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": "Apache-2.0",
+ "dependencies": {
+ "@pondwader/socks5-server": "^1.0.10",
+ "@types/lodash-es": "^4.17.12",
+ "commander": "^12.1.0",
+ "lodash-es": "^4.17.23",
+ "shell-quote": "^1.8.3",
+ "zod": "^3.24.1"
+ },
+ "bin": {
+ "srt": "dist/cli.js"
+ },
+ "engines": {
+ "node": ">=18.0.0"
+ }
+ },
+ "node_modules/@pondwader/socks5-server": {
+ "version": "1.0.10",
+ "resolved": "https://registry.npmjs.org/@pondwader/socks5-server/-/socks5-server-1.0.10.tgz",
+ "integrity": "sha512-bQY06wzzR8D2+vVCUoBsr5QS2U6UgPUQRmErNwtsuI6vLcyRKkafjkr3KxbtGFf9aBBIV2mcvlsKD1UYaIV+sg==",
+ "license": "MIT"
+ },
+ "node_modules/@types/lodash": {
+ "version": "4.17.23",
+ "resolved": "https://registry.npmjs.org/@types/lodash/-/lodash-4.17.23.tgz",
+ "integrity": "sha512-RDvF6wTulMPjrNdCoYRC8gNR880JNGT8uB+REUpC2Ns4pRqQJhGz90wh7rgdXDPpCczF3VGktDuFGVnz8zP7HA==",
+ "license": "MIT"
+ },
+ "node_modules/@types/lodash-es": {
+ "version": "4.17.12",
+ "resolved": "https://registry.npmjs.org/@types/lodash-es/-/lodash-es-4.17.12.tgz",
+ "integrity": "sha512-0NgftHUcV4v34VhXm8QBSftKVXtbkBG3ViCjs6+eJ5a6y6Mi/jiFGPc1sC7QK+9BFhWrURE3EOggmWaSxL9OzQ==",
+ "license": "MIT",
+ "dependencies": {
+ "@types/lodash": "*"
+ }
+ },
+ "node_modules/commander": {
+ "version": "12.1.0",
+ "resolved": "https://registry.npmjs.org/commander/-/commander-12.1.0.tgz",
+ "integrity": "sha512-Vw8qHK3bZM9y/P10u3Vib8o/DdkvA2OtPtZvD871QKjy74Wj1WSKFILMPRPSdUSx5RFK1arlJzEtA4PkFgnbuA==",
+ "license": "MIT",
+ "engines": {
+ "node": ">=18"
+ }
+ },
+ "node_modules/lodash-es": {
+ "version": "4.17.23",
+ "resolved": "https://registry.npmjs.org/lodash-es/-/lodash-es-4.17.23.tgz",
+ "integrity": "sha512-kVI48u3PZr38HdYz98UmfPnXl2DXrpdctLrFLCd3kOx1xUkOmpFPx7gCWWM5MPkL/fD8zb+Ph0QzjGFs4+hHWg==",
+ "license": "MIT"
+ },
+ "node_modules/shell-quote": {
+ "version": "1.8.3",
+ "resolved": "https://registry.npmjs.org/shell-quote/-/shell-quote-1.8.3.tgz",
+ "integrity": "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="$LOG_DIR/output.log"
+
+# 查找并 kill vikingbot gateway 进程
+echo "Killing existing vikingbot gateway processes..."
+pkill -f "vikingbot gateway" || true
+pkill -f "uvicorn" || true
+pkill -f "agfs" || true
+
+# 等待进程结束
+sleep 1
+
+# 启动 vikingbot gateway
+echo "Starting vikingbot gateway..."
+nohup vikingbot gateway > "$LOG_FILE" 2>&1 &
+PID=$!
+
+echo "VikingBot gateway started with PID: $PID"
+echo "Log file: $LOG_FILE"
+echo ""
+echo "Tailing log file (Ctrl+C to exit)..."
+echo "========================================"
+
+# tail 日志文件
+tail -f "$LOG_FILE"
diff --git a/bot/uv.lock b/bot/uv.lock
new file mode 100644
index 00000000..2bcce976
--- /dev/null
+++ b/bot/uv.lock
@@ -0,0 +1,4108 @@
+version = 1
+revision = 2
+requires-python = ">=3.11, <=3.14"
+resolution-markers = [
+ "python_full_version >= '3.14'",
+ "python_full_version == '3.13.*'",
+ "python_full_version == '3.12.*'",
+ "python_full_version < '3.12'",
+]
+
+[[package]]
+name = "agent-sandbox"
+version = "0.0.23"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "httpx", extra = ["socks"] },
+ { name = "pydantic" },
+ { name = "volcengine-python-sdk" },
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diff --git a/bot/vikingbot/__init__.py b/bot/vikingbot/__init__.py
new file mode 100644
index 00000000..5da12814
--- /dev/null
+++ b/bot/vikingbot/__init__.py
@@ -0,0 +1,6 @@
+"""
+vikingbot - A lightweight AI agent framework
+"""
+
+__version__ = "0.1.0"
+__logo__ = "🐈"
diff --git a/bot/vikingbot/__main__.py b/bot/vikingbot/__main__.py
new file mode 100644
index 00000000..737f3d35
--- /dev/null
+++ b/bot/vikingbot/__main__.py
@@ -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"