> ## Documentation Index > Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Get Config > Retrieve available readers, chunkers, and configuration options for content processing. This endpoint provides metadata about supported file types, processing strategies, and filters. ## OpenAPI ````yaml get /knowledge/config openapi: 3.1.0 info: title: Agno API Reference description: The all-in-one, private, secure agent platform that runs in your cloud. version: 3.0.4 servers: [] security: [] paths: /knowledge/config: get: tags: - Knowledge summary: Get Config description: >- Retrieve available readers, chunkers, and configuration options for content processing. This endpoint provides metadata about supported file types, processing strategies, and filters. operationId: get_knowledge_config parameters: - name: db_id in: query required: false schema: anyOf: - type: string - type: 'null' description: Database ID to use title: Db Id description: Database ID to use - name: knowledge_id in: query required: false schema: anyOf: - type: string - type: 'null' description: Knowledge base ID to use title: Knowledge Id description: Knowledge base ID to use responses: '200': description: Knowledge configuration retrieved successfully content: application/json: schema: $ref: '#/components/schemas/ConfigResponseSchema' example: readers: website: id: website name: WebsiteReader description: Reads website files chunkers: - AgenticChunker - DocumentChunker - RecursiveChunker - SemanticChunker - FixedSizeChunker firecrawl: id: firecrawl name: FirecrawlReader description: Reads firecrawl files chunkers: - SemanticChunker - FixedSizeChunker - AgenticChunker - DocumentChunker - RecursiveChunker youtube: id: youtube name: YoutubeReader description: Reads youtube files chunkers: - RecursiveChunker - AgenticChunker - DocumentChunker - SemanticChunker - FixedSizeChunker web_search: id: web_search name: WebSearchReader description: Reads web_search files chunkers: - AgenticChunker - DocumentChunker - RecursiveChunker - SemanticChunker - FixedSizeChunker arxiv: id: arxiv name: ArxivReader description: Reads arxiv files chunkers: - FixedSizeChunker - AgenticChunker - DocumentChunker - RecursiveChunker - SemanticChunker csv: id: csv name: CsvReader description: Reads csv files chunkers: - RowChunker - FixedSizeChunker - AgenticChunker - DocumentChunker - RecursiveChunker docling: id: docling name: DoclingReader description: >- Converts multiple document formats like PDF, DOCX, PPTX, images, HTML, etc. using IBM's Docling library chunkers: - AgenticChunker - CodeChunker - DocumentChunker - FixedSizeChunker - RecursiveChunker - SemanticChunker docx: id: docx name: DocxReader description: Reads docx files chunkers: - DocumentChunker - FixedSizeChunker - SemanticChunker - AgenticChunker - RecursiveChunker gcs: id: gcs name: GcsReader description: Reads gcs files chunkers: - FixedSizeChunker - AgenticChunker - DocumentChunker - RecursiveChunker - SemanticChunker json: id: json name: JsonReader description: Reads json files chunkers: - FixedSizeChunker - AgenticChunker - DocumentChunker - RecursiveChunker - SemanticChunker markdown: id: markdown name: MarkdownReader description: Reads markdown files chunkers: - MarkdownChunker - DocumentChunker - AgenticChunker - RecursiveChunker - SemanticChunker - FixedSizeChunker pdf: id: pdf name: PdfReader description: Reads pdf files chunkers: - DocumentChunker - FixedSizeChunker - AgenticChunker - SemanticChunker - RecursiveChunker text: id: text name: TextReader description: Reads text files chunkers: - CodeChunker - FixedSizeChunker - AgenticChunker - DocumentChunker - RecursiveChunker - SemanticChunker readersForType: url: - url - website - firecrawl - youtube - web_search - gcs youtube: - youtube text: - web_search topic: - arxiv file: - csv - gcs .csv: - csv - field_labeled_csv - docling .xlsx: - excel - docling .xls: - excel application/vnd.openxmlformats-officedocument.spreadsheetml.sheet: - excel application/vnd.ms-excel: - excel .docx: - docx - docling .dotx: - docling .docm: - docling .dotm: - docling .pptx: - docling - pptx .potx: - docling .ppsx: - docling .pptm: - docling .ppsm: - docling .potm: - docling .json: - json .md: - markdown - docling .pdf: - pdf - docling .txt: - text .html: - docling .htm: - docling .xhtml: - docling .xml: - docling .nxml: - docling .xbrl: - docling .adoc: - docling .asciidoc: - docling .asc: - docling .xlsm: - docling .tex: - docling .latex: - docling .tar.gz: - docling .vtt: - docling .png: - docling .jpeg: - docling .jpg: - docling .tiff: - docling .tif: - docling .bmp: - docling .webp: - docling .wav: - docling .mp3: - docling .m4a: - docling .aac: - docling .ogg: - docling .flac: - docling .mp4: - docling .avi: - docling .mov: - docling chunkers: AgenticChunker: key: AgenticChunker name: AgenticChunker description: >- Chunking strategy that uses an LLM to determine natural breakpoints in the text metadata: chunk_size: 5000 CodeChunker: key: CodeChunker name: CodeChunker description: >- The CodeChunker splits code into chunks based on its structure, leveraging Abstract Syntax Trees (ASTs) to create contextually relevant segments metadata: chunk_size: 2048 DocumentChunker: key: DocumentChunker name: DocumentChunker description: >- A chunking strategy that splits text based on document structure like paragraphs and sections