অ্যান্টিগ্র্যাভিটি এজেন্ট

from google import genai

client = genai.Client()

interaction = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input="Read Hacker News, summarize the top 10 stories, and save the results as a PDF.",
    environment="remote",
)

print(interaction.output_text)

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

const client = new GoogleGenAI({});

const interaction = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    input: "Read Hacker News, summarize the top 10 stories, and save the results as a PDF.",
    environment: "remote",
}, { timeout: 300000 });

console.log(interaction.output_text);

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("Read Hacker News, summarize the top 10 stories, and save the results as a PDF."))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .build();

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

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 10 stories, and save the results as a PDF."),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
        }),
    })
    if err != nil {
        log.Fatal(err)
    }
    if res.Interaction.OutputText != nil {
        fmt.Println(*res.Interaction.OutputText)
    }
}

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": "Read Hacker News, summarize the top 10 stories, and save the results as a PDF.",
    "environment": "remote"
}'

from google import genai

client = genai.Client()

interaction = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input="Search for the latest AI research papers on reasoning and summarize them.",
    environment="remote",
    tools=[
        {"type": "google_search"},
        {"type": "url_context"},
    ],
)

print(interaction.output_text)

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

const client = new GoogleGenAI({});

const interaction = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    input: "Search for the latest AI research papers on reasoning and summarize them.",
    environment: "remote",
    tools: [
        { type: "google_search" },
        { type: "url_context" },
    ],
}, { timeout: 300000 });

console.log(interaction.output_text);

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.GoogleSearch;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.interactions.URLContext;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
import java.util.List;

Client client = new Client();

CreateAgentInteraction params = CreateAgentInteraction.builder()
    .agent(AgentOption.of("antigravity-preview-09-2026"))
    .input(InteractionsInput.of("Search for the latest AI research papers on reasoning and summarize them."))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .tools(List.of(
        GoogleSearch.builder().build(),
        URLContext.builder().build()
    ))
    .build();

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

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("Search for the latest AI research papers on reasoning and summarize them."),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
            Tools: []interactions.Tool{
                interactions.NewTool(interactions.GoogleSearch{}),
                interactions.NewTool(interactions.URLContext{}),
            },
        }),
    })
    if err != nil {
        log.Fatal(err)
    }
    if res.Interaction.OutputText != nil {
        fmt.Println(*res.Interaction.OutputText)
    }
}

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": "Search for the latest AI research papers on reasoning and summarize them.",
    "environment": "remote",
    "tools": [
        {"type": "google_search"},
        {"type": "url_context"}
    ]
}'

import base64
from google import genai

client = genai.Client()

with open("path/to/chart.png", "rb") as f:
    image_bytes = f.read()

interaction_inline = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input=[
        {"type": "text", "text": "Analyze this chart and summarize the trends."},
        {
            "type": "image",
            "data": base64.b64encode(image_bytes).decode("utf-8"),
            "mime_type": "image/png",
        },
    ],
    environment="remote",
)

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

import * as fs from "node:fs";

const client = new GoogleGenAI({});
const base64Image = fs.readFileSync("path/to/chart.png", { encoding: "base64" });

const interactionInline = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    input: [
        { type: "text", text: "Analyze this chart and summarize the trends." },
        {
            type: "image",
            data: base64Image,
            mime_type: "image/png",
        },
    ],
    environment: "remote",
}, { timeout: 300000 });

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.ImageContent;
import com.google.genai.gaos.models.interactions.ImageContentMimeType;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.interactions.TextContent;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Base64;
import java.util.List;

Client client = new Client();

byte[] imageBytes = Files.readAllBytes(Paths.get("path/to/chart.png"));
String base64Image = Base64.getEncoder().encodeToString(imageBytes);

CreateAgentInteraction params = CreateAgentInteraction.builder()
    .agent(AgentOption.of("antigravity-preview-09-2026"))
    .input(InteractionsInput.ofContent(List.of(
        TextContent.builder().text("Analyze this chart and summarize the trends.").build(),
        ImageContent.builder()
            .data(base64Image)
            .mimeType(ImageContentMimeType.IMAGE_PNG)
            .build()
    )))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .build();

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

package main

import (
    "context"
    "encoding/base64"
    "fmt"
    "log"
    "os"

