コンピューターの使用：連携の実装例

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11import { chromium } from "playwright";

const browser = await chromium.launch({
  headless: false,
  chromiumSandbox: true,
  env: {},
  args: ["--disable-extensions", "--disable-file-system"],
});
const page = await browser.newPage({
  viewport: { width: 1280, height: 720 },
});

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36import { execFile } from "node:child_process";
import { promisify } from "node:util";

const execFileAsync = promisify(execFile);

async function dockerExec(
  containerName,
  executable,
  args = [],
  { decode = true, env = {} } = {}
) {
  const environmentArgs = Object.entries(env).flatMap(([name, value]) => [
    "--env",
    `${name}=${value}`,
  ]);
  const output = await execFileAsync(
    "docker",
    [
      "exec",
      ...environmentArgs,
      containerName,
      executable,
      ...args.map(String),
    ],
    {
      encoding: decode ? "utf8" : "buffer",
      maxBuffer: 10 * 1024 * 1024,
    }
  );
  return output.stdout;
}

const vm = {
  display: ":99",
  containerName: "cua-image",
};

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37import OpenAI from "openai";

const client = new OpenAI();

async function computerUseLoop(target, response) {
  while (true) {
    const computerCall = response.output.find(
      (item) => item.type === "computer_call"
    );
    if (!computerCall) {
      return response;
    }

    await handleComputerActions(target, computerCall.actions);

    const screenshot = await captureScreenshot(target);
    const screenshotBase64 = Buffer.from(screenshot).toString("base64");
    const output = {
      type: "computer_screenshot",
      image_url: `data:image/png;base64,${screenshotBase64}`,
      detail: "original",
    };

    response = await client.responses.create({
      model: "gpt-5.6-sol",
      tools: [{ type: "computer" }],
      previous_response_id: response.id,
      input: [
        {
          type: "computer_call_output",
          call_id: computerCall.call_id,
          output,
        },
      ],
    });
  }
}

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234import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.core.JsonValue;
import com.openai.models.responses.ComputerAction;
import com.openai.models.responses.ResponseComputerToolCallOutputScreenshot;
import com.openai.models.responses.ResponseCreateParams;
import com.openai.models.responses.ResponseInputItem;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.Base64;
import java.util.List;
import java.util.Locale;
import java.util.Map;

@FunctionalInterface
interface ContainerAction {
  void run() throws Exception;
}

static int wheelUnits(long pixels) {
  if (pixels == 0) return 0;
  long rounded = Math.round(pixels / 100.0);
  if (rounded == 0) rounded = Long.signum(pixels);
  return Math.toIntExact(Math.max(-100, Math.min(100, rounded)));
}

static String isolatedContainerName(String name) {
  if (name == null || !name.matches("[A-Za-z0-9][A-Za-z0-9_.-]{0,127}")) {
    throw new IllegalStateException(
        "Computer use requires an explicitly isolated Docker container; "
            + "start the documented VM and set OPENAI_EXAMPLE_COMPUTER_CONTAINER.");
  }
  return name;
}

record IsolatedContainer(String name) {
  byte[] run(String... arguments) throws IOException, InterruptedException {
    var command = new ArrayList<>(List.of("docker", "exec", "--env", "DISPLAY=:99", name));
    command.addAll(List.of(arguments));

    Process process = new ProcessBuilder(command).redirectErrorStream(true).start();
    byte[] output = process.getInputStream().readAllBytes();
    if (process.waitFor() != 0) {
      throw new IOException(
          "Isolated Docker command failed: " + new String(output, StandardCharsets.UTF_8));
    }
    return output;
  }

  String key(String name) {
    return switch (name.toUpperCase(Locale.ROOT)) {
      case "CTRL", "CONTROL" -> "ctrl";
      case "SHIFT" -> "shift";
      case "ALT", "OPTION" -> "alt";
      case "META", "CMD", "COMMAND" -> "super";
      case "ENTER", "RETURN" -> "Return";
      case "TAB" -> "Tab";
      case "ESC", "ESCAPE" -> "Escape";
      case "BACKSPACE" -> "BackSpace";
      case "DELETE" -> "Delete";
      case "ARROWLEFT" -> "Left";
      case "ARROWRIGHT" -> "Right";
      case "ARROWUP" -> "Up";
      case "ARROWDOWN" -> "Down";
      default -> {
        if (name.length() != 1 || !Character.isLetterOrDigit(name.charAt(0))) {
          throw new IllegalArgumentException("Unsupported key: " + name);
        }
        yield name;
      }
    };
  }

  void withModifiers(List<String> modifiers, ContainerAction action) throws Exception {
    var keys = modifiers.stream().map(this::key).toList();
    for (String key : keys) run("xdotool", "keydown", key);
    try {
      action.run();
    } finally {
      for (int index = keys.size() - 1; index >= 0; index--) {
        run("xdotool", "keyup", keys.get(index));
      }
    }
  }

  void move(long x, long y) throws IOException, InterruptedException {
    if (x < 0 || y < 0) throw new IllegalArgumentException("Negative mouse coordinates");
    run("xdotool", "mousemove", Long.toString(x), Long.toString(y));
  }

