release: v0.1.4

feat: stream intermediate progress to user during tool execution

.gitignore

@@ -13,3 +13,10 @@ docs/
 *.pyz
 *.pywz
 *.pyzz
+.venv/
+venv/
+__pycache__/
+poetry.lock
+.pytest_cache/
+botpy.log
+tests/

README.md

@@ -12,23 +12,39 @@
   </p>
 </div>
 
-🐈 **nanobot** is an **ultra-lightweight** personal AI assistant inspired by [Clawdbot](https://github.com/openclaw/openclaw) 
+🐈 **nanobot** is an **ultra-lightweight** personal AI assistant inspired by [OpenClaw](https://github.com/openclaw/openclaw) 
 
 ⚡️ Delivers core agent functionality in just **~4,000** lines of code — **99% smaller** than Clawdbot's 430k+ lines.
 
+📏 Real-time line count: **3,761 lines** (run `bash core_agent_lines.sh` to verify anytime)
+
 ## 📢 News
 
-- **2026-02-01** 🎉 nanobot launched! Welcome to try 🐈 nanobot!
+- **2026-02-16** 🦞 nanobot now integrates a [ClawHub](https://clawhub.ai) skill — search and install public agent skills.
+- **2026-02-15** 🔑 nanobot now supports OpenAI Codex provider with OAuth login support.
+- **2026-02-14** 🔌 nanobot now supports MCP! See [MCP section](#mcp-model-context-protocol) for details.
+- **2026-02-13** 🎉 Released v0.1.3.post7 — includes security hardening and multiple improvements. All users are recommended to upgrade to the latest version. See [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.3.post7) for more details.
+- **2026-02-12** 🧠 Redesigned memory system — Less code, more reliable. Join the [discussion](https://github.com/HKUDS/nanobot/discussions/566) about it!
+- **2026-02-11** ✨ Enhanced CLI experience and added MiniMax support!
+- **2026-02-10** 🎉 Released v0.1.3.post6 with improvements! Check the updates [notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.3.post6) and our [roadmap](https://github.com/HKUDS/nanobot/discussions/431).
+- **2026-02-09** 💬 Added Slack, Email, and QQ support — nanobot now supports multiple chat platforms!
+- **2026-02-08** 🔧 Refactored Providers—adding a new LLM provider now takes just 2 simple steps! Check [here](#providers).
+- **2026-02-07** 🚀 Released v0.1.3.post5 with Qwen support & several key improvements! Check [here](https://github.com/HKUDS/nanobot/releases/tag/v0.1.3.post5) for details.
+- **2026-02-06** ✨ Added Moonshot/Kimi provider, Discord integration, and enhanced security hardening!
+- **2026-02-05** ✨ Added Feishu channel, DeepSeek provider, and enhanced scheduled tasks support!
+- **2026-02-04** 🚀 Released v0.1.3.post4 with multi-provider & Docker support! Check [here](https://github.com/HKUDS/nanobot/releases/tag/v0.1.3.post4) for details.
+- **2026-02-03** ⚡ Integrated vLLM for local LLM support and improved natural language task scheduling!
+- **2026-02-02** 🎉 nanobot officially launched! Welcome to try 🐈 nanobot!
 
 ## Key Features of nanobot:
 
-🪶 **Ultra-Lightweight**: Just ~4,000 lines of code — 99% smaller than Clawdbot - core functionality.
+🪶 **Ultra-Lightweight**: Just ~4,000 lines of core agent code — 99% smaller than Clawdbot.
 
 🔬 **Research-Ready**: Clean, readable code that's easy to understand, modify, and extend for research.
 
 ⚡️ **Lightning Fast**: Minimal footprint means faster startup, lower resource usage, and quicker iterations.
 
-💎 **Easy-to-Use**: One-click to depoly and you're ready to go.
+💎 **Easy-to-Use**: One-click to deploy and you're ready to go.
 
 ## 🏗️ Architecture
 
@@ -85,8 +101,7 @@ pip install nanobot-ai
 
 > [!TIP]
 > Set your API key in `~/.nanobot/config.json`.
-> Get API keys: [OpenRouter](https://openrouter.ai/keys) (LLM) · [Brave Search](https://brave.com/search/api/) (optional, for web search)
+> Get API keys: [OpenRouter](https://openrouter.ai/keys) (Global) · [Brave Search](https://brave.com/search/api/) (optional, for web search)
-> You can also change the model to `minimax/minimax-m2` for lower cost.
 
 **1. Initialize**
 
@@ -96,82 +111,53 @@ nanobot onboard
 
 **2. Configure** (`~/.nanobot/config.json`)
 
+Add or merge these **two parts** into your config (other options have defaults).
+
+*Set your API key* (e.g. OpenRouter, recommended for global users):
 ```json
 {
   "providers": {
     "openrouter": {
       "apiKey": "sk-or-v1-xxx"
     }
-  },
+  }
+}
+```
+
+*Set your model*:
+```json
+{
   "agents": {
     "defaults": {
       "model": "anthropic/claude-opus-4-5"
     }
-  },
-  "tools": {
-    "web": {
-      "search": {
-        "apiKey": "BSA-xxx"
-      }
-    }
   }
 }
 ```
 
-
 **3. Chat**
 
 ```bash
-nanobot agent -m "What is 2+2?"
+nanobot agent
 ```
 
 That's it! You have a working AI assistant in 2 minutes.
 
-## 🖥️ Local Models (vLLM)
-
-Run nanobot with your own local models using vLLM or any OpenAI-compatible server.
-
-**1. Start your vLLM server**
-
-```bash
-vllm serve meta-llama/Llama-3.1-8B-Instruct --port 8000
-```
-
-**2. Configure** (`~/.nanobot/config.json`)
-
-```json
-{
-  "providers": {
-    "vllm": {
-      "apiKey": "dummy",
-      "apiBase": "http://localhost:8000/v1"
-    }
-  },
-  "agents": {
-    "defaults": {
-      "model": "meta-llama/Llama-3.1-8B-Instruct"
-    }
-  }
-}
-```
-
-**3. Chat**
-
-```bash
-nanobot agent -m "Hello from my local LLM!"
-```
-
-> [!TIP]
-> The `apiKey` can be any non-empty string for local servers that don't require authentication.
-
 ## 💬 Chat Apps
 
-Talk to your nanobot through Telegram or WhatsApp — anytime, anywhere.
+Connect nanobot to your favorite chat platform.
 
-| Channel | Setup |
+| Channel | What you need |
-|---------|-------|
+|---------|---------------|
-| **Telegram** | Easy (just a token) |
+| **Telegram** | Bot token from @BotFather |
-| **WhatsApp** | Medium (scan QR) |
+| **Discord** | Bot token + Message Content intent |
+| **WhatsApp** | QR code scan |
+| **Feishu** | App ID + App Secret |
+| **Mochat** | Claw token (auto-setup available) |
+| **DingTalk** | App Key + App Secret |
+| **Slack** | Bot token + App-Level token |
+| **Email** | IMAP/SMTP credentials |
+| **QQ** | App ID + App Secret |
 
 <details>
 <summary><b>Telegram</b> (Recommended)</summary>
@@ -195,7 +181,9 @@ Talk to your nanobot through Telegram or WhatsApp — anytime, anywhere.
 }
 ```
 
-> Get your user ID from `@userinfobot` on Telegram.
+> 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**
 
@@ -205,6 +193,107 @@ nanobot gateway
 
 </details>
 
+<details>
+<summary><b>Mochat (Claw IM)</b></summary>
+
+Uses **Socket.IO WebSocket** by default, with HTTP polling fallback.
+
+**1. Ask nanobot to set up Mochat for you**
+
+Simply send this message to nanobot (replace `xxx@xxx` with your real email):
+
+```
+Read https://raw.githubusercontent.com/HKUDS/MoChat/refs/heads/main/skills/nanobot/skill.md and register on MoChat. My Email account is xxx@xxx Bind me as your owner and DM me on MoChat.
+```
+
+nanobot will automatically register, configure `~/.nanobot/config.json`, and connect to Mochat.
+
+**2. Restart gateway**
+
+```bash
+nanobot gateway
+```
+
+That's it — nanobot handles the rest!
+
+<br>
+
+<details>
+<summary>Manual configuration (advanced)</summary>
+
+If you prefer to configure manually, add the following to `~/.nanobot/config.json`:
+
+> Keep `claw_token` private. It should only be sent in `X-Claw-Token` header to your Mochat API endpoint.
+
+```json
+{
+  "channels": {
+    "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
+    }
+  }
+}
+```
+
+
+
+</details>
+
+</details>
+
+<details>
+<summary><b>Discord</b></summary>
+
+**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": {
+    "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
+nanobot gateway
+```
+
+</details>
+
 <details>
 <summary><b>WhatsApp</b></summary>
 
@@ -242,57 +331,351 @@ nanobot gateway
 
 </details>
 
+<details>
+<summary><b>Feishu (飞书)</b></summary>
+
+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 nanobot first to establish connection)
+- Get **App ID** and **App Secret** from "Credentials & Basic Info"
+- Publish the app
+
+**2. Configure**
+
+```json
+{
+  "channels": {
+    "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
+nanobot gateway
+```
+
+> [!TIP]
+> Feishu uses WebSocket to receive messages — no webhook or public IP needed!
+
+</details>
+
+<details>
+<summary><b>QQ (QQ单聊)</b></summary>
+
+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 nanobot 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": {
+    "qq": {
+      "enabled": true,
+      "appId": "YOUR_APP_ID",
+      "secret": "YOUR_APP_SECRET",
+      "allowFrom": []
+    }
+  }
+}
+```
+
+**4. Run**
+
+```bash
+nanobot gateway
+```
+
+Now send a message to the bot from QQ — it should respond!
+
+</details>
+
+<details>
+<summary><b>DingTalk (钉钉)</b></summary>
+
+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": {
+    "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
+nanobot gateway
+```
+
+</details>
+
+<details>
+<summary><b>Slack</b></summary>
+
+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 nanobot**
+
+```json
+{
+  "channels": {
+    "slack": {
+      "enabled": true,
+      "botToken": "xoxb-...",
+      "appToken": "xapp-...",
+      "groupPolicy": "mention"
+    }
+  }
+}
+```
+
+**4. Run**
+
+```bash
+nanobot 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.
+
+</details>
+
+<details>
+<summary><b>Email</b></summary>
+
+Give nanobot 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-nanobot@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": {
+    "email": {
+      "enabled": true,
+      "consentGranted": true,
+      "imapHost": "imap.gmail.com",
+      "imapPort": 993,
+      "imapUsername": "my-nanobot@gmail.com",
+      "imapPassword": "your-app-password",
+      "smtpHost": "smtp.gmail.com",
+      "smtpPort": 587,
+      "smtpUsername": "my-nanobot@gmail.com",
+      "smtpPassword": "your-app-password",
+      "fromAddress": "my-nanobot@gmail.com",
+      "allowFrom": ["your-real-email@gmail.com"]
+    }
+  }
+}
+```
+
+
+**3. Run**
+
+```bash
+nanobot gateway
+```
+
+</details>
+
+## 🌐 Agent Social Network
+
+🐈 nanobot is capable of linking to the agent social network (agent community). **Just send one message and your nanobot 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 nanobot (via CLI or any chat channel), and it will handle the rest.
+
 ## ⚙️ Configuration
 
 Config file: `~/.nanobot/config.json`
 
 ### Providers
 
-> [!NOTE]
+> [!TIP]
-> Groq provides free voice transcription via Whisper. If configured, Telegram voice messages will be automatically transcribed.
+> - **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 |
 |----------|---------|-------------|
+| `custom` | Any OpenAI-compatible endpoint (direct, no LiteLLM) | — |
 | `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) |
+| `siliconflow` | LLM (SiliconFlow/硅基流动, API gateway) | [siliconflow.cn](https://siliconflow.cn) |
+| `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) | — |
+| `openai_codex` | LLM (Codex, OAuth) | `nanobot provider login openai-codex` |
+| `github_copilot` | LLM (GitHub Copilot, OAuth) | `nanobot provider login github-copilot` |
 
 <details>
-<summary><b>Full config example</b></summary>
+<summary><b>OpenAI Codex (OAuth)</b></summary>
 
+Codex uses OAuth instead of API keys. Requires a ChatGPT Plus or Pro account.
+
+**1. Login:**
+```bash
+nanobot provider login openai-codex
+```
+
+**2. Set model** (merge into `~/.nanobot/config.json`):
 ```json
 {
   "agents": {
     "defaults": {
-      "model": "anthropic/claude-opus-4-5"
+      "model": "openai-codex/gpt-5.1-codex"
     }
-  },
+  }
+}
+```
+
+**3. Chat:**
+```bash
+nanobot agent -m "Hello!"
+```
+
+> Docker users: use `docker run -it` for interactive OAuth login.
+
+</details>
+
+<details>
+<summary><b>Custom Provider (Any OpenAI-compatible API)</b></summary>
+
+Connects directly to any OpenAI-compatible endpoint — LM Studio, llama.cpp, Together AI, Fireworks, Azure OpenAI, or any self-hosted server. Bypasses LiteLLM; model name is passed as-is.
+
+```json
+{
   "providers": {
-    "openrouter": {
+    "custom": {
-      "apiKey": "sk-or-v1-xxx"
+      "apiKey": "your-api-key",
-    },
+      "apiBase": "https://api.your-provider.com/v1"
-    "groq": {
-      "apiKey": "gsk_xxx"
     }
   },
-  "channels": {
+  "agents": {
-    "telegram": {
+    "defaults": {
-      "enabled": true,
+      "model": "your-model-name"
-      "token": "123456:ABC...",
-      "allowFrom": ["123456789"]
-    },
-    "whatsapp": {
-      "enabled": false
     }
-  },
-  "tools": {
-    "web": {
-      "search": {
-        "apiKey": "BSA..."
   }
+}
+```
+
+> For local servers that don't require a key, set `apiKey` to any non-empty string (e.g. `"no-key"`).
+
+</details>
+
+<details>
+<summary><b>vLLM (local / OpenAI-compatible)</b></summary>
+
+Run your own model with vLLM or any OpenAI-compatible server, then add to config:
+
+**1. Start the server** (example):
+```bash
+vllm serve meta-llama/Llama-3.1-8B-Instruct --port 8000
+```
+
+**2. Add to config** (partial — merge into `~/.nanobot/config.json`):
+
+*Provider (key can be any non-empty string for local):*
+```json
+{
+  "providers": {
+    "vllm": {
+      "apiKey": "dummy",
+      "apiBase": "http://localhost:8000/v1"
+    }
+  }
+}
+```
+
+*Model:*
+```json
+{
+  "agents": {
+    "defaults": {
+      "model": "meta-llama/Llama-3.1-8B-Instruct"
     }
   }
 }
@@ -300,6 +683,96 @@ Config file: `~/.nanobot/config.json`
 
 </details>
 
+<details>
+<summary><b>Adding a New Provider (Developer Guide)</b></summary>
+
+nanobot uses a **Provider Registry** (`nanobot/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 `nanobot/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 `nanobot status`
+    litellm_prefix="myprovider",         # auto-prefix: model → myprovider/model
+    skip_prefixes=("myprovider/",),      # don't double-prefix
+)
+```
+
+**Step 2.** Add a field to `ProvidersConfig` in `nanobot/config/schema.py`:
+
+```python
+class ProvidersConfig(BaseModel):
+    ...
+    myprovider: ProviderConfig = ProviderConfig()
+```
+
+That's it! Environment variables, model prefixing, config matching, and `nanobot 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) |
+
+</details>
+
+
+### MCP (Model Context Protocol)
+
+> [!TIP]
+> The config format is compatible with Claude Desktop / Cursor. You can copy MCP server configs directly from any MCP server's README.
+
+nanobot supports [MCP](https://modelcontextprotocol.io/) — connect external tool servers and use them as native agent tools.
+
+Add MCP servers to your `config.json`:
+
+```json
+{
+  "tools": {
+    "mcpServers": {
+      "filesystem": {
+        "command": "npx",
+        "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/dir"]
+      }
+    }
+  }
+}
+```
+
+Two transport modes are supported:
+
+| Mode | Config | Example |
+|------|--------|---------|
+| **Stdio** | `command` + `args` | Local process via `npx` / `uvx` |
+| **HTTP** | `url` | Remote endpoint (`https://mcp.example.com/sse`) |
+
+MCP tools are automatically discovered and registered on startup. The LLM can use them alongside built-in tools — no extra configuration needed.
+
+
+
+
+### Security
+
+> [!TIP]
+> For production deployments, set `"restrictToWorkspace": true` in your config to sandbox the agent.
+
+| Option | Default | Description |
+|--------|---------|-------------|
+| `tools.restrictToWorkspace` | `false` | 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. |
+
+
 ## CLI Reference
 
 | Command | Description |
@@ -307,11 +780,16 @@ Config file: `~/.nanobot/config.json`
 | `nanobot onboard` | Initialize config & workspace |
 | `nanobot agent -m "..."` | Chat with the agent |
 | `nanobot agent` | Interactive chat mode |
+| `nanobot agent --no-markdown` | Show plain-text replies |
+| `nanobot agent --logs` | Show runtime logs during chat |
 | `nanobot gateway` | Start the gateway |
 | `nanobot status` | Show status |
+| `nanobot provider login openai-codex` | OAuth login for providers |
 | `nanobot channels login` | Link WhatsApp (scan QR) |
 | `nanobot channels status` | Show channel status |
 
+Interactive mode exits: `exit`, `quit`, `/exit`, `/quit`, `:q`, or `Ctrl+D`.
+
 <details>
 <summary><b>Scheduled Tasks (Cron)</b></summary>
 
@@ -334,7 +812,21 @@ nanobot cron remove <job_id>
 > [!TIP]
 > The `-v ~/.nanobot:/root/.nanobot` flag mounts your local config directory into the container, so your config and workspace persist across container restarts.
 
