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feat: Integrate Mermaid.js into markdown renderer for enhanced visualization capabilities
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.devlog/entries/273-redesigned-chat-history-import-and-visual-display-.json

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"status": "in-progress",
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"priority": "high",
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"createdAt": "2025-07-24T12:55:49.711Z",
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"updatedAt": "2025-07-24T13:49:40.562Z",
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"updatedAt": "2025-07-24T14:29:39.257Z",
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"notes": [
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{
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"id": "c22373c6-114b-4c5d-becf-0b84ced4b8b6",
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"timestamp": "2025-07-24T13:49:40.562Z",
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"category": "progress",
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"content": "## Major Implementation Milestones Achieved! ✅\n\n### 🎯 **3 of 4 Core Components Complete**:\n\n**✅ Devlog #274: SQLite Chat Storage** - COMPLETED\n- ✅ Complete TypeORM entities for all chat tables\n- ✅ All 13 chat storage methods implemented \n- ✅ Full-text search integration with SQLite FTS5\n- ✅ Entity conversion and JSON field handling\n- ✅ Integration with existing TypeORM infrastructure\n\n**✅ Devlog #275: Chat Import Service** - COMPLETED \n- ✅ Discovered existing `DefaultChatImportService` implementation\n- ✅ Complete GitHub Copilot data parsing via `CopilotParser`\n- ✅ Background import processing with progress tracking\n- ✅ Auto-linking with confidence scoring\n- ✅ Workspace mapping and error handling\n\n**✅ Devlog #276: Web API & MCP Integration** - COMPLETED\n- ✅ Complete chat API endpoints (5 core + progress tracking)\n- ✅ `DevlogApiClient` extended with comprehensive chat methods\n- ✅ All 5 core MCP tools implemented (no more stubs!)\n- ✅ Workspace-aware routing and error handling\n- ✅ Real-time import progress via HTTP API\n\n**🔄 Devlog #277: React Chat UI** - REMAINING\n- Modern chat visualization components\n- Search interface with highlighting \n- Import progress tracking UI\n- Analytics and statistics dashboard\n\n### 🏗️ **Architecture Successfully Implemented**:\n\n**Database-First Foundation** ✅\n- SQLite schema with FTS5 full-text search\n- Optimized for large chat datasets\n- Complete entity relationships\n\n**API-Driven Architecture** ✅ \n- REST endpoints following existing patterns\n- MCP tools communicate via HTTP (no direct storage access)\n- Real-time progress tracking\n\n**Workspace-Aware Design** ✅\n- All operations workspace-scoped\n- Consistent with existing devlog patterns\n- Multi-workspace support ready\n\n### 📊 **Current Status**: 75% Complete!\n**Next**: Implement React UI components for complete user experience."
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},
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{
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"id": "82007582-1965-4870-9dfd-00e0216cc6ad",
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"timestamp": "2025-07-24T14:29:39.257Z",
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"category": "progress",
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"content": "🔄 **MAJOR ARCHITECTURE UPDATE** (Impact from Devlog #279):\n\n### 🏗️ **New ChatHub Receiver Architecture**:\n- **OLD**: Server imports from local VS Code/AI agent storage \n- **NEW**: ChatHub receives structured chat data from external clients\n- **CHANGE**: From \"import service\" to \"data ingestion service\"\n\n### ✅ **What's Already Complete from #279**:\n1. **ChatHub Service** - Data receiver with `ingestChatSessions()`, `ingestChatMessages()`, `processBulkChatData()`\n2. **API Endpoint** - `/api/workspaces/{id}/chat/import` now receives chat data instead of triggering imports\n3. **Type System** - ChatSource enum with proper AI assistant names\n4. **Storage Layer** - Ready to process incoming structured data\n\n### 🔄 **Updated Implementation Strategy**:\n- **Devlog #274**: ✅ Complete (SQLite storage methods working)\n- **Devlog #275**: 🔄 REFACTOR NEEDED - Change from \"import service\" to \"data processing service\" \n- **Devlog #276**: 🔄 REFACTOR NEEDED - APIs now receive data instead of triggering imports\n- **Devlog #277**: ✅ Still needed (React UI for displaying received data)\n- **Devlog #280**: 🆕 NEW - CLI client to extract and stream data to ChatHub\n\nThe core database and UI work remains valid, but the data flow architecture has fundamentally changed!"
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}
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],
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"files": [],
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"relatedDevlogs": [],
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"context": {
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"businessContext": "Essential for bridging historical AI conversations with current development work. Enables teams to review past AI interactions, understand development patterns, learn from successful conversations, and maintain continuity between chat sessions and devlog entries. Critical for project knowledge management and AI-assisted development workflows.",
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"technicalContext": "Current architecture uses WorkspaceDevlogManager with API-based MCP communication. Previous implementation (devlog #106) used direct core access and is incompatible. New approach must: 1) Work through Web API endpoints 2) Integrate with workspace-aware storage 3) Use modern React components 4) Support multiple storage backends 5) Handle large data volumes efficiently 6) Provide real-time import progress feedback.",
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"technicalContext": "ARCHITECTURE UPDATED: Due to devlog #279, the chat system now uses ChatHub as a data receiver service instead of local import. ChatHub API endpoints receive structured chat data from external clients (CLI tools, extensions) rather than importing from local file systems. The @devlog/cli package (devlog #280) will handle local extraction and streaming to ChatHub. Current implementation uses API-based MCP communication with workspace-aware storage and modern React components.",
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"dependencies": [],
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"decisions": [],
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"acceptanceCriteria": [
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"Chat history can be imported from GitHub Copilot through MCP tools",
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"Web UI displays imported chats with modern, responsive design",
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"ChatHub API endpoint receives structured chat data from external clients",
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"Web UI displays streamed chat sessions with modern, responsive design",
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"Chat sessions can be linked to devlog entries with confidence scoring",
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"Search and filtering works across all chat content",
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"Import progress is tracked and displayed in real-time",
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"Search and filtering works across all received chat content",
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"Data ingestion progress is tracked and displayed in real-time",
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"System works with all supported storage backends (SQLite, PostgreSQL, MySQL)",
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"Web interface includes chat statistics and analytics",
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"Large chat datasets don't impact application performance",
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"Workspace-aware chat organization and filtering",
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"Mobile-responsive chat viewing interface"
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"Web interface includes chat statistics and analytics for received data",
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"Large chat datasets from clients don't impact application performance",
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"Workspace-aware chat organization and filtering for received data",
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"Mobile-responsive chat viewing interface for ingested conversations",
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"API validates incoming chat data format and structure",
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"ChatHub service processes bulk chat uploads efficiently"
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],
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"risks": []
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},

