diff --git a/channel/web/chat.html b/channel/web/chat.html
index 886a857..37f28ae 100644
--- a/channel/web/chat.html
+++ b/channel/web/chat.html
@@ -192,10 +192,24 @@
+
+
+
+
+
+
+
+
+
+
+ cursor-pointer transition-colors duration-150" title="GitHub">
diff --git a/docs/channels/dingtalk.mdx b/docs/channels/dingtalk.mdx
index c01bb36..df11019 100644
--- a/docs/channels/dingtalk.mdx
+++ b/docs/channels/dingtalk.mdx
@@ -7,15 +7,29 @@ description: 将 CowAgent 接入钉钉应用
## 一、创建应用
-1. 进入 [钉钉开发者后台](https://open-dev.dingtalk.com/fe/app#/corp/app)，点击 **创建应用**，填写应用信息
-2. 点击添加应用能力，选择 **机器人** 能力并添加
-3. 配置机器人信息后点击 **发布**
+1. 进入 [钉钉开发者后台](https://open-dev.dingtalk.com/fe/app#/corp/app)，登录后点击 **创建应用**，填写应用相关信息：
+
+
+
+2. 点击添加应用能力，选择 **机器人** 能力，点击 **添加**：
+
+
+
+3. 配置机器人信息后点击 **发布**。发布后，点击 "**点击调试**"，会自动创建测试群聊，可在客户端查看：
+
+
+
+4. 点击 **版本管理与发布**，创建新版本发布：
+
+
## 二、项目配置
-1. 在 **凭证与基础信息** 中获取 `Client ID` 和 `Client Secret`
+1. 点击 **凭证与基础信息**，获取 `Client ID` 和 `Client Secret`：
-2. 填入 `config.json`：
+
+
+2. 将以下配置加入项目根目录的 `config.json` 文件：
```json
{
@@ -31,8 +45,12 @@ description: 将 CowAgent 接入钉钉应用
pip3 install dingtalk_stream
```
-4. 启动项目后，在钉钉开发者后台点击 **事件订阅**，点击 **已完成接入，验证连接通道**，显示"连接接入成功"即表示配置完成
+4. 启动项目后，在钉钉开发者后台点击 **事件订阅**，点击 **已完成接入，验证连接通道**，显示 **连接接入成功** 即表示配置完成：
+
+
## 三、使用
-与机器人私聊或将机器人拉入企业群中均可开启对话。
+与机器人私聊或将机器人拉入企业群中均可开启对话：
+
+
diff --git a/docs/channels/feishu.mdx b/docs/channels/feishu.mdx
index f69e3af..575aa48 100644
--- a/docs/channels/feishu.mdx
+++ b/docs/channels/feishu.mdx
@@ -3,65 +3,67 @@ title: 飞书
description: 将 CowAgent 接入飞书应用
---
-通过自建应用将 CowAgent 接入飞书，支持 WebSocket 长连接（推荐）和 Webhook 两种事件接收模式。
+通过自建应用将 CowAgent 接入飞书，需要是飞书企业用户且具有企业管理权限。
## 一、创建企业自建应用
### 1. 创建应用
-进入 [飞书开发平台](https://open.feishu.cn/app/)，点击 **创建企业自建应用**，填写必要信息后创建。
+进入 [飞书开发平台](https://open.feishu.cn/app/)，点击 **创建企业自建应用**，填写必要信息后点击 **创建**：
+
+
### 2. 添加机器人能力
-在 **添加应用能力** 菜单中，为应用添加 **机器人** 能力。
+在 **添加应用能力** 菜单中，为应用添加 **机器人** 能力：
+
+
### 3. 配置应用权限
-点击 **权限管理**，粘贴以下权限配置，全选并批量开通：
+点击 **权限管理**，复制以下权限配置，粘贴到 **权限配置** 下方的输入框内，全选筛选出来的权限，点击 **批量开通** 并确认：
```
im:message,im:message.group_at_msg,im:message.group_at_msg:readonly,im:message.p2p_msg,im:message.p2p_msg:readonly,im:message:send_as_bot,im:resource
```
+
+
## 二、项目配置
-在 **凭证与基础信息** 中获取 `App ID` 和 `App Secret`，填入 `config.json`：
+1. 在 **凭证与基础信息** 中获取 `App ID` 和 `App Secret`：
-
-
- 无需公网 IP，配置如下：
+
- ```json
- {
- "channel_type": "feishu",
- "feishu_app_id": "YOUR_APP_ID",
- "feishu_app_secret": "YOUR_APP_SECRET",
- "feishu_event_mode": "websocket"
- }
- ```
+2. 将以下配置加入项目根目录的 `config.json` 文件：
- 需安装依赖：`pip3 install lark-oapi`
-
-
- 需要公网 IP，配置如下：
+```json
+{
+ "channel_type": "feishu",
+ "feishu_app_id": "YOUR_APP_ID",
+ "feishu_app_secret": "YOUR_APP_SECRET",
+ "feishu_bot_name": "YOUR_BOT_NAME"
+}
+```
- ```json
- {
- "channel_type": "feishu",
- "feishu_app_id": "YOUR_APP_ID",
- "feishu_app_secret": "YOUR_APP_SECRET",
- "feishu_token": "VERIFICATION_TOKEN",
- "feishu_event_mode": "webhook",
- "feishu_port": 9891
- }
- ```
-
-
+| 参数 | 说明 |
+| --- | --- |
+| `feishu_app_id` | 飞书机器人应用 App ID |
