merge upstream main into analyst-phase1-observability

tradingagents/graph/trading_graph.py

@@ -99,7 +99,7 @@ class TradingAgentsGraph:
         self.bear_memory = FinancialSituationMemory("bear_memory", self.config)
         self.trader_memory = FinancialSituationMemory("trader_memory", self.config)
         self.invest_judge_memory = FinancialSituationMemory("invest_judge_memory", self.config)
-        self.risk_manager_memory = FinancialSituationMemory("risk_manager_memory", self.config)
+        self.portfolio_manager_memory = FinancialSituationMemory("portfolio_manager_memory", self.config)
 
         # Create tool nodes
         self.tool_nodes = self._create_tool_nodes()
@@ -117,7 +117,7 @@ class TradingAgentsGraph:
             self.bear_memory,
             self.trader_memory,
             self.invest_judge_memory,
-            self.risk_manager_memory,
+            self.portfolio_manager_memory,
             self.conditional_logic,
             analyst_concurrency_limit=self.config.get("analyst_concurrency_limit", 1),
         )
@@ -149,6 +149,11 @@ class TradingAgentsGraph:
             if reasoning_effort:
                 kwargs["reasoning_effort"] = reasoning_effort
 
+        elif provider == "anthropic":
+            effort = self.config.get("anthropic_effort")
+            if effort:
+                kwargs["effort"] = effort
+
         return kwargs
 
     def _create_tool_nodes(self) -> Dict[str, ToolNode]:
@@ -279,8 +284,8 @@ class TradingAgentsGraph:
         self.reflector.reflect_invest_judge(
             self.curr_state, returns_losses, self.invest_judge_memory
         )
-        self.reflector.reflect_risk_manager(
-            self.curr_state, returns_losses, self.risk_manager_memory
+        self.reflector.reflect_portfolio_manager(
+            self.curr_state, returns_losses, self.portfolio_manager_memory
         )
 
     def process_signal(self, full_signal):