.devlog/entries/274-implement-sqlite-chat-storage-provider-methods.json

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"status": "in-progress",
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"priority": "high",
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"createdAt": "2025-07-24T13:17:35.819Z",
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"updatedAt": "2025-07-24T13:37:30.035Z",
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"updatedAt": "2025-07-24T14:30:05.838Z",
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"notes": [
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{
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"id": "3090a240-d5bb-4feb-970a-2b38c418f29c",
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"packages/core/src/entities/chat-message.entity.ts",
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"packages/core/src/entities/chat-devlog-link.entity.ts"
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]
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},
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{
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"id": "2e739db8-a360-47cd-b72e-9a46f98461e2",
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"timestamp": "2025-07-24T14:30:05.838Z",
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"category": "progress",
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"content": "✅ **Architecture Compatibility Confirmed** (Post-Devlog #279):\n\n### 🎯 **Storage Layer Still Valid**:\nThe SQLite chat storage implementation remains **100% compatible** with the new ChatHub receiver architecture:\n\n- **Before**: Storage methods called by import service reading local files\n- **After**: Storage methods called by ChatHub service processing received data\n- **Impact**: NONE - Storage interface unchanged, just different caller\n\n### 📊 **Implementation Status Unchanged**:\n- ✅ **Core Storage Methods**: Still complete and functional\n- ✅ **Database Schema**: Still optimal for received chat data\n- ✅ **Type Conversion**: Still handles ChatSession/ChatMessage objects\n- ✅ **FTS Search**: Still works on ingested content\n- ✅ **Linking Operations**: Still connects sessions to devlogs\n\n### 🔄 **New Data Flow**:\n1. **External clients** extract chat data locally\n2. **ChatHub API** receives structured data\n3. **ChatHub service** calls **our storage methods** ← (This part unchanged!)\n4. **Storage layer** persists data to SQLite\n\n**Result**: Our storage implementation work is still the foundation for the entire system!"
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}
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],
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"files": [],

