Feat/wecom aibot processing message config (#1785)
* feat(wecom_aibot): make processing message configurable * docs(wecom): document ai bot processing message * test(wecom_aibot): adapt webhook tests to channel interface * fix: lint err
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10 changed files with 268 additions and 36 deletions
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# 企业微信智能机器人 (AI Bot)
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# 企业微信智能机器人 (AI Bot)
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企业微信智能机器人(AI Bot)是企业微信官方提供的 AI 对话接入方式,支持私聊与群聊,内置流式响应协议。
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企业微信智能机器人(AI Bot)是企业微信官方提供的 AI 对话接入方式,支持私聊与群聊,内置流式响应协议。PicoClaw 当前同时支持两种接入模式:
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- WebSocket 长连接模式:使用 `bot_id` + `secret`,优先级更高,推荐使用
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- Webhook 短连接模式:使用 `token` + `encoding_aes_key`,兼容传统回调,并支持超时后通过 `response_url` 主动推送最终回复
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## 与其他 WeCom 通道的对比
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## 与其他 WeCom 通道的对比
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@ -14,6 +17,8 @@
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## 配置
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## 配置
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### WebSocket 长连接模式(推荐)
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```json
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```json
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{
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{
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"channels": {
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"channels": {
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@ -29,22 +34,113 @@
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}
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}
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```
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```
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| 字段 | 类型 | 必填 | 描述 |
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### Webhook 短连接模式
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| ---------------- | ------ | ---- | -------------------------------------------------- |
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| bot_id | string | 是 | AI Bot 的唯一标识,在 AI Bot 管理页面配置 |
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```json
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| secret | string | 是 | AI Bot 的密钥,在 AI Bot 管理页面配置 |
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{
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| allow_from | array | 否 | 用户 ID 白名单,空数组表示允许所有用户 |
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"channels": {
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| welcome_message | string | 否 | 用户进入聊天时发送的欢迎语,留空则不发送 |
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"wecom_aibot": {
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| reply_timeout | int | 否 | 回复超时时间(秒,默认:5) |
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"enabled": true,
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| max_steps | int | 否 | Agent 最大执行步骤数(默认:10) |
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"token": "YOUR_TOKEN",
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"webhook_path": "/webhook/wecom-aibot",
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"allow_from": [],
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"welcome_message": "你好!有什么可以帮助你的吗?",
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"processing_message": "⏳ Processing, please wait. The results will be sent shortly.",
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"max_steps": 10
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}
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}
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}
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```
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### WebSocket 模式字段
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| 字段 | 类型 | 必填 | 描述 |
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|--------|--------|------|--------------------------------------------|
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| bot_id | string | 是 | AI Bot 的唯一标识,在 AI Bot 管理页面配置 |
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| secret | string | 是 | AI Bot 的密钥,在 AI Bot 管理页面配置 |
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### Webhook 模式字段
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| 字段 | 类型 | 必填 | 描述 |
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|------------------|--------|------|----------------------------------------------|
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| token | string | 是 | 回调验证令牌,在 AI Bot 管理页面配置 |
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| encoding_aes_key | string | 是 | 43 字符 AES 密钥,在 AI Bot 管理页面随机生成 |
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| webhook_path | string | 否 | Webhook 路径,默认 `/webhook/wecom-aibot` |
