Merge pull request #1851 from wayshall/qwen-dashscope

feat: 通义千问使用新版的sdk实现

README.md

@@ -1,11 +1,11 @@
 # 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/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。
+> 本项目是基于大模型的智能对话机器人，支持企业微信、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，ChatGLM
+- [x] **多端部署：** 有多种部署方式可选择且功能完备，目前已支持微信生态下公众号、企业微信应用、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-3, Gemini, 文心一言, 讯飞星火, 通义千问，ChatGLM-4
 - [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, 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
@@ -23,7 +23,6 @@ Demo made by [Visionn](https://www.wangpc.cc/)
 SaaS服务、私有化部署、稳定托管接入 等多种模式。
 >
 > 目前已在私域运营、智能客服、企业效率助手等场景积累了丰富的 AI 解决方案， 在电商、文教、健康、新消费等各行业沉淀了 AI 落地的最佳实践，致力于打造助力中小企业拥抱 AI 的一站式平台。
-
 企业服务和商用咨询可联系产品顾问：
 
 <img width="240" src="https://img-1317903499.cos.ap-guangzhou.myqcloud.com/docs/product-manager-qrcode.jpg">
@@ -36,7 +35,11 @@ SaaS服务、私有化部署、稳定托管接入 等多种模式。
 
 # 更新日志
 
->**2023.11.11：** [1.5.3版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.3) 和 [1.5.4版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.4)，新增Google Gemini、通义千问模型
+>**2024.03.26：** [1.5.8版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.8) 和 [1.5.7版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.7)，新增 GLM-4、Claude-3 模型，edge-tts 语音支持
+
+>**2024.01.26：** [1.5.6版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.6) 和 [1.5.5版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.5)，钉钉接入，tool插件升级，4-turbo模型更新
+
+>**2023.11.11：** [1.5.3版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.3) 和 [1.5.4版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.4)，新增通义千问模型、Google Gemini
 
 >**2023.11.10：** [1.5.2版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.2)，新增飞书通道、图像识别对话、黑名单配置
 
@@ -48,19 +51,9 @@ SaaS服务、私有化部署、稳定托管接入 等多种模式。
 
 >**2023.08.08：** 接入百度文心一言模型，通过 [插件](https://github.com/zhayujie/chatgpt-on-wechat/tree/master/plugins/linkai) 支持 Midjourney 绘图
 
->**2023.06.12：** 接入 [LinkAI](https://link-ai.tech/console) 平台，可在线创建领域知识库，并接入微信、公众号及企业微信中，打造专属客服机器人。使用参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。
+>**2023.06.12：** 接入 [LinkAI](https://link-ai.tech/console) 平台，可在线创建领域知识库，打造专属客服机器人。使用参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。
 
->**2023.04.26：** 支持企业微信应用号部署，兼容插件，并支持语音图片交互，私人助理理想选择，[使用文档](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/channel/wechatcom/README.md)。(contributed by [@lanvent](https://github.com/lanvent) in [#944](https://github.com/zhayujie/chatgpt-on-wechat/pull/944))
-
->**2023.04.05：** 支持微信公众号部署，兼容插件，并支持语音图片交互，[使用文档](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/channel/wechatmp/README.md)。(contributed by [@JS00000](https://github.com/JS00000) in [#686](https://github.com/zhayujie/chatgpt-on-wechat/pull/686))
-
->**2023.04.05：** 增加能让ChatGPT使用工具的`tool`插件，[使用文档](https://github.com/goldfishh/chatgpt-on-wechat/blob/master/plugins/tool/README.md)。工具相关issue可反馈至[chatgpt-tool-hub](https://github.com/goldfishh/chatgpt-tool-hub)。(contributed by [@goldfishh](https://github.com/goldfishh) in [#663](https://github.com/zhayujie/chatgpt-on-wechat/pull/663))
-
->**2023.03.25：** 支持插件化开发，目前已实现 多角色切换、文字冒险游戏、管理员指令、Stable Diffusion等插件，使用参考 [#578](https://github.com/zhayujie/chatgpt-on-wechat/issues/578)。(contributed by [@lanvent](https://github.com/lanvent) in [#565](https://github.com/zhayujie/chatgpt-on-wechat/pull/565))
-
->**2023.03.09：** 基于 `whisper API`(后续已接入更多的语音`API`服务) 实现对微信语音消息的解析和回复，添加配置项 `"speech_recognition":true` 即可启用，使用参考 [#415](https://github.com/zhayujie/chatgpt-on-wechat/issues/415)。(contributed by [wanggang1987](https://github.com/wanggang1987) in [#385](https://github.com/zhayujie/chatgpt-on-wechat/pull/385))
-
->**2023.02.09：** 扫码登录存在账号限制风险，请谨慎使用，参考[#58](https://github.com/AutumnWhj/ChatGPT-wechat-bot/issues/158)
+更早更新日志查看: [归档日志](/docs/version/old-version.md)
 
 # 快速开始
 
@@ -119,7 +112,8 @@ pip3 install -r requirements-optional.txt
 # config.json文件内容示例
 {
   "open_ai_api_key": "YOUR API KEY",                          # 填入上面创建的 OpenAI API KEY
-  "model": "gpt-3.5-turbo",                                   # 模型名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei
+  "model": "gpt-3.5-turbo",                                   # 模型名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei, claude-3-opus-20240229
+  "claude_api_key":"YOUR API KEY"                             # 如果选用claude3模型的话，配置这个key，同时如想使用生图，语音等功能，仍需配置open_ai_api_key
   "proxy": "",                                                # 代理客户端的ip和端口，国内环境开启代理的需要填写该项，如 "127.0.0.1:7890"
   "single_chat_prefix": ["bot", "@bot"],                      # 私聊时文本需要包含该前缀才能触发机器人回复
   "single_chat_reply_prefix": "[bot] ",                       # 私聊时自动回复的前缀，用于区分真人
@@ -193,7 +187,7 @@ pip3 install -r requirements-optional.txt
 python3 app.py                                    # windows环境下该命令通常为 python app.py
 ```
 
-终端输出二维码后，使用微信进行扫码，当输出 "Start auto replying" 时表示自动回复程序已经成功运行了（注意：用于登录的微信需要在支付处已完成实名认证）。扫码登录后你的账号就成为机器人了，可以在微信手机端通过配置的关键词触发自动回复 (任意好友发送消息给你，或是自己发消息给好友)，参考[#142](https://github.com/zhayujie/chatgpt-on-wechat/issues/142)。
+终端输出二维码后，使用微信进行扫码，当输出 "Start auto replying" 时表示自动回复程序已经成功运行了（注意：用于登录的微信需要在支付处已完成实名认证）。扫码登录后你的账号就成为机器人了，可以在手机端通过配置的关键词触发自动回复 (任意好友发送消息给你，或是自己发消息给好友)，参考[#142](https://github.com/zhayujie/chatgpt-on-wechat/issues/142)。
 
 ### 2.服务器部署
 

bot/bot_factory.py

@@ -2,6 +2,7 @@
 channel factory
 """
 from common import const
+from common.log import logger
 
 
 def create_bot(bot_type):
@@ -43,11 +44,15 @@ def create_bot(bot_type):
     elif bot_type == const.CLAUDEAI:
         from bot.claude.claude_ai_bot import ClaudeAIBot
         return ClaudeAIBot()
-
+    elif bot_type == const.CLAUDEAPI:
+        from bot.claudeapi.claude_api_bot import ClaudeAPIBot
+        return ClaudeAPIBot()
     elif bot_type == const.QWEN:
         from bot.ali.ali_qwen_bot import AliQwenBot
         return AliQwenBot()
-
+    elif bot_type == const.QWEN_DASHSCOPE:
+        from bot.dashscope.dashscope_bot import DashscopeBot
+        return DashscopeBot()
     elif bot_type == const.GEMINI:
         from bot.gemini.google_gemini_bot import GoogleGeminiBot
         return GoogleGeminiBot()

bot/chatgpt/chat_gpt_session.py

