1c7171b2c6
Refs #890 #1049 #1168. 按集成方视角全量审计 17 个 API markdown 文档与 internal/router/router.go 对齐。每个端点新增参数说明小节(path/query/body 字段含义)和响应字段 含义说明(#1168 的核心诉求)。 【与代码对齐】 - 删除已下线端点:system.md 中的 /system/minio/buckets(代码中已无对 应路由)。 - 修正路径错误:chunk.md 中 /chunks/get-by-id/:id → /chunks/by-id/:id; /chunks/:id/delete-question → /chunks/by-id/:id/questions; organization.md 中 /organizations/preview/:invite_code → :code。 - 修正字段类型:faq tag_id / entry_id 由 string 改为 int64; knowledge.search 响应结构纠正。 - 补齐缺失端点(move-targets、batch-delete、move/progress、pin/unpin/ stop/continue-stream、tool-approvals、organization agent-shares 等 30+ 条)。 【精简】 - knowledge-base.md / model.md 把重复 5 次 / 3 次的完整对象样例 收敛为指向首次出现("字段结构同 POST /xxx 响应"),节省约 400 行 而不损失信息(仅去重,原作者写的每个字段定义都保留可达)。 - 示例 X-API-Key 统一为 sk-xxxxx(避免读者复制看似真实的 key)。 【清理】 - 删除内部实现细节引用:mcp-service.md 中 6 处 "issue #1173"、 organization.md 中 "RegisterOrganizationRoutes" 等。 不动 initialization.md:其中端点(KB 配置、模型连通性测试、Ollama 管理) 对集成方有实用价值,保留原作者写好的内容不删。 格式统一遵循 web-search.md 重写后的范式(路由表 + 每端点方法/路径 + 参数表 + curl + 响应 JSON + 字段说明)。
582 lines
22 KiB
Markdown
582 lines
22 KiB
Markdown
# 知识库管理 API
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[返回目录](./README.md)
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**字段说明(知识库对象)**
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- 知识库类型 `type` 为 `document`(文档)或 `faq`(FAQ),默认 `document`。
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- JSON 中对象存储相关字段:**`storage_config`** 为序列化字段名(对应数据库列 `cos_config`,兼容旧数据)。旧客户端若仍发送或接收 `cos_config`,服务端会兼容解析;新集成请使用 **`storage_config`**。
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- **`storage_provider_config`** 为新版存储提供者选择(如 `{"provider": "local"}`),与租户级存储引擎凭证配合使用;无配置时可为 `null`。
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- 嵌套配置对象:`chunking_config`、`image_processing_config`、`vlm_config`、`asr_config`、`extract_config`、`faq_config`、`question_generation_config`。其中 `extract_config`、`faq_config`、`question_generation_config` 允许为 `null`。
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| 方法 | 路径 | 描述 |
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| ------ | ----------------------------------------- | ------------------------ |
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| POST | `/knowledge-bases` | 创建知识库 |
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| GET | `/knowledge-bases` | 获取知识库列表 |
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| GET | `/knowledge-bases/:id` | 获取知识库详情 |
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| PUT | `/knowledge-bases/:id` | 更新知识库 |
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| DELETE | `/knowledge-bases/:id` | 删除知识库 |
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| PUT | `/knowledge-bases/:id/pin` | 置顶/取消置顶知识库 |
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| GET | `/knowledge-bases/:id/hybrid-search` | 混合搜索(向量+关键词) |
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| POST | `/knowledge-bases/copy` | 拷贝知识库(异步任务) |
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| GET | `/knowledge-bases/copy/progress/:task_id` | 获取拷贝进度 |
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| GET | `/knowledge-bases/:id/move-targets` | 获取可迁移目标知识库列表 |
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## POST `/knowledge-bases` - 创建知识库
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**参数说明(请求体)**:
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| 字段 | 类型 | 必填 | 说明 |
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| ----------------------------- | ------- | ---- | --------------------------------------------------------------- |
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| name | string | 是 | 知识库名称 |
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| description | string | 否 | 知识库描述 |
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| type | string | 否 | 知识库类型:`document`(默认)或 `faq` |
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| is_temporary | boolean | 否 | 是否为临时知识库(默认 `false`,临时库通常不在 UI 列表中显示) |
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| chunking_config | object | 否 | 分块配置(见下方示例) |
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| image_processing_config | object | 否 | 图片处理配置 |
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| embedding_model_id | string | 否 | Embedding 模型 ID |
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| summary_model_id | string | 否 | 摘要模型 ID |
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| vlm_config | object | 否 | VLM(视觉模型)配置 |
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| asr_config | object | 否 | ASR(语音识别)配置 |
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| storage_provider_config | object | 否 | 存储提供者选择,如 `{"provider": "local"}` |
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| storage_config | object | 否 | 旧版 COS 存储凭证(兼容字段,新集成留空即可) |
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| extract_config | object | 否 | 图谱抽取配置;`enabled=true` 时需提供 `text`/`tags`/`nodes`/`relations` |
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| faq_config | object | 否 | FAQ 配置(仅 FAQ 类型知识库需要) |
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| question_generation_config | object | 否 | 问题生成配置 |
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**请求**:
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```curl
