Interactions API 現已正式發布。建議使用這個 API，存取所有最新功能和模型。

Google 會運用 AI 技術將內容翻譯成你偏好的語言，但可能會出錯。

背景執行

對於長時間執行的工作 (例如深度研究、複雜推論或多步驟代理執行作業)，連線逾時可能會中斷標準 HTTP 要求 (通常會在 60 秒後關閉)。Interactions API 提供背景執行功能，可非同步執行這些工作。

如要讓互動持續執行，直到伺服器完成工作為止，請在建立互動時設定 "background": true。API 會立即傳回互動 ID，用戶端應用程式可使用此 ID 輪詢狀態、串流進度，或重新連線至已中斷的串流。

標準 Gemini 模型 (例如 gemini-3.8-flash 和 gemini-3.1-pro-preview) 和 Managed Agents (例如 antigravity-preview-09-2026) 支援背景執行。

建立背景互動

如要啟動背景互動，請在建立資源時將 background 參數設為 true。

Python

from google import genai

client = genai.Client()

interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input="Write a guide on space exploration.",
    background=True,
)
print(f"Created background interaction ID: {interaction.id}")

JavaScript

import { GoogleGenAI } from "@google/genai";

const client = new GoogleGenAI({});

const interaction = await client.interactions.create({
    model: "gemini-3.8-flash",
    input: "Write a guide on space exploration.",
    background: true,
});
console.log(`Created background interaction ID: ${interaction.id}`);

Java

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.CreateModelInteraction;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;

Client client = new Client();

CreateModelInteraction params =
    CreateModelInteraction.builder()
        .model("gemini-3.8-flash")
        .input(InteractionsInput.of("Write a guide on space exploration."))
        .background(true)
        .build();

Interaction interaction =
    client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();
System.out.println("Created background interaction ID: " + interaction.id().orElse(""));

REST

curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Api-Revision: 2026-05-20" \
  -d '{
    "model": "gemini-3.8-flash",
    "input": "Write a guide on space exploration.",
    "background": true
  }'

背景執行的運作方式

建立背景互動時，工作會在伺服器上非同步執行。互動會經歷各種執行狀態：

in_progress：伺服器正在執行互動 (例如執行程式碼或研究)。
requires_action：互動已暫停，等待用戶端輸入內容 (例如確認工具執行或回答問題)。
completed：互動已順利完成，且輸出內容可用。
failed：執行期間發生錯誤 (例如工具故障或超出速率限制)。
cancelled：用戶端要求停止執行。

用途

背景執行功能適用於：

代理執行：需要執行程式碼、瀏覽網頁或協調子代理 (例如 antigravity-preview-09-2026) 的工作。
Deep Research：使用 deep-research-preview-04-2026 或 deep-research-max-preview-04-2026 執行，需要幾分鐘。
推論時間過長：模型思考步驟超過標準 HTTP 連線限制的工作。

擷取結果

使用輪詢或串流，取得背景互動結果。

輪詢模式 (非阻斷)

輪詢會使用非封鎖 GET 要求定期檢查互動狀態，直到達到終端狀態為止。

Python

import time
from google import genai

client = genai.Client()

interaction = client.interactions.get(id="YOUR_INTERACTION_ID")

while interaction.status == "in_progress":
    time.sleep(5)
    interaction = client.interactions.get(id=interaction.id)

if interaction.status == "completed":
    print(interaction.output_text)
else:
    print(f"Finished with status: {interaction.status}")

JavaScript

import { GoogleGenAI } from "@google/genai";

const client = new GoogleGenAI({});

let interaction = await client.interactions.get("YOUR_INTERACTION_ID");

while (interaction.status === "in_progress") {
    await new Promise(resolve => setTimeout(resolve, 5000));
    interaction = await client.interactions.get(interaction.id);
}

if (interaction.status === "completed") {
    console.log(interaction.output_text);
} else {
    console.log(`Finished with status: ${interaction.status}`);
}

Java

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionStatus;
import com.google.genai.gaos.models.operations.GetInteractionByIdRequest;

Client client = new Client();

Interaction interaction =
    client.interactions
        .get(GetInteractionByIdRequest.builder().id("YOUR_INTERACTION_ID").build())
        .interaction()
        .get();

while (InteractionStatus.IN_PROGRESS.equals(interaction.status().orElse(null))) {
  Thread.sleep(5000);
  interaction =
      client.interactions
          .get(GetInteractionByIdRequest.builder().id(interaction.id().get()).build())
          .interaction()
          .get();
}

if (InteractionStatus.COMPLETED.equals(interaction.status().orElse(null))) {
  System.out.println(interaction.outputText().orElse(""));
} else {
  System.out.println(
      "Finished with status: " + interaction.status().map(InteractionStatus::value).orElse(""));
}

REST

curl -X GET "https://generativelanguage.googleapis.com/v1beta/interactions/YOUR_INTERACTION_ID" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Api-Revision: 2026-05-20"

