diff --git a/.editorconfig b/.editorconfig deleted file mode 100644 index 6d58dd8..0000000 --- a/.editorconfig +++ /dev/null @@ -1,32 +0,0 @@ -# http://editorconfig.org -root = true - -[*] -indent_style = space -indent_size = 2 -end_of_line = lf -charset = utf-8 -trim_trailing_whitespace = true -insert_final_newline = true - -# The JSON files contain newlines inconsistently -[*.json] -insert_final_newline = ignore - -# Makefiles always use tabs for indentation -[Makefile] -indent_style = tab - -# Batch files use tabs for indentation -[*.bat] -indent_style = tab - -[*.md] -trim_trailing_whitespace = false - -# Matches the exact files either package.json or .travis.yml -[{package.json,.travis.yml}] -indent_size = 2 - -[{*.py,*.pyi}] -indent_size = 4 diff --git a/.github/actions/setup-python/action.yml b/.github/actions/setup-python/action.yml deleted file mode 100644 index 33816c5..0000000 --- a/.github/actions/setup-python/action.yml +++ /dev/null @@ -1,23 +0,0 @@ -name: Setup Python -description: Setup Python - -inputs: - python-version: - description: Python version - required: false - default: "3.10" - -runs: - using: "composite" - steps: - - name: Install poetry - run: pipx install poetry - shell: bash - - - uses: actions/setup-python@v5 - with: - python-version: ${{ inputs.python-version }} - cache: "poetry" - - - run: poetry install --all-extras - shell: bash diff --git a/.github/workflows/pyright.yml b/.github/workflows/pyright.yml deleted file mode 100644 index 4cd27b0..0000000 --- a/.github/workflows/pyright.yml +++ /dev/null @@ -1,33 +0,0 @@ -name: Pyright Lint - -on: - push: - branches: - - main - pull_request: - paths: - - "nonebot_plugin_llmchat/**" - - ".github/workflows/pyright.yml" - - "pyproject.toml" - - "poetry.lock" - -jobs: - pyright: - name: Pyright Lint - runs-on: ubuntu-latest - concurrency: - group: lint-${{ github.ref }}-${{ matrix.env }} - cancel-in-progress: true - - steps: - - uses: actions/checkout@v4 - - - name: Setup Python environment - uses: ./.github/actions/setup-python - - - run: echo "$(poetry env info --path)/bin" >> $GITHUB_PATH - - - name: Run Pyright - uses: jakebailey/pyright-action@v2 - with: - pylance-version: latest-release diff --git a/.github/workflows/ruff.yml b/.github/workflows/ruff.yml deleted file mode 100644 index b0f1edd..0000000 --- a/.github/workflows/ruff.yml +++ /dev/null @@ -1,26 +0,0 @@ -name: Ruff Lint - -on: - push: - branches: - - main - pull_request: - paths: - - "nonebot_plugin_llmchat/**" - - ".github/workflows/ruff.yml" - - "pyproject.toml" - - "poetry.lock" - -jobs: - ruff: - name: Ruff Lint - runs-on: ubuntu-latest - concurrency: - group: lint-${{ github.ref }} - cancel-in-progress: true - - steps: - - uses: actions/checkout@v4 - - - name: Run Ruff Lint - uses: astral-sh/ruff-action@v3 diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml deleted file mode 100644 index 4450573..0000000 --- a/.pre-commit-config.yaml +++ /dev/null @@ -1,22 +0,0 @@ -default_install_hook_types: [pre-commit, prepare-commit-msg] -ci: - autofix_commit_msg: ":rotating_light: auto fix by pre-commit hooks" - autofix_prs: true - autoupdate_branch: main - autoupdate_schedule: monthly - autoupdate_commit_msg: ":arrow_up: auto update by pre-commit hooks" -repos: - - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.9.4 - hooks: - - id: ruff - args: [--fix] - stages: [pre-commit] - - id: ruff-format - stages: [pre-commit] - - - repo: https://github.com/nonebot/nonemoji - rev: v0.1.4 - hooks: - - id: nonemoji - stages: [prepare-commit-msg] diff --git a/README.md b/README.md index 356effc..880303d 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ # nonebot-plugin-llmchat -_✨ 支持多API预设、MCP协议、联网搜索、视觉模型的AI群聊插件 ✨_ +_✨ 支持多API预设配置的AI群聊插件 ✨_ @@ -17,39 +17,33 @@ _✨ 支持多API预设、MCP协议、联网搜索、视觉模型的AI群聊插 pypi -python -Ask DeepWiki +python ## 📖 介绍 -1. **支持MCP协议** - - 可以连接各种支持MCP协议的LLM工具 - - 通过连接一些搜索MCP服务器可以实现在线搜索 - - 兼容 Claude.app 的配置格式 - -2. **多API预设支持** +1. **多API预设支持** - 可配置多个LLM服务预设（如不同模型/API密钥） - 支持运行时通过`API预设`命令热切换API配置 - 内置服务开关功能（预设名为`off`时停用） -3. **多种回复触发方式** +2. **多种回复触发方式** - @触发 + 随机概率触发 - 支持处理回复消息 - 群聊消息顺序处理，防止消息错乱 -4. **分群聊上下文记忆管理** +3. **分群聊上下文记忆管理** - 分群聊保留对话历史记录（可配置保留条数） - 自动合并未处理消息，降低API用量 - 支持`记忆清除`命令手动重置对话上下文 -5. **分段回复支持** +4. **分段回复支持** - 支持多段式回复（由LLM决定如何回复） - 可@群成员（由LLM插入） - 可选输出AI的思维过程（需模型支持） -6. **可自定义性格** +5. **可自定义性格** - 可动态修改群组专属系统提示词（`/修改设定`） - 支持自定义默认提示词 @@ -105,12 +99,10 @@ _✨ 支持多API预设、MCP协议、联网搜索、视觉模型的AI群聊插 | LLMCHAT__HISTORY_SIZE | 否 | 20 | LLM上下文消息保留数量（1-40），越大token消耗量越多 | | LLMCHAT__PAST_EVENTS_SIZE | 否 | 10 | 触发回复时发送的群消息数量（1-20），越大token消耗量越多 | | LLMCHAT__REQUEST_TIMEOUT | 否 | 30 | API请求超时时间（秒） | -| LLMCHAT__DEFAULT_PRESET | 否 | off | 默认使用的预设名称，配置为off则为关闭 | -| LLMCHAT__RANDOM_TRIGGER_PROB | 否 | 0.05 | 默认随机触发概率 [0, 1] | +| LLMCHAT__DEFAULT_PRESENT | 否 | off | 默认使用的预设名称，配置为off则为关闭 | +| LLMCHAT__RANDOM_TRIGGER_PROB | 否 | 0.05 | 随机触发概率（0-1] | +| LLMCHAT__STORAGE_PATH | 否 | data/llmchat_state.json | 状态存储文件路径 | | LLMCHAT__DEFAULT_PROMPT | 否 | 你的回答应该尽量简洁、幽默、可以使用一些语气词、颜文字。