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curl --location 'http://localhost:8080/api/v1/knowledge-bases' \
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--header 'Content-Type: application/json' \
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--header 'X-API-Key: sk-xxxxx' \
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--data '{
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"name": "weknora",
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"description": "weknora description",
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"type": "document",
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"is_temporary": false,
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"chunking_config": {
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"chunk_size": 1000,
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"chunk_overlap": 200,
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"separators": [
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"."
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],
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"enable_multimodal": true,
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"parser_engine_rules": [
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{
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"file_types": [".pdf", ".docx"],
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"engine": "builtin"
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}
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],
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"enable_parent_child": false,
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"parent_chunk_size": 4096,
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"child_chunk_size": 384
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},
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"image_processing_config": {
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"model_id": "f2083ad7-63e3-486d-a610-e6c56e58d72e"
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},
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"embedding_model_id": "dff7bc94-7885-4dd1-bfd5-bd96e4df2fc3",
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"summary_model_id": "8aea788c-bb30-4898-809e-e40c14ffb48c",
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"vlm_config": {
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"enabled": true,
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"model_id": "f2083ad7-63e3-486d-a610-e6c56e58d72e"
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},
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"asr_config": {
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"enabled": false,
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"model_id": "",
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"language": ""
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},
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"storage_provider_config": {
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"provider": "local"
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},
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"storage_config": {
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"secret_id": "",
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"secret_key": "",
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"region": "",
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"bucket_name": "",
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"app_id": "",
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"path_prefix": ""
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},
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"extract_config": null,
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"faq_config": null,
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"question_generation_config": {
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"enabled": false,
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"question_count": 3
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}
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}'
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```
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**响应**:
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```json
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{
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"data": {
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"id": "b5829e4a-3845-4624-a7fb-ea3b35e843b0",
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"name": "weknora",
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"description": "weknora description",
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"type": "document",
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"is_temporary": false,
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"tenant_id": 1,
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"chunking_config": {
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"chunk_size": 1000,
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"chunk_overlap": 200,
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"separators": [
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"."
