Merge remote-tracking branch 'origin/master' into refactor/eba

# Conflicts:
#	pyproject.toml
#	uv.lock

src/langbot/__init__.py

@@ -1,3 +1,3 @@
 """LangBot - Production-grade platform for building agentic IM bots"""
 
-__version__ = '4.9.6'
+__version__ = '4.10.1'

src/langbot/__main__.py

@@ -5,6 +5,8 @@ import argparse
 import sys
 import os
 
+from langbot.pkg.utils import paths
+
 # ASCII art banner
 asciiart = r"""
  _                   ___      _   
@@ -27,6 +29,12 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
         help='Use standalone plugin runtime / 使用独立插件运行时',
         default=False,
     )
+    parser.add_argument(
+        '--standalone-box',
+        action='store_true',
+        help='Use standalone box runtime / 使用独立 Box 运行时',
+        default=False,
+    )
     parser.add_argument('--debug', action='store_true', help='Debug mode / 调试模式', default=False)
     args = parser.parse_args()
 
@@ -35,6 +43,11 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
 
         platform.standalone_runtime = True
 
+    if args.standalone_box:
+        from langbot.pkg.utils import platform
+
+        platform.standalone_box = True
+
     if args.debug:
         from langbot.pkg.utils import constants
 
@@ -87,7 +100,7 @@ def main():
     # Set up the working directory
     # When installed as a package, we need to handle the working directory differently
     # We'll create data directory in current working directory if not exists
-    os.makedirs('data', exist_ok=True)
+    os.makedirs(paths.get_data_root(), exist_ok=True)
 
     loop = asyncio.new_event_loop()
 

src/langbot/libs/deerflow_api/__init__.py

@@ -0,0 +1,5 @@
+from .client import AsyncDeerFlowClient
+from .errors import DeerFlowAPIError
+from . import stream_utils
+
+__all__ = ['AsyncDeerFlowClient', 'DeerFlowAPIError', 'stream_utils']

src/langbot/libs/deerflow_api/client.py

@@ -0,0 +1,204 @@
+"""DeerFlow LangGraph HTTP API 客户端
+
+参考 astrbot 的 deerflow_api_client 实现，使用 httpx 适配 LangBot 风格。
+"""
+
+from __future__ import annotations
+
+import codecs
+import json
+import typing
+from collections.abc import AsyncGenerator
+
+import httpx
+
+from .errors import DeerFlowAPIError
+
+
+SSE_MAX_BUFFER_CHARS = 1_048_576
+
+
+def _normalize_sse_newlines(text: str) -> str:
+    """规范化 CRLF/CR 为 LF，确保 SSE 块分割稳定"""
+    return text.replace('\r\n', '\n').replace('\r', '\n')
+
+
+def _parse_sse_data_lines(data_lines: list[str]) -> typing.Any:
+    raw_data = '\n'.join(data_lines)
+    try:
+        return json.loads(raw_data)
+    except json.JSONDecodeError:
+        # 某些 LangGraph 兼容服务端会在单个 SSE 事件中用多个 data 行
+        # 发送多段 JSON 片段（例如 tuple payload）
+        parsed_lines: list[typing.Any] = []
+        can_parse_all = True
+        for line in data_lines:
+            line = line.strip()
+            if not line:
+                continue
+            try:
+                parsed_lines.append(json.loads(line))
+            except json.JSONDecodeError:
+                can_parse_all = False
+                break
+        if can_parse_all and parsed_lines:
+            return parsed_lines[0] if len(parsed_lines) == 1 else parsed_lines
+        return raw_data
+
+
+def _parse_sse_block(block: str) -> dict[str, typing.Any] | None:
+    if not block.strip():
+        return None
+
+    event_name = 'message'
+    data_lines: list[str] = []
+    for line in block.splitlines():
+        if line.startswith('event:'):
+            event_name = line[6:].strip()
+        elif line.startswith('data:'):
+            data_lines.append(line[5:].lstrip())
+
+    if not data_lines:
+        return None
+    return {'event': event_name, 'data': _parse_sse_data_lines(data_lines)}
+
+
+class AsyncDeerFlowClient:
+    """DeerFlow LangGraph HTTP API 客户端"""
+
+    api_base: str
+    headers: dict[str, str]
+
+    def __init__(
+        self,
+        api_base: str = 'http://127.0.0.1:2026',
+        api_key: str = '',
+        auth_header: str = '',
+    ) -> None:
+        self.api_base = api_base.rstrip('/')
+        self.headers: dict[str, str] = {}
+        if auth_header:
+            self.headers['Authorization'] = auth_header
+        elif api_key:
+            self.headers['Authorization'] = f'Bearer {api_key}'
+
+    async def create_thread(self, timeout: float = 20) -> dict[str, typing.Any]:
+        """创建一个新的 LangGraph thread
+
+        Returns:
+            包含 thread_id 等信息的字典
+        """
+        url = f'{self.api_base}/api/langgraph/threads'
+        payload = {'metadata': {}}
+
+        async with httpx.AsyncClient(
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            response = await client.post(
+                url,
+                headers=self.headers,
+                json=payload,
+            )
+            if response.status_code not in (200, 201):
+                raise DeerFlowAPIError(
+                    operation='create thread',
+                    status=response.status_code,
+                    body=response.text,
+                    url=url,
+                )
+            return response.json()
+
+    async def delete_thread(self, thread_id: str, timeout: float = 20) -> None:
+        """删除指定 thread"""
+        url = f'{self.api_base}/api/threads/{thread_id}'
+
+        async with httpx.AsyncClient(
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            response = await client.delete(url, headers=self.headers)
+            if response.status_code not in (200, 202, 204, 404):
+                raise DeerFlowAPIError(
+                    operation='delete thread',
+                    status=response.status_code,
+                    body=response.text,
+                    url=url,
+                    thread_id=thread_id,
+                )
+
+    async def stream_run(
+        self,
+        thread_id: str,
+        payload: dict[str, typing.Any],
+        timeout: float = 120,
+    ) -> AsyncGenerator[dict[str, typing.Any], None]:
+        """运行一次 LangGraph stream 请求，逐事件 yield
+
+        Yields:
+            事件字典 {'event': event_name, 'data': parsed_data}
+        """
+        url = f'{self.api_base}/api/langgraph/threads/{thread_id}/runs/stream'
+
+        # 流式请求使用单独的 read timeout 控制
+        stream_timeout = httpx.Timeout(
+            connect=min(timeout, 30),
+            read=timeout,
+            write=timeout,
+            pool=timeout,
+        )
+
+        async with httpx.AsyncClient(
+            trust_env=True,
+            timeout=stream_timeout,
+        ) as client:
+            async with client.stream(
+                'POST',
+                url,
+                headers={
+                    **self.headers,
+                    'Accept': 'text/event-stream',
+                    'Content-Type': 'application/json',
+                },
+                json=payload,
+            ) as resp:
+                if resp.status_code != 200:
+                    body = await resp.aread()
+                    raise DeerFlowAPIError(
+                        operation='runs/stream request',
+                        status=resp.status_code,
+                        body=body.decode('utf-8', errors='replace'),
+                        url=url,
+                        thread_id=thread_id,
+                    )
+
+                decoder = codecs.getincrementaldecoder('utf-8')('replace')
+                buffer = ''
+
+                async for chunk in resp.aiter_bytes(8192):
+                    buffer += _normalize_sse_newlines(decoder.decode(chunk))
+
+                    while '\n\n' in buffer:
+                        block, buffer = buffer.split('\n\n', 1)
+                        parsed = _parse_sse_block(block)
+                        if parsed is not None:
+                            yield parsed
+
+                    if len(buffer) > SSE_MAX_BUFFER_CHARS:
+                        # 缓冲区过大，强制 flush
+                        parsed = _parse_sse_block(buffer)
+                        if parsed is not None:
+                            yield parsed
+                        buffer = ''
+
+                # flush 剩余内容
+                buffer += _normalize_sse_newlines(decoder.decode(b'', final=True))
+                while '\n\n' in buffer:
+                    block, buffer = buffer.split('\n\n', 1)
+                    parsed = _parse_sse_block(block)
+                    if parsed is not None:
+                        yield parsed
+                if buffer.strip():
+                    parsed = _parse_sse_block(buffer)
+                    if parsed is not None:
+                        yield parsed

src/langbot/libs/deerflow_api/errors.py

@@ -0,0 +1,30 @@
+from __future__ import annotations
+
+
+class DeerFlowAPIError(Exception):
+    """DeerFlow API 请求失败"""
+
+    def __init__(
+        self,
+        *,
+        operation: str = '',
+        status: int = 0,
+        body: str = '',
+        url: str = '',
+        thread_id: str | None = None,
+        message: str = '',
+    ) -> None:
+        self.operation = operation
+        self.status = status
+        self.body = body
+        self.url = url
+        self.thread_id = thread_id
+
+        if message:
+            super().__init__(message)
+            return
+
+        msg = f'DeerFlow {operation} failed: status={status}, url={url}, body={body}'
+        if thread_id is not None:
+            msg = f'DeerFlow {operation} failed: thread_id={thread_id}, status={status}, url={url}, body={body}'
+        super().__init__(msg)

src/langbot/libs/deerflow_api/stream_utils.py

@@ -0,0 +1,212 @@
+"""DeerFlow LangGraph 流式响应解析工具
+
+参考 astrbot 实现的 deerflow_stream_utils。
+"""
+
+from __future__ import annotations
+
+import typing
+from collections.abc import Iterable
+
+
+def extract_text(content: typing.Any) -> str:
+    """从消息 content 中提取纯文本"""
+    if isinstance(content, str):
+        return content
+    if isinstance(content, dict):
+        if isinstance(content.get('text'), str):
+            return content['text']
+        if 'content' in content:
+            return extract_text(content.get('content'))
+        if 'kwargs' in content and isinstance(content['kwargs'], dict):
+            return extract_text(content['kwargs'].get('content'))
+    if isinstance(content, list):
+        parts: list[str] = []
+        for item in content:
+            if isinstance(item, str):
+                parts.append(item)
+            elif isinstance(item, dict):
+                item_type = item.get('type')
+                if item_type == 'text' and isinstance(item.get('text'), str):
+                    parts.append(item['text'])
+                elif 'content' in item:
+                    parts.append(extract_text(item['content']))
+        return '\n'.join([p for p in parts if p]).strip()
+    return str(content) if content is not None else ''
+
+
+def extract_messages_from_values_data(data: typing.Any) -> list[typing.Any]:
+    """从 values 事件中提取 messages 列表"""
+    candidates: list[typing.Any] = []
+    if isinstance(data, dict):
+        candidates.append(data)
+        if isinstance(data.get('values'), dict):
+            candidates.append(data['values'])
+    elif isinstance(data, list):
+        candidates.extend([x for x in data if isinstance(x, dict)])
+
+    for item in candidates:
+        messages = item.get('messages')
+        if isinstance(messages, list):
+            return messages
+    return []
+
+
+def is_ai_message(message: dict[str, typing.Any]) -> bool:
+    """判断是否为 AI/assistant 消息"""
+    role = str(message.get('role', '')).lower()
+    if role in {'assistant', 'ai'}:
+        return True
+
+    msg_type = str(message.get('type', '')).lower()
+    if msg_type in {'ai', 'assistant', 'aimessage', 'aimessagechunk'}:
+        return True
+    if 'ai' in msg_type and all(token not in msg_type for token in ('human', 'tool', 'system')):
+        return True
+    return False
+
+
+def extract_latest_ai_text(messages: Iterable[typing.Any]) -> str:
+    """获取最近一条 AI 消息的文本内容"""
+    if isinstance(messages, (list, tuple)):
+        iterable = reversed(messages)
+    else:
+        iterable = reversed(list(messages))
+
+    for msg in iterable:
+        if not isinstance(msg, dict):
+            continue
+        if is_ai_message(msg):
+            text = extract_text(msg.get('content'))
+            if text:
+                return text
+    return ''
+
+
+def extract_latest_ai_message(messages: Iterable[typing.Any]) -> dict[str, typing.Any] | None:
+    """获取最近一条 AI 消息对象"""
+    if isinstance(messages, (list, tuple)):
+        iterable = reversed(messages)
+    else:
+        iterable = reversed(list(messages))
+
+    for msg in iterable:
+        if not isinstance(msg, dict):
+            continue
+        if is_ai_message(msg):
+            return msg
+    return None
+
+
+def is_clarification_tool_message(message: dict[str, typing.Any]) -> bool:
+    """判断是否为澄清问题工具消息"""
+    msg_type = str(message.get('type', '')).lower()
+    tool_name = str(message.get('name', '')).lower()
+    return msg_type == 'tool' and tool_name == 'ask_clarification'
+
+
+def extract_latest_clarification_text(messages: Iterable[typing.Any]) -> str:
+    """提取最近的澄清问题文本"""
+    if isinstance(messages, (list, tuple)):
+        iterable = reversed(messages)
+    else:
+        iterable = reversed(list(messages))
+
+    for msg in iterable:
+        if not isinstance(msg, dict):
+            continue
+        if is_clarification_tool_message(msg):
+            text = extract_text(msg.get('content'))
+            if text:
+                return text
+    return ''
+
+
+def get_message_id(message: typing.Any) -> str:
+    """提取消息 ID"""
+    if not isinstance(message, dict):
+        return ''
+    msg_id = message.get('id')
+    return msg_id if isinstance(msg_id, str) else ''
+
+
+def extract_event_message_obj(data: typing.Any) -> dict[str, typing.Any] | None:
+    """从事件 data 中提取消息对象"""
+    msg_obj = data
+    if isinstance(data, (list, tuple)) and data:
+        msg_obj = data[0]
+    if isinstance(msg_obj, dict) and isinstance(msg_obj.get('data'), dict):
+        msg_obj = msg_obj['data']
+    return msg_obj if isinstance(msg_obj, dict) else None
+
+
+def extract_ai_delta_from_event_data(data: typing.Any) -> str:
+    """从 messages-tuple 事件中提取 AI delta 文本"""
+    msg_obj = extract_event_message_obj(data)
+    if not msg_obj:
+        return ''
+    if is_ai_message(msg_obj):
+        return extract_text(msg_obj.get('content'))
+    return ''
+
+
+def extract_clarification_from_event_data(data: typing.Any) -> str:
+    """从事件中提取澄清问题"""
+    msg_obj = extract_event_message_obj(data)
+    if not msg_obj:
+        return ''
+    if is_clarification_tool_message(msg_obj):
+        return extract_text(msg_obj.get('content'))
+    return ''
+
+
+def _iter_custom_event_items(data: typing.Any) -> list[dict[str, typing.Any]]:
+    items: list[dict[str, typing.Any]] = []
+    if isinstance(data, dict):
+        return [data]
+    if isinstance(data, list):
+        for item in data:
+            if isinstance(item, dict):
+                items.append(item)
+            elif isinstance(item, (list, tuple)):
+                for nested in item:
+                    if isinstance(nested, dict):
+                        items.append(nested)
+    return items
+
+
+def extract_task_failures_from_custom_event(data: typing.Any) -> list[str]:
+    """从 custom 事件中提取子任务失败信息"""
+    failures: list[str] = []
+    for item in _iter_custom_event_items(data):
+        event_type = str(item.get('type', '')).lower()
+        if event_type not in {'task_failed', 'task_timed_out'}:
+            continue
+
+        task_id = str(item.get('task_id', '')).strip()
+        error_text = extract_text(item.get('error')).strip()
+        if task_id and error_text:
+            failures.append(f'{task_id}: {error_text}')
+        elif error_text:
+            failures.append(error_text)
+        elif task_id:
+            failures.append(f'{task_id}: unknown error')
+        else:
+            failures.append('unknown task failure')
+    return failures
+
+
+def build_task_failure_summary(failures: list[str]) -> str:
+    """构建任务失败摘要"""
+    if not failures:
+        return ''
+    deduped: list[str] = []
+    seen: set[str] = set()
+    for failure in failures:
+        if failure not in seen:
+            seen.add(failure)
+            deduped.append(failure)
+    if len(deduped) == 1:
+        return f'DeerFlow subtask failed: {deduped[0]}'
+    joined = '\n'.join([f'- {item}' for item in deduped[:5]])
+    return f'DeerFlow subtasks failed:\n{joined}'

src/langbot/libs/dify_service_api/v1/client.py

@@ -145,7 +145,7 @@ class AsyncDifyServiceClient:
                     'file': file,
                 },
                 data={
-                    'user': (None, user),
+                    'user': user,
                 },
             )
 

src/langbot/libs/weknora_api/__init__.py

@@ -0,0 +1,4 @@
+from .client import AsyncWeKnoraClient
+from .errors import WeKnoraAPIError
+
+__all__ = ['AsyncWeKnoraClient', 'WeKnoraAPIError']

src/langbot/libs/weknora_api/client.py

@@ -0,0 +1,180 @@
+from __future__ import annotations
+
+import httpx
+import typing
+import json
+
+from .errors import WeKnoraAPIError
+
+
+class AsyncWeKnoraClient:
+    """WeKnora API 客户端"""
+
+    api_key: str
+    base_url: str
+
+    def __init__(
+        self,
+        api_key: str,
+        base_url: str = 'http://localhost:80/api/v1',
+    ) -> None:
+        self.api_key = api_key
+        self.base_url = base_url
+
+    async def create_session(
+        self,
+        title: str = '',
+        description: str = '',
+        timeout: float = 30.0,
+    ) -> str:
+        """创建会话，返回 session_id"""
+        async with httpx.AsyncClient(
+            base_url=self.base_url,
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            payload: dict[str, typing.Any] = {}
+            if title:
+                payload['title'] = title
+            if description:
+                payload['description'] = description
+
+            response = await client.post(
+                '/sessions',
+                headers={
+                    'X-API-Key': self.api_key,
+                    'Content-Type': 'application/json',
+                },
+                json=payload,
+            )
+
+            if response.status_code not in (200, 201):
+                raise WeKnoraAPIError(f'{response.status_code} {response.text}')
+
+            data = response.json()
+            return data['data']['id']
+
+    async def agent_chat(
+        self,
+        session_id: str,
+        query: str,
+        user: str,
+        agent_id: str = '',
+        knowledge_base_ids: list[str] | None = None,
+        web_search_enabled: bool = False,
+        timeout: float = 120.0,
+    ) -> typing.AsyncGenerator[dict[str, typing.Any], None]:
+        """
+        Agent 智能对话（SSE 流式）
+
+        响应事件类型:
+        - agent_query: Agent 开始处理
+        - thinking: 思考过程
+        - tool_call: 工具调用
+        - tool_result: 工具结果
+        - references: 知识库引用
+        - answer: 回答内容
+        - reflection: 反思
+        - session_title: 会话标题
+        - error: 错误
+        """
+        if knowledge_base_ids is None:
+            knowledge_base_ids = []
+
+        async with httpx.AsyncClient(
+            base_url=self.base_url,
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            payload: dict[str, typing.Any] = {
+                'query': query,
+                'agent_enabled': True,
+                'channel': 'im',
+            }
+            if agent_id:
+                payload['agent_id'] = agent_id
+            if knowledge_base_ids:
+                payload['knowledge_base_ids'] = knowledge_base_ids
+            if web_search_enabled:
+                payload['web_search_enabled'] = True
+
+            async with client.stream(
+                'POST',
+                f'/agent-chat/{session_id}',
+                headers={
+                    'X-API-Key': self.api_key,
+                    'Content-Type': 'application/json',
+                },
+                json=payload,
+            ) as r:
+                async for chunk in r.aiter_lines():
+                    if r.status_code != 200:
+                        raise WeKnoraAPIError(f'{r.status_code} {chunk}')
+                    if chunk.strip() == '':
+                        continue
+                    if chunk.startswith('data:'):
+                        try:
+                            data = json.loads(chunk[5:].strip())
+                        except json.JSONDecodeError:
+                            continue
+                        yield data
+                        # 收到 error 事件后主动结束流，避免上层未 raise 时持续等待
+                        if data.get('response_type') == 'error':
+                            return
+
+    async def knowledge_chat(
+        self,
+        session_id: str,
+        query: str,
+        user: str,
+        agent_id: str = 'builtin-quick-answer',
+        knowledge_base_ids: list[str] | None = None,
+        timeout: float = 120.0,
+    ) -> typing.AsyncGenerator[dict[str, typing.Any], None]:
+        """
+        知识库 RAG 问答（SSE 流式）
+
+        响应事件类型:
+        - references: 知识库引用
+        - answer: 回答内容
+        """
+        if knowledge_base_ids is None:
+            knowledge_base_ids = []
+
+        async with httpx.AsyncClient(
+            base_url=self.base_url,
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            payload: dict[str, typing.Any] = {
+                'query': query,
+                'channel': 'im',
+            }
+            if agent_id:
+                payload['agent_id'] = agent_id
+            if knowledge_base_ids:
+                payload['knowledge_base_ids'] = knowledge_base_ids
+
+            async with client.stream(
+                'POST',
+                f'/knowledge-chat/{session_id}',
+                headers={
+                    'X-API-Key': self.api_key,
+                    'Content-Type': 'application/json',
+                },
+                json=payload,
+            ) as r:
+                async for chunk in r.aiter_lines():
+                    if r.status_code != 200:
+                        raise WeKnoraAPIError(f'{r.status_code} {chunk}')
+                    if chunk.strip() == '':
+                        continue
+                    if chunk.startswith('data:'):
+                        try:
+                            data = json.loads(chunk[5:].strip())
+                        except json.JSONDecodeError:
+                            continue
+                        yield data
+                        # 收到 error 事件后主动结束流，避免上层未 raise 时持续等待
+                        if data.get('response_type') == 'error':
+                            return

src/langbot/libs/weknora_api/errors.py

@@ -0,0 +1,6 @@
+class WeKnoraAPIError(Exception):
+    """WeKnora API 请求失败"""
+
+    def __init__(self, message: str = ''):
+        self.message = message
+        super().__init__(self.message)

src/langbot/pkg/api/http/controller/groups/box.py

@@ -0,0 +1,22 @@
+from __future__ import annotations
+
+from .. import group
+
+
+@group.group_class('box', '/api/v1/box')
+class BoxRouterGroup(group.RouterGroup):
+    async def initialize(self) -> None:
+        @self.route('/status', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            status = await self.ap.box_service.get_status()
+            return self.success(data=status)
+
+        @self.route('/sessions', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            sessions = await self.ap.box_service.get_sessions()
+            return self.success(data=sessions)
+
+        @self.route('/errors', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            errors = self.ap.box_service.get_recent_errors()
+            return self.success(data=errors)

src/langbot/pkg/api/http/controller/groups/extensions.py

@@ -0,0 +1,52 @@
+from __future__ import annotations
+
+import asyncio
+import quart
+
+from .. import group
+
+
+@group.group_class('extensions', '/api/v1/extensions')
+class ExtensionsRouterGroup(group.RouterGroup):
+    """Unified API for installed extensions (plugins, MCP servers, skills)."""
+
+    async def initialize(self) -> None:
+        @self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def _() -> quart.Response:
+            plugins, mcp_servers, skills = await asyncio.gather(
+                self.ap.plugin_connector.list_plugins(),
+                self.ap.mcp_service.get_mcp_servers(contain_runtime_info=True),
+                self.ap.skill_service.list_skills(),
+                return_exceptions=True,
+            )
+
+            def _sort_key(item: dict) -> str:
+                if item['type'] == 'plugin':
+                    return (
+                        item['plugin']
+                        .get('manifest', {})
+                        .get('manifest', {})
+                        .get('metadata', {})
+                        .get('name', '')
+                        .lower()
+                    )
+                if item['type'] == 'mcp':
+                    return (item['server'].get('name') or '').lower()
+                if item['type'] == 'skill':
+                    return (item['skill'].get('display_name') or item['skill'].get('name') or '').lower()
+                return ''
+
+            extensions: list[dict] = []
+            if isinstance(plugins, list):
+                for plugin in plugins:
+                    extensions.append({'type': 'plugin', 'plugin': plugin})
+            if isinstance(mcp_servers, list):
+                for server in mcp_servers:
+                    extensions.append({'type': 'mcp', 'server': server})
+            if isinstance(skills, list):
+                for skill in skills:
+                    extensions.append({'type': 'skill', 'skill': skill})
+
+            extensions.sort(key=_sort_key)
+
+            return self.success(data={'extensions': extensions})

src/langbot/pkg/api/http/controller/groups/pipelines/pipelines.py

@@ -73,15 +73,21 @@ class PipelinesRouterGroup(group.RouterGroup):
                 plugins = await self.ap.plugin_connector.list_plugins(component_kinds=pipeline_component_kinds)
                 mcp_servers = await self.ap.mcp_service.get_mcp_servers(contain_runtime_info=True)
 
+                # Get available skills
+                available_skills = await self.ap.skill_service.list_skills()
+
                 extensions_prefs = pipeline.get('extensions_preferences', {})
                 return self.success(
                     data={
                         'enable_all_plugins': extensions_prefs.get('enable_all_plugins', True),
                         'enable_all_mcp_servers': extensions_prefs.get('enable_all_mcp_servers', True),
+                        'enable_all_skills': extensions_prefs.get('enable_all_skills', True),
                         'bound_plugins': extensions_prefs.get('plugins', []),
                         'available_plugins': plugins,
                         'bound_mcp_servers': extensions_prefs.get('mcp_servers', []),
                         'available_mcp_servers': mcp_servers,
+                        'bound_skills': extensions_prefs.get('skills', []),
+                        'available_skills': available_skills,
                     }
                 )
             elif quart.request.method == 'PUT':
@@ -89,11 +95,19 @@ class PipelinesRouterGroup(group.RouterGroup):
                 json_data = await quart.request.json
                 enable_all_plugins = json_data.get('enable_all_plugins', True)
                 enable_all_mcp_servers = json_data.get('enable_all_mcp_servers', True)
+                enable_all_skills = json_data.get('enable_all_skills', True)
                 bound_plugins = json_data.get('bound_plugins', [])
                 bound_mcp_servers = json_data.get('bound_mcp_servers', [])
+                bound_skills = json_data.get('bound_skills', [])
 
                 await self.ap.pipeline_service.update_pipeline_extensions(
-                    pipeline_uuid, bound_plugins, bound_mcp_servers, enable_all_plugins, enable_all_mcp_servers
+                    pipeline_uuid,
+                    bound_plugins,
+                    bound_mcp_servers,
+                    enable_all_plugins,
+                    enable_all_mcp_servers,
+                    bound_skills=bound_skills,
+                    enable_all_skills=enable_all_skills,
                 )
 
                 return self.success()

src/langbot/pkg/api/http/controller/groups/pipelines/websocket_chat.py

@@ -43,8 +43,12 @@ class WebSocketChatRouterGroup(group.RouterGroup):
                     await quart.websocket.send(json.dumps({'type': 'error', 'message': 'WebSocket adapter not found'}))
                     return
 
-                # Find the owning bot for this pipeline (e.g. a web_page_bot)
-                owner_bot = self._find_owner_bot(pipeline_uuid)
+                # Dashboard pipeline-debug sessions must always run under the
+                # built-in websocket_proxy_bot identity. We deliberately do NOT
+                # resolve a web_page_bot owner here — even if one is bound to
+                # the same pipeline, debug requests must not be attributed to
+                # it. The embed widget path (`/api/v1/embed/<bot>/ws/connect`)
+                # is the one that carries the page-bot identity.
 