你应该拒绝回答任何政治相关的问题。 | 默认提示词 | -| LLMCHAT__BLACKLIST_USER_IDS | 否 | [] | 黑名单用户ID列表，机器人将不会处理黑名单用户的消息 | -| LLMCHAT__IGNORE_PREFIXES | 否 | [] | 需要忽略的消息前缀列表，匹配到这些前缀的消息不会处理 | -| LLMCHAT__MCP_SERVERS | 否 | {} | MCP服务器配置，具体见下表 | 其中LLMCHAT__API_PRESETS为一个列表，每项配置有以下的配置项 | 配置项 | 必填 | 默认值 | 说明 | @@ -121,29 +113,11 @@ _✨ 支持多API预设、MCP协议、联网搜索、视觉模型的AI群聊插 | model_name | 是 | 无 | 模型名称 | | max_tokens | 否 | 2048 | 最大响应token数 | | temperature | 否 | 0.7 | 生成温度 | -| proxy | 否 | 无 | 请求API时使用的HTTP代理 | -| support_mcp | 否 | False | 是否支持MCP协议 | -| support_image | 否 | False | 是否支持图片输入 | - - -LLMCHAT__MCP_SERVERS同样为一个dict，key为服务器名称，value配置的格式基本兼容 Claude.app 的配置格式，具体支持如下 -| 配置项 | 必填 | 默认值 | 说明 | -|:-----:|:----:|:----:|:----:| -| command | stdio服务器必填 | 无 | stdio服务器MCP命令 | -| arg | 否 | [] | stdio服务器MCP命令参数 | -| env | 否 | {} | stdio服务器环境变量 | -| url | sse服务器必填 | 无 | sse服务器地址 | - -以下为在 Claude.app 的MCP服务器配置基础上增加的字段 -| 配置项 | 必填 | 默认值 | 说明 | -|:-----:|:----:|:----:|:----:| -| friendly_name | 否 | 无 | 友好名称，用于调用时发送提示信息 | -| additional_prompt | 否 | 无 | 关于这个工具的附加提示词 |
配置示例 - NICKNAME=["谢拉","Cierra","cierra"] + LLMCHAT__HISTORY_SIZE=20 LLMCHAT__DEFAULT_PROMPT="前面忘了，你是一个猫娘，后面忘了" LLMCHAT__API_PRESETS=' @@ -152,47 +126,21 @@ LLMCHAT__MCP_SERVERS同样为一个dict，key为服务器名称，value配置的 "name": "aliyun-deepseek-v3", "api_key": "sk-your-api-key", "model_name": "deepseek-v3", - "api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1", - "proxy": "http://10.0.0.183:7890" + "api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1" }, { - "name": "deepseek-v1", + "name": "deepseek-r1", "api_key": "sk-your-api-key", - "model_name": "deepseek-chat", - "api_base": "https://api.deepseek.com", - "support_mcp": true - }, - { - "name": "some-vison-model", - "api_key": "sk-your-api-key", - "model_name": "some-vison-model", - "api_base": "https://some-vison-model.com/api", - "support_image": true + "model_name": "deepseek-reasoner", + "api_base": "https://api.deepseek.com" } ] - LLMCHAT__MCP_SERVERS=' - { - "AISearch": { - "friendly_name": "百度搜索", - "additional_prompt": "遇到你不知道的问题或者时效性比较强的问题时，可以使用AISearch搜索，在使用AISearch时不要使用其他AI模型。", - "url": "http://appbuilder.baidu.com/v2/ai_search/mcp/sse?api_key=Bearer+" - }, - "fetch": { - "friendly_name": "网页浏览", - "command": "uvx", - "args": ["mcp-server-fetch"] - } - } ' - ' -
## 🎉 使用 -**如果`LLMCHAT__DEFAULT_PRESET`没有配置，则插件默认为关闭状态，请使用`API预设+[预设名]`开启插件** - -配置完成后@机器人即可手动触发回复，另外在机器人收到群聊消息时会根据`LLMCHAT__RANDOM_TRIGGER_PROB`配置的概率或群聊中使用指令设置的概率随机自动触发回复。 +配置完成后@机器人即可手动触发回复，另外在机器人收到群聊消息时会根据`LLMCHAT__RANDOM_TRIGGER_PROB`配置的概率随机自动触发回复。 ### 指令表 @@ -204,8 +152,6 @@ LLMCHAT__MCP_SERVERS同样为一个dict，key为服务器名称，value配置的 | 修改设定 | 管理 | 否 | 群聊 | 设定 | 修改机器人的设定，最好在修改之后执行一次记忆清除 | | 记忆清除 | 管理 | 否 | 群聊 | 无 | 清除机器人的记忆 | | 切换思维输出 | 管理 | 否 | 群聊 | 无 | 切换是否输出AI的思维过程的开关（需模型支持） | -| 设置主动回复概率 | 管理 | 否 | 群聊 | 主动回复概率 | 主动回复概率需为 [0, 1] 的浮点数，0为完全关闭主动回复 | ### 效果图 -![](img/mcp_demo.jpg) -![](img/demo.png) +![](img/demo.png) \ No newline at end of file diff --git a/img/mcp_demo.jpg b/img/mcp_demo.jpg deleted file mode 100644 index 159954c..0000000 Binary files a/img/mcp_demo.jpg and /dev/null differ diff --git a/nonebot_plugin_llmchat/__init__.py b/nonebot_plugin_llmchat/__init__.py old mode 100755 new mode 100644 index d3c6605..d8e9baa --- a/nonebot_plugin_llmchat/__init__.py +++ b/nonebot_plugin_llmchat/__init__.py @@ -1,52 +1,27 @@ -import asyncio -import base64 -from collections import defaultdict, deque -from datetime import datetime -import json -import os -import random -import re -import ssl -import time -from typing import TYPE_CHECKING - import aiofiles -import httpx -from nonebot import ( - get_bot, - get_driver, - get_plugin_config, - logger, - on_command, - on_message, - require, -) +from nonebot import get_plugin_config, on_message, logger, on_command, get_driver +from nonebot.plugin import PluginMetadata from nonebot.adapters.onebot.v11 import GroupMessageEvent, Message from nonebot.adapters.onebot.v11.permission import GROUP_ADMIN, GROUP_OWNER from nonebot.params import CommandArg -from nonebot.permission import SUPERUSER -from nonebot.plugin import PluginMetadata from nonebot.rule import Rule +from nonebot.permission import SUPERUSER +from typing import Dict +from datetime import datetime +from collections import deque +import asyncio from openai import AsyncOpenAI - from .config import Config, PresetConfig -from .mcpclient import MCPClient - -require("nonebot_plugin_localstore") -import nonebot_plugin_localstore as store - -require("nonebot_plugin_apscheduler") -from nonebot_plugin_apscheduler import scheduler - -if TYPE_CHECKING: - from openai.types.chat import ( - ChatCompletionContentPartParam, - ChatCompletionMessageParam, - ) +import time +import json +import os +import random +from apscheduler.schedulers.asyncio import AsyncIOScheduler +import time __plugin_meta__ = PluginMetadata( name="llmchat", - description="支持多API预设、MCP协议、联网搜索、视觉模型的AI群聊插件", + description="支持多API预设配置的AI群聊插件", usage="""@机器人 + 消息 开启对话""", type="application", homepage="https://github.com/FuQuan233/nonebot-plugin-llmchat", @@ -54,62 +29,39 @@ __plugin_meta__ = PluginMetadata( supported_adapters={"~onebot.v11"}, ) -plugin_config = get_plugin_config(Config).llmchat +pluginConfig = get_plugin_config(Config).llmchat driver = get_driver() -tasks: set["asyncio.Task"] = set() - - -def pop_reasoning_content( - content: str | None, -) -> tuple[str | None, str | None]: - if content is None: - return None, None - - # 如果找到了 标签内容，返回过滤后的文本和标签内的内容，否则只返回过滤后的文本和None - if matched := re.match(r"(.*?)", content, flags=re.DOTALL): - reasoning_element = matched.group(0) - reasoning_content = matched.group(1).strip() - filtered_content = content.replace(reasoning_element, "").strip() - - return filtered_content, reasoning_content - else: - return content, None - # 初始化群组状态 class GroupState: def __init__(self): - self.preset_name = plugin_config.default_preset - self.history = deque(maxlen=plugin_config.history_size * 2) + self.preset_name = pluginConfig.default_preset + self.history = deque(maxlen=pluginConfig.history_size) self.queue = asyncio.Queue() self.processing = False self.last_active = time.time() - self.past_events = deque(maxlen=plugin_config.past_events_size) - self.group_prompt: str | None = None + self.past_events = deque(maxlen=pluginConfig.past_events_size) + self.group_prompt = None self.output_reasoning_content = False - self.random_trigger_prob = plugin_config.random_trigger_prob - - -group_states: dict[int, GroupState] = defaultdict(GroupState) +group_states: Dict[int, GroupState] = {} # 获取当前预设配置 def get_preset(group_id: int) -> PresetConfig: state = group_states[group_id] - for preset in plugin_config.api_presets: + for preset in pluginConfig.api_presets: if preset.name == state.preset_name: return preset - return plugin_config.api_presets[0] # 默认返回第一个预设 - + return pluginConfig.api_presets[0] # 默认返回第一个预设 # 消息格式转换 -def format_message(event: GroupMessageEvent) -> str: +def format_message(event: GroupMessageEvent) -> Dict: text_message = "" - if event.reply is not None: + if event.reply != None: text_message += f"[回复 {event.reply.sender.nickname} 的消息 {event.reply.message.extract_plain_text()}]\n" if event.is_tome(): - text_message += f"@{next(iter(driver.config.nickname))} " + text_message += f"@{list(driver.config.nickname)[0]} " for msgseg in event.get_message(): if msgseg.type == "at": @@ -123,482 +75,258 @@ def format_message(event: GroupMessageEvent) -> str: elif msgseg.type == "text": text_message += msgseg.data.get("text", "") - message = { + message = { "SenderNickname": str(event.sender.card or event.sender.nickname), "SenderUserId": str(event.user_id), "Message": text_message, - "MessageID": event.message_id, - "SendTime": datetime.fromtimestamp(event.time).isoformat(), + "SendTime" : datetime.fromtimestamp(event.time).isoformat() } return json.dumps(message, ensure_ascii=False) - -def build_reasoning_forward_nodes(self_id: str, reasoning_content: str): - self_nickname = next(iter(driver.config.nickname)) - nodes = [ - { - "type": "node", - "data": { - "nickname": self_nickname, - "user_id": self_id, - "content": f"{self_nickname}的内心OS:", - }, - }, - { - "type": "node", - "data": { - "nickname": self_nickname, - "user_id": self_id, - "content": reasoning_content, - }, - }, - ] - - return nodes - - -async def