feat: 添加飞书机器人集成 (#13)
* feat: add Feishu bot integration - Add fsapp.py: Feishu bot webhook handler (root directory) - Add assets/SETUP_FEISHU.md: Setup guide for Feishu integration - Add assets/install_python_windows.bat: Windows Python installer script * fix: 历史注入仅在飞书场景生效，避免混入本地CLI历史 * fix: fsapp调用put_task时传source='feishu'以触发历史注入 --------- Co-authored-by: 张洲嘉 <zhangzhoujia@zhangzhoujiadeMacBook-Air.local>
This commit is contained in:
AspasZhang
@@ -102,7 +102,12 @@ class GeneraticAgent:
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handler.key_info += '\n[SYSTEM] 若开始新任务，先更新或清除工作记忆\n'
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self.handler = handler
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self.llmclient.backend = self.llmclient.backends[self.llm_no]
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gen = agent_runner_loop(self.llmclient, sys_prompt, raw_query,
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# 如果有历史记录且来自飞书，注入到首轮 user_input 中（支持/restore恢复上下文）
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user_input = raw_query
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if source == 'feishu' and len(self.history) > 1: # 飞书场景且有之前的对话记录
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h_str = "\n".join(self.history[-20:])
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user_input = f"### [WORKING MEMORY]\n<history>\n{h_str}\n</history>\n\n### 用户当前消息\n{raw_query}"
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gen = agent_runner_loop(self.llmclient, sys_prompt, user_input,
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handler, TOOLS_SCHEMA, max_turns=40, verbose=self.verbose)
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try:
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full_resp = ""; last_pos = 0
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301
assets/SETUP_FEISHU.md
Normal file
301
assets/SETUP_FEISHU.md
Normal file
@@ -0,0 +1,301 @@
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# 飞书 Agent 配置指南
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> 让你的个人电脑变成飞书机器人的大脑，随时随地通过飞书对话控制你的电脑。
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---
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## 📋 目录
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1. [前置条件](#前置条件)
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2. [方案选择](#方案选择)
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3. [企业用户配置](#企业用户配置)
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4. [个人用户配置](#个人用户配置)
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5. [项目配置](#项目配置)
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6. [运行与测试](#运行与测试)
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7. [常见问题](#常见问题)
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---
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## 前置条件
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### 必需环境
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- Python 3.8+
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- 本项目完整代码
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- LLM API 密钥（Claude/OpenAI 等，已在 `sidercall/mykeys` 中配置）
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### 安装依赖
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```bash
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pip install lark-oapi
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```
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---
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## 方案选择
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| 你的情况 | 推荐方案 | 预计耗时 |
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| ------------------ | -------------------------- | --------- |
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| 公司已有飞书企业版 | [企业用户配置](#企业用户配置) | 5-10分钟 |
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| 个人用户/学习测试 | [个人用户配置](#个人用户配置) | 10-15分钟 |
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---
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## 企业用户配置
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> 适用于：你的公司使用飞书，你有权限创建应用或联系管理员审批
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### 步骤 1：创建应用
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1. 访问 [飞书开放平台](https://open.feishu.cn/)
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2. 登录你的企业飞书账号
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3. 点击右上角「创建应用」→「企业自建应用」
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4. 填写应用信息：
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- 应用名称：`我的Agent助手`（可自定义）
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- 应用描述：`个人AI助手`
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- 应用图标：可选
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### 步骤 2：添加机器人能力
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1. 进入应用详情页
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2. 左侧菜单选择「添加应用能力」
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3. 找到「机器人」，点击「添加」
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4. 配置机器人信息（可保持默认）
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### 步骤 3：配置权限
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1. 左侧菜单「权限管理」→「API 权限」
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2. 搜索并开通以下权限：
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- `im:message` - 获取与发送单聊、群组消息
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- `im:message:send_as_bot` - 以应用身份发送消息
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- `contact:user.id:readonly` - 获取用户 ID
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### 步骤 4：获取凭证
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1. 左侧菜单「凭证与基础信息」
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2. 记录以下信息：
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- **App ID**：`cli_xxxxxxxx`
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- **App Secret**：`xxxxxxxxxxxxxxxx`
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### 步骤 5：发布应用
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1. 左侧菜单「版本管理与发布」
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2. 点击「创建版本」
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3. 填写版本信息，提交审核
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4. **联系企业管理员审批**（或自己是管理员直接审批）
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### 步骤 6：获取你的 Open ID
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1. 应用审批通过后，在飞书中搜索你的机器人
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2. 给机器人发送任意消息
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3. 运行以下代码获取你的 Open ID：
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```python
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# 临时运行一次，获取 open_id
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import lark_oapi as lark
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from lark_oapi.api.im.v1 import *
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client = lark.Client.builder().app_id("你的APP_ID").app_secret("你的APP_SECRET").build()
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# 监听消息，打印发送者的 open_id
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def handle(data):
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print(f"你的 Open ID: {data.event.sender.sender_id.open_id}")
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# ... 或者查看 fsapp.py 运行时的日志输出
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```
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---
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## 个人用户配置
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> 适用于：没有企业飞书账号，想个人测试使用
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### 步骤 1：创建测试企业
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1. 访问 [飞书开放平台](https://open.feishu.cn/)
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2. 使用个人手机号注册/登录
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3. 点击右上角头像 →「创建测试企业」
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4. 填写企业名称（如：`我的测试工作区`）
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5. 创建完成后，你就是这个测试企业的**管理员**
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### 步骤 2：创建应用
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> 与企业用户步骤相同
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1. 点击「创建应用」→「企业自建应用」
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2. 填写应用信息
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### 步骤 3：添加机器人能力
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1. 进入应用详情页
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2. 「添加应用能力」→「机器人」→「添加」
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### 步骤 4：配置权限
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1. 「权限管理」→「API 权限」
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2. 开通权限：
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- `im:message`
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- `im:message:send_as_bot`
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- `contact:user.id:readonly`
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### 步骤 5：获取凭证
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1. 「凭证与基础信息」
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2. 复制 **App ID** 和 **App Secret**
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### 步骤 6：发布应用（测试企业可自审批）
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1. 「版本管理与发布」→「创建版本」
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2. 提交后，进入 [飞书管理后台](https://feishu.cn/admin)
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3. 「工作台」→「应用审核」→ 通过你的应用
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### 步骤 7：在飞书客户端使用
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1. 下载 [飞书客户端](https://www.feishu.cn/download)
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2. 登录你的测试企业账号
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3. 搜索你创建的机器人名称
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4. 开始对话！
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---
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## 项目配置
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### 配置飞书凭证
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编辑项目根目录的 `mykey.py`，添加：
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```python
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# 飞书应用凭证
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fs_app_id = "cli_xxxxxxxxxxxxxxxx" # 替换为你的 App ID
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fs_app_secret = "xxxxxxxxxxxxxxxx" # 替换为你的 App Secret
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# 允许使用的用户 Open ID 列表（可选，留空则允许所有人）
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fs_allowed_users = [
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"ou_xxxxxxxxxxxxxxxxxxxxxxxx", # 你的 Open ID
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]
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```
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### 确认 LLM 配置
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确保 `sidercall/mykeys` 中已配置 LLM API 密钥：
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```python
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# 示例：Claude API
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claude_config = {
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'apikey': 'sk-ant-xxxxx',
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'apibase': 'https://api.anthropic.com',
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'model': 'claude-sonnet-4-20250514'
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}
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```
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---
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## 运行与测试
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### 启动服务
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```bash
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cd /path/to/pc-agent-loop
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python fsapp.py
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```
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### 预期输出
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```
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==================================================
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飞书 Agent 已启动（长连接模式）
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App ID: cli_xxxxxxxxxxxxxxxx
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等待消息...
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==================================================
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```
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### 测试对话
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1. 打开飞书客户端
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2. 找到你的机器人
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3. 发送：`你好`
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4. 等待回复（首次可能需要几秒）
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---
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## 可用命令
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在与机器人对话时，可以使用以下特殊命令：
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| 命令 | 说明 |
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| ---- | ---- |
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| `/new` | 开始新对话，清除当前上下文 |
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| `/stop` | 中止当前正在执行的任务 |
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| `/restore <关键词>` | 恢复之前的对话上下文（根据关键词搜索历史记录） |
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### 命令示例
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|
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```
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/new # 清空对话，重新开始
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/stop # 停止正在运行的任务
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/restore 昨天的任务 # 恢复包含"昨天的任务"关键词的历史对话
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```
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### 消息显示说明
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- ⏳ 表示任务正在执行中
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- 消息会实时更新，无需等待完成
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- 超长回复会自动分段发送
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---
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## 常见问题
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### Q: 提示「应用未发布」或「无权限」
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**A:** 确保应用已发布且管理员已审批。测试企业用户需要在管理后台手动审批。
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### Q: 发送消息后没有回复
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**A:** 检查：
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1. `fsapp.py` 是否在运行
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2. 终端是否有错误日志
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3. LLM API 密钥是否配置正确
|
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|
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### Q: 提示「invalid app_id」
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|
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**A:** 检查 `mykey.py` 中的 `fs_app_id` 是否正确复制（包含 `cli_` 前缀）
|
||||
|
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### Q: 如何获取自己的 Open ID？
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||||
|
||||
**A:** 运行 `fsapp.py` 后给机器人发消息，查看终端日志中的 `open_id`
|
||||
|
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### Q: 能否多人同时使用？
|
||||
|
||||
**A:** 不能。一个应用只能有一个长连接，连接到一台电脑。每个人需要创建自己的应用。
|
||||
|
||||
---
|
||||
|
||||
## 架构说明
|
||||
|
||||
```
|
||||
你的飞书 ←→ 飞书云 ←→ 长连接 ←→ fsapp.py ←→ Agent ←→ 你的电脑
|
||||
↑
|
||||
运行在你电脑上
|
||||
```
|
||||
|
||||
- 消息通过飞书云转发到你电脑上运行的 `fsapp.py`
|
||||
- Agent 处理请求后，通过飞书 API 回复消息
|
||||
- **你的电脑必须保持运行** `fsapp.py` 才能响应消息
|
||||
|
||||
---
|
||||
|
||||
## 下一步
|
||||
|
||||
- 自定义 Agent 行为：编辑 `assets/sys_prompt.txt`
|
||||
- 添加新工具：编辑 `assets/tools_schema.json`
|
||||
- 查看日志：运行时观察终端输出
|
||||
|
||||
---
|
||||
|
||||
*文档版本：v1.1 | 更新日期：2026-03-07*
|
||||
|
||||
**v1.1 更新内容：**
|
||||
- 新增「可用命令」章节（/new, /stop, /restore）
|
||||
- 新增消息显示说明（⏳ 进行中标记、实时更新等）
|
||||
111
assets/install_python_windows.bat
Normal file
111
assets/install_python_windows.bat
Normal file
@@ -0,0 +1,111 @@
|
||||
@echo off
|
||||
setlocal enabledelayedexpansion
|
||||
title Python One-Click Installer
|
||||
color 0A
|
||||
|
||||
echo.
|
||||
echo ========================================
|
||||
echo Python One-Click Installer (Windows)
|
||||
echo ========================================
|
||||
echo.
|
||||
|
||||
net session >nul 2>&1
|
||||
if %errorlevel% neq 0 (
|
||||
echo [!] Administrator privileges required. Restarting with elevation...
|
||||
powershell -Command "Start-Process '%~f0' -Verb RunAs"
|
||||
exit /b
|
||||
)
|
||||
|
||||
echo [OK] Administrator privileges confirmed
|
||||
echo.
|
||||
|
||||
python --version >nul 2>&1
|
||||
if %errorlevel% equ 0 (
|
||||
echo [OK] Python already installed:
|
||||
python --version
|
||||
echo.
|
||||
choice /C YN /M "Install latest version anyway? (Y=Yes / N=Exit)"
|
||||
if errorlevel 2 goto :end
|
||||
)
|
||||
|
||||
set PYTHON_VERSION=3.12.9
|
||||
set MIRROR_URL=https://npmmirror.com/mirrors/python/3.12.9/python-3.12.9-amd64.exe
|
||||
set OFFICIAL_URL=https://www.python.org/ftp/python/3.12.9/python-3.12.9-amd64.exe
|
||||
set INSTALLER=%TEMP%\python_installer.exe
|
||||
|
||||
echo [*] Preparing to download Python %PYTHON_VERSION%
|
||||
echo [*] Trying mirror source first...
|
||||
echo.
|
||||
|
||||
powershell -NoProfile -Command "[Net.ServicePointManager]::SecurityProtocol=[Net.SecurityProtocolType]::Tls12; $ProgressPreference='SilentlyContinue'; Invoke-WebRequest -Uri '%MIRROR_URL%' -OutFile '%INSTALLER%' -UseBasicParsing"
|
||||
|
||||
if not exist "%INSTALLER%" goto :official
|
||||
for %%A in ("%INSTALLER%") do if %%~zA lss 1000000 goto :official
|
||||
echo [OK] Mirror download complete
|
||||
goto :install
|
||||
|
||||
:official
|
||||
echo [!] Mirror failed, switching to official source...
|
||||
powershell -NoProfile -Command "[Net.ServicePointManager]::SecurityProtocol=[Net.SecurityProtocolType]::Tls12; $ProgressPreference='SilentlyContinue'; Invoke-WebRequest -Uri '%OFFICIAL_URL%' -OutFile '%INSTALLER%' -UseBasicParsing"
|
||||
|
||||
if not exist "%INSTALLER%" (
|
||||
echo [x] Download failed. Please check your network connection and retry.
|
||||
pause
|
||||
goto :end
|
||||
)
|
||||
for %%A in ("%INSTALLER%") do if %%~zA lss 1000000 (
|
||||
echo [x] Downloaded file is incomplete. Please check your network and retry.
|
||||
pause
|
||||
goto :end
|
||||
)
|
||||
echo [OK] Official source download complete
|
||||
|
||||
:install
|
||||
echo.
|
||||
echo [*] Installing Python %PYTHON_VERSION% (this may take 2-5 minutes^)...
|
||||
echo.
|
||||
|
||||
start /wait "" "%INSTALLER%" /passive InstallAllUsers=1 PrependPath=1 Include_test=0 Include_pip=1
|
||||
|
||||
set INSTALL_CODE=%errorlevel%
|
||||
del /f /q "%INSTALLER%" >nul 2>&1
|
||||
|
||||
if %INSTALL_CODE% neq 0 (
|
||||
echo [x] Installation failed with error code: %INSTALL_CODE%
|
||||
pause
|
||||
goto :end
|
||||
)
|
||||
|
||||
echo [+] Installation complete!
|
||||
echo.
|
||||
|
||||
timeout /t 3 /nobreak >nul
|
||||
|
||||
set "PATH=C:\Program Files\Python312;C:\Program Files\Python312\Scripts;%PATH%"
|
||||
|
||||
python --version >nul 2>&1
|
||||
if %errorlevel% equ 0 (
|
||||
echo [OK] Python installed successfully:
|
||||
python --version
|
||||
echo.
|
||||
echo [OK] pip version:
|
||||
pip --version
|
||||
echo.
|
||||
echo [*] Configuring pip mirror (Tsinghua^)...
|
||||
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
|
||||
pip config set global.trusted-host pypi.tuna.tsinghua.edu.cn
|
||||
echo.
|
||||
echo [*] Installing requests...
|
||||
pip install requests
|
||||
echo.
|
||||
echo ========================================
|
||||
echo All done! Open a new terminal to use
|
||||
echo python and pip commands.
|
||||
echo ========================================
|
||||
) else (
|
||||
echo [!] PATH not yet refreshed. Please close this window and open a new terminal.
|
||||
)
|
||||
|
||||
:end
|
||||
echo.
|
||||
pause
|
||||
103
fsapp.py
Normal file
103
fsapp.py
Normal file
@@ -0,0 +1,103 @@
|
||||
import os, sys, threading, asyncio, time, re, json
|
||||
import queue as Q
|
||||
PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__))
|
||||
sys.path.insert(0, PROJECT_ROOT); os.chdir(PROJECT_ROOT)
|
||||
import lark_oapi as lark
|
||||
from lark_oapi.api.im.v1 import *
|
||||
from lark_oapi.api.contact.v3 import *
|
||||
from agentmain import GeneraticAgent
|
||||
import mykey
|
||||
_TAG_PATS = [r'<' + t + r'>.*?</' + t + r'>' for t in ('thinking', 'summary', 'tool_use', 'file_content')]
|
||||
def _clean(t):
|
||||
for p in _TAG_PATS: t = re.sub(p, '', t, flags=re.DOTALL)
|
||||
return re.sub(r'\n{3,}', '\n\n', t).strip() or '...'
|
||||
APP_ID, APP_SECRET = getattr(mykey, 'fs_app_id', None), getattr(mykey, 'fs_app_secret', None)
|
||||
ALLOWED_USERS = set(getattr(mykey, 'fs_allowed_users', []))
|
||||
agent = GeneraticAgent()
|
||||
threading.Thread(target=agent.run, daemon=True).start()
|
||||
client, user_tasks = None, {}
|
||||
def create_client():
|
||||
return lark.Client.builder().app_id(APP_ID).app_secret(APP_SECRET).log_level(lark.LogLevel.INFO).build()
|
||||
_card = lambda t: json.dumps({"config": {"wide_screen_mode": True}, "elements": [{"tag": "markdown", "content": t}]})
|
||||
def send_message(open_id, content, msg_type="text", use_card=False):
|
||||
ct, mt = (_card(content), "interactive") if use_card else (json.dumps({"text": content}), "text")
|
||||
body = CreateMessageRequest.builder().receive_id_type("open_id").request_body(
|
||||
CreateMessageRequestBody.builder().receive_id(open_id).msg_type(mt).content(ct).build()).build()
|
||||
r = client.im.v1.message.create(body)
|
||||
return r.data.message_id if r.success() else (print(f"发送失败: {r.code}, {r.msg}"), None)[1]
|
||||
def update_message(message_id, content):
|
||||
body = PatchMessageRequest.builder().message_id(message_id).request_body(
|
||||
PatchMessageRequestBody.builder().content(_card(content)).build()).build()
|
||||
r = client.im.v1.message.patch(body)
|
||||
if not r.success(): print(f"[ERROR] update_message 失败: {r.code}, {r.msg}")
|
||||
return r.success()
|
||||
def handle_message(data):
|
||||
event, message, sender = data.event, data.event.message, data.event.sender
|
||||
open_id, msg_type = sender.sender_id.open_id, message.message_type
|
||||
if ALLOWED_USERS and open_id not in ALLOWED_USERS: return print(f"未授权用户: {open_id}")
|
||||
if msg_type != "text": return send_message(open_id, "⚠️ 目前只支持文本消息")
|
||||
text = json.loads(message.content).get("text", "").strip()
|
||||
if not text: return
|
||||
print(f"收到消息 [{open_id}]: {text}")
|
||||
if text.startswith("/"): return handle_command(open_id, text)
|
||||
def run_agent():
|
||||
user_tasks[open_id] = {'running': True}
|
||||
try:
|
||||
