Release: Nightly -> Main

.github/workflows/claude-issue-triage.yml

@@ -165,7 +165,7 @@ jobs:
 
             ### STAGE 3: Solution Proposal (CONDITIONAL)${{ steps.analyze.outputs.severity == 'high' && '\n\n**⚠️ REQUIRED** - Critical issue, must propose fix' || '\n\n**OPTIONAL** - Propose fix if solution is clear and straightforward' }}
 
-            ${{ steps.analyze.outputs.severity == 'high' && '**You MUST propose a fix for this critical issue:**' || '**Propose a fix only if:**\n- Root cause is clear\n- Fix is straightforward (< 50 lines changed)\n- You\'re confident it won\'t introduce regressions' }}
+            ${{ steps.analyze.outputs.severity == 'high' && '**You MUST propose a fix for this critical issue:**' || '**Propose a fix only if:**\n- Root cause is clear\n- Fix is straightforward (< 50 lines changed)\n- You''re confident it won''t introduce regressions' }}
 
             #### 3.1 Design the Fix
 
@@ -249,7 +249,7 @@ jobs:
 
             **Comment Structure** (adapt based on investigation depth):
 
-            ${{ steps.analyze.outputs.should_investigate == 'true' && '**For investigated issues:**\n\n```markdown\n## Investigation Results\n\nThanks for reporting this, @${{ github.event.issue.user.login }}! I\'ve performed a thorough analysis.\n\n### Classification\n- **Type:** [bug/feature/etc]\n- **Severity:** [P0-critical/P1-high/etc]\n- **Component:** [worker/ui/etc]\n\n### Root Cause Analysis\n[Detailed explanation of what\'s causing the issue]\n\n**Location:** `path/to/file.ts:123`\n\n**Introduced in:** PR #XXX (if found) or Commit ABC123\n\n### Proposed Solution\n[Explain the fix approach]\n\n### Status\n- ✅ PR #XXX created with proposed fix (if applicable)\n- ⏳ Requires manual review and testing\n- 📋 Added to backlog for team review (if no PR)\n\n### Next Steps\n[What happens next - PR review, team discussion, etc.]\n```' || '**For standard triage:**\n\n```markdown\nThanks for reporting this, @${{ github.event.issue.user.login }}!\n\n### Classification\n- **Labels:** [list applied labels]\n- **Priority:** [explanation of priority]\n\n[Context-specific response based on issue type]\n\n### Next Steps\nThe team will review this and provide updates.\n```' }}
+            ${{ steps.analyze.outputs.should_investigate == 'true' && '**For investigated issues:**\n\n```markdown\n## Investigation Results\n\nThanks for reporting this, @${{ github.event.issue.user.login }}! I''ve performed a thorough analysis.\n\n### Classification\n- **Type:** [bug/feature/etc]\n- **Severity:** [P0-critical/P1-high/etc]\n- **Component:** [worker/ui/etc]\n\n### Root Cause Analysis\n[Detailed explanation of what''s causing the issue]\n\n**Location:** `path/to/file.ts:123`\n\n**Introduced in:** PR #XXX (if found) or Commit ABC123\n\n### Proposed Solution\n[Explain the fix approach]\n\n### Status\n- ✅ PR #XXX created with proposed fix (if applicable)\n- ⏳ Requires manual review and testing\n- 📋 Added to backlog for team review (if no PR)\n\n### Next Steps\n[What happens next - PR review, team discussion, etc.]\n```' || '**For standard triage:**\n\n```markdown\nThanks for reporting this, @${{ github.event.issue.user.login }}!\n\n### Classification\n- **Labels:** [list applied labels]\n- **Priority:** [explanation of priority]\n\n[Context-specific response based on issue type]\n\n### Next Steps\nThe team will review this and provide updates.\n```' }}
 
             ---
 

.github/workflows/claude-reviews.yml

@@ -45,32 +45,6 @@ jobs:
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
 
-      - name: Minimize Old Review Comments
-        run: |
-          echo "Collapsing previous review comments from github-actions[bot]..."
-
-          # Get all comments from github-actions[bot] on this PR
-          OLD_REVIEWS=$(gh api repos/${{ github.repository }}/issues/${{ github.event.pull_request.number }}/comments \
-            --jq '[.[] | select(.user.login == "github-actions[bot]") | select(.body | contains("## Code Review") or contains("🔒 **CRITICAL PATH SECURITY REVIEW**") or contains("## 🔍 Code Quality & Security Review")) | .id]')
-
-          if [ -n "$OLD_REVIEWS" ] && [ "$OLD_REVIEWS" != "[]" ]; then
-            echo "Found old review comments to collapse"
-            echo "$OLD_REVIEWS" | jq -r '.[]' | while read comment_id; do
-              echo "Collapsing comment $comment_id"
-              gh api repos/${{ github.repository }}/issues/comments/$comment_id -X PATCH \
-                -f body="<details><summary>🔒 Previous review (outdated)</summary>
-
-          This review has been superseded by a newer review.
-          </details>" || echo "Failed to collapse comment $comment_id"
-            done
-            echo "✓ Old comments collapsed"
-          else
-            echo "No old review comments found"
-          fi
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        continue-on-error: true
-
       - name: Run Comprehensive Review
         uses: anthropics/claude-code-action@v1
         with:
@@ -137,16 +111,8 @@ jobs:
                [Overall assessment with approval/disapproval reasoning]
                ```
 
-            5. Post review (MANDATORY FINAL STEP - use single efficient command)
+            5. Post review (MANDATORY FINAL STEP)
                ```bash
-               # Post new review (collapse old ones first if any exist)
-               OLD_IDS=$(gh api repos/${{ github.repository }}/issues/${{ github.event.pull_request.number }}/comments --jq '[.[] | select(.user.login == "github-actions[bot]") | select(.body | startswith("## Code & Security Review")) | .id] | @csv' | tr -d '"')
-               if [ -n "$OLD_IDS" ]; then
-                 for id in ${OLD_IDS//,/ }; do
-                   gh api -X PATCH repos/${{ github.repository }}/issues/comments/$id -f body="<details><summary>Outdated</summary></details>" &
-                 done
-                 wait
-               fi
                gh pr comment ${{ github.event.pull_request.number }} --repo ${{ github.repository }} --body "YOUR_REVIEW_HERE"
                ```
 
@@ -180,3 +146,42 @@ jobs:
             --allowed-tools "mcp__github_inline_comment__create_inline_comment,Bash(gh issue view:*),Bash(gh issue list:*),Bash(gh search:*),Bash(gh pr comment:*),Bash(gh pr diff:*),Bash(gh pr view:*),Bash(gh pr edit:*),Bash(gh api:*)"
             --max-turns ${{ steps.critical_paths.outputs.is_critical == 'true' && '90' || '65' }}
             --model claude-sonnet-4-5-20250929
+
+      - name: Intelligent Comment Cleanup
+        uses: anthropics/claude-code-action@v1
+        if: always()
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          prompt: |
+            Clean up stale bot comments on PR #${{ github.event.pull_request.number }}.
+
+            **Task:**
+            1. Fetch all comments on this PR
+            2. Identify bot comments (users ending in [bot]) that are stale/outdated:
+               - Old reviews superseded by newer ones
+               - Old PR description suggestions
+               - Previously collapsed/outdated markers
+               - Progress/status comments from previous workflow runs
+            3. Keep only the most recent comment per category per bot
+            4. DELETE all stale comments (do not collapse)
+
+            **Get all comments:**
+            ```bash
+            gh api repos/${{ github.repository }}/issues/${{ github.event.pull_request.number }}/comments --jq '.[] | {id, user: .user.login, body, created_at}'
+            ```
+
+            **Delete a comment:**
+            ```bash
+            gh api repos/${{ github.repository }}/issues/comments/COMMENT_ID -X DELETE
+            ```
+
+            Be intelligent:
+            - Preserve the newest useful comment in each category
+            - Delete everything else that's redundant or stale
+            - If unsure, keep the comment (conservative approach)
+
+          claude_args: |
+            --allowed-tools "Bash(gh api repos/*/issues/*/comments:*),Bash(gh api repos/*/issues/comments/*:*)"
+            --max-turns 8
+            --model claude-haiku-4-5-20251001

.husky/commit-msg

@@ -1 +1,10 @@
-bunx commitlint --edit $1
+# Add common bun installation paths to PATH
+export PATH="/opt/homebrew/bin:$HOME/.bun/bin:$PATH"
+
+# Run commitlint if bunx is available
+if command -v bunx >/dev/null 2>&1; then
+  bunx commitlint --edit $1
+else
+  echo "⚠️  bunx not found in PATH, skipping commitlint"
+  exit 0
+fi

.husky/pre-commit

@@ -1 +1,10 @@
-bun test
+# Add common bun installation paths to PATH
+export PATH="/opt/homebrew/bin:$HOME/.bun/bin:$PATH"
+
+# Run tests with bun
+if command -v bun >/dev/null 2>&1; then
+  bun test
+else
+  echo "⚠️  bun not found in PATH, skipping tests"
+  exit 0
+fi

