Execute an AI agent

import Stagehand from 'stagehand-sdk';

const client = new Stagehand({
  browserbaseAPIKey: process.env['BROWSERBASE_API_KEY'], // This is the default and can be omitted
  browserbaseProjectID: process.env['BROWSERBASE_PROJECT_ID'], // This is the default and can be omitted
  modelAPIKey: process.env['MODEL_API_KEY'], // This is the default and can be omitted
});

const response = await client.sessions.execute('c4dbf3a9-9a58-4b22-8a1c-9f20f9f9e123', {
  agentConfig: {},
  executeOptions: {
    instruction: "Log in with username 'demo' and password 'test123', then navigate to settings",
  },
});

console.log(response.data);

import os
from stagehand import Stagehand

client = Stagehand(
    browserbase_api_key=os.environ.get("BROWSERBASE_API_KEY"),  # This is the default and can be omitted
    browserbase_project_id=os.environ.get("BROWSERBASE_PROJECT_ID"),  # This is the default and can be omitted
    model_api_key=os.environ.get("MODEL_API_KEY"),  # This is the default and can be omitted
)
for session in client.sessions.execute(
    id="c4dbf3a9-9a58-4b22-8a1c-9f20f9f9e123",
    agent_config={},
    execute_options={
        "instruction": "Log in with username 'demo' and password 'test123', then navigate to settings"
    },
):
  print(session)

package main

import (
	"context"
	"fmt"

	"github.com/browserbase/stagehand-go"
	"github.com/browserbase/stagehand-go/option"
)

func main() {
	client := stagehand.NewClient(
		option.WithBrowserbaseAPIKey("My Browserbase API Key"),
		option.WithBrowserbaseProjectID("My Browserbase Project ID"),
		option.WithModelAPIKey("My Model API Key"),
	)
	response, err := client.Sessions.Execute(
		context.TODO(),
		"c4dbf3a9-9a58-4b22-8a1c-9f20f9f9e123",
		stagehand.SessionExecuteParams{
			AgentConfig: stagehand.SessionExecuteParamsAgentConfig{},
			ExecuteOptions: stagehand.SessionExecuteParamsExecuteOptions{
				Instruction: "Log in with username 'demo' and password 'test123', then navigate to settings",
			},
		},
	)
	if err != nil {
		panic(err.Error())
	}
	fmt.Printf("%+v\n", response.Data)
}

package com.browserbase.api.example;

import com.browserbase.api.client.StagehandClient;
import com.browserbase.api.client.okhttp.StagehandOkHttpClient;
import com.browserbase.api.models.sessions.SessionExecuteParams;
import com.browserbase.api.models.sessions.SessionExecuteResponse;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        StagehandClient client = StagehandOkHttpClient.fromEnv();

        SessionExecuteParams params = SessionExecuteParams.builder()
            .id("c4dbf3a9-9a58-4b22-8a1c-9f20f9f9e123")
            .agentConfig(SessionExecuteParams.AgentConfig.builder().build())
            .executeOptions(SessionExecuteParams.ExecuteOptions.builder()
                .instruction("Log in with username 'demo' and password 'test123', then navigate to settings")
                .build())
            .build();
        SessionExecuteResponse response = client.sessions().execute(params);
    }
}

package com.browserbase.api.example

import com.browserbase.api.client.StagehandClient
import com.browserbase.api.client.okhttp.StagehandOkHttpClient
import com.browserbase.api.models.sessions.SessionExecuteParams
import com.browserbase.api.models.sessions.SessionExecuteResponse

fun main() {
    val client: StagehandClient = StagehandOkHttpClient.fromEnv()

    val params: SessionExecuteParams = SessionExecuteParams.builder()
        .id("c4dbf3a9-9a58-4b22-8a1c-9f20f9f9e123")
        .agentConfig(SessionExecuteParams.AgentConfig.builder().build())
        .executeOptions(SessionExecuteParams.ExecuteOptions.builder()
            .instruction("Log in with username 'demo' and password 'test123', then navigate to settings")
            .build())
        .build()
    val response: SessionExecuteResponse = client.sessions().execute(params)
}