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| processing_message | string | 否 | 流式超时后返回给用户的提示语 |
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### 通用字段
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| 字段 | 类型 | 必填 | 描述 |
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|-----------------|--------|------|------------------------------------------|
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| allow_from | array | 否 | 用户 ID 白名单,空数组表示允许所有用户 |
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| welcome_message | string | 否 | 用户进入聊天时发送的欢迎语,留空则不发送 |
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| reply_timeout | int | 否 | 回复超时时间(秒,默认:5) |
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| max_steps | int | 否 | Agent 最大执行步骤数(默认:10) |
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## 模式选择
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- 当 `bot_id` 和 `secret` 同时存在时,PicoClaw 会优先使用 WebSocket 长连接模式
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- 否则,当 `token` 和 `encoding_aes_key` 同时存在时,PicoClaw 会使用 Webhook 短连接模式
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## 设置流程
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## 设置流程
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### WebSocket 长连接模式
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1. 登录 [企业微信管理后台](https://work.weixin.qq.com/wework_admin)
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1. 登录 [企业微信管理后台](https://work.weixin.qq.com/wework_admin)
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2. 进入"应用管理" → "智能机器人",创建或选择一个 AI Bot
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2. 进入"应用管理" → "智能机器人",创建或选择一个 AI Bot
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3. 在 AI Bot 配置页面,配置Bot的名称、头像等信息,获取 `Bot ID` 和 `Secret`
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3. 在 AI Bot 配置页面,配置 Bot 的名称、头像等信息,获取 `Bot ID` 和 `Secret`
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4. 在 PicoClaw 配置文件中添加上述配置,重启 PicoClaw
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4. 在 PicoClaw 配置文件中添加上述配置,重启 PicoClaw
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### Webhook 短连接模式
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1. 登录 [企业微信管理后台](https://work.weixin.qq.com/wework_admin)
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2. 进入"应用管理" → "智能机器人",创建或选择一个 AI Bot
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3. 在 AI Bot 配置页面,填写"消息接收"信息:
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- **URL**:`http://<your-server-ip>:18791/webhook/wecom-aibot`
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- **Token**:随机生成或自定义
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- **EncodingAESKey**:点击"随机生成",得到 43 字符密钥
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4. 将 Token 和 EncodingAESKey 填入 PicoClaw 配置文件,启动服务后回到管理后台保存
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> [!TIP]
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> 服务器需要能被企业微信服务器访问。如在内网或本地开发,可使用 [ngrok](https://ngrok.com) 或 frp 做内网穿透。
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## Webhook 模式的流式响应协议
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Webhook 模式使用"流式拉取"协议,区别于普通 Webhook 的一次性回复:
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```
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用户发消息
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│
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▼
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PicoClaw 立即返回 {finish: false}(Agent 开始处理)
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│
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▼
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企业微信每隔约 1 秒拉取一次 {msgtype: "stream", stream: {id: "..."}}
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│
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├─ Agent 未完成 → 返回 {finish: false}(继续等待)
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│
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└─ Agent 完成 → 返回 {finish: true, content: "回答内容"}
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```
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**超时处理**(任务超过约 30 秒):
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若 Agent 处理时间超过轮询窗口,PicoClaw 会:
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1. 立即关闭流,向用户显示 `processing_message` 提示语
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2. Agent 继续在后台运行
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3. Agent 完成后,通过消息中携带的 `response_url` 将最终回复主动推送给用户
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> `response_url` 由企业微信颁发,有效期 1 小时,只可使用一次,无需加密,直接 POST markdown 消息体即可。
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## 超时提示语
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配置 `processing_message` 后,当 Webhook 模式的流式轮询超时并切换到 `response_url` 主动推送模式时,PicoClaw 会先返回这段提示语来结束当前流。
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```json
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"processing_message": "⏳ Processing, please wait. The results will be sent shortly."