SandboxDockerfile

@@ -52,7 +52,6 @@ RUN chmod 755 /workspace/data
 # Set environment variable to indicate Docker container environment
 ENV CONTAINER_ENV=docker
 ENV VITE_LOGGER_TYPE=json 
-
 # # Set environment variable to indicate Docker container environment
 # ENV CONTAINER_ENV=docker
 

src/api-types.ts

@@ -115,7 +115,10 @@ export type {
 export type { 
   WebSocketMessage, 
   WebSocketMessageData,
-  CodeFixEdits 
+  CodeFixEdits,
+  ModelConfigsInfoMessage,
+  AgentDisplayConfig,
+  ModelConfigsInfo
 } from 'worker/api/websocketTypes';
 
 // Database/Schema Types commonly used in frontend

src/components/config-card.tsx

@@ -3,8 +3,7 @@ import { Button } from '@/components/ui/button';
 import { Badge } from '@/components/ui/badge';
 import { Card, CardContent, CardHeader } from '@/components/ui/card';
 import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from '@/components/ui/tooltip';
-import type { ModelConfig, UserModelConfigWithMetadata } from '@/api-types';
-import type { AgentDisplayConfig } from './model-config-tabs';
+import type { AgentDisplayConfig, ModelConfig, UserModelConfigWithMetadata } from '@/api-types';
 
 interface ConfigCardProps {
   agent: AgentDisplayConfig;

src/components/config-modal.tsx

@@ -29,9 +29,9 @@ import type {
   UserModelConfigWithMetadata, 
   ModelConfigUpdate, 
   AIModels,
-  ByokProvidersData
+  ByokProvidersData,
+  AgentDisplayConfig
 } from '@/api-types';
-import type { AgentDisplayConfig } from './model-config-tabs';
 
 interface ConfigModalProps {
   isOpen: boolean;
@@ -68,18 +68,18 @@ const getModelDisplayName = (model: AIModels | string): string => {
 // Model recommendations by agent
 const getModelRecommendation = (agentAction: string) => {
   const recommendations: Record<string, string> = {
-    templateSelection: '💡 Recommended: Fast models for quick template selection',
-    blueprint: '🏗️ Recommended: Creative models for architecture design',
-    projectSetup: '⚙️ Recommended: Reliable models for precise setup',
-    phaseGeneration: '📋 Recommended: Large context models for comprehensive planning',
-    firstPhaseImplementation: '🏁 Recommended: High-capability models for foundation development',
-    phaseImplementation: '⚡ Recommended: Strong coding models for implementation',
-    realtimeCodeFixer: '🚀 Recommended: Fast debugging models',
-    fastCodeFixer: '⚡ Recommended: Ultra-fast models for quick fixes',
-    conversationalResponse: '💬 Recommended: Balanced models for natural conversation',
-    codeReview: '🔍 Recommended: Analytical models with large context',
-    fileRegeneration: '📝 Recommended: Pure coding models',
-    screenshotAnalysis: '👁️ Recommended: Vision-capable models for image analysis'
+    templateSelection: 'Recommended: Fast models for quick template selection',
+    blueprint: 'Recommended: Creative models for architecture design',
+    projectSetup: 'Recommended: Reliable models for precise setup',
+    phaseGeneration: 'Recommended: Large context models for comprehensive planning',
+    firstPhaseImplementation: 'Recommended: High-capability models for foundation development',
+    phaseImplementation: 'Recommended: Strong coding models for implementation',
+    realtimeCodeFixer: 'Recommended: Fast debugging models',
+    fastCodeFixer: 'Recommended: Ultra-fast models for quick fixes',
+    conversationalResponse: 'Recommended: Balanced models for natural conversation',
+    codeReview: 'Recommended: Analytical models with large context',
+    fileRegeneration: 'Recommended: Pure coding models',
+    screenshotAnalysis: 'Recommended: Vision-capable models for image analysis'
   };
   return recommendations[agentAction] || '';
 };
@@ -98,7 +98,6 @@ export function ConfigModal({
   // Form state
   const [formData, setFormData] = useState({
     modelName: userConfig?.name || 'default',
-    maxTokens: userConfig?.max_tokens?.toString() || '',
     temperature: userConfig?.temperature?.toString() || '',
     reasoningEffort: userConfig?.reasoning_effort || 'default',
     fallbackModel: userConfig?.fallbackModel || 'default'
@@ -115,11 +114,12 @@ export function ConfigModal({
   const [byokData, setByokData] = useState<ByokProvidersData | null>(null);
   const [loadingByok, setLoadingByok] = useState(false);
 
