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feat-qq-ch
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2.0.3
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94
README.md
94
README.md
@@ -12,7 +12,8 @@
|
||||
<p align="center">
|
||||
<a href="https://cowagent.ai/">🌐 官网</a> ·
|
||||
<a href="https://docs.cowagent.ai/">📖 文档中心</a> ·
|
||||
<a href="https://docs.cowagent.ai/guide/quick-start">🚀 快速开始</a>
|
||||
<a href="https://docs.cowagent.ai/guide/quick-start">🚀 快速开始</a> ·
|
||||
<a href="https://link-ai.tech/cowagent/create">☁️ 在线体验</a>
|
||||
</p>
|
||||
|
||||
|
||||
@@ -26,8 +27,7 @@
|
||||
- ✅ **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
|
||||
- ✅ **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
|
||||
- ✅ **多模型接入：** 支持OpenAI, Claude, Gemini, DeepSeek, MiniMax、GLM、Qwen、Kimi、Doubao等国内外主流模型厂商
|
||||
- ✅ **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
|
||||
- ✅ **知识库：** 集成企业知识库能力，让Agent成为专属数字员工，基于[LinkAI](https://link-ai.tech)平台实现
|
||||
- ✅ **多端部署：** 支持运行在本地计算机或服务器，可集成到飞书、钉钉、企业微信、QQ、微信公众号、网页中使用
|
||||
|
||||
## 声明
|
||||
|
||||
@@ -37,9 +37,11 @@
|
||||
|
||||
## 演示
|
||||
|
||||
使用说明(Agent模式)：[CowAgent介绍](https://docs.cowagent.ai/intro/features)
|
||||
- 使用说明(Agent模式)：[CowAgent介绍](https://docs.cowagent.ai/intro/features)
|
||||
|
||||
DEMO视频(对话模式)：https://cdn.link-ai.tech/doc/cow_demo.mp4
|
||||
- 免部署在线体验：[CowAgent](https://link-ai.tech/cowagent/create)
|
||||
|
||||
- DEMO视频(对话模式)：https://cdn.link-ai.tech/doc/cow_demo.mp4
|
||||
|
||||
## 社区
|
||||
|
||||
@@ -51,9 +53,9 @@ DEMO视频(对话模式)：https://cdn.link-ai.tech/doc/cow_demo.mp4
|
||||
|
||||
# 企业服务
|
||||
|
||||
<a href="https://link-ai.tech" target="_blank"><img width="720" src="https://cdn.link-ai.tech/image/link-ai-intro.jpg"></a>
|
||||
<a href="https://link-ai.tech" target="_blank"><img width="650" src="https://cdn.link-ai.tech/image/link-ai-intro.jpg"></a>
|
||||
|
||||
> [LinkAI](https://link-ai.tech/) 是面向企业和开发者的一站式AI智能体平台，聚合多模态大模型、知识库、Agent 插件、工作流等能力，支持一键接入主流平台并进行管理，支持SaaS、私有化部署等多种模式。
|
||||
> [LinkAI](https://link-ai.tech/) 是面向企业和个人的一站式AI智能体平台，聚合多模态大模型、知识库、技能、工作流等能力，支持一键接入主流平台并管理，支持SaaS、私有化部署等多种模式，可免部署在线运行[CowAgent助理](https://link-ai.tech/cowagent/create)。
|
||||
>
|
||||
> LinkAI 目前已在智能客服、私域运营、企业效率助手等场景积累了丰富的AI解决方案，在消费、健康、文教、科技制造等各行业沉淀了大模型落地应用的最佳实践，致力于帮助更多企业和开发者拥抱 AI 生产力。
|
||||
|
||||
@@ -65,6 +67,8 @@ DEMO视频(对话模式)：https://cdn.link-ai.tech/doc/cow_demo.mp4
|
||||
|
||||
# 🏷 更新日志
|
||||
|
||||
>**2026.03.18：** [2.0.3版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/2.0.3)，新增企微智能机器人和 QQ 通道、支持Coding Plan、新增多个模型、Web端文件处理、记忆系统升级。
|
||||
|
||||
>**2026.02.27：** [2.0.2版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/2.0.2)，Web 控制台全面升级（流式对话、模型/技能/记忆/通道/定时任务/日志管理）、支持多通道同时运行、会话持久化存储、新增多个模型。
|
||||
|
||||
>**2026.02.13：** [2.0.1版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/2.0.1)，内置 Web Search 工具、智能上下文裁剪策略、运行时信息动态更新、Windows 兼容性适配，修复定时任务记忆丢失、飞书连接等多项问题。
|
||||
@@ -86,7 +90,7 @@ DEMO视频(对话模式)：https://cdn.link-ai.tech/doc/cow_demo.mp4
|
||||
在终端执行以下命令：
|
||||
|
||||
```bash
|
||||
bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
```
|
||||
|
||||
脚本使用说明：[一键运行脚本](https://docs.cowagent.ai/guide/quick-start)
|
||||
@@ -98,9 +102,9 @@ bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
|
||||
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)。
|
||||
|
||||
> 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：MiniMax-M2.5、glm-5、kimi-k2.5、qwen3.5-plus、claude-sonnet-4-6、gemini-3.1-pro-preview、gpt-5.4
|
||||
> 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：MiniMax-M2.5、glm-5、kimi-k2.5、qwen3.5-plus、claude-sonnet-4-6、gemini-3.1-pro-preview、gpt-5.4、gpt-5.4-mini
|
||||
|
||||
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)。
|
||||
同时支持使用 **LinkAI平台** 接口，支持上述全部模型，并支持知识库、工作流、插件等Agent技能，参考 [接口文档](https://docs.link-ai.tech/platform/api)。
|
||||
|
||||
### 2.环境安装
|
||||
|
||||
@@ -161,7 +165,7 @@ pip3 install -r requirements-optional.txt
|
||||
"speech_recognition": false, # 是否开启语音识别
|
||||
"group_speech_recognition": false, # 是否开启群组语音识别
|
||||
"voice_reply_voice": false, # 是否使用语音回复语音
|
||||
"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
|
||||
"use_linkai": false, # 是否使用LinkAI接口，默认关闭，设置为true后可对接LinkAI平台模型
|
||||
"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
|
||||
"agent_workspace": "~/cow", # Agent的工作空间路径，用于存储memory、skills、系统设定等
|
||||
"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
|
||||
@@ -191,9 +195,8 @@ pip3 install -r requirements-optional.txt
|
||||
<details>
|
||||
<summary>3. LinkAI配置</summary>
|
||||
|
||||
+ `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)
|
||||
+ `use_linkai`: 是否使用LinkAI接口，默认关闭，设置为true后可对接LinkAI平台，使用模型、知识库、工作流、插件等技能, 参考[接口文档](https://docs.link-ai.tech/platform/api/chat)
|
||||
+ `linkai_api_key`: LinkAI Api Key，可在 [控制台](https://link-ai.tech/console/interface) 创建
|
||||
+ `linkai_app_code`: LinkAI 应用或工作流的code，选填，普通对话模式中使用。
|
||||
</details>
|
||||
|
||||
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。
|
||||
@@ -223,8 +226,9 @@ nohup python3 app.py & tail -f nohup.out
|
||||
|
||||
执行后程序运行于服务器后台，可通过 `ctrl+c` 关闭日志，不会影响后台程序的运行。使用 `ps -ef | grep app.py | grep -v grep` 命令可查看运行于后台的进程，如果想要重新启动程序可以先 `kill` 掉对应的进程。 日志关闭后如果想要再次打开只需输入 `tail -f nohup.out`。
|
||||
|
||||
此外，项目的 `scripts` 目录下有一键运行、关闭程序的脚本供使用。 运行后默认channel为web，通过可以通过修改配置文件进行切换。
|
||||
此外，项目根目录下的 `run.sh` 脚本支持一键启动和管理服务，包括 `./run.sh start`、`./run.sh stop`、`./run.sh restart`、`./run.sh logs` 等命令，执行 `./run.sh help` 可查看全部用法。
|
||||
|
||||
> 如果需要通过浏览器访问Web控制台，请确保服务器的 `9899` 端口已在防火墙或安全组中放行，建议仅对指定IP开放以保证安全。
|
||||
|
||||
### 3.Docker部署
|
||||
|
||||
@@ -235,7 +239,7 @@ nohup python3 app.py & tail -f nohup.out
|
||||
**(1) 下载 docker-compose.yml 文件**
|
||||
|
||||
```bash
|
||||
wget https://cdn.link-ai.tech/code/cow/docker-compose.yml
|
||||
curl -O https://cdn.link-ai.tech/code/cow/docker-compose.yml
|
||||
```
|
||||
|
||||
下载完成后打开 `docker-compose.yml` 填写所需配置，例如 `CHANNEL_TYPE`、`OPEN_AI_API_KEY` 和等配置。
|
||||
@@ -254,17 +258,7 @@ sudo docker compose up -d # 若docker-compose为 1.X 版本，则执行
|
||||
sudo docker logs -f chatgpt-on-wechat
|
||||
```
|
||||
|
||||
**(3) 插件使用**
|
||||
|
||||
如果需要在docker容器中修改插件配置，可通过挂载的方式完成，将 [插件配置文件](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/plugins/config.json.template)
|
||||
重命名为 `config.json`，放置于 `docker-compose.yml` 相同目录下，并在 `docker-compose.yml` 中的 `chatgpt-on-wechat` 部分下添加 `volumes` 映射:
|
||||
|
||||
```
|
||||
volumes:
|
||||
- ./config.json:/app/plugins/config.json
|
||||
```
|
||||
**注**：使用docker方式部署的详细教程可以参考：[docker部署CoW项目](https://www.wangpc.cc/ai/docker-deploy-cow/)
|
||||
|
||||
> 如果需要通过浏览器访问Web控制台，请确保服务器的 `9899` 端口已在防火墙或安全组中放行，建议仅对指定IP开放以保证安全。
|
||||
|
||||
## 模型说明
|
||||
|
||||
@@ -282,13 +276,13 @@ volumes:
|
||||
"model": "gpt-5.4",
|
||||
"open_ai_api_key": "YOUR_API_KEY",
|
||||
"open_ai_api_base": "https://api.openai.com/v1",
|
||||
"bot_type": "chatGPT"
|
||||
"bot_type": "openai"
|
||||
}
|
||||
```
|
||||
|
||||
- `model`: 与OpenAI接口的 [model参数](https://platform.openai.com/docs/models) 一致，支持包括 gpt-5.4、o系列、gpt-4.1等模型，Agent模式推荐使用 `gpt-5.4`
|
||||
- `model`: 与OpenAI接口的 [model参数](https://platform.openai.com/docs/models) 一致，支持包括 gpt-5.4、gpt-5.4-mini、gpt-5.4-nano、o系列、gpt-4.1等模型，Agent模式推荐使用 `gpt-5.4`、`gpt-5.4-mini`
|
||||
- `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`
|
||||
- `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 `openai`
|
||||
</details>
|
||||
|
||||
<details>
|
||||
@@ -300,16 +294,15 @@ volumes:
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "gpt-5.4-mini",
|
||||
"use_linkai": true,
|
||||
"linkai_api_key": "YOUR API KEY",
|
||||
"linkai_app_code": "YOUR APP CODE"
|
||||
"linkai_api_key": "YOUR API KEY"
|
||||
}
|
||||
```
|
||||
|
||||
+ `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
|
||||
+ `use_linkai`: 是否使用LinkAI接口，默认关闭，设置为true后可对接LinkAI平台的模型，并使用知识库、工作流、数据库、插件等丰富的Agent技能
|
||||
+ `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，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
|
||||
+ `model`: [模型列表](https://link-ai.tech/console/models)中的全部模型均可使用
|
||||
</details>
|
||||
|
||||
<details>
|
||||
@@ -329,7 +322,7 @@ volumes:
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "MiniMax-M2.5",
|
||||
"open_ai_api_base": "https://api.minimaxi.com/v1",
|
||||
"open_ai_api_key": ""
|
||||
@@ -358,7 +351,7 @@ volumes:
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "glm-5",
|
||||
"open_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
|
||||
"open_ai_api_key": ""
|
||||
@@ -387,7 +380,7 @@ volumes:
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "qwen3.5-plus",
|
||||
"open_ai_api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1",
|
||||
"open_ai_api_key": "sk-qVxxxxG"
|
||||
@@ -416,7 +409,7 @@ volumes:
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "kimi-k2.5",
|
||||
"open_ai_api_base": "https://api.moonshot.cn/v1",
|
||||
"open_ai_api_key": ""
|
||||
@@ -486,8 +479,8 @@ API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn)
|
||||
{
|
||||
"model": "deepseek-chat",
|
||||
"open_ai_api_key": "sk-xxxxxxxxxxx",
|
||||
"open_ai_api_base": "https://api.deepseek.com/v1",
|
||||
"bot_type": "chatGPT"
|
||||
"open_ai_api_base": "https://api.deepseek.com/v1",
|
||||
"bot_type": "openai"
|
||||
|
||||
}
|
||||
```
|
||||
@@ -542,7 +535,7 @@ API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn)
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "ERNIE-4.0-Turbo-8K",
|
||||
"open_ai_api_base": "https://qianfan.baidubce.com/v2",
|
||||
"open_ai_api_key": "bce-v3/ALTxxxxxxd2b"
|
||||
@@ -578,7 +571,7 @@ API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn)
|
||||
方式二：OpenAI兼容方式接入，配置如下：
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "4.0Ultra",
|
||||
"open_ai_api_base": "https://spark-api-open.xf-yun.com/v1",
|
||||
"open_ai_api_key": ""
|
||||
@@ -610,6 +603,23 @@ API Key创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn)
|
||||
- `text_to_image`: 图像生成模型，参考[模型列表](https://www.modelscope.cn/models?filter=inference_type&page=1)
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Coding Plan</summary>
|
||||
|
||||
Coding Plan 是各厂商推出的编程包月套餐，所有厂商均可通过 OpenAI 兼容方式接入：
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "模型名称",
|
||||
"open_ai_api_base": "厂商 Coding Plan API Base",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
目前支持阿里云、MiniMax、智谱GLM、Kimi、火山引擎等厂商，各厂商详细配置请参考 [Coding Plan 文档](https://docs.cowagent.ai/models/coding-plan)。
|
||||
</details>
|
||||
|
||||
|
||||
## 通道说明
|
||||
|
||||
|
||||
@@ -376,7 +376,7 @@ def _build_workspace_section(workspace_dir: str, language: str) -> List[str]:
|
||||
"",
|
||||
"以下文件在会话启动时**已经自动加载**到系统提示词的「项目上下文」section 中，你**无需再用 read 工具读取它们**：",
|
||||
"",
|
||||
"- ✅ `AGENT.md`: 已加载 - 你的人格和灵魂设定。当用户修改你的名字、性格或交流风格时，用 `edit` 更新此文件",
|
||||
"- ✅ `AGENT.md`: 已加载 - 你的人格和灵魂设定。当你的名字、性格或交流风格发生变化时，主动用 `edit` 更新此文件",
|
||||
"- ✅ `USER.md`: 已加载 - 用户的身份信息。当用户修改称呼、姓名等身份信息时，用 `edit` 更新此文件",
|
||||
"- ✅ `RULE.md`: 已加载 - 工作空间使用指南和规则",
|
||||
"",
|
||||
@@ -423,7 +423,8 @@ def _build_context_files_section(context_files: List[ContextFile], language: str
|
||||
]
|
||||
|
||||
if has_agent:
|
||||
lines.append("如果存在 `AGENT.md`，请体现其中定义的人格和语气。避免僵硬、模板化的回复；遵循其指导，除非有更高优先级的指令覆盖它。")
|
||||
lines.append("**`AGENT.md` 是你的灵魂文件**：严格体现其中定义的人格、语气和设定，避免僵硬、模板化的回复。")
|
||||
lines.append("当用户通过对话透露了对你性格、风格、职责、能力边界的新期望，你应该主动用 `edit` 更新 AGENT.md 以反映这些演变。")
|
||||
lines.append("")
|
||||
|
||||
# 添加每个文件的内容
|
||||
|
||||
@@ -609,14 +609,14 @@ class AgentStreamExecutor:
|
||||
"arguments": ""
|
||||
}
|
||||
|
||||
if "id" in tc_delta:
|
||||
if tc_delta.get("id"):
|
||||
tool_calls_buffer[index]["id"] = tc_delta["id"]
|
||||
|
||||
if "function" in tc_delta:
|
||||
func = tc_delta["function"]
|
||||
if "name" in func:
|
||||
if func.get("name"):
|
||||
tool_calls_buffer[index]["name"] = func["name"]
|
||||
if "arguments" in func:
|
||||
if func.get("arguments"):
|
||||
tool_calls_buffer[index]["arguments"] += func["arguments"]
|
||||
|
||||
# Preserve _gemini_raw_parts for Gemini thoughtSignature round-trip
|
||||
@@ -720,9 +720,9 @@ class AgentStreamExecutor:
|
||||
)
|
||||
else:
|
||||
if retry_count >= max_retries:
|
||||
logger.error(f"❌ LLM API error after {max_retries} retries: {e}")
|
||||
logger.error(f"❌ LLM API error after {max_retries} retries: {e}", exc_info=True)
|
||||
else:
|
||||
logger.error(f"❌ LLM call error (non-retryable): {e}")
|
||||
logger.error(f"❌ LLM call error (non-retryable): {e}", exc_info=True)
|
||||
raise
|
||||
|
||||
# Parse tool calls
|
||||
@@ -875,7 +875,7 @@ class AgentStreamExecutor:
|
||||
try:
|
||||
tool = self.tools.get(tool_name)
|
||||
if not tool:
|
||||
raise ValueError(f"Tool '{tool_name}' not found")
|
||||
raise ValueError(self._build_tool_not_found_message(tool_name))
|
||||
|
||||
# Set tool context
|
||||
tool.model = self.model
|
||||
@@ -929,6 +929,47 @@ class AgentStreamExecutor:
|
||||
})
|
||||
return error_result
|
||||
|
||||
def _build_tool_not_found_message(self, tool_name: str) -> str:
|
||||
"""Build a helpful error message when a tool is not found.
