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Pre-built Agent

Web scraper Agent

AGENT ID: 1b0deca7-dc6d-423f-881b-260ca07a518a

An intelligent multi-agent system designed to autonomously validate and extract structured content from URL

Deploy / Run Agent

API & SDK Integration

Load, run, and interact with this agent programmatically using standard HTTP curl requests or the SVAHNAR SDK.

Secure Environment

Runs in isolated, zero-retention execution nodes with encrypted data transport.

Models Used (1)

gpt-4o-mini

Tools Attached (1)

Webpage_Search

MCP Connections (0)

No Model Context Protocol servers connected.

Specifications

AGENT TYPE

Multi-Agent System

SUB-AGENTS

3 agents

SUPERVISOR

Yes

RUNS

1,200+ runs

Configuration (YAML)

create_vertical_agent_network:
  agent-1:
    LLM_config:
      params:
        model: gpt-4o-mini
        max_tokens: 1000
        temperature: 0.5
        request_timeout: 600
    agent_name: Agent_1
    incoming_edge:
    - Supervisor_agent_1
    outgoing_edge:
    - Supervisor_agent_1
    agent_function:
    - You are a URL validator agent which can validate and verify the URL format is
      correct or not.
  agent-2:
    tools:
      tool_assigned:
      - name: Webpage_Search
    LLM_config:
      params:
        model: gpt-4o-mini
        max_tokens: 1000
        temperature: 0.5
        request_timeout: 600
    agent_name: Agent_2
    incoming_edge:
    - Supervisor_agent_1
    outgoing_edge:
    - Supervisor_agent_1
    agent_function:
    - You are web scraper agent which can scrape the content from provided valid URL.
  agent-3:
    Role: supervisor
    LLM_config:
      params:
        model: gpt-4o-mini
        max_tokens: 1000
        temperature: 0.5
        request_timeout: 600
    agent_name: Supervisor_agent_1
    incoming_edge:
    - Start
    - Agent_1
    - Agent_2
    outgoing_edge:
    - Agent_1
    - Agent_2
    agent_function:
    - 'You are a supervisor agent whose task is to decide which agent to call next
      based on requirement. '

Developer Quick Start

1. Install the SDK

pip install svahnar

2. Configure your API key

export SVAHNAR_API_KEY="your_api_key_here"

3. Save the Configuration YAML

Copy the YAML configuration box above and save it locally as agent.yaml.

4. Deploy the Agent (Python)

from svahnar import Svahnar
from pathlib import Path

client = Svahnar()

# Deploy the agent configuration
agent = client.agents.create(
    name="Web scraper Agent",
    description="An intelligent multi-agent system designed to autonomously validate and extract structured content from URL",
    deploy_to="Organization",
    yaml_content=Path("agent.yaml")
)
print(f"Created Agent ID: {agent.id}")

5. Run the Agent (Python)

from svahnar import Svahnar

client = Svahnar()

# Run the agent using its ID
response = client.agents.run(
    agent_id="YOUR_DEPLOYED_AGENT_ID",  # Replace with your agent ID from Step 4
    message="Your input message here"
)
print(response)

For advanced features, Human-in-the-Loop configurations, and guides, visit the Developer Documentation.

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