enhance

README.md

@@ -40,8 +40,8 @@ Any messages that are over 160 characters are chunked into 160 message bytes to
   - `wx` and `wxc` returns local weather forecast, (wxc is metric value), NOAA or Open Meteo for weather forecasting.
   - `wxa` and `wxalert` return NOAA alerts. Short title or expanded details
   - `joke` tells a joke
-  - `wiki: ` search wikipedia, return the first few sentances of first result if a match `wiki: lora radio`
-  - `ask: ` ask Ollama LLM AI for a response `ask: what temp do I cook chicken`
+  - `wiki: ` will search wikipedia, return the first few sentances of first result if a match `wiki: lora radio`
+  - `askai` and `ask:` will ask Ollama LLM AI for a response `askai what temp do I cook chicken`
   - `messages` Replay the last messages heard, like Store and Forward
   - `motd` or to set the message `motd $New Message Of the day`
   - `lheard` returns the last 5 heard nodes with SNR, can also use `sitrep`

mesh_bot.py

@@ -24,6 +24,7 @@ def auto_response(message, snr, rssi, hop, message_from_id, channel_number, devi
         "wx": lambda: handle_wxc(message_from_id, deviceID, 'wx'),
         "wiki:": lambda: handle_wiki(message),
         "ask:": lambda: handle_llm(message_from_id, channel_number, deviceID, message, publicChannel),
+        "askai": lambda: handle_llm(message_from_id, channel_number, deviceID, message, publicChannel),
         "joke": tell_joke,
         "bbslist": bbs_list_messages,
         "bbspost": lambda: handle_bbspost(message, message_from_id, deviceID),
@@ -108,9 +109,11 @@ def handle_llm(message_from_id, channel_number, deviceID, message, publicChannel
     global llmRunCounter, llmTotalRuntime
     if "ask:" in message.lower():
         user_input = message.split(":")[1]
-        user_input = user_input.strip()
+    elif "askai" in message.lower():
+        user_input = message.replace("askai", "")
     else:
         user_input = message
+    user_input = user_input.strip()
         
     if len(user_input) < 1:
         return "Please ask a question"

modules/llm.py

@@ -13,7 +13,7 @@ llmEnableHistory = False
 llm_history_limit = 6 # limit the history to 3 messages (come in pairs)
 antiFloodLLM = []
 llmChat_history = []
-trap_list_llm = ("ask:",)
+trap_list_llm = ("ask:", "askai")
 
 meshBotAI = """
 FROM {llmModel}

modules/system.py

@@ -74,7 +74,7 @@ if wikipedia_enabled:
 if llm_enabled:
     from modules.llm import * # from the spudgunman/meshing-around repo
     trap_list = trap_list + trap_list_llm # items ask:
-    help_message = help_message + ", ask:"
+    help_message = help_message + ", askai"
 
 # Scheduled Broadcast Configuration
 if scheduler_enabled:
@@ -670,7 +670,6 @@ async def watchdog():
                 with contextlib.redirect_stdout(None):
                     interface1.localNode.getMetadata()
                     print(f"System: if you see this upgrade python to >3.4")
-                #if "device_state_version:" not in meta:
             except Exception as e:
                 logger.error(f"System: communicating with interface1, trying to reconnect: {e}")
                 retry_int1 = True