diff --git a/bot/.dockerignore b/bot/.dockerignore new file mode 100644 index 00000000..89950768 --- /dev/null +++ b/bot/.dockerignore @@ -0,0 +1,52 @@ +# Git +.git +.gitignore +.github + +# Python +__pycache__ +*.pyc +*.pyo +*.pyd +.Python +*.so +*.egg +*.egg-info +dist +build +.venv +venv +ENV/ +env/ + +# Node.js +node_modules +npm-debug.log +yarn-error.log +yarn.lock +package-lock.json + +# IDE +.idea +.vscode +*.swp +*.swo +*~ + +# OS +.DS_Store +Thumbs.db + +# Tests +tests/ +*.test.js +*.test.py + +# Docs +*.md +!README.md +LICENSE + +# Build artifacts +*.log +workspace/ diff --git a/bot/.gitignore b/bot/.gitignore new file mode 100644 index 00000000..06b82a4b --- /dev/null +++ b/bot/.gitignore @@ -0,0 +1,39 @@ +# Dependencies +node_modules/ + +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +lerna-debug.log* + +# OS +.DS_Store +Thumbs.db + +# IDE +.vscode/ +.idea/ +*.swp +*.swo +*~ + +# Environment variables +.env +.env.local +.env.development.local +.env.test.local +.env.production.local + +# Build outputs +dist/ +build/ + +# Coverage directory +coverage/ + +test/ + +CLAUDE.md \ No newline at end of file diff --git a/bot/README.md b/bot/README.md new file mode 100644 index 00000000..f1c1c536 --- /dev/null +++ b/bot/README.md @@ -0,0 +1,824 @@ + +# Vikingbot + +**Vikingbot**, built on the [Nanobot](https://github.com/HKUDS/nanobot) project, is designed to deliver an OpenClaw-like bot integrated with OpenViking. + +## 📦 Install + +**Install from source** (latest features, recommended for development) + +```bash +git clone https://github.com/volcengine/OpenViking +cd OpenViking/bot +source .venv/bin/activate +uv pip install -e . +``` + +## 🚀 Quick Start + +> [!TIP] +> The easiest way to configure vikingbot is through the Console Web UI! +> Get API keys: [OpenRouter](https://openrouter.ai/keys) (Global) · [Brave Search](https://brave.com/search/api/) (optional, for web search) + +**1. Start the gateway** + +```bash +vikingbot gateway +``` + +This will automatically: +- Create a default config at `~/.vikingbot/config.json` +- Start the Console Web UI at http://localhost:18791 + +**2. Configure via Console** + +Open http://localhost:18791 in your browser and: +- Go to the **Config** tab +- Add your provider API keys (OpenRouter, OpenAI, etc.) +- Save the config + +**3. Chat** + +```bash +vikingbot agent -m "What is 2+2?" +``` + +That's it! You have a working AI assistant in 2 minutes. + +## 🐳 Docker Deployment + +You can also deploy vikingbot using Docker for easier setup and isolation. + +## ☁️ Volcengine VKE Deployment + +If you want to deploy vikingbot on Volcengine Kubernetes Engine (VKE), see the detailed deployment guide: + +👉 [VKE Deployment Guide (Chinese)](deploy/vke/README.md) + +The guide includes: +- Complete prerequisites +- How to create Volcengine account, VKE cluster, container registry, and TOS bucket +- One-click deployment script usage +- Configuration details and troubleshooting +### Prerequisites + +First, install Docker: +- **macOS**: Download [Docker Desktop](https://www.docker.com/products/docker-desktop) +- **Windows**: Download [Docker Desktop](https://www.docker.com/products/docker-desktop) +- **Linux**: Follow [Docker's official docs](https://docs.docker.com/engine/install/) + +Verify Docker installation: +```bash +docker --version +``` + +### Quick Volcengine Registry Deploy (Recommended) +### Quick Docker Deploy + +```bash +# 1. Create necessary directories +mkdir -p ~/.vikingbot/ + +# 2. Start container +docker run -d \ + --name vikingbot \ + --restart unless-stopped \ + --platform linux/amd64 \ + -v ~/.vikingbot:/root/.vikingbot \ + -p 18791:18791 \ + vikingbot-cn-beijing.cr.volces.com/vikingbot/vikingbot:latest \ + gateway + +# 3. View logs +docker logs --tail 50 -f vikingbot +``` + +Press `Ctrl+C` to exit log view, the container continues running in background. + +### Local Build and Deploy + +If you want to build the Docker image locally: + +```bash +# Build image +./deploy/docker/build-image.sh + +# Deploy +./deploy/docker/deploy.sh + +# Stop +./deploy/docker/stop.sh +``` + +For more Docker deployment options, see [deploy/docker/README.md](deploy/docker/README.md). + +## 💬 Chat Apps + +Talk to your vikingbot through Telegram, Discord, WhatsApp, Feishu, Mochat, DingTalk, Slack, Email, or QQ — anytime, anywhere. + +| Channel | Setup | +|---------|-------| +| **Telegram** | Easy (just a token) | +| **Discord** | Easy (bot token + intents) | +| **WhatsApp** | Medium (scan QR) | +| **Feishu** | Medium (app credentials) | +| **Mochat** | Medium (claw token + websocket) | +| **DingTalk** | Medium (app credentials) | +| **Slack** | Medium (bot + app tokens) | +| **Email** | Medium (IMAP/SMTP credentials) | +| **QQ** | Easy (app credentials) | + +
+Telegram (Recommended) + +**1. Create a bot** +- Open Telegram, search `@BotFather` +- Send `/newbot`, follow prompts +- Copy the token + +**2. Configure** + +```json +{ + "channels": [ + { + "type": "telegram", + "enabled": true, + "token": "YOUR_BOT_TOKEN", + "allowFrom": ["YOUR_USER_ID"] + } + ] +} +``` + +> You can find your **User ID** in Telegram settings. It is shown as `@yourUserId`. +> Copy this value **without the `@` symbol** and paste it into the config file. + + +**3. Run** + +```bash +vikingbot gateway +``` + +
+ +
+Mochat (Claw IM) + +Uses **Socket.IO WebSocket** by default, with HTTP polling fallback. + +**1. Ask vikingbot to set up Mochat for you** + +Simply send this message to vikingbot (replace `xxx@xxx` with your real email): + +``` +Read https://raw.githubusercontent.com/HKUDS/MoChat/refs/heads/main/skills/vikingbot/skill.md and register on MoChat. My Email account is xxx@xxx Bind me as your owner and DM me on MoChat. +``` + +vikingbot will automatically register, configure `~/.vikingbot/config.json`, and connect to Mochat. + +**2. Restart gateway** + +```bash +vikingbot gateway +``` + +That's it — vikingbot handles the rest! + +
+ +
+Manual configuration (advanced) + +If you prefer to configure manually, add the following to `~/.vikingbot/config.json`: + +> Keep `claw_token` private. It should only be sent in `X-Claw-Token` header to your Mochat API endpoint. + +```json +{ + "channels": [ + { + "type": "mochat", + "enabled": true, + "base_url": "https://mochat.io", + "socket_url": "https://mochat.io", + "socket_path": "/socket.io", + "claw_token": "claw_xxx", + "agent_user_id": "6982abcdef", + "sessions": ["*"], + "panels": ["*"], + "reply_delay_mode": "non-mention", + "reply_delay_ms": 120000 + } + ] +} +``` + + + +
+ +
+ +
+Discord + +**1. Create a bot** +- Go to https://discord.com/developers/applications +- Create an application → Bot → Add Bot +- Copy the bot token + +**2. Enable intents** +- In the Bot settings, enable **MESSAGE CONTENT INTENT** +- (Optional) Enable **SERVER MEMBERS INTENT** if you plan to use allow lists based on member data + +**3. Get your User ID** +- Discord Settings → Advanced → enable **Developer Mode** +- Right-click your avatar → **Copy User ID** + +**4. Configure** + +```json +{ + "channels": [ + { + "type": "discord", + "enabled": true, + "token": "YOUR_BOT_TOKEN", + "allowFrom": ["YOUR_USER_ID"] + } + ] +} +``` + +**5. Invite the bot** +- OAuth2 → URL Generator +- Scopes: `bot` +- Bot Permissions: `Send Messages`, `Read Message History` +- Open the generated invite URL and add the bot to your server + +**6. Run** + +```bash +vikingbot gateway +``` + +
+ +
+WhatsApp + +Requires **Node.js ≥18**. + +**1. Link device** + +```bash +vikingbot channels login +# Scan QR with WhatsApp → Settings → Linked Devices +``` + +**2. Configure** + +```json +{ + "channels": [ + { + "type": "whatsapp", + "enabled": true, + "allowFrom": ["+1234567890"] + } + ] +} +``` + +**3. Run** (two terminals) + +```bash +# Terminal 1 +vikingbot channels login + +# Terminal 2 +vikingbot gateway +``` + +
+ +
+Feishu (飞书) + +Uses **WebSocket** long connection — no public IP required. + +**1. Create a Feishu bot** +- Visit [Feishu Open Platform](https://open.feishu.cn/app) +- Create a new app → Enable **Bot** capability +- **Permissions**: Add `im:message` (send messages) +- **Events**: Add `im.message.receive_v1` (receive messages) + - Select **Long Connection** mode (requires running vikingbot first to establish connection) +- Get **App ID** and **App Secret** from "Credentials & Basic Info" +- Publish the app + +**2. Configure** + +```json +{ + "channels": [ + { + "type": "feishu", + "enabled": true, + "appId": "cli_xxx", + "appSecret": "xxx", + "encryptKey": "", + "verificationToken": "", + "allowFrom": [] + } + ] +} +``` + +> `encryptKey` and `verificationToken` are optional for Long Connection mode. +> `allowFrom`: Leave empty to allow all users, or add `["ou_xxx"]` to restrict access. + +**3. Run** + +```bash +vikingbot gateway +``` + +> [!TIP] +> Feishu uses WebSocket to receive messages — no webhook or public IP needed! + +
+ +
+QQ (QQ单聊) + +Uses **botpy SDK** with WebSocket — no public IP required. Currently supports **private messages only**. + +**1. Register & create bot** +- Visit [QQ Open Platform](https://q.qq.com) → Register as a developer (personal or enterprise) +- Create a new bot application +- Go to **开发设置 (Developer Settings)** → copy **AppID** and **AppSecret** + +**2. Set up sandbox for testing** +- In the bot management console, find **沙箱配置 (Sandbox Config)** +- Under **在消息列表配置**, click **添加成员** and add your own QQ number +- Once added, scan the bot's QR code with mobile QQ → open the bot profile → tap "发消息" to start chatting + +**3. Configure** + +> - `allowFrom`: Leave empty for public access, or add user openids to restrict. You can find openids in the vikingbot logs when a user messages the bot. +> - For production: submit a review in the bot console and publish. See [QQ Bot Docs](https://bot.q.qq.com/wiki/) for the full publishing flow. + +```json +{ + "channels": [ + { + "type": "qq", + "enabled": true, + "appId": "YOUR_APP_ID", + "secret": "YOUR_APP_SECRET", + "allowFrom": [] + } + ] +} +``` + +**4. Run** + +```bash +vikingbot gateway +``` + +Now send a message to the bot from QQ — it should respond! + +
+ +
+DingTalk (钉钉) + +Uses **Stream Mode** — no public IP required. + +**1. Create a DingTalk bot** +- Visit [DingTalk Open Platform](https://open-dev.dingtalk.com/) +- Create a new app -> Add **Robot** capability +- **Configuration**: + - Toggle **Stream Mode** ON +- **Permissions**: Add necessary permissions for sending messages +- Get **AppKey** (Client ID) and **AppSecret** (Client Secret) from "Credentials" +- Publish the app + +**2. Configure** + +```json +{ + "channels": [ + { + "type": "dingtalk", + "enabled": true, + "clientId": "YOUR_APP_KEY", + "clientSecret": "YOUR_APP_SECRET", + "allowFrom": [] + } + ] +} +``` + +> `allowFrom`: Leave empty to allow all users, or add `["staffId"]` to restrict access. + +**3. Run** + +```bash +vikingbot gateway +``` + +
+ +
+Slack + +Uses **Socket Mode** — no public URL required. + +**1. Create a Slack app** +- Go to [Slack API](https://api.slack.com/apps) → **Create New App** → "From scratch" +- Pick a name and select your workspace + +**2. Configure the app** +- **Socket Mode**: Toggle ON → Generate an **App-Level Token** with `connections:write` scope → copy it (`xapp-...`) +- **OAuth & Permissions**: Add bot scopes: `chat:write`, `reactions:write`, `app_mentions:read` +- **Event Subscriptions**: Toggle ON → Subscribe to bot events: `message.im`, `message.channels`, `app_mention` → Save Changes +- **App Home**: Scroll to **Show Tabs** → Enable **Messages Tab** → Check **"Allow users to send Slash commands and messages from the messages tab"** +- **Install App**: Click **Install to Workspace** → Authorize → copy the **Bot Token** (`xoxb-...`) + +**3. Configure vikingbot** + +```json +{ + "channels": [ + { + "type": "slack", + "enabled": true, + "botToken": "xoxb-...", + "appToken": "xapp-...", + "groupPolicy": "mention" + } + ] +} +``` + +**4. Run** + +```bash +vikingbot gateway +``` + +DM the bot directly or @mention it in a channel — it should respond! + +> [!TIP] +> - `groupPolicy`: `"mention"` (default — respond only when @mentioned), `"open"` (respond to all channel messages), or `"allowlist"` (restrict to specific channels). +> - DM policy defaults to open. Set `"dm": {"enabled": false}` to disable DMs. + +
+ +
+Email + +Give vikingbot its own email account. It polls **IMAP** for incoming mail and replies via **SMTP** — like a personal email assistant. + +**1. Get credentials (Gmail example)** +- Create a dedicated Gmail account for your bot (e.g. `my-vikingbot@gmail.com`) +- Enable 2-Step Verification → Create an [App Password](https://myaccount.google.com/apppasswords) +- Use this app password for both IMAP and SMTP + +**2. Configure** + +> - `consentGranted` must be `true` to allow mailbox access. This is a safety gate — set `false` to fully disable. +> - `allowFrom`: Leave empty to accept emails from anyone, or restrict to specific senders. +> - `smtpUseTls` and `smtpUseSsl` default to `true` / `false` respectively, which is correct for Gmail (port 587 + STARTTLS). No need to set them explicitly. +> - Set `"autoReplyEnabled": false` if you only want to read/analyze emails without sending automatic replies. + +```json +{ + "channels": [ + { + "type": "email", + "enabled": true, + "consentGranted": true, + "imapHost": "imap.gmail.com", + "imapPort": 993, + "imapUsername": "my-vikingbot@gmail.com", + "imapPassword": "your-app-password", + "smtpHost": "smtp.gmail.com", + "smtpPort": 587, + "smtpUsername": "my-vikingbot@gmail.com", + "smtpPassword": "your-app-password", + "fromAddress": "my-vikingbot@gmail.com", + "allowFrom": ["your-real-email@gmail.com"] + } + ] +} +``` + + +**3. Run** + +```bash +vikingbot gateway +``` + +
+ +## 🌐 Agent Social Network + +🐈 vikingbot is capable of linking to the agent social network (agent community). **Just send one message and your vikingbot joins automatically!** + +| Platform | How to Join (send this message to your bot) | +|----------|-------------| +| [**Moltbook**](https://www.moltbook.com/) | `Read https://moltbook.com/skill.md and follow the instructions to join Moltbook` | +| [**ClawdChat**](https://clawdchat.ai/) | `Read https://clawdchat.ai/skill.md and follow the instructions to join ClawdChat` | + +Simply send the command above to your vikingbot (via CLI or any chat channel), and it will handle the rest. + +## ⚙️ Configuration + +Config file: `~/.vikingbot/config.json` + +> [!IMPORTANT] +> After modifying the configuration (either via Console UI or by editing the file directly), +> you need to restart the gateway service for changes to take effect. + +### Manual Configuration (Advanced) + +If you prefer to edit the config file directly instead of using the Console UI: + +```json +{ + "providers": { + "openai": { + "apiKey": "sk-xxx" + } + }, + "agents": { + "defaults": { + "model": "openai/doubao-seed-2-0-pro-260215" + } + } +} +``` + +### Providers + +> [!TIP] +> - **Groq** provides free voice transcription via Whisper. If configured, Telegram voice messages will be automatically transcribed. +> - **Zhipu Coding Plan**: If you're on Zhipu's coding plan, set `"apiBase": "https://open.bigmodel.cn/api/coding/paas/v4"` in your zhipu provider config. +> - **MiniMax (Mainland China)**: If your API key is from MiniMax's mainland China platform (minimaxi.com), set `"apiBase": "https://api.minimaxi.com/v1"` in your minimax provider config. + +| Provider | Purpose | Get API Key | +|----------|---------|-------------| +| `openrouter` | LLM (recommended, access to all models) | [openrouter.ai](https://openrouter.ai) | +| `anthropic` | LLM (Claude direct) | [console.anthropic.com](https://console.anthropic.com) | +| `openai` | LLM (GPT direct) | [platform.openai.com](https://platform.openai.com) | +| `deepseek` | LLM (DeepSeek direct) | [platform.deepseek.com](https://platform.deepseek.com) | +| `groq` | LLM + **Voice transcription** (Whisper) | [console.groq.com](https://console.groq.com) | +| `gemini` | LLM (Gemini direct) | [aistudio.google.com](https://aistudio.google.com) | +| `minimax` | LLM (MiniMax direct) | [platform.minimax.io](https://platform.minimax.io) | +| `aihubmix` | LLM (API gateway, access to all models) | [aihubmix.com](https://aihubmix.com) | +| `dashscope` | LLM (Qwen) | [dashscope.console.aliyun.com](https://dashscope.console.aliyun.com) | +| `moonshot` | LLM (Moonshot/Kimi) | [platform.moonshot.cn](https://platform.moonshot.cn) | +| `zhipu` | LLM (Zhipu GLM) | [open.bigmodel.cn](https://open.bigmodel.cn) | +| `vllm` | LLM (local, any OpenAI-compatible server) | — | + +
+Adding a New Provider (Developer Guide) + +vikingbot uses a **Provider Registry** (`vikingbot/providers/registry.py`) as the single source of truth. +Adding a new provider only takes **2 steps** — no if-elif chains to touch. + +**Step 1.** Add a `ProviderSpec` entry to `PROVIDERS` in `vikingbot/providers/registry.py`: + +```python +ProviderSpec( + name="myprovider", # config field name + keywords=("myprovider", "mymodel"), # model-name keywords for auto-matching + env_key="MYPROVIDER_API_KEY", # env var for LiteLLM + display_name="My Provider", # shown in `vikingbot status` + litellm_prefix="myprovider", # auto-prefix: model → myprovider/model + skip_prefixes=("myprovider/",), # don't double-prefix +) +``` + +**Step 2.** Add a field to `ProvidersConfig` in `vikingbot/config/schema.py`: + +```python +class ProvidersConfig(BaseModel): + ... + myprovider: ProviderConfig = ProviderConfig() +``` + +That's it! Environment variables, model prefixing, config matching, and `vikingbot status` display will all work automatically. + +**Common `ProviderSpec` options:** + +| Field | Description | Example | +|-------|-------------|---------| +| `litellm_prefix` | Auto-prefix model names for LiteLLM | `"dashscope"` → `dashscope/qwen-max` | +| `skip_prefixes` | Don't prefix if model already starts with these | `("dashscope/", "openrouter/")` | +| `env_extras` | Additional env vars to set | `(("ZHIPUAI_API_KEY", "{api_key}"),)` | +| `model_overrides` | Per-model parameter overrides | `(("kimi-k2.5", {"temperature": 1.0}),)` | +| `is_gateway` | Can route any model (like OpenRouter) | `True` | +| `detect_by_key_prefix` | Detect gateway by API key prefix | `"sk-or-"` | +| `detect_by_base_keyword` | Detect gateway by API base URL | `"openrouter"` | +| `strip_model_prefix` | Strip existing prefix before re-prefixing | `True` (for AiHubMix) | + +
+ + +### Security + +| Option | Default | Description | +|--------|---------|-------------| +| `tools.restrictToWorkspace` | `true` | When `true`, restricts **all** agent tools (shell, file read/write/edit, list) to the workspace directory. Prevents path traversal and out-of-scope access. | +| `channels.*.allowFrom` | `[]` (allow all) | Whitelist of user IDs. Empty = allow everyone; non-empty = only listed users can interact. | + +### Sandbox + +vikingbot supports sandboxed execution for enhanced security. By default, sandbox is disabled. To enable sandbox with SRT backend in per-session mode, set `"enabled": true`. + +
+Sandbox Configuration (SRT Backend) + +```json +{ + "sandbox": { + "enabled": false, + "backend": "srt", + "mode": "per-session", + "network": { + "allowedDomains": [], + "deniedDomains": [], + "allowLocalBinding": false + }, + "filesystem": { + "denyRead": [], + "allowWrite": [], + "denyWrite": [] + }, + "runtime": { + "cleanupOnExit": true, + "timeout": 300 + }, + "backends": { + "srt": { + "nodePath": "node" + } + } + } +} +``` + +**Configuration Options:** + +| Option | Default | Description | +|--------|---------|-------------| +| `enabled` | `false` | Enable sandbox execution | +| `backend` | `"srt"` | Sandbox backend: `srt` or `docker` | +| `mode` | `"per-session"` | Sandbox mode: `per-session` (isolated per session) or `shared` (shared across sessions) | +| `network.allowedDomains` | `[]` | List of allowed domains for network access (empty = all allowed) | +| `network.deniedDomains` | `[]` | List of denied domains (blocked regardless of allowed list) | +| `network.allowLocalBinding` | `false` | Allow binding to local addresses (localhost, 127.0.0.1) | +| `filesystem.denyRead` | `[]` | Paths/files to deny read access | +| `filesystem.allowWrite` | `[]` | Paths/files to explicitly allow write access | +| `filesystem.denyWrite` | `[]` | Paths/files to deny write access | +| `runtime.cleanupOnExit` | `true` | Clean up sandbox resources on exit | +| `runtime.timeout` | `300` | Command execution timeout in seconds | +| `backends.srt.nodePath` | `"/usr/local/bin/node"` | Path to Node.js executable (use full path if `node` is not in PATH) | + +**SRT Backend Setup:** + +The SRT backend uses `@anthropic-ai/sandbox-runtime`. It's automatically installed when you run `vikingbot onboard`. + +**System Dependencies:** + +The SRT backend also requires these system packages to be installed: +- `ripgrep` (rg) - for text search +- `bubblewrap` (bwrap) - for sandbox isolation +- `socat` - for network proxy + +**Install on macOS:** +```bash +brew install ripgrep bubblewrap socat +``` + +**Install on Ubuntu/Debian:** +```bash +sudo apt-get install -y ripgrep bubblewrap socat +``` + +**Install on Fedora/CentOS:** +```bash +sudo dnf install -y ripgrep bubblewrap socat +``` + +To verify installation: + +```bash +npm list -g @anthropic-ai/sandbox-runtime +``` + +If not installed, install it manually: + +```bash +npm install -g @anthropic-ai/sandbox-runtime +``` + +**Node.js Path Configuration:** + +If `node` command is not found in PATH, specify the full path in your config: + +```json +{ + "sandbox": { + "backends": { + "srt": { + "nodePath": "/usr/local/bin/node" + } + } + } +} +``` + +To find your Node.js path: + +```bash +which node +# or +which nodejs +``` + +
+ + +## CLI Reference + +| Command | Description | +|---------|-------------| +| `vikingbot agent -m "..."` | Chat with the agent | +| `vikingbot agent` | Interactive chat mode | +| `vikingbot agent --no-markdown` | Show plain-text replies | +| `vikingbot agent --logs` | Show runtime logs during chat | +| `vikingbot tui` | Launch TUI (Terminal User Interface) | +| `vikingbot gateway` | Start the gateway and Console Web UI | +| `vikingbot status` | Show status | +| `vikingbot channels login` | Link WhatsApp (scan QR) | +| `vikingbot channels status` | Show channel status | + +## 🖥️ Console Web UI + +The Console Web UI is automatically started when you run `vikingbot gateway`, accessible at http://localhost:18791. + +**Features:** +- **Dashboard**: Quick overview of system status and sessions +- **Config**: Configure providers, agents, channels, and tools in a user-friendly interface + - Form-based editor for easy configuration + - JSON editor for advanced users +- **Sessions**: View and manage chat sessions +- **Workspace**: Browse and edit files in the workspace directory + +> [!IMPORTANT] +> After saving configuration changes in the Console, you need to restart the gateway service for changes to take effect. + +Interactive mode exits: `exit`, `quit`, `/exit`, `/quit`, `:q`, or `Ctrl+D`. + +
+TUI (Terminal User Interface) + +Launch the vikingbot TUI for a rich terminal-based chat experience: + +```bash +vikingbot tui +``` + +The TUI provides: +- Rich text rendering with markdown support +- Message history and conversation management +- Real-time agent responses +- Keyboard shortcuts for navigation + +
+ +
+Scheduled Tasks (Cron) + +```bash +# Add a job +vikingbot cron add --name "daily" --message "Good morning!" --cron "0 9 * * *" +vikingbot cron add --name "hourly" --message "Check status" --every 3600 + +# List jobs +vikingbot cron list + +# Remove a job +vikingbot cron remove +``` + +
diff --git a/bot/README_CN.md b/bot/README_CN.md new file mode 100644 index 00000000..80e7cc17 --- /dev/null +++ b/bot/README_CN.md @@ -0,0 +1,896 @@ + +# Vikingbot + +**Vikingbot** 基于 [Nanobot](https://github.com/HKUDS/nanobot) 项目构建,旨在提供一个与 OpenViking 集成的类 OpenClaw 机器人。 + +## ✨ OpenViking 核心特性 + +Vikingbot 深度集成 OpenViking,提供强大的知识管理和记忆检索能力: + +- **本地/远程双模式**:支持本地存储(`~/.vikingbot/ov_data/`)和远程服务器模式 +- **7 个专用 Agent 工具**:资源管理、语义搜索、正则搜索、通配符搜索、记忆搜索 +- **三级内容访问**:L0(摘要)、L1(概览)、L2(完整内容) +- **会话记忆自动提交**:对话历史自动保存到 OpenViking +- **火山引擎 TOS 集成**:远程模式下支持云存储 + +## 📦 安装 + +**从源码安装**(最新功能,推荐用于开发) + +```bash +git clone https://github.com/volcengine/OpenViking +cd OpenViking/bot +source .venv/bin/activate +uv pip install -e . +``` + +## 🚀 快速开始 + +> [!TIP] +> 配置 vikingbot 最简单的方式是通过控制台 Web UI! +> 获取 API 密钥:[OpenRouter](https://openrouter.ai/keys)(全球)· [Brave Search](https://brave.com/search/api/)(可选,用于网页搜索) + +**1. 启动网关** + +```bash +vikingbot gateway +``` + +这将自动: +- 在 `~/.vikingbot/config.json` 创建默认配置 +- 在 http://localhost:18791 启动控制台 Web UI + +**2. 通过控制台配置** + +在浏览器中打开 http://localhost:18791 并: +- 进入 **Config** 标签页 +- 添加您的提供商 API 密钥(OpenRouter、OpenAI 等) +- 保存配置 + +**3. 聊天** + +```bash +vikingbot agent -m "What is 2+2?" +``` + +就这么简单!您只需 2 分钟就能拥有一个可用的 AI 助手。 + +## 🐳 Docker 部署 + +您也可以使用 Docker 部署 vikingbot,以便更轻松地设置和隔离。 + +## ☁️ 火山引擎 VKE 部署 + +如果您想在火山引擎容器服务(VKE)上部署 vikingbot,请查看详细的部署文档: + +👉 [VKE 部署指南](deploy/vke/README.md) + +该指南包含: +- 完整的前置准备步骤 +- 火山引擎账号、VKE 集群、镜像仓库、TOS 存储桶的创建方法 +- 一键部署脚本使用说明 +- 配置详解和故障排查 + +### 前置要求 + +首先安装 Docker: +- **macOS**:下载 [Docker Desktop](https://www.docker.com/products/docker-desktop) +- **Windows**:下载 [Docker Desktop](https://www.docker.com/products/docker-desktop) +- **Linux**:参考 [Docker 官方文档](https://docs.docker.com/engine/install/) + +验证 Docker 安装: +```bash +docker --version +``` + +### 快速火山引擎镜像仓库部署(推荐) +### 快速 Docker 部署 + +```bash +# 1. 创建必要目录 +mkdir -p ~/.vikingbot/ + +# 2. 启动容器 +docker run -d \ + --name vikingbot \ + --restart unless-stopped \ + --platform linux/amd64 \ + -v ~/.vikingbot:/root/.vikingbot \ + -p 18791:18791 \ + vikingbot-cn-beijing.cr.volces.com/vikingbot/vikingbot:latest \ + gateway + +# 3. 查看日志 +docker logs --tail 50 -f vikingbot +``` + +按 `Ctrl+C` 退出日志视图,容器将继续在后台运行。 + +### 本地构建和部署 + +如果您想在本地构建 Docker 镜像: + +```bash +# 构建镜像 +./deploy/docker/build-image.sh + +# 部署 +./deploy/docker/deploy.sh + +# 停止 +./deploy/docker/stop.sh +``` + +更多 Docker 部署选项,请查看 [deploy/docker/README.md](deploy/docker/README.md)。 + +## 💬 聊天应用 + +通过 Telegram、Discord、WhatsApp、飞书、Mochat、钉钉、Slack、邮件或 QQ 与您的 vikingbot 对话 —— 随时随地。 + +| 渠道 | 设置难度 | +|---------|-------| +| **Telegram** | 简单(只需一个令牌) | +| **Discord** | 简单(机器人令牌 + 权限) | +| **WhatsApp** | 中等(扫描二维码) | +| **飞书** | 中等(应用凭证) | +| **Mochat** | 中等(claw 令牌 + websocket) | +| **钉钉** | 中等(应用凭证) | +| **Slack** | 中等(机器人 + 应用令牌) | +| **邮件** | 中等(IMAP/SMTP 凭证) | +| **QQ** | 简单(应用凭证) | + +
+Telegram(推荐) + +**1. 创建机器人** +- 打开 Telegram,搜索 `@BotFather` +- 发送 `/newbot`,按照提示操作 +- 复制令牌 + +**2. 配置** + +```json +{ + "channels": [ + { + "type": "telegram", + "enabled": true, + "token": "YOUR_BOT_TOKEN", + "allowFrom": ["YOUR_USER_ID"] + } + ] +} +``` + +> 您可以在 Telegram 设置中找到您的 **用户 ID**。它显示为 `@yourUserId`。 +> 复制这个值**不带 `@` 符号**并粘贴到配置文件中。 + + +**3. 运行** + +```bash +vikingbot gateway +``` + +
+ +
+Mochat (Claw IM) + +默认使用 **Socket.IO WebSocket**,并带有 HTTP 轮询回退。 + +**1. 让 vikingbot 为您设置 Mochat** + +只需向 vikingbot 发送此消息(将 `xxx@xxx` 替换为您的真实邮箱): + +``` +Read https://raw.githubusercontent.com/HKUDS/MoChat/refs/heads/main/skills/vikingbot/skill.md and register on MoChat. My Email account is xxx@xxx Bind me as your owner and DM me on MoChat. +``` + +vikingbot 将自动注册、配置 `~/.vikingbot/config.json` 并连接到 Mochat。 + +**2. 重启网关** + +```bash +vikingbot gateway +``` + +就这么简单 —— vikingbot 处理剩下的一切! + +
+ +
+手动配置(高级) + +如果您更喜欢手动配置,请将以下内容添加到 `~/.vikingbot/config.json`: + +> 请保密 `claw_token`。它只应在 `X-Claw-Token` 头中发送到您的 Mochat API 端点。 + +```json +{ + "channels": [ + { + "type": "mochat", + "enabled": true, + "base_url": "https://mochat.io", + "socket_url": "https://mochat.io", + "socket_path": "/socket.io", + "claw_token": "claw_xxx", + "agent_user_id": "6982abcdef", + "sessions": ["*"], + "panels": ["*"], + "reply_delay_mode": "non-mention", + "reply_delay_ms": 120000 + } + ] +} +``` + + +
+ +
+ +
+Discord + +**1. 创建机器人** +- 访问 https://discord.com/developers/applications +- 创建应用 → 机器人 → 添加机器人 +- 复制机器人令牌 + +**2. 启用意图** +- 在机器人设置中,启用 **MESSAGE CONTENT INTENT** +- (可选)如果您计划使用基于成员数据的允许列表,启用 **SERVER MEMBERS INTENT** + +**3. 获取您的用户 ID** +- Discord 设置 → 高级 → 启用 **开发者模式** +- 右键点击您的头像 → **复制用户 ID** + +**4. 配置** + +```json +{ + "channels": [ + { + "type": "discord", + "enabled": true, + "token": "YOUR_BOT_TOKEN", + "allowFrom": ["YOUR_USER_ID"] + } + ] +} +``` + +**5. 邀请机器人** +- OAuth2 → URL 生成器 +- 范围:`bot` +- 机器人权限:`发送消息`、`读取消息历史` +- 打开生成的邀请 URL 并将机器人添加到您的服务器 + +**6. 运行** + +```bash +vikingbot gateway +``` + +
+ +
+WhatsApp + +需要 **Node.js ≥18**。 + +**1. 链接设备** + +```bash +vikingbot channels login +# 使用 WhatsApp 扫描二维码 → 设置 → 链接设备 +``` + +**2. 配置** + +```json +{ + "channels": [ + { + "type": "whatsapp", + "enabled": true, + "allowFrom": ["+1234567890"] + } + ] +} +``` + +**3. 运行**(两个终端) + +```bash +# 终端 1 +vikingbot channels login + +# 终端 2 +vikingbot gateway +``` + +
+ +
+飞书 + +使用 **WebSocket** 长连接 —— 不需要公网 IP。 + +**1. 创建飞书机器人** +- 访问 [飞书开放平台](https://open.feishu.cn/app) +- 创建新应用 → 启用 **机器人** 功能 +- **权限**:添加 `im:message`(发送消息) +- **事件**:添加 `im.message.receive_v1`(接收消息) + - 选择 **长连接** 模式(需要先运行 vikingbot 来建立连接) +- 从「凭证与基础信息」获取 **App ID** 和 **App Secret** +- 发布应用 + +**2. 配置** + +```json +{ + "channels": [ + { + "type": "feishu", + "enabled": true, + "appId": "cli_xxx", + "appSecret": "xxx", + "encryptKey": "", + "verificationToken": "", + "allowFrom": [] + } + ] +} +``` + +> 长连接模式下,`encryptKey` 和 `verificationToken` 是可选的。 +> `allowFrom`:留空以允许所有用户,或添加 `["ou_xxx"]` 以限制访问。 + +**3. 运行** + +```bash +vikingbot gateway +``` + +> [!TIP] +> 飞书使用 WebSocket 接收消息 —— 不需要 webhook 或公网 IP! + +
+ +
+QQ(QQ单聊) + +使用 **botpy SDK** 配合 WebSocket —— 不需要公网 IP。目前仅支持 **私聊**。 + +**1. 注册并创建机器人** +- 访问 [QQ 开放平台](https://q.qq.com) → 注册为开发者(个人或企业) +- 创建新的机器人应用 +- 进入 **开发设置** → 复制 **AppID** 和 **AppSecret** + +**2. 设置沙箱测试环境** +- 在机器人管理控制台中,找到 **沙箱配置** +- 在 **在消息列表配置** 下,点击 **添加成员** 并添加您自己的 QQ 号 +- 添加完成后,用手机 QQ 扫描机器人的二维码 → 打开机器人资料卡 → 点击「发消息」开始聊天 + +**3. 配置** + +> - `allowFrom`:留空以供公开访问,或添加用户 openid 以限制。您可以在用户向机器人发消息时在 vikingbot 日志中找到 openid。 +> - 生产环境:在机器人控制台提交审核并发布。查看 [QQ 机器人文档](https://bot.q.qq.com/wiki/) 了解完整发布流程。 + +```json +{ + "channels": [ + { + "type": "qq", + "enabled": true, + "appId": "YOUR_APP_ID", + "secret": "YOUR_APP_SECRET", + "allowFrom": [] + } + ] +} +``` + +**4. 运行** + +```bash +vikingbot gateway +``` + +现在从 QQ 向机器人发送消息 —— 它应该会回复! + +
+ +
+钉钉 + +使用 **流模式** —— 不需要公网 IP。 + +**1. 创建钉钉机器人** +- 访问 [钉钉开放平台](https://open-dev.dingtalk.com/) +- 创建新应用 -> 添加 **机器人** 功能 +- **配置**: + - 打开 **流模式** +- **权限**:添加发送消息所需的权限 +- 从「凭证」获取 **AppKey**(客户端 ID)和 **AppSecret**(客户端密钥) +- 发布应用 + +**2. 配置** + +```json +{ + "channels": [ + { + "type": "dingtalk", + "enabled": true, + "clientId": "YOUR_APP_KEY", + "clientSecret": "YOUR_APP_SECRET", + "allowFrom": [] + } + ] +} +``` + +> `allowFrom`:留空以允许所有用户,或添加 `["staffId"]` 以限制访问。 + +**3. 运行** + +```bash +vikingbot gateway +``` + +
+ +
+Slack + +使用 **Socket 模式** —— 不需要公网 URL。 + +**1. 创建 Slack 应用** +- 访问 [Slack API](https://api.slack.com/apps) → **创建新应用** →「从零开始」 +- 选择名称并选择您的工作区 + +**2. 配置应用** +- **Socket 模式**:打开 → 生成一个具有 `connections:write` 范围的 **应用级令牌** → 复制它(`xapp-...`) +- **OAuth 与权限**:添加机器人范围:`chat:write`、`reactions:write`、`app_mentions:read` +- **事件订阅**:打开 → 订阅机器人事件:`message.im`、`message.channels`、`app_mention` → 保存更改 +- **应用主页**:滚动到 **显示标签页** → 启用 **消息标签页** → 勾选 **"允许用户从消息标签页发送斜杠命令和消息"** +- **安装应用**:点击 **安装到工作区** → 授权 → 复制 **机器人令牌**(`xoxb-...`) + +**3. 配置 vikingbot** + +```json +{ + "channels": [ + { + "type": "slack", + "enabled": true, + "botToken": "xoxb-...", + "appToken": "xapp-...", + "groupPolicy": "mention" + } + ] +} +``` + +**4. 运行** + +```bash +vikingbot gateway +``` + +直接向机器人发送私信或在频道中 @提及它 —— 它应该会回复! + +> [!TIP] +> - `groupPolicy`:`"mention"`(默认 —— 仅在 @提及時回复)、`"open"`(回复所有频道消息)或 `"allowlist"`(限制到特定频道)。 +> - 私信策略默认为开放。设置 `"dm": {"enabled": false}` 以禁用私信。 + +
+ +
+邮件 + +给 vikingbot 一个自己的邮箱账户。它通过 **IMAP** 轮询收件箱并通过 **SMTP** 回复 —— 就像一个个人邮件助手。 + +**1. 获取凭证(Gmail 示例)** +- 为您的机器人创建一个专用的 Gmail 账户(例如 `my-vikingbot@gmail.com`) +- 启用两步验证 → 创建 [应用密码](https://myaccount.google.com/apppasswords) +- 将此应用密码用于 IMAP 和 SMTP + +**2. 配置** + +> - `consentGranted` 必须为 `true` 以允许邮箱访问。这是一个安全门 —— 设置为 `false` 以完全禁用。 +> - `allowFrom`:留空以接受来自任何人的邮件,或限制到特定发件人。 +> - `smtpUseTls` 和 `smtpUseSsl` 分别默认为 `true` / `false`,这对 Gmail(端口 587 + STARTTLS)是正确的。无需显式设置它们。 +> - 如果您只想读取/分析邮件而不发送自动回复,请设置 `"autoReplyEnabled": false`。 + +```json +{ + "channels": [ + { + "type": "email", + "enabled": true, + "consentGranted": true, + "imapHost": "imap.gmail.com", + "imapPort": 993, + "imapUsername": "my-vikingbot@gmail.com", + "imapPassword": "your-app-password", + "smtpHost": "smtp.gmail.com", + "smtpPort": 587, + "smtpUsername": "my-vikingbot@gmail.com", + "smtpPassword": "your-app-password", + "fromAddress": "my-vikingbot@gmail.com", + "allowFrom": ["your-real-email@gmail.com"] + } + ] +} +``` + + +**3. 运行** + +```bash +vikingbot gateway +``` + +
+ +## 🌐 代理社交网络 + +🐈 vikingbot 能够链接到代理社交网络(代理社区)。**只需发送一条消息,您的 vikingbot 就会自动加入!** + +| 平台 | 如何加入(向您的机器人发送此消息) | +|----------|-------------| +| [**Moltbook**](https://www.moltbook.com/) | `Read https://moltbook.com/skill.md and follow the instructions to join Moltbook` | +| [**ClawdChat**](https://clawdchat.ai/) | `Read https://clawdchat.ai/skill.md and follow the instructions to join ClawdChat` | + +只需向您的 vikingbot 发送上述命令(通过 CLI 或任何聊天渠道),它会处理剩下的一切。 + +## ⚙️ 配置 + +配置文件:`~/.vikingbot/config.json` + +> [!IMPORTANT] +> 修改配置后(无论是通过控制台 UI 还是直接编辑文件), +> 您需要重启网关服务以使更改生效。 + +### OpenViking 配置 + +Vikingbot 支持本地和远程两种 OpenViking 模式。 + +#### 本地模式(默认) + +```json +{ + "openviking": { + "mode": "local" + } +} +``` + +数据存储在 `~/.vikingbot/ov_data/`。 + +#### 远程模式(配合火山引擎 TOS) + +```json +{ + "openviking": { + "mode": "remote", + "server_url": "https://your-openviking-server.com", + "tos_endpoint": "https://tos-cn-beijing.volces.com", + "tos_region": "cn-beijing", + "tos_bucket": "your-bucket-name", + "tos_ak": "your-access-key", + "tos_sk": "your-secret-key" + } +} +``` + +### OpenViking Agent 工具 + +Vikingbot 提供 7 个专用的 OpenViking 工具: + +| 工具名称 | 描述 | +|----------|------| +| `openviking_read` | 读取 OpenViking 资源(支持 abstract/overview/read 三级) | +| `openviking_list` | 列出 OpenViking 资源 | +| `openviking_search` | 语义搜索 OpenViking 资源 | +| `openviking_add_resource` | 添加本地文件为 OpenViking 资源 | +| `openviking_grep` | 使用正则表达式搜索 OpenViking 资源 | +| `openviking_glob` | 使用 glob 模式匹配 OpenViking 资源 | +| `user_memory_search` | 搜索 OpenViking 用户记忆 | + +### OpenViking 钩子 + +Vikingbot 默认启用 OpenViking 钩子: + +```json +{ + "hooks": ["vikingbot.hooks.builtins.openviking_hooks.hooks"] +} +``` + +| 钩子 | 功能 | +|------|------| +| `OpenVikingCompactHook` | 会话消息自动提交到 OpenViking | +| `OpenVikingPostCallHook` | 工具调用后钩子(测试用途) | + +### 手动配置(高级) + +如果您更喜欢直接编辑配置文件而不是使用控制台 UI: + +```json +{ + "providers": { + "openai": { + "apiKey": "sk-xxx" + } + }, + "agents": { + "defaults": { + "model": "openai/doubao-seed-2-0-pro-260215" + } + } +} +``` + +### 提供商 + +> [!TIP] +> - **Groq** 通过 Whisper 提供免费的语音转录。如果已配置,Telegram 语音消息将自动转录。 +> - **智谱编码计划**:如果您使用智谱的编码计划,请在您的 zhipu 提供商配置中设置 `"apiBase": "https://open.bigmodel.cn/api/coding/paas/v4"`。 +> - **MiniMax(中国大陆)**:如果您的 API 密钥来自 MiniMax 的中国大陆平台(minimaxi.com),请在您的 minimax 提供商配置中设置 `"apiBase": "https://api.minimaxi.com/v1"`。 + +| 提供商 | 用途 | 获取 API 密钥 | +|----------|---------|-------------| +| `openrouter` | LLM(推荐,可访问所有模型) | [openrouter.ai](https://openrouter.ai) | +| `anthropic` | LLM(Claude 直连) | [console.anthropic.com](https://console.anthropic.com) | +| `openai` | LLM(GPT 直连) | [platform.openai.com](https://platform.openai.com) | +| `deepseek` | LLM(DeepSeek 直连) | [platform.deepseek.com](https://platform.deepseek.com) | +| `groq` | LLM + **语音转录**(Whisper) | [console.groq.com](https://console.groq.com) | +| `gemini` | LLM(Gemini 直连) | [aistudio.google.com](https://aistudio.google.com) | +| `minimax` | LLM(MiniMax 直连) | [platform.minimax.io](https://platform.minimax.io) | +| `aihubmix` | LLM(API 网关,可访问所有模型) | [aihubmix.com](https://aihubmix.com) | +| `dashscope` | LLM(通义千问) | [dashscope.console.aliyun.com](https://dashscope.console.aliyun.com) | +| `moonshot` | LLM(月之暗面/Kimi) | [platform.moonshot.cn](https://platform.moonshot.cn) | +| `zhipu` | LLM(智谱 GLM) | [open.bigmodel.cn](https://open.bigmodel.cn) | +| `vllm` | LLM(本地,任何 OpenAI 兼容服务器) | — | + +
+添加新提供商(开发者指南) + +vikingbot 使用 **提供商注册表**(`vikingbot/providers/registry.py`)作为事实的单一来源。 +添加新提供商只需 **2 步** —— 无需触及 if-elif 链。 + +**步骤 1.** 在 `vikingbot/providers/registry.py` 的 `PROVIDERS` 中添加一个 `ProviderSpec` 条目: + +```python +ProviderSpec( + name="myprovider", # 配置字段名称 + keywords=("myprovider", "mymodel"), # 用于自动匹配的模型名称关键词 + env_key="MYPROVIDER_API_KEY", # LiteLLM 的环境变量 + display_name="My Provider", # 在 `vikingbot status` 中显示 + litellm_prefix="myprovider", # 自动前缀:模型 → myprovider/model + skip_prefixes=("myprovider/",), # 不要双重前缀 +) +``` + +**步骤 2.** 在 `vikingbot/config/schema.py` 的 `ProvidersConfig` 中添加一个字段: + +```python +class ProvidersConfig(BaseModel): + ... + myprovider: ProviderConfig = ProviderConfig() +``` + +就这么简单!环境变量、模型前缀、配置匹配和 `vikingbot status` 显示都将自动工作。 + +**常见的 `ProviderSpec` 选项:** + +| 字段 | 描述 | 示例 | +|-------|-------------|---------| +| `litellm_prefix` | 为 LiteLLM 自动前缀模型名称 | `"dashscope"` → `dashscope/qwen-max` | +| `skip_prefixes` | 如果模型已经以这些开头,则不要前缀 | `("dashscope/", "openrouter/")` | +| `env_extras` | 要设置的额外环境变量 | `(("ZHIPUAI_API_KEY", "{api_key}"),)` | +| `model_overrides` | 每模型参数覆盖 | `(("kimi-k2.5", {"temperature": 1.0}),)` | +| `is_gateway` | 可以路由任何模型(如 OpenRouter) | `True` | +| `detect_by_key_prefix` | 通过 API 密钥前缀检测网关 | `"sk-or-"` | +| `detect_by_base_keyword` | 通过 API 基础 URL 检测网关 | `"openrouter"` | +| `strip_model_prefix` | 在重新前缀之前去除现有前缀 | `True`(对于 AiHubMix) | + +
+ + +### 安全 + +| 选项 | 默认值 | 描述 | +|--------|---------|-------------| +| `tools.restrictToWorkspace` | `true` | 当为 `true` 时,将**所有**代理工具(shell、文件读/写/编辑、列表)限制到工作区目录。防止路径遍历和范围外访问。 | +| `channels.*.allowFrom` | `[]`(允许所有) | 用户 ID 白名单。空 = 允许所有人;非空 = 只有列出的用户可以交互。 | + +### 沙箱 + +vikingbot 支持沙箱执行以增强安全性。默认情况下,沙箱是禁用的。要在会话模式下使用 SRT 后端启用沙箱,请设置 `"enabled": true`。 + +
+沙箱配置(SRT 后端) + +```json +{ + "sandbox": { + "enabled": false, + "backend": "srt", + "mode": "per-session", + "network": { + "allowedDomains": [], + "deniedDomains": [], + "allowLocalBinding": false + }, + "filesystem": { + "denyRead": [], + "allowWrite": [], + "denyWrite": [] + }, + "runtime": { + "cleanupOnExit": true, + "timeout": 300 + }, + "backends": { + "srt": { + "nodePath": "node" + } + } + } +} +``` + +**配置选项:** + +| 选项 | 默认值 | 描述 | +|--------|---------|-------------| +| `enabled` | `false` | 启用沙箱执行 | +| `backend` | `"srt"` | 沙箱后端:`srt` 或 `docker` | +| `mode` | `"per-session"` | 沙箱模式:`per-session`(每个会话隔离)或 `shared`(跨会话共享) | +| `network.allowedDomains` | `[]` | 允许网络访问的域列表(空 = 允许所有) | +| `network.deniedDomains` | `[]` | 拒绝的域列表(无论允许列表如何都被阻止) | +| `network.allowLocalBinding` | `false` | 允许绑定到本地地址(localhost、127.0.0.1) | +| `filesystem.denyRead` | `[]` | 拒绝读取访问的路径/文件 | +| `filesystem.allowWrite` | `[]` | 明确允许写入访问的路径/文件 | +| `filesystem.denyWrite` | `[]` | 拒绝写入访问的路径/文件 | +| `runtime.cleanupOnExit` | `true` | 退出时清理沙箱资源 | +| `runtime.timeout` | `300` | 命令执行超时(秒) | +| `backends.srt.nodePath` | `"/usr/local/bin/node"` | Node.js 可执行文件的路径(如果 `node` 不在 PATH 中,请使用完整路径) | + +**SRT 后端设置:** + +SRT 后端使用 `@anthropic-ai/sandbox-runtime`。当您运行 `vikingbot onboard` 时它会自动安装。 + +**系统依赖:** + +SRT 后端还需要安装这些系统包: +- `ripgrep` (rg) - 用于文本搜索 +- `bubblewrap` (bwrap) - 用于沙箱隔离 +- `socat` - 用于网络代理 + +**在 macOS 上安装:** +```bash +brew install ripgrep bubblewrap socat +``` + +**在 Ubuntu/Debian 上安装:** +```bash +sudo apt-get install -y ripgrep bubblewrap socat +``` + +**在 Fedora/CentOS 上安装:** +```bash +sudo dnf install -y ripgrep bubblewrap socat +``` + +验证安装: + +```bash +npm list -g @anthropic-ai/sandbox-runtime +``` + +如果未安装,请手动安装: + +```bash +npm install -g @anthropic-ai/sandbox-runtime +``` + +**Node.js 路径配置:** + +如果在 PATH 中找不到 `node` 命令,请在您的配置中指定完整路径: + +```json +{ + "sandbox": { + "backends": { + "srt": { + "nodePath": "/usr/local/bin/node" + } + } + } +} +``` + +查找您的 Node.js 路径: + +```bash +which node +# 或 +which nodejs +``` + +
+ + +## CLI 参考 + +| 命令 | 描述 | +|---------|-------------| +| `vikingbot agent -m "..."` | 与代理聊天 | +| `vikingbot agent` | 交互式聊天模式 | +| `vikingbot agent --no-markdown` | 显示纯文本回复 | +| `vikingbot agent --logs` | 聊天期间显示运行时日志 | +| `vikingbot tui` | 启动 TUI(终端用户界面) | +| `vikingbot gateway` | 启动网关和控制台 Web UI | +| `vikingbot status` | 显示状态 | +| `vikingbot channels login` | 链接 WhatsApp(扫描二维码) | +| `vikingbot channels status` | 显示渠道状态 | + +## 🖥️ 控制台 Web UI + +当您运行 `vikingbot gateway` 时,控制台 Web UI 会自动启动,可通过 http://localhost:18791 访问。 + +**功能:** +- **仪表板**:系统状态和会话的快速概览 +- **配置**:在用户友好的界面中配置提供商、代理、渠道和工具 + - 基于表单的编辑器,便于配置 + - 为高级用户提供的 JSON 编辑器 +- **会话**:查看和管理聊天会话 +- **工作区**:浏览和编辑工作区目录中的文件 + +> [!IMPORTANT] +> 在控制台中保存配置更改后,您需要重启网关服务以使更改生效。 + +交互模式退出:`exit`、`quit`、`/exit`、`/quit`、`:q` 或 `Ctrl+D`。 + +
+TUI(终端用户界面) + +启动 vikingbot TUI 以获得丰富的基于终端的聊天体验: + +```bash +vikingbot tui +``` + +TUI 提供: +- 支持 markdown 的富文本渲染 +- 消息历史和对话管理 +- 实时代理响应 +- 导航的键盘快捷键 + +
+ +
+定时任务(Cron) + +```bash +# 添加任务 +vikingbot cron add --name "daily" --message "Good morning!" --cron "0 9 * * *" +vikingbot cron add --name "hourly" --message "Check status" --every 3600 + +# 列出任务 +vikingbot cron list + +# 移除任务 +vikingbot cron remove +``` + +
+ diff --git a/bot/SECURITY.md b/bot/SECURITY.md new file mode 100644 index 00000000..f1aea7ab --- /dev/null +++ b/bot/SECURITY.md @@ -0,0 +1,264 @@ +# Security Policy + +## Reporting a Vulnerability + +If you discover a security vulnerability in vikingbot, please report it by: + +1. **DO NOT** open a public GitHub issue +2. Create a private security advisory on GitHub or contact the repository maintainers +3. Include: + - Description of the vulnerability + - Steps to reproduce + - Potential impact + - Suggested fix (if any) + +We aim to respond to security reports within 48 hours. + +## Security Best Practices + +### 1. API Key Management + +**CRITICAL**: Never commit API keys to version control. + +```bash +# ✅ Good: Store in config file with restricted permissions +chmod 600 ~/.vikingbot/config.json + +# ❌ Bad: Hardcoding keys in code or committing them +``` + +**Recommendations:** +- Store API keys in `~/.vikingbot/config.json` with file permissions set to `0600` +- Consider using environment variables for sensitive keys +- Use OS keyring/credential manager for production deployments +- Rotate API keys regularly +- Use separate API keys for development and production + +### 2. Channel Access Control + +**IMPORTANT**: Always configure `allowFrom` lists for production use. + +```json +{ + "channels": { + "telegram": { + "enabled": true, + "token": "YOUR_BOT_TOKEN", + "allowFrom": ["123456789", "987654321"] + }, + "whatsapp": { + "enabled": true, + "allowFrom": ["+1234567890"] + } + } +} +``` + +**Security Notes:** +- Empty `allowFrom` list will **ALLOW ALL** users (open by default for personal use) +- Get your Telegram user ID from `@userinfobot` +- Use full phone numbers with country code for WhatsApp +- Review access logs regularly for unauthorized access attempts + +### 3. Shell Command Execution + +The `exec` tool can execute shell commands. While dangerous command patterns are blocked, you should: + +- ✅ Review all tool usage in agent logs +- ✅ Understand what commands the agent is running +- ✅ Use a dedicated user account with limited privileges +- ✅ Never run vikingbot as root +- ❌ Don't disable security checks +- ❌ Don't run on systems with sensitive data without careful review + +**Blocked patterns:** +- `rm -rf /` - Root filesystem deletion +- Fork bombs +- Filesystem formatting (`mkfs.*`) +- Raw disk writes +- Other destructive operations + +### 4. File System Access + +File operations have path traversal protection, but: + +- ✅ Run vikingbot with a dedicated user account +- ✅ Use filesystem permissions to protect sensitive directories +- ✅ Regularly audit file operations in logs +- ❌ Don't give unrestricted access to sensitive files + +### 5. Network Security + +**API Calls:** +- All external API calls use HTTPS by default +- Timeouts are configured to prevent hanging requests +- Consider using a firewall to restrict outbound connections if needed + +**WhatsApp Bridge:** +- The bridge binds to `127.0.0.1:3001` (localhost only, not accessible from external network) +- Set `bridgeToken` in config to enable shared-secret authentication between Python and Node.js +- Keep authentication data in `~/.vikingbot/whatsapp-auth` secure (mode 0700) + +### 6. Dependency Security + +**Critical**: Keep dependencies updated! + +```bash +# Check for vulnerable dependencies +pip install pip-audit +pip-audit + +# Update to latest secure versions +pip install --upgrade vikingbot-ai +``` + +For Node.js dependencies (WhatsApp bridge): +```bash +cd bridge +npm audit +npm audit fix +``` + +**Important Notes:** +- Keep `litellm` updated to the latest version for security fixes +- We've updated `ws` to `>=8.17.1` to fix DoS vulnerability +- Run `pip-audit` or `npm audit` regularly +- Subscribe to security advisories for vikingbot and its dependencies + +### 7. Production Deployment + +For production use: + +1. **Isolate the Environment** + ```bash + # Run in a container or VM + docker run --rm -it python:3.11 + pip install vikingbot-ai + ``` + +2. **Use a Dedicated User** + ```bash + sudo useradd -m -s /bin/bash vikingbot + sudo -u vikingbot vikingbot gateway + ``` + +3. **Set Proper Permissions** + ```bash + chmod 700 ~/.vikingbot + chmod 600 ~/.vikingbot/config.json + chmod 700 ~/.vikingbot/whatsapp-auth + ``` + +4. **Enable Logging** + ```bash + # Configure log monitoring + tail -f ~/.vikingbot/logs/vikingbot.log + ``` + +5. **Use Rate Limiting** + - Configure rate limits on your API providers + - Monitor usage for anomalies + - Set spending limits on LLM APIs + +6. **Regular Updates** + ```bash + # Check for updates weekly + pip install --upgrade vikingbot-ai + ``` + +### 8. Development vs Production + +**Development:** +- Use separate API keys +- Test with non-sensitive data +- Enable verbose logging +- Use a test Telegram bot + +**Production:** +- Use dedicated API keys with spending limits +- Restrict file system access +- Enable audit logging +- Regular security reviews +- Monitor for unusual activity + +### 9. Data Privacy + +- **Logs may contain sensitive information** - secure log files appropriately +- **LLM providers see your prompts** - review their privacy policies +- **Chat history is stored locally** - protect the `~/.vikingbot` directory +- **API keys are in plain text** - use OS keyring for production + +### 10. Incident Response + +If you suspect a security breach: + +1. **Immediately revoke compromised API keys** +2. **Review logs for unauthorized access** + ```bash + grep "Access denied" ~/.vikingbot/logs/vikingbot.log + ``` +3. **Check for unexpected file modifications** +4. **Rotate all credentials** +5. **Update to latest version** +6. **Report the incident** to maintainers + +## Security Features + +### Built-in Security Controls + +✅ **Input Validation** +- Path traversal protection on file operations +- Dangerous command pattern detection +- Input length limits on HTTP requests + +✅ **Authentication** +- Allow-list based access control +- Failed authentication attempt logging +- Open by default (configure allowFrom for production use) + +✅ **Resource Protection** +- Command execution timeouts (60s default) +- Output truncation (10KB limit) +- HTTP request timeouts (10-30s) + +✅ **Secure Communication** +- HTTPS for all external API calls +- TLS for Telegram API +- WhatsApp bridge: localhost-only binding + optional token auth + +## Known Limitations + +⚠️ **Current Security Limitations:** + +1. **No Rate Limiting** - Users can send unlimited messages (add your own if needed) +2. **Plain Text Config** - API keys stored in plain text (use keyring for production) +3. **No Session Management** - No automatic session expiry +4. **Limited Command Filtering** - Only blocks obvious dangerous patterns +5. **No Audit Trail** - Limited security event logging (enhance as needed) + +## Security Checklist + +Before deploying vikingbot: + +- [ ] API keys stored securely (not in code) +- [ ] Config file permissions set to 0600 +- [ ] `allowFrom` lists configured for all channels +- [ ] Running as non-root user +- [ ] File system permissions properly restricted +- [ ] Dependencies updated to latest secure versions +- [ ] Logs monitored for security events +- [ ] Rate limits configured on API providers +- [ ] Backup and disaster recovery plan in place +- [ ] Security review of custom skills/tools + +## Updates + +**Last Updated**: 2026-02-03 + +For the latest security updates and announcements, check: +- GitHub Security Advisories: https://github.com/HKUDS/vikingbot/security/advisories +- Release Notes: https://github.com/HKUDS/vikingbot/releases + +## License + +See LICENSE file for details. diff --git a/bot/bridge/package.json b/bot/bridge/package.json new file mode 100644 index 00000000..9134f11a --- /dev/null +++ b/bot/bridge/package.json @@ -0,0 +1,26 @@ +{ + "name": "vikingbot-whatsapp-bridge", + "version": "0.1.0", + "description": "WhatsApp bridge for vikingbot using Baileys", + "type": "module", + "main": "dist/index.js", + "scripts": { + "build": "tsc", + "start": "node dist/index.js", + "dev": "tsc && node dist/index.js" + }, + "dependencies": { + "@whiskeysockets/baileys": "7.0.0-rc.9", + "ws": "^8.17.1", + "qrcode-terminal": "^0.12.0", + "pino": "^9.0.0" + }, + "devDependencies": { + "@types/node": "^20.14.0", + "@types/ws": "^8.5.10", + "typescript": "^5.4.0" + }, + "engines": { + "node": ">=20.0.0" + } +} diff --git a/bot/bridge/src/index.ts b/bot/bridge/src/index.ts new file mode 100644 index 00000000..65f6dc78 --- /dev/null +++ b/bot/bridge/src/index.ts @@ -0,0 +1,51 @@ +#!/usr/bin/env node +/** + * vikingbot WhatsApp Bridge + * + * This bridge connects WhatsApp Web to vikingbot's Python backend + * via WebSocket. It handles authentication, message forwarding, + * and reconnection logic. + * + * Usage: + * npm run build && npm start + * + * Or with custom settings: + * BRIDGE_PORT=3001 AUTH_DIR=~/.vikingbot/whatsapp npm start + */ + +// Polyfill crypto for Baileys in ESM +import { webcrypto } from 'crypto'; +if (!globalThis.crypto) { + (globalThis as any).crypto = webcrypto; +} + +import { BridgeServer } from './server.js'; +import { homedir } from 'os'; +import { join } from 'path'; + +const PORT = parseInt(process.env.BRIDGE_PORT || '3001', 10); +const AUTH_DIR = process.env.AUTH_DIR || join(homedir(), '.vikingbot', 'whatsapp-auth'); +const TOKEN = process.env.BRIDGE_TOKEN || undefined; + +console.log('🐈 vikingbot WhatsApp Bridge'); +console.log('========================\n'); + +const server = new BridgeServer(PORT, AUTH_DIR, TOKEN); + +// Handle graceful shutdown +process.on('SIGINT', async () => { + console.log('\n\nShutting down...'); + await server.stop(); + process.exit(0); +}); + +process.on('SIGTERM', async () => { + await server.stop(); + process.exit(0); +}); + +// Start the server +server.start().catch((error) => { + console.error('Failed to start bridge:', error); + process.exit(1); +}); diff --git a/bot/bridge/src/server.ts b/bot/bridge/src/server.ts new file mode 100644 index 00000000..7d48f5e1 --- /dev/null +++ b/bot/bridge/src/server.ts @@ -0,0 +1,129 @@ +/** + * WebSocket server for Python-Node.js bridge communication. + * Security: binds to 127.0.0.1 only; optional BRIDGE_TOKEN auth. + */ + +import { WebSocketServer, WebSocket } from 'ws'; +import { WhatsAppClient, InboundMessage } from './whatsapp.js'; + +interface SendCommand { + type: 'send'; + to: string; + text: string; +} + +interface BridgeMessage { + type: 'message' | 'status' | 'qr' | 'error'; + [key: string]: unknown; +} + +export class BridgeServer { + private wss: WebSocketServer | null = null; + private wa: WhatsAppClient | null = null; + private clients: Set = new Set(); + + constructor(private port: number, private authDir: string, private token?: string) {} + + async start(): Promise { + // Bind to localhost only — never expose to external network + this.wss = new WebSocketServer({ host: '127.0.0.1', port: this.port }); + console.log(`🌉 Bridge server listening on ws://127.0.0.1:${this.port}`); + if (this.token) console.log('🔒 Token authentication enabled'); + + // Initialize WhatsApp client + this.wa = new WhatsAppClient({ + authDir: this.authDir, + onMessage: (msg) => this.broadcast({ type: 'message', ...msg }), + onQR: (qr) => this.broadcast({ type: 'qr', qr }), + onStatus: (status) => this.broadcast({ type: 'status', status }), + }); + + // Handle WebSocket connections + this.wss.on('connection', (ws) => { + if (this.token) { + // Require auth handshake as first message + const timeout = setTimeout(() => ws.close(4001, 'Auth timeout'), 5000); + ws.once('message', (data) => { + clearTimeout(timeout); + try { + const msg = JSON.parse(data.toString()); + if (msg.type === 'auth' && msg.token === this.token) { + console.log('🔗 Python client authenticated'); + this.setupClient(ws); + } else { + ws.close(4003, 'Invalid token'); + } + } catch { + ws.close(4003, 'Invalid auth message'); + } + }); + } else { + console.log('🔗 Python client connected'); + this.setupClient(ws); + } + }); + + // Connect to WhatsApp + await this.wa.connect(); + } + + private setupClient(ws: WebSocket): void { + this.clients.add(ws); + + ws.on('message', async (data) => { + try { + const cmd = JSON.parse(data.toString()) as SendCommand; + await this.handleCommand(cmd); + ws.send(JSON.stringify({ type: 'sent', to: cmd.to })); + } catch (error) { + console.error('Error handling command:', error); + ws.send(JSON.stringify({ type: 'error', error: String(error) })); + } + }); + + ws.on('close', () => { + console.log('🔌 Python client disconnected'); + this.clients.delete(ws); + }); + + ws.on('error', (error) => { + console.error('WebSocket error:', error); + this.clients.delete(ws); + }); + } + + private async handleCommand(cmd: SendCommand): Promise { + if (cmd.type === 'send' && this.wa) { + await this.wa.sendMessage(cmd.to, cmd.text); + } + } + + private broadcast(msg: BridgeMessage): void { + const data = JSON.stringify(msg); + for (const client of this.clients) { + if (client.readyState === WebSocket.OPEN) { + client.send(data); + } + } + } + + async stop(): Promise { + // Close all client connections + for (const client of this.clients) { + client.close(); + } + this.clients.clear(); + + // Close WebSocket server + if (this.wss) { + this.wss.close(); + this.wss = null; + } + + // Disconnect WhatsApp + if (this.wa) { + await this.wa.disconnect(); + this.wa = null; + } + } +} diff --git a/bot/bridge/src/types.d.ts b/bot/bridge/src/types.d.ts new file mode 100644 index 00000000..3aeb18be --- /dev/null +++ b/bot/bridge/src/types.d.ts @@ -0,0 +1,3 @@ +declare module 'qrcode-terminal' { + export function generate(text: string, options?: { small?: boolean }): void; +} diff --git a/bot/bridge/src/whatsapp.ts b/bot/bridge/src/whatsapp.ts new file mode 100644 index 00000000..632386ac --- /dev/null +++ b/bot/bridge/src/whatsapp.ts @@ -0,0 +1,187 @@ +/** + * WhatsApp client wrapper using Baileys. + * Based on OpenClaw's working implementation. + */ + +/* eslint-disable @typescript-eslint/no-explicit-any */ +import makeWASocket, { + DisconnectReason, + useMultiFileAuthState, + fetchLatestBaileysVersion, + makeCacheableSignalKeyStore, +} from '@whiskeysockets/baileys'; + +import { Boom } from '@hapi/boom'; +import qrcode from 'qrcode-terminal'; +import pino from 'pino'; + +const VERSION = '0.1.0'; + +export interface InboundMessage { + id: string; + sender: string; + pn: string; + content: string; + timestamp: number; + isGroup: boolean; +} + +export interface WhatsAppClientOptions { + authDir: string; + onMessage: (msg: InboundMessage) => void; + onQR: (qr: string) => void; + onStatus: (status: string) => void; +} + +export class WhatsAppClient { + private sock: any = null; + private options: WhatsAppClientOptions; + private reconnecting = false; + + constructor(options: WhatsAppClientOptions) { + this.options = options; + } + + async connect(): Promise { + const logger = pino({ level: 'silent' }); + const { state, saveCreds } = await useMultiFileAuthState(this.options.authDir); + const { version } = await fetchLatestBaileysVersion(); + + console.log(`Using Baileys version: ${version.join('.')}`); + + // Create socket following OpenClaw's pattern + this.sock = makeWASocket({ + auth: { + creds: state.creds, + keys: makeCacheableSignalKeyStore(state.keys, logger), + }, + version, + logger, + printQRInTerminal: false, + browser: ['vikingbot', 'cli', VERSION], + syncFullHistory: false, + markOnlineOnConnect: false, + }); + + // Handle WebSocket errors + if (this.sock.ws && typeof this.sock.ws.on === 'function') { + this.sock.ws.on('error', (err: Error) => { + console.error('WebSocket error:', err.message); + }); + } + + // Handle connection updates + this.sock.ev.on('connection.update', async (update: any) => { + const { connection, lastDisconnect, qr } = update; + + if (qr) { + // Display QR code in terminal + console.log('\n📱 Scan this QR code with WhatsApp (Linked Devices):\n'); + qrcode.generate(qr, { small: true }); + this.options.onQR(qr); + } + + if (connection === 'close') { + const statusCode = (lastDisconnect?.error as Boom)?.output?.statusCode; + const shouldReconnect = statusCode !== DisconnectReason.loggedOut; + + console.log(`Connection closed. Status: ${statusCode}, Will reconnect: ${shouldReconnect}`); + this.options.onStatus('disconnected'); + + if (shouldReconnect && !this.reconnecting) { + this.reconnecting = true; + console.log('Reconnecting in 5 seconds...'); + setTimeout(() => { + this.reconnecting = false; + this.connect(); + }, 5000); + } + } else if (connection === 'open') { + console.log('✅ Connected to WhatsApp'); + this.options.onStatus('connected'); + } + }); + + // Save credentials on update + this.sock.ev.on('creds.update', saveCreds); + + // Handle incoming messages + this.sock.ev.on('messages.upsert', async ({ messages, type }: { messages: any[]; type: string }) => { + if (type !== 'notify') return; + + for (const msg of messages) { + // Skip own messages + if (msg.key.fromMe) continue; + + // Skip status updates + if (msg.key.remoteJid === 'status@broadcast') continue; + + const content = this.extractMessageContent(msg); + if (!content) continue; + + const isGroup = msg.key.remoteJid?.endsWith('@g.us') || false; + + this.options.onMessage({ + id: msg.key.id || '', + sender: msg.key.remoteJid || '', + pn: msg.key.remoteJidAlt || '', + content, + timestamp: msg.messageTimestamp as number, + isGroup, + }); + } + }); + } + + private extractMessageContent(msg: any): string | null { + const message = msg.message; + if (!message) return null; + + // Text message + if (message.conversation) { + return message.conversation; + } + + // Extended text (reply, link preview) + if (message.extendedTextMessage?.text) { + return message.extendedTextMessage.text; + } + + // Image with caption + if (message.imageMessage?.caption) { + return `[Image] ${message.imageMessage.caption}`; + } + + // Video with caption + if (message.videoMessage?.caption) { + return `[Video] ${message.videoMessage.caption}`; + } + + // Document with caption + if (message.documentMessage?.caption) { + return `[Document] ${message.documentMessage.caption}`; + } + + // Voice/Audio message + if (message.audioMessage) { + return `[Voice Message]`; + } + + return null; + } + + async sendMessage(to: string, text: string): Promise { + if (!this.sock) { + throw new Error('Not connected'); + } + + await this.sock.sendMessage(to, { text }); + } + + async disconnect(): Promise { + if (this.sock) { + this.sock.end(undefined); + this.sock = null; + } + } +} diff --git a/bot/bridge/tsconfig.json b/bot/bridge/tsconfig.json new file mode 100644 index 00000000..7f472b2c --- /dev/null +++ b/bot/bridge/tsconfig.json @@ -0,0 +1,16 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "ESNext", + "moduleResolution": "node", + "esModuleInterop": true, + "strict": true, + "skipLibCheck": true, + "outDir": "./dist", + "rootDir": "./src", + "declaration": true, + "resolveJsonModule": true + }, + "include": ["src/**/*"], + "exclude": ["node_modules", "dist"] +} diff --git a/bot/deploy/Dockerfile b/bot/deploy/Dockerfile new file mode 100644 index 00000000..0120d010 --- /dev/null +++ b/bot/deploy/Dockerfile @@ -0,0 +1,83 @@ +FROM python:3.13-slim-bookworm + +# Install base tools, Node.js 20, and uv +RUN apt-get update && \ + apt-get install -y --no-install-recommends curl ca-certificates gnupg git ripgrep bubblewrap socat libfuse2 build-essential && \ + # Add NodeSource repository for Node.js 20 (new setup script, old node_20.x URL is deprecated) + curl -fsSL https://deb.nodesource.com/setup_20.x | bash - && \ + apt-get install -y --no-install-recommends nodejs && \ + # Install uv + curl -LsSf https://astral.sh/uv/install.sh | sh && \ + # Clean up + apt-get clean && \ + rm -rf /var/lib/apt/lists/* + +# Make uv available in PATH +ENV PATH="/root/.local/bin:$PATH" +# Allow pip to install system-wide +ENV PIP_BREAK_SYSTEM_PACKAGES=1 + +WORKDIR /app + +# ============================================ +# Layer 1: Install dependencies (cached) +# ============================================ + +# Copy Python package file +COPY pyproject.toml ./ + +# Create empty vikingbot directory (required for install, will be overwritten later) +RUN mkdir -p vikingbot + +# Copy bridge package files +COPY bridge/package*.json ./bridge/ + +# Install Python dependencies - use pip install for openviking (no local build) +ENV UV_HTTP_TIMEOUT=300 +RUN uv pip install --system --no-cache "openviking>=0.1.18" && \ + uv pip install --system --no-cache . + +# Install global npm packages for sandbox +RUN npm install -g @anthropic-ai/sandbox-runtime + +# ============================================ +# Layer 2: Copy source code and build +# ============================================ + +# Copy actual source code (overwrites empty directory) +COPY vikingbot/ vikingbot/ + +# Copy remaining project files +COPY README.md ./ +COPY license/LICENSE ./LICENSE +COPY bridge/ bridge/ + +# Reinstall project package with actual source code +RUN uv pip install --system --no-cache . + +# Build WhatsApp bridge +WORKDIR /app/bridge +RUN npm install && npm run build +WORKDIR /app + +# Create necessary directories +RUN mkdir -p /root/.vikingbot /root/.vikingbot/workspace /root/.vikingbot/sandboxes /root/.vikingbot/bridge + +# Pre-build bridge to correct location +RUN cp -r /app/bridge/* /root/.vikingbot/bridge/ && \ + cd /root/.vikingbot/bridge && \ + npm install --omit=dev + +# Console port (health check and web UI) +EXPOSE 18791 + +# Environment variables +ENV PYTHONUNBUFFERED=1 +ENV NODE_ENV=production +ENV OPENVIKING_CONFIG_FILE=/root/.vikingbot/ov.conf + +# Set working directory +WORKDIR /app + +ENTRYPOINT ["vikingbot"] +CMD ["status"] diff --git a/bot/deploy/docker/Dockerfile b/bot/deploy/docker/Dockerfile new file mode 100644 index 00000000..f39da4f7 --- /dev/null +++ b/bot/deploy/docker/Dockerfile @@ -0,0 +1,77 @@ +# Vikingbot 本地部署专用 Dockerfile +# 固定 linux/amd64(openviking 无 linux/aarch64 wheel) + +FROM python:3.13-slim-bookworm + +# Install system dependencies + Node.js 20 via NodeSource (npm/npx 自带,无需多阶段复制) +RUN apt-get update && \ + apt-get install -y --no-install-recommends curl ca-certificates git ripgrep bubblewrap socat libfuse2 build-essential gnupg && \ + curl -fsSL https://deb.nodesource.com/setup_20.x | bash - && \ + apt-get install -y nodejs && \ + curl -LsSf https://astral.sh/uv/install.sh | sh && \ + apt-get clean && \ + rm -rf /var/lib/apt/lists/* + +ENV PATH="/root/.local/bin:$PATH" +ENV PIP_BREAK_SYSTEM_PACKAGES=1 +ENV UV_HTTP_TIMEOUT=300 + +WORKDIR /app + +# ============================================ +# Layer 1: Install Python dependencies (cached) +# ============================================ +COPY pyproject.toml ./ +RUN mkdir -p vikingbot + +# Pre-install openviking from pip (linux/amd64 has pre-built wheel) +RUN uv pip install --system --no-cache "openviking>=0.1.18" + +# Install npm sandbox runtime +RUN npm install -g @anthropic-ai/sandbox-runtime + +# ============================================ +# Layer 2: Install bridge npm deps (cached) +# ============================================ +COPY bridge/package*.json ./bridge/ +RUN cd bridge && npm install + +# ============================================ +# Layer 3: Copy source and install package +# ============================================ +COPY vikingbot/ vikingbot/ +COPY README.md ./ +COPY license/LICENSE ./LICENSE +COPY bridge/ bridge/ + +# Install local vikingbot-ai package +RUN uv pip install --system --no-cache . + +# Build WhatsApp bridge TypeScript +RUN cd bridge && npm run build + +# ============================================ +# Layer 4: Pre-build bridge to /opt (NOT inside ~/.vikingbot) +# The entrypoint will copy these to the mounted volume on first start +# ============================================ +RUN mkdir -p /opt/vikingbot-bridge && \ + cp -r /app/bridge/. /opt/vikingbot-bridge/ && \ + cd /opt/vikingbot-bridge && \ + npm install --omit=dev + +# Create placeholder ~/.vikingbot (will be overridden by host volume mount) +RUN mkdir -p /root/.vikingbot/workspace /root/.vikingbot/sessions /root/.vikingbot/sandboxes /root/.vikingbot/bridge + +# Entrypoint: initializes bridge on first run when volume is mounted +COPY deploy/docker/docker-entrypoint.sh /usr/local/bin/docker-entrypoint.sh +RUN chmod +x /usr/local/bin/docker-entrypoint.sh + +EXPOSE 18791 + +ENV PYTHONUNBUFFERED=1 +ENV NODE_ENV=production +ENV OPENVIKING_CONFIG_FILE=/root/.vikingbot/ov.conf +WORKDIR /app + +ENTRYPOINT ["docker-entrypoint.sh"] +CMD ["gateway"] diff --git a/bot/deploy/docker/README.md b/bot/deploy/docker/README.md new file mode 100644 index 00000000..2864aece --- /dev/null +++ b/bot/deploy/docker/README.md @@ -0,0 +1,326 @@ +# Vikingbot Docker 一键部署 + +本目录提供 Vikingbot 的 Docker 一键部署脚本,支持本地快速部署和多架构支持。 + +## 前置要求 + +请先安装 Docker: + +- **macOS**: 下载 [Docker Desktop](https://www.docker.com/products/docker-desktop) +- **Windows**: 下载 [Docker Desktop](https://www.docker.com/products/docker-desktop) +- **Linux**: 参考 [Docker 官方文档](https://docs.docker.com/engine/install/) + +验证 Docker 安装: +```bash +docker --version +``` + +## 快速开始 + +### 从火山引擎镜像部署(推荐) + +如果你已经有推送到火山引擎镜像仓库的镜像,可以直接拉取并部署: + +```bash +# 1. 创建必要的目录结构 +mkdir -p ~/.vikingbot/ + +# 2. 启动容器 +docker run -d \ + --name vikingbot \ + --restart unless-stopped \ + --platform linux/amd64 \ + -v ~/.vikingbot:/root/.vikingbot \ + -p 18791:18791 \ + vikingbot-cn-beijing.cr.volces.com/vikingbot/vikingbot:latest \ + gateway + +# 3. 查看日志 +docker logs --tail 50 -f vikingbot +``` + +按 `Ctrl+C` 退出日志查看,容器继续后台运行。 + +### 本地代码构建镜像部署 + +如果你想从本地代码构建镜像并部署: + +#### 一行命令部署 + +```bash +./deploy/docker/deploy.sh +``` + +脚本会自动检测本地架构(arm64/amd64)并构建适配的镜像。 + +#### 分步部署 + +##### 1. 构建镜像 + +```bash +./deploy/docker/build-image.sh +``` + +##### 2. 部署服务 + +```bash +./deploy/docker/deploy.sh +``` + +##### 3. 停止服务 + +```bash +./deploy/docker/stop.sh +``` + +## 多架构支持 + +脚本自动支持多架构,无需手动配置! + +### 自动检测(推荐) + +脚本会自动检测你的系统架构并使用对应镜像: + +```bash +# Apple Silicon (M1/M2/M3) - 自动使用 linux/arm64 +./deploy/docker/deploy.sh + +# Intel/AMD - 自动使用 linux/amd64 +./deploy/docker/deploy.sh +``` + +### 手动指定架构 + +如需手动指定: + +```bash +# 构建 arm64 镜像(Apple Silicon) +PLATFORM=linux/arm64 ./deploy/docker/build-image.sh + +# 构建 amd64 镜像(Intel/AMD) +PLATFORM=linux/amd64 ./deploy/docker/build-image.sh + +# 同时构建两个架构(多架构镜像) +MULTI_ARCH=true ./deploy/docker/build-image.sh +``` + +### 使用指定架构部署 + +```bash +# 使用 arm64 镜像部署 +PLATFORM=linux/arm64 ./deploy/docker/deploy.sh + +# 使用 amd64 镜像部署 +PLATFORM=linux/amd64 ./deploy/docker/deploy.sh +``` + +## 文件说明 + +| 文件 | 说明 | +|------|------| +| `build-image.sh` | 一键构建 Docker 镜像(支持多架构) | +| `deploy.sh` | 一键部署(自动构建镜像+启动容器,自动检测架构) | +| `stop.sh` | 停止并清理容器 | +| `image_upload.sh` | 将本地镜像上传到火山引擎镜像仓库 | +| `image_upload.example.yaml` | 镜像上传配置文件示例 | +| `README.md` | 本文档 | + +## 使用 Docker Compose + +项目根目录也提供了 `docker-compose.yml`: + +```bash +# 启动服务 +docker-compose up -d + +# 查看日志 +docker-compose logs -f + +# 停止服务 +docker-compose down +``` + +## 环境变量配置 + +### build-image.sh + +| 变量 | 默认值 | 说明 | +|------|--------|------| +| `IMAGE_NAME` | `vikingbot` | 镜像名称 | +| `IMAGE_TAG` | `latest` | 镜像标签 | +| `DOCKERFILE` | `deploy/Dockerfile` | Dockerfile 路径 | +| `NO_CACHE` | `false` | 是否不使用缓存 | +| `PLATFORM` | 自动检测 | 目标平台 (linux/amd64, linux/arm64) | +| `MULTI_ARCH` | `false` | 是否构建多架构镜像 | + +**示例:** + +```bash +# 构建带版本标签的镜像 +IMAGE_TAG=v1.0.0 ./deploy/docker/build-image.sh + +# 不使用缓存重新构建 +NO_CACHE=true ./deploy/docker/build-image.sh + +# 构建 arm64 镜像 +PLATFORM=linux/arm64 ./deploy/docker/build-image.sh + +# 同时构建 amd64+arm64 多架构镜像 +MULTI_ARCH=true ./deploy/docker/build-image.sh +``` + +### deploy.sh + +| 变量 | 默认值 | 说明 | +|------|--------|------| +| `CONTAINER_NAME` | `vikingbot` | 容器名称 | +| `IMAGE_NAME` | `vikingbot` | 镜像名称 | +| `IMAGE_TAG` | `latest` | 镜像标签 | +| `HOST_PORT` | `18791` | 主机端口 | +| `CONTAINER_PORT` | `18791` | 容器端口 | +| `COMMAND` | `gateway` | 启动命令 | +| `AUTO_BUILD` | `true` | 镜像不存在时自动构建 | +| `PLATFORM` | 自动检测 | 使用的镜像平台 | + +**示例:** + +```bash +# 使用自定义端口 +HOST_PORT=8080 ./deploy/docker/deploy.sh + +# 不自动构建镜像 +AUTO_BUILD=false ./deploy/docker/deploy.sh + +# 强制使用 arm64 镜像 +PLATFORM=linux/arm64 ./deploy/docker/deploy.sh +``` + +### stop.sh + +| 变量 | 默认值 | 说明 | +|------|--------|------| +| `CONTAINER_NAME` | `vikingbot` | 容器名称 | +| `REMOVE_IMAGE` | `false` | 是否同时删除镜像 | +| `REMOVE_VOLUME` | `false` | 是否同时删除数据卷 | + +**示例:** + +```bash +# 完全清理(容器+镜像+数据卷) +REMOVE_IMAGE=true REMOVE_VOLUME=true ./deploy/docker/stop.sh +``` + +## 配置文件 + +首次部署时,脚本会自动创建配置文件:`~/.vikingbot/config.json` + +编辑该文件填入你的 API keys: + +```json +{ + "providers": { + "openrouter": { + "apiKey": "sk-or-xxx" + } + }, + "agents": { + "defaults": { + "model": "openrouter/anthropic/claude-3.5-sonnet" + } + }, + "gateway": { + "host": "0.0.0.0", + "port": 18791 + } +} +``` + +**重要:** Console Web UI 端口是 **18791**,不是 18790! + +## 访问控制台 + +部署成功后,访问:http://localhost:18791 + +## 常用命令 + +```bash +# 查看日志 +docker logs -f vikingbot + +# 进入容器 +docker exec -it vikingbot bash + +# 运行 vikingbot 命令 +docker exec vikingbot vikingbot status + +# 重启容器 +docker restart vikingbot +``` + +## 架构兼容性说明 + +| 系统 | 架构 | 自动检测 | 手动指定 | +|------|------|----------|----------| +| Apple Silicon (M1/M2/M3) | arm64 | ✓ | `PLATFORM=linux/arm64` | +| Intel Mac | amd64 | ✓ | `PLATFORM=linux/amd64` | +| Linux PC/Server | amd64 | ✓ | `PLATFORM=linux/amd64` | +| Linux ARM Server | arm64 | ✓ | `PLATFORM=linux/arm64` | +| Windows (WSL2) | amd64 | ✓ | `PLATFORM=linux/amd64` | + +## 与 VKE 部署共用 Dockerfile + +注意:本地 Docker 部署和 VKE 部署**共用同一个 Dockerfile**(`deploy/Dockerfile`),确保了环境一致性。 + +- VKE 部署:使用 `deploy/vke/vke_deploy.py` +- 本地部署:使用 `deploy/docker/deploy.sh` +- 两者都使用:`deploy/Dockerfile` + +Dockerfile 已移除平台硬编码,支持灵活的多架构构建! + +## 跨平台镜像构建(推送到仓库) + +如果你需要构建可以在 Windows/Mac/Linux 多平台运行的镜像,可以使用 `build-multiarch.sh`: + +### 前置准备 + +1. 准备一个 Docker 镜像仓库(如 Docker Hub, ACR, Harbor 等) +2. 登录到镜像仓库 + +### 构建并推送跨平台镜像 + +```bash +# 构建 linux/amd64 + linux/arm64 双架构镜像并推送 +REGISTRY=your-registry.com PUSH=true ./deploy/docker/build-multiarch.sh +``` + +### 环境变量配置 + +| 变量 | 说明 | 示例 | +|------|------|------| +| `REGISTRY` | 镜像仓库地址 | `registry.example.com` | +| `IMAGE_NAME` | 镜像名称 | `vikingbot` | +| `IMAGE_TAG` | 镜像标签 | `latest` | +| `PUSH` | 是否推送 | `true` / `false` | +| `PLATFORMS` | 目标架构 | `linux/amd64,linux/arm64` | + +### 使用跨平台镜像 + +推送成功后,在任何平台都可以直接使用: + +```bash +# 在 Apple Silicon Mac 上 +PLATFORM=linux/arm64 ./deploy/docker/deploy.sh + +# 在 Intel/AMD Linux 上 +PLATFORM=linux/amd64 ./deploy/docker/deploy.sh + +# 或让脚本自动检测 +./deploy/docker/deploy.sh +``` + +### 验证镜像架构 + +```bash +# 查看镜像支持的架构 +docker manifest inspect your-registry.com/vikingbot:latest +``` diff --git a/bot/deploy/docker/build-image.sh b/bot/deploy/docker/build-image.sh new file mode 100755 index 00000000..e4cdcfeb --- /dev/null +++ b/bot/deploy/docker/build-image.sh @@ -0,0 +1,70 @@ +#!/bin/bash +# Vikingbot 镜像构建脚本 +# 用法: ./deploy/docker/build-image.sh +# 变量: IMAGE_NAME, IMAGE_TAG, PLATFORM, NO_CACHE, PUSH, REGISTRY + +set -e + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +PROJECT_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)" + +RED=$'\033[0;31m' +GREEN=$'\033[0;32m' +YELLOW=$'\033[1;33m' +BLUE=$'\033[0;34m' +NC=$'\033[0m' + +IMAGE_NAME=${IMAGE_NAME:-vikingbot} +IMAGE_TAG=${IMAGE_TAG:-latest} +DOCKERFILE=${DOCKERFILE:-deploy/docker/Dockerfile} +NO_CACHE=${NO_CACHE:-false} +PUSH=${PUSH:-false} +REGISTRY=${REGISTRY:-} +# openviking 只有 linux/amd64 wheel,固定使用 amd64(Apple Silicon 由 Docker Desktop Rosetta 模拟) +PLATFORM=${PLATFORM:-linux/amd64} + +# 完整镜像名 +if [ -n "$REGISTRY" ]; then + FULL_IMAGE="${REGISTRY}/${IMAGE_NAME}:${IMAGE_TAG}" +else + FULL_IMAGE="${IMAGE_NAME}:${IMAGE_TAG}" +fi + +echo -e "${BLUE}========================================${NC}" +echo -e "${BLUE} Vikingbot 构建镜像${NC}" +echo -e "${BLUE}========================================${NC}" +echo " 镜像: ${FULL_IMAGE}" +echo " 平台: ${PLATFORM}" +echo " Dockerfile: ${DOCKERFILE}" +echo "" + +if ! command -v docker &> /dev/null; then + echo -e "${RED}错误: Docker 未安装${NC}" + exit 1 +fi + +if [ ! -f "$PROJECT_ROOT/$DOCKERFILE" ]; then + echo -e "${RED}错误: Dockerfile 不存在: $PROJECT_ROOT/$DOCKERFILE${NC}" + exit 1 +fi + +cd "$PROJECT_ROOT" + +BUILD_ARGS="--platform ${PLATFORM}" +[ "$NO_CACHE" = "true" ] && BUILD_ARGS="$BUILD_ARGS --no-cache" +[ "$PUSH" = "true" ] && BUILD_ARGS="$BUILD_ARGS --push" || BUILD_ARGS="$BUILD_ARGS --load" + +echo -e "${GREEN}开始构建...${NC}" +docker buildx build $BUILD_ARGS \ + -f "$DOCKERFILE" \ + -t "${FULL_IMAGE}" \ + . + +echo "" +echo -e "${GREEN}构建完成: ${FULL_IMAGE}${NC}" +echo "" +echo "常用命令:" +echo " 测试: ${YELLOW}docker run --rm ${FULL_IMAGE} status${NC}" +echo " 部署: ${YELLOW}./deploy/docker/deploy.sh${NC}" +echo " 多架构推送示例:" +echo " ${YELLOW}PUSH=true REGISTRY=my-registry.com ./deploy/docker/build-image.sh${NC}" diff --git a/bot/deploy/docker/build-multiarch.sh b/bot/deploy/docker/build-multiarch.sh new file mode 100755 index 00000000..a1e7b386 --- /dev/null +++ b/bot/deploy/docker/build-multiarch.sh @@ -0,0 +1,173 @@ +#!/bin/bash + +# Vikingbot 多架构镜像构建脚本 +# 功能: +# 1. 构建跨平台 Docker 镜像(linux/amd64 + linux/arm64) +# 2. 支持推送到远程镜像仓库 +# 3. 支持仅本地加载(不推送) + +set -e + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +PROJECT_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)" + +# 颜色输出 +RED='\033[0;31m' +GREEN='\033[0;32m' +YELLOW='\033[1;33m' +BLUE='\033[0;34m' +NC='\033[0m' + +# 默认配置 +IMAGE_NAME=${IMAGE_NAME:-vikingbot} +IMAGE_TAG=${IMAGE_TAG:-latest} +DOCKERFILE=${DOCKERFILE:-deploy/docker/Dockerfile} +NO_CACHE=${NO_CACHE:-false} +# 平台列表 +PLATFORMS=${PLATFORMS:-linux/amd64,linux/arm64} +# 是否推送(默认仅本地加载) +PUSH=${PUSH:-false} +# 远程仓库地址(如需要推送) +REGISTRY=${REGISTRY:-} + +echo -e "${BLUE}========================================${NC}" +echo -e "${BLUE} Vikingbot 多架构镜像构建${NC}" +echo -e "${BLUE}========================================${NC}" +echo "" + +# 1. 检查 Docker 是否安装 +echo -e "${GREEN}[1/6]${NC} 检查 Docker..." +if ! command -v docker &> /dev/null; then + echo -e "${RED}错误: Docker 未安装${NC}" + echo "请先安装 Docker: https://www.docker.com/get-started" + exit 1 +fi +echo -e " ${GREEN}✓${NC} Docker 已安装" + +# 2. 检查 Docker Buildx +echo -e "${GREEN}[2/6]${NC} 检查 Docker Buildx..." +if ! docker buildx version &> /dev/null; then + echo -e "${RED}错误: Docker Buildx 不可用${NC}" + echo "请确保使用 Docker Desktop 或启用了 Buildx" + exit 1 +fi +echo -e " ${GREEN}✓${NC} Docker Buildx 已就绪" + +# 3. 检查 Dockerfile 是否存在 +echo -e "${GREEN}[3/6]${NC} 检查 Dockerfile..." +if [ ! -f "$PROJECT_ROOT/$DOCKERFILE" ]; then + echo -e "${RED}错误: Dockerfile 不存在${NC}" + echo "路径: $PROJECT_ROOT/$DOCKERFILE" + exit 1 +fi +echo -e " ${GREEN}✓${NC} Dockerfile 存在" + +# 4. 显示构建配置 +echo -e "${GREEN}[4/6]${NC} 构建配置:" +echo " 项目根目录: $PROJECT_ROOT" +echo " Dockerfile: $DOCKERFILE" + +if [ -n "$REGISTRY" ]; then + FULL_IMAGE_NAME="${REGISTRY}/${IMAGE_NAME}:${IMAGE_TAG}" +else + FULL_IMAGE_NAME="${IMAGE_NAME}:${IMAGE_TAG}" +fi + +echo " 镜像名称: ${FULL_IMAGE_NAME}" +echo " 目标平台: ${PLATFORMS}" +echo " 不使用缓存: ${NO_CACHE}" +echo " 推送至仓库: ${PUSH}" + +if [ "$PUSH" = "true" ] && [ -z "$REGISTRY" ]; then + echo "" + echo -e "${YELLOW}⚠️ 警告: PUSH=true 但未指定 REGISTRY${NC}" + echo -e " 镜像将仅本地加载,不会推送${NC}" + PUSH=false +fi + +# 5. 创建/使用 builder 实例 +echo -e "${GREEN}[5/6]${NC} 准备 Buildx builder..." +BUILDER_NAME="vikingbot-builder" + +# 检查 builder 是否存在 +if ! docker buildx inspect "${BUILDER_NAME}" &> /dev/null; then + echo " 创建新的 builder 实例..." + docker buildx create --name "${BUILDER_NAME}" --use +else + echo " 使用现有的 builder 实例..." + docker buildx use "${BUILDER_NAME}" +fi +echo -e " ${GREEN}✓${NC} Builder 已就绪" + +# 6. 构建多架构镜像 +echo -e "${GREEN}[6/6]${NC} 开始构建多架构镜像..." +echo "" + +cd "$PROJECT_ROOT" + +BUILD_ARGS="" +if [ "$NO_CACHE" = "true" ]; then + BUILD_ARGS="--no-cache" +fi + +if [ "$PUSH" = "true" ]; then + # 推送模式:构建并推送 + echo "模式: 构建并推送至仓库" + echo "镜像: ${FULL_IMAGE_NAME}" + echo "" + + docker buildx build $BUILD_ARGS \ + -f "$DOCKERFILE" \ + -t "${FULL_IMAGE_NAME}" \ + --platform "${PLATFORMS}" \ + --push \ + . +else + # 本地模式:构建并加载到本地(注意:buildx load 仅支持单架构) + echo "模式: 构建并加载至本地" + echo "" + echo -e "${YELLOW}⚠️ 注意: buildx load 仅支持单架构${NC}" + echo -e " 正在构建本地架构镜像...${NC}" + echo "" + + # 检测本地架构 + if [[ "$(uname -m)" == "arm64" ]] || [[ "$(uname -m)" == "aarch64" ]]; then + LOCAL_PLATFORM="linux/arm64" + else + LOCAL_PLATFORM="linux/amd64" + fi + + echo "本地架构: ${LOCAL_PLATFORM}" + echo "" + + docker buildx build $BUILD_ARGS \ + -f "$DOCKERFILE" \ + -t "${FULL_IMAGE_NAME}" \ + --platform "${LOCAL_PLATFORM}" \ + --load \ + . +fi + +echo "" +echo -e "${GREEN}========================================${NC}" +echo -e "${GREEN} 多架构镜像构建完成!${NC}" +echo -e "${GREEN}========================================${NC}" +echo "" +echo "镜像信息:" +echo " 名称: ${FULL_IMAGE_NAME}" +echo " 平台: ${PLATFORMS}" +echo "" +echo "常用命令:" +echo " 查看镜像: ${YELLOW}docker images ${IMAGE_NAME}${NC}" +if [ "$PUSH" != "true" ]; then + echo " 测试本地镜像: ${YELLOW}docker run --rm ${FULL_IMAGE_NAME} status${NC}" +fi +echo "" +echo "跨平台使用示例:" +echo " Windows/Mac/Linux (Intel): 使用 linux/amd64 镜像" +echo " Mac (Apple Silicon): 使用 linux/arm64 镜像" +echo " Linux ARM 服务器: 使用 linux/arm64 镜像" +echo "" +echo "推送到远程仓库示例:" +echo " REGISTRY=my-registry.com PUSH=true ./deploy/docker/build-multiarch.sh" +echo "" diff --git a/bot/deploy/docker/deploy.sh b/bot/deploy/docker/deploy.sh new file mode 100755 index 00000000..64926c25 --- /dev/null +++ b/bot/deploy/docker/deploy.sh @@ -0,0 +1,138 @@ +#!/bin/bash +# Vikingbot 本地一键部署脚本 +# ~/.vikingbot 会挂载到容器的 /root/.vikingbot(bridge 首次启动时自动初始化) +# 用法: ./deploy/docker/deploy.sh +# 变量: CONTAINER_NAME, IMAGE_NAME, IMAGE_TAG, HOST_PORT, COMMAND, AUTO_BUILD, PLATFORM + +set -e + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +PROJECT_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)" + +RED=$'\033[0;31m' +GREEN=$'\033[0;32m' +YELLOW=$'\033[1;33m' +BLUE=$'\033[0;34m' +NC=$'\033[0m' + +CONTAINER_NAME=${CONTAINER_NAME:-vikingbot} +IMAGE_NAME=${IMAGE_NAME:-vikingbot} +IMAGE_TAG=${IMAGE_TAG:-latest} +HOST_PORT=${HOST_PORT:-18791} +COMMAND=${COMMAND:-gateway} +AUTO_BUILD=${AUTO_BUILD:-true} +# openviking 只有 linux/amd64 wheel,固定使用 amd64(Apple Silicon 由 Docker Desktop Rosetta 模拟) +PLATFORM=${PLATFORM:-linux/amd64} +VIKINGBOT_DIR="$HOME/.vikingbot" + +echo -e "${BLUE}========================================${NC}" +echo -e "${BLUE} Vikingbot 本地部署${NC}" +echo -e "${BLUE}========================================${NC}" +echo "" + +# 1. 检查 Docker +echo -e "${GREEN}[1/6]${NC} 检查 Docker..." +if ! command -v docker &> /dev/null; then + echo -e "${RED}错误: Docker 未安装${NC}" + echo "请先安装 Docker: https://www.docker.com/get-started" + exit 1 +fi +echo -e " ${GREEN}✓${NC} Docker 已安装,平台: ${PLATFORM}" + +# 2. 检查/构建镜像 +echo -e "${GREEN}[2/6]${NC} 检查镜像 ${IMAGE_NAME}:${IMAGE_TAG}..." +if ! docker images --format "{{.Repository}}:{{.Tag}}" | grep -q "^${IMAGE_NAME}:${IMAGE_TAG}$"; then + if [ "$AUTO_BUILD" = "true" ]; then + echo -e " ${YELLOW}镜像不存在,开始自动构建...${NC}" + PLATFORM="$PLATFORM" IMAGE_NAME="$IMAGE_NAME" IMAGE_TAG="$IMAGE_TAG" \ + "$SCRIPT_DIR/build-image.sh" + else + echo -e "${RED}错误: 镜像不存在。请先运行 build-image.sh${NC}" + exit 1 + fi +else + echo -e " ${GREEN}✓${NC} 镜像已存在" +fi + +# 3. 初始化 ~/.vikingbot 目录 +echo -e "${GREEN}[3/6]${NC} 初始化 ${VIKINGBOT_DIR}..." +mkdir -p "$VIKINGBOT_DIR/workspace" "$VIKINGBOT_DIR/sessions" "$VIKINGBOT_DIR/sandboxes" "$VIKINGBOT_DIR/bridge" +# 创建 OpenViking 配置文件占位符 +touch "$VIKINGBOT_DIR/ov.conf" +echo -e " ${GREEN}✓${NC} 目录已就绪" + +# 4. 检查配置文件 +echo -e "${GREEN}[4/6]${NC} 检查配置文件..." +CONFIG_FILE="$VIKINGBOT_DIR/config.json" +if [ ! -f "$CONFIG_FILE" ]; then + echo -e " ${YELLOW}配置文件不存在,创建默认配置...${NC}" + cat > "$CONFIG_FILE" << 'EOF' +{ + "providers": { + "openrouter": { + "apiKey": "" + } + }, + "agents": { + "defaults": { + "model": "openrouter/anthropic/claude-3.5-sonnet" + } + }, + "gateway": { + "host": "0.0.0.0", + "port": 18791 + } +} +EOF + echo "" + echo -e "${YELLOW} ⚠ 请先编辑配置文件填入 API Keys,再重新运行此脚本:${NC}" + echo -e " ${YELLOW}$CONFIG_FILE${NC}" + echo "" + exit 1 +else + echo -e " ${GREEN}✓${NC} 配置文件已存在" +fi + +# 5. 清理旧容器 +echo -e "${GREEN}[5/6]${NC} 清理旧容器..." +if docker ps -aq -f "name=^/${CONTAINER_NAME}$" | grep -q .; then + docker rm -f "${CONTAINER_NAME}" > /dev/null + echo -e " ${GREEN}✓${NC} 旧容器已删除" +else + echo -e " ${GREEN}✓${NC} 无旧容器" +fi + +# 6. 启动容器 +echo -e "${GREEN}[6/6]${NC} 启动容器..." +echo " 容器名: ${CONTAINER_NAME}" +echo " 镜像: ${IMAGE_NAME}:${IMAGE_TAG}" +echo " 命令: vikingbot ${COMMAND}" +echo " 端口: ${HOST_PORT} → 18791" +echo " 挂载: ${VIKINGBOT_DIR} → /root/.vikingbot" +echo "" + +docker run -d \ + --name "${CONTAINER_NAME}" \ + --restart unless-stopped \ + --platform "${PLATFORM}" \ + -v "${VIKINGBOT_DIR}:/root/.vikingbot" \ + -p "${HOST_PORT}:18791" \ + -e OPENVIKING_CONFIG_FILE=/root/.vikingbot/ov.conf \ + "${IMAGE_NAME}:${IMAGE_TAG}" \ + "${COMMAND}" + +echo -e "${GREEN}========================================${NC}" +echo -e "${GREEN} 部署成功!${NC}" +echo -e "${GREEN}========================================${NC}" +echo "" +echo " 控制台: ${YELLOW}http://localhost:${HOST_PORT}${NC}" +echo "" +echo "常用命令:" +echo " 查看日志: ${YELLOW}docker logs -f ${CONTAINER_NAME}${NC}" +echo " 进入容器: ${YELLOW}docker exec -it ${CONTAINER_NAME} bash${NC}" +echo " 重启: ${YELLOW}docker restart ${CONTAINER_NAME}${NC}" +echo " 停止: ${YELLOW}./deploy/docker/stop.sh${NC}" +echo "" +echo "正在输出日志 (Ctrl+C 退出)..." +echo "----------------------------------------" +docker logs --tail 20 -f "${CONTAINER_NAME}" diff --git a/bot/deploy/docker/docker-entrypoint.sh b/bot/deploy/docker/docker-entrypoint.sh new file mode 100755 index 00000000..8a45f41e --- /dev/null +++ b/bot/deploy/docker/docker-entrypoint.sh @@ -0,0 +1,19 @@ +#!/bin/bash +set -e + +VIKINGBOT_DIR="/root/.vikingbot" +BRIDGE_SRC="/opt/vikingbot-bridge" +BRIDGE_DEST="$VIKINGBOT_DIR/bridge" + +# Ensure base directories exist (in case volume is newly mounted) +mkdir -p "$VIKINGBOT_DIR/workspace" "$VIKINGBOT_DIR/sessions" "$VIKINGBOT_DIR/sandboxes" "$BRIDGE_DEST" + +# Copy bridge files from image if not yet initialized on the volume +# (bridge is pre-built into /opt/vikingbot-bridge at image build time) +if [ -d "$BRIDGE_SRC" ] && [ ! -f "$BRIDGE_DEST/package.json" ]; then + echo "[vikingbot] Initializing bridge files to $BRIDGE_DEST ..." + cp -r "$BRIDGE_SRC/." "$BRIDGE_DEST/" + echo "[vikingbot] Bridge initialized." +fi + +exec vikingbot "$@" diff --git a/bot/deploy/docker/image_upload.example.yaml b/bot/deploy/docker/image_upload.example.yaml new file mode 100644 index 00000000..6efad710 --- /dev/null +++ b/bot/deploy/docker/image_upload.example.yaml @@ -0,0 +1,24 @@ +# Vikingbot 镜像上传配置 +# 复制此文件到 ~/.config/vikingbot/image_upload.yaml 并填入你的信息 + +# 火山引擎镜像仓库配置 +image_registry: vikingbot-cn-beijing.cr.volces.com +image_namespace: vikingbot +image_repository: vikingbot + +# 镜像标签配置 +# use_timestamp_tag: 是否使用时间戳标签 (true/false) +# - true: 自动生成时间戳标签,格式: build-YYYYMMDD-HHMMSS +# - false: 使用 image_tag 指定的标签 +use_timestamp_tag: false +# image_tag: 固定标签 (仅当 use_timestamp_tag: false 时生效) +# 可以设置为: latest, v1.0.0, build-123 等 +image_tag: latest + +# 本地镜像配置 +local_image_name: vikingbot +local_image_tag: latest + +# 镜像仓库登录凭证 +registry_username: "" +registry_password: "" diff --git a/bot/deploy/docker/image_upload.sh b/bot/deploy/docker/image_upload.sh new file mode 100755 index 00000000..84398292 --- /dev/null +++ b/bot/deploy/docker/image_upload.sh @@ -0,0 +1,206 @@ +#!/bin/bash +# Vikingbot 镜像上传到火山引擎脚本 +# 将 deploy/docker/deploy.sh 产生的本地镜像上传到火山引擎镜像仓库 +# 用法: ./deploy/docker/image_upload.sh +# 变量: IMAGE_NAME, IMAGE_TAG, CONFIG_FILE + +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +PROJECT_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)" +CONFIG_FILE="${CONFIG_FILE:-${HOME}/.config/vikingbot/image_upload.yaml}" + +# ── 颜色输出 ──────────────────────────────────────────────────────────────── +RED='\033[0;31m'; GREEN='\033[0;32m'; BLUE='\033[0;34m'; YELLOW='\033[1;33m'; NC='\033[0m' +log_info() { echo -e "${BLUE}$*${NC}"; } +log_ok() { echo -e "${GREEN}$*${NC}"; } +log_warn() { echo -e "${YELLOW}$*${NC}"; } +log_error() { echo -e "${RED}$*${NC}" >&2; } + +usage() { + cat <&2 + exit 1 + ;; + esac +done + +# ── 配置文件检查 ────────────────────────────────────────────────────────────── +if [[ ! -f "$CONFIG_FILE" ]]; then + log_error "Config file not found: ${CONFIG_FILE}" + echo "" + echo "Create one from the example:" + echo " mkdir -p \"$(dirname "$CONFIG_FILE")\"" + echo " cp \"${PROJECT_ROOT}/deploy/docker/image_upload.example.yaml\" \"${CONFIG_FILE}\"" + exit 1 +fi + +# ── 安全读取 YAML 配置 ──────────────────────────────────────────────────────── +if ! command -v python3 &>/dev/null; then + log_error "python3 is required to parse the config file" + exit 1 +fi + +TEMP_ENV=$(mktemp /tmp/vikingbot-upload-env.XXXXXX) +trap 'rm -f "$TEMP_ENV"' EXIT + +python3 - "$CONFIG_FILE" >"$TEMP_ENV" <<'PYEOF' +import sys, shlex + +config_path = sys.argv[1] +config = {} + +try: + import yaml + with open(config_path) as f: + config = yaml.safe_load(f) or {} +except ImportError: + # Fallback: 无 pyyaml 时的简单解析 + with open(config_path) as f: + for line in f: + line = line.strip() + if not line or line.startswith('#') or ':' not in line: + continue + key, _, val = line.partition(':') + key = key.strip() + val = val.strip().strip('"').strip("'") + if key: + config[key] = val + +for key, val in config.items(): + if not key.isidentifier(): + continue + if isinstance(val, bool): + str_val = 'true' if val else 'false' + elif val is None: + str_val = '' + else: + str_val = str(val) + print(f"{key}={shlex.quote(str_val)}") +PYEOF + +# shellcheck source=/dev/null +source "$TEMP_ENV" + +# ── 默认值和参数覆盖 ────────────────────────────────────────────────────────── +# 从配置文件读取默认值,命令行参数优先 +image_registry="${image_registry:-vikingbot-cn-beijing.cr.volces.com}" +image_namespace="${image_namespace:-vikingbot}" +image_repository="${image_repository:-vikingbot}" +use_timestamp_tag="${use_timestamp_tag:-false}" + +# 本地镜像:命令行参数 > 配置文件 > 默认值 +if [[ -z "$IMAGE_NAME" ]]; then + IMAGE_NAME="${local_image_name:-vikingbot}" +fi +if [[ -z "$IMAGE_TAG" ]]; then + IMAGE_TAG="${local_image_tag:-latest}" +fi + +# 远程镜像标签 +if [[ "$use_timestamp_tag" == "true" ]]; then + REMOTE_IMAGE_TAG="build-$(date +%Y%m%d-%H%M%S)" +else + REMOTE_IMAGE_TAG="${image_tag:-latest}" +fi + +LOCAL_IMAGE="${IMAGE_NAME}:${IMAGE_TAG}" +FULL_REMOTE_IMAGE="${image_registry}/${image_namespace}/${image_repository}:${REMOTE_IMAGE_TAG}" + +# ── 摘要 ────────────────────────────────────────────────────────────────────── +log_info "==================================================" +log_info " Volcengine Image Upload Tool" +log_info "==================================================" +cat < /dev/null + echo -e "${GREEN}✓ 容器 ${CONTAINER_NAME} 已停止并删除${NC}" +else + echo -e " 容器 ${CONTAINER_NAME} 不存在,跳过" +fi + +if [ "$REMOVE_IMAGE" = "true" ]; then + if docker images --format "{{.Repository}}:{{.Tag}}" | grep -q "^${IMAGE_NAME}:${IMAGE_TAG}$"; then + docker rmi "${IMAGE_NAME}:${IMAGE_TAG}" + echo -e "${GREEN}✓ 镜像 ${IMAGE_NAME}:${IMAGE_TAG} 已删除${NC}" + fi +fi + +echo -e "${GREEN}完成${NC}" diff --git a/bot/deploy/ecs/README.md b/bot/deploy/ecs/README.md new file mode 100644 index 00000000..6a8813df --- /dev/null +++ b/bot/deploy/ecs/README.md @@ -0,0 +1,3 @@ +# ECS 部署 + +火山引擎ECS部署方案待实现。 diff --git a/bot/deploy/vke/README.md b/bot/deploy/vke/README.md new file mode 100644 index 00000000..a77cdccf --- /dev/null +++ b/bot/deploy/vke/README.md @@ -0,0 +1,448 @@ +# VKE 部署指南 + +本文档介绍如何将 Vikingbot 部署到火山引擎容器服务(VKE)。 + +## 目录 + +- [架构概述](#架构概述) +- [前置准备](#前置准备) + - [1. 火山引擎账号](#1-火山引擎账号) + - [2. 创建 VKE 集群](#2-创建-vke-集群) + - [3. 创建容器镜像仓库](#3-创建容器镜像仓库) + - [4. 创建 TOS 存储桶(可选)](#4-创建-tos-存储桶可选) + - [5. 获取访问密钥](#5-获取访问密钥) + - [6. 配置本地环境](#6-配置本地环境) +- [快速部署](#快速部署) +- [配置详解](#配置详解) +- [手动部署](#手动部署) +- [验证部署](#验证部署) +- [故障排查](#故障排查) + +--- + +## 架构概述 + +``` +┌─────────────────────────────────────────────────────────────┐ +│ 火山引擎 VKE │ +│ ┌───────────────────────────────────────────────────────┐ │ +│ │ Namespace: default │ │ +│ │ ┌─────────────────────────────────────────────────┐ │ │ +│ │ │ Deployment: vikingbot │ │ │ +│ │ │ ┌───────────────────────────────────────────┐ │ │ │ +│ │ │ │ Pod (2 replicas) │ │ │ │ +│ │ │ │ ┌─────────────────────────────────────┐ │ │ │ │ +│ │ │ │ │ Container: vikingbot │ │ │ │ │ +│ │ │ │ │ - Port: 18791 (gateway) │ │ │ │ │ +│ │ │ │ │ - Volume: /root/.vikingbot │ │ │ │ │ +│ │ │ │ └─────────────────────────────────────┘ │ │ │ │ +│ │ │ └───────────────────────────────────────────┘ │ │ │ +│ │ └─────────────────────────────────────────────────┘ │ │ +│ │ │ │ +│ │ ┌─────────────────────────────────────────────────┐ │ │ +│ │ │ Service: vikingbot (ClusterIP) │ │ │ +│ │ │ - Port: 80 → TargetPort: 18791 │ │ │ +│ │ └─────────────────────────────────────────────────┘ │ │ +│ │ │ │ +│ │ ┌─────────────────────────────────────────────────┐ │ │ +│ │ │ PVC: vikingbot-data (10Gi) │ │ │ +│ │ │ └──→ PV: vikingbot-tos-pv (TOS) │ │ │ +│ │ └─────────────────────────────────────────────────┘ │ │ +│ └───────────────────────────────────────────────────────┘ │ +│ │ +│ ┌───────────────────────────────────────────────────────┐ │ +│ │ TOS Bucket: vikingbot_data │ │ +│ └───────────────────────────────────────────────────────┘ │ +└─────────────────────────────────────────────────────────────┘ +``` + +--- + +## 前置准备 + +### 1. 火山引擎账号 + +- 注册火山引擎账号:https://www.volcengine.com/ +- 完成实名认证 +- 开通以下服务: + - **容器服务 VKE** + - **容器镜像服务 CR** + - **对象存储 TOS**(可选,用于持久化存储) + +--- + +### 2. 创建 VKE 集群 + +1. 登录火山引擎控制台 +2. 进入 **容器服务 VKE** → **集群** +3. 点击 **创建集群** +4. 配置集群参数: + - **集群名称**:vikingbot(或自定义) + - **Kubernetes 版本**:选择最新稳定版(推荐 1.24+) + - **容器运行时**:containerd + - **网络模式**:Flannel 或 Calico + - **Service CIDR**:默认即可 +5. 配置节点池: + - **节点规格**:推荐 2核4G 或更高(ecs.g1.large) + - **节点数量**:至少 2 个节点 + - **系统盘**:40Gi SSD +6. 确认配置并创建集群 + +> **等待集群创建完成**(约 10-15 分钟) + +--- + +### 3. 创建容器镜像仓库 + +1. 进入 **容器镜像服务 CR** → **命名空间** +2. 点击 **创建命名空间** + - 名称:`vikingbot` + - 类型:私有 +3. 进入 **镜像仓库** +4. 点击 **创建镜像仓库** + - 名称:`vikingbot` + - 命名空间:选择刚才创建的 `vikingbot` + - 描述:Vikingbot 镜像仓库 + +--- + +### 4. 创建 TOS 存储桶(可选) + +如果使用 TOS 作为持久化存储,需要创建存储桶: + +1. 进入 **对象存储 TOS** → **存储桶列表** +2. 点击 **创建存储桶** +3. 配置参数: + - **名称**:`vikingbot-data`(或自定义) + - **地域**:选择与 VKE 集群相同的地域(如 cn-beijing) + - **存储类型**:标准存储 + - **权限**:私有 +4. 点击 **确定** 创建 + +--- + +### 5. 获取访问密钥 + +#### 5.1 创建 AccessKey + +1. 鼠标悬停在右上角头像,点击 **API 访问密钥** +2. 点击 **新建密钥** +3. 完成手机验证 +4. 保存生成的 **AccessKey ID** 和 **Secret Access Key** + +> **重要**:Secret Access Key 只显示一次,请妥善保存! + +#### 5.2 获取 Kubeconfig + +1. 进入 **容器服务 VKE** → **集群** +2. 找到你的集群,点击 **连接** +3. 在 **集群访问凭证** 页签,点击 **下载** 获取 Kubeconfig +4. 将下载的文件保存到 `~/.kube/config`,或配置 `KUBECONFIG` 环境变量 + +验证连接: +```bash +kubectl get nodes +``` + +--- + +### 6. 配置本地环境 + +确保本地已安装: + +- **Docker**:用于构建镜像 +- **kubectl**:用于操作 Kubernetes 集群 +- **Python 3**:部署脚本需要 + +验证安装: +```bash +docker --version +kubectl version --client +python3 --version +``` + +--- + +## 快速部署 + +### 步骤 1:复制配置文件 + +```bash +mkdir -p ~/.config/vikingbot +cp deploy/vke/vke_deploy.example.yaml ~/.config/vikingbot/vke_deploy.yaml +``` + +### 步骤 2:编辑配置 + +```bash +vim ~/.config/vikingbot/vke_deploy.yaml +``` + +填入以下信息: + +```yaml +volcengine_access_key: AKLTxxxxxxxxxx # 你的 AccessKey ID +volcengine_secret_key: xxxxxxxxxx # 你的 Secret Access Key +volcengine_region: cn-beijing # 地域 + +vke_cluster_id: ccxxxxxxxxxx # 集群 ID(从控制台获取) + +image_registry: vikingbot-cn-beijing.cr.volces.com # 镜像仓库地址 +image_namespace: vikingbot +image_repository: vikingbot +image_tag: latest + +# 镜像仓库登录凭证(如果是私有仓库) +registry_username: "你的火山引擎账号" +registry_password: "你的火山引擎密码" + +# 存储类型:local (EBS) 或 tos +storage_type: tos + +# TOS 配置(仅 storage_type=tos 时需要) +tos_bucket: vikingbot_data +tos_path: /.vikingbot/ +tos_region: cn-beijing +``` + +### 步骤 3:执行部署 + +```bash +cd /path/to/vikingbot +chmod +x deploy/vke/deploy.sh +deploy/vke/deploy.sh +``` + +部署脚本会自动完成: +1. 构建 Docker 镜像 +2. 推送镜像到火山引擎 CR +3. 创建 K8s 资源(Secret、PV、PVC、Deployment、Service) +4. 等待部署完成 + +--- + +## 配置详解 + +### vke_deploy.yaml 配置项 + +| 配置项 | 说明 | 必填 | 示例 | +|--------|------|------|------| +| `volcengine_access_key` | 火山引擎 AccessKey ID | 是 | `AKLTxxxx` | +| `volcengine_secret_key` | 火山引擎 Secret Access Key | 是 | `xxxx` | +| `volcengine_region` | 地域 | 是 | `cn-beijing` | +| `vke_cluster_id` | VKE 集群 ID | 是 | `ccxxxx` | +| `image_registry` | 镜像仓库地址 | 是 | `vikingbot-cn-beijing.cr.volces.com` | +| `image_namespace` | 命名空间 | 是 | `vikingbot` | +| `image_repository` | 仓库名称 | 是 | `vikingbot` | +| `image_tag` | 镜像标签 | 否 | `latest` | +| `use_timestamp_tag` | 使用时间戳标签 | 否 | `false` | +| `registry_username` | 镜像仓库用户名 | 否 | | +| `registry_password` | 镜像仓库密码 | 否 | | +| `storage_type` | 存储类型:`local` 或 `tos` | 否 | `local` | +| `tos_bucket` | TOS 桶名 | storage_type=tos | `vikingbot_data` | +| `tos_path` | TOS 路径 | storage_type=tos | `/.vikingbot/` | +| `tos_region` | TOS 地域 | storage_type=tos | `cn-beijing` | +| `k8s_namespace` | K8s 命名空间 | 否 | `default` | +| `k8s_replicas` | Pod 副本数 | 否 | `1` | +| `kubeconfig_path` | kubeconfig 路径 | 否 | `~/.kube/config` | + +--- + +## 手动部署 + +如果不想使用一键部署脚本,可以按以下步骤手动操作。 + +### 1. 构建并推送镜像 + +```bash +# 构建镜像 +docker build --platform linux/amd64 -f deploy/Dockerfile -t vikingbot . + +# 登录镜像仓库 +docker login vikingbot-cn-beijing.cr.volces.com -u -p + +# Tag 镜像 +docker tag vikingbot vikingbot-cn-beijing.cr.volces.com/vikingbot/vikingbot:latest + +# 推送 +docker push vikingbot-cn-beijing.cr.volces.com/vikingbot/vikingbot:latest +``` + +### 2. 准备 Kubernetes Manifest + +复制 `deploy/vke/k8s/deployment.yaml`,替换以下变量: + +- `__IMAGE_NAME__`:完整镜像名 +- `__REPLICAS__`:副本数 +- `__ACCESS_MODES__`:访问模式(`ReadWriteOnce` 或 `ReadWriteMany`) +- `__STORAGE_CLASS_CONFIG__`:StorageClass 配置 +- `__VOLUME_NAME_CONFIG__`:VolumeName 配置 + +### 3. 创建 TOS Secret(仅使用 TOS 时) + +```bash +# Base64 编码 AccessKey +AK_B64=$(echo -n "your-access-key" | base64) +SK_B64=$(echo -n "your-secret-key" | base64) + +# 创建 Secret +cat < + +# 查看日志 +kubectl logs +``` + +### 镜像拉取失败 + +检查: +1. 镜像仓库地址是否正确 +2. 镜像是否已推送 +3. 仓库是否为私有,是否配置了 ImagePullSecret + +### 存储挂载失败 + +```bash +# 查看 PVC 状态 +kubectl get pvc + +# 查看 PV 状态 +kubectl get pv + +# 查看事件 +kubectl describe pvc vikingbot-data +``` + +### 健康检查失败 + +健康检查路径:`/health`,端口:`18791` + +```bash +# 进入 Pod 内部检查 +kubectl exec -it -- bash + +# 在 Pod 内测试 +curl http://localhost:18791/health +``` + +--- + +## 常用命令 + +```bash +# 扩容/缩容 +kubectl scale deployment vikingbot --replicas=3 + +# 更新镜像 +kubectl set image deployment/vikingbot vikingbot=vikingbot-cn-beijing.cr.volces.com/vikingbot/vikingbot:new-tag + +# 重启 Deployment +kubectl rollout restart deployment/vikingbot + +# 回滚 +kubectl rollout undo deployment/vikingbot + +# 删除所有资源 +kubectl delete -f deploy/vke/k8s/deployment.yaml +``` + +--- + +## 附录 + +### 地域列表 + +| 地域 ID | 地域名称 | +|---------|----------| +| cn-beijing | 华北2(北京) | +| cn-shanghai | 华东2(上海) | +| cn-guangzhou | 华南1(广州) | +| cn-shenzhen | 华南2(深圳) | + +### 镜像仓库地址格式 + +``` +{namespace}-{region}.cr.volces.com +``` + +示例:`vikingbot-cn-beijing.cr.volces.com` + +--- + +## 参考链接 + +- [火山引擎 VKE 文档](https://www.volcengine.com/docs/6460) +- [火山引擎 CR 文档](https://www.volcengine.com/docs/6420) +- [火山引擎 TOS 文档](https://www.volcengine.com/docs/6349) +- [Kubernetes 官方文档](https://kubernetes.io/docs/) diff --git a/bot/deploy/vke/deploy.sh b/bot/deploy/vke/deploy.sh new file mode 100755 index 00000000..921c06e5 --- /dev/null +++ b/bot/deploy/vke/deploy.sh @@ -0,0 +1,350 @@ +#!/bin/bash +# Vikingbot VKE 一键部署脚本 + +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +PROJECT_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)" +CONFIG_FILE="${HOME}/.config/vikingbot/vke_deploy.yaml" +SKIP_BUILD=false +SKIP_PUSH=false +SKIP_DEPLOY=false +NO_CACHE=false + +# ── 颜色输出 ──────────────────────────────────────────────────────────────── +RED='\033[0;31m'; GREEN='\033[0;32m'; BLUE='\033[0;34m'; NC='\033[0m' +log_info() { echo -e "${BLUE}$*${NC}"; } +log_ok() { echo -e "${GREEN}$*${NC}"; } +log_error() { echo -e "${RED}$*${NC}" >&2; } + +usage() { + cat <&2 + exit 1 + ;; + esac +done + +# ── 配置文件检查 ────────────────────────────────────────────────────────────── +if [[ ! -f "$CONFIG_FILE" ]]; then + log_error "Config file not found: ${CONFIG_FILE}" + echo "Create one from the example:" + echo " mkdir -p \"$(dirname "$CONFIG_FILE")\"" + echo " cp \"${SCRIPT_DIR}/vke_deploy.example.yaml\" \"${CONFIG_FILE}\"" + exit 1 +fi + +# ── 安全读取 YAML 配置 ──────────────────────────────────────────────────────── +# 用 Python 解析 YAML 后以 shlex.quote 安全转义输出,再 source 到当前 shell, +# 避免原版 eval + 未转义字符串带来的注入风险,同时正确处理整数/布尔值 +if ! command -v python3 &>/dev/null; then + log_error "python3 is required to parse the config file" + exit 1 +fi + +TEMP_ENV=$(mktemp /tmp/vikingbot-env.XXXXXX) +TEMP_MANIFEST=$(mktemp /tmp/vikingbot-manifest.XXXXXX) +trap 'rm -f "$TEMP_ENV" "$TEMP_MANIFEST"' EXIT + +python3 - "$CONFIG_FILE" >"$TEMP_ENV" <<'PYEOF' +import sys, shlex + +config_path = sys.argv[1] +config = {} + +try: + import yaml + with open(config_path) as f: + config = yaml.safe_load(f) or {} +except ImportError: + # Fallback: 无 pyyaml 时的简单解析 + with open(config_path) as f: + for line in f: + line = line.strip() + if not line or line.startswith('#') or ':' not in line: + continue + key, _, val = line.partition(':') + key = key.strip() + val = val.strip().strip('"').strip("'") + if key: + config[key] = val + +for key, val in config.items(): + if not key.isidentifier(): + continue + if isinstance(val, bool): + str_val = 'true' if val else 'false' + elif val is None: + str_val = '' + else: + str_val = str(val) + print(f"{key}={shlex.quote(str_val)}") +PYEOF + +# shellcheck source=/dev/null +source "$TEMP_ENV" + +# ── 校验必要字段 ────────────────────────────────────────────────────────────── +# 只拒绝明确的占位符值,不误伤真实 AK(Volcengine 真实 AK 本身就以 AKLT 开头) +PLACEHOLDERS=("AKLTxxxxxxxxxx" "xxxxxxxxxx" "ccxxxxxxxxxx") +missing=() +for field in volcengine_access_key volcengine_secret_key vke_cluster_id; do + val="${!field:-}" + rejected=false + if [[ -z "$val" ]]; then + rejected=true + else + for ph in "${PLACEHOLDERS[@]}"; do + [[ "$val" == "$ph" ]] && rejected=true && break + done + fi + $rejected && missing+=("$field") +done + +if [[ ${#missing[@]} -gt 0 ]]; then + log_error "Config validation failed! Missing or placeholder fields:" + for f in "${missing[@]}"; do log_error " - $f"; done + echo "" + echo "Edit: ${CONFIG_FILE}" + exit 1 +fi + +# ── 默认值 ──────────────────────────────────────────────────────────────────── +image_registry="${image_registry:-vikingbot-cn-beijing.cr.volces.com}" +image_namespace="${image_namespace:-vikingbot}" +image_repository="${image_repository:-vikingbot}" +image_tag="${image_tag:-latest}" +local_image_name="${local_image_name:-vikingbot-vke}" +dockerfile_path="${dockerfile_path:-deploy/Dockerfile}" +build_context="${build_context:-.}" +k8s_namespace="${k8s_namespace:-default}" +k8s_deployment_name="${k8s_deployment_name:-vikingbot}" +k8s_replicas="${k8s_replicas:-1}" +k8s_manifest_path="${k8s_manifest_path:-deploy/vke/k8s/deployment.yaml}" +kubeconfig_path="${kubeconfig_path:-}" +storage_type="${storage_type:-local}" +tos_bucket="${tos_bucket:-vikingbot_data}" +tos_path="${tos_path:-/.vikingbot/}" +tos_region="${tos_region:-cn-beijing}" +use_timestamp_tag="${use_timestamp_tag:-false}" +wait_for_rollout="${wait_for_rollout:-true}" +rollout_timeout="${rollout_timeout:-120}" + +# 时间戳 tag(原版有展示但未实现,此处补全) +if [[ "$use_timestamp_tag" == "true" ]]; then + image_tag="build-$(date +%Y%m%d-%H%M%S)" +fi + +# 相对路径 → 基于 PROJECT_ROOT 的绝对路径(原版未使用已定义的 PROJECT_ROOT) +_abs() { [[ "$1" == /* ]] && echo "$1" || echo "${PROJECT_ROOT}/$1"; } +dockerfile_path=$(_abs "$dockerfile_path") +k8s_manifest_path=$(_abs "$k8s_manifest_path") +if [[ "$build_context" == "." ]]; then + build_context="$PROJECT_ROOT" +else + build_context=$(_abs "$build_context") +fi + +# kubeconfig(原版完全未处理此配置项) +if [[ -n "$kubeconfig_path" ]]; then + export KUBECONFIG="${kubeconfig_path/#\~/$HOME}" +fi + +full_image_name="${image_registry}/${image_namespace}/${image_repository}:${image_tag}" + +# ── 摘要 ────────────────────────────────────────────────────────────────────── +log_info "==================================================" +log_info " Volcengine VKE One-Click Deployment Tool" +log_info "==================================================" +cat < "$TEMP_MANIFEST" + + echo "Applying manifest to namespace: ${k8s_namespace}..." + if ! kubectl apply -f "$TEMP_MANIFEST" -n "$k8s_namespace"; then + log_error "kubectl apply failed" + exit 1 + fi + log_ok "K8s resources applied" + + if [[ "$wait_for_rollout" == "true" ]]; then + echo "" + echo "Waiting for rollout (timeout: ${rollout_timeout}s)..." + if ! kubectl rollout status "deployment/${k8s_deployment_name}" \ + -n "$k8s_namespace" --timeout="${rollout_timeout}s"; then + log_error "Rollout timeout or failed" + echo "Diagnose: kubectl get pods -n ${k8s_namespace}" + echo "Logs: kubectl logs -l app=vikingbot -n ${k8s_namespace} --tail=50" + exit 1 + fi + log_ok "Deployment success!" + fi +else + log_info "=== Step 3: Skip K8s deploy ===" +fi + +echo "" +log_ok "All done!" diff --git a/bot/deploy/vke/k8s/deployment.yaml b/bot/deploy/vke/k8s/deployment.yaml new file mode 100644 index 00000000..780f8526 --- /dev/null +++ b/bot/deploy/vke/k8s/deployment.yaml @@ -0,0 +1,104 @@ +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: vikingbot-data +spec: + accessModes: + - __ACCESS_MODES__ + __STORAGE_CLASS_CONFIG__ + __VOLUME_NAME_CONFIG__ + resources: + requests: + storage: 10Gi +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: vikingbot + labels: + app: vikingbot +spec: + replicas: __REPLICAS__ + selector: + matchLabels: + app: vikingbot + template: + metadata: + labels: + app: vikingbot + spec: + initContainers: + - name: init-dirs + image: __IMAGE_NAME__ + command: ["sh", "-c"] + args: + - | + mkdir -p /root/.vikingbot/workspace + mkdir -p /root/.vikingbot/sandboxes + mkdir -p /root/.vikingbot/bridge + echo 'Initialized vikingbot directories' + volumeMounts: + - name: vikingbot-data + mountPath: /root/.vikingbot + containers: + - name: vikingbot + image: __IMAGE_NAME__ + imagePullPolicy: Always + ports: + - containerPort: 18791 + volumeMounts: + - name: vikingbot-data + mountPath: /root/.vikingbot + resources: + requests: + cpu: "500m" + memory: "1Gi" + limits: + cpu: "2" + memory: "4Gi" + securityContext: + capabilities: + add: + - SYS_ADMIN + - SYS_CHROOT + - NET_ADMIN + privileged: true + livenessProbe: + httpGet: + path: /health + port: 18791 + initialDelaySeconds: 60 + periodSeconds: 30 + timeoutSeconds: 5 + failureThreshold: 3 + readinessProbe: + httpGet: + path: /health + port: 18791 + initialDelaySeconds: 10 + periodSeconds: 5 + timeoutSeconds: 3 + failureThreshold: 3 + env: + - name: OPENVIKING_CONFIG_FILE + value: /root/.vikingbot/ov.conf + command: ["vikingbot"] + args: ["gateway"] + volumes: + - name: vikingbot-data + persistentVolumeClaim: + claimName: vikingbot-data +--- +apiVersion: v1 +kind: Service +metadata: + name: vikingbot +spec: + type: ClusterIP + selector: + app: vikingbot + ports: + - protocol: TCP + port: 80 + targetPort: 18791 diff --git a/bot/deploy/vke/k8s/pvc-nas-example.yaml b/bot/deploy/vke/k8s/pvc-nas-example.yaml new file mode 100644 index 00000000..994badf8 --- /dev/null +++ b/bot/deploy/vke/k8s/pvc-nas-example.yaml @@ -0,0 +1,31 @@ +# NAS静态PV示例 +# 使用前请先创建NAS实例,并替换下面的配置 +apiVersion: v1 +kind: PersistentVolume +metadata: + name: vikingbot-nas-pv +spec: + capacity: + storage: 10Gi + accessModes: + - ReadWriteMany + persistentVolumeReclaimPolicy: Retain + csi: + driver: nas.csi.volcengine.com + volumeHandle: vikingbot-nas-pv + volumeAttributes: + server: your-nas-server-address # 替换为你的NAS服务器地址 + path: /your/nas/path # 替换为你的NAS路径 +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: vikingbot-data +spec: + accessModes: + - ReadWriteMany + resources: + requests: + storage: 10Gi + storageClassName: "" + volumeName: vikingbot-nas-pv diff --git a/bot/deploy/vke/k8s/pvc-tos-example.yaml b/bot/deploy/vke/k8s/pvc-tos-example.yaml new file mode 100644 index 00000000..b7820fb6 --- /dev/null +++ b/bot/deploy/vke/k8s/pvc-tos-example.yaml @@ -0,0 +1,32 @@ +# TOS静态PV示例 +# 使用前请先创建TOS桶,并替换下面的配置 +apiVersion: v1 +kind: PersistentVolume +metadata: + name: vikingbot-tos-pv +spec: + capacity: + storage: 10Gi + accessModes: + - ReadWriteOnce + persistentVolumeReclaimPolicy: Retain + csi: + driver: tos.csi.volcengine.com + volumeHandle: vikingbot-tos-pv + volumeAttributes: + bucket: your-tos-bucket-name # 替换为你的TOS桶名 + region: cn-beijing # 替换为你的TOS桶所在区域 + path: /vikingbot # 可选,桶内路径 +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: vikingbot-data +spec: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 10Gi + storageClassName: "" + volumeName: vikingbot-tos-pv diff --git a/bot/deploy/vke/k8s/pvc-tos.yaml b/bot/deploy/vke/k8s/pvc-tos.yaml new file mode 100644 index 00000000..eea5c1bf --- /dev/null +++ b/bot/deploy/vke/k8s/pvc-tos.yaml @@ -0,0 +1,35 @@ +apiVersion: v1 +kind: PersistentVolume +metadata: + name: vikingbot-tos-pv +spec: + capacity: + storage: 10Gi + accessModes: + - ReadWriteMany + persistentVolumeReclaimPolicy: Retain + csi: + driver: fsx.csi.volcengine.com + volumeHandle: vikingbot-tos-pv + volumeAttributes: + bucket: caas-snapshot + region: cn-beijing + path: / + subpath: / + type: TOS + server: tos-cn-beijing.ivolces.com + secretName: secret-tos-aksk + secretNamespace: default +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: vikingbot-data +spec: + accessModes: + - ReadWriteMany + resources: + requests: + storage: 10Gi + storageClassName: "" + volumeName: vikingbot-tos-pv diff --git a/bot/deploy/vke/vke_deploy.example.yaml b/bot/deploy/vke/vke_deploy.example.yaml new file mode 100644 index 00000000..17e4dc45 --- /dev/null +++ b/bot/deploy/vke/vke_deploy.example.yaml @@ -0,0 +1,87 @@ +# Vikingbot VKE 部署配置 +# 复制此文件到 ~/.config/vikingbot/vke_deploy.yaml 并填入你的信息 +# +# 详细文档请参考: deploy/vke/README.md + +# ── 火山引擎凭证 ────────────────────────────────────────────────────────────── +# +# 获取方式: +# 1. 登录火山引擎控制台 https://console.volcengine.com/ +# 2. 右上角头像 → API 访问密钥 → 新建密钥 +# +volcengine_access_key: AKLTxxxxxxxxxx +volcengine_secret_key: xxxxxxxxxx +volcengine_region: cn-beijing + +# ── VKE 集群信息 ──────────────────────────────────────────────────────────── +# +# 获取方式: +# 1. 进入容器服务 VKE → 集群 +# 2. 找到你的集群,集群 ID 形如 "ccxxxxxxxxxx" +# +vke_cluster_id: ccxxxxxxxxxx + +# ── 镜像仓库配置 ────────────────────────────────────────────────────────────── +# +# 镜像仓库地址格式: {namespace}-{region}.cr.volces.com +# +# 前置准备: +# 1. 进入容器镜像服务 CR → 命名空间,创建命名空间 "vikingbot" +# 2. 进入镜像仓库,创建仓库 "vikingbot" +# +image_registry: vikingbot-cn-beijing.cr.volces.com +image_namespace: vikingbot +image_repository: vikingbot + +# 镜像标签配置 +# use_timestamp_tag: 是否使用时间戳标签 (true/false) +# - true: 自动生成时间戳标签,格式: build-YYYYMMDD-HHMMSS +# - false: 使用 image_tag 指定的标签 +use_timestamp_tag: false +# image_tag: 固定标签 (仅当 use_timestamp_tag: false 时生效) +# - 可以设置为: latest, v1.0.0, build-123 等 +image_tag: latest +local_image_name: vikingbot-vke + +# 镜像仓库登录凭证(私有仓库需要) +# 用户名通常是你的火山引擎账号(手机号/邮箱) +# 密码是你的火山引擎登录密码 +registry_username: "" +registry_password: "" + +# ── 构建配置 ────────────────────────────────────────────────────────────────── +dockerfile_path: deploy/Dockerfile +build_context: . + +# ── Kubernetes 配置 ─────────────────────────────────────────────────────────── +# K8s manifest文件 +k8s_manifest_path: deploy/vke/k8s/deployment.yaml +k8s_namespace: default +k8s_deployment_name: vikingbot +k8s_replicas: 1 + +# kubeconfig 路径 +# 获取方式:VKE 控制台 → 集群 → 连接 → 下载 Kubeconfig +kubeconfig_path: ~/.kube/config + +# 部署等待配置 +wait_for_rollout: true +rollout_timeout: 120 + +# ── 存储配置 ────────────────────────────────────────────────────────────────── +# 存储类型选择 +# 可选值: +# - local (本地存储, 默认): 使用 EBS 云盘,AccessMode=ReadWriteOnce +# - tos (对象存储): 使用 TOS + CSI 驱动,AccessMode=ReadWriteMany +storage_type: local + +# TOS 配置 (仅当 storage_type=tos 时需要) +# +# 前置准备: +# 1. 进入对象存储 TOS → 存储桶列表 → 创建存储桶 +# 2. 桶名称: vikingbot_data(或自定义) +# 3. 地域选择与 VKE 集群相同的地域 +# +tos_bucket: vikingbot_data +tos_path: /.vikingbot/ +tos_region: cn-beijing diff --git a/bot/license/LICENSE b/bot/license/LICENSE new file mode 100644 index 00000000..24bdaccb --- /dev/null +++ b/bot/license/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025 nanobot contributors + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/bot/package-lock.json b/bot/package-lock.json new file mode 100644 index 00000000..d44d4c4a --- /dev/null +++ b/bot/package-lock.json @@ -0,0 +1,93 @@ +{ + "name": "bot", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "bot", + "version": "1.0.0", + "license": "ISC", + "dependencies": { + "@anthropic-ai/sandbox-runtime": "^0.0.37" + } + }, + "node_modules/@anthropic-ai/sandbox-runtime": { + "version": "0.0.37", + "resolved": "https://registry.npmjs.org/@anthropic-ai/sandbox-runtime/-/sandbox-runtime-0.0.37.tgz", + "integrity": "sha512-KKzHoe4blXQpTEtbFLKP76PHsUerqlG5UNN+MQvXf0SVZDtawP9hHc9HiMgzvUXST2OMYl2Sk27k18d6684eoQ==", + "license": 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"sha512-ObmnIF4hXNg1BqhnHmgbDETF8dLPCggZWBjkQfhZpbszZnYur5DUljTcCHii5LC3J5E0yeO/1LIMyH+UvHQgyw==", + "license": "MIT", + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/zod": { + "version": "3.25.76", + "resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz", + "integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==", + "license": "MIT", + "funding": { + "url": "https://github.com/sponsors/colinhacks" + } + } + } +} diff --git a/bot/package.json b/bot/package.json new file mode 100644 index 00000000..e74861d2 --- /dev/null +++ b/bot/package.json @@ -0,0 +1,19 @@ +{ + "name": "bot", + "version": "1.0.0", + "description": "**Vikingbot** is developed based on the project [nanobot](https://github.com/HKUDS/nanobot) , with the goal of providing an OpenClaw-like bot integrated with OpenViking.", + "main": "index.js", + "directories": { + "test": "tests" + }, + "scripts": { + "test": "echo \"Error: no test specified\" && exit 1" + }, + "keywords": [], + "author": "", + "license": "ISC", + "type": "commonjs", + "dependencies": { + "@anthropic-ai/sandbox-runtime": "^0.0.37" + } +} diff --git a/bot/pyproject.toml b/bot/pyproject.toml new file mode 100644 index 00000000..24503115 --- /dev/null +++ b/bot/pyproject.toml @@ -0,0 +1,110 @@ +[project] +name = "vikingbot" +version = "0.1.1" +description = "A lightweight personal AI assistant framework" +requires-python = ">=3.11, <=3.14" +license = {text = "MIT"} +authors = [ + {name = "vikingbot contributors"} +] +keywords = ["ai", "agent", "chatbot"] +classifiers = [ + "Development Status :: 3 - Alpha", + "Intended Audience :: Developers", + "License :: OSI Approved :: MIT License", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", +] + +dependencies = [ + "typer>=0.9.0", + "litellm>=1.0.0", + "pydantic>=2.0.0", + "pydantic-settings>=2.0.0", + "websockets>=12.0", + "websocket-client>=1.6.0", + "httpx[socks]>=0.25.0", + "loguru>=0.7.0", + "readability-lxml>=0.8.0", + "rich>=13.0.0", + "croniter>=2.0.0", + "dingtalk-stream>=0.4.0", + "python-telegram-bot[socks]>=21.0", + "lark-oapi>=1.0.0", + "socksio>=1.0.0", + "python-socketio>=5.11.0", + "msgpack>=1.0.8", + "slack-sdk>=3.26.0", + "qq-botpy>=1.0.0", + "python-socks[asyncio]>=2.4.0", + "prompt-toolkit>=3.0.0", + "textual>=0.50.0", + "pygments>=2.16.0", + "ddgs>=9.0.0", + "fastapi>=0.100.0", + "uvicorn>=0.20.0", + "opensandbox>=0.1.0", + "opensandbox-server>=0.1.0", + "agent-sandbox>=0.0.23", + "html2text>=2020.1.16", + "beautifulsoup4>=4.12.0", + "opencode-ai>=0.1.0a0", + "openviking>=0.1.18", + "tos>=2.9.0", + "gradio>=6.6.0", + "fusepy>=3.0.1", + "pytest>=9.0.2", +] + +[project.optional-dependencies] +dev = [ + "pytest>=7.0.0", + "pytest-asyncio>=0.21.0", + "ruff>=0.1.0", +] + +[project.scripts] +vikingbot = "vikingbot.cli.commands:app" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["vikingbot"] + +[tool.hatch.build.targets.wheel.sources] +"vikingbot" = "vikingbot" + +# Include non-Python files in skills and sandbox +[tool.hatch.build] +include = [ + "vikingbot/**/*.py", + "vikingbot/**/*.mjs", + "vikingbot/skills/**/*.md", + "vikingbot/skills/**/*.sh", + "vikingbot/console/static/**/*", +] + +[tool.hatch.build.targets.sdist] +include = [ + "vikingbot/", + "bridge/", + "README.md", + "LICENSE", +] + +[tool.hatch.build.targets.wheel.force-include] +"bridge" = "vikingbot/bridge" + +[tool.ruff] +line-length = 100 +target-version = "py311" + +[tool.ruff.lint] +select = ["E", "F", "I", "N", "W"] +ignore = ["E501"] + +[tool.pytest.ini_options] +asyncio_mode = "auto" +testpaths = ["tests"] diff --git a/bot/scripts/clean_vikingbot.py b/bot/scripts/clean_vikingbot.py new file mode 100755 index 00000000..0689281e --- /dev/null +++ b/bot/scripts/clean_vikingbot.py @@ -0,0 +1,155 @@ +#!/usr/bin/env python3 +""" +VikingBot一键清理脚本 + +清理以下内容: +- sessions/ - 会话文件 +- workspace/ - 工作空间文件 +- cron/ - 定时任务数据 +- 保留 config.json 配置文件 + +使用方法: + python clean_vikingbot.py # 交互式确认 + python clean_vikingbot.py --yes # 不确认直接删除 + python clean_vikingbot.py --dry-run # 预览删除内容,不实际删除 +""" + +import sys +import shutil +from pathlib import Path + + +def is_dry_run() -> bool: + """检查是否是预览模式""" + return "--dry-run" in sys.argv + + +def get_vikingbot_dir() -> Path: + """获取vikingbot数据目录""" + return Path.home() / ".vikingbot" + + +def confirm_action(message: str) -> bool: + """交互式确认""" + if "--yes" in sys.argv or "-y" in sys.argv: + return True + + try: + response = input(f"\n{message} (y/N): ").strip().lower() + return response in ["y", "yes"] + except (EOFError, KeyboardInterrupt): + print("\n\n⏭️ 跳过操作") + return False + + +def clean_directory(dir_path: Path, description: str) -> bool: + """清理指定目录""" + if not dir_path.exists(): + print(f" ℹ️ {description} 不存在,跳过") + return True + + if not confirm_action(f"确定要删除 {description} 吗?"): + print(f" ⏭️ 跳过删除 {description}") + return False + + if is_dry_run(): + print(f" [预览] 将删除 {description}") + return True + + try: + shutil.rmtree(dir_path) + print(f" ✅ 已删除 {description}") + return True + except Exception as e: + print(f" ❌ 删除 {description} 失败: {e}") + return False + + +def delete_file(file_path: Path, description: str) -> bool: + """删除指定文件""" + if not file_path.exists(): + return True + + if is_dry_run(): + print(f" [预览] 将删除 {description}") + return True + + try: + file_path.unlink() + print(f" ✅ 已删除 {description}") + return True + except Exception as e: + print(f" ❌ 删除 {description} 失败: {e}") + return False + + +def main(): + """主函数""" + print("=" * 60) + print("🧹 VikingBot 一键清理工具") + print("=" * 60) + + if is_dry_run(): + print("\n[预览模式] 不会实际删除任何文件") + + vikingbot_dir = get_vikingbot_dir() + + if not vikingbot_dir.exists(): + print(f"\n⚠️ VikingBot目录不存在: {vikingbot_dir}") + print(" 没有需要清理的内容") + return 0 + + print(f"\n📂 VikingBot目录: {vikingbot_dir}") + print("\n将清理以下内容:") + print(" 1. sessions/ - 会话文件") + print(" 2. workspace/ - 工作空间文件") + print(" 3. cron/ - 定时任务数据") + print(" 4. sandboxes/ - 沙箱数据") + print(" 5. bridge/ - Bridge数据") + print("\n⚠️ 注意: config.json 配置文件将保留") + + # 统计清理前的文件 + total_deleted = 0 + items_to_clean = [ + ("sessions", "sessions/ 会话目录"), + ("workspace", "workspace/ 工作空间"), + ("cron", "cron/ 定时任务数据"), + ("sandboxes", "sandboxes/ 沙箱目录"), + ("bridge", "bridge/ Bridge目录"), + ] + + print("\n" + "-" * 60) + for dir_name, description in items_to_clean: + dir_path = vikingbot_dir / dir_name + if clean_directory(dir_path, description): + total_deleted += 1 + + # 检查是否还有其他临时文件(配置备份文件默认不删除) + print("\n" + "-" * 60) + print("检查临时文件...") + + # 只显示配置备份文件,但不删除 + backup_files = list(vikingbot_dir.glob("config*.json")) + backup_files = [f for f in backup_files if f.name != "config.json"] + + if backup_files: + print(f"\n发现 {len(backup_files)} 个配置备份文件(不自动删除):") + for f in backup_files: + print(f" - {f.name}") + print("\n💡 如需删除这些备份文件,请手动删除或修改脚本启用此功能") + + print("\n" + "=" * 60) + if is_dry_run(): + print("📋 [预览模式] 以上是将要删除的内容预览") + elif total_deleted > 0: + print(f"✅ 清理完成!共删除了 {total_deleted} 个目录") + else: + print("ℹ️ 没有需要清理的内容") + print("\n💡 下次运行 vikingbot 时,workspace 会自动重新初始化") + print("=" * 60) + + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/bot/scripts/start_vikingbot_in_ecs.sh b/bot/scripts/start_vikingbot_in_ecs.sh new file mode 100755 index 00000000..a3cc6a9f --- /dev/null +++ b/bot/scripts/start_vikingbot_in_ecs.sh @@ -0,0 +1,43 @@ +#!/bin/bash +# VikingBot Gateway 启动脚本 + +# 获取脚本所在目录 +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +PROJECT_ROOT="$(dirname "$SCRIPT_DIR")" + +cd "$PROJECT_ROOT" +# 激活虚拟环境 +echo "Uv sync..." +uv sync + +# 激活虚拟环境 +echo "Activating virtual environment..." +source "$PROJECT_ROOT/.venv/bin/activate" + +# 确保日志目录存在 +LOG_DIR="$HOME/logs" +mkdir -p "$LOG_DIR" +LOG_FILE="$LOG_DIR/output.log" + +# 查找并 kill 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@@ -0,0 +1,11 @@ +""" +Entry point for running vikingbot as a module: python -m vikingbot +""" + +import sys + +from vikingbot.cli.commands import app + +if __name__ == "__main__": + # sys.argv = sys.argv + ['gateway'] + app() diff --git a/bot/vikingbot/agent/__init__.py b/bot/vikingbot/agent/__init__.py new file mode 100644 index 00000000..4681630b --- /dev/null +++ b/bot/vikingbot/agent/__init__.py @@ -0,0 +1,8 @@ +"""Agent core module.""" + +from vikingbot.agent.loop import AgentLoop +from vikingbot.agent.context import ContextBuilder +from vikingbot.agent.memory import MemoryStore +from vikingbot.agent.skills import SkillsLoader + +__all__ = ["AgentLoop", "ContextBuilder", "MemoryStore", "SkillsLoader"] diff --git a/bot/vikingbot/agent/context.py b/bot/vikingbot/agent/context.py new file mode 100644 index 00000000..40c36e50 --- /dev/null +++ b/bot/vikingbot/agent/context.py @@ -0,0 +1,305 @@ +"""Context builder for assembling agent prompts.""" + +import base64 +import mimetypes +import platform +from pathlib import Path +from typing import Any + +from loguru import logger + +from vikingbot.agent.memory import MemoryStore +from vikingbot.agent.skills import SkillsLoader +from vikingbot.config.schema import SessionKey +from vikingbot.sandbox import SandboxManager + + +class ContextBuilder: + """ + Builds the context (system prompt + messages) for the agent. + + Assembles bootstrap files, memory, skills, and conversation history + into a coherent prompt for the LLM. + """ + + BOOTSTRAP_FILES = ["AGENTS.md", "SOUL.md", "TOOLS.md", "IDENTITY.md"] + INIT_DIR = "init" + + def __init__( + self, + workspace: Path, + sandbox_manager: SandboxManager | None = None, + ): + self.workspace = workspace + self._templates_ensured = False + self.sandbox_manager = sandbox_manager + self._memory = None + self._skills = None + + @property + def memory(self): + """Lazy-load MemoryStore when first needed.""" + if self._memory is None: + self._memory = MemoryStore(self.workspace) + return self._memory + + @property + def skills(self): + """Lazy-load SkillsLoader when first needed.""" + if self._skills is None: + self._skills = SkillsLoader(self.workspace) + return self._skills + + def _ensure_templates_once(self): + """Ensure workspace templates only once, when first needed.""" + if not self._templates_ensured: + from vikingbot.utils.helpers import ensure_workspace_templates + + ensure_workspace_templates(self.workspace) + self._templates_ensured = True + + async def build_system_prompt( + self, session_key: SessionKey, current_message: str, history: list[dict[str, Any]] + ) -> str: + """ + Build the system prompt from bootstrap files, memory, and skills. + + Args: + skill_names: Optional list of skills to include. + + Returns: + Complete system prompt. + """ + # Ensure workspace templates exist only when first needed + self._ensure_templates_once() + sandbox_key = self.sandbox_manager.to_sandbox_key(session_key) + + parts = [] + + # Core identity + parts.append(await self._get_identity(session_key)) + + # Sandbox environment info + if self.sandbox_manager: + sandbox_cwd = await self.sandbox_manager.get_sandbox_cwd(session_key) + + parts.append( + f"## Sandbox Environment\n\nYou are running in a sandboxed environment. All file operations and command execution are restricted to the sandbox directory.