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https://github.com/zhayujie/chatgpt-on-wechat.git
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Merge branch 'master' of github.com:zhayujie/chatgpt-on-wechat
This commit is contained in:
10
README.md
10
README.md
@@ -5,7 +5,7 @@
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最新版本支持的功能如下:
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- ✅ **多端部署:** 有多种部署方式可选择且功能完备,目前已支持微信公众号、企业微信应用、飞书、钉钉等部署方式
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- ✅ **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, GPT-4o, Claude-3, Gemini, 文心一言, 讯飞星火, 通义千问,ChatGLM-4,Kimi(月之暗面)
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- ✅ **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, GPT-4o, Claude-3.5, Gemini, 文心一言, 讯飞星火, 通义千问,ChatGLM-4,Kimi(月之暗面), MiniMax
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- ✅ **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
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- ✅ **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
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- ✅ **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
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@@ -18,6 +18,10 @@
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3. 本项目主要接入协同办公平台,推荐使用公众号、企微自建应用、钉钉、飞书等接入通道,其他通道为历史产物已不维护
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4. 任何个人、团队和企业,无论以何种方式使用该项目、对何对象提供服务,所产生的一切后果,本项目均不承担任何责任
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## 演示
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DEMO视频:https://cdn.link-ai.tech/doc/cow_demo.mp4
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## 社区
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添加小助手微信加入开源项目交流群:
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@@ -42,6 +46,8 @@
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# 🏷 更新日志
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>**2024.07.05:** [1.6.8版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.8) 和 [1.6.7版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.7),Claude3.5, Gemini 1.5 Pro, MiniMax模型、工作流图片输入、模型列表完善
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>**2024.06.04:** [1.6.6版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.6) 和 [1.6.5版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.5),gpt-4o模型、钉钉流式卡片、讯飞语音识别/合成
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>**2024.04.26:** [1.6.0版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.0),新增 Kimi 接入、gpt-4-turbo版本升级、文件总结和语音识别问题修复
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> 默认对话模型是 openai 的 gpt-3.5-turbo,计费方式是约每 1000tokens (约750个英文单词 或 500汉字,包含请求和回复) 消耗 $0.002,图片生成是Dell E模型,每张消耗 $0.016。
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项目同时也支持使用 LinkAI 接口,无需代理,可使用 文心、讯飞、GPT-3、GPT-4 等模型,支持 定制化知识库、联网搜索、MJ绘图、文档总结和对话等能力。修改配置即可一键切换,参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。
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项目同时也支持使用 LinkAI 接口,无需代理,可使用 Kimi、文心、讯飞、GPT-3.5、GPT-4o 等模型,支持 定制化知识库、联网搜索、MJ绘图、文档总结、工作流等能力。修改配置即可一键使用,参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。
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### 2.运行环境
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@@ -130,4 +130,6 @@ class ClaudeAPIBot(Bot, OpenAIImage):
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return "claude-3-sonnet-20240229"
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elif model == "claude-3-haiku":
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return "claude-3-haiku-20240307"
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elif model == "claude-3.5-sonnet":
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return "claude-3-5-sonnet-20240620"
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return model
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@@ -24,7 +24,9 @@ class GoogleGeminiBot(Bot):
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self.api_key = conf().get("gemini_api_key")
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# 复用文心的token计算方式
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self.sessions = SessionManager(BaiduWenxinSession, model=conf().get("model") or "gpt-3.5-turbo")
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self.model = conf().get("model") or "gemini-pro"
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if self.model == "gemini":
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self.model = "gemini-pro"
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def reply(self, query, context: Context = None) -> Reply:
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try:
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if context.type != ContextType.TEXT:
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session = self.sessions.session_query(query, session_id)
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gemini_messages = self._convert_to_gemini_messages(self.filter_messages(session.messages))
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genai.configure(api_key=self.api_key)
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model = genai.GenerativeModel('gemini-pro')
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model = genai.GenerativeModel(self.model)
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response = model.generate_content(gemini_messages)
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reply_text = response.text
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self.sessions.session_reply(reply_text, session_id)
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@@ -36,7 +36,7 @@ class Bridge(object):
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self.btype["chat"] = const.QWEN
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if model_type in [const.QWEN_TURBO, const.QWEN_PLUS, const.QWEN_MAX]:
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self.btype["chat"] = const.QWEN_DASHSCOPE
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if model_type in [const.GEMINI]:
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if model_type and model_type.startswith("gemini"):
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self.btype["chat"] = const.GEMINI
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if model_type in [const.ZHIPU_AI]:
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self.btype["chat"] = const.ZHIPU_AI
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@@ -117,6 +117,7 @@ class ChatChannel(Channel):
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logger.info("[chat_channel]receive group at")
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if not conf().get("group_at_off", False):
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flag = True
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self.name = self.name if self.name is not None else "" # 部分渠道self.name可能没有赋值
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pattern = f"@{re.escape(self.name)}(\u2005|\u0020)"
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subtract_res = re.sub(pattern, r"", content)
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if isinstance(context["msg"].at_list, list):
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@@ -163,7 +163,7 @@ class DingTalkChanel(ChatChannel, dingtalk_stream.ChatbotHandler):
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elif cmsg.ctype == ContextType.PATPAT:
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logger.debug("[DingTalk]receive patpat msg: {}".format(cmsg.content))
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elif cmsg.ctype == ContextType.TEXT:
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logger.debug("[DingTalk]receive patpat msg: {}".format(cmsg.content))
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logger.debug("[DingTalk]receive text msg: {}".format(cmsg.content))
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else:
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logger.debug("[DingTalk]receive other msg: {}".format(cmsg.content))
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context = self._compose_context(cmsg.ctype, cmsg.content, isgroup=True, msg=cmsg)
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if self.is_group:
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self.from_user_id = event.conversation_id
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self.actual_user_id = event.sender_id
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self.is_at = True
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else:
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self.from_user_id = event.sender_id
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self.actual_user_id = event.sender_id
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@@ -11,7 +11,7 @@ QWEN = "qwen" # 旧版通义模型
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QWEN_DASHSCOPE = "dashscope" # 通义新版sdk和api key
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GEMINI = "gemini"
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GEMINI = "gemini" # gemini-1.0-pro
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ZHIPU_AI = "glm-4"
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MOONSHOT = "moonshot"
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MiniMax = "minimax"
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@@ -51,16 +51,19 @@ LINKAI_35 = "linkai-3.5"
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LINKAI_4_TURBO = "linkai-4-turbo"
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LINKAI_4o = "linkai-4o"
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GEMINI_PRO = "gemini-1.0-pro"
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GEMINI_15_flash = "gemini-1.5-flash"
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GEMINI_15_PRO = "gemini-1.5-pro"
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MODEL_LIST = [
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GPT35, GPT35_0125, GPT35_1106, "gpt-3.5-turbo-16k",
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GPT_4o, GPT4_TURBO, GPT4_TURBO_PREVIEW, GPT4_TURBO_01_25, GPT4_TURBO_11_06, GPT4, GPT4_32k, GPT4_06_13, GPT4_32k_06_13,
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WEN_XIN, WEN_XIN_4,
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XUNFEI, GEMINI, ZHIPU_AI, MOONSHOT,
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"claude", "claude-3-haiku", "claude-3-sonnet", "claude-3-opus", "claude-3-opus-20240229",
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XUNFEI, ZHIPU_AI, MOONSHOT, MiniMax,
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GEMINI, GEMINI_PRO, GEMINI_15_flash, GEMINI_15_PRO,
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"claude", "claude-3-haiku", "claude-3-sonnet", "claude-3-opus", "claude-3-opus-20240229", "claude-3.5-sonnet",
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"moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k",
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QWEN, QWEN_TURBO, QWEN_PLUS, QWEN_MAX,
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MiniMax,
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LINKAI_35, LINKAI_4_TURBO, LINKAI_4o
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]
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"open_ai_api_base": "https://api.openai.com/v1",
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"proxy": "", # openai使用的代理
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# chatgpt模型, 当use_azure_chatgpt为true时,其名称为Azure上model deployment名称
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"model": "gpt-3.5-turbo", # 支持ChatGPT、Claude、Gemini、文心一言、通义千问、Kimi、讯飞星火、智谱、LinkAI等模型,模型具体名称详见common/const.py文件列出的模型
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"model": "gpt-3.5-turbo", # 可选择: gpt-4o, gpt-4-turbo, claude-3-sonnet, wenxin, moonshot, qwen-turbo, xunfei, glm-4, minimax, gemini等模型,全部可选模型详见common/const.py文件
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"bot_type": "", # 可选配置,使用兼容openai格式的三方服务时候,需填"chatGPT"。bot具体名称详见common/const.py文件列出的bot_type,如不填根据model名称判断,
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"use_azure_chatgpt": False, # 是否使用azure的chatgpt
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"azure_deployment_id": "", # azure 模型部署名称
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@@ -96,7 +96,7 @@ available_setting = {
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"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
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"always_reply_voice": False, # 是否一直使用语音回复
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"voice_to_text": "openai", # 语音识别引擎,支持openai,baidu,google,azure
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"text_to_voice": "openai", # 语音合成引擎,支持openai,baidu,google,pytts(offline),azure,elevenlabs,edge(online)
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"text_to_voice": "openai", # 语音合成引擎,支持openai,baidu,google,pytts(offline),ali,azure,elevenlabs,edge(online)
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"text_to_voice_model": "tts-1",
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"tts_voice_id": "alloy",
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# baidu 语音api配置, 使用百度语音识别和语音合成时需要
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@@ -242,7 +242,7 @@ def drag_sensitive(config):
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conf_dict_copy = copy.deepcopy(conf_dict)
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for key in conf_dict_copy:
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if "key" in key or "secret" in key:
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if isinstance(key, str):
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if isinstance(conf_dict_copy[key], str):
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conf_dict_copy[key] = conf_dict_copy[key][0:3] + "*" * 5 + conf_dict_copy[key][-3:]
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return json.dumps(conf_dict_copy, indent=4)
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@@ -250,7 +250,7 @@ def drag_sensitive(config):
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config_copy = copy.deepcopy(config)
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for key in config:
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if "key" in key or "secret" in key:
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if isinstance(key, str):
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if isinstance(config_copy[key], str):
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config_copy[key] = config_copy[key][0:3] + "*" * 5 + config_copy[key][-3:]
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return config_copy
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except Exception as e:
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@@ -6,6 +6,7 @@ services:
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security_opt:
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- seccomp:unconfined
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environment:
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TZ: 'Asia/Shanghai'
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OPEN_AI_API_KEY: 'YOUR API KEY'
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MODEL: 'gpt-3.5-turbo'
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PROXY: ''
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"midjourney": {
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"url": "https://github.com/baojingyu/midjourney.git",
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"desc": "利用midjourney实现ai绘图的的插件"
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},
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"solitaire": {
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"url": "https://github.com/Wang-zhechao/solitaire.git",
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"desc": "机器人微信接龙插件"
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},
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"HighSpeedTicket": {
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"url": "https://github.com/He0607/HighSpeedTicket.git",
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"desc": "高铁(火车)票查询插件"
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}
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}
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}
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