As a Frontend Developer, I want to implement the global theme and structural layout across all scaffold pages so that the app visually matches the mock-design pages exactly. This includes applying the color palette (Background: #E8F0F2, Surface: #FFFFFF, Text: #2C3E50, Accent: #00A8CC, Muted: #BDC3C7), typography, spacing, component library setup, and removing any pages not required by the SRD. Ensure all existing scaffold pages (home, login, signup, welcome, dashboard/overview, dashboard/ai-assistant, dashboard/settings) are aligned or removed based on design requirements. This task must be completed independently before any other page-specific tasks begin.
As a Backend Developer, I want to implement a FastAPI endpoint for processing user queries so that the Home page can submit queries and the Results page can display AI-generated answers. The endpoint should accept a query string (max 500 characters), route it via LiteLLM to the appropriate AI model (GPT 5.4, Claude 4.6 Opus, or Gemini 3.1 Pro), and return a structured response within 1 second. Include error handling and input validation aligned with Indian data protection regulations.
As a Frontend Developer, I want to implement the Home page based on the existing JSX design (Home v3) so that users can view the dynamic problem-solving portal with a glowing hexagonal grid. The page should include: animated hexagonal grid with hover interactions, a central 'Ask or Solve' hexagon that expands a query input field, gradient background from #E8F0F2 to #00A8CC, and micro-interactions (pulsating grid, lighting hexagons). Users land here and are directed to activate and submit a query. This page links to the Results page upon query submission.
As a Frontend Developer, I want to implement the Results page based on the existing JSX design (Results v2) so that users can view AI-generated answers and solutions in a card format with slide-in animations. The page should display the query response, allow users to 'Ask Again' (linking back to the Home query input), and include a 'Regenerate Requirements' button for selective re-run capability with a real-time feedback modal. This page receives input from the Home page query submission and loops back to the Home query state.
As an AI Engineer, I want to integrate LiteLLM and Langchain for LLM routing so that user queries are dispatched to the correct AI model based on query type (GPT 5.4 for user-friendly responses, Claude 4.6 Opus for academic/coding, Gemini 3.1 Pro for friendly responses). Configure model selection logic, fallback strategies, and response normalization to ensure consistent output format for the Results page.
As a Backend Developer, I want to implement a FastAPI endpoint for selective SRD re-run capability so that users can manually trigger regeneration of specific system requirements from the Results page. The endpoint should accept a re-run request, process it with minimal latency, and return real-time feedback to be displayed in the modal window on the Results page.
As a Frontend Developer, I want to connect the Home page query input to the backend Query Answer API so that users can submit queries from the animated portal and be navigated to the Results page with the AI response. Implement loading states, error handling, and smooth transition animations between Home and Results pages.
As a Frontend Developer, I want to connect the Results page 'Regenerate Requirements' button to the Selective Re-run API so that users receive real-time feedback in a modal window when triggering SRD regeneration. Implement the modal UI, loading indicator, and response display within the Results page design.

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