import json from typing import List from aiohttp import ClientSession from maubot import Plugin from mautrix.types import MessageEvent from mautrix.util.config import BaseProxyConfig import maubot_llmplus import maubot_llmplus.platforms from maubot_llmplus.platforms import Platform, ChatCompletion class Ollama(Platform): chat_api: str def __init__(self, config: BaseProxyConfig, name: str, http: ClientSession) -> None: super().__init__(config, name, http) self.chat_api = '/api/chat' async def create_chat_completion(self, plugin: Plugin, evt: MessageEvent) -> ChatCompletion: full_context = [] context = await maubot_llmplus.platforms.get_context(plugin, self, evt) full_context.extend(list(context)) endpoint = f"{self.url}/api/chat" req_body = {'model': self.model, 'messages': full_context, 'stream': False} headers = {'Content-Type': 'application/json'} async with self.http.post(endpoint, headers=headers, json=req_body) as response: # plugin.log.debug(f"响应内容:{response.status}, {await response.json()}") if response.status != 200: return ChatCompletion( message={}, finish_reason=f"http status {response.status}", model=None ) response_json = await response.json() return ChatCompletion( message=response_json['message'], finish_reason='success', model=response_json['model'] ) async def list_models(self) -> List[str]: full_url = f"{self.url}/api/tags" async with self.http.get(full_url) as response: if response.status != 200: return [] response_data = await response.json() return [model['name'] for model in response_data['models']] def get_type(self) -> str: return "local_ai" class LmStudio(Platform): def __init__(self, config: BaseProxyConfig, name: str, http: ClientSession) -> None: super().__init__(config, name, http) pass async def create_chat_completion(self, plugin: Plugin, evt: MessageEvent) -> ChatCompletion: pass