@@ -62,13 +62,14 @@ def num_tokens_from_messages(messages, model):
 
     import tiktoken
 
-    if model in ["gpt-3.5-turbo-0301", "gpt-35-turbo", "gpt-3.5-turbo-1106"]:
+    if model in ["gpt-3.5-turbo-0301", "gpt-35-turbo", "gpt-3.5-turbo-1106", "moonshot"]:
         return num_tokens_from_messages(messages, model="gpt-3.5-turbo")
     elif model in ["gpt-4-0314", "gpt-4-0613", "gpt-4-32k", "gpt-4-32k-0613", "gpt-3.5-turbo-0613",
                    "gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613", "gpt-35-turbo-16k", "gpt-4-turbo-preview",
                    "gpt-4-1106-preview", const.GPT4_TURBO_PREVIEW, const.GPT4_VISION_PREVIEW]:
         return num_tokens_from_messages(messages, model="gpt-4")
-
+    elif model.startswith("claude-3"):
+        return num_tokens_from_messages(messages, model="gpt-3.5-turbo")
     try:
         encoding = tiktoken.encoding_for_model(model)
     except KeyError:

bot/claudeapi/claude_api_bot.py

@@ -0,0 +1,133 @@
+# encoding:utf-8
+
+import time
+
+import openai
+import openai.error
+import anthropic
+
+from bot.bot import Bot
+from bot.openai.open_ai_image import OpenAIImage
+from bot.chatgpt.chat_gpt_session import ChatGPTSession
+from bot.gemini.google_gemini_bot import GoogleGeminiBot
+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
+
+user_session = dict()
+
+
+# OpenAI对话模型API (可用)
+class ClaudeAPIBot(Bot, OpenAIImage):
+    def __init__(self):
+        super().__init__()
+        self.claudeClient = anthropic.Anthropic(
+            api_key=conf().get("claude_api_key")
+        )
+        openai.api_key = conf().get("open_ai_api_key")
+        if conf().get("open_ai_api_base"):
+            openai.api_base = conf().get("open_ai_api_base")
+        proxy = conf().get("proxy")
+        if proxy:
+            openai.proxy = proxy
+
+        self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "text-davinci-003")
+
+    def reply(self, query, context=None):
+        # acquire reply content
+        if context and context.type:
+            if context.type == ContextType.TEXT:
+                logger.info("[CLAUDE_API] query={}".format(query))
+                session_id = context["session_id"]
+                reply = None
+                if query == "#清除记忆":
+                    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")
+                else:
+                    session = self.sessions.session_query(query, session_id)
+                    result = self.reply_text(session)
+                    logger.info(result)
+                    total_tokens, completion_tokens, reply_content = (
+                        result["total_tokens"],
+                        result["completion_tokens"],
+                        result["content"],
+                    )
+                    logger.debug(
+                        "[CLAUDE_API] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(str(session), session_id, reply_content, completion_tokens)
+                    )
+
+                    if total_tokens == 0:
+                        reply = Reply(ReplyType.ERROR, reply_content)
+                    else:
+                        self.sessions.session_reply(reply_content, session_id, total_tokens)
+                        reply = Reply(ReplyType.TEXT, 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
+
+    def reply_text(self, session: ChatGPTSession, retry_count=0):
+        try:
+            actual_model = self._model_mapping(conf().get("model"))
+            response = self.claudeClient.messages.create(
+                model=actual_model,
+                max_tokens=1024,
+                # system=conf().get("system"),
+                messages=GoogleGeminiBot.filter_messages(session.messages)
+            )
+            # response = openai.Completion.create(prompt=str(session), **self.args)
+            res_content = response.content[0].text.strip().replace("<|endoftext|>", "")
+            total_tokens = response.usage.input_tokens+response.usage.output_tokens
+            completion_tokens = response.usage.output_tokens
+            logger.info("[CLAUDE_API] reply={}".format(res_content))
+            return {
+                "total_tokens": total_tokens,
+                "completion_tokens": completion_tokens,
+                "content": res_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("[CLAUDE_API] 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("[CLAUDE_API] 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.APIConnectionError):
+                logger.warn("[CLAUDE_API] APIConnectionError: {}".format(e))
+                need_retry = False
+                result["content"] = "我连接不到你的网络"
+            else:
+                logger.warn("[CLAUDE_API] Exception: {}".format(e))
+                need_retry = False
+                self.sessions.clear_session(session.session_id)
+
+            if need_retry:
+                logger.warn("[CLAUDE_API] 第{}次重试".format(retry_count + 1))
+                return self.reply_text(session, retry_count + 1)
+            else:
+                return result
+
+    def _model_mapping(self, model) -> str:
+        if model == "claude-3-opus":
+            return "claude-3-opus-20240229"
+        elif model == "claude-3-sonnet":
+            return "claude-3-sonnet-20240229"
+        elif model == "claude-3-haiku":
+            return "claude-3-haiku-20240307"
+        return model

bot/dashscope/dashscope_bot.py

@@ -0,0 +1,117 @@
+# encoding:utf-8
+
+from bot.bot import Bot
+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 .dashscope_session import DashscopeSession
+import os
+import dashscope
+from http import HTTPStatus
+
+
+
+dashscope_models = {
+    "qwen-turbo": dashscope.Generation.Models.qwen_turbo,
+    "qwen-plus": dashscope.Generation.Models.qwen_plus,
+    "qwen-max": dashscope.Generation.Models.qwen_max,
+    "qwen-bailian-v1": dashscope.Generation.Models.bailian_v1
+}
+# ZhipuAI对话模型API
+class DashscopeBot(Bot):
+    def __init__(self):
+        super().__init__()
+        self.sessions = SessionManager(DashscopeSession, model=conf().get("model") or "qwen-plus")
+        self.model_name = conf().get("model") or "qwen-plus"
