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claudetools/imported-conversations/auto-claude-variants/ac-plus/d957b116-9afc-4900-a067-1deb9dadc8af.jsonl
Mike Swanson 75ce1c2fd5 feat: Add Sequential Thinking to Code Review + Frontend Validation 
Enhanced code review and frontend validation with intelligent triggers:

Code Review Agent Enhancement:
- Added Sequential Thinking MCP integration for complex issues
- Triggers on 2+ rejections or 3+ critical issues
- New escalation format with root cause analysis
- Comprehensive solution strategies with trade-off evaluation
- Educational feedback to break rejection cycles
- Files: .claude/agents/code-review.md (+308 lines)
- Docs: CODE_REVIEW_ST_ENHANCEMENT.md, CODE_REVIEW_ST_TESTING.md

Frontend Design Skill Enhancement:
- Automatic invocation for ANY UI change
- Comprehensive validation checklist (200+ checkpoints)
- 8 validation categories (visual, interactive, responsive, a11y, etc.)
- 3 validation levels (quick, standard, comprehensive)
- Integration with code review workflow
- Files: .claude/skills/frontend-design/SKILL.md (+120 lines)
- Docs: UI_VALIDATION_CHECKLIST.md (462 lines), AUTOMATIC_VALIDATION_ENHANCEMENT.md (587 lines)

Settings Optimization:
- Repaired .claude/settings.local.json (fixed m365 pattern)
- Reduced permissions from 49 to 33 (33% reduction)
- Removed duplicates, sorted alphabetically
- Created SETTINGS_PERMISSIONS.md documentation

Checkpoint Command Enhancement:
- Dual checkpoint system (git + database)
- Saves session context to API for cross-machine recall
- Includes git metadata in database context
- Files: .claude/commands/checkpoint.md (+139 lines)

Decision Rationale:
- Sequential Thinking MCP breaks rejection cycles by identifying root causes
- Automatic frontend validation catches UI issues before code review
- Dual checkpoints enable complete project memory across machines
- Settings optimization improves maintainability

Total: 1,200+ lines of documentation and enhancements

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-17 16:23:52 -07:00

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{"type":"queue-operation","operation":"dequeue","timestamp":"2026-01-12T18:53:43.509Z","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af"}
{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","type":"user","message":{"role":"user","content":"## YOUR ROLE - UI/UX IMPROVEMENTS IDEATION AGENT\n\nYou are the **UI/UX Improvements Ideation Agent** in the Auto-Build framework. Your job is to analyze the application visually (using browser automation) and identify concrete improvements to the user interface and experience.\n\n**Key Principle**: See the app as users see it. Identify friction points, inconsistencies, and opportunities for visual polish that will improve the user experience.\n\n---\n\n## YOUR CONTRACT\n\n**Input Files**:\n- `project_index.json` - Project structure and tech stack\n- `ideation_context.json` - Existing features, roadmap items, kanban tasks\n\n**Tools Available**:\n- Puppeteer MCP for browser automation and screenshots\n- File system access for analyzing components\n\n**Output**: Append to `ideation.json` with UI/UX improvement ideas\n\nEach idea MUST have this structure:\n```json\n{\n \"id\": \"uiux-001\",\n \"type\": \"ui_ux_improvements\",\n \"title\": \"Short descriptive title\",\n \"description\": \"What the improvement does\",\n \"rationale\": \"Why this improves UX\",\n \"category\": \"usability|accessibility|performance|visual|interaction\",\n \"affected_components\": [\"Component1.tsx\", \"Component2.tsx\"],\n \"screenshots\": [\"screenshot_before.png\"],\n \"current_state\": \"Description of current state\",\n \"proposed_change\": \"Specific change to make\",\n \"user_benefit\": \"How users benefit from this change\",\n \"status\": \"draft\",\n \"created_at\": \"ISO timestamp\"\n}\n```\n\n---\n\n## PHASE 0: LOAD CONTEXT AND DETERMINE APP URL\n\n```bash\n# Read project structure\ncat project_index.json\n\n# Read ideation context\ncat ideation_context.json\n\n# Look for dev server configuration\ncat package.json 2>/dev/null | grep -A5 '\"scripts\"'\ncat vite.config.ts 2>/dev/null | head -30\ncat next.config.js 2>/dev/null | head -20\n\n# Check for running dev server ports\nlsof -i :3000 2>/dev/null | head -3\nlsof -i :5173 2>/dev/null | head -3\nlsof -i :8080 2>/dev/null | head -3\n\n# Check for graph hints (historical insights from Graphiti)\ncat graph_hints.json 2>/dev/null || echo \"No graph hints available\"\n```\n\nDetermine:\n- What type of frontend (React, Vue, vanilla, etc.)\n- What URL to visit (usually localhost:3000 or :5173)\n- Is the dev server running?\n\n### Graph Hints Integration\n\nIf `graph_hints.json` exists and contains hints for your ideation type (`ui_ux_improvements`), use them to:\n1. **Avoid duplicates**: Don't suggest UI improvements that have already been tried or rejected\n2. **Build on success**: Prioritize UI patterns that worked well in the past\n3. **Learn from failures**: Avoid design approaches that previously caused issues\n4. **Leverage context**: Use historical component/design knowledge to make better suggestions\n\n---\n\n## PHASE 1: LAUNCH BROWSER AND CAPTURE INITIAL STATE\n\nUse Puppeteer MCP to navigate to the application:\n\n```\n<puppeteer_navigate>\nurl: http://localhost:3000\nwait_until: networkidle2\n</puppeteer_navigate>\n```\n\nTake a screenshot of the landing page:\n\n```\n<puppeteer_screenshot>\npath: ideation/screenshots/landing_page.png\nfull_page: true\n</puppeteer_screenshot>\n```\n\nAnalyze:\n- Overall visual hierarchy\n- Color consistency\n- Typography\n- Spacing and alignment\n- Navigation clarity\n\n---\n\n## PHASE 2: EXPLORE KEY USER FLOWS\n\nNavigate through the main user flows and capture screenshots:\n\n### 2.1 Navigation and Layout\n```\n<puppeteer_screenshot>\npath: ideation/screenshots/navigation.png\nselector: nav, header, .sidebar\n</puppeteer_screenshot>\n```\n\nLook for:\n- Is navigation clear and consistent?\n- Are active states visible?\n- Is there a clear hierarchy?\n\n### 2.2 Interactive Elements\nClick on buttons, forms, and interactive elements:\n\n```\n<puppeteer_click>\nselector: button, .btn, [type=\"submit\"]\n</puppeteer_click>\n\n<puppeteer_screenshot>\npath: ideation/screenshots/interactive_state.png\n</puppeteer_screenshot>\n```\n\nLook for:\n- Hover states\n- Focus states\n- Loading states\n- Error states\n- Success feedback\n\n### 2.3 Forms and Inputs\nIf forms exist, analyze them:\n\n```\n<puppeteer_screenshot>\npath: ideation/screenshots/forms.png\nselector: form, .form-container\n</puppeteer_screenshot>\n```\n\nLook for:\n- Label clarity\n- Placeholder text\n- Validation messages\n- Input spacing\n- Submit button placement\n\n### 2.4 Empty States\nCheck for empty state handling:\n\n```\n<puppeteer_screenshot>\npath: ideation/screenshots/empty_state.png\n</puppeteer_screenshot>\n```\n\nLook for:\n- Helpful empty state messages\n- Call to action guidance\n- Visual appeal of empty states\n\n### 2.5 Mobile Responsiveness\nResize viewport and check responsive behavior:\n\n```\n<puppeteer_set_viewport>\nwidth: 375\nheight: 812\n</puppeteer_set_viewport>\n\n<puppeteer_screenshot>\npath: ideation/screenshots/mobile_view.png\nfull_page: true\n</puppeteer_screenshot>\n```\n\nLook for:\n- Mobile navigation\n- Touch targets (min 44x44px)\n- Content reflow\n- Readable text sizes\n\n---\n\n## PHASE 3: ACCESSIBILITY AUDIT\n\nCheck for accessibility issues:\n\n```\n<puppeteer_evaluate>\n// Check for accessibility basics\nconst audit = {\n images_without_alt: document.querySelectorAll('img:not([alt])').length,\n buttons_without_text: document.querySelectorAll('button:empty').length,\n inputs_without_labels: document.querySelectorAll('input:not([aria-label]):not([id])').length,\n low_contrast_text: 0, // Would need more complex check\n missing_lang: !document.documentElement.lang,\n missing_title: !document.title\n};\nreturn JSON.stringify(audit);\n</puppeteer_evaluate>\n```\n\nAlso check:\n- Color contrast ratios\n- Keyboard navigation\n- Screen reader compatibility\n- Focus indicators\n\n---\n\n## PHASE 4: ANALYZE COMPONENT CONSISTENCY\n\nRead the component files to understand patterns:\n\n```bash\n# Find UI components\nls -la src/components/ 2>/dev/null\nls -la src/components/ui/ 2>/dev/null\n\n# Look at button variants\ncat src/components/ui/button.tsx 2>/dev/null | head -50\ncat src/components/Button.tsx 2>/dev/null | head -50\n\n# Look at form components\ncat src/components/ui/input.tsx 2>/dev/null | head -50\n\n# Check for design tokens\ncat src/styles/tokens.css 2>/dev/null\ncat tailwind.config.js 2>/dev/null | head -50\n```\n\nLook for:\n- Inconsistent styling between components\n- Missing component variants\n- Hardcoded values that should be tokens\n- Accessibility attributes\n\n---\n\n## PHASE 5: IDENTIFY IMPROVEMENT OPPORTUNITIES\n\nFor each category, think deeply:\n\n### A. Usability Issues\n- Confusing navigation\n- Hidden actions\n- Unclear feedback\n- Poor form UX\n- Missing shortcuts\n\n### B. Accessibility Issues\n- Missing alt text\n- Poor contrast\n- Keyboard traps\n- Missing ARIA labels\n- Focus management\n\n### C. Performance Perception\n- Missing loading indicators\n- Slow perceived response\n- Layout shifts\n- Missing skeleton screens\n- No optimistic updates\n\n### D. Visual Polish\n- Inconsistent spacing\n- Alignment issues\n- Typography hierarchy\n- Color inconsistencies\n- Missing hover/active states\n\n### E. Interaction Improvements\n- Missing animations\n- Jarring transitions\n- No micro-interactions\n- Missing gesture support\n- Poor touch targets\n\n---\n\n## PHASE 6: PRIORITIZE AND DOCUMENT\n\nFor each issue found, use ultrathink to analyze:\n\n```\n<ultrathink>\nUI/UX Issue Analysis: [title]\n\nWhat I observed:\n- [Specific observation from screenshot/analysis]\n\nImpact on users:\n- [How this affects the user experience]\n\nExisting patterns to follow:\n- [Similar component/pattern in codebase]\n\nProposed fix:\n- [Specific change to make]\n- [Files to modify]\n- [Code changes needed]\n\nPriority:\n- Severity: [low/medium/high]\n- Effort: [low/medium/high]\n- User impact: [low/medium/high]\n</ultrathink>\n```\n\n---\n\n## PHASE 7: CREATE/UPDATE IDEATION.JSON (MANDATORY)\n\n**You MUST create or update ideation.json with your ideas.**\n\n```bash\n# Check if file exists\nif [ -f ideation.json ]; then\n cat ideation.json\nfi\n```\n\nCreate the UI/UX ideas structure:\n\n```bash\ncat > ui_ux_ideas.json << 'EOF'\n{\n \"ui_ux_improvements\": [\n {\n \"id\": \"uiux-001\",\n \"type\": \"ui_ux_improvements\",\n \"title\": \"[Title]\",\n \"description\": \"[What the improvement does]\",\n \"rationale\": \"[Why this improves UX]\",\n \"category\": \"[usability|accessibility|performance|visual|interaction]\",\n \"affected_components\": [\"[Component.tsx]\"],\n \"screenshots\": [\"[screenshot_path.png]\"],\n \"current_state\": \"[Current state description]\",\n \"proposed_change\": \"[Specific proposed change]\",\n \"user_benefit\": \"[How users benefit]\",\n \"status\": \"draft\",\n \"created_at\": \"[ISO timestamp]\"\n }\n ]\n}\nEOF\n```\n\nVerify:\n```bash\ncat ui_ux_ideas.json\n```\n\n---\n\n## VALIDATION\n\nAfter creating ideas:\n\n1. Is it valid JSON?\n2. Does each idea have a unique id starting with \"uiux-\"?\n3. Does each idea have a valid category?\n4. Does each idea have affected_components with real component paths?\n5. Does each idea have specific current_state and proposed_change?\n\n---\n\n## COMPLETION\n\nSignal completion:\n\n```\n=== UI/UX IDEATION COMPLETE ===\n\nIdeas Generated: [count]\n\nSummary by Category:\n- Usability: [count]\n- Accessibility: [count]\n- Performance: [count]\n- Visual: [count]\n- Interaction: [count]\n\nScreenshots saved to: ideation/screenshots/\n\nui_ux_ideas.json created successfully.\n\nNext phase: [Low-Hanging Fruit or High-Value or Complete]\n```\n\n---\n\n## CRITICAL RULES\n\n1. **ACTUALLY LOOK AT THE APP** - Use Puppeteer to see real UI state\n2. **BE SPECIFIC** - Don't say \"improve buttons\", say \"add hover state to primary button in Header.tsx\"\n3. **REFERENCE SCREENSHOTS** - Include paths to screenshots that show the issue\n4. **PROPOSE CONCRETE CHANGES** - Specific CSS/component changes, not vague suggestions\n5. **CONSIDER EXISTING PATTERNS** - Suggest fixes that match the existing design system\n6. **PRIORITIZE USER IMPACT** - Focus on changes that meaningfully improve UX\n\n---\n\n## FALLBACK IF PUPPETEER UNAVAILABLE\n\nIf Puppeteer MCP is not available, analyze components statically:\n\n```bash\n# Analyze component files directly\nfind . -name \"*.tsx\" -o -name \"*.jsx\" | xargs grep -l \"className\\|style\" | head -20\n\n# Look for styling patterns\ngrep -r \"hover:\\|focus:\\|active:\" --include=\"*.tsx\" . | head -30\n\n# Check for accessibility attributes\ngrep -r \"aria-\\|role=\\|tabIndex\" --include=\"*.tsx\" . | head -30\n\n# Look for loading states\ngrep -r \"loading\\|isLoading\\|pending\" --include=\"*.tsx\" . | head -20\n```\n\nDocument findings based on code analysis with note that visual verification is recommended.\n\n---\n\n## BEGIN\n\nStart by reading project_index.json, then launch the browser to explore the application visually.\n\n\n---\n\n**Output Directory**: C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.auto-claude\\ideation\n**Project Directory**: C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\n**Max Ideas**: 5\n\n\n**Ideation Context**: C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.auto-claude\\ideation\\ideation_context.json\n**Project Index**: C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.auto-claude\\ideation\\project_index.json\n**Output File**: C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.auto-claude\\ideation\\ui_ux_improvements_ideas.json\n**Max Ideas**: 5\n\nGenerate up to 5 UI/UX Improvements ideas.\nAvoid duplicating features that are already planned (see ideation_context.json).\nOutput your ideas to ui_ux_improvements_ideas.json.\n\n"},"uuid":"5d363f10-bc00-4c15-aa9e-f30cd4c35bbb","timestamp":"2026-01-12T18:53:44.519Z"}