                 # 注册连接
                 connection = await ws_connection_manager.add_connection(
@@ -73,7 +77,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
                 )
 
                 # 创建接收和发送任务
-                receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter, owner_bot))
+                receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter))
                 send_task = asyncio.create_task(self._handle_send(connection))
 
                 # 等待任务完成
@@ -181,14 +185,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
             except Exception as e:
                 return self.http_status(500, -1, f'Internal server error: {str(e)}')
 
-    def _find_owner_bot(self, pipeline_uuid: str):
-        """Find a user-created bot (e.g. web_page_bot) that owns this pipeline."""
-        for bot in self.ap.platform_mgr.bots:
-            if bot.bot_entity.adapter == 'web_page_bot' and bot.bot_entity.use_pipeline_uuid == pipeline_uuid:
-                return bot
-        return None
-
-    async def _handle_receive(self, connection, websocket_adapter, owner_bot=None):
+    async def _handle_receive(self, connection, websocket_adapter):
         """处理接收消息的任务"""
         try:
             while connection.is_active:
@@ -213,7 +210,10 @@ class WebSocketChatRouterGroup(group.RouterGroup):
                         logger.debug(f'收到消息: {data} from {connection.connection_id}')
 
                         # 处理消息（不等待响应，响应会通过broadcast异步发送）
-                        await websocket_adapter.handle_websocket_message(connection, data, owner_bot=owner_bot)
+                        # owner_bot is intentionally NOT passed: the dashboard
+                        # debug WebSocket must always run under the proxy bot,
+                        # never under a coincidentally-bound web_page_bot.
+                        await websocket_adapter.handle_websocket_message(connection, data)
 
                     elif message_type == 'disconnect':
                         # 客户端主动断开

src/langbot/pkg/api/http/controller/groups/platform/adapters.py

@@ -1,5 +1,6 @@
 import quart
 import mimetypes
+import asyncio
 from ... import group
 from langbot.pkg.utils import importutil
 
@@ -35,3 +36,617 @@ class AdaptersRouterGroup(group.RouterGroup):
             return quart.Response(
                 importutil.read_resource_file_bytes(icon_path), mimetype=mimetypes.guess_type(icon_path)[0]
             )
+
+        # In-memory session store for active registrations
+        _create_app_sessions: dict = {}
+        _SESSION_TTL = 900  # 15 minutes
+
+        def _cleanup_expired_sessions():
+            """Remove sessions that have exceeded their TTL."""
+            import time
+
+            now = time.time()
+            expired = [sid for sid, s in _create_app_sessions.items() if now - s.get('created_at', 0) > _SESSION_TTL]
+            for sid in expired:
+                session = _create_app_sessions.pop(sid, None)
+                if session and session.get('task') and not session['task'].done():
+                    session['task'].cancel()
+
+        @self.route('/lark/create-app', methods=['POST'])
+        async def _() -> str:
+            """Start Feishu one-click app registration. Returns session_id + QR code URL."""
+            import uuid
+            import time
+            import lark_oapi as lark
+            from lark_oapi.scene.registration.errors import AppAccessDeniedError, AppExpiredError
+
+            _cleanup_expired_sessions()
+
+            session_id = str(uuid.uuid4())
+            loop = asyncio.get_running_loop()
+
+            session = {
+                'status': 'pending',
+                'qr_url': None,
+                'expire_at': None,
+                'app_id': None,
+                'app_secret': None,
+                'error': None,
+                'created_at': time.time(),
+            }
+            _create_app_sessions[session_id] = session
+
+            def on_qr_code(info):
+                # May be called from a background thread by the SDK;
+                # use call_soon_threadsafe to safely update session state.
+                def _update():
+                    session['qr_url'] = info['url']
+                    session['expire_at'] = time.time() + 600  # 10 minutes
+                    session['status'] = 'waiting'
+
+                loop.call_soon_threadsafe(_update)
+
+            async def run_registration():
+                try:
+                    result = await lark.aregister_app(
+                        on_qr_code=on_qr_code,
+                        source='langbot',
+                    )
+                    session['status'] = 'success'
+                    session['app_id'] = result['client_id']
+                    session['app_secret'] = result['client_secret']
+                except AppAccessDeniedError:
+                    session['status'] = 'error'
+                    session['error'] = 'User denied authorization'
+                except AppExpiredError:
+                    session['status'] = 'error'
+                    session['error'] = 'QR code expired'
+                except Exception as e:
+                    session['status'] = 'error'
+                    session['error'] = str(e)
+
+            task = asyncio.create_task(run_registration())
+            session['task'] = task
+
+            # Wait for QR code to be ready (max 10 seconds)
+            for _ in range(20):
+                if session['qr_url']:
+                    break
+                await asyncio.sleep(0.5)
+
+            if not session['qr_url']:
+                task.cancel()
+                session['status'] = 'error'
+                session['error'] = 'Timeout waiting for QR code'
+                return self.http_status(504, -1, 'Timeout waiting for QR code')
+
+            return self.success(
+                data={
+                    'session_id': session_id,
+                    'qr_url': session['qr_url'],
+                    'expire_at': session['expire_at'],
+                }
+            )
+
+        @self.route('/lark/create-app/status/<session_id>', methods=['GET'])
+        async def _(session_id: str) -> str:
+            """Poll registration status."""
+            session = _create_app_sessions.get(session_id)
+            if not session:
+                return self.http_status(404, -1, 'Session not found')
+
+            data = {'status': session['status']}
+
+            if session['status'] == 'success':
+                data['app_id'] = session['app_id']
+                data['app_secret'] = session['app_secret']
+                _create_app_sessions.pop(session_id, None)
+            elif session['status'] == 'error':
+                data['error'] = session['error']
+                _create_app_sessions.pop(session_id, None)
+
+            return self.success(data=data)
+
+        @self.route('/lark/create-app/<session_id>', methods=['DELETE'])
+        async def _(session_id: str) -> str:
+            """Cancel and clean up a registration session."""
+            session = _create_app_sessions.pop(session_id, None)
+            if session and session.get('task') and not session['task'].done():
+                session['task'].cancel()
+            return self.success(data={})
+
+        # -----------------------------------------------------------------------
+        # WeChat QR Code Login
+        # -----------------------------------------------------------------------
+
+        _weixin_login_sessions: dict = {}
+        _WEIXIN_SESSION_TTL = 600  # 10 minutes (3 retries × 3 min QR validity)
+
+        def _cleanup_expired_weixin_sessions():
+            import time
+
+            now = time.time()
+            expired = [
+                sid for sid, s in _weixin_login_sessions.items() if now - s.get('created_at', 0) > _WEIXIN_SESSION_TTL
+            ]
+            for sid in expired:
+                session = _weixin_login_sessions.pop(sid, None)
+                if session and session.get('task') and not session['task'].done():
+                    session['task'].cancel()
+
+        @self.route('/weixin/login', methods=['POST'])
+        async def _() -> str:
+            """Start WeChat QR code login. Returns session_id + QR code data URL."""
+            import uuid
+            import time
+
+            from langbot.libs.openclaw_weixin_api.client import OpenClawWeixinClient, DEFAULT_BASE_URL
+
+            _cleanup_expired_weixin_sessions()
+
+            session_id = str(uuid.uuid4())
+            loop = asyncio.get_running_loop()
+
+            session = {
+                'status': 'pending',
+                'qr_data_url': None,
+                'expire_at': None,
+                'token': None,
+                'base_url': None,
+                'account_id': None,
+                'error': None,
+                'created_at': time.time(),
+            }
+            _weixin_login_sessions[session_id] = session
+
+            client = OpenClawWeixinClient(
+                base_url=DEFAULT_BASE_URL,
+                token='',
+            )
+
+            async def run_login():
+                try:
+
+                    def on_qrcode(qr_data_url: str, _qr_url: str):
+                        def _update():
+                            session['qr_data_url'] = qr_data_url
+                            session['expire_at'] = time.time() + 180
+                            session['status'] = 'waiting'
+
+                        loop.call_soon_threadsafe(_update)
+
+                    result = await client.login(
+                        max_retries=1,
+                        poll_timeout_ms=180_000,
+                        on_qrcode=on_qrcode,
+                    )
+                    session['status'] = 'success'
+                    session['token'] = result.token
+                    session['base_url'] = result.base_url
+                    session['account_id'] = result.account_id
+                except Exception as e:
+                    error_message = str(e)
+                    if 'expired' in error_message.lower() or 'max retries exceeded' in error_message.lower():
+                        session['status'] = 'expired'
+                        session['error'] = 'QR code expired'
+                    else:
+                        session['status'] = 'error'
+                        session['error'] = error_message
+                finally:
+                    await client.close()
+
+            task = asyncio.create_task(run_login())
+            session['task'] = task
+
+            # Wait for QR code to be ready (max 10 seconds)
+            for _ in range(20):
+                if session['qr_data_url']:
+                    break
+                await asyncio.sleep(0.5)
+
+            if not session['qr_data_url']:
+                task.cancel()
+                session['status'] = 'error'
+                session['error'] = 'Timeout waiting for QR code'
+                return self.http_status(504, -1, 'Timeout waiting for QR code')
+
+            return self.success(
+                data={
+                    'session_id': session_id,
+                    'qr_data_url': session['qr_data_url'],
+                    'expire_at': session['expire_at'],
+                }
+            )
+
+        @self.route('/weixin/login/status/<session_id>', methods=['GET'])
+        async def _(session_id: str) -> str:
+            """Poll WeChat login status."""
+            session = _weixin_login_sessions.get(session_id)
+            if not session:
+                return self.http_status(404, -1, 'Session not found')
+
+            data = {
+                'status': session['status'],
+                'qr_data_url': session['qr_data_url'],
+                'expire_at': session['expire_at'],
+            }
+
+            if session['status'] == 'success':
+                data['token'] = session['token']
+                data['base_url'] = session['base_url']
+                data['account_id'] = session['account_id']
+                _weixin_login_sessions.pop(session_id, None)
+            elif session['status'] == 'error':
+                data['error'] = session['error']
+                _weixin_login_sessions.pop(session_id, None)
+            elif session['status'] == 'expired':
+                data['error'] = session['error']
+                _weixin_login_sessions.pop(session_id, None)
+
+            return self.success(data=data)
+
+        @self.route('/weixin/login/<session_id>', methods=['DELETE'])
+        async def _(session_id: str) -> str:
+            """Cancel and clean up a WeChat login session."""
+            session = _weixin_login_sessions.pop(session_id, None)
+            if session and session.get('task') and not session['task'].done():
+                session['task'].cancel()
+            return self.success(data={})
+
+        # -----------------------------------------------------------------------
+        # DingTalk Device Flow QR Code Login
+        # -----------------------------------------------------------------------
+
+        _dingtalk_sessions: dict = {}
+        _DINGTALK_SESSION_TTL = 600  # 10 minutes (QR code validity window)
+
+        def _cleanup_expired_dingtalk_sessions():
+            import time
+
+            now = time.time()
+            expired = [
+                sid for sid, s in _dingtalk_sessions.items() if now - s.get('created_at', 0) > _DINGTALK_SESSION_TTL
+            ]
+            for sid in expired:
+                session = _dingtalk_sessions.pop(sid, None)
+                if session and session.get('task') and not session['task'].done():
+                    session['task'].cancel()
+
+        @self.route('/dingtalk/create-app', methods=['POST'])
+        async def _() -> str:
+            """Start DingTalk one-click app creation via Device Flow. Returns session_id + QR code URL."""
+            import uuid
+            import time
+            import aiohttp
+
+            DINGTALK_BASE_URL = 'https://oapi.dingtalk.com'
+
+            _cleanup_expired_dingtalk_sessions()
+
+            session_id = str(uuid.uuid4())
+
+            session = {
+                'status': 'pending',
+                'qr_url': None,
+                'expire_at': None,
+                'client_id': None,
+                'client_secret': None,
+                'error': None,
+                'created_at': time.time(),
+                'device_code': None,
+                'interval': 5,
+            }
+            _dingtalk_sessions[session_id] = session
+
+            async def run_device_flow():
+                try:
+                    timeout = aiohttp.ClientTimeout(total=10)
+                    async with aiohttp.ClientSession(timeout=timeout) as http:
+                        # Step 1: Init — get nonce
+                        async with http.post(
+                            f'{DINGTALK_BASE_URL}/app/registration/init',
+                            json={'source': 'langbot'},
+                        ) as resp:
+                            try:
+                                data = await resp.json()
+                            except (aiohttp.ContentTypeError, ValueError):
+                                session['status'] = 'error'
+                                session['error'] = 'Invalid response from DingTalk service'
+                                return
+                            if data.get('errcode', -1) != 0:
+                                session['status'] = 'error'
+                                session['error'] = data.get('errmsg', 'Failed to init')
+                                return
+                            nonce = data['nonce']
+
+                        # Step 2: Begin — get device_code + QR URL
+                        async with http.post(
+                            f'{DINGTALK_BASE_URL}/app/registration/begin',
+                            json={'nonce': nonce},
+                        ) as resp:
+                            try:
+                                data = await resp.json()
+                            except (aiohttp.ContentTypeError, ValueError):
+                                session['status'] = 'error'
+                                session['error'] = 'Invalid response from DingTalk service'
+                                return
+                            if data.get('errcode', -1) != 0:
+                                session['status'] = 'error'
+                                session['error'] = data.get('errmsg', 'Failed to begin authorization')
+                                return
+
+                            device_code = data['device_code']
+                            verification_uri_complete = data.get('verification_uri_complete', '')
+                            expires_in = data.get('expires_in', 7200)
+                            interval = data.get('interval', 5)
+
+                            session['device_code'] = device_code
+                            session['interval'] = interval
+                            session['qr_url'] = verification_uri_complete
+                            session['expire_at'] = time.time() + 600  # QR code valid for ~10 min
+                            session['status'] = 'waiting'
+
+                        # Step 3: Poll for authorization result
+                        deadline = time.time() + expires_in
+                        while time.time() < deadline:
+                            await asyncio.sleep(interval)
+
+                            async with http.post(
+                                f'{DINGTALK_BASE_URL}/app/registration/poll',
+                                json={'device_code': device_code},
+                            ) as poll_resp:
+                                try:
+                                    poll_data = await poll_resp.json()
+                                except (aiohttp.ContentTypeError, ValueError):
+                                    continue
+
+                                if poll_data.get('errcode', -1) != 0:
+                                    session['status'] = 'error'
+                                    session['error'] = poll_data.get('errmsg', 'Poll failed')
+                                    return
+
+                                status = poll_data.get('status', '')
+
+                                if status == 'SUCCESS':
+                                    session['status'] = 'success'
+                                    session['client_id'] = poll_data.get('client_id', '')
+                                    session['client_secret'] = poll_data.get('client_secret', '')
+                                    return
+                                elif status == 'FAIL':
+                                    session['status'] = 'error'
+                                    session['error'] = poll_data.get('fail_reason', 'Authorization failed')
+                                    return
+                                elif status == 'EXPIRED':
+                                    session['status'] = 'error'
+                                    session['error'] = 'QR code expired'
+                                    return
+                                # status == 'WAITING': continue polling
+
+                        # Timeout
+                        session['status'] = 'error'
+                        session['error'] = 'QR code expired'
+
+                except asyncio.CancelledError:
+                    return
+                except Exception as e:
+                    session['status'] = 'error'
+                    session['error'] = str(e)
+
+            task = asyncio.create_task(run_device_flow())
+            session['task'] = task
+
+            # Wait for QR code to be ready (max 10 seconds)
+            for _ in range(20):
+                if session['qr_url'] or session['error']:
+                    break
+                await asyncio.sleep(0.5)
+
+            if session['error']:
+                task.cancel()
+                return self.http_status(502, -1, session['error'])
+
+            if not session['qr_url']:
+                task.cancel()
+                session['status'] = 'error'
+                session['error'] = 'Timeout waiting for QR code'
+                return self.http_status(504, -1, 'Timeout waiting for QR code')
+
+            return self.success(
+                data={
+                    'session_id': session_id,
+                    'qr_url': session['qr_url'],
+                    'expire_at': session['expire_at'],
+                }
+            )
+
+        @self.route('/dingtalk/create-app/status/<session_id>', methods=['GET'])
+        async def _(session_id: str) -> str:
+            """Poll DingTalk Device Flow status."""
+            _cleanup_expired_dingtalk_sessions()
+            session = _dingtalk_sessions.get(session_id)
+            if not session:
+                return self.http_status(404, -1, 'Session not found')
+
+            data = {'status': session['status']}
+
+            if session['status'] == 'success':
+                data['client_id'] = session['client_id']
+                data['client_secret'] = session['client_secret']
+                _dingtalk_sessions.pop(session_id, None)
+            elif session['status'] == 'error':
+                data['error'] = session['error']
+                _dingtalk_sessions.pop(session_id, None)
+
+            return self.success(data=data)
+
+        @self.route('/dingtalk/create-app/<session_id>', methods=['DELETE'])
+        async def _(session_id: str) -> str:
+            """Cancel and clean up a DingTalk Device Flow session."""
+            session = _dingtalk_sessions.pop(session_id, None)
+            if session and session.get('task') and not session['task'].done():
+                session['task'].cancel()
+            return self.success(data={})
+
+        # -----------------------------------------------------------------------
+        # WeComBot QR Code One-Click Create
+        # -----------------------------------------------------------------------
+
+        _wecombot_sessions: dict = {}
+        _WECOMBOT_SESSION_TTL = 300  # 5 minutes (WeCom QR validity window)
+
+        def _cleanup_expired_wecombot_sessions():
+            import time
+
+            now = time.time()
+            expired = [
+                sid for sid, s in _wecombot_sessions.items() if now - s.get('created_at', 0) > _WECOMBOT_SESSION_TTL
+            ]
+            for sid in expired:
+                session = _wecombot_sessions.pop(sid, None)
+                if session and session.get('task') and not session['task'].done():
+                    session['task'].cancel()
+
+        @self.route('/wecombot/create-bot', methods=['POST'])
+        async def _() -> str:
+            """Start WeComBot one-click creation via QR code. Returns session_id + QR code URL."""
+            import uuid
+            import time
+            import aiohttp
+
+            WECOM_QC_GENERATE_URL = 'https://work.weixin.qq.com/ai/qc/generate'
+            WECOM_QC_QUERY_URL = 'https://work.weixin.qq.com/ai/qc/query_result'
+
+            _cleanup_expired_wecombot_sessions()
+
+            session_id = str(uuid.uuid4())
+
+            session = {
+                'status': 'pending',
+                'qr_url': None,
+                'expire_at': None,
+                'botid': None,
+                'secret': None,
+                'error': None,
+                'created_at': time.time(),
+                'scode': None,
+                'task': None,
+            }
+            _wecombot_sessions[session_id] = session
+
+            async def run_qr_flow():
+                try:
+                    timeout = aiohttp.ClientTimeout(total=10)
+                    async with aiohttp.ClientSession(timeout=timeout) as http:
+                        # Step 1: Generate QR code
+                        async with http.get(
+                            f'{WECOM_QC_GENERATE_URL}?source=langbot&plat=0',
+                        ) as resp:
+                            try:
+                                data = await resp.json()
+                            except (aiohttp.ContentTypeError, ValueError):
+                                session['status'] = 'error'
+                                session['error'] = 'Invalid response from WeCom service'
+                                return
+                            if not data.get('data', {}).get('scode') or not data.get('data', {}).get('auth_url'):
+                                session['status'] = 'error'
+                                session['error'] = data.get('errmsg', 'Failed to generate QR code')
+                                return
+
+                            scode = data['data']['scode']
+                            auth_url = data['data']['auth_url']
+
+                            session['scode'] = scode
+                            session['qr_url'] = auth_url
+                            session['expire_at'] = time.time() + _WECOMBOT_SESSION_TTL
+                            session['status'] = 'waiting'
+
+                        # Step 2: Poll for scan result
+                        deadline = time.time() + _WECOMBOT_SESSION_TTL
+                        while time.time() < deadline:
+                            await asyncio.sleep(3)
+
+                            async with http.get(
+                                f'{WECOM_QC_QUERY_URL}?scode={scode}',
+                            ) as poll_resp:
+                                try:
+                                    poll_data = await poll_resp.json()
+                                except (aiohttp.ContentTypeError, ValueError):
+                                    continue
+
+                                status = poll_data.get('data', {}).get('status', '')
+                                if status == 'success':
+                                    bot_info = poll_data.get('data', {}).get('bot_info', {})
+                                    if bot_info.get('botid') and bot_info.get('secret'):
+                                        session['status'] = 'success'
+                                        session['botid'] = bot_info['botid']
+                                        session['secret'] = bot_info['secret']
+                                        return
+                                    else:
+                                        session['status'] = 'error'
+                                        session['error'] = 'Scan succeeded but bot info is incomplete'
+                                        return
+
+                        # Timeout
+                        session['status'] = 'error'
+                        session['error'] = 'QR code expired'
+
+                except asyncio.CancelledError:
+                    return
+                except Exception as e:
+                    session['status'] = 'error'
+                    session['error'] = str(e)
+
+            task = asyncio.create_task(run_qr_flow())
+            session['task'] = task
+
+            # Wait for QR code to be ready (max 10 seconds)
+            for _ in range(20):
+                if session['qr_url'] or session['error']:
+                    break
+                await asyncio.sleep(0.5)
+
+            if session['error']:
+                task.cancel()
+                return self.http_status(502, -1, session['error'])
+
+            if not session['qr_url']:
+                task.cancel()
+                session['status'] = 'error'
+                session['error'] = 'Timeout waiting for QR code'
+                return self.http_status(504, -1, 'Timeout waiting for QR code')
+
+            return self.success(
+                data={
+                    'session_id': session_id,
+                    'qr_url': session['qr_url'],
+                    'expire_at': session['expire_at'],
+                }
+            )
+
+        @self.route('/wecombot/create-bot/status/<session_id>', methods=['GET'])
+        async def _(session_id: str) -> str:
+            """Poll WeComBot creation status."""
+            _cleanup_expired_wecombot_sessions()
+            session = _wecombot_sessions.get(session_id)
+            if not session:
+                return self.http_status(404, -1, 'Session not found')
+
+            data = {'status': session['status']}
+
+            if session['status'] == 'success':
+                data['botid'] = session['botid']
+                data['secret'] = session['secret']
+                _wecombot_sessions.pop(session_id, None)
+            elif session['status'] == 'error':
+                data['error'] = session['error']
+                _wecombot_sessions.pop(session_id, None)
+
+            return self.success(data=data)
+
+        @self.route('/wecombot/create-bot/<session_id>', methods=['DELETE'])
+        async def _(session_id: str) -> str:
+            """Cancel and clean up a WeComBot creation session."""
+            session = _wecombot_sessions.pop(session_id, None)
+            if session and session.get('task') and not session['task'].done():
+                session['task'].cancel()
+            return self.success(data={})

src/langbot/pkg/api/http/controller/groups/plugins.py

@@ -1,14 +1,20 @@
 from __future__ import annotations
 
 import base64
+import io
 import quart
 import re
 import httpx
 import uuid
 import os
+import zipfile
+import yaml
+from urllib.parse import urlparse
 import posixpath
+import sqlalchemy
 
 from .....core import taskmgr
+from .....entity.persistence import plugin as persistence_plugin
 from .. import group
 from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
 
@@ -39,8 +45,109 @@ def _normalize_plugin_asset_path(filepath: str) -> str | None:
     return f'assets/{normalized}'
 
 
+def _get_request_origin() -> str:
+    """Return the public request origin, respecting reverse-proxy headers."""
+    forwarded_proto = quart.request.headers.get('X-Forwarded-Proto', '').split(',')[0].strip()
+    forwarded_host = quart.request.headers.get('X-Forwarded-Host', '').split(',')[0].strip()
+
+    scheme = forwarded_proto or quart.request.scheme
+    host = forwarded_host or quart.request.host
+    return f'{scheme}://{host}'
+
+
 @group.group_class('plugins', '/api/v1/plugins')
 class PluginsRouterGroup(group.RouterGroup):
+    @staticmethod
+    def _normalize_archive_path(path: str) -> str:
+        normalized = str(path or '').replace('\\', '/').strip('/')
+        return posixpath.normpath(normalized) if normalized else ''
+
+    @classmethod
+    def _component_source_path(cls, entry) -> str:
+        if isinstance(entry, dict):
+            return cls._normalize_archive_path(entry.get('path') or '')
+        return cls._normalize_archive_path(str(entry or ''))
+
+    @classmethod
+    def _count_component_configs(cls, component_config, archive_names: list[str]) -> int:
+        normalized_names = [cls._normalize_archive_path(name) for name in archive_names]
+        component_files: set[str] = set()
+
+        if isinstance(component_config, list):
+            return len(component_config)
+        if not isinstance(component_config, dict):
+            return 1 if component_config else 0
+
+        for entry in component_config.get('fromFiles') or []:
+            source_path = cls._component_source_path(entry)
+            if source_path and source_path in normalized_names:
+                component_files.add(source_path)
+
+        for entry in component_config.get('fromDirs') or []:
+            source_dir = cls._component_source_path(entry).rstrip('/')
+            if not source_dir:
+                continue
+            prefix = f'{source_dir}/'
+            for archive_name in normalized_names:
+                if not archive_name.startswith(prefix):
+                    continue
+                if archive_name.lower().endswith(('.yaml', '.yml')):
+                    component_files.add(archive_name)
+
+        if component_files:
+            return len(component_files)
+
+        return 1 if any(key in component_config for key in ('path', 'name', 'kind')) else 0
+
+    @classmethod
+    def _count_plugin_components(cls, components, archive_names: list[str]) -> dict[str, int]:
+        if not isinstance(components, dict):
+            return {}
+
+        component_counts: dict[str, int] = {}
+        for kind, component_config in components.items():
+            count = cls._count_component_configs(component_config, archive_names)
+            if count > 0:
+                component_counts[str(kind)] = count
+        return component_counts
+
+    @staticmethod
+    def _parse_github_repo_url(repo_url: str) -> dict | None:
+        raw_url = str(repo_url or '').strip()
+        if not raw_url:
+            return None
+
+        if not re.match(r'^[a-zA-Z][a-zA-Z0-9+.-]*://', raw_url):
+            raw_url = f'https://{raw_url}'
+
+        parsed = urlparse(raw_url)
+        if parsed.netloc.lower() not in ('github.com', 'www.github.com'):
+            return None
+
+        parts = [part for part in parsed.path.strip('/').split('/') if part]
+        if len(parts) < 2:
+            return None
+
+        owner = parts[0]
+        repo = parts[1]
+        if repo.endswith('.git'):
+            repo = repo[:-4]
+        if not owner or not repo:
+            return None
+
+        ref = ''
+        subdir = ''
+        if len(parts) >= 4 and parts[2] in ('tree', 'blob'):
+            ref = parts[3]
+            subdir = '/'.join(parts[4:]).strip('/')
+
+        return {
+            'owner': owner,
+            'repo': repo,
+            'ref': ref,
+            'subdir': subdir,
+        }
+
     async def _check_extensions_limit(self) -> str | None:
         """Check if extensions limit is reached. Returns error response if limit exceeded, None otherwise."""
         limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {})
@@ -138,7 +245,15 @@ class PluginsRouterGroup(group.RouterGroup):
                 return self.http_status(404, -1, 'plugin not found')
 
             if quart.request.method == 'GET':
-                return self.success(data={'config': plugin['plugin_config']})
+                result = await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.select(persistence_plugin.PluginSetting.config)
+                    .where(persistence_plugin.PluginSetting.plugin_author == author)
+                    .where(persistence_plugin.PluginSetting.plugin_name == plugin_name)
+                )
+                persisted_config = result.scalar_one_or_none()
+
+                config = persisted_config if persisted_config is not None else plugin['plugin_config']
+                return self.success(data={'config': config})
             elif quart.request.method == 'PUT':
                 data = await quart.request.json
 
@@ -189,7 +304,7 @@ class PluginsRouterGroup(group.RouterGroup):
             # CSP for HTML pages served to sandboxed iframes (opaque origin).
             # 'self' doesn't work in sandboxed iframes — use actual server origin.
             if mime_type and mime_type.startswith('text/html'):
-                origin = f'{quart.request.scheme}://{quart.request.host}'
+                origin = _get_request_origin()
                 resp.headers['Content-Security-Policy'] = (
                     f'default-src {origin}; '
                     f"script-src {origin} 'unsafe-inline'; "
@@ -234,17 +349,37 @@ class PluginsRouterGroup(group.RouterGroup):
             data = await quart.request.json
             repo_url = data.get('repo_url', '')
 
-            # Parse GitHub repository URL to extract owner and repo
-            # Supports: https://github.com/owner/repo or github.com/owner/repo
-            pattern = r'github\.com/([^/]+)/([^/]+?)(?:\.git)?(?:/.*)?$'
-            match = re.search(pattern, repo_url)
-
-            if not match:
+            parsed_repo = self._parse_github_repo_url(repo_url)
+            if not parsed_repo:
                 return self.http_status(400, -1, 'Invalid GitHub repository URL')
 
-            owner, repo = match.groups()
+            owner = parsed_repo['owner']
+            repo = parsed_repo['repo']
+            requested_ref = parsed_repo['ref']
+            requested_subdir = parsed_repo['subdir']
 
             try:
+                if requested_ref:
+                    return self.success(
+                        data={
+                            'releases': [
+                                {
+                                    'id': 0,
+                                    'tag_name': requested_ref,
+                                    'name': requested_ref,
+                                    'published_at': '',
+                                    'prerelease': False,
+                                    'draft': False,
+                                    'source_type': 'branch',
+                                    'archive_url': f'https://api.github.com/repos/{owner}/{repo}/zipball/{requested_ref}',
+                                }
+                            ],
+                            'owner': owner,
+                            'repo': repo,
+                            'source_subdir': requested_subdir,
+                        }
+                    )
+
                 # Fetch releases from GitHub API
                 url = f'https://api.github.com/repos/{owner}/{repo}/releases'
                 async with httpx.AsyncClient(
@@ -270,7 +405,14 @@ class PluginsRouterGroup(group.RouterGroup):
                         }
                     )
 