-Build and run nanobot in a container:
+### Docker Compose
+
+```bash
+docker compose run --rm nanobot-cli onboard   # first-time setup
+vim ~/.nanobot/config.json                     # add API keys
+docker compose up -d nanobot-gateway           # start gateway
+```
+
+```bash
+docker compose run --rm nanobot-cli agent -m "Hello!"   # run CLI
+docker compose logs -f nanobot-gateway                   # view logs
+docker compose down                                      # stop
+```
+
+### Docker
 
 ```bash
 # Build the image
@@ -346,7 +838,7 @@ docker run -v ~/.nanobot:/root/.nanobot --rm nanobot onboard
 # Edit config on host to add API keys
 vim ~/.nanobot/config.json
 
-# Run gateway (connects to Telegram/WhatsApp)
+# Run gateway (connects to enabled channels, e.g. Telegram/Discord/Mochat)
 docker run -v ~/.nanobot:/root/.nanobot -p 18790:18790 nanobot gateway
 
 # Or run a single command
@@ -366,7 +858,7 @@ nanobot/
 │   ├── subagent.py #    Background task execution
 │   └── tools/      #    Built-in tools (incl. spawn)
 ├── skills/         # 🎯 Bundled skills (github, weather, tmux...)
-├── channels/       # 📱 WhatsApp integration
+├── channels/       # 📱 Chat channel integrations
 ├── bus/            # 🚌 Message routing
 ├── cron/           # ⏰ Scheduled tasks
 ├── heartbeat/      # 💓 Proactive wake-up
@@ -382,17 +874,16 @@ PRs welcome! The codebase is intentionally small and readable. 🤗
 
 **Roadmap** — Pick an item and [open a PR](https://github.com/HKUDS/nanobot/pulls)!
 
-- [x] **Voice Transcription** — Support for Groq Whisper (Issue #13)
 - [ ] **Multi-modal** — See and hear (images, voice, video)
 - [ ] **Long-term memory** — Never forget important context
 - [ ] **Better reasoning** — Multi-step planning and reflection
-- [ ] **More integrations** — Discord, Slack, email, calendar
+- [ ] **More integrations** — Calendar and more
 - [ ] **Self-improvement** — Learn from feedback and mistakes
 
 ### Contributors
 
 <a href="https://github.com/HKUDS/nanobot/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=HKUDS/nanobot" />
+  <img src="https://contrib.rocks/image?repo=HKUDS/nanobot&max=100&columns=12&updated=20260210" alt="Contributors" />
 </a>
 
 

SECURITY.md

@@ -0,0 +1,264 @@
+# Security Policy
+
+## Reporting a Vulnerability
+
+If you discover a security vulnerability in nanobot, 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 (xubinrencs@gmail.com)
+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 ~/.nanobot/config.json
+
+# ❌ Bad: Hardcoding keys in code or committing them
+```
+
+**Recommendations:**
+- Store API keys in `~/.nanobot/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 nanobot 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 nanobot 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 `~/.nanobot/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 nanobot-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 nanobot 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 nanobot-ai
+   ```
+
+2. **Use a Dedicated User**
+   ```bash
+   sudo useradd -m -s /bin/bash nanobot
+   sudo -u nanobot nanobot gateway
+   ```
+
+3. **Set Proper Permissions**
+   ```bash
+   chmod 700 ~/.nanobot
+   chmod 600 ~/.nanobot/config.json
+   chmod 700 ~/.nanobot/whatsapp-auth
+   ```
+
+4. **Enable Logging**
+   ```bash
+   # Configure log monitoring
+   tail -f ~/.nanobot/logs/nanobot.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 nanobot-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 `~/.nanobot` 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" ~/.nanobot/logs/nanobot.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 nanobot:
+
+- [ ] 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/nanobot/security/advisories
+- Release Notes: https://github.com/HKUDS/nanobot/releases
+
+## License
+
+See LICENSE file for details.

bridge/package.json

@@ -11,7 +11,7 @@
   },
   "dependencies": {
     "@whiskeysockets/baileys": "7.0.0-rc.9",
-    "ws": "^8.17.0",
+    "ws": "^8.17.1",
     "qrcode-terminal": "^0.12.0",
     "pino": "^9.0.0"
   },

bridge/src/index.ts

@@ -25,11 +25,12 @@ import { join } from 'path';
 
 const PORT = parseInt(process.env.BRIDGE_PORT || '3001', 10);
 const AUTH_DIR = process.env.AUTH_DIR || join(homedir(), '.nanobot', 'whatsapp-auth');
+const TOKEN = process.env.BRIDGE_TOKEN || undefined;
 
 console.log('🐈 nanobot WhatsApp Bridge');
 console.log('========================\n');
 
-const server = new BridgeServer(PORT, AUTH_DIR);
+const server = new BridgeServer(PORT, AUTH_DIR, TOKEN);
 
 // Handle graceful shutdown
 process.on('SIGINT', async () => {

bridge/src/server.ts

@@ -1,5 +1,6 @@
 /**
  * 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';
@@ -21,12 +22,13 @@ export class BridgeServer {
   private wa: WhatsAppClient | null = null;
   private clients: Set<WebSocket> = new Set();
 
-  constructor(private port: number, private authDir: string) {}
+  constructor(private port: number, private authDir: string, private token?: string) {}
 
   async start(): Promise<void> {
-    // Create WebSocket server
+    // Bind to localhost only — never expose to external network
-    this.wss = new WebSocketServer({ port: this.port });
+    this.wss = new WebSocketServer({ host: '127.0.0.1', port: this.port });
-    console.log(`🌉 Bridge server listening on ws://localhost:${this.port}`);
+    console.log(`🌉 Bridge server listening on ws://127.0.0.1:${this.port}`);
+    if (this.token) console.log('🔒 Token authentication enabled');
 
     // Initialize WhatsApp client
     this.wa = new WhatsAppClient({
@@ -38,7 +40,34 @@ export class BridgeServer {
 
     // 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) => {
@@ -61,10 +90,6 @@ export class BridgeServer {
       console.error('WebSocket error:', error);
       this.clients.delete(ws);
     });
-    });
-
-    // Connect to WhatsApp
-    await this.wa.connect();
   }
 
   private async handleCommand(cmd: SendCommand): Promise<void> {

bridge/src/whatsapp.ts

@@ -20,6 +20,7 @@ const VERSION = '0.1.0';
 export interface InboundMessage {
   id: string;
   sender: string;
+  pn: string;
   content: string;
   timestamp: number;
   isGroup: boolean;
@@ -123,6 +124,7 @@ export class WhatsAppClient {
         this.options.onMessage({
           id: msg.key.id || '',
           sender: msg.key.remoteJid || '',
+          pn: msg.key.remoteJidAlt || '',
           content,
           timestamp: msg.messageTimestamp as number,
           isGroup,

core_agent_lines.sh

@@ -0,0 +1,21 @@
+#!/bin/bash
+# Count core agent lines (excluding channels/, cli/, providers/ adapters)
+cd "$(dirname "$0")" || exit 1
+
+echo "nanobot core agent line count"
+echo "================================"
+echo ""
+
+for dir in agent agent/tools bus config cron heartbeat session utils; do
+  count=$(find "nanobot/$dir" -maxdepth 1 -name "*.py" -exec cat {} + | wc -l)
+  printf "  %-16s %5s lines\n" "$dir/" "$count"
+done
+
+root=$(cat nanobot/__init__.py nanobot/__main__.py | wc -l)
+printf "  %-16s %5s lines\n" "(root)" "$root"
+
+echo ""
+total=$(find nanobot -name "*.py" ! -path "*/channels/*" ! -path "*/cli/*" ! -path "*/providers/*" | xargs cat | wc -l)
+echo "  Core total:     $total lines"
+echo ""
+echo "  (excludes: channels/, cli/, providers/)"

docker-compose.yml

@@ -0,0 +1,31 @@
+x-common-config: &common-config
+  build:
+    context: .
+    dockerfile: Dockerfile
+  volumes:
+    - ~/.nanobot:/root/.nanobot
+
+services:
+  nanobot-gateway:
+    container_name: nanobot-gateway
+    <<: *common-config
+    command: ["gateway"]
+    restart: unless-stopped
+    ports:
+      - 18790:18790
+    deploy:
+      resources:
+        limits:
+          cpus: '1'
+          memory: 1G
+        reservations:
+          cpus: '0.25'
+          memory: 256M
+  
+  nanobot-cli:
+    <<: *common-config
+    profiles:
+      - cli
+    command: ["status"]
+    stdin_open: true
+    tty: true

nanobot/__init__.py

@@ -2,5 +2,5 @@
 nanobot - A lightweight AI agent framework
 """
 
-__version__ = "0.1.0"
+__version__ = "0.1.4"
 __logo__ = "🐈"

nanobot/agent/context.py

@@ -2,6 +2,7 @@
 
 import base64
 import mimetypes
+import platform
 from pathlib import Path
 from typing import Any
 
@@ -72,8 +73,12 @@ Skills with available="false" need dependencies installed first - you can try in
     def _get_identity(self) -> 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()}"
         
         return f"""# nanobot 🐈
 
@@ -85,20 +90,24 @@ You are nanobot, a helpful AI assistant. You have access to tools that allow you
 - Spawn subagents for complex background tasks
 
 ## Current Time
-{now}
+{now} ({tz})
+
+## Runtime
+{runtime}
 
 ## Workspace
 Your workspace is at: {workspace_path}
-- Memory files: {workspace_path}/memory/MEMORY.md
+- Long-term memory: {workspace_path}/memory/MEMORY.md
-- Daily notes: {workspace_path}/memory/YYYY-MM-DD.md
+- History log: {workspace_path}/memory/HISTORY.md (grep-searchable)
 - Custom skills: {workspace_path}/skills/{{skill-name}}/SKILL.md
 
 IMPORTANT: When responding to direct questions or conversations, reply directly with your text response.
 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, explain what you're doing.
+Always be helpful, accurate, and concise. Before calling tools, briefly tell the user what you're about to do (one short sentence in the user's language).
-When remembering something, write to {workspace_path}/memory/MEMORY.md"""
+When remembering something important, write to {workspace_path}/memory/MEMORY.md
+To recall past events, grep {workspace_path}/memory/HISTORY.md"""
     
     def _load_bootstrap_files(self) -> str:
         """Load all bootstrap files from workspace."""
@@ -118,6 +127,8 @@ When remembering something, write to {workspace_path}/memory/MEMORY.md"""
         current_message: str,
         skill_names: list[str] | None = None,
         media: list[str] | None = None,
+        channel: str | None = None,
+        chat_id: str | None = None,
     ) -> list[dict[str, Any]]:
         """
         Build the complete message list for an LLM call.
@@ -127,6 +138,8 @@ When remembering something, write to {workspace_path}/memory/MEMORY.md"""
             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.
@@ -135,6 +148,8 @@ When remembering something, write to {workspace_path}/memory/MEMORY.md"""
 
         # System prompt
         system_prompt = self.build_system_prompt(skill_names)
+        if channel and chat_id:
+            system_prompt += f"\n\n## Current Session\nChannel: {channel}\nChat ID: {chat_id}"
         messages.append({"role": "system", "content": system_prompt})
 
         # History
@@ -195,7 +210,8 @@ When remembering something, write to {workspace_path}/memory/MEMORY.md"""
         self,
         messages: list[dict[str, Any]],
         content: str | None,
-        tool_calls: list[dict[str, Any]] | None = 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.
@@ -204,14 +220,23 @@ When remembering something, write to {workspace_path}/memory/MEMORY.md"""
             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 ""}
+        msg: dict[str, Any] = {"role": "assistant"}
+
+        # Omit empty content — some backends reject empty text blocks
+        if content:
+            msg["content"] = content
 
         if tool_calls:
             msg["tool_calls"] = tool_calls
 
+        # Include reasoning content when provided (required by some thinking models)
+        if reasoning_content:
+            msg["reasoning_content"] = reasoning_content
+
         messages.append(msg)
         return messages

nanobot/agent/loop.py

@@ -1,9 +1,12 @@
 """Agent loop: the core processing engine."""
 
 import asyncio
+from contextlib import AsyncExitStack
 import json
+import json_repair
 from pathlib import Path
-from typing import Any
+import re
+from typing import Any, Awaitable, Callable
 
 from loguru import logger
 
@@ -17,8 +20,10 @@ from nanobot.agent.tools.shell import ExecTool
 from nanobot.agent.tools.web import WebSearchTool, WebFetchTool
 from nanobot.agent.tools.message import MessageTool
 from nanobot.agent.tools.spawn import SpawnTool
+from nanobot.agent.tools.cron import CronTool
+from nanobot.agent.memory import MemoryStore
 from nanobot.agent.subagent import SubagentManager
-from nanobot.session.manager import SessionManager
+from nanobot.session.manager import Session, SessionManager
 
 
 class AgentLoop:
@@ -40,46 +45,66 @@ class AgentLoop:
         workspace: Path,
         model: str | None = None,
         max_iterations: int = 20,
+        temperature: float = 0.7,
+        max_tokens: int = 4096,
+        memory_window: int = 50,
         brave_api_key: str | None = None,
         exec_config: "ExecToolConfig | None" = None,
+        cron_service: "CronService | None" = None,
+        restrict_to_workspace: bool = False,
+        session_manager: SessionManager | None = None,
+        mcp_servers: dict | None = None,
     ):
         from nanobot.config.schema import ExecToolConfig
+        from nanobot.cron.service import CronService
         self.bus = bus
         self.provider = provider
         self.workspace = workspace
         self.model = model or provider.get_default_model()
         self.max_iterations = max_iterations
+        self.temperature = temperature
+        self.max_tokens = max_tokens
+        self.memory_window = memory_window
         self.brave_api_key = brave_api_key
         self.exec_config = exec_config or ExecToolConfig()
+        self.cron_service = cron_service
+        self.restrict_to_workspace = restrict_to_workspace
 
         self.context = ContextBuilder(workspace)
-        self.sessions = SessionManager(workspace)
+        self.sessions = session_manager or SessionManager(workspace)
         self.tools = ToolRegistry()
         self.subagents = SubagentManager(
             provider=provider,
             workspace=workspace,
             bus=bus,
             model=self.model,
+            temperature=self.temperature,
+            max_tokens=self.max_tokens,
             brave_api_key=brave_api_key,
             exec_config=self.exec_config,
+            restrict_to_workspace=restrict_to_workspace,
         )
         
         self._running = False
+        self._mcp_servers = mcp_servers or {}
+        self._mcp_stack: AsyncExitStack | None = None
+        self._mcp_connected = False
         self._register_default_tools()
     
     def _register_default_tools(self) -> None:
         """Register the default set of tools."""
-        # File tools
+        # File tools (restrict to workspace if configured)
-        self.tools.register(ReadFileTool())
+        allowed_dir = self.workspace if self.restrict_to_workspace else None
-        self.tools.register(WriteFileTool())
+        self.tools.register(ReadFileTool(allowed_dir=allowed_dir))
-        self.tools.register(EditFileTool())
+        self.tools.register(WriteFileTool(allowed_dir=allowed_dir))
-        self.tools.register(ListDirTool())
+        self.tools.register(EditFileTool(allowed_dir=allowed_dir))
+        self.tools.register(ListDirTool(allowed_dir=allowed_dir))
         
         # Shell tool
         self.tools.register(ExecTool(
             working_dir=str(self.workspace),
             timeout=self.exec_config.timeout,
-            restrict_to_workspace=self.exec_config.restrict_to_workspace,
+            restrict_to_workspace=self.restrict_to_workspace,
         ))
         
         # Web tools
@@ -94,27 +119,135 @@ class AgentLoop:
         spawn_tool = SpawnTool(manager=self.subagents)
         self.tools.register(spawn_tool)
         
+        # Cron tool (for scheduling)
+        if self.cron_service:
+            self.tools.register(CronTool(self.cron_service))
+    
+    async def _connect_mcp(self) -> None:
+        """Connect to configured MCP servers (one-time, lazy)."""
+        if self._mcp_connected or not self._mcp_servers:
+            return
+        self._mcp_connected = True
+        from nanobot.agent.tools.mcp import connect_mcp_servers
+        self._mcp_stack = AsyncExitStack()
+        await self._mcp_stack.__aenter__()
+        await connect_mcp_servers(self._mcp_servers, self.tools, self._mcp_stack)
+
+    def _set_tool_context(self, channel: str, chat_id: str) -> None:
+        """Update context for all tools that need routing info."""
+        if message_tool := self.tools.get("message"):
+            if isinstance(message_tool, MessageTool):
+                message_tool.set_context(channel, chat_id)
+
+        if spawn_tool := self.tools.get("spawn"):
+            if isinstance(spawn_tool, SpawnTool):
+                spawn_tool.set_context(channel, chat_id)
+
+        if cron_tool := self.tools.get("cron"):
+            if isinstance(cron_tool, CronTool):
+                cron_tool.set_context(channel, chat_id)
+
+    @staticmethod
+    def _strip_think(text: str | None) -> str | None:
+        """Remove <think>…</think> blocks that some models embed in content."""
+        if not text:
+            return None
+        return re.sub(r"<think>[\s\S]*?</think>", "", text).strip() or None
+
+    @staticmethod
+    def _tool_hint(tool_calls: list) -> str:
+        """Format tool calls as concise hint, e.g. 'web_search("query")'."""
+        def _fmt(tc):
+            val = next(iter(tc.arguments.values()), None) if tc.arguments else None
+            if not isinstance(val, str):
+                return tc.name
+            return f'{tc.name}("{val[:40]}…")' if len(val) > 40 else f'{tc.name}("{val}")'
+        return ", ".join(_fmt(tc) for tc in tool_calls)
+
+    async def _run_agent_loop(
+        self,
+        initial_messages: list[dict],
+        on_progress: Callable[[str], Awaitable[None]] | None = None,
+    ) -> tuple[str | None, list[str]]:
+        """
+        Run the agent iteration loop.
+
+        Args:
+            initial_messages: Starting messages for the LLM conversation.
+            on_progress: Optional callback to push intermediate content to the user.
+
+        Returns:
+            Tuple of (final_content, list_of_tools_used).
+        """
+        messages = initial_messages
+        iteration = 0
+        final_content = None
+        tools_used: list[str] = []
+
+        while iteration < self.max_iterations:
+            iteration += 1
+
+            response = await self.provider.chat(
+                messages=messages,
+                tools=self.tools.get_definitions(),
+                model=self.model,
+                temperature=self.temperature,
+                max_tokens=self.max_tokens,
+            )
+
+            if response.has_tool_calls:
+                if on_progress:
+                    clean = self._strip_think(response.content)
+                    await on_progress(clean or self._tool_hint(response.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:
+                    tools_used.append(tool_call.name)
+                    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)
+                    messages = self.context.add_tool_result(
+                        messages, tool_call.id, tool_call.name, result
+                    )
+            else:
+                final_content = self._strip_think(response.content)
+                break
+
+        return final_content, tools_used
+
     async def run(self) -> None:
         """Run the agent loop, processing messages from the bus."""
         self._running = True
+        await self._connect_mcp()
         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.error(f"Error processing message: {e}")
-                    # Send error response
                     await self.bus.publish_outbound(OutboundMessage(
                         channel=msg.channel,
                         chat_id=msg.chat_id,
@@ -123,104 +256,106 @@ class AgentLoop:
             except asyncio.TimeoutError:
                 continue
     
+    async def close_mcp(self) -> None:
+        """Close MCP connections."""
+        if self._mcp_stack:
+            try:
+                await self._mcp_stack.aclose()
+            except (RuntimeError, BaseExceptionGroup):
+                pass  # MCP SDK cancel scope cleanup is noisy but harmless
+            self._mcp_stack = None
+
     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:
+    async def _process_message(
+        self,
+        msg: InboundMessage,
+        session_key: str | None = None,
+        on_progress: Callable[[str], Awaitable[None]] | None = None,
+    ) -> OutboundMessage | None:
         """
         Process a single inbound message.
         
         Args:
             msg: The inbound message to process.
+            session_key: Override session key (used by process_direct).
+            on_progress: Optional callback for intermediate output (defaults to bus publish).
         
         Returns:
             The response message, or None if no response needed.
         """
-        # Handle system messages (subagent announces)
+        # System messages route back via chat_id ("channel:chat_id")
-        # The chat_id contains the original "channel:chat_id" to route back to
         if msg.channel == "system":
             return await self._process_system_message(msg)
         
-        logger.info(f"Processing message from {msg.channel}:{msg.sender_id}")
+        preview = msg.content[:80] + "..." if len(msg.content) > 80 else msg.content
+        logger.info(f"Processing message from {msg.channel}:{msg.sender_id}: {preview}")
         
-        # Get or create session
+        key = session_key or msg.session_key
-        session = self.sessions.get_or_create(msg.session_key)
+        session = self.sessions.get_or_create(key)
         
-        # Update tool contexts
+        # Handle slash commands
-        message_tool = self.tools.get("message")
+        cmd = msg.content.strip().lower()
-        if isinstance(message_tool, MessageTool):
+        if cmd == "/new":
-            message_tool.set_context(msg.channel, msg.chat_id)
+            # Capture messages before clearing (avoid race condition with background task)
+            messages_to_archive = session.messages.copy()
+            session.clear()
+            self.sessions.save(session)
+            self.sessions.invalidate(session.key)
 
-        spawn_tool = self.tools.get("spawn")
+            async def _consolidate_and_cleanup():
-        if isinstance(spawn_tool, SpawnTool):
+                temp_session = Session(key=session.key)
-            spawn_tool.set_context(msg.channel, msg.chat_id)
+                temp_session.messages = messages_to_archive
+                await self._consolidate_memory(temp_session, archive_all=True)
 
-        # Build initial messages (use get_history for LLM-formatted messages)
+            asyncio.create_task(_consolidate_and_cleanup())
-        messages = self.context.build_messages(
+            return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id,
-            history=session.get_history(),
+                                  content="New session started. Memory consolidation in progress.")
+        if cmd == "/help":
+            return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id,
+                                  content="🐈 nanobot commands:\n/new — Start a new conversation\n/help — Show available commands")
+        
+        if len(session.messages) > self.memory_window:
+            asyncio.create_task(self._consolidate_memory(session))
+
+        self._set_tool_context(msg.channel, msg.chat_id)
+        initial_messages = self.context.build_messages(
+            history=session.get_history(max_messages=self.memory_window),
             current_message=msg.content,
             media=msg.media if msg.media else None,
+            channel=msg.channel,
+            chat_id=msg.chat_id,
         )
 
-        # Agent loop
+        async def _bus_progress(content: str) -> None:
-        iteration = 0
+            await self.bus.publish_outbound(OutboundMessage(
-        final_content = None
+                channel=msg.channel, chat_id=msg.chat_id, content=content,
+                metadata=msg.metadata or {},
+            ))
 
-        while iteration < self.max_iterations:
+        final_content, tools_used = await self._run_agent_loop(
-            iteration += 1
+            initial_messages, on_progress=on_progress or _bus_progress,
-            
-            # Call LLM
-            response = await self.provider.chat(
-                messages=messages,
-                tools=self.tools.get_definitions(),
-                model=self.model
         )
 
-            # Handle tool calls
-            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)  # Must be JSON string
-                        }
-                    }
-                    for tc in response.tool_calls
-                ]
-                messages = self.context.add_assistant_message(
-                    messages, response.content, tool_call_dicts
-                )
-                
-                # Execute tools
-                for tool_call in response.tool_calls:
-                    args_str = json.dumps(tool_call.arguments)
-                    logger.debug(f"Executing tool: {tool_call.name} with arguments: {args_str}")
-                    result = await self.tools.execute(tool_call.name, tool_call.arguments)
-                    messages = self.context.add_tool_result(
-                        messages, tool_call.id, tool_call.name, result
-                    )
-            else:
-                # No tool calls, we're done
-                final_content = response.content
-                break
-        
         if final_content is None:
             final_content = "I've completed processing but have no response to give."
         
-        # Save to session
+        preview = final_content[:120] + "..." if len(final_content) > 120 else final_content
+        logger.info(f"Response to {msg.channel}:{msg.sender_id}: {preview}")
+        
         session.add_message("user", msg.content)
-        session.add_message("assistant", final_content)
+        session.add_message("assistant", final_content,
+                            tools_used=tools_used if tools_used else None)
         self.sessions.save(session)
         
         return OutboundMessage(
             channel=msg.channel,
             chat_id=msg.chat_id,
-            content=final_content
+            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:
@@ -242,69 +377,20 @@ class AgentLoop:
             origin_channel = "cli"
             origin_chat_id = msg.chat_id
         
-        # Use the origin session for context
         session_key = f"{origin_channel}:{origin_chat_id}"
         session = self.sessions.get_or_create(session_key)
-        
+        self._set_tool_context(origin_channel, origin_chat_id)
-        # Update tool contexts
+        initial_messages = self.context.build_messages(
-        message_tool = self.tools.get("message")
+            history=session.get_history(max_messages=self.memory_window),
-        if isinstance(message_tool, MessageTool):
+            current_message=msg.content,
-            message_tool.set_context(origin_channel, origin_chat_id)
+            channel=origin_channel,
-        
+            chat_id=origin_chat_id,
-        spawn_tool = self.tools.get("spawn")
-        if isinstance(spawn_tool, SpawnTool):
-            spawn_tool.set_context(origin_channel, origin_chat_id)
-        
-        # Build messages with the announce content
-        messages = self.context.build_messages(
-            history=session.get_history(),
-            current_message=msg.content
         )
-        
+        final_content, _ = await self._run_agent_loop(initial_messages)
-        # 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
-                )
-                
-                for tool_call in response.tool_calls:
-                    args_str = json.dumps(tool_call.arguments)
-                    logger.debug(f"Executing tool: {tool_call.name} with arguments: {args_str}")
-                    result = await self.tools.execute(tool_call.name, tool_call.arguments)
-                    messages = self.context.add_tool_result(
-                        messages, tool_call.id, tool_call.name, result
-                    )
-            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)
@@ -315,23 +401,119 @@ class AgentLoop:
             content=final_content
         )
     
-    async def process_direct(self, content: str, session_key: str = "cli:direct") -> str:
+    async def _consolidate_memory(self, session, archive_all: bool = False) -> None:
+        """Consolidate old messages into MEMORY.md + HISTORY.md.
+
+        Args:
+            archive_all: If True, clear all messages and reset session (for /new command).
+                       If False, only write to files without modifying session.
         """
-        Process a message directly (for CLI usage).
+        memory = MemoryStore(self.workspace)
+
+        if archive_all:
+            old_messages = session.messages
+            keep_count = 0
+            logger.info(f"Memory consolidation (archive_all): {len(session.messages)} total messages archived")
+        else:
+            keep_count = self.memory_window // 2
+            if len(session.messages) <= keep_count:
+                logger.debug(f"Session {session.key}: No consolidation needed (messages={len(session.messages)}, keep={keep_count})")
+                return
+
+            messages_to_process = len(session.messages) - session.last_consolidated
+            if messages_to_process <= 0:
+                logger.debug(f"Session {session.key}: No new messages to consolidate (last_consolidated={session.last_consolidated}, total={len(session.messages)})")
+                return
+
+            old_messages = session.messages[session.last_consolidated:-keep_count]
+            if not old_messages:
+                return
+            logger.info(f"Memory consolidation started: {len(session.messages)} total, {len(old_messages)} new to consolidate, {keep_count} keep")
+
+        lines = []
+        for m in old_messages:
+            if not m.get("content"):
+                continue
+            tools = f" [tools: {', '.join(m['tools_used'])}]" if m.get("tools_used") else ""
+            lines.append(f"[{m.get('timestamp', '?')[:16]}] {m['role'].upper()}{tools}: {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 not text:
+                logger.warning("Memory consolidation: LLM returned empty response, skipping")
+                return
+            if text.startswith("```"):
+                text = text.split("\n", 1)[-1].rsplit("```", 1)[0].strip()
+            result = json_repair.loads(text)
+            if not isinstance(result, dict):
+                logger.warning(f"Memory consolidation: unexpected response type, skipping. Response: {text[:200]}")
+                return
+
+            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)
+
+            if archive_all:
+                session.last_consolidated = 0
+            else:
+                session.last_consolidated = len(session.messages) - keep_count
+            logger.info(f"Memory consolidation done: {len(session.messages)} messages, last_consolidated={session.last_consolidated}")
+        except Exception as e:
+            logger.error(f"Memory consolidation failed: {e}")
+
+    async def process_direct(
+        self,
+        content: str,
+        session_key: str = "cli:direct",
+        channel: str = "cli",
+        chat_id: str = "direct",
+        on_progress: Callable[[str], Awaitable[None]] | None = None,
+    ) -> str:
+        """
+        Process a message directly (for CLI or cron usage).
         
         Args:
             content: The message content.
-            session_key: Session identifier.
+            session_key: Session identifier (overrides channel:chat_id for session lookup).
+            channel: Source channel (for tool context routing).
+            chat_id: Source chat ID (for tool context routing).
+            on_progress: Optional callback for intermediate output.
         
         Returns:
             The agent's response.
         """
+        await self._connect_mcp()
         msg = InboundMessage(
-            channel="cli",
+            channel=channel,
             sender_id="user",
-            chat_id="direct",
+            chat_id=chat_id,
             content=content
         )
         
-        response = await self._process_message(msg)
+        response = await self._process_message(msg, session_key=session_key, on_progress=on_progress)
         return response.content if response else ""

nanobot/agent/memory.py

@@ -1,109 +1,30 @@
 """Memory system for persistent agent memory."""
 
 from pathlib import Path
-from datetime import datetime
 
-from nanobot.utils.helpers import ensure_dir, today_date
+from nanobot.utils.helpers import ensure_dir
 
 
 class MemoryStore:
-    """
+    """Two-layer memory: MEMORY.md (long-term facts) + HISTORY.md (grep-searchable log)."""
-    Memory system for the agent.
-    
-    Supports daily notes (memory/YYYY-MM-DD.md) and long-term memory (MEMORY.md).
-    """
 
     def __init__(self, workspace: Path):
-        self.workspace = workspace
         self.memory_dir = ensure_dir(workspace / "memory")
         self.memory_file = self.memory_dir / "MEMORY.md"
-    
+        self.history_file = self.memory_dir / "HISTORY.md"
-    def get_today_file(self) -> Path:
-        """Get path to today's memory file."""
-        return self.memory_dir / f"{today_date()}.md"
-    
-    def read_today(self) -> str:
-        """Read today's memory notes."""
-        today_file = self.get_today_file()
-        if today_file.exists():
-            return today_file.read_text(encoding="utf-8")
-        return ""
-    
-    def append_today(self, content: str) -> None:
-        """Append content to today's memory notes."""
-        today_file = self.get_today_file()
-        
-        if today_file.exists():
-            existing = today_file.read_text(encoding="utf-8")
-            content = existing + "\n" + content
-        else:
-            # Add header for new day
-            header = f"# {today_date()}\n\n"
-            content = header + content
-        
-        today_file.write_text(content, encoding="utf-8")
 
     def read_long_term(self) -> str:
-        """Read long-term memory (MEMORY.md)."""
         if self.memory_file.exists():
             return self.memory_file.read_text(encoding="utf-8")
         return ""
 
     def write_long_term(self, content: str) -> None:
-        """Write to long-term memory (MEMORY.md)."""
         self.memory_file.write_text(content, encoding="utf-8")
 
-    def get_recent_memories(self, days: int = 7) -> str:
+    def append_history(self, entry: str) -> None:
-        """
+        with open(self.history_file, "a", encoding="utf-8") as f:
-        Get memories from the last N days.
+            f.write(entry.rstrip() + "\n\n")
-        
-        Args:
-            days: Number of days to look back.
-        
-        Returns:
-            Combined memory content.
-        """
-        from datetime import timedelta
-        
-        memories = []
-        today = datetime.now().date()
-        
-        for i in range(days):
-            date = today - timedelta(days=i)
-            date_str = date.strftime("%Y-%m-%d")
-            file_path = self.memory_dir / f"{date_str}.md"
-            
-            if file_path.exists():
-                content = file_path.read_text(encoding="utf-8")
-                memories.append(content)
-        
-        return "\n\n---\n\n".join(memories)
-    
-    def list_memory_files(self) -> list[Path]:
-        """List all memory files sorted by date (newest first)."""
-        if not self.memory_dir.exists():
-            return []
-        
-        files = list(self.memory_dir.glob("????-??-??.md"))
-        return sorted(files, reverse=True)
 
     def get_memory_context(self) -> str:
-        """
-        Get memory context for the agent.
-        
-        Returns:
-            Formatted memory context including long-term and recent memories.
-        """
-        parts = []
-        
-        # Long-term memory
         long_term = self.read_long_term()
-        if long_term:
+        return f"## Long-term Memory\n{long_term}" if long_term else ""
-            parts.append("## Long-term Memory\n" + long_term)
-        
-        # Today's notes
-        today = self.read_today()
-        if today:
-            parts.append("## Today's Notes\n" + today)
-        
-        return "\n\n".join(parts) if parts else ""

nanobot/agent/skills.py

@@ -167,10 +167,10 @@ class SkillsLoader:
         return content
     
     def _parse_nanobot_metadata(self, raw: str) -> dict:
-        """Parse nanobot metadata JSON from frontmatter."""
+        """Parse skill metadata JSON from frontmatter (supports nanobot and openclaw keys)."""
         try:
             data = json.loads(raw)
-            return data.get("nanobot", {}) if isinstance(data, dict) else {}
+            return data.get("nanobot", data.get("openclaw", {})) if isinstance(data, dict) else {}
         except (json.JSONDecodeError, TypeError):
             return {}
     

nanobot/agent/subagent.py

@@ -12,7 +12,7 @@ from nanobot.bus.events import InboundMessage
 from nanobot.bus.queue import MessageBus
 from nanobot.providers.base import LLMProvider
 from nanobot.agent.tools.registry import ToolRegistry
-from nanobot.agent.tools.filesystem import ReadFileTool, WriteFileTool, ListDirTool
+from nanobot.agent.tools.filesystem import ReadFileTool, WriteFileTool, EditFileTool, ListDirTool
 from nanobot.agent.tools.shell import ExecTool
 from nanobot.agent.tools.web import WebSearchTool, WebFetchTool
 
@@ -32,16 +32,22 @@ class SubagentManager:
         workspace: Path,
         bus: MessageBus,
         model: str | None = None,
+        temperature: float = 0.7,
+        max_tokens: int = 4096,
         brave_api_key: str | None = None,
         exec_config: "ExecToolConfig | None" = None,
+        restrict_to_workspace: bool = False,
     ):
         from nanobot.config.schema import ExecToolConfig
         self.provider = provider
         self.workspace = workspace
         self.bus = bus
         self.model = model or provider.get_default_model()
+        self.temperature = temperature
+        self.max_tokens = max_tokens
         self.brave_api_key = brave_api_key
         self.exec_config = exec_config or ExecToolConfig()
+        self.restrict_to_workspace = restrict_to_workspace
         self._running_tasks: dict[str, asyncio.Task[None]] = {}
     
     async def spawn(
@@ -96,13 +102,15 @@ class SubagentManager:
         try:
             # Build subagent tools (no message tool, no spawn tool)
             tools = ToolRegistry()
-            tools.register(ReadFileTool())
+            allowed_dir = self.workspace if self.restrict_to_workspace else None
-            tools.register(WriteFileTool())
+            tools.register(ReadFileTool(allowed_dir=allowed_dir))
-            tools.register(ListDirTool())
+            tools.register(WriteFileTool(allowed_dir=allowed_dir))
+            tools.register(EditFileTool(allowed_dir=allowed_dir))
+            tools.register(ListDirTool(allowed_dir=allowed_dir))
             tools.register(ExecTool(
                 working_dir=str(self.workspace),
                 timeout=self.exec_config.timeout,
-                restrict_to_workspace=self.exec_config.restrict_to_workspace,
+                restrict_to_workspace=self.restrict_to_workspace,
             ))
             tools.register(WebSearchTool(api_key=self.brave_api_key))
             tools.register(WebFetchTool())
@@ -126,6 +134,8 @@ class SubagentManager:
                     messages=messages,
                     tools=tools.get_definitions(),
                     model=self.model,
+                    temperature=self.temperature,
+                    max_tokens=self.max_tokens,
                 )
                 
                 if response.has_tool_calls:
@@ -149,7 +159,8 @@ class SubagentManager:
                     
                     # Execute tools
                     for tool_call in response.tool_calls:
-                        logger.debug(f"Subagent [{task_id}] executing: {tool_call.name}")
+                        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)
                         messages.append({
                             "role": "tool",
@@ -206,12 +217,17 @@ Summarize this naturally for the user. Keep it brief (1-2 sentences). Do not men
     
     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
 
-You are a subagent spawned by the main agent to complete a specific task.
+## Current Time
+{now} ({tz})
 
-## Your Task
+You are a subagent spawned by the main agent to complete a specific task.
-{task}
 
 ## Rules
 1. Stay focused - complete only the assigned task, nothing else
@@ -232,6 +248,7 @@ You are a subagent spawned by the main agent to complete a specific task.
 
 ## 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."""
     

nanobot/agent/tools/cron.py

@@ -0,0 +1,147 @@
+"""Cron tool for scheduling reminders and tasks."""
+
+from typing import Any
+
+from nanobot.agent.tools.base import Tool
+from nanobot.cron.service import CronService
+from nanobot.cron.types import CronSchedule
+
+
+class CronTool(Tool):
+    """Tool to schedule reminders and recurring tasks."""
+    
+    def __init__(self, cron_service: CronService):
+        self._cron = cron_service
+        self._channel = ""
+        self._chat_id = ""
+    
+    def set_context(self, channel: str, chat_id: str) -> None:
+        """Set the current session context for delivery."""
+        self._channel = channel
+        self._chat_id = chat_id
+    
+    @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"
+                },
+                "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)"
+                },
+                "tz": {
+                    "type": "string",
+                    "description": "IANA timezone for cron expressions (e.g. 'America/Vancouver')"
+                },
+                "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,
+        action: str,
+        message: str = "",
+        every_seconds: int | None = None,
+        cron_expr: str | None = None,
+        tz: str | None = None,
+        at: str | None = None,
+        job_id: str | None = None,
+        **kwargs: Any
+    ) -> str:
+        if action == "add":
+            return self._add_job(message, every_seconds, cron_expr, tz, at)
+        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,
+        message: str,
+        every_seconds: int | None,
+        cron_expr: str | None,
+        tz: str | None,
+        at: str | None,
+    ) -> str:
+        if not message:
+            return "Error: message is required for add"
+        if not self._channel or not self._chat_id:
+            return "Error: no session context (channel/chat_id)"
+        if tz and not cron_expr:
+            return "Error: tz can only be used with cron_expr"
+        if tz:
+            from zoneinfo import ZoneInfo
