Mike Swanson
6c316aa701
Created comprehensive VPN setup tooling for Peaceful Spirit L2TP/IPsec connection and enhanced agent documentation framework. VPN Configuration (PST-NW-VPN): - Setup-PST-L2TP-VPN.ps1: Automated L2TP/IPsec setup with split-tunnel and DNS - Connect-PST-VPN.ps1: Connection helper with PPP adapter detection, DNS (192.168.0.2), and route config (192.168.0.0/24) - Connect-PST-VPN-Standalone.ps1: Self-contained connection script for remote deployment - Fix-PST-VPN-Auth.ps1: Authentication troubleshooting for CHAP/MSChapv2 - Diagnose-VPN-Interface.ps1: Comprehensive VPN interface and routing diagnostic - Quick-Test-VPN.ps1: Fast connectivity verification (DNS/router/routes) - Add-PST-VPN-Route-Manual.ps1: Manual route configuration helper - vpn-connect.bat, vpn-disconnect.bat: Simple batch file shortcuts - OpenVPN config files (Windows-compatible, abandoned for L2TP) Key VPN Implementation Details: - L2TP creates PPP adapter with connection name as interface description - UniFi auto-configures DNS (192.168.0.2) but requires manual route to 192.168.0.0/24 - Split-tunnel enabled (only remote traffic through VPN) - All-user connection for pre-login auto-connect via scheduled task - Authentication: CHAP + MSChapv2 for UniFi compatibility Agent Documentation: - AGENT_QUICK_REFERENCE.md: Quick reference for all specialized agents - documentation-squire.md: Documentation and task management specialist agent - Updated all agent markdown files with standardized formatting Project Organization: - Moved conversation logs to dedicated directories (guru-connect-conversation-logs, guru-rmm-conversation-logs) - Cleaned up old session JSONL files from projects/msp-tools/ - Added guru-connect infrastructure (agent, dashboard, proto, scripts, .gitea workflows) - Added guru-rmm server components and deployment configs Technical Notes: - VPN IP pool: 192.168.4.x (client gets 192.168.4.6) - Remote network: 192.168.0.0/24 (router at 192.168.0.10) - PSK: rrClvnmUeXEFo90Ol+z7tfsAZHeSK6w7 - Credentials: pst-admin / 24Hearts$ Files: 15 VPN scripts, 2 agent docs, conversation log reorganization, guru-connect/guru-rmm infrastructure additions Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
47 lines
217 KiB
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47 lines
217 KiB
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{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","type":"user","message":{"role":"user","content":"# Performance Optimizations Ideation Agent\n\nYou are a senior performance engineer. Your task is to analyze a codebase and identify performance bottlenecks, optimization opportunities, and efficiency improvements.\n\n## Context\n\nYou have access to:\n- Project index with file structure and dependencies\n- Source code for analysis\n- Package manifest with bundle dependencies\n- Database schemas and queries (if applicable)\n- Build configuration files\n- Memory context from previous sessions (if available)\n- Graph hints from Graphiti knowledge graph (if available)\n\n### Graph Hints Integration\n\nIf `graph_hints.json` exists and contains hints for your ideation type (`performance_optimizations`), use them to:\n1. **Avoid duplicates**: Don't suggest optimizations that have already been implemented\n2. **Build on success**: Prioritize optimization patterns that worked well in the past\n3. **Learn from failures**: Avoid optimizations that previously caused regressions\n4. **Leverage context**: Use historical profiling knowledge to identify high-impact areas\n\n## Your Mission\n\nIdentify performance opportunities across these categories:\n\n### 1. Bundle Size\n- Large dependencies that could be replaced\n- Unused exports and dead code\n- Missing tree-shaking opportunities\n- Duplicate dependencies\n- Client-side code that should be server-side\n- Unoptimized assets (images, fonts)\n\n### 2. Runtime Performance\n- Inefficient algorithms (O(n²) when O(n) possible)\n- Unnecessary computations in hot paths\n- Blocking operations on main thread\n- Missing memoization opportunities\n- Expensive regular expressions\n- Synchronous I/O operations\n\n### 3. Memory Usage\n- Memory leaks (event listeners, closures, timers)\n- Unbounded caches or collections\n- Large object retention\n- Missing cleanup in components\n- Inefficient data structures\n\n### 4. Database Performance\n- N+1 query problems\n- Missing indexes\n- Unoptimized queries\n- Over-fetching data\n- Missing query result limits\n- Inefficient joins\n\n### 5. Network Optimization\n- Missing request caching\n- Unnecessary API calls\n- Large payload sizes\n- Missing compression\n- Sequential requests that could be parallel\n- Missing prefetching\n\n### 6. Rendering Performance\n- Unnecessary re-renders\n- Missing React.memo / useMemo / useCallback\n- Large component trees\n- Missing virtualization for lists\n- Layout thrashing\n- Expensive CSS selectors\n\n### 7. Caching Opportunities\n- Repeated expensive computations\n- Cacheable API responses\n- Static asset caching\n- Build-time computation opportunities\n- Missing CDN usage\n\n## Analysis Process\n\n1. **Bundle Analysis**\n - Analyze package.json dependencies\n - Check for alternative lighter packages\n - Identify import patterns\n\n2. **Code Complexity**\n - Find nested loops and recursion\n - Identify hot paths (frequently called code)\n - Check algorithmic complexity\n\n3. **React/Component Analysis**\n - Find render patterns\n - Check prop drilling depth\n - Identify missing optimizations\n\n4. **Database Queries**\n - Analyze query patterns\n - Check for N+1 issues\n - Review index usage\n\n5. **Network Patterns**\n - Check API call patterns\n - Review payload sizes\n - Identify caching opportunities\n\n## Output Format\n\nWrite your findings to `{output_dir}/performance_optimizations_ideas.json`:\n\n```json\n{\n \"performance_optimizations\": [\n {\n \"id\": \"perf-001\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Replace moment.js with date-fns for 90% bundle reduction\",\n \"description\": \"The project uses moment.js (300KB) for simple date formatting. date-fns is tree-shakeable and would reduce the date utility footprint to ~30KB.\",\n \"rationale\": \"moment.js is the largest dependency in the bundle and only 3 functions are used: format(), add(), and diff(). This is low-hanging fruit for bundle size reduction.\",\n \"category\": \"bundle_size\",\n \"impact\": \"high\",\n \"affectedAreas\": [\"src/utils/date.ts\", \"src/components/Calendar.tsx\", \"package.json\"],\n \"currentMetric\": \"Bundle includes 300KB for moment.js\",\n \"expectedImprovement\": \"~270KB reduction in bundle size, ~20% faster initial load\",\n \"implementation\": \"1. Install date-fns\\n2. Replace moment imports with date-fns equivalents\\n3. Update format strings to date-fns syntax\\n4. Remove moment.js dependency\",\n \"tradeoffs\": \"date-fns format strings differ from moment.js, requiring updates\",\n \"estimatedEffort\": \"small\"\n }\n ],\n \"metadata\": {\n \"totalBundleSize\": \"2.4MB\",\n \"largestDependencies\": [\"react-dom\", \"moment\", \"lodash\"],\n \"filesAnalyzed\": 145,\n \"potentialSavings\": \"~400KB\",\n \"generatedAt\": \"2024-12-11T10:00:00Z\"\n }\n}\n```\n\n## Impact Classification\n\n| Impact | Description | User Experience |\n|--------|-------------|-----------------|\n| high | Major improvement visible to users | Significantly faster load/interaction |\n| medium | Noticeable improvement | Moderately improved responsiveness |\n| low | Minor improvement | Subtle improvements, developer benefit |\n\n## Common Anti-Patterns\n\n### Bundle Size\n```javascript\n// BAD: Importing entire library\nimport _ from 'lodash';\n_.map(arr, fn);\n\n// GOOD: Import only what's needed\nimport map from 'lodash/map';\nmap(arr, fn);\n```\n\n### Runtime Performance\n```javascript\n// BAD: O(n²) when O(n) is possible\nusers.forEach(user => {\n const match = allPosts.find(p => p.userId === user.id);\n});\n\n// GOOD: O(n) with map lookup\nconst postsByUser = new Map(allPosts.map(p => [p.userId, p]));\nusers.forEach(user => {\n const match = postsByUser.get(user.id);\n});\n```\n\n### React Rendering\n```jsx\n// BAD: New function on every render\n<Button onClick={() => handleClick(id)} />\n\n// GOOD: Memoized callback\nconst handleButtonClick = useCallback(() => handleClick(id), [id]);\n<Button onClick={handleButtonClick} />\n```\n\n### Database Queries\n```sql\n-- BAD: N+1 query pattern\nSELECT * FROM users;\n-- Then for each user:\nSELECT * FROM posts WHERE user_id = ?;\n\n-- GOOD: Single query with JOIN\nSELECT u.*, p.* FROM users u\nLEFT JOIN posts p ON p.user_id = u.id;\n```\n\n## Effort Classification\n\n| Effort | Time | Complexity |\n|--------|------|------------|\n| trivial | < 1 hour | Config change, simple replacement |\n| small | 1-4 hours | Single file, straightforward refactor |\n| medium | 4-16 hours | Multiple files, some complexity |\n| large | 1-3 days | Architectural change, significant refactor |\n\n## Guidelines\n\n- **Measure First**: Suggest profiling before and after when possible\n- **Quantify Impact**: Include expected improvements (%, ms, KB)\n- **Consider Tradeoffs**: Note any downsides (complexity, maintenance)\n- **Prioritize User Impact**: Focus on user-facing performance\n- **Avoid Premature Optimization**: Don't suggest micro-optimizations\n\n## Categories Explained\n\n| Category | Focus | Tools |\n|----------|-------|-------|\n| bundle_size | JavaScript/CSS payload | webpack-bundle-analyzer |\n| runtime | Execution speed | Chrome DevTools, profilers |\n| memory | RAM usage | Memory profilers, heap snapshots |\n| database | Query efficiency | EXPLAIN, query analyzers |\n| network | HTTP performance | Network tab, Lighthouse |\n| rendering | Paint/layout | React DevTools, Performance tab |\n| caching | Data reuse | Cache-Control, service workers |\n\n## Performance Budget Considerations\n\nSuggest improvements that help meet common performance budgets:\n- Time to Interactive: < 3.8s\n- First Contentful Paint: < 1.8s\n- Largest Contentful Paint: < 2.5s\n- Total Blocking Time: < 200ms\n- Bundle size: < 200KB gzipped (initial)\n\nRemember: Performance optimization should be data-driven. The best optimizations are those that measurably improve user experience without adding maintenance burden.\n\n\n---\n\n**Output Directory**: C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\.auto-claude\\ideation\n**Project Directory**: C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\n**Max Ideas**: 5\n\n\n**Ideation Context**: C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\.auto-claude\\ideation\\ideation_context.json\n**Project Index**: C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\.auto-claude\\ideation\\project_index.json\n**Output File**: C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\.auto-claude\\ideation\\performance_optimizations_ideas.json\n**Max Ideas**: 5\n\nGenerate up to 5 Performance Optimizations ideas.\nAvoid duplicating features that are already planned (see ideation_context.json).\nOutput your ideas to performance_optimizations_ideas.json.\n\n"},"uuid":"dd27763b-a748-4fab-a432-90acb4cee072","timestamp":"2026-01-11T22:33:22.614Z"}
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{"parentUuid":"67302ca9-6bca-4dad-a99e-bd5748f004c7","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018Eb5TfSdNvjQCbDPL9oEfB","type":"tool_result","content":" 1→{\n 2→ \"existing_features\": [],\n 3→ \"tech_stack\": [],\n 4→ \"target_audience\": null,\n 5→ \"planned_features\": [],\n 6→ \"graph_hints\": {},\n 7→ \"config\": {\n 8→ \"enabled_types\": [\n 9→ \"code_improvements\",\n 10→ \"ui_ux_improvements\",\n 11→ \"security_hardening\",\n 12→ \"documentation_gaps\",\n 13→ \"performance_optimizations\",\n 14→ \"code_quality\"\n 15→ ],\n 16→ \"include_roadmap_context\": true,\n 17→ \"include_kanban_context\": true,\n 18→ \"max_ideas_per_type\": 5\n 19→ },\n 20→ \"created_at\": \"2026-01-11T15:32:38.355636\"\n 21→}\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"e8bf506d-49d0-4647-9ee9-6efaa2d81d4b","timestamp":"2026-01-11T22:35:58.248Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\.auto-claude\\ideation\\ideation_context.json","content":"{\n \"existing_features\": [],\n \"tech_stack\": [],\n \"target_audience\": null,\n \"planned_features\": [],\n \"graph_hints\": {},\n \"config\": {\n \"enabled_types\": [\n \"code_improvements\",\n \"ui_ux_improvements\",\n \"security_hardening\",\n \"documentation_gaps\",\n \"performance_optimizations\",\n \"code_quality\"\n ],\n \"include_roadmap_context\": true,\n \"include_kanban_context\": true,\n \"max_ideas_per_type\": 5\n },\n \"created_at\": \"2026-01-11T15:32:38.355636\"\n}","numLines":21,"startLine":1,"totalLines":21}},"sourceToolAssistantUUID":"67302ca9-6bca-4dad-a99e-bd5748f004c7"}
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{"parentUuid":"a154e28b-ac59-4f33-ba31-b7a09b21d1a0","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011bzAFNTdd4tE5Ck99prTEZ","type":"tool_result","content":" 1→{\n 2→ \"project_root\": \"C:\\\\Users\\\\MikeSwanson\\\\claude-projects\\\\guru-connect\",\n 3→ \"project_type\": \"monorepo\",\n 4→ \"services\": {\n 5→ \"agent\": {\n 6→ \"name\": \"agent\",\n 7→ \"path\": \"C:\\\\Users\\\\MikeSwanson\\\\claude-projects\\\\guru-connect\\\\agent\",\n 8→ \"language\": \"Rust\",\n 9→ \"framework\": null,\n 10→ \"type\": \"unknown\",\n 11→ \"package_manager\": \"cargo\",\n 12→ \"key_directories\": {\n 13→ \"src\": {\n 14→ \"path\": \"src\",\n 15→ \"purpose\": \"Source code\"\n 16→ }\n 17→ },\n 18→ \"entry_point\": \"src/main.rs\"\n 19→ },\n 20→ \"dashboard\": {\n 21→ \"name\": \"dashboard\",\n 22→ \"path\": \"C:\\\\Users\\\\MikeSwanson\\\\claude-projects\\\\guru-connect\\\\dashboard\",\n 23→ \"language\": \"TypeScript\",\n 24→ \"framework\": \"React\",\n 25→ \"type\": \"frontend\",\n 26→ \"package_manager\": \"npm\",\n 27→ \"default_port\": 3000,\n 28→ \"build_tool\": \"Vite\",\n 29→ \"styling\": \"Tailwind CSS\",\n 30→ \"dev_command\": \"npm run dev\",\n 31→ \"key_directories\": {\n 32→ \"src\": {\n 33→ \"path\": \"src\",\n 34→ \"purpose\": \"Source code\"\n 35→ }\n 36→ },\n 37→ \"entry_point\": \"src/App.tsx\",\n 38→ \"dependencies\": [\n 39→ \"@tanstack/react-query\",\n 40→ \"axios\",\n 41→ \"clsx\",\n 42→ \"fzstd\",\n 43→ \"lucide-react\",\n 44→ \"react\",\n 45→ \"react-dom\",\n 46→ \"react-router-dom\",\n 47→ \"tailwind-merge\"\n 48→ ],\n 49→ \"dev_dependencies\": [\n 50→ \"@eslint/js\",\n 51→ \"@tailwindcss/vite\",\n 52→ \"@types/node\",\n 53→ \"@types/react\",\n 54→ \"@types/react-dom\",\n 55→ \"@vitejs/plugin-react\",\n 56→ \"autoprefixer\",\n 57→ \"eslint\",\n 58→ \"eslint-plugin-react-hooks\",\n 59→ \"eslint-plugin-react-refresh\"\n 60→ ],\n 61→ \"consumes\": [\n 62→ \"server.api\"\n 63→ ]\n 64→ },\n 65→ \"server\": {\n 66→ \"name\": \"server\",\n 67→ \"path\": \"C:\\\\Users\\\\MikeSwanson\\\\claude-projects\\\\guru-connect\\\\server\",\n 68→ \"language\": \"Rust\",\n 69→ \"framework\": \"Axum\",\n 70→ \"type\": \"backend\",\n 71→ \"package_manager\": \"cargo\",\n 72→ \"default_port\": 3000,\n 73→ \"key_directories\": {\n 74→ \"src\": {\n 75→ \"path\": \"src\",\n 76→ \"purpose\": \"Source code\"\n 77→ }\n 78→ },\n 79→ \"entry_point\": \"src/main.rs\",\n 80→ \"api\": {\n 81→ \"routes\": [\n 82→ {\n 83→ \"path\": \"/health\",\n 84→ \"methods\": [\n 85→ \"GET\"\n 86→ ],\n 87→ \"file\": \"src\\\\main.rs\",\n 88→ \"framework\": \"Rust\",\n 89→ \"requires_auth\": false\n 90→ },\n 91→ {\n 92→ \"path\": \"/ws/agent\",\n 93→ \"methods\": [\n 94→ \"GET\"\n 95→ ],\n 96→ \"file\": \"src\\\\main.rs\",\n 97→ \"framework\": \"Rust\",\n 98→ \"requires_auth\": false\n 99→ },\n 100→ {\n 101→ \"path\": \"/ws/viewer\",\n 102→ \"methods\": [\n 103→ \"GET\"\n 104→ ],\n 105→ \"file\": \"src\\\\main.rs\",\n 106→ \"framework\": \"Rust\",\n 107→ \"requires_auth\": false\n 108→ },\n 109→ {\n 110→ \"path\": \"/api/sessions\",\n 111→ \"methods\": [\n 112→ \"GET\"\n 113→ ],\n 114→ \"file\": \"src\\\\main.rs\",\n 115→ \"framework\": \"Rust\",\n 116→ \"requires_auth\": false\n 117→ },\n 118→ {\n 119→ \"path\": \"/api/sessions/:id\",\n 120→ \"methods\": [\n 121→ \"GET\"\n 122→ ],\n 123→ \"file\": \"src\\\\main.rs\",\n 124→ \"framework\": \"Rust\",\n 125→ \"requires_auth\": false\n 126→ }\n 127→ ],\n 128→ \"total_routes\": 5,\n 129→ \"methods\": [\n 130→ \"GET\"\n 131→ ],\n 132→ \"protected_routes\": []\n 133→ },\n 134→ \"monitoring\": {\n 135→ \"health_checks\": [\n 136→ \"/health\"\n 137→ ]\n 138→ }\n 139→ }\n 140→ },\n 141→ \"infrastructure\": {},\n 142→ \"conventions\": {}\n 143→}\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"2a1fe67a-8c6e-4119-85d4-a1d05260f028","timestamp":"2026-01-11T22:35:58.249Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\.auto-claude\\ideation\\project_index.json","content":"{\n \"project_root\": \"C:\\\\Users\\\\MikeSwanson\\\\claude-projects\\\\guru-connect\",\n \"project_type\": \"monorepo\",\n \"services\": {\n \"agent\": {\n \"name\": \"agent\",\n \"path\": \"C:\\\\Users\\\\MikeSwanson\\\\claude-projects\\\\guru-connect\\\\agent\",\n \"language\": \"Rust\",\n \"framework\": null,\n \"type\": \"unknown\",\n \"package_manager\": \"cargo\",\n \"key_directories\": {\n \"src\": {\n \"path\": \"src\",\n \"purpose\": \"Source code\"\n }\n },\n \"entry_point\": \"src/main.rs\"\n },\n \"dashboard\": {\n \"name\": \"dashboard\",\n \"path\": \"C:\\\\Users\\\\MikeSwanson\\\\claude-projects\\\\guru-connect\\\\dashboard\",\n \"language\": \"TypeScript\",\n \"framework\": \"React\",\n \"type\": \"frontend\",\n \"package_manager\": \"npm\",\n \"default_port\": 3000,\n \"build_tool\": \"Vite\",\n \"styling\": \"Tailwind CSS\",\n \"dev_command\": \"npm run dev\",\n \"key_directories\": {\n \"src\": {\n \"path\": \"src\",\n \"purpose\": \"Source code\"\n }\n },\n \"entry_point\": \"src/App.tsx\",\n \"dependencies\": [\n \"@tanstack/react-query\",\n \"axios\",\n \"clsx\",\n \"fzstd\",\n \"lucide-react\",\n \"react\",\n \"react-dom\",\n \"react-router-dom\",\n \"tailwind-merge\"\n ],\n \"dev_dependencies\": [\n \"@eslint/js\",\n \"@tailwindcss/vite\",\n \"@types/node\",\n \"@types/react\",\n \"@types/react-dom\",\n \"@vitejs/plugin-react\",\n \"autoprefixer\",\n \"eslint\",\n \"eslint-plugin-react-hooks\",\n \"eslint-plugin-react-refresh\"\n ],\n \"consumes\": [\n \"server.api\"\n ]\n },\n \"server\": {\n \"name\": \"server\",\n \"path\": \"C:\\\\Users\\\\MikeSwanson\\\\claude-projects\\\\guru-connect\\\\server\",\n \"language\": \"Rust\",\n \"framework\": \"Axum\",\n \"type\": \"backend\",\n \"package_manager\": \"cargo\",\n \"default_port\": 3000,\n \"key_directories\": {\n \"src\": {\n \"path\": \"src\",\n \"purpose\": \"Source code\"\n }\n },\n \"entry_point\": \"src/main.rs\",\n \"api\": {\n \"routes\": [\n {\n \"path\": \"/health\",\n \"methods\": [\n \"GET\"\n ],\n \"file\": \"src\\\\main.rs\",\n \"framework\": \"Rust\",\n \"requires_auth\": false\n },\n {\n \"path\": \"/ws/agent\",\n \"methods\": [\n \"GET\"\n ],\n \"file\": \"src\\\\main.rs\",\n \"framework\": \"Rust\",\n \"requires_auth\": false\n },\n {\n \"path\": \"/ws/viewer\",\n \"methods\": [\n \"GET\"\n ],\n \"file\": \"src\\\\main.rs\",\n \"framework\": \"Rust\",\n \"requires_auth\": false\n },\n {\n \"path\": \"/api/sessions\",\n \"methods\": [\n \"GET\"\n ],\n \"file\": \"src\\\\main.rs\",\n \"framework\": \"Rust\",\n \"requires_auth\": false\n },\n {\n \"path\": \"/api/sessions/:id\",\n \"methods\": [\n \"GET\"\n ],\n \"file\": \"src\\\\main.rs\",\n \"framework\": \"Rust\",\n \"requires_auth\": false\n }\n ],\n \"total_routes\": 5,\n \"methods\": [\n \"GET\"\n ],\n \"protected_routes\": []\n },\n \"monitoring\": {\n \"health_checks\": [\n \"/health\"\n ]\n }\n }\n },\n \"infrastructure\": {},\n \"conventions\": {}\n}","numLines":143,"startLine":1,"totalLines":143}},"sourceToolAssistantUUID":"a154e28b-ac59-4f33-ba31-b7a09b21d1a0"}
