Get inference deployment logs

GET /cloud/v3/inference/{project_id}/deployments/{deployment_name}/logs

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
)
page = client.cloud.inference.deployments.logs.list(
    deployment_name="my-instance",
    project_id=1,
)
page = page.results[0]
print(page.region_id)

200

{
  "count": 1,
  "results": [
    {
      "message": "GET /v1/predictions",
      "pod": "iate-container-8568ff8fc7-z7vx9",
      "region_id": 7,
      "time": "2024-10-14T14:54:04.82851142Z"
    }
  ]
}

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

Inference instance name.

Example:

"my-instance"

Query Parameters

limit · integer · default: 1000

Optional. Limit the number of returned items

Required range: x <= 1000

Example:

1000

offset · integer · default: 0

Optional. Offset value is used to exclude the first set of records from the result

Required range: x >= 0

Example:

0

order_by · enum<string> · default: time.desc

Order by field

Available options: time.asc, time.desc

Example:

"time.asc"

region_id · integer | null

Region ID

Example:

1

Response

200 - application/json

OK

count · integer · required

Number of objects

Required range: x >= 0

Example:

1

results · InferenceInstanceLogSerializerV3 · object[] · required

Objects

Show child attributes