Mode arrière-plan | OpenAI API

Des agents comme Codex et la recherche approfondie montrent que les modèles de raisonnement peuvent prendre plusieurs minutes pour résoudre des problèmes complexes. Le mode arrière-plan permet d’exécuter de manière fiable des tâches de longue durée avec des modèles comme GPT-5.2 et GPT-5.2 Pro, sans avoir à se soucier des dépassements de délai ou d’autres problèmes de connexion.

Le mode arrière-plan lance ces tâches de manière asynchrone. Vous pouvez ensuite interroger les objets de réponse à intervalles réguliers pour suivre l’état des requêtes. Pour lancer la génération d’une réponse en arrière-plan, envoyez une requête à l’API en définissant background sur true.

Dans les projets soumis à la politique de non-conservation des données (ZDR), les requêtes en arrière-plan s’exécutent avec store=false. Les données de réponse sont stockées temporairement sur disque pendant environ 10 minutes pour permettre l’exécution asynchrone et la consultation périodique de la réponse.

Pour les projets qui utilisent la surveillance modifiée des abus, y compris sa version renforcée, les règles de conservation standard s’appliquent aux requêtes au premier plan lorsque store est omis ou défini sur true. Les réponses générées en arrière-plan sont conservées au-delà de la période de consultation uniquement si vous indiquez explicitement store=true. Si vous omettez store ou le définissez sur false pour une requête en arrière-plan, la réponse est supprimée au bout d’environ 10 minutes.

Générer une réponse en arrière-plan

Python

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8curl https://api.openai.com/v1/responses \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-d '{
  "model": "gpt-6-astra",
  "input": "Write a very long novel about otters in space.",
  "background": true
}'

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10import OpenAI from "openai";
const client = new OpenAI();

const resp = await client.responses.create({
  model: "gpt-6-astra",
  input: "Write a very long novel about otters in space.",
  background: true,
});

console.log(resp.status);

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11from openai import OpenAI

client = OpenAI()

resp = client.responses.create(
    model="gpt-6-astra",
    input="Write a very long novel about otters in space.",
    background=True,
)

print(resp.status)

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26package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go/v3"
	"github.com/openai/openai-go/v3/responses"
)

func main() {
	client := openai.NewClient()

	response, err := client.Responses.New(context.Background(), responses.ResponseNewParams{
		Model:      "gpt-6-astra",
		Background: openai.Bool(true),
		Input: responses.ResponseNewParamsInputUnion{
			OfString: openai.String("Write a very long novel about otters in space."),
		},
	})
	if err != nil {
		panic(err)
	}

	fmt.Println(response.Status)
}

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13import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.responses.ResponseCreateParams;

ResponseCreateParams params =
    ResponseCreateParams.builder()
        .model("gpt-6-astra")
        .input("Write a detailed market analysis.")
        .background(true)
        .build();

var response = client.responses().create(params);
System.out.println(response.status().orElseThrow());

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17using OpenAI.Responses;
#pragma warning disable OPENAI001

string key = Environment.GetEnvironmentVariable("OPENAI_API_KEY")!;
ResponsesClient client = new(key);

CreateResponseOptions options = new()
{
    Model = "gpt-6-astra",
    BackgroundModeEnabled = true,
};
options.InputItems.Add(
    ResponseItem.CreateUserMessageItem("Write a very long novel about otters in space.")
);

ResponseResult response = await client.CreateResponseAsync(options);
Console.WriteLine(response.Status);

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10require "openai"

client = OpenAI::Client.new
response = client.responses.create(
  model: "gpt-6-astra",
  input: "Write a detailed market analysis.",
  background: true
)

puts(response.status)

Suivi des réponses en arrière-plan

Pour vérifier l’état d’une requête en arrière-plan, utilisez le point de terminaison GET de l’API Responses. Interrogez-le régulièrement tant que la requête est dans l’état queued ou in_progress. Dès que la requête se trouve dans un autre état, elle a atteint un état final (terminal).