+| `feishu_app_secret` | 飞书机器人 App Secret |
+| `feishu_bot_name` | 飞书机器人名称（创建应用时设置），群聊中使用依赖此配置 |
+
+配置完成后启动项目。
## 三、配置事件订阅
-1. 启动项目后，在飞书开放平台点击 **事件与回调**，选择 **长连接** 方式并保存
-2. 点击 **添加事件**，搜索 "接收消息"，选择 "接收消息v2.0"，确认添加
-3. 点击 **版本管理与发布**，创建版本并申请线上发布，审核通过后即可使用
+1. 成功运行项目后，在飞书开放平台点击 **事件与回调**，选择 **长连接** 方式，点击保存：
+
+
+
+2. 点击下方的 **添加事件**，搜索 "接收消息"，选择 "**接收消息v2.0**"，确认添加。
+
+3. 点击 **版本管理与发布**，创建版本并申请 **线上发布**，在飞书客户端查看审批消息并审核通过：
+
+
完成后在飞书中搜索机器人名称，即可开始对话。
diff --git a/docs/channels/web.mdx b/docs/channels/web.mdx
index b2237aa..5d1528a 100644
--- a/docs/channels/web.mdx
+++ b/docs/channels/web.mdx
@@ -1,9 +1,9 @@
---
-title: Web 网页
-description: 通过 Web 网页端使用 CowAgent
+title: Web 控制台
+description: 通过 Web 控制台使用 CowAgent
---
-Web 是 CowAgent 的默认通道，启动后会自动运行 Web 控制台，通过浏览器即可与 Agent 对话。
+Web 控制台是 CowAgent 的默认通道，启动后会自动运行，通过浏览器即可与 Agent 对话，并支持在线管理模型、技能、记忆、通道等配置。
## 配置
@@ -19,13 +19,57 @@ Web 是 CowAgent 的默认通道，启动后会自动运行 Web 控制台，通
| `channel_type` | 设为 `web` | `web` |
| `web_port` | Web 服务监听端口 | `9899` |
-## 使用
+## 访问地址
启动项目后访问：
-- 本地运行：`http://localhost:9899/chat`
-- 服务器运行：`http://:9899/chat`
+- 本地运行：`http://localhost:9899`
+- 服务器运行：`http://:9899`
请确保服务器防火墙和安全组已放行对应端口。
+
+## 功能介绍
+
+### 对话界面
+
+支持流式输出，可实时展示 Agent 的思考过程（Reasoning）和工具调用过程（Tool Calls），更直观地观察 Agent 的决策过程：
+
+
+
+### 模型管理
+
+支持在线管理模型配置，无需手动编辑配置文件：
+
+
+
+### 技能管理
+
+支持在线查看和管理 Agent 技能（Skills）：
+
+
+
+### 记忆管理
+
+支持在线查看和管理 Agent 记忆：
+
+
+
+### 通道管理
+
+支持在线管理接入通道，支持实时连接/断开操作：
+
+
+
+### 定时任务
+
+支持在线查看和管理定时任务，包括一次性任务、固定间隔、Cron 表达式等多种调度方式的可视化管理：
+
+
+
+### 日志
+
+支持在线实时查看 Agent 运行日志，便于监控运行状态和排查问题：
+
+
diff --git a/docs/channels/wechatmp.mdx b/docs/channels/wechatmp.mdx
index 69f6957..917df41 100644
--- a/docs/channels/wechatmp.mdx
+++ b/docs/channels/wechatmp.mdx
@@ -7,21 +7,22 @@ CowAgent 支持接入个人订阅号和企业服务号两种公众号类型。
| 类型 | 要求 | 特点 |
| --- | --- | --- |
-| **个人订阅号** | 个人可申请 | 回复生成后需用户主动发消息获取 |
+| **个人订阅号** | 个人可申请 | 收到消息时会回复一条提示，回复生成后需用户主动发消息获取 |
| **企业服务号** | 企业申请，需通过微信认证开通客服接口 | 回复生成后可主动推送给用户 |
- 公众号仅支持服务器和 Docker 部署，需额外安装扩展依赖：`pip3 install -r requirements-optional.txt`
+ 公众号仅支持服务器和 Docker 部署，不支持本地运行。需额外安装扩展依赖：`pip3 install -r requirements-optional.txt`
## 一、个人订阅号
-在 `config.json` 中配置：
+在 `config.json` 中添加以下配置：
```json
{
"channel_type": "wechatmp",
- "wechatmp_app_id": "YOUR_APP_ID",
+ "single_chat_prefix": [""],
+ "wechatmp_app_id": "wx73f9******d1e48",
"wechatmp_app_secret": "YOUR_APP_SECRET",
"wechatmp_aes_key": "",
"wechatmp_token": "YOUR_TOKEN",
@@ -31,22 +32,37 @@ CowAgent 支持接入个人订阅号和企业服务号两种公众号类型。
### 配置步骤
-1. 在 [微信公众平台](https://mp.weixin.qq.com/) 的 **设置与开发 → 基本配置 → 服务器配置** 中获取参数
-2. 启用开发者密码，将服务器 IP 加入白名单
-3. 启动程序（监听 80 端口）
-4. 在公众号后台 **启用服务器配置**，URL 格式为 `http://{HOST}/wx`
+这些配置需要和 [微信公众号后台](https://mp.weixin.qq.com/advanced/advanced?action=dev&t=advanced/dev) 中的保持一致，进入页面后，在左侧菜单选择 **设置与开发 → 基本配置 → 服务器配置**，按下图进行配置：
+
+
+
+1. 在公众平台启用开发者密码（对应配置 `wechatmp_app_secret`），并将服务器 IP 填入白名单
+2. 按上图填写 `config.json` 中与公众号相关的配置，要与公众号后台的配置一致
+3. 启动程序，启动后会监听 80 端口（若无权限监听，则在启动命令前加上 `sudo`；若 80 端口已被占用，则关闭该占用进程）
