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dify-on-wechat
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master
Han Fangyuan 2024-02-07 20:28:20 +08:00
parent 4d050f05bc 5346dfdd8b
commit 4547552c27
16 changed files with 344 additions and 45 deletions
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6
README.md
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@ -1,13 +1,13 @@
# 简介
> 本项目是基于大模型的智能对话机器人，支持微信、企业微信、公众号、飞书、钉钉接入，可选择GPT3.5/GPT4.0/Claude/文心一言/讯飞星火/通义千问/Gemini/LinkAI，能处理文本、语音和图片，通过插件访问操作系统和互联网等外部资源，支持基于自有知识库定制企业AI应用。
> 本项目是基于大模型的智能对话机器人，支持微信、企业微信、公众号、飞书、钉钉接入，可选择GPT3.5/GPT4.0/Claude/文心一言/讯飞星火/通义千问/Gemini/LinkAI/ZhipuAI，能处理文本、语音和图片，通过插件访问操作系统和互联网等外部资源，支持基于自有知识库定制企业AI应用。
最新版本支持的功能如下：
- [x] **多端部署：** 有多种部署方式可选择且功能完备，目前已支持个人微信、微信公众号和、企业微信、飞书、钉钉等部署方式
- [x] **基础对话：** 私聊及群聊的消息智能回复，支持多轮会话上下文记忆，支持 GPT-3.5, GPT-4, claude, Gemini, 文心一言, 讯飞星火, 通义千问
- [x] **基础对话：** 私聊及群聊的消息智能回复，支持多轮会话上下文记忆，支持 GPT-3.5, GPT-4, claude, Gemini, 文心一言, 讯飞星火, 通义千问，ChatGLM
- [x] **语音能力：** 可识别语音消息，通过文字或语音回复，支持 azure, baidu, google, openai(whisper/tts) 等多种语音模型
- [x] **图像能力：** 支持图片生成、图片识别、图生图（如照片修复），可选择 Dall-E-3, stable diffusion, replicate, midjourney, vision模型
- [x] **图像能力：** 支持图片生成、图片识别、图生图（如照片修复），可选择 Dall-E-3, stable diffusion, replicate, midjourney, CogView-3, vision模型
- [x] **丰富插件：** 支持个性化插件扩展，已实现多角色切换、文字冒险、敏感词过滤、聊天记录总结、文档总结和对话、联网搜索等插件
- [x] **知识库：** 通过上传知识库文件自定义专属机器人，可作为数字分身、智能客服、私域助手使用，基于 [LinkAI](https://link-ai.tech) 实现

33
app.py
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@ -3,6 +3,7 @@
import os
import signal
import sys
import time
from channel import channel_factory
from common import const
@ -24,6 +25,21 @@ def sigterm_handler_wrap(_signo):
signal.signal(_signo, func)
def start_channel(channel_name: str):
channel = channel_factory.create_channel(channel_name)
if channel_name in ["wx", "wxy", "terminal", "wechatmp", "wechatmp_service", "wechatcom_app", "wework",
const.FEISHU, const.DINGTALK]:
PluginManager().load_plugins()
if conf().get("use_linkai"):
try:
from common import linkai_client
threading.Thread(target=linkai_client.start, args=(channel,)).start()
except Exception as e:
pass
channel.startup()
def run():
try:
# load config
@ -41,22 +57,11 @@ def run():
if channel_name == "wxy":
os.environ["WECHATY_LOG"] = "warn"
# os.environ['WECHATY_PUPPET_SERVICE_ENDPOINT'] = '127.0.0.1:9001'
channel = channel_factory.create_channel(channel_name)
if channel_name in ["wx", "wxy", "terminal", "wechatmp", "wechatmp_service", "wechatcom_app", "wework", const.FEISHU,const.DINGTALK]:
PluginManager().load_plugins()
if conf().get("use_linkai"):
try:
from common import linkai_client
threading.Thread(target=linkai_client.start, args=(channel, )).start()
except Exception as e:
pass
# startup channel
channel.startup()
start_channel(channel_name)
while True:
time.sleep(1)
except Exception as e:
logger.error("App startup failed!")
logger.exception(e)

