What should I post, I have been working on this system since the begining of the year, I ahve put alot of time and money into it, agent two would work fine with the codebase and would browse the files and features we built well, I documented everything in the app well so the agent could follow everything and this worked great and costs were managable. Now it seems the agent tries to initiate a task, then just gets lost and hangs, nothing happens. I’m not getting charged for this which is fine, but the only way to get it unstuck is to enable high power mode which is expensive. I had the extended thinking mode enabled all the time since they introduced it and it would work great.
here is a copy of my replit.md
IZIOS Diamond Management Platform
Overview
IZIOS is a comprehensive diamond intelligence platform focused on lab-grown diamonds. It functions as an inventory management system and an e-commerce platform capable of handling 600k+ to 1M+ diamond inventories. The platform aims to lead the lab-grown diamond market by leveraging AI for a superior customer experience, offering transparent pricing, and providing sophisticated analytical tools, simplifying diamond discovery and purchasing.
User Preferences
Preferred communication style: Simple, everyday language. Preferred color scheme: Blue colors with pastel blends instead of gray tones - likes blue but wants soft, pastel variations rather than intense blues.
System Architecture
Frontend
-
Framework: React with TypeScript
-
Styling: TailwindCSS with shadcn/ui components
-
State Management: TanStack React Query
-
Build Tool: Vite
-
Design: Mobile-first, responsive, pastel blue color scheme with glassmorphism effects, consistent typography, and Framer Motion animations. Collapsible measurements and enhanced specification badges on diamond cards.
Backend
-
Runtime: Node.js with Express.js
-
Language: TypeScript
-
Authentication: JWT tokens with role-based access control; PostgreSQL-based session store.
-
API Design: RESTful endpoints with GraphQL integration for external services.
-
Nivoda Services Architecture: 3-tier system with centralized token management, priority-based service coordination (max 2 concurrent services), and unified API client with rate limiting and request queuing.
-
Performance: Multi-tier caching and composite database indexing for sub-200ms search response times. Intelligent 360° video preloading with device-aware optimization.
-
Nivoda Hold Management: Holds placed ONLY after payment success. Admin interface at /admin/holds with release controls and Nivoda synchronization.
-
Proprietary Systems: IZIOS LightScore™ (AI-enhanced 1-100 scale optical performance analysis) and SmartPrice™ (AI-driven market intelligence pricing system).
-
Diamond Import & Management: Fixed fancy color extraction for display; comprehensive internal order management; platform-agnostic diamond hold service; comprehensive notification system.
-
SEO & Performance: Server-Side Rendering (SSR) for listings and key pages; AMP for mobile SEO.
-
AI & Market Intelligence: Database-driven SmartPrice™; Diamond Scout™ (GPT-5 powered search infrastructure with function calling, conversational interaction, and AI-powered vector search using PostgreSQL pgvector with OpenAI embeddings). Optimized multi-tier GPT-5 model selection for cost reduction. Text-based color filtering.
-
Admin & Compliance: Comprehensive API documentation at /docs; unified SEO management at /admin/seo; FTC & GIA regulatory compliance transparency.
-
Integration Features: Enhanced OpenGraph Chat Integration with rich diamond previews; comprehensive API security & rate limiting; ChatGPT Smart Search API integration.
-
Email & B2B: Complete email subscriber management system at /admin/email-management; enhanced B2B checkout with company information and address book.
-
Dynamic Page Generation: Zero-404 system for diamond URLs, parsing details from URLs and suggesting alternatives with AI.
-
Diamond Management Center: Handles 600k-1M diamonds with archival controls, Nivoda import integration, bulk operations, advanced filtering, and live statistics.
-
Advanced Diamond Import Controls: Multi-tab configuration dialog for source selection (Nivoda, CSV, RapNet, IDEX), filters (origin, color, shape, price, carat, quality, location), scheduling, and technical options.
-
Nivoda API Integration: Corrected GraphQL queries, field mappings, and nested response handling for comprehensive diamond data retrieval and large inventory processing.
-
International Expansion Ready: Added country field to diamond schema with “United States” default, positioning system for future international diamond support.
-
ShipStation Integration Complete: Fully operational Custom Store XML endpoint with authentication, proper order data formatting, and country field support for comprehensive shipping management.
-
Fancy Color Bug Resolution (Aug 2025): Successfully resolved missing fancyColor field in TypeScript schema. Added proper field mapping, enhanced extraction service to recognize fancy colors in main color field, and updated all 88 existing fancy diamonds with accurate color data. Both fancy and white diamond filtering now function correctly with authentic Nivoda data.
-
Comprehensive Route Audit (Aug 2025): Successfully reduced system from 135 to 120 total route files, removing 15 unused/duplicate routes. Diamond-related routes streamlined from 29 to 14 essential routes, eliminating duplicates like clean-diamond-search.ts, normalized-diamond-api.ts, optimized-diamonds-api.ts, performance-diamond-api.ts, and others. System functionality verified working after cleanup with proper API responses and reduced LSP errors.
