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GET
https://api.keywordsai.co
/
api
/
v1
/
batches
/
{batch_id}
import requests
import json

batch_id = "batch_abc123"
url = f"https://api.keywordsai.co/api/v1/batches/{batch_id}/"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "X-Data-Keywordsai-Params": json.dumps({
        "customer_identifier": "user123"
    })
}

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

print(f"Status: {batch['status']}")
if batch['status'] == 'completed':
    print(f"Output file: {batch['output_file_id']}")

{
  "id": "batch_abc123",
  "object": "batch",
  "endpoint": "/v1/chat/completions",
  "errors": null,
  "input_file_id": "file-abc123",
  "completion_window": "24h",
  "status": "completed",
  "output_file_id": "file-xyz789",
  "error_file_id": null,
  "created_at": 1711471533,
  "in_progress_at": 1711471538,
  "expires_at": 1711557933,
  "finalizing_at": 1711493133,
  "completed_at": 1711493163,
  "failed_at": null,
  "expired_at": null,
  "cancelling_at": null,
  "cancelled_at": null,
  "request_counts": {
    "total": 100,
    "completed": 95,
    "failed": 5
  },
  "metadata": {
    "description": "Customer analysis batch"
  }
}
Retrieve the status and details of a specific batch job. Use this to monitor batch progress and get the output file ID when the batch completes.
Customer credentials required: This endpoint requires your own OpenAI API key configured in Keywords AI dashboard (Settings → Providers).

​
Keywords AI parameters

You can pass Keywords AI tracking parameters via the X-Data-Keywordsai-Params header: 
-H "X-Data-Keywordsai-Params: {\"customer_identifier\": \"user123\"}"

​
Path parameters

​
batch_id
string
required
The unique identifier of the batch to retrieve. Format: batch_xxxxx
batch_abc123

​
Response

Returns a batch object with complete status information. Key fields:
  • status - Current batch status (see create batch for status values)
  • output_file_id - ID of the output file when batch completes (use with retrieve file content)
  • error_file_id - ID of the error file if any requests failed
  • request_counts - Progress tracking with total, completed, and failed counts
{
  "id": "batch_abc123",
  "object": "batch",
  "endpoint": "/v1/chat/completions",
  "errors": null,
  "input_file_id": "file-abc123",
  "completion_window": "24h",
  "status": "completed",
  "output_file_id": "file-xyz789",
  "error_file_id": null,
  "created_at": 1711471533,
  "in_progress_at": 1711471538,
  "expires_at": 1711557933,
  "finalizing_at": 1711493133,
  "completed_at": 1711493163,
  "failed_at": null,
  "expired_at": null,
  "cancelling_at": null,
  "cancelled_at": null,
  "request_counts": {
    "total": 100,
    "completed": 95,
    "failed": 5
  },
  "metadata": {
    "description": "Customer analysis batch"
  }
}

import requests
import json

batch_id = "batch_abc123"
url = f"https://api.keywordsai.co/api/v1/batches/{batch_id}/"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "X-Data-Keywordsai-Params": json.dumps({
        "customer_identifier": "user123"
    })
}

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

print(f"Status: {batch['status']}")
if batch['status'] == 'completed':
    print(f"Output file: {batch['output_file_id']}")