require "stagehand"

stagehand = Stagehand::Client.new(
  browserbase_api_key: "My Browserbase API Key",
  browserbase_project_id: "My Browserbase Project ID",
  model_api_key: "My Model API Key"
)

response = stagehand.sessions.execute(
  "c4dbf3a9-9a58-4b22-8a1c-9f20f9f9e123",
  agent_config: {},
  execute_options: {instruction: "Log in with username 'demo' and password 'test123', then navigate to settings"}
)

puts(response)

<?php

require_once dirname(__DIR__) . '/vendor/autoload.php';

use Stagehand\Client;
use Stagehand\Core\Exceptions\APIException;

$client = new Client(
  browserbaseAPIKey: getenv('BROWSERBASE_API_KEY') ?: 'My Browserbase API Key',
  browserbaseProjectID: getenv(
    'BROWSERBASE_PROJECT_ID'
  ) ?: 'My Browserbase Project ID',
  modelAPIKey: getenv('MODEL_API_KEY') ?: 'My Model API Key',
);

try {
  $response = $client->sessions->execute(
    'c4dbf3a9-9a58-4b22-8a1c-9f20f9f9e123',
    agentConfig: [
      'cua' => true,
      'executionModel' => [
        'auth' => [
          'credentials' => [
            'clientEmail' => 'client_email',
            'privateKey' => 'private_key',
            'authProviderX509CertURL' => 'https://example.com',
            'authUri' => 'https://example.com',
            'clientID' => 'client_id',
            'clientX509CertURL' => 'https://example.com',
            'privateKeyID' => 'private_key_id',
            'projectID' => 'project_id',
            'tokenUri' => 'https://example.com',
            'type' => 'service_account',
            'universeDomain' => 'universe_domain',
          ],
          'type' => 'googleServiceAccount',
          'projectID' => 'projectId',
          'scopes' => 'string',
          'universeDomain' => 'universeDomain',
        ],
        'modelName' => 'openai/gpt-5.4-mini',
        'provider' => 'vertex',
        'providerOptions' => [
          'vertex' => [
            'location' => 'us-central1',
            'project' => 'my-gcp-project',
            'baseURL' => 'https://example.com',
            'headers' => ['foo' => 'string'],
          ],
        ],
        'apiKey' => 'sk-some-openai-api-key',
        'baseURL' => 'https://api.openai.com/v1',
        'headers' => ['foo' => 'string'],
      ],
      'mode' => 'cua',
      'model' => [
        'auth' => [
          'credentials' => [
            'clientEmail' => 'client_email',
            'privateKey' => 'private_key',
            'authProviderX509CertURL' => 'https://example.com',
            'authUri' => 'https://example.com',
            'clientID' => 'client_id',
            'clientX509CertURL' => 'https://example.com',
            'privateKeyID' => 'private_key_id',
            'projectID' => 'project_id',
            'tokenUri' => 'https://example.com',
            'type' => 'service_account',
            'universeDomain' => 'universe_domain',
          ],
          'type' => 'googleServiceAccount',
          'projectID' => 'projectId',
          'scopes' => 'string',
          'universeDomain' => 'universeDomain',
        ],
        'modelName' => 'openai/gpt-5.4-mini',
        'provider' => 'vertex',
        'providerOptions' => [
          'vertex' => [
            'location' => 'us-central1',
            'project' => 'my-gcp-project',
            'baseURL' => 'https://example.com',
            'headers' => ['foo' => 'string'],
          ],
        ],
        'apiKey' => 'sk-some-openai-api-key',
        'baseURL' => 'https://api.openai.com/v1',
        'headers' => ['foo' => 'string'],
      ],
      'provider' => 'openai',
      'systemPrompt' => 'systemPrompt',
    ],
    executeOptions: [
      'instruction' => 'Log in with username \'demo\' and password \'test123\', then navigate to settings',
      'highlightCursor' => true,
      'maxSteps' => 20,
      'toolTimeout' => 30000,
      'useSearch' => true,
      'variables' => ['foo' => 'string'],
    ],
    frameID: 'frameId',
    shouldCache: true,
    xStreamResponse: 'true',
  );

