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:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-15 UTC."],[[["This document outlines the process for deploying a conversation model, which is necessary for the model to serve prediction requests and be used for article suggestions."],["The deployment is achieved through a `POST` HTTP request to a specific endpoint, with the model's name provided as a required path parameter in the URL."],["Deploying a model that is already deployed will have no effect."],["The request body for deploying a model must be empty, and upon successful execution, the response body will contain an instance of the `Operation`."],["The `name` parameter requires `dialogflow.conversationModels.deploy` IAM permissions, and either `https://www.googleapis.com/auth/cloud-platform` or `https://www.googleapis.com/auth/dialogflow` OAuth scope."]]],[]]
