Altimate AI Databricks AI/ML Services API
The Databricks AI/ML Services API from Altimate AI — 8 operation(s) for databricks ai/ml services.
OpenAPI Specification
openapi: 3.1.0
info:
title: Fast ACCOUNT_COSTS Databricks AI/ML Services API
version: 0.1.0
tags:
- name: Databricks AI/ML Services
paths:
/api/v1/databricks/ai-ml-services/summary:
get:
tags:
- Databricks AI/ML Services
summary: Get AI/ML services summary with trend data
description: 'Get AI/ML services summary with trend data.
Returns trend data for:
- Model Serving (DBUs and costs)
- Vector Search (DBUs and costs)
- AI Gateway (DBUs and costs)
Data is aggregated by the specified granularity (day, week, or month).
Frontend calculates totals by summing the trend data.
Query Parameters:
- start_date: Start date (YYYY-MM-DD), defaults to 30 days ago
- end_date: End date (YYYY-MM-DD), defaults to today
- granularity: Time granularity (''day'', ''week'', ''month''), defaults to ''day''
- workspace_id: Comma-separated workspace IDs or ''all'' (default)
Returns:
- Array of data points with DBUs and costs per service, aggregated by granularity'
operationId: get_aiml_services_summary_api_v1_databricks_ai_ml_services_summary_get
security:
- HTTPBearer: []
- HTTPBearer: []
parameters:
- name: start_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: Start date (YYYY-MM-DD), defaults to 30 days ago
title: Start Date
description: Start date (YYYY-MM-DD), defaults to 30 days ago
- name: end_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: End date (YYYY-MM-DD), defaults to today
title: End Date
description: End date (YYYY-MM-DD), defaults to today
- name: granularity
in: query
required: false
schema:
type: string
description: 'Time granularity: ''day'', ''week'', or ''month'''
default: day
title: Granularity
description: 'Time granularity: ''day'', ''week'', or ''month'''
- name: workspace_id
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
description: Comma-separated workspace IDs to filter, or 'all'
title: Workspace Id
description: Comma-separated workspace IDs to filter, or 'all'
- name: navigationSource
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
title: Navigationsource
- name: x-tenant
in: header
required: true
schema:
type: string
title: X-Tenant
responses:
'200':
description: Successful Response
content:
application/json:
schema:
type: array
items:
$ref: '#/components/schemas/AIMLServicesTrendPoint'
title: Response Get Aiml Services Summary Api V1 Databricks Ai Ml Services Summary Get
'403':
description: Not authorized
'404':
description: Resource not found
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
/api/v1/databricks/ai-ml-services/endpoints:
get:
tags:
- Databricks AI/ML Services
summary: Get unified list of AI/ML endpoints (Model Serving + Vector Search + AI Gateway)
description: "Get a unified list of AI/ML endpoints for the dashboard table.\n\nEach row carries:\n\n- ``service`` — routing discriminator ('model_serving' | 'vector_search' |\n 'ai_gateway'). Used by the FE to pick the detail page on row-click; **not**\n a filter input. The legacy ``service`` query param was intentionally\n dropped (commit ad00d32) — it is no longer read here, so a stray\n ``?service=...`` is ignored rather than filtering. Use ``entity_type``\n to narrow rows.\n- ``entity_type`` — leaf type rendered in the Type column / filtered on\n via the ``entity_type`` query param.\n\nFields that don't apply to a row's service are null. Pagination is applied\nover the merged result set so the top spenders surface first.\n\nQuery Parameters:\n\n- entity_type: comma-separated leaf entity_type values (optional)\n- endpoint_name: exact endpoint name(s), repeatable, any-of match (optional)\n- start_date: Start date (YYYY-MM-DD), defaults to 30 days ago\n- end_date: End date (YYYY-MM-DD), defaults to today\n- workspace_id: Comma-separated workspace IDs or 'all' (default)\n- limit: Max rows to return (default: 50, max: 1000)\n- offset: Pagination offset (default: 0)\n- sort_by: see above\n- sort_order: 'asc' | 'desc' (default: 'desc')"
operationId: get_model_serving_endpoints_api_v1_databricks_ai_ml_services_endpoints_get
security:
- HTTPBearer: []
- HTTPBearer: []
parameters:
- name: entity_type
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
description: Comma-separated leaf entity_types to filter the rows. One of FOUNDATION_MODEL, CUSTOM_MODEL, AI_FUNCTION, EXTERNAL_MODEL, FEATURE_SPEC, VECTOR_SEARCH, AI_GATEWAY. Omit to return all rows.
title: Entity Type
description: Comma-separated leaf entity_types to filter the rows. One of FOUNDATION_MODEL, CUSTOM_MODEL, AI_FUNCTION, EXTERNAL_MODEL, FEATURE_SPEC, VECTOR_SEARCH, AI_GATEWAY. Omit to return all rows.
