chore(infra): align systemd units and Forgejo runners

Point services to /opt/innercontext/current release paths, remove stale phase completion docs, and switch Forgejo workflows to run on the lxc runner label.

.forgejo/workflows/ci.yml

@@ -0,0 +1,108 @@
+name: CI
+
+on:
+  push:
+    branches:
+      - main
+      - develop
+  pull_request:
+    branches:
+      - main
+      - develop
+
+jobs:
+  backend-lint:
+    name: Backend Linting & Type Checking
+    runs-on: lxc
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install uv
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+
+      - name: Install dependencies
+        working-directory: backend
+        run: uv sync
+
+      - name: Run ruff check
+        working-directory: backend
+        run: uv run ruff check .
+
+      - name: Run black check
+        working-directory: backend
+        run: uv run black --check .
+
+      - name: Run isort check
+        working-directory: backend
+        run: uv run isort --check-only .
+
+      - name: Run mypy type checking
+        working-directory: backend
+        run: uv run mypy innercontext/
+        continue-on-error: true  # Don't fail CI on type errors for now
+
+  frontend-check:
+    name: Frontend Type Checking & Linting
+    runs-on: lxc
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '20'
+
+      - name: Install pnpm
+        run: npm install -g pnpm
+
+      - name: Install dependencies
+        working-directory: frontend
+        run: pnpm install --frozen-lockfile
+
+      - name: Run svelte-check
+        working-directory: frontend
+        run: pnpm check
+
+      - name: Run lint
+        working-directory: frontend
+        run: pnpm lint
+
+      - name: Build frontend
+        working-directory: frontend
+        run: pnpm build
+
+  backend-test:
+    name: Backend Tests
+    runs-on: lxc
+    # Disabled for now since tests are not integrated yet
+    if: false
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install uv
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+
+      - name: Install dependencies
+        working-directory: backend
+        run: uv sync
+
+      - name: Run tests
+        working-directory: backend
+        run: uv run pytest

.forgejo/workflows/deploy-manual.yml

@@ -18,7 +18,7 @@ on:
 jobs:
   deploy:
     name: Manual deployment to LXC
-    runs-on: ubuntu-latest
+    runs-on: lxc
     steps:
       - name: Checkout code
         uses: actions/checkout@v4

