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/portfolio_manager.py

@@ -4,7 +4,8 @@ Portfolio Manager Agent - Based on AgentScope ReActAgent
 Responsible for decision-making (NOT trade execution)
 """
 
-from typing import Any, Dict, Optional
+from pathlib import Path
+from typing import Any, Dict, Optional, Callable
 
 from agentscope.agent import ReActAgent
 from agentscope.memory import InMemoryMemory, LongTermMemoryBase
@@ -13,6 +14,8 @@ from agentscope.tool import Toolkit, ToolResponse
 
 from ..utils.progress import progress
 from .prompt_factory import build_agent_system_prompt, clear_prompt_factory_cache
+from .team_pipeline_config import update_active_analysts
+from ..config.constants import ANALYST_TYPES
 
 
 class PMAgent(ReActAgent):
@@ -61,6 +64,8 @@ class PMAgent(ReActAgent):
             "_toolkit_factory_kwargs",
             toolkit_factory_kwargs,
         )
+        object.__setattr__(self, "_create_team_agent_cb", None)
+        object.__setattr__(self, "_remove_team_agent_cb", None)
 
         # Create toolkit after local state is ready so bound tool methods can be registered.
         if toolkit is None:
@@ -152,6 +157,107 @@ class PMAgent(ReActAgent):
             ],
         )
 
+    def _add_team_analyst(self, agent_id: str) -> ToolResponse:
+        """Add one analyst to active discussion team."""
+        config_name = self.config.get("config_name", "default")
+        project_root = Path(__file__).resolve().parents[2]
+        active = update_active_analysts(
+            project_root=project_root,
+            config_name=config_name,
+            available_analysts=list(ANALYST_TYPES.keys()),
+            add=[agent_id],
+        )
+        return ToolResponse(
+            content=[
+                TextBlock(
+                    type="text",
+                    text=(
+                        f"Active analyst team updated. Added: {agent_id}. "
+                        f"Current active analysts: {', '.join(active)}"
+                    ),
+                ),
+            ],
+        )
+
+    def _remove_team_analyst(self, agent_id: str) -> ToolResponse:
+        """Remove one analyst from active discussion team."""
+        callback_msg = ""
+        callback = self._remove_team_agent_cb
+        if callback is not None:
+            callback_msg = callback(agent_id=agent_id)
+
+        config_name = self.config.get("config_name", "default")
+        project_root = Path(__file__).resolve().parents[2]
+        active = update_active_analysts(
+            project_root=project_root,
+            config_name=config_name,
+            available_analysts=list(ANALYST_TYPES.keys()),
+            remove=[agent_id],
+        )
+        return ToolResponse(
+            content=[
+                TextBlock(
+                    type="text",
+                    text=(
+                        f"Active analyst team updated. Removed: {agent_id}. "
+                        f"Current active analysts: {', '.join(active)}"
+                        + (f" | {callback_msg}" if callback_msg else "")
+                    ),
+                ),
+            ],
+        )
+
+    def _set_active_analysts(self, agent_ids: str) -> ToolResponse:
+        """Set active analysts from comma-separated agent ids."""
+        requested = [
+            item.strip() for item in str(agent_ids or "").split(",") if item.strip()
+        ]
+        config_name = self.config.get("config_name", "default")
+        project_root = Path(__file__).resolve().parents[2]
+        active = update_active_analysts(
+            project_root=project_root,
+            config_name=config_name,
+            available_analysts=list(ANALYST_TYPES.keys()),
+            set_to=requested,
+        )
+        return ToolResponse(
+            content=[
+                TextBlock(
+                    type="text",
+                    text=f"Active analyst team set to: {', '.join(active)}",
+                ),
+            ],
+        )
+
+    def _create_team_analyst(self, agent_id: str, analyst_type: str) -> ToolResponse:
+        """Create a runtime analyst instance and activate it."""
+        callback = self._create_team_agent_cb
+        if callback is None:
+            return ToolResponse(
+                content=[
+                    TextBlock(
+                        type="text",
+                        text="Runtime agent creation is not available in current pipeline.",
+                    ),
+                ],
+            )
+        result = callback(agent_id=agent_id, analyst_type=analyst_type)
+        return ToolResponse(
+            content=[
+                TextBlock(type="text", text=result),
+            ],
+        )
+
+    def set_team_controller(
+        self,
+        *,
+        create_agent_callback: Optional[Callable[..., str]] = None,
+        remove_agent_callback: Optional[Callable[..., str]] = None,
+    ) -> None:
+        """Inject runtime team lifecycle callbacks from pipeline."""
+        object.__setattr__(self, "_create_team_agent_cb", create_agent_callback)
+        object.__setattr__(self, "_remove_team_agent_cb", remove_agent_callback)
+
     async def reply(self, x: Msg = None) -> Msg:
         """
         Make investment decisions