Yönetilen aracıları kullanmaya hızlıca başlama

Bu kılavuzda, Antigravity agent'ı kullanarak Gemini API'de Yönetilen Ajanlar oluşturma ve kullanma adımları açıklanmaktadır. İlk temsilci görüşmenizi yapacak, çok aşamalı etkileşimli bir sohbete devam edecek, yanıtı akış şeklinde gösterecek, korumalı alandan dosya indirecek ve Antigravity tarafından yönetilen temsilciyle çalışacaksınız.

İlk ajan etkileşiminizi çalıştırma

Interactions API'ye yapılan tek bir çağrı, Linux özel korumalı alanını sağlar, aracı döngüsünü çalıştırır ve sonucu döndürür. Üç parametre tanımlarsınız:

  • Önceden tanımlanmış ve genel amaçlı yönetilen aracımızın mevcut sürümü olan agent değerini "antigravity-preview-09-2026" olarak iletin.
  • Yeni ve temiz bir sandbox ortamı sağlamak için environment="remote" tanımlayın.

  • Ajanın ne yapmasını istediğinizi tanımlayan bir giriş oluşturun.

Python

from google import genai

client = genai.Client()

interaction = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input="Write a Python script that generates the first 20 Fibonacci numbers and saves them to fibonacci.txt. Then read the file and print its contents.",
    environment="remote",
)

# Print the agent's final output
print(f"Interaction ID: {interaction.id}")
print(f"Environment ID: {interaction.environment_id}")
print(f"Output: {interaction.output_text}")

JavaScript

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

const client = new GoogleGenAI({});

const interaction = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    input: "Write a Python script that generates the first 20 Fibonacci numbers and saves them to fibonacci.txt. Then read the file and print its contents.",
    environment: "remote",
});

console.log(`Interaction ID: ${interaction.id}`);
console.log(`Environment ID: ${interaction.environment_id}`);

console.log(`Output: ${interaction.output_text}`);

Java

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.AgentOption;
import com.google.genai.gaos.models.interactions.CreateAgentInteraction;
import com.google.genai.gaos.models.interactions.CreateAgentInteractionEnvironment;
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();

CreateAgentInteraction params = CreateAgentInteraction.builder()
    .agent(AgentOption.of("antigravity-preview-09-2026"))
    .input(InteractionsInput.of("Write a Python script that generates the first 20 Fibonacci numbers and saves them to fibonacci.txt. Then read the file and print its contents."))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .build();

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

// Print the agent's final output
System.out.println("Interaction ID: " + interaction.id().orElse(""));
System.out.println("Environment ID: " + interaction.environmentId().orElse(""));
System.out.println("Output: " + interaction.outputText().orElse(""));

Go

package main

import (
    "context"
    "fmt"
    "log"

    "google.golang.org/genai"
    "google.golang.org/genai/interactions/models/interactions"
    "google.golang.org/genai/interactions/models/operations"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, nil)
    if err != nil {
        log.Fatal(err)
    }

    res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
            Agent:       interactions.AgentOption("antigravity-preview-09-2026"),
            Input:       interactions.NewInteractionsInput("Write a Python script that generates the first 20 Fibonacci numbers and saves them to fibonacci.txt. Then read the file and print its contents."),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
        }),
    })
    if err != nil {
        log.Fatal(err)
    }

    interaction := res.Interaction
    // Print the agent's final output
    fmt.Printf("Interaction ID: %s\n", *interaction.ID)
    fmt.Printf("Environment ID: %s\n", *interaction.EnvironmentID)
    fmt.Printf("Output: %s\n", *interaction.OutputText)
}

REST

curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-d '{
    "agent": "antigravity-preview-09-2026",
    "input": [{"type": "text", "text": "Write a Python script that generates the first 20 Fibonacci numbers and saves them to fibonacci.txt. Then read the file and print its contents."}],
    "environment": {"type": "remote"}
}'

Yanıt, bir Interaction nesnesi döndürür. Aynı sandbox'ta sohbete devam etmek için interaction.id ve interaction.environment_id değerlerini saklayın. Ajanın son yanıtına erişmek için interaction.output_text simgesini kullanın. interaction.steps, aracının gerçekleştirdiği her adımı (akıl yürütme, araç çağrıları, kod yürütme) listeler.