metadata: chunk_size: 5000 chunk_overlap: 0 FixedSizeChunker: key: FixedSizeChunker name: FixedSizeChunker description: >- Chunking strategy that splits text into fixed-size chunks with optional overlap metadata: chunk_size: 5000 chunk_overlap: 0 MarkdownChunker: key: MarkdownChunker name: MarkdownChunker description: >- A chunking strategy that splits markdown based on structure like headers, paragraphs and sections metadata: chunk_size: 5000 chunk_overlap: 0 RecursiveChunker: key: RecursiveChunker name: RecursiveChunker description: >- Chunking strategy that recursively splits text into chunks by finding natural break points metadata: chunk_size: 5000 chunk_overlap: 0 RowChunker: key: RowChunker name: RowChunker description: RowChunking chunking strategy metadata: {} SemanticChunker: key: SemanticChunker name: SemanticChunker description: >- Chunking strategy that splits text into semantic chunks using chonkie metadata: chunk_size: 5000 vector_dbs: - id: vector_db_1 name: Vector DB 1 description: Vector DB 1 description search_types: - vector - keyword - hybrid filters: - filter_tag_1 - filter_tag2 '400': description: Bad Request content: application/json: schema: $ref: '#/components/schemas/BadRequestResponse' '401': description: Unauthorized content: application/json: schema: $ref: '#/components/schemas/UnauthenticatedResponse' '403': description: 'Insufficient permissions. Required scope(s): knowledge:read' '404': description: Not Found content: application/json: schema: $ref: '#/components/schemas/NotFoundResponse' '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/ValidationErrorResponse' '500': description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/InternalServerErrorResponse' '503': description: No knowledge base is configured on this AgentOS security: - {} - HTTPBearer: [] components: schemas: ConfigResponseSchema: properties: readers: anyOf: - additionalProperties: $ref: '#/components/schemas/ReaderSchema' type: object - type: 'null' title: Readers description: Available content readers readersForType: anyOf: - additionalProperties: items: type: string type: array type: object - type: 'null' title: Readersfortype description: Mapping of content types to reader IDs chunkers: anyOf: - additionalProperties: $ref: '#/components/schemas/ChunkerSchema' type: object - type: 'null' title: Chunkers description: Available chunking strategies filters: anyOf: - items: type: string type: array - type: 'null' title: Filters description: Available filter tags vector_dbs: anyOf: - items: $ref: '#/components/schemas/VectorDbSchema' type: array - type: 'null' title: Vector Dbs description: Configured vector databases remote_content_sources: anyOf: - items: $ref: '#/components/schemas/RemoteContentSourceSchema' type: array - type: 'null' title: Remote Content Sources description: Configured remote content sources (S3, GCS, SharePoint, GitHub) unavailable_readers: anyOf: - additionalProperties: $ref: '#/components/schemas/UnavailableReaderSchema' type: object - type: 'null' title: Unavailable Readers description: >- Readers that are not usable in this install, and the packages they need unavailable_chunkers: anyOf: - additionalProperties: $ref: '#/components/schemas/UnavailableChunkerSchema' type: object - type: 'null' title: Unavailable Chunkers description: >- Chunking strategies that are not usable in this install, and the packages they need type: object title: ConfigResponseSchema BadRequestResponse: properties: detail: type: string title: Detail description: Human-readable error message error_id: anyOf: - type: string - type: 'null' title: Error Id description: >- Stable identifier for the specific error, present only when the error carries one error_type: anyOf: - type: string - type: 'null' title: Error Type description: Category of the error, present only when the error carries one type: object required: - detail title: BadRequestResponse example: detail: Bad request UnauthenticatedResponse: properties: detail: type: string title: Detail description: Human-readable error message error_id: anyOf: - type: string - type: 'null' title: Error Id description: >- Stable identifier for the specific error, present only when the error carries one error_type: anyOf: - type: string - type: 'null' title: Error Type description: Category of the error, present only when the error carries one type: object required: - detail title: UnauthenticatedResponse example: detail: Unauthenticated access NotFoundResponse: properties: detail: type: string title: Detail description: Human-readable error message error_id: anyOf: - type: string - type: 'null' title: Error Id description: >- Stable identifier for the specific error, present only when the error carries one error_type: anyOf: - type: string - type: 'null' title: Error Type description: Category of the error, present only when the error carries one type: object required: - detail title: NotFoundResponse example: detail: Not found ValidationErrorResponse: properties: detail: anyOf: - type: string - items: $ref: '#/components/schemas/ValidationErrorDetail' type: array title: Detail description: >- A single message for an explicitly raised 422, or a list of field-level errors for a request-validation failure type: object required: - detail title: ValidationErrorResponse description: >- 422 body. Two runtime shapes share this status code, and the same endpoint can return either, so ``detail`` is typed as their union: - FastAPI's request-validation handler emits a **list** of field-level errors (built-in coercion errors and custom-validator ``ValueError``s alike). - A route that raises ``HTTPException(status_code=422, detail="...")