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README

my-cursor-project

A Cursor-powered AI development environment with advanced agentic capabilities.

Quick Start

1. Activate the virtual environment:

   # On Windows
   venv\Scripts\activate
   
   # On macOS/Linux
   source venv/bin/activate
   

2. Configure your environment:

   • Copy .env.example to .env if you haven't already
   • Add your API keys in .env (optional)

Available Tools

Your project includes several powerful tools in the tools/ directory:

LLM Integration

from tools.llm_api import query_llm

# Use LLM for assistance
response = query_llm(
    "Your question here",
    provider="anthropic"  # Options: openai, anthropic, azure_openai, deepseek, gemini
)
print(response)

Web Scraping

from tools.web_scraper import scrape_urls

# Scrape web content
results = scrape_urls(["https://example.com"], max_concurrent=3)

Search Engine

from tools.search_engine import search

# Search the web
results = search("your search keywords")

Screenshot Verification

from tools.screenshot_utils import take_screenshot_sync
from tools.llm_api import query_llm

# Take and analyze screenshots
screenshot_path = take_screenshot_sync('https://example.com', 'screenshot.png')
analysis = query_llm(
    "Describe this webpage",
    provider="openai",
    image_path=screenshot_path
)

Note: When you first use the screenshot verification feature, Playwright browsers will be installed automatically.

AI Assistant Configuration

This project uses .cursorrules to configure the AI assistant. The assistant can:

• Help with coding tasks
• Verify screenshots
• Perform web searches
• Analyze images and code

Environment Variables

Configure these in your .env file:

• LLM_API_KEY: Your LLM API key (optional)
• AZURE_OPENAI_API_KEY: Azure OpenAI API key (optional)
• AZURE_OPENAI_ENDPOINT: Azure OpenAI endpoint (optional)
• AZURE_OPENAI_MODEL_DEPLOYMENT: Azure OpenAI model deployment name (optional)

Note: Basic functionality works without API keys. Advanced features (like multimodal analysis) require appropriate API keys.

Development Tools

• .devcontainer/: VS Code development container configuration
• .vscode.example/: Recommended VS Code settings
• .github/: CI/CD workflows

License

MIT License