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Automate AI chat workflows through browser automation

Project description

PlayPi

Automate AI chat workflows through browser automation.

PlayPi provides simple, high-level functions for automating browser-based AI chat workflows, starting with Google Gemini Deep Research.

Installation

pip install playpi

Or for development:

git clone https://github.com/twardoch/playpi
cd playpi
uv sync

Quick Start

Google Deep Research

import asyncio
from playpi import google_deep_research

async def main():
    # Perform deep research on a topic
    result = await google_deep_research(
        "Analyze the impact of quantum computing on cryptography",
        headless=True,  # Run browser in background
        timeout=600,    # 10 minute timeout
        verbose=True    # Enable detailed logging
    )

    print(result)  # Markdown-formatted research results

asyncio.run(main())

Command Line Interface

# Perform research and save to file
playpi google "What are the latest developments in renewable energy?" --output research.md

# Interactive mode (visible browser)
playpi google "Climate change mitigation strategies" --headless=false --verbose

# Test browser session
playpi test

Prerequisites

Authentication

Before using Google Deep Research, you need to:

  1. Install Playwright browsers: playwright install chromium
  2. Login to Google: Open https://gemini.google.com in your browser and sign in
  3. Browser profiles: PlayPi reuses browser sessions, so you only need to login once

System Requirements

  • Python 3.11+
  • Chromium browser (installed automatically)
  • 2GB+ RAM for browser automation
  • Internet connection

Features

  • Google Gemini Deep Research - Automated research with source compilation
  • Session Management - Persistent authentication across multiple queries
  • Cross-Platform - Works on Windows, macOS, and Linux
  • Concurrent Processing - Run up to 3 research tasks simultaneously
  • Rich Output - Clean Markdown formatting with links and structure
  • Error Handling - Graceful handling of timeouts and UI changes

API Reference

google_deep_research(prompt, **options)

Perform Google Gemini Deep Research on a given prompt.

Parameters:

  • prompt (str): Research query or question
  • headless (bool): Run browser in headless mode (default: True)
  • timeout (int): Maximum wait time in seconds (default: 600)
  • verbose (bool): Enable detailed logging (default: False)
  • profile (str): Browser profile name (reserved for future use)

Returns:

  • str: Research results formatted as Markdown

Raises:

  • AuthenticationError: Not logged in to Google/Gemini
  • PlayPiTimeoutError: Research exceeded timeout limit
  • ProviderError: UI elements not found or changed

Development

Running Tests

# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov=src/playpi --cov-report=html

# Run specific test categories
uv run pytest tests/test_session.py -v

Code Quality

# Format code
uv run ruff format

# Lint code
uv run ruff check

# Type checking
uv run mypy src/playpi

License

MIT License. See LICENSE for details.

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