curl --request GET \
  --url https://api.voice-agents.miraiminds.co/v1/knowledge-base/files/{knowledgeBaseId} \
  --header 'workspace: <workspace>' \
  --header 'x-private-key: <api-key>' \
  --header 'x-public-key: <api-key>'

import requests

url = "https://api.voice-agents.miraiminds.co/v1/knowledge-base/files/{knowledgeBaseId}"

headers = {
    "x-public-key": "<api-key>",
    "x-private-key": "<api-key>",
    "workspace": "<workspace>"
}

response = requests.get(url, headers=headers)

print(response.text)

const url = 'https://api.voice-agents.miraiminds.co/v1/knowledge-base/files/{knowledgeBaseId}';
const options = {
  method: 'GET',
  headers: {
    'x-public-key': '<api-key>',
    'x-private-key': '<api-key>',
    workspace: '<workspace>'
  }
};

fetch(url, options)
  .then(res => res.json())
  .then(json => console.log(json))
  .catch(err => console.error(err));

{
  "message": "Knowledge base file retrieved successfully.",
  "data": {
    "_id": "6701a1b2c3d4e5f600000050",
    "fileName": "product-catalog.pdf",
    "collectionName": "rag_acme_product_catalog_v1",
    "type": "application/pdf",
    "size": 524288,
    "status": "ready",
    "processingPercentage": 100,
    "workspace": "6690a1b2c3d4e5f600000002",
    "createdAt": "2026-06-30T10:00:00.000Z"
  }
}