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```
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## 欢迎语
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## 欢迎语
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配置 `welcome_message` 后,当用户打开与 AI Bot 的聊天窗口时(`enter_chat` 事件),PicoClaw 会自动回复该欢迎语。留空则静默忽略。
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配置 `welcome_message` 后,当用户打开与 AI Bot 的聊天窗口时(`enter_chat` 事件),PicoClaw 会自动回复该欢迎语。留空则静默忽略。
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## 常见问题
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## 常见问题
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### WebSocket 模式无法连接
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- 检查 `bot_id` 和 `secret` 是否填写正确
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- 查看日志中是否有 WebSocket 连接或鉴权失败信息
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- 确认服务器可以访问企业微信长连接接口
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### 回调 URL 验证失败
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- 确认 `token` 与 `encoding_aes_key` 填写正确
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- 确认服务器防火墙已开放对应端口
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- 检查 PicoClaw 日志是否收到了来自企业微信的验证请求
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### 消息没有回复
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### 消息没有回复
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- 检查 `allow_from` 是否意外限制了发送者
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- 检查 `allow_from` 是否意外限制了发送者
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- 查看日志中是否出现 `context canceled` 或 Agent 错误
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- 查看日志中是否出现 `context canceled` 或 Agent 错误
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- 确认 Agent 配置(`model_name` 等)正确
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- 确认 Agent 配置(`model_name` 等)正确
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### 超长任务没有收到最终推送
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- 确认消息回调中携带了 `response_url`
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- 确认服务器能主动访问外网
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- 查看日志关键词 `response_url mode` 和 `Sending reply via response_url`
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## 参考文档
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## 参考文档
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- [企业微信 AI Bot 接入文档](https://developer.work.weixin.qq.com/document/path/101463)
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- [企业微信 AI Bot 接入文档](https://developer.work.weixin.qq.com/document/path/101463)
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- [流式响应协议说明](https://developer.work.weixin.qq.com/document/path/100719)
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- [response_url 主动回复](https://developer.work.weixin.qq.com/document/path/101138)
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@ -414,7 +414,8 @@ picoclaw gateway
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"webhook_path": "/webhook/wecom-aibot",
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"webhook_path": "/webhook/wecom-aibot",
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"allow_from": [],
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"allow_from": [],
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"welcome_message": "Hello! How can I help you?"
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"welcome_message": "Hello! How can I help you?",
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"processing_message": "⏳ Processing, please wait. The results will be sent shortly."
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}
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}
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}
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}
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}
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}
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"webhook_path": "/webhook/wecom-aibot",
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"webhook_path": "/webhook/wecom-aibot",
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"allow_from": [],
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"allow_from": [],
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"welcome_message": "Hello! How can I help you?"
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"welcome_message": "Hello! How can I help you?",
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"processing_message": "⏳ Processing, please wait. The results will be sent shortly."
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}
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}
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}
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}
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}
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}
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"webhook_path": "/webhook/wecom-aibot",
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"webhook_path": "/webhook/wecom-aibot",
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"allow_from": [],
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"allow_from": [],
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"welcome_message": "こんにちは!何かお手伝いできますか?"
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"welcome_message": "こんにちは!何かお手伝いできますか?",
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"processing_message": "⏳ Processing, please wait. The results will be sent shortly."
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}
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}
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}
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}
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}
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}
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"webhook_path": "/webhook/wecom-aibot",
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"webhook_path": "/webhook/wecom-aibot",
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"allow_from": [],
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"allow_from": [],
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"welcome_message": "Hello! How can I help you?"
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"welcome_message": "Hello! How can I help you?",
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"processing_message": "⏳ Processing, please wait. The results will be sent shortly."
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}
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}
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}
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}
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}
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}
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
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"webhook_path": "/webhook/wecom-aibot",
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"webhook_path": "/webhook/wecom-aibot",
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"allow_from": [],
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"allow_from": [],
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"welcome_message": "你好!有什么可以帮你的?"
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"welcome_message": "你好!有什么可以帮你的?",
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"processing_message": "⏳ Processing, please wait. The results will be sent shortly."
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}
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}
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}
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}
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}
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}
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"WeCom AI Bot requires either (bot_id + secret) for WebSocket mode " +
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"WeCom AI Bot requires either (bot_id + secret) for WebSocket mode " +
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"or (token + encoding_aes_key) for webhook mode")
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"or (token + encoding_aes_key) for webhook mode")
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}
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}
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if cfg.ProcessingMessage == "" {
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cfg.ProcessingMessage = config.DefaultWeComAIBotProcessingMessage
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}
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base := channels.NewBaseChannel("wecom_aibot", cfg, messageBus, cfg.AllowFrom,
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base := channels.NewBaseChannel("wecom_aibot", cfg, messageBus, cfg.AllowFrom,
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channels.WithMaxMessageLength(2048),
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channels.WithMaxMessageLength(2048),
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default:
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default:
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if time.Now().After(task.Deadline) {
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if time.Now().After(task.Deadline) {
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// Deadline reached: close the stream with a notice, then wait for agent via response_url.