is_triggered(event: GroupMessageEvent) -> bool: +async def isTriggered(event: GroupMessageEvent) -> bool: """扩展后的消息处理规则""" + + group_id = event.group_id - state = group_states[event.group_id] + if group_id not in group_states: + logger.info(f"初始化群组状态，群号：{group_id}") + group_states[group_id] = GroupState() + + state = group_states[group_id] if state.preset_name == "off": return False - # 黑名单用户 - if event.user_id in plugin_config.blacklist_user_ids: - return False - - # 忽略特定前缀的消息 - msg_text = event.get_plaintext().strip() - for prefix in plugin_config.ignore_prefixes: - if msg_text.startswith(prefix): - return False - state.past_events.append(event) # 原有@触发条件 if event.is_tome(): return True - + # 随机触发条件 - if random.random() < state.random_trigger_prob: + if random.random() < pluginConfig.random_trigger_prob: return True - + return False # 消息处理器 handler = on_message( - rule=Rule(is_triggered), - priority=99, + rule=Rule(isTriggered), + priority=10, block=False, ) - @handler.handle() async def handle_message(event: GroupMessageEvent): group_id = event.group_id - logger.debug( - f"收到群聊消息 群号：{group_id} 用户：{event.user_id} 内容：{event.get_plaintext()}" - ) + logger.debug(f"收到群聊消息 群号：{group_id} 用户：{event.user_id} 内容：{event.get_plaintext()}") + if group_id not in group_states: + group_states[group_id] = GroupState() + state = group_states[group_id] - + await state.queue.put(event) if not state.processing: state.processing = True - task = asyncio.create_task(process_messages(group_id)) - task.add_done_callback(tasks.discard) - tasks.add(task) - -async def process_images(event: GroupMessageEvent) -> list[str]: - base64_images = [] - for segement in event.get_message(): - if segement.type == "image": - image_url = segement.data.get("url") or segement.data.get("file") - if image_url: - try: - # 处理高版本 httpx 的 [SSL: SSLV3_ALERT_HANDSHAKE_FAILURE] 报错 - ssl_context = ssl.create_default_context() - ssl_context.check_hostname = False - ssl_context.verify_mode = ssl.CERT_NONE - ssl_context.set_ciphers("DEFAULT@SECLEVEL=2") - - # 下载图片并将图片转换为base64 - async with httpx.AsyncClient(verify=ssl_context) as client: - response = await client.get(image_url, timeout=10.0) - if response.status_code != 200: - logger.error(f"下载图片失败: {image_url}, 状态码: {response.status_code}") - continue - image_data = response.content - base64_data = base64.b64encode(image_data).decode("utf-8") - base64_images.append(base64_data) - except Exception as e: - logger.error(f"处理图片时出错: {e}") - logger.debug(f"共处理 {len(base64_images)} 张图片") - return base64_images - -async def send_split_messages(message_handler, content: str): - """ - 将消息按分隔符分段并发送 - """ - logger.info(f"准备发送分段消息，分段数：{len(content.split(''))}") - for segment in content.split(""): - # 跳过空消息 - if not segment.strip(): - continue - segment = segment.strip() # 删除前后多余的换行和空格 - await asyncio.sleep(2) # 避免发送过快 - logger.debug(f"发送消息分段 内容：{segment[:50]}...") # 只记录前50个字符避免日志过大 - await message_handler.send(Message(segment)) + asyncio.create_task(process_messages(group_id)) async def process_messages(group_id: int): state = group_states[group_id] preset = get_preset(group_id) - + # 初始化OpenAI客户端 - if preset.proxy != "": - client = AsyncOpenAI( - base_url=preset.api_base, - api_key=preset.api_key, - timeout=plugin_config.request_timeout, - http_client=httpx.AsyncClient(proxy=preset.proxy), - ) - else: - client = AsyncOpenAI( - base_url=preset.api_base, - api_key=preset.api_key, - timeout=plugin_config.request_timeout, - ) - - logger.info( - f"开始处理群聊消息 群号：{group_id} 当前队列长度：{state.queue.qsize()}" + client = AsyncOpenAI( + base_url=preset.api_base, + api_key=preset.api_key, + timeout=pluginConfig.request_timeout ) + + logger.info(f"开始处理群聊消息 群号：{group_id} 当前队列长度：{state.queue.qsize()}") while not state.queue.empty(): event = await state.queue.get() logger.debug(f"从队列获取消息 群号：{group_id} 消息ID：{event.message_id}") try: - systemPrompt = f""" + systemPrompt = ( +f''' 我想要你帮我在群聊中闲聊，大家一般叫你{"、".join(list(driver.config.nickname))}，我将会在后面的信息中告诉你每条群聊信息的发送者和发送时间，你可以直接称呼发送者为他对应的昵称。 你的回复需要遵守以下几点规则： - 你可以使用多条消息回复，每两条消息之间使用分隔，前后不需要包含额外的换行和空格。 - 除外，消息中不应该包含其他类似的标记。 -- 不要使用markdown或者html，聊天软件不支持解析，换行请用换行符。 +- 不要使用markdown格式，聊天软件不支持markdown解析。 - 你应该以普通人的方式发送消息，每条消息字数要尽量少一些，应该倾向于使用更多条的消息回复。 - 代码则不需要分段，用单独的一条消息发送。 - 请使用发送者的昵称称呼发送者，你可以礼貌地问候发送者，但只需要在第一次回答这位发送者的问题时问候他。 - 你有at群成员的能力，只需要在某条消息中插入[CQ:at,qq=（QQ号）]，也就是CQ码。at发送者是非必要的，你可以根据你自己的想法at某个人。 -- 你有引用某条消息的能力，使用[CQ:reply,id=（消息id）]来引用。 - 如果有多条消息，你应该优先回复提到你的，一段时间之前的就不要回复了，也可以直接选择不回复。 -- 如果你选择完全不回复，你只需要直接输出一个。 - 如果你需要思考的话，你应该思考尽量少，以节省时间。 下面是关于你性格的设定，如果设定中提到让你扮演某个人，或者设定中有提到名字，则优先使用设定中的名字。 -{state.group_prompt or plugin_config.default_prompt} -""" - if preset.support_mcp: - systemPrompt += "你也可以使用一些工具，下面是关于这些工具的额外说明：\n" - for mcp_name, mcp_config in plugin_config.mcp_servers.items(): - if mcp_config.addtional_prompt: - systemPrompt += f"{mcp_name}：{mcp_config.addtional_prompt}" - systemPrompt += "\n" +{state.group_prompt or pluginConfig.default_prompt} +''' + ) - messages: list[ChatCompletionMessageParam] = [ - {"role": "system", "content": systemPrompt} - ] + messages = [{"role": "system", "content": systemPrompt}] - while len(state.history) > 0 and state.history[0]["role"] != "user": - state.history.popleft() - - messages += list(state.history)[-plugin_config.history_size * 2 :] + messages += list(state.history)[-pluginConfig.history_size:] # 没有未处理的消息说明已经被处理了，跳过 if state.past_events.__len__() < 1: break - content: list[ChatCompletionContentPartParam] = [] - # 将机器人错过的消息推送给LLM - past_events_snapshot = list(state.past_events) - for ev in past_events_snapshot: - text_content = format_message(ev) - content.append({"type": "text", "text": text_content}) - - # 将消息中的图片转成 base64 - if preset.support_image: - base64_images = await process_images(ev) - for base64_image in base64_images: - content.append({"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"}}) - - new_messages: list[ChatCompletionMessageParam] = [ - {"role": "user", "content": content} - ] - - logger.debug( - f"发送API请求 模型：{preset.model_name} 历史消息数：{len(messages)}" - ) - - client_config = { - "model": preset.model_name, - "max_tokens": preset.max_tokens, - "temperature": preset.temperature, - "timeout": 60, - } - - mcp_client = MCPClient(plugin_config.mcp_servers) - if preset.support_mcp: - await mcp_client.connect_to_servers() - available_tools = await mcp_client.get_available_tools() - client_config["tools"] = available_tools + content = ",".join([format_message(ev) for ev in state.past_events]) + logger.debug(f"发送API请求 模型：{preset.model_name} 历史消息数：{len(messages)}") response = await client.chat.completions.create( - **client_config, - messages=messages + new_messages, + model=preset.model_name, + messages=messages + [{"role": "user", "content": content}], + max_tokens=preset.max_tokens, + temperature=preset.temperature, + timeout=60 ) + logger.debug(f"收到API响应 使用token数：{response.usage.total_tokens}") - if response.usage is not None: - logger.debug(f"收到API响应 使用token数：{response.usage.total_tokens}") + reply = response.choices[0].message.content - message = response.choices[0].message + # 请求成功后再保存历史记录，保证user和assistant穿插，防止R1模型报错 + state.history.append({"role": "user", "content": content}) + state.past_events.clear() - # 处理响应并处理工具调用 - while preset.support_mcp and message.tool_calls: - new_messages.append({ - "role": "assistant", - "tool_calls": [tool_call.model_dump() for tool_call in message.tool_calls] - }) + reasoning_content: str | None = getattr(response.choices[0].message, "reasoning_content", None) + if state.output_reasoning_content and reasoning_content: + await handler.send(Message(reasoning_content)) - # 发送LLM调用工具时的回复，一般没有 - if message.content: - await send_split_messages(handler, message.content) - - # 处理每个工具调用 - for tool_call in message.tool_calls: - tool_name = tool_call.function.name - tool_args = json.loads(tool_call.function.arguments) - - # 发送工具调用提示 - await handler.send(Message(f"正在使用{mcp_client.get_friendly_name(tool_name)}")) - - # 执行工具调用 - result = await mcp_client.call_tool(tool_name, tool_args) - - new_messages.append({ - "role": "tool", - "tool_call_id": tool_call.id, - "content": str(result) - }) - - # 将工具调用的结果交给 LLM - response = await client.chat.completions.create( - **client_config, - messages=messages + new_messages, - ) - - message = response.choices[0].message - - await mcp_client.cleanup() - - reply, matched_reasoning_content = pop_reasoning_content( - response.choices[0].message.content - ) - reasoning_content: str | None = ( - getattr(response.choices[0].message, "reasoning_content", None) - or matched_reasoning_content - ) - - new_messages.append({ + logger.info(f"准备发送回复消息 群号：{group_id} 消息分段数：{len(reply.split(''))}") + for r in reply.split(""): + # 删除前后多余的换行和空格 + while r[0] == "\n" or r[0] == " ": r = r[1:] + while r[-1] == "\n" or r[0] == " ": r = r[:-1] + await asyncio.sleep(2) + logger.debug(f"发送消息分段 内容：{r[:50]}...") # 