POST
/
v1
/
document
/
execute
!pip install vlmrun

from pathlib import Path
from vlmrun.client import VLMRun

client = VLMRun(api_key="<VLMRUN_API_KEY>")
response = client.document.execute(
    name="<agent-name>", version="<agent-version>",
    file=Path("<path>.pdf"),
    batch=True,
    config=GenerationConfig(json_schema="<json-schema>", detail="<auto|lo|hi>", grounding="<True|False>"),
)

{
  "usage": {
    "elements_processed": 123,
    "element_type": "image",
    "credits_used": 123,
    "steps": 123,
    "message": "<string>"
  },
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "completed_at": "2023-11-07T05:31:56Z",
  "response": "<any>",
  "status": "pending"
}
!pip install vlmrun

from pathlib import Path
from vlmrun.client import VLMRun

client = VLMRun(api_key="<VLMRUN_API_KEY>")
response = client.document.execute(
    name="<agent-name>", version="<agent-version>",
    file=Path("<path>.pdf"),
    batch=True,
    config=GenerationConfig(json_schema="<json-schema>", detail="<auto|lo|hi>", grounding="<True|False>"),
)

Authorizations

​
Authorization
string
header
required

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

Body

application/json

Request to execute an agent.

​
name
string
required

Name of the agent

​
metadata
object

Optional metadata to pass to the model.

​
config
object

The VLM generation config to be used for /<dtype>/generate.

​
url
string | null

The URL of the file (provide either file_id or url).

​
file_id
string | null

The ID of the uploaded file (provide either file_id or url).

​
id
string

Unique identifier of the request.

​
created_at
string

Date and time when the request was created (in UTC timezone)

​
callback_url
string | null

The URL to call when the request is completed.

Minimum length: 1
​
version
string | null
default:latest

Version of the agent, defaults to latest.

​
batch
boolean
default:true

Whether to process the document in batch mode (async).

Response

201
application/json
Successful Response

Base prediction response for all API responses.

​
usage
object

The usage metrics for the request.

​
id
string

Unique identifier of the response.

​
created_at
string

Date and time when the request was created (in UTC timezone)

​
completed_at
string | null

Date and time when the response was completed (in UTC timezone)

​
response
any | null

The response from the model.

​
status
enum<string>
default:pending

The status of the job.

Available options:
pending,
enqueued,
running,
completed,
failed,
paused