-
Import Efficiency Optimization (Aug 20, 2025): CRITICAL FIX - Resolved import system wasting time on 100% duplicates. Implemented smart offset calculation (database count + 30% buffer - reduced from 50% for safety) and aggressive duplicate escape strategy (1000+ position jumps with 90% boundary protection). Fixed resume logic to start at ~65,278 offset instead of 50,000 for 50k+ diamond databases. Import efficiency dramatically improved from 0% to expected 80%+ new diamonds per session.
-
Volume Management System (Aug 20, 2025): Implemented comprehensive optimizations for handling 600k-1M diamonds: Daily availability checker (2 AM daily) that ONLY archives diamonds confirmed unavailable through API checks (not time-based), inventory checker upgraded to 500 diamonds per session, duplicate cleanup system, database optimization with VACUUM ANALYZE. Added boundary protection to prevent imports jumping past 500k limit. UI session display fixed to show proper progress with fallback to 500,000 total. NOTE: Diamonds can sit for months and remain available - archiving is based on availability, not age.
-
Unified Scheduler Manager (Aug 20, 2025): MAJOR UPGRADE - Replaced scattered scheduling with centralized coordination system. Staggered task timing (price updates: 20min, availability: 35min) prevents API conflicts. Import-aware scheduler automatically pauses maintenance during imports, resumes when complete. Single concurrent task limit with emergency stop. Coordinates with existing NivodaServiceCoordinator for comprehensive API management.
-
Zero-404 Dynamic Page Generation (Aug 23, 2025): CRITICAL FEATURE - Implemented sophisticated zero-404 system that eliminates internal server errors for crawled diamond links. System parses requested diamond URLs to extract specifications (shape, carat, color, clarity, stock ID), serves proper HTML pages with “diamond no longer available” message and similar alternatives within 10% tolerance. Features: URL parsing middleware that sets flags for missing diamonds, dedicated /api/diamond-not-found/similar endpoint that finds recommendations, React page component that displays similar diamonds with proper SEO, automatic redirect from missing /diamond/* URLs to /diamond-not-found?url=... with 302 redirects for crawlers. Eliminates JSON 404s and provides user-friendly alternatives instead of internal server errors.
-
Scoring System Standardization (Aug 23, 2025): CRITICAL UPDATE - Standardized all LightScore™ and SmartPrice™ references to use consistent 1-100 scale throughout the platform. Updated terminology service, API documentation, user guides, technical documentation, and all scoring functions to reflect AI-enhanced approach. Enhanced messaging focuses on proprietary machine learning algorithms and computer vision technology while avoiding competitive references. All SmartValue references updated to SmartPrice™ for consistent branding. Function names updated from calculateSmartValue to calculateSmartPrice across all services. Added advanced computer vision details: LightScore™ vision model trained on hundreds of thousands of 360° diamond views to detect optical properties and light transmission, identifying superior diamonds beyond basic measurements and sometimes inaccurate grading reports (does not yet perform 3D mapping - analyzes existing 360° views for optical effects). Removed specific facet count claims to maintain accuracy.
Data Storage
-
Primary Database: PostgreSQL 16 with Drizzle ORM.
-
Schema: Single table (lab_grown_diamonds) optimized for search.
-
Caching: NodeCache for search results, filter options, and count queries.
-
Session Storage: PostgreSQL session store.
External Dependencies
-
Nivoda GraphQL API: Primary diamond inventory source.
-
WooCommerce API: Checkout, order management, and fulfillment backend.
-
SendGrid: Email notifications.
-
Stripe: Internal payment processing.
-
ShipStation API v2: Comprehensive shipping and fulfillment management (rate shopping, label creation, session processing, tracking, manifests, pickup scheduling).
-
FedEx API: Address validation and standardization.
-
Replit PostgreSQL: Managed database service.
-
Media Proxy: Diamond image and 360° video delivery.
-
Google Shopping Feed: Product data submission.
-
OpenAI DALL-E 3: Integrated with AI Jewelry Designer for image generation.
-
Replit Object Storage: Permanent storage for AI Jewelry Designer generated images and user profile images with client-side processing.
Image Storage Standards
Client-Side Image Processing & Replit Object Storage
Standard Pattern for All Image Uploads (Profile Images, Product Images, etc.):
Frontend Processing:
-
Browser-based image resize to 300px max dimension (maintains aspect ratio)
-
Convert to WebP format with 85% quality for optimal compression
-
Client-side validation (file type, max 10MB original size)
-
Base64 encoding for server transmission
Backend Storage:
-
Use @replit/object-storage Client for all image operations
-
Store processed images with organized filenames: {category}/{userId}-{timestamp}.webp
-
Generate public URLs for serving: /api/{category}/serve/{filename}
-
Implement caching headers for optimal performance
Example Implementation Pattern:
// Client: ProfileImageUploader.tsx - Browser processing & upload
const processImage = (file: File): Promise<string> => {
// Canvas-based resize to 300px + WebP conversion
};
// Server: profile-image.ts - Replit Object Storage
const { Client } = require('@replit/object-storage');
const client = new Client();
await client.uploadFromBytes(filename, imageBuffer);
Benefits:
-
No server-side image processing overhead
-
Consistent WebP format across platform
-
Efficient cloud storage with CDN-like serving
-
Scalable for high-volume image uploads