From d6c0cd534ba6bdac90020c5eb5fe0d7a4d4b1dda Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=BC=A0=E6=96=8C?= <259278618@qq.com>
Date: Thu, 16 Jul 2026 14:09:58 +0800
Subject: [PATCH] 1

---
 config.yml                               |   7 +-
 prompt.md                                |  22 +-
 short_drama.db                           | Bin 462848 -> 462848 bytes
 shortdrama/agent/chat_model.go           |  29 ++-
 shortdrama/model/domain/shot.go          |  22 +-
 shortdrama/service/drama_service.go      | 252 ++++++++++++++---------
 shortdrama/service/episode_service.go    |  13 +-
 shortdrama/service/generation_context.go |   4 +
 8 files changed, 232 insertions(+), 117 deletions(-)

diff --git a/config.yml b/config.yml
index e7d419b..141d216 100644
--- a/config.yml
+++ b/config.yml
@@ -8,4 +8,9 @@ server:
     name: video
     workerId: 1
     clientMaxBodySize: 209715200  # 200MB 上传文件限制
-    requestTimeout: 180          # HTTP请求超时(秒)，默认60秒，改为3分钟以支持AI生成脚本
+    requestTimeout: 300          # HTTP请求超时(秒)，默认60秒，改为3分钟以支持AI生成脚本
+
+# AI模型调用配置
+chat:
+    timeout: 300          # 对话模型API请求超时时间(秒)
+    max_retries: 3        # 请求失败最大重试次数
diff --git a/prompt.md b/prompt.md
index 4967714..8f37f66 100644
--- a/prompt.md
+++ b/prompt.md
@@ -67,4 +67,24 @@
 
 ## 剧本生成
 
-你是一位专业的短剧编剧。请根据剧情描述和可用演员、场景、道具，创作一份详细的单集剧本。创作时严格以剧情描述为核心，不要自行编造与剧情描述无关的情节。
+你是一位专业的短剧编剧。请根据剧情描述和可用演员、场景、道具，创作一份详细的单集剧本。
+
+### 核心原则：剧情描述是内容下限，不是上限
+
+- **保留所有细节**：剧情描述中出现的每一个具体动作、表情变化、对话互动、环境细节都必须完整保留在对应的镜头中，不能省略、概括或泛化（例如"百姓指指点点"是泛化，原文写了老汉瞪眼、妇人交头接耳、小孩摸轮胎被拽回，就必须把这些具体细节写进镜头）。
+- **丰富而非删减**：在保留全部原有细节的基础上，可以增加合理的微观动作、反应表情、环境互动来让每个镜头更丰满。不要删除任何已有内容来"精简"。
+- **禁止概括**：如果你发现自己把一个具体的动作写成了概括性的描述，说明你在删减。请回到剧情描述中把具体细节还原出来。
+
+### 旁白与主台词区分
+
+每个镜头必须严格区分以下两种内容：
+- **旁白（narration）**：画外音解说，以第三人称描述场景背景、角色状态、时间地点等。旁白不是角色说的话，而是解说性的叙述文字。
+- **主台词（dialogue）**：角色在画面中亲口说出的对白和台词。如果有多个角色对话，请标注角色名。
+- 短剧需要同时有旁白解说和角色对白来推动剧情，两者缺一不可。
+
+### 节奏要求
+短剧节奏必须紧凑明快，遵循以下原则：
+1. **快速推进**：每1-3秒内必须有新的情节信息、动作、对白或事件转折，不能让观众感到内容稀疏。
+2. **高事件密度**：将剧情描述中的情节密集地分配到时间线上，确保每一秒都有实质内容，每个镜头必须有明确的情节日地。
+3. **避免松散**：镜头切换要频繁，单个镜头不宜过长。如果一个镜头超过8秒还没有新信息出现，说明太松散，请拆分或加速节奏。
+4. **拒绝空镜头**：不要为了凑时长而加入无情节推进作用的过渡性镜头，每一帧都要服务于叙事。
\ No newline at end of file
diff --git a/short_drama.db b/short_drama.db
index 002cb2590e5cfbfb74af1130b6914edfeb6c99f5..58303b646619fe153b5f98b32ebb4e5a6f725cee 100644
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diff --git a/shortdrama/agent/chat_model.go b/shortdrama/agent/chat_model.go
index 463c402..72b2d65 100644
--- a/shortdrama/agent/chat_model.go
+++ b/shortdrama/agent/chat_model.go
@@ -21,6 +21,7 @@ type ModelConfig struct {
 	MaxTokens   int           // 最大Token数
 	Temperature float32       // 温度参数
 	Timeout     time.Duration // HTTP请求超时(0表示默认)
+	MaxRetries  int           // 最大重试次数(0表示默认3次)
 }
 
 // CallChatModel 调用大模型聊天接口（OpenAI 兼容格式）
@@ -40,7 +41,7 @@ func CallChatModel(ctx context.Context, cfg *ModelConfig, req *ChatRequest) (*Ch
 
 	timeout := cfg.Timeout
 	if timeout <= 0 {
-		timeout = 180 * time.Second
+		timeout = 300 * time.Second
 	}
 
 	body, err := buildReqBody(cfg.ModelName, req)
@@ -49,10 +50,14 @@ func CallChatModel(ctx context.Context, cfg *ModelConfig, req *ChatRequest) (*Ch
 	}
 
 	url := trimSlashes(cfg.BaseURL) + "/v1/chat/completions"
-	g.Log().Infof(ctx, "ChatAPI 开始调用 model=%s timeout=%v max_retries=3 body_size=%d", cfg.ModelName, timeout, len(body))
 
 	var lastErr error
-	maxRetries := 3
+	maxRetries := cfg.MaxRetries
+	if maxRetries <= 0 {
+		maxRetries = 3
+	}
+	g.Log().Infof(ctx, "ChatAPI 开始调用 model=%s timeout=%v max_retries=%d body_size=%d", cfg.ModelName, timeout, maxRetries, len(body))
+
 	for attempt := 0; attempt <= maxRetries; attempt++ {
 		if attempt > 0 {
 			wait := time.Duration(1<<(attempt-1)) * time.Second
@@ -68,6 +73,7 @@ func CallChatModel(ctx context.Context, cfg *ModelConfig, req *ChatRequest) (*Ch
 		if doErr == nil {
 			g.Log().Infof(ctx, "ChatAPI 调用成功 url=%s tool_calls=%d content_len=%d",
 				url, len(result.ToolCalls), len(result.Content))
+			g.Log().Printf(ctx, "ChatAPI 返回内容:\n%s", result.Content)
 			return result, nil
 		}
 
@@ -117,7 +123,7 @@ func doChatRequest(ctx context.Context, url, apiKey string, body []byte, timeout
 	g.Log().Infof(ctx, "ChatAPI 响应完成 status=%d body_len=%d elapsed=%v",
 		resp.StatusCode, len(respBody), elapsed)
 
-	return parseRespBody(respBody)
+	return parseRespBody(ctx, respBody)
 }
 
 // ==================== 内部实现 ====================
@@ -160,8 +166,9 @@ type apiRespBody struct {
 }
 
 type apiChoice struct {
-	Index   int        `json:"index"`
-	Message apiRespMsg `json:"message"`
+	Index        int        `json:"index"`
+	Message      apiRespMsg `json:"message"`
+	FinishReason string     `json:"finish_reason"`
 }
 
 // apiRespMsg 响应消息体（arguments 使用 json.RawMessage 兼容对象和字符串）
@@ -230,7 +237,7 @@ func toAPIMessages(msgs []*ChatMessage) []apiMessage {
 			om.ToolCalls = make([]apiToolCall, 0, len(m.ToolCalls))
 			for _, tc := range m.ToolCalls {
 				args := tc.Arguments
-				if args == "" {
+				if args == "" || !json.Valid([]byte(args)) {
 					args = "{}"
 				}
 				om.ToolCalls = append(om.ToolCalls, apiToolCall{
@@ -248,7 +255,7 @@ func toAPIMessages(msgs []*ChatMessage) []apiMessage {
 	return out
 }
 
-func parseRespBody(data []byte) (*ChatResponse, error) {
+func parseRespBody(ctx context.Context, data []byte) (*ChatResponse, error) {
 	var resp apiRespBody
 	if err := json.Unmarshal(data, &resp); err != nil {
 		return nil, fmt.Errorf("解析响应失败: %s", string(data))
@@ -262,6 +269,12 @@ func parseRespBody(data []byte) (*ChatResponse, error) {
 
 	msg := resp.Choices[0].Message
 	cr := &ChatResponse{Content: msg.Content}
+
+	// 检测 finish_reason 是否为 length（被 max_tokens 截断）
+	if resp.Choices[0].FinishReason == "length" {
+		g.Log().Warningf(ctx, "ChatAPI 响应被截断(finish_reason=length), 当前content_len=%d, 请考虑增大max_tokens", len(msg.Content))
+	}
+
 	if len(msg.ToolCalls) > 0 {
 		cr.ToolCalls = make([]*ToolCall, 0, len(msg.ToolCalls))
 		for _, tc := range msg.ToolCalls {
diff --git a/shortdrama/model/domain/shot.go b/shortdrama/model/domain/shot.go
index 5990b13..e128401 100644
--- a/shortdrama/model/domain/shot.go
+++ b/shortdrama/model/domain/shot.go
@@ -9,13 +9,15 @@ import (
 // Shot 单集剧本中的单个镜头
 type Shot struct {
 	Index          int      `json:"index"`
-	StartTime      string   `json:"startTime"`      // "MM:SS"
-	EndTime        string   `json:"endTime"`        // "MM:SS"
-	Event          string   `json:"event"`          // 事件描述
-	CameraMovement string   `json:"cameraMovement"` // 运镜描述
-	Characters     []string `json:"characters"`     // 出演人物（演员名列表）
-	Scene          string   `json:"scene"`          // 场景（场景名）
-	Props          []string `json:"props"`          // 道具（道具名列表）
+	StartTime      string   `json:"startTime"`           // "MM:SS"
+	EndTime        string   `json:"endTime"`             // "MM:SS"
+	Event          string   `json:"event"`               // 事件描述/动作描写
+	Narration      string   `json:"narration,omitempty"` // 旁白（画外音解说，不是角色说的话）
+	Dialogue       string   `json:"dialogue,omitempty"`  // 主台词（角色亲口说的对白）
+	CameraMovement string   `json:"cameraMovement"`      // 运镜描述
+	Characters     []string `json:"characters"`          // 出演人物（演员名列表）
+	Scene          string   `json:"scene"`               // 场景（场景名）
+	Props          []string `json:"props"`               // 道具（道具名列表）
 }
 