\nThe sandbox root directory is `{sandbox_cwd}` (use relative paths for all operations)." + ) + + # Viking user profile + profile = await self.memory.get_viking_user_profile(sandbox_key=sandbox_key) + if profile: + parts.append(profile) + + # Viking memory + viking_memory = await self.memory.get_viking_memory_context( + current_message=current_message, sandbox_key=sandbox_key + ) + if viking_memory: + parts.append(viking_memory) + + # Bootstrap files + bootstrap = self._load_bootstrap_files() + if bootstrap: + parts.append(bootstrap) + + # Memory context + # memory = self.memory.get_memory_context() + # if memory: + # parts.append(f"# Memory\n\n{memory}") + + # Skills - progressive loading + # 1. Always-loaded skills: include full content + always_skills = self.skills.get_always_skills() + if always_skills: + always_content = self.skills.load_skills_for_context(always_skills) + if always_content: + parts.append(f"# Active Skills\n\n{always_content}") + + # 2. Available skills: only show summary (agent uses read_file to load) + skills_summary = self.skills.build_skills_summary() + if skills_summary: + parts.append(f"""# Skills + +The following skills extend your capabilities. To use a skill, read its SKILL.md file using the read_file tool. +Skills with available="false" need dependencies installed first - you can try installing them with apt/brew. + +{skills_summary}""") + + return "\n\n---\n\n".join(parts) + + async def _get_identity(self, session_key: SessionKey) -> str: + """Get the core identity section.""" + from datetime import datetime + import time as _time + + now = datetime.now().strftime("%Y-%m-%d %H:%M (%A)") + tz = _time.strftime("%Z") or "UTC" + workspace_path = str(self.workspace.expanduser().resolve()) + system = platform.system() + runtime = f"{'macOS' if system == 'Darwin' else system} {platform.machine()}, Python {platform.python_version()}" + + # Determine workspace display based on sandbox state + if self.sandbox_manager: + workspace_display = await self.sandbox_manager.get_sandbox_cwd(session_key) + else: + workspace_display = workspace_path + + return f"""# vikingbot 🐈 + +You are VikingBot, an AI assistant built based on the OpenViking context database. +When acquiring information, data, and knowledge, you **prioritize using openviking tools to read and search OpenViking (a context database) above all other sources**. +You have access to tools that allow you to: +- Read, search, and grep OpenViking files +- Read, write, and edit local files +- Execute shell commands +- Search the web and fetch web pages +- Send messages to users on chat channels +- Spawn subagents for complex background tasks + +## Current Time +{now} ({tz}) + +## Runtime +{runtime} + +## Workspace +You have two workspaces: +1. Local workspace: {workspace_display} +2. OpenViking workspace: managed via OpenViking tools +- Long-term memory: using user_memory_search tool to search memory +- History log: tow types, a. using user_memory_search tool to search history; b. memory/HISTORY.md (grep-searchable) +- Custom skills: {workspace_display}/skills/{{skill-name}}/SKILL.md + +IMPORTANT: When responding to direct questions or conversations, reply directly with your text response. +Please keep your reply in the same language as the user's message. +Only use the 'message' tool when you need to send a message to a specific chat channel (like WhatsApp). +For normal conversation, just respond with text - do not call the message tool. +Always be helpful, accurate, and concise. When using tools, think step by step: what you know, what you need, and why you chose this tool. + +## Memory +- Remember important facts: using openviking_memory_commit tool to commit +- Recall past events: prioritize using user_memory_search tool to search history, or grep {workspace_display}/memory/HISTORY.md""" + + def _load_bootstrap_files(self) -> str: + """Load all bootstrap files from workspace.""" + parts = [] + + for filename in self.BOOTSTRAP_FILES: + file_path = self.workspace / filename + if file_path.exists(): + content = file_path.read_text(encoding="utf-8") + parts.append(f"## {filename}\n\n{content}") + + return "\n\n".join(parts) if parts else "" + + async def build_messages( + self, + history: list[dict[str, Any]], + current_message: str, + skill_names: list[str] | None = None, + media: list[str] | None = None, + session_key: SessionKey | None = None, + ) -> list[dict[str, Any]]: + """ + Build the complete message list for an LLM call. + + Args: + history: Previous conversation messages. + current_message: The new user message. + skill_names: Optional skills to include. + media: Optional list of local file paths for images/media. + channel: Current channel (telegram, feishu, etc.). + chat_id: Current chat/user ID. + + Returns: + List of messages including system prompt. + """ + messages = [] + + # System prompt + system_prompt = await self.build_system_prompt(session_key, current_message, history) + if session_key.channel_id and session_key.chat_id: + system_prompt += f"\n\n## Current Session\nChannel: {session_key.type}:{session_key.channel_id}\nChat ID: {session_key.chat_id}" + messages.append({"role": "system", "content": system_prompt}) + # logger.debug(f"system_prompt: {system_prompt}") + + # History + messages.extend(history) + + # Current message (with optional image attachments) + user_content = self._build_user_content(current_message, media) + messages.append({"role": "user", "content": user_content}) + + return messages + + def _build_user_content(self, text: str, media: list[str] | None) -> str | list[dict[str, Any]]: + """Build user message content with optional base64-encoded images.""" + if not media: + return text + + images = [] + for path in media: + p = Path(path) + mime, _ = mimetypes.guess_type(path) + if not p.is_file() or not mime or not mime.startswith("image/"): + continue + b64 = base64.b64encode(p.read_bytes()).decode() + images.append({"type": "image_url", "image_url": {"url": f"data:{mime};base64,{b64}"}}) + images.append({"type": "text", "text": f"image saved to {path}"}) + + if not images: + return text + return images + [{"type": "text", "text": text}] + + def add_tool_result( + self, messages: list[dict[str, Any]], tool_call_id: str, tool_name: str, result: str + ) -> list[dict[str, Any]]: + """ + Add a tool result to the message list. + + Args: + messages: Current message list. + tool_call_id: ID of the tool call. + tool_name: Name of the tool. + result: Tool execution result. + + Returns: + Updated message list. + """ + messages.append( + {"role": "tool", "tool_call_id": tool_call_id, "name": tool_name, "content": result} + ) + return messages + + def add_assistant_message( + self, + messages: list[dict[str, Any]], + content: str | None, + tool_calls: list[dict[str, Any]] | None = None, + reasoning_content: str | None = None, + ) -> list[dict[str, Any]]: + """ + Add an assistant message to the message list. + + Args: + messages: Current message list. + content: Message content. + tool_calls: Optional tool calls. + reasoning_content: Thinking output (Kimi, DeepSeek-R1, etc.). + + Returns: + Updated message list. + """ + msg: dict[str, Any] = {"role": "assistant", "content": content or ""} + + if tool_calls: + msg["tool_calls"] = tool_calls + + # Thinking models reject history without this + if reasoning_content: + msg["reasoning_content"] = reasoning_content + + messages.append(msg) + return messages diff --git a/bot/vikingbot/agent/loop.py b/bot/vikingbot/agent/loop.py new file mode 100644 index 00000000..11962ccd --- /dev/null +++ b/bot/vikingbot/agent/loop.py @@ -0,0 +1,550 @@ +"""Agent loop: the core processing engine.""" + +import asyncio +import json +import time +from dataclasses import dataclass, field +from datetime import datetime +from enum import Enum +from pathlib import Path + +from loguru import logger + +from vikingbot.agent.context import ContextBuilder +from vikingbot.agent.memory import MemoryStore +from vikingbot.agent.subagent import SubagentManager +from vikingbot.agent.tools import register_default_tools +from vikingbot.agent.tools.registry import ToolRegistry +from vikingbot.bus.events import InboundMessage, OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.config.schema import Config +from vikingbot.config.schema import SessionKey +from vikingbot.hooks import HookContext +from vikingbot.hooks.manager import hook_manager +from vikingbot.providers.base import LLMProvider +from vikingbot.sandbox import SandboxManager +from vikingbot.session.manager import SessionManager +from vikingbot.utils.helpers import cal_str_tokens + + +class ThinkingStepType(Enum): + """思考步骤类型(简化版本,避免循环依赖)""" + + REASONING = "reasoning" + TOOL_CALL = "tool_call" + TOOL_RESULT = "tool_result" + ITERATION = "iteration" + + +@dataclass +class ThinkingStep: + """单个思考步骤(简化版本,避免循环依赖)""" + + step_type: ThinkingStepType + content: str + timestamp: datetime = field(default_factory=datetime.now) + metadata: dict = field(default_factory=dict) + + +class AgentLoop: + """ + The agent loop is the core processing engine. + + It: + 1. Receives messages from the bus + 2. Builds context with history, memory, skills + 3. Calls the LLM + 4. Executes tool calls + 5. Sends responses back + """ + + def __init__( + self, + bus: MessageBus, + provider: LLMProvider, + workspace: Path, + model: str | None = None, + max_iterations: int = 50, + memory_window: int = 50, + brave_api_key: str | None = None, + exa_api_key: str | None = None, + gen_image_model: str | None = None, + exec_config: "ExecToolConfig | None" = None, + cron_service: "CronService | None" = None, + session_manager: SessionManager | None = None, + sandbox_manager: SandboxManager | None = None, + thinking_callback=None, + config: Config = None, + ): + from vikingbot.config.schema import ExecToolConfig + + self.bus = bus + self.provider = provider + self.workspace = workspace + self.model = model or provider.get_default_model() + self.max_iterations = max_iterations + self.memory_window = memory_window + self.brave_api_key = brave_api_key + self.exa_api_key = exa_api_key + self.gen_image_model = gen_image_model or "openai/doubao-seedream-4-5-251128" + self.exec_config = exec_config or ExecToolConfig() + self.cron_service = cron_service + self.sandbox_manager = sandbox_manager + self.config = config + + self.context = ContextBuilder(workspace, sandbox_manager=sandbox_manager) + + self._register_builtin_hooks() + self.sessions = session_manager or SessionManager( + workspace, sandbox_manager=sandbox_manager + ) + self.tools = ToolRegistry() + self.subagents = SubagentManager( + provider=provider, + workspace=workspace, + bus=bus, + config=self.config, + model=self.model, + sandbox_manager=sandbox_manager, + ) + + self._running = False + self.thinking_callback = thinking_callback + self._register_default_tools() + + def _register_builtin_hooks(self): + """Register built-in hooks.""" + hook_manager.register_path(self.config.hooks) + + def _register_default_tools(self) -> None: + """Register default set of tools.""" + register_default_tools( + registry=self.tools, + config=self.config, + send_callback=self.bus.publish_outbound, + subagent_manager=self.subagents, + cron_service=self.cron_service, + ) + + async def run(self) -> None: + """Run the agent loop, processing messages from the bus.""" + self._running = True + logger.info("Agent loop started") + + while self._running: + try: + # Wait for next message + msg = await asyncio.wait_for(self.bus.consume_inbound(), timeout=1.0) + + # Process it + try: + response = await self._process_message(msg) + if response: + await self.bus.publish_outbound(response) + except Exception as e: + logger.exception(f"Error processing message: {e}") + # Send error response + await self.bus.publish_outbound( + OutboundMessage( + session_key=msg.session_key, + content=f"Sorry, I encountered an error: {str(e)}", + ) + ) + except asyncio.TimeoutError: + continue + + def stop(self) -> None: + """Stop the agent loop.""" + self._running = False + logger.info("Agent loop stopping") + + async def _process_message(self, msg: InboundMessage) -> OutboundMessage | None: + """ + Process a single inbound message. + + Args: + msg: The inbound message to process. + session_key: Override session key (used by process_direct). + + Returns: + The response message, or None if no response needed. + """ + # Handle system messages (subagent announces) + # The chat_id contains the original "channel:chat_id" to route back to + if msg.session_key.type == "system": + return await self._process_system_message(msg) + + preview = msg.content[:80] + "..." if len(msg.content) > 80 else msg.content + logger.info(f"Processing message from {msg.session_key}:{msg.sender_id}: {preview}") + + # Get or create session + session_key = msg.session_key + # For CLI/direct sessions, skip heartbeat by default + skip_heartbeat = session_key.type in ("cli", "tui") + session = self.sessions.get_or_create(session_key, skip_heartbeat=skip_heartbeat) + + # Handle slash commands + cmd = msg.content.strip().lower() + if cmd == "/new": + await self._consolidate_memory(session, archive_all=True) + session.clear() + self.sessions.save(session) + return OutboundMessage( + session_key=msg.session_key, content="🐈 New session started. Memory consolidated." + ) + if cmd == "/help": + return OutboundMessage( + session_key=msg.session_key, + content="🐈 vikingbot commands:\n/new — Start a new conversation\n/help — Show available commands", + ) + + # Consolidate memory before processing if session is too large + if len(session.messages) > self.memory_window: + await self._consolidate_memory(session) + + if self.sandbox_manager: + message_workspace = self.sandbox_manager.get_workspace_path(session_key) + else: + message_workspace = self.workspace + + from vikingbot.agent.context import ContextBuilder + + message_context = ContextBuilder(message_workspace, sandbox_manager=self.sandbox_manager) + + # Build initial messages (use get_history for LLM-formatted messages) + messages = await message_context.build_messages( + history=session.get_history(), + current_message=msg.content, + media=msg.media if msg.media else None, + session_key=msg.session_key, + ) + + # Agent loop + iteration = 0 + final_content = None + tools_used: list[dict] = [] + + while iteration < self.max_iterations: + iteration += 1 + + # 回调:迭代开始 + if self.thinking_callback: + self.thinking_callback( + ThinkingStep( + step_type=ThinkingStepType.ITERATION, + content=f"Iteration {iteration}/{self.max_iterations}", + metadata={"iteration": iteration}, + ) + ) + + # Call LLM + response = await self.provider.chat( + messages=messages, tools=self.tools.get_definitions(), model=self.model + ) + + # 回调:推理内容 + if response.reasoning_content and self.thinking_callback: + self.thinking_callback( + ThinkingStep( + step_type=ThinkingStepType.REASONING, + content=response.reasoning_content, + metadata={}, + ) + ) + + # Handle tool calls + if response.has_tool_calls: + args_list = [tc.arguments for tc in response.tool_calls] + tool_call_dicts = [ + { + "id": tc.id, + "type": "function", + "function": { + "name": tc.name, + "arguments": json.dumps(args), # Use truncated args + }, + } + for tc, args in zip(response.tool_calls, args_list) + ] + messages = self.context.add_assistant_message( + messages, + response.content, + tool_call_dicts, + reasoning_content=response.reasoning_content, + ) + + # Execute tools + for tool_call in response.tool_calls: + args_str = json.dumps(tool_call.arguments, ensure_ascii=False) + + # 回调:工具调用 + if self.thinking_callback: + self.thinking_callback( + ThinkingStep( + step_type=ThinkingStepType.TOOL_CALL, + content=f"{tool_call.name}({args_str})", + metadata={"tool": tool_call.name, "args": tool_call.arguments}, + ) + ) + + logger.info(f"[TOOL_CALL]: {tool_call.name}({args_str[:200]})") + tool_execute_start_time = time.time() + result = await self.tools.execute( + tool_call.name, + tool_call.arguments, + session_key=session_key, + sandbox_manager=self.sandbox_manager, + ) + tool_execute_duration = (time.time() - tool_execute_start_time) * 1000 + logger.info(f"[RESULT]: {str(result)[:600]}") + + # 回调:工具结果 + if self.thinking_callback: + result_str = str(result) + if len(result_str) > 500: + result_str = result_str[:500] + "..." + self.thinking_callback( + ThinkingStep( + step_type=ThinkingStepType.TOOL_RESULT, + content=result_str, + metadata={"tool": tool_call.name}, + ) + ) + + messages = self.context.add_tool_result( + messages, tool_call.id, tool_call.name, result + ) + + tool_used_dict = { + "tool_name": tool_call.name, + "args": args_str, + "result": result, + "duration": tool_execute_duration, + "execute_success": True + if result and "Error executing" not in result + else False, + "input_token": tool_call.tokens, + "output_token": cal_str_tokens(result, text_type="mixed"), + } + tools_used.append(tool_used_dict) + # Interleaved CoT: reflect before next action + messages.append( + {"role": "user", "content": "Reflect on the results and decide next steps."} + ) + else: + # No tool calls, we're done + final_content = response.content + break + + if final_content is None: + if iteration >= self.max_iterations: + final_content = f"Reached {self.max_iterations} iterations without completion." + else: + final_content = "I've completed processing but have no response to give." + + # Log response preview + preview = final_content[:120] + "..." if len(final_content) > 120 else final_content + logger.info(f"Response to {msg.session_key}: {preview}") + + # Save to session (include tool names so consolidation sees what happened) + session.add_message("user", msg.content) + session.add_message( + "assistant", final_content, tools_used=tools_used if tools_used else None + ) + self.sessions.save(session) + + return OutboundMessage( + session_key=msg.session_key, + content=final_content, + metadata=msg.metadata + or {}, # Pass through for channel-specific needs (e.g. Slack thread_ts) + ) + + async def _process_system_message(self, msg: InboundMessage) -> OutboundMessage | None: + """ + Process a system message (e.g., subagent announce). + + The chat_id field contains "original_channel:original_chat_id" to route + the response back to the correct destination. + """ + logger.info(f"Processing system message from {msg.sender_id}") + + session = self.sessions.get_or_create(msg.session_key) + + # Build messages with the announce content + messages = await self.context.build_messages( + history=session.get_history(), current_message=msg.content, session_key=msg.session_key + ) + + # Agent loop (limited for announce handling) + iteration = 0 + final_content = None + + while iteration < self.max_iterations: + iteration += 1 + + response = await self.provider.chat( + messages=messages, tools=self.tools.get_definitions(), model=self.model + ) + + if response.has_tool_calls: + tool_call_dicts = [ + { + "id": tc.id, + "type": "function", + "function": {"name": tc.name, "arguments": json.dumps(tc.arguments)}, + } + for tc in response.tool_calls + ] + messages = self.context.add_assistant_message( + messages, + response.content, + tool_call_dicts, + reasoning_content=response.reasoning_content, + ) + + for tool_call in response.tool_calls: + args_str = json.dumps(tool_call.arguments, ensure_ascii=False) + logger.info(f"Tool call: {tool_call.name}({args_str[:200]})") + result = await self.tools.execute( + tool_call.name, + tool_call.arguments, + session_key=msg.session_key, + sandbox_manager=self.sandbox_manager, + ) + messages = self.context.add_tool_result( + messages, tool_call.id, tool_call.name, result + ) + # Interleaved CoT: reflect before next action + messages.append( + {"role": "user", "content": "Reflect on the results and decide next steps."} + ) + else: + final_content = response.content + break + + if final_content is None: + final_content = "Background task completed." + + # Save to session (mark as system message in history) + session.add_message("user", f"[System: {msg.sender_id}] {msg.content}") + session.add_message("assistant", final_content) + self.sessions.save(session) + + return OutboundMessage(session_key=msg.session_key, content=final_content) + + async def _consolidate_memory(self, session, archive_all: bool = False) -> None: + """Consolidate old messages into MEMORY.md + HISTORY.md, then trim session.""" + if not session.messages: + return + + # use openviking tools to extract memory + await hook_manager.execute_hooks( + context=HookContext( + event_type="message.compact", + session_id=session.key.safe_name(), + sandbox_key=self.sandbox_manager.to_sandbox_key(session.key), + ), + session=session, + ) + + if self.sandbox_manager: + memory_workspace = self.sandbox_manager.get_workspace_path(session.key) + else: + memory_workspace = self.workspace + + memory = MemoryStore(memory_workspace) + if archive_all: + old_messages = session.messages + keep_count = 0 + else: + keep_count = min(10, max(2, self.memory_window // 2)) + old_messages = session.messages[:-keep_count] + if not old_messages: + return + logger.info( + f"Memory consolidation started: {len(session.messages)} messages, archiving {len(old_messages)}, keeping {keep_count}" + ) + + # Format messages for LLM (include tool names when available) + lines = [] + for m in old_messages: + if not m.get("content"): + continue + tools_used = m.get("tools_used", []) + if tools_used and isinstance(tools_used, list): + tool_names = [ + tc.get("tool_name", "unknown") for tc in tools_used if isinstance(tc, dict) + ] + tools_str = f" [tools: {', '.join(tool_names)}]" if tool_names else "" + else: + tools_str = "" + lines.append( + f"[{m.get('timestamp', '?')[:16]}] {m['role'].upper()}{tools_str}: {m['content']}" + ) + conversation = "\n".join(lines) + current_memory = memory.read_long_term() + + prompt = f"""You are a memory consolidation agent. Process this conversation and return a JSON object with exactly two keys: + +1. "history_entry": A paragraph (2-5 sentences) summarizing the key events/decisions/topics. Start with a timestamp like [YYYY-MM-DD HH:MM]. Include enough detail to be useful when found by grep search later. + +2. "memory_update": The updated long-term memory content. Add any new facts: user location, preferences, personal info, habits, project context, technical decisions, tools/services used. If nothing new, return the existing content unchanged. + +## Current Long-term Memory +{current_memory or "(empty)"} + +## Conversation to Process +{conversation} + +Respond with ONLY valid JSON, no markdown fences.""" + + try: + response = await self.provider.chat( + messages=[ + { + "role": "system", + "content": "You are a memory consolidation agent. Respond only with valid JSON.", + }, + {"role": "user", "content": prompt}, + ], + model=self.model, + ) + text = (response.content or "").strip() + if text.startswith("```"): + text = text.split("\n", 1)[-1].rsplit("```", 1)[0].strip() + result = json.loads(text) + + if entry := result.get("history_entry"): + memory.append_history(entry) + if update := result.get("memory_update"): + if update != current_memory: + memory.write_long_term(update) + + session.messages = session.messages[-keep_count:] if keep_count else [] + self.sessions.save(session) + logger.info( + f"Memory consolidation done, session trimmed to {len(session.messages)} messages" + ) + except Exception as e: + logger.exception(f"Memory consolidation failed: {e}") + + async def process_direct( + self, + content: str, + session_key: SessionKey = SessionKey(type="cli", channel_id="default", chat_id="direct"), + ) -> str: + """ + Process a message directly (for CLI or cron usage). + + Args: + content: The message content. + session_key: Session identifier (overrides channel:chat_id for session lookup). + + Returns: + The agent's response. + """ + msg = InboundMessage(session_key=session_key, sender_id="user", content=content) + + response = await self._process_message(msg) + return response.content if response else "" diff --git a/bot/vikingbot/agent/memory.py b/bot/vikingbot/agent/memory.py new file mode 100644 index 00000000..a8be18f9 --- /dev/null +++ b/bot/vikingbot/agent/memory.py @@ -0,0 +1,71 @@ +"""Memory system for persistent agent memory.""" + +from vikingbot.config.loader import load_config +from pathlib import Path +from typing import Any + +from vikingbot.openviking_mount.ov_server import VikingClient +from vikingbot.utils.helpers import ensure_dir + + +class MemoryStore: + """Two-layer memory: MEMORY.md (long-term facts) + HISTORY.md (grep-searchable log).""" + + def __init__(self, workspace: Path): + self.memory_dir = ensure_dir(workspace / "memory") + self.memory_file = self.memory_dir / "MEMORY.md" + self.history_file = self.memory_dir / "HISTORY.md" + config = load_config() + ov_config = config.openviking + self.user_id = ov_config.user_id if ov_config.mode == "remote" else "default" + + def read_long_term(self) -> str: + if self.memory_file.exists(): + return self.memory_file.read_text(encoding="utf-8") + return "" + + def _parse_viking_memory(self, result: Any) -> str: + if result and len(result) > 0: + user_memories = [] + for idx, memory in enumerate(result, start=1): + user_memories.append( + f"{idx}. {getattr(memory, 'abstract', '')}; " + f"uri: {getattr(memory, 'uri', '')}; " + f"isDir: {getattr(memory, 'is_leaf', False)}; " + f"related score: {getattr(memory, 'score', 0.0)}" + ) + return "\n".join(user_memories) + return "" + + def write_long_term(self, content: str) -> None: + self.memory_file.write_text(content, encoding="utf-8") + + def append_history(self, entry: str) -> None: + with open(self.history_file, "a", encoding="utf-8") as f: + f.write(entry.rstrip() + "\n\n") + + def get_memory_context(self) -> str: + long_term = self.read_long_term() + return f"## Long-term Memory\n{long_term}" if long_term else "" + + async def get_viking_memory_context(self, current_message: str, sandbox_key: str) -> str: + client = await VikingClient.create(agent_id=sandbox_key) + result = await client.search_memory(current_message, limit=5) + if not result: + return "" + user_memory = self._parse_viking_memory(result["user_memory"]) + agent_memory = self._parse_viking_memory(result["agent_memory"]) + return ( + f"## Related memories.Using tools to read more details.\n" + f"### user memories:\n{user_memory}\n" + f"### agent memories:\n{agent_memory}" + ) + + async def get_viking_user_profile(self, sandbox_key: str) -> str: + client = await VikingClient.create(agent_id=sandbox_key) + result = await client.read_content( + uri=f"viking://user/{self.user_id}/memories/profile.md", level="read" + ) + if not result: + return "" + return f"## User Information\n{result}" diff --git a/bot/vikingbot/agent/skills.py b/bot/vikingbot/agent/skills.py new file mode 100644 index 00000000..ab07ff4f --- /dev/null +++ b/bot/vikingbot/agent/skills.py @@ -0,0 +1,232 @@ +"""Skills loader for agent capabilities.""" + +import json +import os +import re +import shutil +from pathlib import Path + +# Default builtin skills directory (relative to this file) +BUILTIN_SKILLS_DIR = Path(__file__).parent.parent.parent / "workspace" / "skills" + + +class SkillsLoader: + """ + Loader for agent skills. + + Skills are markdown files (SKILL.md) that teach the agent how to use + specific tools or perform certain tasks. + """ + + def __init__(self, workspace: Path, builtin_skills_dir: Path | None = None): + self.workspace = workspace + self.workspace_skills = workspace / "skills" + self.builtin_skills = builtin_skills_dir or BUILTIN_SKILLS_DIR + + def list_skills(self, filter_unavailable: bool = True) -> list[dict[str, str]]: + """ + List all available skills. + + Args: + filter_unavailable: If True, filter out skills with unmet requirements. + + Returns: + List of skill info dicts with 'name', 'path', 'source'. + """ + skills = [] + + # Workspace skills (highest priority) + if self.workspace_skills.exists(): + for skill_dir in self.workspace_skills.iterdir(): + if skill_dir.is_dir(): + skill_file = skill_dir / "SKILL.md" + if skill_file.exists(): + skills.append( + {"name": skill_dir.name, "path": str(skill_file), "source": "workspace"} + ) + + # Built-in skills + if self.builtin_skills and self.builtin_skills.exists(): + for skill_dir in self.builtin_skills.iterdir(): + if skill_dir.is_dir(): + skill_file = skill_dir / "SKILL.md" + if skill_file.exists() and not any(s["name"] == skill_dir.name for s in skills): + skills.append( + {"name": skill_dir.name, "path": str(skill_file), "source": "builtin"} + ) + + # Filter by requirements + if filter_unavailable: + return [s for s in skills if self._check_requirements(self._get_skill_meta(s["name"]))] + return skills + + def load_skill(self, name: str) -> str | None: + """ + Load a skill by name. + + Args: + name: Skill name (directory name). + + Returns: + Skill content or None if not found. + """ + # Check workspace first + workspace_skill = self.workspace_skills / name / "SKILL.md" + if workspace_skill.exists(): + return workspace_skill.read_text(encoding="utf-8") + + # Check built-in + if self.builtin_skills: + builtin_skill = self.builtin_skills / name / "SKILL.md" + if builtin_skill.exists(): + return builtin_skill.read_text(encoding="utf-8") + + return None + + def load_skills_for_context(self, skill_names: list[str]) -> str: + """ + Load specific skills for inclusion in agent context. + + Args: + skill_names: List of skill names to load. + + Returns: + Formatted skills content. + """ + parts = [] + for name in skill_names: + content = self.load_skill(name) + if content: + content = self._strip_frontmatter(content) + parts.append(f"### Skill: {name}\n\n{content}") + + return "\n\n---\n\n".join(parts) if parts else "" + + def build_skills_summary(self) -> str: + """ + Build a summary of all skills (name, description, path, availability). + + This is used for progressive loading - the agent can read the full + skill content using read_file when needed. + + Returns: + XML-formatted skills summary. + """ + all_skills = self.list_skills(filter_unavailable=False) + if not all_skills: + return "" + + def escape_xml(s: str) -> str: + return s.replace("&", "&").replace("<", "<").replace(">", ">") + + lines = [""] + for s in all_skills: + name = escape_xml(s["name"]) + path = s["path"] + desc = escape_xml(self._get_skill_description(s["name"])) + skill_meta = self._get_skill_meta(s["name"]) + available = self._check_requirements(skill_meta) + + lines.append(f' ') + lines.append(f" {name}") + lines.append(f" {desc}") + lines.append(f" {path}") + + # Show missing requirements for unavailable skills + if not available: + missing = self._get_missing_requirements(skill_meta) + if missing: + lines.append(f" {escape_xml(missing)}") + + lines.append(f" ") + lines.append("") + + return "\n".join(lines) + + def _get_missing_requirements(self, skill_meta: dict) -> str: + """Get a description of missing requirements.""" + missing = [] + requires = skill_meta.get("requires", {}) + for b in requires.get("bins", []): + if not shutil.which(b): + missing.append(f"CLI: {b}") + for env in requires.get("env", []): + if not os.environ.get(env): + missing.append(f"ENV: {env}") + return ", ".join(missing) + + def _get_skill_description(self, name: str) -> str: + """Get the description of a skill from its frontmatter.""" + meta = self.get_skill_metadata(name) + if meta and meta.get("description"): + return meta["description"] + return name # Fallback to skill name + + def _strip_frontmatter(self, content: str) -> str: + """Remove YAML frontmatter from markdown content.""" + if content.startswith("---"): + match = re.match(r"^---\n.*?\n---\n", content, re.DOTALL) + if match: + return content[match.end() :].strip() + return content + + def _parse_vikingbot_metadata(self, raw: str) -> dict: + """Parse vikingbot metadata JSON from frontmatter.""" + try: + data = json.loads(raw) + return data.get("vikingbot", {}) if isinstance(data, dict) else {} + except (json.JSONDecodeError, TypeError): + return {} + + def _check_requirements(self, skill_meta: dict) -> bool: + """Check if skill requirements are met (bins, env vars).""" + requires = skill_meta.get("requires", {}) + for b in requires.get("bins", []): + if not shutil.which(b): + return False + for env in requires.get("env", []): + if not os.environ.get(env): + return False + return True + + def _get_skill_meta(self, name: str) -> dict: + """Get vikingbot metadata for a skill (cached in frontmatter).""" + meta = self.get_skill_metadata(name) or {} + return self._parse_vikingbot_metadata(meta.get("metadata", "")) + + def get_always_skills(self) -> list[str]: + """Get skills marked as always=true that meet requirements.""" + result = [] + for s in self.list_skills(filter_unavailable=True): + meta = self.get_skill_metadata(s["name"]) or {} + skill_meta = self._parse_vikingbot_metadata(meta.get("metadata", "")) + if skill_meta.get("always") or meta.get("always"): + result.append(s["name"]) + return result + + def get_skill_metadata(self, name: str) -> dict | None: + """ + Get metadata from a skill's frontmatter. + + Args: + name: Skill name. + + Returns: + Metadata dict or None. + """ + content = self.load_skill(name) + if not content: + return None + + if content.startswith("---"): + match = re.match(r"^---\n(.*?)\n---", content, re.DOTALL) + if match: + # Simple YAML parsing + metadata = {} + for line in match.group(1).split("\n"): + if ":" in line: + key, value = line.split(":", 1) + metadata[key.strip()] = value.strip().strip("\"'") + return metadata + + return None diff --git a/bot/vikingbot/agent/subagent.py b/bot/vikingbot/agent/subagent.py new file mode 100644 index 00000000..4dfdd1cd --- /dev/null +++ b/bot/vikingbot/agent/subagent.py @@ -0,0 +1,244 @@ +"""Subagent manager for background task execution.""" + +import asyncio +import json +import uuid +from pathlib import Path +from typing import TYPE_CHECKING, Any + +from loguru import logger + +from vikingbot.bus.events import InboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.config.schema import SessionKey +from vikingbot.providers.base import LLMProvider +from vikingbot.agent.tools.registry import ToolRegistry + + +from vikingbot.sandbox.manager import SandboxManager + + +class SubagentManager: + """ + Manages background subagent execution. + + Subagents are lightweight agent instances that run in the background + to handle specific tasks. They share the same LLM provider but have + isolated context and a focused system prompt. + """ + + def __init__( + self, + provider: LLMProvider, + workspace: Path, + bus: MessageBus, + config: "Config", + model: str | None = None, + sandbox_manager: "SandboxManager | None" = None, + ): + from vikingbot.config.schema import ExecToolConfig + + self.provider = provider + self.workspace = workspace + self.bus = bus + self.config = config + self.model = model or provider.get_default_model() + self.sandbox_manager = sandbox_manager + self._running_tasks: dict[str, asyncio.Task[None]] = {} + + async def spawn( + self, + task: str, + session_key: SessionKey, + label: str | None = None, + ) -> str: + """ + Spawn a subagent to execute a task in the background. + + Args: + task: The task description for the subagent. + label: Optional human-readable label for the task. + origin_channel: The channel to announce results to. + origin_chat_id: The chat ID to announce results to. + + Returns: + Status message indicating the subagent was started. + """ + task_id = str(uuid.uuid4())[:8] + display_label = label or task[:30] + ("..." if len(task) > 30 else "") + + # Create background task + bg_task = asyncio.create_task(self._run_subagent(task_id, task, display_label, session_key)) + self._running_tasks[task_id] = bg_task + + # Cleanup when done + bg_task.add_done_callback(lambda _: self._running_tasks.pop(task_id, None)) + + logger.info(f"Spawned subagent [{task_id}]: {display_label}") + return f"Subagent [{display_label}] started (id: {task_id}). I'll notify you when it completes." + + async def _run_subagent( + self, task_id: str, task: str, label: str, session_key: SessionKey + ) -> None: + """Execute the subagent task and announce the result.""" + logger.info(f"Subagent [{task_id}] starting task: {label}") + + try: + # Build subagent tools (no message tool, no spawn tool) + from vikingbot.agent.tools import register_subagent_tools + + tools = ToolRegistry() + register_subagent_tools( + registry=tools, + config=self.config, + ) + + # Build messages with subagent-specific prompt + system_prompt = self._build_subagent_prompt(task) + messages: list[dict[str, Any]] = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": task}, + ] + + # Run agent loop (limited iterations) + max_iterations = 15 + iteration = 0 + final_result: str | None = None + + while iteration < max_iterations: + iteration += 1 + + response = await self.provider.chat( + messages=messages, + tools=tools.get_definitions(), + model=self.model, + ) + + if response.has_tool_calls: + # Add assistant message with tool calls + tool_call_dicts = [ + { + "id": tc.id, + "type": "function", + "function": { + "name": tc.name, + "arguments": json.dumps(tc.arguments), + }, + } + for tc in response.tool_calls + ] + messages.append( + { + "role": "assistant", + "content": response.content or "", + "tool_calls": tool_call_dicts, + } + ) + + # Execute tools + for tool_call in response.tool_calls: + args_str = json.dumps(tool_call.arguments) + logger.debug( + f"Subagent [{task_id}] executing: {tool_call.name} with arguments: {args_str}" + ) + result = await tools.execute( + tool_call.name, + tool_call.arguments, + session_key=session_key, + sandbox_manager=self.sandbox_manager, + ) + messages.append( + { + "role": "tool", + "tool_call_id": tool_call.id, + "name": tool_call.name, + "content": result, + } + ) + else: + final_result = response.content + break + + if final_result is None: + final_result = "Task completed but no final response was generated." + + logger.info(f"Subagent [{task_id}] completed successfully") + await self._announce_result(task_id, label, task, final_result, session_key, "ok") + + except Exception as e: + error_msg = f"Error: {str(e)}" + logger.exception(f"Subagent [{task_id}] failed: {e}") + await self._announce_result(task_id, label, task, error_msg, session_key, "error") + + async def _announce_result( + self, + task_id: str, + label: str, + task: str, + result: str, + session_key: SessionKey, + status: str, + ) -> None: + """Announce the subagent result to the main agent via the message bus.""" + status_text = "completed successfully" if status == "ok" else "failed" + + announce_content = f"""[Subagent '{label}' {status_text}] + +Task: {task} + +Result: +{result} + +Summarize this naturally for the user. Keep it brief (1-2 sentences). Do not mention technical details like "subagent" or task IDs.""" + + # Inject as system message to trigger main agent + msg = InboundMessage( + sender_id="subagent", + session_key=session_key, + content=announce_content, + ) + + await self.bus.publish_inbound(msg) + logger.debug(f"Subagent [{task_id}] announced result to {session_key}") + + def _build_subagent_prompt(self, task: str) -> str: + """Build a focused system prompt for the subagent.""" + from datetime import datetime + import time as _time + + now = datetime.now().strftime("%Y-%m-%d %H:%M (%A)") + tz = _time.strftime("%Z") or "UTC" + + return f"""# Subagent + +## Current Time +{now} ({tz}) + +You are a subagent spawned by the main agent to complete a specific task. + +## Rules +1. Stay focused - complete only the assigned task, nothing else +2. Your final response will be reported back to the main agent +3. Do not initiate conversations or take on side tasks +4. Be concise but informative in your findings + +## What You Can Do +- Read and write files in the workspace +- Execute shell commands +- Search the web and fetch web pages +- Complete the task thoroughly + +## What You Cannot Do +- Send messages directly to users (no message tool available) +- Spawn other subagents +- Access the main agent's conversation history + +## Workspace +Your workspace is at: {self.workspace} +Skills are available at: {self.workspace}/skills/ (read SKILL.md files as needed) + +When you have completed the task, provide a clear summary of your findings or actions.""" + + def get_running_count(self) -> int: + """Return the number of currently running subagents.""" + return len(self._running_tasks) diff --git a/bot/vikingbot/agent/tools/__init__.py b/bot/vikingbot/agent/tools/__init__.py new file mode 100644 index 00000000..fce10455 --- /dev/null +++ b/bot/vikingbot/agent/tools/__init__.py @@ -0,0 +1,7 @@ +"""Agent tools module.""" + +from vikingbot.agent.tools.base import Tool +from vikingbot.agent.tools.registry import ToolRegistry +from vikingbot.agent.tools.factory import register_default_tools, register_subagent_tools + +__all__ = ["Tool", "ToolRegistry", "register_default_tools", "register_subagent_tools"] diff --git a/bot/vikingbot/agent/tools/base.py b/bot/vikingbot/agent/tools/base.py new file mode 100644 index 00000000..de997fbe --- /dev/null +++ b/bot/vikingbot/agent/tools/base.py @@ -0,0 +1,122 @@ +"""Base class for agent tools.""" + +from dataclasses import dataclass + +from vikingbot.config.schema import SessionKey +from vikingbot.sandbox.manager import SandboxManager + + +@dataclass +class ToolContext: + """Context passed to tools during execution, containing runtime information.""" + + session_key: SessionKey = None + sandbox_manager: SandboxManager | None = None + sandbox_key: str = sandbox_manager.to_sandbox_key(session_key) if sandbox_manager else None + + +"""Base class for agent tools.""" + +from abc import ABC, abstractmethod +from typing import Any + + +class Tool(ABC): + """ + Abstract base class for agent tools. + + Tools are capabilities that the agent can use to interact with + the environment, such as reading files, executing commands, etc. + """ + + _TYPE_MAP = { + "string": str, + "integer": int, + "number": (int, float), + "boolean": bool, + "array": list, + "object": dict, + } + + @property + @abstractmethod + def name(self) -> str: + """Tool name used in function calls.""" + pass + + @property + @abstractmethod + def description(self) -> str: + """Description of what the tool does.""" + pass + + @property + @abstractmethod + def parameters(self) -> dict[str, Any]: + """JSON Schema for tool parameters.""" + pass + + @abstractmethod + async def execute(self, tool_context: ToolContext, **kwargs: Any) -> str: + """ + Execute the tool with given parameters. + + Args: + tool_context: Runtime context containing session key, sandbox manager, etc. + **kwargs: Tool-specific parameters. + + Returns: + String result of the tool execution. + """ + pass + + def validate_params(self, params: dict[str, Any]) -> list[str]: + """Validate tool parameters against JSON schema. Returns error list (empty if valid).""" + schema = self.parameters or {} + if schema.get("type", "object") != "object": + raise ValueError(f"Schema must be object type, got {schema.get('type')!r}") + return self._validate(params, {**schema, "type": "object"}, "") + + def _validate(self, val: Any, schema: dict[str, Any], path: str) -> list[str]: + t, label = schema.get("type"), path or "parameter" + if t in self._TYPE_MAP and not isinstance(val, self._TYPE_MAP[t]): + return [f"{label} should be {t}"] + + errors = [] + if "enum" in schema and val not in schema["enum"]: + errors.append(f"{label} must be one of {schema['enum']}") + if t in ("integer", "number"): + if "minimum" in schema and val < schema["minimum"]: + errors.append(f"{label} must be >= {schema['minimum']}") + if "maximum" in schema and val > schema["maximum"]: + errors.append(f"{label} must be <= {schema['maximum']}") + if t == "string": + if "minLength" in schema and len(val) < schema["minLength"]: + errors.append(f"{label} must be at least {schema['minLength']} chars") + if "maxLength" in schema and len(val) > schema["maxLength"]: + errors.append(f"{label} must be at most {schema['maxLength']} chars") + if t == "object": + props = schema.get("properties", {}) + for k in schema.get("required", []): + if k not in val: + errors.append(f"missing required {path + '.' + k if path else k}") + for k, v in val.items(): + if k in props: + errors.extend(self._validate(v, props[k], path + "." + k if path else k)) + if t == "array" and "items" in schema: + for i, item in enumerate(val): + errors.extend( + self._validate(item, schema["items"], f"{path}[{i}]" if path else f"[{i}]") + ) + return errors + + def to_schema(self) -> dict[str, Any]: + """Convert tool to OpenAI function schema format.""" + return { + "type": "function", + "function": { + "name": self.name, + "description": self.description, + "parameters": self.parameters, + }, + } diff --git a/bot/vikingbot/agent/tools/cron.py b/bot/vikingbot/agent/tools/cron.py new file mode 100644 index 00000000..ff8b9649 --- /dev/null +++ b/bot/vikingbot/agent/tools/cron.py @@ -0,0 +1,125 @@ +"""Cron tool for scheduling reminders and tasks.""" + +from typing import Any + +from vikingbot.agent.tools.base import Tool +from vikingbot.cron.service import CronService +from vikingbot.cron.types import CronSchedule + + +class CronTool(Tool): + """Tool to schedule reminders and recurring tasks.""" + + def __init__(self, cron_service: CronService): + self._cron = cron_service + + @property + def name(self) -> str: + return "cron" + + @property + def description(self) -> str: + return "Schedule reminders and recurring tasks. Actions: add, list, remove." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "action": { + "type": "string", + "enum": ["add", "list", "remove"], + "description": "Action to perform", + }, + "name": {"type": "string", "description": "Job name (for add)"}, + "message": {"type": "string", "description": "Reminder message (for add)"}, + "every_seconds": { + "type": "integer", + "description": "Interval in seconds (for recurring tasks)", + }, + "cron_expr": { + "type": "string", + "description": "Cron expression like '0 9 * * *' (for scheduled tasks)", + }, + "at": { + "type": "string", + "description": "ISO datetime for one-time execution (e.g. '2026-02-12T10:30:00')", + }, + "job_id": {"type": "string", "description": "Job ID (for remove)"}, + }, + "required": ["action"], + } + + async def execute( + self, + tool_context: "ToolContext", + action: str, + name: str = "", + message: str = "", + every_seconds: int | None = None, + cron_expr: str | None = None, + at: str | None = None, + job_id: str | None = None, + **kwargs: Any, + ) -> str: + if action == "add": + return self._add_job( + name, message, every_seconds, cron_expr, at, tool_context.session_key + ) + elif action == "list": + return self._list_jobs() + elif action == "remove": + return self._remove_job(job_id) + return f"Unknown action: {action}" + + def _add_job( + self, + name: str, + message: str, + every_seconds: int | None, + cron_expr: str | None, + at: str | None, + session_key: "SessionKey", + ) -> str: + if not message: + return "Error: message is required for add" + + # Build schedule + delete_after = False + if every_seconds: + schedule = CronSchedule(kind="every", every_ms=every_seconds * 1000) + elif cron_expr: + schedule = CronSchedule(kind="cron", expr=cron_expr) + elif at: + from datetime import datetime + + dt = datetime.fromisoformat(at) + at_ms = int(dt.timestamp() * 1000) + schedule = CronSchedule(kind="at", at_ms=at_ms) + delete_after = True + else: + return "Error: either every_seconds, cron_expr, or at is required" + + job = self._cron.add_job( + name=name, + schedule=schedule, + message=message, + deliver=True, + session_key=session_key, + delete_after_run=delete_after, + ) + return f"Created job '{job.name}' (id: {job.id})" + + def _list_jobs(self) -> str: + jobs = self._cron.list_jobs() + if not jobs: + return "No scheduled jobs." + lines = [f"- {j.name} (id: {j.id}, {j.schedule.kind})" for j in jobs] + return "Scheduled jobs:\n" + "\n".join(lines) + + def _remove_job(self, job_id: str | None) -> str: + if not job_id: + return "Error: job_id is required for remove" + if self._cron.remove_job(job_id): + return f"Removed job {job_id}" + return f"Job {job_id} not found" diff --git a/bot/vikingbot/agent/tools/factory.py b/bot/vikingbot/agent/tools/factory.py new file mode 100644 index 00000000..96a73869 --- /dev/null +++ b/bot/vikingbot/agent/tools/factory.py @@ -0,0 +1,141 @@ +"""Tool factory for centralized tool registration.""" + +from typing import TYPE_CHECKING, Callable + +from vikingbot.agent.tools.cron import CronTool +from vikingbot.agent.tools.filesystem import ReadFileTool, WriteFileTool, EditFileTool, ListDirTool +from vikingbot.agent.tools.image import ImageGenerationTool +from vikingbot.agent.tools.message import MessageTool +from vikingbot.agent.tools.ov_file import ( + VikingReadTool, + VikingListTool, + VikingSearchTool, + VikingGrepTool, + VikingGlobTool, + VikingSearchUserMemoryTool, + VikingMemoryCommitTool, +) +from vikingbot.agent.tools.registry import ToolRegistry +from vikingbot.agent.tools.shell import ExecTool +from vikingbot.agent.tools.web import WebFetchTool +from vikingbot.agent.tools.websearch import WebSearchTool + +if TYPE_CHECKING: + from vikingbot.agent.tools.spawn import SpawnTool + + +def register_default_tools( + registry: ToolRegistry, + config: "Config", + send_callback: Callable[["OutboundMessage"], None] | None = None, + subagent_manager: "SubagentManager | None" = None, + cron_service: "CronService | None" = None, + include_message_tool: bool = True, + include_spawn_tool: bool = True, + include_cron_tool: bool = True, + include_image_tool: bool = True, + include_viking_tools: bool = True, +) -> None: + """ + Register default tools to a tool registry. + + Args: + registry: Tool registry to register tools to + config: Config object (all other parameters derived from this) + send_callback: Callback for sending messages + subagent_manager: Subagent manager + cron_service: Cron service + include_message_tool: Whether to include message tool + include_spawn_tool: Whether to include spawn tool + include_cron_tool: Whether to include cron tool + include_image_tool: Whether to include image tool + include_viking_tools: Whether to include Viking tools + """ + # Derive all parameters from config + workspace = config.workspace_path + exec_config = config.tools.exec + brave_api_key = config.tools.web.search.api_key if config.tools.web.search else None + exa_api_key = None # TODO: Add to config if needed + gen_image_model = config.agents.defaults.gen_image_model + + # Get provider API key and base from config + provider_config = config.get_provider() + provider_api_key = provider_config.api_key if provider_config else None + provider_api_base = provider_config.api_base if provider_config else None + # File tools + registry.register(ReadFileTool()) + registry.register(WriteFileTool()) + registry.register(EditFileTool()) + registry.register(ListDirTool()) + + # Shell tool + registry.register( + ExecTool( + timeout=exec_config.timeout, + ) + ) + + # Web tools + registry.register( + WebSearchTool(backend="auto", brave_api_key=brave_api_key, exa_api_key=exa_api_key) + ) + registry.register(WebFetchTool()) + + # Open Viking tools + if include_viking_tools: + registry.register(VikingReadTool()) + registry.register(VikingListTool()) + registry.register(VikingSearchTool()) + registry.register(VikingGrepTool()) + registry.register(VikingGlobTool()) + registry.register(VikingSearchUserMemoryTool()) + registry.register(VikingMemoryCommitTool()) + + # Image generation tool + if include_image_tool: + registry.register( + ImageGenerationTool( + gen_image_model=gen_image_model, + api_key=provider_api_key, + api_base=provider_api_base, + send_callback=send_callback, + ) + ) + + # Message tool + if include_message_tool and send_callback: + message_tool = MessageTool(send_callback=send_callback) + registry.register(message_tool) + + # Spawn tool + if include_spawn_tool and subagent_manager: + from vikingbot.agent.tools.spawn import SpawnTool + + spawn_tool = SpawnTool(manager=subagent_manager) + registry.register(spawn_tool) + + # Cron tool + if include_cron_tool and cron_service: + registry.register(CronTool(cron_service)) + + +def register_subagent_tools( + registry: ToolRegistry, + config: "Config", +) -> None: + """ + Register tools for subagents (limited set). + + Args: + registry: Tool registry to register tools to + config: Config object (all parameters derived from this) + """ + register_default_tools( + registry=registry, + config=config, + include_message_tool=False, + include_spawn_tool=False, + include_cron_tool=False, + include_image_tool=False, + include_viking_tools=False, + ) diff --git a/bot/vikingbot/agent/tools/filesystem.py b/bot/vikingbot/agent/tools/filesystem.py new file mode 100644 index 00000000..2683eb1d --- /dev/null +++ b/bot/vikingbot/agent/tools/filesystem.py @@ -0,0 +1,166 @@ +"""File system tools: read, write, edit.""" + +from typing import TYPE_CHECKING, Any + +from vikingbot.agent.tools.base import Tool +from vikingbot.config.schema import SessionKey + + +from vikingbot.sandbox.manager import SandboxManager + + +class ReadFileTool(Tool): + """Tool to read file contents.""" + + @property + def name(self) -> str: + return "read_file" + + @property + def description(self) -> str: + return "Read the contents of a file at the given path." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": {"path": {"type": "string", "description": "The file path to read"}}, + "required": ["path"], + } + + async def execute(self, tool_context: "ToolContext", path: str, **kwargs: Any) -> str: + try: + sandbox = await tool_context.sandbox_manager.get_sandbox(tool_context.session_key) + content = await sandbox.read_file(path) + return content + except FileNotFoundError as e: + return f"Error: {e}" + except IOError as e: + return f"Error: {e}" + except Exception as e: + return f"Error reading file: {str(e)}" + + +class WriteFileTool(Tool): + """Tool to write content to a file.""" + + @property + def name(self) -> str: + return "write_file" + + @property + def description(self) -> str: + return "Write content to a file at the given path. Creates parent directories if needed." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "path": {"type": "string", "description": "The file path to write to"}, + "content": {"type": "string", "description": "The content to write"}, + }, + "required": ["path", "content"], + } + + async def execute( + self, tool_context: "ToolContext", path: str, content: str, **kwargs: Any + ) -> str: + try: + sandbox = await tool_context.sandbox_manager.get_sandbox(tool_context.session_key) + await sandbox.write_file(path, content) + return f"Successfully wrote {len(content)} bytes to {path}" + except IOError as e: + return f"Error: {e}" + except Exception as e: + return f"Error writing file: {str(e)}" + + +class EditFileTool(Tool): + """Tool to edit a file by replacing text.""" + + @property + def name(self) -> str: + return "edit_file" + + @property + def description(self) -> str: + return "Edit a file by replacing old_text with new_text. The old_text must exist exactly in the file." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "path": {"type": "string", "description": "The file path to edit"}, + "old_text": {"type": "string", "description": "The exact text to find and replace"}, + "new_text": {"type": "string", "description": "The text to replace with"}, + }, + "required": ["path", "old_text", "new_text"], + } + + async def execute( + self, tool_context: "ToolContext", path: str, old_text: str, new_text: str, **kwargs: Any + ) -> str: + try: + sandbox = await tool_context.sandbox_manager.get_sandbox(tool_context.session_key) + content = await sandbox.read_file(path) + + if old_text not in content: + return f"Error: old_text not found in file. Make sure it matches exactly." + + count = content.count(old_text) + if count > 1: + return f"Warning: old_text appears {count} times. Please provide more context to make it unique." + + new_content = content.replace(old_text, new_text, 1) + await sandbox.write_file(path, new_content) + + return f"Successfully edited {path}" + except FileNotFoundError as e: + return f"Error: {e}" + except IOError as e: + return f"Error: {e}" + except Exception as e: + return f"Error editing file: {str(e)}" + + +class ListDirTool(Tool): + """Tool to list directory contents.""" + + @property + def name(self) -> str: + return "list_dir" + + @property + def description(self) -> str: + return "List the contents of a directory." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": {"path": {"type": "string", "description": "The directory path to list"}}, + "required": ["path"], + } + + async def execute(self, tool_context: "ToolContext", path: str, **kwargs: Any) -> str: + try: + sandbox = await tool_context.sandbox_manager.get_sandbox(tool_context.session_key) + items = await sandbox.list_dir(path) + + if not items: + return f"Directory {path} is empty" + + formatted_items = [] + for name, is_dir in items: + prefix = "📁 " if is_dir else "📄 " + formatted_items.append(f"{prefix}{name}") + + return "\n".join(formatted_items) + except FileNotFoundError as e: + return f"Error: {e}" + except IOError as e: + return f"Error: {e}" + except Exception as e: + return f"Error listing directory: {str(e)}" diff --git a/bot/vikingbot/agent/tools/image.py b/bot/vikingbot/agent/tools/image.py new file mode 100644 index 00000000..ca8d035e --- /dev/null +++ b/bot/vikingbot/agent/tools/image.py @@ -0,0 +1,307 @@ +"""Image generation tool using LiteLLM's image generation capabilities.""" + +import base64 +import logging +import mimetypes +import uuid +from io import BytesIO +from typing import Any, Callable, Awaitable +from pathlib import Path +import httpx +import litellm + +from vikingbot.agent.tools.base import Tool +from vikingbot.bus.events import OutboundMessage +from vikingbot.utils import get_data_path + + +class ImageGenerationTool(Tool): + """Generate images from text descriptions or edit existing images using the configured image model.""" + + @property + def name(self) -> str: + return "generate_image" + + @property + def description(self) -> str: + return "Generate images from scratch, edit existing images, or create variations. For edit/variation mode, provide a base_image (base64 or URL)." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "mode": { + "type": "string", + "enum": ["generate", "edit", "variation"], + "description": "Mode: 'generate' (from scratch), 'edit' (edit existing), or 'variation' (create variations)", + "default": "generate", + }, + "prompt": { + "type": "string", + "description": "Text description of the image to generate or edit (required for generate and edit modes)", + }, + "base_image": { + "type": "string", + "description": "Base image for edit/variation mode: base64 data URI or image file path (required for edit and variation modes)", + }, + "mask": { + "type": "string", + "description": "Mask image for edit mode: base64 data URI or image URL (optional, transparent areas indicate where to edit)", + }, + "size": { + "type": "string", + "enum": ["1920x1920"], + "description": "Image size (default: 1920x1920)", + "default": "1920x1920", + }, + "quality": { + "type": "string", + "enum": ["standard", "hd"], + "description": "Image quality (default: standard)", + "default": "standard", + }, + "style": { + "type": "string", + "enum": ["vivid", "natural"], + "description": "Image style (DALL-E 3 only, default: vivid)", + "default": "vivid", + }, + "n": { + "type": "integer", + "description": "Number of images to generate (1-4)", + "minimum": 1, + "maximum": 4, + "default": 1, + }, + "send_to_user": { + "type": "boolean", + "description": "Whether to send the generated image directly to the user (default: true)", + "default": True, + }, + }, + "required": [], + } + + def __init__( + self, + gen_image_model: str | None = None, + api_key: str | None = None, + api_base: str | None = None, + send_callback: Callable[[OutboundMessage], Awaitable[None]] | None = None, + ): + self.gen_image_model = gen_image_model or "openai/doubao-seedream-4-5-251128" + self.api_key = api_key + self.api_base = api_base + self._send_callback = send_callback + + def set_send_callback(self, callback: Callable[[OutboundMessage], Awaitable[None]]) -> None: + """Set the callback for sending messages.""" + self._send_callback = callback + + @property + def _is_seedream_model(self) -> bool: + """Check if the current model is a Seedream model.""" + return "seedream" in self.gen_image_model.lower() + + async def _parse_image_data(self, image_str: str) -> tuple[str, str]: + """ + Parse image from base64 data URI, URL, or file path. + Returns: (image_data, format_type) where format_type is "data" or "url" + """ + if image_str.startswith("data:"): + return image_str, "data" + elif image_str.startswith("http://") or image_str.startswith("https://"): + return image_str, "url" + else: + mime_type, _ = mimetypes.guess_type(image_str) + if not mime_type: + mime_type = "application/octet-stream" + base64_str = base64.b64encode(Path(image_str).read_bytes()).decode("utf-8") + data_uri = f"data:{mime_type};base64,{base64_str}" + return data_uri, "data" + + async def _url_to_base64(self, url: str) -> str: + """Download image from URL and convert to base64.""" + async with httpx.AsyncClient(timeout=60.0) as client: + response = await client.get(url) + response.raise_for_status() + return base64.b64encode(response.content).decode("utf-8") + + def _build_common_kwargs( + self, + size: str, + n: int, + include_size: bool = True, + include_style: bool = True, + quality: str | None = None, + style: str | None = None, + ) -> dict[str, Any]: + """Build common kwargs for image generation calls.""" + kwargs: dict[str, Any] = { + "model": self.gen_image_model, + "n": n, + } + if include_size: + kwargs["size"] = size + if quality: + kwargs["quality"] = quality + if include_style and style: + kwargs["style"] = style + if self.api_key: + kwargs["api_key"] = self.api_key + if self.api_base: + kwargs["api_base"] = self.api_base + return kwargs + + async def _seedream_image_to_image( + self, + base_image: str, + prompt: str, + strength: float, + size: str, + n: int, + ) -> Any: + """Shared method for Seedream image-to-image generation (used by edit and variation modes).""" + base_image_data, base_format = await self._parse_image_data(base_image) + kwargs = self._build_common_kwargs( + size=size, + n=n, + include_size=False, + include_style=False, + ) + kwargs.update( + { + "prompt": prompt, + "strength": strength, + } + ) + if base_format == "data": + kwargs["image"] = base_image_data + else: + kwargs["image"] = base_image_data + return await litellm.aimage_generation(**kwargs) + + async def execute( + self, + tool_context: "ToolContext", + mode: str = "generate", + prompt: str | None = None, + base_image: str | None = None, + mask: str | None = None, + size: str = "1920x1920", + quality: str = "standard", + style: str = "vivid", + n: int = 1, + send_to_user: bool = True, + **kwargs: Any, + ) -> str: + try: + if mode in ["edit", "variation"] and not base_image: + return f"Error: base_image is required for {mode} mode" + if mode in ["generate", "edit"] and not prompt: + return f"Error: prompt is required for {mode} mode" + + # Execute based on mode + if mode == "generate": + gen_kwargs = self._build_common_kwargs( + size=size, + n=n, + quality=quality, + style=style, + ) + gen_kwargs["prompt"] = prompt + response = await litellm.aimage_generation(**gen_kwargs) + + elif mode == "edit": + if self._is_seedream_model: + response = await self._seedream_image_to_image( + base_image=base_image, # type: ignore[arg-type] + prompt=prompt, # type: ignore[arg-type] + strength=0.7, + size=size, + n=n, + ) + else: + base_image_data, base_format = await self._parse_image_data(base_image) # type: ignore[arg-type] + edit_kwargs = self._build_common_kwargs(size=size, n=n, include_style=False) + edit_kwargs["prompt"] = prompt + edit_kwargs["image"] = base_image_data + if mask: + mask_data, mask_format = await self._parse_image_data(mask) + if mask_format == "bytes": + edit_kwargs["mask"] = BytesIO(mask_data) # type: ignore + else: + edit_kwargs["mask"] = mask_data + response = await litellm.aimage_edit(**edit_kwargs) + + elif mode == "variation": + if self._is_seedream_model: + response = await self._seedream_image_to_image( + base_image=base_image, # type: ignore[arg-type] + prompt="Create a variation of this image", + strength=0.3, + size=size, + n=n, + ) + else: + base_image_data, base_format = await self._parse_image_data(base_image) # type: ignore[arg-type] + var_kwargs = self._build_common_kwargs(size=size, n=n, include_style=False) + var_kwargs["image"] = base_image_data + response = await litellm.aimage_variation(**var_kwargs) + + else: + return f"Error: Unknown mode '{mode}'" + + # Extract and save images + images = [] + for data in response.data: + if hasattr(data, "b64_json") and data.b64_json is not None: + images.append(data.b64_json) + elif hasattr(data, "url") and data.url is not None: + images.append(await self._url_to_base64(data.url)) + + if not images: + return "Error: No images generated" + + images_dir = get_data_path() / "images" + images_dir.mkdir(exist_ok=True) + saved_paths = ["生成图片:"] + saved_filenames = [] + + for img in images: + random_filename = f"{uuid.uuid4().hex}.png" + image_path = images_dir / random_filename + if img.startswith("data:"): + _, img = img.split(",", 1) + image_bytes = base64.b64decode(img) + with open(image_path, "wb") as f: + f.write(image_bytes) + saved_paths.append(f"send://{random_filename}") + saved_filenames.append(random_filename) + + # Send to user if requested + sent_to_user = False + if send_to_user and self._send_callback: + try: + msg_content = "\n".join([f"send://{f}" for f in saved_filenames]) + msg = OutboundMessage(session_key=tool_context.session_key, content=msg_content) + await self._send_callback(msg) + sent_to_user = True + except Exception as e: + return f"Error sending image to user: {str(e)}" + + result = "\n".join(saved_paths) + if sent_to_user: + result += "\n(已发送给用户)" + + return result + + except Exception as e: + import traceback + + error_details = traceback.format_exc() + log = logging.getLogger(__name__) + log.error(f"Image generation error: {e}") + log.error(f"Error details: {error_details}") + return f"Error generating image: {e}" diff --git a/bot/vikingbot/agent/tools/message.py b/bot/vikingbot/agent/tools/message.py new file mode 100644 index 00000000..9a6db75b --- /dev/null +++ b/bot/vikingbot/agent/tools/message.py @@ -0,0 +1,55 @@ +"""Message tool for sending messages to users.""" + +from typing import Any, Callable, Awaitable + +from vikingbot.agent.tools.base import Tool +from vikingbot.bus.events import OutboundMessage +from vikingbot.config.schema import SessionKey + + +class MessageTool(Tool): + """Tool to send messages to users on chat channels.""" + + def __init__( + self, + send_callback: Callable[[OutboundMessage], Awaitable[None]] | None = None, + ): + self._send_callback = send_callback + + def set_send_callback(self, callback: Callable[[OutboundMessage], Awaitable[None]]) -> None: + """Set the callback for sending messages.""" + self._send_callback = callback + + @property + def name(self) -> str: + return "message" + + @property + def description(self) -> str: + return "Send a message to the user. Use this when you want to communicate something." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "content": {"type": "string", "description": "The message content to send"} + }, + "required": ["content"], + } + + async def execute(self, tool_context: "ToolContext", **kwargs: Any) -> str: + from loguru import logger + + content = kwargs.get("content") + + if not self._send_callback: + return "Error: Message sending not configured" + + msg = OutboundMessage(session_key=tool_context.session_key, content=content) + + try: + await self._send_callback(msg) + return f"Message sent to {tool_context.session_key} " + except Exception as e: + return f"Error sending message: {str(e)}" diff --git a/bot/vikingbot/agent/tools/ov_file.py b/bot/vikingbot/agent/tools/ov_file.py new file mode 100644 index 00000000..2e0a5876 --- /dev/null +++ b/bot/vikingbot/agent/tools/ov_file.py @@ -0,0 +1,435 @@ +"""OpenViking file system tools: read, write, list, search resources.""" + +from abc import ABC +from pathlib import Path +from typing import Any, Optional +from loguru import logger + +from vikingbot.agent.tools.base import Tool, ToolContext +from vikingbot.openviking_mount.ov_server import VikingClient + + +class OVFileTool(Tool, ABC): + def __init__(self): + super().__init__() + self._client = None + + async def _get_client(self, tool_context: ToolContext): + if self._client is None: + self._client = await VikingClient.create(tool_context.sandbox_key) + return self._client + + +class VikingReadTool(OVFileTool): + """Tool to read content from Viking resources.""" + + @property + def name(self) -> str: + return "openviking_read" + + @property + def description(self) -> str: + return "Read content from OpenViking resources at different levels (abstract, overview, or full content)." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "uri": { + "type": "string", + "description": "The Viking file's URI to read from (e.g., viking://resources/path/123.md)", + }, + "level": { + "type": "string", + "description": "Reading level: 'abstract' (L0 summary), 'overview' (L1 overview), or 'read' (L2 full content)", + "enum": ["abstract", "overview", "read"], + "default": "abstract", + }, + }, + "required": ["uri"], + } + + async def execute( + self, tool_context: ToolContext, uri: str, level: str = "abstract", **kwargs: Any + ) -> str: + try: + client = await self._get_client(tool_context) + content = await client.read_content(uri, level=level) + return content + except Exception as e: + return f"Error reading from Viking: {str(e)}" + + +class VikingListTool(OVFileTool): + """Tool to list Viking resources.""" + + @property + def name(self) -> str: + return "openviking_list" + + @property + def description(self) -> str: + return "List resources in a OpenViking path." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "uri": { + "type": "string", + "description": "The parent Viking uri to list (e.g., viking://resources/)", + }, + "recursive": { + "type": "boolean", + "description": "Whether to list recursively", + "default": False, + }, + }, + "required": ["uri"], + } + + async def execute( + self, tool_context: "ToolContext", uri: str, recursive: bool = False, **kwargs: Any + ) -> str: + try: + client = await self._get_client(tool_context) + entries = await client.list_resources(path=uri, recursive=recursive) + + if not entries: + return f"No resources found at {uri}" + + result = [] + for entry in entries: + item = { + "name": entry["name"], + "size": entry["size"], + "uri": entry["uri"], + "isDir": entry["isDir"], + } + result.append(str(item)) + return "\n".join(result) + except Exception as e: + logger.exception(f"Error processing message: {e}") + return f"Error listing Viking resources: {str(e)}" + + +class VikingSearchTool(OVFileTool): + """Tool to search Viking resources.""" + + @property + def name(self) -> str: + return "openviking_search" + + @property + def description(self) -> str: + return "Search for resources in OpenViking using a query." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "query": {"type": "string", "description": "The search query"}, + "target_uri": { + "type": "string", + "description": "Optional target URI to limit search scope, if is None, then search the entire range.(e.g., viking://resources/)", + }, + }, + "required": ["query"], + } + + async def execute( + self, + tool_context: "ToolContext", + query: str, + target_uri: Optional[str] = None, + **kwargs: Any, + ) -> str: + try: + client = await self._get_client(tool_context) + results = await client.search(query, target_uri=target_uri) + + if not results: + return f"No results found for query: {query}" + if isinstance(results, list): + result_strs = [] + for i, result in enumerate(results, 1): + result_strs.append(f"{i}. {str(result)}") + return "\n".join(result_strs) + else: + return str(results) + except Exception as e: + return f"Error searching Viking: {str(e)}" + + +class VikingAddResourceTool(OVFileTool): + """Tool to add a resource to Viking.""" + + @property + def name(self) -> str: + return "openviking_add_resource" + + @property + def description(self) -> str: + return "Add a local file as a resource to OpenViking." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "local_path": {"type": "string", "description": "Path to the local file to add"}, + "description": {"type": "string", "description": "Description of the resource"}, + "target_path": { + "type": "string", + "description": "Target path in Viking (e.g., /bot_test/dutao/docs/)", + "default": "", + }, + "wait": { + "type": "boolean", + "description": "Whether to wait for processing to complete", + "default": False, + }, + }, + "required": ["local_path", "description"], + } + + async def execute( + self, + tool_context: "ToolContext", + local_path: str, + description: str, + target_path: str = "", + wait: bool = False, + **kwargs: Any, + ) -> str: + try: + path = Path(local_path).expanduser().resolve() + if not path.exists(): + return f"Error: File not found: {local_path}" + if not path.is_file(): + return f"Error: Not a file: {local_path}" + + client = await self._get_client(tool_context) + result = await client.add_resource( + str(path), description, target_path=target_path or None, wait=wait + ) + + if result: + root_uri = result.get("result", {}).get("root_uri", "unknown") + return f"Successfully added resource: {root_uri}" + else: + return "Failed to add resource" + except Exception as e: + return f"Error adding resource to Viking: {str(e)}" + + +class VikingGrepTool(OVFileTool): + """Tool to search Viking resources using regex patterns.""" + + @property + def name(self) -> str: + return "openviking_grep" + + @property + def description(self) -> str: + return "Search Viking resources using regex patterns (like grep)." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "uri": { + "type": "string", + "description": "The whole Viking URI to search within (e.g., viking://resources/path/)", + }, + "pattern": { + "type": "string", + "description": "Regex pattern to search for", + }, + "case_insensitive": { + "type": "boolean", + "description": "Case-insensitive search", + "default": False, + }, + }, + "required": ["uri", "pattern"], + } + + async def execute( + self, + tool_context: "ToolContext", + uri: str, + pattern: str, + case_insensitive: bool = False, + **kwargs: Any, + ) -> str: + try: + client = await self._get_client(tool_context) + result = await client.grep(uri, pattern, case_insensitive=case_insensitive) + + if isinstance(result, dict): + matches = result.get("result", {}).get("matches", []) + count = result.get("result", {}).get("count", 0) + else: + matches = getattr(result, "matches", []) + count = getattr(result, "count", 0) + + if not matches: + return f"No matches found for pattern: {pattern}" + + result_lines = [f"Found {count} match{'es' if count != 1 else ''}:"] + for match in matches: + if isinstance(match, dict): + match_uri = match.get("uri", "unknown") + line = match.get("line", "?") + content = match.get("content", "") + else: + match_uri = getattr(match, "uri", "unknown") + line = getattr(match, "line", "?") + content = getattr(match, "content", "") + result_lines.append(f"\n📄 {match_uri}:{line}") + result_lines.append(f" {content}") + + return "\n".join(result_lines) + except Exception as e: + return f"Error searching Viking with grep: {str(e)}" + + +class VikingGlobTool(OVFileTool): + """Tool to find Viking resources using glob patterns.""" + + @property + def name(self) -> str: + return "openviking_glob" + + @property + def description(self) -> str: + return "Find Viking resources using glob patterns (like **/*.md, *.py)." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "pattern": { + "type": "string", + "description": "Glob pattern to match (e.g., **/*.md, *.py, src/**/*.js)", + }, + "uri": { + "type": "string", + "description": "The whole Viking URI to search within (e.g., viking://resources/path/)", + "default": "", + }, + }, + "required": ["pattern"], + } + + async def execute( + self, tool_context: "ToolContext", pattern: str, uri: str = "", **kwargs: Any + ) -> str: + try: + client = await self._get_client(tool_context) + result = await client.glob(pattern, uri=uri or None) + + if isinstance(result, dict): + matches = result.get("result", {}).get("matches", []) + count = result.get("result", {}).get("count", 0) + else: + matches = getattr(result, "matches", []) + count = getattr(result, "count", 0) + + if not matches: + return f"No files found for pattern: {pattern}" + + result_lines = [f"Found {count} file{'s' if count != 1 else ''}:"] + for match_uri in matches: + if isinstance(match_uri, dict): + match_uri = match_uri.get("uri", str(match_uri)) + result_lines.append(f"📄 {match_uri}") + + return "\n".join(result_lines) + except Exception as e: + return f"Error searching Viking with glob: {str(e)}" + + +class VikingSearchUserMemoryTool(OVFileTool): + """Tool to search Viking user memories""" + + @property + def name(self) -> str: + return "user_memory_search" + + @property + def description(self) -> str: + return "Search for user memories in OpenViking using a query." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": {"query": {"type": "string", "description": "The search query"}}, + "required": ["query"], + } + + async def execute(self, tool_context: "ToolContext", query: str, **kwargs: Any) -> str: + try: + client = await self._get_client(tool_context) + results = await client.search_user_memory(query) + + if not results: + return f"No results found for query: {query}" + return str(results) + except Exception as e: + return f"Error searching Viking: {str(e)}" + + +class VikingMemoryCommitTool(OVFileTool): + """Tool to commit messages to OpenViking session.""" + + @property + def name(self) -> str: + return "openviking_memory_commit" + + @property + def description(self) -> str: + return "Commit messages to OpenViking session to persist conversation history." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "messages": { + "type": "array", + "description": "List of messages to commit, each with role, content, and optional tools_used", + "items": { + "type": "object", + "properties": { + "role": {"type": "string", "enum": ["user", "assistant"]}, + "content": {"type": "string"}, + }, + "required": ["role", "content"], + }, + }, + }, + "required": ["messages"], + } + + async def execute( + self, + tool_context: ToolContext, + messages: list[dict[str, Any]], + **kwargs: Any, + ) -> str: + try: + client = await self._get_client(tool_context) + session_id = tool_context.session_key.safe_name() + await client.commit(session_id, messages) + return f"Successfully committed to session {session_id}" + except Exception as e: + logger.exception(f"Error processing message: {e}") + return f"Error committing to Viking: {str(e)}" diff --git a/bot/vikingbot/agent/tools/registry.py b/bot/vikingbot/agent/tools/registry.py new file mode 100644 index 00000000..e86c47db --- /dev/null +++ b/bot/vikingbot/agent/tools/registry.py @@ -0,0 +1,122 @@ +"""Tool registry for dynamic tool management.""" + +from loguru import logger + +from typing import Any, TYPE_CHECKING + +from vikingbot.agent.tools.base import Tool, ToolContext +from vikingbot.config import loader +from vikingbot.config.schema import SessionKey +from vikingbot.hooks import HookContext +from vikingbot.hooks.manager import hook_manager +from vikingbot.sandbox.manager import SandboxManager + +"""Tool registry for dynamic tool management.""" +from loguru import logger + +from typing import Any + +from vikingbot.agent.tools.base import Tool +from vikingbot.config.schema import SessionKey +from vikingbot.hooks import HookContext +from vikingbot.hooks.manager import hook_manager + + +class ToolRegistry: + """ + Registry for agent tools. + + Allows dynamic registration and execution of tools. + """ + + def __init__(self): + self._tools: dict[str, Tool] = {} + + def register(self, tool: Tool) -> None: + """Register a tool.""" + self._tools[tool.name] = tool + + def unregister(self, name: str) -> None: + """Unregister a tool by name.""" + self._tools.pop(name, None) + + def get(self, name: str) -> Tool | None: + """Get a tool by name.""" + return self._tools.get(name) + + def has(self, name: str) -> bool: + """Check if a tool is registered.""" + return name in self._tools + + def get_definitions(self) -> list[dict[str, Any]]: + """Get all tool definitions in OpenAI format.""" + return [tool.to_schema() for tool in self._tools.values()] + + async def execute( + self, + name: str, + params: dict[str, Any], + session_key: SessionKey, + sandbox_manager: SandboxManager | None = None, + ) -> str: + """ + Execute a tool by name with given parameters. + + Args: + name: Tool name. + params: Tool parameters. + session_key: Session key for the current session. + sandbox_manager: Sandbox manager for file/shell operations. + + Returns: + Tool execution result as string. + + Raises: + KeyError: If tool not found. + """ + tool = self._tools.get(name) + if not tool: + return f"Error: Tool '{name}' not found" + + tool_context = ToolContext( + session_key=session_key, + sandbox_manager=sandbox_manager, + sandbox_key=sandbox_manager.to_sandbox_key(session_key), + ) + + result = None + try: + errors = tool.validate_params(params) + if errors: + return f"Error: Invalid parameters for tool '{name}': " + "; ".join(errors) + result = await tool.execute(tool_context, **params) + except Exception as e: + result = e + logger.exception("Tool call fail: ", e) + + hook_result = await hook_manager.execute_hooks( + context=HookContext( + event_type="tool.post_call", + session_id=session_key.safe_name(), + sandbox_key=sandbox_manager.to_sandbox_key(session_key), + ), + tool_name=name, + params=params, + result=result, + ) + result = hook_result.get("result") + if isinstance(result, Exception): + return f"Error executing {name}: {str(result)}" + else: + return result + + @property + def tool_names(self) -> list[str]: + """Get list of registered tool names.""" + return list(self._tools.keys()) + + def __len__(self) -> int: + return len(self._tools) + + def __contains__(self, name: str) -> bool: + return name in self._tools diff --git a/bot/vikingbot/agent/tools/shell.py b/bot/vikingbot/agent/tools/shell.py new file mode 100644 index 00000000..d94c9e70 --- /dev/null +++ b/bot/vikingbot/agent/tools/shell.py @@ -0,0 +1,63 @@ +"""Shell execution tool.""" + +import asyncio +import os +import re +from pathlib import Path +from typing import TYPE_CHECKING, Any + +from loguru import logger + +from vikingbot.agent.tools.base import Tool +from vikingbot.config.schema import SessionKey + + +from vikingbot.sandbox.manager import SandboxManager + + +class ExecTool(Tool): + """Tool to execute shell commands.""" + + def __init__(self, timeout: int = 60): + self.timeout = timeout + + @property + def name(self) -> str: + return "exec" + + @property + def description(self) -> str: + return "Execute a shell command and return its output. Use with caution." + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "command": {"type": "string", "description": "The shell command to execute"}, + "working_dir": { + "type": "string", + "description": "Optional working directory for the command", + }, + }, + "required": ["command"], + } + + async def execute( + self, + tool_context: "ToolContext", + command: str, + working_dir: str | None = None, + **kwargs: Any, + ) -> str: + + # Always use sandbox manager (includes direct mode) + try: + sandbox = await tool_context.sandbox_manager.get_sandbox(tool_context.session_key) + + if command.strip() == "pwd": + return sandbox.sandbox_cwd + + return await sandbox.execute(command, timeout=self.timeout) + except Exception as e: + return f"Error executing: {str(e)}" diff --git a/bot/vikingbot/agent/tools/spawn.py b/bot/vikingbot/agent/tools/spawn.py new file mode 100644 index 00000000..da4dded7 --- /dev/null +++ b/bot/vikingbot/agent/tools/spawn.py @@ -0,0 +1,59 @@ +"""Spawn tool for creating background subagents.""" + +from typing import Any, TYPE_CHECKING + +from vikingbot.agent.tools.base import Tool + + +from vikingbot.agent.subagent import SubagentManager + + +class SpawnTool(Tool): + """ + Tool to spawn a subagent for background task execution. + + The subagent runs asynchronously and announces its result back + to the main agent when complete. + """ + + def __init__(self, manager: "SubagentManager"): + self._manager = manager + + @property + def name(self) -> str: + return "spawn" + + @property + def description(self) -> str: + return ( + "Spawn a subagent to handle a task in the background. " + "Use this for complex or time-consuming tasks that can run independently. " + "The subagent will complete the task and report back when done." + ) + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "task": { + "type": "string", + "description": "The task for the subagent to complete", + }, + "label": { + "type": "string", + "description": "Optional short label for the task (for display)", + }, + }, + "required": ["task"], + } + + async def execute( + self, tool_context: "ToolContext", task: str, label: str | None = None, **kwargs: Any + ) -> str: + """Spawn a subagent to execute the given task.""" + return await self._manager.spawn( + task=task, + label=label, + session_key=tool_context.session_key, + ) diff --git a/bot/vikingbot/agent/tools/web.py b/bot/vikingbot/agent/tools/web.py new file mode 100644 index 00000000..7582c39e --- /dev/null +++ b/bot/vikingbot/agent/tools/web.py @@ -0,0 +1,143 @@ +"""Web tools: web_fetch.""" + +import html +import json +import re +from typing import Any +from urllib.parse import urlparse + +import httpx + +from vikingbot.agent.tools.base import Tool + +# Shared constants +USER_AGENT = "Mozilla/5.0 (Macintosh; Intel Mac OS X 14_7_2) AppleWebKit/537.36" +MAX_REDIRECTS = 5 # Limit redirects to prevent DoS attacks + + +def _strip_tags(text: str) -> str: + """Remove HTML tags and decode entities.""" + text = re.sub(r"", "", text, flags=re.I) + text = re.sub(r"", "", text, flags=re.I) + text = re.sub(r"<[^>]+>", "", text) + return html.unescape(text).strip() + + +def _normalize(text: str) -> str: + """Normalize whitespace.""" + text = re.sub(r"[ \t]+", " ", text) + return re.sub(r"\n{3,}", "\n\n", text).strip() + + +def _validate_url(url: str) -> tuple[bool, str]: + """Validate URL: must be http(s) with valid domain.""" + try: + p = urlparse(url) + if p.scheme not in ("http", "https"): + return False, f"Only http/https allowed, got '{p.scheme or 'none'}'" + if not p.netloc: + return False, "Missing domain" + return True, "" + except Exception as e: + return False, str(e) + + +class WebFetchTool(Tool): + """Fetch and extract content from a URL using Readability.""" + + name = "web_fetch" + description = "Fetch URL and extract readable content (HTML → markdown/text)." + parameters = { + "type": "object", + "properties": { + "url": {"type": "string", "description": "URL to fetch"}, + "extractMode": {"type": "string", "enum": ["markdown", "text"], "default": "markdown"}, + "maxChars": {"type": "integer", "minimum": 100}, + }, + "required": ["url"], + } + + def __init__(self, max_chars: int = 50000): + self.max_chars = max_chars + + async def execute( + self, + tool_context: "ToolContext", + url: str, + extractMode: str = "markdown", + maxChars: int | None = None, + **kwargs: Any, + ) -> str: + from readability import Document + + max_chars = maxChars or self.max_chars + + # Validate URL before fetching + is_valid, error_msg = _validate_url(url) + if not is_valid: + return json.dumps({"error": f"URL validation failed: {error_msg}", "url": url}) + + try: + async with httpx.AsyncClient( + follow_redirects=True, max_redirects=MAX_REDIRECTS, timeout=30.0 + ) as client: + r = await client.get(url, headers={"User-Agent": USER_AGENT}) + r.raise_for_status() + + ctype = r.headers.get("content-type", "") + + # JSON + if "application/json" in ctype: + text, extractor = json.dumps(r.json(), indent=2), "json" + # HTML + elif "text/html" in ctype or r.text[:256].lower().startswith((" max_chars + if truncated: + text = text[:max_chars] + + return json.dumps( + { + "url": url, + "finalUrl": str(r.url), + "status": r.status_code, + "extractor": extractor, + "truncated": truncated, + "length": len(text), + "text": text, + } + ) + except Exception as e: + return json.dumps({"error": str(e), "url": url}) + + def _to_markdown(self, html: str) -> str: + """Convert HTML to markdown.""" + # Convert links, headings, lists before stripping tags + text = re.sub( + r']*href=["\']([^"\']+)["\'][^>]*>([\s\S]*?)', + lambda m: f"[{_strip_tags(m[2])}]({m[1]})", + html, + flags=re.I, + ) + text = re.sub( + r"]*>([\s\S]*?)", + lambda m: f"\n{'#' * int(m[1])} {_strip_tags(m[2])}\n", + text, + flags=re.I, + ) + text = re.sub( + r"]*>([\s\S]*?)", lambda m: f"\n- {_strip_tags(m[1])}", text, flags=re.I + ) + text = re.sub(r"", "\n\n", text, flags=re.I) + text = re.sub(r"<(br|hr)\s*/?>", "\n", text, flags=re.I) + return _normalize(_strip_tags(text)) diff --git a/bot/vikingbot/agent/tools/websearch/__init__.py b/bot/vikingbot/agent/tools/websearch/__init__.py new file mode 100644 index 00000000..ac2d3784 --- /dev/null +++ b/bot/vikingbot/agent/tools/websearch/__init__.py @@ -0,0 +1,103 @@ +""" +Web search tool with multiple backends (brave, ddgs, exa). + +To add a new backend: + 1. Create new file: websearch/mybackend.py + 2. Inherit WebSearchBackend + 3. Add @register_backend decorator + 4. Import here: from . import mybackend + +NO NEED TO MODIFY THIS CLASS! +""" + +from typing import Any, Optional, Union + +from vikingbot.agent.tools.base import Tool + +from .base import WebSearchBackend +from .registry import registry + +# Import backends to register them +from . import brave, ddgs, exa + + +class WebSearchTool(Tool): + """ + Search the web with configurable backend. + + To add a new backend: + 1. Create new file: websearch/mybackend.py + 2. Inherit WebSearchBackend + 3. Add @register_backend decorator + 4. Import in websearch/__init__.py + + NO NEED TO MODIFY THIS CLASS! + """ + + name = "web_search" + description = "Search the web. Returns titles, URLs, and snippets." + parameters = { + "type": "object", + "properties": { + "query": {"type": "string", "description": "Search query"}, + "count": { + "type": "integer", + "description": "Results (1-20)", + "minimum": 1, + "maximum": 20, + }, + # Backend-specific optional parameters (forwarded to backend) + "type": { + "type": "string", + "enum": ["auto", "fast", "deep"], + "description": "Exa: Search type", + }, + "livecrawl": { + "type": "string", + "enum": ["fallback", "preferred"], + "description": "Exa: Live crawl mode", + }, + }, + "required": ["query"], + } + + def __init__( + self, + backend: Union[str, WebSearchBackend] = "auto", + brave_api_key: Optional[str] = None, + exa_api_key: Optional[str] = None, + max_results: int = 5, + ): + """ + Initialize WebSearchTool. + + Args: + backend: Backend name ("auto", "brave", "ddgs", "exa") or WebSearchBackend instance + brave_api_key: Brave Search API key + exa_api_key: Exa AI API key + max_results: Default max results + """ + self.max_results = max_results + self._brave_api_key = brave_api_key + self._exa_api_key = exa_api_key + + # Select backend + if isinstance(backend, WebSearchBackend): + self._backend = backend + elif backend == "auto": + self._backend = registry.select_auto(brave_api_key, exa_api_key) + else: + self._backend = registry.create(backend, brave_api_key, exa_api_key) + if not self._backend: + raise ValueError(f"Unknown backend: {backend}") + + @property + def backend(self) -> WebSearchBackend: + """Get the active backend.""" + return self._backend + + async def execute( + self, tool_context: "ToolContext", query: str, count: Optional[int] = None, **kwargs: Any + ) -> str: + n = min(max(count or self.max_results, 1), 20) + return await self._backend.search(query, n, **kwargs) diff --git a/bot/vikingbot/agent/tools/websearch/base.py b/bot/vikingbot/agent/tools/websearch/base.py new file mode 100644 index 00000000..86ec4330 --- /dev/null +++ b/bot/vikingbot/agent/tools/websearch/base.py @@ -0,0 +1,35 @@ +"""Web search backend base class.""" + +from abc import ABC, abstractmethod +from typing import Any + + +class WebSearchBackend(ABC): + """Abstract base class for web search backends.""" + + @property + @abstractmethod + def name(self) -> str: + """Backend name: brave, ddgs, exa.""" + pass + + @property + @abstractmethod + def is_available(self) -> bool: + """Check if this backend is available (API key configured, dependencies installed).""" + pass + + @abstractmethod + async def search(self, query: str, count: int, **kwargs: Any) -> str: + """ + Execute search. + + Args: + query: Search query + count: Number of results + **kwargs: Backend-specific parameters + + Returns: + Formatted search results string + """ + pass diff --git a/bot/vikingbot/agent/tools/websearch/brave.py b/bot/vikingbot/agent/tools/websearch/brave.py new file mode 100644 index 00000000..1a56cf1d --- /dev/null +++ b/bot/vikingbot/agent/tools/websearch/brave.py @@ -0,0 +1,51 @@ +"""Brave Search backend.""" + +import os +from typing import Any + +import httpx + +from .base import WebSearchBackend +from .registry import register_backend + + +@register_backend +class BraveBackend(WebSearchBackend): + """Brave Search API backend.""" + + name = "brave" + + def __init__(self, api_key: str | None = None): + self.api_key = api_key or os.environ.get("BRAVE_API_KEY", "") + + @property + def is_available(self) -> bool: + return bool(self.api_key) + + async def search(self, query: str, count: int, **kwargs: Any) -> str: + if not self.api_key: + return "Error: BRAVE_API_KEY not configured" + + try: + n = min(max(count, 1), 10) + async with httpx.AsyncClient() as client: + r = await client.get( + "https://api.search.brave.com/res/v1/web/search", + params={"q": query, "count": n}, + headers={"Accept": "application/json", "X-Subscription-Token": self.api_key}, + timeout=10.0, + ) + r.raise_for_status() + + results = r.json().get("web", {}).get("results", []) + if not results: + return f"No results for: {query}" + + lines = [f"Results for: {query}\n"] + for i, item in enumerate(results[:n], 1): + lines.append(f"{i}. {item.get('title', '')}\n {item.get('url', '')}") + if desc := item.get("description"): + lines.append(f" {desc}") + return "\n".join(lines) + except Exception as e: + return f"Error: {e}" diff --git a/bot/vikingbot/agent/tools/websearch/ddgs.py b/bot/vikingbot/agent/tools/websearch/ddgs.py new file mode 100644 index 00000000..99eaec01 --- /dev/null +++ b/bot/vikingbot/agent/tools/websearch/ddgs.py @@ -0,0 +1,52 @@ +"""DDGS (DuckDuckGo) backend - free, no API key required.""" + +import asyncio +from typing import Any + +from .base import WebSearchBackend +from .registry import register_backend + + +@register_backend +class DDGSBackend(WebSearchBackend): + """DDGS (DuckDuckGo) backend - free, no API key required.""" + + name = "ddgs" + + def __init__(self): + self._ddgs = None + + def _get_ddgs(self): + if self._ddgs is None: + from ddgs import DDGS + + self._ddgs = DDGS() + return self._ddgs + + @property + def is_available(self) -> bool: + try: + from ddgs import DDGS + + return True + except ImportError: + return False + + async def search(self, query: str, count: int, **kwargs: Any) -> str: + try: + n = min(max(count, 1), 20) + ddgs = self._get_ddgs() + + results = await asyncio.to_thread(ddgs.text, query=query, max_results=n) + + if not results: + return f"No results for: {query}" + + lines = [f"Results for: {query}\n"] + for i, item in enumerate(results[:n], 1): + lines.append(f"{i}. {item.get('title', '')}\n {item.get('href', '')}") + if body := item.get("body"): + lines.append(f" {body}") + return "\n".join(lines) + except Exception as e: + return f"Error: {e}" diff --git a/bot/vikingbot/agent/tools/websearch/exa.py b/bot/vikingbot/agent/tools/websearch/exa.py new file mode 100644 index 00000000..f718b6b5 --- /dev/null +++ b/bot/vikingbot/agent/tools/websearch/exa.py @@ -0,0 +1,64 @@ +"""Exa AI backend.""" + +import os +from typing import Any + +import httpx + +from .base import WebSearchBackend +from .registry import register_backend + + +@register_backend +class ExaBackend(WebSearchBackend): + """Exa AI API backend.""" + + name = "exa" + + def __init__(self, api_key: str | None = None): + self.api_key = api_key or os.environ.get("EXA_API_KEY", "") + + @property + def is_available(self) -> bool: + return bool(self.api_key) + + async def search( + self, query: str, count: int, type: str = "auto", livecrawl: str = "fallback", **kwargs: Any + ) -> str: + if not self.api_key: + return "Error: EXA_API_KEY not configured" + + try: + n = min(max(count, 1), 20) + async with httpx.AsyncClient() as client: + r = await client.post( + "https://api.exa.ai/search", + headers={ + "accept": "application/json", + "content-type": "application/json", + "x-api-key": self.api_key, + }, + json={ + "query": query, + "type": type, + "numResults": n, + "contents": {"text": True, "livecrawl": livecrawl}, + }, + timeout=25.0, + ) + r.raise_for_status() + + data = r.json() + results = data.get("results", []) + + if not results: + return f"No results for: {query}" + + lines = [f"Results for: {query}\n"] + for i, item in enumerate(results[:n], 1): + lines.append(f"{i}. {item.get('title', '')}\n {item.get('url', '')}") + if text := item.get("text"): + lines.append(f" {text[:500]}...") + return "\n".join(lines) + except Exception as e: + return f"Error: {e}" diff --git a/bot/vikingbot/agent/tools/websearch/registry.py b/bot/vikingbot/agent/tools/websearch/registry.py new file mode 100644 index 00000000..06b19932 --- /dev/null +++ b/bot/vikingbot/agent/tools/websearch/registry.py @@ -0,0 +1,103 @@ +"""Web search backend registry.""" + +from typing import Dict, List, Type, Optional + +from .base import WebSearchBackend + + +class WebSearchBackendRegistry: + """Registry for web search backends. + + Open/Closed Principle: Add new backends without modifying this class. + """ + + def __init__(self): + self._backends: Dict[str, Type[WebSearchBackend]] = {} + + def register(self, backend_class: Type[WebSearchBackend]) -> Type[WebSearchBackend]: + """ + Register a backend class. + + Usage: + @registry.register + class MyBackend(WebSearchBackend): + name = "mybackend" + ... + """ + name = backend_class.name + self._backends[name] = backend_class + return backend_class + + def get(self, name: str) -> Optional[Type[WebSearchBackend]]: + """Get backend class by name.""" + return self._backends.get(name) + + def list_names(self) -> List[str]: + """List all registered backend names.""" + return list(self._backends.keys()) + + def create( + self, name: str, brave_api_key: Optional[str] = None, exa_api_key: Optional[str] = None + ) -> Optional[WebSearchBackend]: + """ + Create a backend instance. + + Args: + name: Backend name + brave_api_key: Brave API key (for brave backend) + exa_api_key: Exa API key (for exa backend) + + Returns: + Backend instance or None + """ + backend_class = self.get(name) + if not backend_class: + return None + + # Pass appropriate parameters based on backend type + if name == "brave": + return backend_class(api_key=brave_api_key) + elif name == "exa": + return backend_class(api_key=exa_api_key) + else: + return backend_class() + + def select_auto( + self, brave_api_key: Optional[str] = None, exa_api_key: Optional[str] = None + ) -> WebSearchBackend: + """ + Auto-select the best available backend. + + Priority: exa → brave → ddgs + """ + priority = ["exa", "brave", "ddgs"] + + for name in priority: + backend = self.create(name, brave_api_key, exa_api_key) + if backend and backend.is_available: + return backend + + # Fallback to ddgs (should always be available if installed) + ddgs = self.create("ddgs") + if ddgs: + return ddgs + + raise RuntimeError("No web search backend available") + + +# Global registry instance +registry = WebSearchBackendRegistry() + + +# Decorator for easy registration +def register_backend(cls: Type[WebSearchBackend]) -> Type[WebSearchBackend]: + """ + Decorator to register a backend class. + + Usage: + @register_backend + class MyBackend(WebSearchBackend): + name = "mybackend" + ... + """ + return registry.register(cls) diff --git a/bot/vikingbot/bus/__init__.py b/bot/vikingbot/bus/__init__.py new file mode 100644 index 00000000..dc2ed5c0 --- /dev/null +++ b/bot/vikingbot/bus/__init__.py @@ -0,0 +1,6 @@ +"""Message bus module for decoupled channel-agent communication.""" + +from vikingbot.bus.events import InboundMessage, OutboundMessage +from vikingbot.bus.queue import MessageBus + +__all__ = ["MessageBus", "InboundMessage", "OutboundMessage"] diff --git a/bot/vikingbot/bus/events.py b/bot/vikingbot/bus/events.py new file mode 100644 index 00000000..98270219 --- /dev/null +++ b/bot/vikingbot/bus/events.py @@ -0,0 +1,37 @@ +"""Event types for the message bus.""" + +from dataclasses import dataclass, field +from datetime import datetime +from typing import Any + +from vikingbot.config.schema import SessionKey + + +@dataclass +class InboundMessage: + """Message received from a chat channel.""" + + # channel: str # telegram, discord, slack, whatsapp + sender_id: str # User identifier + # chat_id: str # Chat/channel identifier + content: str # Message text + session_key: SessionKey + timestamp: datetime = field(default_factory=datetime.now) + media: list[str] = field(default_factory=list) # Media URLs + metadata: dict[str, Any] = field(default_factory=dict) # Channel-specific data + + # @property + # def session_key(self) -> str: + # """Unique key for session identification.""" + # return f"{self.channel}:{self.chat_id}" + + +@dataclass +class OutboundMessage: + """Message to send to a chat channel.""" + + session_key: SessionKey + content: str + reply_to: str | None = None + media: list[str] = field(default_factory=list) + metadata: dict[str, Any] = field(default_factory=dict) diff --git a/bot/vikingbot/bus/queue.py b/bot/vikingbot/bus/queue.py new file mode 100644 index 00000000..82d3a002 --- /dev/null +++ b/bot/vikingbot/bus/queue.py @@ -0,0 +1,81 @@ +"""Async message queue for decoupled channel-agent communication.""" + +import asyncio +from typing import Callable, Awaitable + +from loguru import logger + +from vikingbot.bus.events import InboundMessage, OutboundMessage + + +class MessageBus: + """ + Async message bus that decouples chat channels from the agent core. + + Channels push messages to the inbound queue, and the agent processes + them and pushes responses to the outbound queue. + """ + + def __init__(self): + self.inbound: asyncio.Queue[InboundMessage] = asyncio.Queue() + self.outbound: asyncio.Queue[OutboundMessage] = asyncio.Queue() + self._outbound_subscribers: dict[ + str, list[Callable[[OutboundMessage], Awaitable[None]]] + ] = {} + self._running = False + + async def publish_inbound(self, msg: InboundMessage) -> None: + """Publish a message from a channel to the agent.""" + await self.inbound.put(msg) + + async def consume_inbound(self) -> InboundMessage: + """Consume the next inbound message (blocks until available).""" + return await self.inbound.get() + + async def publish_outbound(self, msg: OutboundMessage) -> None: + """Publish a response from the agent to channels.""" + await self.outbound.put(msg) + + async def consume_outbound(self) -> OutboundMessage: + """Consume the next outbound message (blocks until available).""" + return await self.outbound.get() + + def subscribe_outbound( + self, channel: str, callback: Callable[[OutboundMessage], Awaitable[None]] + ) -> None: + """Subscribe to outbound messages for a specific channel.""" + if channel not in self._outbound_subscribers: + self._outbound_subscribers[channel] = [] + self._outbound_subscribers[channel].append(callback) + + async def dispatch_outbound(self) -> None: + """ + Dispatch outbound messages to subscribed channels. + Run this as a background task. + """ + self._running = True + while self._running: + try: + msg = await asyncio.wait_for(self.outbound.get(), timeout=1.0) + subscribers = self._outbound_subscribers.get(msg.channel, []) + for callback in subscribers: + try: + await callback(msg) + except Exception as e: + logger.exception(f"Error dispatching to {msg.channel}: {e}") + except asyncio.TimeoutError: + continue + + def stop(self) -> None: + """Stop the dispatcher loop.""" + self._running = False + + @property + def inbound_size(self) -> int: + """Number of pending inbound messages.""" + return self.inbound.qsize() + + @property + def outbound_size(self) -> int: + """Number of pending outbound messages.""" + return self.outbound.qsize() diff --git a/bot/vikingbot/channels/__init__.py b/bot/vikingbot/channels/__init__.py new file mode 100644 index 00000000..2b468cd0 --- /dev/null +++ b/bot/vikingbot/channels/__init__.py @@ -0,0 +1,6 @@ +"""Chat channels module with plugin architecture.""" + +from vikingbot.channels.base import BaseChannel +from vikingbot.channels.manager import ChannelManager + +__all__ = ["BaseChannel", "ChannelManager"] diff --git a/bot/vikingbot/channels/base.py b/bot/vikingbot/channels/base.py new file mode 100644 index 00000000..f5cef1a7 --- /dev/null +++ b/bot/vikingbot/channels/base.py @@ -0,0 +1,337 @@ +"""Base channel interface for chat platforms.""" + +import base64 +import re +from abc import ABC, abstractmethod +from pathlib import Path +from typing import Any, Tuple + +import httpx +from loguru import logger + +from vikingbot.bus.events import InboundMessage, OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.config.schema import SessionKey, BaseChannelConfig +from vikingbot.utils import get_data_path + +# Optional HTML processing libraries +try: + import html2text + from bs4 import BeautifulSoup + from readability import Document + + HTML_PROCESSING_AVAILABLE = True +except ImportError: + HTML_PROCESSING_AVAILABLE = False + html2text = None + BeautifulSoup = None + Document = None + + +class BaseChannel(ABC): + """ + Abstract base class for chat channel implementations. + + Each channel (Telegram, Discord, etc.) should implement this interface + to integrate with the vikingbot message bus. + """ + + name: str = "base" + + def __init__( + self, config: BaseChannelConfig, bus: MessageBus, workspace_path: Path | None = None + ): + """ + Initialize the channel. + + Args: + config: Channel-specific configuration. + bus: The message bus for communication. + channel_id: Unique identifier for this channel (for multi-channel support). + workspace_path: Path to the user's workspace directory. + """ + self.config = config + self.bus = bus + self._running = False + self.channel_type = config.type + self.channel_id = config.channel_id() + self.workspace_path = workspace_path + + @abstractmethod + async def start(self) -> None: + """ + Start the channel and begin listening for messages. + + This should be a long-running async task that: + 1. Connects to the chat platform + 2. Listens for incoming messages + 3. Forwards messages to the bus via _handle_message() + """ + pass + + @abstractmethod + async def stop(self) -> None: + """Stop the channel and clean up resources.""" + pass + + @abstractmethod + async def send(self, msg: OutboundMessage) -> None: + """ + Send a message through this channel. + + Args: + msg: The message to send. + """ + pass + + def is_allowed(self, sender_id: str) -> bool: + """ + Check if a sender is allowed to use this bot. + + Args: + sender_id: The sender's identifier. + + Returns: + True if allowed, False otherwise. + """ + allow_list = getattr(self.config, "allow_from", []) + + # If no allow list, allow everyone + if not allow_list: + return True + + sender_str = str(sender_id) + if sender_str in allow_list: + return True + if "|" in sender_str: + for part in sender_str.split("|"): + if part and part in allow_list: + return True + return False + + async def _handle_message( + self, + sender_id: str, + chat_id: str, + content: str, + media: list[str] | None = None, + metadata: dict[str, Any] | None = None, + ) -> None: + """ + Handle an incoming message from the chat platform. + + This method checks permissions and forwards to the bus. + + Args: + sender_id: The sender's identifier. + chat_id: The chat/channel identifier. + content: Message text content. + media: Optional list of media URLs. + metadata: Optional channel-specific metadata. + """ + if not self.is_allowed(sender_id): + logger.warning( + f"Access denied for sender {sender_id} on channel {self.name}. " + f"Add them to allowFrom list in config to grant access." + ) + return + + msg = InboundMessage( + session_key=SessionKey( + type=str(self.channel_type.value), channel_id=self.channel_id, chat_id=chat_id + ), + sender_id=str(sender_id), + content=content, + media=media or [], + metadata=metadata or {}, + ) + + await self.bus.publish_inbound(msg) + + async def _parse_data_uri(self, data_uri: str) -> Tuple[bool, Any]: + """ + Parse data URI. Returns (is_content, result) where: + - is_content = False, result = bytes (image data) + - is_content = True, result = str (markdown content) + """ + if data_uri.startswith("data:"): + # Split header and data + header, data = data_uri.split(",", 1) + # Decode base64 + if ";base64" in header: + return False, base64.b64decode(data) + else: + return False, data.encode("utf-8") + # If it's a URL, download it + elif data_uri.startswith("http://") or data_uri.startswith("https://"): + async with httpx.AsyncClient(timeout=60.0) as client: + resp = await client.get(data_uri) + resp.raise_for_status() + content = resp.content + + # Check if it's HTML or image + is_html, result = self._process_html_content(content, data_uri) + if is_html: + return True, result + + # It's an image - validate + content_type = resp.headers.get("content-type", "") + if not content_type.startswith("image/") and not self._is_image_data(content): + logger.warning( + f"URL returned non-image content: {data_uri}, " + f"Content-Type: {content_type}, " + f"First 50 bytes: {content[:50]}" + ) + # Try to process as HTML anyway + is_html, result = self._process_html_content(content, data_uri) + if is_html: + return True, result + raise ValueError( + f"URL did not return an image or HTML: {data_uri}. " + f"Content-Type: {content_type}" + ) + + return False, content + elif data_uri.startswith("send://"): + path_obj = get_data_path() / "images" / data_uri.split("send://", 1)[1] + return False, path_obj.read_bytes() + else: + # Try to resolve as local file path + candidate_paths = [] + + # 1. Check if it's already an absolute path that exists + path_obj = Path(data_uri) + if path_obj.is_absolute(): + candidate_paths.append(path_obj) + + return False, path_obj.read_bytes() + + def _extract_images(self, content: str) -> tuple[list[str], str]: + """Extract image data URIs, URLs and local paths from content (support Markdown image syntax).""" + images = [] + # 新增 Markdown 图片语法匹配 + 原有 Data URI/网络URL 匹配 + # 匹配规则: + # 1. ![xxx](路径) 中的路径 + # 2. data: 开头的 Data URI + # 3. http/https 开头的网络链接 + pattern = r"!\[.*?\]\(([^)]+)\)|(data:[^,]+,[^\s]+|https?://[^\s]+)" + parts = [] + last_end = 0 + trailing_punctuation = ")].,!?:;'\">}`" + + for m in re.finditer(pattern, content): + before = content[last_end : m.start()] + if before.strip(): + parts.append(before) + + # 优先取 Markdown 图片里的路径(第一个分组),再取 Data URI/URL(第二个分组) + uri = m.group(1) if m.group(1) else m.group(2) + if not uri: + last_end = m.end() + continue + + # 清理末尾标点 + while uri and uri[-1] in trailing_punctuation: + uri = uri[:-1] + + images.append(uri) + last_end = m.end() + + remaining = content[last_end:] + if remaining.strip(): + parts.append(remaining) + + return images, "\n".join(parts) + + def _is_image_data(self, data: bytes) -> bool: + """Check if bytes represent a valid image by magic numbers.""" + # Common image magic numbers + image_magics = [ + b"\xff\xd8\xff", # JPEG + b"\x89PNG\r\n\x1a\n", # PNG + b"GIF87a", # GIF87 + b"GIF89a", # GIF89 + b"RIFF" and b"WEBP", # WebP (simplified check) + b"= 12 and data[:4] == b"RIFF" and data[8:12] == b"WEBP": + return True + + return False + + def _html_to_markdown(self, html_content: str, url: str = "") -> str: + """Convert HTML content to Markdown, extracting main article content.""" + if not HTML_PROCESSING_AVAILABLE: + logger.warning("HTML processing libraries not available, returning raw link") + return url if url else html_content[:500] + + try: + # First try: Use readability to extract main content + doc = Document(html_content) + main_html = doc.summary() + title = doc.title() + + # Then convert to Markdown + h = html2text.HTML2Text() + h.ignore_links = False + h.ignore_images = False + h.body_width = 0 # No line wrapping + h.unicode_snob = True + + markdown = h.handle(main_html) + + # Combine title + content + result = "" + if title: + result += f"# {title}\n\n" + result += markdown + + # Add source link if available + if url: + result += f"\n\n---\n\nSource: {url}" + + return result.strip() + + except Exception as e: + logger.warning(f"HTML to Markdown conversion failed: {e}") + # Fallback: just return a link if we have it + return url if url else html_content[:1000] + + def _process_html_content(self, data: bytes, url: str = "") -> Tuple[bool, Any]: + """ + Process content that might be HTML. + Returns (is_html, result) where result is either: + - (bytes) if it's an image + - (str) markdown if it's HTML content + """ + # First check if it's an image + if self._is_image_data(data): + return False, data + + # Check if it's HTML + try: + text_content = data.decode("utf-8", errors="ignore") + if " bool: + """Check if the channel is running.""" + return self._running diff --git a/bot/vikingbot/channels/dingtalk.py b/bot/vikingbot/channels/dingtalk.py new file mode 100644 index 00000000..3584b122 --- /dev/null +++ b/bot/vikingbot/channels/dingtalk.py @@ -0,0 +1,245 @@ +"""DingTalk/DingDing channel implementation using Stream Mode.""" + +import asyncio +import json +import time +from typing import Any + +from loguru import logger +import httpx + +from vikingbot.bus.events import OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.channels.base import BaseChannel +from vikingbot.config.schema import DingTalkChannelConfig + +try: + from dingtalk_stream import ( + DingTalkStreamClient, + Credential, + CallbackHandler, + CallbackMessage, + AckMessage, + ) + from dingtalk_stream.chatbot import ChatbotMessage + + DINGTALK_AVAILABLE = True +except ImportError: + DINGTALK_AVAILABLE = False + # Fallback so class definitions don't crash at module level + CallbackHandler = object # type: ignore[assignment,misc] + CallbackMessage = None # type: ignore[assignment,misc] + AckMessage = None # type: ignore[assignment,misc] + ChatbotMessage = None # type: ignore[assignment,misc] + + +class NanobotDingTalkHandler(CallbackHandler): + """ + Standard DingTalk Stream SDK Callback Handler. + Parses incoming messages and forwards them to the Nanobot channel. + """ + + def __init__(self, channel: "DingTalkChannel"): + super().__init__() + self.channel = channel + + async def process(self, message: CallbackMessage): + """Process incoming stream message.""" + try: + # Parse using SDK's ChatbotMessage for robust handling + chatbot_msg = ChatbotMessage.from_dict(message.data) + + # Extract text content; fall back to raw dict if SDK object is empty + content = "" + if chatbot_msg.text: + content = chatbot_msg.text.content.strip() + if not content: + content = message.data.get("text", {}).get("content", "").strip() + + if not content: + logger.warning( + f"Received empty or unsupported message type: {chatbot_msg.message_type}" + ) + return AckMessage.STATUS_OK, "OK" + + sender_id = chatbot_msg.sender_staff_id or chatbot_msg.sender_id + sender_name = chatbot_msg.sender_nick or "Unknown" + + logger.info(f"Received DingTalk message from {sender_name} ({sender_id}): {content}") + + # Forward to Nanobot via _on_message (non-blocking). + # Store reference to prevent GC before task completes. + task = asyncio.create_task(self.channel._on_message(content, sender_id, sender_name)) + self.channel._background_tasks.add(task) + task.add_done_callback(self.channel._background_tasks.discard) + + return AckMessage.STATUS_OK, "OK" + + except Exception as e: + logger.exception(f"Error processing DingTalk message: {e}") + # Return OK to avoid retry loop from DingTalk server + return AckMessage.STATUS_OK, "Error" + + +class DingTalkChannel(BaseChannel): + """ + DingTalk channel using Stream Mode. + + Uses WebSocket to receive events via `dingtalk-stream` SDK. + Uses direct HTTP API to send messages (SDK is mainly for receiving). + + Note: Currently only supports private (1:1) chat. Group messages are + received but replies are sent back as private messages to the sender. + """ + + name = "dingtalk" + + def __init__(self, config: DingTalkChannelConfig, bus: MessageBus, **kwargs): + super().__init__(config, bus, **kwargs) + self.config: DingTalkChannelConfig = config + self._client: Any = None + self._http: httpx.AsyncClient | None = None + + # Access Token management for sending messages + self._access_token: str | None = None + self._token_expiry: float = 0 + + # Hold references to background tasks to prevent GC + self._background_tasks: set[asyncio.Task] = set() + + async def start(self) -> None: + """Start the DingTalk bot with Stream Mode.""" + try: + if not DINGTALK_AVAILABLE: + logger.exception( + "DingTalk Stream SDK not installed. Run: pip install dingtalk-stream" + ) + return + + if not self.config.client_id or not self.config.client_secret: + logger.exception("DingTalk client_id and client_secret not configured") + return + + self._running = True + self._http = httpx.AsyncClient() + + logger.info( + f"Initializing DingTalk Stream Client with Client ID: {self.config.client_id}..." + ) + credential = Credential(self.config.client_id, self.config.client_secret) + self._client = DingTalkStreamClient(credential) + + # Register standard handler + handler = NanobotDingTalkHandler(self) + self._client.register_callback_handler(ChatbotMessage.TOPIC, handler) + + logger.info("DingTalk bot started with Stream Mode") + + # Reconnect loop: restart stream if SDK exits or crashes + while self._running: + try: + await self._client.start() + except Exception as e: + logger.warning(f"DingTalk stream error: {e}") + if self._running: + logger.info("Reconnecting DingTalk stream in 5 seconds...") + await asyncio.sleep(5) + + except Exception as e: + logger.exception(f"Failed to start DingTalk channel: {e}") + + async def stop(self) -> None: + """Stop the DingTalk bot.""" + self._running = False + # Close the shared HTTP client + if self._http: + await self._http.aclose() + self._http = None + # Cancel outstanding background tasks + for task in self._background_tasks: + task.cancel() + self._background_tasks.clear() + + async def _get_access_token(self) -> str | None: + """Get or refresh Access Token.""" + if self._access_token and time.time() < self._token_expiry: + return self._access_token + + url = "https://api.dingtalk.com/v1.0/oauth2/accessToken" + data = { + "appKey": self.config.client_id, + "appSecret": self.config.client_secret, + } + + if not self._http: + logger.warning("DingTalk HTTP client not initialized, cannot refresh token") + return None + + try: + resp = await self._http.post(url, json=data) + resp.raise_for_status() + res_data = resp.json() + self._access_token = res_data.get("accessToken") + # Expire 60s early to be safe + self._token_expiry = time.time() + int(res_data.get("expireIn", 7200)) - 60 + return self._access_token + except Exception as e: + logger.exception(f"Failed to get DingTalk access token: {e}") + return None + + async def send(self, msg: OutboundMessage) -> None: + """Send a message through DingTalk.""" + token = await self._get_access_token() + if not token: + return + + # oToMessages/batchSend: sends to individual users (private chat) + # https://open.dingtalk.com/document/orgapp/robot-batch-send-messages + url = "https://api.dingtalk.com/v1.0/robot/oToMessages/batchSend" + + headers = {"x-acs-dingtalk-access-token": token} + + data = { + "robotCode": self.config.client_id, + "userIds": [msg.session_key.chat_id], # chat_id is the user's staffId + "msgKey": "sampleMarkdown", + "msgParam": json.dumps( + { + "text": msg.content, + "title": "Nanobot Reply", + } + ), + } + + if not self._http: + logger.warning("DingTalk HTTP client not initialized, cannot send") + return + + try: + resp = await self._http.post(url, json=data, headers=headers) + if resp.status_code != 200: + logger.exception(f"DingTalk send failed: {resp.text}") + else: + logger.debug(f"DingTalk message sent to {msg.session_key.chat_id}") + except Exception as e: + logger.exception(f"Error sending DingTalk message: {e}") + + async def _on_message(self, content: str, sender_id: str, sender_name: str) -> None: + """Handle incoming message (called by NanobotDingTalkHandler). + + Delegates to BaseChannel._handle_message() which enforces allow_from + permission checks before publishing to the bus. + """ + try: + logger.info(f"DingTalk inbound: {content} from {sender_name}") + await self._handle_message( + sender_id=sender_id, + chat_id=sender_id, # For private chat, chat_id == sender_id + content=str(content), + metadata={ + "sender_name": sender_name, + "platform": "dingtalk", + }, + ) + except Exception as e: + logger.exception(f"Error publishing DingTalk message: {e}") diff --git a/bot/vikingbot/channels/discord.py b/bot/vikingbot/channels/discord.py new file mode 100644 index 00000000..b1e43388 --- /dev/null +++ b/bot/vikingbot/channels/discord.py @@ -0,0 +1,268 @@ +"""Discord channel implementation using Discord Gateway websocket.""" + +import asyncio +import json +from pathlib import Path +from typing import Any + +import httpx +import websockets +from loguru import logger + +from vikingbot.bus.events import OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.channels.base import BaseChannel +from vikingbot.config.schema import DiscordChannelConfig +from vikingbot.channels.utils import extract_image_paths, read_image_file + + +DISCORD_API_BASE = "https://discord.com/api/v10" +MAX_ATTACHMENT_BYTES = 20 * 1024 * 1024 # 20MB + + +class DiscordChannel(BaseChannel): + """Discord channel using Gateway websocket.""" + + name = "discord" + + def __init__(self, config: DiscordChannelConfig, bus: MessageBus, **kwargs): + super().__init__(config, bus, **kwargs) + self.config: DiscordChannelConfig = config + self._ws: websockets.WebSocketClientProtocol | None = None + self._seq: int | None = None + self._heartbeat_task: asyncio.Task | None = None + self._typing_tasks: dict[str, asyncio.Task] = {} + self._http: httpx.AsyncClient | None = None + + async def start(self) -> None: + """Start the Discord gateway connection.""" + if not self.config.token: + logger.exception("Discord bot token not configured") + return + + self._running = True + self._http = httpx.AsyncClient(timeout=30.0) + + while self._running: + try: + logger.info("Connecting to Discord gateway...") + async with websockets.connect(self.config.gateway_url) as ws: + self._ws = ws + await self._gateway_loop() + except asyncio.CancelledError: + break + except Exception as e: + logger.warning(f"Discord gateway error: {e}") + if self._running: + logger.info("Reconnecting to Discord gateway in 5 seconds...") + await asyncio.sleep(5) + + async def stop(self) -> None: + """Stop the Discord channel.""" + self._running = False + if self._heartbeat_task: + self._heartbeat_task.cancel() + self._heartbeat_task = None + for task in self._typing_tasks.values(): + task.cancel() + self._typing_tasks.clear() + if self._ws: + await self._ws.close() + self._ws = None + if self._http: + await self._http.aclose() + self._http = None + + async def send(self, msg: OutboundMessage) -> None: + """Send a message through Discord REST API.""" + if not self._http: + logger.warning("Discord HTTP client not initialized") + return + + url = f"{DISCORD_API_BASE}/channels/{msg.session_key.chat_id}/messages" + payload: dict[str, Any] = {"content": msg.content} + + if msg.reply_to: + payload["message_reference"] = {"message_id": msg.reply_to} + payload["allowed_mentions"] = {"replied_user": False} + + headers = {"Authorization": f"Bot {self.config.token}"} + + try: + for attempt in range(3): + try: + response = await self._http.post(url, headers=headers, json=payload) + if response.status_code == 429: + data = response.json() + retry_after = float(data.get("retry_after", 1.0)) + logger.warning(f"Discord rate limited, retrying in {retry_after}s") + await asyncio.sleep(retry_after) + continue + response.raise_for_status() + return + except Exception as e: + if attempt == 2: + logger.exception(f"Error sending Discord message: {e}") + else: + await asyncio.sleep(1) + finally: + await self._stop_typing(msg.session_key.chat_id) + + async def _gateway_loop(self) -> None: + """Main gateway loop: identify, heartbeat, dispatch events.""" + if not self._ws: + return + + async for raw in self._ws: + try: + data = json.loads(raw) + except json.JSONDecodeError: + logger.warning(f"Invalid JSON from Discord gateway: {raw[:100]}") + continue + + op = data.get("op") + event_type = data.get("t") + seq = data.get("s") + payload = data.get("d") + + if seq is not None: + self._seq = seq + + if op == 10: + # HELLO: start heartbeat and identify + interval_ms = payload.get("heartbeat_interval", 45000) + await self._start_heartbeat(interval_ms / 1000) + await self._identify() + elif op == 0 and event_type == "READY": + logger.info("Discord gateway READY") + elif op == 0 and event_type == "MESSAGE_CREATE": + await self._handle_message_create(payload) + elif op == 7: + # RECONNECT: exit loop to reconnect + logger.info("Discord gateway requested reconnect") + break + elif op == 9: + # INVALID_SESSION: reconnect + logger.warning("Discord gateway invalid session") + break + + async def _identify(self) -> None: + """Send IDENTIFY payload.""" + if not self._ws: + return + + identify = { + "op": 2, + "d": { + "token": self.config.token, + "intents": self.config.intents, + "properties": { + "os": "vikingbot", + "browser": "vikingbot", + "device": "vikingbot", + }, + }, + } + await self._ws.send(json.dumps(identify)) + + async def _start_heartbeat(self, interval_s: float) -> None: + """Start or restart the heartbeat loop.""" + if self._heartbeat_task: + self._heartbeat_task.cancel() + + async def heartbeat_loop() -> None: + while self._running and self._ws: + payload = {"op": 1, "d": self._seq} + try: + await self._ws.send(json.dumps(payload)) + except Exception as e: + logger.warning(f"Discord heartbeat failed: {e}") + break + await asyncio.sleep(interval_s) + + self._heartbeat_task = asyncio.create_task(heartbeat_loop()) + + async def _handle_message_create(self, payload: dict[str, Any]) -> None: + """Handle incoming Discord messages.""" + author = payload.get("author") or {} + if author.get("bot"): + return + + sender_id = str(author.get("id", "")) + channel_id = str(payload.get("channel_id", "")) + content = payload.get("content") or "" + + if not sender_id or not channel_id: + return + + if not self.is_allowed(sender_id): + return + + content_parts = [content] if content else [] + media_paths: list[str] = [] + if self.workspace_path: + media_dir = self.workspace_path / "media" + else: + # Fallback to ~/.vikingbot/media if workspace not available + media_dir = Path.home() / ".vikingbot" / "media" + + for attachment in payload.get("attachments") or []: + url = attachment.get("url") + filename = attachment.get("filename") or "attachment" + size = attachment.get("size") or 0 + if not url or not self._http: + continue + if size and size > MAX_ATTACHMENT_BYTES: + content_parts.append(f"[attachment: {filename} - too large]") + continue + try: + media_dir.mkdir(parents=True, exist_ok=True) + file_path = ( + media_dir / f"{attachment.get('id', 'file')}_{filename.replace('/', '_')}" + ) + resp = await self._http.get(url) + resp.raise_for_status() + file_path.write_bytes(resp.content) + media_paths.append(str(file_path)) + content_parts.append(f"[attachment: {file_path}]") + except Exception as e: + logger.warning(f"Failed to download Discord attachment: {e}") + content_parts.append(f"[attachment: {filename} - download failed]") + + reply_to = (payload.get("referenced_message") or {}).get("id") + + await self._start_typing(channel_id) + + await self._handle_message( + sender_id=sender_id, + chat_id=channel_id, + content="\n".join(p for p in content_parts if p) or "[empty message]", + media=media_paths, + metadata={ + "message_id": str(payload.get("id", "")), + "guild_id": payload.get("guild_id"), + "reply_to": reply_to, + }, + ) + + async def _start_typing(self, channel_id: str) -> None: + """Start periodic typing indicator for a channel.""" + await self._stop_typing(channel_id) + + async def typing_loop() -> None: + url = f"{DISCORD_API_BASE}/channels/{channel_id}/typing" + headers = {"Authorization": f"Bot {self.config.token}"} + while self._running: + try: + await self._http.post(url, headers=headers) + except Exception: + pass + await asyncio.sleep(8) + + self._typing_tasks[channel_id] = asyncio.create_task(typing_loop()) + + async def _stop_typing(self, channel_id: str) -> None: + """Stop typing indicator for a channel.""" + task = self._typing_tasks.pop(channel_id, None) + if task: + task.cancel() diff --git a/bot/vikingbot/channels/email.py b/bot/vikingbot/channels/email.py new file mode 100644 index 00000000..3dbd4e16 --- /dev/null +++ b/bot/vikingbot/channels/email.py @@ -0,0 +1,409 @@ +"""Email channel implementation using IMAP polling + SMTP replies.""" + +import asyncio +import html +import imaplib +import re +import smtplib +import ssl +from datetime import date +from email import policy +from email.header import decode_header, make_header +from email.message import EmailMessage +from email.parser import BytesParser +from email.utils import parseaddr +from typing import Any + +from loguru import logger + +from vikingbot.bus.events import OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.channels.base import BaseChannel +from vikingbot.config.schema import EmailChannelConfig + + +class EmailChannel(BaseChannel): + """ + Email channel. + + Inbound: + - Poll IMAP mailbox for unread messages. + - Convert each message into an inbound event. + + Outbound: + - Send responses via SMTP back to the sender address. + """ + + name = "email" + _IMAP_MONTHS = ( + "Jan", + "Feb", + "Mar", + "Apr", + "May", + "Jun", + "Jul", + "Aug", + "Sep", + "Oct", + "Nov", + "Dec", + ) + + def __init__(self, config: EmailChannelConfig, bus: MessageBus, **kwargs): + super().__init__(config, bus, **kwargs) + self.config: EmailChannelConfig = config + self._last_subject_by_chat: dict[str, str] = {} + self._last_message_id_by_chat: dict[str, str] = {} + self._processed_uids: set[str] = set() # Capped to prevent unbounded growth + self._MAX_PROCESSED_UIDS = 100000 + + async def start(self) -> None: + """Start polling IMAP for inbound emails.""" + if not self.config.consent_granted: + logger.warning( + "Email channel disabled: consent_granted is false. " + "Set channels.email.consentGranted=true after explicit user permission." + ) + return + + if not self._validate_config(): + return + + self._running = True + logger.info("Starting Email channel (IMAP polling mode)...") + + poll_seconds = max(5, int(self.config.poll_interval_seconds)) + while self._running: + try: + inbound_items = await asyncio.to_thread(self._fetch_new_messages) + for item in inbound_items: + sender = item["sender"] + subject = item.get("subject", "") + message_id = item.get("message_id", "") + + if subject: + self._last_subject_by_chat[sender] = subject + if message_id: + self._last_message_id_by_chat[sender] = message_id + + await self._handle_message( + sender_id=sender, + chat_id=sender, + content=item["content"], + metadata=item.get("metadata", {}), + ) + except Exception as e: + logger.exception(f"Email polling error: {e}") + + await asyncio.sleep(poll_seconds) + + async def stop(self) -> None: + """Stop polling loop.""" + self._running = False + + async def send(self, msg: OutboundMessage) -> None: + """Send email via SMTP.""" + if not self.config.consent_granted: + logger.warning("Skip email send: consent_granted is false") + return + + force_send = bool((msg.metadata or {}).get("force_send")) + if not self.config.auto_reply_enabled and not force_send: + logger.info("Skip automatic email reply: auto_reply_enabled is false") + return + + if not self.config.smtp_host: + logger.warning("Email channel SMTP host not configured") + return + + to_addr = msg.session_key.chat_id.strip() + if not to_addr: + logger.warning("Email channel missing recipient address") + return + + base_subject = self._last_subject_by_chat.get(to_addr, "vikingbot reply") + subject = self._reply_subject(base_subject) + if msg.metadata and isinstance(msg.metadata.get("subject"), str): + override = msg.metadata["subject"].strip() + if override: + subject = override + + email_msg = EmailMessage() + email_msg["From"] = ( + self.config.from_address or self.config.smtp_username or self.config.imap_username + ) + email_msg["To"] = to_addr + email_msg["Subject"] = subject + email_msg.set_content(msg.content or "") + + in_reply_to = self._last_message_id_by_chat.get(to_addr) + if in_reply_to: + email_msg["In-Reply-To"] = in_reply_to + email_msg["References"] = in_reply_to + + try: + await asyncio.to_thread(self._smtp_send, email_msg) + except Exception as e: + logger.exception(f"Error sending email to {to_addr}: {e}") + raise + + def _validate_config(self) -> bool: + missing = [] + if not self.config.imap_host: + missing.append("imap_host") + if not self.config.imap_username: + missing.append("imap_username") + if not self.config.imap_password: + missing.append("imap_password") + if not self.config.smtp_host: + missing.append("smtp_host") + if not self.config.smtp_username: + missing.append("smtp_username") + if not self.config.smtp_password: + missing.append("smtp_password") + + if missing: + logger.exception(f"Email channel not configured, missing: {', '.join(missing)}") + return False + return True + + def _smtp_send(self, msg: EmailMessage) -> None: + timeout = 30 + if self.config.smtp_use_ssl: + with smtplib.SMTP_SSL( + self.config.smtp_host, + self.config.smtp_port, + timeout=timeout, + ) as smtp: + smtp.login(self.config.smtp_username, self.config.smtp_password) + smtp.send_message(msg) + return + + with smtplib.SMTP(self.config.smtp_host, self.config.smtp_port, timeout=timeout) as smtp: + if self.config.smtp_use_tls: + smtp.starttls(context=ssl.create_default_context()) + smtp.login(self.config.smtp_username, self.config.smtp_password) + smtp.send_message(msg) + + def _fetch_new_messages(self) -> list[dict[str, Any]]: + """Poll IMAP and return parsed unread messages.""" + return self._fetch_messages( + search_criteria=("UNSEEN",), + mark_seen=self.config.mark_seen, + dedupe=True, + limit=0, + ) + + def fetch_messages_between_dates( + self, + start_date: date, + end_date: date, + limit: int = 20, + ) -> list[dict[str, Any]]: + """ + Fetch messages in [start_date, end_date) by IMAP date search. + + This is used for historical summarization tasks (e.g. "yesterday"). + """ + if end_date <= start_date: + return [] + + return self._fetch_messages( + search_criteria=( + "SINCE", + self._format_imap_date(start_date), + "BEFORE", + self._format_imap_date(end_date), + ), + mark_seen=False, + dedupe=False, + limit=max(1, int(limit)), + ) + + def _fetch_messages( + self, + search_criteria: tuple[str, ...], + mark_seen: bool, + dedupe: bool, + limit: int, + ) -> list[dict[str, Any]]: + """Fetch messages by arbitrary IMAP search criteria.""" + messages: list[dict[str, Any]] = [] + mailbox = self.config.imap_mailbox or "INBOX" + + if self.config.imap_use_ssl: + client = imaplib.IMAP4_SSL(self.config.imap_host, self.config.imap_port) + else: + client = imaplib.IMAP4(self.config.imap_host, self.config.imap_port) + + try: + client.login(self.config.imap_username, self.config.imap_password) + status, _ = client.select(mailbox) + if status != "OK": + return messages + + status, data = client.search(None, *search_criteria) + if status != "OK" or not data: + return messages + + ids = data[0].split() + if limit > 0 and len(ids) > limit: + ids = ids[-limit:] + for imap_id in ids: + status, fetched = client.fetch(imap_id, "(BODY.PEEK[] UID)") + if status != "OK" or not fetched: + continue + + raw_bytes = self._extract_message_bytes(fetched) + if raw_bytes is None: + continue + + uid = self._extract_uid(fetched) + if dedupe and uid and uid in self._processed_uids: + continue + + parsed = BytesParser(policy=policy.default).parsebytes(raw_bytes) + sender = parseaddr(parsed.get("From", ""))[1].strip().lower() + if not sender: + continue + + subject = self._decode_header_value(parsed.get("Subject", "")) + date_value = parsed.get("Date", "") + message_id = parsed.get("Message-ID", "").strip() + body = self._extract_text_body(parsed) + + if not body: + body = "(empty email body)" + + body = body[: self.config.max_body_chars] + content = ( + f"Email received.