|
||||
|
||||
If a skill with the same name exists in skill_manager, read its
|
||||
SKILL.md and include the content so the LLM knows how to use it.
|
||||
"""
|
||||
available_tools = list(self.tools.keys())
|
||||
base_msg = f"Tool '{tool_name}' not found. Available tools: {available_tools}"
|
||||
|
||||
skill_manager = getattr(self.agent, 'skill_manager', None)
|
||||
if not skill_manager:
|
||||
return base_msg
|
||||
|
||||
skill_entry = skill_manager.get_skill(tool_name)
|
||||
if not skill_entry:
|
||||
return base_msg
|
||||
|
||||
skill = skill_entry.skill
|
||||
skill_md_path = skill.file_path
|
||||
skill_content = ""
|
||||
try:
|
||||
with open(skill_md_path, 'r', encoding='utf-8') as f:
|
||||
skill_content = f.read()
|
||||
except Exception:
|
||||
skill_content = skill.description
|
||||
|
||||
logger.info(
|
||||
f"[Agent] Tool '{tool_name}' not found, but matched skill '{skill.name}'. "
|
||||
f"Guiding LLM to use the skill instead."
|
||||
)
|
||||
|
||||
return (
|
||||
f"Tool '{tool_name}' is not a built-in tool, but a matching skill "
|
||||
f"'{skill.name}' is available. You should use existing tools (e.g. bash with curl) "
|
||||
f"to accomplish this task following the skill instructions below:\n\n"
|
||||
f"--- SKILL: {skill.name} (path: {skill_md_path}) ---\n"
|
||||
f"{skill_content}\n"
|
||||
f"--- END SKILL ---\n\n"
|
||||
f"Available tools: {available_tools}"
|
||||
)
|
||||
|
||||
def _validate_and_fix_messages(self):
|
||||
"""Delegate to the shared sanitizer (see message_sanitizer.py)."""
|
||||
sanitize_claude_messages(self.messages)
|
||||
|
||||
@@ -91,7 +91,7 @@ class SkillLoader:
|
||||
continue
|
||||
|
||||
# Check if this is a skill file
|
||||
is_root_md = include_root_files and entry.endswith('.md')
|
||||
is_root_md = include_root_files and entry.endswith('.md') and entry.upper() != 'README.MD'
|
||||
is_skill_md = not include_root_files and entry == 'SKILL.md'
|
||||
|
||||
if not (is_root_md or is_skill_md):
|
||||
|
||||
@@ -48,7 +48,8 @@ class Read(BaseTool):
|
||||
self.binary_extensions = {'.exe', '.dll', '.so', '.dylib', '.bin', '.dat', '.db', '.sqlite'}
|
||||
self.archive_extensions = {'.zip', '.tar', '.gz', '.rar', '.7z', '.bz2', '.xz'}
|
||||
self.pdf_extensions = {'.pdf'}
|
||||
|
||||
self.office_extensions = {'.doc', '.docx', '.xls', '.xlsx', '.ppt', '.pptx'}
|
||||
|
||||
# Readable text formats (will be read with truncation)
|
||||
self.text_extensions = {
|
||||
'.txt', '.md', '.markdown', '.rst', '.log', '.csv', '.tsv', '.json', '.xml', '.yaml', '.yml',
|
||||
@@ -57,7 +58,6 @@ class Read(BaseTool):
|
||||
'.sh', '.bash', '.zsh', '.fish', '.ps1', '.bat', '.cmd',
|
||||
'.sql', '.r', '.m', '.swift', '.kt', '.scala', '.clj', '.erl', '.ex',
|
||||
'.dockerfile', '.makefile', '.cmake', '.gradle', '.properties', '.ini', '.conf', '.cfg',
|
||||
'.doc', '.docx', '.xls', '.xlsx', '.ppt', '.pptx' # Office documents
|
||||
}
|
||||
|
||||
def execute(self, args: Dict[str, Any]) -> ToolResult:
|
||||
@@ -120,7 +120,11 @@ class Read(BaseTool):
|
||||
# Check if PDF
|
||||
if file_ext in self.pdf_extensions:
|
||||
return self._read_pdf(absolute_path, path, offset, limit)
|
||||
|
||||
|
||||
# Check if Office document (.docx, .xlsx, .pptx, etc.)
|
||||
if file_ext in self.office_extensions:
|
||||
return self._read_office(absolute_path, path, file_ext, offset, limit)
|
||||
|
||||
# Read text file (with truncation for large files)
|
||||
return self._read_text(absolute_path, path, offset, limit)
|
||||
|
||||
@@ -337,6 +341,116 @@ class Read(BaseTool):
|
||||
except Exception as e:
|
||||
return ToolResult.fail(f"Error reading file: {str(e)}")
|
||||
|
||||
def _read_office(self, absolute_path: str, display_path: str, file_ext: str,
|
||||
offset: int = None, limit: int = None) -> ToolResult:
|
||||
"""Read Office documents (.docx, .xlsx, .pptx) using python-docx / openpyxl / python-pptx."""
|
||||
try:
|
||||
text = self._extract_office_text(absolute_path, file_ext)
|
||||
except ImportError as e:
|
||||
return ToolResult.fail(str(e))
|
||||
except Exception as e:
|
||||
return ToolResult.fail(f"Error reading Office document: {e}")
|
||||
|
||||
if not text or not text.strip():
|
||||
return ToolResult.success({
|
||||
"content": f"[Office file {Path(absolute_path).name}: no text content could be extracted]",
|
||||
})
|
||||
|
||||
all_lines = text.split('\n')
|
||||
total_lines = len(all_lines)
|
||||
|
||||
start_line = 0
|
||||
if offset is not None:
|
||||
if offset < 0:
|
||||
start_line = max(0, total_lines + offset)
|
||||
else:
|
||||
start_line = max(0, offset - 1)
|
||||
if start_line >= total_lines:
|
||||
return ToolResult.fail(
|
||||
f"Error: Offset {offset} is beyond end of content ({total_lines} lines total)"
|
||||
)
|
||||
|
||||
selected_content = text
|
||||
user_limited_lines = None
|
||||
if limit is not None:
|
||||
end_line = min(start_line + limit, total_lines)
|
||||
selected_content = '\n'.join(all_lines[start_line:end_line])
|
||||
user_limited_lines = end_line - start_line
|
||||
elif offset is not None:
|
||||
selected_content = '\n'.join(all_lines[start_line:])
|
||||
|
||||
truncation = truncate_head(selected_content)
|
||||
start_line_display = start_line + 1
|
||||
output_text = ""
|
||||
|
||||
if truncation.truncated:
|
||||
end_line_display = start_line_display + truncation.output_lines - 1
|
||||
next_offset = end_line_display + 1
|
||||
output_text = truncation.content
|
||||
output_text += f"\n\n[Showing lines {start_line_display}-{end_line_display} of {total_lines}. Use offset={next_offset} to continue.]"
|
||||
elif user_limited_lines is not None and start_line + user_limited_lines < total_lines:
|
||||
remaining = total_lines - (start_line + user_limited_lines)
|
||||
next_offset = start_line + user_limited_lines + 1
|
||||
output_text = truncation.content
|
||||
output_text += f"\n\n[{remaining} more lines in file. Use offset={next_offset} to continue.]"
|
||||
else:
|
||||
output_text = truncation.content
|
||||
|
||||
return ToolResult.success({
|
||||
"content": output_text,
|
||||
"total_lines": total_lines,
|
||||
"start_line": start_line_display,
|
||||
"output_lines": truncation.output_lines,
|
||||
})
|
||||
|
||||
@staticmethod
|
||||
def _extract_office_text(absolute_path: str, file_ext: str) -> str:
|
||||
"""Extract plain text from an Office document."""
|
||||
if file_ext in ('.docx', '.doc'):
|
||||
try:
|
||||
from docx import Document
|
||||
except ImportError:
|
||||
raise ImportError("Error: python-docx library not installed. Install with: pip install python-docx")
|
||||
doc = Document(absolute_path)
|
||||
paragraphs = [p.text for p in doc.paragraphs]
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
paragraphs.append('\t'.join(cell.text for cell in row.cells))
|
||||
return '\n'.join(paragraphs)
|
||||
|
||||
if file_ext in ('.xlsx', '.xls'):
|
||||
try:
|
||||
from openpyxl import load_workbook
|
||||
except ImportError:
|
||||
raise ImportError("Error: openpyxl library not installed. Install with: pip install openpyxl")
|
||||
wb = load_workbook(absolute_path, read_only=True, data_only=True)
|
||||
parts = []
|
||||
for ws in wb.worksheets:
|
||||
parts.append(f"--- Sheet: {ws.title} ---")
|
||||
for row in ws.iter_rows(values_only=True):
|
||||
parts.append('\t'.join(str(c) if c is not None else '' for c in row))
|
||||
wb.close()
|
||||
return '\n'.join(parts)
|
||||
|
||||
if file_ext in ('.pptx', '.ppt'):
|
||||
try:
|
||||
from pptx import Presentation
|
||||
except ImportError:
|
||||
raise ImportError("Error: python-pptx library not installed. Install with: pip install python-pptx")
|
||||
prs = Presentation(absolute_path)
|
||||
parts = []
|
||||
for i, slide in enumerate(prs.slides, 1):
|
||||
parts.append(f"--- Slide {i} ---")
|
||||
for shape in slide.shapes:
|
||||
if shape.has_text_frame:
|
||||
for para in shape.text_frame.paragraphs:
|
||||
text = para.text.strip()
|
||||
if text:
|
||||
parts.append(text)
|
||||
return '\n'.join(parts)
|
||||
|
||||
return ""
|
||||
|
||||
def _read_pdf(self, absolute_path: str, display_path: str, offset: int = None, limit: int = None) -> ToolResult:
|
||||
"""
|
||||
Read PDF file content
|
||||
|
||||
@@ -35,7 +35,7 @@ class Vision(BaseTool):
|
||||
|
||||
name: str = "vision"
|
||||
description: str = (
|
||||
"Analyze an image (local file or URL) using Vision API. "
|
||||
"Analyze a local image or image URL (jpg/jpeg/png) using Vision API. "
|
||||
"Can describe content, extract text, identify objects, colors, etc. "
|
||||
"Requires OPENAI_API_KEY or LINKAI_API_KEY."
