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PATCH
/
cloud
/
v3
/
inference
/
applications
/
{project_id}
/
deployments
/
{deployment_name}
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.update(
    deployment_name="deployment_name",
    project_id=1,
)
print(task_id_list.tasks)
{
  "tasks": [
    "<string>"
  ]
}

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

deployment_name
string
required

Name of deployment

Body

application/json
api_keys
string[]

List of API keys for the application

components_configuration
Components Configuration · object

Mapping of component names to their configuration (e.g., "model": {...})

regions
integer[]

Geographical regions to be updated for the 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.