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{"parentUuid":"fc2d83de-de14-472f-aaee-91b65014a0eb","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VvK2v8CPeLWYbxpzdF64oq","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→ ],\n 13→ \"include_roadmap_context\": true,\n 14→ \"include_kanban_context\": true,\n 15→ \"max_ideas_per_type\": 5\n 16→ },\n 17→ \"created_at\": \"2026-01-12T11:53:31.422574\"\n 18→}\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":"bf911d3a-c3eb-4eaf-975b-b3e7a1357b5b","timestamp":"2026-01-12T18:54:27.664Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.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 ],\n \"include_roadmap_context\": true,\n \"include_kanban_context\": true,\n \"max_ideas_per_type\": 5\n },\n \"created_at\": \"2026-01-12T11:53:31.422574\"\n}","numLines":18,"startLine":1,"totalLines":18}},"sourceToolAssistantUUID":"fc2d83de-de14-472f-aaee-91b65014a0eb"}
{"parentUuid":"c8dc08d1-2026-4a37-a02d-c2de013722db","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LySKR5kZhmGBiErFKEwQJT","type":"tool_result","content":" 1→{\n 2→ \"enabled\": true,\n 3→ \"hints_by_type\": {\n 4→ \"code_improvements\": [],\n 5→ \"ui_ux_improvements\": [],\n 6→ \"security_hardening\": []\n 7→ },\n 8→ \"total_hints\": 0,\n 9→ \"created_at\": \"2026-01-12T11:53:31.431565\"\n 10→}\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":"6f2fc907-800b-49c8-b3a9-e214daddf899","timestamp":"2026-01-12T18:54:27.666Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.auto-claude\\ideation\\graph_hints.json","content":"{\n \"enabled\": true,\n \"hints_by_type\": {\n \"code_improvements\": [],\n \"ui_ux_improvements\": [],\n \"security_hardening\": []\n },\n \"total_hints\": 0,\n \"created_at\": \"2026-01-12T11:53:31.431565\"\n}","numLines":10,"startLine":1,"totalLines":10}},"sourceToolAssistantUUID":"c8dc08d1-2026-4a37-a02d-c2de013722db"}
{"parentUuid":"6f2fc907-800b-49c8-b3a9-e214daddf899","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_018Nt1oZeVZciwzvQExo8HBZ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The project context is minimal. Let me understand the project better by looking at:\n1. The package.json for tech stack and scripts\n2. The actual source files to understand what kind of app this is\n3. Any component files","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1091,"cache_read_input_tokens":19691,"cache_creation":{"ephemeral_5m_input_tokens":1091,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3zTyqKBFNLpH9mS9u7W","type":"assistant","uuid":"bcd927d2-6ff4-478e-9dd3-c01aeb55fb86","timestamp":"2026-01-12T18:54:40.372Z"}
{"parentUuid":"bcd927d2-6ff4-478e-9dd3-c01aeb55fb86","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_018Nt1oZeVZciwzvQExo8HBZ","type":"message","role":"assistant","content":[{"type":"text","text":"Let me understand the project structure and tech stack better:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1091,"cache_read_input_tokens":19691,"cache_creation":{"ephemeral_5m_input_tokens":1091,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3zTyqKBFNLpH9mS9u7W","type":"assistant","uuid":"abeee588-ab8a-4200-b852-5a63d520e7e5","timestamp":"2026-01-12T18:54:40.832Z"}
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{"parentUuid":"796c33b0-bf42-4158-8bb7-c552a8e796fc","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_018Nt1oZeVZciwzvQExo8HBZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TSAheyV1gdNkjYzjWuVoV7","name":"Glob","input":{"pattern":"**/*.jsx","path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1091,"cache_read_input_tokens":19691,"cache_creation":{"ephemeral_5m_input_tokens":1091,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3zTyqKBFNLpH9mS9u7W","type":"assistant","uuid":"3466c042-c529-4f14-a505-b079e9085530","timestamp":"2026-01-12T18:54:43.508Z"}
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{"parentUuid":"c44bdbe3-7de5-4d09-9451-28985bce5d17","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"<tool_use_error>File does not exist.</tool_use_error>","is_error":true,"tool_use_id":"toolu_0186e8pjVkie22hrUmtqe4zg"}]},"uuid":"78700c93-cd26-446f-a6fc-541e3d6a3421","timestamp":"2026-01-12T18:54:45.038Z","toolUseResult":"Error: File does not exist.","sourceToolAssistantUUID":"c44bdbe3-7de5-4d09-9451-28985bce5d17"}
{"parentUuid":"796c33b0-bf42-4158-8bb7-c552a8e796fc","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Li7GxhA5FTNah2kHzRghtx","type":"tool_result","content":"No files found"}]},"uuid":"377e6932-fd8e-4a25-accf-44e81281e863","timestamp":"2026-01-12T18:55:23.140Z","toolUseResult":{"filenames":[],"durationMs":1264,"numFiles":0,"truncated":false},"sourceToolAssistantUUID":"796c33b0-bf42-4158-8bb7-c552a8e796fc"}
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{"parentUuid":"77461697-c046-4537-af4e-5d730542da72","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Tz3Xvt2D8wvQYioUvgum9Y","type":"tool_result","content":"No files found"}]},"uuid":"9b64303d-08f5-43c1-b4c3-2c8ec70d009f","timestamp":"2026-01-12T18:55:23.212Z","toolUseResult":{"filenames":[],"durationMs":1336,"numFiles":0,"truncated":false},"sourceToolAssistantUUID":"77461697-c046-4537-af4e-5d730542da72"}
{"parentUuid":"9b64303d-08f5-43c1-b4c3-2c8ec70d009f","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_01SXxRouiGTNscXhzdrwa6au","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"No frontend framework files found. Let me check what files actually exist in the project to understand its structure.","signature":"Ep4CCkYICxgCKkBZbZ1RGMtVeWcF80rfv2KcpfB3XG6kDwi4FsDaqwPM2J0e81/6kslF1udAq4oRg8egvJie/RG5twbPMixG8paeEgz9tz1tWLun9PzOKiMaDArKF6XGBGf21TzTLyIwQ0DjwYgwUXLosTcPLGAZErOC+6T7zVmcTLgrDN1UFdHzVmhdTt7HJYV1I9FL/vSZKoUBHBzKdRoi0xVICSuJPzQvl1dBnd45ZPxBsQuz+MHUnYiB4GGq2m5TSnULcxTZ4A5lPclsAmGdW2vuTT3Vyq+1SX/VhtDORbZeGLS1RSvSzd4aVrttfjMFn/YMIft/rYN+wI72mPHdaJKfAlWJgdccx7zIcrm/NWgTk3CbOIM4eTaf+To6UBgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":517,"cache_read_input_tokens":20782,"cache_creation":{"ephemeral_5m_input_tokens":517,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3zY1AYUri7fW79nHfK1","type":"assistant","uuid":"9443c9e5-21f0-4236-bc9f-dce2daf5c76b","timestamp":"2026-01-12T18:55:35.767Z"}
{"parentUuid":"9443c9e5-21f0-4236-bc9f-dce2daf5c76b","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_01SXxRouiGTNscXhzdrwa6au","type":"message","role":"assistant","content":[{"type":"text","text":"Let me explore the project structure more broadly:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":517,"cache_read_input_tokens":20782,"cache_creation":{"ephemeral_5m_input_tokens":517,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3zY1AYUri7fW79nHfK1","type":"assistant","uuid":"c56d8e9b-328c-467e-97d7-0198122cd5c0","timestamp":"2026-01-12T18:55:36.064Z"}
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{"parentUuid":"97d45dab-90e5-4261-8b78-6078adb6c505","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_0158dxyBsdVQPjKvmq8Nm9Kt","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"This appears to be a very early-stage project - it's basically an empty repository with just the Auto-Claude framework configuration files. There's no frontend code, no HTML, no JavaScript/TypeScript components - just configuration and spec files.\n\nSince there's no actual frontend application to analyze visually, I need to:\n1. Acknowledge that the project is in early/planning stages\n2. Look at the spec file to understand what UI is planned\n3. Generate UI/UX improvement ideas based on the planned application design\n\nLet me read the spec file to understand what kind of application is being built.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2461,"cache_read_input_tokens":21299,"cache_creation":{"ephemeral_5m_input_tokens":2461,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3zbrBA93mRjzUUc4Tt5","type":"assistant","uuid":"894e2743-2292-4711-99bc-557f58165ae1","timestamp":"2026-01-12T18:56:21.795Z"}
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{"parentUuid":"2c08a85d-5441-4081-88d4-32bc1207def1","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_0158dxyBsdVQPjKvmq8Nm9Kt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RvpUBxnxMxePQdZY2Yx7ck","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.auto-claude\\specs\\001-multi-llm-agentic-development-platform\\spec.md"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2461,"cache_read_input_tokens":21299,"cache_creation":{"ephemeral_5m_input_tokens":2461,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3zbrBA93mRjzUUc4Tt5","type":"assistant","uuid":"09b57a60-17af-4871-a53c-9afdcbc3627e","timestamp":"2026-01-12T18:56:23.534Z"}
{"parentUuid":"09b57a60-17af-4871-a53c-9afdcbc3627e","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_0158dxyBsdVQPjKvmq8Nm9Kt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01P8CY7WfZ3FVYmt81ygJsBh","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.auto-claude\\specs\\001-multi-llm-agentic-development-platform\\implementation_plan.json"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2461,"cache_read_input_tokens":21299,"cache_creation":{"ephemeral_5m_input_tokens":2461,"ephemeral_1h_input_tokens":0},"output_tokens":349,"service_tier":"standard"}},"requestId":"req_011CX3zbrBA93mRjzUUc4Tt5","type":"assistant","uuid":"7b2cf143-fa8d-4656-ba26-8c39ef810f3b","timestamp":"2026-01-12T18:56:24.357Z"}
{"parentUuid":"09b57a60-17af-4871-a53c-9afdcbc3627e","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RvpUBxnxMxePQdZY2Yx7ck","type":"tool_result","content":" 1→# Specification: Multi-LLM Agentic Development Platform\n 2→\n 3→## Overview\n 4→\n 5→Build an advanced agentic development platform that orchestrates multiple AI models (Claude, Gemini, Grok, Ollama) for intelligent software development. The system strategically routes tasks to models best suited for them, implements cross-model validation for quality assurance, and provides cost optimization through intelligent balancing of cloud and local models. This greenfield project extends concepts from Autocoder 2.0/Auto-Claude with multi-model orchestration, adaptive requirements management, and mid-project course correction capabilities.\n 6→\n 7→## Workflow Type\n 8→\n 9→**Type**: Feature (Greenfield Development)\n 10→\n 11→**Rationale**: Despite referencing existing Autocoder 2.0/Auto-Claude patterns, the project index shows an empty codebase with no existing code to refactor. This is building new functionality from scratch, requiring full-stack development across 5 services, 4+ external LLM provider integrations, database schema design, and novel architectural patterns for multi-model orchestration.\n 12→\n 13→## Task Scope\n 14→\n 15→### Services Involved\n 16→\n 17→- **orchestration-service** (primary) - Core task decomposition, model routing, parallel execution engine\n 18→- **llm-wrapper-service** (primary) - Unified API abstraction for all LLM providers via LiteLLM\n 19→- **spec-management-service** (primary) - Adaptive spec system with interview and versioning\n 20→- **skill-service** (integration) - Extensible plugin architecture for specialized capabilities\n 21→- **version-control-service** (integration) - Git/Gitea automation for branching, commits, PRs\n 22→- **frontend-ui** (integration) - React/TypeScript project management dashboard\n 23→\n 24→### This Task Will:\n 25→\n 26→- [ ] Create Python/FastAPI backend with modular service architecture\n 27→- [ ] Implement unified LLM wrapper supporting Claude, Gemini, Grok, and Ollama\n 28→- [ ] Build task orchestration engine with model-specific routing\n 29→- [ ] Implement cross-model validation for quality assurance\n 30→- [ ] Create adaptive spec system with interview and re-interview workflows\n 31→- [ ] Build extensible skill/addon plugin architecture\n 32→- [ ] Integrate Git/Gitea for version control automation\n 33→- [ ] Implement checkpoint system for project steering and course correction\n 34→- [ ] Create React/TypeScript frontend for project management\n 35→- [ ] Design database schema for specs, decisions, task history, model interactions\n 36→- [ ] Build MCP server for feature graph and skill management\n 37→\n 38→### Out of Scope:\n 39→\n 40→- Production deployment infrastructure (Kubernetes, cloud deployment)\n 41→- Enterprise SSO/SAML authentication\n 42→- Multi-tenant user management\n 43→- Billing and subscription management\n 44→- Mobile application\n 45→- Integration with CI/CD pipelines (beyond basic Git operations)\n 46→\n 47→## Service Context\n 48→\n 49→### Backend Orchestration Service\n 50→\n 51→**Tech Stack:**\n 52→- Language: Python 3.11+\n 53→- Framework: FastAPI with uvicorn ASGI server\n 54→- Key packages: `fastapi[standard]`, `pydantic`, `httpx`, `sqlalchemy`\n 55→- Key directories: `backend/`, `backend/services/`, `backend/api/`, `backend/models/`\n 56→\n 57→**Entry Point:** `backend/main.py`\n 58→\n 59→**How to Run:**\n 60→```bash\n 61→cd backend\n 62→pip install -r requirements.txt\n 63→uvicorn main:app --reload --port 8000\n 64→```\n 65→\n 66→**Port:** 8000\n 67→\n 68→**API Documentation:** http://localhost:8000/docs (Swagger) and http://localhost:8000/redoc\n 69→\n 70→---\n 71→\n 72→### LLM Wrapper Service\n 73→\n 74→**Tech Stack:**\n 75→- Language: Python 3.11+\n 76→- Framework: LiteLLM for unified interface\n 77→- Key packages: `litellm`, `anthropic`, `google-genai`, `xai-sdk`, `ollama`\n 78→- Key directories: `backend/llm/`, `backend/llm/providers/`, `backend/llm/routing/`\n 79→\n 80→**Entry Point:** `backend/llm/__init__.py`\n 81→\n 82→**Configuration:**\n 83→```bash\n 84→# Environment variables required\n 85→ANTHROPIC_API_KEY=your_anthropic_key\n 86→GEMINI_API_KEY=your_gemini_key\n 87→XAI_API_KEY=your_xai_key\n 88→# Ollama uses local server, no API key needed\n 89→```\n 90→\n 91→---\n 92→\n 93→### Frontend UI\n 94→\n 95→**Tech Stack:**\n 96→- Language: TypeScript\n 97→- Framework: React with Vite\n 98→- Key packages: `react`, `react-dom`, `typescript`, `@tanstack/react-query`\n 99→- Key directories: `frontend/src/`, `frontend/src/components/`, `frontend/src/pages/`\n 100→\n 101→**Entry Point:** `frontend/src/main.tsx`\n 102→\n 103→**How to Run:**\n 104→```bash\n 105→cd frontend\n 106→npm install\n 107→npm run dev\n 108→```\n 109→\n 110→**Port:** 5173\n 111→\n 112→---\n 113→\n 114→### MCP Server\n 115→\n 116→**Tech Stack:**\n 117→- Language: Python 3.11+\n 118→- Framework: MCP SDK (FastMCP)\n 119→- Key packages: `mcp>=1.25,<2`\n 120→- Key directories: `mcp-server/`, `mcp-server/tools/`, `mcp-server/resources/`\n 