+4. 在公众号后台 **启用服务器配置** 并提交，保存成功则表示已成功配置。注意 **"服务器地址(URL)"** 需要配置为 `http://{HOST}/wx` 的格式，其中 `{HOST}` 可以是服务器的 IP 或域名
+
+随后关注公众号并发送消息即可看到以下效果：
+
+
+
+由于受订阅号限制，回复内容较短的情况下（15s 内），可以立即完成回复，但耗时较长的回复则会先回复一句 "正在思考中"，后续需要用户输入任意文字主动获取答案，而服务号则可以通过客服接口解决这一问题。
+
+
+ **语音识别**：可利用微信自带的语音识别功能，需要在公众号管理页面的 "设置与开发 → 接口权限" 页面开启 "接收语音识别结果"。
+
## 二、企业服务号
-与个人订阅号流程基本相同，差异如下：
+企业服务号与上述个人订阅号的接入过程基本相同，差异如下：
-1. 在公众平台申请企业服务号并完成微信认证，确认已获得 **客服接口** 权限
-2. 在 `config.json` 中设置 `"channel_type": "wechatmp_service"`
-3. 即使是较长耗时的回复，也可以主动推送给用户
+1. 在公众平台申请企业服务号并完成微信认证，在接口权限中确认已获得 **客服接口** 的权限
+2. 在 `config.json` 中设置 `"channel_type": "wechatmp_service"`，其他配置与上述订阅号相同
+3. 交互效果上，即使是较长耗时的回复，也可以主动推送给用户，无需用户手动获取
```json
{
"channel_type": "wechatmp_service",
+ "single_chat_prefix": [""],
"wechatmp_app_id": "YOUR_APP_ID",
"wechatmp_app_secret": "YOUR_APP_SECRET",
"wechatmp_aes_key": "",
diff --git a/docs/channels/wecom.mdx b/docs/channels/wecom.mdx
index efce119..d58afd7 100644
--- a/docs/channels/wecom.mdx
+++ b/docs/channels/wecom.mdx
@@ -19,17 +19,35 @@ description: 将 CowAgent 接入企业微信自建应用
## 二、创建企业微信应用
-1. 在 [企业微信管理后台](https://work.weixin.qq.com/wework_admin/frame#profile) **我的企业** 中获取 **企业ID**
-2. 切换到 **应用管理**，点击创建应用，记录 `AgentId` 和 `Secret`
-3. 点击 **设置API接收**，配置应用接口：
- - URL 格式为 `http://ip:port/wxcomapp`（认证企业需使用备案域名）
- - 随机获取 `Token` 和 `EncodingAESKey` 并保存
+1. 在 [企业微信管理后台](https://work.weixin.qq.com/wework_admin/frame#profile) 点击 **我的企业**，在最下方获取 **企业ID**（后续填写到 `wechatcom_corp_id` 字段中）。
+
+2. 切换到 **应用管理**，点击创建应用：
+
+
+
+3. 进入应用创建页面，记录 `AgentId` 和 `Secret`：
+
+
+
+4. 点击 **设置API接收**，配置应用接口：
+
+
+
+- URL 格式为 `http://ip:port/wxcomapp`（认证企业需使用备案域名）
+- 随机获取 `Token` 和 `EncodingAESKey` 并保存
+
+
+ 此时保存 API 接收配置会失败，因为程序还未启动，等项目运行后再回来保存。
+
## 三、配置和运行
+在 `config.json` 中添加以下配置（各参数与企业微信后台的对应关系见上方截图）：
+
```json
{
"channel_type": "wechatcom_app",
+ "single_chat_prefix": [""],
"wechatcom_corp_id": "YOUR_CORP_ID",
"wechatcomapp_token": "YOUR_TOKEN",
"wechatcomapp_secret": "YOUR_SECRET",
@@ -48,12 +66,25 @@ description: 将 CowAgent 接入企业微信自建应用
| `wechatcomapp_aes_key` | API 接收配置中的 EncodingAESKey |
| `wechatcomapp_port` | 监听端口，默认 9898 |
-启动程序后，回到企业微信后台保存 **消息服务器配置**，并将服务器 IP 添加到 **企业可信IP** 中。
+配置完成后启动程序。当后台日志显示 `http://0.0.0.0:9898/` 时说明程序运行成功，需要将该端口对外开放（如在云服务器安全组中放行）。
+
+程序启动后，回到企业微信后台保存 **消息服务器配置**，保存成功后还需将服务器 IP 添加到 **企业可信IP** 中，否则无法收发消息：
+
+
- 如遇到配置失败：1. 确保防火墙和安全组已放行端口；2. 检查各参数配置是否一致；3. 认证企业需配置备案域名。
+ 如遇到 URL 配置回调不通过或配置失败：
+ 1. 确保服务器防火墙关闭且安全组放行监听端口
+ 2. 仔细检查 Token、Secret Key 等参数配置是否一致，URL 格式是否正确
+ 3. 认证企业微信需要配置与主体一致的备案域名
## 四、使用
-在企业微信中搜索应用名称即可直接对话。如需让外部微信用户使用，可在 **我的企业 → 微信插件** 中分享邀请关注二维码。
+在企业微信中搜索刚创建的应用名称，即可直接对话：
+
+
+
+如需让外部个人微信用户使用，可在 **我的企业 → 微信插件** 中分享邀请关注二维码，个人微信扫码关注后即可与应用对话：
+
+
diff --git a/docs/docs.json b/docs/docs.json
index 47844b5..86a42e9 100644
--- a/docs/docs.json
+++ b/docs/docs.json
@@ -311,6 +311,7 @@
"group": "Release Notes",
"pages": [
"en/releases/overview",
+ "en/releases/v2.0.2",
"en/releases/v2.0.1",
"en/releases/v2.0.0"
]
diff --git a/docs/en/channels/dingtalk.mdx b/docs/en/channels/dingtalk.mdx
index b896469..1db5f53 100644
--- a/docs/en/channels/dingtalk.mdx
