deep-research-py 0.1.0

An AI-powered deep research assistant in python

🐍 Deep Research Assistant PY

An AI-powered research tool in Python that helps you explore topics in depth using AI and web search.

Save 200 dollars a month and use this tool

a python port of https://github.com/dzhng/deep-research

Project Structure

deep_research_py/
├── run.py              # Main CLI interface
├── deep_research.py    # Core research logic
├── feedback.py         # Follow-up question generation
├── prompt.py           # System prompts for AI
└── ai/
    ├── providers.py    # AI service configuration
    └── text_splitter.py # Text processing utilities

Features

• Interactive Research: Asks follow-up questions to better understand your needs
• Depth Control: Customize research breadth and depth
• Web Integration: Uses Firecrawl for reliable web content extraction
• Smart Synthesis: Combines multiple sources into coherent findings
• Beautiful CLI: Rich text interface with progress tracking
• Markdown Reports: Generates well-formatted research reports

Installation

Install directly from GitHub:

pip install git+https://github.com/epuerta0/deep-research-py.git

Configuration

Set your API keys as environment variables:

# Required: OpenAI API key
export OPENAI_API_KEY=your-openai-key-here

# Required: Firecrawl API key
export FIRECRAWL_KEY=your-firecrawl-key-here

Usage

Run the research assistant:

deep-research

You'll be prompted to:

1. Enter your research topic
2. Set research breadth (2-10, default 4)
3. Set research depth (1-5, default 2)
4. Answer follow-up questions
5. Wait while it researches and generates a report

Development Setup

Clone the repository and set up your environment:

# Clone the repository
git clone https://github.com/epuerta0/deep-research-py.git
cd deep-research-py

# Create and activate virtual environment
python -m venv .venv
source .venv/bin/activate

# Install in development mode
pip install -e .

# Set your API keys
export OPENAI_API_KEY=your-openai-key-here
export FIRECRAWL_KEY=your-firecrawl-key-here

# Run the tool
deep-research

Requirements

• Python 3.9 or higher
• OpenAI API key (GPT-4 access recommended)
• Firecrawl API key for web search
• Dependencies:
  • openai
  • firecrawl-py
  • typer
  • rich
  • prompt-toolkit
  • aiohttp
  • aiofiles
  • tiktoken

Output

The tool generates:

• A markdown report saved as output.md
• List of sources used
• Summary of key findings
• Detailed analysis of the topic

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.