> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getbindu.com/llms.txt
> Use this file to discover all available pages before exploring further.

# 1.4 Research Assistant

> Research assistant with DuckDuckGo search integration

Research assistant with DuckDuckGo search integration.

## Code

```python theme={null}
import os
from bindu.penguin.bindufy import bindufy
from agno.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.models.openrouter import OpenRouter
from dotenv import load_dotenv

load_dotenv()

agent = Agent(
    instructions="You are a research assistant that finds and summarizes information.",
    model=OpenRouter(
        id="openai/gpt-5-mini",
        api_key=os.getenv("OPENROUTER_API_KEY")
    ),
    tools=[DuckDuckGoTools()],
)

config = {
    "author": "your.email@example.com",
    "name": "research_agent",
    "description": "A research assistant agent",
    "deployment": {
        "url": "http://localhost:3773",
        "expose": True,
        "cors_origins": ["http://localhost:5173"]
    },
}

def handler(messages: list[dict[str, str]]):
    result = agent.run(input=messages)
    return result

if __name__ == "__main__":
    os.environ["AUTH_ENABLED"] = "false"
    bindufy(config, handler)
    #bindufy(config, handler, launch=True)
    # This will create a tunnel to your agent and expose it on port 3773
```

## How It Works

**Research Capability**

* Agent searches web via DuckDuckGo
* Finds relevant information
* Summarizes findings clearly

**Instructions**

* Simple, focused directive
* "Find and summarize information"
* Guides agent behavior

**Auth Disabled**

* `AUTH_ENABLED = "false"` for local dev
* Frontend connects without OAuth
* Production should enable auth

## Dependencies

```bash theme={null}
uv init
uv add bindu agno python-dotenv
```

## Environment Setup

Create `.env` file:

```bash theme={null}
OPENROUTER_API_KEY=your_openrouter_api_key_here
```

## Run

```bash theme={null}
uv run agno_simple_example.py
```

**Examples:**

* "Research the latest developments in quantum computing"
* "Find information about climate change and its effects"
* "What are the recent breakthroughs in medical research?"

## Example API Calls

<AccordionGroup>
  <Accordion title="Message Send Request">
    ```json theme={null}
    {
      "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": "Research the latest developments in quantum computing"
            }
          ]
        },
        "configuration": {
          "acceptedOutputModes": ["application/json"]
        }
      },
      "id": "9f11c870-5616-49ad-b187-d93cbb100003"
    }
    ```
  </Accordion>

  <Accordion title="Task get Request">
    ```json theme={null}
    {
      "jsonrpc": "2.0",
      "method": "tasks/get",
      "params": {
        "taskId": "9f11c870-5616-49ad-b187-d93cbb100003"
      },
      "id": "9f11c870-5616-49ad-b187-d93cbb100004"
    }
    ```
  </Accordion>
</AccordionGroup>

## Frontend Setup

```bash theme={null}
# 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](http://localhost:5173) and try to chat with research assistant