backend/internal/eino/nodes_done.go

@@ -6,8 +6,8 @@ import (
 
 	"github.com/cloudwego/eino/compose"
 
-	"github.com/hhs/camtalk/internal/logger"
 	"github.com/hhs/camtalk/internal/models"
+	"github.com/hhs/camtalk/internal/trace"
 )
 
 // ctxKeyStartTime 请求开始时间的 context key。
@@ -33,7 +33,7 @@ func latencyFromCtx(ctx context.Context) int64 {
 // 历史消息追加由适配器负责（避免重复写入）。
 func NewDoneLambda(defaultModel string) *compose.Lambda {
 	return compose.InvokableLambda(func(ctx context.Context, _ struct{}) (PipelineOutput, error) {
-		log := logger.Log
+		log := trace.FromContext(ctx)
 		sender := senderFromCtx(ctx)
 		state := stateFromCtx(ctx)
 
@@ -70,13 +70,11 @@ func NewDoneLambda(defaultModel string) *compose.Lambda {
 				}
 			}
 			if err := sender.SendLLMDone(done); err != nil {
-				log.Errorw("发送 llm_done 失败", "error", err)
+				log.Errorw("send llm_done failed", "error", err)
 			}
 		}
 
-		log.Infow("查询处理完成",
+		log.Infow("query processing completed", "response_length", len(fullResponse))
-			"request_id", requestID,
-			"response_length", len(fullResponse))
 
 		return PipelineOutput{
 			TranscribedText: transcribedText,

backend/internal/eino/nodes_history.go

@@ -8,9 +8,9 @@ import (
 	"github.com/cloudwego/eino/schema"
 
 	"github.com/hhs/camtalk/internal/ai/llm"
-	"github.com/hhs/camtalk/internal/logger"
 	"github.com/hhs/camtalk/internal/models"
 	"github.com/hhs/camtalk/internal/store"
+	"github.com/hhs/camtalk/internal/trace"
 )
 
 // NewHistoryLambda 创建历史组装 Lambda 节点。
@@ -24,7 +24,7 @@ func NewHistoryLambda(
 	maxHistory int,
 ) *compose.Lambda {
 	return compose.InvokableLambda(func(ctx context.Context, sttOut STTOutput) ([]*schema.Message, error) {
-		log := logger.Log
+		log := trace.FromContext(ctx)
 
 		// 从 State 读取请求元数据
 		state := stateFromCtx(ctx)
@@ -48,7 +48,7 @@ func NewHistoryLambda(
 		if userID != "" && scenarioRepo != nil {
 			scenarios, err := scenarioRepo.FindByUserID(ctx, userID)
 			if err != nil {
-				log.Warnw("加载用户自建情景失败", "user_id", userID, "error", err)
+				log.Warnw("load user scenarios failed", "user_id", userID, "error", err)
 			} else if len(scenarios) > 0 {
 				customScenarios = make(map[string]string, len(scenarios))
 				customGreetings = make(map[string]string, len(scenarios))
@@ -58,7 +58,7 @@ func NewHistoryLambda(
 						customGreetings[s.ID] = s.Greeting
 					}
 				}
-				log.Debugw("加载用户自建情景", "user_id", userID, "count", len(scenarios))
+				log.Debugw("loaded user scenarios", "user_id", userID, "count", len(scenarios))
 			}
 		}
 
@@ -78,7 +78,7 @@ func NewHistoryLambda(
 		if historyFetcher != nil && sessionID != "" {
 			history, err := historyFetcher(ctx, sessionID, maxHistory)
 			if err != nil {
-				log.Warnw("获取历史消息失败，继续处理", "error", err, "request_id", requestID)
+				log.Warnw("fetch history failed, continuing", "error", err, "request_id", requestID)
 			} else {
 				for _, msg := range history {
 					messages = append(messages, &schema.Message{
@@ -121,8 +121,7 @@ func NewHistoryLambda(
 			})
 		}
 
-		log.Infow("历史组装完成",
+		log.Infow("history assembled",
-			"request_id", requestID,
 			"message_count", len(messages),
 			"has_image", len(imageData) > 0,
 			"scenario", scenario)

backend/internal/eino/nodes_stt.go

@@ -8,8 +8,8 @@ import (
 	"github.com/cloudwego/eino/compose"
 
 	"github.com/hhs/camtalk/internal/ai/stt"
-	"github.com/hhs/camtalk/internal/logger"
 	"github.com/hhs/camtalk/internal/models"
+	"github.com/hhs/camtalk/internal/trace"
 	"github.com/hhs/camtalk/internal/util"
 )
 
@@ -21,7 +21,7 @@ import (
 // 识别结果通过 Sender 发送 stt_result 到客户端。
 func NewSTTLambda(sttService stt.Service) *compose.Lambda {
 	return compose.InvokableLambda(func(ctx context.Context, input PipelineInput) (STTOutput, error) {
-		log := logger.Log
+		log := trace.FromContext(ctx)
 		sender := senderFromCtx(ctx)
 		requestID := requestIDFromCtx(ctx)
 