Récupérer une réponse en cours de génération en arrière-plan

Python

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3curl https://api.openai.com/v1/responses/resp_123 \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY"

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16import OpenAI from "openai";
const client = new OpenAI();

let resp = await client.responses.create({
  model: "gpt-6-astra",
  input: "Write a very long novel about otters in space.",
  background: true,
});

while (resp.status === "queued" || resp.status === "in_progress") {
  console.log("Current status: " + resp.status);
  await new Promise((resolve) => setTimeout(resolve, 2000)); // wait 2 seconds
  resp = await client.responses.retrieve(resp.id);
}

console.log("Final status: " + resp.status + "\nOutput:\n" + resp.output_text);

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17from openai import OpenAI
from time import sleep

client = OpenAI()

resp = client.responses.create(
    model="gpt-6-astra",
    input="Write a very long novel about otters in space.",
    background=True,
)

while resp.status in {"queued", "in_progress"}:
    print(f"Current status: {resp.status}")
    sleep(2)
    resp = client.responses.retrieve(resp.id)

print(f"Final status: {resp.status}\nOutput:\n{resp.output_text}")

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36package main

import (
	"context"
	"fmt"
	"time"

	"github.com/openai/openai-go/v3"
	"github.com/openai/openai-go/v3/responses"
)

func main() {
	client := openai.NewClient()

	response, err := client.Responses.New(context.Background(), responses.ResponseNewParams{
		Model:      "gpt-6-astra",
		Background: openai.Bool(true),
		Input: responses.ResponseNewParamsInputUnion{
			OfString: openai.String("Write a very long novel about otters in space."),
		},
	})
	if err != nil {
		panic(err)
	}

	for response.Status == "queued" || response.Status == "in_progress" {
		fmt.Println("Current status:", response.Status)
		time.Sleep(2 * time.Second)
		response, err = client.Responses.Get(context.Background(), response.ID, responses.ResponseGetParams{})
		if err != nil {
			panic(err)
		}
	}

	fmt.Printf("Final status: %s\nOutput:\n%s\n", response.Status, response.OutputText())
}

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25import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.responses.ResponseCreateParams;
import com.openai.models.responses.ResponseStatus;

ResponseCreateParams params =
    ResponseCreateParams.builder()
        .model("gpt-6-astra")
        .input("Write a very long novel about otters in space.")
        .background(true)
        .build();

var response = client.responses().create(params);
while (response.status().filter(ResponseStatus.QUEUED::equals).isPresent()
    || response.status().filter(ResponseStatus.IN_PROGRESS::equals).isPresent()) {
  System.out.println("Current status: " + response.status().orElseThrow());
  Thread.sleep(1000);
  response = client.responses().retrieve(response.id());
}
System.out.println("Final status: " + response.status().orElseThrow());
response.output().stream()
    .flatMap(item -> item.message().stream())
    .flatMap(message -> message.content().stream())
    .flatMap(content -> content.outputText().stream())
    .forEach(text -> System.out.println(text.text()));

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27using OpenAI.Responses;
#pragma warning disable OPENAI001

string key = Environment.GetEnvironmentVariable("OPENAI_API_KEY")!;
ResponsesClient client = new(key);

CreateResponseOptions options = new()
{
    Model = "gpt-6-astra",
    BackgroundModeEnabled = true,
};
options.InputItems.Add(
    ResponseItem.CreateUserMessageItem("Write a very long novel about otters in space.")
);

ResponseResult response = await client.CreateResponseAsync(options);
while (response.Status is ResponseStatus.Queued or ResponseStatus.InProgress)
{
    await Task.Delay(TimeSpan.FromSeconds(1));
    response = await client.GetResponseAsync(response.Id);
}
if (response.Status != ResponseStatus.Completed)
{
    throw new InvalidOperationException($"Background response ended with status: {response.Status}");
}
Console.WriteLine($"Status: {response.Status}");
Console.WriteLine(response.GetOutputText());

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18require "openai"

client = OpenAI::Client.new
response = client.responses.create(
  model: "gpt-6-astra",
  input: "Write a very long novel about otters in space.",
  background: true
)

while [:queued, :in_progress].include?(response.status)
  puts("Current status: #{response.status}")
  sleep(2)
  response = client.responses.retrieve(response.id)
end

puts("Final status: #{response.status}")
puts("Output:")
puts(response.output_text)

Annulation d’une réponse en arrière-plan

Vous pouvez également annuler une réponse en cours de génération, comme dans cet exemple.