  String button(String name) {
    return switch (name) {
      case "left" -> "1";
      case "wheel" -> "2";
      case "right" -> "3";
      case "back" -> "8";
      case "forward" -> "9";
      default -> throw new IllegalArgumentException("Unsupported button: " + name);
    };
  }

  void scroll(long pixels, String negative, String positive)
      throws IOException, InterruptedException {
    int units = wheelUnits(pixels);
    if (units != 0) {
      run(
          "xdotool",
          "click",
          "--repeat",
          Integer.toString(Math.abs(units)),
          units < 0 ? negative : positive);
    }
  }

  void execute(ComputerAction action) throws Exception {
    if (action.isScreenshot()) return;
    if (action.isWait()) {
      Thread.sleep(1000);
      return;
    }
    if (action.isType()) {
      run("xdotool", "type", "--delay", "0", "--", action.asType().text());
      return;
    }
    if (action.isKeypress()) {
      var keys = action.asKeypress().keys().stream().map(this::key).toList();
      run("xdotool", "key", String.join("+", keys));
      return;
    }
    if (action.isClick()) {
      var click = action.asClick();
      withModifiers(
          click.keys().orElse(List.of()),
          () -> {
            move(click.x(), click.y());
            run("xdotool", "click", button(click.button().asString()));
          });
      return;
    }
    if (action.isDoubleClick()) {
      var click = action.asDoubleClick();
      withModifiers(
          click.keys().orElse(List.of()),
          () -> {
            move(click.x(), click.y());
            run("xdotool", "click", "--repeat", "2", "1");
          });
      return;
    }
    if (action.isMove()) {
      var move = action.asMove();
      withModifiers(move.keys().orElse(List.of()), () -> move(move.x(), move.y()));
      return;
    }
    if (action.isScroll()) {
      var scroll = action.asScroll();
      withModifiers(
          scroll.keys().orElse(List.of()),
          () -> {
            move(scroll.x(), scroll.y());
            scroll(scroll.scrollY(), "4", "5");
            scroll(scroll.scrollX(), "6", "7");
          });
      return;
    }
    if (action.isDrag()) {
      var drag = action.asDrag();
      if (drag.path().size() < 2) {
        throw new IllegalArgumentException("Drag path requires at least two points");
      }
      withModifiers(
          drag.keys().orElse(List.of()),
          () -> {
            var first = drag.path().get(0);
            move(first.x(), first.y());
            run("xdotool", "mousedown", "1");
            try {
              for (var point : drag.path()) move(point.x(), point.y());
            } finally {
              run("xdotool", "mouseup", "1");
            }
          });
      return;
    }
    throw new IllegalArgumentException("Unsupported computer action: " + action);
  }
}

var container =
    new IsolatedContainer(
        isolatedContainerName(System.getenv("OPENAI_EXAMPLE_COMPUTER_CONTAINER")));
var response = client.responses().retrieve(System.getenv("OPENAI_RESPONSE_ID"));
while (true) {
  var computerCall =
      response.output().stream().flatMap(item -> item.computerCall().stream()).findFirst();
  if (computerCall.isEmpty()) break;

  for (ComputerAction action : computerCall.get().actions().orElse(List.of())) {
    container.execute(action);
  }

  byte[] screenshot = container.run("import", "-window", "root", "png:-");
  String encoded = Base64.getEncoder().encodeToString(screenshot);

  response =
      client
          .responses()
          .create(
              ResponseCreateParams.builder()
                  .model("gpt-5.6-sol")
                  .previousResponseId(response.id())
                  .putAdditionalBodyProperty(
                      "tools", JsonValue.from(List.of(Map.of("type", "computer"))))
                  .inputOfResponse(
                      List.of(
                          ResponseInputItem.ofComputerCallOutput(
                              ResponseInputItem.ComputerCallOutput.builder()
                                  .callId(computerCall.get().callId())
                                  .output(
                                      ResponseComputerToolCallOutputScreenshot.builder()
                                          .imageUrl("data:image/png;base64," + encoded)
                                          .putAdditionalProperty(
                                              "detail", JsonValue.from("original"))
                                          .build())
                                  .build())))
                  .build());
}

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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17import OpenAI from "openai";

const client = new OpenAI();

const response = await client.responses.create({
  model: "computer-use-preview",
  tools: [
    {
      type: "computer_use_preview",
      display_width: 1024,
      display_height: 768,
      environment: "browser",
    },
  ],
  input: "Check whether the Filters panel is open.",
  truncation: "auto",
});

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23package 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:      "computer-use-preview",
		Tools:      []responses.ToolUnionParam{responses.ToolParamOfComputerUsePreview(768, 1024, responses.ComputerUsePreviewToolEnvironmentBrowser)},
		Input:      responses.ResponseNewParamsInputUnion{OfString: openai.String("Check whether the Filters panel is open.")},
		Truncation: responses.ResponseNewParamsTruncationAuto,
	})
	if err != nil {
		panic(err)
	}
	fmt.Println(response.Output)
}

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28import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.core.JsonValue;
import com.openai.models.responses.ResponseCreateParams;
import java.util.List;
import java.util.Map;

ResponseCreateParams params =
    ResponseCreateParams.builder()
        .model("computer-use-preview")
        .input("Check whether the Filters panel is open.")
        .truncation(ResponseCreateParams.Truncation.AUTO)
        .putAdditionalBodyProperty(
            "tools",
            JsonValue.from(
                List.of(
                    Map.of(
                        "type",
                        "computer_use_preview",
                        "display_width",
                        1024,
                        "display_height",
                        768,
                        "environment",
                        "browser"))))
        .build();

client.responses().create(params).output().forEach(System.out::println);