串流模式

如果網路中斷導致串流中斷，串流可以從上次收到的事件繼續。每個 delta 的酬載中都包含專屬的 event_id。將這個 ID 做為 last_event_id 傳遞，即可從該事件繼續串流。

Python

import time
from google import genai

client = genai.Client()
interaction_id = "YOUR_INTERACTION_ID"

def stream_with_reconnect(interaction_id: str):
    last_event_id = None
    while True:
        try:
            # Retrieve the stream. If resuming, pass last_event_id
            stream = client.interactions.get(
                id=interaction_id,
                stream=True,
                last_event_id=last_event_id
            )

            for event in stream:
                # Log event updates and capture event_id if present
                if event.event_id:
                    last_event_id = event.event_id

                if event.event_type == "step.delta" and event.delta.type == "text":
                    print(event.delta.text, end="", flush=True)

                if event.event_type == "interaction.completed":
                    return

        except Exception as e:
            print(f"\n[Connection lost: {e}. Reconnecting in 3s...]")
            time.sleep(3)

stream_with_reconnect(interaction_id)

JavaScript

import { GoogleGenAI } from "@google/genai";

const client = new GoogleGenAI({});
const interactionId = "YOUR_INTERACTION_ID";

async function streamWithReconnect(id) {
    let lastEventId = undefined;
    while (true) {
        try {
            // Retrieve the stream. If resuming, pass last_event_id in options
            const stream = await client.interactions.get(id, {
                stream: true,
                last_event_id: lastEventId
            });

            for await (const event of stream) {
                // Capture event_id if present
                const idVal = event.event_id || event.id;
                if (idVal) {
                    lastEventId = idVal;
                }

                if (event.event_type === "step.delta" && event.delta?.type === "text") {
                    process.stdout.write(event.delta.text);
                }

                if (event.event_type === "interaction.completed") {
                    return;
                }
            }
        } catch (error) {
            console.log(`\n[Connection lost: ${error.message}. Reconnecting in 3s...]`);
            await new Promise(resolve => setTimeout(resolve, 3000));
        }
    }
}

await streamWithReconnect(interactionId);

Java

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.InteractionCompletedEvent;
import com.google.genai.gaos.models.interactions.InteractionSSEEvent;
import com.google.genai.gaos.models.interactions.InteractionSSEStreamEvent;
import com.google.genai.gaos.models.interactions.StepDelta;
import com.google.genai.gaos.models.interactions.TextDelta;
import com.google.genai.gaos.models.operations.GetInteractionByIdRequest;
import com.google.genai.gaos.utils.EventStream;

Client client = new Client();
String interactionId = "YOUR_INTERACTION_ID";
String lastEventId = null;
boolean completed = false;

while (!completed) {
  try (EventStream<InteractionSSEStreamEvent> stream =
      client.interactions
          .get(
              GetInteractionByIdRequest.builder()
                  .id(interactionId)
                  .stream(true)
                  .lastEventId(lastEventId)
                  .build())
          .events()) {
    for (InteractionSSEStreamEvent streamEvent : stream) {
      InteractionSSEEvent event = streamEvent.data().orElse(null);
      if (event instanceof StepDelta) {
        StepDelta stepDelta = (StepDelta) event;
        if (stepDelta.eventId().isPresent()) {
          lastEventId = stepDelta.eventId().get();
        }
        if (stepDelta.delta().isPresent() && stepDelta.delta().get() instanceof TextDelta) {
          System.out.print(((TextDelta) stepDelta.delta().get()).text().orElse(""));
          System.out.flush();
        }
      } else if (event instanceof InteractionCompletedEvent) {
        completed = true;
        break;
      }
    }
  } catch (Exception e) {
    System.out.println("\n[Connection lost: " + e.getMessage() + ". Reconnecting in 3s...]");
    Thread.sleep(3000);
  }
}

REST

curl -N -X GET "https://generativelanguage.googleapis.com/v1beta/interactions/YOUR_INTERACTION_ID?stream=true&last_event_id=YOUR_LAST_EVENT_ID" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Api-Revision: 2026-05-20"

多轉折對話

後續互動可使用 previous_interaction_id 鏈結至背景對話，但須遵守下列限制：

封鎖進行中的執行作業：將後續互動鏈結至狀態為 in_progress 的互動，會傳回 400 Bad Request 錯誤。請等待互動達到 completed 狀態，再開始下一個互動。
Managed Agents 的環境參數：為 Managed Agents (例如 antigravity-preview-09-2026) 串連互動時，要求必須同時包含 previous_interaction_id 和 environment。

以下範例說明如何串連互動：

Python

import time
from google import genai

client = genai.Client()
agent_model = "antigravity-preview-09-2026"

# First interaction: Provision sandbox environment and execute first instruction
interaction1 = client.interactions.create(
    agent=agent_model,
    input="Create a folder named project/ and write hello.py inside.",
    environment="remote",
    background=True
)

