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Retrieve container

containers.retrieve(strcontainer_id) -> ContainerRetrieveResponse
GET/containers/{container_id}

Retrieve Container

ParametersExpand Collapse
container_id: str
ReturnsExpand Collapse
class ContainerRetrieveResponse: …
id: str

Unique identifier for the container.

created_at: int

Unix timestamp (in seconds) when the container was created.

name: str

Name of the container.

object: str

The type of this object.

status: str

Status of the container (e.g., active, deleted).

expires_after: Optional[ExpiresAfter]

The container will expire after this time period. The anchor is the reference point for the expiration. The minutes is the number of minutes after the anchor before the container expires.

anchor: Optional[Literal["last_active_at"]]

The reference point for the expiration.

minutes: Optional[int]

The number of minutes after the anchor before the container expires.

last_active_at: Optional[int]

Unix timestamp (in seconds) when the container was last active.

memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]]

The memory limit configured for the container.

Accepts one of the following:
"1g"
"4g"
"16g"
"64g"

Retrieve container

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
)
container = client.containers.retrieve(
    "container_id",
)
print(container.id)
{
  "id": "id",
  "created_at": 0,
  "name": "name",
  "object": "object",
  "status": "status",
  "expires_after": {
    "anchor": "last_active_at",
    "minutes": 0
  },
  "last_active_at": 0,
  "memory_limit": "1g"
}
Returns Examples
{
  "id": "id",
  "created_at": 0,
  "name": "name",
  "object": "object",
  "status": "status",
  "expires_after": {
    "anchor": "last_active_at",
    "minutes": 0
  },
  "last_active_at": 0,
  "memory_limit": "1g"
}