Vellum AI subpackage_folderEntities API

openapi: 3.2.0
info:
  title: Client SDK Subpackage Folder Entities API
  version: 1.0.0
servers:
- url: https://predict.vellum.ai
- url: https://api.vellum.ai
- url: https://documents.vellum.ai
tags:
- name: subpackage_folderEntities
paths:
  /v1/folders/{folder_id}/add-entity:
    post:
      operationId: add-entity-to-folder
      summary: Add Entity To Folder
      description: 'Add an entity to a specific folder or root directory.


        Adding an entity to a folder will remove it from any other folders it might have been a member of.'
      tags:
      - subpackage_folderEntities
      parameters:
      - name: folder_id
        in: path
        description: 'The ID of the folder to which the entity should be added. This can be a UUID of a folder, or the name of a root

          directory. Supported root directories include:

          - PROMPT_SANDBOX

          - WORKFLOW_SANDBOX

          - DOCUMENT_INDEX

          - TEST_SUITE'
        required: true
        schema:
          type: string
      - name: X-API-KEY
        in: header
        required: true
        schema:
          type: string
      - name: X-API-Version
        in: header
        required: false
        schema:
          type: string
      responses:
        '200':
          description: No response body
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/folder-entities_add_entity_to_folder_Response_200'
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/AddEntityToFolderRequest'
  /v1/folder-entities:
    get:
      operationId: list
      summary: List
      description: List all folder entities within a specified folder.
      tags:
      - subpackage_folderEntities
      parameters:
      - name: entity_status
        in: query
        description: 'Filter down to only those objects whose entities have a status matching the status specified.


          * `ACTIVE` - Active

          * `ARCHIVED` - Archived

          * `PENDING_DELETION` - Pending Deletion'
        required: false
        schema:
          $ref: '#/components/schemas/V1FolderEntitiesGetParametersEntityStatus'
      - name: limit
        in: query
        description: Number of results to return per page.
        required: false
        schema:
          type: integer
      - name: offset
        in: query
        description: The initial index from which to return the results.
        required: false
        schema:
          type: integer
      - name: ordering
        in: query
        description: Which field to use when ordering the results.
        required: false
        schema:
          type: string
      - name: parent_folder_id
        in: query
        description: 'Filter down to only those entities whose parent folder has the specified ID.


          To filter by an entity''s parent folder, provide the ID of the parent folder. To filter by the root directory, provide

          a string representing the entity type of the root directory. Supported root directories include:

          - PROMPT_SANDBOX

          - WORKFLOW_SANDBOX

          - DOCUMENT_INDEX

          - TEST_SUITE'
        required: true
        schema:
          type: string
      - name: X-API-KEY
        in: header
        required: true
        schema:
          type: string
      - name: X-API-Version
        in: header
        required: false
        schema:
          type: string
      responses:
        '200':
          description: ''
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/PaginatedFolderEntityList'
components:
  schemas:
    sentence-chunkerEnum:
      type: string
      enum:
      - sentence-chunker
      title: sentence-chunkerEnum
    FastEmbedVectorizerBAAIBgeSmallEnV15:
      type: object
      properties:
        model_name:
          $ref: '#/components/schemas/baai-bge-small-en-v1.5Enum'
      required:
      - model_name
      description: FastEmbed vectorizer for BAAI/bge-small-en-v1.5.
      title: FastEmbedVectorizerBAAIBgeSmallEnV15
    FolderEntityWorkflowSandbox:
      type: object
      properties:
        id:
          type: string
          format: uuid
        type:
          $ref: '#/components/schemas/WorkflowSandboxEnum'
        data:
          $ref: '#/components/schemas/FolderEntityWorkflowSandboxData'
      required:
      - id
      - type
      - data
      description: A slim representation of a Workflow Sandbox, as it exists within a Folder.
      title: FolderEntityWorkflowSandbox
    FolderEntityDocumentIndexData:
      type: object
      properties:
        id:
          type: string
          format: uuid
        label:
          type: string
        created:
          type: string
          format: date-time
        modified:
          type: string
          format: date-time
        status:
          $ref: '#/components/schemas/EntityStatus'
        indexing_config:
          $ref: '#/components/schemas/DocumentIndexIndexingConfig'
      required:
      - id
      - label
      - created
      - modified
      - status
      - indexing_config
      title: FolderEntityDocumentIndexData
    WorkflowSandboxDisplayData:
      type: object
      properties:
        icon:
          oneOf:
          - $ref: '#/components/schemas/WorkflowDisplayIcon'
          - type: 'null'
          description: The icon associated with this Workflow Sandbox.
      description: Information used to display this Workflow Sandbox.
      title: WorkflowSandboxDisplayData
    gemini-embedding-001Enum:
      type: string
      enum:
      - gemini-embedding-001
      title: gemini-embedding-001Enum
    FolderEntityDataset:
      type: object
      properties:
        id:
          type: string
          format: uuid
        type:
          $ref: '#/components/schemas/DatasetEnum'
        data:
          $ref: '#/components/schemas/FolderEntityDatasetData'
      required:
      - id
      - type
      - data
      description: A slim representation of a Dataset, as it exists within a Folder.
      title: FolderEntityDataset
    folder-entities_add_entity_to_folder_Response_200:
      type: object
      properties: {}
      description: Empty response body
      title: folder-entities_add_entity_to_folder_Response_200
    FolderEntityTestSuiteData:
      type: object
      properties:
        id:
          type: string
          format: uuid
        label:
          type: string
        created:
          type: string
          format: date-time
        modified:
          type: string
          format: date-time
        status:
          $ref: '#/components/schemas/EntityStatus'
      required:
      - id
      - label
      - created
      - modified
      - status
      title: FolderEntityTestSuiteData
    BasicVectorizerIntfloatMultilingualE5Large:
      type: object
      properties:
        config:
          type:
          - object
          - 'null'
          additionalProperties:
            description: Any type
        model_name:
          $ref: '#/components/schemas/intfloat-multilingual-e5-largeEnum'
      required:
      - model_name
      description: Basic vectorizer for intfloat/multilingual-e5-large.
      title: BasicVectorizerIntfloatMultilingualE5Large
    delimiter-chunkerEnum:
      type: string
      enum:
      - delimiter-chunker
      title: delimiter-chunkerEnum
    text-embedding-ada-002Enum:
      type: string
      enum:
      - text-embedding-ada-002
      title: text-embedding-ada-002Enum
    IndexingConfigVectorizer:
      oneOf:
      - $ref: '#/components/schemas/OpenAIVectorizerTextEmbedding3Small'
      - $ref: '#/components/schemas/OpenAIVectorizerTextEmbedding3Large'
      - $ref: '#/components/schemas/OpenAIVectorizerTextEmbeddingAda002'
      - $ref: '#/components/schemas/BasicVectorizerIntfloatMultilingualE5Large'
      - $ref: '#/components/schemas/BasicVectorizerSentenceTransformersMultiQaMpnetBaseCosV1'
      - $ref: '#/components/schemas/BasicVectorizerSentenceTransformersMultiQaMpnetBaseDotV1'
      - $ref: '#/components/schemas/HkunlpInstructorXlVectorizer'
      - $ref: '#/components/schemas/GoogleVertexAIVectorizerTextEmbedding004'
