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feat: optimize document and model usage
This commit is contained in:
saboteur7
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README.md
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README.md
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- ✅ **复杂任务规划**：能够理解复杂任务并自主规划执行，持续思考和调用工具直到完成目标，支持通过工具操作访问文件、终端、浏览器、定时任务等系统资源
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- ✅ **长期记忆：** 自动将对话记忆持久化至本地文件和数据库中，包括全局记忆和天级记忆，支持关键词及向量检索
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- ✅ **技能系统：** 内置Skills创造器、网络搜索、图像识别等多种技能，支持通过自然语言对话完成Skills开发
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- ✅ **技能系统：** 实现了Skills创建和运行的引擎，内置多种技能，并支持通过自然语言对话完成自定义Skills开发
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- ✅ **多模态消息：** 支持对文本、图片、语音、文件等多类型消息进行解析、处理、生成、发送等操作
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- ✅ **多模型接入：** 支持OpenAI, Claude, Gemini, DeepSeek, MiniMax、GLM、通义千问, Kimi等国内外主流模型厂商
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- ✅ **多端部署：** 支持运行在本地计算机或服务器，可集成到网页、飞书、钉钉、微信公众号、企业微信应用中使用
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## 声明
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1. 本项目遵循 [MIT开源协议](/LICENSE)，用于技术研究和学习，使用本项目时需遵守所在地法律法规、相关政策以及企业章程，禁止用于任何违法或侵犯他人权益的行为。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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1. 本项目遵循 [MIT开源协议](/LICENSE)，主要用于技术研究和学习，使用本项目时需遵守所在地法律法规、相关政策以及企业章程，禁止用于任何违法或侵犯他人权益的行为。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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2. 境内使用该项目时，推荐使用国内厂商的大模型服务，并进行必要的内容安全审核及过滤
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3. 本项目当前主要接入协同办公平台，推荐使用飞书、钉钉、企微自建应用、网页、公众号等接入通道，其他通道持续扩展中，欢迎贡献代码或提交反馈
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4. 成本与安全：Agent模式下Token使用量高于普通对话模式，请根据效果及成本综合选择模型。Agent具有访问所在操作系统的能力，请谨慎选择项目部署环境。同时项目也会持续升级安全机制、并降低模型消耗成本
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## 演示
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@@ -56,6 +57,8 @@ DEMO视频(对话模式)：https://cdn.link-ai.tech/doc/cow_demo.mp4
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# 🏷 更新日志
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>**2026.02.03：** 2.0.0版本，正式升级为超级Agent助理，支持多轮任务决策、具备长期记忆、实现多种系统工具、支持Skills框架，新增多种模型并优化了接入渠道。
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>**2025.05.23：** [1.7.6版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.7.6) 优化web网页channel、新增 [AgentMesh](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/plugins/agent/README.md)多智能体插件、百度语音合成优化、企微应用`access_token`获取优化、支持`claude-4-sonnet`和`claude-4-opus`模型
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>**2025.04.11：** [1.7.5版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.7.5) 新增支持 [wechatferry](https://github.com/zhayujie/chatgpt-on-wechat/pull/2562) 协议、新增 deepseek 模型、新增支持腾讯云语音能力、新增支持 ModelScope 和 Gitee-AI API接口
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@@ -70,7 +73,7 @@ DEMO视频(对话模式)：https://cdn.link-ai.tech/doc/cow_demo.mp4
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# 🚀 快速开始
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项目提供了一键安装、启动、管理程序的脚本，可以选择使用脚本快速运行，也可以根据详细指引一步步安装运行。
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项目提供了一键安装、配置、启动、管理程序的脚本，推荐使用脚本快速运行，也可以根据下文中的详细指引一步步安装运行。
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在终端执行以下命令：
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bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
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```
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- 脚本说明文档：[一键安装脚本](https://github.com/zhayujie/chatgpt-on-wechat/wiki/CowAgentQuickStart)
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脚本使用说明：[一键运行脚本](https://github.com/zhayujie/chatgpt-on-wechat/wiki/CowAgentQuickStart)
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## 一、准备
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### 1. 模型账号
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### 1. 模型API
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项目默认使用ChatGPT模型，需前往 [OpenAI平台](https://platform.openai.com/api-keys) 创建API Key并填入项目配置文件中。同时支持其他国内外产商以及第三方自定义模型接口，详情参考：[模型说明](#模型说明)。
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项目支持国内外主流厂商的模型接口，可选模型及配置说明参考：[模型说明](#模型说明)。
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同时支持使用 **LinkAI平台** 接口，可聚合使用 OpenAI、Claude、DeepSeek、Kimi、Qwen 等多种常用模型，并支持知识库、工作流、联网搜索、MJ绘图、文档总结等能力。修改配置即可一键启用，参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。
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> 注：Agent模式下推荐使用以下模型，可根据效果及成本综合选择： Claude(claude-sonnet-4-5、claude-sonnet-4-0)、Gemini(gemini-3-flash-preview、gemini-3-pro-preview)、GLM(glm-4.7)、MiniMAx(MiniMax-M2.1)、Qwen(qwen3-max)
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同时支持使用 **LinkAI平台** 接口，可灵活切换 OpenAI、Claude、Gemini、DeepSeek、Qwen、Kimi 等多种常用模型，并支持知识库、工作流、插件等Agent能力，参考 [接口文档](https://docs.link-ai.tech/platform/api)。
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### 2.环境安装
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支持 Linux、MacOS、Windows 系统，同时需安装 `Python`，Python版本需要在3.7以上，推荐使用3.9版本。
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支持 Linux、MacOS、Windows 操作系统，可在个人计算机及服务器上运行，需安装 `Python`，Python版本需在3.7 ~ 3.12 之间，推荐使用3.9版本。
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> 注意：选择Docker部署则无需安装python环境和下载源码，可直接快进到下一节。
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> 注意：Agent模式推荐使用源码运行，若选择Docker部署则无需安装python环境和下载源码，可直接快进到下一节。
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**(1) 克隆项目代码：**
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```bash
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# config.json 文件内容示例
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{
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"channel_type": "web", # 接入渠道类型，默认为web，支持修改为:terminal, wechatmp, wechatmp_service, wechatcom_app, dingtalk, feishu
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"model": "gpt-4.1-mini", # 模型名称, 支持 gpt-4o-mini, gpt-4.1, gpt-4o, deepseek-reasoner, wenxin, xunfei, glm-4, claude-3-7-sonnet-latest, moonshot等
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"open_ai_api_key": "YOUR API KEY", # 如果使用openAI模型则填入上面创建的 OpenAI API KEY
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"open_ai_api_base": "https://api.openai.com/v1", # OpenAI接口代理地址，修改此项可接入第三方模型接口
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"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"
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"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
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"single_chat_reply_prefix": "[bot] ", # 私聊时自动回复的前缀，用于区分真人
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"group_chat_prefix": ["@bot"], # 群聊时包含该前缀则会触发机器人回复
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"group_name_white_list": ["ChatGPT测试群", "ChatGPT测试群2"], # 开启自动回复的群名称列表
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"group_chat_in_one_session": ["ChatGPT测试群"], # 支持会话上下文共享的群名称
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"image_create_prefix": ["画", "看", "找"], # 开启图片回复的前缀
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"conversation_max_tokens": 1000, # 支持上下文记忆的最多字符数
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"channel_type": "web", # 接入渠道类型，默认为web，支持修改为:feishu,dingtalk,wechatcom_app,terminal,wechatmp,wechatmp_service
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"model": "claude-sonnet-4-5", # 模型名称
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"claude_api_key": "", # Claude API Key
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"claude_api_base": "https://api.anthropic.com/v1", # Claude API 地址，修改可接入三方代理平台
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"open_ai_api_key": "", # OpenAI API Key
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"open_ai_api_base": "https://api.openai.com/v1", # OpenAI API 地址
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"gemini_api_key": "", # Gemini API Key
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"gemini_api_base": "https://generativelanguage.googleapis.com", # Gemini API地址
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"zhipu_ai_api_key": "", # 智谱GLM API Key
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"minimax_api_key": "", # MiniMax API Key
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"dashscope_api_key": "", # 百炼(通义千问)API Key
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"linkai_api_key": "", # LinkAI API Key
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"proxy": "", # 代理客户端的ip和端口，国内环境需要开启代理的可填写该项，如 "127.0.0.1:7890"
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"speech_recognition": false, # 是否开启语音识别
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"group_speech_recognition": false, # 是否开启群组语音识别
