Deploys a model. If a model is already deployed, deploying it has no effect. A model can only serve prediction requests after it gets deployed. For article suggestion, custom model will not be used unless it is deployed.
This method is a long-running operation
. The returned Operation
type has the following method-specific fields:
-
metadata:DeployConversationModelOperationMetadata -
response: An Empty message
HTTP request
POST https://{endpoint}/v2/{name=projects/*/conversationModels/*}:deploy
Where {endpoint}
is one of the supported service endpoints
.
The URLs use gRPC Transcoding syntax.
Path parameters
name
string
Required. The conversation model to deploy. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>
Authorization requires the following IAM
permission on the specified resource name
:
-
dialogflow.conversationModels.deploy
Request body
The request body must be empty.
Response body
If successful, the response body contains an instance of Operation
.
Authorization scopes
Requires one of the following OAuth scopes:
-
https://www.googleapis.com/auth/cloud-platform -
https://www.googleapis.com/auth/dialogflow
For more information, see the Authentication Overview .