`` for a semantic check (e.g. an invalid cron expression) emits a **string** through the HTTPException handler. example: detail: - loc: - body - endpoint msg: Value error, Endpoint must be a path, not a full URL type: value_error InternalServerErrorResponse: properties: detail: type: string title: Detail description: Human-readable error message error_id: anyOf: - type: string - type: 'null' title: Error Id description: >- Stable identifier for the specific error, present only when the error carries one error_type: anyOf: - type: string - type: 'null' title: Error Type description: Category of the error, present only when the error carries one type: object required: - detail title: InternalServerErrorResponse example: detail: Internal server error ReaderSchema: properties: id: type: string title: Id description: Unique identifier for the reader name: anyOf: - type: string - type: 'null' title: Name description: Name of the reader description: anyOf: - type: string - type: 'null' title: Description description: Description of the reader's capabilities chunkers: anyOf: - items: type: string type: array - type: 'null' title: Chunkers description: List of supported chunking strategies content_types: anyOf: - items: type: string type: array - type: 'null' title: Content Types description: Content types this reader can read in this install unavailable_content_types: anyOf: - additionalProperties: items: type: string type: array type: object - type: 'null' title: Unavailable Content Types description: >- Content types this reader supports but cannot read here, and the packages each needs type: object required: - id title: ReaderSchema ChunkerSchema: properties: key: type: string title: Key name: anyOf: - type: string - type: 'null' title: Name description: anyOf: - type: string - type: 'null' title: Description metadata: anyOf: - additionalProperties: true type: object - type: 'null' title: Metadata type: object required: - key title: ChunkerSchema VectorDbSchema: properties: id: type: string title: Id description: Unique identifier for the vector database name: anyOf: - type: string - type: 'null' title: Name description: Name of the vector database description: anyOf: - type: string - type: 'null' title: Description description: Description of the vector database search_types: anyOf: - items: type: string type: array - type: 'null' title: Search Types description: List of supported search types (vector, keyword, hybrid) type: object required: - id title: VectorDbSchema RemoteContentSourceSchema: properties: id: type: string title: Id description: Unique identifier for the content source name: type: string title: Name description: Display name for the content source type: type: string title: Type description: Type of content source (s3, gcs, sharepoint, github, azureblob) metadata: anyOf: - additionalProperties: true type: object - type: 'null' title: Metadata description: Custom metadata for the content source prefix: anyOf: - type: string - type: 'null' title: Prefix description: Default path prefix for this source type: object required: - id - name - type title: RemoteContentSourceSchema description: Schema for remote content source configuration. UnavailableReaderSchema: properties: id: type: string title: Id description: Reader key that could not be loaded name: anyOf: - type: string - type: 'null' title: Name description: Name of the reader description: anyOf: - type: string - type: 'null' title: Description description: Description of the reader's capabilities missing_packages: items: type: string type: array title: Missing Packages description: Packages that are not importable reason: type: string title: Reason description: Verbatim import failure, including its install instruction type: object required: - id - reason title: UnavailableReaderSchema UnavailableChunkerSchema: properties: id: type: string title: Id description: Chunker key that could not be loaded name: anyOf: - type: string - type: 'null' title: Name description: Name of the chunker description: anyOf: - type: string - type: 'null' title: Description description: Description of the chunking strategy missing_packages: items: type: string type: array title: Missing Packages description: Packages that are not importable reason: type: string title: Reason description: Verbatim import failure, including its install instruction type: object required: - id - reason title: UnavailableChunkerSchema ValidationErrorDetail: properties: loc: items: anyOf: - type: string - type: integer type: array title: Loc description: Path to the offending field, e.g. ['body', 'endpoint'] msg: type: string title: Msg description: Human-readable error message type: type: string title: Type description: Error type identifier, e.g. 'value_error' or 'missing' type: object required: - loc - msg - type title: ValidationErrorDetail description: >- One field-level error inside a 422 body, matching FastAPI's default shape. securitySchemes: HTTPBearer: type: http scheme: bearer ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.