Align branding, prompts, and deployment tooling

backend/core/pipeline.py

@@ -18,7 +18,6 @@ from agentscope.message import Msg
 from agentscope.pipeline import MsgHub
 
 from backend.utils.settlement import SettlementCoordinator
-from backend.utils.terminal_dashboard import get_dashboard
 from backend.core.state_sync import StateSync
 from backend.utils.trade_executor import PortfolioTradeExecutor
 from backend.runtime.manager import TradingRuntimeManager
@@ -48,13 +47,9 @@ except ImportError:
 logger = logging.getLogger(__name__)
 
 
-def _log(msg: str):
-    """Log to dashboard if available, otherwise to logger"""
-    dashboard = get_dashboard()
-    if dashboard.live:
-        dashboard.log(msg)
-    else:
-        logger.info(msg)
+def _log(msg: str) -> None:
+    """Helper function for pipeline logging."""
+    logger.info(msg)
 
 
 class TradingPipeline:
@@ -71,7 +66,7 @@ class TradingPipeline:
 
     Real-time updates via StateSync after each agent completes.
 
-    Supports both legacy agent lists and new workspace-based agent loading.
+    Supports both legacy agent lists and run-scoped agent loading.
     """
 
     def __init__(
@@ -1625,14 +1620,13 @@ class TradingPipeline:
         project_root = Path(__file__).resolve().parents[2]
         personas = get_prompt_loader().load_yaml_config("analyst", "personas")
         persona = personas.get(analyst_type, {})
-        WorkspaceManager(project_root=project_root).ensure_agent_assets(
+        workspace_manager = WorkspaceManager(project_root=project_root)
+        workspace_manager.ensure_agent_assets(
             config_name=config_name,
             agent_id=agent_id,
-            role_seed=persona.get("description", "").strip(),
-            style_seed="\n".join(f"- {item}" for item in persona.get("focus", [])),
-            policy_seed=(
-                "State a clear signal, confidence, and the conditions "
-                "that would invalidate the thesis."
+            file_contents=workspace_manager.build_default_agent_files(
+                agent_id=agent_id,
+                persona=persona,
             ),
         )
 

backend/core/pipeline_runner.py

@@ -232,7 +232,7 @@ async def run_pipeline(
 
     try:
         # Extract config values
-        tickers = bootstrap.get("tickers", ["AAPL", "MSFT"])
+        tickers = bootstrap.get("tickers", ["AAPL", "MSFT", "GOOGL", "AMZN", "NVDA", "META", "TSLA", "AMD", "NFLX", "AVGO", "PLTR", "COIN"])
         initial_cash = float(bootstrap.get("initial_cash", 100000.0))
         margin_requirement = float(bootstrap.get("margin_requirement", 0.0))
         max_comm_cycles = int(bootstrap.get("max_comm_cycles", 2))