-                return self.success(data={'releases': formatted_releases, 'owner': owner, 'repo': repo})
+                return self.success(
+                    data={
+                        'releases': formatted_releases,
+                        'owner': owner,
+                        'repo': repo,
+                        'source_subdir': requested_subdir,
+                    }
+                )
             except httpx.RequestError as e:
                 return self.http_status(500, -1, f'Failed to fetch releases: {str(e)}')
 
@@ -425,6 +567,62 @@ class PluginsRouterGroup(group.RouterGroup):
 
             return self.success(data={'task_id': wrapper.id})
 
+        @self.route('/install/local/preview', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def _() -> str:
+            file = (await quart.request.files).get('file')
+            if file is None:
+                return self.http_status(400, -1, 'file is required')
+
+            file_bytes = file.read()
+            try:
+                with zipfile.ZipFile(io.BytesIO(file_bytes)) as zf:
+                    names = [name for name in zf.namelist() if not name.endswith('/')]
+                    manifest_name = next(
+                        (
+                            name
+                            for name in names
+                            if name.replace('\\', '/').strip('/').lower() in ('manifest.yaml', 'manifest.yml')
+                        ),
+                        None,
+                    )
+                    if manifest_name is None:
+                        return self.http_status(400, -1, 'manifest.yaml is required')
+
+                    manifest = yaml.safe_load(zf.read(manifest_name).decode('utf-8')) or {}
+                    requirements: list[str] = []
+                    requirements_name = next(
+                        (name for name in names if name.replace('\\', '/').strip('/').lower() == 'requirements.txt'),
+                        None,
+                    )
+                    if requirements_name is not None:
+                        requirements = [
+                            line.strip()
+                            for line in zf.read(requirements_name).decode('utf-8', errors='ignore').splitlines()
+                            if line.strip() and not line.strip().startswith('#')
+                        ]
+
+                    spec = manifest.get('spec') or {}
+                    components = spec.get('components') or {}
+                    component_counts = self._count_plugin_components(components, names)
+                    component_types = list(component_counts.keys())
+
+                    return self.success(
+                        data={
+                            'filename': file.filename or 'local plugin',
+                            'size': len(file_bytes),
+                            'manifest': manifest,
+                            'metadata': manifest.get('metadata') or {},
+                            'component_types': component_types,
+                            'component_counts': component_counts,
+                            'requirements': requirements,
+                            'file_count': len(names),
+                        }
+                    )
+            except zipfile.BadZipFile:
+                return self.http_status(400, -1, 'invalid .lbpkg file')
+            except Exception as exc:
+                return self.http_status(500, -1, f'Failed to preview plugin package: {exc}')
+
         @self.route('/config-files', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
         async def _() -> str:
             """Upload a file for plugin configuration"""

src/langbot/pkg/api/http/controller/groups/resources/mcp.py

@@ -31,6 +31,9 @@ class MCPRouterGroup(group.RouterGroup):
         @self.route('/servers/<server_name>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN)
         async def _(server_name: str) -> str:
             """获取、更新或删除MCP服务器配置"""
+            from urllib.parse import unquote
+
+            server_name = unquote(server_name)
 
             server_data = await self.ap.mcp_service.get_mcp_server_by_name(server_name)
             if server_data is None:
@@ -57,6 +60,9 @@ class MCPRouterGroup(group.RouterGroup):
         @self.route('/servers/<server_name>/test', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
         async def _(server_name: str) -> str:
             """测试MCP服务器连接"""
+            from urllib.parse import unquote
+
+            server_name = unquote(server_name)
             server_data = await quart.request.json
             task_id = await self.ap.mcp_service.test_mcp_server(server_name=server_name, server_data=server_data)
             return self.success(data={'task_id': task_id})

src/langbot/pkg/api/http/controller/groups/skills.py

@@ -0,0 +1,190 @@
+from __future__ import annotations
+
+import quart
+
+from langbot_plugin.box.errors import BoxError
+
+from .. import group
+
+
+@group.group_class('skills', '/api/v1/skills')
+class SkillsRouterGroup(group.RouterGroup):
+    """Skills management API endpoints."""
+
+    async def initialize(self) -> None:
+        @self.route('', methods=['GET', 'POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def list_or_create_skills() -> quart.Response:
+            if quart.request.method == 'GET':
+                try:
+                    skills = await self.ap.skill_service.list_skills()
+                except (ValueError, BoxError) as exc:
+                    return self.http_status(400, -1, str(exc))
+                return self.success(data={'skills': skills})
+
+            data = await quart.request.json
+            if 'name' not in data or not data['name']:
+                return self.http_status(400, -1, 'Missing required field: name')
+
+            try:
+                skill = await self.ap.skill_service.create_skill(data)
+                return self.success(data={'skill': skill})
+            except (ValueError, BoxError) as exc:
+                return self.http_status(400, -1, str(exc))
+
+        @self.route('/<skill_name>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def get_update_delete_skill(skill_name: str) -> quart.Response:
+            if quart.request.method == 'GET':
+                try:
+                    skill = await self.ap.skill_service.get_skill(skill_name)
+                except (ValueError, BoxError) as exc:
+                    return self.http_status(400, -1, str(exc))
+                if not skill:
+                    return self.http_status(404, -1, 'Skill not found')
+                return self.success(data={'skill': skill})
+
+            if quart.request.method == 'PUT':
+                data = await quart.request.json
+                try:
+                    skill = await self.ap.skill_service.update_skill(skill_name, data)
+                    return self.success(data={'skill': skill})
+                except (ValueError, BoxError) as exc:
+                    return self.http_status(400, -1, str(exc))
+
+            try:
+                await self.ap.skill_service.delete_skill(skill_name)
+                return self.success()
+            except (ValueError, BoxError) as exc:
+                return self.http_status(400, -1, str(exc))
+
+        @self.route('/<skill_name>/files', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def list_skill_files(skill_name: str) -> quart.Response:
+            """List files in skill package directory."""
+            path = quart.request.args.get('path', '.').strip()
+            include_hidden = quart.request.args.get('include_hidden', 'false').lower() == 'true'
+
+            try:
+                result = await self.ap.skill_service.list_skill_files(
+                    skill_name,
+                    path=path,
+                    include_hidden=include_hidden,
+                )
+                return self.success(data=result)
+            except (ValueError, BoxError) as exc:
+                return self.http_status(400, -1, str(exc))
+
+        @self.route(
+            '/<skill_name>/files/<path:path>', methods=['GET', 'PUT'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY
+        )
+        async def read_or_write_skill_file(skill_name: str, path: str) -> quart.Response:
+            """Read or write a file in skill package."""
+            if quart.request.method == 'GET':
+                try:
+                    result = await self.ap.skill_service.read_skill_file(skill_name, path)
+                    return self.success(data=result)
+                except (ValueError, BoxError) as exc:
+                    return self.http_status(400, -1, str(exc))
+
+            # PUT - write file
+            data = await quart.request.json
+            content = data.get('content', '')
+            if content is None:
+                return self.http_status(400, -1, 'Missing required field: content')
+
+            try:
+                result = await self.ap.skill_service.write_skill_file(skill_name, path, content)
+                return self.success(data=result)
+            except (ValueError, BoxError) as exc:
+                return self.http_status(400, -1, str(exc))
+
+        @self.route('/<skill_name>/preview', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def preview_skill(skill_name: str) -> quart.Response:
+            skill = self.ap.skill_mgr.get_skill_by_name(skill_name)
+            if not skill:
+                return self.http_status(404, -1, 'Skill not found')
+            return self.success(data={'instructions': skill.get('instructions', '')})
+
+        @self.route('/install/github', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def install_skill_from_github() -> quart.Response:
+            data = await quart.request.json
+            required_fields = ['asset_url', 'owner', 'repo']
+            for field in required_fields:
+                if field not in data or not data[field]:
+                    return self.http_status(400, -1, f'Missing required field: {field}')
+            asset_url = str(data['asset_url']).strip().lower().split('?', 1)[0].split('#', 1)[0]
+            if not asset_url.endswith('skill.md') and not data.get('release_tag'):
+                return self.http_status(400, -1, 'Missing required field: release_tag')
+
+            try:
+                skill = await self.ap.skill_service.install_from_github(data)
+                return self.success(data={'skills': skill})
+            except (ValueError, BoxError) as exc:
+                return self.http_status(400, -1, str(exc))
+            except Exception as exc:
+                return self.http_status(500, -1, f'Failed to install skill: {exc}')
+
+        @self.route('/install/github/preview', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def preview_skill_from_github() -> quart.Response:
+            data = await quart.request.json
+            required_fields = ['asset_url', 'owner', 'repo']
+            for field in required_fields:
+                if field not in data or not data[field]:
+                    return self.http_status(400, -1, f'Missing required field: {field}')
+            asset_url = str(data['asset_url']).strip().lower().split('?', 1)[0].split('#', 1)[0]
+            if not asset_url.endswith('skill.md') and not data.get('release_tag'):
+                return self.http_status(400, -1, 'Missing required field: release_tag')
+
+            try:
+                preview = await self.ap.skill_service.preview_install_from_github(data)
+                return self.success(data={'skills': preview})
+            except (ValueError, BoxError) as exc:
+                return self.http_status(400, -1, str(exc))
+            except Exception as exc:
+                return self.http_status(500, -1, f'Failed to preview skill: {exc}')
+
+        @self.route('/install/upload', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def install_skill_from_upload() -> quart.Response:
+            file = (await quart.request.files).get('file')
+            if file is None:
+                return self.http_status(400, -1, 'file is required')
+            form = await quart.request.form
+
+            try:
+                skill = await self.ap.skill_service.install_from_zip_upload(
+                    file_bytes=file.read(),
+                    filename=file.filename or '',
+                    source_paths=form.getlist('source_paths'),
+                )
+                return self.success(data={'skills': skill})
+            except (ValueError, BoxError) as exc:
+                return self.http_status(400, -1, str(exc))
+            except Exception as exc:
+                return self.http_status(500, -1, f'Failed to install skill: {exc}')
+
+        @self.route('/install/upload/preview', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def preview_skill_from_upload() -> quart.Response:
+            file = (await quart.request.files).get('file')
+            if file is None:
+                return self.http_status(400, -1, 'file is required')
+
+            try:
+                preview = await self.ap.skill_service.preview_install_from_zip_upload(
+                    file_bytes=file.read(),
+                    filename=file.filename or '',
+                )
+                return self.success(data={'skills': preview})
+            except (ValueError, BoxError) as exc:
+                return self.http_status(400, -1, str(exc))
+            except Exception as exc:
+                return self.http_status(500, -1, f'Failed to preview skill: {exc}')
+
+        @self.route('/scan', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def scan_skill_directory() -> quart.Response:
+            path = quart.request.args.get('path', '').strip()
+            if not path:
+                return self.http_status(400, -1, 'Missing required parameter: path')
+
+            try:
+                result = await self.ap.skill_service.scan_directory_async(path)
+                return self.success(data=result)
+            except (ValueError, BoxError) as exc:
+                return self.http_status(400, -1, str(exc))

src/langbot/pkg/api/http/controller/groups/system.py

@@ -31,6 +31,18 @@ class SystemRouterGroup(group.RouterGroup):
             except Exception:
                 pass
 
+            # ``system.outbound_ips`` may be a comma-separated string instead of
+            # a list when injected via the SYSTEM__OUTBOUND_IPS env var into a
+            # pre-existing data/config.yaml that lacks the key (env overrides
+            # only coerce to list when the key already holds one).
+            outbound_ips = self.ap.instance_config.data.get('system', {}).get('outbound_ips', [])
+            if isinstance(outbound_ips, str):
+                outbound_ips = [ip.strip() for ip in outbound_ips.split(',') if ip.strip()]
+            elif isinstance(outbound_ips, list):
+                outbound_ips = [str(ip).strip() for ip in outbound_ips if str(ip).strip()]
+            else:
+                outbound_ips = []
+
             return self.success(
                 data={
                     'version': constants.semantic_version,
@@ -49,6 +61,7 @@ class SystemRouterGroup(group.RouterGroup):
                         'disable_models_service', False
                     ),
                     'limitation': self.ap.instance_config.data.get('system', {}).get('limitation', {}),
+                    'outbound_ips': outbound_ips,
                     'wizard_status': wizard_status,
                     'wizard_progress': wizard_progress,
                 }
@@ -140,17 +153,6 @@ class SystemRouterGroup(group.RouterGroup):
         async def _() -> str:
             return self.success(data=await self.ap.maintenance_service.get_storage_analysis())
 
-        @self.route('/debug/exec', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
-        async def _() -> str:
-            if not constants.debug_mode:
-                return self.http_status(403, 403, 'Forbidden')
-
-            py_code = await quart.request.data
-
-            ap = self.ap
-
-            return self.success(data=exec(py_code, {'ap': ap}))
-
         @self.route(
             '/debug/plugin/action',
             methods=['POST'],

src/langbot/pkg/api/http/controller/groups/user.py

@@ -146,6 +146,7 @@ class UserRouterGroup(group.RouterGroup):
                 return self.fail(3, str(e))
             except ValueError as e:
                 traceback.print_exc()
+                self.ap.logger.warning(f'Space OAuth callback failed: {e}')
                 return self.fail(1, str(e))
             except Exception as e:
                 traceback.print_exc()

src/langbot/pkg/api/http/service/apikey.py

@@ -52,6 +52,9 @@ class ApiKeyService:
 
     async def verify_api_key(self, key: str) -> bool:
         """Verify if an API key is valid"""
+        if not isinstance(key, str) or not key.startswith('lbk_'):
+            return False
+
         result = await self.ap.persistence_mgr.execute_async(
             sqlalchemy.select(apikey.ApiKey).where(apikey.ApiKey.key == key)
         )

src/langbot/pkg/api/http/service/bot.py

@@ -111,11 +111,11 @@ class BotService:
         # TODO: 检查配置信息格式
         bot_data['uuid'] = str(uuid.uuid4())
 
-        # checkout the default pipeline
+        # bind the most recently updated pipeline if any exist
         result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
-                persistence_pipeline.LegacyPipeline.is_default == True
-            )
+            sqlalchemy.select(persistence_pipeline.LegacyPipeline)
+            .order_by(persistence_pipeline.LegacyPipeline.updated_at.desc())
+            .limit(1)
         )
         pipeline = result.first()
         if pipeline is not None:
@@ -132,24 +132,26 @@ class BotService:
 
     async def update_bot(self, bot_uuid: str, bot_data: dict) -> None:
         """Update bot"""
-        if 'uuid' in bot_data:
-            del bot_data['uuid']
+        update_data = bot_data.copy()
+
+        if 'uuid' in update_data:
+            del update_data['uuid']
 
         # set use_pipeline_name
-        if 'use_pipeline_uuid' in bot_data:
+        if 'use_pipeline_uuid' in update_data:
             result = await self.ap.persistence_mgr.execute_async(
                 sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
-                    persistence_pipeline.LegacyPipeline.uuid == bot_data['use_pipeline_uuid']
+                    persistence_pipeline.LegacyPipeline.uuid == update_data['use_pipeline_uuid']
                 )
             )
             pipeline = result.first()
             if pipeline is not None:
-                bot_data['use_pipeline_name'] = pipeline.name
+                update_data['use_pipeline_name'] = pipeline.name
             else:
                 raise Exception('Pipeline not found')
 
         await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.update(persistence_bot.Bot).values(bot_data).where(persistence_bot.Bot.uuid == bot_uuid)
+            sqlalchemy.update(persistence_bot.Bot).values(update_data).where(persistence_bot.Bot.uuid == bot_uuid)
         )
         await self.ap.platform_mgr.remove_bot(bot_uuid)
 

src/langbot/pkg/api/http/service/knowledge.py

@@ -31,15 +31,126 @@ class KnowledgeService:
         if not knowledge_engine_plugin_id:
             raise ValueError('knowledge_engine_plugin_id is required')
 
+        creation_settings = kb_data.get('creation_settings', {})
+        retrieval_settings = kb_data.get('retrieval_settings', {})
+
+        # Validate required fields based on plugin's creation_schema and retrieval_schema
+        await self._validate_schema_required_fields(
+            knowledge_engine_plugin_id,
+            creation_settings,
+            retrieval_settings,
+        )
+
         kb = await self.ap.rag_mgr.create_knowledge_base(
             name=kb_data.get('name', 'Untitled'),
             knowledge_engine_plugin_id=knowledge_engine_plugin_id,
-            creation_settings=kb_data.get('creation_settings', {}),
-            retrieval_settings=kb_data.get('retrieval_settings', {}),
+            creation_settings=creation_settings,
+            retrieval_settings=retrieval_settings,
             description=kb_data.get('description', ''),
         )
         return kb.uuid
 
+    async def _validate_schema_required_fields(
+        self,
+        plugin_id: str,
+        creation_settings: dict,
+        retrieval_settings: dict,
+    ) -> None:
+        """Validate required fields based on plugin's creation_schema and retrieval_schema.
+
+        This is a business-agnostic validation that checks all fields marked as
+        required in the plugin's schema, regardless of field type.
+
+        Args:
+            plugin_id: Knowledge Engine plugin ID.
+            creation_settings: User-provided creation settings.
+            retrieval_settings: User-provided retrieval settings.
+
+        Raises:
+            ValueError: If any required field is missing or empty.
+        """
+        # Validate creation_schema
+        try:
+            creation_schema = await self.ap.plugin_connector.get_rag_creation_schema(plugin_id)
+            self._check_required_fields(creation_schema, creation_settings, 'creation_settings')
+        except ValueError:
+            raise
+        except Exception as e:
+            self.ap.logger.warning(f'Failed to get creation_schema for validation: {e}')
+
+        # Validate retrieval_schema
+        try:
+            retrieval_schema = await self.ap.plugin_connector.get_rag_retrieval_schema(plugin_id)
+            self._check_required_fields(retrieval_schema, retrieval_settings, 'retrieval_settings')
+        except ValueError:
+            raise
+        except Exception as e:
+            self.ap.logger.warning(f'Failed to get retrieval_schema for validation: {e}')
+
+    def _check_required_fields(
+        self,
+        schema: dict | list,
+        settings: dict,
+        context: str,
+    ) -> None:
+        """Check required fields in schema against provided settings.
+
+        Args:
+            schema: Plugin-defined schema (can be list or dict with 'schema' key).
+            settings: User-provided settings values.
+            context: Context name for error messages (e.g., 'creation_settings').
+
+        Raises:
+            ValueError: If a required field is missing or empty.
+        """
+        if not schema:
+            return
+
+        # schema can be a list directly, or a dict with 'schema' key
+        items = schema if isinstance(schema, list) else schema.get('schema', [])
+        if not items:
+            return
+
+        for item in items:
+            field_name = item.get('name')
+            if not field_name:
+                continue
+
+            is_required = item.get('required', False)
+            if not is_required:
+                continue
+
+            # Check show_if condition - if field is conditionally shown, only validate when condition is met
+            show_if = item.get('show_if')
+            if show_if:
+                depend_field = show_if.get('field')
+                operator = show_if.get('operator')
+                expected_value = show_if.get('value')
+
+                if depend_field and operator:
+                    depend_value = settings.get(depend_field)
+                    # If show_if condition is not met, skip validation for this field
+                    if operator == 'eq' and depend_value != expected_value:
+                        continue
+                    if operator == 'neq' and depend_value == expected_value:
+                        continue
+                    if operator == 'in' and isinstance(expected_value, list) and depend_value not in expected_value:
+                        continue
+
+            value = settings.get(field_name)
+
+            # Validate required field has a non-empty value
+            if value is None or (isinstance(value, str) and value.strip() == ''):
+                # Get field label for friendly error message
+                label = item.get('label', {})
+                field_label = (
+                    label.get('en_US', field_name)
+                    or label.get('zh_Hans', field_name)
+                    or label.get('zh_Hant', field_name)
+                    or field_name
+                )
+                raise ValueError(f'{field_label} is required ({context}.{field_name})')
+
     async def update_knowledge_base(self, kb_uuid: str, kb_data: dict) -> None:
         """更新知识库"""
         # Filter to only mutable fields

src/langbot/pkg/api/http/service/mcp.py

@@ -152,7 +152,24 @@ class MCPService:
                 coroutine = runtime_mcp_session.refresh()
         else:
             runtime_mcp_session = await self.ap.tool_mgr.mcp_tool_loader.load_mcp_server(server_config=server_data)
-            coroutine = runtime_mcp_session.start()
+
+            # A transient test owns an isolated Box session. Always tear it down
+            # after the test completes (success or failure) so it does not leak.
+            test_session = runtime_mcp_session
+
+            async def _run_and_cleanup() -> None:
+                try:
+                    await test_session.start()
+                finally:
+                    try:
+                        await test_session.shutdown()
+                    except Exception as exc:
+                        self.ap.logger.warning(
+                            f'Failed to tear down transient MCP test session '
+                            f'{test_session.server_name}: {type(exc).__name__}: {exc}'
+                        )
+
+            coroutine = _run_and_cleanup()
 
         ctx = taskmgr.TaskContext.new()
         wrapper = self.ap.task_mgr.create_user_task(

src/langbot/pkg/api/http/service/pipeline.py

@@ -113,14 +113,9 @@ class PipelineService:
         return pipeline_data['uuid']
 
     async def update_pipeline(self, pipeline_uuid: str, pipeline_data: dict) -> None:
-        if 'uuid' in pipeline_data:
-            del pipeline_data['uuid']
-        if 'for_version' in pipeline_data:
-            del pipeline_data['for_version']
-        if 'stages' in pipeline_data:
-            del pipeline_data['stages']
-        if 'is_default' in pipeline_data:
-            del pipeline_data['is_default']
+        pipeline_data = pipeline_data.copy()
+        for protected_field in ('uuid', 'for_version', 'stages', 'is_default'):
+            pipeline_data.pop(protected_field, None)
 
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.update(persistence_pipeline.LegacyPipeline)
@@ -220,6 +215,8 @@ class PipelineService:
         bound_mcp_servers: list[str] = None,
         enable_all_plugins: bool = True,
         enable_all_mcp_servers: bool = True,
+        bound_skills: list[str] = None,
+        enable_all_skills: bool = True,
     ) -> None:
         """Update the bound plugins and MCP servers for a pipeline"""
         # Get current pipeline
@@ -237,9 +234,12 @@ class PipelineService:
         extensions_preferences = pipeline.extensions_preferences or {}
         extensions_preferences['enable_all_plugins'] = enable_all_plugins
         extensions_preferences['enable_all_mcp_servers'] = enable_all_mcp_servers
+        extensions_preferences['enable_all_skills'] = enable_all_skills
         extensions_preferences['plugins'] = bound_plugins
         if bound_mcp_servers is not None:
             extensions_preferences['mcp_servers'] = bound_mcp_servers
+        if bound_skills is not None:
+            extensions_preferences['skills'] = bound_skills
 
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.update(persistence_pipeline.LegacyPipeline)

src/langbot/pkg/api/http/service/provider.py

@@ -17,6 +17,24 @@ class ModelProviderService:
     def __init__(self, ap: app.Application) -> None:
         self.ap = ap
 
+    @staticmethod
+    def _normalize_api_keys(api_keys: str | list[str] | tuple[str, ...] | None) -> list[str]:
+        if api_keys is None:
+            return []
+
+        raw_keys = [api_keys] if isinstance(api_keys, str) else list(api_keys)
+        normalized_keys = []
+        seen_keys = set()
+
+        for raw_key in raw_keys:
+            normalized_key = raw_key.strip() if isinstance(raw_key, str) else ''
+            if not normalized_key or normalized_key in seen_keys:
+                continue
+            normalized_keys.append(normalized_key)
+            seen_keys.add(normalized_key)
+
+        return normalized_keys
+
     async def get_providers(self) -> list[dict]:
         """Get all providers"""
         result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.ModelProvider))
@@ -59,6 +77,7 @@ class ModelProviderService:
     async def create_provider(self, provider_data: dict) -> str:
         """Create a new provider"""
         provider_data['uuid'] = str(uuid.uuid4())
+        provider_data['api_keys'] = self._normalize_api_keys(provider_data.get('api_keys'))
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.insert(persistence_model.ModelProvider).values(**provider_data)
         )
@@ -72,6 +91,8 @@ class ModelProviderService:
         """Update an existing provider"""
         if 'uuid' in provider_data:
             del provider_data['uuid']
+        if 'api_keys' in provider_data:
+            provider_data['api_keys'] = self._normalize_api_keys(provider_data.get('api_keys'))
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.update(persistence_model.ModelProvider)
             .where(persistence_model.ModelProvider.uuid == provider_uuid)
@@ -141,6 +162,8 @@ class ModelProviderService:
 
     async def find_or_create_provider(self, requester: str, base_url: str, api_keys: list) -> str:
         """Find existing provider or create new one"""
+        api_keys = self._normalize_api_keys(api_keys)
+
         # Try to find existing provider with same config
         result = await self.ap.persistence_mgr.execute_async(
             sqlalchemy.select(persistence_model.ModelProvider).where(
@@ -168,7 +191,7 @@ class ModelProviderService:
                 'name': provider_name,
                 'requester': requester,
                 'base_url': base_url,
-                'api_keys': api_keys or [],
+                'api_keys': api_keys,
             }
         )
 