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],
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"enable_multimodal": true,
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"parser_engine_rules": [
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{
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"file_types": [".pdf", ".docx"],
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"engine": "builtin"
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}
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],
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"enable_parent_child": false,
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"parent_chunk_size": 4096,
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"child_chunk_size": 384
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},
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"image_processing_config": {
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"model_id": "f2083ad7-63e3-486d-a610-e6c56e58d72e"
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},
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"embedding_model_id": "dff7bc94-7885-4dd1-bfd5-bd96e4df2fc3",
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"summary_model_id": "8aea788c-bb30-4898-809e-e40c14ffb48c",
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"vlm_config": {
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"enabled": true,
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"model_id": "f2083ad7-63e3-486d-a610-e6c56e58d72e"
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},
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"asr_config": {
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"enabled": false,
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"model_id": "",
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"language": ""
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},
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"storage_provider_config": {
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"provider": "local"
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},
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"storage_config": {
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"secret_id": "",
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"secret_key": "",
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"region": "",
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"bucket_name": "",
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"app_id": "",
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"path_prefix": ""
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},
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"extract_config": null,
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"faq_config": null,
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"question_generation_config": {
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"enabled": false,
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"question_count": 3
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},
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"is_pinned": false,
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"pinned_at": null,
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"knowledge_count": 0,
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"chunk_count": 0,
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"processing_count": 0,
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"created_at": "2025-08-12T11:30:09.206238645+08:00",
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"updated_at": "2025-08-12T11:30:09.206238854+08:00",
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"deleted_at": null
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},
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"success": true
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}
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```
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## GET `/knowledge-bases` - 获取知识库列表
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返回当前租户拥有的全部知识库。当传入 `agent_id` 时,校验调用者对该共享智能体的访问权限后,返回该智能体配置可见的知识库范围(用于 `@` 提及)。
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**Query 参数**:
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| 字段 | 类型 | 必填 | 说明 |
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| -------- | ------ | ---- | ---------------------------------------------------------- |
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| agent_id | string | 否 | 共享智能体 ID;传入时按智能体配置(`all` / `selected` / `none`)过滤可见知识库 |
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**请求**:
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```curl
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curl --location 'http://localhost:8080/api/v1/knowledge-bases' \
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--header 'Content-Type: application/json' \
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--header 'X-API-Key: sk-xxxxx'
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```
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**响应**: `data` 为数组,每个元素的字段结构同 `POST /knowledge-bases` 响应,并额外携带 `knowledge_count` / `chunk_count` / `processing_count` / `share_count` / `is_pinned` / `pinned_at` 这些聚合与状态字段。
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## GET `/knowledge-bases/:id` - 获取知识库详情