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{"parentUuid":"fd19e56b-9448-4d46-b226-30d7825720e0","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01WJj5kJoZ5qcA5cmXGBZaBS","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I have a good view of the project structure. Let me read the key source files to analyze for performance opportunities:\n\n1. Agent code (screen capture, encoding, transport)\n2. Server code (relay, sessions)\n3. Dashboard code (React frontend)\n4. Cargo.toml files for dependencies\n\nLet me read the main source files to find performance bottlenecks.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4077,"cache_read_input_tokens":19533,"cache_creation":{"ephemeral_5m_input_tokens":4077,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX2PZ2Fj27a24ThRHnsue","type":"assistant","uuid":"8e95983a-6e5c-46c3-8754-415eb5732710","timestamp":"2026-01-11T22:36:08.337Z"}
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{"parentUuid":"8e95983a-6e5c-46c3-8754-415eb5732710","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01WJj5kJoZ5qcA5cmXGBZaBS","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the key source files for performance analysis:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4077,"cache_read_input_tokens":19533,"cache_creation":{"ephemeral_5m_input_tokens":4077,"ephemeral_1h_input_tokens":0},"output_tokens":433,"service_tier":"standard"}},"requestId":"req_011CX2PZ2Fj27a24ThRHnsue","type":"assistant","uuid":"17959995-9edc-419f-bcd7-19a9dad09afa","timestamp":"2026-01-11T22:36:09.673Z"}
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{"parentUuid":"0b0b5f5c-9c59-459d-95e1-1371e52807d4","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01WJj5kJoZ5qcA5cmXGBZaBS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DXdEpZpBjqWm8agFCExdcx","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\agent\\Cargo.toml"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4077,"cache_read_input_tokens":19533,"cache_creation":{"ephemeral_5m_input_tokens":4077,"ephemeral_1h_input_tokens":0},"output_tokens":433,"service_tier":"standard"}},"requestId":"req_011CX2PZ2Fj27a24ThRHnsue","type":"assistant","uuid":"0f6ab348-394c-4f58-9a8e-851ad2608912","timestamp":"2026-01-11T22:36:15.212Z"}
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{"parentUuid":"0f6ab348-394c-4f58-9a8e-851ad2608912","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01WJj5kJoZ5qcA5cmXGBZaBS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BJfbFNyaUoafCDVRBURkAT","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\server\\Cargo.toml"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4077,"cache_read_input_tokens":19533,"cache_creation":{"ephemeral_5m_input_tokens":4077,"ephemeral_1h_input_tokens":0},"output_tokens":433,"service_tier":"standard"}},"requestId":"req_011CX2PZ2Fj27a24ThRHnsue","type":"assistant","uuid":"527e77f3-e94b-4b9d-ac7b-c9e92f191e88","timestamp":"2026-01-11T22:36:16.433Z"}
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{"parentUuid":"5846e973-bf60-4a41-8a92-430011340f73","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JyTGRRfiF6kVxFL2dUUNKW","type":"tool_result","content":" 1→//! DXGI Desktop Duplication screen capture\n 2→//!\n 3→//! Uses the Windows Desktop Duplication API (available on Windows 8+) for\n 4→//! high-performance, low-latency screen capture with hardware acceleration.\n 5→//!\n 6→//! Reference: RustDesk's scrap library implementation\n 7→\n 8→use super::{CapturedFrame, Capturer, DirtyRect, Display};\n 9→use anyhow::{Context, Result};\n 10→use std::ptr;\n 11→use std::time::Instant;\n 12→\n 13→use windows::Win32::Graphics::Direct3D::D3D_DRIVER_TYPE_UNKNOWN;\n 14→use windows::Win32::Graphics::Direct3D11::{\n 15→ D3D11CreateDevice, ID3D11Device, ID3D11DeviceContext, ID3D11Texture2D,\n 16→ D3D11_CPU_ACCESS_READ, D3D11_SDK_VERSION, D3D11_TEXTURE2D_DESC,\n 17→ D3D11_USAGE_STAGING, D3D11_MAPPED_SUBRESOURCE, D3D11_MAP_READ,\n 18→};\n 19→use windows::Win32::Graphics::Dxgi::{\n 20→ CreateDXGIFactory1, IDXGIAdapter1, IDXGIFactory1, IDXGIOutput, IDXGIOutput1,\n 21→ IDXGIOutputDuplication, IDXGIResource, DXGI_ERROR_ACCESS_LOST,\n 22→ DXGI_ERROR_WAIT_TIMEOUT, DXGI_OUTDUPL_DESC, DXGI_OUTDUPL_FRAME_INFO,\n 23→ DXGI_RESOURCE_PRIORITY_MAXIMUM,\n 24→};\n 25→use windows::core::Interface;\n 26→\n 27→/// DXGI Desktop Duplication capturer\n 28→pub struct DxgiCapturer {\n 29→ display: Display,\n 30→ device: ID3D11Device,\n 31→ context: ID3D11DeviceContext,\n 32→ duplication: IDXGIOutputDuplication,\n 33→ staging_texture: Option<ID3D11Texture2D>,\n 34→ width: u32,\n 35→ height: u32,\n 36→ last_frame: Option<Vec<u8>>,\n 37→}\n 38→\n 39→impl DxgiCapturer {\n 40→ /// Create a new DXGI capturer for the specified display\n 41→ pub fn new(display: Display) -> Result<Self> {\n 42→ let (device, context, duplication, desc) = Self::create_duplication(&display)?;\n 43→\n 44→ Ok(Self {\n 45→ display,\n 46→ device,\n 47→ context,\n 48→ duplication,\n 49→ staging_texture: None,\n 50→ width: desc.ModeDesc.Width,\n 51→ height: desc.ModeDesc.Height,\n 52→ last_frame: None,\n 53→ })\n 54→ }\n 55→\n 56→ /// Create D3D device and output duplication\n 57→ fn create_duplication(\n 58→ display_info: &Display,\n 59→ ) -> Result<(ID3D11Device, ID3D11DeviceContext, IDXGIOutputDuplication, DXGI_OUTDUPL_DESC)> {\n 60→ unsafe {\n 61→ // Create DXGI factory\n 62→ let factory: IDXGIFactory1 = CreateDXGIFactory1()\n 63→ .context(\"Failed to create DXGI factory\")?;\n 64→\n 65→ // Find the adapter and output for this display\n 66→ let (adapter, output) = Self::find_adapter_output(&factory, display_info)?;\n 67→\n 68→ // Create D3D11 device\n 69→ let mut device: Option<ID3D11Device> = None;\n 70→ let mut context: Option<ID3D11DeviceContext> = None;\n 71→\n 72→ D3D11CreateDevice(\n 73→ &adapter,\n 74→ D3D_DRIVER_TYPE_UNKNOWN,\n 75→ None,\n 76→ Default::default(),\n 77→ None,\n 78→ D3D11_SDK_VERSION,\n 79→ Some(&mut device),\n 80→ None,\n 81→ Some(&mut context),\n 82→ )\n 83→ .context(\"Failed to create D3D11 device\")?;\n 84→\n 85→ let device = device.context(\"D3D11 device is None\")?;\n 86→ let context = context.context(\"D3D11 context is None\")?;\n 87→\n 88→ // Get IDXGIOutput1 interface\n 89→ let output1: IDXGIOutput1 = output.cast()\n 90→ .context(\"Failed to get IDXGIOutput1 interface\")?;\n 91→\n 92→ // Create output duplication\n 93→ let duplication = output1.DuplicateOutput(&device)\n 94→ .context(\"Failed to create output duplication\")?;\n 95→\n 96→ // Get duplication description\n 97→ let desc = duplication.GetDesc();\n 98→\n 99→ tracing::info!(\n 100→ \"Created DXGI duplication: {}x{}, display: {}\",\n 101→ desc.ModeDesc.Width,\n 102→ desc.ModeDesc.Height,\n 103→ display_info.name\n 104→ );\n 105→\n 106→ Ok((device, context, duplication, desc))\n 107→ }\n 108→ }\n 109→\n 110→ /// Find the adapter and output for the specified display\n 111→ fn find_adapter_output(\n 112→ factory: &IDXGIFactory1,\n 113→ display: &Display,\n 114→ ) -> Result<(IDXGIAdapter1, IDXGIOutput)> {\n 115→ unsafe {\n 116→ let mut adapter_idx = 0u32;\n 117→\n 118→ loop {\n 119→ // Enumerate adapters\n 120→ let adapter: IDXGIAdapter1 = match factory.EnumAdapters1(adapter_idx) {\n 121→ Ok(a) => a,\n 122→ Err(_) => break,\n 123→ };\n 124→\n 125→ let mut output_idx = 0u32;\n 126→\n 127→ loop {\n 128→ // Enumerate outputs for this adapter\n 129→ let output: IDXGIOutput = match adapter.EnumOutputs(output_idx) {\n 130→ Ok(o) => o,\n 131→ Err(_) => break,\n 132→ };\n 133→\n 134→ // Check if this is the display we want\n 135→ let desc = output.GetDesc()?;\n 136→\n 137→ let name = String::from_utf16_lossy(\n 138→ &desc.DeviceName[..desc.DeviceName.iter().position(|&c| c == 0).unwrap_or(desc.DeviceName.len())]\n 139→ );\n 140→\n 141→ if name == display.name || desc.Monitor.0 as isize == display.handle {\n 142→ return Ok((adapter, output));\n 143→ }\n 144→\n 145→ output_idx += 1;\n 146→ }\n 147→\n 148→ adapter_idx += 1;\n 149→ }\n 150→\n 151→ // If we didn't find the specific display, use the first one\n 152→ let adapter: IDXGIAdapter1 = factory.EnumAdapters1(0)\n 153→ .context(\"No adapters found\")?;\n 154→ let output: IDXGIOutput = adapter.EnumOutputs(0)\n 155→ .context(\"No outputs found\")?;\n 156→\n 157→ Ok((adapter, output))\n 158→ }\n 159→ }\n 160→\n 161→ /// Create or get the staging texture for CPU access\n 162→ fn get_staging_texture(&mut self, src_texture: &ID3D11Texture2D) -> Result<&ID3D11Texture2D> {\n 163→ if self.staging_texture.is_none() {\n 164→ unsafe {\n 165→ let mut desc = D3D11_TEXTURE2D_DESC::default();\n 166→ src_texture.GetDesc(&mut desc);\n 167→\n 168→ desc.Usage = D3D11_USAGE_STAGING;\n 169→ desc.BindFlags = Default::default();\n 170→ desc.CPUAccessFlags = D3D11_CPU_ACCESS_READ.0 as u32;\n 171→ desc.MiscFlags = Default::default();\n 172→\n 173→ let mut staging: Option<ID3D11Texture2D> = None;\n 174→ self.device.CreateTexture2D(&desc, None, Some(&mut staging))\n 175→ .context(\"Failed to create staging texture\")?;\n 176→ let staging = staging.context(\"Staging texture is None\")?;\n 177→\n 178→ // Set high priority\n 179→ let resource: IDXGIResource = staging.cast()?;\n 180→ resource.SetEvictionPriority(DXGI_RESOURCE_PRIORITY_MAXIMUM)?;\n 181→\n 182→ self.staging_texture = Some(staging);\n 183→ }\n 184→ }\n 185→\n 186→ Ok(self.staging_texture.as_ref().unwrap())\n 187→ }\n 188→\n 189→ /// Acquire the next frame from the desktop\n 190→ fn acquire_frame(&mut self, timeout_ms: u32) -> Result<Option<(ID3D11Texture2D, DXGI_OUTDUPL_FRAME_INFO)>> {\n 191→ unsafe {\n 192→ let mut frame_info = DXGI_OUTDUPL_FRAME_INFO::default();\n 193→ let mut desktop_resource: Option<IDXGIResource> = None;\n 194→\n 195→ let result = self.duplication.AcquireNextFrame(\n 196→ timeout_ms,\n 197→ &mut frame_info,\n 198→ &mut desktop_resource,\n 199→ );\n 200→\n 201→ match result {\n 202→ Ok(_) => {\n 203→ let resource = desktop_resource.context(\"Desktop resource is None\")?;\n 204→\n 205→ // Check if there's actually a new frame\n 206→ if frame_info.LastPresentTime == 0 {\n 207→ self.duplication.ReleaseFrame().ok();\n 208→ return Ok(None);\n 209→ }\n 210→\n 211→ let texture: ID3D11Texture2D = resource.cast()\n 212→ .context(\"Failed to cast to ID3D11Texture2D\")?;\n 213→\n 214→ Ok(Some((texture, frame_info)))\n 215→ }\n 216→ Err(e) if e.code() == DXGI_ERROR_WAIT_TIMEOUT => {\n 217→ // No new frame available\n 218→ Ok(None)\n 219→ }\n 220→ Err(e) if e.code() == DXGI_ERROR_ACCESS_LOST => {\n 221→ // Desktop duplication was invalidated, need to recreate\n 222→ tracing::warn!(\"Desktop duplication access lost, will need to recreate\");\n 223→ Err(anyhow::anyhow!(\"Access lost\"))\n 224→ }\n 225→ Err(e) => {\n 226→ Err(e).context(\"Failed to acquire frame\")\n 227→ }\n 228→ }\n 229→ }\n 230→ }\n 231→\n 232→ /// Copy frame data to CPU-accessible memory\n 233→ fn copy_frame_data(&mut self, texture: &ID3D11Texture2D) -> Result<Vec<u8>> {\n 234→ unsafe {\n 235→ // Get or create staging texture\n 236→ let staging = self.get_staging_texture(texture)?.clone();\n 237→\n 238→ // Copy from GPU texture to staging texture\n 239→ self.context.CopyResource(&staging, texture);\n 240→\n 241→ // Map the staging texture for CPU read\n 242→ let mut mapped = D3D11_MAPPED_SUBRESOURCE::default();\n 243→ self.context\n 244→ .Map(&staging, 0, D3D11_MAP_READ, 0, Some(&mut mapped))\n 245→ .context(\"Failed to map staging texture\")?;\n 246→\n 247→ // Copy pixel data\n 248→ let src_pitch = mapped.RowPitch as usize;\n 249→ let dst_pitch = (self.width * 4) as usize;\n 250→ let height = self.height as usize;\n 251→\n 252→ let mut data = vec![0u8; dst_pitch * height];\n 253→\n 254→ let src_ptr = mapped.pData as *const u8;\n 255→ for y in 0..height {\n 256→ let src_row = src_ptr.add(y * src_pitch);\n 257→ let dst_row = data.as_mut_ptr().add(y * dst_pitch);\n 258→ ptr::copy_nonoverlapping(src_row, dst_row, dst_pitch);\n 259→ }\n 260→\n 261→ // Unmap\n 262→ self.context.Unmap(&staging, 0);\n 263→\n 264→ Ok(data)\n 265→ }\n 266→ }\n 267→\n 268→ /// Extract dirty rectangles from frame info\n 269→ fn extract_dirty_rects(&self, _frame_info: &DXGI_OUTDUPL_FRAME_INFO) -> Option<Vec<DirtyRect>> {\n 270→ // TODO: Implement dirty rectangle extraction using\n 271→ // IDXGIOutputDuplication::GetFrameDirtyRects and GetFrameMoveRects\n 272→ // For now, return None to indicate full frame update\n 273→ None\n 274→ }\n 275→}\n 276→\n 277→impl Capturer for DxgiCapturer {\n 278→ fn capture(&mut self) -> Result<Option<CapturedFrame>> {\n 279→ // Try to acquire a frame with 100ms timeout\n 280→ let frame_result = self.acquire_frame(100)?;\n 281→\n 282→ let (texture, frame_info) = match frame_result {\n 283→ Some((t, f)) => (t, f),\n 284→ None => return Ok(None), // No new frame\n 285→ };\n 286→\n 287→ // Copy frame data to CPU memory\n 288→ let data = self.copy_frame_data(&texture)?;\n 289→\n 290→ // Release the frame\n 291→ unsafe {\n 292→ self.duplication.ReleaseFrame().ok();\n 293→ }\n 294→\n 295→ // Extract dirty rectangles if available\n 296→ let dirty_rects = self.extract_dirty_rects(&frame_info);\n 297→\n 298→ Ok(Some(CapturedFrame {\n 299→ width: self.width,\n 300→ height: self.height,\n 301→ data,\n 302→ timestamp: Instant::now(),\n 303→ display_id: self.display.id,\n 304→ dirty_rects,\n 305→ }))\n 306→ }\n 307→\n 308→ fn display(&self) -> &Display {\n 309→ &self.display\n 310→ }\n 311→\n 312→ fn is_valid(&self) -> bool {\n 313→ // Could check if duplication is still valid\n 314→ true\n 315→ }\n 316→}\n 317→\n 318→impl Drop for DxgiCapturer {\n 319→ fn drop(&mut self) {\n 320→ // Release any held frame\n 321→ unsafe {\n 322→ self.duplication.ReleaseFrame().ok();\n 323→ }\n 324→ }\n 325→}\n 326→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"db1c4103-79ee-4c1e-bbf8-10c0003aa65d","timestamp":"2026-01-11T22:38:56.448Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\agent\\src\\capture\\dxgi.rs","content":"//! DXGI Desktop Duplication screen capture\n//!\n//! Uses the Windows Desktop Duplication API (available on Windows 8+) for\n//! high-performance, low-latency screen capture with hardware acceleration.\n//!\n//! Reference: RustDesk's scrap library implementation\n\nuse super::{CapturedFrame, Capturer, DirtyRect, Display};\nuse anyhow::{Context, Result};\nuse std::ptr;\nuse std::time::Instant;\n\nuse windows::Win32::Graphics::Direct3D::D3D_DRIVER_TYPE_UNKNOWN;\nuse windows::Win32::Graphics::Direct3D11::{\n D3D11CreateDevice, ID3D11Device, ID3D11DeviceContext, ID3D11Texture2D,\n D3D11_CPU_ACCESS_READ, D3D11_SDK_VERSION, D3D11_TEXTURE2D_DESC,\n D3D11_USAGE_STAGING, D3D11_MAPPED_SUBRESOURCE, D3D11_MAP_READ,\n};\nuse windows::Win32::Graphics::Dxgi::{\n CreateDXGIFactory1, IDXGIAdapter1, IDXGIFactory1, IDXGIOutput, IDXGIOutput1,\n IDXGIOutputDuplication, IDXGIResource, DXGI_ERROR_ACCESS_LOST,\n DXGI_ERROR_WAIT_TIMEOUT, DXGI_OUTDUPL_DESC, DXGI_OUTDUPL_FRAME_INFO,\n DXGI_RESOURCE_PRIORITY_MAXIMUM,\n};\nuse windows::core::Interface;\n\n/// DXGI Desktop Duplication capturer\npub struct DxgiCapturer {\n display: Display,\n device: ID3D11Device,\n context: ID3D11DeviceContext,\n duplication: IDXGIOutputDuplication,\n staging_texture: Option<ID3D11Texture2D>,\n width: u32,\n height: u32,\n last_frame: Option<Vec<u8>>,\n}\n\nimpl DxgiCapturer {\n /// Create a new DXGI capturer for the specified display\n pub fn new(display: Display) -> Result<Self> {\n let (device, context, duplication, desc) = Self::create_duplication(&display)?;\n\n Ok(Self {\n display,\n device,\n context,\n duplication,\n staging_texture: None,\n width: desc.ModeDesc.Width,\n height: desc.ModeDesc.Height,\n last_frame: None,\n })\n }\n\n /// Create D3D device and output duplication\n fn create_duplication(\n display_info: &Display,\n ) -> Result<(ID3D11Device, ID3D11DeviceContext, IDXGIOutputDuplication, DXGI_OUTDUPL_DESC)> {\n unsafe {\n // Create DXGI factory\n let factory: IDXGIFactory1 = CreateDXGIFactory1()\n .context(\"Failed to create DXGI factory\")?;\n\n // Find the adapter and output for this display\n let (adapter, output) = Self::find_adapter_output(&factory, display_info)?;\n\n // Create D3D11 device\n let mut device: Option<ID3D11Device> = None;\n let mut context: Option<ID3D11DeviceContext> = None;\n\n D3D11CreateDevice(\n &adapter,\n D3D_DRIVER_TYPE_UNKNOWN,\n None,\n Default::default(),\n None,\n D3D11_SDK_VERSION,\n Some(&mut device),\n None,\n Some(&mut context),\n )\n .context(\"Failed to create D3D11 device\")?;\n\n let device = device.context(\"D3D11 device is None\")?;\n let context = context.context(\"D3D11 context is None\")?;\n\n // Get IDXGIOutput1 interface\n let output1: IDXGIOutput1 = output.cast()\n .context(\"Failed to get IDXGIOutput1 interface\")?;\n\n // Create output duplication\n let duplication = output1.DuplicateOutput(&device)\n .context(\"Failed to create output duplication\")?;\n\n // Get duplication description\n let desc = duplication.GetDesc();\n\n tracing::info!(\n \"Created DXGI duplication: {}x{}, display: {}\",\n desc.ModeDesc.Width,\n desc.ModeDesc.Height,\n display_info.name\n );\n\n Ok((device, context, duplication, desc))\n }\n }\n\n /// Find the adapter and output for the specified display\n fn find_adapter_output(\n factory: &IDXGIFactory1,\n display: &Display,\n ) -> Result<(IDXGIAdapter1, IDXGIOutput)> {\n unsafe {\n let mut adapter_idx = 0u32;\n\n loop {\n // Enumerate adapters\n let adapter: IDXGIAdapter1 = match factory.EnumAdapters1(adapter_idx) {\n Ok(a) => a,\n Err(_) => break,\n };\n\n let mut output_idx = 0u32;\n\n loop {\n // Enumerate outputs for this adapter\n let output: IDXGIOutput = match adapter.EnumOutputs(output_idx) {\n Ok(o) => o,\n Err(_) => break,\n };\n\n // Check if this is the display we want\n let desc = output.GetDesc()?;\n\n let name = String::from_utf16_lossy(\n &desc.DeviceName[..desc.DeviceName.iter().position(|&c| c == 0).unwrap_or(desc.DeviceName.len())]\n );\n\n if name == display.name || desc.Monitor.0 as isize == display.handle {\n return Ok((adapter, output));\n }\n\n output_idx += 1;\n }\n\n adapter_idx += 1;\n }\n\n // If we didn't find the specific display, use the first one\n let adapter: IDXGIAdapter1 = factory.EnumAdapters1(0)\n .context(\"No adapters found\")?;\n let output: IDXGIOutput = adapter.EnumOutputs(0)\n .context(\"No outputs found\")?;\n\n Ok((adapter, output))\n }\n }\n\n /// Create or get the staging texture for CPU access\n fn get_staging_texture(&mut self, src_texture: &ID3D11Texture2D) -> Result<&ID3D11Texture2D> {\n if self.staging_texture.is_none() {\n unsafe {\n let mut desc = D3D11_TEXTURE2D_DESC::default();\n src_texture.GetDesc(&mut desc);\n\n desc.Usage = D3D11_USAGE_STAGING;\n desc.BindFlags = Default::default();\n desc.CPUAccessFlags = D3D11_CPU_ACCESS_READ.0 as u32;\n desc.MiscFlags = Default::default();\n\n let mut staging: Option<ID3D11Texture2D> = None;\n self.device.CreateTexture2D(&desc, None, Some(&mut staging))\n .context(\"Failed to create staging texture\")?;\n let staging = staging.context(\"Staging texture is None\")?;\n\n // Set high priority\n let resource: IDXGIResource = staging.cast()?;\n resource.SetEvictionPriority(DXGI_RESOURCE_PRIORITY_MAXIMUM)?;\n\n self.staging_texture = Some(staging);\n }\n }\n\n Ok(self.staging_texture.as_ref().unwrap())\n }\n\n /// Acquire the next frame from the desktop\n fn acquire_frame(&mut self, timeout_ms: u32) -> Result<Option<(ID3D11Texture2D, DXGI_OUTDUPL_FRAME_INFO)>> {\n unsafe {\n let mut frame_info = DXGI_OUTDUPL_FRAME_INFO::default();\n let mut desktop_resource: Option<IDXGIResource> = None;\n\n let result = self.duplication.AcquireNextFrame(\n timeout_ms,\n &mut frame_info,\n &mut desktop_resource,\n );\n\n match result {\n Ok(_) => {\n let resource = desktop_resource.context(\"Desktop resource is None\")?;\n\n // Check if there's actually a new frame\n if frame_info.LastPresentTime == 0 {\n self.duplication.ReleaseFrame().ok();\n return Ok(None);\n }\n\n let texture: ID3D11Texture2D = resource.cast()\n .context(\"Failed to cast to ID3D11Texture2D\")?;\n\n Ok(Some((texture, frame_info)))\n }\n Err(e) if e.code() == DXGI_ERROR_WAIT_TIMEOUT => {\n // No new frame available\n Ok(None)\n }\n Err(e) if e.code() == DXGI_ERROR_ACCESS_LOST => {\n // Desktop duplication was invalidated, need to recreate\n tracing::warn!