# Wait for completion
while True:
    check = client.interactions.get(id=interaction1.id)
    if check.status != "in_progress":
        break
    time.sleep(2)

# Second interaction: Chain using previous_interaction_id and environment
interaction2 = client.interactions.create(
    agent=agent_model,
    input="List all files in the project/ directory.",
    previous_interaction_id=interaction1.id,
    environment="remote",
    background=True
)

JavaScript

import { GoogleGenAI } from "@google/genai";

const client = new GoogleGenAI({});
const agentModel = "antigravity-preview-09-2026";

// First interaction: Provision sandbox environment and execute first instruction
const interaction1 = await client.interactions.create({
    agent: agentModel,
    input: "Create a folder named project/ and write hello.py inside.",
    environment: "remote",
    background: true
});

// Wait for completion
while (true) {
    const check = await client.interactions.get(interaction1.id);
    if (check.status !== "in_progress") {
        break;
    }
    await new Promise(resolve => setTimeout(resolve, 2000));
}

// Second interaction: Chain using previous_interaction_id and environment
const interaction2 = await client.interactions.create({
    agent: agentModel,
    input: "List all files in the project/ directory.",
    previous_interaction_id: interaction1.id,
    environment: "remote",
    background: true
});

Java

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.CreateModelInteraction;
import com.google.genai.gaos.models.interactions.CreateModelInteractionEnvironment;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionStatus;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
import com.google.genai.gaos.models.operations.GetInteractionByIdRequest;

Client client = new Client();
String agentModel = "antigravity-preview-09-2026";

// First interaction: Provision sandbox environment and execute first instruction
CreateModelInteraction params1 =
    CreateModelInteraction.builder()
        .model(agentModel)
        .input(InteractionsInput.of("Create a folder named project/ and write hello.py inside."))
        .environment(CreateModelInteractionEnvironment.of("remote"))
        .background(true)
        .build();

Interaction interaction1 =
    client.interactions.create(CreateInteractionRequestBody.of(params1)).interaction().get();

// Wait for completion
while (true) {
  Interaction check =
      client.interactions
          .get(GetInteractionByIdRequest.builder().id(interaction1.id().get()).build())
          .interaction()
          .get();
  if (!InteractionStatus.IN_PROGRESS.equals(check.status().orElse(null))) {
    break;
  }
  Thread.sleep(2000);
}

// Second interaction: Chain using previousInteractionId and environment
CreateModelInteraction params2 =
    CreateModelInteraction.builder()
        .model(agentModel)
        .input(InteractionsInput.of("List all files in the project/ directory."))
        .previousInteractionId(interaction1.id().get())
        .environment(CreateModelInteractionEnvironment.of("remote"))
        .background(true)
        .build();

Interaction interaction2 =
    client.interactions.create(CreateInteractionRequestBody.of(params2)).interaction().get();

REST

# Chain second interaction (Make sure FIRST_INTERACTION_ID has status 'completed')
curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Api-Revision: 2026-05-20" \
  -d '{
    "agent": "antigravity-preview-09-2026",
    "input": "List all files in the project/ directory.",
    "previous_interaction_id": "FIRST_INTERACTION_ID",
    "environment": "remote",
    "background": true
  }'

取消和刪除

使用取消和刪除要求控制執行作業並管理儲存空間：

取消 (POST /interactions/{id}/cancel)：停止執行中的工作。狀態會轉換為 cancelled。伺服器上的清除動作可能會導致 GET 要求中的狀態更新稍微延遲。
刪除 (DELETE /interactions/{id})：從伺服器移除互動記錄。後續的 GET 要求會傳回 404 Not Found 錯誤。

Python

from google import genai

client = genai.Client()

# Cancel a running interaction
client.interactions.cancel(id="YOUR_INTERACTION_ID")

# Delete the interaction record entirely
client.interactions.delete(id="YOUR_INTERACTION_ID")

JavaScript

import { GoogleGenAI } from "@google/genai";

const client = new GoogleGenAI({});

// Cancel a running interaction
await client.interactions.cancel("YOUR_INTERACTION_ID");

// Delete the interaction record entirely
await client.interactions.delete("YOUR_INTERACTION_ID");

Java

import com.google.genai.Client;

Client client = new Client();

// Cancel a running interaction
client.interactions.cancel("YOUR_INTERACTION_ID");

// Delete the interaction record entirely
client.interactions.delete("YOUR_INTERACTION_ID");

REST

# Cancel the interaction
curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions/YOUR_INTERACTION_ID/cancel" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Api-Revision: 2026-05-20"

# Delete the interaction
curl -X DELETE "https://generativelanguage.googleapis.com/v1beta/interactions/YOUR_INTERACTION_ID" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Api-Revision: 2026-05-20"

後續步驟

請參閱「Interactions API 總覽」，瞭解工作階段和狀態管理。
如要進一步瞭解即時事件更新，請參閱「串流互動」指南。
請參閱受管理代理程式快速入門導覽課程，瞭解如何建構有狀態的多輪對話代理程式。