feat: make tool naming llm provider agnostic

cli/main.py

@@ -465,10 +465,10 @@ def get_user_selections():
     )
     selected_research_depth = select_research_depth()
 
-    # Step 5: OpenAI backend
+    # Step 5: LLM Provider
     console.print(
         create_question_box(
-            "Step 5: OpenAI backend", "Select which service to talk to"
+            "Step 5: LLM Provider", "Select which service to talk to"
         )
     )
     selected_llm_provider, backend_url = select_llm_provider()

tradingagents/agents/analysts/fundamentals_analyst.py

@@ -10,7 +10,7 @@ def create_fundamentals_analyst(llm, toolkit):
         company_name = state["company_of_interest"]
 
         if toolkit.config["online_tools"]:
-            tools = [toolkit.get_fundamentals_openai]
+            tools = [toolkit.get_fundamentals_from_llm]
         else:
             tools = [
                 toolkit.get_finnhub_company_insider_sentiment,

tradingagents/agents/analysts/news_analyst.py

@@ -9,7 +9,7 @@ def create_news_analyst(llm, toolkit):
         ticker = state["company_of_interest"]
 
         if toolkit.config["online_tools"]:
-            tools = [toolkit.get_global_news_openai, toolkit.get_google_news]
+            tools = [toolkit.get_global_news_from_llm, toolkit.get_google_news]
         else:
             tools = [
                 toolkit.get_finnhub_news,

tradingagents/agents/analysts/social_media_analyst.py

@@ -10,7 +10,7 @@ def create_social_media_analyst(llm, toolkit):
         company_name = state["company_of_interest"]
 
         if toolkit.config["online_tools"]:
-            tools = [toolkit.get_stock_news_openai]
+            tools = [toolkit.get_stock_news_from_llm]
         else:
             tools = [
                 toolkit.get_reddit_stock_info,

tradingagents/agents/utils/agent_utils.py

@@ -363,7 +363,7 @@ class Toolkit:
 
     @staticmethod
     @tool
-    def get_stock_news_openai(
+    def get_stock_news_from_llm(
         ticker: Annotated[str, "the company's ticker"],
         curr_date: Annotated[str, "Current date in yyyy-mm-dd format"],
     ):
@@ -377,7 +377,7 @@ class Toolkit:
         """
 
         try:
-            openai_news_results = interface.get_stock_news_openai(ticker, curr_date)
+            openai_news_results = interface.get_stock_news_from_llm(ticker, curr_date)
             return openai_news_results
         except ValueError as e:
             # Return the detailed error message to the agent
@@ -385,7 +385,7 @@ class Toolkit:
 
     @staticmethod
     @tool
-    def get_global_news_openai(
+    def get_global_news_from_llm(
         curr_date: Annotated[str, "Current date in yyyy-mm-dd format"],
     ):
         """
@@ -397,7 +397,7 @@ class Toolkit:
         """
 
         try:
-            openai_news_results = interface.get_global_news_openai(curr_date)
+            openai_news_results = interface.get_global_news_from_llm(curr_date)
             return openai_news_results
         except ValueError as e:
             # Return the detailed error message to the agent
@@ -405,7 +405,7 @@ class Toolkit:
 
     @staticmethod
     @tool
-    def get_fundamentals_openai(
+    def get_fundamentals_from_llm(
         ticker: Annotated[str, "the company's ticker"],
         curr_date: Annotated[str, "Current date in yyyy-mm-dd format"],
     ):
@@ -419,7 +419,7 @@ class Toolkit:
         """
 
         try:
-            openai_fundamentals_results = interface.get_fundamentals_openai(
+            openai_fundamentals_results = interface.get_fundamentals_from_llm(
                 ticker, curr_date
             )
             return openai_fundamentals_results

tradingagents/agents/utils/memory.py

@@ -14,7 +14,7 @@ class FinancialSituationMemory:
                 # Use a good general-purpose model for financial text
                 self.embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
                 self.embedding_type = "local"
-                print(f"✅ Using local embeddings with sentence-transformers")
+                print(f"✅ Using local embeddings with sentence-transformers for {name}")
             except ImportError:
                 print("⚠️  sentence-transformers not found. Install with: pip install sentence-transformers")
                 print("Falling back to ChromaDB's default embeddings...")

tradingagents/dataflows/interface.py

@@ -932,19 +932,19 @@ def _call_llm_api(prompt, config):
                 raise ValueError(error_msg) from e
 
 
-def get_stock_news_openai(ticker, curr_date):
+def get_stock_news_from_llm(ticker, curr_date):
     config = get_config()
     prompt = f"Can you search Social Media for {ticker} from 7 days before {curr_date} to {curr_date}? Make sure you only get the data posted during that period."
     return _call_llm_api(prompt, config)
 
 
-def get_global_news_openai(curr_date):
+def get_global_news_from_llm(curr_date):
     config = get_config()
     prompt = f"Can you search global or macroeconomics news from 7 days before {curr_date} to {curr_date} that would be informative for trading purposes? Make sure you only get the data posted during that period."
     return _call_llm_api(prompt, config)
 
 
-def get_fundamentals_openai(ticker, curr_date):
+def get_fundamentals_from_llm(ticker, curr_date):
     config = get_config()
     prompt = f"Can you search for fundamental analysis discussions on {ticker} during the month before {curr_date} to the month of {curr_date}. Make sure you only get the data posted during that period. List as a table, with PE/PS/Cash flow/ etc"
     return _call_llm_api(prompt, config)

tradingagents/graph/trading_graph.py

@@ -153,7 +153,7 @@ class TradingAgentsGraph:
             "social": ToolNode(
                 [
                     # online tools
-                    self.toolkit.get_stock_news_openai,
+                    self.toolkit.get_stock_news_from_llm,
                     # offline tools
                     self.toolkit.get_reddit_stock_info,
                 ]
@@ -161,7 +161,7 @@ class TradingAgentsGraph:
             "news": ToolNode(
                 [
                     # online tools
-                    self.toolkit.get_global_news_openai,
+                    self.toolkit.get_global_news_from_llm,
                     self.toolkit.get_google_news,
                     # offline tools
                     self.toolkit.get_finnhub_news,
@@ -171,7 +171,7 @@ class TradingAgentsGraph:
             "fundamentals": ToolNode(
                 [
                     # online tools
-                    self.toolkit.get_fundamentals_openai,
+                    self.toolkit.get_fundamentals_from_llm,
                     # offline tools
                     self.toolkit.get_finnhub_company_insider_sentiment,
                     self.toolkit.get_finnhub_company_insider_transactions,