+++ b/docs/en/channels/dingtalk.mdx
@@ -7,15 +7,29 @@ Integrate CowAgent into DingTalk by creating an intelligent robot app on the Din
## 1. Create App
-1. Go to [DingTalk Developer Console](https://open-dev.dingtalk.com/fe/app#/corp/app), click **Create App**, fill in app information
-2. Click **Add App Capability**, select **Robot** capability and add
-3. Configure robot information and click **Publish**
+1. Go to [DingTalk Developer Console](https://open-dev.dingtalk.com/fe/app#/corp/app), log in and click **Create App**, fill in the app information:
+
+
+
+2. Click **Add App Capability**, select **Robot** capability and click **Add**:
+
+
+
+3. Configure the robot information and click **Publish**. After publishing, click "**Debug**" to automatically create a test group chat, which can be viewed in the client:
+
+
+
+4. Click **Version Management & Release**, create a new version and publish:
+
+
## 2. Project Configuration
-1. Get `Client ID` and `Client Secret` from **Credentials & Basic Info**
+1. Click **Credentials & Basic Info**, get the `Client ID` and `Client Secret`:
-2. Fill in `config.json`:
+
+
+2. Add the following configuration to `config.json` in the project root:
```json
{
@@ -25,14 +39,20 @@ Integrate CowAgent into DingTalk by creating an intelligent robot app on the Din
}
```
-3. Install dependency:
+3. Install the dependency:
```bash
pip3 install dingtalk_stream
```
-4. After starting the project, go to DingTalk Developer Console **Event Subscription**, click **Connection verified, verify channel**. When "Connection successful" is displayed, configuration is complete
+
+
+4. After starting the project, go to the DingTalk Developer Console, click **Event Subscription**, then click **Connection verified, verify channel**. When "**Connection successful**" is displayed, the configuration is complete:
+
+
## 3. Usage
-Chat privately with the robot or add it to an enterprise group to start a conversation.
+Chat privately with the robot or add it to an enterprise group to start a conversation:
+
+
diff --git a/docs/en/channels/feishu.mdx b/docs/en/channels/feishu.mdx
index 7a74274..de90da0 100644
--- a/docs/en/channels/feishu.mdx
+++ b/docs/en/channels/feishu.mdx
@@ -3,65 +3,67 @@ title: Feishu (Lark)
description: Integrate CowAgent into Feishu application
---
-Integrate CowAgent into Feishu by creating a custom app. Supports WebSocket (recommended, no public IP required) and Webhook event receiving modes.
+Integrate CowAgent into Feishu by creating a custom enterprise app. You need to be a Feishu enterprise user with admin privileges.
## 1. Create Enterprise Custom App
### 1.1 Create App
-Go to [Feishu Developer Platform](https://open.feishu.cn/app/), click **Create Enterprise Custom App**, fill in the required information and create.
+Go to [Feishu Developer Platform](https://open.feishu.cn/app/), click **Create Enterprise Custom App**, fill in the required information and click **Create**:
+
+
### 1.2 Add Bot Capability
-In **Add App Capabilities**, add **Bot** capability to the app.