@@ -177,7 +200,7 @@ class ModelProviderService:
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.update(persistence_model.ModelProvider)
             .where(persistence_model.ModelProvider.uuid == '00000000-0000-0000-0000-000000000000')
-            .values(api_keys=[api_key])
+            .values(api_keys=self._normalize_api_keys(api_key))
         )
         await self.ap.model_mgr.reload_provider('00000000-0000-0000-0000-000000000000')
 

src/langbot/pkg/api/http/service/skill.py

@@ -0,0 +1,428 @@
+from __future__ import annotations
+
+import io
+import inspect
+import os
+import posixpath
+import zipfile
+from typing import Optional
+from urllib.parse import quote, unquote, urlparse
+
+import httpx
+
+from ....core import app
+from ....skill.utils import parse_frontmatter
+
+
+_PUBLIC_SKILL_FIELDS = (
+    'name',
+    'display_name',
+    'description',
+    'instructions',
+    'package_root',
+    'created_at',
+    'updated_at',
+)
+
+_GITHUB_ASSET_HOSTS = {
+    'github.com',
+    'api.github.com',
+    'objects.githubusercontent.com',
+    'githubusercontent.com',
+    'raw.githubusercontent.com',
+    'codeload.github.com',
+}
+
+
+class SkillService:
+    """Filesystem-backed skill management service."""
+
+    ap: app.Application
+
+    def __init__(self, ap: app.Application) -> None:
+        self.ap = ap
+
+    def _box_service(self):
+        box_service = getattr(self.ap, 'box_service', None)
+        if box_service is not None and getattr(box_service, 'available', False):
+            return box_service
+        return None
+
+    def _require_box(self, action: str):
+        """Return the Box service or raise if it is not available.
+
+        Box is the only source of truth for skills. Every read and write
+        operation goes through it — there is no local-filesystem fallback.
+        """
+        box_service = self._box_service()
+        if box_service is not None:
+            return box_service
+        ap_box = getattr(self.ap, 'box_service', None)
+        if ap_box is None:
+            reason = 'not initialised'
+        elif not getattr(ap_box, 'enabled', True):
+            reason = 'disabled in config (box.enabled = false)'
+        else:
+            connector_error = getattr(ap_box, '_connector_error', '') or 'currently unavailable'
+            reason = f'unavailable: {connector_error}'
+        raise ValueError(
+            f'{action} requires the Box runtime, which is {reason}. '
+            f'Enable Box in config.yaml (box.enabled = true) and ensure the '
+            f'runtime is reachable before retrying.'
+        )
+
+    def _require_box_for_write(self, action: str) -> None:
+        """Backwards-compatible alias preserved for clarity at call sites."""
+        self._require_box(action)
+
+    @staticmethod
+    def _serialize_skill(skill: dict) -> dict:
+        return {field: skill.get(field) for field in _PUBLIC_SKILL_FIELDS if field in skill}
+
+    async def list_skills(self) -> list[dict]:
+        # When Box is unavailable, surface an empty list rather than raising —
+        # the skills page should render cleanly, and the UI separately renders
+        # a "Box disabled / unavailable" banner via useBoxStatus.
+        box_service = self._box_service()
+        if box_service is None:
+            return []
+        return [self._serialize_skill(skill) for skill in await box_service.list_skills()]
+
+    async def get_skill(self, skill_name: str) -> Optional[dict]:
+        box_service = self._box_service()
+        if box_service is None:
+            return None
+        skill = await box_service.get_skill(skill_name)
+        return self._serialize_skill(skill) if skill else None
+
+    async def get_skill_by_name(self, name: str) -> Optional[dict]:
+        return await self.get_skill(name)
+
+    async def create_skill(self, data: dict) -> dict:
+        box_service = self._require_box('Creating a skill')
+        created = await box_service.create_skill(data)
+        await self._reload_skills()
+        return self._serialize_skill(created)
+
+    async def update_skill(self, skill_name: str, data: dict) -> dict:
+        box_service = self._require_box('Editing a skill')
+        updated = await box_service.update_skill(skill_name, data)
+        await self._reload_skills()
+        return self._serialize_skill(updated)
+
+    async def delete_skill(self, skill_name: str) -> bool:
+        box_service = self._require_box('Deleting a skill')
+        await box_service.delete_skill(skill_name)
+        await self._reload_skills()
+        return True
+
+    async def list_skill_files(
+        self,
+        skill_name: str,
+        path: str = '.',
+        include_hidden: bool = False,
+        max_entries: int = 200,
+    ) -> dict:
+        box_service = self._require_box('Browsing skill files')
+        return await box_service.list_skill_files(skill_name, path, include_hidden, max_entries)
+
+    async def read_skill_file(self, skill_name: str, path: str) -> dict:
+        box_service = self._require_box('Reading a skill file')
+        return await box_service.read_skill_file(skill_name, path)
+
+    async def write_skill_file(self, skill_name: str, path: str, content: str) -> dict:
+        box_service = self._require_box('Editing skill files')
+        result = await box_service.write_skill_file(skill_name, path, content)
+        await self._reload_skills()
+        return result
+
+    async def install_from_github(self, data: dict) -> list[dict]:
+        box_service = self._require_box('Installing a skill from GitHub')
+        owner = str(data['owner']).strip()
+        repo = str(data['repo']).strip()
+        release_tag = str(data.get('release_tag', '')).strip()
+        raw_asset_url = str(data['asset_url']).strip()
+        if self._is_github_skill_md_url(raw_asset_url):
+            return await self._install_github_skill_md(raw_asset_url, owner=owner, repo=repo, data=data)
+
+        asset_url = self._validate_github_asset_url(raw_asset_url, owner=owner, repo=repo, release_tag=release_tag)
+        source_subdir = str(data.get('source_subdir', '') or '').strip()
+
+        zip_bytes = await self._download_github_asset(asset_url)
+        filename = f'{repo}-{release_tag.lstrip("v").replace("/", "-") or "source"}.zip'
+        installed = await box_service.install_skill_zip(
+            zip_bytes,
+            filename,
+            source_paths=data.get('source_paths') or [],
+            source_path=str(data.get('source_path', '') or ''),
+            source_subdir=source_subdir,
+        )
+        await self._reload_skills()
+        return [self._serialize_skill(skill) for skill in installed]
+
+    async def preview_install_from_github(self, data: dict) -> list[dict]:
+        box_service = self._require_box('Previewing a skill from GitHub')
+        owner = str(data['owner']).strip()
+        repo = str(data['repo']).strip()
+        release_tag = str(data.get('release_tag', '')).strip()
+        raw_asset_url = str(data['asset_url']).strip()
+        if self._is_github_skill_md_url(raw_asset_url):
+            return await self._preview_github_skill_md(raw_asset_url, owner=owner, repo=repo)
+
+        asset_url = self._validate_github_asset_url(raw_asset_url, owner=owner, repo=repo, release_tag=release_tag)
+        source_subdir = str(data.get('source_subdir', '') or '').strip()
+
+        zip_bytes = await self._download_github_asset(asset_url)
+        return await box_service.preview_skill_zip(
+            zip_bytes,
+            f'{repo}-{release_tag.lstrip("v").replace("/", "-") or "source"}.zip',
+            source_subdir=source_subdir,
+        )
+
+    async def install_from_zip_upload(
+        self,
+        *,
+        file_bytes: bytes,
+        filename: str,
+        source_paths: list[str] | None = None,
+        source_path: str = '',
+    ) -> list[dict]:
+        box_service = self._require_box('Installing a skill from upload')
+        installed = await box_service.install_skill_zip(
+            file_bytes,
+            filename,
+            source_paths=source_paths or [],
+            source_path=source_path,
+        )
+        await self._reload_skills()
+        return [self._serialize_skill(skill) for skill in installed]
+
+    async def preview_install_from_zip_upload(self, *, file_bytes: bytes, filename: str) -> list[dict]:
+        box_service = self._require_box('Previewing a skill upload')
+        return await box_service.preview_skill_zip(file_bytes, filename)
+
+    async def _install_github_skill_md(self, asset_url: str, *, owner: str, repo: str, data: dict) -> list[dict]:
+        box_service = self._require_box('Installing a skill from GitHub')
+        zip_bytes, filename, _package_name = await self._download_github_skill_directory_as_zip(
+            asset_url,
+            owner=owner,
+            repo=repo,
+        )
+
+        installed = await box_service.install_skill_zip(
+            zip_bytes,
+            filename,
+            source_paths=data.get('source_paths') or [],
+            source_path=str(data.get('source_path', '') or ''),
+            target_suffix='',
+        )
+        await self._reload_skills()
+        return [self._serialize_skill(skill) for skill in installed]
+
+    async def _preview_github_skill_md(self, asset_url: str, *, owner: str, repo: str) -> list[dict]:
+        box_service = self._require_box('Previewing a skill from GitHub')
+        zip_bytes, _filename, package_name = await self._download_github_skill_directory_as_zip(
+            asset_url,
+            owner=owner,
+            repo=repo,
+        )
+        return await box_service.preview_skill_zip(zip_bytes, f'{package_name}.zip', target_suffix='')
+
+    async def reload_skills(self) -> list[dict]:
+        await self._reload_skills()
+        return await self.list_skills()
+
+    async def scan_directory_async(self, path: str) -> dict:
+        box_service = self._require_box('Scanning a skill directory')
+        return await box_service.scan_skill_directory(path)
+
+    async def _reload_skills(self) -> None:
+        skill_mgr = getattr(self.ap, 'skill_mgr', None)
+        reload_skills = getattr(skill_mgr, 'reload_skills', None)
+        if not callable(reload_skills):
+            return
+        result = reload_skills()
+        if inspect.isawaitable(result):
+            await result
+
+    async def _download_github_asset(self, asset_url: str) -> bytes:
+        async with httpx.AsyncClient(follow_redirects=True, timeout=120) as client:
+            resp = await client.get(asset_url)
+            resp.raise_for_status()
+            return resp.content
+
+    async def _download_github_skill_directory_as_zip(
+        self, asset_url: str, *, owner: str, repo: str
+    ) -> tuple[bytes, str, str]:
+        info = self._parse_github_skill_md_url(asset_url, owner=owner, repo=repo)
+        archive_url = f'https://codeload.github.com/{owner}/{repo}/zip/{quote(info["ref"], safe="/")}'
+        archive_bytes = await self._download_github_asset(archive_url)
+
+        try:
+            source_archive = zipfile.ZipFile(io.BytesIO(archive_bytes), 'r')
+        except zipfile.BadZipFile as exc:
+            raise ValueError('GitHub repository archive must be a valid .zip archive') from exc
+
+        with source_archive as source_zip:
+            skill_entry = self._find_github_skill_archive_entry(source_zip, info['file_path'])
+            try:
+                skill_md_content = source_zip.read(skill_entry).decode('utf-8')
+            except UnicodeDecodeError as exc:
+                raise ValueError('GitHub SKILL.md must be valid UTF-8 text') from exc
+
+            package_name = self._resolve_github_skill_md_package_name(skill_md_content, info['package_name'])
+            source_skill_dir = posixpath.dirname(posixpath.normpath(skill_entry.filename))
+
+            buffer = io.BytesIO()
+            with zipfile.ZipFile(buffer, 'w', zipfile.ZIP_DEFLATED) as target_zip:
+                self._copy_github_skill_directory_to_zip(source_zip, target_zip, source_skill_dir, package_name)
+        return buffer.getvalue(), f'{package_name}.zip', package_name
+
+    def _find_github_skill_archive_entry(self, archive: zipfile.ZipFile, file_path: str) -> zipfile.ZipInfo:
+        normalized_file_path = posixpath.normpath(file_path).lower()
+        for member in archive.infolist():
+            if member.is_dir():
+                continue
+            normalized_member = posixpath.normpath(member.filename)
+            path_parts = normalized_member.split('/', 1)
+            if len(path_parts) != 2:
+                continue
+            archive_relative_path = path_parts[1].lower()
+            if archive_relative_path == normalized_file_path:
+                return member
+        raise ValueError(f'GitHub archive does not contain requested SKILL.md: {file_path}')
+
+    def _copy_github_skill_directory_to_zip(
+        self,
+        source_zip: zipfile.ZipFile,
+        target_zip: zipfile.ZipFile,
+        source_skill_dir: str,
+        package_name: str,
+    ) -> None:
+        normalized_source_dir = posixpath.normpath(source_skill_dir)
+        source_prefix = f'{normalized_source_dir}/'
+        copied_files = 0
+
+        for member in source_zip.infolist():
+            normalized_member = posixpath.normpath(member.filename)
+            if normalized_member != normalized_source_dir and not normalized_member.startswith(source_prefix):
+                continue
+
+            relative_path = posixpath.relpath(normalized_member, normalized_source_dir)
+            if relative_path in ('', '.'):
+                continue
+            if relative_path.startswith('../') or relative_path == '..' or posixpath.isabs(relative_path):
+                raise ValueError(f'GitHub archive contains an unsafe skill path: {member.filename}')
+
+            target_name = f'{package_name}/{relative_path}'
+            if member.is_dir() and not target_name.endswith('/'):
+                target_name = f'{target_name}/'
+            target_info = zipfile.ZipInfo(target_name, date_time=member.date_time)
+            target_info.external_attr = member.external_attr
+            target_info.compress_type = zipfile.ZIP_DEFLATED
+
+            if member.is_dir():
+                target_zip.writestr(target_info, b'')
+                continue
+
+            target_zip.writestr(target_info, source_zip.read(member))
+            copied_files += 1
+
+        if copied_files == 0:
+            raise ValueError('GitHub skill directory is empty')
+
+    def _uploaded_skill_target_stem(self, filename: str) -> str:
+        stem = os.path.splitext(os.path.basename(str(filename or '').strip()))[0]
+        safe_stem = ''.join(ch if ch.isalnum() or ch in ('-', '_') else '-' for ch in stem).strip('-_')
+        if not safe_stem:
+            safe_stem = 'uploaded-skill'
+        return safe_stem
+
+    @staticmethod
+    def _is_github_skill_md_url(asset_url: str) -> bool:
+        parsed = urlparse(str(asset_url or '').strip())
+        normalized_path = posixpath.normpath(parsed.path or '/')
+        return normalized_path.lower().endswith('/skill.md')
+
+    def _parse_github_skill_md_url(self, asset_url: str, *, owner: str, repo: str) -> dict:
+        parsed = urlparse(str(asset_url or '').strip())
+        if parsed.scheme != 'https' or not parsed.netloc:
+            raise ValueError('asset_url must be a valid HTTPS GitHub SKILL.md URL')
+
+        host = parsed.netloc.lower()
+        path_parts = [unquote(part) for part in (parsed.path or '').split('/') if part]
+        if host == 'github.com':
+            if (
+                len(path_parts) < 5
+                or path_parts[0] != owner
+                or path_parts[1] != repo
+                or path_parts[2]
+                not in (
+                    'blob',
+                    'raw',
+                )
+            ):
+                raise ValueError('GitHub SKILL.md URL must point to the requested owner/repo blob path')
+            ref = path_parts[3]
+            file_path = '/'.join(path_parts[4:])
+        elif host == 'raw.githubusercontent.com':
+            if len(path_parts) < 4 or path_parts[0] != owner or path_parts[1] != repo:
+                raise ValueError('GitHub SKILL.md URL must point to the requested owner/repo raw path')
+            ref = path_parts[2]
+            file_path = '/'.join(path_parts[3:])
+        else:
+            raise ValueError('asset_url must point to a GitHub SKILL.md file')
+
+        normalized_file_path = posixpath.normpath(file_path)
+        normalized_file_path_lower = normalized_file_path.lower()
+        if normalized_file_path_lower != 'skill.md' and not normalized_file_path_lower.endswith('/skill.md'):
+            raise ValueError('GitHub skill import requires a URL ending with SKILL.md')
+
+        parent_dir = posixpath.basename(posixpath.dirname(normalized_file_path)) or repo
+        return {
+            'ref': ref,
+            'file_path': normalized_file_path,
+            'package_name': self._uploaded_skill_target_stem(parent_dir),
+        }
+
+    def _resolve_github_skill_md_package_name(self, content: str, fallback: str) -> str:
+        metadata, _instructions = parse_frontmatter(content)
+        candidate = str(metadata.get('name') or fallback or '').strip()
+        try:
+            return self._validate_skill_name(candidate)
+        except ValueError:
+            return self._validate_skill_name(fallback)
+
+    @staticmethod
+    def _validate_github_asset_url(asset_url: str, *, owner: str, repo: str, release_tag: str) -> str:
+        parsed = urlparse(str(asset_url).strip())
+        if parsed.scheme != 'https' or not parsed.netloc:
+            raise ValueError('asset_url must be a valid HTTPS GitHub asset URL')
+
+        host = parsed.netloc.lower()
+        if host not in _GITHUB_ASSET_HOSTS:
+            raise ValueError('asset_url must point to a GitHub-hosted release asset or archive')
+
+        normalized_path = posixpath.normpath(parsed.path or '/')
+        allowed_prefixes = [
+            f'/repos/{owner}/{repo}/',
+            f'/{owner}/{repo}/',
+        ]
+        if not any(normalized_path.startswith(prefix) for prefix in allowed_prefixes):
+            raise ValueError('asset_url does not match the requested owner/repo')
+
+        if release_tag and release_tag not in parsed.path and release_tag not in parsed.query:
+            raise ValueError('asset_url does not match the requested release_tag')
+
+        return parsed.geturl()
+
+    @staticmethod
+    def _validate_skill_name(name: str) -> str:
+        name = str(name or '').strip()
+        if not name:
+            raise ValueError('Skill name is required')
+        if not name.replace('-', '').replace('_', '').isalnum():
+            raise ValueError('Skill name can only contain letters, numbers, hyphens and underscores')
+        if len(name) > 64:
+            raise ValueError('Skill name cannot exceed 64 characters')
+        return name

src/langbot/pkg/box/__init__.py

@@ -0,0 +1,5 @@
+"""LangBot Box runtime package."""
+
+from .workspace import BoxWorkspaceSession
+
+__all__ = ['BoxWorkspaceSession']

src/langbot/pkg/box/connector.py

@@ -0,0 +1,364 @@
+from __future__ import annotations
+
+import asyncio
+import json
+import os
+import sys
+import typing
+from typing import TYPE_CHECKING
+from urllib.parse import urlparse
+
+from langbot_plugin.entities.io.actions.enums import CommonAction
+from langbot_plugin.runtime.io.handler import Handler
+from langbot_plugin.runtime.io.connection import Connection
+
+from langbot_plugin.box.client import ActionRPCBoxClient
+from langbot_plugin.box.errors import BoxRuntimeUnavailableError
+from langbot_plugin.box.actions import LangBotToBoxAction
+
+from ..utils import platform
+from ..utils.managed_runtime import ManagedRuntimeConnector
+
+if TYPE_CHECKING:
+    from ..core import app as core_app
+
+
+# Default Docker Compose service name for the standalone Box container.
+_DOCKER_BOX_HOST = 'langbot_box'
+_DEFAULT_PORT = 5410
+
+_HEARTBEAT_INTERVAL_SEC = 20
+
+# Top-level keys under ``box`` that are LangBot-internal and should not be
+# forwarded to the Box runtime.
+_INTERNAL_BOX_CONFIG_KEYS = frozenset({'runtime'})
+
+
+def _get_box_config(ap) -> dict:
+    """Return the 'box' section from instance config.
+
+    Environment-variable overrides are handled uniformly by
+    ``LoadConfigStage._apply_env_overrides_to_config`` using the
+    ``SECTION__SUBSECTION__KEY`` convention (e.g. ``BOX__LOCAL__HOST_ROOT``,
+    ``BOX__LOCAL__ALLOWED_MOUNT_ROOTS="/a,/b"``) before this is read, so no
+    box-specific env parsing is needed here.
+    """
+    instance_config = getattr(ap, 'instance_config', None)
+    config_data = getattr(instance_config, 'data', {}) if instance_config is not None else {}
+    return dict(config_data.get('box', {}) or {})
+
+
+def _get_runtime_endpoint(box_cfg: dict) -> str:
+    runtime_cfg = box_cfg.get('runtime') or {}
+    return str(runtime_cfg.get('endpoint', '')).strip()
+
+
+def _filter_config_for_runtime(box_cfg: dict) -> dict:
+    return {k: v for k, v in box_cfg.items() if k not in _INTERNAL_BOX_CONFIG_KEYS}
+
+
+def resolve_box_ws_relay_url(ap: core_app.Application) -> str:
+    """Derive the WS relay base URL used for managed-process attach.
+
+    The WS relay serves the ``/v1/sessions/{id}/managed-process/ws`` endpoint
+    on the *relay* port (default 5410).
+    """
+    box_cfg = _get_box_config(ap)
+
+    # Explicit runtime endpoint takes precedence. The config value is a base
+    # URL; endpoint-specific paths are appended by the SDK client.
+    endpoint = _get_runtime_endpoint(box_cfg)
+    if endpoint:
+        parsed = urlparse(endpoint)
+        scheme = parsed.scheme or 'ws'
+        if scheme == 'ws':
+            scheme = 'http'
+        elif scheme == 'wss':
+            scheme = 'https'
+        host = parsed.hostname or '127.0.0.1'
+        port = parsed.port or _DEFAULT_PORT
+        return f'{scheme}://{host}:{port}'
+
+    # In Docker, relay lives on the box runtime container.
+    if platform.get_platform() == 'docker':
+        return f'http://{_DOCKER_BOX_HOST}:{_DEFAULT_PORT}'
+
+    return f'http://127.0.0.1:{_DEFAULT_PORT}'
+
+
+class BoxRuntimeConnector(ManagedRuntimeConnector):
+    """Connect to the Box runtime via action RPC.
+
+    Transport decision (mirrors Plugin runtime logic):
+      1. Docker / --standalone-box / explicit runtime.endpoint -> WebSocket to external Box process
+      2. Windows (non-Docker)                              -> subprocess + WebSocket (Windows lacks async stdio pipe)
+      3. Unix / macOS                                      -> subprocess + stdio pipe
+    """
+
+    def __init__(
+        self,
+        ap: core_app.Application,
+        runtime_disconnect_callback: typing.Callable[
+            ['BoxRuntimeConnector'], typing.Coroutine[typing.Any, typing.Any, None]
+        ]
+        | None = None,
+    ):
+        super().__init__(ap)
+        self.runtime_disconnect_callback = runtime_disconnect_callback
+        self.configured_runtime_endpoint = self._load_configured_runtime_endpoint()
+        self.ws_relay_base_url = resolve_box_ws_relay_url(ap)
+        self.client = ActionRPCBoxClient(logger=ap.logger)
+
+        self._handler: Handler | None = None
+        self._handler_task: asyncio.Task | None = None
+        self._ctrl_task: asyncio.Task | None = None
+        self._heartbeat_task: asyncio.Task | None = None
+
+        # Parse the relay URL once for reuse.
+        parsed = urlparse(self.ws_relay_base_url)
+        self._relay_host = parsed.hostname or '127.0.0.1'
+        self._relay_port = parsed.port or _DEFAULT_PORT
+        self._filtered_box_config = _filter_config_for_runtime(_get_box_config(ap))
+
+    def uses_websocket(self) -> bool:
+        """Whether the connector should use WebSocket to reach the Box runtime.
+
+        True when:
+          - Running inside Docker (Box runtime is a separate container)
+          - The ``--standalone-box`` CLI flag was passed
+          - An explicit ``runtime.endpoint`` was configured
+
+        When this is True the Box runtime lives in a separate process with its
+        own filesystem view (container, pod sidecar, or remote host), so paths
+        it reports (e.g. skill ``package_root``) are NOT resolvable on the
+        LangBot side. When False, Box runs as a stdio child process that shares
+        LangBot's filesystem.
+        """
+        return bool(
+            self.configured_runtime_endpoint
+            or platform.get_platform() == 'docker'
+            or platform.use_websocket_to_connect_box_runtime()
+        )
+
+    # Backwards-compatible private alias.
+    def _uses_websocket(self) -> bool:
+        return self.uses_websocket()
+
+    async def initialize(self) -> None:
+        if self._uses_websocket():
+            if platform.get_platform() == 'win32' and not self.configured_runtime_endpoint:
+                await self._start_subprocess_then_ws()
+            else:
+                await self._connect_remote_ws()
+        else:
+            await self._start_local_stdio()
+
+        # Start heartbeat after successful connection
+        if self._heartbeat_task is None:
+            self._heartbeat_task = asyncio.create_task(self._heartbeat_loop())
+
+    # -- heartbeat -----------------------------------------------------------
+
+    async def _heartbeat_loop(self) -> None:
+        """Periodically ping the Box runtime to detect silent disconnections."""
+        while True:
+            await asyncio.sleep(_HEARTBEAT_INTERVAL_SEC)
+            try:
+                await self.ping()
+                self.ap.logger.debug('Heartbeat to Box runtime success.')
+            except Exception as e:
+                self.ap.logger.debug(f'Failed to heartbeat to Box runtime: {e}')
+
+    async def ping(self) -> None:
+        if self._handler is None:
+            raise BoxRuntimeUnavailableError('Box runtime is not connected')
+        await self._handler.call_action(CommonAction.PING, {})
+
+    # -- transport paths -----------------------------------------------------
+
+    async def _start_local_stdio(self) -> None:
+        """Launch box server as subprocess and connect via stdio (Unix/macOS)."""
+        from langbot_plugin.runtime.io.controllers.stdio.client import StdioClientController
+
+        self.ap.logger.info('Use stdio to connect to box runtime')
+        python_path = sys.executable
+        env = os.environ.copy()
+        if self._filtered_box_config:
+            env['LANGBOT_BOX_CONFIG'] = json.dumps(self._filtered_box_config)
+
+        connected = asyncio.Event()
+        connect_error: list[Exception] = []
+
+        ctrl = StdioClientController(
+            command=python_path,
+            # Launched through the same CLI entry point as the plugin runtime
+            # (cli.__init__ <subcommand>); `-s` selects the stdio transport,
+            # mirroring `rt -s`.
+            args=['-m', 'langbot_plugin.cli.__init__', 'box', '-s', '--ws-control-port', str(self._relay_port)],
+            env=env,
+        )
+        self._ctrl_task = asyncio.create_task(
+            ctrl.run(self._make_connection_callback('stdio', connected, connect_error))
+        )
+
+        try:
+            await asyncio.wait_for(connected.wait(), timeout=30.0)
+        except asyncio.TimeoutError:
+            raise BoxRuntimeUnavailableError('box runtime subprocess did not connect in time')
+
+        if connect_error:
+            raise BoxRuntimeUnavailableError(f'box runtime connection failed: {connect_error[0]}')
+
+        self._subprocess = ctrl.process
+
+    async def _start_subprocess_then_ws(self) -> None:
+        """Launch box server as detached subprocess, then connect via WS (Windows)."""
+        self.ap.logger.info('(windows) Use cmd to launch box runtime and communicate via ws')
+
+        env = os.environ.copy()
+        if self._filtered_box_config:
+            env['LANGBOT_BOX_CONFIG'] = json.dumps(self._filtered_box_config)
+
+        python_path = sys.executable
+        # Launched through the same CLI entry point as the plugin runtime
+        # (cli.__init__ <subcommand>); no flag => WebSocket transport.
+        self.runtime_subprocess = await asyncio.create_subprocess_exec(
+            python_path,
+            '-m',
+            'langbot_plugin.cli.__init__',
+            'box',
+            '--ws-control-port',
+            str(self._relay_port),
+            env=env,
+        )
+        self.runtime_subprocess_task = asyncio.create_task(self.runtime_subprocess.wait())
+
+        ws_url = f'ws://localhost:{self._relay_port}/rpc/ws'
+        await self._connect_ws(ws_url, '(windows) WebSocket')
+
+    async def _connect_remote_ws(self) -> None:
+        """Connect to a remote (or Docker) box server via WebSocket."""
+        ws_url = self._resolve_rpc_ws_url()
+        self.ap.logger.info(f'Use WebSocket to connect to box runtime ({ws_url})')
+        await self._connect_ws(ws_url, 'WebSocket')
+
+    # -- helpers -------------------------------------------------------------
+
+    def _resolve_rpc_ws_url(self) -> str:
+        """Determine the action-RPC WebSocket URL.
+
+        All endpoints share a single port; action RPC is at ``/rpc/ws``.
+        """
+        if self.configured_runtime_endpoint:
+            base = self.configured_runtime_endpoint.rstrip('/')
+            parsed = urlparse(base)
+            scheme = parsed.scheme or 'ws'
+            if scheme in ('http', 'https'):
+                scheme = 'wss' if scheme == 'https' else 'ws'
+            host = parsed.hostname or '127.0.0.1'
+            port = parsed.port or _DEFAULT_PORT
+            return f'{scheme}://{host}:{port}/rpc/ws'
+
+        if platform.get_platform() == 'docker':
+            return f'ws://{_DOCKER_BOX_HOST}:{_DEFAULT_PORT}/rpc/ws'
+
+        return f'ws://localhost:{self._relay_port}/rpc/ws'
+
+    async def _connect_ws(self, ws_url: str, transport_name: str) -> None:
+        """Shared WebSocket connection procedure."""
+        from langbot_plugin.runtime.io.controllers.ws.client import WebSocketClientController
+
+        connected = asyncio.Event()
+        connect_error: list[Exception] = []
+
+        async def on_connect_failed(ctrl, exc):
+            if exc is not None:
+                self.ap.logger.error(f'Failed to connect to Box runtime ({ws_url}): {exc}')
+            else:
+                self.ap.logger.error(f'Failed to connect to Box runtime ({ws_url}), trying to reconnect...')
+            connect_error.append(exc or BoxRuntimeUnavailableError('ws connection failed'))
+            connected.set()
+            if self.runtime_disconnect_callback is not None:
+                await self.runtime_disconnect_callback(self)
+
+        ctrl = WebSocketClientController(ws_url=ws_url, make_connection_failed_callback=on_connect_failed)
+        self._ctrl_task = asyncio.create_task(
+            ctrl.run(self._make_connection_callback(transport_name, connected, connect_error))
+        )
+
+        try:
+            await asyncio.wait_for(connected.wait(), timeout=30.0)
+        except asyncio.TimeoutError:
+            raise BoxRuntimeUnavailableError(f'box runtime ws connection timed out ({ws_url})')
+
+        if connect_error:
+            raise BoxRuntimeUnavailableError(f'box runtime connection failed: {connect_error[0]}')
+
+    def _make_connection_callback(
+        self,
+        transport_name: str,
+        connected: asyncio.Event,
+        connect_error: list[Exception],
+    ):
+        async def new_connection_callback(connection: Connection) -> None:
+            handler = Handler(connection)
+            self._handler = handler
+            self.client.set_handler(handler)
+            self._handler_task = asyncio.create_task(handler.run())
+            try:
+                await handler.call_action(CommonAction.PING, {})
+                if self._filtered_box_config:
+                    await handler.call_action(LangBotToBoxAction.INIT, self._filtered_box_config)
+                    self.ap.logger.debug('Sent box configuration to Box runtime via INIT.')
+                self.ap.logger.info(f'Connected to Box runtime via {transport_name}.')
+                connected.set()
+                await self._handler_task
+            except Exception as exc:
+                if not connected.is_set():
+                    connect_error.append(exc)
+                    connected.set()
+                    return
+
+            # If we reach here, handler.run() returned normally (connection
+            # closed) or raised after the initial handshake succeeded.
+            # Either way, treat it as a disconnect.
+            if connected.is_set():
+                if self._uses_websocket():
+                    self.ap.logger.error('Disconnected from Box runtime, trying to reconnect...')
+                    if self.runtime_disconnect_callback is not None:
+                        await self.runtime_disconnect_callback(self)
+                else:
+                    self.ap.logger.error(
+                        'Disconnected from Box runtime via stdio. '
+                        'Cannot automatically reconnect — please restart LangBot.'
+                    )
+
+        return new_connection_callback
+
+    # -- lifecycle -----------------------------------------------------------
+
+    def dispose(self) -> None:
+        if self._heartbeat_task is not None:
+            self._heartbeat_task.cancel()
+            self._heartbeat_task = None
+
+        if self._handler_task is not None:
+            self._handler_task.cancel()
+            self._handler_task = None
+
+        if self._ctrl_task is not None:
+            self._ctrl_task.cancel()
+            self._ctrl_task = None
+
+        # stdio-managed subprocess (stored as self._subprocess by _start_local_stdio)
+        if hasattr(self, '_subprocess') and self._subprocess is not None and self._subprocess.returncode is None:
+            self.ap.logger.info('Terminating managed box runtime process...')
+            self._subprocess.terminate()
+
+        # Subprocess launched by ManagedRuntimeConnector._start_runtime_subprocess (Windows path)
+        self._dispose_subprocess()
+
+    # -- config helpers ------------------------------------------------------
+
+    def _load_configured_runtime_endpoint(self) -> str:
+        return _get_runtime_endpoint(_get_box_config(self.ap))