PHASE1_COMPLETE.md

@@ -1,231 +0,0 @@
-# Phase 1: Safety & Validation - COMPLETE ✅
-
-## Summary
-
-Phase 1 implementation is complete! All LLM-based suggestion engines now have input sanitization and response validation to prevent dangerous suggestions from reaching users.
-
-## What Was Implemented
-
-### 1. Input Sanitization (`innercontext/llm_safety.py`)
-- **Sanitizes user input** to prevent prompt injection attacks
-- Removes patterns like "ignore previous instructions", "you are now a", etc.
-- Length-limits user input (500 chars for notes, 10000 for product text)
-- Wraps user input in clear delimiters for LLM
-
-### 2. Validator Classes (`innercontext/validators/`)
-Created 5 validators with comprehensive safety checks:
-
-#### **RoutineSuggestionValidator** (88% test coverage)
-- ✅ Rejects unknown product_ids
-- ✅ Blocks retinoid + acid in same routine
-- ✅ Enforces min_interval_hours rules
-- ✅ Checks compromised barrier compatibility
-- ✅ Validates context_rules (safe_after_shaving, etc.)
-- ✅ Warns when AM routine missing SPF
-- ✅ Rejects prohibited fields (dose, amount, etc.)
-- ✅ Ensures each step has product_id OR action_type (not both/neither)
-
-#### **BatchValidator**
-- ✅ Validates each day's AM/PM routines individually
-- ✅ Checks for retinoid + acid conflicts across same day
-- ✅ Enforces max_frequency_per_week limits
-- ✅ Tracks product usage across multi-day periods
-
-#### **ShoppingValidator**
-- ✅ Validates product types are realistic
-- ✅ Blocks brand name suggestions (should be types only)
-- ✅ Validates recommended frequencies
-- ✅ Checks target concerns are valid
-- ✅ Validates category and time recommendations
-
-#### **ProductParseValidator**
-- ✅ Validates all enum values match allowed strings
-- ✅ Checks effect_profile scores are 0-5
-- ✅ Validates pH ranges (0-14)
-- ✅ Checks actives have valid functions
-- ✅ Validates strength/irritation levels (1-3)
-- ✅ Ensures booleans are actual booleans
-
-#### **PhotoValidator**
-- ✅ Validates enum values (skin_type, barrier_state, etc.)
-- ✅ Checks metrics are 1-5 integers
-- ✅ Validates active concerns from valid set
-- ✅ Ensures risks/priorities are short phrases (<10 words)
-
-### 3. Database Schema Updates
-- Added `validation_errors` (JSON) to `ai_call_logs`
-- Added `validation_warnings` (JSON) to `ai_call_logs`
-- Added `auto_fixed` (boolean) to `ai_call_logs`
-- Migration ready: `alembic/versions/60c8e1ade29d_add_validation_fields_to_ai_call_logs.py`
-
-### 4. API Integration
-All 5 endpoints now validate responses:
-
-1. **`POST /routines/suggest`**
-   - Sanitizes user notes
-   - Validates routine safety before returning
-   - Rejects if validation errors found
-   - Logs warnings
-
-2. **`POST /routines/suggest-batch`**
-   - Sanitizes user notes
-   - Validates multi-day plan safety
-   - Checks same-day retinoid+acid conflicts
-   - Enforces frequency limits across batch
-
-3. **`POST /products/suggest`**
-   - Validates shopping suggestions
-   - Checks suggested types are realistic
-   - Ensures no brand names suggested
-
-4. **`POST /products/parse-text`**
-   - Sanitizes input text (up to 10K chars)
-   - Validates all parsed fields
-   - Checks enum values and ranges
-
-5. **`POST /skincare/analyze-photos`**
-   - Validates photo analysis output
-   - Checks all metrics and enums
-
-### 5. Test Suite
-Created comprehensive test suite:
-- **9 test cases** for RoutineSuggestionValidator
-- **All tests passing** ✅
-- **88% code coverage** on validator logic
-
-## Validation Behavior
-
-When validation fails:
-- ✅ **Errors logged** to application logs
-- ✅ **HTTP 502 returned** to client with error details
-- ✅ **Dangerous suggestions blocked** from reaching users
-
-When validation has warnings:
-- ✅ **Warnings logged** for monitoring
-- ✅ **Response allowed** (non-critical issues)
-
-## Files Created/Modified
-
-### Created:
-```
-backend/innercontext/llm_safety.py
-backend/innercontext/validators/__init__.py
-backend/innercontext/validators/base.py
-backend/innercontext/validators/routine_validator.py
-backend/innercontext/validators/shopping_validator.py
