update

app.py

@@ -14,7 +14,7 @@ load_dotenv(override=True)
 
 from pydantic import Field, BaseModel
 from vectara_agent.agent import Agent, AgentStatusType
-from vectara_agent.tools import ToolsFactory
+from vectara_agent.tools import ToolsFactory, VectaraToolFactory
 
 tickers = {
     "AAPL": "Apple Computer", 
@@ -80,10 +80,12 @@ def create_tools(cfg):
         year: int = Field(..., description=f"The year. An integer between {min(years)} and {max(years)}.")
         ticker: str = Field(..., description=f"The company ticker. Must be a valid ticket symbol from the list {tickers.keys()}.")
 
-    tools_factory = ToolsFactory(vectara_api_key=cfg.api_key, 
-                                 vectara_customer_id=cfg.customer_id, 
-                                 vectara_corpus_id=cfg.corpus_id)
-    ask_transcripts = tools_factory.create_rag_tool(
+    vec_factory = VectaraToolFactory(vectara_api_key=cfg.api_key, 
+                                     vectara_customer_id=cfg.customer_id, 
+                                     vectara_corpus_id=cfg.corpus_id)
+    tools_factory = ToolsFactory()
+
+    ask_transcripts = vec_factory.create_rag_tool(
         tool_name = "ask_transcripts",
         tool_description = """
         Given a company name and year, responds to a user question about the company, based on analyst call transcripts about the company's financial reports for that year.