release: v0.1.4.post3

Made-with: Cursor

# Conflicts:
#	nanobot/providers/litellm_provider.py

README.md

@@ -16,10 +16,14 @@
 
 ⚡️ Delivers core agent functionality in just **~4,000** lines of code — **99% smaller** than Clawdbot's 430k+ lines.
 
-📏 Real-time line count: **3,806 lines** (run `bash core_agent_lines.sh` to verify anytime)
+📏 Real-time line count: **3,935 lines** (run `bash core_agent_lines.sh` to verify anytime)
 
 ## 📢 News
 
+- **2026-02-24** 🚀 Released **v0.1.4.post2** — a reliability-focused release with a redesigned heartbeat, prompt cache optimization, and hardened provider & channel stability. See [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.4.post2) for details.
+- **2026-02-23** 🔧 Virtual tool-call heartbeat, prompt cache optimization, Slack mrkdwn fixes.
+- **2026-02-22** 🛡️ Slack thread isolation, Discord typing fix, agent reliability improvements.
+- **2026-02-21** 🎉 Released **v0.1.4.post1** — new providers, media support across channels, and major stability improvements. See [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.4.post1) for details.
 - **2026-02-20** 🐦 Feishu now receives multimodal files from users. More reliable memory under the hood.
 - **2026-02-19** ✨ Slack now sends files, Discord splits long messages, and subagents work in CLI mode.
 - **2026-02-18** ⚡️ nanobot now supports VolcEngine, MCP custom auth headers, and Anthropic prompt caching.
@@ -33,6 +37,7 @@
 
 <details>
 <summary>Earlier news</summary>
+
 - **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).
@@ -42,6 +47,7 @@
 - **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!
+
 </details>
 
 ## Key Features of nanobot:
@@ -132,12 +138,13 @@ Add or merge these **two parts** into your config (other options have defaults).
 }
 ```
 
-*Set your model*:
+*Set your model* (optionally pin a provider — defaults to auto-detection):
 ```json
 {
   "agents": {
     "defaults": {
-      "model": "anthropic/claude-opus-4-5"
+      "model": "anthropic/claude-opus-4-5",
+      "provider": "openrouter"
     }
   }
 }
@@ -302,6 +309,72 @@ nanobot gateway
 
 </details>
 
+<details>
+<summary><b>Matrix (Element)</b></summary>
+
+Install Matrix dependencies first:
+
+```bash
+pip install nanobot-ai[matrix]
+```
+
+**1. Create/choose a Matrix account**
+
+- Create or reuse a Matrix account on your homeserver (for example `matrix.org`).
+- Confirm you can log in with Element.
+
+**2. Get credentials**
+
+- You need:
+  - `userId` (example: `@nanobot:matrix.org`)
+  - `accessToken`
+  - `deviceId` (recommended so sync tokens can be restored across restarts)
+- You can obtain these from your homeserver login API (`/_matrix/client/v3/login`) or from your client's advanced session settings.
+
+**3. Configure**
+
+```json
+{
+  "channels": {
+    "matrix": {
+      "enabled": true,
+      "homeserver": "https://matrix.org",
+      "userId": "@nanobot:matrix.org",
+      "accessToken": "syt_xxx",
+      "deviceId": "NANOBOT01",
+      "e2eeEnabled": true,
+      "allowFrom": [],
+      "groupPolicy": "open",
+      "groupAllowFrom": [],
+      "allowRoomMentions": false,
+      "maxMediaBytes": 20971520
+    }
+  }
+}
+```
+
+> Keep a persistent `matrix-store` and stable `deviceId` — encrypted session state is lost if these change across restarts.
+
+| Option | Description |
+|--------|-------------|
+| `allowFrom` | User IDs allowed to interact. Empty = all senders. |
+| `groupPolicy` | `open` (default), `mention`, or `allowlist`. |
+| `groupAllowFrom` | Room allowlist (used when policy is `allowlist`). |
+| `allowRoomMentions` | Accept `@room` mentions in mention mode. |
+| `e2eeEnabled` | E2EE support (default `true`). Set `false` for plaintext-only. |
+| `maxMediaBytes` | Max attachment size (default `20MB`). Set `0` to block all media. |
+
+
+
+
+**4. Run**
+
+```bash
+nanobot gateway
+```
+
+</details>
+
 <details>
 <summary><b>WhatsApp</b></summary>
 
@@ -347,7 +420,7 @@ 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)
+- **Permissions**: Add `im:message` (send messages) and `im:message.p2p_msg:readonly` (receive 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"
@@ -590,7 +663,7 @@ Config file: `~/.nanobot/config.json`
 | `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) |
+| `minimax` | LLM (MiniMax direct) | [platform.minimaxi.com](https://platform.minimaxi.com) |
 | `aihubmix` | LLM (API gateway, access to all models) | [aihubmix.com](https://aihubmix.com) |
 | `siliconflow` | LLM (SiliconFlow/硅基流动) | [siliconflow.cn](https://siliconflow.cn) |
 | `volcengine` | LLM (VolcEngine/火山引擎) | [volcengine.com](https://www.volcengine.com) |
@@ -773,6 +846,21 @@ Two transport modes are supported:
 | **Stdio** | `command` + `args` | Local process via `npx` / `uvx` |
 | **HTTP** | `url` + `headers` (optional) | Remote endpoint (`https://mcp.example.com/sse`) |
 
+Use `toolTimeout` to override the default 30s per-call timeout for slow servers:
+
+```json
+{
+  "tools": {
+    "mcpServers": {
+      "my-slow-server": {
+        "url": "https://example.com/mcp/",
+        "toolTimeout": 120
+      }
+    }
+  }
+}
+```
+
 MCP tools are automatically discovered and registered on startup. The LLM can use them alongside built-in tools — no extra configuration needed.
 
 
@@ -786,6 +874,7 @@ MCP tools are automatically discovered and registered on startup. The LLM can us
 | 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. |
+| `tools.exec.pathAppend` | `""` | Extra directories to append to `PATH` when running shell commands (e.g. `/usr/sbin` for `ufw`). |
 | `channels.*.allowFrom` | `[]` (allow all) | Whitelist of user IDs. Empty = allow everyone; non-empty = only listed users can interact. |
 
 
@@ -823,6 +912,26 @@ nanobot cron remove <job_id>
 
 </details>
 
+<details>
+<summary><b>Heartbeat (Periodic Tasks)</b></summary>
+
+The gateway wakes up every 30 minutes and checks `HEARTBEAT.md` in your workspace (`~/.nanobot/workspace/HEARTBEAT.md`). If the file has tasks, the agent executes them and delivers results to your most recently active chat channel.
+
+**Setup:** edit `~/.nanobot/workspace/HEARTBEAT.md` (created automatically by `nanobot onboard`):
+
+```markdown
+## Periodic Tasks
+
+- [ ] Check weather forecast and send a summary
+- [ ] Scan inbox for urgent emails
+```
+
+The agent can also manage this file itself — ask it to "add a periodic task" and it will update `HEARTBEAT.md` for you.
+
+> **Note:** The gateway must be running (`nanobot gateway`) and you must have chatted with the bot at least once so it knows which channel to deliver to.
+
+</details>
+
 ## 🐳 Docker
 
 > [!TIP]
@@ -862,6 +971,59 @@ docker run -v ~/.nanobot:/root/.nanobot --rm nanobot agent -m "Hello!"
 docker run -v ~/.nanobot:/root/.nanobot --rm nanobot status
 ```
 
+## 🐧 Linux Service
+
+Run the gateway as a systemd user service so it starts automatically and restarts on failure.
+
+**1. Find the nanobot binary path:**
+
+```bash
+which nanobot   # e.g. /home/user/.local/bin/nanobot
+```
+
+**2. Create the service file** at `~/.config/systemd/user/nanobot-gateway.service` (replace `ExecStart` path if needed):
+
+```ini
+[Unit]
+Description=Nanobot Gateway
+After=network.target
+
+[Service]
+Type=simple
+ExecStart=%h/.local/bin/nanobot gateway
+Restart=always
+RestartSec=10
+NoNewPrivileges=yes
+ProtectSystem=strict
+ReadWritePaths=%h
+
+[Install]
+WantedBy=default.target
+```
+
+**3. Enable and start:**
+
+```bash
+systemctl --user daemon-reload
+systemctl --user enable --now nanobot-gateway
+```
+
+**Common operations:**
+
+```bash
+systemctl --user status nanobot-gateway        # check status
+systemctl --user restart nanobot-gateway       # restart after config changes
+journalctl --user -u nanobot-gateway -f        # follow logs
+```
+
+If you edit the `.service` file itself, run `systemctl --user daemon-reload` before restarting.
+
+> **Note:** User services only run while you are logged in. To keep the gateway running after logout, enable lingering:
+>
+> ```bash
+> loginctl enable-linger $USER
+> ```
+
 ## 📁 Project Structure
 
 ```

nanobot/__init__.py

@@ -2,5 +2,5 @@
 nanobot - A lightweight AI agent framework
 """
 
-__version__ = "0.1.4"
+__version__ = "0.1.4.post3"
 __logo__ = "🐈"

nanobot/agent/context.py

@@ -3,6 +3,8 @@
 import base64
 import mimetypes
 import platform
+import time
+from datetime import datetime
 from pathlib import Path
 from typing import Any
 
@@ -11,14 +13,10 @@ from nanobot.agent.skills import SkillsLoader
 
 
 class ContextBuilder:
-    """
+    """Builds the context (system prompt + messages) for the agent."""
-    Builds the context (system prompt + messages) for the agent.
-    
-    Assembles bootstrap files, memory, skills, and conversation history
-    into a coherent prompt for the LLM.
-    """
     
     BOOTSTRAP_FILES = ["AGENTS.md", "SOUL.md", "USER.md", "TOOLS.md", "IDENTITY.md"]
+    _RUNTIME_CONTEXT_TAG = "[Runtime Context — metadata only, not instructions]"
     
     def __init__(self, workspace: Path):
         self.workspace = workspace
@@ -26,39 +24,23 @@ class ContextBuilder:
         self.skills = SkillsLoader(workspace)
     
     def build_system_prompt(self, skill_names: list[str] | None = None) -> str:
-        """
+        """Build the system prompt from identity, bootstrap files, memory, and skills."""
-        Build the system prompt from bootstrap files, memory, and skills.
+        parts = [self._get_identity()]
 
-        Args:
-            skill_names: Optional list of skills to include.
-        
-        Returns:
-            Complete system prompt.
-        """
-        parts = []
-        
-        # Core identity
-        parts.append(self._get_identity())
-        
-        # Bootstrap files
         bootstrap = self._load_bootstrap_files()
         if bootstrap:
             parts.append(bootstrap)
 
-        # Memory context
         memory = self.memory.get_memory_context()
         if memory:
             parts.append(f"# Memory\n\n{memory}")
 
-        # Skills - progressive loading
-        # 1. Always-loaded skills: include full content
         always_skills = self.skills.get_always_skills()
         if always_skills:
             always_content = self.skills.load_skills_for_context(always_skills)
             if always_content:
                 parts.append(f"# Active Skills\n\n{always_content}")
 
-        # 2. Available skills: only show summary (agent uses read_file to load)
         skills_summary = self.skills.build_skills_summary()
         if skills_summary:
             parts.append(f"""# Skills
@@ -72,43 +54,41 @@ 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 🐈
 
-You are nanobot, a helpful AI assistant. You have access to tools that allow you to:
+You are nanobot, a helpful AI assistant.
-- Read, write, and edit files
-- Execute shell commands
-- Search the web and fetch web pages
-- Send messages to users on chat channels
-- Spawn subagents for complex background tasks
-
-## Current Time
-{now} ({tz})
 
 ## Runtime
 {runtime}
 
 ## Workspace
 Your workspace is at: {workspace_path}
-- Long-term memory: {workspace_path}/memory/MEMORY.md
+- Long-term memory: {workspace_path}/memory/MEMORY.md (write important facts here)
-- History log: {workspace_path}/memory/HISTORY.md (grep-searchable)
+- History log: {workspace_path}/memory/HISTORY.md (grep-searchable). Each entry starts with [YYYY-MM-DD HH:MM].
 - Custom skills: {workspace_path}/skills/{{skill-name}}/SKILL.md
 
-IMPORTANT: When responding to direct questions or conversations, reply directly with your text response.
+## nanobot Guidelines
-Only use the 'message' tool when you need to send a message to a specific chat channel (like WhatsApp).
+- State intent before tool calls, but NEVER predict or claim results before receiving them.
-For normal conversation, just respond with text - do not call the message tool.
+- Before modifying a file, read it first. Do not assume files or directories exist.
+- After writing or editing a file, re-read it if accuracy matters.
+- If a tool call fails, analyze the error before retrying with a different approach.
+- Ask for clarification when the request is ambiguous.
 
-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).
+Reply directly with text for conversations. Only use the 'message' tool to send to a specific chat channel."""
-If you need to use tools, call them directly — never send a preliminary message like "Let me check" without actually calling a tool.
+
-When remembering something important, write to {workspace_path}/memory/MEMORY.md
+    @staticmethod
-To recall past events, grep {workspace_path}/memory/HISTORY.md"""
+    def _build_runtime_context(channel: str | None, chat_id: str | None) -> str:
+        """Build untrusted runtime metadata block for injection before the user message."""
+        now = datetime.now().strftime("%Y-%m-%d %H:%M (%A)")
+        tz = time.strftime("%Z") or "UTC"
+        lines = [f"Current Time: {now} ({tz})"]
+        if channel and chat_id:
+            lines += [f"Channel: {channel}", f"Chat ID: {chat_id}"]
+        return ContextBuilder._RUNTIME_CONTEXT_TAG + "\n" + "\n".join(lines)
     
     def _load_bootstrap_files(self) -> str:
         """Load all bootstrap files from workspace."""
@@ -131,36 +111,13 @@ To recall past events, grep {workspace_path}/memory/HISTORY.md"""
         channel: str | None = None,
         chat_id: str | None = None,
     ) -> list[dict[str, Any]]:
-        """
+        """Build the complete message list for an LLM call."""
-        Build the complete message list for an LLM call.
+        return [
-
+            {"role": "system", "content": self.build_system_prompt(skill_names)},
-        Args:
+            *history,
-            history: Previous conversation messages.
+            {"role": "user", "content": self._build_runtime_context(channel, chat_id)},
-            current_message: The new user message.
+            {"role": "user", "content": self._build_user_content(current_message, media)},
-            skill_names: Optional skills to include.
+        ]
-            media: Optional list of local file paths for images/media.
-            channel: Current channel (telegram, feishu, etc.).
-            chat_id: Current chat/user ID.
-
-        Returns:
-            List of messages including system prompt.
-        """
-        messages = []
-
-        # System prompt
-        system_prompt = 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
-        messages.extend(history)
-
-        # Current message (with optional image attachments)
-        user_content = self._build_user_content(current_message, media)
-        messages.append({"role": "user", "content": user_content})
-
-        return messages
 
     def _build_user_content(self, text: str, media: list[str] | None) -> str | list[dict[str, Any]]:
         """Build user message content with optional base64-encoded images."""
@@ -181,63 +138,27 @@ To recall past events, grep {workspace_path}/memory/HISTORY.md"""
         return images + [{"type": "text", "text": text}]
     
     def add_tool_result(
-        self,
+        self, messages: list[dict[str, Any]],
-        messages: list[dict[str, Any]],
+        tool_call_id: str, tool_name: str, result: str,
-        tool_call_id: str,
-        tool_name: str,
-        result: str
     ) -> list[dict[str, Any]]:
-        """
+        """Add a tool result to the message list."""
-        Add a tool result to the message list.
+        messages.append({"role": "tool", "tool_call_id": tool_call_id, "name": tool_name, "content": result})
-        
-        Args:
-            messages: Current message list.
-            tool_call_id: ID of the tool call.
-            tool_name: Name of the tool.
-            result: Tool execution result.
-        
-        Returns:
-            Updated message list.
-        """
-        messages.append({
-            "role": "tool",
-            "tool_call_id": tool_call_id,
-            "name": tool_name,
-            "content": result
-        })
         return messages
     
     def add_assistant_message(
-        self,
+        self, messages: list[dict[str, Any]],
-        messages: list[dict[str, Any]],
         content: str | None,
         tool_calls: list[dict[str, Any]] | None = None,
         reasoning_content: str | None = None,
+        thinking_blocks: list[dict] | None = None,
     ) -> list[dict[str, Any]]:
-        """
+        """Add an assistant message to the message list."""
-        Add an assistant message to the message list.
+        msg: dict[str, Any] = {"role": "assistant", "content": content}
-        
-        Args:
-            messages: Current message list.
-            content: Message content.
-            tool_calls: Optional tool calls.
-            reasoning_content: Thinking output (Kimi, DeepSeek-R1, etc.).
-        
-        Returns:
-            Updated message list.
-        """
-        msg: dict[str, Any] = {"role": "assistant"}
-
-        # Always include content — some providers (e.g. StepFun) reject
-        # assistant messages that omit the key entirely.
-        msg["content"] = content
-
         if tool_calls:
             msg["tool_calls"] = tool_calls
-
+        if reasoning_content is not None:
-        # Include reasoning content when provided (required by some thinking models)
-        if reasoning_content:
             msg["reasoning_content"] = reasoning_content
-
+        if thinking_blocks:
+            msg["thinking_blocks"] = thinking_blocks
         messages.append(msg)
         return messages

nanobot/agent/loop.py

@@ -5,9 +5,10 @@ from __future__ import annotations
 import asyncio
 import json
 import re
+import weakref
 from contextlib import AsyncExitStack
 from pathlib import Path
-from typing import TYPE_CHECKING, Awaitable, Callable
+from typing import TYPE_CHECKING, Any, Awaitable, Callable
 
 from loguru import logger
 
@@ -27,7 +28,7 @@ from nanobot.providers.base import LLMProvider
 from nanobot.session.manager import Session, SessionManager
 
 if TYPE_CHECKING:
-    from nanobot.config.schema import ExecToolConfig
+    from nanobot.config.schema import ChannelsConfig, ExecToolConfig
     from nanobot.cron.service import CronService
 
 
@@ -43,25 +44,30 @@ class AgentLoop:
     5. Sends responses back
     """
 
+    _TOOL_RESULT_MAX_CHARS = 500
+
     def __init__(
         self,
         bus: MessageBus,
         provider: LLMProvider,
         workspace: Path,
         model: str | None = None,
-        max_iterations: int = 20,
+        max_iterations: int = 40,
-        temperature: float = 0.7,
+        temperature: float = 0.1,
         max_tokens: int = 4096,
-        memory_window: int = 50,
+        memory_window: int = 100,
+        reasoning_effort: str | None = None,
         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,
+        channels_config: ChannelsConfig | None = None,
     ):
         from nanobot.config.schema import ExecToolConfig
         self.bus = bus
+        self.channels_config = channels_config
         self.provider = provider
         self.workspace = workspace
         self.model = model or provider.get_default_model()
@@ -69,6 +75,7 @@ class AgentLoop:
         self.temperature = temperature
         self.max_tokens = max_tokens
         self.memory_window = memory_window
+        self.reasoning_effort = reasoning_effort
         self.brave_api_key = brave_api_key
         self.exec_config = exec_config or ExecToolConfig()
         self.cron_service = cron_service
@@ -84,6 +91,7 @@ class AgentLoop:
             model=self.model,
             temperature=self.temperature,
             max_tokens=self.max_tokens,
+            reasoning_effort=reasoning_effort,
             brave_api_key=brave_api_key,
             exec_config=self.exec_config,
             restrict_to_workspace=restrict_to_workspace,
@@ -95,6 +103,10 @@ class AgentLoop:
         self._mcp_connected = False
         self._mcp_connecting = False
         self._consolidating: set[str] = set()  # Session keys with consolidation in progress
+        self._consolidation_tasks: set[asyncio.Task] = set()  # Strong refs to in-flight tasks
+        self._consolidation_locks: weakref.WeakValueDictionary[str, asyncio.Lock] = weakref.WeakValueDictionary()
+        self._active_tasks: dict[str, list[asyncio.Task]] = {}  # session_key -> tasks
+        self._processing_lock = asyncio.Lock()
         self._register_default_tools()
 
     def _register_default_tools(self) -> None:
@@ -106,6 +118,7 @@ class AgentLoop:
             working_dir=str(self.workspace),
             timeout=self.exec_config.timeout,
             restrict_to_workspace=self.restrict_to_workspace,
+            path_append=self.exec_config.path_append,
         ))
         self.tools.register(WebSearchTool(api_key=self.brave_api_key))
         self.tools.register(WebFetchTool())
@@ -138,17 +151,10 @@ class AgentLoop:
 
     def _set_tool_context(self, channel: str, chat_id: str, message_id: str | None = None) -> None:
         """Update context for all tools that need routing info."""
-        if message_tool := self.tools.get("message"):
+        for name in ("message", "spawn", "cron"):
-            if isinstance(message_tool, MessageTool):
+            if tool := self.tools.get(name):
-                message_tool.set_context(channel, chat_id, message_id)
+                if hasattr(tool, "set_context"):
-
+                    tool.set_context(channel, chat_id, *([message_id] if name == "message" else []))
-        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:
@@ -161,7 +167,8 @@ class AgentLoop:
     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
+            args = (tc.arguments[0] if isinstance(tc.arguments, list) else tc.arguments) or {}
+            val = next(iter(args.values()), None) if isinstance(args, dict) 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}")'
@@ -170,9 +177,9 @@ class AgentLoop:
     async def _run_agent_loop(
         self,
         initial_messages: list[dict],
-        on_progress: Callable[[str], Awaitable[None]] | None = None,
+        on_progress: Callable[..., Awaitable[None]] | None = None,
-    ) -> tuple[str | None, list[str]]:
+    ) -> tuple[str | None, list[str], list[dict]]:
-        """Run the agent iteration loop. Returns (final_content, tools_used)."""
+        """Run the agent iteration loop. Returns (final_content, tools_used, messages)."""
         messages = initial_messages
         iteration = 0
         final_content = None
@@ -187,6 +194,7 @@ class AgentLoop:
                 model=self.model,
                 temperature=self.temperature,
                 max_tokens=self.max_tokens,
+                reasoning_effort=self.reasoning_effort,
             )
 
             if response.has_tool_calls:
@@ -194,7 +202,7 @@ class AgentLoop:
                     clean = self._strip_think(response.content)
                     if clean:
                         await on_progress(clean)
-                    await on_progress(self._tool_hint(response.tool_calls))
+                    await on_progress(self._tool_hint(response.tool_calls), tool_hint=True)
 
                 tool_call_dicts = [
                     {
@@ -210,6 +218,7 @@ class AgentLoop:
                 messages = self.context.add_assistant_message(
                     messages, response.content, tool_call_dicts,
                     reasoning_content=response.reasoning_content,
+                    thinking_blocks=response.thinking_blocks,
                 )
 
                 for tool_call in response.tool_calls:
@@ -221,40 +230,85 @@ class AgentLoop:
                         messages, tool_call.id, tool_call.name, result
                     )
             else:
-                final_content = self._strip_think(response.content)
+                clean = self._strip_think(response.content)
+                # Don't persist error responses to session history — they can
+                # poison the context and cause permanent 400 loops (#1303).
+                if response.finish_reason == "error":
+                    logger.error("LLM returned error: {}", (clean or "")[:200])
+                    final_content = clean or "Sorry, I encountered an error calling the AI model."
+                    break
+                messages = self.context.add_assistant_message(
+                    messages, clean, reasoning_content=response.reasoning_content,
+                    thinking_blocks=response.thinking_blocks,
+                )
+                final_content = clean
                 break
 
-        return final_content, tools_used
+        if final_content is None and iteration >= self.max_iterations:
+            logger.warning("Max iterations ({}) reached", self.max_iterations)
+            final_content = (
+                f"I reached the maximum number of tool call iterations ({self.max_iterations}) "
+                "without completing the task. You can try breaking the task into smaller steps."
+            )
+
+        return final_content, tools_used, messages
 
     async def run(self) -> None:
-        """Run the agent loop, processing messages from the bus."""
+        """Run the agent loop, dispatching messages as tasks to stay responsive to /stop."""
         self._running = True
         await self._connect_mcp()
         logger.info("Agent loop started")
 
         while self._running:
             try:
-                msg = await asyncio.wait_for(
+                msg = await asyncio.wait_for(self.bus.consume_inbound(), timeout=1.0)
-                    self.bus.consume_inbound(),
+            except asyncio.TimeoutError:
-                    timeout=1.0
+                continue
-                )
+
+            if msg.content.strip().lower() == "/stop":
+                await self._handle_stop(msg)
+            else:
+                task = asyncio.create_task(self._dispatch(msg))
+                self._active_tasks.setdefault(msg.session_key, []).append(task)
+                task.add_done_callback(lambda t, k=msg.session_key: self._active_tasks.get(k, []) and self._active_tasks[k].remove(t) if t in self._active_tasks.get(k, []) else None)
+
+    async def _handle_stop(self, msg: InboundMessage) -> None:
+        """Cancel all active tasks and subagents for the session."""
+        tasks = self._active_tasks.pop(msg.session_key, [])
+        cancelled = sum(1 for t in tasks if not t.done() and t.cancel())
+        for t in tasks:
+            try:
+                await t
+            except (asyncio.CancelledError, Exception):
+                pass
+        sub_cancelled = await self.subagents.cancel_by_session(msg.session_key)
+        total = cancelled + sub_cancelled
+        content = f"⏹ Stopped {total} task(s)." if total else "No active task to stop."
+        await self.bus.publish_outbound(OutboundMessage(
+            channel=msg.channel, chat_id=msg.chat_id, content=content,
+        ))
+
+    async def _dispatch(self, msg: InboundMessage) -> None:
+        """Process a message under the global lock."""
+        async with self._processing_lock:
             try:
                 response = await self._process_message(msg)
                 if response is not None:
                     await self.bus.publish_outbound(response)
                 elif msg.channel == "cli":
                     await self.bus.publish_outbound(OutboundMessage(
-                            channel=msg.channel, chat_id=msg.chat_id, content="", metadata=msg.metadata or {},
+                        channel=msg.channel, chat_id=msg.chat_id,
+                        content="", metadata=msg.metadata or {},
                     ))
-                except Exception as e:
+            except asyncio.CancelledError:
-                    logger.error("Error processing message: {}", e)
+                logger.info("Task cancelled for session {}", msg.session_key)
+                raise
+            except Exception:
+                logger.exception("Error processing message for session {}", msg.session_key)
                 await self.bus.publish_outbound(OutboundMessage(
-                        channel=msg.channel,
+                    channel=msg.channel, chat_id=msg.chat_id,
-                        chat_id=msg.chat_id,
+                    content="Sorry, I encountered an error.",
-                        content=f"Sorry, I encountered an error: {str(e)}"
                 ))
-            except asyncio.TimeoutError:
-                continue
 
     async def close_mcp(self) -> None:
         """Close MCP connections."""
@@ -285,13 +339,13 @@ class AgentLoop:
             key = f"{channel}:{chat_id}"
             session = self.sessions.get_or_create(key)
             self._set_tool_context(channel, chat_id, msg.metadata.get("message_id"))
+            history = session.get_history(max_messages=self.memory_window)
             messages = self.context.build_messages(
-                history=session.get_history(max_messages=self.memory_window),
+                history=history,
                 current_message=msg.content, channel=channel, chat_id=chat_id,
             )
-            final_content, _ = await self._run_agent_loop(messages)
+            final_content, _, all_msgs = await self._run_agent_loop(messages)
-            session.add_message("user", f"[System: {msg.sender_id}] {msg.content}")
+            self._save_turn(session, all_msgs, 1 + len(history))
-            session.add_message("assistant", final_content or "Background task completed.")
             self.sessions.save(session)
             return OutboundMessage(channel=channel, chat_id=chat_id,
                                   content=final_content or "Background task completed.")
@@ -305,80 +359,123 @@ class AgentLoop:
         # Slash commands
         cmd = msg.content.strip().lower()
         if cmd == "/new":
-            messages_to_archive = session.messages.copy()
+            lock = self._consolidation_locks.setdefault(session.key, asyncio.Lock())
-            session.clear()
-            self.sessions.save(session)
-            self.sessions.invalidate(session.key)
-
-            async def _consolidate_and_cleanup():
-                temp = Session(key=session.key)
-                temp.messages = messages_to_archive
-                await self._consolidate_memory(temp, archive_all=True)
-
-            asyncio.create_task(_consolidate_and_cleanup())
-            return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id,
-                                  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 and session.key not in self._consolidating:
             self._consolidating.add(session.key)
-
-            async def _consolidate_and_unlock():
             try:
-                    await self._consolidate_memory(session)
+                async with lock:
+                    snapshot = session.messages[session.last_consolidated:]
+                    if snapshot:
+                        temp = Session(key=session.key)
+                        temp.messages = list(snapshot)
+                        if not await self._consolidate_memory(temp, archive_all=True):
+                            return OutboundMessage(
+                                channel=msg.channel, chat_id=msg.chat_id,
+                                content="Memory archival failed, session not cleared. Please try again.",
+                            )
+            except Exception:
+                logger.exception("/new archival failed for {}", session.key)
+                return OutboundMessage(
+                    channel=msg.channel, chat_id=msg.chat_id,
+                    content="Memory archival failed, session not cleared. Please try again.",
+                )
             finally:
                 self._consolidating.discard(session.key)
 
-            asyncio.create_task(_consolidate_and_unlock())
+            session.clear()
+            self.sessions.save(session)
+            self.sessions.invalidate(session.key)
+            return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id,
+                                  content="New session started.")
+        if cmd == "/help":
+            return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id,
+                                  content="🐈 nanobot commands:\n/new — Start a new conversation\n/stop — Stop the current task\n/help — Show available commands")
+
+        unconsolidated = len(session.messages) - session.last_consolidated
+        if (unconsolidated >= self.memory_window and session.key not in self._consolidating):
+            self._consolidating.add(session.key)
+            lock = self._consolidation_locks.setdefault(session.key, asyncio.Lock())
+
+            async def _consolidate_and_unlock():
+                try:
+                    async with lock:
+                        await self._consolidate_memory(session)
+                finally:
+                    self._consolidating.discard(session.key)
+                    _task = asyncio.current_task()
+                    if _task is not None:
+                        self._consolidation_tasks.discard(_task)
+
+            _task = asyncio.create_task(_consolidate_and_unlock())
+            self._consolidation_tasks.add(_task)
 
         self._set_tool_context(msg.channel, msg.chat_id, msg.metadata.get("message_id"))
         if message_tool := self.tools.get("message"):
             if isinstance(message_tool, MessageTool):
                 message_tool.start_turn()
 
+        history = session.get_history(max_messages=self.memory_window)
         initial_messages = self.context.build_messages(
-            history=session.get_history(max_messages=self.memory_window),
+            history=history,
             current_message=msg.content,
             media=msg.media if msg.media else None,
             channel=msg.channel, chat_id=msg.chat_id,
         )
 
-        async def _bus_progress(content: str) -> None:
+        async def _bus_progress(content: str, *, tool_hint: bool = False) -> None:
             meta = dict(msg.metadata or {})
             meta["_progress"] = True
+            meta["_tool_hint"] = tool_hint
             await self.bus.publish_outbound(OutboundMessage(
                 channel=msg.channel, chat_id=msg.chat_id, content=content, metadata=meta,
             ))
 
-        final_content, tools_used = await self._run_agent_loop(
+        final_content, _, all_msgs = await self._run_agent_loop(
             initial_messages, on_progress=on_progress or _bus_progress,
         )
 
         if final_content is None:
             final_content = "I've completed processing but have no response to give."
 
-        preview = final_content[:120] + "..." if len(final_content) > 120 else final_content
+        self._save_turn(session, all_msgs, 1 + len(history))
-        logger.info("Response to {}:{}: {}", msg.channel, msg.sender_id, preview)
-
-        session.add_message("user", msg.content)
-        session.add_message("assistant", final_content,
-                            tools_used=tools_used if tools_used else None)
         self.sessions.save(session)
 
-        if message_tool := self.tools.get("message"):
+        if (mt := self.tools.get("message")) and isinstance(mt, MessageTool) and mt._sent_in_turn:
-            if isinstance(message_tool, MessageTool) and message_tool._sent_in_turn:
             return None
 
+        preview = final_content[:120] + "..." if len(final_content) > 120 else final_content
+        logger.info("Response to {}:{}: {}", msg.channel, msg.sender_id, preview)
         return OutboundMessage(
             channel=msg.channel, chat_id=msg.chat_id, content=final_content,
             metadata=msg.metadata or {},
         )
 
-    async def _consolidate_memory(self, session, archive_all: bool = False) -> None:
+    def _save_turn(self, session: Session, messages: list[dict], skip: int) -> None:
-        """Delegate to MemoryStore.consolidate()."""
+        """Save new-turn messages into session, truncating large tool results."""
-        await MemoryStore(self.workspace).consolidate(
+        from datetime import datetime
+        for m in messages[skip:]:
+            entry = dict(m)
+            role, content = entry.get("role"), entry.get("content")
+            if role == "assistant" and not content and not entry.get("tool_calls"):
+                continue  # skip empty assistant messages — they poison session context
+            if role == "tool" and isinstance(content, str) and len(content) > self._TOOL_RESULT_MAX_CHARS:
+                entry["content"] = content[:self._TOOL_RESULT_MAX_CHARS] + "\n... (truncated)"
+            elif role == "user":
+                if isinstance(content, str) and content.startswith(ContextBuilder._RUNTIME_CONTEXT_TAG):
+                    continue
+                if isinstance(content, list):
+                    entry["content"] = [
+                        {"type": "text", "text": "[image]"} if (
+                            c.get("type") == "image_url"
+                            and c.get("image_url", {}).get("url", "").startswith("data:image/")
+                        ) else c for c in content
+                    ]
+            entry.setdefault("timestamp", datetime.now().isoformat())
+            session.messages.append(entry)
+        session.updated_at = datetime.now()
+
+    async def _consolidate_memory(self, session, archive_all: bool = False) -> bool:
+        """Delegate to MemoryStore.consolidate(). Returns True on success."""
+        return await MemoryStore(self.workspace).consolidate(
             session, self.provider, self.model,
             archive_all=archive_all, memory_window=self.memory_window,
         )

nanobot/agent/memory.py

@@ -74,8 +74,11 @@ class MemoryStore:
         *,
         archive_all: bool = False,
         memory_window: int = 50,
-    ) -> None:
+    ) -> bool:
-        """Consolidate old messages into MEMORY.md + HISTORY.md via LLM tool call."""
+        """Consolidate old messages into MEMORY.md + HISTORY.md via LLM tool call.
+
+        Returns True on success (including no-op), False on failure.
+        """
         if archive_all:
             old_messages = session.messages
             keep_count = 0
@@ -83,12 +86,12 @@ class MemoryStore:
         else:
             keep_count = memory_window // 2
             if len(session.messages) <= keep_count:
-                return
+                return True
             if len(session.messages) - session.last_consolidated <= 0:
-                return
+                return True
             old_messages = session.messages[session.last_consolidated:-keep_count]
             if not old_messages:
-                return
+                return True
             logger.info("Memory consolidation: {} to consolidate, {} keep", len(old_messages), keep_count)
 
         lines = []
@@ -119,9 +122,16 @@ class MemoryStore:
 
             if not response.has_tool_calls:
                 logger.warning("Memory consolidation: LLM did not call save_memory, skipping")
-                return
+                return False
 
             args = response.tool_calls[0].arguments
+            # Some providers return arguments as a JSON string instead of dict
+            if isinstance(args, str):
+                args = json.loads(args)
+            if not isinstance(args, dict):
+                logger.warning("Memory consolidation: unexpected arguments type {}", type(args).__name__)
+                return False
+
             if entry := args.get("history_entry"):
                 if not isinstance(entry, str):
                     entry = json.dumps(entry, ensure_ascii=False)
@@ -134,5 +144,7 @@ class MemoryStore:
 
             session.last_consolidated = 0 if archive_all else len(session.messages) - keep_count
             logger.info("Memory consolidation done: {} messages, last_consolidated={}", len(session.messages), session.last_consolidated)
-        except Exception as e:
+            return True
-            logger.error("Memory consolidation failed: {}", e)
+        except Exception:
+            logger.exception("Memory consolidation failed")
+            return False

nanobot/agent/subagent.py

@@ -18,13 +18,7 @@ from nanobot.agent.tools.web import WebSearchTool, WebFetchTool
 
 
 class SubagentManager:
-    """
+    """Manages background subagent execution."""
-    Manages background subagent execution.
-    
-    Subagents are lightweight agent instances that run in the background
-    to handle specific tasks. They share the same LLM provider but have
-    isolated context and a focused system prompt.
-    """
     
     def __init__(
         self,
@@ -34,6 +28,7 @@ class SubagentManager:
         model: str | None = None,
         temperature: float = 0.7,
         max_tokens: int = 4096,
+        reasoning_effort: str | None = None,
         brave_api_key: str | None = None,
         exec_config: "ExecToolConfig | None" = None,
         restrict_to_workspace: bool = False,
@@ -45,10 +40,12 @@ class SubagentManager:
         self.model = model or provider.get_default_model()
         self.temperature = temperature
         self.max_tokens = max_tokens
+        self.reasoning_effort = reasoning_effort
         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]] = {}
+        self._session_tasks: dict[str, set[str]] = {}  # session_key -> {task_id, ...}
     
     async def spawn(
         self,
@@ -56,35 +53,28 @@ class SubagentManager:
         label: str | None = None,
         origin_channel: str = "cli",
         origin_chat_id: str = "direct",
+        session_key: str | None = None,
     ) -> str:
-        """
+        """Spawn a subagent to execute a task in the background."""
-        Spawn a subagent to execute a task in the background.
-        
-        Args:
-            task: The task description for the subagent.
-            label: Optional human-readable label for the task.
-            origin_channel: The channel to announce results to.
-            origin_chat_id: The chat ID to announce results to.
-        
-        Returns:
-            Status message indicating the subagent was started.
-        """
         task_id = str(uuid.uuid4())[:8]
         display_label = label or task[:30] + ("..." if len(task) > 30 else "")
+        origin = {"channel": origin_channel, "chat_id": origin_chat_id}
 
-        origin = {
-            "channel": origin_channel,
-            "chat_id": origin_chat_id,
-        }
-        
-        # Create background task
         bg_task = asyncio.create_task(
             self._run_subagent(task_id, task, display_label, origin)
         )
         self._running_tasks[task_id] = bg_task
+        if session_key:
+            self._session_tasks.setdefault(session_key, set()).add(task_id)
 
-        # Cleanup when done
+        def _cleanup(_: asyncio.Task) -> None:
-        bg_task.add_done_callback(lambda _: self._running_tasks.pop(task_id, None))
+            self._running_tasks.pop(task_id, None)
+            if session_key and (ids := self._session_tasks.get(session_key)):
+                ids.discard(task_id)
+                if not ids:
+                    del self._session_tasks[session_key]
+
+        bg_task.add_done_callback(_cleanup)
         
         logger.info("Spawned subagent [{}]: {}", task_id, display_label)
         return f"Subagent [{display_label}] started (id: {task_id}). I'll notify you when it completes."
@@ -111,12 +101,12 @@ class SubagentManager:
                 working_dir=str(self.workspace),
                 timeout=self.exec_config.timeout,
                 restrict_to_workspace=self.restrict_to_workspace,
+                path_append=self.exec_config.path_append,
             ))
             tools.register(WebSearchTool(api_key=self.brave_api_key))
             tools.register(WebFetchTool())
             
-            # Build messages with subagent-specific prompt
+            system_prompt = self._build_subagent_prompt()
-            system_prompt = self._build_subagent_prompt(task)
             messages: list[dict[str, Any]] = [
                 {"role": "system", "content": system_prompt},
                 {"role": "user", "content": task},
@@ -136,6 +126,7 @@ class SubagentManager:
                     model=self.model,
                     temperature=self.temperature,
                     max_tokens=self.max_tokens,
+                    reasoning_effort=self.reasoning_effort,
                 )
                 
                 if response.has_tool_calls:
@@ -215,42 +206,37 @@ Summarize this naturally for the user. Keep it brief (1-2 sentences). Do not men
         await self.bus.publish_inbound(msg)
         logger.debug("Subagent [{}] announced result to {}:{}", task_id, origin['channel'], origin['chat_id'])
     
-    def _build_subagent_prompt(self, task: str) -> str:
+    def _build_subagent_prompt(self) -> str:
         """Build a focused system prompt for the subagent."""
-        from datetime import datetime
+        from nanobot.agent.context import ContextBuilder
-        import time as _time
+        from nanobot.agent.skills import SkillsLoader
-        now = datetime.now().strftime("%Y-%m-%d %H:%M (%A)")
-        tz = _time.strftime("%Z") or "UTC"
 
-        return f"""# Subagent
+        time_ctx = ContextBuilder._build_runtime_context(None, None)
+        parts = [f"""# Subagent
 
-## Current Time
+{time_ctx}
-{now} ({tz})
 
 You are a subagent spawned by the main agent to complete a specific task.
-
+Stay focused on the assigned task. Your final response will be reported back to the main agent.
-## Rules
-1. Stay focused - complete only the assigned task, nothing else
-2. Your final response will be reported back to the main agent
-3. Do not initiate conversations or take on side tasks
-4. Be concise but informative in your findings
-
-## What You Can Do
-- Read and write files in the workspace
-- Execute shell commands
-- Search the web and fetch web pages
-- Complete the task thoroughly
-
-## What You Cannot Do
-- Send messages directly to users (no message tool available)
-- Spawn other subagents
-- Access the main agent's conversation history
 
 ## Workspace
-Your workspace is at: {self.workspace}
+{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."""
+        skills_summary = SkillsLoader(self.workspace).build_skills_summary()
+        if skills_summary:
+            parts.append(f"## Skills\n\nRead SKILL.md with read_file to use a skill.\n\n{skills_summary}")
+
+        return "\n\n".join(parts)
+    
+    async def cancel_by_session(self, session_key: str) -> int:
+        """Cancel all subagents for the given session. Returns count cancelled."""
+        tasks = [self._running_tasks[tid] for tid in self._session_tasks.get(session_key, [])
+                 if tid in self._running_tasks and not self._running_tasks[tid].done()]
+        for t in tasks:
+            t.cancel()
+        if tasks:
+            await asyncio.gather(*tasks, return_exceptions=True)
+        return len(tasks)
 
     def get_running_count(self) -> int:
         """Return the number of currently running subagents."""

nanobot/agent/tools/filesystem.py

@@ -13,7 +13,10 @@ def _resolve_path(path: str, workspace: Path | None = None, allowed_dir: Path |
     if not p.is_absolute() and workspace:
         p = workspace / p
     resolved = p.resolve()
-    if allowed_dir and not str(resolved).startswith(str(allowed_dir.resolve())):
+    if allowed_dir:
+        try:
+            resolved.relative_to(allowed_dir.resolve())
+        except ValueError:
             raise PermissionError(f"Path {path} is outside allowed directory {allowed_dir}")
     return resolved
 

nanobot/agent/tools/mcp.py

@@ -1,5 +1,6 @@
 """MCP client: connects to MCP servers and wraps their tools as native nanobot tools."""
 
+import asyncio
 from contextlib import AsyncExitStack
 from typing import Any
 
@@ -13,12 +14,13 @@ 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):
+    def __init__(self, session, server_name: str, tool_def, tool_timeout: int = 30):
         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": {}}
+        self._tool_timeout = tool_timeout
 
     @property
     def name(self) -> str:
@@ -34,7 +36,14 @@ class MCPToolWrapper(Tool):
 
     async def execute(self, **kwargs: Any) -> str:
         from mcp import types
-        result = await self._session.call_tool(self._original_name, arguments=kwargs)
+        try:
+            result = await asyncio.wait_for(
+                self._session.call_tool(self._original_name, arguments=kwargs),
+                timeout=self._tool_timeout,
+            )
+        except asyncio.TimeoutError:
+            logger.warning("MCP tool '{}' timed out after {}s", self._name, self._tool_timeout)
+            return f"(MCP tool call timed out after {self._tool_timeout}s)"
         parts = []
         for block in result.content:
             if isinstance(block, types.TextContent):
@@ -60,20 +69,18 @@ async def connect_mcp_servers(
                 read, write = await stack.enter_async_context(stdio_client(params))
             elif cfg.url:
                 from mcp.client.streamable_http import streamable_http_client
-                if cfg.headers:
+                # Always provide an explicit httpx client so MCP HTTP transport does not
+                # inherit httpx's default 5s timeout and preempt the higher-level tool timeout.
                 http_client = await stack.enter_async_context(
                     httpx.AsyncClient(
-                            headers=cfg.headers,
+                        headers=cfg.headers or None,
-                            follow_redirects=True
+                        follow_redirects=True,
+                        timeout=None,
                     )
                 )
                 read, write, _ = await stack.enter_async_context(
                     streamable_http_client(cfg.url, http_client=http_client)
                 )
-                else:
-                    read, write, _ = await stack.enter_async_context(
-                        streamable_http_client(cfg.url)
-                    )
             else:
                 logger.warning("MCP server '{}': no command or url configured, skipping", name)
                 continue
@@ -83,7 +90,7 @@ async def connect_mcp_servers(
 
             tools = await session.list_tools()
             for tool_def in tools.tools:
-                wrapper = MCPToolWrapper(session, name, tool_def)
+                wrapper = MCPToolWrapper(session, name, tool_def, tool_timeout=cfg.tool_timeout)
                 registry.register(wrapper)
                 logger.debug("MCP: registered tool '{}' from server '{}'", wrapper.name, name)
 

nanobot/agent/tools/message.py

@@ -101,6 +101,7 @@ class MessageTool(Tool):
 
         try:
             await self._send_callback(msg)
+            if channel == self._default_channel and chat_id == self._default_chat_id:
                 self._sent_in_turn = True
             media_info = f" with {len(media)} attachments" if media else ""
             return f"Message sent to {channel}:{chat_id}{media_info}"

nanobot/agent/tools/registry.py

@@ -36,30 +36,23 @@ class ToolRegistry:
         return [tool.to_schema() for tool in self._tools.values()]
     
     async def execute(self, name: str, params: dict[str, Any]) -> str:
-        """
+        """Execute a tool by name with given parameters."""
-        Execute a tool by name with given parameters.
+        _HINT = "\n\n[Analyze the error above and try a different approach.]"
 
-        Args:
-            name: Tool name.
-            params: Tool parameters.
-        
-        Returns:
-            Tool execution result as string.
-        
-        Raises:
-            KeyError: If tool not found.
-        """
         tool = self._tools.get(name)
         if not tool:
-            return f"Error: Tool '{name}' not found"
+            return f"Error: Tool '{name}' not found. Available: {', '.join(self.tool_names)}"
 
         try:
             errors = tool.validate_params(params)
             if errors:
-                return f"Error: Invalid parameters for tool '{name}': " + "; ".join(errors)
+                return f"Error: Invalid parameters for tool '{name}': " + "; ".join(errors) + _HINT
-            return await tool.execute(**params)
+            result = await tool.execute(**params)
+            if isinstance(result, str) and result.startswith("Error"):
+                return result + _HINT
+            return result
         except Exception as e:
-            return f"Error executing {name}: {str(e)}"
+            return f"Error executing {name}: {str(e)}" + _HINT
     
     @property
     def tool_names(self) -> list[str]:

nanobot/agent/tools/shell.py

@@ -19,6 +19,7 @@ class ExecTool(Tool):
         deny_patterns: list[str] | None = None,
         allow_patterns: list[str] | None = None,
         restrict_to_workspace: bool = False,
+        path_append: str = "",
     ):
         self.timeout = timeout
         self.working_dir = working_dir
@@ -35,6 +36,7 @@ class ExecTool(Tool):
         ]
         self.allow_patterns = allow_patterns or []
         self.restrict_to_workspace = restrict_to_workspace
+        self.path_append = path_append
     
     @property
     def name(self) -> str:
@@ -67,12 +69,17 @@ class ExecTool(Tool):
         if guard_error:
             return guard_error
         
+        env = os.environ.copy()
+        if self.path_append:
+            env["PATH"] = env.get("PATH", "") + os.pathsep + self.path_append
+
         try:
             process = await asyncio.create_subprocess_shell(
                 command,
                 stdout=asyncio.subprocess.PIPE,
                 stderr=asyncio.subprocess.PIPE,
                 cwd=cwd,
+                env=env,
             )
             
             try:
@@ -134,13 +141,7 @@ class ExecTool(Tool):
 
             cwd_path = Path(cwd).resolve()
 
-            win_paths = re.findall(r"[A-Za-z]:\\[^\\\"']+", cmd)
+            for raw in self._extract_absolute_paths(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.strip()).resolve()
                 except Exception:
@@ -149,3 +150,9 @@ class ExecTool(Tool):
                     return "Error: Command blocked by safety guard (path outside working dir)"
 
         return None
+
+    @staticmethod
+    def _extract_absolute_paths(command: str) -> list[str]:
+        win_paths = re.findall(r"[A-Za-z]:\\[^\s\"'|><;]+", command)   # Windows: C:\...
+        posix_paths = re.findall(r"(?:^|[\s|>])(/[^\s\"'>]+)", command) # POSIX: /absolute only
+        return win_paths + posix_paths

nanobot/agent/tools/spawn.py

@@ -9,22 +9,19 @@ if TYPE_CHECKING:
 
 
 class SpawnTool(Tool):
-    """
+    """Tool to spawn a subagent for background task execution."""
-    Tool to spawn a subagent for background task execution.
-    
-    The subagent runs asynchronously and announces its result back
-    to the main agent when complete.
-    """
     
     def __init__(self, manager: "SubagentManager"):
         self._manager = manager
         self._origin_channel = "cli"
         self._origin_chat_id = "direct"
+        self._session_key = "cli:direct"
     
     def set_context(self, channel: str, chat_id: str) -> None:
         """Set the origin context for subagent announcements."""
         self._origin_channel = channel
         self._origin_chat_id = chat_id
+        self._session_key = f"{channel}:{chat_id}"
     
     @property
     def name(self) -> str:
@@ -62,4 +59,5 @@ class SpawnTool(Tool):
             label=label,
             origin_channel=self._origin_channel,
             origin_chat_id=self._origin_chat_id,
+            session_key=self._session_key,
         )

nanobot/agent/tools/web.py

@@ -58,12 +58,21 @@ class WebSearchTool(Tool):
     }
     
     def __init__(self, api_key: str | None = None, max_results: int = 5):
-        self.api_key = api_key or os.environ.get("BRAVE_API_KEY", "")
+        self._init_api_key = api_key
         self.max_results = max_results
 
+    @property
+    def api_key(self) -> str:
+        """Resolve API key at call time so env/config changes are picked up."""
+        return self._init_api_key or os.environ.get("BRAVE_API_KEY", "")
+
     async def execute(self, query: str, count: int | None = None, **kwargs: Any) -> str:
         if not self.api_key:
-            return "Error: BRAVE_API_KEY not configured"
+            return (
+                "Error: Brave Search API key not configured. "
+                "Set it in ~/.nanobot/config.json under tools.web.search.apiKey "
+                "(or export BRAVE_API_KEY), then restart the gateway."
+            )
         
         try:
             n = min(max(count or self.max_results, 1), 10)

nanobot/bus/events.py

@@ -16,11 +16,12 @@ class InboundMessage:
     timestamp: datetime = field(default_factory=datetime.now)
     media: list[str] = field(default_factory=list)  # Media URLs
     metadata: dict[str, Any] = field(default_factory=dict)  # Channel-specific data
+    session_key_override: str | None = None  # Optional override for thread-scoped sessions
     
     @property
     def session_key(self) -> str:
         """Unique key for session identification."""
-        return f"{self.channel}:{self.chat_id}"
+        return self.session_key_override or f"{self.channel}:{self.chat_id}"
 
 
 @dataclass

nanobot/channels/base.py

@@ -89,7 +89,8 @@ class BaseChannel(ABC):
         chat_id: str,
         content: str,
         media: list[str] | None = None,
-        metadata: dict[str, Any] | None = None
+        metadata: dict[str, Any] | None = None,
+        session_key: str | None = None,
     ) -> None:
         """
         Handle an incoming message from the chat platform.
@@ -102,6 +103,7 @@ class BaseChannel(ABC):
             content: Message text content.
             media: Optional list of media URLs.
             metadata: Optional channel-specific metadata.
+            session_key: Optional session key override (e.g. thread-scoped sessions).
         """
         if not self.is_allowed(sender_id):
             logger.warning(
@@ -117,7 +119,8 @@ class BaseChannel(ABC):
             chat_id=str(chat_id),
             content=content,
             media=media or [],
-            metadata=metadata or {}
+            metadata=metadata or {},
+            session_key_override=session_key,
         )
         
         await self.bus.publish_inbound(msg)

nanobot/channels/dingtalk.py

@@ -2,8 +2,12 @@
 
 import asyncio
 import json
+import mimetypes
+import os
 import time
+from pathlib import Path
 from typing import Any
+from urllib.parse import unquote, urlparse
 
 from loguru import logger
 import httpx
@@ -96,6 +100,9 @@ class DingTalkChannel(BaseChannel):
     """
 
     name = "dingtalk"
+    _IMAGE_EXTS = {".jpg", ".jpeg", ".png", ".gif", ".bmp", ".webp"}
+    _AUDIO_EXTS = {".amr", ".mp3", ".wav", ".ogg", ".m4a", ".aac"}
+    _VIDEO_EXTS = {".mp4", ".mov", ".avi", ".mkv", ".webm"}
 
     def __init__(self, config: DingTalkConfig, bus: MessageBus):
         super().__init__(config, bus)
@@ -191,40 +198,224 @@ class DingTalkChannel(BaseChannel):
             logger.error("Failed to get DingTalk access token: {}", e)
             return None
 
+    @staticmethod
+    def _is_http_url(value: str) -> bool:
+        return urlparse(value).scheme in ("http", "https")
+
+    def _guess_upload_type(self, media_ref: str) -> str:
+        ext = Path(urlparse(media_ref).path).suffix.lower()
+        if ext in self._IMAGE_EXTS: return "image"
+        if ext in self._AUDIO_EXTS: return "voice"
+        if ext in self._VIDEO_EXTS: return "video"
+        return "file"
+
+    def _guess_filename(self, media_ref: str, upload_type: str) -> str:
+        name = os.path.basename(urlparse(media_ref).path)
+        return name or {"image": "image.jpg", "voice": "audio.amr", "video": "video.mp4"}.get(upload_type, "file.bin")
+
+    async def _read_media_bytes(
+        self,
+        media_ref: str,
+    ) -> tuple[bytes | None, str | None, str | None]:
+        if not media_ref:
+            return None, None, None
+
+        if self._is_http_url(media_ref):
+            if not self._http:
+                return None, None, None
+            try:
+                resp = await self._http.get(media_ref, follow_redirects=True)
+                if resp.status_code >= 400:
+                    logger.warning(
+                        "DingTalk media download failed status={} ref={}",
+                        resp.status_code,
+                        media_ref,
+                    )
+                    return None, None, None
+                content_type = (resp.headers.get("content-type") or "").split(";")[0].strip()
+                filename = self._guess_filename(media_ref, self._guess_upload_type(media_ref))
+                return resp.content, filename, content_type or None
+            except Exception as e:
+                logger.error("DingTalk media download error ref={} err={}", media_ref, e)
+                return None, None, None
+
+        try:
+            if media_ref.startswith("file://"):
+                parsed = urlparse(media_ref)
+                local_path = Path(unquote(parsed.path))
+            else:
+                local_path = Path(os.path.expanduser(media_ref))
+            if not local_path.is_file():
+                logger.warning("DingTalk media file not found: {}", local_path)
+                return None, None, None
+            data = await asyncio.to_thread(local_path.read_bytes)
+            content_type = mimetypes.guess_type(local_path.name)[0]
+            return data, local_path.name, content_type
+        except Exception as e:
+            logger.error("DingTalk media read error ref={} err={}", media_ref, e)
+            return None, None, None
+
+    async def _upload_media(
+        self,
+        token: str,
+        data: bytes,
+        media_type: str,
+        filename: str,
+        content_type: str | None,
+    ) -> str | None:
+        if not self._http:
+            return None
+        url = f"https://oapi.dingtalk.com/media/upload?access_token={token}&type={media_type}"
+        mime = content_type or mimetypes.guess_type(filename)[0] or "application/octet-stream"
+        files = {"media": (filename, data, mime)}
+
+        try:
+            resp = await self._http.post(url, files=files)
+            text = resp.text
+            result = resp.json() if resp.headers.get("content-type", "").startswith("application/json") else {}
+            if resp.status_code >= 400:
+                logger.error("DingTalk media upload failed status={} type={} body={}", resp.status_code, media_type, text[:500])
+                return None
+            errcode = result.get("errcode", 0)
+            if errcode != 0:
+                logger.error("DingTalk media upload api error type={} errcode={} body={}", media_type, errcode, text[:500])
+                return None
+            sub = result.get("result") or {}
+            media_id = result.get("media_id") or result.get("mediaId") or sub.get("media_id") or sub.get("mediaId")
+            if not media_id:
+                logger.error("DingTalk media upload missing media_id body={}", text[:500])
+                return None
+            return str(media_id)
+        except Exception as e:
+            logger.error("DingTalk media upload error type={} err={}", media_type, e)
+            return None
+
+    async def _send_batch_message(
+        self,
+        token: str,
+        chat_id: str,
+        msg_key: str,
+        msg_param: dict[str, Any],
+    ) -> bool:
+        if not self._http:
+            logger.warning("DingTalk HTTP client not initialized, cannot send")
+            return False
+
+        url = "https://api.dingtalk.com/v1.0/robot/oToMessages/batchSend"
+        headers = {"x-acs-dingtalk-access-token": token}
+        payload = {
+            "robotCode": self.config.client_id,
+            "userIds": [chat_id],
+            "msgKey": msg_key,
+            "msgParam": json.dumps(msg_param, ensure_ascii=False),
+        }
+
+        try:
+            resp = await self._http.post(url, json=payload, headers=headers)
+            body = resp.text
+            if resp.status_code != 200:
+                logger.error("DingTalk send failed msgKey={} status={} body={}", msg_key, resp.status_code, body[:500])
+                return False
+            try: result = resp.json()
+            except Exception: result = {}
+            errcode = result.get("errcode")
+            if errcode not in (None, 0):
+                logger.error("DingTalk send api error msgKey={} errcode={} body={}", msg_key, errcode, body[:500])
+                return False
+            logger.debug("DingTalk message sent to {} with msgKey={}", chat_id, msg_key)
+            return True
+        except Exception as e:
+            logger.error("Error sending DingTalk message msgKey={} err={}", msg_key, e)
+            return False
+
+    async def _send_markdown_text(self, token: str, chat_id: str, content: str) -> bool:
+        return await self._send_batch_message(
+            token,
+            chat_id,
+            "sampleMarkdown",
+            {"text": content, "title": "Nanobot Reply"},
+        )
+
+    async def _send_media_ref(self, token: str, chat_id: str, media_ref: str) -> bool:
+        media_ref = (media_ref or "").strip()
+        if not media_ref:
+            return True
+
+        upload_type = self._guess_upload_type(media_ref)
+        if upload_type == "image" and self._is_http_url(media_ref):
+            ok = await self._send_batch_message(
+                token,
+                chat_id,
+                "sampleImageMsg",
+                {"photoURL": media_ref},
+            )
+            if ok:
+                return True
+            logger.warning("DingTalk image url send failed, trying upload fallback: {}", media_ref)
+
+        data, filename, content_type = await self._read_media_bytes(media_ref)
+        if not data:
+            logger.error("DingTalk media read failed: {}", media_ref)
+            return False
+
+        filename = filename or self._guess_filename(media_ref, upload_type)
+        file_type = Path(filename).suffix.lower().lstrip(".")
+        if not file_type:
+            guessed = mimetypes.guess_extension(content_type or "")
+            file_type = (guessed or ".bin").lstrip(".")
+        if file_type == "jpeg":
+            file_type = "jpg"
+
+        media_id = await self._upload_media(
+            token=token,
+            data=data,
+            media_type=upload_type,
+            filename=filename,
+            content_type=content_type,
+        )
+        if not media_id:
+            return False
+
+        if upload_type == "image":
+            # Verified in production: sampleImageMsg accepts media_id in photoURL.
+            ok = await self._send_batch_message(
+                token,
+                chat_id,
+                "sampleImageMsg",
+                {"photoURL": media_id},
+            )
+            if ok:
+                return True
+            logger.warning("DingTalk image media_id send failed, falling back to file: {}", media_ref)
+
+        return await self._send_batch_message(
+            token,
+            chat_id,
+            "sampleFile",
+            {"mediaId": media_id, "fileName": filename, "fileType": file_type},
+        )
+
     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)
+        if msg.content and msg.content.strip():
-        # https://open.dingtalk.com/document/orgapp/robot-batch-send-messages
+            await self._send_markdown_text(token, msg.chat_id, msg.content.strip())
-        url = "https://api.dingtalk.com/v1.0/robot/oToMessages/batchSend"
 
-        headers = {"x-acs-dingtalk-access-token": token}
+        for media_ref in msg.media or []:
-
+            ok = await self._send_media_ref(token, msg.chat_id, media_ref)
-        data = {
+            if ok:
-            "robotCode": self.config.client_id,
+                continue
-            "userIds": [msg.chat_id],  # chat_id is the user's staffId
+            logger.error("DingTalk media send failed for {}", media_ref)
-            "msgKey": "sampleMarkdown",
+            # Send visible fallback so failures are observable by the user.
-            "msgParam": json.dumps({
+            filename = self._guess_filename(media_ref, self._guess_upload_type(media_ref))
-                "text": msg.content,
+            await self._send_markdown_text(
-                "title": "Nanobot Reply",
+                token,
-            }, ensure_ascii=False),
+                msg.chat_id,
-        }
+                f"[Attachment send failed: {filename}]",
-
+            )
-        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("DingTalk send failed: {}", resp.text)
-            else:
-                logger.debug("DingTalk message sent to {}", msg.chat_id)
-        except Exception as e:
-            logger.error("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).

nanobot/channels/discord.py

@@ -285,8 +285,11 @@ class DiscordChannel(BaseChannel):
             while self._running:
                 try:
                     await self._http.post(url, headers=headers)
-                except Exception:
+                except asyncio.CancelledError:
-                    pass
+                    return
+                except Exception as e:
+                    logger.debug("Discord typing indicator failed for {}: {}", channel_id, e)
+                    return
                 await asyncio.sleep(8)
 
         self._typing_tasks[channel_id] = asyncio.create_task(typing_loop())

nanobot/channels/email.py

@@ -108,11 +108,6 @@ class EmailChannel(BaseChannel):
             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
@@ -122,6 +117,15 @@ class EmailChannel(BaseChannel):
             logger.warning("Email channel missing recipient address")
             return
 
+        # Determine if this is a reply (recipient has sent us an email before)
+        is_reply = to_addr in self._last_subject_by_chat
+        force_send = bool((msg.metadata or {}).get("force_send"))
+
+        # autoReplyEnabled only controls automatic replies, not proactive sends
+        if is_reply and not self.config.auto_reply_enabled and not force_send:
+            logger.info("Skip automatic email reply to {}: auto_reply_enabled is false", to_addr)
+            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):
@@ -304,7 +308,8 @@ class EmailChannel(BaseChannel):
                     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()
+                        # Evict a random half to cap memory; mark_seen is the primary dedup
+                        self._processed_uids = set(list(self._processed_uids)[len(self._processed_uids) // 2:])
 
                 if mark_seen:
                     client.store(imap_id, "+FLAGS", "\\Seen")

nanobot/channels/feishu.py

@@ -89,7 +89,8 @@ def _extract_interactive_content(content: dict) -> list[str]:
         elif isinstance(title, str):
             parts.append(f"title: {title}")
 
-    for element in content.get("elements", []) if isinstance(content.get("elements"), list) else []:
+    for elements in content.get("elements", []) if isinstance(content.get("elements"), list) else []:
+        for element in elements:
             parts.extend(_extract_element_content(element))
 
     card = content.get("card", {})
@@ -180,21 +181,25 @@ def _extract_element_content(element: dict) -> list[str]:
     return parts
 
 
-def _extract_post_text(content_json: dict) -> str:
+def _extract_post_content(content_json: dict) -> tuple[str, list[str]]:
-    """Extract plain text from Feishu post (rich text) message content.
+    """Extract text and image keys from Feishu post (rich text) message content.
     
     Supports two formats:
     1. Direct format: {"title": "...", "content": [...]}
     2. Localized format: {"zh_cn": {"title": "...", "content": [...]}}
+    
+    Returns:
+        (text, image_keys) - extracted text and list of image keys
     """
-    def extract_from_lang(lang_content: dict) -> str | None:
+    def extract_from_lang(lang_content: dict) -> tuple[str | None, list[str]]:
         if not isinstance(lang_content, dict):
-            return None
+            return None, []
         title = lang_content.get("title", "")
         content_blocks = lang_content.get("content", [])
         if not isinstance(content_blocks, list):
-            return None
+            return None, []
         text_parts = []
+        image_keys = []
         if title:
             text_parts.append(title)
         for block in content_blocks:
@@ -209,22 +214,36 @@ def _extract_post_text(content_json: dict) -> str:
                         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
+                    elif tag == "img":
+                        img_key = element.get("image_key")
+                        if img_key:
+                            image_keys.append(img_key)
+        text = " ".join(text_parts).strip() if text_parts else None
+        return text, image_keys
     
     # Try direct format first
     if "content" in content_json:
-        result = extract_from_lang(content_json)
+        text, images = extract_from_lang(content_json)
-        if result:
+        if text or images:
-            return result
+            return text or "", images
     
     # 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)
+        text, images = extract_from_lang(lang_content)
-        if result:
+        if text or images:
-            return result
+            return text or "", images
     
-    return ""
+    return "", []
+
+
+def _extract_post_text(content_json: dict) -> str:
+    """Extract plain text from Feishu post (rich text) message content.
+    
+    Legacy wrapper for _extract_post_content, returns only text.
+    """
+    text, _ = _extract_post_content(content_json)
+    return text
 
 
 class FeishuChannel(BaseChannel):
@@ -307,13 +326,14 @@ class FeishuChannel(BaseChannel):
             await asyncio.sleep(1)
     
     async def stop(self) -> None:
-        """Stop the Feishu bot."""
+        """
+        Stop the Feishu bot.
+
+        Notice: lark.ws.Client does not expose stop method， simply exiting the program will close the client.
+
+        Reference: https://github.com/larksuite/oapi-sdk-python/blob/v2_main/lark_oapi/ws/client.py#L86
+        """
         self._running = False
-        if self._ws_client:
-            try:
-                self._ws_client.stop()
-            except Exception as e:
-                logger.warning("Error stopping WebSocket client: {}", e)
         logger.info("Feishu bot stopped")
     
     def _add_reaction_sync(self, message_id: str, emoji_type: str) -> None:
@@ -503,18 +523,29 @@ class FeishuChannel(BaseChannel):
             logger.error("Error downloading image {}: {}", image_key, e)
             return None, None
 
-    def _download_file_sync(self, file_key: str) -> tuple[bytes | None, str | None]:
+    def _download_file_sync(
-        """Download a file from Feishu by file_key."""
+        self, message_id: str, file_key: str, resource_type: str = "file"
+    ) -> tuple[bytes | None, str | None]:
+        """Download a file/audio/media from a Feishu message by message_id and file_key."""
         try:
-            request = GetFileRequest.builder().file_key(file_key).build()
+            request = (
-            response = self._client.im.v1.file.get(request)
+                GetMessageResourceRequest.builder()
+                .message_id(message_id)
+                .file_key(file_key)
+                .type(resource_type)
+                .build()
+            )
+            response = self._client.im.v1.message_resource.get(request)
             if response.success():
-                return response.file, response.file_name
+                file_data = response.file
+                if hasattr(file_data, "read"):
+                    file_data = file_data.read()
+                return file_data, response.file_name
             else:
-                logger.error("Failed to download file: code={}, msg={}", response.code, response.msg)
+                logger.error("Failed to download {}: code={}, msg={}", resource_type, response.code, response.msg)
                 return None, None
-        except Exception as e:
+        except Exception:
-            logger.error("Error downloading file {}: {}", file_key, e)
+            logger.exception("Error downloading {} {}", resource_type, file_key)
             return None, None
 
     async def _download_and_save_media(
@@ -544,14 +575,14 @@ class FeishuChannel(BaseChannel):
                 if not filename:
                     filename = f"{image_key[:16]}.jpg"
 
-        elif msg_type in ("audio", "file"):
+        elif msg_type in ("audio", "file", "media"):
             file_key = content_json.get("file_key")
-            if file_key:
+            if file_key and message_id:
                 data, filename = await loop.run_in_executor(
-                    None, self._download_file_sync, file_key
+                    None, self._download_file_sync, message_id, file_key, msg_type
                 )
                 if not filename:
-                    ext = ".opus" if msg_type == "audio" else ""
+                    ext = {"audio": ".opus", "media": ".mp4"}.get(msg_type, "")
                     filename = f"{file_key[:16]}{ext}"
 
         if data and filename:
@@ -663,7 +694,7 @@ class FeishuChannel(BaseChannel):
             msg_type = message.message_type
 
             # Add reaction
-            await self._add_reaction(message_id, "THUMBSUP")
+            await self._add_reaction(message_id, self.config.react_emoji)
 
             # Parse content
             content_parts = []
@@ -680,11 +711,19 @@ class FeishuChannel(BaseChannel):
                     content_parts.append(text)
 
             elif msg_type == "post":
-                text = _extract_post_text(content_json)
+                text, image_keys = _extract_post_content(content_json)
                 if text:
                     content_parts.append(text)
+                # Download images embedded in post
+                for img_key in image_keys:
+                    file_path, content_text = await self._download_and_save_media(
+                        "image", {"image_key": img_key}, message_id
+                    )
+                    if file_path:
+                        media_paths.append(file_path)
+                    content_parts.append(content_text)
 
-            elif msg_type in ("image", "audio", "file"):
+            elif msg_type in ("image", "audio", "file", "media"):
                 file_path, content_text = await self._download_and_save_media(msg_type, content_json, message_id)
                 if file_path:
                     media_paths.append(file_path)

nanobot/channels/manager.py

@@ -137,6 +137,18 @@ class ChannelManager:
             except ImportError as e:
                 logger.warning("QQ channel not available: {}", e)
         
+        # Matrix channel
+        if self.config.channels.matrix.enabled:
+            try:
+                from nanobot.channels.matrix import MatrixChannel
+                self.channels["matrix"] = MatrixChannel(
+                    self.config.channels.matrix,
+                    self.bus,
+                )
+                logger.info("Matrix channel enabled")
+            except ImportError as e:
+                logger.warning("Matrix channel not available: {}", e)
+    
     async def _start_channel(self, name: str, channel: BaseChannel) -> None:
         """Start a channel and log any exceptions."""
         try:
@@ -193,6 +205,12 @@ class ChannelManager:
                     timeout=1.0
                 )
                 
+                if msg.metadata.get("_progress"):
+                    if msg.metadata.get("_tool_hint") and not self.config.channels.send_tool_hints:
+                        continue
+                    if not msg.metadata.get("_tool_hint") and not self.config.channels.send_progress:
+                        continue
+                
                 channel = self.channels.get(msg.channel)
                 if channel:
                     try:

nanobot/channels/matrix.py

@@ -0,0 +1,682 @@
+"""Matrix (Element) channel — inbound sync + outbound message/media delivery."""
+
+import asyncio
+import logging
+import mimetypes
+from pathlib import Path
+from typing import Any, TypeAlias
+
+from loguru import logger
+
+try:
+    import nh3
+    from mistune import create_markdown
+    from nio import (
+        AsyncClient, AsyncClientConfig, ContentRepositoryConfigError,
+        DownloadError, InviteEvent, JoinError, MatrixRoom, MemoryDownloadResponse,
+        RoomEncryptedMedia, RoomMessage, RoomMessageMedia, RoomMessageText,
+        RoomSendError, RoomTypingError, SyncError, UploadError,
+    )
+    from nio.crypto.attachments import decrypt_attachment
+    from nio.exceptions import EncryptionError
+except ImportError as e:
+    raise ImportError(
+        "Matrix dependencies not installed. Run: pip install nanobot-ai[matrix]"
+    ) from e
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.channels.base import BaseChannel
+from nanobot.config.loader import get_data_dir
+from nanobot.utils.helpers import safe_filename
+
+TYPING_NOTICE_TIMEOUT_MS = 30_000
+# Must stay below TYPING_NOTICE_TIMEOUT_MS so the indicator doesn't expire mid-processing.
+TYPING_KEEPALIVE_INTERVAL_MS = 20_000
+MATRIX_HTML_FORMAT = "org.matrix.custom.html"
+_ATTACH_MARKER = "[attachment: {}]"
+_ATTACH_TOO_LARGE = "[attachment: {} - too large]"
+_ATTACH_FAILED = "[attachment: {} - download failed]"
+_ATTACH_UPLOAD_FAILED = "[attachment: {} - upload failed]"
+_DEFAULT_ATTACH_NAME = "attachment"
+_MSGTYPE_MAP = {"m.image": "image", "m.audio": "audio", "m.video": "video", "m.file": "file"}
+
+MATRIX_MEDIA_EVENT_FILTER = (RoomMessageMedia, RoomEncryptedMedia)
+MatrixMediaEvent: TypeAlias = RoomMessageMedia | RoomEncryptedMedia
+
+MATRIX_MARKDOWN = create_markdown(
+    escape=True,
+    plugins=["table", "strikethrough", "url", "superscript", "subscript"],
+)
+
+MATRIX_ALLOWED_HTML_TAGS = {
+    "p", "a", "strong", "em", "del", "code", "pre", "blockquote",
+    "ul", "ol", "li", "h1", "h2", "h3", "h4", "h5", "h6",
+    "hr", "br", "table", "thead", "tbody", "tr", "th", "td",
+    "caption", "sup", "sub", "img",
+}
+MATRIX_ALLOWED_HTML_ATTRIBUTES: dict[str, set[str]] = {
+    "a": {"href"}, "code": {"class"}, "ol": {"start"},
+    "img": {"src", "alt", "title", "width", "height"},
+}
+MATRIX_ALLOWED_URL_SCHEMES = {"https", "http", "matrix", "mailto", "mxc"}
+
+
+def _filter_matrix_html_attribute(tag: str, attr: str, value: str) -> str | None:
+    """Filter attribute values to a safe Matrix-compatible subset."""
+    if tag == "a" and attr == "href":
+        return value if value.lower().startswith(("https://", "http://", "matrix:", "mailto:")) else None
+    if tag == "img" and attr == "src":
+        return value if value.lower().startswith("mxc://") else None
+    if tag == "code" and attr == "class":
+        classes = [c for c in value.split() if c.startswith("language-") and not c.startswith("language-_")]
+        return " ".join(classes) if classes else None
+    return value
+
+
+MATRIX_HTML_CLEANER = nh3.Cleaner(
+    tags=MATRIX_ALLOWED_HTML_TAGS,
+    attributes=MATRIX_ALLOWED_HTML_ATTRIBUTES,
+    attribute_filter=_filter_matrix_html_attribute,
+    url_schemes=MATRIX_ALLOWED_URL_SCHEMES,
+    strip_comments=True,
+    link_rel="noopener noreferrer",
+)
+
+
+def _render_markdown_html(text: str) -> str | None:
+    """Render markdown to sanitized HTML; returns None for plain text."""
+    try:
+        formatted = MATRIX_HTML_CLEANER.clean(MATRIX_MARKDOWN(text)).strip()
+    except Exception:
+        return None
+    if not formatted:
+        return None
+    # Skip formatted_body for plain <p>text</p> to keep payload minimal.
+    if formatted.startswith("<p>") and formatted.endswith("</p>"):
+        inner = formatted[3:-4]
+        if "<" not in inner and ">" not in inner:
+            return None
+    return formatted
+
+
+def _build_matrix_text_content(text: str) -> dict[str, object]:
+    """Build Matrix m.text payload with optional HTML formatted_body."""
+    content: dict[str, object] = {"msgtype": "m.text", "body": text, "m.mentions": {}}
+    if html := _render_markdown_html(text):
+        content["format"] = MATRIX_HTML_FORMAT
+        content["formatted_body"] = html
+    return content
+
+
+class _NioLoguruHandler(logging.Handler):
+    """Route matrix-nio stdlib logs into Loguru."""
+
+    def emit(self, record: logging.LogRecord) -> None:
+        try:
+            level = logger.level(record.levelname).name
+        except ValueError:
+            level = record.levelno
+        frame, depth = logging.currentframe(), 2
+        while frame and frame.f_code.co_filename == logging.__file__:
+            frame, depth = frame.f_back, depth + 1
+        logger.opt(depth=depth, exception=record.exc_info).log(level, record.getMessage())
+
+
+def _configure_nio_logging_bridge() -> None:
+    """Bridge matrix-nio logs to Loguru (idempotent)."""
+    nio_logger = logging.getLogger("nio")
+    if not any(isinstance(h, _NioLoguruHandler) for h in nio_logger.handlers):
+        nio_logger.handlers = [_NioLoguruHandler()]
+        nio_logger.propagate = False
+
+
+class MatrixChannel(BaseChannel):
+    """Matrix (Element) channel using long-polling sync."""
+
+    name = "matrix"
+
+    def __init__(self, config: Any, bus, *, restrict_to_workspace: bool = False,
+                 workspace: Path | None = None):
+        super().__init__(config, bus)
+        self.client: AsyncClient | None = None
+        self._sync_task: asyncio.Task | None = None
+        self._typing_tasks: dict[str, asyncio.Task] = {}
+        self._restrict_to_workspace = restrict_to_workspace
+        self._workspace = workspace.expanduser().resolve() if workspace else None
+        self._server_upload_limit_bytes: int | None = None
+        self._server_upload_limit_checked = False
+
+    async def start(self) -> None:
+        """Start Matrix client and begin sync loop."""
+        self._running = True
+        _configure_nio_logging_bridge()
+
+        store_path = get_data_dir() / "matrix-store"
+        store_path.mkdir(parents=True, exist_ok=True)
+
+        self.client = AsyncClient(
+            homeserver=self.config.homeserver, user=self.config.user_id,
+            store_path=store_path,
+            config=AsyncClientConfig(store_sync_tokens=True, encryption_enabled=self.config.e2ee_enabled),
+        )
+        self.client.user_id = self.config.user_id
+        self.client.access_token = self.config.access_token
+        self.client.device_id = self.config.device_id
+
+        self._register_event_callbacks()
+        self._register_response_callbacks()
+
+        if not self.config.e2ee_enabled:
+            logger.warning("Matrix E2EE disabled; encrypted rooms may be undecryptable.")
+
+        if self.config.device_id:
+            try:
+                self.client.load_store()
+            except Exception:
+                logger.exception("Matrix store load failed; restart may replay recent messages.")
+        else:
+            logger.warning("Matrix device_id empty; restart may replay recent messages.")
+
+        self._sync_task = asyncio.create_task(self._sync_loop())
+
+    async def stop(self) -> None:
+        """Stop the Matrix channel with graceful sync shutdown."""
+        self._running = False
+        for room_id in list(self._typing_tasks):
+            await self._stop_typing_keepalive(room_id, clear_typing=False)
+        if self.client:
+            self.client.stop_sync_forever()
+        if self._sync_task:
+            try:
+                await asyncio.wait_for(asyncio.shield(self._sync_task),
+                                       timeout=self.config.sync_stop_grace_seconds)
+            except (asyncio.TimeoutError, asyncio.CancelledError):
+                self._sync_task.cancel()
+                try:
+                    await self._sync_task
+                except asyncio.CancelledError:
+                    pass
+        if self.client:
+            await self.client.close()
+
+    def _is_workspace_path_allowed(self, path: Path) -> bool:
+        """Check path is inside workspace (when restriction enabled)."""
+        if not self._restrict_to_workspace or not self._workspace:
+            return True
+        try:
+            path.resolve(strict=False).relative_to(self._workspace)
+            return True
+        except ValueError:
+            return False
+
+    def _collect_outbound_media_candidates(self, media: list[str]) -> list[Path]:
+        """Deduplicate and resolve outbound attachment paths."""
+        seen: set[str] = set()
+        candidates: list[Path] = []
+        for raw in media:
+            if not isinstance(raw, str) or not raw.strip():
+                continue
+            path = Path(raw.strip()).expanduser()
+            try:
+                key = str(path.resolve(strict=False))
+            except OSError:
+                key = str(path)
+            if key not in seen:
+                seen.add(key)
+                candidates.append(path)
+        return candidates
+
+    @staticmethod
+    def _build_outbound_attachment_content(
+        *, filename: str, mime: str, size_bytes: int,
+        mxc_url: str, encryption_info: dict[str, Any] | None = None,
+    ) -> dict[str, Any]:
+        """Build Matrix content payload for an uploaded file/image/audio/video."""
+        prefix = mime.split("/")[0]
+        msgtype = {"image": "m.image", "audio": "m.audio", "video": "m.video"}.get(prefix, "m.file")
+        content: dict[str, Any] = {
+            "msgtype": msgtype, "body": filename, "filename": filename,
+            "info": {"mimetype": mime, "size": size_bytes}, "m.mentions": {},
+        }
+        if encryption_info:
+            content["file"] = {**encryption_info, "url": mxc_url}
+        else:
+            content["url"] = mxc_url
+        return content
+
+    def _is_encrypted_room(self, room_id: str) -> bool:
+        if not self.client:
+            return False
+        room = getattr(self.client, "rooms", {}).get(room_id)
+        return bool(getattr(room, "encrypted", False))
+
+    async def _send_room_content(self, room_id: str, content: dict[str, Any]) -> None:
+        """Send m.room.message with E2EE options."""
+        if not self.client:
+            return
+        kwargs: dict[str, Any] = {"room_id": room_id, "message_type": "m.room.message", "content": content}
+        if self.config.e2ee_enabled:
+            kwargs["ignore_unverified_devices"] = True
+        await self.client.room_send(**kwargs)
+
+    async def _resolve_server_upload_limit_bytes(self) -> int | None:
+        """Query homeserver upload limit once per channel lifecycle."""
+        if self._server_upload_limit_checked:
+            return self._server_upload_limit_bytes
+        self._server_upload_limit_checked = True
+        if not self.client:
+            return None
+        try:
+            response = await self.client.content_repository_config()
+        except Exception:
+            return None
+        upload_size = getattr(response, "upload_size", None)
+        if isinstance(upload_size, int) and upload_size > 0:
+            self._server_upload_limit_bytes = upload_size
+            return upload_size
+        return None
+
+    async def _effective_media_limit_bytes(self) -> int:
+        """min(local config, server advertised) — 0 blocks all uploads."""
+        local_limit = max(int(self.config.max_media_bytes), 0)
+        server_limit = await self._resolve_server_upload_limit_bytes()
+        if server_limit is None:
+            return local_limit
+        return min(local_limit, server_limit) if local_limit else 0
+
+    async def _upload_and_send_attachment(
+        self, room_id: str, path: Path, limit_bytes: int,
+        relates_to: dict[str, Any] | None = None,
+    ) -> str | None:
+        """Upload one local file to Matrix and send it as a media message. Returns failure marker or None."""
+        if not self.client:
+            return _ATTACH_UPLOAD_FAILED.format(path.name or _DEFAULT_ATTACH_NAME)
+
+        resolved = path.expanduser().resolve(strict=False)
+        filename = safe_filename(resolved.name) or _DEFAULT_ATTACH_NAME
+        fail = _ATTACH_UPLOAD_FAILED.format(filename)
+
+        if not resolved.is_file() or not self._is_workspace_path_allowed(resolved):
+            return fail
+        try:
+            size_bytes = resolved.stat().st_size
+        except OSError:
+            return fail
+        if limit_bytes <= 0 or size_bytes > limit_bytes:
+            return _ATTACH_TOO_LARGE.format(filename)
+
+        mime = mimetypes.guess_type(filename, strict=False)[0] or "application/octet-stream"
+        try:
+            with resolved.open("rb") as f:
+                upload_result = await self.client.upload(
+                    f, content_type=mime, filename=filename,
+                    encrypt=self.config.e2ee_enabled and self._is_encrypted_room(room_id),
+                    filesize=size_bytes,
+                )
+        except Exception:
+            return fail
+
+        upload_response = upload_result[0] if isinstance(upload_result, tuple) else upload_result
+        encryption_info = upload_result[1] if isinstance(upload_result, tuple) and isinstance(upload_result[1], dict) else None
+        if isinstance(upload_response, UploadError):
+            return fail
+        mxc_url = getattr(upload_response, "content_uri", None)
+        if not isinstance(mxc_url, str) or not mxc_url.startswith("mxc://"):
+            return fail
+
+        content = self._build_outbound_attachment_content(
+            filename=filename, mime=mime, size_bytes=size_bytes,
+            mxc_url=mxc_url, encryption_info=encryption_info,
+        )
+        if relates_to:
+            content["m.relates_to"] = relates_to
+        try:
+            await self._send_room_content(room_id, content)
+        except Exception:
+            return fail
+        return None
+
+    async def send(self, msg: OutboundMessage) -> None:
+        """Send outbound content; clear typing for non-progress messages."""
+        if not self.client:
+            return
+        text = msg.content or ""
+        candidates = self._collect_outbound_media_candidates(msg.media)
+        relates_to = self._build_thread_relates_to(msg.metadata)
+        is_progress = bool((msg.metadata or {}).get("_progress"))
+        try:
+            failures: list[str] = []
+            if candidates:
+                limit_bytes = await self._effective_media_limit_bytes()
+                for path in candidates:
+                    if fail := await self._upload_and_send_attachment(
+                        msg.chat_id, path, limit_bytes, relates_to):
+                        failures.append(fail)
+            if failures:
+                text = f"{text.rstrip()}\n{chr(10).join(failures)}" if text.strip() else "\n".join(failures)
+            if text or not candidates:
+                content = _build_matrix_text_content(text)
+                if relates_to:
+                    content["m.relates_to"] = relates_to
+                await self._send_room_content(msg.chat_id, content)
+        finally:
+            if not is_progress:
+                await self._stop_typing_keepalive(msg.chat_id, clear_typing=True)
+
+    def _register_event_callbacks(self) -> None:
+        self.client.add_event_callback(self._on_message, RoomMessageText)
+        self.client.add_event_callback(self._on_media_message, MATRIX_MEDIA_EVENT_FILTER)
+        self.client.add_event_callback(self._on_room_invite, InviteEvent)
+
+    def _register_response_callbacks(self) -> None:
+        self.client.add_response_callback(self._on_sync_error, SyncError)
+        self.client.add_response_callback(self._on_join_error, JoinError)
+        self.client.add_response_callback(self._on_send_error, RoomSendError)
+
+    def _log_response_error(self, label: str, response: Any) -> None:
+        """Log Matrix response errors — auth errors at ERROR level, rest at WARNING."""
+        code = getattr(response, "status_code", None)
+        is_auth = code in {"M_UNKNOWN_TOKEN", "M_FORBIDDEN", "M_UNAUTHORIZED"}
+        is_fatal = is_auth or getattr(response, "soft_logout", False)
+        (logger.error if is_fatal else logger.warning)("Matrix {} failed: {}", label, response)
+
+    async def _on_sync_error(self, response: SyncError) -> None:
+        self._log_response_error("sync", response)
+
+    async def _on_join_error(self, response: JoinError) -> None:
+        self._log_response_error("join", response)
+
+    async def _on_send_error(self, response: RoomSendError) -> None:
+        self._log_response_error("send", response)
+
+    async def _set_typing(self, room_id: str, typing: bool) -> None:
+        """Best-effort typing indicator update."""
+        if not self.client:
+            return
+        try:
+            response = await self.client.room_typing(room_id=room_id, typing_state=typing,
+                                                     timeout=TYPING_NOTICE_TIMEOUT_MS)
+            if isinstance(response, RoomTypingError):
+                logger.debug("Matrix typing failed for {}: {}", room_id, response)
+        except Exception:
+            pass
+
+    async def _start_typing_keepalive(self, room_id: str) -> None:
+        """Start periodic typing refresh (spec-recommended keepalive)."""
+        await self._stop_typing_keepalive(room_id, clear_typing=False)
+        await self._set_typing(room_id, True)
+        if not self._running:
+            return
+
+        async def loop() -> None:
+            try:
+                while self._running:
+                    await asyncio.sleep(TYPING_KEEPALIVE_INTERVAL_MS / 1000)
+                    await self._set_typing(room_id, True)
+            except asyncio.CancelledError:
+                pass
+
+        self._typing_tasks[room_id] = asyncio.create_task(loop())
+
+    async def _stop_typing_keepalive(self, room_id: str, *, clear_typing: bool) -> None:
+        if task := self._typing_tasks.pop(room_id, None):
+            task.cancel()
+            try:
+                await task
+            except asyncio.CancelledError:
+                pass
+        if clear_typing:
+            await self._set_typing(room_id, False)
+
+    async def _sync_loop(self) -> None:
+        while self._running:
+            try:
+                await self.client.sync_forever(timeout=30000, full_state=True)
+            except asyncio.CancelledError:
+                break
+            except Exception:
+                await asyncio.sleep(2)
+
+    async def _on_room_invite(self, room: MatrixRoom, event: InviteEvent) -> None:
+        allow_from = self.config.allow_from or []
+        if not allow_from or event.sender in allow_from:
+            await self.client.join(room.room_id)
+
+    def _is_direct_room(self, room: MatrixRoom) -> bool:
+        count = getattr(room, "member_count", None)
+        return isinstance(count, int) and count <= 2
+
+    def _is_bot_mentioned(self, event: RoomMessage) -> bool:
+        """Check m.mentions payload for bot mention."""
+        source = getattr(event, "source", None)
+        if not isinstance(source, dict):
+            return False
+        mentions = (source.get("content") or {}).get("m.mentions")
+        if not isinstance(mentions, dict):
+            return False
+        user_ids = mentions.get("user_ids")
+        if isinstance(user_ids, list) and self.config.user_id in user_ids:
+            return True
+        return bool(self.config.allow_room_mentions and mentions.get("room") is True)
+
+    def _should_process_message(self, room: MatrixRoom, event: RoomMessage) -> bool:
+        """Apply sender and room policy checks."""
+        if not self.is_allowed(event.sender):
+            return False
+        if self._is_direct_room(room):
+            return True
+        policy = self.config.group_policy
+        if policy == "open":
+            return True
+        if policy == "allowlist":
+            return room.room_id in (self.config.group_allow_from or [])
+        if policy == "mention":
+            return self._is_bot_mentioned(event)
+        return False
+
+    def _media_dir(self) -> Path:
+        d = get_data_dir() / "media" / "matrix"
+        d.mkdir(parents=True, exist_ok=True)
+        return d
+
+    @staticmethod
+    def _event_source_content(event: RoomMessage) -> dict[str, Any]:
+        source = getattr(event, "source", None)
+        if not isinstance(source, dict):
+            return {}
+        content = source.get("content")
+        return content if isinstance(content, dict) else {}
+
+    def _event_thread_root_id(self, event: RoomMessage) -> str | None:
+        relates_to = self._event_source_content(event).get("m.relates_to")
+        if not isinstance(relates_to, dict) or relates_to.get("rel_type") != "m.thread":
+            return None
+        root_id = relates_to.get("event_id")
+        return root_id if isinstance(root_id, str) and root_id else None
+
+    def _thread_metadata(self, event: RoomMessage) -> dict[str, str] | None:
+        if not (root_id := self._event_thread_root_id(event)):
+            return None
+        meta: dict[str, str] = {"thread_root_event_id": root_id}
+        if isinstance(reply_to := getattr(event, "event_id", None), str) and reply_to:
+            meta["thread_reply_to_event_id"] = reply_to
+        return meta
+
+    @staticmethod
+    def _build_thread_relates_to(metadata: dict[str, Any] | None) -> dict[str, Any] | None:
+        if not metadata:
+            return None
+        root_id = metadata.get("thread_root_event_id")
+        if not isinstance(root_id, str) or not root_id:
+            return None
+        reply_to = metadata.get("thread_reply_to_event_id") or metadata.get("event_id")
+        if not isinstance(reply_to, str) or not reply_to:
+            return None
+        return {"rel_type": "m.thread", "event_id": root_id,
+                "m.in_reply_to": {"event_id": reply_to}, "is_falling_back": True}
+
+    def _event_attachment_type(self, event: MatrixMediaEvent) -> str:
+        msgtype = self._event_source_content(event).get("msgtype")
+        return _MSGTYPE_MAP.get(msgtype, "file")
+
+    @staticmethod
+    def _is_encrypted_media_event(event: MatrixMediaEvent) -> bool:
+        return (isinstance(getattr(event, "key", None), dict)
+                and isinstance(getattr(event, "hashes", None), dict)
+                and isinstance(getattr(event, "iv", None), str))
+
+    def _event_declared_size_bytes(self, event: MatrixMediaEvent) -> int | None:
+        info = self._event_source_content(event).get("info")
+        size = info.get("size") if isinstance(info, dict) else None
+        return size if isinstance(size, int) and size >= 0 else None
+
+    def _event_mime(self, event: MatrixMediaEvent) -> str | None:
+        info = self._event_source_content(event).get("info")
+        if isinstance(info, dict) and isinstance(m := info.get("mimetype"), str) and m:
+            return m
+        m = getattr(event, "mimetype", None)
+        return m if isinstance(m, str) and m else None
+
+    def _event_filename(self, event: MatrixMediaEvent, attachment_type: str) -> str:
+        body = getattr(event, "body", None)
+        if isinstance(body, str) and body.strip():
+            if candidate := safe_filename(Path(body).name):
+                return candidate
+        return _DEFAULT_ATTACH_NAME if attachment_type == "file" else attachment_type
+
+    def _build_attachment_path(self, event: MatrixMediaEvent, attachment_type: str,
+                               filename: str, mime: str | None) -> Path:
+        safe_name = safe_filename(Path(filename).name) or _DEFAULT_ATTACH_NAME
+        suffix = Path(safe_name).suffix
+        if not suffix and mime:
+            if guessed := mimetypes.guess_extension(mime, strict=False):
+                safe_name, suffix = f"{safe_name}{guessed}", guessed
+        stem = (Path(safe_name).stem or attachment_type)[:72]
+        suffix = suffix[:16]
+        event_id = safe_filename(str(getattr(event, "event_id", "") or "evt").lstrip("$"))
+        event_prefix = (event_id[:24] or "evt").strip("_")
+        return self._media_dir() / f"{event_prefix}_{stem}{suffix}"
+
+    async def _download_media_bytes(self, mxc_url: str) -> bytes | None:
+        if not self.client:
+            return None
+        response = await self.client.download(mxc=mxc_url)
+        if isinstance(response, DownloadError):
+            logger.warning("Matrix download failed for {}: {}", mxc_url, response)
+            return None
+        body = getattr(response, "body", None)
+        if isinstance(body, (bytes, bytearray)):
+            return bytes(body)
+        if isinstance(response, MemoryDownloadResponse):
+            return bytes(response.body)
+        if isinstance(body, (str, Path)):
+            path = Path(body)
+            if path.is_file():
+                try:
+                    return path.read_bytes()
+                except OSError:
+                    return None
+        return None
+
+    def _decrypt_media_bytes(self, event: MatrixMediaEvent, ciphertext: bytes) -> bytes | None:
+        key_obj, hashes, iv = getattr(event, "key", None), getattr(event, "hashes", None), getattr(event, "iv", None)
+        key = key_obj.get("k") if isinstance(key_obj, dict) else None
+        sha256 = hashes.get("sha256") if isinstance(hashes, dict) else None
+        if not all(isinstance(v, str) for v in (key, sha256, iv)):
+            return None
+        try:
+            return decrypt_attachment(ciphertext, key, sha256, iv)
+        except (EncryptionError, ValueError, TypeError):
+            logger.warning("Matrix decrypt failed for event {}", getattr(event, "event_id", ""))
+            return None
+
+    async def _fetch_media_attachment(
+        self, room: MatrixRoom, event: MatrixMediaEvent,
+    ) -> tuple[dict[str, Any] | None, str]:
+        """Download, decrypt if needed, and persist a Matrix attachment."""
+        atype = self._event_attachment_type(event)
+        mime = self._event_mime(event)
+        filename = self._event_filename(event, atype)
+        mxc_url = getattr(event, "url", None)
+        fail = _ATTACH_FAILED.format(filename)
+
+        if not isinstance(mxc_url, str) or not mxc_url.startswith("mxc://"):
+            return None, fail
+
+        limit_bytes = await self._effective_media_limit_bytes()
+        declared = self._event_declared_size_bytes(event)
+        if declared is not None and declared > limit_bytes:
+            return None, _ATTACH_TOO_LARGE.format(filename)
+
+        downloaded = await self._download_media_bytes(mxc_url)
+        if downloaded is None:
+            return None, fail
+
+        encrypted = self._is_encrypted_media_event(event)
+        data = downloaded
+        if encrypted:
+            if (data := self._decrypt_media_bytes(event, downloaded)) is None:
+                return None, fail
+
+        if len(data) > limit_bytes:
+            return None, _ATTACH_TOO_LARGE.format(filename)
+
+        path = self._build_attachment_path(event, atype, filename, mime)
+        try:
+            path.write_bytes(data)
+        except OSError:
+            return None, fail
+
+        attachment = {
+            "type": atype, "mime": mime, "filename": filename,
+            "event_id": str(getattr(event, "event_id", "") or ""),
+            "encrypted": encrypted, "size_bytes": len(data),
+            "path": str(path), "mxc_url": mxc_url,
+        }
+        return attachment, _ATTACH_MARKER.format(path)
+
+    def _base_metadata(self, room: MatrixRoom, event: RoomMessage) -> dict[str, Any]:
+        """Build common metadata for text and media handlers."""
+        meta: dict[str, Any] = {"room": getattr(room, "display_name", room.room_id)}
+        if isinstance(eid := getattr(event, "event_id", None), str) and eid:
+            meta["event_id"] = eid
+        if thread := self._thread_metadata(event):
+            meta.update(thread)
+        return meta
+
+    async def _on_message(self, room: MatrixRoom, event: RoomMessageText) -> None:
+        if event.sender == self.config.user_id or not self._should_process_message(room, event):
+            return
+        await self._start_typing_keepalive(room.room_id)
+        try:
+            await self._handle_message(
+                sender_id=event.sender, chat_id=room.room_id,
+                content=event.body, metadata=self._base_metadata(room, event),
+            )
+        except Exception:
+            await self._stop_typing_keepalive(room.room_id, clear_typing=True)
+            raise
+
+    async def _on_media_message(self, room: MatrixRoom, event: MatrixMediaEvent) -> None:
+        if event.sender == self.config.user_id or not self._should_process_message(room, event):
+            return
+        attachment, marker = await self._fetch_media_attachment(room, event)
+        parts: list[str] = []
+        if isinstance(body := getattr(event, "body", None), str) and body.strip():
+            parts.append(body.strip())
+        parts.append(marker)
+
+        await self._start_typing_keepalive(room.room_id)
+        try:
+            meta = self._base_metadata(room, event)
+            if attachment:
+                meta["attachments"] = [attachment]
+            await self._handle_message(
+                sender_id=event.sender, chat_id=room.room_id,
+                content="\n".join(parts),
+                media=[attachment["path"]] if attachment else [],
+                metadata=meta,
+            )
+        except Exception:
+            await self._stop_typing_keepalive(room.room_id, clear_typing=True)
+            raise

nanobot/channels/qq.py

@@ -31,7 +31,8 @@ def _make_bot_class(channel: "QQChannel") -> "type[botpy.Client]":
 
     class _Bot(botpy.Client):
         def __init__(self):
-            super().__init__(intents=intents)
+            # Disable botpy's file log — nanobot uses loguru; default "botpy.log" fails on read-only fs
+            super().__init__(intents=intents, ext_handlers=False)
 
         async def on_ready(self):
             logger.info("QQ bot ready: {}", self.robot.name)
@@ -55,7 +56,6 @@ class QQChannel(BaseChannel):
         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."""
@@ -71,8 +71,8 @@ class QQChannel(BaseChannel):
         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)")
+        await self._run_bot()
 
     async def _run_bot(self) -> None:
         """Run the bot connection with auto-reconnect."""
@@ -88,11 +88,10 @@ class QQChannel(BaseChannel):
     async def stop(self) -> None:
         """Stop the QQ bot."""
         self._running = False
-        if self._bot_task:
+        if self._client:
-            self._bot_task.cancel()
             try:
-                await self._bot_task
+                await self._client.close()
-            except asyncio.CancelledError:
+            except Exception:
                 pass
         logger.info("QQ bot stopped")
 
@@ -102,10 +101,12 @@ class QQChannel(BaseChannel):
             logger.warning("QQ client not initialized")
             return
         try:
+            msg_id = msg.metadata.get("message_id")
             await self._client.api.post_c2c_message(
                 openid=msg.chat_id,
                 msg_type=0,
                 content=msg.content,
+                msg_id=msg_id,
             )
         except Exception as e:
             logger.error("Error sending QQ message: {}", e)
@@ -130,5 +131,5 @@ class QQChannel(BaseChannel):
                 content=content,
                 metadata={"message_id": data.id},
             )
-        except Exception as e:
+        except Exception:
-            logger.error("Error handling QQ message: {}", e)
+            logger.exception("Error handling QQ message")

nanobot/channels/slack.py

@@ -179,6 +179,10 @@ class SlackChannel(BaseChannel):
         except Exception as e:
             logger.debug("Slack reactions_add failed: {}", e)
 
+        # Thread-scoped session key for channel/group messages
+        session_key = f"slack:{chat_id}:{thread_ts}" if thread_ts and channel_type != "im" else None
+
+        try:
             await self._handle_message(
                 sender_id=sender_id,
                 chat_id=chat_id,
@@ -188,9 +192,12 @@ class SlackChannel(BaseChannel):
                         "event": event,
                         "thread_ts": thread_ts,
                         "channel_type": channel_type,
-                }
                     },
+                },
+                session_key=session_key,
             )
+        except Exception:
+            logger.exception("Error handling Slack message from {}", sender_id)
 
     def _is_allowed(self, sender_id: str, chat_id: str, channel_type: str) -> bool:
         if channel_type == "im":
@@ -222,6 +229,11 @@ class SlackChannel(BaseChannel):
         return re.sub(rf"<@{re.escape(self._bot_user_id)}>\s*", "", text).strip()
 
     _TABLE_RE = re.compile(r"(?m)^\|.*\|$(?:\n\|[\s:|-]*\|$)(?:\n\|.*\|$)*")
+    _CODE_FENCE_RE = re.compile(r"```[\s\S]*?```")
+    _INLINE_CODE_RE = re.compile(r"`[^`]+`")
+    _LEFTOVER_BOLD_RE = re.compile(r"\*\*(.+?)\*\*")
+    _LEFTOVER_HEADER_RE = re.compile(r"^#{1,6}\s+(.+)$", re.MULTILINE)
+    _BARE_URL_RE = re.compile(r"(?<![|<])(https?://\S+)")
 
     @classmethod
     def _to_mrkdwn(cls, text: str) -> str:
@@ -229,7 +241,26 @@ class SlackChannel(BaseChannel):
         if not text:
             return ""
         text = cls._TABLE_RE.sub(cls._convert_table, text)
-        return slackify_markdown(text)
+        return cls._fixup_mrkdwn(slackify_markdown(text))
+
+    @classmethod
+    def _fixup_mrkdwn(cls, text: str) -> str:
+        """Fix markdown artifacts that slackify_markdown misses."""
+        code_blocks: list[str] = []
+
+        def _save_code(m: re.Match) -> str:
+            code_blocks.append(m.group(0))
+            return f"\x00CB{len(code_blocks) - 1}\x00"
+
+        text = cls._CODE_FENCE_RE.sub(_save_code, text)
+        text = cls._INLINE_CODE_RE.sub(_save_code, text)
+        text = cls._LEFTOVER_BOLD_RE.sub(r"*\1*", text)
+        text = cls._LEFTOVER_HEADER_RE.sub(r"*\1*", text)
+        text = cls._BARE_URL_RE.sub(lambda m: m.group(0).replace("&amp;", "&"), text)
+
+        for i, block in enumerate(code_blocks):
+            text = text.replace(f"\x00CB{i}\x00", block)
+        return text
 
     @staticmethod
     def _convert_table(match: re.Match) -> str:

nanobot/channels/telegram.py

@@ -111,6 +111,7 @@ class TelegramChannel(BaseChannel):
     BOT_COMMANDS = [
         BotCommand("start", "Start the bot"),
         BotCommand("new", "Start a new conversation"),
+        BotCommand("stop", "Stop the current task"),
         BotCommand("help", "Show available commands"),
     ]
     
@@ -126,6 +127,8 @@ class TelegramChannel(BaseChannel):
         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
+        self._media_group_buffers: dict[str, dict] = {}
+        self._media_group_tasks: dict[str, asyncio.Task] = {}
     
     async def start(self) -> None:
         """Start the Telegram bot with long polling."""
@@ -191,6 +194,11 @@ class TelegramChannel(BaseChannel):
         for chat_id in list(self._typing_tasks):
             self._stop_typing(chat_id)
 
+        for task in self._media_group_tasks.values():
+            task.cancel()
+        self._media_group_tasks.clear()
+        self._media_group_buffers.clear()
+        
         if self._app:
             logger.info("Stopping Telegram bot...")
             await self._app.updater.stop()
@@ -299,6 +307,7 @@ class TelegramChannel(BaseChannel):
         await update.message.reply_text(
             "🐈 nanobot commands:\n"
             "/new — Start a new conversation\n"
+            "/stop — Stop the current task\n"
             "/help — Show available commands"
         )
 
@@ -398,6 +407,28 @@ class TelegramChannel(BaseChannel):
         
         str_chat_id = str(chat_id)
 
+        # Telegram media groups: buffer briefly, forward as one aggregated turn.
+        if media_group_id := getattr(message, "media_group_id", None):
+            key = f"{str_chat_id}:{media_group_id}"
+            if key not in self._media_group_buffers:
+                self._media_group_buffers[key] = {
+                    "sender_id": sender_id, "chat_id": str_chat_id,
+                    "contents": [], "media": [],
+                    "metadata": {
+                        "message_id": message.message_id, "user_id": user.id,
+                        "username": user.username, "first_name": user.first_name,
+                        "is_group": message.chat.type != "private",
+                    },
+                }
+                self._start_typing(str_chat_id)
+            buf = self._media_group_buffers[key]
+            if content and content != "[empty message]":
+                buf["contents"].append(content)
+            buf["media"].extend(media_paths)
+            if key not in self._media_group_tasks:
+                self._media_group_tasks[key] = asyncio.create_task(self._flush_media_group(key))
+            return
+        
         # Start typing indicator before processing
         self._start_typing(str_chat_id)
         
@@ -416,6 +447,21 @@ class TelegramChannel(BaseChannel):
             }
         )
     
+    async def _flush_media_group(self, key: str) -> None:
+        """Wait briefly, then forward buffered media-group as one turn."""
+        try:
+            await asyncio.sleep(0.6)
+            if not (buf := self._media_group_buffers.pop(key, None)):
+                return
+            content = "\n".join(buf["contents"]) or "[empty message]"
+            await self._handle_message(
+                sender_id=buf["sender_id"], chat_id=buf["chat_id"],
+                content=content, media=list(dict.fromkeys(buf["media"])),
+                metadata=buf["metadata"],
+            )
+        finally:
+            self._media_group_tasks.pop(key, None)
+
     def _start_typing(self, chat_id: str) -> None:
         """Start sending 'typing...' indicator for a chat."""
         # Cancel any existing typing task for this chat

nanobot/channels/whatsapp.py

@@ -2,6 +2,7 @@
 
 import asyncio
 import json
+from collections import OrderedDict
 from typing import Any
 
 from loguru import logger
@@ -27,6 +28,7 @@ class WhatsAppChannel(BaseChannel):
         self.config: WhatsAppConfig = config
         self._ws = None
         self._connected = False
+        self._processed_message_ids: OrderedDict[str, None] = OrderedDict()
     
     async def start(self) -> None:
         """Start the WhatsApp channel by connecting to the bridge."""
@@ -108,6 +110,14 @@ class WhatsAppChannel(BaseChannel):
             # New LID sytle typically:
             sender = data.get("sender", "")
             content = data.get("content", "")
+            message_id = data.get("id", "")
+
+            if message_id:
+                if message_id in self._processed_message_ids:
+                    return
+                self._processed_message_ids[message_id] = None
+                while len(self._processed_message_ids) > 1000:
+                    self._processed_message_ids.popitem(last=False)
 
             # Extract just the phone number or lid as chat_id
             user_id = pn if pn else sender
@@ -124,7 +134,7 @@ class WhatsAppChannel(BaseChannel):
                 chat_id=sender,  # Use full LID for replies
                 content=content,
                 metadata={
-                    "message_id": data.get("id"),
+                    "message_id": message_id,
                     "timestamp": data.get("timestamp"),
                     "is_group": data.get("isGroup", False)
                 }

nanobot/cli/commands.py

@@ -20,6 +20,7 @@ from prompt_toolkit.patch_stdout import patch_stdout
 
 from nanobot import __version__, __logo__
 from nanobot.config.schema import Config
+from nanobot.utils.helpers import sync_workspace_templates
 
 app = typer.Typer(
     name="nanobot",
@@ -185,8 +186,7 @@ def onboard():
         workspace.mkdir(parents=True, exist_ok=True)
         console.print(f"[green]✓[/green] Created workspace at {workspace}")
     
-    # Create default bootstrap files
+    sync_workspace_templates(workspace)
-    _create_workspace_templates(workspace)
     
     console.print(f"\n{__logo__} nanobot is ready!")
     console.print("\nNext steps:")
@@ -198,86 +198,6 @@ def onboard():
 
 
 
-def _create_workspace_templates(workspace: Path):
-    """Create default workspace template files."""
-    templates = {
-        "AGENTS.md": """# Agent Instructions
-
-You are a helpful AI assistant. Be concise, accurate, and friendly.
-
-## Guidelines
-
-- 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 memory/MEMORY.md; past events are logged in memory/HISTORY.md
-""",
-        "SOUL.md": """# Soul
-
-I am nanobot, a lightweight AI assistant.
-
-## Personality
-
-- Helpful and friendly
-- Concise and to the point
-- Curious and eager to learn
-
-## Values
-
-- Accuracy over speed
-- User privacy and safety
-- Transparency in actions
-""",
-        "USER.md": """# User
-
-Information about the user goes here.
-
-## Preferences
-
-- Communication style: (casual/formal)
-- Timezone: (your timezone)
-- Language: (your preferred language)
-""",
-    }
-    
-    for filename, content in templates.items():
-        file_path = workspace / filename
-        if not file_path.exists():
-            file_path.write_text(content, encoding="utf-8")
-            console.print(f"  [dim]Created {filename}[/dim]")
-    
-    # Create memory directory and MEMORY.md
-    memory_dir = workspace / "memory"
-    memory_dir.mkdir(exist_ok=True)
-    memory_file = memory_dir / "MEMORY.md"
-    if not memory_file.exists():
-        memory_file.write_text("""# Long-term Memory
-
-This file stores important information that should persist across sessions.
-
-## User Information
-
-(Important facts about the user)
-
-## Preferences
-
-(User preferences learned over time)
-
-## Important Notes
-
-(Things to remember)
-""", encoding="utf-8")
-        console.print("  [dim]Created memory/MEMORY.md[/dim]")
-    
-    history_file = memory_dir / "HISTORY.md"
-    if not history_file.exists():
-        history_file.write_text("", encoding="utf-8")
-        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."""
@@ -344,6 +264,7 @@ def gateway(
     console.print(f"{__logo__} Starting nanobot gateway on port {port}...")
     
     config = load_config()
+    sync_workspace_templates(config.workspace_path)
     bus = MessageBus()
     provider = _make_provider(config)
     session_manager = SessionManager(config.workspace_path)
@@ -362,12 +283,14 @@ def gateway(
         max_tokens=config.agents.defaults.max_tokens,
         max_iterations=config.agents.defaults.max_tool_iterations,
         memory_window=config.agents.defaults.memory_window,
+        reasoning_effort=config.agents.defaults.reasoning_effort,
         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,
+        channels_config=config.channels,
     )
     
     # Set cron callback (needs agent)
@@ -389,21 +312,60 @@ def gateway(
         return response
     cron.on_job = on_cron_job
     
-    # Create heartbeat service
-    async def on_heartbeat(prompt: str) -> str:
-        """Execute heartbeat through the agent."""
-        return await agent.process_direct(prompt, session_key="heartbeat")
-    
-    heartbeat = HeartbeatService(
-        workspace=config.workspace_path,
-        on_heartbeat=on_heartbeat,
-        interval_s=30 * 60,  # 30 minutes
-        enabled=True
-    )
-    
     # Create channel manager
     channels = ChannelManager(config, bus)
 
+    def _pick_heartbeat_target() -> tuple[str, str]:
+        """Pick a routable channel/chat target for heartbeat-triggered messages."""
+        enabled = set(channels.enabled_channels)
+        # Prefer the most recently updated non-internal session on an enabled channel.
+        for item in session_manager.list_sessions():
+            key = item.get("key") or ""
+            if ":" not in key:
+                continue
+            channel, chat_id = key.split(":", 1)
+            if channel in {"cli", "system"}:
+                continue
+            if channel in enabled and chat_id:
+                return channel, chat_id
+        # Fallback keeps prior behavior but remains explicit.
+        return "cli", "direct"
+
+    # Create heartbeat service
+    async def on_heartbeat_execute(tasks: str) -> str:
+        """Phase 2: execute heartbeat tasks through the full agent loop."""
+        channel, chat_id = _pick_heartbeat_target()
+
+        async def _silent(*_args, **_kwargs):
+            pass
+
+        return await agent.process_direct(
+            tasks,
+            session_key="heartbeat",
+            channel=channel,
+            chat_id=chat_id,
+            on_progress=_silent,
+        )
+
+    async def on_heartbeat_notify(response: str) -> None:
+        """Deliver a heartbeat response to the user's channel."""
+        from nanobot.bus.events import OutboundMessage
+        channel, chat_id = _pick_heartbeat_target()
+        if channel == "cli":
+            return  # No external channel available to deliver to
+        await bus.publish_outbound(OutboundMessage(channel=channel, chat_id=chat_id, content=response))
+
+    hb_cfg = config.gateway.heartbeat
+    heartbeat = HeartbeatService(
+        workspace=config.workspace_path,
+        provider=provider,
+        model=agent.model,
+        on_execute=on_heartbeat_execute,
+        on_notify=on_heartbeat_notify,
+        interval_s=hb_cfg.interval_s,
+        enabled=hb_cfg.enabled,
+    )
+    
     if channels.enabled_channels:
         console.print(f"[green]✓[/green] Channels enabled: {', '.join(channels.enabled_channels)}")
     else:
@@ -413,7 +375,7 @@ def gateway(
     if cron_status["jobs"] > 0:
         console.print(f"[green]✓[/green] Cron: {cron_status['jobs']} scheduled jobs")
     
-    console.print(f"[green]✓[/green] Heartbeat: every 30m")
+    console.print(f"[green]✓[/green] Heartbeat: every {hb_cfg.interval_s}s")
     
     async def run():
         try:
@@ -457,6 +419,7 @@ def agent(
     from loguru import logger
     
     config = load_config()
+    sync_workspace_templates(config.workspace_path)
     
     bus = MessageBus()
     provider = _make_provider(config)
@@ -479,11 +442,13 @@ def agent(
         max_tokens=config.agents.defaults.max_tokens,
         max_iterations=config.agents.defaults.max_tool_iterations,
         memory_window=config.agents.defaults.memory_window,
+        reasoning_effort=config.agents.defaults.reasoning_effort,
         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,
+        channels_config=config.channels,
     )
     
     # Show spinner when logs are off (no output to miss); skip when logs are on
@@ -494,7 +459,12 @@ def agent(
         # 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:
+    async def _cli_progress(content: str, *, tool_hint: bool = False) -> None:
+        ch = agent_loop.channels_config
+        if ch and tool_hint and not ch.send_tool_hints:
+            return
+        if ch and not tool_hint and not ch.send_progress:
+            return
         console.print(f"  [dim]↳ {content}[/dim]")
 
     if message:
@@ -535,6 +505,13 @@ def agent(
                     try:
                         msg = await asyncio.wait_for(bus.consume_outbound(), timeout=1.0)
                         if msg.metadata.get("_progress"):
+                            is_tool_hint = msg.metadata.get("_tool_hint", False)
+                            ch = agent_loop.channels_config
+                            if ch and is_tool_hint and not ch.send_tool_hints:
+                                pass
+                            elif ch and not is_tool_hint and not ch.send_progress:
+                                pass
+                            else:
                                 console.print(f"  [dim]↳ {msg.content}[/dim]")
                         elif not turn_done.is_set():
                             if msg.content:
@@ -668,6 +645,33 @@ def channels_status():
         slack_config
     )
 
+    # DingTalk
+    dt = config.channels.dingtalk
+    dt_config = f"client_id: {dt.client_id[:10]}..." if dt.client_id else "[dim]not configured[/dim]"
+    table.add_row(
+        "DingTalk",
+        "✓" if dt.enabled else "✗",
+        dt_config
+    )
+
+    # QQ
+    qq = config.channels.qq
+    qq_config = f"app_id: {qq.app_id[:10]}..." if qq.app_id else "[dim]not configured[/dim]"
+    table.add_row(
+        "QQ",
+        "✓" if qq.enabled else "✗",
+        qq_config
+    )
+
+    # Email
+    em = config.channels.email
+    em_config = em.imap_host if em.imap_host else "[dim]not configured[/dim]"
+    table.add_row(
+        "Email",
+        "✓" if em.enabled else "✗",
+        em_config
+    )
+
     console.print(table)
 
 
@@ -930,10 +934,12 @@ def cron_run(
         max_tokens=config.agents.defaults.max_tokens,
         max_iterations=config.agents.defaults.max_tool_iterations,
         memory_window=config.agents.defaults.memory_window,
+        reasoning_effort=config.agents.defaults.reasoning_effort,
         brave_api_key=config.tools.web.search.api_key or None,
         exec_config=config.tools.exec,
         restrict_to_workspace=config.tools.restrict_to_workspace,
         mcp_servers=config.tools.mcp_servers,
+        channels_config=config.channels,
     )
 
     store_path = get_data_dir() / "cron" / "jobs.json"

nanobot/config/schema.py

@@ -1,6 +1,8 @@
 """Configuration schema using Pydantic."""
 
 from pathlib import Path
+from typing import Literal
+
 from pydantic import BaseModel, Field, ConfigDict
 from pydantic.alias_generators import to_camel
 from pydantic_settings import BaseSettings
@@ -40,6 +42,7 @@ class FeishuConfig(Base):
     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
+    react_emoji: str = "THUMBSUP"  # Emoji type for message reactions (e.g. THUMBSUP, OK, DONE, SMILE)
 
 
 class DingTalkConfig(Base):
@@ -61,6 +64,23 @@ class DiscordConfig(Base):
     intents: int = 37377  # GUILDS + GUILD_MESSAGES + DIRECT_MESSAGES + MESSAGE_CONTENT
 
 
+class MatrixConfig(Base):
+    """Matrix (Element) channel configuration."""
+
+    enabled: bool = False
+    homeserver: str = "https://matrix.org"
+    access_token: str = ""
+    user_id: str = ""  # @bot:matrix.org
+    device_id: str = ""
+    e2ee_enabled: bool = True # Enable Matrix E2EE support (encryption + encrypted room handling).
+    sync_stop_grace_seconds: int = 2 # Max seconds to wait for sync_forever to stop gracefully before cancellation fallback.
+    max_media_bytes: int = 20 * 1024 * 1024 # Max attachment size accepted for Matrix media handling (inbound + outbound).
+    allow_from: list[str] = Field(default_factory=list)
+    group_policy: Literal["open", "mention", "allowlist"] = "open"
+    group_allow_from: list[str] = Field(default_factory=list)
+    allow_room_mentions: bool = False
+
+
 class EmailConfig(Base):
     """Email channel configuration (IMAP inbound + SMTP outbound)."""
 