只记录前50个字符避免日志过大 + await handler.send(Message(r)) + + # 添加助手回复到历史 + state.history.append({ "role": "assistant", "content": reply, }) - - # 请求成功后再保存历史记录，保证user和assistant穿插，防止R1模型报错 - for message in new_messages: - state.history.append(message) - state.past_events.clear() - - if state.output_reasoning_content and reasoning_content: - try: - bot = get_bot(str(event.self_id)) - await bot.send_group_forward_msg( - group_id=group_id, - messages=build_reasoning_forward_nodes( - bot.self_id, reasoning_content - ), - ) - except Exception as e: - logger.error(f"合并转发消息发送失败：\n{e!s}\n") - - assert reply is not None - await send_split_messages(handler, reply) - + except Exception as e: - logger.opt(exception=e).error(f"API请求失败 群号：{group_id}") - await handler.send(Message(f"服务暂时不可用，请稍后再试\n{e!s}")) + logger.error(f"API请求失败 群号：{group_id} 错误：{str(e)}", exc_info=True) + await handler.send(Message(f"服务暂时不可用，请稍后再试\n{str(e)}")) finally: state.queue.task_done() - + state.processing = False - # 预设切换命令 preset_handler = on_command("API预设", priority=1, block=True, permission=SUPERUSER) - - @preset_handler.handle() async def handle_preset(event: GroupMessageEvent, args: Message = CommandArg()): group_id = event.group_id preset_name = args.extract_plain_text().strip() - + + if group_id not in group_states: + group_states[group_id] = GroupState() + if preset_name == "off": group_states[group_id].preset_name = preset_name - await preset_handler.finish("已关闭llmchat") + await preset_handler.finish(f"已关闭llmchat") - available_presets = {p.name for p in plugin_config.api_presets} + available_presets = {p.name for p in pluginConfig.api_presets} if preset_name not in available_presets: - available_presets_str = "\n- ".join(available_presets) - await preset_handler.finish( - f"当前API预设：{group_states[group_id].preset_name}\n可用API预设：\n- {available_presets_str}" - ) - + await preset_handler.finish(f"当前API预设：{group_states[group_id].preset_name}\n可用API预设：\n- {'\n- '.join(available_presets)}") + group_states[group_id].preset_name = preset_name await preset_handler.finish(f"已切换至API预设：{preset_name}") - -edit_preset_handler = on_command( - "修改设定", - priority=1, - block=True, - permission=(SUPERUSER | GROUP_ADMIN | GROUP_OWNER), -) - - -@edit_preset_handler.handle() -async def handle_edit_preset(event: GroupMessageEvent, args: Message = CommandArg()): +preset_handler = on_command("修改设定", priority=1, block=True, permission=(SUPERUSER|GROUP_ADMIN|GROUP_OWNER)) +@preset_handler.handle() +async def handle_preset(event: GroupMessageEvent, args: Message = CommandArg()): group_id = event.group_id group_prompt = args.extract_plain_text().strip() - + + if group_id not in group_states: + group_states[group_id] = GroupState() + group_states[group_id].group_prompt = group_prompt - await edit_preset_handler.finish("修改成功") - - -reset_handler = on_command( - "记忆清除", - priority=1, - block=True, - permission=(SUPERUSER | GROUP_ADMIN | GROUP_OWNER), -) - + await preset_handler.finish("修改成功") +reset_handler = on_command("记忆清除", priority=99, block=True, permission=(SUPERUSER|GROUP_ADMIN|GROUP_OWNER)) @reset_handler.handle() async def handle_reset(event: GroupMessageEvent, args: Message = CommandArg()): group_id = event.group_id + if group_id not in group_states: + group_states[group_id] = GroupState() + group_states[group_id].past_events.clear() group_states[group_id].history.clear() - await reset_handler.finish("记忆已清空") - - -set_prob_handler = on_command( - "设置主动回复概率", - priority=1, - block=True, - permission=(SUPERUSER | GROUP_ADMIN | GROUP_OWNER), -) - - -@set_prob_handler.handle() -async def handle_set_prob(event: GroupMessageEvent, args: Message = CommandArg()): - group_id = event.group_id - prob = 0 - - try: - prob = float(args.extract_plain_text().strip()) - if prob < 0 or prob > 1: - raise ValueError - except Exception as e: - await reset_handler.finish(f"输入有误，请使用 [0,1] 的浮点数\n{e!s}") - - group_states[group_id].random_trigger_prob = prob - await reset_handler.finish(f"主动回复概率已设为 {prob}") - + await preset_handler.finish(f"记忆已清空") # 预设切换命令 -think_handler = on_command( - "切换思维输出", - priority=1, - block=True, - permission=(SUPERUSER | GROUP_ADMIN | GROUP_OWNER), -) - - -@think_handler.handle() -async def handle_think(event: GroupMessageEvent, args: Message = CommandArg()): - state = group_states[event.group_id] - state.output_reasoning_content = not state.output_reasoning_content - - await