121→\n 122→**Entry Point:** `mcp-server/server.py`\n 123→\n 124→**How to Run:**\n 125→```bash\n 126→cd mcp-server\n 127→python server.py\n 128→```\n 129→\n 130→## Files to Create\n 131→\n 132→| File | Service | Purpose |\n 133→|------|---------|---------|\n 134→| `backend/main.py` | orchestration | FastAPI application entry point |\n 135→| `backend/requirements.txt` | orchestration | Python dependencies |\n 136→| `backend/api/routes/__init__.py` | orchestration | API route aggregation |\n 137→| `backend/api/routes/tasks.py` | orchestration | Task management endpoints |\n 138→| `backend/api/routes/specs.py` | orchestration | Spec management endpoints |\n 139→| `backend/api/routes/models.py` | orchestration | LLM provider status endpoints |\n 140→| `backend/services/orchestrator.py` | orchestration | Task decomposition and routing |\n 141→| `backend/services/spec_manager.py` | spec-management | Spec CRUD and versioning |\n 142→| `backend/services/skill_registry.py` | skill-service | Skill loading and execution |\n 143→| `backend/llm/unified_client.py` | llm-wrapper | LiteLLM wrapper with routing logic |\n 144→| `backend/llm/providers/claude.py` | llm-wrapper | Claude-specific optimizations |\n 145→| `backend/llm/providers/gemini.py` | llm-wrapper | Gemini-specific optimizations |\n 146→| `backend/llm/providers/grok.py` | llm-wrapper | Grok-specific optimizations |\n 147→| `backend/llm/providers/ollama.py` | llm-wrapper | Ollama local model integration |\n 148→| `backend/llm/routing/router.py` | llm-wrapper | Task-to-model routing logic |\n 149→| `backend/llm/routing/cost_tracker.py` | llm-wrapper | Token usage and cost tracking |\n 150→| `backend/llm/validation/cross_validate.py` | llm-wrapper | Cross-model validation logic |\n 151→| `backend/models/database.py` | orchestration | SQLAlchemy database setup |\n 152→| `backend/models/spec.py` | orchestration | Spec data model |\n 153→| `backend/models/task.py` | orchestration | Task data model |\n 154→| `backend/models/decision.py` | orchestration | Decision tracking model |\n 155→| `backend/git/git_service.py` | version-control | GitPython wrapper |\n 156→| `backend/git/gitea_service.py` | version-control | Gitea API integration |\n 157→| `backend/git/commit_generator.py` | version-control | Conventional commit messages |\n 158→| `mcp-server/server.py` | mcp | FastMCP server entry |\n 159→| `mcp-server/tools/spec_tools.py` | mcp | Spec management MCP tools |\n 160→| `mcp-server/tools/task_tools.py` | mcp | Task management MCP tools |\n 161→| `mcp-server/resources/project_state.py` | mcp | Project state MCP resources |\n 162→| `frontend/package.json` | frontend | NPM dependencies |\n 163→| `frontend/vite.config.ts` | frontend | Vite configuration |\n 164→| `frontend/src/main.tsx` | frontend | React entry point |\n 165→| `frontend/src/App.tsx` | frontend | Main application component |\n 166→| `frontend/src/pages/Dashboard.tsx` | frontend | Project dashboard |\n 167→| `frontend/src/pages/SpecEditor.tsx` | frontend | Spec editing interface |\n 168→| `frontend/src/pages/TaskViewer.tsx` | frontend | Task status viewer |\n 169→| `frontend/src/components/ModelStatus.tsx` | frontend | LLM provider status display |\n 170→| `frontend/src/components/CostTracker.tsx` | frontend | Cost tracking visualization |\n 171→| `docker-compose.yml` | infrastructure | Container orchestration |\n 172→| `.env.example` | infrastructure | Environment variable template |\n 173→\n 174→## Patterns to Follow\n 175→\n 176→### LiteLLM Unified Interface Pattern\n 177→\n 178→Use LiteLLM as the unified API wrapper for all LLM providers:\n 179→\n 180→```python\n 181→from litellm import completion, acompletion\n 182→\n 183→# Unified interface - same code for any provider\n 184→async def call_llm(model: str, messages: list, **kwargs) -> str:\n 185→ response = await acompletion(\n 186→ model=model, # e.g., \"claude-3-opus\", \"gemini/gemini-pro\", \"ollama/llama3\"\n 187→ messages=messages,\n 188→ **kwargs\n 189→ )\n 190→ return response.choices[0].message.content\n 191→```\n 192→\n 193→**Key Points:**\n 194→- Model names follow `provider/model` format for non-OpenAI models\n 195→- Built-in cost tracking via `litellm.track_cost = True`\n 196→- Automatic retries and fallbacks configurable\n 197→- Same interface works across 100+ LLM providers\n 198→\n 199→---\n 200→\n 201→### FastAPI Service Pattern\n 202→\n 203→```python\n 204→from fastapi import FastAPI, Depends, HTTPException\n 205→from pydantic import BaseModel\n 206→\n 207→app = FastAPI(title=\"Multi-LLM Platform\")\n 208→\n 209→class TaskCreate(BaseModel):\n 210→ description: str\n 211→ priority: str = \"normal\"\n 212→\n 213→@app.post(\"/tasks/\", response_model=Task)\n 214→async def create_task(task: TaskCreate, db: Session = Depends(get_db)):\n 215→ \"\"\"Create a new task with automatic model routing.\"\"\"\n 216→ return await orchestrator.create_task(task, db)\n 217→```\n 218→\n 219→**Key Points:**\n 220→- Use Pydantic models for request/response validation\n 221→- Dependency injection for database sessions\n 222→- Async endpoints for non-blocking LLM calls\n 223→\n 224→---\n 225→\n 226→### Async LLM Client Pattern\n 227→\n 228→```python\n 229→from anthropic import AsyncAnthropic\n 230→from google import genai\n 231→from xai_sdk import AsyncClient as XAIClient\n 232→from ollama import AsyncClient as OllamaClient\n 233→\n 234→# All providers support async clients for concurrent operations\n 235→async def parallel_validation(prompt: str, models: list[str]) -> list[str]:\n 236→ tasks = [call_llm(model, prompt) for model in models]\n 237→ responses = await asyncio.gather(*tasks, return_exceptions=True)\n 238→ return [r for r in responses if not isinstance(r, Exception)]\n 239→```\n 240→\n 241→---\n 242→\n 243→### MCP Server Pattern\n 244→\n 245→```python\n 246→from mcp.server.fastmcp import FastMCP\n 247→\n 248→mcp = FastMCP(\"multi-llm-platform\")\n 249→\n 250→@mcp.tool()\n 251→async def create_spec(description: str) -> dict:\n 252→ \"\"\"Create a new project specification.\"\"\"\n 253→ return await spec_service.create(description)\n 254→\n 255→@mcp.resource(\"project://state\")\n 256→async def get_project_state() -> str:\n 257→ \"\"\"Get current project state.\"\"\"\n 258→ return json.dumps(state_manager.get_state())\n 259→```\n 260→\n 261→---\n 262→\n 263→### Git Integration Pattern\n 264→\n 265→```python\n 266→from git import Repo\n 267→\n 268→def create_feature_branch(repo_path: str, feature_name: str) -> str:\n 269→ \"\"\"Create a feature branch following conventional naming.\"\"\"\n 270→ repo = Repo(repo_path)\n 271→ branch_name = f\"feature/{feature_name.lower().replace(' ', '-')}\"\n 272→ new_branch = repo.create_head(branch_name)\n 273→ new_branch.checkout()\n 274→ return branch_name\n 275→\n 276→def commit_with_message(repo_path: str, files: list, message: str):\n 277→ \"\"\"Commit with conventional commit message format.\"\"\"\n 278→ repo = Repo(repo_path)\n 279→ repo.index.add(files)\n 280→ repo.index.commit(message)\n 281→```\n 282→\n 283→**Gotcha:** GitPython leaks resources in long-running processes. For daemon usage, spawn as subprocess.\n 284→\n 285→## Requirements\n 286→\n 287→### Functional Requirements\n 288→\n 289→1. **Multi-LLM Provider Integration**\n 290→ - Description: Support Claude, Gemini, Grok, and Ollama through unified interface\n 291→ - Acceptance: Can make requests to all 4 providers and receive responses\n 292→\n 293→2. **Strategic Model Routing**\n 294→ - Description: Route tasks to optimal models based on task characteristics\n 295→ - Acceptance: Routing logic correctly assigns file analysis to Ollama, complex reasoning to Claude, multimodal to Gemini, real-time info to Grok\n 296→\n 297→3. **Cross-Model Validation**\n 298→ - Description: Have multiple models review work for quality assurance\n 299→ - Acceptance: Critical decisions validated by 2+ models before acceptance\n 300→\n 301→4. **Cost Optimization**\n 302→ - Description: Track and minimize API costs through intelligent model selection\n 303→ - Acceptance: Cost tracking visible in UI, local models used for appropriate tasks\n 304→\n 305→5. **Adaptive Spec System**\n 306→ - Description: Interview workflow for gathering requirements, with re-interview capability\n 307→ - Acceptance: Can create spec via interview, modify spec mid-project, track spec versions\n 308→\n 309→6. **Version Control Integration**\n 310→ - Description: Automatic branching, commit generation, PR creation\n 311→ - Acceptance: Git operations automated, conventional commit messages generated\n 312→\n 313→7. **Project Steering**\n 314→ - Description: Mid-flight direction changes with context preservation\n 315→ - Acceptance: Can redirect project without losing history, impact analysis visible\n 316→\n 317→8. **Skill Plugin System**\n 318→ - Description: Extensible architecture for specialized agent capabilities\n 319→ - Acceptance: Can load/unload skills, skills can be model-specific or agnostic\n 320→\n 321→### Non-Functional Requirements\n 322→\n 323→1. **Performance**\n 324→ - Parallel LLM calls for independent operations\n 325→ - Response time < 30s for most operations\n 326→ - Support concurrent users\n 327→\n 328→2. **Security**\n 329→ - API keys stored securely (environment variables, not code)\n 330→ - No credential logging\n 331→ - Input validation on all endpoints\n 332→\n 333→3. **Reliability**\n 334→ - Fallback strategies when models fail\n 335→ - Graceful degradation when providers unavailable\n 336→ - State persistence across restarts\n 337→\n 338→### Edge Cases\n 339→\n 340→1. **Provider Unavailable** - Fall back to alternate provider or queue for retry\n 341→2. **Rate Limiting** - Implement exponential backoff, queue excess requests\n 342→3. **Model Disagreement** - Escalate to higher-capability model for tie-breaking\n 343→4. **Large Context** - Automatically route to models with larger context windows (Gemini)\n 344→5. **Ollama Not Running** - Detect and warn, exclude from routing until available\n 345→6. **Mid-Spec Change** - Version current spec, preserve history, enable diff view\n 346→7. **Git Conflicts** - Detect and surface for manual resolution\n 347→8. **API Key Invalid** - Mark provider as unavailable, notify user\n 348→\n 349→## Implementation Notes\n 350→\n 351→### DO\n 352→\n 353→- Use LiteLLM as unified wrapper instead of managing individual SDKs directly\n 354→- Use `google-genai` package, NOT deprecated `google-generativeai`\n 355→- Use official `xai-sdk` package, not community alternatives\n 356→- Pin MCP to `mcp>=1.25,<2` to avoid v2 breaking changes\n 357→- Use Python 3.11+ for compatibility with all packages (py-gitea requires 3.11+)\n 358→- Use async clients for all LLM operations to enable concurrency\n 359→- Use `fastapi[standard]` to get uvicorn bundled\n 360→- Start Ollama server separately before using Python client\n 361→- Pull Ollama models first: `ollama pull gemma3`\n 362→\n 363→### DON'T\n 364→\n 365→- Don't use GitPython in long-running daemon processes (resource leaks)\n 366→- Don't hardcode API keys - use environment variables\n 367→- Don't assume all models available - always check provider status\n 368→- Don't block on single LLM call when parallel is possible\n 369→- Don't generate code using deprecated google-generativeai patterns\n 370→- Don't use `--reload` flag in production uvicorn\n 371→\n 372→## Development Environment\n 373→\n 374→### Prerequisites\n 375→\n 376→```bash\n 377→# Python 3.11+\n 378→python --version # Should be 3.11+\n 379→\n 380→# Node.js 18+\n 381→node --version # Should be 18+\n 382→\n 383→# Ollama (for local LLM)\n 384→# Download from https://ollama.com/download\n 385→ollama --version\n 386→```\n 387→\n 388→### Start Services\n 389→\n 390→```bash\n 391→# Terminal 1: Start Ollama server\n 392→ollama serve\n 393→\n 394→# Terminal 2: Pull models\n 395→ollama pull gemma3\n 396→ollama pull codellama\n 397→\n 398→# Terminal 3: Start backend\n 399→cd backend\n 400→pip install -r requirements.txt\n 401→uvicorn main:app --reload --port 8000\n 402→\n 403→# Terminal 4: Start frontend\n 404→cd frontend\n 405→npm install\n 406→npm run dev\n 407→\n 408→# Terminal 5: Start MCP server (optional)\n 409→cd mcp-server\n 410→python server.py\n 411→```\n 412→\n 413→### Service URLs\n 414→\n 415→- Backend API: http://localhost:8000\n 416→- API Docs: http://localhost:8000/docs\n 417→- Frontend: http://localhost:5173\n 418→- Ollama: http://localhost:11434\n 419→\n 420→### Required Environment Variables\n 421→\n 422→Create `.env` file from `.env.example`:\n 423→\n 424→```bash\n 425→# LLM Provider Keys\n 426→ANTHROPIC_API_KEY=sk-ant-...\n 427→GEMINI_API_KEY=AI...\n 428→XAI_API_KEY=xai-...\n 429→\n 430→# Ollama (optional, defaults shown)\n 431→OLLAMA_HOST=http://localhost:11434\n 432→\n 433→# Database\n 434→DATABASE_URL=sqlite:///./multi_llm_platform.db\n 435→\n 436→# Git/Gitea (optional)\n 437→GITEA_URL=http://localhost:3000\n 438→GITEA_TOKEN=your_gitea_token\n 439→```\n 440→\n 441→## Success Criteria\n 442→\n 443→The task is complete when:\n 444→\n 445→1. [ ] Successfully make API calls to all 4 LLM providers (Claude, Gemini, Grok, Ollama)\n 446→2. [ ] Demonstrate intelligent model routing (correct model for task type)\n 447→3. [ ] Cross-model validation working for critical decisions\n 448→4. [ ] Cost tracking visible and accurate in UI\n 449→5. [ ] Spec interview workflow functional (create, modify, version)\n 450→6. [ ] Git integration working (branch, commit, PR creation)\n 451→7. [ ] Project steering possible mid-flight with context preservation\n 452→8. [ ] Skill plugin system loading and executing skills\n 453→9. [ ] Frontend dashboard displaying project state\n 454→10. [ ] No console errors in frontend or backend\n 455→11. [ ] All unit and integration tests passing\n 456→\n 457→## QA Acceptance Criteria\n 458→\n 459→**CRITICAL**: These criteria must be verified by the QA Agent before sign-off.