feat: Phase III - Todo AI Chatbot Specification #5
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Add specialized AI agents for full-stack development: - authentication-specialist: Better Auth integration - backend-expert: FastAPI and Python patterns - frontend-expert: Next.js 16+ development - database-expert: SQLModel and Neon PostgreSQL - fullstack-architect: System architecture decisions - ui-ux-expert: Modern UI design - chatkit engineers: OpenAI ChatKit integration Add development skills with templates and references: - better-auth-python/ts: JWT verification patterns - fastapi: API routing and dependencies - nextjs: App Router and Server Components - drizzle-orm: Type-safe database queries - neon-postgres: Serverless PostgreSQL - framer-motion: React animations - shadcn: UI component patterns - tailwind-css: Utility-first styling - context7-documentation-retrieval: Library docs Update slash commands for spec-driven development 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Add PowerShell scripts for Windows development: - check-prerequisites.ps1: Verify development environment - common.ps1: Shared utility functions - create-new-feature.ps1: Feature scaffolding - setup-plan.ps1: Plan file initialization - update-agent-context.ps1: Agent context management Add Architecture Decision Records (ADRs): - 0001: Transition to full-stack web application architecture - 0002: Authentication with Better Auth and JWT - 0003: Full-stack technology stack selection - 0004: Authentication technology stack decisions - 0005: PWA offline-first architecture Update constitution.md for Phase II requirements: - Multi-user authentication support - Persistent storage with Neon PostgreSQL - Better Auth for frontend, JWT for backend - Vertical slice architecture methodology Update .gitignore for full-stack development 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Backend (FastAPI + Python): - JWT verification with EdDSA/JWKS from Better Auth - Protected route middleware and dependencies - User and session models with SQLModel - Database migrations and table creation scripts - Neon PostgreSQL integration with connection pooling - Task CRUD API with user isolation - Profile image upload with secure file handling - Comprehensive test suite for auth flows Specs and Documentation: - Feature specification with user stories - Architecture plan and data models - API contracts (OpenAPI/YAML format) - Better Auth integration guide - Implementation task breakdown - Requirements checklist Prompt History Records for traceability 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Specifications for full task management: - Task creation, reading, updating, deletion - Priority levels (low, medium, high) - Tag-based categorization - Search and filter functionality - Sort by date, priority, status - Completion status tracking Implementation plan covering: - Backend API endpoints - Frontend components - State management - Database schema updates 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Complete UI overhaul with industry-standard design: - Design system with consistent tokens and variables - Tailwind CSS configuration with custom theme - Framer Motion animations and micro-interactions - Responsive layouts for all screen sizes - Dark mode support with system preference detection Components implemented: - Authentication pages (login, register, forgot password) - Dashboard with task overview and stats - Task list with filtering, sorting, and search - Task detail and edit views - Profile and settings pages - Navigation and sidebar components Design specifications and implementation plan 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Marketing landing page specifications: - Hero section with animated headlines - Feature showcase with icon grid - Testimonials carousel - Pricing comparison table - Call-to-action sections - Mobile-responsive design Implementation plan with: - React components structure - Framer Motion animations - SEO optimization - Performance considerations 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Progressive Web App (PWA) features: - Service worker for offline support - App manifest for installation - IndexedDB for local data caching - Background sync for offline changes - Push notification infrastructure Profile enhancements: - Avatar upload with image cropping - Profile settings management - Account preferences - Notification settings - Data export functionality ADR for PWA offline-first architecture 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Complete Next.js 16+ frontend with: Authentication: - Better Auth integration with email/password - OAuth social login