|
||||
)
|
||||
|
||||
@@ -78,7 +78,7 @@ class WebFetch(BaseTool):
|
||||
|
||||
name: str = "web_fetch"
|
||||
description: str = (
|
||||
"Fetch content from a URL. For web pages, extracts readable text. "
|
||||
"Fetch content from a http/https URL. For web pages, extracts readable text. "
|
||||
"For document files (PDF, Word, TXT, Markdown, Excel, PPT), downloads and parses the file content. "
|
||||
"Supported file types: .pdf, .docx, .txt, .md, .csv, .xls, .xlsx, .ppt, .pptx"
|
||||
)
|
||||
|
||||
@@ -106,7 +106,7 @@ class AgentLLMModel(LLMModel):
|
||||
return configured_bot_type
|
||||
|
||||
if not model_name or not isinstance(model_name, str):
|
||||
return const.CHATGPT
|
||||
return const.OPENAI
|
||||
if model_name in self._MODEL_BOT_TYPE_MAP:
|
||||
return self._MODEL_BOT_TYPE_MAP[model_name]
|
||||
if model_name.lower().startswith("minimax") or model_name in ["abab6.5-chat"]:
|
||||
@@ -116,11 +116,11 @@ class AgentLLMModel(LLMModel):
|
||||
if model_name in [const.MOONSHOT, "moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k"]:
|
||||
return const.MOONSHOT
|
||||
if model_name in [const.DEEPSEEK_CHAT, const.DEEPSEEK_REASONER]:
|
||||
return const.CHATGPT
|
||||
return const.OPENAI
|
||||
for prefix, btype in self._MODEL_PREFIX_MAP:
|
||||
if model_name.startswith(prefix):
|
||||
return btype
|
||||
return const.CHATGPT
|
||||
return const.OPENAI
|
||||
|
||||
@property
|
||||
def bot(self):
|
||||
@@ -278,12 +278,13 @@ class AgentBridge:
|
||||
tools=tools,
|
||||
max_steps=kwargs.get("max_steps", 15),
|
||||
output_mode=kwargs.get("output_mode", "logger"),
|
||||
workspace_dir=kwargs.get("workspace_dir"), # Pass workspace for skills loading
|
||||
enable_skills=kwargs.get("enable_skills", True), # Enable skills by default
|
||||
memory_manager=kwargs.get("memory_manager"), # Pass memory manager
|
||||
workspace_dir=kwargs.get("workspace_dir"),
|
||||
skill_manager=kwargs.get("skill_manager"),
|
||||
enable_skills=kwargs.get("enable_skills", True),
|
||||
memory_manager=kwargs.get("memory_manager"),
|
||||
max_context_tokens=kwargs.get("max_context_tokens"),
|
||||
context_reserve_tokens=kwargs.get("context_reserve_tokens"),
|
||||
runtime_info=kwargs.get("runtime_info") # Pass runtime_info for dynamic time updates
|
||||
runtime_info=kwargs.get("runtime_info"),
|
||||
)
|
||||
|
||||
# Log skill loading details
|
||||
|
||||
@@ -13,7 +13,7 @@ from voice.factory import create_voice
|
||||
class Bridge(object):
|
||||
def __init__(self):
|
||||
self.btype = {
|
||||
"chat": const.CHATGPT,
|
||||
"chat": const.OPENAI,
|
||||
"voice_to_text": conf().get("voice_to_text", "openai"),
|
||||
"text_to_voice": conf().get("text_to_voice", "google"),
|
||||
"translate": conf().get("translate", "baidu"),
|
||||
|
||||
@@ -299,7 +299,7 @@ class QQChannel(ChatChannel):
|
||||
self._send_identify()
|
||||
|
||||
elif op == OP_HEARTBEAT_ACK:
|
||||
logger.debug("[QQ] Heartbeat ACK received")
|
||||
pass
|
||||
|
||||
elif op == OP_HEARTBEAT:
|
||||
self._ws_send({"op": OP_HEARTBEAT, "d": self._last_seq})
|
||||
|
||||
@@ -267,30 +267,44 @@
|
||||
|
||||
<!-- Chat Input -->
|
||||
<div class="flex-shrink-0 border-t border-slate-200 dark:border-white/10 bg-white dark:bg-[#1A1A1A] px-4 py-3">
|
||||
<div class="max-w-3xl mx-auto flex items-center gap-2">
|
||||
<button id="new-chat-btn" class="flex-shrink-0 w-10 h-10 flex items-center justify-center rounded-lg
|
||||
text-slate-400 hover:text-primary-500 hover:bg-primary-50 dark:hover:bg-primary-900/20
|
||||
cursor-pointer transition-colors duration-150" title="New Chat"
|
||||
onclick="newChat()">
|
||||
<i class="fas fa-plus text-base"></i>
|
||||
</button>
|
||||
<textarea id="chat-input"
|
||||
class="flex-1 min-w-0 px-4 py-[10px] rounded-xl border border-slate-200 dark:border-slate-600
|
||||
bg-slate-50 dark:bg-white/5 text-slate-800 dark:text-slate-100
|
||||
placeholder:text-slate-400 dark:placeholder:text-slate-500
|
||||
focus:outline-none focus:ring-0 focus:border-primary-600
|
||||
text-sm leading-relaxed"
|
||||
rows="1"
|
||||
data-i18n-placeholder="input_placeholder"
|
||||
placeholder="Type a message..."></textarea>
|
||||
<button id="send-btn"
|
||||
class="flex-shrink-0 w-10 h-10 flex items-center justify-center rounded-lg
|
||||
bg-primary-400 text-white hover:bg-primary-500
|
||||
disabled:bg-slate-300 dark:disabled:bg-slate-600
|
||||
disabled:cursor-not-allowed cursor-pointer transition-colors duration-150"
|
||||
disabled onclick="sendMessage()">
|
||||
<i class="fas fa-paper-plane text-sm"></i>
|
||||
</button>
|
||||
<div class="max-w-3xl mx-auto">
|
||||
<!-- Attachment preview bar -->
|
||||
<div id="attachment-preview" class="attachment-preview hidden"></div>
|
||||
<div class="flex items-center gap-2">
|
||||
<div class="flex items-center flex-shrink-0">
|
||||
<button id="new-chat-btn" class="w-9 h-10 flex items-center justify-center rounded-lg
|
||||
text-slate-400 hover:text-primary-500 hover:bg-primary-50 dark:hover:bg-primary-900/20
|
||||
cursor-pointer transition-colors duration-150" title="New Chat"
|
||||
onclick="newChat()">
|
||||
<i class="fas fa-plus text-base"></i>
|
||||
</button>
|
||||
<button id="attach-btn" class="w-9 h-10 flex items-center justify-center rounded-lg
|
||||
text-slate-400 hover:text-primary-500 hover:bg-primary-50 dark:hover:bg-primary-900/20
|
||||
cursor-pointer transition-colors duration-150"
|
||||
title="Attach file" onclick="document.getElementById('file-input').click()">
|
||||
<i class="fas fa-paperclip text-base"></i>
|
||||
</button>
|
||||
</div>
|
||||
<input type="file" id="file-input" class="hidden" multiple
|
||||
accept="image/*,.pdf,.doc,.docx,.xls,.xlsx,.ppt,.pptx,.txt,.csv,.json,.xml,.zip,.rar,.7z,.py,.js,.ts,.java,.c,.cpp,.go,.rs,.md">
|
||||
<textarea id="chat-input"
|
||||
class="flex-1 min-w-0 px-4 py-[10px] rounded-xl border border-slate-200 dark:border-slate-600
|
||||
bg-slate-50 dark:bg-white/5 text-slate-800 dark:text-slate-100
|
||||
placeholder:text-slate-400 dark:placeholder:text-slate-500
|
||||
focus:outline-none focus:ring-0 focus:border-primary-600
|
||||
text-sm leading-relaxed"
|
||||
rows="1"
|
||||
data-i18n-placeholder="input_placeholder"
|
||||
placeholder="Type a message..."></textarea>
|
||||
<button id="send-btn"
|
||||
class="flex-shrink-0 w-10 h-10 flex items-center justify-center rounded-lg
|
||||
bg-primary-400 text-white hover:bg-primary-500
|
||||
disabled:bg-slate-300 dark:disabled:bg-slate-600
|
||||
disabled:cursor-not-allowed cursor-pointer transition-colors duration-150"
|
||||
disabled onclick="sendMessage()">
|
||||
<i class="fas fa-paper-plane text-sm"></i>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -344,6 +344,100 @@
|
||||
transition: border-color 0.2s ease;
|
||||
}
|
||||
|
||||
/* Attachment Preview Bar */
|
||||
.attachment-preview {
|
||||
display: flex;
|
||||
flex-wrap: wrap;
|
||||
gap: 8px;
|
||||
padding: 8px 0;
|
||||
}
|
||||
.attachment-preview.hidden { display: none; }
|
||||
|
||||
.att-thumb {
|
||||
position: relative;
|
||||
width: 64px; height: 64px;
|
||||
border-radius: 8px;
|
||||
overflow: hidden;
|
||||
border: 1px solid #e2e8f0;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
.dark .att-thumb { border-color: rgba(255,255,255,0.1); }
|
||||
.att-thumb img {
|
||||
width: 100%; height: 100%;
|
||||
object-fit: cover;
|
||||
}
|
||||
|
||||
.att-chip {
|
||||
position: relative;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
padding: 6px 28px 6px 10px;
|
||||
border-radius: 8px;
|
||||
background: #f1f5f9;
|
||||
border: 1px solid #e2e8f0;
|
||||
font-size: 12px;
|
||||
color: #475569;
|
||||
max-width: 180px;
|
||||
}
|
||||
.dark .att-chip { background: rgba(255,255,255,0.05); border-color: rgba(255,255,255,0.1); color: #94a3b8; }
|
||||
.att-uploading { opacity: 0.6; pointer-events: none; }
|
||||
.att-name {
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.att-remove {
|
||||
position: absolute;
|
||||
top: -4px; right: -4px;
|
||||
width: 18px; height: 18px;
|
||||
border-radius: 50%;
|
||||
background: #ef4444;
|
||||
color: #fff;
|
||||
border: none;
|
||||
font-size: 12px;
|
||||
line-height: 18px;
|
||||
text-align: center;
|
||||
cursor: pointer;
|
||||
padding: 0;
|
||||
opacity: 0;
|
||||
transition: opacity 0.15s;
|
||||
}
|
||||
.att-thumb:hover .att-remove,
|
||||
.att-chip:hover .att-remove { opacity: 1; }
|
||||
|
||||
/* Drag-over highlight */
|
||||
.drag-over {
|
||||
background: rgba(74, 190, 110, 0.08) !important;
|
||||
border-color: #4ABE6E !important;
|
||||
}
|
||||
|
||||
/* User message attachments */
|
||||
.user-msg-attachments {
|
||||
display: flex;
|
||||
flex-wrap: wrap;
|
||||
gap: 6px;
|
||||
margin-bottom: 6px;
|
||||
}
|
||||
.user-msg-image {
|
||||
max-width: 200px;
|
||||
max-height: 160px;
|
||||
border-radius: 8px;
|
||||
object-fit: cover;
|
||||
cursor: pointer;
|
||||
}
|
||||
.user-msg-image:hover { opacity: 0.9; }
|
||||
.user-msg-file {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
padding: 4px 10px;
|
||||
border-radius: 6px;
|
||||
background: rgba(255,255,255,0.15);
|
||||
font-size: 12px;
|
||||
}
|
||||
|
||||
/* Placeholder Cards */
|
||||
.placeholder-card {
|
||||
transition: transform 0.2s ease, box-shadow 0.2s ease;
|
||||
|
||||
@@ -5,7 +5,7 @@
|
||||
// =====================================================================
|
||||
// Version — update this before each release
|
||||
// =====================================================================
|
||||
const APP_VERSION = 'v2.0.2';
|
||||
const APP_VERSION = 'v2.0.3';
|
||||
|
||||
// =====================================================================
|
||||
// i18n
|
||||
@@ -304,6 +304,123 @@ fetch('/config').then(r => r.json()).then(data => {
|
||||
const chatInput = document.getElementById('chat-input');
|
||||
const sendBtn = document.getElementById('send-btn');
|
||||
const messagesDiv = document.getElementById('chat-messages');
|
||||
const fileInput = document.getElementById('file-input');
|
||||
const attachmentPreview = document.getElementById('attachment-preview');
|
||||
|
||||
// Pending attachments: [{file_path, file_name, file_type, preview_url}]
|
||||
// Items with _uploading=true are still in flight.
|
||||
let pendingAttachments = [];
|
||||
let uploadingCount = 0;
|
||||
|
||||
function updateSendBtnState() {
|
||||
sendBtn.disabled = uploadingCount > 0 || (!chatInput.value.trim() && pendingAttachments.length === 0);
|
||||
}
|
||||
|
||||
function renderAttachmentPreview() {
|
||||
if (pendingAttachments.length === 0) {
|
||||
attachmentPreview.classList.add('hidden');
|
||||
attachmentPreview.innerHTML = '';
|
||||
updateSendBtnState();
|
||||
return;
|
||||
}
|
||||
attachmentPreview.classList.remove('hidden');
|
||||
attachmentPreview.innerHTML = pendingAttachments.map((att, idx) => {
|
||||
if (att._uploading) {
|
||||
return `<div class="att-chip att-uploading" data-idx="${idx}">
|
||||
<i class="fas fa-spinner fa-spin"></i>
|
||||
<span class="att-name">${escapeHtml(att.file_name)}</span>
|
||||
</div>`;
|
||||
}
|
||||
if (att.file_type === 'image') {
|
||||
return `<div class="att-thumb" data-idx="${idx}">
|
||||
<img src="${att.preview_url}" alt="${escapeHtml(att.file_name)}">
|
||||
<button class="att-remove" onclick="removeAttachment(${idx})">×</button>
|
||||
</div>`;
|
||||
}
|
||||
const icon = att.file_type === 'video' ? 'fa-film' : 'fa-file-alt';
|
||||
return `<div class="att-chip" data-idx="${idx}">
|
||||
<i class="fas ${icon}"></i>
|
||||
<span class="att-name">${escapeHtml(att.file_name)}</span>
|
||||
<button class="att-remove" onclick="removeAttachment(${idx})">×</button>
|
||||
</div>`;
|
||||
}).join('');
|
||||
updateSendBtnState();
|
||||
}
|
||||
|
||||
function removeAttachment(idx) {
|
||||
if (pendingAttachments[idx]?._uploading) return;
|
||||
pendingAttachments.splice(idx, 1);
|
||||
renderAttachmentPreview();
|
||||
}
|
||||
|
||||