-backend/innercontext/validators/product_parse_validator.py
-backend/innercontext/validators/batch_validator.py
-backend/innercontext/validators/photo_validator.py
-backend/alembic/versions/60c8e1ade29d_add_validation_fields_to_ai_call_logs.py
-backend/tests/validators/__init__.py
-backend/tests/validators/test_routine_validator.py
-```
-
-### Modified:
-```
-backend/innercontext/models/ai_log.py (added validation fields)
-backend/innercontext/api/routines.py (added sanitization + validation)
-backend/innercontext/api/products.py (added sanitization + validation)
-backend/innercontext/api/skincare.py (added validation)
-```
-
-## Safety Checks Implemented
-
-### Critical Checks (Block Response):
-1. ✅ Unknown product IDs
-2. ✅ Retinoid + acid conflicts (same routine or same day)
-3. ✅ min_interval_hours violations
-4. ✅ Compromised barrier + high-risk actives
-5. ✅ Products not safe with compromised barrier
-6. ✅ Prohibited fields in response (dose, amount, etc.)
-7. ✅ Invalid enum values
-8. ✅ Out-of-range scores/metrics
-9. ✅ Empty/malformed steps
-10. ✅ Frequency limit violations (batch)
-
-### Warning Checks (Allow but Log):
-1. ✅ AM routine without SPF when leaving home
-2. ✅ Products that may irritate after shaving
-3. ✅ High irritation risk with compromised barrier
-4. ✅ Unusual product types in shopping suggestions
-5. ✅ Overly long risks/priorities in photo analysis
-
-## Test Results
-
-```
-============================= test session starts ==============================
-tests/validators/test_routine_validator.py::test_detects_retinoid_acid_conflict PASSED
-tests/validators/test_routine_validator.py::test_rejects_unknown_product_ids PASSED
-tests/validators/test_routine_validator.py::test_enforces_min_interval_hours PASSED
-tests/validators/test_routine_validator.py::test_blocks_dose_field PASSED
-tests/validators/test_routine_validator.py::test_missing_spf_in_am_leaving_home PASSED
-tests/validators/test_routine_validator.py::test_compromised_barrier_restrictions PASSED
-tests/validators/test_routine_validator.py::test_step_must_have_product_or_action PASSED
-tests/validators/test_routine_validator.py::test_step_cannot_have_both_product_and_action PASSED
-tests/validators/test_routine_validator.py::test_accepts_valid_routine PASSED
-
-============================== 9 passed in 0.38s ===============================
-```
-
-## Deployment Steps
-
-To deploy Phase 1 to your LXC:
-
-```bash
-# 1. On local machine - deploy backend
-./deploy.sh backend
-
-# 2. On LXC - run migration
-ssh innercontext
-cd /opt/innercontext/backend
-sudo -u innercontext uv run alembic upgrade head
-
-# 3. Restart service
-sudo systemctl restart innercontext
-
-# 4. Verify logs show validation working
-sudo journalctl -u innercontext -f
-```
-
-## Expected Impact
-
-### Before Phase 1:
-- ❌ 6 validation failures out of 189 calls (3.2% failure rate from logs)
-- ❌ No protection against prompt injection
-- ❌ No safety checks on LLM outputs
-- ❌ Dangerous suggestions could reach users
-
-### After Phase 1:
-- ✅ **0 dangerous suggestions reach users** (all blocked by validation)
-- ✅ **100% protection** against prompt injection attacks
-- ✅ **All outputs validated** before returning to users
-- ✅ **Issues logged** for analysis and prompt improvement
-
-## Known Issues from Logs (Now Fixed)
-
-From analysis of `ai_call_log.json`:
-
-1. **Lines 10, 27, 61, 78:** LLM returned prohibited `dose` field
-   - ✅ **Now blocked** by validator
-
-2. **Line 85:** MAX_TOKENS failure (output truncated)
-   - ✅ **Will be detected** (malformed JSON fails validation)
-
-3. **Line 10:** Response text truncated mid-JSON
-   - ✅ **Now caught** by JSON parsing + validation
-
-4. **products/parse-text:** Only 80% success rate (4/20 failed)
-   - ✅ **Now has validation** to catch malformed parses
-
-## Next Steps (Phase 2)
-
-Phase 1 is complete and ready for deployment. Phase 2 will focus on:
-1. Token optimization (70-80% reduction)
-2. Quality improvements (better prompts, reasoning capture)
-3. Function tools for batch planning
-
----
-
-**Status:** ✅ **READY FOR DEPLOYMENT**
-**Test Coverage:** 88% on validators
-**All Tests:** Passing (9/9)

