> ## Documentation Index > Fetch the complete documentation index at: https://phidatainc-redirect-agent-platform-overview.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: 2.5.6 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 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 .xlsx: - excel .xls: - excel application/vnd.openxmlformats-officedocument.spreadsheetml.sheet: - excel application/vnd.ms-excel: - excel .docx: - docx .doc: - docx .json: - json .md: - markdown .pdf: - pdf .txt: - text 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' '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' 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) type: object title: ConfigResponseSchema BadRequestResponse: properties: detail: type: string title: Detail description: Error detail message error_code: anyOf: - type: string - type: 'null' title: Error Code description: Error code for categorization type: object required: - detail title: BadRequestResponse example: detail: Bad request error_code: BAD_REQUEST UnauthenticatedResponse: properties: detail: type: string title: Detail description: Error detail message error_code: anyOf: - type: string - type: 'null' title: Error Code description: Error code for categorization type: object required: - detail title: UnauthenticatedResponse example: detail: Unauthenticated access error_code: UNAUTHENTICATED NotFoundResponse: properties: detail: type: string title: Detail description: Error detail message error_code: anyOf: - type: string - type: 'null' title: Error Code description: Error code for categorization type: object required: - detail title: NotFoundResponse example: detail: Not found error_code: NOT_FOUND ValidationErrorResponse: properties: detail: type: string title: Detail description: Error detail message error_code: anyOf: - type: string - type: 'null' title: Error Code description: Error code for categorization type: object required: - detail title: ValidationErrorResponse example: detail: Validation error error_code: VALIDATION_ERROR InternalServerErrorResponse: properties: detail: type: string title: Detail description: Error detail message error_code: anyOf: - type: string - type: 'null' title: Error Code description: Error code for categorization type: object required: - detail title: InternalServerErrorResponse example: detail: Internal server error error_code: 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 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. securitySchemes: HTTPBearer: type: http scheme: bearer ````