      - $ref: '#/components/schemas/GoogleVertexAIVectorizerTextMultilingualEmbedding002'
      - $ref: '#/components/schemas/GoogleVertexAIVectorizerGeminiEmbedding001'
      - $ref: '#/components/schemas/FastEmbedVectorizerBAAIBgeSmallEnV15'
      - $ref: '#/components/schemas/PrivateVectorizer'
      title: IndexingConfigVectorizer
    BasicVectorizerSentenceTransformersMultiQaMpnetBaseCosV1:
      type: object
      properties:
        config:
          type:
          - object
          - 'null'
          additionalProperties:
            description: Any type
        model_name:
          $ref: '#/components/schemas/sentence-transformers-multi-qa-mpnet-base-cos-v1Enum'
      required:
      - model_name
      description: Basic vectorizer for sentence-transformers/multi-qa-mpnet-base-cos-v1.
      title: BasicVectorizerSentenceTransformersMultiQaMpnetBaseCosV1
    text-embedding-3-smallEnum:
      type: string
      enum:
      - text-embedding-3-small
      title: text-embedding-3-smallEnum
    OpenAIVectorizerTextEmbeddingAda002:
      type: object
      properties:
        config:
          $ref: '#/components/schemas/OpenAIVectorizerConfig'
        model_name:
          $ref: '#/components/schemas/text-embedding-ada-002Enum'
      required:
      - config
      - model_name
      description: OpenAI vectorizer for text-embedding-ada-002.
      title: OpenAIVectorizerTextEmbeddingAda002
    sentence-transformers-multi-qa-mpnet-base-dot-v1Enum:
      type: string
      enum:
      - sentence-transformers/multi-qa-mpnet-base-dot-v1
      title: sentence-transformers-multi-qa-mpnet-base-dot-v1Enum
    PromptSandboxEnum:
      type: string
      enum:
      - PROMPT_SANDBOX
      title: PromptSandboxEnum
    ReductoChunkerConfig:
      type: object
      properties:
        character_limit:
          type: integer
          default: 1000
      description: Configuration for Reducto chunking
      title: ReductoChunkerConfig
    FolderEntityFolderData:
      type: object
      properties:
        id:
          type: string
          format: uuid
        label:
          type: string
        created:
          type: string
          format: date-time
        modified:
          type: string
          format: date-time
        has_contents:
          type: boolean
      required:
      - id
      - label
      - created
      - modified
      - has_contents
      title: FolderEntityFolderData
    FolderEntityPromptSandboxData:
      type: object
      properties:
        id:
          type: string
          format: uuid
        label:
          type: string
        created:
          type: string
          format: date-time
        modified:
          type: string
          format: date-time
        status:
          $ref: '#/components/schemas/EntityStatus'
        description:
          type:
          - string
          - 'null'
        last_deployed_on:
          type:
          - string
          - 'null'
          format: date-time
      required:
      - id
      - label
      - created
      - modified
      - status
      title: FolderEntityPromptSandboxData
    DatasetEnum:
      type: string
      enum:
      - DATASET
      title: DatasetEnum
    GoogleVertexAIVectorizerGeminiEmbedding001:
      type: object
      properties:
        model_name:
          $ref: '#/components/schemas/gemini-embedding-001Enum'
        config:
          $ref: '#/components/schemas/GoogleVertexAIVectorizerConfig'
      required:
      - model_name
      - config
      title: GoogleVertexAIVectorizerGeminiEmbedding001
    FolderEntityDatasetData:
      type: object
      properties:
        id:
          type: string
          format: uuid
        label:
          type: string
        name:
          type: string
        description:
          type:
          - string
          - 'null'
        created:
          type: string
          format: date-time
        modified:
          type: string
          format: date-time
      required:
      - id
      - label
      - name
      - created
      - modified
      title: FolderEntityDatasetData
    DelimiterChunking:
      type: object
      properties:
        chunker_name:
          $ref: '#/components/schemas/delimiter-chunkerEnum'
        chunker_config:
          $ref: '#/components/schemas/DelimiterChunkerConfig'
      required:
      - chunker_name
      title: DelimiterChunking
    sentence-transformers-multi-qa-mpnet-base-cos-v1Enum:
      type: string
      enum:
      - sentence-transformers/multi-qa-mpnet-base-cos-v1
      title: sentence-transformers-multi-qa-mpnet-base-cos-v1Enum
    text-multilingual-embedding-002Enum:
      type: string
      enum:
      - text-multilingual-embedding-002
      title: text-multilingual-embedding-002Enum
    TokenOverlappingWindowChunking:
      type: object
      properties:
        chunker_name:
          $ref: '#/components/schemas/token-overlapping-window-chunkerEnum'
        chunker_config:
          $ref: '#/components/schemas/TokenOverlappingWindowChunkerConfig'