PHASE3_COMPLETE.md

@@ -1,412 +0,0 @@
-# Phase 3: UI/UX Observability - COMPLETE ✅
-
-## Summary
-
-Phase 3 implementation is complete! The frontend now displays validation warnings, auto-fixes, LLM reasoning chains, and token usage metrics from all LLM endpoints.
-
----
-
-## What Was Implemented
-
-### 1. Backend API Enrichment
-
-#### Response Models (`backend/innercontext/models/api_metadata.py`)
-- **`TokenMetrics`**: Captures prompt, completion, thinking, and total tokens
-- **`ResponseMetadata`**: Model name, duration, reasoning chain, token metrics
-- **`EnrichedResponse`**: Base class with validation warnings, auto-fixes, metadata
-
-#### LLM Wrapper Updates (`backend/innercontext/llm.py`)
-- Modified `call_gemini()` to return `(response, log_id)` tuple
-- Modified `call_gemini_with_function_tools()` to return `(response, log_id)` tuple
-- Added `_build_response_metadata()` helper to extract metadata from AICallLog
-
-#### API Endpoint Updates
-**`backend/innercontext/api/routines.py`:**
-- ✅ `/suggest` - Populates validation_warnings, auto_fixes_applied, metadata
-- ✅ `/suggest-batch` - Populates validation_warnings, auto_fixes_applied, metadata
-
-**`backend/innercontext/api/products.py`:**
-- ✅ `/suggest` - Populates validation_warnings, auto_fixes_applied, metadata
-- ✅ `/parse-text` - Updated to handle new return signature (no enrichment yet)
-
-**`backend/innercontext/api/skincare.py`:**
-- ✅ `/analyze-photos` - Updated to handle new return signature (no enrichment yet)
-
----
-
-### 2. Frontend Type Definitions
-
-#### Updated Types (`frontend/src/lib/types.ts`)
-```typescript
-interface TokenMetrics {
-  prompt_tokens: number;
-  completion_tokens: number;
-  thoughts_tokens?: number;
-  total_tokens: number;
-}
-
-interface ResponseMetadata {
-  model_used: string;
-  duration_ms: number;
-  reasoning_chain?: string;
-  token_metrics?: TokenMetrics;
-}
-
-interface RoutineSuggestion {
-  // Existing fields...
-  validation_warnings?: string[];
-  auto_fixes_applied?: string[];
-  metadata?: ResponseMetadata;
-}
-
-interface BatchSuggestion {
-  // Existing fields...
-  validation_warnings?: string[];
-  auto_fixes_applied?: string[];
-  metadata?: ResponseMetadata;
-}
-
-interface ShoppingSuggestionResponse {
-  // Existing fields...
-  validation_warnings?: string[];
-  auto_fixes_applied?: string[];
-  metadata?: ResponseMetadata;
-}
-```
-
----
-
-### 3. UI Components
-
-#### ValidationWarningsAlert.svelte
-- **Purpose**: Display validation warnings from backend
-- **Features**:
-  - Yellow/amber alert styling
-  - List format with warning icons
-  - Collapsible if >3 warnings
-  - "Show more" button
-- **Example**: "⚠️ No SPF found in AM routine while leaving home"
-
-#### StructuredErrorDisplay.svelte
-- **Purpose**: Parse and display HTTP 502 validation errors
-- **Features**:
-  - Splits semicolon-separated error strings
-  - Displays as bulleted list with icons
-  - Extracts prefix text if present
-  - Red alert styling
-- **Example**:
-  ```
-  ❌ Generated routine failed safety validation:
-    • Retinoid incompatible with acid in same routine
-    • Unknown product ID: abc12345
-  ```
-
-#### AutoFixBadge.svelte
-- **Purpose**: Show automatically applied fixes
-- **Features**:
-  - Green success alert styling
-  - List format with sparkle icon
-  - Communicates transparency
-- **Example**: "✨ Automatically adjusted wait times and removed conflicting products"
-
-#### ReasoningChainViewer.svelte
-- **Purpose**: Display LLM thinking process from MEDIUM thinking level
-- **Features**:
-  - Collapsible panel (collapsed by default)
-  - Brain icon with "AI Reasoning Process" label
-  - Monospace font for thinking content
-  - Gray background
-- **Note**: Currently returns null (Gemini doesn't expose thinking content via API), but infrastructure is ready for future use
-
-#### MetadataDebugPanel.svelte
-- **Purpose**: Show token metrics and model info for cost monitoring
-- **Features**:
-  - Collapsible panel (collapsed by default)
-  - Info icon with "Debug Information" label
-  - Displays:
-    - Model name (e.g., `gemini-3-flash-preview`)
-    - Duration in milliseconds
-    - Token breakdown: prompt, completion, thinking, total
-    - Formatted numbers with commas
-- **Example**:
-  ```
-  ℹ️ Debug Information (click to expand)
-  Model: gemini-3-flash-preview
-  Duration: 1,234 ms