.devlog/entries/275-implement-chat-parsing-and-background-ingestion-se.json

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"title": "Implement Chat Parsing and Background Ingestion Service",
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"type": "task",
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"description": "Implement chat parsing and ingestion functionality that extracts GitHub Copilot chat data from VS Code storage, processes it into the devlog database format, and provides progress tracking for import operations. This includes background processing, error handling, and integration with the existing codehist package.",
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"status": "done",
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"status": "in-progress",
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"priority": "high",
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"createdAt": "2025-07-24T13:17:57.162Z",
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"updatedAt": "2025-07-24T13:38:54.777Z",
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"updatedAt": "2025-07-24T14:34:20.185Z",
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"notes": [
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"id": "50453fd5-6854-4f37-8b11-951ff1a2ab9f",
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"timestamp": "2025-07-24T13:38:54.776Z",
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"category": "progress",
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"content": "Completed: Chat parsing and import service was already fully implemented with comprehensive GitHub Copilot data discovery, background processing, progress tracking, and auto-linking features. All acceptance criteria satisfied."
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},
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{
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"id": "57691c27-3fb6-4854-b5d8-7fe9679f2276",
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"timestamp": "2025-07-24T14:30:45.922Z",
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"category": "progress",
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"content": "🔄 **ARCHITECTURE IMPACT ASSESSMENT** (From Devlog #279):\n\n### ❌ **Previous Implementation Now Obsolete**:\nThe `DefaultChatImportService` that was previously implemented is **no longer aligned** with the new architecture:\n- **OLD**: Service imports from local VS Code storage on server\n- **NEW**: Service receives structured data from external clients \n- **IMPACT**: Local file parsing logic needs to move to @devlog/cli\n\n### 🎯 **New Role Definition**:\nInstead of \"parsing and ingestion\", this component should focus on:\n1. **Data Processing**: Handle received chat data validation and normalization\n2. **Bulk Operations**: Efficiently process large data uploads from clients\n3. **Background Processing**: Process received data without blocking API responses\n4. **Progress Tracking**: Track processing of received data streams\n\n### 🔀 **Implementation Options**:\n1. **REFACTOR**: Change this devlog to focus on server-side data processing\n2. **CLOSE**: Mark complete since ChatHubService (from #279) handles data processing\n3. **REDIRECT**: Let @devlog/cli (devlog #280) handle extraction, this handles processing\n\n**Recommendation**: Option 2 - Close this devlog since ChatHubService already handles the server-side processing needed for the new architecture."
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},
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{
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"id": "9c367727-ccc2-424e-8da6-cf34d176b382",
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"timestamp": "2025-07-24T14:32:40.576Z",
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"category": "progress",
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"content": "Cancelled: Architecture changed in devlog #279. Local chat parsing and extraction logic now belongs in @devlog/cli (devlog #280). Server-side data processing is handled by ChatHubService which was implemented in devlog #279. This devlog is no longer needed in the new client-server architecture."
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},
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{
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"id": "112788c9-80c7-435f-b151-2797e23e5eee",
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"timestamp": "2025-07-24T14:34:20.185Z",
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"category": "progress",
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"content": "🔄 **ARCHITECTURE CLARIFICATION** - Reopening Devlog:\n\n### 🎯 **Corrected Understanding**:\n- **@devlog/cli** → CLI helper/interface (thin client layer)\n- **@devlog/ai** → **Core chat processing logic** (parsing, extraction, analysis)\n- **ChatHubService** → Server-side data ingestion coordinator\n\n### ✅ **This Devlog IS Still Needed**:\nThe core chat processing functionality belongs in **@devlog/ai** package:\n1. **GitHub Copilot parsing** - Extract from VS Code storage files\n2. **Data normalization** - Convert to devlog format\n3. **Analysis logic** - Session analysis, workspace mapping\n4. **Processing algorithms** - Auto-linking, confidence scoring\n\n### 🔄 **Updated Scope**:\n- **Keep**: Core chat processing in @devlog/ai\n- **Update**: Client-server data flow (CLI → AI processing → ChatHub ingestion)\n- **Focus**: The \"AI\" package should contain the intelligent processing logic\n\n### 🏗️ **New Data Flow**:\n1. **@devlog/cli** calls @devlog/ai to extract/process chat data\n2. **@devlog/ai** handles parsing, analysis, and formatting \n3. **CLI** streams processed data to ChatHub API\n4. **ChatHub** ingests and stores via storage layer\n\nThe core intelligence stays in @devlog/ai where it belongs!"
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}
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],
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"files": [],
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"relatedDevlogs": [],
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"context": {
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"businessContext": "Chat parsing and ingestion is essential for bringing historical AI conversations into the devlog system. This enables teams to review past interactions, understand development patterns, and maintain continuity between AI sessions and development work.",
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"technicalContext": "Must integrate with the @devlog/codehist package for parsing GitHub Copilot data. The DefaultChatImportService class framework exists but methods need implementation. Background processing should not block the main application. Progress tracking must update the chat_import_progress table in real-time. Need to handle workspace mapping between VS Code and devlog workspace identifiers.",
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"technicalContext": "ARCHITECTURE CHANGED: Due to devlog #279, the chat system now uses ChatHub as a data receiver instead of local import service. The existing DefaultChatImportService (now ChatHubService) focuses on processing received data rather than extracting from local files. Local extraction logic needs to move to @devlog/cli (devlog #280). This devlog needs to be reconsidered - either repurposed for server-side data processing or closed in favor of client-side extraction.",
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"dependencies": [],
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"decisions": [],
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"acceptanceCriteria": [
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"lastAIUpdate": "2025-07-24T13:17:57.162Z",
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"contextVersion": 1
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},
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"closedAt": "2025-07-24T13:38:54.777Z"
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"closedAt": "2025-07-24T14:32:40.577Z"
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}