+        self.api_key = conf().get("dashscope_api_key")
+        os.environ["DASHSCOPE_API_KEY"] = self.api_key
+        self.client = dashscope.Generation
+
+    def reply(self, query, context=None):
+        # acquire reply content
+        if context.type == ContextType.TEXT:
+            logger.info("[DASHSCOPE] 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("[DASHSCOPE] session query={}".format(session.messages))
+
+            reply_content = self.reply_text(session)
+            logger.debug(
+                "[DASHSCOPE] 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("[DASHSCOPE] reply {} used 0 tokens.".format(reply_content))
+            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: DashscopeSession, 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:
+            dashscope.api_key = self.api_key
+            response = self.client.call(
+                dashscope_models[self.model_name],
+                messages=session.messages,
+                result_format="message"
+            )
+            if response.status_code == HTTPStatus.OK:
+                content = response.output.choices[0]["message"]["content"]
+                return {
+                    "total_tokens": response.usage["total_tokens"],
+                    "completion_tokens": response.usage["output_tokens"],
+                    "content": content,
+                }
+            else:
+                logger.error('Request id: %s, Status code: %s, error code: %s, error message: %s' % (
+                    response.request_id, response.status_code,
+                    response.code, response.message
+                ))
+                result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+                need_retry = retry_count < 2
+                result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+                if need_retry:
+                    return self.reply_text(session, retry_count + 1)
+                else:
+                    return result
+        except Exception as e:
+            logger.exception(e)
+            need_retry = retry_count < 2
+            result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+            if need_retry:
+                return self.reply_text(session, retry_count + 1)
+            else:
+                return result

bot/dashscope/dashscope_session.py

@@ -0,0 +1,51 @@
+from bot.session_manager import Session
+from common.log import logger
+
+
+class DashscopeSession(Session):
+    def __init__(self, session_id, system_prompt=None, model="qwen-turbo"):
+        super().__init__(session_id)
+        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)
+
+
+def num_tokens_from_messages(messages):
+    # 只是大概，具体计算规则：https://help.aliyun.com/zh/dashscope/developer-reference/token-api?spm=a2c4g.11186623.0.0.4d8b12b0BkP3K9
+    tokens = 0
+    for msg in messages:
+        tokens += len(msg["content"])
+    return tokens

bot/gemini/google_gemini_bot.py

@@ -33,7 +33,7 @@ class GoogleGeminiBot(Bot):
             logger.info(f"[Gemini] query={query}")
             session_id = context["session_id"]
             session = self.sessions.session_query(query, session_id)
-            gemini_messages = self._convert_to_gemini_messages(self._filter_messages(session.messages))
+            gemini_messages = self._convert_to_gemini_messages(self.filter_messages(session.messages))
             genai.configure(api_key=self.api_key)
             model = genai.GenerativeModel('gemini-pro')
             response = model.generate_content(gemini_messages)
@@ -44,6 +44,7 @@ class GoogleGeminiBot(Bot):
         except Exception as e:
             logger.error("[Gemini] fetch reply error, may contain unsafe content")
             logger.error(e)
+            return Reply(ReplyType.ERROR, "invoke [Gemini] api failed!")
 
     def _convert_to_gemini_messages(self, messages: list):
         res = []
@@ -60,9 +61,12 @@ class GoogleGeminiBot(Bot):
             })
         return res
 
-    def _filter_messages(self, messages: list):
+    @staticmethod
+    def filter_messages(messages: list):
         res = []
         turn = "user"
+        if not messages:
+            return res
         for i in range(len(messages) - 1, -1, -1):
             message = messages[i]
             if message.get("role") != turn:

bot/linkai/link_ai_bot.py

@@ -92,6 +92,7 @@ class LinkAIBot(Bot):
                 "frequency_penalty": conf().get("frequency_penalty", 0.0),  # [-2,2]之间，该值越大则更倾向于产生不同的内容
                 "presence_penalty": conf().get("presence_penalty", 0.0),  # [-2,2]之间，该值越大则更倾向于产生不同的内容
                 "session_id": session_id,
+                "sender_id": session_id,
                 "channel_type": conf().get("channel_type", "wx")
             }
             try:
@@ -129,9 +130,12 @@ class LinkAIBot(Bot):
                 response = res.json()
                 reply_content = response["choices"][0]["message"]["content"]
                 total_tokens = response["usage"]["total_tokens"]
-                logger.info(f"[LINKAI] reply={reply_content}, total_tokens={total_tokens}")
-                self.sessions.session_reply(reply_content, session_id, total_tokens, query=query)
-    
+                res_code = response.get('code')
+                logger.info(f"[LINKAI] reply={reply_content}, total_tokens={total_tokens}, res_code={res_code}")
+                if res_code == 429:
+                    logger.warn(f"[LINKAI] 用户访问超出限流配置，sender_id={body.get('sender_id')}")
+                else:
+                    self.sessions.session_reply(reply_content, session_id, total_tokens, query=query)
                 agent_suffix = self._fetch_agent_suffix(response)
                 if agent_suffix:
                     reply_content += agent_suffix
@@ -160,7 +164,10 @@ class LinkAIBot(Bot):
                     logger.warn(f"[LINKAI] do retry, times={retry_count}")
                     return self._chat(query, context, retry_count + 1)
 
-                return Reply(ReplyType.TEXT, "提问太快啦，请休息一下再问我吧")
+                error_reply = "提问太快啦，请休息一下再问我吧"
+                if res.status_code == 409:
+                    error_reply = "这个问题我还没有学会，请问我其它问题吧"
+                return Reply(ReplyType.TEXT, error_reply)
 
         except Exception as e:
             logger.exception(e)

bot/xunfei/xunfei_spark_bot.py

@@ -47,7 +47,8 @@ class XunFeiBot(Bot):
         # 默认使用v2.0版本: "ws://spark-api.xf-yun.com/v2.1/chat"
         # v1.5版本为: "ws://spark-api.xf-yun.com/v1.1/chat"
         # v3.0版本为: "ws://spark-api.xf-yun.com/v3.1/chat"
-        self.spark_url = "ws://spark-api.xf-yun.com/v3.1/chat"
+        # v3.5版本为: "wss://spark-api.xf-yun.com/v3.5/chat"
+        self.spark_url = "wss://spark-api.xf-yun.com/v3.5/chat"
         self.host = urlparse(self.spark_url).netloc
         self.path = urlparse(self.spark_url).path
         # 和wenxin使用相同的session机制

bot/zhipuai/zhipu_ai_session.py

@@ -7,6 +7,8 @@ class ZhipuAISession(Session):
         super().__init__(session_id, system_prompt)
         self.model = model
         self.reset()
+        if not system_prompt:
+            logger.warn("[ZhiPu] `character_desc` can not be empty")
 
     def discard_exceeding(self, max_tokens, cur_tokens=None):
         precise = True

bridge/bridge.py

@@ -18,6 +18,7 @@ class Bridge(object):
             "text_to_voice": conf().get("text_to_voice", "google"),
             "translate": conf().get("translate", "baidu"),
         }
+        # 这边取配置的模型
         model_type = conf().get("model") or const.GPT35
         if model_type in ["text-davinci-003"]:
             self.btype["chat"] = const.OPEN_AI
@@ -29,10 +30,14 @@ class Bridge(object):
             self.btype["chat"] = const.XUNFEI
         if model_type in [const.QWEN]:
             self.btype["chat"] = const.QWEN
+        if model_type in [const.QWEN_TURBO, const.QWEN_PLUS, const.QWEN_MAX]:
+            self.btype["chat"] = const.QWEN_DASHSCOPE
         if model_type in [const.GEMINI]:
             self.btype["chat"] = const.GEMINI
         if model_type in [const.ZHIPU_AI]:
             self.btype["chat"] = const.ZHIPU_AI
+        if model_type and model_type.startswith("claude-3"):
+            self.btype["chat"] = const.CLAUDEAPI
 
         if conf().get("use_linkai") and conf().get("linkai_api_key"):
             self.btype["chat"] = const.LINKAI
@@ -40,12 +45,12 @@ class Bridge(object):
                 self.btype["voice_to_text"] = const.LINKAI
             if not conf().get("text_to_voice") or conf().get("text_to_voice") in ["openai", const.TTS_1, const.TTS_1_HD]:
                 self.btype["text_to_voice"] = const.LINKAI
-
         if model_type in ["claude"]:
             self.btype["chat"] = const.CLAUDEAI
+
         self.bots = {}
         self.chat_bots = {}
-
+    # 模型对应的接口
     def get_bot(self, typename):
         if self.bots.get(typename) is None:
             logger.info("create bot {} for {}".format(self.btype[typename], typename))

bridge/reply.py

@@ -11,7 +11,7 @@ class ReplyType(Enum):
     VIDEO_URL = 5  # 视频URL
     FILE = 6  # 文件
     CARD = 7  # 微信名片，仅支持ntchat
-    InviteRoom = 8  # 邀请好友进群
+    INVITE_ROOM = 8  # 邀请好友进群
     INFO = 9
     ERROR = 10
     TEXT_ = 11  # 强制文本

channel/chat_channel.py

@@ -4,7 +4,6 @@ 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 *
@@ -75,6 +74,7 @@ class ChatChannel(Channel):
                     ):
                         session_id = group_id
                 else:
+                    logger.debug(f"No need reply, groupName not in whitelist, group_name={group_name}")
                     return None
                 context["session_id"] = session_id
                 context["receiver"] = group_id
@@ -170,11 +170,13 @@ class ChatChannel(Channel):
         reply = self._generate_reply(context)
 
         logger.debug("[WX] ready to decorate reply: {}".format(reply))
-        # reply的包装步骤
-        reply = self._decorate_reply(context, reply)
 
-        # reply的发送步骤
-        self._send_reply(context, reply)
+        # reply的包装步骤
+        if reply and reply.content:
+            reply = self._decorate_reply(context, reply)
+
+            # reply的发送步骤
+            self._send_reply(context, reply)
 
     def _generate_reply(self, context: Context, reply: Reply = Reply()) -> Reply:
         e_context = PluginManager().emit_event(

channel/dingtalk/dingtalk_message.py

@@ -32,13 +32,13 @@ class DingTalkMessage(ChatMessage):
             # 钉钉支持直接识别语音，所以此处将直接提取文字，当文字处理
             self.content = event.extensions['content']['recognition'].strip()
             self.ctype = ContextType.TEXT
-        self.from_user_id = event.sender_id
+        if self.is_group:
+            self.from_user_id = event.conversation_id
+            self.actual_user_id = event.sender_id
+        else:
+            self.from_user_id = event.sender_id
         self.to_user_id = event.chatbot_user_id
         self.other_user_nickname = event.conversation_title
         
         user_id = event.sender_id
         nickname =event.sender_nick
-
-        
-
-      

channel/wechat/wechat_channel.py

@@ -96,7 +96,7 @@ def qrCallback(uuid, status, qrcode):
         print(qr_api4)
         print(qr_api2)
         print(qr_api1)
-        _send_qr_code([qr_api1, qr_api2, qr_api3, qr_api4])
+        _send_qr_code([qr_api3, qr_api4, qr_api2, qr_api1])
         qr = qrcode.QRCode(border=1)
         qr.add_data(url)
         qr.make(fit=True)

common/const.py

@@ -6,12 +6,21 @@ XUNFEI = "xunfei"
 CHATGPTONAZURE = "chatGPTOnAzure"
 LINKAI = "linkai"
 CLAUDEAI = "claude"
+CLAUDEAPI= "claudeAPI"
 QWEN = "qwen"
+
+QWEN_DASHSCOPE = "dashscope"
+QWEN_TURBO = "qwen-turbo"
+QWEN_PLUS = "qwen-plus"
+QWEN_MAX = "qwen-max"
+
 GEMINI = "gemini"
 ZHIPU_AI = "glm-4"
+MOONSHOT = "moonshot"
 
 
 # model
+CLAUDE3 = "claude-3-opus-20240229"
 GPT35 = "gpt-3.5-turbo"
 GPT4 = "gpt-4"
 GPT4_TURBO_PREVIEW = "gpt-4-0125-preview"
@@ -20,8 +29,9 @@ WHISPER_1 = "whisper-1"
 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",
-              "gpt-4-turbo-preview", "gpt-4-1106-preview", GPT4_TURBO_PREVIEW, QWEN, GEMINI, ZHIPU_AI]
+MODEL_LIST = ["gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-4", "wenxin", "wenxin-4", "xunfei", "claude","claude-3-opus-20240229", "gpt-4-turbo",
+              "gpt-4-turbo-preview", "gpt-4-1106-preview", GPT4_TURBO_PREVIEW, QWEN, GEMINI, ZHIPU_AI, MOONSHOT,
