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PATCH
Update an integration

Authorizations

Authorization
string
header
required

Most Arize AI endpoints require authentication. For those endpoints that require authentication, include your API key in the request header using the format

Path Parameters

integration_id
string
required

The unique integration identifier. A universally unique identifier (base64-encoded opaque string).

Example:

"RW50aXR5OjEyMzQ1"

Body

application/json

Partially update an integration. The body is discriminated by type. Omitted fields are left unchanged.

Payload Requirements

  • type is required (it selects the per-type PATCH shape) and is immutable: it must match the stored integration's type, otherwise the request is rejected with 422 (change category by delete + recreate).
  • At least one updatable field (name, scopings, config, or — for AGENT only — description) must be provided in addition to type. description is not a valid field for type: LLM and is rejected.
  • For LLM, config.provider is immutable, and config-field applicability is provider-specific (enforced with 422) — see the per-field docs on UpdateLlmConfig.
  • Envelope and config scalar fields deep-merge: omit = keep, explicit null = clear (for nullable fields).
  • Collections (scopings, config.model_names, config.headers, config.request_presets) replace the existing values when provided.

Valid example

Invalid example (empty body)

PATCH body for an LLM integration. type is required (it selects the union member) and immutable. Provide at least one updatable field (name, scopings, or config) in addition to type. scopings replaces on provide.

type
enum<string>
required

Discriminator. Immutable; must match the integration's type.

Available options:
LLM
name
string

New integration name.

scopings
object[]

Replaces the existing scoping rules.

config
object

Partial LLM config for PATCH. provider is immutable; if present it must match the stored value. Field applicability is provider-specific and enforced by the handler with 422: api_key and is_function_calling_enabled do not apply to AWS_BEDROCK or VERTEX_AI; auth applies to AWS_BEDROCK only; base_url and headers apply to CUSTOM and NVIDIA_NIM only; is_default_models_enabled and model_names apply to AWS_BEDROCK, CUSTOM, and NVIDIA_NIM only; project_id, location, and project_access_label apply to VERTEX_AI only.

Response

An integration object.

An LLM integration (type=LLM).

id
string
required

The unique identifier for the integration.

type
enum<string>
required

Discriminator identifying an LLM integration.

Available options:
LLM
name
string
required

The integration name. Unique per (account, type).

scopings
object[]
required

Visibility scoping rules. Account-wide when empty.

created_at
string<date-time>
required

When the integration was created.

updated_at
string<date-time>
required

When the integration was last updated.

created_by_user_id
string
required

Unique identifier of the user who created the integration.

config
object
required

Config for an OpenAI LLM integration.