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根据 ID 获取知识库详情。当通过共享智能体访问时,可传 `agent_id` 进行权限校验;此时返回对象会附加 `my_permission` 字段以指示当前用户对该知识库的角色(如 `viewer`)。
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**路径参数**:
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| 字段 | 类型 | 说明 |
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| ---- | ------ | --------- |
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| id | string | 知识库 ID |
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**Query 参数**:
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| 字段 | 类型 | 必填 | 说明 |
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| -------- | ------ | ---- | ------------------------------------------ |
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| agent_id | string | 否 | 共享智能体 ID(用于校验该智能体是否有权访问) |
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**请求**:
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```curl
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curl --location 'http://localhost:8080/api/v1/knowledge-bases/kb-00000001' \
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--header 'Content-Type: application/json' \
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--header 'X-API-Key: sk-xxxxx'
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```
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**响应**: 字段结构同 `POST /knowledge-bases` 响应,并附 `is_pinned` / `pinned_at` / `knowledge_count` / `chunk_count` / `processing_count` 状态字段。通过共享智能体访问时还会附加 `my_permission`。
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## PUT `/knowledge-bases/:id` - 更新知识库
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仅知识库 owner(admin)或具备 `editor` 权限的用户可调用。注意:**`vector_store_id` 在创建后不可修改**,更新接口不接收该字段。
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**路径参数**:
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| 字段 | 类型 | 说明 |
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| ---- | ------ | --------- |
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| id | string | 知识库 ID |
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**参数说明(请求体)**:
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| 字段 | 类型 | 必填 | 说明 |
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| ----------- | ------ | ---- | ------------------------------------------------------------- |
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| name | string | 是 | 知识库名称 |
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| description | string | 否 | 知识库描述 |
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| config | object | 否 | 更新配置;包含 `chunking_config` / `image_processing_config` / `faq_config` / `wiki_config` / `indexing_strategy` |
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**请求**:
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```curl
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curl --location --request PUT 'http://localhost:8080/api/v1/knowledge-bases/b5829e4a-3845-4624-a7fb-ea3b35e843b0' \
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--header 'Content-Type: application/json' \
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--header 'X-API-Key: sk-xxxxx' \
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--data '{
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"name": "weknora new",
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"description": "weknora description new",
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"config": {
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"chunking_config": {
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"chunk_size": 1000,
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"chunk_overlap": 200,
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"separators": [
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"\n\n",
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"\n",
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"。",
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"!",
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"?",
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";",
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";"
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],
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"enable_multimodal": true,
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"parser_engine_rules": [
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{
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"file_types": [".md", ".txt"],
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"engine": "builtin"
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}
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],
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"enable_parent_child": true,
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"parent_chunk_size": 4096,
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"child_chunk_size": 384
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},
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"image_processing_config": {
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"model_id": ""
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}
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}
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}'
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```
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**响应**: 字段结构同 `POST /knowledge-bases` 响应(返回更新后的完整知识库对象)。