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"voice_reply_voice": false, # 是否使用语音回复语音
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"character_desc": "你是基于大语言模型的AI智能助手，旨在回答并解决人们的任何问题，并且可以使用多种语言与人交流。", # 系统提示词
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# 订阅欢迎语，公众号和企业微信channel中使用，当被订阅时会自动回复以下内容
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"subscribe_msg": "感谢您的关注！\n这里是AI智能助手，可以自由对话。\n支持语音对话。\n支持图片输入。\n支持图片输出，画字开头的消息将按要求创作图片。\n支持tool、角色扮演和文字冒险等丰富的插件。\n输入{trigger_prefix}#help 查看详细指令。",
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"use_linkai": false, # 是否使用LinkAI接口，默认关闭，设置为true后可对接LinkAI平台的智能体
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"linkai_api_key": "", # LinkAI Api Key
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"linkai_app_code": "" # LinkAI 应用或工作流的code
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"use_linkai": false, # 是否使用LinkAI接口，默认关闭，设置为true后可对接LinkAI平台接口
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"agent": true, # 是否启用Agent模式，启用后拥有多轮工具决策、长期记忆、Skills能力等
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"agent_workspace": "~/cow", # Agent的工作空间路径，用于存储memory、skills、系统设定等
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"agent_max_context_tokens": 40000, # Agent模式下最大上下文tokens，超出将自动丢弃最早的上下文
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"agent_max_context_turns": 30, # Agent模式下最大上下文记忆轮次，每轮包括一次用户提问和AI回复
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"agent_max_steps": 15 # Agent模式下单次任务的最大决策步数，超出后将停止继续调用工具
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}
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```
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**详细配置说明:**
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**配置补充说明:**
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<details>
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<summary>1. 单聊配置</summary>
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+ 个人聊天中，需要以 "bot"或"@bot" 为开头的内容触发机器人，对应配置项 `single_chat_prefix` (如果不需要以前缀触发可以填写 `"single_chat_prefix": [""]`)
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+ 机器人回复的内容会以 "[bot] " 作为前缀， 以区分真人，对应的配置项为 `single_chat_reply_prefix` (如果不需要前缀可以填写 `"single_chat_reply_prefix": ""`)
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</details>
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<details>
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<summary>2. 群聊配置</summary>
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+ 群组聊天中，群名称需配置在 `group_name_white_list ` 中才能开启群聊自动回复。如果想对所有群聊生效，可以直接填写 `"group_name_white_list": ["ALL_GROUP"]`
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+ 默认只要被人 @ 就会触发机器人自动回复；另外群聊天中只要检测到以 "@bot" 开头的内容，同样会自动回复（方便自己触发），这对应配置项 `group_chat_prefix`
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+ 可选配置: `group_name_keyword_white_list`配置项支持模糊匹配群名称，`group_chat_keyword`配置项则支持模糊匹配群消息内容，用法与上述两个配置项相同。（Contributed by [evolay](https://github.com/evolay))
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+ `group_chat_in_one_session`：使群聊共享一个会话上下文，配置 `["ALL_GROUP"]` 则作用于所有群聊
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</details>
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<details>
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<summary>3. 语音配置</summary>
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<summary>1. 语音配置</summary>
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+ 添加 `"speech_recognition": true` 将开启语音识别，默认使用openai的whisper模型识别为文字，同时以文字回复，该参数仅支持私聊 (注意由于语音消息无法匹配前缀，一旦开启将对所有语音自动回复，支持语音触发画图)；
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+ 添加 `"group_speech_recognition": true` 将开启群组语音识别，默认使用openai的whisper模型识别为文字，同时以文字回复，参数仅支持群聊 (会匹配group_chat_prefix和group_chat_keyword, 支持语音触发画图)；
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@@ -182,30 +171,22 @@ pip3 install -r requirements-optional.txt
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</details>
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<details>
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<summary>4. 其他配置</summary>
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<summary>2. 其他配置</summary>
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+ `model`: 模型名称，目前支持 `gpt-4o-mini`, `gpt-4.1`, `gpt-4o`, `gpt-3.5-turbo`, `wenxin` , `claude` , `gemini`, `glm-4`, `xunfei`, `moonshot`等，全部模型名称参考[common/const.py](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/common/const.py)文件
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+ `temperature`,`frequency_penalty`,`presence_penalty`: Chat API接口参数，详情参考[OpenAI官方文档。](https://platform.openai.com/docs/api-reference/chat)
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+ `proxy`：由于目前 `openai` 接口国内无法访问，需配置代理客户端的地址，详情参考 [#351](https://github.com/zhayujie/chatgpt-on-wechat/issues/351)
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+ 对于图像生成，在满足个人或群组触发条件外，还需要额外的关键词前缀来触发，对应配置 `image_create_prefix `
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+ 关于OpenAI对话及图片接口的参数配置（内容自由度、回复字数限制、图片大小等），可以参考 [对话接口](https://beta.openai.com/docs/api-reference/completions) 和 [图像接口](https://beta.openai.com/docs/api-reference/completions) 文档，在[`config.py`](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/config.py)中检查哪些参数在本项目中是可配置的。
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+ `conversation_max_tokens`：表示能够记忆的上下文最大字数（一问一答为一组对话，如果累积的对话字数超出限制，就会优先移除最早的一组对话）
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+ `rate_limit_chatgpt`，`rate_limit_dalle`：每分钟最高问答速率、画图速率，超速后排队按序处理。
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+ `clear_memory_commands`: 对话内指令，主动清空前文记忆，字符串数组可自定义指令别名。
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+ `hot_reload`: 程序退出后，暂存等于状态，默认关闭。
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+ `character_desc` 配置中保存着你对机器人说的一段话，他会记住这段话并作为他的设定，你可以为他定制任何人格 (关于会话上下文的更多内容参考该 [issue](https://github.com/zhayujie/chatgpt-on-wechat/issues/43))
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+ `model`: 模型名称，Agent模式下推荐使用 `claude-sonnet-4-5`、`claude-sonnet-4-0`、`gemini-3-flash-preview`、`gemini-3-pro-preview`、`glm-4.7`、`MiniMax-M2.1`、`qwen3-max`，全部模型名称参考[common/const.py](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/common/const.py)文件
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+ `character_desc`：普通对话模式下的机器人系统提示词。在Agent模式下该配置不生效，由工作空间中的文件内容构成。
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+ `subscribe_msg`：订阅消息，公众号和企业微信channel中请填写，当被订阅时会自动回复， 可使用特殊占位符。目前支持的占位符有{trigger_prefix}，在程序中它会自动替换成bot的触发词。
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</details>
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<details>
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<summary>5. LinkAI配置</summary>
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+ `use_linkai`: 是否使用LinkAI接口，默认关闭，设置为true后可对接LinkAI平台的Agent，使用知识库、工作流、联网搜索、`Midjourney` 绘画等能力, 参考 [文档](https://link-ai.tech/platform/link-app/wechat)
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+ `use_linkai`: 是否使用LinkAI接口，默认关闭，设置为true后可对接LinkAI平台，使用知识库、工作流、插件等能力, 参考[接口文档](https://docs.link-ai.tech/platform/api/chat)
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+ `linkai_api_key`: LinkAI Api Key，可在 [控制台](https://link-ai.tech/console/interface) 创建
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+ `linkai_app_code`: LinkAI 应用或工作流的code，选填
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+ `linkai_app_code`: LinkAI 应用或工作流的code，选填，普通对话模式中使用。
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</details>
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|
||||
注：完整配置项说明可在 [`config.py`](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/config.py) 文件中查看。
|
||||
注：全部配置项说明可在 [`config.py`](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/config.py) 文件中查看。
|
||||
|
||||
## 三、运行
|
||||
|
||||
@@ -217,9 +198,10 @@ pip3 install -r requirements-optional.txt
|
||||
python3 app.py # windows环境下该命令通常为 python app.py
|
||||
```
|
||||
|
||||
运行后默认会启动一个web服务，可以通过访问 `http://localhost:9899/chat` 在网页端对话。如果需要接入其他应用通道只需修改 `config.json` 配置文件中的 `channel_type` 参数，详情参考：[通道说明](#通道说明)。
|
||||
运行后默认会启动web服务，可通过访问 `http://localhost:9899/chat` 在网页端对话。
|
||||
|
||||
如果需要接入其他应用通道只需修改 `config.json` 配置文件中的 `channel_type` 参数，详情参考：[通道说明](#通道说明)。
|
||||
|
||||
向机器人发送 `#help` 消息可以查看可用指令及插件的说明。
|
||||
|
||||
### 2.服务器部署
|
||||
|
||||
@@ -236,7 +218,7 @@ nohup python3 app.py & tail -f nohup.out
|
||||
|
||||
### 3.Docker部署
|
||||
|
||||
使用docker部署无需下载源码和安装依赖，只需要获取 `docker-compose.yml` 配置文件并启动容器即可。
|
||||
使用docker部署无需下载源码和安装依赖，只需要获取 `docker-compose.yml` 配置文件并启动容器即可。Agent模式下更推荐使用源码进行部署，以获得更多系统访问能力。
|
||||
|
||||
> 前提是需要安装好 `docker` 及 `docker-compose`，安装成功后执行 `docker -v` 和 `docker-compose version` (或 `docker compose version`) 可查看到版本号。安装地址为 [docker官网](https://docs.docker.com/engine/install/) 。
|
||||
|
||||
@@ -276,8 +258,7 @@ volumes:
|
||||
|
||||
## 模型说明
|
||||
|
||||