\n 460→\n 461→### Unit Tests\n 462→\n 463→| Test | File | What to Verify |\n 464→|------|------|----------------|\n 465→| LLM Router | `backend/tests/test_llm_router.py` | Correct model selection for task types |\n 466→| Cost Tracker | `backend/tests/test_cost_tracker.py` | Accurate token and cost calculation |\n 467→| Spec Manager | `backend/tests/test_spec_manager.py` | CRUD operations, versioning |\n 468→| Skill Registry | `backend/tests/test_skill_registry.py` | Skill loading, execution, unloading |\n 469→| Git Service | `backend/tests/test_git_service.py` | Branch creation, commits, PR logic |\n 470→| Cross Validator | `backend/tests/test_cross_validate.py` | Multi-model validation logic |\n 471→\n 472→### Integration Tests\n 473→\n 474→| Test | Services | What to Verify |\n 475→|------|----------|----------------|\n 476→| LLM Provider Health | llm-wrapper + all providers | All 4 providers respond correctly |\n 477→| Task Routing E2E | orchestration + llm-wrapper | Tasks routed to correct models |\n 478→| Spec Persistence | spec-management + database | Specs saved and versioned correctly |\n 479→| Git Operations | version-control + local repo | Branch/commit/PR workflow works |\n 480→| MCP Tools | mcp-server + backend | MCP tools execute successfully |\n 481→\n 482→### End-to-End Tests\n 483→\n 484→| Flow | Steps | Expected Outcome |\n 485→|------|-------|------------------|\n 486→| Project Creation | 1. Open dashboard 2. Start interview 3. Answer questions 4. View spec | Spec created and displayed |\n 487→| Task Execution | 1. Create task 2. View routing 3. Check results | Task completed with correct model |\n 488→| Cross Validation | 1. Mark task critical 2. Submit 3. View validation | Multiple models validate before accept |\n 489→| Mid-Project Steer | 1. Modify spec 2. Confirm change 3. View history | Spec versioned, history preserved |\n 490→| Cost Report | 1. Execute tasks 2. View dashboard 3. Check costs | Accurate cost breakdown by provider |\n 491→\n 492→### Browser Verification\n 493→\n 494→| Page/Component | URL | Checks |\n 495→|----------------|-----|--------|\n 496→| Dashboard | `http://localhost:5173/` | Project overview loads, no errors |\n 497→| Spec Editor | `http://localhost:5173/spec` | Interview form works, saves correctly |\n 498→| Task Viewer | `http://localhost:5173/tasks` | Task list displays, status updates |\n 499→| Model Status | `http://localhost:5173/models` | Provider health indicators accurate |\n 500→| Cost Tracker | `http://localhost:5173/costs` | Cost charts render, data accurate |\n 501→\n 502→### API Verification\n 503→\n 504→| Endpoint | Method | Checks |\n 505→|----------|--------|--------|\n 506→| `/health` | GET | Returns 200, all services healthy |\n 507→| `/api/models/status` | GET | Returns status for all 4 providers |\n 508→| `/api/tasks` | POST | Creates task, returns task ID |\n 509→| `/api/specs` | POST | Creates spec from interview data |\n 510→| `/api/specs/{id}/versions` | GET | Returns version history |\n 511→\n 512→### Database Verification\n 513→\n 514→| Check | Query/Command | Expected |\n 515→|-------|---------------|----------|\n 516→| Tables created | `SELECT name FROM sqlite_master WHERE type='table'` | specs, tasks, decisions, model_interactions |\n 517→| Spec versioning | `SELECT COUNT(*) FROM spec_versions WHERE spec_id=1` | Versions increment on changes |\n 518→| Cost tracking | `SELECT SUM(cost) FROM model_interactions` | Non-zero, matches UI display |\n 519→\n 520→### Security Verification\n 521→\n 522→| Check | Method | Expected |\n 523→|-------|--------|----------|\n 524→| No hardcoded keys | `grep -r \"sk-ant\\|AIza\" backend/` | No matches |\n 525→| Env vars loaded | Check startup logs | Keys loaded from environment |\n 526→| Input validation | Send malformed JSON to endpoints | 422 validation error returned |\n 527→\n 528→### QA Sign-off Requirements\n 529→\n 530→- [ ] All unit tests pass (`pytest backend/tests/`)\n 531→- [ ] All integration tests pass (`pytest backend/tests/integration/`)\n 532→- [ ] All E2E tests pass (Playwright or manual)\n 533→- [ ] Browser verification complete (all pages load, no console errors)\n 534→- [ ] API verification complete (all endpoints respond correctly)\n 535→- [ ] Database state verified (tables exist, data persists)\n 536→- [ ] Security verification complete (no credential exposure)\n 537→- [ ] No regressions in existing functionality\n 538→- [ ] Code follows established patterns (LiteLLM, FastAPI conventions)\n 539→- [ ] No security vulnerabilities introduced\n 540→- [ ] Cost tracking accurate within 5% of actual API costs\n 541→- [ ] All 4 LLM providers successfully integrated and responding\n 542→\n 543→---\n 544→\n 545→## Appendix: Package Versions\n 546→\n 547→### Python Requirements (requirements.txt)\n 548→\n 549→```\n 550→# Core Framework\n 551→fastapi[standard]>=0.115.0\n 552→uvicorn>=0.30.0\n 553→pydantic>=2.0.0\n 554→\n 555→# LLM Providers\n 556→litellm>=1.0.0\n 557→anthropic>=0.39.0\n 558→google-genai>=1.0.0\n 559→xai-sdk>=0.1.0\n 560→ollama>=0.4.0\n 561→\n 562→# MCP\n 563→mcp>=1.25,<2\n 564→\n 565→# Database\n 566→sqlalchemy>=2.0.0\n 567→alembic>=1.13.0\n 568→\n 569→# Git\n 570→GitPython>=3.1.40\n 571→py-gitea>=0.2.10\n 572→\n 573→# Utilities\n 574→httpx>=0.27.0\n 575→python-dotenv>=1.0.0\n 576→```\n 577→\n 578→### Node Requirements (package.json)\n 579→\n 580→```json\n 581→{\n 582→ \"dependencies\": {\n 583→ \"react\": \"^18.0.0\",\n 584→ \"react-dom\": \"^18.0.0\",\n 585→ \"@tanstack/react-query\": \"^5.0.0\"\n 586→ },\n 587→ \"devDependencies\": {\n 588→ \"typescript\": \"^5.0.0\",\n 589→ \"vite\": \"^6.0.0\",\n 590→ \"@types/react\": \"^18.0.0\",\n 591→ \"@types/react-dom\": \"^18.0.0\",\n 592→ \"vitest\": \"^2.0.0\",\n 593→ \"@testing-library/react\": \"^16.0.0\"\n 594→ }\n 595→}\n 596→```\n 597→\n 598→---\n 599→\n 600→## Appendix: Phased Implementation Milestones\n 601→\n 602→Based on complexity assessment, implement in phases:\n 603→\n 604→1. **Phase 1**: Core orchestration layer with single LLM provider (Claude via LiteLLM)\n 605→2. **Phase 2**: Add additional LLM providers with unified wrapper and routing\n 606→3. **Phase 3**: Spec management system and version control integration\n 607→4. **Phase 4**: Skill plugin system and cross-model validation\n 608→5. **Phase 5**: Frontend UI and project steering capabilities\n 609→6. **Phase 6**: Quality assurance, security hardening, and production readiness\n 610→\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":"aaec40d7-dfd8-4864-a69c-2997d1955a7b","timestamp":"2026-01-12T18:56:44.950Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.auto-claude\\specs\\001-multi-llm-agentic-development-platform\\spec.md","content":"# Specification: Multi-LLM Agentic Development Platform\n\n## Overview\n\nBuild an advanced agentic development platform that orchestrates multiple AI models (Claude, Gemini, Grok, Ollama) for intelligent software development. The system strategically routes tasks to models best suited for them, implements cross-model validation for quality assurance, and provides cost optimization through intelligent balancing of cloud and local models. This greenfield project extends concepts from Autocoder 2.0/Auto-Claude with multi-model orchestration, adaptive requirements management, and mid-project course correction capabilities.\n\n## Workflow Type\n\n**Type**: Feature (Greenfield Development)\n\n**Rationale**: Despite referencing existing Autocoder 2.0/Auto-Claude patterns, the project index shows an empty codebase with no existing code to refactor. This is building new functionality from scratch, requiring full-stack development across 5 services, 4+ external LLM provider integrations, database schema design, and novel architectural patterns for multi-model orchestration.\n\n## Task Scope\n\n### Services Involved\n\n- **orchestration-service** (primary) - Core task decomposition, model routing, parallel execution engine\n- **llm-wrapper-service** (primary) - Unified API abstraction for all LLM providers via LiteLLM\n- **spec-management-service** (primary) - Adaptive spec system with interview and versioning\n- **skill-service** (integration) - Extensible plugin architecture for specialized capabilities\n- **version-control-service** (integration) - Git/Gitea automation for branching, commits, PRs\n- **frontend-ui** (integration) - React/TypeScript project management dashboard\n\n### This Task Will:\n\n- [ ] Create Python/FastAPI backend with modular service architecture\n- [ ] Implement unified LLM wrapper supporting Claude, Gemini, Grok, and Ollama\n- [ ] Build task orchestration engine with model-specific routing\n- [ ] Implement cross-model validation for quality assurance\n- [ ] Create adaptive spec system with interview and re-interview workflows\n- [ ] Build extensible skill/addon plugin architecture\n- [ ] Integrate Git/Gitea for version control automation\n- [ ] Implement checkpoint system for project steering and course correction\n- [ ] Create React/TypeScript frontend for project management\n- [ ] Design database schema for specs, decisions, task history, model interactions\n- [ ] Build MCP server for feature graph and skill management\n\n### Out of Scope:\n\n- Production deployment infrastructure (Kubernetes, cloud deployment)\n- Enterprise SSO/SAML authentication\n- Multi-tenant user management\n- Billing and subscription management\n- Mobile application\n- Integration with CI/CD pipelines (beyond basic Git operations)\n\n## Service Context\n\n### Backend Orchestration Service\n\n**Tech Stack:**\n- Language: Python 3.11+\n- Framework: FastAPI with uvicorn ASGI server\n- Key packages: `fastapi[standard]`, `pydantic`, `httpx`, `sqlalchemy`\n- Key directories: `backend/`, `backend/services/`, `backend/api/`, `backend/models/`\n\n**Entry Point:** `backend/main.py`\n\n**How to Run:**\n```bash\ncd backend\npip install -r requirements.txt\nuvicorn main:app --reload --port 8000\n```\n\n**Port:** 8000\n\n**API Documentation:** http://localhost:8000/docs (Swagger) and http://localhost:8000/redoc\n\n---\n\n### LLM Wrapper Service\n\n**Tech Stack:**\n- Language: Python 3.11+\n- Framework: LiteLLM for unified interface\n- Key packages: `litellm`, `anthropic`, `google-genai`, `xai-sdk`, `ollama`\n- Key directories: `backend/llm/`, `backend/llm/providers/`, `backend/llm/routing/`\n\n**Entry Point:** `backend/llm/__init__.py`\n\n**Configuration:**\n```bash\n# Environment variables required\nANTHROPIC_API_KEY=your_anthropic_key\nGEMINI_API_KEY=your_gemini_key\nXAI_API_KEY=your_xai_key\n# Ollama uses local server, no API key needed\n```\n\n---\n\n### Frontend UI\n\n**Tech Stack:**\n- Language: TypeScript\n- Framework: React with Vite\n- Key packages: `react`, `react-dom`, `typescript`, `@tanstack/react-query`\n- Key directories: `frontend/src/`, `frontend/src/components/`, `frontend/src/pages/`\n\n**Entry Point:** `frontend/src/main.tsx`\n\n**How to Run:**\n```bash\ncd frontend\nnpm install\nnpm run dev\n```\n\n**Port:** 5173\n\n---\n\n### MCP Server\n\n**Tech Stack:**\n- Language: Python 3.11+\n- Framework: MCP SDK (FastMCP)\n- Key packages: `mcp>=1.25,<2`\n- Key directories: `mcp-server/`, `mcp-server/tools/`, `mcp-server/resources/`\n\n**Entry Point:** `mcp-server/server.py`\n\n**How to Run:**\n```bash\ncd mcp-server\npython server.py\n```\n\n## Files to Create\n\n| File | Service | Purpose |\n|------|---------|---------|\n| `backend/main.py` | orchestration | FastAPI application entry point |\n| `backend/requirements.txt` | orchestration | Python dependencies |\n| `backend/api/routes/__init__.py` | orchestration | API route aggregation |\n| `backend/api/routes/tasks.py` | orchestration | Task management endpoints |\n| `backend/api/routes/specs.py` | orchestration | Spec management endpoints |\n| `backend/api/routes/models.py` | orchestration | LLM provider status endpoints |\n| `backend/services/orchestrator.py` | orchestration | Task decomposition and routing |\n| `backend/services/spec_manager.py` | spec-management | Spec CRUD and versioning |\n| `backend/services/skill_registry.py` | skill-service | Skill loading and execution |\n| `backend/llm/unified_client.py` | llm-wrapper | LiteLLM wrapper with routing logic |\n| `backend/llm/providers/claude.py` | llm-wrapper | Claude-specific optimizations |\n| `backend/llm/providers/gemini.py` | llm-wrapper | Gemini-specific optimizations |\n| `backend/llm/providers/grok.py` | llm-wrapper | Grok-specific optimizations |\n| `backend/llm/providers/ollama.py` | llm-wrapper | Ollama local model integration |\n| `backend/llm/routing/router.py` | llm-wrapper | Task-to-model routing logic |\n| `backend/llm/routing/cost_tracker.py` | llm-wrapper | Token usage and cost tracking |\n| `backend/llm/validation/cross_validate.py` | llm-wrapper | Cross-model validation logic |\n| `backend/models/database.py` | orchestration | SQLAlchemy database setup |\n| `backend/models/spec.py` | orchestration | Spec data model |\n| `backend/models/task.py` | orchestration | Task data model |\n| `backend/models/decision.py` | orchestration | Decision tracking model |\n| `backend/git/git_service.py` | version-control | GitPython wrapper |\n| `backend/git/gitea_service.py` | version-control | Gitea API integration |\n| `backend/git/commit_generator.py` | version-control | Conventional commit messages |\n| `mcp-server/server.py` | mcp | FastMCP server entry |\n| `mcp-server/tools/spec_tools.py` | mcp | Spec management MCP tools |\n| `mcp-server/tools/task_tools.py` | mcp | Task management MCP tools |\n| `mcp-server/resources/project_state.py` | mcp | Project state MCP resources |\n| `frontend/package.json` | frontend | NPM dependencies |\n| `frontend/vite.config.ts` | frontend | Vite configuration |\n| `frontend/src/main.tsx` | frontend | React entry point |\n| `frontend/src/App.tsx` | frontend | Main application component |\n| `frontend/src/pages/Dashboard.tsx` | frontend | Project dashboard |\n| `frontend/src/pages/SpecEditor.tsx` | frontend | Spec editing interface |\n| `frontend/src/pages/TaskViewer.tsx` | frontend | Task status viewer |\n| `frontend/src/components/ModelStatus.tsx` | frontend | LLM provider status display |\n| `frontend/src/components/CostTracker.tsx` | frontend | Cost tracking visualization |\n| `docker-compose.yml` | infrastructure | Container orchestration |\n| `.env.example` | infrastructure | Environment variable template |\n\n## Patterns to Follow\n\n### LiteLLM Unified Interface Pattern\n\nUse LiteLLM as the unified API wrapper for all LLM providers:\n\n```python\nfrom litellm import completion, acompletion\n\n# Unified interface - same code for any provider\nasync def call_llm(model: str, messages: list, **kwargs) -> str:\n response = await acompletion(\n model=model, # e.g., \"claude-3-opus\", \"gemini/gemini-pro\", \"ollama/llama3\"\n messages=messages,\n **kwargs\n )\n return response.choices[0].message.content\n```\n\n**Key Points:**\n- Model names follow `provider/model` format for non-OpenAI models\n- Built-in cost tracking via `litellm.track_cost = True`\n- Automatic retries and fallbacks configurable\n- Same interface works across 100+ LLM providers\n\n---\n\n### FastAPI Service Pattern\n\n```python\nfrom fastapi import FastAPI, Depends, HTTPException\nfrom pydantic import BaseModel\n\napp = FastAPI(title=\"Multi-LLM Platform\")\n\nclass TaskCreate(BaseModel):\n description: str\n priority: str = \"normal\"\n\n@app.post(\"/tasks/\", response_model=Task)\nasync def create_task(task: TaskCreate, db: Session = Depends(get_db)):\n \"\"\"Create a new task with automatic model routing.