Perform Web Task

import Anchorbrowser from 'anchorbrowser';

const anchorClient = new Anchorbrowser({
  apiKey: process.env.ANCHORBROWSER_API_KEY
});

const response = await anchorClient.agent.task(
  'Extract the main heading',                     // Required
  {
    taskOptions: {
      url: 'https://example.com',                 // Either sessionId or url is required
      humanIntervention: false,                   // Disable human intervention during task execution (disabled by default)
      detectElements: true,                       // Improves the agent's ability to identify and interact with UI elements
      maxSteps: 40,                               // Maximum number of steps the agent can take
      agent: 'browser-use',                       // browser-use (default), openai-cua, or gemini-computer-use
      provider: 'openai',                         // For browser-use agent only, openai, gemini, groq, azure, anthropic, xai
      model: 'gpt-5',                             // For browser-use agent only, see model list below
      extendedSystemMessage: 'Focus on extracting the main heading from the page',
      secretValues: {                             // Secret values to pass to the agent for secure credential handling
        API_KEY: 'your-secret-key'
      }
    }
  }
);

console.log(response);

from anchorbrowser import Anchorbrowser
import os

anchor_client = Anchorbrowser(api_key=os.environ.get("ANCHORBROWSER_API_KEY"))

response = anchor_client.agent.task(
    'Extract the main heading',                    # Required
    task_options={
        url='https://example.com',                 # Either session_id or url is required
        human_intervention=False,                  # Disable human intervention during task execution (disabled by default)
        detect_elements=True,                      # Improves the agent's ability to identify and interact with UI elements
        max_steps=40,                              # Maximum number of steps the agent can take
        agent='browser-use',                       # browser-use (default), openai-cua, or gemini-computer-use
        provider='openai',                           # For browser-use agent only, openai, gemini, groq, azure, anthropic, xai
        model='gpt-5',               # For browser-use agent only, see model list below
        extended_system_message='Focus on extracting the main heading from the page',
        secret_values={                            # Secret values to pass to the agent for secure credential handling
            'API_KEY': 'your-secret-key'
        }
    }
)

print(response)

import { z } from 'zod';
import { zodToJsonSchema } from 'zod-to-json-schema';

const anchorClient = new Anchorbrowser()

// Define the expected output structure using Zod schema
const outputSchema = z.object({
  nodes_cpu_usage: z.array(
    z.object({
      node: z.string(),                 // Node name
      cluster: z.string(),              // Cluster identifier
      cpu_avg_percentage: z.number(),   // CPU usage percentage
    })
  )
});

// Execute the AI task with structured output
const result = await anchorClient.agent.task('Collect the node names and their CPU average %', {
  taskOptions: {
    outputSchema: zodToJsonSchema(outputSchema), // Convert to JSON Schema
    url: 'https://play.grafana.org/a/grafana-k8s-app/navigation/nodes?from=now-1h&to=now&refresh=1m',
  }
});
console.info(result);

# Define data models using Pydantic for structured output
class NodeCpuUsage(BaseModel):
    node: str                    # Node name
    cluster: str                 # Cluster identifier
    cpu_avg_percentage: float    # CPU usage percentage

class OutputSchema(BaseModel):
    nodes_cpu_usage: List[NodeCpuUsage]  # List of node CPU usage data

# Create task payload with structured output schema
task_payload = {
    'prompt': 'Collect the node names and their CPU average %',
    'output_schema': OutputSchema.model_json_schema()  # Convert to JSON Schema
}

result = anchor_client.agent.task('Collect the node names and their CPU average %',
    task_options={
        'output_schema': OutputSchema.model_json_schema(),
        'url': 'https://play.grafana.org/a/grafana-k8s-app/navigation/nodes?from=now-1h&to=now&refresh=1m',
    }
)
print(result)