Merge remote-tracking branch 'origin/main' into pr-1573

.gitignore

@@ -1,3 +1,4 @@
+.worktrees/
 .assets
 .env
 *.pyc

README.md

@@ -12,11 +12,11 @@
   </p>
 </div>
 
-🐈 **nanobot** is an **ultra-lightweight** personal AI assistant inspired by [OpenClaw](https://github.com/openclaw/openclaw) 
+🐈 **nanobot** is an **ultra-lightweight** personal AI assistant inspired by [OpenClaw](https://github.com/openclaw/openclaw).
 
-⚡️ Delivers core agent functionality in just **~4,000** lines of code — **99% smaller** than Clawdbot's 430k+ lines.
+⚡️ Delivers core agent functionality with **99% fewer lines of code** than OpenClaw.
 
-📏 Real-time line count: **3,935 lines** (run `bash core_agent_lines.sh` to verify anytime)
+📏 Real-time line count: run `bash core_agent_lines.sh` to verify anytime.
 
 ## 📢 News
 
@@ -293,12 +293,18 @@ If you prefer to configure manually, add the following to `~/.nanobot/config.jso
     "discord": {
       "enabled": true,
       "token": "YOUR_BOT_TOKEN",
-      "allowFrom": ["YOUR_USER_ID"]
+      "allowFrom": ["YOUR_USER_ID"],
+      "groupPolicy": "mention"
     }
   }
 }
 ```
 
+> `groupPolicy` controls how the bot responds in group channels:
+> - `"mention"` (default) — Only respond when @mentioned
+> - `"open"` — Respond to all messages
+> DMs always respond when the sender is in `allowFrom`.
+
 **5. Invite the bot**
 - OAuth2 → URL Generator
 - Scopes: `bot`
@@ -884,6 +890,33 @@ MCP tools are automatically discovered and registered on startup. The LLM can us
 | `channels.*.allowFrom` | `[]` (allow all) | Whitelist of user IDs. Empty = allow everyone; non-empty = only listed users can interact. |
 
 
+## Multiple Instances
+
+Run multiple nanobot instances simultaneously, each with its own workspace and configuration.
+
+```bash
+# Instance A - Telegram bot
+nanobot gateway -w ~/.nanobot/botA -p 18791
+
+# Instance B - Discord bot
+nanobot gateway -w ~/.nanobot/botB -p 18792
+
+# Instance C - Using custom config file
+nanobot gateway -w ~/.nanobot/botC -c ~/.nanobot/botC/config.json -p 18793
+```
+
+| Option | Short | Description |
+|--------|-------|-------------|
+| `--workspace` | `-w` | Workspace directory (default: `~/.nanobot/workspace`) |
+| `--config` | `-c` | Config file path (default: `~/.nanobot/config.json`) |
+| `--port` | `-p` | Gateway port (default: `18790`) |
+
+Each instance has its own:
+- Workspace directory (MEMORY.md, HEARTBEAT.md, session files)
+- Cron jobs storage (`workspace/cron/jobs.json`)
+- Configuration (if using `--config`)
+
+
 ## CLI Reference
 
 | Command | Description |

nanobot/agent/loop.py

@@ -202,9 +202,18 @@ class AgentLoop:
 
             if response.has_tool_calls:
                 if on_progress:
-                    clean = self._strip_think(response.content)
+                    thoughts = [
-                    if clean:
+                        self._strip_think(response.content),
-                        await on_progress(clean)
+                        response.reasoning_content,
+                        *(
+                            f"Thinking [{b.get('signature', '...')}]:\n{b.get('thought', '...')}"
+                            for b in (response.thinking_blocks or [])
+                            if isinstance(b, dict) and "signature" in b
+                        ),
+                    ]
+                    combined_thoughts = "\n\n".join(filter(None, thoughts))
+                    if combined_thoughts:
+                        await on_progress(combined_thoughts)
                     await on_progress(self._tool_hint(response.tool_calls), tool_hint=True)
 
                 tool_call_dicts = [

nanobot/agent/memory.py

@@ -128,6 +128,13 @@ class MemoryStore:
             # Some providers return arguments as a JSON string instead of dict
             if isinstance(args, str):
                 args = json.loads(args)
+            # Some providers return arguments as a list (handle edge case)
+            if isinstance(args, list):
+                if args and isinstance(args[0], dict):
+                    args = args[0]
+                else:
+                    logger.warning("Memory consolidation: unexpected arguments as empty or non-dict list")
+                    return False
             if not isinstance(args, dict):
                 logger.warning("Memory consolidation: unexpected arguments type {}", type(args).__name__)
                 return False

nanobot/agent/tools/mcp.py

@@ -58,17 +58,48 @@ async def connect_mcp_servers(
 ) -> None:
     """Connect to configured MCP servers and register their tools."""
     from mcp import ClientSession, StdioServerParameters
+    from mcp.client.sse import sse_client
     from mcp.client.stdio import stdio_client
+    from mcp.client.streamable_http import streamable_http_client
 
     for name, cfg in mcp_servers.items():
         try:
-            if cfg.command:
+            transport_type = cfg.type
+            if not transport_type:
+                if cfg.command:
+                    transport_type = "stdio"
+                elif cfg.url:
+                    # Convention: URLs ending with /sse use SSE transport; others use streamableHttp
+                    transport_type = (
+                        "sse" if cfg.url.rstrip("/").endswith("/sse") else "streamableHttp"
+                    )
+                else:
+                    logger.warning("MCP server '{}': no command or url configured, skipping", name)
+                    continue
+
+            if transport_type == "stdio":
                 params = StdioServerParameters(
                     command=cfg.command, args=cfg.args, env=cfg.env or None
                 )
                 read, write = await stack.enter_async_context(stdio_client(params))
-            elif cfg.url:
+            elif transport_type == "sse":
-                from mcp.client.streamable_http import streamable_http_client
+                def httpx_client_factory(
+                    headers: dict[str, str] | None = None,
+                    timeout: httpx.Timeout | None = None,
+                    auth: httpx.Auth | None = None,
+                ) -> httpx.AsyncClient:
+                    merged_headers = {**(cfg.headers or {}), **(headers or {})}
+                    return httpx.AsyncClient(
+                        headers=merged_headers or None,
+                        follow_redirects=True,
+                        timeout=timeout,
+                        auth=auth,
+                    )
+
+                read, write = await stack.enter_async_context(
+                    sse_client(cfg.url, httpx_client_factory=httpx_client_factory)
+                )
+            elif transport_type == "streamableHttp":
                 # 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(
@@ -82,7 +113,7 @@ async def connect_mcp_servers(
                     streamable_http_client(cfg.url, http_client=http_client)
                 )
             else:
-                logger.warning("MCP server '{}': no command or url configured, skipping", name)
+                logger.warning("MCP server '{}': unknown transport type '{}'", name, transport_type)
                 continue
 
             session = await stack.enter_async_context(ClientSession(read, write))

nanobot/channels/discord.py

@@ -54,6 +54,7 @@ class DiscordChannel(BaseChannel):
         self._heartbeat_task: asyncio.Task | None = None
         self._typing_tasks: dict[str, asyncio.Task] = {}
         self._http: httpx.AsyncClient | None = None
+        self._bot_user_id: str | None = None
 
     async def start(self) -> None:
         """Start the Discord gateway connection."""
@@ -170,6 +171,10 @@ class DiscordChannel(BaseChannel):
                 await self._identify()
             elif op == 0 and event_type == "READY":
                 logger.info("Discord gateway READY")
+                # Capture bot user ID for mention detection
+                user_data = payload.get("user") or {}
+                self._bot_user_id = user_data.get("id")
+                logger.info("Discord bot connected as user {}", self._bot_user_id)
             elif op == 0 and event_type == "MESSAGE_CREATE":
                 await self._handle_message_create(payload)
             elif op == 7:
@@ -226,6 +231,7 @@ class DiscordChannel(BaseChannel):
         sender_id = str(author.get("id", ""))
         channel_id = str(payload.get("channel_id", ""))
         content = payload.get("content") or ""
+        guild_id = payload.get("guild_id")
 
         if not sender_id or not channel_id:
             return
@@ -233,6 +239,11 @@ class DiscordChannel(BaseChannel):
         if not self.is_allowed(sender_id):
             return
 
+        # Check group channel policy (DMs always respond if is_allowed passes)
+        if guild_id is not None:
+            if not self._should_respond_in_group(payload, content):
+                return
+
         content_parts = [content] if content else []
         media_paths: list[str] = []
         media_dir = Path.home() / ".nanobot" / "media"
@@ -269,11 +280,32 @@ class DiscordChannel(BaseChannel):
             media=media_paths,
             metadata={
                 "message_id": str(payload.get("id", "")),
-                "guild_id": payload.get("guild_id"),
+                "guild_id": guild_id,
                 "reply_to": reply_to,
             },
         )
 
+    def _should_respond_in_group(self, payload: dict[str, Any], content: str) -> bool:
+        """Check if bot should respond in a group channel based on policy."""