think_handler.finish( - f"已{(state.output_reasoning_content and '开启') or '关闭'}思维输出" - ) +preset_handler = on_command("切换思维输出", priority=1, block=True, permission=(SUPERUSER|GROUP_ADMIN|GROUP_OWNER)) +@preset_handler.handle() +async def handle_preset(event: GroupMessageEvent, args: Message = CommandArg()): + group_id = event.group_id + + if group_id not in group_states: + group_states[group_id] = GroupState() + + if group_states[group_id].output_reasoning_content: + group_states[group_id].output_reasoning_content = False + await preset_handler.finish("已关闭思维输出") + else: + group_states[group_id].output_reasoning_content = True + await preset_handler.finish("已开启思维输出") # region 持久化与定时任务 - -# 获取插件数据目录 -data_dir = store.get_plugin_data_dir() -# 获取插件数据文件 -data_file = store.get_plugin_data_file("llmchat_state.json") - - async def save_state(): """保存群组状态到文件""" - logger.info(f"开始保存群组状态到文件：{data_file}") + logger.info(f"开始保存群组状态到文件：{pluginConfig.storage_path}") data = { gid: { "preset": state.preset_name, "history": list(state.history), "last_active": state.last_active, "group_prompt": state.group_prompt, - "output_reasoning_content": state.output_reasoning_content, - "random_trigger_prob": state.random_trigger_prob, + "output_reasoning_content": state.output_reasoning_content } for gid, state in group_states.items() } - - os.makedirs(os.path.dirname(data_file), exist_ok=True) - async with aiofiles.open(data_file, "w", encoding="utf8") as f: + + os.makedirs(os.path.dirname(pluginConfig.storage_path), exist_ok=True) + async with aiofiles.open(pluginConfig.storage_path, "w") as f: await f.write(json.dumps(data, ensure_ascii=False)) - async def load_state(): """从文件加载群组状态""" - logger.info(f"从文件加载群组状态：{data_file}") - if not os.path.exists(data_file): + logger.info(f"从文件加载群组状态：{pluginConfig.storage_path}") + if not os.path.exists(pluginConfig.storage_path): return - - async with aiofiles.open(data_file, encoding="utf8") as f: + + async with aiofiles.open(pluginConfig.storage_path, "r") as f: data = json.loads(await f.read()) for gid, state_data in data.items(): state = GroupState() state.preset_name = state_data["preset"] - state.history = deque( - state_data["history"], maxlen=plugin_config.history_size * 2 - ) + state.history = deque(state_data["history"], maxlen=pluginConfig.history_size) state.last_active = state_data["last_active"] state.group_prompt = state_data["group_prompt"] state.output_reasoning_content = state_data["output_reasoning_content"] - state.random_trigger_prob = state_data.get("random_trigger_prob", plugin_config.random_trigger_prob) group_states[int(gid)] = state - # 注册生命周期事件 @driver.on_startup async def init_plugin(): logger.info("插件启动初始化") await load_state() + scheduler = AsyncIOScheduler() # 每5分钟保存状态 - scheduler.add_job(save_state, "interval", minutes=5) - + scheduler.add_job(save_state, 'interval', minutes=5) + scheduler.start() @driver.on_shutdown async def cleanup_plugin(): diff --git a/nonebot_plugin_llmchat/config.py b/nonebot_plugin_llmchat/config.py old mode 100755 new mode 100644 index d658875..b9abfd4 --- a/nonebot_plugin_llmchat/config.py +++ b/nonebot_plugin_llmchat/config.py @@ -1,54 +1,25 @@ from pydantic import BaseModel, Field - +from typing import List, Dict, Optional class PresetConfig(BaseModel): """API预设配置""" - name: str = Field(..., description="预设名称（唯一标识）") api_base: str = Field(..., description="API基础地址") api_key: str = Field(..., description="API密钥") model_name: str = Field(..., description="模型名称") max_tokens: int = Field(2048, description="最大响应token数") temperature: float = Field(0.7, description="生成温度（0-2]") - proxy: str = Field("", description="HTTP代理服务器") - support_mcp: bool = Field(False, description="是否支持MCP") - support_image: bool = Field(False, description="是否支持图片输入") - -class MCPServerConfig(BaseModel): - """MCP服务器配置""" - command: str | None = Field(None, description="stdio模式下MCP命令") - args: list[str] | None = Field([], description="stdio模式下MCP命令参数") - env: dict[str, str] | None = Field({}, description="stdio模式下MCP命令环境变量") - url: str | None = Field(None, description="sse模式下MCP服务器地址") - - # 额外字段 - friendly_name: str | None = Field(None, description="MCP服务器友好名称") - addtional_prompt: str | None = Field(None, description="额外提示词") class ScopedConfig(BaseModel): """LLM Chat Plugin配置""" - - api_presets: list[PresetConfig] = Field( - ..., description="API预设列表（至少配置1个预设）" - ) + api_presets: List[PresetConfig] = Field(...,description="API预设列表（至少配置1个预设）") history_size: int = Field(20, description="LLM上下文消息保留数量") - past_events_size: int = Field(10, description="触发回复时发送的群消息数量") + past_events_size : int = Field(10, description="触发回复时发送的群消息数量") request_timeout: int = Field(30, description="API请求超时时间（秒）") default_preset: str = Field("off", description="默认使用的预设名称") - random_trigger_prob: float = Field( - 0.05, ge=0.0, le=1.0, description="随机触发概率（0-1]" - ) - default_prompt: str = Field( - "你的回答应该尽量简洁、幽默、可以使用一些语气词、颜文字。