\"\"\"\n return await orchestrator.create_task(task, db)\n```\n\n**Key Points:**\n- Use Pydantic models for request/response validation\n- Dependency injection for database sessions\n- Async endpoints for non-blocking LLM calls\n\n---\n\n### Async LLM Client Pattern\n\n```python\nfrom anthropic import AsyncAnthropic\nfrom google import genai\nfrom xai_sdk import AsyncClient as XAIClient\nfrom ollama import AsyncClient as OllamaClient\n\n# All providers support async clients for concurrent operations\nasync def parallel_validation(prompt: str, models: list[str]) -> list[str]:\n tasks = [call_llm(model, prompt) for model in models]\n responses = await asyncio.gather(*tasks, return_exceptions=True)\n return [r for r in responses if not isinstance(r, Exception)]\n```\n\n---\n\n### MCP Server Pattern\n\n```python\nfrom mcp.server.fastmcp import FastMCP\n\nmcp = FastMCP(\"multi-llm-platform\")\n\n@mcp.tool()\nasync def create_spec(description: str) -> dict:\n \"\"\"Create a new project specification.\"\"\"\n return await spec_service.create(description)\n\n@mcp.resource(\"project://state\")\nasync def get_project_state() -> str:\n \"\"\"Get current project state.\"\"\"\n return json.dumps(state_manager.get_state())\n```\n\n---\n\n### Git Integration Pattern\n\n```python\nfrom git import Repo\n\ndef create_feature_branch(repo_path: str, feature_name: str) -> str:\n \"\"\"Create a feature branch following conventional naming.\"\"\"\n repo = Repo(repo_path)\n branch_name = f\"feature/{feature_name.lower().replace(' ', '-')}\"\n new_branch = repo.create_head(branch_name)\n new_branch.checkout()\n return branch_name\n\ndef commit_with_message(repo_path: str, files: list, message: str):\n \"\"\"Commit with conventional commit message format.\"\"\"\n repo = Repo(repo_path)\n repo.index.add(files)\n repo.index.commit(message)\n```\n\n**Gotcha:** GitPython leaks resources in long-running processes. For daemon usage, spawn as subprocess.\n\n## Requirements\n\n### Functional Requirements\n\n1. **Multi-LLM Provider Integration**\n - Description: Support Claude, Gemini, Grok, and Ollama through unified interface\n - Acceptance: Can make requests to all 4 providers and receive responses\n\n2. **Strategic Model Routing**\n - Description: Route tasks to optimal models based on task characteristics\n - Acceptance: Routing logic correctly assigns file analysis to Ollama, complex reasoning to Claude, multimodal to Gemini, real-time info to Grok\n\n3. **Cross-Model Validation**\n - Description: Have multiple models review work for quality assurance\n - Acceptance: Critical decisions validated by 2+ models before acceptance\n\n4. **Cost Optimization**\n - Description: Track and minimize API costs through intelligent model selection\n - Acceptance: Cost tracking visible in UI, local models used for appropriate tasks\n\n5. **Adaptive Spec System**\n - Description: Interview workflow for gathering requirements, with re-interview capability\n - Acceptance: Can create spec via interview, modify spec mid-project, track spec versions\n\n6. **Version Control Integration**\n - Description: Automatic branching, commit generation, PR creation\n - Acceptance: Git operations automated, conventional commit messages generated\n\n7. **Project Steering**\n - Description: Mid-flight direction changes with context preservation\n - Acceptance: Can redirect project without losing history, impact analysis visible\n\n8. **Skill Plugin System**\n - Description: Extensible architecture for specialized agent capabilities\n - Acceptance: Can load/unload skills, skills can be model-specific or agnostic\n\n### Non-Functional Requirements\n\n1. **Performance**\n - Parallel LLM calls for independent operations\n - Response time < 30s for most operations\n - Support concurrent users\n\n2. **Security**\n - API keys stored securely (environment variables, not code)\n - No credential logging\n - Input validation on all endpoints\n\n3. **Reliability**\n - Fallback strategies when models fail\n - Graceful degradation when providers unavailable\n - State persistence across restarts\n\n### Edge Cases\n\n1. **Provider Unavailable** - Fall back to alternate provider or queue for retry\n2. **Rate Limiting** - Implement exponential backoff, queue excess requests\n3. **Model Disagreement** - Escalate to higher-capability model for tie-breaking\n4. **Large Context** - Automatically route to models with larger context windows (Gemini)\n5. **Ollama Not Running** - Detect and warn, exclude from routing until available\n6. **Mid-Spec Change** - Version current spec, preserve history, enable diff view\n7. **Git Conflicts** - Detect and surface for manual resolution\n8. **API Key Invalid** - Mark provider as unavailable, notify user\n\n## Implementation Notes\n\n### DO\n\n- Use LiteLLM as unified wrapper instead of managing individual SDKs directly\n- Use `google-genai` package, NOT deprecated `google-generativeai`\n- Use official `xai-sdk` package, not community alternatives\n- Pin MCP to `mcp>=1.25,<2` to avoid v2 breaking changes\n- Use Python 3.11+ for compatibility with all packages (py-gitea requires 3.11+)\n- Use async clients for all LLM operations to enable concurrency\n- Use `fastapi[standard]` to get uvicorn bundled\n- Start Ollama server separately before using Python client\n- Pull Ollama models first: `ollama pull gemma3`\n\n### DON'T\n\n- Don't use GitPython in long-running daemon processes (resource leaks)\n- Don't hardcode API keys - use environment variables\n- Don't assume all models available - always check provider status\n- Don't block on single LLM call when parallel is possible\n- Don't generate code using deprecated google-generativeai patterns\n- Don't use `--reload` flag in production uvicorn\n\n## Development Environment\n\n### Prerequisites\n\n```bash\n# Python 3.11+\npython --version # Should be 3.11+\n\n# Node.js 18+\nnode --version # Should be 18+\n\n# Ollama (for local LLM)\n# Download from https://ollama.com/download\nollama --version\n```\n\n### Start Services\n\n```bash\n# Terminal 1: Start Ollama server\nollama serve\n\n# Terminal 2: Pull models\nollama pull gemma3\nollama pull codellama\n\n# Terminal 3: Start backend\ncd backend\npip install -r requirements.txt\nuvicorn main:app --reload --port 8000\n\n# Terminal 4: Start frontend\ncd frontend\nnpm install\nnpm run dev\n\n# Terminal 5: Start MCP server (optional)\ncd mcp-server\npython server.py\n```\n\n### Service URLs\n\n- Backend API: http://localhost:8000\n- API Docs: http://localhost:8000/docs\n- Frontend: http://localhost:5173\n- Ollama: http://localhost:11434\n\n### Required Environment Variables\n\nCreate `.env` file from `.env.example`:\n\n```bash\n# LLM Provider Keys\nANTHROPIC_API_KEY=sk-ant-...\nGEMINI_API_KEY=AI...\nXAI_API_KEY=xai-...\n\n# Ollama (optional, defaults shown)\nOLLAMA_HOST=http://localhost:11434\n\n# Database\nDATABASE_URL=sqlite:///./multi_llm_platform.db\n\n# Git/Gitea (optional)\nGITEA_URL=http://localhost:3000\nGITEA_TOKEN=your_gitea_token\n```\n\n## Success Criteria\n\nThe task is complete when:\n\n1. [ ] Successfully make API calls to all 4 LLM providers (Claude, Gemini, Grok, Ollama)\n2. [ ] Demonstrate intelligent model routing (correct model for task type)\n3. [ ] Cross-model validation working for critical decisions\n4. [ ] Cost tracking visible and accurate in UI\n5. [ ] Spec interview workflow functional (create, modify, version)\n6. [ ] Git integration working (branch, commit, PR creation)\n7. [ ] Project steering possible mid-flight with context preservation\n8. [ ] Skill plugin system loading and executing skills\n9. [ ] Frontend dashboard displaying project state\n10. [ ] No console errors in frontend or backend\n11. [ ] All unit and integration tests passing\n\n## QA Acceptance Criteria\n\n**CRITICAL**: These criteria must be verified by the QA Agent before sign-off.\n\n### Unit Tests\n\n| Test | File | What to Verify |\n|------|------|----------------|\n| LLM Router | `backend/tests/test_llm_router.py` | Correct model selection for task types |\n| Cost Tracker | `backend/tests/test_cost_tracker.py` | Accurate token and cost calculation |\n| Spec Manager | `backend/tests/test_spec_manager.py` | CRUD operations, versioning |\n| Skill Registry | `backend/tests/test_skill_registry.py` | Skill loading, execution, unloading |\n| Git Service | `backend/tests/test_git_service.py` | Branch creation, commits, PR logic |\n| Cross Validator | `backend/tests/test_cross_validate.py` | Multi-model validation logic |\n\n### Integration Tests\n\n| Test | Services | What to Verify |\n|------|----------|----------------|\n| LLM Provider Health | llm-wrapper + all providers | All 4 providers respond correctly |\n| Task Routing E2E | orchestration + llm-wrapper | Tasks routed to correct models |\n| Spec Persistence | spec-management + database | Specs saved and versioned correctly |\n| Git Operations | version-control + local repo | Branch/commit/PR workflow works |\n| MCP Tools | mcp-server + backend | MCP tools execute successfully |\n\n### End-to-End Tests\n\n| Flow | Steps | Expected Outcome |\n|------|-------|------------------|\n| Project Creation | 1. Open dashboard 2. Start interview 3. Answer questions 4. View spec | Spec created and displayed |\n| Task Execution | 1. Create task 2. View routing 3. Check results | Task completed with correct model |\n| Cross Validation | 1. Mark task critical 2. Submit 3. View validation | Multiple models validate before accept |\n| Mid-Project Steer | 1. Modify spec 2. Confirm change 3. View history | Spec versioned, history preserved |\n| Cost Report | 1. Execute tasks 2. View dashboard 3. Check costs | Accurate cost breakdown by provider |\n\n### Browser Verification\n\n| Page/Component | URL | Checks |\n|----------------|-----|--------|\n| Dashboard | `http://localhost:5173/` | Project overview loads, no errors |\n| Spec Editor | `http://localhost:5173/spec` | Interview form works, saves correctly |\n| Task Viewer | `http://localhost:5173/tasks` | Task list displays, status updates |\n| Model Status | `http://localhost:5173/models` | Provider health indicators accurate |\n| Cost Tracker | `http://localhost:5173/costs` | Cost charts render, data accurate |\n\n### API Verification\n\n| Endpoint | Method | Checks |\n|----------|--------|--------|\n| `/health` | GET | Returns 200, all services healthy |\n| `/api/models/status` | GET | Returns status for all 4 providers |\n| `/api/tasks` | POST | Creates task, returns task ID |\n| `/api/specs` | POST | Creates spec from interview data |\n| `/api/specs/{id}/versions` | GET | Returns version history |\n\n### Database Verification\n\n| Check | Query/Command | Expected |\n|-------|---------------|----------|\n| Tables created | `SELECT name FROM sqlite_master WHERE type='table'` | specs, tasks, decisions, model_interactions |\n| Spec versioning | `SELECT COUNT(*) FROM spec_versions WHERE spec_id=1` | Versions increment on changes |\n| Cost tracking | `SELECT SUM(cost) FROM model_interactions` | Non-zero, matches UI display |\n\n### Security Verification\n\n| Check | Method | Expected |\n|-------|--------|----------|\n| No hardcoded keys | `grep -r \"sk-ant\\|AIza\" backend/` | No matches |\n| Env vars loaded | Check startup logs | Keys loaded from environment |\n| Input validation | Send malformed JSON to endpoints | 422 validation error returned |\n\n### QA Sign-off Requirements\n\n- [ ] All unit tests pass (`pytest backend/tests/`)\n- [ ] All integration tests pass (`pytest backend/tests/integration/`)\n- [ ] All E2E tests pass (Playwright or manual)\n- [ ] Browser verification complete (all pages load, no console errors)\n- [ ] API verification complete (all endpoints respond correctly)\n- [ ] Database state verified (tables exist, data persists)\n- [ ] Security verification complete (no credential exposure)\n- [ ] No regressions in existing functionality\n- [ ] Code follows established patterns (LiteLLM, FastAPI conventions)\n- [ ] No security vulnerabilities introduced\n- [ ] Cost tracking accurate within 5% of actual API costs\n- [ ] All 4 LLM providers successfully integrated and responding\n\n---\n\n## Appendix: Package Versions\n\n### Python Requirements (requirements.txt)\n\n```\n# Core Framework\nfastapi[standard]>=0.115.0\nuvicorn>=0.30.0\npydantic>=2.0.0\n\n# LLM Providers\nlitellm>=1.0.0\nanthropic>=0.39.0\ngoogle-genai>=1.0.0\nxai-sdk>=0.1.0\nollama>=0.4.0\n\n# MCP\nmcp>=1.25,<2\n\n# Database\nsqlalchemy>=2.0.0\nalembic>=1.13.0\n\n# Git\nGitPython>=3.1.40\npy-gitea>=0.2.10\n\n# Utilities\nhttpx>=0.27.0\npython-dotenv>=1.0.0\n```\n\n### Node Requirements (package.json)\n\n```json\n{\n \"dependencies\": {\n \"react\": \"^18.0.0\",\n \"react-dom\": \"^18.0.0\",\n \"@tanstack/react-query\": \"^5.0.0\"\n },\n \"devDependencies\": {\n \"typescript\": \"^5.0.0\",\n \"vite\": \"^6.0.0\",\n \"@types/react\": \"^18.0.0\",\n \"@types/react-dom\": \"^18.0.0\",\n \"vitest\": \"^2.0.0\",\n \"@testing-library/react\": \"^16.0.0\"\n }\n}\n```\n\n---\n\n## Appendix: Phased Implementation Milestones\n\nBased on complexity assessment, implement in phases:\n\n1. **Phase 1**: Core orchestration layer with single LLM provider (Claude via LiteLLM)\n2. **Phase 2**: Add additional LLM providers with unified wrapper and routing\n3. **Phase 3**: Spec management system and version control integration\n4. **Phase 4**: Skill plugin system and cross-model validation\n5. **Phase 5**: Frontend UI and project steering capabilities\n6. **Phase 6**: Quality assurance, security hardening, and production readiness\n","numLines":610,"startLine":1,"totalLines":610}},"sourceToolAssistantUUID":"09b57a60-17af-4871-a53c-9afdcbc3627e"}