+In **Add App Capabilities**, add **Bot** capability to the app:
+
+
### 1.3 Configure App Permissions
-Click **Permission Management**, paste the following permission string, select all and enable in batch:
+Click **Permission Management**, paste the following permission string into the input box below **Permission Configuration**, select all filtered permissions, click **Batch Enable** and confirm:
```
im:message,im:message.group_at_msg,im:message.group_at_msg:readonly,im:message.p2p_msg,im:message.p2p_msg:readonly,im:message:send_as_bot,im:resource
```
+
+
## 2. Project Configuration
-Get `App ID` and `App Secret` from **Credentials & Basic Info**, then fill in `config.json`:
+1. Get `App ID` and `App Secret` from **Credentials & Basic Info**:
-
-
- No public IP required. Configuration:
+
- ```json
- {
- "channel_type": "feishu",
- "feishu_app_id": "YOUR_APP_ID",
- "feishu_app_secret": "YOUR_APP_SECRET",
- "feishu_event_mode": "websocket"
- }
- ```
+2. Add the following configuration to `config.json` in the project root:
- Install dependency: `pip3 install lark-oapi`
-
-
- Requires public IP. Configuration:
+```json
+{
+ "channel_type": "feishu",
+ "feishu_app_id": "YOUR_APP_ID",
+ "feishu_app_secret": "YOUR_APP_SECRET",
+ "feishu_bot_name": "YOUR_BOT_NAME"
+}
+```
- ```json
- {
- "channel_type": "feishu",
- "feishu_app_id": "YOUR_APP_ID",
- "feishu_app_secret": "YOUR_APP_SECRET",
- "feishu_token": "VERIFICATION_TOKEN",
- "feishu_event_mode": "webhook",
- "feishu_port": 9891
- }
- ```
-
-
+| Parameter | Description |
+| --- | --- |
+| `feishu_app_id` | Feishu bot App ID |
+| `feishu_app_secret` | Feishu bot App Secret |
+| `feishu_bot_name` | Bot name (set when creating the app), required for group chat usage |
+
+Start the project after configuration is complete.
## 3. Configure Event Subscription
-1. After starting the project, go to Feishu Developer Platform **Events & Callbacks**, select **Long Connection** and save
-2. Click **Add Event**, search for "Receive Message", select "Receive Message v2.0", confirm and add
-3. Click **Version Management & Release**, create a version and apply for production release. After approval, you can use it
+1. After the project is running successfully, go to the Feishu Developer Platform, click **Events & Callbacks**, select **Long Connection** mode, and click save:
-Search for the bot name in Feishu to start chatting.
+
+
+2. Click **Add Event** below, search for "Receive Message", select "**Receive Message v2.0**", and confirm.
+
+3. Click **Version Management & Release**, create a new version and apply for **Production Release**. Check the approval message in the Feishu client and approve:
+
+
+
+Once completed, search for the bot name in Feishu to start chatting.
diff --git a/docs/en/channels/web.mdx b/docs/en/channels/web.mdx
index d8be926..845b219 100644
--- a/docs/en/channels/web.mdx
+++ b/docs/en/channels/web.mdx
@@ -1,9 +1,9 @@
---
-title: Web
-description: Use CowAgent through the web interface
+title: Web Console
+description: Use CowAgent through the web console
---
-Web is CowAgent's default channel. The web console starts automatically after launch, allowing you to chat with the Agent through a browser.
+The Web Console is CowAgent's default channel. It starts automatically after launch, allowing you to chat with the Agent through a browser and manage models, skills, memory, channels, and other configurations online.
## Configuration
@@ -19,13 +19,57 @@ Web is CowAgent's default channel. The web console starts automatically after la
| `channel_type` | Set to `web` | `web` |
| `web_port` | Web service listen port | `9899` |
-## Usage
+## Access URL
After starting the project, visit:
-- Local: `http://localhost:9899/chat`
-- Server: `http://:9899/chat`
+- Local: `http://localhost:9899`
+- Server: `http://:9899`
Ensure the server firewall and security group allow the corresponding port.