-  // Load BYOK data
+  // Load BYOK data (filtered by agent constraints)
   const loadByokData = async () => {
     try {
       setLoadingByok(true);
-      const response = await apiClient.getByokProviders();
+      // Pass agent key to get constraint-filtered models
+      const response = await apiClient.getByokProviders(agentConfig.key);
       if (response.success && response.data) {
         setByokData(response.data);
       }
@@ -136,7 +136,6 @@ export function ConfigModal({
       // First time opening - reset everything and load data
       setFormData({
         modelName: userConfig?.name || 'default',
-        maxTokens: userConfig?.max_tokens?.toString() || '',
         temperature: userConfig?.temperature?.toString() || '',
         reasoningEffort: userConfig?.reasoning_effort || 'default',
         fallbackModel: userConfig?.fallbackModel || 'default'
@@ -162,7 +161,6 @@ export function ConfigModal({
   useEffect(() => {
     const originalFormData = {
       modelName: userConfig?.name || 'default',
-      maxTokens: userConfig?.max_tokens?.toString() || '',
       temperature: userConfig?.temperature?.toString() || '',
       reasoningEffort: userConfig?.reasoning_effort || 'default',
       fallbackModel: userConfig?.fallbackModel || 'default'
@@ -246,7 +244,6 @@ export function ConfigModal({
   const buildCurrentConfig = (): ModelConfigUpdate => {
     return {
       ...(formData.modelName !== 'default' && { modelName: formData.modelName }),
-      ...(formData.maxTokens && { maxTokens: parseInt(formData.maxTokens) }),
       ...(formData.temperature && { temperature: parseFloat(formData.temperature) }),
       ...(formData.reasoningEffort !== 'default' && { reasoningEffort: formData.reasoningEffort }),
       ...(formData.fallbackModel !== 'default' && { fallbackModel: formData.fallbackModel }),
@@ -289,19 +286,31 @@ export function ConfigModal({
             <Settings className="h-5 w-5" />
             Configure {agentConfig.name}
           </DialogTitle>
-          <DialogDescription className="space-y-2">
-            <p>{agentConfig.description}</p>
-            {getModelRecommendation(agentConfig.key) && (
-              <Alert>
-                <Info className="h-4 w-4" />
-                <AlertDescription className="text-sm">
-                  {getModelRecommendation(agentConfig.key)}
-                </AlertDescription>
-              </Alert>
-            )}
+          <DialogDescription>
+            {agentConfig.description}
           </DialogDescription>
         </DialogHeader>
 
+        {/* Alerts outside DialogDescription to avoid nested p/div issues */}
+        <div className="space-y-2 -mt-2">
+          {agentConfig.constraint?.enabled && (
+            <Alert>
+              <Info className="h-4 w-4" />
+              <AlertDescription className="text-sm">
+                Model selection limited to {agentConfig.constraint.allowedModels.length} allowed model{agentConfig.constraint.allowedModels.length !== 1 ? 's' : ''} for this operation.
+              </AlertDescription>
+            </Alert>
+          )}
+          {getModelRecommendation(agentConfig.key) && (
+            <Alert>
+              <Info className="h-4 w-4" />
+              <AlertDescription className="text-sm">
+                {getModelRecommendation(agentConfig.key)}
+              </AlertDescription>
+            </Alert>
+          )}
+        </div>
+
         <div className="space-y-6">
           {/* Current Status */}
           <div className="flex items-center justify-between p-3 bg-bg-3/50 rounded-lg">
@@ -428,7 +437,7 @@ export function ConfigModal({
           <div className="space-y-4">
             <h4 className="font-medium text-sm">Parameters</h4>
 
-            <div className="grid grid-cols-1 md:grid-cols-3 gap-4">
+            <div className="grid grid-cols-1 md:grid-cols-2 gap-4">
               {/* Temperature */}
               <div className="space-y-2">
                 <Label className="text-sm font-medium">Temperature</Label>
@@ -449,25 +458,6 @@ export function ConfigModal({
                 )}
               </div>
 
-              {/* Max Tokens */}
-              <div className="space-y-2">
-                <Label className="text-sm font-medium">Max Tokens</Label>
-                <Input
-                  type="number"
-                  min="1"
-                  max="200000"
-                  value={formData.maxTokens}
-                  placeholder={defaultConfig?.max_tokens ? `${defaultConfig.max_tokens}` : '4000'}
-                  onChange={(e) => setFormData({...formData, maxTokens: e.target.value})}
-                  className="h-10"
-                />
-                {defaultConfig?.max_tokens && (
-                  <p className="text-xs text-text-tertiary">
-                    🔧 Default: {defaultConfig.max_tokens?.toLocaleString()}
-                  </p>
-                )}
-              </div>
-
               {/* Reasoning Effort */}
               <div className="space-y-2">
                 <Label className="text-sm font-medium">Reasoning Effort</Label>