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feat: add per-agent logging UI and fix stuck agent issues

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Changes:
- Add per-agent log viewer with copy-to-clipboard functionality
  - New AgentLogEntry type for structured log entries
  - Logs stored per-agent in WebSocket state (up to 500 entries)
  - Log modal rendered via React Portal to avoid overflow issues
  - Click log icon on agent card to view full activity history

- Fix agents getting stuck in "failed" state
  - Wrap client context manager in try/except (agent.py)
  - Remove failed agents from UI on error state (useWebSocket.ts)
  - Handle permanently failed features in get_all_complete()

- Add friendlier agent state labels
  - "Hit an issue" → "Trying plan B..."
  - "Retrying..." → "Being persistent..."
  - Softer colors (yellow/orange instead of red)

- Add scheduling scores for smarter feature ordering
  - compute_scheduling_scores() in dependency_resolver.py
  - Features that unblock others get higher priority

- Update CLAUDE.md with parallel mode documentation

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Auto
2026-01-17 14:11:24 +02:00
parent 85f6940a54
commit bf3a6b0b73
10 changed files with 387 additions and 49 deletions
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45
CLAUDE.md
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@@ -45,6 +45,9 @@ python autonomous_agent_demo.py --project-dir my-app # if registered
# YOLO mode: rapid prototyping without browser testing
python autonomous_agent_demo.py --project-dir my-app --yolo
# Parallel mode: run multiple agents concurrently (1-5 agents)
python autonomous_agent_demo.py --project-dir my-app --parallel --max-concurrency 3
```
### YOLO Mode (Rapid Prototyping)
@@ -95,6 +98,8 @@ npm run lint # Run ESLint
- `prompts.py` - Prompt template loading with project-specific fallback
- `progress.py` - Progress tracking, database queries, webhook notifications
- `registry.py` - Project registry for mapping names to paths (cross-platform)
- `parallel_orchestrator.py` - Concurrent agent execution with dependency-aware scheduling
- `api/dependency_resolver.py` - Cycle detection (Kahn's algorithm + DFS) and dependency validation
### Project Registry
@@ -121,26 +126,40 @@ The FastAPI server provides REST endpoints for the UI:
Features are stored in SQLite (`features.db`) via SQLAlchemy. The agent interacts with features through an MCP server:
- `mcp_server/feature_mcp.py` - MCP server exposing feature management tools
- `api/database.py` - SQLAlchemy models (Feature table with priority, category, name, description, steps, passes)
- `api/database.py` - SQLAlchemy models (Feature table with priority, category, name, description, steps, passes, dependencies)
MCP tools available to the agent:
- `feature_get_stats` - Progress statistics
- `feature_get_next` - Get highest-priority pending feature
- `feature_get_next` - Get highest-priority pending feature (respects dependencies)
- `feature_claim_next` - Atomically claim next available feature (for parallel mode)
- `feature_get_for_regression` - Random passing features for regression testing
- `feature_mark_passing` - Mark feature complete
- `feature_skip` - Move feature to end of queue
- `feature_create_bulk` - Initialize all features (used by initializer)
- `feature_add_dependency` - Add dependency between features (with cycle detection)
- `feature_remove_dependency` - Remove a dependency
### React UI (ui/)
- Tech stack: React 18, TypeScript, TanStack Query, Tailwind CSS v4, Radix UI
- Tech stack: React 18, TypeScript, TanStack Query, Tailwind CSS v4, Radix UI, dagre (graph layout)
- `src/App.tsx` - Main app with project selection, kanban board, agent controls
- `src/hooks/useWebSocket.ts` - Real-time updates via WebSocket
- `src/hooks/useWebSocket.ts` - Real-time updates via WebSocket (progress, agent status, logs, agent updates)
- `src/hooks/useProjects.ts` - React Query hooks for API calls
- `src/lib/api.ts` - REST API client
- `src/lib/types.ts` - TypeScript type definitions
- `src/components/FolderBrowser.tsx` - Server-side filesystem browser for project folder selection
- `src/components/NewProjectModal.tsx` - Multi-step project creation wizard
Key components:
- `AgentMissionControl.tsx` - Dashboard showing active agents with mascots (Spark, Fizz, Octo, Hoot, Buzz)
- `DependencyGraph.tsx` - Interactive node graph visualization with dagre layout
- `CelebrationOverlay.tsx` - Confetti animation on feature completion
- `FolderBrowser.tsx` - Server-side filesystem browser for project folder selection
Keyboard shortcuts (press `?` for help):
- `D` - Toggle debug panel
- `G` - Toggle Kanban/Graph view
- `N` - Add new feature
- `A` - Toggle AI assistant
- `,` - Open settings
### Project Structure for Generated Apps
@@ -181,10 +200,20 @@ Defense-in-depth approach configured in `client.py`:
### Real-time UI Updates
The UI receives updates via WebSocket (`/ws/projects/{project_name}`):
- `progress` - Test pass counts
- `progress` - Test pass counts (passing, in_progress, total)
- `agent_status` - Running/paused/stopped/crashed
- `log` - Agent output lines (streamed from subprocess stdout)
- `log` - Agent output lines with optional featureId/agentIndex for attribution
- `feature_update` - Feature status changes
- `agent_update` - Multi-agent state updates (thinking/working/testing/success/error) with mascot names
### Parallel Mode
When running with `--parallel`, the orchestrator:
1. Spawns multiple Claude agents as subprocesses (up to `--max-concurrency`)
2. Each agent claims features atomically via `feature_claim_next`
3. Features blocked by unmet dependencies are skipped
4. Browser contexts are isolated per agent using `--isolated` flag
5. AgentTracker parses output and emits `agent_update` messages for UI
### Design System