(\"Desktop duplication access lost, will need to recreate\");\n Err(anyhow::anyhow!(\"Access lost\"))\n }\n Err(e) => {\n Err(e).context(\"Failed to acquire frame\")\n }\n }\n }\n }\n\n /// Copy frame data to CPU-accessible memory\n fn copy_frame_data(&mut self, texture: &ID3D11Texture2D) -> Result<Vec<u8>> {\n unsafe {\n // Get or create staging texture\n let staging = self.get_staging_texture(texture)?.clone();\n\n // Copy from GPU texture to staging texture\n self.context.CopyResource(&staging, texture);\n\n // Map the staging texture for CPU read\n let mut mapped = D3D11_MAPPED_SUBRESOURCE::default();\n self.context\n .Map(&staging, 0, D3D11_MAP_READ, 0, Some(&mut mapped))\n .context(\"Failed to map staging texture\")?;\n\n // Copy pixel data\n let src_pitch = mapped.RowPitch as usize;\n let dst_pitch = (self.width * 4) as usize;\n let height = self.height as usize;\n\n let mut data = vec![0u8; dst_pitch * height];\n\n let src_ptr = mapped.pData as *const u8;\n for y in 0..height {\n let src_row = src_ptr.add(y * src_pitch);\n let dst_row = data.as_mut_ptr().add(y * dst_pitch);\n ptr::copy_nonoverlapping(src_row, dst_row, dst_pitch);\n }\n\n // Unmap\n self.context.Unmap(&staging, 0);\n\n Ok(data)\n }\n }\n\n /// Extract dirty rectangles from frame info\n fn extract_dirty_rects(&self, _frame_info: &DXGI_OUTDUPL_FRAME_INFO) -> Option<Vec<DirtyRect>> {\n // TODO: Implement dirty rectangle extraction using\n // IDXGIOutputDuplication::GetFrameDirtyRects and GetFrameMoveRects\n // For now, return None to indicate full frame update\n None\n }\n}\n\nimpl Capturer for DxgiCapturer {\n fn capture(&mut self) -> Result<Option<CapturedFrame>> {\n // Try to acquire a frame with 100ms timeout\n let frame_result = self.acquire_frame(100)?;\n\n let (texture, frame_info) = match frame_result {\n Some((t, f)) => (t, f),\n None => return Ok(None), // No new frame\n };\n\n // Copy frame data to CPU memory\n let data = self.copy_frame_data(&texture)?;\n\n // Release the frame\n unsafe {\n self.duplication.ReleaseFrame().ok();\n }\n\n // Extract dirty rectangles if available\n let dirty_rects = self.extract_dirty_rects(&frame_info);\n\n Ok(Some(CapturedFrame {\n width: self.width,\n height: self.height,\n data,\n timestamp: Instant::now(),\n display_id: self.display.id,\n dirty_rects,\n }))\n }\n\n fn display(&self) -> &Display {\n &self.display\n }\n\n fn is_valid(&self) -> bool {\n // Could check if duplication is still valid\n true\n }\n}\n\nimpl Drop for DxgiCapturer {\n fn drop(&mut self) {\n // Release any held frame\n unsafe {\n self.duplication.ReleaseFrame().ok();\n }\n }\n}\n","numLines":326,"startLine":1,"totalLines":326}},"sourceToolAssistantUUID":"5846e973-bf60-4a41-8a92-430011340f73"}
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{"parentUuid":"1a1aac4d-86fb-47d9-b43a-5ffcd5fafce2","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SwvR4f5d9gFap1BauPAszd","type":"tool_result","content":" 1→//! Raw frame encoder with Zstd compression\n 2→//!\n 3→//! Best for LAN connections where bandwidth is plentiful and latency is critical.\n 4→//! Compresses BGRA pixel data using Zstd for fast compression/decompression.\n 5→\n 6→use super::{EncodedFrame, Encoder};\n 7→use crate::capture::{CapturedFrame, DirtyRect};\n 8→use crate::proto::{video_frame, DirtyRect as ProtoDirtyRect, RawFrame, VideoFrame};\n 9→use anyhow::Result;\n 10→\n 11→/// Raw frame encoder with Zstd compression\n 12→pub struct RawEncoder {\n 13→ /// Compression level (1-22, default 3 for speed)\n 14→ compression_level: i32,\n 15→\n 16→ /// Previous frame for delta detection\n 17→ previous_frame: Option<Vec<u8>>,\n 18→\n 19→ /// Force keyframe on next encode\n 20→ force_keyframe: bool,\n 21→\n 22→ /// Frame counter\n 23→ sequence: u32,\n 24→}\n 25→\n 26→impl RawEncoder {\n 27→ /// Create a new raw encoder\n 28→ ///\n 29→ /// Quality 1-100 maps to Zstd compression level:\n 30→ /// - Low quality (1-33): Level 1-3 (fastest)\n 31→ /// - Medium quality (34-66): Level 4-9\n 32→ /// - High quality (67-100): Level 10-15 (best compression)\n 33→ pub fn new(quality: u32) -> Result<Self> {\n 34→ let compression_level = Self::quality_to_level(quality);\n 35→\n 36→ Ok(Self {\n 37→ compression_level,\n 38→ previous_frame: None,\n 39→ force_keyframe: true, // Start with keyframe\n 40→ sequence: 0,\n 41→ })\n 42→ }\n 43→\n 44→ /// Convert quality (1-100) to Zstd compression level\n 45→ fn quality_to_level(quality: u32) -> i32 {\n 46→ // Lower quality = faster compression (level 1-3)\n 47→ // Higher quality = better compression (level 10-15)\n 48→ // We optimize for speed, so cap at 6\n 49→ match quality {\n 50→ 0..=33 => 1,\n 51→ 34..=50 => 2,\n 52→ 51..=66 => 3,\n 53→ 67..=80 => 4,\n 54→ 81..=90 => 5,\n 55→ _ => 6,\n 56→ }\n 57→ }\n 58→\n 59→ /// Compress data using Zstd\n 60→ fn compress(&self, data: &[u8]) -> Result<Vec<u8>> {\n 61→ let compressed = zstd::encode_all(data, self.compression_level)?;\n 62→ Ok(compressed)\n 63→ }\n 64→\n 65→ /// Detect dirty rectangles by comparing with previous frame\n 66→ fn detect_dirty_rects(\n 67→ &self,\n 68→ current: &[u8],\n 69→ previous: &[u8],\n 70→ width: u32,\n 71→ height: u32,\n 72→ ) -> Vec<DirtyRect> {\n 73→ // Simple block-based dirty detection\n 74→ // Divide screen into 64x64 blocks and check which changed\n 75→ const BLOCK_SIZE: u32 = 64;\n 76→\n 77→ let mut dirty_rects = Vec::new();\n 78→ let stride = (width * 4) as usize;\n 79→\n 80→ let blocks_x = (width + BLOCK_SIZE - 1) / BLOCK_SIZE;\n 81→ let blocks_y = (height + BLOCK_SIZE - 1) / BLOCK_SIZE;\n 82→\n 83→ for by in 0..blocks_y {\n 84→ for bx in 0..blocks_x {\n 85→ let x = bx * BLOCK_SIZE;\n 86→ let y = by * BLOCK_SIZE;\n 87→ let block_w = (BLOCK_SIZE).min(width - x);\n 88→ let block_h = (BLOCK_SIZE).min(height - y);\n 89→\n 90→ // Check if this block changed\n 91→ let mut changed = false;\n 92→ 'block_check: for row in 0..block_h {\n 93→ let row_start = ((y + row) as usize * stride) + (x as usize * 4);\n 94→ let row_end = row_start + (block_w as usize * 4);\n 95→\n 96→ if row_end <= current.len() && row_end <= previous.len() {\n 97→ if current[row_start..row_end] != previous[row_start..row_end] {\n 98→ changed = true;\n 99→ break 'block_check;\n 100→ }\n 101→ } else {\n 102→ changed = true;\n 103→ break 'block_check;\n 104→ }\n 105→ }\n 106→\n 107→ if changed {\n 108→ dirty_rects.push(DirtyRect {\n 109→ x,\n 110→ y,\n 111→ width: block_w,\n 112→ height: block_h,\n 113→ });\n 114→ }\n 115→ }\n 116→ }\n 117→\n 118→ // Merge adjacent dirty rects (simple optimization)\n 119→ // TODO: Implement proper rectangle merging\n 120→\n 121→ dirty_rects\n 122→ }\n 123→\n 124→ /// Extract pixels for dirty rectangles only\n 125→ fn extract_dirty_pixels(\n 126→ &self,\n 127→ data: &[u8],\n 128→ width: u32,\n 129→ dirty_rects: &[DirtyRect],\n 130→ ) -> Vec<u8> {\n 131→ let stride = (width * 4) as usize;\n 132→ let mut pixels = Vec::new();\n 133→\n 134→ for rect in dirty_rects {\n 135→ for row in 0..rect.height {\n 136→ let row_start = ((rect.y + row) as usize * stride) + (rect.x as usize * 4);\n 137→ let row_end = row_start + (rect.width as usize * 4);\n 138→\n 139→ if row_end <= data.len() {\n 140→ pixels.extend_from_slice(&data[row_start..row_end]);\n 141→ }\n 142→ }\n 143→ }\n 144→\n 145→ pixels\n 146→ }\n 147→}\n 148→\n 149→impl Encoder for RawEncoder {\n 150→ fn encode(&mut self, frame: &CapturedFrame) -> Result<EncodedFrame> {\n 151→ self.sequence = self.sequence.wrapping_add(1);\n 152→\n 153→ let is_keyframe = self.force_keyframe || self.previous_frame.is_none();\n 154→ self.force_keyframe = false;\n 155→\n 156→ let (data_to_compress, dirty_rects, full_frame) = if is_keyframe {\n 157→ // Keyframe: send full frame\n 158→ (frame.data.clone(), Vec::new(), true)\n 159→ } else if let Some(ref previous) = self.previous_frame {\n 160→ // Delta frame: detect and send only changed regions\n 161→ let dirty_rects =\n 162→ self.detect_dirty_rects(&frame.data, previous, frame.width, frame.height);\n 163→\n 164→ if dirty_rects.is_empty() {\n 165→ // No changes, skip frame\n 166→ return Ok(EncodedFrame {\n 167→ frame: VideoFrame::default(),\n 168→ size: 0,\n 169→ is_keyframe: false,\n 170→ });\n 171→ }\n 172→\n 173→ // If too many dirty rects, just send full frame\n 174→ if dirty_rects.len() > 50 {\n 175→ (frame.data.clone(), Vec::new(), true)\n 176→ } else {\n 177→ let dirty_pixels = self.extract_dirty_pixels(&frame.data, frame.width, &dirty_rects);\n 178→ (dirty_pixels, dirty_rects, false)\n 179→ }\n 180→ } else {\n 181→ (frame.data.clone(), Vec::new(), true)\n 182→ };\n 183→\n 184→ // Compress the data\n 185→ let compressed = self.compress(&data_to_compress)?;\n 186→ let size = compressed.len();\n 187→\n 188→ // Build protobuf message\n 189→ let proto_dirty_rects: Vec<ProtoDirtyRect> = dirty_rects\n 190→ .iter()\n 191→ .map(|r| ProtoDirtyRect {\n 192→ x: r.x as i32,\n 193→ y: r.y as i32,\n 194→ width: r.width as i32,\n 195→ height: r.height as i32,\n 196→ })\n 197→ .collect();\n 198→\n 199→ let raw_frame = RawFrame {\n 200→ width: frame.width as i32,\n 201→ height: frame.height as i32,\n 202→ data: compressed,\n 203→ compressed: true,\n 204→ dirty_rects: proto_dirty_rects,\n 205→ is_keyframe: full_frame,\n 206→ };\n 207→\n 208→ let video_frame = VideoFrame {\n 209→ timestamp: frame.timestamp.elapsed().as_millis() as i64,\n 210→ display_id: frame.display_id as i32,\n 211→ sequence: self.sequence as i32,\n 212→ encoding: Some(video_frame::Encoding::Raw(raw_frame)),\n 213→ };\n 214→\n 215→ // Save current frame for next comparison\n 216→ self.previous_frame = Some(frame.data.clone());\n 217→\n 218→ Ok(EncodedFrame {\n 219→ frame: video_frame,\n 220→ size,\n 221→ is_keyframe: full_frame,\n 222→ })\n 223→ }\n 224→\n 225→ fn request_keyframe(&mut self) {\n 226→ self.force_keyframe = true;\n 227→ }\n 228→\n 229→ fn name(&self) -> &str {\n 230→ \"raw+zstd\"\n 231→ }\n 232→}\n 233→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"3a2bb310-0921-4f0a-9170-9dc43a4c83ce","timestamp":"2026-01-11T22:38:56.448Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\agent\\src\\encoder\\raw.rs","content":"//! Raw frame encoder with Zstd compression\n//!\n//! Best for LAN connections where bandwidth is plentiful and latency is critical.\n//! Compresses BGRA pixel data using Zstd for fast compression/decompression.\n\nuse super::{EncodedFrame, Encoder};\nuse crate::capture::{CapturedFrame, DirtyRect};\nuse crate::proto::{video_frame, DirtyRect as ProtoDirtyRect, RawFrame, VideoFrame};\nuse anyhow::Result;\n\n/// Raw frame encoder with Zstd compression\npub struct RawEncoder {\n /// Compression level (1-22, default 3 for speed)\n compression_level: i32,\n\n /// Previous frame for delta detection\n previous_frame: Option<Vec<u8>>,\n\n /// Force keyframe on next encode\n force_keyframe: bool,\n\n /// Frame counter\n sequence: u32,\n}\n\nimpl RawEncoder {\n /// Create a new raw encoder\n ///\n /// Quality 1-100 maps to Zstd compression level:\n /// - Low quality (1-33): Level 1-3 (fastest)\n /// - Medium quality (34-66): Level 4-9\n /// - High quality (67-100): Level 10-15 (best compression)\n pub fn new(quality: u32) -> Result<Self> {\n let compression_level = Self::quality_to_level(quality);\n\n Ok(Self {\n compression_level,\n previous_frame: None,\n force_keyframe: true, // Start with keyframe\n sequence: 0,\n })\n }\n\n /// Convert quality (1-100) to Zstd compression level\n fn quality_to_level(quality: u32) -> i32 {\n // Lower quality = faster compression (level 1-3)\n // Higher quality = better compression (level 10-15)\n // We optimize for speed, so cap at 6\n match quality {\n 0..=33 => 1,\n 34..=50 => 2,\n 51..=66 => 3,\n 67..=80 => 4,\n 81..=90 => 5,\n _ => 6,\n }\n }\n\n /// Compress data using Zstd\n fn compress(&self, data: &[u8]) -> Result<Vec<u8>> {\n let compressed = zstd::encode_all(data, self.compression_level)?;\n Ok(compressed)\n }\n\n /// Detect dirty rectangles by comparing with previous frame\n fn detect_dirty_rects(\n &self,\n current: &[u8],\n previous: &[u8],\n width: u32,\n height: u32,\n ) -> Vec<DirtyRect> {\n // Simple block-based dirty detection\n // Divide screen into 64x64 blocks and check which changed\n const BLOCK_SIZE: u32 = 64;\n\n let mut dirty_rects = Vec::new();\n let stride = (width * 4) as usize;\n\n let blocks_x = (width + BLOCK_SIZE - 1) / BLOCK_SIZE;\n let blocks_y = (height + BLOCK_SIZE - 1) / BLOCK_SIZE;\n\n for by in 0..blocks_y {\n for bx in 0..blocks_x {\n let x = bx * BLOCK_SIZE;\n let y = by * BLOCK_SIZE;\n let block_w = (BLOCK_SIZE).min(width - x);\n let block_h = (BLOCK_SIZE).min(height - y);\n\n // Check if this block changed\n let mut changed = false;\n 'block_check: for row in 0..block_h {\n let row_start = ((y + row) as usize * stride) + (x as usize * 4);\n let row_end = row_start + (block_w as usize * 4);\n\n if row_end <= current.len() && row_end <= previous.len() {\n if current[row_start..row_end] != previous[row_start..row_end] {\n changed = true;\n break 'block_check;\n }\n } else {\n changed = true;\n break 'block_check;\n }\n }\n\n if changed {\n dirty_rects.push(DirtyRect {\n x,\n y,\n width: block_w,\n height: block_h,\n });\n }\n }\n }\n\n // Merge adjacent dirty rects (simple optimization)\n // TODO: Implement proper rectangle merging\n\n dirty_rects\n }\n\n /// Extract pixels for dirty rectangles only\n fn extract_dirty_pixels(\n &self,\n data: &[u8],\n width: u32,\n dirty_rects: &[DirtyRect],\n ) -> Vec<u8> {\n let stride = (width * 4) as usize;\n let mut pixels = Vec::new();\n\n for rect in dirty_rects {\n for row in 0..rect.height {\n let row_start = ((rect.y + row) as usize * stride) + (rect.x as usize * 4);\n let row_end = row_start + (rect.width as usize * 4);\n\n if row_end <= data.len() {\n pixels.extend_from_slice(&data[row_start..row_end]);\n }\n }\n }\n\n pixels\n }\n}\n\nimpl Encoder for RawEncoder {\n fn encode(&mut self, frame: &CapturedFrame) -> Result<EncodedFrame> {\n self.sequence = self.sequence.wrapping_add(1);\n\n let is_keyframe = self.force_keyframe || self.previous_frame.is_none();\n self.force_keyframe = false;\n\n let (data_to_compress, dirty_rects, full_frame) = if is_keyframe {\n // Keyframe: send full frame\n (frame.data.clone(), Vec::new(), true)\n } else if let Some(ref previous) = self.previous_frame {\n // Delta frame: detect and send only changed regions\n let dirty_rects =\n self.detect_dirty_rects(&frame.data, previous, frame.width, frame.height);\n\n if dirty_rects.is_empty() {\n // No changes, skip frame\n return Ok(EncodedFrame {\n frame: VideoFrame::default(),\n size: 0,\n is_keyframe: false,\n });\n }\n\n // If too many dirty rects, just send full frame\n if dirty_rects.len() > 50 {\n (frame.data.clone(), Vec::new(), true)\n } else {\n let dirty_pixels = self.extract_dirty_pixels(&frame.data, frame.width, &dirty_rects);\n (dirty_pixels, dirty_rects, false)\n }\n } else {\n (frame.data.clone(), Vec::new(), true)\n };\n\n // Compress the data\n let compressed = self.compress(&data_to_compress)?;\n let size = compressed.len();\n\n // Build protobuf message\n let proto_dirty_rects: Vec<ProtoDirtyRect> = dirty_rects\n .iter()\n .map(|r| ProtoDirtyRect {\n x: r.x as i32,\n y: r.y as i32,\n width: r.width as i32,\n height: r.height as i32,\n })\n .collect();\n\n let raw_frame = RawFrame {\n width: frame.width as i32,\n height: frame.height as i32,\n data: compressed,\n compressed: true,\n dirty_rects: proto_dirty_rects,\n is_keyframe: full_frame,\n };\n\n let video_frame = VideoFrame {\n timestamp: frame.timestamp.elapsed().as_millis() as i64,\n display_id: frame.display_id as i32,\n sequence: self.sequence as i32,\n encoding: Some(video_frame::Encoding::Raw(raw_frame)),\n };\n\n // Save current frame for next comparison\n self.previous_frame = Some(frame.data.clone());\n\n Ok(EncodedFrame {\n frame: video_frame,\n size,\n is_keyframe: full_frame,\n })\n }\n\n fn request_keyframe(&mut self) {\n self.force_keyframe = true;\n }\n\n fn name(&self) -> &str {\n \"raw+zstd\"\n }\n}\n","numLines":233,"startLine":1,"totalLines":233}},"sourceToolAssistantUUID":"1a1aac4d-86fb-47d9-b43a-5ffcd5fafce2"}
