feat: Add evaluation hooks, skill adaptation and team pipeline config

- Add EvaluationHook for post-execution agent evaluation
- Add SkillAdaptationHook for dynamic skill adaptation
- Add team/ directory with team coordination logic
- Add TEAM_PIPELINE.yaml for smoke_fullstack pipeline config
- Update RuntimeView, TraderView and RuntimeSettingsPanel UI
- Add runtimeApi and websocket services
- Add runtime_state.json to smoke_fullstack state

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

backend/agents/base/evo_agent.py

@@ -27,6 +27,7 @@ from .hooks import (
     HookManager,
     BootstrapHook,
     MemoryCompactionHook,
+    WorkspaceWatchHook,
     HOOK_PRE_REASONING,
 )
 from ..prompts.builder import (
@@ -36,6 +37,16 @@ from ..prompts.builder import (
 from ..agent_workspace import load_agent_workspace_config
 from ..skills_manager import SkillsManager
 
+# Team infrastructure imports (graceful import - may not exist yet)
+try:
+    from backend.agents.team.messenger import AgentMessenger
+    from backend.agents.team.task_delegator import TaskDelegator
+    TEAM_INFRA_AVAILABLE = True
+except ImportError:
+    TEAM_INFRA_AVAILABLE = False
+    AgentMessenger = None
+    TaskDelegator = None
+
 if TYPE_CHECKING:
     from agentscope.formatter import FormatterBase
     from agentscope.model import ModelWrapperBase
@@ -152,6 +163,12 @@ class EvoAgent(ToolGuardMixin, ReActAgent):
             memory_compact_threshold=memory_compact_threshold,
         )
 
+        # Initialize team infrastructure if available
+        self._messenger: Optional["AgentMessenger"] = None
+        self._task_delegator: Optional["TaskDelegator"] = None
+        if TEAM_INFRA_AVAILABLE:
+            self._init_team_infrastructure()
+
         logger.info(
             "EvoAgent initialized: %s (workspace: %s)",
             agent_id,
@@ -268,6 +285,17 @@ class EvoAgent(ToolGuardMixin, ReActAgent):
             )
             logger.debug("Registered memory compaction hook")
 
+        # Workspace watch hook - auto-reload markdown files on change
+        workspace_watch_hook = WorkspaceWatchHook(
+            workspace_dir=self.workspace_dir,
+        )
+        self._hook_manager.register(
+            hook_type=HOOK_PRE_REASONING,
+            hook_name="workspace_watch",
+            hook=workspace_watch_hook,
+        )
+        logger.debug("Registered workspace watch hook")
+
     async def _reasoning(self, **kwargs) -> Msg:
         """Override reasoning to execute pre-reasoning hooks.
 
@@ -405,7 +433,78 @@ class EvoAgent(ToolGuardMixin, ReActAgent):
                 )
             ]),
             "registered_hooks": self._hook_manager.list_hooks(),
+            "team_infra_available": TEAM_INFRA_AVAILABLE,
         }
 
+    def _init_team_infrastructure(self) -> None:
+        """Initialize team infrastructure components (messenger and task delegator).
+
+        This method initializes the AgentMessenger for inter-agent communication
+        and the TaskDelegator for subagent delegation.
+        """
+        if not TEAM_INFRA_AVAILABLE:
+            return
+
+        try:
+            self._messenger = AgentMessenger(agent_id=self.agent_id)
+            self._task_delegator = TaskDelegator(agent=self)
+            logger.debug(
+                "Team infrastructure initialized for agent: %s",
+                self.agent_id,
+            )
+        except Exception as e:
+            logger.warning(
+                "Failed to initialize team infrastructure for %s: %s",
+                self.agent_id,
+                e,
+            )
+            self._messenger = None
+            self._task_delegator = None
+
+    @property
+    def messenger(self) -> Optional["AgentMessenger"]:
+        """Get the agent's messenger for inter-agent communication.
+
+        Returns:
+            AgentMessenger instance if available, None otherwise
+        """
+        return self._messenger
+
+    def delegate_task(
+        self,
+        task_type: str,
+        task_data: Dict[str, Any],
+        target_agent: Optional[str] = None,
+    ) -> Dict[str, Any]:
+        """Delegate a task to a subagent using the TaskDelegator.
+
+        Args:
+            task_type: Type of task to delegate
+            task_data: Data/payload for the task
+            target_agent: Optional specific agent ID to delegate to
+
+        Returns:
+            Dict containing the delegation result
+        """
+        if not TEAM_INFRA_AVAILABLE or self._task_delegator is None:
+            return {
+                "success": False,
+                "error": "Team infrastructure not available",
+            }
+
+        try:
+            return self._task_delegator.delegate_task(
+                task_type=task_type,
+                task_data=task_data,
+                target_agent=target_agent,
+            )
+        except Exception as e:
+            logger.error(
+                "Task delegation failed for %s: %s",
+                self.agent_id,
+                e,
+            )
+            return {"success": False, "error": str(e)}
+
 
 __all__ = ["EvoAgent"]