      required:
      - chunker_name
      description: Token overlapping window chunking
      title: TokenOverlappingWindowChunking
    token-overlapping-window-chunkerEnum:
      type: string
      enum:
      - token-overlapping-window-chunker
      title: token-overlapping-window-chunkerEnum
    BasicVectorizerSentenceTransformersMultiQaMpnetBaseDotV1:
      type: object
      properties:
        model_name:
          $ref: '#/components/schemas/sentence-transformers-multi-qa-mpnet-base-dot-v1Enum'
        config:
          type:
          - object
          - 'null'
          additionalProperties:
            description: Any type
      required:
      - model_name
      description: Basic vectorizer for sentence-transformers/multi-qa-mpnet-base-dot-v1.
      title: BasicVectorizerSentenceTransformersMultiQaMpnetBaseDotV1
    OpenAIVectorizerConfig:
      type: object
      properties:
        add_openai_api_key:
          $ref: '#/components/schemas/AddOpenaiApiKeyEnum'
      description: Configuration for using an OpenAI vectorizer.
      title: OpenAIVectorizerConfig
    DocumentIndexIndexingConfig:
      type: object
      properties:
        vectorizer:
          $ref: '#/components/schemas/IndexingConfigVectorizer'
        chunking:
          oneOf:
          - $ref: '#/components/schemas/DocumentIndexChunking'
          - type: 'null'
      required:
      - vectorizer
      title: DocumentIndexIndexingConfig
    PrivateVectorizer:
      type: object
      properties:
        model_name:
          $ref: '#/components/schemas/private-vectorizerEnum'
      required:
      - model_name
      description: Serializer for private vectorizer.
      title: PrivateVectorizer
    GoogleVertexAIVectorizerTextEmbedding004:
      type: object
      properties:
        model_name:
          $ref: '#/components/schemas/text-embedding-004Enum'
        config:
          $ref: '#/components/schemas/GoogleVertexAIVectorizerConfig'
      required:
      - model_name
      - config
      title: GoogleVertexAIVectorizerTextEmbedding004
    AddOpenaiApiKeyEnum:
      type: boolean
      description: '* `True` - True'
      title: AddOpenaiApiKeyEnum
    private-vectorizerEnum:
      type: string
      enum:
      - private-vectorizer
      title: private-vectorizerEnum
    GoogleVertexAIVectorizerConfig:
      type: object
      properties:
        project_id:
          type: string
        region:
          type: string
      required:
      - project_id
      - region
      title: GoogleVertexAIVectorizerConfig
    reducto-chunkerEnum:
      type: string
      enum:
      - reducto-chunker
      title: reducto-chunkerEnum
    GoogleVertexAIVectorizerTextMultilingualEmbedding002:
      type: object
      properties:
        model_name:
          $ref: '#/components/schemas/text-multilingual-embedding-002Enum'
        config:
          $ref: '#/components/schemas/GoogleVertexAIVectorizerConfig'
      required:
      - model_name
      - config
      title: GoogleVertexAIVectorizerTextMultilingualEmbedding002
    DelimiterChunkerConfig:
      type: object
      properties:
        delimiter:
          type: string
          default: \n\n
        is_regex:
          type: boolean
          default: false
      title: DelimiterChunkerConfig
    SentenceChunking:
      type: object
      properties:
        chunker_name:
          $ref: '#/components/schemas/sentence-chunkerEnum'
        chunker_config:
          $ref: '#/components/schemas/SentenceChunkerConfig'
      required:
      - chunker_name
      description: Sentence chunking
      title: SentenceChunking
    FolderEntityTestSuite:
      type: object
      properties:
        id:
          type: string
          format: uuid
        type:
          $ref: '#/components/schemas/TestSuiteEnum'
        data:
          $ref: '#/components/schemas/FolderEntityTestSuiteData'
      required:
      - id
      - type
      - data
      description: A slim representation of a Test Suite, as it exists within a Folder.
      title: FolderEntityTestSuite
    text-embedding-3-largeEnum:
      type: string
      enum:
      - text-embedding-3-large
      title: text-embedding-3-largeEnum
    FolderEntityDocumentIndex:
      type: object
      properties:
        id:
          type: string
          format: uuid
        type:
          $ref: '#/components/schemas/DocumentIndexEnum'
        data:
          $ref: '#/components/schemas/FolderEntityDocumentIndexData'
      required:
      - id
      - type
      - data
      description: A slim representation of a Document Index, as it exists within a Folder.
      title: FolderEntityDocumentIndex
    OpenAIVectorizerTextEmbedding3Large:
      type: object
      properties:
        config:
          $ref: '#/components/schemas/OpenAIVectorizerConfig'
        model_name:
          $ref: '#/components/schemas/text-embedding-3-largeEnum'
      required:
      - config
      - model_name
      description: OpenAI vectorizer for text-embedding-3-large.
      title: OpenAIVectorizerTextEmbedding3Large