support (Google, GitHub) - Session management and JWT handling - Protected routes and middleware Task Management UI: - Dashboard with task overview and stats - Task list with real-time filtering and sorting - Task creation, editing, and deletion - Priority and tag management - Search functionality Profile Features: - User profile page with avatar upload - Settings and preferences - Account management Design System: - Tailwind CSS with custom theme - shadcn/ui component library - Framer Motion animations - Dark mode support - Responsive mobile-first design Landing Page: - Hero section with animations - Feature showcase - Pricing and testimonials PWA Support: - Service worker configuration - Offline caching strategy - App manifest 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Reorganize PHR directory structure: - Rename console-task-manager to 001-console-task-manager - Use standardized 4-digit numbering (0001-, 0002-, etc.) Add constitution PHRs: - 0001: Initial Python console app constitution - 0002: Phase II full-stack transition - 0003: Development methodology updates - 0004: Multi-phase vertical slice architecture Add general PHRs: - Auth user story specification - Technology research sessions - Backend analysis and debugging - Git workflow documentation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Update README.md: - Add full-stack architecture overview - Document frontend and backend setup - Add development quickstart guide - Include technology stack details Update CLAUDE.md: - Add Phase II specialized agents guidance - Update skill usage recommendations - Document active technologies per feature Add phase-two-goal.md: - Define full-stack web application vision - Outline feature progression roadmap - Specify technology requirements Add root package-lock.json and test utilities 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- 001-auth-integration: Update to 159/180 tasks (88%), mark security/testing/documentation items as completed - 004-landing-page: Mark accessibility and theme tasks completed - 005-pwa-profile-enhancements: Update to 56/59 tasks (95%), remaining: PWA icons generation and Lighthouse audit 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Remove 001-console-task-manager specs and implementation - Remove console app Python code (src/cli, src/models, src/services) - Remove related unit and integration tests - Add PWA profile enhancements prompt history record - Prepare branch for 002-web-task-manager implementation 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Introduce Phase III specification for AI-powered todo chatbot with MCP architecture, OpenAI Agents SDK, and ChatKit integration. Updates constitution to v3.0.0 with stateless architecture requirements and global project rules. Changes: - Constitution: Add Phase III AI chatbot architecture section - Constitution: Add Global Project Rules for cross-phase governance - CLAUDE.md: Refactor and add Phase III agent/skill requirements - Add Claude skills: chatkit-backend, chatkit-gemini, sqlmodel, mcp-python-sdk - Add phase-three-goal.md specification - Add todo-app-feature-requirements.md - Add PHRs for constitution and skill creation prompts 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Complete feature specification for AI-powered chatbot integration: - 10 user stories covering core chat, Urdu support, and voice commands - 30 functional requirements (FR-001 to FR-030) - 17 measurable success criteria - Clarifications for rate limiting, task matching, speech services - Edge cases for error handling, multi-language, and voice input Features specified: - Natural language task management (CRUD operations) - Floating widget in bottom-right corner - Multi-language support (English + Urdu) - Voice commands with browser Web Speech API - Conversation persistence and tool chaining 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Add comprehensive planning documentation for Todo AI Chatbot: - Implementation plan with 4-phase architecture - Detailed tasks breakdown (37 backend + 8 frontend tasks) - Data model design with SQLModel schemas - API contracts for chat endpoint - Research notes and quickstart guide - Prompt history records for planning sessions Also add Context7 MCP tool permissions to settings. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Implemented production-ready AI chatbot (Lispa) with natural language task management, voice input, real-time updates, and robust error handling. Key Features: - Natural language task operations (add/delete/complete by name) - Voice input with beautiful UI and error handling - Real-time task list updates using SWR - Simplified ChatKit integration (phase-3 reference implementation) - Multi-step agent workflows with explicit instructions Critical Fixes: - Agent tool call workflow: Two-step operations (list → delete/complete) - Tool schema validation: Changed Optional[str] to str with default - JWT authentication: Proper token injection in ChatKit fetch - React hydration: Dynamic import with ssr: false - UI positioning: Voice button in top-left, no overlaps - Real-time updates: SWR mutate with 500ms delay for DB commits Technical Improvements: - Agent instructions with mandatory language and visual separators - list_tasks returns task data for agent parsing - Filtered voice "aborted" errors (expected behavior) - Switched to Groq LLM provider (free tier) - Added comprehensive CSS for widget overflow prevention - Fixed message history append vs replace issue Files Added: - backend/src/chatbot/ (agent, tools, widgets, model_factory) - backend/src/api/chatkit.py (ChatKit protocol endpoint) - backend/src/services/chat_service.py (conversation/message persistence) - backend/src/middleware/rate_limit.py (20 msg/min) - backend/src/models/chat*.py (Conversation, Message, enums) - backend/migrations/add_chat_tables.py - frontend/components/chat/ (FloatingChatWidget, VoiceInput) - frontend/hooks/useAuthToken.ts - Comprehensive test suite (unit + integration) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
…idget streaming Completed Phase III Todo AI Chatbot with Model Context Protocol (MCP) architecture: Backend: - MCPTaskAgent connects to MCP server via stdio transport for tool access - Stateless design - all state persisted to database via DatabaseStore - Widget streaming system with builders for task operations - Enhanced agent instructions with strict widget display rules - Database-backed ChatKit store for conversation persistence Frontend: - ThemedChatWidget component with CDN integration - Enhanced global CSS for chat widget styling - Floating chat widget with proper z-index and positioning Infrastructure: - MCP server in src/mcp_server with task management tools - Task tools (add, list, complete, delete, update) via MCP protocol - JWT authentication and debugging utilities - Comprehensive test suite for MCP server and authentication Documentation: - Updated README with MCP architecture overview - Implementation status tracking - MCP research notes and quickstart guide - Phase III specification and task breakdown This implementation follows the stateless architecture mandate where: - Server holds NO state between requests - User messages stored BEFORE agent runs - Assistant responses stored AFTER completion - All task operations via MCP tools as interface 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Owner
Author
🚀 Latest Update: MCP Architecture ImplementationJust pushed comprehensive MCP-based chatbot implementation (commit What's NewComplete MCP Architecture
Key Stats
Ready for Testing
Next Steps
The implementation follows all Phase III mandates: stateless architecture, MCP tools as interface, widget streaming, and custom backend mode. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Summary
Complete MCP-based AI chatbot implementation for Phase III: Todo management through natural language with stateless architecture and widget streaming.
Architecture Overview
Key Implementation Details
MCP Architecture (Stateless)
Widget Streaming System
ctx.context.stream_widget()during tool executionDatabase Integration
Frontend Components
Files Changed
New Files (13)
backend/src/chatbot/mcp_agent.py- MCP agent implementationbackend/src/chatbot/task_tools.py- MCP tool decoratorsbackend/src/mcp_server/- MCP server with task toolsbackend/src/services/db_chatkit_store.py- Database storebackend/src/services/mcp_chatkit_server.py- ChatKit serverfrontend/components/chat/ThemedChatWidget.tsx- Themed widgetspecs/006-todo-ai-chatbot/plan.md- Implementation planspecs/006-todo-ai-chatbot/implementation-status.md- Progress trackingspecs/006-todo-ai-chatbot/mcp-research.md- MCP architecture notesModified Files (21)
Critical Implementation Rules
✅ STATELESS MANDATE: Server holds NO state between requests
✅ MCP TOOLS: Agent interacts with tasks ONLY through MCP tools
✅ WIDGET STREAMING: Display via
stream_widget(), NOT agent text✅ CDN REQUIRED: ChatKit CDN must load for proper widget rendering
✅ CUSTOM BACKEND: Uses FastAPI backend (not hosted workflows)
Test Plan
Debugging Guide
Backend Issues
stream_widget()call in toolsrun_streamed()notrun_syncFrontend Issues
Related Documentation
specs/006-todo-ai-chatbot/spec.mdspecs/phase-three-goal.mdspecs/006-todo-ai-chatbot/mcp-research.mdspecs/006-todo-ai-chatbot/quickstart.md🤖 Generated with Claude Code