feat: AI 场景路由、ASR 服务及前后端全链路同步

- 新增 AI 场景路由控制器和管理接口
- 新增 ASR 语音识别服务及前后端集成
- 同步 AI Runtime 客户端到 Web/小程序/Life-Script
- 完善 AI 配置测试修复和管理后台路由配置
- 新增数据库迁移脚本

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

.superpowers/brainstorm/manual-20260522221312/.server-stopped

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+{"reason":"owner process exited","timestamp":1779459252481}

backend-single/asr-service/README.md

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+# Emotion Museum ASR Service
+
+Private speech-to-text service for the mini program voice input.
+
+Install on `101.200.208.45`:
+
+```bash
+cd /data/programs/emotion-museum/asr-service
+python3.11 -m venv .venv
+. .venv/bin/activate
+pip install -r requirements.txt
+
+uvicorn app:app --host 127.0.0.1 --port 19120
+curl http://127.0.0.1:19120/health
+```
+
+The service uses FunASR ONNX Runtime with a local Chinese Paraformer model on CPU and is intended to stay private on localhost. The Java backend exposes the authenticated public API.

backend-single/asr-service/app.py

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+import os
+import sys
+import tempfile
+import time
+import types
+import importlib.machinery
+from pathlib import Path
+from threading import Lock
+
+from fastapi import FastAPI, File, UploadFile
+
+app = FastAPI(title="Emotion Museum ASR")
+
+MODEL_NAME = os.getenv("ASR_MODEL", "/data/programs/emotion-museum/asr-service/models/paraformer-zh-onnx")
+DEVICE = os.getenv("ASR_DEVICE", "cpu")
+WORK_DIR = Path(os.getenv("ASR_WORK_DIR", "/tmp/emotion-museum-asr"))
+WORK_DIR.mkdir(parents=True, exist_ok=True)
+
+_model = None
+_model_lock = Lock()
+
+
+def get_model():
+    global _model
+    with _model_lock:
+        if _model is None:
+            # funasr-onnx imports the optional SenseVoice module from package
+            # __init__, which imports torch even when we only use Paraformer.
+            # This service intentionally runs the ONNX path without PyTorch.
+            if "torch" not in sys.modules:
+                torch_stub = types.ModuleType("torch")
+                torch_stub.__spec__ = importlib.machinery.ModuleSpec("torch", loader=None)
+                torch_stub.Tensor = type("Tensor", (), {})
+                sys.modules["torch"] = torch_stub
+            from funasr_onnx import Paraformer
+
+            _model = Paraformer(
+                MODEL_NAME,
+                batch_size=1,
+                device_id=-1,
+                quantize=True,
+                intra_op_num_threads=2,
+            )
+        return _model
+
+
+def clean_text(text):
+    if isinstance(text, (list, tuple)):
+        text = text[0] if text else ""
+    if not text:
+        return ""
+    markers = ["<|zh|>", "<|en|>", "<|yue|>", "<|ja|>", "<|ko|>", "<|nospeech|>", "<|withitn|>", "<|woitn|>"]
+    for marker in markers:
+        text = text.replace(marker, "")
+    return text.strip()
+
+
+@app.get("/health")
+def health():
+    return {
+        "status": "ok",
+        "engine": "funasr-onnx",
+        "model": MODEL_NAME,
+        "device": DEVICE,
+        "loaded": _model is not None,
+    }
+
+
+@app.post("/transcribe")
+async def transcribe(file: UploadFile = File(...)):
+    started = time.time()
+    suffix = Path(file.filename or "audio.wav").suffix or ".wav"
+    tmp_path = None
+
+    try:
+        with tempfile.NamedTemporaryFile(delete=False, suffix=suffix, dir=WORK_DIR) as tmp:
+            tmp_path = Path(tmp.name)
+            while True:
+                chunk = await file.read(1024 * 1024)
+                if not chunk:
+                    break
+                tmp.write(chunk)
+
+        model = get_model()
+        result = model([str(tmp_path)])
+        first = result[0] if isinstance(result, list) and result else result
+        text = clean_text(first.get("preds", first.get("text", "")) if isinstance(first, dict) else str(first or ""))
+        language = first.get("language") if isinstance(first, dict) else None
+
+        return {
+            "success": bool(text),
+            "text": text,
+            "language": language,
+            "durationMs": int((time.time() - started) * 1000),
+            "engine": "funasr-onnx",
+            "model": MODEL_NAME,
+            "errorMessage": None if text else "empty recognition result",
+        }
+    except Exception as exc:
+        return {
+            "success": False,
+            "text": "",
+            "language": None,
+            "durationMs": int((time.time() - started) * 1000),
+            "engine": "funasr-onnx",
+            "model": MODEL_NAME,
+            "errorMessage": str(exc),
+        }
+    finally:
+        if tmp_path:
+            try:
+                tmp_path.unlink(missing_ok=True)
+            except Exception:
+                pass

backend-single/asr-service/emotion-museum-asr.service

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+[Unit]
+Description=Emotion Museum ASR Service
+After=network.target
+
+[Service]
+Type=simple
+WorkingDirectory=/data/programs/emotion-museum/asr-service
+Environment=ASR_MODEL=/data/programs/emotion-museum/asr-service/models/paraformer-zh-onnx
+Environment=ASR_DEVICE=cpu
+Environment=ASR_WORK_DIR=/tmp/emotion-museum-asr
+ExecStart=/data/programs/emotion-museum/asr-service/.venv/bin/uvicorn app:app --host 127.0.0.1 --port 19120
+Restart=always
+RestartSec=5
+
+[Install]
+WantedBy=multi-user.target

backend-single/asr-service/requirements.txt

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+fastapi==0.111.0
+uvicorn[standard]==0.30.1
+pydantic==2.7.4
+python-multipart==0.0.20
+funasr-onnx==0.4.1
+modelscope==1.22.3
+onnxruntime==1.26.0
+soundfile==0.13.1

backend-single/src/main/java/com/emotion/controller/AiRoutingController.java

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+package com.emotion.controller;
+
+import com.alibaba.fastjson2.JSONObject;
+import com.emotion.common.Result;
+import com.emotion.dto.request.ai.AiRuntimeRequest;
+import com.emotion.dto.response.ai.AiRuntimeTestResponse;
+import com.emotion.dto.response.ai.AiStreamEvent;
+import com.emotion.entity.AiCallLog;
+import com.emotion.entity.AiEndpointConfig;
+import com.emotion.entity.AiProvider;
+import com.emotion.entity.AiSceneBinding;
+import com.emotion.service.AiCallLogService;
+import com.emotion.service.AiEndpointConfigService;
+import com.emotion.service.AiProviderService;
+import com.emotion.service.AiRuntimeService;
+import com.emotion.service.AiSceneBindingService;
+import com.emotion.util.UserContextHolder;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.web.bind.annotation.DeleteMapping;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.PutMapping;
+import org.springframework.web.bind.annotation.RequestBody;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
+
+import java.io.IOException;
+import java.util.List;
+import java.util.concurrent.CompletableFuture;
+
+@Slf4j
+@RestController
+@RequestMapping("/ai")
+public class AiRoutingController {
+
+    private final AiProviderService providerService;
+    private final AiEndpointConfigService endpointConfigService;
+    private final AiSceneBindingService sceneBindingService;
+    private final AiCallLogService callLogService;
+    private final AiRuntimeService runtimeService;
+
+    public AiRoutingController(AiProviderService providerService,
+                               AiEndpointConfigService endpointConfigService,
+                               AiSceneBindingService sceneBindingService,
+                               AiCallLogService callLogService,
+                               AiRuntimeService runtimeService) {
+        this.providerService = providerService;
+        this.endpointConfigService = endpointConfigService;
+        this.sceneBindingService = sceneBindingService;
+        this.callLogService = callLogService;
+        this.runtimeService = runtimeService;
+    }
+
+    @GetMapping("/providers")
+    public Result<List<AiProvider>> providers() {
+        return Result.success(providerService.listVisible());
+    }
+
+    @PostMapping("/providers")
+    public Result<AiProvider> createProvider(@RequestBody AiProvider provider) {
+        return Result.success(providerService.saveProvider(provider));
+    }
+
+    @PutMapping("/providers")
+    public Result<AiProvider> updateProvider(@RequestBody AiProvider provider) {
+        return Result.success(providerService.updateProvider(provider));
+    }
+
+    @DeleteMapping("/providers")
+    public Result<Void> deleteProvider(@RequestParam String id) {
+        providerService.removeById(id);
+        return Result.success();
+    }
+
+    @GetMapping("/endpoints")
+    public Result<List<AiEndpointConfig>> endpoints() {
+        return Result.success(endpointConfigService.listVisible());
+    }
+
+    @PostMapping("/endpoints")
+    public Result<AiEndpointConfig> createEndpoint(@RequestBody AiEndpointConfig endpoint) {
+        return Result.success(endpointConfigService.saveEndpoint(endpoint));
+    }
+
+    @PutMapping("/endpoints")
+    public Result<AiEndpointConfig> updateEndpoint(@RequestBody AiEndpointConfig endpoint) {
+        return Result.success(endpointConfigService.updateEndpoint(endpoint));
+    }
+
+    @DeleteMapping("/endpoints")
+    public Result<Void> deleteEndpoint(@RequestParam String id) {
+        endpointConfigService.removeById(id);
+        return Result.success();
+    }
+
+    @GetMapping("/scenes")
+    public Result<List<AiSceneBinding>> scenes() {
+        return Result.success(sceneBindingService.listVisible());
+    }
+
+    @PostMapping("/scenes")
+    public Result<AiSceneBinding> createScene(@RequestBody AiSceneBinding scene) {
+        if (scene.getIsEnabled() == null) {
+            scene.setIsEnabled(1);
+        }
+        if (scene.getRequiredStream() == null) {
+            scene.setRequiredStream(1);
+        }
+        sceneBindingService.save(scene);
+        return Result.success(scene);
+    }
+
+    @PutMapping("/scenes")
+    public Result<AiSceneBinding> updateScene(@RequestBody AiSceneBinding scene) {
+        sceneBindingService.updateById(scene);
+        return Result.success(sceneBindingService.getById(scene.getId()));
+    }
+
+    @DeleteMapping("/scenes")
+    public Result<Void> deleteScene(@RequestParam String id) {
+        sceneBindingService.removeById(id);
+        return Result.success();
+    }
+
+    @GetMapping("/call-logs")
+    public Result<List<AiCallLog>> callLogs(@RequestParam(required = false) Integer limit) {
+        return Result.success(callLogService.latest(limit));
+    }
+
+    @PostMapping("/runtime/test")
+    public Result<AiRuntimeTestResponse> runtimeTest(@RequestBody JSONObject payload) {
+        AiRuntimeRequest request = withCurrentUser(AiRuntimeRequest.fromPayload(payload));
+        return Result.success(runtimeService.test(request));
+    }
+
+    @PostMapping("/runtime/stream")
+    public SseEmitter runtimeStream(@RequestBody JSONObject payload) {
+        AiRuntimeRequest request = withCurrentUser(AiRuntimeRequest.fromPayload(payload));
+        SseEmitter emitter = new SseEmitter(0L);
+        CompletableFuture.runAsync(() -> {
+            runtimeService.invokeStream(request, event -> sendEvent(emitter, event));
+            emitter.complete();
+        }).exceptionally(error -> {
+            sendEvent(emitter, AiStreamEvent.error("AI_STREAM_INTERRUPTED", error.getMessage()));
+            emitter.completeWithError(error);
+            return null;
+        });
+        return emitter;
+    }
+
+    private AiRuntimeRequest withCurrentUser(AiRuntimeRequest request) {
+        request.setUserId(UserContextHolder.getCurrentUserId());
+        request.setUserName(UserContextHolder.getCurrentUsername());
+        request.setUserType(UserContextHolder.getCurrentUserType());
+        request.setRequestId(UserContextHolder.getRequestId());
+        return request;
+    }
+
+    private void sendEvent(SseEmitter emitter, AiStreamEvent event) {
+        try {
+            emitter.send(SseEmitter.event()
+                    .name(event.getType())
+                    .data(event));
+        } catch (IOException e) {
+            log.warn("AI stream client disconnected: {}", e.getMessage());
+            throw new IllegalStateException("AI_STREAM_CLIENT_DISCONNECTED", e);
+        }
+    }
+}

backend-single/src/main/java/com/emotion/controller/AsrController.java

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+package com.emotion.controller;
+
+import com.emotion.common.Result;
+import com.emotion.dto.response.asr.AsrTranscribeResponse;
+import com.emotion.service.AsrService;
+import com.emotion.util.UserContextHolder;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestPart;
+import org.springframework.web.bind.annotation.RestController;
+import org.springframework.web.multipart.MultipartFile;
+
+@RestController
+@RequestMapping("/asr")
+public class AsrController {
+
+    private final AsrService asrService;
+
+    public AsrController(AsrService asrService) {
+        this.asrService = asrService;
+    }
+
+    @PostMapping("/transcribe")
+    public Result<AsrTranscribeResponse> transcribe(@RequestPart("file") MultipartFile file) {
+        if (UserContextHolder.getCurrentUserId() == null) {
+            return Result.unauthorized();
+        }
+        try {
+            return Result.success(asrService.transcribe(file));
+        } catch (IllegalArgumentException e) {
+            return Result.badRequest(e.getMessage());
+        } catch (IllegalStateException e) {
+            return Result.error(e.getMessage());
+        }
+    }
+}

backend-single/src/main/java/com/emotion/dto/request/ai/AiRuntimeRequest.java

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+package com.emotion.dto.request.ai;
+
+import com.alibaba.fastjson2.JSONObject;
+import lombok.Data;
+import org.springframework.util.StringUtils;
+
+import java.util.Set;
+
+@Data
+public class AiRuntimeRequest {
+
+    private static final Set<String> RESERVED_KEYS = Set.of("sceneCode", "scene", "inputs", "userId", "userName", "username", "userType", "requestId");
+
+    private String sceneCode;
+
+    private String userId;
+
+    private String userName;
+
+    private String userType;
+
+    private String requestId;
+
+    private JSONObject inputs = new JSONObject();
+
+    public static AiRuntimeRequest fromPayload(JSONObject payload) {
+        AiRuntimeRequest request = new AiRuntimeRequest();
+        if (payload == null) {
+            return request;
+        }
+        String sceneCode = payload.getString("sceneCode");
+        if (!StringUtils.hasText(sceneCode)) {
+            sceneCode = payload.getString("scene");
+        }
+        request.setSceneCode(sceneCode);
+
+        JSONObject inputs = payload.getJSONObject("inputs");
+        if (inputs == null) {
+            inputs = new JSONObject();
+            JSONObject runtimeInputs = inputs;
+            payload.forEach((key, value) -> {
+                if (!RESERVED_KEYS.contains(key)) {
+                    runtimeInputs.put(key, value);
+                }
+            });
+        }
+        request.setInputs(inputs);
+        return request;
+    }
+}

backend-single/src/main/java/com/emotion/dto/response/ai/AiRuntimeTestResponse.java

@@ -0,0 +1,23 @@
+package com.emotion.dto.response.ai;
+
+import lombok.Builder;
+import lombok.Data;
+
+@Data
+@Builder
+public class AiRuntimeTestResponse {
+
+    private String sceneCode;
+
+    private String status;
+
+    private String output;
+
+    private Long durationMs;
+
+    private Integer streamChunks;
+
+    private String errorCode;
+
+    private String errorMessage;
+}

backend-single/src/main/java/com/emotion/dto/response/ai/AiStreamEvent.java

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+package com.emotion.dto.response.ai;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.util.HashMap;
+import java.util.Map;
+
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class AiStreamEvent {
+
+    private String type;
+
+    private String content;
+
+    private String code;
+
+    private String message;
+
+    private Integer seq;
+
+    @Builder.Default
+    private Long timestamp = System.currentTimeMillis();
+
+    @Builder.Default
+    private Map<String, Object> metadata = new HashMap<>();
+
+    public static AiStreamEvent start(String sceneCode) {
+        return AiStreamEvent.builder()
+                .type("start")
+                .message("stream started")
+                .metadata(Map.of("sceneCode", sceneCode))
+                .build();
+    }
+
+    public static AiStreamEvent delta(String content, int seq) {
+        return AiStreamEvent.builder()
+                .type("delta")
+                .content(content)
+                .seq(seq)
+                .build();
+    }
+
+    public static AiStreamEvent error(String code, String message) {
+        return AiStreamEvent.builder()
+                .type("error")
+                .code(code)
+                .message(message)
+                .build();
+    }
+
+    public static AiStreamEvent done(Map<String, Object> metadata) {
+        return AiStreamEvent.builder()
+                .type("done")
+                .message("stream completed")
+                .metadata(metadata == null ? Map.of() : metadata)
+                .build();
+    }
+}

backend-single/src/main/java/com/emotion/dto/response/asr/AsrTranscribeResponse.java

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+package com.emotion.dto.response.asr;
+
+import lombok.Builder;
+import lombok.Data;
+
+@Data
+@Builder
+public class AsrTranscribeResponse {
+
+    private String text;
+    private String language;
+    private Long durationMs;
+    private String engine;
+    private String model;
+    private String errorMessage;
+}

backend-single/src/main/java/com/emotion/entity/AiCallLog.java

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+package com.emotion.entity;
+
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableName;
+import com.emotion.common.BaseEntity;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+import lombok.NoArgsConstructor;
+import lombok.experimental.SuperBuilder;
+
+@Data
+@EqualsAndHashCode(callSuper = true)
+@SuperBuilder
+@NoArgsConstructor
+@AllArgsConstructor
+@TableName("t_ai_call_log")
+public class AiCallLog extends BaseEntity {
+
+    @TableField("scene_code")
+    private String sceneCode;
+
+    @TableField("provider_code")
+    private String providerCode;
+
+    @TableField("endpoint_code")
+    private String endpointCode;
+
+    @TableField("user_id")
+    private String userId;
+
+    @TableField("request_id")
+    private String requestId;
+
+    @TableField("status")
+    private String status;
+
+    @TableField("input_text")
+    private String inputText;
+
+    @TableField("output_text")
+    private String outputText;
+
+    @TableField("error_code")
+    private String errorCode;
+
+    @TableField("error_message")
+    private String errorMessage;
+
+    @TableField("first_token_ms")
+    private Long firstTokenMs;
+
+    @TableField("duration_ms")
+    private Long durationMs;
+
+    @TableField("stream_chunks")
+    private Integer streamChunks;
+}

backend-single/src/main/java/com/emotion/entity/AiEndpointConfig.java

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+package com.emotion.entity;
+
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableName;
+import com.emotion.common.BaseEntity;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+import lombok.NoArgsConstructor;
+import lombok.experimental.SuperBuilder;
+
+@Data
+@EqualsAndHashCode(callSuper = true)
+@SuperBuilder
+@NoArgsConstructor
+@AllArgsConstructor
+@TableName("t_ai_endpoint_config")
+public class AiEndpointConfig extends BaseEntity {
+
+    @TableField("endpoint_code")
+    private String endpointCode;
+
+    @TableField("endpoint_name")
+    private String endpointName;
+
+    @TableField("provider_id")
+    private String providerId;
+
+    @TableField("endpoint_type")
+    private String endpointType;
+
+    @TableField("api_path")
+    private String apiPath;
+
+    @TableField("workflow_id")
+    private String workflowId;
+
+    @TableField("bot_id")
+    private String botId;
+
+    @TableField("model_name")
+    private String modelName;
+
+    @TableField("response_mode")
+    private String responseMode;
+
+    @TableField("request_template")
+    private String requestTemplate;
+
+    @TableField("default_inputs")
+    private String defaultInputs;
+
+    @TableField("custom_headers")
+    private String customHeaders;
+
+    @TableField("timeout_ms")
+    private Integer timeoutMs;
+
+    @TableField("support_stream")
+    private Integer supportStream;
+
+    @TableField("is_enabled")
+    private Integer isEnabled;
+
+    @TableField("description")
+    private String description;
+}

backend-single/src/main/java/com/emotion/entity/AiProvider.java

@@ -0,0 +1,49 @@
+package com.emotion.entity;
+
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableName;
+import com.emotion.common.BaseEntity;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+import lombok.NoArgsConstructor;
+import lombok.experimental.SuperBuilder;
+
+@Data
+@EqualsAndHashCode(callSuper = true)
+@SuperBuilder
+@NoArgsConstructor
+@AllArgsConstructor
+@TableName("t_ai_provider")
+public class AiProvider extends BaseEntity {
+
+    @TableField("provider_code")
+    private String providerCode;
+
+    @TableField("provider_name")
+    private String providerName;
+
+    @TableField("provider_type")
+    private String providerType;
+
+    @TableField("base_url")
+    private String baseUrl;
+
+    @TableField("api_key")
+    private String apiKey;
+
+    @TableField("auth_type")
+    private String authType;
+
+    @TableField("default_headers")
+    private String defaultHeaders;
+
+    @TableField("timeout_ms")
+    private Integer timeoutMs;
+
+    @TableField("is_enabled")
+    private Integer isEnabled;
+
+    @TableField("description")
+    private String description;
+}

backend-single/src/main/java/com/emotion/entity/AiSceneBinding.java

@@ -0,0 +1,49 @@
+package com.emotion.entity;
+
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableName;
+import com.emotion.common.BaseEntity;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+import lombok.NoArgsConstructor;
+import lombok.experimental.SuperBuilder;
+
+@Data
+@EqualsAndHashCode(callSuper = true)
+@SuperBuilder
+@NoArgsConstructor
+@AllArgsConstructor
+@TableName("t_ai_scene_binding")
+public class AiSceneBinding extends BaseEntity {
+
+    @TableField("scene_code")
+    private String sceneCode;
+
+    @TableField("scene_name")
+    private String sceneName;
+
+    @TableField("endpoint_id")
+    private String endpointId;
+
+    @TableField("input_schema")
+    private String inputSchema;
+
+    @TableField("prompt_template")
+    private String promptTemplate;
+
+    @TableField("required_stream")
+    private Integer requiredStream;
+
+    @TableField("priority")
+    private Integer priority;
+
+    @TableField("is_enabled")
+    private Integer isEnabled;
+
+    @TableField("version")
+    private String version;
+
+    @TableField("description")
+    private String description;
+}

backend-single/src/main/java/com/emotion/mapper/AiCallLogMapper.java

@@ -0,0 +1,9 @@
+package com.emotion.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.emotion.entity.AiCallLog;
+import org.apache.ibatis.annotations.Mapper;
+
+@Mapper
+public interface AiCallLogMapper extends BaseMapper<AiCallLog> {
+}

backend-single/src/main/java/com/emotion/mapper/AiEndpointConfigMapper.java

@@ -0,0 +1,9 @@
+package com.emotion.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.emotion.entity.AiEndpointConfig;
+import org.apache.ibatis.annotations.Mapper;
+
+@Mapper
+public interface AiEndpointConfigMapper extends BaseMapper<AiEndpointConfig> {
+}

backend-single/src/main/java/com/emotion/mapper/AiProviderMapper.java

@@ -0,0 +1,9 @@
+package com.emotion.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.emotion.entity.AiProvider;
+import org.apache.ibatis.annotations.Mapper;
+
+@Mapper
+public interface AiProviderMapper extends BaseMapper<AiProvider> {
+}

backend-single/src/main/java/com/emotion/mapper/AiSceneBindingMapper.java

@@ -0,0 +1,9 @@
+package com.emotion.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.emotion.entity.AiSceneBinding;
+import org.apache.ibatis.annotations.Mapper;
+
+@Mapper
+public interface AiSceneBindingMapper extends BaseMapper<AiSceneBinding> {
+}

backend-single/src/main/java/com/emotion/service/AiCallLogService.java

@@ -0,0 +1,11 @@
+package com.emotion.service;
+
+import com.baomidou.mybatisplus.extension.service.IService;
+import com.emotion.entity.AiCallLog;
+
+import java.util.List;
+
+public interface AiCallLogService extends IService<AiCallLog> {
+
+    List<AiCallLog> latest(Integer limit);
+}

backend-single/src/main/java/com/emotion/service/AiEndpointConfigService.java

@@ -0,0 +1,17 @@
+package com.emotion.service;
+
+import com.baomidou.mybatisplus.extension.service.IService;
+import com.emotion.entity.AiEndpointConfig;
+
+import java.util.List;
+
+public interface AiEndpointConfigService extends IService<AiEndpointConfig> {
+
+    List<AiEndpointConfig> listVisible();
+
+    AiEndpointConfig saveEndpoint(AiEndpointConfig endpoint);
+
+    AiEndpointConfig updateEndpoint(AiEndpointConfig endpoint);
+
+    AiEndpointConfig getEnabledById(String id);
+}

backend-single/src/main/java/com/emotion/service/AiProviderService.java

@@ -0,0 +1,17 @@
+package com.emotion.service;
+
+import com.baomidou.mybatisplus.extension.service.IService;
+import com.emotion.entity.AiProvider;
+
+import java.util.List;
+
+public interface AiProviderService extends IService<AiProvider> {
+
+    List<AiProvider> listVisible();
+
+    AiProvider saveProvider(AiProvider provider);
+
+    AiProvider updateProvider(AiProvider provider);
+
+    AiProvider getEnabledById(String id);
+}

backend-single/src/main/java/com/emotion/service/AiRuntimeService.java

@@ -0,0 +1,14 @@
+package com.emotion.service;
+
+import com.emotion.dto.request.ai.AiRuntimeRequest;
+import com.emotion.dto.response.ai.AiRuntimeTestResponse;
+import com.emotion.dto.response.ai.AiStreamEvent;
+
+import java.util.function.Consumer;
+
+public interface AiRuntimeService {
+
+    void invokeStream(AiRuntimeRequest request, Consumer<AiStreamEvent> consumer);
+
+    AiRuntimeTestResponse test(AiRuntimeRequest request);
+}

backend-single/src/main/java/com/emotion/service/AiSceneBindingService.java

@@ -0,0 +1,13 @@
+package com.emotion.service;
+
+import com.baomidou.mybatisplus.extension.service.IService;
+import com.emotion.entity.AiSceneBinding;
+
+import java.util.List;
+
+public interface AiSceneBindingService extends IService<AiSceneBinding> {
+
+    List<AiSceneBinding> listVisible();
+
+    AiSceneBinding resolveScene(String sceneCode);
+}

backend-single/src/main/java/com/emotion/service/AsrService.java

@@ -0,0 +1,9 @@
+package com.emotion.service;
+
+import com.emotion.dto.response.asr.AsrTranscribeResponse;
+import org.springframework.web.multipart.MultipartFile;
+
+public interface AsrService {
+
+    AsrTranscribeResponse transcribe(MultipartFile file);
+}

backend-single/src/main/java/com/emotion/service/ai/AiProviderAdapter.java

@@ -0,0 +1,15 @@
+package com.emotion.service.ai;
+
+import com.emotion.dto.request.ai.AiRuntimeRequest;
+import com.emotion.dto.response.ai.AiStreamEvent;
+import com.emotion.entity.AiEndpointConfig;
+import com.emotion.entity.AiProvider;
+
+import java.util.function.Consumer;
+
+public interface AiProviderAdapter {
+
+    boolean supports(String providerType);
+
+    void stream(AiProvider provider, AiEndpointConfig endpoint, AiRuntimeRequest request, Consumer<AiStreamEvent> consumer);
+}