+
+## Features
+
+### Chat Interface
+
+Supports streaming output with real-time display of the Agent's reasoning process and tool calls, providing intuitive observation of the Agent's decision-making:
+
+
+
+### Model Management
+
+Manage model configurations online without manually editing config files:
+
+
+
+### Skill Management
+
+View and manage Agent skills (Skills) online:
+
+
+
+### Memory Management
+
+View and manage Agent memory online:
+
+
+
+### Channel Management
+
+Manage connected channels online with real-time connect/disconnect operations:
+
+
+
+### Scheduled Tasks
+
+View and manage scheduled tasks online, including one-time tasks, fixed intervals, and Cron expressions:
+
+
+
+### Logs
+
+View Agent runtime logs in real-time for monitoring and troubleshooting:
+
+
diff --git a/docs/en/channels/wechatmp.mdx b/docs/en/channels/wechatmp.mdx
index 1de9c8a..3c6c2c8 100644
--- a/docs/en/channels/wechatmp.mdx
+++ b/docs/en/channels/wechatmp.mdx
@@ -7,19 +7,22 @@ CowAgent supports both personal subscription accounts and enterprise service acc
| Type | Requirements | Features |
| --- | --- | --- |
-| **Personal Subscription** | Available to individuals | Users must send a message to retrieve replies |
+| **Personal Subscription** | Available to individuals | Sends a placeholder reply first; users must send a message to retrieve the full response |
| **Enterprise Service** | Enterprise with verified customer service API | Can proactively push replies to users |
- Official Accounts only support server and Docker deployment. Install extended dependencies: `pip3 install -r requirements-optional.txt`
+ Official Accounts only support server and Docker deployment, not local run mode. Install extended dependencies: `pip3 install -r requirements-optional.txt`
-## Personal Subscription Account
+## 1. Personal Subscription Account
+
+Add the following configuration to `config.json`:
```json
{
"channel_type": "wechatmp",
- "wechatmp_app_id": "YOUR_APP_ID",
+ "single_chat_prefix": [""],
+ "wechatmp_app_id": "wx73f9******d1e48",
"wechatmp_app_secret": "YOUR_APP_SECRET",
"wechatmp_aes_key": "",
"wechatmp_token": "YOUR_TOKEN",
@@ -29,22 +32,37 @@ CowAgent supports both personal subscription accounts and enterprise service acc
### Setup Steps
-1. Get parameters from [WeChat Official Account Platform](https://mp.weixin.qq.com/) under **Settings & Development → Basic Configuration → Server Configuration**
-2. Enable developer secret and add server IP to the whitelist
-3. Start the program (listens on port 80)
-4. Enable server configuration with URL format `http://{HOST}/wx`
+These configurations must be consistent with the [WeChat Official Account Platform](https://mp.weixin.qq.com/advanced/advanced?action=dev&t=advanced/dev). Navigate to **Settings & Development → Basic Configuration → Server Configuration** and configure as shown below:
-## Enterprise Service Account
+
-Same setup with these differences:
+1. Enable the developer secret on the platform (corresponds to `wechatmp_app_secret`), and add the server IP to the whitelist
+2. Fill in the `config.json` with the official account parameters matching the platform configuration
+3. Start the program, which listens on port 80 (use `sudo` if you don't have permission; stop any process occupying port 80)
+4. **Enable server configuration** on the official account platform and submit. A successful save means the configuration is complete. Note that the **"Server URL"** must be in the format `http://{HOST}/wx`, where `{HOST}` can be the server IP or domain
-1. Register an enterprise service account with verified **Customer Service API** permission
-2. Set `"channel_type": "wechatmp_service"` in `config.json`
-3. Replies can be proactively pushed to users
+After following the account and sending a message, you should see the following result:
+
+
+
+Due to subscription account limitations, short replies (within 15s) can be returned immediately, but longer replies will first send a "Thinking..." placeholder, requiring users to send any text to retrieve the answer. Enterprise service accounts can solve this with the customer service API.
+
+
+ **Voice Recognition**: You can use WeChat's built-in voice recognition. Enable "Receive Voice Recognition Results" under "Settings & Development → API Permissions" on the official account management page.
+
+
+## 2. Enterprise Service Account
+
+The setup process for enterprise service accounts is essentially the same as personal subscription accounts, with the following differences:
+
+1. Register an enterprise service account on the platform and complete WeChat certification. Confirm that the **Customer Service API** permission has been granted
+2. Set `"channel_type": "wechatmp_service"` in `config.json`; other configurations remain the same
+3. Even for longer replies, they can be proactively pushed to users without requiring manual retrieval
```json
{
"channel_type": "wechatmp_service",
+ "single_chat_prefix": [""],
"wechatmp_app_id": "YOUR_APP_ID",
"wechatmp_app_secret": "YOUR_APP_SECRET",
"wechatmp_aes_key": "",
diff --git a/docs/en/channels/wecom.mdx b/docs/en/channels/wecom.mdx
index 1960839..7b07cd0 100644
--- a/docs/en/channels/wecom.mdx
+++ b/docs/en/channels/wecom.mdx
@@ -13,23 +13,41 @@ Integrate CowAgent into WeCom through a custom enterprise app, supporting one-on
Required resources:
-1. A server with public IP
-2. A registered WeCom account (individual registration is possible, but cannot be certified)
-3. Certified WeCom requires a domain with corresponding entity filing
+1. A server with public IP (overseas server, or domestic server with a proxy for international API access)
+2. A registered WeCom account (individual registration is possible but cannot be certified)
+3. Certified WeCom accounts additionally require a domain filed under the corresponding entity
## 2. Create WeCom App
-1. Get **Corp ID** from **My Enterprise** in [WeCom Admin Console](https://work.weixin.qq.com/wework_admin/frame#profile)
-2. Switch to **Application Management**, click Create Application, record `AgentId` and `Secret`
-3. Click **Set API Reception**, configure application interface:
- - URL format: `http://ip:port/wxcomapp` (certified enterprises must use filed domain)
- - Generate random `Token` and `EncodingAESKey` and save
+1. In the [WeCom Admin Console](https://work.weixin.qq.com/wework_admin/frame#profile), click **My Enterprise** and find the **Corp ID** at the bottom of the page. Save this ID for the `wechatcom_corp_id` configuration field.
+
+2. Switch to **Application Management** and click Create Application:
+
+
+
+3. On the application creation page, record the `AgentId` and `Secret`:
+
+
+
+4. Click **Set API Reception** to configure the application interface:
+
+
+
+- URL format: `http://ip:port/wxcomapp` (certified enterprises must use a filed domain)
+- Generate random `Token` and `EncodingAESKey` and save them for the configuration file
+
+
+ The API reception configuration cannot be saved at this point because the program hasn't started yet. Come back to save it after the project is running.