src/langbot/pkg/box/policy.py

@@ -0,0 +1,98 @@
+"""Three-layer security policy for LangBot Box.
+
+The design separates concerns into three independent layers, aligned with
+OpenCode / OpenClaw patterns:
+
+1. **SandboxPolicy** – *where* tools run (host vs sandbox).
+2. **ToolPolicy** – *which* tools are allowed (allow/deny lists).
+3. **ElevatedPolicy** – *whether* a single exec call may temporarily
+   escape the default sandbox boundary.
+
+These three layers are orthogonal:
+- ToolPolicy is a hard boundary; ``elevated`` cannot bypass a denied tool.
+- SandboxPolicy decides the default execution location.
+- ElevatedPolicy only affects ``exec`` and only when the framework allows it.
+"""
+
+from __future__ import annotations
+
+import enum
+from typing import Sequence
+
+
+# ── Layer 1: Sandbox Policy ──────────────────────────────────────────
+
+
+class SandboxMode(str, enum.Enum):
+    """Determines when agent execution is routed through the sandbox."""
+
+    OFF = 'off'
+    """Sandbox disabled; all exec runs on the host."""
+
+    NON_DEFAULT = 'non_default'
+    """Only non-default sessions are sandboxed (e.g. sub-agents, MCP)."""
+
+    ALL = 'all'
+    """Every agent exec call is routed through the sandbox."""
+
+
+class SandboxPolicy:
+    """Decides whether a given execution context should use the sandbox."""
+
+    def __init__(self, mode: SandboxMode = SandboxMode.ALL):
+        self.mode = mode
+
+    def should_sandbox(self, *, is_default_session: bool = True) -> bool:
+        if self.mode == SandboxMode.OFF:
+            return False
+        if self.mode == SandboxMode.ALL:
+            return True
+        # NON_DEFAULT: sandbox everything except the default session
+        return not is_default_session
+
+
+# ── Layer 2: Tool Policy ─────────────────────────────────────────────
+
+
+class ToolPolicy:
+    """Controls which tools are available to the current agent/session.
+
+    Rules:
+    - ``deny`` always takes precedence over ``allow``.
+    - An empty ``allow`` list means "all tools allowed" (no allowlist filter).
+    - ``elevated`` cannot bypass a denied tool.
+    """
+
+    def __init__(
+        self,
+        allow: Sequence[str] = (),
+        deny: Sequence[str] = (),
+    ):
+        self._allow: frozenset[str] = frozenset(allow)
+        self._deny: frozenset[str] = frozenset(deny)
+
+    def is_tool_allowed(self, tool_name: str) -> bool:
+        if tool_name in self._deny:
+            return False
+        if self._allow and tool_name not in self._allow:
+            return False
+        return True
+
+
+# ── Layer 3: Elevated Policy ─────────────────────────────────────────
+
+
+class ElevatedPolicy:
+    """Controls whether ``exec`` may request temporary privilege escalation.
+
+    ``elevated`` only applies to the ``exec`` tool.  It means "run this
+    command outside the default sandbox boundary" (e.g. with network, or
+    on the host).  The framework decides whether to honor the request.
+    """
+
+    def __init__(self, *, allow_elevated: bool = False, require_approval: bool = True):
+        self.allow_elevated = allow_elevated
+        self.require_approval = require_approval
+
+    def is_elevation_permitted(self) -> bool:
+        return self.allow_elevated

src/langbot/pkg/box/service.py

@@ -0,0 +1,865 @@
+from __future__ import annotations
+
+import asyncio
+import collections
+import datetime as _dt
+import enum
+import json
+import os
+from typing import TYPE_CHECKING
+
+import pydantic
+
+from langbot_plugin.box.client import BoxRuntimeClient
+from .connector import BoxRuntimeConnector, _get_box_config
+from langbot_plugin.box.errors import BoxError, BoxValidationError
+from langbot_plugin.box.models import (
+    BUILTIN_PROFILES,
+    BoxExecutionResult,
+    BoxManagedProcessInfo,
+    BoxManagedProcessSpec,
+    BoxProfile,
+    BoxSpec,
+)
+
+_INT_ADAPTER = pydantic.TypeAdapter(int)
+_UTC = _dt.timezone.utc
+_MAX_RECENT_ERRORS = 50
+_MIB = 1024 * 1024
+
+
+def _is_path_under(path: str, root: str) -> bool:
+    """Check whether *path* equals *root* or is a child of *root*."""
+    return path == root or path.startswith(f'{root}{os.sep}')
+
+
+if TYPE_CHECKING:
+    from ..core import app as core_app
+    import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+
+
+class BoxService:
+    def __init__(
+        self,
+        ap: core_app.Application,
+        client: BoxRuntimeClient | None = None,
+        output_limit_chars: int = 4000,
+    ):
+        self.ap = ap
+        self._enabled = self._load_enabled()
+        self._runtime_connector: BoxRuntimeConnector | None = None
+        if client is None:
+            # Always construct a connector — its __init__ is side-effect free
+            # (no I/O, no subprocess). When ``box.enabled = false`` we simply
+            # skip ``connector.initialize()`` so no connection is attempted.
+            self._runtime_connector = BoxRuntimeConnector(ap, runtime_disconnect_callback=self._on_runtime_disconnect)
+            client = self._runtime_connector.client
+        self.client = client
+        self.output_limit_chars = output_limit_chars
+        self.host_root = self._load_host_root()
+        self.allowed_mount_roots = self._load_allowed_mount_roots()
+        self.default_workspace = self._load_default_workspace()
+        self.profile = self._load_profile()
+        self.custom_image = self._load_custom_image()
+        self.workspace_quota_mb = self._load_workspace_quota_mb()
+        self._recent_errors: collections.deque[dict] = collections.deque(maxlen=_MAX_RECENT_ERRORS)
+        self._shutdown_task = None
+        self._available = False
+        self._connector_error: str = ''
+        self._reconnecting = False
+        # Optional explicit override for shares_filesystem_with_box. None means
+        # "derive from the connector transport". Set by tests / embedders that
+        # know the real LangBot<->Box filesystem topology.
+        self._shares_filesystem_with_box_override: bool | None = None
+
+    @property
+    def enabled(self) -> bool:
+        """Whether Box is enabled in config. False means the operator has
+        deliberately turned the sandbox off via ``box.enabled = false``.
+        Disabled and "enabled but unavailable" are reported as the same
+        ``available = False`` to consumers, but distinguished in get_status."""
+        return self._enabled
+
+    async def initialize(self):
+        self._ensure_default_workspace()
+        if not self._enabled:
+            # Disabled by config: do NOT connect to a remote runtime, do NOT
+            # fork a stdio subprocess. Every consumer of box_service should
+            # gate on ``available`` and degrade gracefully.
+            self._available = False
+            self._connector_error = 'Box runtime is disabled in config (box.enabled = false)'
+            self.ap.logger.info(
+                'Box runtime disabled by config; sandbox features (exec/read/write/edit, '
+                'skill add/edit, stdio MCP) will be unavailable.'
+            )
+            return
+        try:
+            if self._runtime_connector is not None:
+                await self._runtime_connector.initialize()
+            else:
+                await self.client.initialize()
+            self._available = True
+            self._connector_error = ''
+            self.ap.logger.info(
+                f'LangBot Box runtime initialized: profile={self.profile.name} '
+                f'default_workspace={self.default_workspace or "(none)"}'
+            )
+        except Exception as exc:
+            self.ap.logger.warning(f'LangBot Box runtime unavailable, sandbox features disabled: {exc}')
+            self._available = False
+            self._connector_error = str(exc)
+
+    async def _on_runtime_disconnect(self, connector: BoxRuntimeConnector) -> None:
+        """Called by the connector when the Box runtime connection drops.
+
+        Spawns a background reconnection loop so the caller is not blocked.
+        Skipped entirely when Box is disabled by config — that path should
+        never have connected in the first place.
+        """
+        if not self._enabled:
+            return
+        if self._reconnecting:
+            return  # Another reconnect loop is already running
+        self._reconnecting = True
+        self._available = False
+        self._connector_error = 'Disconnected from Box runtime'
+        self.ap.logger.warning('Box runtime disconnected, sandbox features temporarily disabled.')
+        asyncio.create_task(self._reconnect_loop(connector))
+
+    async def _reconnect_loop(self, connector: BoxRuntimeConnector) -> None:
+        """Retry reconnection with exponential backoff (3s → 60s max)."""
+        delay = 3
+        max_delay = 60
+        try:
+            while True:
+                self.ap.logger.info(f'Attempting to reconnect to Box runtime in {delay}s...')
+                await asyncio.sleep(delay)
+                try:
+                    connector.dispose()
+                    await connector.initialize()
+                    self._available = True
+                    self._connector_error = ''
+                    self.ap.logger.info('Box runtime reconnected, sandbox features restored.')
+                    return
+                except Exception as exc:
+                    self._connector_error = str(exc)
+                    self.ap.logger.warning(f'Box runtime reconnection failed: {exc}')
+                    delay = min(delay * 2, max_delay)
+        finally:
+            self._reconnecting = False
+
+    @property
+    def available(self) -> bool:
+        return self._available
+
+    @property
+    def shares_filesystem_with_box(self) -> bool:
+        """Whether LangBot and the Box runtime share a filesystem view.
+
+        This is True only when Box runs as a local stdio child process of
+        LangBot (same container/host). In that case paths the Box runtime
+        reports — notably skill ``package_root`` — resolve identically on the
+        LangBot side, so LangBot may validate them against its own filesystem.
+
+        It is False for every separated deployment (Docker Compose, k8s
+        sidecar, ``--standalone-box``, or an explicit ``runtime.endpoint``),
+        where the Box runtime owns its own filesystem and LangBot must trust
+        the paths it reports rather than checking them locally.
+
+        When Box is wired up with an injected client (tests, custom embeds)
+        there is no connector to introspect; we conservatively report False so
+        LangBot never wrongly drops Box-reported skills. An explicit override
+        can be set via ``_shares_filesystem_with_box`` (used by tests and any
+        embedder that knows the real topology).
+        """
+        if self._shares_filesystem_with_box_override is not None:
+            return self._shares_filesystem_with_box_override
+        if self._runtime_connector is None:
+            return False
+        return not self._runtime_connector.uses_websocket()
+
+    async def execute_spec_payload(
+        self,
+        spec_payload: dict,
+        query: pipeline_query.Query,
+        *,
+        skip_host_mount_validation: bool = False,
+    ) -> dict:
+        if not self._available:
+            raise BoxError('Box runtime is not available. Install and start Docker to use sandbox features.')
+        try:
+            spec = self.build_spec(spec_payload, skip_host_mount_validation=skip_host_mount_validation)
+        except BoxError as exc:
+            self._record_error(exc, query)
+            raise
+        self.ap.logger.info(
+            'LangBot Box request: '
+            f'query_id={query.query_id} '
+            f'spec={json.dumps(self._summarize_spec(spec), ensure_ascii=False)}'
+        )
+        try:
+            await self._enforce_workspace_quota(spec, phase='before execution')
+        except BoxError as exc:
+            self._record_error(exc, query)
+            raise
+        try:
+            result = await self.client.execute(spec)
+        except BoxError as exc:
+            self._record_error(exc, query)
+            raise
+        try:
+            await self._enforce_workspace_quota(spec, phase='after execution')
+        except BoxError as exc:
+            await self._cleanup_exceeded_session(spec)
+            self._record_error(exc, query)
+            raise
+        self.ap.logger.info(
+            'LangBot Box result: '
+            f'query_id={query.query_id} '
+            f'summary={json.dumps(self._summarize_result(result), ensure_ascii=False)}'
+        )
+        return self._serialize_result(result)
+
+    def resolve_box_session_id(self, query: pipeline_query.Query) -> str:
+        """Resolve the Box session_id from the pipeline's template and query variables.
+
+        When ``system.limitation.force_box_session_id_template`` is set to a
+        non-empty value, that template overrides whatever the pipeline
+        configured. This is the authoritative SaaS guard: it runs on every
+        ``exec`` call, so a tenant cannot escape a single shared sandbox even
+        by editing the pipeline config directly through the API (which only
+        gates the web UI).
+        """
+        forced_template = self._forced_box_session_id_template()
+        if forced_template:
+            template = forced_template
+        else:
+            template = (
+                (query.pipeline_config or {})
+                .get('ai', {})
+                .get('local-agent', {})
+                .get('box-session-id-template', '{launcher_type}_{launcher_id}')
+            )
+        variables = dict(query.variables or {})
+        launcher_type = getattr(query, 'launcher_type', None)
+        if hasattr(launcher_type, 'value'):
+            launcher_type = launcher_type.value
+        launcher_id = getattr(query, 'launcher_id', None)
+        sender_id = getattr(query, 'sender_id', None)
+        query_id = getattr(query, 'query_id', None)
+
+        variables.setdefault('query_id', str(query_id or 'unknown'))
+        variables.setdefault('launcher_type', str(launcher_type or 'query'))
+        variables.setdefault('launcher_id', str(launcher_id or query_id or 'unknown'))
+        variables.setdefault('sender_id', str(sender_id or launcher_id or query_id or 'unknown'))
+        variables.setdefault('global', 'global')
+        return template.format_map(collections.defaultdict(lambda: 'unknown', variables))
+
+    def build_skill_extra_mounts(self, query: pipeline_query.Query) -> list[dict]:
+        """Build extra_mounts entries for all pipeline-bound skills.
+
+        This ensures that when a container is first created it already has
+        all skill packages mounted, regardless of which skill is currently
+        activated.
+
+        Path validation is filesystem-topology dependent. When LangBot and the
+        Box runtime share a filesystem (local stdio mode), a skill whose
+        ``package_root`` is missing or no longer a directory is skipped with a
+        warning instead of being passed through to the backend. Without that
+        guard the three backends behave inconsistently on a stale mount: nsjail
+        refuses to start the sandbox (failing every exec in the session),
+        Docker silently auto-creates a root-owned empty directory on the host,
+        and E2B silently skips the upload — none of which surfaces an
+        actionable error.
+
+        When Box runs as a separate process (Docker Compose, k8s sidecar,
+        ``--standalone-box``, or a remote ``runtime.endpoint``), the
+        ``package_root`` reported by ``list_skills`` is the Box runtime's own
+        filesystem path and is NOT resolvable on the LangBot side. Validating
+        it locally would wrongly drop every skill, so LangBot trusts the path
+        and lets the Box runtime resolve it. The Box runtime only ever reports
+        skills it discovered on its own filesystem, so the path is valid there
+        by construction.
+        """
+        skill_mgr = getattr(self.ap, 'skill_mgr', None)
+        if skill_mgr is None:
+            return []
+
+        from ..provider.tools.loaders import skill as skill_loader
+
+        validate_locally = self.shares_filesystem_with_box
+
+        visible_skills = skill_loader.get_visible_skills(self.ap, query)
+        mounts: list[dict] = []
+        for skill_name, skill_data in visible_skills.items():
+            package_root = str(skill_data.get('package_root', '') or '').strip()
+            if not package_root:
+                continue
+            if validate_locally and not os.path.isdir(package_root):
+                self.ap.logger.warning(
+                    f'Skill "{skill_name}" package_root missing on filesystem '
+                    f'({package_root}); skipping mount to prevent sandbox failures. '
+                    f'The skill cache may be stale — consider reloading skills.'
+                )
+                continue
+            mounts.append(
+                {
+                    'host_path': package_root,
+                    'mount_path': f'/workspace/.skills/{skill_name}',
+                    'mode': 'rw',
+                }
+            )
+        return mounts
+
+    async def execute_tool(self, parameters: dict, query: pipeline_query.Query) -> dict:
+        """Execute an agent-facing ``exec`` tool call.
+
+        Translates the agent-facing ``command`` field to the internal
+        ``BoxSpec.cmd`` field and injects the session id from the query.
+        """
+        spec_payload: dict = {'cmd': parameters['command']}
+
+        # Pass through allowed agent-facing fields
+        for key in ('workdir', 'timeout_sec', 'env'):
+            if key in parameters:
+                spec_payload[key] = parameters[key]
+
+        # Inject context the agent must not control
+        spec_payload.setdefault('session_id', self.resolve_box_session_id(query))
+
+        # Mount all pipeline-bound skills so they are available in the container
+        if 'extra_mounts' not in spec_payload:
+            spec_payload['extra_mounts'] = self.build_skill_extra_mounts(query)
+
+        return await self.execute_spec_payload(spec_payload, query)
+
+    async def shutdown(self):
+        await self.client.shutdown()
+
+    def dispose(self):
+        if self._runtime_connector is not None:
+            self._runtime_connector.dispose()
+        loop = getattr(self.ap, 'event_loop', None)
+        if loop is not None and not loop.is_closed() and (self._shutdown_task is None or self._shutdown_task.done()):
+            self._shutdown_task = loop.create_task(self.shutdown())
+
+    async def get_sessions(self) -> list[dict]:
+        if not self._available:
+            return []
+        try:
+            return await self.client.get_sessions()
+        except Exception:
+            return []
+
+    def build_spec(self, spec_payload: dict, skip_host_mount_validation: bool = False) -> BoxSpec:
+        spec_payload = dict(spec_payload)
+        spec_payload.setdefault('env', {})
+        if spec_payload.get('host_path') in (None, '') and self.default_workspace is not None:
+            spec_payload['host_path'] = self.default_workspace
+        if spec_payload.get('workspace_quota_mb') in (None, '') and self.workspace_quota_mb is not None:
+            spec_payload['workspace_quota_mb'] = self.workspace_quota_mb
+
+        # Global custom image overrides profile default (but not caller-specified image)
+        if self.custom_image and 'image' not in spec_payload:
+            spec_payload['image'] = self.custom_image
+
+        self._apply_profile(spec_payload)
+
+        try:
+            spec = BoxSpec.model_validate(spec_payload)
+        except pydantic.ValidationError as exc:
+            first_error = exc.errors()[0]
+            raise BoxValidationError(first_error.get('msg', 'invalid box arguments')) from exc
+
+        if not skip_host_mount_validation:
+            self._validate_host_mount(spec)
+        return spec
+
+    async def create_session(self, spec_payload: dict, *, skip_host_mount_validation: bool = False) -> dict:
+        spec = self.build_spec(spec_payload, skip_host_mount_validation=skip_host_mount_validation)
+        return await self.client.create_session(spec)
+
+    async def start_managed_process(self, session_id: str, process_payload: dict) -> BoxManagedProcessInfo:
+        process_spec = BoxManagedProcessSpec.model_validate(process_payload)
+        return await self.client.start_managed_process(session_id, process_spec)
+
+    async def get_managed_process(self, session_id: str, process_id: str = 'default') -> BoxManagedProcessInfo:
+        return await self.client.get_managed_process(session_id, process_id)
+
+    async def stop_managed_process(self, session_id: str, process_id: str = 'default') -> None:
+        return await self.client.stop_managed_process(session_id, process_id)
+
+    def get_managed_process_websocket_url(self, session_id: str, process_id: str = 'default') -> str:
+        getter = getattr(self.client, 'get_managed_process_websocket_url', None)
+        if getter is None:
+            raise BoxValidationError('box runtime client does not support managed process websocket attach')
+        ws_relay_base_url = (
+            self._runtime_connector.ws_relay_base_url
+            if self._runtime_connector is not None
+            else 'http://127.0.0.1:5410'
+        )
+        return getter(session_id, ws_relay_base_url, process_id)
+
+    async def list_skills(self) -> list[dict]:
+        return await self.client.list_skills()
+
+    async def get_skill(self, name: str) -> dict | None:
+        return await self.client.get_skill(name)
+
+    async def create_skill(self, skill: dict) -> dict:
+        return await self.client.create_skill(skill)
+
+    async def update_skill(self, name: str, skill: dict) -> dict:
+        return await self.client.update_skill(name, skill)
+
+    async def delete_skill(self, name: str) -> None:
+        await self.client.delete_skill(name)
+
+    async def scan_skill_directory(self, path: str) -> dict:
+        return await self.client.scan_skill_directory(path)
+
+    async def list_skill_files(
+        self,
+        name: str,
+        path: str = '.',
+        include_hidden: bool = False,
+        max_entries: int = 200,
+    ) -> dict:
+        return await self.client.list_skill_files(name, path, include_hidden, max_entries)
+
+    async def read_skill_file(self, name: str, path: str) -> dict:
+        return await self.client.read_skill_file(name, path)
+
+    async def write_skill_file(self, name: str, path: str, content: str) -> dict:
+        return await self.client.write_skill_file(name, path, content)
+
+    async def preview_skill_zip(
+        self,
+        file_bytes: bytes,
+        filename: str,
+        source_subdir: str = '',
+        target_suffix: str = 'upload',
+    ) -> list[dict]:
+        return await self.client.preview_skill_zip(file_bytes, filename, source_subdir, target_suffix)
+
+    async def install_skill_zip(
+        self,
+        file_bytes: bytes,
+        filename: str,
+        source_paths: list[str] | None = None,
+        source_path: str = '',
+        source_subdir: str = '',
+        target_suffix: str = 'upload',
+    ) -> list[dict]:
+        return await self.client.install_skill_zip(
+            file_bytes,
+            filename,
+            source_paths,
+            source_path,
+            source_subdir,
+            target_suffix,
+        )
+
+    def _serialize_result(self, result: BoxExecutionResult) -> dict:
+        stdout, stdout_truncated = self._truncate(result.stdout)
+        stderr, stderr_truncated = self._truncate(result.stderr)
+
+        return {
+            'session_id': result.session_id,
+            'backend': result.backend_name,
+            'status': result.status.value,
+            'ok': result.ok,
+            'exit_code': result.exit_code,
+            'stdout': stdout,
+            'stderr': stderr,
+            'stdout_truncated': stdout_truncated,
+            'stderr_truncated': stderr_truncated,
+            'duration_ms': result.duration_ms,
+        }
+
+    def _truncate(self, text: str) -> tuple[str, bool]:
+        if len(text) <= self.output_limit_chars:
+            return text, False
+        if self.output_limit_chars <= 0:
+            return '', True
+
+        head_size = 0
+        tail_size = 0
+        notice = ''
+        # Recompute once the omitted count is known so the final payload
+        # stays within output_limit_chars even after adding the notice.
+        for _ in range(4):
+            omitted = max(len(text) - head_size - tail_size, 0)
+            notice = f'\n\n... [{omitted} characters truncated] ...\n\n'
+            available = self.output_limit_chars - len(notice)
+            if available <= 0:
+                return notice[: self.output_limit_chars], True
+
+            new_head_size = int(available * 0.6)
+            new_tail_size = available - new_head_size
+            if new_head_size == head_size and new_tail_size == tail_size:
+                break
+            head_size = new_head_size
+            tail_size = new_tail_size
+
+        head = text[:head_size]
+        tail = text[-tail_size:] if tail_size else ''
+        truncated = f'{head}{notice}{tail}'
+        return truncated[: self.output_limit_chars], True
+
+    def _summarize_spec(self, spec: BoxSpec) -> dict:
+        cmd = spec.cmd.strip()
+        if len(cmd) > 400:
+            cmd = f'{cmd[:397]}...'
+
+        return {
+            'session_id': spec.session_id,
+            'workdir': spec.workdir,
+            'mount_path': spec.mount_path,
+            'timeout_sec': spec.timeout_sec,
+            'network': spec.network.value,
+            'image': spec.image,
+            'host_path': spec.host_path,
+            'host_path_mode': spec.host_path_mode.value,
+            'cpus': spec.cpus,
+            'memory_mb': spec.memory_mb,
+            'pids_limit': spec.pids_limit,
+            'read_only_rootfs': spec.read_only_rootfs,
+            'workspace_quota_mb': spec.workspace_quota_mb,
+            'env_keys': sorted(spec.env.keys()),
+            'cmd': cmd,
+        }
+
+    def _summarize_result(self, result: BoxExecutionResult) -> dict:
+        stdout_preview = result.stdout[:200]
+        stderr_preview = result.stderr[:200]
+        if len(result.stdout) > 200:
+            stdout_preview = f'{stdout_preview}...'
+        if len(result.stderr) > 200:
+            stderr_preview = f'{stderr_preview}...'
+
+        return {
+            'session_id': result.session_id,
+            'backend': result.backend_name,
+            'status': result.status.value,
+            'exit_code': result.exit_code,
+            'duration_ms': result.duration_ms,
+            'stdout_preview': stdout_preview,
+            'stderr_preview': stderr_preview,
+        }
+
+    def _local_config(self) -> dict:
+        """Return ``box.local`` from instance config.
+
+        Environment overrides are applied uniformly by
+        ``LoadConfigStage._apply_env_overrides_to_config`` (e.g.
+        ``BOX__LOCAL__HOST_ROOT``) before this is read, so no box-specific
+        env parsing happens here.
+        """
+        return dict(_get_box_config(self.ap).get('local') or {})
+
+    def _load_allowed_mount_roots(self) -> list[str]:
+        configured_roots = self._local_config().get('allowed_mount_roots', [])
+        # The unified env-override mechanism stores a brand-new key as a raw
+        # string when the key is absent from config.yaml. Accept a
+        # comma-separated string as well as a list so that
+        # ``BOX__LOCAL__ALLOWED_MOUNT_ROOTS="/a,/b"`` keeps working even when
+        # the config file has no ``box.local.allowed_mount_roots`` entry.
+        if isinstance(configured_roots, str):
+            configured_roots = [item.strip() for item in configured_roots.split(',') if item.strip()]
+
+        normalized_roots: list[str] = []
+        for root in configured_roots:
+            root_value = str(root).strip()
+            if not root_value:
+                continue
+            normalized_roots.append(os.path.realpath(os.path.abspath(root_value)))
+
+        if not normalized_roots and self.host_root is not None:
+            normalized_roots.append(self.host_root)
+
+        return normalized_roots
+
+    def _load_host_root(self) -> str | None:
+        host_root = str(self._local_config().get('host_root', '')).strip()
+        if not host_root:
+            return None
+        return os.path.realpath(os.path.abspath(host_root))
+
+    def _load_default_workspace(self) -> str | None:
+        default_workspace = str(self._local_config().get('default_workspace', '')).strip()
+        if not default_workspace:
+            if self.host_root is None:
+                return None
+            default_workspace = os.path.join(self.host_root, 'default')
+        elif not os.path.isabs(default_workspace) and self.host_root is not None:
+            default_workspace = os.path.join(self.host_root, default_workspace)
+        return os.path.realpath(os.path.abspath(default_workspace))
+
+    def get_skills_root(self) -> str | None:
+        skills_root = str(self._local_config().get('skills_root', '') or 'skills').strip()
+        if not skills_root:
+            skills_root = 'skills'
+        if not os.path.isabs(skills_root) and self.host_root is not None:
+            skills_root = os.path.join(self.host_root, skills_root)
+        return os.path.realpath(os.path.abspath(skills_root))
+
+    def _load_enabled(self) -> bool:
+        """Read ``box.enabled`` (top-level, not ``box.local.*``). Default True
+        — disabling is opt-in. Accepts bool, ``'true'``/``'false'`` strings,
+        and the standard env-overridden truthy values that
+        ``LoadConfigStage._apply_env_overrides_to_config`` produces."""
+        raw = _get_box_config(self.ap).get('enabled', True)
+        if isinstance(raw, bool):
+            return raw
+        return str(raw).strip().lower() not in ('false', '0', 'no', 'off', '')
+
+    def _load_custom_image(self) -> str | None:
+        raw = str(self._local_config().get('image', '') or '').strip()
+        return raw or None
+
+    def _forced_box_session_id_template(self) -> str:
+        """Return the SaaS-forced sandbox-scope template, or '' when unset.
+
+        Read from ``system.limitation.force_box_session_id_template``. A
+        non-empty value pins every pipeline to a single sandbox scope
+        (e.g. ``'{global}'``) and cannot be overridden per-pipeline.
+        """
+        limitation = (
+            (self.ap.instance_config.data or {}).get('system', {}).get('limitation', {})
+            if getattr(self.ap, 'instance_config', None) is not None
+            else {}
+        )
+        return str(limitation.get('force_box_session_id_template', '') or '').strip()
+
+    def _load_workspace_quota_mb(self) -> int | None:
+        raw_value = self._local_config().get('workspace_quota_mb')
+        if raw_value in (None, ''):
+            return None
+        try:
+            value = _INT_ADAPTER.validate_python(raw_value)
+        except pydantic.ValidationError as exc:
+            raise BoxValidationError('workspace_quota_mb must be an integer greater than or equal to 0') from exc
+        if value < 0:
+            raise BoxValidationError('workspace_quota_mb must be greater than or equal to 0')
+        return value
+
+    def _ensure_default_workspace(self):
+        if self.default_workspace is None:
+            return
+
+        if os.path.isdir(self.default_workspace):
+            return
+
+        if os.path.exists(self.default_workspace):
+            raise BoxValidationError('box.local.default_workspace must point to a directory on the host')
+
+        if not self.allowed_mount_roots:
+            raise BoxValidationError(
+                'box.local.default_workspace cannot be created because no allowed_mount_roots are configured'
+            )
+
+        for allowed_root in self.allowed_mount_roots:
+            if _is_path_under(self.default_workspace, allowed_root):
+                os.makedirs(self.default_workspace, exist_ok=True)
+                return
+
+        allowed_roots = ', '.join(self.allowed_mount_roots)
+        raise BoxValidationError(f'box.local.default_workspace is outside allowed_mount_roots: {allowed_roots}')
+
+    def _validate_host_mount(self, spec: BoxSpec):
+        if spec.host_path is None:
+            return
+
+        host_path = os.path.realpath(spec.host_path)
+        if not os.path.isdir(host_path):
+            raise BoxValidationError('host_path must point to an existing directory on the host')
+
+        if not self.allowed_mount_roots:
+            raise BoxValidationError('host_path mounting is disabled because no allowed_mount_roots are configured')
+
+        for allowed_root in self.allowed_mount_roots:
+            if _is_path_under(host_path, allowed_root):
+                return
+
+        allowed_roots = ', '.join(self.allowed_mount_roots)
+        raise BoxValidationError(f'host_path is outside allowed_mount_roots: {allowed_roots}')
+
+    def _load_profile(self) -> BoxProfile:
+        profile_name = str(self._local_config().get('profile', 'default')).strip() or 'default'
+
+        profile = BUILTIN_PROFILES.get(profile_name)
+        if profile is None:
+            available = ', '.join(sorted(BUILTIN_PROFILES))
+            raise BoxValidationError(f"unknown box profile '{profile_name}', available profiles: {available}")
+        return profile
+
+    def _apply_profile(self, params: dict):
+        """Merge profile defaults into *params* in-place, enforce locked fields and clamp timeout."""
+        profile = self.profile
+        _PROFILE_FIELDS = (
+            'image',
+            'network',
+            'timeout_sec',
+            'host_path_mode',
+            'cpus',
+            'memory_mb',
+            'pids_limit',
+            'read_only_rootfs',
+            'workspace_quota_mb',
+        )
+
+        for field in _PROFILE_FIELDS:
+            profile_value = getattr(profile, field)
+            raw_value = profile_value.value if isinstance(profile_value, enum.Enum) else profile_value
+
+            if field in profile.locked:
+                params[field] = raw_value
+            elif field not in params:
+                params[field] = raw_value
+
+        timeout = params.get('timeout_sec')
+        try:
+            normalized_timeout = _INT_ADAPTER.validate_python(timeout)
+        except pydantic.ValidationError:
+            return
+
+        if normalized_timeout > profile.max_timeout_sec:
+            params['timeout_sec'] = profile.max_timeout_sec
+
+    def _get_workspace_size_bytes(self, root: str) -> int:
+        total = 0
+
+        def _walk(path: str):
+            nonlocal total
+            try:
+                with os.scandir(path) as entries:
+                    for entry in entries:
+                        try:
+                            if entry.is_symlink():
+                                total += entry.stat(follow_symlinks=False).st_size
+                                continue
+                            if entry.is_dir(follow_symlinks=False):
+                                _walk(entry.path)
+                                continue
+                            total += entry.stat(follow_symlinks=False).st_size
+                        except FileNotFoundError:
+                            continue
+            except FileNotFoundError:
+                return
+
+        _walk(root)
+        return total
+
+    async def _enforce_workspace_quota(self, spec: BoxSpec, *, phase: str) -> None:
+        if spec.host_path is None or spec.workspace_quota_mb <= 0:
+            return
+
+        host_path = os.path.realpath(spec.host_path)
+        if not os.path.isdir(host_path):
+            return
+
+        # Walk the workspace off the event loop — this runs on every
+        # quota-enforced exec, and a large tree would otherwise block the whole
+        # asyncio runtime (all bots/pipelines) for the duration of the scan.
+        used_bytes = await asyncio.to_thread(self._get_workspace_size_bytes, host_path)
+        limit_bytes = spec.workspace_quota_mb * _MIB
+        if used_bytes <= limit_bytes:
+            return
+
+        raise BoxValidationError(
+            f'workspace quota exceeded {phase}: '
+            f'used={used_bytes} bytes limit={limit_bytes} bytes '
+            f'host_path={host_path} session_id={spec.session_id}'
+        )
+
+    async def _cleanup_exceeded_session(self, spec: BoxSpec) -> None:
+        try:
+            await self.client.delete_session(spec.session_id)
+        except Exception as exc:
+            self.ap.logger.warning(
+                'Failed to clean up Box session after workspace quota was exceeded: '
+                f'session_id={spec.session_id} error={exc}'
+            )
+
+    # ── Observability ─────────────────────────────────────────────────
+
+    def _record_error(self, exc: Exception, query: pipeline_query.Query):
+        self._recent_errors.append(
+            {
+                'timestamp': _dt.datetime.now(_UTC).isoformat(),
+                'type': type(exc).__name__,
+                'message': str(exc),
+                'query_id': str(query.query_id),
+            }
+        )
+
+    def get_recent_errors(self) -> list[dict]:
+        return list(self._recent_errors)
+
+    def get_system_guidance(self) -> str:
+        """Return LLM system-prompt guidance for the exec tool.
+
+        All execution-specific prompt text is kept here so that callers
+        (e.g. LocalAgentRunner) stay free of box domain knowledge.
+        """
+        guidance = (
+            'When the exec tool is available, use it for exact calculations, statistics, structured data parsing, '
+            'and code execution instead of estimating mentally. If the user provides numbers, tables, CSV-like text, '
+            'JSON, or other data and asks for a computed answer, prefer running a short Python script via exec '
+            'and then answer from the tool result. Unless the user explicitly asks for the script, code, or implementation '
+            'details, do not include the generated script in the final answer; return the result and a brief explanation only.'
+        )
+        if self.default_workspace:
+            guidance += (
+                ' A default workspace is mounted at /workspace for file tasks. When the user asks to read, create, or '
+                'modify local files in the working directory, use exec with /workspace paths directly; do not ask the '
+                'user for directory parameters unless they explicitly need a different directory.'
+            )
+        return guidance
+
+    async def get_status(self) -> dict:
+        if not self._available:
+            return {
+                'available': False,
+                'enabled': self._enabled,
+                'profile': self.profile.name,
+                'recent_error_count': len(self._recent_errors),
+                'connector_error': self._connector_error,
+            }
+        try:
+            runtime_status = await self.client.get_status()
+        except Exception as exc:
+            # RPC failed — the runtime likely just disconnected and the
+            # heartbeat hasn't flipped _available yet.
+            return {
+                'available': False,
+                'enabled': self._enabled,
+                'profile': self.profile.name,
+                'recent_error_count': len(self._recent_errors),
+                'connector_error': str(exc),
+            }
+        # Backend state can be unavailable even when the connector is healthy
+        # (operator selected nsjail but the binary is missing, Docker daemon
+        # went down after the runtime started, E2B credentials wrong, ...).
+        # Report the combined state in the top-level ``available`` so the
+        # frontend banner / ``useBoxStatus`` hook / native-tool gate all
+        # agree on "actually usable" rather than "connector alive". The
+        # detailed ``backend`` object stays in the payload so the dialog
+        # can still show which backend was tried.
+        backend_info = runtime_status.get('backend') if isinstance(runtime_status, dict) else None
+        backend_ok = bool(backend_info and backend_info.get('available', False))
+        payload = {
+            **runtime_status,
+            'available': backend_ok,
+            'enabled': self._enabled,
+            'profile': self.profile.name,
+            'recent_error_count': len(self._recent_errors),
+        }
+        if not backend_ok and 'connector_error' not in payload:
+            backend_name = backend_info.get('name') if backend_info else None
+            if backend_name:
+                payload['connector_error'] = f'Configured sandbox backend "{backend_name}" is unavailable'
+            else:
+                payload['connector_error'] = 'No supported sandbox backend (Docker / nsjail / E2B) is available'
+        return payload