backend-single/src/main/java/com/emotion/service/ai/AiTemplateRenderer.java

@@ -0,0 +1,50 @@
+package com.emotion.service.ai;
+
+import com.alibaba.fastjson2.JSON;
+import com.alibaba.fastjson2.JSONObject;
+import org.springframework.stereotype.Component;
+import org.springframework.util.StringUtils;
+
+import java.util.HashMap;
+import java.util.Map;
+
+@Component
+public class AiTemplateRenderer {
+
+    public Map<String, Object> mergeInputs(String defaultInputs, Map<String, Object> runtimeInputs) {
+        Map<String, Object> inputs = new HashMap<>();
+        if (StringUtils.hasText(defaultInputs)) {
+            try {
+                inputs.putAll(JSON.parseObject(defaultInputs));
+            } catch (Exception ignored) {
+                inputs.put("default_input", defaultInputs);
+            }
+        }
+        if (runtimeInputs != null) {
+            inputs.putAll(runtimeInputs);
+        }
+        return inputs;
+    }
+
+    public JSONObject renderObject(String template, Map<String, Object> inputs) {
+        if (!StringUtils.hasText(template)) {
+            return new JSONObject();
+        }
+        String rendered = template;
+        for (Map.Entry<String, Object> entry : inputs.entrySet()) {
+            String value = entry.getValue() == null ? "" : String.valueOf(entry.getValue());
+            rendered = rendered.replace("{{" + entry.getKey() + "}}", value);
+        }
+        return JSON.parseObject(rendered);
+    }
+
+    public String firstText(Map<String, Object> inputs) {
+        for (String key : new String[]{"prompt", "message", "query", "text", "input"}) {
+            Object value = inputs.get(key);
+            if (value != null && StringUtils.hasText(String.valueOf(value))) {
+                return String.valueOf(value);
+            }
+        }
+        return "";
+    }
+}

backend-single/src/main/java/com/emotion/service/ai/CozeProviderAdapter.java

@@ -0,0 +1,132 @@
+package com.emotion.service.ai;
+
+import com.alibaba.fastjson2.JSON;
+import com.alibaba.fastjson2.JSONArray;
+import com.alibaba.fastjson2.JSONObject;
+import com.emotion.dto.request.ai.AiRuntimeRequest;
+import com.emotion.dto.response.ai.AiStreamEvent;
+import com.emotion.entity.AiEndpointConfig;
+import com.emotion.entity.AiProvider;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.HttpMethod;
+import org.springframework.stereotype.Component;
+import org.springframework.util.StringUtils;
+import org.springframework.web.client.RestTemplate;
+
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.nio.charset.StandardCharsets;
+import java.util.Map;
+import java.util.function.Consumer;
+
+@Component
+public class CozeProviderAdapter implements AiProviderAdapter {
+
+    private final RestTemplate restTemplate;
+    private final AiTemplateRenderer templateRenderer;
+    private final ProviderHttpSupport httpSupport;
+
+    public CozeProviderAdapter(RestTemplate restTemplate, AiTemplateRenderer templateRenderer, ProviderHttpSupport httpSupport) {
+        this.restTemplate = restTemplate;
+        this.templateRenderer = templateRenderer;
+        this.httpSupport = httpSupport;
+    }
+
+    @Override
+    public boolean supports(String providerType) {
+        return "coze".equalsIgnoreCase(providerType);
+    }
+
+    @Override
+    public void stream(AiProvider provider, AiEndpointConfig endpoint, AiRuntimeRequest request, Consumer<AiStreamEvent> consumer) {
+        Map<String, Object> inputs = templateRenderer.mergeInputs(endpoint.getDefaultInputs(), request.getInputs());
+        JSONObject body = buildRequestBody(endpoint, request, inputs);
+        String path = StringUtils.hasText(endpoint.getApiPath()) ? endpoint.getApiPath() : defaultPath(endpoint);
+        String url = httpSupport.joinUrl(provider.getBaseUrl(), path);
+        ProviderHttpSupport.Counter counter = new ProviderHttpSupport.Counter();
+
+        restTemplate.execute(url, HttpMethod.POST, clientRequest -> {
+            HttpHeaders headers = clientRequest.getHeaders();
+            httpSupport.applyHeaders(headers, provider, endpoint);
+            clientRequest.getBody().write(JSON.toJSONString(body).getBytes(StandardCharsets.UTF_8));
+        }, response -> {
+            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.getBody(), StandardCharsets.UTF_8))) {
+                String line;
+                while ((line = reader.readLine()) != null) {
+                    if (line.startsWith("data:")) {
+                        httpSupport.emitSseData(line.substring(5).trim(), consumer, this::extractCozeDelta, counter);
+                    }
+                }
+            }
+            return null;
+        });
+
+        if (counter.get() == 0) {
+            throw new IllegalStateException("AI_STREAM_NO_DELTA");
+        }
+    }
+
+    private JSONObject buildRequestBody(AiEndpointConfig endpoint, AiRuntimeRequest request, Map<String, Object> inputs) {
+        if (StringUtils.hasText(endpoint.getRequestTemplate())) {
+            JSONObject rendered = templateRenderer.renderObject(endpoint.getRequestTemplate(), inputs);
+            rendered.putIfAbsent("stream", true);
+            return rendered;
+        }
+
+        JSONObject body = new JSONObject();
+        if ("workflow".equalsIgnoreCase(endpoint.getEndpointType())) {
+            body.put("workflow_id", endpoint.getWorkflowId());
+            body.put("parameters", inputs);
+            body.put("is_async", false);
+            return body;
+        }
+
+        body.put("bot_id", endpoint.getBotId());
+        body.put("user_id", StringUtils.hasText(request.getUserId()) ? request.getUserId() : "anonymous");
+        body.put("stream", true);
+        body.put("auto_save_history", false);
+        JSONArray messages = new JSONArray();
+        JSONObject message = new JSONObject();
+        message.put("role", "user");
+        message.put("content_type", "text");
+        message.put("content", templateRenderer.firstText(inputs));
+        messages.add(message);
+        body.put("additional_messages", messages);
+        return body;
+    }
+
+    private String defaultPath(AiEndpointConfig endpoint) {
+        if ("workflow".equalsIgnoreCase(endpoint.getEndpointType())) {
+            return "/v1/workflow/stream_run";
+        }
+        return "/v3/chat";
+    }
+
+    private String extractCozeDelta(JSONObject json) {
+        String type = json.getString("type");
+        String content = json.getString("content");
+        if (StringUtils.hasText(content) && (type == null || type.contains("answer") || type.contains("delta"))) {
+            return content;
+        }
+        JSONObject message = json.getJSONObject("message");
+        if (message != null && StringUtils.hasText(message.getString("content"))) {
+            return message.getString("content");
+        }
+        JSONObject data = json.getJSONObject("data");
+        if (data != null) {
+            String output = data.getString("output");
+            if (StringUtils.hasText(output)) {
+                return output;
+            }
+            String answer = data.getString("answer");
+            if (StringUtils.hasText(answer)) {
+                return answer;
+            }
+            String dataContent = data.getString("content");
+            if (StringUtils.hasText(dataContent)) {
+                return dataContent;
+            }
+        }
+        return null;
+    }
+}

backend-single/src/main/java/com/emotion/service/ai/DifyProviderAdapter.java

@@ -0,0 +1,121 @@
+package com.emotion.service.ai;
+
+import com.alibaba.fastjson2.JSON;
+import com.alibaba.fastjson2.JSONObject;
+import com.emotion.dto.request.ai.AiRuntimeRequest;
+import com.emotion.dto.response.ai.AiStreamEvent;
+import com.emotion.entity.AiEndpointConfig;
+import com.emotion.entity.AiProvider;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.HttpMethod;
+import org.springframework.stereotype.Component;
+import org.springframework.util.StringUtils;
+import org.springframework.web.client.RestTemplate;
+
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.nio.charset.StandardCharsets;
+import java.util.Map;
+import java.util.function.Consumer;
+
+@Component
+public class DifyProviderAdapter implements AiProviderAdapter {
+
+    private final RestTemplate restTemplate;
+    private final AiTemplateRenderer templateRenderer;
+    private final ProviderHttpSupport httpSupport;
+
+    public DifyProviderAdapter(RestTemplate restTemplate, AiTemplateRenderer templateRenderer, ProviderHttpSupport httpSupport) {
+        this.restTemplate = restTemplate;
+        this.templateRenderer = templateRenderer;
+        this.httpSupport = httpSupport;
+    }
+
+    @Override
+    public boolean supports(String providerType) {
+        return "dify".equalsIgnoreCase(providerType);
+    }
+
+    @Override
+    public void stream(AiProvider provider, AiEndpointConfig endpoint, AiRuntimeRequest request, Consumer<AiStreamEvent> consumer) {
+        Map<String, Object> inputs = templateRenderer.mergeInputs(endpoint.getDefaultInputs(), request.getInputs());
+        JSONObject body = buildRequestBody(endpoint, request, inputs);
+        String path = StringUtils.hasText(endpoint.getApiPath()) ? endpoint.getApiPath() : defaultPath(endpoint);
+        String url = httpSupport.joinUrl(provider.getBaseUrl(), path);
+        ProviderHttpSupport.Counter counter = new ProviderHttpSupport.Counter();
+
+        restTemplate.execute(url, HttpMethod.POST, clientRequest -> {
+            HttpHeaders headers = clientRequest.getHeaders();
+            httpSupport.applyHeaders(headers, provider, endpoint);
+            clientRequest.getBody().write(JSON.toJSONString(body).getBytes(StandardCharsets.UTF_8));
+        }, response -> {
+            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.getBody(), StandardCharsets.UTF_8))) {
+                String line;
+                while ((line = reader.readLine()) != null) {
+                    if (line.startsWith("data:")) {
+                        httpSupport.emitSseData(line.substring(5).trim(), consumer, this::extractDifyDelta, counter);
+                    }
+                }
+            }
+            return null;
+        });
+
+        if (counter.get() == 0) {
+            throw new IllegalStateException("AI_STREAM_NO_DELTA");
+        }
+    }
+
+    private JSONObject buildRequestBody(AiEndpointConfig endpoint, AiRuntimeRequest request, Map<String, Object> inputs) {
+        if (StringUtils.hasText(endpoint.getRequestTemplate())) {
+            JSONObject rendered = templateRenderer.renderObject(endpoint.getRequestTemplate(), inputs);
+            rendered.putIfAbsent("response_mode", "streaming");
+            rendered.putIfAbsent("user", user(request));
+            return rendered;
+        }
+
+        JSONObject body = new JSONObject();
+        body.put("response_mode", "streaming");
+        body.put("user", user(request));
+        if ("chat".equalsIgnoreCase(endpoint.getEndpointType())) {
+            body.put("query", templateRenderer.firstText(inputs));
+            body.put("inputs", inputs);
+        } else {
+            body.put("inputs", inputs);
+        }
+        return body;
+    }
+
+    private String defaultPath(AiEndpointConfig endpoint) {
+        if ("chat".equalsIgnoreCase(endpoint.getEndpointType())) {
+            return "/chat-messages";
+        }
+        return "/workflows/run";
+    }
+
+    private String user(AiRuntimeRequest request) {
+        return StringUtils.hasText(request.getUserId()) ? request.getUserId() : "anonymous";
+    }
+
+    private String extractDifyDelta(JSONObject json) {
+        String event = json.getString("event");
+        if ("message".equals(event) || "agent_message".equals(event)) {
+            return json.getString("answer");
+        }
+        if ("text_chunk".equals(event)) {
+            JSONObject data = json.getJSONObject("data");
+            return data == null ? null : data.getString("text");
+        }
+        if ("workflow_finished".equals(event)) {
+            JSONObject data = json.getJSONObject("data");
+            JSONObject outputs = data == null ? null : data.getJSONObject("outputs");
+            if (outputs != null) {
+                Object text = outputs.get("text");
+                if (text == null) {
+                    text = outputs.get("answer");
+                }
+                return text == null ? null : String.valueOf(text);
+            }
+        }
+        return null;
+    }
+}

backend-single/src/main/java/com/emotion/service/ai/ProviderHttpSupport.java

@@ -0,0 +1,88 @@
+package com.emotion.service.ai;
+
+import com.alibaba.fastjson2.JSON;
+import com.alibaba.fastjson2.JSONObject;
+import com.emotion.dto.response.ai.AiStreamEvent;
+import com.emotion.entity.AiEndpointConfig;
+import com.emotion.entity.AiProvider;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.MediaType;
+import org.springframework.stereotype.Component;
+import org.springframework.util.StringUtils;
+
+import java.util.Map;
+import java.util.function.Consumer;
+
+@Component
+public class ProviderHttpSupport {
+
+    public String joinUrl(String baseUrl, String path) {
+        String base = StringUtils.hasText(baseUrl) ? baseUrl.trim() : "";
+        String suffix = StringUtils.hasText(path) ? path.trim() : "";
+        if (!base.endsWith("/") && !suffix.startsWith("/")) {
+            return base + "/" + suffix;
+        }
+        if (base.endsWith("/") && suffix.startsWith("/")) {
+            return base + suffix.substring(1);
+        }
+        return base + suffix;
+    }
+
+    public void applyHeaders(HttpHeaders headers, AiProvider provider, AiEndpointConfig endpoint) {
+        headers.setContentType(MediaType.APPLICATION_JSON);
+        if (StringUtils.hasText(provider.getApiKey())) {
+            headers.setBearerAuth(provider.getApiKey());
+        }
+        applyJsonHeaders(headers, provider.getDefaultHeaders());
+        applyJsonHeaders(headers, endpoint.getCustomHeaders());
+    }
+
+    public void emitSseData(String data, Consumer<AiStreamEvent> consumer, DeltaExtractor extractor, Counter counter) {
+        if (!StringUtils.hasText(data) || "[DONE]".equals(data.trim())) {
+            return;
+        }
+        try {
+            JSONObject json = JSON.parseObject(data);
+            String delta = extractor.extract(json);
+            if (StringUtils.hasText(delta)) {
+                counter.increment();
+                consumer.accept(AiStreamEvent.delta(delta, counter.get()));
+            }
+        } catch (Exception ignored) {
+            counter.increment();
+            consumer.accept(AiStreamEvent.delta(data, counter.get()));
+        }
+    }
+
+    private void applyJsonHeaders(HttpHeaders headers, String jsonText) {
+        if (!StringUtils.hasText(jsonText)) {
+            return;
+        }
+        try {
+            JSONObject json = JSON.parseObject(jsonText);
+            for (Map.Entry<String, Object> entry : json.entrySet()) {
+                if (entry.getValue() != null) {
+                    headers.set(entry.getKey(), String.valueOf(entry.getValue()));
+                }
+            }
+        } catch (Exception ignored) {
+        }
+    }
+
+    @FunctionalInterface
+    public interface DeltaExtractor {
+        String extract(JSONObject json);
+    }
+
+    public static class Counter {
+        private int value;
+
+        public void increment() {
+            value++;
+        }
+
+        public int get() {
+            return value;
+        }
+    }
+}

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

@@ -0,0 +1,23 @@
+package com.emotion.service.impl;
+
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.emotion.entity.AiCallLog;
+import com.emotion.mapper.AiCallLogMapper;
+import com.emotion.service.AiCallLogService;
+import org.springframework.stereotype.Service;
+
+import java.util.List;
+
+@Service
+public class AiCallLogServiceImpl extends ServiceImpl<AiCallLogMapper, AiCallLog> implements AiCallLogService {
+
+    @Override
+    public List<AiCallLog> latest(Integer limit) {
+        int size = limit == null ? 50 : Math.max(1, Math.min(limit, 200));
+        return list(new LambdaQueryWrapper<AiCallLog>()
+                .eq(AiCallLog::getIsDeleted, 0)
+                .orderByDesc(AiCallLog::getCreateTime)
+                .last("limit " + size));
+    }
+}

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

@@ -2,6 +2,8 @@ package com.emotion.service.impl;
 
 import com.alibaba.fastjson2.JSON;
 import com.alibaba.fastjson2.JSONObject;
+import com.emotion.dto.request.ai.AiRuntimeRequest;
+import com.emotion.dto.response.ai.AiRuntimeTestResponse;
 import com.emotion.entity.Message;
 import com.emotion.entity.Conversation;
 import com.emotion.entity.CozeApiCall;
@@ -14,6 +16,7 @@ import com.emotion.service.CozeApiCallService;
 import com.emotion.service.EmotionRecordService;
 import com.emotion.service.EmotionAnalysisService;
 import com.emotion.service.AiConfigService;
+import com.emotion.service.AiRuntimeService;
 import com.emotion.entity.AiConfig;
 import com.emotion.dto.request.*;
 import com.emotion.dto.response.*;
@@ -79,6 +82,9 @@ public class AiChatServiceImpl implements AiChatService {
     @Autowired
     private AiConfigService aiConfigService;
 
+    @Autowired
+    private AiRuntimeService aiRuntimeService;
+
     private static final String DEFAULT_USER_ID = "emotion-museum-user";
 
     // 使用场景常量
@@ -117,9 +123,10 @@ public class AiChatServiceImpl implements AiChatService {
             userMessage.setSender("user");
             userMessage = messageService.createMessage(userMessage);
 
-            // 调用Coze API（传入messageId）
+            String aiReply = invokeRuntimeScene("chat", request.getMessage(), request.getUserId(), Map.of(
-            String aiReply = sendMessageWithMessageId(request.getConversationId(), userMessage.getId(),
+                    "conversationId", request.getConversationId(),
-                    request.getMessage(), request.getUserId());
+                    "userMessageId", userMessage.getId()
+            ));
 
             // 保存AI回复
             Message aiMessage = new Message();
@@ -170,8 +177,9 @@ public class AiChatServiceImpl implements AiChatService {
             // 构建总结请求
             String summaryPrompt = "请为以下对话生成一个简洁的总结：\n\n" + conversationHistory;
 
-            // 调用AI生成总结 - 使用专门的总结bot
+            String summary = invokeRuntimeScene("emotion_summary", summaryPrompt, request.getUserId(), Map.of(
-            String summary = sendSummaryMessage(request.getConversationId(), summaryPrompt, request.getUserId());
+                    "conversationId", request.getConversationId()
+            ));
 
             log.info("对话总结生成完成: conversationId={}", request.getConversationId());
 
@@ -445,16 +453,12 @@ public class AiChatServiceImpl implements AiChatService {
 
     @Override
     public String sendMessage(String conversationId, String userMessage, String userId) {
-        log.info("发送消息到Coze AI: conversationId={}, userId={}", conversationId, userId);
+        log.info("发送聊天消息到AI运行时: conversationId={}, userId={}", conversationId, userId);
-
-        // 创建API调用记录（不包含messageId，用于向后兼容）
-        CozeApiCall apiCall = createApiCallRecord(conversationId, null, userMessage, userId, "chat");
 
         try {
-            return executeCozeApiCall(apiCall, conversationId, userMessage, userId);
+            return invokeRuntimeScene("chat", userMessage, userId, Map.of("conversationId", conversationId));
         } catch (Exception e) {
-            log.error("发送消息失败", e);
+            log.error("发送聊天消息失败", e);
-            updateApiCallFailure(apiCall, e.getMessage());
             return "抱歉，AI服务暂时不可用，请稍后再试。";
         }
     }
@@ -535,10 +539,13 @@ public class AiChatServiceImpl implements AiChatService {
             // Coze 中已经在工作流设置了提示词，目前不需要构建情绪分析提示词
             // String emotionPrompt = buildEmotionAnalysisPrompt(chatHistory);
 
-            // 调用Coze API进行情绪分析总结
             String conversationId = "emotion_summary_" + userId + "_"
                     + today.format(DateTimeFormatter.ofPattern("yyyyMMdd"));
-            String emotionSummary = sendSummaryMessage(conversationId, chatHistory, userId);
+            String emotionSummary = invokeRuntimeScene("emotion_summary", chatHistory, userId, Map.of(
+                    "conversationId", conversationId,
+                    "messageCount", todayMessages.size(),
+                    "recordDate", today.toString()
+            ));
             log.info("情绪分析总结生成完成: {}", emotionSummary);
 
             // 解析AI返回的情绪分析结果
@@ -572,18 +579,39 @@ public class AiChatServiceImpl implements AiChatService {
         return CompletableFuture.completedFuture(result);
     }
 
+    private String invokeRuntimeScene(String sceneCode, String input, String userId, Map<String, Object> extraInputs) {
+        JSONObject inputs = new JSONObject();
+        inputs.put("input", input);
+        inputs.put("message", input);
+        inputs.put("prompt", input);
+        if (extraInputs != null) {
+            inputs.putAll(extraInputs);
+        }
+
+        AiRuntimeRequest runtimeRequest = new AiRuntimeRequest();
+        runtimeRequest.setSceneCode(sceneCode);
+        runtimeRequest.setUserId(userId);
+        runtimeRequest.setInputs(inputs);
+
+        AiRuntimeTestResponse response = aiRuntimeService.test(runtimeRequest);
+        if (response == null) {
+            throw new IllegalStateException("AI_RUNTIME_EMPTY_RESPONSE");
+        }
+        if (!"success".equals(response.getStatus())) {
+            String message = response.getErrorMessage() != null ? response.getErrorMessage() : response.getErrorCode();
+            throw new IllegalStateException(message != null ? message : "AI_RUNTIME_FAILED");
+        }
+        return response.getOutput();
+    }
+
     @Override
     public String sendSummaryMessage(String conversationId, String userMessage, String userId) {
-        log.info("发送总结消息到Coze AI: conversationId={}, userId={}", conversationId, userId);
+        log.info("发送总结消息到AI运行时: conversationId={}, userId={}", conversationId, userId);
-
-        // 创建API调用记录（总结不需要messageId）
-        CozeApiCall apiCall = createSummaryApiCallRecord(conversationId, null, userMessage, userId, "summary");
 
         try {
-            return executeSummaryCozeApiCall(apiCall, conversationId, userMessage, userId);
+            return invokeRuntimeScene("emotion_summary", userMessage, userId, Map.of("conversationId", conversationId));
         } catch (Exception e) {
             log.error("发送总结消息失败", e);
-            updateApiCallFailure(apiCall, e.getMessage());
             return "抱歉，AI总结服务暂时不可用，请稍后再试。";
         }
     }
@@ -759,34 +787,17 @@ public class AiChatServiceImpl implements AiChatService {
      */
     private String sendMessageWithMessageId(String conversationId, String messageId, String userMessage,
             String userId) {
-        log.info("发送消息到Coze AI: conversationId={}, messageId={}, userId={}", conversationId, messageId, userId);
+        log.info("发送聊天消息到AI运行时: conversationId={}, messageId={}, userId={}", conversationId, messageId, userId);
-
-        // 1. 获取AI配置
-        AiConfig config = aiConfigService.getByConfigKey(COZE_CHAT_CONFIG_KEY);
-        if (config == null) {
-            log.error("未找到聊天场景的AI配置或配置已禁用: configKey={}", COZE_CHAT_CONFIG_KEY);
-            return "抱歉，AI服务暂时不可用，请稍后再试。";
-        }
-
-        // 2. 创建API调用记录（包含conversationId和messageId）
-        CozeApiCall apiCall = createChatWorkflowApiCallRecord(config, conversationId, messageId, userMessage, userId);
 
         try {
-            // 3. 构建工作流请求参数
+            return invokeRuntimeScene("chat", userMessage, userId, Map.of(
-            Map<String, Object> parameters = new HashMap<>();
+                    "conversationId", conversationId,
-            parameters.put("input", userMessage);
+                    "userMessageId", messageId
-            parameters.put("user_id", userId);
+            ));
-
-            // 4. 构建工作流请求体
-            Map<String, Object> requestBody = buildWorkflowRequest(config, parameters, userId);
-
-            // 5. 执行工作流调用（带API调用记录）
-            return executeWorkflowCallWithRecord(config, requestBody, COZE_CHAT_CONFIG_KEY, userId, apiCall);
 
         } catch (Exception e) {
-            log.error("发送消息失败: conversationId={}, messageId={}, error={}",
+            log.error("发送聊天消息失败: conversationId={}, messageId={}, error={}",
                     conversationId, messageId, e.getMessage(), e);
-            updateApiCallFailure(apiCall, e.getMessage());
             return "抱歉，AI服务暂时不可用，请稍后再试。";
         }
     }

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

@@ -0,0 +1,59 @@
+package com.emotion.service.impl;
+
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.emotion.entity.AiEndpointConfig;
+import com.emotion.mapper.AiEndpointConfigMapper;
+import com.emotion.service.AiEndpointConfigService;
+import org.springframework.stereotype.Service;
+import org.springframework.util.StringUtils;
+
+import java.util.List;
+
+@Service
+public class AiEndpointConfigServiceImpl extends ServiceImpl<AiEndpointConfigMapper, AiEndpointConfig> implements AiEndpointConfigService {
+
+    @Override
+    public List<AiEndpointConfig> listVisible() {
+        return list(new LambdaQueryWrapper<AiEndpointConfig>()
+                .eq(AiEndpointConfig::getIsDeleted, 0)
+                .orderByDesc(AiEndpointConfig::getCreateTime));
+    }
+
+    @Override
+    public AiEndpointConfig saveEndpoint(AiEndpointConfig endpoint) {
+        applyDefaults(endpoint);
+        save(endpoint);
+        return endpoint;
+    }
+
+    @Override
+    public AiEndpointConfig updateEndpoint(AiEndpointConfig endpoint) {
+        updateById(endpoint);
+        return getById(endpoint.getId());
+    }
+
+    @Override
+    public AiEndpointConfig getEnabledById(String id) {
+        AiEndpointConfig endpoint = getById(id);
+        if (endpoint == null || endpoint.getIsEnabled() == null || endpoint.getIsEnabled() != 1) {
+            return null;
+        }
+        return endpoint;
+    }
+
+    private void applyDefaults(AiEndpointConfig endpoint) {
+        if (!StringUtils.hasText(endpoint.getResponseMode())) {
+            endpoint.setResponseMode("streaming");
+        }
+        if (endpoint.getSupportStream() == null) {
+            endpoint.setSupportStream(1);
+        }
+        if (endpoint.getIsEnabled() == null) {
+            endpoint.setIsEnabled(1);
+        }
+        if (endpoint.getTimeoutMs() == null) {
+            endpoint.setTimeoutMs(60000);
+        }
+    }
+}

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

@@ -0,0 +1,72 @@
+package com.emotion.service.impl;
+
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.emotion.entity.AiProvider;
+import com.emotion.mapper.AiProviderMapper;
+import com.emotion.service.AiProviderService;
+import org.springframework.beans.BeanUtils;
+import org.springframework.stereotype.Service;
+import org.springframework.util.StringUtils;
+
+import java.util.List;
+import java.util.stream.Collectors;
+
+@Service
+public class AiProviderServiceImpl extends ServiceImpl<AiProviderMapper, AiProvider> implements AiProviderService {
+
+    @Override
+    public List<AiProvider> listVisible() {
+        return list(new LambdaQueryWrapper<AiProvider>()
+                .eq(AiProvider::getIsDeleted, 0)
+                .orderByDesc(AiProvider::getCreateTime))
+                .stream()
+                .map(this::maskSecret)
+                .collect(Collectors.toList());
+    }
+
+    @Override
+    public AiProvider saveProvider(AiProvider provider) {
+        if (provider.getIsEnabled() == null) {
+            provider.setIsEnabled(1);
+        }
+        if (!StringUtils.hasText(provider.getAuthType())) {
+            provider.setAuthType("bearer");
+        }
+        if (provider.getTimeoutMs() == null) {
+            provider.setTimeoutMs(60000);
+        }
+        save(provider);
+        return maskSecret(provider);
+    }
+
+    @Override
+    public AiProvider updateProvider(AiProvider provider) {
+        if (!StringUtils.hasText(provider.getApiKey()) || "******".equals(provider.getApiKey())) {
+            provider.setApiKey(null);
+        }
+        updateById(provider);
+        return maskSecret(getById(provider.getId()));
+    }
+
+    @Override
+    public AiProvider getEnabledById(String id) {
+        AiProvider provider = getById(id);
+        if (provider == null || provider.getIsEnabled() == null || provider.getIsEnabled() != 1) {
+            return null;
+        }
+        return provider;
+    }
+
+    private AiProvider maskSecret(AiProvider provider) {
+        if (provider == null) {
+            return null;
+        }
+        AiProvider copy = new AiProvider();
+        BeanUtils.copyProperties(provider, copy);
+        if (StringUtils.hasText(copy.getApiKey())) {
+            copy.setApiKey("******");
+        }
+        return copy;
+    }
+}

