall.builder()
                 .conversationId(conversationId)
                 .messageId(messageId) // 设置messageId
@@ -1125,8 +1343,8 @@ public class AiChatServiceImpl implements AiChatService {
                 .requestType(requestType)
                 .userMessage(userMessage)
                 .userMessageType("text")
-                .botId(chatBotId)
+                .botId(config.getBotId())
-                .workflowId(chatWorkflowId)
+                .workflowId(config.getWorkflowId())
                 .status("pending")
                 .startTime(LocalDateTime.now())
                 .traceId(UUID.randomUUID().toString())
@@ -1158,6 +1376,9 @@ public class AiChatServiceImpl implements AiChatService {
      */
     private CozeApiCall createSummaryApiCallRecord(String conversationId, String messageId, String userMessage,
             String userId, String requestType) {
+        // 获取总结场景的AI配置
+        AiConfig config = getSummaryAiConfig();
+        
         CozeApiCall apiCall = CozeApiCall.builder()
                 .conversationId(conversationId)
                 .messageId(messageId) // 设置messageId
@@ -1165,8 +1386,8 @@ public class AiChatServiceImpl implements AiChatService {
                 .requestType(requestType)
                 .userMessage(userMessage)
                 .userMessageType("text")
-                .botId(summaryBotId)
+                .botId(config.getBotId())
-                .workflowId(summaryWorkflowId)
+                .workflowId(config.getWorkflowId())
                 .status("pending")
                 .startTime(LocalDateTime.now())
                 .traceId(UUID.randomUUID().toString())
@@ -1505,4 +1726,36 @@ public class AiChatServiceImpl implements AiChatService {
         return record;
     }
 
+    /**
+     * 获取聊天场景的AI配置
+     */
+    private AiConfig getChatAiConfig() {
+        AiConfig config = aiConfigService.getBestConfig(USAGE_SCENARIO_CHAT, DEFAULT_ENVIRONMENT);
+        if (config == null) {
+            log.error("未找到聊天场景的AI配置");
+            throw new RuntimeException("未找到聊天场景的AI配置，请先在管理后台配置");
+        }
+        return config;
+    }
+
+    /**
+     * 获取总结场景的AI配置
+     */
+    private AiConfig getSummaryAiConfig() {
+        AiConfig config = aiConfigService.getBestConfig(USAGE_SCENARIO_SUMMARY, DEFAULT_ENVIRONMENT);
+        if (config == null) {
+            log.warn("未找到总结场景的AI配置，使用聊天配置");
+            return getChatAiConfig();
+        }
+        return config;
+    }
+
+    /**
+     * 获取配置的API路径
+     */
+    private String getApiPath(AiConfig config) {
+        // 默认使用 /v3/chat 路径
+        return "/v3/chat";
+    }
+
 }

web-admin/src/views/aiconfig/AiConfigList.vue

@@ -549,6 +549,28 @@
                   <el-input v-model="testRequest.url" readonly />
                 </el-form-item>
                 
+                <el-form-item label="测试选项">
+                  <div class="test-options">
+                    <el-checkbox 
+                      v-model="testOptions.useStream" 
+                      @change="updateTestRequestBody"
+                    >
+                      启用流式响应
+                    </el-checkbox>
+                    <el-tooltip content="启用后将测试流式返回，可以看到AI逐步生成的响应内容" placement="top">
+                      <el-icon class="info-icon"><InfoFilled /></el-icon>
+                    </el-tooltip>
+                  </div>
+                </el-form-item>
+                
+                <el-form-item label="测试消息">
+                  <el-input
+                    v-model="testOptions.testMessage"
+                    placeholder="输入测试消息内容"
+                    @input="updateTestRequestBody"
+                  />
+                </el-form-item>
+                
                 <el-form-item label="请求头">
                   <el-input
                     v-model="testRequest.headers"
@@ -562,14 +584,14 @@
                   <el-input
                     v-model="testRequest.body"
                     type="textarea"
-                    :rows="12"
+                    :rows="10"
                     placeholder="JSON格式的请求体"
                   />
                 </el-form-item>
                 
                 <el-form-item>
                   <el-button type="primary" @click="handleTestRequest" :loading="testLoading">
-                    发送测试请求
+                    {{ testOptions.useStream ? '发送流式测试' : '发送测试请求' }}
                   </el-button>
                   <el-button @click="handleFormatRequest">格式化请求</el-button>
                   <el-button @click="handleResetTest">重置</el-button>
@@ -625,6 +647,7 @@
 <script setup lang="ts">
 import { ref, reactive, onMounted } from 'vue'
 import { ElMessage, ElMessageBox, type FormInstance, type FormRules } from 'element-plus'
+import { InfoFilled } from '@element-plus/icons-vue'
 import { 
   getAiConfigPage, 
   createAiConfig, 
@@ -746,6 +769,11 @@ const testResponse = reactive({
   body: ''
 })
 
