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

Retrieve batch

client.Batches.Get(ctx, batchID) (*Batch, error)

get /batches/{batch_id}

Retrieves a batch.

Parameters

• batchID string

Returns

• type Batch struct{…}

  • ID string

  • CompletionWindow string

    The time frame within which the batch should be processed.

  • CreatedAt int64

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

  • Endpoint string

    The OpenAI API endpoint used by the batch.

  • InputFileID string

    The ID of the input file for the batch.

  • Object Batch

    The object type, which is always batch.

    • const BatchBatch Batch = "batch"

  • Status BatchStatus

    The current status of the batch.

    • const BatchStatusValidating BatchStatus = "validating"

    • const BatchStatusFailed BatchStatus = "failed"

    • const BatchStatusInProgress BatchStatus = "in_progress"

    • const BatchStatusFinalizing BatchStatus = "finalizing"

    • const BatchStatusCompleted BatchStatus = "completed"

    • const BatchStatusExpired BatchStatus = "expired"

    • const BatchStatusCancelling BatchStatus = "cancelling"

    • const BatchStatusCancelled BatchStatus = "cancelled"

  • CancelledAt int64

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

  • CancellingAt int64

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

  • CompletedAt int64

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

  • ErrorFileID string

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

  • Errors BatchErrors

    • Data []BatchError

      • Code string

        An error code identifying the error type.

      • Line int64

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

      • Message string

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

      • Param string

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

    • Object string

      The object type, which is always list.

  • ExpiredAt int64

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

  • ExpiresAt int64

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

  • FailedAt int64

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

  • FinalizingAt int64

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

  • InProgressAt int64

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

  • Metadata 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 string

    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.

  • OutputFileID string

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

  • RequestCounts BatchRequestCounts

    The request counts for different statuses within the batch.

    • Completed int64

      Number of requests that have been completed successfully.

    • Failed int64

      Number of requests that have failed.

    • Total int64

      Total number of requests in the batch.

  • Usage 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.

    • InputTokens int64

      The number of input tokens.

    • InputTokensDetails BatchUsageInputTokensDetails

      A detailed breakdown of the input tokens.

      • CachedTokens int64

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

    • OutputTokens int64

      The number of output tokens.

    • OutputTokensDetails BatchUsageOutputTokensDetails

      A detailed breakdown of the output tokens.

      • ReasoningTokens int64

        The number of reasoning tokens.

    • TotalTokens int64

      The total number of tokens used.

Example

package main

import (
  "context"
  "fmt"

  "github.com/openai/openai-go"
  "github.com/openai/openai-go/option"
)

func main() {
  client := openai.NewClient(
    option.WithAPIKey("My API Key"),
  )
  batch, err := client.Batches.Get(context.TODO(), "batch_id")
  if err != nil {
    panic(err.Error())
  }
  fmt.Printf("%+v\n", 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
  }
}