async function handleFileSelect(files) {
|
||||
if (!files || files.length === 0) return;
|
||||
const tasks = [];
|
||||
for (const file of files) {
|
||||
const placeholder = { file_name: file.name, file_type: 'file', _uploading: true };
|
||||
pendingAttachments.push(placeholder);
|
||||
uploadingCount++;
|
||||
renderAttachmentPreview();
|
||||
|
||||
tasks.push((async () => {
|
||||
const formData = new FormData();
|
||||
formData.append('file', file);
|
||||
formData.append('session_id', sessionId);
|
||||
try {
|
||||
const resp = await fetch('/upload', { method: 'POST', body: formData });
|
||||
const data = await resp.json();
|
||||
if (data.status === 'success') {
|
||||
placeholder.file_path = data.file_path;
|
||||
placeholder.file_name = data.file_name;
|
||||
placeholder.file_type = data.file_type;
|
||||
placeholder.preview_url = data.preview_url;
|
||||
delete placeholder._uploading;
|
||||
} else {
|
||||
const i = pendingAttachments.indexOf(placeholder);
|
||||
if (i !== -1) pendingAttachments.splice(i, 1);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error('Upload failed:', e);
|
||||
const i = pendingAttachments.indexOf(placeholder);
|
||||
if (i !== -1) pendingAttachments.splice(i, 1);
|
||||
}
|
||||
uploadingCount--;
|
||||
renderAttachmentPreview();
|
||||
})());
|
||||
}
|
||||
await Promise.all(tasks);
|
||||
}
|
||||
|
||||
fileInput.addEventListener('change', function() {
|
||||
handleFileSelect(this.files);
|
||||
this.value = '';
|
||||
});
|
||||
|
||||
// Drag-and-drop support on chat input area
|
||||
const chatInputArea = chatInput.closest('.flex-shrink-0');
|
||||
chatInputArea.addEventListener('dragover', (e) => { e.preventDefault(); e.stopPropagation(); chatInputArea.classList.add('drag-over'); });
|
||||
chatInputArea.addEventListener('dragleave', (e) => { e.preventDefault(); e.stopPropagation(); chatInputArea.classList.remove('drag-over'); });
|
||||
chatInputArea.addEventListener('drop', (e) => {
|
||||
e.preventDefault(); e.stopPropagation();
|
||||
chatInputArea.classList.remove('drag-over');
|
||||
if (e.dataTransfer.files.length) handleFileSelect(e.dataTransfer.files);
|
||||
});
|
||||
|
||||
// Paste image support
|
||||
chatInput.addEventListener('paste', (e) => {
|
||||
const items = e.clipboardData?.items;
|
||||
if (!items) return;
|
||||
const files = [];
|
||||
for (const item of items) {
|
||||
if (item.kind === 'file') {
|
||||
files.push(item.getAsFile());
|
||||
}
|
||||
}
|
||||
if (files.length) {
|
||||
e.preventDefault();
|
||||
handleFileSelect(files);
|
||||
}
|
||||
});
|
||||
|
||||
chatInput.addEventListener('compositionstart', () => { isComposing = true; });
|
||||
chatInput.addEventListener('compositionend', () => { setTimeout(() => { isComposing = false; }, 100); });
|
||||
@@ -314,7 +431,7 @@ chatInput.addEventListener('input', function() {
|
||||
const newH = Math.min(scrollH, 180);
|
||||
this.style.height = newH + 'px';
|
||||
this.style.overflowY = scrollH > 180 ? 'auto' : 'hidden';
|
||||
sendBtn.disabled = !this.value.trim();
|
||||
updateSendBtnState();
|
||||
});
|
||||
|
||||
chatInput.addEventListener('keydown', function(e) {
|
||||
@@ -346,25 +463,37 @@ document.querySelectorAll('.example-card').forEach(card => {
|
||||
|
||||
function sendMessage() {
|
||||
const text = chatInput.value.trim();
|
||||
if (!text) return;
|
||||
if (!text && pendingAttachments.length === 0) return;
|
||||
|
||||
const ws = document.getElementById('welcome-screen');
|
||||
if (ws) ws.remove();
|
||||
|
||||
const timestamp = new Date();
|
||||
addUserMessage(text, timestamp);
|
||||
const attachments = [...pendingAttachments];
|
||||
addUserMessage(text, timestamp, attachments);
|
||||
|
||||
const loadingEl = addLoadingIndicator();
|
||||
|
||||
chatInput.value = '';
|
||||
chatInput.style.height = '42px';
|
||||
chatInput.style.overflowY = 'hidden';
|
||||
pendingAttachments = [];
|
||||
renderAttachmentPreview();
|
||||
sendBtn.disabled = true;
|
||||
|
||||
const body = { session_id: sessionId, message: text, stream: true, timestamp: timestamp.toISOString() };
|
||||
if (attachments.length > 0) {
|
||||
body.attachments = attachments.map(a => ({
|
||||
file_path: a.file_path,
|
||||
file_name: a.file_name,
|
||||
file_type: a.file_type,
|
||||
}));
|
||||
}
|
||||
|
||||
fetch('/message', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ session_id: sessionId, message: text, stream: true, timestamp: timestamp.toISOString() })
|
||||
body: JSON.stringify(body)
|
||||
})
|
||||
.then(r => r.json())
|
||||
.then(data => {
|
||||
@@ -574,13 +703,27 @@ function startPolling() {
|
||||
poll();
|
||||
}
|
||||
|
||||
function createUserMessageEl(content, timestamp) {
|
||||
function createUserMessageEl(content, timestamp, attachments) {
|
||||
const el = document.createElement('div');
|
||||
el.className = 'flex justify-end px-4 sm:px-6 py-3';
|
||||
|
||||
let attachHtml = '';
|
||||
if (attachments && attachments.length > 0) {
|
||||
const items = attachments.map(a => {
|
||||
if (a.file_type === 'image') {
|
||||
return `<img src="${a.preview_url}" alt="${escapeHtml(a.file_name)}" class="user-msg-image">`;
|
||||
}
|
||||
const icon = a.file_type === 'video' ? 'fa-film' : 'fa-file-alt';
|
||||
return `<div class="user-msg-file"><i class="fas ${icon}"></i> ${escapeHtml(a.file_name)}</div>`;
|
||||
}).join('');
|
||||
attachHtml = `<div class="user-msg-attachments">${items}</div>`;
|
||||
}
|
||||
|
||||
const textHtml = content ? renderMarkdown(content) : '';
|
||||
el.innerHTML = `
|
||||
<div class="max-w-[75%] sm:max-w-[60%]">
|
||||
<div class="bg-primary-400 text-white rounded-2xl px-4 py-2.5 text-sm leading-relaxed msg-content">
|
||||
${renderMarkdown(content)}
|
||||
${attachHtml}${textHtml}
|
||||
</div>
|
||||
<div class="text-xs text-slate-400 dark:text-slate-500 mt-1.5 text-right">${formatTime(timestamp)}</div>
|
||||
</div>
|
||||
@@ -635,8 +778,8 @@ function createBotMessageEl(content, timestamp, requestId, toolCalls) {
|
||||
return el;
|
||||
}
|
||||
|
||||
function addUserMessage(content, timestamp) {
|
||||
const el = createUserMessageEl(content, timestamp);
|
||||
function addUserMessage(content, timestamp, attachments) {
|
||||
const el = createUserMessageEl(content, timestamp, attachments);
|
||||
messagesDiv.appendChild(el);
|
||||
scrollChatToBottom();
|
||||
}
|
||||
@@ -849,7 +992,6 @@ let configProviders = {};
|
||||
let configApiBases = {};
|
||||
let configApiKeys = {};
|
||||
let configCurrentModel = '';
|
||||
let configHasBotType = false;
|
||||
let cfgProviderValue = '';
|
||||
let cfgModelValue = '';
|
||||
|
||||
@@ -909,7 +1051,6 @@ function initConfigView(data) {
|
||||
configApiBases = data.api_bases || {};
|
||||
configApiKeys = data.api_keys || {};
|
||||
configCurrentModel = data.model || '';
|
||||
configHasBotType = !!data.has_bot_type;
|
||||
|
||||
const providerEl = document.getElementById('cfg-provider');
|
||||
const providerOpts = Object.entries(configProviders).map(([pid, p]) => ({ value: pid, label: p.label }));
|
||||
@@ -1071,8 +1212,10 @@ function saveModelConfig() {
|
||||
const updates = { model: model };
|
||||
const p = configProviders[cfgProviderValue];
|
||||
updates.use_linkai = (cfgProviderValue === 'linkai');
|
||||
if (configHasBotType) {
|
||||
updates.bot_type = (cfgProviderValue === 'linkai') ? '' : cfgProviderValue;
|
||||
if (cfgProviderValue === 'linkai') {
|
||||
updates.bot_type = '';
|
||||
} else {
|
||||
updates.bot_type = cfgProviderValue;
|
||||
}
|
||||
if (p && p.api_base_key) {
|
||||
const base = document.getElementById('cfg-api-base').value.trim();
|
||||
|
||||
@@ -20,6 +20,17 @@ from common.log import logger
|
||||
from common.singleton import singleton
|
||||
from config import conf
|
||||
|
||||
IMAGE_EXTENSIONS = {".jpg", ".jpeg", ".png", ".gif", ".webp", ".bmp", ".svg"}
|
||||
VIDEO_EXTENSIONS = {".mp4", ".webm", ".avi", ".mov", ".mkv"}
|
||||
|
||||
|
||||
def _get_upload_dir() -> str:
|
||||
from common.utils import expand_path
|
||||
ws_root = expand_path(conf().get("agent_workspace", "~/cow"))
|
||||
tmp_dir = os.path.join(ws_root, "tmp")
|
||||
os.makedirs(tmp_dir, exist_ok=True)
|
||||
return tmp_dir
|
||||
|
||||
|
||||
class WebMessage(ChatMessage):
|
||||
def __init__(
|
||||
@@ -152,10 +163,53 @@ class WebChannel(ChatChannel):
|
||||
|
||||
return on_event
|
||||
|
||||
def upload_file(self):
|
||||
"""Handle file upload via multipart/form-data. Save to workspace/tmp/ and return metadata."""
|
||||
try:
|
||||
params = web.input(file={}, session_id="")
|
||||
file_obj = params.get("file")
|
||||
session_id = params.get("session_id", "")
|
||||
if file_obj is None or not hasattr(file_obj, "filename") or not file_obj.filename:
|
||||
return json.dumps({"status": "error", "message": "No file uploaded"})
|
||||
|
||||
upload_dir = _get_upload_dir()
|
||||
|
||||
original_name = file_obj.filename
|
||||
ext = os.path.splitext(original_name)[1].lower()
|
||||
safe_name = f"web_{uuid.uuid4().hex[:8]}{ext}"
|
||||
save_path = os.path.join(upload_dir, safe_name)
|
||||
|
||||
with open(save_path, "wb") as f:
|
||||
f.write(file_obj.read() if hasattr(file_obj, "read") else file_obj.value)
|
||||
|
||||
if ext in IMAGE_EXTENSIONS:
|
||||
file_type = "image"
|
||||
elif ext in VIDEO_EXTENSIONS:
|
||||
file_type = "video"
|
||||
else:
|
||||
file_type = "file"
|
||||
|
||||
preview_url = f"/uploads/{safe_name}"
|
||||
|
||||
logger.info(f"[WebChannel] File uploaded: {original_name} -> {save_path} ({file_type})")
|
||||
|
||||
return json.dumps({
|
||||
"status": "success",
|
||||
"file_path": save_path,
|
||||
"file_name": original_name,
|
||||
"file_type": file_type,
|
||||
"preview_url": preview_url,
|
||||
}, ensure_ascii=False)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[WebChannel] File upload error: {e}", exc_info=True)
|
||||
return json.dumps({"status": "error", "message": str(e)})
|
||||
|
||||
def post_message(self):
|
||||
"""
|
||||
Handle incoming messages from users via POST request.
|
||||
Returns a request_id for tracking this specific request.
|
||||
Supports optional attachments (file paths from /upload).
|
||||
"""
|
||||
try:
|
||||
data = web.data()
|
||||
@@ -163,6 +217,25 @@ class WebChannel(ChatChannel):
|
||||
session_id = json_data.get('session_id', f'session_{int(time.time())}')
|
||||
prompt = json_data.get('message', '')
|
||||
use_sse = json_data.get('stream', True)
|
||||
attachments = json_data.get('attachments', [])
|
||||
|
||||
# Append file references to the prompt (same format as QQ channel)
|
||||
if attachments:
|
||||
file_refs = []
|
||||
for att in attachments:
|
||||
ftype = att.get("file_type", "file")
|
||||
fpath = att.get("file_path", "")
|
||||
if not fpath:
|
||||
continue
|
||||
if ftype == "image":
|
||||
file_refs.append(f"[图片: {fpath}]")
|
||||
elif ftype == "video":
|
||||
file_refs.append(f"[视频: {fpath}]")
|
||||
else:
|
||||
file_refs.append(f"[文件: {fpath}]")
|
||||
if file_refs:
|
||||
prompt = prompt + "\n" + "\n".join(file_refs)
|
||||
logger.info(f"[WebChannel] Attached {len(file_refs)} file(s) to message")
|
||||
|
||||
request_id = self._generate_request_id()
|
||||
self.request_to_session[request_id] = session_id
|
||||
@@ -300,6 +373,8 @@ class WebChannel(ChatChannel):
|
||||
urls = (
|
||||
'/', 'RootHandler',
|
||||
'/message', 'MessageHandler',
|
||||
'/upload', 'UploadHandler',
|
||||
'/uploads/(.*)', 'UploadsHandler',
|
||||
'/poll', 'PollHandler',
|
||||
'/stream', 'StreamHandler',
|
||||
'/chat', 'ChatHandler',
|
||||
@@ -356,6 +431,34 @@ class MessageHandler:
|
||||
return WebChannel().post_message()
|
||||
|
||||
|
||||
class UploadHandler:
|
||||
def POST(self):
|
||||
web.header('Content-Type', 'application/json; charset=utf-8')
|
||||
return WebChannel().upload_file()
|
||||
|
||||
|
||||
class UploadsHandler:
|
||||
def GET(self, file_name):
|
||||
"""Serve uploaded files from workspace/tmp/ for preview."""