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

@@ -0,0 +1,32 @@
+package com.emotion.service.impl;
+
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.emotion.entity.AiSceneBinding;
+import com.emotion.mapper.AiSceneBindingMapper;
+import com.emotion.service.AiSceneBindingService;
+import org.springframework.stereotype.Service;
+
+import java.util.List;
+
+@Service
+public class AiSceneBindingServiceImpl extends ServiceImpl<AiSceneBindingMapper, AiSceneBinding> implements AiSceneBindingService {
+
+    @Override
+    public List<AiSceneBinding> listVisible() {
+        return list(new LambdaQueryWrapper<AiSceneBinding>()
+                .eq(AiSceneBinding::getIsDeleted, 0)
+                .orderByDesc(AiSceneBinding::getPriority)
+                .orderByDesc(AiSceneBinding::getCreateTime));
+    }
+
+    @Override
+    public AiSceneBinding resolveScene(String sceneCode) {
+        return getOne(new LambdaQueryWrapper<AiSceneBinding>()
+                .eq(AiSceneBinding::getSceneCode, sceneCode)
+                .eq(AiSceneBinding::getIsEnabled, 1)
+                .eq(AiSceneBinding::getIsDeleted, 0)
+                .orderByDesc(AiSceneBinding::getPriority)
+                .last("limit 1"));
+    }
+}

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

@@ -0,0 +1,117 @@
+package com.emotion.service.impl;
+
+import com.emotion.dto.response.asr.AsrTranscribeResponse;
+import com.emotion.service.AsrService;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.core.io.ByteArrayResource;
+import org.springframework.http.HttpEntity;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.MediaType;
+import org.springframework.http.ResponseEntity;
+import org.springframework.stereotype.Service;
+import org.springframework.util.LinkedMultiValueMap;
+import org.springframework.util.MultiValueMap;
+import org.springframework.util.StringUtils;
+import org.springframework.web.client.RestTemplate;
+import org.springframework.web.multipart.MultipartFile;
+
+import java.util.Locale;
+import java.util.Map;
+import java.util.Set;
+
+@Service
+public class AsrServiceImpl implements AsrService {
+
+    private final RestTemplate restTemplate;
+
+    @Value("${emotion.asr.enabled:true}")
+    private boolean enabled;
+
+    @Value("${emotion.asr.engine-url:http://127.0.0.1:19120}")
+    private String engineUrl;
+
+    @Value("${emotion.asr.max-file-size:10485760}")
+    private long maxFileSize;
+
+    @Value("${emotion.asr.allowed-types:wav,mp3,m4a,mp4,aac,amr}")
+    private String allowedTypes;
+
+    public AsrServiceImpl(RestTemplate restTemplate) {
+        this.restTemplate = restTemplate;
+    }
+
+    @Override
+    public AsrTranscribeResponse transcribe(MultipartFile file) {
+        validate(file);
+        try {
+            ByteArrayResource resource = new ByteArrayResource(file.getBytes()) {
+                @Override
+                public String getFilename() {
+                    return StringUtils.hasText(file.getOriginalFilename()) ? file.getOriginalFilename() : "voice.wav";
+                }
+            };
+
+            MultiValueMap<String, Object> body = new LinkedMultiValueMap<>();
+            body.add("file", resource);
+
+            HttpHeaders headers = new HttpHeaders();
+            headers.setContentType(MediaType.MULTIPART_FORM_DATA);
+            HttpEntity<MultiValueMap<String, Object>> request = new HttpEntity<>(body, headers);
+
+            ResponseEntity<Map> response = restTemplate.postForEntity(engineUrl + "/transcribe", request, Map.class);
+            Map<?, ?> data = response.getBody();
+            boolean success = data != null && Boolean.TRUE.equals(data.get("success"));
+            if (!success) {
+                String message = data == null ? "ASR service returned empty response" : String.valueOf(data.get("errorMessage"));
+                throw new IllegalStateException(message);
+            }
+
+            return AsrTranscribeResponse.builder()
+                    .text(stringValue(data.get("text")))
+                    .language(stringValue(data.get("language")))
+                    .durationMs(longValue(data.get("durationMs")))
+                    .engine(stringValue(data.get("engine")))
+                    .model(stringValue(data.get("model")))
+                    .build();
+        } catch (IllegalStateException e) {
+            throw e;
+        } catch (Exception e) {
+            throw new IllegalStateException("语音识别服务暂时不可用: " + e.getMessage(), e);
+        }
+    }
+
+    private void validate(MultipartFile file) {
+        if (!enabled) {
+            throw new IllegalStateException("语音识别功能未启用");
+        }
+        if (file == null || file.isEmpty()) {
+            throw new IllegalArgumentException("请上传语音文件");
+        }
+        if (file.getSize() > maxFileSize) {
+            throw new IllegalArgumentException("语音文件过大，请控制在10MB以内");
+        }
+
+        String filename = file.getOriginalFilename();
+        String extension = "";
+        if (StringUtils.hasText(filename) && filename.contains(".")) {
+            extension = filename.substring(filename.lastIndexOf('.') + 1).toLowerCase(Locale.ROOT);
+        }
+        Set<String> allowed = Set.of(allowedTypes.toLowerCase(Locale.ROOT).split(","));
+        if (StringUtils.hasText(extension) && !allowed.contains(extension)) {
+            throw new IllegalArgumentException("不支持的语音格式: " + extension);
+        }
+    }
+
+    private String stringValue(Object value) {
+        if (value == null) return null;
+        String text = String.valueOf(value);
+        return "null".equals(text) ? null : text;
+    }
+
+    private Long longValue(Object value) {
+        if (value instanceof Number) {
+            return ((Number) value).longValue();
+        }
+        return null;
+    }
+}

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

@@ -1,19 +1,22 @@
 package com.emotion.service.impl;
 
+import com.alibaba.fastjson2.JSONObject;
 import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
 import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
 import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
 import com.emotion.common.PageResult;
+import com.emotion.dto.request.ai.AiRuntimeRequest;
 import com.emotion.dto.request.EpicScriptCreateRequest;
 import com.emotion.dto.request.EpicScriptInspirationRequest;
 import com.emotion.dto.request.EpicScriptPageRequest;
 import com.emotion.dto.request.EpicScriptUpdateRequest;
+import com.emotion.dto.response.ai.AiRuntimeTestResponse;
 import com.emotion.dto.response.EpicScriptInspirationResponse;
 import com.emotion.dto.response.EpicScriptResponse;
 import com.emotion.dto.response.InspirationSuggestionResponse;
 import com.emotion.entity.EpicScript;
 import com.emotion.mapper.EpicScriptMapper;
-import com.emotion.service.AiChatService;
+import com.emotion.service.AiRuntimeService;
 import com.emotion.service.EpicScriptService;
 import com.emotion.service.LifePathService;
 import com.emotion.service.ScriptContextService;
@@ -62,14 +65,12 @@ public class EpicScriptServiceImpl extends ServiceImpl<EpicScriptMapper, EpicScr
     /**
      * Coze工作流配置键 - 爽文剧本生成
      */
-    private static final String COZE_EPIC_SCRIPT_CONFIG_KEY = "coze.course.life.generate";
-
     @Autowired
     @Lazy
     private LifePathService lifePathService;
 
     @Autowired
-    private AiChatService aiChatService;
+    private AiRuntimeService aiRuntimeService;
 
     @Autowired
     private ScriptContextService scriptContextService;
@@ -174,7 +175,10 @@ public class EpicScriptServiceImpl extends ServiceImpl<EpicScriptMapper, EpicScr
         script.setIsSelected(request.getIsSelected() != null && request.getIsSelected() ? 1 : 0);
 
         // 调用Coze AI生成剧本内容
-        String aiGeneratedContent = generateScriptByAi(request, currentUserId);
+        String existingContent = extractExistingGeneratedContent(script.getPlotJson());
+        String aiGeneratedContent = StringUtils.hasText(existingContent)
+                ? existingContent
+                : generateScriptByAi(request, currentUserId);
         if (aiGeneratedContent != null) {
             // 将AI生成的内容存储到plotJson中
             Map<String, Object> plotJson = script.getPlotJson();
@@ -278,8 +282,7 @@ public class EpicScriptServiceImpl extends ServiceImpl<EpicScriptMapper, EpicScr
             String input = assembleScriptInput(request, userId);
             log.info("开始调用AI生成剧本，用户ID: {}, 输入长度: {}", userId, input.length());
 
-            // 调用Coze工作流
+            String result = invokeScriptRuntime(request, input, userId);
-            String result = aiChatService.callWorkflowByConfigKey(COZE_EPIC_SCRIPT_CONFIG_KEY, input, userId);
 
             log.info("AI生成剧本完成，用户ID: {}, 结果长度: {}", userId, result != null ? result.length() : 0);
             return result;
@@ -291,6 +294,49 @@ public class EpicScriptServiceImpl extends ServiceImpl<EpicScriptMapper, EpicScr
         }
     }
 
+    private String invokeScriptRuntime(EpicScriptCreateRequest request, String input, String userId) {
+        JSONObject inputs = new JSONObject();
+        inputs.put("input", input);
+        inputs.put("prompt", StringUtils.hasText(request.getTheme()) ? request.getTheme() : input);
+        inputs.put("theme", request.getTheme());
+        inputs.put("style", request.getStyle());
+        inputs.put("length", request.getLength());
+        inputs.put("useSocialInsights", request.getUseSocialInsights());
+        return invokeRuntime("script_generate", inputs, userId);
+    }
+
+    private String invokeScriptRuntime(EpicScriptUpdateRequest request, String input, String userId) {
+        JSONObject inputs = new JSONObject();
+        inputs.put("input", input);
+        inputs.put("prompt", StringUtils.hasText(request.getTheme()) ? request.getTheme() : input);
+        inputs.put("theme", request.getTheme());
+        inputs.put("style", request.getStyle());
+        inputs.put("length", request.getLength());
+        inputs.put("useSocialInsights", request.getUseSocialInsights());
+        return invokeRuntime("script_generate", inputs, userId);
+    }
+
+    private String invokeRuntime(String sceneCode, JSONObject inputs, String userId) {
+        AiRuntimeRequest runtimeRequest = new AiRuntimeRequest();
+        runtimeRequest.setSceneCode(sceneCode);
+        runtimeRequest.setUserId(userId);
+        runtimeRequest.setInputs(inputs);
+        AiRuntimeTestResponse response = aiRuntimeService.test(runtimeRequest);
+        if (response == null || !"success".equals(response.getStatus()) || !StringUtils.hasText(response.getOutput())) {
+            String message = response == null ? "AI_RUNTIME_EMPTY_RESPONSE" : response.getErrorMessage();
+            throw new IllegalStateException(StringUtils.hasText(message) ? message : "AI_RUNTIME_EMPTY_RESPONSE");
+        }
+        return response.getOutput();
+    }
+
+    private String extractExistingGeneratedContent(Map<String, Object> plotJson) {
+        if (plotJson == null) {
+            return null;
+        }
+        Object fullContent = plotJson.get("fullContent");
+        return fullContent == null ? null : String.valueOf(fullContent);
+    }
+
     /**
      * 组装AI输入内容
      * 将EpicScriptCreateRequest的字段组装为格式化字符串
@@ -311,7 +357,9 @@ public class EpicScriptServiceImpl extends ServiceImpl<EpicScriptMapper, EpicScr
             sb.append("【过往经历】").append(request.getLifeEventsSummary()).append("\n");
         }
 
-        String socialContext = scriptContextService.buildSocialInsightContext(userId, request.getUseSocialInsights());
+        String socialContext = scriptContextService == null
+                ? null
+                : scriptContextService.buildSocialInsightContext(userId, request.getUseSocialInsights());
         if (StringUtils.hasText(socialContext)) {
             sb.append(socialContext).append("\n");
         }
@@ -361,6 +409,10 @@ public class EpicScriptServiceImpl extends ServiceImpl<EpicScriptMapper, EpicScr
         return sb.toString().trim();
     }
 
+    private String assembleScriptInput(EpicScriptCreateRequest request) {
+        return assembleScriptInput(request, null);
+    }
+
     /**
      * 获取风格描述
      *
@@ -478,8 +530,7 @@ public class EpicScriptServiceImpl extends ServiceImpl<EpicScriptMapper, EpicScr
             String input = assembleUpdateScriptInput(request, script, userId);
             log.info("开始调用AI重新生成剧本，用户ID: {}, 剧本ID: {}", userId, script.getId());
 
-            // 调用Coze工作流
+            String result = invokeScriptRuntime(request, input, userId);
-            String result = aiChatService.callWorkflowByConfigKey(COZE_EPIC_SCRIPT_CONFIG_KEY, input, userId);
 
             log.info("AI重新生成剧本完成，用户ID: {}, 结果长度: {}", userId, result != null ? result.length() : 0);
             return result;
@@ -514,7 +565,9 @@ public class EpicScriptServiceImpl extends ServiceImpl<EpicScriptMapper, EpicScr
             sb.append("【过往经历】").append(lifeEventsSummary).append("\n");
         }
 
-        String socialContext = scriptContextService.buildSocialInsightContext(userId, request.getUseSocialInsights());
+        String socialContext = scriptContextService == null
+                ? null
+                : scriptContextService.buildSocialInsightContext(userId, request.getUseSocialInsights());
         if (StringUtils.hasText(socialContext)) {
             sb.append(socialContext).append("\n");
         }

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

@@ -3,16 +3,19 @@ package com.emotion.service.impl;
 import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
 import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
 import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.alibaba.fastjson2.JSONObject;
 import com.emotion.common.PageResult;
 import com.emotion.dto.request.LifeEventCreateRequest;
 import com.emotion.dto.request.LifeEventPageRequest;
 import com.emotion.dto.request.LifeEventUpdateRequest;
+import com.emotion.dto.request.ai.AiRuntimeRequest;
+import com.emotion.dto.response.ai.AiRuntimeTestResponse;
 import com.emotion.dto.response.LifeEventResponse;
 import com.emotion.entity.LifeEvent;
 import com.emotion.mapper.LifeEventMapper;
+import com.emotion.service.AiRuntimeService;
 import com.emotion.service.LifeEventService;
 import com.emotion.util.UserContextHolder;
-import com.emotion.service.AiChatService;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.beans.BeanUtils;
@@ -44,13 +47,8 @@ public class LifeEventServiceImpl extends ServiceImpl<LifeEventMapper, LifeEvent
     private static final DateTimeFormatter DATE_ONLY_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd");
     private static final DateTimeFormatter YEAR_MONTH_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM");
 
-    /**
-     * Coze工作流配置键 - AI疗愈
-     */
-    private static final String COZE_HEALING_CONFIG_KEY = "coze.user.dairy.summary";
-
     @Autowired
-    private AiChatService aiChatService;
+    private AiRuntimeService aiRuntimeService;
 
     @Override
     public PageResult<LifeEventResponse> getPageByCurrentUser(LifeEventPageRequest request) {
@@ -158,10 +156,11 @@ public class LifeEventServiceImpl extends ServiceImpl<LifeEventMapper, LifeEvent
             event.setEmotionScore(BigDecimal.valueOf(request.getEmotionScore()));
         }
 
-        // 调用Coze AI进行疗愈回复
+        if (!StringUtils.hasText(event.getAiReply())) {
-        String aiGeneratedContent = generateHealingByAi(event);
+            String aiGeneratedContent = generateHealingByAi(event);
-        if (StringUtils.hasText(aiGeneratedContent)) {
+            if (StringUtils.hasText(aiGeneratedContent)) {
-            event.setAiReply(aiGeneratedContent);
+                event.setAiReply(aiGeneratedContent);
+            }
         }
 
         this.save(event);
@@ -180,8 +179,23 @@ public class LifeEventServiceImpl extends ServiceImpl<LifeEventMapper, LifeEvent
             String input = assembleHealingInput(event);
             log.info("开始调用AI生成疗愈回复，用户ID: {}, 输入长度: {}", event.getUserId(), input.length());
 
-            // 调用Coze工作流
+            JSONObject inputs = new JSONObject();
-            String result = aiChatService.callWorkflowByConfigKey(COZE_HEALING_CONFIG_KEY, input, event.getUserId());
+            inputs.put("mode", "life_event_analysis");
+            inputs.put("input", input);
+            inputs.put("message", input);
+            inputs.put("content", event.getContent());
+            inputs.put("title", event.getTitle());
+            inputs.put("emotionType", event.getEmotionType());
+            inputs.put("eventType", event.getEventType());
+            inputs.put("eventDate", event.getEventDateText());
+
+            AiRuntimeRequest runtimeRequest = new AiRuntimeRequest();
+            runtimeRequest.setSceneCode("life_healing");
+            runtimeRequest.setUserId(event.getUserId());
+            runtimeRequest.setInputs(inputs);
+
+            AiRuntimeTestResponse response = aiRuntimeService.test(runtimeRequest);
+            String result = response != null ? response.getOutput() : null;
 
             log.info("AI生成疗愈回复完成，用户ID: {}, 结果长度: {}", event.getUserId(), result != null ? result.length() : 0);
             return result;
@@ -238,6 +252,8 @@ public class LifeEventServiceImpl extends ServiceImpl<LifeEventMapper, LifeEvent
             return null;
         }
 
+        boolean hasClientAiReply = request.getAiReply() != null;
+
         // 更新字段
         if (StringUtils.hasText(request.getEventType())) {
             event.setEventType(request.getEventType());
@@ -273,10 +289,11 @@ public class LifeEventServiceImpl extends ServiceImpl<LifeEventMapper, LifeEvent
             event.setEmotionScore(BigDecimal.valueOf(request.getEmotionScore()));
         }
 
-        // 调用Coze AI进行疗愈回复
+        if (!hasClientAiReply) {
-        String aiGeneratedContent = generateHealingByAi(event);
+            String aiGeneratedContent = generateHealingByAi(event);
-        if (StringUtils.hasText(aiGeneratedContent)) {
+            if (StringUtils.hasText(aiGeneratedContent)) {
-            event.setAiReply(aiGeneratedContent);
+                event.setAiReply(aiGeneratedContent);
+            }
         }
 
         this.updateById(event);

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

@@ -1,13 +1,16 @@
 package com.emotion.service.impl;
 
+import com.alibaba.fastjson2.JSONObject;
+import com.emotion.dto.request.ai.AiRuntimeRequest;
 import com.emotion.dto.request.WebSocketRequest;
+import com.emotion.dto.response.ai.AiStreamEvent;
 import com.emotion.dto.websocket.ChatRequest;
 import com.emotion.dto.websocket.ConnectRequest;
 import com.emotion.dto.websocket.WebSocketMessage;
 import com.emotion.entity.Message;
 import com.emotion.entity.Conversation;
 import com.emotion.service.WebSocketService;
-import com.emotion.service.AiChatService;
+import com.emotion.service.AiRuntimeService;
 import com.emotion.service.MessageService;
 import com.emotion.service.ConversationService;
 import com.emotion.util.SnowflakeIdGenerator;
@@ -36,7 +39,7 @@ public class WebSocketServiceImpl implements WebSocketService {
     private SimpMessagingTemplate messagingTemplate;
 
     @Autowired
-    private AiChatService aiChatService;
+    private AiRuntimeService aiRuntimeService;
 
     @Autowired
     private MessageService messageService;
@@ -238,16 +241,11 @@ public class WebSocketServiceImpl implements WebSocketService {
                 userMessage.setCozeContentType("text");
                 userMessage = messageService.createMessage(userMessage);
 
-                // 调用AI服务（WebSocket专用方法，传递messageId）
+                String aiMessageId = snowflakeIdGenerator.nextIdAsString();
-                String aiReply = aiChatService.sendChatMessageForWebSocket(
+                String aiReply = streamChatReply(userId, conversationId, userMessage.getId(), aiMessageId, request.getContent());
-                        conversationId,
+                if (StringUtils.hasText(aiReply)) {
-                        userMessage.getId(),  // 传递用户消息ID
+                    saveAiMessageOnly(userId, conversationId, aiMessageId, aiReply);
-                        request.getContent(),
+                }
-                        userId
-                );
-
-                // 根据换行符分割AI回复并按顺序发送多条消息
-                sendAiReplyInParts(userId, conversationId, aiReply);
 
                 // 更新会话的最后活跃时间和消息数量
                 updateConversationActivity(conversationId);
@@ -262,6 +260,85 @@ public class WebSocketServiceImpl implements WebSocketService {
     /**
      * 发送错误消息
      */
+    private String streamChatReply(String userId, String conversationId, String userMessageId, String aiMessageId, String content) {
+        StringBuilder output = new StringBuilder();
+        AiRuntimeRequest runtimeRequest = new AiRuntimeRequest();
+        runtimeRequest.setSceneCode("chat");
+        runtimeRequest.setUserId(userId);
+        runtimeRequest.setRequestId(aiMessageId);
+
+        JSONObject inputs = new JSONObject();
+        inputs.put("input", content);
+        inputs.put("message", content);
+        inputs.put("prompt", content);
+        inputs.put("conversationId", conversationId);
+        inputs.put("userMessageId", userMessageId);
+        runtimeRequest.setInputs(inputs);
+
+        aiRuntimeService.invokeStream(runtimeRequest, event -> {
+            if ("delta".equals(event.getType()) && event.getContent() != null) {
+                output.append(event.getContent());
+            }
+            sendAiStreamEvent(userId, conversationId, aiMessageId, event);
+        });
+        return output.toString();
+    }
+
+    private void sendAiStreamEvent(String userId, String conversationId, String aiMessageId, AiStreamEvent event) {
+        String type = switch (event.getType()) {
+            case "start" -> "AI_STREAM_START";
+            case "delta" -> "AI_STREAM_DELTA";
+            case "done" -> "AI_STREAM_DONE";
+            case "error" -> "AI_STREAM_ERROR";
+            default -> "AI_STREAM_EVENT";
+        };
+
+        JSONObject data = new JSONObject();
+        data.put("eventType", event.getType());
+        data.put("code", event.getCode());
+        data.put("message", event.getMessage());
+        data.put("seq", event.getSeq());
+        data.put("timestamp", event.getTimestamp());
+        data.put("metadata", event.getMetadata());
+
+        String messageContent = event.getContent();
+        if (!StringUtils.hasText(messageContent)) {
+            messageContent = StringUtils.hasText(event.getMessage()) ? event.getMessage() : "";
+        }
+
+        WebSocketMessage wsMessage = WebSocketMessage.builder()
+                .messageId(aiMessageId)
+                .conversationId(conversationId)
+                .type(type)
+                .content(messageContent)
+                .senderId("ai")
+                .senderType("AI")
+                .status("SENT")
+                .createTime(LocalDateTime.now())
+                .data(data)
+                .build();
+
+        messagingTemplate.convertAndSendToUser(userId, "/queue/messages", wsMessage);
+        if (conversationId != null) {
+            messagingTemplate.convertAndSend("/topic/conversation/" + conversationId, wsMessage);
+        }
+    }
+
+    private void saveAiMessageOnly(String userId, String conversationId, String messageId, String content) {
+        Message aiMessage = new Message();
+        aiMessage.setId(messageId);
+        aiMessage.setConversationId(conversationId);
+        aiMessage.setUserId(userId);
+        aiMessage.setCreateBy("ai");
+        aiMessage.setContent(content);
+        aiMessage.setType("text");
+        aiMessage.setSender("ai");
+        aiMessage.setCozeRole("assistant");
+        aiMessage.setCozeContentType("text");
+        aiMessage.setTimestamp(LocalDateTime.now());
+        messageService.createMessage(aiMessage);
+    }
+
     private void sendErrorMessage(String userId, String errorContent) {
         WebSocketMessage errorMessage = WebSocketMessage.builder()
                 .messageId(UUID.randomUUID().toString())

backend-single/src/main/resources/application-prod.yml

@@ -5,6 +5,11 @@ server:
   port: 19089
 
 spring:
+  servlet:
+    multipart:
+      max-file-size: 10MB
+      max-request-size: 10MB
+
   # 数据库配置 - 生产MySQL
   datasource:
     driver-class-name: com.mysql.cj.jdbc.Driver
@@ -65,6 +70,13 @@ emotion:
     max-text-length: 5000
     default-voice: default_zh_female
 
+  # Speech-to-text config
+  asr:
+    enabled: true
+    engine-url: http://127.0.0.1:19120
+    max-file-size: 10485760
+    allowed-types: wav,mp3,m4a,mp4,aac,amr
+  
   # 生产模式配置
   prod:
     performance-monitoring: true

backend-single/src/main/resources/application.yml

@@ -7,6 +7,11 @@ spring:
   application:
     name: emotion-single
 
+  servlet:
+    multipart:
+      max-file-size: 10MB
+      max-request-size: 10MB
+
   profiles:
     active: ${SPRING_PROFILES_ACTIVE:local}
 
@@ -102,6 +107,13 @@ emotion:
     max-text-length: 5000
     default-voice: default_zh_female
 
+  # Speech-to-text config
+  asr:
+    enabled: true
+    engine-url: http://127.0.0.1:19120
+    max-file-size: 10485760
+    allowed-types: wav,mp3,m4a,mp4,aac,amr
+
   # 安全配置
   security:
     ignore-urls:

backend-single/src/test/java/com/emotion/controller/AuthControllerTest.java

@@ -1,9 +1,13 @@
 package com.emotion.controller;
 
 import com.emotion.service.AuthService;
+import com.emotion.service.TokenService;
+import com.emotion.util.JwtUtil;
+import org.junit.jupiter.api.BeforeEach;
 import org.junit.jupiter.api.Test;
 import org.springframework.beans.factory.annotation.Autowired;
-import org.springframework.boot.test.autoconfigure.web.servlet.WebMvcTest;
+import org.springframework.boot.test.autoconfigure.web.servlet.AutoConfigureMockMvc;
+import org.springframework.boot.test.context.SpringBootTest;
 import org.springframework.boot.test.mock.mockito.MockBean;
 import org.springframework.test.web.servlet.MockMvc;
 
@@ -17,7 +21,8 @@ import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.
  * @author huazhongmin
  * @date 2025-07-26
  */
-@WebMvcTest(AuthController.class)
+@SpringBootTest
+@AutoConfigureMockMvc(addFilters = false)
 public class AuthControllerTest {
 
     @Autowired
@@ -26,13 +31,28 @@ public class AuthControllerTest {
     @MockBean
     private AuthService authService;
 
+    @MockBean
+    private JwtUtil jwtUtil;
+
+    @MockBean
+    private TokenService tokenService;
+
+    @BeforeEach
+    public void setUp() {
+        when(jwtUtil.validateToken("test-token")).thenReturn(true);
+        when(jwtUtil.getUserIdFromToken("test-token")).thenReturn("test-user");
+        when(jwtUtil.getUsernameFromToken("test-token")).thenReturn("tester");
+        when(jwtUtil.getUserTypeFromToken("test-token")).thenReturn("user");
+    }
+
     @Test
     public void testCheckAccountExists() throws Exception {
         // 模拟账户存在的情况
         when(authService.existsByAccount("existingUser")).thenReturn(true);
 
-        mockMvc.perform(get("/auth/check-account")
+        mockMvc.perform(get("/api/auth/checkAccount").contextPath("/api")
-                .param("account", "existingUser"))
+                .param("account", "existingUser")
+                .header("Authorization", "Bearer test-token"))
                 .andExpect(status().isOk())
                 .andExpect(jsonPath("$.code").value(200))
                 .andExpect(jsonPath("$.data").value(true));
@@ -43,8 +63,9 @@ public class AuthControllerTest {
         // 模拟账户不存在的情况
         when(authService.existsByAccount("nonExistingUser")).thenReturn(false);
 
-        mockMvc.perform(get("/auth/check-account")
+        mockMvc.perform(get("/api/auth/checkAccount").contextPath("/api")
-                .param("account", "nonExistingUser"))
+                .param("account", "nonExistingUser")
+                .header("Authorization", "Bearer test-token"))
                 .andExpect(status().isOk())
                 .andExpect(jsonPath("$.code").value(200))
                 .andExpect(jsonPath("$.data").value(false));
@@ -55,8 +76,9 @@ public class AuthControllerTest {
         // 模拟邮箱存在的情况
         when(authService.existsByEmail("existing@example.com")).thenReturn(true);
 
