fix: remove stale ChatOpenAI imports, fix hardcoded results path, add missing pandas import

- Remove unused `from langchain_openai import ChatOpenAI` imports from
  graph/setup.py, graph/reflection.py, graph/signal_processing.py, and
  agents/utils/agent_states.py. The framework supports multiple LLM
  providers so these type hints were incorrect and misleading.

- Clean up agents/utils/agent_states.py: remove unused imports of
  Sequence, date, timedelta, datetime, ChatOpenAI, agents star-import,
  ToolNode, END, StateGraph, START (only Annotated, TypedDict, and
  MessagesState are actually used).

- Fix graph/trading_graph.py _log_state(): replace hardcoded
  "eval_results/" relative path with config["results_dir"] so logs land
  in the same configured directory as other run outputs, regardless of
  the working directory the user runs from.

- Fix dataflows/y_finance.py _get_stock_stats_bulk(): add missing
  `import pandas as pd` which caused a NameError on pd.isna() during
  bulk indicator calculation, silently falling back to the slower
  per-day loop.

Made-with: Cursor

tradingagents/agents/utils/agent_states.py

@@ -1,10 +1,6 @@
-from typing import Annotated, Sequence
-from datetime import date, timedelta, datetime
-from typing_extensions import TypedDict, Optional
-from langchain_openai import ChatOpenAI
-from tradingagents.agents import *
-from langgraph.prebuilt import ToolNode
-from langgraph.graph import END, StateGraph, START, MessagesState
+from typing import Annotated
+from typing_extensions import TypedDict
+from langgraph.graph import MessagesState
 
 
 # Researcher team state

tradingagents/dataflows/y_finance.py

@@ -1,6 +1,7 @@
 from typing import Annotated
 from datetime import datetime
 from dateutil.relativedelta import relativedelta
+import pandas as pd
 import yfinance as yf
 import os
 from .stockstats_utils import StockstatsUtils, _clean_dataframe, yf_retry, load_ohlcv, filter_financials_by_date

tradingagents/graph/reflection.py

@@ -1,13 +1,12 @@
 # TradingAgents/graph/reflection.py
 
-from typing import Dict, Any
-from langchain_openai import ChatOpenAI
+from typing import Any, Dict
 
 
 class Reflector:
     """Handles reflection on decisions and updating memory."""
 
-    def __init__(self, quick_thinking_llm: ChatOpenAI):
+    def __init__(self, quick_thinking_llm: Any):
         """Initialize the reflector with an LLM."""
         self.quick_thinking_llm = quick_thinking_llm
         self.reflection_system_prompt = self._get_reflection_prompt()

tradingagents/graph/setup.py

@@ -1,8 +1,7 @@
 # TradingAgents/graph/setup.py
 
-from typing import Dict, Any
-from langchain_openai import ChatOpenAI
-from langgraph.graph import END, StateGraph, START
+from typing import Any, Dict
+from langgraph.graph import END, START, StateGraph
 from langgraph.prebuilt import ToolNode
 
 from tradingagents.agents import *
@@ -16,8 +15,8 @@ class GraphSetup:
 
     def __init__(
         self,
-        quick_thinking_llm: ChatOpenAI,
-        deep_thinking_llm: ChatOpenAI,
+        quick_thinking_llm: Any,
+        deep_thinking_llm: Any,
         tool_nodes: Dict[str, ToolNode],
         bull_memory,
         bear_memory,

tradingagents/graph/signal_processing.py

@@ -1,12 +1,12 @@
 # TradingAgents/graph/signal_processing.py
 
-from langchain_openai import ChatOpenAI
+from typing import Any
 
 
 class SignalProcessor:
     """Processes trading signals to extract actionable decisions."""
 
-    def __init__(self, quick_thinking_llm: ChatOpenAI):
+    def __init__(self, quick_thinking_llm: Any):
         """Initialize with an LLM for processing."""
         self.quick_thinking_llm = quick_thinking_llm
 

tradingagents/graph/trading_graph.py

@@ -258,15 +258,12 @@ class TradingAgentsGraph:
             "final_trade_decision": final_state["final_trade_decision"],
         }
 
-        # Save to file
-        directory = Path(f"eval_results/{self.ticker}/TradingAgentsStrategy_logs/")
+        # Save to file — use configured results_dir so logs land alongside other outputs
+        directory = Path(self.config["results_dir"]) / self.ticker / "TradingAgentsStrategy_logs"
         directory.mkdir(parents=True, exist_ok=True)
 
-        with open(
-            f"eval_results/{self.ticker}/TradingAgentsStrategy_logs/full_states_log_{trade_date}.json",
-            "w",
-            encoding="utf-8",
-        ) as f:
+        log_path = directory / f"full_states_log_{trade_date}.json"
+        with open(log_path, "w", encoding="utf-8") as f:
             json.dump(self.log_states_dict, f, indent=4)
 
     def reflect_and_remember(self, returns_losses):