WeKnora deployment source with the reviewed wiki identity, summary and recovery fixes
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This commit is contained in:
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# OpenMAIC API Reference
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OpenMAIC 服务 API 接口规范。所有 API 基础路径为 `{base_url}/api`,默认 `http://localhost:3000/api`。
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## 认证机制
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- 如果 OpenMAIC 未设置 `ACCESS_CODE` 环境变量:所有接口开放
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- 如果设置了 `ACCESS_CODE`:需先通过 `/api/access-code/verify` 获取 cookie
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- `/api/health` 始终无需认证
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### 获取认证 Cookie
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```
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POST {base_url}/api/access-code/verify
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Content-Type: application/json
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{ "code": "<ACCESS_CODE>" }
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```
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成功返回 `{ "success": true, "valid": true }` 并设置 `openmaic_access` cookie(7 天有效)。
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## 标准响应格式
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**成功**:
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```json
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{ "success": true, ...additionalFields }
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```
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**错误**:
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```json
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{ "success": false, "errorCode": "<Code>", "error": "<message>", "details?": "<detail>" }
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```
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---
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## 核心端点
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### 1. 健康检查
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```
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GET {base_url}/api/health
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```
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响应:
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```json
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{
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"success": true,
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"status": "ok",
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"version": "0.1.0",
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"capabilities": {
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"webSearch": true,
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"imageGeneration": false,
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"videoGeneration": false,
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"tts": true
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}
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}
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```
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> `capabilities` 用于功能检测,只在返回此字段时才启用对应的可选功能。
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---
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### 2. 生成课程(异步任务)
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#### 2a. 创建生成任务
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```
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POST {base_url}/api/generate-classroom
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Content-Type: application/json
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```
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请求体:
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```json
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{
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"requirement": "教学主题描述",
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"pdfContent": { "text": "PDF文本内容", "images": [] },
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"enableWebSearch": false,
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"enableImageGeneration": false,
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"enableVideoGeneration": false,
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"enableTTS": false,
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"agentMode": "default"
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}
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```
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成功响应 (202):
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```json
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{
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"success": true,
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"jobId": "abc123xyz",
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"status": "queued",
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"step": "queued",
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"message": "Classroom generation job queued",
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"pollUrl": "{base_url}/api/generate-classroom/abc123xyz",
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"pollIntervalMs": 5000
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}
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```
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错误:
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- `400`: `requirement` 字段缺失
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- `500`: 内部错误
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#### 2b. 轮询任务状态
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```
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GET {pollUrl}
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```
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响应:
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```json
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{
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"success": true,
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"jobId": "abc123xyz",
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"status": "running",
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"step": "generating_outlines",
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"progress": 35,
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"message": "Generating scene outlines...",
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"pollUrl": "...",
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"pollIntervalMs": 5000,
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"scenesGenerated": 2,
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"totalScenes": 6,
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"result": null,
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"error": null,
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"done": false
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}
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```
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最终成功响应:
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```json
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{
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"success": true,
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"status": "succeeded",
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"result": {
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"classroomId": "Uyh82Y32ZK",
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"url": "{base_url}/classroom/Uyh82Y32ZK",
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"scenesCount": 6
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},
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"done": true
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}
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```
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最终失败响应:
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```json
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{
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"success": true,
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"status": "failed",
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"error": "具体错误信息",
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"done": true
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}
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```
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---
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### 3. 解析 PDF
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```
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POST {base_url}/api/parse-pdf
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Content-Type: multipart/form-data
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```
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表单字段:
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- `pdf`(文件,必填): PDF 文件
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- `providerId`(可选): PDF 提供商,默认 `"unpdf"`
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- `apiKey`(可选): 提供商 API Key
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- `baseUrl`(可选): 提供商基础 URL
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响应:
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```json
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{
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"success": true,
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"data": {
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"text": "提取的文本内容",
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"images": [],
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"metadata": {
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"pageCount": 10,
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"fileName": "document.pdf",
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"fileSize": 1024000
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}
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}
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}
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```
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---
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### 4. 课程存储
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#### 4a. 获取课程
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```
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GET {base_url}/api/classroom?id=<classroomId>
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```
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#### 4b. 持久化课程
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```
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POST {base_url}/api/classroom
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Content-Type: application/json
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{ "stage": {...}, "scenes": [...] }
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```
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---
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### 5. Web 搜索
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```
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POST {base_url}/api/web-search
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Content-Type: application/json
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{ "query": "搜索关键词", "pdfText": "PDF上下文", "apiKey": "Tavily Key" }
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```
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---
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### 6. 验证 LLM 连接
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```
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POST {base_url}/api/verify-model
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Content-Type: application/json
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{ "model": "openai:gpt-4o", "apiKey": "...", "baseUrl": "..." }
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```
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---
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## 生成管线(逐步调用)
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如果需要更细粒度的控制,可以使用以下逐步生成端点代替 `/api/generate-classroom`:
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### A. 生成场景大纲(SSE 流)
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```
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POST {base_url}/api/generate/scene-outlines-stream
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```
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请求体:
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```json
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{
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"requirements": { "requirement": "主题", "userNickname": "用户昵称" },
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"pdfText": "PDF文本",
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"pdfImages": [],
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"researchContext": "网络搜索结果",
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"agents": []
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}
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```
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Headers:
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- `x-image-generation-enabled`: `"true"` 或 `"false"`
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- `x-video-generation-enabled`: `"true"` 或 `"false"`
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SSE 事件类型:`languageDirective`、`outline`、`done`、`error`、`retry`
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### B. 生成场景内容
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```
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POST {base_url}/api/generate/scene-content
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Content-Type: application/json
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{
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"outline": {...},
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"allOutlines": [...],
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"stageId": "stage-1",
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"pdfImages": [],
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"agents": [],
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"languageDirective": "使用简体中文"
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}
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```
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### C. 生成场景动作
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```
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POST {base_url}/api/generate/scene-actions
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Content-Type: application/json
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{
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"outline": {...},
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"allOutlines": [...],
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"content": {...},
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"stageId": "stage-1",
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"agents": [],
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"languageDirective": "使用简体中文"
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}
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```
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### D. 生成 Agent 画像
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```
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POST {base_url}/api/generate/agent-profiles
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Content-Type: application/json
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{
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"stageInfo": { "name": "入门阶段", "description": "..." },
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"sceneOutlines": [{ "title": "...", "description": "..." }],
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"languageDirective": "使用简体中文",
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"availableAvatars": [],
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"avatarDescriptions": []
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}
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```
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