-        mockMvc.perform(get("/auth/check-email")
+        mockMvc.perform(get("/api/auth/checkEmail").contextPath("/api")
-                .param("email", "existing@example.com"))
+                .param("email", "existing@example.com")
+                .header("Authorization", "Bearer test-token"))
                 .andExpect(status().isOk())
                 .andExpect(jsonPath("$.code").value(200))
                 .andExpect(jsonPath("$.data").value(true));
@@ -67,8 +89,9 @@ public class AuthControllerTest {
         // 模拟邮箱不存在的情况
         when(authService.existsByEmail("nonexisting@example.com")).thenReturn(false);
 
-        mockMvc.perform(get("/auth/check-email")
+        mockMvc.perform(get("/api/auth/checkEmail").contextPath("/api")
-                .param("email", "nonexisting@example.com"))
+                .param("email", "nonexisting@example.com")
+                .header("Authorization", "Bearer test-token"))
                 .andExpect(status().isOk())
                 .andExpect(jsonPath("$.code").value(200))
                 .andExpect(jsonPath("$.data").value(false));
@@ -79,8 +102,9 @@ public class AuthControllerTest {
         // 模拟手机号存在的情况
         when(authService.existsByPhone("13800138000")).thenReturn(true);
 
-        mockMvc.perform(get("/auth/check-phone")
+        mockMvc.perform(get("/api/auth/checkPhone").contextPath("/api")
-                .param("phone", "13800138000"))
+                .param("phone", "13800138000")
+                .header("Authorization", "Bearer test-token"))
                 .andExpect(status().isOk())
                 .andExpect(jsonPath("$.code").value(200))
                 .andExpect(jsonPath("$.data").value(true));
@@ -91,8 +115,9 @@ public class AuthControllerTest {
         // 模拟手机号不存在的情况
         when(authService.existsByPhone("13900139000")).thenReturn(false);
 
-        mockMvc.perform(get("/auth/check-phone")
+        mockMvc.perform(get("/api/auth/checkPhone").contextPath("/api")
-                .param("phone", "13900139000"))
+                .param("phone", "13900139000")
+                .header("Authorization", "Bearer test-token"))
                 .andExpect(status().isOk())
                 .andExpect(jsonPath("$.code").value(200))
                 .andExpect(jsonPath("$.data").value(false));

backend-single/src/test/java/com/emotion/service/CozeWorkflowIntegrationTest.java

@@ -10,6 +10,7 @@ import org.junit.jupiter.api.RepeatedTest;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.boot.test.context.SpringBootTest;
 import org.springframework.test.context.ActiveProfiles;
+import org.springframework.test.util.AopTestUtils;
 
 import java.lang.reflect.Method;
 import java.util.HashMap;
@@ -36,6 +37,8 @@ public class CozeWorkflowIntegrationTest {
     @Autowired
     private AiChatService aiChatService;
 
+    private AiChatServiceImpl aiChatServiceImpl;
+    
     @Autowired
     private AiConfigService aiConfigService;
     
@@ -49,6 +52,7 @@ public class CozeWorkflowIntegrationTest {
     @BeforeEach
     public void setUp() {
         random = new Random();
+        aiChatServiceImpl = AopTestUtils.getTargetObject(aiChatService);
     }
 
     // ==================== Property 1: Request Format Correctness ====================
@@ -82,7 +86,7 @@ public class CozeWorkflowIntegrationTest {
         
         @SuppressWarnings("unchecked")
         Map<String, Object> requestBody = (Map<String, Object>) buildWorkflowRequestMethod.invoke(
-                aiChatService, config, parameters, userId);
+                aiChatServiceImpl, config, parameters, userId);
         
         // 验证必需字段
         // 2.1: workflow_id - 应该与数据库配置一致
@@ -155,7 +159,7 @@ public class CozeWorkflowIntegrationTest {
         parseMethod.setAccessible(true);
         
         java.util.stream.Stream<String> lines = sseResponse.lines();
-        String result = (String) parseMethod.invoke(aiChatService, lines);
+        String result = (String) parseMethod.invoke(aiChatServiceImpl, lines);
         
         // 验证正确提取output内容
         assertEquals("这是AI生成的内容", result, 
@@ -184,7 +188,7 @@ public class CozeWorkflowIntegrationTest {
         parseMethod.setAccessible(true);
         
         java.util.stream.Stream<String> lines = sseResponse.lines();
-        String result = (String) parseMethod.invoke(aiChatService, lines);
+        String result = (String) parseMethod.invoke(aiChatServiceImpl, lines);
         
         // 验证正确提取随机output内容
         assertEquals(randomOutput, result, 
@@ -218,7 +222,7 @@ public class CozeWorkflowIntegrationTest {
         parseMethod.setAccessible(true);
         
         java.util.stream.Stream<String> lines = sseResponse.lines();
-        String result = (String) parseMethod.invoke(aiChatService, lines);
+        String result = (String) parseMethod.invoke(aiChatServiceImpl, lines);
         
         // 验证只提取End节点的内容
         assertEquals("最终输出内容", result, 
@@ -244,7 +248,7 @@ public class CozeWorkflowIntegrationTest {
         parseMethod.setAccessible(true);
         
         java.util.stream.Stream<String> lines = sseResponse.lines();
-        String result = (String) parseMethod.invoke(aiChatService, lines);
+        String result = (String) parseMethod.invoke(aiChatServiceImpl, lines);
         
         // 当content不是JSON或没有output字段时，应返回原始content
         assertEquals("直接内容，没有output字段", result, 
@@ -276,7 +280,7 @@ public class CozeWorkflowIntegrationTest {
         
         @SuppressWarnings("unchecked")
         Map<String, Object> mergedParams = (Map<String, Object>) mergeMethod.invoke(
-                aiChatService, config, runtimeParams);
+                aiChatServiceImpl, config, runtimeParams);
         
         // 验证运行时参数被正确设置
         assertEquals(runtimeInput, mergedParams.get("input"), 
@@ -295,7 +299,7 @@ public class CozeWorkflowIntegrationTest {
         extractMethod.setAccessible(true);
         
         String content = "{\"output\":\"提取的内容\"}";
-        String result = (String) extractMethod.invoke(aiChatService, content);
+        String result = (String) extractMethod.invoke(aiChatServiceImpl, content);
         
         assertEquals("提取的内容", result, "应正确提取output字段");
     }
@@ -308,7 +312,7 @@ public class CozeWorkflowIntegrationTest {
         extractMethod.setAccessible(true);
         
         String content = "这不是JSON内容";
-        String result = (String) extractMethod.invoke(aiChatService, content);
+        String result = (String) extractMethod.invoke(aiChatServiceImpl, content);
         
         assertEquals("这不是JSON内容", result, "非JSON内容应原样返回");
     }
@@ -324,7 +328,7 @@ public class CozeWorkflowIntegrationTest {
         String randomOutput = "随机输出_" + UUID.randomUUID().toString();
         String content = "{\"output\":\"" + randomOutput + "\"}";
         
-        String result = (String) extractMethod.invoke(aiChatService, content);
+        String result = (String) extractMethod.invoke(aiChatServiceImpl, content);
         
         assertEquals(randomOutput, result, "应正确提取随机生成的output内容");
     }

docs/dify平台接口.md

@@ -0,0 +1,878 @@
+# Dify 平台接口文档
+
+> 内部接口文档：本文包含可用 API Key，请勿提交到公开仓库或外部分享。
+
+## 1. 基本信息
+
+| 项 | 值 |
+| --- | --- |
+| 服务器端地址 | `http://49.232.138.53/v1` |
+| 鉴权方式 | `Authorization: Bearer {API_KEY}` |
+| API Key | `app-MqQOx09gCu9zzlKMpeLqHQHv` |
+| 适用应用 | 短片小说生成、剧本生成 |
+
+## 2. 通用鉴权
+
+Service API 使用 API-Key 进行鉴权。所有 API 请求都应在 `Authorization` HTTP Header 中携带 API Key。
+
+```http
+Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv
+```
+
+建议只在后端服务中保存和调用 API Key，避免将 Key 暴露到小程序、Web 前端或其它客户端。
+
+## 3. 接口总览
+
+| 方法 | 路径 | 说明 |
+| --- | --- | --- |
+| `POST` | `/chat-messages` | 发送对话消息 |
+| `POST` | `/files/upload` | 上传文件 |
+| `GET` | `/files/:file_id/preview` | 文件预览 |
+| `POST` | `/chat-messages/:task_id/stop` | 停止响应 |
+| `POST` | `/messages/:message_id/feedbacks` | 消息反馈 |
+| `GET` | `/app/feedbacks` | 获取 App 的消息点赞和反馈 |
+| `GET` | `/messages/{message_id}/suggested` | 获取下一轮建议问题列表 |
+| `GET` | `/messages` | 获取会话历史消息 |
+| `GET` | `/conversations` | 获取会话列表 |
+| `DELETE` | `/conversations/:conversation_id` | 删除会话 |
+| `POST` | `/conversations/:conversation_id/name` | 会话重命名 |
+| `GET` | `/conversations/:conversation_id/variables` | 获取对话变量 |
+| `PUT` | `/conversations/:conversation_id/variables/:variable_id` | 更新对话变量 |
+| `POST` | `/audio-to-text` | 语音转文字 |
+| `POST` | `/text-to-audio` | 文字转语音 |
+| `GET` | `/info` | 获取应用基本信息 |
+| `GET` | `/parameters` | 获取应用参数 |
+| `GET` | `/meta` | 获取应用 Meta 信息 |
+| `GET` | `/site` | 获取应用 WebApp 设置 |
+| `GET` | `/apps/annotations` | 获取标注列表 |
+| `POST` | `/apps/annotations` | 创建标注 |
+| `PUT` | `/apps/annotations/{annotation_id}` | 更新标注 |
+| `DELETE` | `/apps/annotations/{annotation_id}` | 删除标注 |
+| `POST` | `/apps/annotation-reply/{action}` | 标注回复初始设置 |
+| `GET` | `/apps/annotation-reply/{action}/status/{job_id}` | 查询标注回复初始设置任务状态 |
+
+## 4. 应用说明
+
+### 4.1 短片小说生成
+
+短片小说生成使用 Dify 对话型应用 API。接口路径、鉴权方式、请求参数和响应结构与本文后续章节一致。
+
+### 4.2 剧本生成
+
+剧本生成使用 Dify 工作流编排对话型应用 API。对话应用支持会话持久化，可将之前的聊天记录作为上下文继续回答，适用于聊天、客服 AI、脚本生成等场景。
+
+## 5. 对话接口
+
+### 5.1 发送对话消息
+
+`POST /chat-messages`
+
+创建会话消息。
+
+#### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `query` | `string` | 是 | 用户输入或提问内容。 |
+| `inputs` | `object` | 否 | App 定义的变量值，默认为 `{}`。如果变量是文件类型，请按 `files` 中的文件结构传入。 |
+| `response_mode` | `string` | 是 | 响应模式：`streaming` 为流式模式，`blocking` 为阻塞模式。推荐使用 `streaming`。 |
+| `user` | `string` | 是 | 终端用户标识。由开发者定义，需保证在应用内唯一。 |
+| `conversation_id` | `string` | 否 | 会话 ID。继续历史会话时传入之前响应中的 `conversation_id`。 |
+| `files` | `array<object>` | 否 | 文件列表。适用于模型支持 Vision/Video 能力时的图文、多模态理解。 |
+| `auto_generate_name` | `bool` | 否 | 是否自动生成会话标题，默认 `true`。 |
+| `workflow_id` | `string` | 否 | 工作流 ID。用于指定特定已发布版本，不传则使用默认已发布版本。 |
+| `trace_id` | `string` | 否 | 链路追踪 ID。也可通过 Header `X-Trace-Id` 或查询参数 `trace_id` 传递。优先级：Header > Query > Body。 |
+
+#### `files` 参数结构
+
+| 字段 | 类型 | 说明 |
+| --- | --- | --- |
+| `type` | `string` | 文件类型，支持 `document`、`image`、`audio`、`video`、`custom`。 |
+| `transfer_method` | `string` | 文件传递方式：`remote_url` 或 `local_file`。 |
+| `url` | `string` | 文件地址。仅当 `transfer_method` 为 `remote_url` 时使用。 |
+| `upload_file_id` | `string` | 上传文件 ID。仅当 `transfer_method` 为 `local_file` 时使用。 |
+
+文件类型支持范围：
+
+| 类型 | 支持格式 |
+| --- | --- |
+| `document` | `TXT`、`MD`、`MARKDOWN`、`MDX`、`PDF`、`HTML`、`XLSX`、`XLS`、`VTT`、`PROPERTIES`、`DOC`、`DOCX`、`CSV`、`EML`、`MSG`、`PPTX`、`PPT`、`XML`、`EPUB` |
+| `image` | `JPG`、`JPEG`、`PNG`、`GIF`、`WEBP`、`SVG` |
+| `audio` | `MP3`、`M4A`、`WAV`、`WEBM`、`MPGA` |
+| `video` | `MP4`、`MOV`、`MPEG`、`WEBM` |
+| `custom` | 其它文件类型 |
+
+#### 响应说明
+
+当 `response_mode` 为 `blocking` 时，返回 `ChatCompletionResponse`。当 `response_mode` 为 `streaming` 时，返回 `ChunkChatCompletionResponse` 流式序列。
+
+##### ChatCompletionResponse
+
+| 字段 | 类型 | 说明 |
+| --- | --- | --- |
+| `event` | `string` | 事件类型，固定为 `message`。 |
+| `task_id` | `string` | 任务 ID，可用于停止响应接口。 |
+| `id` | `string` | 唯一 ID。 |
+| `message_id` | `string` | 消息唯一 ID。 |
+| `conversation_id` | `string` | 会话 ID。 |
+| `mode` | `string` | App 模式，固定为 `chat`。 |
+| `answer` | `string` | 完整回复内容。 |
+| `metadata` | `object` | 元数据。 |
+| `usage` | `Usage` | 模型用量信息。 |
+| `retriever_resources` | `array<RetrieverResource>` | 引用和归属分段列表。 |
+| `created_at` | `int` | 消息创建时间戳，例如 `1705395332`。 |
+
+##### ChunkChatCompletionResponse
+
+流式响应的 `Content-Type` 为 `text/event-stream`。每个流式块以 `data:` 开头，块之间使用两个换行符分隔。
+
+常见事件：
+
+| 事件 | 说明 |
+| --- | --- |
+| `message` | LLM 文本块事件。 |
+| `message_file` | 文件事件，表示有新文件需要展示。 |
+| `message_end` | 消息结束事件，收到后表示流式返回结束。 |
+| `tts_message` | TTS 音频流事件。 |
+| `tts_message_end` | TTS 音频流结束事件。 |
+| `message_replace` | 消息内容替换事件，通常用于内容审查命中后的预设回复。 |
+| `workflow_started` | 工作流开始执行。 |
+| `node_started` | 工作流节点开始执行。 |
+| `node_finished` | 工作流节点执行结束。 |
+| `workflow_finished` | 工作流执行结束。 |
+| `error` | 流式输出过程中出现异常。 |
+| `ping` | 每 10 秒一次的连接保活事件。 |
+
+#### 请求示例
+
+```bash
+curl -X POST 'http://49.232.138.53/v1/chat-messages' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --header 'Content-Type: application/json' \
+  --data-raw '{
+    "inputs": {},
+    "query": "What are the specs of the iPhone 13 Pro Max?",
+    "response_mode": "streaming",
+    "conversation_id": "",
+    "user": "abc-123",
+    "files": [
+      {
+        "type": "image",
+        "transfer_method": "remote_url",
+        "url": "https://cloud.dify.ai/logo/logo-site.png"
+      }
+    ]
+  }'
+```
+
+#### 阻塞模式响应示例
+
+```json
+{
+  "event": "message",
+  "task_id": "c3800678-a077-43df-a102-53f23ed20b88",
+  "id": "9da23599-e713-473b-982c-4328d4f5c78a",
+  "message_id": "9da23599-e713-473b-982c-4328d4f5c78a",
+  "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2",
+  "mode": "chat",
+  "answer": "iPhone 13 Pro Max specs are listed here:...",
+  "metadata": {
+    "usage": {
+      "prompt_tokens": 1033,
+      "completion_tokens": 128,
+      "total_tokens": 1161,
+      "total_price": "0.0012890",
+      "currency": "USD",
+      "latency": 0.7682376249867957
+    },
+    "retriever_resources": []
+  },
+  "created_at": 1705407629
+}
+```
+
+#### 流式模式响应示例
+
+```text
+data: {"event":"message","message_id":"5ad4cb98-f0c7-4085-b384-88c403be6290","conversation_id":"45701982-8118-4bc5-8e9b-64562b4555f2","answer":"I","created_at":1679586595}
+
+data: {"event":"message_end","conversation_id":"45701982-8118-4bc5-8e9b-64562b4555f2","metadata":{"usage":{"prompt_tokens":1033,"completion_tokens":135,"total_tokens":1168}}}
+```
+
+#### 错误码
+
+| HTTP 状态码 | 错误码 | 说明 |
+| --- | --- | --- |
+| `400` | `invalid_param` | 传入参数异常。 |
+| `400` | `app_unavailable` | App 配置不可用。 |
+| `400` | `provider_not_initialize` | 无可用模型凭据配置。 |
+| `400` | `provider_quota_exceeded` | 模型调用额度不足。 |
+| `400` | `model_currently_not_support` | 当前模型不可用。 |
+| `400` | `workflow_not_found` | 指定的工作流版本未找到。 |
+| `400` | `draft_workflow_error` | 无法使用草稿工作流版本。 |
+| `400` | `workflow_id_format_error` | 工作流 ID 格式错误，需要 UUID 格式。 |
+| `400` | `completion_request_error` | 文本生成失败。 |
+| `404` | - | 对话不存在。 |
+| `500` | - | 服务内部异常。 |
+
+### 5.2 停止响应
+
+`POST /chat-messages/:task_id/stop`
+
+停止正在进行的流式响应。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `task_id` | `string` | 任务 ID，由发送对话消息接口返回。 |
+
+#### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `user` | `string` | 是 | 终端用户标识，必须与发送消息时的 `user` 一致。 |
+
+#### 请求示例
+
+```bash
+curl -X POST 'http://49.232.138.53/v1/chat-messages/:task_id/stop' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --header 'Content-Type: application/json' \
+  --data-raw '{
+    "user": "abc-123"
+  }'
+```
+
+#### 响应示例
+
+```json
+{
+  "result": "success"
+}
+```
+
+## 6. 文件接口
+
+### 6.1 上传文件
+
+`POST /files/upload`
+
+上传文件并在发送消息时使用，可实现图文多模态理解。上传文件仅供当前终端用户使用。
+
+#### 请求体参数
+
+该接口使用 `multipart/form-data` 请求。
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `file` | `file` | 是 | 要上传的文件。 |
+| `user` | `string` | 是 | 终端用户标识，需和发送消息接口的 `user` 保持一致。 |
+
+#### 请求示例
+
+```bash
+curl -X POST 'http://49.232.138.53/v1/files/upload' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --form 'file=@localfile;type=image/png' \
+  --form 'user=abc-123'
+```
+
+#### 响应字段
+
+| 字段 | 类型 | 说明 |
+| --- | --- | --- |
+| `id` | `string` | 文件 ID。 |
+| `name` | `string` | 文件名。 |
+| `size` | `int` | 文件大小，单位为字节。 |
+| `extension` | `string` | 文件扩展名。 |
+| `mime_type` | `string` | MIME 类型。 |
+| `created_by` | `string` | 上传用户。 |
+| `created_at` | `int` | 创建时间戳。 |
+
+### 6.2 文件预览
+
+`GET /files/:file_id/preview`
+
+预览或下载已上传文件。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `file_id` | `string` | 文件 ID。 |
+
+#### 查询参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `as_attachment` | `bool` | 否 | 是否作为附件下载。传 `true` 时触发下载。 |
+
+#### 请求示例
+
+```bash
+curl -X GET 'http://49.232.138.53/v1/files/72fa9618-8f89-4a37-9b33-7e1178a24a67/preview' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+#### 下载示例
+
+```bash
+curl -X GET 'http://49.232.138.53/v1/files/72fa9618-8f89-4a37-9b33-7e1178a24a67/preview?as_attachment=true' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+## 7. 消息与反馈接口
+
+### 7.1 消息反馈
+
+`POST /messages/:message_id/feedbacks`
+
+提交消息点赞、点踩或文字反馈。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `message_id` | `string` | 消息 ID。 |
+
+#### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `rating` | `string` | 否 | 反馈类型，例如 `like`、`dislike`。传 `null` 可取消反馈。 |
+| `user` | `string` | 是 | 终端用户标识。 |
+| `content` | `string` | 否 | 消息反馈的具体内容。 |
+
+#### 请求示例
+
+```bash
+curl -X POST 'http://49.232.138.53/v1/messages/:message_id/feedbacks' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --header 'Content-Type: application/json' \
+  --data-raw '{
+    "rating": "like",
+    "user": "abc-123",
+    "content": "message feedback information"
+  }'
+```
+
+#### 响应示例
+
+```json
+{
+  "result": "success"
+}
+```
+
+### 7.2 获取 App 的消息点赞和反馈
+
+`GET /app/feedbacks`
+
+获取应用终端用户的反馈和点赞记录。
+
+#### 查询参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `page` | `string` | 否 | 分页页码，默认 `1`。 |
+| `limit` | `string` | 否 | 每页数量，默认 `20`。 |
+
+#### 请求示例
+
+```bash
+curl -X GET 'http://49.232.138.53/v1/app/feedbacks?page=1&limit=20' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+### 7.3 获取下一轮建议问题列表
+
+`GET /messages/{message_id}/suggested`
+
+获取指定消息的下一轮建议问题列表。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `message_id` | `string` | 消息 ID。 |
+
+#### 查询参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `user` | `string` | 是 | 终端用户标识。 |
+
+#### 请求示例
+
+```bash
+curl --location --request GET 'http://49.232.138.53/v1/messages/{message_id}/suggested?user=abc-123' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+### 7.4 获取会话历史消息
+
+`GET /messages`
+
+获取指定会话的历史消息。
+
+#### 查询参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `user` | `string` | 是 | 终端用户标识。 |
+| `conversation_id` | `string` | 是 | 会话 ID。 |
+| `first_id` | `string` | 否 | 当前页第一条聊天记录 ID，用于分页。 |
+| `limit` | `int` | 否 | 一次请求返回多少条记录，默认 `20`。 |
+
+#### 请求示例
+
+```bash
+curl -X GET 'http://49.232.138.53/v1/messages?user=abc-123&conversation_id={conversation_id}' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+## 8. 会话接口
+
+### 8.1 获取会话列表
+
+`GET /conversations`
+
+获取当前用户的会话列表。
+
+#### 查询参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `user` | `string` | 是 | 终端用户标识。 |
+| `last_id` | `string` | 否 | 当前页最后一条记录 ID，用于分页。 |
+| `limit` | `int` | 否 | 一次请求返回多少条记录，默认 `20`。 |
+| `sort_by` | `string` | 否 | 排序字段，例如 `created_at`、`updated_at`。 |
+
+#### 请求示例
+
+```bash
+curl -X GET 'http://49.232.138.53/v1/conversations?user=abc-123&last_id=&limit=20' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+### 8.2 删除会话
+
+`DELETE /conversations/:conversation_id`
+
+删除指定会话。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `conversation_id` | `string` | 会话 ID。 |
+
+#### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `user` | `string` | 是 | 终端用户标识。 |
+
+#### 请求示例
+
+```bash
+curl -X DELETE 'http://49.232.138.53/v1/conversations/{conversation_id}' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --header 'Content-Type: application/json' \
+  --data-raw '{
+    "user": "abc-123"
+  }'
+```
+
+### 8.3 会话重命名
+
+`POST /conversations/:conversation_id/name`
+
+重命名指定会话。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `conversation_id` | `string` | 会话 ID。 |
+
+#### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `name` | `string` | 否 | 新会话名称。 |
+| `auto_generate` | `bool` | 否 | 是否自动生成标题。 |
+| `user` | `string` | 是 | 终端用户标识。 |
+
+#### 请求示例
+
+```bash
+curl -X POST 'http://49.232.138.53/v1/conversations/{conversation_id}/name' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --header 'Content-Type: application/json' \
+  --data-raw '{
+    "name": "新的会话名称",
+    "auto_generate": false,
+    "user": "abc-123"
+  }'
+```
+
+### 8.4 获取对话变量
+
+`GET /conversations/:conversation_id/variables`
+
+获取指定会话中的变量列表。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `conversation_id` | `string` | 会话 ID。 |
+
+#### 查询参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `user` | `string` | 是 | 终端用户标识。 |
+| `last_id` | `string` | 否 | 当前页最后一条记录 ID。 |
+| `limit` | `int` | 否 | 每页数量。 |
+
+#### 请求示例
+
+```bash
+curl -X GET 'http://49.232.138.53/v1/conversations/{conversation_id}/variables?user=abc-123' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+### 8.5 更新对话变量
+
+`PUT /conversations/:conversation_id/variables/:variable_id`
+
+更新指定会话变量。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `conversation_id` | `string` | 会话 ID。 |
+| `variable_id` | `string` | 变量 ID。 |
+
+#### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `value` | `string` | 是 | 变量值。 |
+| `user` | `string` | 是 | 终端用户标识。 |
+
+#### 请求示例
+
+```bash
+curl -X PUT 'http://49.232.138.53/v1/conversations/{conversation_id}/variables/{variable_id}' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --header 'Content-Type: application/json' \
+  --data-raw '{
+    "value": "Updated Value",
+    "user": "abc-123"
+  }'
+```
+
+## 9. 音频接口
+
+### 9.1 语音转文字
+
+`POST /audio-to-text`
+
+将音频文件转写为文本。
+
+#### 请求体参数
+
+该接口使用 `multipart/form-data` 请求。
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `file` | `file` | 是 | 音频文件。 |
+| `user` | `string` | 是 | 终端用户标识。 |
+
+#### 请求示例
+
+```bash
+curl -X POST 'http://49.232.138.53/v1/audio-to-text' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --form 'file=@localfile;type=audio/mpeg' \
+  --form 'user=abc-123'
+```
+
+### 9.2 文字转语音
+
+`POST /text-to-audio`
+
+将文本或消息内容转换为音频。
+
+#### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `message_id` | `string` | 否 | 消息 ID。传入后对指定消息内容进行语音合成。 |
+| `text` | `string` | 否 | 待转换文本。未传 `message_id` 时使用。 |
+| `user` | `string` | 是 | 终端用户标识。 |
+
+#### 请求示例
+
+```bash
+curl -o text-to-audio.mp3 -X POST 'http://49.232.138.53/v1/text-to-audio' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --header 'Content-Type: application/json' \
+  --data-raw '{
+    "text": "hello",
+    "user": "abc-123"
+  }'
+```
+
+## 10. 应用信息接口
+
+### 10.1 获取应用基本信息
+
+`GET /info`
+
+获取应用基本信息。
+
+```bash
+curl -X GET 'http://49.232.138.53/v1/info' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+### 10.2 获取应用参数
+
+`GET /parameters`
+
+获取应用输入参数、用户输入表单、文件上传配置、系统参数等。
+
+```bash
+curl -X GET 'http://49.232.138.53/v1/parameters' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+### 10.3 获取应用 Meta 信息
+
+`GET /meta`
+
+获取应用 Meta 信息，例如工具图标等。
+
+```bash
+curl -X GET 'http://49.232.138.53/v1/meta' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+### 10.4 获取应用 WebApp 设置
+
+`GET /site`
+
+获取应用 WebApp 设置。
+
+```bash
+curl -X GET 'http://49.232.138.53/v1/site' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+## 11. 标注接口
+
+### 11.1 获取标注列表
+
+`GET /apps/annotations`
+
+获取应用标注列表。
+
+#### 查询参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `page` | `string` | 否 | 页码，默认 `1`。 |
+| `limit` | `string` | 否 | 每页数量，默认 `20`。 |
+
+#### 请求示例
+
+```bash
+curl --location --request GET 'http://49.232.138.53/v1/apps/annotations?page=1&limit=20' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+### 11.2 创建标注
+
+`POST /apps/annotations`
+
+创建一条标注问答。
+
+#### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `question` | `string` | 是 | 问题。 |
+| `answer` | `string` | 是 | 答案。 |
+
+#### 请求示例
+
+```bash
+curl --location --request POST 'http://49.232.138.53/v1/apps/annotations' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --header 'Content-Type: application/json' \
+  --data-raw '{
+    "question": "What is Dify?",
+    "answer": "Dify is an LLM application development platform."
+  }'
+```
+
+### 11.3 更新标注
+
+`PUT /apps/annotations/{annotation_id}`
+
+更新指定标注。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `annotation_id` | `string` | 标注 ID。 |
+
+#### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `question` | `string` | 是 | 问题。 |
+| `answer` | `string` | 是 | 答案。 |
+
+#### 请求示例
+
+```bash
+curl --location --request PUT 'http://49.232.138.53/v1/apps/annotations/{annotation_id}' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --header 'Content-Type: application/json' \
+  --data-raw '{
+    "question": "What is Dify?",
+    "answer": "Dify is an LLM application development platform."
+  }'
+```
+
+### 11.4 删除标注
+
+`DELETE /apps/annotations/{annotation_id}`
+
+删除指定标注。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `annotation_id` | `string` | 标注 ID。 |
+
+#### 请求示例
+
+```bash
+curl --location --request DELETE 'http://49.232.138.53/v1/apps/annotations/{annotation_id}' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+### 11.5 标注回复初始设置
+
+`POST /apps/annotation-reply/{action}`
+
+启用或禁用标注回复。该接口异步执行，返回 `job_id` 后可通过任务状态接口查询最终结果。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `action` | `string` | 动作，只能是 `enable` 或 `disable`。 |
+
+#### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+| --- | --- | --- | --- |
+| `score_threshold` | `number` | 是 | 相似度阈值。当相似度大于该阈值时，系统自动回复。 |
+| `embedding_provider_name` | `string` | 是 | 嵌入模型提供商。 |
+| `embedding_model_name` | `string` | 是 | 嵌入模型名称。 |
+
+#### 请求示例
+
+```bash
+curl --location --request POST 'http://49.232.138.53/v1/apps/annotation-reply/{action}' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv' \
+  --header 'Content-Type: application/json' \
+  --data-raw '{
+    "score_threshold": 0.9,
+    "embedding_provider_name": "zhipu",
+    "embedding_model_name": "embedding_3"
+  }'
+```
+
+#### 响应示例
+
+```json
+{
+  "job_id": "b15c8f68-1cf4-4877-bf21-ed7cf2011802",
+  "job_status": "waiting"
+}
+```
+
+### 11.6 查询标注回复初始设置任务状态
+
+`GET /apps/annotation-reply/{action}/status/{job_id}`
+
+查询标注回复启用或禁用任务状态。
+
+#### 路径参数
+
+| 参数 | 类型 | 说明 |
+| --- | --- | --- |
+| `action` | `string` | 动作，只能是 `enable` 或 `disable`，并且必须和标注回复初始设置接口的动作一致。 |
+| `job_id` | `string` | 任务 ID，由标注回复初始设置接口返回。 |
+
+#### 请求示例
+
+```bash
+curl --location --request GET 'http://49.232.138.53/v1/apps/annotation-reply/{action}/status/{job_id}' \
+  --header 'Authorization: Bearer app-MqQOx09gCu9zzlKMpeLqHQHv'
+```
+
+#### 响应示例
+
+```json
+{
+  "job_id": "b15c8f68-1cf4-4877-bf21-ed7cf2011802",
+  "job_status": "waiting",
+  "error_msg": ""
+}
+```
+
+## 12. 通用响应对象
+
+### 12.1 Usage
+
+| 字段 | 类型 | 说明 |
+| --- | --- | --- |
+| `prompt_tokens` | `int` | 提示词 token 数。 |
+| `prompt_unit_price` | `string` | 提示词单价。 |
+| `prompt_price_unit` | `string` | 提示词价格单位。 |
+| `prompt_price` | `string` | 提示词价格。 |
+| `completion_tokens` | `int` | 补全 token 数。 |
+| `completion_unit_price` | `string` | 补全单价。 |
+| `completion_price_unit` | `string` | 补全价格单位。 |
+| `completion_price` | `string` | 补全价格。 |
+| `total_tokens` | `int` | 总 token 数。 |
+| `total_price` | `string` | 总价格。 |
+| `currency` | `string` | 货币。 |
+| `latency` | `number` | 请求耗时。 |
+
+### 12.2 RetrieverResource
+
+| 字段 | 类型 | 说明 |
+| --- | --- | --- |
+| `position` | `int` | 引用位置。 |
+| `dataset_id` | `string` | 数据集 ID。 |
+| `dataset_name` | `string` | 数据集名称。 |
+| `document_id` | `string` | 文档 ID。 |
+| `document_name` | `string` | 文档名称。 |
+| `segment_id` | `string` | 分段 ID。 |
+| `score` | `number` | 相关性分数。 |
+| `content` | `string` | 分段内容。 |
+