|
||||
try:
|
||||
upload_dir = _get_upload_dir()
|
||||
full_path = os.path.normpath(os.path.join(upload_dir, file_name))
|
||||
if not os.path.abspath(full_path).startswith(os.path.abspath(upload_dir)):
|
||||
raise web.notfound()
|
||||
if not os.path.isfile(full_path):
|
||||
raise web.notfound()
|
||||
content_type = mimetypes.guess_type(full_path)[0] or "application/octet-stream"
|
||||
web.header('Content-Type', content_type)
|
||||
web.header('Cache-Control', 'public, max-age=86400')
|
||||
with open(full_path, 'rb') as f:
|
||||
return f.read()
|
||||
except web.HTTPError:
|
||||
raise
|
||||
except Exception as e:
|
||||
logger.error(f"[WebChannel] Error serving upload: {e}")
|
||||
raise web.notfound()
|
||||
|
||||
|
||||
class PollHandler:
|
||||
def POST(self):
|
||||
return WebChannel().poll_response()
|
||||
@@ -394,7 +497,7 @@ class ConfigHandler:
|
||||
const.DOUBAO_SEED_2_PRO, const.DOUBAO_SEED_2_CODE,
|
||||
const.CLAUDE_4_6_SONNET, const.CLAUDE_4_6_OPUS, const.CLAUDE_4_5_SONNET,
|
||||
const.GEMINI_31_FLASH_LITE_PRE, const.GEMINI_31_PRO_PRE, const.GEMINI_3_FLASH_PRE,
|
||||
const.GPT_54, const.GPT_5, const.GPT_41, const.GPT_4o,
|
||||
const.GPT_54, const.GPT_54_MINI, const.GPT_54_NANO, const.GPT_5, const.GPT_41, const.GPT_4o,
|
||||
const.DEEPSEEK_CHAT, const.DEEPSEEK_REASONER,
|
||||
]
|
||||
|
||||
@@ -448,12 +551,12 @@ class ConfigHandler:
|
||||
"api_base_default": "https://generativelanguage.googleapis.com",
|
||||
"models": [const.GEMINI_31_FLASH_LITE_PRE, const.GEMINI_31_PRO_PRE, const.GEMINI_3_FLASH_PRE],
|
||||
}),
|
||||
("chatGPT", {
|
||||
("openai", {
|
||||
"label": "OpenAI",
|
||||
"api_key_field": "open_ai_api_key",
|
||||
"api_base_key": "open_ai_api_base",
|
||||
"api_base_default": "https://api.openai.com/v1",
|
||||
"models": [const.GPT_54, const.GPT_5, const.GPT_41, const.GPT_4o],
|
||||
"models": [const.GPT_54, const.GPT_54_MINI, const.GPT_54_NANO, const.GPT_5, const.GPT_41, const.GPT_4o],
|
||||
}),
|
||||
("deepseek", {
|
||||
"label": "DeepSeek",
|
||||
@@ -522,8 +625,7 @@ class ConfigHandler:
|
||||
"use_agent": use_agent,
|
||||
"title": title,
|
||||
"model": local_config.get("model", ""),
|
||||
"bot_type": local_config.get("bot_type", ""),
|
||||
"has_bot_type": "bot_type" in local_config,
|
||||
"bot_type": "openai" if local_config.get("bot_type") == "chatGPT" else local_config.get("bot_type", ""),
|
||||
"use_linkai": bool(local_config.get("use_linkai", False)),
|
||||
"channel_type": local_config.get("channel_type", ""),
|
||||
"agent_max_context_tokens": local_config.get("agent_max_context_tokens", 50000),
|
||||
@@ -568,9 +670,6 @@ class ConfigHandler:
|
||||
file_cfg = json.load(f)
|
||||
else:
|
||||
file_cfg = {}
|
||||
if "bot_type" in applied and "bot_type" not in file_cfg:
|
||||
del applied["bot_type"]
|
||||
local_config.pop("bot_type", None)
|
||||
file_cfg.update(applied)
|
||||
with open(config_path, "w", encoding="utf-8") as f:
|
||||
json.dump(file_cfg, f, indent=4, ensure_ascii=False)
|
||||
|
||||
@@ -602,6 +602,9 @@ def build_website_prompt(workspace_dir: str) -> list:
|
||||
]
|
||||
|
||||
def start(channel, channel_mgr=None):
|
||||
if not get_deployment_id():
|
||||
return
|
||||
|
||||
global chat_client
|
||||
chat_client = CloudClient(api_key=conf().get("linkai_api_key"), host=conf().get("cloud_host", ""), channel=channel)
|
||||
chat_client.channel_mgr = channel_mgr
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
# 厂商类型
|
||||
OPEN_AI = "openAI"
|
||||
CHATGPT = "chatGPT"
|
||||
OPENAI = "openai"
|
||||
CHATGPT = "chatGPT" # legacy alias for OPENAI, kept for backward compatibility
|
||||
BAIDU = "baidu"
|
||||
XUNFEI = "xunfei"
|
||||
CHATGPTONAZURE = "chatGPTOnAzure"
|
||||
@@ -68,6 +69,8 @@ GPT_5 = "gpt-5"
|
||||
GPT_5_MINI = "gpt-5-mini"
|
||||
GPT_5_NANO = "gpt-5-nano"
|
||||
GPT_54 = "gpt-5.4" # GPT-5.4 - Agent recommended model
|
||||
GPT_54_MINI = "gpt-5.4-mini"
|
||||
GPT_54_NANO = "gpt-5.4-nano"
|
||||
O1 = "o1-preview"
|
||||
O1_MINI = "o1-mini"
|
||||
WHISPER_1 = "whisper-1"
|
||||
@@ -153,7 +156,7 @@ MODEL_LIST = [
|
||||
GPT_4o, GPT_4O_0806, GPT_4o_MINI,
|
||||
GPT_41, GPT_41_MINI, GPT_41_NANO,
|
||||
GPT_5, GPT_5_MINI, GPT_5_NANO,
|
||||
GPT_54,
|
||||
GPT_54, GPT_54_MINI, GPT_54_NANO,
|
||||
O1, O1_MINI,
|
||||
|
||||
# DeepSeek
|
||||
|
||||
@@ -20,7 +20,7 @@ available_setting = {
|
||||
"proxy": "", # openai使用的代理
|
||||
# chatgpt模型， 当use_azure_chatgpt为true时，其名称为Azure上model deployment名称
|
||||
"model": "gpt-3.5-turbo", # 可选择: gpt-4o, pt-4o-mini, 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
|
||||
"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，
|
||||
"bot_type": "", # 可选配置，使用兼容openai格式的三方服务时候，需填"openai"（历史值"chatGPT"仍兼容）。bot具体名称详见common/const.py文件，如不填根据model名称判断
|
||||
"use_azure_chatgpt": False, # 是否使用azure的chatgpt
|
||||
"azure_deployment_id": "", # azure 模型部署名称
|
||||
"azure_api_version": "", # azure api版本
|
||||
|
||||
@@ -25,11 +25,11 @@ WORKDIR ${BUILD_PREFIX}
|
||||
ADD docker/entrypoint.sh /entrypoint.sh
|
||||
|
||||
RUN chmod +x /entrypoint.sh \
|
||||
&& mkdir -p /home/noroot \
|
||||
&& groupadd -r noroot \
|
||||
&& useradd -r -g noroot -s /bin/bash -d /home/noroot noroot \
|
||||
&& chown -R noroot:noroot /home/noroot ${BUILD_PREFIX} /usr/local/lib
|
||||
&& mkdir -p /home/agent/cow \
|
||||
&& groupadd -r agent \
|
||||
&& useradd -r -g agent -s /bin/bash -d /home/agent agent \
|
||||
&& chown -R agent:agent /home/agent ${BUILD_PREFIX} /usr/local/lib
|
||||
|
||||
USER noroot
|
||||
USER agent
|
||||
|
||||
ENTRYPOINT ["/entrypoint.sh"]
|
||||
|
||||
@@ -5,22 +5,39 @@ services:
|
||||
container_name: chatgpt-on-wechat
|
||||
security_opt:
|
||||
- seccomp:unconfined
|
||||
ports:
|
||||
- "9899:9899"
|
||||
environment:
|
||||
CHANNEL_TYPE: 'web'
|
||||
OPEN_AI_API_KEY: 'YOUR API KEY'
|
||||
MODEL: ''
|
||||
PROXY: ''
|
||||
SINGLE_CHAT_PREFIX: '["bot", "@bot"]'
|
||||
SINGLE_CHAT_REPLY_PREFIX: '"[bot] "'
|
||||
GROUP_CHAT_PREFIX: '["@bot"]'
|
||||
GROUP_NAME_WHITE_LIST: '["ChatGPT测试群", "ChatGPT测试群2"]'
|
||||
IMAGE_CREATE_PREFIX: '["画", "看", "找"]'
|
||||
CONVERSATION_MAX_TOKENS: 1000
|
||||
SPEECH_RECOGNITION: 'False'
|
||||
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。'
|
||||
EXPIRES_IN_SECONDS: 3600
|
||||
USE_GLOBAL_PLUGIN_CONFIG: 'True'
|
||||
MODEL: 'MiniMax-M2.5'
|
||||
MINIMAX_API_KEY: ''
|
||||
ZHIPU_AI_API_KEY: ''
|
||||
ARK_API_KEY: ''
|
||||
MOONSHOT_API_KEY: ''
|
||||
DASHSCOPE_API_KEY: ''
|
||||
CLAUDE_API_KEY: ''
|
||||
CLAUDE_API_BASE: 'https://api.anthropic.com/v1'
|
||||
OPEN_AI_API_KEY: ''
|
||||
OPEN_AI_API_BASE: 'https://api.openai.com/v1'
|
||||
GEMINI_API_KEY: ''
|
||||
GEMINI_API_BASE: 'https://generativelanguage.googleapis.com'
|
||||
VOICE_TO_TEXT: 'openai'
|
||||
TEXT_TO_VOICE: 'openai'
|
||||
VOICE_REPLY_VOICE: 'False'
|
||||
SPEECH_RECOGNITION: 'True'
|
||||
GROUP_SPEECH_RECOGNITION: 'False'
|
||||
USE_LINKAI: 'False'
|
||||
AGENT: 'True'
|
||||
LINKAI_API_KEY: ''
|
||||
LINKAI_APP_CODE: ''
|
||||
FEISHU_APP_ID: ''
|
||||
FEISHU_APP_SECRET: ''
|
||||
DINGTALK_CLIENT_ID: ''
|
||||
DINGTALK_CLIENT_SECRET: ''
|
||||
WECOM_BOT_ID: ''
|
||||
WECOM_BOT_SECRET: ''
|
||||
AGENT: 'True'
|
||||
AGENT_MAX_CONTEXT_TOKENS: 40000
|
||||
AGENT_MAX_CONTEXT_TURNS: 20
|
||||
AGENT_MAX_STEPS: 15
|
||||
volumes:
|
||||
- ./cow:/home/agent/cow
|
||||
|
||||
@@ -127,7 +127,7 @@ Agent可根据智能体的名称和描述进行决策，并通过 app_code 调
|
||||
在命令行中执行：
|
||||
|
||||
```bash
|
||||
bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
```
|
||||
|
||||
详细说明及后续程序管理参考：[项目启动脚本](https://github.com/zhayujie/chatgpt-on-wechat/wiki/CowAgentQuickStart)
|
||||
|
||||
@@ -59,7 +59,8 @@
|
||||
"group": "安装部署",
|
||||
"pages": [
|
||||
"guide/quick-start",
|
||||
"guide/manual-install"
|
||||
"guide/manual-install",
|
||||
"guide/upgrade"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -80,7 +81,8 @@
|
||||
"models/gemini",
|
||||
"models/openai",
|
||||
"models/deepseek",
|
||||
"models/linkai"
|
||||
"models/linkai",
|
||||
"models/coding-plan"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -171,6 +173,7 @@
|
||||
"group": "发布记录",
|
||||
"pages": [
|
||||
"releases/overview",
|
||||
"releases/v2.0.3",
|
||||
"releases/v2.0.2",
|
||||
"releases/v2.0.1",
|
||||
"releases/v2.0.0"
|
||||
@@ -224,7 +227,8 @@
|
||||
"en/models/gemini",
|
||||
"en/models/openai",
|
||||
"en/models/deepseek",
|
||||
"en/models/linkai"
|
||||
"en/models/linkai",
|
||||
"en/models/coding-plan"
|
||||
]
|
||||
}
|
||||
]
|
||||
|
||||
@@ -12,7 +12,8 @@
|
||||
<p align="center">
|
||||
<a href="https://cowagent.ai/">🌐 Website</a> ·
|
||||
<a href="https://docs.cowagent.ai/en/intro/index">📖 Docs</a> ·
|
||||
<a href="https://docs.cowagent.ai/en/guide/quick-start">🚀 Quick Start</a>
|
||||
<a href="https://docs.cowagent.ai/en/guide/quick-start">🚀 Quick Start</a> ·
|
||||
<a href="https://link-ai.tech/cowagent/create">☁️ Try Online</a>
|
||||
</p>
|
||||
|
||||
## Introduction
|
||||
@@ -33,6 +34,10 @@
|
||||
2. Agent mode consumes more tokens than normal chat mode. Choose models based on effectiveness and cost. Agent has access to the host OS — please deploy in trusted environments.
|
||||
3. CowAgent focuses on open-source development and does not participate in, authorize, or issue any cryptocurrency.
|
||||
|
||||
## Demo
|
||||
|
||||
Try online (no deployment needed): [CowAgent](https://link-ai.tech/cowagent/create)
|
||||
|
||||
## Changelog
|
||||
|
||||
> **2026.02.27:** [v2.0.2](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/2.0.2) — Web console overhaul (streaming chat, model/skill/memory/channel/scheduler/log management), multi-channel concurrent running, session persistence, new models including Gemini 3.1 Pro / Claude 4.6 Sonnet / Qwen3.5 Plus.
|
||||
@@ -56,7 +61,7 @@ Full changelog: [Release Notes](https://docs.cowagent.ai/en/releases/overview)
|
||||
The project provides a one-click script for installation, configuration, startup, and management:
|
||||
|
||||
```bash
|
||||
bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
```
|
||||
|
||||
After running, the Web service starts by default. Access `http://localhost:9899/chat` to chat.
|
||||
@@ -102,7 +107,7 @@ nohup python3 app.py & tail -f nohup.out
|
||||
### Docker Deployment
|
||||
|
||||
```bash
|
||||
wget https://cdn.link-ai.tech/code/cow/docker-compose.yml
|
||||
curl -O https://cdn.link-ai.tech/code/cow/docker-compose.yml
|
||||
# Edit docker-compose.yml with your config
|
||||
sudo docker compose up -d
|
||||
sudo docker logs -f chatgpt-on-wechat
|
||||
@@ -128,6 +133,28 @@ Supports mainstream model providers. Recommended models for Agent mode:
|
||||
|
||||
For detailed configuration of each model, see the [Models documentation](https://docs.cowagent.ai/en/models/index).
|
||||
|
||||
### Coding Plan
|
||||
|
||||
Coding Plan is a monthly subscription package offered by various providers, ideal for high-frequency Agent usage. All providers can be accessed via OpenAI-compatible mode:
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "MODEL_NAME",
|
||||
"open_ai_api_base": "PROVIDER_CODING_PLAN_API_BASE",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
- `bot_type`: Must be `openai`
|
||||
- `model`: Model name supported by the provider
|
||||
- `open_ai_api_base`: Provider's Coding Plan API Base (different from standard pay-as-you-go)
|
||||
- `open_ai_api_key`: Provider's Coding Plan API Key
|
||||
|
||||
> Note: Coding Plan API Base and API Key are usually separate from standard pay-as-you-go ones. Please obtain them from each provider's platform.
|
||||
|
||||
Supported providers include Alibaba Cloud, MiniMax, Zhipu GLM, Kimi, Volcengine, and more. For detailed configuration of each provider, see the [Coding Plan documentation](https://docs.cowagent.ai/en/models/coding-plan).
|
||||
|
||||
<br/>
|
||||
|
||||
## Channels
|
||||
|
||||
@@ -67,7 +67,7 @@ Docker deployment does not require cloning source code or installing dependencie
|
||||
**1. Download config**
|
||||
|
||||
```bash
|
||||
wget https://cdn.link-ai.tech/code/cow/docker-compose.yml
|
||||
curl -O https://cdn.link-ai.tech/code/cow/docker-compose.yml
|
||||
```
|
||||
|
||||
Edit `docker-compose.yml` with your configuration.
|
||||
|
||||
@@ -10,7 +10,7 @@ Supports Linux, macOS, and Windows. Requires Python 3.7-3.12 (3.9 recommended).
|
||||
## Install Command
|
||||
|
||||
```bash
|
||||
bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
```
|
||||
|
||||
The script automatically performs these steps:
|
||||
|
||||
@@ -41,7 +41,7 @@ CowAgent can proactively think and plan tasks, operate computers and external re
|
||||
Run the following command in your terminal for one-click install, configuration, and startup:
|
||||
|
||||
```bash
|
||||
bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
```
|
||||
|
||||
By default, the Web service starts after running. Access `http://localhost:9899/chat` to chat in the web interface.
|
||||
|
||||
139
docs/en/models/coding-plan.mdx
Normal file
139
docs/en/models/coding-plan.mdx
Normal file
@@ -0,0 +1,139 @@
|
||||
---
|
||||
title: Coding Plan
|
||||
description: Coding Plan model configuration
|
||||
---
|
||||
|
||||
> Coding Plan is a monthly subscription package offered by various providers, ideal for high-frequency Agent usage. CowAgent supports all Coding Plan providers via OpenAI-compatible mode.
|
||||
|
||||
<Note>
|
||||
Coding Plan API Base and API Key are usually separate from the standard pay-as-you-go ones. Please obtain them from each provider's platform.
