Added new tutorial
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ai_agent_tutorials/xai_finance_agent/README.md
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ai_agent_tutorials/xai_finance_agent/README.md
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## 📊 AI Finance Agent with xAI Grok
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This application creates a financial analysis agent powered by xAI's Grok model, combining real-time stock data with web search capabilities. It provides structured financial insights through an interactive playground interface.
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### Features
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- Powered by xAI's Grok-beta model
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- Real-time stock data analysis via YFinance
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- Web search capabilities through DuckDuckGo
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- Formatted output with tables for financial data
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- Interactive playground interface
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### How to get Started?
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1. Clone the GitHub repository
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```bash
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git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
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```
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2. Install the required dependencies:
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```bash
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cd ai_agent_tutorials/xai_finance_agent
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pip install -r requirements.txt
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```
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3. Get your OpenAI API Key
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- Sign up for an [xAI API account](https://console.x.ai/)
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- Set your XAI_API_KEY environment variable.
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```bash
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export XAI_API_KEY='your-api-key-here'
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```
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4. Run the team of AI Agents
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```bash
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python xai_finance_agent.py
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```
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5. Open your web browser and navigate to the URL provided in the console output to interact with the AI financial agent through the playground interface.
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ai_agent_tutorials/xai_finance_agent/requirements.txt
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ai_agent_tutorials/xai_finance_agent/requirements.txt
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phidata
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duckduckgo-search
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yfinance
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fastapi[standard]
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openai
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ai_agent_tutorials/xai_finance_agent/xai_finance_agent.py
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ai_agent_tutorials/xai_finance_agent/xai_finance_agent.py
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# import necessary python libraries
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from phi.agent import Agent
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from phi.model.xai import xAI
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from phi.tools.yfinance import YFinanceTools
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from phi.tools.duckduckgo import DuckDuckGo
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from phi.playground import Playground, serve_playground_app
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# create the AI finance agent
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agent = Agent(
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name="xAI Finance Agent",
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model = xAI(id="grok-beta"),
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tools=[DuckDuckGo(), YFinanceTools(stock_price=True, analyst_recommendations=True, stock_fundamentals=True)],
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instructions = ["Always use tables to display financial/numerical data. For text data use bullet points and small paragrpahs."],
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show_tool_calls = True,
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markdown = True,
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)
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# UI for finance agent
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app = Playground(agents=[agent]).get_app()
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if __name__ == "__main__":
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serve_playground_app("xai_finance_agent:app", reload=True)
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