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Vellum AI

Vellum AI Subpackage Folder Entities API

The subpackage_folderEntities API from Vellum AI — 2 operation(s) for subpackage_folderentities.

Documentation Provider Profile APIs.io OpenAPI GitHub

Vellum AI Subpackage Folder Entities API is one of 23 APIs that Vellum AI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include subpackage_folderEntities. The published artifact set on APIs.io includes an OpenAPI specification.

This API exposes 2 operations across 2 paths, and defines 69 schemas. It is described by OpenAPI 3.2.0, at version 1.0.0.

Requests are made against 3 base URLs: https://predict.vellum.ai, https://api.vellum.ai, https://documents.vellum.ai.

2 operations 2 paths 69 schemas 1 GET1 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
1.0.0
Base URL
https://api.vellum.ai
Authentication
API Key
Resource Areas
1

Authentication & Security 1

Vellum AI Subpackage Folder Entities API declares 1 security scheme for authenticating requests. An API key is passed in the header as X-API-KEY (default).

Paths & Operations 2

Across 2 paths, the API surfaces 2 operations — 1 GET, 1 POST. Each is listed below with its method, path, parameters, and response codes.

subpackage_folderEntities 2
POST
/v1/folders/{folder_id}/add-entity
Add Entity To Folder
add-entity-to-folder 3 params body → 200
GET
/v1/folder-entities
List
list 7 params → 200

Schemas 69

The contract defines 69 schemas that model the data the API accepts and returns. The most detailed are FolderEntityWorkflowSandboxData (8 properties), FolderEntityPromptSandboxData (7 properties), FolderEntityDatasetData (6 properties), FolderEntityDocumentIndexData (6 properties). Each schema is shown below with its type and property counts.

