Batch

List batches

GET /openai/v1/batches

Lists batches matching the request filters.

Query parameters

after string

A cursor for use in pagination. after is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.

limit integer

A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.

Responses

The request has succeeded.

Body

Content-Type: application/json

data OpenAI.Batch[] required

first_id string

last_id string

has_more boolean required

object enum required

list

Request

curl https://api.openai.com/v1/batches?limit=2 \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json"

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
)
page = client.batches.list()
page = page.data[0]
print(page.id)

import OpenAI from "openai";

const openai = new OpenAI();

async function main() {
  const list = await openai.batches.list();

  for await (const batch of list) {
    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
});

// Automatically fetches more pages as needed.
for await (const batch of client.batches.list()) {
  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"),
    )
    page, err := client.Batches.List(context.TODO(), openai.BatchListParams{})
    if err != nil {
        panic(err.Error())
    }
    fmt.Printf("%+v
", page)
}

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.batches.BatchListPage;
import com.openai.models.batches.BatchListParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        BatchListPage page = client.batches().list();
    }
}

require "openai"

openai = OpenAI::Client.new(api_key: "My API Key")

page = openai.batches.list

puts(page)

Response

{
  "object": "list",
  "data": [
    {
      "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-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 job",
      }
    },
    { ... },
  ],
  "first_id": "batch_abc123",
  "last_id": "batch_abc456",
  "has_more": true
}