mirror of
https://github.com/Laurent2916/nio-llm.git
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125 lines
3.6 KiB
Python
125 lines
3.6 KiB
Python
"""A Matrix client that uses Llama to respond to messages."""
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import logging
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import time
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from pathlib import Path
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from textwrap import dedent
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from llama_cpp import Llama
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from nio import AsyncClient, MatrixRoom, RoomMessageText
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logger = logging.getLogger("nio-llm.client")
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class LLMClient(AsyncClient):
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"""A Matrix client that uses Llama to respond to messages."""
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def __init__(
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self,
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username: str,
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homeserver: str,
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device_id: str,
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preprompt: str,
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ggml_path: Path,
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room: str,
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):
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"""Create a new LLMClient instance."""
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self.uid = f"@{username}:{homeserver.removeprefix('https://')}"
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self.spawn_time = time.time() * 1000
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self.username = username
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self.preprompt = preprompt
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self.room = room
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# create the AsyncClient instance
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super().__init__(
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user=self.uid,
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homeserver=homeserver,
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device_id=device_id,
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)
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# create the Llama instance
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self.llm = Llama(
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model_path=str(ggml_path),
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n_threads=12,
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)
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# add callbacks
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self.add_event_callback(self.message_callback, RoomMessageText) # type: ignore
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async def message_callback(self, room: MatrixRoom, event: RoomMessageText):
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"""Process new messages as they come in."""
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logger.debug(f"New RoomMessageText: {event.source}")
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# ignore our own messages
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if event.sender == self.user:
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logger.debug("Ignoring our own message.")
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return
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# ignore messages pre-dating our spawn time
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if event.server_timestamp < self.spawn_time:
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logger.debug("Ignoring message pre-spawn.")
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return
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# ignore messages not in our monitored room
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if room.room_id != self.room:
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logger.debug("Ignoring message in different room.")
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return
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# ignore edited messages
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if "m.new_content" in event.source["content"]:
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logger.debug("Ignoring edited message.")
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return
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# ignore messages not mentioning us
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if not (
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"format" in event.source["content"]
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and "formatted_body" in event.source["content"]
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and event.source["content"]["format"] == "org.matrix.custom.html"
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and f'<a href="https://matrix.to/#/{self.uid}">{self.username}</a>'
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in event.source["content"]["formatted_body"]
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):
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logger.debug("Ignoring message not directed at us.")
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return
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# generate prompt from message
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prompt = dedent(
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f"""
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{self.preprompt}
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<{event.sender}>: {event.body}
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<{self.username}>:
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""",
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).strip()
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logger.debug(f"Prompt: {prompt}")
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# enable typing indicator
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await self.room_typing(
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self.room,
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typing_state=True,
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timeout=100000000,
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)
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# generate response using llama.cpp
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output = self.llm(
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prompt,
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max_tokens=100,
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stop=[f"<{event.sender}>"],
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echo=True,
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)
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# retreive the response
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output = output["choices"][0]["text"] # type: ignore
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output = output.removeprefix(prompt).strip()
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# disable typing indicator
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await self.room_typing(self.room, typing_state=False)
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# send the response
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await self.room_send(
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room_id=self.room,
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message_type="m.room.message",
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content={
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"msgtype": "m.text",
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"body": output,
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},
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)
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