- name: endpoint_name
in: query
required: false
schema:
anyOf:
- type: array
items:
type: string
- type: 'null'
description: Exact endpoint name(s) to filter the rows (any-of match). Repeat the param for multiple names. Names are sourced from GET /ai-ml-services/endpoints/filters/names. Omit to return all rows.
title: Endpoint Name
description: Exact endpoint name(s) to filter the rows (any-of match). Repeat the param for multiple names. Names are sourced from GET /ai-ml-services/endpoints/filters/names. Omit to return all rows.
- name: start_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: Start date (YYYY-MM-DD), defaults to 30 days ago
title: Start Date
description: Start date (YYYY-MM-DD), defaults to 30 days ago
- name: end_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: End date (YYYY-MM-DD), defaults to today
title: End Date
description: End date (YYYY-MM-DD), defaults to today
- name: workspace_id
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
description: Comma-separated workspace IDs to filter
title: Workspace Id
description: Comma-separated workspace IDs to filter
- name: limit
in: query
required: false
schema:
type: integer
maximum: 1000
minimum: 1
description: Max rows to return
default: 50
title: Limit
description: Max rows to return
- name: offset
in: query
required: false
schema:
type: integer
minimum: 0
description: Pagination offset
default: 0
title: Offset
description: Pagination offset
- name: sort_by
in: query
required: false
schema:
type: string
description: 'Sort field: ''endpoint_name'' | ''total_cost_usd'' | ''total_dbus'' | ''service'' | ''entity_type'''
default: total_cost_usd
title: Sort By
description: 'Sort field: ''endpoint_name'' | ''total_cost_usd'' | ''total_dbus'' | ''service'' | ''entity_type'''
- name: sort_order
in: query
required: false
schema:
type: string
description: 'Sort order: ''asc'' or ''desc'''
default: desc
title: Sort Order
description: 'Sort order: ''asc'' or ''desc'''
- name: navigationSource
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
title: Navigationsource
- name: x-tenant
in: header
required: true
schema:
type: string
title: X-Tenant
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/UnifiedAIMLEndpointsListResponse'
'403':
description: Not authorized
'404':
description: Resource not found
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
/api/v1/databricks/ai-ml-services/endpoints/filters:
get:
tags:
- Databricks AI/ML Services
summary: Get filter values for the unified AI/ML endpoints list
description: "Return discrete values for the filters the list endpoint accepts.\n\nFilterable fields on ``GET /ai-ml-services/endpoints`` are:\n- ``entity_type`` — comma-separated leaf entity_type values (the seven\n types in ``_UNIFIED_VALID_ENTITY_TYPES``). The returned ``entity_types``\n lists only the leaves that actually appear on rows in the window.\n- ``workspace_id`` — distinct workspace IDs with AI/ML traffic in the\n window.\n- ``start_date`` / ``end_date`` — free-form date range, not enumerable; the\n caller passes the same window in here so both lists are scoped to it.\n- ``endpoint_name`` — exact name filter on the list endpoint. Its values are\n too numerous to enumerate up front, so they are served separately by the\n searchable, paginated ``GET /ai-ml-services/endpoints/filters/names`` rather than\n inlined here.\n\nNote: ``service`` is a row-level routing discriminator, not a filter\ninput, so it is intentionally absent from this response."
operationId: get_aiml_endpoint_filters_api_v1_databricks_ai_ml_services_endpoints_filters_get
security:
- HTTPBearer: []
- HTTPBearer: []
parameters:
- name: start_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: Start date (YYYY-MM-DD), defaults to 30 days ago
title: Start Date
description: Start date (YYYY-MM-DD), defaults to 30 days ago
- name: end_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: End date (YYYY-MM-DD), defaults to today
title: End Date
description: End date (YYYY-MM-DD), defaults to today
- name: navigationSource
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
title: Navigationsource
- name: x-tenant
in: header
required: true
schema:
type: string
title: X-Tenant
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/AIMLEndpointsFilterOptions'
'403':
description: Not authorized
'404':
description: Resource not found
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
/api/v1/databricks/ai-ml-services/endpoints/filters/names:
get:
tags:
- Databricks AI/ML Services
summary: Get searchable, paginated endpoint names for the name filter
description: 'Return distinct endpoint names for the name-filter dropdown.
