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layout	title	parent	grand_parent	nav_order
default	Update connector	Connector APIs	ML Commons APIs	30

Update a connector

Introduced 2.12 {: .label .label-purple }

Use this API to update a standalone connector based on the model_ID. To update a connector created within a specific model, use the Update Model API.

Before updating a standalone connector, you must undeploy all models that use the connector. For information about undeploying a model, see Undeploy Model API. {: .note}

Using this API, you can update the connector fields listed in the Request fields section and add optional fields to your connector. You cannot delete fields from a connector using this API.

For information about user access for this API, see Model access control considerations.

Path and HTTP methods

PUT /_plugins/_ml/connectors/<connector_id>

Request fields

The following table lists the updatable fields. For more information about all connector fields, see Blueprint configuration parameters.

Field	Data type	Description
`name`	String	The name of the connector.
`description`	String	A description of the connector.
`version`	Integer	The version of the connector.
`protocol`	String	The protocol for the connection. For AWS services, such as Amazon SageMaker and Amazon Bedrock, use `aws_sigv4`. For all other services, use `http`.
`parameters`	JSON object	The default connector parameters, including `endpoint` and `model`. Any parameters included in this field can be overridden by parameters specified in a predict request.
`credential`	JSON object	Defines any credential variables required in order to connect to your chosen endpoint. ML Commons uses AES/GCM/NoPadding symmetric encryption to encrypt your credentials. When the connection to the cluster first starts, OpenSearch creates a random 32-byte encryption key that persists in OpenSearch's system index. Therefore, you do not need to manually set the encryption key.
`actions`	JSON array	Defines which actions can run within the connector. If you're an administrator creating a connection, add the blueprint for your desired connection.
`backend_roles`	JSON array	A list of OpenSearch backend roles. For more information about setting up backend roles, see Assigning backend roles to users.
`access_mode`	String	Sets the access mode for the model, either `public`, `restricted`, or `private`. Default is `private`. For more information about `access_mode`, see Model groups.

Example request

PUT /_plugins/_ml/connectors/u3DEbI0BfUsSoeNTti-1
{
  "description": "The connector to public OpenAI model service for GPT 3.5"
}

{% include copy-curl.html %}

Example response

{
  "_index": ".plugins-ml-connector",
  "_id": "u3DEbI0BfUsSoeNTti-1",
  "_version": 2,
  "result": "updated",
  "_shards": {
    "total": 1,
    "successful": 1,
    "failed": 0
  },
  "_seq_no": 2,
  "_primary_term": 1
}

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