docs/superpowers/plans/2026-05-21-mini-program-asr-service.md

@@ -0,0 +1,64 @@
+# Mini Program ASR Service Implementation Plan
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** Deploy a private Chinese ASR service on `101.200.208.45` and wire the mini program voice orb to transcribe speech into the wish input.
+
+**Architecture:** A local FastAPI ASR service listens on `127.0.0.1:19120` and uses FunASR/SenseVoiceSmall when available. The Java backend exposes `/api/asr/transcribe` as the authenticated upload proxy, and the mini program records audio with `uni.getRecorderManager()` then uploads it through the existing request service.
+
+**Tech Stack:** FunASR/SenseVoiceSmall, Python 3.11, FastAPI, Spring Boot multipart upload, uni-app recorder/upload APIs.
+
+---
+
+### Task 1: ASR Service
+
+**Files:**
+- Create: `backend-single/asr-service/app.py`
+- Create: `backend-single/asr-service/requirements.txt`
+- Create: `backend-single/asr-service/emotion-museum-asr.service`
+- Create: `backend-single/asr-service/README.md`
+
+- [x] Add a FastAPI service with `/health` and `/transcribe`.
+- [x] Accept an uploaded audio file, save it under `/tmp/emotion-museum-asr`, run the ASR model, and return JSON with `success`, `text`, `language`, `durationMs`, `engine`, and `errorMessage`.
+- [x] Keep the service bound to `127.0.0.1:19120`.
+
+### Task 2: Java Backend Proxy
+
+**Files:**
+- Create: `backend-single/src/main/java/com/emotion/dto/response/asr/AsrTranscribeResponse.java`
+- Create: `backend-single/src/main/java/com/emotion/service/AsrService.java`
+- Create: `backend-single/src/main/java/com/emotion/service/impl/AsrServiceImpl.java`
+- Create: `backend-single/src/main/java/com/emotion/controller/AsrController.java`
+- Modify: `backend-single/src/main/resources/application.yml`
+- Modify: `backend-single/src/main/resources/application-prod.yml`
+
+- [x] Add `emotion.asr` config for `enabled`, `engine-url`, `max-file-size`, and `allowed-types`.
+- [x] Validate upload presence, size, and suffix.
+- [x] Forward multipart audio to the local ASR service.
+- [x] Return a normal `Result<AsrTranscribeResponse>` to the mini program.
+
+### Task 3: Mini Program Recording
+
+**Files:**
+- Create: `mini-program/src/services/asr.js`
+- Modify: `mini-program/src/pages/main/ScriptView.vue`
+
+- [x] Use `uni.getRecorderManager()` to start recording on press.
+- [x] Stop recording on release/cancel.
+- [x] Upload the recorded temp file to `/asr/transcribe`.
+- [x] Fill `wishText` with recognized text and keep the current visual theme.
+- [x] Track success/failure analytics.
+
+### Task 4: Deploy And Verify
+
+**Commands:**
+- `npm run build:mp-weixin`
+- `mvn -DskipTests package`
+- Deploy backend jar to `101.200.208.45`.
+- Install/start `emotion-museum-asr`.
+- Check `curl http://127.0.0.1:19120/health`.
+
+**Acceptance:**
+- Pressing and releasing the mini program voice orb sends audio to backend ASR.
+- Recognized Chinese text appears in the wish input.
+- Server ASR and TTS services both remain active.

docs/superpowers/plans/2026-05-23-ai-config-test-fix.md

@@ -0,0 +1,226 @@
+# AI 配置管理接口测试修复实施计划
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** 删除废弃的旧 AI 配置页面，在新系统测试对话框中增加非流式测试功能
+
+**Architecture:** 路由已正确指向新系统 `AiRoutingList.vue`，只需删除旧文件残留并增强测试对话框。后端接口 `testAiRuntime` 已存在，只需在 API 层和 UI 层连接。
+
+**Tech Stack:** Vue 3, Element Plus, TypeScript
+
+---
+
+### 前置确认：检查生产数据库配置
+
+- [ ] 在生产数据库上执行以下查询，确认 Dify provider 和 endpoint 状态
+
+```sql
+-- 检查 Dify provider
+SELECT id, provider_code, provider_name, provider_type, base_url, is_enabled 
+FROM t_ai_provider WHERE provider_code = 'dify_default';
+
+-- 检查 Dify endpoints
+SELECT id, endpoint_code, endpoint_name, provider_id, api_path, support_stream, is_enabled 
+FROM t_ai_endpoint_config WHERE endpoint_code LIKE 'dify.%';
+
+-- 检查场景绑定
+SELECT id, scene_code, scene_name, endpoint_id, is_enabled, required_stream 
+FROM t_ai_scene_binding WHERE is_enabled = 1;
+```
+
+- [ ] 如果 Dify provider `is_enabled = 0`，执行：
+```sql
+UPDATE t_ai_provider SET is_enabled = 1 WHERE provider_code = 'dify_default';
+```
+
+- [ ] 如果 Dify endpoints `is_enabled = 0`，执行：
+```sql
+UPDATE t_ai_endpoint_config SET is_enabled = 1 WHERE endpoint_code LIKE 'dify.%';
+```
+
+### Task 1: 删除废弃的旧 AI 配置页面
+
+**Files:**
+- Delete: `web-admin/src/views/aiconfig/AiConfigList.vue`
+
+- [ ] 删除旧页面文件
+
+```bash
+rm web-admin/src/views/aiconfig/AiConfigList.vue
+```
+
+### Task 2: 在 API 层导出非流式测试函数
+
+**Files:**
+- Modify: `web-admin/src/api/aiconfig.ts`
+
+- [ ] 确认 `testAiRuntime` 已存在（已确认在第 263 行）
+
+```typescript
+export function testAiRuntime(data: AiRuntimeRequest) {
+  return request({ url: '/ai/runtime/test', method: 'post', data })
+}
+```
+
+已存在，无需修改。但需要确认 `AiRoutingList.vue` 中是否 import 了这个函数。
+
+检查 `web-admin/src/views/aiconfig/AiRoutingList.vue` 的 import 语句（当前第 269-281 行）：
+- 当前 import 了 `streamAiRuntime`，**没有 import** `testAiRuntime`
+- 需要在 import 列表中添加 `testAiRuntime`
+
+### Task 3: 在测试对话框中增加非流式测试按钮
+
+**Files:**
+- Modify: `web-admin/src/views/aiconfig/AiRoutingList.vue`
+
+- [ ] 在 import 中添加 `testAiRuntime`
+
+修改第 269-281 行的 import 语句：
+
+```typescript
+import {
+  deleteAiEndpoint,
+  deleteAiProvider,
+  deleteAiScene,
+  listAiCallLogs,
+  listAiEndpoints,
+  listAiProviders,
+  listAiScenes,
+  saveAiEndpoint,
+  saveAiProvider,
+  saveAiScene,
+  streamAiRuntime,
+  testAiRuntime          // ← 新增
+} from '@/api/aiconfig'
+```
+
+- [ ] 在测试对话框 footer 中增加「非流式测试」按钮
+
+找到第 257-261 行的 `<template #footer>`，修改为：
+
+```vue
+<template #footer>
+  <el-button @click="testDialog = false">关闭</el-button>
+  <el-button :loading="testing" @click="submitNonStreamTest">非流式测试</el-button>
+  <el-button type="primary" :loading="testing" @click="submitRuntimeTest">流式测试</el-button>
+</template>
+```
+
+- [ ] 添加 `nonStreamResult` 响应式变量
+
+在 `testResult` 声明后面（第 296 行）添加：
+
+```typescript
+const nonStreamResult = ref<AiRuntimeTestResponse | null>(null)
+```
+
+- [ ] 实现 `submitNonStreamTest` 函数
+
+在 `submitRuntimeTest` 函数（第 451 行）之前添加：
+
+```typescript
+async function submitNonStreamTest() {
+  let inputs: Record<string, any>
+  try {
+    inputs = JSON.parse(testInputsJson.value || '{}')
+  } catch (error) {
+    ElMessage.error('入参 JSON 格式不正确')
+    return
+  }
+  testing.value = true
+  try {
+    const res = await testAiRuntime({ sceneCode: testForm.sceneCode, inputs })
+    nonStreamResult.value = res.data as AiRuntimeTestResponse
+    if (nonStreamResult.value.status === 'success') {
+      ElMessage.success('非流式测试成功')
+    } else {
+      ElMessage.error(`测试失败: ${nonStreamResult.value.errorMessage || nonStreamResult.value.errorCode}`)
+    }
+    await loadAll()
+  } catch (error: any) {
+    nonStreamResult.value = {
+      sceneCode: testForm.sceneCode,
+      status: 'failed',
+      errorMessage: error?.message || '非流式测试失败'
+    } as AiRuntimeTestResponse
+    ElMessage.error(error?.message || '非流式测试失败')
+  } finally {
+    testing.value = false
+  }
+}
+```
+
+- [ ] 在测试对话框中展示非流式测试结果
+
+在 `submitRuntimeTest` 相关的 `<el-alert>` 和 `<pre>` 展示块（第 250-256 行）之前，添加非流式测试结果的展示：
+
+```vue
+<el-alert
+  v-if="nonStreamResult"
+  :type="nonStreamResult.status === 'success' ? 'success' : 'error'"
+  :title="nonStreamResult.status === 'success' ? '非流式测试成功' : '非流式测试失败'"
+  show-icon
+  :closable="false"
+  style="margin-bottom: 12px;"
+/>
+<pre v-if="nonStreamResult" class="test-output">{{ nonStreamResult.output || nonStreamResult.errorMessage || '暂无输出' }}</pre>
+
+<el-alert
+  v-if="testResult"
+  :type="testResult.status === 'success' ? 'success' : 'error'"
+  :title="testResult.status === 'success' ? '流式测试成功' : '流式测试失败'"
+  show-icon
+/>
+<pre v-if="testResult" class="test-output">{{ testResult.output || testResult.errorMessage || '暂无输出' }}</pre>
+```
+
+- [ ] 在打开测试对话框时清空非流式结果
+
+在 `openRuntimeTest` 函数（第 400-404 行）中添加：
+
+```typescript
+function openRuntimeTest() {
+  testForm.sceneCode = scenes.value.find(item => item.isEnabled === 1 && item.endpointId)?.sceneCode || scenes.value[0]?.sceneCode || ''
+  testResult.value = null
+  nonStreamResult.value = null    // ← 新增
+  testDialog.value = true
+}
+```
+
+- [ ] 在 TypeScript 类型定义中确保 `AiRuntimeTestResponse` 包含所有必要字段
+
+检查 `web-admin/src/types/aiconfig.ts` 中的 `AiRuntimeTestResponse` 定义，确保包含：
+
+```typescript
+export interface AiRuntimeTestResponse {
+  sceneCode: string
+  status: 'success' | 'failed'
+  output?: string
+  streamChunks?: number
+  durationMs?: number
+  errorCode?: string
+  errorMessage?: string
+}
+```
+
+### Task 4: 浏览器验证
+
+- [ ] 启动 web-admin 开发服务器
+
+```bash
+cd web-admin && npm run dev
+```
+
+- [ ] 在浏览器中访问管理后台 `http://localhost:5174/emotion-museum-admin/`
+
+- [ ] 导航到「AI 配置管理」页面，确认旧页面已删除、新页面正常显示
+
+- [ ] 在「场景绑定」Tab 中点击「流式测试」按钮，确认测试对话框正常打开
+
+- [ ] 确认测试对话框中有两个按钮：「非流式测试」和「流式测试」
+
+- [ ] 选择一个场景（如 `script_generate`），输入入参 `{ "prompt": "请用一句中文回复测试成功。" }`，点击「非流式测试」，确认返回成功结果
+
+- [ ] 点击「流式测试」，确认流式输出正常
+
+- [ ] 确认浏览器 Console 中没有任何错误

docs/superpowers/plans/2026-05-23-ai-routing-admin-runtime-fix.md

@@ -0,0 +1,58 @@
+# AI Routing Admin Runtime Fix Implementation Plan
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** Make the AI configuration center match the existing admin theme, use Chinese copy everywhere, show existing provider/workflow bindings from the database, and expose a single user-facing streaming runtime entry point driven by scene code plus JSON inputs.
+
+**Architecture:** Keep the existing provider/endpoint/scene/log model. The admin page uses the current Element Plus dark glass theme and existing list-page conventions. Runtime calls accept `sceneCode` and `inputs` JSON, enrich inputs with the logged-in user context on the backend, resolve the scene binding from the database, then stream provider output back to the user.
+
+**Tech Stack:** Spring Boot, MyBatis-Plus, FastJSON, Vue 3, Element Plus, uni-app chunked streaming.
+
+---
+
+### Task 1: Admin Page Theme And Chinese Copy
+
+**Files:**
+- Modify: `web-admin/src/views/aiconfig/AiRoutingList.vue`
+
+- [x] Replace English page title, tabs, table columns, dialogs, buttons, alerts, empty states, and confirm text with Chinese.
+- [x] Replace the standalone white panel styles with the project page-header, glass card, table card, and dark Element Plus table styles.
+- [x] Add summary cards for providers, endpoints, scenes, and logs so the page matches existing management pages.
+
+### Task 2: User Runtime Request Shape
+
+**Files:**
+- Modify: `backend-single/src/main/java/com/emotion/dto/request/ai/AiRuntimeRequest.java`
+- Modify: `backend-single/src/main/java/com/emotion/controller/AiRoutingController.java`
+- Modify: `backend-single/src/main/java/com/emotion/service/impl/AiRuntimeServiceImpl.java`
+
+- [x] Accept user calls as `sceneCode` plus `inputs` JSON.
+- [x] Keep user identity server-side by reading `UserContextHolder`.
+- [x] Enrich runtime inputs with safe user context keys before provider invocation.
+- [x] Keep SSE stream events as the only formal output path for user-facing AI calls.
+
+### Task 3: Seed Existing Configurations Into Routing Tables
+
+**Files:**
+- Modify: `sql/2026-05-22-ai-scene-routing.sql`
+
+- [x] Insert a Coze provider from existing `t_ai_config` rows when missing.
+- [x] Insert endpoint rows from current enabled Coze workflow configurations.
+- [x] Bind existing scenes to known workflow configs where a safe mapping exists.
+- [x] Keep unknown scenes visible but disabled until explicitly bound in the admin page.
+
+### Task 4: Verify End To End
+
+**Commands:**
+- `mvn test`
+- `mvn -DskipTests clean package`
+- `npm run build`
+- `npm run build:mp-weixin`
+- Remote SQL migration execution.
+- Remote health checks for backend and ASR.
+
+- [x] Backend tests pass.
+- [x] Backend package succeeds.
+- [x] Admin build succeeds.
+- [x] Mini program build succeeds.
+- [x] Remote routing tables contain provider, endpoints, and scene bindings.

docs/superpowers/plans/2026-05-23-ai-runtime-client-sync.md

@@ -0,0 +1,66 @@
+# AI Runtime Client Sync Implementation Plan
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** Synchronize AI calls in web, web-admin, life-script, and mini-program so user-facing AI output uses the backend scene routing runtime and streams text progressively.
+
+**Architecture:** The backend remains the single trust boundary for provider credentials, scene bindings, user context enrichment, and workflow selection. Browser and mini-program clients call `/ai/runtime/stream` with `sceneCode` and `inputs`, while existing WebSocket chat is bridged through `AiRuntimeService` so chat also follows the configured `chat` scene. Existing business save APIs remain responsible for persistence after a stream completes.
+
+**Tech Stack:** Spring Boot, STOMP WebSocket, FastJSON, Vue 3, React/Vite, uni-app chunked request, Element Plus.
+
+---
+
+### Task 1: Backend Chat Bridge To Runtime
+
+**Files:**
+- Modify: `backend-single/src/main/java/com/emotion/service/impl/WebSocketServiceImpl.java`
+- Modify: `backend-single/src/main/java/com/emotion/dto/websocket/WebSocketMessage.java`
+
+- [x] Route chat generation through `AiRuntimeService` with `sceneCode=chat`.
+- [x] Push `start`, `delta`, `done`, and `error` events over the existing user WebSocket topic.
+- [x] Save the final assistant message after `done` using the accumulated stream output.
+- [x] Preserve the existing user-message persistence and conversation ID behavior.
+
+### Task 2: Shared Runtime Clients
+
+**Files:**
+- Create: `web/src/services/aiRuntime.ts`
+- Create: `life-script/src/services/aiRuntime.js`
+- Modify: `mini-program/src/services/aiRuntime.js`
+- Modify: `web-admin/src/api/aiconfig.ts`
+- Modify: `web-admin/src/views/aiconfig/AiRoutingList.vue`
+
+- [x] Add browser SSE client helpers that parse unified AI stream events.
+- [x] Keep mini-program chunk parsing but localize error messages and flush trailing frames.
+- [x] Add a web-admin stream test helper and make the test dialog render output progressively.
+
+### Task 3: Client Scene Migration
+
+**Files:**
+- Modify: `life-script/src/services/ai.js`
+- Modify: `life-script/src/views/ScriptView.jsx`
+- Modify: `life-script/src/views/TimelineView.jsx`
+- Modify: `life-script/src/views/PathView.jsx`
+- Modify: `mini-program/src/pages/main/ScriptView.vue`
+- Inspect: `web/src/stores/chat.ts`
+
+- [x] Remove direct OpenRouter calls and hard-coded client API keys.
+- [x] Route `script_generate`, `life_healing`, and path generation through `streamAiScene`.
+- [x] Ensure pages append `delta` content instead of waiting for complete text.
+- [x] Keep final persistence through existing business save APIs after stream completion.
+
+### Task 4: Verification
+
+**Commands:**
+- `mvn test`
+- `mvn -DskipTests clean package`
+- `npm run build` in `web`
+- `npm run build` in `web-admin`
+- `npm run build` in `life-script`
+- `npm run build:mp-weixin` in `mini-program`
+
+- [x] Backend tests pass.
+- [x] Backend package succeeds.
+- [x] All four frontend builds succeed.
+- [x] Source scan shows no client-side external AI provider key or direct Dify/Coze/OpenRouter call.
+- [x] Database scene bindings are enabled with streaming endpoints for `chat`, `script_generate`, `short_story_generate`, `diary_summary`, `emotion_summary`, `emotion_analysis`, and `life_healing`.

docs/superpowers/specs/2026-05-23-ai-config-test-fix-design.md

@@ -0,0 +1,80 @@
+---
+author: 华钟民
+created_at: 2026-05-23
+purpose: 修复 AI 配置管理接口测试功能，确保 Dify/Coze 等多提供商在 web-admin 后台能正常测试，全局确认前后端调用链路一致
+---
+
+# AI 配置管理接口测试修复设计
+
+## 1. 问题背景
+
+在 web-admin 后台的"AI 配置管理"页面，流式测试 Dify 接口时报错：
+`"message":"user_id is required in input form"`。
+
+根因是存在两套 AI 配置系统：
+- **旧系统**：`t_ai_config` 表 + `AiConfigList.vue`（已被路由废弃但文件残留）
+- **新系统**：`t_ai_provider` / `t_ai_endpoint_config` / `t_ai_scene_binding` 三表 + `AiRoutingList.vue`（路由当前指向的页面）
+
+## 2. 当前状态确认
+
+### 前端调用链路（全部走新系统）
+
+| 项目 | 调用方式 | 目标接口 | 状态 |
+|------|---------|---------|------|
+| web | `streamAiScene()` → `fetch('/ai/runtime/stream')` | AiRuntimeService.invokeStream() | ✅ |
+| web-admin | `streamAiRuntime()` → `fetch('/ai/runtime/stream')` | AiRoutingController.runtimeStream() | ✅ |
+| life-script | `streamAiScene()` → `fetch('/ai/runtime/stream')` | AiRuntimeService.invokeStream() | ✅ |
+| mini-program | `streamAiScene()` → `uni.request('/ai/runtime/stream')` | AiRuntimeService.invokeStream() | ✅ |
+
+### 后端服务调用链路（全部走新系统）
+
+| 服务 | 调用方式 | 目标方法 | 状态 |
+|------|---------|---------|------|
+| AiChatServiceImpl | `aiRuntimeService.test()` | AiRuntimeServiceImpl.test() | ✅ |
+| WebSocketServiceImpl | `aiRuntimeService.invokeStream()` | AiRuntimeServiceImpl.invokeStream() | ✅ |
+| EpicScriptServiceImpl | `aiRuntimeService.test()` | AiRuntimeServiceImpl.test() | ✅ |
+| LifeEventServiceImpl | `aiRuntimeService.test()` | AiRuntimeServiceImpl.test() | ✅ |
+
+### 数据库配置现状
+
+`t_ai_provider` 已有 `dify_default`（`http://49.232.138.53/v1`，api_key=`app-MqQOx09gCu9zzlKMpeLqHQHv`），`t_ai_endpoint_config` 已迁移 Dify 对话接口。但场景绑定需注意：
+
+- `chat` → Coze endpoint（旧系统遗留绑定）
+- `script_generate` → **Dify endpoint** ✅
+- `short_story_generate` → **Dify endpoint** ✅
+- `diary_summary` → Coze endpoint
+- `emotion_summary` → Coze endpoint
+- `emotion_analysis` → Coze endpoint
+- `life_healing` → Coze endpoint
+
+**结论**：在 web-admin 测试 `script_generate` 和 `short_story_generate` 场景时，会走 Dify；其他场景走 Coze。这是预期行为。
+
+## 3. 设计方案
+
+### 3.1 删除旧系统残留
+
+删除 `web-admin/src/views/aiconfig/AiConfigList.vue`。该文件路由已不再指向它，保留只会引起混淆。对应的后端 `/aiConfig/*` 接口保持不变（以防有遗留数据查询需求）。
+
+### 3.2 新系统测试对话框增强
+
+在 `AiRoutingList.vue` 的流式测试对话框（当前标题"流式调用测试"）中增加「非流式测试」按钮，并将对话框标题改为「接口测试」：
+
+- 流式测试走 `/ai/runtime/stream` → `streamAiRuntime()`（已有）
+- 非流式测试走 `/ai/runtime/test` → `testAiRuntime()`（已有接口，但当前未 import）
+- 两个按钮共享 `testing` 加载状态，避免并发冲突
+- 非流式和流式测试结果各自独立展示，互不干扰
+- 打开对话框时同时清空两个结果
+
+### 3.3 路由清理
+
+路由配置 `/aiconfig/list` 已正确指向 `AiRoutingList.vue`，无需改动。
+
+### 3.4 数据库配置检查
+
+实施前需确认生产数据库中 Dify provider 和 Dify endpoints 处于 `is_enabled = 1` 状态。SQL 迁移脚本 `2026-05-22-ai-scene-routing.sql` 中已设置了 `is_enabled = 1`，但可能在实际部署时未执行。
+
+## 4. 风险
+
+- 删除 `AiConfigList.vue` 后如果用户需要查询旧 `t_ai_config` 数据，仍有后端 `/aiConfig/*` 接口可用
+- 非流式测试新增不影响已有功能
+- Dify provider 和 endpoint 需确保 `is_enabled = 1`，否则测试会返回 `AI_ENDPOINT_DISABLED` 或 `AI_PROVIDER_DISABLED`

life-script/deploy.py

@@ -1,239 +1,320 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 """
-life-script 部署脚本
+Life-Script deployment script.
-功能：项目构建、文件传输、原子切换、历史版本管理、回滚支持
+
-使用系统自带的ssh/scp命令，无需额外依赖
+Builds the local project, uploads dist files to the server, switches the live
+symlink atomically, keeps recent releases, and supports rollback.
 """
 
+import io
 import os
-import sys
+import shlex
-import subprocess
 import shutil
+import subprocess
+import sys
+import threading
 from datetime import datetime
 from pathlib import Path
 
-# 服务器配置
+if hasattr(sys.stdout, "buffer"):
+    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8", errors="replace", line_buffering=True)
+    sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding="utf-8", errors="replace", line_buffering=True)
+
 SERVER_IP = "101.200.208.45"
 USERNAME = "root"
 
-# 部署配置
 APP_NAME = "life-script"
 DEPLOY_BASE = "/data/www/course-web-deploy"
 RELEASES_DIR = f"{DEPLOY_BASE}/releases"
 LINK_PATH = "/data/www/course-of-life"
 MAX_RELEASES = 5
 
-# 本地路径
 SCRIPT_DIR = Path(__file__).parent.absolute()
 DIST_DIR = SCRIPT_DIR / "dist"
 
+SSH_BASE = [
+    "ssh",
+    "-T",
+    "-o",
+    "BatchMode=yes",
+    "-o",
+    "ConnectTimeout=10",
+    "-o",
+    "StrictHostKeyChecking=no",
+    f"{USERNAME}@{SERVER_IP}",
+]
+
+SCP_BASE = [
+    "scp",
+    "-o",
+    "BatchMode=yes",
+    "-o",
+    "ConnectTimeout=10",
+    "-o",
+    "StrictHostKeyChecking=no",
+]
+
 
 class Colors:
-    """终端颜色"""
+    GREEN = "\033[32m"
-    GREEN = '\033[32m'
+    RED = "\033[31m"
-    RED = '\033[31m'
+    YELLOW = "\033[33m"
-    YELLOW = '\033[33m'
+    RESET = "\033[0m"
-    RESET = '\033[0m'
 
 
 def log_info(msg):
-    """打印信息日志"""
+    print(f"{Colors.GREEN}[INFO]{Colors.RESET} {msg}", flush=True)
-    print(f"{Colors.GREEN}[INFO]{Colors.RESET} {msg}")
 
 
 def log_error(msg):
-    """打印错误日志"""
+    print(f"{Colors.RED}[ERROR]{Colors.RESET} {msg}", flush=True)
-    print(f"{Colors.RED}[ERROR]{Colors.RESET} {msg}")
 
 
 def log_warn(msg):
-    """打印警告日志"""
+    print(f"{Colors.YELLOW}[WARN]{Colors.RESET} {msg}", flush=True)
-    print(f"{Colors.YELLOW}[WARN]{Colors.RESET} {msg}")
 
 
-def run_command(cmd, cwd=None, shell=True, capture=True):
+def _reader_thread(stream, sink, prefix=""):
-    """执行本地命令"""
+    for line in iter(stream.readline, ""):
+        sink.append(line)
+        print(f"{prefix}{line}", end="", flush=True)
+    stream.close()
+
+
+def run_stream(args, cwd=None, timeout=None):
+    """Run a command and stream stdout/stderr in real time."""
+    stdout_lines = []
+    stderr_lines = []
     try:
-        if capture:
+        process = subprocess.Popen(
-            result = subprocess.run(
+            args,
-                cmd,
+            cwd=cwd,
-                cwd=cwd,
+            shell=False,
-                shell=shell,
+            stdout=subprocess.PIPE,
-                capture_output=True,
+            stderr=subprocess.PIPE,
-                text=True
+            text=True,
-            )
+            encoding="utf-8",
-            return result.returncode == 0, result.stdout, result.stderr
+            errors="replace",
-        else:
+        )
-            result = subprocess.run(cmd, cwd=cwd, shell=shell)
+        stdout_thread = threading.Thread(target=_reader_thread, args=(process.stdout, stdout_lines))
-            return result.returncode == 0, "", ""
+        stderr_thread = threading.Thread(target=_reader_thread, args=(process.stderr, stderr_lines))
-    except Exception as e:
+        stdout_thread.start()
-        return False, "", str(e)
+        stderr_thread.start()
+        try:
+            returncode = process.wait(timeout=timeout)
+        except subprocess.TimeoutExpired:
+            process.kill()
+            returncode = process.wait()
+            log_error(f"命令执行超时 ({timeout}s): {' '.join(map(str, args))}")
+            return False, "".join(stdout_lines), "".join(stderr_lines) or "命令执行超时"
+        finally:
+            stdout_thread.join(timeout=2)
+            stderr_thread.join(timeout=2)
+        return returncode == 0, "".join(stdout_lines), "".join(stderr_lines)
+    except Exception as exc:
+        return False, "".join(stdout_lines), str(exc)
 
 
-def exec_ssh_cmd(cmd, timeout=30):
+def run_capture(args, cwd=None, timeout=None):
-    """通过SSH执行远程命令"""
+    """Run a command and capture output for decision making."""
-    ssh_cmd = f'ssh -o ConnectTimeout=10 -o BatchMode=yes {USERNAME}@{SERVER_IP} "{cmd}"'
     try:
         result = subprocess.run(
-            ssh_cmd,
+            args,
-            shell=True,
+            cwd=cwd,
+            shell=False,
             capture_output=True,
             text=True,
-            timeout=timeout
+            encoding="utf-8",
+            errors="replace",
+            timeout=timeout,
         )
         return result.returncode == 0, result.stdout.strip(), result.stderr.strip()
     except subprocess.TimeoutExpired:
-        log_error(f"SSH命令超时: {cmd}")
+        return False, "", f"命令执行超时 ({timeout}s): {' '.join(map(str, args))}"
-        return False, "", "命令执行超时"
+    except Exception as exc:
-    except Exception as e:
+        return False, "", str(exc)
-        return False, "", str(e)
+
+
+def run_command(cmd, cwd=None, capture=True, timeout=None):
+    """Run a local shell command."""
+    args = cmd if isinstance(cmd, list) else ["cmd", "/c", cmd] if os.name == "nt" else ["bash", "-lc", cmd]
+    if capture:
+        return run_capture(args, cwd=cwd, timeout=timeout)
+    return run_stream(args, cwd=cwd, timeout=timeout)
+
+
+def ssh_args(cmd):
+    return SSH_BASE + ["bash", "-lc", shlex.quote(cmd)]
+
+
+def exec_ssh_cmd(cmd, timeout=120, capture=False):
+    """Run a remote command through SSH. Streams output by default."""
+    args = ssh_args(cmd)
+    if capture:
+        ok, stdout, stderr = run_capture(args, cwd=SCRIPT_DIR, timeout=timeout)
+    else:
+        ok, stdout, stderr = run_stream(args, cwd=SCRIPT_DIR, timeout=timeout)
+    if not ok:
+        log_error(f"SSH命令失败: {cmd}")
+        if stderr:
+            log_error(stderr.strip())
+    return ok, stdout.strip(), stderr.strip()
 
 
 def scp_upload(local_path, remote_path, recursive=False):
-    """通过SCP上传文件或目录"""
+    """Upload a file or directory through SCP with streamed logs."""
-    r_flag = "-r" if recursive else ""
+    args = SCP_BASE.copy()
-    scp_cmd = f'scp -o ConnectTimeout=10 -o BatchMode=yes {r_flag} "{local_path}" {USERNAME}@{SERVER_IP}:{remote_path}'
+    if recursive:
-    try:
+        args.append("-r")
-        result = subprocess.run(
+    args.extend([str(local_path), f"{USERNAME}@{SERVER_IP}:{remote_path}"])
-            scp_cmd,
+    ok, _, stderr = run_stream(args, cwd=SCRIPT_DIR, timeout=300)
-            shell=True,
+    if not ok:
-            capture_output=True,
+        log_error(f"SCP上传失败: {stderr.strip()}")
-            text=True,
+    return ok
-            timeout=120  # 上传文件给更长时间
-        )
-        if result.returncode != 0:
-            log_error(f"SCP上传失败: {result.stderr}")
-            return False
-        return True
-    except subprocess.TimeoutExpired:
-        log_error("SCP上传超时")
-        return False
-    except Exception as e:
-        log_error(f"SCP上传异常: {e}")
-        return False
 
 
 def check_env():
-    """检查本地环境"""
     log_info("检查本地环境...")
-    
+    success, _, err = run_command("npm --version", timeout=30)
-    # 检查npm
-    success, _, _ = run_command("npm --version")
     if not success:
-        log_error("未找到npm命令，请先安装Node.js")
+        log_error("未找到 npm 命令，请先安装 Node.js")
+        if err:
+            log_error(err)
         sys.exit(1)
-    
     log_info("环境检查通过")
 
 
 def build_project():
-    """构建项目"""
     log_info("开始构建项目...")
-    
-    # 切换到项目目录
     os.chdir(SCRIPT_DIR)
 
-    # 清理旧构建
     if DIST_DIR.exists():
         shutil.rmtree(DIST_DIR)
-        log_info("已清理旧的dist目录")
+        log_info("已清理旧的 dist 目录")
 
-    # 执行构建（不捕获输出，直接显示）
     log_info("执行: npm run build")
-    success, _, _ = run_command("npm run build", capture=False)
+    success, _, err = run_command("npm run build", cwd=SCRIPT_DIR, capture=False, timeout=600)
     if not success:
         log_error("项目构建失败")
+        if err:
+            log_error(err)
+        sys.exit(1)
+
+    if not DIST_DIR.exists():
+        log_error("dist 目录不存在")
         sys.exit(1)
 
     log_info("项目构建成功")
 
-    # 检查dist目录
-    if not DIST_DIR.exists():
-        log_error("dist目录不存在")
-        sys.exit(1)
-
 
 def deploy():
-    """部署到服务器"""
     timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
     release_path = f"{RELEASES_DIR}/{timestamp}"
 
     log_info(f"准备部署版本: {timestamp}")
 
-    # 1. 创建远程目录
     log_info("创建远程目录...")
-    success, _, err = exec_ssh_cmd(f"mkdir -p {release_path}")
+    success, _, err = exec_ssh_cmd(f"mkdir -p {shlex.quote(release_path)}", timeout=60)
     if not success:
         log_error(f"创建远程目录失败: {err}")
         sys.exit(1)
 
-    # 2. 上传文件
     log_info("上传文件到服务器...")
     for item in DIST_DIR.iterdir():
         log_info(f"  上传: {item.name}")
         if item.is_file():
-            if not scp_upload(item, f"{release_path}/"):
+            ok = scp_upload(item, f"{release_path}/")
-                log_error("文件上传失败")
-                sys.exit(1)
         else:
-            if not scp_upload(item, f"{release_path}/", recursive=True):
+            ok = scp_upload(item, f"{release_path}/", recursive=True)
-                log_error("目录上传失败")
+        if not ok:
-                sys.exit(1)
+            log_error("文件上传失败")
+            sys.exit(1)
     log_info("文件上传成功")
 
-    # 3. 设置权限
     log_info("设置文件权限...")
-    exec_ssh_cmd(f"chmod -R 755 {release_path}")
+    success, _, err = exec_ssh_cmd(f"chmod -R 755 {shlex.quote(release_path)}", timeout=120)
+    if not success:
+        log_error(f"设置文件权限失败: {err}")
+        sys.exit(1)
 
-    # 4. 原子切换软链接
     log_info("切换服务版本...")
-    # 检查目标路径是否为普通目录
+    switch_script = f"""
-    exec_ssh_cmd(f"if [ -d '{LINK_PATH}' ] && [ ! -L '{LINK_PATH}' ]; then mv '{LINK_PATH}' '{LINK_PATH}_backup_$(date +%s)'; fi")
+set -e
-    # 创建软链接
+release_path={shlex.quote(release_path)}
-    success, _, err = exec_ssh_cmd(f"ln -snf '{release_path}' '{LINK_PATH}'")
+link_path={shlex.quote(LINK_PATH)}
+
+if [ -d "$link_path" ] && [ ! -L "$link_path" ]; then
+  backup_path="${{link_path}}_backup_$(date +%s)"
+  echo "当前路径是普通目录，备份到: $backup_path"
+  mv "$link_path" "$backup_path"
+fi
+
+ln -sfn "$release_path" "$link_path"
+echo "当前版本指向: $(readlink "$link_path")"
+"""
+    success, _, err = exec_ssh_cmd(switch_script, timeout=120)
     if not success:
         log_error(f"切换版本失败: {err}")
         sys.exit(1)
 
-    log_info(f"部署完成！当前版本指向: {release_path}")
+    log_info(f"部署完成，当前版本指向: {release_path}")
-    
-    # 5. 清理旧版本
     clean_old_releases()
 
 
 def clean_old_releases():
-    """清理旧版本，只保留最近的N个"""
+    log_info(f"清理旧版本（保留最近 {MAX_RELEASES} 个）...")
-    log_info(f"清理旧版本（保留最近{MAX_RELEASES}个）...")
+    clean_script = f"""
-    clean_cmd = f"cd {RELEASES_DIR} && ls -t | tail -n +{MAX_RELEASES + 1} | xargs -I {{}} rm -rf {{}}"
+set -e
-    exec_ssh_cmd(clean_cmd)
+mkdir -p {shlex.quote(RELEASES_DIR)}
+cd {shlex.quote(RELEASES_DIR)}
+old_releases=$(ls -1dt */ 2>/dev/null | tail -n +{MAX_RELEASES + 1} || true)
+if [ -n "$old_releases" ]; then
+  echo "$old_releases" | xargs -r rm -rf
+  echo "$old_releases" | sed 's/^/已删除旧版本: /'
+else
+  echo "没有需要清理的旧版本"
+fi
+"""
+    success, _, err = exec_ssh_cmd(clean_script, timeout=120)
+    if not success:
+        log_warn(f"清理旧版本失败: {err}")
 
 
 def rollback():
-    """回滚到上一个版本"""
     log_info("开始回滚操作...")
-    
+    success, current_link, err = exec_ssh_cmd(f"readlink {shlex.quote(LINK_PATH)}", timeout=60, capture=True)
-    # 获取当前指向的版本
+    if not success:
-    success, current_link, _ = exec_ssh_cmd(f"readlink {LINK_PATH}")
+        log_error(f"读取当前版本失败: {err}")
+        sys.exit(1)
     log_info(f"当前版本: {current_link}")
 
-    # 获取上一个版本目录
+    find_prev_script = f"""
-    success, prev_version, _ = exec_ssh_cmd(
+set -e
-        f"ls -dt {RELEASES_DIR}/* | grep -v '{current_link}' | head -n 1"
+current_link={shlex.quote(current_link)}
-    )
+ls -dt {shlex.quote(RELEASES_DIR)}/* 2>/dev/null | grep -v "$current_link" | head -n 1
-    
+"""
-    if not prev_version:
+    success, prev_version, err = exec_ssh_cmd(find_prev_script, timeout=60, capture=True)
+    if not success or not prev_version:
         log_error("没有找到可回滚的历史版本")
+        if err:
+            log_error(err)
         sys.exit(1)
 
     log_info(f"回滚目标版本: {prev_version}")
-    exec_ssh_cmd(f"ln -snf {prev_version} {LINK_PATH}")
+    success, _, err = exec_ssh_cmd(
-    log_info("回滚成功！")
+        f"ln -sfn {shlex.quote(prev_version)} {shlex.quote(LINK_PATH)} && readlink {shlex.quote(LINK_PATH)}",
+        timeout=60,
+    )
+    if not success:
+        log_error(f"回滚失败: {err}")
+        sys.exit(1)
+    log_info("回滚成功")
 
 
 def print_usage():
-    """打印使用说明"""
+    print(
-    print("""
+        """
 用法: python deploy.py [命令]
 
 命令:
@@ -243,11 +324,11 @@ def print_usage():
 示例:
   python deploy.py          # 部署
   python deploy.py rollback # 回滚
-""")
+"""
+    )
 
 
 def main():
-    """主函数"""
     command = sys.argv[1] if len(sys.argv) > 1 else "deploy"
 
     if command == "rollback":

life-script/src/services/ai.js

@@ -1,78 +1,45 @@
-/**
+import { streamAiScene } from './aiRuntime';
- * AI 服务模块
- * 封装 OpenRouter API 调用
- */
 
-const API_KEY = "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";
+const runScene = async (sceneCode, inputs, callbacks = {}) => {
-const BASE_URL = "https://openrouter.ai/api/v1/chat/completions";
+  const result = await streamAiScene({
-
+    sceneCode,
-/**
+    inputs,
- * 调用 AI API
+    onStart: callbacks.onStart,
- * @param {string} prompt - 用户提示
+    onDelta: callbacks.onDelta,
- * @param {string} systemMsg - 系统消息
+    onDone: callbacks.onDone,
- * @returns {Promise<string>} AI 响应内容
+    onError: callbacks.onError
- */
+  });
-const fetchAI = async (prompt, systemMsg) => {
+  return result.output;
-  try {
-    const response = await fetch(BASE_URL, {
-      method: 'POST',
-      headers: {
-        'Authorization': `Bearer ${API_KEY}`,
-        'Content-Type': 'application/json'
-      },
-      body: JSON.stringify({
-        model: "deepseek/deepseek-chat-v3-0324:free",
-        messages: [
-          { role: "system", content: systemMsg },
-          { role: "user", content: prompt }
-        ]
-      })
-    });
-    
-    const data = await response.json();
-    return data.choices[0].message.content;
-  } catch (error) {
-    console.error('AI API Error:', error);
-    return "（AI 暂时陷入了沉思，请稍后再试）";
-  }
 };
 
-/**
+export const analyzeLifeEvent = async (event, callbacks = {}) => {
- * 分析生命事件
+  return runScene('life_healing', {
- * @param {Object} event - 事件对象 { title, time, content }
+    mode: 'life_event_analysis',
- * @returns {Promise<string>} AI 分析反馈
+    prompt: `请分析这段人生事件，并给出温和、具体、可执行的反馈。\n标题：${event.title || ''}\n时间：${event.time || ''}\n内容：${event.content || ''}`,
- */
+    title: event.title,
-export const analyzeLifeEvent = async (event) => {
+    time: event.time,
-  const system = "你是一位温柔的生命引路人，擅长从平凡事件中发掘成长的力量。请分析用户记录的事件，提供情感价值、成长总结和疗愈鼓励。保持字数在150字左右。";
+    content: event.content
-  const prompt = `事件标题：${event.title}\n时间：${event.time}\n内容：${event.content}`;
+  }, callbacks);
-  return fetchAI(prompt, system);
 };
 
-/**
+export const generateEpicScript = async (params, events = [], callbacks = {}) => {
- * 生成爽文剧本
+  return runScene('script_generate', {
- * @param {Object} params - 参数对象 { theme, style, length, character }
+    prompt: params.theme,
- * @param {Array} events - 生命事件数组
+    theme: params.theme,
- * @returns {Promise<string>} 生成的剧本内容
+    style: params.style,
- */
+    length: params.length,
-export const generateEpicScript = async (params, events = []) => {
+    events,
-  const system = `你是一位金牌爽文编剧。根据用户的角色设定和过往经历，生成一段符合用户设定、充满爽感的未来人生剧本。剧本必须包含起承转合，使用【标题】标记段落。`;
+    character: params.character,
-  
+    useSocialInsights: params.useSocialInsights
-  const charInfo = `姓名：${params.character.nickname}, 性格：${params.character.mbti}, 兴趣：${params.character.hobbies?.join(',') || ''}, 星座：${params.character.zodiac}`;
+  }, callbacks);
-  const eventSummary = events.map(e => e.title).join(', ');
-  
-  const prompt = `角色信息：${charInfo}\n过往经历关键词：${eventSummary}\n用户指定主题：${params.theme}\n指定风格：${params.style}\n篇幅要求：${params.length}\n\n请以此创作一段热血、精彩的人生剧本。`;
-  
-  return fetchAI(prompt, system);
 };
 
-/**
+export const generatePath = async (script, callbacks = {}) => {
- * 生成实现路径
+  return runScene('life_healing', {
- * @param {string} script - 剧本内容
+    mode: 'path_generate',
- * @returns {Promise<string>} 生成的路径内容
+    prompt: `请把下面的人生剧本拆解成现实中可执行的路径，按阶段输出。\n\n${script || ''}`,
- */
+    script
-export const generatePath = async (script) => {
+  }, callbacks);
-  const system = "你是一位人生规划导师。请将用户生成的剧本拆解为现实中可操作的路径。使用【阶段名称】加上具体建议。务必客观、可执行。";
-  return fetchAI(script, system);
 };
 
 export default {

life-script/src/services/aiRuntime.js

@@ -0,0 +1,81 @@
+const API_BASE_URL = import.meta.env.VITE_API_BASE_URL || 'http://localhost:8080';
+
+const parseSseFrame = (frame) => {
+  const event = { type: 'message', data: '' };
+  frame.split(/\r?\n/).forEach((line) => {
+    if (line.startsWith('event:')) event.type = line.slice(6).trim();
+    if (line.startsWith('data:')) event.data += line.slice(5).trim();
+  });
+  if (!event.data) return null;
+  try {
+    return JSON.parse(event.data);
+  } catch {
+    return { type: event.type, content: event.data };
+  }
+};
+
+export const streamAiScene = async ({
+  sceneCode,
+  inputs = {},
+  onStart,
+  onDelta,
+  onDone,
+  onError
+}) => {
+  const token = localStorage.getItem('access_token');
+  const response = await fetch(`${API_BASE_URL}/ai/runtime/stream`, {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      ...(token ? { Authorization: `Bearer ${token}` } : {})
+    },
+    body: JSON.stringify({ sceneCode, inputs })
+  });
+
+  if (!response.ok || !response.body) {
+    const message = `AI流式请求失败(${response.status})`;
+    onError?.(message);
+    throw new Error(message);
+  }
+
+  const reader = response.body.getReader();
+  const decoder = new TextDecoder('utf-8');
+  let buffer = '';
+  let output = '';
+
+  const consumeText = (text) => {
+    buffer += text;
+    const frames = buffer.split(/\r?\n\r?\n/);
+    buffer = frames.pop() || '';
+    frames.forEach((frame) => {
+      const event = parseSseFrame(frame);
+      if (!event) return;
+      if (event.type === 'start') {
+        onStart?.(event);
+      } else if (event.type === 'delta') {
+        const delta = event.content || '';
+        output += delta;
+        onDelta?.(delta, output, event);
+      } else if (event.type === 'done') {
+        onDone?.(event, output);
+      } else if (event.type === 'error') {
+        const message = event.message || event.code || 'AI流式请求失败';
+        onError?.(message, event);
+        throw new Error(message);
+      }
+    });
+  };
+
+  while (true) {
+    const { value, done } = await reader.read();
+    if (done) break;
+    consumeText(decoder.decode(value, { stream: true }));
+  }
+  consumeText(decoder.decode());
+  if (buffer.trim()) consumeText('\n\n');
+  return { output };
+};
+
+export default {
+  streamAiScene
+};

life-script/src/views/PathView.jsx

@@ -16,6 +16,7 @@ const PathView = ({ onGoToScript }) => {
   const { getSelectedScript, selectedPath, setPath, loadPath, deletePath, selectedScriptId } = useStore();
   const [isLoading, setIsLoading] = useState(false);
   const [showDeleteConfirm, setShowDeleteConfirm] = useState(false);
+  const [streamPath, setStreamPath] = useState('');
 
   const selectedScript = getSelectedScript();
 
@@ -37,8 +38,12 @@ const PathView = ({ onGoToScript }) => {
     setIsLoading(true);
     
     try {
-      const path = await generatePath(selectedScript.content);
+      setStreamPath('');
+      const path = await generatePath(selectedScript.content, {
+        onDelta: (_delta, output) => setStreamPath(output)
+      });
       await setPath(path, selectedScriptId);
+      setStreamPath('');
     } catch (error) {
       console.error('Failed to generate path:', error);
     } finally {
@@ -77,7 +82,8 @@ const PathView = ({ onGoToScript }) => {
       });
   };
 
-  const pathSteps = parsePathSteps(selectedPath);
+  const visiblePath = streamPath || selectedPath;
+  const pathSteps = parsePathSteps(visiblePath);
 
   // 无剧本时显示提示
   if (!selectedScript) {

life-script/src/views/ScriptView.jsx

@@ -4,6 +4,7 @@ import { GlassCard, GlassButton, GlassInput, GlassSelect } from '../components/u
 import Modal from '../components/Modal';
 import useStore from '../store/useStore';
 import { scriptStyles, scriptLengths } from '../utils/constants';
+import { generateEpicScript } from '../services/ai';
 
 /**
  * ScriptView 组件
@@ -37,6 +38,7 @@ const ScriptView = ({ onOpenProfile }) => {
   const [style, setStyle] = useState(scriptStyles[0].value);
   const [length, setLength] = useState(scriptLengths[0].value);
   const [isLoading, setIsLoading] = useState(false);
+  const [streamContent, setStreamContent] = useState('');
 
   // 编辑模态框状态
   const [isEditModalOpen, setIsEditModalOpen] = useState(false);
@@ -62,16 +64,23 @@ const ScriptView = ({ onOpenProfile }) => {
     setIsLoading(true);
 
     try {
-      // 直接调用后端创建接口，由后端调用AI生成
+      setStreamContent('');
+      const content = await generateEpicScript(
+        { theme, style, length, character: registrationData },
+        lifeEvents,
+        { onDelta: (_delta, output) => setStreamContent(output) }
+      );
       await addScript({
         theme,
         style,
         length,
+        content,
         character: registrationData,
         events: lifeEvents
       });
 
       setTheme('');
+      setStreamContent('');
     } catch (error) {
       console.error('Failed to generate script:', error);
     } finally {
@@ -114,16 +123,24 @@ const ScriptView = ({ onOpenProfile }) => {
     setIsLoading(true);
 
     try {
+      setStreamContent('');
+      const content = await generateEpicScript(
+        { theme: editForm.theme, style: editForm.style, length: editForm.length, character: registrationData },
+        lifeEvents,
+        { onDelta: (_delta, output) => setStreamContent(output) }
+      );
       await updateScript({
         id: editingScript.id,
         theme: editForm.theme,
         style: editForm.style,
         length: editForm.length,
+        content,
         character: registrationData,
         events: lifeEvents,
-        regenerateContent: true  // 标记需要重新生成AI内容
+        regenerateContent: false
       });
       closeEditModal();
+      setStreamContent('');
     } catch (error) {
       console.error('Failed to update script:', error);
     } finally {
@@ -289,7 +306,22 @@ const ScriptView = ({ onOpenProfile }) => {
       {/* 右侧剧本展示区 */}
       <div className="lg:col-span-8">
         <div className="h-full">
-          {selectedScript ? (
+          {isLoading && streamContent ? (
+            <GlassCard className="h-full overflow-y-auto custom-scrollbar border-orange-200/20 shadow-2xl animate-fade-in" padding="lg">
+              <div className="prose prose-invert max-w-none">
+                <div className="flex justify-between items-center mb-8 pb-4 border-b border-white/5">
+                  <div>
+                    <h4 className="text-2xl font-serif text-orange-200">{theme}</h4>
+                    <p className="text-[10px] text-white/30 mt-1 uppercase tracking-widest">正在生成</p>
+                  </div>
+                  <BookOpen className="text-white/20" />
+                </div>
+                <div className="text-white/70 leading-loose whitespace-pre-wrap space-y-6 text-sm">
+                  {streamContent}
+                </div>
+              </div>
+            </GlassCard>
+          ) : selectedScript ? (
             <GlassCard className="h-full overflow-y-auto custom-scrollbar border-orange-200/20 shadow-2xl animate-fade-in relative group" padding="lg">
               {/* 编辑按钮 */}
               <button

life-script/src/views/TimelineView.jsx

@@ -3,6 +3,7 @@ import { Plus, Wind, Sparkles, Pencil, Trash2 } from 'lucide-react';
 import { GlassCard, GlassButton, GlassInput, GlassTextarea } from '../components/ui';
 import Modal from '../components/Modal';
 import useStore from '../store/useStore';
+import { analyzeLifeEvent } from '../services/ai';
 
