- runtime-internal.service: resolveSnapshot 自动重建、persistResult 5种jobType持久化、validateOutput 校验、convertQuizCandidates/convertFlashcardCandidates 候选转换、notifyJobComplete 通知、JOB_CANCELLED处理、heartbeat 双阶段更新+取消检测 - user-ai.service: createAnalysisJob 11步流程、cancelJob、publishQuiz/publishFlashcard、getAnalysis/listAnalyses等 - user-ai.controller: 20+ 用户API端点 - 新增服务: SnapshotBuilderService、PriorityRulesService、SnapshotCleanupService、JobReaperService - 新增模块: admin-learning (CRUD管理) - Prisma schema: cancelRequestedAt/cancelledAt/sourceBlockIds 字段、expiresAt 索引 - 文档: ai-runtime-user-api.md、Issue 记录 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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AI Runtime 用户 API 接入文档
概述
本文档描述 AI Runtime 对外暴露的用户面 REST API。所有端点均需 Bearer Token 认证(Authorization: Bearer <token>),用户只能操作自己的资源。
Base URL: /ai
1. Job 管理
1.1 创建分析 Job
POST /ai/jobs
Request Body:
{
"jobType": "learning_state_analysis | weak_point_analysis | next_action_planning | quiz_generation | flashcard_generation",
"targetType": "user | material | knowledge_base",
"targetId": "string",
"idempotencyKey": "string (optional)",
"apiKeyMode": "platform_key | user_deepseek_key (optional, default from settings)",
"credentialId": "string (optional, required for user_deepseek_key)",
"questionCount": 5,
"difficultyLevel": "easy | medium | hard",
"questionTypes": ["choice", "judge"],
"cardCount": 5,
"knowledgePointIds": ["kp1", "kp2"]
}
Response 201:
{ "jobId": "clx...", "status": "pending", "createdAt": "2026-...", "planId": "clx... (quiz/flashcard only)" }
Error Codes: AI_ANALYSIS_DISABLED, INVALID_JOB_TYPE, INVALID_TARGET_TYPE, CREDENTIAL_REQUIRED, CREDENTIAL_NOT_FOUND
1.2 查询 Job 列表
GET /ai/jobs?status=pending&take=20
Response 200:
[
{ "id": "clx...", "jobType": "learning_state_analysis", "targetType": "material", "targetId": "m1",
"status": "pending", "priority": 50, "errorCode": null, "cancelRequestedAt": null,
"startedAt": null, "finishedAt": null, "createdAt": "2026-..." }
]
1.3 查询单个 Job
GET /ai/jobs/:jobId
Response 200:
{
"id": "clx...", "jobType": "...", "targetType": "...", "targetId": "...",
"status": "succeeded", "priority": 50, "snapshotId": "snap-...",
"attemptNo": 0, "retryCount": 0, "maxRetryCount": 3,
"errorCode": null, "errorMessage": null,
"cancelRequestedAt": null, "cancelledAt": null,
"startedAt": "2026-...", "finishedAt": "2026-...",
"createdAt": "2026-...", "updatedAt": "2026-..."
}
1.4 取消 Job
POST /ai/jobs/:jobId/cancel
Response 200: { "jobId": "clx...", "status": "cancelled | cancel_requested" }
Error Codes: JOB_NOT_FOUND, JOB_CANNOT_CANCEL
2. 分析结果查询
2.1 查询分析列表
GET /ai/analyses?targetType=material&targetId=m1&take=20
Response 200:
[
{ "id": "clx...", "targetType": "material", "targetId": "m1",
"learningState": "mastered", "riskLevel": "low", "confidence": 0.85,
"summary": "...", "createdAt": "2026-..." }
]
2.2 查询单个分析
GET /ai/analyses/:id
Response 200:
{
"id": "clx...", "userId": "...", "jobId": "...", "snapshotId": "...",
"targetType": "material", "targetId": "m1",
"learningState": "mastered", "summary": "...", "riskLevel": "low",
"confidence": 0.85, "evidence": ["fact1", "fact2"],
"nextActionIds": ["..."],
"promptVersion": "learning_state_v1", "schemaVersion": "analysis_output_v1",
"createdAt": "2026-...", "updatedAt": "2026-..."