+        if self.config.group_policy == "open":
+            return True
+
+        if self.config.group_policy == "mention":
+            # Check if bot was mentioned in the message
+            if self._bot_user_id:
+                # Check mentions array
+                mentions = payload.get("mentions") or []
+                for mention in mentions:
+                    if str(mention.get("id")) == self._bot_user_id:
+                        return True
+                # Also check content for mention format <@USER_ID>
+                if f"<@{self._bot_user_id}>" in content or f"<@!{self._bot_user_id}>" in content:
+                    return True
+            logger.debug("Discord message in {} ignored (bot not mentioned)", payload.get("channel_id"))
+            return False
+
+        return True
+
     async def _start_typing(self, channel_id: str) -> None:
         """Start periodic typing indicator for a channel."""
         await self._stop_typing(channel_id)

nanobot/channels/feishu.py

@@ -410,6 +410,34 @@ class FeishuChannel(BaseChannel):
             elements.extend(self._split_headings(remaining))
         return elements or [{"tag": "markdown", "content": content}]
 
+    @staticmethod
+    def _split_elements_by_table_limit(elements: list[dict], max_tables: int = 1) -> list[list[dict]]:
+        """Split card elements into groups with at most *max_tables* table elements each.
+
+        Feishu cards have a hard limit of one table per card (API error 11310).
+        When the rendered content contains multiple markdown tables each table is
+        placed in a separate card message so every table reaches the user.
+        """
+        if not elements:
+            return [[]]
+        groups: list[list[dict]] = []
+        current: list[dict] = []
+        table_count = 0
+        for el in elements:
+            if el.get("tag") == "table":
+                if table_count >= max_tables:
+                    if current:
+                        groups.append(current)
+                    current = []
+                    table_count = 0
+                current.append(el)
+                table_count += 1
+            else:
+                current.append(el)
+        if current:
+            groups.append(current)
+        return groups or [[]]
+
     def _split_headings(self, content: str) -> list[dict]:
         """Split content by headings, converting headings to div elements."""
         protected = content
@@ -444,8 +472,124 @@ class FeishuChannel(BaseChannel):
 
         return elements or [{"tag": "markdown", "content": content}]
 
+    # ── Smart format detection ──────────────────────────────────────────
+    # Patterns that indicate "complex" markdown needing card rendering
+    _COMPLEX_MD_RE = re.compile(
+        r"```"                        # fenced code block
+        r"|^\|.+\|.*\n\s*\|[-:\s|]+\|"  # markdown table (header + separator)
+        r"|^#{1,6}\s+"                # headings
+        , re.MULTILINE,
+    )
+
+    # Simple markdown patterns (bold, italic, strikethrough)
+    _SIMPLE_MD_RE = re.compile(
+        r"\*\*.+?\*\*"               # **bold**
+        r"|__.+?__"                   # __bold__
+        r"|(?<!\*)\*(?!\*)(.+?)(?<!\*)\*(?!\*)"  # *italic* (single *)
+        r"|~~.+?~~"                   # ~~strikethrough~~
+        , re.DOTALL,
+    )
+
+    # Markdown link: [text](url)
+    _MD_LINK_RE = re.compile(r"\[([^\]]+)\]\((https?://[^\)]+)\)")
+
+    # Unordered list items
+    _LIST_RE = re.compile(r"^[\s]*[-*+]\s+", re.MULTILINE)
+
+    # Ordered list items
+    _OLIST_RE = re.compile(r"^[\s]*\d+\.\s+", re.MULTILINE)
+
+    # Max length for plain text format
+    _TEXT_MAX_LEN = 200
+
+    # Max length for post (rich text) format; beyond this, use card
+    _POST_MAX_LEN = 2000
+
+    @classmethod
+    def _detect_msg_format(cls, content: str) -> str:
+        """Determine the optimal Feishu message format for *content*.
+
+        Returns one of:
+        - ``"text"``        – plain text, short and no markdown
+        - ``"post"``        – rich text (links only, moderate length)
+        - ``"interactive"`` – card with full markdown rendering
+        """
+        stripped = content.strip()
+
+        # Complex markdown (code blocks, tables, headings) → always card
+        if cls._COMPLEX_MD_RE.search(stripped):
+            return "interactive"
+
+        # Long content → card (better readability with card layout)
+        if len(stripped) > cls._POST_MAX_LEN:
+            return "interactive"
+
+        # Has bold/italic/strikethrough → card (post format can't render these)
+        if cls._SIMPLE_MD_RE.search(stripped):
+            return "interactive"
+
+        # Has list items → card (post format can't render list bullets well)
+        if cls._LIST_RE.search(stripped) or cls._OLIST_RE.search(stripped):
+            return "interactive"
+
+        # Has links → post format (supports <a> tags)
+        if cls._MD_LINK_RE.search(stripped):
+            return "post"
+
+        # Short plain text → text format
+        if len(stripped) <= cls._TEXT_MAX_LEN:
+            return "text"
+
+        # Medium plain text without any formatting → post format
+        return "post"
+
+    @classmethod
+    def _markdown_to_post(cls, content: str) -> str:
+        """Convert markdown content to Feishu post message JSON.