    FolderEntity:
      oneOf:
      - $ref: '#/components/schemas/FolderEntityFolder'
      - $ref: '#/components/schemas/FolderEntityPromptSandbox'
      - $ref: '#/components/schemas/FolderEntityWorkflowSandbox'
      - $ref: '#/components/schemas/FolderEntityDocumentIndex'
      - $ref: '#/components/schemas/FolderEntityTestSuite'
      - $ref: '#/components/schemas/FolderEntityDataset'
      title: FolderEntity
    DocumentIndexEnum:
      type: string
      enum:
      - DOCUMENT_INDEX
      title: DocumentIndexEnum
    FolderEnum:
      type: string
      enum:
      - FOLDER
      title: FolderEnum
    hkunlp-instructor-xlEnum:
      type: string
      enum:
      - hkunlp/instructor-xl
      title: hkunlp-instructor-xlEnum
    text-embedding-004Enum:
      type: string
      enum:
      - text-embedding-004
      title: text-embedding-004Enum
    FolderEntityPromptSandbox:
      type: object
      properties:
        id:
          type: string
          format: uuid
        type:
          $ref: '#/components/schemas/PromptSandboxEnum'
        data:
          $ref: '#/components/schemas/FolderEntityPromptSandboxData'
      required:
      - id
      - type
      - data
      description: A slim representation of a Prompt Sandbox, as it exists within a Folder.
      title: FolderEntityPromptSandbox
    baai-bge-small-en-v1.5Enum:
      type: string
      enum:
      - BAAI/bge-small-en-v1.5
      title: baai-bge-small-en-v1.5Enum
    ReductoChunking:
      type: object
      properties:
        chunker_name:
          $ref: '#/components/schemas/reducto-chunkerEnum'
        chunker_config:
          $ref: '#/components/schemas/ReductoChunkerConfig'
      required:
      - chunker_name
      description: Reducto chunking
      title: ReductoChunking
    TestSuiteEnum:
      type: string
      enum:
      - TEST_SUITE
      title: TestSuiteEnum
    WorkflowSandboxEnum:
      type: string
      enum:
      - WORKFLOW_SANDBOX
      title: WorkflowSandboxEnum
    V1FolderEntitiesGetParametersEntityStatus:
      type: string
      enum:
      - ACTIVE
      - ARCHIVED
      - PENDING_DELETION
      title: V1FolderEntitiesGetParametersEntityStatus
    DocumentIndexChunking:
      oneOf:
      - $ref: '#/components/schemas/ReductoChunking'
      - $ref: '#/components/schemas/SentenceChunking'
      - $ref: '#/components/schemas/TokenOverlappingWindowChunking'
      - $ref: '#/components/schemas/DelimiterChunking'
      title: DocumentIndexChunking
    intfloat-multilingual-e5-largeEnum:
      type: string
      enum:
      - intfloat/multilingual-e5-large
      title: intfloat-multilingual-e5-largeEnum
    OpenAIVectorizerTextEmbedding3Small:
      type: object
      properties:
        config:
          $ref: '#/components/schemas/OpenAIVectorizerConfig'
        model_name:
          $ref: '#/components/schemas/text-embedding-3-smallEnum'
      required:
      - config
      - model_name
      description: OpenAI vectorizer for text-embedding-3-small.
      title: OpenAIVectorizerTextEmbedding3Small
    TokenOverlappingWindowChunkerConfig:
      type: object
      properties:
        token_limit:
          type: integer
          default: 250
        overlap_ratio:
          type: number
          format: double
          default: 0.5
      description: Configuration for token overlapping window chunking
      title: TokenOverlappingWindowChunkerConfig
    AddEntityToFolderRequest:
      type: object
      properties:
        entity_id:
          type: string
          format: uuid
          description: The ID of the entity you would like to move.
      required:
      - entity_id
      title: AddEntityToFolderRequest
    HkunlpInstructorXlVectorizer:
      type: object
      properties:
        model_name:
          $ref: '#/components/schemas/hkunlp-instructor-xlEnum'
        config:
          $ref: '#/components/schemas/InstructorVectorizerConfig'
      required:
      - model_name
      - config
      description: Vectorizer for hkunlp/instructor-xl.
      title: HkunlpInstructorXlVectorizer
    FolderEntityWorkflowSandboxData:
      type: object
      properties:
        id:
          type: string
          format: uuid
        label:
          type: string
        created:
          type: string
          format: date-time
        modified:
          type: string
          format: date-time
        status:
          $ref: '#/components/schemas/EntityStatus'
        description:
          type:
          - string
          - 'null'
        last_deployed_on:
          type:
          - string
          - 'null'
          format: date-time
        display_data:
          oneOf:
          - $ref: '#/components/schemas/WorkflowSandboxDisplayData'
          - type: 'null'
      required:
      - id
      - label
      - created
      - modified
      - status
      - display_data
      title: FolderEntityWorkflowSandboxData
    EntityStatus:
      type: string
      enum:
      - ACTIVE
      - ARCHIVED
      - PENDING_DELETION
      description: '* `ACTIVE` - Active