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// Deadline reached: close the stream with a notice, then wait for agent via response_url.
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content = "⏳ Processing, please wait. The results will be sent shortly."
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content = c.config.ProcessingMessage
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finish = true
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finish = true
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closeStreamOnly = true
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closeStreamOnly = true
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logger.InfoCF(
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logger.InfoCF(
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@ -2,6 +2,7 @@ package wecom
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import (
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import (
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"context"
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"context"
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"encoding/json"
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"testing"
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"testing"
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"time"
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"time"
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@ -134,6 +135,87 @@ func TestWeComAIBotChannelWebhookPath(t *testing.T) {
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})
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})
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}
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}
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func TestWeComAIBotChannelGetStreamResponseProcessingMessage(t *testing.T) {
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validAESKey := "abcdefghijklmnopqrstuvwxyz0123456789ABCDEFG"
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t.Run("uses default processing message", func(t *testing.T) {
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cfg := config.WeComAIBotConfig{
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Enabled: true,
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Token: "test_token",
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EncodingAESKey: validAESKey,
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}
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messageBus := bus.NewMessageBus()
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channel, err := NewWeComAIBotChannel(cfg, messageBus)
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if err != nil {
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t.Fatalf("Failed to create channel: %v", err)
|
||||||
|
}
|
||||||
|
ch, ok := channel.(*WeComAIBotChannel)
|
||||||
|
if !ok {
|
||||||
|
t.Fatal("Expected webhook mode channel")
|
||||||
|
}
|
||||||
|
|
||||||
|
task := &streamTask{
|
||||||
|
StreamID: "stream-default",
|
||||||
|
ChatID: "chat-default",
|
||||||
|
Deadline: time.Now().Add(-time.Second),
|
||||||
|
}
|
||||||
|
ch.streamTasks[task.StreamID] = task
|
||||||
|
ch.chatTasks[task.ChatID] = []*streamTask{task}
|
||||||
|
|
||||||
|
resp := decodeStreamResponse(t, ch, ch.getStreamResponse(task, "1234567890", "nonce"))
|
||||||
|
|
||||||
|
if !resp.Stream.Finish {
|
||||||
|
t.Fatal("Expected finished stream response after deadline")
|
||||||
|
}
|
||||||
|
if resp.Stream.Content != config.DefaultWeComAIBotProcessingMessage {
|
||||||
|
t.Fatalf("Expected default processing message %q, got %q",
|
||||||
|
