Endpoint

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Get an endpointGET /api/2.0/vector-search/endpoints/{name}List all endpointsGET /api/2.0/vector-search/endpointsCreate an endpointPOST /api/2.0/vector-search/endpointsUpdate the budget policy of an endpointPATCH /api/2.0/vector-search/endpoints/{name}/budget-policyDelete an endpointDELETE /api/2.0/vector-search/endpoints/{name}Update an endpointPATCH /api/2.0/vector-search/endpoints/{name}

Endpoint object

namestring

Name of the AI Search endpoint

Example: docs-endpoint

creatorstring

Creator of the endpoint

Example: john@example.com

creation_timestampint64

Timestamp of endpoint creation

Example: 1702013512061

last_updated_timestampint64

Timestamp of last update to the endpoint

Example: 1702013512061

endpoint_typestring

Type of endpoint

Values:

• STORAGE_OPTIMIZED
• STANDARD

last_updated_userstring

User who last updated the endpoint

Example: john@example.com

idstring

Unique identifier of the endpoint

Example: c56bf0a9-4929-4bd4-8bd5-d82ca62f9c76

endpoint_statusobject

Current status of the endpoint

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statestring

Current state of the endpoint

Values:

• PROVISIONING
• ONLINE
• OFFLINE
• RED_STATE
• YELLOW_STATE
• DELETED

Example: PROVISIONING

messagestring

Additional status message

num_indexesint32

Number of indexes on the endpoint

budget_policy_idstringPublic Preview

The user-selected budget policy id for the endpoint.

effective_budget_policy_idstringPublic Preview

The budget policy id applied to the endpoint

Example: 8b0444ff-8b60-48b0-9d31-e391f6126e0f

scaling_infoobjectGA

Scaling information for the endpoint

Show child attributesHide child attributes

statestringBeta

The current state of the scaling change request.

Values:

• SCALING_CHANGE_UNSPECIFIED
• SCALING_CHANGE_APPLIED
• SCALING_CHANGE_IN_PROGRESS

Example: SCALING_CHANGE_APPLIED

requested_target_qpsint64GA

The requested QPS target for the endpoint. Best-effort; the system does not guarantee this QPS will be achieved.

Example: 500

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The Endpoint object

{
  "name": "docs-endpoint",
  "creator": "john@example.com",
  "creation_timestamp": 1702013512061,
  "last_updated_timestamp": 1702013512061,
  "endpoint_type": "STORAGE_OPTIMIZED",
  "last_updated_user": "john@example.com",
  "id": "c56bf0a9-4929-4bd4-8bd5-d82ca62f9c76",
  "endpoint_status": {
    "state": "PROVISIONING",
    "message": "string"
  },
  "num_indexes": 0,
  "budget_policy_id": "string",
  "effective_budget_policy_id": "8b0444ff-8b60-48b0-9d31-e391f6126e0f",
  "scaling_info": {
    "state": "SCALING_CHANGE_APPLIED",
    "requested_target_qps": 500
  }
}

Get an endpoint GA

GET /api/2.0/vector-search/endpoints/{name}

Get details for a single AI Search endpoint.

API scopes: vector-search

Parameters

namestringRequiredpath

Name of the endpoint

Response

Returns the Endpoint object.

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Response

{
  "name": "docs-endpoint",
  "creator": "john@example.com",
  "creation_timestamp": 1702013512061,
  "last_updated_timestamp": 1702013512061,
  "endpoint_type": "STORAGE_OPTIMIZED",
  "last_updated_user": "john@example.com",
  "id": "c56bf0a9-4929-4bd4-8bd5-d82ca62f9c76",
  "endpoint_status": {
    "state": "PROVISIONING",
    "message": "string"
  },
  "num_indexes": 0,
  "budget_policy_id": "string",
  "effective_budget_policy_id": "8b0444ff-8b60-48b0-9d31-e391f6126e0f",
  "scaling_info": {
    "state": "SCALING_CHANGE_APPLIED",
    "requested_target_qps": 500
  }
}

List all endpoints GA

GET /api/2.0/vector-search/endpoints

List all AI Search endpoints in the workspace.

API scopes: vector-search

Parameters

page_tokenstringquery

Token for pagination

Response

Returns a list of Endpoint objects.

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Response

{
  "endpoints": [
    {
      "name": "docs-endpoint",
      "creator": "john@example.com",
      "creation_timestamp": 1702013512061,
      "last_updated_timestamp": 1702013512061,
      "endpoint_type": "STORAGE_OPTIMIZED",
      "last_updated_user": "john@example.com",
      "id": "c56bf0a9-4929-4bd4-8bd5-d82ca62f9c76",
      "endpoint_status": {},
      "num_indexes": 0,
      "budget_policy_id": "string",
      "effective_budget_policy_id": "8b0444ff-8b60-48b0-9d31-e391f6126e0f",
      "scaling_info": {}
    }
  ],
  "next_page_token": "string"
}

Create an endpoint GA

POST /api/2.0/vector-search/endpoints

Create a new endpoint.

API scopes: vector-search

Request body

namestringRequired

Name of the AI Search endpoint

Example: docs-endpoint

endpoint_typestringRequired

Type of endpoint

Values:

• STORAGE_OPTIMIZED
• STANDARD

budget_policy_idstringPublic Preview

The budget policy id to be applied

Example: 8b0444ff-8b60-48b0-9d31-e391f6126e0f

target_qpsint64

Target QPS for the endpoint. Mutually exclusive with num_replicas. The actual replica count is calculated at index creation/sync time based on this value. Best-effort target; the system does not guarantee this QPS will be achieved.

Example: 100

Response

Returns