 // ShotsToText 将镜头数组转回纯文本格式，供视频生成流程（ReAct Agent）使用
@@ -26,6 +28,12 @@ func ShotsToText(shots []Shot) string {
 	}
 	for _, s := range shots {
 		fmt.Fprintf(&b, "【镜头%d】（%s-%s）\n", s.Index, s.StartTime, s.EndTime)
+		if s.Narration != "" {
+			fmt.Fprintf(&b, "旁白：%s\n", s.Narration)
+		}
+		if s.Dialogue != "" {
+			fmt.Fprintf(&b, "台词：%s\n", s.Dialogue)
+		}
 		if s.Event != "" {
 			fmt.Fprintf(&b, "事件：%s\n", s.Event)
 		}
diff --git a/shortdrama/service/drama_service.go b/shortdrama/service/drama_service.go
index 56ee969..94ba184 100644
--- a/shortdrama/service/drama_service.go
+++ b/shortdrama/service/drama_service.go
@@ -389,66 +389,72 @@ func (s *dramaService) generateOneSegment(ctx context.Context, d *entity.Drama,
 	}
 	totalSegs := len(segDurs)
 
-	// 调用 Agent
-	result, err := s.generateSegment(ctx, d, ep, segIdx, segDur, segStartTime, totalSegs, modelCfg, feedback, genCtx)
-	if err != nil {
-		return err
-	}
-
-	segOutput := model.ParseAgentOutput(result, segIdx)
-	if len(segOutput.Scenes) == 0 {
-		g.Log().Warningf(ctx, "第%d集第%d段 Agent 未生成场景数据，请检查输入", ep.Index, segIdx+1)
-	}
-
-	// 从 Agent 原始输出中提取图片数据，回填到 segOutput
-	images := model.ExtractAgentImages(result)
-	for i := range segOutput.Characters {
-		if b64, ok := images.CharacterImages[segOutput.Characters[i].Name]; ok {
-			segOutput.Characters[i].ImageBase64 = b64
+	// JSON 镜头脚本跳过 Agent，直接构建场景描述提交视频模型
+	var segOutput *model.SegmentOutput
+	if domain.IsShotsJSON(ep.Script) && feedback == "" {
+		segOutput = buildSegOutputFromShots(ep.Script, segIdx, segStartTime, segDur)
+		g.Log().Infof(ctx, "第%d集第%d段 JSON镜头直接提交: %d个镜头", ep.Index, segIdx+1, len(segOutput.Scenes))
+	} else {
+		result, err := s.generateSegment(ctx, d, ep, segIdx, segDur, segStartTime, totalSegs, modelCfg, feedback, genCtx)
+		if err != nil {
+			return err
 		}
-	}
-	for i := range segOutput.Scenes {
-		if i < len(images.SceneImages) {
-			segOutput.Scenes[i].ImageBase64 = images.SceneImages[i].Base64
+		segOutput = model.ParseAgentOutput(result, segIdx)
+		if len(segOutput.Scenes) == 0 {
+			g.Log().Warningf(ctx, "第%d集第%d段 Agent 未生成场景数据，请检查输入", ep.Index, segIdx+1)
 		}
-	}
 
-	// 重新加载演员列表（包含新插入的形象路径）
-	characters, _, _ = dao.Character.ListPageByDrama(ctx, d.Id, 1, -1)
+		// 从 Agent 原始输出中提取图片数据
+		images := model.ExtractAgentImages(result)
+		for i := range segOutput.Characters {
+			if b64, ok := images.CharacterImages[segOutput.Characters[i].Name]; ok {
+				segOutput.Characters[i].ImageBase64 = b64
+			}
+		}
+		for i := range segOutput.Scenes {
+			if i < len(images.SceneImages) {
+				segOutput.Scenes[i].ImageBase64 = images.SceneImages[i].Base64
+			}
+		}
 
-	// 从数据库已有形象回填 base64（优先于 Agent 生成的临时图片）
-	if len(characters) > 0 {
-		charMap := make(map[string]string)
-		for _, c := range characters {
-			if c.PortraitPath != "" {
-				if b64, err := imageFileToBase64(c.PortraitPath); err == nil {
-					charMap[c.Name] = b64
+		// 重新加载演员列表
+		characters, _, _ = dao.Character.ListPageByDrama(ctx, d.Id, 1, -1)
+
+		// 从数据库已有形象回填 base64
+		if len(characters) > 0 {
+			charMap := make(map[string]string)
+			for _, c := range characters {
+				if c.PortraitPath != "" {
+					if b64, err := imageFileToBase64(c.PortraitPath); err == nil {
+						charMap[c.Name] = b64
+					}
+				}
+			}
+			for i := range segOutput.Characters {
+				name := segOutput.Characters[i].Name
+				if img, ok := charMap[name]; ok {
+					segOutput.Characters[i].ImageBase64 = img
 				}
 			}
 		}
-		for i := range segOutput.Characters {
-			name := segOutput.Characters[i].Name
-			if img, ok := charMap[name]; ok {
-				segOutput.Characters[i].ImageBase64 = img
-			}
-		}
-	}
 
-	// 保存场景图片到 workspace
-	dramaTitle := d.Title
-	for i := range segOutput.Scenes {
-		scene := &segOutput.Scenes[i]
-		if scene.ImageBase64 != "" {
-			if path, err := s.saveBase64Image(ctx, dramaTitle, scene.ImageBase64, "场景",
-				fmt.Sprintf("seg_%d_scene_%d.png", segIdx, i)); err == nil {
-				scene.ImagePath = path
-				scene.ImageBase64 = "" // 清除 base64
-			} else {
-				g.Log().Warningf(ctx, "保存场景图片失败: %v", err)
+		// 保存场景图片到 workspace
+		dramaTitle := d.Title
+		for i := range segOutput.Scenes {
+			scene := &segOutput.Scenes[i]
+			if scene.ImageBase64 != "" {
+				if path, err := s.saveBase64Image(ctx, dramaTitle, scene.ImageBase64, "场景",
+					fmt.Sprintf("seg_%d_scene_%d.png", segIdx, i)); err == nil {
+					scene.ImagePath = path
+					scene.ImageBase64 = ""
+				} else {
+					g.Log().Warningf(ctx, "保存场景图片失败: %v", err)
+				}
 			}
 		}
 	}
 
+	// 读取 task 中已有的 NumSegments
 	// 读取 task 中已有的 NumSegments
 	task, _ := dao.GenerationTask.GetOne(ctx, taskId)
 	numSegments := 1
@@ -548,6 +554,65 @@ func (s *dramaService) generateOneSegment(ctx context.Context, d *entity.Drama,
 	return nil
 }
 