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{"parentUuid":"0b0b5f5c-9c59-459d-95e1-1371e52807d4","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JokyB6mjLLLG3nNXkYoyWk","type":"tool_result","content":" 1→//! WebSocket relay handlers\n 2→//!\n 3→//! Handles WebSocket connections from agents and viewers,\n 4→//! relaying video frames and input events between them.\n 5→\n 6→use axum::{\n 7→ extract::{\n 8→ ws::{Message, WebSocket, WebSocketUpgrade},\n 9→ Query, State,\n 10→ },\n 11→ response::IntoResponse,\n 12→};\n 13→use futures_util::{SinkExt, StreamExt};\n 14→use prost::Message as ProstMessage;\n 15→use serde::Deserialize;\n 16→use tracing::{error, info, warn};\n 17→\n 18→use crate::proto;\n 19→use crate::session::SessionManager;\n 20→\n 21→#[derive(Debug, Deserialize)]\n 22→pub struct AgentParams {\n 23→ agent_id: String,\n 24→ #[serde(default)]\n 25→ agent_name: Option<String>,\n 26→}\n 27→\n 28→#[derive(Debug, Deserialize)]\n 29→pub struct ViewerParams {\n 30→ session_id: String,\n 31→}\n 32→\n 33→/// WebSocket handler for agent connections\n 34→pub async fn agent_ws_handler(\n 35→ ws: WebSocketUpgrade,\n 36→ State(sessions): State<SessionManager>,\n 37→ Query(params): Query<AgentParams>,\n 38→) -> impl IntoResponse {\n 39→ let agent_id = params.agent_id;\n 40→ let agent_name = params.agent_name.unwrap_or_else(|| agent_id.clone());\n 41→\n 42→ ws.on_upgrade(move |socket| handle_agent_connection(socket, sessions, agent_id, agent_name))\n 43→}\n 44→\n 45→/// WebSocket handler for viewer connections\n 46→pub async fn viewer_ws_handler(\n 47→ ws: WebSocketUpgrade,\n 48→ State(sessions): State<SessionManager>,\n 49→ Query(params): Query<ViewerParams>,\n 50→) -> impl IntoResponse {\n 51→ let session_id = params.session_id;\n 52→\n 53→ ws.on_upgrade(move |socket| handle_viewer_connection(socket, sessions, session_id))\n 54→}\n 55→\n 56→/// Handle an agent WebSocket connection\n 57→async fn handle_agent_connection(\n 58→ socket: WebSocket,\n 59→ sessions: SessionManager,\n 60→ agent_id: String,\n 61→ agent_name: String,\n 62→) {\n 63→ info!(\"Agent connected: {} ({})\", agent_name, agent_id);\n 64→\n 65→ // Register the agent and get channels\n 66→ let (session_id, frame_tx, mut input_rx) = sessions.register_agent(agent_id.clone(), agent_name.clone()).await;\n 67→\n 68→ info!(\"Session created: {}\", session_id);\n 69→\n 70→ let (mut ws_sender, mut ws_receiver) = socket.split();\n 71→\n 72→ // Task to forward input events from viewers to agent\n 73→ let input_forward = tokio::spawn(async move {\n 74→ while let Some(input_data) = input_rx.recv().await {\n 75→ if ws_sender.send(Message::Binary(input_data.into())).await.is_err() {\n 76→ break;\n 77→ }\n 78→ }\n 79→ });\n 80→\n 81→ // Main loop: receive frames from agent and broadcast to viewers\n 82→ while let Some(msg) = ws_receiver.next().await {\n 83→ match msg {\n 84→ Ok(Message::Binary(data)) => {\n 85→ // Try to decode as protobuf message\n 86→ match proto::Message::decode(data.as_ref()) {\n 87→ Ok(proto_msg) => {\n 88→ if let Some(proto::message::Payload::VideoFrame(_)) = &proto_msg.payload {\n 89→ // Broadcast frame to all viewers\n 90→ let _ = frame_tx.send(data.to_vec());\n 91→ }\n 92→ }\n 93→ Err(e) => {\n 94→ warn!(\"Failed to decode agent message: {}\", e);\n 95→ }\n 96→ }\n 97→ }\n 98→ Ok(Message::Close(_)) => {\n 99→ info!(\"Agent disconnected: {}\", agent_id);\n 100→ break;\n 101→ }\n 102→ Ok(Message::Ping(data)) => {\n 103→ // Pong is handled automatically by axum\n 104→ let _ = data;\n 105→ }\n 106→ Ok(_) => {}\n 107→ Err(e) => {\n 108→ error!(\"WebSocket error from agent {}: {}\", agent_id, e);\n 109→ break;\n 110→ }\n 111→ }\n 112→ }\n 113→\n 114→ // Cleanup\n 115→ input_forward.abort();\n 116→ sessions.remove_session(session_id).await;\n 117→ info!(\"Session {} ended\", session_id);\n 118→}\n 119→\n 120→/// Handle a viewer WebSocket connection\n 121→async fn handle_viewer_connection(\n 122→ socket: WebSocket,\n 123→ sessions: SessionManager,\n 124→ session_id_str: String,\n 125→) {\n 126→ // Parse session ID\n 127→ let session_id = match uuid::Uuid::parse_str(&session_id_str) {\n 128→ Ok(id) => id,\n 129→ Err(_) => {\n 130→ warn!(\"Invalid session ID: {}\", session_id_str);\n 131→ return;\n 132→ }\n 133→ };\n 134→\n 135→ // Join the session\n 136→ let (mut frame_rx, input_tx) = match sessions.join_session(session_id).await {\n 137→ Some(channels) => channels,\n 138→ None => {\n 139→ warn!(\"Session not found: {}\", session_id);\n 140→ return;\n 141→ }\n 142→ };\n 143→\n 144→ info!(\"Viewer joined session: {}\", session_id);\n 145→\n 146→ let (mut ws_sender, mut ws_receiver) = socket.split();\n 147→\n 148→ // Task to forward frames from agent to this viewer\n 149→ let frame_forward = tokio::spawn(async move {\n 150→ while let Ok(frame_data) = frame_rx.recv().await {\n 151→ if ws_sender.send(Message::Binary(frame_data.into())).await.is_err() {\n 152→ break;\n 153→ }\n 154→ }\n 155→ });\n 156→\n 157→ // Main loop: receive input from viewer and forward to agent\n 158→ while let Some(msg) = ws_receiver.next().await {\n 159→ match msg {\n 160→ Ok(Message::Binary(data)) => {\n 161→ // Try to decode as protobuf message\n 162→ match proto::Message::decode(data.as_ref()) {\n 163→ Ok(proto_msg) => {\n 164→ match &proto_msg.payload {\n 165→ Some(proto::message::Payload::MouseEvent(_)) |\n 166→ Some(proto::message::Payload::KeyEvent(_)) => {\n 167→ // Forward input to agent\n 168→ let _ = input_tx.send(data.to_vec()).await;\n 169→ }\n 170→ _ => {}\n 171→ }\n 172→ }\n 173→ Err(e) => {\n 174→ warn!(\"Failed to decode viewer message: {}\", e);\n 175→ }\n 176→ }\n 177→ }\n 178→ Ok(Message::Close(_)) => {\n 179→ info!(\"Viewer disconnected from session: {}\", session_id);\n 180→ break;\n 181→ }\n 182→ Ok(_) => {}\n 183→ Err(e) => {\n 184→ error!(\"WebSocket error from viewer: {}\", e);\n 185→ break;\n 186→ }\n 187→ }\n 188→ }\n 189→\n 190→ // Cleanup\n 191→ frame_forward.abort();\n 192→ sessions.leave_session(session_id).await;\n 193→ info!(\"Viewer left session: {}\", session_id);\n 194→}\n 195→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"8ba0b280-b0d2-4d1c-85f5-58784dcb7be4","timestamp":"2026-01-11T22:38:56.449Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\server\\src\\relay\\mod.rs","content":"//! WebSocket relay handlers\n//!\n//! Handles WebSocket connections from agents and viewers,\n//! relaying video frames and input events between them.\n\nuse axum::{\n extract::{\n ws::{Message, WebSocket, WebSocketUpgrade},\n Query, State,\n },\n response::IntoResponse,\n};\nuse futures_util::{SinkExt, StreamExt};\nuse prost::Message as ProstMessage;\nuse serde::Deserialize;\nuse tracing::{error, info, warn};\n\nuse crate::proto;\nuse crate::session::SessionManager;\n\n#[derive(Debug, Deserialize)]\npub struct AgentParams {\n agent_id: String,\n #[serde(default)]\n agent_name: Option<String>,\n}\n\n#[derive(Debug, Deserialize)]\npub struct ViewerParams {\n session_id: String,\n}\n\n/// WebSocket handler for agent connections\npub async fn agent_ws_handler(\n ws: WebSocketUpgrade,\n State(sessions): State<SessionManager>,\n Query(params): Query<AgentParams>,\n) -> impl IntoResponse {\n let agent_id = params.agent_id;\n let agent_name = params.agent_name.unwrap_or_else(|| agent_id.clone());\n\n ws.on_upgrade(move |socket| handle_agent_connection(socket, sessions, agent_id, agent_name))\n}\n\n/// WebSocket handler for viewer connections\npub async fn viewer_ws_handler(\n ws: WebSocketUpgrade,\n State(sessions): State<SessionManager>,\n Query(params): Query<ViewerParams>,\n) -> impl IntoResponse {\n let session_id = params.session_id;\n\n ws.on_upgrade(move |socket| handle_viewer_connection(socket, sessions, session_id))\n}\n\n/// Handle an agent WebSocket connection\nasync fn handle_agent_connection(\n socket: WebSocket,\n sessions: SessionManager,\n agent_id: String,\n agent_name: String,\n) {\n info!(\"Agent connected: {} ({})\", agent_name, agent_id);\n\n // Register the agent and get channels\n let (session_id, frame_tx, mut input_rx) = sessions.register_agent(agent_id.clone(), agent_name.clone()).await;\n\n info!(\"Session created: {}\", session_id);\n\n let (mut ws_sender, mut ws_receiver) = socket.split();\n\n // Task to forward input events from viewers to agent\n let input_forward = tokio::spawn(async move {\n while let Some(input_data) = input_rx.recv().await {\n if ws_sender.send(Message::Binary(input_data.into())).await.is_err() {\n break;\n }\n }\n });\n\n // Main loop: receive frames from agent and broadcast to viewers\n while let Some(msg) = ws_receiver.next().await {\n match msg {\n Ok(Message::Binary(data)) => {\n // Try to decode as protobuf message\n match proto::Message::decode(data.as_ref()) {\n Ok(proto_msg) => {\n if let Some(proto::message::Payload::VideoFrame(_)) = &proto_msg.payload {\n // Broadcast frame to all viewers\n let _ = frame_tx.send(data.to_vec());\n }\n }\n Err(e) => {\n warn!(\"Failed to decode agent message: {}\", e);\n }\n }\n }\n Ok(Message::Close(_)) => {\n info!(\"Agent disconnected: {}\", agent_id);\n break;\n }\n Ok(Message::Ping(data)) => {\n // Pong is handled automatically by axum\n let _ = data;\n }\n Ok(_) => {}\n Err(e) => {\n error!(\"WebSocket error from agent {}: {}\", agent_id, e);\n break;\n }\n }\n }\n\n // Cleanup\n input_forward.abort();\n sessions.remove_session(session_id).await;\n info!(\"Session {} ended\", session_id);\n}\n\n/// Handle a viewer WebSocket connection\nasync fn handle_viewer_connection(\n socket: WebSocket,\n sessions: SessionManager,\n session_id_str: String,\n) {\n // Parse session ID\n let session_id = match uuid::Uuid::parse_str(&session_id_str) {\n Ok(id) => id,\n Err(_) => {\n warn!(\"Invalid session ID: {}\", session_id_str);\n return;\n }\n };\n\n // Join the session\n let (mut frame_rx, input_tx) = match sessions.join_session(session_id).await {\n Some(channels) => channels,\n None => {\n warn!(\"Session not found: {}\", session_id);\n return;\n }\n };\n\n info!(\"Viewer joined session: {}\", session_id);\n\n let (mut ws_sender, mut ws_receiver) = socket.split();\n\n // Task to forward frames from agent to this viewer\n let frame_forward = tokio::spawn(async move {\n while let Ok(frame_data) = frame_rx.recv().await {\n if ws_sender.send(Message::Binary(frame_data.into())).await.is_err() {\n break;\n }\n }\n });\n\n // Main loop: receive input from viewer and forward to agent\n while let Some(msg) = ws_receiver.next().await {\n match msg {\n Ok(Message::Binary(data)) => {\n // Try to decode as protobuf message\n match proto::Message::decode(data.as_ref()) {\n Ok(proto_msg) => {\n match &proto_msg.payload {\n Some(proto::message::Payload::MouseEvent(_)) |\n Some(proto::message::Payload::KeyEvent(_)) => {\n // Forward input to agent\n let _ = input_tx.send(data.to_vec()).await;\n }\n _ => {}\n }\n }\n Err(e) => {\n warn!(\"Failed to decode viewer message: {}\", e);\n }\n }\n }\n Ok(Message::Close(_)) => {\n info!(\"Viewer disconnected from session: {}\", session_id);\n break;\n }\n Ok(_) => {}\n Err(e) => {\n error!(\"WebSocket error from viewer: {}\", e);\n break;\n }\n }\n }\n\n // Cleanup\n frame_forward.abort();\n sessions.leave_session(session_id).await;\n info!(\"Viewer left session: {}\", session_id);\n}\n","numLines":195,"startLine":1,"totalLines":195}},"sourceToolAssistantUUID":"0b0b5f5c-9c59-459d-95e1-1371e52807d4"}
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{"parentUuid":"0f6ab348-394c-4f58-9a8e-851ad2608912","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DXdEpZpBjqWm8agFCExdcx","type":"tool_result","content":" 1→[package]\n 2→name = \"guruconnect-agent\"\n 3→version = \"0.1.0\"\n 4→edition = \"2021\"\n 5→authors = [\"AZ Computer Guru\"]\n 6→description = \"GuruConnect Remote Desktop Agent\"\n 7→\n 8→[dependencies]\n 9→# Async runtime\n 10→tokio = { version = \"1\", features = [\"full\", \"sync\", \"time\", \"rt-multi-thread\", \"macros\"] }\n 11→\n 12→# WebSocket\n 13→tokio-tungstenite = { version = \"0.24\", features = [\"native-tls\"] }\n 14→futures-util = \"0.3\"\n 15→\n 16→# Compression\n 17→zstd = \"0.13\"\n 18→\n 19→# Protocol (protobuf)\n 20→prost = \"0.13\"\n 21→prost-types = \"0.13\"\n 22→bytes = \"1\"\n 23→\n 24→# Serialization\n 25→serde = { version = \"1\", features = [\"derive\"] }\n 26→serde_json = \"1\"\n 27→\n 28→# Logging\n 29→tracing = \"0.1\"\n 30→tracing-subscriber = { version = \"0.3\", features = [\"env-filter\"] }\n 31→\n 32→# Error handling\n 33→anyhow = \"1\"\n 34→thiserror = \"1\"\n 35→\n 36→# Configuration\n 37→toml = \"0.8\"\n 38→\n 39→# Crypto\n 40→ring = \"0.17\"\n 41→\n 42→# UUID\n 43→uuid = { version = \"1\", features = [\"v4\", \"serde\"] }\n 44→\n 45→# Time\n 46→chrono = { version = \"0.4\", features = [\"serde\"] }\n 47→\n 48→# Hostname\n 49→hostname = \"0.4\"\n 50→\n 51→# URL encoding\n 52→urlencoding = \"2\"\n 53→\n 54→[target.'cfg(windows)'.dependencies]\n 55→# Windows APIs for screen capture and input\n 56→windows = { version = \"0.58\", features = [\n 57→ \"Win32_Foundation\",\n 58→ \"Win32_Graphics_Gdi\",\n 59→ \"Win32_Graphics_Dxgi\",\n 60→ \"Win32_Graphics_Dxgi_Common\",\n 61→ \"Win32_Graphics_Direct3D\",\n 62→ \"Win32_Graphics_Direct3D11\",\n 63→ \"Win32_UI_Input_KeyboardAndMouse\",\n 64→ \"Win32_UI_WindowsAndMessaging\",\n 65→ \"Win32_System_LibraryLoader\",\n 66→ \"Win32_System_Threading\",\n 67→ \"Win32_Security\",\n 68→]}\n 69→\n 70→# Windows service support\n 71→windows-service = \"0.7\"\n 72→\n 73→[build-dependencies]\n 74→prost-build = \"0.13\"\n 75→\n 76→[profile.release]\n 77→lto = true\n 78→codegen-units = 1\n 79→opt-level = \"z\"\n 80→strip = true\n 81→panic = \"abort\"\n 82→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"0112dc94-65d2-4cd7-aa33-5edfb7e841fb","timestamp":"2026-01-11T22:38:56.450Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\agent\\Cargo.toml","content":"[package]\nname = \"guruconnect-agent\"\nversion = \"0.1.0\"\nedition = \"2021\"\nauthors = [\"AZ Computer Guru\"]\ndescription = \"GuruConnect Remote Desktop Agent\"\n\n[dependencies]\n# Async runtime\ntokio = { version = \"1\", features = [\"full\", \"sync\", \"time\", \"rt-multi-thread\", \"macros\"] }\n\n# WebSocket\ntokio-tungstenite = { version = \"0.24\", features = [\"native-tls\"] }\nfutures-util = \"0.3\"\n\n# Compression\nzstd = \"0.13\"\n\n# Protocol (protobuf)\nprost = \"0.13\"\nprost-types = \"0.13\"\nbytes = \"1\"\n\n# Serialization\nserde = { version = \"1\", features = [\"derive\"] }\nserde_json = \"1\"\n\n# Logging\ntracing = \"0.1\"\ntracing-subscriber = { version = \"0.3\", features = [\"env-filter\"] }\n\n# Error handling\nanyhow = \"1\"\nthiserror = \"1\"\n\n# Configuration\ntoml = \"0.8\"\n\n# Crypto\nring = \"0.17\"\n\n# UUID\nuuid = { version = \"1\", features = [\"v4\", \"serde\"] }\n\n# Time\nchrono = { version = \"0.4\", features = [\"serde\"] }\n\n# Hostname\nhostname = \"0.4\"\n\n# URL encoding\nurlencoding = \"2\"\n\n[target.'cfg(windows)'.dependencies]\n# Windows APIs for screen capture and input\nwindows = { version = \"0.58\", features = [\n \"Win32_Foundation\",\n \"Win32_Graphics_Gdi\",\n \"Win32_Graphics_Dxgi\",\n \"Win32_Graphics_Dxgi_Common\",\n \"Win32_Graphics_Direct3D\",\n \"Win32_Graphics_Direct3D11\",\n \"Win32_UI_Input_KeyboardAndMouse\",\n \"Win32_UI_WindowsAndMessaging\",\n \"Win32_System_LibraryLoader\",\n \"Win32_System_Threading\",\n \"Win32_Security\",\n]}\n\n# Windows service support\nwindows-service = \"0.7\"\n\n[build-dependencies]\nprost-build = \"0.13\"\n\n[profile.release]\nlto = true\ncodegen-units = 1\nopt-level = \"z\"\nstrip = true\npanic = \"abort\"\n","numLines":82,"startLine":1,"totalLines":82}},"sourceToolAssistantUUID":"0f6ab348-394c-4f58-9a8e-851ad2608912"}
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{"parentUuid":"527e77f3-e94b-4b9d-ac7b-c9e92f191e88","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BJfbFNyaUoafCDVRBURkAT","type":"tool_result","content":" 1→[package]\n 2→name = \"guruconnect-server\"\n 3→version = \"0.1.0\"\n 4→edition = \"2021\"\n 5→authors = [\"AZ Computer Guru\"]\n 6→description = \"GuruConnect Remote Desktop Relay Server\"\n 7→\n 8→[dependencies]\n 9→# Async runtime\n 10→tokio = { version = \"1\", features = [\"full\", \"sync\", \"time\", \"rt-multi-thread\", \"macros\"] }\n 11→\n 12→# Web framework\n 13→axum = { version = \"0.7\", features = [\"ws\", \"macros\"] }\n 14→tower = \"0.5\"\n 15→tower-http = { version = \"0.6\", features = [\"cors\", \"trace\", \"compression-gzip\"] }\n 16→\n 17→# WebSocket\n 18→futures-util = \"0.3\"\n 19→\n 20→# Database\n 21→sqlx = { version = \"0.8\", features = [\"runtime-tokio\", \"postgres\", \"uuid\", \"chrono\", \"json\"] }\n 22→\n 23→# Protocol (protobuf)\n 24→prost = \"0.13\"\n 25→prost-types = \"0.13\"\n 26→bytes = \"1\"\n 27→\n 28→# Serialization\n 29→serde = { version = \"1\", features = [\"derive\"] }\n 30→serde_json = \"1\"\n 31→\n 32→# Logging\n 33→tracing = \"0.1\"\n 34→tracing-subscriber = { version = \"0.3\", features = [\"env-filter\"] }\n 35→\n 36→# Error handling\n 37→anyhow = \"1\"\n 38→thiserror = \"1\"\n 39→\n 40→# Configuration\n 41→toml = \"0.8\"\n 42→\n 43→# Auth\n 44→jsonwebtoken = \"9\"\n 45→argon2 = \"0.5\"\n 46→\n 47→# Crypto\n 48→ring = \"0.17\"\n 49→\n 50→# UUID\n 51→uuid = { version = \"1\", features = [\"v4\", \"serde\"] }\n 52→\n 53→# Time\n 54→chrono = { version = \"0.4\", features = [\"serde\"] }\n 55→\n 56→[build-dependencies]\n 57→prost-build = \"0.13\"\n 58→\n 59→[profile.release]\n 60→lto = true\n 61→codegen-units = 1\n 62→strip = true\n 63→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"feee4780-43ce-4604-a050-2a0f56101e62","timestamp":"2026-01-11T22:38:56.450Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\server\\Cargo.toml","content":"[package]\nname = \"guruconnect-server\"\nversion = \"0.1.0\"\nedition = \"2021\"\nauthors = [\"AZ Computer Guru\"]\ndescription = \"GuruConnect Remote Desktop Relay Server\"\n\n[dependencies]\n# Async runtime\ntokio = { version = \"1\", features = [\"full\", \"sync\", \"time\", \"rt-multi-thread\", \"macros\"] }\n\n# Web framework\naxum = { version = \"0.7\", features = [\"ws\", \"macros\"] }\ntower = \"0.5\"\ntower-http = { version = \"0.6\", features = [\"cors\", \"trace\", \"compression-gzip\"] }\n\n# WebSocket\nfutures-util = \"0.3\"\n\n# Database\nsqlx = { version = \"0.8\", features = [\"runtime-tokio\", \"postgres\", \"uuid\", \"chrono\", \"json\"] }\n\n# Protocol (protobuf)\nprost = \"0.13\"\nprost-types = \"0.13\"\nbytes = \"1\"\n\n# Serialization\nserde = { version = \"1\", features = [\"derive\"] }\nserde_json = \"1\"\n\n# Logging\ntracing = \"0.1\"\ntracing-subscriber = { version = \"0.3\", features = [\"env-filter\"] }\n\n# Error handling\nanyhow = \"1\"\nthiserror = \"1\"\n\n# Configuration\ntoml = \"0.8\"\n\n# Auth\njsonwebtoken = \"9\"\nargon2 = \"0.5\"\n\n# Crypto\nring = \"0.17\"\n\n# UUID\nuuid = { version = \"1\", features = [\"v4\", \"serde\"] }\n\n# Time\nchrono = { version = \"0.4\", features = [\"serde\"] }\n\n[build-dependencies]\nprost-build = \"0.13\"\n\n[profile.release]\nlto = true\ncodegen-units = 1\nstrip = true\n","numLines":63,"startLine":1,"totalLines":63}},"sourceToolAssistantUUID":"527e77f3-e94b-4b9d-ac7b-c9e92f191e88"}
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{"parentUuid":"feee4780-43ce-4604-a050-2a0f56101e62","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01TjXCuNcwzmZ8ddLxe3En8K","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"I have a good understanding of the project now. Let me look at more files to understand more potential performance bottlenecks:\n\n1. Dashboard frontend code (React)\n2. Session management\n3. The capture module\n4. Transport websocket\n\nLet me read more files to find additional performance opportunities.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":12087,"cache_read_input_tokens":23610,"cache_creation":{"ephemeral_5m_input_tokens":12087,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard"}},"requestId":"req_011CX2PnD4Dss4f3PABfqFTf","type":"assistant","uuid":"6f66aed6-1973-4d4c-9f40-7bce1c534b85","timestamp":"2026-01-11T22:39:07.362Z"}
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{"parentUuid":"6f66aed6-1973-4d4c-9f40-7bce1c534b85","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01TjXCuNcwzmZ8ddLxe3En8K","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read more files to analyze the frontend dashboard and additional backend code:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":12087,"cache_read_input_tokens":23610,"cache_creation":{"ephemeral_5m_input_tokens":12087,"ephemeral_1h_input_tokens":0},"output_tokens":301,"service_tier":"standard"}},"requestId":"req_011CX2PnD4Dss4f3PABfqFTf","type":"assistant","uuid":"c60d119f-cf9e-4389-ae26-9e6399f6f715","timestamp":"2026-01-11T22:39:09.578Z"}
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{"parentUuid":"c60d119f-cf9e-4389-ae26-9e6399f6f715","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01TjXCuNcwzmZ8ddLxe3En8K","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017Ks7XmrEcFk6chgdsNCZuK","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\package.json"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":12087,"cache_read_input_tokens":23610,"cache_creation":{"ephemeral_5m_input_tokens":12087,"ephemeral_1h_input_tokens":0},"output_tokens":301,"service_tier":"standard"}},"requestId":"req_011CX2PnD4Dss4f3PABfqFTf","type":"assistant","uuid":"a72efe1b-3bb6-4b82-9478-f5239c320378","timestamp":"2026-01-11T22:39:11.329Z"}
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{"parentUuid":"a72efe1b-3bb6-4b82-9478-f5239c320378","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01TjXCuNcwzmZ8ddLxe3En8K","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Cb7qnNNJMj9KHuJQq9y7mv","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\server\\src\\session\\mod.rs"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":12087,"cache_read_input_tokens":23610,"cache_creation":{"ephemeral_5m_input_tokens":12087,"ephemeral_1h_input_tokens":0},"output_tokens":301,"service_tier":"standard"}},"requestId":"req_011CX2PnD4Dss4f3PABfqFTf","type":"assistant","uuid":"474dee5b-16ef-45ea-a91b-9edc93a51280","timestamp":"2026-01-11T22:39:13.019Z"}
