Create records in a dataset in batch

Create records in a dataset in batch

POST /api/v1/dataset/{slugOrId}/records

Python

Python

import requests

url = "https://app.langwatch.ai/api/v1/dataset/{slugOrId}/records"

payload = { "entries": [{}] }
headers = {
    "X-Auth-Token": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

201

{
  "data": [
    {
      "id": "<string>",
      "datasetId": "<string>",
      "projectId": "<string>",
      "entry": {},
      "createdAt": "2023-11-07T05:31:56Z",
      "updatedAt": "2023-11-07T05:31:56Z"
    }
  ]
}

Authorizations

X-Auth-Token · string · header · required

Project API key for sending traces and accessing project-scoped resources. Format: sk-lw-... (no underscore). Obtain one by creating a project via the Admin API or the LangWatch UI.

Path Parameters

slugOrId · string · required

Body

application/json

entries · object[] · required

Required array length: 1 - 4000 elements

Show child attributes

Response

201 - application/json

Success

data · object[] · required

Show child attributes