+            try:
+                ZoneInfo(tz)
+            except (KeyError, Exception):
+                return f"Error: unknown timezone '{tz}'"
+        
+        # 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, tz=tz)
+        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=message[:30],
+            schedule=schedule,
+            message=message,
+            deliver=True,
+            channel=self._channel,
+            to=self._chat_id,
+            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"

nanobot/agent/tools/filesystem.py

@@ -6,9 +6,20 @@ from typing import Any
 from nanobot.agent.tools.base import Tool
 
 
+def _resolve_path(path: str, allowed_dir: Path | None = None) -> Path:
+    """Resolve path and optionally enforce directory restriction."""
+    resolved = Path(path).expanduser().resolve()
+    if allowed_dir and not str(resolved).startswith(str(allowed_dir.resolve())):
+        raise PermissionError(f"Path {path} is outside allowed directory {allowed_dir}")
+    return resolved
+
+
 class ReadFileTool(Tool):
     """Tool to read file contents."""
     
+    def __init__(self, allowed_dir: Path | None = None):
+        self._allowed_dir = allowed_dir
+
     @property
     def name(self) -> str:
         return "read_file"
@@ -32,7 +43,7 @@ class ReadFileTool(Tool):
     
     async def execute(self, path: str, **kwargs: Any) -> str:
         try:
-            file_path = Path(path).expanduser()
+            file_path = _resolve_path(path, self._allowed_dir)
             if not file_path.exists():
                 return f"Error: File not found: {path}"
             if not file_path.is_file():
@@ -40,8 +51,8 @@ class ReadFileTool(Tool):
             
             content = file_path.read_text(encoding="utf-8")
             return content
-        except PermissionError:
+        except PermissionError as e:
-            return f"Error: Permission denied: {path}"
+            return f"Error: {e}"
         except Exception as e:
             return f"Error reading file: {str(e)}"
 
@@ -49,6 +60,9 @@ class ReadFileTool(Tool):
 class WriteFileTool(Tool):
     """Tool to write content to a file."""
     
+    def __init__(self, allowed_dir: Path | None = None):
+        self._allowed_dir = allowed_dir
+
     @property
     def name(self) -> str:
         return "write_file"
@@ -76,12 +90,12 @@ class WriteFileTool(Tool):
     
     async def execute(self, path: str, content: str, **kwargs: Any) -> str:
         try:
-            file_path = Path(path).expanduser()
+            file_path = _resolve_path(path, self._allowed_dir)
             file_path.parent.mkdir(parents=True, exist_ok=True)
             file_path.write_text(content, encoding="utf-8")
             return f"Successfully wrote {len(content)} bytes to {path}"
-        except PermissionError:
+        except PermissionError as e:
-            return f"Error: Permission denied: {path}"
+            return f"Error: {e}"
         except Exception as e:
             return f"Error writing file: {str(e)}"
 
@@ -89,6 +103,9 @@ class WriteFileTool(Tool):
 class EditFileTool(Tool):
     """Tool to edit a file by replacing text."""
     
+    def __init__(self, allowed_dir: Path | None = None):
+        self._allowed_dir = allowed_dir
+
     @property
     def name(self) -> str:
         return "edit_file"
@@ -120,7 +137,7 @@ class EditFileTool(Tool):
     
     async def execute(self, path: str, old_text: str, new_text: str, **kwargs: Any) -> str:
         try:
-            file_path = Path(path).expanduser()
+            file_path = _resolve_path(path, self._allowed_dir)
             if not file_path.exists():
                 return f"Error: File not found: {path}"
             
@@ -138,8 +155,8 @@ class EditFileTool(Tool):
             file_path.write_text(new_content, encoding="utf-8")
             
             return f"Successfully edited {path}"
-        except PermissionError:
+        except PermissionError as e:
-            return f"Error: Permission denied: {path}"
+            return f"Error: {e}"
         except Exception as e:
             return f"Error editing file: {str(e)}"
 
@@ -147,6 +164,9 @@ class EditFileTool(Tool):
 class ListDirTool(Tool):
     """Tool to list directory contents."""
     
+    def __init__(self, allowed_dir: Path | None = None):
+        self._allowed_dir = allowed_dir
+
     @property
     def name(self) -> str:
         return "list_dir"
@@ -170,7 +190,7 @@ class ListDirTool(Tool):
     
     async def execute(self, path: str, **kwargs: Any) -> str:
         try:
-            dir_path = Path(path).expanduser()
+            dir_path = _resolve_path(path, self._allowed_dir)
             if not dir_path.exists():
                 return f"Error: Directory not found: {path}"
             if not dir_path.is_dir():
@@ -185,7 +205,7 @@ class ListDirTool(Tool):
                 return f"Directory {path} is empty"
             
             return "\n".join(items)
-        except PermissionError:
+        except PermissionError as e:
-            return f"Error: Permission denied: {path}"
+            return f"Error: {e}"
         except Exception as e:
             return f"Error listing directory: {str(e)}"

nanobot/agent/tools/mcp.py

@@ -0,0 +1,80 @@
+"""MCP client: connects to MCP servers and wraps their tools as native nanobot tools."""
+
+from contextlib import AsyncExitStack
+from typing import Any
+
+from loguru import logger
+
+from nanobot.agent.tools.base import Tool
+from nanobot.agent.tools.registry import ToolRegistry
+
+
+class MCPToolWrapper(Tool):
+    """Wraps a single MCP server tool as a nanobot Tool."""
+
+    def __init__(self, session, server_name: str, tool_def):
+        self._session = session
+        self._original_name = tool_def.name
+        self._name = f"mcp_{server_name}_{tool_def.name}"
+        self._description = tool_def.description or tool_def.name
+        self._parameters = tool_def.inputSchema or {"type": "object", "properties": {}}
+
+    @property
+    def name(self) -> str:
+        return self._name
+
+    @property
+    def description(self) -> str:
+        return self._description
+
+    @property
+    def parameters(self) -> dict[str, Any]:
+        return self._parameters
+
+    async def execute(self, **kwargs: Any) -> str:
+        from mcp import types
+        result = await self._session.call_tool(self._original_name, arguments=kwargs)
+        parts = []
+        for block in result.content:
+            if isinstance(block, types.TextContent):
+                parts.append(block.text)
+            else:
+                parts.append(str(block))
+        return "\n".join(parts) or "(no output)"
+
+
+async def connect_mcp_servers(
+    mcp_servers: dict, registry: ToolRegistry, stack: AsyncExitStack
+) -> None:
+    """Connect to configured MCP servers and register their tools."""
+    from mcp import ClientSession, StdioServerParameters
+    from mcp.client.stdio import stdio_client
+
+    for name, cfg in mcp_servers.items():
+        try:
+            if cfg.command:
+                params = StdioServerParameters(
+                    command=cfg.command, args=cfg.args, env=cfg.env or None
+                )
+                read, write = await stack.enter_async_context(stdio_client(params))
+            elif cfg.url:
+                from mcp.client.streamable_http import streamable_http_client
+                read, write, _ = await stack.enter_async_context(
+                    streamable_http_client(cfg.url)
+                )
+            else:
+                logger.warning(f"MCP server '{name}': no command or url configured, skipping")
+                continue
+
+            session = await stack.enter_async_context(ClientSession(read, write))
+            await session.initialize()
+
+            tools = await session.list_tools()
+            for tool_def in tools.tools:
+                wrapper = MCPToolWrapper(session, name, tool_def)
+                registry.register(wrapper)
+                logger.debug(f"MCP: registered tool '{wrapper.name}' from server '{name}'")
+
+            logger.info(f"MCP server '{name}': connected, {len(tools.tools)} tools registered")
+        except Exception as e:
+            logger.error(f"MCP server '{name}': failed to connect: {e}")

nanobot/agent/tools/message.py

@@ -52,6 +52,11 @@ class MessageTool(Tool):
                 "chat_id": {
                     "type": "string",
                     "description": "Optional: target chat/user ID"
+                },
+                "media": {
+                    "type": "array",
+                    "items": {"type": "string"},
+                    "description": "Optional: list of file paths to attach (images, audio, documents)"
                 }
             },
             "required": ["content"]
@@ -62,6 +67,7 @@ class MessageTool(Tool):
         content: str, 
         channel: str | None = None, 
         chat_id: str | None = None,
+        media: list[str] | None = None,
         **kwargs: Any
     ) -> str:
         channel = channel or self._default_channel
@@ -76,11 +82,13 @@ class MessageTool(Tool):
         msg = OutboundMessage(
             channel=channel,
             chat_id=chat_id,
-            content=content
+            content=content,
+            media=media or []
         )
         
         try:
             await self._send_callback(msg)
-            return f"Message sent to {channel}:{chat_id}"
+            media_info = f" with {len(media)} attachments" if media else ""
+            return f"Message sent to {channel}:{chat_id}{media_info}"
         except Exception as e:
             return f"Error sending message: {str(e)}"

nanobot/agent/tools/shell.py

@@ -128,14 +128,17 @@ class ExecTool(Tool):
             cwd_path = Path(cwd).resolve()
 
             win_paths = re.findall(r"[A-Za-z]:\\[^\\\"']+", cmd)
-            posix_paths = re.findall(r"/[^\s\"']+", cmd)
+            # Only match absolute paths — avoid false positives on relative
+            # paths like ".venv/bin/python" where "/bin/python" would be
+            # incorrectly extracted by the old pattern.
+            posix_paths = re.findall(r"(?:^|[\s|>])(/[^\s\"'>]+)", cmd)
 
             for raw in win_paths + posix_paths:
                 try:
-                    p = Path(raw).resolve()
+                    p = Path(raw.strip()).resolve()
                 except Exception:
                     continue
-                if cwd_path not in p.parents and p != cwd_path:
+                if p.is_absolute() and cwd_path not in p.parents and p != cwd_path:
                     return "Error: Command blocked by safety guard (path outside working dir)"
 
         return None

nanobot/channels/base.py

@@ -3,6 +3,8 @@
 from abc import ABC, abstractmethod
 from typing import Any
 
+from loguru import logger
+
 from nanobot.bus.events import InboundMessage, OutboundMessage
 from nanobot.bus.queue import MessageBus
 
@@ -102,6 +104,10 @@ class BaseChannel(ABC):
             metadata: Optional channel-specific metadata.
         """
         if not self.is_allowed(sender_id):
+            logger.warning(
+                f"Access denied for sender {sender_id} on channel {self.name}. "
+                f"Add them to allowFrom list in config to grant access."
+            )
             return
         
         msg = InboundMessage(

nanobot/channels/dingtalk.py

@@ -0,0 +1,245 @@
+"""DingTalk/DingDing channel implementation using Stream Mode."""
+
+import asyncio
+import json
+import time
+from typing import Any
+
+from loguru import logger
+import httpx
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.base import BaseChannel
+from nanobot.config.schema import DingTalkConfig
+
+try:
+    from dingtalk_stream import (
+        DingTalkStreamClient,
+        Credential,
+        CallbackHandler,
+        CallbackMessage,
+        AckMessage,
+    )
+    from dingtalk_stream.chatbot import ChatbotMessage
+
+    DINGTALK_AVAILABLE = True
+except ImportError:
+    DINGTALK_AVAILABLE = False
+    # Fallback so class definitions don't crash at module level
+    CallbackHandler = object  # type: ignore[assignment,misc]
+    CallbackMessage = None  # type: ignore[assignment,misc]
+    AckMessage = None  # type: ignore[assignment,misc]
+    ChatbotMessage = None  # type: ignore[assignment,misc]
+
+
+class NanobotDingTalkHandler(CallbackHandler):
+    """
+    Standard DingTalk Stream SDK Callback Handler.
+    Parses incoming messages and forwards them to the Nanobot channel.
+    """
+
+    def __init__(self, channel: "DingTalkChannel"):
+        super().__init__()
+        self.channel = channel
+
+    async def process(self, message: CallbackMessage):
+        """Process incoming stream message."""
+        try:
+            # Parse using SDK's ChatbotMessage for robust handling
+            chatbot_msg = ChatbotMessage.from_dict(message.data)
+
+            # Extract text content; fall back to raw dict if SDK object is empty
+            content = ""
+            if chatbot_msg.text:
+                content = chatbot_msg.text.content.strip()
+            if not content:
+                content = message.data.get("text", {}).get("content", "").strip()
+
+            if not content:
+                logger.warning(
+                    f"Received empty or unsupported message type: {chatbot_msg.message_type}"
+                )
+                return AckMessage.STATUS_OK, "OK"
+
+            sender_id = chatbot_msg.sender_staff_id or chatbot_msg.sender_id
+            sender_name = chatbot_msg.sender_nick or "Unknown"
+
+            logger.info(f"Received DingTalk message from {sender_name} ({sender_id}): {content}")
+
+            # Forward to Nanobot via _on_message (non-blocking).
+            # Store reference to prevent GC before task completes.
+            task = asyncio.create_task(
+                self.channel._on_message(content, sender_id, sender_name)
+            )
+            self.channel._background_tasks.add(task)
+            task.add_done_callback(self.channel._background_tasks.discard)
+
+            return AckMessage.STATUS_OK, "OK"
+
+        except Exception as e:
+            logger.error(f"Error processing DingTalk message: {e}")
+            # Return OK to avoid retry loop from DingTalk server
+            return AckMessage.STATUS_OK, "Error"
+
+
+class DingTalkChannel(BaseChannel):
+    """
+    DingTalk channel using Stream Mode.
+
+    Uses WebSocket to receive events via `dingtalk-stream` SDK.
+    Uses direct HTTP API to send messages (SDK is mainly for receiving).
+
+    Note: Currently only supports private (1:1) chat. Group messages are
+    received but replies are sent back as private messages to the sender.
+    """
+
+    name = "dingtalk"
+
+    def __init__(self, config: DingTalkConfig, bus: MessageBus):
+        super().__init__(config, bus)
+        self.config: DingTalkConfig = config
+        self._client: Any = None
+        self._http: httpx.AsyncClient | None = None
+
+        # Access Token management for sending messages
+        self._access_token: str | None = None
+        self._token_expiry: float = 0
+
+        # Hold references to background tasks to prevent GC
+        self._background_tasks: set[asyncio.Task] = set()
+
+    async def start(self) -> None:
+        """Start the DingTalk bot with Stream Mode."""
+        try:
+            if not DINGTALK_AVAILABLE:
+                logger.error(
+                    "DingTalk Stream SDK not installed. Run: pip install dingtalk-stream"
+                )
+                return
+
+            if not self.config.client_id or not self.config.client_secret:
+                logger.error("DingTalk client_id and client_secret not configured")
+                return
+
+            self._running = True
+            self._http = httpx.AsyncClient()
+
+            logger.info(
+                f"Initializing DingTalk Stream Client with Client ID: {self.config.client_id}..."
+            )
+            credential = Credential(self.config.client_id, self.config.client_secret)
+            self._client = DingTalkStreamClient(credential)
+
+            # Register standard handler
+            handler = NanobotDingTalkHandler(self)
+            self._client.register_callback_handler(ChatbotMessage.TOPIC, handler)
+
+            logger.info("DingTalk bot started with Stream Mode")
+
+            # Reconnect loop: restart stream if SDK exits or crashes
+            while self._running:
+                try:
+                    await self._client.start()
+                except Exception as e:
+                    logger.warning(f"DingTalk stream error: {e}")
+                if self._running:
+                    logger.info("Reconnecting DingTalk stream in 5 seconds...")
+                    await asyncio.sleep(5)
+
+        except Exception as e:
+            logger.exception(f"Failed to start DingTalk channel: {e}")
+
+    async def stop(self) -> None:
+        """Stop the DingTalk bot."""
+        self._running = False
+        # Close the shared HTTP client
+        if self._http:
+            await self._http.aclose()
+            self._http = None
+        # Cancel outstanding background tasks
+        for task in self._background_tasks:
+            task.cancel()
+        self._background_tasks.clear()
+
+    async def _get_access_token(self) -> str | None:
+        """Get or refresh Access Token."""
+        if self._access_token and time.time() < self._token_expiry:
+            return self._access_token
+
+        url = "https://api.dingtalk.com/v1.0/oauth2/accessToken"
+        data = {
+            "appKey": self.config.client_id,
+            "appSecret": self.config.client_secret,
+        }
+
+        if not self._http:
+            logger.warning("DingTalk HTTP client not initialized, cannot refresh token")
+            return None
+
+        try:
+            resp = await self._http.post(url, json=data)
+            resp.raise_for_status()
+            res_data = resp.json()
+            self._access_token = res_data.get("accessToken")
+            # Expire 60s early to be safe
+            self._token_expiry = time.time() + int(res_data.get("expireIn", 7200)) - 60
+            return self._access_token
+        except Exception as e:
+            logger.error(f"Failed to get DingTalk access token: {e}")
+            return None
+
+    async def send(self, msg: OutboundMessage) -> None:
+        """Send a message through DingTalk."""
+        token = await self._get_access_token()
+        if not token:
+            return
+
+        # oToMessages/batchSend: sends to individual users (private chat)
+        # https://open.dingtalk.com/document/orgapp/robot-batch-send-messages
+        url = "https://api.dingtalk.com/v1.0/robot/oToMessages/batchSend"
+
+        headers = {"x-acs-dingtalk-access-token": token}
+
+        data = {
+            "robotCode": self.config.client_id,
+            "userIds": [msg.chat_id],  # chat_id is the user's staffId
+            "msgKey": "sampleMarkdown",
+            "msgParam": json.dumps({
+                "text": msg.content,
+                "title": "Nanobot Reply",
+            }),
+        }
+
+        if not self._http:
+            logger.warning("DingTalk HTTP client not initialized, cannot send")
+            return
+
+        try:
+            resp = await self._http.post(url, json=data, headers=headers)
+            if resp.status_code != 200:
+                logger.error(f"DingTalk send failed: {resp.text}")
+            else:
+                logger.debug(f"DingTalk message sent to {msg.chat_id}")
+        except Exception as e:
+            logger.error(f"Error sending DingTalk message: {e}")
+
+    async def _on_message(self, content: str, sender_id: str, sender_name: str) -> None:
+        """Handle incoming message (called by NanobotDingTalkHandler).
+
+        Delegates to BaseChannel._handle_message() which enforces allow_from
+        permission checks before publishing to the bus.
+        """
+        try:
+            logger.info(f"DingTalk inbound: {content} from {sender_name}")
+            await self._handle_message(
+                sender_id=sender_id,
+                chat_id=sender_id,  # For private chat, chat_id == sender_id
+                content=str(content),
+                metadata={
+                    "sender_name": sender_name,
+                    "platform": "dingtalk",
+                },
+            )
+        except Exception as e:
+            logger.error(f"Error publishing DingTalk message: {e}")

nanobot/channels/discord.py

@@ -0,0 +1,261 @@
+"""Discord channel implementation using Discord Gateway websocket."""
+
+import asyncio
+import json
+from pathlib import Path
+from typing import Any
+
+import httpx
+import websockets
+from loguru import logger
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.base import BaseChannel
+from nanobot.config.schema import DiscordConfig
+
+
+DISCORD_API_BASE = "https://discord.com/api/v10"
+MAX_ATTACHMENT_BYTES = 20 * 1024 * 1024  # 20MB
+
+
+class DiscordChannel(BaseChannel):
+    """Discord channel using Gateway websocket."""
+
+    name = "discord"
+
+    def __init__(self, config: DiscordConfig, bus: MessageBus):
+        super().__init__(config, bus)
+        self.config: DiscordConfig = config
+        self._ws: websockets.WebSocketClientProtocol | None = None
+        self._seq: int | None = None
+        self._heartbeat_task: asyncio.Task | None = None
+        self._typing_tasks: dict[str, asyncio.Task] = {}
+        self._http: httpx.AsyncClient | None = None
+
+    async def start(self) -> None:
+        """Start the Discord gateway connection."""
+        if not self.config.token:
+            logger.error("Discord bot token not configured")
+            return
+
+        self._running = True
+        self._http = httpx.AsyncClient(timeout=30.0)
+
+        while self._running:
+            try:
+                logger.info("Connecting to Discord gateway...")
+                async with websockets.connect(self.config.gateway_url) as ws:
+                    self._ws = ws
+                    await self._gateway_loop()
+            except asyncio.CancelledError:
+                break
+            except Exception as e:
+                logger.warning(f"Discord gateway error: {e}")
+                if self._running:
+                    logger.info("Reconnecting to Discord gateway in 5 seconds...")
+                    await asyncio.sleep(5)
+
+    async def stop(self) -> None:
+        """Stop the Discord channel."""
+        self._running = False
+        if self._heartbeat_task:
+            self._heartbeat_task.cancel()
+            self._heartbeat_task = None
+        for task in self._typing_tasks.values():
+            task.cancel()
+        self._typing_tasks.clear()
+        if self._ws:
+            await self._ws.close()
+            self._ws = None
+        if self._http:
+            await self._http.aclose()
+            self._http = None
+
+    async def send(self, msg: OutboundMessage) -> None:
+        """Send a message through Discord REST API."""
+        if not self._http:
+            logger.warning("Discord HTTP client not initialized")
+            return
+
+        url = f"{DISCORD_API_BASE}/channels/{msg.chat_id}/messages"
+        payload: dict[str, Any] = {"content": msg.content}
+
+        if msg.reply_to:
+            payload["message_reference"] = {"message_id": msg.reply_to}
+            payload["allowed_mentions"] = {"replied_user": False}
+
+        headers = {"Authorization": f"Bot {self.config.token}"}
+
+        try:
+            for attempt in range(3):
+                try:
+                    response = await self._http.post(url, headers=headers, json=payload)
+                    if response.status_code == 429:
+                        data = response.json()
+                        retry_after = float(data.get("retry_after", 1.0))
+                        logger.warning(f"Discord rate limited, retrying in {retry_after}s")
+                        await asyncio.sleep(retry_after)
+                        continue
+                    response.raise_for_status()
+                    return
+                except Exception as e:
+                    if attempt == 2:
+                        logger.error(f"Error sending Discord message: {e}")
+                    else:
+                        await asyncio.sleep(1)
+        finally:
+            await self._stop_typing(msg.chat_id)
+
+    async def _gateway_loop(self) -> None:
+        """Main gateway loop: identify, heartbeat, dispatch events."""
+        if not self._ws:
+            return
+
+        async for raw in self._ws:
+            try:
+                data = json.loads(raw)
+            except json.JSONDecodeError:
+                logger.warning(f"Invalid JSON from Discord gateway: {raw[:100]}")
+                continue
+
+            op = data.get("op")
+            event_type = data.get("t")
+            seq = data.get("s")
+            payload = data.get("d")
+
+            if seq is not None:
+                self._seq = seq
+
+            if op == 10:
+                # HELLO: start heartbeat and identify
+                interval_ms = payload.get("heartbeat_interval", 45000)
+                await self._start_heartbeat(interval_ms / 1000)
+                await self._identify()
+            elif op == 0 and event_type == "READY":
+                logger.info("Discord gateway READY")
+            elif op == 0 and event_type == "MESSAGE_CREATE":
+                await self._handle_message_create(payload)
+            elif op == 7:
+                # RECONNECT: exit loop to reconnect
+                logger.info("Discord gateway requested reconnect")
+                break
+            elif op == 9:
+                # INVALID_SESSION: reconnect
+                logger.warning("Discord gateway invalid session")
+                break
+
+    async def _identify(self) -> None:
+        """Send IDENTIFY payload."""
+        if not self._ws:
+            return
+
+        identify = {
+            "op": 2,
+            "d": {
+                "token": self.config.token,
+                "intents": self.config.intents,
+                "properties": {
+                    "os": "nanobot",
+                    "browser": "nanobot",
+                    "device": "nanobot",
+                },
+            },
+        }
+        await self._ws.send(json.dumps(identify))
+
+    async def _start_heartbeat(self, interval_s: float) -> None:
+        """Start or restart the heartbeat loop."""
+        if self._heartbeat_task:
+            self._heartbeat_task.cancel()
+
+        async def heartbeat_loop() -> None:
+            while self._running and self._ws:
+                payload = {"op": 1, "d": self._seq}
+                try:
+                    await self._ws.send(json.dumps(payload))
+                except Exception as e:
+                    logger.warning(f"Discord heartbeat failed: {e}")
+                    break
+                await asyncio.sleep(interval_s)
+
+        self._heartbeat_task = asyncio.create_task(heartbeat_loop())
+
+    async def _handle_message_create(self, payload: dict[str, Any]) -> None:
+        """Handle incoming Discord messages."""
+        author = payload.get("author") or {}
+        if author.get("bot"):
+            return
+
+        sender_id = str(author.get("id", ""))
+        channel_id = str(payload.get("channel_id", ""))
+        content = payload.get("content") or ""
+
+        if not sender_id or not channel_id:
+            return
+
+        if not self.is_allowed(sender_id):
+            return
+
+        content_parts = [content] if content else []
+        media_paths: list[str] = []
+        media_dir = Path.home() / ".nanobot" / "media"
+
+        for attachment in payload.get("attachments") or []:
+            url = attachment.get("url")
+            filename = attachment.get("filename") or "attachment"
+            size = attachment.get("size") or 0
+            if not url or not self._http:
+                continue
+            if size and size > MAX_ATTACHMENT_BYTES:
+                content_parts.append(f"[attachment: {filename} - too large]")
+                continue
+            try:
+                media_dir.mkdir(parents=True, exist_ok=True)
+                file_path = media_dir / f"{attachment.get('id', 'file')}_{filename.replace('/', '_')}"
+                resp = await self._http.get(url)
+                resp.raise_for_status()
+                file_path.write_bytes(resp.content)
+                media_paths.append(str(file_path))
+                content_parts.append(f"[attachment: {file_path}]")
+            except Exception as e:
+                logger.warning(f"Failed to download Discord attachment: {e}")
+                content_parts.append(f"[attachment: {filename} - download failed]")
+
+        reply_to = (payload.get("referenced_message") or {}).get("id")
+
+        await self._start_typing(channel_id)
+
+        await self._handle_message(
+            sender_id=sender_id,
+            chat_id=channel_id,
+            content="\n".join(p for p in content_parts if p) or "[empty message]",
+            media=media_paths,
+            metadata={
+                "message_id": str(payload.get("id", "")),
+                "guild_id": payload.get("guild_id"),
+                "reply_to": reply_to,
+            },
+        )
+
+    async def _start_typing(self, channel_id: str) -> None:
+        """Start periodic typing indicator for a channel."""
+        await self._stop_typing(channel_id)
+
+        async def typing_loop() -> None:
+            url = f"{DISCORD_API_BASE}/channels/{channel_id}/typing"
+            headers = {"Authorization": f"Bot {self.config.token}"}
+            while self._running:
+                try:
+                    await self._http.post(url, headers=headers)
+                except Exception:
+                    pass
+                await asyncio.sleep(8)
+
+        self._typing_tasks[channel_id] = asyncio.create_task(typing_loop())
+
+    async def _stop_typing(self, channel_id: str) -> None:
+        """Stop typing indicator for a channel."""
+        task = self._typing_tasks.pop(channel_id, None)
+        if task:
+            task.cancel()

nanobot/channels/email.py

@@ -0,0 +1,403 @@
+"""Email channel implementation using IMAP polling + SMTP replies."""
+
+import asyncio
+import html
+import imaplib
+import re
+import smtplib
+import ssl
+from datetime import date
+from email import policy
+from email.header import decode_header, make_header
+from email.message import EmailMessage
+from email.parser import BytesParser
+from email.utils import parseaddr
+from typing import Any
+
+from loguru import logger
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.base import BaseChannel
+from nanobot.config.schema import EmailConfig
+
+
+class EmailChannel(BaseChannel):
+    """
+    Email channel.
+
+    Inbound:
+    - Poll IMAP mailbox for unread messages.
+    - Convert each message into an inbound event.
+
+    Outbound:
+    - Send responses via SMTP back to the sender address.
+    """
+
+    name = "email"
+    _IMAP_MONTHS = (
+        "Jan",
+        "Feb",
+        "Mar",
+        "Apr",
+        "May",
+        "Jun",
+        "Jul",
+        "Aug",
+        "Sep",
+        "Oct",
+        "Nov",
+        "Dec",
+    )
+
+    def __init__(self, config: EmailConfig, bus: MessageBus):
+        super().__init__(config, bus)
+        self.config: EmailConfig = config
+        self._last_subject_by_chat: dict[str, str] = {}
+        self._last_message_id_by_chat: dict[str, str] = {}
+        self._processed_uids: set[str] = set()  # Capped to prevent unbounded growth
+        self._MAX_PROCESSED_UIDS = 100000
+
+    async def start(self) -> None:
+        """Start polling IMAP for inbound emails."""
+        if not self.config.consent_granted:
+            logger.warning(
+                "Email channel disabled: consent_granted is false. "
+                "Set channels.email.consentGranted=true after explicit user permission."
+            )
+            return
+
+        if not self._validate_config():
+            return
+
+        self._running = True
+        logger.info("Starting Email channel (IMAP polling mode)...")
+
+        poll_seconds = max(5, int(self.config.poll_interval_seconds))
+        while self._running:
+            try:
+                inbound_items = await asyncio.to_thread(self._fetch_new_messages)
+                for item in inbound_items:
+                    sender = item["sender"]
+                    subject = item.get("subject", "")
+                    message_id = item.get("message_id", "")
+
+                    if subject:
+                        self._last_subject_by_chat[sender] = subject
+                    if message_id:
+                        self._last_message_id_by_chat[sender] = message_id
+
+                    await self._handle_message(
+                        sender_id=sender,
+                        chat_id=sender,
+                        content=item["content"],
+                        metadata=item.get("metadata", {}),
+                    )
+            except Exception as e:
+                logger.error(f"Email polling error: {e}")
+
+            await asyncio.sleep(poll_seconds)
+
+    async def stop(self) -> None:
+        """Stop polling loop."""
+        self._running = False
+
+    async def send(self, msg: OutboundMessage) -> None:
+        """Send email via SMTP."""
+        if not self.config.consent_granted:
+            logger.warning("Skip email send: consent_granted is false")
+            return
+
+        force_send = bool((msg.metadata or {}).get("force_send"))
+        if not self.config.auto_reply_enabled and not force_send:
+            logger.info("Skip automatic email reply: auto_reply_enabled is false")
+            return
+
+        if not self.config.smtp_host:
+            logger.warning("Email channel SMTP host not configured")
+            return
+
+        to_addr = msg.chat_id.strip()
+        if not to_addr:
+            logger.warning("Email channel missing recipient address")
+            return
+
+        base_subject = self._last_subject_by_chat.get(to_addr, "nanobot reply")
+        subject = self._reply_subject(base_subject)
+        if msg.metadata and isinstance(msg.metadata.get("subject"), str):
+            override = msg.metadata["subject"].strip()
+            if override:
+                subject = override
+
+        email_msg = EmailMessage()
+        email_msg["From"] = self.config.from_address or self.config.smtp_username or self.config.imap_username
+        email_msg["To"] = to_addr
+        email_msg["Subject"] = subject
+        email_msg.set_content(msg.content or "")
+
+        in_reply_to = self._last_message_id_by_chat.get(to_addr)
+        if in_reply_to:
+            email_msg["In-Reply-To"] = in_reply_to
+            email_msg["References"] = in_reply_to
+
+        try:
+            await asyncio.to_thread(self._smtp_send, email_msg)
+        except Exception as e:
+            logger.error(f"Error sending email to {to_addr}: {e}")
+            raise
+
+    def _validate_config(self) -> bool:
+        missing = []
+        if not self.config.imap_host:
+            missing.append("imap_host")
+        if not self.config.imap_username:
+            missing.append("imap_username")
+        if not self.config.imap_password:
+            missing.append("imap_password")
+        if not self.config.smtp_host:
+            missing.append("smtp_host")
+        if not self.config.smtp_username:
+            missing.append("smtp_username")
+        if not self.config.smtp_password:
+            missing.append("smtp_password")
+
+        if missing:
+            logger.error(f"Email channel not configured, missing: {', '.join(missing)}")
+            return False
+        return True
+
+    def _smtp_send(self, msg: EmailMessage) -> None:
+        timeout = 30
+        if self.config.smtp_use_ssl:
+            with smtplib.SMTP_SSL(
+                self.config.smtp_host,
+                self.config.smtp_port,
+                timeout=timeout,
+            ) as smtp:
+                smtp.login(self.config.smtp_username, self.config.smtp_password)
+                smtp.send_message(msg)
+            return
+
+        with smtplib.SMTP(self.config.smtp_host, self.config.smtp_port, timeout=timeout) as smtp:
+            if self.config.smtp_use_tls:
+                smtp.starttls(context=ssl.create_default_context())
+            smtp.login(self.config.smtp_username, self.config.smtp_password)
+            smtp.send_message(msg)
+
+    def _fetch_new_messages(self) -> list[dict[str, Any]]:
+        """Poll IMAP and return parsed unread messages."""
+        return self._fetch_messages(
+            search_criteria=("UNSEEN",),
+            mark_seen=self.config.mark_seen,
+            dedupe=True,
+            limit=0,
+        )
+
+    def fetch_messages_between_dates(
+        self,
+        start_date: date,
+        end_date: date,
+        limit: int = 20,
+    ) -> list[dict[str, Any]]:
+        """
+        Fetch messages in [start_date, end_date) by IMAP date search.
+
+        This is used for historical summarization tasks (e.g. "yesterday").
+        """
+        if end_date <= start_date:
+            return []
+
+        return self._fetch_messages(
+            search_criteria=(
+                "SINCE",
+                self._format_imap_date(start_date),
+                "BEFORE",
+                self._format_imap_date(end_date),
+            ),
+            mark_seen=False,
+            dedupe=False,
+            limit=max(1, int(limit)),
+        )
+
+    def _fetch_messages(
+        self,
+        search_criteria: tuple[str, ...],
+        mark_seen: bool,
+        dedupe: bool,
+        limit: int,
+    ) -> list[dict[str, Any]]:
+        """Fetch messages by arbitrary IMAP search criteria."""
+        messages: list[dict[str, Any]] = []
+        mailbox = self.config.imap_mailbox or "INBOX"
+
+        if self.config.imap_use_ssl:
+            client = imaplib.IMAP4_SSL(self.config.imap_host, self.config.imap_port)
+        else:
+            client = imaplib.IMAP4(self.config.imap_host, self.config.imap_port)
+
+        try:
+            client.login(self.config.imap_username, self.config.imap_password)
+            status, _ = client.select(mailbox)
+            if status != "OK":
+                return messages
+
+            status, data = client.search(None, *search_criteria)
+            if status != "OK" or not data:
+                return messages
+
+            ids = data[0].split()
+            if limit > 0 and len(ids) > limit:
+                ids = ids[-limit:]
+            for imap_id in ids:
+                status, fetched = client.fetch(imap_id, "(BODY.PEEK[] UID)")
+                if status != "OK" or not fetched:
+                    continue
+
+                raw_bytes = self._extract_message_bytes(fetched)
+                if raw_bytes is None:
+                    continue
+
+                uid = self._extract_uid(fetched)
+                if dedupe and uid and uid in self._processed_uids:
+                    continue
+
+                parsed = BytesParser(policy=policy.default).parsebytes(raw_bytes)
+                sender = parseaddr(parsed.get("From", ""))[1].strip().lower()
+                if not sender:
+                    continue
+
+                subject = self._decode_header_value(parsed.get("Subject", ""))
+                date_value = parsed.get("Date", "")
+                message_id = parsed.get("Message-ID", "").strip()
+                body = self._extract_text_body(parsed)
+
+                if not body:
+                    body = "(empty email body)"
+
+                body = body[: self.config.max_body_chars]
+                content = (
+                    f"Email received.\n"
+                    f"From: {sender}\n"
+                    f"Subject: {subject}\n"
+                    f"Date: {date_value}\n\n"
+                    f"{body}"
+                )
+
+                metadata = {
+                    "message_id": message_id,
+                    "subject": subject,
+                    "date": date_value,
+                    "sender_email": sender,
+                    "uid": uid,
+                }
+                messages.append(
+                    {
+                        "sender": sender,
+                        "subject": subject,
+                        "message_id": message_id,
+                        "content": content,
+                        "metadata": metadata,
+                    }
+                )
+
+                if dedupe and uid:
+                    self._processed_uids.add(uid)
+                    # mark_seen is the primary dedup; this set is a safety net
+                    if len(self._processed_uids) > self._MAX_PROCESSED_UIDS:
+                        self._processed_uids.clear()
+
+                if mark_seen:
+                    client.store(imap_id, "+FLAGS", "\\Seen")
+        finally:
+            try:
+                client.logout()
+            except Exception:
+                pass
+
+        return messages
+
+    @classmethod
+    def _format_imap_date(cls, value: date) -> str:
+        """Format date for IMAP search (always English month abbreviations)."""
+        month = cls._IMAP_MONTHS[value.month - 1]
+        return f"{value.day:02d}-{month}-{value.year}"
+
+    @staticmethod
+    def _extract_message_bytes(fetched: list[Any]) -> bytes | None:
+        for item in fetched:
+            if isinstance(item, tuple) and len(item) >= 2 and isinstance(item[1], (bytes, bytearray)):
+                return bytes(item[1])
+        return None
+
+    @staticmethod
+    def _extract_uid(fetched: list[Any]) -> str:
+        for item in fetched:
+            if isinstance(item, tuple) and item and isinstance(item[0], (bytes, bytearray)):
+                head = bytes(item[0]).decode("utf-8", errors="ignore")
+                m = re.search(r"UID\s+(\d+)", head)
+                if m:
+                    return m.group(1)
+        return ""
+
+    @staticmethod
+    def _decode_header_value(value: str) -> str:
+        if not value:
+            return ""
+        try:
+            return str(make_header(decode_header(value)))
+        except Exception:
+            return value
+
+    @classmethod
+    def _extract_text_body(cls, msg: Any) -> str:
+        """Best-effort extraction of readable body text."""
+        if msg.is_multipart():
+            plain_parts: list[str] = []
+            html_parts: list[str] = []
+            for part in msg.walk():
+                if part.get_content_disposition() == "attachment":
+                    continue
+                content_type = part.get_content_type()
+                try:
+                    payload = part.get_content()
+                except Exception:
+                    payload_bytes = part.get_payload(decode=True) or b""
+                    charset = part.get_content_charset() or "utf-8"