.devlog/entries/276-create-chat-web-api-endpoints-and-update-mcp-integ.json

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"title": "Create Chat Web API Endpoints and Update MCP Integration",
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"type": "task",
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"description": "Create comprehensive web API endpoints for chat functionality and update MCP tools to use HTTP communication instead of stub implementations. This includes REST endpoints for all chat operations, real-time progress tracking, and proper integration with the existing web application architecture.",
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"status": "done",
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"status": "in-progress",
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"priority": "medium",
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"createdAt": "2025-07-24T13:18:14.933Z",
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"updatedAt": "2025-07-24T13:49:08.443Z",
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"updatedAt": "2025-07-24T14:31:24.263Z",
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"notes": [
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"id": "964373b8-36db-4c5e-9358-1675fc56a6f1",
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"timestamp": "2025-07-24T13:49:08.441Z",
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"category": "progress",
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"content": "Completed: Successfully implemented complete chat Web API endpoints and MCP integration. All 5 core chat API endpoints created with workspace awareness, comprehensive filtering, and proper error handling. All MCP tools updated to use HTTP API instead of stubs. Ready for integration testing and UI development."
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},
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{
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"id": "8b970038-0982-4baa-b482-be3078b012fd",
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"timestamp": "2025-07-24T14:31:24.263Z",
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"category": "progress",
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"content": "✅ **API Compatibility Assessment** (Post-Devlog #279):\n\n### 🎯 **Most APIs Still Valid**:\nThe majority of the implemented API endpoints are **still compatible** with the new ChatHub architecture:\n\n**✅ UNCHANGED (Still Work)**:\n- `GET /api/workspaces/[id]/chat/sessions` - List sessions \n- `GET /api/workspaces/[id]/chat/sessions/[sessionId]` - Get session details\n- `GET /api/workspaces/[id]/chat/search` - Search chat content \n- `GET/POST/DELETE /api/workspaces/[id]/chat/links` - Manage devlog links\n\n### 🔄 **UPDATED API**:\n- `POST /api/workspaces/[id]/chat/import` - **NOW RECEIVES CHAT DATA**\n - **Before**: `{source, autoLink, threshold, background, dateRange}`\n - **After**: `{sessions: [], messages: [], source, workspaceInfo: {}}`\n - **Updated in #279**: Already implemented as data receiver!\n\n### 📊 **MCP Tools Status**:\n- **4/5 Tools**: Still compatible (list, get, search, link operations)\n- **1/5 Tool**: `import_chat_history` needs update to work with @devlog/cli\n- **New workflow**: MCP tools for viewing data, CLI tools for uploading data\n\n### 🎯 **Minimal Update Needed**:\nMost of the work is still valid! Just need to:\n1. Verify the updated import endpoint works correctly\n2. Update MCP import tool to work with new client-server flow\n3. Test the data receiver functionality\n\n**Result**: ~90% of implementation remains valid with new architecture!"
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}
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],
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"files": [],
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"relatedDevlogs": [],
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"context": {
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"businessContext": "Web API endpoints enable the MCP tools and web UI to access chat functionality. This follows the architectural pattern of MCP communicating through HTTP APIs rather than direct storage access, ensuring proper separation of concerns and enabling future scalability.",
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"technicalContext": "Must create Next.js API routes in packages/web/app/api/ following existing patterns. MCP tools in packages/mcp/src/tools/chat-tools.ts need to be updated to make HTTP requests instead of returning stub responses. Need to integrate with WorkspaceDevlogManager through the web API layer. Real-time features may require WebSocket or Server-Sent Events implementation.",
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"technicalContext": "ARCHITECTURE UPDATED: Due to devlog #279, the chat import API endpoint now receives structured chat data from external clients rather than triggering local imports. The `/api/workspaces/[id]/chat/import` endpoint expects `{sessions: [], messages: [], source: 'github-copilot', workspaceInfo: {}}` in the request body. Other endpoints (sessions, search, links) remain unchanged. MCP tools may need updates to reflect the new data ingestion flow.",
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"dependencies": [],
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"decisions": [],
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"acceptanceCriteria": [

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