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## DELETE `/knowledge-bases/:id` - 删除知识库
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仅知识库 owner(与 owning tenant 匹配的 admin)可调用,删除将级联清理知识库下所有知识与切片。
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**路径参数**:
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| 字段 | 类型 | 说明 |
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| ---- | ------ | --------- |
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| id | string | 知识库 ID |
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**请求**:
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```curl
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curl --location --request DELETE 'http://localhost:8080/api/v1/knowledge-bases/b5829e4a-3845-4624-a7fb-ea3b35e843b0' \
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--header 'Content-Type: application/json' \
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--header 'X-API-Key: sk-xxxxx'
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```
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**响应**:
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```json
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{
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"message": "Knowledge base deleted successfully",
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"success": true
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}
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```
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## PUT `/knowledge-bases/:id/pin` - 置顶/取消置顶知识库
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切换知识库的置顶状态。无需请求体,每次调用会自动反转当前 `is_pinned`。置顶时会同步写入 `pinned_at` 时间戳。
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**路径参数**:
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| 字段 | 类型 | 说明 |
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| ---- | ------ | --------- |
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| id | string | 知识库 ID |
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**请求**:
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```curl
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curl --location --request PUT 'http://localhost:8080/api/v1/knowledge-bases/kb-00000001/pin' \
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--header 'X-API-Key: sk-xxxxx' \
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--header 'Content-Type: application/json'
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```
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**响应**: 字段结构同 `POST /knowledge-bases` 响应,本接口操作后 `is_pinned` 翻转、`pinned_at` 同步更新。
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## GET `/knowledge-bases/:id/hybrid-search` - 混合搜索
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在指定知识库内执行向量召回 + 关键词召回的混合检索。
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**注意**:此接口使用 `GET` 方法但 **需要 JSON 请求体**(`SearchParams`),并非通过 query string 传参。
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**路径参数**:
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||
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| 字段 | 类型 | 说明 |
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| ---- | ------ | --------- |
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| id | string | 知识库 ID |
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||
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**参数说明(请求体)**:
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||
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| 字段 | 类型 | 必填 | 说明 |
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| ------------------------ | -------- | ---- | ---------------------------------------------------------------- |
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| query_text | string | 是 | 查询文本 |
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| vector_threshold | number | 否 | 向量相似度阈值(0-1) |
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| keyword_threshold | number | 否 | 关键词匹配阈值 |
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| match_count | integer | 否 | 返回结果数量上限 |
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| disable_keywords_match | boolean | 否 | 关闭关键词召回 |
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||
| disable_vector_match | boolean | 否 | 关闭向量召回 |
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| knowledge_ids | string[] | 否 | 仅在指定的知识 ID 范围内召回 |
|
||
| tag_ids | string[] | 否 | 标签过滤(FAQ 类型常用于优先级过滤) |
|
||
| only_recommended | boolean | 否 | 仅返回标记为推荐的内容 |
|
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| knowledge_base_ids | string[] | 否 | 跨知识库召回(需共享相同 embedding 模型),优先级高于路径中的 `:id` |
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||
| skip_context_enrichment | boolean | 否 | 跳过父子片段/相邻片段的上下文补全(chat 流程使用) |
|
||
|
||
**请求**:
|
||
|
||
```curl
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||
curl --location --request GET 'http://localhost:8080/api/v1/knowledge-bases/kb-00000001/hybrid-search' \
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--header 'X-API-Key: sk-xxxxx' \
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--header 'Content-Type: application/json' \
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||
--data '{
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||
"query_text": "如何使用知识库",
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"vector_threshold": 0.5,
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"match_count": 10