@@ -41,7 +41,6 @@ func NewSTTLambda(sttService stt.Service) *compose.Lambda {
 		// 文本输入模式：跳过 STT
 		if input.Text != "" {
 			log.Debugw("text input mode, skipping stt",
-				"request_id", requestID,
 				"text_len", len(input.Text),
 				"text_preview", util.Truncate(input.Text, 50))
 
@@ -53,7 +52,7 @@ func NewSTTLambda(sttService stt.Service) *compose.Lambda {
 					Text:      input.Text,
 					IsFinal:   true,
 				}); err != nil {
-					log.Errorw("发送 stt_result 失败", "error", err)
+					log.Errorw("send stt_result failed", "error", err)
 				}
 			}
 
@@ -76,8 +75,7 @@ func NewSTTLambda(sttService stt.Service) *compose.Lambda {
 			return STTOutput{}, fmt.Errorf("stt: no audio data provided")
 		}
 
-		log.Infow("开始语音识别",
+		log.Infow("stt recognition started", "audio_bytes", len(input.AudioData))
-			"request_id", requestID, "audio_bytes", len(input.AudioData))
 
 		// 调用 STT 服务
 		text, err := sttService.Recognize(ctx, input.AudioData, stt.Options{
@@ -86,7 +84,7 @@ func NewSTTLambda(sttService stt.Service) *compose.Lambda {
 			Language:   input.Language,
 		})
 		if err != nil {
-			log.Errorw("语音识别失败", "error", err, "request_id", requestID)
+			log.Errorw("stt recognition failed", "error", err)
 			if sender != nil {
 				sender.SendError(models.WsError{
 					Type:      "error",
@@ -100,12 +98,11 @@ func NewSTTLambda(sttService stt.Service) *compose.Lambda {
 
 		// STT 返回空文本
 		if strings.TrimSpace(text) == "" {
-			log.Infow("语音识别结果为空", "request_id", requestID)
+			log.Infow("stt returned empty text")
 			text = "（未识别到语音）"
 		}
 
 		log.Debugw("stt recognition completed",
-			"request_id", requestID,
 			"text_len", len(text),
 			"text_preview", util.Truncate(text, 50))
 
@@ -117,7 +114,7 @@ func NewSTTLambda(sttService stt.Service) *compose.Lambda {
 				Text:      text,
 				IsFinal:   true,
 			}); err != nil {
-				log.Errorw("发送 stt_result 失败", "error", err)
+				log.Errorw("send stt_result failed", "error", err)
 			}
 		}
 

backend/internal/eino/nodes_tts.go

@@ -9,8 +9,8 @@ import (
 	"github.com/cloudwego/eino/schema"
 
 	"github.com/hhs/camtalk/internal/ai/tts"
-	"github.com/hhs/camtalk/internal/logger"
 	"github.com/hhs/camtalk/internal/models"
+	"github.com/hhs/camtalk/internal/trace"
 )
 
 // NewTTSLambda 创建 TTS Transform Lambda 节点。
@@ -26,7 +26,7 @@ func NewTTSLambda(ttsService tts.Service, ttsVoice string, ttsSpeed float64, tts
 			defer sw.Close()
 			defer input.Close()
 
-			log := logger.Log
+			log := trace.FromContext(ctx)
 			sender := senderFromCtx(ctx)
 			requestID := requestIDFromCtx(ctx)
 
@@ -48,7 +48,7 @@ func NewTTSLambda(ttsService tts.Service, ttsVoice string, ttsSpeed float64, tts
 					if err == io.EOF {
 						break
 					}
-					log.Errorw("TTS: stream recv error", "error", err, "request_id", requestID)
+					log.Errorw("TTS: stream recv error", "error", err)
 					break
 				}
 				if sentence != "" {
@@ -61,7 +61,7 @@ func NewTTSLambda(ttsService tts.Service, ttsVoice string, ttsSpeed float64, tts
 				return
 			}
 
-			log.Infow("开始 TTS 合成", "request_id", requestID, "sentence_count", len(sentences))
+			log.Infow("开始 TTS 合成", "sentence_count", len(sentences))
 
 			// 将句子数组转为 channel
 			sentenceCh := make(chan string, len(sentences))
@@ -78,7 +78,7 @@ func NewTTSLambda(ttsService tts.Service, ttsVoice string, ttsSpeed float64, tts
 				SampleRate: ttsSampleRate,
 			})
 			if err != nil {
-				log.Errorw("TTS 合成启动失败（已跳过）", "error", err, "request_id", requestID)
+				log.Errorw("TTS 合成启动失败（已跳过）", "error", err)
 				sw.Send(struct{}{}, nil)
 				return
 			}
@@ -87,7 +87,7 @@ func NewTTSLambda(ttsService tts.Service, ttsVoice string, ttsSpeed float64, tts
 			for chunk := range ttsStream {
 				select {
 				case <-ctx.Done():
-					log.Infow("TTS 流被中断", "request_id", requestID)
+					log.Infow("TTS 流被中断")
 					sw.Send(struct{}{}, ctx.Err())
 					return
 				default:
@@ -107,7 +107,7 @@ func NewTTSLambda(ttsService tts.Service, ttsVoice string, ttsSpeed float64, tts
 				}
 			}
 
-			log.Infow("TTS 合成完成", "request_id", requestID)
+			log.Infow("TTS 合成完成")
 			sw.Send(struct{}{}, nil)
 		}()