    "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)
    }

    imageBytes, err := os.ReadFile("path/to/chart.png")
    if err != nil {
        log.Fatal(err)
    }
    base64Image := base64.StdEncoding.EncodeToString(imageBytes)

    res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
            Agent: interactions.AgentOption("antigravity-preview-09-2026"),
            Input: interactions.NewInteractionsInput([]interactions.Content{
                interactions.NewContent(interactions.TextContent{
                    Text: "Analyze this chart and summarize the trends.",
                }),
                interactions.NewContent(interactions.ImageContent{
                    Data:     genai.Ptr(base64Image),
                    MimeType: interactions.ImageContentMimeTypeImagePng.ToPointer(),
                }),
            }),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
        }),
    })
    if err != nil {
        log.Fatal(err)
    }
    if res.Interaction.OutputText != nil {
        fmt.Println(*res.Interaction.OutputText)
    }
}

BASE64_IMAGE=$(base64 -w0 /path/to/chart.png)

curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-d "{
    \"agent\": \"antigravity-preview-09-2026\",
    \"input\": [
        {\"type\": \"text\", \"text\": \"Analyze this chart and summarize the trends.\"},
        {
            \"type\": \"image\",
            \"mime_type\": \"image/png\",
            \"data\": \"$BASE64_IMAGE\"
        }
    ],
    \"environment\": \"remote\"
}"

from google import genai

client = genai.Client()

# 1. Define the custom function
get_weather_tool = {
    "type": "function",
    "name": "get_weather",
    "description": "Gets the current weather for a given location.",
    "parameters": {
        "type": "object",
        "properties": {
            "location": {
                "type": "string",
                "description": "The city and country, e.g. San Francisco, USA",
            }
        },
        "required": ["location"],
    },
}

# 2. Call the agent with the custom tool (Turn 1)
interaction = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input="What is the weather in Tokyo?",
    environment="remote",
    tools=[
        {"type": "code_execution"},  # Enable default code execution
        get_weather_tool,            # Add custom function
    ],
)

# Check if the agent requested a function call
if interaction.status == "requires_action":
    # Find function calls that do not have a matching function result.
    # Filesystem tools (like write_to_file) are also represented as function calls
    # but are executed automatically by the environment.
    executed_calls = {step.call_id for step in interaction.steps if step.type == "function_result"}
    pending_calls = [step for step in interaction.steps if step.type == "function_call" and step.id not in executed_calls]

    if pending_calls:
        fc_step = pending_calls[0]
        print(f"Function to call: {fc_step.name} (ID: {fc_step.id})")
        print(f"Arguments: {fc_step.arguments}")

        # 3. Execute the function locally (simulated get_weather()) and send the result back (Turn 2)
        function_result = {
            "temperature": 23,
            "unit": "celsius"
        }

        final_interaction = client.interactions.create(
            agent="antigravity-preview-09-2026",
            previous_interaction_id=interaction.id,  # Reference the interaction ID
            environment=interaction.environment_id,
            input=[
                {
                    "type": "function_result",
                    "name": fc_step.name,
                    "call_id": fc_step.id,
                    "result": function_result,
                }
            ],
        )

        print(final_interaction.output_text)
        # Output: The current weather in Tokyo, Japan is 23°C (Celsius).
    else:
        print("No pending function calls.")
else:
    print(f"Interaction completed with status: {interaction.status}")

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

const client = new GoogleGenAI({});

// 1. Define the custom function
const get_weather_tool = {
  type: "function",
  name: "get_weather",
  description: "Gets the current weather for a given location.",
  parameters: {
    type: "object",
    properties: {
      location: {
        type: "string",
        description: "The city and country, e.g. San Francisco, USA",
      },
    },
    required: ["location"],
  },
};

// 2. Call the agent with the custom tool (Turn 1)
const interaction = await client.interactions.create({
  agent: "antigravity-preview-09-2026",
  input: "What is the weather in Tokyo?",
  environment: "remote",
  tools: [
    { type: "code_execution" },
    get_weather_tool,
  ],
}, { timeout: 300000 });

if (interaction.status === "requires_action") {
  // Find function calls that do not have a matching function result.
  // Filesystem tools (like write_to_file) are also represented as function calls
  // but are executed automatically by the environment.
  const executedCalls = new Set(
    interaction.steps
      .filter(s => s.type === "function_result")
      .map(s => s.call_id)
  );
  const pendingCalls = interaction.steps.filter(
    s => s.type === "function_call" && !executedCalls.has(s.id)
  );

  if (pendingCalls.length > 0) {
    const fcStep = pendingCalls[0];
    console.log(`Function to call: ${fcStep.name} (ID: ${fcStep.id})`);