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}'
|
||
```
|
||
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||
**响应**:
|
||
|
||
```json
|
||
{
|
||
"data": [
|
||
{
|
||
"id": "chunk-00000001",
|
||
"content": "知识库是用于存储和检索知识的系统...",
|
||
"knowledge_id": "knowledge-00000001",
|
||
"chunk_index": 0,
|
||
"knowledge_title": "知识库使用指南",
|
||
"start_at": 0,
|
||
"end_at": 500,
|
||
"seq": 1,
|
||
"score": 0.95,
|
||
"chunk_type": "text",
|
||
"image_info": "",
|
||
"metadata": {},
|
||
"knowledge_filename": "guide.pdf",
|
||
"knowledge_source": "file"
|
||
}
|
||
],
|
||
"success": true
|
||
}
|
||
```
|
||
|
||
## POST `/knowledge-bases/copy` - 拷贝知识库
|
||
|
||
异步拷贝整个知识库(配置 + 全部知识内容)。请求会被入队到 Asynq 后台任务(队列 `default`,最多重试 3 次),并立即返回 `task_id` 供轮询进度。
|
||
|
||
**约束**:源知识库 `source_id` 必须属于调用者所在租户;若指定 `target_id`,目标知识库同样必须属于调用者租户,否则返回 `403 Forbidden`。
|
||
|
||
**参数说明(请求体)**:
|
||
|
||
| 字段 | 类型 | 必填 | 说明 |
|
||
| ---------- | ------ | ---- | ------------------------------------------------------------- |
|
||
| source_id | string | 是 | 源知识库 ID(必须属于当前租户) |
|
||
| target_id | string | 否 | 目标知识库 ID(若复用已存在知识库;同样必须属于当前租户) |
|
||
| task_id | string | 否 | 自定义任务 ID;不传则由服务端生成(基于租户、源 ID、时间戳) |
|
||
|
||
**请求**:
|
||
|
||
```curl
|
||
curl --location 'http://localhost:8080/api/v1/knowledge-bases/copy' \
|
||
--header 'X-API-Key: sk-xxxxx' \
|
||
--header 'Content-Type: application/json' \
|
||
--data '{
|
||
"source_id": "kb-00000001"
|
||
}'
|
||
```
|
||
|
||
**响应**:
|
||
|
||
```json
|
||
{
|
||
"data": {
|
||
"task_id": "kb_clone_1_kb-00000001_1736582400",
|
||
"source_id": "kb-00000001",
|
||
"target_id": "",
|
||
"message": "Knowledge base copy task started"
|
||
},
|
||
"success": true
|
||
}
|
||
```
|
||
|
||
## GET `/knowledge-bases/copy/progress/:task_id` - 获取拷贝进度
|
||
|
||
查询拷贝任务的当前状态与进度(数据由 worker 写入 Redis)。
|
||
|
||
**路径参数**:
|
||
|
||
| 字段 | 类型 | 说明 |
|
||
| ------- | ------ | ------------------------------------------------- |
|
||
| task_id | string | 由 `POST /knowledge-bases/copy` 返回的任务 ID |
|
||
|
||
**响应字段(`data`)**:
|
||
|
||
| 字段 | 类型 | 说明 |
|
||
| ---------- | ------- | ------------------------------------------------------------ |
|
||
| task_id | string | 任务 ID |
|
||
| source_id | string | 源知识库 ID |
|
||
| target_id | string | 目标知识库 ID(任务开始后填入) |
|
||
| status | string | `pending` / `processing` / `completed` / `failed` |
|
||
| progress | integer | 进度百分比 0–100 |
|
||
| total | integer | 计划拷贝的知识总数 |
|
||
| processed | integer | 已处理的知识数 |
|
||
| message | string | 当前状态描述 |
|
||
| error | string | 失败时的错误信息 |
|
||
| created_at | integer | 任务创建时间(Unix 秒) |
|
||
| updated_at | integer | 最后更新时间(Unix 秒) |
|
||
|
||
**请求**:
|
||
|
||
```curl
|
||
curl --location 'http://localhost:8080/api/v1/knowledge-bases/copy/progress/kb_clone_1_kb-00000001_1736582400' \
|
||
--header 'X-API-Key: sk-xxxxx' \
|
||
--header 'Content-Type: application/json'
|
||
```
|
||
|
||
**响应**:
|
||
|
||
```json
|
||
{
|
||
"data": {
|
||
"task_id": "kb_clone_1_kb-00000001_1736582400",
|
||
"source_id": "kb-00000001",
|
||
"target_id": "kb-00000002",
|
||
"status": "completed",
|
||
"progress": 100,
|
||
"total": 10,
|
||
"processed": 10,
|
||
"message": "Task completed successfully",
|
||
"error": "",
|
||
"created_at": 1736582400,
|
||
"updated_at": 1736582460
|
||
},
|
||
"success": true
|
||
}
|
||
```
|
||
|
||
## GET `/knowledge-bases/:id/move-targets` - 获取可迁移目标知识库列表
|
||
|
||
返回当前知识库的内容**可以迁移到**的目标知识库列表。筛选规则:
|
||
|
||
- 与源知识库 `type` 相同
|
||
- 与源知识库 `embedding_model_id` 相同
|
||
- 非临时知识库(`is_temporary = false`)
|
||
- 不包含源知识库自身
|
||
- 仅同租户的知识库
|
||
|
||
**路径参数**:
|
||
|
||
| 字段 | 类型 | 说明 |
|
||
| ---- | ------ | ------------- |
|
||
| id | string | 源知识库 ID |
|
||
|
||
**请求**:
|
||
|
||
```curl
|
||
curl --location 'http://localhost:8080/api/v1/knowledge-bases/kb-00000001/move-targets' \
|
||
--header 'X-API-Key: sk-xxxxx' \
|
||
--header 'Content-Type: application/json'
|
||
```
|
||
|
||
**响应**:
|
||
|
||
```json
|
||
{
|
||
"data": [
|
||
{
|
||
"id": "kb-00000002",
|
||
"name": "技术文档知识库",
|
||
"description": "技术文档相关知识",
|
||
"type": "document",
|
||
"is_temporary": false,
|
||
"tenant_id": 1,
|
||
"chunking_config": {
|
||
"chunk_size": 1000,
|
||
"chunk_overlap": 200,
|
||
"separators": ["\n\n", "\n"],
|
||
"enable_multimodal": true,
|
||
"parser_engine_rules": [],
|
||
"enable_parent_child": false,
|
||
"parent_chunk_size": 4096,
|
||
"child_chunk_size": 384
|
||
},
|
||
"image_processing_config": {
|
||
"model_id": ""
|
||
},
|
||
"embedding_model_id": "dff7bc94-7885-4dd1-bfd5-bd96e4df2fc3",
|
||
"summary_model_id": "8aea788c-bb30-4898-809e-e40c14ffb48c",
|
||
"vlm_config": {
|
||
"enabled": false,
|
||
"model_id": ""
|
||
},
|
||
"asr_config": {
|
||
"enabled": false,
|
||
"model_id": "",
|
||
"language": ""
|
||
},
|
||
"storage_provider_config": {
|
||
"provider": "local"
|
||
},
|
||
"storage_config": {
|
||
"secret_id": "",
|
||
"secret_key": "",
|
||
"region": "",
|
||
"bucket_name": "",
|
||
"app_id": "",
|
||
"path_prefix": ""
|
||
},
|
||
"extract_config": null,
|
||
"faq_config": null,
|
||
"question_generation_config": null,
|
||
"is_pinned": false,
|
||
"pinned_at": null,
|
||
"knowledge_count": 8,
|
||
"chunk_count": 210,
|
||
"processing_count": 0,
|
||
"created_at": "2025-08-12T11:30:09.206238+08:00",
|
||
"updated_at": "2025-08-12T11:30:09.206238+08:00",
|
||
"deleted_at": null
|
||
}
|
||
],
|
||
"success": true
|
||
}
|
||
```
|