+              QWEN_TURBO, QWEN_PLUS, QWEN_MAX]
 
 # channel
 FEISHU = "feishu"

common/linkai_client.py

@@ -2,12 +2,14 @@ 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, pconf, plugin_config
+from config import conf, pconf, plugin_config, available_setting
 from plugins import PluginManager
+import time
 
 
 chat_client: LinkAIClient
 
+
 class ChatClient(LinkAIClient):
     def __init__(self, api_key, host, channel):
         super().__init__(api_key, host)
@@ -27,29 +29,67 @@ class ChatClient(LinkAIClient):
     def on_config(self, config: dict):
         if not self.client_id:
             return
-        logger.info(f"从控制台加载配置: {config}")
+        logger.info(f"[LinkAI] 从客户端管理加载远程配置: {config}")
+        if config.get("enabled") != "Y":
+            return
+
         local_config = conf()
-        for key in local_config.keys():
-            if config.get(key) is not None:
+        for key in config.keys():
+            if key in available_setting and 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":
+        # 语音配置
+        reply_voice_mode = config.get("reply_voice_mode")
+        if reply_voice_mode:
+            if reply_voice_mode == "voice_reply_voice":
                 local_config["voice_reply_voice"] = True
-            elif config.get("reply_voice_mode") == "always_reply_voice":
+            elif 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()
+
+        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
     chat_client = ChatClient(api_key=conf().get("linkai_api_key"),
                         host="link-ai.chat", channel=channel)
+    chat_client.config = _build_config()
     chat_client.start()
+    time.sleep(1.5)
+    if chat_client.client_id:
+        logger.info("[LinkAI] 可前往控制台进行线上登录和配置：https://link-ai.tech/console/clients")
+
+
+def _build_config():
+    local_conf = conf()
+    config = {
+        "linkai_app_code": local_conf.get("linkai_app_code"),
+        "single_chat_prefix": local_conf.get("single_chat_prefix"),
+        "single_chat_reply_prefix": local_conf.get("single_chat_reply_prefix"),
+        "single_chat_reply_suffix": local_conf.get("single_chat_reply_suffix"),
+        "group_chat_prefix": local_conf.get("group_chat_prefix"),
+        "group_chat_reply_prefix": local_conf.get("group_chat_reply_prefix"),
+        "group_chat_reply_suffix": local_conf.get("group_chat_reply_suffix"),
+        "group_name_white_list": local_conf.get("group_name_white_list"),
+        "nick_name_black_list": local_conf.get("nick_name_black_list"),
+        "speech_recognition": "Y" if local_conf.get("speech_recognition") else "N",
+        "text_to_image": local_conf.get("text_to_image"),
+        "image_create_prefix": local_conf.get("image_create_prefix")
+    }
+    if local_conf.get("always_reply_voice"):
+        config["reply_voice_mode"] = "always_reply_voice"
+    elif local_conf.get("voice_reply_voice"):
+        config["reply_voice_mode"] = "voice_reply_voice"
+    if pconf("linkai"):
+        config["group_app_map"] = pconf("linkai").get("group_app_map")
+    if plugin_config.get("Godcmd"):
+        config["admin_password"] = plugin_config.get("Godcmd").get("password")
+    return config

config-template.json

@@ -2,6 +2,7 @@
   "channel_type": "wx",
   "model": "",
   "open_ai_api_key": "YOUR API KEY",
+  "claude_api_key": "YOUR API KEY",
   "text_to_image": "dall-e-2",
   "voice_to_text": "openai",
   "text_to_voice": "openai",

config.py

@@ -67,12 +67,16 @@ available_setting = {
     # claude 配置
     "claude_api_cookie": "",
     "claude_uuid": "",
+    # claude api key
+    "claude_api_key":"",
     # 通义千问API, 获取方式查看文档 https://help.aliyun.com/document_detail/2587494.html
     "qwen_access_key_id": "",
     "qwen_access_key_secret": "",
     "qwen_agent_key": "",
     "qwen_app_id": "",
     "qwen_node_id": "",  # 流程编排模型用到的id，如果没有用到qwen_node_id，请务必保持为空字符串
+    # 阿里灵积模型api key
+    "dashscope_api_key": "",
     # Google Gemini Api Key
     "gemini_api_key": "",
     # wework的通用配置
@@ -83,7 +87,7 @@ available_setting = {
     "voice_reply_voice": False,  # 是否使用语音回复语音，需要设置对应语音合成引擎的api key
     "always_reply_voice": False,  # 是否一直使用语音回复
     "voice_to_text": "openai",  # 语音识别引擎，支持openai,baidu,google,azure
-    "text_to_voice": "openai",  # 语音合成引擎，支持openai,baidu,google,pytts(offline),azure,elevenlabs
+    "text_to_voice": "openai",  # 语音合成引擎，支持openai,baidu,google,pytts(offline),azure,elevenlabs,edge(online)
     "text_to_voice_model": "tts-1",
     "tts_voice_id": "alloy",
     # baidu 语音api配置， 使用百度语音识别和语音合成时需要
@@ -256,6 +260,8 @@ def load_config():
     config.load_user_datas()
 
 
+
+
 def get_root():
     return os.path.dirname(os.path.abspath(__file__))
 

docs/version/old-version.md

@@ -0,0 +1,13 @@
+## 归档更新日志
+
+2023.04.26： 支持企业微信应用号部署，兼容插件，并支持语音图片交互，私人助理理想选择，使用文档。(contributed by @lanvent in #944)
+
+2023.04.05： 支持微信公众号部署，兼容插件，并支持语音图片交互，使用文档。(contributed by @JS00000 in #686)
+
+2023.04.05： 增加能让ChatGPT使用工具的tool插件，使用文档。工具相关issue可反馈至chatgpt-tool-hub。(contributed by @goldfishh in #663)
+
+2023.03.25： 支持插件化开发，目前已实现 多角色切换、文字冒险游戏、管理员指令、Stable Diffusion等插件，使用参考 #578。(contributed by @lanvent in #565)
+
+2023.03.09： 基于 whisper API(后续已接入更多的语音API服务) 实现对微信语音消息的解析和回复，添加配置项 "speech_recognition":true 即可启用，使用参考 #415。(contributed by wanggang1987 in #385)
+
+2023.02.09： 扫码登录存在账号限制风险，请谨慎使用，参考#58

plugins/godcmd/godcmd.py

@@ -313,7 +313,7 @@ class Godcmd(Plugin):
                     except Exception as e:
                         ok, result = False, "你没有设置私有GPT模型"
                 elif cmd == "reset":
-                    if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI, const.BAIDU, const.XUNFEI, const.QWEN, const.GEMINI]:
+                    if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI, const.BAIDU, const.XUNFEI, const.QWEN, const.GEMINI, const.ZHIPU_AI]:
                         bot.sessions.clear_session(session_id)
                         if Bridge().chat_bots.get(bottype):
                             Bridge().chat_bots.get(bottype).sessions.clear_session(session_id)
@@ -339,7 +339,7 @@ class Godcmd(Plugin):
                             ok, result = True, "配置已重载"