    // 3. Execute the function locally (simulated get_weather()) and send the result back (Turn 2)
    const functionResult = {
      temperature: 23,
      unit: "celsius"
    };

    const finalInteraction = await client.interactions.create({
      agent: "antigravity-preview-09-2026",
      previous_interaction_id: interaction.id, // Reference the interaction ID
      environment: interaction.environment_id,
      input: [
        {
          type: "function_result",
          name: fcStep.name,
          call_id: fcStep.id,
          result: functionResult,
        }
      ],
    }, { timeout: 300000 });

    console.log(finalInteraction.output_text);
  } else {
    console.log("No pending function calls.");
  }
} else {
  console.log(`Interaction completed with status: ${interaction.status}`);
}

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.AgentOption;
import com.google.genai.gaos.models.interactions.CodeExecution;
import com.google.genai.gaos.models.interactions.CreateAgentInteraction;
import com.google.genai.gaos.models.interactions.CreateAgentInteractionEnvironment;
import com.google.genai.gaos.models.interactions.Function;
import com.google.genai.gaos.models.interactions.FunctionCallStep;
import com.google.genai.gaos.models.interactions.FunctionResultStep;
import com.google.genai.gaos.models.interactions.FunctionResultStepResultUnion;
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.interactions.Step;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.stream.Collectors;

Client client = new Client();

// 1. Define the custom function
Function getWeatherTool = Function.builder()
    .name("get_weather")
    .description("Gets the current weather for a given location.")
    .parameters(Map.of(
        "type", "object",
        "properties", Map.of(
            "location", Map.of(
                "type", "string",
                "description", "The city and country, e.g. San Francisco, USA"
            )
        ),
        "required", List.of("location")
    ))
    .build();

// 2. Call the agent with the custom tool (Turn 1)
CreateAgentInteraction params = CreateAgentInteraction.builder()
    .agent(AgentOption.of("antigravity-preview-09-2026"))
    .input(InteractionsInput.of("What is the weather in Tokyo?"))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .tools(List.of(
        CodeExecution.builder().build(), // Enable default code execution
        getWeatherTool                   // Add custom function
    ))
    .build();

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

// Check if the agent requested a function call
if (interaction.status().orElse(null) == InteractionStatus.REQUIRES_ACTION) {
    // Find function calls that do not have a matching function result.
    List<Step> steps = interaction.steps().orElse(List.of());
    Set<String> executedCalls = steps.stream()
        .filter(step -> step instanceof FunctionResultStep)
        .map(step -> ((FunctionResultStep) step).callId().orElse(""))
        .collect(Collectors.toSet());

    List<FunctionCallStep> pendingCalls = steps.stream()
        .filter(step -> step instanceof FunctionCallStep)
        .map(step -> (FunctionCallStep) step)
        .filter(fc -> !executedCalls.contains(fc.id().orElse("")))
        .collect(Collectors.toList());

    if (!pendingCalls.isEmpty()) {
        FunctionCallStep fcStep = pendingCalls.get(0);
        System.out.println("Function to call: " + fcStep.name().orElse("") + " (ID: " + fcStep.id().orElse("") + ")");
        System.out.println("Arguments: " + fcStep.arguments().orElse(Map.of()));

        // 3. Execute the function locally (simulated get_weather()) and send the result back (Turn 2)
        FunctionResultStep resultStep = FunctionResultStep.builder()
            .name(fcStep.name().orElse(""))
            .callId(fcStep.id().orElse(""))
            .result(FunctionResultStepResultUnion.of("{\"temperature\": 23, \"unit\": \"celsius\"}"))
            .build();

        CreateAgentInteraction followupParams = CreateAgentInteraction.builder()
            .agent(AgentOption.of("antigravity-preview-09-2026"))
            .previousInteractionId(interaction.id().orElse(""))
            .environment(CreateAgentInteractionEnvironment.of(interaction.environmentId().orElse("")))
            .input(InteractionsInput.ofStep(List.of(resultStep)))
            .build();

        Interaction finalInteraction = client.interactions.create(CreateInteractionRequestBody.of(followupParams)).interaction().get();
        System.out.println(finalInteraction.outputText().orElse(""));
        // Output: The current weather in Tokyo, Japan is 23°C (Celsius).
    } else {
        System.out.println("No pending function calls.");
    }
} else {
    System.out.println("Interaction completed with status: " + interaction.status().orElse(null));
}

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)
    }

    // 1. Define the custom function
    getWeatherTool := interactions.NewTool(interactions.Function{
        Name:        genai.Ptr("get_weather"),
        Description: genai.Ptr("Gets the current weather for a given location."),
        Parameters: map[string]any{
            "type": "object",
            "properties": map[string]any{
                "location": map[string]any{
                    "type":        "string",
                    "description": "The city and country, e.g. San Francisco, USA",
                },
            },
            "required": []string{"location"},
        },
    })

    // 2. Call the agent with the custom tool (Turn 1)
    res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
            Agent:       interactions.AgentOption("antigravity-preview-09-2026"),
            Input:       interactions.NewInteractionsInput("What is the weather in Tokyo?"),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
            Tools: []interactions.Tool{
                interactions.NewTool(interactions.CodeExecution{}), // Enable default code execution
                getWeatherTool, // Add custom function
            },
        }),
    })
    if err != nil {
        log.Fatal(err)
    }

    interaction := res.Interaction

    // Check if the agent requested a function call
    if interaction.Status == interactions.InteractionStatusRequiresAction {
        executedCalls := make(map[string]bool)
        for _, step := range interaction.Steps {
            if fr := step.FunctionResultStep; fr != nil {
                executedCalls[fr.CallID] = true
            }
        }

        var pendingCalls []*interactions.FunctionCallStep
        for _, step := range interaction.Steps {
            if fc := step.FunctionCallStep; fc != nil && !executedCalls[fc.ID] {
                pendingCalls = append(pendingCalls, fc)
            }
        }

        if len(pendingCalls) > 0 {
            fcStep := pendingCalls[0]
            fmt.Printf("Function to call: %s (ID: %s)\n", fcStep.Name, fcStep.ID)
            fmt.Printf("Arguments: %v\n", fcStep.Arguments)

            // 3. Execute the function locally (simulated get_weather()) and send the result back (Turn 2)
            resultStep := interactions.FunctionResultStep{
                Name:   genai.Ptr(fcStep.Name),
                CallID: fcStep.ID,
                Result: interactions.NewFunctionResultStepResultUnion(`{"temperature": 23, "unit": "celsius"}`),
            }

            followupRes, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
                Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
                    Agent:                 interactions.AgentOption("antigravity-preview-09-2026"),
                    PreviousInteractionID: interaction.ID,
                    Environment:           genai.Ptr(interactions.NewCreateAgentInteractionEnvironment(*interaction.EnvironmentID)),
                    Input: interactions.NewInteractionsInput([]interactions.Step{
                        interactions.NewStep(resultStep),
                    }),
                }),
            })
            if err != nil {
                log.Fatal(err)
            }
            if followupRes.Interaction.OutputText != nil {
                fmt.Println(*followupRes.Interaction.OutputText)
            }
        } else {
            fmt.Println("No pending function calls.")
        }
    } else {
        fmt.Printf("Interaction completed with status: %s\n", interaction.Status)
    }
}

# 1. Turn 1: Request function call
RESPONSE=$(curl -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": "What is the weather in Tokyo?",
      "environment": "remote",
      "tools": [
          {"type": "code_execution"},
          {
              "type": "function",
              "name": "get_weather",
              "description": "Gets the current weather for a given location.",
              "parameters": {
                  "type": "object",
                  "properties": {
                      "location": {"type": "string"}
                  },
                  "required": ["location"]
              }
          }
      ]
  }')

# Extract interaction ID, environment ID, and call ID (requires jq)
INTERACTION_ID=$(echo $RESPONSE | jq -r '.id')
ENVIRONMENT_ID=$(echo $RESPONSE | jq -r '.environment_id')
CALL_ID=$(echo $RESPONSE | jq -r '.steps[] | select(.type=="function_call") | .id')

