Feat: TrustGraph i18n & Documentation Translation Updates (#781)
Native CLI i18n: The TrustGraph CLI has built-in translation support
that dynamically loads language strings. You can test and use
different languages by simply passing the --lang flag (e.g., --lang
es for Spanish, --lang ru for Russian) or by configuring your
environment's LANG variable.
Automated Docs Translations: This PR introduces autonomously
translated Markdown documentation into several target languages,
including Spanish, Swahili, Portuguese, Turkish, Hindi, Hebrew,
Arabic, Simplified Chinese, and Russian.
2026-04-14 07:07:58 -04:00
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---
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layout: default
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title: "OpenAPI Specification - Technical Spec"
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parent: "Tech Specs"
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---
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2026-01-15 11:04:37 +00:00
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# OpenAPI Specification - Technical Spec
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## Goal
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Create a comprehensive, modular OpenAPI 3.1 specification for the TrustGraph REST API Gateway that:
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- Documents all REST endpoints
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- Uses external `$ref` for modularity and maintainability
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- Maps directly to the message translator code
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- Provides accurate request/response schemas
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## Source of Truth
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The API is defined by:
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- **Message Translators**: `trustgraph-base/trustgraph/messaging/translators/*.py`
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- **Dispatcher Manager**: `trustgraph-flow/trustgraph/gateway/dispatch/manager.py`
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- **Endpoint Manager**: `trustgraph-flow/trustgraph/gateway/endpoint/manager.py`
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## Directory Structure
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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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## Service Mapping
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### Global Services (`/api/v1/{kind}`)
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- `config` - Configuration management
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- `flow` - Flow lifecycle
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- `librarian` - Document library
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- `knowledge` - Knowledge cores
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- `collection-management` - Collection metadata
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### Flow-Hosted Services (`/api/v1/flow/{flow}/service/{kind}`)
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**Request/Response:**
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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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**Fire-and-Forget:**
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- `text-load`, `document-load`
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### Import/Export
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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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### Other
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- `/api/v1/socket` (WebSocket multiplexed)
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- `/api/metrics` (Prometheus)
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## Approach
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### Phase 1: Setup
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1. Create directory structure
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2. Create main `openapi.yaml` with metadata, servers, security
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3. Create reusable components (errors, common parameters, security schemes)
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### Phase 2: Common Schemas
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Create shared schemas used across services:
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- `RdfValue`, `Triple` - RDF/triple structures
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- `ErrorObject` - Error response
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- `DocumentMetadata`, `ProcessingMetadata` - Metadata structures
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- Common parameters: `FlowId`, `User`, `Collection`
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### Phase 3: Global Services
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For each global service (config, flow, librarian, knowledge, collection-management):
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1. Create path file in `paths/`
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2. Create request schema in `components/schemas/{service}/`
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3. Create response schema
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4. Add examples
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5. Reference from main `openapi.yaml`
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### Phase 4: Flow-Hosted Services
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For each flow-hosted service:
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1. Create path file in `paths/flow-services/`
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2. Create request/response schemas in `components/schemas/ai-services/`
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3. Add streaming flag documentation where applicable
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4. Reference from main `openapi.yaml`
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### Phase 5: Import/Export & WebSocket
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1. Document core import/export endpoints
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2. Document WebSocket protocol patterns
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3. Document flow-level import/export WebSocket endpoints
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### Phase 6: Validation
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1. Validate with OpenAPI validator tools
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2. Test with Swagger UI
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3. Verify all translators are covered
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## Field Naming Convention
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All JSON fields use **kebab-case**:
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- `flow-id`, `blueprint-name`, `doc-limit`, `entity-limit`, etc.
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## Creating Schema Files
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For each translator in `trustgraph-base/trustgraph/messaging/translators/`:
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1. **Read translator `to_pulsar()` method** - Defines request schema
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2. **Read translator `from_pulsar()` method** - Defines response schema
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3. **Extract field names and types**
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4. **Create OpenAPI schema** with:
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- Field names (kebab-case)
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- Types (string, integer, boolean, object, array)
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- Required fields
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- Defaults
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- Descriptions
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### Example Mapping Process
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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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Maps to:
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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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## Streaming Responses
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Services that support streaming return multiple responses with `end_of_stream` flag:
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- `agent`, `text-completion`, `prompt`
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- `document-rag`, `graph-rag`
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Document this pattern in each service's response schema.
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## Error Responses
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All services can return:
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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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Where `ErrorObject` is:
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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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## References
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- Translators: `trustgraph-base/trustgraph/messaging/translators/`
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- Dispatcher mapping: `trustgraph-flow/trustgraph/gateway/dispatch/manager.py`
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- Endpoint routing: `trustgraph-flow/trustgraph/gateway/endpoint/manager.py`
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- Service summary: `API_SERVICES_SUMMARY.md`
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