+const testOptions = reactive({
+  useStream: false,
+  testMessage: '你好，这是一个测试消息，请回复确认接口正常工作。'
+})
+
 // 获取配置类型标签类型
 const getConfigTypeTagType = (type: string) => {
   const typeMap: Record<string, string> = {
@@ -1078,11 +1106,11 @@ const initTestData = (config: AiConfig) => {
   const requestBody: any = {
     bot_id: config.botId || '',
     user_id: 'test_user_' + Date.now(),
-    stream: false,
+    stream: testOptions.useStream,
     additional_messages: [
       {
         role: 'user',
-        content: '你好，这是一个测试消息，请回复确认接口正常工作。',
+        content: testOptions.testMessage,
         content_type: 'text',
         type: 'question'
       }
@@ -1113,6 +1141,20 @@ const initTestData = (config: AiConfig) => {
   testResponse.body = ''
 }
 
+// 更新测试请求体
+const updateTestRequestBody = () => {
+  if (!testConfig.value) return
+  
+  try {
+    const body = JSON.parse(testRequest.body)
+    body.stream = testOptions.useStream
+    body.additional_messages[0].content = testOptions.testMessage
+    testRequest.body = JSON.stringify(body, null, 2)
+  } catch (e) {
+    console.warn('更新请求体失败:', e)
+  }
+}
+
 // 发送测试请求
 const handleTestRequest = async () => {
   if (!testConfig.value) return
@@ -1138,39 +1180,15 @@ const handleTestRequest = async () => {
       return
     }
     
-    // 发送请求
+    // 检查是否为流式请求
-    const response = await fetch(testRequest.url, {
+    const isStreamRequest = body.stream === true
-      method: 'POST',
-      headers: headers,
-      body: JSON.stringify(body)
-    })
     
-    // 获取响应头
+    if (isStreamRequest) {
-    const responseHeaders: any = {}
+      // 处理流式请求
-    response.headers.forEach((value, key) => {
+      await handleStreamRequest(headers, body)
-      responseHeaders[key] = value
-    })
-    
-    // 获取响应体
-    const responseBody = await response.text()
-    
-    // 更新响应数据
-    testResponse.status = response.status
-    testResponse.headers = JSON.stringify(responseHeaders, null, 2)
-    testResponse.body = responseBody
-    
-    // 尝试格式化响应体
-    try {
-      const jsonBody = JSON.parse(responseBody)
-      testResponse.body = JSON.stringify(jsonBody, null, 2)
-    } catch (e) {
-      // 如果不是JSON格式，保持原样
-    }
-    
-    if (response.ok) {
-      ElMessage.success('测试请求发送成功')
     } else {
-      ElMessage.warning(`请求返回状态码: ${response.status}`)
+      // 处理普通请求
+      await handleNormalRequest(headers, body)
     }
     
   } catch (error: any) {
@@ -1190,6 +1208,165 @@ const handleTestRequest = async () => {
   }
 }
 
