LocationAware

mesh_bot.py

@@ -107,8 +107,13 @@ def handle_wiki(message):
 
 def handle_llm(message_from_id, channel_number, deviceID, message, publicChannel):
     global llmRunCounter, llmTotalRuntime
+    
     location = get_node_location(message_from_id, deviceID)
-    location_name = where_am_i(str(location[0]), str(location[1], short=True))
+    if location_enabled:
+        location_name = where_am_i(str(location[0]), str(location[1], short=True))
+    else:
+        location_name = "Unknown"
+
     if "ask:" in message.lower():
         user_input = message.split(":")[1]
     elif "askai" in message.lower():

modules/llm.py

@@ -33,15 +33,24 @@ PROMPT
 {input}
 user={userID}
 
-
 """
 
 if llmContext_fromGoogle:
     meshBotAI = meshBotAI + """
     CONTEXT
+    The following is the location the user
+    {location_name}
+
     The following is for context around the prompt to help guide your response.
     {context}
 
+    """
+else:
+    meshBotAI = meshBotAI + """
+    CONTEXT
+    The following is the location the user
+    {location_name}
+
     """
 
 if llmEnableHistory:
@@ -80,10 +89,10 @@ def llm_query(input, nodeID=0, location_name=None):
                     # SearchResult object has url= title= description= just grab title and description
                     googleResults.append(f"{result.title} {result.description}")
             else:
-                googleResults = ['no context provided']
+                googleResults = ['no other context provided']
         except Exception as e:
             logger.debug(f"System: LLM Query: context gathering error: {e}")
-            googleResults = ['no context provided']
+            googleResults = ['no other context provided']
 
 
     if googleResults:
@@ -93,7 +102,8 @@ def llm_query(input, nodeID=0, location_name=None):
     
     response = ""
     result = ""
-    result = chain_prompt_model.invoke({"input": input, "llmModel": llmModel, "userID": nodeID, "history": llmChat_history, "context": googleResults})
+    result = chain_prompt_model.invoke({"input": input, "llmModel": llmModel, "userID": nodeID, \
+                                        "history": llmChat_history, "context": googleResults, "location_name": location_name})
     #logger.debug(f"System: LLM Response: " + result.strip().replace('\n', ' '))
 
     response = result.strip().replace('\n', ' ')