Sohbete devam etme (çok adımlı)

API, iki bağımsız durum boyutunu izler:

  • Sohbet bağlamı: Sohbet geçmişi, akıl yürütme izi, araç kullanımı, previous_interaction_id kullanımı.
  • Ortam durumu: environment kullanılarak dosyalar, yüklü paketler ve sanal alan durumu.

Devam etmek için her ikisini de ilgili yere yerleştirin:

Python

interaction_2 = client.interactions.create(
    agent="antigravity-preview-09-2026",
    previous_interaction_id=interaction.id,
    environment=interaction.environment_id,
    input="Now plot the Fibonacci sequence as a line chart and save it as chart.png.",
)

print(interaction_2.output_text)

JavaScript

const interaction2 = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    previous_interaction_id: interaction.id,
    environment: interaction.environment_id,
    input: "Now plot the Fibonacci sequence as a line chart and save it as chart.png.",
}, { timeout: 300_000 });

console.log(interaction2.output_text);

Java

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.AgentOption;
import com.google.genai.gaos.models.interactions.CreateAgentInteraction;
import com.google.genai.gaos.models.interactions.CreateAgentInteractionEnvironment;
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();
String interactionId = "INTERACTION_ID";
String environmentId = "ENVIRONMENT_ID";

CreateAgentInteraction params = CreateAgentInteraction.builder()
    .agent(AgentOption.of("antigravity-preview-09-2026"))
    .previousInteractionId(interactionId)
    .environment(CreateAgentInteractionEnvironment.of(environmentId))
    .input(InteractionsInput.of("Now plot the Fibonacci sequence as a line chart and save it as chart.png."))
    .build();

Interaction interaction2 = client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();
System.out.println(interaction2.outputText().orElse(""));

Go

package main

import (
    "context"
    "fmt"
    "log"

    "google.golang.org/genai"
    "google.golang.org/genai/interactions/models/interactions"
    "google.golang.org/genai/interactions/models/operations"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, nil)
    if err != nil {
        log.Fatal(err)
    }

    interactionID := "INTERACTION_ID"
    environmentID := "ENVIRONMENT_ID"

    res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
            Agent:                 interactions.AgentOption("antigravity-preview-09-2026"),
            PreviousInteractionID: genai.Ptr(interactionID),
            Environment:           genai.Ptr(interactions.NewCreateAgentInteractionEnvironment(environmentID)),
            Input:                 interactions.NewInteractionsInput("Now plot the Fibonacci sequence as a line chart and save it as chart.png."),
        }),
    })
    if err != nil {
        log.Fatal(err)
    }
    if res.Interaction.OutputText != nil {
        fmt.Println(*res.Interaction.OutputText)
    }
}

REST

curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-d '{
    "agent": "antigravity-preview-09-2026",
    "previous_interaction_id": "interaction_id_from_step_1",
    "environment": "environment_id_from_step_1",
    "input": [{"type": "text", "text": "Now plot the Fibonacci sequence as a line chart and save it as chart.png."}]
}'

1. turdaki (fibonacci.txt) dosyalar 2. turda kalır. Ajan, sohbet bağlamını da korur.

Aşağıdaki öğeleri bağımsız olarak karıştırıp eşleştirebilirsiniz:

  • Net görüşme, dosyaları saklama: previous_interaction_id öğesini atlayın, aynı çalışma alanında yeni bir görüşme için yalnızca environment kullanarak ortam kimliğini iletin.
  • Sohbeti sürdürme, yeni çalışma alanı: Geçiş previous_interaction_id, yeni bir test ortamı için environment="remote" ayarlayın.

