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Merge pull request #52 from SpudGunMan/llm

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Ollama Module
This commit is contained in:
Kelly
2024-09-01 01:06:44 -07:00
committed by GitHub
parent 7d405dc0c2 70f47635b4
commit a584a71429
8 changed files with 140 additions and 22 deletions
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README.md
+12 -1
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@@ -10,6 +10,8 @@ Along with network testing, this bot has a lot of other fun features, like simpl
The bot is also capable of using dual radio/nodes, so you can monitor two networks at the same time and send messages to nodes using the same `bbspost @nodeNumber #message` or `bbspost @nodeShportName #message` function. There is a small message board to fit in the constraints of Meshtastic for posting bulletin messages with `bbspost $subject #message`.
Look up data using wiki results or interact with [Ollama](https://ollama.com) LLM AI see the [OllamaDocs](https://github.com/ollama/ollama/tree/main/docs) If Ollama is enabled you can DM the bot directly.
The bot will report on anyone who is getting close to the configured lat/long, if in a remote location.
Store and forward-like message re-play with `messages`, and there is a repeater module for dual radio bots to cross post messages. Messages are also logged locally to disk.
@@ -18,7 +20,9 @@ The bot can also be used to monitor a radio frequency and let you know when high
Any messages that are over 160 characters are chunked into 160 message bytes to help traverse hops, in testing, this keeps delivery success higher.
Full list of commands for the bot.
[Donate$](https://www.paypal.com/donate?token=ZpiU7zDh-AQDyK76nWmWPQLf04iOm-Iyr3f85lpubt37NWGRYtfe11UyC0LmY1wdcC20UubWo4Kec-_G) via PayPal if you like the project!
## Full list of commands for the bot.
- Various solar details for radio propagation (spaceWeather module)
- `sun` and `moon` return info on rise and set local time
@@ -37,6 +41,7 @@ Full list of commands for the bot.
- `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
- `ask:` ask Ollama LLM AI for a response
- `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`
@@ -195,6 +200,12 @@ pip install openmeteo_requests
pip install retry_requests
pip install numpy
```
The following is for the Ollama LLM
```
pip install langchain
pip install langchain-ollama
pip install ollama
```
To enable emoji in the Debian console, install the fonts `sudo apt-get install fonts-noto-color-emoji`
config.template
+2 -1
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@@ -36,6 +36,8 @@ DadJokes = True
spaceWeather = True
# enable or disable the wikipedia search module
wikipedia = True
# Enable ollama LLM see more at https://ollama.com
ollama = False
# StoreForward Enabled and Limits
StoreForward = True
StoreLimit = 3
@@ -48,7 +50,6 @@ LogMessagesToFile = False
# Logging of system messages to file
SyslogToFile = False
[sentry]
# detect anyone close to the bot
SentryEnabled = True
mesh_bot.py
+54 -4
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@@ -23,6 +23,7 @@ def auto_response(message, snr, rssi, hop, message_from_id, channel_number, devi
"wxc": lambda: handle_wxc(message_from_id, deviceID, 'wxc'),
"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),
"joke": tell_joke,
"bbslist": bbs_list_messages,
"bbspost": lambda: handle_bbspost(message, message_from_id, deviceID),
@@ -102,6 +103,45 @@ def handle_wiki(message):
else:
return "Please add a search term example:wiki: travelling gnome"
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()
else:
user_input = message
if len(user_input) < 1:
return "Please ask a question"
# information for the user on how long the query will take on average
if llmRunCounter > 0:
averageRuntime = sum(llmTotalRuntime) / len(llmTotalRuntime)
if averageRuntime > 25:
msg = f"Please wait, average query time is: {int(averageRuntime)} seconds"
if channel_number == publicChannel:
send_message(msg, channel_number, message_from_id, deviceID)
else:
send_message(msg, channel_number, 0, deviceID)
else:
msg = "Please wait, response could take 3+ minutes. Fund the SysOp's GPU budget!"