src/langbot/pkg/box/workspace.py

@@ -0,0 +1,413 @@
+"""Reusable workspace/session helpers built on top of Box.
+
+This module is the middle layer between the raw Box runtime primitives and
+application-specific flows such as skills or MCP stdio.
+
+It intentionally stays generic:
+- path and virtualenv rewriting are workspace concerns
+- Python project detection/bootstrap are workspace concerns
+- session exec / managed-process helpers are workspace concerns
+
+Higher layers add their own semantics on top, for example:
+- skills choose a stable per-skill session id and use repeated exec
+- MCP stdio chooses how to prepare dependencies and attaches to a managed process
+"""
+
+from __future__ import annotations
+
+import os
+import textwrap
+from typing import Any
+
+PYTHON_MANIFEST_FILES = (
+    'requirements.txt',
+    'pyproject.toml',
+    'setup.py',
+    'setup.cfg',
+)
+_VENV_DIRS = frozenset({'.venv', 'venv', 'env', '.env'})
+_VENV_BIN_DIRS = frozenset({'bin', 'Scripts'})
+
+
+def normalize_host_path(path: str | None) -> str:
+    if path is None:
+        return ''
+    stripped = str(path).strip()
+    if not stripped:
+        return ''
+    return os.path.realpath(os.path.abspath(stripped))
+
+
+def rewrite_mounted_path(path: str, host_path: str | None, *, mount_path: str = '/workspace') -> str:
+    """Translate a host path into the path visible inside the sandbox mount."""
+    if not host_path or not path:
+        return path
+    normalized_host = os.path.realpath(host_path)
+    normalized_path = os.path.realpath(path)
+    if normalized_path.startswith(normalized_host + '/'):
+        return mount_path + normalized_path[len(normalized_host) :]
+    if normalized_path == normalized_host:
+        return mount_path
+    return path
+
+
+def unwrap_venv_path(directory: str) -> str:
+    """Collapse ``.../.venv/bin`` style paths back to the project root."""
+    parts = directory.replace('\\', '/').split('/')
+    for i in range(len(parts) - 1, 0, -1):
+        if parts[i] in _VENV_BIN_DIRS and i >= 1:
+            venv_dir = parts[i - 1]
+            if venv_dir in _VENV_DIRS:
+                project_root = '/'.join(parts[: i - 1])
+                return project_root if project_root else '/'
+    return directory
+
+
+def infer_workspace_host_path(command: str, args: list[str] | None = None) -> str | None:
+    """Infer the project/workspace root from absolute command/arg paths."""
+    candidates: list[str] = []
+    for part in [command, *(args or [])]:
+        if not os.path.isabs(part):
+            continue
+        if os.path.exists(part):
+            directory = os.path.dirname(part)
+            candidates.append(os.path.realpath(unwrap_venv_path(directory)))
+    if not candidates:
+        return None
+    common = os.path.commonpath(candidates)
+    return common if common != '/' else None
+
+
+def rewrite_venv_command(command: str, host_path: str | None, *, mount_path: str = '/workspace') -> str:
+    """Rewrite host venv interpreters to plain ``python`` inside the sandbox.
+
+    Once a project is mounted into the sandbox, host virtualenv paths are no
+    longer valid. For those paths we intentionally drop down to ``python`` and
+    let the sandbox-side environment/bootstrap decide what interpreter to use.
+    """
+    if not host_path or not command:
+        return command
+    normalized_host = os.path.realpath(host_path)
+    normalized_command = os.path.realpath(command)
+    if not normalized_command.startswith(normalized_host + '/'):
+        return command
+    rel = normalized_command[len(normalized_host) + 1 :]
+    parts = rel.replace('\\', '/').split('/')
+    if len(parts) >= 3 and parts[0] in _VENV_DIRS and parts[1] in _VENV_BIN_DIRS and parts[2].startswith('python'):
+        return 'python'
+    return rewrite_mounted_path(normalized_command, host_path, mount_path=mount_path)
+
+
+def list_python_manifest_files(host_path: str | None) -> list[str]:
+    normalized_root = normalize_host_path(host_path)
+    if not normalized_root:
+        return []
+    return [filename for filename in PYTHON_MANIFEST_FILES if os.path.isfile(os.path.join(normalized_root, filename))]
+
+
+def classify_python_workspace(host_path: str | None) -> str | None:
+    """Return the generic Python workspace shape, without app-specific policy."""
+    manifest_files = set(list_python_manifest_files(host_path))
+    if not manifest_files:
+        return None
+    if {'pyproject.toml', 'setup.py', 'setup.cfg'} & manifest_files:
+        return 'package'
+    if 'requirements.txt' in manifest_files:
+        return 'requirements'
+    return None
+
+
+def should_prepare_python_env(host_path: str | None) -> bool:
+    normalized_root = normalize_host_path(host_path)
+    if not normalized_root:
+        return False
+    if os.path.isdir(os.path.join(normalized_root, '.venv')):
+        return True
+    return bool(list_python_manifest_files(normalized_root))
+
+
+def wrap_python_command_with_env(command: str, *, mount_path: str = '/workspace') -> str:
+    """Wrap a command with a reusable sandbox-local Python env bootstrap.
+
+    This is the generic "workspace is a Python project" path used by mutable
+    workspaces such as skills. Read-only installation strategies stay in the
+    higher-level caller because they are application policy, not workspace
+    semantics.
+    """
+    bootstrap = textwrap.dedent(
+        f"""
+        set -e
+
+        _LB_VENV_DIR="{mount_path}/.venv"
+        _LB_META_DIR="{mount_path}/.langbot"
+        _LB_META_FILE="$_LB_META_DIR/python-env.json"
+        _LB_LOCK_DIR="$_LB_META_DIR/python-env.lock"
+        _LB_TMP_DIR="{mount_path}/.tmp"
+        _LB_PIP_CACHE_DIR="{mount_path}/.cache/pip"
+
+        mkdir -p "$_LB_META_DIR" "$_LB_TMP_DIR" "$_LB_PIP_CACHE_DIR"
+        export TMPDIR="$_LB_TMP_DIR"
+        export TEMP="$_LB_TMP_DIR"
+        export TMP="$_LB_TMP_DIR"
+        export PIP_CACHE_DIR="$_LB_PIP_CACHE_DIR"
+
+        _lb_python_meta() {{
+          python - <<'PY'
+        import hashlib
+        import json
+        import os
+        import sys
+
+        root = "{mount_path}"
+        digest = hashlib.sha256()
+        manifest_files = []
+        for rel in ("requirements.txt", "pyproject.toml", "setup.py", "setup.cfg"):
+            path = os.path.join(root, rel)
+            if not os.path.isfile(path):
+                continue
+            manifest_files.append(rel)
+            with open(path, "rb") as handle:
+                digest.update(rel.encode("utf-8"))
+                digest.update(b"\\0")
+                digest.update(handle.read())
+                digest.update(b"\\0")
+
+        print(
+            json.dumps(
+                {{
+                    "python_executable": sys.executable,
+                    "python_version": list(sys.version_info[:3]),
+                    "manifest_files": manifest_files,
+                    "manifest_sha256": digest.hexdigest(),
+                }},
+                sort_keys=True,
+            )
+        )
+        PY
+        }}
+
+        _LB_CURRENT_META="$(_lb_python_meta)"
+        _LB_NEEDS_BOOTSTRAP=0
+
+        if [ ! -x "$_LB_VENV_DIR/bin/python" ]; then
+          _LB_NEEDS_BOOTSTRAP=1
+        elif [ ! -f "$_LB_META_FILE" ]; then
+          _LB_NEEDS_BOOTSTRAP=1
+        elif [ "$(cat "$_LB_META_FILE")" != "$_LB_CURRENT_META" ]; then
+          _LB_NEEDS_BOOTSTRAP=1
+        fi
+
+        if [ "$_LB_NEEDS_BOOTSTRAP" -eq 1 ]; then
+          _LB_LOCK_WAIT=0
+          while ! mkdir "$_LB_LOCK_DIR" 2>/dev/null; do
+            if [ "$_LB_LOCK_WAIT" -ge 120 ]; then
+              echo "Timed out waiting for Python environment lock: $_LB_LOCK_DIR" >&2
+              exit 1
+            fi
+            sleep 1
+            _LB_LOCK_WAIT=$((_LB_LOCK_WAIT + 1))
+          done
+
+          _lb_cleanup_lock() {{
+            rmdir "$_LB_LOCK_DIR" >/dev/null 2>&1 || true
+          }}
+          trap _lb_cleanup_lock EXIT INT TERM
+
+          _LB_CURRENT_META="$(_lb_python_meta)"
+          _LB_NEEDS_BOOTSTRAP=0
+          if [ ! -x "$_LB_VENV_DIR/bin/python" ]; then
+            _LB_NEEDS_BOOTSTRAP=1
+          elif [ ! -f "$_LB_META_FILE" ]; then
+            _LB_NEEDS_BOOTSTRAP=1
+          elif [ "$(cat "$_LB_META_FILE")" != "$_LB_CURRENT_META" ]; then
+            _LB_NEEDS_BOOTSTRAP=1
+          fi
+
+          if [ "$_LB_NEEDS_BOOTSTRAP" -eq 1 ]; then
+            rm -rf "$_LB_VENV_DIR"
+            python -m venv "$_LB_VENV_DIR"
+            . "$_LB_VENV_DIR/bin/activate"
+            python -m pip install --upgrade pip setuptools wheel
+            if [ -f "{mount_path}/requirements.txt" ]; then
+              python -m pip install -r "{mount_path}/requirements.txt"
+            elif [ -f "{mount_path}/pyproject.toml" ] || [ -f "{mount_path}/setup.py" ] || [ -f "{mount_path}/setup.cfg" ]; then
+              python -m pip install "{mount_path}"
+            fi
+            printf '%s' "$_LB_CURRENT_META" > "$_LB_META_FILE"
+          fi
+        fi
+
+        export VIRTUAL_ENV="$_LB_VENV_DIR"
+        export PATH="$_LB_VENV_DIR/bin:$PATH"
+        {command}
+        """
+    ).strip()
+    return bootstrap + '\n'
+
+
+class BoxWorkspaceSession:
+    """High-level handle for one reusable workspace-backed Box session.
+
+    The Box runtime already understands sessions and managed processes. This
+    wrapper adds LangBot's workspace-centric view on top: a mounted host path,
+    a stable ``session_id``, optional environment defaults, and convenience
+    helpers for exec or long-running processes inside that workspace.
+    """
+
+    def __init__(
+        self,
+        box_service,
+        session_id: str,
+        *,
+        host_path: str | None = None,
+        host_path_mode: str = 'rw',
+        workdir: str = '/workspace',
+        env: dict[str, str] | None = None,
+        mount_path: str = '/workspace',
+        network: str | None = None,
+        read_only_rootfs: bool | None = None,
+        image: str | None = None,
+        cpus: float | None = None,
+        memory_mb: int | None = None,
+        pids_limit: int | None = None,
+        persistent: bool = False,
+    ):
+        self.box_service = box_service
+        self.session_id = session_id
+        self.host_path = host_path
+        self.host_path_mode = host_path_mode
+        self.workdir = workdir
+        self.env = dict(env or {})
+        self.mount_path = mount_path
+        self.network = network
+        self.read_only_rootfs = read_only_rootfs
+        self.image = image
+        self.cpus = cpus
+        self.memory_mb = memory_mb
+        self.pids_limit = pids_limit
+        self.persistent = persistent
+
+    def rewrite_path(self, path: str) -> str:
+        return rewrite_mounted_path(path, self.host_path, mount_path=self.mount_path)
+
+    def rewrite_venv_command(self, command: str) -> str:
+        return rewrite_venv_command(command, self.host_path, mount_path=self.mount_path)
+
+    def build_session_payload(self) -> dict[str, Any]:
+        # Keep this payload generic so callers can reuse the same workspace
+        # handle for plain exec, file-producing tasks, or managed processes.
+        payload: dict[str, Any] = {
+            'session_id': self.session_id,
+            'workdir': self.workdir,
+            'env': self.env,
+            'persistent': self.persistent,
+        }
+        if self.network is not None:
+            payload['network'] = self.network
+        if self.read_only_rootfs is not None:
+            payload['read_only_rootfs'] = self.read_only_rootfs
+        if self.host_path:
+            payload['host_path'] = self.host_path
+            payload['host_path_mode'] = self.host_path_mode
+        for key in ('image', 'cpus', 'memory_mb', 'pids_limit'):
+            value = getattr(self, key)
+            if value is not None:
+                payload[key] = value
+        return payload
+
+    def build_exec_payload(
+        self,
+        cmd: str,
+        *,
+        workdir: str | None = None,
+        env: dict[str, str] | None = None,
+        timeout_sec: int | None = None,
+    ) -> dict[str, Any]:
+        # Exec payloads inherit the session-level workspace config, then layer
+        # per-call command/workdir/env overrides on top.
+        payload = self.build_session_payload()
+        payload['cmd'] = cmd
+        payload['workdir'] = workdir or self.workdir
+        if timeout_sec is not None:
+            payload['timeout_sec'] = timeout_sec
+        resolved_env = self.env if env is None else env
+        if resolved_env:
+            payload['env'] = resolved_env
+        elif 'env' in payload and not payload['env']:
+            payload.pop('env')
+        return payload
+
+    async def execute_raw(
+        self,
+        cmd: str,
+        *,
+        workdir: str | None = None,
+        env: dict[str, str] | None = None,
+        timeout_sec: int | None = None,
+    ):
+        payload = self.build_exec_payload(cmd, workdir=workdir, env=env, timeout_sec=timeout_sec)
+        return await self.box_service.client.execute(self.box_service.build_spec(payload))
+
+    async def execute_for_query(
+        self,
+        query,
+        cmd: str,
+        *,
+        workdir: str | None = None,
+        env: dict[str, str] | None = None,
+        timeout_sec: int | None = None,
+    ) -> dict:
+        payload = self.build_exec_payload(cmd, workdir=workdir, env=env, timeout_sec=timeout_sec)
+        return await self.box_service.execute_spec_payload(payload, query)
+
+    async def create_session(self):
+        return await self.box_service.create_session(self.build_session_payload())
+
+    def build_process_payload(
+        self,
+        command: str,
+        args: list[str] | None = None,
+        *,
+        env: dict[str, str] | None = None,
+        cwd: str = '/workspace',
+    ) -> dict[str, Any]:
+        # Managed processes run inside the same workspace model as one-shot
+        # execs, so path/venv rewriting is shared here.
+        normalized_command = command
+        normalized_args = list(args or [])
+        normalized_cwd = cwd
+        if self.host_path:
+            normalized_command = self.rewrite_venv_command(command)
+            normalized_args = [self.rewrite_path(arg) for arg in normalized_args]
+            normalized_cwd = self.rewrite_path(cwd)
+        return {
+            'command': normalized_command,
+            'args': normalized_args,
+            'env': dict(env or {}),
+            'cwd': normalized_cwd,
+        }
+
+    async def start_managed_process(
+        self,
+        command: str,
+        args: list[str] | None = None,
+        *,
+        process_id: str = 'default',
+        env: dict[str, str] | None = None,
+        cwd: str = '/workspace',
+    ):
+        payload = self.build_process_payload(command, args, env=env, cwd=cwd)
+        payload['process_id'] = process_id
+        return await self.box_service.start_managed_process(self.session_id, payload)
+
+    async def get_managed_process(self, process_id: str = 'default'):
+        return await self.box_service.get_managed_process(self.session_id, process_id)
+
+    async def stop_managed_process(self, process_id: str = 'default') -> None:
+        await self.box_service.stop_managed_process(self.session_id, process_id)
+
+    def get_managed_process_websocket_url(self, process_id: str = 'default') -> str:
+        return self.box_service.get_managed_process_websocket_url(self.session_id, process_id)
+
+    async def cleanup(self) -> None:
+        await self.box_service.client.delete_session(self.session_id)

src/langbot/pkg/core/app.py

@@ -9,6 +9,7 @@ from ..platform import botmgr as im_mgr
 from ..platform.webhook_pusher import WebhookPusher
 from ..provider.session import sessionmgr as llm_session_mgr
 from ..provider.modelmgr import modelmgr as llm_model_mgr
+from ..box import service as box_service_module
 
 from langbot.pkg.provider.tools import toolmgr as llm_tool_mgr
 from ..config import manager as config_mgr
@@ -31,8 +32,8 @@ from ..api.http.service import mcp as mcp_service
 from ..api.http.service import apikey as apikey_service
 from ..api.http.service import webhook as webhook_service
 from ..api.http.service import monitoring as monitoring_service
+from ..api.http.service import skill as skill_service
 from ..api.http.service import maintenance as maintenance_service
-
 from ..discover import engine as discover_engine
 from ..storage import mgr as storagemgr
 from ..utils import logcache
@@ -43,6 +44,7 @@ from ..rag.service import RAGRuntimeService
 from ..vector import mgr as vectordb_mgr
 from ..telemetry import telemetry as telemetry_module
 from ..survey import manager as survey_module
+from ..skill import manager as skill_mgr
 
 
 class Application:
@@ -70,6 +72,7 @@ class Application:
 
     # TODO move to pipeline
     tool_mgr: llm_tool_mgr.ToolManager = None
+    box_service: box_service_module.BoxService = None
 
     # ======= Config manager =======
 
@@ -156,6 +159,10 @@ class Application:
 
     monitoring_service: monitoring_service.MonitoringService = None
 
+    skill_service: skill_service.SkillService = None
+
+    skill_mgr: skill_mgr.SkillManager = None
+
     maintenance_service: maintenance_service.MaintenanceService = None
 
     def __init__(self):
@@ -301,7 +308,10 @@ class Application:
         return parsed
 
     def dispose(self):
-        self.plugin_connector.dispose()
+        if self.plugin_connector is not None:
+            self.plugin_connector.dispose()
+        if self.box_service is not None:
+            self.box_service.dispose()
 
     async def print_web_access_info(self):
         """Print access webui tips"""

src/langbot/pkg/core/boot.py

@@ -46,12 +46,14 @@ async def make_app(loop: asyncio.AbstractEventLoop) -> app.Application:
 
 
 async def main(loop: asyncio.AbstractEventLoop):
+    app_inst: app.Application | None = None
     try:
         # Hang system signal processing
         import signal
 
         def signal_handler(sig, frame):
-            app_inst.dispose()
+            if app_inst is not None:
+                app_inst.dispose()
             print('[Signal] Program exit.')
             os._exit(0)
 
@@ -60,4 +62,6 @@ async def main(loop: asyncio.AbstractEventLoop):
         app_inst = await make_app(loop)
         await app_inst.run()
     except Exception:
+        if app_inst is not None:
+            app_inst.dispose()
         traceback.print_exc()

src/langbot/pkg/core/bootutils/log.py

@@ -1,5 +1,6 @@
 import logging
 import logging.handlers
+import os
 import sys
 import time
 
@@ -20,6 +21,66 @@ log_colors_config = {
 LOG_FILE_MAX_BYTES = 10 * 1024 * 1024  # 10MB per file
 LOG_FILE_BACKUP_COUNT = 5  # Keep 5 backup files (total ~50MB max)
 