以下对所有可支持的模型的配置和使用方法进行说明，模型接口实现在项目的 `bot/` 目录下。
|
||||
>部分模型厂商接入有官方sdk和OpenAI兼容两种方式，建议使用OpenAI兼容的方式。
|
||||
以下对所有可支持的模型的配置和使用方法进行说明，模型接口实现在项目的 `models/` 目录下。
|
||||
|
||||
<details>
|
||||
<summary>OpenAI</summary>
|
||||
@@ -295,7 +276,7 @@ volumes:
|
||||
}
|
||||
```
|
||||
|
||||
- `model`: 与OpenAI接口的 [model参数](https://platform.openai.com/docs/models) 一致，支持包括 o系列、gpt-4系列、gpt-3.5系列等模型
|
||||
- `model`: 与OpenAI接口的 [model参数](https://platform.openai.com/docs/models) 一致，支持包括 o系列、gpt-5.2、gpt-5.1、gpt-4.1等系列模型
|
||||
- `open_ai_api_base`: 如果需要接入第三方代理接口，可通过修改该参数进行接入
|
||||
- `bot_type`: 使用OpenAI相关模型时无需填写。当使用第三方代理接口接入Claude等非OpenAI官方模型时，该参数设为 `chatGPT`
|
||||
</details>
|
||||
@@ -309,18 +290,47 @@ volumes:
|
||||
|
||||
```json
|
||||
{
|
||||
"use_linkai": true,
|
||||
"linkai_api_key": "YOUR API KEY",
|
||||
"linkai_app_code": "YOUR APP CODE"
|
||||
"use_linkai": true,
|
||||
"linkai_api_key": "YOUR API KEY",
|
||||
"linkai_app_code": "YOUR APP CODE"
|
||||
}
|
||||
```
|
||||
|
||||
+ `use_linkai`: 是否使用LinkAI接口，默认关闭，设置为true后可对接LinkAI平台的智能体，使用知识库、工作流、数据库、联网搜索、MCP工具等丰富的Agent能力, 参考 [文档](https://link-ai.tech/platform/link-app/wechat)
|
||||
+ `use_linkai`: 是否使用LinkAI接口，默认关闭，设置为true后可对接LinkAI平台的智能体，使用知识库、工作流、数据库、MCP插件等丰富的Agent能力
|
||||
+ `linkai_api_key`: LinkAI平台的API Key，可在 [控制台](https://link-ai.tech/console/interface) 中创建
|
||||
+ `linkai_app_code`: LinkAI智能体 (应用或工作流) 的code，选填。智能体创建可参考 [说明文档](https://docs.link-ai.tech/platform/quick-start)
|
||||
+ `linkai_app_code`: LinkAI智能体 (应用或工作流) 的code，选填，普通对话模式可用。智能体创建可参考 [说明文档](https://docs.link-ai.tech/platform/quick-start)
|
||||
+ `model`: model字段填写空则直接使用智能体的模型，可在平台中灵活切换，[模型列表](https://link-ai.tech/console/models)中的全部模型均可使用
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Claude</summary>
|
||||
|
||||
1. API Key创建：在 [Claude控制台](https://console.anthropic.com/settings/keys) 创建API Key
|
||||
|
||||
2. 填写配置
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "claude-sonnet-4-5",
|
||||
"claude_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
- `model`: 参考 [官方模型ID](https://docs.anthropic.com/en/docs/about-claude/models/overview#model-aliases) ，支持 `claude-sonnet-4-5、claude-sonnet-4-0、claude-opus-4-0、claude-3-5-sonnet-latest` 等
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Gemini</summary>
|
||||
|
||||
API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn) 创建API Key ，配置如下
|
||||
```json
|
||||
{
|
||||
"model": "gemini-3-flash-preview",
|
||||
"gemini_api_key": ""
|
||||
}
|
||||
```
|
||||
- `model`: 参考[官方文档-模型列表](https://ai.google.dev/gemini-api/docs/models?hl=zh-cn)，支持 `gemini-3-flash-preview、gemini-3-pro-preview、gemini-2.5-pro、gemini-2.0-flash` 等
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>DeepSeek</summary>
|
||||
|
||||
@@ -330,23 +340,140 @@ volumes:
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"model": "deepseek-chat",
|
||||
"open_ai_api_key": "sk-xxxxxxxxxxx",
|
||||
"open_ai_api_base": "https://api.deepseek.com/v1"
|
||||
"model": "deepseek-chat",
|
||||
"open_ai_api_key": "sk-xxxxxxxxxxx",
|
||||
"open_ai_api_base": "https://api.deepseek.com/v1",
|
||||
"bot_type": "chatGPT"
|
||||
|
||||
}
|
||||
```
|
||||
|
||||
- `bot_type`: OpenAI兼容方式
|
||||
- `model`: 可填 `deepseek-chat、deepseek-reasoner`，分别对应的是 V3 和 R1 模型
|
||||
- `model`: 可填 `deepseek-chat、deepseek-reasoner`，分别对应的是 DeepSeek-V3 和 DeepSeek-R1 模型
|
||||
- `open_ai_api_key`: DeepSeek平台的 API Key
|
||||
- `open_ai_api_base`: DeepSeek平台 BASE URL
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>通义千问 (Qwen)</summary>
|
||||
|
||||
方式一：官方SDK接入，配置如下(推荐)：
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "qwen3-max",
|
||||
"dashscope_api_key": "sk-qVxxxxG"
|
||||
}
|
||||
```
|
||||
- `model`: 可填写 `qwen3-max、qwen-max、qwen-plus、qwen-turbo、qwen-long、qwq-plus` 等
|
||||
- `dashscope_api_key`: 通义千问的 API-KEY，参考 [官方文档](https://bailian.console.aliyun.com/?tab=api#/api) ，在 [控制台](https://bailian.console.aliyun.com/?tab=model#/api-key) 创建
|
||||
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"model": "qwen3-max",
|
||||
"open_ai_api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1",
|
||||
"open_ai_api_key": "sk-qVxxxxG"
|
||||
}
|
||||
```
|
||||
- `bot_type`: OpenAI兼容方式
|
||||
- `model`: 支持官方所有模型，参考[模型列表](https://help.aliyun.com/zh/model-studio/models?spm=a2c4g.11186623.0.0.78d84823Kth5on#9f8890ce29g5u)
|
||||
- `open_ai_api_base`: 通义千问API的 BASE URL
|
||||
- `open_ai_api_key`: 通义千问的 API-KEY
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>MiniMax</summary>
|
||||
|
||||
方式一：官方接入，配置如下(推荐)：
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "MiniMax-M2.1",
|
||||
"minimax_api_key": ""
|
||||
}
|
||||
```
|
||||
- `model`: 可填写 `MiniMax-M2.1、MiniMax-M2.1-lightning、MiniMax-M2、abab6.5-chat` 等
|
||||
- `minimax_api_key`：MiniMax平台的API-KEY，在 [控制台](https://platform.minimaxi.com/user-center/basic-information/interface-key) 创建
|
||||
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"model": "MiniMax-M2.1",
|
||||
"open_ai_api_base": "https://api.minimaxi.com/v1",
|
||||
"open_ai_api_key": ""
|
||||
}
|
||||
```
|
||||
- `bot_type`: OpenAI兼容方式
|
||||
- `model`: 可填 `MiniMax-M2.1、MiniMax-M2.1-lightning、MiniMax-M2`，参考[API文档](https://platform.minimaxi.com/document/%E5%AF%B9%E8%AF%9D?key=66701d281d57f38758d581d0#QklxsNSbaf6kM4j6wjO5eEek)
|
||||
- `open_ai_api_base`: MiniMax平台API的 BASE URL
|
||||
- `open_ai_api_key`: MiniMax平台的API-KEY
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>智谱AI (GLM)</summary>
|
||||
|
||||
方式一：官方接入，配置如下(推荐)：
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "glm-4.7",
|
||||
"zhipu_ai_api_key": ""
|
||||
}
|
||||
```
|
||||
- `model`: 可填 `glm-4.7、glm-4-plus、glm-4-flash、glm-4-air、glm-4-airx、glm-4-long` 等, 参考 [glm-4系列模型编码](https://bigmodel.cn/dev/api/normal-model/glm-4)
|
||||
- `zhipu_ai_api_key`: 智谱AI平台的 API KEY，在 [控制台](https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys) 创建
|
||||
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"model": "glm-4.7",
|
||||
"open_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
|
||||
"open_ai_api_key": ""
|
||||
}
|
||||
```
|
||||
- `bot_type`: OpenAI兼容方式
|
||||
- `model`: 可填 `glm-4.7、glm-4.6、glm-4-plus、glm-4-flash、glm-4-air、glm-4-airx、glm-4-long` 等
|
||||
- `open_ai_api_base`: 智谱AI平台的 BASE URL
|
||||
- `open_ai_api_key`: 智谱AI平台的 API KEY
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Kimi (Moonshot)</summary>
|
||||
|
||||
方式一：官方接入，配置如下：
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "moonshot-v1-128k",
|
||||
"moonshot_api_key": ""
|
||||
}
|
||||
```
|
||||
- `model`: 可填写 `moonshot-v1-8k、moonshot-v1-32k、moonshot-v1-128k`
|
||||
- `moonshot_api_key`: Moonshot的API-KEY，在 [控制台](https://platform.moonshot.cn/console/api-keys) 创建
|
||||
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"model": "moonshot-v1-128k",
|
||||
"open_ai_api_base": "https://api.moonshot.cn/v1",
|
||||
"open_ai_api_key": ""
|
||||
}
|
||||
```
|
||||
- `bot_type`: OpenAI兼容方式
|
||||
- `model`: 可填写 `moonshot-v1-8k、moonshot-v1-32k、moonshot-v1-128k`
|
||||
- `open_ai_api_base`: Moonshot的 BASE URL
|
||||
- `open_ai_api_key`: Moonshot的 API-KEY
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Azure</summary>
|
||||
|
||||
1. API Key创建：在 [DeepSeek平台](https://platform.deepseek.com/api_keys) 创建API Key
|
||||
1. API Key创建：在 [Azure平台](https://oai.azure.com/) 创建API Key
|
||||
|
||||
2. 填写配置
|
||||
|
||||
@@ -354,9 +481,9 @@ volumes:
|
||||
{
|
||||
"model": "",
|
||||
"use_azure_chatgpt": true,
|
||||
"open_ai_api_key": "e7ffc5dd84f14521a53f14a40231ea78",
|
||||
"open_ai_api_base": "https://linkai-240917.openai.azure.com/",
|
||||
"azure_deployment_id": "gpt-4.1",
|
||||
"open_ai_api_key": "",
|
||||
"open_ai_api_base": "",
|
||||
"azure_deployment_id": "",
|
||||
"azure_api_version": "2025-01-01-preview"
|
||||
}
|
||||
```
|
||||
@@ -369,100 +496,13 @@ volumes:
|
||||
- `azure_api_version`: api版本以及以上参数可以在部署的 [模型配置](https://oai.azure.com/resource/deployments) 界面查看
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Claude</summary>
|
||||
|
||||
1. API Key创建：在 [Claude控制台](https://console.anthropic.com/settings/keys) 创建API Key
|
||||
|
||||
2. 填写配置
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "claude-sonnet-4-0",
|
||||
"claude_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
- `model`: 参考 [官方模型ID](https://docs.anthropic.com/en/docs/about-claude/models/overview#model-aliases) ，例如`claude-opus-4-0`、`claude-3-7-sonnet-latest`等
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>通义千问</summary>
|
||||
|
||||
方式一：官方SDK接入，配置如下：
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "qwen-turbo",
|
||||
"dashscope_api_key": "sk-qVxxxxG"
|
||||
}
|
||||
```
|
||||
- `model`: 可填写`qwen-turbo、qwen-plus、qwen-max`
|
||||
- `dashscope_api_key`: 通义千问的 API-KEY，参考 [官方文档](https://bailian.console.aliyun.com/?tab=api#/api) ，在 [控制台](https://bailian.console.aliyun.com/?tab=model#/api-key) 创建
|
||||