+
## 3. Configuration and Run
+Add the following configuration to `config.json` (the mapping between each parameter and the WeCom console is shown in the screenshots above):
+
```json
{
"channel_type": "wechatcom_app",
+ "single_chat_prefix": [""],
"wechatcom_corp_id": "YOUR_CORP_ID",
"wechatcomapp_token": "YOUR_TOKEN",
"wechatcomapp_secret": "YOUR_SECRET",
@@ -48,12 +66,25 @@ Required resources:
| `wechatcomapp_aes_key` | EncodingAESKey from API reception config |
| `wechatcomapp_port` | Listen port, default 9898 |
-After starting the program, return to WeCom Admin Console to save **Message Server Configuration**, and add the server IP to **Enterprise Trusted IPs**.
+After configuration, start the program. When the log shows `http://0.0.0.0:9898/`, the program is running successfully. You need to open this port externally (e.g., allow it in the cloud server security group).
+
+After the program starts, return to the WeCom Admin Console to save the **Message Server Configuration**. After saving successfully, you also need to add the server IP to **Enterprise Trusted IPs**, otherwise messages cannot be sent or received:
+
+
- If configuration fails: 1. Ensure firewall and security group allow the port; 2. Verify all parameters are consistent; 3. Certified enterprises must configure a filed domain.
+ If the URL configuration callback fails or the configuration is unsuccessful:
+ 1. Ensure the server firewall is disabled and the security group allows the listening port
+ 2. Carefully check that Token, Secret Key and other parameter configurations are consistent, and that the URL format is correct
+ 3. Certified WeCom accounts must configure a filed domain matching the entity
## 4. Usage
-Search for the app name in WeCom to start chatting. To allow external WeChat users, share the invite QR code from **My Enterprise → WeChat Plugin**.
+Search for the app name you just created in WeCom to start chatting directly. You can run multiple instances listening on different ports to create multiple WeCom apps:
+
+
+
+To allow external personal WeChat users to use the app, go to **My Enterprise → WeChat Plugin**, share the invite QR code. After scanning and following, personal WeChat users can join and chat with the app:
+
+
diff --git a/docs/en/releases/overview.mdx b/docs/en/releases/overview.mdx
index 8d6019c..38445fd 100644
--- a/docs/en/releases/overview.mdx
+++ b/docs/en/releases/overview.mdx
@@ -5,6 +5,7 @@ description: CowAgent version history
| Version | Date | Description |
| --- | --- | --- |
+| [2.0.2](/en/releases/v2.0.2) | 2026.02.27 | Web Console upgrade, multi-channel concurrency, session persistence |
| [2.0.1](/en/releases/v2.0.1) | 2026.02.27 | Built-in Web Search tool, smart context management, multiple fixes |
| [2.0.0](/en/releases/v2.0.0) | 2026.02.03 | Full upgrade to AI super assistant |
| 1.7.6 | 2025.05.23 | Web Channel optimization, AgentMesh plugin |
diff --git a/docs/en/releases/v2.0.2.mdx b/docs/en/releases/v2.0.2.mdx
new file mode 100644
index 0000000..b833adf
--- /dev/null
+++ b/docs/en/releases/v2.0.2.mdx
@@ -0,0 +1,98 @@
+---
+title: v2.0.2
+description: CowAgent 2.0.2 - Web Console upgrade, multi-channel concurrency, session persistence
+---
+
+**Release Date**: 2026.02.27 | [Full Changelog](https://github.com/zhayujie/chatgpt-on-wechat/compare/2.0.1...master)
+
+## Highlights
+
+### 🖥️ Web Console Upgrade
+
+The Web Console has been fully upgraded with streaming conversation output, visual display of tool execution and reasoning processes, and online management of **models, skills, memory, channels, and Agent configuration**.
+
+#### Chat Interface
+
+Supports streaming output with real-time display of the Agent's reasoning process and tool calls, providing intuitive observation of the Agent's decision-making:
+
+
+
+#### Model Management
+
+Manage model configurations online without manually editing config files:
+
+
+
+#### Skill Management
+
+View and manage Agent skills (Skills) online:
+
+
+
+#### Memory Management
+
+View and manage Agent memory online:
+
+
+
+#### Channel Management
+
+Manage connected channels online with real-time connect/disconnect operations:
+
+
+
+#### Scheduled Tasks
+
+View and manage scheduled tasks online, including one-time tasks, fixed intervals, and Cron expressions:
+
+
+
+#### Logs
+
+View Agent runtime logs in real-time for monitoring and troubleshooting:
+
+
+
+Related commits: [f1a1413](https://github.com/zhayujie/chatgpt-on-wechat/commit/f1a1413), [c0702c8](https://github.com/zhayujie/chatgpt-on-wechat/commit/c0702c8), [394853c](https://github.com/zhayujie/chatgpt-on-wechat/commit/394853c), [1c71c4e](https://github.com/zhayujie/chatgpt-on-wechat/commit/1c71c4e), [5e3eccb](https://github.com/zhayujie/chatgpt-on-wechat/commit/5e3eccb), [e1dc037](https://github.com/zhayujie/chatgpt-on-wechat/commit/e1dc037), [5edbf4c](https://github.com/zhayujie/chatgpt-on-wechat/commit/5edbf4c), [7d258b5](https://github.com/zhayujie/chatgpt-on-wechat/commit/7d258b5)
+
+### 🔀 Multi-Channel Concurrency
+
+Multiple channels (e.g., Feishu, DingTalk, WeCom, Web) can now run simultaneously, each in an independent thread without interference.
