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POST
/
v1
/
feedback
/
submit
from vlmrun.client import VLMRun

client = VLMRun(api_key="<VLMRUN_API_KEY>")
response = client.feedback.submit(
    request_id="<request_id>",
    response={"name": "John Doe", "date_of_birth": "1955-01-01", "email": "john@doe.com"},
    notes="Excellent prediction quality"
)

{
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "request_id": "<string>",
  "agent_execution_id": "<string>",
  "chat_id": "<string>",
  "notes": "<string>"
}

Documentation Index

Fetch the complete documentation index at: https://docs.vlm.run/llms.txt

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

Submit feedback for a prediction to help improve model performance through fine-tuning. 
from vlmrun.client import VLMRun

client = VLMRun(api_key="<VLMRUN_API_KEY>")
response = client.feedback.submit(
    request_id="<request_id>",
    response={"name": "John Doe", "date_of_birth": "1955-01-01", "email": "john@doe.com"},
    notes="Excellent prediction quality"
)

Authorizations

​
Authorization
string
header
required

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

Body

application/json

Request model for submitting feedback.

​
request_id
string | null

The unique identifier for the request.

​
agent_execution_id
string | null

The unique identifier for the agent execution.

​
chat_id
string | null

The unique identifier for the chat.

​
response
Response · object

The updated response for the entity.

​
notes
string | null

The notes for the feedback.

Response

Successful Response

Response model for feedback operations.

​
id
string
required

The unique identifier for the feedback.

​
created_at
string<date-time>
required

Date and time when the feedback was submitted (in UTC timezone)

​
request_id
string | null

The unique identifier for the request.

​
agent_execution_id
string | null

The unique identifier for the agent execution.

​
chat_id
string | null

The unique identifier for the chat.

​
notes
string | null

The notes for the feedback.