Delete inference application deployment

Deletes an existing application deployment along with all associated resources. This action will permanently remove the deployment and terminate all related inference instances that are part of the application.

DELETE /cloud/v3/inference/applications/{project_id}/deployments/{deployment_name}

Python

Python

import os
from gcore import Gcore

client = Gcore(
    api_key=os.environ.get("GCORE_API_KEY"),  # This is the default and can be omitted
)
task_id_list = client.cloud.inference.applications.deployments.delete(
    deployment_name="deployment_name",
    project_id=1,
)
print(task_id_list.tasks)

200

{
  "tasks": [
    "d478ae29-dedc-4869-82f0-96104425f565"
  ]
}

Authorizations

Authorization · string · header · required

API key for authentication. Make sure to include the word apikey, followed by a single space and then your token. Example: apikey 1234$abcdef

Path Parameters

project_id · integer · required

Project ID

Example:

1

deployment_name · string · required

Name of deployment

Response

200 - application/json

OK

tasks · string[] · required

List of task IDs representing asynchronous operations. Use these IDs to monitor operation progress:

• GET /v1/tasks/{task_id} - Check individual task status and details Poll task status until completion (FINISHED/ERROR) before proceeding with dependent operations.

Example:

["d478ae29-dedc-4869-82f0-96104425f565"]