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GET
/
v1
/
files
/
{file_id}
!pip install vlmrun

from vlmrun.client import VLMRun

client = VLMRun(base_url="https://agent.vlm.run/v1", api_key="<VLMRUN_API_KEY>")

# Get the file by ID
response = client.files.get(file_id="file_123")

{
  "filename": "<string>",
  "bytes": 123,
  "purpose": "assistants",
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "object": "file",
  "public_url": "<string>"
}
!pip install vlmrun

from vlmrun.client import VLMRun

client = VLMRun(base_url="https://agent.vlm.run/v1", api_key="<VLMRUN_API_KEY>")

# Get the file by ID
response = client.files.get(file_id="file_123")

Authorizations

​
Authorization
string
header
required

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

Path Parameters

​
file_id
string
required

Query Parameters

​
generate_public_url
boolean
default:true

Whether to generate a public URL for the file

Response

Successful Response

Response to the file upload API.

​
filename
string | null
required

Name of the file

​
bytes
integer
required

Size of the file in bytes

​
purpose
enum<string>
required

Purpose of the file

Available options:
assistants,
batch,
fine-tune,
vision,
datasets
​
id
string | null

Unique identifier of the file

​
created_at
string<date-time>

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

​
object
string
default:file

Type of the file

Allowed value: "file"
​
public_url
string | null

Presigned URL of the file