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Structure the tech specs directory (#836)
Tech spec some subdirectories for different languages
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docs/tech-specs/zh-cn/openapi-spec.zh-cn.md
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docs/tech-specs/zh-cn/openapi-spec.zh-cn.md
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---
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layout: default
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title: "OpenAPI 规范 - 技术规范"
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parent: "Chinese (Beta)"
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---
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# OpenAPI 规范 - 技术规范
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> **Beta Translation:** This document was translated via Machine Learning and as such may not be 100% accurate. All non-English languages are currently classified as Beta.
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## 目标
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创建一个全面的、模块化的 OpenAPI 3.1 规范,用于 TrustGraph REST API 网关,该规范应:
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记录所有 REST 接口
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使用外部 `$ref` 以实现模块化和可维护性
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直接映射到消息转换器代码
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提供准确的请求/响应模式
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## 权威来源
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API 由以下内容定义:
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**消息转换器**: `trustgraph-base/trustgraph/messaging/translators/*.py`
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**分派器管理器**: `trustgraph-flow/trustgraph/gateway/dispatch/manager.py`
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**端点管理器**: `trustgraph-flow/trustgraph/gateway/endpoint/manager.py`
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## 目录结构
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```
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openapi/
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├── openapi.yaml # Main entry point
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├── paths/
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│ ├── config.yaml # Global services
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│ ├── flow.yaml
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│ ├── librarian.yaml
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│ ├── knowledge.yaml
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│ ├── collection-management.yaml
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│ ├── flow-services/ # Flow-hosted services
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│ │ ├── agent.yaml
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│ │ ├── document-rag.yaml
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│ │ ├── graph-rag.yaml
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│ │ ├── text-completion.yaml
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│ │ ├── prompt.yaml
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│ │ ├── embeddings.yaml
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│ │ ├── mcp-tool.yaml
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│ │ ├── triples.yaml
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│ │ ├── objects.yaml
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│ │ ├── nlp-query.yaml
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│ │ ├── structured-query.yaml
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│ │ ├── structured-diag.yaml
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│ │ ├── graph-embeddings.yaml
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│ │ ├── document-embeddings.yaml
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│ │ ├── text-load.yaml
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│ │ └── document-load.yaml
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│ ├── import-export/
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│ │ ├── core-import.yaml
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│ │ ├── core-export.yaml
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│ │ └── flow-import-export.yaml # WebSocket import/export
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│ ├── websocket.yaml
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│ └── metrics.yaml
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├── components/
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│ ├── schemas/
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│ │ ├── config/
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│ │ ├── flow/
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│ │ ├── librarian/
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│ │ ├── knowledge/
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│ │ ├── collection/
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│ │ ├── ai-services/
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│ │ ├── common/
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│ │ └── errors/
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│ ├── parameters/
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│ ├── responses/
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│ └── examples/
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└── security/
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└── bearerAuth.yaml
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```
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## 服务映射
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### 全局服务 (`/api/v1/{kind}`)
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`config` - 配置管理
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`flow` - 流生存周期
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`librarian` - 文档库
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`knowledge` - 知识核心
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`collection-management` - 集合元数据
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### 托管于流的服务 (`/api/v1/flow/{flow}/service/{kind}`)
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**请求/响应:**
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`agent`, `text-completion`, `prompt`, `mcp-tool`
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`graph-rag`, `document-rag`
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`embeddings`, `graph-embeddings`, `document-embeddings`
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`triples`, `objects`, `nlp-query`, `structured-query`, `structured-diag`
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**发布/订阅:**
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`text-load`, `document-load`
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### 导入/导出
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`/api/v1/import-core` (POST)
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`/api/v1/export-core` (GET)
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`/api/v1/flow/{flow}/import/{kind}` (WebSocket)
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`/api/v1/flow/{flow}/export/{kind}` (WebSocket)
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### 其他
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`/api/v1/socket` (WebSocket 多路复用)
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`/api/metrics` (Prometheus)
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## 方案
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### 第一阶段:设置
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1. 创建目录结构
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2. 创建主 `openapi.yaml` 文件,包含元数据、服务器、安全配置
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3. 创建可重用组件(错误、通用参数、安全方案)
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### 第二阶段:通用模式
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创建在服务间共享的模式:
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`RdfValue`, `Triple` - RDF/三元组结构
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`ErrorObject` - 错误响应
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`DocumentMetadata`, `ProcessingMetadata` - 元数据结构
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通用参数:`FlowId`, `User`, `Collection`
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### 第三阶段:全球服务
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对于每个全球服务(配置、流程、库管理员、知识、集合管理):
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1. 在 `paths/` 中创建路径文件。
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2. 在 `components/schemas/{service}/` 中创建请求模式。
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3. 创建响应模式。
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4. 添加示例。
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5. 从主文件 `openapi.yaml` 中引用。
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### 第四阶段:流程托管服务
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对于每个流程托管服务:
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1. 在 `paths/flow-services/` 中创建路径文件。
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2. 在 `components/schemas/ai-services/` 中创建请求/响应模式。
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3. 在适用情况下,添加流媒体标志文档。
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4. 从主文件 `openapi.yaml` 中引用。
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### 第五阶段:导入/导出 & WebSocket
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1. 文档核心导入/导出端点。
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2. 文档 WebSocket 协议模式。
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3. 文档流程级别的导入/导出 WebSocket 端点。
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### 第六阶段:验证
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1. 使用 OpenAPI 验证工具进行验证。
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2. 使用 Swagger UI 进行测试。
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3. 验证所有翻译器是否已覆盖。
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## 字段命名约定
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所有 JSON 字段使用 **kebab-case**:
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`flow-id`, `blueprint-name`, `doc-limit`, `entity-limit`, 等。
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## 创建模式文件
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对于 `trustgraph-base/trustgraph/messaging/translators/` 中的每个翻译器:
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1. **读取翻译器 `to_pulsar()` 方法** - 定义请求模式。
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2. **读取翻译器 `from_pulsar()` 方法** - 定义响应模式。
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3. **提取字段名称和类型**。
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4. **创建 OpenAPI 模式**,包含:
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字段名称(kebab-case)。
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类型(字符串、整数、布尔值、对象、数组)。
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必需字段。
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默认值。
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描述。
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### 示例映射过程
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```python
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# From retrieval.py DocumentRagRequestTranslator
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def to_pulsar(self, data: Dict[str, Any]) -> DocumentRagQuery:
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return DocumentRagQuery(
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query=data["query"], # required string
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user=data.get("user", "trustgraph"), # optional string, default "trustgraph"
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collection=data.get("collection", "default"), # optional string, default "default"
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doc_limit=int(data.get("doc-limit", 20)), # optional integer, default 20
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streaming=data.get("streaming", False) # optional boolean, default false
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)
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```
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对应于:
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```yaml
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# components/schemas/ai-services/DocumentRagRequest.yaml
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type: object
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required:
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- query
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properties:
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query:
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type: string
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description: Search query
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user:
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type: string
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default: trustgraph
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collection:
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type: string
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default: default
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doc-limit:
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type: integer
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default: 20
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description: Maximum number of documents to retrieve
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streaming:
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type: boolean
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default: false
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description: Enable streaming responses
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```
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## 流式响应
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支持流式传输的服务会返回带有 `end_of_stream` 标志的多个响应:
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`agent`, `text-completion`, `prompt`
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`document-rag`, `graph-rag`
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在每个服务的响应模式中记录此模式。
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## 错误响应
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所有服务都可以返回:
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```yaml
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error:
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oneOf:
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- type: string
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- $ref: '#/components/schemas/ErrorObject'
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```
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其中,`ErrorObject` 指的是:
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```yaml
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type: object
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properties:
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type:
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type: string
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message:
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type: string
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```
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## 参考文献
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翻译人员:`trustgraph-base/trustgraph/messaging/translators/`
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调度映射:`trustgraph-flow/trustgraph/gateway/dispatch/manager.py`
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终端路由:`trustgraph-flow/trustgraph/gateway/endpoint/manager.py`
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服务摘要:`API_SERVICES_SUMMARY.md`
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