Batch
Create a batch
Creates a batch from the supplied request.
Aanvraagbody
The request body.
input_file_id
string
vereist
The ID of an uploaded file that contains requests for the new batch. See upload file for how to upload a file. Your input file must be formatted as a JSONL file, and must be uploaded with the purpose batch. The file can contain up to 50,000 requests, and can be up to 200 MB in size.
endpoint
enum
vereist
The endpoint to be used for all requests in the batch. Currently /v1/responses, /v1/chat/completions, /v1/embeddings, /v1/completions, /v1/moderations, /v1/images/generations, /v1/images/edits, and /v1/videos are supported. Note that /v1/embeddings batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch.
completion_window
enum
vereist
The time frame within which the batch should be processed. Currently only 24h is supported.
metadata
OpenAI.Metadata | null
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.
output_expires_after
OpenAI.BatchFileExpirationAfter
The expiration policy for the output and/or error file that are generated for a batch.
anchor
enum
vereist
Anchor timestamp after which the expiration policy applies. Supported anchors: created_at. Note that the anchor is the file creation time, not the time the batch is created.
seconds
integer
vereist
The number of seconds after the anchor time that the file will expire. Must be between 3600 (1 hour) and 2592000 (30 days).
Antwoorden
The request has succeeded.
Hoofdtekst
object
enum
vereist
The object type, which is always batch.
endpoint
string
vereist
The OpenAI API endpoint used by the batch.
model
string
Model ID used to process the batch, like gpt-6-astra. 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.
errors
OpenAI.BatchErrors | null
input_file_id
string
vereist
The ID of the input file for the batch.
completion_window
string
vereist
The time frame within which the batch should be processed.
status
enum
vereist
The current status of the batch.
output_file_id
string | null
The ID of the file containing the outputs of successfully executed requests.
error_file_id
string | null
The ID of the file containing the outputs of requests with errors.
created_at
integer
vereist
The Unix timestamp (in seconds) for when the batch was created.
in_progress_at
integer | null
The Unix timestamp (in seconds) for when the batch started processing.
expires_at
integer | null
The Unix timestamp (in seconds) for when the batch will expire.
finalizing_at
integer | null
The Unix timestamp (in seconds) for when the batch started finalizing.
completed_at
integer | null
The Unix timestamp (in seconds) for when the batch was completed.
failed_at
integer | null
The Unix timestamp (in seconds) for when the batch failed.
expired_at
integer | null
The Unix timestamp (in seconds) for when the batch expired.
cancelling_at
integer | null
The Unix timestamp (in seconds) for when the batch started cancelling.
cancelled_at
integer | null
The Unix timestamp (in seconds) for when the batch was cancelled.
request_counts
OpenAI.BatchRequestCounts
The request counts for different statuses within the batch.
usage
OpenAI.BatchUsage
input_tokens_details
OpenAI.BatchUsageInputTokensDetails
vereist
output_tokens_details
OpenAI.BatchUsageOutputTokensDetails
vereist
metadata
OpenAI.Metadata | null
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.
Aanvraag
curl https://api.openai.com/v1/batches \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input_file_id": "file-abc123",
"endpoint": "/v1/chat/completions",
"completion_window": "24h"
}'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.create(
completion_window="24h",
endpoint="/v1/responses",
input_file_id="input_file_id",
)
print(batch.id)import OpenAI from "openai";
const openai = new OpenAI();
async function main() {
const batch = await openai.batches.create({
input_file_id: "file-abc123",
endpoint: "/v1/chat/completions",
completion_window: "24h"
});
console.log(batch);
}
main();import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
});
const batch = await client.batches.create({
completion_window: '24h',
endpoint: '/v1/responses',
input_file_id: 'input_file_id',
});
console.log(batch.id);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.New(context.TODO(), openai.BatchNewParams{
CompletionWindow: openai.BatchNewParamsCompletionWindow24h,
Endpoint: openai.BatchNewParamsEndpointV1Responses,
InputFileID: "input_file_id",
})
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v
", batch.ID)
}package com.openai.example;
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.batches.Batch;
import com.openai.models.batches.BatchCreateParams;
public final class Main {
private Main() {}
public static void main(String[] args) {
OpenAIClient client = OpenAIOkHttpClient.fromEnv();
BatchCreateParams params = BatchCreateParams.builder()
.completionWindow(BatchCreateParams.CompletionWindow._24H)
.endpoint(BatchCreateParams.Endpoint.V1_RESPONSES)
.inputFileId("input_file_id")
.build();
Batch batch = client.batches().create(params);
}
}require "openai"
openai = OpenAI::Client.new(api_key: "My API Key")
batch = openai.batches.create(
completion_window: :"24h",
endpoint: :"/v1/responses",
input_file_id: "input_file_id"
)
puts(batch)Respons
{
"id": "batch_abc123",
"object": "batch",
"endpoint": "/v1/chat/completions",
"errors": null,
"input_file_id": "file-abc123",
"completion_window": "24h",
"status": "validating",
"output_file_id": null,
"error_file_id": null,
"created_at": 1711471533,
"in_progress_at": null,
"expires_at": null,
"finalizing_at": null,
"completed_at": null,
"failed_at": null,
"expired_at": null,
"cancelling_at": null,
"cancelled_at": null,
"request_counts": {
"total": 0,
"completed": 0,
"failed": 0
},
"metadata": {
"customer_id": "user_123456789",
"batch_description": "Nightly eval job",
}
}