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{"parentUuid":"474dee5b-16ef-45ea-a91b-9edc93a51280","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01TjXCuNcwzmZ8ddLxe3En8K","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KjHUsWH2LamP89rA7767d3","name":"Glob","input":{"pattern":"dashboard/src/**/*.tsx","path":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":12087,"cache_read_input_tokens":23610,"cache_creation":{"ephemeral_5m_input_tokens":12087,"ephemeral_1h_input_tokens":0},"output_tokens":301,"service_tier":"standard"}},"requestId":"req_011CX2PnD4Dss4f3PABfqFTf","type":"assistant","uuid":"ef1eeb2a-79b0-4bd1-810e-24592fcd7f45","timestamp":"2026-01-11T22:39:14.759Z"}
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{"parentUuid":"a72efe1b-3bb6-4b82-9478-f5239c320378","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017Ks7XmrEcFk6chgdsNCZuK","type":"tool_result","content":" 1→{\n 2→ \"name\": \"guruconnect-dashboard\",\n 3→ \"private\": true,\n 4→ \"version\": \"0.1.0\",\n 5→ \"type\": \"module\",\n 6→ \"description\": \"GuruConnect Remote Desktop Admin Dashboard\",\n 7→ \"author\": \"AZ Computer Guru\",\n 8→ \"scripts\": {\n 9→ \"dev\": \"vite\",\n 10→ \"build\": \"tsc -b && vite build\",\n 11→ \"lint\": \"eslint .\",\n 12→ \"preview\": \"vite preview\"\n 13→ },\n 14→ \"dependencies\": {\n 15→ \"@tanstack/react-query\": \"^5.90.12\",\n 16→ \"axios\": \"^1.13.2\",\n 17→ \"clsx\": \"^2.1.1\",\n 18→ \"fzstd\": \"^0.1.1\",\n 19→ \"lucide-react\": \"^0.561.0\",\n 20→ \"react\": \"^19.2.0\",\n 21→ \"react-dom\": \"^19.2.0\",\n 22→ \"react-router-dom\": \"^7.10.1\",\n 23→ \"tailwind-merge\": \"^3.4.0\"\n 24→ },\n 25→ \"devDependencies\": {\n 26→ \"@eslint/js\": \"^9.39.1\",\n 27→ \"@tailwindcss/vite\": \"^4.1.18\",\n 28→ \"@types/node\": \"^24.10.1\",\n 29→ \"@types/react\": \"^19.2.5\",\n 30→ \"@types/react-dom\": \"^19.2.3\",\n 31→ \"@vitejs/plugin-react\": \"^5.1.1\",\n 32→ \"autoprefixer\": \"^10.4.22\",\n 33→ \"eslint\": \"^9.39.1\",\n 34→ \"eslint-plugin-react-hooks\": \"^7.0.1\",\n 35→ \"eslint-plugin-react-refresh\": \"^0.4.24\",\n 36→ \"globals\": \"^16.5.0\",\n 37→ \"postcss\": \"^8.5.6\",\n 38→ \"tailwindcss\": \"^4.1.18\",\n 39→ \"typescript\": \"~5.9.3\",\n 40→ \"typescript-eslint\": \"^8.46.4\",\n 41→ \"vite\": \"^7.2.4\"\n 42→ }\n 43→}\n 44→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"3e8972f3-b708-4f39-9e78-f146d804d66e","timestamp":"2026-01-11T22:41:13.403Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\package.json","content":"{\n \"name\": \"guruconnect-dashboard\",\n \"private\": true,\n \"version\": \"0.1.0\",\n \"type\": \"module\",\n \"description\": \"GuruConnect Remote Desktop Admin Dashboard\",\n \"author\": \"AZ Computer Guru\",\n \"scripts\": {\n \"dev\": \"vite\",\n \"build\": \"tsc -b && vite build\",\n \"lint\": \"eslint .\",\n \"preview\": \"vite preview\"\n },\n \"dependencies\": {\n \"@tanstack/react-query\": \"^5.90.12\",\n \"axios\": \"^1.13.2\",\n \"clsx\": \"^2.1.1\",\n \"fzstd\": \"^0.1.1\",\n \"lucide-react\": \"^0.561.0\",\n \"react\": \"^19.2.0\",\n \"react-dom\": \"^19.2.0\",\n \"react-router-dom\": \"^7.10.1\",\n \"tailwind-merge\": \"^3.4.0\"\n },\n \"devDependencies\": {\n \"@eslint/js\": \"^9.39.1\",\n \"@tailwindcss/vite\": \"^4.1.18\",\n \"@types/node\": \"^24.10.1\",\n \"@types/react\": \"^19.2.5\",\n \"@types/react-dom\": \"^19.2.3\",\n \"@vitejs/plugin-react\": \"^5.1.1\",\n \"autoprefixer\": \"^10.4.22\",\n \"eslint\": \"^9.39.1\",\n \"eslint-plugin-react-hooks\": \"^7.0.1\",\n \"eslint-plugin-react-refresh\": \"^0.4.24\",\n \"globals\": \"^16.5.0\",\n \"postcss\": \"^8.5.6\",\n \"tailwindcss\": \"^4.1.18\",\n \"typescript\": \"~5.9.3\",\n \"typescript-eslint\": \"^8.46.4\",\n \"vite\": \"^7.2.4\"\n }\n}\n","numLines":44,"startLine":1,"totalLines":44}},"sourceToolAssistantUUID":"a72efe1b-3bb6-4b82-9478-f5239c320378"}
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{"parentUuid":"474dee5b-16ef-45ea-a91b-9edc93a51280","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Cb7qnNNJMj9KHuJQq9y7mv","type":"tool_result","content":" 1→//! Session management for GuruConnect\n 2→//!\n 3→//! Manages active remote desktop sessions, tracking which agents\n 4→//! are connected and which viewers are watching them.\n 5→\n 6→use std::collections::HashMap;\n 7→use std::sync::Arc;\n 8→use tokio::sync::{broadcast, RwLock};\n 9→use uuid::Uuid;\n 10→\n 11→/// Unique identifier for a session\n 12→pub type SessionId = Uuid;\n 13→\n 14→/// Unique identifier for an agent\n 15→pub type AgentId = String;\n 16→\n 17→/// Session state\n 18→#[derive(Debug, Clone)]\n 19→pub struct Session {\n 20→ pub id: SessionId,\n 21→ pub agent_id: AgentId,\n 22→ pub agent_name: String,\n 23→ pub started_at: chrono::DateTime<chrono::Utc>,\n 24→ pub viewer_count: usize,\n 25→}\n 26→\n 27→/// Channel for sending frames from agent to viewers\n 28→pub type FrameSender = broadcast::Sender<Vec<u8>>;\n 29→pub type FrameReceiver = broadcast::Receiver<Vec<u8>>;\n 30→\n 31→/// Channel for sending input events from viewer to agent\n 32→pub type InputSender = tokio::sync::mpsc::Sender<Vec<u8>>;\n 33→pub type InputReceiver = tokio::sync::mpsc::Receiver<Vec<u8>>;\n 34→\n 35→/// Internal session data with channels\n 36→struct SessionData {\n 37→ info: Session,\n 38→ /// Channel for video frames (agent -> viewers)\n 39→ frame_tx: FrameSender,\n 40→ /// Channel for input events (viewer -> agent)\n 41→ input_tx: InputSender,\n 42→ input_rx: Option<InputReceiver>,\n 43→}\n 44→\n 45→/// Manages all active sessions\n 46→#[derive(Clone)]\n 47→pub struct SessionManager {\n 48→ sessions: Arc<RwLock<HashMap<SessionId, SessionData>>>,\n 49→ agents: Arc<RwLock<HashMap<AgentId, SessionId>>>,\n 50→}\n 51→\n 52→impl SessionManager {\n 53→ pub fn new() -> Self {\n 54→ Self {\n 55→ sessions: Arc::new(RwLock::new(HashMap::new())),\n 56→ agents: Arc::new(RwLock::new(HashMap::new())),\n 57→ }\n 58→ }\n 59→\n 60→ /// Register a new agent and create a session\n 61→ pub async fn register_agent(&self, agent_id: AgentId, agent_name: String) -> (SessionId, FrameSender, InputReceiver) {\n 62→ let session_id = Uuid::new_v4();\n 63→\n 64→ // Create channels\n 65→ let (frame_tx, _) = broadcast::channel(16); // Buffer 16 frames\n 66→ let (input_tx, input_rx) = tokio::sync::mpsc::channel(64); // Buffer 64 input events\n 67→\n 68→ let session = Session {\n 69→ id: session_id,\n 70→ agent_id: agent_id.clone(),\n 71→ agent_name,\n 72→ started_at: chrono::Utc::now(),\n 73→ viewer_count: 0,\n 74→ };\n 75→\n 76→ let session_data = SessionData {\n 77→ info: session,\n 78→ frame_tx: frame_tx.clone(),\n 79→ input_tx,\n 80→ input_rx: None, // Will be taken by the agent handler\n 81→ };\n 82→\n 83→ let mut sessions = self.sessions.write().await;\n 84→ sessions.insert(session_id, session_data);\n 85→\n 86→ let mut agents = self.agents.write().await;\n 87→ agents.insert(agent_id, session_id);\n 88→\n 89→ (session_id, frame_tx, input_rx)\n 90→ }\n 91→\n 92→ /// Get a session by agent ID\n 93→ pub async fn get_session_by_agent(&self, agent_id: &str) -> Option<Session> {\n 94→ let agents = self.agents.read().await;\n 95→ let session_id = agents.get(agent_id)?;\n 96→\n 97→ let sessions = self.sessions.read().await;\n 98→ sessions.get(session_id).map(|s| s.info.clone())\n 99→ }\n 100→\n 101→ /// Get a session by session ID\n 102→ pub async fn get_session(&self, session_id: SessionId) -> Option<Session> {\n 103→ let sessions = self.sessions.read().await;\n 104→ sessions.get(&session_id).map(|s| s.info.clone())\n 105→ }\n 106→\n 107→ /// Join a session as a viewer\n 108→ pub async fn join_session(&self, session_id: SessionId) -> Option<(FrameReceiver, InputSender)> {\n 109→ let mut sessions = self.sessions.write().await;\n 110→ let session_data = sessions.get_mut(&session_id)?;\n 111→\n 112→ session_data.info.viewer_count += 1;\n 113→\n 114→ let frame_rx = session_data.frame_tx.subscribe();\n 115→ let input_tx = session_data.input_tx.clone();\n 116→\n 117→ Some((frame_rx, input_tx))\n 118→ }\n 119→\n 120→ /// Leave a session as a viewer\n 121→ pub async fn leave_session(&self, session_id: SessionId) {\n 122→ let mut sessions = self.sessions.write().await;\n 123→ if let Some(session_data) = sessions.get_mut(&session_id) {\n 124→ session_data.info.viewer_count = session_data.info.viewer_count.saturating_sub(1);\n 125→ }\n 126→ }\n 127→\n 128→ /// Remove a session (when agent disconnects)\n 129→ pub async fn remove_session(&self, session_id: SessionId) {\n 130→ let mut sessions = self.sessions.write().await;\n 131→ if let Some(session_data) = sessions.remove(&session_id) {\n 132→ let mut agents = self.agents.write().await;\n 133→ agents.remove(&session_data.info.agent_id);\n 134→ }\n 135→ }\n 136→\n 137→ /// List all active sessions\n 138→ pub async fn list_sessions(&self) -> Vec<Session> {\n 139→ let sessions = self.sessions.read().await;\n 140→ sessions.values().map(|s| s.info.clone()).collect()\n 141→ }\n 142→}\n 143→\n 144→impl Default for SessionManager {\n 145→ fn default() -> Self {\n 146→ Self::new()\n 147→ }\n 148→}\n 149→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"1f6a4a01-4cd4-4d9e-93da-9916de71471d","timestamp":"2026-01-11T22:41:13.404Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\server\\src\\session\\mod.rs","content":"//! Session management for GuruConnect\n//!\n//! Manages active remote desktop sessions, tracking which agents\n//! are connected and which viewers are watching them.\n\nuse std::collections::HashMap;\nuse std::sync::Arc;\nuse tokio::sync::{broadcast, RwLock};\nuse uuid::Uuid;\n\n/// Unique identifier for a session\npub type SessionId = Uuid;\n\n/// Unique identifier for an agent\npub type AgentId = String;\n\n/// Session state\n#[derive(Debug, Clone)]\npub struct Session {\n pub id: SessionId,\n pub agent_id: AgentId,\n pub agent_name: String,\n pub started_at: chrono::DateTime<chrono::Utc>,\n pub viewer_count: usize,\n}\n\n/// Channel for sending frames from agent to viewers\npub type FrameSender = broadcast::Sender<Vec<u8>>;\npub type FrameReceiver = broadcast::Receiver<Vec<u8>>;\n\n/// Channel for sending input events from viewer to agent\npub type InputSender = tokio::sync::mpsc::Sender<Vec<u8>>;\npub type InputReceiver = tokio::sync::mpsc::Receiver<Vec<u8>>;\n\n/// Internal session data with channels\nstruct SessionData {\n info: Session,\n /// Channel for video frames (agent -> viewers)\n frame_tx: FrameSender,\n /// Channel for input events (viewer -> agent)\n input_tx: InputSender,\n input_rx: Option<InputReceiver>,\n}\n\n/// Manages all active sessions\n#[derive(Clone)]\npub struct SessionManager {\n sessions: Arc<RwLock<HashMap<SessionId, SessionData>>>,\n agents: Arc<RwLock<HashMap<AgentId, SessionId>>>,\n}\n\nimpl SessionManager {\n pub fn new() -> Self {\n Self {\n sessions: Arc::new(RwLock::new(HashMap::new())),\n agents: Arc::new(RwLock::new(HashMap::new())),\n }\n }\n\n /// Register a new agent and create a session\n pub async fn register_agent(&self, agent_id: AgentId, agent_name: String) -> (SessionId, FrameSender, InputReceiver) {\n let session_id = Uuid::new_v4();\n\n // Create channels\n let (frame_tx, _) = broadcast::channel(16); // Buffer 16 frames\n let (input_tx, input_rx) = tokio::sync::mpsc::channel(64); // Buffer 64 input events\n\n let session = Session {\n id: session_id,\n agent_id: agent_id.clone(),\n agent_name,\n started_at: chrono::Utc::now(),\n viewer_count: 0,\n };\n\n let session_data = SessionData {\n info: session,\n frame_tx: frame_tx.clone(),\n input_tx,\n input_rx: None, // Will be taken by the agent handler\n };\n\n let mut sessions = self.sessions.write().await;\n sessions.insert(session_id, session_data);\n\n let mut agents = self.agents.write().await;\n agents.insert(agent_id, session_id);\n\n (session_id, frame_tx, input_rx)\n }\n\n /// Get a session by agent ID\n pub async fn get_session_by_agent(&self, agent_id: &str) -> Option<Session> {\n let agents = self.agents.read().await;\n let session_id = agents.get(agent_id)?;\n\n let sessions = self.sessions.read().await;\n sessions.get(session_id).map(|s| s.info.clone())\n }\n\n /// Get a session by session ID\n pub async fn get_session(&self, session_id: SessionId) -> Option<Session> {\n let sessions = self.sessions.read().await;\n sessions.get(&session_id).map(|s| s.info.clone())\n }\n\n /// Join a session as a viewer\n pub async fn join_session(&self, session_id: SessionId) -> Option<(FrameReceiver, InputSender)> {\n let mut sessions = self.sessions.write().await;\n let session_data = sessions.get_mut(&session_id)?;\n\n session_data.info.viewer_count += 1;\n\n let frame_rx = session_data.frame_tx.subscribe();\n let input_tx = session_data.input_tx.clone();\n\n Some((frame_rx, input_tx))\n }\n\n /// Leave a session as a viewer\n pub async fn leave_session(&self, session_id: SessionId) {\n let mut sessions = self.sessions.write().await;\n if let Some(session_data) = sessions.get_mut(&session_id) {\n session_data.info.viewer_count = session_data.info.viewer_count.saturating_sub(1);\n }\n }\n\n /// Remove a session (when agent disconnects)\n pub async fn remove_session(&self, session_id: SessionId) {\n let mut sessions = self.sessions.write().await;\n if let Some(session_data) = sessions.remove(&session_id) {\n let mut agents = self.agents.write().await;\n agents.remove(&session_data.info.agent_id);\n }\n }\n\n /// List all active sessions\n pub async fn list_sessions(&self) -> Vec<Session> {\n let sessions = self.sessions.read().await;\n sessions.values().map(|s| s.info.clone()).collect()\n }\n}\n\nimpl Default for SessionManager {\n fn default() -> Self {\n Self::new()\n }\n}\n","numLines":149,"startLine":1,"totalLines":149}},"sourceToolAssistantUUID":"474dee5b-16ef-45ea-a91b-9edc93a51280"}
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{"parentUuid":"ef1eeb2a-79b0-4bd1-810e-24592fcd7f45","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KjHUsWH2LamP89rA7767d3","type":"tool_result","content":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\SessionControls.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\Button.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\Card.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\Input.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\Layout.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\hooks\\useAuth.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Login.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Register.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\SessionView.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Settings.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\RemoteViewer.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Dashboard.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Sessions.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Agents.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Users.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Organizations.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\ApiKeys.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\App.tsx\nC:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\main.tsx"}]},"uuid":"61a1d950-7aa2-421b-8aeb-0c9335bf08e9","timestamp":"2026-01-11T22:41:16.088Z","toolUseResult":{"filenames":["C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\SessionControls.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\Button.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\Card.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\Input.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\Layout.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\hooks\\useAuth.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Login.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Register.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\SessionView.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Settings.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\RemoteViewer.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Dashboard.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Sessions.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Agents.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Users.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\Organizations.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\pages\\ApiKeys.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\App.tsx","C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\main.tsx"],"durationMs":3325,"numFiles":19,"truncated":false},"sourceToolAssistantUUID":"ef1eeb2a-79b0-4bd1-810e-24592fcd7f45"}
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{"parentUuid":"61a1d950-7aa2-421b-8aeb-0c9335bf08e9","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01GysPgCwWyHrqqjKK7L7oqV","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now let me read the RemoteViewer component, which is likely the most performance-critical part of the dashboard since it handles video rendering:","signature":"EroCCkYICxgCKkBQv0MXJWYrHtAumGvr/7jtUJyFteePLS94nbbVSqr5zd5IpzPH2q3St7IIdSun3tLJ88AsyWD4S4I6OoNPzQC0EgyX1dlkW2aNodzz7B0aDCppdB/AZbieJ/pMLyIwByKankJoCfThYl7ygmgKNMgbRWMANpvPcaGGGiBQZx/n8bnQ7QotpRInPEvS2wAGKqEBcmcZfC7Y95kt4R2b3Go3mdcpbFgvDvZrBaMhqq1vXsewGIkcDyZIsxleQ+jL6wC7vSrHbrmUr9WekqaNQWP0TcKhJtQ3Mu9O6i7YIuzH053pD5ka1K+ed5aJ2RJxtgWn6G8tcWjTw1NvJelHxe6wRJPnNl3nk/GptZRZ0bHrGWirhLJfstdGGMJth6S6IZsieLNwvNjnI3Dem3NNj/ielaAYAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3657,"cache_read_input_tokens":35697,"cache_creation":{"ephemeral_5m_input_tokens":3657,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard"}},"requestId":"req_011CX2PxEECGqJyfQX99P3Wq","type":"assistant","uuid":"821dd96d-771f-4b3a-9b53-aa603fdf372d","timestamp":"2026-01-11T22:41:22.125Z"}
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{"parentUuid":"821dd96d-771f-4b3a-9b53-aa603fdf372d","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01GysPgCwWyHrqqjKK7L7oqV","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the critical frontend components for rendering analysis:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3657,"cache_read_input_tokens":35697,"cache_creation":{"ephemeral_5m_input_tokens":3657,"ephemeral_1h_input_tokens":0},"output_tokens":259,"service_tier":"standard"}},"requestId":"req_011CX2PxEECGqJyfQX99P3Wq","type":"assistant","uuid":"778ae2e9-640c-44a0-8cbf-7de744101ffa","timestamp":"2026-01-11T22:41:23.530Z"}
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{"parentUuid":"778ae2e9-640c-44a0-8cbf-7de744101ffa","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01GysPgCwWyHrqqjKK7L7oqV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XoVQWiavVTSC2wHnrYU84Y","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\RemoteViewer.tsx"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3657,"cache_read_input_tokens":35697,"cache_creation":{"ephemeral_5m_input_tokens":3657,"ephemeral_1h_input_tokens":0},"output_tokens":259,"service_tier":"standard"}},"requestId":"req_011CX2PxEECGqJyfQX99P3Wq","type":"assistant","uuid":"817ce107-b63c-483a-a110-ddce504717d4","timestamp":"2026-01-11T22:41:25.155Z"}