 /**
  * 格式化 AI 反馈内容的组件
@@ -91,6 +92,7 @@ const TimelineView = () => {
   // 模态框状态
   const [isModalOpen, setIsModalOpen] = useState(false);
   const [isLoading, setIsLoading] = useState(false);
+  const [streamFeedback, setStreamFeedback] = useState('');
 
   // 编辑模式状态：null 表示新增模式，有值表示编辑模式（存储事件 ID）
   const [editingEventId, setEditingEventId] = useState(null);
@@ -111,6 +113,7 @@ const TimelineView = () => {
   const openAddModal = () => {
     setEditingEventId(null);
     setEventForm({ title: '', time: '', content: '' });
+    setStreamFeedback('');
     setIsModalOpen(true);
   };
 
@@ -125,6 +128,7 @@ const TimelineView = () => {
       time: event.time || '',
       content: event.content || ''
     });
+    setStreamFeedback(event.aiFeedback || '');
     setIsModalOpen(true);
   };
 
@@ -135,6 +139,7 @@ const TimelineView = () => {
     setIsModalOpen(false);
     setEditingEventId(null);
     setEventForm({ title: '', time: '', content: '' });
+    setStreamFeedback('');
   };
 
   /**
@@ -149,16 +154,23 @@ const TimelineView = () => {
     setIsLoading(true);
 
     try {
+      setStreamFeedback('');
+      const aiFeedback = await analyzeLifeEvent(eventForm, {
+        onDelta: (_delta, output) => setStreamFeedback(output)
+      });
+
       if (editingEventId) {
         // 编辑模式：调用更新接口
         await updateLifeEvent({
           id: editingEventId,
-          ...eventForm
+          ...eventForm,
+          aiFeedback
         });
       } else {
         // 新增模式：调用添加接口
         await addLifeEvent({
-          ...eventForm
+          ...eventForm,
+          aiFeedback
         });
       }
 
@@ -311,6 +323,15 @@ const TimelineView = () => {
             onChange={(v) => setEventForm(prev => ({ ...prev, content: v }))}
             rows={5}
           />
+          {streamFeedback && (
+            <div className="ai-glow-card p-4 rounded-2xl bg-orange-200/[0.02] border border-orange-200/5">
+              <div className="flex items-center gap-2 mb-3">
+                <Sparkles className="w-3 h-3 text-orange-200" />
+                <span className="text-[9px] uppercase tracking-[0.2em] text-orange-200/60 font-bold">实时疗愈反馈</span>
+              </div>
+              <p className="text-xs italic text-white/50 leading-loose whitespace-pre-wrap">{streamFeedback}</p>
+            </div>
+          )}
           <GlassButton
             variant="primary"
             onClick={handleSubmit}

mini-program/.env.development

@@ -4,9 +4,9 @@ VITE_APP_ENV=dev
 # VITE_API_BASE_URL=http://localhost:19089/api
 # VITE_WS_URL=ws://localhost:19089/ws
 # 直连后端服务（不经过 Nginx）
-VITE_API_BASE_URL=http://101.200.208.45:19089/api
+# VITE_API_BASE_URL=http://101.200.208.45:19089/api
-VITE_WS_URL=ws://101.200.208.45:19089/ws
+# VITE_WS_URL=ws://101.200.208.45:19089/ws
 # 测试环境
-# VITE_API_BASE_URL=https://lifescript.happylifeos.com/api
+VITE_API_BASE_URL=https://lifescript.happylifeos.com/api
-# VITE_WS_URL=wss://lifescript.happylifeos.com/ws
+VITE_WS_URL=wss://lifescript.happylifeos.com/ws
 VITE_DEBUG=true

mini-program/.env.test

@@ -1,6 +1,10 @@
 # 测试环境配置（小程序体验版）
 VITE_APP_ENV=test
 # 直连后端服务（不经过 Nginx）
-VITE_API_BASE_URL=http://101.200.208.45:19089/api
+# VITE_API_BASE_URL=http://101.200.208.45:19089/api
-VITE_WS_URL=ws://101.200.208.45:19089/ws
+# VITE_WS_URL=ws://101.200.208.45:19089/ws
+# VITE_DEBUG=true
+# 测试环境
+VITE_API_BASE_URL=https://lifescript.happylifeos.com/api
+VITE_WS_URL=wss://lifescript.happylifeos.com/ws
 VITE_DEBUG=true

mini-program/src/App.vue

@@ -1,7 +1,6 @@
 <script setup>
 import { ref } from 'vue'
 import { onLaunch, onShow, onHide } from '@dcloudio/uni-app'
-import { useAppStore } from './stores/app.js'
 import { logRuntimeEnv } from './services/request.js'
 import analytics from './services/analytics.js'
 
@@ -9,20 +8,27 @@ const statusBarHeight = ref(0)
 const safeAreaTop = ref(0)
 const safeAreaBottom = ref(0)
 
-onLaunch(async () => {
+const hydrateSafeArea = () => {
+  try {
+    const windowInfo = uni.getWindowInfo ? uni.getWindowInfo() : uni.getSystemInfoSync()
+    statusBarHeight.value = windowInfo.statusBarHeight || 20
+    safeAreaTop.value = windowInfo.safeAreaInsets?.top || windowInfo.statusBarHeight || 20
+    safeAreaBottom.value = windowInfo.safeAreaInsets?.bottom || 0
+    uni.setStorageSync('statusBarHeight', statusBarHeight.value)
+    uni.setStorageSync('safeAreaTop', safeAreaTop.value)
+    uni.setStorageSync('safeAreaBottom', safeAreaBottom.value)
+  } catch (error) {
+    statusBarHeight.value = 20
+    safeAreaTop.value = 20
+    safeAreaBottom.value = 0
+  }
+}
+
+onLaunch(() => {
   console.log('App Launch')
   analytics.initAnalytics()
   logRuntimeEnv('app:onLaunch')
-  const store = useAppStore()
+  hydrateSafeArea()
-  await store.initialize()
-
-  const windowInfo = uni.getWindowInfo()
-  statusBarHeight.value = windowInfo.statusBarHeight || 20
-  safeAreaTop.value = windowInfo.safeAreaInsets?.top || windowInfo.statusBarHeight || 20
-  safeAreaBottom.value = windowInfo.safeAreaInsets?.bottom || 0
-  uni.setStorageSync('statusBarHeight', statusBarHeight.value)
-  uni.setStorageSync('safeAreaTop', safeAreaTop.value)
-  uni.setStorageSync('safeAreaBottom', safeAreaBottom.value)
 })
 
 onShow(() => {

mini-program/src/pages/life-event/form.vue

@@ -336,7 +336,11 @@ const loadEvent = async (id) => {
 }
 
 const assistWrite = async () => {
-  const result = await store.assistEventWriting({ ...form })
+  const result = await store.assistEventWriting({ ...form }, {
+    onDelta: (_delta, output) => {
+      form.content = output
+    }
+  })
   if (!result.success) {
     uni.showToast({ title: result.error || 'AI 帮写失败', icon: 'none' })
     return

mini-program/src/pages/main/PathView.vue

@@ -44,6 +44,7 @@
 import { computed, ref, onMounted, watch } from 'vue'
 import { useAppStore } from '../../stores/app.js'
 import * as lifePathService from '../../services/lifePath.js'
+import { streamAiScene } from '../../services/aiRuntime.js'
 
 const store = useAppStore()
 
@@ -74,11 +75,55 @@ const loadPath = async (scriptId) => {
 const createPlaceholderPath = async (scriptId) => {
   const script = selectedScript.value || {}
   const title = script.title ? `${script.title} · 实现路径` : '我的实现路径'
+  let generatedText = ''
+  try {
+    const streamRes = await streamAiScene({
+      sceneCode: 'life_healing',
+      inputs: {
+        mode: 'path_generate',
+        prompt: `请把下面的人生剧本拆解成现实中可执行的路径，按阶段输出。\n\n${script.content || script.summary || ''}`,
+        script: script.content || script.summary || ''
+      },
+      onDelta: (_delta, output) => {
+        generatedText = output
+        pathData.value = {
+          id: `stream-${scriptId}`,
+          scriptId,
+          title,
+          description: output,
+          steps: output.split('\n').filter(Boolean).slice(0, 6).map((line, index) => ({
+            phase: `阶段${index + 1}`,
+            task: line.replace(/^\d+[.、]\s*/, '').slice(0, 28),
+            desc: line,
+            content: line,
+            done: index === 0
+          })),
+          progress: 8,
+          status: 'active'
+        }
+      }
+    })
+    generatedText = streamRes.output || generatedText
+  } catch (error) {
+    generatedText = ''
+  }
   const steps = [
     { phase: '阶段1', task: '整理目标', desc: '把剧本中的关键目标拆成可以执行的小目标。', content: '把剧本中的关键目标拆成可以执行的小目标。', done: true },
     { phase: '阶段2', task: '建立习惯', desc: '选择一个最小行动，每天稳定推进。', content: '选择一个最小行动，每天稳定推进。', done: false },
     { phase: '阶段3', task: '复盘迭代', desc: '每周回看进展，根据现实反馈调整路径。', content: '每周回看进展，根据现实反馈调整路径。', done: false }
   ]
+  if (generatedText) {
+    const generatedSteps = generatedText.split('\n').filter(Boolean).slice(0, 6).map((line, index) => ({
+      phase: `阶段${index + 1}`,
+      task: line.replace(/^\d+[.、]\s*/, '').slice(0, 28),
+      desc: line,
+      content: line,
+      done: index === 0
+    }))
+    if (generatedSteps.length) {
+      steps.splice(0, steps.length, ...generatedSteps)
+    }
+  }
   try {
     const res = await lifePathService.createPath({
       scriptId,

mini-program/src/pages/main/ScriptView.vue

@@ -95,6 +95,7 @@
         </view>
         <view class="chat-bubble system">
           <text>心愿实现中……</text>
+          <text v-if="streamContent" class="stream-preview">{{ streamContent }}</text>
           <text class="bubble-time">{{ currentMessageTime }}</text>
         </view>
       </view>
@@ -145,11 +146,14 @@
 </template>
 
 <script setup>
-import { computed, onMounted, ref } from 'vue'
+import { computed, onMounted, onUnmounted, ref } from 'vue'
 import { useAppStore } from '../../stores/app.js'
 import analytics from '../../services/analytics.js'
 import * as socialImport from '../../services/socialImport.js'
+import * as epicScriptService from '../../services/epicScript.js'
 import { useTtsPlayer } from '../../composables/useTtsPlayer.js'
+import { transcribeAudio } from '../../services/asr.js'
+import { streamAiScene } from '../../services/aiRuntime.js'
 
 const store = useAppStore()
 const pagePath = '/pages/main/ScriptView'
@@ -160,6 +164,7 @@ const generationStartedAt = ref(0)
 const currentResult = ref(null)
 const currentMessageTime = ref('')
 const currentResultTime = ref('')
+const streamContent = ref('')
 const generating = ref(false)
 const remainingCount = ref(3)
 const style = ref('career')
@@ -167,6 +172,9 @@ const randomRecommendations = ref([])
 const useSocialInsights = ref(true)
 const confirmedInsights = ref([])
 const ttsPlayer = useTtsPlayer({ pagePath })
+let recorderManager = null
+let recordStartedAt = 0
+let recordCancelled = false
 
 const fallbackRecommendations = [
   { text: '如果老板今天突然夸我，我的人生会怎样展开？', tag: '职场逆袭' },
@@ -186,7 +194,7 @@ const socialInsightCopy = computed(() => {
 })
 
 const voiceCopy = computed(() => {
-  if (voiceState.value === 'pressing') return '松开后开始实现心愿'
+  if (voiceState.value === 'pressing') return '松开后识别心愿'
   if (voiceState.value === 'recognizing') return '正在识别你的心愿……'
   if (voiceState.value === 'error') return '语音暂不可用，可以先输入文字'
   return '按住说话，即刻如愿'
@@ -272,30 +280,145 @@ const shuffleInspirations = async () => {
 
 const startVoicePress = () => {
   if (generating.value) return
+  if (!recorderManager) {
+    voiceState.value = 'error'
+    analytics.track('script_voice_recognize_fail', {
+      reason: 'recorder_unavailable'
+    }, { eventType: 'script', pagePath })
+    uni.showToast({ title: '当前环境不支持录音', icon: 'none' })
+    setTimeout(() => {
+      if (voiceState.value === 'error') voiceState.value = 'idle'
+    }, 1800)
+    return
+  }
+  recordCancelled = false
+  recordStartedAt = Date.now()
   voiceState.value = 'pressing'
   analytics.track('script_voice_press_start', {}, { eventType: 'script', pagePath })
+  recorderManager.start({
+    duration: 60000,
+    sampleRate: 16000,
+    numberOfChannels: 1,
+    encodeBitRate: 48000,
+    format: 'mp3'
+  })
 }
 
 const cancelVoicePress = () => {
-  voiceState.value = 'idle'
+  recordCancelled = true
+  if (recorderManager && voiceState.value === 'pressing') {
+    recorderManager.stop()
+  } else {
+    voiceState.value = 'idle'
+  }
+  analytics.track('script_voice_record_cancel', {}, { eventType: 'script', pagePath })
 }
 
 const endVoicePress = async () => {
   if (voiceState.value !== 'pressing') return
   analytics.track('script_voice_press_end', {}, { eventType: 'script', pagePath })
   voiceState.value = 'recognizing'
+  recorderManager?.stop()
+}
 
+const handleVoiceRecognizeSuccess = (text, durationMs) => {
+  wishText.value = text
+  voiceState.value = 'idle'
+  analytics.track('script_voice_recognize_success', {
+    text_length: text.length,
+    duration_ms: durationMs || 0
+  }, { eventType: 'script', pagePath })
+  uni.showToast({ title: '识别成功，可修改后发送', icon: 'none' })
+}
+
+const handleVoiceRecognizeFail = (reason, message = '语音识别失败，请重试') => {
+  voiceState.value = 'error'
+  analytics.track('script_voice_recognize_fail', {
+    reason
+  }, { eventType: 'script', pagePath })
+  uni.showToast({ title: message, icon: 'none' })
   setTimeout(() => {
-    voiceState.value = 'error'
+    if (voiceState.value === 'error') voiceState.value = 'idle'
-    analytics.track('script_voice_recognize_fail', {
+  }, 1800)
-      reason: 'speech_recognition_not_configured'
+}
-    }, { eventType: 'script', pagePath })
-    uni.showToast({ title: '语音识别暂未配置，请先输入文字', icon: 'none' })
 
-    setTimeout(() => {
+const setupRecorder = () => {
-      if (voiceState.value === 'error') voiceState.value = 'idle'
+  if (!uni.getRecorderManager) return
-    }, 1800)
+  recorderManager = uni.getRecorderManager()
-  }, 300)
+  recorderManager.onStop(async (res) => {
+    if (recordCancelled) {
+      voiceState.value = 'idle'
+      return
+    }
+    const duration = Date.now() - recordStartedAt
+    if (!res?.tempFilePath || duration < 500) {
+      handleVoiceRecognizeFail('record_too_short', '说话时间太短，请重试')
+      return
+    }
+    voiceState.value = 'recognizing'
+    try {
+      const response = await transcribeAudio(res.tempFilePath)
+      const text = response?.data?.text?.trim()
+      if (!text) {
+        handleVoiceRecognizeFail('empty_result', '没有识别到内容，请重试')
+        return
+      }
+      handleVoiceRecognizeSuccess(text, response?.data?.durationMs)
+    } catch (error) {
+      handleVoiceRecognizeFail(error?.message || error?.errMsg || 'upload_failed')
+    }
+  })
+  recorderManager.onError((error) => {
+    handleVoiceRecognizeFail(error?.errMsg || 'recorder_error', '录音失败，请检查麦克风权限')
+  })
+}
+
+const generateScriptByStream = async (text) => {
+  const profile = store.userProfile || store.registrationData || {}
+  const characterInfo = epicScriptService.buildCharacterInfo(profile)
+  const lifeEventsSummary = epicScriptService.buildLifeEventsSummary(store.events || [], profile)
+  const streamRes = await streamAiScene({
+    sceneCode: 'script_generate',
+    inputs: {
+      prompt: text,
+      style: style.value,
+      length: 'medium',
+      useSocialInsights: useSocialInsights.value
+    },
+    onDelta: (_delta, output) => {
+      streamContent.value = output
+    }
+  })
+  const content = streamRes.output?.trim()
+  if (!content) {
+    throw new Error('AI 流式输出为空')
+  }
+  const saveRes = await store.createScript({
+    title: text.length > 22 ? `${text.slice(0, 22)}...` : text,
+    theme: text,
+    style: style.value,
+    length: 'medium',
+    content,
+    plotJson: {
+      mode: 'inspiration',
+      prompt: text,
+      source: 'mini-program-stream',
+      fullContent: content
+    },
+    characterInfo,
+    lifeEventsSummary,
+    useSocialInsights: useSocialInsights.value
+  })
+  if (!saveRes.success) {
+    throw new Error(saveRes.error || '保存剧本失败')
+  }
+  return {
+    success: true,
+    data: {
+      script: saveRes.data,
+      remainingCount: remainingCount.value
+    }
+  }
 }
 
 const submitWish = async (source = 'text') => {
@@ -310,6 +433,7 @@ const submitWish = async (source = 'text') => {
   currentMessageTime.value = formatMessageTime()
   generationStartedAt.value = Date.now()
   generating.value = true
+  streamContent.value = ''
   ttsPlayer.reset()
   viewState.value = 'generating'
   analytics.track('script_generation_progress_view', {
@@ -317,12 +441,19 @@ const submitWish = async (source = 'text') => {
     prompt_length: text.length
   }, { eventType: 'script', pagePath })
 
-  const res = await store.generateScriptFromInspiration({
+  let res
-    prompt: text,
+  try {
-    style: style.value,
+    res = await generateScriptByStream(text)
-    length: 'medium',
+  } catch (streamError) {
-    useSocialInsights: useSocialInsights.value
+    analytics.track('script_generate_stream_fail', {
-  })
+      source,
+      error: streamError?.message || 'stream_failed'
+    }, { eventType: 'script', pagePath })
+    res = {
+      success: false,
+      error: streamError?.message || 'AI 流式生成失败'
+    }
+  }
 
   generating.value = false
 
@@ -398,8 +529,16 @@ const loadConfirmedInsights = async () => {
 
 onMounted(() => {
   analytics.track('script_home_view', {}, { eventType: 'script', pagePath })
+  setupRecorder()
   loadConfirmedInsights()
 })
+
+onUnmounted(() => {
+  if (recorderManager && voiceState.value === 'pressing') {
+    recordCancelled = true
+    recorderManager.stop()
+  }
+})
 </script>
 
 <style scoped>
@@ -753,6 +892,16 @@ onMounted(() => {
   color: rgba(255, 255, 255, 0.92);
 }
 
+.stream-preview {
+  display: block;
+  max-height: 320rpx;
+  overflow: hidden;
+  color: rgba(255, 255, 255, 0.86);
+  font-size: 28rpx;
+  line-height: 44rpx;
+  white-space: pre-wrap;
+}
+
 .chat-bubble.done {
   border-color: rgba(192, 132, 252, 0.42);
 }

mini-program/src/pages/splash/index.vue

@@ -16,40 +16,72 @@
 </template>
 
 <script setup>
-import { onMounted, ref } from 'vue'
+import { onMounted, onUnmounted, ref } from 'vue'
 import { useAppStore } from '../../stores/app.js'
 import { logRuntimeEnv } from '../../services/request.js'
 
 const statusBarHeight = ref(20)
 const safeAreaBottom = ref(0)
+const routed = ref(false)
+let bootTimer = null
+let fallbackTimer = null
 
-onMounted(() => {
+const routeOnce = (url, meta = {}) => {
-  logRuntimeEnv('splash:onLoad')
+  if (routed.value) return
-  // 使用新的推荐 API 替代已弃用的 getSystemInfoSync
+  routed.value = true
-  const windowInfo = uni.getWindowInfo()
+  if (bootTimer) clearTimeout(bootTimer)
-  statusBarHeight.value = windowInfo.statusBarHeight || 20
+  if (fallbackTimer) clearTimeout(fallbackTimer)
-  safeAreaBottom.value = windowInfo.safeAreaInsets?.bottom || 0
+  console.log('[AUTH] route', { target: url, ...meta })
-  setTimeout(async () => {
+  uni.reLaunch({ url })
+}
+
+const readWindowInfo = () => {
+  try {
+    const windowInfo = uni.getWindowInfo ? uni.getWindowInfo() : uni.getSystemInfoSync()
+    statusBarHeight.value = windowInfo.statusBarHeight || 20
+    safeAreaBottom.value = windowInfo.safeAreaInsets?.bottom || 0
+  } catch (error) {
+    statusBarHeight.value = uni.getStorageSync('statusBarHeight') || 20
+    safeAreaBottom.value = uni.getStorageSync('safeAreaBottom') || 0
+  }
+}
+
+const resolveInitialRoute = async () => {
+  try {
     const store = useAppStore()
     const session = await store.restoreSession()
 
     if (session.status === store.SESSION_STATUS.AUTHENTICATED) {
       const target = session.hasProfile ? '/pages/main/index' : '/pages/onboarding/index'
-      console.log('[AUTH] route', { target, reason: session.reason, hasProfile: session.hasProfile })
+      routeOnce(target, { reason: session.reason, hasProfile: session.hasProfile })
-      uni.reLaunch({ url: target })
       return
     }
 
     if (session.status === store.SESSION_STATUS.ERROR) {
-      console.log('[AUTH] route', { target: '/pages/login/index', reason: session.reason })
       uni.showToast({ title: '服务连接异常，请稍后重试', icon: 'none' })
-      uni.reLaunch({ url: '/pages/login/index' })
+      routeOnce('/pages/login/index', { reason: session.reason })
       return
     }
 
-    console.log('[AUTH] route', { target: '/pages/login/index', reason: session.reason })
+    routeOnce('/pages/login/index', { reason: session.reason || 'unauthenticated' })
-    uni.reLaunch({ url: '/pages/login/index' })
+  } catch (error) {
-  }, 2000)
+    console.error('[AUTH] splash route failed', error)
+    routeOnce('/pages/login/index', { reason: 'splash_exception', message: error?.message })
+  }
+}
+
+onMounted(() => {
+  logRuntimeEnv('splash:onLoad')
+  readWindowInfo()
+  bootTimer = setTimeout(resolveInitialRoute, 500)
+  fallbackTimer = setTimeout(() => {
+    routeOnce('/pages/login/index', { reason: 'splash_route_timeout' })
+  }, 3000)
+})
+
+onUnmounted(() => {
+  if (bootTimer) clearTimeout(bootTimer)
+  if (fallbackTimer) clearTimeout(fallbackTimer)
 })
 </script>
 
@@ -63,7 +95,6 @@ onMounted(() => {
   font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
 }
 
-/* 标题字体 - Cinzel (原型标准) */
 .app-name.font-serif {
   font-family: 'Cinzel', 'Inter', serif;
 }

mini-program/src/services/aiRuntime.js

@@ -0,0 +1,120 @@
+import { getEnvValue } from '../config/env.js'
+
+const API_BASE_URL = getEnvValue('API_BASE_URL')
+
+const getAuthHeader = () => {
+  const token = uni.getStorageSync('access_token')
+  return token ? { Authorization: `Bearer ${token}` } : {}
+}
+
+const decodeChunk = (arrayBuffer) => {
+  if (typeof TextDecoder !== 'undefined') {
+    return new TextDecoder('utf-8').decode(arrayBuffer)
+  }
+  const bytes = new Uint8Array(arrayBuffer)
+  let binary = ''
+  bytes.forEach(byte => {
+    binary += String.fromCharCode(byte)
+  })
+  try {
+    return decodeURIComponent(escape(binary))
+  } catch (error) {
+    return binary
+  }
+}
+
+const parseSseFrame = (frame) => {
+  const event = { type: 'message', data: '' }
+  frame.split(/\r?\n/).forEach((line) => {
+    if (line.startsWith('event:')) event.type = line.slice(6).trim()
+    if (line.startsWith('data:')) event.data += line.slice(5).trim()
+  })
+  if (!event.data) return null
+  try {
+    return JSON.parse(event.data)
+  } catch (error) {
+    return { type: event.type, content: event.data }
+  }
+}
+
+export const streamAiScene = ({ sceneCode, inputs = {}, onStart, onDelta, onDone, onError }) => {
+  let buffer = ''
+  let output = ''
+  let closed = false
+
+  return new Promise((resolve, reject) => {
+    const failStream = (message, event) => {
+      if (closed) return
+      closed = true
+      onError?.(message, event)
+      reject(new Error(message))
+    }
+
+    const requestTask = uni.request({
+      url: `${API_BASE_URL}/ai/runtime/stream`,
+      method: 'POST',
+      data: { sceneCode, inputs },
+      header: {
+        'Content-Type': 'application/json',
+        ...getAuthHeader()
+      },
+      enableChunked: true,
+      timeout: 120000,
+      success: (res) => {
+        if (closed) return
+        if (res.statusCode >= 400) {
+          const message = res.data?.message || 'AI流式请求失败'
+          failStream(message)
+          return
+        }
+        if (typeof res.data === 'string' && res.data) {
+          consumeText(res.data, failStream)
+        }
+        if (buffer.trim()) {
+          consumeText('\n\n', failStream)
+        }
+        closed = true
+        resolve({ output })
+      },
+      fail: (error) => {
+        failStream(error.errMsg || 'AI流式请求失败')
+      }
+    })
+
+    requestTask?.onChunkReceived?.((res) => {
+      try {
+        consumeText(decodeChunk(res.data), failStream)
+      } catch (error) {
+        failStream(error.message || 'AI流式请求失败')
+      }
+    })
+  })
+
+  function consumeText(text, failStream) {
+    buffer += text
+    const frames = buffer.split(/\r?\n\r?\n/)
+    buffer = frames.pop() || ''
+    frames.forEach((frame) => {
+      const event = parseSseFrame(frame)
+      if (!event) return
+      if (event.type === 'start') {
+        onStart?.(event)
+      } else if (event.type === 'delta') {
+        output += event.content || ''
+        onDelta?.(event.content || '', output, event)
+      } else if (event.type === 'done') {
+        onDone?.(event, output)
+      } else if (event.type === 'error') {
+        const message = event.message || event.code || 'AI流式请求失败'
+        failStream(message, event)
+      }
+    })
+    if (buffer.trim() && text === '') {
+      buffer = ''
+    }
+  }
+}
+
+export default {
+  streamAiScene
+}

mini-program/src/services/asr.js

@@ -0,0 +1,9 @@
+import { upload } from './request.js'
+
+export const transcribeAudio = (filePath) => {
+  return upload('/asr/transcribe', filePath, {}, 'file')
+}
+
+export default {
+  transcribeAudio
+}

mini-program/src/services/lifeEvent.js

@@ -4,6 +4,7 @@
  */
 
 import { get, post, put, del } from './request.js'
+import { streamAiScene } from './aiRuntime.js'
 
 export const getEventList = async () => {
   const response = await get('/lifeEvent/list')
@@ -37,8 +38,22 @@ export const deleteEvent = async (id) => {
   return response
 }
 