                         elif cmd == "resetall":
                             if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI,
-                                           const.BAIDU, const.XUNFEI, const.QWEN, const.GEMINI]:
+                                           const.BAIDU, const.XUNFEI, const.QWEN, const.GEMINI, const.ZHIPU_AI, const.MOONSHOT]:
                                 channel.cancel_all_session()
                                 bot.sessions.clear_all_session()
                                 ok, result = True, "重置所有会话成功"

plugins/hello/README.md

@@ -0,0 +1,41 @@
+## 插件说明
+
+可以根据需求设置入群欢迎、群聊拍一拍、退群等消息的自定义提示词，也支持为每个群设置对应的固定欢迎语。
+
+该插件也是用户根据需求开发自定义插件的示例插件，参考[插件开发说明](https://github.com/zhayujie/chatgpt-on-wechat/tree/master/plugins)
+
+## 插件配置
+
+将 `plugins/hello` 目录下的 `config.json.template` 配置模板复制为最终生效的 `config.json`。 (如果未配置则会默认使用`config.json.template`模板中配置)。
+
+以下是插件配置项说明：
+
+```bash
+{
+    "group_welc_fixed_msg": {                   ## 这里可以为特定群里配置特定的固定欢迎语
+      "群聊1": "群聊1的固定欢迎语",
+      "群聊2": "群聊2的固定欢迎语"
+    },
+
+  "group_welc_prompt": "请你随机使用一种风格说一句问候语来欢迎新用户\"{nickname}\"加入群聊。",  ## 群聊随机欢迎语的提示词
+
+  "group_exit_prompt": "请你随机使用一种风格跟其他群用户说他违反规则\"{nickname}\"退出群聊。",  ## 移出群聊的提示词
+
+  "patpat_prompt": "请你随机使用一种风格介绍你自己，并告诉用户输入#help可以查看帮助信息。",  ## 群内拍一拍的提示词
+ 
+  "use_character_desc": false     ## 是否在Hello插件中使用LinkAI应用的系统设定
+}
+```
+
+
+注意：
+
+ - 设置全局的用户进群固定欢迎语，可以在***项目根目录下***的`config.json`文件里，可以添加参数`"group_welcome_msg": "" `，参考 [#1482](https://github.com/zhayujie/chatgpt-on-wechat/pull/1482)
+ - 为每个群设置固定的欢迎语，可以在`"group_welc_fixed_msg": {}`配置群聊名和对应的固定欢迎语，优先级高于全局固定欢迎语
+ - 如果没有配置以上两个参数，则使用随机欢迎语，如需设定风格，语言等，修改`"group_welc_prompt": `即可
+ - 如果使用LinkAI的服务，想在随机欢迎中结合LinkAI应用的设定，配置`"use_character_desc": true `
+ - 实际 `config.json` 配置中应保证json格式，不应携带 '#' 及后面的注释
+ - 如果是`docker`部署，可通过映射 `plugins/config.json` 到容器中来完成插件配置，参考[文档](https://github.com/zhayujie/chatgpt-on-wechat#3-%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)
+
+
+

plugins/hello/config.json.template

@@ -0,0 +1,14 @@
+{
+    "group_welc_fixed_msg": {
+      "群聊1": "群聊1的固定欢迎语",
+      "群聊2": "群聊2的固定欢迎语"
+    },
+
+  "group_welc_prompt": "请你随机使用一种风格说一句问候语来欢迎新用户\"{nickname}\"加入群聊。",
+
+  "group_exit_prompt": "请你随机使用一种风格跟其他群用户说他违反规则\"{nickname}\"退出群聊。",
+
+  "patpat_prompt": "请你随机使用一种风格介绍你自己，并告诉用户输入#help可以查看帮助信息。",
+
+  "use_character_desc": false
+}

plugins/hello/hello.py

@@ -17,12 +17,29 @@ from config import conf
     version="0.1",
     author="lanvent",
 )
+
+
 class Hello(Plugin):
+
+    group_welc_prompt = "请你随机使用一种风格说一句问候语来欢迎新用户\"{nickname}\"加入群聊。"
+    group_exit_prompt = "请你随机使用一种风格介绍你自己，并告诉用户输入#help可以查看帮助信息。"
+    patpat_prompt = "请你随机使用一种风格跟其他群用户说他违反规则\"{nickname}\"退出群聊。"
+
     def __init__(self):
         super().__init__()
-        self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context
-        logger.info("[Hello] inited")
-        self.config = super().load_config()
+        try:
+            self.config = super().load_config()
+            if not self.config:
+                self.config = self._load_config_template()
+            self.group_welc_fixed_msg = self.config.get("group_welc_fixed_msg", {})
+            self.group_welc_prompt = self.config.get("group_welc_prompt", self.group_welc_prompt)
+            self.group_exit_prompt = self.config.get("group_exit_prompt", self.group_exit_prompt)
+            self.patpat_prompt = self.config.get("patpat_prompt", self.patpat_prompt)
+            logger.info("[Hello] inited")
+            self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context
+        except Exception as e:
+            logger.error(f"[Hello]初始化异常：{e}")
+            raise "[Hello] init failed, ignore "
 
     def on_handle_context(self, e_context: EventContext):
         if e_context["context"].type not in [
@@ -32,17 +49,21 @@ class Hello(Plugin):
             ContextType.EXIT_GROUP
         ]:
             return
+        msg: ChatMessage = e_context["context"]["msg"]
+        group_name = msg.from_user_nickname
         if e_context["context"].type == ContextType.JOIN_GROUP:
-            if "group_welcome_msg" in conf():
+            if "group_welcome_msg" in conf() or group_name in self.group_welc_fixed_msg:
                 reply = Reply()
                 reply.type = ReplyType.TEXT
-                reply.content = conf().get("group_welcome_msg", "")
+                if group_name in self.group_welc_fixed_msg:
+                    reply.content = self.group_welc_fixed_msg.get(group_name, "")
+                else:
+                    reply.content = conf().get("group_welcome_msg", "")
                 e_context["reply"] = reply
                 e_context.action = EventAction.BREAK_PASS  # 事件结束，并跳过处理context的默认逻辑
                 return
             e_context["context"].type = ContextType.TEXT
-            msg: ChatMessage = e_context["context"]["msg"]
-            e_context["context"].content = f'请你随机使用一种风格说一句问候语来欢迎新用户"{msg.actual_user_nickname}"加入群聊。'
+            e_context["context"].content = self.group_welc_prompt.format(nickname=msg.actual_user_nickname)
             e_context.action = EventAction.BREAK  # 事件结束，进入默认处理逻辑
             if not self.config or not self.config.get("use_character_desc"):
                 e_context["context"]["generate_breaked_by"] = EventAction.BREAK
@@ -51,8 +72,7 @@ class Hello(Plugin):
         if e_context["context"].type == ContextType.EXIT_GROUP:
             if conf().get("group_chat_exit_group"):
                 e_context["context"].type = ContextType.TEXT
-                msg: ChatMessage = e_context["context"]["msg"]
-                e_context["context"].content = f'请你随机使用一种风格跟其他群用户说他违反规则"{msg.actual_user_nickname}"退出群聊。'
+                e_context["context"].content = self.group_exit_prompt.format(nickname=msg.actual_user_nickname)
                 e_context.action = EventAction.BREAK  # 事件结束，进入默认处理逻辑
                 return
             e_context.action = EventAction.BREAK
@@ -60,8 +80,7 @@ class Hello(Plugin):
             
         if e_context["context"].type == ContextType.PATPAT:
             e_context["context"].type = ContextType.TEXT
-            msg: ChatMessage = e_context["context"]["msg"]