# 2. Turn 2: Send function result back using variables
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\",
      \"environment\": \"$ENVIRONMENT_ID\",
      \"input\": [
          {
              \"type\": \"function_result\",
              \"name\": \"get_weather\",
              \"call_id\": \"$CALL_ID\",
              \"result\": {
                  \"temperature\": 23,
                  \"unit\": \"celsius\"
              }
          }
      ]
  }"

from google import genai

client = genai.Client()

# Register a remote HTTP MCP server
interaction = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input="What is the weather in Tokyo?",
    environment="remote",
    tools=[{
        "type": "mcp_server",
        "name": "weather", # Must be lowercase
        "url": "https://gemini-api-demos.uc.r.appspot.com/mcp"
    }]
)

print(interaction.output_text)

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

const client = new GoogleGenAI({});

const interaction = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    input: "What is the weather in Tokyo?",
    environment: "remote",
    tools: [{
        type: "mcp_server",
        name: "weather", // Must be lowercase
        url: "https://gemini-api-demos.uc.r.appspot.com/mcp"
    }]
}, { timeout: 300000 });

console.log(interaction.output_text);

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.interactions.MCPServer;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
import java.util.List;

Client client = new Client();

// Register a remote HTTP MCP server
CreateAgentInteraction params = CreateAgentInteraction.builder()
    .agent(AgentOption.of("antigravity-preview-09-2026"))
    .input(InteractionsInput.of("What is the weather in Tokyo?"))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .tools(List.of(
        MCPServer.builder()
            .name("weather") // Must be lowercase
            .url("https://gemini-api-demos.uc.r.appspot.com/mcp")
            .build()
    ))
    .build();

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

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)
    }

    // Register a remote HTTP MCP server
    res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
            Agent:       interactions.AgentOption("antigravity-preview-09-2026"),
            Input:       interactions.NewInteractionsInput("What is the weather in Tokyo?"),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
            Tools: []interactions.Tool{
                interactions.NewTool(interactions.MCPServer{
                    Name: genai.Ptr("weather"), // Must be lowercase
                    URL:  genai.Ptr("https://gemini-api-demos.uc.r.appspot.com/mcp"),
                }),
            },
        }),
    })
    if err != nil {
        log.Fatal(err)
    }
    if res.Interaction.OutputText != nil {
        fmt.Println(*res.Interaction.OutputText)
    }
}

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": "What is the weather in Tokyo?",
      "environment": "remote",
      "tools": [{
          "type": "mcp_server",
          "name": "weather",
          "url": "https://gemini-api-demos.uc.r.appspot.com/mcp"
      }]
  }'

from google import genai

client = genai.Client()

interaction = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input="Summarize the key differences between functional and object-oriented programming.",
    environment="remote",
    agent_config={
        "type": "antigravity",
        "model": "gemini-3.5-flash-lite",
    },
)

print(interaction.output_text)

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

const client = new GoogleGenAI({});

const interaction = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    input: "Summarize the key differences between functional and object-oriented programming.",
    environment: "remote",
    agent_config: {
        type: "antigravity",
        model: "gemini-3.5-flash-lite",
    },
}, { timeout: 300000 });

console.log(interaction.output_text);

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.AgentOption;
import com.google.genai.gaos.models.interactions.AntigravityAgentConfig;
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("Summarize the key differences between functional and object-oriented programming."))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .agentConfig(
        AntigravityAgentConfig.builder()
            .model("gemini-3.5-flash-lite")
            .build()
    )
    .build();

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

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("Summarize the key differences between functional and object-oriented programming."),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
            AgentConfig: genai.Ptr(interactions.NewCreateAgentInteractionAgentConfig(interactions.AntigravityAgentConfig{
                Model: genai.Ptr("gemini-3.5-flash-lite"),
            })),
        }),
    })
    if err != nil {
        log.Fatal(err)
    }
    if res.Interaction.OutputText != nil {
        fmt.Println(*res.Interaction.OutputText)
    }
}

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": "Summarize the key differences between functional and object-oriented programming.",
      "environment": "remote",
      "agent_config": {
          "type": "antigravity",
          "model": "gemini-3.5-flash-lite"
      }
  }'

import time
from google import genai

client = genai.Client()