-export const assistEventWriting = async (eventData = {}) => {
+export const assistEventWriting = async (eventData = {}, callbacks = {}) => {
-  return post('/lifeEvent/ai-assist', eventData)
+  const result = await streamAiScene({
+    sceneCode: 'life_healing',
+    inputs: {
+      mode: 'life_event_assist',
+      prompt: `请帮我优化这段人生事件记录，保留真实细节，让表达更清晰温柔。\n标题：${eventData.title || ''}\n时间：${eventData.time || eventData.eventDateText || ''}\n内容：${eventData.content || ''}`,
+      ...eventData
+    },
+    ...callbacks
+  })
+  return {
+    data: {
+      content: result.output,
+      tags: eventData.tags || []
+    }
+  }
 }
 
 export const chatAboutEvent = async (eventData = {}) => {

mini-program/src/stores/app.js

@@ -171,9 +171,9 @@ const deleteEvent = async (id) => {
   }
 }
 
-const assistEventWriting = async (eventData) => {
+const assistEventWriting = async (eventData, callbacks = {}) => {
   try {
-    const res = await lifeEventService.assistEventWriting(eventData)
+    const res = await lifeEventService.assistEventWriting(eventData, callbacks)
     return { success: true, data: res.data }
   } catch (error) {
     return { success: false, error: error.message }
@@ -223,9 +223,9 @@ const fetchScripts = async () => {
 
 const createScript = async (scriptData) => {
   try {
-    await epicScriptService.createScript(scriptData)
+    const res = await epicScriptService.createScript(scriptData)
     await fetchScripts()
-    return { success: true }
+    return { success: true, data: res.data }
   } catch (error) {
     return { success: false, error: error.message }
   }

sql/2026-05-22-ai-scene-routing.sql

@@ -0,0 +1,232 @@
+CREATE TABLE IF NOT EXISTS `t_ai_provider` (
+  `id` varchar(64) NOT NULL COMMENT 'primary key',
+  `provider_code` varchar(64) NOT NULL COMMENT 'provider code',
+  `provider_name` varchar(100) NOT NULL COMMENT 'provider display name',
+  `provider_type` varchar(32) NOT NULL COMMENT 'dify/coze/openai/etc',
+  `base_url` varchar(500) NOT NULL COMMENT 'provider base url',
+  `api_key` text NULL COMMENT 'api key or token',
+  `auth_type` varchar(32) DEFAULT 'bearer' COMMENT 'auth type',
+  `default_headers` text NULL COMMENT 'json headers',
+  `timeout_ms` int DEFAULT 60000 COMMENT 'timeout milliseconds',
+  `is_enabled` tinyint DEFAULT 1 COMMENT '0 disabled, 1 enabled',
+  `description` varchar(500) NULL COMMENT 'description',
+  `create_by` varchar(64) NULL,
+  `create_time` datetime DEFAULT CURRENT_TIMESTAMP,
+  `update_by` varchar(64) NULL,
+  `update_time` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
+  `is_deleted` tinyint DEFAULT 0,
+  `remarks` varchar(500) NULL,
+  PRIMARY KEY (`id`),
+  UNIQUE KEY `uk_ai_provider_code` (`provider_code`),
+  KEY `idx_ai_provider_type` (`provider_type`, `is_enabled`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='AI provider configuration';
+
+CREATE TABLE IF NOT EXISTS `t_ai_endpoint_config` (
+  `id` varchar(64) NOT NULL COMMENT 'primary key',
+  `endpoint_code` varchar(100) NOT NULL COMMENT 'endpoint code',
+  `endpoint_name` varchar(100) NOT NULL COMMENT 'endpoint display name',
+  `provider_id` varchar(64) NOT NULL COMMENT 'provider id',
+  `endpoint_type` varchar(32) NOT NULL COMMENT 'workflow/chat/completion',
+  `api_path` varchar(300) NULL COMMENT 'provider api path',
+  `workflow_id` varchar(128) NULL COMMENT 'workflow id',
+  `bot_id` varchar(128) NULL COMMENT 'bot id',
+  `model_name` varchar(128) NULL COMMENT 'model name',
+  `response_mode` varchar(32) DEFAULT 'streaming' COMMENT 'streaming/blocking',
+  `request_template` text NULL COMMENT 'json request template with {{var}} placeholders',
+  `default_inputs` text NULL COMMENT 'json default inputs',
+  `custom_headers` text NULL COMMENT 'json custom headers',
+  `timeout_ms` int DEFAULT 60000 COMMENT 'timeout milliseconds',
+  `support_stream` tinyint DEFAULT 1 COMMENT '0 no, 1 yes',
+  `is_enabled` tinyint DEFAULT 1 COMMENT '0 disabled, 1 enabled',
+  `description` varchar(500) NULL COMMENT 'description',
+  `create_by` varchar(64) NULL,
+  `create_time` datetime DEFAULT CURRENT_TIMESTAMP,
+  `update_by` varchar(64) NULL,
+  `update_time` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
+  `is_deleted` tinyint DEFAULT 0,
+  `remarks` varchar(500) NULL,
+  PRIMARY KEY (`id`),
+  UNIQUE KEY `uk_ai_endpoint_code` (`endpoint_code`),
+  KEY `idx_ai_endpoint_provider` (`provider_id`, `is_enabled`),
+  KEY `idx_ai_endpoint_type` (`endpoint_type`, `support_stream`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='AI endpoint and workflow configuration';
+
+CREATE TABLE IF NOT EXISTS `t_ai_scene_binding` (
+  `id` varchar(64) NOT NULL COMMENT 'primary key',
+  `scene_code` varchar(100) NOT NULL COMMENT 'scene code',
+  `scene_name` varchar(100) NOT NULL COMMENT 'scene display name',
+  `endpoint_id` varchar(64) NOT NULL COMMENT 'endpoint id',
+  `input_schema` text NULL COMMENT 'json schema or field description',
+  `prompt_template` text NULL COMMENT 'reserved prompt template',
+  `required_stream` tinyint DEFAULT 1 COMMENT '0 no, 1 yes',
+  `priority` int DEFAULT 0 COMMENT 'larger value wins',
+  `is_enabled` tinyint DEFAULT 1 COMMENT '0 disabled, 1 enabled',
+  `version` varchar(32) DEFAULT 'v1' COMMENT 'binding version',
+  `description` varchar(500) NULL COMMENT 'description',
+  `create_by` varchar(64) NULL,
+  `create_time` datetime DEFAULT CURRENT_TIMESTAMP,
+  `update_by` varchar(64) NULL,
+  `update_time` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
+  `is_deleted` tinyint DEFAULT 0,
+  `remarks` varchar(500) NULL,
+  PRIMARY KEY (`id`),
+  KEY `idx_ai_scene_code` (`scene_code`, `is_enabled`, `priority`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='AI scene to endpoint binding';
+
+CREATE TABLE IF NOT EXISTS `t_ai_call_log` (
+  `id` varchar(64) NOT NULL COMMENT 'primary key',
+  `scene_code` varchar(100) NULL COMMENT 'scene code',
+  `provider_code` varchar(64) NULL COMMENT 'provider code',
+  `endpoint_code` varchar(100) NULL COMMENT 'endpoint code',
+  `user_id` varchar(64) NULL COMMENT 'user id',
+  `request_id` varchar(64) NULL COMMENT 'request id',
+  `status` varchar(32) NULL COMMENT 'running/success/failed',
+  `input_text` mediumtext NULL COMMENT 'input payload',
+  `output_text` mediumtext NULL COMMENT 'stream output',
+  `error_code` varchar(64) NULL COMMENT 'error code',
+  `error_message` text NULL COMMENT 'error message',
+  `first_token_ms` bigint NULL COMMENT 'first token latency',
+  `duration_ms` bigint NULL COMMENT 'duration milliseconds',
+  `stream_chunks` int DEFAULT 0 COMMENT 'stream delta chunks',
+  `create_by` varchar(64) NULL,
+  `create_time` datetime DEFAULT CURRENT_TIMESTAMP,
+  `update_by` varchar(64) NULL,
+  `update_time` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
+  `is_deleted` tinyint DEFAULT 0,
+  `remarks` varchar(500) NULL,
+  PRIMARY KEY (`id`),
+  KEY `idx_ai_call_scene_time` (`scene_code`, `create_time`),
+  KEY `idx_ai_call_request` (`request_id`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='AI runtime call log';
+
+INSERT INTO `t_ai_scene_binding`
+(`id`, `scene_code`, `scene_name`, `endpoint_id`, `input_schema`, `required_stream`, `priority`, `is_enabled`, `version`, `description`)
+SELECT UUID(), scene_code, scene_name, '', '{"prompt":"string"}', 1, 0, 0, 'v1', 'Reserved scene. Bind an enabled endpoint before use.'
+FROM (
+  SELECT 'chat' scene_code, 'AI 对话' scene_name UNION ALL
+  SELECT 'script_generate', '剧本生成' UNION ALL
+  SELECT 'short_story_generate', '短篇小说生成' UNION ALL
+  SELECT 'diary_summary', '日记总结' UNION ALL
+  SELECT 'emotion_summary', '情绪总结' UNION ALL
+  SELECT 'emotion_analysis', '情绪分析' UNION ALL
+  SELECT 'life_healing', '人生事件疗愈'
+) s
+WHERE NOT EXISTS (
+  SELECT 1 FROM `t_ai_scene_binding` b WHERE b.`scene_code` = s.scene_code AND b.`is_deleted` = 0
+);
+
+UPDATE `t_ai_scene_binding`
+SET `scene_name` = CASE `scene_code`
+  WHEN 'chat' THEN 'AI 对话'
+  WHEN 'script_generate' THEN '剧本生成'
+  WHEN 'short_story_generate' THEN '短篇小说生成'
+  WHEN 'diary_summary' THEN '日记总结'
+  WHEN 'emotion_summary' THEN '情绪总结'
+  WHEN 'emotion_analysis' THEN '情绪分析'
+  WHEN 'life_healing' THEN '人生事件疗愈'
+  ELSE `scene_name`
+END
+WHERE `scene_code` IN ('chat', 'script_generate', 'short_story_generate', 'diary_summary', 'emotion_summary', 'emotion_analysis', 'life_healing')
+  AND `is_deleted` = 0;
+
+INSERT INTO `t_ai_provider`
+(`id`, `provider_code`, `provider_name`, `provider_type`, `base_url`, `api_key`, `auth_type`, `default_headers`, `timeout_ms`, `is_enabled`, `description`)
+SELECT UUID(), 'coze_default', 'Coze 默认服务商', 'coze', 'https://api.coze.cn', c.`api_token`, 'bearer', NULL,
+       COALESCE(c.`timeout_ms`, 60000), 1, '由旧 AI 配置自动迁移生成'
+FROM `t_ai_config` c
+WHERE c.`is_deleted` = 0
+  AND c.`provider` = 'coze'
+  AND c.`api_token` IS NOT NULL
+  AND c.`api_token` <> ''
+  AND NOT EXISTS (
+    SELECT 1 FROM `t_ai_provider` p WHERE p.`provider_code` = 'coze_default' AND p.`is_deleted` = 0
+  )
+ORDER BY c.`create_time` DESC
+LIMIT 1;
+
+INSERT INTO `t_ai_provider`
+(`id`, `provider_code`, `provider_name`, `provider_type`, `base_url`, `api_key`, `auth_type`, `default_headers`, `timeout_ms`, `is_enabled`, `description`)
+SELECT UUID(), 'dify_default', 'Dify 默认服务商', 'dify', 'http://49.232.138.53/v1', 'app-MqQOx09gCu9zzlKMpeLqHQHv',
+       'bearer', NULL, 60000, 1, '由 Dify 平台接口文档初始化生成'
+WHERE NOT EXISTS (
+  SELECT 1 FROM `t_ai_provider` p WHERE p.`provider_code` = 'dify_default' AND p.`is_deleted` = 0
+);
+
+INSERT INTO `t_ai_endpoint_config`
+(`id`, `endpoint_code`, `endpoint_name`, `provider_id`, `endpoint_type`, `api_path`, `workflow_id`, `bot_id`, `response_mode`,
+ `request_template`, `default_inputs`, `custom_headers`, `timeout_ms`, `support_stream`, `is_enabled`, `description`)
+SELECT UUID(), c.`config_key`, c.`config_name`, p.`id`,
+       CASE WHEN c.`workflow_id` IS NOT NULL AND c.`workflow_id` <> '' THEN 'workflow' ELSE 'chat' END,
+       CASE
+         WHEN c.`api_base_url` LIKE '%/v1/workflow/stream_run' THEN '/v1/workflow/stream_run'
+         WHEN c.`api_base_url` LIKE '%/v3/chat' THEN '/v3/chat'
+         ELSE '/v1/workflow/stream_run'
+       END,
+       c.`workflow_id`, c.`bot_id`, 'streaming',
+       NULL, '{}', c.`custom_headers`, COALESCE(c.`timeout_ms`, 60000), COALESCE(c.`support_stream`, 1), c.`is_enabled`,
+       CONCAT('由旧 AI 配置迁移：', c.`config_key`)
+FROM `t_ai_config` c
+JOIN `t_ai_provider` p ON p.`provider_code` = 'coze_default' AND p.`is_deleted` = 0
+WHERE c.`is_deleted` = 0
+  AND c.`provider` = 'coze'
+  AND NOT EXISTS (
+    SELECT 1 FROM `t_ai_endpoint_config` e
+    WHERE e.`endpoint_code` COLLATE utf8mb4_unicode_ci = c.`config_key` COLLATE utf8mb4_unicode_ci
+      AND e.`is_deleted` = 0
+  );
+
+INSERT INTO `t_ai_endpoint_config`
+(`id`, `endpoint_code`, `endpoint_name`, `provider_id`, `endpoint_type`, `api_path`, `workflow_id`, `bot_id`, `response_mode`,
+ `request_template`, `default_inputs`, `custom_headers`, `timeout_ms`, `support_stream`, `is_enabled`, `description`)
+SELECT UUID(), endpoint_code, endpoint_name, p.`id`, 'chat', '/chat-messages', NULL, NULL, 'streaming',
+       NULL, '{}', NULL, 60000, 1, 1, '由 Dify 平台接口文档初始化生成'
+FROM (
+  SELECT 'dify.script_generate.chat_messages' endpoint_code, 'Dify 剧本生成对话接口' endpoint_name UNION ALL
+  SELECT 'dify.short_story_generate.chat_messages', 'Dify 短篇小说生成对话接口'
+) seed
+JOIN `t_ai_provider` p ON p.`provider_code` = 'dify_default' AND p.`is_deleted` = 0
+WHERE NOT EXISTS (
+  SELECT 1 FROM `t_ai_endpoint_config` e WHERE e.`endpoint_code` = seed.endpoint_code AND e.`is_deleted` = 0
+);
+
+UPDATE `t_ai_scene_binding` s
+JOIN `t_ai_endpoint_config` e ON e.`endpoint_code` = 'coze.chat.default' AND e.`is_deleted` = 0
+SET s.`endpoint_id` = e.`id`, s.`is_enabled` = 1, s.`required_stream` = 1, s.`description` = '已绑定现有 Coze 聊天工作流'
+WHERE s.`scene_code` = 'chat' AND s.`is_deleted` = 0;
+
+UPDATE `t_ai_scene_binding` s
+JOIN `t_ai_endpoint_config` e ON e.`endpoint_code` = 'dify.script_generate.chat_messages' AND e.`is_deleted` = 0
+SET s.`endpoint_id` = e.`id`, s.`is_enabled` = 1, s.`required_stream` = 1, s.`description` = '已绑定 Dify 剧本生成接口'
+WHERE s.`scene_code` = 'script_generate' AND s.`is_deleted` = 0;
+
+UPDATE `t_ai_scene_binding` s
+JOIN `t_ai_endpoint_config` e ON e.`endpoint_code` = 'dify.short_story_generate.chat_messages' AND e.`is_deleted` = 0
+SET s.`endpoint_id` = e.`id`, s.`is_enabled` = 1, s.`required_stream` = 1, s.`description` = '已绑定 Dify 短篇小说生成接口'
+WHERE s.`scene_code` = 'short_story_generate' AND s.`is_deleted` = 0;
+
+UPDATE `t_ai_scene_binding` s
+JOIN `t_ai_endpoint_config` e ON e.`endpoint_code` = 'coze.user.dairy.summary' AND e.`is_deleted` = 0
+SET s.`endpoint_id` = e.`id`, s.`is_enabled` = 1, s.`required_stream` = 1, s.`description` = '已绑定现有 Coze 日记总结工作流'
+WHERE s.`scene_code` = 'diary_summary' AND s.`is_deleted` = 0;
+
+UPDATE `t_ai_scene_binding` s
+JOIN `t_ai_endpoint_config` e ON e.`endpoint_code` = 'coze.user.life.state' AND e.`is_deleted` = 0
+SET s.`endpoint_id` = e.`id`, s.`is_enabled` = 1, s.`required_stream` = 1, s.`description` = '已绑定现有 Coze 用户状态分析工作流'
+WHERE s.`scene_code` = 'emotion_analysis' AND s.`is_deleted` = 0;
+
+UPDATE `t_ai_scene_binding` s
+JOIN `t_ai_endpoint_config` e ON e.`endpoint_code` = 'coze.summary.default' AND e.`is_deleted` = 0
+SET s.`endpoint_id` = e.`id`, s.`is_enabled` = 1, s.`required_stream` = 1, s.`description` = '已绑定现有 Coze 情绪总结工作流'
+WHERE s.`scene_code` = 'emotion_summary' AND s.`is_deleted` = 0;
+
+UPDATE `t_ai_scene_binding` s
+JOIN `t_ai_endpoint_config` e ON e.`endpoint_code` = 'coze.user.dairy.summary' AND e.`is_deleted` = 0
+SET s.`endpoint_id` = e.`id`, s.`is_enabled` = 1, s.`required_stream` = 1, s.`description` = '已绑定现有 Coze 日记总结工作流，作为情绪总结兜底'
+WHERE s.`scene_code` = 'emotion_summary'
+  AND s.`is_deleted` = 0
+  AND (s.`endpoint_id` IS NULL OR s.`endpoint_id` = '' OR s.`is_enabled` = 0);
+
+UPDATE `t_ai_scene_binding` s
+JOIN `t_ai_endpoint_config` e ON e.`endpoint_code` = 'coze.user.dairy.summary' AND e.`is_deleted` = 0
+SET s.`endpoint_id` = e.`id`, s.`is_enabled` = 1, s.`required_stream` = 1, s.`description` = '已绑定现有 Coze 人生事件疗愈工作流'
+WHERE s.`scene_code` = 'life_healing' AND s.`is_deleted` = 0;

web-admin/src/router/index.ts

@@ -64,7 +64,7 @@ const routes: RouteRecordRaw[] = [
       {
         path: 'list',
         name: 'AiConfigList',
-        component: () => import('@/views/aiconfig/AiConfigList.vue'),
+        component: () => import('@/views/aiconfig/AiRoutingList.vue'),
         meta: { title: 'AI配置列表' }
       }
     ]

web-admin/src/types/aiconfig.ts

@@ -186,3 +186,91 @@ export const CURRENCY_OPTIONS = [
   { label: '美元', value: 'USD' },
   { label: '人民币', value: 'CNY' }
 ]
+
+export interface AiProvider {
+  id?: string
+  providerCode: string
+  providerName: string
+  providerType: string
+  baseUrl: string
+  apiKey?: string
+  authType?: string
+  defaultHeaders?: string
+  timeoutMs?: number
+  isEnabled?: number
+  description?: string
+  createTime?: string
+  updateTime?: string
+}
+
+export interface AiEndpointConfig {
+  id?: string
+  endpointCode: string
+  endpointName: string
+  providerId: string
+  endpointType: string
+  apiPath?: string
+  workflowId?: string
+  botId?: string
+  modelName?: string
+  responseMode?: string
+  requestTemplate?: string
+  defaultInputs?: string
+  customHeaders?: string
+  timeoutMs?: number
+  supportStream?: number
+  isEnabled?: number
+  description?: string
+  createTime?: string
+  updateTime?: string
+}
+
+export interface AiSceneBinding {
+  id?: string
+  sceneCode: string
+  sceneName: string
+  endpointId: string
+  inputSchema?: string
+  promptTemplate?: string
+  requiredStream?: number
+  priority?: number
+  isEnabled?: number
+  version?: string
+  description?: string
+  createTime?: string
+  updateTime?: string
+}
+
+export interface AiCallLog {
+  id: string
+  sceneCode?: string
+  providerCode?: string
+  endpointCode?: string
+  userId?: string
+  requestId?: string
+  status?: string
+  inputText?: string
+  outputText?: string
+  errorCode?: string
+  errorMessage?: string
+  firstTokenMs?: number
+  durationMs?: number
+  streamChunks?: number
+  createTime?: string
+}
+
+export interface AiRuntimeRequest {
+  sceneCode: string
+  userId?: string
+  inputs: Record<string, any>
+}
+
+export interface AiRuntimeTestResponse {
+  sceneCode: string
+  status: string
+  output?: string
+  durationMs?: number
+  streamChunks?: number
+  errorCode?: string
+  errorMessage?: string
+}

web/src/services/aiRuntime.ts

@@ -0,0 +1,100 @@
+import { envConfig } from '@/config/env'
+
+export interface AiStreamEvent {
+  type: 'start' | 'delta' | 'done' | 'error' | string
+  content?: string
+  code?: string
+  message?: string
+  seq?: number
+  metadata?: Record<string, any>
+  timestamp?: number
+}
+
+export interface StreamAiSceneOptions {
+  sceneCode: string
+  inputs?: Record<string, any>
+  onStart?: (event: AiStreamEvent) => void
+  onDelta?: (delta: string, output: string, event: AiStreamEvent) => void
+  onDone?: (event: AiStreamEvent, output: string) => void
+  onError?: (message: string, event?: AiStreamEvent) => void
+}
+
+const parseSseFrame = (frame: string): AiStreamEvent | null => {
+  const parsed = { type: 'message', data: '' }
+  frame.split(/\r?\n/).forEach((line) => {
+    if (line.startsWith('event:')) parsed.type = line.slice(6).trim()
+    if (line.startsWith('data:')) parsed.data += line.slice(5).trim()
+  })
+  if (!parsed.data) return null
+  try {
+    return JSON.parse(parsed.data)
+  } catch {
+    return { type: parsed.type, content: parsed.data }
+  }
+}
+
+export const streamAiScene = async ({
+  sceneCode,
+  inputs = {},
+  onStart,
+  onDelta,
+  onDone,
+  onError
+}: StreamAiSceneOptions): Promise<{ output: string }> => {
+  const token = localStorage.getItem('access_token')
+  const response = await fetch(`${envConfig.apiBaseUrl}/ai/runtime/stream`, {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      ...(token ? { Authorization: `Bearer ${token}` } : {})
+    },
+    body: JSON.stringify({ sceneCode, inputs })
+  })
+
+  if (!response.ok || !response.body) {
+    const message = `AI流式请求失败(${response.status})`
+    onError?.(message)
+    throw new Error(message)
+  }
+
+  const reader = response.body.getReader()
+  const decoder = new TextDecoder('utf-8')
+  let buffer = ''
+  let output = ''
+
+  const consumeText = (text: string) => {
+    buffer += text
+    const frames = buffer.split(/\r?\n\r?\n/)
+    buffer = frames.pop() || ''
+    frames.forEach((frame) => {
+      const event = parseSseFrame(frame)
+      if (!event) return
+      if (event.type === 'start') {
+        onStart?.(event)
+      } else if (event.type === 'delta') {
+        const delta = event.content || ''
+        output += delta
+        onDelta?.(delta, output, event)
+      } else if (event.type === 'done') {
+        onDone?.(event, output)
+      } else if (event.type === 'error') {
+        const message = event.message || event.code || 'AI流式请求失败'
+        onError?.(message, event)
+        throw new Error(message)
+      }
+    })
+  }
+
+  while (true) {
+    const { value, done } = await reader.read()
+    if (done) break
+    consumeText(decoder.decode(value, { stream: true }))
+  }
+  consumeText(decoder.decode())
+  if (buffer.trim()) consumeText('\n\n')
+  return { output }
+}
+
+export default {
+  streamAiScene
+}

web/src/services/stomp-websocket.ts

@@ -6,7 +6,7 @@ import { envConfig } from '@/config/env'
 export interface WebSocketMessage {
   messageId?: string
   conversationId?: string
-  type: 'TEXT' | 'TYPING' | 'SYSTEM' | 'ERROR' | 'HEARTBEAT' | 'CONNECTION' | 'AI_THINKING'
+  type: 'TEXT' | 'TYPING' | 'SYSTEM' | 'ERROR' | 'HEARTBEAT' | 'CONNECTION' | 'AI_THINKING' | 'AI_STREAM_START' | 'AI_STREAM_DELTA' | 'AI_STREAM_DONE' | 'AI_STREAM_ERROR' | 'AI_STREAM_EVENT'
   content: string
   senderId: string
   senderType: 'USER' | 'GUEST' | 'AI' | 'SYSTEM'

web/src/stores/chat.ts

@@ -469,6 +469,60 @@ export const useChatStore = defineStore('chat', () => {
     await processMessageQueue()
   }
 
+  const ensureStreamingAiMessage = async (wsMessage: WebSocketMessage) => {
+    const messageId = wsMessage.messageId || `ai-stream-${Date.now()}`
+    let message = messages.value.find(m => m.id === messageId)
+    if (!message) {
+      await processMessageQueue()
+      message = messages.value.find(m => m.id === messageId)
+    }
+    if (!message) {
+      addMessage({
+        id: messageId,
+        content: '',
+        type: 'ai',
+        conversationId: wsMessage.conversationId || currentSession.value?.id,
+        timestamp: wsMessage.createTime || new Date().toISOString()
+      })
+      await processMessageQueue()
+      message = messages.value.find(m => m.id === messageId)
+    }
+    return message
+  }
+
+  const handleAiStreamMessage = async (wsMessage: WebSocketMessage) => {
+    const message = await ensureStreamingAiMessage(wsMessage)
+    if (!message) return
+
+    if (wsMessage.type === 'AI_STREAM_START') {
+      isTyping.value = true
+      message.status = 'sending'
+      return
+    }
+
+    if (wsMessage.type === 'AI_STREAM_DELTA') {
+      isTyping.value = false
+      message.content += wsMessage.content || ''
+      message.status = 'sending'
+      return
+    }
+
+    if (wsMessage.type === 'AI_STREAM_DONE') {
+      isTyping.value = false
+      message.status = 'sent'
+      return
+    }
+
+    if (wsMessage.type === 'AI_STREAM_ERROR') {
+      isTyping.value = false
+      message.status = 'failed'
+      message.error = wsMessage.data?.message || wsMessage.content || 'AI服务暂时不可用'
+      if (!message.content) {
+        message.content = message.error
+      }
+    }
+  }
+
   // WebSocket消息处理 - 使用队列处理所有消息
   let handleWebSocketMessage = async (wsMessage: WebSocketMessage) => {
     console.log('收到WebSocket消息:', wsMessage.type, wsMessage.senderType, '消息ID:', wsMessage.messageId)
@@ -484,6 +538,14 @@ export const useChatStore = defineStore('chat', () => {
       case 'AI_THINKING':
         // AI正在思考 - 不修改响应式数据，避免竞态
         console.log('⏳ AI正在思考中...')
+        isTyping.value = true
+        break
+
+      case 'AI_STREAM_START':
+      case 'AI_STREAM_DELTA':
+      case 'AI_STREAM_DONE':
+      case 'AI_STREAM_ERROR':
+        await handleAiStreamMessage(wsMessage)
         break
 
       case 'CONNECTION':