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{"parentUuid":"817ce107-b63c-483a-a110-ddce504717d4","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01GysPgCwWyHrqqjKK7L7oqV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MLBd9PFE2w23Fs7q6sTnXt","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\agent\\src\\capture\\mod.rs"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3657,"cache_read_input_tokens":35697,"cache_creation":{"ephemeral_5m_input_tokens":3657,"ephemeral_1h_input_tokens":0},"output_tokens":259,"service_tier":"standard"}},"requestId":"req_011CX2PxEECGqJyfQX99P3Wq","type":"assistant","uuid":"9bbf854a-a3f7-4a7f-b7d6-2b6236d05cb1","timestamp":"2026-01-11T22:41:27.064Z"}
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{"parentUuid":"9bbf854a-a3f7-4a7f-b7d6-2b6236d05cb1","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01GysPgCwWyHrqqjKK7L7oqV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Jx5Ri6ntL1V1SDsnQwZdCL","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\agent\\src\\transport\\websocket.rs"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3657,"cache_read_input_tokens":35697,"cache_creation":{"ephemeral_5m_input_tokens":3657,"ephemeral_1h_input_tokens":0},"output_tokens":259,"service_tier":"standard"}},"requestId":"req_011CX2PxEECGqJyfQX99P3Wq","type":"assistant","uuid":"29d18b39-a0d1-42a2-823f-7acfd6fd8620","timestamp":"2026-01-11T22:41:28.909Z"}
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{"parentUuid":"817ce107-b63c-483a-a110-ddce504717d4","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoVQWiavVTSC2wHnrYU84Y","type":"tool_result","content":" 1→/**\n 2→ * RemoteViewer Component\n 3→ *\n 4→ * Canvas-based remote desktop viewer that connects to a GuruConnect\n 5→ * agent via the relay server. Handles frame rendering and input capture.\n 6→ */\n 7→\n 8→import React, { useRef, useEffect, useCallback, useState } from 'react';\n 9→import { useRemoteSession, createMouseEvent, createKeyEvent } from '../hooks/useRemoteSession';\n 10→import type { VideoFrame, ConnectionStatus } from '../types/protocol';\n 11→\n 12→interface RemoteViewerProps {\n 13→ serverUrl: string;\n 14→ sessionId: string;\n 15→ className?: string;\n 16→ onStatusChange?: (status: ConnectionStatus) => void;\n 17→ autoConnect?: boolean;\n 18→ showStatusBar?: boolean;\n 19→}\n 20→\n 21→export const RemoteViewer: React.FC<RemoteViewerProps> = ({\n 22→ serverUrl,\n 23→ sessionId,\n 24→ className = '',\n 25→ onStatusChange,\n 26→ autoConnect = true,\n 27→ showStatusBar = true,\n 28→}) => {\n 29→ const canvasRef = useRef<HTMLCanvasElement>(null);\n 30→ const containerRef = useRef<HTMLDivElement>(null);\n 31→ const ctxRef = useRef<CanvasRenderingContext2D | null>(null);\n 32→\n 33→ // Display dimensions from received frames\n 34→ const [displaySize, setDisplaySize] = useState({ width: 1920, height: 1080 });\n 35→\n 36→ // Frame buffer for rendering\n 37→ const frameBufferRef = useRef<ImageData | null>(null);\n 38→\n 39→ // Handle incoming video frames\n 40→ const handleFrame = useCallback((frame: VideoFrame) => {\n 41→ if (!frame.raw || !canvasRef.current) return;\n 42→\n 43→ const { width, height, data } = frame.raw;\n 44→\n 45→ // Update display size if changed\n 46→ if (width !== displaySize.width || height !== displaySize.height) {\n 47→ setDisplaySize({ width, height });\n 48→ }\n 49→\n 50→ // Get or create context\n 51→ if (!ctxRef.current) {\n 52→ ctxRef.current = canvasRef.current.getContext('2d', {\n 53→ alpha: false,\n 54→ desynchronized: true,\n 55→ });\n 56→ }\n 57→\n 58→ const ctx = ctxRef.current;\n 59→ if (!ctx) return;\n 60→\n 61→ // For MVP, we assume raw BGRA frames\n 62→ // In production, handle compressed frames with fzstd\n 63→ let frameData = data;\n 64→\n 65→ // Create or reuse ImageData\n 66→ if (!frameBufferRef.current ||\n 67→ frameBufferRef.current.width !== width ||\n 68→ frameBufferRef.current.height !== height) {\n 69→ frameBufferRef.current = ctx.createImageData(width, height);\n 70→ }\n 71→\n 72→ const imageData = frameBufferRef.current;\n 73→\n 74→ // Convert BGRA to RGBA for canvas\n 75→ const pixels = imageData.data;\n 76→ const len = Math.min(frameData.length, pixels.length);\n 77→\n 78→ for (let i = 0; i < len; i += 4) {\n 79→ pixels[i] = frameData[i + 2]; // R <- B\n 80→ pixels[i + 1] = frameData[i + 1]; // G <- G\n 81→ pixels[i + 2] = frameData[i]; // B <- R\n 82→ pixels[i + 3] = 255; // A (opaque)\n 83→ }\n 84→\n 85→ // Draw to canvas\n 86→ ctx.putImageData(imageData, 0, 0);\n 87→ }, [displaySize]);\n 88→\n 89→ // Set up session\n 90→ const { status, connect, disconnect, sendMouseEvent, sendKeyEvent } = useRemoteSession({\n 91→ serverUrl,\n 92→ sessionId,\n 93→ onFrame: handleFrame,\n 94→ onStatusChange,\n 95→ });\n 96→\n 97→ // Auto-connect on mount\n 98→ useEffect(() => {\n 99→ if (autoConnect) {\n 100→ connect();\n 101→ }\n 102→ return () => {\n 103→ disconnect();\n 104→ };\n 105→ }, [autoConnect, connect, disconnect]);\n 106→\n 107→ // Update canvas size when display size changes\n 108→ useEffect(() => {\n 109→ if (canvasRef.current) {\n 110→ canvasRef.current.width = displaySize.width;\n 111→ canvasRef.current.height = displaySize.height;\n 112→ // Reset context reference\n 113→ ctxRef.current = null;\n 114→ frameBufferRef.current = null;\n 115→ }\n 116→ }, [displaySize]);\n 117→\n 118→ // Get canvas rect for coordinate translation\n 119→ const getCanvasRect = useCallback(() => {\n 120→ return canvasRef.current?.getBoundingClientRect() ?? new DOMRect();\n 121→ }, []);\n 122→\n 123→ // Mouse event handlers\n 124→ const handleMouseMove = useCallback((e: React.MouseEvent<HTMLCanvasElement>) => {\n 125→ const event = createMouseEvent(e, getCanvasRect(), displaySize.width, displaySize.height, 0);\n 126→ sendMouseEvent(event);\n 127→ }, [getCanvasRect, displaySize, sendMouseEvent]);\n 128→\n 129→ const handleMouseDown = useCallback((e: React.MouseEvent<HTMLCanvasElement>) => {\n 130→ e.preventDefault();\n 131→ const event = createMouseEvent(e, getCanvasRect(), displaySize.width, displaySize.height, 1);\n 132→ sendMouseEvent(event);\n 133→ }, [getCanvasRect, displaySize, sendMouseEvent]);\n 134→\n 135→ const handleMouseUp = useCallback((e: React.MouseEvent<HTMLCanvasElement>) => {\n 136→ const event = createMouseEvent(e, getCanvasRect(), displaySize.width, displaySize.height, 2);\n 137→ sendMouseEvent(event);\n 138→ }, [getCanvasRect, displaySize, sendMouseEvent]);\n 139→\n 140→ const handleWheel = useCallback((e: React.WheelEvent<HTMLCanvasElement>) => {\n 141→ e.preventDefault();\n 142→ const baseEvent = createMouseEvent(e, getCanvasRect(), displaySize.width, displaySize.height, 3);\n 143→ sendMouseEvent({\n 144→ ...baseEvent,\n 145→ wheelDeltaX: Math.round(e.deltaX),\n 146→ wheelDeltaY: Math.round(e.deltaY),\n 147→ });\n 148→ }, [getCanvasRect, displaySize, sendMouseEvent]);\n 149→\n 150→ const handleContextMenu = useCallback((e: React.MouseEvent<HTMLCanvasElement>) => {\n 151→ e.preventDefault(); // Prevent browser context menu\n 152→ }, []);\n 153→\n 154→ // Keyboard event handlers\n 155→ const handleKeyDown = useCallback((e: React.KeyboardEvent<HTMLCanvasElement>) => {\n 156→ e.preventDefault();\n 157→ const event = createKeyEvent(e, true);\n 158→ sendKeyEvent(event);\n 159→ }, [sendKeyEvent]);\n 160→\n 161→ const handleKeyUp = useCallback((e: React.KeyboardEvent<HTMLCanvasElement>) => {\n 162→ e.preventDefault();\n 163→ const event = createKeyEvent(e, false);\n 164→ sendKeyEvent(event);\n 165→ }, [sendKeyEvent]);\n 166→\n 167→ return (\n 168→ <div ref={containerRef} className={`remote-viewer ${className}`}>\n 169→ <canvas\n 170→ ref={canvasRef}\n 171→ tabIndex={0}\n 172→ onMouseMove={handleMouseMove}\n 173→ onMouseDown={handleMouseDown}\n 174→ onMouseUp={handleMouseUp}\n 175→ onWheel={handleWheel}\n 176→ onContextMenu={handleContextMenu}\n 177→ onKeyDown={handleKeyDown}\n 178→ onKeyUp={handleKeyUp}\n 179→ style={{\n 180→ width: '100%',\n 181→ height: 'auto',\n 182→ aspectRatio: `${displaySize.width} / ${displaySize.height}`,\n 183→ cursor: 'none', // Hide cursor, remote cursor is shown in frame\n 184→ outline: 'none',\n 185→ backgroundColor: '#1a1a1a',\n 186→ }}\n 187→ />\n 188→\n 189→ {showStatusBar && (\n 190→ <div className=\"remote-viewer-status\" style={{\n 191→ display: 'flex',\n 192→ justifyContent: 'space-between',\n 193→ padding: '4px 8px',\n 194→ backgroundColor: '#333',\n 195→ color: '#fff',\n 196→ fontSize: '12px',\n 197→ fontFamily: 'monospace',\n 198→ }}>\n 199→ <span>\n 200→ {status.connected ? (\n 201→ <span style={{ color: '#4ade80' }}>Connected</span>\n 202→ ) : (\n 203→ <span style={{ color: '#f87171' }}>Disconnected</span>\n 204→ )}\n 205→ </span>\n 206→ <span>{displaySize.width}x{displaySize.height}</span>\n 207→ {status.fps !== undefined && <span>{status.fps} FPS</span>}\n 208→ {status.latencyMs !== undefined && <span>{status.latencyMs}ms</span>}\n 209→ </div>\n 210→ )}\n 211→ </div>\n 212→ );\n 213→};\n 214→\n 215→export default RemoteViewer;\n 216→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"b1903e60-71b3-43c9-9b1a-fadaec9deda9","timestamp":"2026-01-11T22:43:26.840Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\dashboard\\src\\components\\RemoteViewer.tsx","content":"/**\n * RemoteViewer Component\n *\n * Canvas-based remote desktop viewer that connects to a GuruConnect\n * agent via the relay server. Handles frame rendering and input capture.\n */\n\nimport React, { useRef, useEffect, useCallback, useState } from 'react';\nimport { useRemoteSession, createMouseEvent, createKeyEvent } from '../hooks/useRemoteSession';\nimport type { VideoFrame, ConnectionStatus } from '../types/protocol';\n\ninterface RemoteViewerProps {\n serverUrl: string;\n sessionId: string;\n className?: string;\n onStatusChange?: (status: ConnectionStatus) => void;\n autoConnect?: boolean;\n showStatusBar?: boolean;\n}\n\nexport const RemoteViewer: React.FC<RemoteViewerProps> = ({\n serverUrl,\n sessionId,\n className = '',\n onStatusChange,\n autoConnect = true,\n showStatusBar = true,\n}) => {\n const canvasRef = useRef<HTMLCanvasElement>(null);\n const containerRef = useRef<HTMLDivElement>(null);\n const ctxRef = useRef<CanvasRenderingContext2D | null>(null);\n\n // Display dimensions from received frames\n const [displaySize, setDisplaySize] = useState({ width: 1920, height: 1080 });\n\n // Frame buffer for rendering\n const frameBufferRef = useRef<ImageData | null>(null);\n\n // Handle incoming video frames\n const handleFrame = useCallback((frame: VideoFrame) => {\n if (!frame.raw || !canvasRef.current) return;\n\n const { width, height, data } = frame.raw;\n\n // Update display size if changed\n if (width !== displaySize.width || height !== displaySize.height) {\n setDisplaySize({ width, height });\n }\n\n // Get or create context\n if (!ctxRef.current) {\n ctxRef.current = canvasRef.current.getContext('2d', {\n alpha: false,\n desynchronized: true,\n });\n }\n\n const ctx = ctxRef.current;\n if (!ctx) return;\n\n // For MVP, we assume raw BGRA frames\n // In production, handle compressed frames with fzstd\n let frameData = data;\n\n // Create or reuse ImageData\n if (!frameBufferRef.current ||\n frameBufferRef.current.width !== width ||\n frameBufferRef.current.height !== height) {\n frameBufferRef.current = ctx.createImageData(width, height);\n }\n\n const imageData = frameBufferRef.current;\n\n // Convert BGRA to RGBA for canvas\n const pixels = imageData.data;\n const len = Math.min(frameData.length, pixels.length);\n\n for (let i = 0; i < len; i += 4) {\n pixels[i] = frameData[i + 2]; // R <- B\n pixels[i + 1] = frameData[i + 1]; // G <- G\n pixels[i + 2] = frameData[i]; // B <- R\n pixels[i + 3] = 255; // A (opaque)\n }\n\n // Draw to canvas\n ctx.putImageData(imageData, 0, 0);\n }, [displaySize]);\n\n // Set up session\n const { status, connect, disconnect, sendMouseEvent, sendKeyEvent } = useRemoteSession({\n serverUrl,\n sessionId,\n onFrame: handleFrame,\n onStatusChange,\n });\n\n // Auto-connect on mount\n useEffect(() => {\n if (autoConnect) {\n connect();\n }\n return () => {\n disconnect();\n };\n }, [autoConnect, connect, disconnect]);\n\n // Update canvas size when display size changes\n useEffect(() => {\n if (canvasRef.current) {\n canvasRef.current.width = displaySize.width;\n canvasRef.current.height = displaySize.height;\n // Reset context reference\n ctxRef.current = null;\n frameBufferRef.current = null;\n }\n }, [displaySize]);\n\n // Get canvas rect for coordinate translation\n const getCanvasRect = useCallback(() => {\n return canvasRef.current?.getBoundingClientRect() ?? new DOMRect();\n }, []);\n\n // Mouse event handlers\n const handleMouseMove = useCallback((e: React.MouseEvent<HTMLCanvasElement>) => {\n const event = createMouseEvent(e, getCanvasRect(), displaySize.width, displaySize.height, 0);\n sendMouseEvent(event);\n }, [getCanvasRect, displaySize, sendMouseEvent]);\n\n const handleMouseDown = useCallback((e: React.MouseEvent<HTMLCanvasElement>) => {\n e.preventDefault();\n const event = createMouseEvent(e, getCanvasRect(), displaySize.width, displaySize.height, 1);\n sendMouseEvent(event);\n }, [getCanvasRect, displaySize, sendMouseEvent]);\n\n const handleMouseUp = useCallback((e: React.MouseEvent<HTMLCanvasElement>) => {\n const event = createMouseEvent(e, getCanvasRect(), displaySize.width, displaySize.height, 2);\n sendMouseEvent(event);\n }, [getCanvasRect, displaySize, sendMouseEvent]);\n\n const handleWheel = useCallback((e: React.WheelEvent<HTMLCanvasElement>) => {\n e.preventDefault();\n const baseEvent = createMouseEvent(e, getCanvasRect(), displaySize.width, displaySize.height, 3);\n sendMouseEvent({\n ...baseEvent,\n wheelDeltaX: Math.round(e.deltaX),\n wheelDeltaY: Math.round(e.deltaY),\n });\n }, [getCanvasRect, displaySize, sendMouseEvent]);\n\n const handleContextMenu = useCallback((e: React.MouseEvent<HTMLCanvasElement>) => {\n e.preventDefault(); // Prevent browser context menu\n }, []);\n\n // Keyboard event handlers\n const handleKeyDown = useCallback((e: React.KeyboardEvent<HTMLCanvasElement>) => {\n e.preventDefault();\n const event = createKeyEvent(e, true);\n sendKeyEvent(event);\n }, [sendKeyEvent]);\n\n const handleKeyUp = useCallback((e: React.KeyboardEvent<HTMLCanvasElement>) => {\n e.preventDefault();\n const event = createKeyEvent(e, false);\n sendKeyEvent(event);\n }, [sendKeyEvent]);\n\n return (\n <div ref={containerRef} className={`remote-viewer ${className}`}>\n <canvas\n ref={canvasRef}\n tabIndex={0}\n onMouseMove={handleMouseMove}\n onMouseDown={handleMouseDown}\n onMouseUp={handleMouseUp}\n onWheel={handleWheel}\n onContextMenu={handleContextMenu}\n onKeyDown={handleKeyDown}\n onKeyUp={handleKeyUp}\n style={{\n width: '100%',\n height: 'auto',\n aspectRatio: `${displaySize.width} / ${displaySize.height}`,\n cursor: 'none', // Hide cursor, remote cursor is shown in frame\n outline: 'none',\n backgroundColor: '#1a1a1a',\n }}\n />\n\n {showStatusBar && (\n <div className=\"remote-viewer-status\" style={{\n display: 'flex',\n justifyContent: 'space-between',\n padding: '4px 8px',\n backgroundColor: '#333',\n color: '#fff',\n fontSize: '12px',\n fontFamily: 'monospace',\n }}>\n <span>\n {status.connected ? (\n <span style={{ color: '#4ade80' }}>Connected</span>\n ) : (\n <span style={{ color: '#f87171' }}>Disconnected</span>\n )}\n </span>\n <span>{displaySize.width}x{displaySize.height}</span>\n {status.fps !== undefined && <span>{status.fps} FPS</span>}\n {status.latencyMs !== undefined && <span>{status.latencyMs}ms</span>}\n </div>\n )}\n </div>\n );\n};\n\nexport default RemoteViewer;\n","numLines":216,"startLine":1,"totalLines":216}},"sourceToolAssistantUUID":"817ce107-b63c-483a-a110-ddce504717d4"}
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{"parentUuid":"9bbf854a-a3f7-4a7f-b7d6-2b6236d05cb1","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MLBd9PFE2w23Fs7q6sTnXt","type":"tool_result","content":" 1→//! Screen capture module\n 2→//!\n 3→//! Provides DXGI Desktop Duplication for high-performance screen capture on Windows 8+,\n 4→//! with GDI fallback for legacy systems or edge cases.\n 5→\n 6→#[cfg(windows)]\n 7→mod dxgi;\n 8→#[cfg(windows)]\n 9→mod gdi;\n 10→mod display;\n 11→\n 12→pub use display::{Display, DisplayInfo};\n 13→\n 14→use anyhow::Result;\n 15→use std::time::Instant;\n 16→\n 17→/// Captured frame data\n 18→#[derive(Debug)]\n 19→pub struct CapturedFrame {\n 20→ /// Frame width in pixels\n 21→ pub width: u32,\n 22→\n 23→ /// Frame height in pixels\n 24→ pub height: u32,\n 25→\n 26→ /// Raw BGRA pixel data (4 bytes per pixel)\n 27→ pub data: Vec<u8>,\n 28→\n 29→ /// Timestamp when frame was captured\n 30→ pub timestamp: Instant,\n 31→\n 32→ /// Display ID this frame is from\n 33→ pub display_id: u32,\n 34→\n 35→ /// Regions that changed since last frame (if available)\n 36→ pub dirty_rects: Option<Vec<DirtyRect>>,\n 37→}\n 38→\n 39→/// Rectangular region that changed\n 40→#[derive(Debug, Clone, Copy)]\n 41→pub struct DirtyRect {\n 42→ pub x: u32,\n 43→ pub y: u32,\n 44→ pub width: u32,\n 45→ pub height: u32,\n 46→}\n 47→\n 48→/// Screen capturer trait\n 49→pub trait Capturer: Send {\n 50→ /// Capture the next frame\n 51→ ///\n 52→ /// Returns None if no new frame is available (screen unchanged)\n 53→ fn capture(&mut self) -> Result<Option<CapturedFrame>>;\n 54→\n 55→ /// Get the current display info\n 56→ fn display(&self) -> &Display;\n 57→\n 58→ /// Check if capturer is still valid (display may have changed)\n 59→ fn is_valid(&self) -> bool;\n 60→}\n 61→\n 62→/// Create a capturer for the specified display\n 63→#[cfg(windows)]\n 64→pub fn create_capturer(display: Display, use_dxgi: bool, gdi_fallback: bool) -> Result<Box<dyn Capturer>> {\n 65→ if use_dxgi {\n 66→ match dxgi::DxgiCapturer::new(display.clone()) {\n 67→ Ok(capturer) => {\n 68→ tracing::info!(\"Using DXGI Desktop Duplication for capture\");\n 69→ return Ok(Box::new(capturer));\n 70→ }\n 71→ Err(e) => {\n 72→ tracing::warn!(\"DXGI capture failed: {}, trying fallback\", e);\n 73→ if !gdi_fallback {\n 74→ return Err(e);\n 75→ }\n 76→ }\n 77→ }\n 78→ }\n 79→\n 80→ // GDI fallback\n 81→ tracing::info!(\"Using GDI for capture\");\n 82→ Ok(Box::new(gdi::GdiCapturer::new(display)?))\n 83→}\n 84→\n 85→#[cfg(not(windows))]\n 86→pub fn create_capturer(_display: Display, _use_dxgi: bool, _gdi_fallback: bool) -> Result<Box<dyn Capturer>> {\n 87→ anyhow::bail!(\"Screen capture only supported on Windows\")\n 88→}\n 89→\n 90→/// Get all available displays\n 91→pub fn enumerate_displays() -> Result<Vec<Display>> {\n 92→ display::enumerate_displays()\n 93→}\n 94→\n 95→/// Get the primary display\n 96→pub fn primary_display() -> Result<Display> {\n 97→ let displays = enumerate_displays()?;\n 98→ displays\n 99→ .into_iter()\n 100→ .find(|d| d.is_primary)\n 101→ .ok_or_else(|| anyhow::anyhow!(\"No primary display found\"))\n 102→}\n 103→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"8c8c2f5c-cc2d-4642-8900-a350cd0a2bc9","timestamp":"2026-01-11T22:43:26.840Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\agent\\src\\capture\\mod.rs","content":"//! Screen capture module\n//!\n//! Provides DXGI Desktop Duplication for high-performance screen capture on Windows 8+,\n//! with GDI fallback for legacy systems or edge cases.\n\n#[cfg(windows)]\nmod dxgi;\n#[cfg(windows)]\nmod gdi;\nmod display;\n\npub use display::{Display, DisplayInfo};\n\nuse anyhow::Result;\nuse std::time::Instant;\n\n/// Captured frame data\n#[derive(Debug)]\npub struct CapturedFrame {\n /// Frame width in pixels\n pub width: u32,\n\n /// Frame height in pixels\n pub height: u32,\n\n /// Raw BGRA pixel data (4 bytes per pixel)\n pub data: Vec<u8>,\n\n /// Timestamp when frame was captured\n pub timestamp: Instant,\n\n /// Display ID this frame is from\n pub display_id: u32,\n\n /// Regions that changed since last frame (if available)\n pub dirty_rects: Option<Vec<DirtyRect>>,\n}\n\n/// Rectangular region that changed\n#[derive(Debug, Clone, Copy)]\npub struct DirtyRect {\n pub x: u32,\n pub y: u32,\n pub width: u32,\n pub height: u32,\n}\n\n/// Screen capturer trait\npub trait Capturer: Send {\n /// Capture the next frame\n ///\n /// Returns None if no new frame is available (screen unchanged)\n fn capture(&mut self) -> Result<Option<CapturedFrame>>;\n\n /// Get the current display info\n fn display(&self) -> &Display;\n\n /// Check if capturer is still valid (display may have changed)\n fn is_valid(&self) -> bool;\n}\n\n/// Create a capturer for the specified display\n#[cfg(windows)]\npub fn create_capturer(display: Display, use_dxgi: bool, gdi_fallback: bool) -> Result<Box<dyn Capturer>> {\n if use_dxgi {\n match dxgi::DxgiCapturer::new(display.clone()) {\n Ok(capturer) => {\n tracing::info!(\"Using DXGI Desktop Duplication for capture\");\n return Ok(Box::new(capturer));\n }\n Err(e) => {\n tracing::warn!(\"DXGI capture failed: {}, trying fallback\", e);\n if !gdi_fallback {\n return Err(e);\n }\n }\n }\n }\n\n // GDI fallback\n tracing::info!(\"Using GDI for capture\");\n Ok(Box::new(gdi::GdiCapturer::new(display)?))\n}\n\n#[cfg(not(windows))]\npub fn create_capturer(_display: Display, _use_dxgi: bool, _gdi_fallback: bool) -> Result<Box<dyn Capturer>> {\n anyhow::bail!(\"Screen capture only supported on Windows\")\n}\n\n/// Get all available displays\npub fn enumerate_displays() -> Result<Vec<Display>> {\n display::enumerate_displays()\n}\n\n/// Get the primary display\npub fn primary_display() -> Result<Display> {\n let displays = enumerate_displays()?;\n displays\n .into_iter()\n .find(|d| d.is_primary)\n .ok_or_else(|| anyhow::anyhow!(\"No primary display found\"))\n}\n","numLines":103,"startLine":1,"totalLines":103}},"sourceToolAssistantUUID":"9bbf854a-a3f7-4a7f-b7d6-2b6236d05cb1"}