Otomatik bağlam sıkıştırma

Uzun süren, çok aşamalı etkileşimlerde, akıl yürütme adımlarının, araç çağrılarının ve büyük dosya içeriklerinin ham geçmişi hızla büyüyebilir ve önemli bağlam alanı tüketebilir. Jeton sınırı hatalarını önlemek ve aracının odak noktasını korumak (bağlam bozulmasını önlemek) için Yönetilen Ajanlar API'si, yaklaşık 135.000 jetonluk yerel bir bağlam sıkıştırma adımına sahiptir. Bu, otomatik olarak gerçekleşir.

Yanıtı akış şeklinde gösterme

Uzun süren görevlerde, temsilcinin çalışmasını anlık olarak görmek için yanıtı yayınlayabilirsiniz:

Python

from google import genai

client = genai.Client()

stream = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input="Read Hacker News, summarize the top 5 stories, and save the results as a PDF.",
    environment="remote",
    stream=True,
)

for event in stream:
    print(event)
    if event.event_type == "step.stop" and event.usage:
        print(event.usage)

JavaScript

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

const client = new GoogleGenAI({});

const stream = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    input: "Read Hacker News, summarize the top 5 stories, and save the results as a PDF.",
    environment: "remote",
    stream: true,
});

for await (const event of stream) {
    console.log(event);
    if (event.event_type === "step.stop" && event.usage) {
        console.log(event.usage);
    }
}

Java

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.AgentOption;
import com.google.genai.gaos.models.interactions.CreateAgentInteraction;
import com.google.genai.gaos.models.interactions.CreateAgentInteractionEnvironment;
import com.google.genai.gaos.models.interactions.InteractionSSEStreamEvent;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.interactions.StepStop;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
import com.google.genai.gaos.utils.EventStream;

Client client = new Client();

CreateAgentInteraction params = CreateAgentInteraction.builder()
    .agent(AgentOption.of("antigravity-preview-09-2026"))
    .input(InteractionsInput.of("Read Hacker News, summarize the top 5 stories, and save the results as a PDF."))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .stream(true)
    .build();

try (EventStream<InteractionSSEStreamEvent> stream =
    client.interactions.create(CreateInteractionRequestBody.of(params)).events()) {
  for (InteractionSSEStreamEvent event : stream) {
    System.out.println(event);
    if (event.data().isPresent() && event.data().get() instanceof StepStop stepStop) {
      stepStop.usage().ifPresent(System.out::println);
    }
  }
}

Go

package main

import (
    "context"
    "fmt"
    "log"

    "google.golang.org/genai"
    "google.golang.org/genai/interactions/models/interactions"
    "google.golang.org/genai/interactions/models/operations"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, nil)
    if err != nil {
        log.Fatal(err)
    }

    res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
            Agent:       interactions.AgentOption("antigravity-preview-09-2026"),
            Input:       interactions.NewInteractionsInput("Read Hacker News, summarize the top 5 stories, and save the results as a PDF."),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
            Stream:      genai.Ptr(true),
        }),
    })
    if err != nil {
        log.Fatal(err)
    }

    stream := res.InteractionSSEStreamEvent
    defer stream.Close()

    for stream.Next() {
        event := stream.Value()
        fmt.Printf("%+v\n", event)
        if stepStop := event.GetDataStepStop(); stepStop != nil && stepStop.Usage != nil {
            fmt.Printf("%+v\n", stepStop.Usage)
        }
    }
    if err := stream.Err(); err != nil {
        log.Fatal(err)
    }
}

REST

curl -N -s -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-d '{
    "agent": "antigravity-preview-09-2026",
    "input": "Read Hacker News, summarize the top 5 stories, and save the results as a PDF.",
    "environment": "remote",
    "stream": true
}'

Akış, artımlı güncellemelerle adım farklarını döndürür. Bir adım tamamlandığında step.stop etkinliği, birikmiş kullanım istatistiklerini içerir. Daha fazla bilgi için Akış kılavuzu başlıklı makaleyi inceleyin.