intfloat-multilingual-e5-largeEnum
string
BasicVectorizerIntfloatMultilingualE5Large
object
Basic vectorizer for intfloat/multilingual-e5-large.
2 properties 1 required
text-embedding-ada-002Enum
string
gemini-embedding-001Enum
string
reducto-chunkerEnum
string
FolderEntityWorkflowSandbox
object
A slim representation of a Workflow Sandbox, as it exists within a Folder.
3 properties 3 required
PromptSandboxEnum
string
FolderEntityDataset
object
A slim representation of a Dataset, as it exists within a Folder.
3 properties 3 required
FolderEntity
GoogleVertexAIVectorizerConfig
object
2 properties 2 required
text-embedding-004Enum
string
GoogleVertexAIVectorizerTextMultilingualEmbedding002
object
2 properties 2 required
AddOpenaiApiKeyEnum
boolean
True - True
folder-entities_add_entity_to_folder_Response_200
object
Empty response body
TestSuiteEnum
string
IndexingConfigVectorizer
GoogleVertexAIVectorizerGeminiEmbedding001
object
2 properties 2 required
OpenAIVectorizerTextEmbedding3Large
object
OpenAI vectorizer for text-embedding-3-large.
2 properties 2 required
BasicVectorizerSentenceTransformersMultiQaMpnetBaseDotV1
object
Basic vectorizer for sentence-transformers/multi-qa-mpnet-base-dot-v1.
2 properties 1 required
sentence-transformers-multi-qa-mpnet-base-cos-v1Enum
string
private-vectorizerEnum
string
DelimiterChunking
object
2 properties 1 required
FolderEntityWorkflowSandboxData
object
8 properties 6 required
sentence-transformers-multi-qa-mpnet-base-dot-v1Enum
string
PrivateVectorizer
object
Serializer for private vectorizer.
1 property 1 required
FolderEntityFolder
object
A slim representation of a Folder, as it exists within another Folder.
3 properties 3 required
FolderEntityDatasetData
object
6 properties 5 required
BasicVectorizerSentenceTransformersMultiQaMpnetBaseCosV1
object
Basic vectorizer for sentence-transformers/multi-qa-mpnet-base-cos-v1.
2 properties 1 required
WorkflowSandboxDisplayData
object
Information used to display this Workflow Sandbox.
1 property
OpenAIVectorizerTextEmbedding3Small
object
OpenAI vectorizer for text-embedding-3-small.
2 properties 2 required
SentenceChunkerConfig
object
Configuration for sentence chunking
2 properties
GoogleVertexAIVectorizerTextEmbedding004
object
2 properties 2 required
TokenOverlappingWindowChunkerConfig
object
Configuration for token overlapping window chunking
2 properties
hkunlp-instructor-xlEnum
string
DocumentIndexChunking
SentenceChunking
object
Sentence chunking
2 properties 1 required
WorkflowDisplayIcon
object
Icon to be used alongside a Workflow
2 properties
token-overlapping-window-chunkerEnum
string
FolderEntityPromptSandbox
object
A slim representation of a Prompt Sandbox, as it exists within a Folder.
3 properties 3 required
OpenAIVectorizerTextEmbeddingAda002
object
OpenAI vectorizer for text-embedding-ada-002.
2 properties 2 required
DatasetEnum
string
AddEntityToFolderRequest
object
1 property 1 required
FolderEntityDocumentIndexData
object
6 properties 6 required
text-embedding-3-smallEnum
string
FolderEntityPromptSandboxData
object
7 properties 5 required
text-multilingual-embedding-002Enum
string
FolderEntityTestSuite
object
A slim representation of a Test Suite, as it exists within a Folder.
3 properties 3 required
baai-bge-small-en-v1.5Enum
string
DelimiterChunkerConfig
object
2 properties
delimiter-chunkerEnum
string
FastEmbedVectorizerBAAIBgeSmallEnV15
object
FastEmbed vectorizer for BAAI/bge-small-en-v1.5.
1 property 1 required
WorkflowSandboxEnum
string
HkunlpInstructorXlVectorizer
object
Vectorizer for hkunlp/instructor-xl.
2 properties 2 required
FolderEntityTestSuiteData
object
5 properties 5 required
V1FolderEntitiesGetParametersEntityStatus
string
PaginatedFolderEntityList
object
4 properties
FolderEntityDocumentIndex
object
A slim representation of a Document Index, as it exists within a Folder.
3 properties 3 required
InstructorVectorizerConfig
object
Configuration for using an Instructor vectorizer.
3 properties 3 required
text-embedding-3-largeEnum
string
sentence-chunkerEnum
string
ReductoChunkerConfig
object
Configuration for Reducto chunking
1 property
DocumentIndexIndexingConfig
object
2 properties 1 required
ReductoChunking
object
Reducto chunking
2 properties 1 required
FolderEnum
string
FolderEntityFolderData
object
5 properties 5 required
OpenAIVectorizerConfig
object
Configuration for using an OpenAI vectorizer.
1 property
TokenOverlappingWindowChunking
object
Token overlapping window chunking
2 properties 1 required
EntityStatus
string
ACTIVE - Active ARCHIVED - Archived PENDINGDELETION - Pending Deletion
DocumentIndexEnum
string

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

vellum-subpackage-folderentities-api-openapi.yml Raw ↑

Other APIs Vellum AI publishes across the network.

Vellum LLM Platform API
AE Profile APIs.io
Vellum AI Subpackage Deployments API
AE Profile APIs.io
Vellum AI Subpackage Document Indexes API
AE Profile APIs.io
Vellum AI Subpackage Documents API
AE Profile APIs.io
Vellum AI Subpackage Events API
AE Profile APIs.io
Vellum AI Subpackage Sandboxes API
AE Profile APIs.io
Vellum AI Subpackage Test Suite Runs API
AE Profile APIs.io
Vellum AI Subpackage Test Suites API
AE Profile APIs.io
Vellum AI Subpackage Uploaded Files API
AE Profile APIs.io
Vellum AI Subpackage Workflow Deployments API
AE Profile APIs.io
Vellum AI Subpackage Workflow Executions API
AE Profile APIs.io
Vellum AI Subpackage Workflows API
AE Profile APIs.io
#subpackage_folderEntities
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API Details
ID
vellum:vellum-subpackage-folderentities-api
Base URL
https://api.vellum.ai
Docs
https://docs.vellum.ai
Provider
Vellum AI
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