5
bot/bot_factory.py
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@ -56,4 +56,9 @@ def create_bot(bot_type):
from bot.dify.dify_bot import DifyBot
return DifyBot()
elif bot_type == const.ZHIPU_AI:
from bot.zhipuai.zhipuai_bot import ZHIPUAIBot
return ZHIPUAIBot()
raise RuntimeError

2
bot/linkai/link_ai_bot.py
View File

@ -400,7 +400,7 @@ class LinkAIBot(Bot):
i += 1
if url.endswith(".mp4"):
reply_type = ReplyType.VIDEO_URL
elif url.endswith(".pdf") or url.endswith(".doc") or url.endswith(".docx"):
elif url.endswith(".pdf") or url.endswith(".doc") or url.endswith(".docx") or url.endswith(".csv"):
reply_type = ReplyType.FILE
url = _download_file(url)
if not url:

29
bot/zhipuai/zhipu_ai_image.py Normal file
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@ -0,0 +1,29 @@
from common.log import logger
from config import conf
# ZhipuAI提供的画图接口
class ZhipuAIImage(object):
def __init__(self):
from zhipuai import ZhipuAI
self.client = ZhipuAI(api_key=conf().get("zhipu_ai_api_key"))
def create_img(self, query, retry_count=0, api_key=None, api_base=None):
try:
if conf().get("rate_limit_dalle"):
return False, "请求太快了，请休息一下再问我吧"
logger.info("[ZHIPU_AI] image_query={}".format(query))
response = self.client.images.generations(
prompt=query,
n=1, # 每次生成图片的数量
model=conf().get("text_to_image") or "cogview-3",
size=conf().get("image_create_size", "1024x1024"), # 图片大小,可选有 256x256, 512x512, 1024x1024
quality="standard",
)
image_url = response.data[0].url
logger.info("[ZHIPU_AI] image_url={}".format(image_url))
return True, image_url
except Exception as e:
logger.exception(e)
return False, "画图出现问题，请休息一下再问我吧"

51
bot/zhipuai/zhipu_ai_session.py Normal file
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@ -0,0 +1,51 @@
from bot.session_manager import Session
from common.log import logger
class ZhipuAISession(Session):
def __init__(self, session_id, system_prompt=None, model="glm-4"):
super().__init__(session_id, system_prompt)
self.model = model
self.reset()
def discard_exceeding(self, max_tokens, cur_tokens=None):
precise = True
try:
cur_tokens = self.calc_tokens()
except Exception as e:
precise = False
if cur_tokens is None:
raise e
logger.debug("Exception when counting tokens precisely for query: {}".format(e))
while cur_tokens > max_tokens:
if len(self.messages) > 2:
self.messages.pop(1)
elif len(self.messages) == 2 and self.messages[1]["role"] == "assistant":
self.messages.pop(1)
if precise:
cur_tokens = self.calc_tokens()
else:
cur_tokens = cur_tokens - max_tokens
break
elif len(self.messages) == 2 and self.messages[1]["role"] == "user":
logger.warn("user message exceed max_tokens. total_tokens={}".format(cur_tokens))
break
else:
logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(max_tokens, cur_tokens,
len(self.messages)))
break
if precise:
cur_tokens = self.calc_tokens()
else:
cur_tokens = cur_tokens - max_tokens
return cur_tokens
def calc_tokens(self):
return num_tokens_from_messages(self.messages, self.model)
def num_tokens_from_messages(messages, model):
tokens = 0
for msg in messages:
tokens += len(msg["content"])
return tokens