Ortamdan dosya indirme

Ajan, sanal alan içinde dosyalar oluşturduğunda Doğrudan HTTP isteğiyle (henüz SDK yöntemi yok) Dosyalar API'sini kullanarak indirin:

Python

import os
import requests
import tarfile

env_id = interaction.environment_id
api_key = os.environ["GEMINI_API_KEY"]

response = requests.get(
    f"https://generativelanguage.googleapis.com/v1beta/files/environment-{env_id}:download",
    params={"alt": "media"},
    headers={"x-goog-api-key": api_key},
    allow_redirects=True,
)

with open("snapshot.tar", "wb") as f:
    f.write(response.content)

with tarfile.open("snapshot.tar") as tar:
    tar.extractall(path="extracted_snapshot")

JavaScript

import fs from "fs";
import { execSync } from "child_process";

const envId = interaction.environment_id;
const apiKey = process.env.GEMINI_API_KEY || "";

const url = `https://generativelanguage.googleapis.com/v1beta/files/environment-${envId}:download?alt=media`;
const response = await fetch(url, {
    headers: {
        "x-goog-api-key": apiKey,
    },
});

if (!response.ok) {
    throw new Error(`Failed to download file: ${response.statusText}`);
}

const buffer = Buffer.from(await response.arrayBuffer());
fs.writeFileSync("snapshot.tar", buffer);

if (!fs.existsSync("extracted_snapshot")) {
    fs.mkdirSync("extracted_snapshot");
}
execSync("tar -xf snapshot.tar -C extracted_snapshot");

console.log(fs.readdirSync("extracted_snapshot"));

Java

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.nio.file.Files;
import java.nio.file.Paths;

String envId = "ENVIRONMENT_ID";
String apiKey = System.getenv("GEMINI_API_KEY");

HttpClient httpClient = HttpClient.newBuilder()
    .followRedirects(HttpClient.Redirect.NORMAL)
    .build();

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://generativelanguage.googleapis.com/v1beta/files/environment-" + envId + ":download?alt=media"))
    .header("x-goog-api-key", apiKey)
    .GET()
    .build();

HttpResponse<byte[]> response = httpClient.send(request, HttpResponse.BodyHandlers.ofByteArray());
Files.write(Paths.get("snapshot.tar"), response.body());
System.out.println("Saved snapshot to snapshot.tar");

Go

package main

import (
    "context"
    "fmt"
    "io"
    "log"
    "net/http"
    "os"
)

func main() {
    ctx := context.Background()
    envID := "ENVIRONMENT_ID"
    apiKey := os.Getenv("GEMINI_API_KEY")

    url := fmt.Sprintf("https://generativelanguage.googleapis.com/v1beta/files/environment-%s:download?alt=media", envID)
    req, err := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
    if err != nil {
        log.Fatal(err)
    }
    req.Header.Set("x-goog-api-key", apiKey)

    resp, err := http.DefaultClient.Do(req)
    if err != nil {
        log.Fatal(err)
    }
    defer resp.Body.Close()

    data, err := io.ReadAll(resp.Body)
    if err != nil {
        log.Fatal(err)
    }
    if err := os.WriteFile("snapshot.tar", data, 0644); err != nil {
        log.Fatal(err)
    }
    fmt.Println("Saved snapshot to snapshot.tar")
}

REST

ENV_ID="your_environment_id_here"

curl -L -X GET "https://generativelanguage.googleapis.com/v1beta/files/environment-$ENV_ID:download?alt=media" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-o snapshot.tar

mkdir -p extracted_snapshot
tar -xf snapshot.tar -C extracted_snapshot

Yönetilen bir aracı kaydetme

Önceki adımlarda varsayılan Antigravity aracısını kullandık ve satır içi olarak özelleştirdik. Yapılandırmanızı (talimatlar, beceriler, model seçimi ve ortam) yineledikten sonra yeniden kullanılabilir yönetilen bir ajan olarak kaydedebilirsiniz. Bu sayede, yapılandırmayı tekrarlamadan kimliğe göre çağırabilirsiniz.

