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GET
/
v1
/
batches
/
{batch_id}
from openai import OpenAI
client = OpenAI()

batch = client.batches.retrieve("batch_abc123")
print(batch.status)

{
  "id": "batch_abc123",
  "object": "batch",
  "endpoint": "/v1/chat/completions",
  "input_file_id": "file-abc123",
  "completion_window": "24h",
  "status": "completed",
  "output_file_id": "file-xyz789",
  "error_file_id": "file-error456",
  "created_at": 1711073447,
  "in_progress_at": 1711073448,
  "completed_at": 1711075047,
  "request_counts": {
    "total": 100,
    "completed": 95,
    "failed": 5
  }
}

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Retrieves a batch.

​
Path Parameters

​
batch_id
string
required
The ID of the batch to retrieve.

​
Response

Returns the Batch object matching the specified ID.
​
id
string
The batch ID.
​
object
string
The object type, always batch.
​
endpoint
string
The OpenAI API endpoint used by the batch.
​
status
string
The current status of the batch.
​
request_counts
object
The request counts for different statuses within the batch.
​
output_file_id
string
The ID of the file containing the outputs of successfully executed requests.
​
error_file_id
string
The ID of the file containing the outputs of requests with errors.
​
created_at
integer
The Unix timestamp (in seconds) for when the batch was created.
​
completed_at
integer
The Unix timestamp (in seconds) for when the batch was completed.
from openai import OpenAI
client = OpenAI()

batch = client.batches.retrieve("batch_abc123")
print(batch.status)

{
  "id": "batch_abc123",
  "object": "batch",
  "endpoint": "/v1/chat/completions",
  "input_file_id": "file-abc123",
  "completion_window": "24h",
  "status": "completed",
  "output_file_id": "file-xyz789",
  "error_file_id": "file-error456",
  "created_at": 1711073447,
  "in_progress_at": 1711073448,
  "completed_at": 1711075047,
  "request_counts": {
    "total": 100,
    "completed": 95,
    "failed": 5
  }
}

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