diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000..6d58dd8 --- /dev/null +++ b/.editorconfig @@ -0,0 +1,32 @@ +# 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 new file mode 100644 index 0000000..33816c5 --- /dev/null +++ b/.github/actions/setup-python/action.yml @@ -0,0 +1,23 @@ +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: ${{ inputs.python-version }} + cache: "poetry" + + - run: poetry install --all-extras + shell: bash diff --git a/.github/workflows/pyright.yml b/.github/workflows/pyright.yml new file mode 100644 index 0000000..4cd27b0 --- /dev/null +++ b/.github/workflows/pyright.yml @@ -0,0 +1,33 @@ +name: Pyright Lint + +on: + push: + branches: + - main + pull_request: + paths: + - "nonebot_plugin_llmchat/**" + - ".github/workflows/pyright.yml" + - "pyproject.toml" + - "poetry.lock" + +jobs: + pyright: + name: Pyright Lint + runs-on: ubuntu-latest + concurrency: + group: lint-${{ 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" >> $GITHUB_PATH + + - name: Run Pyright + uses: jakebailey/pyright-action@v2 + with: + pylance-version: latest-release diff --git a/.github/workflows/ruff.yml b/.github/workflows/ruff.yml new file mode 100644 index 0000000..b0f1edd --- /dev/null +++ b/.github/workflows/ruff.yml @@ -0,0 +1,26 @@ +name: Ruff Lint + +on: + push: + branches: + - main + pull_request: + paths: + - "nonebot_plugin_llmchat/**" + - ".github/workflows/ruff.yml" + - "pyproject.toml" + - "poetry.lock" + +jobs: + ruff: + name: Ruff Lint + runs-on: ubuntu-latest + concurrency: + group: lint-${{ 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 new file mode 100644 index 0000000..4450573 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,22 @@ +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 880303d..356effc 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ # nonebot-plugin-llmchat -_✨ 支持多API预设配置的AI群聊插件 ✨_ +_✨ 支持多API预设、MCP协议、联网搜索、视觉模型的AI群聊插件 ✨_ @@ -17,33 +17,39 @@ _✨ 支持多API预设配置的AI群聊插件 ✨_ pypi -python +python +Ask DeepWiki ## 📖 介绍 -1. **多API预设支持** +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** - 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） -2. **多种回复触发方式** +3. **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 -3. **分群聊上下文记忆管理** +4. **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 -4. **分段回复支持** +5. **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） -5. **可自定义性格** +6. **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 @@ -99,10 +105,12 @@ _✨ 支持多API预设配置的AI群聊插件 ✨_ | 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_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_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_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 | @@ -113,11 +121,29 @@ _✨ 支持多API预设配置的AI群聊插件 ✨_ | 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"] + 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=' @@ -126,21 +152,47 @@ _✨ 支持多API预设配置的AI群聊插件 ✨_ "name": "aliyun-deepseek-v3", "api_key": "sk-your-api-key", "model_name": "deepseek-v3", - "api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1" + "api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1", + "proxy": "http://10.0.0.183:7890" }, { - "name": "deepseek-r1", + "name": "deepseek-v1", "api_key": "sk-your-api-key", - "model_name": "deepseek-reasoner", - "api_base": "https://api.deepseek.com" + "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 } ] + 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 -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。 +**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。 ### 指令表 @@ -152,6 +204,8 @@ _✨ 支持多API预设配置的AI群聊插件 ✨_ | 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/demo.png) \ No newline at end of file +![](img/mcp_demo.jpg) +![](img/demo.png) diff --git a/img/mcp_demo.jpg b/img/mcp_demo.jpg new file mode 100644 index 0000000..159954c Binary files /dev/null and b/img/mcp_demo.jpg differ diff --git a/nonebot_plugin_llmchat/__init__.py b/nonebot_plugin_llmchat/__init__.py old mode 100644 new mode 100755 index d8e9baa..d3c6605 --- a/nonebot_plugin_llmchat/__init__.py +++ b/nonebot_plugin_llmchat/__init__.py @@ -1,27 +1,52 @@ -import aiofiles -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.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 -import time +import base64 +from collections import defaultdict, deque +from datetime import datetime import json import os import random -from apscheduler.schedulers.asyncio import AsyncIOScheduler +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.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 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, + ) __plugin_meta__ = PluginMetadata( name="llmchat", - description="支持多API预设配置的AI群聊插件", + description="支持多API预设、MCP协议、联网搜索、视觉模型的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", @@ -29,39 +54,62 @@ __plugin_meta__ = PluginMetadata( supported_adapters={"~onebot.v11"}, ) -pluginConfig = get_plugin_config(Config).llmchat +plugin_config = 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 = pluginConfig.default_preset - self.history = deque(maxlen=pluginConfig.history_size) + self.preset_name = plugin_config.default_preset + self.history = deque(maxlen=plugin_config.history_size * 2) self.queue = asyncio.Queue() self.processing = False self.last_active = time.time() - self.past_events = deque(maxlen=pluginConfig.past_events_size) - self.group_prompt = None + self.past_events = deque(maxlen=plugin_config.past_events_size) + self.group_prompt: str | None = 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 pluginConfig.api_presets: + for preset in plugin_config.api_presets: if preset.name == state.preset_name: return preset - return pluginConfig.api_presets[0] # 默认返回第一个预设 + return plugin_config.api_presets[0] # 默认返回第一个预设 + # 消息格式转换 -def format_message(event: GroupMessageEvent) -> Dict: +def format_message(event: GroupMessageEvent) -> str: text_message = "" - if event.reply != None: + if event.reply is not 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"@{list(driver.config.nickname)[0]} " + text_message += f"@{next(iter(driver.config.nickname))} " for msgseg in event.get_message(): if msgseg.type == "at": @@ -75,258 +123,482 @@ def format_message(event: GroupMessageEvent) -> Dict: 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, - "SendTime" : datetime.fromtimestamp(event.time).isoformat() + "MessageID": event.message_id, + "SendTime": datetime.fromtimestamp(event.time).isoformat(), } return json.dumps(message, ensure_ascii=False) -async def isTriggered(event: GroupMessageEvent) -> bool: - """扩展后的消息处理规则""" - - group_id = 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] +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: + """扩展后的消息处理规则""" + + state = group_states[event.