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"model": "qwen-turbo",
|
||||
"open_ai_api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1",
|
||||
"open_ai_api_key": "sk-qVxxxxG"
|
||||
}
|
||||
```
|
||||
- `bot_type`: OpenAI兼容方式
|
||||
- `model`: 支持官方所有模型，参考[模型列表](https://help.aliyun.com/zh/model-studio/models?spm=a2c4g.11186623.0.0.78d84823Kth5on#9f8890ce29g5u)
|
||||
- `open_ai_api_base`: 通义千问API的 BASE URL
|
||||
- `open_ai_api_key`: 通义千问的 API-KEY，参考 [官方文档](https://bailian.console.aliyun.com/?tab=api#/api) ，在 [控制台](https://bailian.console.aliyun.com/?tab=model#/api-key) 创建
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Gemini</summary>
|
||||
|
||||
API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn) 创建API Key ，配置如下
|
||||
```json
|
||||
{
|
||||
"model": "gemini-2.5-pro",
|
||||
"gemini_api_key": ""
|
||||
}
|
||||
```
|
||||
- `model`: 参考[官方文档-模型列表](https://ai.google.dev/gemini-api/docs/models?hl=zh-cn)
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Moonshot</summary>
|
||||
|
||||
方式一：官方接入，配置如下：
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "moonshot-v1-8k",
|
||||
"moonshot_api_key": "moonshot-v1-8k"
|
||||
}
|
||||
```
|
||||
- `model`: 可填写`moonshot-v1-8k、 moonshot-v1-32k、 moonshot-v1-128k`
|
||||
- `moonshot_api_key`: Moonshot的API-KEY，在 [控制台](https://platform.moonshot.cn/console/api-keys) 创建
|
||||
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"model": "moonshot-v1-8k",
|
||||
"open_ai_api_base": "https://api.moonshot.cn/v1",
|
||||
"open_ai_api_key": ""
|
||||
}
|
||||
```
|
||||
- `bot_type`: OpenAI兼容方式
|
||||
- `model`: 可填写`moonshot-v1-8k、 moonshot-v1-32k、 moonshot-v1-128k`
|
||||
- `open_ai_api_base`: Moonshot的 BASE URL
|
||||
- `open_ai_api_key`: Moonshot的 API-KEY，在 [控制台](https://platform.moonshot.cn/console/api-keys) 创建
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>百度文心</summary>
|
||||
方式一：官方SDK接入，配置如下：
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "wenxin",
|
||||
"model": "wenxin-4",
|
||||
"baidu_wenxin_api_key": "IajztZ0bDxgnP9bEykU7lBer",
|
||||
"baidu_wenxin_secret_key": "EDPZn6L24uAS9d8RWFfotK47dPvkjD6G"
|
||||
}
|
||||
@@ -475,7 +515,7 @@ API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn)
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"model": "qwen-turbo",
|
||||
"model": "ERNIE-4.0-Turbo-8K",
|
||||
"open_ai_api_base": "https://qianfan.baidubce.com/v2",
|
||||
"open_ai_api_key": "bce-v3/ALTxxxxxxd2b"
|
||||
}
|
||||
@@ -504,7 +544,7 @@ API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn)
|
||||
}
|
||||
```
|
||||
- `model`: 填 `xunfei`
|
||||
- `xunfei_domain`: 可填写 `4.0Ultra、 generalv3.5、 max-32k、 generalv3、 pro-128k、 lite`
|
||||
- `xunfei_domain`: 可填写 `4.0Ultra、generalv3.5、max-32k、generalv3、pro-128k、lite`
|
||||
- `xunfei_spark_url`: 填写参考 [官方文档-请求地址](https://www.xfyun.cn/doc/spark/Web.html#_1-1-%E8%AF%B7%E6%B1%82%E5%9C%B0%E5%9D%80) 的说明
|
||||
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
@@ -517,71 +557,11 @@ API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn)
|
||||
}
|
||||
```
|
||||
- `bot_type`: OpenAI兼容方式
|
||||
- `model`: 可填写 `4.0Ultra、 generalv3.5、 max-32k、 generalv3、 pro-128k、 lite`
|
||||
- `model`: 可填写 `4.0Ultra、generalv3.5、max-32k、generalv3、pro-128k、lite`
|
||||
- `open_ai_api_base`: 讯飞星火平台的 BASE URL
|
||||
- `open_ai_api_key`: 讯飞星火平台的[APIPassword](https://console.xfyun.cn/services/bm3) ，因模型而已
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>智谱AI</summary>
|
||||
|
||||
方式一：官方接入，配置如下：
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "glm-4-plus",
|
||||
"zhipu_ai_api_key": ""
|
||||
}
|
||||
```
|
||||
- `model`: 可填 `glm-4-plus、glm-4-air-250414、glm-4-airx、glm-4-long 、glm-4-flashx 、glm-4-flash-250414`, 参考 [glm-4系列模型编码](https://bigmodel.cn/dev/api/normal-model/glm-4)
|
||||
- `zhipu_ai_api_key`: 智谱AI平台的 API KEY，在 [控制台](https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys) 创建
|
||||
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"model": "glm-4-plus",
|
||||
"open_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
|
||||
"open_ai_api_key": ""
|
||||
}
|
||||
```
|
||||
- `bot_type`: OpenAI兼容方式
|
||||
- `model`: 可填 `glm-4-plus、glm-4-air-250414、glm-4-airx、glm-4-long 、glm-4-flashx 、glm-4-flash-250414`, 参考 [glm-4系列模型编码](https://bigmodel.cn/dev/api/normal-model/glm-4)
|
||||
- `open_ai_api_base`: 智谱AI平台的 BASE URL
|
||||
- `open_ai_api_key`: 智谱AI平台的 API KEY，在 [控制台](https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys) 创建
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>MiniMax</summary>
|
||||
|
||||
方式一：官方接入，配置如下：
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "abab6.5-chat",
|
||||
"Minimax_api_key": "",
|
||||
"Minimax_group_id": ""
|
||||
}
|
||||
```
|
||||
- `model`: 可填写`abab6.5-chat`
|
||||
- `Minimax_api_key`：MiniMax平台的API-KEY，在 [控制台](https://platform.minimaxi.com/user-center/basic-information/interface-key) 创建
|
||||
- `Minimax_group_id`: 在 [账户信息](https://platform.minimaxi.com/user-center/basic-information) 右上角获取
|
||||
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"model": "MiniMax-M1",
|
||||
"open_ai_api_base": "https://api.minimaxi.com/v1",
|
||||
"open_ai_api_key": ""
|
||||
}
|
||||
```
|
||||
- `bot_type`: OpenAI兼容方式
|
||||
- `model`: 可填`MiniMax-M1、MiniMax-Text-01`，参考[API文档](https://platform.minimaxi.com/document/%E5%AF%B9%E8%AF%9D?key=66701d281d57f38758d581d0#QklxsNSbaf6kM4j6wjO5eEek)
|
||||
- `open_ai_api_base`: MiniMax平台API的 BASE URL
|
||||
- `open_ai_api_key`: MiniMax平台的API-KEY，在 [控制台](https://platform.minimaxi.com/user-center/basic-information/interface-key) 创建
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>ModelScope</summary>
|
||||
|
||||
@@ -608,9 +588,9 @@ API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn)
|
||||
以下对可接入通道的配置方式进行说明，应用通道代码在项目的 `channel/` 目录下。
|
||||
|
||||
<details>
|
||||
<summary>Web</summary>
|
||||
<summary>1. Web</summary>
|
||||
|
||||
项目启动后默认运行web通道，配置如下：
|
||||
项目启动后默认运行Web通道，配置如下：
|
||||
|
||||
```json
|
||||
{
|
||||
@@ -618,49 +598,65 @@ API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn)
|
||||
"web_port": 9899
|
||||
}
|
||||
```
|
||||
|
||||
- `web_port`: 默认为 9899，可按需更改，需要服务器防火墙和安全组放行该端口
|
||||
- 如本地运行，启动后请访问 `http://localhost:port/chat` ；如服务器运行，请访问 `http://ip:port/chat`
|
||||
- 如本地运行，启动后请访问 `http://localhost:9899/chat` ；如服务器运行，请访问 `http://ip:9899/chat`
|
||||
> 注：请将上述 url 中的 ip 或者 port 替换为实际的值
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Terminal</summary>
|
||||
<summary>2. Feishu - 飞书</summary>
|
||||
|
||||
修改 `config.json` 中的 `channel_type` 字段：
|
||||
飞书支持两种事件接收模式：WebSocket 长连接（推荐）和 Webhook。
|
||||
|
||||
**方式一：WebSocket 模式（推荐，无需公网 IP）**
|
||||
|
||||
```json
|
||||
{
|
||||
"channel_type": "terminal"
|
||||
"channel_type": "feishu",
|
||||
"feishu_app_id": "APP_ID",
|
||||
"feishu_app_secret": "APP_SECRET",
|
||||
"feishu_event_mode": "websocket"
|
||||
}
|
||||
```
|
||||
|
||||
运行后可在终端与机器人进行对话。
|
||||
**方式二：Webhook 模式（需要公网 IP）**
|
||||
|
||||
```json
|
||||
{
|
||||
"channel_type": "feishu",
|
||||
"feishu_app_id": "APP_ID",
|
||||
"feishu_app_secret": "APP_SECRET",
|
||||
"feishu_token": "VERIFICATION_TOKEN",
|
||||
"feishu_event_mode": "webhook",
|
||||
"feishu_port": 9891
|
||||
}
|
||||
```
|
||||
|
||||
- `feishu_event_mode`: 事件接收模式，`websocket`（推荐）或 `webhook`
|
||||
- WebSocket 模式需安装依赖：`pip3 install lark-oapi`
|
||||
|
||||
详细步骤和参数说明参考 [飞书接入](https://docs.link-ai.tech/cow/multi-platform/feishu)
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>微信公众号</summary>
|
||||
<summary>3. DingTalk - 钉钉</summary>
|
||||
|
||||
本项目支持订阅号和服务号两种公众号，通过服务号(`wechatmp_service`)体验更佳。将下列配置加入 `config.json`：
|
||||
钉钉需要在开放平台创建智能机器人应用，将以下配置填入 `config.json`：
|
||||
|
||||
```json
|
||||
{
|
||||
"channel_type": "wechatmp",
|
||||
"wechatmp_token": "TOKEN",
|
||||
"wechatmp_port": 80,
|
||||
"wechatmp_app_id": "APPID",
|
||||
"wechatmp_app_secret": "APPSECRET",
|
||||
"wechatmp_aes_key": ""
|
||||
"channel_type": "dingtalk",
|
||||
"dingtalk_client_id": "CLIENT_ID",
|
||||
"dingtalk_client_secret": "CLIENT_SECRET"
|
||||
}
|
||||
```
|
||||
- `channel_type`: 个人订阅号为`wechatmp`，企业服务号为`wechatmp_service`
|
||||
|
||||
详细步骤和参数说明参考 [微信公众号接入](https://docs.link-ai.tech/cow/multi-platform/wechat-mp)
|
||||
|
||||
详细步骤和参数说明参考 [钉钉接入](https://docs.link-ai.tech/cow/multi-platform/dingtalk)
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>企业微信应用</summary>
|
||||
<summary>4. WeCom App - 企业微信应用</summary>
|
||||
|
||||
企业微信自建应用接入需在后台创建应用并启用消息回调，配置示例：
|
||||
|
||||
@@ -680,35 +676,53 @@ API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn)
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>钉钉</summary>
|
||||
<summary>5. WeChat MP - 微信公众号</summary>
|
||||
|
||||
钉钉需要在开放平台创建智能机器人应用，将以下配置填入 `config.json`：
|
||||
本项目支持订阅号和服务号两种公众号，通过服务号（`wechatmp_service`）体验更佳。
|
||||
|
||||
**个人订阅号（wechatmp）**
|
||||
|
||||
```json
|
||||
{
|
||||
"channel_type": "dingtalk",
|
||||
