GET
/
v1
/
predictions
!pip install vlmrun

from vlmrun.client import VLMRun
from vlmrun.client.types import PredictionResponse

client = VLMRun(api_key="<VLMRUN_API_KEY>")
response: list[PredictionResponse] = client.predictions.list()

[
  {
    "usage": {
      "elements_processed": 123,
      "element_type": "image",
      "credits_used": 123,
      "steps": 123,
      "message": "<string>",
      "duration_seconds": 0
    },
    "id": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "completed_at": "2023-11-07T05:31:56Z",
    "response": "<any>",
    "status": "pending",
    "domain": "<string>"
  }
]
Get the list of predictions for the current user. 
!pip install vlmrun

from vlmrun.client import VLMRun
from vlmrun.client.types import PredictionResponse

client = VLMRun(api_key="<VLMRUN_API_KEY>")
response: list[PredictionResponse] = client.predictions.list()

Authorizations

​
Authorization
string
header
required

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

Query Parameters

​
skip
integer
default:0

Number of items to skip

Required range: x >= 0
​
limit
integer | null
default:10

Maximum number of items to return

Required range: 1 <= x <= 1000

Response

Successful Response

The response is of type PredictionResponse · object[].