playpi 1.0.7

Automate AI chat workflows through browser automation

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. The package delegates all browser lifecycle management to the playwrightauthor library, so Chrome for Testing installation and profile handling happen automatically.

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,  # Retained for compatibility; playwrightauthor runs headed
        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

# Headless flag is currently ignored (playwrightauthor manages a visible Chrome instance)
playpi google "Climate change mitigation strategies" --verbose

# Test browser session
playpi test

Prerequisites

Authentication

Before using Google Deep Research, you need to:

1. Login to Google: Open https://gemini.google.com in your browser and sign in
2. Browser profiles: PlayPi relies on playwrightauthor-managed profiles, so you only need to login once in the selected profile

System Requirements

• Python 3.12+
• Chrome for Testing (downloaded automatically by playwrightauthor)
• 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): Retained for compatibility; playwrightauthor currently launches Chrome in headed mode (default: True)
• timeout (int): Maximum wait time in seconds (default: 600)
• verbose (bool): Enable detailed logging (default: False)
• profile (str): Browser profile name managed by playwrightauthor (default: "default")

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.