"dingtalk_client_id": "CLIENT_ID",
|
||||
"dingtalk_client_secret": "CLIENT_SECRET"
|
||||
"channel_type": "wechatmp",
|
||||
"wechatmp_token": "TOKEN",
|
||||
"wechatmp_port": 80,
|
||||
"wechatmp_app_id": "APPID",
|
||||
"wechatmp_app_secret": "APPSECRET",
|
||||
"wechatmp_aes_key": ""
|
||||
}
|
||||
```
|
||||
详细步骤和参数说明参考 [钉钉接入](https://docs.link-ai.tech/cow/multi-platform/dingtalk)
|
||||
|
||||
**企业服务号（wechatmp_service）**
|
||||
|
||||
```json
|
||||
{
|
||||
"channel_type": "wechatmp_service",
|
||||
"wechatmp_token": "TOKEN",
|
||||
"wechatmp_port": 80,
|
||||
"wechatmp_app_id": "APPID",
|
||||
"wechatmp_app_secret": "APPSECRET",
|
||||
"wechatmp_aes_key": ""
|
||||
}
|
||||
```
|
||||
|
||||
详细步骤和参数说明参考 [微信公众号接入](https://docs.link-ai.tech/cow/multi-platform/wechat-mp)
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>飞书</summary>
|
||||
<summary>6. Terminal - 终端</summary>
|
||||
|
||||
通过自建应用接入AI相关能力到飞书应用中，默认已是飞书的企业用户，且具有企业管理权限，将以下配置填入 `config.json`：：
|
||||
修改 `config.json` 中的 `channel_type` 字段：
|
||||
|
||||
```json
|
||||
{
|
||||
"channel_type": "feishu",
|
||||
"feishu_app_id": "APP_ID",
|
||||
"feishu_app_secret": "APP_SECRET",
|
||||
"feishu_token": "VERIFICATION_TOKEN",
|
||||
"feishu_port": 80
|
||||
"channel_type": "terminal"
|
||||
}
|
||||
```
|
||||
详细步骤和参数说明参考 [飞书接入](https://docs.link-ai.tech/cow/multi-platform/feishu)
|
||||
|
||||
运行后可在终端与机器人进行对话。
|
||||
|
||||
</details>
|
||||
|
||||
<br/>
|
||||
@@ -728,7 +742,7 @@ FAQs： <https://github.com/zhayujie/chatgpt-on-wechat/wiki/FAQs>
|
||||
|
||||
# 🛠️ 开发
|
||||
|
||||
欢迎接入更多应用通道，参考 [Terminal代码](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/channel/terminal/terminal_channel.py) 新增自定义通道，实现接收和发送消息逻辑即可完成接入。 同时欢迎贡献新的插件，参考 [插件开发文档](https://github.com/zhayujie/chatgpt-on-wechat/tree/master/plugins)。
|
||||
欢迎接入更多应用通道，参考 [飞书通道](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/channel/feishu/feishu_channel.py) 新增自定义通道，实现接收和发送消息逻辑即可完成接入。 同时欢迎贡献新的Skills，参考 [Skill创造器说明](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/skills/skill-creator/SKILL.md)。
|
||||
|
||||
# ✉ 联系
|
||||
|
||||
|
||||
@@ -397,8 +397,8 @@ def _build_workspace_section(workspace_dir: str, language: str, is_first_convers
|
||||
"",
|
||||
"**交流规范**:",
|
||||
"",
|
||||
"- 在对话中，非必要不输出工作空间技术细节（如 SOUL.md、USER.md等文件名称，工具名称，配置等），除非用户明确询问",
|
||||
"- 例如用自然表达如「我已记住」而非「已更新 MEMORY.md」",
|
||||
"- 在对话中，不要直接输出工作空间中的技术细节，特别是不要输出 SOUL.md、USER.md、MEMORY.md 等文件名称",
|
||||
"- 例如用自然表达例如「我已记住」而不是「已更新 MEMORY.md」",
|
||||
"",
|
||||
]
|
||||
|
||||
|
||||
@@ -46,9 +46,6 @@ class Bridge(object):
|
||||
if model_type and model_type.startswith("claude"):
|
||||
self.btype["chat"] = const.CLAUDEAPI
|
||||
|
||||
if model_type in ["claude"]:
|
||||
self.btype["chat"] = const.CLAUDEAI
|
||||
|
||||
if model_type in [const.MOONSHOT, "moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k"]:
|
||||
self.btype["chat"] = const.MOONSHOT
|
||||
|
||||
|
||||
@@ -3,6 +3,7 @@ import time
|
||||
import web
|
||||
import json
|
||||
import uuid
|
||||
import io
|
||||
from queue import Queue, Empty
|
||||
from bridge.context import *
|
||||
from bridge.reply import Reply, ReplyType
|
||||
@@ -197,46 +198,50 @@ class WebChannel(ChatChannel):
|
||||
|
||||
def startup(self):
|
||||
port = conf().get("web_port", 9899)
|
||||
logger.info("""[WebChannel] 当前channel为web，可修改 config.json 配置文件中的 channel_type 字段进行切换。全部可用类型为：
|
||||
1. web: 网页
|
||||
2. terminal: 终端
|
||||
3. feishu: 飞书
|
||||
4. dingtalk: 钉钉
|
||||
5. wechatcom_app: 企微自建应用
|
||||
6. wechatmp: 个人公众号
|
||||
7. wechatmp_service: 企业公众号""")
|
||||
logger.info(f"✅ Web对话网页已运行, 请使用浏览器访问 http://localhost:{port}/chat (本地运行) 或 http://ip:{port}/chat (服务器运行)")
|
||||
|
||||
# 打印可用渠道类型提示
|
||||
logger.info("[WebChannel] 当前channel为web，可修改 config.json 配置文件中的 channel_type 字段进行切换。全部可用类型为：")
|
||||
logger.info("[WebChannel] 1. web - 网页")
|
||||
logger.info("[WebChannel] 2. terminal - 终端")
|
||||
logger.info("[WebChannel] 3. feishu - 飞书")
|
||||
logger.info("[WebChannel] 4. dingtalk - 钉钉")
|
||||
logger.info("[WebChannel] 5. wechatcom_app - 企微自建应用")
|
||||
logger.info("[WebChannel] 6. wechatmp - 个人公众号")
|
||||
logger.info("[WebChannel] 7. wechatmp_service - 企业公众号")
|
||||
logger.info(f"[WebChannel] 🌐 本地访问: http://localhost:{port}/chat")
|
||||
logger.info(f"[WebChannel] 🌍 服务器访问: http://YOUR_IP:{port}/chat (请将YOUR_IP替换为服务器IP)")
|
||||
logger.info("[WebChannel] ✅ Web对话网页已运行")
|
||||
|
||||
# 确保静态文件目录存在
|
||||
static_dir = os.path.join(os.path.dirname(__file__), 'static')
|
||||
if not os.path.exists(static_dir):
|
||||
os.makedirs(static_dir)
|
||||
logger.info(f"Created static directory: {static_dir}")
|
||||
logger.debug(f"[WebChannel] Created static directory: {static_dir}")
|
||||
|
||||
urls = (
|
||||
'/', 'RootHandler', # 添加根路径处理器
|
||||
'/', 'RootHandler',
|
||||
'/message', 'MessageHandler',
|
||||
'/poll', 'PollHandler', # 添加轮询处理器
|
||||
'/poll', 'PollHandler',
|
||||
'/chat', 'ChatHandler',
|
||||
'/config', 'ConfigHandler', # 添加配置处理器
|
||||
'/assets/(.*)', 'AssetsHandler', # 匹配 /assets/任何路径
|
||||
'/config', 'ConfigHandler',
|
||||
'/assets/(.*)', 'AssetsHandler',
|
||||
)
|
||||
app = web.application(urls, globals(), autoreload=False)
|
||||
|
||||
# 完全禁用web.py的HTTP日志输出
|
||||
# 创建一个空的日志处理函数
|
||||
def null_log_function(status, environ):
|
||||
pass
|
||||
|
||||
# 替换web.py的日志函数
|
||||
web.httpserver.LogMiddleware.log = lambda self, status, environ: None
|
||||
|
||||
# 配置web.py的日志级别为ERROR
|
||||
logging.getLogger("web").setLevel(logging.ERROR)
|
||||
logging.getLogger("web.httpserver").setLevel(logging.ERROR)
|
||||
|
||||
# 启动服务器
|
||||
web.httpserver.runsimple(app.wsgifunc(), ("0.0.0.0", port))
|
||||
# 抑制 web.py 默认的服务器启动消息
|
||||
old_stdout = sys.stdout
|
||||
sys.stdout = io.StringIO()
|
||||
try:
|
||||
web.httpserver.runsimple(app.wsgifunc(), ("0.0.0.0", port))
|
||||
finally:
|
||||
sys.stdout = old_stdout
|
||||
|
||||
|
||||
class RootHandler:
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
# -*- coding=utf-8 -*-
|
||||
import io
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
|
||||
import requests
|
||||
@@ -35,9 +36,8 @@ class WechatComAppChannel(ChatChannel):
|
||||
self.agent_id = conf().get("wechatcomapp_agent_id")
|
||||
self.token = conf().get("wechatcomapp_token")
|
||||
self.aes_key = conf().get("wechatcomapp_aes_key")
|
||||
print(self.corp_id, self.secret, self.agent_id, self.token, self.aes_key)
|
||||
logger.info(
|
||||
"[wechatcom] init: corp_id: {}, secret: {}, agent_id: {}, token: {}, aes_key: {}".format(self.corp_id, self.secret, self.agent_id, self.token, self.aes_key)
|
||||
"[wechatcom] Initializing WeCom app channel, corp_id: {}, agent_id: {}".format(self.corp_id, self.agent_id)
|
||||
)
|
||||
self.crypto = WeChatCrypto(self.token, self.aes_key, self.corp_id)
|
||||
self.client = WechatComAppClient(self.corp_id, self.secret)
|
||||
@@ -47,7 +47,17 @@ class WechatComAppChannel(ChatChannel):
|
||||
urls = ("/wxcomapp/?", "channel.wechatcom.wechatcomapp_channel.Query")
|
||||
app = web.application(urls, globals(), autoreload=False)
|
||||
port = conf().get("wechatcomapp_port", 9898)
|
||||
web.httpserver.runsimple(app.wsgifunc(), ("0.0.0.0", port))
|
||||
logger.info("[wechatcom] ✅ WeCom app channel started successfully")
|
||||
logger.info("[wechatcom] 📡 Listening on http://0.0.0.0:{}/wxcomapp/".format(port))
|
||||
logger.info("[wechatcom] 🤖 Ready to receive messages")
|
||||
|
||||
# Suppress web.py's default server startup message
|
||||
old_stdout = sys.stdout
|
||||
sys.stdout = io.StringIO()
|
||||
try:
|
||||
web.httpserver.runsimple(app.wsgifunc(), ("0.0.0.0", port))
|
||||
finally:
|
||||
sys.stdout = old_stdout
|
||||
|
||||
def send(self, reply: Reply, context: Context):
|
||||
receiver = context["receiver"]
|
||||
@@ -74,6 +84,10 @@ class WechatComAppChannel(ChatChannel):
|
||||
response = self.client.media.upload("voice", open(path, "rb"))
|
||||
logger.debug("[wechatcom] upload voice response: {}".format(response))
|
||||
media_ids.append(response["media_id"])
|
||||
except ImportError as e:
|
||||
logger.error("[wechatcom] voice conversion failed: {}".format(e))
|
||||
logger.error("[wechatcom] please install pydub: pip install pydub")
|
||||
return
|
||||
except WeChatClientException as e:
|
||||
logger.error("[wechatcom] upload voice failed: {}".format(e))
|
||||
return
|
||||
|
||||
@@ -21,7 +21,11 @@ from common.log import logger
|
||||
from common.singleton import singleton
|
||||
from common.utils import split_string_by_utf8_length, remove_markdown_symbol
|
||||
from config import conf
|
||||
from voice.audio_convert import any_to_mp3, split_audio
|
||||
|
||||
try:
|
||||
from voice.audio_convert import any_to_mp3, split_audio
|
||||
except ImportError as e:
|
||||
logger.debug("import voice.audio_convert failed, voice features will not be supported: {}".format(e))