149
bot/zhipuai/zhipuai_bot.py Normal file
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@ -0,0 +1,149 @@
# encoding:utf-8
import time
import openai
import openai.error
from bot.bot import Bot
from bot.zhipuai.zhipu_ai_session import ZhipuAISession
from bot.zhipuai.zhipu_ai_image import ZhipuAIImage
from bot.session_manager import SessionManager
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from common.log import logger
from config import conf, load_config
from zhipuai import ZhipuAI
# ZhipuAI对话模型API
class ZHIPUAIBot(Bot, ZhipuAIImage):
def __init__(self):
super().__init__()
self.sessions = SessionManager(ZhipuAISession, model=conf().get("model") or "ZHIPU_AI")
self.args = {
"model": conf().get("model") or "glm-4", # 对话模型的名称
"temperature": conf().get("temperature", 0.9), # 值在(0,1)之间(智谱AI 的温度不能取 0 或者 1)
"top_p": conf().get("top_p", 0.7), # 值在(0,1)之间(智谱AI 的 top_p 不能取 0 或者 1)
}
self.client = ZhipuAI(api_key=conf().get("zhipu_ai_api_key"))
def reply(self, query, context=None):
# acquire reply content
if context.type == ContextType.TEXT:
logger.info("[ZHIPU_AI] query={}".format(query))
session_id = context["session_id"]
reply = None
clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
if query in clear_memory_commands:
self.sessions.clear_session(session_id)
reply = Reply(ReplyType.INFO, "记忆已清除")
elif query == "#清除所有":
self.sessions.clear_all_session()
reply = Reply(ReplyType.INFO, "所有人记忆已清除")
elif query == "#更新配置":
load_config()
reply = Reply(ReplyType.INFO, "配置已更新")
if reply:
return reply
session = self.sessions.session_query(query, session_id)
logger.debug("[ZHIPU_AI] session query={}".format(session.messages))
api_key = context.get("openai_api_key") or openai.api_key
model = context.get("gpt_model")
new_args = None
if model:
new_args = self.args.copy()
new_args["model"] = model
# if context.get('stream'):
# # reply in stream
# return self.reply_text_stream(query, new_query, session_id)
reply_content = self.reply_text(session, api_key, args=new_args)
logger.debug(
"[ZHIPU_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
session.messages,
session_id,
reply_content["content"],
reply_content["completion_tokens"],
)
)
if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
reply = Reply(ReplyType.ERROR, reply_content["content"])
elif reply_content["completion_tokens"] > 0:
self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
reply = Reply(ReplyType.TEXT, reply_content["content"])
else:
reply = Reply(ReplyType.ERROR, reply_content["content"])
logger.debug("[ZHIPU_AI] reply {} used 0 tokens.".format(reply_content))
return reply
elif context.type == ContextType.IMAGE_CREATE:
ok, retstring = self.create_img(query, 0)
reply = None
if ok:
reply = Reply(ReplyType.IMAGE_URL, retstring)
else:
reply = Reply(ReplyType.ERROR, retstring)
return reply
else:
reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
return reply
def reply_text(self, session: ZhipuAISession, api_key=None, args=None, retry_count=0) -> dict:
"""
call openai's ChatCompletion to get the answer
:param session: a conversation session
:param session_id: session id
:param retry_count: retry count
:return: {}
"""
try:
# if conf().get("rate_limit_chatgpt") and not self.tb4chatgpt.get_token():
# raise openai.error.RateLimitError("RateLimitError: rate limit exceeded")
# if api_key == None, the default openai.api_key will be used
if args is None:
args = self.args
# response = openai.ChatCompletion.create(api_key=api_key, messages=session.messages, **args)
response = self.client.chat.completions.create(messages=session.messages, **args)
# logger.debug("[ZHIPU_AI] response={}".format(response))
# logger.info("[ZHIPU_AI] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
return {
"total_tokens": response.usage.total_tokens,
"completion_tokens": response.usage.completion_tokens,
"content": response.choices[0].message.content,
}
except Exception as e:
need_retry = retry_count < 2
result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
if isinstance(e, openai.error.RateLimitError):
logger.warn("[ZHIPU_AI] RateLimitError: {}".format(e))
result["content"] = "提问太快啦，请休息一下再问我吧"
if need_retry:
time.sleep(20)
elif isinstance(e, openai.error.Timeout):
logger.warn("[ZHIPU_AI] Timeout: {}".format(e))
result["content"] = "我没有收到你的消息"
if need_retry:
time.sleep(5)
elif isinstance(e, openai.error.APIError):
logger.warn("[ZHIPU_AI] Bad Gateway: {}".format(e))
result["content"] = "请再问我一次"
if need_retry:
time.sleep(10)
elif isinstance(e, openai.error.APIConnectionError):
logger.warn("[ZHIPU_AI] APIConnectionError: {}".format(e))
result["content"] = "我连接不到你的网络"
if need_retry:
time.sleep(5)
else:
logger.exception("[ZHIPU_AI] Exception: {}".format(e), e)
need_retry = False
self.sessions.clear_session(session.session_id)
if need_retry:
logger.warn("[ZHIPU_AI] 第{}次重试".format(retry_count + 1))
return self.reply_text(session, api_key, args, retry_count + 1)
else:
return result