+
+        Handles links ``[text](url)`` as ``a`` tags; everything else as ``text`` tags.
+        Each line becomes a paragraph (row) in the post body.
+        """
+        lines = content.strip().split("\n")
+        paragraphs: list[list[dict]] = []
+
+        for line in lines:
+            elements: list[dict] = []
+            last_end = 0
+
+            for m in cls._MD_LINK_RE.finditer(line):
+                # Text before this link
+                before = line[last_end:m.start()]
+                if before:
+                    elements.append({"tag": "text", "text": before})
+                elements.append({
+                    "tag": "a",
+                    "text": m.group(1),
+                    "href": m.group(2),
+                })
+                last_end = m.end()
+
+            # Remaining text after last link
+            remaining = line[last_end:]
+            if remaining:
+                elements.append({"tag": "text", "text": remaining})
+
+            # Empty line → empty paragraph for spacing
+            if not elements:
+                elements.append({"tag": "text", "text": ""})
+
+            paragraphs.append(elements)
+
+        post_body = {
+            "zh_cn": {
+                "content": paragraphs,
+            }
+        }
+        return json.dumps(post_body, ensure_ascii=False)
+
     _IMAGE_EXTS = {".png", ".jpg", ".jpeg", ".gif", ".bmp", ".webp", ".ico", ".tiff", ".tif"}
     _AUDIO_EXTS = {".opus"}
+    _VIDEO_EXTS = {".mp4", ".mov", ".avi"}
     _FILE_TYPE_MAP = {
         ".opus": "opus", ".mp4": "mp4", ".pdf": "pdf", ".doc": "doc", ".docx": "doc",
         ".xls": "xls", ".xlsx": "xls", ".ppt": "ppt", ".pptx": "ppt",
@@ -654,18 +798,45 @@ class FeishuChannel(BaseChannel):
                 else:
                     key = await loop.run_in_executor(None, self._upload_file_sync, file_path)
                     if key:
-                        media_type = "audio" if ext in self._AUDIO_EXTS else "file"
+                        # Use msg_type "media" for audio/video so users can play inline;
+                        # "file" for everything else (documents, archives, etc.)
+                        if ext in self._AUDIO_EXTS or ext in self._VIDEO_EXTS:
+                            media_type = "media"
+                        else:
+                            media_type = "file"
                         await loop.run_in_executor(
                             None, self._send_message_sync,
                             receive_id_type, msg.chat_id, media_type, json.dumps({"file_key": key}, ensure_ascii=False),
                         )
 
             if msg.content and msg.content.strip():
-                card = {"config": {"wide_screen_mode": True}, "elements": self._build_card_elements(msg.content)}
+                fmt = self._detect_msg_format(msg.content)
-                await loop.run_in_executor(
+
-                    None, self._send_message_sync,
+                if fmt == "text":
-                    receive_id_type, msg.chat_id, "interactive", json.dumps(card, ensure_ascii=False),
+                    # Short plain text – send as simple text message
-                )
+                    text_body = json.dumps({"text": msg.content.strip()}, ensure_ascii=False)
+                    await loop.run_in_executor(
+                        None, self._send_message_sync,
+                        receive_id_type, msg.chat_id, "text", text_body,
+                    )
+
+                elif fmt == "post":
+                    # Medium content with links – send as rich-text post
+                    post_body = self._markdown_to_post(msg.content)
+                    await loop.run_in_executor(
+                        None, self._send_message_sync,
+                        receive_id_type, msg.chat_id, "post", post_body,
+                    )
+
+                else:
+                    # Complex / long content – send as interactive card
+                    elements = self._build_card_elements(msg.content)
+                    for chunk in self._split_elements_by_table_limit(elements):
+                        card = {"config": {"wide_screen_mode": True}, "elements": chunk}
+                        await loop.run_in_executor(
+                            None, self._send_message_sync,
+                            receive_id_type, msg.chat_id, "interactive", json.dumps(card, ensure_ascii=False),
+                        )
 
         except Exception as e:
             logger.error("Error sending Feishu message: {}", e)

nanobot/channels/telegram.py

@@ -225,7 +225,9 @@ class TelegramChannel(BaseChannel):
             logger.warning("Telegram bot not running")
             return
 
-        self._stop_typing(msg.chat_id)
+        # Only stop typing indicator for final responses
+        if not msg.metadata.get("_progress", False):
+            self._stop_typing(msg.chat_id)
 
         try:
             chat_id = int(msg.chat_id)
@@ -269,23 +271,41 @@ class TelegramChannel(BaseChannel):
 
         # Send text content
         if msg.content and msg.content != "[empty message]":