# 1. Start the interaction in the background
interaction = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input="Run a complex analysis on the repository.",
    environment="remote",
    background=True,
)

print(f"Interaction started in background: {interaction.id}")

# 2. Poll for completion
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}")

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

const client = new GoogleGenAI({});

const interaction = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    input: "Run a complex analysis on the repository.",
    environment: "remote",
    background: true,
});

console.log(`Interaction started in background: ${interaction.id}`);

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

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

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.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();

// 1. Start the interaction in the background
CreateAgentInteraction params = CreateAgentInteraction.builder()
    .agent(AgentOption.of("antigravity-preview-09-2026"))
    .input(InteractionsInput.of("Run a complex analysis on the repository."))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .background(true)
    .build();

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

// 2. Poll for completion
while (interaction.status().orElse(null) == InteractionStatus.IN_PROGRESS) {
    Thread.sleep(5000);
    interaction = client.interactions.get(new GetInteractionByIdRequest(interaction.id().orElse(""))).interaction().get();
}

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

package main

import (
    "context"
    "fmt"
    "log"
    "time"

    "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)
    }

    // 1. Start the interaction in the background
    res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
            Agent:       interactions.AgentOption("antigravity-preview-09-2026"),
            Input:       interactions.NewInteractionsInput("Run a complex analysis on the repository."),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
            Background:  genai.Ptr(true),
        }),
    })
    if err != nil {
        log.Fatal(err)
    }

    interaction := res.Interaction
    fmt.Printf("Interaction started in background: %s\n", *interaction.ID)

    // 2. Poll for completion
    for interaction.Status == interactions.InteractionStatusInProgress {
        time.Sleep(5 * time.Second)
        getRes, err := client.Interactions.Get(ctx, operations.GetInteractionByIDRequest{
            ID: *interaction.ID,
        })
        if err != nil {
            log.Fatal(err)
        }
        interaction = getRes.Interaction
    }

    if interaction.Status == interactions.InteractionStatusCompleted {
        if interaction.OutputText != nil {
            fmt.Println(*interaction.OutputText)
        }
    } else {
        fmt.Printf("Finished with status: %s\n", interaction.Status)
    }
}

# 1. Start the interaction in the background
RESPONSE=$(curl -s -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Api-Revision: 2026-05-20" \
  -d '{
      "agent": "antigravity-preview-09-2026",
      "input": "Run a complex analysis on the repository.",
      "environment": "remote",
      "background": true
  }')

INTERACTION_ID=$(echo $RESPONSE | jq -r '.id')

# 2. Poll for results (repeat until status is "completed")
curl -s -X GET "https://generativelanguage.googleapis.com/v1beta/interactions/$INTERACTION_ID" \
  -H "x-goog-api-key: $GEMINI_API_KEY"

client.interactions.cancel(id="INTERACTION_ID")

await client.interactions.cancel("INTERACTION_ID");

import com.google.genai.Client;

Client client = new Client();
client.interactions.cancel("INTERACTION_ID");

package main

import (
    "context"
    "log"

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

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

    _, err = client.Interactions.Cancel(ctx, operations.CancelInteractionByIDRequest{
        ID: "INTERACTION_ID",
    })
    if err != nil {
        log.Fatal(err)
    }
}

curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions/INTERACTION_ID:cancel" \
  -H "x-goog-api-key: $GEMINI_API_KEY"

import time
from google import genai

client = genai.Client()

# First turn: run a task in the background
interaction = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input="Clone https://github.com/google/generative-ai-python and run its tests.",
    environment="remote",
    background=True,
)

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

# Second turn: continue in the same environment
followup = client.interactions.create(
    agent="antigravity-preview-09-2026",
    input="Fix any failing tests and re-run them.",
    previous_interaction_id=interaction.id,
    environment=interaction.environment_id,
    background=True,
)

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

print(followup.output_text)

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

const client = new GoogleGenAI({});

// First turn: run a task in the background
let interaction = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    input: "Clone https://github.com/google/generative-ai-python and run its tests.",
    environment: "remote",
    background: true,
});

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

// Second turn: continue in the same environment
let followup = await client.interactions.create({
    agent: "antigravity-preview-09-2026",
    input: "Fix any failing tests and re-run them.",
    previous_interaction_id: interaction.id,
    environment: interaction.environment_id,
    background: true,
});