  var_dump($response);
} catch (APIException $e) {
  echo $e->getMessage();
}

using System;
using System.Collections.Generic;
using Stagehand;
using Stagehand.Models.Sessions;

StagehandClient client = new();

SessionExecuteParams parameters = new()
{
    ID = "c4dbf3a9-9a58-4b22-8a1c-9f20f9f9e123",
    AgentConfig = new()
    {
        Cua = true,
        ExecutionModel = new ExecutionModelVertexModelConfigObject()
        {
            Auth = new()
            {
                Credentials = new()
                {
                    ClientEmail = "client_email",
                    PrivateKey = "private_key",
                    AuthProviderX509CertUrl = "https://example.com",
                    AuthUri = "https://example.com",
                    ClientID = "client_id",
                    ClientX509CertUrl = "https://example.com",
                    PrivateKeyID = "private_key_id",
                    ProjectID = "project_id",
                    TokenUri = "https://example.com",
                    Type = ExecutionModelVertexModelConfigObjectAuthCredentialsType.ServiceAccount,
                    UniverseDomain = "universe_domain",
                },
                ProjectID = "projectId",
                Scopes = "string",
                UniverseDomain = "universeDomain",
            },
            ModelName = "openai/gpt-5.4-mini",
            ProviderOptions = new(
                new ExecutionModelVertexModelConfigObjectProviderOptionsVertex()
                {
                    Location = "us-central1",
                    Project = "my-gcp-project",
                    BaseUrl = "https://example.com",
                    Headers = new Dictionary<string, string>()
                    {
                        { "foo", "string" }
                    },
                }
            ),
            ApiKey = "sk-some-openai-api-key",
            BaseUrl = "https://api.openai.com/v1",
            Headers = new Dictionary<string, string>() { { "foo", "string" } },
        },
        Mode = Mode.Cua,
        Model = new AgentConfigModelVertexModelConfigObject()
        {
            Auth = new()
            {
                Credentials = new()
                {
                    ClientEmail = "client_email",
                    PrivateKey = "private_key",
                    AuthProviderX509CertUrl = "https://example.com",
                    AuthUri = "https://example.com",
                    ClientID = "client_id",
                    ClientX509CertUrl = "https://example.com",
                    PrivateKeyID = "private_key_id",
                    ProjectID = "project_id",
                    TokenUri = "https://example.com",
                    Type = AgentConfigModelVertexModelConfigObjectAuthCredentialsType.ServiceAccount,
                    UniverseDomain = "universe_domain",
                },
                ProjectID = "projectId",
                Scopes = "string",
                UniverseDomain = "universeDomain",
            },
            ModelName = "openai/gpt-5.4-mini",
            ProviderOptions = new(
                new AgentConfigModelVertexModelConfigObjectProviderOptionsVertex(

                )
                {
                    Location = "us-central1",
                    Project = "my-gcp-project",
                    BaseUrl = "https://example.com",
                    Headers = new Dictionary<string, string>()
                    {
                        { "foo", "string" }
                    },
                }
            ),
            ApiKey = "sk-some-openai-api-key",
            BaseUrl = "https://api.openai.com/v1",
            Headers = new Dictionary<string, string>() { { "foo", "string" } },
        },
        Provider = AgentConfigProvider.OpenAI,
        SystemPrompt = "systemPrompt",
    },
    ExecuteOptions = new()
    {
        Instruction = "Log in with username 'demo' and password 'test123', then navigate to settings",
        HighlightCursor = true,
        MaxSteps = 20,
        ToolTimeout = 30000,
        UseSearch = true,
        Variables = new Dictionary<string, ExecuteOptionsVariable>()
        {
            { "foo", "string" }
        },
    },
};

var response = await client.Sessions.Execute(parameters);

