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GET
/
cloud
/
v3
/
inference
/
{project_id}
/
deployments
/
{deployment_name}
/
logs
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)
{
  "count": 1,
  "results": [
    {
      "message": "<string>",
      "pod": "<string>",
      "region_id": 123,
      "time": "2023-11-07T05:31:56Z"
    }
  ]
}

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