你应该拒绝回答任何政治相关的问题。", - description="默认提示词", - ) - mcp_servers: dict[str, MCPServerConfig] = Field({}, description="MCP服务器配置") - blacklist_user_ids: set[int] = Field(set(), description="黑名单用户ID列表") - ignore_prefixes: list[str] = Field( - default_factory=list, - description="需要忽略的消息前缀列表，匹配到这些前缀的消息不会处理" - ) - + random_trigger_prob: float = Field(0.05, ge=0.0, le=1.0, description="随机触发概率（0-1]") + storage_path: str = Field("data/llmchat_state.json", description="状态存储文件路径") + default_prompt: str = Field("你的回答应该尽量简洁、幽默、可以使用一些语气词、颜文字。你应该拒绝回答任何政治相关的问题。", description="默认提示词") class Config(BaseModel): llmchat: ScopedConfig diff --git a/nonebot_plugin_llmchat/mcpclient.py b/nonebot_plugin_llmchat/mcpclient.py deleted file mode 100644 index 55e1b44..0000000 --- a/nonebot_plugin_llmchat/mcpclient.py +++ /dev/null @@ -1,83 +0,0 @@ -import asyncio -from contextlib import AsyncExitStack - -from mcp import ClientSession, StdioServerParameters -from mcp.client.sse import sse_client -from mcp.client.stdio import stdio_client -from nonebot import logger - -from .config import MCPServerConfig - - -class MCPClient: - def __init__(self, server_config: dict[str, MCPServerConfig]): - logger.info(f"正在初始化MCPClient，共有{len(server_config)}个服务器配置") - self.server_config = server_config - self.sessions = {} - self.exit_stack = AsyncExitStack() - logger.debug("MCPClient初始化成功") - - async def connect_to_servers(self): - logger.info(f"开始连接{len(self.server_config)}个MCP服务器") - for server_name, config in self.server_config.items(): - logger.debug(f"正在连接服务器[{server_name}]") - if config.url: - sse_transport = await self.exit_stack.enter_async_context(sse_client(url=config.url)) - read, write = sse_transport - self.sessions[server_name] = await self.exit_stack.enter_async_context(ClientSession(read, write)) - await self.sessions[server_name].initialize() - elif config.command: - stdio_transport = await self.exit_stack.enter_async_context( - stdio_client(StdioServerParameters(**config.model_dump())) - ) - read, write = stdio_transport - self.sessions[server_name] = await self.exit_stack.enter_async_context(ClientSession(read, write)) - await self.sessions[server_name].initialize() - else: - raise ValueError("Server config must have either url or command") - - logger.info(f"已成功连接到MCP服务器[{server_name}]") - - async def get_available_tools(self): - logger.info(f"正在从{len(self.sessions)}个已连接的服务器获取可用工具") - available_tools = [] - - for server_name, session in self.sessions.items(): - logger.debug(f"正在列出服务器[{server_name}]中的工具") - response = await session.list_tools() - tools = response.tools - logger.debug(f"在服务器[{server_name}]中找到{len(tools)}个工具") - - available_tools.extend( - { - "type": "function", - "function": { - "name": f"{server_name}___{tool.name}", - "description": tool.description, - "parameters": tool.inputSchema, - }, - } - for tool in tools - ) - return available_tools - - async def call_tool(self, tool_name: str, tool_args: dict): - server_name, real_tool_name = tool_name.split("___") - logger.info(f"正在服务器[{server_name}]上调用工具[{real_tool_name}]") - session = self.sessions[server_name] - try: - response = await asyncio.wait_for(session.call_tool(real_tool_name, tool_args), timeout=30) - except asyncio.TimeoutError: - logger.error(f"调用工具[{real_tool_name}]超时") - return f"调用工具[{real_tool_name}]超时" - logger.debug(f"工具[{real_tool_name}]调用完成，响应: {response}") - return response.content - - def get_friendly_name(self, tool_name: str): - server_name, real_tool_name = tool_name.split("___") - return (self.server_config[server_name].friendly_name or server_name) + " - " + real_tool_name - - async def cleanup(self): - logger.debug("正在清理MCPClient资源") - await self.exit_stack.aclose() - logger.debug("MCPClient资源清理完成") diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index 50d98ce..0000000 --- a/poetry.lock +++ /dev/null @@ -1,1523 +0,0 @@ -# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand. - 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