Skip to main content
PUT
/
v1
/
containers
/
{id}
Update container
curl --request PUT \
  --url https://console.gmicloud.ai/api/v1/containers/{id} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "LLM training",
  "templateId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "args": [],
  "command": "",
  "envs": [
    {
      "name": "access_token",
      "value": "kalsk113=="
    }
  ],
  "ports": [],
  "sshKeyIdList": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ]
}
'
{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}

Documentation Index

Fetch the complete documentation index at: https://docs.gmicloud.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

​
id
string<uuid>
required

Body

application/json
​
name
string
required
Maximum string length: 255
Pattern: ^([A-Za-z0-9][A-Za-z0-9_\-. ]*)?[A-Za-z0-9]$
Example:

"LLM training"

​
templateId
string<uuid>
required

template id

​
args
string[]

Optional container command arguments

​
command
string
default:""

Optional container start command

​
envs
object[]
Example:
[
  {
    "name": "access_token",
    "value": "kalsk113=="
  }
]
​
ports
object[]
​
sshKeyIdList
string<uuid>[]

The list of SSH key IDs to use in the container

Response

successful

​
id
string<uuid>