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PATCH
/
cloud
/
v3
/
inference
/
applications
/
{project_id}
/
deployments
/
{deployment_name}
Python
from gcore import Gcore

client = Gcore(
    api_key="My API Key",
)
task_id_list = client.cloud.inference.applications.deployments.update(
    deployment_name="deployment_name",
    project_id=1,
)
print(task_id_list.tasks)
{
  "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

Examples:

1

​
deployment_name
string
required

Name of deployment

Body

application/json
​
api_keys
string[]

List of API keys for the application

Examples:
["key1", "key2"]
​
components_configuration
object

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

Examples:
{ "model": { "scale": { "max": 2 } } }
{
  "model": {
    "flavor": "inference-16vcpu-232gib-1xh100-80gb"
  }
}
​
regions
integer[]

Geographical regions to be updated for the deployment

Examples:
[1, 2]

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.

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