feat: add "blocked for human input" feature across full stack

Agents can now request structured human input when they encounter
genuine blockers (API keys, design choices, external configs). The
request is displayed in the UI with a dynamic form, and the human's
response is stored and made available when the agent resumes.

Changes span 21 files + 1 new component:
- Database: 3 new columns (needs_human_input, human_input_request,
  human_input_response) with migration
- MCP: new feature_request_human_input tool + guards on existing tools
- API: new resolve-human-input endpoint, 4th feature bucket
- Orchestrator: skip needs_human_input features in scheduling
- Progress: 4-tuple return from count_passing_tests
- WebSocket: needs_human_input count in progress messages
- UI: conditional 4th Kanban column, HumanInputForm component,
  amber status indicators, dependency graph support

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

progress.py

@@ -62,54 +62,71 @@ def has_features(project_dir: Path) -> bool:
         return False
 
 
-def count_passing_tests(project_dir: Path) -> tuple[int, int, int]:
+def count_passing_tests(project_dir: Path) -> tuple[int, int, int, int]:
     """
-    Count passing, in_progress, and total tests via direct database access.
+    Count passing, in_progress, total, and needs_human_input tests via direct database access.
 
     Args:
         project_dir: Directory containing the project
 
     Returns:
-        (passing_count, in_progress_count, total_count)
+        (passing_count, in_progress_count, total_count, needs_human_input_count)
     """
     from autoforge_paths import get_features_db_path
     db_file = get_features_db_path(project_dir)
     if not db_file.exists():
-        return 0, 0, 0
+        return 0, 0, 0, 0
 
     try:
         with closing(_get_connection(db_file)) as conn:
             cursor = conn.cursor()
-            # Single aggregate query instead of 3 separate COUNT queries
-            # Handle case where in_progress column doesn't exist yet (legacy DBs)
+            # Single aggregate query instead of separate COUNT queries
+            # Handle case where columns don't exist yet (legacy DBs)
             try:
                 cursor.execute("""
                     SELECT
                         COUNT(*) as total,
                         SUM(CASE WHEN passes = 1 THEN 1 ELSE 0 END) as passing,
-                        SUM(CASE WHEN in_progress = 1 THEN 1 ELSE 0 END) as in_progress
+                        SUM(CASE WHEN in_progress = 1 THEN 1 ELSE 0 END) as in_progress,
+                        SUM(CASE WHEN needs_human_input = 1 THEN 1 ELSE 0 END) as needs_human_input
                     FROM features
                 """)
                 row = cursor.fetchone()
                 total = row[0] or 0
                 passing = row[1] or 0
                 in_progress = row[2] or 0
+                needs_human_input = row[3] or 0
             except sqlite3.OperationalError:
-                # Fallback for databases without in_progress column
-                cursor.execute("""
-                    SELECT
-                        COUNT(*) as total,
-                        SUM(CASE WHEN passes = 1 THEN 1 ELSE 0 END) as passing
-                    FROM features
-                """)
-                row = cursor.fetchone()
-                total = row[0] or 0
-                passing = row[1] or 0
-                in_progress = 0
-            return passing, in_progress, total
+                # Fallback for databases without newer columns
+                try:
+                    cursor.execute("""
+                        SELECT
+                            COUNT(*) as total,
+                            SUM(CASE WHEN passes = 1 THEN 1 ELSE 0 END) as passing,
+                            SUM(CASE WHEN in_progress = 1 THEN 1 ELSE 0 END) as in_progress
+                        FROM features
+                    """)
+                    row = cursor.fetchone()
+                    total = row[0] or 0
+                    passing = row[1] or 0
+                    in_progress = row[2] or 0
+                    needs_human_input = 0
+                except sqlite3.OperationalError:
+                    cursor.execute("""
+                        SELECT
+                            COUNT(*) as total,
+                            SUM(CASE WHEN passes = 1 THEN 1 ELSE 0 END) as passing
+                        FROM features
+                    """)
+                    row = cursor.fetchone()
+                    total = row[0] or 0
+                    passing = row[1] or 0
+                    in_progress = 0
+                    needs_human_input = 0
+            return passing, in_progress, total, needs_human_input
     except Exception as e:
         print(f"[Database error in count_passing_tests: {e}]")
-        return 0, 0, 0
+        return 0, 0, 0, 0
 
 
 def get_all_passing_features(project_dir: Path) -> list[dict]:
@@ -234,7 +251,7 @@ def print_session_header(session_num: int, is_initializer: bool) -> None:
 
 def print_progress_summary(project_dir: Path) -> None:
     """Print a summary of current progress."""
-    passing, in_progress, total = count_passing_tests(project_dir)
+    passing, in_progress, total, _needs_human_input = count_passing_tests(project_dir)
 
     if total > 0:
         percentage = (passing / total) * 100