{"parentUuid":"7b2cf143-fa8d-4656-ba26-8c39ef810f3b","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01P8CY7WfZ3FVYmt81ygJsBh","type":"tool_result","content":" 1→{\n 2→ \"feature\": \"Multi-LLM Agentic Development Platform\",\n 3→ \"description\": \"Multi-LLM Agentic Development Platform\\n\\n I want to build an advanced agentic development system that extends and integrates the best concepts from Autocoder 2.0 / Auto-Claude with multi-model orchestration and adaptive project management.\\n\\n Core Features\\n\\n 1. Multi-LLM Provider Support\\n - Support multiple LLM providers: Claude (Code & API), Gemini, Grok, Ollama, and others\\n - Strategic model assignment - route tasks to models best suited for them:\\n - Ollama for local, token-free lightweight tasks (file analysis, simple transforms, templating)\\n - Claude Sonnet/Opus for complex reasoning and architecture\\n - Gemini for multimodal analysis and large context windows\\n - Grok for real-time information and alternative perspectives\\n - Cross-model validation: have different LLMs review each other's work for accuracy and quality assurance\\n - Cost optimization: intelligently balance between cloud and local models\\n\\n 2. Version Control Integration\\n - Native Git and Gitea support\\n - Automatic branching strategies for features/tasks\\n - Commit message generation aligned with conventional commits\\n - PR creation with comprehensive descriptions\\n - Support for reviewing and iterating on code in branches\\n\\n 3. Adaptive Spec System\\n - Initial spec-app style interview to gather requirements\\n - Re-interview capability: as the project evolves, conduct follow-up interviews to:\\n - Clarify ambiguous requirements that emerged during development\\n - Gather feedback on implemented features\\n - Adjust scope based on discoveries\\n - Validate assumptions with the user\\n - Spec versioning: track how requirements evolve over time\\n - Continuous alignment: ensure implementation stays true to user intent\\n\\n 4. Agent Skill System\\n - Extensible skill/addon architecture for specialized agent capabilities\\n - Skills can be model-specific or model-agnostic\\n - Examples: code review, security scanning, performance optimization, documentation generation\\n - Custom skill creation framework\\n - Skill composition: chain skills together for complex workflows\\n\\n 5. Project Steering & Course Correction\\n - Mid-flight adjustments: ability to redirect project direction after work has begun\\n - Checkpoint system: review progress at milestones and adjust plans\\n - Context preservation: maintain full project history when steering changes\\n - Impact analysis: understand implications of direction changes\\n - Graceful pivoting: refactor or adapt existing work rather than starting over\\n\\n 6. Intelligent Orchestration\\n - Task decomposition with model-specific assignments\\n - Parallel execution where possible\\n - Dependency management between tasks\\n - Progressive refinement: iterative improvement cycles\\n - Fallback strategies when a model fails or produces poor results\\n\\n 7. Quality Assurance\\n - Multi-model consensus for critical decisions\\n - Automated testing integration\\n - Code quality metrics and reporting\\n - Security vulnerability scanning\\n - Performance profiling\\n\\n Technical Architecture\\n\\n - Backend: Python (FastAPI) for orchestration layer\\n - Frontend: React/TypeScript UI for project management and monitoring\\n - Model Integration: Unified API wrapper supporting all providers\\n - State Management: Track project state, agent activities, and decisions\\n - Database: Store specs, decisions, task history, and model interactions\\n - MCP Server: Feature graph and skill management\\n\\n Key Differentiators\\n\\n 1. Model democracy: No single LLM is the source of truth - leverage collective intelligence\\n 2. Adaptive requirements: Specs evolve with the project, not frozen at start\\n 3. Local-first option: Can run meaningful work without API costs via Ollama\\n 4. Course correction: Projects aren't rigid - steer and adapt as you learn\\n 5. Transparency: Full visibility into which models did what and why\\n\\n Use Cases\\n\\n - Large greenfield projects with evolving requirements\\n - Migrating/refactoring existing codebases with uncertain scope\\n - Research projects where requirements emerge through exploration\\n - Cost-sensitive projects that need to optimize token usage\\n - High-stakes projects requiring multi-model validation\\n\\n Success Criteria\\n\\n - Successfully complete a full project lifecycle: spec → implementation → steering → completion\\n - Demonstrate cost savings through intelligent model routing\\n - Show quality improvements through cross-model validation\\n - Handle mid-project requirement changes gracefully\\n - Support at least 3 different LLM providers working in concert\",\n 4→ \"created_at\": \"2026-01-12T18:38:27.736Z\",\n 5→ \"updated_at\": \"2026-01-12T18:40:41.854Z\",\n 6→ \"status\": \"in_progress\",\n 7→ \"phases\": [],\n 8→ \"planStatus\": \"in_progress\"\n 9→}\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":"dda387c9-665c-47de-996f-42af7094c57c","timestamp":"2026-01-12T18:56:44.950Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.auto-claude\\specs\\001-multi-llm-agentic-development-platform\\implementation_plan.json","content":"{\n \"feature\": \"Multi-LLM Agentic Development Platform\",\n \"description\": \"Multi-LLM Agentic Development Platform\\n\\n I want to build an advanced agentic development system that extends and integrates the best concepts from Autocoder 2.0 / Auto-Claude with multi-model orchestration and adaptive project management.\\n\\n Core Features\\n\\n 1. Multi-LLM Provider Support\\n - Support multiple LLM providers: Claude (Code & API), Gemini, Grok, Ollama, and others\\n - Strategic model assignment - route tasks to models best suited for them:\\n - Ollama for local, token-free lightweight tasks (file analysis, simple transforms, templating)\\n - Claude Sonnet/Opus for complex reasoning and architecture\\n - Gemini for multimodal analysis and large context windows\\n - Grok for real-time information and alternative perspectives\\n - Cross-model validation: have different LLMs review each other's work for accuracy and quality assurance\\n - Cost optimization: intelligently balance between cloud and local models\\n\\n 2. Version Control Integration\\n - Native Git and Gitea support\\n - Automatic branching strategies for features/tasks\\n - Commit message generation aligned with conventional commits\\n - PR creation with comprehensive descriptions\\n - Support for reviewing and iterating on code in branches\\n\\n 3. Adaptive Spec System\\n - Initial spec-app style interview to gather requirements\\n - Re-interview capability: as the project evolves, conduct follow-up interviews to:\\n - Clarify ambiguous requirements that emerged during development\\n - Gather feedback on implemented features\\n - Adjust scope based on discoveries\\n - Validate assumptions with the user\\n - Spec versioning: track how requirements evolve over time\\n - Continuous alignment: ensure implementation stays true to user intent\\n\\n 4. Agent Skill System\\n - Extensible skill/addon architecture for specialized agent capabilities\\n - Skills can be model-specific or model-agnostic\\n - Examples: code review, security scanning, performance optimization, documentation generation\\n - Custom skill creation framework\\n - Skill composition: chain skills together for complex workflows\\n\\n 5. Project Steering & Course Correction\\n - Mid-flight adjustments: ability to redirect project direction after work has begun\\n - Checkpoint system: review progress at milestones and adjust plans\\n - Context preservation: maintain full project history when steering changes\\n - Impact analysis: understand implications of direction changes\\n - Graceful pivoting: refactor or adapt existing work rather than starting over\\n\\n 6. Intelligent Orchestration\\n - Task decomposition with model-specific assignments\\n - Parallel execution where possible\\n - Dependency management between tasks\\n - Progressive refinement: iterative improvement cycles\\n - Fallback strategies when a model fails or produces poor results\\n\\n 7. Quality Assurance\\n - Multi-model consensus for critical decisions\\n - Automated testing integration\\n - Code quality metrics and reporting\\n - Security vulnerability scanning\\n - Performance profiling\\n\\n Technical Architecture\\n\\n - Backend: Python (FastAPI) for orchestration layer\\n - Frontend: React/TypeScript UI for project management and monitoring\\n - Model Integration: Unified API wrapper supporting all providers\\n - State Management: Track project state, agent activities, and decisions\\n - Database: Store specs, decisions, task history, and model interactions\\n - MCP Server: Feature graph and skill management\\n\\n Key Differentiators\\n\\n 1. Model democracy: No single LLM is the source of truth - leverage collective intelligence\\n 2. Adaptive requirements: Specs evolve with the project, not frozen at start\\n 3. Local-first option: Can run meaningful work without API costs via Ollama\\n 4. Course correction: Projects aren't rigid - steer and adapt as you learn\\n 5. Transparency: Full visibility into which models did what and why\\n\\n Use Cases\\n\\n - Large greenfield projects with evolving requirements\\n - Migrating/refactoring existing codebases with uncertain scope\\n - Research projects where requirements emerge through exploration\\n - Cost-sensitive projects that need to optimize token usage\\n - High-stakes projects requiring multi-model validation\\n\\n Success Criteria\\n\\n - Successfully complete a full project lifecycle: spec → implementation → steering → completion\\n - Demonstrate cost savings through intelligent model routing\\n - Show quality improvements through cross-model validation\\n - Handle mid-project requirement changes gracefully\\n - Support at least 3 different LLM providers working in concert\",\n \"created_at\": \"2026-01-12T18:38:27.736Z\",\n \"updated_at\": \"2026-01-12T18:40:41.854Z\",\n \"status\": \"in_progress\",\n \"phases\": [],\n \"planStatus\": \"in_progress\"\n}","numLines":9,"startLine":1,"totalLines":9}},"sourceToolAssistantUUID":"7b2cf143-fa8d-4656-ba26-8c39ef810f3b"}
{"parentUuid":"dda387c9-665c-47de-996f-42af7094c57c","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_01TFL1AGZRj7MtrnSjbPBEdE","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I understand - this is a **greenfield project** that is still in the specification phase. There's no frontend code yet - it's planned but not implemented. The project is building a Multi-LLM Agentic Development Platform with:\n- FastAPI backend\n- React/TypeScript frontend (planned)\n- Multiple LLM providers\n\nSince there's no actual UI code yet, I can't visually inspect the app with Puppeteer. However, I can still generate UI/UX improvement ideas based on the spec - these would be **proactive UX recommendations** for when the frontend is built.\n\nLet me create UI/UX improvement ideas that would be valuable for this planned frontend:\n1. Dashboard design recommendations\n2. LLM provider status visualization\n3. Cost tracking display\n4. Spec editor UX\n5. Task viewer improvements\n\nThese should be concrete suggestions that would help when the frontend is implemented.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":9927,"cache_read_input_tokens":23760,"cache_creation":{"ephemeral_5m_input_tokens":9927,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3zdxEMH2aHrsySssmoG","type":"assistant","uuid":"f91f710b-da08-4a32-8e54-01f9bec37949","timestamp":"2026-01-12T18:56:52.240Z"}
{"parentUuid":"f91f710b-da08-4a32-8e54-01f9bec37949","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_01TFL1AGZRj7MtrnSjbPBEdE","type":"message","role":"assistant","content":[{"type":"text","text":"Now I understand the situation. This is a **greenfield project** still in the specification phase - the React frontend is planned but not yet implemented. Since there's no actual frontend code to visually inspect, I'll generate proactive UI/UX recommendations based on the specification that will provide value when the frontend is built.\n\nLet me verify there are no frontend files and then create the ideation output:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":9927,"cache_read_input_tokens":23760,"cache_creation":{"ephemeral_5m_input_tokens":9927,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3zdxEMH2aHrsySssmoG","type":"assistant","uuid":"4a8b7e2c-19eb-4f21-a07d-99a928efc034","timestamp":"2026-01-12T18:56:54.178Z"}
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{"parentUuid":"ac9fb4aa-d8bb-44ff-a93a-cd4c10c630f8","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_01TFL1AGZRj7MtrnSjbPBEdE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T6pUnLYz43hftfqSqhonHG","name":"Glob","input":{"pattern":"src/**/*","path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":9927,"cache_read_input_tokens":23760,"cache_creation":{"ephemeral_5m_input_tokens":9927,"ephemeral_1h_input_tokens":0},"output_tokens":464,"service_tier":"standard"}},"requestId":"req_011CX3zdxEMH2aHrsySssmoG","type":"assistant","uuid":"20556979-9a6c-438b-8d80-698277597b54","timestamp":"2026-01-12T18:56:56.025Z"}
{"parentUuid":"ac9fb4aa-d8bb-44ff-a93a-cd4c10c630f8","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KvpNy7ugGEkzV3SohPMnhL","type":"tool_result","content":"No files found"}]},"uuid":"d6dc1643-92aa-439b-b9eb-b32aa99b7e08","timestamp":"2026-01-12T18:57:09.172Z","toolUseResult":{"filenames":[],"durationMs":892,"numFiles":0,"truncated":false},"sourceToolAssistantUUID":"ac9fb4aa-d8bb-44ff-a93a-cd4c10c630f8"}
{"parentUuid":"20556979-9a6c-438b-8d80-698277597b54","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T6pUnLYz43hftfqSqhonHG","type":"tool_result","content":"No files found"}]},"uuid":"5c3657cc-cbf5-49cd-824b-6b76ceae83b9","timestamp":"2026-01-12T18:57:09.342Z","toolUseResult":{"filenames":[],"durationMs":1063,"numFiles":0,"truncated":false},"sourceToolAssistantUUID":"20556979-9a6c-438b-8d80-698277597b54"}
