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>

server/schemas.py

@@ -120,16 +120,41 @@ class FeatureResponse(FeatureBase):
     in_progress: bool
     blocked: bool = False  # Computed: has unmet dependencies
     blocking_dependencies: list[int] = Field(default_factory=list)  # Computed
+    needs_human_input: bool = False
+    human_input_request: dict | None = None
+    human_input_response: dict | None = None
 
     class Config:
         from_attributes = True
 
 
+class HumanInputField(BaseModel):
+    """Schema for a single human input field."""
+    id: str
+    label: str
+    type: Literal["text", "textarea", "select", "boolean"] = "text"
+    required: bool = True
+    placeholder: str | None = None
+    options: list[dict] | None = None  # For select: [{value, label}]
+
+
+class HumanInputRequest(BaseModel):
+    """Schema for an agent's human input request."""
+    prompt: str
+    fields: list[HumanInputField]
+
+
+class HumanInputResponse(BaseModel):
+    """Schema for a human's response to an input request."""
+    fields: dict[str, str | bool | list[str]]
+
+
 class FeatureListResponse(BaseModel):
     """Response containing list of features organized by status."""
     pending: list[FeatureResponse]
     in_progress: list[FeatureResponse]
     done: list[FeatureResponse]
+    needs_human_input: list[FeatureResponse] = Field(default_factory=list)
 
 
 class FeatureBulkCreate(BaseModel):
@@ -153,7 +178,7 @@ class DependencyGraphNode(BaseModel):
     id: int
     name: str
     category: str
-    status: Literal["pending", "in_progress", "done", "blocked"]
+    status: Literal["pending", "in_progress", "done", "blocked", "needs_human_input"]
     priority: int
     dependencies: list[int]
 
@@ -257,6 +282,7 @@ class WSProgressMessage(BaseModel):
     in_progress: int
     total: int
     percentage: float
+    needs_human_input: int = 0
 
 
 class WSFeatureUpdateMessage(BaseModel):