\n" + f"From: {sender}\n" + f"Subject: {subject}\n" + f"Date: {date_value}\n\n" + f"{body}" + ) + + metadata = { + "message_id": message_id, + "subject": subject, + "date": date_value, + "sender_email": sender, + "uid": uid, + } + messages.append( + { + "sender": sender, + "subject": subject, + "message_id": message_id, + "content": content, + "metadata": metadata, + } + ) + + if dedupe and uid: + self._processed_uids.add(uid) + # mark_seen is the primary dedup; this set is a safety net + if len(self._processed_uids) > self._MAX_PROCESSED_UIDS: + self._processed_uids.clear() + + if mark_seen: + client.store(imap_id, "+FLAGS", "\\Seen") + finally: + try: + client.logout() + except Exception: + pass + + return messages + + @classmethod + def _format_imap_date(cls, value: date) -> str: + """Format date for IMAP search (always English month abbreviations).""" + month = cls._IMAP_MONTHS[value.month - 1] + return f"{value.day:02d}-{month}-{value.year}" + + @staticmethod + def _extract_message_bytes(fetched: list[Any]) -> bytes | None: + for item in fetched: + if ( + isinstance(item, tuple) + and len(item) >= 2 + and isinstance(item[1], (bytes, bytearray)) + ): + return bytes(item[1]) + return None + + @staticmethod + def _extract_uid(fetched: list[Any]) -> str: + for item in fetched: + if isinstance(item, tuple) and item and isinstance(item[0], (bytes, bytearray)): + head = bytes(item[0]).decode("utf-8", errors="ignore") + m = re.search(r"UID\s+(\d+)", head) + if m: + return m.group(1) + return "" + + @staticmethod + def _decode_header_value(value: str) -> str: + if not value: + return "" + try: + return str(make_header(decode_header(value))) + except Exception: + return value + + @classmethod + def _extract_text_body(cls, msg: Any) -> str: + """Best-effort extraction of readable body text.""" + if msg.is_multipart(): + plain_parts: list[str] = [] + html_parts: list[str] = [] + for part in msg.walk(): + if part.get_content_disposition() == "attachment": + continue + content_type = part.get_content_type() + try: + payload = part.get_content() + except Exception: + payload_bytes = part.get_payload(decode=True) or b"" + charset = part.get_content_charset() or "utf-8" + payload = payload_bytes.decode(charset, errors="replace") + if not isinstance(payload, str): + continue + if content_type == "text/plain": + plain_parts.append(payload) + elif content_type == "text/html": + html_parts.append(payload) + if plain_parts: + return "\n\n".join(plain_parts).strip() + if html_parts: + return cls._html_to_text("\n\n".join(html_parts)).strip() + return "" + + try: + payload = msg.get_content() + except Exception: + payload_bytes = msg.get_payload(decode=True) or b"" + charset = msg.get_content_charset() or "utf-8" + payload = payload_bytes.decode(charset, errors="replace") + if not isinstance(payload, str): + return "" + if msg.get_content_type() == "text/html": + return cls._html_to_text(payload).strip() + return payload.strip() + + @staticmethod + def _html_to_text(raw_html: str) -> str: + text = re.sub(r"<\s*br\s*/?>", "\n", raw_html, flags=re.IGNORECASE) + text = re.sub(r"<\s*/\s*p\s*>", "\n", text, flags=re.IGNORECASE) + text = re.sub(r"<[^>]+>", "", text) + return html.unescape(text) + + def _reply_subject(self, base_subject: str) -> str: + subject = (base_subject or "").strip() or "vikingbot reply" + prefix = self.config.subject_prefix or "Re: " + if subject.lower().startswith("re:"): + return subject + return f"{prefix}{subject}" diff --git a/bot/vikingbot/channels/feishu.py b/bot/vikingbot/channels/feishu.py new file mode 100644 index 00000000..1aa78796 --- /dev/null +++ b/bot/vikingbot/channels/feishu.py @@ -0,0 +1,652 @@ +"""Feishu/Lark channel implementation using lark-oapi SDK with WebSocket long connection.""" + +import asyncio +import base64 +import io +import json +import re +import os +import threading +import tempfile +from collections import OrderedDict +from pathlib import Path +from typing import Any, Tuple +from urllib.parse import urlparse + +import httpx +from loguru import logger + +from vikingbot.utils import get_data_path +import httpx +from loguru import logger + +from vikingbot.utils import get_data_path + +# Optional HTML processing libraries +try: + import html2text + from bs4 import BeautifulSoup + from readability import Document + + HTML_PROCESSING_AVAILABLE = True +except ImportError: + HTML_PROCESSING_AVAILABLE = False + html2text = None + BeautifulSoup = None + Document = None + +from vikingbot.bus.events import OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.channels.base import BaseChannel +from vikingbot.config.schema import FeishuChannelConfig + +try: + import lark_oapi as lark + from lark_oapi.api.im.v1 import ( + CreateMessageRequest, + CreateMessageRequestBody, + CreateMessageReactionRequest, + CreateMessageReactionRequestBody, + Emoji, + P2ImMessageReceiveV1, + GetImageRequest, + GetMessageResourceRequest, + ) + + FEISHU_AVAILABLE = True +except ImportError: + FEISHU_AVAILABLE = False + lark = None + Emoji = None + GetImageRequest = None + +# Message type display mapping +MSG_TYPE_MAP = { + "image": "[image]", + "audio": "[audio]", + "file": "[file]", + "sticker": "[sticker]", +} + + +class FeishuChannel(BaseChannel): + """ + Feishu/Lark channel using WebSocket long connection. + + Uses WebSocket to receive events - no public IP or webhook required. + + Requires: + - App ID and App Secret from Feishu Open Platform + - Bot capability enabled + - Event subscription enabled (im.message.receive_v1) + """ + + name = "feishu" + + def __init__(self, config: FeishuChannelConfig, bus: MessageBus, **kwargs): + super().__init__(config, bus, **kwargs) + self.config: FeishuChannelConfig = config + self._client: Any = None + self._ws_client: Any = None + self._ws_thread: threading.Thread | None = None + self._processed_message_ids: OrderedDict[str, None] = OrderedDict() # Ordered dedup cache + self._loop: asyncio.AbstractEventLoop | None = None + self._tenant_access_token: str | None = None + self._token_expire_time: float = 0 + + async def _get_tenant_access_token(self) -> str: + """Get tenant access token for Feishu API.""" + import time + + now = time.time() + if ( + self._tenant_access_token and now < self._token_expire_time - 60 + ): # Refresh 1 min before expire + return self._tenant_access_token + + url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal" + payload = {"app_id": self.config.app_id, "app_secret": self.config.app_secret} + + async with httpx.AsyncClient(timeout=30.0) as client: + resp = await client.post(url, json=payload) + resp.raise_for_status() + result = resp.json() + if result.get("code") != 0: + raise Exception(f"Failed to get tenant access token: {result}") + + self._tenant_access_token = result["tenant_access_token"] + self._token_expire_time = now + result.get("expire", 7200) + return self._tenant_access_token + + async def _upload_image_to_feishu(self, image_data: bytes) -> str: + """ + Upload image to Feishu media library and get image_key. + """ + import time + + token = await self._get_tenant_access_token() + url = "https://open.feishu.cn/open-apis/im/v1/images" + + headers = {"Authorization": f"Bearer {token}"} + + # Use io.BytesIO properly + files = {"image": ("image.png", io.BytesIO(image_data), "image/png")} + data = {"image_type": "message"} + + logger.debug(f"Uploading image to {url} with image_data {image_data[:20]}...") + + async with httpx.AsyncClient(timeout=60.0) as client: + resp = await client.post(url, headers=headers, data=data, files=files) + logger.debug(f"Upload response status: {resp.status_code}") + logger.debug(f"Upload response content: {resp.text}") + resp.raise_for_status() + result = resp.json() + if result.get("code") != 0: + raise Exception(f"Failed to upload image: {result}") + return result["data"]["image_key"] + + async def _download_feishu_image(self, image_key: str, message_id: str | None = None) -> bytes: + """ + Download an image from Feishu using image_key. If message_id is provided, + uses GetMessageResourceRequest (for user-sent images), otherwise uses GetImageRequest. + """ + if not self._client: + raise Exception("Feishu client not initialized") + + if message_id: + # Use GetMessageResourceRequest for user-sent images + request: GetMessageResourceRequest = ( + GetMessageResourceRequest.builder() + .message_id(message_id) + .file_key(image_key) + .type("image") + .build() + ) + response = await self._client.im.v1.message_resource.aget(request) + else: + # Use GetImageRequest for bot-sent/images uploaded via API + request: GetImageRequest = GetImageRequest.builder().image_key(image_key).build() + response = await self._client.im.v1.image.aget(request) + + # Handle failed response + if not response.success(): + raise Exception( + f"Failed to download image: code={response.code}, msg={response.msg}, log_id={response.get_log_id()}" + ) + + # Read the image bytes from the response file + return response.file.read() + + async def _save_image_to_temp(self, image_bytes: bytes) -> str: + """ + Save image bytes to a temporary file and return the path. + """ + with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as f: + f.write(image_bytes) + temp_path = f.name + + logger.debug(f"Saved image to temp file: {temp_path}") + return temp_path + + async def start(self) -> None: + """Start the Feishu bot with WebSocket long connection.""" + if not FEISHU_AVAILABLE: + logger.exception("Feishu SDK not installed. Run: pip install lark-oapi") + return + + if not self.config.app_id or not self.config.app_secret: + logger.exception("Feishu app_id and app_secret not configured") + return + + self._running = True + self._loop = asyncio.get_running_loop() + + # Create Lark client for sending messages + self._client = ( + lark.Client.builder() + .app_id(self.config.app_id) + .app_secret(self.config.app_secret) + .log_level(lark.LogLevel.INFO) + .build() + ) + + # Create event handler (only register message receive, ignore other events) + event_handler = ( + lark.EventDispatcherHandler.builder( + self.config.encrypt_key or "", + self.config.verification_token or "", + ) + .register_p2_im_message_receive_v1(self._on_message_sync) + .build() + ) + + # Create WebSocket client for long connection + self._ws_client = lark.ws.Client( + self.config.app_id, + self.config.app_secret, + event_handler=event_handler, + log_level=lark.LogLevel.INFO, + ) + + # Start WebSocket client in a separate thread with reconnect loop + def run_ws(): + while self._running: + try: + self._ws_client.start() + except Exception as e: + logger.exception(f"Feishu WebSocket error: {e}") + if self._running: + import time + + time.sleep(5) + + self._ws_thread = threading.Thread(target=run_ws, daemon=True) + self._ws_thread.start() + + logger.info("Feishu bot started with WebSocket long connection") + logger.info("No public IP required - using WebSocket to receive events") + + # Keep running until stopped + while self._running: + await asyncio.sleep(1) + + async def stop(self) -> None: + """Stop the Feishu bot.""" + self._running = False + if self._ws_client: + try: + # Try to close the WebSocket connection gracefully + if hasattr(self._ws_client, "close"): + self._ws_client.close() + except Exception as e: + logger.debug(f"Error closing WebSocket client: {e}") + logger.info("Feishu bot stopped") + + def _add_reaction_sync(self, message_id: str, emoji_type: str) -> None: + """Sync helper for adding reaction (runs in thread pool).""" + try: + request = ( + CreateMessageReactionRequest.builder() + .message_id(message_id) + .request_body( + CreateMessageReactionRequestBody.builder() + .reaction_type(Emoji.builder().emoji_type(emoji_type).build()) + .build() + ) + .build() + ) + + response = self._client.im.v1.message_reaction.create(request) + + if not response.success(): + logger.warning(f"Failed to add reaction: code={response.code}, msg={response.msg}") + else: + logger.debug(f"Added {emoji_type} reaction to message {message_id}") + except Exception as e: + logger.warning(f"Error adding reaction: {e}") + + async def _add_reaction(self, message_id: str, emoji_type: str = "THUMBSUP") -> None: + """ + Add a reaction emoji to a message (non-blocking). + + Common emoji types: THUMBSUP, OK, EYES, DONE, OnIt, HEART + """ + if not self._client or not Emoji: + return + + loop = asyncio.get_running_loop() + await loop.run_in_executor(None, self._add_reaction_sync, message_id, emoji_type) + + # Regex to match markdown tables (header + separator + data rows) + _TABLE_RE = re.compile( + r"((?:^[ \t]*\|.+\|[ \t]*\n)(?:^[ \t]*\|[-:\s|]+\|[ \t]*\n)(?:^[ \t]*\|.+\|[ \t]*\n?)+)", + re.MULTILINE, + ) + + _HEADING_RE = re.compile(r"^(#{1,6})\s+(.+)$", re.MULTILINE) + + _CODE_BLOCK_RE = re.compile(r"(```[\s\S]*?```)", re.MULTILINE) + + @staticmethod + def _parse_md_table(table_text: str) -> dict | None: + """Parse a markdown table into a Feishu table element.""" + lines = [l.strip() for l in table_text.strip().split("\n") if l.strip()] + if len(lines) < 3: + return None + split = lambda l: [c.strip() for c in l.strip("|").split("|")] + headers = split(lines[0]) + rows = [split(l) for l in lines[2:]] + columns = [ + {"tag": "column", "name": f"c{i}", "display_name": h, "width": "auto"} + for i, h in enumerate(headers) + ] + return { + "tag": "table", + "page_size": len(rows) + 1, + "columns": columns, + "rows": [ + {f"c{i}": r[i] if i < len(r) else "" for i in range(len(headers))} for r in rows + ], + } + + def _build_card_elements(self, content: str) -> list[dict]: + """Split content into div/markdown + table elements for Feishu card.""" + elements, last_end = [], 0 + table_count = 0 + max_tables = 5 # Feishu card table limit + + for m in self._TABLE_RE.finditer(content): + before = content[last_end : m.start()] + if before.strip(): + elements.extend(self._split_headings(before)) + + if table_count < max_tables: + elements.append( + self._parse_md_table(m.group(1)) or {"tag": "markdown", "content": m.group(1)} + ) + table_count += 1 + else: + # Exceeded table limit, render as markdown instead + elements.append({"tag": "markdown", "content": m.group(1)}) + + last_end = m.end() + + remaining = content[last_end:] + if remaining.strip(): + elements.extend(self._split_headings(remaining)) + + return elements or [{"tag": "markdown", "content": content}] + + def _split_headings(self, content: str) -> list[dict]: + """Split content by headings, converting headings to div elements.""" + protected = content + code_blocks = [] + for m in self._CODE_BLOCK_RE.finditer(content): + code_blocks.append(m.group(1)) + protected = protected.replace(m.group(1), f"\x00CODE{len(code_blocks) - 1}\x00", 1) + + elements = [] + last_end = 0 + for m in self._HEADING_RE.finditer(protected): + before = protected[last_end : m.start()].strip() + if before: + elements.append({"tag": "markdown", "content": before}) + level = len(m.group(1)) + text = m.group(2).strip() + elements.append( + { + "tag": "div", + "text": { + "tag": "lark_md", + "content": f"**{text}**", + }, + } + ) + last_end = m.end() + remaining = protected[last_end:].strip() + if remaining: + elements.append({"tag": "markdown", "content": remaining}) + + for i, cb in enumerate(code_blocks): + for el in elements: + if el.get("tag") == "markdown": + el["content"] = el["content"].replace(f"\x00CODE{i}\x00", cb) + + return elements or [{"tag": "markdown", "content": content}] + + async def _process_content_with_images( + self, content: str, receive_id_type: str, chat_id: str + ) -> list[dict]: + """ + Process content, extract and upload Markdown images, return card elements. + + Returns: list of card elements (markdown + img elements) + """ + # Extract images from Markdown + images = [] + markdown_pattern = r"!\[([^\]]*)\]\((send://[^)\s]+\.(png|jpeg|jpg|gif|bmp|webp))\)" + # Find all images and upload them + for m in re.finditer(markdown_pattern, content): + alt_text = m.group(1) or "" + img_url = m.group(2) + try: + logger.debug(f"Processing Markdown image: {img_url[:100]}...") + is_content, result = await self._parse_data_uri(img_url) + + if not is_content and isinstance(result, bytes): + # It's an image - upload + image_key = await self._upload_image_to_feishu(result) + images.append({"alt": alt_text, "img_key": image_key}) + except Exception as e: + logger.exception(f"Failed to upload Markdown image {img_url[:100]}: {e}") + content = re.sub(markdown_pattern, "", content) + + # Pattern: ![alt](url) + send_pattern = r"(send://[^)\s]+\.(png|jpeg|jpg|gif|bmp|webp))\)?" + # Find all images and upload them + for m in re.finditer(send_pattern, content): + img_url = m.group(1) or "" + try: + logger.debug(f"Processing Markdown image: {img_url[:100]}...") + is_content, result = await self._parse_data_uri(img_url) + + if not is_content and isinstance(result, bytes): + # It's an image - upload + image_key = await self._upload_image_to_feishu(result) + images.append({"img_key": image_key}) + except Exception as e: + logger.exception(f"Failed to upload Markdown image {img_url[:100]}: {e}") + + # Remove all ![alt](url) from content + content_no_images = re.sub(send_pattern, "", content) + + elements = [] + if content_no_images.strip(): + elements = self._build_card_elements(content_no_images) + + # Add image elements + for img in images: + elements.append({"tag": "img", "img_key": img["img_key"]}) + + if not elements: + elements = [{"tag": "markdown", "content": content_no_images}] + + return elements + + async def send(self, msg: OutboundMessage) -> None: + """Send a message through Feishu.""" + + if not self._client: + logger.warning("Feishu client not initialized") + return + + try: + # Determine receive_id_type based on chat_id format + # open_id starts with "ou_", chat_id starts with "oc_" + if msg.session_key.chat_id.startswith("oc_"): + receive_id_type = "chat_id" + else: + receive_id_type = "open_id" + logger.info(f"[DEBUG] Feishu send() content: {msg.content[:300]}") + + # No images extracted from content, but content might still have Markdown images + elements = await self._process_content_with_images( + msg.content, receive_id_type, msg.session_key.chat_id + ) + card = { + "config": {"wide_screen_mode": True}, + "elements": elements, + } + content = json.dumps(card, ensure_ascii=False) + + request = ( + CreateMessageRequest.builder() + .receive_id_type(receive_id_type) + .request_body( + CreateMessageRequestBody.builder() + .receive_id(msg.session_key.chat_id) + .msg_type("interactive") + .content(content) + .build() + ) + .build() + ) + + response = self._client.im.v1.message.create(request) + + if not response.success(): + logger.exception( + f"Failed to send Feishu message: code={response.code}, " + f"msg={response.msg}, log_id={response.get_log_id()}" + ) + else: + logger.debug(f"Feishu message sent to {msg.session_key.chat_id}") + + except Exception as e: + logger.exception(f"Error sending Feishu message: {e}") + + def _on_message_sync(self, data: "P2ImMessageReceiveV1") -> None: + """ + Sync handler for incoming messages (called from WebSocket thread). + Schedules async handling in the main event loop. + """ + if self._loop and self._loop.is_running(): + asyncio.run_coroutine_threadsafe(self._on_message(data), self._loop) + + async def _on_message(self, data: "P2ImMessageReceiveV1") -> None: + """Handle incoming message from Feishu.""" + try: + event = data.event + message = event.message + sender = event.sender + + # Deduplication check + message_id = message.message_id + if message_id in self._processed_message_ids: + return + self._processed_message_ids[message_id] = None + + # Trim cache: keep most recent 500 when exceeds 1000 + while len(self._processed_message_ids) > 1000: + self._processed_message_ids.popitem(last=False) + + # Skip bot messages + sender_type = sender.sender_type + if sender_type == "bot": + return + + sender_id = sender.sender_id.open_id if sender.sender_id else "unknown" + chat_id = message.chat_id + chat_type = message.chat_type # "p2p" or "group" + msg_type = message.message_type + + # Add reaction to indicate "seen" + await self._add_reaction(message_id, "MeMeMe") + + # Parse message content and media + content = "" + media = [] + + # Log detailed message info for debugging + logger.info( + f"Received Feishu message: msg_type={msg_type}, content={message.content[:200]}" + ) + + if msg_type == "text": + try: + content = json.loads(message.content).get("text", "") + except json.JSONDecodeError: + content = message.content or "" + elif msg_type == "image" or msg_type == "post": + # Handle both image and post types + content = MSG_TYPE_MAP.get(msg_type, f"[{msg_type}]") + text_content = "" + try: + # Parse message content to get image_key + msg_content = json.loads(message.content) + image_keys = [] + + # Try to get image_key from different possible locations + if msg_type == "image": + image_key = msg_content.get("image_key") + if image_key: + image_keys.append(image_key) + elif msg_type == "post": + # For post messages, extract content and all images + # Post structure: {"title": "", "content": [[{"tag": "img", "image_key": "..."}], [{"tag": "text", "text": "..."}]]} + post_content = msg_content.get("content", []) + + # Extract all images by tag, regardless of position + for block in post_content: + for element in block: + if element.get("tag") == "img": + img_key = element.get("image_key") + if img_key: + image_keys.append(img_key) + + # Extract text content from the post + text_parts = [] + for block in post_content: + for element in block: + if element.get("tag") == "text": + text_parts.append(element.get("text", "")) + text_content = " ".join(text_parts).strip() + if text_content: + content = text_content + + # Process each image key + if image_keys: + for image_key in image_keys: + # Download image using the SDK client + logger.info( + f"Downloading Feishu image with image_key: {image_key}, message_id: {message_id}" + ) + image_bytes = await self._download_feishu_image(image_key, message_id) + if image_bytes: + # Save to workspace/media directory + from pathlib import Path + + media_dir = get_data_path() / "received" + + media_dir.mkdir(parents=True, exist_ok=True) + + import uuid + + file_path = media_dir / f"feishu_{uuid.uuid4().hex[:16]}.png" + file_path.write_bytes(image_bytes) + + media.append(str(file_path)) + logger.info(f"Feishu image saved to: {file_path}") + else: + logger.warning( + f"Could not download image for image_key: {image_key}" + ) + else: + logger.warning(f"No image_key found in message content: {msg_content}") + except Exception as e: + logger.warning(f"Failed to download Feishu image: {e}") + import traceback + + logger.debug(f"Stack trace: {traceback.format_exc()}") + else: + content = MSG_TYPE_MAP.get(msg_type, f"[{msg_type}]") + + if not content: + return + + # Forward to message bus + reply_to = chat_id if chat_type == "group" else sender_id + await self._handle_message( + sender_id=sender_id, + chat_id=reply_to, + content=content, + media=media if media else None, + metadata={ + "message_id": message_id, + "chat_type": chat_type, + "msg_type": msg_type, + }, + ) + + except Exception as e: + logger.exception(f"Error processing Feishu message") diff --git a/bot/vikingbot/channels/manager.py b/bot/vikingbot/channels/manager.py new file mode 100644 index 00000000..68e0c333 --- /dev/null +++ b/bot/vikingbot/channels/manager.py @@ -0,0 +1,220 @@ +"""Channel manager for coordinating chat channels.""" + +from __future__ import annotations + +import asyncio +from typing import Any + +from loguru import logger + +from vikingbot.bus.events import OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.channels.base import BaseChannel +from vikingbot.config.schema import Config, ChannelsConfig + + +class ChannelManager: + """ + Manages chat channels and coordinates message routing. + + Responsibilities: + - Initialize enabled channels (Telegram, WhatsApp, etc.) + - Start/stop channels + - Route outbound messages + """ + + def __init__(self, config: Config, bus: MessageBus): + self.config = config + self.bus = bus + self.channels: dict[str, BaseChannel] = {} + self._dispatch_task: asyncio.Task | None = None + + self._init_channels() + + def _init_channels(self) -> None: + """Initialize channels based on config.""" + from vikingbot.config.schema import ChannelType + + channels_config = self.config.channels_config + all_channel_configs = channels_config.get_all_channels() + workspace_path = self.config.workspace_path + + for channel_config in all_channel_configs: + if not channel_config.enabled: + continue + + try: + channel = None + if channel_config.type == ChannelType.TELEGRAM: + from vikingbot.channels.telegram import TelegramChannel + + channel = TelegramChannel( + channel_config, + self.bus, + groq_api_key=self.config.providers.groq.api_key, + ) + + elif channel_config.type == ChannelType.FEISHU: + from vikingbot.channels.feishu import FeishuChannel + + channel = FeishuChannel( + channel_config, + self.bus, + workspace_path=workspace_path, + ) + + elif channel_config.type == ChannelType.DISCORD: + from vikingbot.channels.discord import DiscordChannel + + channel = DiscordChannel( + channel_config, + self.bus, + workspace_path=workspace_path, + ) + + elif channel_config.type == ChannelType.WHATSAPP: + from vikingbot.channels.whatsapp import WhatsAppChannel + + channel = WhatsAppChannel( + channel_config, + self.bus, + workspace_path=workspace_path, + ) + + elif channel_config.type == ChannelType.MOCHAT: + from vikingbot.channels.mochat import MochatChannel + + channel = MochatChannel( + channel_config, + self.bus, + workspace_path=workspace_path, + ) + + elif channel_config.type == ChannelType.DINGTALK: + from vikingbot.channels.dingtalk import DingTalkChannel + + channel = DingTalkChannel( + channel_config, + self.bus, + workspace_path=workspace_path, + ) + + elif channel_config.type == ChannelType.EMAIL: + from vikingbot.channels.email import EmailChannel + + channel = EmailChannel( + channel_config, + self.bus, + workspace_path=workspace_path, + ) + + elif channel_config.type == ChannelType.SLACK: + from vikingbot.channels.slack import SlackChannel + + channel = SlackChannel( + channel_config, + self.bus, + workspace_path=workspace_path, + ) + + elif channel_config.type == ChannelType.QQ: + from vikingbot.channels.qq import QQChannel + + channel = QQChannel( + channel_config, + self.bus, + workspace_path=workspace_path, + ) + + if channel: + self.channels[channel.config.channel_key()] = channel + logger.info(f"Channel enabled: {channel.name}") + + except ImportError as e: + logger.warning(f"Channel {channel_config.type} not available: {e}") + + async def _start_channel(self, name: str, channel: BaseChannel) -> None: + """Start a channel and log any exceptions.""" + try: + await channel.start() + except Exception as e: + logger.exception(f"Failed to start channel {name}: {e}") + + async def start_all(self) -> None: + """Start all channels and the outbound dispatcher.""" + if not self.channels: + logger.warning("No channels enabled") + return + + # Start outbound dispatcher + self._dispatch_task = asyncio.create_task(self._dispatch_outbound()) + + # Start channels + tasks = [] + for name, channel in self.channels.items(): + logger.info(f"Starting {name} channel...") + tasks.append(asyncio.create_task(self._start_channel(name, channel))) + + # Wait for all to complete (they should run forever) + await asyncio.gather(*tasks, return_exceptions=True) + + async def stop_all(self) -> None: + """Stop all channels and the dispatcher.""" + logger.info("Stopping all channels...") + + # Stop dispatcher + if self._dispatch_task: + self._dispatch_task.cancel() + try: + await self._dispatch_task + except asyncio.CancelledError: + pass + + # Stop all channels + for name, channel in self.channels.items(): + try: + await channel.stop() + logger.info(f"Stopped {name} channel") + except Exception as e: + logger.exception(f"Error stopping {name}: {e}") + + async def _dispatch_outbound(self) -> None: + """Dispatch outbound messages to the appropriate channel.""" + logger.info("Outbound dispatcher started") + + while True: + try: + msg = await asyncio.wait_for(self.bus.consume_outbound(), timeout=1.0) + + # Try exact match first + channel = self.channels.get(msg.session_key.channel_key()) + if channel: + try: + await channel.send(msg) + except Exception as e: + logger.exception(f"Error sending to {msg.session_key}: {e}") + else: + logger.warning( + f"Unknown channel: {msg.session_key}. Available: {list(self.channels.keys())}" + ) + + except asyncio.TimeoutError: + continue + except asyncio.CancelledError: + break + + def get_channel(self, name: str) -> BaseChannel | None: + """Get a channel by name.""" + return self.channels.get(name) + + def get_status(self) -> dict[str, Any]: + """Get status of all channels.""" + return { + name: {"enabled": True, "running": channel.is_running} + for name, channel in self.channels.items() + } + + @property + def enabled_channels(self) -> list[str]: + """Get list of enabled channel names.""" + return list(self.channels.keys()) diff --git a/bot/vikingbot/channels/mochat.py b/bot/vikingbot/channels/mochat.py new file mode 100644 index 00000000..94800d80 --- /dev/null +++ b/bot/vikingbot/channels/mochat.py @@ -0,0 +1,1014 @@ +"""Mochat channel implementation using Socket.IO with HTTP polling fallback.""" + +from __future__ import annotations + +import asyncio +import json +from collections import deque +from dataclasses import dataclass, field +from datetime import datetime +from typing import Any + +import httpx +from loguru import logger + +from vikingbot.bus.events import OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.channels.base import BaseChannel +from vikingbot.config.schema import MochatChannelConfig +from vikingbot.utils.helpers import get_data_path + +try: + import socketio + + SOCKETIO_AVAILABLE = True +except ImportError: + socketio = None + SOCKETIO_AVAILABLE = False + +try: + import msgpack # noqa: F401 + + MSGPACK_AVAILABLE = True +except ImportError: + MSGPACK_AVAILABLE = False + +MAX_SEEN_MESSAGE_IDS = 2000 +CURSOR_SAVE_DEBOUNCE_S = 0.5 + + +# --------------------------------------------------------------------------- +# Data classes +# --------------------------------------------------------------------------- + + +@dataclass +class MochatBufferedEntry: + """Buffered inbound entry for delayed dispatch.""" + + raw_body: str + author: str + sender_name: str = "" + sender_username: str = "" + timestamp: int | None = None + message_id: str = "" + group_id: str = "" + + +@dataclass +class DelayState: + """Per-target delayed message state.""" + + entries: list[MochatBufferedEntry] = field(default_factory=list) + lock: asyncio.Lock = field(default_factory=asyncio.Lock) + timer: asyncio.Task | None = None + + +@dataclass +class MochatTarget: + """Outbound target resolution result.""" + + id: str + is_panel: bool + + +# --------------------------------------------------------------------------- +# Pure helpers +# --------------------------------------------------------------------------- + + +def _safe_dict(value: Any) -> dict: + """Return *value* if it's a dict, else empty dict.""" + return value if isinstance(value, dict) else {} + + +def _str_field(src: dict, *keys: str) -> str: + """Return the first non-empty str value found for *keys*, stripped.""" + for k in keys: + v = src.get(k) + if isinstance(v, str) and v.strip(): + return v.strip() + return "" + + +def _make_synthetic_event( + message_id: str, + author: str, + content: Any, + meta: Any, + group_id: str, + converse_id: str, + timestamp: Any = None, + *, + author_info: Any = None, +) -> dict[str, Any]: + """Build a synthetic ``message.add`` event dict.""" + payload: dict[str, Any] = { + "messageId": message_id, + "author": author, + "content": content, + "meta": _safe_dict(meta), + "groupId": group_id, + "converseId": converse_id, + } + if author_info is not None: + payload["authorInfo"] = _safe_dict(author_info) + return { + "type": "message.add", + "timestamp": timestamp or datetime.utcnow().isoformat(), + "payload": payload, + } + + +def normalize_mochat_content(content: Any) -> str: + """Normalize content payload to text.""" + if isinstance(content, str): + return content.strip() + if content is None: + return "" + try: + return json.dumps(content, ensure_ascii=False) + except TypeError: + return str(content) + + +def resolve_mochat_target(raw: str) -> MochatTarget: + """Resolve id and target kind from user-provided target string.""" + trimmed = (raw or "").strip() + if not trimmed: + return MochatTarget(id="", is_panel=False) + + lowered = trimmed.lower() + cleaned, forced_panel = trimmed, False + for prefix in ("mochat:", "group:", "channel:", "panel:"): + if lowered.startswith(prefix): + cleaned = trimmed[len(prefix) :].strip() + forced_panel = prefix in {"group:", "channel:", "panel:"} + break + + if not cleaned: + return MochatTarget(id="", is_panel=False) + return MochatTarget(id=cleaned, is_panel=forced_panel or not cleaned.startswith("session_")) + + +def extract_mention_ids(value: Any) -> list[str]: + """Extract mention ids from heterogeneous mention payload.""" + if not isinstance(value, list): + return [] + ids: list[str] = [] + for item in value: + if isinstance(item, str): + if item.strip(): + ids.append(item.strip()) + elif isinstance(item, dict): + for key in ("id", "userId", "_id"): + candidate = item.get(key) + if isinstance(candidate, str) and candidate.strip(): + ids.append(candidate.strip()) + break + return ids + + +def resolve_was_mentioned(payload: dict[str, Any], agent_user_id: str) -> bool: + """Resolve mention state from payload metadata and text fallback.""" + meta = payload.get("meta") + if isinstance(meta, dict): + if meta.get("mentioned") is True or meta.get("wasMentioned") is True: + return True + for f in ("mentions", "mentionIds", "mentionedUserIds", "mentionedUsers"): + if agent_user_id and agent_user_id in extract_mention_ids(meta.get(f)): + return True + if not agent_user_id: + return False + content = payload.get("content") + if not isinstance(content, str) or not content: + return False + return f"<@{agent_user_id}>" in content or f"@{agent_user_id}" in content + + +def resolve_require_mention(config: MochatConfig, session_id: str, group_id: str) -> bool: + """Resolve mention requirement for group/panel conversations.""" + groups = config.groups or {} + for key in (group_id, session_id, "*"): + if key and key in groups: + return bool(groups[key].require_mention) + return bool(config.mention.require_in_groups) + + +def build_buffered_body(entries: list[MochatBufferedEntry], is_group: bool) -> str: + """Build text body from one or more buffered entries.""" + if not entries: + return "" + if len(entries) == 1: + return entries[0].raw_body + lines: list[str] = [] + for entry in entries: + if not entry.raw_body: + continue + if is_group: + label = entry.sender_name.strip() or entry.sender_username.strip() or entry.author + if label: + lines.append(f"{label}: {entry.raw_body}") + continue + lines.append(entry.raw_body) + return "\n".join(lines).strip() + + +def parse_timestamp(value: Any) -> int | None: + """Parse event timestamp to epoch milliseconds.""" + if not isinstance(value, str) or not value.strip(): + return None + try: + return int(datetime.fromisoformat(value.replace("Z", "+00:00")).timestamp() * 1000) + except ValueError: + return None + + +# --------------------------------------------------------------------------- +# Channel +# --------------------------------------------------------------------------- + + +class MochatChannel(BaseChannel): + """Mochat channel using socket.io with fallback polling workers.""" + + name = "mochat" + + def __init__(self, config: MochatChannelConfig, bus: MessageBus, **kwargs): + super().__init__(config, bus, **kwargs) + self.config: MochatChannelConfig = config + self._http: httpx.AsyncClient | None = None + self._socket: Any = None + self._ws_connected = self._ws_ready = False + + self._state_dir = get_data_path() / "mochat" + self._cursor_path = self._state_dir / "session_cursors.json" + self._session_cursor: dict[str, int] = {} + self._cursor_save_task: asyncio.Task | None = None + + self._session_set: set[str] = set() + self._panel_set: set[str] = set() + self._auto_discover_sessions = self._auto_discover_panels = False + + self._cold_sessions: set[str] = set() + self._session_by_converse: dict[str, str] = {} + + self._seen_set: dict[str, set[str]] = {} + self._seen_queue: dict[str, deque[str]] = {} + self._delay_states: dict[str, DelayState] = {} + + self._fallback_mode = False + self._session_fallback_tasks: dict[str, asyncio.Task] = {} + self._panel_fallback_tasks: dict[str, asyncio.Task] = {} + self._refresh_task: asyncio.Task | None = None + self._target_locks: dict[str, asyncio.Lock] = {} + + # ---- lifecycle --------------------------------------------------------- + + async def start(self) -> None: + """Start Mochat channel workers and websocket connection.""" + if not self.config.claw_token: + logger.exception("Mochat claw_token not configured") + return + + self._running = True + self._http = httpx.AsyncClient(timeout=30.0) + self._state_dir.mkdir(parents=True, exist_ok=True) + await self._load_session_cursors() + self._seed_targets_from_config() + await self._refresh_targets(subscribe_new=False) + + if not await self._start_socket_client(): + await self._ensure_fallback_workers() + + self._refresh_task = asyncio.create_task(self._refresh_loop()) + while self._running: + await asyncio.sleep(1) + + async def stop(self) -> None: + """Stop all workers and clean up resources.""" + self._running = False + if self._refresh_task: + self._refresh_task.cancel() + self._refresh_task = None + + await self._stop_fallback_workers() + await self._cancel_delay_timers() + + if self._socket: + try: + await self._socket.disconnect() + except Exception: + pass + self._socket = None + + if self._cursor_save_task: + self._cursor_save_task.cancel() + self._cursor_save_task = None + await self._save_session_cursors() + + if self._http: + await self._http.aclose() + self._http = None + self._ws_connected = self._ws_ready = False + + async def send(self, msg: OutboundMessage) -> None: + """Send outbound message to session or panel.""" + if not self.config.claw_token: + logger.warning("Mochat claw_token missing, skip send") + return + + parts = [msg.content.strip()] if msg.content and msg.content.strip() else [] + if msg.media: + parts.extend(m for m in msg.media if isinstance(m, str) and m.strip()) + content = "\n".join(parts).strip() + if not content: + return + + target = resolve_mochat_target(msg.session_key.chat_id) + if not target.id: + logger.warning("Mochat outbound target is empty") + return + + is_panel = (target.is_panel or target.id in self._panel_set) and not target.id.startswith( + "session_" + ) + try: + if is_panel: + await self._api_send( + "/api/claw/groups/panels/send", + "panelId", + target.id, + content, + msg.reply_to, + self._read_group_id(msg.metadata), + ) + else: + await self._api_send( + "/api/claw/sessions/send", "sessionId", target.id, content, msg.reply_to + ) + except Exception as e: + logger.exception(f"Failed to send Mochat message: {e}") + + # ---- config / init helpers --------------------------------------------- + + def _seed_targets_from_config(self) -> None: + sessions, self._auto_discover_sessions = self._normalize_id_list(self.config.sessions) + panels, self._auto_discover_panels = self._normalize_id_list(self.config.panels) + self._session_set.update(sessions) + self._panel_set.update(panels) + for sid in sessions: + if sid not in self._session_cursor: + self._cold_sessions.add(sid) + + @staticmethod + def _normalize_id_list(values: list[str]) -> tuple[list[str], bool]: + cleaned = [str(v).strip() for v in values if str(v).strip()] + return sorted({v for v in cleaned if v != "*"}), "*" in cleaned + + # ---- websocket --------------------------------------------------------- + + async def _start_socket_client(self) -> bool: + if not SOCKETIO_AVAILABLE: + logger.warning("python-socketio not installed, Mochat using polling fallback") + return False + + serializer = "default" + if not self.config.socket_disable_msgpack: + if MSGPACK_AVAILABLE: + serializer = "msgpack" + else: + logger.warning("msgpack not installed but socket_disable_msgpack=false; using JSON") + + client = socketio.AsyncClient( + reconnection=True, + reconnection_attempts=self.config.max_retry_attempts or None, + reconnection_delay=max(0.1, self.config.socket_reconnect_delay_ms / 1000.0), + reconnection_delay_max=max(0.1, self.config.socket_max_reconnect_delay_ms / 1000.0), + logger=False, + engineio_logger=False, + serializer=serializer, + ) + + @client.event + async def connect() -> None: + self._ws_connected, self._ws_ready = True, False + logger.info("Mochat websocket connected") + subscribed = await self._subscribe_all() + self._ws_ready = subscribed + await (self._stop_fallback_workers() if subscribed else self._ensure_fallback_workers()) + + @client.event + async def disconnect() -> None: + if not self._running: + return + self._ws_connected = self._ws_ready = False + logger.warning("Mochat websocket disconnected") + await self._ensure_fallback_workers() + + @client.event + async def connect_error(data: Any) -> None: + logger.exception(f"Mochat websocket connect error: {data}") + + @client.on("claw.session.events") + async def on_session_events(payload: dict[str, Any]) -> None: + await self._handle_watch_payload(payload, "session") + + @client.on("claw.panel.events") + async def on_panel_events(payload: dict[str, Any]) -> None: + await self._handle_watch_payload(payload, "panel") + + for ev in ( + "notify:chat.inbox.append", + "notify:chat.message.add", + "notify:chat.message.update", + "notify:chat.message.recall", + "notify:chat.message.delete", + ): + client.on(ev, self._build_notify_handler(ev)) + + socket_url = (self.config.socket_url or self.config.base_url).strip().rstrip("/") + socket_path = (self.config.socket_path or "/socket.io").strip().lstrip("/") + + try: + self._socket = client + await client.connect( + socket_url, + transports=["websocket"], + socketio_path=socket_path, + auth={"token": self.config.claw_token}, + wait_timeout=max(1.0, self.config.socket_connect_timeout_ms / 1000.0), + ) + return True + except Exception as e: + logger.exception(f"Failed to connect Mochat websocket: {e}") + try: + await client.disconnect() + except Exception: + pass + self._socket = None + return False + + def _build_notify_handler(self, event_name: str): + async def handler(payload: Any) -> None: + if event_name == "notify:chat.inbox.append": + await self._handle_notify_inbox_append(payload) + elif event_name.startswith("notify:chat.message."): + await self._handle_notify_chat_message(payload) + + return handler + + # ---- subscribe --------------------------------------------------------- + + async def _subscribe_all(self) -> bool: + ok = await self._subscribe_sessions(sorted(self._session_set)) + ok = await self._subscribe_panels(sorted(self._panel_set)) and ok + if self._auto_discover_sessions or self._auto_discover_panels: + await self._refresh_targets(subscribe_new=True) + return ok + + async def _subscribe_sessions(self, session_ids: list[str]) -> bool: + if not session_ids: + return True + for sid in session_ids: + if sid not in self._session_cursor: + self._cold_sessions.add(sid) + + ack = await self._socket_call( + "com.claw.im.subscribeSessions", + { + "sessionIds": session_ids, + "cursors": self._session_cursor, + "limit": self.config.watch_limit, + }, + ) + if not ack.get("result"): + logger.exception( + f"Mochat subscribeSessions failed: {ack.get('message', 'unknown error')}" + ) + return False + + data = ack.get("data") + items: list[dict[str, Any]] = [] + if isinstance(data, list): + items = [i for i in data if isinstance(i, dict)] + elif isinstance(data, dict): + sessions = data.get("sessions") + if isinstance(sessions, list): + items = [i for i in sessions if isinstance(i, dict)] + elif "sessionId" in data: + items = [data] + for p in items: + await self._handle_watch_payload(p, "session") + return True + + async def _subscribe_panels(self, panel_ids: list[str]) -> bool: + if not self._auto_discover_panels and not panel_ids: + return True + ack = await self._socket_call("com.claw.im.subscribePanels", {"panelIds": panel_ids}) + if not ack.get("result"): + logger.exception( + f"Mochat subscribePanels failed: {ack.get('message', 'unknown error')}" + ) + return False + return True + + async def _socket_call(self, event_name: str, payload: dict[str, Any]) -> dict[str, Any]: + if not self._socket: + return {"result": False, "message": "socket not connected"} + try: + raw = await self._socket.call(event_name, payload, timeout=10) + except Exception as e: + return {"result": False, "message": str(e)} + return raw if isinstance(raw, dict) else {"result": True, "data": raw} + + # ---- refresh / discovery ----------------------------------------------- + + async def _refresh_loop(self) -> None: + interval_s = max(1.0, self.config.refresh_interval_ms / 1000.0) + while self._running: + await asyncio.sleep(interval_s) + try: + await self._refresh_targets(subscribe_new=self._ws_ready) + except Exception as e: + logger.warning(f"Mochat refresh failed: {e}") + if self._fallback_mode: + await self._ensure_fallback_workers() + + async def _refresh_targets(self, subscribe_new: bool) -> None: + if self._auto_discover_sessions: + await self._refresh_sessions_directory(subscribe_new) + if self._auto_discover_panels: + await self._refresh_panels(subscribe_new) + + async def _refresh_sessions_directory(self, subscribe_new: bool) -> None: + try: + response = await self._post_json("/api/claw/sessions/list", {}) + except Exception as e: + logger.warning(f"Mochat listSessions failed: {e}") + return + + sessions = response.get("sessions") + if not isinstance(sessions, list): + return + + new_ids: list[str] = [] + for s in sessions: + if not isinstance(s, dict): + continue + sid = _str_field(s, "sessionId") + if not sid: + continue + if sid not in self._session_set: + self._session_set.add(sid) + new_ids.append(sid) + if sid not in self._session_cursor: + self._cold_sessions.add(sid) + cid = _str_field(s, "converseId") + if cid: + self._session_by_converse[cid] = sid + + if not new_ids: + return + if self._ws_ready and subscribe_new: + await self._subscribe_sessions(new_ids) + if self._fallback_mode: + await self._ensure_fallback_workers() + + async def _refresh_panels(self, subscribe_new: bool) -> None: + try: + response = await self._post_json("/api/claw/groups/get", {}) + except Exception as e: + logger.warning(f"Mochat getWorkspaceGroup failed: {e}") + return + + raw_panels = response.get("panels") + if not isinstance(raw_panels, list): + return + + new_ids: list[str] = [] + for p in raw_panels: + if not isinstance(p, dict): + continue + pt = p.get("type") + if isinstance(pt, int) and pt != 0: + continue + pid = _str_field(p, "id", "_id") + if pid and pid not in self._panel_set: + self._panel_set.add(pid) + new_ids.append(pid) + + if not new_ids: + return + if self._ws_ready and subscribe_new: + await self._subscribe_panels(new_ids) + if self._fallback_mode: + await self._ensure_fallback_workers() + + # ---- fallback workers -------------------------------------------------- + + async def _ensure_fallback_workers(self) -> None: + if not self._running: + return + self._fallback_mode = True + for sid in sorted(self._session_set): + t = self._session_fallback_tasks.get(sid) + if not t or t.done(): + self._session_fallback_tasks[sid] = asyncio.create_task( + self._session_watch_worker(sid) + ) + for pid in sorted(self._panel_set): + t = self._panel_fallback_tasks.get(pid) + if not t or t.done(): + self._panel_fallback_tasks[pid] = asyncio.create_task(self._panel_poll_worker(pid)) + + async def _stop_fallback_workers(self) -> None: + self._fallback_mode = False + tasks = [*self._session_fallback_tasks.values(), *self._panel_fallback_tasks.values()] + for t in tasks: + t.cancel() + if tasks: + await asyncio.gather(*tasks, return_exceptions=True) + self._session_fallback_tasks.clear() + self._panel_fallback_tasks.clear() + + async def _session_watch_worker(self, session_id: str) -> None: + while self._running and self._fallback_mode: + try: + payload = await self._post_json( + "/api/claw/sessions/watch", + { + "sessionId": session_id, + "cursor": self._session_cursor.get(session_id, 0), + "timeoutMs": self.config.watch_timeout_ms, + "limit": self.config.watch_limit, + }, + ) + await self._handle_watch_payload(payload, "session") + except asyncio.CancelledError: + break + except Exception as e: + logger.warning(f"Mochat watch fallback error ({session_id}): {e}") + await asyncio.sleep(max(0.1, self.config.retry_delay_ms / 1000.0)) + + async def _panel_poll_worker(self, panel_id: str) -> None: + sleep_s = max(1.0, self.config.refresh_interval_ms / 1000.0) + while self._running and self._fallback_mode: + try: + resp = await self._post_json( + "/api/claw/groups/panels/messages", + { + "panelId": panel_id, + "limit": min(100, max(1, self.config.watch_limit)), + }, + ) + msgs = resp.get("messages") + if isinstance(msgs, list): + for m in reversed(msgs): + if not isinstance(m, dict): + continue + evt = _make_synthetic_event( + message_id=str(m.get("messageId") or ""), + author=str(m.get("author") or ""), + content=m.get("content"), + meta=m.get("meta"), + group_id=str(resp.get("groupId") or ""), + converse_id=panel_id, + timestamp=m.get("createdAt"), + author_info=m.get("authorInfo"), + ) + await self._process_inbound_event(panel_id, evt, "panel") + except asyncio.CancelledError: + break + except Exception as e: + logger.warning(f"Mochat panel polling error ({panel_id}): {e}") + await asyncio.sleep(sleep_s) + + # ---- inbound event processing ------------------------------------------ + + async def _handle_watch_payload(self, payload: dict[str, Any], target_kind: str) -> None: + if not isinstance(payload, dict): + return + target_id = _str_field(payload, "sessionId") + if not target_id: + return + + lock = self._target_locks.setdefault(f"{target_kind}:{target_id}", asyncio.Lock()) + async with lock: + prev = self._session_cursor.get(target_id, 0) if target_kind == "session" else 0 + pc = payload.get("cursor") + if target_kind == "session" and isinstance(pc, int) and pc >= 0: + self._mark_session_cursor(target_id, pc) + + raw_events = payload.get("events") + if not isinstance(raw_events, list): + return + if target_kind == "session" and target_id in self._cold_sessions: + self._cold_sessions.discard(target_id) + return + + for event in raw_events: + if not isinstance(event, dict): + continue + seq = event.get("seq") + if ( + target_kind == "session" + and isinstance(seq, int) + and seq > self._session_cursor.get(target_id, prev) + ): + self._mark_session_cursor(target_id, seq) + if event.get("type") == "message.add": + await self._process_inbound_event(target_id, event, target_kind) + + async def _process_inbound_event( + self, target_id: str, event: dict[str, Any], target_kind: str + ) -> None: + payload = event.get("payload") + if not isinstance(payload, dict): + return + + author = _str_field(payload, "author") + if not author or (self.config.agent_user_id and author == self.config.agent_user_id): + return + if not self.is_allowed(author): + return + + message_id = _str_field(payload, "messageId") + seen_key = f"{target_kind}:{target_id}" + if message_id and self._remember_message_id(seen_key, message_id): + return + + raw_body = normalize_mochat_content(payload.get("content")) or "[empty message]" + ai = _safe_dict(payload.get("authorInfo")) + sender_name = _str_field(ai, "nickname", "email") + sender_username = _str_field(ai, "agentId") + + group_id = _str_field(payload, "groupId") + is_group = bool(group_id) + was_mentioned = resolve_was_mentioned(payload, self.config.agent_user_id) + require_mention = ( + target_kind == "panel" + and is_group + and resolve_require_mention(self.config, target_id, group_id) + ) + use_delay = target_kind == "panel" and self.config.reply_delay_mode == "non-mention" + + if require_mention and not was_mentioned and not use_delay: + return + + entry = MochatBufferedEntry( + raw_body=raw_body, + author=author, + sender_name=sender_name, + sender_username=sender_username, + timestamp=parse_timestamp(event.get("timestamp")), + message_id=message_id, + group_id=group_id, + ) + + if use_delay: + delay_key = seen_key + if was_mentioned: + await self._flush_delayed_entries( + delay_key, target_id, target_kind, "mention", entry + ) + else: + await self._enqueue_delayed_entry(delay_key, target_id, target_kind, entry) + return + + await self._dispatch_entries(target_id, target_kind, [entry], was_mentioned) + + # ---- dedup / buffering ------------------------------------------------- + + def _remember_message_id(self, key: str, message_id: str) -> bool: + seen_set = self._seen_set.setdefault(key, set()) + seen_queue = self._seen_queue.setdefault(key, deque()) + if message_id in seen_set: + return True + seen_set.add(message_id) + seen_queue.append(message_id) + while len(seen_queue) > MAX_SEEN_MESSAGE_IDS: + seen_set.discard(seen_queue.popleft()) + return False + + async def _enqueue_delayed_entry( + self, key: str, target_id: str, target_kind: str, entry: MochatBufferedEntry + ) -> None: + state = self._delay_states.setdefault(key, DelayState()) + async with state.lock: + state.entries.append(entry) + if state.timer: + state.timer.cancel() + state.timer = asyncio.create_task(self._delay_flush_after(key, target_id, target_kind)) + + async def _delay_flush_after(self, key: str, target_id: str, target_kind: str) -> None: + await asyncio.sleep(max(0, self.config.reply_delay_ms) / 1000.0) + await self._flush_delayed_entries(key, target_id, target_kind, "timer", None) + + async def _flush_delayed_entries( + self, + key: str, + target_id: str, + target_kind: str, + reason: str, + entry: MochatBufferedEntry | None, + ) -> None: + state = self._delay_states.setdefault(key, DelayState()) + async with state.lock: + if entry: + state.entries.append(entry) + current = asyncio.current_task() + if state.timer and state.timer is not current: + state.timer.cancel() + state.timer = None + entries = state.entries[:] + state.entries.clear() + if entries: + await self._dispatch_entries(target_id, target_kind, entries, reason == "mention") + + async def _dispatch_entries( + self, + target_id: str, + target_kind: str, + entries: list[MochatBufferedEntry], + was_mentioned: bool, + ) -> None: + if not entries: + return + last = entries[-1] + is_group = bool(last.group_id) + body = build_buffered_body(entries, is_group) or "[empty message]" + await self._handle_message( + sender_id=last.author, + chat_id=target_id, + content=body, + metadata={ + "message_id": last.message_id, + "timestamp": last.timestamp, + "is_group": is_group, + "group_id": last.group_id, + "sender_name": last.sender_name, + "sender_username": last.sender_username, + "target_kind": target_kind, + "was_mentioned": was_mentioned, + "buffered_count": len(entries), + }, + ) + + async def _cancel_delay_timers(self) -> None: + for state in self._delay_states.values(): + if state.timer: + state.timer.cancel() + self._delay_states.clear() + + # ---- notify handlers --------------------------------------------------- + + async def _handle_notify_chat_message(self, payload: Any) -> None: + if not isinstance(payload, dict): + return + group_id = _str_field(payload, "groupId") + panel_id = _str_field(payload, "converseId", "panelId") + if not group_id or not panel_id: + return + if self._panel_set and panel_id not in self._panel_set: + return + + evt = _make_synthetic_event( + message_id=str(payload.get("_id") or payload.get("messageId") or ""), + author=str(payload.get("author") or ""), + content=payload.get("content"), + meta=payload.get("meta"), + group_id=group_id, + converse_id=panel_id, + timestamp=payload.get("createdAt"), + author_info=payload.get("authorInfo"), + ) + await self._process_inbound_event(panel_id, evt, "panel") + + async def _handle_notify_inbox_append(self, payload: Any) -> None: + if not isinstance(payload, dict) or payload.get("type") != "message": + return + detail = payload.get("payload") + if not isinstance(detail, dict): + return + if _str_field(detail, "groupId"): + return + converse_id = _str_field(detail, "converseId") + if not converse_id: + return + + session_id = self._session_by_converse.get(converse_id) + if not session_id: + await self._refresh_sessions_directory(self._ws_ready) + session_id = self._session_by_converse.get(converse_id) + if not session_id: + return + + evt = _make_synthetic_event( + message_id=str(detail.get("messageId") or payload.get("_id") or ""), + author=str(detail.get("messageAuthor") or ""), + content=str(detail.get("messagePlainContent") or detail.get("messageSnippet") or ""), + meta={"source": "notify:chat.inbox.append", "converseId": converse_id}, + group_id="", + converse_id=converse_id, + timestamp=payload.get("createdAt"), + ) + await self._process_inbound_event(session_id, evt, "session") + + # ---- cursor persistence ------------------------------------------------ + + def _mark_session_cursor(self, session_id: str, cursor: int) -> None: + if cursor < 0 or cursor < self._session_cursor.get(session_id, 0): + return + self._session_cursor[session_id] = cursor + if not self._cursor_save_task or self._cursor_save_task.done(): + self._cursor_save_task = asyncio.create_task(self._save_cursor_debounced()) + + async def _save_cursor_debounced(self) -> None: + await asyncio.sleep(CURSOR_SAVE_DEBOUNCE_S) + await self._save_session_cursors() + + async def _load_session_cursors(self) -> None: + if not self._cursor_path.exists(): + return + try: + data = json.loads(self._cursor_path.read_text("utf-8")) + except Exception as e: + logger.warning(f"Failed to read Mochat cursor file: {e}") + return + cursors = data.get("cursors") if isinstance(data, dict) else None + if isinstance(cursors, dict): + for sid, cur in cursors.items(): + if isinstance(sid, str) and isinstance(cur, int) and cur >= 0: + self._session_cursor[sid] = cur + + async def _save_session_cursors(self) -> None: + try: + self._state_dir.mkdir(parents=True, exist_ok=True) + self._cursor_path.write_text( + json.dumps( + { + "schemaVersion": 1, + "updatedAt": datetime.utcnow().isoformat(), + "cursors": self._session_cursor, + }, + ensure_ascii=False, + indent=2, + ) + + "\n", + "utf-8", + ) + except Exception as e: + logger.warning(f"Failed to save Mochat cursor file: {e}") + + # ---- HTTP helpers ------------------------------------------------------ + + async def _post_json(self, path: str, payload: dict[str, Any]) -> dict[str, Any]: + if not self._http: + raise RuntimeError("Mochat HTTP client not initialized") + url = f"{self.config.base_url.strip().rstrip('/')}{path}" + response = await self._http.post( + url, + headers={ + "Content-Type": "application/json", + "X-Claw-Token": self.config.claw_token, + }, + json=payload, + ) + if not response.is_success: + raise RuntimeError(f"Mochat HTTP {response.status_code}: {response.text[:200]}") + try: + parsed = response.json() + except Exception: + parsed = response.text + if isinstance(parsed, dict) and isinstance(parsed.get("code"), int): + if parsed["code"] != 200: + msg = str(parsed.get("message") or parsed.get("name") or "request failed") + raise RuntimeError(f"Mochat API error: {msg} (code={parsed['code']})") + data = parsed.get("data") + return data if isinstance(data, dict) else {} + return parsed if isinstance(parsed, dict) else {} + + async def _api_send( + self, + path: str, + id_key: str, + id_val: str, + content: str, + reply_to: str | None, + group_id: str | None = None, + ) -> dict[str, Any]: + """Unified send helper for session and panel messages.""" + body: dict[str, Any] = {id_key: id_val, "content": content} + if reply_to: + body["replyTo"] = reply_to + if group_id: + body["groupId"] = group_id + return await self._post_json(path, body) + + @staticmethod + def _read_group_id(metadata: dict[str, Any]) -> str | None: + if not isinstance(metadata, dict): + return None + value = metadata.get("group_id") or metadata.get("groupId") + return value.strip() if isinstance(value, str) and value.strip() else None diff --git a/bot/vikingbot/channels/qq.py b/bot/vikingbot/channels/qq.py new file mode 100644 index 00000000..237b4fbc --- /dev/null +++ b/bot/vikingbot/channels/qq.py @@ -0,0 +1,134 @@ +"""QQ channel implementation using botpy SDK.""" + +import asyncio +from collections import deque +from typing import TYPE_CHECKING + +from loguru import logger + +from vikingbot.bus.events import OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.channels.base import BaseChannel +from vikingbot.config.schema import QQChannelConfig + +try: + import botpy + from botpy.message import C2CMessage + + QQ_AVAILABLE = True +except ImportError: + QQ_AVAILABLE = False + botpy = None + C2CMessage = None + + +from botpy.message import C2CMessage + + +def _make_bot_class(channel: "QQChannel") -> "type[botpy.Client]": + """Create a botpy Client subclass bound to the given channel.""" + intents = botpy.Intents(public_messages=True, direct_message=True) + + class _Bot(botpy.Client): + def __init__(self): + super().__init__(intents=intents) + + async def on_ready(self): + logger.info(f"QQ bot ready: {self.robot.name}") + + async def on_c2c_message_create(self, message: "C2CMessage"): + await channel._on_message(message) + + async def on_direct_message_create(self, message): + await channel._on_message(message) + + return _Bot + + +class QQChannel(BaseChannel): + """QQ channel using botpy SDK with WebSocket connection.""" + + name = "qq" + + def __init__(self, config: QQChannelConfig, bus: MessageBus, **kwargs): + super().__init__(config, bus, **kwargs) + self.config: QQChannelConfig = config + self._client: "botpy.Client | None" = None + self._processed_ids: deque = deque(maxlen=1000) + self._bot_task: asyncio.Task | None = None + + async def start(self) -> None: + """Start the QQ bot.""" + if not QQ_AVAILABLE: + logger.exception("QQ SDK not installed. Run: pip install qq-botpy") + return + + if not self.config.app_id or not self.config.secret: + logger.exception("QQ app_id and secret not configured") + return + + self._running = True + BotClass = _make_bot_class(self) + self._client = BotClass() + + self._bot_task = asyncio.create_task(self._run_bot()) + logger.info("QQ bot started (C2C private message)") + + async def _run_bot(self) -> None: + """Run the bot connection with auto-reconnect.""" + while self._running: + try: + await self._client.start(appid=self.config.app_id, secret=self.config.secret) + except Exception as e: + logger.warning(f"QQ bot error: {e}") + if self._running: + logger.info("Reconnecting QQ bot in 5 seconds...") + await asyncio.sleep(5) + + async def stop(self) -> None: + """Stop the QQ bot.""" + self._running = False + if self._bot_task: + self._bot_task.cancel() + try: + await self._bot_task + except asyncio.CancelledError: + pass + logger.info("QQ bot stopped") + + async def send(self, msg: OutboundMessage) -> None: + """Send a message through QQ.""" + if not self._client: + logger.warning("QQ client not initialized") + return + try: + await self._client.api.post_c2c_message( + openid=msg.session_key.chat_id, + msg_type=0, + content=msg.content, + ) + except Exception as e: + logger.exception(f"Error sending QQ message: {e}") + + async def _on_message(self, data: "C2CMessage") -> None: + """Handle incoming message from QQ.""" + try: + # Dedup by message ID + if data.id in self._processed_ids: + return + self._processed_ids.append(data.id) + + author = data.author + user_id = str(getattr(author, "id", None) or getattr(author, "user_openid", "unknown")) + content = (data.content or "").strip() + if not content: + return + + await self._handle_message( + sender_id=user_id, + chat_id=user_id, + content=content, + metadata={"message_id": data.id}, + ) + except Exception as e: + logger.exception(f"Error handling QQ message: {e}") diff --git a/bot/vikingbot/channels/slack.py b/bot/vikingbot/channels/slack.py new file mode 100644 index 00000000..42fc07b5 --- /dev/null +++ b/bot/vikingbot/channels/slack.py @@ -0,0 +1,204 @@ +"""Slack channel implementation using Socket Mode.""" + +import asyncio +import re +from typing import Any + +from loguru import logger +from slack_sdk.socket_mode.websockets import SocketModeClient +from slack_sdk.socket_mode.request import SocketModeRequest +from slack_sdk.socket_mode.response import SocketModeResponse +from slack_sdk.web.async_client import AsyncWebClient + +from vikingbot.bus.events import OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.channels.base import BaseChannel +from vikingbot.config.schema import SlackChannelConfig +from vikingbot.channels.utils import extract_image_paths, read_image_file + + +class SlackChannel(BaseChannel): + """Slack channel using Socket Mode.""" + + name = "slack" + + def __init__(self, config: SlackChannelConfig, bus: MessageBus, **kwargs): + super().__init__(config, bus, **kwargs) + self.config: SlackChannelConfig = config + self._web_client: AsyncWebClient | None = None + self._socket_client: SocketModeClient | None = None + self._bot_user_id: str | None = None + + async def start(self) -> None: + """Start the Slack Socket Mode client.""" + if not self.config.bot_token or not self.config.app_token: + logger.exception("Slack bot/app token not configured") + return + if self.config.mode != "socket": + logger.exception(f"Unsupported Slack mode: {self.config.mode}") + return + + self._running = True + + self._web_client = AsyncWebClient(token=self.config.bot_token) + self._socket_client = SocketModeClient( + app_token=self.config.app_token, + web_client=self._web_client, + ) + + self._socket_client.socket_mode_request_listeners.append(self._on_socket_request) + + # Resolve bot user ID for mention handling + try: + auth = await self._web_client.auth_test() + self._bot_user_id = auth.get("user_id") + logger.info(f"Slack bot connected as {self._bot_user_id}") + except Exception as e: + logger.warning(f"Slack auth_test failed: {e}") + + logger.info("Starting Slack Socket Mode client...") + await self._socket_client.connect() + + while self._running: + await asyncio.sleep(1) + + async def stop(self) -> None: + """Stop the Slack client.""" + self._running = False + if self._socket_client: + try: + await self._socket_client.close() + except Exception as e: + logger.warning(f"Slack socket close failed: {e}") + self._socket_client = None + + async def send(self, msg: OutboundMessage) -> None: + """Send a message through Slack.""" + if not self._web_client: + logger.warning("Slack client not running") + return + try: + slack_meta = msg.metadata.get("slack", {}) if msg.metadata else {} + thread_ts = slack_meta.get("thread_ts") + channel_type = slack_meta.get("channel_type") + # Only reply in thread for channel/group messages; DMs don't use threads + use_thread = thread_ts and channel_type != "im" + await self._web_client.chat_postMessage( + channel=msg.session_key.chat_id, + text=msg.content or "", + thread_ts=thread_ts if use_thread else None, + ) + except Exception as e: + logger.exception(f"Error sending Slack message: {e}") + + async def _on_socket_request( + self, + client: SocketModeClient, + req: SocketModeRequest, + ) -> None: + """Handle incoming Socket Mode requests.""" + if req.type != "events_api": + return + + # Acknowledge right away + await client.send_socket_mode_response(SocketModeResponse(envelope_id=req.envelope_id)) + + payload = req.payload or {} + event = payload.get("event") or {} + event_type = event.get("type") + + # Handle app mentions or plain messages + if event_type not in ("message", "app_mention"): + return + + sender_id = event.get("user") + chat_id = event.get("channel") + + # Ignore bot/system messages (any subtype = not a normal user message) + if event.get("subtype"): + return + if self._bot_user_id and sender_id == self._bot_user_id: + return + + # Avoid double-processing: Slack sends both `message` and `app_mention` + # for mentions in channels. Prefer `app_mention`. + text = event.get("text") or "" + if event_type == "message" and self._bot_user_id and f"<@{self._bot_user_id}>" in text: + return + + # Debug: log basic event shape + logger.debug( + "Slack event: type={} subtype={} user={} channel={} channel_type={} text={}", + event_type, + event.get("subtype"), + sender_id, + chat_id, + event.get("channel_type"), + text[:80], + ) + if not sender_id or not chat_id: + return + + channel_type = event.get("channel_type") or "" + + if not self._is_allowed(sender_id, chat_id, channel_type): + return + + if channel_type != "im" and not self._should_respond_in_channel(event_type, text, chat_id): + return + + text = self._strip_bot_mention(text) + + thread_ts = event.get("thread_ts") or event.get("ts") + # Add :eyes: reaction to the triggering message (best-effort) + try: + if self._web_client and event.get("ts"): + await self._web_client.reactions_add( + channel=chat_id, + name="eyes", + timestamp=event.get("ts"), + ) + except Exception as e: + logger.debug(f"Slack reactions_add failed: {e}") + + await self._handle_message( + sender_id=sender_id, + chat_id=chat_id, + content=text, + metadata={ + "slack": { + "event": event, + "thread_ts": thread_ts, + "channel_type": channel_type, + } + }, + ) + + def _is_allowed(self, sender_id: str, chat_id: str, channel_type: str) -> bool: + if channel_type == "im": + if not self.config.dm.enabled: + return False + if self.config.dm.policy == "allowlist": + return sender_id in self.config.dm.allow_from + return True + + # Group / channel messages + if self.config.group_policy == "allowlist": + return chat_id in self.config.group_allow_from + return True + + def _should_respond_in_channel(self, event_type: str, text: str, chat_id: str) -> bool: + if self.config.group_policy == "open": + return True + if self.config.group_policy == "mention": + if event_type == "app_mention": + return True + return self._bot_user_id is not None and f"<@{self._bot_user_id}>" in text + if self.config.group_policy == "allowlist": + return chat_id in self.config.group_allow_from + return False + + def _strip_bot_mention(self, text: str) -> str: + if not text or not self._bot_user_id: + return text + return re.sub(rf"<@{re.escape(self._bot_user_id)}>\s*", "", text).strip() diff --git a/bot/vikingbot/channels/telegram.py b/bot/vikingbot/channels/telegram.py new file mode 100644 index 00000000..ef831862 --- /dev/null +++ b/bot/vikingbot/channels/telegram.py @@ -0,0 +1,414 @@ +"""Telegram channel implementation using python-telegram-bot.""" + +from __future__ import annotations + +import asyncio +import re +from loguru import logger +from telegram import BotCommand, Update +from telegram.ext import Application, CommandHandler, MessageHandler, filters, ContextTypes +from telegram.request import HTTPXRequest + +from vikingbot.bus.events import OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.channels.base import BaseChannel +from vikingbot.config.schema import TelegramChannelConfig +from vikingbot.channels.utils import extract_image_paths, read_image_file + + +def _markdown_to_telegram_html(text: str) -> str: + """ + Convert markdown to Telegram-safe HTML. + """ + if not text: + return "" + + # 1. Extract and protect code blocks (preserve content from other processing) + code_blocks: list[str] = [] + + def save_code_block(m: re.Match) -> str: + code_blocks.append(m.group(1)) + return f"\x00CB{len(code_blocks) - 1}\x00" + + text = re.sub(r"```[\w]*\n?([\s\S]*?)```", save_code_block, text) + + # 2. Extract and protect inline code + inline_codes: list[str] = [] + + def save_inline_code(m: re.Match) -> str: + inline_codes.append(m.group(1)) + return f"\x00IC{len(inline_codes) - 1}\x00" + + text = re.sub(r"`([^`]+)`", save_inline_code, text) + + # 3. Headers # Title -> just the title text + text = re.sub(r"^#{1,6}\s+(.+)$", r"\1", text, flags=re.MULTILINE) + + # 4. Blockquotes > text -> just the text (before HTML escaping) + text = re.sub(r"^>\s*(.*)$", r"\1", text, flags=re.MULTILINE) + + # 5. Escape HTML special characters + text = text.replace("&", "&").replace("<", "<").replace(">", ">") + + # 6. Links [text](url) - must be before bold/italic to handle nested cases + text = re.sub(r"\[([^\]]+)\]\(([^)]+)\)", r'\1', text) + + # 7. Bold **text** or __text__ + text = re.sub(r"\*\*(.+?)\*\*", r"\1", text) + text = re.sub(r"__(.+?)__", r"\1", text) + + # 8. Italic _text_ (avoid matching inside words like some_var_name) + text = re.sub(r"(?\1", text) + + # 9. Strikethrough ~~text~~ + text = re.sub(r"~~(.+?)~~", r"\1", text) + + # 10. Bullet lists - item -> • item + text = re.sub(r"^[-*]\s+", "• ", text, flags=re.MULTILINE) + + # 11. Restore inline code with HTML tags + for i, code in enumerate(inline_codes): + # Escape HTML in code content + escaped = code.replace("&", "&").replace("<", "<").replace(">", ">") + text = text.replace(f"\x00IC{i}\x00", f"{escaped}") + + # 12. Restore code blocks with HTML tags + for i, code in enumerate(code_blocks): + # Escape HTML in code content + escaped = code.replace("&", "&").replace("<", "<").replace(">", ">") + text = text.replace(f"\x00CB{i}\x00", f"
