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飞书插件 — 通过飞书 WebSocket 长连接接入 OpenCode AI 对话","maintainers":[{"name":"borncoder","email":"1305882275@qq.com"}],"readme":"# opencode-feishu\n\n[![npm](https://img.shields.io/npm/v/opencode-feishu)](https://www.npmjs.com/package/opencode-feishu)\n\n[OpenCode](https://opencode.ai) 飞书插件 — 通过飞书 WebSocket 长连接将飞书消息接入 OpenCode AI 对话。\n\n## 快速开始\n\n### 1. 配置 OpenCode 加载插件\n\n在 `~/.config/opencode/opencode.json` 中添加：\n\n```json\n{\n  \"plugin\": [\"opencode-feishu\"]\n}\n```\n\n> Windows 上 Bun 安装存在 EPERM 权限问题，建议使用项目绝对路径：`\"plugin\": [\"D:/path/to/opencode-feishu\"]`\n\n### 2. 创建飞书配置文件\n\n创建 `~/.config/opencode/plugins/feishu.json`：\n\n```json\n{\n  \"appId\": \"cli_xxxxxxxxxxxx\",\n  \"appSecret\": \"xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\"\n}\n```\n\n也支持通过环境变量注入敏感值（适合容器部署）：\n\n```json\n{\n  \"appId\": \"${FEISHU_APP_ID}\",\n  \"appSecret\": \"${FEISHU_APP_SECRET}\"\n}\n```\n\n`${VAR_NAME}` 占位符会在启动时从 `process.env` 读取，未设置则报错。明文值直接使用。\n\n### 3. 配置飞书应用\n\n在 [飞书开放平台](https://open.feishu.cn/app) 创建自建应用，然后：\n\n1. **添加机器人能力**\n2. **事件订阅** — 添加 `im.message.receive_v1` 和 `im.chat.member.bot.added_v1`\n3. **订阅方式** — 选择「使用长连接接收事件/回调」（不是 Webhook）\n4. **权限** — 开通 `im:message`、`im:message:send_as_bot`、`im:chat`、`im:message:readonly`、`contact:user.base:readonly`\n5. **发布应用**\n\n### 4. 启动 OpenCode\n\n```bash\nopencode\n```\n\n插件自动安装并连接飞书 WebSocket。\n\n## 配置说明\n\n`~/.config/opencode/plugins/feishu.json` 完整配置：\n\n| 字段 | 类型 | 必填 | 默认值 | 说明 |\n|------|------|:----:|--------|------|\n| `appId` | string | 是 | — | 飞书应用 App ID |\n| `appSecret` | string | 是 | — | 飞书应用 App Secret |\n| `timeout` | number | 否 | `未设置` | 对话轮询总超时（毫秒）；未配置时不设固定超时，持续等待直到响应稳定、检测到 SSE 错误或请求被中断 |\n| `logLevel` | string | 否 | `\"info\"` | 日志级别：fatal/error/warn/info/debug/trace |\n| `maxHistoryMessages` | number | 否 | `200` | 入群时最多摄入的历史消息条数（飞书接口按 50/页分页拉取） |\n| `pollInterval` | number | 否 | `1000` | 轮询 AI 响应的间隔（毫秒） |\n| `stablePolls` | number | 否 | `3` | 连续几次轮询内容不变视为回复完成 |\n| `dedupTtl` | number | 否 | `600000` | 消息去重缓存过期时间（毫秒） |\n| `maxResourceSize` | number | 否 | `524288000` | 单个资源最大下载大小（字节，默认 500MB） |\n| `directory` | string | 否 | `OpenCode 当前工作目录` | 默认工作目录，支持 `~` 和 `${ENV_VAR}` 展开；若 OpenCode 未提供则为空字符串 |\n| `nudge.enabled` | boolean | 否 | `false` | 启用 session.idle 催促；命中条件时向 OpenCode 发送 synthetic prompt，而不是直接向飞书新增可见消息 |\n| `nudge.intervalSeconds` | number | 否 | `30` | 同一 session 连续催促的最小间隔（秒） |\n| `nudge.maxIterations` | number | 否 | `3` | 同一 session 最大催促次数（用户新消息后重置） |\n| `nudge.message` | string | 否 | `\"上一步操作已完成。