python/resources/batches/methods/retrieve/index.md 2026-07-10 23:02 UTC to 2026-07-12 06:58 UTC

Retrieve batch

batches.retrieve(strbatch_id) -> Batch

get /batches/{batch_id}

Retrieves a batch.

Parameters

• batch_id: str

Returns

• class Batch: …

  • id: str

  • completion_window: str

    The time frame within which the batch should be processed.

  • created_at: int

    The Unix timestamp (in seconds) for when the batch was created.

  • endpoint: str

    The OpenAI API endpoint used by the batch.

  • input_file_id: str

    The ID of the input file for the batch.

  • object: Literal["batch"]

    The object type, which is always batch.

    • "batch"

  • status: Literal["validating", "failed", "in_progress", 5 more]

    The current status of the batch.

    • "validating"

    • "failed"

    • "in_progress"

    • "finalizing"

    • "completed"

    • "expired"

    • "cancelling"

    • "cancelled"

  • cancelled_at: Optional[int]

    The Unix timestamp (in seconds) for when the batch was cancelled.

  • cancelling_at: Optional[int]

    The Unix timestamp (in seconds) for when the batch started cancelling.

  • completed_at: Optional[int]

    The Unix timestamp (in seconds) for when the batch was completed.

  • error_file_id: Optional[str]

    The ID of the file containing the outputs of requests with errors.

  • errors: Optional[Errors]

    • data: Optional[List[BatchError]]

      • code: Optional[str]

        An error code identifying the error type.

      • line: Optional[int]

        The line number of the input file where the error occurred, if applicable.

      • message: Optional[str]

        A human-readable message providing more details about the error.

      • param: Optional[str]

        The name of the parameter that caused the error, if applicable.

    • object: Optional[str]

      The object type, which is always list.

  • expired_at: Optional[int]

    The Unix timestamp (in seconds) for when the batch expired.

  • expires_at: Optional[int]

    The Unix timestamp (in seconds) for when the batch will expire.

  • failed_at: Optional[int]

    The Unix timestamp (in seconds) for when the batch failed.

  • finalizing_at: Optional[int]

    The Unix timestamp (in seconds) for when the batch started finalizing.

  • in_progress_at: Optional[int]

    The Unix timestamp (in seconds) for when the batch started processing.

  • metadata: Optional[Metadata]

    Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.

    Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.

  • model: Optional[str]

    Model ID used to process the batch, like gpt-5-2025-08-07. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the model guide to browse and compare available models.

  • output_file_id: Optional[str]

    The ID of the file containing the outputs of successfully executed requests.

  • request_counts: Optional[BatchRequestCounts]

    The request counts for different statuses within the batch.

    • completed: int

      Number of requests that have been completed successfully.

    • failed: int

      Number of requests that have failed.

    • total: int

      Total number of requests in the batch.

  • usage: Optional[BatchUsage]

    Represents token usage details including input tokens, output tokens, a breakdown of output tokens, and the total tokens used. Only populated on batches created after September 7, 2025.

    • input_tokens: int

      The number of input tokens.

    • input_tokens_details: InputTokensDetails

      A detailed breakdown of the input tokens.

      • cached_tokens: int

        The number of tokens that were retrieved from the cache. More on prompt caching.

    • output_tokens: int

      The number of output tokens.

    • output_tokens_details: OutputTokensDetails

      A detailed breakdown of the output tokens.

      • reasoning_tokens: int

        The number of reasoning tokens.

    • total_tokens: int

      The total number of tokens used.

Example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
)
batch = client.batches.retrieve(
    "batch_id",
)
print(batch.id)

Response

{
  "id": "id",
  "completion_window": "completion_window",
  "created_at": 0,
  "endpoint": "endpoint",
  "input_file_id": "input_file_id",
  "object": "batch",
  "status": "validating",
  "cancelled_at": 0,
  "cancelling_at": 0,
  "completed_at": 0,
  "error_file_id": "error_file_id",
  "errors": {
    "data": [
      {
        "code": "code",
        "line": 0,
        "message": "message",
        "param": "param"
      }
    ],
    "object": "object"
  },
  "expired_at": 0,
  "expires_at": 0,
  "failed_at": 0,
  "finalizing_at": 0,
  "in_progress_at": 0,
  "metadata": {
    "foo": "string"
  },
  "model": "model",
  "output_file_id": "output_file_id",
  "request_counts": {
    "completed": 0,
    "failed": 0,
    "total": 0
  },
  "usage": {
    "input_tokens": 0,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens": 0,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 0
  }
}

Example

from openai import OpenAI
client = OpenAI()

client.batches.retrieve("batch_abc123")

Response

{
  "id": "batch_abc123",
  "object": "batch",
  "endpoint": "/v1/completions",
  "errors": null,
  "input_file_id": "file-abc123",
  "completion_window": "24h",
  "status": "completed",
  "output_file_id": "file-cvaTdG",
  "error_file_id": "file-HOWS94",
  "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": {
    "customer_id": "user_123456789",
    "batch_description": "Nightly eval job",
  }
}