{escaped}
") + + return text + + +class TelegramChannel(BaseChannel): + """ + Telegram channel using long polling. + + Simple and reliable - no webhook/public IP needed. + """ + + name = "telegram" + + # Commands registered with Telegram's command menu + BOT_COMMANDS = [ + BotCommand("start", "Start the bot"), + BotCommand("new", "Start a new conversation"), + BotCommand("help", "Show available commands"), + ] + + def __init__( + self, + config: TelegramConfig, + bus: MessageBus, + groq_api_key: str = "", + ): + super().__init__(config, bus, **kwargs) + self.config: TelegramChannelConfig = config + self.groq_api_key = groq_api_key + self._app: Application | None = None + self._chat_ids: dict[str, int] = {} # Map sender_id to chat_id for replies + self._typing_tasks: dict[str, asyncio.Task] = {} # chat_id -> typing loop task + + async def start(self) -> None: + """Start the Telegram bot with long polling.""" + if not self.config.token: + logger.exception("Telegram bot token not configured") + return + + self._running = True + + # Build the application with larger connection pool to avoid pool-timeout on long runs + req = HTTPXRequest( + connection_pool_size=16, pool_timeout=5.0, connect_timeout=30.0, read_timeout=30.0 + ) + builder = ( + Application.builder().token(self.config.token).request(req).get_updates_request(req) + ) + if self.config.proxy: + builder = builder.proxy(self.config.proxy).get_updates_proxy(self.config.proxy) + self._app = builder.build() + self._app.add_error_handler(self._on_error) + + # Add command handlers + self._app.add_handler(CommandHandler("start", self._on_start)) + self._app.add_handler(CommandHandler("new", self._forward_command)) + self._app.add_handler(CommandHandler("help", self._forward_command)) + + # Add message handler for text, photos, voice, documents + self._app.add_handler( + MessageHandler( + ( + filters.TEXT + | filters.PHOTO + | filters.VOICE + | filters.AUDIO + | filters.Document.ALL + ) + & ~filters.COMMAND, + self._on_message, + ) + ) + + logger.info("Starting Telegram bot (polling mode)...") + + # Initialize and start polling + await self._app.initialize() + await self._app.start() + + # Get bot info and register command menu + bot_info = await self._app.bot.get_me() + logger.info(f"Telegram bot @{bot_info.username} connected") + + try: + await self._app.bot.set_my_commands(self.BOT_COMMANDS) + logger.debug("Telegram bot commands registered") + except Exception as e: + logger.warning(f"Failed to register bot commands: {e}") + + # Start polling (this runs until stopped) + await self._app.updater.start_polling( + allowed_updates=["message"], + drop_pending_updates=True, # Ignore old messages on startup + ) + + # Keep running until stopped + while self._running: + await asyncio.sleep(1) + + async def stop(self) -> None: + """Stop the Telegram bot.""" + self._running = False + + # Cancel all typing indicators + for chat_id in list(self._typing_tasks): + self._stop_typing(chat_id) + + if self._app: + logger.info("Stopping Telegram bot...") + await self._app.updater.stop() + await self._app.stop() + await self._app.shutdown() + self._app = None + + async def send(self, msg: OutboundMessage) -> None: + """Send a message through Telegram.""" + if not self._app: + logger.warning("Telegram bot not running") + return + + # Stop typing indicator for this chat + self._stop_typing(msg.session_key.chat_id) + + try: + # chat_id should be the Telegram chat ID (integer) + chat_id = int(msg.session_key.chat_id) + + # First extract local image file paths + local_image_paths, content_no_paths = extract_image_paths(msg.content) + + # Send local images first + if local_image_paths: + for img_path in local_image_paths: + try: + logger.debug(f"Processing local image file: {img_path}") + image_bytes = read_image_file(img_path) + from io import BytesIO + + await self._app.bot.send_photo(chat_id=chat_id, photo=BytesIO(image_bytes)) + logger.debug(f"Sent local image to {chat_id}: {img_path}") + except Exception as e: + logger.warning(f"Failed to process local image {img_path}: {e}") + + # Send remaining text content + if content_no_paths.strip(): + # Convert markdown to Telegram HTML + html_content = _markdown_to_telegram_html(content_no_paths) + await self._app.bot.send_message( + chat_id=chat_id, text=html_content, parse_mode="HTML" + ) + except ValueError: + logger.exception(f"Invalid chat_id: {msg.session_key.chat_id}") + except Exception as e: + # Fallback to plain text if HTML parsing fails + logger.warning(f"HTML parse failed, falling back to plain text: {e}") + try: + await self._app.bot.send_message( + chat_id=int(msg.session_key.chat_id), text=msg.content + ) + except Exception as e2: + logger.exception(f"Error sending Telegram message: {e2}") + + async def _on_start(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: + """Handle /start command.""" + if not update.message or not update.effective_user: + return + + user = update.effective_user + await update.message.reply_text( + f"👋 Hi {user.first_name}! I'm vikingbot.\n\n" + "Send me a message and I'll respond!\n" + "Type /help to see available commands." + ) + + async def _forward_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: + """Forward slash commands to the bus for unified handling in AgentLoop.""" + if not update.message or not update.effective_user: + return + await self._handle_message( + sender_id=str(update.effective_user.id), + chat_id=str(update.message.chat_id), + content=update.message.text, + ) + + async def _on_message(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: + """Handle incoming messages (text, photos, voice, documents).""" + if not update.message or not update.effective_user: + return + + message = update.message + user = update.effective_user + chat_id = message.chat_id + + # Use stable numeric ID, but keep username for allowlist compatibility + sender_id = str(user.id) + if user.username: + sender_id = f"{sender_id}|{user.username}" + + # Store chat_id for replies + self._chat_ids[sender_id] = chat_id + + # Build content from text and/or media + content_parts = [] + media_paths = [] + + # Text content + if message.text: + content_parts.append(message.text) + if message.caption: + content_parts.append(message.caption) + + # Handle media files + media_file = None + media_type = None + + if message.photo: + media_file = message.photo[-1] # Largest photo + media_type = "image" + elif message.voice: + media_file = message.voice + media_type = "voice" + elif message.audio: + media_file = message.audio + media_type = "audio" + elif message.document: + media_file = message.document + media_type = "file" + + # Download media if present + if media_file and self._app: + try: + file = await self._app.bot.get_file(media_file.file_id) + ext = self._get_extension(media_type, getattr(media_file, "mime_type", None)) + + # Save to workspace/media/ + from pathlib import Path + + if self.workspace_path: + media_dir = self.workspace_path / "media" + else: + # Fallback to ~/.vikingbot/media if workspace not available + media_dir = Path.home() / ".vikingbot" / "media" + media_dir.mkdir(parents=True, exist_ok=True) + + file_path = media_dir / f"{media_file.file_id[:16]}{ext}" + await file.download_to_drive(str(file_path)) + + media_paths.append(str(file_path)) + + # Handle voice transcription + if media_type == "voice" or media_type == "audio": + from vikingbot.providers.transcription import GroqTranscriptionProvider + + transcriber = GroqTranscriptionProvider(api_key=self.groq_api_key) + transcription = await transcriber.transcribe(file_path) + if transcription: + logger.info(f"Transcribed {media_type}: {transcription[:50]}...") + content_parts.append(f"[transcription: {transcription}]") + else: + content_parts.append(f"[{media_type}: {file_path}]") + else: + content_parts.append(f"[{media_type}: {file_path}]") + + logger.debug(f"Downloaded {media_type} to {file_path}") + except Exception as e: + logger.exception(f"Failed to download media: {e}") + content_parts.append(f"[{media_type}: download failed]") + + content = "\n".join(content_parts) if content_parts else "[empty message]" + + logger.debug(f"Telegram message from {sender_id}: {content[:50]}...") + + str_chat_id = str(chat_id) + + # Start typing indicator before processing + self._start_typing(str_chat_id) + + # Forward to the message bus + await self._handle_message( + sender_id=sender_id, + chat_id=str_chat_id, + content=content, + media=media_paths, + metadata={ + "message_id": message.message_id, + "user_id": user.id, + "username": user.username, + "first_name": user.first_name, + "is_group": message.chat.type != "private", + }, + ) + + def _start_typing(self, chat_id: str) -> None: + """Start sending 'typing...' indicator for a chat.""" + # Cancel any existing typing task for this chat + self._stop_typing(chat_id) + self._typing_tasks[chat_id] = asyncio.create_task(self._typing_loop(chat_id)) + + def _stop_typing(self, chat_id: str) -> None: + """Stop the typing indicator for a chat.""" + task = self._typing_tasks.pop(chat_id, None) + if task and not task.done(): + task.cancel() + + async def _typing_loop(self, chat_id: str) -> None: + """Repeatedly send 'typing' action until cancelled.""" + try: + while self._app: + await self._app.bot.send_chat_action(chat_id=int(chat_id), action="typing") + await asyncio.sleep(4) + except asyncio.CancelledError: + pass + except Exception as e: + logger.debug(f"Typing indicator stopped for {chat_id}: {e}") + + async def _on_error(self, update: object, context: ContextTypes.DEFAULT_TYPE) -> None: + """Log polling / handler errors instead of silently swallowing them.""" + logger.exception(f"Telegram error: {context.error}") + + def _get_extension(self, media_type: str, mime_type: str | None) -> str: + """Get file extension based on media type.""" + if mime_type: + ext_map = { + "image/jpeg": ".jpg", + "image/png": ".png", + "image/gif": ".gif", + "audio/ogg": ".ogg", + "audio/mpeg": ".mp3", + "audio/mp4": ".m4a", + } + if mime_type in ext_map: + return ext_map[mime_type] + + type_map = {"image": ".jpg", "voice": ".ogg", "audio": ".mp3", "file": ""} + return type_map.get(media_type, "") diff --git a/bot/vikingbot/channels/utils.py b/bot/vikingbot/channels/utils.py new file mode 100644 index 00000000..d6740497 --- /dev/null +++ b/bot/vikingbot/channels/utils.py @@ -0,0 +1,120 @@ +"""Shared utilities for channel implementations - image path handling, etc.""" + +import base64 +import re +from pathlib import Path +from loguru import logger +from typing import Tuple, List + + +# Common image file extensions +IMAGE_EXTENSIONS = {".png", ".jpg", ".jpeg", ".gif", ".webp", ".bmp", ".svg", ".tiff"} + + +def is_image_file_path(path_str: str) -> bool: + """ + Check if a string looks like a local image file path. + + Args: + path_str: The string to check + + Returns: + True if it looks like an image file path + """ + if not path_str: + return False + + # Check if it starts with markdown image syntax - skip these + if path_str.startswith("!["): + return False + + # Check if it's a data URI or URL - those are handled separately + if ( + path_str.startswith("data:") + or path_str.startswith("http://") + or path_str.startswith("https://") + ): + return False + + try: + path = Path(path_str) + # Check if it has an image extension + return path.suffix.lower() in IMAGE_EXTENSIONS + except Exception: + return False + + +def extract_image_paths(content: str) -> Tuple[List[str], str]: + """ + Extract potential image file paths from content. + Args: + content: The text content to process + Tuple of (list_of_image_paths, original_content) + """ + paths = [] + # First, extract all markdown image syntax: ![alt](path) + markdown_image_matches = re.findall(r"!\[.*?\]\((.*?)\)", content) + for match in markdown_image_matches: + if is_image_file_path(match): + paths.append(match) + + # Next, extract all backtick-wrapped content + backtick_matches = re.findall(r"`([^`]+)`", content) + for match in backtick_matches: + if is_image_file_path(match): + paths.append(match) + + # Also check all tokens (split by whitespace) + for token in content.split(): + # Clean up token (remove punctuation at end) + clean_token = token.rstrip(".,!?;:)]}'\"") + if clean_token and is_image_file_path(clean_token) and clean_token not in paths: + paths.append(clean_token) + + # Remove duplicates while preserving order + seen = set() + unique_paths = [] + for p in paths: + if p not in seen: + seen.add(p) + unique_paths.append(p) + + return unique_paths, content + + +def read_image_file(path_str: str) -> bytes: + """ + Read an image file from disk. + + Args: + path_str: Path to the image file + + Returns: + Image bytes + + Raises: + FileNotFoundError: If file doesn't exist + IOError: If reading fails + """ + path = Path(path_str) + if not path.exists(): + raise FileNotFoundError(f"Image file not found: {path_str}") + if not path.is_file(): + raise IOError(f"Path is not a file: {path_str}") + + return path.read_bytes() + + +def image_to_data_uri(image_bytes: bytes, mime_type: str = "image/png") -> str: + """ + Convert image bytes to a data URI. + + Args: + image_bytes: Image data + mime_type: MIME type of the image + + Returns: + Data URI string + """ + b64 = base64.b64encode(image_bytes).decode("utf-8") + return f"data:{mime_type};base64,{b64}" diff --git a/bot/vikingbot/channels/whatsapp.py b/bot/vikingbot/channels/whatsapp.py new file mode 100644 index 00000000..f5fc981d --- /dev/null +++ b/bot/vikingbot/channels/whatsapp.py @@ -0,0 +1,148 @@ +"""WhatsApp channel implementation using Node.js bridge.""" + +import asyncio +import json +from typing import Any + +from loguru import logger + +from vikingbot.bus.events import OutboundMessage +from vikingbot.bus.queue import MessageBus +from vikingbot.channels.base import BaseChannel +from vikingbot.config.schema import WhatsAppChannelConfig + + +class WhatsAppChannel(BaseChannel): + """ + WhatsApp channel that connects to a Node.js bridge. + + The bridge uses @whiskeysockets/baileys to handle the WhatsApp Web protocol. + Communication between Python and Node.js is via WebSocket. + """ + + name = "whatsapp" + + def __init__(self, config: WhatsAppChannelConfig, bus: MessageBus, **kwargs): + super().__init__(config, bus, **kwargs) + self.config: WhatsAppChannelConfig = config + self._ws = None + self._connected = False + + async def start(self) -> None: + """Start the WhatsApp channel by connecting to the bridge.""" + import websockets + + bridge_url = self.config.bridge_url + + logger.info(f"Connecting to WhatsApp bridge at {bridge_url}...") + + self._running = True + + while self._running: + try: + async with websockets.connect(bridge_url) as ws: + self._ws = ws + # Send auth token if configured + if self.config.bridge_token: + await ws.send( + json.dumps({"type": "auth", "token": self.config.bridge_token}) + ) + self._connected = True + logger.info("Connected to WhatsApp bridge") + + # Listen for messages + async for message in ws: + try: + await self._handle_bridge_message(message) + except Exception as e: + logger.exception(f"Error handling bridge message: {e}") + + except asyncio.CancelledError: + break + except Exception as e: + self._connected = False + self._ws = None + logger.warning(f"WhatsApp bridge connection error: {e}") + + if self._running: + logger.info("Reconnecting in 5 seconds...") + await asyncio.sleep(5) + + async def stop(self) -> None: + """Stop the WhatsApp channel.""" + self._running = False + self._connected = False + + if self._ws: + await self._ws.close() + self._ws = None + + async def send(self, msg: OutboundMessage) -> None: + """Send a message through WhatsApp.""" + if not self._ws or not self._connected: + logger.warning("WhatsApp bridge not connected") + return + + try: + payload = {"type": "send", "to": msg.session_key.chat_id, "text": msg.content} + await self._ws.send(json.dumps(payload)) + except Exception as e: + logger.exception(f"Error sending WhatsApp message: {e}") + + async def _handle_bridge_message(self, raw: str) -> None: + """Handle a message from the bridge.""" + try: + data = json.loads(raw) + except json.JSONDecodeError: + logger.warning(f"Invalid JSON from bridge: {raw[:100]}") + return + + msg_type = data.get("type") + + if msg_type == "message": + # Incoming message from WhatsApp + # Deprecated by whatsapp: old phone number style typically: @s.whatspp.net + pn = data.get("pn", "") + # New LID sytle typically: + sender = data.get("sender", "") + content = data.get("content", "") + + # Extract just the phone number or lid as chat_id + user_id = pn if pn else sender + sender_id = user_id.split("@")[0] if "@" in user_id else user_id + logger.info(f"Sender {sender}") + + # Handle voice transcription if it's a voice message + if content == "[Voice Message]": + logger.info( + f"Voice message received from {sender_id}, but direct download from bridge is not yet supported." + ) + content = "[Voice Message: Transcription not available for WhatsApp yet]" + + await self._handle_message( + sender_id=sender_id, + chat_id=sender, # Use full LID for replies + content=content, + metadata={ + "message_id": data.get("id"), + "timestamp": data.get("timestamp"), + "is_group": data.get("isGroup", False), + }, + ) + + elif msg_type == "status": + # Connection status update + status = data.get("status") + logger.info(f"WhatsApp status: {status}") + + if status == "connected": + self._connected = True + elif status == "disconnected": + self._connected = False + + elif msg_type == "qr": + # QR code for authentication + logger.info("Scan QR code in the bridge terminal to connect WhatsApp") + + elif msg_type == "error": + logger.exception(f"WhatsApp bridge error: {data.get('error')}") diff --git a/bot/vikingbot/cli/__init__.py b/bot/vikingbot/cli/__init__.py new file mode 100644 index 00000000..d6a2af3e --- /dev/null +++ b/bot/vikingbot/cli/__init__.py @@ -0,0 +1 @@ +"""CLI module for vikingbot.""" diff --git a/bot/vikingbot/cli/commands.py b/bot/vikingbot/cli/commands.py new file mode 100644 index 00000000..f5820648 --- /dev/null +++ b/bot/vikingbot/cli/commands.py @@ -0,0 +1,821 @@ +"""CLI commands for vikingbot.""" + +import asyncio +import json +import os +import signal +from multiprocessing.spawn import prepare +from pathlib import Path +import select +import sys +from xml.etree.ElementPath import prepare_self +from loguru import logger +import typer +from jinja2.filters import prepare_map +from rich.console import Console +from rich.markdown import Markdown +from rich.table import Table +from rich.text import Text + +from prompt_toolkit import PromptSession +from prompt_toolkit.formatted_text import HTML +from prompt_toolkit.history import FileHistory +from prompt_toolkit.patch_stdout import patch_stdout +from vikingbot.config.loader import load_config, ensure_config, get_data_dir, get_config_path +from vikingbot.bus.queue import MessageBus +from vikingbot.agent.loop import AgentLoop + +from vikingbot.session.manager import SessionManager +from vikingbot.cron.service import CronService +from vikingbot.cron.types import CronJob +from vikingbot.heartbeat.service import HeartbeatService +from vikingbot import __version__, __logo__ +from vikingbot.config.schema import SessionKey + +# Create sandbox manager +from vikingbot.sandbox.manager import SandboxManager +from vikingbot.utils.helpers import get_source_workspace_path +from vikingbot.channels.manager import ChannelManager + + +app = typer.Typer( + name="vikingbot", + help=f"{__logo__} vikingbot - Personal AI Assistant", + no_args_is_help=True, +) + +console = Console() +EXIT_COMMANDS = {"exit", "quit", "/exit", "/quit", ":q"} + +# --------------------------------------------------------------------------- +# CLI input: prompt_toolkit for editing, paste, history, and display +# --------------------------------------------------------------------------- + +_PROMPT_SESSION: PromptSession | None = None +_SAVED_TERM_ATTRS = None # original termios settings, restored on exit + + +def _flush_pending_tty_input() -> None: + """Drop unread keypresses typed while the model was generating output.""" + try: + fd = sys.stdin.fileno() + if not os.isatty(fd): + return + except Exception: + return + + try: + import termios + + termios.tcflush(fd, termios.TCIFLUSH) + return + except Exception: + pass + + try: + while True: + ready, _, _ = select.select([fd], [], [], 0) + if not ready: + break + if not os.read(fd, 4096): + break + except Exception: + return + + +def _restore_terminal() -> None: + """Restore terminal to its original state (echo, line buffering, etc.).""" + if _SAVED_TERM_ATTRS is None: + return + try: + import termios + + termios.tcsetattr(sys.stdin.fileno(), termios.TCSADRAIN, _SAVED_TERM_ATTRS) + except Exception: + pass + + +def _init_prompt_session() -> None: + """Create the prompt_toolkit session with persistent file history.""" + global _PROMPT_SESSION, _SAVED_TERM_ATTRS + + # Save terminal state so we can restore it on exit + try: + import termios + + _SAVED_TERM_ATTRS = termios.tcgetattr(sys.stdin.fileno()) + except Exception: + pass + + history_file = Path.home() / ".vikingbot" / "history" / "cli_history" + history_file.parent.mkdir(parents=True, exist_ok=True) + + _PROMPT_SESSION = PromptSession( + history=FileHistory(str(history_file)), + enable_open_in_editor=False, + multiline=False, # Enter submits (single line mode) + ) + + +def _print_agent_response(response: str, render_markdown: bool) -> None: + """Render assistant response with consistent terminal styling.""" + content = response or "" + body = Markdown(content) if render_markdown else Text(content) + console.print() + console.print(f"[cyan]{__logo__} vikingbot[/cyan]") + console.print(body) + console.print() + + +def _is_exit_command(command: str) -> bool: + """Return True when input should end interactive chat.""" + return command.lower() in EXIT_COMMANDS + + +async def _read_interactive_input_async() -> str: + """Read user input using prompt_toolkit (handles paste, history, display). + + prompt_toolkit natively handles: + - Multiline paste (bracketed paste mode) + - History navigation (up/down arrows) + - Clean display (no ghost characters or artifacts) + """ + if _PROMPT_SESSION is None: + raise RuntimeError("Call _init_prompt_session() first") + try: + with patch_stdout(): + return await _PROMPT_SESSION.prompt_async( + HTML("You: "), + ) + except EOFError as exc: + raise KeyboardInterrupt from exc + + +def version_callback(value: bool): + if value: + console.print(f"{__logo__} vikingbot v{__version__}") + raise typer.Exit() + + +@app.callback() +def main( + version: bool = typer.Option(None, "--version", "-v", callback=version_callback, is_eager=True), +): + """vikingbot - Personal AI Assistant.""" + pass + + +def _make_provider(config): + """Create LiteLLMProvider from config. Allows starting without API key.""" + from vikingbot.providers.litellm_provider import LiteLLMProvider + + p = config.get_provider() + model = config.agents.defaults.model + api_key = p.api_key if p else None + api_base = config.get_api_base() + provider_name = config.get_provider_name() + + if not (api_key) and not model.startswith("bedrock/"): + console.print("[yellow]Warning: No API key configured.[/yellow]") + console.print("You can configure providers later in the Console UI.") + + return LiteLLMProvider( + api_key=api_key, + api_base=api_base, + default_model=model, + extra_headers=p.extra_headers if p else None, + provider_name=provider_name, + ) + + +# ============================================================================ +# Gateway / Server +# ============================================================================ + + +@app.command() +def gateway( + port: int = typer.Option(18790, "--port", "-p", help="Gateway port"), + console_port: int = typer.Option(18791, "--console-port", help="Console web UI port"), + enable_console: bool = typer.Option( + True, "--console/--no-console", help="Enable console web UI" + ), + verbose: bool = typer.Option(False, "--verbose", "-v", help="Verbose output"), +): + """Start the vikingbot gateway.""" + + if verbose: + import logging + + logging.basicConfig(level=logging.DEBUG) + + bus = MessageBus() + config = ensure_config() + session_manager = SessionManager(config.workspace_path) + + cron = prepare_cron(bus) + channels = prepare_channel(config, bus) + agent_loop = prepare_agent_loop(config, bus, session_manager, cron) + heartbeat = prepare_heartbeat(config, agent_loop, session_manager) + + async def run(): + tasks = [] + tasks.append(cron.start()) + tasks.append(heartbeat.start()) + tasks.append(channels.start_all()) + tasks.append(agent_loop.run()) + if enable_console: + tasks.append(start_console(console_port)) + + await asyncio.gather(*tasks) + + asyncio.run(run()) + + +def prepare_agent_loop(config, bus, session_manager, cron): + sandbox_parent_path = config.workspace_path + source_workspace_path = get_source_workspace_path() + sandbox_manager = SandboxManager(config, sandbox_parent_path, source_workspace_path) + console.print( + f"[green]✓[/green] Sandbox: enabled (backend={config.sandbox.backend}, mode={config.sandbox.mode})" + ) + provider = _make_provider(config) + # Create agent with cron service + agent = AgentLoop( + bus=bus, + provider=provider, + workspace=config.workspace_path, + model=config.agents.defaults.model, + max_iterations=config.agents.defaults.max_tool_iterations, + memory_window=config.agents.defaults.memory_window, + brave_api_key=config.tools.web.search.api_key or None, + exa_api_key=None, + gen_image_model=config.agents.defaults.gen_image_model, + exec_config=config.tools.exec, + cron_service=cron, + session_manager=session_manager, + sandbox_manager=sandbox_manager, + config=config, + ) + return agent + + +def prepare_cron(bus) -> CronService: + # Create cron service first (callback set after agent creation) + cron_store_path = get_data_dir() / "cron" / "jobs.json" + cron = CronService(cron_store_path) + + # Set cron callback (needs agent) + async def on_cron_job(job: CronJob) -> str | None: + """Execute a cron job through the agent.""" + session_key = SessionKey(**json.loads(job.payload.session_key_str)) + response = await agent.process_direct( + job.payload.message, + session_key=session_key, + ) + if job.payload.deliver: + from vikingbot.bus.events import OutboundMessage + + await bus.publish_outbound( + OutboundMessage( + session_key=session_key, + content=response or "", + ) + ) + return response + + cron.on_job = on_cron_job + + cron_status = cron.status() + if cron_status["jobs"] > 0: + console.print(f"[green]✓[/green] Cron: {cron_status['jobs']} scheduled jobs") + + return cron + + +def prepare_channel(config, bus): + + channels = ChannelManager(config, bus) + if channels.enabled_channels: + console.print(f"[green]✓[/green] Channels enabled: {', '.join(channels.enabled_channels)}") + else: + console.print("[yellow]Warning: No channels enabled[/yellow]") + return channels + + +def prepare_heartbeat(config, agent_loop, session_manager) -> HeartbeatService: + # Create heartbeat service + async def on_heartbeat(prompt: str, session_key: SessionKey | None = None) -> str: + + return await agent_loop.process_direct( + prompt, + session_key=session_key, + ) + + heartbeat = HeartbeatService( + workspace=config.workspace_path, + on_heartbeat=on_heartbeat, + interval_s=config.heartbeat.interval_seconds, + enabled=config.heartbeat.enabled, + sandbox_mode=config.sandbox.mode, + session_manager=session_manager, + ) + + console.print( + f"[green]✓[/green] Heartbeat: every {config.heartbeat.interval_seconds}s" + if config.heartbeat.enabled + else "[yellow]✗[/yellow] Heartbeat: disabled" + ) + return heartbeat + + +async def start_console(console_port): + try: + import subprocess + import sys + import os + + def start_gradio(): + script_path = os.path.join( + os.path.dirname(__file__), "..", "console", "console_gradio_simple.py" + ) + subprocess.Popen([sys.executable, script_path, str(console_port)]) + + start_gradio() + except Exception as e: + console.print(f"[yellow]Warning: Gradio not available ({e})[/yellow]") + + +# ============================================================================ +# Agent Commands +# ============================================================================ + + +@app.command() +def agent( + message: str = typer.Option(None, "--message", "-m", help="Message to send to the agent"), + session_id: str = typer.Option("cli__default__direct", "--session", "-s", help="Session ID"), + markdown: bool = typer.Option( + True, "--markdown/--no-markdown", help="Render assistant output as Markdown" + ), + logs: bool = typer.Option( + False, "--logs/--no-logs", help="Show vikingbot runtime logs during chat" + ), +): + """Interact with the agent directly.""" + if logs: + logger.enable("vikingbot") + else: + logger.disable("vikingbot") + + session_key = SessionKey.from_safe_name(session_id) + + bus = MessageBus() + config = ensure_config() + session_manager = SessionManager(config.workspace_path) + + cron = prepare_cron(bus) + agent_loop = prepare_agent_loop(config, bus, session_manager, cron) + + # Show spinner when logs are off (no output to miss); skip when logs are on + def _thinking_ctx(): + if logs: + from contextlib import nullcontext + + return nullcontext() + # Animated spinner is safe to use with prompt_toolkit input handling + return console.status("[dim]vikingbot is thinking...[/dim]", spinner="dots") + + if message: + # Single message mode + async def run_once(): + with _thinking_ctx(): + response = await agent_loop.process_direct(message, session_key=session_key) + _print_agent_response(response, render_markdown=markdown) + + asyncio.run(run_once()) + else: + # Interactive mode + _init_prompt_session() + console.print( + f"{__logo__} Interactive mode (type [bold]exit[/bold] or [bold]Ctrl+C[/bold] to quit)\n" + ) + + def _exit_on_sigint(signum, frame): + _restore_terminal() + console.print("\nGoodbye!") + os._exit(0) + + signal.signal(signal.SIGINT, _exit_on_sigint) + + async def run_interactive(): + while True: + try: + _flush_pending_tty_input() + user_input = await _read_interactive_input_async() + command = user_input.strip() + if not command: + continue + + if _is_exit_command(command): + _restore_terminal() + console.print("\nGoodbye!") + break + + with _thinking_ctx(): + response = await agent_loop.process_direct( + user_input, session_key=session_key + ) + _print_agent_response(response, render_markdown=markdown) + except KeyboardInterrupt: + _restore_terminal() + console.print("\nGoodbye!") + break + except EOFError: + _restore_terminal() + console.print("\nGoodbye!") + break + + asyncio.run(run_interactive()) + + +# ============================================================================ +# Channel Commands +# ============================================================================ + + +channels_app = typer.Typer(help="Manage channels") +app.add_typer(channels_app, name="channels") + + +@channels_app.command("status") +def channels_status(): + """Show channel status.""" + from vikingbot.config.loader import load_config + from vikingbot.config.schema import ChannelType + + config = load_config() + channels_config = config.channels_config + all_channels = channels_config.get_all_channels() + + table = Table(title="Channel Status") + table.add_column("Type", style="cyan") + table.add_column("ID", style="magenta") + table.add_column("Enabled", style="green") + table.add_column("Configuration", style="yellow") + + for channel in all_channels: + channel_type = str(channel.type) + channel_id = channel.channel_id() + + config_info = "" + if channel.type == ChannelType.WHATSAPP: + config_info = channel.bridge_url + elif channel.type == ChannelType.FEISHU: + config_info = f"app_id: {channel.app_id[:10]}..." if channel.app_id else "" + elif channel.type == ChannelType.DISCORD: + config_info = channel.gateway_url + elif channel.type == ChannelType.MOCHAT: + config_info = channel.base_url or "" + elif channel.type == ChannelType.TELEGRAM: + config_info = f"token: {channel.token[:10]}..." if channel.token else "" + elif channel.type == ChannelType.SLACK: + config_info = "socket" if channel.app_token and channel.bot_token else "" + + table.add_row( + channel_type, channel_id, "✓" if channel.enabled else "✗", config_info or "[dim]—[/dim]" + ) + + if not all_channels: + table.add_row("[dim]No channels configured[/dim]", "", "", "") + + console.print(table) + + +def _get_bridge_dir() -> Path: + """Get the bridge directory, setting it up if needed.""" + import shutil + import subprocess + + # User's bridge location + user_bridge = Path.home() / ".vikingbot" / "bridge" + + # Check if already built + if (user_bridge / "dist" / "index.js").exists(): + return user_bridge + + # Check for npm + if not shutil.which("npm"): + console.print("[red]npm not found. Please install Node.js >= 18.[/red]") + raise typer.Exit(1) + + # Find source bridge: first check package data, then source dir + pkg_bridge = Path(__file__).parent.parent / "bridge" # vikingbot/bridge (installed) + src_bridge = Path(__file__).parent.parent.parent / "bridge" # repo root/bridge (dev) + + source = None + if (pkg_bridge / "package.json").exists(): + source = pkg_bridge + elif (src_bridge / "package.json").exists(): + source = src_bridge + + if not source: + console.print("[red]Bridge source not found.[/red]") + console.print("Try reinstalling: pip install --force-reinstall vikingbot") + raise typer.Exit(1) + + console.print(f"{__logo__} Setting up bridge...") + + # Copy to user directory + user_bridge.parent.mkdir(parents=True, exist_ok=True) + if user_bridge.exists(): + shutil.rmtree(user_bridge) + shutil.copytree(source, user_bridge, ignore=shutil.ignore_patterns("node_modules", "dist")) + + # Install and build + try: + console.print(" Installing dependencies...") + subprocess.run(["npm", "install"], cwd=user_bridge, check=True, capture_output=True) + + console.print(" Building...") + subprocess.run(["npm", "run", "build"], cwd=user_bridge, check=True, capture_output=True) + + console.print("[green]✓[/green] Bridge ready\n") + except subprocess.CalledProcessError as e: + console.print(f"[red]Build failed: {e}[/red]") + if e.stderr: + console.print(f"[dim]{e.stderr.decode()[:500]}[/dim]") + raise typer.Exit(1) + + return user_bridge + + +@channels_app.command("login") +def channels_login(): + """Link device via QR code.""" + import subprocess + from vikingbot.config.loader import load_config + from vikingbot.config.schema import ChannelType + + config = load_config() + bridge_dir = _get_bridge_dir() + + console.print(f"{__logo__} Starting bridge...") + console.print("Scan the QR code to connect.\n") + + env = {**os.environ} + + # Find WhatsApp channel config + channels_config = config.channels_config + all_channels = channels_config.get_all_channels() + whatsapp_channel = next((c for c in all_channels if c.type == ChannelType.WHATSAPP), None) + + if whatsapp_channel and whatsapp_channel.bridge_token: + env["BRIDGE_TOKEN"] = whatsapp_channel.bridge_token + + try: + subprocess.run(["npm", "start"], cwd=bridge_dir, check=True, env=env) + except subprocess.CalledProcessError as e: + console.print(f"[red]Bridge failed: {e}[/red]") + except FileNotFoundError: + console.print("[red]npm not found. Please install Node.js.[/red]") + + +# ============================================================================ +# Cron Commands +# ============================================================================ + +cron_app = typer.Typer(help="Manage scheduled tasks") +app.add_typer(cron_app, name="cron") + + +@cron_app.command("list") +def cron_list( + all: bool = typer.Option(False, "--all", "-a", help="Include disabled jobs"), +): + """List scheduled jobs.""" + from vikingbot.config.loader import get_data_dir + from vikingbot.cron.service import CronService + + store_path = get_data_dir() / "cron" / "jobs.json" + service = CronService(store_path) + + jobs = service.list_jobs(include_disabled=all) + + if not jobs: + console.print("No scheduled jobs.") + return + + table = Table(title="Scheduled Jobs") + table.add_column("ID", style="cyan") + table.add_column("Name") + table.add_column("Schedule") + table.add_column("Status") + table.add_column("Next Run") + + import time + + for job in jobs: + # Format schedule + if job.schedule.kind == "every": + sched = f"every {(job.schedule.every_ms or 0) // 1000}s" + elif job.schedule.kind == "cron": + sched = job.schedule.expr or "" + else: + sched = "one-time" + + # Format next run + next_run = "" + if job.state.next_run_at_ms: + next_time = time.strftime( + "%Y-%m-%d %H:%M", time.localtime(job.state.next_run_at_ms / 1000) + ) + next_run = next_time + + status = "[green]enabled[/green]" if job.enabled else "[dim]disabled[/dim]" + + table.add_row(job.id, job.name, sched, status, next_run) + + console.print(table) + + +@cron_app.command("add") +def cron_add( + name: str = typer.Option(..., "--name", "-n", help="Job name"), + message: str = typer.Option(..., "--message", "-m", help="Message for agent"), + every: int = typer.Option(None, "--every", "-e", help="Run every N seconds"), + cron_expr: str = typer.Option(None, "--cron", "-c", help="Cron expression (e.g. '0 9 * * *')"), + at: str = typer.Option(None, "--at", help="Run once at time (ISO format)"), + deliver: bool = typer.Option(False, "--deliver", "-d", help="Deliver response to channel"), +): + """Add a scheduled job.""" + from vikingbot.config.loader import get_data_dir + from vikingbot.cron.service import CronService + from vikingbot.cron.types import CronSchedule + + # Determine schedule type + if every: + schedule = CronSchedule(kind="every", every_ms=every * 1000) + elif cron_expr: + schedule = CronSchedule(kind="cron", expr=cron_expr) + elif at: + import datetime + + dt = datetime.datetime.fromisoformat(at) + schedule = CronSchedule(kind="at", at_ms=int(dt.timestamp() * 1000)) + else: + console.print("[red]Error: Must specify --every, --cron, or --at[/red]") + raise typer.Exit(1) + + store_path = get_data_dir() / "cron" / "jobs.json" + service = CronService(store_path) + + session_key = SessionKey.from_safe_name() + + job = service.add_job( + name=name, + schedule=schedule, + message=message, + deliver=deliver, + session_key=session_key, + ) + + console.print(f"[green]✓[/green] Added job '{job.name}' ({job.id})") + + +@cron_app.command("remove") +def cron_remove( + job_id: str = typer.Argument(..., help="Job ID to remove"), +): + """Remove a scheduled job.""" + from vikingbot.config.loader import get_data_dir + from vikingbot.cron.service import CronService + + store_path = get_data_dir() / "cron" / "jobs.json" + service = CronService(store_path) + + if service.remove_job(job_id): + console.print(f"[green]✓[/green] Removed job {job_id}") + else: + console.print(f"[red]Job {job_id} not found[/red]") + + +@cron_app.command("enable") +def cron_enable( + job_id: str = typer.Argument(..., help="Job ID"), + disable: bool = typer.Option(False, "--disable", help="Disable instead of enable"), +): + """Enable or disable a job.""" + from vikingbot.config.loader import get_data_dir + from vikingbot.cron.service import CronService + + store_path = get_data_dir() / "cron" / "jobs.json" + service = CronService(store_path) + + job = service.enable_job(job_id, enabled=not disable) + if job: + status = "disabled" if disable else "enabled" + console.print(f"[green]✓[/green] Job '{job.name}' {status}") + else: + console.print(f"[red]Job {job_id} not found[/red]") + + +@cron_app.command("run") +def cron_run( + job_id: str = typer.Argument(..., help="Job ID to run"), + force: bool = typer.Option(False, "--force", "-f", help="Run even if disabled"), +): + """Manually run a job.""" + from vikingbot.config.loader import get_data_dir + from vikingbot.cron.service import CronService + + store_path = get_data_dir() / "cron" / "jobs.json" + service = CronService(store_path) + + async def run(): + return await service.run_job(job_id, force=force) + + if asyncio.run(run()): + console.print(f"[green]✓[/green] Job executed") + else: + console.print(f"[red]Failed to run job {job_id}[/red]") + + +# ============================================================================ +# Status Commands +# ============================================================================ + + +@app.command() +def status(): + """Show vikingbot status.""" + from vikingbot.config.loader import load_config, get_config_path + + config_path = get_config_path() + config = load_config() + workspace = config.workspace_path + + console.print(f"{__logo__} vikingbot Status\n") + + console.print( + f"Config: {config_path} {'[green]✓[/green]' if config_path.exists() else '[red]✗[/red]'}" + ) + console.print( + f"Workspace: {workspace} {'[green]✓[/green]' if workspace.exists() else '[red]✗[/red]'}" + ) + + if config_path.exists(): + from vikingbot.providers.registry import PROVIDERS + + console.print(f"Model: {config.agents.defaults.model}") + + # Check API keys from registry + for spec in PROVIDERS: + p = getattr(config.providers, spec.name, None) + if p is None: + continue + if spec.is_local: + # Local deployments show api_base instead of api_key + if p.api_base: + console.print(f"{spec.label}: [green]✓ {p.api_base}[/green]") + else: + console.print(f"{spec.label}: [dim]not set[/dim]") + else: + has_key = bool(p.api_key) + console.print( + f"{spec.label}: {'[green]✓[/green]' if has_key else '[dim]not set[/dim]'}" + ) + + +@app.command() +def tui( + console_port: int = typer.Option(18791, "--console-port", help="Console web UI port"), + enable_console: bool = typer.Option( + True, "--console/--no-console", help="Enable console web UI" + ), +): + """Launch vikingbot TUI interface interface.""" + """Interact with the agent directly.""" + logger.enable("vikingbot") + if enable_console: + console.print(f"[green]✓[/green] Console: http://localhost:{console_port} ") + + bus = MessageBus() + config = ensure_config() + session_manager = SessionManager(config.workspace_path) + + cron = prepare_cron(bus) + agent_loop = prepare_agent_loop(config, bus, session_manager, cron) + + async def run(): + tasks = [] + from vikingbot.tui.app import run_tui + + tasks.append(run_tui(agent_loop, bus, config)) + await asyncio.gather(*tasks) + + asyncio.run(run()) + + +if __name__ == "__main__": + app() diff --git a/bot/vikingbot/config/__init__.py b/bot/vikingbot/config/__init__.py new file mode 100644 index 00000000..f81acc62 --- /dev/null +++ b/bot/vikingbot/config/__init__.py @@ -0,0 +1,6 @@ +"""Configuration module for vikingbot.""" + +from vikingbot.config.loader import load_config, get_config_path +from vikingbot.config.schema import Config + +__all__ = ["Config", "load_config", "get_config_path"] diff --git a/bot/vikingbot/config/loader.py b/bot/vikingbot/config/loader.py new file mode 100644 index 00000000..25c464f5 --- /dev/null +++ b/bot/vikingbot/config/loader.py @@ -0,0 +1,131 @@ +"""Configuration loading utilities.""" + +import json +from pathlib import Path +from typing import Any +from loguru import logger +from vikingbot.config.schema import Config + + +def get_config_path() -> Path: + """Get the default configuration file path.""" + return Path.home() / ".vikingbot" / "config.json" + + +def get_data_dir() -> Path: + """Get the vikingbot data directory.""" + from vikingbot.utils.helpers import get_data_path + + return get_data_path() + + +def ensure_config(): + config_path = get_config_path() + if not config_path.exists(): + logger.info("Config not found, creating default config...") + + config = Config() + save_config(config) + logger.info(f"[green]✓[/green] Created default config at {config_path}") + config = load_config(config_path) + return config + + +def load_config(config_path: Path | None = None) -> Config: + """ + Load configuration from file or create default. + + Args: + config_path: Optional path to config file. Uses default if not provided. + + Returns: + Loaded configuration object. + """ + path = config_path or get_config_path() + + if path.exists(): + try: + with open(path) as f: + data = json.load(f) + data = _migrate_config(data) + return Config.model_validate(convert_keys(data)) + except (json.JSONDecodeError, ValueError) as e: + print(f"Warning: Failed to load config from {path}: {e}") + print("Using default configuration.") + + return Config() + + +def save_config(config: Config, config_path: Path | None = None) -> None: + """ + Save configuration to file. + + Args: + config: Configuration to save. + config_path: Optional path to save to. Uses default if not provided. + """ + path = config_path or get_config_path() + path.parent.mkdir(parents=True, exist_ok=True) + + data = config.model_dump() + data = convert_to_camel(data) + + with open(path, "w") as f: + json.dump(data, f, indent=2) + + +def _migrate_config(data: dict) -> dict: + """Migrate old config formats to current.""" + # Move sandbox.network/filesystem/runtime to sandbox.backends.srt if they exist + if "sandbox" in data: + sandbox = data["sandbox"] + # Initialize backends if not present + if "backends" not in sandbox: + sandbox["backends"] = {} + if "srt" not in sandbox["backends"]: + sandbox["backends"]["srt"] = {} + srt_backend = sandbox["backends"]["srt"] + # Move network + if "network" in sandbox: + srt_backend["network"] = sandbox.pop("network") + # Move filesystem + if "filesystem" in sandbox: + srt_backend["filesystem"] = sandbox.pop("filesystem") + # Move runtime + if "runtime" in sandbox: + srt_backend["runtime"] = sandbox.pop("runtime") + return data + + +def convert_keys(data: Any) -> Any: + """Convert camelCase keys to snake_case for Pydantic.""" + if isinstance(data, dict): + return {camel_to_snake(k): convert_keys(v) for k, v in data.items()} + if isinstance(data, list): + return [convert_keys(item) for item in data] + return data + + +def convert_to_camel(data: Any) -> Any: + """Convert snake_case keys to camelCase.""" + if isinstance(data, dict): + return {snake_to_camel(k): convert_to_camel(v) for k, v in data.items()} + if isinstance(data, list): + return [convert_to_camel(item) for item in data] + return data + + +def camel_to_snake(name: str) -> str: + """Convert camelCase to snake_case.""" + result = [] + for i, char in enumerate(name): + if char.isupper() and i > 0: + result.append("_") + result.append(char.lower()) + return "".join(result) + + +def snake_to_camel(name: str) -> str: + """Convert snake_case to camelCase.""" + components = name.split("_") + return components[0] + "".join(x.title() for x in components[1:]) diff --git a/bot/vikingbot/config/schema.py b/bot/vikingbot/config/schema.py new file mode 100644 index 00000000..6a517c70 --- /dev/null +++ b/bot/vikingbot/config/schema.py @@ -0,0 +1,666 @@ +"""Configuration schema using Pydantic.""" + +from enum import Enum +from pathlib import Path +from typing import Union, Any +from pydantic import BaseModel, Field, ConfigDict +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class ChannelType(str, Enum): + """Channel type enumeration.""" + + WHATSAPP = "whatsapp" + TELEGRAM = "telegram" + DISCORD = "discord" + FEISHU = "feishu" + MOCHAT = "mochat" + DINGTALK = "dingtalk" + EMAIL = "email" + SLACK = "slack" + QQ = "qq" + + +class SandboxBackend(str, Enum): + """Sandbox backend type enumeration.""" + + SRT = "srt" + DOCKER = "docker" + OPENSANDBOX = "opensandbox" + DIRECT = "direct" + AIOSANDBOX = "aiosandbox" + + +class SandboxMode(str, Enum): + """Sandbox mode enumeration.""" + + PER_SESSION = "per-session" + SHARED = "shared" + + +class BaseChannelConfig(BaseModel): + """Base channel configuration.""" + + type: ChannelType + enabled: bool = True + + def channel_id(self) -> str: + raise "default" + + +# ========== Channel helper configs ========== + + +class MochatMentionConfig(BaseModel): + """Mochat mention behavior configuration.""" + + require_in_groups: bool = False + + +class MochatGroupRule(BaseModel): + """Mochat per-group mention requirement.""" + + require_mention: bool = False + + +class SlackDMConfig(BaseModel): + """Slack DM policy configuration.""" + + enabled: bool = True + policy: str = "open" # "open" or "allowlist" + allow_from: list[str] = Field(default_factory=list) # Allowed Slack user IDs + + +# ========== Multi-channel support ========== + + +class TelegramChannelConfig(BaseChannelConfig): + """Telegram channel configuration (multi-channel support).""" + + type: ChannelType = ChannelType.TELEGRAM + token: str = "" + allow_from: list[str] = Field(default_factory=list) + proxy: str | None = None + + def channel_id(self) -> str: + # Use the bot ID from token (before colon) + return self.token.split(":")[0] if ":" in self.token else self.token + + +class FeishuChannelConfig(BaseChannelConfig): + """Feishu/Lark channel configuration (multi-channel support).""" + + type: ChannelType = ChannelType.FEISHU + app_id: str = "" + app_secret: str = "" + encrypt_key: str = "" + verification_token: str = "" + allow_from: list[str] = Field(default_factory=list) + + def channel_id(self) -> str: + # Use app_id directly as the ID + return self.app_id + + def channel_key(self): + return f"{self.type.value}__{self.channel_id()}" + + +class DiscordChannelConfig(BaseChannelConfig): + """Discord channel configuration (multi-channel support).""" + + type: ChannelType = ChannelType.DISCORD + token: str = "" + allow_from: list[str] = Field(default_factory=list) + gateway_url: str = "wss://gateway.discord.gg/?v=10&encoding=json" + intents: int = 37377 + + def channel_id(self) -> str: + # Use first 20 chars of token as ID + return self.token[:20] + + +class WhatsAppChannelConfig(BaseChannelConfig): + """WhatsApp channel configuration (multi-channel support).""" + + type: ChannelType = ChannelType.WHATSAPP + bridge_url: str = "ws://localhost:3001" + bridge_token: str = "" + allow_from: list[str] = Field(default_factory=list) + + def channel_id(self) -> str: + # WhatsApp typically only has one instance + return "whatsapp" + + +class MochatChannelConfig(BaseChannelConfig): + """MoChat channel configuration (multi-channel support).""" + + type: ChannelType = ChannelType.MOCHAT + base_url: str = "https://mochat.io" + socket_url: str = "" + socket_path: str = "/socket.io" + socket_disable_msgpack: bool = False + socket_reconnect_delay_ms: int = 1000 + socket_max_reconnect_delay_ms: int = 10000 + socket_connect_timeout_ms: int = 10000 + refresh_interval_ms: int = 30000 + watch_timeout_ms: int = 25000 + watch_limit: int = 100 + retry_delay_ms: int = 500 + max_retry_attempts: int = 0 + claw_token: str = "" + agent_user_id: str = "" + sessions: list[str] = Field(default_factory=list) + panels: list[str] = Field(default_factory=list) + allow_from: list[str] = Field(default_factory=list) + mention: MochatMentionConfig = Field(default_factory=MochatMentionConfig) + groups: dict[str, MochatGroupRule] = Field(default_factory=dict) + reply_delay_mode: str = "non-mention" + reply_delay_ms: int = 120000 + + def _generate_default_id(self) -> str: + # Use agent_user_id as the ID + return self.agent_user_id if self.agent_user_id else "mochat" + + +class DingTalkChannelConfig(BaseChannelConfig): + """DingTalk channel configuration (multi-channel support).""" + + type: ChannelType = ChannelType.DINGTALK + client_id: str = "" + client_secret: str = "" + allow_from: list[str] = Field(default_factory=list) + + def channel_id(self) -> str: + # Use client_id directly as the ID + return self.client_id + + +class EmailChannelConfig(BaseChannelConfig): + """Email channel configuration (multi-channel support).""" + + type: ChannelType = ChannelType.EMAIL + consent_granted: bool = False + imap_host: str = "" + imap_port: int = 993 + imap_username: str = "" + imap_password: str = "" + imap_mailbox: str = "INBOX" + imap_use_ssl: bool = True + smtp_host: str = "" + smtp_port: int = 587 + smtp_username: str = "" + smtp_password: str = "" + smtp_use_tls: bool = True + smtp_use_ssl: bool = False + from_address: str = "" + auto_reply_enabled: bool = True + poll_interval_seconds: int = 30 + mark_seen: bool = True + max_body_chars: int = 12000 + subject_prefix: str = "Re: " + allow_from: list[str] = Field(default_factory=list) + + def channel_id(self) -> str: + # Use from_address directly as the ID + return self.from_address + + +class SlackChannelConfig(BaseChannelConfig): + """Slack channel configuration (multi-channel support).""" + + type: ChannelType = ChannelType.SLACK + mode: str = "socket" + webhook_path: str = "/slack/events" + bot_token: str = "" + app_token: str = "" + user_token_read_only: bool = True + group_policy: str = "mention" + group_allow_from: list[str] = Field(default_factory=list) + dm: SlackDMConfig = Field(default_factory=SlackDMConfig) + + def channel_id(self) -> str: + # Use first 20 chars of bot_token as ID + return self.bot_token[:20] if self.bot_token else "slack" + + +class QQChannelConfig(BaseChannelConfig): + """QQ channel configuration (multi-channel support).""" + + type: ChannelType = ChannelType.QQ + app_id: str = "" + secret: str = "" + allow_from: list[str] = Field(default_factory=list) + + def channel_id(self) -> str: + # Use app_id directly as the ID + return self.app_id + + +class ChannelsConfig(BaseModel): + """Configuration for chat channels - array of channel configs.""" + + channels: list[Any] = Field(default_factory=list) + + def _parse_channel_config(self, config: dict[str, Any]) -> BaseChannelConfig: + """Parse a single channel config dict into the appropriate type.""" + channel_type = config.get("type") + + # Handle both snake_case and camelCase for feishu + if "appId" in config and "app_id" not in config: + config["app_id"] = config.pop("appId") + if "appSecret" in config and "app_secret" not in config: + config["app_secret"] = config.pop("appSecret") + if "encryptKey" in config and "encrypt_key" not in config: + config["encrypt_key"] = config.pop("encryptKey") + if "verificationToken" in config and "verification_token" not in config: + config["verification_token"] = config.pop("verificationToken") + + # Handle camelCase for other fields + if "allowFrom" in config and "allow_from" not in config: + config["allow_from"] = config.pop("allowFrom") + if "bridgeUrl" in config and "bridge_url" not in config: + config["bridge_url"] = config.pop("bridgeUrl") + if "bridgeToken" in config and "bridge_token" not in config: + config["bridge_token"] = config.pop("bridgeToken") + if "clientId" in config and "client_id" not in config: + config["client_id"] = config.pop("clientId") + if "clientSecret" in config and "client_secret" not in config: + config["client_secret"] = config.pop("clientSecret") + if "consentGranted" in config and "consent_granted" not in config: + config["consent_granted"] = config.pop("consentGranted") + if "imapHost" in config and "imap_host" not in config: + config["imap_host"] = config.pop("imapHost") + if "imapPort" in config and "imap_port" not in config: + config["imap_port"] = config.pop("imapPort") + if "imapUsername" in config and "imap_username" not in config: + config["imap_username"] = config.pop("imapUsername") + if "imapPassword" in config and "imap_password" not in config: + config["imap_password"] = config.pop("imapPassword") + if "imapMailbox" in config and "imap_mailbox" not in config: + config["imap_mailbox"] = config.pop("imapMailbox") + if "imapUseSsl" in config and "imap_use_ssl" not in config: + config["imap_use_ssl"] = config.pop("imapUseSsl") + if "smtpHost" in config and "smtp_host" not in config: + config["smtp_host"] = config.pop("smtpHost") + if "smtpPort" in config and "smtp_port" not in config: + config["smtp_port"] = config.pop("smtpPort") + if "smtpUsername" in config and "smtp_username" not in config: + config["smtp_username"] = config.pop("smtpUsername") + if "smtpPassword" in config and "smtp_password" not in config: + config["smtp_password"] = config.pop("smtpPassword") + if "smtpUseTls" in config and "smtp_use_tls" not in config: + config["smtp_use_tls"] = config.pop("smtpUseTls") + if "smtpUseSsl" in config and "smtp_use_ssl" not in config: + config["smtp_use_ssl"] = config.pop("smtpUseSsl") + if "fromAddress" in config and "from_address" not in config: + config["from_address"] = config.pop("fromAddress") + if "autoReplyEnabled" in config and "auto_reply_enabled" not in config: + config["auto_reply_enabled"] = config.pop("autoReplyEnabled") + if "pollIntervalSeconds" in config and "poll_interval_seconds" not in config: + config["poll_interval_seconds"] = config.pop("pollIntervalSeconds") + if "markSeen" in config and "mark_seen" not in config: + config["mark_seen"] = config.pop("markSeen") + if "maxBodyChars" in config and "max_body_chars" not in config: + config["max_body_chars"] = config.pop("maxBodyChars") + if "subjectPrefix" in config and "subject_prefix" not in config: + config["subject_prefix"] = config.pop("subjectPrefix") + if "botToken" in config and "bot_token" not in config: + config["bot_token"] = config.pop("botToken") + if "appToken" in config and "app_token" not in config: + config["app_token"] = config.pop("appToken") + if "userTokenReadOnly" in config and "user_token_read_only" not in config: + config["user_token_read_only"] = config.pop("userTokenReadOnly") + if "groupPolicy" in config and "group_policy" not in config: + config["group_policy"] = config.pop("groupPolicy") + if "groupAllowFrom" in config and "group_allow_from" not in config: + config["group_allow_from"] = config.pop("groupAllowFrom") + + if channel_type == ChannelType.TELEGRAM: + return TelegramChannelConfig(**config) + elif channel_type == ChannelType.FEISHU: + return FeishuChannelConfig(**config) + elif channel_type == ChannelType.DISCORD: + return DiscordChannelConfig(**config) + elif channel_type == ChannelType.WHATSAPP: + return WhatsAppChannelConfig(**config) + elif channel_type == ChannelType.MOCHAT: + return MochatChannelConfig(**config) + elif channel_type == ChannelType.DINGTALK: + return DingTalkChannelConfig(**config) + elif channel_type == ChannelType.EMAIL: + return EmailChannelConfig(**config) + elif channel_type == ChannelType.SLACK: + return SlackChannelConfig(**config) + elif channel_type == ChannelType.QQ: + return QQChannelConfig(**config) + else: + return BaseChannelConfig(**config) + + def get_all_channels(self) -> list[BaseChannelConfig]: + """Get all channel configs.""" + result = [] + for item in self.channels: + if isinstance(item, dict): + result.append(self._parse_channel_config(item)) + elif isinstance(item, BaseChannelConfig): + result.append(item) + return result + + +class AgentDefaults(BaseModel): + """Default agent configuration.""" + + workspace: str = "~/.vikingbot/workspace" + model: str = "openai/doubao-seed-2-0-pro-260215" + max_tokens: int = 8192 + temperature: float = 0.7 + max_tool_iterations: int = 50 + memory_window: int = 50 + gen_image_model: str = "openai/doubao-seedream-4-5-251128" + + +class AgentsConfig(BaseModel): + """Agent configuration.""" + + defaults: AgentDefaults = Field(default_factory=AgentDefaults) + + +class ProviderConfig(BaseModel): + """LLM provider configuration.""" + + api_key: str = "" + api_base: str | None = None + extra_headers: dict[str, str] | None = None # Custom headers (e.g. APP-Code for AiHubMix) + + +class ProvidersConfig(BaseModel): + """Configuration for LLM providers.""" + + anthropic: ProviderConfig = Field(default_factory=ProviderConfig) + openai: ProviderConfig = Field(default_factory=ProviderConfig) + openrouter: ProviderConfig = Field(default_factory=ProviderConfig) + deepseek: ProviderConfig = Field(default_factory=ProviderConfig) + groq: ProviderConfig = Field(default_factory=ProviderConfig) + zhipu: ProviderConfig = Field(default_factory=ProviderConfig) + dashscope: ProviderConfig = Field(default_factory=ProviderConfig) # 阿里云通义千问 + vllm: ProviderConfig = Field(default_factory=ProviderConfig) + gemini: ProviderConfig = Field(default_factory=ProviderConfig) + moonshot: ProviderConfig = Field(default_factory=ProviderConfig) + minimax: ProviderConfig = Field(default_factory=ProviderConfig) + volcengine: ProviderConfig = Field( + default_factory=ProviderConfig + ) # VolcEngine (火山引擎) API gateway + aihubmix: ProviderConfig = Field(default_factory=ProviderConfig) # AiHubMix API gateway + + +class HeartbeatConfig(BaseModel): + """Heartbeat service configuration.""" + + enabled: bool = True + interval_seconds: int = 10 * 60 # Default: 5 minutes + + +class GatewayConfig(BaseModel): + """Gateway/server configuration.""" + + host: str = "0.0.0.0" + port: int = 18790 + + +class WebSearchConfig(BaseModel): + """Web search tool configuration.""" + + api_key: str = "" # Brave Search API key + max_results: int = 5 + + +class OpenVikingConfig(BaseModel): + """Viking tools configuration.""" + + mode: str = "local" # local or remote + server_url: str = "" + user_id: str = "" + api_key: str = "" + + +class WebToolsConfig(BaseModel): + """Web tools configuration.""" + + search: WebSearchConfig = Field(default_factory=WebSearchConfig) + + +class ExecToolConfig(BaseModel): + """Shell exec tool configuration.""" + + timeout: int = 60 + + +class ToolsConfig(BaseModel): + """Tools configuration.""" + + web: WebToolsConfig = Field(default_factory=WebToolsConfig) + exec: ExecToolConfig = Field(default_factory=ExecToolConfig) + + +class SandboxNetworkConfig(BaseModel): + """Sandbox network configuration. + + SRT uses allow-only pattern: all network access is denied by default. + You must explicitly allow domains. + + - allowed_domains: List of allowed domains (supports wildcards like "*.example.com") + - denied_domains: List of denied domains (checked first, takes precedence over allowed_domains) + - allow_local_binding: Allow binding to local ports + """ + + allowed_domains: list[str] = Field(default_factory=list) + denied_domains: list[str] = Field(default_factory=list) + allow_local_binding: bool = False + + +class SandboxFilesystemConfig(BaseModel): + """Sandbox filesystem configuration.""" + + deny_read: list[str] = Field(default_factory=list) + allow_write: list[str] = Field(default_factory=list) + deny_write: list[str] = Field(default_factory=list) + + +class SandboxRuntimeConfig(BaseModel): + """Sandbox runtime configuration.""" + + cleanup_on_exit: bool = True + timeout: int = 300 + + +class DirectBackendConfig(BaseModel): + """Direct backend configuration.""" + + restrict_to_workspace: bool = False # If true, restrict file access to workspace directory + + +class SrtBackendConfig(BaseModel): + """SRT backend configuration.""" + + settings_path: str = "~/.vikingbot/srt-settings.json" + node_path: str = "node" + network: SandboxNetworkConfig = Field(default_factory=SandboxNetworkConfig) + filesystem: SandboxFilesystemConfig = Field(default_factory=SandboxFilesystemConfig) + runtime: SandboxRuntimeConfig = Field(default_factory=SandboxRuntimeConfig) + + +class DockerBackendConfig(BaseModel): + """Docker backend configuration.""" + + image: str = "python:3.11-slim" + network_mode: str = "bridge" + + +class OpenSandboxNetworkConfig(BaseModel): + """OpenSandbox network configuration.""" + + allowed_domains: list[str] = Field(default_factory=list) + denied_domains: list[str] = Field(default_factory=list) + + +class OpenSandboxRuntimeConfig(BaseModel): + """OpenSandbox runtime configuration.""" + + timeout: int = 300 + cpu: str = "500m" + memory: str = "1Gi" + + +class OpenSandboxBackendConfig(BaseModel): + """OpenSandbox backend configuration. + + Auto-detects runtime environment: + - Local: uses configured server_url (default http://localhost:18792) + - VKE: auto-detects KUBERNETES_SERVICE_HOST, uses http://opensandbox-server:8080 + """ + + server_url: str = "http://localhost:18792" + api_key: str = "" + default_image: str = "opensandbox/code-interpreter:v1.0.1" + network: OpenSandboxNetworkConfig = Field(default_factory=OpenSandboxNetworkConfig) + runtime: OpenSandboxRuntimeConfig = Field(default_factory=OpenSandboxRuntimeConfig) + + +class AioSandboxBackendConfig(BaseModel): + """AIO Sandbox backend configuration.""" + + base_url: str = "http://localhost:18794" + + +class SandboxBackendsConfig(BaseModel): + """Sandbox backends configuration.""" + + srt: SrtBackendConfig = Field(default_factory=SrtBackendConfig) + docker: DockerBackendConfig = Field(default_factory=DockerBackendConfig) + opensandbox: OpenSandboxBackendConfig = Field(default_factory=OpenSandboxBackendConfig) + direct: DirectBackendConfig = Field(default_factory=DirectBackendConfig) + aiosandbox: AioSandboxBackendConfig = Field(default_factory=AioSandboxBackendConfig) + + +class SandboxConfig(BaseModel): + """Sandbox configuration.""" + + backend: SandboxBackend = SandboxBackend.DIRECT + mode: SandboxMode = SandboxMode.SHARED + backends: SandboxBackendsConfig = Field(default_factory=SandboxBackendsConfig) + + +class Config(BaseSettings): + """Root configuration for vikingbot.""" + + agents: AgentsConfig = Field(default_factory=AgentsConfig) + channels: list[Any] = Field(default_factory=list) + providers: ProvidersConfig = Field(default_factory=ProvidersConfig) + gateway: GatewayConfig = Field(default_factory=GatewayConfig) + tools: ToolsConfig = Field(default_factory=ToolsConfig) + openviking: OpenVikingConfig = Field(default_factory=OpenVikingConfig) + sandbox: SandboxConfig = Field(default_factory=SandboxConfig) + heartbeat: HeartbeatConfig = Field(default_factory=HeartbeatConfig) + hooks: list[str] = Field(["vikingbot.hooks.builtins.openviking_hooks.hooks"]) + skills: list[str] = Field( + default_factory=lambda: [ + "github-proxy", + "github", + "memory", + "cron", + "weather", + "tmux", + "skill-creator", + "summarize", + ] + ) + + @property + def channels_config(self) -> ChannelsConfig: + """Get channels config wrapper.""" + config = ChannelsConfig() + config.channels = self.channels + return config + + @property + def workspace_path(self) -> Path: + """Get expanded workspace path.""" + return Path(self.agents.defaults.workspace).expanduser() + + def _match_provider( + self, model: str | None = None + ) -> tuple["ProviderConfig | None", str | None]: + """Match provider config and its registry name. Returns (config, spec_name).""" + from vikingbot.providers.registry import PROVIDERS + + model_lower = (model or self.agents.defaults.model).lower() + + # Match by keyword (order follows PROVIDERS registry) + for spec in PROVIDERS: + p = getattr(self.providers, spec.name, None) + if p and any(kw in model_lower for kw in spec.keywords) and p.api_key: + return p, spec.name + + # Fallback: gateways first, then others (follows registry order) + for spec in PROVIDERS: + p = getattr(self.providers, spec.name, None) + if p and p.api_key: + return p, spec.name + return None, None + + def get_provider(self, model: str | None = None) -> ProviderConfig | None: + """Get matched provider config (api_key, api_base, extra_headers). Falls back to first available.""" + p, _ = self._match_provider(model) + return p + + def get_provider_name(self, model: str | None = None) -> str | None: + """Get the registry name of the matched provider (e.g. "deepseek", "openrouter").""" + _, name = self._match_provider(model) + return name + + def get_api_key(self, model: str | None = None) -> str | None: + """Get API key for the given model. Falls back to first available key.""" + p = self.get_provider(model) + return p.api_key if p else None + + def get_api_base(self, model: str | None = None) -> str | None: + """Get API base URL for the given model. Applies default URLs for known gateways.""" + from vikingbot.providers.registry import find_by_name + + p, name = self._match_provider(model) + if p and p.api_base: + return p.api_base + # Only gateways get a default api_base here. Standard providers + # (like Moonshot) set their base URL via env vars in _setup_env + # to avoid polluting the global litellm.api_base. + if name: + spec = find_by_name(name) + if spec and spec.is_gateway and spec.default_api_base: + return spec.default_api_base + return None + + model_config = SettingsConfigDict(env_prefix="NANOBOT_", env_nested_delimiter="__") + + +class SessionKey(BaseModel): + model_config = ConfigDict(frozen=True) + type: str + channel_id: str + chat_id: str + + def __hash__(self): + return hash((self.type, self.channel_id, self.chat_id)) + + def safe_name(self): + return f"{self.type}__{self.channel_id}__{self.chat_id}" + + def channel_key(self): + return f"{self.type}__{self.channel_id}" + + @staticmethod + def from_safe_name(safe_name: str): + file_name_split = safe_name.split("__") + return SessionKey( + type=file_name_split[0], channel_id=file_name_split[1], chat_id=file_name_split[2] + ) diff --git a/bot/vikingbot/console/README_GRADIO.md b/bot/vikingbot/console/README_GRADIO.md new file mode 100644 index 00000000..60c2b340 --- /dev/null +++ b/bot/vikingbot/console/README_GRADIO.md @@ -0,0 +1,41 @@ + +# Vikingbot Console - Gradio 版本 + +使用 Gradio 实现的纯 Python 控制台界面。 + +## 运行 + +```bash +vikingbot gateway +``` + +这会自动在 http://localhost:18791 启动控制台 Web UI! + +## 功能 + +### 1. Dashboard +- 显示系统状态 +- 版本信息 +- 配置路径和工作区路径 + +### 2. Config +- **Skills & Hooks**: 独立标签页 +- **Agents / Providers / Channels / Gateway / Tools / Sandbox / Heartbeat**: 每个在自己的标签页中 + - Agents: 展开 AgentDefaults + - Providers: 每个 provider 在自己的子标签页中 + - Sandbox: backends 在自己的子标签页中 + - Channels: JSON 编辑器(可配置多个 channel) + - Enums: 使用下拉框(SandboxBackend, SandboxMode) + +### 3. Sessions +- 刷新按钮:加载会话列表 +- 会话选择:选择会话查看内容 +- 会话内容显示: + - 用户消息:绿色 + - 助手消息:红色 + - 其他消息:黑色 + +### 4. Workspace +- 使用 Gradio 的 FileExplorer 组件 +- 显示工作区文件树 +- 选择文件查看内容 diff --git a/bot/vikingbot/console/__init__.py b/bot/vikingbot/console/__init__.py new file mode 100644 index 00000000..d6b6ca1f --- /dev/null +++ b/bot/vikingbot/console/__init__.py @@ -0,0 +1,3 @@ +"""Vikingbot Console - Web管理界面""" + +__version__ = "1.0.0" diff --git a/bot/vikingbot/console/console_gradio_simple.py b/bot/vikingbot/console/console_gradio_simple.py new file mode 100644 index 00000000..ef39c2c7 --- /dev/null +++ b/bot/vikingbot/console/console_gradio_simple.py @@ -0,0 +1,432 @@ +import json +import sys +import os +from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple + +import gradio as gr + +from vikingbot.config.loader import load_config, save_config +from vikingbot.config.schema import Config, ChannelType, SandboxBackend, SandboxMode + + +def resolve_schema_ref( + schema: Dict[str, Any], ref: str, root_schema: Dict[str, Any] +) -> Dict[str, Any]: + if ref.startswith("#/$defs/"): + def_name = ref[len("#/$defs/") :] + return root_schema["$defs"].get(def_name, {}) + return schema + + +def get_effective_schema(field_info: Dict[str, Any], root_schema: Dict[str, Any]) -> Dict[str, Any]: + if "$ref" in field_info: + return get_effective_schema( + resolve_schema_ref(field_info, field_info["$ref"], root_schema), root_schema + ) + return field_info + + +def create_dashboard_tab(): + with gr.Tab("Dashboard"): + from vikingbot import __version__ + + config = load_config() + gr.Markdown("# ⚓ Vikingbot Console") + gr.Markdown(f""" + | Status | Value | + |--------|-------| + | 🟢 Status | Running | + | 📦 Version | {__version__} | + | 📁 Config Path | {str(config.workspace_path.parent / "config.json")} | + | 🖥️ Workspace Path | {str(config.workspace_path)} | + """) + + +def create_field_group( + field_name: str, + field_info: Dict[str, Any], + current_value: Any, + parent_path: str = "", + root_schema: Optional[Dict[str, Any]] = None, +) -> Tuple[List, Dict[str, Any]]: + if root_schema is None: + root_schema = Config.model_json_schema() + + field_path = f"{parent_path}.{field_name}" if parent_path else field_name + + tab_paths = {"providers", "sandbox.backends"} + + effective_field_info = get_effective_schema(field_info, root_schema) + description = effective_field_info.get("description", "") + title = effective_field_info.get("title", field_name.replace("_", " ").title()) + components = [] + field_metadata = {} + + field_type = effective_field_info.get("type", "string") + enum_values = effective_field_info.get("enum") + + if enum_values: + dropdown = gr.Dropdown( + choices=enum_values, + value=current_value, + label=title, + elem_id=f"field_{field_path.replace('.', '_')}", + ) + components.append(dropdown) + field_metadata[field_path] = {"type": "enum"} + elif field_type == "object" and "properties" in effective_field_info: + properties = list(effective_field_info["properties"].items()) + if field_path in tab_paths and len(properties) > 1: + with gr.Tab(title): + if description: + gr.Markdown(f"*{description}*") + with gr.Tabs(): + for nested_field_name, nested_field_info in properties: + with gr.Tab( + nested_field_info.get( + "title", nested_field_name.replace("_", " ").title() + ) + ): + nested_value = ( + current_value.get(nested_field_name, None) + if current_value + else None + ) + nested_components, nested_metadata = create_field_group( + nested_field_name, + nested_field_info, + nested_value, + field_path, + root_schema, + ) + components.extend(nested_components) + field_metadata.update(nested_metadata) + else: + with gr.Group(): + gr.Markdown(f"### {title}") + if description: + gr.Markdown(f"*{description}*") + for nested_field_name, nested_field_info in properties: + nested_value = ( + current_value.get(nested_field_name, None) if current_value else None + ) + nested_components, nested_metadata = create_field_group( + nested_field_name, nested_field_info, nested_value, field_path, root_schema + ) + components.extend(nested_components) + field_metadata.update(nested_metadata) + elif field_type == "array": + items_info = effective_field_info.get("items", {}) + effective_items_info = get_effective_schema(items_info, root_schema) + items_type = effective_items_info.get("type", "string") + use_textbox = False + if items_type == "string" and not ( + "properties" in effective_items_info or items_type == "object" + ): + current_list = current_value or [] + if all(isinstance(item, str) for item in current_list): + use_textbox = True + + if use_textbox: + current_list = current_value or [] + value = "\n".join(current_list) if current_list else "" + textbox = gr.Textbox( + value=value, + label=f"{title} (one per line)", + lines=3, + elem_id=f"field_{field_path.replace('.', '_')}", + ) + components.append(textbox) + field_metadata[field_path] = {"type": "array", "items_type": "string"} + else: + value = json.dumps(current_value, indent=2) if current_value else "" + code = gr.Code( + value=value, + label=title, + language="json", + elem_id=f"field_{field_path.replace('.', '_')}", + ) + components.append(code) + field_metadata[field_path] = {"type": "array", "items_type": "json"} + elif field_type == "integer": + number = gr.Number( + value=current_value, label=title, elem_id=f"field_{field_path.replace('.', '_')}" + ) + components.append(number) + field_metadata[field_path] = {"type": "integer"} + elif field_type == "number": + number = gr.Number( + value=current_value, label=title, elem_id=f"field_{field_path.replace('.', '_')}" + ) + components.append(number) + field_metadata[field_path] = {"type": "number"} + elif field_type == "boolean": + checkbox = gr.Checkbox( + value=current_value or False, + label=title, + elem_id=f"field_{field_path.replace('.', '_')}", + ) + components.append(checkbox) + field_metadata[field_path] = {"type": "boolean"} + else: + textbox = gr.Textbox( + value=current_value or "", label=title, elem_id=f"field_{field_path.replace('.', '_')}" + ) + components.append(textbox) + field_metadata[field_path] = {"type": "string"} + + return components, field_metadata + + +def collect_values_from_components( + components, schema, parent_path: str = "", root_schema: Optional[Dict[str, Any]] = None +) -> Tuple[Dict[str, Any], int]: + if root_schema is None: + root_schema = Config.model_json_schema() + + result = {} + comp_idx = 0 + + for field_name, field_info in schema.get("properties", {}).items(): + field_path = f"{parent_path}.{field_name}" if parent_path else field_name + effective_field_info = get_effective_schema(field_info, root_schema) + field_type = effective_field_info.get("type", "string") + + if field_type == "object" and "properties" in effective_field_info: + nested_result, num_consumed = collect_values_from_components( + components[comp_idx:], effective_field_info, field_path, root_schema + ) + result[field_name] = nested_result + comp_idx += num_consumed + else: + component = components[comp_idx] + comp_idx += 1 + + if hasattr(component, "value"): + value = component.value + + if field_type == "array": + items_info = effective_field_info.get("items", {}) + effective_items_info = get_effective_schema(items_info, root_schema) + items_type = effective_items_info.get("type", "string") + if items_type == "string" and isinstance(value, str): + value = [line.strip() for line in value.split("\n") if line.strip()] + elif isinstance(value, str): + try: + value = json.loads(value) + except: + value = [] + + result[field_name] = value + + return result, comp_idx + + +def create_config_tabs(): + config = load_config() + config_dict = config.model_dump() + schema = Config.model_json_schema() + + all_components = [] + component_metadata = {} + + top_level_fields = list(schema["properties"].keys()) + + with gr.Tabs(): + for field_name in top_level_fields: + if field_name in schema["properties"]: + with gr.Tab( + schema["properties"][field_name].get( + "title", field_name.replace("_", " ").title() + ) + ): + gr.Markdown( + f"## {schema['properties'][field_name].get('title', field_name.replace('_', ' ').title())}" + ) + field_info = schema["properties"][field_name] + current_value = config_dict.get(field_name, None) + components, metadata = create_field_group( + field_name, field_info, current_value, root_schema=schema + ) + all_components.extend(components) + component_metadata.update(metadata) + + save_btn = gr.Button("Save Config", variant="primary") + status_msg = gr.Markdown("") + + def save_config_fn(*args): + try: + config_dict = load_config().model_dump() + + remaining_args = list(args) + comp_idx = 0 + + for field_name in top_level_fields: + if field_name in schema["properties"]: + field_info = schema["properties"][field_name] + field_result, num_consumed = collect_values_from_components( + remaining_args[comp_idx:], field_info, root_schema=schema + ) + config_dict[field_name] = field_result + comp_idx += num_consumed + + config = Config(**config_dict) + save_config(config) + return "✓ Config saved successfully! Please restart the gateway service for changes to take effect." + except Exception as e: + return f"✗ Error: {str(e)}" + + save_btn.click(fn=save_config_fn, inputs=all_components, outputs=status_msg) + + +def create_sessions_tab(): + with gr.Tab("Sessions"): + gr.Markdown("## Sessions") + + with gr.Row(): + with gr.Column(scale=1): + session_list = gr.Dropdown( + choices=[], + label="Select Session", + info="Click Refresh to load sessions", + allow_custom_value=True, + ) + refresh_btn = gr.Button("Refresh Sessions") + + with gr.Column(scale=2): + session_content = gr.HTML(value="", label="Session Content") + status_msg = gr.Markdown("") + + def refresh_sessions(): + sessions_dir = Path.home() / ".vikingbot" / "sessions" + if not sessions_dir.exists(): + return gr.Dropdown(choices=[], value=None), "" + session_files = list(sessions_dir.glob("*.jsonl")) + list(sessions_dir.glob("*.json")) + session_names = [f.stem for f in session_files] + return gr.Dropdown(choices=session_names, value=None), "" + + def load_session(session_name): + if not session_name: + return "", "Please select a session" + sessions_dir = Path.home() / ".vikingbot" / "sessions" + session_file_jsonl = sessions_dir / f"{session_name}.jsonl" + session_file_json = sessions_dir / f"{session_name}.json" + + lines = [] + if session_file_jsonl.exists(): + with open(session_file_jsonl, "r") as f: + for line in f: + line = line.strip() + if not line: + continue + try: + data = json.loads(line) + role = data.get("role", "") + content = data.get("content", "") + if role == "user": + lines.append( + f'
User: {content}
' + ) + elif role == "assistant": + lines.append( + f'
Assistant: {content}
' + ) + else: + lines.append( + f'
{role}: {content}
' + ) + except: + lines.append(f'
{line}
') + elif session_file_json.exists(): + with open(session_file_json, "r") as f: + return f.read(), "" + else: + return "Session not found", "" + return "
".join(lines), "" + + refresh_btn.click(fn=refresh_sessions, outputs=[session_list, status_msg]) + + session_list.change( + fn=load_session, inputs=session_list, outputs=[session_content, status_msg] + ) + + +def create_workspace_tab(): + with gr.Tab("Workspace"): + gr.Markdown("## Workspace") + config = load_config() + workspace_path = config.workspace_path + # Create workspace directory if it doesn't exist + workspace_path.mkdir(parents=True, exist_ok=True) + workspace_path_str = str(workspace_path) + + with gr.Row(): + with gr.Column(scale=1): + file_explorer = gr.FileExplorer( + root_dir=workspace_path_str, + label="Workspace File Explorer", + file_count="single", + ) + + with gr.Column(scale=2): + file_content = gr.Code( + value="", label="File Content", language="python", interactive=False + ) + status_msg = gr.Markdown("") + + def load_file_content(selected_file): + if not selected_file: + return "", "Please select a file to view" + + if Path(selected_file).is_file(): + try: + with open(selected_file, "r") as f: + return f.read(), f"Loaded {Path(selected_file).name}" + except: + return "Cannot read file (binary or encoding error)", "" + elif Path(selected_file).is_dir(): + return "", f"{Path(selected_file).name} is a directory" + return "", "File not found" + + file_explorer.change( + fn=load_file_content, inputs=file_explorer, outputs=[file_content, status_msg] + ) + + +with gr.Blocks(title="Vikingbot Console") as demo: + with gr.Tabs(): + create_dashboard_tab() + with gr.Tab("Config"): + create_config_tabs() + create_sessions_tab() + create_workspace_tab() + + +if __name__ == "__main__": + import uvicorn + from fastapi import FastAPI + + port = 18791 + if len(sys.argv) > 1: + try: + port = int(sys.argv[1]) + except ValueError: + pass + + # Create FastAPI app for health endpoint + app = FastAPI() + + # Add /health endpoint + @app.get("/health") + async def health_endpoint(): + from vikingbot import __version__ + + return {"status": "healthy", "version": __version__} + + # Mount Gradio app + demo.queue() + app = gr.mount_gradio_app(app, demo, path="/") + + # Launch with uvicorn + uvicorn.run(app, host="0.0.0.0", port=port) diff --git a/bot/vikingbot/cron/__init__.py b/bot/vikingbot/cron/__init__.py new file mode 100644 index 00000000..0200fa88 --- /dev/null +++ b/bot/vikingbot/cron/__init__.py @@ -0,0 +1,6 @@ +"""Cron service for scheduled agent tasks.""" + +from vikingbot.cron.service import CronService +from vikingbot.cron.types import CronJob, CronSchedule + +__all__ = ["CronService", "CronJob", "CronSchedule"] diff --git a/bot/vikingbot/cron/service.py b/bot/vikingbot/cron/service.py new file mode 100644 index 00000000..20ed25c0 --- /dev/null +++ b/bot/vikingbot/cron/service.py @@ -0,0 +1,350 @@ +"""Cron service for scheduling agent tasks.""" + +import asyncio +import json +import time +import uuid +from pathlib import Path +from typing import Any, Callable, Coroutine + +from loguru import logger + +from vikingbot.config.schema import SessionKey +from vikingbot.cron.types import CronJob, CronJobState, CronPayload, CronSchedule, CronStore + + +def _now_ms() -> int: + return int(time.time() * 1000) + + +def _compute_next_run(schedule: CronSchedule, now_ms: int) -> int | None: + """Compute next run time in ms.""" + if schedule.kind == "at": + return schedule.at_ms if schedule.at_ms and schedule.at_ms > now_ms else None + + if schedule.kind == "every": + if not schedule.every_ms or schedule.every_ms <= 0: + return None + # Next interval from now + return now_ms + schedule.every_ms + + if schedule.kind == "cron" and schedule.expr: + try: + from croniter import croniter + + cron = croniter(schedule.expr, time.time()) + next_time = cron.get_next() + return int(next_time * 1000) + except Exception: + return None + + return None + + +class CronService: + """Service for managing and executing scheduled jobs.""" + + def __init__( + self, + store_path: Path, + on_job: Callable[[CronJob], Coroutine[Any, Any, str | None]] | None = None, + ): + self.store_path = store_path + self.on_job = on_job # Callback to execute job, returns response text + self._store: CronStore | None = None + self._timer_task: asyncio.Task | None = None + self._running = False + + def _load_store(self) -> CronStore: + """Load jobs from disk.""" + if self._store: + return self._store + + if self.store_path.exists(): + try: + data = json.loads(self.store_path.read_text()) + jobs = [] + for j in data.get("jobs", []): + jobs.append( + CronJob( + id=j["id"], + name=j["name"], + enabled=j.get("enabled", True), + schedule=CronSchedule( + kind=j["schedule"]["kind"], + at_ms=j["schedule"].get("atMs"), + every_ms=j["schedule"].get("everyMs"), + expr=j["schedule"].get("expr"), + tz=j["schedule"].get("tz"), + ), + payload=CronPayload( + kind=j["payload"].get("kind", "agent_turn"), + message=j["payload"].get("message", ""), + deliver=j["payload"].get("deliver", False), + session_key_str=j["payload"].get("session_key_str"), + ), + state=CronJobState( + next_run_at_ms=j.get("state", {}).get("nextRunAtMs"), + last_run_at_ms=j.get("state", {}).get("lastRunAtMs"), + last_status=j.get("state", {}).get("lastStatus"), + last_error=j.get("state", {}).get("lastError"), + ), + created_at_ms=j.get("createdAtMs", 0), + updated_at_ms=j.get("updatedAtMs", 0), + delete_after_run=j.get("deleteAfterRun", False), + ) + ) + self._store = CronStore(jobs=jobs) + except Exception as e: + logger.warning(f"Failed to load cron store: {e}") + self._store = CronStore() + else: + self._store = CronStore() + + return self._store + + def _save_store(self) -> None: + """Save jobs to disk.""" + if not self._store: + return + + self.store_path.parent.mkdir(parents=True, exist_ok=True) + + data = { + "version": self._store.version, + "jobs": [ + { + "id": j.id, + "name": j.name, + "enabled": j.enabled, + "schedule": { + "kind": j.schedule.kind, + "atMs": j.schedule.at_ms, + "everyMs": j.schedule.every_ms, + "expr": j.schedule.expr, + "tz": j.schedule.tz, + }, + "payload": { + "kind": j.payload.kind, + "message": j.payload.message, + "deliver": j.payload.deliver, + "session_key_str": j.payload.session_key_str, + }, + "state": { + "nextRunAtMs": j.state.next_run_at_ms, + "lastRunAtMs": j.state.last_run_at_ms, + "lastStatus": j.state.last_status, + "lastError": j.state.last_error, + }, + "createdAtMs": j.created_at_ms, + "updatedAtMs": j.updated_at_ms, + "deleteAfterRun": j.delete_after_run, + } + for j in self._store.jobs + ], + } + + self.store_path.write_text(json.dumps(data, indent=2)) + + async def start(self) -> None: + """Start the cron service.""" + self._running = True + self._load_store() + self._recompute_next_runs() + self._save_store() + self._arm_timer() + logger.info( + f"Cron service started with {len(self._store.jobs if self._store else [])} jobs" + ) + + def stop(self) -> None: + """Stop the cron service.""" + self._running = False + if self._timer_task: + self._timer_task.cancel() + self._timer_task = None + + def _recompute_next_runs(self) -> None: + """Recompute next run times for all enabled jobs.""" + if not self._store: + return + now = _now_ms() + for job in self._store.jobs: + if job.enabled: + job.state.next_run_at_ms = _compute_next_run(job.schedule, now) + + def _get_next_wake_ms(self) -> int | None: + """Get the earliest next run time across all jobs.""" + if not self._store: + return None + times = [ + j.state.next_run_at_ms for j in self._store.jobs if j.enabled and j.state.next_run_at_ms + ] + return min(times) if times else None + + def _arm_timer(self) -> None: + """Schedule the next timer tick.""" + if self._timer_task: + self._timer_task.cancel() + + next_wake = self._get_next_wake_ms() + if not next_wake or not self._running: + return + + delay_ms = max(0, next_wake - _now_ms()) + delay_s = delay_ms / 1000 + + async def tick(): + await asyncio.sleep(delay_s) + if self._running: + await self._on_timer() + + self._timer_task = asyncio.create_task(tick()) + + async def _on_timer(self) -> None: + """Handle timer tick - run due jobs.""" + if not self._store: + return + + now = _now_ms() + due_jobs = [ + j + for j in self._store.jobs + if j.enabled and j.state.next_run_at_ms and now >= j.state.next_run_at_ms + ] + + for job in due_jobs: + await self._execute_job(job) + + self._save_store() + self._arm_timer() + + async def _execute_job(self, job: CronJob) -> None: + """Execute a single job.""" + start_ms = _now_ms() + logger.info(f"Cron: executing job '{job.name}' ({job.id})") + + try: + response = None + if self.on_job: + response = await self.on_job(job) + + job.state.last_status = "ok" + job.state.last_error = None + logger.info(f"Cron: job '{job.name}' completed") + + except Exception as e: + job.state.last_status = "error" + job.state.last_error = str(e) + logger.exception(f"Cron: job '{job.name}' failed: {e}") + + job.state.last_run_at_ms = start_ms + job.updated_at_ms = _now_ms() + + # Handle one-shot jobs + if job.schedule.kind == "at": + if job.delete_after_run: + self._store.jobs = [j for j in self._store.jobs if j.id != job.id] + else: + job.enabled = False + job.state.next_run_at_ms = None + else: + # Compute next run + job.state.next_run_at_ms = _compute_next_run(job.schedule, _now_ms()) + + # ========== Public API ========== + + def list_jobs(self, include_disabled: bool = False) -> list[CronJob]: + """List all jobs.""" + store = self._load_store() + jobs = store.jobs if include_disabled else [j for j in store.jobs if j.enabled] + return sorted(jobs, key=lambda j: j.state.next_run_at_ms or float("inf")) + + def add_job( + self, + name: str, + schedule: CronSchedule, + message: str, + session_key: SessionKey, + deliver: bool = False, + delete_after_run: bool = False, + ) -> CronJob: + """Add a new job.""" + store = self._load_store() + now = _now_ms() + + job = CronJob( + id=str(uuid.uuid4())[:8], + name=name, + enabled=True, + schedule=schedule, + payload=CronPayload( + kind="agent_turn", + message=message, + deliver=deliver, + session_key_str=session_key.model_dump_json(), + ), + state=CronJobState(next_run_at_ms=_compute_next_run(schedule, now)), + created_at_ms=now, + updated_at_ms=now, + delete_after_run=delete_after_run, + ) + + store.jobs.append(job) + self._save_store() + self._arm_timer() + + logger.info(f"Cron: added job '{name}' ({job.id})") + return job + + def remove_job(self, job_id: str) -> bool: + """Remove a job by ID.""" + store = self._load_store() + before = len(store.jobs) + store.jobs = [j for j in store.jobs if j.id != job_id] + removed = len(store.jobs) < before + + if removed: + self._save_store() + self._arm_timer() + logger.info(f"Cron: removed job {job_id}") + + return removed + + def enable_job(self, job_id: str, enabled: bool = True) -> CronJob | None: + """Enable or disable a job.""" + store = self._load_store() + for job in store.jobs: + if job.id == job_id: + job.enabled = enabled + job.updated_at_ms = _now_ms() + if enabled: + job.state.next_run_at_ms = _compute_next_run(job.schedule, _now_ms()) + else: + job.state.next_run_at_ms = None + self._save_store() + self._arm_timer() + return job + return None + + async def run_job(self, job_id: str, force: bool = False) -> bool: + """Manually run a job.""" + store = self._load_store() + for job in store.jobs: + if job.id == job_id: + if not force and not job.enabled: + return False + await self._execute_job(job) + self._save_store() + self._arm_timer() + return True + return False + + def status(self) -> dict: + """Get service status.""" + store = self._load_store() + return { + "enabled": self._running, + "jobs": len(store.jobs), + "next_wake_at_ms": self._get_next_wake_ms(), + } diff --git a/bot/vikingbot/cron/types.py b/bot/vikingbot/cron/types.py new file mode 100644 index 00000000..3e7a7d72 --- /dev/null +++ b/bot/vikingbot/cron/types.py @@ -0,0 +1,65 @@ +"""Cron types.""" + +from dataclasses import dataclass, field +from typing import Literal + +from vikingbot.config.schema import SessionKey + + +@dataclass +class CronSchedule: + """Schedule definition for a cron job.""" + + kind: Literal["at", "every", "cron"] + # For "at": timestamp in ms + at_ms: int | None = None + # For "every": interval in ms + every_ms: int | None = None + # For "cron": cron expression (e.g. "0 9 * * *") + expr: str | None = None + # Timezone for cron expressions + tz: str | None = None + + +@dataclass +class CronPayload: + """What to do when the job runs.""" + + kind: Literal["system_event", "agent_turn"] = "agent_turn" + message: str = "" + # Deliver response to channel + deliver: bool = False + session_key_str: str | None = None # e.g. "whatsapp" + + +@dataclass +class CronJobState: + """Runtime state of a job.""" + + next_run_at_ms: int | None = None + last_run_at_ms: int | None = None + last_status: Literal["ok", "error", "skipped"] | None = None + last_error: str | None = None + + +@dataclass +class CronJob: + """A scheduled job.""" + + id: str + name: str + enabled: bool = True + schedule: CronSchedule = field(default_factory=lambda: CronSchedule(kind="every")) + payload: CronPayload = field(default_factory=CronPayload) + state: CronJobState = field(default_factory=CronJobState) + created_at_ms: int = 0 + updated_at_ms: int = 0 + delete_after_run: bool = False + + +@dataclass +class CronStore: + """Persistent store for cron jobs.""" + + version: int = 1 + jobs: list[CronJob] = field(default_factory=list) diff --git a/bot/vikingbot/heartbeat/__init__.py b/bot/vikingbot/heartbeat/__init__.py new file mode 100644 index 00000000..dc643626 --- /dev/null +++ b/bot/vikingbot/heartbeat/__init__.py @@ -0,0 +1,5 @@ +"""Heartbeat service for periodic agent wake-ups.""" + +from vikingbot.heartbeat.service import HeartbeatService + +__all__ = ["HeartbeatService"] diff --git a/bot/vikingbot/heartbeat/service.py b/bot/vikingbot/heartbeat/service.py new file mode 100644 index 00000000..aa860f6a --- /dev/null +++ b/bot/vikingbot/heartbeat/service.py @@ -0,0 +1,184 @@ +"""Heartbeat service - periodic agent wake-up to check for tasks.""" + +import asyncio +from pathlib import Path +from typing import Any, Callable, Coroutine, TYPE_CHECKING, Dict, List + +from loguru import logger + +from vikingbot.config.schema import SessionKey + + +from vikingbot.session.manager import SessionManager + +# Default interval: 30 minutes +DEFAULT_HEARTBEAT_INTERVAL_S = 30 * 60 + +# The prompt sent to agent during heartbeat +HEARTBEAT_PROMPT = """Read HEARTBEAT.md in your workspace (if it exists). +Follow any instructions or tasks listed there. +IMPORTANT: Use the 'message' tool to send any results or updates to the user. +If nothing needs attention, reply with just: HEARTBEAT_OK""" + +# Token that indicates "nothing to do" +HEARTBEAT_OK_TOKEN = "HEARTBEAT_OK" + + +def _is_heartbeat_empty(content: str | None) -> bool: + """Check if HEARTBEAT.md has no actionable content.""" + if not content: + return True + + # Lines to skip: empty, headers, HTML comments, empty checkboxes + skip_patterns = {"- [ ]", "* [ ]", "- [x]", "* [x]"} + + for line in content.split("\n"): + line = line.strip() + if not line or line.startswith("#") or line.startswith(" + + +## Completed + + + diff --git a/bot/workspace/SOUL.md b/bot/workspace/SOUL.md new file mode 100644 index 00000000..90bd17e4 --- /dev/null +++ b/bot/workspace/SOUL.md @@ -0,0 +1,21 @@ +# Soul + +I am vikingbot 🐈, a personal AI assistant. + +## Personality + +- Helpful and friendly +- Concise and to the point +- Curious and eager to learn + +## Values + +- Accuracy over speed +- User privacy and safety +- Transparency in actions + +## Communication Style + +- Be clear and direct +- Explain reasoning when helpful +- Ask clarifying questions when needed diff --git a/bot/workspace/TOOLS.md b/bot/workspace/TOOLS.md new file mode 100644 index 00000000..6e70d5b5 --- /dev/null +++ b/bot/workspace/TOOLS.md @@ -0,0 +1,250 @@ +# Available Tools + +**IMPORTANT: Always use OpenViking first for knowledge queries and memory storage** + +## OpenViking Knowledge Base (Use First) + +When querying information or files, **always use OpenViking tools first** before web search or other methods. + +### Search Resources +``` +openviking_search(query: str, target_uri: str = None) -> str +``` +Search for knowledge, documents, code, and resources in OpenViking. Use this as the first step for any information query. + +### Read Content +``` +openviking_read(uri: str, level: str = "abstract") -> str +``` +Read resource content from OpenViking. Levels: abstract (summary), overview, read (full content). + +### List Resources +``` +openviking_list(uri: str, recursive: bool = False) -> str +``` +List all resources at a specified path. + +### Search User Memories +``` +user_memory_search(query: str) -> str +``` +Search for user-related memories and events. + +### ⚠️ CRITICAL: Commit Memories and Events +``` +openviking_memory_commit(session_id: str, messages: list) -> str +``` +**All important conversations, events, and memories MUST be committed to OpenViking** for future retrieval and context understanding. + +--- + +## Shell Execution + +### exec +Execute a shell command and return output. +``` +exec(command: str, working_dir: str = None) -> str +``` + +**Safety Notes:** +- Commands have a configurable timeout (default 60s) +- Dangerous commands are blocked (rm -rf, format, dd, shutdown, etc.) +- Output is truncated at 10,000 characters +- Optional `restrictToWorkspace` config to limit paths + +## Web Access + +### web_search +Search the web using configurable backend (Brave Search, DuckDuckGo, or Exa). +``` +web_search(query: str, count: int = 5, type: str = None, livecrawl: str = None) -> str +``` + +Returns search results with titles, URLs, and snippets. Requires API key configuration. +- `count`: Number of results (1-20, default 5) +- `type` (Exa only): Search type - "auto", "fast", or "deep" +- `livecrawl` (Exa only): Live crawl mode - "fallback" or "preferred" + +### web_fetch +Fetch and extract main content from a URL. +``` +web_fetch(url: str, extractMode: str = "markdown", maxChars: int = 50000) -> str +``` + +**Notes:** +- Content is extracted using readability +- Supports markdown or plain text extraction +- Output is truncated at 50,000 characters by default + +## Image Generation + +### generate_image +Generate images from scratch, edit existing images, or create variations. +``` +generate_image( + mode: str = "generate", + prompt: str = None, + base_image: str = None, + mask: str = None, + size: str = "1920x1920", + quality: str = "standard", + style: str = "vivid", + n: int = 1 +) -> str +``` + +**Modes:** +- `generate`: Generate from scratch (requires `prompt`) +- `edit`: Edit existing image (requires `prompt` and `base_image`) +- `variation`: Create variations (requires `base_image`) + +**Parameters:** +- `base_image`: Base image for edit/variation: base64 data URI, URL, or file path +- `mask`: Mask image for edit mode (optional, transparent areas indicate where to edit +- `size`: Image size (only "1920x1920" supported) +- `quality`: "standard" or "hd" +- `style`: "vivid" or "natural" (DALL-E 3 only) +- `n`: Number of images (1-4) + +## Communication + +### message +Send a message to the user (used internally). +``` +message(content: str) -> str +``` + +## Background Tasks + +### spawn +Spawn a subagent to handle a task in the background. +``` +spawn(task: str, label: str = None) -> str +``` + +Use for complex or time-consuming tasks that can run independently. The subagent will complete the task and report back when done. + +## Scheduled Reminders (Cron) + +Use the `cron` tool to create scheduled reminders: + +### Set a recurring reminder +``` +# Every day at 9am +cron( + action="add", + name="morning", + message="Good morning! ☀️", + cron_expr="0 9 * * *" +) + +# Every 2 hours +cron( + action="add", + name="water", + message="Drink water! 💧", + every_seconds=7200 +) +``` + +### Set a one-time reminder +``` +# At a specific time (ISO format) +cron( + action="add", + name="meeting", + message="Meeting starts now!", + at="2025-01-31T15:00:00" +) +``` + +### Manage reminders +``` +# List all jobs +cron( + action="list" +) + +# Remove a job +cron( + action="remove", + job_id="" +) +``` + +## OpenViking Tools + +### openviking_read +Read content from OpenViking resources at different levels. +``` +openviking_read(uri: str, level: str = "abstract") -> str +``` + +**Levels:** +- `abstract`: L0 - Brief summary +- `overview`: L1 - Medium overview +- `read`: L2 - Full content + +### openviking_list +List resources in an OpenViking path. +``` +openviking_list(uri: str = "", recursive: bool = False) -> str +``` + +### openviking_search +Search for resources in OpenViking using semantic search. +``` +openviking_search(query: str, target_uri: str = None) -> str +``` + +### openviking_grep +Search OpenViking resources using regex patterns. +``` +openviking_grep(uri: str, pattern: str, case_insensitive: bool = False) -> str +``` + +### openviking_glob +Find OpenViking resources using glob patterns. +``` +openviking_glob(pattern: str, uri: str = "") -> str +``` + +### user_memory_search +Search for user memories in OpenViking. +``` +user_memory_search(query: str) -> str +``` + +## Heartbeat Task Management + +The `HEARTBEAT.md` file in the workspace is checked at regular intervals. +Use file operations to manage periodic tasks: + +### Add a heartbeat task +``` +# Append a new task +edit_file( + path="HEARTBEAT.md", + old_text="## Example Tasks", + new_text="- [ ] New periodic task here\n\n## Example Tasks" +) +``` + +### Remove a heartbeat task +``` +# Remove a specific task +edit_file( + path="HEARTBEAT.md", + old_text="- [ ] Task to remove\n", + new_text="" +) +``` + +### Rewrite all tasks +``` +# Replace the entire file +write_file( + path="HEARTBEAT.md", + content="# Heartbeat Tasks\n\n- [ ] Task 1\n- [ ] Task 2\n" +) +``` diff --git a/bot/workspace/USER.md b/bot/workspace/USER.md new file mode 100644 index 00000000..4b584813 --- /dev/null +++ b/bot/workspace/USER.md @@ -0,0 +1,49 @@ +# User Profile + +Information about the user to help personalize interactions. + +## Basic Information + +- **Name**: (your name) +- **Timezone**: (your timezone, e.g., UTC+8) +- **Language**: (preferred language) + +## Preferences + +### Communication Style + +- [ ] Casual +- [ ] Professional +- [ ] Technical + +### Response Length + +- [ ] Brief and concise +- [ ] Detailed explanations +- [ ] Adaptive based on question + +### Technical Level + +- [ ] Beginner +- [ ] Intermediate +- [ ] Expert + +## Work Context + +- **Primary Role**: (your role, e.g., developer, researcher) +- **Main Projects**: (what you're working on) +- **Tools You Use**: (IDEs, languages, frameworks) + +## Topics of Interest + +- +- +- + +## Special Instructions + +(Any specific instructions for how the assistant should behave) + +--- + +*Edit this file to customize vikingbot's behavior for your needs.* diff --git a/bot/workspace/memory/MEMORY.md b/bot/workspace/memory/MEMORY.md new file mode 100644 index 00000000..15c5d9b2 --- /dev/null +++ b/bot/workspace/memory/MEMORY.md @@ -0,0 +1,23 @@ +# Long-term Memory + +This file stores important information that should persist across sessions. + +## User Information + +(Important facts about the user) + +## Preferences + +(User preferences learned over time) + +## Project Context + +(Information about ongoing projects) + +## Important Notes + +(Things to remember) + +--- + +*This file is automatically updated by vikingbot when important information should be remembered.* diff --git a/bot/workspace/skills/README.md b/bot/workspace/skills/README.md new file mode 100644 index 00000000..c1689c6c --- /dev/null +++ b/bot/workspace/skills/README.md @@ -0,0 +1,25 @@ +# vikingbot Skills + +This directory contains built-in skills that extend vikingbot's capabilities. + +## Skill Format + +Each skill is a directory containing a `SKILL.md` file with: +- YAML frontmatter (name, description, metadata) +- Markdown instructions for the agent + +## Attribution + +These skills are adapted from [OpenClaw](https://github.com/openclaw/openclaw)'s skill system. +The skill format and metadata structure follow OpenClaw's conventions to maintain compatibility. + +## Available Skills + +| Skill | Description | +|-------|-------------| +| `github` | Interact with GitHub using the `gh` CLI | +| `github-proxy` | GitHub 国内访问加速,使用 githubproxy.cc 代理加速 GitHub 仓库克隆、文件下载等操作 | +| `weather` | Get weather info using wttr.in and Open-Meteo | +| `summarize` | Summarize URLs, files, and YouTube videos | +| `tmux` | Remote-control tmux sessions | +| `skill-creator` | Create new skills | \ No newline at end of file diff --git a/bot/workspace/skills/cron/SKILL.md b/bot/workspace/skills/cron/SKILL.md new file mode 100644 index 00000000..429b99bb --- /dev/null +++ b/bot/workspace/skills/cron/SKILL.md @@ -0,0 +1,47 @@ +--- +name: cron +description: Schedule reminders and recurring tasks. +--- + +# Cron + +Use the `cron` tool to schedule reminders or recurring tasks. + +## Three Modes + +1. **Reminder** - message is sent directly to user +2. **Task** - message is a task description, agent executes and sends result +3. **One-time** - runs once at a specific time, then auto-deletes + +## Examples + +Fixed reminder: +``` +cron(action="add", message="Time to take a break!", every_seconds=1200) +``` + +Dynamic task (agent executes each time): +``` +cron(action="add", message="Check HKUDS/vikingbot GitHub stars and report", every_seconds=600) +``` + +One-time scheduled task (compute ISO datetime from current time): +``` +cron(action="add", message="Remind me about the meeting", at="") +``` + +List/remove: +``` +cron(action="list") +cron(action="remove", job_id="abc123") +``` + +## Time Expressions + +| User says | Parameters | +|-----------|------------| +| every 20 minutes | every_seconds: 1200 | +| every hour | every_seconds: 3600 | +| every day at 8am | cron_expr: "0 8 * * *" | +| weekdays at 5pm | cron_expr: "0 17 * * 1-5" | +| at a specific time | at: ISO datetime string (compute from current time) | diff --git a/bot/workspace/skills/github-proxy/SKILL.md b/bot/workspace/skills/github-proxy/SKILL.md new file mode 100644 index 00000000..146192eb --- /dev/null +++ b/bot/workspace/skills/github-proxy/SKILL.md @@ -0,0 +1,69 @@ +--- +name: github-proxy +description: GitHub 国内访问加速 skill,使用 githubproxy.cc 代理加速 GitHub 仓库克隆、文件下载、Raw 文件访问等操作。使用场景:(1) 需要 git clone GitHub 仓库时加速,(2) 下载 GitHub Release 文件、Raw 文件、Archive 压缩包时加速,(3) 任何需要访问 GitHub 资源但速度慢的场景 +--- + +# GitHub 国内代理加速 Skill + +使用 githubproxy.cc 代理服务,为国内访问 GitHub 提供加速支持。 + +## 代理服务 + +当前使用的代理服务: +- **主要服务**: githubproxy.cc (测试有效,加速约 3 倍) +- **备用服务**: ghfast.top + +## 使用方法 + +### 1. Git Clone 加速 + +将 GitHub 仓库链接前加上 `https://githubproxy.cc/` 前缀: + +```bash +# 原始链接 +git clone https://github.com/username/repo.git + +# 加速链接 +git clone https://githubproxy.cc/https://github.com/username/repo.git +``` + +### 2. 文件下载加速 + +支持以下类型的 GitHub 资源加速: + +- **Raw 文件**: `https://raw.githubusercontent.com/...` +- **Release 文件**: 项目发布的附件 +- **Archive 压缩包**: 仓库打包下载 +- **Gist 文件**: `gist.github.com` 或 `gist.githubusercontent.com` + +```bash +# 原始链接 +wget https://raw.githubusercontent.com/username/repo/main/file.txt + +# 加速链接 +wget https://githubproxy.cc/https://raw.githubusercontent.com/username/repo/main/file.txt +``` + +### 3. 使用辅助脚本 + +使用 `scripts/convert_url.py` 自动转换 GitHub 链接: + +```bash +python scripts/convert_url.py "https://github.com/username/repo.git" +``` + +## 链接转换规则 + +| 原始链接格式 | 转换后格式 | +|-------------|-----------| +| `https://github.com/username/repo.git` | `https://githubproxy.cc/https://github.com/username/repo.git` | +| `https://raw.githubusercontent.com/...` | `https://githubproxy.cc/https://raw.githubusercontent.com/...` | +| `https://github.com/.../releases/download/...` | `https://githubproxy.cc/https://github.com/.../releases/download/...` | +| `https://github.com/.../archive/...` | `https://githubproxy.cc/https://github.com/.../archive/...` | + +## 注意事项 + +- 本服务仅供学习研究使用,请勿滥用 +- 如果 githubproxy.cc 不可用,请尝试备用服务 ghfast.top +- 不支持 SSH Key 方式的 git clone +- Push、PR、Issue 等操作建议直接使用官方 GitHub 地址 diff --git a/bot/workspace/skills/github-proxy/scripts/convert_url.py b/bot/workspace/skills/github-proxy/scripts/convert_url.py new file mode 100755 index 00000000..7821c73f --- /dev/null +++ b/bot/workspace/skills/github-proxy/scripts/convert_url.py @@ -0,0 +1,58 @@ +#!/usr/bin/env python3 +import sys +import re + +DEFAULT_PROXY = "https://githubproxy.cc" +BACKUP_PROXY = "https://ghfast.top" + +GITHUB_PATTERNS = [ + r"^https?://github\.com/.*", + r"^https?://raw\.githubusercontent\.com/.*", + r"^https?://gist\.github\.com/.*", + r"^https?://gist\.githubusercontent\.com/.*", +] + + +def is_github_url(url: str) -> bool: + for pattern in GITHUB_PATTERNS: + if re.match(pattern, url): + return True + return False + + +def convert_url(url: str, proxy: str = DEFAULT_PROXY) -> str: + if not url: + return "" + + if url.startswith(proxy): + return url + + if not is_github_url(url): + print(f"警告: 链接 {url} 看起来不是 GitHub 链接", file=sys.stderr) + return url + + return f"{proxy}/{url}" + + +def main(): + if len(sys.argv) < 2: + print("使用方法: python convert_url.py [--backup]") + print("\n示例:") + print(" python convert_url.py https://github.com/username/repo.git") + print( + " python convert_url.py https://raw.githubusercontent.com/username/repo/main/file.txt" + ) + print(" python convert_url.py https://github.com/username/repo.git --backup") + sys.exit(1) + + url = sys.argv[1] + use_backup = "--backup" in sys.argv or "-b" in sys.argv + + proxy = BACKUP_PROXY if use_backup else DEFAULT_PROXY + + result = convert_url(url, proxy) + print(result) + + +if __name__ == "__main__": + main() diff --git a/bot/workspace/skills/github/SKILL.md b/bot/workspace/skills/github/SKILL.md new file mode 100644 index 00000000..5bc11e93 --- /dev/null +++ b/bot/workspace/skills/github/SKILL.md @@ -0,0 +1,48 @@ +--- +name: github +description: "Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries." +metadata: {"vikingbot":{"emoji":"🐙","requires":{"bins":["gh"]},"install":[{"id":"brew","kind":"brew","formula":"gh","bins":["gh"],"label":"Install GitHub CLI (brew)"},{"id":"apt","kind":"apt","package":"gh","bins":["gh"],"label":"Install GitHub CLI (apt)"}]}} +--- + +# GitHub Skill + +Use the `gh` CLI to interact with GitHub. Always specify `--repo owner/repo` when not in a git directory, or use URLs directly. + +## Pull Requests + +Check CI status on a PR: +```bash +gh pr checks 55 --repo owner/repo +``` + +List recent workflow runs: +```bash +gh run list --repo owner/repo --limit 10 +``` + +View a run and see which steps failed: +```bash +gh run view --repo owner/repo +``` + +View logs for failed steps only: +```bash +gh run view --repo owner/repo --log-failed +``` + +## API for Advanced Queries + +The `gh api` command is useful for accessing data not available through other subcommands. + +Get PR with specific fields: +```bash +gh api repos/owner/repo/pulls/55 --jq '.title, .state, .user.login' +``` + +## JSON Output + +Most commands support `--json` for structured output. You can use `--jq` to filter: + +```bash +gh issue list --repo owner/repo --json number,title --jq '.[] | "\(.number): \(.title)"' +``` diff --git a/bot/workspace/skills/opencode/SKILL.md b/bot/workspace/skills/opencode/SKILL.md new file mode 100644 index 00000000..cee2c394 --- /dev/null +++ b/bot/workspace/skills/opencode/SKILL.md @@ -0,0 +1,40 @@ +--- +name: opencode +description: Monitor and manage your OpenCode (ClawCode) tasks using helper scripts. +metadata: {"vikingbot":{"emoji":"💻","requires":{"bins":["python3"]}}} +--- + +# OpenCode Skill + +Use helper scripts to manage your OpenCode (ClawCode) instances. + +## Helper Scripts + +All scripts are in the workspace skills directory. Run them with: +```bash +uv run python skills/opencode/script_name.py +``` + +Note: Do not kill the opencode process. + +## Scripts + +### `list_sessions.py` +Listing all OpenCode sessions + +Example: +uv run python skills/opencode/list_sessions.py + + +### `list_messages_of_session.py` +Listing latest OpenCode messages by session_id + +Example: +uv run python skills/opencode/list_sessions.py {session_id} + +## Session Status Types + +- **🟢 WAITING**: Last message was from user - agent is waiting for input +- **🔴 WORKING**: Last message was from assistant - agent recently finished or may be working +- **🟡 UNKNOWN**: Cannot determine status + diff --git a/bot/workspace/skills/opencode/list_sessions.py b/bot/workspace/skills/opencode/list_sessions.py new file mode 100644 index 00000000..ff9740e6 --- /dev/null +++ b/bot/workspace/skills/opencode/list_sessions.py @@ -0,0 +1,111 @@ +#!/usr/bin/env python3 +"""Test listing OpenCode sessions""" + +import json +import time +from opencode_ai import Opencode +from opencode_utils import ( + check_serve_status, + execute_cmd, + read_new_messages, + read_status, + write_status, + list_project, +) +from pydantic import BaseModel + +print("=" * 80) +print("Listing OpenCode Sessions") +print("=" * 80) + +check_serve_status() + + +client = Opencode(base_url="http://127.0.0.1:4096") + + +class ViewSession(BaseModel): + title: str + session_id: str + last_modify_time: str + create_time: str + directory: str + status: str + new_messages: str + + +try: + session_notify_status = read_status() + + project_list = list_project(client) + sessions = [] + for project in project_list: + r = execute_cmd(f"cd {project['path']};opencode session list --format=json") + if r is None: + continue + try: + project_sessions = json.loads(r) + sessions.extend(project_sessions) + except Exception: + pass + + # print(f'sessions={sessions}') + v_sessions = [] + for session in sessions: + # 去掉超过一天没变化的 + if time.time() - session.get("updated") / 1000 > 24 * 3600: + continue + v_session = ViewSession( + title=session.get("title"), + session_id=session.get("id"), + last_modify_time=time.strftime( + "%Y-%m-%d %H:%M:%S", time.localtime(session.get("updated") / 1000) + ), + create_time=time.strftime( + "%Y-%m-%d %H:%M:%S", time.localtime(session.get("created") / 1000) + ), + directory=session.get("directory"), + status="", + new_messages="", + ) + status, new_messages_list, next_ts = read_new_messages( + client, + session_id=v_session.session_id, + last_ts=session_notify_status.get(v_session.session_id, 0), + ) + v_session.status = status + if status == "finished": + message_texts = [] + for msg in new_messages_list: + if msg.parts: + for part in msg.parts: + if hasattr(part, "text") and part.text: + message_texts.append(part.text) + + v_session.new_messages = "\n\n".join(message_texts) + session_notify_status[v_session.session_id] = next_ts + v_sessions.append(v_session) + print(f"Success! Found {len(v_sessions)} session(s)") + print() + for i, vs in enumerate(v_sessions, 1): + print(f"--- Session {i} ---") + print(f"Title: {vs.title}") + print(f"Session ID: {vs.session_id}") + print(f"Status: {vs.status}") + print(f"Last Modified: {vs.last_modify_time}") + print(f"Created: {vs.create_time}") + print(f"Directory: {vs.directory}") + if vs.new_messages: + print(f"New Messages To User:\n{vs.new_messages}") + else: + print("New Messages To User: (none)") + print() + write_status(session_notify_status) + +except Exception as e: + print(f" Error: {e}") + import traceback + + traceback.print_exc() + +print("\n" + "=" * 80) diff --git a/bot/workspace/skills/opencode/opencode_utils.py b/bot/workspace/skills/opencode/opencode_utils.py new file mode 100644 index 00000000..44f811e7 --- /dev/null +++ b/bot/workspace/skills/opencode/opencode_utils.py @@ -0,0 +1,161 @@ +#!/usr/bin/env python3 +"""Simple test for opencode-ai SDK""" + +import json +import os +import subprocess +import sys +import traceback +import time + +from opencode_ai import Opencode + + +def execute_cmd(cmd): + try: + # 同时捕获stdout和stderr,排查输出位置 + result = subprocess.run( + cmd, + shell=True, + text=True, + encoding="utf-8", + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, # 捕获错误输出 + check=True, # 等价于check_output的行为,命令失败会抛异常 + ) + stdout = result.stdout.strip() # 去除空白符(换行/空格) + stderr = result.stderr.strip() + return stdout + except subprocess.CalledProcessError as e: + # 捕获命令执行失败的异常(返回码非0) + print(f"命令执行失败:{e}") + return None + except Exception as e: + # 捕获其他异常(如命令不存在、超时等) + print(f"执行异常:{str(e)}") + return None + + +def start_opencode(): + """子进程函数:启动opencode serve并完全脱离子进程控制""" + pid = None + try: + if sys.platform == "win32": + # Windows:使用CREATE_NEW_PROCESS_GROUP创建独立进程组,detach脱离父进程 + creationflags = subprocess.CREATE_NEW_PROCESS_GROUP | subprocess.DETACHED_PROCESS + proc = subprocess.Popen( + ["opencode", "serve"], + shell=False, + creationflags=creationflags, + stdout=subprocess.DEVNULL, # 重定向输出避免控制台关联 + stderr=subprocess.DEVNULL, + stdin=subprocess.DEVNULL, + ) + pid = proc.pid + else: + # Linux/macOS:使用os.setsid创建新会话,完全脱离控制终端 + # 先fork一次,再启动进程,确保脱离所有父进程关联 + cmd = ["opencode", "serve"] + # 创建新会话 + 重定向所有输出 + proc = subprocess.Popen( + cmd, + preexec_fn=os.setsid, # 关键:创建新的会话ID + stdout=open("opencode.log", "a"), + stderr=subprocess.STDOUT, + stdin=subprocess.DEVNULL, + ) + pid = proc.pid + + print(f"opencode serve已启动,PID: {pid}") + # 短暂等待确保进程启动成功 + time.sleep(2) + return pid + except Exception as e: + print(f"启动opencode失败: {e}") + traceback.print_exc() + return None + + +def check_serve_status(): + """测试opencode连接,失败则启动服务并重试""" + try: + client = Opencode(base_url="http://127.0.0.1:4096") + modes = client.app.modes() + except Exception as e: + print(f"连接opencode失败,错误: {e}") + # 启动服务 + pid = start_opencode() + if pid: + # 启动后重试连接 + time.sleep(3) + + +def read_new_messages(client, session_id, last_ts): + """ + 读取上一次之后的消息, 通过client.session.messages实现,注意 + """ + messages = client.session.messages(id=session_id, extra_query={"limit": 10}) + next_ts = last_ts + new_messages = [] + has_finished = False + + for message in messages: + created_time = 0 + if hasattr(message, "info") and message.info: + if hasattr(message.info, "time") and message.info.time: + if hasattr(message.info.time, "created"): + created_time = message.info.time.created + + if created_time > last_ts: + new_messages.append(message) + if created_time > next_ts: + next_ts = created_time + + if messages: + last_message = messages[-1] + if last_message.parts: + for part in last_message.parts: + if hasattr(part, "type") and part.type == "step-finish": + has_finished = True + + status = "finished" if has_finished else "running" + return status, new_messages, next_ts + + +file_path = "status.json" + + +def read_status(): + # 检查文件是否存在 + if not os.path.exists(file_path): + return {} + # 读取并解析JSON文件 + try: + with open(file_path, "r", encoding="utf-8") as f: + data = json.load(f) + return data + except Exception as e: + # 捕获其他未知异常 + print(f"读取 {file_path} 时发生错误:{e}") + return {} + + +def write_status(status): + try: + with open(file_path, "w", encoding="utf-8") as f: + f.write(json.dumps(status)) + except Exception as e: + # 捕获其他未知异常 + print(f"写入 {file_path} 时发生错误:{e}") + + +def list_project(client): + import httpx + + http_client = httpx.Client(base_url="http://127.0.0.1:4096") + response = http_client.get("/project") + projects = response.json() + project_list = [] + for p in projects: + project_list.append({"id": p.get("id"), "path": p.get("worktree")}) + return project_list diff --git a/bot/workspace/skills/opencode/status.json b/bot/workspace/skills/opencode/status.json new file mode 100644 index 00000000..d90bb2fd --- /dev/null +++ b/bot/workspace/skills/opencode/status.json @@ -0,0 +1 @@ +{"ses_37e6f7aaaffebcNKWA5sk09F6K": 1771705418600.0, "ses_385e39be5ffeeV7ilnnzy4yDAQ": 1771705404886.0, "ses_3840324c5ffe8oxcxtnepcBMUA": 1771681820419.0, 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new file mode 100644 index 00000000..9b5eb6fe --- /dev/null +++ b/bot/workspace/skills/skill-creator/SKILL.md @@ -0,0 +1,371 @@ +--- +name: skill-creator +description: Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets. +--- + +# Skill Creator + +This skill provides guidance for creating effective skills. + +## About Skills + +Skills are modular, self-contained packages that extend the agent's capabilities by providing +specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific +domains or tasks—they transform the agent from a general-purpose agent into a specialized agent +equipped with procedural knowledge that no model can fully possess. + +### What Skills Provide + +1. Specialized workflows - Multi-step procedures for specific domains +2. Tool integrations - Instructions for working with specific file formats or APIs +3. Domain expertise - Company-specific knowledge, schemas, business logic +4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks + +## Core Principles + +### Concise is Key + +The context window is a public good. Skills share the context window with everything else the agent needs: system prompt, conversation history, other Skills' metadata, and the actual user request. + +**Default assumption: the agent is already very smart.