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Zero-config agent with web search capabilities.

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Code

import os
from bindu.penguin.bindufy import bindufy
from agno.agent import Agent
from agno.models.openrouter import OpenRouter
from agno.tools.duckduckgo import DuckDuckGoTools
from dotenv import load_dotenv

load_dotenv()

agent = Agent(
    instructions="You are a friendly assistant that explains things simply.",
    model=OpenRouter(
        id="openai/gpt-oss-120b",
        api_key=os.getenv("OPENROUTER_API_KEY")
    ),
    tools=[DuckDuckGoTools()],
)

config = {
    "author": "21uad051@kamarajengg.edu.in",
    "name": "beginner_zero_config_agent",
    "description": "Zero-config local Bindu agent for first-time users",
    "deployment": {
        "url": "http://localhost:3773",
        "expose": True,
        "cors_origins": ["http://localhost:5173"]
    },
}

def handler(messages):
    return agent.run(input=messages)

bindufy(config, handler)

#bindufy(config, handler, launch=True)
# This will create a tunnel to your agent and expose it on port 3773

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How It Works

Agent Setup
  • instructions: Defines agent behavior
  • model: OpenRouter’s GPT model
  • tools: DuckDuckGo for web search
Handler
  • Passes messages to agent
  • Agent processes with LLM and tools
  • Returns structured response
Environment
  • Requires OPENROUTER_API_KEY in .env
  • load_dotenv() loads environment variables

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Dependencies

uv init
uv add bindu agno python-dotenv

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Environment Setup

Create .env file: 
OPENROUTER_API_KEY=your_openrouter_api_key_here

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Run

uv run beginner_zero_config_agent.py

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Examples

  • “Tell me about artificial intelligence”
  • “What are the main features of large language models?”
  • “Explain machine learning in simple terms”

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Example API Calls

{
  "jsonrpc": "2.0",
  "method": "message/send",
  "params": {
    "message": {
      "role": "user",
      "kind": "message",
      "messageId": "9f11c870-5616-49ad-b187-d93cbb100001",
      "contextId": "9f11c870-5616-49ad-b187-d93cbb100002",
      "taskId": "9f11c870-5616-49ad-b187-d93cbb100003",
      "parts": [
        {
          "kind": "text",
          "text": "Tell me about artificial intelligence"
        }
      ]
    },
    "configuration": {
      "acceptedOutputModes": ["application/json"]
    }
  },
  "id": "9f11c870-5616-49ad-b187-d93cbb100003"
}

{
  "jsonrpc": "2.0",
  "method": "tasks/get",
  "params": {
    "taskId": "9f11c870-5616-49ad-b187-d93cbb100003"
  },
  "id": "9f11c870-5616-49ad-b187-d93cbb100004"
}

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Frontend Setup

# Clone the Bindu repository
git clone https://github.com/GetBindu/Bindu

# Navigate to frontend directory
cd frontend

# Install dependencies
npm install

# Start frontend development server
npm run dev
Open http://localhost:5173 and try to chat with zero config agent