The full name set is too large to ship at once, so the FE searches
server-side and pages through matches. Names are scoped to the same window
(and optional workspace) as the list, so the dropdown never offers a name
that can''t appear on the table.'
operationId: get_aiml_endpoint_names_api_v1_databricks_ai_ml_services_endpoints_filters_names_get
security:
- HTTPBearer: []
- HTTPBearer: []
parameters:
- name: search
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
description: Case-insensitive substring to match endpoint names
title: Search
description: Case-insensitive substring to match endpoint names
- name: start_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: Start date (YYYY-MM-DD), defaults to 30 days ago
title: Start Date
description: Start date (YYYY-MM-DD), defaults to 30 days ago
- name: end_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: End date (YYYY-MM-DD), defaults to today
title: End Date
description: End date (YYYY-MM-DD), defaults to today
- name: workspace_id
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
description: Workspace ID to scope names to
title: Workspace Id
description: Workspace ID to scope names to
- name: page
in: query
required: false
schema:
type: integer
minimum: 1
description: Page number (1-indexed)
default: 1
title: Page
description: Page number (1-indexed)
- name: size
in: query
required: false
schema:
type: integer
maximum: 100
minimum: 1
description: Items per page
default: 20
title: Size
description: Items per page
- name: navigationSource
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
title: Navigationsource
- name: x-tenant
in: header
required: true
schema:
type: string
title: X-Tenant
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/AIMLEndpointNamesResponse'
'403':
description: Not authorized
'404':
description: Resource not found
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
/api/v1/databricks/ai-ml-services/endpoints/{endpoint_name}:
get:
tags:
- Databricks AI/ML Services
summary: Get endpoint detail (Model Serving, Vector Search or AI Gateway)
description: 'Get detailed metrics for a specific endpoint.
Path Parameters:
- endpoint_name: Endpoint name (required)
Query Parameters:
- service: ''model_serving'' | ''vector_search'' | ''ai_gateway'' (required)
- start_date: Start date (YYYY-MM-DD), defaults to 30 days ago
- end_date: End date (YYYY-MM-DD), defaults to today
Returns detailed metrics shaped per service. AI Gateway detail mirrors
Vector Search (cost / DBUs / activity window) plus first_seen and
last_activity; no per-request or token counts.'
operationId: get_endpoint_detail_api_v1_databricks_ai_ml_services_endpoints__endpoint_name__get
security:
- HTTPBearer: []
- HTTPBearer: []
parameters:
- name: endpoint_name
in: path
required: true
schema:
type: string
title: Endpoint Name
- name: service
in: query
required: true
schema:
type: string
description: 'Service type: ''model_serving'' | ''vector_search'' | ''ai_gateway'''
title: Service
description: 'Service type: ''model_serving'' | ''vector_search'' | ''ai_gateway'''
- name: start_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: Start date (YYYY-MM-DD), defaults to 30 days ago
title: Start Date
description: Start date (YYYY-MM-DD), defaults to 30 days ago
- name: end_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: End date (YYYY-MM-DD), defaults to today
title: End Date
description: End date (YYYY-MM-DD), defaults to today
- name: navigationSource
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
title: Navigationsource
- name: x-tenant
in: header
required: true
schema:
type: string
title: X-Tenant
responses:
'200':
description: Successful Response
content:
application/json:
schema: {}
'403':
description: Not authorized
'404':
description: Endpoint not found
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
/api/v1/databricks/ai-ml-services/endpoints/{endpoint_name}/trend:
get:
tags:
- Databricks AI/ML Services
summary: Get endpoint trend (Model Serving, Vector Search or AI Gateway)
description: "Get trend data for a specific endpoint.\n\nPath Parameters:\n- endpoint_name: Endpoint name (required)\n\nQuery Parameters:\n- service: 'model_serving' | 'vector_search' | 'ai_gateway' (required)\n- start_date: Start date (YYYY-MM-DD), defaults to 30 days ago\n- end_date: End date (YYYY-MM-DD), defaults to today\n- granularity: 'day', 'week', 'month', or 'auto' (default: auto)\n\nReturns:\n- Array of trend data points (direct array, no wrapper object). For\n Vector Search and AI Gateway this is ``{date, dbus, cost_usd}`` — one\n row per bucket where billing usage exists (no zero-fill)."