Console.WriteLine(response);

curl --request POST \
  --url https://api.stagehand.browserbase.com/v1/sessions/{id}/agentExecute \
  --header 'Content-Type: application/json' \
  --header 'x-bb-api-key: <api-key>' \
  --header 'x-bb-project-id: <api-key>' \
  --data @- <<EOF
{
  "agentConfig": {
    "provider": "openai",
    "model": {
      "modelName": "openai/gpt-5.4-mini",
      "provider": "<string>",
      "auth": {
        "type": "<string>",
        "credentials": {
          "private_key": "<string>",
          "client_email": "<string>",
          "type": "<string>",
          "project_id": "<string>",
          "private_key_id": "<string>",
          "client_id": "<string>",
          "auth_uri": "<string>",
          "token_uri": "<string>",
          "auth_provider_x509_cert_url": "<string>",
          "client_x509_cert_url": "<string>",
          "universe_domain": "<string>"
        },
        "scopes": "<string>",
        "projectId": "<string>",
        "universeDomain": "<string>"
      },
      "providerOptions": {
        "vertex": {
          "project": "my-gcp-project",
          "location": "us-central1",
          "baseURL": "<string>",
          "headers": {}
        }
      },
      "apiKey": "sk-some-openai-api-key",
      "baseURL": "https://api.openai.com/v1",
      "headers": {}
    },
    "systemPrompt": "<string>",
    "cua": true,
    "mode": "cua",
    "executionModel": {
      "modelName": "openai/gpt-5.4-mini",
      "provider": "<string>",
      "auth": {
        "type": "<string>",
        "credentials": {
          "private_key": "<string>",
          "client_email": "<string>",
          "type": "<string>",
          "project_id": "<string>",
          "private_key_id": "<string>",
          "client_id": "<string>",
          "auth_uri": "<string>",
          "token_uri": "<string>",
          "auth_provider_x509_cert_url": "<string>",
          "client_x509_cert_url": "<string>",
          "universe_domain": "<string>"
        },
        "scopes": "<string>",
        "projectId": "<string>",
        "universeDomain": "<string>"
      },
      "providerOptions": {
        "vertex": {
          "project": "my-gcp-project",
          "location": "us-central1",
          "baseURL": "<string>",
          "headers": {}
        }
      },
      "apiKey": "sk-some-openai-api-key",
      "baseURL": "https://api.openai.com/v1",
      "headers": {}
    }
  },
  "executeOptions": {
    "instruction": "Log in with username 'demo' and password 'test123', then navigate to settings",
    "maxSteps": 20,
    "highlightCursor": true,
    "useSearch": true,
    "toolTimeout": 30000,
    "variables": {}
  },
  "frameId": "<string>",
  "streamResponse": true,
  "shouldCache": true
}
EOF

{
  "success": true,
  "data": {
    "result": {
      "success": true,
      "message": "Successfully logged in and navigated to dashboard",
      "actions": [
        {
          "type": "click",
          "reasoning": "<string>",
          "taskCompleted": true,
          "action": "<string>",
          "timeMs": 123,
          "pageText": "<string>",
          "pageUrl": "<string>",
          "instruction": "<string>"
        }
      ],
      "completed": true,
      "metadata": {},
      "usage": {
        "input_tokens": 1500,
        "output_tokens": 250,
        "inference_time_ms": 2500,
        "reasoning_tokens": 123,
        "cached_input_tokens": 123
      }
    },
    "cacheEntry": {
      "cacheKey": "<string>",
      "entry": "<unknown>"
    }
  }
}