|
||||
|
||||
# If using SSL, uncomment the following lines, and modify the certificate path.
|
||||
# from cheroot.server import HTTPServer
|
||||
@@ -85,26 +89,31 @@ class WechatMPChannel(ChatChannel):
|
||||
logger.info("[wechatmp] text cached, receiver {}\n{}".format(receiver, reply_text))
|
||||
self.cache_dict[receiver].append(("text", reply_text))
|
||||
elif reply.type == ReplyType.VOICE:
|
||||
voice_file_path = reply.content
|
||||
duration, files = split_audio(voice_file_path, 60 * 1000)
|
||||
if len(files) > 1:
|
||||
logger.info("[wechatmp] voice too long {}s > 60s , split into {} parts".format(duration / 1000.0, len(files)))
|
||||
try:
|
||||
voice_file_path = reply.content
|
||||
duration, files = split_audio(voice_file_path, 60 * 1000)
|
||||
if len(files) > 1:
|
||||
logger.info("[wechatmp] voice too long {}s > 60s , split into {} parts".format(duration / 1000.0, len(files)))
|
||||
|
||||
for path in files:
|
||||
# support: <2M, <60s, mp3/wma/wav/amr
|
||||
try:
|
||||
with open(path, "rb") as f:
|
||||
response = self.client.material.add("voice", f)
|
||||
logger.debug("[wechatmp] upload voice response: {}".format(response))
|
||||
f_size = os.fstat(f.fileno()).st_size
|
||||
time.sleep(1.0 + 2 * f_size / 1024 / 1024)
|
||||
# todo check media_id
|
||||
except WeChatClientException as e:
|
||||
logger.error("[wechatmp] upload voice failed: {}".format(e))
|
||||
return
|
||||
media_id = response["media_id"]
|
||||
logger.info("[wechatmp] voice uploaded, receiver {}, media_id {}".format(receiver, media_id))
|
||||
self.cache_dict[receiver].append(("voice", media_id))
|
||||
for path in files:
|
||||
# support: <2M, <60s, mp3/wma/wav/amr
|
||||
try:
|
||||
with open(path, "rb") as f:
|
||||
response = self.client.material.add("voice", f)
|
||||
logger.debug("[wechatmp] upload voice response: {}".format(response))
|
||||
f_size = os.fstat(f.fileno()).st_size
|
||||
time.sleep(1.0 + 2 * f_size / 1024 / 1024)
|
||||
# todo check media_id
|
||||
except WeChatClientException as e:
|
||||
logger.error("[wechatmp] upload voice failed: {}".format(e))
|
||||
return
|
||||
media_id = response["media_id"]
|
||||
logger.info("[wechatmp] voice uploaded, receiver {}, media_id {}".format(receiver, media_id))
|
||||
self.cache_dict[receiver].append(("voice", media_id))
|
||||
except ImportError as e:
|
||||
logger.error("[wechatmp] voice conversion failed: {}".format(e))
|
||||
logger.error("[wechatmp] please install pydub: pip install pydub")
|
||||
return
|
||||
|
||||
elif reply.type == ReplyType.IMAGE_URL: # 从网络下载图片
|
||||
img_url = reply.content
|
||||
@@ -213,6 +222,10 @@ class WechatMPChannel(ChatChannel):
|
||||
logger.debug("[wechatcom] upload voice response: {}".format(response))
|
||||
media_ids.append(response["media_id"])
|
||||
os.remove(path)
|
||||
except ImportError as e:
|
||||
logger.error("[wechatmp] voice conversion failed: {}".format(e))
|
||||
logger.error("[wechatmp] please install pydub: pip install pydub")
|
||||
return
|
||||
except WeChatClientException as e:
|
||||
logger.error("[wechatmp] upload voice failed: {}".format(e))
|
||||
return
|
||||
|
||||
191
common/const.py
191
common/const.py
@@ -1,77 +1,93 @@
|
||||
# bot_type
|
||||
# 厂商类型
|
||||
OPEN_AI = "openAI"
|
||||
CHATGPT = "chatGPT"
|
||||
BAIDU = "baidu" # 百度文心一言模型
|
||||
BAIDU = "baidu"
|
||||
XUNFEI = "xunfei"
|
||||
CHATGPTONAZURE = "chatGPTOnAzure"
|
||||
LINKAI = "linkai"
|
||||
CLAUDEAI = "claude" # 使用cookie的历史模型
|
||||
CLAUDEAPI= "claudeAPI" # 通过Claude api调用模型
|
||||
QWEN = "qwen" # 旧版通义模型
|
||||
QWEN_DASHSCOPE = "dashscope" # 通义新版sdk和api key
|
||||
|
||||
|
||||
GEMINI = "gemini" # gemini-1.0-pro
|
||||
CLAUDEAPI= "claudeAPI"
|
||||
QWEN = "qwen" # 旧版千问接入
|
||||
QWEN_DASHSCOPE = "dashscope" # 新版千问接入(百炼)
|
||||
GEMINI = "gemini"
|
||||
ZHIPU_AI = "glm-4"
|
||||
MOONSHOT = "moonshot"
|
||||
MiniMax = "minimax"
|
||||
MODELSCOPE = "modelscope"
|
||||
|
||||
# model
|
||||
# 模型列表
|
||||
# Claude (Anthropic)
|
||||
CLAUDE3 = "claude-3-opus-20240229"
|
||||
GPT35 = "gpt-3.5-turbo"
|
||||
GPT35_0125 = "gpt-3.5-turbo-0125"
|
||||
GPT35_1106 = "gpt-3.5-turbo-1106"
|
||||
|
||||
GPT_4o = "gpt-4o"
|
||||
GPT_4O_0806 = "gpt-4o-2024-08-06"
|
||||
GPT4_TURBO = "gpt-4-turbo"
|
||||
GPT4_TURBO_PREVIEW = "gpt-4-turbo-preview"
|
||||
GPT4_TURBO_04_09 = "gpt-4-turbo-2024-04-09"
|
||||
GPT4_TURBO_01_25 = "gpt-4-0125-preview"
|
||||
GPT4_TURBO_11_06 = "gpt-4-1106-preview"
|
||||
GPT4_VISION_PREVIEW = "gpt-4-vision-preview"
|
||||
|
||||
GPT4 = "gpt-4"
|
||||
GPT_4o_MINI = "gpt-4o-mini"
|
||||
GPT4_32k = "gpt-4-32k"
|
||||
GPT4_06_13 = "gpt-4-0613"
|
||||
GPT4_32k_06_13 = "gpt-4-32k-0613"
|
||||
GPT_41 = "gpt-4.1"
|
||||
GPT_41_MINI = "gpt-4.1-mini"
|
||||
GPT_41_NANO = "gpt-4.1-nano"
|
||||
|
||||
GPT_5 = "gpt-5"
|
||||
GPT_5_MINI = "gpt-5-mini"
|
||||
GPT_5_NANO = "gpt-5-nano"
|
||||
|
||||
O1 = "o1-preview"
|
||||
O1_MINI = "o1-mini"
|
||||
|
||||
WHISPER_1 = "whisper-1"
|
||||
TTS_1 = "tts-1"
|
||||
TTS_1_HD = "tts-1-hd"
|
||||
|
||||
WEN_XIN = "wenxin"
|
||||
WEN_XIN_4 = "wenxin-4"
|
||||
|
||||
QWEN_TURBO = "qwen-turbo"
|
||||
QWEN_PLUS = "qwen-plus"
|
||||
QWEN_MAX = "qwen-max"
|
||||
|
||||
LINKAI_35 = "linkai-3.5"
|
||||
LINKAI_4_TURBO = "linkai-4-turbo"
|
||||
LINKAI_4o = "linkai-4o"
|
||||
CLAUDE_3_OPUS = "claude-3-opus-latest"
|
||||
CLAUDE_3_OPUS_0229 = "claude-3-opus-20240229"
|
||||
CLAUDE_3_SONNET = "claude-3-sonnet-20240229"
|
||||
CLAUDE_3_HAIKU = "claude-3-haiku-20240307"
|
||||
CLAUDE_35_SONNET = "claude-3-5-sonnet-latest" # 带 latest 标签的模型名称，会不断更新指向最新发布的模型
|
||||
CLAUDE_35_SONNET_1022 = "claude-3-5-sonnet-20241022" # 带具体日期的模型名称，会固定为该日期发布的模型
|
||||
CLAUDE_35_SONNET_0620 = "claude-3-5-sonnet-20240620"
|
||||
CLAUDE_4_OPUS = "claude-opus-4-0"
|
||||
CLAUDE_4_SONNET = "claude-sonnet-4-0" # Claude Sonnet 4.0 - Agent推荐模型
|
||||
CLAUDE_4_5_SONNET = "claude-sonnet-4-5" # Claude Sonnet 4.5 - Agent推荐模型
|
||||
|
||||
# Gemini (Google)
|
||||
GEMINI_PRO = "gemini-1.0-pro"
|
||||
GEMINI_15_flash = "gemini-1.5-flash"
|
||||
GEMINI_15_PRO = "gemini-1.5-pro"
|
||||
GEMINI_20_flash_exp = "gemini-2.0-flash-exp" # exp结尾为实验模型，会逐步不再支持