+// 处理普通请求
+const handleNormalRequest = async (headers: any, body: any) => {
+  const response = await fetch(testRequest.url, {
+    method: 'POST',
+    headers: headers,
+    body: JSON.stringify(body)
+  })
+  
+  // 获取响应头
+  const responseHeaders: any = {}
+  response.headers.forEach((value, key) => {
+    responseHeaders[key] = value
+  })
+  
+  // 获取响应体
+  const responseBody = await response.text()
+  
+  // 更新响应数据
+  testResponse.status = response.status
+  testResponse.headers = JSON.stringify(responseHeaders, null, 2)
+  testResponse.body = responseBody
+  
+  // 尝试格式化响应体
+  try {
+    const jsonBody = JSON.parse(responseBody)
+    testResponse.body = JSON.stringify(jsonBody, null, 2)
+  } catch (e) {
+    // 如果不是JSON格式，保持原样
+  }
+  
+  if (response.ok) {
+    ElMessage.success('测试请求发送成功')
+  } else {
+    ElMessage.warning(`请求返回状态码: ${response.status}`)
+  }
+}
+
+// 处理流式请求
+const handleStreamRequest = async (headers: any, body: any) => {
+  const response = await fetch(testRequest.url, {
+    method: 'POST',
+    headers: headers,
+    body: JSON.stringify(body)
+  })
+  
+  // 获取响应头
+  const responseHeaders: any = {}
+  response.headers.forEach((value, key) => {
+    responseHeaders[key] = value
+  })
+  
+  testResponse.status = response.status
+  testResponse.headers = JSON.stringify(responseHeaders, null, 2)
+  
+  if (!response.ok) {
+    const errorBody = await response.text()
+    testResponse.body = errorBody
+    ElMessage.warning(`请求返回状态码: ${response.status}`)
+    return
+  }
+  
+  if (!response.body) {
+    testResponse.body = 'Error: 响应体为空'
+    ElMessage.error('响应体为空')
+    return
+  }
+  
+  // 处理流式响应
+  const reader = response.body.getReader()
+  const decoder = new TextDecoder()
+  let streamContent = ''
+  let chunks: string[] = []
+  
+  // 清空响应体，准备接收流式数据
+  testResponse.body = '正在接收流式数据...\n\n'
+  
+  try {
+    while (true) {
+      const { done, value } = await reader.read()
+      
+      if (done) {
+        break
+      }
+      
+      // 解码数据块
+      const chunk = decoder.decode(value, { stream: true })
+      streamContent += chunk
+      chunks.push(chunk)
+      
+      // 实时更新响应体显示
+      testResponse.body = `=== 流式响应数据 ===\n\n` +
+        `接收到 ${chunks.length} 个数据块，总长度: ${streamContent.length} 字符\n\n` +
+        `=== 原始数据流 ===\n${streamContent}\n\n` +
+        `=== 解析后的数据 ===\n${parseStreamData(streamContent)}`
+    }
+    
+    ElMessage.success(`流式请求完成，共接收 ${chunks.length} 个数据块`)
+    
+  } catch (streamError: any) {
+    console.error('流式数据读取失败:', streamError)
+    testResponse.body += `\n\n=== 流式读取错误 ===\n${streamError.message || streamError}`
+    ElMessage.error('流式数据读取失败: ' + (streamError.message || streamError))
+  } finally {
+    reader.releaseLock()
+  }
+}
+
+// 解析流式数据
+const parseStreamData = (streamContent: string): string => {
+  try {
+    const lines = streamContent.split('\n')
+    const parsedData: any[] = []
+    let currentEvent = ''
+    let currentData = ''
+    
+    for (const line of lines) {
+      if (line.startsWith('event:')) {
+        currentEvent = line.substring(6).trim()
+      } else if (line.startsWith('data:')) {
+        currentData = line.substring(5).trim()
+        
+        if (currentData === '[DONE]') {
+          parsedData.push({
+            event: currentEvent || 'done',
+            data: '[DONE]',
+            timestamp: new Date().toISOString()
+          })
+        } else if (currentData) {
+          try {
+            const jsonData = JSON.parse(currentData)
+            parsedData.push({
+              event: currentEvent || 'data',
+              data: jsonData,
+              timestamp: new Date().toISOString()
+            })
+          } catch (e) {
+            parsedData.push({
+              event: currentEvent || 'raw',
+              data: currentData,
+              timestamp: new Date().toISOString()
+            })
+          }
+        }
+        
+        currentEvent = ''
+        currentData = ''
+      } else if (line.trim() === '') {
+        // 空行，重置状态
+        currentEvent = ''
+        currentData = ''
+      }
+    }
+    
+    return JSON.stringify(parsedData, null, 2)
+  } catch (e) {
+    return `解析失败: ${e}\n\n原始内容:\n${streamContent}`
+  }
+}
+
 // 格式化请求
 const handleFormatRequest = () => {
   try {
@@ -1260,6 +1437,8 @@ const handleTestDialogClose = () => {
   testResponse.status = null
   testResponse.headers = ''
   testResponse.body = ''
+  testOptions.useStream = false
+  testOptions.testMessage = '你好，这是一个测试消息，请回复确认接口正常工作。'
 }
 
 onMounted(() => {
@@ -1321,6 +1500,17 @@ onMounted(() => {
       padding-bottom: 8px;
     }
     
+    .test-options {
+      display: flex;
+      align-items: center;
+      gap: 8px;
+      
+      .info-icon {
+        color: #909399;
+        cursor: help;
+      }
+    }
+    
     .el-textarea {
       :deep(.el-textarea__inner) {
         font-family: 'Monaco', 'Menlo', 'Ubuntu Mono', monospace;