Bir aracı kaydettiğinizde satır içi etkileşimlerle mimari simetriyi fark edeceksiniz: base_agent: "antigravity-preview-09-2026" değerini belirtirsiniz ve interactions.create üzerinde yaptığınız gibi seçtiğiniz model ile bir agent_config değeri iletebilirsiniz. Ayrıca bir base_environment da tanımlarsınız (kaynaklardan veya mevcut bir ortamı çatallayarak). Aracı, her yeni etkileşim için bu ortamı ve model yapılandırmasını kullanır.

Kaynaklardan: Kaynakları satır içi olarak veya GitHub ya da Cloud Storage gibi diğer kaynaklardan tanımlayın.

Python

agent = client.agents.create(
    id="fibonacci-analyst",
    base_agent="antigravity-preview-09-2026",
    agent_config={
        "type": "antigravity",
        "model": "gemini-3.8-flash",
    },
    system_instruction="You are a math analysis agent. Generate sequences, visualize them, and export results as PDF reports.",
    base_environment={
        "type": "remote",
        "sources": [
            {
                "type": "inline",
                "target": ".agents/AGENTS.md",
                "content": "Always include a chart and a summary table in your reports.",
            },
            {
                "type": "repository",
                "source": "https://github.com/your-org/skills",
                "target": ".agents/skills"
            }
        ],
    },
)

print(f"Saved agent: {agent.id}")

JavaScript

const agent = await client.agents.create({
    id: "fibonacci-analyst",
    base_agent: "antigravity-preview-09-2026",
    agent_config: {
        type: "antigravity",
        model: "gemini-3.8-flash",
    },
    system_instruction: "You are a math analysis agent. Generate sequences, visualize them, and export results as PDF reports.",
    base_environment: {
        type: "remote",
        sources: [
            {
                type: "inline",
                target: ".agents/AGENTS.md",
                content: "Always include a chart and a summary table in your reports.",
            },
            {
                type: "repository",
                source: "https://github.com/your-org/skills",
                target: ".agents/skills"
            }
        ],
    },
});

console.log(`Saved agent: ${agent.id}`);

Java

import com.google.genai.Client;
import com.google.genai.gaos.models.agents.Agent;
import com.google.genai.gaos.models.agents.AgentConfig;
import com.google.genai.gaos.models.agents.BaseEnvironment;
import com.google.genai.gaos.models.interactions.AntigravityAgentConfig;
import com.google.genai.gaos.models.interactions.Environment;
import com.google.genai.gaos.models.interactions.Source;
import com.google.genai.gaos.models.interactions.SourceType;
import java.util.List;

Client client = new Client();

Environment env = Environment.builder()
    .sources(List.of(
        Source.builder()
            .type(SourceType.INLINE)
            .target(".agents/AGENTS.md")
            .content("Always include a chart and a summary table in your reports.")
            .build(),
        Source.builder()
            .type(SourceType.REPOSITORY)
            .source("https://github.com/your-org/skills")
            .target(".agents/skills")
            .build()
    ))
    .build();

Agent agentParams = Agent.builder()
    .id("fibonacci-analyst")
    .baseAgent("antigravity-preview-09-2026")
    .agentConfig(AgentConfig.of(
        AntigravityAgentConfig.builder()
            .model("gemini-3.8-flash")
            .build()
    ))
    .systemInstruction("You are a math analysis agent. Generate sequences, visualize them, and export results as PDF reports.")
    .baseEnvironment(BaseEnvironment.of(env))
    .build();

Agent agent = client.agents.create(agentParams).agent().get();
System.out.println("Saved agent: " + agent.id().orElse(""));

Go

package main

import (
    "context"
    "fmt"
    "log"