+// buildSegOutputFromShots 从 JSON 镜头数组直接构建 SegmentOutput（跳过 Agent）
+// 将本段所有镜头合并为一段连贯的场景描述，去掉"旁白/台词/事件"标记，适合视频模型理解
+func buildSegOutputFromShots(script string, segIdx, segStartTime, segDur int) *model.SegmentOutput {
+	var allShots []domain.Shot
+	if err := json.Unmarshal([]byte(script), &allShots); err != nil || len(allShots) == 0 {
+		return &model.SegmentOutput{Index: segIdx, TextOutput: script}
+	}
+
+	segEndTime := segStartTime + segDur
+	var segShots []domain.Shot
+	charSet := make(map[string]bool)
+	for _, sh := range allShots {
+		shStart := parseMMSSToSeconds(sh.StartTime)
+		shEnd := parseMMSSToSeconds(sh.EndTime)
+		if shEnd <= segStartTime || shStart >= segEndTime {
+			continue
+		}
+		segShots = append(segShots, sh)
+		for _, c := range sh.Characters {
+			if c != "" {
+				charSet[c] = true
+			}
+		}
+	}
+
+	var chars []model.SegmentCharacter
+	for name := range charSet {
+		chars = append(chars, model.SegmentCharacter{Name: name})
+	}
+
+	// 将所有镜头合并为一段连贯描述（去掉旁白/台词/事件标记，自然语言拼接）
+	descParts := make([]string, 0, len(segShots)*2)
+	for _, sh := range segShots {
+		// 旁白直接作为叙述
+		if sh.Narration != "" {
+			descParts = append(descParts, sh.Narration)
+		}
+		// 事件描述
+		if sh.Event != "" {
+			descParts = append(descParts, sh.Event)
+		}
+		// 对话以自然方式嵌入
+		if sh.Dialogue != "" {
+			descParts = append(descParts, sh.Dialogue)
+		}
+	}
+	fullDesc := strings.Join(descParts, "，")
+
+	return &model.SegmentOutput{
+		Index: segIdx,
+		Scenes: []model.SegmentScene{{
+			Index:       0,
+			Description: fullDesc,
+			Duration:    segDur,
+		}},
+		Characters: chars,
+	}
+}
+
 // generateSegment 调用 Agent 生成一段内容
 func (s *dramaService) generateSegment(ctx context.Context, d *entity.Drama, ep *entity.Episode,
 	segIdx, segDur, segStartTime, totalSegs int, modelCfg *entity.ModelConfig, feedback string,
@@ -641,7 +706,7 @@ func (s *dramaService) buildSegPrompt(ctx context.Context, d *entity.Drama, ep *
 - 每个演员应保持形象一致，参考形象文件路径中的图片。
 - 输出 JSON 必须包含完整的人物定义（characters）和场景定义（scenes）。
 - **参考图数量约束：本段中所有演员形象+场景图片+道具图片的合计参考图数量不得超过%d张（首帧已占用1个参考位，剩余%d个参考位供分配）。请合理规划，确保合计数量不超出此限制。**
-- **内容密度要求：每秒钟的视频内容必须有足够的视觉信息填充。请确保场景描述(description)细分到位，包含角色的具体动作、表情变化、镜头运动、环境互动等，避免"两个人对话""走过街道"这样过于概括的描述。一段%d秒的视频应该包含流畅的情节推进，不能出现长时间静止或内容稀疏的画面。**
+- **节奏与密度要求：短剧节奏必须紧凑明快，每3-8秒内必须有新的情节推进、动作、对白或事件转折，避免拖沓松散。请确保场景描述(description)细分到位，包含角色的具体动作、表情变化、镜头运动、环境互动等，避免"两个人对话""走过街道"这样过于概括的描述。一段%d秒的视频应该包含流畅的情节推进，不能出现长时间静止或内容稀疏的画面。镜头切换要频繁，每个镜头必须有明确的情节日地，删除所有无信息量的过渡性空镜头。**
 - **内容合规要求：场景描述(description)和台词(lines)将提交给第三方视频生成API，该API有自动化内容审查机制。请避免使用以下可能触发审查的词汇和表达：(1)军事敏感词汇如"军装""军旗""军功章""军人"等，建议替换为"制服""旗帜""荣誉勋章""老兵"等；(2)口号式表达如"若有战召必回"等；(3)激烈动作描写如"握拳""指节发白""目光如炬""紧握""猛然"等，建议使用温和表达。请使用合规语言创作，确保内容能通过自动化审核。**%s`,
 		PromptService.GetSystemPrompt(ctx),
 		ep.Index, segIdx+1, totalSegs, segDur,
@@ -1320,7 +1385,6 @@ func (s *dramaService) submitVideoTask(ctx context.Context, d *entity.Drama, ep
 
 	// 构建 prompt：将场景描述中的实体名称替换为 character1/character2/... 直接引用参考素材
 	refURLs := make([]string, len(namedURLs))
-	refExplanation := ""
 	if len(namedURLs) > 0 {
 		type nameLabel struct {
 			name  string
@@ -1344,22 +1408,18 @@ func (s *dramaService) submitVideoTask(ctx context.Context, d *entity.Drama, ep
 		for i, nu := range namedURLs {
 			refParts = append(refParts, fmt.Sprintf("character%d=%s", i+1, nu.name))
 		}
-		refExplanation = fmt.Sprintf("。角色引用说明：%s", strings.Join(refParts, "、"))
 	}
 
-	prompt := fmt.Sprintf("短剧《%s》第%d集第%d段：%s%s", d.Title, ep.Index, segIdx+1, sceneText, refExplanation)
+	prompt := sceneText
 	if promptMaxChars > 0 && len([]rune(prompt)) > promptMaxChars {
-		prefix := fmt.Sprintf("短剧《%s》第%d集第%d段：", d.Title, ep.Index, segIdx+1)
-		refLen := len([]rune(refExplanation))
-		keepSceneLen := promptMaxChars - refLen - len([]rune(prefix))
-		if keepSceneLen < 50 {
-			keepSceneLen = 50
+		keepLen := promptMaxChars
+		if keepLen < 50 {
+			keepLen = 50
 		}
-		sceneRunes := []rune(sceneText)
-		if keepSceneLen < len(sceneRunes) {
-			sceneText = "..." + string(sceneRunes[len(sceneRunes)-keepSceneLen+3:])
+		promptRunes := []rune(prompt)
+		if keepLen < len(promptRunes) {
+			prompt = "..." + string(promptRunes[len(promptRunes)-keepLen+3:])
 		}
-		prompt = prefix + sceneText + refExplanation
 		g.Log().Infof(ctx, "prompt超长已截断至%d字符(原%d字符)", promptMaxChars, len([]rune(prompt)))
 	}
 
@@ -1371,17 +1431,39 @@ func (s *dramaService) submitVideoTask(ctx context.Context, d *entity.Drama, ep
 		}
 	}
 
