Deploy Python and Refactor Code

Hi there,

This project sounds right up my alley! I’d love to help you deploy your app to Google Cloud Run and build a clean, reliable HITL flow using LangGraph with Supabase. I’ll make sure your webhook endpoints are production-ready, your state management is rock solid, and users can easily review and tweak LLM-generated schedules.

Once that’s in place, we’ll wire everything up so the LangGraph workflow resumes seamlessly from saved states.

Let’s make this smooth, scalable, and user-friendly.

Hi, I worked on similar systems before where users can change AI-generated plans in the middle of a workflow. I can make sure LangGraph saves its state to Supabase in a way that's easy to resume later.
The HITL step will be clear. Users can review and change the schedule, and the system will know where to continue from. It won't start over or lose progress.
I'll set up webhook endpoints on Cloud Run. These will let you start or resume the workflow from any saved state.
If something breaks, you'll know exactly where and why.
Let me know if you want to walk through the plan together.

I can set this up so it runs smoothly on Cloud Run. The system will remember where each user left off by saving the state to Supabase. I'll add a step where people can look at the schedule and make changes before it continues. If they update anything, the workflow will pick up from there without starting over. I'll also create simple webhook links so the system knows when to pause and when to keep going. Everything will stay clean, clear, and easy to manage. Let me know if you’d like me to show how that step might look.