GET
/
v1
/
feedback
/
{request_id}
from vlmrun.client import VLMRun
from vlmrun.client.types import FeedbackResponse

client = VLMRun(api_key="<VLMRUN_API_KEY>")
feedback_list = client.feedback.get("<request_id>")

{
  "request_id": "<string>",
  "items": [
    {
      "id": "<string>",
      "created_at": "2023-11-07T05:31:56Z",
      "response": {},
      "notes": "<string>"
    }
  ]
}
Retrieve feedback data for a specific prediction request. 
from vlmrun.client import VLMRun
from vlmrun.client.types import FeedbackResponse

client = VLMRun(api_key="<VLMRUN_API_KEY>")
feedback_list = client.feedback.get("<request_id>")

Authorizations

​
Authorization
string
header
required

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

Path Parameters

​
request_id
string
required

Query Parameters

​
limit
integer
default:10
Required range: x >= 1
​
offset
integer
default:0
Required range: x >= 0

Response

200
application/json

Successful Response

Response model for feedback operations.