|
||||
</Note>
|
||||
|
||||
## General Configuration
|
||||
|
||||
All providers can be accessed via the OpenAI-compatible protocol, and can be quickly configured through the web console. Set the model provider to **OpenAI**, select a custom model and enter the model code, then fill in the corresponding provider's API Base and API Key:
|
||||
|
||||
<img src="https://cdn.link-ai.tech/doc/20260318113134.png" width="800"/>
|
||||
|
||||
You can also configure directly in `config.json`:
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "MODEL_NAME",
|
||||
"open_ai_api_base": "PROVIDER_CODING_PLAN_API_BASE",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `bot_type` | Must be `openai` (OpenAI-compatible mode) |
|
||||
| `model` | Model name supported by the provider |
|
||||
| `open_ai_api_base` | Provider's Coding Plan API Base URL |
|
||||
| `open_ai_api_key` | Provider's Coding Plan API Key |
|
||||
|
||||
---
|
||||
|
||||
## Alibaba Cloud
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "qwen3.5-plus",
|
||||
"open_ai_api_base": "https://coding.dashscope.aliyuncs.com/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | `qwen3.5-plus`, `qwen3-max-2026-01-23`, `qwen3-coder-next`, `qwen3-coder-plus`, `glm-5`, `glm-4.7`, `kimi-k2.5`, `MiniMax-M2.5` |
|
||||
| `open_ai_api_base` | `https://coding.dashscope.aliyuncs.com/v1` |
|
||||
| `open_ai_api_key` | Coding Plan specific key (not shared with pay-as-you-go) |
|
||||
|
||||
Reference: [Quick Start](https://help.aliyun.com/zh/model-studio/coding-plan-quickstart?spm=a2c4g.11186623.help-menu-2400256.d_0_2_1.70115203zi5Igc), [Model List](https://help.aliyun.com/zh/model-studio/coding-plan)
|
||||
|
||||
---
|
||||
|
||||
## MiniMax
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "MiniMax-M2.5",
|
||||
"open_ai_api_base": "https://api.minimaxi.com/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | `MiniMax-M2.5`, `MiniMax-M2.5-highspeed`, `MiniMax-M2.1`, `MiniMax-M2` |
|
||||
| `open_ai_api_base` | China: `https://api.minimaxi.com/v1`; Global: `https://api.minimax.io/v1` |
|
||||
| `open_ai_api_key` | Coding Plan specific key (not shared with pay-as-you-go) |
|
||||
|
||||
Reference: [China Key](https://platform.minimaxi.com/docs/coding-plan/quickstart), [Model List](https://platform.minimaxi.com/docs/guides/pricing-coding-plan), [Global Key](https://platform.minimax.io/docs/coding-plan/quickstart)
|
||||
|
||||
---
|
||||
|
||||
## Zhipu GLM
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "glm-4.7",
|
||||
"open_ai_api_base": "https://open.bigmodel.cn/api/coding/paas/v4",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | `glm-5`, `glm-4.7`, `glm-4.6`, `glm-4.5`, `glm-4.5-air` |
|
||||
| `open_ai_api_base` | China: `https://open.bigmodel.cn/api/coding/paas/v4`; Global: `https://api.z.ai/api/coding/paas/v4` |
|
||||
| `open_ai_api_key` | Shared with standard API |
|
||||
|
||||
Reference: [China Quick Start](https://docs.bigmodel.cn/cn/coding-plan/quick-start), [Global Quick Start](https://docs.z.ai/devpack/quick-start)
|
||||
|
||||
---
|
||||
|
||||
## Kimi
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "kimi-for-coding",
|
||||
"open_ai_api_base": "https://api.kimi.com/coding/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | `kimi-for-coding` |
|
||||
| `open_ai_api_base` | `https://api.kimi.com/coding/v1` |
|
||||
| `open_ai_api_key` | Coding Plan specific key (not shared with pay-as-you-go) |
|
||||
|
||||
Reference: [Key & Docs](https://www.kimi.com/code/docs/)
|
||||
|
||||
---
|
||||
|
||||
## Volcengine
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "Doubao-Seed-2.0-Code",
|
||||
"open_ai_api_base": "https://ark.cn-beijing.volces.com/api/coding/v3",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | `Doubao-Seed-2.0-Code`, `Doubao-Seed-2.0-pro`, `Doubao-Seed-2.0-lite`, `Doubao-Seed-Code`, `MiniMax-M2.5`, `Kimi-K2.5`, `GLM-4.7`, `DeepSeek-V3.2` |
|
||||
| `open_ai_api_base` | `https://ark.cn-beijing.volces.com/api/coding/v3` |
|
||||
| `open_ai_api_key` | Shared with standard API |
|
||||
|
||||
Reference: [Quick Start](https://www.volcengine.com/docs/82379/1928261?lang=zh)
|
||||
@@ -8,7 +8,7 @@ Use OpenAI-compatible configuration:
|
||||
```json
|
||||
{
|
||||
"model": "deepseek-chat",
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"open_ai_api_key": "YOUR_API_KEY",
|
||||
"open_ai_api_base": "https://api.deepseek.com/v1"
|
||||
}
|
||||
@@ -17,6 +17,6 @@ Use OpenAI-compatible configuration:
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | `deepseek-chat` (DeepSeek-V3), `deepseek-reasoner` (DeepSeek-R1) |
|
||||
| `bot_type` | Must be `chatGPT` (OpenAI-compatible mode) |
|
||||
| `bot_type` | Must be `openai` (OpenAI-compatible mode) |
|
||||
| `open_ai_api_key` | Create at [DeepSeek Platform](https://platform.deepseek.com/api_keys) |
|
||||
| `open_ai_api_base` | DeepSeek platform BASE URL |
|
||||
|
||||
@@ -19,7 +19,7 @@ OpenAI-compatible configuration is also supported:
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "glm-5",
|
||||
"open_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
|
||||
@@ -11,7 +11,7 @@ CowAgent supports mainstream LLMs from domestic and international providers. Mod
|
||||
|
||||
## Configuration
|
||||
|
||||
Configure the model name and API key in `config.json` according to your chosen model. Each model also supports OpenAI-compatible access by setting `bot_type` to `chatGPT` and configuring `open_ai_api_base` and `open_ai_api_key`.
|
||||
Configure the model name and API key in `config.json` according to your chosen model. Each model also supports OpenAI-compatible access by setting `bot_type` to `openai` and configuring `open_ai_api_base` and `open_ai_api_key`.
|
||||
|
||||
You can also use the [LinkAI](https://link-ai.tech) platform interface to flexibly switch between multiple models with support for knowledge base, workflows, and other Agent capabilities.
|
||||
|
||||
|
||||
@@ -19,7 +19,7 @@ OpenAI-compatible configuration is also supported:
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "kimi-k2.5",
|
||||
"open_ai_api_base": "https://api.moonshot.cn/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
|
||||
@@ -19,7 +19,7 @@ OpenAI-compatible configuration is also supported:
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "MiniMax-M2.5",
|
||||
"open_ai_api_base": "https://api.minimaxi.com/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
|
||||
@@ -16,4 +16,4 @@ description: OpenAI model configuration
|
||||
| `model` | Matches the [model parameter](https://platform.openai.com/docs/models) of the OpenAI API. Supports o-series, gpt-5.4, gpt-5 series, gpt-4.1, etc. Recommended for Agent mode: `gpt-5.4` |
|
||||
| `open_ai_api_key` | Create at [OpenAI Platform](https://platform.openai.com/api-keys) |
|
||||
| `open_ai_api_base` | Optional. Change to use third-party proxy |
|
||||
| `bot_type` | Not required for official OpenAI models. Set to `chatGPT` when using Claude or other non-OpenAI models via proxy |
|
||||
| `bot_type` | Not required for official OpenAI models. Set to `openai` when using Claude or other non-OpenAI models via proxy |
|
||||
|
||||
@@ -19,7 +19,7 @@ OpenAI-compatible configuration is also supported:
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "qwen3.5-plus",
|
||||
"open_ai_api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
|
||||
@@ -56,9 +56,13 @@ python3 app.py
|
||||
nohup python3 app.py & tail -f nohup.out
|
||||
```
|
||||
|
||||
<Tip>
|
||||
如果在服务器上部署，需要在防火墙或安全组中放行 `9899` 端口才能通过浏览器访问 Web 控制台，建议仅对指定IP开放以保证安全。
|
||||
</Tip>
|
||||
|
||||
## Docker 部署
|
||||
|
||||
使用 Docker 部署无需下载源码和安装依赖。Agent 模式下更推荐使用源码部署以获得更多系统访问能力。
|
||||
使用 Docker 部署无需下载源码和安装依赖。Agent模式下更推荐使用源码部署以获得更多系统访问能力。
|
||||
|
||||
<Note>
|
||||
需要安装 [Docker](https://docs.docker.com/engine/install/) 和 docker-compose。
|
||||
@@ -67,7 +71,7 @@ nohup python3 app.py & tail -f nohup.out
|
||||
**1. 下载配置文件**
|
||||
|
||||
```bash
|
||||
wget https://cdn.link-ai.tech/code/cow/docker-compose.yml
|
||||
curl -O https://cdn.link-ai.tech/code/cow/docker-compose.yml
|
||||
```
|
||||
|
||||
打开 `docker-compose.yml` 填写所需配置。
|
||||
@@ -84,6 +88,10 @@ sudo docker compose up -d
|
||||
sudo docker logs -f chatgpt-on-wechat
|
||||
```
|
||||
|
||||
<Tip>
|
||||
如果在服务器上部署，需要在防火墙或安全组中放行 `9899` 端口才能通过浏览器访问 Web 控制台，建议仅对指定IP开放以保证安全。
|
||||
</Tip>
|
||||
|
||||
## 核心配置项
|
||||
|
||||
```json
|
||||
|
||||
@@ -10,7 +10,7 @@ description: 使用脚本一键安装和管理 CowAgent
|
||||
## 安装命令
|
||||
|
||||
```bash
|
||||
bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
```
|
||||
|
||||
脚本自动执行以下流程：
|
||||
|
||||
52
docs/guide/upgrade.mdx
Normal file
52
docs/guide/upgrade.mdx
Normal file
@@ -0,0 +1,52 @@
|
||||
---
|
||||
title: 更新升级
|
||||
description: CowAgent 的升级方式说明
|
||||
---
|
||||
|
||||
## 脚本升级（推荐）
|
||||
|
||||
如果使用 `run.sh` 管理服务，执行以下命令即可一键升级：
|
||||
|
||||
```bash
|
||||
./run.sh update
|
||||
```
|
||||
|
||||
该命令会自动完成以下流程：
|
||||
|
||||
1. 停止当前运行的服务
|
||||
2. 拉取最新代码
|
||||
3. 重新检查依赖
|
||||
4. 启动服务
|
||||
|
||||
## 手动升级
|
||||
|
||||
在项目根目录下执行：
|
||||
|
||||
```bash
|
||||
git pull
|
||||
pip3 install -r requirements.txt
|
||||
```
|
||||
|
||||
更新完成后重启服务：
|
||||
|
||||
```bash
|
||||
# 如果使用 run.sh 管理
|
||||
./run.sh restart
|
||||
|
||||
# 如果使用 nohup 直接运行
|
||||
kill $(ps -ef | grep app.py | grep -v grep | awk '{print $2}')
|
||||
nohup python3 app.py & tail -f nohup.out
|
||||
```
|
||||
|
||||
## Docker 升级
|
||||
|
||||
在 `docker-compose.yml` 所在目录下执行：
|
||||
|
||||
```bash
|
||||
sudo docker compose pull
|
||||
sudo docker compose up -d
|
||||
```
|
||||
|
||||
<Tip>
|
||||
升级前建议备份 `config.json` 配置文件。Docker 环境下如需保留数据，可通过 volume 挂载持久化工作空间目录。
|
||||
</Tip>
|
||||
@@ -3,15 +3,20 @@ title: 项目介绍
|
||||
description: CowAgent - 基于大模型的超级AI助理
|
||||
---
|
||||
|
||||
<img src="https://cdn.link-ai.tech/doc/78c5dd674e2c828642ecc0406669fed7.png" alt="CowAgent" width="500px"/>
|
||||
<img src="https://cdn.link-ai.tech/doc/78c5dd674e2c828642ecc0406669fed7.png" alt="CowAgent" width="450px"/>
|
||||
|
||||
**CowAgent** 是基于大模型的超级AI助理，能够主动思考和任务规划、操作计算机和外部资源、创造和执行Skills、拥有长期记忆并不断成长。
|
||||
|
||||
CowAgent 支持灵活切换多种模型，能处理文本、语音、图片、文件等多模态消息，可接入网页、飞书、钉钉、企业微信应用、微信公众号中使用，7×24小时运行于你的个人电脑或服务器中。
|
||||
|
||||
<Card title="GitHub" icon="github" href="https://github.com/zhayujie/chatgpt-on-wechat">
|
||||
github.com/zhayujie/chatgpt-on-wechat
|
||||
</Card>
|
||||
<CardGroup cols={2}>
|
||||
<Card title="GitHub" icon="github" href="https://github.com/zhayujie/chatgpt-on-wechat">
|
||||
开源代码仓库，欢迎 Star 和贡献
|
||||
</Card>
|
||||
<Card title="免部署在线体验" icon="cloud" href="https://link-ai.tech/cowagent/create">
|
||||
无需安装，立即在线体验 CowAgent
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
## 核心能力
|
||||
|
||||
@@ -41,7 +46,7 @@ CowAgent 支持灵活切换多种模型，能处理文本、语音、图片、
|
||||
在终端执行以下命令，即可一键安装、配置、启动 CowAgent：
|
||||
|
||||
```bash
|
||||
bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)
|
||||
```
|
||||
|
||||
运行后默认会启动 Web 服务，通过访问 `http://localhost:9899/chat` 在网页端对话。
|
||||
|
||||
140
docs/models/coding-plan.mdx
Normal file
140
docs/models/coding-plan.mdx
Normal file
@@ -0,0 +1,140 @@
|
||||
---
|
||||
title: Coding Plan
|
||||
description: Coding Plan 模式模型配置
|
||||
---
|
||||
|
||||
> Coding Plan 是各厂商推出的编程包月套餐，适合高频使用 Agent 的场景。CowAgent 支持通过 OpenAI 兼容方式接入各厂商的 Coding Plan 接口。
|
||||
|
||||
<Note>
|
||||
Coding Plan 的 API Base 和 API Key 通常与普通按量计费接口不通用，请在各厂商平台单独获取。