config.DefaultWeComAIBotProcessingMessage, resp.Stream.Content)
|
||||||
|
}
|
||||||
|
if !task.StreamClosed {
|
||||||
|
t.Fatal("Expected task stream to be marked closed")
|
||||||
|
}
|
||||||
|
if _, ok := ch.streamTasks[task.StreamID]; ok {
|
||||||
|
t.Fatal("Expected closed stream task to be removed from streamTasks")
|
||||||
|
}
|
||||||
|
if len(ch.chatTasks[task.ChatID]) != 1 {
|
||||||
|
t.Fatalf("Expected task to remain queued for response_url delivery, got %d entries",
|
||||||
|
len(ch.chatTasks[task.ChatID]))
|
||||||
|
}
|
||||||
|
})
|
||||||
|
|
||||||
|
t.Run("uses custom processing message", func(t *testing.T) {
|
||||||
|
cfg := config.WeComAIBotConfig{
|
||||||
|
Enabled: true,
|
||||||
|
Token: "test_token",
|
||||||
|
EncodingAESKey: validAESKey,
|
||||||
|
ProcessingMessage: "Please wait a moment. The result will be delivered in a follow-up message.",
|
||||||
|
}
|
||||||
|
|
||||||
|
messageBus := bus.NewMessageBus()
|
||||||
|
channel, err := NewWeComAIBotChannel(cfg, messageBus)
|
||||||
|
if err != nil {
|
||||||
|
t.Fatalf("Failed to create channel: %v", err)
|
||||||
|
}
|
||||||
|
ch, ok := channel.(*WeComAIBotChannel)
|
||||||
|
if !ok {
|
||||||
|
t.Fatal("Expected webhook mode channel")
|
||||||
|
}
|
||||||
|
|
||||||
|
task := &streamTask{
|
||||||
|
StreamID: "stream-custom",
|
||||||
|
ChatID: "chat-custom",
|
||||||
|
Deadline: time.Now().Add(-time.Second),
|
||||||
|
}
|
||||||
|
|
||||||
|
resp := decodeStreamResponse(t, ch, ch.getStreamResponse(task, "1234567890", "nonce"))
|
||||||
|
|
||||||
|
if resp.Stream.Content != cfg.ProcessingMessage {
|
||||||
|
t.Fatalf("Expected custom processing message %q, got %q", cfg.ProcessingMessage, resp.Stream.Content)
|
||||||
|
}
|
||||||
|
})
|
||||||
|
}
|
||||||
|
|
||||||
func TestGenerateStreamID(t *testing.T) {
|
func TestGenerateStreamID(t *testing.T) {
|
||||||
cfg := config.WeComAIBotConfig{
|
cfg := config.WeComAIBotConfig{
|
||||||
Enabled: true,
|
Enabled: true,
|
||||||
|
|
@ -208,6 +290,27 @@ func TestGenerateSignature(t *testing.T) {
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
func decodeStreamResponse(t *testing.T, ch *WeComAIBotChannel, encryptedResponse string) WeComAIBotStreamResponse {
|
||||||
|
t.Helper()
|
||||||
|
|
||||||
|
var wrapped WeComAIBotEncryptedResponse
|
||||||
|
if err := json.Unmarshal([]byte(encryptedResponse), &wrapped); err != nil {
|
||||||
|
t.Fatalf("Failed to unmarshal encrypted response: %v", err)
|
||||||
|
}
|
||||||
|
|
||||||
|
plaintext, err := decryptMessageWithVerify(wrapped.Encrypt, ch.config.EncodingAESKey, "")
|
||||||
|
if err != nil {
|
||||||
|
t.Fatalf("Failed to decrypt response: %v", err)
|
||||||
|
}
|
||||||
|
|
||||||
|
var resp WeComAIBotStreamResponse
|
||||||
|
if err := json.Unmarshal([]byte(plaintext), &resp); err != nil {
|
||||||
|
t.Fatalf("Failed to unmarshal decrypted response: %v", err)
|
||||||
|
}
|
||||||
|
|
||||||
|
return resp
|
||||||
|
}
|
||||||
|
|
||||||
// ---- WebSocket long-connection mode tests ----
|
// ---- WebSocket long-connection mode tests ----
|
||||||
|
|
||||||
func TestNewWeComAIBotChannel_WSMode(t *testing.T) {
|
func TestNewWeComAIBotChannel_WSMode(t *testing.T) {
|
||||||
|
|
|
||||||
|
|
@ -247,7 +247,10 @@ type AgentDefaults struct {
|
||||||
ToolFeedback ToolFeedbackConfig `json:"tool_feedback,omitempty"`
|
ToolFeedback ToolFeedbackConfig `json:"tool_feedback,omitempty"`
|
||||||
}
|
}
|
||||||
|
|
||||||
const DefaultMaxMediaSize = 20 * 1024 * 1024 // 20 MB
|
const (
|
||||||
|
DefaultMaxMediaSize = 20 * 1024 * 1024 // 20 MB
|
||||||
|
DefaultWeComAIBotProcessingMessage = "⏳ Processing, please wait. The results will be sent shortly."