        * `ARCHIVED` - Archived

        * `PENDING_DELETION` - Pending Deletion'
      title: EntityStatus
    FolderEntityFolder:
      type: object
      properties:
        id:
          type: string
          format: uuid
        type:
          $ref: '#/components/schemas/FolderEnum'
        data:
          $ref: '#/components/schemas/FolderEntityFolderData'
      required:
      - id
      - type
      - data
      description: A slim representation of a Folder, as it exists within another Folder.
      title: FolderEntityFolder
    WorkflowDisplayIcon:
      type: object
      properties:
        src:
          type:
          - string
          - 'null'
        color:
          type:
          - string
          - 'null'
      description: Icon to be used alongside a Workflow
      title: WorkflowDisplayIcon
    InstructorVectorizerConfig:
      type: object
      properties:
        instruction_domain:
          type: string
        instruction_query_text_type:
          type: string
        instruction_document_text_type:
          type: string
      required:
      - instruction_domain
      - instruction_query_text_type
      - instruction_document_text_type
      description: Configuration for using an Instructor vectorizer.
      title: InstructorVectorizerConfig
    PaginatedFolderEntityList:
      type: object
      properties:
        count:
          type: integer
        next:
          type:
          - string
          - 'null'
          format: uri
        previous:
          type:
          - string
          - 'null'
          format: uri
        results:
          type: array
          items:
            $ref: '#/components/schemas/FolderEntity'
      title: PaginatedFolderEntityList
    SentenceChunkerConfig:
      type: object
      properties:
        character_limit:
          type: integer
          default: 1000
        min_overlap_ratio:
          type: number
          format: double
          default: 0.5
      description: Configuration for sentence chunking
      title: SentenceChunkerConfig
  securitySchemes:
    default:
      type: apiKey
      in: header
      name: X-API-KEY