+	// 从 video_schema 判断当前模型是否支持 duration 参数
+	effectiveDur := segDur
+	if modelCfg.VideoSchema != "" {
+		var vs map[string]any
+		if err := json.Unmarshal([]byte(modelCfg.VideoSchema), &vs); err == nil {
+			if durDef := nested(vs, "parameters", "duration"); durDef != nil {
+				if durMap, ok := durDef.(map[string]any); ok {
+					if sm, ok := durMap["supported_models"]; ok {
+						if models, ok := sm.([]any); ok {
+							found := false
+							for _, m := range models {
+								if ms, ok := m.(string); ok && ms == modelCfg.VideoModelName {
+									found = true
+									break
+								}
+							}
+							if !found {
+								effectiveDur = 0
+							}
+						}
+					}
+				}
+			} else {
+				// schema 未定义 duration 参数 → 不支持自定义时长
+				effectiveDur = 0
+			}
+		}
+	}
+
 	taskId, requestJSON, err := createVideoTask(ctx, modelCfg.VideoApiKey, modelCfg.VideoBaseUrl, modelCfg.VideoModelName,
-		prompt, negativePrompt, refURLs, segDur, d.Resolution, d.AspectRatio, modelCfg.VideoSchema)
+		prompt, negativePrompt, refURLs, effectiveDur, d.Resolution, d.AspectRatio, modelCfg.VideoSchema)
 	if err != nil {
-		errStr := strings.ToLower(err.Error())
-		if strings.Contains(errStr, "duration") && (strings.Contains(errStr, "not support") || strings.Contains(errStr, "not supported")) {
-			taskId, requestJSON, err = createVideoTask(ctx, modelCfg.VideoApiKey, modelCfg.VideoBaseUrl, modelCfg.VideoModelName,
-				prompt, negativePrompt, refURLs, 0, d.Resolution, d.AspectRatio, modelCfg.VideoSchema)
-		}
-		if err != nil {
-			return "", "", fmt.Errorf("视频合成请求失败: %w", err)
-		}
+		return "", "", fmt.Errorf("视频合成请求失败: %w", err)
 	}
 
 	if taskId == "" {
@@ -1403,37 +1485,11 @@ func createVideoTask(ctx context.Context, apiKey, baseURL, modelName, prompt, ne
 			"prompt": prompt,
 		},
 	}
-
+	body["input"].(map[string]any)["reference_urls"] = refURLs
 	// input.negative_prompt — 反向提示词（从 negative_prompt.md 读取，不为空时才发送）
 	if negativePrompt != "" {
 		body["input"].(map[string]any)["negative_prompt"] = negativePrompt
 	}
-
-	// input.reference_urls — 纯 URL 字符串数组，顺序对应 character1/character2/...
-	// 解析 refURLs：http/https/data: 开头的保持原样，文件路径转为 base64 data URL
-	for i, u := range refURLs {
-		if strings.HasPrefix(u, "http://") || strings.HasPrefix(u, "https://") || strings.HasPrefix(u, "data:") {
-			continue
-		}
-		if b64, err := imageFileToBase64(u); err == nil {
-			refURLs[i] = b64
-		} else {
-			g.Log().Warningf(ctx, "reference_urls 元素无法解析为文件或URL，跳过: %s", u)
-		}
-	}
-	if len(refURLs) > 0 {
-		body["input"].(map[string]any)["reference_urls"] = refURLs
-	} else {
-		// 无参考图时使用默认首帧
-		if imgData, err := os.ReadFile(DefaultFirstFramePath); err == nil {
-			b64 := base64.StdEncoding.EncodeToString(imgData)
-			body["input"].(map[string]any)["reference_urls"] = []string{"data:image/png;base64," + b64}
-			g.Log().Infof(ctx, "使用默认首帧图作为 reference_urls")
-		} else {
-			g.Log().Warningf(ctx, "读取默认首帧图失败: %v", err)
-		}
-	}
-
 	// 从 video_schema 读取模型特定参数（结构按 API 请求格式: input / parameters）
 	params := map[string]any{}
 	if videoSchema != "" {
@@ -1485,6 +1541,8 @@ func createVideoTask(ctx context.Context, apiKey, baseURL, modelName, prompt, ne
 	body["parameters"] = params
 
 	payload, _ := json.Marshal(body)
+	promptStr, _ := body["input"].(map[string]any)["prompt"].(string)
+	g.Log().Infof(ctx, "视频API请求 body_size=%d prompt_len=%d prompt:\n%s", len(payload), len([]rune(promptStr)), promptStr)
 	req, err := http.NewRequestWithContext(ctx, "POST", baseURL, strings.NewReader(string(payload)))
 	if err != nil {
 		return "", "", fmt.Errorf("创建请求失败: %w", err)
diff --git a/shortdrama/service/episode_service.go b/shortdrama/service/episode_service.go
index c9dd201..bed0e19 100644
--- a/shortdrama/service/episode_service.go
+++ b/shortdrama/service/episode_service.go
@@ -206,7 +206,8 @@ func (s *dramaService) GenerateScript(ctx context.Context, dramaId int64, episod
 		BaseURL:     modelCfg.ChatBaseUrl,
 		MaxTokens:   modelCfg.MaxTokens,
 		Temperature: float32(modelCfg.Temperature),
-		Timeout:     3 * time.Minute,
+		Timeout:     time.Duration(g.Cfg().MustGet(ctx, "chat.timeout", 180).Int()) * time.Second,
+		MaxRetries:  g.Cfg().MustGet(ctx, "chat.max_retries", 3).Int(),
 	}
 