operationId: get_endpoint_trend_api_v1_databricks_ai_ml_services_endpoints__endpoint_name__trend_get
security:
- HTTPBearer: []
- HTTPBearer: []
parameters:
- name: endpoint_name
in: path
required: true
schema:
type: string
title: Endpoint Name
- name: service
in: query
required: true
schema:
type: string
description: 'Service type: ''model_serving'' | ''vector_search'' | ''ai_gateway'''
title: Service
description: 'Service type: ''model_serving'' | ''vector_search'' | ''ai_gateway'''
- name: start_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: Start date (YYYY-MM-DD), defaults to 30 days ago
title: Start Date
description: Start date (YYYY-MM-DD), defaults to 30 days ago
- name: end_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: End date (YYYY-MM-DD), defaults to today
title: End Date
description: End date (YYYY-MM-DD), defaults to today
- name: granularity
in: query
required: false
schema:
type: string
description: 'Time granularity: ''day'', ''week'', ''month'', or ''auto'' (auto-detect based on date range)'
default: auto
title: Granularity
description: 'Time granularity: ''day'', ''week'', ''month'', or ''auto'' (auto-detect based on date range)'
- name: navigationSource
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
title: Navigationsource
- name: x-tenant
in: header
required: true
schema:
type: string
title: X-Tenant
responses:
'200':
description: Successful Response
content:
application/json:
schema: {}
'403':
description: Not authorized
'404':
description: Resource not found
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
/api/v1/databricks/ai-ml-services/endpoints/{endpoint_name}/callers:
get:
tags:
- Databricks AI/ML Services
summary: Get jobs/queries calling a model serving endpoint
description: 'Get list of jobs/queries that are calling a model serving endpoint.
This endpoint identifies the source of model serving endpoint calls by analyzing:
- Query history for AI function calls (ai_classify, ai_summarize, etc.)
- Job information from query_source metadata
- Notebook IDs for notebook-based calls
Path Parameters:
- endpoint_name: Endpoint name (required)
Query Parameters:
- start_date: Start date (YYYY-MM-DD), defaults to 30 days ago
- end_date: End date (YYYY-MM-DD), defaults to today
- limit: Max rows to return (default: 50, max: 1000)
- offset: Pagination offset (default: 0)
Returns:
- callers: List of jobs/queries with call frequency metrics
- pagination: Pagination info (total, limit, offset)'
operationId: get_endpoint_callers_api_v1_databricks_ai_ml_services_endpoints__endpoint_name__callers_get
security:
- HTTPBearer: []
- HTTPBearer: []
parameters:
- name: endpoint_name
in: path
required: true
schema:
type: string
title: Endpoint Name
- name: start_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: Start date (YYYY-MM-DD), defaults to 30 days ago
title: Start Date
description: Start date (YYYY-MM-DD), defaults to 30 days ago
- name: end_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: End date (YYYY-MM-DD), defaults to today
title: End Date
description: End date (YYYY-MM-DD), defaults to today
- name: limit
in: query
required: false
schema:
type: integer
maximum: 1000
minimum: 1
description: Max rows to return
default: 50
title: Limit
description: Max rows to return
- name: offset
in: query
required: false
schema:
type: integer
minimum: 0
description: Pagination offset
default: 0
title: Offset
description: Pagination offset
- name: navigationSource
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
title: Navigationsource
- name: x-tenant
in: header
required: true
schema:
type: string
title: X-Tenant
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/EndpointCallersListResponse'
'403':
description: Not authorized
'404':
description: Resource not found
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
/api/v1/databricks/ai-ml-services/endpoints/{endpoint_name}/usage-breakdown:
get:
tags:
- Databricks AI/ML Services
summary: Get AI function usage breakdown by source
description: 'Get usage breakdown for an AI function endpoint.
Shows how the AI function is being invoked: via MV refresh, notebooks,
jobs, SQL queries, DDL, or ad-hoc queries.