|
||||
GEMINI_20_FLASH = "gemini-2.0-flash" # 正式版模型
|
||||
GEMINI_25_FLASH_PRE = "gemini-2.5-flash-preview-05-20" # preview为预览版模型 ，主要是新能力体验
|
||||
GEMINI_25_FLASH_PRE = "gemini-2.5-flash-preview-05-20" # preview为预览版模型，主要是新能力体验
|
||||
GEMINI_25_PRO_PRE = "gemini-2.5-pro-preview-05-06"
|
||||
GEMINI_3_FLASH_PRE = "gemini-3-flash-preview" # Gemini 3 Flash Preview - Agent推荐模型
|
||||
GEMINI_3_PRO_PRE = "gemini-3-pro-preview" # Gemini 3 Pro Preview - Agent推荐模型
|
||||
|
||||
# OpenAI
|
||||
GPT35 = "gpt-3.5-turbo"
|
||||
GPT35_0125 = "gpt-3.5-turbo-0125"
|
||||
GPT35_1106 = "gpt-3.5-turbo-1106"
|
||||
GPT4 = "gpt-4"
|
||||
GPT4_06_13 = "gpt-4-0613"
|
||||
GPT4_32k = "gpt-4-32k"
|
||||
GPT4_32k_06_13 = "gpt-4-32k-0613"
|
||||
GPT4_TURBO = "gpt-4-turbo"
|
||||
GPT4_TURBO_PREVIEW = "gpt-4-turbo-preview"
|
||||
GPT4_TURBO_01_25 = "gpt-4-0125-preview"
|
||||
GPT4_TURBO_11_06 = "gpt-4-1106-preview"
|
||||
GPT4_TURBO_04_09 = "gpt-4-turbo-2024-04-09"
|
||||
GPT4_VISION_PREVIEW = "gpt-4-vision-preview"
|
||||
GPT_4o = "gpt-4o"
|
||||
GPT_4O_0806 = "gpt-4o-2024-08-06"
|
||||
GPT_4o_MINI = "gpt-4o-mini"
|
||||
GPT_41 = "gpt-4.1"
|
||||
GPT_41_MINI = "gpt-4.1-mini"
|
||||
GPT_41_NANO = "gpt-4.1-nano"
|
||||
GPT_5 = "gpt-5"
|
||||
GPT_5_MINI = "gpt-5-mini"
|
||||
GPT_5_NANO = "gpt-5-nano"
|
||||
O1 = "o1-preview"
|
||||
O1_MINI = "o1-mini"
|
||||
WHISPER_1 = "whisper-1"
|
||||
TTS_1 = "tts-1"
|
||||
TTS_1_HD = "tts-1-hd"
|
||||
|
||||
# DeepSeek
|
||||
DEEPSEEK_CHAT = "deepseek-chat" # DeepSeek-V3对话模型
|
||||
DEEPSEEK_REASONER = "deepseek-reasoner" # DeepSeek-R1模型
|
||||
|
||||
# Qwen (通义千问 - 阿里云)
|
||||
QWEN = "qwen"
|
||||
QWEN_TURBO = "qwen-turbo"
|
||||
QWEN_PLUS = "qwen-plus"
|
||||
QWEN_MAX = "qwen-max"
|
||||
QWEN_LONG = "qwen-long"
|
||||
QWEN3_MAX = "qwen3-max" # Qwen3 Max - Agent推荐模型
|
||||
QWQ_PLUS = "qwq-plus"
|
||||
|
||||
# MiniMax
|
||||
MINIMAX_M2_1 = "MiniMax-M2.1" # MiniMax M2.1 - Agent推荐模型
|
||||
MINIMAX_M2_1_LIGHTNING = "MiniMax-M2.1-lightning" # MiniMax M2.1 极速版
|
||||
MINIMAX_M2 = "MiniMax-M2" # MiniMax M2
|
||||
MINIMAX_ABAB6_5 = "abab6.5-chat" # MiniMax abab6.5
|
||||
|
||||
# GLM (智谱AI)
|
||||
GLM_4 = "glm-4"
|
||||
GLM_4_PLUS = "glm-4-plus"
|
||||
GLM_4_flash = "glm-4-flash"
|
||||
@@ -80,20 +96,19 @@ GLM_4_ALLTOOLS = "glm-4-alltools"
|
||||
GLM_4_0520 = "glm-4-0520"
|
||||
GLM_4_AIR = "glm-4-air"
|
||||
GLM_4_AIRX = "glm-4-airx"
|
||||
GLM_4_7 = "glm-4.7" # 智谱 GLM-4.7 - Agent推荐模型
|
||||
|
||||
# Kimi (Moonshot)
|
||||
MOONSHOT = "moonshot"
|
||||
|
||||
CLAUDE_3_OPUS = "claude-3-opus-latest"
|
||||
CLAUDE_3_OPUS_0229 = "claude-3-opus-20240229"
|
||||
CLAUDE_35_SONNET = "claude-3-5-sonnet-latest" # 带 latest 标签的模型名称，会不断更新指向最新发布的模型
|
||||
CLAUDE_35_SONNET_1022 = "claude-3-5-sonnet-20241022" # 带具体日期的模型名称，会固定为该日期发布的模型
|
||||
CLAUDE_35_SONNET_0620 = "claude-3-5-sonnet-20240620"
|
||||
CLAUDE_3_SONNET = "claude-3-sonnet-20240229"
|
||||
CLAUDE_3_HAIKU = "claude-3-haiku-20240307"
|
||||
CLAUDE_4_SONNET = "claude-sonnet-4-0"
|
||||
CLAUDE_4_OPUS = "claude-opus-4-0"
|
||||
|
||||
DEEPSEEK_CHAT = "deepseek-chat" # DeepSeek-V3对话模型
|
||||
DEEPSEEK_REASONER = "deepseek-reasoner" # DeepSeek-R1模型
|
||||
# 其他模型
|
||||
WEN_XIN = "wenxin"
|
||||
WEN_XIN_4 = "wenxin-4"
|
||||
XUNFEI = "xunfei"
|
||||
LINKAI_35 = "linkai-3.5"
|
||||
LINKAI_4_TURBO = "linkai-4-turbo"
|
||||
LINKAI_4o = "linkai-4o"
|
||||
MODELSCOPE = "modelscope"
|
||||
|
||||
GITEE_AI_MODEL_LIST = ["Yi-34B-Chat", "InternVL2-8B", "deepseek-coder-33B-instruct", "InternVL2.5-26B", "Qwen2-VL-72B", "Qwen2.5-32B-Instruct", "glm-4-9b-chat", "codegeex4-all-9b", "Qwen2.5-Coder-32B-Instruct", "Qwen2.5-72B-Instruct", "Qwen2.5-7B-Instruct", "Qwen2-72B-Instruct", "Qwen2-7B-Instruct", "code-raccoon-v1", "Qwen2.5-14B-Instruct"]
|
||||
|
||||
@@ -104,19 +119,43 @@ MODELSCOPE_MODEL_LIST = ["LLM-Research/c4ai-command-r-plus-08-2024","mistralai/M
|
||||
"deepseek-ai/DeepSeek-R1-Distill-Qwen-14B","deepseek-ai/DeepSeek-R1-Distill-Qwen-7B","deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B","deepseek-ai/DeepSeek-R1","deepseek-ai/DeepSeek-V3","Qwen/QwQ-32B"]
|
||||
|
||||
MODEL_LIST = [
|
||||
# Claude
|
||||
CLAUDE3, CLAUDE_4_OPUS, CLAUDE_4_5_SONNET, CLAUDE_4_SONNET, CLAUDE_3_OPUS, CLAUDE_3_OPUS_0229,
|
||||
CLAUDE_35_SONNET, CLAUDE_35_SONNET_1022, CLAUDE_35_SONNET_0620, CLAUDE_3_SONNET, CLAUDE_3_HAIKU,
|
||||
"claude", "claude-3-haiku", "claude-3-sonnet", "claude-3-opus", "claude-3.5-sonnet",
|
||||
|
||||
# Gemini
|
||||
GEMINI_3_PRO_PRE, GEMINI_3_FLASH_PRE, GEMINI_25_PRO_PRE, GEMINI_25_FLASH_PRE,
|
||||
GEMINI_20_FLASH, GEMINI_20_flash_exp, GEMINI_15_PRO, GEMINI_15_flash, GEMINI_PRO, GEMINI,
|
||||
|
||||
# OpenAI
|
||||
GPT35, GPT35_0125, GPT35_1106, "gpt-3.5-turbo-16k",
|
||||
GPT_41, GPT_41_MINI, GPT_41_NANO, O1, O1_MINI, GPT_4o, GPT_4O_0806, GPT_4o_MINI, GPT4_TURBO, GPT4_TURBO_PREVIEW, GPT4_TURBO_01_25, GPT4_TURBO_11_06, GPT4, GPT4_32k, GPT4_06_13, GPT4_32k_06_13,
|
||||
GPT4, GPT4_06_13, GPT4_32k, GPT4_32k_06_13,
|
||||
GPT4_TURBO, GPT4_TURBO_PREVIEW, GPT4_TURBO_01_25, GPT4_TURBO_11_06, GPT4_TURBO_04_09,
|
||||
GPT_4o, GPT_4O_0806, GPT_4o_MINI,
|
||||
GPT_41, GPT_41_MINI, GPT_41_NANO,
|
||||
GPT_5, GPT_5_MINI, GPT_5_NANO,
|
||||
WEN_XIN, WEN_XIN_4,
|
||||
XUNFEI,
|
||||
ZHIPU_AI, GLM_4, GLM_4_PLUS, GLM_4_flash, GLM_4_LONG, GLM_4_ALLTOOLS, GLM_4_0520, GLM_4_AIR, GLM_4_AIRX,
|
||||
MOONSHOT, MiniMax,
|
||||
GEMINI_25_PRO_PRE, GEMINI_25_FLASH_PRE, GEMINI_20_FLASH, GEMINI, GEMINI_PRO, GEMINI_15_flash, GEMINI_15_PRO, GEMINI_20_flash_exp,
|
||||
CLAUDE_4_OPUS, CLAUDE_4_SONNET, CLAUDE_3_OPUS, CLAUDE_3_OPUS_0229, CLAUDE_35_SONNET, CLAUDE_35_SONNET_1022, CLAUDE_35_SONNET_0620, CLAUDE_3_SONNET, CLAUDE_3_HAIKU, "claude", "claude-3-haiku", "claude-3-sonnet", "claude-3-opus", "claude-3.5-sonnet",
|
||||
"moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k",
|
||||
QWEN, QWEN_TURBO, QWEN_PLUS, QWEN_MAX,
|
||||
LINKAI_35, LINKAI_4_TURBO, LINKAI_4o,
|
||||
O1, O1_MINI,
|
||||
|
||||
# DeepSeek
|
||||
DEEPSEEK_CHAT, DEEPSEEK_REASONER,
|
||||
|
||||
# Qwen
|
||||
QWEN, QWEN_TURBO, QWEN_PLUS, QWEN_MAX, QWEN_LONG, QWEN3_MAX,
|
||||
|
||||
# MiniMax
|
||||