-  Tokens: 1,300 prompt + 78 completion + 835 thinking = 2,213 total
-  ```
-
----
-
-### 4. CSS Styling
-
-#### Alert Variants (`frontend/src/app.css`)
-```css
-.editorial-alert--warning {
-  border-color: hsl(42 78% 68%);
-  background: hsl(45 86% 92%);
-  color: hsl(36 68% 28%);
-}
-
-.editorial-alert--info {
-  border-color: hsl(204 56% 70%);
-  background: hsl(207 72% 93%);
-  color: hsl(207 78% 28%);
-}
-```
-
----
-
-### 5. Integration
-
-#### Routines Suggest Page (`frontend/src/routes/routines/suggest/+page.svelte`)
-**Single Suggestion View:**
-- Replaced plain error div with `<StructuredErrorDisplay>`
-- Added after summary card, before steps:
-  - `<AutoFixBadge>` (if auto_fixes_applied)
-  - `<ValidationWarningsAlert>` (if validation_warnings)
-  - `<ReasoningChainViewer>` (if reasoning_chain)
-  - `<MetadataDebugPanel>` (if metadata)
-
-**Batch Suggestion View:**
-- Same components added after overall reasoning card
-- Applied to batch-level metadata (not per-day)
-
-#### Products Suggest Page (`frontend/src/routes/products/suggest/+page.svelte`)
-- Replaced plain error div with `<StructuredErrorDisplay>`
-- Added after reasoning card, before suggestion list:
-  - `<AutoFixBadge>`
-  - `<ValidationWarningsAlert>`
-  - `<ReasoningChainViewer>`
-  - `<MetadataDebugPanel>`
-- Updated `enhanceForm()` to extract observability fields
-
----
-
-## What Data is Captured
-
-### From Backend Validation (Phase 1)
-- ✅ `validation_warnings`: Non-critical issues (e.g., missing SPF in AM routine)
-- ✅ `auto_fixes_applied`: List of automatic corrections made
-- ✅ `validation_errors`: Critical issues (blocks response with HTTP 502)
-
-### From AICallLog (Phase 2)
-- ✅ `model_used`: Model name (e.g., `gemini-3-flash-preview`)
-- ✅ `duration_ms`: API call duration
-- ✅ `prompt_tokens`: Input tokens
-- ✅ `completion_tokens`: Output tokens
-- ✅ `thoughts_tokens`: Thinking tokens (from MEDIUM thinking level)
-- ✅ `total_tokens`: Sum of all token types
-- ❌ `reasoning_chain`: Thinking content (always null - Gemini doesn't expose via API)
-- ❌ `tool_use_prompt_tokens`: Tool overhead (always null - included in prompt_tokens)
-
----
-
-## User Experience Improvements
-
-### Before Phase 3
-❌ **Validation Errors:**
-```
-Generated routine failed safety validation: No SPF found in AM routine; Retinoid incompatible with acid
-```
-- Single long string, hard to read
-- No distinction between errors and warnings
-- No explanations
-
-❌ **No Transparency:**
-- User doesn't know if request was modified
-- No visibility into LLM decision-making
-- No cost/performance metrics
-
-### After Phase 3
-✅ **Structured Errors:**
-```
-❌ Safety validation failed:
-  • No SPF found in AM routine while leaving home
-  • Retinoid incompatible with acid in same routine
-```
-
-✅ **Validation Warnings (Non-blocking):**
-```
-⚠️ Validation Warnings:
-  • AM routine missing SPF while leaving home
-  • Consider adding wait time between steps
-  [Show 2 more]
-```
-
-✅ **Auto-Fix Transparency:**
-```
-✨ Automatically adjusted:
-  • Adjusted wait times between retinoid and moisturizer
-  • Removed conflicting acid step
-```
-
-✅ **Token Metrics (Collapsed):**
-```
-ℹ️ Debug Information (click to expand)
-Model: gemini-3-flash-preview
-Duration: 1,234 ms
-Tokens: 1,300 prompt + 78 completion + 835 thinking = 2,213 total
-```
-
----
-
-## Known Limitations
-
-### 1. Reasoning Chain Not Accessible
-- **Issue**: `reasoning_chain` field is always `null`
-- **Cause**: Gemini API doesn't expose thinking content from MEDIUM thinking level
-- **Evidence**: `thoughts_token_count` is captured (835-937 tokens), but content is internal to model
-- **Status**: UI component exists and is ready if Gemini adds API support
-
-### 2. Tool Use Tokens Not Separated
-- **Issue**: `tool_use_prompt_tokens` field is always `null`
-- **Cause**: Tool overhead is included in `prompt_tokens`, not reported separately
-- **Evidence**: ~3000 token overhead observed in production logs
-- **Status**: Not blocking - total token count is still accurate
-
-### 3. I18n Translations Not Added
-- **Issue**: No Polish translations for new UI text
-- **Status**: Deferred to Phase 4 (low priority)
-- **Impact**: Components use English hardcoded labels
-
----
-
-## Testing Plan
-
-### Manual Testing Checklist
-1. **Trigger validation warnings** (e.g., request AM routine without specifying leaving home)
-2. **Trigger validation errors** (e.g., request invalid product combinations)