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() < pluginConfig.random_trigger_prob: + if random.random() < state.random_trigger_prob: return True - + return False # 消息处理器 handler = on_message( - rule=Rule(isTriggered), - priority=10, + rule=Rule(is_triggered), + priority=99, 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 - asyncio.create_task(process_messages(group_id)) + 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)) async def process_messages(group_id: int): state = group_states[group_id] preset = get_preset(group_id) - + # 初始化OpenAI客户端 - client = AsyncOpenAI( - base_url=preset.api_base, - api_key=preset.api_key, - timeout=pluginConfig.request_timeout + 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()}" ) - - 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格式，聊天软件不支持markdown解析。 +- 不要使用markdown或者html，聊天软件不支持解析，换行请用换行符。 - 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 pluginConfig.default_prompt} -''' - ) +{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" - messages = [{"role": "system", "content": systemPrompt}] + messages: list[ChatCompletionMessageParam] = [ + {"role": "system", "content": systemPrompt} + ] - messages += list(state.history)[-pluginConfig.history_size:] + while len(state.history) > 0 and state.history[0]["role"] != "user": + state.history.popleft() + + messages += list(state.history)[-plugin_config.history_size * 2 :] # 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 - content = ",".join([format_message(ev) for ev in state.past_events]) + 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}) - 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( - model=preset.model_name, - messages=messages + [{"role": "user", "content": content}], - max_tokens=preset.max_tokens, - temperature=preset.temperature, - timeout=60 + # 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)}" ) - logger.debug(f"收到API响应 使用token数：{response.usage.total_tokens}") - reply = response.choices[0].message.content + client_config = { + "model": preset.model_name, + "max_tokens": preset.max_tokens, + "temperature": preset.temperature, + "timeout": 60, + } - # 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() + 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 - 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)) + response = await client.chat.completions.create( + **client_config, + messages=messages + new_messages, + ) - 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({ + if response.usage is not None: + logger.debug(f"收到API响应 使用token数：{response.usage.total_tokens}") + + message = response.choices[0].message + + # 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] + }) + + # 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({ "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.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)}")) + 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}")) 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(f"已关闭llmchat") + await preset_handler.finish("已关闭llmchat") - available_presets = {p.name for p in pluginConfig.api_presets} + available_presets = {p.name for p in plugin_config.api_presets} if preset_name not in 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- {'\n- '.join(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}" + ) + group_states[group_id].preset_name = preset_name await preset_handler.finish(f"已切换至API预设：{preset_name}") -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()): + +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()): 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 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)) + 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), +) + + @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 preset_handler.finish(f"记忆已清空") + 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}") + # 预设切换命令 -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") +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" + ) # 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：{pluginConfig.storage_path}") + logger.info(f"开始保存群组状态到文件：{data_file}") 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 + "output_reasoning_content": state.output_reasoning_content, + "random_trigger_prob": state.random_trigger_prob, } for gid, state in group_states.items() } - - os.makedirs(os.path.dirname(pluginConfig.storage_path), exist_ok=True) - async with aiofiles.open(pluginConfig.storage_path, "w") as f: + + os.makedirs(os.path.dirname(data_file), exist_ok=True) + async with aiofiles.open(data_file, "w", encoding="utf8") 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：{pluginConfig.storage_path}") - if not os.path.exists(pluginConfig.storage_path): + logger.info(f"从文件加载群组状态：{data_file}") + if not os.path.exists(data_file): return - - async with aiofiles.open(pluginConfig.storage_path, "r") as f: + + async with aiofiles.open(data_file, encoding="utf8") 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=pluginConfig.history_size) + state.history = deque( + state_data["history"], maxlen=plugin_config.history_size * 2 + ) 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.start() + scheduler.add_job(save_state, "interval", minutes=5) + @driver.on_shutdown async def cleanup_plugin(): diff --git a/nonebot_plugin_llmchat/config.py b/nonebot_plugin_llmchat/config.py old mode 100644 new mode 100755 index b9abfd4..d658875 --- a/nonebot_plugin_llmchat/config.py +++ b/nonebot_plugin_llmchat/config.py @@ -1,25 +1,54 @@ 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]") - 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") + 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" + ) + class Config(BaseModel): llmchat: ScopedConfig diff --git a/nonebot_plugin_llmchat/mcpclient.py b/nonebot_plugin_llmchat/mcpclient.py new file mode 100644 index 0000000..55e1b44 --- /dev/null +++ b/nonebot_plugin_llmchat/mcpclient.py @@ -0,0 +1,83 @@ +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 new file mode 100644 index 0000000..50d98ce --- /dev/null +++ b/poetry.lock @@ -0,0 +1,1523 @@ +# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand. + +[[package]] +name = "aiofiles" +version = "24.1.0" +description = "File support for asyncio." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "aiofiles-24.1.0-py3-none-any.whl", hash 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