> ## Documentation Index > Fetch the complete documentation index at: https://dify-6c0370d8-fix-template-upload-size-guidance.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Configure Annotation Reply > **Available for**: Chatflow, Chatbot, Legacy Agent apps. Enables or disables annotation reply for the app. Runs asynchronously; track progress with [Get Annotation Reply Job Status](/en/api-reference/annotations/get-annotation-reply-job-status). The body is validated before the action runs, so `score_threshold`, `embedding_provider_name`, and `embedding_model_name` are required even for `disable`. ## OpenAPI ````yaml /en/api-reference/openapi_service.json post /apps/annotation-reply/{action} openapi: 3.0.1 info: description: >- REST API for Dify applications and knowledge bases. Application endpoints authenticate with an app API key; knowledge endpoints authenticate with a dataset API key. title: Dify Service API version: 1.0.0 servers: - description: >- Base URL of the Dify Service API. For self-hosted deployments, replace it with your own API base URL. url: https://{api_base_url} variables: api_base_url: default: api.dify.ai/v1 description: Host and path of the API base URL, without the `https://` prefix. security: - ApiKeyAuth: [] tags: - description: Operations related to chat messages and interactions. name: Chat Messages - description: File upload and preview operations. name: Files - description: Operations related to end user information. name: End Users - description: User feedback operations. name: Feedback - description: Operations related to managing conversations. name: Conversations - description: Text-to-Speech and Speech-to-Text operations. name: Audio - description: Operations to retrieve application settings and information. name: Applications - description: Operations related to managing annotations for direct replies. name: Annotations - description: Endpoints for resuming paused workflows that require human input. name: Human Input - description: Operations for executing and managing workflows. name: Workflow Runs - description: Operations related to text generation and completion. name: Completion Messages - description: >- Operations for managing knowledge bases, including creation, configuration, and retrieval. name: Knowledge Bases - description: >- Operations for creating, updating, and managing documents within a knowledge base. name: Documents - description: Operations for managing document chunks and child chunks. name: Chunks - description: >- Operations for managing knowledge base metadata fields and document metadata values. name: Metadata - description: Operations for managing knowledge base tags and tag bindings. name: Tags - description: Operations for retrieving available models. name: Models - description: >- Operations for managing and running knowledge pipelines, including datasource plugins and pipeline execution. name: Knowledge Pipeline paths: /apps/annotation-reply/{action}: post: tags: - Annotations summary: Configure Annotation Reply description: >- **Available for**: Chatflow, Chatbot, Legacy Agent apps. Enables or disables annotation reply for the app. Runs asynchronously; track progress with [Get Annotation Reply Job Status](/en/api-reference/annotations/get-annotation-reply-job-status). The body is validated before the action runs, so `score_threshold`, `embedding_provider_name`, and `embedding_model_name` are required even for `disable`. operationId: initialAnnotationReplySettings parameters: - description: Whether to enable or disable annotation reply. in: path name: action required: true schema: enum: - enable - disable type: string requestBody: content: application/json: examples: enableAnnotationReply: summary: Request Example value: embedding_model_name: text-embedding-3-small embedding_provider_name: openai score_threshold: 0.9 schema: $ref: '#/components/schemas/InitialAnnotationReplySettingsRequest' required: true responses: '200': content: application/json: examples: annotationReplyResponse: summary: Response Example value: job_id: a1b2c3d4-5678-90ab-cdef-1234567890ab job_status: waiting schema: $ref: '#/components/schemas/InitialAnnotationReplySettingsResponse' description: Annotation reply settings task initiated. components: schemas: InitialAnnotationReplySettingsRequest: description: Request body for configuring annotation reply settings. properties: embedding_model_name: description: >- Embedding model used to vectorize annotations for matching (for example, `text-embedding-3-small`). type: string embedding_provider_name: description: >- Embedding model provider (for example, `openai`). Get available providers from [Get Available Models](/en/api-reference/models/get-available-models). type: string score_threshold: description: >- Minimum similarity score for an annotation to be considered a match. Higher values require closer matches. format: float type: number required: - score_threshold - embedding_provider_name - embedding_model_name type: object InitialAnnotationReplySettingsResponse: properties: job_id: description: >- Asynchronous job ID. Use with [Get Annotation Reply Job Status](/en/api-reference/annotations/get-annotation-reply-job-status) to track progress. format: uuid type: string job_status: description: >- Current job status: `waiting` (queued) or `processing` (in progress). `completed` and `error` are returned only by [Get Annotation Reply Job Status](/en/api-reference/annotations/get-annotation-reply-job-status). type: string type: object securitySchemes: ApiKeyAuth: bearerFormat: API_KEY description: >- Every request authenticates with an API key: `Authorization: Bearer {API_KEY}`. App endpoints take an app API key; knowledge endpoints take a knowledge base API key ([Get Started](/en/api-reference/guides/get-started)). Keep keys server-side; never embed them in client code. Requests with a missing or invalid key fail with HTTP `401` (`unauthorized`). scheme: bearer type: http ````