-3. **Check token metrics** match `ai_call_logs` table entries
-4. **Verify reasoning chain** displays correctly (if Gemini adds support)
-5. **Test collapsible panels** (expand/collapse)
-6. **Responsive design** (mobile, tablet, desktop)
-
-### Test Scenarios
-
-#### Scenario 1: Successful Routine with Warning
-```
-Request: AM routine, leaving home = true, no notes
-Expected:
-  - ✅ Suggestion generated
-  - ⚠️ Warning: "Consider adding antioxidant serum before SPF"
-  - ℹ️ Metadata shows token usage
-```
-
-#### Scenario 2: Validation Error
-```
-Request: PM routine with incompatible products
-Expected:
-  - ❌ Structured error: "Retinoid incompatible with acid"
-  - No suggestion displayed
-```
-
-#### Scenario 3: Auto-Fix Applied
-```
-Request: Routine with conflicting wait times
-Expected:
-  - ✅ Suggestion generated
-  - ✨ Auto-fix: "Adjusted wait times between steps"
-```
-
----
-
-## Success Metrics
-
-### User Experience
-- ✅ Validation warnings visible (not just errors)
-- ✅ HTTP 502 errors show structured breakdown
-- ✅ Auto-fixes communicated transparently
-- ✅ Error messages easier to understand
-
-### Developer Experience
-- ✅ Token metrics visible for cost monitoring
-- ✅ Model info displayed for debugging
-- ✅ Duration tracking for performance analysis
-- ✅ Full token breakdown (prompt, completion, thinking)
-
-### Technical
-- ✅ 0 TypeScript errors (`svelte-check` passes)
-- ✅ All components follow design system
-- ✅ Backend passes `ruff` lint
-- ✅ Code formatted with `black`/`isort`
-
----
-
-## Next Steps
-
-### Immediate (Deployment)
-1. **Run database migrations** (if any pending)
-2. **Deploy backend** to Proxmox LXC
-3. **Deploy frontend** to production
-4. **Monitor first 10-20 API calls** for metadata population
-
-### Phase 4 (Optional Future Work)
-1. **i18n**: Add Polish translations for new UI components
-2. **Enhanced reasoning display**: If Gemini adds API support for thinking content
-3. **Cost dashboard**: Aggregate token metrics across all calls
-4. **User preferences**: Allow hiding debug panels permanently
-5. **Export functionality**: Download token metrics as CSV
-6. **Tooltips**: Add explanations for token types
-
----
-
-## File Changes
-
-### Backend Files Modified
-- `backend/innercontext/llm.py` - Return log_id tuple
-- `backend/innercontext/api/routines.py` - Populate observability fields
-- `backend/innercontext/api/products.py` - Populate observability fields
-- `backend/innercontext/api/skincare.py` - Handle new return signature
-
-### Backend Files Created
-- `backend/innercontext/models/api_metadata.py` - Response metadata models
-
-### Frontend Files Modified
-- `frontend/src/lib/types.ts` - Add observability types
-- `frontend/src/app.css` - Add warning/info alert variants
-- `frontend/src/routes/routines/suggest/+page.svelte` - Integrate components
-- `frontend/src/routes/products/suggest/+page.svelte` - Integrate components
-
-### Frontend Files Created
-- `frontend/src/lib/components/ValidationWarningsAlert.svelte`
-- `frontend/src/lib/components/StructuredErrorDisplay.svelte`
-- `frontend/src/lib/components/AutoFixBadge.svelte`
-- `frontend/src/lib/components/ReasoningChainViewer.svelte`
-- `frontend/src/lib/components/MetadataDebugPanel.svelte`
-
----
-
-## Commits
-
-1. **`3c3248c`** - `feat(api): add Phase 3 observability - expose validation warnings and metadata to frontend`
-   - Backend API enrichment
-   - Response models created
-   - LLM wrapper updated
-
-2. **`5d3f876`** - `feat(frontend): add Phase 3 UI components for observability`
-   - All 5 UI components created
-   - CSS alert variants added
-   - Integration into suggestion pages
-
----
-
-## Deployment Checklist
-
-- [ ] Pull latest code on production server
-- [ ] Run backend migrations: `cd backend && uv run alembic upgrade head`
-- [ ] Restart backend service: `sudo systemctl restart innercontext-backend`
-- [ ] Rebuild frontend: `cd frontend && pnpm build`
-- [ ] Restart frontend service (if applicable)
-- [ ] Test routine suggestion endpoint
-- [ ] Test products suggestion endpoint
-- [ ] Verify token metrics in MetadataDebugPanel
-- [ ] Check for any JavaScript console errors
-
----
-
-**Status: Phase 3 COMPLETE ✅**
-- Backend API enriched with observability data
-- Frontend UI components created and integrated
-- All tests passing, zero errors
-- Ready for production deployment

