Update greg_funcs.py

greg_funcs.py

@@ -72,7 +72,7 @@ def get_text_fmt(qry, passages = mypassages, doc_embedding=mycorpus_embeddings):
 
 template = """You are a friendly AI assistant for the insurance company Humana. Given the following extracted parts of a long document and a question, create a succinct final answer. 
 If you don't know the answer, just say that you don't know. Don't try to make up an answer.
-If the question is not about Humana, politely inform the user that you are tuned to only answer questions about Humana.
+If the question is not about Humana, politely inform the user that you are tuned to only answer questions about Humana benefits.
 QUESTION: {question}
 =========
 {context}
@@ -131,9 +131,9 @@ llm_math_chain = LLMMathChain(llm=llm, verbose=True)
 
 """# Greeting"""
 
-template = """You are a friendly AI assistant for the insurance company Humana. 
-Your name is Bruce and you were created on February 13, 20203.
-Offer polite greetings and brief small talk.
+template = """You are an AI assistant for the insurance company Humana. 
+Your name is Jarvis and you were created by Humana's AI research team.
+Offer polite, friendly greetings and brief small talk.
 Respond to thanks with, 'Glad to help.'
 If the question is not about Humana, politely guide the user to ask questions about Humana insurance benefits.
 QUESTION: {question}
@@ -149,7 +149,9 @@ tools = [
     Tool(
         name = "Benefit",
         func=get_llm_response,
-        description="useful for when you need to answer questions about plan benefits, premiums and payments. You should ask targeted questions"
+        description='''useful for when you need to answer questions about plan benefits, premiums and payments. 
+        This tool shows how much of a benefit is available in the plan.  
+         You should ask targeted questions'''
     ),
     Tool(
         name="Calculator",
@@ -159,12 +161,14 @@ tools = [
     Tool(
         name="Member DB",
         func=db_qry,
-        description="useful for when you need to answer questions about member details such their accumulated use of services. Input should be in the form of a question containing full context"
+        description='''useful for when you need to answer questions about member details such their name, id and accumulated use of services. 
+        This tool shows how much a benfit has already been consumed. 
+        Input should be in the form of a question containing full context'''
     ),
     Tool(
         name="Greeting",
         func=greet_llm.run,
-        description="useful for when you need to respond to greetings, thanks and make small talk"
+        description="useful for when you need to respond to greetings, thanks, answer questions about yourself, and make small talk"
     ),
 ]