MiniMax, MINIMAX_M2_1, MINIMAX_M2_1_LIGHTNING, MINIMAX_M2, MINIMAX_ABAB6_5,
|
||||
|
||||
# GLM
|
||||
ZHIPU_AI, GLM_4, GLM_4_PLUS, GLM_4_flash, GLM_4_LONG, GLM_4_ALLTOOLS,
|
||||
GLM_4_0520, GLM_4_AIR, GLM_4_AIRX, GLM_4_7,
|
||||
|
||||
# Kimi
|
||||
MOONSHOT, "moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k",
|
||||
|
||||
# 其他模型
|
||||
WEN_XIN, WEN_XIN_4, XUNFEI,
|
||||
LINKAI_35, LINKAI_4_TURBO, LINKAI_4o,
|
||||
MODELSCOPE
|
||||
]
|
||||
|
||||
|
||||
@@ -189,7 +189,7 @@ available_setting = {
|
||||
"web_port": 9899,
|
||||
"agent": True, # 是否开启Agent模式
|
||||
"agent_workspace": "~/cow", # agent工作空间路径，用于存储skills、memory等
|
||||
"agent_max_context_tokens": 40000, # Agent模式下最大上下文tokens
|
||||
"agent_max_context_tokens": 50000, # Agent模式下最大上下文tokens
|
||||
"agent_max_context_turns": 30, # Agent模式下最大上下文记忆轮次
|
||||
"agent_max_steps": 15, # Agent模式下单次运行最大决策步数
|
||||
}
|
||||
|
||||
@@ -21,5 +21,6 @@ services:
|
||||
EXPIRES_IN_SECONDS: 3600
|
||||
USE_GLOBAL_PLUGIN_CONFIG: 'True'
|
||||
USE_LINKAI: 'False'
|
||||
AGENT: 'True'
|
||||
LINKAI_API_KEY: ''
|
||||
LINKAI_APP_CODE: ''
|
||||
|
||||
@@ -40,9 +40,6 @@ def create_bot(bot_type):
|
||||
from models.linkai.link_ai_bot import LinkAIBot
|
||||
return LinkAIBot()
|
||||
|
||||
elif bot_type == const.CLAUDEAI:
|
||||
from models.claude.claude_ai_bot import ClaudeAIBot
|
||||
return ClaudeAIBot()
|
||||
elif bot_type == const.CLAUDEAPI:
|
||||
from models.claudeapi.claude_api_bot import ClaudeAPIBot
|
||||
return ClaudeAPIBot()
|
||||
|
||||
@@ -12,10 +12,6 @@ numpy<=1.24.2
|
||||
langid # language detect
|
||||
elevenlabs==1.0.3 # elevenlabs TTS
|
||||
|
||||
# wechatcom & wechatmp
|
||||
web.py
|
||||
wechatpy
|
||||
|
||||
#install plugin
|
||||
dulwich
|
||||
|
||||
|
||||
@@ -13,6 +13,10 @@ python-dotenv>=1.0.0
|
||||
PyYAML>=6.0
|
||||
croniter>=2.0.0
|
||||
|
||||
# wechatcom & wechatmp
|
||||
web.py
|
||||
wechatpy
|
||||
|
||||
# zhipuai
|
||||
zai-sdk
|
||||
# tongyi qwen sdk
|
||||
|
||||
@@ -15,11 +15,15 @@ import time
|
||||
|
||||
from bridge.reply import Reply, ReplyType
|
||||
from common.log import logger
|
||||
from voice.audio_convert import get_pcm_from_wav
|
||||
from voice.voice import Voice
|
||||
from voice.ali.ali_api import AliyunTokenGenerator, speech_to_text_aliyun, text_to_speech_aliyun
|
||||
from config import conf
|
||||
|
||||
try:
|
||||
from voice.audio_convert import get_pcm_from_wav
|
||||
except ImportError as e:
|
||||
logger.debug("import voice.audio_convert failed: {}".format(e))
|
||||
|
||||
|
||||
class AliVoice(Voice):
|
||||
def __init__(self):
|
||||
|
||||
@@ -8,7 +8,13 @@ try:
|
||||
except ImportError:
|
||||
logger.debug("import pysilk failed, wechaty voice message will not be supported.")
|
||||
|
||||
from pydub import AudioSegment
|
||||
try:
|
||||
from pydub import AudioSegment
|
||||
_pydub_available = True
|
||||
except ImportError:
|
||||
logger.debug("import pydub failed, voice conversion features will not be supported.")
|
||||
AudioSegment = None
|
||||
_pydub_available = False
|
||||
|
||||
sil_supports = [8000, 12000, 16000, 24000, 32000, 44100, 48000] # slk转wav时，支持的采样率
|
||||
|
||||
@@ -44,6 +50,8 @@ def any_to_mp3(any_path, mp3_path):
|
||||
"""
|
||||
把任意格式转成mp3文件
|
||||
"""
|
||||
if not _pydub_available:
|
||||
raise ImportError("pydub is required for audio conversion. Please install it with: pip install pydub")
|
||||
if any_path.endswith(".mp3"):
|
||||
shutil.copy2(any_path, mp3_path)
|
||||
return
|
||||
@@ -58,6 +66,8 @@ def any_to_wav(any_path, wav_path):
|
||||
"""
|
||||
把任意格式转成wav文件
|
||||
"""
|
||||
if not _pydub_available:
|
||||
raise ImportError("pydub is required for audio conversion. Please install it with: pip install pydub")
|
||||
if any_path.endswith(".wav"):
|
||||
shutil.copy2(any_path, wav_path)
|
||||
return
|
||||
@@ -73,6 +83,8 @@ def any_to_sil(any_path, sil_path):
|
||||
"""
|
||||
把任意格式转成sil文件
|
||||
"""
|
||||
if not _pydub_available:
|
||||
raise ImportError("pydub is required for audio conversion. Please install it with: pip install pydub")
|
||||
if any_path.endswith(".sil") or any_path.endswith(".silk") or any_path.endswith(".slk"):
|
||||
shutil.copy2(any_path, sil_path)
|
||||
return 10000
|
||||
@@ -92,6 +104,8 @@ def any_to_amr(any_path, amr_path):
|
||||
"""
|
||||
把任意格式转成amr文件
|
||||
"""
|
||||
if not _pydub_available:
|
||||
raise ImportError("pydub is required for audio conversion. Please install it with: pip install pydub")
|
||||
if any_path.endswith(".amr"):
|
||||
shutil.copy2(any_path, amr_path)
|
||||
return
|
||||
@@ -116,6 +130,8 @@ def split_audio(file_path, max_segment_length_ms=60000):
|
||||
"""
|
||||
分割音频文件
|
||||
"""
|
||||
if not _pydub_available:
|
||||
raise ImportError("pydub is required for audio conversion. Please install it with: pip install pydub")
|
||||
audio = AudioSegment.from_file(file_path)
|
||||
audio_length_ms = len(audio)
|
||||
if audio_length_ms <= max_segment_length_ms:
|
||||
|
||||
@@ -13,9 +13,13 @@ from bridge.reply import Reply, ReplyType
|
||||
from common.log import logger
|
||||
from common.tmp_dir import TmpDir
|
||||
from config import conf
|
||||
from voice.audio_convert import get_pcm_from_wav
|
||||
from voice.voice import Voice
|
||||
|
||||
try:
|
||||
from voice.audio_convert import get_pcm_from_wav
|
||||
except ImportError as e:
|
||||
logger.debug("import voice.audio_convert failed: {}".format(e))
|
||||
|
||||
class BaiduVoice(Voice):
|
||||
def __init__(self):
|
||||
try:
|
||||
|
||||
@@ -28,9 +28,15 @@ from config import conf
|
||||
from voice.voice import Voice
|
||||
from .xunfei_asr import xunfei_asr
|
||||
from .xunfei_tts import xunfei_tts
|
||||
from voice.audio_convert import any_to_mp3
|
||||
import shutil
|
||||
from pydub import AudioSegment
|
||||
|
||||
try:
|
||||
from voice.audio_convert import any_to_mp3
|
||||
from pydub import AudioSegment
|
||||
_audio_available = True
|
||||
except ImportError as e:
|
||||
logger.debug("import audio libraries failed: {}".format(e))
|
||||
_audio_available = False
|
||||
|
||||
|
||||
class XunfeiVoice(Voice):
|
||||
|
||||
Reference in New Issue
Block a user