}
2.3 触发重新分析
POST /ai/reanalyze
Request Body: { "targetType": "material", "targetId": "m1" }
Response 201: { "jobId": "clx...", "status": "pending", "createdAt": "2026-..." }
3. 建议 / 弱项查询
3.1 查询建议列表
GET /ai/recommendations?targetType=material&targetId=m1&status=active&take=20
Response 200:
[
{ "id": "clx...", "actionType": "review", "targetType": "material", "targetId": "m1",
"title": "...", "reason": "...", "priority": 10, "estimatedMinutes": 15,
"deviceSuitability": "phone", "status": "active", "createdAt": "2026-..." }
]
3.2 查询弱项列表
GET /ai/weak-points?targetType=material&targetId=m1&status=active&take=20
Response 200:
[
{ "id": "clx...", "knowledgePointId": "kp1", "title": "Grammar: Tense",
"reason": "...", "confidence": 0.9, "evidence": ["..."],
"status": "active", "targetType": "material", "targetId": "m1", "createdAt": "2026-..." }
]
4. 题目查询
4.1 查询题目列表
GET /ai/quizzes?knowledgeBaseId=kb1&status=active&take=20
Response 200:
[
{ "id": "clx...", "knowledgeBaseId": "kb1", "title": "...", "questionCount": 10,
"sourceType": "ai", "status": "active", "createdAt": "2026-..." }
]
4.2 查询单个 Quiz
GET /ai/quizzes/:quizId
Response 200:
{
"id": "clx...", "knowledgeBaseId": "kb1", "title": "...", "description": "...",
"questionCount": 10, "sourceType": "ai", "sourceId": "job-...",
"status": "active", "createdAt": "2026-...", "updatedAt": "2026-..."
}
4.3 查询 Quiz 题目详情
GET /ai/quizzes/:quizId/questions
Response 200:
[
{ "id": "clx...", "type": "choice", "stem": "...", "options": ["A", "B", "C", "D"],
"answer": "A", "explanation": "...", "sourceBlockIds": ["..."], "orderIndex": 0 }
]
4.4 发布 Quiz (draft → active)
POST /ai/quizzes/:quizId/publish
Response 200: { "quizId": "clx...", "status": "active" }
Error Codes: QUIZ_NOT_FOUND, QUIZ_NOT_READY
5. 卡片查询
5.1 查询卡片列表
GET /ai/flashcards?knowledgePointId=kp1&status=active&take=20
Response 200:
[
{ "id": "clx...", "front": "...", "back": "...", "hint": "...",
"difficultyLevel": "medium", "knowledgePointId": "kp1",
"sourceType": "ai", "status": "active", "createdAt": "2026-..." }
]
5.2 查询单个卡片
GET /ai/flashcards/:cardId
Response 200:
{
"id": "clx...", "front": "...", "back": "...", "hint": "...",
"difficultyLevel": "medium", "knowledgePointId": "kp1",
"sourceBlockIds": ["..."],
"sourceType": "ai", "sourceId": "job-...", "generatedByJobId": "job-...",
"status": "active", "createdAt": "2026-...", "updatedAt": "2026-..."
}
5.3 发布卡片 (draft → active)
POST /ai/flashcards/:cardId/publish
Response 200: { "cardId": "clx...", "status": "active" }
Error Codes: FLASHCARD_NOT_FOUND, FLASHCARD_NOT_DRAFT
6. 反馈
6.1 通用反馈
POST /ai/feedback
Request Body: { "category": "bug|feature|ux|other", "content": "...", "email": "optional", "deviceInfo": {} }
Response 201: { "id": "clx...", "status": "open", "createdAt": "2026-..." }
6.2 AI 产出物反馈
POST /ai/artifacts/:type/:id/feedback
Path Params: type = analysis | quiz | flashcard
Request Body: { "feedbackType": "correct|incorrect|helpful|not_helpful|...", "reason": "optional" }
Response 201: { "id": "clx...", "feedbackType": "correct", "createdAt": "2026-..." }
Error Codes: ARTIFACT_NOT_FOUND
错误码汇总
| 错误码 | HTTP Status | 说明 |
|---|---|---|
AI_ANALYSIS_DISABLED |
400 | 用户关闭了 AI 分析 |
INVALID_JOB_TYPE |
400 | 不支持的 jobType |
INVALID_TARGET_TYPE |
400 | targetType 不匹配 jobType 要求 |
CREDENTIAL_REQUIRED |
400 | user_deepseek_key 模式需提供 credentialId |
CREDENTIAL_NOT_FOUND |
404 | 凭证不存在或未激活 |
JOB_NOT_FOUND |
404 | Job 不存在或不属于用户 |
JOB_CANNOT_CANCEL |
400 | Job 已处于终态,无法取消 |
QUIZ_NOT_FOUND |
404 | Quiz 不存在或不属于用户 |
QUIZ_NOT_READY |
400 | Quiz 非 ready 状态,无法发布 |
FLASHCARD_NOT_FOUND |
404 | 卡片不存在或不属于用户 |
FLASHCARD_NOT_DRAFT |
400 | 卡片非 draft 状态,无法发布 |
ANALYSIS_NOT_FOUND |
404 | 分析结果不存在 |
ARTIFACT_NOT_FOUND |
404 | 产出物不存在或不属于用户 |
认证
所有端点使用 Authorization: Bearer <JWT> 认证,用户身份从 JWT payload 提取。内部端点(/internal/runtime/*)使用 Service Token 认证,不对外暴露。