+                    payload = payload_bytes.decode(charset, errors="replace")
+                if not isinstance(payload, str):
+                    continue
+                if content_type == "text/plain":
+                    plain_parts.append(payload)
+                elif content_type == "text/html":
+                    html_parts.append(payload)
+            if plain_parts:
+                return "\n\n".join(plain_parts).strip()
+            if html_parts:
+                return cls._html_to_text("\n\n".join(html_parts)).strip()
+            return ""
+
+        try:
+            payload = msg.get_content()
+        except Exception:
+            payload_bytes = msg.get_payload(decode=True) or b""
+            charset = msg.get_content_charset() or "utf-8"
+            payload = payload_bytes.decode(charset, errors="replace")
+        if not isinstance(payload, str):
+            return ""
+        if msg.get_content_type() == "text/html":
+            return cls._html_to_text(payload).strip()
+        return payload.strip()
+
+    @staticmethod
+    def _html_to_text(raw_html: str) -> str:
+        text = re.sub(r"<\s*br\s*/?>", "\n", raw_html, flags=re.IGNORECASE)
+        text = re.sub(r"<\s*/\s*p\s*>", "\n", text, flags=re.IGNORECASE)
+        text = re.sub(r"<[^>]+>", "", text)
+        return html.unescape(text)
+
+    def _reply_subject(self, base_subject: str) -> str:
+        subject = (base_subject or "").strip() or "nanobot reply"
+        prefix = self.config.subject_prefix or "Re: "
+        if subject.lower().startswith("re:"):
+            return subject
+        return f"{prefix}{subject}"

nanobot/channels/feishu.py

@@ -0,0 +1,402 @@
+"""Feishu/Lark channel implementation using lark-oapi SDK with WebSocket long connection."""
+
+import asyncio
+import json
+import re
+import threading
+from collections import OrderedDict
+from typing import Any
+
+from loguru import logger
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.base import BaseChannel
+from nanobot.config.schema import FeishuConfig
+
+try:
+    import lark_oapi as lark
+    from lark_oapi.api.im.v1 import (
+        CreateMessageRequest,
+        CreateMessageRequestBody,
+        CreateMessageReactionRequest,
+        CreateMessageReactionRequestBody,
+        Emoji,
+        P2ImMessageReceiveV1,
+    )
+    FEISHU_AVAILABLE = True
+except ImportError:
+    FEISHU_AVAILABLE = False
+    lark = None
+    Emoji = None
+
+# Message type display mapping
+MSG_TYPE_MAP = {
+    "image": "[image]",
+    "audio": "[audio]",
+    "file": "[file]",
+    "sticker": "[sticker]",
+}
+
+
+def _extract_post_text(content_json: dict) -> str:
+    """Extract plain text from Feishu post (rich text) message content.
+    
+    Supports two formats:
+    1. Direct format: {"title": "...", "content": [...]}
+    2. Localized format: {"zh_cn": {"title": "...", "content": [...]}}
+    """
+    def extract_from_lang(lang_content: dict) -> str | None:
+        if not isinstance(lang_content, dict):
+            return None
+        title = lang_content.get("title", "")
+        content_blocks = lang_content.get("content", [])
+        if not isinstance(content_blocks, list):
+            return None
+        text_parts = []
+        if title:
+            text_parts.append(title)
+        for block in content_blocks:
+            if not isinstance(block, list):
+                continue
+            for element in block:
+                if isinstance(element, dict):
+                    tag = element.get("tag")
+                    if tag == "text":
+                        text_parts.append(element.get("text", ""))
+                    elif tag == "a":
+                        text_parts.append(element.get("text", ""))
+                    elif tag == "at":
+                        text_parts.append(f"@{element.get('user_name', 'user')}")
+        return " ".join(text_parts).strip() if text_parts else None
+    
+    # Try direct format first
+    if "content" in content_json:
+        result = extract_from_lang(content_json)
+        if result:
+            return result
+    
+    # Try localized format
+    for lang_key in ("zh_cn", "en_us", "ja_jp"):
+        lang_content = content_json.get(lang_key)
+        result = extract_from_lang(lang_content)
+        if result:
+            return result
+    
+    return ""
+
+
+class FeishuChannel(BaseChannel):
+    """
+    Feishu/Lark channel using WebSocket long connection.
+    
+    Uses WebSocket to receive events - no public IP or webhook required.
+    
+    Requires:
+    - App ID and App Secret from Feishu Open Platform
+    - Bot capability enabled
+    - Event subscription enabled (im.message.receive_v1)
+    """
+    
+    name = "feishu"
+    
+    def __init__(self, config: FeishuConfig, bus: MessageBus):
+        super().__init__(config, bus)
+        self.config: FeishuConfig = config
+        self._client: Any = None
+        self._ws_client: Any = None
+        self._ws_thread: threading.Thread | None = None
+        self._processed_message_ids: OrderedDict[str, None] = OrderedDict()  # Ordered dedup cache
+        self._loop: asyncio.AbstractEventLoop | None = None
+    
+    async def start(self) -> None:
+        """Start the Feishu bot with WebSocket long connection."""
+        if not FEISHU_AVAILABLE:
+            logger.error("Feishu SDK not installed. Run: pip install lark-oapi")
+            return
+        
+        if not self.config.app_id or not self.config.app_secret:
+            logger.error("Feishu app_id and app_secret not configured")
+            return
+        
+        self._running = True
+        self._loop = asyncio.get_running_loop()
+        
+        # Create Lark client for sending messages
+        self._client = lark.Client.builder() \
+            .app_id(self.config.app_id) \
+            .app_secret(self.config.app_secret) \
+            .log_level(lark.LogLevel.INFO) \
+            .build()
+        
+        # Create event handler (only register message receive, ignore other events)
+        event_handler = lark.EventDispatcherHandler.builder(
+            self.config.encrypt_key or "",
+            self.config.verification_token or "",
+        ).register_p2_im_message_receive_v1(
+            self._on_message_sync
+        ).build()
+        
+        # Create WebSocket client for long connection
+        self._ws_client = lark.ws.Client(
+            self.config.app_id,
+            self.config.app_secret,
+            event_handler=event_handler,
+            log_level=lark.LogLevel.INFO
+        )
+        
+        # Start WebSocket client in a separate thread with reconnect loop
+        def run_ws():
+            while self._running:
+                try:
+                    self._ws_client.start()
+                except Exception as e:
+                    logger.warning(f"Feishu WebSocket error: {e}")
+                if self._running:
+                    import time; time.sleep(5)
+        
+        self._ws_thread = threading.Thread(target=run_ws, daemon=True)
+        self._ws_thread.start()
+        
+        logger.info("Feishu bot started with WebSocket long connection")
+        logger.info("No public IP required - using WebSocket to receive events")
+        
+        # Keep running until stopped
+        while self._running:
+            await asyncio.sleep(1)
+    
+    async def stop(self) -> None:
+        """Stop the Feishu bot."""
+        self._running = False
+        if self._ws_client:
+            try:
+                self._ws_client.stop()
+            except Exception as e:
+                logger.warning(f"Error stopping WebSocket client: {e}")
+        logger.info("Feishu bot stopped")
+    
+    def _add_reaction_sync(self, message_id: str, emoji_type: str) -> None:
+        """Sync helper for adding reaction (runs in thread pool)."""
+        try:
+            request = CreateMessageReactionRequest.builder() \
+                .message_id(message_id) \
+                .request_body(
+                    CreateMessageReactionRequestBody.builder()
+                    .reaction_type(Emoji.builder().emoji_type(emoji_type).build())
+                    .build()
+                ).build()
+            
+            response = self._client.im.v1.message_reaction.create(request)
+            
+            if not response.success():
+                logger.warning(f"Failed to add reaction: code={response.code}, msg={response.msg}")
+            else:
+                logger.debug(f"Added {emoji_type} reaction to message {message_id}")
+        except Exception as e:
+            logger.warning(f"Error adding reaction: {e}")
+
+    async def _add_reaction(self, message_id: str, emoji_type: str = "THUMBSUP") -> None:
+        """
+        Add a reaction emoji to a message (non-blocking).
+        
+        Common emoji types: THUMBSUP, OK, EYES, DONE, OnIt, HEART
+        """
+        if not self._client or not Emoji:
+            return
+        
+        loop = asyncio.get_running_loop()
+        await loop.run_in_executor(None, self._add_reaction_sync, message_id, emoji_type)
+    
+    # Regex to match markdown tables (header + separator + data rows)
+    _TABLE_RE = re.compile(
+        r"((?:^[ \t]*\|.+\|[ \t]*\n)(?:^[ \t]*\|[-:\s|]+\|[ \t]*\n)(?:^[ \t]*\|.+\|[ \t]*\n?)+)",
+        re.MULTILINE,
+    )
+
+    _HEADING_RE = re.compile(r"^(#{1,6})\s+(.+)$", re.MULTILINE)
+
+    _CODE_BLOCK_RE = re.compile(r"(```[\s\S]*?```)", re.MULTILINE)
+
+    @staticmethod
+    def _parse_md_table(table_text: str) -> dict | None:
+        """Parse a markdown table into a Feishu table element."""
+        lines = [l.strip() for l in table_text.strip().split("\n") if l.strip()]
+        if len(lines) < 3:
+            return None
+        split = lambda l: [c.strip() for c in l.strip("|").split("|")]
+        headers = split(lines[0])
+        rows = [split(l) for l in lines[2:]]
+        columns = [{"tag": "column", "name": f"c{i}", "display_name": h, "width": "auto"}
+                   for i, h in enumerate(headers)]
+        return {
+            "tag": "table",
+            "page_size": len(rows) + 1,
+            "columns": columns,
+            "rows": [{f"c{i}": r[i] if i < len(r) else "" for i in range(len(headers))} for r in rows],
+        }
+
+    def _build_card_elements(self, content: str) -> list[dict]:
+        """Split content into div/markdown + table elements for Feishu card."""
+        elements, last_end = [], 0
+        for m in self._TABLE_RE.finditer(content):
+            before = content[last_end:m.start()]
+            if before.strip():
+                elements.extend(self._split_headings(before))
+            elements.append(self._parse_md_table(m.group(1)) or {"tag": "markdown", "content": m.group(1)})
+            last_end = m.end()
+        remaining = content[last_end:]
+        if remaining.strip():
+            elements.extend(self._split_headings(remaining))
+        return elements or [{"tag": "markdown", "content": content}]
+
+    def _split_headings(self, content: str) -> list[dict]:
+        """Split content by headings, converting headings to div elements."""
+        protected = content
+        code_blocks = []
+        for m in self._CODE_BLOCK_RE.finditer(content):
+            code_blocks.append(m.group(1))
+            protected = protected.replace(m.group(1), f"\x00CODE{len(code_blocks)-1}\x00", 1)
+
+        elements = []
+        last_end = 0
+        for m in self._HEADING_RE.finditer(protected):
+            before = protected[last_end:m.start()].strip()
+            if before:
+                elements.append({"tag": "markdown", "content": before})
+            level = len(m.group(1))
+            text = m.group(2).strip()
+            elements.append({
+                "tag": "div",
+                "text": {
+                    "tag": "lark_md",
+                    "content": f"**{text}**",
+                },
+            })
+            last_end = m.end()
+        remaining = protected[last_end:].strip()
+        if remaining:
+            elements.append({"tag": "markdown", "content": remaining})
+
+        for i, cb in enumerate(code_blocks):
+            for el in elements:
+                if el.get("tag") == "markdown":
+                    el["content"] = el["content"].replace(f"\x00CODE{i}\x00", cb)
+
+        return elements or [{"tag": "markdown", "content": content}]
+
+    async def send(self, msg: OutboundMessage) -> None:
+        """Send a message through Feishu."""
+        if not self._client:
+            logger.warning("Feishu client not initialized")
+            return
+        
+        try:
+            # Determine receive_id_type based on chat_id format
+            # open_id starts with "ou_", chat_id starts with "oc_"
+            if msg.chat_id.startswith("oc_"):
+                receive_id_type = "chat_id"
+            else:
+                receive_id_type = "open_id"
+            
+            # Build card with markdown + table support
+            elements = self._build_card_elements(msg.content)
+            card = {
+                "config": {"wide_screen_mode": True},
+                "elements": elements,
+            }
+            content = json.dumps(card, ensure_ascii=False)
+            
+            request = CreateMessageRequest.builder() \
+                .receive_id_type(receive_id_type) \
+                .request_body(
+                    CreateMessageRequestBody.builder()
+                    .receive_id(msg.chat_id)
+                    .msg_type("interactive")
+                    .content(content)
+                    .build()
+                ).build()
+            
+            response = self._client.im.v1.message.create(request)
+            
+            if not response.success():
+                logger.error(
+                    f"Failed to send Feishu message: code={response.code}, "
+                    f"msg={response.msg}, log_id={response.get_log_id()}"
+                )
+            else:
+                logger.debug(f"Feishu message sent to {msg.chat_id}")
+                
+        except Exception as e:
+            logger.error(f"Error sending Feishu message: {e}")
+    
+    def _on_message_sync(self, data: "P2ImMessageReceiveV1") -> None:
+        """
+        Sync handler for incoming messages (called from WebSocket thread).
+        Schedules async handling in the main event loop.
+        """
+        if self._loop and self._loop.is_running():
+            asyncio.run_coroutine_threadsafe(self._on_message(data), self._loop)
+    
+    async def _on_message(self, data: "P2ImMessageReceiveV1") -> None:
+        """Handle incoming message from Feishu."""
+        try:
+            event = data.event
+            message = event.message
+            sender = event.sender
+            
+            # Deduplication check
+            message_id = message.message_id
+            if message_id in self._processed_message_ids:
+                return
+            self._processed_message_ids[message_id] = None
+            
+            # Trim cache: keep most recent 500 when exceeds 1000
+            while len(self._processed_message_ids) > 1000:
+                self._processed_message_ids.popitem(last=False)
+            
+            # Skip bot messages
+            sender_type = sender.sender_type
+            if sender_type == "bot":
+                return
+            
+            sender_id = sender.sender_id.open_id if sender.sender_id else "unknown"
+            chat_id = message.chat_id
+            chat_type = message.chat_type  # "p2p" or "group"
+            msg_type = message.message_type
+            
+            # Add reaction to indicate "seen"
+            await self._add_reaction(message_id, "THUMBSUP")
+            
+            # Parse message content
+            if msg_type == "text":
+                try:
+                    content = json.loads(message.content).get("text", "")
+                except json.JSONDecodeError:
+                    content = message.content or ""
+            elif msg_type == "post":
+                try:
+                    content_json = json.loads(message.content)
+                    content = _extract_post_text(content_json)
+                except (json.JSONDecodeError, TypeError):
+                    content = message.content or ""
+            else:
+                content = MSG_TYPE_MAP.get(msg_type, f"[{msg_type}]")
+            
+            if not content:
+                return
+            
+            # Forward to message bus
+            reply_to = chat_id if chat_type == "group" else sender_id
+            await self._handle_message(
+                sender_id=sender_id,
+                chat_id=reply_to,
+                content=content,
+                metadata={
+                    "message_id": message_id,
+                    "chat_type": chat_type,
+                    "msg_type": msg_type,
+                }
+            )
+            
+        except Exception as e:
+            logger.error(f"Error processing Feishu message: {e}")

nanobot/channels/manager.py

@@ -1,5 +1,7 @@
 """Channel manager for coordinating chat channels."""
 
+from __future__ import annotations
+
 import asyncio
 from typing import Any
 
@@ -56,8 +58,94 @@ class ChannelManager:
             except ImportError as e:
                 logger.warning(f"WhatsApp channel not available: {e}")
 
+        # Discord channel
+        if self.config.channels.discord.enabled:
+            try:
+                from nanobot.channels.discord import DiscordChannel
+                self.channels["discord"] = DiscordChannel(
+                    self.config.channels.discord, self.bus
+                )
+                logger.info("Discord channel enabled")
+            except ImportError as e:
+                logger.warning(f"Discord channel not available: {e}")
+        
+        # Feishu channel
+        if self.config.channels.feishu.enabled:
+            try:
+                from nanobot.channels.feishu import FeishuChannel
+                self.channels["feishu"] = FeishuChannel(
+                    self.config.channels.feishu, self.bus
+                )
+                logger.info("Feishu channel enabled")
+            except ImportError as e:
+                logger.warning(f"Feishu channel not available: {e}")
+
+        # Mochat channel
+        if self.config.channels.mochat.enabled:
+            try:
+                from nanobot.channels.mochat import MochatChannel
+
+                self.channels["mochat"] = MochatChannel(
+                    self.config.channels.mochat, self.bus
+                )
+                logger.info("Mochat channel enabled")
+            except ImportError as e:
+                logger.warning(f"Mochat channel not available: {e}")
+
+        # DingTalk channel
+        if self.config.channels.dingtalk.enabled:
+            try:
+                from nanobot.channels.dingtalk import DingTalkChannel
+                self.channels["dingtalk"] = DingTalkChannel(
+                    self.config.channels.dingtalk, self.bus
+                )
+                logger.info("DingTalk channel enabled")
+            except ImportError as e:
+                logger.warning(f"DingTalk channel not available: {e}")
+
+        # Email channel
+        if self.config.channels.email.enabled:
+            try:
+                from nanobot.channels.email import EmailChannel
+                self.channels["email"] = EmailChannel(
+                    self.config.channels.email, self.bus
+                )
+                logger.info("Email channel enabled")
+            except ImportError as e:
+                logger.warning(f"Email channel not available: {e}")
+
+        # Slack channel
+        if self.config.channels.slack.enabled:
+            try:
+                from nanobot.channels.slack import SlackChannel
+                self.channels["slack"] = SlackChannel(
+                    self.config.channels.slack, self.bus
+                )
+                logger.info("Slack channel enabled")
+            except ImportError as e:
+                logger.warning(f"Slack channel not available: {e}")
+
+        # QQ channel
+        if self.config.channels.qq.enabled:
+            try:
+                from nanobot.channels.qq import QQChannel
+                self.channels["qq"] = QQChannel(
+                    self.config.channels.qq,
+                    self.bus,
+                )
+                logger.info("QQ channel enabled")
+            except ImportError as e:
+                logger.warning(f"QQ channel not available: {e}")
+    
+    async def _start_channel(self, name: str, channel: BaseChannel) -> None:
+        """Start a channel and log any exceptions."""
+        try:
+            await channel.start()
+        except Exception as e:
+            logger.error(f"Failed to start channel {name}: {e}")
+
     async def start_all(self) -> None:
-        """Start WhatsApp channel and the outbound dispatcher."""
+        """Start all channels and the outbound dispatcher."""
         if not self.channels:
             logger.warning("No channels enabled")
             return
@@ -65,11 +153,11 @@ class ChannelManager:
         # Start outbound dispatcher
         self._dispatch_task = asyncio.create_task(self._dispatch_outbound())
         
-        # Start WhatsApp channel
+        # Start channels
         tasks = []
         for name, channel in self.channels.items():
             logger.info(f"Starting {name} channel...")
-            tasks.append(asyncio.create_task(channel.start()))
+            tasks.append(asyncio.create_task(self._start_channel(name, channel)))
         
         # Wait for all to complete (they should run forever)
         await asyncio.gather(*tasks, return_exceptions=True)

nanobot/channels/mochat.py

@@ -0,0 +1,895 @@
+"""Mochat channel implementation using Socket.IO with HTTP polling fallback."""
+
+from __future__ import annotations
+
+import asyncio
+import json
+from collections import deque
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Any
+
+import httpx
+from loguru import logger
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.base import BaseChannel
+from nanobot.config.schema import MochatConfig
+from nanobot.utils.helpers import get_data_path
+
+try:
+    import socketio
+    SOCKETIO_AVAILABLE = True
+except ImportError:
+    socketio = None
+    SOCKETIO_AVAILABLE = False
+
+try:
+    import msgpack  # noqa: F401
+    MSGPACK_AVAILABLE = True
+except ImportError:
+    MSGPACK_AVAILABLE = False
+
+MAX_SEEN_MESSAGE_IDS = 2000
+CURSOR_SAVE_DEBOUNCE_S = 0.5
+
+
+# ---------------------------------------------------------------------------
+# Data classes
+# ---------------------------------------------------------------------------
+
+@dataclass
+class MochatBufferedEntry:
+    """Buffered inbound entry for delayed dispatch."""
+    raw_body: str
+    author: str
+    sender_name: str = ""
+    sender_username: str = ""
+    timestamp: int | None = None
+    message_id: str = ""
+    group_id: str = ""
+
+
+@dataclass
+class DelayState:
+    """Per-target delayed message state."""
+    entries: list[MochatBufferedEntry] = field(default_factory=list)
+    lock: asyncio.Lock = field(default_factory=asyncio.Lock)
+    timer: asyncio.Task | None = None
+
+
+@dataclass
+class MochatTarget:
+    """Outbound target resolution result."""
+    id: str
+    is_panel: bool
+
+
+# ---------------------------------------------------------------------------
+# Pure helpers
+# ---------------------------------------------------------------------------
+
+def _safe_dict(value: Any) -> dict:
+    """Return *value* if it's a dict, else empty dict."""
+    return value if isinstance(value, dict) else {}
+
+
+def _str_field(src: dict, *keys: str) -> str:
+    """Return the first non-empty str value found for *keys*, stripped."""
+    for k in keys:
+        v = src.get(k)
+        if isinstance(v, str) and v.strip():
+            return v.strip()
+    return ""
+
+
+def _make_synthetic_event(
+    message_id: str, author: str, content: Any,
+    meta: Any, group_id: str, converse_id: str,
+    timestamp: Any = None, *, author_info: Any = None,
+) -> dict[str, Any]:
+    """Build a synthetic ``message.add`` event dict."""
+    payload: dict[str, Any] = {
+        "messageId": message_id, "author": author,
+        "content": content, "meta": _safe_dict(meta),
+        "groupId": group_id, "converseId": converse_id,
+    }
+    if author_info is not None:
+        payload["authorInfo"] = _safe_dict(author_info)
+    return {
+        "type": "message.add",
+        "timestamp": timestamp or datetime.utcnow().isoformat(),
+        "payload": payload,
+    }
+
+
+def normalize_mochat_content(content: Any) -> str:
+    """Normalize content payload to text."""
+    if isinstance(content, str):
+        return content.strip()
+    if content is None:
+        return ""
+    try:
+        return json.dumps(content, ensure_ascii=False)
+    except TypeError:
+        return str(content)
+
+
+def resolve_mochat_target(raw: str) -> MochatTarget:
+    """Resolve id and target kind from user-provided target string."""
+    trimmed = (raw or "").strip()
+    if not trimmed:
+        return MochatTarget(id="", is_panel=False)
+
+    lowered = trimmed.lower()
+    cleaned, forced_panel = trimmed, False
+    for prefix in ("mochat:", "group:", "channel:", "panel:"):
+        if lowered.startswith(prefix):
+            cleaned = trimmed[len(prefix):].strip()
+            forced_panel = prefix in {"group:", "channel:", "panel:"}
+            break
+
+    if not cleaned:
+        return MochatTarget(id="", is_panel=False)
+    return MochatTarget(id=cleaned, is_panel=forced_panel or not cleaned.startswith("session_"))
+
+
+def extract_mention_ids(value: Any) -> list[str]:
+    """Extract mention ids from heterogeneous mention payload."""
+    if not isinstance(value, list):
+        return []
+    ids: list[str] = []
+    for item in value:
+        if isinstance(item, str):
+            if item.strip():
+                ids.append(item.strip())
+        elif isinstance(item, dict):
+            for key in ("id", "userId", "_id"):
+                candidate = item.get(key)
+                if isinstance(candidate, str) and candidate.strip():
+                    ids.append(candidate.strip())
+                    break
+    return ids
+
+
+def resolve_was_mentioned(payload: dict[str, Any], agent_user_id: str) -> bool:
+    """Resolve mention state from payload metadata and text fallback."""
+    meta = payload.get("meta")
+    if isinstance(meta, dict):
+        if meta.get("mentioned") is True or meta.get("wasMentioned") is True:
+            return True
+        for f in ("mentions", "mentionIds", "mentionedUserIds", "mentionedUsers"):
+            if agent_user_id and agent_user_id in extract_mention_ids(meta.get(f)):
+                return True
+    if not agent_user_id:
+        return False
+    content = payload.get("content")
+    if not isinstance(content, str) or not content:
+        return False
+    return f"<@{agent_user_id}>" in content or f"@{agent_user_id}" in content
+
+
+def resolve_require_mention(config: MochatConfig, session_id: str, group_id: str) -> bool:
+    """Resolve mention requirement for group/panel conversations."""
+    groups = config.groups or {}
+    for key in (group_id, session_id, "*"):
+        if key and key in groups:
+            return bool(groups[key].require_mention)
+    return bool(config.mention.require_in_groups)
+
+
+def build_buffered_body(entries: list[MochatBufferedEntry], is_group: bool) -> str:
+    """Build text body from one or more buffered entries."""
+    if not entries:
+        return ""
+    if len(entries) == 1:
+        return entries[0].raw_body
+    lines: list[str] = []
+    for entry in entries:
+        if not entry.raw_body:
+            continue
+        if is_group:
+            label = entry.sender_name.strip() or entry.sender_username.strip() or entry.author
+            if label:
+                lines.append(f"{label}: {entry.raw_body}")
+                continue
+        lines.append(entry.raw_body)
+    return "\n".join(lines).strip()
+
+
+def parse_timestamp(value: Any) -> int | None:
+    """Parse event timestamp to epoch milliseconds."""
+    if not isinstance(value, str) or not value.strip():
+        return None
+    try:
+        return int(datetime.fromisoformat(value.replace("Z", "+00:00")).timestamp() * 1000)
+    except ValueError:
+        return None
+
+
+# ---------------------------------------------------------------------------
+# Channel
+# ---------------------------------------------------------------------------
+
+class MochatChannel(BaseChannel):
+    """Mochat channel using socket.io with fallback polling workers."""
+
+    name = "mochat"
+
+    def __init__(self, config: MochatConfig, bus: MessageBus):
+        super().__init__(config, bus)
+        self.config: MochatConfig = config
+        self._http: httpx.AsyncClient | None = None
+        self._socket: Any = None
+        self._ws_connected = self._ws_ready = False
+
+        self._state_dir = get_data_path() / "mochat"
+        self._cursor_path = self._state_dir / "session_cursors.json"
+        self._session_cursor: dict[str, int] = {}
+        self._cursor_save_task: asyncio.Task | None = None
+
+        self._session_set: set[str] = set()
+        self._panel_set: set[str] = set()
+        self._auto_discover_sessions = self._auto_discover_panels = False
+
+        self._cold_sessions: set[str] = set()
+        self._session_by_converse: dict[str, str] = {}
+
+        self._seen_set: dict[str, set[str]] = {}
+        self._seen_queue: dict[str, deque[str]] = {}
+        self._delay_states: dict[str, DelayState] = {}
+
+        self._fallback_mode = False
+        self._session_fallback_tasks: dict[str, asyncio.Task] = {}
+        self._panel_fallback_tasks: dict[str, asyncio.Task] = {}
+        self._refresh_task: asyncio.Task | None = None
+        self._target_locks: dict[str, asyncio.Lock] = {}
+
+    # ---- lifecycle ---------------------------------------------------------
+
+    async def start(self) -> None:
+        """Start Mochat channel workers and websocket connection."""
+        if not self.config.claw_token:
+            logger.error("Mochat claw_token not configured")
+            return
+
+        self._running = True
+        self._http = httpx.AsyncClient(timeout=30.0)
+        self._state_dir.mkdir(parents=True, exist_ok=True)
+        await self._load_session_cursors()
+        self._seed_targets_from_config()
+        await self._refresh_targets(subscribe_new=False)
+
+        if not await self._start_socket_client():
+            await self._ensure_fallback_workers()
+
+        self._refresh_task = asyncio.create_task(self._refresh_loop())
+        while self._running:
+            await asyncio.sleep(1)
+
+    async def stop(self) -> None:
+        """Stop all workers and clean up resources."""
+        self._running = False
+        if self._refresh_task:
+            self._refresh_task.cancel()
+            self._refresh_task = None
+
+        await self._stop_fallback_workers()
+        await self._cancel_delay_timers()
+
+        if self._socket:
+            try:
+                await self._socket.disconnect()
+            except Exception:
+                pass
+            self._socket = None
+
+        if self._cursor_save_task:
+            self._cursor_save_task.cancel()
+            self._cursor_save_task = None
+        await self._save_session_cursors()
+
+        if self._http:
+            await self._http.aclose()
+            self._http = None
+        self._ws_connected = self._ws_ready = False
+
+    async def send(self, msg: OutboundMessage) -> None:
+        """Send outbound message to session or panel."""
+        if not self.config.claw_token:
+            logger.warning("Mochat claw_token missing, skip send")
+            return
+
+        parts = ([msg.content.strip()] if msg.content and msg.content.strip() else [])
+        if msg.media:
+            parts.extend(m for m in msg.media if isinstance(m, str) and m.strip())
+        content = "\n".join(parts).strip()
+        if not content:
+            return
+
+        target = resolve_mochat_target(msg.chat_id)
+        if not target.id:
+            logger.warning("Mochat outbound target is empty")
+            return
+
+        is_panel = (target.is_panel or target.id in self._panel_set) and not target.id.startswith("session_")
+        try:
+            if is_panel:
+                await self._api_send("/api/claw/groups/panels/send", "panelId", target.id,
+                                     content, msg.reply_to, self._read_group_id(msg.metadata))
+            else:
+                await self._api_send("/api/claw/sessions/send", "sessionId", target.id,
+                                     content, msg.reply_to)
+        except Exception as e:
+            logger.error(f"Failed to send Mochat message: {e}")
+
+    # ---- config / init helpers ---------------------------------------------
+
+    def _seed_targets_from_config(self) -> None:
+        sessions, self._auto_discover_sessions = self._normalize_id_list(self.config.sessions)
+        panels, self._auto_discover_panels = self._normalize_id_list(self.config.panels)
+        self._session_set.update(sessions)
+        self._panel_set.update(panels)
+        for sid in sessions:
+            if sid not in self._session_cursor:
+                self._cold_sessions.add(sid)
+
+    @staticmethod
+    def _normalize_id_list(values: list[str]) -> tuple[list[str], bool]:
+        cleaned = [str(v).strip() for v in values if str(v).strip()]
+        return sorted({v for v in cleaned if v != "*"}), "*" in cleaned
+
+    # ---- websocket ---------------------------------------------------------
+
+    async def _start_socket_client(self) -> bool:
+        if not SOCKETIO_AVAILABLE:
+            logger.warning("python-socketio not installed, Mochat using polling fallback")
+            return False
+
+        serializer = "default"
+        if not self.config.socket_disable_msgpack:
+            if MSGPACK_AVAILABLE:
+                serializer = "msgpack"
+            else:
+                logger.warning("msgpack not installed but socket_disable_msgpack=false; using JSON")
+
+        client = socketio.AsyncClient(
+            reconnection=True,
+            reconnection_attempts=self.config.max_retry_attempts or None,
+            reconnection_delay=max(0.1, self.config.socket_reconnect_delay_ms / 1000.0),
+            reconnection_delay_max=max(0.1, self.config.socket_max_reconnect_delay_ms / 1000.0),
+            logger=False, engineio_logger=False, serializer=serializer,
+        )
+
+        @client.event
+        async def connect() -> None:
+            self._ws_connected, self._ws_ready = True, False
+            logger.info("Mochat websocket connected")
+            subscribed = await self._subscribe_all()
+            self._ws_ready = subscribed
+            await (self._stop_fallback_workers() if subscribed else self._ensure_fallback_workers())
+
+        @client.event
+        async def disconnect() -> None:
+            if not self._running:
+                return
+            self._ws_connected = self._ws_ready = False
+            logger.warning("Mochat websocket disconnected")
+            await self._ensure_fallback_workers()
+
+        @client.event
+        async def connect_error(data: Any) -> None:
+            logger.error(f"Mochat websocket connect error: {data}")
+
+        @client.on("claw.session.events")
+        async def on_session_events(payload: dict[str, Any]) -> None:
+            await self._handle_watch_payload(payload, "session")
+
+        @client.on("claw.panel.events")
+        async def on_panel_events(payload: dict[str, Any]) -> None:
+            await self._handle_watch_payload(payload, "panel")
+
+        for ev in ("notify:chat.inbox.append", "notify:chat.message.add",
+                    "notify:chat.message.update", "notify:chat.message.recall",
+                    "notify:chat.message.delete"):
+            client.on(ev, self._build_notify_handler(ev))
+
+        socket_url = (self.config.socket_url or self.config.base_url).strip().rstrip("/")
+        socket_path = (self.config.socket_path or "/socket.io").strip().lstrip("/")
+
+        try:
+            self._socket = client
+            await client.connect(
+                socket_url, transports=["websocket"], socketio_path=socket_path,
+                auth={"token": self.config.claw_token},
+                wait_timeout=max(1.0, self.config.socket_connect_timeout_ms / 1000.0),
+            )
+            return True
+        except Exception as e:
+            logger.error(f"Failed to connect Mochat websocket: {e}")
+            try:
+                await client.disconnect()
+            except Exception:
+                pass
+            self._socket = None
+            return False
+
+    def _build_notify_handler(self, event_name: str):
+        async def handler(payload: Any) -> None:
+            if event_name == "notify:chat.inbox.append":
+                await self._handle_notify_inbox_append(payload)
+            elif event_name.startswith("notify:chat.message."):
+                await self._handle_notify_chat_message(payload)
+        return handler
+
+    # ---- subscribe ---------------------------------------------------------
+
+    async def _subscribe_all(self) -> bool:
+        ok = await self._subscribe_sessions(sorted(self._session_set))
+        ok = await self._subscribe_panels(sorted(self._panel_set)) and ok
+        if self._auto_discover_sessions or self._auto_discover_panels:
+            await self._refresh_targets(subscribe_new=True)
+        return ok
+
+    async def _subscribe_sessions(self, session_ids: list[str]) -> bool:
+        if not session_ids:
+            return True
+        for sid in session_ids:
+            if sid not in self._session_cursor:
+                self._cold_sessions.add(sid)
+
+        ack = await self._socket_call("com.claw.im.subscribeSessions", {
+            "sessionIds": session_ids, "cursors": self._session_cursor,
+            "limit": self.config.watch_limit,
+        })
+        if not ack.get("result"):
+            logger.error(f"Mochat subscribeSessions failed: {ack.get('message', 'unknown error')}")
+            return False
+
+        data = ack.get("data")
+        items: list[dict[str, Any]] = []
+        if isinstance(data, list):
+            items = [i for i in data if isinstance(i, dict)]
+        elif isinstance(data, dict):
+            sessions = data.get("sessions")
+            if isinstance(sessions, list):
+                items = [i for i in sessions if isinstance(i, dict)]
+            elif "sessionId" in data:
+                items = [data]
+        for p in items:
+            await self._handle_watch_payload(p, "session")
+        return True
+
+    async def _subscribe_panels(self, panel_ids: list[str]) -> bool:
+        if not self._auto_discover_panels and not panel_ids:
+            return True
+        ack = await self._socket_call("com.claw.im.subscribePanels", {"panelIds": panel_ids})
+        if not ack.get("result"):
+            logger.error(f"Mochat subscribePanels failed: {ack.get('message', 'unknown error')}")
+            return False
+        return True
+
+    async def _socket_call(self, event_name: str, payload: dict[str, Any]) -> dict[str, Any]:
+        if not self._socket:
+            return {"result": False, "message": "socket not connected"}
+        try:
+            raw = await self._socket.call(event_name, payload, timeout=10)
+        except Exception as e:
+            return {"result": False, "message": str(e)}
+        return raw if isinstance(raw, dict) else {"result": True, "data": raw}
+
+    # ---- refresh / discovery -----------------------------------------------
+
+    async def _refresh_loop(self) -> None:
+        interval_s = max(1.0, self.config.refresh_interval_ms / 1000.0)
+        while self._running:
+            await asyncio.sleep(interval_s)
+            try:
+                await self._refresh_targets(subscribe_new=self._ws_ready)
+            except Exception as e:
+                logger.warning(f"Mochat refresh failed: {e}")
+            if self._fallback_mode:
+                await self._ensure_fallback_workers()
+
+    async def _refresh_targets(self, subscribe_new: bool) -> None:
+        if self._auto_discover_sessions:
+            await self._refresh_sessions_directory(subscribe_new)
+        if self._auto_discover_panels:
+            await self._refresh_panels(subscribe_new)
+
+    async def _refresh_sessions_directory(self, subscribe_new: bool) -> None:
+        try:
+            response = await self._post_json("/api/claw/sessions/list", {})
+        except Exception as e:
+            logger.warning(f"Mochat listSessions failed: {e}")
+            return
+
+        sessions = response.get("sessions")
+        if not isinstance(sessions, list):
+            return
+
+        new_ids: list[str] = []
+        for s in sessions:
+            if not isinstance(s, dict):
+                continue
+            sid = _str_field(s, "sessionId")
+            if not sid:
+                continue
+            if sid not in self._session_set:
+                self._session_set.add(sid)
+                new_ids.append(sid)
+                if sid not in self._session_cursor:
+                    self._cold_sessions.add(sid)
+            cid = _str_field(s, "converseId")
+            if cid:
+                self._session_by_converse[cid] = sid
+
+        if not new_ids:
+            return
+        if self._ws_ready and subscribe_new:
+            await self._subscribe_sessions(new_ids)
+        if self._fallback_mode:
+            await self._ensure_fallback_workers()
+
+    async def _refresh_panels(self, subscribe_new: bool) -> None:
+        try:
+            response = await self._post_json("/api/claw/groups/get", {})
+        except Exception as e:
+            logger.warning(f"Mochat getWorkspaceGroup failed: {e}")
+            return
+
+        raw_panels = response.get("panels")
+        if not isinstance(raw_panels, list):
+            return
+
+        new_ids: list[str] = []
+        for p in raw_panels:
+            if not isinstance(p, dict):
+                continue
+            pt = p.get("type")
+            if isinstance(pt, int) and pt != 0:
+                continue
+            pid = _str_field(p, "id", "_id")
+            if pid and pid not in self._panel_set:
+                self._panel_set.add(pid)
+                new_ids.append(pid)
+
+        if not new_ids:
+            return
+        if self._ws_ready and subscribe_new:
+            await self._subscribe_panels(new_ids)
+        if self._fallback_mode:
+            await self._ensure_fallback_workers()
+
+    # ---- fallback workers --------------------------------------------------
+
+    async def _ensure_fallback_workers(self) -> None:
+        if not self._running:
+            return
+        self._fallback_mode = True
+        for sid in sorted(self._session_set):
+            t = self._session_fallback_tasks.get(sid)
+            if not t or t.done():
+                self._session_fallback_tasks[sid] = asyncio.create_task(self._session_watch_worker(sid))
+        for pid in sorted(self._panel_set):
+            t = self._panel_fallback_tasks.get(pid)
+            if not t or t.done():
+                self._panel_fallback_tasks[pid] = asyncio.create_task(self._panel_poll_worker(pid))
+
+    async def _stop_fallback_workers(self) -> None:
+        self._fallback_mode = False
+        tasks = [*self._session_fallback_tasks.values(), *self._panel_fallback_tasks.values()]
+        for t in tasks:
+            t.cancel()
+        if tasks:
+            await asyncio.gather(*tasks, return_exceptions=True)
+        self._session_fallback_tasks.clear()
+        self._panel_fallback_tasks.clear()
+
+    async def _session_watch_worker(self, session_id: str) -> None:
+        while self._running and self._fallback_mode:
+            try:
+                payload = await self._post_json("/api/claw/sessions/watch", {
+                    "sessionId": session_id, "cursor": self._session_cursor.get(session_id, 0),
+                    "timeoutMs": self.config.watch_timeout_ms, "limit": self.config.watch_limit,
+                })
+                await self._handle_watch_payload(payload, "session")
+            except asyncio.CancelledError:
+                break
+            except Exception as e:
+                logger.warning(f"Mochat watch fallback error ({session_id}): {e}")
+                await asyncio.sleep(max(0.1, self.config.retry_delay_ms / 1000.0))
+
+    async def _panel_poll_worker(self, panel_id: str) -> None:
+        sleep_s = max(1.0, self.config.refresh_interval_ms / 1000.0)
+        while self._running and self._fallback_mode:
+            try:
+                resp = await self._post_json("/api/claw/groups/panels/messages", {
+                    "panelId": panel_id, "limit": min(100, max(1, self.config.watch_limit)),
+                })
+                msgs = resp.get("messages")
+                if isinstance(msgs, list):
+                    for m in reversed(msgs):
+                        if not isinstance(m, dict):
+                            continue
+                        evt = _make_synthetic_event(
+                            message_id=str(m.get("messageId") or ""),
+                            author=str(m.get("author") or ""),
+                            content=m.get("content"),
+                            meta=m.get("meta"), group_id=str(resp.get("groupId") or ""),
+                            converse_id=panel_id, timestamp=m.get("createdAt"),
+                            author_info=m.get("authorInfo"),
+                        )
+                        await self._process_inbound_event(panel_id, evt, "panel")
+            except asyncio.CancelledError:
+                break
+            except Exception as e:
+                logger.warning(f"Mochat panel polling error ({panel_id}): {e}")
+            await asyncio.sleep(sleep_s)
+
+    # ---- inbound event processing ------------------------------------------
+
+    async def _handle_watch_payload(self, payload: dict[str, Any], target_kind: str) -> None:
+        if not isinstance(payload, dict):
+            return
+        target_id = _str_field(payload, "sessionId")
+        if not target_id:
+            return
+
+        lock = self._target_locks.setdefault(f"{target_kind}:{target_id}", asyncio.Lock())
+        async with lock:
+            prev = self._session_cursor.get(target_id, 0) if target_kind == "session" else 0
+            pc = payload.get("cursor")
+            if target_kind == "session" and isinstance(pc, int) and pc >= 0:
+                self._mark_session_cursor(target_id, pc)
+
+            raw_events = payload.get("events")
+            if not isinstance(raw_events, list):
+                return
+            if target_kind == "session" and target_id in self._cold_sessions:
+                self._cold_sessions.discard(target_id)
+                return
+
+            for event in raw_events:
+                if not isinstance(event, dict):
+                    continue
+                seq = event.get("seq")
+                if target_kind == "session" and isinstance(seq, int) and seq > self._session_cursor.get(target_id, prev):
+                    self._mark_session_cursor(target_id, seq)
+                if event.get("type") == "message.add":
+                    await self._process_inbound_event(target_id, event, target_kind)
+
+    async def _process_inbound_event(self, target_id: str, event: dict[str, Any], target_kind: str) -> None:
+        payload = event.get("payload")
+        if not isinstance(payload, dict):
+            return
+
+        author = _str_field(payload, "author")
+        if not author or (self.config.agent_user_id and author == self.config.agent_user_id):
+            return
+        if not self.is_allowed(author):
+            return
+
+        message_id = _str_field(payload, "messageId")
+        seen_key = f"{target_kind}:{target_id}"
+        if message_id and self._remember_message_id(seen_key, message_id):
+            return
+
+        raw_body = normalize_mochat_content(payload.get("content")) or "[empty message]"
+        ai = _safe_dict(payload.get("authorInfo"))
+        sender_name = _str_field(ai, "nickname", "email")
+        sender_username = _str_field(ai, "agentId")
+
+        group_id = _str_field(payload, "groupId")
+        is_group = bool(group_id)
+        was_mentioned = resolve_was_mentioned(payload, self.config.agent_user_id)
+        require_mention = target_kind == "panel" and is_group and resolve_require_mention(self.config, target_id, group_id)
+        use_delay = target_kind == "panel" and self.config.reply_delay_mode == "non-mention"
+
+        if require_mention and not was_mentioned and not use_delay:
+            return
+
+        entry = MochatBufferedEntry(
+            raw_body=raw_body, author=author, sender_name=sender_name,
+            sender_username=sender_username, timestamp=parse_timestamp(event.get("timestamp")),
+            message_id=message_id, group_id=group_id,
+        )
+
+        if use_delay:
+            delay_key = seen_key
+            if was_mentioned:
+                await self._flush_delayed_entries(delay_key, target_id, target_kind, "mention", entry)
+            else:
+                await self._enqueue_delayed_entry(delay_key, target_id, target_kind, entry)
+            return
+
+        await self._dispatch_entries(target_id, target_kind, [entry], was_mentioned)
+
+    # ---- dedup / buffering -------------------------------------------------
+
+    def _remember_message_id(self, key: str, message_id: str) -> bool:
+        seen_set = self._seen_set.setdefault(key, set())
+        seen_queue = self._seen_queue.setdefault(key, deque())
+        if message_id in seen_set:
+            return True
+        seen_set.add(message_id)
+        seen_queue.append(message_id)
+        while len(seen_queue) > MAX_SEEN_MESSAGE_IDS:
+            seen_set.discard(seen_queue.popleft())
+        return False
+
+    async def _enqueue_delayed_entry(self, key: str, target_id: str, target_kind: str, entry: MochatBufferedEntry) -> None:
+        state = self._delay_states.setdefault(key, DelayState())
+        async with state.lock:
+            state.entries.append(entry)
+            if state.timer:
+                state.timer.cancel()
+            state.timer = asyncio.create_task(self._delay_flush_after(key, target_id, target_kind))
+
+    async def _delay_flush_after(self, key: str, target_id: str, target_kind: str) -> None:
+        await asyncio.sleep(max(0, self.config.reply_delay_ms) / 1000.0)
+        await self._flush_delayed_entries(key, target_id, target_kind, "timer", None)
+
+    async def _flush_delayed_entries(self, key: str, target_id: str, target_kind: str, reason: str, entry: MochatBufferedEntry | None) -> None:
+        state = self._delay_states.setdefault(key, DelayState())
+        async with state.lock:
+            if entry:
+                state.entries.append(entry)
+            current = asyncio.current_task()
+            if state.timer and state.timer is not current:
+                state.timer.cancel()
+            state.timer = None
+            entries = state.entries[:]
+            state.entries.clear()
+        if entries:
+            await self._dispatch_entries(target_id, target_kind, entries, reason == "mention")
+
+    async def _dispatch_entries(self, target_id: str, target_kind: str, entries: list[MochatBufferedEntry], was_mentioned: bool) -> None:
+        if not entries:
+            return
+        last = entries[-1]
+        is_group = bool(last.group_id)
+        body = build_buffered_body(entries, is_group) or "[empty message]"
+        await self._handle_message(
+            sender_id=last.author, chat_id=target_id, content=body,
+            metadata={
+                "message_id": last.message_id, "timestamp": last.timestamp,
+                "is_group": is_group, "group_id": last.group_id,
+                "sender_name": last.sender_name, "sender_username": last.sender_username,
+                "target_kind": target_kind, "was_mentioned": was_mentioned,
+                "buffered_count": len(entries),
+            },
+        )
+
+    async def _cancel_delay_timers(self) -> None:
+        for state in self._delay_states.values():
+            if state.timer:
+                state.timer.cancel()
+        self._delay_states.clear()
+
+    # ---- notify handlers ---------------------------------------------------
+
+    async def _handle_notify_chat_message(self, payload: Any) -> None:
+        if not isinstance(payload, dict):
+            return
+        group_id = _str_field(payload, "groupId")
+        panel_id = _str_field(payload, "converseId", "panelId")
+        if not group_id or not panel_id:
+            return
+        if self._panel_set and panel_id not in self._panel_set:
+            return
+
+        evt = _make_synthetic_event(
+            message_id=str(payload.get("_id") or payload.get("messageId") or ""),
+            author=str(payload.get("author") or ""),
+            content=payload.get("content"), meta=payload.get("meta"),
+            group_id=group_id, converse_id=panel_id,
+            timestamp=payload.get("createdAt"), author_info=payload.get("authorInfo"),
+        )
+        await self._process_inbound_event(panel_id, evt, "panel")
+
+    async def _handle_notify_inbox_append(self, payload: Any) -> None:
+        if not isinstance(payload, dict) or payload.get("type") != "message":
+            return
+        detail = payload.get("payload")
+        if not isinstance(detail, dict):
+            return
+        if _str_field(detail, "groupId"):
+            return
+        converse_id = _str_field(detail, "converseId")
+        if not converse_id:
+            return
+
+        session_id = self._session_by_converse.get(converse_id)
+        if not session_id:
+            await self._refresh_sessions_directory(self._ws_ready)
+            session_id = self._session_by_converse.get(converse_id)
+        if not session_id:
+            return
+
+        evt = _make_synthetic_event(
+            message_id=str(detail.get("messageId") or payload.get("_id") or ""),
+            author=str(detail.get("messageAuthor") or ""),
+            content=str(detail.get("messagePlainContent") or detail.get("messageSnippet") or ""),
+            meta={"source": "notify:chat.inbox.append", "converseId": converse_id},
+            group_id="", converse_id=converse_id, timestamp=payload.get("createdAt"),
+        )
+        await self._process_inbound_event(session_id, evt, "session")
+
+    # ---- cursor persistence ------------------------------------------------
+
+    def _mark_session_cursor(self, session_id: str, cursor: int) -> None:
+        if cursor < 0 or cursor < self._session_cursor.get(session_id, 0):
+            return
+        self._session_cursor[session_id] = cursor
+        if not self._cursor_save_task or self._cursor_save_task.done():
+            self._cursor_save_task = asyncio.create_task(self._save_cursor_debounced())
+
+    async def _save_cursor_debounced(self) -> None:
+        await asyncio.sleep(CURSOR_SAVE_DEBOUNCE_S)
+        await self._save_session_cursors()
+
+    async def _load_session_cursors(self) -> None:
+        if not self._cursor_path.exists():
+            return
+        try:
+            data = json.loads(self._cursor_path.read_text("utf-8"))
+        except Exception as e:
+            logger.warning(f"Failed to read Mochat cursor file: {e}")
+            return
+        cursors = data.get("cursors") if isinstance(data, dict) else None
+        if isinstance(cursors, dict):
+            for sid, cur in cursors.items():
+                if isinstance(sid, str) and isinstance(cur, int) and cur >= 0:
+                    self._session_cursor[sid] = cur
+
+    async def _save_session_cursors(self) -> None:
+        try:
+            self._state_dir.mkdir(parents=True, exist_ok=True)
+            self._cursor_path.write_text(json.dumps({
+                "schemaVersion": 1, "updatedAt": datetime.utcnow().isoformat(),
+                "cursors": self._session_cursor,
+            }, ensure_ascii=False, indent=2) + "\n", "utf-8")
+        except Exception as e:
+            logger.warning(f"Failed to save Mochat cursor file: {e}")
+
+    # ---- HTTP helpers ------------------------------------------------------
+
+    async def _post_json(self, path: str, payload: dict[str, Any]) -> dict[str, Any]:
+        if not self._http:
+            raise RuntimeError("Mochat HTTP client not initialized")
+        url = f"{self.config.base_url.strip().rstrip('/')}{path}"
+        response = await self._http.post(url, headers={
+            "Content-Type": "application/json", "X-Claw-Token": self.config.claw_token,
+        }, json=payload)
+        if not response.is_success:
+            raise RuntimeError(f"Mochat HTTP {response.status_code}: {response.text[:200]}")
+        try:
+            parsed = response.json()
+        except Exception:
+            parsed = response.text
+        if isinstance(parsed, dict) and isinstance(parsed.get("code"), int):
+            if parsed["code"] != 200:
+                msg = str(parsed.get("message") or parsed.get("name") or "request failed")
+                raise RuntimeError(f"Mochat API error: {msg} (code={parsed['code']})")
+            data = parsed.get("data")
+            return data if isinstance(data, dict) else {}
+        return parsed if isinstance(parsed, dict) else {}
+
+    async def _api_send(self, path: str, id_key: str, id_val: str,
+                        content: str, reply_to: str | None, group_id: str | None = None) -> dict[str, Any]:
+        """Unified send helper for session and panel messages."""
+        body: dict[str, Any] = {id_key: id_val, "content": content}
+        if reply_to:
+            body["replyTo"] = reply_to
+        if group_id:
+            body["groupId"] = group_id
+        return await self._post_json(path, body)
+
+    @staticmethod
+    def _read_group_id(metadata: dict[str, Any]) -> str | None:
+        if not isinstance(metadata, dict):
+            return None
+        value = metadata.get("group_id") or metadata.get("groupId")
+        return value.strip() if isinstance(value, str) and value.strip() else None

nanobot/channels/qq.py

@@ -0,0 +1,134 @@
+"""QQ channel implementation using botpy SDK."""
+
+import asyncio
+from collections import deque
+from typing import TYPE_CHECKING
+
+from loguru import logger
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.base import BaseChannel
+from nanobot.config.schema import QQConfig
+
+try:
+    import botpy
+    from botpy.message import C2CMessage
+
+    QQ_AVAILABLE = True
+except ImportError:
+    QQ_AVAILABLE = False
+    botpy = None
+    C2CMessage = None
+
+if TYPE_CHECKING:
+    from botpy.message import C2CMessage
+
+
+def _make_bot_class(channel: "QQChannel") -> "type[botpy.Client]":
+    """Create a botpy Client subclass bound to the given channel."""
+    intents = botpy.Intents(public_messages=True, direct_message=True)
+
+    class _Bot(botpy.Client):
+        def __init__(self):
+            super().__init__(intents=intents)
+
+        async def on_ready(self):
+            logger.info(f"QQ bot ready: {self.robot.name}")
+
+        async def on_c2c_message_create(self, message: "C2CMessage"):
+            await channel._on_message(message)
+
+        async def on_direct_message_create(self, message):
+            await channel._on_message(message)
+
+    return _Bot
+
+
+class QQChannel(BaseChannel):
+    """QQ channel using botpy SDK with WebSocket connection."""
+
+    name = "qq"
+
+    def __init__(self, config: QQConfig, bus: MessageBus):
+        super().__init__(config, bus)
+        self.config: QQConfig = config
+        self._client: "botpy.Client | None" = None
+        self._processed_ids: deque = deque(maxlen=1000)
+        self._bot_task: asyncio.Task | None = None
+
+    async def start(self) -> None:
+        """Start the QQ bot."""
+        if not QQ_AVAILABLE:
+            logger.error("QQ SDK not installed. Run: pip install qq-botpy")
+            return
+
+        if not self.config.app_id or not self.config.secret:
+            logger.error("QQ app_id and secret not configured")
+            return
+
+        self._running = True
+        BotClass = _make_bot_class(self)
+        self._client = BotClass()
+
+        self._bot_task = asyncio.create_task(self._run_bot())
+        logger.info("QQ bot started (C2C private message)")
+
+    async def _run_bot(self) -> None:
+        """Run the bot connection with auto-reconnect."""
+        while self._running:
+            try:
+                await self._client.start(appid=self.config.app_id, secret=self.config.secret)
+            except Exception as e:
+                logger.warning(f"QQ bot error: {e}")
+            if self._running:
+                logger.info("Reconnecting QQ bot in 5 seconds...")
+                await asyncio.sleep(5)
+
+    async def stop(self) -> None:
+        """Stop the QQ bot."""
+        self._running = False
+        if self._bot_task:
+            self._bot_task.cancel()
+            try:
+                await self._bot_task
+            except asyncio.CancelledError:
+                pass
+        logger.info("QQ bot stopped")
+
+    async def send(self, msg: OutboundMessage) -> None:
+        """Send a message through QQ."""
+        if not self._client:
+            logger.warning("QQ client not initialized")
+            return
+        try:
+            await self._client.api.post_c2c_message(
+                openid=msg.chat_id,
+                msg_type=0,
+                content=msg.content,
+            )
+        except Exception as e:
+            logger.error(f"Error sending QQ message: {e}")
+
+    async def _on_message(self, data: "C2CMessage") -> None:
+        """Handle incoming message from QQ."""
+        try:
+            # Dedup by message ID
+            if data.id in self._processed_ids:
+                return
+            self._processed_ids.append(data.id)
+
+            author = data.author
+            user_id = str(getattr(author, 'id', None) or getattr(author, 'user_openid', 'unknown'))
+            content = (data.content or "").strip()
+            if not content:
+                return
+
+            await self._handle_message(
+                sender_id=user_id,
+                chat_id=user_id,
+                content=content,
+                metadata={"message_id": data.id},
+            )
+        except Exception as e:
+            logger.error(f"Error handling QQ message: {e}")

nanobot/channels/slack.py

@@ -0,0 +1,237 @@
+"""Slack channel implementation using Socket Mode."""
+
+import asyncio
+import re
+from typing import Any
+
+from loguru import logger
+from slack_sdk.socket_mode.websockets import SocketModeClient
+from slack_sdk.socket_mode.request import SocketModeRequest
+from slack_sdk.socket_mode.response import SocketModeResponse
+from slack_sdk.web.async_client import AsyncWebClient
+
+from slackify_markdown import slackify_markdown
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.base import BaseChannel
+from nanobot.config.schema import SlackConfig
+
+
+class SlackChannel(BaseChannel):
+    """Slack channel using Socket Mode."""
+
+    name = "slack"
+
+    def __init__(self, config: SlackConfig, bus: MessageBus):
+        super().__init__(config, bus)
+        self.config: SlackConfig = config
+        self._web_client: AsyncWebClient | None = None
+        self._socket_client: SocketModeClient | None = None
+        self._bot_user_id: str | None = None
+
+    async def start(self) -> None:
+        """Start the Slack Socket Mode client."""
+        if not self.config.bot_token or not self.config.app_token:
+            logger.error("Slack bot/app token not configured")
+            return
+        if self.config.mode != "socket":
+            logger.error(f"Unsupported Slack mode: {self.config.mode}")
+            return
+
+        self._running = True
+
+        self._web_client = AsyncWebClient(token=self.config.bot_token)
+        self._socket_client = SocketModeClient(
+            app_token=self.config.app_token,
+            web_client=self._web_client,
+        )
+
+        self._socket_client.socket_mode_request_listeners.append(self._on_socket_request)
+
+        # Resolve bot user ID for mention handling
+        try:
+            auth = await self._web_client.auth_test()
+            self._bot_user_id = auth.get("user_id")
+            logger.info(f"Slack bot connected as {self._bot_user_id}")
+        except Exception as e:
+            logger.warning(f"Slack auth_test failed: {e}")
+
+        logger.info("Starting Slack Socket Mode client...")
+        await self._socket_client.connect()
+
+        while self._running:
+            await asyncio.sleep(1)
+
+    async def stop(self) -> None:
+        """Stop the Slack client."""
+        self._running = False
+        if self._socket_client:
+            try:
+                await self._socket_client.close()
+            except Exception as e:
+                logger.warning(f"Slack socket close failed: {e}")
+            self._socket_client = None
+
+    async def send(self, msg: OutboundMessage) -> None:
+        """Send a message through Slack."""
+        if not self._web_client:
+            logger.warning("Slack client not running")
+            return
+        try:
+            slack_meta = msg.metadata.get("slack", {}) if msg.metadata else {}
+            thread_ts = slack_meta.get("thread_ts")
+            channel_type = slack_meta.get("channel_type")
+            # Only reply in thread for channel/group messages; DMs don't use threads
+            use_thread = thread_ts and channel_type != "im"
+            await self._web_client.chat_postMessage(
+                channel=msg.chat_id,
+                text=self._to_mrkdwn(msg.content),
+                thread_ts=thread_ts if use_thread else None,
+            )
+        except Exception as e:
+            logger.error(f"Error sending Slack message: {e}")
+
+    async def _on_socket_request(
+        self,
+        client: SocketModeClient,
+        req: SocketModeRequest,
+    ) -> None:
+        """Handle incoming Socket Mode requests."""
+        if req.type != "events_api":
+            return
+
+        # Acknowledge right away
+        await client.send_socket_mode_response(
+            SocketModeResponse(envelope_id=req.envelope_id)
+        )
+
+        payload = req.payload or {}
+        event = payload.get("event") or {}
+        event_type = event.get("type")
+
+        # Handle app mentions or plain messages
+        if event_type not in ("message", "app_mention"):
+            return
+
+        sender_id = event.get("user")
+        chat_id = event.get("channel")
+
+        # Ignore bot/system messages (any subtype = not a normal user message)
+        if event.get("subtype"):
+            return
+        if self._bot_user_id and sender_id == self._bot_user_id:
+            return
+
+        # Avoid double-processing: Slack sends both `message` and `app_mention`
+        # for mentions in channels. Prefer `app_mention`.
+        text = event.get("text") or ""
+        if event_type == "message" and self._bot_user_id and f"<@{self._bot_user_id}>" in text:
+            return
+
+        # Debug: log basic event shape
+        logger.debug(
+            "Slack event: type={} subtype={} user={} channel={} channel_type={} text={}",
+            event_type,
+            event.get("subtype"),
+            sender_id,
+            chat_id,
+            event.get("channel_type"),
+            text[:80],
+        )
+        if not sender_id or not chat_id:
+            return
+
+        channel_type = event.get("channel_type") or ""
+
+        if not self._is_allowed(sender_id, chat_id, channel_type):
+            return
+
+        if channel_type != "im" and not self._should_respond_in_channel(event_type, text, chat_id):
+            return
+
+        text = self._strip_bot_mention(text)
+
+        thread_ts = event.get("thread_ts")
+        if self.config.reply_in_thread and not thread_ts:
+            thread_ts = event.get("ts")
+        # Add :eyes: reaction to the triggering message (best-effort)
+        try:
+            if self._web_client and event.get("ts"):
+                await self._web_client.reactions_add(
+                    channel=chat_id,
+                    name=self.config.react_emoji,
+                    timestamp=event.get("ts"),
+                )
+        except Exception as e:
+            logger.debug(f"Slack reactions_add failed: {e}")
+
+        await self._handle_message(
+            sender_id=sender_id,
+            chat_id=chat_id,
+            content=text,
+            metadata={
+                "slack": {
+                    "event": event,
+                    "thread_ts": thread_ts,
+                    "channel_type": channel_type,
+                }
+            },
+        )
+
+    def _is_allowed(self, sender_id: str, chat_id: str, channel_type: str) -> bool:
+        if channel_type == "im":
+            if not self.config.dm.enabled:
+                return False
+            if self.config.dm.policy == "allowlist":
+                return sender_id in self.config.dm.allow_from
+            return True
+
+        # Group / channel messages
+        if self.config.group_policy == "allowlist":
+            return chat_id in self.config.group_allow_from
+        return True
+
+    def _should_respond_in_channel(self, event_type: str, text: str, chat_id: str) -> bool:
+        if self.config.group_policy == "open":
+            return True
+        if self.config.group_policy == "mention":
+            if event_type == "app_mention":
+                return True
+            return self._bot_user_id is not None and f"<@{self._bot_user_id}>" in text
+        if self.config.group_policy == "allowlist":
+            return chat_id in self.config.group_allow_from
+        return False
+
+    def _strip_bot_mention(self, text: str) -> str:
+        if not text or not self._bot_user_id:
+            return text
+        return re.sub(rf"<@{re.escape(self._bot_user_id)}>\s*", "", text).strip()
+
+    _TABLE_RE = re.compile(r"(?m)^\|.*\|$(?:\n\|[\s:|-]*\|$)(?:\n\|.*\|$)*")
+
+    @classmethod
+    def _to_mrkdwn(cls, text: str) -> str:
+        """Convert Markdown to Slack mrkdwn, including tables."""
+        if not text:
+            return ""
+        text = cls._TABLE_RE.sub(cls._convert_table, text)
+        return slackify_markdown(text)
+
+    @staticmethod
+    def _convert_table(match: re.Match) -> str:
+        """Convert a Markdown table to a Slack-readable list."""
+        lines = [ln.strip() for ln in match.group(0).strip().splitlines() if ln.strip()]
+        if len(lines) < 2:
+            return match.group(0)
+        headers = [h.strip() for h in lines[0].strip("|").split("|")]
+        start = 2 if re.fullmatch(r"[|\s:\-]+", lines[1]) else 1
+        rows: list[str] = []
+        for line in lines[start:]:
+            cells = [c.strip() for c in line.strip("|").split("|")]
+            cells = (cells + [""] * len(headers))[: len(headers)]
+            parts = [f"**{headers[i]}**: {cells[i]}" for i in range(len(headers)) if cells[i]]
+            if parts:
+                rows.append(" · ".join(parts))
+        return "\n".join(rows)
+

nanobot/channels/telegram.py

@@ -1,11 +1,13 @@
 """Telegram channel implementation using python-telegram-bot."""
 
+from __future__ import annotations
+
 import asyncio
 import re
-
 from loguru import logger
-from telegram import Update
+from telegram import BotCommand, Update
-from telegram.ext import Application, MessageHandler, filters, ContextTypes
+from telegram.ext import Application, CommandHandler, MessageHandler, filters, ContextTypes
+from telegram.request import HTTPXRequest
 
 from nanobot.bus.events import OutboundMessage
 from nanobot.bus.queue import MessageBus
@@ -76,6 +78,26 @@ def _markdown_to_telegram_html(text: str) -> str:
     return text
 
 
+def _split_message(content: str, max_len: int = 4000) -> list[str]:
+    """Split content into chunks within max_len, preferring line breaks."""
+    if len(content) <= max_len:
+        return [content]
+    chunks: list[str] = []
+    while content:
+        if len(content) <= max_len:
+            chunks.append(content)
+            break
+        cut = content[:max_len]
+        pos = cut.rfind('\n')
+        if pos == -1:
+            pos = cut.rfind(' ')
+        if pos == -1:
+            pos = max_len
+        chunks.append(content[:pos])
+        content = content[pos:].lstrip()
+    return chunks
+
+
 class TelegramChannel(BaseChannel):
     """
     Telegram channel using long polling.
@@ -85,12 +107,25 @@ class TelegramChannel(BaseChannel):
     
     name = "telegram"
     
-    def __init__(self, config: TelegramConfig, bus: MessageBus, groq_api_key: str = ""):
+    # Commands registered with Telegram's command menu
+    BOT_COMMANDS = [
+        BotCommand("start", "Start the bot"),
+        BotCommand("new", "Start a new conversation"),
+        BotCommand("help", "Show available commands"),
+    ]
+    
+    def __init__(
+        self,
+        config: TelegramConfig,
+        bus: MessageBus,
+        groq_api_key: str = "",
+    ):
         super().__init__(config, bus)
         self.config: TelegramConfig = config
         self.groq_api_key = groq_api_key
         self._app: Application | None = None
         self._chat_ids: dict[str, int] = {}  # Map sender_id to chat_id for replies
+        self._typing_tasks: dict[str, asyncio.Task] = {}  # chat_id -> typing loop task
     
     async def start(self) -> None:
         """Start the Telegram bot with long polling."""
@@ -100,12 +135,18 @@ class TelegramChannel(BaseChannel):
         
         self._running = True
         
-        # Build the application
+        # Build the application with larger connection pool to avoid pool-timeout on long runs
-        self._app = (
+        req = HTTPXRequest(connection_pool_size=16, pool_timeout=5.0, connect_timeout=30.0, read_timeout=30.0)
-            Application.builder()
+        builder = Application.builder().token(self.config.token).request(req).get_updates_request(req)
-            .token(self.config.token)
+        if self.config.proxy:
-            .build()
+            builder = builder.proxy(self.config.proxy).get_updates_proxy(self.config.proxy)
-        )
+        self._app = builder.build()
+        self._app.add_error_handler(self._on_error)
+        
+        # Add command handlers
+        self._app.add_handler(CommandHandler("start", self._on_start))
+        self._app.add_handler(CommandHandler("new", self._forward_command))
+        self._app.add_handler(CommandHandler("help", self._forward_command))
         
         # Add message handler for text, photos, voice, documents
         self._app.add_handler(
@@ -116,20 +157,22 @@ class TelegramChannel(BaseChannel):
             )
         )
         
-        # Add /start command handler
-        from telegram.ext import CommandHandler
-        self._app.add_handler(CommandHandler("start", self._on_start))
-        
         logger.info("Starting Telegram bot (polling mode)...")
         
         # Initialize and start polling
         await self._app.initialize()
         await self._app.start()
         
-        # Get bot info
+        # Get bot info and register command menu
         bot_info = await self._app.bot.get_me()
         logger.info(f"Telegram bot @{bot_info.username} connected")
         
+        try:
+            await self._app.bot.set_my_commands(self.BOT_COMMANDS)
+            logger.debug("Telegram bot commands registered")
+        except Exception as e:
+            logger.warning(f"Failed to register bot commands: {e}")
+        
         # Start polling (this runs until stopped)
         await self._app.updater.start_polling(
             allowed_updates=["message"],
@@ -144,6 +187,10 @@ class TelegramChannel(BaseChannel):
         """Stop the Telegram bot."""
         self._running = False
         
+        # Cancel all typing indicators
+        for chat_id in list(self._typing_tasks):
+            self._stop_typing(chat_id)
+        
         if self._app:
             logger.info("Stopping Telegram bot...")
             await self._app.updater.stop()
@@ -151,32 +198,59 @@ class TelegramChannel(BaseChannel):
             await self._app.shutdown()
             self._app = None
     
+    @staticmethod
+    def _get_media_type(path: str) -> str:
+        """Guess media type from file extension."""
+        ext = path.rsplit(".", 1)[-1].lower() if "." in path else ""
+        if ext in ("jpg", "jpeg", "png", "gif", "webp"):
+            return "photo"
+        if ext == "ogg":
+            return "voice"
+        if ext in ("mp3", "m4a", "wav", "aac"):
+            return "audio"
+        return "document"
+
     async def send(self, msg: OutboundMessage) -> None:
         """Send a message through Telegram."""
         if not self._app:
             logger.warning("Telegram bot not running")
             return
 
+        self._stop_typing(msg.chat_id)
+
         try:
-            # chat_id should be the Telegram chat ID (integer)
             chat_id = int(msg.chat_id)
-            # Convert markdown to Telegram HTML
-            html_content = _markdown_to_telegram_html(msg.content)
-            await self._app.bot.send_message(
-                chat_id=chat_id,
-                text=html_content,
-                parse_mode="HTML"
-            )
         except ValueError:
             logger.error(f"Invalid chat_id: {msg.chat_id}")
+            return
+
+        # Send media files
+        for media_path in (msg.media or []):
+            try:
+                media_type = self._get_media_type(media_path)
+                sender = {
+                    "photo": self._app.bot.send_photo,
+                    "voice": self._app.bot.send_voice,
+                    "audio": self._app.bot.send_audio,
+                }.get(media_type, self._app.bot.send_document)
+                param = "photo" if media_type == "photo" else media_type if media_type in ("voice", "audio") else "document"
+                with open(media_path, 'rb') as f:
+                    await sender(chat_id=chat_id, **{param: f})
+            except Exception as e:
+                filename = media_path.rsplit("/", 1)[-1]
+                logger.error(f"Failed to send media {media_path}: {e}")
+                await self._app.bot.send_message(chat_id=chat_id, text=f"[Failed to send: {filename}]")
+
+        # Send text content
+        if msg.content and msg.content != "[empty message]":
+            for chunk in _split_message(msg.content):
+                try:
+                    html = _markdown_to_telegram_html(chunk)
+                    await self._app.bot.send_message(chat_id=chat_id, text=html, parse_mode="HTML")
                 except Exception as e:
-            # Fallback to plain text if HTML parsing fails
                     logger.warning(f"HTML parse failed, falling back to plain text: {e}")
                     try:
-                await self._app.bot.send_message(
+                        await self._app.bot.send_message(chat_id=chat_id, text=chunk)
-                    chat_id=int(msg.chat_id),
-                    text=msg.content
-                )
                     except Exception as e2:
                         logger.error(f"Error sending Telegram message: {e2}")
     
@@ -188,7 +262,24 @@ class TelegramChannel(BaseChannel):
         user = update.effective_user
         await update.message.reply_text(
             f"👋 Hi {user.first_name}! I'm nanobot.\n\n"
-            "Send me a message and I'll respond!"
+            "Send me a message and I'll respond!\n"
+            "Type /help to see available commands."
+        )
+    
+    @staticmethod
+    def _sender_id(user) -> str:
+        """Build sender_id with username for allowlist matching."""
+        sid = str(user.id)
+        return f"{sid}|{user.username}" if user.username else sid
+
+    async def _forward_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+        """Forward slash commands to the bus for unified handling in AgentLoop."""
+        if not update.message or not update.effective_user:
+            return
+        await self._handle_message(
+            sender_id=self._sender_id(update.effective_user),
+            chat_id=str(update.message.chat_id),
+            content=update.message.text,
         )
     
     async def _on_message(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
@@ -199,11 +290,7 @@ class TelegramChannel(BaseChannel):
         message = update.message
         user = update.effective_user
         chat_id = message.chat_id
-        
+        sender_id = self._sender_id(user)
-        # Use stable numeric ID, but keep username for allowlist compatibility
-        sender_id = str(user.id)
-        if user.username:
-            sender_id = f"{sender_id}|{user.username}"
         
         # Store chat_id for replies
         self._chat_ids[sender_id] = chat_id
@@ -273,10 +360,15 @@ class TelegramChannel(BaseChannel):
         
         logger.debug(f"Telegram message from {sender_id}: {content[:50]}...")
         
+        str_chat_id = str(chat_id)
+        
+        # Start typing indicator before processing
+        self._start_typing(str_chat_id)
+        
         # Forward to the message bus
         await self._handle_message(
             sender_id=sender_id,
-            chat_id=str(chat_id),
+            chat_id=str_chat_id,
             content=content,
             media=media_paths,
             metadata={
@@ -288,6 +380,33 @@ class TelegramChannel(BaseChannel):
             }
         )
     
+    def _start_typing(self, chat_id: str) -> None:
+        """Start sending 'typing...' indicator for a chat."""
+        # Cancel any existing typing task for this chat
+        self._stop_typing(chat_id)
+        self._typing_tasks[chat_id] = asyncio.create_task(self._typing_loop(chat_id))
+    
+    def _stop_typing(self, chat_id: str) -> None:
+        """Stop the typing indicator for a chat."""
+        task = self._typing_tasks.pop(chat_id, None)
+        if task and not task.done():
+            task.cancel()
+    
+    async def _typing_loop(self, chat_id: str) -> None:
+        """Repeatedly send 'typing' action until cancelled."""
+        try:
+            while self._app:
+                await self._app.bot.send_chat_action(chat_id=int(chat_id), action="typing")
+                await asyncio.sleep(4)
+        except asyncio.CancelledError:
+            pass
+        except Exception as e:
+            logger.debug(f"Typing indicator stopped for {chat_id}: {e}")
+    
+    async def _on_error(self, update: object, context: ContextTypes.DEFAULT_TYPE) -> None:
+        """Log polling / handler errors instead of silently swallowing them."""
+        logger.error(f"Telegram error: {context.error}")
+
     def _get_extension(self, media_type: str, mime_type: str | None) -> str:
         """Get file extension based on media type."""
         if mime_type:

nanobot/channels/whatsapp.py

@@ -42,6 +42,9 @@ class WhatsAppChannel(BaseChannel):
             try:
                 async with websockets.connect(bridge_url) as ws:
                     self._ws = ws
+                    # Send auth token if configured
+                    if self.config.bridge_token:
+                        await ws.send(json.dumps({"type": "auth", "token": self.config.bridge_token}))
                     self._connected = True
                     logger.info("Connected to WhatsApp bridge")
                     
@@ -100,21 +103,25 @@ class WhatsAppChannel(BaseChannel):
         
         if msg_type == "message":
             # Incoming message from WhatsApp
+            # Deprecated by whatsapp: old phone number style typically: <phone>@s.whatspp.net
+            pn = data.get("pn", "")
+            # New LID sytle typically: 
             sender = data.get("sender", "")
             content = data.get("content", "")
             
-            # sender is typically: <phone>@s.whatsapp.net
+            # Extract just the phone number or lid as chat_id
-            # Extract just the phone number as chat_id
+            user_id = pn if pn else sender
-            chat_id = sender.split("@")[0] if "@" in sender else sender
+            sender_id = user_id.split("@")[0] if "@" in user_id else user_id
+            logger.info(f"Sender {sender}")
             
             # Handle voice transcription if it's a voice message
             if content == "[Voice Message]":
-                logger.info(f"Voice message received from {chat_id}, but direct download from bridge is not yet supported.")
+                logger.info(f"Voice message received from {sender_id}, but direct download from bridge is not yet supported.")
                 content = "[Voice Message: Transcription not available for WhatsApp yet]"
             
             await self._handle_message(
-                sender_id=chat_id,
+                sender_id=sender_id,
-                chat_id=sender,  # Use full JID for replies
+                chat_id=sender,  # Use full LID for replies
                 content=content,
                 metadata={
                     "message_id": data.get("id"),

nanobot/cli/commands.py

@@ -1,13 +1,25 @@
 """CLI commands for nanobot."""
 
 import asyncio
+import os
+import signal
 from pathlib import Path
+import select
+import sys
 
 import typer
 from rich.console import Console
+from rich.markdown import Markdown
 from rich.table import Table
+from rich.text import Text
+
+from prompt_toolkit import PromptSession
+from prompt_toolkit.formatted_text import HTML
+from prompt_toolkit.history import FileHistory
+from prompt_toolkit.patch_stdout import patch_stdout
 
 from nanobot import __version__, __logo__
+from nanobot.config.schema import Config
 
 app = typer.Typer(
     name="nanobot",
@@ -16,6 +28,108 @@ app = typer.Typer(
 )
 
 console = Console()
+EXIT_COMMANDS = {"exit", "quit", "/exit", "/quit", ":q"}
+
+# ---------------------------------------------------------------------------
+# CLI input: prompt_toolkit for editing, paste, history, and display
+# ---------------------------------------------------------------------------
+
+_PROMPT_SESSION: PromptSession | None = None
+_SAVED_TERM_ATTRS = None  # original termios settings, restored on exit
+
+
+def _flush_pending_tty_input() -> None:
+    """Drop unread keypresses typed while the model was generating output."""
+    try:
+        fd = sys.stdin.fileno()
+        if not os.isatty(fd):
+            return
+    except Exception:
+        return
+
+    try:
+        import termios
+        termios.tcflush(fd, termios.TCIFLUSH)
+        return
+    except Exception:
+        pass
+
+    try:
+        while True:
+            ready, _, _ = select.select([fd], [], [], 0)
+            if not ready:
+                break
+            if not os.read(fd, 4096):
+                break
+    except Exception:
+        return
+
+
+def _restore_terminal() -> None:
+    """Restore terminal to its original state (echo, line buffering, etc.)."""
+    if _SAVED_TERM_ATTRS is None:
+        return
+    try:
+        import termios
+        termios.tcsetattr(sys.stdin.fileno(), termios.TCSADRAIN, _SAVED_TERM_ATTRS)
+    except Exception:
+        pass
+
+
+def _init_prompt_session() -> None:
+    """Create the prompt_toolkit session with persistent file history."""
+    global _PROMPT_SESSION, _SAVED_TERM_ATTRS
+
+    # Save terminal state so we can restore it on exit
+    try:
+        import termios
+        _SAVED_TERM_ATTRS = termios.tcgetattr(sys.stdin.fileno())
+    except Exception:
+        pass
+
+    history_file = Path.home() / ".nanobot" / "history" / "cli_history"
+    history_file.parent.mkdir(parents=True, exist_ok=True)
+
+    _PROMPT_SESSION = PromptSession(
+        history=FileHistory(str(history_file)),
+        enable_open_in_editor=False,
+        multiline=False,   # Enter submits (single line mode)
+    )
+
+
+def _print_agent_response(response: str, render_markdown: bool) -> None:
+    """Render assistant response with consistent terminal styling."""
+    content = response or ""
+    body = Markdown(content) if render_markdown else Text(content)
+    console.print()
+    console.print(f"[cyan]{__logo__} nanobot[/cyan]")
+    console.print(body)
+    console.print()
+
+
+def _is_exit_command(command: str) -> bool:
+    """Return True when input should end interactive chat."""
+    return command.lower() in EXIT_COMMANDS
+
+
+async def _read_interactive_input_async() -> str:
+    """Read user input using prompt_toolkit (handles paste, history, display).
+
+    prompt_toolkit natively handles:
+    - Multiline paste (bracketed paste mode)
+    - History navigation (up/down arrows)
+    - Clean display (no ghost characters or artifacts)
+    """
+    if _PROMPT_SESSION is None:
+        raise RuntimeError("Call _init_prompt_session() first")
+    try:
+        with patch_stdout():
+            return await _PROMPT_SESSION.prompt_async(
+                HTML("<b fg='ansiblue'>You:</b> "),
+            )
+    except EOFError as exc:
+        raise KeyboardInterrupt from exc
+
 
 
 def version_callback(value: bool):
@@ -42,7 +156,7 @@ def main(
 @app.command()
 def onboard():
     """Initialize nanobot configuration and workspace."""
-    from nanobot.config.loader import get_config_path, save_config
+    from nanobot.config.loader import get_config_path, load_config, save_config
     from nanobot.config.schema import Config
     from nanobot.utils.helpers import get_workspace_path
     
@@ -50,16 +164,25 @@ def onboard():
     
     if config_path.exists():
         console.print(f"[yellow]Config already exists at {config_path}[/yellow]")
-        if not typer.confirm("Overwrite?"):
+        console.print("  [bold]y[/bold] = overwrite with defaults (existing values will be lost)")
-            raise typer.Exit()
+        console.print("  [bold]N[/bold] = refresh config, keeping existing values and adding new fields")
-    
+        if typer.confirm("Overwrite?"):
-    # Create default config
             config = Config()
             save_config(config)
+            console.print(f"[green]✓[/green] Config reset to defaults at {config_path}")
+        else:
+            config = load_config()
+            save_config(config)
+            console.print(f"[green]✓[/green] Config refreshed at {config_path} (existing values preserved)")
+    else:
+        save_config(Config())
         console.print(f"[green]✓[/green] Created config at {config_path}")
     
     # Create workspace
     workspace = get_workspace_path()
+    
+    if not workspace.exists():
+        workspace.mkdir(parents=True, exist_ok=True)
         console.print(f"[green]✓[/green] Created workspace at {workspace}")
     
     # Create default bootstrap files
@@ -87,7 +210,7 @@ You are a helpful AI assistant. Be concise, accurate, and friendly.
 - Always explain what you're doing before taking actions
 - Ask for clarification when the request is ambiguous
 - Use tools to help accomplish tasks
-- Remember important information in your memory files
+- Remember important information in memory/MEMORY.md; past events are logged in memory/HISTORY.md
 """,
         "SOUL.md": """# Soul
 
@@ -146,6 +269,53 @@ This file stores important information that should persist across sessions.
 """)
         console.print("  [dim]Created memory/MEMORY.md[/dim]")
     
+    history_file = memory_dir / "HISTORY.md"
+    if not history_file.exists():
+        history_file.write_text("")
+        console.print("  [dim]Created memory/HISTORY.md[/dim]")
+
+    # Create skills directory for custom user skills
+    skills_dir = workspace / "skills"
+    skills_dir.mkdir(exist_ok=True)
+
+
+def _make_provider(config: Config):
+    """Create the appropriate LLM provider from config."""
+    from nanobot.providers.litellm_provider import LiteLLMProvider
+    from nanobot.providers.openai_codex_provider import OpenAICodexProvider
+    from nanobot.providers.custom_provider import CustomProvider
+
+    model = config.agents.defaults.model
+    provider_name = config.get_provider_name(model)
+    p = config.get_provider(model)
+
+    # OpenAI Codex (OAuth)
+    if provider_name == "openai_codex" or model.startswith("openai-codex/"):
+        return OpenAICodexProvider(default_model=model)
+
+    # Custom: direct OpenAI-compatible endpoint, bypasses LiteLLM
+    if provider_name == "custom":
+        return CustomProvider(
+            api_key=p.api_key if p else "no-key",
+            api_base=config.get_api_base(model) or "http://localhost:8000/v1",
+            default_model=model,
+        )
+
+    from nanobot.providers.registry import find_by_name
+    spec = find_by_name(provider_name)
+    if not model.startswith("bedrock/") and not (p and p.api_key) and not (spec and spec.is_oauth):
+        console.print("[red]Error: No API key configured.[/red]")
+        console.print("Set one in ~/.nanobot/config.json under providers section")
+        raise typer.Exit(1)
+
+    return LiteLLMProvider(
+        api_key=p.api_key if p else None,
+        api_base=config.get_api_base(model),
+        default_model=model,
+        extra_headers=p.extra_headers if p else None,
+        provider_name=provider_name,
+    )
+
 
 # ============================================================================
 # Gateway / Server
@@ -160,9 +330,9 @@ def gateway(
     """Start the nanobot gateway."""
     from nanobot.config.loader import load_config, get_data_dir
     from nanobot.bus.queue import MessageBus
-    from nanobot.providers.litellm_provider import LiteLLMProvider
     from nanobot.agent.loop import AgentLoop
     from nanobot.channels.manager import ChannelManager
+    from nanobot.session.manager import SessionManager
     from nanobot.cron.service import CronService
     from nanobot.cron.types import CronJob
     from nanobot.heartbeat.service import HeartbeatService
@@ -174,57 +344,50 @@ def gateway(
     console.print(f"{__logo__} Starting nanobot gateway on port {port}...")
     
     config = load_config()
-    
-    # Create components
     bus = MessageBus()
+    provider = _make_provider(config)
+    session_manager = SessionManager(config.workspace_path)
     
-    # Create provider (supports OpenRouter, Anthropic, OpenAI, Bedrock)
+    # Create cron service first (callback set after agent creation)
-    api_key = config.get_api_key()
+    cron_store_path = get_data_dir() / "cron" / "jobs.json"
-    api_base = config.get_api_base()
+    cron = CronService(cron_store_path)
-    model = config.agents.defaults.model
-    is_bedrock = model.startswith("bedrock/")
     
-    if not api_key and not is_bedrock:
+    # Create agent with cron service
-        console.print("[red]Error: No API key configured.[/red]")
-        console.print("Set one in ~/.nanobot/config.json under providers.openrouter.apiKey")
-        raise typer.Exit(1)
-    
-    provider = LiteLLMProvider(
-        api_key=api_key,
-        api_base=api_base,
-        default_model=config.agents.defaults.model
-    )
-    
-    # Create agent
     agent = AgentLoop(
         bus=bus,
         provider=provider,
         workspace=config.workspace_path,
         model=config.agents.defaults.model,
+        temperature=config.agents.defaults.temperature,
+        max_tokens=config.agents.defaults.max_tokens,
         max_iterations=config.agents.defaults.max_tool_iterations,
+        memory_window=config.agents.defaults.memory_window,
         brave_api_key=config.tools.web.search.api_key or None,
         exec_config=config.tools.exec,
+        cron_service=cron,
+        restrict_to_workspace=config.tools.restrict_to_workspace,
+        session_manager=session_manager,
+        mcp_servers=config.tools.mcp_servers,
     )
     
-    # Create cron service
+    # Set cron callback (needs agent)
     async def on_cron_job(job: CronJob) -> str | None:
         """Execute a cron job through the agent."""
         response = await agent.process_direct(
             job.payload.message,
-            session_key=f"cron:{job.id}"
+            session_key=f"cron:{job.id}",
+            channel=job.payload.channel or "cli",
+            chat_id=job.payload.to or "direct",
         )
-        # Optionally deliver to channel
         if job.payload.deliver and job.payload.to:
             from nanobot.bus.events import OutboundMessage
             await bus.publish_outbound(OutboundMessage(
-                channel=job.payload.channel or "whatsapp",
+                channel=job.payload.channel or "cli",
                 chat_id=job.payload.to,
                 content=response or ""
             ))
         return response
-    
+    cron.on_job = on_cron_job
-    cron_store_path = get_data_dir() / "cron" / "jobs.json"
-    cron = CronService(cron_store_path, on_job=on_cron_job)
     
     # Create heartbeat service
     async def on_heartbeat(prompt: str) -> str:
@@ -262,6 +425,8 @@ def gateway(
             )
         except KeyboardInterrupt:
             console.print("\nShutting down...")
+        finally:
+            await agent.close_mcp()
             heartbeat.stop()
             cron.stop()
             agent.stop()
@@ -280,64 +445,108 @@ def gateway(
 @app.command()
 def agent(
     message: str = typer.Option(None, "--message", "-m", help="Message to send to the agent"),
-    session_id: str = typer.Option("cli:default", "--session", "-s", help="Session ID"),
+    session_id: str = typer.Option("cli:direct", "--session", "-s", help="Session ID"),
+    markdown: bool = typer.Option(True, "--markdown/--no-markdown", help="Render assistant output as Markdown"),
+    logs: bool = typer.Option(False, "--logs/--no-logs", help="Show nanobot runtime logs during chat"),
 ):
     """Interact with the agent directly."""
-    from nanobot.config.loader import load_config
+    from nanobot.config.loader import load_config, get_data_dir
     from nanobot.bus.queue import MessageBus
-    from nanobot.providers.litellm_provider import LiteLLMProvider
     from nanobot.agent.loop import AgentLoop
+    from nanobot.cron.service import CronService
+    from loguru import logger
     
     config = load_config()
     
-    api_key = config.get_api_key()
-    api_base = config.get_api_base()
-    model = config.agents.defaults.model
-    is_bedrock = model.startswith("bedrock/")
-
-    if not api_key and not is_bedrock:
-        console.print("[red]Error: No API key configured.[/red]")
-        raise typer.Exit(1)
-
     bus = MessageBus()
-    provider = LiteLLMProvider(
+    provider = _make_provider(config)
-        api_key=api_key,
+
-        api_base=api_base,
+    # Create cron service for tool usage (no callback needed for CLI unless running)
-        default_model=config.agents.defaults.model
+    cron_store_path = get_data_dir() / "cron" / "jobs.json"
-    )
+    cron = CronService(cron_store_path)
+
+    if logs:
+        logger.enable("nanobot")
+    else:
+        logger.disable("nanobot")
     
     agent_loop = AgentLoop(
         bus=bus,
         provider=provider,
         workspace=config.workspace_path,
+        model=config.agents.defaults.model,
+        temperature=config.agents.defaults.temperature,
+        max_tokens=config.agents.defaults.max_tokens,
+        max_iterations=config.agents.defaults.max_tool_iterations,
+        memory_window=config.agents.defaults.memory_window,
         brave_api_key=config.tools.web.search.api_key or None,
         exec_config=config.tools.exec,
+        cron_service=cron,
+        restrict_to_workspace=config.tools.restrict_to_workspace,
+        mcp_servers=config.tools.mcp_servers,
     )
     
+    # Show spinner when logs are off (no output to miss); skip when logs are on
+    def _thinking_ctx():
+        if logs:
+            from contextlib import nullcontext
+            return nullcontext()
+        # Animated spinner is safe to use with prompt_toolkit input handling
+        return console.status("[dim]nanobot is thinking...[/dim]", spinner="dots")
+
+    async def _cli_progress(content: str) -> None:
+        console.print(f"  [dim]↳ {content}[/dim]")
+
     if message:
         # Single message mode
         async def run_once():
-            response = await agent_loop.process_direct(message, session_id)
+            with _thinking_ctx():
-            console.print(f"\n{__logo__} {response}")
+                response = await agent_loop.process_direct(message, session_id, on_progress=_cli_progress)
+            _print_agent_response(response, render_markdown=markdown)
+            await agent_loop.close_mcp()
         
         asyncio.run(run_once())
     else:
         # Interactive mode
-        console.print(f"{__logo__} Interactive mode (Ctrl+C to exit)\n")
+        _init_prompt_session()
+        console.print(f"{__logo__} Interactive mode (type [bold]exit[/bold] or [bold]Ctrl+C[/bold] to quit)\n")
+
+        def _exit_on_sigint(signum, frame):
+            _restore_terminal()
+            console.print("\nGoodbye!")
+            os._exit(0)
+
+        signal.signal(signal.SIGINT, _exit_on_sigint)
         
         async def run_interactive():
+            try:
                 while True:
                     try:
-                    user_input = console.input("[bold blue]You:[/bold blue] ")
+                        _flush_pending_tty_input()
-                    if not user_input.strip():
+                        user_input = await _read_interactive_input_async()
+                        command = user_input.strip()
+                        if not command:
                             continue
 
-                    response = await agent_loop.process_direct(user_input, session_id)
+                        if _is_exit_command(command):
-                    console.print(f"\n{__logo__} {response}\n")
+                            _restore_terminal()
-                except KeyboardInterrupt:
                             console.print("\nGoodbye!")
                             break
                         
+                        with _thinking_ctx():
+                            response = await agent_loop.process_direct(user_input, session_id, on_progress=_cli_progress)
+                        _print_agent_response(response, render_markdown=markdown)
+                    except KeyboardInterrupt:
+                        _restore_terminal()
+                        console.print("\nGoodbye!")
+                        break
+                    except EOFError:
+                        _restore_terminal()
+                        console.print("\nGoodbye!")
+                        break
+            finally:
+                await agent_loop.close_mcp()
+        
         asyncio.run(run_interactive())
 
 
@@ -370,6 +579,31 @@ def channels_status():
         wa.bridge_url
     )
 
+    dc = config.channels.discord
+    table.add_row(
+        "Discord",
+        "✓" if dc.enabled else "✗",
+        dc.gateway_url
+    )
+
+    # Feishu
+    fs = config.channels.feishu
+    fs_config = f"app_id: {fs.app_id[:10]}..." if fs.app_id else "[dim]not configured[/dim]"
+    table.add_row(
+        "Feishu",
+        "✓" if fs.enabled else "✗",
+        fs_config
+    )
+
+    # Mochat
+    mc = config.channels.mochat
+    mc_base = mc.base_url or "[dim]not configured[/dim]"
+    table.add_row(
+        "Mochat",
+        "✓" if mc.enabled else "✗",
+        mc_base
+    )
+    
     # Telegram
     tg = config.channels.telegram
     tg_config = f"token: {tg.token[:10]}..." if tg.token else "[dim]not configured[/dim]"
@@ -379,6 +613,15 @@ def channels_status():
         tg_config
     )
 
+    # Slack
+    slack = config.channels.slack
+    slack_config = "socket" if slack.app_token and slack.bot_token else "[dim]not configured[/dim]"
+    table.add_row(
+        "Slack",
+        "✓" if slack.enabled else "✗",
+        slack_config
+    )
+
     console.print(table)
 
 
@@ -444,14 +687,20 @@ def _get_bridge_dir() -> Path:
 def channels_login():
     """Link device via QR code."""
     import subprocess
+    from nanobot.config.loader import load_config
     
+    config = load_config()
     bridge_dir = _get_bridge_dir()
     
     console.print(f"{__logo__} Starting bridge...")
     console.print("Scan the QR code to connect.\n")
     
+    env = {**os.environ}
+    if config.channels.whatsapp.bridge_token:
+        env["BRIDGE_TOKEN"] = config.channels.whatsapp.bridge_token
+    
     try:
-        subprocess.run(["npm", "start"], cwd=bridge_dir, check=True)
+        subprocess.run(["npm", "start"], cwd=bridge_dir, check=True, env=env)
     except subprocess.CalledProcessError as e:
         console.print(f"[red]Bridge failed: {e}[/red]")
     except FileNotFoundError:
@@ -491,20 +740,26 @@ def cron_list(
     table.add_column("Next Run")
     
     import time
+    from datetime import datetime as _dt
+    from zoneinfo import ZoneInfo
     for job in jobs:
         # Format schedule
         if job.schedule.kind == "every":
             sched = f"every {(job.schedule.every_ms or 0) // 1000}s"
         elif job.schedule.kind == "cron":
-            sched = job.schedule.expr or ""
+            sched = f"{job.schedule.expr or ''} ({job.schedule.tz})" if job.schedule.tz else (job.schedule.expr or "")
         else:
             sched = "one-time"
         
         # Format next run
         next_run = ""
         if job.state.next_run_at_ms:
-            next_time = time.strftime("%Y-%m-%d %H:%M", time.localtime(job.state.next_run_at_ms / 1000))
+            ts = job.state.next_run_at_ms / 1000
-            next_run = next_time
+            try:
+                tz = ZoneInfo(job.schedule.tz) if job.schedule.tz else None
+                next_run = _dt.fromtimestamp(ts, tz).strftime("%Y-%m-%d %H:%M")
+            except Exception:
+                next_run = time.strftime("%Y-%m-%d %H:%M", time.localtime(ts))
         
         status = "[green]enabled[/green]" if job.enabled else "[dim]disabled[/dim]"
         
@@ -519,6 +774,7 @@ def cron_add(
     message: str = typer.Option(..., "--message", "-m", help="Message for agent"),
     every: int = typer.Option(None, "--every", "-e", help="Run every N seconds"),
     cron_expr: str = typer.Option(None, "--cron", "-c", help="Cron expression (e.g. '0 9 * * *')"),
+    tz: str | None = typer.Option(None, "--tz", help="IANA timezone for cron (e.g. 'America/Vancouver')"),
     at: str = typer.Option(None, "--at", help="Run once at time (ISO format)"),
     deliver: bool = typer.Option(False, "--deliver", "-d", help="Deliver response to channel"),
     to: str = typer.Option(None, "--to", help="Recipient for delivery"),
@@ -529,11 +785,15 @@ def cron_add(
     from nanobot.cron.service import CronService
     from nanobot.cron.types import CronSchedule
     
+    if tz and not cron_expr:
+        console.print("[red]Error: --tz can only be used with --cron[/red]")
+        raise typer.Exit(1)
+
     # Determine schedule type
     if every:
         schedule = CronSchedule(kind="every", every_ms=every * 1000)
     elif cron_expr:
-        schedule = CronSchedule(kind="cron", expr=cron_expr)
+        schedule = CronSchedule(kind="cron", expr=cron_expr, tz=tz)
     elif at:
         import datetime
         dt = datetime.datetime.fromisoformat(at)
@@ -635,21 +895,109 @@ def status():
     console.print(f"Workspace: {workspace} {'[green]✓[/green]' if workspace.exists() else '[red]✗[/red]'}")
 
     if config_path.exists():
+        from nanobot.providers.registry import PROVIDERS
+
         console.print(f"Model: {config.agents.defaults.model}")
         
-        # Check API keys
+        # Check API keys from registry
-        has_openrouter = bool(config.providers.openrouter.api_key)
+        for spec in PROVIDERS:
-        has_anthropic = bool(config.providers.anthropic.api_key)
+            p = getattr(config.providers, spec.name, None)
-        has_openai = bool(config.providers.openai.api_key)
+            if p is None:
-        has_gemini = bool(config.providers.gemini.api_key)
+                continue
-        has_vllm = bool(config.providers.vllm.api_base)
+            if spec.is_oauth:
+                console.print(f"{spec.label}: [green]✓ (OAuth)[/green]")
+            elif spec.is_local:
+                # Local deployments show api_base instead of api_key
+                if p.api_base:
+                    console.print(f"{spec.label}: [green]✓ {p.api_base}[/green]")
+                else:
+                    console.print(f"{spec.label}: [dim]not set[/dim]")
+            else:
+                has_key = bool(p.api_key)
+                console.print(f"{spec.label}: {'[green]✓[/green]' if has_key else '[dim]not set[/dim]'}")
 
-        console.print(f"OpenRouter API: {'[green]✓[/green]' if has_openrouter else '[dim]not set[/dim]'}")
+
-        console.print(f"Anthropic API: {'[green]✓[/green]' if has_anthropic else '[dim]not set[/dim]'}")
+# ============================================================================
-        console.print(f"OpenAI API: {'[green]✓[/green]' if has_openai else '[dim]not set[/dim]'}")
+# OAuth Login
-        console.print(f"Gemini API: {'[green]✓[/green]' if has_gemini else '[dim]not set[/dim]'}")
+# ============================================================================
-        vllm_status = f"[green]✓ {config.providers.vllm.api_base}[/green]" if has_vllm else "[dim]not set[/dim]"
+
-        console.print(f"vLLM/Local: {vllm_status}")
+provider_app = typer.Typer(help="Manage providers")
+app.add_typer(provider_app, name="provider")
+
+
+_LOGIN_HANDLERS: dict[str, callable] = {}
+
+
+def _register_login(name: str):
+    def decorator(fn):
+        _LOGIN_HANDLERS[name] = fn
+        return fn
+    return decorator
+
+
+@provider_app.command("login")
+def provider_login(
+    provider: str = typer.Argument(..., help="OAuth provider (e.g. 'openai-codex', 'github-copilot')"),
+):
+    """Authenticate with an OAuth provider."""
+    from nanobot.providers.registry import PROVIDERS
+
+    key = provider.replace("-", "_")
+    spec = next((s for s in PROVIDERS if s.name == key and s.is_oauth), None)
+    if not spec:
+        names = ", ".join(s.name.replace("_", "-") for s in PROVIDERS if s.is_oauth)
+        console.print(f"[red]Unknown OAuth provider: {provider}[/red]  Supported: {names}")
+        raise typer.Exit(1)
+
+    handler = _LOGIN_HANDLERS.get(spec.name)
+    if not handler:
+        console.print(f"[red]Login not implemented for {spec.label}[/red]")
+        raise typer.Exit(1)
+
+    console.print(f"{__logo__} OAuth Login - {spec.label}\n")
+    handler()
+
+
+@_register_login("openai_codex")
+def _login_openai_codex() -> None:
+    try:
+        from oauth_cli_kit import get_token, login_oauth_interactive
+        token = None
+        try:
+            token = get_token()
+        except Exception:
+            pass
+        if not (token and token.access):
+            console.print("[cyan]Starting interactive OAuth login...[/cyan]\n")
+            token = login_oauth_interactive(
+                print_fn=lambda s: console.print(s),
+                prompt_fn=lambda s: typer.prompt(s),
+            )
+        if not (token and token.access):
+            console.print("[red]✗ Authentication failed[/red]")
+            raise typer.Exit(1)
+        console.print(f"[green]✓ Authenticated with OpenAI Codex[/green]  [dim]{token.account_id}[/dim]")
+    except ImportError:
+        console.print("[red]oauth_cli_kit not installed. Run: pip install oauth-cli-kit[/red]")
+        raise typer.Exit(1)
+
+
+@_register_login("github_copilot")
+def _login_github_copilot() -> None:
+    import asyncio
+
+    console.print("[cyan]Starting GitHub Copilot device flow...[/cyan]\n")
+
+    async def _trigger():
+        from litellm import acompletion
+        await acompletion(model="github_copilot/gpt-4o", messages=[{"role": "user", "content": "hi"}], max_tokens=1)
+
+    try:
+        asyncio.run(_trigger())
+        console.print("[green]✓ Authenticated with GitHub Copilot[/green]")
+    except Exception as e:
+        console.print(f"[red]Authentication error: {e}[/red]")
+        raise typer.Exit(1)
 
 
 if __name__ == "__main__":

nanobot/config/loader.py

@@ -2,7 +2,6 @@
 
 import json
 from pathlib import Path
-from typing import Any
 
 from nanobot.config.schema import Config
 
@@ -34,7 +33,8 @@ def load_config(config_path: Path | None = None) -> Config:
         try:
             with open(path) as f:
                 data = json.load(f)
-            return Config.model_validate(convert_keys(data))
+            data = _migrate_config(data)
+            return Config.model_validate(data)
         except (json.JSONDecodeError, ValueError) as e:
             print(f"Warning: Failed to load config from {path}: {e}")
             print("Using default configuration.")
@@ -53,43 +53,17 @@ def save_config(config: Config, config_path: Path | None = None) -> None:
     path = config_path or get_config_path()
     path.parent.mkdir(parents=True, exist_ok=True)
 
-    # Convert to camelCase format
+    data = config.model_dump(by_alias=True)
-    data = config.model_dump()
-    data = convert_to_camel(data)
 
     with open(path, "w") as f:
         json.dump(data, f, indent=2)
 
 
-def convert_keys(data: Any) -> Any:
+def _migrate_config(data: dict) -> dict:
-    """Convert camelCase keys to snake_case for Pydantic."""
+    """Migrate old config formats to current."""
-    if isinstance(data, dict):
+    # Move tools.exec.restrictToWorkspace → tools.restrictToWorkspace
-        return {camel_to_snake(k): convert_keys(v) for k, v in data.items()}
+    tools = data.get("tools", {})
-    if isinstance(data, list):
+    exec_cfg = tools.get("exec", {})
-        return [convert_keys(item) for item in data]
+    if "restrictToWorkspace" in exec_cfg and "restrictToWorkspace" not in tools:
+        tools["restrictToWorkspace"] = exec_cfg.pop("restrictToWorkspace")
     return data
-
-
-def convert_to_camel(data: Any) -> Any:
-    """Convert snake_case keys to camelCase."""
-    if isinstance(data, dict):
-        return {snake_to_camel(k): convert_to_camel(v) for k, v in data.items()}
-    if isinstance(data, list):
-        return [convert_to_camel(item) for item in data]
-    return data
-
-
-def camel_to_snake(name: str) -> str:
-    """Convert camelCase to snake_case."""
-    result = []
-    for i, char in enumerate(name):
-        if char.isupper() and i > 0:
-            result.append("_")
-        result.append(char.lower())
-    return "".join(result)
-
-
-def snake_to_camel(name: str) -> str:
-    """Convert snake_case to camelCase."""
-    components = name.split("_")
-    return components[0] + "".join(x.title() for x in components[1:])

nanobot/config/schema.py

@@ -1,92 +1,276 @@
 """Configuration schema using Pydantic."""
 
 from pathlib import Path
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, ConfigDict
+from pydantic.alias_generators import to_camel
 from pydantic_settings import BaseSettings
 
 
-class WhatsAppConfig(BaseModel):
+class Base(BaseModel):
+    """Base model that accepts both camelCase and snake_case keys."""
+
+    model_config = ConfigDict(alias_generator=to_camel, populate_by_name=True)
+
+
+class WhatsAppConfig(Base):
     """WhatsApp channel configuration."""
+
     enabled: bool = False
     bridge_url: str = "ws://localhost:3001"
+    bridge_token: str = ""  # Shared token for bridge auth (optional, recommended)
     allow_from: list[str] = Field(default_factory=list)  # Allowed phone numbers
 
 
-class TelegramConfig(BaseModel):
+class TelegramConfig(Base):
     """Telegram channel configuration."""
+
     enabled: bool = False
     token: str = ""  # Bot token from @BotFather
     allow_from: list[str] = Field(default_factory=list)  # Allowed user IDs or usernames
+    proxy: str | None = None  # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
 
 
-class ChannelsConfig(BaseModel):
+class FeishuConfig(Base):
+    """Feishu/Lark channel configuration using WebSocket long connection."""
+
+    enabled: bool = False
+    app_id: str = ""  # App ID from Feishu Open Platform
+    app_secret: str = ""  # App Secret from Feishu Open Platform
+    encrypt_key: str = ""  # Encrypt Key for event subscription (optional)
+    verification_token: str = ""  # Verification Token for event subscription (optional)
+    allow_from: list[str] = Field(default_factory=list)  # Allowed user open_ids
+
+
+class DingTalkConfig(Base):
+    """DingTalk channel configuration using Stream mode."""
+
+    enabled: bool = False
+    client_id: str = ""  # AppKey
+    client_secret: str = ""  # AppSecret
+    allow_from: list[str] = Field(default_factory=list)  # Allowed staff_ids
+
+
+class DiscordConfig(Base):
+    """Discord channel configuration."""
+
+    enabled: bool = False
+    token: str = ""  # Bot token from Discord Developer Portal
+    allow_from: list[str] = Field(default_factory=list)  # Allowed user IDs
+    gateway_url: str = "wss://gateway.discord.gg/?v=10&encoding=json"
+    intents: int = 37377  # GUILDS + GUILD_MESSAGES + DIRECT_MESSAGES + MESSAGE_CONTENT
+
+
+class EmailConfig(Base):
+    """Email channel configuration (IMAP inbound + SMTP outbound)."""
+
+    enabled: bool = False
+    consent_granted: bool = False  # Explicit owner permission to access mailbox data
+
+    # IMAP (receive)
+    imap_host: str = ""
+    imap_port: int = 993
+    imap_username: str = ""
+    imap_password: str = ""
+    imap_mailbox: str = "INBOX"
+    imap_use_ssl: bool = True
+
+    # SMTP (send)
+    smtp_host: str = ""
+    smtp_port: int = 587
+    smtp_username: str = ""
+    smtp_password: str = ""
+    smtp_use_tls: bool = True
+    smtp_use_ssl: bool = False
+    from_address: str = ""
+
+    # Behavior
+    auto_reply_enabled: bool = True  # If false, inbound email is read but no automatic reply is sent
+    poll_interval_seconds: int = 30
+    mark_seen: bool = True
+    max_body_chars: int = 12000
+    subject_prefix: str = "Re: "
+    allow_from: list[str] = Field(default_factory=list)  # Allowed sender email addresses
+
+
+class MochatMentionConfig(Base):
+    """Mochat mention behavior configuration."""
+
+    require_in_groups: bool = False
+
+
+class MochatGroupRule(Base):
+    """Mochat per-group mention requirement."""
+
+    require_mention: bool = False
+
+
+class MochatConfig(Base):
+    """Mochat channel configuration."""
+
+    enabled: bool = False
+    base_url: str = "https://mochat.io"
+    socket_url: str = ""
+    socket_path: str = "/socket.io"
+    socket_disable_msgpack: bool = False
+    socket_reconnect_delay_ms: int = 1000
+    socket_max_reconnect_delay_ms: int = 10000
+    socket_connect_timeout_ms: int = 10000
+    refresh_interval_ms: int = 30000
+    watch_timeout_ms: int = 25000
+    watch_limit: int = 100
+    retry_delay_ms: int = 500
+    max_retry_attempts: int = 0  # 0 means unlimited retries
+    claw_token: str = ""
+    agent_user_id: str = ""
+    sessions: list[str] = Field(default_factory=list)
+    panels: list[str] = Field(default_factory=list)
+    allow_from: list[str] = Field(default_factory=list)
+    mention: MochatMentionConfig = Field(default_factory=MochatMentionConfig)
+    groups: dict[str, MochatGroupRule] = Field(default_factory=dict)
+    reply_delay_mode: str = "non-mention"  # off | non-mention
+    reply_delay_ms: int = 120000
+
+
+class SlackDMConfig(Base):
+    """Slack DM policy configuration."""
+
+    enabled: bool = True
+    policy: str = "open"  # "open" or "allowlist"
+    allow_from: list[str] = Field(default_factory=list)  # Allowed Slack user IDs
+
+
+class SlackConfig(Base):
+    """Slack channel configuration."""
+
+    enabled: bool = False
+    mode: str = "socket"  # "socket" supported
+    webhook_path: str = "/slack/events"
+    bot_token: str = ""  # xoxb-...
+    app_token: str = ""  # xapp-...
+    user_token_read_only: bool = True
+    reply_in_thread: bool = True
+    react_emoji: str = "eyes"
+    group_policy: str = "mention"  # "mention", "open", "allowlist"
+    group_allow_from: list[str] = Field(default_factory=list)  # Allowed channel IDs if allowlist
+    dm: SlackDMConfig = Field(default_factory=SlackDMConfig)
+
+
+class QQConfig(Base):
+    """QQ channel configuration using botpy SDK."""
+
+    enabled: bool = False
+    app_id: str = ""  # 机器人 ID (AppID) from q.qq.com
+    secret: str = ""  # 机器人密钥 (AppSecret) from q.qq.com
+    allow_from: list[str] = Field(default_factory=list)  # Allowed user openids (empty = public access)
+
+
+class ChannelsConfig(Base):
     """Configuration for chat channels."""
+
     whatsapp: WhatsAppConfig = Field(default_factory=WhatsAppConfig)
     telegram: TelegramConfig = Field(default_factory=TelegramConfig)
+    discord: DiscordConfig = Field(default_factory=DiscordConfig)
+    feishu: FeishuConfig = Field(default_factory=FeishuConfig)
+    mochat: MochatConfig = Field(default_factory=MochatConfig)
+    dingtalk: DingTalkConfig = Field(default_factory=DingTalkConfig)
+    email: EmailConfig = Field(default_factory=EmailConfig)
+    slack: SlackConfig = Field(default_factory=SlackConfig)
+    qq: QQConfig = Field(default_factory=QQConfig)
 
 
-class AgentDefaults(BaseModel):
+class AgentDefaults(Base):
     """Default agent configuration."""
+
     workspace: str = "~/.nanobot/workspace"
     model: str = "anthropic/claude-opus-4-5"
     max_tokens: int = 8192
     temperature: float = 0.7
     max_tool_iterations: int = 20
+    memory_window: int = 50
 
 
-class AgentsConfig(BaseModel):
+class AgentsConfig(Base):
     """Agent configuration."""
+
     defaults: AgentDefaults = Field(default_factory=AgentDefaults)
 
 
-class ProviderConfig(BaseModel):
+class ProviderConfig(Base):
     """LLM provider configuration."""
+
     api_key: str = ""
     api_base: str | None = None
+    extra_headers: dict[str, str] | None = None  # Custom headers (e.g. APP-Code for AiHubMix)
 
 
-class ProvidersConfig(BaseModel):
+class ProvidersConfig(Base):
     """Configuration for LLM providers."""
+
+    custom: ProviderConfig = Field(default_factory=ProviderConfig)  # Any OpenAI-compatible endpoint
     anthropic: ProviderConfig = Field(default_factory=ProviderConfig)
     openai: ProviderConfig = Field(default_factory=ProviderConfig)
     openrouter: ProviderConfig = Field(default_factory=ProviderConfig)
+    deepseek: ProviderConfig = Field(default_factory=ProviderConfig)
     groq: ProviderConfig = Field(default_factory=ProviderConfig)
     zhipu: ProviderConfig = Field(default_factory=ProviderConfig)
+    dashscope: ProviderConfig = Field(default_factory=ProviderConfig)  # 阿里云通义千问
     vllm: ProviderConfig = Field(default_factory=ProviderConfig)
     gemini: ProviderConfig = Field(default_factory=ProviderConfig)
+    moonshot: ProviderConfig = Field(default_factory=ProviderConfig)
+    minimax: ProviderConfig = Field(default_factory=ProviderConfig)
+    aihubmix: ProviderConfig = Field(default_factory=ProviderConfig)  # AiHubMix API gateway
+    siliconflow: ProviderConfig = Field(default_factory=ProviderConfig)  # SiliconFlow (硅基流动) API gateway
+    openai_codex: ProviderConfig = Field(default_factory=ProviderConfig)  # OpenAI Codex (OAuth)
+    github_copilot: ProviderConfig = Field(default_factory=ProviderConfig)  # Github Copilot (OAuth)
 
 
-class GatewayConfig(BaseModel):
+class GatewayConfig(Base):
     """Gateway/server configuration."""
+
     host: str = "0.0.0.0"
     port: int = 18790
 
 
-class WebSearchConfig(BaseModel):
+class WebSearchConfig(Base):
     """Web search tool configuration."""
+
     api_key: str = ""  # Brave Search API key
     max_results: int = 5
 
 
-class WebToolsConfig(BaseModel):
+class WebToolsConfig(Base):
     """Web tools configuration."""
+
     search: WebSearchConfig = Field(default_factory=WebSearchConfig)
 
 
-class ExecToolConfig(BaseModel):
+class ExecToolConfig(Base):
     """Shell exec tool configuration."""
+
     timeout: int = 60
-    restrict_to_workspace: bool = False  # If true, block commands accessing paths outside workspace
 
 
-class ToolsConfig(BaseModel):
+class MCPServerConfig(Base):
+    """MCP server connection configuration (stdio or HTTP)."""
+
+    command: str = ""  # Stdio: command to run (e.g. "npx")
+    args: list[str] = Field(default_factory=list)  # Stdio: command arguments
+    env: dict[str, str] = Field(default_factory=dict)  # Stdio: extra env vars
+    url: str = ""  # HTTP: streamable HTTP endpoint URL
+
+
+class ToolsConfig(Base):
     """Tools configuration."""
+
     web: WebToolsConfig = Field(default_factory=WebToolsConfig)
     exec: ExecToolConfig = Field(default_factory=ExecToolConfig)
+    restrict_to_workspace: bool = False  # If true, restrict all tool access to workspace directory
+    mcp_servers: dict[str, MCPServerConfig] = Field(default_factory=dict)
 
 
 class Config(BaseSettings):
     """Root configuration for nanobot."""
+
     agents: AgentsConfig = Field(default_factory=AgentsConfig)
     channels: ChannelsConfig = Field(default_factory=ChannelsConfig)
     providers: ProvidersConfig = Field(default_factory=ProvidersConfig)
@@ -98,29 +282,58 @@ class Config(BaseSettings):
         """Get expanded workspace path."""
         return Path(self.agents.defaults.workspace).expanduser()
 
-    def get_api_key(self) -> str | None:
+    def _match_provider(self, model: str | None = None) -> tuple["ProviderConfig | None", str | None]:
-        """Get API key in priority order: OpenRouter > Anthropic > OpenAI > Gemini > Zhipu > Groq > vLLM."""
+        """Match provider config and its registry name. Returns (config, spec_name)."""
-        return (
+        from nanobot.providers.registry import PROVIDERS
-            self.providers.openrouter.api_key or
-            self.providers.anthropic.api_key or
-            self.providers.openai.api_key or
-            self.providers.gemini.api_key or
-            self.providers.zhipu.api_key or
-            self.providers.groq.api_key or
-            self.providers.vllm.api_key or
-            None
-        )
 
-    def get_api_base(self) -> str | None:
+        model_lower = (model or self.agents.defaults.model).lower()
-        """Get API base URL if using OpenRouter, Zhipu or vLLM."""
+
-        if self.providers.openrouter.api_key:
+        # Match by keyword (order follows PROVIDERS registry)
-            return self.providers.openrouter.api_base or "https://openrouter.ai/api/v1"
+        for spec in PROVIDERS:
-        if self.providers.zhipu.api_key:
+            p = getattr(self.providers, spec.name, None)
-            return self.providers.zhipu.api_base
+            if p and any(kw in model_lower for kw in spec.keywords):
-        if self.providers.vllm.api_base:
+                if spec.is_oauth or p.api_key:
-            return self.providers.vllm.api_base
+                    return p, spec.name
+
+        # Fallback: gateways first, then others (follows registry order)
+        # OAuth providers are NOT valid fallbacks — they require explicit model selection
+        for spec in PROVIDERS:
+            if spec.is_oauth:
+                continue
+            p = getattr(self.providers, spec.name, None)
+            if p and p.api_key:
+                return p, spec.name
+        return None, None
+
+    def get_provider(self, model: str | None = None) -> ProviderConfig | None:
+        """Get matched provider config (api_key, api_base, extra_headers). Falls back to first available."""
+        p, _ = self._match_provider(model)
+        return p
+
+    def get_provider_name(self, model: str | None = None) -> str | None:
+        """Get the registry name of the matched provider (e.g. "deepseek", "openrouter")."""
+        _, name = self._match_provider(model)
+        return name
+
+    def get_api_key(self, model: str | None = None) -> str | None:
+        """Get API key for the given model. Falls back to first available key."""
+        p = self.get_provider(model)
+        return p.api_key if p else None
+
+    def get_api_base(self, model: str | None = None) -> str | None:
+        """Get API base URL for the given model. Applies default URLs for known gateways."""
+        from nanobot.providers.registry import find_by_name
+
+        p, name = self._match_provider(model)
+        if p and p.api_base:
+            return p.api_base
+        # Only gateways get a default api_base here. Standard providers
+        # (like Moonshot) set their base URL via env vars in _setup_env
+        # to avoid polluting the global litellm.api_base.
+        if name:
+            spec = find_by_name(name)
+            if spec and spec.is_gateway and spec.default_api_base:
+                return spec.default_api_base
         return None
 
-    class Config:
+    model_config = ConfigDict(env_prefix="NANOBOT_", env_nested_delimiter="__")
-        env_prefix = "NANOBOT_"
-        env_nested_delimiter = "__"

nanobot/cron/service.py

@@ -4,6 +4,7 @@ import asyncio
 import json
 import time
 import uuid
+from datetime import datetime
 from pathlib import Path
 from typing import Any, Callable, Coroutine
 
@@ -30,9 +31,14 @@ def _compute_next_run(schedule: CronSchedule, now_ms: int) -> int | None:
     if schedule.kind == "cron" and schedule.expr:
         try:
             from croniter import croniter
-            cron = croniter(schedule.expr, time.time())
+            from zoneinfo import ZoneInfo
-            next_time = cron.get_next()
+            # Use caller-provided reference time for deterministic scheduling
-            return int(next_time * 1000)
+            base_time = now_ms / 1000
+            tz = ZoneInfo(schedule.tz) if schedule.tz else datetime.now().astimezone().tzinfo
+            base_dt = datetime.fromtimestamp(base_time, tz=tz)
+            cron = croniter(schedule.expr, base_dt)
+            next_dt = cron.get_next(datetime)
+            return int(next_dt.timestamp() * 1000)
         except Exception:
             return None
     

nanobot/providers/__init__.py

@@ -2,5 +2,6 @@
 
 from nanobot.providers.base import LLMProvider, LLMResponse
 from nanobot.providers.litellm_provider import LiteLLMProvider
+from nanobot.providers.openai_codex_provider import OpenAICodexProvider
 
-__all__ = ["LLMProvider", "LLMResponse", "LiteLLMProvider"]
+__all__ = ["LLMProvider", "LLMResponse", "LiteLLMProvider", "OpenAICodexProvider"]

nanobot/providers/base.py

@@ -20,6 +20,7 @@ class LLMResponse:
     tool_calls: list[ToolCallRequest] = field(default_factory=list)
     finish_reason: str = "stop"
     usage: dict[str, int] = field(default_factory=dict)
+    reasoning_content: str | None = None  # Kimi, DeepSeek-R1 etc.
     
     @property
     def has_tool_calls(self) -> bool:

nanobot/providers/custom_provider.py

@@ -0,0 +1,47 @@
+"""Direct OpenAI-compatible provider — bypasses LiteLLM."""
+
+from __future__ import annotations
+
+from typing import Any
+
+import json_repair
+from openai import AsyncOpenAI
+
+from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
+
+
+class CustomProvider(LLMProvider):
+
+    def __init__(self, api_key: str = "no-key", api_base: str = "http://localhost:8000/v1", default_model: str = "default"):
+        super().__init__(api_key, api_base)
+        self.default_model = default_model
+        self._client = AsyncOpenAI(api_key=api_key, base_url=api_base)
+
+    async def chat(self, messages: list[dict[str, Any]], tools: list[dict[str, Any]] | None = None,
+                   model: str | None = None, max_tokens: int = 4096, temperature: float = 0.7) -> LLMResponse:
+        kwargs: dict[str, Any] = {"model": model or self.default_model, "messages": messages,
+                                  "max_tokens": max(1, max_tokens), "temperature": temperature}
+        if tools:
+            kwargs.update(tools=tools, tool_choice="auto")
+        try:
+            return self._parse(await self._client.chat.completions.create(**kwargs))
+        except Exception as e:
+            return LLMResponse(content=f"Error: {e}", finish_reason="error")
+
+    def _parse(self, response: Any) -> LLMResponse:
+        choice = response.choices[0]
+        msg = choice.message
+        tool_calls = [
+            ToolCallRequest(id=tc.id, name=tc.function.name,
+                            arguments=json_repair.loads(tc.function.arguments) if isinstance(tc.function.arguments, str) else tc.function.arguments)
+            for tc in (msg.tool_calls or [])
+        ]
+        u = response.usage
+        return LLMResponse(
+            content=msg.content, tool_calls=tool_calls, finish_reason=choice.finish_reason or "stop",
+            usage={"prompt_tokens": u.prompt_tokens, "completion_tokens": u.completion_tokens, "total_tokens": u.total_tokens} if u else {},
+            reasoning_content=getattr(msg, "reasoning_content", None),
+        )
+
+    def get_default_model(self) -> str:
+        return self.default_model

nanobot/providers/litellm_provider.py

@@ -1,5 +1,7 @@
 """LiteLLM provider implementation for multi-provider support."""
 
+import json
+import json_repair
 import os
 from typing import Any
 
@@ -7,58 +9,99 @@ import litellm
 from litellm import acompletion
 
 from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
+from nanobot.providers.registry import find_by_model, find_gateway
 
 
 class LiteLLMProvider(LLMProvider):
     """
     LLM provider using LiteLLM for multi-provider support.
     
-    Supports OpenRouter, Anthropic, OpenAI, Gemini, and many other providers through
+    Supports OpenRouter, Anthropic, OpenAI, Gemini, MiniMax, and many other providers through
-    a unified interface.
+    a unified interface.  Provider-specific logic is driven by the registry
+    (see providers/registry.py) — no if-elif chains needed here.
     """
     
     def __init__(
         self, 
         api_key: str | None = None, 
         api_base: str | None = None,
-        default_model: str = "anthropic/claude-opus-4-5"
+        default_model: str = "anthropic/claude-opus-4-5",
+        extra_headers: dict[str, str] | None = None,
+        provider_name: str | None = None,
     ):
         super().__init__(api_key, api_base)
         self.default_model = default_model
+        self.extra_headers = extra_headers or {}
         
-        # Detect OpenRouter by api_key prefix or explicit api_base
+        # Detect gateway / local deployment.
-        self.is_openrouter = (
+        # provider_name (from config key) is the primary signal;
-            (api_key and api_key.startswith("sk-or-")) or
+        # api_key / api_base are fallback for auto-detection.
-            (api_base and "openrouter" in api_base)
+        self._gateway = find_gateway(provider_name, api_key, api_base)
-        )
         
-        # Track if using custom endpoint (vLLM, etc.)
+        # Configure environment variables
-        self.is_vllm = bool(api_base) and not self.is_openrouter
-        
-        # Configure LiteLLM based on provider
         if api_key:
-            if self.is_openrouter:
+            self._setup_env(api_key, api_base, default_model)
-                # OpenRouter mode - set key
-                os.environ["OPENROUTER_API_KEY"] = api_key
-            elif self.is_vllm:
-                # vLLM/custom endpoint - uses OpenAI-compatible API
-                os.environ["OPENAI_API_KEY"] = api_key
-            elif "anthropic" in default_model:
-                os.environ.setdefault("ANTHROPIC_API_KEY", api_key)
-            elif "openai" in default_model or "gpt" in default_model:
-                os.environ.setdefault("OPENAI_API_KEY", api_key)
-            elif "gemini" in default_model.lower():
-                os.environ.setdefault("GEMINI_API_KEY", api_key)
-            elif "zhipu" in default_model or "glm" in default_model or "zai" in default_model:
-                os.environ.setdefault("ZHIPUAI_API_KEY", api_key)
-            elif "groq" in default_model:
-                os.environ.setdefault("GROQ_API_KEY", api_key)
         
         if api_base:
             litellm.api_base = api_base
         
         # Disable LiteLLM logging noise
         litellm.suppress_debug_info = True
+        # Drop unsupported parameters for providers (e.g., gpt-5 rejects some params)
+        litellm.drop_params = True
+    
+    def _setup_env(self, api_key: str, api_base: str | None, model: str) -> None:
+        """Set environment variables based on detected provider."""
+        spec = self._gateway or find_by_model(model)
+        if not spec:
+            return
+        if not spec.env_key:
+            # OAuth/provider-only specs (for example: openai_codex)
+            return
+
+        # Gateway/local overrides existing env; standard provider doesn't
+        if self._gateway:
+            os.environ[spec.env_key] = api_key
+        else:
+            os.environ.setdefault(spec.env_key, api_key)
+
+        # Resolve env_extras placeholders:
+        #   {api_key}  → user's API key
+        #   {api_base} → user's api_base, falling back to spec.default_api_base
+        effective_base = api_base or spec.default_api_base
+        for env_name, env_val in spec.env_extras:
+            resolved = env_val.replace("{api_key}", api_key)
+            resolved = resolved.replace("{api_base}", effective_base)
+            os.environ.setdefault(env_name, resolved)
+    
+    def _resolve_model(self, model: str) -> str:
+        """Resolve model name by applying provider/gateway prefixes."""
+        if self._gateway:
+            # Gateway mode: apply gateway prefix, skip provider-specific prefixes
+            prefix = self._gateway.litellm_prefix
+            if self._gateway.strip_model_prefix:
+                model = model.split("/")[-1]
+            if prefix and not model.startswith(f"{prefix}/"):
+                model = f"{prefix}/{model}"
+            return model
+        
+        # Standard mode: auto-prefix for known providers
+        spec = find_by_model(model)
+        if spec and spec.litellm_prefix:
+            if not any(model.startswith(s) for s in spec.skip_prefixes):
+                model = f"{spec.litellm_prefix}/{model}"
+        
+        return model
+    
+    def _apply_model_overrides(self, model: str, kwargs: dict[str, Any]) -> None:
+        """Apply model-specific parameter overrides from the registry."""
+        model_lower = model.lower()
+        spec = find_by_model(model)
+        if spec:
+            for pattern, overrides in spec.model_overrides:
+                if pattern in model_lower:
+                    kwargs.update(overrides)
+                    return
     
     async def chat(
         self,
@@ -81,29 +124,11 @@ class LiteLLMProvider(LLMProvider):
         Returns:
             LLMResponse with content and/or tool calls.
         """
-        model = model or self.default_model
+        model = self._resolve_model(model or self.default_model)
         
-        # For OpenRouter, prefix model name if not already prefixed
+        # Clamp max_tokens to at least 1 — negative or zero values cause
-        if self.is_openrouter and not model.startswith("openrouter/"):
+        # LiteLLM to reject the request with "max_tokens must be at least 1".
-            model = f"openrouter/{model}"
+        max_tokens = max(1, max_tokens)
-        
-        # For Zhipu/Z.ai, ensure prefix is present
-        # Handle cases like "glm-4.7-flash" -> "zai/glm-4.7-flash"
-        if ("glm" in model.lower() or "zhipu" in model.lower()) and not (
-            model.startswith("zhipu/") or 
-            model.startswith("zai/") or 
-            model.startswith("openrouter/")
-        ):
-            model = f"zai/{model}"
-        
-        # For vLLM, use hosted_vllm/ prefix per LiteLLM docs
-        # Convert openai/ prefix to hosted_vllm/ if user specified it
-        if self.is_vllm:
-            model = f"hosted_vllm/{model}"
-        
-        # For Gemini, ensure gemini/ prefix if not already present
-        if "gemini" in model.lower() and not model.startswith("gemini/"):
-            model = f"gemini/{model}"
         
         kwargs: dict[str, Any] = {
             "model": model,
@@ -112,10 +137,21 @@ class LiteLLMProvider(LLMProvider):
             "temperature": temperature,
         }
         
-        # Pass api_base directly for custom endpoints (vLLM, etc.)
+        # Apply model-specific overrides (e.g. kimi-k2.5 temperature)
+        self._apply_model_overrides(model, kwargs)
+        
+        # Pass api_key directly — more reliable than env vars alone
+        if self.api_key:
+            kwargs["api_key"] = self.api_key
+        
+        # Pass api_base for custom endpoints
         if self.api_base:
             kwargs["api_base"] = self.api_base
         
+        # Pass extra headers (e.g. APP-Code for AiHubMix)
+        if self.extra_headers:
+            kwargs["extra_headers"] = self.extra_headers
+        
         if tools:
             kwargs["tools"] = tools
             kwargs["tool_choice"] = "auto"
@@ -141,11 +177,7 @@ class LiteLLMProvider(LLMProvider):
                 # Parse arguments from JSON string if needed
                 args = tc.function.arguments
                 if isinstance(args, str):
-                    import json
+                    args = json_repair.loads(args)
-                    try:
-                        args = json.loads(args)
-                    except json.JSONDecodeError:
-                        args = {"raw": args}
                 
                 tool_calls.append(ToolCallRequest(
                     id=tc.id,
@@ -161,11 +193,14 @@ class LiteLLMProvider(LLMProvider):
                 "total_tokens": response.usage.total_tokens,
             }
         
+        reasoning_content = getattr(message, "reasoning_content", None)
+        
         return LLMResponse(
             content=message.content,
             tool_calls=tool_calls,
             finish_reason=choice.finish_reason or "stop",
             usage=usage,
+            reasoning_content=reasoning_content,
         )
     
     def get_default_model(self) -> str:

nanobot/providers/openai_codex_provider.py

@@ -0,0 +1,312 @@
+"""OpenAI Codex Responses Provider."""
+
+from __future__ import annotations
+
+import asyncio
+import hashlib
+import json
+from typing import Any, AsyncGenerator
+
+import httpx
+from loguru import logger
+
+from oauth_cli_kit import get_token as get_codex_token
+from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
+
+DEFAULT_CODEX_URL = "https://chatgpt.com/backend-api/codex/responses"
+DEFAULT_ORIGINATOR = "nanobot"
+
+
+class OpenAICodexProvider(LLMProvider):
+    """Use Codex OAuth to call the Responses API."""
+
+    def __init__(self, default_model: str = "openai-codex/gpt-5.1-codex"):
+        super().__init__(api_key=None, api_base=None)
+        self.default_model = default_model
+
+    async def chat(
+        self,
+        messages: list[dict[str, Any]],
+        tools: list[dict[str, Any]] | None = None,
+        model: str | None = None,
+        max_tokens: int = 4096,
+        temperature: float = 0.7,
+    ) -> LLMResponse:
+        model = model or self.default_model
+        system_prompt, input_items = _convert_messages(messages)
+
+        token = await asyncio.to_thread(get_codex_token)
+        headers = _build_headers(token.account_id, token.access)
+
+        body: dict[str, Any] = {
+            "model": _strip_model_prefix(model),
+            "store": False,
+            "stream": True,
+            "instructions": system_prompt,
+            "input": input_items,
+            "text": {"verbosity": "medium"},
+            "include": ["reasoning.encrypted_content"],
+            "prompt_cache_key": _prompt_cache_key(messages),
+            "tool_choice": "auto",
+            "parallel_tool_calls": True,
+        }
+
+        if tools:
+            body["tools"] = _convert_tools(tools)
+
+        url = DEFAULT_CODEX_URL
+
+        try:
+            try:
+                content, tool_calls, finish_reason = await _request_codex(url, headers, body, verify=True)
+            except Exception as e:
+                if "CERTIFICATE_VERIFY_FAILED" not in str(e):
+                    raise
+                logger.warning("SSL certificate verification failed for Codex API; retrying with verify=False")
+                content, tool_calls, finish_reason = await _request_codex(url, headers, body, verify=False)
+            return LLMResponse(
+                content=content,
+                tool_calls=tool_calls,
+                finish_reason=finish_reason,
+            )
+        except Exception as e:
+            return LLMResponse(
+                content=f"Error calling Codex: {str(e)}",
+                finish_reason="error",
+            )
+
+    def get_default_model(self) -> str:
+        return self.default_model
+
+
+def _strip_model_prefix(model: str) -> str:
+    if model.startswith("openai-codex/"):
+        return model.split("/", 1)[1]
+    return model
+
+
+def _build_headers(account_id: str, token: str) -> dict[str, str]:
+    return {
+        "Authorization": f"Bearer {token}",
+        "chatgpt-account-id": account_id,
+        "OpenAI-Beta": "responses=experimental",
+        "originator": DEFAULT_ORIGINATOR,
+        "User-Agent": "nanobot (python)",
+        "accept": "text/event-stream",
+        "content-type": "application/json",
+    }
+
+
+async def _request_codex(
+    url: str,
+    headers: dict[str, str],
+    body: dict[str, Any],
+    verify: bool,
+) -> tuple[str, list[ToolCallRequest], str]:
+    async with httpx.AsyncClient(timeout=60.0, verify=verify) as client:
+        async with client.stream("POST", url, headers=headers, json=body) as response:
+            if response.status_code != 200:
+                text = await response.aread()
+                raise RuntimeError(_friendly_error(response.status_code, text.decode("utf-8", "ignore")))
+            return await _consume_sse(response)
+
+
+def _convert_tools(tools: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    """Convert OpenAI function-calling schema to Codex flat format."""
+    converted: list[dict[str, Any]] = []
+    for tool in tools:
+        fn = (tool.get("function") or {}) if tool.get("type") == "function" else tool
+        name = fn.get("name")
+        if not name:
+            continue
+        params = fn.get("parameters") or {}
+        converted.append({
+            "type": "function",
+            "name": name,
+            "description": fn.get("description") or "",
+            "parameters": params if isinstance(params, dict) else {},
+        })
+    return converted
+
+
+def _convert_messages(messages: list[dict[str, Any]]) -> tuple[str, list[dict[str, Any]]]:
+    system_prompt = ""
+    input_items: list[dict[str, Any]] = []
+
+    for idx, msg in enumerate(messages):
+        role = msg.get("role")
+        content = msg.get("content")
+
+        if role == "system":
+            system_prompt = content if isinstance(content, str) else ""
+            continue
+
+        if role == "user":
+            input_items.append(_convert_user_message(content))
+            continue
+
+        if role == "assistant":
+            # Handle text first.
+            if isinstance(content, str) and content:
+                input_items.append(
+                    {
+                        "type": "message",
+                        "role": "assistant",
+                        "content": [{"type": "output_text", "text": content}],
+                        "status": "completed",
+                        "id": f"msg_{idx}",
+                    }
+                )
+            # Then handle tool calls.
+            for tool_call in msg.get("tool_calls", []) or []:
+                fn = tool_call.get("function") or {}
+                call_id, item_id = _split_tool_call_id(tool_call.get("id"))
+                call_id = call_id or f"call_{idx}"
+                item_id = item_id or f"fc_{idx}"
+                input_items.append(
+                    {
+                        "type": "function_call",
+                        "id": item_id,
+                        "call_id": call_id,
+                        "name": fn.get("name"),
+                        "arguments": fn.get("arguments") or "{}",
+                    }
+                )
+            continue
+
+        if role == "tool":
+            call_id, _ = _split_tool_call_id(msg.get("tool_call_id"))
+            output_text = content if isinstance(content, str) else json.dumps(content)
+            input_items.append(
+                {
+                    "type": "function_call_output",
+                    "call_id": call_id,
+                    "output": output_text,
+                }
+            )
+            continue
+
+    return system_prompt, input_items
+
+
+def _convert_user_message(content: Any) -> dict[str, Any]:
+    if isinstance(content, str):
+        return {"role": "user", "content": [{"type": "input_text", "text": content}]}
+    if isinstance(content, list):
+        converted: list[dict[str, Any]] = []
+        for item in content:
+            if not isinstance(item, dict):
+                continue
+            if item.get("type") == "text":
+                converted.append({"type": "input_text", "text": item.get("text", "")})
+            elif item.get("type") == "image_url":
+                url = (item.get("image_url") or {}).get("url")
+                if url:
+                    converted.append({"type": "input_image", "image_url": url, "detail": "auto"})
+        if converted:
+            return {"role": "user", "content": converted}
+    return {"role": "user", "content": [{"type": "input_text", "text": ""}]}
+
+
+def _split_tool_call_id(tool_call_id: Any) -> tuple[str, str | None]:
+    if isinstance(tool_call_id, str) and tool_call_id:
+        if "|" in tool_call_id:
+            call_id, item_id = tool_call_id.split("|", 1)
+            return call_id, item_id or None
+        return tool_call_id, None
+    return "call_0", None
+
+
+def _prompt_cache_key(messages: list[dict[str, Any]]) -> str:
+    raw = json.dumps(messages, ensure_ascii=True, sort_keys=True)
+    return hashlib.sha256(raw.encode("utf-8")).hexdigest()
+
+
+async def _iter_sse(response: httpx.Response) -> AsyncGenerator[dict[str, Any], None]:
+    buffer: list[str] = []
+    async for line in response.aiter_lines():
+        if line == "":
+            if buffer:
+                data_lines = [l[5:].strip() for l in buffer if l.startswith("data:")]
+                buffer = []
+                if not data_lines:
+                    continue
+                data = "\n".join(data_lines).strip()
+                if not data or data == "[DONE]":
+                    continue
+                try:
+                    yield json.loads(data)
+                except Exception:
+                    continue
+            continue
+        buffer.append(line)
+
+
+async def _consume_sse(response: httpx.Response) -> tuple[str, list[ToolCallRequest], str]:
+    content = ""
+    tool_calls: list[ToolCallRequest] = []
+    tool_call_buffers: dict[str, dict[str, Any]] = {}
+    finish_reason = "stop"
+
+    async for event in _iter_sse(response):
+        event_type = event.get("type")
+        if event_type == "response.output_item.added":
+            item = event.get("item") or {}
+            if item.get("type") == "function_call":
+                call_id = item.get("call_id")
+                if not call_id:
+                    continue
+                tool_call_buffers[call_id] = {
+                    "id": item.get("id") or "fc_0",
+                    "name": item.get("name"),
+                    "arguments": item.get("arguments") or "",
+                }
+        elif event_type == "response.output_text.delta":
+            content += event.get("delta") or ""
+        elif event_type == "response.function_call_arguments.delta":
+            call_id = event.get("call_id")
+            if call_id and call_id in tool_call_buffers:
+                tool_call_buffers[call_id]["arguments"] += event.get("delta") or ""
+        elif event_type == "response.function_call_arguments.done":
+            call_id = event.get("call_id")
+            if call_id and call_id in tool_call_buffers:
+                tool_call_buffers[call_id]["arguments"] = event.get("arguments") or ""
+        elif event_type == "response.output_item.done":
+            item = event.get("item") or {}
+            if item.get("type") == "function_call":
+                call_id = item.get("call_id")
+                if not call_id:
+                    continue
+                buf = tool_call_buffers.get(call_id) or {}
+                args_raw = buf.get("arguments") or item.get("arguments") or "{}"
+                try:
+                    args = json.loads(args_raw)
+                except Exception:
+                    args = {"raw": args_raw}
+                tool_calls.append(
+                    ToolCallRequest(
+                        id=f"{call_id}|{buf.get('id') or item.get('id') or 'fc_0'}",
+                        name=buf.get("name") or item.get("name"),
+                        arguments=args,
+                    )
+                )
+        elif event_type == "response.completed":
+            status = (event.get("response") or {}).get("status")
+            finish_reason = _map_finish_reason(status)
+        elif event_type in {"error", "response.failed"}:
+            raise RuntimeError("Codex response failed")
+
+    return content, tool_calls, finish_reason
+
+
+_FINISH_REASON_MAP = {"completed": "stop", "incomplete": "length", "failed": "error", "cancelled": "error"}
+
+
+def _map_finish_reason(status: str | None) -> str:
+    return _FINISH_REASON_MAP.get(status or "completed", "stop")
+
+
+def _friendly_error(status_code: int, raw: str) -> str:
+    if status_code == 429:
+        return "ChatGPT usage quota exceeded or rate limit triggered. Please try again later."
+    return f"HTTP {status_code}: {raw}"

nanobot/providers/registry.py

@@ -0,0 +1,431 @@
+"""
+Provider Registry — single source of truth for LLM provider metadata.
+
+Adding a new provider:
+  1. Add a ProviderSpec to PROVIDERS below.
+  2. Add a field to ProvidersConfig in config/schema.py.
+  Done. Env vars, prefixing, config matching, status display all derive from here.
+
+Order matters — it controls match priority and fallback. Gateways first.
+Every entry writes out all fields so you can copy-paste as a template.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any
+
+
+@dataclass(frozen=True)
+class ProviderSpec:
+    """One LLM provider's metadata. See PROVIDERS below for real examples.
+
+    Placeholders in env_extras values:
+      {api_key}  — the user's API key
+      {api_base} — api_base from config, or this spec's default_api_base
+    """
+
+    # identity
+    name: str                       # config field name, e.g. "dashscope"
+    keywords: tuple[str, ...]       # model-name keywords for matching (lowercase)
+    env_key: str                    # LiteLLM env var, e.g. "DASHSCOPE_API_KEY"
+    display_name: str = ""          # shown in `nanobot status`
+
+    # model prefixing
+    litellm_prefix: str = ""                 # "dashscope" → model becomes "dashscope/{model}"
+    skip_prefixes: tuple[str, ...] = ()      # don't prefix if model already starts with these
+
+    # extra env vars, e.g. (("ZHIPUAI_API_KEY", "{api_key}"),)
+    env_extras: tuple[tuple[str, str], ...] = ()
+
+    # gateway / local detection
+    is_gateway: bool = False                 # routes any model (OpenRouter, AiHubMix)
+    is_local: bool = False                   # local deployment (vLLM, Ollama)
+    detect_by_key_prefix: str = ""           # match api_key prefix, e.g. "sk-or-"
+    detect_by_base_keyword: str = ""         # match substring in api_base URL
+    default_api_base: str = ""               # fallback base URL
+
+    # gateway behavior
+    strip_model_prefix: bool = False         # strip "provider/" before re-prefixing
+
+    # per-model param overrides, e.g. (("kimi-k2.5", {"temperature": 1.0}),)
+    model_overrides: tuple[tuple[str, dict[str, Any]], ...] = ()
+
+    # OAuth-based providers (e.g., OpenAI Codex) don't use API keys
+    is_oauth: bool = False                   # if True, uses OAuth flow instead of API key
+
+    # Direct providers bypass LiteLLM entirely (e.g., CustomProvider)
+    is_direct: bool = False
+
+    @property
+    def label(self) -> str:
+        return self.display_name or self.name.title()
+
+
+# ---------------------------------------------------------------------------
+# PROVIDERS — the registry. Order = priority. Copy any entry as template.
+# ---------------------------------------------------------------------------
+
+PROVIDERS: tuple[ProviderSpec, ...] = (
+
+    # === Custom (direct OpenAI-compatible endpoint, bypasses LiteLLM) ======
+    ProviderSpec(
+        name="custom",
+        keywords=(),
+        env_key="",
+        display_name="Custom",
+        litellm_prefix="",
+        is_direct=True,
+    ),
+
+    # === Gateways (detected by api_key / api_base, not model name) =========
+    # Gateways can route any model, so they win in fallback.
+
+    # OpenRouter: global gateway, keys start with "sk-or-"
+    ProviderSpec(
+        name="openrouter",
+        keywords=("openrouter",),
+        env_key="OPENROUTER_API_KEY",
+        display_name="OpenRouter",
+        litellm_prefix="openrouter",        # claude-3 → openrouter/claude-3
+        skip_prefixes=(),
+        env_extras=(),
+        is_gateway=True,
+        is_local=False,
+        detect_by_key_prefix="sk-or-",
+        detect_by_base_keyword="openrouter",
+        default_api_base="https://openrouter.ai/api/v1",
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+
+    # AiHubMix: global gateway, OpenAI-compatible interface.
+    # strip_model_prefix=True: it doesn't understand "anthropic/claude-3",
+    # so we strip to bare "claude-3" then re-prefix as "openai/claude-3".
+    ProviderSpec(
+        name="aihubmix",
+        keywords=("aihubmix",),
+        env_key="OPENAI_API_KEY",           # OpenAI-compatible
+        display_name="AiHubMix",
+        litellm_prefix="openai",            # → openai/{model}
+        skip_prefixes=(),
+        env_extras=(),
+        is_gateway=True,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="aihubmix",
+        default_api_base="https://aihubmix.com/v1",
+        strip_model_prefix=True,            # anthropic/claude-3 → claude-3 → openai/claude-3
+        model_overrides=(),
+    ),
+
+    # SiliconFlow (硅基流动): OpenAI-compatible gateway, model names keep org prefix
+    ProviderSpec(
+        name="siliconflow",
+        keywords=("siliconflow",),
+        env_key="OPENAI_API_KEY",
+        display_name="SiliconFlow",
+        litellm_prefix="openai",
+        skip_prefixes=(),
+        env_extras=(),
+        is_gateway=True,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="siliconflow",
+        default_api_base="https://api.siliconflow.cn/v1",
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+
+    # === Standard providers (matched by model-name keywords) ===============
+
+    # Anthropic: LiteLLM recognizes "claude-*" natively, no prefix needed.
+    ProviderSpec(
+        name="anthropic",
+        keywords=("anthropic", "claude"),
+        env_key="ANTHROPIC_API_KEY",
+        display_name="Anthropic",
+        litellm_prefix="",
+        skip_prefixes=(),
+        env_extras=(),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="",
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+
+    # OpenAI: LiteLLM recognizes "gpt-*" natively, no prefix needed.
+    ProviderSpec(
+        name="openai",
+        keywords=("openai", "gpt"),
+        env_key="OPENAI_API_KEY",
+        display_name="OpenAI",
+        litellm_prefix="",
+        skip_prefixes=(),
+        env_extras=(),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="",
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+
+    # OpenAI Codex: uses OAuth, not API key.
+    ProviderSpec(
+        name="openai_codex",
+        keywords=("openai-codex", "codex"),
+        env_key="",                         # OAuth-based, no API key
+        display_name="OpenAI Codex",
+        litellm_prefix="",                  # Not routed through LiteLLM
+        skip_prefixes=(),
+        env_extras=(),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="codex",
+        default_api_base="https://chatgpt.com/backend-api",
+        strip_model_prefix=False,
+        model_overrides=(),
+        is_oauth=True,                      # OAuth-based authentication
+    ),
+
+    # Github Copilot: uses OAuth, not API key.
+    ProviderSpec(
+        name="github_copilot",
+        keywords=("github_copilot", "copilot"),
+        env_key="",                         # OAuth-based, no API key
+        display_name="Github Copilot",
+        litellm_prefix="github_copilot",   # github_copilot/model → github_copilot/model
+        skip_prefixes=("github_copilot/",),
+        env_extras=(),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="",
+        strip_model_prefix=False,
+        model_overrides=(),
+        is_oauth=True,                      # OAuth-based authentication
+    ),
+
+    # DeepSeek: needs "deepseek/" prefix for LiteLLM routing.
+    ProviderSpec(
+        name="deepseek",
+        keywords=("deepseek",),
+        env_key="DEEPSEEK_API_KEY",
+        display_name="DeepSeek",
+        litellm_prefix="deepseek",          # deepseek-chat → deepseek/deepseek-chat
+        skip_prefixes=("deepseek/",),       # avoid double-prefix
+        env_extras=(),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="",
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+
+    # Gemini: needs "gemini/" prefix for LiteLLM.
+    ProviderSpec(
+        name="gemini",
+        keywords=("gemini",),
+        env_key="GEMINI_API_KEY",
+        display_name="Gemini",
+        litellm_prefix="gemini",            # gemini-pro → gemini/gemini-pro
+        skip_prefixes=("gemini/",),         # avoid double-prefix
+        env_extras=(),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="",
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+
+    # Zhipu: LiteLLM uses "zai/" prefix.
+    # Also mirrors key to ZHIPUAI_API_KEY (some LiteLLM paths check that).
+    # skip_prefixes: don't add "zai/" when already routed via gateway.
+    ProviderSpec(
+        name="zhipu",
+        keywords=("zhipu", "glm", "zai"),
+        env_key="ZAI_API_KEY",
+        display_name="Zhipu AI",
+        litellm_prefix="zai",              # glm-4 → zai/glm-4
+        skip_prefixes=("zhipu/", "zai/", "openrouter/", "hosted_vllm/"),
+        env_extras=(
+            ("ZHIPUAI_API_KEY", "{api_key}"),
+        ),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="",
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+
+    # DashScope: Qwen models, needs "dashscope/" prefix.
+    ProviderSpec(
+        name="dashscope",
+        keywords=("qwen", "dashscope"),
+        env_key="DASHSCOPE_API_KEY",
+        display_name="DashScope",
+        litellm_prefix="dashscope",         # qwen-max → dashscope/qwen-max
+        skip_prefixes=("dashscope/", "openrouter/"),
+        env_extras=(),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="",
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+
+    # Moonshot: Kimi models, needs "moonshot/" prefix.
+    # LiteLLM requires MOONSHOT_API_BASE env var to find the endpoint.
+    # Kimi K2.5 API enforces temperature >= 1.0.
+    ProviderSpec(
+        name="moonshot",
+        keywords=("moonshot", "kimi"),
+        env_key="MOONSHOT_API_KEY",
+        display_name="Moonshot",
+        litellm_prefix="moonshot",          # kimi-k2.5 → moonshot/kimi-k2.5
+        skip_prefixes=("moonshot/", "openrouter/"),
+        env_extras=(
+            ("MOONSHOT_API_BASE", "{api_base}"),
+        ),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="https://api.moonshot.ai/v1",   # intl; use api.moonshot.cn for China
+        strip_model_prefix=False,
+        model_overrides=(
+            ("kimi-k2.5", {"temperature": 1.0}),
+        ),
+    ),
+
+    # MiniMax: needs "minimax/" prefix for LiteLLM routing.
+    # Uses OpenAI-compatible API at api.minimax.io/v1.
+    ProviderSpec(
+        name="minimax",
+        keywords=("minimax",),
+        env_key="MINIMAX_API_KEY",
+        display_name="MiniMax",
+        litellm_prefix="minimax",            # MiniMax-M2.1 → minimax/MiniMax-M2.1
+        skip_prefixes=("minimax/", "openrouter/"),
+        env_extras=(),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="https://api.minimax.io/v1",
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+
+    # === Local deployment (matched by config key, NOT by api_base) =========
+
+    # vLLM / any OpenAI-compatible local server.
+    # Detected when config key is "vllm" (provider_name="vllm").
+    ProviderSpec(
+        name="vllm",
+        keywords=("vllm",),
+        env_key="HOSTED_VLLM_API_KEY",
+        display_name="vLLM/Local",
+        litellm_prefix="hosted_vllm",      # Llama-3-8B → hosted_vllm/Llama-3-8B
+        skip_prefixes=(),
+        env_extras=(),
+        is_gateway=False,
+        is_local=True,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="",                # user must provide in config
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+
+    # === Auxiliary (not a primary LLM provider) ============================
+
+    # Groq: mainly used for Whisper voice transcription, also usable for LLM.
+    # Needs "groq/" prefix for LiteLLM routing. Placed last — it rarely wins fallback.
+    ProviderSpec(
+        name="groq",
+        keywords=("groq",),
+        env_key="GROQ_API_KEY",
+        display_name="Groq",
+        litellm_prefix="groq",              # llama3-8b-8192 → groq/llama3-8b-8192
+        skip_prefixes=("groq/",),           # avoid double-prefix
+        env_extras=(),
+        is_gateway=False,
+        is_local=False,
+        detect_by_key_prefix="",
+        detect_by_base_keyword="",
+        default_api_base="",
+        strip_model_prefix=False,
+        model_overrides=(),
+    ),
+)
+
+
+# ---------------------------------------------------------------------------
+# Lookup helpers
+# ---------------------------------------------------------------------------
+
+def find_by_model(model: str) -> ProviderSpec | None:
+    """Match a standard provider by model-name keyword (case-insensitive).
+    Skips gateways/local — those are matched by api_key/api_base instead."""
+    model_lower = model.lower()
+    for spec in PROVIDERS:
+        if spec.is_gateway or spec.is_local:
+            continue
+        if any(kw in model_lower for kw in spec.keywords):
+            return spec
+    return None
+
+
+def find_gateway(
+    provider_name: str | None = None,
+    api_key: str | None = None,
+    api_base: str | None = None,
+) -> ProviderSpec | None:
+    """Detect gateway/local provider.
+
+    Priority:
+      1. provider_name — if it maps to a gateway/local spec, use it directly.
+      2. api_key prefix — e.g. "sk-or-" → OpenRouter.
+      3. api_base keyword — e.g. "aihubmix" in URL → AiHubMix.
+
+    A standard provider with a custom api_base (e.g. DeepSeek behind a proxy)
+    will NOT be mistaken for vLLM — the old fallback is gone.
+    """
+    # 1. Direct match by config key
+    if provider_name:
+        spec = find_by_name(provider_name)
+        if spec and (spec.is_gateway or spec.is_local):
+            return spec
+
+    # 2. Auto-detect by api_key prefix / api_base keyword
+    for spec in PROVIDERS:
+        if spec.detect_by_key_prefix and api_key and api_key.startswith(spec.detect_by_key_prefix):
+            return spec
+        if spec.detect_by_base_keyword and api_base and spec.detect_by_base_keyword in api_base:
+            return spec
+
+    return None
+
+
+def find_by_name(name: str) -> ProviderSpec | None:
+    """Find a provider spec by config field name, e.g. "dashscope"."""
+    for spec in PROVIDERS:
+        if spec.name == name:
+            return spec
+    return None

nanobot/session/manager.py

@@ -17,6 +17,10 @@ class Session:
     A conversation session.
 
     Stores messages in JSONL format for easy reading and persistence.
+
+    Important: Messages are append-only for LLM cache efficiency.
+    The consolidation process writes summaries to MEMORY.md/HISTORY.md
+    but does NOT modify the messages list or get_history() output.
     """
 
     key: str  # channel:chat_id
@@ -24,6 +28,7 @@ class Session:
     created_at: datetime = field(default_factory=datetime.now)
     updated_at: datetime = field(default_factory=datetime.now)
     metadata: dict[str, Any] = field(default_factory=dict)
+    last_consolidated: int = 0  # Number of messages already consolidated to files
     
     def add_message(self, role: str, content: str, **kwargs: Any) -> None:
         """Add a message to the session."""
@@ -36,25 +41,21 @@ class Session:
         self.messages.append(msg)
         self.updated_at = datetime.now()
     
-    def get_history(self, max_messages: int = 50) -> list[dict[str, Any]]:
+    def get_history(self, max_messages: int = 500) -> list[dict[str, Any]]:
-        """
+        """Get recent messages in LLM format, preserving tool metadata."""
-        Get message history for LLM context.
+        out: list[dict[str, Any]] = []
-        
+        for m in self.messages[-max_messages:]:
-        Args:
+            entry: dict[str, Any] = {"role": m["role"], "content": m.get("content", "")}
-            max_messages: Maximum messages to return.
+            for k in ("tool_calls", "tool_call_id", "name"):
-        
+                if k in m:
-        Returns:
+                    entry[k] = m[k]
-            List of messages in LLM format.
+            out.append(entry)
-        """
+        return out
-        # Get recent messages
-        recent = self.messages[-max_messages:] if len(self.messages) > max_messages else self.messages
-        
-        # Convert to LLM format (just role and content)
-        return [{"role": m["role"], "content": m["content"]} for m in recent]
     
     def clear(self) -> None:
-        """Clear all messages in the session."""
+        """Clear all messages and reset session to initial state."""
         self.messages = []
+        self.last_consolidated = 0
         self.updated_at = datetime.now()
 
 
@@ -67,7 +68,8 @@ class SessionManager:
 
     def __init__(self, workspace: Path):
         self.workspace = workspace
-        self.sessions_dir = ensure_dir(Path.home() / ".nanobot" / "sessions")
+        self.sessions_dir = ensure_dir(self.workspace / "sessions")
+        self.legacy_sessions_dir = Path.home() / ".nanobot" / "sessions"
         self._cache: dict[str, Session] = {}
     
     def _get_session_path(self, key: str) -> Path:
@@ -75,6 +77,11 @@ class SessionManager:
         safe_key = safe_filename(key.replace(":", "_"))
         return self.sessions_dir / f"{safe_key}.jsonl"
 
+    def _get_legacy_session_path(self, key: str) -> Path:
+        """Legacy global session path (~/.nanobot/sessions/)."""
+        safe_key = safe_filename(key.replace(":", "_"))
+        return self.legacy_sessions_dir / f"{safe_key}.jsonl"
+    
     def get_or_create(self, key: str) -> Session:
         """
         Get an existing session or create a new one.
@@ -85,11 +92,9 @@ class SessionManager:
         Returns:
             The session.
         """
-        # Check cache
         if key in self._cache:
             return self._cache[key]
         
-        # Try to load from disk
         session = self._load(key)
         if session is None:
             session = Session(key=key)
@@ -100,6 +105,12 @@ class SessionManager:
     def _load(self, key: str) -> Session | None:
         """Load a session from disk."""
         path = self._get_session_path(key)
+        if not path.exists():
+            legacy_path = self._get_legacy_session_path(key)
+            if legacy_path.exists():
+                import shutil
+                shutil.move(str(legacy_path), str(path))
+                logger.info(f"Migrated session {key} from legacy path")
 
         if not path.exists():
             return None
@@ -108,6 +119,7 @@ class SessionManager:
             messages = []
             metadata = {}
             created_at = None
+            last_consolidated = 0
 
             with open(path) as f:
                 for line in f:
@@ -120,6 +132,7 @@ class SessionManager:
                     if data.get("_type") == "metadata":
                         metadata = data.get("metadata", {})
                         created_at = datetime.fromisoformat(data["created_at"]) if data.get("created_at") else None
+                        last_consolidated = data.get("last_consolidated", 0)
                     else:
                         messages.append(data)
 
@@ -127,7 +140,8 @@ class SessionManager:
                 key=key,
                 messages=messages,
                 created_at=created_at or datetime.now(),
-                metadata=metadata
+                metadata=metadata,
+                last_consolidated=last_consolidated
             )
         except Exception as e:
             logger.warning(f"Failed to load session {key}: {e}")
@@ -138,41 +152,23 @@ class SessionManager:
         path = self._get_session_path(session.key)
 
         with open(path, "w") as f:
-            # Write metadata first
             metadata_line = {
                 "_type": "metadata",
                 "created_at": session.created_at.isoformat(),
                 "updated_at": session.updated_at.isoformat(),
-                "metadata": session.metadata
+                "metadata": session.metadata,
+                "last_consolidated": session.last_consolidated
             }
             f.write(json.dumps(metadata_line) + "\n")
-            
-            # Write messages
             for msg in session.messages:
                 f.write(json.dumps(msg) + "\n")
 
         self._cache[session.key] = session
     
-    def delete(self, key: str) -> bool:
+    def invalidate(self, key: str) -> None:
-        """
+        """Remove a session from the in-memory cache."""
-        Delete a session.
-        
-        Args:
-            key: Session key.
-        
-        Returns:
-            True if deleted, False if not found.
-        """
-        # Remove from cache
         self._cache.pop(key, None)
     
-        # Remove file
-        path = self._get_session_path(key)
-        if path.exists():
-            path.unlink()
-            return True
-        return False
-    
     def list_sessions(self) -> list[dict[str, Any]]:
         """
         List all sessions.

nanobot/skills/README.md

@@ -21,4 +21,5 @@ The skill format and metadata structure follow OpenClaw's conventions to maintai
 | `weather` | Get weather info using wttr.in and Open-Meteo |
 | `summarize` | Summarize URLs, files, and YouTube videos |
 | `tmux` | Remote-control tmux sessions |
+| `clawhub` | Search and install skills from ClawHub registry |
 | `skill-creator` | Create new skills |

nanobot/skills/clawhub/SKILL.md

@@ -0,0 +1,53 @@
+---
+name: clawhub
+description: Search and install agent skills from ClawHub, the public skill registry.
+homepage: https://clawhub.ai
+metadata: {"nanobot":{"emoji":"🦞"}}
+---
+
+# ClawHub
+
+Public skill registry for AI agents. Search by natural language (vector search).
+
+## When to use
+
+Use this skill when the user asks any of:
+- "find a skill for …"
+- "search for skills"
+- "install a skill"
+- "what skills are available?"
+- "update my skills"
+
+## Search
+
+```bash
+npx --yes clawhub@latest search "web scraping" --limit 5
+```
+
+## Install
+
+```bash
+npx --yes clawhub@latest install <slug> --workdir ~/.nanobot/workspace
+```
+
+Replace `<slug>` with the skill name from search results. This places the skill into `~/.nanobot/workspace/skills/`, where nanobot loads workspace skills from. Always include `--workdir`.
+
+## Update
+
+```bash
+npx --yes clawhub@latest update --all --workdir ~/.nanobot/workspace
+```
+
+## List installed
+
+```bash
+npx --yes clawhub@latest list --workdir ~/.nanobot/workspace
+```
+
+## Notes
+
+- Requires Node.js (`npx` comes with it).
+- No API key needed for search and install.
+- Login (`npx --yes clawhub@latest login`) is only required for publishing.
+- `--workdir ~/.nanobot/workspace` is critical — without it, skills install to the current directory instead of the nanobot workspace.
+- After install, remind the user to start a new session to load the skill.

nanobot/skills/cron/SKILL.md

@@ -0,0 +1,57 @@
+---
+name: cron
+description: Schedule reminders and recurring tasks.
+---
+
+# Cron
+
+Use the `cron` tool to schedule reminders or recurring tasks.
+
+## Three Modes
+
+1. **Reminder** - message is sent directly to user
+2. **Task** - message is a task description, agent executes and sends result
+3. **One-time** - runs once at a specific time, then auto-deletes
+
+## Examples
+
+Fixed reminder:
+```
+cron(action="add", message="Time to take a break!", every_seconds=1200)
+```
+
+Dynamic task (agent executes each time):
+```
+cron(action="add", message="Check HKUDS/nanobot GitHub stars and report", every_seconds=600)
+```
+
+One-time scheduled task (compute ISO datetime from current time):
+```
+cron(action="add", message="Remind me about the meeting", at="<ISO datetime>")
+```
+
+Timezone-aware cron:
+```
+cron(action="add", message="Morning standup", cron_expr="0 9 * * 1-5", tz="America/Vancouver")
+```
+
+List/remove:
+```
+cron(action="list")
+cron(action="remove", job_id="abc123")
+```
+
+## Time Expressions
+
+| User says | Parameters |
+|-----------|------------|
+| every 20 minutes | every_seconds: 1200 |
+| every hour | every_seconds: 3600 |
+| every day at 8am | cron_expr: "0 8 * * *" |
+| weekdays at 5pm | cron_expr: "0 17 * * 1-5" |
+| 9am Vancouver time daily | cron_expr: "0 9 * * *", tz: "America/Vancouver" |
+| at a specific time | at: ISO datetime string (compute from current time) |
+
+## Timezone
+
+Use `tz` with `cron_expr` to schedule in a specific IANA timezone. Without `tz`, the server's local timezone is used.

nanobot/skills/memory/SKILL.md

@@ -0,0 +1,31 @@
+---
+name: memory
+description: Two-layer memory system with grep-based recall.
+always: true
+---
+
+# Memory
+
+## Structure
+
+- `memory/MEMORY.md` — Long-term facts (preferences, project context, relationships). Always loaded into your context.
+- `memory/HISTORY.md` — Append-only event log. NOT loaded into context. Search it with grep.
+
+## Search Past Events
+
+```bash
+grep -i "keyword" memory/HISTORY.md
+```
+
+Use the `exec` tool to run grep. Combine patterns: `grep -iE "meeting|deadline" memory/HISTORY.md`
+
+## When to Update MEMORY.md
+
+Write important facts immediately using `edit_file` or `write_file`:
+- User preferences ("I prefer dark mode")
+- Project context ("The API uses OAuth2")
+- Relationships ("Alice is the project lead")
+
+## Auto-consolidation
+
+Old conversations are automatically summarized and appended to HISTORY.md when the session grows large. Long-term facts are extracted to MEMORY.md. You don't need to manage this.

nanobot/utils/helpers.py

@@ -37,23 +37,12 @@ def get_sessions_path() -> Path:
     return ensure_dir(get_data_path() / "sessions")
 
 
-def get_memory_path(workspace: Path | None = None) -> Path:
-    """Get the memory directory within the workspace."""
-    ws = workspace or get_workspace_path()
-    return ensure_dir(ws / "memory")
-
-
 def get_skills_path(workspace: Path | None = None) -> Path:
     """Get the skills directory within the workspace."""
     ws = workspace or get_workspace_path()
     return ensure_dir(ws / "skills")
 
 
-def today_date() -> str:
-    """Get today's date in YYYY-MM-DD format."""
-    return datetime.now().strftime("%Y-%m-%d")
-
-
 def timestamp() -> str:
     """Get current timestamp in ISO format."""
     return datetime.now().isoformat()

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "nanobot-ai"
-version = "0.1.3.post4"
+version = "0.1.4"
 description = "A lightweight personal AI assistant framework"
 requires-python = ">=3.11"
 license = {text = "MIT"}
@@ -24,11 +24,24 @@ dependencies = [
     "websockets>=12.0",
     "websocket-client>=1.6.0",
     "httpx>=0.25.0",
+    "oauth-cli-kit>=0.1.1",
     "loguru>=0.7.0",
     "readability-lxml>=0.8.0",
     "rich>=13.0.0",
     "croniter>=2.0.0",
-    "python-telegram-bot>=21.0",
+    "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",
+    "slackify-markdown>=0.2.0",
+    "qq-botpy>=1.0.0",
+    "python-socks[asyncio]>=2.4.0",
+    "prompt-toolkit>=3.0.0",
+    "mcp>=1.0.0",
+    "json-repair>=0.30.0",
 ]
 
 [project.optional-dependencies]

tests/test_cli_input.py

@@ -0,0 +1,59 @@
+import asyncio
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+from prompt_toolkit.formatted_text import HTML
+
+from nanobot.cli import commands
+
+
+@pytest.fixture
+def mock_prompt_session():
+    """Mock the global prompt session."""
+    mock_session = MagicMock()
+    mock_session.prompt_async = AsyncMock()
+    with patch("nanobot.cli.commands._PROMPT_SESSION", mock_session), \
+         patch("nanobot.cli.commands.patch_stdout"):
+        yield mock_session
+
+
+@pytest.mark.asyncio
+async def test_read_interactive_input_async_returns_input(mock_prompt_session):
+    """Test that _read_interactive_input_async returns the user input from prompt_session."""
+    mock_prompt_session.prompt_async.return_value = "hello world"
+
+    result = await commands._read_interactive_input_async()
+    
+    assert result == "hello world"
+    mock_prompt_session.prompt_async.assert_called_once()
+    args, _ = mock_prompt_session.prompt_async.call_args
+    assert isinstance(args[0], HTML)  # Verify HTML prompt is used
+
+
+@pytest.mark.asyncio
+async def test_read_interactive_input_async_handles_eof(mock_prompt_session):
+    """Test that EOFError converts to KeyboardInterrupt."""
+    mock_prompt_session.prompt_async.side_effect = EOFError()
+
+    with pytest.raises(KeyboardInterrupt):
+        await commands._read_interactive_input_async()
+
+
+def test_init_prompt_session_creates_session():
+    """Test that _init_prompt_session initializes the global session."""
+    # Ensure global is None before test
+    commands._PROMPT_SESSION = None
+    
+    with patch("nanobot.cli.commands.PromptSession") as MockSession, \
+         patch("nanobot.cli.commands.FileHistory") as MockHistory, \
+         patch("pathlib.Path.home") as mock_home:
+        
+        mock_home.return_value = MagicMock()
+        
+        commands._init_prompt_session()
+        
+        assert commands._PROMPT_SESSION is not None
+        MockSession.assert_called_once()
+        _, kwargs = MockSession.call_args
+        assert kwargs["multiline"] is False
+        assert kwargs["enable_open_in_editor"] is False

tests/test_commands.py

@@ -0,0 +1,92 @@
+import shutil
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+from typer.testing import CliRunner
+
+from nanobot.cli.commands import app
+
+runner = CliRunner()
+
+
+@pytest.fixture
+def mock_paths():
+    """Mock config/workspace paths for test isolation."""
+    with patch("nanobot.config.loader.get_config_path") as mock_cp, \
+         patch("nanobot.config.loader.save_config") as mock_sc, \
+         patch("nanobot.config.loader.load_config") as mock_lc, \
+         patch("nanobot.utils.helpers.get_workspace_path") as mock_ws:
+
+        base_dir = Path("./test_onboard_data")
+        if base_dir.exists():
+            shutil.rmtree(base_dir)
+        base_dir.mkdir()
+
+        config_file = base_dir / "config.json"
+        workspace_dir = base_dir / "workspace"
+
+        mock_cp.return_value = config_file
+        mock_ws.return_value = workspace_dir
+        mock_sc.side_effect = lambda config: config_file.write_text("{}")
+
+        yield config_file, workspace_dir
+
+        if base_dir.exists():
+            shutil.rmtree(base_dir)
+
+
+def test_onboard_fresh_install(mock_paths):
+    """No existing config — should create from scratch."""
+    config_file, workspace_dir = mock_paths
+
+    result = runner.invoke(app, ["onboard"])
+
+    assert result.exit_code == 0
+    assert "Created config" in result.stdout
+    assert "Created workspace" in result.stdout
+    assert "nanobot is ready" in result.stdout
+    assert config_file.exists()
+    assert (workspace_dir / "AGENTS.md").exists()
+    assert (workspace_dir / "memory" / "MEMORY.md").exists()
+
+
+def test_onboard_existing_config_refresh(mock_paths):
+    """Config exists, user declines overwrite — should refresh (load-merge-save)."""
+    config_file, workspace_dir = mock_paths
+    config_file.write_text('{"existing": true}')
+
+    result = runner.invoke(app, ["onboard"], input="n\n")
+
+    assert result.exit_code == 0
+    assert "Config already exists" in result.stdout
+    assert "existing values preserved" in result.stdout
+    assert workspace_dir.exists()
+    assert (workspace_dir / "AGENTS.md").exists()
+
+
+def test_onboard_existing_config_overwrite(mock_paths):
+    """Config exists, user confirms overwrite — should reset to defaults."""
+    config_file, workspace_dir = mock_paths
+    config_file.write_text('{"existing": true}')
+
+    result = runner.invoke(app, ["onboard"], input="y\n")
+
+    assert result.exit_code == 0
+    assert "Config already exists" in result.stdout
+    assert "Config reset to defaults" in result.stdout
+    assert workspace_dir.exists()
+
+
+def test_onboard_existing_workspace_safe_create(mock_paths):
+    """Workspace exists — should not recreate, but still add missing templates."""
+    config_file, workspace_dir = mock_paths
+    workspace_dir.mkdir(parents=True)
+    config_file.write_text("{}")
+
+    result = runner.invoke(app, ["onboard"], input="n\n")
+
+    assert result.exit_code == 0
+    assert "Created workspace" not in result.stdout
+    assert "Created AGENTS.md" in result.stdout
+    assert (workspace_dir / "AGENTS.md").exists()

tests/test_consolidate_offset.py

@@ -0,0 +1,477 @@
+"""Test session management with cache-friendly message handling."""
+
+import pytest
+from pathlib import Path
+from nanobot.session.manager import Session, SessionManager
+
+# Test constants
+MEMORY_WINDOW = 50
+KEEP_COUNT = MEMORY_WINDOW // 2  # 25
+
+
+def create_session_with_messages(key: str, count: int, role: str = "user") -> Session:
+    """Create a session and add the specified number of messages.
+
+    Args:
+        key: Session identifier
+        count: Number of messages to add
+        role: Message role (default: "user")
+
+    Returns:
+        Session with the specified messages
+    """
+    session = Session(key=key)
+    for i in range(count):
+        session.add_message(role, f"msg{i}")
+    return session
+
+
+def assert_messages_content(messages: list, start_index: int, end_index: int) -> None:
+    """Assert that messages contain expected content from start to end index.
+
+    Args:
+        messages: List of message dictionaries
+        start_index: Expected first message index
+        end_index: Expected last message index
+    """
+    assert len(messages) > 0
+    assert messages[0]["content"] == f"msg{start_index}"
+    assert messages[-1]["content"] == f"msg{end_index}"
+
+
+def get_old_messages(session: Session, last_consolidated: int, keep_count: int) -> list:
+    """Extract messages that would be consolidated using the standard slice logic.
+
+    Args:
+        session: The session containing messages
+        last_consolidated: Index of last consolidated message
+        keep_count: Number of recent messages to keep
+
+    Returns:
+        List of messages that would be consolidated
+    """
+    return session.messages[last_consolidated:-keep_count]
+
+
+class TestSessionLastConsolidated:
+    """Test last_consolidated tracking to avoid duplicate processing."""
+
+    def test_initial_last_consolidated_zero(self) -> None:
+        """Test that new session starts with last_consolidated=0."""
+        session = Session(key="test:initial")
+        assert session.last_consolidated == 0
+
+    def test_last_consolidated_persistence(self, tmp_path) -> None:
+        """Test that last_consolidated persists across save/load."""
+        manager = SessionManager(Path(tmp_path))
+        session1 = create_session_with_messages("test:persist", 20)
+        session1.last_consolidated = 15
+        manager.save(session1)
+
+        session2 = manager.get_or_create("test:persist")
+        assert session2.last_consolidated == 15
+        assert len(session2.messages) == 20
+
+    def test_clear_resets_last_consolidated(self) -> None:
+        """Test that clear() resets last_consolidated to 0."""
+        session = create_session_with_messages("test:clear", 10)
+        session.last_consolidated = 5
+
+        session.clear()
+        assert len(session.messages) == 0
+        assert session.last_consolidated == 0
+
+
+class TestSessionImmutableHistory:
+    """Test Session message immutability for cache efficiency."""
+
+    def test_initial_state(self) -> None:
+        """Test that new session has empty messages list."""
+        session = Session(key="test:initial")
+        assert len(session.messages) == 0
+
+    def test_add_messages_appends_only(self) -> None:
+        """Test that adding messages only appends, never modifies."""
+        session = Session(key="test:preserve")
+        session.add_message("user", "msg1")
+        session.add_message("assistant", "resp1")
+        session.add_message("user", "msg2")
+        assert len(session.messages) == 3
+        assert session.messages[0]["content"] == "msg1"
+
+    def test_get_history_returns_most_recent(self) -> None:
+        """Test get_history returns the most recent messages."""
+        session = Session(key="test:history")
+        for i in range(10):
+            session.add_message("user", f"msg{i}")
+            session.add_message("assistant", f"resp{i}")
+
+        history = session.get_history(max_messages=6)
+        assert len(history) == 6
+        assert history[0]["content"] == "msg7"
+        assert history[-1]["content"] == "resp9"
+
+    def test_get_history_with_all_messages(self) -> None:
+        """Test get_history with max_messages larger than actual."""
+        session = create_session_with_messages("test:all", 5)
+        history = session.get_history(max_messages=100)
+        assert len(history) == 5
+        assert history[0]["content"] == "msg0"
+
+    def test_get_history_stable_for_same_session(self) -> None:
+        """Test that get_history returns same content for same max_messages."""
+        session = create_session_with_messages("test:stable", 20)
+        history1 = session.get_history(max_messages=10)
+        history2 = session.get_history(max_messages=10)
+        assert history1 == history2
+
+    def test_messages_list_never_modified(self) -> None:
+        """Test that messages list is never modified after creation."""
+        session = create_session_with_messages("test:immutable", 5)
+        original_len = len(session.messages)
+
+        session.get_history(max_messages=2)
+        assert len(session.messages) == original_len
+
+        for _ in range(10):
+            session.get_history(max_messages=3)
+        assert len(session.messages) == original_len
+
+
+class TestSessionPersistence:
+    """Test Session persistence and reload."""
+
+    @pytest.fixture
+    def temp_manager(self, tmp_path):
+        return SessionManager(Path(tmp_path))
+
+    def test_persistence_roundtrip(self, temp_manager):
+        """Test that messages persist across save/load."""
+        session1 = create_session_with_messages("test:persistence", 20)
+        temp_manager.save(session1)
+
+        session2 = temp_manager.get_or_create("test:persistence")
+        assert len(session2.messages) == 20
+        assert session2.messages[0]["content"] == "msg0"
+        assert session2.messages[-1]["content"] == "msg19"
+
+    def test_get_history_after_reload(self, temp_manager):
+        """Test that get_history works correctly after reload."""
+        session1 = create_session_with_messages("test:reload", 30)
+        temp_manager.save(session1)
+
+        session2 = temp_manager.get_or_create("test:reload")
+        history = session2.get_history(max_messages=10)
+        assert len(history) == 10
+        assert history[0]["content"] == "msg20"
+        assert history[-1]["content"] == "msg29"
+
+    def test_clear_resets_session(self, temp_manager):
+        """Test that clear() properly resets session."""
+        session = create_session_with_messages("test:clear", 10)
+        assert len(session.messages) == 10
+
+        session.clear()
+        assert len(session.messages) == 0
+
+
+class TestConsolidationTriggerConditions:
+    """Test consolidation trigger conditions and logic."""
+
+    def test_consolidation_needed_when_messages_exceed_window(self):
+        """Test consolidation logic: should trigger when messages > memory_window."""
+        session = create_session_with_messages("test:trigger", 60)
+
+        total_messages = len(session.messages)
+        messages_to_process = total_messages - session.last_consolidated
+
+        assert total_messages > MEMORY_WINDOW
+        assert messages_to_process > 0
+
+        expected_consolidate_count = total_messages - KEEP_COUNT
+        assert expected_consolidate_count == 35
+
+    def test_consolidation_skipped_when_within_keep_count(self):
+        """Test consolidation skipped when total messages <= keep_count."""
+        session = create_session_with_messages("test:skip", 20)
+
+        total_messages = len(session.messages)
+        assert total_messages <= KEEP_COUNT
+
+        old_messages = get_old_messages(session, session.last_consolidated, KEEP_COUNT)
+        assert len(old_messages) == 0
+
+    def test_consolidation_skipped_when_no_new_messages(self):
+        """Test consolidation skipped when messages_to_process <= 0."""
+        session = create_session_with_messages("test:already_consolidated", 40)
+        session.last_consolidated = len(session.messages) - KEEP_COUNT  # 15
+
+        # Add a few more messages
+        for i in range(40, 42):
+            session.add_message("user", f"msg{i}")
+
+        total_messages = len(session.messages)
+        messages_to_process = total_messages - session.last_consolidated
+        assert messages_to_process > 0
+
+        # Simulate last_consolidated catching up
+        session.last_consolidated = total_messages - KEEP_COUNT
+        old_messages = get_old_messages(session, session.last_consolidated, KEEP_COUNT)
+        assert len(old_messages) == 0
+
+
+class TestLastConsolidatedEdgeCases:
+    """Test last_consolidated edge cases and data corruption scenarios."""
+
+    def test_last_consolidated_exceeds_message_count(self):
+        """Test behavior when last_consolidated > len(messages) (data corruption)."""
+        session = create_session_with_messages("test:corruption", 10)
+        session.last_consolidated = 20
+
+        total_messages = len(session.messages)
+        messages_to_process = total_messages - session.last_consolidated
+        assert messages_to_process <= 0
+
+        old_messages = get_old_messages(session, session.last_consolidated, 5)
+        assert len(old_messages) == 0
+
+    def test_last_consolidated_negative_value(self):
+        """Test behavior with negative last_consolidated (invalid state)."""
+        session = create_session_with_messages("test:negative", 10)
+        session.last_consolidated = -5
+
+        keep_count = 3
+        old_messages = get_old_messages(session, session.last_consolidated, keep_count)
+
+        # messages[-5:-3] with 10 messages gives indices 5,6
+        assert len(old_messages) == 2
+        assert old_messages[0]["content"] == "msg5"
+        assert old_messages[-1]["content"] == "msg6"
+
+    def test_messages_added_after_consolidation(self):
+        """Test correct behavior when new messages arrive after consolidation."""
+        session = create_session_with_messages("test:new_messages", 40)
+        session.last_consolidated = len(session.messages) - KEEP_COUNT  # 15
+
+        # Add new messages after consolidation
+        for i in range(40, 50):
+            session.add_message("user", f"msg{i}")
+
+        total_messages = len(session.messages)
+        old_messages = get_old_messages(session, session.last_consolidated, KEEP_COUNT)
+        expected_consolidate_count = total_messages - KEEP_COUNT - session.last_consolidated
+
+        assert len(old_messages) == expected_consolidate_count
+        assert_messages_content(old_messages, 15, 24)
+
+    def test_slice_behavior_when_indices_overlap(self):
+        """Test slice behavior when last_consolidated >= total - keep_count."""
+        session = create_session_with_messages("test:overlap", 30)
+        session.last_consolidated = 12
+
+        old_messages = get_old_messages(session, session.last_consolidated, 20)
+        assert len(old_messages) == 0
+
+
+class TestArchiveAllMode:
+    """Test archive_all mode (used by /new command)."""
+
+    def test_archive_all_consolidates_everything(self):
+        """Test archive_all=True consolidates all messages."""
+        session = create_session_with_messages("test:archive_all", 50)
+
+        archive_all = True
+        if archive_all:
+            old_messages = session.messages
+            assert len(old_messages) == 50
+
+        assert session.last_consolidated == 0
+
+    def test_archive_all_resets_last_consolidated(self):
+        """Test that archive_all mode resets last_consolidated to 0."""
+        session = create_session_with_messages("test:reset", 40)
+        session.last_consolidated = 15
+
+        archive_all = True
+        if archive_all:
+            session.last_consolidated = 0
+
+        assert session.last_consolidated == 0
+        assert len(session.messages) == 40
+
+    def test_archive_all_vs_normal_consolidation(self):
+        """Test difference between archive_all and normal consolidation."""
+        # Normal consolidation
+        session1 = create_session_with_messages("test:normal", 60)
+        session1.last_consolidated = len(session1.messages) - KEEP_COUNT
+
+        # archive_all mode
+        session2 = create_session_with_messages("test:all", 60)
+        session2.last_consolidated = 0
+
+        assert session1.last_consolidated == 35
+        assert len(session1.messages) == 60
+        assert session2.last_consolidated == 0
+        assert len(session2.messages) == 60
+
+
+class TestCacheImmutability:
+    """Test that consolidation doesn't modify session.messages (cache safety)."""
+
+    def test_consolidation_does_not_modify_messages_list(self):
+        """Test that consolidation leaves messages list unchanged."""
+        session = create_session_with_messages("test:immutable", 50)
+
+        original_messages = session.messages.copy()
+        original_len = len(session.messages)
+        session.last_consolidated = original_len - KEEP_COUNT
+
+        assert len(session.messages) == original_len
+        assert session.messages == original_messages
+
+    def test_get_history_does_not_modify_messages(self):
+        """Test that get_history doesn't modify messages list."""
+        session = create_session_with_messages("test:history_immutable", 40)
+        original_messages = [m.copy() for m in session.messages]
+
+        for _ in range(5):
+            history = session.get_history(max_messages=10)
+            assert len(history) == 10
+
+        assert len(session.messages) == 40
+        for i, msg in enumerate(session.messages):
+            assert msg["content"] == original_messages[i]["content"]
+
+    def test_consolidation_only_updates_last_consolidated(self):
+        """Test that consolidation only updates last_consolidated field."""
+        session = create_session_with_messages("test:field_only", 60)
+
+        original_messages = session.messages.copy()
+        original_key = session.key
+        original_metadata = session.metadata.copy()
+
+        session.last_consolidated = len(session.messages) - KEEP_COUNT
+
+        assert session.messages == original_messages
+        assert session.key == original_key
+        assert session.metadata == original_metadata
+        assert session.last_consolidated == 35
+
+
+class TestSliceLogic:
+    """Test the slice logic: messages[last_consolidated:-keep_count]."""
+
+    def test_slice_extracts_correct_range(self):
+        """Test that slice extracts the correct message range."""
+        session = create_session_with_messages("test:slice", 60)
+
+        old_messages = get_old_messages(session, 0, KEEP_COUNT)
+
+        assert len(old_messages) == 35
+        assert_messages_content(old_messages, 0, 34)
+
+        remaining = session.messages[-KEEP_COUNT:]
+        assert len(remaining) == 25
+        assert_messages_content(remaining, 35, 59)
+
+    def test_slice_with_partial_consolidation(self):
+        """Test slice when some messages already consolidated."""
+        session = create_session_with_messages("test:partial", 70)
+
+        last_consolidated = 30
+        old_messages = get_old_messages(session, last_consolidated, KEEP_COUNT)
+
+        assert len(old_messages) == 15
+        assert_messages_content(old_messages, 30, 44)
+
+    def test_slice_with_various_keep_counts(self):
+        """Test slice behavior with different keep_count values."""
+        session = create_session_with_messages("test:keep_counts", 50)
+
+        test_cases = [(10, 40), (20, 30), (30, 20), (40, 10)]
+
+        for keep_count, expected_count in test_cases:
+            old_messages = session.messages[0:-keep_count]
+            assert len(old_messages) == expected_count
+
+    def test_slice_when_keep_count_exceeds_messages(self):
+        """Test slice when keep_count > len(messages)."""
+        session = create_session_with_messages("test:exceed", 10)
+
+        old_messages = session.messages[0:-20]
+        assert len(old_messages) == 0
+
+
+class TestEmptyAndBoundarySessions:
+    """Test empty sessions and boundary conditions."""
+
+    def test_empty_session_consolidation(self):
+        """Test consolidation behavior with empty session."""
+        session = Session(key="test:empty")
+
+        assert len(session.messages) == 0
+        assert session.last_consolidated == 0
+
+        messages_to_process = len(session.messages) - session.last_consolidated
+        assert messages_to_process == 0
+
+        old_messages = get_old_messages(session, session.last_consolidated, KEEP_COUNT)
+        assert len(old_messages) == 0
+
+    def test_single_message_session(self):
+        """Test consolidation with single message."""
+        session = Session(key="test:single")
+        session.add_message("user", "only message")
+
+        assert len(session.messages) == 1
+
+        old_messages = get_old_messages(session, session.last_consolidated, KEEP_COUNT)
+        assert len(old_messages) == 0
+
+    def test_exactly_keep_count_messages(self):
+        """Test session with exactly keep_count messages."""
+        session = create_session_with_messages("test:exact", KEEP_COUNT)
+
+        assert len(session.messages) == KEEP_COUNT
+
+        old_messages = get_old_messages(session, session.last_consolidated, KEEP_COUNT)
+        assert len(old_messages) == 0
+
+    def test_just_over_keep_count(self):
+        """Test session with one message over keep_count."""
+        session = create_session_with_messages("test:over", KEEP_COUNT + 1)
+
+        assert len(session.messages) == 26
+
+        old_messages = get_old_messages(session, session.last_consolidated, KEEP_COUNT)
+        assert len(old_messages) == 1
+        assert old_messages[0]["content"] == "msg0"
+
+    def test_very_large_session(self):
+        """Test consolidation with very large message count."""
+        session = create_session_with_messages("test:large", 1000)
+
+        assert len(session.messages) == 1000
+
+        old_messages = get_old_messages(session, session.last_consolidated, KEEP_COUNT)
+        assert len(old_messages) == 975
+        assert_messages_content(old_messages, 0, 974)
+
+        remaining = session.messages[-KEEP_COUNT:]
+        assert len(remaining) == 25
+        assert_messages_content(remaining, 975, 999)
+
+    def test_session_with_gaps_in_consolidation(self):
+        """Test session with potential gaps in consolidation history."""
+        session = create_session_with_messages("test:gaps", 50)
+        session.last_consolidated = 10
+
+        # Add more messages
+        for i in range(50, 60):
+            session.add_message("user", f"msg{i}")
+
+        old_messages = get_old_messages(session, session.last_consolidated, KEEP_COUNT)
+
+        expected_count = 60 - KEEP_COUNT - 10
+        assert len(old_messages) == expected_count
+        assert_messages_content(old_messages, 10, 34)

tests/test_docker.sh

@@ -1,5 +1,6 @@
 #!/usr/bin/env bash
 set -euo pipefail
+cd "$(dirname "$0")/.." || exit 1
 
 IMAGE_NAME="nanobot-test"
 

tests/test_email_channel.py

@@ -0,0 +1,311 @@
+from email.message import EmailMessage
+from datetime import date
+
+import pytest
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.email import EmailChannel
+from nanobot.config.schema import EmailConfig
+
+
+def _make_config() -> EmailConfig:
+    return EmailConfig(
+        enabled=True,
+        consent_granted=True,
+        imap_host="imap.example.com",
+        imap_port=993,
+        imap_username="bot@example.com",
+        imap_password="secret",
+        smtp_host="smtp.example.com",
+        smtp_port=587,
+        smtp_username="bot@example.com",
+        smtp_password="secret",
+        mark_seen=True,
+    )
+
+
+def _make_raw_email(
+    from_addr: str = "alice@example.com",
+    subject: str = "Hello",
+    body: str = "This is the body.",
+) -> bytes:
+    msg = EmailMessage()
+    msg["From"] = from_addr
+    msg["To"] = "bot@example.com"
+    msg["Subject"] = subject
+    msg["Message-ID"] = "<m1@example.com>"
+    msg.set_content(body)
+    return msg.as_bytes()
+
+
+def test_fetch_new_messages_parses_unseen_and_marks_seen(monkeypatch) -> None:
+    raw = _make_raw_email(subject="Invoice", body="Please pay")
+
+    class FakeIMAP:
+        def __init__(self) -> None:
+            self.store_calls: list[tuple[bytes, str, str]] = []
+
+        def login(self, _user: str, _pw: str):
+            return "OK", [b"logged in"]
+
+        def select(self, _mailbox: str):
+            return "OK", [b"1"]
+
+        def search(self, *_args):
+            return "OK", [b"1"]
+
+        def fetch(self, _imap_id: bytes, _parts: str):
+            return "OK", [(b"1 (UID 123 BODY[] {200})", raw), b")"]
+
+        def store(self, imap_id: bytes, op: str, flags: str):
+            self.store_calls.append((imap_id, op, flags))
+            return "OK", [b""]
+
+        def logout(self):
+            return "BYE", [b""]
+
+    fake = FakeIMAP()
+    monkeypatch.setattr("nanobot.channels.email.imaplib.IMAP4_SSL", lambda _h, _p: fake)
+
+    channel = EmailChannel(_make_config(), MessageBus())
+    items = channel._fetch_new_messages()
+
+    assert len(items) == 1
+    assert items[0]["sender"] == "alice@example.com"
+    assert items[0]["subject"] == "Invoice"
+    assert "Please pay" in items[0]["content"]
+    assert fake.store_calls == [(b"1", "+FLAGS", "\\Seen")]
+
+    # Same UID should be deduped in-process.
+    items_again = channel._fetch_new_messages()
+    assert items_again == []
+
+
+def test_extract_text_body_falls_back_to_html() -> None:
+    msg = EmailMessage()
+    msg["From"] = "alice@example.com"
+    msg["To"] = "bot@example.com"
+    msg["Subject"] = "HTML only"
+    msg.add_alternative("<p>Hello<br>world</p>", subtype="html")
+
+    text = EmailChannel._extract_text_body(msg)
+    assert "Hello" in text
+    assert "world" in text
+
+
+@pytest.mark.asyncio
+async def test_start_returns_immediately_without_consent(monkeypatch) -> None:
+    cfg = _make_config()
+    cfg.consent_granted = False
+    channel = EmailChannel(cfg, MessageBus())
+
+    called = {"fetch": False}
+
+    def _fake_fetch():
+        called["fetch"] = True
+        return []
+
+    monkeypatch.setattr(channel, "_fetch_new_messages", _fake_fetch)
+    await channel.start()
+    assert channel.is_running is False
+    assert called["fetch"] is False
+
+
+@pytest.mark.asyncio
+async def test_send_uses_smtp_and_reply_subject(monkeypatch) -> None:
+    class FakeSMTP:
+        def __init__(self, _host: str, _port: int, timeout: int = 30) -> None:
+            self.timeout = timeout
+            self.started_tls = False
+            self.logged_in = False
+            self.sent_messages: list[EmailMessage] = []
+
+        def __enter__(self):
+            return self
+
+        def __exit__(self, exc_type, exc, tb):
+            return False
+
+        def starttls(self, context=None):
+            self.started_tls = True
+
+        def login(self, _user: str, _pw: str):
+            self.logged_in = True
+
+        def send_message(self, msg: EmailMessage):
+            self.sent_messages.append(msg)
+
+    fake_instances: list[FakeSMTP] = []
+
+    def _smtp_factory(host: str, port: int, timeout: int = 30):
+        instance = FakeSMTP(host, port, timeout=timeout)
+        fake_instances.append(instance)
+        return instance
+
+    monkeypatch.setattr("nanobot.channels.email.smtplib.SMTP", _smtp_factory)
+
+    channel = EmailChannel(_make_config(), MessageBus())
+    channel._last_subject_by_chat["alice@example.com"] = "Invoice #42"
+    channel._last_message_id_by_chat["alice@example.com"] = "<m1@example.com>"
+
+    await channel.send(
+        OutboundMessage(
+            channel="email",
+            chat_id="alice@example.com",
+            content="Acknowledged.",
+        )
+    )
+
+    assert len(fake_instances) == 1
+    smtp = fake_instances[0]
+    assert smtp.started_tls is True
+    assert smtp.logged_in is True
+    assert len(smtp.sent_messages) == 1
+    sent = smtp.sent_messages[0]
+    assert sent["Subject"] == "Re: Invoice #42"
+    assert sent["To"] == "alice@example.com"
+    assert sent["In-Reply-To"] == "<m1@example.com>"
+
+
+@pytest.mark.asyncio
+async def test_send_skips_when_auto_reply_disabled(monkeypatch) -> None:
+    class FakeSMTP:
+        def __init__(self, _host: str, _port: int, timeout: int = 30) -> None:
+            self.sent_messages: list[EmailMessage] = []
+
+        def __enter__(self):
+            return self
+
+        def __exit__(self, exc_type, exc, tb):
+            return False
+
+        def starttls(self, context=None):
+            return None
+
+        def login(self, _user: str, _pw: str):
+            return None
+
+        def send_message(self, msg: EmailMessage):
+            self.sent_messages.append(msg)
+
+    fake_instances: list[FakeSMTP] = []
+
+    def _smtp_factory(host: str, port: int, timeout: int = 30):
+        instance = FakeSMTP(host, port, timeout=timeout)
+        fake_instances.append(instance)
+        return instance
+
+    monkeypatch.setattr("nanobot.channels.email.smtplib.SMTP", _smtp_factory)
+
+    cfg = _make_config()
+    cfg.auto_reply_enabled = False
+    channel = EmailChannel(cfg, MessageBus())
+    await channel.send(
+        OutboundMessage(
+            channel="email",
+            chat_id="alice@example.com",
+            content="Should not send.",
+        )
+    )
+    assert fake_instances == []
+
+    await channel.send(
+        OutboundMessage(
+            channel="email",
+            chat_id="alice@example.com",
+            content="Force send.",
+            metadata={"force_send": True},
+        )
+    )
+    assert len(fake_instances) == 1
+    assert len(fake_instances[0].sent_messages) == 1
+
+
+@pytest.mark.asyncio
+async def test_send_skips_when_consent_not_granted(monkeypatch) -> None:
+    class FakeSMTP:
+        def __init__(self, _host: str, _port: int, timeout: int = 30) -> None:
+            self.sent_messages: list[EmailMessage] = []
+
+        def __enter__(self):
+            return self
+
+        def __exit__(self, exc_type, exc, tb):
+            return False
+
+        def starttls(self, context=None):
+            return None
+
+        def login(self, _user: str, _pw: str):
+            return None
+
+        def send_message(self, msg: EmailMessage):
+            self.sent_messages.append(msg)
+
+    called = {"smtp": False}
+
+    def _smtp_factory(host: str, port: int, timeout: int = 30):
+        called["smtp"] = True
+        return FakeSMTP(host, port, timeout=timeout)
+
+    monkeypatch.setattr("nanobot.channels.email.smtplib.SMTP", _smtp_factory)
+
+    cfg = _make_config()
+    cfg.consent_granted = False
+    channel = EmailChannel(cfg, MessageBus())
+    await channel.send(
+        OutboundMessage(
+            channel="email",
+            chat_id="alice@example.com",
+            content="Should not send.",
+            metadata={"force_send": True},
+        )
+    )
+    assert called["smtp"] is False
+
+
+def test_fetch_messages_between_dates_uses_imap_since_before_without_mark_seen(monkeypatch) -> None:
+    raw = _make_raw_email(subject="Status", body="Yesterday update")
+
+    class FakeIMAP:
+        def __init__(self) -> None:
+            self.search_args = None
+            self.store_calls: list[tuple[bytes, str, str]] = []
+
+        def login(self, _user: str, _pw: str):
+            return "OK", [b"logged in"]
+
+        def select(self, _mailbox: str):
+            return "OK", [b"1"]
+
+        def search(self, *_args):
+            self.search_args = _args
+            return "OK", [b"5"]
+
+        def fetch(self, _imap_id: bytes, _parts: str):
+            return "OK", [(b"5 (UID 999 BODY[] {200})", raw), b")"]
+
+        def store(self, imap_id: bytes, op: str, flags: str):
+            self.store_calls.append((imap_id, op, flags))
+            return "OK", [b""]
+
+        def logout(self):
+            return "BYE", [b""]
+
+    fake = FakeIMAP()
+    monkeypatch.setattr("nanobot.channels.email.imaplib.IMAP4_SSL", lambda _h, _p: fake)
+
+    channel = EmailChannel(_make_config(), MessageBus())
+    items = channel.fetch_messages_between_dates(
+        start_date=date(2026, 2, 6),
+        end_date=date(2026, 2, 7),
+        limit=10,
+    )
+
+    assert len(items) == 1
+    assert items[0]["subject"] == "Status"
+    # search(None, "SINCE", "06-Feb-2026", "BEFORE", "07-Feb-2026")
+    assert fake.search_args is not None
+    assert fake.search_args[1:] == ("SINCE", "06-Feb-2026", "BEFORE", "07-Feb-2026")
+    assert fake.store_calls == []

workspace/AGENTS.md

@@ -20,8 +20,8 @@ You have access to:
 
 ## Memory
 
-- Use `memory/` directory for daily notes
+- `memory/MEMORY.md` — long-term facts (preferences, context, relationships)
-- Use `MEMORY.md` for long-term information
+- `memory/HISTORY.md` — append-only event log, search with grep to recall past events
 
 ## Scheduled Reminders