|
||||
</Note>
|
||||
|
||||
## 通用配置格式
|
||||
|
||||
所有厂商均可使用 OpenAI 兼容协议接入，可在web控制台快速配置。设置模型厂商为**OpenAI**，选择自定义模型并填入模型编码，最后填写对应厂商的API Base 和 API Key：
|
||||
|
||||
<img src="https://cdn.link-ai.tech/doc/20260318113134.png" width="800"/>
|
||||
|
||||
也可通过 `config.json` 配置文件直接修改：
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "模型名称",
|
||||
"open_ai_api_base": "厂商 Coding Plan API Base",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| 参数 | 说明 |
|
||||
| --- | --- |
|
||||
| `bot_type` | 固定为 `openai`（OpenAI 兼容方式） |
|
||||
| `model` | 各厂商支持的模型名称 |
|
||||
| `open_ai_api_base` | 各厂商 Coding Plan 专用 API Base |
|
||||
| `open_ai_api_key` | 各厂商 Coding Plan 专用 API Key |
|
||||
|
||||
---
|
||||
|
||||
## 阿里云
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "qwen3.5-plus",
|
||||
"open_ai_api_base": "https://coding.dashscope.aliyuncs.com/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| 参数 | 说明 |
|
||||
| --- | --- |
|
||||
| `model` | `qwen3.5-plus`、`qwen3-max-2026-01-23`、`qwen3-coder-next`、`qwen3-coder-plus`、`glm-5`、`glm-4.7`、`kimi-k2.5`、`MiniMax-M2.5` |
|
||||
| `open_ai_api_base` | `https://coding.dashscope.aliyuncs.com/v1` |
|
||||
| `open_ai_api_key` | Coding Plan 专用 Key（与按量计费接口不通用） |
|
||||
|
||||
官方文档：[快速开始](https://help.aliyun.com/zh/model-studio/coding-plan-quickstart?spm=a2c4g.11186623.help-menu-2400256.d_0_2_1.70115203zi5Igc)、[模型列表](https://help.aliyun.com/zh/model-studio/coding-plan)
|
||||
|
||||
---
|
||||
|
||||
## MiniMax
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "MiniMax-M2.5",
|
||||
"open_ai_api_base": "https://api.minimaxi.com/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| 参数 | 说明 |
|
||||
| --- | --- |
|
||||
| `model` | `MiniMax-M2.5`、`MiniMax-M2.5-highspeed`、`MiniMax-M2.1`、`MiniMax-M2` |
|
||||
| `open_ai_api_base` | 国内：`https://api.minimaxi.com/v1`；海外：`https://api.minimax.io/v1` |
|
||||
| `open_ai_api_key` | Coding Plan 专用 Key（与按量计费接口不通用） |
|
||||
|
||||
官方文档：[国内 Key 获取](https://platform.minimaxi.com/docs/coding-plan/quickstart)、[模型列表](https://platform.minimaxi.com/docs/guides/pricing-coding-plan)、[国际 Key 获取](https://platform.minimax.io/docs/coding-plan/quickstart)
|
||||
|
||||
---
|
||||
|
||||
|
||||
## 智谱 GLM
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "glm-4.7",
|
||||
"open_ai_api_base": "https://open.bigmodel.cn/api/coding/paas/v4",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| 参数 | 说明 |
|
||||
| --- | --- |
|
||||
| `model` | `glm-5`、`glm-4.7`、`glm-4.6`、`glm-4.5`、`glm-4.5-air` |
|
||||
| `open_ai_api_base` | 中国区：`https://open.bigmodel.cn/api/coding/paas/v4`；全球区：`https://api.z.ai/api/coding/paas/v4` |
|
||||
| `open_ai_api_key` | API Key 与普通接口通用 |
|
||||
|
||||
官方文档：[国内版快速开始](https://docs.bigmodel.cn/cn/coding-plan/quick-start)、[国际版快速开始](https://docs.z.ai/devpack/quick-start)
|
||||
|
||||
---
|
||||
|
||||
## Kimi
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "kimi-for-coding",
|
||||
"open_ai_api_base": "https://api.kimi.com/coding/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| 参数 | 说明 |
|
||||
| --- | --- |
|
||||
| `model` | `kimi-for-coding` |
|
||||
| `open_ai_api_base` | `https://api.kimi.com/coding/v1` |
|
||||
| `open_ai_api_key` | Coding Plan 专用 Key（与按量计费接口不通用） |
|
||||
|
||||
官方文档：[Key 获取](https://www.kimi.com/code/docs/)
|
||||
|
||||
---
|
||||
|
||||
## 火山引擎
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "Doubao-Seed-2.0-Code",
|
||||
"open_ai_api_base": "https://ark.cn-beijing.volces.com/api/coding/v3",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
| 参数 | 说明 |
|
||||
| --- | --- |
|
||||
| `model` | `Doubao-Seed-2.0-Code`、`Doubao-Seed-2.0-pro`、`Doubao-Seed-2.0-lite`、`Doubao-Seed-Code`、`MiniMax-M2.5`、`Kimi-K2.5`、`GLM-4.7`、`DeepSeek-V3.2` |
|
||||
| `open_ai_api_base` | `https://ark.cn-beijing.volces.com/api/coding/v3` |
|
||||
| `open_ai_api_key` | API Key 与普通接口通用 |
|
||||
|
||||
官方文档：[快速开始](https://www.volcengine.com/docs/82379/1928261?lang=zh)
|
||||
@@ -10,13 +10,13 @@ description: DeepSeek 模型配置
|
||||
"model": "deepseek-chat",
|
||||
"open_ai_api_key": "YOUR_API_KEY",
|
||||
"open_ai_api_base": "https://api.deepseek.com/v1",
|
||||
"bot_type": "chatGPT"
|
||||
"bot_type": "openai"
|
||||
}
|
||||
```
|
||||
|
||||
| 参数 | 说明 |
|
||||
| --- | --- |
|
||||
| `model` | `deepseek-chat`（DeepSeek-V3）、`deepseek-reasoner`（DeepSeek-R1） |
|
||||
| `bot_type` | 固定为 `chatGPT`（OpenAI 兼容方式） |
|
||||
| `bot_type` | 固定为 `openai`（OpenAI 兼容方式） |
|
||||
| `open_ai_api_key` | 在 [DeepSeek 平台](https://platform.deepseek.com/api_keys) 创建 |
|
||||
| `open_ai_api_base` | DeepSeek 平台 BASE URL |
|
||||
|
||||
@@ -19,7 +19,7 @@ description: 智谱AI GLM 模型配置
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "glm-5",
|
||||
"open_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
|
||||
@@ -11,9 +11,13 @@ CowAgent 支持国内外主流厂商的大语言模型，模型接口实现在
|
||||
|
||||
## 配置方式
|
||||
|
||||
根据所选模型，在 `config.json` 中填写对应的模型名称和 API Key 即可。每个模型也支持 OpenAI 兼容方式接入，将 `bot_type` 设为 `chatGPT`，配置 `open_ai_api_base` 和 `open_ai_api_key`。
|
||||
根据所选模型，在 `config.json` 中填写对应的模型名称和 API Key 即可。每个模型也支持 OpenAI 兼容方式接入，将 `bot_type` 设为 `openai`，配置 `open_ai_api_base` 和 `open_ai_api_key`。
|
||||
|
||||
同时支持使用 [LinkAI](https://link-ai.tech) 平台接口，可灵活切换多种模型并支持知识库、工作流等 Agent 能力。
|
||||
同时支持使用 [LinkAI](https://link-ai.tech) 平台接口，可灵活切换多种模型，并支持知识库、工作流、插件等 Agent 能力。
|
||||
|
||||
也可以通过 [Web 控制台](/channels/web) 在线管理模型配置，无需手动编辑配置文件：
|
||||
|
||||
<img width="850" src="https://cdn.link-ai.tech/doc/20260227173811.png" />
|
||||
|
||||
## 支持的模型
|
||||
|
||||
|
||||
@@ -19,7 +19,7 @@ description: Kimi (Moonshot) 模型配置
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "kimi-k2.5",
|
||||
"open_ai_api_base": "https://api.moonshot.cn/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
|
||||
@@ -19,7 +19,7 @@ description: MiniMax 模型配置
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "MiniMax-M2.5",
|
||||
"open_ai_api_base": "https://api.minimaxi.com/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
|
||||
@@ -13,7 +13,7 @@ description: OpenAI 模型配置
|
||||
|
||||
| 参数 | 说明 |
|
||||
| --- | --- |
|
||||
| `model` | 与 OpenAI 接口的 [model 参数](https://platform.openai.com/docs/models) 一致，支持 o 系列、gpt-5.4、gpt-5 系列、gpt-4.1 等，Agent 模式推荐使用 `gpt-5.4` |
|
||||
| `model` | 与 OpenAI 接口的 [model 参数](https://platform.openai.com/docs/models) 一致，支持 o 系列、gpt-5.4、gpt-5.4-mini、gpt-5.4-nano、gpt-5 系列、gpt-4.1 等，Agent 模式推荐使用 `gpt-5.4` |
|
||||
| `open_ai_api_key` | 在 [OpenAI 平台](https://platform.openai.com/api-keys) 创建 |
|
||||
| `open_ai_api_base` | 可选，修改可接入第三方代理接口 |
|
||||
| `bot_type` | 使用 OpenAI 官方模型时无需填写。当通过代理接口使用 Claude 等非 OpenAI 模型时，设为 `chatGPT` |
|
||||
| `bot_type` | 使用 OpenAI 官方模型时无需填写。当通过代理接口使用 Claude 等非 OpenAI 模型时，设为 `openai` |
|
||||
|
||||
@@ -19,7 +19,7 @@ description: 通义千问模型配置
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "chatGPT",
|
||||
"bot_type": "openai",
|
||||
"model": "qwen3.5-plus",
|
||||
"open_ai_api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
|
||||
@@ -5,6 +5,7 @@ description: CowAgent 版本更新历史
|
||||
|
||||
| 版本 | 日期 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| [2.0.3](/releases/v2.0.3) | 2026.03.18 | 新增企微智能机器人和 QQ 通道、支持Coding Plan、新增多个模型、Web端文件处理、记忆系统升级 |
|
||||
| [2.0.2](/releases/v2.0.2) | 2026.02.27 | Web 控制台升级、多通道同时运行、会话持久化 |
|
||||
| [2.0.1](/releases/v2.0.1) | 2026.02.13 | 内置 Web Search 工具、智能上下文管理、多项修复 |
|
||||
| [2.0.0](/releases/v2.0.0) | 2026.02.03 | 全面升级为超级 Agent 助理 |
|
||||
|
||||
91
docs/releases/v2.0.3.mdx
Normal file
91
docs/releases/v2.0.3.mdx
Normal file
@@ -0,0 +1,91 @@
|
||||
---
|
||||
title: v2.0.3
|
||||
description: CowAgent 2.0.3 - 新增企微智能机器人和 QQ 通道、Web 控制台文件处理、记忆系统升级
|
||||
---
|
||||
|
||||
## 🔌 新增接入通道
|
||||
|
||||
### 企业微信智能机器人
|
||||
|
||||
新增企业微信智能机器人（`wecom_bot`）通道，支持流式卡片消息输出，支持文本和图片消息的接收与回复，可在 Web 控制台中进行通道配置和管理。
|
||||
|
||||
接入文档：[企微智能机器人接入](https://docs.cowagent.ai/channels/wecom-bot)。
|
||||
|
||||
相关提交：[d4480b6](https://github.com/zhayujie/chatgpt-on-wechat/commit/d4480b6), [a42f31f](https://github.com/zhayujie/chatgpt-on-wechat/commit/a42f31f), [4ecd4df](https://github.com/zhayujie/chatgpt-on-wechat/commit/4ecd4df), [8b45d6c](https://github.com/zhayujie/chatgpt-on-wechat/commit/8b45d6c)
|
||||
|
||||
### QQ 通道
|
||||
|
||||
新增 QQ 官方机器人（`qq`）通道，支持文本和图片消息的接收与回复，支持私聊和群聊场景。
|
||||
|
||||
接入文档参考：[QQ机器人接入](https://docs.cowagent.ai/channels/qq)。
|
||||
|
||||
相关提交：[005a0e1](https://github.com/zhayujie/chatgpt-on-wechat/commit/005a0e1), [a4d54f5](https://github.com/zhayujie/chatgpt-on-wechat/commit/a4d54f5)
|
||||
|
||||
## 🖥️ Web 控制台支持文件输入和处理
|
||||
|
||||
Web 控制台对话界面支持文件和图片上传，可直接发送文件给 Agent 进行处理。同时 Read 工具新增对 Office 文档（Word、Excel、PPT）的解析能力。
|
||||
|
||||
相关提交：[30c6d9b](https://github.com/zhayujie/chatgpt-on-wechat/commit/30c6d9b)
|
||||
|
||||
## 🤖 新增模型
|
||||
|
||||
- **GPT-5.4 系列**：新增 `gpt-5.4`、`gpt-5.4-mini`、`gpt-5.4-nano` 模型支持 ([1623deb](https://github.com/zhayujie/chatgpt-on-wechat/commit/1623deb))
|
||||
- **Gemini 3.1 Flash Lite Preview**：新增 `gemini-3.1-flash-lite-preview` 模型支持 ([ba915f2](https://github.com/zhayujie/chatgpt-on-wechat/commit/ba915f2))
|
||||
|
||||
## 💰 Coding Plan 支持
|
||||
|
||||
新增各厂商 Coding Plan（编程包月套餐）的接入支持，通过 OpenAI 兼容方式统一接入。目前已支持阿里云、MiniMax、智谱 GLM、Kimi、火山引擎等厂商。
|
||||
|
||||
详细配置参考 [Coding Plan 文档](https://docs.cowagent.ai/models/coding-plan)。
|
||||
|
||||
## 🧠 记忆系统升级
|
||||
|
||||
记忆写入（Memory Flush）升级：
|
||||
|
||||
- 使用 LLM 对超出上下文窗口的对话内容进行智能摘要，生成精炼的每日记忆条目
|
||||
- 摘要在后台线程异步执行，不阻塞回复
|
||||
- 优化上下文批量裁剪策略，降低冲刷频率
|
||||
- 新增每日定时冲刷兜底机制，避免低活跃场景下记忆丢失
|
||||
- 修复上下文记忆丢失问题
|
||||
|
||||
相关提交：[022c13f](https://github.com/zhayujie/chatgpt-on-wechat/commit/022c13f), [c116235](https://github.com/zhayujie/chatgpt-on-wechat/commit/c116235)
|
||||
|
||||
## 🔧 工具重构
|
||||
|
||||
- **图片识别**：将图片识别（Image Vision）从 Skill 重构为内置 Tool，新增独立的图片视觉提供方（Vision Provider）配置，提升稳定性和可维护性 ([a50fafa](https://github.com/zhayujie/chatgpt-on-wechat/commit/a50fafa), [3b8b562](https://github.com/zhayujie/chatgpt-on-wechat/commit/3b8b562))
|
||||
- **网页抓取**：将网页抓取（Web Fetch）从 Skill 重构为内置 Tool，支持远程文档文件（PDF、Word、Excel、PPT）的下载和解析 ([ccb9030](https://github.com/zhayujie/chatgpt-on-wechat/commit/ccb9030), [fa61744](https://github.com/zhayujie/chatgpt-on-wechat/commit/fa61744))
|
||||
|
||||
## 🐳 Docker 部署优化
|
||||
|
||||
- **配置模板对齐**：`docker-compose.yml` 环境变量与 `config-template.json` 对齐，补充完整的模型 API Key 和 Agent 等配置项
|
||||
- **Web 控制台端口映射**：新增 `9899` 端口映射，Docker 部署后可通过浏览器访问 Web 控制台
|
||||
- **配置热更新**：各模型 Bot 的 API Key 和 API Base 改为实时读取，通过 Web 控制台修改配置后无需重启即可生效
|
||||
- **工作空间持久化**：新增 `./cow` Volume 挂载，Agent 工作空间数据（记忆、人格、技能等）持久化到宿主机，容器重建或升级不丢失
|
||||
|
||||
## ⚡ 性能优化
|
||||
|
||||
- **启动加速**：飞书通道采用懒加载方式导入依赖，避免 4-10 秒的启动延迟 ([924dc79](https://github.com/zhayujie/chatgpt-on-wechat/commit/924dc79))
|
||||
- **通道稳定性**：优化通道连接稳定性，支持通道配置通过环境变量设置 ([f1c04bc](https://github.com/zhayujie/chatgpt-on-wechat/commit/f1c04bc), [46d97fd](https://github.com/zhayujie/chatgpt-on-wechat/commit/46d97fd))
|
||||
|
||||
## 🐛 问题修复
|
||||
|
||||
- **bot_type 配置**：修复 Agent 模式下 `bot_type` 配置传递问题 ([#2691](https://github.com/zhayujie/chatgpt-on-wechat/pull/2691)) Thanks [@Weikjssss](https://github.com/Weikjssss)
|
||||
- **bot_type 优先级**：调整 Agent 模式下 `bot_type` 的解析优先级 ([#2692](https://github.com/zhayujie/chatgpt-on-wechat/pull/2692)) Thanks [@6vision](https://github.com/6vision)
|
||||
- **智谱模型配置**：修复智谱 `bot_type` 命名、Web 控制台持久化及正则转义问题 ([#2693](https://github.com/zhayujie/chatgpt-on-wechat/pull/2693)) Thanks [@6vision](https://github.com/6vision)