    "google.golang.org/genai"
    "google.golang.org/genai/interactions/models/agents"
    "google.golang.org/genai/interactions/models/interactions"
    "google.golang.org/genai/interactions/models/operations"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, nil)
    if err != nil {
        log.Fatal(err)
    }

    env := interactions.Environment{
        Sources: []interactions.Source{
            {
                Type:    interactions.SourceTypeInline.ToPointer(),
                Target:  genai.Ptr(".agents/AGENTS.md"),
                Content: genai.Ptr("Always include a chart and a summary table in your reports."),
            },
            {
                Type:   interactions.SourceTypeRepository.ToPointer(),
                Source: genai.Ptr("https://github.com/your-org/skills"),
                Target: genai.Ptr(".agents/skills"),
            },
        },
    }

    res, err := client.Agents.Create(ctx, operations.CreateAgentRequest{
        Body: agents.Agent{
            ID:        genai.Ptr("fibonacci-analyst"),
            BaseAgent: genai.Ptr("antigravity-preview-09-2026"),
            AgentConfig: genai.Ptr(agents.NewAgentConfig(interactions.AntigravityAgentConfig{
                Model: genai.Ptr("gemini-3.8-flash"),
            })),
            SystemInstruction: genai.Ptr("You are a math analysis agent. Generate sequences, visualize them, and export results as PDF reports."),
            BaseEnvironment:   genai.Ptr(agents.NewBaseEnvironment(env)),
        },
    })
    if err != nil {
        log.Fatal(err)
    }

    fmt.Printf("Saved agent: %s\n", *res.Agent.ID)
}

REST

curl -X POST "https://generativelanguage.googleapis.com/v1beta/agents" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-d '{
    "id": "fibonacci-analyst",
    "base_agent": "antigravity-preview-09-2026",
    "agent_config": {
        "type": "antigravity",
        "model": "gemini-3.8-flash"
    },
    "system_instruction": "You are a math analysis agent. Generate sequences, visualize them, and export results as PDF reports.",
    "base_environment": {
        "type": "remote",
        "sources": [
            {
                "type": "inline",
                "target": ".agents/AGENTS.md",
                "content": "Always include a chart and a summary table in your reports."
            },
            {
                "type": "repository",
                "source": "https://github.com/your-org/skills",
                "target": ".agents/skills"
            }
        ]
    }
}'

Yönetilen temsilciyi çağırma

Kaydettiğiniz yönetilen aracıları kimliklerine göre çağırabilirsiniz. Her çağırma işlemi temel ortamı çatalladığından her çalıştırma temiz bir şekilde başlar:

Python

result = client.interactions.create(
    agent="fibonacci-analyst",
    input="Generate the first 50 prime numbers, plot their distribution, and save a PDF report.",
    environment="remote",
)

print(result.output_text)

JavaScript

const result = await client.interactions.create({
    agent: "fibonacci-analyst",
    input: "Generate the first 50 prime numbers, plot their distribution, and save a PDF report.",
    environment: "remote",
}, {
    timeout: 300_000,
});

console.log(result.output_text);

Java

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.AgentOption;
import com.google.genai.gaos.models.interactions.CreateAgentInteraction;
import com.google.genai.gaos.models.interactions.CreateAgentInteractionEnvironment;
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();

CreateAgentInteraction params = CreateAgentInteraction.builder()
    .agent(AgentOption.of("fibonacci-analyst"))
    .input(InteractionsInput.of("Generate the first 50 prime numbers, plot their distribution, and save a PDF report."))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .build();

Interaction result = client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();
System.out.println(result.outputText().orElse(""));

Go

package main

import (
    "context"
    "fmt"
    "log"

    "google.golang.org/genai"
    "google.golang.org/genai/interactions/models/interactions"
    "google.golang.org/genai/interactions/models/operations"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, nil)
    if err != nil {
        log.Fatal(err)
    }

    res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
            Agent:       interactions.AgentOption("fibonacci-analyst"),
            Input:       interactions.NewInteractionsInput("Generate the first 50 prime numbers, plot their distribution, and save a PDF report."),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
        }),
    })
    if err != nil {
        log.Fatal(err)
    }
    if res.Interaction.OutputText != nil {
        fmt.Println(*res.Interaction.OutputText)
    }
}

REST

curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-d '{
    "agent": "fibonacci-analyst",
    "environment": "remote",
    "input": "Generate the first 50 prime numbers, plot their distribution, and save a PDF report."
}'

Sırada ne var?