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{"parentUuid":"29d18b39-a0d1-42a2-823f-7acfd6fd8620","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jx5Ri6ntL1V1SDsnQwZdCL","type":"tool_result","content":" 1→//! WebSocket client transport\n 2→//!\n 3→//! Handles WebSocket connection to the GuruConnect server with:\n 4→//! - TLS encryption\n 5→//! - Automatic reconnection\n 6→//! - Protobuf message serialization\n 7→\n 8→use crate::proto::Message;\n 9→use anyhow::{Context, Result};\n 10→use bytes::Bytes;\n 11→use futures_util::{SinkExt, StreamExt};\n 12→use prost::Message as ProstMessage;\n 13→use std::collections::VecDeque;\n 14→use std::sync::Arc;\n 15→use tokio::net::TcpStream;\n 16→use tokio::sync::Mutex;\n 17→use tokio_tungstenite::{\n 18→ connect_async, tungstenite::protocol::Message as WsMessage, MaybeTlsStream, WebSocketStream,\n 19→};\n 20→\n 21→type WsStream = WebSocketStream<MaybeTlsStream<TcpStream>>;\n 22→\n 23→/// WebSocket transport for server communication\n 24→pub struct WebSocketTransport {\n 25→ stream: Arc<Mutex<WsStream>>,\n 26→ incoming: VecDeque<Message>,\n 27→ connected: bool,\n 28→}\n 29→\n 30→impl WebSocketTransport {\n 31→ /// Connect to the server\n 32→ pub async fn connect(url: &str, api_key: &str, agent_id: &str, agent_name: &str) -> Result<Self> {\n 33→ // Build URL with query parameters\n 34→ // Server expects: agent_id (required), agent_name (optional), api_key (for auth)\n 35→ let url_with_params = if url.contains('?') {\n 36→ format!(\"{}&agent_id={}&agent_name={}&api_key={}\", url,\n 37→ urlencoding::encode(agent_id),\n 38→ urlencoding::encode(agent_name),\n 39→ urlencoding::encode(api_key))\n 40→ } else {\n 41→ format!(\"{}?agent_id={}&agent_name={}&api_key={}\", url,\n 42→ urlencoding::encode(agent_id),\n 43→ urlencoding::encode(agent_name),\n 44→ urlencoding::encode(api_key))\n 45→ };\n 46→\n 47→ tracing::info!(\"Connecting to {}\", url);\n 48→\n 49→ let (ws_stream, response) = connect_async(&url_with_params)\n 50→ .await\n 51→ .context(\"Failed to connect to WebSocket server\")?;\n 52→\n 53→ tracing::info!(\"Connected, status: {}\", response.status());\n 54→\n 55→ Ok(Self {\n 56→ stream: Arc::new(Mutex::new(ws_stream)),\n 57→ incoming: VecDeque::new(),\n 58→ connected: true,\n 59→ })\n 60→ }\n 61→\n 62→ /// Send a protobuf message\n 63→ pub async fn send(&mut self, msg: Message) -> Result<()> {\n 64→ let mut stream = self.stream.lock().await;\n 65→\n 66→ // Serialize to protobuf binary\n 67→ let mut buf = Vec::with_capacity(msg.encoded_len());\n 68→ msg.encode(&mut buf)?;\n 69→\n 70→ // Send as binary WebSocket message\n 71→ stream\n 72→ .send(WsMessage::Binary(buf.into()))\n 73→ .await\n 74→ .context(\"Failed to send message\")?;\n 75→\n 76→ Ok(())\n 77→ }\n 78→\n 79→ /// Try to receive a message (non-blocking)\n 80→ pub fn try_recv(&mut self) -> Result<Option<Message>> {\n 81→ // Return buffered message if available\n 82→ if let Some(msg) = self.incoming.pop_front() {\n 83→ return Ok(Some(msg));\n 84→ }\n 85→\n 86→ // Try to receive more messages\n 87→ let stream = self.stream.clone();\n 88→ let result = tokio::task::block_in_place(|| {\n 89→ tokio::runtime::Handle::current().block_on(async {\n 90→ let mut stream = stream.lock().await;\n 91→\n 92→ // Use try_next for non-blocking receive\n 93→ match tokio::time::timeout(\n 94→ std::time::Duration::from_millis(1),\n 95→ stream.next(),\n 96→ )\n 97→ .await\n 98→ {\n 99→ Ok(Some(Ok(ws_msg))) => Ok(Some(ws_msg)),\n 100→ Ok(Some(Err(e))) => Err(anyhow::anyhow!(\"WebSocket error: {}\", e)),\n 101→ Ok(None) => {\n 102→ // Connection closed\n 103→ Ok(None)\n 104→ }\n 105→ Err(_) => {\n 106→ // Timeout - no message available\n 107→ Ok(None)\n 108→ }\n 109→ }\n 110→ })\n 111→ });\n 112→\n 113→ match result? {\n 114→ Some(ws_msg) => {\n 115→ if let Some(msg) = self.parse_message(ws_msg)? {\n 116→ Ok(Some(msg))\n 117→ } else {\n 118→ Ok(None)\n 119→ }\n 120→ }\n 121→ None => Ok(None),\n 122→ }\n 123→ }\n 124→\n 125→ /// Receive a message (blocking)\n 126→ pub async fn recv(&mut self) -> Result<Option<Message>> {\n 127→ // Return buffered message if available\n 128→ if let Some(msg) = self.incoming.pop_front() {\n 129→ return Ok(Some(msg));\n 130→ }\n 131→\n 132→ let ws_result = {\n 133→ let mut stream = self.stream.lock().await;\n 134→ stream.next().await\n 135→ };\n 136→\n 137→ match ws_result {\n 138→ Some(Ok(ws_msg)) => self.parse_message(ws_msg),\n 139→ Some(Err(e)) => {\n 140→ self.connected = false;\n 141→ Err(anyhow::anyhow!(\"WebSocket error: {}\", e))\n 142→ }\n 143→ None => {\n 144→ self.connected = false;\n 145→ Ok(None)\n 146→ }\n 147→ }\n 148→ }\n 149→\n 150→ /// Parse a WebSocket message into a protobuf message\n 151→ fn parse_message(&mut self, ws_msg: WsMessage) -> Result<Option<Message>> {\n 152→ match ws_msg {\n 153→ WsMessage::Binary(data) => {\n 154→ let msg = Message::decode(Bytes::from(data))\n 155→ .context(\"Failed to decode protobuf message\")?;\n 156→ Ok(Some(msg))\n 157→ }\n 158→ WsMessage::Ping(data) => {\n 159→ // Pong is sent automatically by tungstenite\n 160→ tracing::trace!(\"Received ping\");\n 161→ Ok(None)\n 162→ }\n 163→ WsMessage::Pong(_) => {\n 164→ tracing::trace!(\"Received pong\");\n 165→ Ok(None)\n 166→ }\n 167→ WsMessage::Close(frame) => {\n 168→ tracing::info!(\"Connection closed: {:?}\", frame);\n 169→ self.connected = false;\n 170→ Ok(None)\n 171→ }\n 172→ WsMessage::Text(text) => {\n 173→ // We expect binary protobuf, but log text messages\n 174→ tracing::warn!(\"Received unexpected text message: {}\", text);\n 175→ Ok(None)\n 176→ }\n 177→ _ => Ok(None),\n 178→ }\n 179→ }\n 180→\n 181→ /// Check if connected\n 182→ pub fn is_connected(&self) -> bool {\n 183→ self.connected\n 184→ }\n 185→\n 186→ /// Close the connection\n 187→ pub async fn close(&mut self) -> Result<()> {\n 188→ let mut stream = self.stream.lock().await;\n 189→ stream.close(None).await?;\n 190→ self.connected = false;\n 191→ Ok(())\n 192→ }\n 193→}\n 194→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"246a9c03-0fb2-4968-b7ae-617cc1dab262","timestamp":"2026-01-11T22:43:26.841Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\agent\\src\\transport\\websocket.rs","content":"//! WebSocket client transport\n//!\n//! Handles WebSocket connection to the GuruConnect server with:\n//! - TLS encryption\n//! - Automatic reconnection\n//! - Protobuf message serialization\n\nuse crate::proto::Message;\nuse anyhow::{Context, Result};\nuse bytes::Bytes;\nuse futures_util::{SinkExt, StreamExt};\nuse prost::Message as ProstMessage;\nuse std::collections::VecDeque;\nuse std::sync::Arc;\nuse tokio::net::TcpStream;\nuse tokio::sync::Mutex;\nuse tokio_tungstenite::{\n connect_async, tungstenite::protocol::Message as WsMessage, MaybeTlsStream, WebSocketStream,\n};\n\ntype WsStream = WebSocketStream<MaybeTlsStream<TcpStream>>;\n\n/// WebSocket transport for server communication\npub struct WebSocketTransport {\n stream: Arc<Mutex<WsStream>>,\n incoming: VecDeque<Message>,\n connected: bool,\n}\n\nimpl WebSocketTransport {\n /// Connect to the server\n pub async fn connect(url: &str, api_key: &str, agent_id: &str, agent_name: &str) -> Result<Self> {\n // Build URL with query parameters\n // Server expects: agent_id (required), agent_name (optional), api_key (for auth)\n let url_with_params = if url.contains('?') {\n format!(\"{}&agent_id={}&agent_name={}&api_key={}\", url,\n urlencoding::encode(agent_id),\n urlencoding::encode(agent_name),\n urlencoding::encode(api_key))\n } else {\n format!(\"{}?agent_id={}&agent_name={}&api_key={}\", url,\n urlencoding::encode(agent_id),\n urlencoding::encode(agent_name),\n urlencoding::encode(api_key))\n };\n\n tracing::info!(\"Connecting to {}\", url);\n\n let (ws_stream, response) = connect_async(&url_with_params)\n .await\n .context(\"Failed to connect to WebSocket server\")?;\n\n tracing::info!(\"Connected, status: {}\", response.status());\n\n Ok(Self {\n stream: Arc::new(Mutex::new(ws_stream)),\n incoming: VecDeque::new(),\n connected: true,\n })\n }\n\n /// Send a protobuf message\n pub async fn send(&mut self, msg: Message) -> Result<()> {\n let mut stream = self.stream.lock().await;\n\n // Serialize to protobuf binary\n let mut buf = Vec::with_capacity(msg.encoded_len());\n msg.encode(&mut buf)?;\n\n // Send as binary WebSocket message\n stream\n .send(WsMessage::Binary(buf.into()))\n .await\n .context(\"Failed to send message\")?;\n\n Ok(())\n }\n\n /// Try to receive a message (non-blocking)\n pub fn try_recv(&mut self) -> Result<Option<Message>> {\n // Return buffered message if available\n if let Some(msg) = self.incoming.pop_front() {\n return Ok(Some(msg));\n }\n\n // Try to receive more messages\n let stream = self.stream.clone();\n let result = tokio::task::block_in_place(|| {\n tokio::runtime::Handle::current().block_on(async {\n let mut stream = stream.lock().await;\n\n // Use try_next for non-blocking receive\n match tokio::time::timeout(\n std::time::Duration::from_millis(1),\n stream.next(),\n )\n .await\n {\n Ok(Some(Ok(ws_msg))) => Ok(Some(ws_msg)),\n Ok(Some(Err(e))) => Err(anyhow::anyhow!(\"WebSocket error: {}\", e)),\n Ok(None) => {\n // Connection closed\n Ok(None)\n }\n Err(_) => {\n // Timeout - no message available\n Ok(None)\n }\n }\n })\n });\n\n match result? {\n Some(ws_msg) => {\n if let Some(msg) = self.parse_message(ws_msg)? {\n Ok(Some(msg))\n } else {\n Ok(None)\n }\n }\n None => Ok(None),\n }\n }\n\n /// Receive a message (blocking)\n pub async fn recv(&mut self) -> Result<Option<Message>> {\n // Return buffered message if available\n if let Some(msg) = self.incoming.pop_front() {\n return Ok(Some(msg));\n }\n\n let ws_result = {\n let mut stream = self.stream.lock().await;\n stream.next().await\n };\n\n match ws_result {\n Some(Ok(ws_msg)) => self.parse_message(ws_msg),\n Some(Err(e)) => {\n self.connected = false;\n Err(anyhow::anyhow!(\"WebSocket error: {}\", e))\n }\n None => {\n self.connected = false;\n Ok(None)\n }\n }\n }\n\n /// Parse a WebSocket message into a protobuf message\n fn parse_message(&mut self, ws_msg: WsMessage) -> Result<Option<Message>> {\n match ws_msg {\n WsMessage::Binary(data) => {\n let msg = Message::decode(Bytes::from(data))\n .context(\"Failed to decode protobuf message\")?;\n Ok(Some(msg))\n }\n WsMessage::Ping(data) => {\n // Pong is sent automatically by tungstenite\n tracing::trace!(\"Received ping\");\n Ok(None)\n }\n WsMessage::Pong(_) => {\n tracing::trace!(\"Received pong\");\n Ok(None)\n }\n WsMessage::Close(frame) => {\n tracing::info!(\"Connection closed: {:?}\", frame);\n self.connected = false;\n Ok(None)\n }\n WsMessage::Text(text) => {\n // We expect binary protobuf, but log text messages\n tracing::warn!(\"Received unexpected text message: {}\", text);\n Ok(None)\n }\n _ => Ok(None),\n }\n }\n\n /// Check if connected\n pub fn is_connected(&self) -> bool {\n self.connected\n }\n\n /// Close the connection\n pub async fn close(&mut self) -> Result<()> {\n let mut stream = self.stream.lock().await;\n stream.close(None).await?;\n self.connected = false;\n Ok(())\n }\n}\n","numLines":194,"startLine":1,"totalLines":194}},"sourceToolAssistantUUID":"29d18b39-a0d1-42a2-823f-7acfd6fd8620"}
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{"parentUuid":"246a9c03-0fb2-4968-b7ae-617cc1dab262","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01NEjzqwtCwJ2nGEKL6arNrZ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I have a good understanding of the codebase. Let me identify performance optimization opportunities:\n\n1. **Frontend - BGRA to RGBA conversion**: The `RemoteViewer.tsx` does a per-pixel loop to convert BGRA to RGBA. This is O(n) for every pixel on every frame - for a 1920x1080 display that's 8.3 million operations per frame. This could be optimized using WebAssembly or by using a typed array view manipulation.\n\n2. **Frontend - Frame buffer reuse**: The code does reuse ImageData but could potentially use OffscreenCanvas and requestAnimationFrame for better rendering.\n\n3. **Agent - Dirty rectangle detection**: The `detect_dirty_rects` in `raw.rs` does block-based comparison but iterates through every block's rows sequentially. This could be parallelized using rayon.\n\n4. **Agent - Full frame copy on each capture**: In `dxgi.rs`, `copy_frame_data` allocates a new Vec<u8> on every frame capture. This could use a pre-allocated buffer pool.\n\n5. **Agent - Dirty rectangle extraction**: The `extract_dirty_pixels` function creates a new Vec and extends it repeatedly, which causes multiple allocations.\n\n6. **Agent - Frame encoding**: The encoder clones `frame.data` twice - once for comparison and once for encoding. This is significant memory churn for 8MB frames.\n\n7. **Server - Broadcast channel buffer size**: The frame buffer is only 16 frames, which might cause dropped frames under load. But increasing it could increase memory usage.\n\n8. **WebSocket transport - try_recv uses block_in_place**: This is inefficient for non-blocking receive and can cause issues with the Tokio runtime.\n\nLet me identify the top 5 most impactful performance optimizations:\n\n1. **BGRA to RGBA conversion optimization** - High impact on rendering performance (every frame)\n2. **Pre-allocated frame buffers in DXGI capture** - High impact on memory allocation churn\n\n\n3. **Eliminate redundant frame data cloning in encoder** - Significant memory pressure from repeated copies\n4. **Parallelize dirty rectangle detection with Rayon** - Reduces CPU overhead during block comparison\n5. **Optimize rendering with OffscreenCanvas and requestAnimationFrame** - Improves frame delivery consistency\n\nNow I'll create the output file.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":6816,"cache_read_input_tokens":39354,"cache_creation":{"ephemeral_5m_input_tokens":6816,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"requestId":"req_011CX2Q83r8yvpUz3nx39SCk","type":"assistant","uuid":"9f2cb698-40ef-4c68-b929-f32d79e34f90","timestamp":"2026-01-11T22:43:47.553Z"}
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{"parentUuid":"9f2cb698-40ef-4c68-b929-f32d79e34f90","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01NEjzqwtCwJ2nGEKL6arNrZ","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a comprehensive view of the codebase. Let me analyze the performance bottlenecks and create the optimization recommendations."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":6816,"cache_read_input_tokens":39354,"cache_creation":{"ephemeral_5m_input_tokens":6816,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"requestId":"req_011CX2Q83r8yvpUz3nx39SCk","type":"assistant","uuid":"52a4dd9e-7fab-47d1-b2ec-448bdc5db255","timestamp":"2026-01-11T22:43:49.011Z"}
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{"parentUuid":"52a4dd9e-7fab-47d1-b2ec-448bdc5db255","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_01NEjzqwtCwJ2nGEKL6arNrZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CkhURHwrayemA4ga59reHa","name":"Write","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\.auto-claude\\ideation\\performance_optimizations_ideas.json","content":"{\n \"performance_optimizations\": [\n {\n \"id\": \"perf-001\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Optimize BGRA to RGBA conversion using TypedArray operations\",\n \"description\": \"The RemoteViewer component performs per-pixel BGRA to RGBA conversion in a for-loop, processing 4 operations per pixel. For 1920x1080 resolution, this means ~8.3 million operations per frame. This can be optimized using TypedArray views and bulk operations or WebAssembly.\",\n \"rationale\": \"The current implementation in handleFrame iterates through every pixel sequentially. For real-time remote desktop at 30-60 FPS, this is a major CPU bottleneck on the browser's main thread. TypedArray operations can leverage SIMD-like optimizations in JS engines.\",\n \"category\": \"rendering\",\n \"impact\": \"high\",\n \"affectedAreas\": [\n \"dashboard/src/components/RemoteViewer.tsx\"\n ],\n \"currentMetric\": \"~8.3M operations per frame at 1080p, blocking main thread during rendering\",\n \"expectedImprovement\": \"2-4x faster pixel conversion, reduced frame render time from ~15ms to ~5ms\",\n \"implementation\": \"1. Use Uint32Array view to read BGRA pixels as single 32-bit values\\n2. Perform bitwise swap: ((bgra & 0xFF) << 16) | (bgra & 0xFF00) | ((bgra >> 16) & 0xFF) | 0xFF000000\\n3. Write to destination Uint32Array in single operation\\n4. Alternative: Use WebWorker or WebAssembly (fzstd already uses WASM) for conversion off main thread\",\n \"tradeoffs\": \"Slightly more complex code, but same cross-browser compatibility\",\n \"estimatedEffort\": \"small\"\n },\n {\n \"id\": \"perf-002\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Pre-allocate frame buffers in DXGI capture to reduce allocation churn\",\n \"description\": \"The dxgi.rs copy_frame_data method allocates a new Vec<u8> on every captured frame. At 1920x1080x4 bytes (8MB) per frame at 30+ FPS, this creates significant memory allocation pressure and GC overhead.\",\n \"rationale\": \"Each frame capture creates an ~8MB allocation that's immediately used and then dropped. Memory allocators perform best with predictable patterns. Reusing a pre-allocated buffer eliminates allocation overhead and improves cache locality.