|
||||
- **OpenAI 兼容层**：使用 `openai_compat` 层统一错误处理 ([#2688](https://github.com/zhayujie/chatgpt-on-wechat/pull/2688)) Thanks [@JasonOA888](https://github.com/JasonOA888)
|
||||
- **OpenAI 兼容迁移**：完成所有模型 Bot 的 `openai_compat` 迁移 ([#2689](https://github.com/zhayujie/chatgpt-on-wechat/pull/2689))
|
||||
- **Gemini 工具调用**：修复 Gemini 模型的工具调用匹配问题 ([eda82ba](https://github.com/zhayujie/chatgpt-on-wechat/commit/eda82ba))
|
||||
- **会话并发**：修复会话并发场景下的竞态条件问题 ([9879878](https://github.com/zhayujie/chatgpt-on-wechat/commit/9879878))
|
||||
- **历史消息恢复**：修复历史会话消息不完整问题，仅恢复 user/assistant 文本消息，剥离工具调用 ([b788a3d](https://github.com/zhayujie/chatgpt-on-wechat/commit/b788a3d), [a33ce97](https://github.com/zhayujie/chatgpt-on-wechat/commit/a33ce97))
|
||||
- **飞书群聊**：移除飞书群聊场景下对 `bot_name` 的依赖 ([b641bff](https://github.com/zhayujie/chatgpt-on-wechat/commit/b641bff))
|
||||
- **Safari 兼容**：修复 Safari 浏览器 IME 回车键误触发消息发送问题 ([0687916](https://github.com/zhayujie/chatgpt-on-wechat/commit/0687916))
|
||||
- **Windows 兼容**：修复 Windows 下 bash 风格 `$VAR` 环境变量转换为 `%VAR%` 的问题 ([7c67513](https://github.com/zhayujie/chatgpt-on-wechat/commit/7c67513))
|
||||
- **MiniMax 参数**：增加 MiniMax 模型的 `max_tokens` 限制 ([1767413](https://github.com/zhayujie/chatgpt-on-wechat/commit/1767413))
|
||||
- **.gitignore 更新**：添加 Python 目录忽略规则 ([#2683](https://github.com/zhayujie/chatgpt-on-wechat/pull/2683)) Thanks [@pelioo](https://github.com/pelioo)
|
||||
- **AGENT.md 主动演进**：优化系统提示词中对 AGENT.md 的更新引导，从被动的"用户修改时更新"改为主动识别对话中的性格、风格变化并自动更新
|
||||
|
||||
## 📦 升级方式
|
||||
|
||||
源码部署可执行 `./run.sh update` 一键升级，或手动拉取代码后重启。详见 [更新升级文档](https://docs.cowagent.ai/guide/upgrade)。
|
||||
|
||||
**发布日期**：2026.03.18 | [Full Changelog](https://github.com/zhayujie/chatgpt-on-wechat/compare/2.0.2...master)
|
||||
@@ -17,7 +17,7 @@ def create_bot(bot_type):
|
||||
from models.baidu.baidu_wenxin import BaiduWenxinBot
|
||||
return BaiduWenxinBot()
|
||||
|
||||
elif bot_type in (const.CHATGPT, const.DEEPSEEK): # DeepSeek uses OpenAI-compatible API
|
||||
elif bot_type in (const.OPENAI, const.CHATGPT, const.DEEPSEEK): # OpenAI-compatible API
|
||||
from models.chatgpt.chat_gpt_bot import ChatGPTBot
|
||||
return ChatGPTBot()
|
||||
|
||||
|
||||
@@ -30,11 +30,20 @@ user_session = dict()
|
||||
class ClaudeAPIBot(Bot, OpenAIImage):
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self.api_key = conf().get("claude_api_key")
|
||||
self.api_base = conf().get("claude_api_base") or "https://api.anthropic.com/v1"
|
||||
self.proxy = conf().get("proxy", None)
|
||||
self.sessions = SessionManager(BaiduWenxinSession, model=conf().get("model") or "text-davinci-003")
|
||||
|
||||
@property
|
||||
def api_key(self):
|
||||
return conf().get("claude_api_key")
|
||||
|
||||
@property
|
||||
def api_base(self):
|
||||
return conf().get("claude_api_base") or "https://api.anthropic.com/v1"
|
||||
|
||||
@property
|
||||
def proxy(self):
|
||||
return conf().get("proxy", None)
|
||||
|
||||
def reply(self, query, context=None):
|
||||
# acquire reply content
|
||||
if context and context.type:
|
||||
|
||||
@@ -35,10 +35,14 @@ class DashscopeBot(Bot):
|
||||
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")
|
||||
if self.api_key:
|
||||
os.environ["DASHSCOPE_API_KEY"] = self.api_key
|
||||
self.client = dashscope.Generation
|
||||
api_key = conf().get("dashscope_api_key")
|
||||
if api_key:
|
||||
os.environ["DASHSCOPE_API_KEY"] = api_key
|
||||
|
||||
@property
|
||||
def api_key(self):
|
||||
return conf().get("dashscope_api_key")
|
||||
|
||||
@staticmethod
|
||||
def _is_multimodal_model(model_name: str) -> bool:
|
||||
|
||||
@@ -24,13 +24,17 @@ class DoubaoBot(Bot):
|
||||
"temperature": conf().get("temperature", 0.8),
|
||||
"top_p": conf().get("top_p", 1.0),
|
||||
}
|
||||
self.api_key = conf().get("ark_api_key")
|
||||
self.base_url = conf().get("ark_base_url", "https://ark.cn-beijing.volces.com/api/v3")
|
||||
# Ensure base_url does not end with /chat/completions
|
||||
if self.base_url.endswith("/chat/completions"):
|
||||
self.base_url = self.base_url.rsplit("/chat/completions", 1)[0]
|
||||
if self.base_url.endswith("/"):
|
||||
self.base_url = self.base_url.rstrip("/")
|
||||
|
||||
@property
|
||||
def api_key(self):
|
||||
return conf().get("ark_api_key")
|
||||
|
||||
@property
|
||||
def base_url(self):
|
||||
url = conf().get("ark_base_url", "https://ark.cn-beijing.volces.com/api/v3")
|
||||
if url.endswith("/chat/completions"):
|
||||
url = url.rsplit("/chat/completions", 1)[0]
|
||||
return url.rstrip("/")
|
||||
|
||||
def reply(self, query, context=None):
|
||||
# acquire reply content
|
||||
|
||||
@@ -28,21 +28,18 @@ class GoogleGeminiBot(Bot):
|
||||
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self.api_key = conf().get("gemini_api_key")
|
||||
# 复用chatGPT的token计算方式
|
||||
self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "gpt-3.5-turbo")
|
||||
self.model = conf().get("model") or "gemini-pro"
|
||||
if self.model == "gemini":
|
||||
self.model = "gemini-pro"
|
||||
|
||||
# 支持自定义API base地址
|
||||
self.api_base = conf().get("gemini_api_base", "").strip()
|
||||
if self.api_base:
|
||||
# 移除末尾的斜杠
|
||||
self.api_base = self.api_base.rstrip('/')
|
||||
logger.info(f"[Gemini] Using custom API base: {self.api_base}")
|
||||
else:
|
||||
self.api_base = "https://generativelanguage.googleapis.com"
|
||||
|
||||
@property
|
||||
def api_key(self):
|
||||
return conf().get("gemini_api_key")
|
||||
|
||||
@property
|
||||
def api_base(self):
|
||||
base = conf().get("gemini_api_base", "").strip()
|
||||
if base:
|
||||
return base.rstrip('/')
|
||||
return "https://generativelanguage.googleapis.com"
|
||||
|
||||
def reply(self, query, context: Context = None) -> Reply:
|
||||
session_id = None
|
||||
|
||||
@@ -24,21 +24,19 @@ class MinimaxBot(Bot):
|
||||
"temperature": conf().get("temperature", 0.3),
|
||||
"top_p": conf().get("top_p", 0.95),
|
||||
}
|
||||
# Use unified key name: minimax_api_key
|
||||
self.api_key = conf().get("minimax_api_key")
|
||||
if not self.api_key:
|
||||
# Fallback to old key name for backward compatibility
|
||||
self.api_key = conf().get("Minimax_api_key")
|
||||
if self.api_key:
|
||||
logger.warning("[MINIMAX] 'Minimax_api_key' is deprecated, please use 'minimax_api_key' instead")
|
||||
|
||||
# REST API endpoint
|
||||
# Use Chinese endpoint by default, users can override in config
|
||||
# International users should set: "minimax_api_base": "https://api.minimax.io/v1"
|
||||
self.api_base = conf().get("minimax_api_base", "https://api.minimaxi.com/v1")
|
||||
|
||||
self.sessions = SessionManager(MinimaxSession, model=const.MiniMax)
|
||||
|
||||
@property
|
||||
def api_key(self):
|
||||
key = conf().get("minimax_api_key")
|
||||
if not key:
|
||||
key = conf().get("Minimax_api_key")
|
||||
return key
|
||||
|
||||
@property
|
||||
def api_base(self):
|
||||
return conf().get("minimax_api_base", "https://api.minimaxi.com/v1")
|
||||
|
||||
def reply(self, query, context: Context = None) -> Reply:
|
||||
# acquire reply content
|
||||
logger.info("[MINIMAX] query={}".format(query))
|
||||
|
||||
@@ -26,8 +26,14 @@ class ModelScopeBot(Bot):
|
||||
"temperature": conf().get("temperature", 0.3), # 如果设置，值域须为 [0, 1] 我们推荐 0.3，以达到较合适的效果。
|
||||
"top_p": conf().get("top_p", 1.0), # 使用默认值
|
||||
}
|
||||
self.api_key = conf().get("modelscope_api_key")
|
||||
self.base_url = conf().get("modelscope_base_url", "https://api-inference.modelscope.cn/v1/chat/completions")
|
||||
|
||||
@property
|
||||
def api_key(self):
|
||||
return conf().get("modelscope_api_key")
|
||||
|
||||
@property
|
||||
def base_url(self):
|
||||
return conf().get("modelscope_base_url", "https://api-inference.modelscope.cn/v1/chat/completions")
|
||||
"""
|
||||
需要获取ModelScope支持API-inference的模型名称列表，请到魔搭社区官网模型中心查看 https://modelscope.cn/models?filter=inference_type&page=1。
|
||||
或者使用命令 curl https://api-inference.modelscope.cn/v1/models 对模型列表和ID进行获取。查看commend/const.py文件也可以获取模型列表。
|
||||
|
||||
@@ -26,13 +26,17 @@ class MoonshotBot(Bot):
|
||||
"temperature": conf().get("temperature", 0.3),
|
||||
"top_p": conf().get("top_p", 1.0),
|
||||
}
|
||||
self.api_key = conf().get("moonshot_api_key")
|
||||
self.base_url = conf().get("moonshot_base_url", "https://api.moonshot.cn/v1")
|
||||
# Ensure base_url does not end with /chat/completions (backward compat)
|
||||
if self.base_url.endswith("/chat/completions"):
|
||||
self.base_url = self.base_url.rsplit("/chat/completions", 1)[0]
|
||||
if self.base_url.endswith("/"):
|
||||
self.base_url = self.base_url.rstrip("/")
|
||||
|
||||
@property
|
||||
def api_key(self):
|
||||
return conf().get("moonshot_api_key")
|
||||
|
||||
@property
|
||||
def base_url(self):
|
||||
url = conf().get("moonshot_base_url", "https://api.moonshot.cn/v1")
|
||||
if url.endswith("/chat/completions"):
|
||||
url = url.rsplit("/chat/completions", 1)[0]
|
||||
return url.rstrip("/")
|
||||
|
||||
def reply(self, query, context=None):
|
||||
# acquire reply content
|
||||
|
||||
@@ -64,7 +64,7 @@ class Dungeon(Plugin):
|
||||
if e_context["context"].type != ContextType.TEXT:
|
||||
return
|
||||
bottype = Bridge().get_bot_type("chat")
|
||||
if bottype not in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI]:
|
||||
if bottype not in [const.OPEN_AI, const.OPENAI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI]:
|
||||
return
|
||||
bot = Bridge().get_bot("chat")
|
||||
content = e_context["context"].content[:]
|
||||
|
||||
@@ -315,7 +315,7 @@ 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, const.ZHIPU_AI, const.CLAUDEAPI]:
|
||||
if bottype in [const.OPEN_AI, const.OPENAI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI, const.BAIDU, const.XUNFEI, const.QWEN, const.GEMINI, const.ZHIPU_AI, const.CLAUDEAPI]:
|
||||
bot.sessions.clear_session(session_id)
|
||||
if Bridge().chat_bots.get(bottype):
|
||||
Bridge().chat_bots.get(bottype).sessions.clear_session(session_id)
|
||||
@@ -340,7 +340,7 @@ class Godcmd(Plugin):
|
||||
load_config()
|
||||
ok, result = True, "配置已重载"
|
||||
elif cmd == "resetall":
|
||||
if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI,
|
||||
if bottype in [const.OPEN_AI, const.OPENAI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI,
|
||||
const.BAIDU, const.XUNFEI, const.QWEN, const.GEMINI, const.ZHIPU_AI, const.MOONSHOT,
|
||||
const.MODELSCOPE]:
|
||||
channel.cancel_all_session()
|
||||
|
||||
@@ -99,7 +99,7 @@ class Role(Plugin):
|
||||
if e_context["context"].type != ContextType.TEXT:
|
||||
return
|
||||
btype = Bridge().get_bot_type("chat")
|
||||
if btype not in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.QWEN_DASHSCOPE, const.XUNFEI, const.BAIDU, const.ZHIPU_AI, const.MOONSHOT, const.MiniMax, const.LINKAI,const.MODELSCOPE]:
|
||||
if btype not in [const.OPEN_AI, const.OPENAI, const.CHATGPT, const.CHATGPTONAZURE, const.QWEN_DASHSCOPE, const.XUNFEI, const.BAIDU, const.ZHIPU_AI, const.MOONSHOT, const.MiniMax, const.LINKAI, const.MODELSCOPE]:
|
||||
logger.debug(f'不支持的bot: {btype}')
|
||||
return
|
||||
bot = Bridge().get_bot("chat")
|
||||
|
||||
@@ -52,6 +52,7 @@ class Tool(Plugin):
|
||||
|
||||
# 暂时不支持未来扩展的bot
|
||||
if Bridge().get_bot_type("chat") not in (
|
||||
const.OPENAI,
|
||||
const.CHATGPT,
|
||||
const.OPEN_AI,
|
||||
const.CHATGPTONAZURE,
|
||||
|
||||
Reference in New Issue
Block a user