Phi Agent Showcase

A showcase of Phi Agent capabilities featuring a Streamlit-powered Research and Finance AI assistant built with Meta Llama 3.3 70B Instruct Turbo.

Features

• 📰 Research Assistant: Generates comprehensive articles on any topic using web research
• 📊 Finance Assistant: Provides detailed financial analysis and market insights
• 🤖 Multiple LLM Support: Compatible with various AI models:
  • Together AI (Meta Llama 3.3 70B Instruct Turbo)
  • OpenAI (GPT-4, GPT-3.5)
  • Anthropic (Claude)
  • Groq
  • Grok
  • And more!
• 💬 Interactive chat interface
• 🔄 Real-time responses
• 🎯 Easy-to-use Streamlit interface

Screenshot

Prerequisites

• Python 3.8+
• Together AI API key (or API key for your preferred LLM provider)
• Internet connection for web research

Installation

1. Clone the repository:

git clone https://github.com/yourusername/phi-agent-showcase.git
cd phi-agent-showcase

2. Install dependencies:

pip install -r requirements.txt

3. Create a .env file in the root directory:

# Required for Together AI (default)
TOGETHER_API_KEY=your_together_api_key_here

# Optional: For using other models
OPENAI_API_KEY=your_openai_key_here
ANTHROPIC_API_KEY=your_anthropic_key_here
GROQ_API_KEY=your_groq_key_here

Usage

1. Run the Streamlit app:

streamlit run app.py

2. Select the assistant type from the sidebar:

   • Research Assistant: For article generation and research
   • Finance Assistant: For stock analysis and market insights

3. Enter your query in the chat input:

   • For Research: Enter any topic
   • For Finance: Enter a stock symbol (e.g., AAPL)

Switching Models

To use a different LLM provider, modify the AIAgentFactory class in app.py:

# For OpenAI
from phi.model.openai import OpenAIChat

self.base_model = OpenAIChat(model="model name of your choice")

# For Anthropic
from phi.model.anthropic import Anthropic

self.base_model = Anthropic(model="model name of your choice")

# For Groq
from phi.model.groq import Groq

self.base_model = Groq(model="model name of your choice")

Project Structure

phi-agent-showcase/
├── app.py              # Main Streamlit application
├── requirements.txt    # Project dependencies
├── .env.example       # Example environment variables
├── .gitignore         # Git ignore file
├── LICENSE            # MIT License
└── README.md          # Project documentation

Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Phi Framework for the excellent agent framework
• The open-source community for various tools and libraries used in this project

Disclaimer

This is a demonstration project to showcase the capabilities of Phi Agent. Please ensure you comply with the terms of service and usage policies of the respective LLM providers.