请继续执行下一步，同步当前进度。如果全部完成，给出完整结果和结论。\"` | 发送给 OpenCode 的 synthetic prompt 内容 |\n\n## 特性\n\n- **CardKit 2.0 流式卡片** — AI 回复实时显示文本（markdown 渲染）和工具调用进度\n- **交互式卡片** — 权限审批和问答通过按钮完成（card.action.trigger 回调）\n- **Agent 卡片工具** — `feishu_send_card` tool，AI 自主决定何时使用卡片展示结构化内容\n- **运行时 prompt 分层** — `prompt.md` 仅注入飞书渠道事实和工具契约，`SKILL.md` 负责维护与评审，不再用插件侧 skill 主动塑形会话\n- **多媒体消息支持** — 图片、文件、音频、富文本（含内嵌图片）、卡片表格等，自动下载转换\n- **用户名显示** — 群聊消息自动解析飞书用户名替代 open_id（24h 缓存）\n- **消息引用解析** — 解析飞书回复/引用关系，将被引用消息内容作为上下文传给 AI\n- **群聊静默监听** — 所有群消息作为上下文积累，仅 @提及时回复\n- **FIFO 消息队列** — P2P 和群聊统一串行队列，消息按顺序处理不互相中断\n- **入群自动摄入历史消息**\n- **session.idle 催促** — 仅在工具调用后停止时，按需向 OpenCode 注入 synthetic prompt 继续执行（可配置）\n- **Langfuse 用户关联** — 每条消息 fire-and-forget 发送 trace 到 Langfuse，关联 sessionId 和飞书 userId\n- **代理支持** — `HTTPS_PROXY` / `HTTP_PROXY` / `ALL_PROXY`\n- **消息去重** — 可配置 TTL（默认 10 分钟）\n- **Zod 配置验证** — 启动时结构化验证 feishu.json，拼写/类型错误立即报出\n\n## 产品行为\n\n完整的产品行为契约（消息流程、责任分界、错误体验、不变量、配置如何影响行为）见 **[BEHAVIOR.md](./BEHAVIOR.md)**。\n\n简表速查：\n\n| 场景 | 发送到 OpenCode | AI 回复 | 飞书回复 |\n|------|:---:|:---:|:---:|\n| 单聊 | 是 | 是 | 是（流式卡片） |\n| 群聊 + @bot | 是 | 是 | 是（流式卡片） |\n| 群聊未 @bot | 是 | 否（静默积累上下文） | 否 |\n| bot 入群 | 历史消息 | 否 | 否 |\n\n支持的消息类型：text / image / 富文本 (post) / file / audio / 卡片 / quote。详见 BEHAVIOR.md §4.2。\n\n### 会话命令\n\n- `/new`：由插件直接处理，立即重置当前飞书逻辑会话并创建新的 OpenCode session。\n- 其他 `/` 命令（如 `/reset`、`/help`）不会被插件解析，仍会原样发送给 agent。\n\n## 开发\n\n```bash\nnpm install           # 安装依赖\nnpm run build         # 构建\nnpm run dev           # 开发模式（监听变更）\nnpm run typecheck     # 类型检查\nnpm run release       # 交互式版本发布（bumpp：选版本 → commit → tag → push）\nnpm publish           # 发布到 npm（自动先构建+类型检查）\nnpm publish --dry-run # 预览将要发布的内容\n```\n\n## 调试\n\n```bash\n# 启用调试日志（结构化 JSON 输出到 stderr）\nFEISHU_DEBUG=1 opencode\n\n# 过滤错误日志\nFEISHU_DEBUG=1 opencode 2>&1 | grep '\"level\":\"error\"'\n\n# 重定向到文件\nFEISHU_DEBUG=1 opencode 2>feishu-debug.log\n```\n\n## 许可证\n\nMIT\n","readmeFilename":"README.md"}