\",\n \"category\": \"memory\",\n \"impact\": \"high\",\n \"affectedAreas\": [\n \"agent/src/capture/dxgi.rs\",\n \"agent/src/capture/mod.rs\"\n ],\n \"currentMetric\": \"8MB allocation per frame, ~240MB/sec allocation at 30 FPS\",\n \"expectedImprovement\": \"Near-zero allocation overhead, 5-10% reduction in capture latency, reduced memory fragmentation\",\n \"implementation\": \"1. Add a frame_buffer: Vec<u8> field to DxgiCapturer\\n2. In copy_frame_data, resize buffer if needed: buffer.resize(dst_pitch * height, 0)\\n3. Copy directly into buffer instead of creating new Vec\\n4. Return a reference or clone only when needed for encoding\\n5. Consider double-buffering for concurrent capture/encode\",\n \"tradeoffs\": \"Slightly more complex ownership model, need to handle buffer lifetime carefully\",\n \"estimatedEffort\": \"small\"\n },\n {\n \"id\": \"perf-003\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Eliminate double frame cloning in encoder for 50% memory reduction\",\n \"description\": \"The RawEncoder.encode() method clones frame.data twice: once for data_to_compress (line 157/175/181) and once for previous_frame (line 216). For 8MB frames, this creates 16MB of redundant copying per frame.\",\n \"rationale\": \"The encoder needs to: (1) compress current data, and (2) save for next comparison. Currently it clones the input data, compresses it, then clones again. The previous_frame could store the original data directly if we compress from a reference.\",\n \"category\": \"memory\",\n \"impact\": \"high\",\n \"affectedAreas\": [\n \"agent/src/encoder/raw.rs\"\n ],\n \"currentMetric\": \"16MB memory copy per frame (2x 8MB at 1080p), ~480MB/sec at 30 FPS\",\n \"expectedImprovement\": \"50% reduction in encoder memory bandwidth, ~8MB less copying per frame\",\n \"implementation\": \"1. Change encode() to compress from &frame.data directly without cloning for full frames\\n2. Store previous_frame = Some(frame.data.clone()) BEFORE compress call only when needed\\n3. For dirty rect extraction, avoid cloning full frame - compress directly from extracted pixels\\n4. Consider using Arc<Vec<u8>> for zero-copy frame sharing between capture/encode stages\",\n \"tradeoffs\": \"Requires careful refactoring of ownership; may need to change Encoder trait signature\",\n \"estimatedEffort\": \"medium\"\n },\n {\n \"id\": \"perf-004\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Parallelize dirty rectangle detection using Rayon\",\n \"description\": \"The detect_dirty_rects function in raw.rs performs sequential block-by-block comparison. For 1920x1080 with 64x64 blocks, this is 30x17=510 blocks checked sequentially. Rayon can parallelize this across CPU cores.\",\n \"rationale\": \"Dirty rectangle detection is an embarrassingly parallel problem - each block comparison is independent. Modern systems have 4-16 cores. The agent already uses tokio's multi-threaded runtime, but CPU-bound work benefits more from Rayon's work-stealing scheduler.\",\n \"category\": \"runtime\",\n \"impact\": \"medium\",\n \"affectedAreas\": [\n \"agent/src/encoder/raw.rs\",\n \"agent/Cargo.toml\"\n ],\n \"currentMetric\": \"Sequential scan of 510 blocks at 1080p, ~2-5ms per frame on single core\",\n \"expectedImprovement\": \"4-8x speedup on multi-core systems, <1ms dirty detection time\",\n \"implementation\": \"1. Add rayon = \\\"1.10\\\" to agent/Cargo.toml dependencies\\n2. Replace nested for loops with rayon's par_iter\\n3. Use (0..blocks_y).into_par_iter().flat_map(|by| (0..blocks_x).into_par_iter().filter_map(...))\\n4. Collect results into Vec<DirtyRect> with parallel collection\\n5. Rayon handles thread pool and work distribution automatically\",\n \"tradeoffs\": \"Adds ~200KB to binary size; overhead may not be worth it for small changes\",\n \"estimatedEffort\": \"small\"\n },\n {\n \"id\": \"perf-005\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Use requestAnimationFrame and OffscreenCanvas for smoother rendering\",\n \"description\": \"The RemoteViewer renders frames immediately upon receipt via putImageData. This can cause jank when frames arrive faster than display refresh rate (60Hz) or when frame processing overlaps with browser paint. Using rAF batching and OffscreenCanvas can smooth rendering.\",\n \"rationale\": \"Remote desktop streams may deliver frames at variable rates (30-60+ FPS). Browser composition is optimized for 60Hz. Rendering outside rAF can cause frames to be painted mid-composition, causing visual tearing. OffscreenCanvas can process frames on a worker thread.\",\n \"category\": \"rendering\",\n \"impact\": \"medium\",\n \"affectedAreas\": [\n \"dashboard/src/components/RemoteViewer.tsx\",\n \"dashboard/src/hooks/useRemoteSession.ts\"\n ],\n \"currentMetric\": \"Direct putImageData on frame receipt, potential for 100+ paints/sec causing dropped frames\",\n \"expectedImprovement\": \"Smooth 60 FPS rendering regardless of stream rate, reduced input latency, eliminated visual tearing\",\n \"implementation\": \"1. Store latest frame in a ref instead of rendering immediately\\n2. Use requestAnimationFrame loop that renders the latest frame\\n3. Add frame timestamp tracking to skip stale frames\\n4. For advanced: Use OffscreenCanvas in a Worker with transferControlToOffscreen()\\n5. Transfer pixel data to worker using Transferable objects (zero-copy)\\n6. Worker performs BGRA->RGBA conversion and draws to OffscreenCanvas\",\n \"tradeoffs\": \"Adds one frame of latency (~16ms at 60Hz); more complex architecture with workers\",\n \"estimatedEffort\": \"medium\"\n }\n ],\n \"metadata\": {\n \"projectType\": \"monorepo (Rust backend/agent + React frontend)\",\n \"primaryLanguages\": [\"Rust\", \"TypeScript\"],\n \"architecture\": \"Remote desktop: Agent (Windows) -> Server (Relay) -> Dashboard (Browser)\",\n \"criticalPaths\": [\n \"DXGI capture -> Zstd encode -> WebSocket -> Browser decode -> Canvas render\"\n ],\n \"filesAnalyzed\": 25,\n \"potentialImprovements\": {\n \"memoryBandwidth\": \"~500MB/sec reduction in frame copying\",\n \"renderLatency\": \"50-75% reduction in frame-to-display time\",\n \"cpuUtilization\": \"Better multi-core utilization in agent\"\n },\n \"existingOptimizations\": [\n \"Zstd compression with speed-optimized levels\",\n \"Dirty rectangle detection (block-based)\",\n \"DXGI hardware-accelerated capture\",\n \"Canvas desynchronized mode enabled\",\n \"ImageData buffer reuse\"\n ],\n \"generatedAt\": \"2026-01-11T15:35:00Z\"\n }\n}\n"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":6816,"cache_read_input_tokens":39354,"cache_creation":{"ephemeral_5m_input_tokens":6816,"ephemeral_1h_input_tokens":0},"output_tokens":3151,"service_tier":"standard"}},"requestId":"req_011CX2Q83r8yvpUz3nx39SCk","type":"assistant","uuid":"d7793ed6-e8c6-426e-8fcd-05d0afcf9f15","timestamp":"2026-01-11T22:44:32.622Z"}
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{"parentUuid":"d7793ed6-e8c6-426e-8fcd-05d0afcf9f15","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CkhURHwrayemA4ga59reHa","type":"tool_result","content":"File created successfully at: C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\.auto-claude\\ideation\\performance_optimizations_ideas.json"}]},"uuid":"d6551b6f-d288-499d-a96d-0dd171d0838f","timestamp":"2026-01-11T22:45:02.539Z","toolUseResult":{"type":"create","filePath":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect\\.auto-claude\\ideation\\performance_optimizations_ideas.json","content":"{\n \"performance_optimizations\": [\n {\n \"id\": \"perf-001\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Optimize BGRA to RGBA conversion using TypedArray operations\",\n \"description\": \"The RemoteViewer component performs per-pixel BGRA to RGBA conversion in a for-loop, processing 4 operations per pixel. For 1920x1080 resolution, this means ~8.3 million operations per frame. This can be optimized using TypedArray views and bulk operations or WebAssembly.\",\n \"rationale\": \"The current implementation in handleFrame iterates through every pixel sequentially. For real-time remote desktop at 30-60 FPS, this is a major CPU bottleneck on the browser's main thread. TypedArray operations can leverage SIMD-like optimizations in JS engines.\",\n \"category\": \"rendering\",\n \"impact\": \"high\",\n \"affectedAreas\": [\n \"dashboard/src/components/RemoteViewer.tsx\"\n ],\n \"currentMetric\": \"~8.3M operations per frame at 1080p, blocking main thread during rendering\",\n \"expectedImprovement\": \"2-4x faster pixel conversion, reduced frame render time from ~15ms to ~5ms\",\n \"implementation\": \"1. Use Uint32Array view to read BGRA pixels as single 32-bit values\\n2. Perform bitwise swap: ((bgra & 0xFF) << 16) | (bgra & 0xFF00) | ((bgra >> 16) & 0xFF) | 0xFF000000\\n3. Write to destination Uint32Array in single operation\\n4. Alternative: Use WebWorker or WebAssembly (fzstd already uses WASM) for conversion off main thread\",\n \"tradeoffs\": \"Slightly more complex code, but same cross-browser compatibility\",\n \"estimatedEffort\": \"small\"\n },\n {\n \"id\": \"perf-002\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Pre-allocate frame buffers in DXGI capture to reduce allocation churn\",\n \"description\": \"The dxgi.rs copy_frame_data method allocates a new Vec<u8> on every captured frame. At 1920x1080x4 bytes (8MB) per frame at 30+ FPS, this creates significant memory allocation pressure and GC overhead.\",\n \"rationale\": \"Each frame capture creates an ~8MB allocation that's immediately used and then dropped. Memory allocators perform best with predictable patterns. Reusing a pre-allocated buffer eliminates allocation overhead and improves cache locality.\",\n \"category\": \"memory\",\n \"impact\": \"high\",\n \"affectedAreas\": [\n \"agent/src/capture/dxgi.rs\",\n \"agent/src/capture/mod.rs\"\n ],\n \"currentMetric\": \"8MB allocation per frame, ~240MB/sec allocation at 30 FPS\",\n \"expectedImprovement\": \"Near-zero allocation overhead, 5-10% reduction in capture latency, reduced memory fragmentation\",\n \"implementation\": \"1. Add a frame_buffer: Vec<u8> field to DxgiCapturer\\n2. In copy_frame_data, resize buffer if needed: buffer.resize(dst_pitch * height, 0)\\n3. Copy directly into buffer instead of creating new Vec\\n4. Return a reference or clone only when needed for encoding\\n5. Consider double-buffering for concurrent capture/encode\",\n \"tradeoffs\": \"Slightly more complex ownership model, need to handle buffer lifetime carefully\",\n \"estimatedEffort\": \"small\"\n },\n {\n \"id\": \"perf-003\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Eliminate double frame cloning in encoder for 50% memory reduction\",\n \"description\": \"The RawEncoder.encode() method clones frame.data twice: once for data_to_compress (line 157/175/181) and once for previous_frame (line 216). For 8MB frames, this creates 16MB of redundant copying per frame.\",\n \"rationale\": \"The encoder needs to: (1) compress current data, and (2) save for next comparison. Currently it clones the input data, compresses it, then clones again. The previous_frame could store the original data directly if we compress from a reference.\",\n \"category\": \"memory\",\n \"impact\": \"high\",\n \"affectedAreas\": [\n \"agent/src/encoder/raw.rs\"\n ],\n \"currentMetric\": \"16MB memory copy per frame (2x 8MB at 1080p), ~480MB/sec at 30 FPS\",\n \"expectedImprovement\": \"50% reduction in encoder memory bandwidth, ~8MB less copying per frame\",\n \"implementation\": \"1. Change encode() to compress from &frame.data directly without cloning for full frames\\n2. Store previous_frame = Some(frame.data.clone()) BEFORE compress call only when needed\\n3. For dirty rect extraction, avoid cloning full frame - compress directly from extracted pixels\\n4. Consider using Arc<Vec<u8>> for zero-copy frame sharing between capture/encode stages\",\n \"tradeoffs\": \"Requires careful refactoring of ownership; may need to change Encoder trait signature\",\n \"estimatedEffort\": \"medium\"\n },\n {\n \"id\": \"perf-004\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Parallelize dirty rectangle detection using Rayon\",\n \"description\": \"The detect_dirty_rects function in raw.rs performs sequential block-by-block comparison. For 1920x1080 with 64x64 blocks, this is 30x17=510 blocks checked sequentially. Rayon can parallelize this across CPU cores.\",\n \"rationale\": \"Dirty rectangle detection is an embarrassingly parallel problem - each block comparison is independent. Modern systems have 4-16 cores. The agent already uses tokio's multi-threaded runtime, but CPU-bound work benefits more from Rayon's work-stealing scheduler.\",\n \"category\": \"runtime\",\n \"impact\": \"medium\",\n \"affectedAreas\": [\n \"agent/src/encoder/raw.rs\",\n \"agent/Cargo.toml\"\n ],\n \"currentMetric\": \"Sequential scan of 510 blocks at 1080p, ~2-5ms per frame on single core\",\n \"expectedImprovement\": \"4-8x speedup on multi-core systems, <1ms dirty detection time\",\n \"implementation\": \"1. Add rayon = \\\"1.10\\\" to agent/Cargo.toml dependencies\\n2. Replace nested for loops with rayon's par_iter\\n3. Use (0..blocks_y).into_par_iter().flat_map(|by| (0..blocks_x).into_par_iter().filter_map(...))\\n4. Collect results into Vec<DirtyRect> with parallel collection\\n5. Rayon handles thread pool and work distribution automatically\",\n \"tradeoffs\": \"Adds ~200KB to binary size; overhead may not be worth it for small changes\",\n \"estimatedEffort\": \"small\"\n },\n {\n \"id\": \"perf-005\",\n \"type\": \"performance_optimizations\",\n \"title\": \"Use requestAnimationFrame and OffscreenCanvas for smoother rendering\",\n \"description\": \"The RemoteViewer renders frames immediately upon receipt via putImageData. This can cause jank when frames arrive faster than display refresh rate (60Hz) or when frame processing overlaps with browser paint. Using rAF batching and OffscreenCanvas can smooth rendering.\",\n \"rationale\": \"Remote desktop streams may deliver frames at variable rates (30-60+ FPS). Browser composition is optimized for 60Hz. Rendering outside rAF can cause frames to be painted mid-composition, causing visual tearing. OffscreenCanvas can process frames on a worker thread.\",\n \"category\": \"rendering\",\n \"impact\": \"medium\",\n \"affectedAreas\": [\n \"dashboard/src/components/RemoteViewer.tsx\",\n \"dashboard/src/hooks/useRemoteSession.ts\"\n ],\n \"currentMetric\": \"Direct putImageData on frame receipt, potential for 100+ paints/sec causing dropped frames\",\n \"expectedImprovement\": \"Smooth 60 FPS rendering regardless of stream rate, reduced input latency, eliminated visual tearing\",\n \"implementation\": \"1. Store latest frame in a ref instead of rendering immediately\\n2. Use requestAnimationFrame loop that renders the latest frame\\n3. Add frame timestamp tracking to skip stale frames\\n4. For advanced: Use OffscreenCanvas in a Worker with transferControlToOffscreen()\\n5. Transfer pixel data to worker using Transferable objects (zero-copy)\\n6. Worker performs BGRA->RGBA conversion and draws to OffscreenCanvas\",\n \"tradeoffs\": \"Adds one frame of latency (~16ms at 60Hz); more complex architecture with workers\",\n \"estimatedEffort\": \"medium\"\n }\n ],\n \"metadata\": {\n \"projectType\": \"monorepo (Rust backend/agent + React frontend)\",\n \"primaryLanguages\": [\"Rust\", \"TypeScript\"],\n \"architecture\": \"Remote desktop: Agent (Windows) -> Server (Relay) -> Dashboard (Browser)\",\n \"criticalPaths\": [\n \"DXGI capture -> Zstd encode -> WebSocket -> Browser decode -> Canvas render\"\n ],\n \"filesAnalyzed\": 25,\n \"potentialImprovements\": {\n \"memoryBandwidth\": \"~500MB/sec reduction in frame copying\",\n \"renderLatency\": \"50-75% reduction in frame-to-display time\",\n \"cpuUtilization\": \"Better multi-core utilization in agent\"\n },\n \"existingOptimizations\": [\n \"Zstd compression with speed-optimized levels\",\n \"Dirty rectangle detection (block-based)\",\n \"DXGI hardware-accelerated capture\",\n \"Canvas desynchronized mode enabled\",\n \"ImageData buffer reuse\"\n ],\n \"generatedAt\": \"2026-01-11T15:35:00Z\"\n }\n}\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"d7793ed6-e8c6-426e-8fcd-05d0afcf9f15"}
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{"parentUuid":"d6551b6f-d288-499d-a96d-0dd171d0838f","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_0136vHBzHsdQ5W3fUAXuNwB4","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"I've completed the performance analysis and generated the optimization recommendations. Let me provide a summary to the user.","signature":"EqYCCkYICxgCKkAcrQtwVLjrbE9iIQrjEnyYzSthOLYqpewYgp6gQ7tBHMnUQiFhFA1pL7y0loINkvkGj8YL0exHN+R7uT2wDgydEgy4UFar5mxkvtH6GqwaDHgYGBU2wsX9BLTAQiIwVJ56VzT9zry5Z18gjoKJZg7DWqGxZJF5rxk4ytQ+iVXwVonokZz49Wlt9h+p9iyKKo0BIZKwAUWEnay6kxRGWaiZvbhYfOO0AIb0BerAHJ1jV0JZdBgQB+nK65yrahOiS9xrxD3mhdGC5zfk/X77hxutHdRhuUyjAF06UOHOrMphUeF4ysMDXmsxXaEmlOhCBnaIJlBijaGrwSZzvT5Olridq6b0Dao1iyFpAL/I/jBNtCdQ1x7QvhrKlw9sgwzMGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3308,"cache_read_input_tokens":46170,"cache_creation":{"ephemeral_5m_input_tokens":3308,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX2QEybrAB4u2hMiAz5Xw","type":"assistant","uuid":"06ed9dd2-9c93-4631-bf3c-b3977b643c68","timestamp":"2026-01-11T22:45:09.296Z"}
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{"parentUuid":"06ed9dd2-9c93-4631-bf3c-b3977b643c68","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\guru-connect","sessionId":"7f989a70-a6e7-4fbe-92c0-6756e7497ba4","version":"2.1.4","gitBranch":"main","slug":"resilient-crunching-kahn","message":{"model":"claude-opus-4-5-20251101","id":"msg_0136vHBzHsdQ5W3fUAXuNwB4","type":"message","role":"assistant","content":[{"type":"text","text":"I've analyzed the GuruConnect codebase and identified **5 high-impact performance optimization opportunities**. Here's a summary:\n\n## Performance Analysis Summary\n\n### Key Bottlenecks Identified\n\n| ID | Title | Impact | Category | Effort |\n|---|---|---|---|---|\n| perf-001 | BGRA→RGBA conversion optimization | **High** | Rendering | Small |\n| perf-002 | Pre-allocated frame buffers in DXGI | **High** | Memory | Small |\n| perf-003 | Eliminate double frame cloning in encoder | **High** | Memory | Medium |\n| perf-004 | Parallelize dirty rect detection (Rayon) | Medium | Runtime | Small |\n| perf-005 | requestAnimationFrame + OffscreenCanvas | Medium | Rendering | Medium |\n\n### Critical Path Analysis\n\nThe remote desktop data flow (`DXGI Capture → Zstd Encode → WebSocket → Browser Decode → Canvas Render`) has these bottlenecks:\n\n1. **Frontend (RemoteViewer.tsx)**: Per-pixel BGRA→RGBA conversion runs ~8.3M operations per 1080p frame on the main thread\n2. **Agent (dxgi.rs)**: Allocates 8MB per frame instead of reusing buffers (~240MB/sec allocation churn)\n3. **Agent (raw.rs)**: Clones frame data twice (16MB copying per frame)\n\n### Existing Good Practices\n\nThe codebase already implements several optimizations:\n- Zstd compression with speed-optimized levels (1-6)\n- Block-based dirty rectangle detection (64x64 blocks)\n- DXGI hardware-accelerated capture\n- Canvas `desynchronized: true` mode\n- ImageData buffer reuse\n\n### Potential Improvements\n\n- **Memory bandwidth**: ~500MB/sec reduction possible\n- **Render latency**: 50-75% reduction in frame-to-display time\n- **CPU utilization**: Better multi-core usage in agent with Rayon\n\nThe results have been written to `.auto-claude/ideation/performance_optimizations_ideas.json`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3308,"cache_read_input_tokens":46170,"cache_creation":{"ephemeral_5m_input_tokens":3308,"ephemeral_1h_input_tokens":0},"output_tokens":533,"service_tier":"standard"}},"requestId":"req_011CX2QEybrAB4u2hMiAz5Xw","type":"assistant","uuid":"2766f6d3-eaa5-4201-9fe7-20cbbfcfe2a6","timestamp":"2026-01-11T22:45:15.506Z"}
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