|
||||||
|
)
|
||||||
|
|
||||||
func (d *AgentDefaults) GetMaxMediaSize() int {
|
func (d *AgentDefaults) GetMaxMediaSize() int {
|
||||||
if d.MaxMediaSize > 0 {
|
if d.MaxMediaSize > 0 {
|
||||||
|
|
@ -474,17 +477,18 @@ type WeComAppConfig struct {
|
||||||
}
|
}
|
||||||
|
|
||||||
type WeComAIBotConfig struct {
|
type WeComAIBotConfig struct {
|
||||||
Enabled bool `json:"enabled" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_ENABLED"`
|
Enabled bool `json:"enabled" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_ENABLED"`
|
||||||
BotID string `json:"bot_id,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_BOT_ID"`
|
BotID string `json:"bot_id,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_BOT_ID"`
|
||||||
Secret string `json:"secret,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_SECRET"`
|
Secret string `json:"secret,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_SECRET"`
|
||||||
Token string `json:"token,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_TOKEN"`
|
Token string `json:"token,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_TOKEN"`
|
||||||
EncodingAESKey string `json:"encoding_aes_key,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_ENCODING_AES_KEY"`
|
EncodingAESKey string `json:"encoding_aes_key,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_ENCODING_AES_KEY"`
|
||||||
WebhookPath string `json:"webhook_path,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_WEBHOOK_PATH"`
|
WebhookPath string `json:"webhook_path,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_WEBHOOK_PATH"`
|
||||||
AllowFrom FlexibleStringSlice `json:"allow_from" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_ALLOW_FROM"`
|
AllowFrom FlexibleStringSlice `json:"allow_from" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_ALLOW_FROM"`
|
||||||
ReplyTimeout int `json:"reply_timeout" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_REPLY_TIMEOUT"`
|
ReplyTimeout int `json:"reply_timeout" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_REPLY_TIMEOUT"`
|
||||||
MaxSteps int `json:"max_steps" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_MAX_STEPS"`
|
MaxSteps int `json:"max_steps" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_MAX_STEPS"` // Maximum streaming steps
|
||||||
WelcomeMessage string `json:"welcome_message" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_WELCOME_MESSAGE"`
|
WelcomeMessage string `json:"welcome_message" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_WELCOME_MESSAGE"` // Sent on enter_chat event; empty = no welcome
|
||||||
ReasoningChannelID string `json:"reasoning_channel_id" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_REASONING_CHANNEL_ID"`
|
ProcessingMessage string `json:"processing_message,omitempty" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_PROCESSING_MESSAGE"`
|
||||||
|
ReasoningChannelID string `json:"reasoning_channel_id" env:"PICOCLAW_CHANNELS_WECOM_AIBOT_REASONING_CHANNEL_ID"`
|
||||||
}
|
}
|
||||||
|
|
||||||
type PicoConfig struct {
|
type PicoConfig struct {
|
||||||
|
|
|
||||||
|
|
@ -163,14 +163,15 @@ func DefaultConfig() *Config {
|
||||||
ReplyTimeout: 5,
|
ReplyTimeout: 5,
|
||||||
},
|
},
|
||||||
WeComAIBot: WeComAIBotConfig{
|
WeComAIBot: WeComAIBotConfig{
|
||||||
Enabled: false,
|
Enabled: false,
|
||||||
Token: "",
|
Token: "",
|
||||||
EncodingAESKey: "",
|
EncodingAESKey: "",
|
||||||
WebhookPath: "/webhook/wecom-aibot",
|
WebhookPath: "/webhook/wecom-aibot",
|
||||||
AllowFrom: FlexibleStringSlice{},
|
AllowFrom: FlexibleStringSlice{},
|
||||||
ReplyTimeout: 5,
|
ReplyTimeout: 5,
|
||||||
MaxSteps: 10,
|
MaxSteps: 10,
|
||||||
WelcomeMessage: "Hello! I'm your AI assistant. How can I help you today?",
|
WelcomeMessage: "Hello! I'm your AI assistant. How can I help you today?",
|
||||||
|
ProcessingMessage: DefaultWeComAIBotProcessingMessage,
|
||||||
},
|
},
|
||||||
Pico: PicoConfig{
|
Pico: PicoConfig{
|
||||||
Enabled: false,
|
Enabled: false,
|
||||||
|
|
|
||||||
Loading…
Add table
Reference in a new issue