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Python client SDK for Narada

Project description

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Computer Use for Agentic Process Automation!

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The official Narada Python SDK that helps you launch browsers and run tasks with Narada UI agents.

Installation

pip install narada

Quick Start

Important: The first time Narada opens the automated browser, you will need to manually install the Narada Enterprise extension and log in to your Narada account.

After installation and login, create a Narada API Key (see this link for instructions) and set the following environment variable:

export NARADA_API_KEY=<YOUR KEY>

That's it. Now you can run the following code to create a browser environment and ask an agent to download a file for you from arxiv:

import asyncio

from narada import Agent, BrowserEnvironment


async def main() -> None:
    # Create the browser environment. It initializes lazily on the first action.
    env = BrowserEnvironment()
    agent = Agent(environment=env)

    try:
        # Run a task in this browser environment.
        response = await agent.run(
            prompt='Search for "LLM Compiler" on Google and open the first arXiv paper on the results page, then open the PDF. Then download the PDF of the paper.',
            # Optionally generate a GIF of the agent's actions.
            generate_gif=True,
        )

        print("Response:", response.model_dump_json(indent=2))
    finally:
        await env.close()


if __name__ == "__main__":
    asyncio.run(main())

This would then result in the following trajectory:

File Download Example

You can use the SDK to launch browsers and run automated tasks using natural language instructions. For more examples and code samples, please explore the examples/ folder in this repository.

Migration note

This version introduces a non-backward-compatible, agent-centered API:

  • Create an execution target with an environment, such as BrowserEnvironment, CloudBrowserEnvironment, RemoteBrowserEnvironment, or LambdaEnvironment.
  • Create an Agent(environment=env, kind=...) and call await agent.run(prompt=...).
  • Browser actions such as go_to_url, agentic_selector, and sheet operations are now methods on Agent.
  • Environments keep lifecycle/bookkeeping APIs such as start(), close(), browser_window_id, and cloud_browser_session_id.

Features

  • Natural Language Control: Send instructions in plain English to control browser actions
  • Parallel Execution: Run multiple browser tasks simultaneously across different windows
  • Error Handling: Built-in timeout handling and retry mechanisms
  • Action Recording: Generate GIFs of agent actions for debugging and documentation
  • Async Support: Full async/await support for efficient operations

Key Capabilities

  • Web Search & Navigation: Automatically search, click links, and navigate websites
  • Data Extraction: Extract information from web pages using AI understanding
  • Form Interaction: Fill out forms and interact with web elements
  • File Operations: Download files and handle web-based documents
  • Multi-window Management: Coordinate tasks across multiple browser instances

License

This project is licensed under the Apache 2.0 License.

Support

For questions, issues, or support, please contact: support@narada.ai

Citation

We appreciate it if you could cite Narada if you found it useful for your project.

@software{narada_ai2025,
  author = {Narada AI},
  title = {Narada AI: Agentic Process Automation for Enterprise},
  year = {2025},
  publisher = {GitHub},
  url = {https://github.com/NaradaAI/narada-python-sdk}
}
Made with ❤️ in Berkeley, CA.

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