** Only add context the agent doesn't already have. Challenge each piece of information: "Does the agent really need this explanation?" and "Does this paragraph justify its token cost?" + +Prefer concise examples over verbose explanations. + +### Set Appropriate Degrees of Freedom + +Match the level of specificity to the task's fragility and variability: + +**High freedom (text-based instructions)**: Use when multiple approaches are valid, decisions depend on context, or heuristics guide the approach. + +**Medium freedom (pseudocode or scripts with parameters)**: Use when a preferred pattern exists, some variation is acceptable, or configuration affects behavior. + +**Low freedom (specific scripts, few parameters)**: Use when operations are fragile and error-prone, consistency is critical, or a specific sequence must be followed. + +Think of the agent as exploring a path: a narrow bridge with cliffs needs specific guardrails (low freedom), while an open field allows many routes (high freedom). + +### Anatomy of a Skill + +Every skill consists of a required SKILL.md file and optional bundled resources: + +``` +skill-name/ +├── SKILL.md (required) +│ ├── YAML frontmatter metadata (required) +│ │ ├── name: (required) +│ │ └── description: (required) +│ └── Markdown instructions (required) +└── Bundled Resources (optional) + ├── scripts/ - Executable code (Python/Bash/etc.) + ├── references/ - Documentation intended to be loaded into context as needed + └── assets/ - Files used in output (templates, icons, fonts, etc.) +``` + +#### SKILL.md (required) + +Every SKILL.md consists of: + +- **Frontmatter** (YAML): Contains `name` and `description` fields. These are the only fields that the agent reads to determine when the skill gets used, thus it is very important to be clear and comprehensive in describing what the skill is, and when it should be used. +- **Body** (Markdown): Instructions and guidance for using the skill. Only loaded AFTER the skill triggers (if at all). + +#### Bundled Resources (optional) + +##### Scripts (`scripts/`) + +Executable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten. + +- **When to include**: When the same code is being rewritten repeatedly or deterministic reliability is needed +- **Example**: `scripts/rotate_pdf.py` for PDF rotation tasks +- **Benefits**: Token efficient, deterministic, may be executed without loading into context +- **Note**: Scripts may still need to be read by the agent for patching or environment-specific adjustments + +##### References (`references/`) + +Documentation and reference material intended to be loaded as needed into context to inform the agent's process and thinking. + +- **When to include**: For documentation that the agent should reference while working +- **Examples**: `references/finance.md` for financial schemas, `references/mnda.md` for company NDA template, `references/policies.md` for company policies, `references/api_docs.md` for API specifications +- **Use cases**: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides +- **Benefits**: Keeps SKILL.md lean, loaded only when the agent determines it's needed +- **Best practice**: If files are large (>10k words), include grep search patterns in SKILL.md +- **Avoid duplication**: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files. + +##### Assets (`assets/`) + +Files not intended to be loaded into context, but rather used within the output the agent produces. + +- **When to include**: When the skill needs files that will be used in the final output +- **Examples**: `assets/logo.png` for brand assets, `assets/slides.pptx` for PowerPoint templates, `assets/frontend-template/` for HTML/React boilerplate, `assets/font.ttf` for typography +- **Use cases**: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified +- **Benefits**: Separates output resources from documentation, enables the agent to use files without loading them into context + +#### What to Not Include in a Skill + +A skill should only contain essential files that directly support its functionality. Do NOT create extraneous documentation or auxiliary files, including: + +- README.md +- INSTALLATION_GUIDE.md +- QUICK_REFERENCE.md +- CHANGELOG.md +- etc. + +The skill should only contain the information needed for an AI agent to do the job at hand. It should not contain auxiliary context about the process that went into creating it, setup and testing procedures, user-facing documentation, etc. Creating additional documentation files just adds clutter and confusion. + +### Progressive Disclosure Design Principle + +Skills use a three-level loading system to manage context efficiently: + +1. **Metadata (name + description)** - Always in context (~100 words) +2. **SKILL.md body** - When skill triggers (<5k words) +3. **Bundled resources** - As needed by the agent (Unlimited because scripts can be executed without reading into context window) + +#### Progressive Disclosure Patterns + +Keep SKILL.md body to the essentials and under 500 lines to minimize context bloat. Split content into separate files when approaching this limit. When splitting out content into other files, it is very important to reference them from SKILL.md and describe clearly when to read them, to ensure the reader of the skill knows they exist and when to use them. + +**Key principle:** When a skill supports multiple variations, frameworks, or options, keep only the core workflow and selection guidance in SKILL.md. Move variant-specific details (patterns, examples, configuration) into separate reference files. + +**Pattern 1: High-level guide with references** + +```markdown +# PDF Processing + +## Quick start + +Extract text with pdfplumber: +[code example] + +## Advanced features + +- **Form filling**: See [FORMS.md](FORMS.md) for complete guide +- **API reference**: See [REFERENCE.md](REFERENCE.md) for all methods +- **Examples**: See [EXAMPLES.md](EXAMPLES.md) for common patterns +``` + +the agent loads FORMS.md, REFERENCE.md, or EXAMPLES.md only when needed. + +**Pattern 2: Domain-specific organization** + +For Skills with multiple domains, organize content by domain to avoid loading irrelevant context: + +``` +bigquery-skill/ +├── SKILL.md (overview and navigation) +└── reference/ + ├── finance.md (revenue, billing metrics) + ├── sales.md (opportunities, pipeline) + ├── product.md (API usage, features) + └── marketing.md (campaigns, attribution) +``` + +When a user asks about sales metrics, the agent only reads sales.md. + +Similarly, for skills supporting multiple frameworks or variants, organize by variant: + +``` +cloud-deploy/ +├── SKILL.md (workflow + provider selection) +└── references/ + ├── aws.md (AWS deployment patterns) + ├── gcp.md (GCP deployment patterns) + └── azure.md (Azure deployment patterns) +``` + +When the user chooses AWS, the agent only reads aws.md. + +**Pattern 3: Conditional details** + +Show basic content, link to advanced content: + +```markdown +# DOCX Processing + +## Creating documents + +Use docx-js for new documents. See [DOCX-JS.md](DOCX-JS.md). + +## Editing documents + +For simple edits, modify the XML directly. + +**For tracked changes**: See [REDLINING.md](REDLINING.md) +**For OOXML details**: See [OOXML.md](OOXML.md) +``` + +the agent reads REDLINING.md or OOXML.md only when the user needs those features. + +**Important guidelines:** + +- **Avoid deeply nested references** - Keep references one level deep from SKILL.md. All reference files should link directly from SKILL.md. +- **Structure longer reference files** - For files longer than 100 lines, include a table of contents at the top so the agent can see the full scope when previewing. + +## Skill Creation Process + +Skill creation involves these steps: + +1. Understand the skill with concrete examples +2. Plan reusable skill contents (scripts, references, assets) +3. Initialize the skill (run init_skill.py) +4. Edit the skill (implement resources and write SKILL.md) +5. Package the skill (run package_skill.py) +6. Iterate based on real usage + +Follow these steps in order, skipping only if there is a clear reason why they are not applicable. + +### Skill Naming + +- Use lowercase letters, digits, and hyphens only; normalize user-provided titles to hyphen-case (e.g., "Plan Mode" -> `plan-mode`). +- When generating names, generate a name under 64 characters (letters, digits, hyphens). +- Prefer short, verb-led phrases that describe the action. +- Namespace by tool when it improves clarity or triggering (e.g., `gh-address-comments`, `linear-address-issue`). +- Name the skill folder exactly after the skill name. + +### Step 1: Understanding the Skill with Concrete Examples + +Skip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill. + +To create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback. + +For example, when building an image-editor skill, relevant questions include: + +- "What functionality should the image-editor skill support? Editing, rotating, anything else?" +- "Can you give some examples of how this skill would be used?" +- "I can imagine users asking for things like 'Remove the red-eye from this image' or 'Rotate this image'. Are there other ways you imagine this skill being used?" +- "What would a user say that should trigger this skill?" + +To avoid overwhelming users, avoid asking too many questions in a single message. Start with the most important questions and follow up as needed for better effectiveness. + +Conclude this step when there is a clear sense of the functionality the skill should support. + +### Step 2: Planning the Reusable Skill Contents + +To turn concrete examples into an effective skill, analyze each example by: + +1. Considering how to execute on the example from scratch +2. Identifying what scripts, references, and assets would be helpful when executing these workflows repeatedly + +Example: When building a `pdf-editor` skill to handle queries like "Help me rotate this PDF," the analysis shows: + +1. Rotating a PDF requires re-writing the same code each time +2. A `scripts/rotate_pdf.py` script would be helpful to store in the skill + +Example: When designing a `frontend-webapp-builder` skill for queries like "Build me a todo app" or "Build me a dashboard to track my steps," the analysis shows: + +1. Writing a frontend webapp requires the same boilerplate HTML/React each time +2. An `assets/hello-world/` template containing the boilerplate HTML/React project files would be helpful to store in the skill + +Example: When building a `big-query` skill to handle queries like "How many users have logged in today?" the analysis shows: + +1. Querying BigQuery requires re-discovering the table schemas and relationships each time +2. A `references/schema.md` file documenting the table schemas would be helpful to store in the skill + +To establish the skill's contents, analyze each concrete example to create a list of the reusable resources to include: scripts, references, and assets. + +### Step 3: Initializing the Skill + +At this point, it is time to actually create the skill. + +Skip this step only if the skill being developed already exists, and iteration or packaging is needed. In this case, continue to the next step. + +When creating a new skill from scratch, always run the `init_skill.py` script. The script conveniently generates a new template skill directory that automatically includes everything a skill requires, making the skill creation process much more efficient and reliable. + +Usage: + +```bash +scripts/init_skill.py --path [--resources scripts,references,assets] [--examples] +``` + +Examples: + +```bash +scripts/init_skill.py my-skill --path skills/public +scripts/init_skill.py my-skill --path skills/public --resources scripts,references +scripts/init_skill.py my-skill --path skills/public --resources scripts --examples +``` + +The script: + +- Creates the skill directory at the specified path +- Generates a SKILL.md template with proper frontmatter and TODO placeholders +- Optionally creates resource directories based on `--resources` +- Optionally adds example files when `--examples` is set + +After initialization, customize the SKILL.md and add resources as needed. If you used `--examples`, replace or delete placeholder files. + +### Step 4: Edit the Skill + +When editing the (newly-generated or existing) skill, remember that the skill is being created for another instance of the agent to use. Include information that would be beneficial and non-obvious to the agent. Consider what procedural knowledge, domain-specific details, or reusable assets would help another the agent instance execute these tasks more effectively. + +#### Learn Proven Design Patterns + +Consult these helpful guides based on your skill's needs: + +- **Multi-step processes**: See references/workflows.md for sequential workflows and conditional logic +- **Specific output formats or quality standards**: See references/output-patterns.md for template and example patterns + +These files contain established best practices for effective skill design. + +#### Start with Reusable Skill Contents + +To begin implementation, start with the reusable resources identified above: `scripts/`, `references/`, and `assets/` files. Note that this step may require user input. For example, when implementing a `brand-guidelines` skill, the user may need to provide brand assets or templates to store in `assets/`, or documentation to store in `references/`. + +Added scripts must be tested by actually running them to ensure there are no bugs and that the output matches what is expected. If there are many similar scripts, only a representative sample needs to be tested to ensure confidence that they all work while balancing time to completion. + +If you used `--examples`, delete any placeholder files that are not needed for the skill. Only create resource directories that are actually required. + +#### Update SKILL.md + +**Writing Guidelines:** Always use imperative/infinitive form. + +##### Frontmatter + +Write the YAML frontmatter with `name` and `description`: + +- `name`: The skill name +- `description`: This is the primary triggering mechanism for your skill, and helps the agent understand when to use the skill. + - Include both what the Skill does and specific triggers/contexts for when to use it. + - Include all "when to use" information here - Not in the body. The body is only loaded after triggering, so "When to Use This Skill" sections in the body are not helpful to the agent. + - Example description for a `docx` skill: "Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. Use when the agent needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks" + +Do not include any other fields in YAML frontmatter. + +##### Body + +Write instructions for using the skill and its bundled resources. + +### Step 5: Packaging a Skill + +Once development of the skill is complete, it must be packaged into a distributable .skill file that gets shared with the user. The packaging process automatically validates the skill first to ensure it meets all requirements: + +```bash +scripts/package_skill.py +``` + +Optional output directory specification: + +```bash +scripts/package_skill.py ./dist +``` + +The packaging script will: + +1. **Validate** the skill automatically, checking: + + - YAML frontmatter format and required fields + - Skill naming conventions and directory structure + - Description completeness and quality + - File organization and resource references + +2. **Package** the skill if validation passes, creating a .skill file named after the skill (e.g., `my-skill.skill`) that includes all files and maintains the proper directory structure for distribution. The .skill file is a zip file with a .skill extension. + +If validation fails, the script will report the errors and exit without creating a package. Fix any validation errors and run the packaging command again. + +### Step 6: Iterate + +After testing the skill, users may request improvements. Often this happens right after using the skill, with fresh context of how the skill performed. + +**Iteration workflow:** + +1. Use the skill on real tasks +2. Notice struggles or inefficiencies +3. Identify how SKILL.md or bundled resources should be updated +4. Implement changes and test again diff --git a/bot/workspace/skills/summarize/SKILL.md b/bot/workspace/skills/summarize/SKILL.md new file mode 100644 index 00000000..25190028 --- /dev/null +++ b/bot/workspace/skills/summarize/SKILL.md @@ -0,0 +1,67 @@ +--- +name: summarize +description: Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”). +homepage: https://summarize.sh +metadata: {"vikingbot":{"emoji":"🧾","requires":{"bins":["summarize"]},"install":[{"id":"brew","kind":"brew","formula":"steipete/tap/summarize","bins":["summarize"],"label":"Install summarize (brew)"}]}} +--- + +# Summarize + +Fast CLI to summarize URLs, local files, and YouTube links. + +## When to use (trigger phrases) + +Use this skill immediately when the user asks any of: +- “use summarize.sh” +- “what’s this link/video about?” +- “summarize this URL/article” +- “transcribe this YouTube/video” (best-effort transcript extraction; no `yt-dlp` needed) + +## Quick start + +```bash +summarize "https://example.com" --model google/gemini-3-flash-preview +summarize "/path/to/file.pdf" --model google/gemini-3-flash-preview +summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto +``` + +## YouTube: summary vs transcript + +Best-effort transcript (URLs only): + +```bash +summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto --extract-only +``` + +If the user asked for a transcript but it’s huge, return a tight summary first, then ask which section/time range to expand. + +## Model + keys + +Set the API key for your chosen provider: +- OpenAI: `OPENAI_API_KEY` +- Anthropic: `ANTHROPIC_API_KEY` +- xAI: `XAI_API_KEY` +- Google: `GEMINI_API_KEY` (aliases: `GOOGLE_GENERATIVE_AI_API_KEY`, `GOOGLE_API_KEY`) + +Default model is `google/gemini-3-flash-preview` if none is set. + +## Useful flags + +- `--length short|medium|long|xl|xxl|` +- `--max-output-tokens ` +- `--extract-only` (URLs only) +- `--json` (machine readable) +- `--firecrawl auto|off|always` (fallback extraction) +- `--youtube auto` (Apify fallback if `APIFY_API_TOKEN` set) + +## Config + +Optional config file: `~/.summarize/config.json` + +```json +{ "model": "openai/gpt-5.2" } +``` + +Optional services: +- `FIRECRAWL_API_KEY` for blocked sites +- `APIFY_API_TOKEN` for YouTube fallback diff --git a/bot/workspace/skills/tmux/SKILL.md b/bot/workspace/skills/tmux/SKILL.md new file mode 100644 index 00000000..bc608a5f --- /dev/null +++ b/bot/workspace/skills/tmux/SKILL.md @@ -0,0 +1,121 @@ +--- +name: tmux +description: Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output. +metadata: {"vikingbot":{"emoji":"🧵","os":["darwin","linux"],"requires":{"bins":["tmux"]}}} +--- + +# tmux Skill + +Use tmux only when you need an interactive TTY. Prefer exec background mode for long-running, non-interactive tasks. + +## Quickstart (isolated socket, exec tool) + +```bash +SOCKET_DIR="${NANOBOT_TMUX_SOCKET_DIR:-${TMPDIR:-/tmp}/vikingbot-tmux-sockets}" +mkdir -p "$SOCKET_DIR" +SOCKET="$SOCKET_DIR/vikingbot.sock" +SESSION=vikingbot-python + +tmux -S "$SOCKET" new -d -s "$SESSION" -n shell +tmux -S "$SOCKET" send-keys -t "$SESSION":0.0 -- 'PYTHON_BASIC_REPL=1 python3 -q' Enter +tmux -S "$SOCKET" capture-pane -p -J -t "$SESSION":0.0 -S -200 +``` + +After starting a session, always print monitor commands: + +``` +To monitor: + tmux -S "$SOCKET" attach -t "$SESSION" + tmux -S "$SOCKET" capture-pane -p -J -t "$SESSION":0.0 -S -200 +``` + +## Socket convention + +- Use `NANOBOT_TMUX_SOCKET_DIR` environment variable. +- Default socket path: `"$NANOBOT_TMUX_SOCKET_DIR/vikingbot.sock"`. + +## Targeting panes and naming + +- Target format: `session:window.pane` (defaults to `:0.0`). +- Keep names short; avoid spaces. +- Inspect: `tmux -S "$SOCKET" list-sessions`, `tmux -S "$SOCKET" list-panes -a`. + +## Finding sessions + +- List sessions on your socket: `{baseDir}/scripts/find-sessions.sh -S "$SOCKET"`. +- Scan all sockets: `{baseDir}/scripts/find-sessions.sh --all` (uses `NANOBOT_TMUX_SOCKET_DIR`). + +## Sending input safely + +- Prefer literal sends: `tmux -S "$SOCKET" send-keys -t target -l -- "$cmd"`. +- Control keys: `tmux -S "$SOCKET" send-keys -t target C-c`. + +## Watching output + +- Capture recent history: `tmux -S "$SOCKET" capture-pane -p -J -t target -S -200`. +- Wait for prompts: `{baseDir}/scripts/wait-for-text.sh -t session:0.0 -p 'pattern'`. +- Attaching is OK; detach with `Ctrl+b d`. + +## Spawning processes + +- For python REPLs, set `PYTHON_BASIC_REPL=1` (non-basic REPL breaks send-keys flows). + +## Windows / WSL + +- tmux is supported on macOS/Linux. On Windows, use WSL and install tmux inside WSL. +- This skill is gated to `darwin`/`linux` and requires `tmux` on PATH. + +## Orchestrating Coding Agents (Codex, Claude Code) + +tmux excels at running multiple coding agents in parallel: + +```bash +SOCKET="${TMPDIR:-/tmp}/codex-army.sock" + +# Create multiple sessions +for i in 1 2 3 4 5; do + tmux -S "$SOCKET" new-session -d -s "agent-$i" +done + +# Launch agents in different workdirs +tmux -S "$SOCKET" send-keys -t agent-1 "cd /tmp/project1 && codex --yolo 'Fix bug X'" Enter +tmux -S "$SOCKET" send-keys -t agent-2 "cd /tmp/project2 && codex --yolo 'Fix bug Y'" Enter + +# Poll for completion (check if prompt returned) +for sess in agent-1 agent-2; do + if tmux -S "$SOCKET" capture-pane -p -t "$sess" -S -3 | grep -q "❯"; then + echo "$sess: DONE" + else + echo "$sess: Running..." + fi +done + +# Get full output from completed session +tmux -S "$SOCKET" capture-pane -p -t agent-1 -S -500 +``` + +**Tips:** +- Use separate git worktrees for parallel fixes (no branch conflicts) +- `pnpm install` first before running codex in fresh clones +- Check for shell prompt (`❯` or `$`) to detect completion +- Codex needs `--yolo` or `--full-auto` for non-interactive fixes + +## Cleanup + +- Kill a session: `tmux -S "$SOCKET" kill-session -t "$SESSION"`. +- Kill all sessions on a socket: `tmux -S "$SOCKET" list-sessions -F '#{session_name}' | xargs -r -n1 tmux -S "$SOCKET" kill-session -t`. +- Remove everything on the private socket: `tmux -S "$SOCKET" kill-server`. + +## Helper: wait-for-text.sh + +`{baseDir}/scripts/wait-for-text.sh` polls a pane for a regex (or fixed string) with a timeout. + +```bash +{baseDir}/scripts/wait-for-text.sh -t session:0.0 -p 'pattern' [-F] [-T 20] [-i 0.5] [-l 2000] +``` + +- `-t`/`--target` pane target (required) +- `-p`/`--pattern` regex to match (required); add `-F` for fixed string +- `-T` timeout seconds (integer, default 15) +- `-i` poll interval seconds (default 0.5) +- `-l` history lines to search (integer, default 1000) diff --git a/bot/workspace/skills/tmux/scripts/find-sessions.sh b/bot/workspace/skills/tmux/scripts/find-sessions.sh new file mode 100755 index 00000000..c5685a0c --- /dev/null +++ b/bot/workspace/skills/tmux/scripts/find-sessions.sh @@ -0,0 +1,112 @@ +#!/usr/bin/env bash +set -euo pipefail + +usage() { + cat <<'USAGE' +Usage: find-sessions.sh [-L socket-name|-S socket-path|-A] [-q pattern] + +List tmux sessions on a socket (default tmux socket if none provided). + +Options: + -L, --socket tmux socket name (passed to tmux -L) + -S, --socket-path tmux socket path (passed to tmux -S) + -A, --all scan all sockets under NANOBOT_TMUX_SOCKET_DIR + -q, --query case-insensitive substring to filter session names + -h, --help show this help +USAGE +} + +socket_name="" +socket_path="" +query="" +scan_all=false +socket_dir="${NANOBOT_TMUX_SOCKET_DIR:-${TMPDIR:-/tmp}/vikingbot-tmux-sockets}" + +while [[ $# -gt 0 ]]; do + case "$1" in + -L|--socket) socket_name="${2-}"; shift 2 ;; + -S|--socket-path) socket_path="${2-}"; shift 2 ;; + -A|--all) scan_all=true; shift ;; + -q|--query) query="${2-}"; shift 2 ;; + -h|--help) usage; exit 0 ;; + *) echo "Unknown option: $1" >&2; usage; exit 1 ;; + esac +done + +if [[ "$scan_all" == true && ( -n "$socket_name" || -n "$socket_path" ) ]]; then + echo "Cannot combine --all with -L or -S" >&2 + exit 1 +fi + +if [[ -n "$socket_name" && -n "$socket_path" ]]; then + echo "Use either -L or -S, not both" >&2 + exit 1 +fi + +if ! command -v tmux >/dev/null 2>&1; then + echo "tmux not found in PATH" >&2 + exit 1 +fi + +list_sessions() { + local label="$1"; shift + local tmux_cmd=(tmux "$@") + + if ! sessions="$("${tmux_cmd[@]}" list-sessions -F '#{session_name}\t#{session_attached}\t#{session_created_string}' 2>/dev/null)"; then + echo "No tmux server found on $label" >&2 + return 1 + fi + + if [[ -n "$query" ]]; then + sessions="$(printf '%s\n' "$sessions" | grep -i -- "$query" || true)" + fi + + if [[ -z "$sessions" ]]; then + echo "No sessions found on $label" + return 0 + fi + + echo "Sessions on $label:" + printf '%s\n' "$sessions" | while IFS=$'\t' read -r name attached created; do + attached_label=$([[ "$attached" == "1" ]] && echo "attached" || echo "detached") + printf ' - %s (%s, started %s)\n' "$name" "$attached_label" "$created" + done +} + +if [[ "$scan_all" == true ]]; then + if [[ ! -d "$socket_dir" ]]; then + echo "Socket directory not found: $socket_dir" >&2 + exit 1 + fi + + shopt -s nullglob + sockets=("$socket_dir"/*) + shopt -u nullglob + + if [[ "${#sockets[@]}" -eq 0 ]]; then + echo "No sockets found under $socket_dir" >&2 + exit 1 + fi + + exit_code=0 + for sock in "${sockets[@]}"; do + if [[ ! -S "$sock" ]]; then + continue + fi + list_sessions "socket path '$sock'" -S "$sock" || exit_code=$? + done + exit "$exit_code" +fi + +tmux_cmd=(tmux) +socket_label="default socket" + +if [[ -n "$socket_name" ]]; then + tmux_cmd+=(-L "$socket_name") + socket_label="socket name '$socket_name'" +elif [[ -n "$socket_path" ]]; then + tmux_cmd+=(-S "$socket_path") + socket_label="socket path '$socket_path'" +fi + +list_sessions "$socket_label" "${tmux_cmd[@]:1}" diff --git a/bot/workspace/skills/tmux/scripts/wait-for-text.sh b/bot/workspace/skills/tmux/scripts/wait-for-text.sh new file mode 100755 index 00000000..56354be8 --- /dev/null +++ b/bot/workspace/skills/tmux/scripts/wait-for-text.sh @@ -0,0 +1,83 @@ +#!/usr/bin/env bash +set -euo pipefail + +usage() { + cat <<'USAGE' +Usage: wait-for-text.sh -t target -p pattern [options] + +Poll a tmux pane for text and exit when found. + +Options: + -t, --target tmux target (session:window.pane), required + -p, --pattern regex pattern to look for, required + -F, --fixed treat pattern as a fixed string (grep -F) + -T, --timeout seconds to wait (integer, default: 15) + -i, --interval poll interval in seconds (default: 0.5) + -l, --lines number of history lines to inspect (integer, default: 1000) + -h, --help show this help +USAGE +} + +target="" +pattern="" +grep_flag="-E" +timeout=15 +interval=0.5 +lines=1000 + +while [[ $# -gt 0 ]]; do + case "$1" in + -t|--target) target="${2-}"; shift 2 ;; + -p|--pattern) pattern="${2-}"; shift 2 ;; + -F|--fixed) grep_flag="-F"; shift ;; + -T|--timeout) timeout="${2-}"; shift 2 ;; + -i|--interval) interval="${2-}"; shift 2 ;; + -l|--lines) lines="${2-}"; shift 2 ;; + -h|--help) usage; exit 0 ;; + *) echo "Unknown option: $1" >&2; usage; exit 1 ;; + esac +done + +if [[ -z "$target" || -z "$pattern" ]]; then + echo "target and pattern are required" >&2 + usage + exit 1 +fi + +if ! [[ "$timeout" =~ ^[0-9]+$ ]]; then + echo "timeout must be an integer number of seconds" >&2 + exit 1 +fi + +if ! [[ "$lines" =~ ^[0-9]+$ ]]; then + echo "lines must be an integer" >&2 + exit 1 +fi + +if ! command -v tmux >/dev/null 2>&1; then + echo "tmux not found in PATH" >&2 + exit 1 +fi + +# End time in epoch seconds (integer, good enough for polling) +start_epoch=$(date +%s) +deadline=$((start_epoch + timeout)) + +while true; do + # -J joins wrapped lines, -S uses negative index to read last N lines + pane_text="$(tmux capture-pane -p -J -t "$target" -S "-${lines}" 2>/dev/null || true)" + + if printf '%s\n' "$pane_text" | grep $grep_flag -- "$pattern" >/dev/null 2>&1; then + exit 0 + fi + + now=$(date +%s) + if (( now >= deadline )); then + echo "Timed out after ${timeout}s waiting for pattern: $pattern" >&2 + echo "Last ${lines} lines from $target:" >&2 + printf '%s\n' "$pane_text" >&2 + exit 1 + fi + + sleep "$interval" +done diff --git a/bot/workspace/skills/weather/SKILL.md b/bot/workspace/skills/weather/SKILL.md new file mode 100644 index 00000000..596e5b3b --- /dev/null +++ b/bot/workspace/skills/weather/SKILL.md @@ -0,0 +1,49 @@ +--- +name: weather +description: Get current weather and forecasts (no API key required). +homepage: https://wttr.in/:help +metadata: {"vikingbot":{"emoji":"🌤️","requires":{"bins":["curl"]}}} +--- + +# Weather + +Two free services, no API keys needed. + +## wttr.in (primary) + +Quick one-liner: +```bash +curl -s "wttr.in/London?format=3" +# Output: London: ⛅️ +8°C +``` + +Compact format: +```bash +curl -s "wttr.in/London?format=%l:+%c+%t+%h+%w" +# Output: London: ⛅️ +8°C 71% ↙5km/h +``` + +Full forecast: +```bash +curl -s "wttr.in/London?T" +``` + +Format codes: `%c` condition · `%t` temp · `%h` humidity · `%w` wind · `%l` location · `%m` moon + +Tips: +- URL-encode spaces: `wttr.in/New+York` +- Airport codes: `wttr.in/JFK` +- Units: `?m` (metric) `?u` (USCS) +- Today only: `?1` · Current only: `?0` +- PNG: `curl -s "wttr.in/Berlin.png" -o /tmp/weather.png` + +## Open-Meteo (fallback, JSON) + +Free, no key, good for programmatic use: +```bash +curl -s "https://api.open-meteo.com/v1/forecast?latitude=51.5&longitude=-0.12¤t_weather=true" +``` + +Find coordinates for a city, then query. Returns JSON with temp, windspeed, weathercode. + +Docs: https://open-meteo.com/en/docs diff --git a/openviking/message/message.py b/openviking/message/message.py index 90f5fdd3..5a58e64b 100644 --- a/openviking/message/message.py +++ b/openviking/message/message.py @@ -65,6 +65,12 @@ def _part_to_dict(self, part: Part) -> dict: d["tool_input"] = part.tool_input if part.tool_output: d["tool_output"] = part.tool_output + if part.duration_ms is not None: + d["duration_ms"] = part.duration_ms + if part.prompt_tokens is not None: + d["prompt_tokens"] = part.prompt_tokens + if part.completion_tokens is not None: + d["completion_tokens"] = part.completion_tokens return d return {} @@ -93,6 +99,9 @@ def from_dict(cls, data: dict) -> "Message": tool_input=p.get("tool_input"), tool_output=p.get("tool_output", ""), tool_status=p.get("tool_status", "pending"), + duration_ms=p.get("duration_ms"), + prompt_tokens=p.get("prompt_tokens"), + completion_tokens=p.get("completion_tokens"), ) ) return cls( diff --git a/openviking/message/part.py b/openviking/message/part.py index 334e1c80..2ba1771f 100644 --- a/openviking/message/part.py +++ b/openviking/message/part.py @@ -40,11 +40,14 @@ class ToolPart: type: Literal["tool"] = "tool" tool_id: str = "" tool_name: str = "" - tool_uri: str = "" # viking://session/{id}/tools/{tool_id} - skill_uri: str = "" # viking://agent/skills/{skill_name} + tool_uri: str = "" # viking://session/{user_space_name}/{session_id}/tools/{tool_id} + skill_uri: str = "" # viking://agent/{agent_space_name}/skills/{skill_name} tool_input: Optional[dict] = None tool_output: str = "" tool_status: str = "pending" # pending | running | completed | error + duration_ms: Optional[float] = None # 执行耗时(毫秒) + prompt_tokens: Optional[int] = None # 输入 Token + completion_tokens: Optional[int] = None # 输出 Token Part = Union[TextPart, ContextPart, ToolPart] @@ -77,6 +80,9 @@ def part_from_dict(data: dict) -> Part: tool_input=data.get("tool_input"), tool_output=data.get("tool_output", ""), tool_status=data.get("tool_status", "pending"), + duration_ms=data.get("duration_ms"), + prompt_tokens=data.get("prompt_tokens"), + completion_tokens=data.get("completion_tokens"), ) else: return TextPart(text=str(data)) diff --git a/openviking/prompts/templates/compression/memory_extraction.yaml b/openviking/prompts/templates/compression/memory_extraction.yaml index 60e46df5..e143e78a 100644 --- a/openviking/prompts/templates/compression/memory_extraction.yaml +++ b/openviking/prompts/templates/compression/memory_extraction.yaml @@ -2,7 +2,7 @@ metadata: id: "compression.memory_extraction" name: "Memory Extraction (Three-Level)" description: "Extract memories from session context using L0/L1/L2 three-level structure" - version: "5.1.0" + version: "5.2.0" language: "en" category: "compression" @@ -14,7 +14,7 @@ variables: default: "" - name: "recent_messages" type: "string" - description: "Recent conversation content" + description: "Recent conversation content, may include [ToolCall] records with tool/skill usage details. Extract tool/skill memories when tool calls are present." required: true - name: "user" type: "string" @@ -53,6 +53,7 @@ template: | - Do not ignore later turns/sentences; extract valid memory signals even when they appear in the latter half. - Instruction-like user requests about assistant behavior (language/style/format/tooling) are extraction targets. - If such a request implies ongoing behavior, extract it as `preferences`; do not drop it as a mere command. + - **Tool/Skill Call Records**: The conversation may contain `[ToolCall]` entries with tool/skill usage details. When present, extract relevant tool/skill memories. {% if feedback %} ## User Feedback @@ -85,6 +86,8 @@ template: | | What happened? | Decision, milestone | events | | How was it solved? | Problem + solution | cases | | What is the process? | Reusable steps | patterns | + | How to use a tool? | Tool optimization, parameters | tools | + | How to execute a skill? | Workflow, strategy | skills | ## Precise Definition of Each Category @@ -132,6 +135,26 @@ template: | - Characteristics: Reusable across multiple scenarios - Test: Can it be used for "similar situations" + **tools** - Tool usage memories (optimization insights) + - Core: Describes "how to best use a specific tool" + - Characteristics: Parameter optimization, success/failure patterns + - Test: Does it contain tool-specific usage insights + - **Source**: Extracted from [ToolCall] records in the conversation + - Examples: + - "web_search works best with specific multi-word queries" + - "read_file should check file size first for large files" + - "execute_code timeout can be avoided by splitting large scripts" + + **skills** - Skill execution memories (workflow insights) + - Core: Describes "how to best execute a specific skill" + - Characteristics: Process optimization, context adaptation, multi-step workflows + - Test: Does it contain skill-specific execution strategies + - **Source**: Analyze the full conversation context to identify skill usage patterns. Skills may involve multiple internal tool calls (shell commands, file operations, etc.) that are NOT shown in [ToolCall] records. You must infer skill execution from the conversation flow. + - Examples: + - "create_ppt works best when collecting materials first" + - "analyze_code should start with understanding project structure" + - "write_document benefits from outline-first approach" + ## Common Confusion Clarification - "Plan to do X" → events (action, not entity) @@ -269,16 +292,42 @@ template: | } ``` + ## tools Example (Merge type) + ✅ **Good**: + ```json + { + "category": "tools", + "tool_name": "web_search", + "abstract": "web_search: Technical docs search optimal, needs specific query terms", + "overview": "## Tool Info\\n- **Name**: web_search\\n- **Type**: external_api\\n\\n## Statistics\\n- **Success Rate**: 92%\\n- **Avg Time**: 2.3s\\n\\n## Best Scenarios\\n- Technical documentation (95%)\\n- Tutorials (90%)\\n\\n## Optimal Parameters\\n- max_results: 5-20\\n- language: 'en'", + "content": "## Recommendations\\n\\n### Query Optimization\\n- Use specific multi-word queries\\n- Add qualifiers like 'tutorial', 'guide'\\n\\n## Good Cases\\n- 'Python asyncio tutorial' → 3 high-quality results\\n\\n## Bad Cases\\n- 'programming' → timeout (too broad)" + } + ``` + + ## skills Example (Merge type) + ✅ **Good**: + ```json + { + "category": "skills", + "skill_name": "create_presentation", + "abstract": "create_presentation: Collect materials first for better efficiency", + "overview": "## Skill Info\\n- **Name**: create_presentation\\n- **Type**: workflow\\n\\n## Statistics\\n- **Success Rate**: 85%\\n- **Avg Time**: 120s\\n\\n## Recommended Flow\\n1. Collect materials\\n2. Generate outline\\n3. Create slides\\n4. Refine content\\n\\n## Key Dependencies\\n- Clear topic\\n- Target audience", + "content": "## Execution Strategy\\n\\n### Preparation\\n1. Confirm topic and audience\\n2. Collect reference materials\\n\\n## Good Cases\\n- Tech sharing: collected asyncio docs first → 90s, high quality\\n\\n## Bad Cases\\n- 'Make a PPT' without topic → multiple reworks needed" + } + ``` + # Output Format Please return JSON format: { "memories": [ { - "category": "profile|preferences|entities|events|cases|patterns", + "category": "profile|preferences|entities|events|cases|patterns|tools|skills", "abstract": "Merge types use `[Merge key]: [Description]`, independent types use specific description", "overview": "Structured Markdown, use different heading templates by category", - "content": "Free Markdown, complete narrative" + "content": "Free Markdown, complete narrative", + "tool_name": "Only for tools category: the tool name from input [ToolCall] record (must copy exactly)", + "skill_name": "Only for skills category: inferred from full conversation context (descriptive name for the skill/workflow)" } ] } @@ -288,6 +337,8 @@ template: | - Only extract truly valuable personalized information - If nothing worth recording, return {"memories": []} - For preferences, keep each memory as one independently updatable facet; do not combine unrelated facets in one memory + - For tools category: tool_name MUST be copied from [ToolCall] tool_name field exactly, do NOT modify it + - For skills category: skill_name should be inferred from the full conversation context (skill may involve internal tools not shown in [ToolCall]). Use a descriptive name that represents the skill/workflow. llm_config: temperature: 0.0 diff --git a/openviking/session/__init__.py b/openviking/session/__init__.py index 7aa033d1..d238cc35 100644 --- a/openviking/session/__init__.py +++ b/openviking/session/__init__.py @@ -10,7 +10,7 @@ MemoryActionDecision, MemoryDeduplicator, ) -from openviking.session.memory_extractor import CandidateMemory, MemoryCategory, MemoryExtractor +from openviking.session.memory_extractor import CandidateMemory, MemoryCategory, MemoryExtractor, ToolSkillCandidateMemory from openviking.session.session import Session, SessionCompression, SessionStats __all__ = [ @@ -25,6 +25,7 @@ "MemoryExtractor", "MemoryCategory", "CandidateMemory", + "ToolSkillCandidateMemory", # Memory Deduplicator "MemoryDeduplicator", "DedupDecision", diff --git a/openviking/session/compressor.py b/openviking/session/compressor.py index 5f1b6c8f..5a43412a 100644 --- a/openviking/session/compressor.py +++ b/openviking/session/compressor.py @@ -19,7 +19,12 @@ from openviking_cli.utils import get_logger from .memory_deduplicator import DedupDecision, MemoryActionDecision, MemoryDeduplicator -from .memory_extractor import CandidateMemory, MemoryCategory, MemoryExtractor +from .memory_extractor import ( + CandidateMemory, + MemoryCategory, + MemoryExtractor, + ToolSkillCandidateMemory, +) logger = get_logger(__name__) @@ -33,6 +38,12 @@ MemoryCategory.PATTERNS, } +# Tool/Skill Memory categories +TOOL_SKILL_CATEGORIES = { + MemoryCategory.TOOLS, + MemoryCategory.SKILLS, +} + @dataclass class ExtractionStats: @@ -142,6 +153,8 @@ async def extract_long_term_memories( stats = ExtractionStats() viking_fs = get_viking_fs() + tool_parts = self._extract_tool_parts(messages) + for candidate in candidates: # Profile: skip dedup, always merge if candidate.category in ALWAYS_MERGE_CATEGORIES: @@ -154,6 +167,29 @@ async def extract_long_term_memories( stats.skipped += 1 continue + # Tool/Skill Memory: 特殊合并逻辑 + if candidate.category in TOOL_SKILL_CATEGORIES: + if isinstance(candidate, ToolSkillCandidateMemory): + tool_name, skill_name, tool_status = self._get_tool_skill_info(candidate, tool_parts) + candidate.tool_status = tool_status + if skill_name: + memory = await self.extractor._merge_skill_memory( + skill_name, candidate, ctx=ctx + ) + elif tool_name: + memory = await self.extractor._merge_tool_memory( + tool_name, candidate, ctx=ctx + ) + else: + logger.warning("No tool_name or skill_name found, skipping") + stats.skipped += 1 + continue + if memory: + memories.append(memory) + stats.merged += 1 + await self._index_memory(memory) + continue + # Dedup check for other categories result = await self.deduplicator.deduplicate(candidate) actions = result.actions or [] @@ -229,6 +265,97 @@ async def extract_long_term_memories( ) return memories + def _extract_tool_parts(self, messages: List[Message]) -> List: + """Extract all ToolPart from messages.""" + from openviking.message.part import ToolPart + + tool_parts = [] + for msg in messages: + for part in getattr(msg, "parts", []): + if isinstance(part, ToolPart): + tool_parts.append(part) + return tool_parts + + def _get_tool_skill_info( + self, candidate: "ToolSkillCandidateMemory", tool_parts: List + ) -> tuple: + """Get tool_name, skill_name and tool_status with calibration from ToolPart. + + LLM candidate provides initial guess, ToolPart provides ground truth for calibration. + For tools: ToolPart.tool_name is authoritative + For skills: Use similarity matching between candidate.skill_name and ToolPart info + + Returns: + (tool_name, skill_name, tool_status) tuple + """ + candidate_tool = candidate.tool_name + candidate_skill = candidate.skill_name + + calibrated_tool = "" + calibrated_skill = "" + tool_status = "completed" + + for part in tool_parts: + if part.skill_uri: + part_skill_name = self._extract_skill_name_from_uri(part.skill_uri) + if candidate_skill: + if self._is_similar_name(candidate_skill, part_skill_name): + calibrated_skill = part_skill_name + tool_status = part.tool_status or "completed" + else: + calibrated_skill = candidate_skill + else: + calibrated_skill = part_skill_name + + elif part.tool_name: + if candidate_tool: + if self._is_similar_name(candidate_tool, part.tool_name): + calibrated_tool = part.tool_name + tool_status = part.tool_status or "completed" + else: + calibrated_tool = candidate_tool + else: + calibrated_tool = part.tool_name + + + if calibrated_skill: + return ("", calibrated_skill, tool_status) + if calibrated_tool: + return (calibrated_tool, "", tool_status) + if candidate_skill: + return ("", candidate_skill, "completed") + if candidate_tool: + return (candidate_tool, "", "completed") + return ("", "", "completed") + + def _is_similar_name(self, name1: str, name2: str) -> bool: + """Check if two names are similar enough to be considered the same. + + Uses simple string similarity for now. Can be extended with LLM-based matching. + """ + if not name1 or not name2: + return False + + n1 = name1.lower().strip().replace("_", "").replace("-", "") + n2 = name2.lower().strip().replace("_", "").replace("-", "") + + if n1 == n2: + return True + + if n1 in n2 or n2 in n1: + return True + + from difflib import SequenceMatcher + ratio = SequenceMatcher(None, n1, n2).ratio() + return ratio >= 0.7 + + def _extract_skill_name_from_uri(self, skill_uri: str) -> str: + """从 skill_uri 提取 skill_name + + 例如: viking://agent/skills/create_presentation -> create_presentation + """ + return skill_uri.rstrip("/").split("/")[-1] + def _extract_used_uris(self, messages: List[Message]) -> Dict[str, List[str]]: """Extract URIs used in messages.""" uris = {"memories": set(), "resources": set(), "skills": set()} @@ -260,29 +387,37 @@ async def _create_relations( resource_uris = used_uris.get("resources", []) skill_uris = used_uris.get("skills", []) - # Memory -> resources/skills + valid_resource_uris = [] + for uri in resource_uris: + if await self._uri_exists(uri, viking_fs, ctx): + valid_resource_uris.append(uri) + + valid_skill_uris = [] + for uri in skill_uris: + if await self._uri_exists(uri, viking_fs, ctx): + valid_skill_uris.append(uri) + for memory_uri in memory_uris: - if resource_uris: + if valid_resource_uris: await viking_fs.link( memory_uri, - resource_uris, + valid_resource_uris, reason="Memory extracted from session using these resources", ctx=ctx, ) - if skill_uris: + if valid_skill_uris: await viking_fs.link( memory_uri, - skill_uris, + valid_skill_uris, reason="Memory extracted from session calling these skills", ctx=ctx, ) - # Resources/skills -> memories (reverse) - for resource_uri in resource_uris: + for resource_uri in valid_resource_uris: await viking_fs.link( resource_uri, memory_uris, reason="Referenced by these memories", ctx=ctx ) - for skill_uri in skill_uris: + for skill_uri in valid_skill_uris: await viking_fs.link( skill_uri, memory_uris, reason="Called by these memories", ctx=ctx ) @@ -290,3 +425,11 @@ async def _create_relations( logger.info(f"Created bidirectional relations for {len(memories)} memories") except Exception as e: logger.error(f"Error creating memory relations: {e}") + + async def _uri_exists(self, uri: str, viking_fs, ctx: RequestContext) -> bool: + """Check if a URI exists.""" + try: + await viking_fs.read_file(uri, ctx=ctx) + return True + except Exception: + return False diff --git a/openviking/session/memory_deduplicator.py b/openviking/session/memory_deduplicator.py index cb038c19..c119ecb8 100644 --- a/openviking/session/memory_deduplicator.py +++ b/openviking/session/memory_deduplicator.py @@ -66,7 +66,7 @@ class MemoryDeduplicator: MAX_PROMPT_SIMILAR_MEMORIES = 5 # Number of similar memories sent to LLM _USER_CATEGORIES = {"preferences", "entities", "events"} - _AGENT_CATEGORIES = {"cases", "patterns"} + _AGENT_CATEGORIES = {"cases", "patterns", "tools", "skills"} @staticmethod def _category_uri_prefix(category: str, user) -> str: diff --git a/openviking/session/memory_extractor.py b/openviking/session/memory_extractor.py index 16349935..5479277c 100644 --- a/openviking/session/memory_extractor.py +++ b/openviking/session/memory_extractor.py @@ -38,6 +38,10 @@ class MemoryCategory(str, Enum): CASES = "cases" # Cases (specific problems + solutions) PATTERNS = "patterns" # Patterns (reusable processes/methods) + # Tool/Skill Memory categories + TOOLS = "tools" # Tool usage memories (optimization, statistics) + SKILLS = "skills" # Skill execution memories (workflow, strategy) + @dataclass class CandidateMemory: @@ -52,6 +56,20 @@ class CandidateMemory: language: str = "auto" +@dataclass +class ToolSkillCandidateMemory(CandidateMemory): + """Tool/Skill Memory 专用候选,扩展名称字段。""" + + tool_name: str = "" # Tool 名称(用于 tools 类别) + skill_name: str = "" # Skill 名称(用于 skills 类别) + # tool_status: str = "completed" # completed | error + duration_ms: int = 0 # 执行耗时(毫秒) + prompt_tokens: int = 0 # 输入 Token + completion_tokens: int = 0 # 输出 Token + call_time: int = 0 # 调用次数 + success_time: int = 0 # 成功调用次数 + + @dataclass class MergedMemoryPayload: """Structured merged memory payload returned by one LLM call.""" @@ -73,6 +91,9 @@ class MemoryExtractor: MemoryCategory.EVENTS: "memories/events", MemoryCategory.CASES: "memories/cases", MemoryCategory.PATTERNS: "memories/patterns", + # Tool/Skill Memory categories + MemoryCategory.TOOLS: "memories/tools", + MemoryCategory.SKILLS: "memories/skills", } # Categories that belong to user space @@ -146,6 +167,65 @@ def _detect_output_language(messages: List, fallback_language: str = "en") -> st return fallback + def _format_message_with_parts(self, msg) -> str: + """格式化单条消息,包含文本和工具调用""" + import json + + from openviking.message.part import ToolPart + + parts = getattr(msg, "parts", []) + lines = [] + + for part in parts: + if hasattr(part, "text") and part.text: + lines.append(part.text) + elif isinstance(part, ToolPart): + tool_info = { + "type": "tool_call", + "tool_name": part.tool_name, + "tool_input": part.tool_input, + "tool_output": part.tool_output[:500] if part.tool_output else "", + "tool_status": part.tool_status, + "duration_ms": part.duration_ms, + } + if part.skill_uri: + skill_name = part.skill_uri.rstrip("/").split("/")[-1] + tool_info["skill_name"] = skill_name + lines.append(f"[ToolCall] {json.dumps(tool_info, ensure_ascii=False)}") + + return "\n".join(lines) if lines else "" + + def _collect_tool_stats_from_messages(self, messages: list) -> dict: + """从消息中收集工具统计数据""" + from openviking.message.part import ToolPart + + stats_map = {} + for msg in messages: + parts = getattr(msg, "parts", []) + for part in parts: + if isinstance(part, ToolPart): + name = part.tool_name + if not name: + continue + if name not in stats_map: + stats_map[name] = { + "duration_ms": 0, + "prompt_tokens": 0, + "completion_tokens": 0, + "success_time": 0, + "call_count": 0, + } + stats_map[name]["call_count"] += 1 + if part.duration_ms is not None: + stats_map[name]["duration_ms"] += part.duration_ms + if part.prompt_tokens is not None: + stats_map[name]["prompt_tokens"] += part.prompt_tokens + if part.completion_tokens is not None: + stats_map[name]["completion_tokens"] += part.completion_tokens + if part.tool_status == "completed": + stats_map[name]["success_time"] += 1 + return stats_map + async def extract( self, context: dict, @@ -159,12 +239,23 @@ async def extract( logger.warning("LLM not available, skipping memory extraction") return [] - # Format all messages messages = context["messages"] - formatted_messages = "\n".join([f"[{m.role}]: {m.content}" for m in messages if m.content]) + + tool_stats_map = self._collect_tool_stats_from_messages(messages) + + # logger.warning(f"tool_stats_map={tool_stats_map}") + + formatted_lines = [] + for m in messages: + msg_content = self._format_message_with_parts(m) + if msg_content: + formatted_lines.append(f"[{m.role}]: {msg_content}") + + formatted_messages = "\n".join(formatted_lines) if not formatted_messages: + logger.warning("No formatted messages, returning empty list") return [] config = get_openviking_config() @@ -173,7 +264,6 @@ async def extract( messages, fallback_language=fallback_language ) - # Call LLM to extract memories prompt = render_prompt( "compression.memory_extraction", { @@ -201,6 +291,7 @@ async def extract( logger.debug("Memory extraction LLM parsed payload: %s", data) candidates = [] + # print(f"memories = {data.get('memories', [])}") for mem in data.get("memories", []): category_str = mem.get("category", "patterns") try: @@ -208,17 +299,42 @@ async def extract( except ValueError: category = MemoryCategory.PATTERNS - candidates.append( - CandidateMemory( - category=category, - abstract=mem.get("abstract", ""), - overview=mem.get("overview", ""), - content=mem.get("content", ""), - source_session=session_id, - user=user, - language=output_language, + # 只在 tools/skills 时使用 ToolSkillCandidateMemory + if category in (MemoryCategory.TOOLS, MemoryCategory.SKILLS): + tool_name = mem.get("tool_name", "") + skill_name = mem.get("skill_name", "") + stats = tool_stats_map.get(tool_name or skill_name, {}) + candidates.append( + ToolSkillCandidateMemory( + category=category, + abstract=mem.get("abstract", ""), + overview=mem.get("overview", ""), + content=mem.get("content", ""), + source_session=session_id, + user=user, + language=output_language, + tool_name=tool_name, + skill_name=skill_name, + call_time=stats.get("call_count",0), + success_time=stats.get("success_time",0), + duration_ms=stats.get("duration_ms", 0), + prompt_tokens=stats.get("prompt_tokens", 0), + completion_tokens=stats.get("completion_tokens", 0), + ) + ) + else: + # 现有逻辑不变,前向兼容 + candidates.append( + CandidateMemory( + category=category, + abstract=mem.get("abstract", ""), + overview=mem.get("overview", ""), + content=mem.get("content", ""), + source_session=session_id, + user=user, + language=output_language, + ) ) - ) logger.info( f"Extracted {len(candidates)} candidate memories (language={output_language})" @@ -412,3 +528,313 @@ async def _merge_memory_bundle( except Exception as e: logger.error(f"Memory merge bundle failed: {e}") return None + + async def _merge_tool_memory( + self, tool_name: str, candidate: CandidateMemory, ctx: "RequestContext" + ) -> Optional[Context]: + """合并 Tool Memory,统计数据用 Python 累加""" + if not tool_name or not tool_name.strip(): + logger.warning("Tool name is empty, skipping tool memory merge") + return None + + agent_space = ctx.user.agent_space_name() + uri = f"viking://agent/{agent_space}/memories/tools/{tool_name}.md" + viking_fs = get_viking_fs() + + if not viking_fs: + logger.warning("VikingFS not available, skipping tool memory merge") + return None + + existing = "" + try: + existing = await viking_fs.read_file(uri, ctx=ctx) or "" + except Exception: + pass + + if isinstance(candidate, ToolSkillCandidateMemory): + new_stats = { + "total_calls": candidate.call_time, + "success_count": candidate.success_time, + "fail_count": candidate.call_time - candidate.success_time, + "total_time_ms": candidate.duration_ms or 0, + "total_tokens": (candidate.prompt_tokens or 0) + (candidate.completion_tokens or 0), + } + else: + new_stats = self._parse_tool_statistics(candidate.content) + if new_stats["total_calls"] == 0: + new_stats["total_calls"] = 1 + tool_status = getattr(candidate, 'tool_status', 'completed') + if tool_status == "error": + new_stats["fail_count"] = 1 + new_stats["success_count"] = 0 + else: + new_stats["success_count"] = 1 + new_stats["fail_count"] = 0 + + if not existing.strip(): + merged_stats = self._compute_statistics_derived(new_stats) + merged_content = self._generate_tool_memory_content(tool_name, merged_stats, candidate) + await viking_fs.write_file(uri=uri, content=merged_content, ctx=ctx) + await self._enqueue_semantic_for_parent(uri, ctx) + return self._create_tool_context(uri, candidate, ctx) + + existing_stats = self._parse_tool_statistics(existing) + merged_stats = self._merge_tool_statistics(existing_stats, new_stats) + merged_content = self._generate_tool_memory_content(tool_name, merged_stats, candidate) + await viking_fs.write_file(uri=uri, content=merged_content, ctx=ctx) + await self._enqueue_semantic_for_parent(uri, ctx) + return self._create_tool_context(uri, candidate, ctx) + + async def _enqueue_semantic_for_parent(self, file_uri: str, ctx: "RequestContext") -> None: + """Enqueue semantic generation for parent directory.""" + try: + from openviking.storage.queuefs import get_queue_manager + from openviking.storage.queuefs.semantic_msg import SemanticMsg + + parent_uri = "/".join(file_uri.rsplit("/", 1)[:-1]) + queue_manager = get_queue_manager() + semantic_queue = queue_manager.get_queue(queue_manager.SEMANTIC, allow_create=True) + msg = SemanticMsg( + uri=parent_uri, + context_type="memory", + account_id=ctx.account_id, + user_id=ctx.user.user_id, + agent_id=ctx.user.agent_id, + role=ctx.role.value, + ) + await semantic_queue.enqueue(msg) + logger.debug(f"Enqueued semantic generation for: {parent_uri}") + except Exception as e: + logger.warning(f"Failed to enqueue semantic generation for {file_uri}: {e}") + + def _compute_statistics_derived(self, stats: dict) -> dict: + """计算派生统计数据(平均值、成功率)""" + if stats["total_calls"] > 0: + stats["avg_time_ms"] = stats["total_time_ms"] / stats["total_calls"] + stats["avg_tokens"] = stats["total_tokens"] / stats["total_calls"] + stats["success_rate"] = stats["success_count"] / stats["total_calls"] + else: + stats["avg_time_ms"] = 0 + stats["avg_tokens"] = 0 + stats["success_rate"] = 0 + return stats + + def _parse_tool_statistics(self, content: str) -> dict: + """从 Markdown 内容中解析统计数据""" + stats = { + "total_calls": 0, + "success_count": 0, + "fail_count": 0, + "total_time_ms": 0, + "total_tokens": 0, + } + + match = re.search(r"总调用次数:\s*(\d+)", content) + if match: + stats["total_calls"] = int(match.group(1)) + + match = re.search(r"成功率:\s*([\d.]+)%", content) + if match: + success_rate = float(match.group(1)) / 100 + stats["success_count"] = int(stats["total_calls"] * success_rate) + stats["fail_count"] = stats["total_calls"] - stats["success_count"] + + match = re.search(r"平均耗时:\s*([\d.]+)ms", content) + if match and stats["total_calls"] > 0: + stats["total_time_ms"] = float(match.group(1)) * stats["total_calls"] + else: + match = re.search(r"平均耗时:\s*([\d.]+)s", content) + if match and stats["total_calls"] > 0: + stats["total_time_ms"] = float(match.group(1)) * 1000 * stats["total_calls"] + + match = re.search(r"平均Token:\s*(\d+)", content) + if match and stats["total_calls"] > 0: + stats["total_tokens"] = int(match.group(1)) * stats["total_calls"] + + return stats + + def _merge_tool_statistics(self, existing: dict, new: dict) -> dict: + """累加统计数据(Python 计算)""" + merged = { + "total_calls": existing["total_calls"] + new["total_calls"], + "success_count": existing["success_count"] + new["success_count"], + "fail_count": existing["fail_count"] + new["fail_count"], + "total_time_ms": existing["total_time_ms"] + new["total_time_ms"], + "total_tokens": existing["total_tokens"] + new["total_tokens"], + } + if merged["total_calls"] > 0: + merged["avg_time_ms"] = merged["total_time_ms"] / merged["total_calls"] + merged["avg_tokens"] = merged["total_tokens"] / merged["total_calls"] + merged["success_rate"] = merged["success_count"] / merged["total_calls"] + return merged + + def _format_ms(self, value_ms: float) -> str: + """格式化毫秒值:默认保留3位小数,很小的值保留至少一个有效数字""" + if value_ms == 0: + return "0.000ms" + formatted = f"{value_ms:.3f}" + if formatted == "0.000": + first_nonzero = -1 + s = f"{value_ms:.20f}" + for i, c in enumerate(s): + if c not in ('0', '.'): + first_nonzero = i + break + if first_nonzero > 0: + decimals_needed = first_nonzero - s.index('.') + 1 + formatted = f"{value_ms:.{decimals_needed}f}" + return f"{formatted}ms" + + def _generate_tool_memory_content( + self, tool_name: str, stats: dict, candidate: CandidateMemory + ) -> str: + """生成合并后的 Tool Memory 内容""" + return f"""## 工具信息 +- **名称**: {tool_name} + +## 调用统计 +- **总调用次数**: {stats["total_calls"]} +- **成功率**: {stats["success_rate"] * 100:.1f}%({stats["success_count"]} 成功,{stats["fail_count"]} 失败) +- **平均耗时**: {self._format_ms(stats["avg_time_ms"])} +- **平均Token**: {int(stats["avg_tokens"])} + +{candidate.content} +""" + + def _create_tool_context( + self, uri: str, candidate: CandidateMemory, ctx: "RequestContext" + ) -> Context: + """创建 Tool Memory 的 Context 对象""" + agent_space = ctx.user.agent_space_name() + return Context( + uri=uri, + parent_uri=f"viking://agent/{agent_space}/memories/tools", + is_leaf=True, + abstract=candidate.abstract, + context_type=ContextType.MEMORY.value, + category=candidate.category.value, + session_id=candidate.source_session, + user=candidate.user, + account_id=ctx.account_id, + owner_space=agent_space, + ) + + async def _merge_skill_memory( + self, skill_name: str, candidate: CandidateMemory, ctx: "RequestContext" + ) -> Optional[Context]: + """合并 Skill Memory,统计数据用 Python 累加""" + if not skill_name or not skill_name.strip(): + logger.warning("Skill name is empty, skipping skill memory merge") + return None + + agent_space = ctx.user.agent_space_name() + uri = f"viking://agent/{agent_space}/memories/skills/{skill_name}.md" + viking_fs = get_viking_fs() + + if not viking_fs: + logger.warning("VikingFS not available, skipping skill memory merge") + return None + + existing = "" + try: + existing = await viking_fs.read_file(uri, ctx=ctx) or "" + except Exception: + pass + + new_stats = self._parse_skill_statistics(candidate.content) + if new_stats["total_executions"] == 0: + new_stats["total_executions"] = 1 + if "error" in candidate.content.lower() or "fail" in candidate.content.lower(): + new_stats["fail_count"] = 1 + new_stats["success_count"] = 0 + else: + new_stats["success_count"] = 1 + new_stats["fail_count"] = 0 + + if not existing.strip(): + merged_stats = self._compute_skill_statistics_derived(new_stats) + merged_content = self._generate_skill_memory_content( + skill_name, merged_stats, candidate + ) + await viking_fs.write_file(uri=uri, content=merged_content, ctx=ctx) + await self._enqueue_semantic_for_parent(uri, ctx) + return self._create_skill_context(uri, candidate, ctx) + + existing_stats = self._parse_skill_statistics(existing) + merged_stats = self._merge_skill_statistics(existing_stats, new_stats) + merged_content = self._generate_skill_memory_content(skill_name, merged_stats, candidate) + await viking_fs.write_file(uri=uri, content=merged_content, ctx=ctx) + await self._enqueue_semantic_for_parent(uri, ctx) + return self._create_skill_context(uri, candidate, ctx) + + def _compute_skill_statistics_derived(self, stats: dict) -> dict: + """计算 Skill 派生统计数据(成功率)""" + if stats["total_executions"] > 0: + stats["success_rate"] = stats["success_count"] / stats["total_executions"] + else: + stats["success_rate"] = 0 + return stats + + def _parse_skill_statistics(self, content: str) -> dict: + """从 Markdown 内容中解析 Skill 统计数据""" + stats = { + "total_executions": 0, + "success_count": 0, + "fail_count": 0, + } + + match = re.search(r"总执行次数:\s*(\d+)", content) + if match: + stats["total_executions"] = int(match.group(1)) + + match = re.search(r"成功率:\s*([\d.]+)%", content) + if match: + success_rate = float(match.group(1)) / 100 + stats["success_count"] = int(stats["total_executions"] * success_rate) + stats["fail_count"] = stats["total_executions"] - stats["success_count"] + + return stats + + def _merge_skill_statistics(self, existing: dict, new: dict) -> dict: + """累加 Skill 统计数据""" + merged = { + "total_executions": existing["total_executions"] + new["total_executions"], + "success_count": existing["success_count"] + new["success_count"], + "fail_count": existing["fail_count"] + new["fail_count"], + } + if merged["total_executions"] > 0: + merged["success_rate"] = merged["success_count"] / merged["total_executions"] + return merged + + def _generate_skill_memory_content( + self, skill_name: str, stats: dict, candidate: CandidateMemory + ) -> str: + """生成合并后的 Skill Memory 内容""" + return f"""## 技能信息 +- **名称**: {skill_name} + +## 执行统计 +- **总执行次数**: {stats["total_executions"]} +- **成功率**: {stats["success_rate"] * 100:.1f}%({stats["success_count"]} 成功,{stats["fail_count"]} 失败) + +## Guildlines +{candidate.content} +""" + + def _create_skill_context( + self, uri: str, candidate: CandidateMemory, ctx: "RequestContext" + ) -> Context: + """创建 Skill Memory 的 Context 对象""" + agent_space = ctx.user.agent_space_name() + return Context( + uri=uri, + parent_uri=f"viking://agent/{agent_space}/memories/skills", + is_leaf=True, + abstract=candidate.abstract, + context_type=ContextType.MEMORY.value, + category=candidate.category.value, + session_id=candidate.source_session, + user=candidate.user, + account_id=ctx.account_id, + owner_space=agent_space, + ) diff --git a/openviking/session/session.py b/openviking/session/session.py index 136823e4..62679223 100644 --- a/openviking/session/session.py +++ b/openviking/session/session.py @@ -524,6 +524,9 @@ def _save_tool_result( "output": output, "status": status, "time": {"created": get_current_timestamp()}, + "duration_ms": tool_part.duration_ms, + "prompt_tokens": tool_part.prompt_tokens, + "completion_tokens": tool_part.completion_tokens, } run_async( self._viking_fs.write_file(