fix: address code review feedback from Gemini

Move RateLimitError to break block, use specific exceptions, remove duplicate entry

cli/model_fetcher.py

@@ -72,7 +72,7 @@ def fetch_openai_models() -> Optional[List[Tuple[str, str]]]:
 
         _model_cache["openai"] = result
         return result
-    except Exception:
+    except (httpx.RequestError, httpx.HTTPStatusError, ValueError, KeyError):
         return None
 
 
@@ -129,7 +129,7 @@ def fetch_anthropic_models() -> Optional[List[Tuple[str, str]]]:
 
         _model_cache["anthropic"] = result
         return result
-    except Exception:
+    except (httpx.RequestError, httpx.HTTPStatusError, ValueError, KeyError):
         return None
 
 
@@ -187,7 +187,7 @@ def fetch_google_models() -> Optional[List[Tuple[str, str]]]:
 
         _model_cache["google"] = result
         return result
-    except Exception:
+    except (httpx.RequestError, httpx.HTTPStatusError, ValueError, KeyError):
         return None
 
 

cli/utils.py

@@ -235,7 +235,6 @@ def select_deep_thinking_agent(provider) -> str:
         "openrouter": [
             ("Xiaomi MiMo V2 Flash - Fast and efficient multimodal model", "xiaomi/mimo-v2-flash:free"),
             ("DeepSeek V3 - a 685B-parameter, mixture-of-experts model", "deepseek/deepseek-chat-v3-0324:free"),
-            ("Deepseek - latest iteration of the flagship chat model family from the DeepSeek team.", "deepseek/deepseek-chat-v3-0324:free"),
         ],
         "ollama": [
             ("llama3.2:3b local", "llama3.2:3b"),

tradingagents/dataflows/interface.py

@@ -219,14 +219,14 @@ def route_to_vendor(method: str, *args, **kwargs):
                     last_error = None
                     break  # Success, exit retry loop
 
-                except AlphaVantageRateLimitError as e:
-                    print(f"RATE_LIMIT: Alpha Vantage rate limit exceeded")
+                except (AlphaVantageRateLimitError, RateLimitError) as e:
+                    print(f"RATE_LIMIT: {type(e).__name__} exceeded, falling back to next vendor.")
                     print(f"DEBUG: Rate limit details: {e}")
                     last_error = e
                     break  # Don't retry rate limits, move to next vendor
 
                 except (ConnectionError, TimeoutError, OSError,
-                        APIConnectionError, APITimeoutError, RateLimitError) as e:
+                        APIConnectionError, APITimeoutError) as e:
                     # Transient errors - retry with backoff
                     last_error = e
                     if retry_attempt < max_retries - 1:

tradingagents/llm/openai_responses.py

@@ -7,6 +7,7 @@ This is required for newer models like gpt-5.1-codex-mini that only support
 the Responses API.
 """
 
+import json
 import os
 import uuid
 from typing import Any, Dict, Iterator, List, Optional, Sequence, Union
@@ -117,9 +118,8 @@ class ChatOpenAIResponses(BaseChatModel):
                 # Get the JSON schema for parameters
                 if tool.args_schema:
                     params = tool.args_schema.model_json_schema()
-                    # Remove extra fields that OpenAI doesn't expect
+                    # Remove title field that OpenAI doesn't expect at schema level
                     params.pop("title", None)
-                    params.pop("description", None)
                 else:
                     params = {"type": "object", "properties": {}}
 
@@ -162,7 +162,6 @@ class ChatOpenAIResponses(BaseChatModel):
         - Tool calls from assistant are represented as separate 'function_call' items
         - Tool results use 'function_call_output' content type
         """
-        import json as json_module
         converted = []
         for msg in messages:
             if isinstance(msg, SystemMessage):
@@ -193,7 +192,7 @@ class ChatOpenAIResponses(BaseChatModel):
                         # Convert args to JSON string for the API
                         args = tc.get("args", {})
                         if isinstance(args, dict):
-                            args_str = json_module.dumps(args)
+                            args_str = json.dumps(args)
                         else:
                             args_str = str(args)
 
@@ -237,7 +236,6 @@ class ChatOpenAIResponses(BaseChatModel):
 
             # Handle function/tool calls
             if hasattr(item, 'type') and item.type == 'function_call':
-                import json
                 args = item.arguments
                 if isinstance(args, str):
                     try: