Merge remote-tracking branch 'origin/main' into pr-2717-review

.gitignore

@@ -2,6 +2,7 @@
 .assets
 .docs
 .env
+.web
 *.pyc
 dist/
 build/

README.md

@@ -20,13 +20,20 @@
 
 ## 📢 News
 
-> [!IMPORTANT]
+- **2026-04-02** 🧱 **Long-running tasks** run more reliably — core runtime hardening.
-> **Security note:** Due to `litellm` supply chain poisoning, **please check your Python environment ASAP** and refer to this [advisory](https://github.com/HKUDS/nanobot/discussions/2445) for details. We have fully removed the `litellm` since **v0.1.4.post6**.
+- **2026-04-01** 🔑 GitHub Copilot auth restored; stricter workspace paths; OpenRouter Claude caching fix.
-
+- **2026-03-31** 🛰️ WeChat multimodal alignment, Discord/Matrix polish, Python SDK facade, MCP and tool fixes.
+- **2026-03-30** 🧩 OpenAI-compatible API tightened; composable agent lifecycle hooks.
+- **2026-03-29** 💬 WeChat voice, typing, QR/media resilience; fixed-session OpenAI-compatible API.
+- **2026-03-28** 📚 Provider docs refresh; skill template wording fix.
 - **2026-03-27** 🚀 Released **v0.1.4.post6** — architecture decoupling, litellm removal, end-to-end streaming, WeChat channel, and a security fix. Please see [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.4.post6) for details.
 - **2026-03-26** 🏗️ Agent runner extracted and lifecycle hooks unified; stream delta coalescing at boundaries.
 - **2026-03-25** 🌏 StepFun provider, configurable timezone, Gemini thought signatures.
 - **2026-03-24** 🔧 WeChat compatibility, Feishu CardKit streaming, test suite restructured.
+
+<details>
+<summary>Earlier news</summary>
+
 - **2026-03-23** 🔧 Command routing refactored for plugins, WhatsApp/WeChat media, unified channel login CLI.
 - **2026-03-22** ⚡ End-to-end streaming, WeChat channel, Anthropic cache optimization, `/status` command.
 - **2026-03-21** 🔒 Replace `litellm` with native `openai` + `anthropic` SDKs. Please see [commit](https://github.com/HKUDS/nanobot/commit/3dfdab7).
@@ -34,10 +41,6 @@
 - **2026-03-19** 💬 Telegram gets more resilient under load; Feishu now renders code blocks properly.
 - **2026-03-18** 📷 Telegram can now send media via URL. Cron schedules show human-readable details.
 - **2026-03-17** ✨ Feishu formatting glow-up, Slack reacts when done, custom endpoints support extra headers, and image handling is more reliable.
-
-<details>
-<summary>Earlier news</summary>
-
 - **2026-03-16** 🚀 Released **v0.1.4.post5** — a refinement-focused release with stronger reliability and channel support, and a more dependable day-to-day experience. Please see [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.4.post5) for details.
 - **2026-03-15** 🧩 DingTalk rich media, smarter built-in skills, and cleaner model compatibility.
 - **2026-03-14** 💬 Channel plugins, Feishu replies, and steadier MCP, QQ, and media handling.
@@ -875,6 +878,7 @@ Config file: `~/.nanobot/config.json`
 | `dashscope` | LLM (Qwen) | [dashscope.console.aliyun.com](https://dashscope.console.aliyun.com) |
 | `moonshot` | LLM (Moonshot/Kimi) | [platform.moonshot.cn](https://platform.moonshot.cn) |
 | `zhipu` | LLM (Zhipu GLM) | [open.bigmodel.cn](https://open.bigmodel.cn) |
+| `mimo` | LLM (MiMo) | [platform.xiaomimimo.com](https://platform.xiaomimimo.com) |
 | `ollama` | LLM (local, Ollama) | — |
 | `mistral` | LLM | [docs.mistral.ai](https://docs.mistral.ai/) |
 | `stepfun` | LLM (Step Fun/阶跃星辰) | [platform.stepfun.com](https://platform.stepfun.com) |
@@ -1192,16 +1196,23 @@ Global settings that apply to all channels. Configure under the `channels` secti
 
 #### Retry Behavior
 
-When a channel send operation raises an error, nanobot retries with exponential backoff:
+Retry is intentionally simple.
 
-- **Attempt 1**: Initial send
+When a channel `send()` raises, nanobot retries at the channel-manager layer. By default, `channels.sendMaxRetries` is `3`, and that count includes the initial send.
-- **Attempts 2-4**: Retry delays are 1s, 2s, 4s
+
-- **Attempts 5+**: Retry delay caps at 4s
+- **Attempt 1**: Send immediately
-- **Transient failures** (network hiccups, temporary API limits): Retry usually succeeds
+- **Attempt 2**: Retry after `1s`
-- **Permanent failures** (invalid token, channel banned): All retries fail
+- **Attempt 3**: Retry after `2s`
+- **Higher retry budgets**: Backoff continues as `1s`, `2s`, `4s`, then stays capped at `4s`
+- **Transient failures**: Network hiccups and temporary API limits often recover on the next attempt
+- **Permanent failures**: Invalid tokens, revoked access, or banned channels will exhaust the retry budget and fail cleanly
 
 > [!NOTE]
-> When a channel is completely unavailable, there's no way to notify the user since we cannot reach them through that channel. Monitor logs for "Failed to send to {channel} after N attempts" to detect persistent delivery failures.
+> This design is deliberate: channel implementations should raise on delivery failure, and the channel manager owns the shared retry policy.
+>
+> Some channels may still apply small API-specific retries internally. For example, Telegram separately retries timeout and flood-control errors before surfacing a final failure to the manager.
+>
+> If a channel is completely unreachable, nanobot cannot notify the user through that same channel. Watch logs for `Failed to send to {channel} after N attempts` to spot persistent delivery failures.
 
 ### Web Search
 
@@ -1213,17 +1224,30 @@ When a channel send operation raises an error, nanobot retries with exponential
 
 nanobot supports multiple web search providers. Configure in `~/.nanobot/config.json` under `tools.web.search`.
 
+By default, web tools are enabled and web search uses `duckduckgo`, so search works out of the box without an API key.
+
+If you want to disable all built-in web tools entirely, set `tools.web.enable` to `false`. This removes both `web_search` and `web_fetch` from the tool list sent to the LLM.
+
 | Provider | Config fields | Env var fallback | Free |
 |----------|--------------|------------------|------|
-| `brave` (default) | `apiKey` | `BRAVE_API_KEY` | No |
+| `brave` | `apiKey` | `BRAVE_API_KEY` | No |
 | `tavily` | `apiKey` | `TAVILY_API_KEY` | No |
 | `jina` | `apiKey` | `JINA_API_KEY` | Free tier (10M tokens) |
 | `searxng` | `baseUrl` | `SEARXNG_BASE_URL` | Yes (self-hosted) |
-| `duckduckgo` | — | — | Yes |
+| `duckduckgo` (default) | — | — | Yes |
 
-When credentials are missing, nanobot automatically falls back to DuckDuckGo.
+**Disable all built-in web tools:**
+```json
+{
+  "tools": {
+    "web": {
+      "enable": false
+    }
+  }
+}
+```
 
-**Brave** (default):
+**Brave:**
 ```json
 {
   "tools": {
@@ -1294,7 +1318,14 @@ When credentials are missing, nanobot automatically falls back to DuckDuckGo.
 
 | Option | Type | Default | Description |
 |--------|------|---------|-------------|
-| `provider` | string | `"brave"` | Search backend: `brave`, `tavily`, `jina`, `searxng`, `duckduckgo` |
+| `enable` | boolean | `true` | Enable or disable all built-in web tools (`web_search` + `web_fetch`) |
+| `proxy` | string or null | `null` | Proxy for all web requests, for example `http://127.0.0.1:7890` |
+
+#### `tools.web.search`
+
+| Option | Type | Default | Description |
+|--------|------|---------|-------------|
+| `provider` | string | `"duckduckgo"` | Search backend: `brave`, `tavily`, `jina`, `searxng`, `duckduckgo` |
 | `apiKey` | string | `""` | API key for Brave or Tavily |
 | `baseUrl` | string | `""` | Base URL for SearXNG |
 | `maxResults` | integer | `5` | Results per search (1–10) |

nanobot/agent/loop.py

@@ -36,7 +36,7 @@ from nanobot.utils.helpers import image_placeholder_text, truncate_text
 from nanobot.utils.runtime import EMPTY_FINAL_RESPONSE_MESSAGE
 
 if TYPE_CHECKING:
-    from nanobot.config.schema import ChannelsConfig, ExecToolConfig, WebSearchConfig
+    from nanobot.config.schema import ChannelsConfig, ExecToolConfig, WebToolsConfig
     from nanobot.cron.service import CronService
 
 
@@ -171,8 +171,7 @@ class AgentLoop:
         context_block_limit: int | None = None,
         max_tool_result_chars: int | None = None,
         provider_retry_mode: str = "standard",
-        web_search_config: WebSearchConfig | None = None,
+        web_config: WebToolsConfig | None = None,
-        web_proxy: str | None = None,
         exec_config: ExecToolConfig | None = None,
         cron_service: CronService | None = None,
         restrict_to_workspace: bool = False,
@@ -182,7 +181,7 @@ class AgentLoop:
         timezone: str | None = None,
         hooks: list[AgentHook] | None = None,
     ):
-        from nanobot.config.schema import ExecToolConfig, WebSearchConfig
+        from nanobot.config.schema import ExecToolConfig, WebToolsConfig
 
         defaults = AgentDefaults()
         self.bus = bus
@@ -205,8 +204,7 @@ class AgentLoop:
             else defaults.max_tool_result_chars
         )
         self.provider_retry_mode = provider_retry_mode
-        self.web_search_config = web_search_config or WebSearchConfig()
+        self.web_config = web_config or WebToolsConfig()
-        self.web_proxy = web_proxy
         self.exec_config = exec_config or ExecToolConfig()
         self.cron_service = cron_service
         self.restrict_to_workspace = restrict_to_workspace
@@ -223,9 +221,8 @@ class AgentLoop:
             workspace=workspace,
             bus=bus,
             model=self.model,
+            web_config=self.web_config,
             max_tool_result_chars=self.max_tool_result_chars,
-            web_search_config=self.web_search_config,
-            web_proxy=web_proxy,
             exec_config=self.exec_config,
             restrict_to_workspace=restrict_to_workspace,
         )
@@ -276,8 +273,9 @@ class AgentLoop:
                 restrict_to_workspace=self.restrict_to_workspace,
                 path_append=self.exec_config.path_append,
             ))
-        self.tools.register(WebSearchTool(config=self.web_search_config, proxy=self.web_proxy))
+        if self.web_config.enable:
-        self.tools.register(WebFetchTool(proxy=self.web_proxy))
+            self.tools.register(WebSearchTool(config=self.web_config.search, proxy=self.web_config.proxy))
+            self.tools.register(WebFetchTool(proxy=self.web_config.proxy))
         self.tools.register(MessageTool(send_callback=self.bus.publish_outbound))
         self.tools.register(SpawnTool(manager=self.subagents))
         if self.cron_service:

nanobot/agent/subagent.py

@@ -17,7 +17,7 @@ from nanobot.agent.tools.shell import ExecTool
 from nanobot.agent.tools.web import WebFetchTool, WebSearchTool
 from nanobot.bus.events import InboundMessage
 from nanobot.bus.queue import MessageBus
-from nanobot.config.schema import ExecToolConfig
+from nanobot.config.schema import ExecToolConfig, WebToolsConfig
 from nanobot.providers.base import LLMProvider
 
 
@@ -46,20 +46,18 @@ class SubagentManager:
         bus: MessageBus,
         max_tool_result_chars: int,
         model: str | None = None,
-        web_search_config: "WebSearchConfig | None" = None,
+        web_config: "WebToolsConfig | None" = None,
-        web_proxy: str | None = None,
         exec_config: "ExecToolConfig | None" = None,
         restrict_to_workspace: bool = False,
     ):
-        from nanobot.config.schema import ExecToolConfig, WebSearchConfig
+        from nanobot.config.schema import ExecToolConfig
 
         self.provider = provider
         self.workspace = workspace
         self.bus = bus
         self.model = model or provider.get_default_model()
+        self.web_config = web_config or WebToolsConfig()
         self.max_tool_result_chars = max_tool_result_chars
-        self.web_search_config = web_search_config or WebSearchConfig()
-        self.web_proxy = web_proxy
         self.exec_config = exec_config or ExecToolConfig()
         self.restrict_to_workspace = restrict_to_workspace
         self.runner = AgentRunner(provider)
@@ -124,9 +122,9 @@ class SubagentManager:
                     restrict_to_workspace=self.restrict_to_workspace,
                     path_append=self.exec_config.path_append,
                 ))
-            tools.register(WebSearchTool(config=self.web_search_config, proxy=self.web_proxy))
+            if self.web_config.enable:
-            tools.register(WebFetchTool(proxy=self.web_proxy))
+                tools.register(WebSearchTool(config=self.web_config.search, proxy=self.web_config.proxy))
-
+                tools.register(WebFetchTool(proxy=self.web_config.proxy))
             system_prompt = self._build_subagent_prompt()
             messages: list[dict[str, Any]] = [
                 {"role": "system", "content": system_prompt},

nanobot/agent/tools/filesystem.py

@@ -7,6 +7,7 @@ from typing import Any
 
 from nanobot.agent.tools.base import Tool
 from nanobot.utils.helpers import build_image_content_blocks, detect_image_mime
+from nanobot.config.paths import get_media_dir
 
 
 def _resolve_path(
@@ -21,7 +22,8 @@ def _resolve_path(
         p = workspace / p
     resolved = p.resolve()
     if allowed_dir:
-        all_dirs = [allowed_dir] + (extra_allowed_dirs or [])
+        media_path = get_media_dir().resolve()
+        all_dirs = [allowed_dir] + [media_path] + (extra_allowed_dirs or []) 
         if not any(_is_under(resolved, d) for d in all_dirs):
             raise PermissionError(f"Path {path} is outside allowed directory {allowed_dir}")
     return resolved

nanobot/agent/tools/message.py

@@ -84,6 +84,9 @@ class MessageTool(Tool):
         media: list[str] | None = None,
         **kwargs: Any
     ) -> str:
+        from nanobot.utils.helpers import strip_think
+        content = strip_think(content)
+        
         channel = channel or self._default_channel
         chat_id = chat_id or self._default_chat_id
         # Only inherit default message_id when targeting the same channel+chat.

nanobot/agent/tools/shell.py

@@ -10,6 +10,7 @@ from typing import Any
 from loguru import logger
 
 from nanobot.agent.tools.base import Tool
+from nanobot.config.paths import get_media_dir
 
 
 class ExecTool(Tool):
@@ -183,7 +184,14 @@ class ExecTool(Tool):
                     p = Path(expanded).expanduser().resolve()
                 except Exception:
                     continue
-                if p.is_absolute() and cwd_path not in p.parents and p != cwd_path:
+
+                media_path = get_media_dir().resolve()
+                if (p.is_absolute() 
+                    and cwd_path not in p.parents 
+                    and p != cwd_path
+                    and media_path not in p.parents
+                    and p != media_path
+                ):
                     return "Error: Command blocked by safety guard (path outside working dir)"
 
         return None

nanobot/channels/manager.py

@@ -11,6 +11,7 @@ from nanobot.bus.events import OutboundMessage
 from nanobot.bus.queue import MessageBus
 from nanobot.channels.base import BaseChannel
 from nanobot.config.schema import Config
+from nanobot.utils.restart import consume_restart_notice_from_env, format_restart_completed_message
 
 # Retry delays for message sending (exponential backoff: 1s, 2s, 4s)
 _SEND_RETRY_DELAYS = (1, 2, 4)
@@ -91,9 +92,28 @@ class ChannelManager:
             logger.info("Starting {} channel...", name)
             tasks.append(asyncio.create_task(self._start_channel(name, channel)))
 
+        self._notify_restart_done_if_needed()
+
         # Wait for all to complete (they should run forever)
         await asyncio.gather(*tasks, return_exceptions=True)
 
+    def _notify_restart_done_if_needed(self) -> None:
+        """Send restart completion message when runtime env markers are present."""
+        notice = consume_restart_notice_from_env()
+        if not notice:
+            return
+        target = self.channels.get(notice.channel)
+        if not target:
+            return
+        asyncio.create_task(self._send_with_retry(
+            target,
+            OutboundMessage(
+                channel=notice.channel,
+                chat_id=notice.chat_id,
+                content=format_restart_completed_message(notice.started_at_raw),
+            ),
+        ))
+
     async def stop_all(self) -> None:
         """Stop all channels and the dispatcher."""
         logger.info("Stopping all channels...")

nanobot/channels/qq.py

@@ -134,6 +134,7 @@ class QQConfig(Base):
     secret: str = ""
     allow_from: list[str] = Field(default_factory=list)
     msg_format: Literal["plain", "markdown"] = "plain"
+    ack_message: str = "⏳ Processing..."
 
     # Optional: directory to save inbound attachments. If empty, use nanobot get_media_dir("qq").
     media_dir: str = ""
@@ -484,6 +485,17 @@ class QQChannel(BaseChannel):
         if not content and not media_paths:
             return
 
+        if self.config.ack_message:
+            try:
+                await self._send_text_only(
+                    chat_id=chat_id,
+                    is_group=is_group,
+                    msg_id=data.id,
+                    content=self.config.ack_message,
+                )
+            except Exception:
+                logger.debug("QQ ack message failed for chat_id={}", chat_id)
+
         await self._handle_message(
             sender_id=user_id,
             chat_id=chat_id,

nanobot/channels/telegram.py

@@ -275,13 +275,10 @@ class TelegramChannel(BaseChannel):
         self._app = builder.build()
         self._app.add_error_handler(self._on_error)
 
-        # Add command handlers
+        # Add command handlers (using Regex to support @username suffixes before bot initialization)
-        self._app.add_handler(CommandHandler("start", self._on_start))
+        self._app.add_handler(MessageHandler(filters.Regex(r"^/start(?:@\w+)?$"), self._on_start))
-        self._app.add_handler(CommandHandler("new", self._forward_command))
+        self._app.add_handler(MessageHandler(filters.Regex(r"^/(new|stop|restart|status)(?:@\w+)?$"), self._forward_command))
-        self._app.add_handler(CommandHandler("stop", self._forward_command))
+        self._app.add_handler(MessageHandler(filters.Regex(r"^/help(?:@\w+)?$"), self._on_help))
-        self._app.add_handler(CommandHandler("restart", self._forward_command))
-        self._app.add_handler(CommandHandler("status", self._forward_command))
-        self._app.add_handler(CommandHandler("help", self._on_help))
 
         # Add message handler for text, photos, voice, documents
         self._app.add_handler(
@@ -313,7 +310,7 @@ class TelegramChannel(BaseChannel):
         # Start polling (this runs until stopped)
         await self._app.updater.start_polling(
             allowed_updates=["message"],
-            drop_pending_updates=True  # Ignore old messages on startup
+            drop_pending_updates=False  # Process pending messages on startup
         )
 
         # Keep running until stopped
@@ -362,9 +359,14 @@ class TelegramChannel(BaseChannel):
             logger.warning("Telegram bot not running")
             return
 
-        # Only stop typing indicator for final responses
+        # Only stop typing indicator and remove reaction for final responses
         if not msg.metadata.get("_progress", False):
             self._stop_typing(msg.chat_id)
+            if reply_to_message_id := msg.metadata.get("message_id"):
+                try:
+                    await self._remove_reaction(msg.chat_id, int(reply_to_message_id))
+                except ValueError:
+                    pass
 
         try:
             chat_id = int(msg.chat_id)
@@ -435,7 +437,9 @@ class TelegramChannel(BaseChannel):
                 await self._send_text(chat_id, chunk, reply_params, thread_kwargs)
 
     async def _call_with_retry(self, fn, *args, **kwargs):
-        """Call an async Telegram API function with retry on pool/network timeout."""
+        """Call an async Telegram API function with retry on pool/network timeout and RetryAfter."""
+        from telegram.error import RetryAfter
+        
         for attempt in range(1, _SEND_MAX_RETRIES + 1):
             try:
                 return await fn(*args, **kwargs)
@@ -448,6 +452,15 @@ class TelegramChannel(BaseChannel):
                     attempt, _SEND_MAX_RETRIES, delay,
                 )
                 await asyncio.sleep(delay)
+            except RetryAfter as e:
+                if attempt == _SEND_MAX_RETRIES:
+                    raise
+                delay = float(e.retry_after)
+                logger.warning(
+                    "Telegram Flood Control (attempt {}/{}), retrying in {:.1f}s",
+                    attempt, _SEND_MAX_RETRIES, delay,
+                )
+                await asyncio.sleep(delay)
 
     async def _send_text(
         self,
@@ -498,6 +511,11 @@ class TelegramChannel(BaseChannel):
             if stream_id is not None and buf.stream_id is not None and buf.stream_id != stream_id:
                 return
             self._stop_typing(chat_id)
+            if reply_to_message_id := meta.get("message_id"):
+                try:
+                    await self._remove_reaction(chat_id, int(reply_to_message_id))
+                except ValueError:
+                    pass
             try:
                 html = _markdown_to_telegram_html(buf.text)
                 await self._call_with_retry(
@@ -619,8 +637,7 @@ class TelegramChannel(BaseChannel):
             "reply_to_message_id": getattr(reply_to, "message_id", None) if reply_to else None,
         }
 
-    @staticmethod
+    async def _extract_reply_context(self, message) -> str | None:
-    def _extract_reply_context(message) -> str | None:
         """Extract text from the message being replied to, if any."""
         reply = getattr(message, "reply_to_message", None)
         if not reply:
@@ -628,7 +645,21 @@ class TelegramChannel(BaseChannel):
         text = getattr(reply, "text", None) or getattr(reply, "caption", None) or ""
         if len(text) > TELEGRAM_REPLY_CONTEXT_MAX_LEN:
             text = text[:TELEGRAM_REPLY_CONTEXT_MAX_LEN] + "..."
-        return f"[Reply to: {text}]" if text else None
+            
+        if not text:
+            return None
+            
+        bot_id, _ = await self._ensure_bot_identity()
+        reply_user = getattr(reply, "from_user", None)
+        
+        if bot_id and reply_user and getattr(reply_user, "id", None) == bot_id:
+            return f"[Reply to bot: {text}]"
+        elif reply_user and getattr(reply_user, "username", None):
+            return f"[Reply to @{reply_user.username}: {text}]"
+        elif reply_user and getattr(reply_user, "first_name", None):
+            return f"[Reply to {reply_user.first_name}: {text}]"
+        else:
+            return f"[Reply to: {text}]"
 
     async def _download_message_media(
         self, msg, *, add_failure_content: bool = False
@@ -765,10 +796,18 @@ class TelegramChannel(BaseChannel):
         message = update.message
         user = update.effective_user
         self._remember_thread_context(message)
+        
+        # Strip @bot_username suffix if present
+        content = message.text or ""
+        if content.startswith("/") and "@" in content:
+            cmd_part, *rest = content.split(" ", 1)
+            cmd_part = cmd_part.split("@")[0]
+            content = f"{cmd_part} {rest[0]}" if rest else cmd_part
+            
         await self._handle_message(
             sender_id=self._sender_id(user),
             chat_id=str(message.chat_id),
-            content=message.text or "",
+            content=content,
             metadata=self._build_message_metadata(message, user),
             session_key=self._derive_topic_session_key(message),
         )
@@ -812,7 +851,7 @@ class TelegramChannel(BaseChannel):
         # Reply context: text and/or media from the replied-to message
         reply = getattr(message, "reply_to_message", None)
         if reply is not None:
-            reply_ctx = self._extract_reply_context(message)
+            reply_ctx = await self._extract_reply_context(message)
             reply_media, reply_media_parts = await self._download_message_media(reply)
             if reply_media:
                 media_paths = reply_media + media_paths
@@ -903,6 +942,19 @@ class TelegramChannel(BaseChannel):
         except Exception as e:
             logger.debug("Telegram reaction failed: {}", e)
 
+    async def _remove_reaction(self, chat_id: str, message_id: int) -> None:
+        """Remove emoji reaction from a message (best-effort, non-blocking)."""
+        if not self._app:
+            return
+        try:
+            await self._app.bot.set_message_reaction(
+                chat_id=int(chat_id),
+                message_id=message_id,
+                reaction=[],
+            )
+        except Exception as e:
+            logger.debug("Telegram reaction removal failed: {}", e)
+
     async def _typing_loop(self, chat_id: str) -> None:
         """Repeatedly send 'typing' action until cancelled."""
         try:

nanobot/channels/weixin.py

@@ -13,7 +13,6 @@ import asyncio
 import base64
 import hashlib
 import json
-import mimetypes
 import os
 import random
 import re
@@ -158,6 +157,7 @@ class WeixinChannel(BaseChannel):
         self._poll_task: asyncio.Task | None = None
         self._next_poll_timeout_s: int = DEFAULT_LONG_POLL_TIMEOUT_S
         self._session_pause_until: float = 0.0
+        self._typing_tasks: dict[str, asyncio.Task] = {}
         self._typing_tickets: dict[str, dict[str, Any]] = {}
 
     # ------------------------------------------------------------------
@@ -193,6 +193,15 @@ class WeixinChannel(BaseChannel):
                 }
             else:
                 self._context_tokens = {}
+            typing_tickets = data.get("typing_tickets", {})
+            if isinstance(typing_tickets, dict):
+                self._typing_tickets = {
+                    str(user_id): ticket
+                    for user_id, ticket in typing_tickets.items()
+                    if str(user_id).strip() and isinstance(ticket, dict)
+                }
+            else:
+                self._typing_tickets = {}
             base_url = data.get("base_url", "")
             if base_url:
                 self.config.base_url = base_url
@@ -207,6 +216,7 @@ class WeixinChannel(BaseChannel):
                 "token": self._token,
                 "get_updates_buf": self._get_updates_buf,
                 "context_tokens": self._context_tokens,
+                "typing_tickets": self._typing_tickets,
                 "base_url": self.config.base_url,
             }
             state_file.write_text(json.dumps(data, ensure_ascii=False))
@@ -488,6 +498,8 @@ class WeixinChannel(BaseChannel):
         self._running = False
         if self._poll_task and not self._poll_task.done():
             self._poll_task.cancel()
+        for chat_id in list(self._typing_tasks):
+            await self._stop_typing(chat_id, clear_remote=False)
         if self._client:
             await self._client.aclose()
             self._client = None
@@ -746,6 +758,15 @@ class WeixinChannel(BaseChannel):
         if not content:
             return
 
+        logger.info(
+            "WeChat inbound: from={} items={} bodyLen={}",
+            from_user_id,
+            ",".join(str(i.get("type", 0)) for i in item_list),
+            len(content),
+        )
+
+        await self._start_typing(from_user_id, ctx_token)
+
         await self._handle_message(
             sender_id=from_user_id,
             chat_id=from_user_id,
@@ -927,6 +948,10 @@ class WeixinChannel(BaseChannel):
         except RuntimeError:
             return
 
+        is_progress = bool((msg.metadata or {}).get("_progress", False))
+        if not is_progress:
+            await self._stop_typing(msg.chat_id, clear_remote=True)
+
         content = msg.content.strip()
         ctx_token = self._context_tokens.get(msg.chat_id, "")
         if not ctx_token:
@@ -987,12 +1012,68 @@ class WeixinChannel(BaseChannel):
                 except asyncio.CancelledError:
                     pass
 
-            if typing_ticket:
+            if typing_ticket and not is_progress:
                 try:
                     await self._send_typing(msg.chat_id, typing_ticket, TYPING_STATUS_CANCEL)
                 except Exception:
                     pass
 
+    async def _start_typing(self, chat_id: str, context_token: str = "") -> None:
+        """Start typing indicator immediately when a message is received."""
+        if not self._client or not self._token or not chat_id:
+            return
+        await self._stop_typing(chat_id, clear_remote=False)
+        try:
+            ticket = await self._get_typing_ticket(chat_id, context_token)
+            if not ticket:
+                return
+            await self._send_typing(chat_id, ticket, TYPING_STATUS_TYPING)
+        except Exception as e:
+            logger.debug("WeChat typing indicator start failed for {}: {}", chat_id, e)
+            return
+
+        stop_event = asyncio.Event()
+
+        async def keepalive() -> None:
+            try:
+                while not stop_event.is_set():
+                    await asyncio.sleep(TYPING_KEEPALIVE_INTERVAL_S)
+                    if stop_event.is_set():
+                        break
+                    try:
+                        await self._send_typing(chat_id, ticket, TYPING_STATUS_TYPING)
+                    except Exception:
+                        pass
+            finally:
+                pass
+
+        task = asyncio.create_task(keepalive())
+        task._typing_stop_event = stop_event  # type: ignore[attr-defined]
+        self._typing_tasks[chat_id] = task
+
+    async def _stop_typing(self, chat_id: str, *, clear_remote: bool) -> None:
+        """Stop typing indicator for a chat."""
+        task = self._typing_tasks.pop(chat_id, None)
+        if task and not task.done():
+            stop_event = getattr(task, "_typing_stop_event", None)
+            if stop_event:
+                stop_event.set()
+            task.cancel()
+            try:
+                await task
+            except asyncio.CancelledError:
+                pass
+        if not clear_remote:
+            return
+        entry = self._typing_tickets.get(chat_id)
+        ticket = str(entry.get("ticket", "") or "") if isinstance(entry, dict) else ""
+        if not ticket:
+            return
+        try:
+            await self._send_typing(chat_id, ticket, TYPING_STATUS_CANCEL)
+        except Exception as e:
+            logger.debug("WeChat typing clear failed for {}: {}", chat_id, e)
+
     async def _send_text(
         self,
         to_user_id: str,

nanobot/cli/commands.py

@@ -38,6 +38,11 @@ from nanobot.cli.stream import StreamRenderer, ThinkingSpinner
 from nanobot.config.paths import get_workspace_path, is_default_workspace
 from nanobot.config.schema import Config
 from nanobot.utils.helpers import sync_workspace_templates
+from nanobot.utils.restart import (
+    consume_restart_notice_from_env,
+    format_restart_completed_message,
+    should_show_cli_restart_notice,
+)
 
 app = typer.Typer(
     name="nanobot",
@@ -546,8 +551,7 @@ def serve(
         context_block_limit=runtime_config.agents.defaults.context_block_limit,
         max_tool_result_chars=runtime_config.agents.defaults.max_tool_result_chars,
         provider_retry_mode=runtime_config.agents.defaults.provider_retry_mode,
-        web_search_config=runtime_config.tools.web.search,
+        web_config=runtime_config.tools.web,
-        web_proxy=runtime_config.tools.web.proxy or None,
         exec_config=runtime_config.tools.exec,
         restrict_to_workspace=runtime_config.tools.restrict_to_workspace,
         session_manager=session_manager,
@@ -633,11 +637,10 @@ def gateway(
         model=config.agents.defaults.model,
         max_iterations=config.agents.defaults.max_tool_iterations,
         context_window_tokens=config.agents.defaults.context_window_tokens,
+        web_config=config.tools.web,
         context_block_limit=config.agents.defaults.context_block_limit,
         max_tool_result_chars=config.agents.defaults.max_tool_result_chars,
         provider_retry_mode=config.agents.defaults.provider_retry_mode,
-        web_search_config=config.tools.web.search,
-        web_proxy=config.tools.web.proxy or None,
         exec_config=config.tools.exec,
         cron_service=cron,
         restrict_to_workspace=config.tools.restrict_to_workspace,
@@ -866,11 +869,10 @@ def agent(
         model=config.agents.defaults.model,
         max_iterations=config.agents.defaults.max_tool_iterations,
         context_window_tokens=config.agents.defaults.context_window_tokens,
+        web_config=config.tools.web,
         context_block_limit=config.agents.defaults.context_block_limit,
         max_tool_result_chars=config.agents.defaults.max_tool_result_chars,
         provider_retry_mode=config.agents.defaults.provider_retry_mode,
-        web_search_config=config.tools.web.search,
-        web_proxy=config.tools.web.proxy or None,
         exec_config=config.tools.exec,
         cron_service=cron,
         restrict_to_workspace=config.tools.restrict_to_workspace,
@@ -878,6 +880,12 @@ def agent(
         channels_config=config.channels,
         timezone=config.agents.defaults.timezone,
     )
+    restart_notice = consume_restart_notice_from_env()
+    if restart_notice and should_show_cli_restart_notice(restart_notice, session_id):
+        _print_agent_response(
+            format_restart_completed_message(restart_notice.started_at_raw),
+            render_markdown=False,
+        )
 
     # Shared reference for progress callbacks
     _thinking: ThinkingSpinner | None = None

nanobot/command/builtin.py

@@ -10,6 +10,7 @@ from nanobot import __version__
 from nanobot.bus.events import OutboundMessage
 from nanobot.command.router import CommandContext, CommandRouter
 from nanobot.utils.helpers import build_status_content
+from nanobot.utils.restart import set_restart_notice_to_env
 
 
 async def cmd_stop(ctx: CommandContext) -> OutboundMessage:
@@ -26,19 +27,26 @@ async def cmd_stop(ctx: CommandContext) -> OutboundMessage:
     sub_cancelled = await loop.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."
-    return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content=content)
+    return OutboundMessage(
+        channel=msg.channel, chat_id=msg.chat_id, content=content,
+        metadata=dict(msg.metadata or {})
+    )
 
 
 async def cmd_restart(ctx: CommandContext) -> OutboundMessage:
     """Restart the process in-place via os.execv."""
     msg = ctx.msg
+    set_restart_notice_to_env(channel=msg.channel, chat_id=msg.chat_id)
 
     async def _do_restart():
         await asyncio.sleep(1)
         os.execv(sys.executable, [sys.executable, "-m", "nanobot"] + sys.argv[1:])
 
     asyncio.create_task(_do_restart())
-    return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content="Restarting...")
+    return OutboundMessage(
+        channel=msg.channel, chat_id=msg.chat_id, content="Restarting...",
+        metadata=dict(msg.metadata or {})
+    )
 
 
 async def cmd_status(ctx: CommandContext) -> OutboundMessage:
@@ -62,7 +70,7 @@ async def cmd_status(ctx: CommandContext) -> OutboundMessage:
             session_msg_count=len(session.get_history(max_messages=0)),
             context_tokens_estimate=ctx_est,
         ),
-        metadata={"render_as": "text"},
+        metadata={**dict(ctx.msg.metadata or {}), "render_as": "text"},
     )
 
 
@@ -79,6 +87,7 @@ async def cmd_new(ctx: CommandContext) -> OutboundMessage:
     return OutboundMessage(
         channel=ctx.msg.channel, chat_id=ctx.msg.chat_id,
         content="New session started.",
+        metadata=dict(ctx.msg.metadata or {})
     )
 
 
@@ -185,7 +194,7 @@ async def cmd_help(ctx: CommandContext) -> OutboundMessage:
         channel=ctx.msg.channel,
         chat_id=ctx.msg.chat_id,
         content=build_help_text(),
-        metadata={"render_as": "text"},
+        metadata={**dict(ctx.msg.metadata or {}), "render_as": "text"},
     )
 
 

nanobot/config/schema.py

@@ -91,6 +91,7 @@ class ProvidersConfig(Base):
     minimax: ProviderConfig = Field(default_factory=ProviderConfig)
     mistral: ProviderConfig = Field(default_factory=ProviderConfig)
     stepfun: ProviderConfig = Field(default_factory=ProviderConfig)  # Step Fun (阶跃星辰)
+    xiaomi_mimo: ProviderConfig = Field(default_factory=ProviderConfig)  # Xiaomi MIMO (小米)
     aihubmix: ProviderConfig = Field(default_factory=ProviderConfig)  # AiHubMix API gateway
     siliconflow: ProviderConfig = Field(default_factory=ProviderConfig)  # SiliconFlow (硅基流动)
     volcengine: ProviderConfig = Field(default_factory=ProviderConfig)  # VolcEngine (火山引擎)
@@ -128,7 +129,7 @@ class GatewayConfig(Base):
 class WebSearchConfig(Base):
     """Web search tool configuration."""
 
-    provider: str = "brave"  # brave, tavily, duckduckgo, searxng, jina
+    provider: str = "duckduckgo"  # brave, tavily, duckduckgo, searxng, jina
     api_key: str = ""
     base_url: str = ""  # SearXNG base URL
     max_results: int = 5
@@ -137,6 +138,7 @@ class WebSearchConfig(Base):
 class WebToolsConfig(Base):
     """Web tools configuration."""
 
+    enable: bool = True
     proxy: str | None = (
         None  # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
     )

nanobot/nanobot.py

@@ -76,8 +76,7 @@ class Nanobot:
             context_block_limit=defaults.context_block_limit,
             max_tool_result_chars=defaults.max_tool_result_chars,
             provider_retry_mode=defaults.provider_retry_mode,
-            web_search_config=config.tools.web.search,
+            web_config=config.tools.web,
-            web_proxy=config.tools.web.proxy or None,
             exec_config=config.tools.exec,
             restrict_to_workspace=config.tools.restrict_to_workspace,
             mcp_servers=config.tools.mcp_servers,

nanobot/providers/anthropic_provider.py

@@ -49,6 +49,8 @@ class AnthropicProvider(LLMProvider):
             client_kw["base_url"] = api_base
         if extra_headers:
             client_kw["default_headers"] = extra_headers
+        # Keep retries centralized in LLMProvider._run_with_retry to avoid retry amplification.
+        client_kw["max_retries"] = 0
         self._client = AsyncAnthropic(**client_kw)
 
     @staticmethod
@@ -401,6 +403,15 @@ class AnthropicProvider(LLMProvider):
     # Public API
     # ------------------------------------------------------------------
 
+    @staticmethod
+    def _handle_error(e: Exception) -> LLMResponse:
+        msg = f"Error calling LLM: {e}"
+        response = getattr(e, "response", None)
+        retry_after = LLMProvider._extract_retry_after_from_headers(getattr(response, "headers", None))
+        if retry_after is None:
+            retry_after = LLMProvider._extract_retry_after(msg)
+        return LLMResponse(content=msg, finish_reason="error", retry_after=retry_after)
+
     async def chat(
         self,
         messages: list[dict[str, Any]],
@@ -419,7 +430,7 @@ class AnthropicProvider(LLMProvider):
             response = await self._client.messages.create(**kwargs)
             return self._parse_response(response)
         except Exception as e:
-            return LLMResponse(content=f"Error calling LLM: {e}", finish_reason="error")
+            return self._handle_error(e)
 
     async def chat_stream(
         self,
@@ -464,7 +475,7 @@ class AnthropicProvider(LLMProvider):
                 finish_reason="error",
             )
         except Exception as e:
-            return LLMResponse(content=f"Error calling LLM: {e}", finish_reason="error")
+            return self._handle_error(e)
 
     def get_default_model(self) -> str:
         return self.default_model

nanobot/providers/azure_openai_provider.py

@@ -58,6 +58,7 @@ class AzureOpenAIProvider(LLMProvider):
             api_key=api_key,
             base_url=base_url,
             default_headers={"x-session-affinity": uuid.uuid4().hex},
+            max_retries=0,
         )
 
     # ------------------------------------------------------------------
@@ -113,9 +114,14 @@ class AzureOpenAIProvider(LLMProvider):
 
     @staticmethod
     def _handle_error(e: Exception) -> LLMResponse:
-        body = getattr(e, "body", None) or getattr(getattr(e, "response", None), "text", None)
+        response = getattr(e, "response", None)
-        msg = f"Error: {str(body).strip()[:500]}" if body else f"Error calling Azure OpenAI: {e}"
+        body = getattr(e, "body", None) or getattr(response, "text", None)
-        return LLMResponse(content=msg, finish_reason="error")
+        body_text = str(body).strip() if body is not None else ""
+        msg = f"Error: {body_text[:500]}" if body_text else f"Error calling Azure OpenAI: {e}"
+        retry_after = LLMProvider._extract_retry_after_from_headers(getattr(response, "headers", None))
+        if retry_after is None:
+            retry_after = LLMProvider._extract_retry_after(msg)
+        return LLMResponse(content=msg, finish_reason="error", retry_after=retry_after)
 
     # ------------------------------------------------------------------
     # Public API
@@ -174,4 +180,4 @@ class AzureOpenAIProvider(LLMProvider):
             return self._handle_error(e)
 
     def get_default_model(self) -> str:
-        return self.default_model
+        return self.default_model

nanobot/providers/base.py

@@ -6,6 +6,8 @@ import re
 from abc import ABC, abstractmethod
 from collections.abc import Awaitable, Callable
 from dataclasses import dataclass, field
+from datetime import datetime, timezone
+from email.utils import parsedate_to_datetime
 from typing import Any
 
 from loguru import logger
@@ -49,7 +51,8 @@ class LLMResponse:
     tool_calls: list[ToolCallRequest] = field(default_factory=list)
     finish_reason: str = "stop"
     usage: dict[str, int] = field(default_factory=dict)
-    reasoning_content: str | None = None  # Kimi, DeepSeek-R1 etc.
+    retry_after: float | None = None  # Provider supplied retry wait in seconds.
+    reasoning_content: str | None = None  # Kimi, DeepSeek-R1, MiMo etc.
     thinking_blocks: list[dict] | None = None  # Anthropic extended thinking
     
     @property
@@ -334,16 +337,57 @@ class LLMProvider(ABC):
     @classmethod
     def _extract_retry_after(cls, content: str | None) -> float | None:
         text = (content or "").lower()
-        match = re.search(r"retry after\s+(\d+(?:\.\d+)?)\s*(ms|milliseconds|s|sec|secs|seconds|m|min|minutes)?", text)
+        patterns = (
-        if not match:
+            r"retry after\s+(\d+(?:\.\d+)?)\s*(ms|milliseconds|s|sec|secs|seconds|m|min|minutes)?",
-            return None
+            r"try again in\s+(\d+(?:\.\d+)?)\s*(ms|milliseconds|s|sec|secs|seconds|m|min|minutes)",
-        value = float(match.group(1))
+            r"wait\s+(\d+(?:\.\d+)?)\s*(ms|milliseconds|s|sec|secs|seconds|m|min|minutes)\s*before retry",
-        unit = (match.group(2) or "s").lower()
+            r"retry[_-]?after[\"'\s:=]+(\d+(?:\.\d+)?)",
-        if unit in {"ms", "milliseconds"}:
+        )
+        for idx, pattern in enumerate(patterns):
+            match = re.search(pattern, text)
+            if not match:
+                continue
+            value = float(match.group(1))
+            unit = match.group(2) if idx < 3 else "s"
+            return cls._to_retry_seconds(value, unit)
+        return None
+
+    @classmethod
+    def _to_retry_seconds(cls, value: float, unit: str | None = None) -> float:
+        normalized_unit = (unit or "s").lower()
+        if normalized_unit in {"ms", "milliseconds"}:
             return max(0.1, value / 1000.0)
-        if unit in {"m", "min", "minutes"}:
+        if normalized_unit in {"m", "min", "minutes"}:
-            return value * 60.0
+            return max(0.1, value * 60.0)
-        return value
+        return max(0.1, value)
+
+    @classmethod
+    def _extract_retry_after_from_headers(cls, headers: Any) -> float | None:
+        if not headers:
+            return None
+        retry_after: Any = None
+        if hasattr(headers, "get"):
+            retry_after = headers.get("retry-after") or headers.get("Retry-After")
+        if retry_after is None and isinstance(headers, dict):
+            for key, value in headers.items():
+                if isinstance(key, str) and key.lower() == "retry-after":
+                    retry_after = value
+                    break
+        if retry_after is None:
+            return None
+        retry_after_text = str(retry_after).strip()
+        if not retry_after_text:
+            return None
+        if re.fullmatch(r"\d+(?:\.\d+)?", retry_after_text):
+            return cls._to_retry_seconds(float(retry_after_text), "s")
+        try:
+            retry_at = parsedate_to_datetime(retry_after_text)
+        except Exception:
+            return None
+        if retry_at.tzinfo is None:
+            retry_at = retry_at.replace(tzinfo=timezone.utc)
+        remaining = (retry_at - datetime.now(retry_at.tzinfo)).total_seconds()
+        return max(0.1, remaining)
 
     async def _sleep_with_heartbeat(
         self,
@@ -416,7 +460,7 @@ class LLMProvider(ABC):
                 break
 
             base_delay = delays[min(attempt - 1, len(delays) - 1)]
-            delay = self._extract_retry_after(response.content) or base_delay
+            delay = response.retry_after or self._extract_retry_after(response.content) or base_delay
             if persistent:
                 delay = min(delay, self._PERSISTENT_MAX_DELAY)
 

nanobot/providers/openai_codex_provider.py

@@ -79,7 +79,9 @@ class OpenAICodexProvider(LLMProvider):
                 )
             return LLMResponse(content=content, tool_calls=tool_calls, finish_reason=finish_reason)
         except Exception as e:
-            return LLMResponse(content=f"Error calling Codex: {e}", finish_reason="error")
+            msg = f"Error calling Codex: {e}"
+            retry_after = getattr(e, "retry_after", None) or self._extract_retry_after(msg)
+            return LLMResponse(content=msg, finish_reason="error", retry_after=retry_after)
 
     async def chat(
         self, messages: list[dict[str, Any]], tools: list[dict[str, Any]] | None = None,
@@ -120,6 +122,12 @@ def _build_headers(account_id: str, token: str) -> dict[str, str]:
     }
 
 
+class _CodexHTTPError(RuntimeError):
+    def __init__(self, message: str, retry_after: float | None = None):
+        super().__init__(message)
+        self.retry_after = retry_after
+
+
 async def _request_codex(
     url: str,
     headers: dict[str, str],
@@ -131,7 +139,11 @@ async def _request_codex(
         async with client.stream("POST", url, headers=headers, json=body) as response:
             if response.status_code != 200:
                 text = await response.aread()
-                raise RuntimeError(_friendly_error(response.status_code, text.decode("utf-8", "ignore")))
+                retry_after = LLMProvider._extract_retry_after_from_headers(response.headers)
+                raise _CodexHTTPError(
+                    _friendly_error(response.status_code, text.decode("utf-8", "ignore")),
+                    retry_after=retry_after,
+                )
             return await consume_sse(response, on_content_delta)
 
 

nanobot/providers/openai_compat_provider.py

@@ -135,6 +135,7 @@ class OpenAICompatProvider(LLMProvider):
             api_key=api_key or "no-key",
             base_url=effective_base,
             default_headers=default_headers,
+            max_retries=0,
         )
 
     def _setup_env(self, api_key: str, api_base: str | None) -> None:
@@ -385,9 +386,13 @@ class OpenAICompatProvider(LLMProvider):
                 content = self._extract_text_content(
                     response_map.get("content") or response_map.get("output_text")
                 )
+                reasoning_content = self._extract_text_content(
+                    response_map.get("reasoning_content")
+                )
                 if content is not None:
                     return LLMResponse(
                         content=content,
+                        reasoning_content=reasoning_content,
                         finish_reason=str(response_map.get("finish_reason") or "stop"),
                         usage=self._extract_usage(response_map),
                     )
@@ -482,6 +487,7 @@ class OpenAICompatProvider(LLMProvider):
     @classmethod
     def _parse_chunks(cls, chunks: list[Any]) -> LLMResponse:
         content_parts: list[str] = []
+        reasoning_parts: list[str] = []
         tc_bufs: dict[int, dict[str, Any]] = {}
         finish_reason = "stop"
         usage: dict[str, int] = {}
@@ -535,6 +541,9 @@ class OpenAICompatProvider(LLMProvider):
                 text = cls._extract_text_content(delta.get("content"))
                 if text:
                     content_parts.append(text)
+                text = cls._extract_text_content(delta.get("reasoning_content"))
+                if text:
+                    reasoning_parts.append(text)
                 for idx, tc in enumerate(delta.get("tool_calls") or []):
                     _accum_tc(tc, idx)
                 usage = cls._extract_usage(chunk_map) or usage
@@ -549,6 +558,10 @@ class OpenAICompatProvider(LLMProvider):
             delta = choice.delta
             if delta and delta.content:
                 content_parts.append(delta.content)
+            if delta:
+                reasoning = getattr(delta, "reasoning_content", None)
+                if reasoning:
+                    reasoning_parts.append(reasoning)
             for tc in (delta.tool_calls or []) if delta else []:
                 _accum_tc(tc, getattr(tc, "index", 0))
 
@@ -567,13 +580,19 @@ class OpenAICompatProvider(LLMProvider):
             ],
             finish_reason=finish_reason,
             usage=usage,
+            reasoning_content="".join(reasoning_parts) or None,
         )
 
     @staticmethod
     def _handle_error(e: Exception) -> LLMResponse:
-        body = getattr(e, "doc", None) or getattr(getattr(e, "response", None), "text", None)
+        response = getattr(e, "response", None)
-        msg = f"Error: {body.strip()[:500]}" if body and body.strip() else f"Error calling LLM: {e}"
+        body = getattr(e, "doc", None) or getattr(response, "text", None)
-        return LLMResponse(content=msg, finish_reason="error")
+        body_text = str(body).strip() if body is not None else ""
+        msg = f"Error: {body_text[:500]}" if body_text else f"Error calling LLM: {e}"
+        retry_after = LLMProvider._extract_retry_after_from_headers(getattr(response, "headers", None))
+        if retry_after is None:
+            retry_after = LLMProvider._extract_retry_after(msg)
+        return LLMResponse(content=msg, finish_reason="error", retry_after=retry_after)
 
     # ------------------------------------------------------------------
     # Public API
@@ -630,6 +649,9 @@ class OpenAICompatProvider(LLMProvider):
                     break
                 chunks.append(chunk)
                 if on_content_delta and chunk.choices:
+                    text = getattr(chunk.choices[0].delta, "reasoning_content", None)
+                    if text:
+                        await on_content_delta(text)
                     text = getattr(chunk.choices[0].delta, "content", None)
                     if text:
                         await on_content_delta(text)
@@ -646,4 +668,4 @@ class OpenAICompatProvider(LLMProvider):
             return self._handle_error(e)
 
     def get_default_model(self) -> str:
-        return self.default_model
+        return self.default_model

nanobot/providers/registry.py

@@ -297,6 +297,15 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
         backend="openai_compat",
         default_api_base="https://api.stepfun.com/v1",
     ),
+    # Xiaomi MIMO (小米): OpenAI-compatible API
+    ProviderSpec(
+        name="xiaomi_mimo",
+        keywords=("xiaomi_mimo", "mimo"),
+        env_key="XIAOMIMIMO_API_KEY",
+        display_name="Xiaomi MIMO",
+        backend="openai_compat",
+        default_api_base="https://api.xiaomimimo.com/v1",
+    ),
     # === Local deployment (matched by config key, NOT by api_base) =========
     # vLLM / any OpenAI-compatible local server
     ProviderSpec(

nanobot/utils/restart.py

@@ -0,0 +1,58 @@
+"""Helpers for restart notification messages."""
+
+from __future__ import annotations
+
+import os
+import time
+from dataclasses import dataclass
+
+RESTART_NOTIFY_CHANNEL_ENV = "NANOBOT_RESTART_NOTIFY_CHANNEL"
+RESTART_NOTIFY_CHAT_ID_ENV = "NANOBOT_RESTART_NOTIFY_CHAT_ID"
+RESTART_STARTED_AT_ENV = "NANOBOT_RESTART_STARTED_AT"
+
+
+@dataclass(frozen=True)
+class RestartNotice:
+    channel: str
+    chat_id: str
+    started_at_raw: str
+
+
+def format_restart_completed_message(started_at_raw: str) -> str:
+    """Build restart completion text and include elapsed time when available."""
+    elapsed_suffix = ""
+    if started_at_raw:
+        try:
+            elapsed_s = max(0.0, time.time() - float(started_at_raw))
+            elapsed_suffix = f" in {elapsed_s:.1f}s"
+        except ValueError:
+            pass
+    return f"Restart completed{elapsed_suffix}."
+
+
+def set_restart_notice_to_env(*, channel: str, chat_id: str) -> None:
+    """Write restart notice env values for the next process."""
+    os.environ[RESTART_NOTIFY_CHANNEL_ENV] = channel
+    os.environ[RESTART_NOTIFY_CHAT_ID_ENV] = chat_id
+    os.environ[RESTART_STARTED_AT_ENV] = str(time.time())
+
+
+def consume_restart_notice_from_env() -> RestartNotice | None:
+    """Read and clear restart notice env values once for this process."""
+    channel = os.environ.pop(RESTART_NOTIFY_CHANNEL_ENV, "").strip()
+    chat_id = os.environ.pop(RESTART_NOTIFY_CHAT_ID_ENV, "").strip()
+    started_at_raw = os.environ.pop(RESTART_STARTED_AT_ENV, "").strip()
+    if not (channel and chat_id):
+        return None
+    return RestartNotice(channel=channel, chat_id=chat_id, started_at_raw=started_at_raw)
+
+
+def should_show_cli_restart_notice(notice: RestartNotice, session_id: str) -> bool:
+    """Return True when a restart notice should be shown in this CLI session."""
+    if notice.channel != "cli":
+        return False
+    if ":" in session_id:
+        _, cli_chat_id = session_id.split(":", 1)
+    else:
+        cli_chat_id = session_id
+    return not notice.chat_id or notice.chat_id == cli_chat_id

tests/channels/test_channel_plugins.py

@@ -13,6 +13,7 @@ from nanobot.bus.queue import MessageBus
 from nanobot.channels.base import BaseChannel
 from nanobot.channels.manager import ChannelManager
 from nanobot.config.schema import ChannelsConfig
+from nanobot.utils.restart import RestartNotice
 
 
 # ---------------------------------------------------------------------------
@@ -929,3 +930,30 @@ async def test_start_all_creates_dispatch_task():
     # Dispatch task should have been created
     assert mgr._dispatch_task is not None
 
+
+@pytest.mark.asyncio
+async def test_notify_restart_done_enqueues_outbound_message():
+    """Restart notice should schedule send_with_retry for target channel."""
+    fake_config = SimpleNamespace(
+        channels=ChannelsConfig(),
+        providers=SimpleNamespace(groq=SimpleNamespace(api_key="")),
+    )
+
+    mgr = ChannelManager.__new__(ChannelManager)
+    mgr.config = fake_config
+    mgr.bus = MessageBus()
+    mgr.channels = {"feishu": _StartableChannel(fake_config, mgr.bus)}
+    mgr._dispatch_task = None
+    mgr._send_with_retry = AsyncMock()
+
+    notice = RestartNotice(channel="feishu", chat_id="oc_123", started_at_raw="100.0")
+    with patch("nanobot.channels.manager.consume_restart_notice_from_env", return_value=notice):
+        mgr._notify_restart_done_if_needed()
+
+    await asyncio.sleep(0)
+    mgr._send_with_retry.assert_awaited_once()
+    sent_channel, sent_msg = mgr._send_with_retry.await_args.args
+    assert sent_channel is mgr.channels["feishu"]
+    assert sent_msg.channel == "feishu"
+    assert sent_msg.chat_id == "oc_123"
+    assert sent_msg.content.startswith("Restart completed")

tests/channels/test_qq_ack_message.py

@@ -0,0 +1,172 @@
+"""Tests for QQ channel ack_message feature.
+
+Covers the four verification points from the PR:
+1. C2C message: ack appears instantly
+2. Group message: ack appears instantly
+3. ack_message set to "": no ack sent
+4. Custom ack_message text: correct text delivered
+Each test also verifies that normal message processing is not blocked.
+"""
+
+from types import SimpleNamespace
+
+import pytest
+
+try:
+    from nanobot.channels import qq
+
+    QQ_AVAILABLE = getattr(qq, "QQ_AVAILABLE", False)
+except ImportError:
+    QQ_AVAILABLE = False
+
+if not QQ_AVAILABLE:
+    pytest.skip("QQ dependencies not installed (qq-botpy)", allow_module_level=True)
+
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.qq import QQChannel, QQConfig
+
+
+class _FakeApi:
+    def __init__(self) -> None:
+        self.c2c_calls: list[dict] = []
+        self.group_calls: list[dict] = []
+
+    async def post_c2c_message(self, **kwargs) -> None:
+        self.c2c_calls.append(kwargs)
+
+    async def post_group_message(self, **kwargs) -> None:
+        self.group_calls.append(kwargs)
+
+
+class _FakeClient:
+    def __init__(self) -> None:
+        self.api = _FakeApi()
+
+
+@pytest.mark.asyncio
+async def test_ack_sent_on_c2c_message() -> None:
+    """Ack is sent immediately for C2C messages, then normal processing continues."""
+    channel = QQChannel(
+        QQConfig(
+            app_id="app",
+            secret="secret",
+            allow_from=["*"],
+            ack_message="⏳ Processing...",
+        ),
+        MessageBus(),
+    )
+    channel._client = _FakeClient()
+
+    data = SimpleNamespace(
+        id="msg1",
+        content="hello",
+        author=SimpleNamespace(user_openid="user1"),
+        attachments=[],
+    )
+    await channel._on_message(data, is_group=False)
+
+    assert len(channel._client.api.c2c_calls) >= 1
+    ack_call = channel._client.api.c2c_calls[0]
+    assert ack_call["content"] == "⏳ Processing..."
+    assert ack_call["openid"] == "user1"
+    assert ack_call["msg_id"] == "msg1"
+    assert ack_call["msg_type"] == 0
+
+    msg = await channel.bus.consume_inbound()
+    assert msg.content == "hello"
+    assert msg.sender_id == "user1"
+
+
+@pytest.mark.asyncio
+async def test_ack_sent_on_group_message() -> None:
+    """Ack is sent immediately for group messages, then normal processing continues."""
+    channel = QQChannel(
+        QQConfig(
+            app_id="app",
+            secret="secret",
+            allow_from=["*"],
+            ack_message="⏳ Processing...",
+        ),
+        MessageBus(),
+    )
+    channel._client = _FakeClient()
+
+    data = SimpleNamespace(
+        id="msg2",
+        content="hello group",
+        group_openid="group123",
+        author=SimpleNamespace(member_openid="user1"),
+        attachments=[],
+    )
+    await channel._on_message(data, is_group=True)
+
+    assert len(channel._client.api.group_calls) >= 1
+    ack_call = channel._client.api.group_calls[0]
+    assert ack_call["content"] == "⏳ Processing..."
+    assert ack_call["group_openid"] == "group123"
+    assert ack_call["msg_id"] == "msg2"
+    assert ack_call["msg_type"] == 0
+
+    msg = await channel.bus.consume_inbound()
+    assert msg.content == "hello group"
+    assert msg.chat_id == "group123"
+
+
+@pytest.mark.asyncio
+async def test_no_ack_when_ack_message_empty() -> None:
+    """Setting ack_message to empty string disables the ack entirely."""
+    channel = QQChannel(
+        QQConfig(
+            app_id="app",
+            secret="secret",
+            allow_from=["*"],
+            ack_message="",
+        ),
+        MessageBus(),
+    )
+    channel._client = _FakeClient()
+
+    data = SimpleNamespace(
+        id="msg3",
+        content="hello",
+        author=SimpleNamespace(user_openid="user1"),
+        attachments=[],
+    )
+    await channel._on_message(data, is_group=False)
+
+    assert len(channel._client.api.c2c_calls) == 0
+    assert len(channel._client.api.group_calls) == 0
+
+    msg = await channel.bus.consume_inbound()
+    assert msg.content == "hello"
+
+
+@pytest.mark.asyncio
+async def test_custom_ack_message_text() -> None:
+    """Custom Chinese ack_message text is delivered correctly."""
+    custom = "正在处理中，请稍候..."
+    channel = QQChannel(
+        QQConfig(
+            app_id="app",
+            secret="secret",
+            allow_from=["*"],
+            ack_message=custom,
+        ),
+        MessageBus(),
+    )
+    channel._client = _FakeClient()
+
+    data = SimpleNamespace(
+        id="msg4",
+        content="test input",
+        author=SimpleNamespace(user_openid="user1"),
+        attachments=[],
+    )
+    await channel._on_message(data, is_group=False)
+
+    assert len(channel._client.api.c2c_calls) >= 1
+    ack_call = channel._client.api.c2c_calls[0]
+    assert ack_call["content"] == custom
+
+    msg = await channel.bus.consume_inbound()
+    assert msg.content == "test input"

tests/channels/test_telegram_channel.py

@@ -647,43 +647,56 @@ async def test_group_policy_open_accepts_plain_group_message() -> None:
     assert channel._app.bot.get_me_calls == 0
 
 
-def test_extract_reply_context_no_reply() -> None:
+@pytest.mark.asyncio
+async def test_extract_reply_context_no_reply() -> None:
     """When there is no reply_to_message, _extract_reply_context returns None."""
+    channel = TelegramChannel(TelegramConfig(enabled=True, token="123:abc"), MessageBus())
     message = SimpleNamespace(reply_to_message=None)
-    assert TelegramChannel._extract_reply_context(message) is None
+    assert await channel._extract_reply_context(message) is None
 
 
-def test_extract_reply_context_with_text() -> None:
+@pytest.mark.asyncio
+async def test_extract_reply_context_with_text() -> None:
     """When reply has text, return prefixed string."""
-    reply = SimpleNamespace(text="Hello world", caption=None)
+    channel = TelegramChannel(TelegramConfig(enabled=True, token="123:abc"), MessageBus())
+    channel._app = _FakeApp(lambda: None)
+    reply = SimpleNamespace(text="Hello world", caption=None, from_user=SimpleNamespace(id=2, username="testuser", first_name="Test"))
     message = SimpleNamespace(reply_to_message=reply)
-    assert TelegramChannel._extract_reply_context(message) == "[Reply to: Hello world]"
+    assert await channel._extract_reply_context(message) == "[Reply to @testuser: Hello world]"
 
 
-def test_extract_reply_context_with_caption_only() -> None:
+@pytest.mark.asyncio
+async def test_extract_reply_context_with_caption_only() -> None:
     """When reply has only caption (no text), caption is used."""
-    reply = SimpleNamespace(text=None, caption="Photo caption")
+    channel = TelegramChannel(TelegramConfig(enabled=True, token="123:abc"), MessageBus())
+    channel._app = _FakeApp(lambda: None)
+    reply = SimpleNamespace(text=None, caption="Photo caption", from_user=SimpleNamespace(id=2, username=None, first_name="Test"))
     message = SimpleNamespace(reply_to_message=reply)
-    assert TelegramChannel._extract_reply_context(message) == "[Reply to: Photo caption]"
+    assert await channel._extract_reply_context(message) == "[Reply to Test: Photo caption]"
 
 
-def test_extract_reply_context_truncation() -> None:
+@pytest.mark.asyncio
+async def test_extract_reply_context_truncation() -> None:
     """Reply text is truncated at TELEGRAM_REPLY_CONTEXT_MAX_LEN."""
+    channel = TelegramChannel(TelegramConfig(enabled=True, token="123:abc"), MessageBus())
+    channel._app = _FakeApp(lambda: None)
     long_text = "x" * (TELEGRAM_REPLY_CONTEXT_MAX_LEN + 100)
-    reply = SimpleNamespace(text=long_text, caption=None)
+    reply = SimpleNamespace(text=long_text, caption=None, from_user=SimpleNamespace(id=2, username=None, first_name=None))
     message = SimpleNamespace(reply_to_message=reply)
-    result = TelegramChannel._extract_reply_context(message)
+    result = await channel._extract_reply_context(message)
     assert result is not None
     assert result.startswith("[Reply to: ")
     assert result.endswith("...]")
     assert len(result) == len("[Reply to: ]") + TELEGRAM_REPLY_CONTEXT_MAX_LEN + len("...")
 
 
-def test_extract_reply_context_no_text_returns_none() -> None:
+@pytest.mark.asyncio
+async def test_extract_reply_context_no_text_returns_none() -> None:
     """When reply has no text/caption, _extract_reply_context returns None (media handled separately)."""
+    channel = TelegramChannel(TelegramConfig(enabled=True, token="123:abc"), MessageBus())
     reply = SimpleNamespace(text=None, caption=None)
     message = SimpleNamespace(reply_to_message=reply)
-    assert TelegramChannel._extract_reply_context(message) is None
+    assert await channel._extract_reply_context(message) is None
 
 
 @pytest.mark.asyncio

tests/channels/test_weixin_channel.py

@@ -572,6 +572,85 @@ async def test_process_message_skips_bot_messages() -> None:
     assert bus.inbound_size == 0
 
 
+@pytest.mark.asyncio
+async def test_process_message_starts_typing_on_inbound() -> None:
+    """Typing indicator fires immediately when user message arrives."""
+    channel, _bus = _make_channel()
+    channel._running = True
+    channel._client = object()
+    channel._token = "token"
+    channel._start_typing = AsyncMock()
+
+    await channel._process_message(
+        {
+            "message_type": 1,
+            "message_id": "m-typing",
+            "from_user_id": "wx-user",
+            "context_token": "ctx-typing",
+            "item_list": [
+                {"type": ITEM_TEXT, "text_item": {"text": "hello"}},
+            ],
+        }
+    )
+
+    channel._start_typing.assert_awaited_once_with("wx-user", "ctx-typing")
+
+
+@pytest.mark.asyncio
+async def test_send_final_message_clears_typing_indicator() -> None:
+    """Non-progress send should cancel typing status."""
+    channel, _bus = _make_channel()
+    channel._client = object()
+    channel._token = "token"
+    channel._context_tokens["wx-user"] = "ctx-2"
+    channel._typing_tickets["wx-user"] = {"ticket": "ticket-2", "next_fetch_at": 9999999999}
+    channel._send_text = AsyncMock()
+    channel._api_post = AsyncMock(return_value={"ret": 0})
+
+    await channel.send(
+        type("Msg", (), {"chat_id": "wx-user", "content": "pong", "media": [], "metadata": {}})()
+    )
+
+    channel._send_text.assert_awaited_once_with("wx-user", "pong", "ctx-2")
+    typing_cancel_calls = [
+        c for c in channel._api_post.await_args_list
+        if c.args[0] == "ilink/bot/sendtyping" and c.args[1]["status"] == 2
+    ]
+    assert len(typing_cancel_calls) >= 1
+
+
+@pytest.mark.asyncio
+async def test_send_progress_message_keeps_typing_indicator() -> None:
+    """Progress messages must not cancel typing status."""
+    channel, _bus = _make_channel()
+    channel._client = object()
+    channel._token = "token"
+    channel._context_tokens["wx-user"] = "ctx-2"
+    channel._typing_tickets["wx-user"] = {"ticket": "ticket-2", "next_fetch_at": 9999999999}
+    channel._send_text = AsyncMock()
+    channel._api_post = AsyncMock(return_value={"ret": 0})
+
+    await channel.send(
+        type(
+            "Msg",
+            (),
+            {
+                "chat_id": "wx-user",
+                "content": "thinking",
+                "media": [],
+                "metadata": {"_progress": True},
+            },
+        )()
+    )
+
+    channel._send_text.assert_awaited_once_with("wx-user", "thinking", "ctx-2")
+    typing_cancel_calls = [
+        c for c in channel._api_post.await_args_list
+        if c.args and c.args[0] == "ilink/bot/sendtyping" and c.args[1].get("status") == 2
+    ]
+    assert len(typing_cancel_calls) == 0
+
+
 class _DummyHttpResponse:
     def __init__(self, *, headers: dict[str, str] | None = None, status_code: int = 200) -> None:
         self.headers = headers or {}

tests/cli/test_restart_command.py

@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 import asyncio
+import os
 import time
 from unittest.mock import AsyncMock, MagicMock, patch
 
@@ -36,14 +37,23 @@ class TestRestartCommand:
     async def test_restart_sends_message_and_calls_execv(self):
         from nanobot.command.builtin import cmd_restart
         from nanobot.command.router import CommandContext
+        from nanobot.utils.restart import (
+            RESTART_NOTIFY_CHANNEL_ENV,
+            RESTART_NOTIFY_CHAT_ID_ENV,
+            RESTART_STARTED_AT_ENV,
+        )
 
         loop, bus = _make_loop()
         msg = InboundMessage(channel="cli", sender_id="user", chat_id="direct", content="/restart")
         ctx = CommandContext(msg=msg, session=None, key=msg.session_key, raw="/restart", loop=loop)
 
-        with patch("nanobot.command.builtin.os.execv") as mock_execv:
+        with patch.dict(os.environ, {}, clear=False), \
+             patch("nanobot.command.builtin.os.execv") as mock_execv:
             out = await cmd_restart(ctx)
             assert "Restarting" in out.content
+            assert os.environ.get(RESTART_NOTIFY_CHANNEL_ENV) == "cli"
+            assert os.environ.get(RESTART_NOTIFY_CHAT_ID_ENV) == "direct"
+            assert os.environ.get(RESTART_STARTED_AT_ENV)
 
             await asyncio.sleep(1.5)
             mock_execv.assert_called_once()

tests/providers/test_provider_retry.py

@@ -240,6 +240,39 @@ async def test_chat_with_retry_uses_retry_after_and_emits_wait_progress(monkeypa
     assert progress and "7s" in progress[0]
 
 
+def test_extract_retry_after_supports_common_provider_formats() -> None:
+    assert LLMProvider._extract_retry_after('{"error":{"retry_after":20}}') == 20.0
+    assert LLMProvider._extract_retry_after("Rate limit reached, please try again in 20s") == 20.0
+    assert LLMProvider._extract_retry_after("retry-after: 20") == 20.0
+
+
+def test_extract_retry_after_from_headers_supports_numeric_and_http_date() -> None:
+    assert LLMProvider._extract_retry_after_from_headers({"Retry-After": "20"}) == 20.0
+    assert LLMProvider._extract_retry_after_from_headers({"retry-after": "20"}) == 20.0
+    assert LLMProvider._extract_retry_after_from_headers(
+        {"Retry-After": "Wed, 21 Oct 2015 07:28:00 GMT"},
+    ) == 0.1
+
+
+@pytest.mark.asyncio
+async def test_chat_with_retry_prefers_structured_retry_after_when_present(monkeypatch) -> None:
+    provider = ScriptedProvider([
+        LLMResponse(content="429 rate limit", finish_reason="error", retry_after=9.0),
+        LLMResponse(content="ok"),
+    ])
+    delays: list[float] = []
+
+    async def _fake_sleep(delay: float) -> None:
+        delays.append(delay)
+
+    monkeypatch.setattr("nanobot.providers.base.asyncio.sleep", _fake_sleep)
+
+    response = await provider.chat_with_retry(messages=[{"role": "user", "content": "hello"}])
+
+    assert response.content == "ok"
+    assert delays == [9.0]
+
+
 @pytest.mark.asyncio
 async def test_persistent_retry_aborts_after_ten_identical_transient_errors(monkeypatch) -> None:
     provider = ScriptedProvider([
@@ -263,4 +296,3 @@ async def test_persistent_retry_aborts_after_ten_identical_transient_errors(monk
     assert provider.calls == 10
     assert delays == [1, 2, 4, 4, 4, 4, 4, 4, 4]
 
-

tests/providers/test_provider_retry_after_hints.py

@@ -0,0 +1,42 @@
+from types import SimpleNamespace
+
+from nanobot.providers.anthropic_provider import AnthropicProvider
+from nanobot.providers.azure_openai_provider import AzureOpenAIProvider
+from nanobot.providers.openai_compat_provider import OpenAICompatProvider
+
+
+def test_openai_compat_error_captures_retry_after_from_headers() -> None:
+    err = Exception("boom")
+    err.doc = None
+    err.response = SimpleNamespace(
+        text='{"error":{"message":"Rate limit exceeded"}}',
+        headers={"Retry-After": "20"},
+    )
+
+    response = OpenAICompatProvider._handle_error(err)
+
+    assert response.retry_after == 20.0
+
+
+def test_azure_openai_error_captures_retry_after_from_headers() -> None:
+    err = Exception("boom")
+    err.body = {"message": "Rate limit exceeded"}
+    err.response = SimpleNamespace(
+        text='{"error":{"message":"Rate limit exceeded"}}',
+        headers={"Retry-After": "20"},
+    )
+
+    response = AzureOpenAIProvider._handle_error(err)
+
+    assert response.retry_after == 20.0
+
+
+def test_anthropic_error_captures_retry_after_from_headers() -> None:
+    err = Exception("boom")
+    err.response = SimpleNamespace(
+        headers={"Retry-After": "20"},
+    )
+
+    response = AnthropicProvider._handle_error(err)
+
+    assert response.retry_after == 20.0

tests/providers/test_provider_sdk_retry_defaults.py

@@ -0,0 +1,33 @@
+from unittest.mock import patch
+
+from nanobot.providers.anthropic_provider import AnthropicProvider
+from nanobot.providers.azure_openai_provider import AzureOpenAIProvider
+from nanobot.providers.openai_compat_provider import OpenAICompatProvider
+
+
+def test_openai_compat_disables_sdk_retries_by_default() -> None:
+    with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client:
+        OpenAICompatProvider(api_key="sk-test", default_model="gpt-4o")
+
+    kwargs = mock_client.call_args.kwargs
+    assert kwargs["max_retries"] == 0
+
+
+def test_anthropic_disables_sdk_retries_by_default() -> None:
+    with patch("anthropic.AsyncAnthropic") as mock_client:
+        AnthropicProvider(api_key="sk-test", default_model="claude-sonnet-4-5")
+
+    kwargs = mock_client.call_args.kwargs
+    assert kwargs["max_retries"] == 0
+
+
+def test_azure_openai_disables_sdk_retries_by_default() -> None:
+    with patch("nanobot.providers.azure_openai_provider.AsyncOpenAI") as mock_client:
+        AzureOpenAIProvider(
+            api_key="sk-test",
+            api_base="https://example.openai.azure.com",
+            default_model="gpt-4.1",
+        )
+
+    kwargs = mock_client.call_args.kwargs
+    assert kwargs["max_retries"] == 0

tests/providers/test_reasoning_content.py

@@ -0,0 +1,128 @@
+"""Tests for reasoning_content extraction in OpenAICompatProvider.
+
+Covers non-streaming (_parse) and streaming (_parse_chunks) paths for
+providers that return a reasoning_content field (e.g. MiMo, DeepSeek-R1).
+"""
+
+from types import SimpleNamespace
+from unittest.mock import patch
+
+from nanobot.providers.openai_compat_provider import OpenAICompatProvider
+
+
+# ── _parse: non-streaming ─────────────────────────────────────────────────
+
+
+def test_parse_dict_extracts_reasoning_content() -> None:
+    """reasoning_content at message level is surfaced in LLMResponse."""
+    with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI"):
+        provider = OpenAICompatProvider()
+
+    response = {
+        "choices": [{
+            "message": {
+                "content": "42",
+                "reasoning_content": "Let me think step by step…",
+            },
+            "finish_reason": "stop",
+        }],
+        "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15},
+    }
+
+    result = provider._parse(response)
+
+    assert result.content == "42"
+    assert result.reasoning_content == "Let me think step by step…"
+
+
+def test_parse_dict_reasoning_content_none_when_absent() -> None:
+    """reasoning_content is None when the response doesn't include it."""
+    with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI"):
+        provider = OpenAICompatProvider()
+
+    response = {
+        "choices": [{
+            "message": {"content": "hello"},
+            "finish_reason": "stop",
+        }],
+    }
+
+    result = provider._parse(response)
+
+    assert result.reasoning_content is None
+
+
+# ── _parse_chunks: streaming dict branch ─────────────────────────────────
+
+
+def test_parse_chunks_dict_accumulates_reasoning_content() -> None:
+    """reasoning_content deltas in dict chunks are joined into one string."""
+    chunks = [
+        {
+            "choices": [{
+                "finish_reason": None,
+                "delta": {"content": None, "reasoning_content": "Step 1. "},
+            }],
+        },
+        {
+            "choices": [{
+                "finish_reason": None,
+                "delta": {"content": None, "reasoning_content": "Step 2."},
+            }],
+        },
+        {
+            "choices": [{
+                "finish_reason": "stop",
+                "delta": {"content": "answer"},
+            }],
+        },
+    ]
+
+    result = OpenAICompatProvider._parse_chunks(chunks)
+
+    assert result.content == "answer"
+    assert result.reasoning_content == "Step 1. Step 2."
+
+
+def test_parse_chunks_dict_reasoning_content_none_when_absent() -> None:
+    """reasoning_content is None when no chunk contains it."""
+    chunks = [
+        {"choices": [{"finish_reason": "stop", "delta": {"content": "hi"}}]},
+    ]
+
+    result = OpenAICompatProvider._parse_chunks(chunks)
+
+    assert result.content == "hi"
+    assert result.reasoning_content is None
+
+
+# ── _parse_chunks: streaming SDK-object branch ────────────────────────────
+
+
+def _make_reasoning_chunk(reasoning: str | None, content: str | None, finish: str | None):
+    delta = SimpleNamespace(content=content, reasoning_content=reasoning, tool_calls=None)
+    choice = SimpleNamespace(finish_reason=finish, delta=delta)
+    return SimpleNamespace(choices=[choice], usage=None)
+
+
+def test_parse_chunks_sdk_accumulates_reasoning_content() -> None:
+    """reasoning_content on SDK delta objects is joined across chunks."""
+    chunks = [
+        _make_reasoning_chunk("Think… ", None, None),
+        _make_reasoning_chunk("Done.", None, None),
+        _make_reasoning_chunk(None, "result", "stop"),
+    ]
+
+    result = OpenAICompatProvider._parse_chunks(chunks)
+
+    assert result.content == "result"
+    assert result.reasoning_content == "Think… Done."
+
+
+def test_parse_chunks_sdk_reasoning_content_none_when_absent() -> None:
+    """reasoning_content is None when SDK deltas carry no reasoning_content."""
+    chunks = [_make_reasoning_chunk(None, "hello", "stop")]
+
+    result = OpenAICompatProvider._parse_chunks(chunks)
+
+    assert result.reasoning_content is None

tests/tools/test_filesystem_tools.py

@@ -321,6 +321,22 @@ class TestWorkspaceRestriction:
         assert "Test Skill" in result
         assert "Error" not in result
 
+    @pytest.mark.asyncio
+    async def test_read_allowed_in_media_dir(self, tmp_path, monkeypatch):
+        workspace = tmp_path / "ws"
+        workspace.mkdir()
+        media_dir = tmp_path / "media"
+        media_dir.mkdir()
+        media_file = media_dir / "photo.txt"
+        media_file.write_text("shared media", encoding="utf-8")
+
+        monkeypatch.setattr("nanobot.agent.tools.filesystem.get_media_dir", lambda: media_dir)
+
+        tool = ReadFileTool(workspace=workspace, allowed_dir=workspace)
+        result = await tool.execute(path=str(media_file))
+        assert "shared media" in result
+        assert "Error" not in result
+
     @pytest.mark.asyncio
     async def test_extra_dirs_does_not_widen_write(self, tmp_path):
         from nanobot.agent.tools.filesystem import WriteFileTool

tests/tools/test_tool_validation.py

@@ -142,6 +142,19 @@ def test_exec_guard_blocks_quoted_home_path_outside_workspace(tmp_path) -> None:
     assert error == "Error: Command blocked by safety guard (path outside working dir)"
 
 
+def test_exec_guard_allows_media_path_outside_workspace(tmp_path, monkeypatch) -> None:
+    media_dir = tmp_path / "media"
+    media_dir.mkdir()
+    media_file = media_dir / "photo.jpg"
+    media_file.write_text("ok", encoding="utf-8")
+
+    monkeypatch.setattr("nanobot.agent.tools.shell.get_media_dir", lambda: media_dir)
+
+    tool = ExecTool(restrict_to_workspace=True)
+    error = tool._guard_command(f'cat "{media_file}"', str(tmp_path / "workspace"))
+    assert error is None
+
+
 def test_exec_guard_blocks_windows_drive_root_outside_workspace(monkeypatch) -> None:
     import nanobot.agent.tools.shell as shell_mod
 

tests/utils/test_restart.py

@@ -0,0 +1,49 @@
+"""Tests for restart notice helpers."""
+
+from __future__ import annotations
+
+import os
+
+from nanobot.utils.restart import (
+    RestartNotice,
+    consume_restart_notice_from_env,
+    format_restart_completed_message,
+    set_restart_notice_to_env,
+    should_show_cli_restart_notice,
+)
+
+
+def test_set_and_consume_restart_notice_env_roundtrip(monkeypatch):
+    monkeypatch.delenv("NANOBOT_RESTART_NOTIFY_CHANNEL", raising=False)
+    monkeypatch.delenv("NANOBOT_RESTART_NOTIFY_CHAT_ID", raising=False)
+    monkeypatch.delenv("NANOBOT_RESTART_STARTED_AT", raising=False)
+
+    set_restart_notice_to_env(channel="feishu", chat_id="oc_123")
+
+    notice = consume_restart_notice_from_env()
+    assert notice is not None
+    assert notice.channel == "feishu"
+    assert notice.chat_id == "oc_123"
+    assert notice.started_at_raw
+
+    # Consumed values should be cleared from env.
+    assert consume_restart_notice_from_env() is None
+    assert "NANOBOT_RESTART_NOTIFY_CHANNEL" not in os.environ
+    assert "NANOBOT_RESTART_NOTIFY_CHAT_ID" not in os.environ
+    assert "NANOBOT_RESTART_STARTED_AT" not in os.environ
+
+
+def test_format_restart_completed_message_with_elapsed(monkeypatch):
+    monkeypatch.setattr("nanobot.utils.restart.time.time", lambda: 102.0)
+    assert format_restart_completed_message("100.0") == "Restart completed in 2.0s."
+
+
+def test_should_show_cli_restart_notice():
+    notice = RestartNotice(channel="cli", chat_id="direct", started_at_raw="100")
+    assert should_show_cli_restart_notice(notice, "cli:direct") is True
+    assert should_show_cli_restart_notice(notice, "cli:other") is False
+    assert should_show_cli_restart_notice(notice, "direct") is True
+
+    non_cli = RestartNotice(channel="feishu", chat_id="oc_1", started_at_raw="100")
+    assert should_show_cli_restart_notice(non_cli, "cli:direct") is False
+