+            is_progress = msg.metadata.get("_progress", False)
+            draft_id = msg.metadata.get("message_id")
+            
             for chunk in _split_message(msg.content):
                 try:
                     html = _markdown_to_telegram_html(chunk)
-                    await self._app.bot.send_message(
+                    if is_progress and draft_id:
-                        chat_id=chat_id,
+                        await self._app.bot.send_message_draft(
-                        text=html,
+                            chat_id=chat_id,
-                        parse_mode="HTML",
+                            draft_id=draft_id,
-                        reply_parameters=reply_params
+                            text=html,
-                    )
+                            parse_mode="HTML"
+                        )
+                    else:
+                        await self._app.bot.send_message(
+                            chat_id=chat_id,
+                            text=html,
+                            parse_mode="HTML",
+                            reply_parameters=reply_params
+                        )
                 except Exception as e:
                     logger.warning("HTML parse failed, falling back to plain text: {}", e)
                     try:
-                        await self._app.bot.send_message(
+                        if is_progress and draft_id:
-                            chat_id=chat_id,
+                            await self._app.bot.send_message_draft(
-                            text=chunk,
+                                chat_id=chat_id,
-                            reply_parameters=reply_params
+                                draft_id=draft_id,
-                        )
+                                text=chunk
+                            )
+                        else:
+                            await self._app.bot.send_message(
+                                chat_id=chat_id,
+                                text=chunk,
+                                reply_parameters=reply_params
+                            )
                     except Exception as e2:
                         logger.error("Error sending Telegram message: {}", e2)
 

nanobot/cli/commands.py

@@ -7,6 +7,18 @@ import signal
 import sys
 from pathlib import Path
 
+# Force UTF-8 encoding for Windows console
+if sys.platform == "win32":
+    import locale
+    if sys.stdout.encoding != "utf-8":
+        os.environ["PYTHONIOENCODING"] = "utf-8"
+        # Re-open stdout/stderr with UTF-8 encoding
+        try:
+            sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+            sys.stderr.reconfigure(encoding="utf-8", errors="replace")
+        except Exception:
+            pass
+
 import typer
 from prompt_toolkit import PromptSession
 from prompt_toolkit.formatted_text import HTML
@@ -244,13 +256,15 @@ def _make_provider(config: Config):
 @app.command()
 def gateway(
     port: int = typer.Option(18790, "--port", "-p", help="Gateway port"),
+    workspace: str | None = typer.Option(None, "--workspace", "-w", help="Workspace directory"),
+    config: str | None = typer.Option(None, "--config", "-c", help="Config file path"),
     verbose: bool = typer.Option(False, "--verbose", "-v", help="Verbose output"),
 ):
     """Start the nanobot gateway."""
     from nanobot.agent.loop import AgentLoop
     from nanobot.bus.queue import MessageBus
     from nanobot.channels.manager import ChannelManager
-    from nanobot.config.loader import get_data_dir, load_config
+    from nanobot.config.loader import load_config
     from nanobot.cron.service import CronService
     from nanobot.cron.types import CronJob
     from nanobot.heartbeat.service import HeartbeatService
@@ -260,16 +274,20 @@ def gateway(
         import logging
         logging.basicConfig(level=logging.DEBUG)
 
-    console.print(f"{__logo__} Starting nanobot gateway on port {port}...")
+    config_path = Path(config) if config else None
+    config = load_config(config_path)
+    if workspace:
+        config.agents.defaults.workspace = workspace
 
-    config = load_config()
+    console.print(f"{__logo__} Starting nanobot gateway on port {port}...")
     sync_workspace_templates(config.workspace_path)
     bus = MessageBus()
     provider = _make_provider(config)
     session_manager = SessionManager(config.workspace_path)
 
     # Create cron service first (callback set after agent creation)
-    cron_store_path = get_data_dir() / "cron" / "jobs.json"
+    # Use workspace path for per-instance cron store
+    cron_store_path = config.workspace_path / "cron" / "jobs.json"
     cron = CronService(cron_store_path)
 
     # Create agent with cron service
@@ -511,12 +529,21 @@ def agent(
         else:
             cli_channel, cli_chat_id = "cli", session_id
 
-        def _exit_on_sigint(signum, frame):
+        def _handle_signal(signum, frame):
+            sig_name = signal.Signals(signum).name
             _restore_terminal()
-            console.print("\nGoodbye!")