2
bridge/bridge.py
View File

@ -33,6 +33,8 @@ class Bridge(object):
self.btype["chat"] = const.GEMINI
if model_type in [const.DIFY]:
self.btype["chat"] = const.DIFY
if model_type in [const.ZHIPU_AI]:
self.btype["chat"] = const.ZHIPU_AI
if conf().get("use_linkai") and conf().get("linkai_api_key"):
self.btype["chat"] = const.LINKAI

6
channel/chat_channel.py
View File

@ -4,6 +4,7 @@ import threading
import time
from asyncio import CancelledError
from concurrent.futures import Future, ThreadPoolExecutor
from concurrent import futures
from bridge.context import *
from bridge.reply import *
@ -17,6 +18,8 @@ try:
except Exception as e:
pass
handler_pool = ThreadPoolExecutor(max_workers=8) # 处理消息的线程池
# 抽象类, 它包含了与消息通道无关的通用处理逻辑
class ChatChannel(Channel):
@ -25,7 +28,6 @@ class ChatChannel(Channel):
futures = {} # 记录每个session_id提交到线程池的future对象, 用于重置会话时把没执行的future取消掉，正在执行的不会被取消
sessions = {} # 用于控制并发，每个session_id同时只能有一个context在处理
lock = threading.Lock() # 用于控制对sessions的访问
handler_pool = ThreadPoolExecutor(max_workers=8) # 处理消息的线程池
def __init__(self):
_thread = threading.Thread(target=self.consume)
@ -339,7 +341,7 @@ class ChatChannel(Channel):
if not context_queue.empty():
context = context_queue.get()
logger.debug("[WX] consume context: {}".format(context))
future: Future = self.handler_pool.submit(self._handle, context)
future: Future = handler_pool.submit(self._handle, context)
future.add_done_callback(self._thread_pool_callback(session_id, context=context))
if session_id not in self.futures:
self.futures[session_id] = []

56
channel/wechat/wechat_channel.py
View File

@ -15,6 +15,7 @@ import requests
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel import chat_channel
from channel.wechat.wechat_message import *
from common.expired_dict import ExpiredDict
from common.log import logger
@ -112,30 +113,39 @@ class WechatChannel(ChatChannel):
self.auto_login_times = 0
def startup(self):
itchat.instance.receivingRetryCount = 600 # 修改断线超时时间
# login by scan QRCode
hotReload = conf().get("hot_reload", False)
status_path = os.path.join(get_appdata_dir(), "itchat.pkl")
itchat.auto_login(
enableCmdQR=2,
hotReload=hotReload,
statusStorageDir=status_path,
qrCallback=qrCallback,
exitCallback=self.exitCallback,
loginCallback=self.loginCallback
)
self.user_id = itchat.instance.storageClass.userName
self.name = itchat.instance.storageClass.nickName
logger.info("Wechat login success, user_id: {}, nickname: {}".format(self.user_id, self.name))
# start message listener
itchat.run()
try:
itchat.instance.receivingRetryCount = 600 # 修改断线超时时间
# login by scan QRCode
hotReload = conf().get("hot_reload", False)
status_path = os.path.join(get_appdata_dir(), "itchat.pkl")
itchat.auto_login(
enableCmdQR=2,
hotReload=hotReload,
statusStorageDir=status_path,
qrCallback=qrCallback,
exitCallback=self.exitCallback,
loginCallback=self.loginCallback
)
self.user_id = itchat.instance.storageClass.userName
self.name = itchat.instance.storageClass.nickName
logger.info("Wechat login success, user_id: {}, nickname: {}".format(self.user_id, self.name))
# start message listener
itchat.run()
except Exception as e:
logger.error(e)
def exitCallback(self):
_send_logout()
time.sleep(3)
self.auto_login_times += 1
if self.auto_login_times < 100:
self.startup()
try:
from common.linkai_client import chat_client
if chat_client.client_id and conf().get("use_linkai"):
_send_logout()
time.sleep(2)
self.auto_login_times += 1
if self.auto_login_times < 100:
chat_channel.handler_pool._shutdown = False
self.startup()
except Exception as e:
pass
def loginCallback(self):
logger.debug("Login success")
@ -259,7 +269,6 @@ def _send_login_success():
def _send_logout():
try:
from common.linkai_client import chat_client
time.sleep(2)
if chat_client.client_id:
chat_client.send_logout()
except Exception as e:
@ -268,7 +277,6 @@ def _send_logout():
def _send_qr_code(qrcode_list: list):
try:
from common.linkai_client import chat_client
time.sleep(2)
if chat_client.client_id:
chat_client.send_qrcode(qrcode_list)
except Exception as e:

6
common/const.py
View File

@ -9,6 +9,8 @@ CLAUDEAI = "claude"
QWEN = "qwen"
GEMINI = "gemini"
DIFY = "dify"
ZHIPU_AI = "glm-4"
# model
GPT35 = "gpt-3.5-turbo"
@ -20,7 +22,11 @@ TTS_1 = "tts-1"
TTS_1_HD = "tts-1-hd"
MODEL_LIST = ["gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-4", "wenxin", "wenxin-4", "xunfei", "claude", "gpt-4-turbo",
<<<<<<< HEAD
"gpt-4-turbo-preview", "gpt-4-1106-preview", GPT4_TURBO_PREVIEW, QWEN, GEMINI, DIFY]
=======
"gpt-4-turbo-preview", "gpt-4-1106-preview", GPT4_TURBO_PREVIEW, QWEN, GEMINI, ZHIPU_AI]
>>>>>>> master
# channel
FEISHU = "feishu"

27
common/linkai_client.py
View File

@ -2,7 +2,9 @@ from bridge.context import Context, ContextType
from bridge.reply import Reply, ReplyType
from common.log import logger
from linkai import LinkAIClient, PushMsg
from config import conf
from config import conf, pconf, plugin_config
from plugins import PluginManager
chat_client: LinkAIClient
@ -22,6 +24,29 @@ class ChatClient(LinkAIClient):
context["isgroup"] = push_msg.is_group
self.channel.send(Reply(ReplyType.TEXT, content=msg_content), context)
def on_config(self, config: dict):
if not self.client_id:
return
logger.info(f"从控制台加载配置: {config}")
local_config = conf()
for key in local_config.keys():
if config.get(key) is not None:
local_config[key] = config.get(key)
if config.get("reply_voice_mode"):
if config.get("reply_voice_mode") == "voice_reply_voice":
local_config["voice_reply_voice"] = True
elif config.get("reply_voice_mode") == "always_reply_voice":
local_config["always_reply_voice"] = True
# if config.get("admin_password") and plugin_config["Godcmd"]:
# plugin_config["Godcmd"]["password"] = config.get("admin_password")
# PluginManager().instances["Godcmd"].reload()
# if config.get("group_app_map") and pconf("linkai"):
# local_group_map = {}
# for mapping in config.get("group_app_map"):
# local_group_map[mapping.get("group_name")] = mapping.get("app_code")
# pconf("linkai")["group_app_map"] = local_group_map
# PluginManager().instances["linkai"].reload()
def start(channel):
global chat_client

3
config.py
View File

@ -154,6 +154,9 @@ available_setting = {
"use_global_plugin_config": False,
"max_media_send_count": 3, # 单次最大发送媒体资源的个数
"media_send_interval": 1, # 发送图片的事件间隔，单位秒
# 智谱AI 平台配置
"zhipu_ai_api_key": "",
"zhipu_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
# LinkAI平台配置
"use_linkai": False,
"linkai_api_key": "",

8
plugins/godcmd/godcmd.py
View File

@ -475,3 +475,11 @@ class Godcmd(Plugin):
if model == "gpt-4-turbo":
return const.GPT4_TURBO_PREVIEW
return model
def reload(self):
gconf = plugin_config[self.name]
if gconf:
if gconf.get("password"):
self.password = gconf["password"]
if gconf.get("admin_users"):
self.admin_users = gconf["admin_users"]

3
plugins/plugin.py
View File

@ -46,3 +46,6 @@ class Plugin:
def get_help_text(self, **kwargs):
return "暂无帮助信息"
def reload(self):
pass

3
requirements-optional.txt
View File

@ -37,3 +37,6 @@ linkai
# dingtalk
dingtalk_stream
# zhipuai
zhipuai>=2.0.1