Agentic AI Repository

Agentic AI is a cutting-edge framework for developing and deploying multiple specialized AI agents. These agents are designed to perform tasks such as web search, financial analysis, and more. The project utilizes advanced AI models and tools to provide robust, efficient, and insightful solutions.

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Features

1. Web Search Agent

   • Uses DuckDuckGo for retrieving web information.
   • Always includes sources in the response.
   • Leverages the Groq model for enhanced tool usage.

2. Finance AI Agent

   • Retrieves financial data such as stock prices, analyst recommendations, and company news using YFinance tools.
   • Presents data in tabular format for better readability.
   • Powered by the Groq model for precise financial insights.

3. Multi-AI Agent

   • Combines the capabilities of Web Search Agent and Finance AI Agent.
   • Unified response format adhering to instructions like including sources and using tables.

4. Playground App

   • Interactive UI for testing and deploying agents.
   • Built using the phi library's Playground module.

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Repository Structure

Agentic AI/
├── agents/                        # AI agents implementation
│   ├── web_search_agent.py        # Web Search Agent code
│   ├── finance_agent.py           # Finance AI Agent code
│
├── app.py                         # Playground app for interacting with agents
├── requirements.txt               # Python dependencies
├── README.md                      # Project documentation
├── .env                           # Environment variables
└── .gitignore                     # Files to ignore in Git

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Setup

1. Clone the Repository

   git clone https://github.com/yourusername/AgenticAI.git
   cd AgenticAI

2. Install Dependencies Ensure Python 3.8+ is installed.

   pip install -r requirements.txt

3. Environment Variables Create a .env file in the root directory with the following keys:

   OPENAI_API_KEY=your_openai_api_key
   PHI_API_KEY=your_phi_api_key

4. Run the Playground App

   python app.py

   The app will be available at http://localhost:8000.

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Usage Examples

Web Search Agent

response = web_search_agent.print_response("Find the latest news about AI technologies.", stream=True)
print(response)

Finance AI Agent

response = finance_agent.print_response("Provide analyst recommendations and company news for Tesla.")
print(response)

Multi-AI Agent

response = multi_ai_agent.print_response("Summarize analyst recommendation and share the latest news for NVDA.", stream=True)
print(response)

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Contributing

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature-name

3. Commit your changes:

   git commit -m 'Add some feature'

4. Push to the branch:

   git push origin feature-name

5. Open a pull request.

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License

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

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Acknowledgments

Special thanks to the developers of the phi library, OpenAI, and YFinance for their incredible tools and support.