+            console.print(f"\nReceived {sig_name}, goodbye!")
-            os._exit(0)
+            sys.exit(0)
 
-        signal.signal(signal.SIGINT, _exit_on_sigint)
+        signal.signal(signal.SIGINT, _handle_signal)
+        signal.signal(signal.SIGTERM, _handle_signal)
+        # SIGHUP is not available on Windows
+        if hasattr(signal, 'SIGHUP'):
+            signal.signal(signal.SIGHUP, _handle_signal)
+        # Ignore SIGPIPE to prevent silent process termination when writing to closed pipes
+        # SIGPIPE is not available on Windows
+        if hasattr(signal, 'SIGPIPE'):
+            signal.signal(signal.SIGPIPE, signal.SIG_IGN)
 
         async def run_interactive():
             bus_task = asyncio.create_task(agent_loop.run())

nanobot/config/schema.py

@@ -29,7 +29,9 @@ class TelegramConfig(Base):
     enabled: bool = False
     token: str = ""  # Bot token from @BotFather
     allow_from: list[str] = Field(default_factory=list)  # Allowed user IDs or usernames
-    proxy: str | None = None  # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
+    proxy: str | None = (
+        None  # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
+    )
     reply_to_message: bool = False  # If true, bot replies quote the original message
 
 
@@ -42,7 +44,9 @@ 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)
+    react_emoji: str = (
+        "THUMBSUP"  # Emoji type for message reactions (e.g. THUMBSUP, OK, DONE, SMILE)
+    )
 
 
 class DingTalkConfig(Base):
@@ -62,6 +66,7 @@ class DiscordConfig(Base):
     allow_from: list[str] = Field(default_factory=list)  # Allowed user IDs
     gateway_url: str = "wss://gateway.discord.gg/?v=10&encoding=json"
     intents: int = 37377  # GUILDS + GUILD_MESSAGES + DIRECT_MESSAGES + MESSAGE_CONTENT
+    group_policy: Literal["mention", "open"] = "mention"
 
 
 class MatrixConfig(Base):
@@ -72,9 +77,13 @@ class MatrixConfig(Base):
     access_token: str = ""
     user_id: str = ""  # @bot:matrix.org
     device_id: str = ""
-    e2ee_enabled: bool = True # Enable Matrix E2EE support (encryption + encrypted room handling).
+    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.
+    sync_stop_grace_seconds: int = (
-    max_media_bytes: int = 20 * 1024 * 1024 # Max attachment size accepted for Matrix media handling (inbound + outbound).
+        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)
@@ -105,7 +114,9 @@ class EmailConfig(Base):
     from_address: str = ""
 
     # Behavior
-    auto_reply_enabled: bool = True  # If false, inbound email is read but no automatic reply is sent
+    auto_reply_enabled: bool = (
+        True  # If false, inbound email is read but no automatic reply is sent
+    )
     poll_interval_seconds: int = 30
     mark_seen: bool = True
     max_body_chars: int = 12000
@@ -183,27 +194,32 @@ class QQConfig(Base):
     enabled: bool = False
     app_id: str = ""  # 机器人 ID (AppID) from q.qq.com
     secret: str = ""  # 机器人密钥 (AppSecret) from q.qq.com
-    allow_from: list[str] = Field(default_factory=list)  # Allowed user openids (empty = public access)
+    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
+    user_id: str = ""  # e.g. @bot:matrix.org
     device_id: str = ""
-    e2ee_enabled: bool = True               # end-to-end encryption support
+    e2ee_enabled: bool = True  # end-to-end encryption support
-    sync_stop_grace_seconds: int = 2        # graceful sync_forever shutdown timeout
+    sync_stop_grace_seconds: int = 2  # graceful sync_forever shutdown timeout
-    max_media_bytes: int = 20 * 1024 * 1024 # inbound + outbound attachment limit
+    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_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)
@@ -222,7 +238,9 @@ 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
+    provider: str = (
+        "auto"  # Provider name (e.g. "anthropic", "openrouter") or "auto" for auto-detection
+    )
     max_tokens: int = 8192
     temperature: float = 0.1
     max_tool_iterations: int = 40
@@ -260,8 +278,12 @@ class ProvidersConfig(Base):
     moonshot: ProviderConfig = Field(default_factory=ProviderConfig)
     minimax: ProviderConfig = Field(default_factory=ProviderConfig)
     aihubmix: ProviderConfig = Field(default_factory=ProviderConfig)  # AiHubMix API gateway
-    siliconflow: ProviderConfig = Field(default_factory=ProviderConfig)  # SiliconFlow (硅基流动) API gateway
+    siliconflow: ProviderConfig = Field(
-    volcengine: ProviderConfig = Field(default_factory=ProviderConfig)  # VolcEngine (火山引擎) API gateway
+        default_factory=ProviderConfig
+    )  # SiliconFlow (硅基流动) API gateway
+    volcengine: ProviderConfig = Field(
+        default_factory=ProviderConfig
+    )  # VolcEngine (火山引擎) API gateway
     openai_codex: ProviderConfig = Field(default_factory=ProviderConfig)  # OpenAI Codex (OAuth)
     github_copilot: ProviderConfig = Field(default_factory=ProviderConfig)  # Github Copilot (OAuth)
 
@@ -291,7 +313,9 @@ class WebSearchConfig(Base):
 class WebToolsConfig(Base):
     """Web tools configuration."""