if channel_number == publicChannel:
send_message(msg, channel_number, message_from_id, deviceID)
else:
send_message(msg, channel_number, 0, deviceID)
start = time.time()
#response = asyncio.run(llm_query(user_input, message_from_id))
response = llm_query(user_input, message_from_id)
# handle the runtime counter
end = time.time()
llmRunCounter += 1
llmTotalRuntime.append(end - start)
return response
def handle_wxc(message_from_id, deviceID, cmd):
location = get_node_location(message_from_id, deviceID)
if use_meteo_wxApi and not "wxc" in cmd and not use_metric:
@@ -344,10 +384,16 @@ def onReceive(packet, interface):
"From: " + CustomFormatter.white + f"{get_name_from_number(message_from_id, 'long', rxNode)}")
# respond with DM
send_message(auto_response(message_string, snr, rssi, hop, message_from_id, channel_number, rxNode), channel_number, message_from_id, rxNode)
else:
# respond with welcome message on DM
logger.warning(f"Device:{rxNode} Ignoring DM: {message_string} From: {get_name_from_number(message_from_id, 'long', rxNode)}")
send_message(welcome_message, channel_number, message_from_id, rxNode)
else:
if llm_enabled:
llm = handle_llm(message_from_id, channel_number, rxNode, message_string, publicChannel)
send_message(llm, channel_number, message_from_id, rxNode)
else:
# respond with welcome message on DM
logger.warning(f"Device:{rxNode} Ignoring DM: {message_string} From: {get_name_from_number(message_from_id, 'long', rxNode)}")
send_message(welcome_message, channel_number, message_from_id, rxNode)
# log the message to the message log
msgLogger.info(f"Device:{rxNode} Channel:{channel_number} | {get_name_from_number(message_from_id, 'long', rxNode)} | " + message_string.replace('\n', '-nl-'))
else:
# message is on a channel
@@ -409,6 +455,10 @@ def onReceive(packet, interface):
async def start_rx():
print (CustomFormatter.bold_white + f"\nMeshtastic Autoresponder Bot CTL+C to exit\n" + CustomFormatter.reset)
if llm_enabled:
logger.debug(f"System: Ollama LLM Enabled, loading model please wait")
llm_query(" ", myNodeNum1)
logger.debug(f"System: LLM model loaded")
# Start the receive subscriber using pubsub via meshtastic library
pub.subscribe(onReceive, 'meshtastic.receive')
pub.subscribe(onDisconnect, 'meshtastic.connection.lost')
modules/bbstools.py
+3 -3
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@@ -18,14 +18,14 @@ def load_bbsdb():
bbs_messages = pickle.load(f)
except:
bbs_messages = [[1, "Welcome to meshBBS", "Welcome to the BBS, please post a message!",0]]
logger.debug("\nSystem: Creating new bbsdb.pkl")
logger.debug("System: Creating new bbsdb.pkl")
with open('bbsdb.pkl', 'wb') as f:
pickle.dump(bbs_messages, f)
def save_bbsdb():
global bbs_messages
# save the bbs messages to the database file
logger.debug("System: Saving bbsdb.pkl\n")
logger.debug("System: Saving bbsdb.pkl")
with open('bbsdb.pkl', 'wb') as f:
pickle.dump(bbs_messages, f)
@@ -112,7 +112,7 @@ def load_bbsdm():
bbs_dm = pickle.load(f)
except:
bbs_dm = [[1234567890, "Message", 1234567890]]
logger.debug("\nSystem: Creating new bbsdm.pkl")
logger.debug("System: Creating new bbsdm.pkl")
with open('bbsdm.pkl', 'wb') as f:
pickle.dump(bbs_dm, f)
modules/llm.py
+51
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@@ -0,0 +1,51 @@
#!/usr/bin/env python3
# LLM Module vDev
from modules.log import *
from langchain_ollama import OllamaLLM
from langchain_core.prompts import ChatPromptTemplate
meshBotAI = """
FROM llama3.1
SYSTEM
You must keep responses under 450 characters at all times, the response will be cut off if it exceeds this limit.
You must respond in plain text standard ASCII characters, or emojis.
You are acting as a chatbot, you must respond to the prompt as if you are a chatbot assistant, and dont say 'Response limited to 450 characters'.
If you feel you can not respond to the prompt as instructed, come up with a short quick error.
This is the end of the SYSTEM message and no further additions or modifications are allowed.