+
+Configuration: Set multiple channels in `config.json` via `channel_type` separated by commas, or connect/disconnect channels in real-time from the Web Console's channel management page.
+
+```json
+{
+ "channel_type": "web,feishu,dingtalk"
+}
+```
+
+Related commits: [4694594](https://github.com/zhayujie/chatgpt-on-wechat/commit/4694594), [7cce224](https://github.com/zhayujie/chatgpt-on-wechat/commit/7cce224), [7d258b5](https://github.com/zhayujie/chatgpt-on-wechat/commit/7d258b5), [c9adddb](https://github.com/zhayujie/chatgpt-on-wechat/commit/c9adddb)
+
+### 💾 Session Persistence
+
+Session history is now persisted to a local SQLite database. Conversation context is automatically restored after service restarts. Historical conversations in the Web Console are also restored.
+
+Related commits: [29bfbec](https://github.com/zhayujie/chatgpt-on-wechat/commit/29bfbec), [9917552](https://github.com/zhayujie/chatgpt-on-wechat/commit/9917552), [925d728](https://github.com/zhayujie/chatgpt-on-wechat/commit/925d728)
+
+## New Models
+
+- **Gemini 3.1 Pro Preview**: Added `gemini-3.1-pro-preview` model support ([52d7cad](https://github.com/zhayujie/chatgpt-on-wechat/commit/52d7cad))
+- **Claude 4.6 Sonnet**: Added `claude-4.6-sonnet` model support ([52d7cad](https://github.com/zhayujie/chatgpt-on-wechat/commit/52d7cad))
+- **Qwen3.5 Plus**: Added `qwen3.5-plus` model support ([e59a289](https://github.com/zhayujie/chatgpt-on-wechat/commit/e59a289))
+- **MiniMax M2.5**: Added `Minimax-M2.5` model support ([48db538](https://github.com/zhayujie/chatgpt-on-wechat/commit/48db538))
+- **GLM-5**: Added `glm-5` model support ([48db538](https://github.com/zhayujie/chatgpt-on-wechat/commit/48db538))
+- **Kimi K2.5**: Added `kimi-k2.5` model support ([48db538](https://github.com/zhayujie/chatgpt-on-wechat/commit/48db538))
+- **Doubao 2.0 Code**: Added `doubao-2.0-code` coding-specialized model ([ab28ee5](https://github.com/zhayujie/chatgpt-on-wechat/commit/ab28ee5))
+- **DashScope Models**: Added Alibaba Cloud DashScope model name support ([ce58f23](https://github.com/zhayujie/chatgpt-on-wechat/commit/ce58f23))
+
+## Website & Documentation
+
+- **Official Website**: [cowagent.ai](https://cowagent.ai/)
+- **Documentation**: [docs.cowagent.ai](https://docs.cowagent.ai/)
+
+## Bug Fixes
+
+- **Gemini DingTalk image recognition**: Fixed Gemini unable to process image markers in DingTalk channel ([05a3304](https://github.com/zhayujie/chatgpt-on-wechat/commit/05a3304)) ([#2670](https://github.com/zhayujie/chatgpt-on-wechat/pull/2670)) Thanks [@SgtPepper114](https://github.com/SgtPepper114)
+- **Startup script dependencies**: Fixed dependency installation issue in `run.sh` script ([b6fc9fa](https://github.com/zhayujie/chatgpt-on-wechat/commit/b6fc9fa))
+- **Bare except cleanup**: Replaced `bare except` with `except Exception` for better exception handling ([adca89b](https://github.com/zhayujie/chatgpt-on-wechat/commit/adca89b)) ([#2674](https://github.com/zhayujie/chatgpt-on-wechat/pull/2674)) Thanks [@haosenwang1018](https://github.com/haosenwang1018)
diff --git a/docs/guide/manual-install.mdx b/docs/guide/manual-install.mdx
index 51bb15c..311bbe2 100644
--- a/docs/guide/manual-install.mdx
+++ b/docs/guide/manual-install.mdx
@@ -48,7 +48,7 @@ cp config-template.json config.json
python3 app.py
```
-运行后默认启动 Web 服务，访问 `http://localhost:9899/chat` 开始对话。
+运行后默认启动 Web 控制台，访问 `http://localhost:9899` 开始对话和管理Agent。
**服务器后台运行：**
diff --git a/docs/guide/quick-start.mdx b/docs/guide/quick-start.mdx
index f9529d1..2143941 100644
--- a/docs/guide/quick-start.mdx
+++ b/docs/guide/quick-start.mdx
@@ -22,7 +22,7 @@ bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
5. 引导配置 AI 模型和通信渠道
6. 启动服务
-运行后默认启动 Web 服务，访问 `http://localhost:9899/chat` 开始对话。
+运行后默认启动 Web 控制台，访问 `http://localhost:9899` 开始对话和管理Agent。
## 管理命令