 
-    proxy: str | None = None  # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
+    proxy: str | None = (
+        None  # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
+    )
     search: WebSearchConfig = Field(default_factory=WebSearchConfig)
 
 
@@ -305,12 +329,13 @@ class ExecToolConfig(Base):
 class MCPServerConfig(Base):
     """MCP server connection configuration (stdio or HTTP)."""
 
+    type: Literal["stdio", "sse", "streamableHttp"] | None = None  # auto-detected if omitted
     command: str = ""  # Stdio: command to run (e.g. "npx")
     args: list[str] = Field(default_factory=list)  # Stdio: command arguments
     env: dict[str, str] = Field(default_factory=dict)  # Stdio: extra env vars
-    url: str = ""  # HTTP: streamable HTTP endpoint URL
+    url: str = ""  # HTTP/SSE: endpoint URL
-    headers: dict[str, str] = Field(default_factory=dict)  # HTTP: Custom HTTP Headers
+    headers: dict[str, str] = Field(default_factory=dict)  # HTTP/SSE: custom headers
-    tool_timeout: int = 30  # Seconds before a tool call is cancelled
+    tool_timeout: int = 30  # seconds before a tool call is cancelled
 
 
 class ToolsConfig(Base):
@@ -336,7 +361,9 @@ class Config(BaseSettings):
         """Get expanded workspace path."""
         return Path(self.agents.defaults.workspace).expanduser()
 
-    def _match_provider(self, model: str | None = None) -> tuple["ProviderConfig | None", str | None]:
+    def _match_provider(
+        self, model: str | None = None
+    ) -> tuple["ProviderConfig | None", str | None]:
         """Match provider config and its registry name. Returns (config, spec_name)."""
         from nanobot.providers.registry import PROVIDERS
 

nanobot/providers/custom_provider.py

@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+import uuid
 from typing import Any
 
 import json_repair
@@ -15,7 +16,12 @@ class CustomProvider(LLMProvider):
     def __init__(self, api_key: str = "no-key", api_base: str = "http://localhost:8000/v1", default_model: str = "default"):
         super().__init__(api_key, api_base)
         self.default_model = default_model
-        self._client = AsyncOpenAI(api_key=api_key, base_url=api_base)
+        # Keep affinity stable for this provider instance to improve backend cache locality.
+        self._client = AsyncOpenAI(
+            api_key=api_key,
+            base_url=api_base,
+            default_headers={"x-session-affinity": uuid.uuid4().hex},
+        )
 
     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,

pyproject.toml

@@ -30,7 +30,7 @@ dependencies = [
     "rich>=14.0.0,<15.0.0",
     "croniter>=6.0.0,<7.0.0",
     "dingtalk-stream>=0.24.0,<1.0.0",
-    "python-telegram-bot[socks]>=22.0,<23.0",
+    "python-telegram-bot[socks]>=22.6,<23.0",
     "lark-oapi>=1.5.0,<2.0.0",
     "socksio>=1.0.0,<2.0.0",
     "python-socketio>=5.16.0,<6.0.0",

tests/test_feishu_table_split.py

@@ -0,0 +1,104 @@
+"""Tests for FeishuChannel._split_elements_by_table_limit.
+
+Feishu cards reject messages that contain more than one table element
+(API error 11310: card table number over limit).  The helper splits a flat
+list of card elements into groups so that each group contains at most one
+table, allowing nanobot to send multiple cards instead of failing.