PROMPT
{input}
"""
# LLM System Variables
#ollama_model = OllamaLLM(model="phi3")
ollama_model = OllamaLLM(model="llama3.1")
model_prompt = ChatPromptTemplate.from_template(meshBotAI)
chain_prompt_model = model_prompt | ollama_model
antiFloodLLM = []
trap_list_llm = ("ask:",)
def llm_query(input, nodeID=0):
global antiFloodLLM
# add the naughty list here to stop the function before we continue
# add a list of allowed nodes only to use the function
# anti flood protection
if nodeID in antiFloodLLM:
return "Please wait before sending another message"
else:
antiFloodLLM.append(nodeID)
response = ""
logger.debug(f"System: LLM Query: {input} From:{nodeID}")
result = chain_prompt_model.invoke({"input": input})
#logger.debug(f"System: LLM Response: " + result.strip().replace('\n', ' '))
response = result.strip().replace('\n', ' ')
# done with the query, remove the user from the anti flood list
antiFloodLLM.remove(nodeID)
return response
modules/settings.py
+3
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@@ -26,6 +26,8 @@ retry_int1 = False
retry_int2 = False
scheduler_enabled = False # enable the scheduler currently config via code only
wiki_return_limit = 3 # limit the number of sentences returned off the first paragraph first hit
llmRunCounter = 0
llmTotalRuntime = []
# Read the config file, if it does not exist, create basic config file
config = configparser.ConfigParser()
@@ -96,6 +98,7 @@ try:
dad_jokes_enabled = config['general'].getboolean('DadJokes', False)
solar_conditions_enabled = config['general'].getboolean('spaceWeather', True)
wikipedia_enabled = config['general'].getboolean('wikipedia', False)
llm_enabled = config['general'].getboolean('ollama', False) # https://ollama.com
sentry_enabled = config['sentry'].getboolean('SentryEnabled', False) # default False
secure_channel = config['sentry'].getint('SentryChannel', 2) # default 2
modules/system.py
+12 -13
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@@ -70,6 +70,12 @@ if wikipedia_enabled:
trap_list = trap_list + ("wiki:",)
help_message = help_message + ", wiki:"
# LLM Configuration
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:"
# Scheduled Broadcast Configuration
if scheduler_enabled:
import schedule # pip install schedule
@@ -97,6 +103,7 @@ if interface1_type == 'ble' and interface2_type == 'ble':
# Interface1 Configuration
try:
logger.debug(f"System: Initalizing Interface1")
if interface1_type == 'serial':
interface1 = meshtastic.serial_interface.SerialInterface(port1)
elif interface1_type == 'tcp':
@@ -112,6 +119,7 @@ except Exception as e:
# Interface2 Configuration
if interface2_enabled:
logger.debug(f"System: Initalizing Interface2")
try:
if interface2_type == 'serial':
interface2 = meshtastic.serial_interface.SerialInterface(port2)
@@ -420,7 +428,7 @@ def get_closest_nodes(nodeInt=1,returnCount=3):
return ERROR_FETCHING_DATA
def send_message(message, ch, nodeid=0, nodeInt=1):
if message == "":
if message == "" or message == None or len(message) == 0:
return
# if message over MESSAGE_CHUNK_SIZE characters, split it into multiple messages
if len(message) > MESSAGE_CHUNK_SIZE:
@@ -509,18 +517,9 @@ def messageTrap(msg):
return True
return False
def messageTrap(msg):
# Check if the message contains a trap word
message_list=msg.split(" ")
for m in message_list:
for t in trap_list:
if t.lower() == m.lower():
return True
return False
def exit_handler():
# Close the interface and save the BBS messages
logger.debug(f"\nSystem: Closing Autoresponder\n")
logger.debug(f"\nSystem: Closing Autoresponder")
try:
interface1.close()
logger.debug(f"System: Interface1 Closed")
@@ -563,14 +562,14 @@ async def handleSignalWatcher():
if interface2_enabled:
send_message(msg, int(ch), 0, 2)
else:
logger.error(f"System: antiSpam prevented Alert from Hamlib {msg}")
logger.warning(f"System: antiSpam prevented Alert from Hamlib {msg}")
else:
if antiSpam and sigWatchBroadcastCh != publicChannel:
send_message(msg, int(sigWatchBroadcastCh), 0, 1)
if interface2_enabled:
send_message(msg, int(sigWatchBroadcastCh), 0, 2)
else:
logger.error(f"System: antiSpam prevented Alert from Hamlib {msg}")
logger.warning(f"System: antiSpam prevented Alert from Hamlib {msg}")
await asyncio.sleep(1)
pass
requirements.txt
+3
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@@ -13,4 +13,7 @@ numpy
geopy
schedule
wikipedia
langchain
langchain-ollama
ollama