 	messages := []*agent.ChatMessage{
@@ -233,10 +234,12 @@ func (s *dramaService) GenerateScript(ctx context.Context, dramaId int64, episod
 	if parseErr := json.Unmarshal([]byte(raw), &shots); parseErr == nil && len(shots) > 0 {
 		script = raw
 		g.Log().Infof(ctx, "JSON镜头脚本生成成功: 短剧=%s, 剧集=%s, 镜头数=%d", d.Title, episodeTitle, len(shots))
+
 	} else {
 		// 非JSON格式，作为纯文本返回
 		script = raw
 		g.Log().Infof(ctx, "文本脚本生成成功(非JSON): 短剧=%s, 剧集=%s, 长度=%d字符", d.Title, episodeTitle, len([]rune(raw)))
+		g.Log().Printf(ctx, "模型返回的文本:\n%s", raw)
 	}
 	return
 }
@@ -287,7 +290,7 @@ func (s *dramaService) buildScriptGenUserInput(d *entity.Drama, episodeTitle, de
 		b.WriteString("\n")
 	}
 
-	b.WriteString(fmt.Sprintf("【要求】\n请根据以上剧情描述，为当前剧集创作一份详细的剧本。剧情描述是核心创作依据，请严格围绕其内容展开。\n\n输出格式：JSON数组，每个元素是一个镜头对象(shot)，包含以下字段：\n- index: 镜头序号（从1开始）\n- startTime: 开始时间（格式MM:SS）\n- endTime: 结束时间（格式MM:SS）\n- event: 事件描述（该镜头中发生的情节概括）\n- cameraMovement: 运镜方式，从以下标准类型中选择一种：固定镜头、推、拉、摇、移、跟、升、降、旋转、晃动、航拍\n- characters: 出演人物数组，填写演员名称，如[\"张三\", \"李四\"]，从「可用演员」中选择\n- scene: 场景名称，从「可用场景」中选择\n- props: 道具名称数组，如[\"剑\", \"酒杯\"]，从「可用道具」中选择\n\n直接输出JSON数组，不要markdown代码块标记，不要其他任何内容。\n\n要求：\n1. 剧本必须紧扣剧情描述展开\n2. 所有镜头时长之和应等于 %d 秒（每个镜头%d-%d秒不等）\n3. 优先使用提供的演员、场景和道具，如需新增请合理创作\n4. 每个镜头的characters、scene、props字段必须从提供的可用列表中选取名称，确保与参考素材一致\n5. 对话自然流畅，情节有起伏\n6. 镜头数量建议6-15个\n", d.EpisodeDuration, d.MinShotDuration, d.MaxShotDuration))
+	b.WriteString(fmt.Sprintf("【要求】\n请根据以上剧情描述，为当前剧集创作一份详细的剧本。剧情描述是核心创作依据，请严格围绕其内容展开。\n\n输出格式：JSON数组，每个元素是一个镜头对象(shot)，包含以下字段：\n- index: 镜头序号（从1开始）\n- startTime: 开始时间（格式MM:SS）\n- endTime: 结束时间（格式MM:SS）\n- narration: 旁白（画外音解说），描述场景背景、角色状态、时间地点等，第三人称叙述。不是角色说的话。\n- dialogue: 主台词（角色亲口说的对白），如角色A说「你好」，角色B说「再见」。多人对话可用A：...B：...格式。\n- event: 事件描述/动作描写（该镜头中发生的情节概括和角色动作）\n- cameraMovement: 运镜方式，从以下标准类型中选择一种：固定镜头、推、拉、摇、移、跟、升、降、旋转、晃动、航拍\n- characters: 出演人物数组，填写演员名称，如[\"张三\", \"李四\"]，从「可用演员」中选择\n- scene: 场景名称，从「可用场景」中选择\n- props: 道具名称数组，如[\"剑\", \"酒杯\"]，从「可用道具」中选择\n\n直接输出JSON数组，不要markdown代码块标记，不要其他任何内容。\n\n要求：\n1. 剧本必须紧扣剧情描述展开\n2. 所有镜头时长之和应等于 %d 秒（每个镜头%d-%d秒不等）\n3. 优先使用提供的演员、场景和道具，如需新增请合理创作\n4. 每个镜头的characters、scene、props字段必须从提供的可用列表中选取名称，确保与参考素材一致\n5. **严格区分旁白和主台词：narration是画外音（描述场景/角色），dialogue是角色在画面中说出口的对话。不要混淆两者。短剧需要同时有旁白解说和角色对白来推动剧情。**\n6. **节奏紧凑：剧情推进要快速有力，避免拖沓。每%d-%d秒内必须有新的情节信息、动作、对白或事件转折，不能让观众感到内容稀疏。**\n7. **事件密度：将剧情描述中的情节密集地分配到时间线上，确保每一秒都有实质内容。每个镜头必须有明确的情节目的，删除所有无信息量的过渡性空镜头。**\n8. **避免松散：镜头切换要频繁，单个镜头不宜过长。如果一个镜头超过%d秒还没有新信息出现，说明太松散，请拆分或加速节奏。**\n9. **禁止删减和泛化：剧情描述中的每一个具体细节（人物的动作、表情反应、对话、环境互动等）都必须忠实地保留在对应镜头的event、narration或dialogue字段中，不能省略、概括或改写为泛化描述。例如「百姓指指点点」是泛化，必须写出具体谁做了什么表情/动作。「衙役尝了说好」是泛化，必须写出闻香→咽口水→试探咬→瞳孔放大→猛咬→竖拇指→满嘴油光这整个递进过程。如果你发现在把原文细节丢掉，请停下来把细节还原回去。**\n", d.EpisodeDuration, d.MinShotDuration, d.MaxShotDuration, d.MinShotDuration, d.MaxShotDuration, d.MaxShotDuration))
 