+LOG_DIR = 'data/logs'
+
+
+class DailyGroupedRotatingFileHandler(logging.handlers.RotatingFileHandler):
+    """File handler that writes to ``data/logs/langbot-YYYY-MM-DD.log``.
+
+    It combines two rotation triggers:
+
+    * **Size** — within a single day the file is rotated once it exceeds
+      ``maxBytes``, producing numbered backups (``langbot-DATE.log.1`` etc.),
+      exactly like :class:`~logging.handlers.RotatingFileHandler`.
+    * **Date** — when the local date changes, logging switches to a fresh
+      ``langbot-<new date>.log`` file. This happens even within a single
+      long-running process, so a bot started on day N keeps writing to that
+      day's file and rolls over to day N+1's file at midnight, instead of
+      appending every subsequent day's logs to the start-day file.
+
+    The on-disk naming stays compatible with the log-retention cleanup in
+    ``api/http/service/maintenance.py`` (``LOG_FILE_PATTERN``).
+    """
+
+    def __init__(self, log_dir: str, max_bytes: int, backup_count: int, encoding: str = 'utf-8'):
+        self.log_dir = log_dir
+        self._current_date = self._today()
+        super().__init__(
+            self._build_path(self._current_date),
+            maxBytes=max_bytes,
+            backupCount=backup_count,
+            encoding=encoding,
+        )
+
+    @staticmethod
+    def _today() -> str:
+        return time.strftime('%Y-%m-%d', time.localtime())
+
+    def _build_path(self, date_str: str) -> str:
+        return os.path.join(self.log_dir, 'langbot-%s.log' % date_str)
+
+    def shouldRollover(self, record):
+        # Roll over when the day changes, regardless of file size.
+        if self._today() != self._current_date:
+            return True
+        return super().shouldRollover(record)
+
+    def doRollover(self):
+        today = self._today()
+        if today != self._current_date:
+            # Date changed: point the handler at the new day's file.
+            # This is a date switch, not a size-based numbered rotation.
+            if self.stream:
+                self.stream.close()
+                self.stream = None
+            self._current_date = today
+            self.baseFilename = os.path.abspath(self._build_path(today))
+            if not self.delay:
+                self.stream = self._open()
+        else:
+            # Same day, file exceeded maxBytes: numbered rotation.
+            super().doRollover()
+
 
 async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.Logger:
     # Remove all existing loggers
@@ -31,8 +92,6 @@ async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.
     if constants.debug_mode:
         level = logging.DEBUG
 
-    log_file_name = 'data/logs/langbot-%s.log' % time.strftime('%Y-%m-%d', time.localtime())
-
     qcg_logger = logging.getLogger('langbot')
 
     qcg_logger.setLevel(level)
@@ -48,12 +107,13 @@ async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.
     # stream_handler.setFormatter(color_formatter)
     stream_handler.stream = open(sys.stdout.fileno(), mode='w', encoding='utf-8', buffering=1)
 
-    # Use RotatingFileHandler to prevent unbounded log file growth
-    rotating_file_handler = logging.handlers.RotatingFileHandler(
-        log_file_name,
+    # Rotate by size within a day and switch files when the date changes,
+    # so long-running processes still produce a log file for the current day.
+    rotating_file_handler = DailyGroupedRotatingFileHandler(
+        LOG_DIR,
+        max_bytes=LOG_FILE_MAX_BYTES,
+        backup_count=LOG_FILE_BACKUP_COUNT,
         encoding='utf-8',
-        maxBytes=LOG_FILE_MAX_BYTES,
-        backupCount=LOG_FILE_BACKUP_COUNT,
     )
 
     log_handlers: list[logging.Handler] = [

src/langbot/pkg/core/migrations/m042_weknora_api.py

@@ -0,0 +1,27 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class('weknora-api-config', 42)
+class WeKnoraAPICfgMigration(migration.Migration):
+    """WeKnora API 配置迁移"""
+
+    async def need_migrate(self) -> bool:
+        """判断当前环境是否需要运行此迁移"""
+        return 'weknora-api' not in self.ap.provider_cfg.data
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.provider_cfg.data['weknora-api'] = {
+            'base-url': 'http://localhost:8080/api/v1',
+            'app-type': 'agent',
+            'api-key': '',
+            'agent-id': 'builtin-smart-reasoning',
+            'knowledge-base-ids': [],
+            'web-search-enabled': False,
+            'timeout': 120,
+            'base-prompt': '请回答用户的问题。',
+        }
+
+        await self.ap.provider_cfg.dump_config()

src/langbot/pkg/core/migrations/m043_deerflow_api.py

@@ -0,0 +1,30 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class('deerflow-api-config', 43)
+class DeerFlowAPICfgMigration(migration.Migration):
+    """DeerFlow API 配置迁移"""
+
+    async def need_migrate(self) -> bool:
+        """判断当前环境是否需要运行此迁移"""
+        return 'deerflow-api' not in self.ap.provider_cfg.data
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.provider_cfg.data['deerflow-api'] = {
+            'api-base': 'http://127.0.0.1:2026',
+            'api-key': '',
+            'auth-header': '',
+            'assistant-id': 'lead_agent',
+            'model-name': '',
+            'thinking-enabled': False,
+            'plan-mode': False,
+            'subagent-enabled': False,
+            'max-concurrent-subagents': 3,
+            'timeout': 300,
+            'recursion-limit': 1000,
+        }
+
+        await self.ap.provider_cfg.dump_config()

src/langbot/pkg/core/stages/build_app.py

@@ -6,6 +6,7 @@ from .. import stage, app
 from ...utils import version, proxy
 from ...pipeline import pool, controller, pipelinemgr
 from ...pipeline import aggregator as message_aggregator
+from ...box import service as box_service
 from ...plugin import connector as plugin_connector
 from ...command import cmdmgr
 from ...provider.session import sessionmgr as llm_session_mgr
@@ -28,6 +29,8 @@ from ...api.http.service import mcp as mcp_service
 from ...api.http.service import apikey as apikey_service
 from ...api.http.service import webhook as webhook_service
 from ...api.http.service import monitoring as monitoring_service
+from ...api.http.service import skill as skill_service
+from ...skill import manager as skill_mgr
 from ...api.http.service import maintenance as maintenance_service
 from ...discover import engine as discover_engine
 from ...storage import mgr as storagemgr
@@ -86,6 +89,9 @@ class BuildAppStage(stage.BootingStage):
         webhook_service_inst = webhook_service.WebhookService(ap)
         ap.webhook_service = webhook_service_inst
 
+        skill_service_inst = skill_service.SkillService(ap)
+        ap.skill_service = skill_service_inst
+
         proxy_mgr = proxy.ProxyManager(ap)
         await proxy_mgr.initialize()
         ap.proxy_mgr = proxy_mgr
@@ -129,6 +135,10 @@ class BuildAppStage(stage.BootingStage):
         await llm_session_mgr_inst.initialize()
         ap.sess_mgr = llm_session_mgr_inst
 
+        box_service_inst = box_service.BoxService(ap)
+        await box_service_inst.initialize()
+        ap.box_service = box_service_inst
+
         llm_tool_mgr_inst = llm_tool_mgr.ToolManager(ap)
         await llm_tool_mgr_inst.initialize()
         ap.tool_mgr = llm_tool_mgr_inst
@@ -149,6 +159,11 @@ class BuildAppStage(stage.BootingStage):
         msg_aggregator_inst = message_aggregator.MessageAggregator(ap)
         ap.msg_aggregator = msg_aggregator_inst
 
+        # Initialize skill manager
+        skill_mgr_inst = skill_mgr.SkillManager(ap)
+        await skill_mgr_inst.initialize()
+        ap.skill_mgr = skill_mgr_inst
+
         rag_mgr_inst = rag_mgr.RAGManager(ap)
         await rag_mgr_inst.initialize()
         ap.rag_mgr = rag_mgr_inst

src/langbot/pkg/entity/persistence/mcp.py

@@ -11,6 +11,10 @@ class MCPServer(Base):
     enable = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=False)
     mode = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)  # stdio, sse, http
     extra_args = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
+    # Markdown documentation captured from LangBot Space at install time so the
+    # detail page can show docs even when the server is offline / has no tools.
+    # Empty string for manually-created servers that have no marketplace README.
+    readme = sqlalchemy.Column(sqlalchemy.Text, nullable=False, server_default='', default='')
     created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
     updated_at = sqlalchemy.Column(
         sqlalchemy.DateTime,

src/langbot/pkg/persistence/alembic/versions/0004_add_mcp_readme.py

@@ -0,0 +1,34 @@
+"""add readme column to mcp_servers
+
+Revision ID: 0004_add_mcp_readme
+Revises: 0003_add_rerank_models
+Create Date: 2026-06-06
+"""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = '0004_add_mcp_readme'
+down_revision = '0003_add_rerank_models'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # Add ``readme`` to mcp_servers if the table exists and the column is missing
+    # (the table may have been created by create_all() with the column already
+    # present on fresh installs, so guard against duplicate-add).
+    conn = op.get_bind()
+    inspector = sa.inspect(conn)
+    if 'mcp_servers' not in inspector.get_table_names():
+        return
+    columns = {col['name'] for col in inspector.get_columns('mcp_servers')}
+    if 'readme' not in columns:
+        op.add_column(
+            'mcp_servers',
+            sa.Column('readme', sa.Text(), nullable=False, server_default=''),
+        )
+
+
+def downgrade() -> None:
+    op.drop_column('mcp_servers', 'readme')

src/langbot/pkg/pipeline/aggregator.py

@@ -275,6 +275,7 @@ class MessageAggregator:
             message_chain=merged_chain,
             adapter=base_msg.adapter,
             pipeline_uuid=base_msg.pipeline_uuid,
+            routed_by_rule=any(msg.routed_by_rule for msg in messages),
         )
 
     async def flush_all(self) -> None:

src/langbot/pkg/pipeline/longtext/longtext.py

@@ -76,6 +76,10 @@ class LongTextProcessStage(stage.PipelineStage):
             self.ap.logger.debug('Long message processing strategy is not set, skip long message processing.')
             return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
 
+        if not query.resp_message_chain:
+            self.ap.logger.debug('Response message chain is empty, skip long message processing.')
+            return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
+
         # 检查是否包含非 Plain 组件
         contains_non_plain = False
 

src/langbot/pkg/pipeline/pool.py

@@ -63,6 +63,7 @@ class QueryPool:
             self.cached_queries[query_id] = query
             self.query_id_counter += 1
             self.condition.notify_all()
+            return query
 
     async def __aenter__(self):
         await self.pool_lock.acquire()

src/langbot/pkg/pipeline/preproc/preproc.py

@@ -32,6 +32,9 @@ class PreProcessor(stage.PipelineStage):
     ) -> entities.StageProcessResult:
         """Process"""
         selected_runner = query.pipeline_config['ai']['runner']['runner']
+        include_skill_authoring = (
+            selected_runner == 'local-agent' and getattr(self.ap, 'skill_service', None) is not None
+        )
 
         session = await self.ap.sess_mgr.get_session(query)
 
@@ -110,7 +113,11 @@ class PreProcessor(stage.PipelineStage):
                     # Get bound plugins and MCP servers for filtering tools
                     bound_plugins = query.variables.get('_pipeline_bound_plugins', None)
                     bound_mcp_servers = query.variables.get('_pipeline_bound_mcp_servers', None)
-                    query.use_funcs = await self.ap.tool_mgr.get_all_tools(bound_plugins, bound_mcp_servers)
+                    query.use_funcs = await self.ap.tool_mgr.get_all_tools(
+                        bound_plugins,
+                        bound_mcp_servers,
+                        include_skill_authoring=include_skill_authoring,
+                    )
 
                     self.ap.logger.debug(f'Bound plugins: {bound_plugins}')
                     self.ap.logger.debug(f'Bound MCP servers: {bound_mcp_servers}')
@@ -121,7 +128,11 @@ class PreProcessor(stage.PipelineStage):
             if not query.use_funcs and query.variables.get('_fallback_model_uuids'):
                 bound_plugins = query.variables.get('_pipeline_bound_plugins', None)
                 bound_mcp_servers = query.variables.get('_pipeline_bound_mcp_servers', None)
-                query.use_funcs = await self.ap.tool_mgr.get_all_tools(bound_plugins, bound_mcp_servers)
+                query.use_funcs = await self.ap.tool_mgr.get_all_tools(
+                    bound_plugins,
+                    bound_mcp_servers,
+                    include_skill_authoring=include_skill_authoring,
+                )
 
         sender_name = ''
 
@@ -248,4 +259,67 @@ class PreProcessor(stage.PipelineStage):
         query.prompt.messages = event_ctx.event.default_prompt
         query.messages = event_ctx.event.prompt
 
+        # =========== Skill awareness for the local-agent runner ===========
+        # The actual activation goes through the ``activate`` Tool Call so the
+        # LLM doesn't see full SKILL.md instructions until it commits to a
+        # skill (Claude Code's progressive disclosure). But the LLM still has
+        # to KNOW which skills exist to make that choice, so we:
+        #   1. resolve the pipeline's bound skills and stash them in
+        #      ``query.variables['_pipeline_bound_skills']`` for downstream
+        #      visibility checks (skill loader, native exec workdir);
+        #   2. inject a short ``Available Skills`` index (name + description
+        #      only) into the system prompt. The contributor's original PR
+        #      relied on this injection; without it the LLM never discovers
+        #      the skills are there and just calls native tools instead.
+        if selected_runner == 'local-agent' and self.ap.skill_mgr:
+            pipeline_data = await self.ap.pipeline_service.get_pipeline(query.pipeline_uuid)
+            extensions_prefs = (pipeline_data or {}).get('extensions_preferences', {})
+            enable_all_skills = extensions_prefs.get('enable_all_skills', True)
+
+            if enable_all_skills:
+                bound_skills = None  # None = all loaded skills are visible
+            else:
+                bound_skills = extensions_prefs.get('skills', [])
+
+            query.variables['_pipeline_bound_skills'] = bound_skills
+
+            skill_addition = self.ap.skill_mgr.build_skill_aware_prompt_addition(
+                bound_skills=bound_skills,
+            )
+            if skill_addition:
+                # Append to the first system message; create one if the
+                # prompt has none. Handles both plain-string and
+                # content-element (list) message bodies.
+                if query.prompt.messages and query.prompt.messages[0].role == 'system':
+                    head = query.prompt.messages[0]
+                    if isinstance(head.content, str):
+                        head.content = head.content + skill_addition
+                    elif isinstance(head.content, list):
+                        appended = False
+                        for ce in head.content:
+                            if getattr(ce, 'type', None) == 'text':
+                                ce.text = (ce.text or '') + skill_addition
+                                appended = True
+                                break
+                        if not appended:
+                            head.content.append(provider_message.ContentElement(type='text', text=skill_addition))
+                else:
+                    query.prompt.messages.insert(
+                        0,
+                        provider_message.Message(role='system', content=skill_addition.strip()),
+                    )
+                self.ap.logger.debug(
+                    f'Skill index injected into system prompt: '
+                    f'pipeline={query.pipeline_uuid} '
+                    f'bound_skills={bound_skills or "all"} '
+                    f'loaded_skills={len(self.ap.skill_mgr.skills)}'
+                )
+            else:
+                self.ap.logger.debug(
+                    f'No skills available for prompt injection: '
+                    f'pipeline={query.pipeline_uuid} '
+                    f'loaded_skills={len(self.ap.skill_mgr.skills)} '
+                    f'bound_skills={bound_skills}'
+                )
+
         return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)

src/langbot/pkg/pipeline/process/handler.py

@@ -5,6 +5,7 @@ import abc
 from ...core import app
 from .. import entities
 import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+import langbot_plugin.api.entities.builtin.provider.message as provider_message
 
 
 class MessageHandler(metaclass=abc.ABCMeta):
@@ -31,3 +32,29 @@ class MessageHandler(metaclass=abc.ABCMeta):
         if len(s0) > 20 or '\n' in s:
             s0 = s0[:20] + '...'
         return s0
+
+    def format_result_log(
+        self,
+        result: provider_message.Message | provider_message.MessageChunk,
+    ) -> str | None:
+        if result.tool_calls:
+            tool_names = [tc.function.name for tc in result.tool_calls if tc.function and tc.function.name]
+            if tool_names:
+                return f'{result.role}: requested tools: {", ".join(tool_names)}'
+            return f'{result.role}: requested tool calls'
+
+        content = result.content
+        if isinstance(content, str):
+            if not content.strip():
+                return None
+
+            if result.role == 'tool':
+                if content.startswith('err:'):
+                    return f'tool error: {self.cut_str(content)}'
+
+            return self.cut_str(result.readable_str())
+
+        if isinstance(content, list) and len(content) == 0:
+            return None
+
+        return self.cut_str(result.readable_str())

src/langbot/pkg/pipeline/process/handlers/chat.py

@@ -113,9 +113,11 @@ class ChatMessageHandler(handler.MessageHandler):
                         # This prevents memory overflow from thousands of log entries per conversation
                         # First chunk uses INFO level to confirm connection establishment
                         if chunk_count == 1:
-                            self.ap.logger.info(
-                                f'Conversation({query.query_id}) Streaming started: {self.cut_str(result.readable_str())}'
-                            )
+                            summary = self.format_result_log(result)
+                            if summary is not None:
+                                self.ap.logger.info(f'Conversation({query.query_id}) Streaming started: {summary}')
+                            else:
+                                self.ap.logger.info(f'Conversation({query.query_id}) Streaming started')
                         elif chunk_count % 10 == 0:
                             self.ap.logger.debug(
                                 f'Conversation({query.query_id}) Streaming chunk {chunk_count}: {self.cut_str(result.readable_str())}'
@@ -135,9 +137,9 @@ class ChatMessageHandler(handler.MessageHandler):
                     async for result in runner.run(query):
                         query.resp_messages.append(result)
 
-                        self.ap.logger.info(
-                            f'Conversation({query.query_id}) Response: {self.cut_str(result.readable_str())}'
-                        )
+                        summary = self.format_result_log(result)
+                        if summary is not None:
+                            self.ap.logger.info(f'Conversation({query.query_id}) Response: {summary}')
 
                         if result.content is not None:
                             text_length += len(result.content)

src/langbot/pkg/platform/sources/aiocqhttp.py

@@ -3,6 +3,7 @@ import typing
 import asyncio
 import traceback
 import datetime
+import json
 
 import aiocqhttp
 import pydantic
@@ -293,6 +294,29 @@ class AiocqhttpMessageConverter(abstract_platform_adapter.AbstractMessageConvert
             elif msg.type == 'dice':
                 face_id = msg.data['result']
                 yiri_msg_list.append(platform_message.Face(face_type='dice', face_id=int(face_id), face_name='骰子'))
+            elif msg.type == 'json':
+                try:
+                    raw = msg.data.get('data', {})
+                    if isinstance(raw, str):
+                        raw = json.loads(raw)
+                    if isinstance(raw, dict):
+                        _meta = raw.get('meta', {}) or {}
+                        if isinstance(_meta, dict):
+                            _detail = _meta.get('detail_1') or _meta.get('music') or _meta.get('news') or {}
+                        else:
+                            _detail = {}
+                        if isinstance(_detail, dict):
+                            preview = _detail.get('preview', '')
+                            title = _detail.get('desc', '') or _detail.get('title', '')
+                            url = _detail.get('qqdocurl', '') or _detail.get('jumpUrl', '')
+                        else:
+                            preview = title = url = ''
+                        text = ' '.join([f'[{raw.get("app", "")}]', preview, title, url]).strip()
+                        yiri_msg_list.append(platform_message.Plain(text=text or '[收到一张JSON卡片]'))
+                    else:
+                        yiri_msg_list.append(platform_message.Plain(text=str(raw)))
+                except Exception:
+                    yiri_msg_list.append(platform_message.Plain(text='[收到一张JSON卡片]'))
 
         chain = platform_message.MessageChain(yiri_msg_list)
 

src/langbot/pkg/platform/sources/dingtalk.yaml

@@ -19,6 +19,18 @@ spec:
     en: https://link.langbot.app/en/platforms/dingtalk
     ja: https://link.langbot.app/ja/platforms/dingtalk
   config:
+    - name: one-click-create
+      label:
+        en_US: One-Click Create App
+        zh_Hans: 一键创建应用
+        zh_Hant: 一鍵建立應用
+      description:
+        en_US: "Scan QR code with DingTalk to automatically create an app and fill in credentials. Note: Robot Code cannot be obtained automatically, you need to copy it from the DingTalk Developer Backend manually."
+        zh_Hans: "使用钉钉扫码自动创建应用并填写凭据。注意：机器人代码无法自动获取，需前往钉钉开发者后台手动复制。"
+        zh_Hant: "使用釘釘掃碼自動建立應用並填寫憑證。注意：機器人代碼無法自動取得，需前往釘釘開發者後台手動複製。"
+      type: qr-code-login
+      login_platform: dingtalk
+      required: false
     - name: client_id
       label:
         en_US: Client ID
@@ -40,6 +52,10 @@ spec:
         en_US: Robot Code
         zh_Hans: 机器人代码
         zh_Hant: 機器人代碼
+      description:
+        en_US: "Required for image recognition, file upload and other features. Get it from DingTalk Developer Backend > Robot Configuration."
+        zh_Hans: "识图、上传文件等功能必填。请前往钉钉开发者后台 > 机器人配置中获取。"
+        zh_Hant: "識圖、上傳檔案等功能必填。請前往釘釘開發者後台 > 機器人設定中取得。"
       type: string
       required: true
       default: ""

src/langbot/pkg/platform/sources/lark.py

@@ -881,7 +881,8 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
 
         bot_account_id = config['bot_name']
 
-        bot = lark_oapi.ws.Client(config['app_id'], config['app_secret'], event_handler=event_handler)
+        domain = self._resolve_domain(config)
+        bot = lark_oapi.ws.Client(config['app_id'], config['app_secret'], event_handler=event_handler, domain=domain)
         api_client = self.build_api_client(config)
         cipher = AESCipher(config.get('encrypt-key', ''))
         self.request_app_ticket(api_client, config)
@@ -1014,18 +1015,116 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
 
         return None
 
+    @staticmethod
+    def _resolve_domain(config) -> str:
+        domain = config.get('domain', lark_oapi.FEISHU_DOMAIN)
+        if domain == 'custom':
+            domain = config.get('custom_domain', '')
+            if not domain:
+                raise ValueError('Custom domain is required when domain is set to "custom"')
+        return domain.rstrip('/')
+
     def build_api_client(self, config):
         app_id = config['app_id']
         app_secret = config['app_secret']
-        api_client = lark_oapi.Client.builder().app_id(app_id).app_secret(app_secret).build()
+        domain = self._resolve_domain(config)
+        api_client = lark_oapi.Client.builder().app_id(app_id).app_secret(app_secret).domain(domain).build()
         if 'isv' == config.get('app_type', 'self'):
             api_client = (
-                lark_oapi.Client.builder().app_id(app_id).app_secret(app_secret).app_type(lark_oapi.AppType.ISV).build()
+                lark_oapi.Client.builder()
+                .app_id(app_id)
+                .app_secret(app_secret)
+                .app_type(lark_oapi.AppType.ISV)
+                .domain(domain)
+                .build()
             )
         return api_client
 
     async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
-        pass
+        text_elements, media_items = await self.message_converter.yiri2target(message, self.api_client)
+
+        # Map standard target_type to Feishu receive_id_type
+        if target_type == 'person':
+            receive_id_type = 'open_id'
+        elif target_type == 'group':
+            receive_id_type = 'chat_id'
+        else:
+            receive_id_type = target_type
+
+        # Send text message if there are text elements
+        if text_elements:
+            needs_post = any(ele['tag'] == 'at' for paragraph in text_elements for ele in paragraph)
+
+            if needs_post:
+                msg_type = 'post'
+                final_content = json.dumps(
+                    {
+                        'zh_Hans': {
+                            'title': '',
+                            'content': text_elements,
+                        },
+                    }
+                )
+            else:
+                msg_type = 'text'
+                parts = []
+                for paragraph in text_elements:
+                    para_text = ''.join(ele.get('text', '') for ele in paragraph)
+                    if para_text:
+                        parts.append(para_text)
+                final_content = json.dumps({'text': '\n\n'.join(parts)})
+
+            request: CreateMessageRequest = (
+                CreateMessageRequest.builder()
+                .receive_id_type(receive_id_type)
+                .request_body(
+                    CreateMessageRequestBody.builder()
+                    .receive_id(target_id)
+                    .content(final_content)
+                    .msg_type(msg_type)
+                    .uuid(str(uuid.uuid4()))
+                    .build()
+                )
+                .build()
+            )
+
+            app_access_token = self.get_app_access_token()
+            req_opt: RequestOption = (
+                RequestOption.builder().app_ticket(self.app_ticket).app_access_token(app_access_token).build()
+            )
+            response: CreateMessageResponse = self.api_client.im.v1.message.create(request, req_opt)
+
+            if not response.success():
+                raise Exception(
+                    f'client.im.v1.message.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
+                )
+
+        # Send media messages separately (image, audio, file, etc.)
+        for media in media_items:
+            request: CreateMessageRequest = (
+                CreateMessageRequest.builder()
+                .receive_id_type(receive_id_type)
+                .request_body(
+                    CreateMessageRequestBody.builder()
+                    .receive_id(target_id)
+                    .content(json.dumps(media['content']))
+                    .msg_type(media['msg_type'])
+                    .uuid(str(uuid.uuid4()))
+                    .build()
+                )
+                .build()
+            )
+
+            app_access_token = self.get_app_access_token()
+            req_opt: RequestOption = (
+                RequestOption.builder().app_ticket(self.app_ticket).app_access_token(app_access_token).build()
+            )
+            response: CreateMessageResponse = self.api_client.im.v1.message.create(request, req_opt)
+
+            if not response.success():
+                raise Exception(
+                    f'client.im.v1.message.create ({media["msg_type"]}) failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
+                )
 
     async def is_stream_output_supported(self) -> bool:
         is_stream = False

src/langbot/pkg/platform/sources/lark.yaml

@@ -23,6 +23,71 @@ spec:
     en: https://link.langbot.app/en/platforms/lark
     ja: https://link.langbot.app/ja/platforms/lark
   config:
+    - name: domain
+      label:
+        en_US: Platform Domain
+        zh_Hans: 平台域名
+        zh_Hant: 平台域名
+        ja_JP: プラットフォームドメイン
+      description:
+        en_US: Select the open platform domain. Use Feishu for Chinese mainland, Lark for international
+        zh_Hans: 选择开放平台域名，国内使用飞书，海外使用 Lark
+        zh_Hant: 選擇開放平台域名，國內使用飛書，海外使用 Lark
+        ja_JP: オープンプラットフォームのドメインを選択。中国国内は飛書、海外は Lark を使用
+      type: select
+      options:
+        - name: https://open.feishu.cn
+          label:
+            en_US: Feishu (open.feishu.cn)
+            zh_Hans: 飞书 (open.feishu.cn)
+            zh_Hant: 飛書 (open.feishu.cn)
+            ja_JP: 飛書 (open.feishu.cn)
+        - name: https://open.larksuite.com
+          label:
+            en_US: Lark (open.larksuite.com)
+            zh_Hans: Lark (open.larksuite.com)
+            zh_Hant: Lark (open.larksuite.com)
+            ja_JP: Lark (open.larksuite.com)
+        - name: custom
+          label:
+            en_US: Custom
+            zh_Hans: 自定义
+            zh_Hant: 自定義
+            ja_JP: カスタム
+      required: false
+      default: https://open.feishu.cn
+    - name: custom_domain
+      label:
+        en_US: Custom Domain
+        zh_Hans: 自定义域名
+        zh_Hant: 自定義域名
+        ja_JP: カスタムドメイン
+      description:
+        en_US: "Enter the full domain URL, e.g. https://open.example.com"
+        zh_Hans: "输入完整的域名 URL，例如 https://open.example.com"
+        zh_Hant: "輸入完整的域名 URL，例如 https://open.example.com"
+        ja_JP: "完全なドメイン URL を入力（例: https://open.example.com）"
+      type: string
+      required: false
+      default: ""
+      show_if:
+        field: domain
+        operator: eq
+        value: custom
+    - name: one-click-create
+      label:
+        en_US: One-Click Create App
+        zh_Hans: 一键创建应用
+        zh_Hant: 一鍵建立應用
+        ja_JP: ワンクリックでアプリ作成
+      description:
+        en_US: Scan QR code to automatically create a Feishu app and fill in credentials
+        zh_Hans: 扫码自动创建飞书应用并填写凭据
+        zh_Hant: 掃碼自動建立飛書應用並填寫憑證
+        ja_JP: QRコードをスキャンしてFeishuアプリを自動作成し、認証情報を入力
+      type: qr-code-login
+      login_platform: feishu
+      required: false
     - name: app_id
       label:
         en_US: App ID
@@ -126,10 +191,10 @@ spec:
         zh_Hant: 應用類型
         ja_JP: アプリタイプ
       description:
-        en_US: Default to self-built application, refer to https://open.feishu.cn/document/platform-overveiw/overview
-        zh_Hans: 默认为企业自建应用，参考 https://open.feishu.cn/document/platform-overveiw/overview
-        zh_Hant: 預設為企業自建應用，參考 https://open.feishu.cn/document/platform-overveiw/overview
-        ja_JP: デフォルトはカスタムアプリです。詳細は https://open.feishu.cn/document/platform-overveiw/overview を参照してください
+        en_US: "Default to self-built application, refer to https://open.feishu.cn/document/platform-overveiw/overview"
+        zh_Hans: "默认为企业自建应用，参考 https://open.feishu.cn/document/platform-overveiw/overview"
+        zh_Hant: "預設為企業自建應用，參考 https://open.feishu.cn/document/platform-overveiw/overview"
+        ja_JP: "デフォルトはカスタムアプリです。詳細は https://open.feishu.cn/document/platform-overveiw/overview を参照してください"
       type: select
       options:
         - name: self

src/langbot/pkg/platform/sources/officialaccount.yaml

@@ -31,6 +31,18 @@ spec:
       type: webhook-url
       required: false
       default: ""
+    - name: __system.outbound_ips
+      label:
+        en_US: IP Whitelist
+        zh_Hans: IP 白名单
+        zh_Hant: IP 白名單
+      description:
+        en_US: Add these outbound IPs of the LangBot server to the IP whitelist in the "Basic Configuration" of the WeChat Official Account platform
+        zh_Hans: 请将这些 LangBot 服务器的出网 IP 添加到微信公众平台「基本配置」中的 IP 白名单
+        zh_Hant: 請將這些 LangBot 伺服器的出網 IP 加入微信公眾平台「基本配置」中的 IP 白名單
+      type: array[string]
+      required: false
+      default: []
     - name: token
       label:
         en_US: Token

src/langbot/pkg/platform/sources/openclaw_weixin.yaml

@@ -32,6 +32,20 @@ spec:
       type: string
       required: true
       default: "https://ilinkai.weixin.qq.com"
+    - name: qr-login
+      label:
+        en_US: Scan QR Login
+        zh_Hans: 扫码登录
+        zh_Hant: 掃碼登入
+        ja_JP: QRコードでログイン
+      description:
+        en_US: Scan QR code with WeChat to authorize and automatically fill in the token
+        zh_Hans: 使用微信扫码授权，自动填写令牌
+        zh_Hant: 使用微信掃碼授權，自動填寫令牌
+        ja_JP: WeChatでQRコードをスキャンし、トークンを自動入力
+      type: qr-code-login
+      login_platform: weixin
+      required: false
     - name: token
       label:
         en_US: Token

src/langbot/pkg/platform/sources/qqofficial.yaml

@@ -19,6 +19,18 @@ spec:
     en: https://link.langbot.app/en/platforms/qqofficial
     ja: https://link.langbot.app/ja/platforms/qqofficial
   config:
+    - name: __system.outbound_ips
+      label:
+        en_US: IP Whitelist
+        zh_Hans: IP 白名单
+        zh_Hant: IP 白名單
+      description:
+        en_US: Add these outbound IPs of the LangBot server to the IP whitelist in the development settings of the QQ Open Platform
+        zh_Hans: 请将这些 LangBot 服务器的出网 IP 添加到 QQ 开放平台开发设置中的 IP 白名单
+        zh_Hant: 請將這些 LangBot 伺服器的出網 IP 加入 QQ 開放平台開發設定中的 IP 白名單
+      type: array[string]
+      required: false
+      default: []
     - name: appid
       label:
         en_US: App ID

src/langbot/pkg/platform/sources/web_page_bot_adapter.py

@@ -27,10 +27,7 @@ class WebPageBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
     listeners: dict = pydantic.Field(default_factory=dict, exclude=True)
     _ws_adapter: typing.Any = None
 