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

console.log(followup.output_text);

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.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();

// First turn: run a task in the background
CreateAgentInteraction params = CreateAgentInteraction.builder()
    .agent(AgentOption.of("antigravity-preview-09-2026"))
    .input(InteractionsInput.of("Clone https://github.com/google/generative-ai-python and run its tests."))
    .environment(CreateAgentInteractionEnvironment.of("remote"))
    .background(true)
    .build();

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

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

// Second turn: continue in the same environment
CreateAgentInteraction followupParams = CreateAgentInteraction.builder()
    .agent(AgentOption.of("antigravity-preview-09-2026"))
    .input(InteractionsInput.of("Fix any failing tests and re-run them."))
    .previousInteractionId(interaction.id().orElse(""))
    .environment(CreateAgentInteractionEnvironment.of(interaction.environmentId().orElse("")))
    .background(true)
    .build();

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

while (followup.status().orElse(null) == InteractionStatus.IN_PROGRESS) {
    Thread.sleep(5000);
    followup = client.interactions.get(new GetInteractionByIdRequest(followup.id().orElse(""))).interaction().get();
}

System.out.println(followup.outputText().orElse(""));

package main

import (
    "context"
    "fmt"
    "log"
    "time"

    "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)
    }

    // First turn: run a task in the background
    res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
            Agent:       interactions.AgentOption("antigravity-preview-09-2026"),
            Input:       interactions.NewInteractionsInput("Clone https://github.com/google/generative-ai-python and run its tests."),
            Environment: genai.Ptr(interactions.NewCreateAgentInteractionEnvironment("remote")),
            Background:  genai.Ptr(true),
        }),
    })
    if err != nil {
        log.Fatal(err)
    }

    interaction := res.Interaction
    for interaction.Status == interactions.InteractionStatusInProgress {
        time.Sleep(5 * time.Second)
        getRes, err := client.Interactions.Get(ctx, operations.GetInteractionByIDRequest{
            ID: *interaction.ID,
        })
        if err != nil {
            log.Fatal(err)
        }
        interaction = getRes.Interaction
    }

    // Second turn: continue in the same environment
    followupRes, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateAgentInteraction{
            Agent:                 interactions.AgentOption("antigravity-preview-09-2026"),
            Input:                 interactions.NewInteractionsInput("Fix any failing tests and re-run them."),
            PreviousInteractionID: interaction.ID,
            Environment:           genai.Ptr(interactions.NewCreateAgentInteractionEnvironment(*interaction.EnvironmentID)),
            Background:            genai.Ptr(true),
        }),
    })
    if err != nil {
        log.Fatal(err)
    }

    followup := followupRes.Interaction
    for followup.Status == interactions.InteractionStatusInProgress {
        time.Sleep(5 * time.Second)
        getRes, err := client.Interactions.Get(ctx, operations.GetInteractionByIDRequest{
            ID: *followup.ID,
        })
        if err != nil {
            log.Fatal(err)
        }
        followup = getRes.Interaction
    }

    if followup.OutputText != nil {
        fmt.Println(*followup.OutputText)
    }
}

# 1. Start first interaction in the background
RESPONSE=$(curl -s -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Api-Revision: 2026-05-20" \
  -d '{
      "agent": "antigravity-preview-09-2026",
      "input": "Clone https://github.com/google/generative-ai-python and run its tests.",
      "environment": "remote",
      "background": true
  }')

INTERACTION_ID=$(echo $RESPONSE | jq -r '.id')

# 2. Poll until completed (repeat until status is "completed")
RESULT=$(curl -s -X GET "https://generativelanguage.googleapis.com/v1beta/interactions/$INTERACTION_ID" \
  -H "x-goog-api-key: $GEMINI_API_KEY")

ENVIRONMENT_ID=$(echo $RESULT | jq -r '.environment_id')

# 3. Continue in the same environment
curl -s -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Api-Revision: 2026-05-20" \
  -d "{
      \"agent\": \"antigravity-preview-09-2026\",
      \"input\": \"Fix any failing tests and re-run them.\",
      \"previous_interaction_id\": \"$INTERACTION_ID\",
      \"environment\": \"$ENVIRONMENT_ID\",
      \"background\": true
  }"