 	return b.String()
 }
@@ -466,11 +469,14 @@ func createPendingTasks(ctx context.Context, dramaId, epId int64, script string,
 			totalDur int
 		}
 		var cur _shotGroup
+		var prevScene string
 		for _, sh := range allShots {
 			shDur := parseMMSSToSeconds(sh.EndTime) - parseMMSSToSeconds(sh.StartTime)
 			if shDur <= 0 {
 				shDur = 1
 			}
+			// 场景切换 → 必须分段（不同场景不能合并到同一段）
+			sceneChanged := len(cur.shots) > 0 && sh.Scene != prevScene
 			// 计算加入当前镜头后的候选组总时长和提示词长度
 			candShots := make([]domain.Shot, len(cur.shots)+1)
 			copy(candShots, cur.shots)
@@ -481,7 +487,7 @@ func createPendingTasks(ctx context.Context, dramaId, epId int64, script string,
 			exceedDur := len(cur.shots) > 0 && candDur > effectiveMax
 			exceedChars := promptMaxChars > 0 && len([]rune(candPrompt)) > promptMaxChars
 
-			if exceedDur || exceedChars {
+			if exceedDur || exceedChars || sceneChanged {
 				// 当前组已满，保存并开启新组
 				taskGroups = append(taskGroups, _taskGroup{
 					promptText: buildFinalPrompt(domain.ShotsToText(cur.shots)),
@@ -492,6 +498,7 @@ func createPendingTasks(ctx context.Context, dramaId, epId int64, script string,
 				cur.shots = candShots
 				cur.totalDur = candDur
 			}
+			prevScene = sh.Scene
 		}
 		if len(cur.shots) > 0 {
 			taskGroups = append(taskGroups, _taskGroup{
diff --git a/shortdrama/service/generation_context.go b/shortdrama/service/generation_context.go
index 688eeeb..ea0549d 100644
--- a/shortdrama/service/generation_context.go
+++ b/shortdrama/service/generation_context.go
@@ -87,8 +87,10 @@ func (c *GenerationContext) buildRefIndex() error {
 		}
 		b64, err := imageFileToBase64(ch.PortraitPath)
 		if err != nil {
+			fmt.Printf("buildRefIndex 警告: 无法读取演员[%s]的形象图片: %v (path=%s)\n", ch.Name, err, ch.PortraitPath)
 			continue
 		}
+
 		if existing, ok := charIdx[ch.Name]; ok {
 			return fmt.Errorf("演员名冲突: '%s' (已有形象路径 %s，重复 %s)", ch.Name, existing, ch.PortraitPath)
 		}
@@ -106,6 +108,7 @@ func (c *GenerationContext) buildRefIndex() error {
 		}
 		b64, err := imageFileToBase64(sc.ImagePath)
 		if err != nil {
+			fmt.Printf("buildRefIndex 警告: 无法读取场景[%s]的图片: %v (path=%s)\n", sc.Name, err, sc.ImagePath)
 			continue
 		}
 		if _, ok := sceneIdx[sc.Name]; ok {
@@ -125,6 +128,7 @@ func (c *GenerationContext) buildRefIndex() error {
 		}
 		b64, err := imageFileToBase64(p.ImagePath)
 		if err != nil {
+			fmt.Printf("buildRefIndex 警告: 无法读取道具[%s]的图片: %v (path=%s)\n", p.Name, err, p.ImagePath)
 			continue
 		}
 		if _, ok := propIdx[p.Name]; ok {