+"""
+
+from nanobot.channels.feishu import FeishuChannel
+
+
+def _md(text: str) -> dict:
+    return {"tag": "markdown", "content": text}
+
+
+def _table() -> dict:
+    return {
+        "tag": "table",
+        "columns": [{"tag": "column", "name": "c0", "display_name": "A", "width": "auto"}],
+        "rows": [{"c0": "v"}],
+        "page_size": 2,
+    }
+
+
+split = FeishuChannel._split_elements_by_table_limit
+
+
+def test_empty_list_returns_single_empty_group() -> None:
+    assert split([]) == [[]]
+
+
+def test_no_tables_returns_single_group() -> None:
+    els = [_md("hello"), _md("world")]
+    result = split(els)
+    assert result == [els]
+
+
+def test_single_table_stays_in_one_group() -> None:
+    els = [_md("intro"), _table(), _md("outro")]
+    result = split(els)
+    assert len(result) == 1
+    assert result[0] == els
+
+
+def test_two_tables_split_into_two_groups() -> None:
+    # Use different row values so the two tables are not equal
+    t1 = {
+        "tag": "table",
+        "columns": [{"tag": "column", "name": "c0", "display_name": "A", "width": "auto"}],
+        "rows": [{"c0": "table-one"}],
+        "page_size": 2,
+    }
+    t2 = {
+        "tag": "table",
+        "columns": [{"tag": "column", "name": "c0", "display_name": "B", "width": "auto"}],
+        "rows": [{"c0": "table-two"}],
+        "page_size": 2,
+    }
+    els = [_md("before"), t1, _md("between"), t2, _md("after")]
+    result = split(els)
+    assert len(result) == 2
+    # First group: text before table-1 + table-1
+    assert t1 in result[0]
+    assert t2 not in result[0]
+    # Second group: text between tables + table-2 + text after
+    assert t2 in result[1]
+    assert t1 not in result[1]
+
+
+def test_three_tables_split_into_three_groups() -> None:
+    tables = [
+        {"tag": "table", "columns": [], "rows": [{"c0": f"t{i}"}], "page_size": 1}
+        for i in range(3)
+    ]
+    els = tables[:]
+    result = split(els)
+    assert len(result) == 3
+    for i, group in enumerate(result):
+        assert tables[i] in group
+
+
+def test_leading_markdown_stays_with_first_table() -> None:
+    intro = _md("intro")
+    t = _table()
+    result = split([intro, t])
+    assert len(result) == 1
+    assert result[0] == [intro, t]
+
+
+def test_trailing_markdown_after_second_table() -> None:
+    t1, t2 = _table(), _table()
+    tail = _md("end")
+    result = split([t1, t2, tail])
+    assert len(result) == 2
+    assert result[1] == [t2, tail]
+
+
+def test_non_table_elements_before_first_table_kept_in_first_group() -> None:
+    head = _md("head")
+    t1, t2 = _table(), _table()
+    result = split([head, t1, t2])
+    # head + t1 in group 0; t2 in group 1
+    assert result[0] == [head, t1]
+    assert result[1] == [t2]

tests/test_memory_consolidation_types.py

@@ -145,3 +145,78 @@ class TestMemoryConsolidationTypeHandling:
 
         assert result is True
         provider.chat.assert_not_called()
+
+    @pytest.mark.asyncio
+    async def test_list_arguments_extracts_first_dict(self, tmp_path: Path) -> None:
+        """Some providers return arguments as a list - extract first element if it's a dict."""
+        store = MemoryStore(tmp_path)
+        provider = AsyncMock()
+
+        # Simulate arguments being a list containing a dict
+        response = LLMResponse(
+            content=None,
+            tool_calls=[
+                ToolCallRequest(
+                    id="call_1",
+                    name="save_memory",
+                    arguments=[{
+                        "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()
+        assert "User likes testing." in store.memory_file.read_text()
+
+    @pytest.mark.asyncio
+    async def test_list_arguments_empty_list_returns_false(self, tmp_path: Path) -> None:
+        """Empty list arguments should return False."""
+        store = MemoryStore(tmp_path)
+        provider = AsyncMock()
+
+        response = LLMResponse(
+            content=None,
+            tool_calls=[
+                ToolCallRequest(
+                    id="call_1",
+                    name="save_memory",
+                    arguments=[],
+                )
+            ],
+        )
+        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 False
+
+    @pytest.mark.asyncio
+    async def test_list_arguments_non_dict_content_returns_false(self, tmp_path: Path) -> None:
+        """List with non-dict content should return False."""
+        store = MemoryStore(tmp_path)
+        provider = AsyncMock()
+
+        response = LLMResponse(
+            content=None,
+            tool_calls=[
+                ToolCallRequest(
+                    id="call_1",
+                    name="save_memory",
+                    arguments=["string", "content"],
+                )
+            ],
+        )
+        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 False