Path Parameters:
- endpoint_name: AI function endpoint name (e.g., databricks-ai-summarize)
Query Parameters:
- start_date: Start date (YYYY-MM-DD), defaults to 30 days ago
- end_date: End date (YYYY-MM-DD), defaults to today
Returns:
- usage: List of usage sources with type, identity, request count, and last used'
operationId: get_ai_function_usage_breakdown_api_v1_databricks_ai_ml_services_endpoints__endpoint_name__usage_breakdown_get
security:
- HTTPBearer: []
- HTTPBearer: []
parameters:
- name: endpoint_name
in: path
required: true
schema:
type: string
title: Endpoint Name
- name: start_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: Start date (YYYY-MM-DD), defaults to 30 days ago
title: Start Date
description: Start date (YYYY-MM-DD), defaults to 30 days ago
- name: end_date
in: query
required: false
schema:
anyOf:
- type: string
format: date
- type: 'null'
description: End date (YYYY-MM-DD), defaults to today
title: End Date
description: End date (YYYY-MM-DD), defaults to today
- name: navigationSource
in: query
required: false
schema:
anyOf:
- type: string
- type: 'null'
title: Navigationsource
- name: x-tenant
in: header
required: true
schema:
type: string
title: X-Tenant
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/AIFunctionUsageBreakdownResponse'
'403':
description: Not authorized
'404':
description: Resource not found
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
components:
schemas:
AIMLEndpointsFilterOptions:
properties:
entity_types:
items:
type: string
type: array
title: Entity Types
description: 'Distinct entity_types appearing on rows in the window. Subset of the seven leaf types: FOUNDATION_MODEL, CUSTOM_MODEL, AI_FUNCTION, EXTERNAL_MODEL, FEATURE_SPEC, VECTOR_SEARCH, AI_GATEWAY.'
workspace_ids:
items:
type: string
type: array
title: Workspace Ids
description: Distinct workspace IDs that have AI/ML usage in the window
type: object
title: AIMLEndpointsFilterOptions
description: 'Discrete filter values for the unified AI/ML endpoints list.
Only fields that are actually filterable on ``GET /ai-ml-services/endpoints``
are returned. ``start_date`` / ``end_date`` are a free-form date range and
therefore not enumerable here; the caller still passes them in to scope
``entity_types`` and ``workspace_ids`` to rows with traffic in the window.'
ValidationError:
properties:
loc:
items:
anyOf:
- type: string
- type: integer
type: array
title: Location
msg:
type: string
title: Message
type:
type: string
title: Error Type
type: object
required:
- loc
- msg
- type
title: ValidationError
AIFunctionUsageItem:
properties:
usage_type:
type: string
title: Usage Type
description: 'Type of usage: ''MV Refresh'', ''Notebook'', ''SQL Query'', ''Job'', ''DDL'', ''Ad-hoc'''
usage_identity:
type: string
title: Usage Identity
description: 'Identity of the usage source: MV name, notebook ID, job ID, etc.'
job_name:
anyOf:
- type: string
- type: 'null'
title: Job Name
description: Resolved job name from dbx_job_inventory (for Job type)
executed_by:
anyOf:
- type: string
- type: 'null'
title: Executed By
description: User who executed the query
source_identifier:
anyOf:
- type: string
- type: 'null'
title: Source Identifier
description: 'Best available identifier: statement_id, job_id, notebook_id, etc.'
total_requests:
type: integer
title: Total Requests
description: Total number of invocations
default: 0
days_active:
type: integer
title: Days Active
description: Number of distinct days with activity
default: 0
last_used:
anyOf:
- type: string
- type: 'null'
title: Last Used
description: Most recent invocation timestamp
type: object
required:
- usage_type
- usage_identity
title: AIFunctionUsageItem
description: A usage source for an AI function endpoint.
HTTPValidationError:
properties:
detail:
items:
$ref: '#/components/schemas/ValidationError'
type: array
title: Detail
type: object
title: HTTPValidationError
UnifiedAIMLEndpointsListResponse:
properties:
endpoints:
items:
$ref: '#/components/schemas/UnifiedAIMLEndpointItem'
type: array
title: Endpoints
description: Mixed list of model serving, vector search and AI gateway endpoints
pagination:
$ref: '#/components/schemas/app__schemas__databricks__ai_services__PaginationInfo'
description: Pagination info
type: object
required:
- pagination
title: UnifiedAIMLEndpointsListResponse
description: Response for the unified AI/ML endpoints list.
UnifiedAIMLEndpointItem:
properties:
service:
type: string
title: Service
description: 'Routing discriminator: ''model_serving'' | ''vector_search'' | ''ai_gateway'''
entity_type:
anyOf:
- type: string
- type: 'null'
title: Entity Type
description: Leaf type used for the Type column / filter. One of the five model_serving entity types, 'VECTOR_SEARCH', or 'AI_GATEWAY'. Null when a model_serving endpoint has no served_entities row (rendered as '-' by the FE) — we don't guess a type.
endpoint_name:
type: string
title: Endpoint Name
description: Endpoint name
endpoint_id:
anyOf:
- type: string
- type: 'null'
title: Endpoint Id
des
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