- Refactors the gtm-architect Dockerfile for a flat, more efficient build process. - Implements robust web scraping via BeautifulSoup in helpers.py for URL analysis in phase1. - Makes shared library imports (gspread, pandas, etc.) in helpers.py optional to prevent ModuleNotFoundErrors in microservices. - Implements the main execution logic in the orchestrator to handle command-line arguments. - Updates documentation to reflect the new architecture, scraping feature, and dependency handling.
Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/drive/1bvzSOz-NYMzDph6718RuAy1mnCSjjylz
Run Locally
Prerequisites: Node.js
- Install dependencies:
npm install - Set the
GEMINI_API_KEYin .env.local to your Gemini API key - Run the app:
npm run dev