systemd/innercontext-node.service

@@ -6,11 +6,11 @@ After=network.target
 Type=simple
 User=innercontext
 Group=innercontext
-WorkingDirectory=/opt/innercontext/frontend
+WorkingDirectory=/opt/innercontext/current/frontend
 Environment=PORT=3000
 Environment=HOST=127.0.0.1
-EnvironmentFile=/opt/innercontext/frontend/.env.production
+EnvironmentFile=/opt/innercontext/current/frontend/.env.production
-ExecStart=/usr/local/bin/node /opt/innercontext/frontend/build/index.js
+ExecStart=/usr/local/bin/node /opt/innercontext/current/frontend/build/index.js
 Restart=on-failure
 RestartSec=5
 

systemd/innercontext-pricing-worker.service

@@ -6,9 +6,9 @@ After=network.target
 Type=simple
 User=innercontext
 Group=innercontext
-WorkingDirectory=/opt/innercontext/backend
+WorkingDirectory=/opt/innercontext/current/backend
-EnvironmentFile=/opt/innercontext/backend/.env
+EnvironmentFile=/opt/innercontext/current/backend/.env
-ExecStart=/opt/innercontext/backend/.venv/bin/python -m innercontext.workers.pricing
+ExecStart=/opt/innercontext/current/backend/.venv/bin/python -m innercontext.workers.pricing
 Restart=on-failure
 RestartSec=5
 

systemd/innercontext.service

@@ -6,10 +6,9 @@ After=network.target
 Type=simple
 User=innercontext
 Group=innercontext
-WorkingDirectory=/opt/innercontext/backend
+WorkingDirectory=/opt/innercontext/current/backend
-EnvironmentFile=/opt/innercontext/backend/.env
+EnvironmentFile=/opt/innercontext/current/backend/.env
-ExecStartPre=/opt/innercontext/backend/.venv/bin/alembic upgrade head
+ExecStart=/opt/innercontext/current/backend/.venv/bin/uvicorn main:app --host 127.0.0.1 --port 8000
-ExecStart=/opt/innercontext/backend/.venv/bin/uvicorn main:app --host 127.0.0.1 --port 8000
 Restart=on-failure
 RestartSec=5