-            e_context["context"].content = f"请你随机使用一种风格介绍你自己，并告诉用户输入#help可以查看帮助信息。"
+            e_context["context"].content = self.patpat_prompt
             e_context.action = EventAction.BREAK  # 事件结束，进入默认处理逻辑
             if not self.config or not self.config.get("use_character_desc"):
                 e_context["context"]["generate_breaked_by"] = EventAction.BREAK
@@ -72,7 +91,6 @@ class Hello(Plugin):
         if content == "Hello":
             reply = Reply()
             reply.type = ReplyType.TEXT
-            msg: ChatMessage = e_context["context"]["msg"]
             if e_context["context"]["isgroup"]:
                 reply.content = f"Hello, {msg.actual_user_nickname} from {msg.from_user_nickname}"
             else:
@@ -96,3 +114,14 @@ class Hello(Plugin):
     def get_help_text(self, **kwargs):
         help_text = "输入Hello，我会回复你的名字\n输入End，我会回复你世界的图片\n"
         return help_text
+
+    def _load_config_template(self):
+        logger.debug("No Hello plugin config.json, use plugins/hello/config.json.template")
+        try:
+            plugin_config_path = os.path.join(self.path, "config.json.template")
+            if os.path.exists(plugin_config_path):
+                with open(plugin_config_path, "r", encoding="utf-8") as f:
+                    plugin_conf = json.load(f)
+                    return plugin_conf
+        except Exception as e:
+            logger.exception(e)

plugins/linkai/linkai.py

@@ -10,6 +10,7 @@ from common import const
 import os
 from .utils import Util
 
+
 @plugins.register(
     name="linkai",
     desc="A plugin that supports knowledge base and midjourney drawing.",
@@ -32,7 +33,6 @@ class LinkAI(Plugin):
             self.sum_config = self.config.get("summary")
         logger.info(f"[LinkAI] inited, config={self.config}")
 
-
     def on_handle_context(self, e_context: EventContext):
         """
         消息处理逻辑
@@ -42,7 +42,8 @@ class LinkAI(Plugin):
             return
 
         context = e_context['context']
-        if context.type not in [ContextType.TEXT, ContextType.IMAGE, ContextType.IMAGE_CREATE, ContextType.FILE, ContextType.SHARING]:
+        if context.type not in [ContextType.TEXT, ContextType.IMAGE, ContextType.IMAGE_CREATE, ContextType.FILE,
+                                ContextType.SHARING]:
             # filter content no need solve
             return
 
@@ -76,7 +77,8 @@ class LinkAI(Plugin):
             if not res:
                 _set_reply_text("因为神秘力量无法获取文章内容，请稍后再试吧~", e_context, level=ReplyType.TEXT)
                 return
-            _set_reply_text(res.get("summary") + "\n\n💬 发送 \"开启对话\" 可以开启与文章内容的对话", e_context, level=ReplyType.TEXT)
+            _set_reply_text(res.get("summary") + "\n\n💬 发送 \"开启对话\" 可以开启与文章内容的对话", e_context,
+                            level=ReplyType.TEXT)
             USER_FILE_MAP[_find_user_id(context) + "-sum_id"] = res.get("summary_id")
             return
 
@@ -99,7 +101,8 @@ class LinkAI(Plugin):
                 _set_reply_text("开启对话失败，请稍后再试吧", e_context)
                 return
             USER_FILE_MAP[_find_user_id(context) + "-file_id"] = res.get("file_id")
-            _set_reply_text("💡你可以问我关于这篇文章的任何问题，例如：\n\n" + res.get("questions") + "\n\n发送 \"退出对话\" 可以关闭与文章的对话", e_context, level=ReplyType.TEXT)
+            _set_reply_text("💡你可以问我关于这篇文章的任何问题，例如：\n\n" + res.get(
+                "questions") + "\n\n发送 \"退出对话\" 可以关闭与文章的对话", e_context, level=ReplyType.TEXT)
             return
 
         if context.type == ContextType.TEXT and context.content == "退出对话" and _find_file_id(context):
@@ -117,12 +120,10 @@ class LinkAI(Plugin):
             e_context.action = EventAction.BREAK_PASS
             return
 
-
         if self._is_chat_task(e_context):
             # 文本对话任务处理
             self._process_chat_task(e_context)
 
-
     # 插件管理功能
     def _process_admin_cmd(self, e_context: EventContext):
         context = e_context['context']
@@ -177,7 +178,9 @@ class LinkAI(Plugin):
                 tips_text = "关闭"
                 is_open = False
             if not self.sum_config:
-                _set_reply_text(f"插件未启用summary功能，请参考以下链添加插件配置\n\nhttps://github.com/zhayujie/chatgpt-on-wechat/blob/master/plugins/linkai/README.md", e_context, level=ReplyType.INFO)
+                _set_reply_text(
+                    f"插件未启用summary功能，请参考以下链添加插件配置\n\nhttps://github.com/zhayujie/chatgpt-on-wechat/blob/master/plugins/linkai/README.md",
+                    e_context, level=ReplyType.INFO)
             else:
                 self.sum_config["enabled"] = is_open
                 _set_reply_text(f"文章总结功能{tips_text}", e_context, level=ReplyType.INFO)
@@ -254,6 +257,9 @@ class LinkAI(Plugin):
         except Exception as e:
             logger.exception(e)
 
+    def reload(self):
+        self.config = super().load_config()
+
 
 def _send_info(e_context: EventContext, content: str):
     reply = Reply(ReplyType.TEXT, content)
@@ -273,15 +279,19 @@ def _set_reply_text(content: str, e_context: EventContext, level: ReplyType = Re
     e_context["reply"] = reply
     e_context.action = EventAction.BREAK_PASS
 
+
 def _get_trigger_prefix():
     return conf().get("plugin_trigger_prefix", "$")
 
+
 def _find_sum_id(context):
     return USER_FILE_MAP.get(_find_user_id(context) + "-sum_id")
 
+
 def _find_file_id(context):
     user_id = _find_user_id(context)
     if user_id:
         return USER_FILE_MAP.get(user_id + "-file_id")
 
+
 USER_FILE_MAP = ExpiredDict(conf().get("expires_in_seconds") or 60 * 30)

plugins/plugin_manager.py

@@ -99,7 +99,7 @@ class PluginManager:
                     try:
                         self.current_plugin_path = plugin_path
                         if plugin_path in self.loaded:
-                            if self.loaded[plugin_path] == None:
+                            if plugin_name.upper() != 'GODCMD':
                                 logger.info("reload module %s" % plugin_name)
                                 self.loaded[plugin_path] = importlib.reload(sys.modules[import_path])
                                 dependent_module_names = [name for name in sys.modules.keys() if name.startswith(import_path + ".")]