msg_id, dq, last_text = send_message(open_id, "思考中...", use_card=True), agent.put_task(text, source='feishu'), ""
|
||||
while user_tasks.get(open_id, {}).get('running', False):
|
||||
time.sleep(3)
|
||||
item = None
|
||||
try:
|
||||
while True: item = dq.get_nowait()
|
||||
except: pass
|
||||
if item is None: continue
|
||||
raw, done = item.get("done") or item.get("next", ""), "done" in item
|
||||
show = _clean(raw)
|
||||
if len(show) > 3500:
|
||||
# 智能截断：避免切断代码块
|
||||
cut = show[-3000:]
|
||||
if cut.count('```') % 2 == 1: cut = '```\n' + cut # 补开头
|
||||
msg_id, last_text, show = send_message(open_id, "(继续...)", use_card=True), "", cut
|
||||
display = show if done else show + " ⏳"
|
||||
if display != last_text and msg_id: update_message(msg_id, display); last_text = display
|
||||
if done: break
|
||||
if not user_tasks.get(open_id, {}).get('running', True): send_message(open_id, "⏹️ 已停止")
|
||||
except Exception as e:
|
||||
import traceback; print(f"[ERROR] run_agent 异常: {e}"); traceback.print_exc()
|
||||
send_message(open_id, f"❌ 错误: {str(e)}")
|
||||
finally: user_tasks.pop(open_id, None)
|
||||
threading.Thread(target=run_agent, daemon=True).start()
|
||||
def handle_command(open_id, cmd):
|
||||
import glob
|
||||
if cmd == "/stop":
|
||||
if open_id in user_tasks: user_tasks[open_id]['running'] = False
|
||||
agent.abort(); send_message(open_id, "⏹️ 正在停止...")
|
||||
elif cmd == "/help":
|
||||
send_message(open_id, "📖 命令列表:\n/stop - 停止当前任务\n/status - 查看状态\n/restore - 恢复上次对话历史\n/new - 开启新对话\n/help - 显示帮助")
|
||||
elif cmd == "/status":
|
||||
send_message(open_id, f"状态: {'🟢 空闲' if not agent.is_busy() else '🔴 运行中'}")
|
||||
elif cmd == "/restore":
|
||||
try:
|
||||
files = glob.glob('./temp/model_responses_*.txt')
|
||||
if not files: return send_message(open_id, "❌ 没有找到历史记录")
|
||||
latest = max(files, key=os.path.getmtime)
|
||||
with open(latest, 'r', encoding='utf-8') as f: content = f.read()
|
||||
users = re.findall(r'=== USER ===\n(.+?)(?==== |$)', content, re.DOTALL)
|
||||
resps = re.findall(r'=== Response ===.*?\n(.+?)(?==== Prompt|$)', content, re.DOTALL)
|
||||
count = 0
|
||||
for u, r in zip(users, resps):
|
||||
u, r = u.strip(), r.strip()[:500]
|
||||
if u and r: agent.history.extend([f"[USER]: {u}", f"[Agent] {r}"]); count += 1
|
||||
agent.abort()
|
||||
send_message(open_id, f"✅ 已恢复 {count} 轮对话\n来源: {os.path.basename(latest)}\n(仅恢复上下文，请输入新问题继续)")
|
||||
except Exception as e: send_message(open_id, f"❌ 恢复失败: {e}")
|
||||
else: send_message(open_id, f"❓ 未知命令: {cmd}")
|
||||
def main():
|
||||
global client
|
||||
if not APP_ID or not APP_SECRET: print("错误: 请在 mykey.py 中配置 fs_app_id 和 fs_app_secret"); sys.exit(1)
|
||||
client = create_client()
|
||||
handler = lark.EventDispatcherHandler.builder("", "").register_p2_im_message_receive_v1(handle_message).build()
|
||||
cli = lark.ws.Client(APP_ID, APP_SECRET, event_handler=handler, log_level=lark.LogLevel.INFO)
|
||||
print("=" * 50 + "\n飞书 Agent 已启动（长连接模式）\n" + f"App ID: {APP_ID}\n等待消息...\n" + "=" * 50)
|
||||
cli.start()
|
||||
if __name__ == "__main__": main()
|
||||
Reference in New Issue
Block a user