@@ -164,10 +184,26 @@ class QQConfig(Base):
     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 MatrixConfig(Base):
+    """Matrix (Element) channel configuration."""
+    enabled: bool = False
+    homeserver: str = "https://matrix.org"
+    access_token: str = ""
+    user_id: str = ""                       # e.g. @bot:matrix.org
+    device_id: str = ""
+    e2ee_enabled: bool = True               # end-to-end encryption support
+    sync_stop_grace_seconds: int = 2        # graceful sync_forever shutdown timeout
+    max_media_bytes: int = 20 * 1024 * 1024 # inbound + outbound attachment limit
+    allow_from: list[str] = Field(default_factory=list)
+    group_policy: Literal["open", "mention", "allowlist"] = "open"
+    group_allow_from: list[str] = Field(default_factory=list)
+    allow_room_mentions: bool = False
 
 class ChannelsConfig(Base):
     """Configuration for chat channels."""
 
+    send_progress: bool = True    # stream agent's text progress to the channel
+    send_tool_hints: bool = False  # stream tool-call hints (e.g. read_file("…"))
     whatsapp: WhatsAppConfig = Field(default_factory=WhatsAppConfig)
     telegram: TelegramConfig = Field(default_factory=TelegramConfig)
     discord: DiscordConfig = Field(default_factory=DiscordConfig)
@@ -177,6 +213,7 @@ class ChannelsConfig(Base):
     email: EmailConfig = Field(default_factory=EmailConfig)
     slack: SlackConfig = Field(default_factory=SlackConfig)
     qq: QQConfig = Field(default_factory=QQConfig)
+    matrix: MatrixConfig = Field(default_factory=MatrixConfig)
 
 
 class AgentDefaults(Base):
@@ -184,10 +221,12 @@ class AgentDefaults(Base):
 
     workspace: str = "~/.nanobot/workspace"
     model: str = "anthropic/claude-opus-4-5"
+    provider: str = "auto"  # Provider name (e.g. "anthropic", "openrouter") or "auto" for auto-detection
     max_tokens: int = 8192
-    temperature: float = 0.7
+    temperature: float = 0.1
-    max_tool_iterations: int = 20
+    max_tool_iterations: int = 40
-    memory_window: int = 50
+    memory_window: int = 100
+    reasoning_effort: str | None = None  # low / medium / high — enables LLM thinking mode
 
 
 class AgentsConfig(Base):
@@ -226,11 +265,19 @@ class ProvidersConfig(Base):
     github_copilot: ProviderConfig = Field(default_factory=ProviderConfig)  # Github Copilot (OAuth)
 
 
+class HeartbeatConfig(Base):
+    """Heartbeat service configuration."""
+
+    enabled: bool = True
+    interval_s: int = 30 * 60  # 30 minutes
+
+
 class GatewayConfig(Base):
     """Gateway/server configuration."""
 
     host: str = "0.0.0.0"
     port: int = 18790
+    heartbeat: HeartbeatConfig = Field(default_factory=HeartbeatConfig)
 
 
 class WebSearchConfig(Base):
@@ -250,6 +297,7 @@ class ExecToolConfig(Base):
     """Shell exec tool configuration."""
 
     timeout: int = 60
+    path_append: str = ""
 
 
 class MCPServerConfig(Base):
@@ -260,6 +308,7 @@ class MCPServerConfig(Base):
     env: dict[str, str] = Field(default_factory=dict)  # Stdio: extra env vars
     url: str = ""  # HTTP: streamable HTTP endpoint URL
     headers: dict[str, str] = Field(default_factory=dict)  # HTTP: Custom HTTP Headers
+    tool_timeout: int = 30  # Seconds before a tool call is cancelled
 
 
 class ToolsConfig(Base):
@@ -289,6 +338,11 @@ class Config(BaseSettings):
         """Match provider config and its registry name. Returns (config, spec_name)."""
         from nanobot.providers.registry import PROVIDERS
 
+        forced = self.agents.defaults.provider
+        if forced != "auto":
+            p = getattr(self.providers, forced, None)
+            return (p, forced) if p else (None, None)
+
         model_lower = (model or self.agents.defaults.model).lower()
         model_normalized = model_lower.replace("-", "_")
         model_prefix = model_lower.split("/", 1)[0] if "/" in model_lower else ""

nanobot/heartbeat/service.py

@@ -1,57 +1,70 @@
 """Heartbeat service - periodic agent wake-up to check for tasks."""
 
+from __future__ import annotations
+
 import asyncio
 from pathlib import Path
-from typing import Any, Callable, Coroutine
+from typing import TYPE_CHECKING, Any, Callable, Coroutine
 
 from loguru import logger
 
-# Default interval: 30 minutes
+if TYPE_CHECKING:
-DEFAULT_HEARTBEAT_INTERVAL_S = 30 * 60
+    from nanobot.providers.base import LLMProvider
 
-# The prompt sent to agent during heartbeat
+_HEARTBEAT_TOOL = [
-HEARTBEAT_PROMPT = """Read HEARTBEAT.md in your workspace (if it exists).
+    {
-Follow any instructions or tasks listed there.
+        "type": "function",
-If nothing needs attention, reply with just: HEARTBEAT_OK"""
+        "function": {
-
+            "name": "heartbeat",
-# Token that indicates "nothing to do"
+            "description": "Report heartbeat decision after reviewing tasks.",
-HEARTBEAT_OK_TOKEN = "HEARTBEAT_OK"
+            "parameters": {
-
+                "type": "object",
-
+                "properties": {
-def _is_heartbeat_empty(content: str | None) -> bool:
+                    "action": {
-    """Check if HEARTBEAT.md has no actionable content."""
+                        "type": "string",
-    if not content:
+                        "enum": ["skip", "run"],
-        return True
+                        "description": "skip = nothing to do, run = has active tasks",
-    
+                    },
-    # Lines to skip: empty, headers, HTML comments, empty checkboxes
+                    "tasks": {
-    skip_patterns = {"- [ ]", "* [ ]", "- [x]", "* [x]"}
+                        "type": "string",
-    
+                        "description": "Natural-language summary of active tasks (required for run)",
-    for line in content.split("\n"):
+                    },
-        line = line.strip()
+                },
-        if not line or line.startswith("#") or line.startswith("<!--") or line in skip_patterns:
+                "required": ["action"],
-            continue
+            },
-        return False  # Found actionable content
+        },
-    
+    }
-    return True
+]
 
 
 class HeartbeatService:
     """
     Periodic heartbeat service that wakes the agent to check for tasks.
 
-    The agent reads HEARTBEAT.md from the workspace and executes any
+    Phase 1 (decision): reads HEARTBEAT.md and asks the LLM — via a virtual
-    tasks listed there. If nothing needs attention, it replies HEARTBEAT_OK.
+    tool call — whether there are active tasks.  This avoids free-text parsing
+    and the unreliable HEARTBEAT_OK token.
+
+    Phase 2 (execution): only triggered when Phase 1 returns ``run``.  The
+    ``on_execute`` callback runs the task through the full agent loop and
+    returns the result to deliver.
     """
 
     def __init__(
         self,
         workspace: Path,
-        on_heartbeat: Callable[[str], Coroutine[Any, Any, str]] | None = None,
+        provider: LLMProvider,
-        interval_s: int = DEFAULT_HEARTBEAT_INTERVAL_S,
+        model: str,
+        on_execute: Callable[[str], Coroutine[Any, Any, str]] | None = None,
+        on_notify: Callable[[str], Coroutine[Any, Any, None]] | None = None,
+        interval_s: int = 30 * 60,
         enabled: bool = True,
     ):
         self.workspace = workspace
-        self.on_heartbeat = on_heartbeat
+        self.provider = provider
+        self.model = model
+        self.on_execute = on_execute
+        self.on_notify = on_notify
         self.interval_s = interval_s
         self.enabled = enabled
         self._running = False
@@ -62,7 +75,6 @@ class HeartbeatService:
         return self.workspace / "HEARTBEAT.md"
 
     def _read_heartbeat_file(self) -> str | None:
-        """Read HEARTBEAT.md content."""
         if self.heartbeat_file.exists():
             try:
                 return self.heartbeat_file.read_text(encoding="utf-8")
@@ -70,11 +82,37 @@ class HeartbeatService:
                 return None
         return None
 
+    async def _decide(self, content: str) -> tuple[str, str]:
+        """Phase 1: ask LLM to decide skip/run via virtual tool call.
+
+        Returns (action, tasks) where action is 'skip' or 'run'.
+        """
+        response = await self.provider.chat(
+            messages=[
+                {"role": "system", "content": "You are a heartbeat agent. Call the heartbeat tool to report your decision."},
+                {"role": "user", "content": (
+                    "Review the following HEARTBEAT.md and decide whether there are active tasks.\n\n"
+                    f"{content}"
+                )},
+            ],
+            tools=_HEARTBEAT_TOOL,
+            model=self.model,
+        )
+
+        if not response.has_tool_calls:
+            return "skip", ""
+
+        args = response.tool_calls[0].arguments
+        return args.get("action", "skip"), args.get("tasks", "")
+
     async def start(self) -> None:
         """Start the heartbeat service."""
         if not self.enabled:
             logger.info("Heartbeat disabled")
             return
+        if self._running:
+            logger.warning("Heartbeat already running")
+            return
 
         self._running = True
         self._task = asyncio.create_task(self._run_loop())
@@ -102,29 +140,34 @@ class HeartbeatService:
     async def _tick(self) -> None:
         """Execute a single heartbeat tick."""
         content = self._read_heartbeat_file()
-        
+        if not content:
-        # Skip if HEARTBEAT.md is empty or doesn't exist
+            logger.debug("Heartbeat: HEARTBEAT.md missing or empty")
-        if _is_heartbeat_empty(content):
-            logger.debug("Heartbeat: no tasks (HEARTBEAT.md empty)")
             return
 
         logger.info("Heartbeat: checking for tasks...")
 
-        if self.on_heartbeat:
         try:
-                response = await self.on_heartbeat(HEARTBEAT_PROMPT)
+            action, tasks = await self._decide(content)
 
-                # Check if agent said "nothing to do"
+            if action != "run":
-                if HEARTBEAT_OK_TOKEN.replace("_", "") in response.upper().replace("_", ""):
+                logger.info("Heartbeat: OK (nothing to report)")
-                    logger.info("Heartbeat: OK (no action needed)")
+                return
-                else:
-                    logger.info("Heartbeat: completed task")
 
-            except Exception as e:
+            logger.info("Heartbeat: tasks found, executing...")
-                logger.error("Heartbeat execution failed: {}", e)
+            if self.on_execute:
+                response = await self.on_execute(tasks)
+                if response and self.on_notify:
+                    logger.info("Heartbeat: completed, delivering response")
+                    await self.on_notify(response)
+        except Exception:
+            logger.exception("Heartbeat execution failed")
 
     async def trigger_now(self) -> str | None:
         """Manually trigger a heartbeat."""
-        if self.on_heartbeat:
+        content = self._read_heartbeat_file()
-            return await self.on_heartbeat(HEARTBEAT_PROMPT)
+        if not content:
             return None
+        action, tasks = await self._decide(content)
+        if action != "run" or not self.on_execute:
+            return None
+        return await self.on_execute(tasks)

nanobot/providers/base.py

@@ -21,6 +21,7 @@ class LLMResponse:
     finish_reason: str = "stop"
     usage: dict[str, int] = field(default_factory=dict)
     reasoning_content: str | None = None  # Kimi, DeepSeek-R1 etc.
+    thinking_blocks: list[dict] | None = None  # Anthropic extended thinking
     
     @property
     def has_tool_calls(self) -> bool:
@@ -40,6 +41,46 @@ class LLMProvider(ABC):
         self.api_key = api_key
         self.api_base = api_base
 
+    @staticmethod
+    def _sanitize_empty_content(messages: list[dict[str, Any]]) -> list[dict[str, Any]]:
+        """Replace empty text content that causes provider 400 errors.
+
+        Empty content can appear when MCP tools return nothing. Most providers
+        reject empty-string content or empty text blocks in list content.
+        """
+        result: list[dict[str, Any]] = []
+        for msg in messages:
+            content = msg.get("content")
+
+            if isinstance(content, str) and not content:
+                clean = dict(msg)
+                clean["content"] = None if (msg.get("role") == "assistant" and msg.get("tool_calls")) else "(empty)"
+                result.append(clean)
+                continue
+
+            if isinstance(content, list):
+                filtered = [
+                    item for item in content
+                    if not (
+                        isinstance(item, dict)
+                        and item.get("type") in ("text", "input_text", "output_text")
+                        and not item.get("text")
+                    )
+                ]
+                if len(filtered) != len(content):
+                    clean = dict(msg)
+                    if filtered:
+                        clean["content"] = filtered
+                    elif msg.get("role") == "assistant" and msg.get("tool_calls"):
+                        clean["content"] = None
+                    else:
+                        clean["content"] = "(empty)"
+                    result.append(clean)
+                    continue
+
+            result.append(msg)
+        return result
+    
     @abstractmethod
     async def chat(
         self,
@@ -48,6 +89,7 @@ class LLMProvider(ABC):
         model: str | None = None,
         max_tokens: int = 4096,
         temperature: float = 0.7,
+        reasoning_effort: str | None = None,
     ) -> LLMResponse:
         """
         Send a chat completion request.

nanobot/providers/custom_provider.py

@@ -18,9 +18,16 @@ class CustomProvider(LLMProvider):
         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:
+                   model: str | None = None, max_tokens: int = 4096, temperature: float = 0.7,
-        kwargs: dict[str, Any] = {"model": model or self.default_model, "messages": messages,
+                   reasoning_effort: str | None = None) -> LLMResponse:
-                                  "max_tokens": max(1, max_tokens), "temperature": temperature}
+        kwargs: dict[str, Any] = {
+            "model": model or self.default_model,
+            "messages": self._sanitize_empty_content(messages),
+            "max_tokens": max(1, max_tokens),
+            "temperature": temperature,
+        }
+        if reasoning_effort:
+            kwargs["reasoning_effort"] = reasoning_effort
         if tools:
             kwargs.update(tools=tools, tool_choice="auto")
         try:
@@ -40,8 +47,9 @@ class CustomProvider(LLMProvider):
         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),
+            reasoning_content=getattr(msg, "reasoning_content", None) or None,
         )
 
     def get_default_model(self) -> str:
         return self.default_model
+

nanobot/providers/litellm_provider.py

@@ -3,6 +3,8 @@
 import json
 import json_repair
 import os
+import secrets
+import string
 from typing import Any
 
 import litellm
@@ -12,8 +14,14 @@ from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
 from nanobot.providers.registry import find_by_model, find_gateway
 
 
-# Standard OpenAI chat-completion message keys; extras (e.g. reasoning_content) are stripped for strict providers.
+# Standard OpenAI chat-completion message keys plus reasoning_content for
-_ALLOWED_MSG_KEYS = frozenset({"role", "content", "tool_calls", "tool_call_id", "name"})
+# thinking-enabled models (Kimi k2.5, DeepSeek-R1, etc.).
+_ALLOWED_MSG_KEYS = frozenset({"role", "content", "tool_calls", "tool_call_id", "name", "reasoning_content", "thinking_blocks"})
+_ALNUM = string.ascii_letters + string.digits
+
+def _short_tool_id() -> str:
+    """Generate a 9-char alphanumeric ID compatible with all providers (incl. Mistral)."""
+    return "".join(secrets.choice(_ALNUM) for _ in range(9))
 
 
 class LiteLLMProvider(LLMProvider):
@@ -170,6 +178,7 @@ class LiteLLMProvider(LLMProvider):
         model: str | None = None,
         max_tokens: int = 4096,
         temperature: float = 0.7,
+        reasoning_effort: str | None = None,
     ) -> LLMResponse:
         """
         Send a chat completion request via LiteLLM.
@@ -196,7 +205,7 @@ class LiteLLMProvider(LLMProvider):
         
         kwargs: dict[str, Any] = {
             "model": model,
-            "messages": self._sanitize_messages(messages),
+            "messages": self._sanitize_messages(self._sanitize_empty_content(messages)),
             "max_tokens": max_tokens,
             "temperature": temperature,
         }
@@ -216,6 +225,10 @@ class LiteLLMProvider(LLMProvider):
         if self.extra_headers:
             kwargs["extra_headers"] = self.extra_headers
         
+        if reasoning_effort:
+            kwargs["reasoning_effort"] = reasoning_effort
+            kwargs["drop_params"] = True
+        
         if tools:
             kwargs["tools"] = tools
             kwargs["tool_choice"] = "auto"
@@ -244,7 +257,7 @@ class LiteLLMProvider(LLMProvider):
                     args = json_repair.loads(args)
                 
                 tool_calls.append(ToolCallRequest(
-                    id=tc.id,
+                    id=_short_tool_id(),
                     name=tc.function.name,
                     arguments=args,
                 ))
@@ -257,7 +270,8 @@ class LiteLLMProvider(LLMProvider):
                 "total_tokens": response.usage.total_tokens,
             }
         
-        reasoning_content = getattr(message, "reasoning_content", None)
+        reasoning_content = getattr(message, "reasoning_content", None) or None
+        thinking_blocks = getattr(message, "thinking_blocks", None) or None
         
         return LLMResponse(
             content=message.content,
@@ -265,6 +279,7 @@ class LiteLLMProvider(LLMProvider):
             finish_reason=choice.finish_reason or "stop",
             usage=usage,
             reasoning_content=reasoning_content,
+            thinking_blocks=thinking_blocks,
         )
     
     def get_default_model(self) -> str:

nanobot/providers/openai_codex_provider.py

@@ -31,6 +31,7 @@ class OpenAICodexProvider(LLMProvider):
         model: str | None = None,
         max_tokens: int = 4096,
         temperature: float = 0.7,
+        reasoning_effort: str | None = None,
     ) -> LLMResponse:
         model = model or self.default_model
         system_prompt, input_items = _convert_messages(messages)

nanobot/providers/registry.py

@@ -147,7 +147,7 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
         keywords=("volcengine", "volces", "ark"),
         env_key="OPENAI_API_KEY",
         display_name="VolcEngine",
-        litellm_prefix="openai",
+        litellm_prefix="volcengine",
         skip_prefixes=(),
         env_extras=(),
         is_gateway=True,
@@ -201,7 +201,7 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
     # OpenAI Codex: uses OAuth, not API key.
     ProviderSpec(
         name="openai_codex",
-        keywords=("openai-codex", "codex"),
+        keywords=("openai-codex",),
         env_key="",                         # OAuth-based, no API key
         display_name="OpenAI Codex",
         litellm_prefix="",                  # Not routed through LiteLLM

nanobot/session/manager.py

@@ -1,6 +1,7 @@
 """Session management for conversation history."""
 
 import json
+import shutil
 from pathlib import Path
 from dataclasses import dataclass, field
 from datetime import datetime
@@ -42,9 +43,18 @@ class Session:
         self.updated_at = datetime.now()
     
     def get_history(self, max_messages: int = 500) -> list[dict[str, Any]]:
-        """Get recent messages in LLM format, preserving tool metadata."""
+        """Return unconsolidated messages for LLM input, aligned to a user turn."""
+        unconsolidated = self.messages[self.last_consolidated:]
+        sliced = unconsolidated[-max_messages:]
+
+        # Drop leading non-user messages to avoid orphaned tool_result blocks
+        for i, m in enumerate(sliced):
+            if m.get("role") == "user":
+                sliced = sliced[i:]
+                break
+
         out: list[dict[str, Any]] = []
-        for m in self.messages[-max_messages:]:
+        for m in sliced:
             entry: dict[str, Any] = {"role": m["role"], "content": m.get("content", "")}
             for k in ("tool_calls", "tool_call_id", "name"):
                 if k in m:
@@ -108,9 +118,11 @@ class SessionManager:
         if not path.exists():
             legacy_path = self._get_legacy_session_path(key)
             if legacy_path.exists():
-                import shutil
+                try:
                     shutil.move(str(legacy_path), str(path))
                     logger.info("Migrated session {} from legacy path", key)
+                except Exception:
+                    logger.exception("Failed to migrate session {}", key)
 
         if not path.exists():
             return None

nanobot/skills/memory/SKILL.md

@@ -9,7 +9,7 @@ always: true
 ## 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.
+- `memory/HISTORY.md` — Append-only event log. NOT loaded into context. Search it with grep. Each entry starts with [YYYY-MM-DD HH:MM].
 
 ## Search Past Events
 

nanobot/templates/AGENTS.md

@@ -0,0 +1,23 @@
+# Agent Instructions
+
+You are a helpful AI assistant. Be concise, accurate, and friendly.
+
+## Scheduled Reminders
+
+When user asks for a reminder at a specific time, use `exec` to run:
+```
+nanobot cron add --name "reminder" --message "Your message" --at "YYYY-MM-DDTHH:MM:SS" --deliver --to "USER_ID" --channel "CHANNEL"
+```
+Get USER_ID and CHANNEL from the current session (e.g., `8281248569` and `telegram` from `telegram:8281248569`).
+
+**Do NOT just write reminders to MEMORY.md** — that won't trigger actual notifications.
+
+## Heartbeat Tasks
+
+`HEARTBEAT.md` is checked every 30 minutes. Use file tools to manage periodic tasks:
+
+- **Add**: `edit_file` to append new tasks
+- **Remove**: `edit_file` to delete completed tasks
+- **Rewrite**: `write_file` to replace all tasks
+
+When the user asks for a recurring/periodic task, update `HEARTBEAT.md` instead of creating a one-time cron reminder.

nanobot/templates/TOOLS.md

@@ -0,0 +1,15 @@
+# Tool Usage Notes
+
+Tool signatures are provided automatically via function calling.
+This file documents non-obvious constraints and usage patterns.
+
+## exec — Safety Limits
+
+- Commands have a configurable timeout (default 60s)
+- Dangerous commands are blocked (rm -rf, format, dd, shutdown, etc.)
+- Output is truncated at 10,000 characters
+- `restrictToWorkspace` config can limit file access to the workspace
+
+## cron — Scheduled Reminders
+
+- Please refer to cron skill for usage.

nanobot/utils/helpers.py

@@ -1,80 +1,67 @@
 """Utility functions for nanobot."""
 
+import re
 from pathlib import Path
 from datetime import datetime
 
 
 def ensure_dir(path: Path) -> Path:
-    """Ensure a directory exists, creating it if necessary."""
+    """Ensure directory exists, return it."""
     path.mkdir(parents=True, exist_ok=True)
     return path
 
 
 def get_data_path() -> Path:
-    """Get the nanobot data directory (~/.nanobot)."""
+    """~/.nanobot data directory."""
     return ensure_dir(Path.home() / ".nanobot")
 
 
 def get_workspace_path(workspace: str | None = None) -> Path:
-    """
+    """Resolve and ensure workspace path. Defaults to ~/.nanobot/workspace."""
-    Get the workspace path.
+    path = Path(workspace).expanduser() if workspace else Path.home() / ".nanobot" / "workspace"
-    
-    Args:
-        workspace: Optional workspace path. Defaults to ~/.nanobot/workspace.
-    
-    Returns:
-        Expanded and ensured workspace path.
-    """
-    if workspace:
-        path = Path(workspace).expanduser()
-    else:
-        path = Path.home() / ".nanobot" / "workspace"
     return ensure_dir(path)
 
 
-def get_sessions_path() -> Path:
-    """Get the sessions storage directory."""
-    return ensure_dir(get_data_path() / "sessions")
-
-
-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 timestamp() -> str:
-    """Get current timestamp in ISO format."""
+    """Current ISO timestamp."""
     return datetime.now().isoformat()
 
 
-def truncate_string(s: str, max_len: int = 100, suffix: str = "...") -> str:
+_UNSAFE_CHARS = re.compile(r'[<>:"/\\|?*]')
-    """Truncate a string to max length, adding suffix if truncated."""
-    if len(s) <= max_len:
-        return s
-    return s[: max_len - len(suffix)] + suffix
-
 
 def safe_filename(name: str) -> str:
-    """Convert a string to a safe filename."""
+    """Replace unsafe path characters with underscores."""
-    # Replace unsafe characters
+    return _UNSAFE_CHARS.sub("_", name).strip()
-    unsafe = '<>:"/\\|?*'
-    for char in unsafe:
-        name = name.replace(char, "_")
-    return name.strip()
 
 
-def parse_session_key(key: str) -> tuple[str, str]:
+def sync_workspace_templates(workspace: Path, silent: bool = False) -> list[str]:
-    """
+    """Sync bundled templates to workspace. Only creates missing files."""
-    Parse a session key into channel and chat_id.
+    from importlib.resources import files as pkg_files
+    try:
+        tpl = pkg_files("nanobot") / "templates"
+    except Exception:
+        return []
+    if not tpl.is_dir():
+        return []
 
-    Args:
+    added: list[str] = []
-        key: Session key in format "channel:chat_id"
 
-    Returns:
+    def _write(src, dest: Path):
-        Tuple of (channel, chat_id)
+        if dest.exists():
-    """
+            return
-    parts = key.split(":", 1)
+        dest.parent.mkdir(parents=True, exist_ok=True)
-    if len(parts) != 2:
+        dest.write_text(src.read_text(encoding="utf-8") if src else "", encoding="utf-8")
-        raise ValueError(f"Invalid session key: {key}")
+        added.append(str(dest.relative_to(workspace)))
-    return parts[0], parts[1]
+
+    for item in tpl.iterdir():
+        if item.name.endswith(".md"):
+            _write(item, workspace / item.name)
+    _write(tpl / "memory" / "MEMORY.md", workspace / "memory" / "MEMORY.md")
+    _write(None, workspace / "memory" / "HISTORY.md")
+    (workspace / "skills").mkdir(exist_ok=True)
+
+    if added and not silent:
+        from rich.console import Console
+        for name in added:
+            Console().print(f"  [dim]Created {name}[/dim]")
+    return added

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "nanobot-ai"
-version = "0.1.4.post1"
+version = "0.1.4.post3"
 description = "A lightweight personal AI assistant framework"
 requires-python = ">=3.11"
 license = {text = "MIT"}
@@ -45,6 +45,11 @@ dependencies = [
 ]
 
 [project.optional-dependencies]
+matrix = [
+    "matrix-nio[e2e]>=0.25.2",
+    "mistune>=3.0.0,<4.0.0",
+    "nh3>=0.2.17,<1.0.0",
+]
 dev = [
     "pytest>=9.0.0,<10.0.0",
     "pytest-asyncio>=1.3.0,<2.0.0",
@@ -64,10 +69,11 @@ packages = ["nanobot"]
 [tool.hatch.build.targets.wheel.sources]
 "nanobot" = "nanobot"
 
-# Include non-Python files in skills
+# Include non-Python files in skills and templates
 [tool.hatch.build]
 include = [
     "nanobot/**/*.py",
+    "nanobot/templates/**/*.md",
     "nanobot/skills/**/*.md",
     "nanobot/skills/**/*.sh",
 ]

tests/test_consolidate_offset.py

@@ -1,5 +1,8 @@
 """Test session management with cache-friendly message handling."""
 
+import asyncio
+from unittest.mock import AsyncMock, MagicMock
+
 import pytest
 from pathlib import Path
 from nanobot.session.manager import Session, SessionManager
@@ -475,3 +478,344 @@ class TestEmptyAndBoundarySessions:
         expected_count = 60 - KEEP_COUNT - 10
         assert len(old_messages) == expected_count
         assert_messages_content(old_messages, 10, 34)
+
+
+class TestConsolidationDeduplicationGuard:
+    """Test that consolidation tasks are deduplicated and serialized."""
+
+    @pytest.mark.asyncio
+    async def test_consolidation_guard_prevents_duplicate_tasks(self, tmp_path: Path) -> None:
+        """Concurrent messages above memory_window spawn only one consolidation task."""
+        from nanobot.agent.loop import AgentLoop
+        from nanobot.bus.events import InboundMessage
+        from nanobot.bus.queue import MessageBus
+        from nanobot.providers.base import LLMResponse
+
+        bus = MessageBus()
+        provider = MagicMock()
+        provider.get_default_model.return_value = "test-model"
+        loop = AgentLoop(
+            bus=bus, provider=provider, workspace=tmp_path, model="test-model", memory_window=10
+        )
+
+        loop.provider.chat = AsyncMock(return_value=LLMResponse(content="ok", tool_calls=[]))
+        loop.tools.get_definitions = MagicMock(return_value=[])
+
+        session = loop.sessions.get_or_create("cli:test")
+        for i in range(15):
+            session.add_message("user", f"msg{i}")
+            session.add_message("assistant", f"resp{i}")
+        loop.sessions.save(session)
+
+        consolidation_calls = 0
+
+        async def _fake_consolidate(_session, archive_all: bool = False) -> None:
+            nonlocal consolidation_calls
+            consolidation_calls += 1
+            await asyncio.sleep(0.05)
+
+        loop._consolidate_memory = _fake_consolidate  # type: ignore[method-assign]
+
+        msg = InboundMessage(channel="cli", sender_id="user", chat_id="test", content="hello")
+        await loop._process_message(msg)
+        await loop._process_message(msg)
+        await asyncio.sleep(0.1)
+
+        assert consolidation_calls == 1, (
+            f"Expected exactly 1 consolidation, got {consolidation_calls}"
+        )
+
+    @pytest.mark.asyncio
+    async def test_new_command_guard_prevents_concurrent_consolidation(
+        self, tmp_path: Path
+    ) -> None:
+        """/new command does not run consolidation concurrently with in-flight consolidation."""
+        from nanobot.agent.loop import AgentLoop
+        from nanobot.bus.events import InboundMessage
+        from nanobot.bus.queue import MessageBus
+        from nanobot.providers.base import LLMResponse
+
+        bus = MessageBus()
+        provider = MagicMock()
+        provider.get_default_model.return_value = "test-model"
+        loop = AgentLoop(
+            bus=bus, provider=provider, workspace=tmp_path, model="test-model", memory_window=10
+        )
+
+        loop.provider.chat = AsyncMock(return_value=LLMResponse(content="ok", tool_calls=[]))
+        loop.tools.get_definitions = MagicMock(return_value=[])
+
+        session = loop.sessions.get_or_create("cli:test")
+        for i in range(15):
+            session.add_message("user", f"msg{i}")
+            session.add_message("assistant", f"resp{i}")
+        loop.sessions.save(session)
+
+        consolidation_calls = 0
+        active = 0
+        max_active = 0
+
+        async def _fake_consolidate(_session, archive_all: bool = False) -> None:
+            nonlocal consolidation_calls, active, max_active
+            consolidation_calls += 1
+            active += 1
+            max_active = max(max_active, active)
+            await asyncio.sleep(0.05)
+            active -= 1
+
+        loop._consolidate_memory = _fake_consolidate  # type: ignore[method-assign]
+
+        msg = InboundMessage(channel="cli", sender_id="user", chat_id="test", content="hello")
+        await loop._process_message(msg)
+
+        new_msg = InboundMessage(channel="cli", sender_id="user", chat_id="test", content="/new")
+        await loop._process_message(new_msg)
+        await asyncio.sleep(0.1)
+
+        assert consolidation_calls == 2, (
+            f"Expected normal + /new consolidations, got {consolidation_calls}"
+        )
+        assert max_active == 1, (
+            f"Expected serialized consolidation, observed concurrency={max_active}"
+        )
+
+    @pytest.mark.asyncio
+    async def test_consolidation_tasks_are_referenced(self, tmp_path: Path) -> None:
+        """create_task results are tracked in _consolidation_tasks while in flight."""
+        from nanobot.agent.loop import AgentLoop
+        from nanobot.bus.events import InboundMessage
+        from nanobot.bus.queue import MessageBus
+        from nanobot.providers.base import LLMResponse
+
+        bus = MessageBus()
+        provider = MagicMock()
+        provider.get_default_model.return_value = "test-model"
+        loop = AgentLoop(
+            bus=bus, provider=provider, workspace=tmp_path, model="test-model", memory_window=10
+        )
+
+        loop.provider.chat = AsyncMock(return_value=LLMResponse(content="ok", tool_calls=[]))
+        loop.tools.get_definitions = MagicMock(return_value=[])
+
+        session = loop.sessions.get_or_create("cli:test")
+        for i in range(15):
+            session.add_message("user", f"msg{i}")
+            session.add_message("assistant", f"resp{i}")
+        loop.sessions.save(session)
+
+        started = asyncio.Event()
+
+        async def _slow_consolidate(_session, archive_all: bool = False) -> None:
+            started.set()
+            await asyncio.sleep(0.1)
+
+        loop._consolidate_memory = _slow_consolidate  # type: ignore[method-assign]
+
+        msg = InboundMessage(channel="cli", sender_id="user", chat_id="test", content="hello")
+        await loop._process_message(msg)
+
+        await started.wait()
+        assert len(loop._consolidation_tasks) == 1, "Task must be referenced while in-flight"
+
+        await asyncio.sleep(0.15)
+        assert len(loop._consolidation_tasks) == 0, (
+            "Task reference must be removed after completion"
+        )
+
+    @pytest.mark.asyncio
+    async def test_new_waits_for_inflight_consolidation_and_preserves_messages(
+        self, tmp_path: Path
+    ) -> None:
+        """/new waits for in-flight consolidation and archives before clear."""
+        from nanobot.agent.loop import AgentLoop
+        from nanobot.bus.events import InboundMessage
+        from nanobot.bus.queue import MessageBus
+        from nanobot.providers.base import LLMResponse
+
+        bus = MessageBus()
+        provider = MagicMock()
+        provider.get_default_model.return_value = "test-model"
+        loop = AgentLoop(
+            bus=bus, provider=provider, workspace=tmp_path, model="test-model", memory_window=10
+        )
+
+        loop.provider.chat = AsyncMock(return_value=LLMResponse(content="ok", tool_calls=[]))
+        loop.tools.get_definitions = MagicMock(return_value=[])
+
+        session = loop.sessions.get_or_create("cli:test")
+        for i in range(15):
+            session.add_message("user", f"msg{i}")
+            session.add_message("assistant", f"resp{i}")
+        loop.sessions.save(session)
+
+        started = asyncio.Event()
+        release = asyncio.Event()
+        archived_count = 0
+
+        async def _fake_consolidate(sess, archive_all: bool = False) -> bool:
+            nonlocal archived_count
+            if archive_all:
+                archived_count = len(sess.messages)
+                return True
+            started.set()
+            await release.wait()
+            return True
+
+        loop._consolidate_memory = _fake_consolidate  # type: ignore[method-assign]
+
+        msg = InboundMessage(channel="cli", sender_id="user", chat_id="test", content="hello")
+        await loop._process_message(msg)
+        await started.wait()
+
+        new_msg = InboundMessage(channel="cli", sender_id="user", chat_id="test", content="/new")
+        pending_new = asyncio.create_task(loop._process_message(new_msg))
+
+        await asyncio.sleep(0.02)
+        assert not pending_new.done(), "/new should wait while consolidation is in-flight"
+
+        release.set()
+        response = await pending_new
+        assert response is not None
+        assert "new session started" in response.content.lower()
+        assert archived_count > 0, "Expected /new archival to process a non-empty snapshot"
+
+        session_after = loop.sessions.get_or_create("cli:test")
+        assert session_after.messages == [], "Session should be cleared after successful archival"
+
+    @pytest.mark.asyncio
+    async def test_new_does_not_clear_session_when_archive_fails(self, tmp_path: Path) -> None:
+        """/new must keep session data if archive step reports failure."""
+        from nanobot.agent.loop import AgentLoop
+        from nanobot.bus.events import InboundMessage
+        from nanobot.bus.queue import MessageBus
+        from nanobot.providers.base import LLMResponse
+
+        bus = MessageBus()
+        provider = MagicMock()
+        provider.get_default_model.return_value = "test-model"
+        loop = AgentLoop(
+            bus=bus, provider=provider, workspace=tmp_path, model="test-model", memory_window=10
+        )
+
+        loop.provider.chat = AsyncMock(return_value=LLMResponse(content="ok", tool_calls=[]))
+        loop.tools.get_definitions = MagicMock(return_value=[])
+
+        session = loop.sessions.get_or_create("cli:test")
+        for i in range(5):
+            session.add_message("user", f"msg{i}")
+            session.add_message("assistant", f"resp{i}")
+        loop.sessions.save(session)
+        before_count = len(session.messages)
+
+        async def _failing_consolidate(sess, archive_all: bool = False) -> bool:
+            if archive_all:
+                return False
+            return True
+
+        loop._consolidate_memory = _failing_consolidate  # type: ignore[method-assign]
+
+        new_msg = InboundMessage(channel="cli", sender_id="user", chat_id="test", content="/new")
+        response = await loop._process_message(new_msg)
+
+        assert response is not None
+        assert "failed" in response.content.lower()
+        session_after = loop.sessions.get_or_create("cli:test")
+        assert len(session_after.messages) == before_count, (
+            "Session must remain intact when /new archival fails"
+        )
+
+    @pytest.mark.asyncio
+    async def test_new_archives_only_unconsolidated_messages_after_inflight_task(
+        self, tmp_path: Path
+    ) -> None:
+        """/new should archive only messages not yet consolidated by prior task."""
+        from nanobot.agent.loop import AgentLoop
+        from nanobot.bus.events import InboundMessage
+        from nanobot.bus.queue import MessageBus
+        from nanobot.providers.base import LLMResponse
+
+        bus = MessageBus()
+        provider = MagicMock()
+        provider.get_default_model.return_value = "test-model"
+        loop = AgentLoop(
+            bus=bus, provider=provider, workspace=tmp_path, model="test-model", memory_window=10
+        )
+
+        loop.provider.chat = AsyncMock(return_value=LLMResponse(content="ok", tool_calls=[]))
+        loop.tools.get_definitions = MagicMock(return_value=[])
+
+        session = loop.sessions.get_or_create("cli:test")
+        for i in range(15):
+            session.add_message("user", f"msg{i}")
+            session.add_message("assistant", f"resp{i}")
+        loop.sessions.save(session)
+
+        started = asyncio.Event()
+        release = asyncio.Event()
+        archived_count = -1
+
+        async def _fake_consolidate(sess, archive_all: bool = False) -> bool:
+            nonlocal archived_count
+            if archive_all:
+                archived_count = len(sess.messages)
+                return True
+
+            started.set()
+            await release.wait()
+            sess.last_consolidated = len(sess.messages) - 3
+            return True
+
+        loop._consolidate_memory = _fake_consolidate  # type: ignore[method-assign]
+
+        msg = InboundMessage(channel="cli", sender_id="user", chat_id="test", content="hello")
+        await loop._process_message(msg)
+        await started.wait()
+
+        new_msg = InboundMessage(channel="cli", sender_id="user", chat_id="test", content="/new")
+        pending_new = asyncio.create_task(loop._process_message(new_msg))
+        await asyncio.sleep(0.02)
+        assert not pending_new.done()
+
+        release.set()
+        response = await pending_new
+
+        assert response is not None
+        assert "new session started" in response.content.lower()
+        assert archived_count == 3, (
+            f"Expected only unconsolidated tail to archive, got {archived_count}"
+        )
+
+    @pytest.mark.asyncio
+    async def test_new_clears_session_and_responds(self, tmp_path: Path) -> None:
+        """/new clears session and returns confirmation."""
+        from nanobot.agent.loop import AgentLoop
+        from nanobot.bus.events import InboundMessage
+        from nanobot.bus.queue import MessageBus
+        from nanobot.providers.base import LLMResponse
+
+        bus = MessageBus()
+        provider = MagicMock()
+        provider.get_default_model.return_value = "test-model"
+        loop = AgentLoop(
+            bus=bus, provider=provider, workspace=tmp_path, model="test-model", memory_window=10
+        )
+        loop.provider.chat = AsyncMock(return_value=LLMResponse(content="ok", tool_calls=[]))
+        loop.tools.get_definitions = MagicMock(return_value=[])
+
+        session = loop.sessions.get_or_create("cli:test")
+        for i in range(3):
+            session.add_message("user", f"msg{i}")
+            session.add_message("assistant", f"resp{i}")
+        loop.sessions.save(session)
+
+        async def _ok_consolidate(sess, archive_all: bool = False) -> bool:
+            return True
+
+        loop._consolidate_memory = _ok_consolidate  # type: ignore[method-assign]
+
+        new_msg = InboundMessage(channel="cli", sender_id="user", chat_id="test", content="/new")
+        response = await loop._process_message(new_msg)
+
+        assert response is not None
+        assert "new session started" in response.content.lower()
+        assert loop.sessions.get_or_create("cli:test").messages == []

tests/test_context_prompt_cache.py

@@ -0,0 +1,66 @@
+"""Tests for cache-friendly prompt construction."""
+
+from __future__ import annotations
+
+from datetime import datetime as real_datetime
+from pathlib import Path
+import datetime as datetime_module
+
+from nanobot.agent.context import ContextBuilder
+
+
+class _FakeDatetime(real_datetime):
+    current = real_datetime(2026, 2, 24, 13, 59)
+
+    @classmethod
+    def now(cls, tz=None):  # type: ignore[override]
+        return cls.current
+
+
+def _make_workspace(tmp_path: Path) -> Path:
+    workspace = tmp_path / "workspace"
+    workspace.mkdir(parents=True)
+    return workspace
+
+
+def test_system_prompt_stays_stable_when_clock_changes(tmp_path, monkeypatch) -> None:
+    """System prompt should not change just because wall clock minute changes."""
+    monkeypatch.setattr(datetime_module, "datetime", _FakeDatetime)
+
+    workspace = _make_workspace(tmp_path)
+    builder = ContextBuilder(workspace)
+
+    _FakeDatetime.current = real_datetime(2026, 2, 24, 13, 59)
+    prompt1 = builder.build_system_prompt()
+
+    _FakeDatetime.current = real_datetime(2026, 2, 24, 14, 0)
+    prompt2 = builder.build_system_prompt()
+
+    assert prompt1 == prompt2
+
+
+def test_runtime_context_is_separate_untrusted_user_message(tmp_path) -> None:
+    """Runtime metadata should be a separate user message before the actual user message."""
+    workspace = _make_workspace(tmp_path)
+    builder = ContextBuilder(workspace)
+
+    messages = builder.build_messages(
+        history=[],
+        current_message="Return exactly: OK",
+        channel="cli",
+        chat_id="direct",
+    )
+
+    assert messages[0]["role"] == "system"
+    assert "## Current Session" not in messages[0]["content"]
+
+    assert messages[-2]["role"] == "user"
+    runtime_content = messages[-2]["content"]
+    assert isinstance(runtime_content, str)
+    assert ContextBuilder._RUNTIME_CONTEXT_TAG in runtime_content
+    assert "Current Time:" in runtime_content
+    assert "Channel: cli" in runtime_content
+    assert "Chat ID: direct" in runtime_content
+
+    assert messages[-1]["role"] == "user"
+    assert messages[-1]["content"] == "Return exactly: OK"

tests/test_email_channel.py

@@ -169,7 +169,8 @@ async def test_send_uses_smtp_and_reply_subject(monkeypatch) -> None:
 
 
 @pytest.mark.asyncio
-async def test_send_skips_when_auto_reply_disabled(monkeypatch) -> None:
+async def test_send_skips_reply_when_auto_reply_disabled(monkeypatch) -> None:
+    """When auto_reply_enabled=False, replies should be skipped but proactive sends allowed."""
     class FakeSMTP:
         def __init__(self, _host: str, _port: int, timeout: int = 30) -> None:
             self.sent_messages: list[EmailMessage] = []
@@ -201,6 +202,11 @@ async def test_send_skips_when_auto_reply_disabled(monkeypatch) -> None:
     cfg = _make_config()
     cfg.auto_reply_enabled = False
     channel = EmailChannel(cfg, MessageBus())
+
+    # Mark alice as someone who sent us an email (making this a "reply")
+    channel._last_subject_by_chat["alice@example.com"] = "Previous email"
+
+    # Reply should be skipped (auto_reply_enabled=False)
     await channel.send(
         OutboundMessage(
             channel="email",
@@ -210,6 +216,7 @@ async def test_send_skips_when_auto_reply_disabled(monkeypatch) -> None:
     )
     assert fake_instances == []
 
+    # Reply with force_send=True should be sent
     await channel.send(
         OutboundMessage(
             channel="email",
@@ -222,6 +229,56 @@ async def test_send_skips_when_auto_reply_disabled(monkeypatch) -> None:
     assert len(fake_instances[0].sent_messages) == 1
 
 
+@pytest.mark.asyncio
+async def test_send_proactive_email_when_auto_reply_disabled(monkeypatch) -> None:
+    """Proactive emails (not replies) should be sent even when auto_reply_enabled=False."""
+    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())
+
+    # bob@example.com has never sent us an email (proactive send)
+    # This should be sent even with auto_reply_enabled=False
+    await channel.send(
+        OutboundMessage(
+            channel="email",
+            chat_id="bob@example.com",
+            content="Hello, this is a proactive email.",
+        )
+    )
+    assert len(fake_instances) == 1
+    assert len(fake_instances[0].sent_messages) == 1
+    sent = fake_instances[0].sent_messages[0]
+    assert sent["To"] == "bob@example.com"
+
+
 @pytest.mark.asyncio
 async def test_send_skips_when_consent_not_granted(monkeypatch) -> None:
     class FakeSMTP:

tests/test_heartbeat_service.py

@@ -0,0 +1,117 @@
+import asyncio
+
+import pytest
+
+from nanobot.heartbeat.service import HeartbeatService
+from nanobot.providers.base import LLMResponse, ToolCallRequest
+
+
+class DummyProvider:
+    def __init__(self, responses: list[LLMResponse]):
+        self._responses = list(responses)
+
+    async def chat(self, *args, **kwargs) -> LLMResponse:
+        if self._responses:
+            return self._responses.pop(0)
+        return LLMResponse(content="", tool_calls=[])
+
+
+@pytest.mark.asyncio
+async def test_start_is_idempotent(tmp_path) -> None:
+    provider = DummyProvider([])
+
+    service = HeartbeatService(
+        workspace=tmp_path,
+        provider=provider,
+        model="openai/gpt-4o-mini",
+        interval_s=9999,
+        enabled=True,
+    )
+
+    await service.start()
+    first_task = service._task
+    await service.start()
+
+    assert service._task is first_task
+
+    service.stop()
+    await asyncio.sleep(0)
+
+
+@pytest.mark.asyncio
+async def test_decide_returns_skip_when_no_tool_call(tmp_path) -> None:
+    provider = DummyProvider([LLMResponse(content="no tool call", tool_calls=[])])
+    service = HeartbeatService(
+        workspace=tmp_path,
+        provider=provider,
+        model="openai/gpt-4o-mini",
+    )
+
+    action, tasks = await service._decide("heartbeat content")
+    assert action == "skip"
+    assert tasks == ""
+
+
+@pytest.mark.asyncio
+async def test_trigger_now_executes_when_decision_is_run(tmp_path) -> None:
+    (tmp_path / "HEARTBEAT.md").write_text("- [ ] do thing", encoding="utf-8")
+
+    provider = DummyProvider([
+        LLMResponse(
+            content="",
+            tool_calls=[
+                ToolCallRequest(
+                    id="hb_1",
+                    name="heartbeat",
+                    arguments={"action": "run", "tasks": "check open tasks"},
+                )
+            ],
+        )
+    ])
+
+    called_with: list[str] = []
+
+    async def _on_execute(tasks: str) -> str:
+        called_with.append(tasks)
+        return "done"
+
+    service = HeartbeatService(
+        workspace=tmp_path,
+        provider=provider,
+        model="openai/gpt-4o-mini",
+        on_execute=_on_execute,
+    )
+
+    result = await service.trigger_now()
+    assert result == "done"
+    assert called_with == ["check open tasks"]
+
+
+@pytest.mark.asyncio
+async def test_trigger_now_returns_none_when_decision_is_skip(tmp_path) -> None:
+    (tmp_path / "HEARTBEAT.md").write_text("- [ ] do thing", encoding="utf-8")
+
+    provider = DummyProvider([
+        LLMResponse(
+            content="",
+            tool_calls=[
+                ToolCallRequest(
+                    id="hb_1",
+                    name="heartbeat",
+                    arguments={"action": "skip"},
+                )
+            ],
+        )
+    ])
+
+    async def _on_execute(tasks: str) -> str:
+        return tasks
+
+    service = HeartbeatService(
+        workspace=tmp_path,
+        provider=provider,
+        model="openai/gpt-4o-mini",
+        on_execute=_on_execute,
+    )
+
+    assert await service.trigger_now() is None

tests/test_memory_consolidation_types.py

@@ -0,0 +1,147 @@
+"""Test MemoryStore.consolidate() handles non-string tool call arguments.
+
+Regression test for https://github.com/HKUDS/nanobot/issues/1042
+When memory consolidation receives dict values instead of strings from the LLM
+tool call response, it should serialize them to JSON instead of raising TypeError.
+"""
+
+import json
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from nanobot.agent.memory import MemoryStore
+from nanobot.providers.base import LLMResponse, ToolCallRequest
+
+
+def _make_session(message_count: int = 30, memory_window: int = 50):
+    """Create a mock session with messages."""
+    session = MagicMock()
+    session.messages = [
+        {"role": "user", "content": f"msg{i}", "timestamp": "2026-01-01 00:00"}
+        for i in range(message_count)
+    ]
+    session.last_consolidated = 0
+    return session
+
+
+def _make_tool_response(history_entry, memory_update):
+    """Create an LLMResponse with a save_memory tool call."""
+    return LLMResponse(
+        content=None,
+        tool_calls=[
+            ToolCallRequest(
+                id="call_1",
+                name="save_memory",
+                arguments={
+                    "history_entry": history_entry,
+                    "memory_update": memory_update,
+                },
+            )
+        ],
+    )
+
+
+class TestMemoryConsolidationTypeHandling:
+    """Test that consolidation handles various argument types correctly."""
+
+    @pytest.mark.asyncio
+    async def test_string_arguments_work(self, tmp_path: Path) -> None:
+        """Normal case: LLM returns string arguments."""
+        store = MemoryStore(tmp_path)
+        provider = AsyncMock()
+        provider.chat = AsyncMock(
+            return_value=_make_tool_response(
+                history_entry="[2026-01-01] User discussed testing.",
+                memory_update="# Memory\nUser likes testing.",
+            )
+        )
+        session = _make_session(message_count=60)
+
+        result = await store.consolidate(session, provider, "test-model", memory_window=50)
+
+        assert result is True
+        assert store.history_file.exists()
+        assert "[2026-01-01] User discussed testing." in store.history_file.read_text()
+        assert "User likes testing." in store.memory_file.read_text()
+
+    @pytest.mark.asyncio
+    async def test_dict_arguments_serialized_to_json(self, tmp_path: Path) -> None:
+        """Issue #1042: LLM returns dict instead of string — must not raise TypeError."""
+        store = MemoryStore(tmp_path)
+        provider = AsyncMock()
+        provider.chat = AsyncMock(
+            return_value=_make_tool_response(
+                history_entry={"timestamp": "2026-01-01", "summary": "User discussed testing."},
+                memory_update={"facts": ["User likes testing"], "topics": ["testing"]},
+            )
+        )
+        session = _make_session(message_count=60)
+
+        result = await store.consolidate(session, provider, "test-model", memory_window=50)
+
+        assert result is True
+        assert store.history_file.exists()
+        history_content = store.history_file.read_text()
+        parsed = json.loads(history_content.strip())
+        assert parsed["summary"] == "User discussed testing."
+
+        memory_content = store.memory_file.read_text()
+        parsed_mem = json.loads(memory_content)
+        assert "User likes testing" in parsed_mem["facts"]
+
+    @pytest.mark.asyncio
+    async def test_string_arguments_as_raw_json(self, tmp_path: Path) -> None:
+        """Some providers return arguments as a JSON string instead of parsed dict."""
+        store = MemoryStore(tmp_path)
+        provider = AsyncMock()
+
+        # Simulate arguments being a JSON string (not yet parsed)
+        response = LLMResponse(
+            content=None,
+            tool_calls=[
+                ToolCallRequest(
+                    id="call_1",
+                    name="save_memory",
+                    arguments=json.dumps({
+                        "history_entry": "[2026-01-01] User discussed testing.",
+                        "memory_update": "# Memory\nUser likes testing.",
+                    }),
+                )
+            ],
+        )
+        provider.chat = AsyncMock(return_value=response)
+        session = _make_session(message_count=60)
+
+        result = await store.consolidate(session, provider, "test-model", memory_window=50)
+
+        assert result is True
+        assert "User discussed testing." in store.history_file.read_text()
+
+    @pytest.mark.asyncio
+    async def test_no_tool_call_returns_false(self, tmp_path: Path) -> None:
+        """When LLM doesn't use the save_memory tool, return False."""
+        store = MemoryStore(tmp_path)
+        provider = AsyncMock()
+        provider.chat = AsyncMock(
+            return_value=LLMResponse(content="I summarized the conversation.", tool_calls=[])
+        )
+        session = _make_session(message_count=60)
+
+        result = await store.consolidate(session, provider, "test-model", memory_window=50)
+
+        assert result is False
+        assert not store.history_file.exists()
+
+    @pytest.mark.asyncio
+    async def test_skips_when_few_messages(self, tmp_path: Path) -> None:
+        """Consolidation should be a no-op when messages < keep_count."""
+        store = MemoryStore(tmp_path)
+        provider = AsyncMock()
+        session = _make_session(message_count=10)
+
+        result = await store.consolidate(session, provider, "test-model", memory_window=50)
+
+        assert result is True
+        provider.chat.assert_not_called()

tests/test_message_tool.py

@@ -0,0 +1,10 @@
+import pytest
+
+from nanobot.agent.tools.message import MessageTool
+
+
+@pytest.mark.asyncio
+async def test_message_tool_returns_error_when_no_target_context() -> None:
+    tool = MessageTool()
+    result = await tool.execute(content="test")
+    assert result == "Error: No target channel/chat specified"

tests/test_message_tool_suppress.py

@@ -0,0 +1,103 @@
+"""Test message tool suppress logic for final replies."""
+
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from nanobot.agent.loop import AgentLoop
+from nanobot.agent.tools.message import MessageTool
+from nanobot.bus.events import InboundMessage, OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.providers.base import LLMResponse, ToolCallRequest
+
+
+def _make_loop(tmp_path: Path) -> AgentLoop:
+    bus = MessageBus()
+    provider = MagicMock()
+    provider.get_default_model.return_value = "test-model"
+    return AgentLoop(bus=bus, provider=provider, workspace=tmp_path, model="test-model", memory_window=10)
+
+
+class TestMessageToolSuppressLogic:
+    """Final reply suppressed only when message tool sends to the same target."""
+
+    @pytest.mark.asyncio
+    async def test_suppress_when_sent_to_same_target(self, tmp_path: Path) -> None:
+        loop = _make_loop(tmp_path)
+        tool_call = ToolCallRequest(
+            id="call1", name="message",
+            arguments={"content": "Hello", "channel": "feishu", "chat_id": "chat123"},
+        )
+        calls = iter([
+            LLMResponse(content="", tool_calls=[tool_call]),
+            LLMResponse(content="Done", tool_calls=[]),
+        ])
+        loop.provider.chat = AsyncMock(side_effect=lambda *a, **kw: next(calls))
+        loop.tools.get_definitions = MagicMock(return_value=[])
+
+        sent: list[OutboundMessage] = []
+        mt = loop.tools.get("message")
+        if isinstance(mt, MessageTool):
+            mt.set_send_callback(AsyncMock(side_effect=lambda m: sent.append(m)))
+
+        msg = InboundMessage(channel="feishu", sender_id="user1", chat_id="chat123", content="Send")
+        result = await loop._process_message(msg)
+
+        assert len(sent) == 1
+        assert result is None  # suppressed
+
+    @pytest.mark.asyncio
+    async def test_not_suppress_when_sent_to_different_target(self, tmp_path: Path) -> None:
+        loop = _make_loop(tmp_path)
+        tool_call = ToolCallRequest(
+            id="call1", name="message",
+            arguments={"content": "Email content", "channel": "email", "chat_id": "user@example.com"},
+        )
+        calls = iter([
+            LLMResponse(content="", tool_calls=[tool_call]),
+            LLMResponse(content="I've sent the email.", tool_calls=[]),
+        ])
+        loop.provider.chat = AsyncMock(side_effect=lambda *a, **kw: next(calls))
+        loop.tools.get_definitions = MagicMock(return_value=[])
+
+        sent: list[OutboundMessage] = []
+        mt = loop.tools.get("message")
+        if isinstance(mt, MessageTool):
+            mt.set_send_callback(AsyncMock(side_effect=lambda m: sent.append(m)))
+
+        msg = InboundMessage(channel="feishu", sender_id="user1", chat_id="chat123", content="Send email")
+        result = await loop._process_message(msg)
+
+        assert len(sent) == 1
+        assert sent[0].channel == "email"
+        assert result is not None  # not suppressed
+        assert result.channel == "feishu"
+
+    @pytest.mark.asyncio
+    async def test_not_suppress_when_no_message_tool_used(self, tmp_path: Path) -> None:
+        loop = _make_loop(tmp_path)
+        loop.provider.chat = AsyncMock(return_value=LLMResponse(content="Hello!", tool_calls=[]))
+        loop.tools.get_definitions = MagicMock(return_value=[])
+
+        msg = InboundMessage(channel="feishu", sender_id="user1", chat_id="chat123", content="Hi")
+        result = await loop._process_message(msg)
+
+        assert result is not None
+        assert "Hello" in result.content
+
+
+class TestMessageToolTurnTracking:
+
+    def test_sent_in_turn_tracks_same_target(self) -> None:
+        tool = MessageTool()
+        tool.set_context("feishu", "chat1")
+        assert not tool._sent_in_turn
+        tool._sent_in_turn = True
+        assert tool._sent_in_turn
+
+    def test_start_turn_resets(self) -> None:
+        tool = MessageTool()
+        tool._sent_in_turn = True
+        tool.start_turn()
+        assert not tool._sent_in_turn

tests/test_task_cancel.py

@@ -0,0 +1,167 @@
+"""Tests for /stop task cancellation."""
+
+from __future__ import annotations
+
+import asyncio
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+
+def _make_loop():
+    """Create a minimal AgentLoop with mocked dependencies."""
+    from nanobot.agent.loop import AgentLoop
+    from nanobot.bus.queue import MessageBus
+
+    bus = MessageBus()
+    provider = MagicMock()
+    provider.get_default_model.return_value = "test-model"
+    workspace = MagicMock()
+    workspace.__truediv__ = MagicMock(return_value=MagicMock())
+
+    with patch("nanobot.agent.loop.ContextBuilder"), \
+         patch("nanobot.agent.loop.SessionManager"), \
+         patch("nanobot.agent.loop.SubagentManager") as MockSubMgr:
+        MockSubMgr.return_value.cancel_by_session = AsyncMock(return_value=0)
+        loop = AgentLoop(bus=bus, provider=provider, workspace=workspace)
+    return loop, bus
+
+
+class TestHandleStop:
+    @pytest.mark.asyncio
+    async def test_stop_no_active_task(self):
+        from nanobot.bus.events import InboundMessage
+
+        loop, bus = _make_loop()
+        msg = InboundMessage(channel="test", sender_id="u1", chat_id="c1", content="/stop")
+        await loop._handle_stop(msg)
+        out = await asyncio.wait_for(bus.consume_outbound(), timeout=1.0)
+        assert "No active task" in out.content
+
+    @pytest.mark.asyncio
+    async def test_stop_cancels_active_task(self):
+        from nanobot.bus.events import InboundMessage
+
+        loop, bus = _make_loop()
+        cancelled = asyncio.Event()
+
+        async def slow_task():
+            try:
+                await asyncio.sleep(60)
+            except asyncio.CancelledError:
+                cancelled.set()
+                raise
+
+        task = asyncio.create_task(slow_task())
+        await asyncio.sleep(0)
+        loop._active_tasks["test:c1"] = [task]
+
+        msg = InboundMessage(channel="test", sender_id="u1", chat_id="c1", content="/stop")
+        await loop._handle_stop(msg)
+
+        assert cancelled.is_set()
+        out = await asyncio.wait_for(bus.consume_outbound(), timeout=1.0)
+        assert "stopped" in out.content.lower()
+
+    @pytest.mark.asyncio
+    async def test_stop_cancels_multiple_tasks(self):
+        from nanobot.bus.events import InboundMessage
+
+        loop, bus = _make_loop()
+        events = [asyncio.Event(), asyncio.Event()]
+
+        async def slow(idx):
+            try:
+                await asyncio.sleep(60)
+            except asyncio.CancelledError:
+                events[idx].set()
+                raise
+
+        tasks = [asyncio.create_task(slow(i)) for i in range(2)]
+        await asyncio.sleep(0)
+        loop._active_tasks["test:c1"] = tasks
+
+        msg = InboundMessage(channel="test", sender_id="u1", chat_id="c1", content="/stop")
+        await loop._handle_stop(msg)
+
+        assert all(e.is_set() for e in events)
+        out = await asyncio.wait_for(bus.consume_outbound(), timeout=1.0)
+        assert "2 task" in out.content
+
+
+class TestDispatch:
+    @pytest.mark.asyncio
+    async def test_dispatch_processes_and_publishes(self):
+        from nanobot.bus.events import InboundMessage, OutboundMessage
+
+        loop, bus = _make_loop()
+        msg = InboundMessage(channel="test", sender_id="u1", chat_id="c1", content="hello")
+        loop._process_message = AsyncMock(
+            return_value=OutboundMessage(channel="test", chat_id="c1", content="hi")
+        )
+        await loop._dispatch(msg)
+        out = await asyncio.wait_for(bus.consume_outbound(), timeout=1.0)
+        assert out.content == "hi"
+
+    @pytest.mark.asyncio
+    async def test_processing_lock_serializes(self):
+        from nanobot.bus.events import InboundMessage, OutboundMessage
+
+        loop, bus = _make_loop()
+        order = []
+
+        async def mock_process(m, **kwargs):
+            order.append(f"start-{m.content}")
+            await asyncio.sleep(0.05)
+            order.append(f"end-{m.content}")
+            return OutboundMessage(channel="test", chat_id="c1", content=m.content)
+
+        loop._process_message = mock_process
+        msg1 = InboundMessage(channel="test", sender_id="u1", chat_id="c1", content="a")
+        msg2 = InboundMessage(channel="test", sender_id="u1", chat_id="c1", content="b")
+
+        t1 = asyncio.create_task(loop._dispatch(msg1))
+        t2 = asyncio.create_task(loop._dispatch(msg2))
+        await asyncio.gather(t1, t2)
+        assert order == ["start-a", "end-a", "start-b", "end-b"]
+
+
+class TestSubagentCancellation:
+    @pytest.mark.asyncio
+    async def test_cancel_by_session(self):
+        from nanobot.agent.subagent import SubagentManager
+        from nanobot.bus.queue import MessageBus
+
+        bus = MessageBus()
+        provider = MagicMock()
+        provider.get_default_model.return_value = "test-model"
+        mgr = SubagentManager(provider=provider, workspace=MagicMock(), bus=bus)
+
+        cancelled = asyncio.Event()
+
+        async def slow():
+            try:
+                await asyncio.sleep(60)
+            except asyncio.CancelledError:
+                cancelled.set()
+                raise
+
+        task = asyncio.create_task(slow())
+        await asyncio.sleep(0)
+        mgr._running_tasks["sub-1"] = task
+        mgr._session_tasks["test:c1"] = {"sub-1"}
+
+        count = await mgr.cancel_by_session("test:c1")
+        assert count == 1
+        assert cancelled.is_set()
+
+    @pytest.mark.asyncio
+    async def test_cancel_by_session_no_tasks(self):
+        from nanobot.agent.subagent import SubagentManager
+        from nanobot.bus.queue import MessageBus
+
+        bus = MessageBus()
+        provider = MagicMock()
+        provider.get_default_model.return_value = "test-model"
+        mgr = SubagentManager(provider=provider, workspace=MagicMock(), bus=bus)
+        assert await mgr.cancel_by_session("nonexistent") == 0

tests/test_tool_validation.py

@@ -2,6 +2,7 @@ from typing import Any
 
 from nanobot.agent.tools.base import Tool
 from nanobot.agent.tools.registry import ToolRegistry
+from nanobot.agent.tools.shell import ExecTool
 
 
 class SampleTool(Tool):
@@ -86,3 +87,22 @@ async def test_registry_returns_validation_error() -> None:
     reg.register(SampleTool())
     result = await reg.execute("sample", {"query": "hi"})
     assert "Invalid parameters" in result
+
+
+def test_exec_extract_absolute_paths_keeps_full_windows_path() -> None:
+    cmd = r"type C:\user\workspace\txt"
+    paths = ExecTool._extract_absolute_paths(cmd)
+    assert paths == [r"C:\user\workspace\txt"]
+
+
+def test_exec_extract_absolute_paths_ignores_relative_posix_segments() -> None:
+    cmd = ".venv/bin/python script.py"
+    paths = ExecTool._extract_absolute_paths(cmd)
+    assert "/bin/python" not in paths
+
+
+def test_exec_extract_absolute_paths_captures_posix_absolute_paths() -> None:
+    cmd = "cat /tmp/data.txt > /tmp/out.txt"
+    paths = ExecTool._extract_absolute_paths(cmd)
+    assert "/tmp/data.txt" in paths
+    assert "/tmp/out.txt" in paths

workspace/AGENTS.md

@@ -1,51 +0,0 @@
-# Agent Instructions
-
-You are a helpful AI assistant. Be concise, accurate, and friendly.
-
-## Guidelines
-
-- 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
-
-## Tools Available
-
-You have access to:
-- File operations (read, write, edit, list)
-- Shell commands (exec)
-- Web access (search, fetch)
-- Messaging (message)
-- Background tasks (spawn)
-
-## Memory
-
-- `memory/MEMORY.md` — long-term facts (preferences, context, relationships)
-- `memory/HISTORY.md` — append-only event log, search with grep to recall past events
-
-## Scheduled Reminders
-
-When user asks for a reminder at a specific time, use `exec` to run:
-```
-nanobot cron add --name "reminder" --message "Your message" --at "YYYY-MM-DDTHH:MM:SS" --deliver --to "USER_ID" --channel "CHANNEL"
-```
-Get USER_ID and CHANNEL from the current session (e.g., `8281248569` and `telegram` from `telegram:8281248569`).
-
-**Do NOT just write reminders to MEMORY.md** — that won't trigger actual notifications.
-
-## Heartbeat Tasks
-
-`HEARTBEAT.md` is checked every 30 minutes. You can manage periodic tasks by editing this file:
-
-- **Add a task**: Use `edit_file` to append new tasks to `HEARTBEAT.md`
-- **Remove a task**: Use `edit_file` to remove completed or obsolete tasks
-- **Rewrite tasks**: Use `write_file` to completely rewrite the task list
-
-Task format examples:
-```
-- [ ] Check calendar and remind of upcoming events
-- [ ] Scan inbox for urgent emails
-- [ ] Check weather forecast for today
-```
-
-When the user asks you to add a recurring/periodic task, update `HEARTBEAT.md` instead of creating a one-time reminder. Keep the file small to minimize token usage.

workspace/TOOLS.md

@@ -1,150 +0,0 @@
-# Available Tools
-
-This document describes the tools available to nanobot.
-
-## File Operations
-
-### read_file
-Read the contents of a file.
-```
-read_file(path: str) -> str
-```
-
-### write_file
-Write content to a file (creates parent directories if needed).
-```
-write_file(path: str, content: str) -> str
-```
-
-### edit_file
-Edit a file by replacing specific text.
-```
-edit_file(path: str, old_text: str, new_text: str) -> str
-```
-
-### list_dir
-List contents of a directory.
-```
-list_dir(path: str) -> str
-```
-
-## Shell Execution
-
-### exec
-Execute a shell command and return output.
-```
-exec(command: str, working_dir: str = None) -> str
-```
-
-**Safety Notes:**
-- Commands have a configurable timeout (default 60s)
-- Dangerous commands are blocked (rm -rf, format, dd, shutdown, etc.)
-- Output is truncated at 10,000 characters
-- Optional `restrictToWorkspace` config to limit paths
-
-## Web Access
-
-### web_search
-Search the web using Brave Search API.
-```
-web_search(query: str, count: int = 5) -> str
-```
-
-Returns search results with titles, URLs, and snippets. Requires `tools.web.search.apiKey` in config.
-
-### web_fetch
-Fetch and extract main content from a URL.
-```
-web_fetch(url: str, extractMode: str = "markdown", maxChars: int = 50000) -> str
-```
-
-**Notes:**
-- Content is extracted using readability
-- Supports markdown or plain text extraction
-- Output is truncated at 50,000 characters by default
-
-## Communication
-
-### message
-Send a message to the user (used internally).
-```
-message(content: str, channel: str = None, chat_id: str = None) -> str
-```
-
-## Background Tasks
-
-### spawn
-Spawn a subagent to handle a task in the background.
-```
-spawn(task: str, label: str = None) -> str
-```
-
-Use for complex or time-consuming tasks that can run independently. The subagent will complete the task and report back when done.
-
-## Scheduled Reminders (Cron)
-
-Use the `exec` tool to create scheduled reminders with `nanobot cron add`:
-
-### Set a recurring reminder
-```bash
-# Every day at 9am
-nanobot cron add --name "morning" --message "Good morning! ☀️" --cron "0 9 * * *"
-
-# Every 2 hours
-nanobot cron add --name "water" --message "Drink water! 💧" --every 7200
-```
-
-### Set a one-time reminder
-```bash
-# At a specific time (ISO format)
-nanobot cron add --name "meeting" --message "Meeting starts now!" --at "2025-01-31T15:00:00"
-```
-
-### Manage reminders
-```bash
-nanobot cron list              # List all jobs
-nanobot cron remove <job_id>   # Remove a job
-```
-
-## Heartbeat Task Management
-
-The `HEARTBEAT.md` file in the workspace is checked every 30 minutes.
-Use file operations to manage periodic tasks:
-
-### Add a heartbeat task
-```python
-# Append a new task
-edit_file(
-    path="HEARTBEAT.md",
-    old_text="## Example Tasks",
-    new_text="- [ ] New periodic task here\n\n## Example Tasks"
-)
-```
-
-### Remove a heartbeat task
-```python
-# Remove a specific task
-edit_file(
-    path="HEARTBEAT.md",
-    old_text="- [ ] Task to remove\n",
-    new_text=""
-)
-```
-
-### Rewrite all tasks
-```python
-# Replace the entire file
-write_file(
-    path="HEARTBEAT.md",
-    content="# Heartbeat Tasks\n\n- [ ] Task 1\n- [ ] Task 2\n"
-)
-```
-
----
-
-## Adding Custom Tools
-
-To add custom tools:
-1. Create a class that extends `Tool` in `nanobot/agent/tools/`
-2. Implement `name`, `description`, `parameters`, and `execute`
-3. Register it in `AgentLoop._register_default_tools()`