@@ -141,19 +141,21 @@ class PluginManager:
         failed_plugins = []
         for name, plugincls in self.plugins.items():
             if plugincls.enabled:
-                if name not in self.instances:
-                    try:
-                        instance = plugincls()
-                    except Exception as e:
-                        logger.warn("Failed to init %s, diabled. %s" % (name, e))
-                        self.disable_plugin(name)
-                        failed_plugins.append(name)
-                        continue
-                    self.instances[name] = instance
-                    for event in instance.handlers:
-                        if event not in self.listening_plugins:
-                            self.listening_plugins[event] = []
-                        self.listening_plugins[event].append(name)
+                if 'GODCMD' in self.instances and name == 'GODCMD':
+                    continue
+                # if name not in self.instances:
+                try:
+                    instance = plugincls()
+                except Exception as e:
+                    logger.warn("Failed to init %s, diabled. %s" % (name, e))
+                    self.disable_plugin(name)
+                    failed_plugins.append(name)
+                    continue
+                self.instances[name] = instance
+                for event in instance.handlers:
+                    if event not in self.listening_plugins:
+                        self.listening_plugins[event] = []
+                    self.listening_plugins[event].append(name)
         self.refresh_order()
         return failed_plugins
 

plugins/source.json

@@ -19,6 +19,14 @@
     "Apilot": {
       "url": "https://github.com/6vision/Apilot.git",
       "desc": "通过api直接查询早报、热榜、快递、天气等实用信息的插件"
+    },
+    "pictureChange": {
+      "url": "https://github.com/Yanyutin753/pictureChange.git",
+      "desc": "利用stable-diffusion和百度Ai进行图生图或者画图的插件"
+    },
+    "Blackroom": {
+      "url": "https://github.com/dividduang/blackroom.git",
+      "desc": "小黑屋插件，被拉进小黑屋的人将不能使用@bot的功能的插件"
     }
   }
 }

plugins/tool/tool.py

@@ -137,7 +137,7 @@ class Tool(Plugin):
 
         return {
             # 全局配置相关
-            "log": True,  # tool 日志开关
+            "log": False,  # tool 日志开关
             "debug": kwargs.get("debug", False),  # 输出更多日志
             "no_default": kwargs.get("no_default", False),  # 不要默认的工具，只加载自己导入的工具
             "think_depth": kwargs.get("think_depth", 2),  # 一个问题最多使用多少次工具

requirements-optional.txt

@@ -7,8 +7,10 @@ gTTS>=2.3.1 # google text to speech
 pyttsx3>=2.90 # pytsx text to speech
 baidu_aip>=4.16.10 # baidu voice
 azure-cognitiveservices-speech # azure voice
+edge-tts # edge-tts
 numpy<=1.24.2
 langid # language detect
+elevenlabs==1.0.3 # elevenlabs TTS
 
 #install plugin
 dulwich
@@ -25,6 +27,8 @@ websocket-client==1.2.0
 
 # claude bot
 curl_cffi
+# claude API
+anthropic
 
 # tongyi qwen
 broadscope_bailian
@@ -32,11 +36,11 @@ broadscope_bailian
 # google
 google-generativeai
 
-# linkai
-linkai>=0.0.3.5
-
 # dingtalk
 dingtalk_stream
 
 # zhipuai
 zhipuai>=2.0.1
+
+# tongyi qwen new sdk
+dashscope

requirements.txt

@@ -7,3 +7,4 @@ chardet>=5.1.0
 Pillow
 pre-commit
 web.py
+linkai>=0.0.5.0

voice/audio_convert.py

@@ -6,7 +6,7 @@ from common.log import logger
 try:
     import pysilk
 except ImportError:
-    logger.warn("import pysilk failed, wechaty voice message will not be supported.")
+    logger.debug("import pysilk failed, wechaty voice message will not be supported.")
 
 from pydub import AudioSegment
 
@@ -64,7 +64,9 @@ def any_to_wav(any_path, wav_path):
     if any_path.endswith(".sil") or any_path.endswith(".silk") or any_path.endswith(".slk"):
         return sil_to_wav(any_path, wav_path)
     audio = AudioSegment.from_file(any_path)
-    audio.export(wav_path, format="wav")
+    audio.set_frame_rate(8000)    # 百度语音转写支持8000采样率, pcm_s16le, 单通道语音识别
+    audio.set_channels(1)
+    audio.export(wav_path, format="wav", codec='pcm_s16le')
 
 
 def any_to_sil(any_path, sil_path):

voice/baidu/baidu_voice.py

@@ -62,7 +62,7 @@ class BaiduVoice(Voice):
         # 识别本地文件
         logger.debug("[Baidu] voice file name={}".format(voice_file))
         pcm = get_pcm_from_wav(voice_file)
-        res = self.client.asr(pcm, "pcm", 16000, {"dev_pid": self.dev_id})
+        res = self.client.asr(pcm, "pcm", 8000, {"dev_pid": self.dev_id})
         if res["err_no"] == 0:
             logger.info("百度语音识别到了：{}".format(res["result"]))
             text = "".join(res["result"])

voice/edge/edge_voice.py

@@ -0,0 +1,50 @@
+import time
+
+import edge_tts
+import asyncio
+
+from bridge.reply import Reply, ReplyType
+from common.log import logger
+from common.tmp_dir import TmpDir
+from voice.voice import Voice
+
+
+class EdgeVoice(Voice):
+
+    def __init__(self):
+        '''
+        # 普通话
+        zh-CN-XiaoxiaoNeural
+        zh-CN-XiaoyiNeural
+        zh-CN-YunjianNeural
+        zh-CN-YunxiNeural
+        zh-CN-YunxiaNeural
+        zh-CN-YunyangNeural
+        # 地方口音
+        zh-CN-liaoning-XiaobeiNeural
+        zh-CN-shaanxi-XiaoniNeural
+        # 粤语
+        zh-HK-HiuGaaiNeural
+        zh-HK-HiuMaanNeural
+        zh-HK-WanLungNeural
+        # 湾湾腔
+        zh-TW-HsiaoChenNeural
+        zh-TW-HsiaoYuNeural
+        zh-TW-YunJheNeural
+        '''
+        self.voice = "zh-CN-YunjianNeural"
+
+    def voiceToText(self, voice_file):
+        pass
+
+    async def gen_voice(self, text, fileName):
+        communicate = edge_tts.Communicate(text, self.voice)
+        await communicate.save(fileName)
+
+    def textToVoice(self, text):
+        fileName = TmpDir().path() + "reply-" + str(int(time.time())) + "-" + str(hash(text) & 0x7FFFFFFF) + ".mp3"
+
+        asyncio.run(self.gen_voice(text, fileName))
+
+        logger.info("[EdgeTTS] textToVoice text={} voice file name={}".format(text, fileName))
+        return Reply(ReplyType.VOICE, fileName)

voice/elevent/elevent_voice.py

@@ -1,7 +1,7 @@
 import time
 
-from elevenlabs import set_api_key,generate
-
+from elevenlabs.client import ElevenLabs
+from elevenlabs import save
 from bridge.reply import Reply, ReplyType
 from common.log import logger
 from common.tmp_dir import TmpDir
@@ -9,7 +9,7 @@ from voice.voice import Voice
 from config import conf
 
 XI_API_KEY = conf().get("xi_api_key")
-set_api_key(XI_API_KEY)
+client = ElevenLabs(api_key=XI_API_KEY)
 name = conf().get("xi_voice_id")
 
 class ElevenLabsVoice(Voice):
@@ -21,13 +21,12 @@ class ElevenLabsVoice(Voice):
         pass
 
     def textToVoice(self, text):
-        audio = generate(
+        audio = client.generate(
             text=text,
             voice=name,
-            model='eleven_multilingual_v1'
+            model='eleven_multilingual_v2'
         )
         fileName = TmpDir().path() + "reply-" + str(int(time.time())) + "-" + str(hash(text) & 0x7FFFFFFF) + ".mp3"
-        with open(fileName, "wb") as f:
-            f.write(audio)
+        save(audio, fileName)
         logger.info("[ElevenLabs] textToVoice text={} voice file name={}".format(text, fileName))
         return Reply(ReplyType.VOICE, fileName)

voice/factory.py

@@ -42,4 +42,8 @@ def create_voice(voice_type):
         from voice.ali.ali_voice import AliVoice
 
         return AliVoice()
+    elif voice_type == "edge":
+        from voice.edge.edge_voice import EdgeVoice
+
+        return EdgeVoice()
     raise RuntimeError