> ## 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. # List Datasource Plugins > Returns the datasource nodes configured in the knowledge pipeline, each with the plugin it uses and the metadata needed to run it. ## OpenAPI ````yaml /en/api-reference/openapi_service.json get /datasets/{dataset_id}/pipeline/datasource-plugins 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: /datasets/{dataset_id}/pipeline/datasource-plugins: get: tags: - Knowledge Pipeline summary: List Datasource Plugins description: >- Returns the datasource nodes configured in the knowledge pipeline, each with the plugin it uses and the metadata needed to run it. operationId: listDatasourcePlugins parameters: - description: >- Knowledge base ID, from [List Knowledge Bases](/en/api-reference/knowledge-bases/list-knowledge-bases). in: path name: dataset_id required: true schema: format: uuid type: string - description: >- Whether to read nodes from the published pipeline version rather than the draft. in: query name: is_published schema: default: true type: boolean responses: '200': content: application/json: examples: success: summary: Response Example value: - credentials: - id: c1d2e3f4-a5b6-7890-abcd-ef1234567890 is_default: true name: Production Notion type: api-key datasource_type: online_document node_id: '1719288585006' plugin_id: langgenius/notion_datasource provider_name: notion title: Notion Documents user_input_variables: [] schema: items: properties: credentials: description: >- Credentials available for authenticating with this datasource. items: properties: id: description: >- Credential ID. Pass this as `credential_id` to [Run Datasource Node](/en/api-reference/knowledge-pipeline/run-datasource-node) or in per-item `credential_id` fields of [Run Pipeline](/en/api-reference/knowledge-pipeline/run-pipeline). type: string is_default: description: >- Whether this credential is the default for the provider. type: boolean name: description: Display name of the credential. type: string type: description: Credential type defined by the datasource plugin. type: string type: object type: array datasource_type: description: >- Type of datasource. One of `local_file`, `online_document`, `online_drive`, `website_crawl`. type: string node_id: description: >- ID of the datasource node in the pipeline workflow. Pass this as `node_id` to [Run Datasource Node](/en/api-reference/knowledge-pipeline/run-datasource-node), or as `start_node_id` to [Run Pipeline](/en/api-reference/knowledge-pipeline/run-pipeline). type: string plugin_id: description: ID of the datasource plugin providing this node. type: string provider_name: description: Provider name registered by the datasource plugin. type: string title: description: Display title configured for the node. type: string user_input_variables: description: >- Pipeline input variables the caller must supply for this datasource, derived from `{{#...#}}` references in the node's datasource parameters. Each item follows the pipeline variable schema used by the workflow. items: additionalProperties: true type: object type: array type: object type: array description: List of datasource nodes configured in the pipeline. '400': content: application/json: examples: invalid_param: summary: invalid_param value: code: invalid_param message: Pipeline not found status: 400 description: >- `invalid_param` : The knowledge base has no processing pipeline configured. '403': content: application/json: examples: forbidden: summary: forbidden (api access) value: code: forbidden message: Dataset api access is not enabled. status: 403 description: '`forbidden` : API access is not enabled for this knowledge base.' '404': content: application/json: examples: not_found: summary: not_found value: code: not_found message: Dataset not found. status: 404 description: '`not_found` : No knowledge base matches `dataset_id`.' components: 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 ````