Annuler une réponse en cours de génération

Python

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3curl -X POST https://api.openai.com/v1/responses/resp_123/cancel \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY"

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6import OpenAI from "openai";
const client = new OpenAI();

const resp = await client.responses.cancel("resp_123");

console.log(resp.status);

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10import os

from openai import OpenAI

response_id = os.environ["OPENAI_RESPONSE_ID"]
client = OpenAI()

resp = client.responses.cancel(response_id)

print(resp.status)

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19package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go/v3"
)

func main() {
	client := openai.NewClient()

	canceled, err := client.Responses.Cancel(context.Background(), "resp_123")
	if err != nil {
		panic(err)
	}

	fmt.Println(canceled.Status)
}

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8import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;

String responseId = "resp_123";

var response = client.responses().cancel(responseId);

System.out.println(response.status());

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11using OpenAI.Responses;
#pragma warning disable OPENAI001

string key = Environment.GetEnvironmentVariable("OPENAI_API_KEY")!;
ResponsesClient client = new(key);

// Replace this illustrative ID with the background response to cancel.
string responseId = "resp_123";

ResponseResult response = await client.CancelResponseAsync(responseId);
Console.WriteLine(response.Status);

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5require "openai"

client = OpenAI::Client.new
response = client.responses.cancel("resp_123")
puts(response.status)

L’annulation est idempotente. Si vous la demandez plusieurs fois, les appels suivants renvoient simplement l’objet Response final.

Diffusion en continu d’une réponse en arrière-plan

Vous pouvez créer un objet Response en arrière-plan et commencer immédiatement à recevoir ses événements en continu. Cette option est utile si vous pensez que le client risque de se déconnecter du flux et que vous souhaitez pouvoir le reprendre plus tard. Pour cela, créez un objet Response en définissant background et stream sur true. Tenez à jour un « curseur » à partir du sequence_number reçu dans chaque événement du flux.

Actuellement, le premier token d’une réponse en arrière-plan arrive plus tard que celui d’une réponse synchrone. Nous travaillons à réduire cet écart de latence dans les semaines à venir.

Générer et diffuser en continu une réponse en arrière-plan

curl

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14curl https://api.openai.com/v1/responses \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-d '{
  "model": "gpt-6-astra",
  "input": "Write a very long novel about otters in space.",
  "background": true,
  "stream": true
}'

// To resume:
curl "https://api.openai.com/v1/responses/resp_123?stream=true&starting_after=42" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENAI_API_KEY"

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25import OpenAI from "openai";
const client = new OpenAI();

const stream = await client.responses.create({
  model: "gpt-6-astra",
  input: "Write a very long novel about otters in space.",
  background: true,
  stream: true,
});

let cursor = null;
let responseId = null;
for await (const event of stream) {
  console.log(event);
  // Keepalives use connection counters, not stored-event resume positions.
  if (String(event.type) !== "keepalive") cursor = event.sequence_number;
  if ("response" in event && event.response?.id) responseId = event.response.id;
}

// If the connection drops, resume streaming from the last stored-event cursor:
// const resumedStream = await client.responses.retrieve(responseId, {
//   stream: true,
//   starting_after: cursor,
// });
// for await (const event of resumedStream) { ... }

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28from openai import OpenAI

client = OpenAI()

# Fire off an async response but also start streaming immediately
stream = client.responses.create(
    model="gpt-6-astra",
    input="Write a very long novel about otters in space.",
    background=True,
    stream=True,
)

cursor = None
response_id = None
for event in stream:
    print(event)
    if event.type == "response.created":
        response_id = event.response.id
    # Keepalives use connection counters, not stored-event resume positions.
    if event.type != "keepalive":
        cursor = event.sequence_number

    # If your connection drops, the response continues running and you can reconnect:
    # with client.responses.stream(response_id=response_id, starting_after=cursor) as resumed:
    #     for event in resumed:
    #         print(event)
    if event.type == "response.created":
        response_id = event.response.id

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49package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go/v3"
	"github.com/openai/openai-go/v3/responses"
)

func main() {
	client := openai.NewClient()

	stream := client.Responses.NewStreaming(context.Background(), responses.ResponseNewParams{
		Model:      "gpt-6-astra",
		Background: openai.Bool(true),
		Input: responses.ResponseNewParamsInputUnion{
			OfString: openai.String("Write a very long novel about otters in space."),
		},
	})
	defer stream.Close()
	var cursor int64
	var responseID string
	for stream.Next() {
		event := stream.Current()
		fmt.Println(event.Type)
		// Keepalives use connection counters, not stored-event resume positions.
		if event.Type != "keepalive" {
			cursor = event.SequenceNumber
		}
		if event.Response.ID != "" {
			responseID = event.Response.ID
		}
	}
	if err := stream.Err(); err != nil {
		panic(err)
	}
	fmt.Printf("response %s last cursor %d\n", responseID, cursor)

	// If the connection drops, resume streaming from the last cursor:
	// resumed := client.Responses.GetStreaming(
	// 	context.Background(),
	// 	responseID,
	// 	responses.ResponseGetParams{StartingAfter: openai.Int(cursor)},
	// )
	// for resumed.Next() {
	// 	fmt.Println(resumed.Current().Type)
	// }
}

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106import com.fasterxml.jackson.databind.json.JsonMapper;
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.core.RequestOptions;
import com.openai.core.http.StreamResponse;
import com.openai.errors.OpenAIIoException;
import com.openai.models.responses.ResponseCreateParams;
import com.openai.models.responses.ResponseRetrieveParams;
import com.openai.models.responses.ResponseStreamEvent;
import java.time.Duration;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.atomic.AtomicReference;

ResponseCreateParams params =
    ResponseCreateParams.builder()
        .model("gpt-6-astra")
        .input("Write a very long novel about otters in space.")
        .background(true)
        .build();

AtomicLong lastSequenceNumber = new AtomicLong(-1);
AtomicReference<String> responseId = new AtomicReference<>("");
AtomicBoolean streamCompleted = new AtomicBoolean(false);
JsonMapper json = new JsonMapper();
// This long-running response can exceed the SDK's default request deadline.
RequestOptions streamOptions = RequestOptions.builder().timeout(Duration.ofMinutes(30)).build();
try (StreamResponse<ResponseStreamEvent> stream =
    client.responses().createStreaming(params, streamOptions)) {
  stream.stream()
      .forEach(
          event -> {
            if (event.failed().isPresent()
                || event.incomplete().isPresent()
                || event.error().isPresent()) {
              throw new IllegalStateException("Background response did not complete");
            }
            var data = json.valueToTree(event);
            // Keepalives count connection traffic, not stored response events.
            if (data.path("type").asText().startsWith("response.")
                && data.path("sequence_number").isIntegralNumber()) {
              lastSequenceNumber.set(data.path("sequence_number").asLong());
            }
            event
                .created()
                .ifPresent(
                    created -> {
                      responseId.set(created.response().id());
                      System.out.println("response.created");
                    });
            event
                .outputTextDelta()
                .ifPresent(
                    delta -> {
                      System.out.println("response.output_text.delta");
                    });
            event
                .completed()
                .ifPresent(
                    completed -> {
                      streamCompleted.set(true);
                      System.out.println("response.completed");
                    });
          });
} catch (OpenAIIoException error) {
  // Resume an interrupted stream once, from its stored-event checkpoint.
  if (Thread.currentThread().isInterrupted()
      || streamCompleted.get()
      || responseId.get().isBlank()
      || lastSequenceNumber.get() < 0) {
    throw error;
  }
}
System.out.println(
    "Response " + responseId.get() + "; last sequence number " + lastSequenceNumber.get());
if (!streamCompleted.get()) {
  if (Thread.currentThread().isInterrupted()
      || responseId.get().isBlank()
      || lastSequenceNumber.get() < 0) {
    throw new IllegalStateException("Stream ended without a resumable checkpoint");
  }
  try (StreamResponse<ResponseStreamEvent> resumed =
      client
          .responses()
          .retrieveStreaming(
              ResponseRetrieveParams.builder()
                  .responseId(responseId.get())
                  .startingAfter(lastSequenceNumber.get())
                  .build(),
              streamOptions)) {
    resumed.stream()
        .forEach(
            event -> {
              if (event.failed().isPresent()
                  || event.incomplete().isPresent()
                  || event.error().isPresent()) {
                throw new IllegalStateException("Resumed response did not complete");
              }
              event.outputTextDelta().ifPresent(delta -> System.out.println(delta.delta()));
              event.completed().ifPresent(completed -> streamCompleted.set(true));
            });
  }
  if (!streamCompleted.get()) {
    throw new IllegalStateException("Resumed response did not complete");
  }
}