{"parentUuid":"5c3657cc-cbf5-49cd-824b-6b76ceae83b9","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_01BjaEwknmWsAz7fF6NPqCim","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Confirmed - there's no frontend code yet. I'll create proactive UI/UX recommendations for when the frontend is built. These will be concrete, actionable ideas based on the spec that will help ensure good UX from the start.\n\nI'll focus on:\n1. LLM provider status visualization with real-time indicators\n2. Cost tracking dashboard with clear spending insights\n3. Spec interview wizard with progressive disclosure\n4. Task viewer with model routing transparency\n5. Accessibility foundations for the entire UI\n\nLet me create the ideation JSON output file.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":536,"cache_read_input_tokens":33687,"cache_creation":{"ephemeral_5m_input_tokens":536,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard"}},"requestId":"req_011CX3zfkSVTqc8MapdDyaNf","type":"assistant","uuid":"e1763785-34ba-4f4d-9742-cb655546fa67","timestamp":"2026-01-12T18:57:32.305Z"}
{"parentUuid":"e1763785-34ba-4f4d-9742-cb655546fa67","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_01BjaEwknmWsAz7fF6NPqCim","type":"message","role":"assistant","content":[{"type":"text","text":"Confirmed - the frontend is planned but not yet implemented. I'll create proactive UI/UX improvement recommendations based on the specification that will provide value when the frontend is built. Let me create the output file:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":536,"cache_read_input_tokens":33687,"cache_creation":{"ephemeral_5m_input_tokens":536,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard"}},"requestId":"req_011CX3zfkSVTqc8MapdDyaNf","type":"assistant","uuid":"16db7317-e63a-4c8d-96d7-bfaf8a38cf70","timestamp":"2026-01-12T18:57:32.777Z"}
{"parentUuid":"16db7317-e63a-4c8d-96d7-bfaf8a38cf70","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_01BjaEwknmWsAz7fF6NPqCim","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RD3nDxbYNvbvze6btN65XT","name":"Write","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus\\.auto-claude\\ideation\\ui_ux_improvements_ideas.json","content":"{\n \"ui_ux_improvements\": [\n {\n \"id\": \"uiux-001\",\n \"type\": \"ui_ux_improvements\",\n \"title\": \"Real-time LLM Provider Health Indicators\",\n \"description\": \"Implement a visual status dashboard showing real-time health and availability of all LLM providers (Claude, Gemini, Grok, Ollama) with clear visual indicators\",\n \"rationale\": \"Users need immediate visibility into which AI models are available, especially since the system routes tasks to different providers. Without clear status, users may submit tasks to unavailable providers or not understand why tasks are failing.\",\n \"category\": \"usability\",\n \"affected_components\": [\"frontend/src/components/ModelStatus.tsx\", \"frontend/src/pages/Dashboard.tsx\"],\n \"screenshots\": [],\n \"current_state\": \"Planned component ModelStatus.tsx will display provider health - needs UX specification for clear, at-a-glance status communication\",\n \"proposed_change\": \"Design ModelStatus with: (1) Color-coded status badges (green=available, yellow=degraded, red=unavailable, gray=not configured) (2) Response time indicators showing latency (3) Tooltip on hover with details like API quota remaining, last successful call (4) Automatic refresh every 30 seconds with manual refresh option (5) Accessibility: ARIA labels for screen readers announcing status changes\",\n \"user_benefit\": \"Users can instantly understand system capabilities before submitting tasks, reducing frustration from failed requests and enabling informed model selection\",\n \"status\": \"draft\",\n \"created_at\": \"2026-01-12T11:55:00.000Z\"\n },\n {\n \"id\": \"uiux-002\",\n \"type\": \"ui_ux_improvements\",\n \"title\": \"Cost Tracking Dashboard with Budget Alerts\",\n \"description\": \"Create a comprehensive cost visualization dashboard with real-time spending, per-provider breakdown, and configurable budget alerts\",\n \"rationale\": \"The spec emphasizes cost optimization as a key feature. Users need clear visibility into spending to make informed decisions about model routing and to prevent unexpected bills.\",\n \"category\": \"usability\",\n \"affected_components\": [\"frontend/src/components/CostTracker.tsx\", \"frontend/src/pages/Dashboard.tsx\"],\n \"screenshots\": [],\n \"current_state\": \"Planned CostTracker.tsx component needs detailed UX design for effective cost communication\",\n \"proposed_change\": \"Implement CostTracker with: (1) Total spend card with period selector (today/week/month) (2) Pie chart showing cost breakdown by provider (3) Bar chart showing daily/weekly cost trends (4) Table of most expensive tasks with model used (5) Budget threshold settings with visual progress bar (6) Alert banner when approaching budget limit (80%, 90%, 100%) (7) Export capability for cost reports (8) Comparison of actual vs saved costs by using local Ollama models\",\n \"user_benefit\": \"Users gain full control over API spending, can identify cost drivers, set budgets to avoid overruns, and see the concrete savings from intelligent model routing\",\n \"status\": \"draft\",\n \"created_at\": \"2026-01-12T11:55:00.000Z\"\n },\n {\n \"id\": \"uiux-003\",\n \"type\": \"ui_ux_improvements\",\n \"title\": \"Spec Interview Wizard with Progress Indicators\",\n \"description\": \"Design the spec creation interview as a multi-step wizard with clear progress, save-and-resume, and contextual help\",\n \"rationale\": \"The adaptive spec system is central to the platform. A poorly designed interview will frustrate users and result in incomplete or unclear specifications that lead to poor implementation outcomes.\",\n \"category\": \"interaction\",\n \"affected_components\": [\"frontend/src/pages/SpecEditor.tsx\"],\n \"screenshots\": [],\n \"current_state\": \"SpecEditor.tsx is planned but needs UX design for the interview workflow\",\n \"proposed_change\": \"Design interview wizard with: (1) Step indicator showing current position (e.g., 'Step 2 of 5: Technical Requirements') (2) Auto-save draft every 30 seconds with visual confirmation (3) 'Save and continue later' button with email reminder option (4) Contextual help tooltips explaining why each question matters (5) Rich text editor for description fields with markdown preview (6) Question branching based on previous answers (7) Summary review step before submission (8) Keyboard navigation for accessibility (Tab, Enter to proceed) (9) Mobile-responsive layout for on-the-go spec creation\",\n \"user_benefit\": \"Users can complete spec interviews without losing work, understand the purpose of each question, and feel confident their requirements are captured accurately\",\n \"status\": \"draft\",\n \"created_at\": \"2026-01-12T11:55:00.000Z\"\n },\n {\n \"id\": \"uiux-004\",\n \"type\": \"ui_ux_improvements\",\n \"title\": \"Task Viewer with Model Routing Transparency\",\n \"description\": \"Enhance TaskViewer to show which LLM was selected for each task and why, making the routing logic transparent to users\",\n \"rationale\": \"The spec highlights 'transparency' as a key differentiator - users should have 'full visibility into which models did what and why'. Without this, the multi-model system feels like a black box.\",\n \"category\": \"usability\",\n \"affected_components\": [\"frontend/src/pages/TaskViewer.tsx\"],\n \"screenshots\": [],\n \"current_state\": \"TaskViewer.tsx is planned but needs design for routing transparency\",\n \"proposed_change\": \"Implement transparency features: (1) Badge showing which model executed each task (2) Expandable 'Routing Decision' panel explaining why this model was chosen (e.g., 'Selected Ollama for file analysis - no API cost, sufficient capability') (3) For cross-validated tasks, show all models that participated with their verdicts (4) Cost indicator per task (5) Execution timeline showing duration (6) 'Would have cost' comparison showing what cloud-only execution would cost (7) Filter/sort by model used (8) Visual indicator when task used fallback model due to primary unavailability\",\n \"user_benefit\": \"Users understand the system's decision-making, can verify appropriate model selection, and see concrete value from intelligent routing\",\n \"status\": \"draft\",\n \"created_at\": \"2026-01-12T11:55:00.000Z\"\n },\n {\n \"id\": \"uiux-005\",\n \"type\": \"ui_ux_improvements\",\n \"title\": \"Accessibility-First Component Foundation\",\n \"description\": \"Establish accessibility standards and patterns for all UI components from the start, ensuring WCAG 2.1 AA compliance\",\n \"rationale\": \"Building accessibility in from the beginning is far easier than retrofitting. The platform will be used by developers who may have various accessibility needs, and accessible design benefits all users.\",\n \"category\": \"accessibility\",\n \"affected_components\": [\"frontend/src/components/*\", \"frontend/src/App.tsx\"],\n \"screenshots\": [],\n \"current_state\": \"No frontend code exists yet - perfect time to establish accessibility patterns\",\n \"proposed_change\": \"Establish these patterns before building: (1) Use semantic HTML elements (nav, main, aside, article) (2) Implement skip-to-content link for keyboard users (3) Ensure all interactive elements have visible focus states (4) Use ARIA labels for icon-only buttons (5) Implement role='alert' for status changes and notifications (6) Ensure color contrast ratio minimum 4.5:1 for text (7) Support prefers-reduced-motion for animations (8) Keyboard shortcuts for common actions with discoverable help (?) (9) Error messages associated with form fields via aria-describedby (10) Test with axe-core in development pipeline\",\n \"user_benefit\": \"All users can effectively use the platform regardless of abilities, reducing barriers and ensuring professional-quality UX that reflects well on the product\",\n \"status\": \"draft\",\n \"created_at\": \"2026-01-12T11:55:00.000Z\"\n }\n ],\n \"metadata\": {\n \"generated_at\": \"2026-01-12T11:55:00.000Z\",\n \"project_state\": \"greenfield - frontend not yet implemented\",\n \"analysis_method\": \"specification-based proactive UX recommendations\",\n \"notes\": \"These recommendations are based on the project specification since no frontend code exists yet. 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{"parentUuid":"ebdf5252-4707-405c-b0b4-1913ba1f758c","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GXa7jNroRxf3GNwEu9gToj","type":"tool_result","content":" 1→{\n 2→ \"ui_ux_improvements\": [\n 3→ {\n 4→ \"id\": \"uiux-001\",\n 5→ \"type\": \"ui_ux_improvements\",\n 6→ \"title\": \"Real-time LLM Provider Health Indicators\",\n 7→ \"description\": \"Implement a visual status dashboard showing real-time health and availability of all LLM providers (Claude, Gemini, Grok, Ollama) with clear visual indicators\",\n 8→ \"rationale\": \"Users need immediate visibility into which AI models are available, especially since the system routes tasks to different providers. Without clear status, users may submit tasks to unavailable providers or not understand why tasks are failing.\",\n 9→ \"category\": \"usability\",\n 10→ \"affected_components\": [\"frontend/src/components/ModelStatus.tsx\", \"frontend/src/pages/Dashboard.tsx\"],\n 11→ \"screenshots\": [],\n 12→ \"current_state\": \"Planned component ModelStatus.tsx will display provider health - needs UX specification for clear, at-a-glance status communication\",\n 13→ \"proposed_change\": \"Design ModelStatus with: (1) Color-coded status badges (green=available, yellow=degraded, red=unavailable, gray=not configured) (2) Response time indicators showing latency (3) Tooltip on hover with details like API quota remaining, last successful call (4) Automatic refresh every 30 seconds with manual refresh option (5) Accessibility: ARIA labels for screen readers announcing status changes\",\n 14→ \"user_benefit\": \"Users can instantly understand system capabilities before submitting tasks, reducing frustration from failed requests and enabling informed model selection\",\n 15→ \"status\": \"draft\",\n 16→ \"created_at\": \"2026-01-12T11:55:00.000Z\"\n 17→ },\n 18→ {\n 19→ \"id\": \"uiux-002\",\n 20→ \"type\": \"ui_ux_improvements\",\n 21→ \"title\": \"Cost Tracking Dashboard with Budget Alerts\",\n 22→ \"description\": \"Create a comprehensive cost visualization dashboard with real-time spending, per-provider breakdown, and configurable budget alerts\",\n 23→ \"rationale\": \"The spec emphasizes cost optimization as a key feature. Users need clear visibility into spending to make informed decisions about model routing and to prevent unexpected bills.\",\n 24→ \"category\": \"usability\",\n 25→ \"affected_components\": [\"frontend/src/components/CostTracker.tsx\", \"frontend/src/pages/Dashboard.tsx\"],\n 26→ \"screenshots\": [],\n 27→ \"current_state\": \"Planned CostTracker.tsx component needs detailed UX design for effective cost communication\",\n 28→ \"proposed_change\": \"Implement CostTracker with: (1) Total spend card with period selector (today/week/month) (2) Pie chart showing cost breakdown by provider (3) Bar chart showing daily/weekly cost trends (4) Table of most expensive tasks with model used (5) Budget threshold settings with visual progress bar (6) Alert banner when approaching budget limit (80%, 90%, 100%) (7) Export capability for cost reports (8) Comparison of actual vs saved costs by using local Ollama models\",\n 29→ \"user_benefit\": \"Users gain full control over API spending, can identify cost drivers, set budgets to avoid overruns, and see the concrete savings from intelligent model routing\",\n 30→ \"status\": \"draft\",\n 31→ \"created_at\": \"2026-01-12T11:55:00.000Z\"\n 32→ },\n 33→ {\n 34→ \"id\": \"uiux-003\",\n 35→ \"type\": \"ui_ux_improvements\",\n 36→ \"title\": \"Spec Interview Wizard with Progress Indicators\",\n 37→ \"description\": \"Design the spec creation interview as a multi-step wizard with clear progress, save-and-resume, and contextual help\",\n 38→ \"rationale\": \"The adaptive spec system is central to the platform. A poorly designed interview will frustrate users and result in incomplete or unclear specifications that lead to poor implementation outcomes.