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82using OpenAI.Responses;
#pragma warning disable OPENAI001

string key = Environment.GetEnvironmentVariable("OPENAI_API_KEY")!;
ResponsesClient client = new(key);

CreateResponseOptions options = new()
{
    Model = "gpt-6-astra",
    BackgroundModeEnabled = true,
    StreamingEnabled = true,
};
options.InputItems.Add(
    ResponseItem.CreateUserMessageItem("Write a very long novel about otters in space.")
);

string? responseId = null;
int lastSequenceNumber = -1;
bool completed = false;

void HandleUpdate(StreamingResponseUpdate update)
{
    lastSequenceNumber = update.SequenceNumber;
    switch (update)
    {
        case StreamingResponseCreatedUpdate created:
            responseId = created.Response.Id;
            break;
        case StreamingResponseOutputTextDeltaUpdate text:
            Console.Write(text.Delta);
            break;
        case StreamingResponseCompletedUpdate:
            completed = true;
            break;
        case StreamingResponseFailedUpdate:
            throw new InvalidOperationException("The background response failed.");
        case StreamingResponseIncompleteUpdate:
            throw new InvalidOperationException("The background response was incomplete.");
        case StreamingResponseErrorUpdate error:
            throw new InvalidOperationException($"The response stream failed: {error.Message}");
    }
}

try
{
    await foreach (
        StreamingResponseUpdate update in client.CreateResponseStreamingAsync(options)
    )
    {
        HandleUpdate(update);
    }
}
catch (Exception error)
    when (error is HttpRequestException or IOException && responseId is not null)
{
    // The background response continues after its streaming connection is interrupted.
}

if (!completed)
{
    if (responseId is null)
    {
        throw new InvalidOperationException("The response stream ended before providing its ID.");
    }

    GetResponseOptions resumeOptions = new(responseId)
    {
        StartingAfter = lastSequenceNumber,
        StreamingEnabled = true,
    };
    await foreach (StreamingResponseUpdate update in client.GetResponseStreamingAsync(resumeOptions))
    {
        HandleUpdate(update);
    }

    if (!completed)
    {
        throw new InvalidOperationException(
            "The resumed response stream ended before the background response completed."
        );
    }
}

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31require "openai"

# An uncapped background novel can run beyond the SDK's default ten minutes.
client = OpenAI::Client.new(timeout: 30 * 60)
stream = client.responses.stream(
  model: "gpt-6-astra",
  input: "Write a very long novel about otters in space.",
  background: true
)

last_sequence_number = -1
response_id = ""
begin
  stream.each do |event|
    puts(event.type)
    # The SDK filters transport keepalives before yielding stored events.
    last_sequence_number = event.sequence_number || last_sequence_number
    if event.is_a?(OpenAI::Models::Responses::ResponseCreatedEvent)
      response_id = event.response.id
    end
  end
ensure
  stream.close
end

puts("response #{response_id} last cursor #{last_sequence_number}")

# If the connection drops, resume from the last sequence number:
# client.responses.stream(response_id: response_id, starting_after: last_sequence_number).each do |event|
#   puts(event.type)
# end

Limites

Les requêtes en arrière-plan peuvent utiliser store=false, mais les données de réponse sont stockées temporairement pour permettre l’exécution asynchrone et la consultation périodique de la réponse.
Pour annuler une réponse synchrone, fermez la connexion.
Vous pouvez ouvrir un nouveau flux pour une réponse en arrière-plan uniquement si vous avez créé cette réponse avec stream=true.

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