\",\n 39→ \"category\": \"interaction\",\n 40→ \"affected_components\": [\"frontend/src/pages/SpecEditor.tsx\"],\n 41→ \"screenshots\": [],\n 42→ \"current_state\": \"SpecEditor.tsx is planned but needs UX design for the interview workflow\",\n 43→ \"proposed_change\": \"Design interview wizard with: (1) Step indicator showing current position (e.g., 'Step 2 of 5: Technical Requirements') (2) Auto-save draft every 30 seconds with visual confirmation (3) 'Save and continue later' button with email reminder option (4) Contextual help tooltips explaining why each question matters (5) Rich text editor for description fields with markdown preview (6) Question branching based on previous answers (7) Summary review step before submission (8) Keyboard navigation for accessibility (Tab, Enter to proceed) (9) Mobile-responsive layout for on-the-go spec creation\",\n 44→ \"user_benefit\": \"Users can complete spec interviews without losing work, understand the purpose of each question, and feel confident their requirements are captured accurately\",\n 45→ \"status\": \"draft\",\n 46→ \"created_at\": \"2026-01-12T11:55:00.000Z\"\n 47→ },\n 48→ {\n 49→ \"id\": \"uiux-004\",\n 50→ \"type\": \"ui_ux_improvements\",\n 51→ \"title\": \"Task Viewer with Model Routing Transparency\",\n 52→ \"description\": \"Enhance TaskViewer to show which LLM was selected for each task and why, making the routing logic transparent to users\",\n 53→ \"rationale\": \"The spec highlights 'transparency' as a key differentiator - users should have 'full visibility into which models did what and why'. Without this, the multi-model system feels like a black box.\",\n 54→ \"category\": \"usability\",\n 55→ \"affected_components\": [\"frontend/src/pages/TaskViewer.tsx\"],\n 56→ \"screenshots\": [],\n 57→ \"current_state\": \"TaskViewer.tsx is planned but needs design for routing transparency\",\n 58→ \"proposed_change\": \"Implement transparency features: (1) Badge showing which model executed each task (2) Expandable 'Routing Decision' panel explaining why this model was chosen (e.g., 'Selected Ollama for file analysis - no API cost, sufficient capability') (3) For cross-validated tasks, show all models that participated with their verdicts (4) Cost indicator per task (5) Execution timeline showing duration (6) 'Would have cost' comparison showing what cloud-only execution would cost (7) Filter/sort by model used (8) Visual indicator when task used fallback model due to primary unavailability\",\n 59→ \"user_benefit\": \"Users understand the system's decision-making, can verify appropriate model selection, and see concrete value from intelligent routing\",\n 60→ \"status\": \"draft\",\n 61→ \"created_at\": \"2026-01-12T11:55:00.000Z\"\n 62→ },\n 63→ {\n 64→ \"id\": \"uiux-005\",\n 65→ \"type\": \"ui_ux_improvements\",\n 66→ \"title\": \"Accessibility-First Component Foundation\",\n 67→ \"description\": \"Establish accessibility standards and patterns for all UI components from the start, ensuring WCAG 2.1 AA compliance\",\n 68→ \"rationale\": \"Building accessibility in from the beginning is far easier than retrofitting. The platform will be used by developers who may have various accessibility needs, and accessible design benefits all users.\",\n 69→ \"category\": \"accessibility\",\n 70→ \"affected_components\": [\"frontend/src/components/*\", \"frontend/src/App.tsx\"],\n 71→ \"screenshots\": [],\n 72→ \"current_state\": \"No frontend code exists yet - perfect time to establish accessibility patterns\",\n 73→ \"proposed_change\": \"Establish these patterns before building: (1) Use semantic HTML elements (nav, main, aside, article) (2) Implement skip-to-content link for keyboard users (3) Ensure all interactive elements have visible focus states (4) Use ARIA labels for icon-only buttons (5) Implement role='alert' for status changes and notifications (6) Ensure color contrast ratio minimum 4.5:1 for text (7) Support prefers-reduced-motion for animations (8) Keyboard shortcuts for common actions with discoverable help (?) 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Users need clear visibility into spending to make informed decisions about model routing and to prevent unexpected bills.\",\n \"category\": \"usability\",\n \"affected_components\": [\"frontend/src/components/CostTracker.tsx\", \"frontend/src/pages/Dashboard.tsx\"],\n \"screenshots\": [],\n \"current_state\": \"Planned CostTracker.tsx component needs detailed UX design for effective cost communication\",\n \"proposed_change\": \"Implement CostTracker with: (1) Total spend card with period selector (today/week/month) (2) Pie chart showing cost breakdown by provider (3) Bar chart showing daily/weekly cost trends (4) Table of most expensive tasks with model used (5) Budget threshold settings with visual progress bar (6) Alert banner when approaching budget limit (80%, 90%, 100%) (7) Export capability for cost reports (8) Comparison of actual vs saved costs by using local Ollama models\",\n \"user_benefit\": \"Users gain full control over API spending, can identify cost drivers, set budgets to avoid overruns, and see the concrete savings from intelligent model routing\",\n \"status\": \"draft\",\n \"created_at\": \"2026-01-12T11:55:00.000Z\"\n },\n {\n \"id\": \"uiux-003\",\n \"type\": \"ui_ux_improvements\",\n \"title\": \"Spec Interview Wizard with Progress Indicators\",\n \"description\": \"Design the spec creation interview as a multi-step wizard with clear progress, save-and-resume, and contextual help\",\n \"rationale\": \"The adaptive spec system is central to the platform. A poorly designed interview will frustrate users and result in incomplete or unclear specifications that lead to poor implementation outcomes.\",\n \"category\": \"interaction\",\n \"affected_components\": [\"frontend/src/pages/SpecEditor.tsx\"],\n \"screenshots\": [],\n \"current_state\": \"SpecEditor.tsx is planned but needs UX design for the interview workflow\",\n \"proposed_change\": \"Design interview wizard with: (1) Step indicator showing current position (e.g., 'Step 2 of 5: Technical Requirements') (2) Auto-save draft every 30 seconds with visual confirmation (3) 'Save and continue later' button with email reminder option (4) Contextual help tooltips explaining why each question matters (5) Rich text editor for description fields with markdown preview (6) Question branching based on previous answers (7) Summary review step before submission (8) Keyboard navigation for accessibility (Tab, Enter to proceed) (9) Mobile-responsive layout for on-the-go spec creation\",\n \"user_benefit\": \"Users can complete spec interviews without losing work, understand the purpose of each question, and feel confident their requirements are captured accurately\",\n \"status\": \"draft\",\n \"created_at\": \"2026-01-12T11:55:00.000Z\"\n },\n {\n \"id\": \"uiux-004\",\n \"type\": \"ui_ux_improvements\",\n \"title\": \"Task Viewer with Model Routing Transparency\",\n \"description\": \"Enhance TaskViewer to show which LLM was selected for each task and why, making the routing logic transparent to users\",\n \"rationale\": \"The spec highlights 'transparency' as a key differentiator - users should have 'full visibility into which models did what and why'. Without this, the multi-model system feels like a black box.\",\n \"category\": \"usability\",\n \"affected_components\": [\"frontend/src/pages/TaskViewer.tsx\"],\n \"screenshots\": [],\n \"current_state\": \"TaskViewer.tsx is planned but needs design for routing transparency\",\n \"proposed_change\": \"Implement transparency features: (1) Badge showing which model executed each task (2) Expandable 'Routing Decision' panel explaining why this model was chosen (e.g., 'Selected Ollama for file analysis - no API cost, sufficient capability') (3) For cross-validated tasks, show all models that participated with their verdicts (4) Cost indicator per task (5) Execution timeline showing duration (6) 'Would have cost' comparison showing what cloud-only execution would cost (7) Filter/sort by model used (8) Visual indicator when task used fallback model due to primary unavailability\",\n \"user_benefit\": \"Users understand the system's decision-making, can verify appropriate model selection, and see concrete value from intelligent routing\",\n \"status\": \"draft\",\n \"created_at\": \"2026-01-12T11:55:00.000Z\"\n },\n {\n \"id\": \"uiux-005\",\n \"type\": \"ui_ux_improvements\",\n \"title\": \"Accessibility-First Component Foundation\",\n \"description\": \"Establish accessibility standards and patterns for all UI components from the start, ensuring WCAG 2.1 AA compliance\",\n \"rationale\": \"Building accessibility in from the beginning is far easier than retrofitting. The platform will be used by developers who may have various accessibility needs, and accessible design benefits all users.\",\n \"category\": \"accessibility\",\n \"affected_components\": [\"frontend/src/components/*\", \"frontend/src/App.tsx\"],\n \"screenshots\": [],\n \"current_state\": \"No frontend code exists yet - perfect time to establish accessibility patterns\",\n \"proposed_change\": \"Establish these patterns before building: (1) Use semantic HTML elements (nav, main, aside, article) (2) Implement skip-to-content link for keyboard users (3) Ensure all interactive elements have visible focus states (4) Use ARIA labels for icon-only buttons (5) Implement role='alert' for status changes and notifications (6) Ensure color contrast ratio minimum 4.5:1 for text (7) Support prefers-reduced-motion for animations (8) Keyboard shortcuts for common actions with discoverable help (?) (9) Error messages associated with form fields via aria-describedby (10) Test with axe-core in development pipeline\",\n \"user_benefit\": \"All users can effectively use the platform regardless of abilities, reducing barriers and ensuring professional-quality UX that reflects well on the product\",\n \"status\": \"draft\",\n \"created_at\": \"2026-01-12T11:55:00.000Z\"\n }\n ],\n \"metadata\": {\n \"generated_at\": \"2026-01-12T11:55:00.000Z\",\n \"project_state\": \"greenfield - frontend not yet implemented\",\n \"analysis_method\": \"specification-based proactive UX recommendations\",\n \"notes\": \"These recommendations are based on the project specification since no frontend code exists yet. They provide UX patterns and best practices to implement from the start rather than retrofit later.\"\n }\n}\n","numLines":86,"startLine":1,"totalLines":86}},"sourceToolAssistantUUID":"ebdf5252-4707-405c-b0b4-1913ba1f758c"}
{"parentUuid":"14642748-eca2-4ff3-96c3-500f1cc04c25","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_01ET28RZApnz1UqTQcM4Wwen","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The file was created successfully with valid JSON. Let me provide the completion summary.","signature":"EoECCkYICxgCKkAsaIdRNv9R2tkxoEUWco+oT0GbW6KWHaTOCCWmfSih9JLNPXiXuYKqPIBJERELIeZK9W4GYhpKuYfJjJXpIMfoEgzs20FYhNW+WxQkhzAaDHObo5UWtuFodY9YaSIw5dwDK8tO9/pgh9sP4Y3M3oiuNiWCpXZiD0S5L6bTInq8xXAa91MHo3REGksBq5iHKml9BcaqaIMhwIu6q0lgicy/6Yr81cHSKXT36muO5slzTLDDl9RSY4NYWOwBzq7SirBXpN+F0gybRL2eN1CEc/4UThU2EkLZK8hv4XOdzA9s7W+WcYteuNlIap/hW/BFm8I9cWyezNcWI2cYAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2656,"cache_read_input_tokens":36628,"cache_creation":{"ephemeral_5m_input_tokens":2656,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3znKZiUnmLMHtoy3i5g","type":"assistant","uuid":"19874c0c-225f-4820-9590-7ba4a3f76011","timestamp":"2026-01-12T18:58:50.778Z"}
{"parentUuid":"19874c0c-225f-4820-9590-7ba4a3f76011","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPlus\\auto-claude-plus","sessionId":"d957b116-9afc-4900-a067-1deb9dadc8af","version":"2.1.5","gitBranch":"master","slug":"virtual-skipping-island","message":{"model":"claude-opus-4-5-20251101","id":"msg_01ET28RZApnz1UqTQcM4Wwen","type":"message","role":"assistant","content":[{"type":"text","text":"=== UI/UX IDEATION COMPLETE ===\n\n**Ideas Generated**: 5\n\n**Summary by Category**:\n- Usability: 3 (uiux-001, uiux-002, uiux-004)\n- Accessibility: 1 (uiux-005)\n- Performance: 0\n- Visual: 0\n- Interaction: 1 (uiux-003)\n\n**Analysis Method**: Specification-based proactive UX recommendations\n\n**Project State**: Greenfield - frontend not yet implemented. The React/TypeScript frontend is planned but no code exists yet. This is actually an optimal time for UI/UX ideation because these patterns can be built in from the start rather than retrofitted.\n\n**Ideas Generated**:\n\n| ID | Title | Category | Key Benefit |\n|----|-------|----------|-------------|\n| uiux-001 | Real-time LLM Provider Health Indicators | Usability | Users see at-a-glance which AI models are available |\n| uiux-002 | Cost Tracking Dashboard with Budget Alerts | Usability | Full visibility into API spending with budget controls |\n| uiux-003 | Spec Interview Wizard with Progress | Interaction | Guided spec creation with auto-save and progress indicators |\n| uiux-004 | Task Viewer with Model Routing Transparency | Usability | Transparency into which model handled which task and why |\n| uiux-005 | Accessibility-First Component Foundation | Accessibility | WCAG 2.1 AA compliance from day one |\n\n**Screenshots**: None captured - no frontend exists yet to screenshot\n\n**Output file**: `.auto-claude\\ideation\\ui_ux_improvements_ideas.json` created successfully\n\n**Validation**:\n- [x] Valid JSON\n- [x] Each idea has unique id starting with \"uiux-\"\n- [x] Each idea has valid category\n- [x] Each idea has affected_components with planned component paths\n- [x] Each idea has specific current_state and proposed_change\n\n**Next phase**: Ready for prioritization and implementation planning when frontend development begins"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2656,"cache_read_input_tokens":36628,"cache_creation":{"ephemeral_5m_input_tokens":2656,"ephemeral_1h_input_tokens":0},"output_tokens":516,"service_tier":"standard"}},"requestId":"req_011CX3znKZiUnmLMHtoy3i5g","type":"assistant","uuid":"b7400e53-3466-45bb-ad95-bc3f8244cc07","timestamp":"2026-01-12T18:58:58.578Z"}
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