-    class Config:
-        arbitrary_types_allowed = True
-        # Allow private attributes
-        underscore_attrs_are_private = True
+    model_config = pydantic.ConfigDict(arbitrary_types_allowed=True)
 
     def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
         super().__init__(config=config, logger=logger, **kwargs)

src/langbot/pkg/platform/sources/wecom.yaml

@@ -32,6 +32,18 @@ spec:
       type: webhook-url
       required: false
       default: ""
+    - name: __system.outbound_ips
+      label:
+        en_US: Trusted IPs
+        zh_Hans: 企业可信 IP
+        zh_Hant: 企業可信 IP
+      description:
+        en_US: Add these outbound IPs of the LangBot server to the "Trusted Enterprise IPs" of your app in the WeCom admin console
+        zh_Hans: 请将这些 LangBot 服务器的出网 IP 添加到企业微信管理后台应用详情页的「企业可信 IP」中
+        zh_Hant: 請將這些 LangBot 伺服器的出網 IP 加入企業微信管理後台應用詳情頁的「企業可信 IP」中
+      type: array[string]
+      required: false
+      default: []
     - name: corpid
       label:
         en_US: Corpid

src/langbot/pkg/platform/sources/wecombot.yaml

@@ -19,6 +19,18 @@ spec:
     en: https://link.langbot.app/en/platforms/wecombot
     ja: https://link.langbot.app/ja/platforms/wecombot
   config:
+    - name: one-click-create
+      label:
+        en_US: One-Click Create Bot
+        zh_Hans: 一键创建机器人
+        zh_Hant: 一鍵建立機器人
+      description:
+        en_US: "Scan QR code with WeCom to automatically create a bot and fill in BotId and Secret. Note: Robot Name needs to be filled in manually."
+        zh_Hans: "使用企业微信扫码自动创建机器人并填写 BotId 和 Secret。注意：机器人名称需手动填写。"
+        zh_Hant: "使用企業微信掃碼自動建立機器人並填寫 BotId 和 Secret。注意：機器人名稱需手動填寫。"
+      type: qr-code-login
+      login_platform: wecombot
+      required: false
     - name: BotId
       label:
         en_US: BotId
@@ -63,6 +75,18 @@ spec:
         field: enable-webhook
         operator: eq
         value: true
+    - name: __system.outbound_ips
+      label:
+        en_US: Trusted IPs
+        zh_Hans: 企业可信 IP
+        zh_Hant: 企業可信 IP
+      description:
+        en_US: Add these outbound IPs of the LangBot server to the "Trusted Enterprise IPs" of the bot configuration in the WeCom admin console
+        zh_Hans: 请将这些 LangBot 服务器的出网 IP 添加到企业微信管理后台智能机器人配置的「企业可信 IP」中
+        zh_Hant: 請將這些 LangBot 伺服器的出網 IP 加入企業微信管理後台智慧機器人設定的「企業可信 IP」中
+      type: array[string]
+      required: false
+      default: []
     - name: Secret
       label:
         en_US: Secret

src/langbot/pkg/platform/sources/wecomcs.yaml

@@ -31,6 +31,18 @@ spec:
       type: webhook-url
       required: false
       default: ""
+    - name: __system.outbound_ips
+      label:
+        en_US: Trusted IPs
+        zh_Hans: 企业可信 IP
+        zh_Hant: 企業可信 IP
+      description:
+        en_US: Add these outbound IPs of the LangBot server to the "Trusted Enterprise IPs" of WeChat Customer Service in the WeCom admin console
+        zh_Hans: 请将这些 LangBot 服务器的出网 IP 添加到企业微信管理后台微信客服的「企业可信 IP」中
+        zh_Hant: 請將這些 LangBot 伺服器的出網 IP 加入企業微信管理後台微信客服的「企業可信 IP」中
+      type: array[string]
+      required: false
+      default: []
     - name: corpid
       label:
         en_US: Corpid

src/langbot/pkg/plugin/connector.py

@@ -11,12 +11,14 @@ import os
 import sys
 import httpx
 import sqlalchemy
+import yaml
 from async_lru import alru_cache
 from langbot_plugin.api.entities.builtin.pipeline.query import provider_session
 
 from ..core import app
 from . import handler
 from ..utils import platform
+from ..utils.managed_runtime import ManagedRuntimeConnector
 from langbot_plugin.runtime.io.controllers.stdio import (
     client as stdio_client_controller,
 )
@@ -34,10 +36,12 @@ from ..core import taskmgr
 from ..entity.persistence import plugin as persistence_plugin
 
 
-class PluginRuntimeConnector:
-    """Plugin runtime connector"""
+class PluginRuntimeNotConnectedError(RuntimeError):
+    """Raised when plugin runtime operations are requested before connection."""
 
-    ap: app.Application
+
+class PluginRuntimeConnector(ManagedRuntimeConnector):
+    """Plugin runtime connector"""
 
     handler: handler.RuntimeConnectionHandler
 
@@ -49,10 +53,6 @@ class PluginRuntimeConnector:
 
     ctrl: stdio_client_controller.StdioClientController | ws_client_controller.WebSocketClientController
 
-    runtime_subprocess_on_windows: asyncio.subprocess.Process | None = None
-
-    runtime_subprocess_on_windows_task: asyncio.Task | None = None
-
     runtime_disconnect_callback: typing.Callable[
         [PluginRuntimeConnector], typing.Coroutine[typing.Any, typing.Any, None]
     ]
@@ -67,7 +67,7 @@ class PluginRuntimeConnector:
             [PluginRuntimeConnector], typing.Coroutine[typing.Any, typing.Any, None]
         ],
     ):
-        self.ap = ap
+        super().__init__(ap)
         self.runtime_disconnect_callback = runtime_disconnect_callback
         self.is_enable_plugin = self.ap.instance_config.data.get('plugin', {}).get('enable', True)
 
@@ -103,6 +103,16 @@ class PluginRuntimeConnector:
 
             self.handler_task = asyncio.create_task(self.handler.run())
             _ = await self.handler.ping()
+            # Push the configured marketplace (Space) URL to the runtime so it
+            # downloads plugins from the same Space LangBot is bound to, rather
+            # than relying on the runtime's own env/default.
+            space_url = self.ap.instance_config.data.get('space', {}).get('url', '').rstrip('/')
+            if space_url:
+                try:
+                    await self.handler.set_runtime_config(cloud_service_url=space_url)
+                    self.ap.logger.info(f'Pushed marketplace URL to plugin runtime: {space_url}')
+                except Exception as e:
+                    self.ap.logger.warning(f'Failed to push runtime config: {e}')
             self.ap.logger.info('Connected to plugin runtime.')
             await self.handler_task
 
@@ -135,19 +145,7 @@ class PluginRuntimeConnector:
             # We have to launch runtime via cmd but communicate via ws.
             self.ap.logger.info('(windows) use cmd to launch plugin runtime and communicate via ws')
 
-            if self.runtime_subprocess_on_windows is None:  # only launch once
-                python_path = sys.executable
-                env = os.environ.copy()
-                self.runtime_subprocess_on_windows = await asyncio.create_subprocess_exec(
-                    python_path,
-                    '-m',
-                    'langbot_plugin.cli.__init__',
-                    'rt',
-                    env=env,
-                )
-
-                # hold the process
-                self.runtime_subprocess_on_windows_task = asyncio.create_task(self.runtime_subprocess_on_windows.wait())
+            await self._start_runtime_subprocess('-m', 'langbot_plugin.cli.__init__', 'rt')
 
             ws_url = 'ws://localhost:5400/control/ws'
 
@@ -191,44 +189,304 @@ class PluginRuntimeConnector:
 
     async def ping_plugin_runtime(self):
         if not hasattr(self, 'handler'):
-            raise Exception('Plugin runtime is not connected')
+            raise PluginRuntimeNotConnectedError('Plugin runtime is not connected')
 
         return await self.handler.ping()
 
-    def _extract_deps_metadata(
+    def _inspect_plugin_package(
         self,
         file_bytes: bytes,
         task_context: taskmgr.TaskContext | None,
-    ):
-        """Extract dependency count from requirements.txt inside plugin zip."""
-        if task_context is None:
-            return
+    ) -> tuple[str | None, str | None]:
+        """Extract plugin identity and dependency metadata from a plugin package."""
+        plugin_author = None
+        plugin_name = None
+
         try:
             with zipfile.ZipFile(io.BytesIO(file_bytes)) as zf:
-                for name in zf.namelist():
-                    if name.endswith('requirements.txt'):
-                        content = zf.read(name).decode('utf-8', errors='ignore')
-                        deps = [
-                            line.strip()
-                            for line in content.splitlines()
-                            if line.strip() and not line.strip().startswith('#')
-                        ]
-                        task_context.metadata['deps_total'] = len(deps)
-                        task_context.metadata['deps_list'] = deps
-                        break
+                try:
+                    manifest = yaml.safe_load(zf.read('manifest.yaml').decode('utf-8', errors='ignore')) or {}
+                    metadata = manifest.get('metadata', {})
+                    plugin_author = metadata.get('author')
+                    plugin_name = metadata.get('name')
+                except Exception:
+                    pass
+
+                if task_context is not None:
+                    for name in zf.namelist():
+                        if name.endswith('requirements.txt'):
+                            content = zf.read(name).decode('utf-8', errors='ignore')
+                            deps = [
+                                line.strip()
+                                for line in content.splitlines()
+                                if line.strip() and not line.strip().startswith('#')
+                            ]
+                            task_context.metadata['deps_total'] = len(deps)
+                            task_context.metadata['deps_list'] = deps
+                            break
         except Exception:
             pass
 
+        return plugin_author, plugin_name
+
+    async def _install_mcp_from_marketplace(
+        self,
+        mcp_data: dict[str, Any],
+        task_context: taskmgr.TaskContext | None = None,
+    ):
+        """Install an MCP server from marketplace data.
+
+        Marketplace MCP records carry the runtime-ready ``mode`` and
+        ``extra_args`` directly (the same shape LangBot stores in
+        ``mcp_servers``), so they are used as-is rather than reconstructed.
+        For ``stdio`` this preserves ``command``/``args``/``env``/``box``;
+        for ``http``/``sse`` it preserves ``url``/``headers``/``timeout``/
+        ``ssereadtimeout``.
+        """
+        from ..entity.persistence import mcp as persistence_mcp
+        import uuid
+
+        mode = mcp_data.get('mode') or 'stdio'
+        extra_args = mcp_data.get('extra_args') or {}
+        # Marketplace records carry the rendered README markdown; persist it so
+        # the detail page Docs tab works offline and without a marketplace round-trip.
+        readme = mcp_data.get('readme') or ''
+        # Use __ instead of / to avoid URL routing issues with slashes
+        name = f'{mcp_data.get("author", "")}__{mcp_data.get("name", "")}'
+
+        # Check if MCP server already exists
+        existing = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_mcp.MCPServer).where(persistence_mcp.MCPServer.name == name)
+        )
+        if existing.scalar_one_or_none():
+            self.ap.logger.info(f'MCP server {name} already exists, skipping installation')
+            return
+
+        # Create MCP server record
+        server_uuid = str(uuid.uuid4())
+        server_data = {
+            'uuid': server_uuid,
+            'name': name,
+            'enable': True,
+            'mode': mode,
+            'extra_args': extra_args,
+            'readme': readme,
+        }
+
+        await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_mcp.MCPServer).values(server_data))
+
+        # Start the MCP server
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_mcp.MCPServer).where(persistence_mcp.MCPServer.uuid == server_uuid)
+        )
+        server_entity = result.first()
+        if server_entity:
+            server_config = self.ap.persistence_mgr.serialize_model(persistence_mcp.MCPServer, server_entity)
+            if self.ap.tool_mgr.mcp_tool_loader:
+                mcp_task = asyncio.create_task(self.ap.tool_mgr.mcp_tool_loader.host_mcp_server(server_config))
+                self.ap.tool_mgr.mcp_tool_loader._hosted_mcp_tasks.append(mcp_task)
+
+        self.ap.logger.info(f'Installed MCP server {name} from marketplace')
+
+    async def _install_skill_from_zip(
+        self,
+        file_bytes: bytes,
+        filename: str,
+        task_context: taskmgr.TaskContext | None = None,
+    ):
+        """Install a skill from marketplace ZIP data."""
+        from ..api.http.service.skill import SkillService
+
+        skill_service = SkillService(self.ap)
+
+        self.ap.logger.info(f'Installing skill from marketplace ZIP ({len(file_bytes)} bytes)')
+
+        # Install from ZIP using skill service
+        result = await skill_service.install_from_zip_upload(
+            file_bytes=file_bytes,
+            filename=filename + '.zip',
+        )
+        self.ap.logger.info(f'Skill installed successfully: {result}')
+
+    def _build_plugin_startup_failure_message(
+        self,
+        plugin_author: str,
+        plugin_name: str,
+        task_context: taskmgr.TaskContext | None,
+    ) -> str:
+        dep_hint = ''
+        if task_context is not None:
+            current_dep = task_context.metadata.get('current_dep')
+            if current_dep:
+                dep_hint = f' Last dependency: {current_dep}.'
+
+        return (
+            f'Plugin {plugin_author}/{plugin_name} failed to start after installation. '
+            f'Dependency installation or plugin initialization may have failed.{dep_hint} '
+            f'Please check the plugin requirements and runtime logs.'
+        )
+
+    async def _wait_for_installed_plugin_ready(
+        self,
+        plugin_author: str | None,
+        plugin_name: str | None,
+        task_context: taskmgr.TaskContext | None,
+        timeout: float = 30,
+    ):
+        """Wait until the installed plugin is registered by the runtime.
+
+        The plugin runtime launches plugins asynchronously. If dependency installation
+        fails, the plugin process exits before registration; without this check the
+        install task can incorrectly finish successfully.
+        """
+        if not plugin_author or not plugin_name:
+            return
+
+        deadline = time.time() + timeout
+        last_error: Exception | None = None
+        while time.time() < deadline:
+            try:
+                plugin = await self.get_plugin_info(plugin_author, plugin_name)
+                if plugin is not None:
+                    status = plugin.get('status')
+                    if status == 'initialized':
+                        return
+            except Exception as e:
+                last_error = e
+
+            await asyncio.sleep(0.5)
+
+        message = self._build_plugin_startup_failure_message(plugin_author, plugin_name, task_context)
+        if last_error is not None:
+            message = f'{message} Last runtime error: {last_error}'
+        raise RuntimeError(message)
+
     async def install_plugin(
         self,
         install_source: PluginInstallSource,
         install_info: dict[str, Any],
         task_context: taskmgr.TaskContext | None = None,
     ):
+        plugin_author = install_info.get('plugin_author')
+        plugin_name = install_info.get('plugin_name')
+
+        if install_source == PluginInstallSource.MARKETPLACE:
+            # Handle marketplace plugin/mcp/skill installation
+            plugin_author = install_info.get('plugin_author', '')
+            plugin_name = install_info.get('plugin_name', '')
+            space_url = (
+                self.ap.instance_config.data.get('space', {}).get('url', 'https://space.langbot.app').rstrip('/')
+            )
+
+            # Try MCP endpoint first
+            async with httpx.AsyncClient(trust_env=True, timeout=15) as client:
+                mcp_resp = await client.get(f'{space_url}/api/v1/marketplace/mcps/{plugin_author}/{plugin_name}')
+                if mcp_resp.status_code == 200:
+                    mcp_data = mcp_resp.json().get('data', {}).get('mcp', {})
+                    if mcp_data.get('mode'):
+                        # It's an MCP - create server locally
+                        self.ap.logger.info(f'Installing MCP from marketplace: {plugin_author}/{plugin_name}')
+                        if task_context:
+                            task_context.set_current_action('installing mcp server')
+                        await self._install_mcp_from_marketplace(mcp_data, task_context)
+                        # Best-effort install report (bumps marketplace install_count).
+                        try:
+                            await client.post(
+                                f'{space_url}/api/v1/marketplace/mcps/{plugin_author}/{plugin_name}/install'
+                            )
+                        except Exception as report_err:
+                            self.ap.logger.debug(f'Failed to report MCP install: {report_err}')
+                        return
+                    else:
+                        raise Exception(f'MCP {plugin_author}/{plugin_name} has no mode')
+                elif mcp_resp.status_code == 404:
+                    # Try skill endpoint - download ZIP and install
+                    self.ap.logger.info(f'Trying skill endpoint for: {plugin_author}/{plugin_name}')
+                    if task_context:
+                        task_context.set_current_action('checking skill marketplace')
+
+                    # Get skill detail to find version
+                    skill_resp = await client.get(
+                        f'{space_url}/api/v1/marketplace/skills/{plugin_author}/{plugin_name}'
+                    )
+                    if skill_resp.status_code == 200:
+                        self.ap.logger.info(f'Installing skill from marketplace: {plugin_author}/{plugin_name}')
+                        if task_context:
+                            task_context.set_current_action('installing skill from marketplace')
+
+                        # Download the skill ZIP (no version needed - uses latest)
+                        if task_context:
+                            task_context.set_current_action('downloading skill package')
+
+                        download_resp = await client.get(
+                            f'{space_url}/api/v1/marketplace/skills/download/{plugin_author}/{plugin_name}'
+                        )
+                        if download_resp.status_code != 200:
+                            raise Exception(
+                                f'Failed to download skill {plugin_author}/{plugin_name}: {download_resp.status_code}'
+                            )
+
+                        file_bytes = download_resp.content
+                        file_size = len(file_bytes)
+                        self.ap.logger.info(f'Downloaded skill ZIP ({file_size} bytes)')
+
+                        # Install skill from ZIP using skill service
+                        await self._install_skill_from_zip(file_bytes, f'{plugin_author}-{plugin_name}', task_context)
+                        return
+                    elif skill_resp.status_code == 404:
+                        # Try plugin endpoint - get versions and download
+                        self.ap.logger.info(f'Trying plugin endpoint for: {plugin_author}/{plugin_name}')
+                        if task_context:
+                            task_context.set_current_action('checking plugin marketplace')
+
+                        # Get plugin versions to find latest
+                        versions_resp = await client.get(
+                            f'{space_url}/api/v1/marketplace/plugins/{plugin_author}/{plugin_name}/versions'
+                        )
+                        if versions_resp.status_code == 200:
+                            versions_data = versions_resp.json().get('data', {}).get('versions', [])
+                            if versions_data:
+                                latest_version = versions_data[0].get('version', '')
+                                if latest_version:
+                                    self.ap.logger.info(
+                                        f'Installing plugin from marketplace: {plugin_author}/{plugin_name} v{latest_version}'
+                                    )
+                                    if task_context:
+                                        task_context.set_current_action('downloading plugin package')
+
+                                    download_resp = await client.get(
+                                        f'{space_url}/api/v1/marketplace/plugins/download/{plugin_author}/{plugin_name}/{latest_version}'
+                                    )
+                                    if download_resp.status_code != 200:
+                                        raise Exception(
+                                            f'Failed to download plugin {plugin_author}/{plugin_name}: {download_resp.status_code}'
+                                        )
+
+                                    file_bytes = download_resp.content
+                                    self._inspect_plugin_package(file_bytes, task_context)
+                                    file_key = await self.handler.send_file(file_bytes, 'lbpkg')
+                                    install_info['plugin_file_key'] = file_key
+                                    self.ap.logger.info(f'Transfered file {file_key} to plugin runtime')
+                                    # Continue to install via runtime
+                                else:
+                                    raise Exception(f'No version found for plugin {plugin_author}/{plugin_name}')
+                            else:
+                                raise Exception(f'Plugin {plugin_author}/{plugin_name} has no versions')
+                        else:
+                            raise Exception(f'Plugin {plugin_author}/{plugin_name} not found in marketplace')
+                    else:
+                        skill_resp.raise_for_status()
+                        raise Exception(f'Failed to get skill {plugin_author}/{plugin_name}')
+                else:
+                    mcp_resp.raise_for_status()
+                    raise Exception(f'Failed to get MCP {plugin_author}/{plugin_name}')
+
         if install_source == PluginInstallSource.LOCAL:
             # transfer file before install
             file_bytes = install_info['plugin_file']
-            self._extract_deps_metadata(file_bytes, task_context)
+            plugin_author, plugin_name = self._inspect_plugin_package(file_bytes, task_context)
+            if task_context is not None and plugin_author and plugin_name:
+                task_context.metadata['plugin_name'] = f'{plugin_author}/{plugin_name}'
             file_key = await self.handler.send_file(file_bytes, 'lbpkg')
             install_info['plugin_file_key'] = file_key
             del install_info['plugin_file']
@@ -265,7 +523,9 @@ class PluginRuntimeConnector:
                                 task_context.metadata['download_speed'] = downloaded / elapsed if elapsed > 0 else 0
 
                     file_bytes = b''.join(chunks)
-                    self._extract_deps_metadata(file_bytes, task_context)
+                    plugin_author, plugin_name = self._inspect_plugin_package(file_bytes, task_context)
+                    if task_context is not None and plugin_author and plugin_name:
+                        task_context.metadata['plugin_name'] = f'{plugin_author}/{plugin_name}'
                     file_key = await self.handler.send_file(file_bytes, 'lbpkg')
                     install_info['plugin_file_key'] = file_key
                     self.ap.logger.info(f'Transfered file {file_key} to plugin runtime')
@@ -289,6 +549,8 @@ class PluginRuntimeConnector:
             if metadata is not None and task_context is not None:
                 task_context.metadata.update(metadata)
 
+        await self._wait_for_installed_plugin_ready(plugin_author, plugin_name, task_context)
+
     async def upgrade_plugin(
         self,
         plugin_author: str,
@@ -534,13 +796,18 @@ class PluginRuntimeConnector:
         return await self.handler.retrieve_knowledge(plugin_author, plugin_name, retriever_name, retrieval_context)
 
     def dispose(self):
-        # No need to consider the shutdown on Windows
-        # for Windows can kill processes and subprocesses chainly
-
-        if self.is_enable_plugin and isinstance(self.ctrl, stdio_client_controller.StdioClientController):
+        # On non-Windows stdio mode, terminate via the controller's process handle.
+        # On Windows, the managed subprocess is cleaned up by the base class.
+        if (
+            self.is_enable_plugin
+            and hasattr(self, 'ctrl')
+            and isinstance(self.ctrl, stdio_client_controller.StdioClientController)
+        ):
             self.ap.logger.info('Terminating plugin runtime process...')
             self.ctrl.process.terminate()
 
+        self._dispose_subprocess()
+
         if self.heartbeat_task is not None:
             self.heartbeat_task.cancel()
             self.heartbeat_task = None
@@ -558,11 +825,12 @@ class PluginRuntimeConnector:
         Raises:
             ValueError: If plugin_id is not in the expected 'author/name' format.
         """
-        if '/' not in plugin_id:
+        segments = plugin_id.split('/')
+        if len(segments) != 2 or not all(segments):
             raise ValueError(
                 f"Invalid plugin_id format: '{plugin_id}'. Expected 'author/name' format (e.g. 'langbot/rag-engine')."
             )
-        return plugin_id.split('/', 1)
+        return segments[0], segments[1]
 
     async def call_rag_ingest(self, plugin_id: str, context_data: dict[str, Any]) -> dict[str, Any]:
         """Call plugin to ingest document.

src/langbot/pkg/plugin/handler.py

@@ -840,6 +840,16 @@ class RuntimeConnectionHandler(handler.Handler):
             timeout=10,
         )
 
+    async def set_runtime_config(self, cloud_service_url: str) -> dict[str, Any]:
+        """Push runtime configuration (e.g. marketplace URL) to the runtime."""
+        return await self.call_action(
+            LangBotToRuntimeAction.SET_RUNTIME_CONFIG,
+            {
+                'cloud_service_url': cloud_service_url,
+            },
+            timeout=10,
+        )
+
     async def install_plugin(
         self, install_source: str, install_info: dict[str, Any]
     ) -> typing.AsyncGenerator[dict[str, Any], None]:

src/langbot/pkg/provider/modelmgr/modelmgr.py

@@ -143,49 +143,83 @@ class ModelManager:
         # get the latest models from space
         space_models = await self.ap.space_service.get_models()
 
-        exists_llm_models_uuids = [m['uuid'] for m in await self.ap.llm_model_service.get_llm_models()]
-        exists_embedding_models_uuids = [
-            m['uuid'] for m in await self.ap.embedding_models_service.get_embedding_models()
-        ]
+        # Index existing models by uuid. Space reuses a model's uuid across
+        # renames / re-specs (e.g. the uuid that used to be ``claude-opus-4-6``
+        # may later become ``claude-opus-4-7``). So for Space-managed models we
+        # upsert: create when the uuid is new, otherwise update name/abilities/
+        # ranking to track Space. Models owned by other providers are never
+        # touched, even on an (unexpected) uuid collision.
+        existing_llm_models = {m['uuid']: m for m in await self.ap.llm_model_service.get_llm_models()}
+        existing_embedding_models = {
+            m['uuid']: m for m in await self.ap.embedding_models_service.get_embedding_models()
+        }
+
+        created = 0
+        updated = 0
 
         for space_model in space_models:
             if space_model.category == 'chat':
-                uuid = space_model.uuid
-
-                if uuid in exists_llm_models_uuids:
-                    continue
-
-                # model will be automatically loaded
-                await self.ap.llm_model_service.create_llm_model(
-                    {
-                        'uuid': space_model.uuid,
+                existing = existing_llm_models.get(space_model.uuid)
+                if existing is None:
+                    # model will be automatically loaded
+                    await self.ap.llm_model_service.create_llm_model(
+                        {
+                            'uuid': space_model.uuid,
+                            'name': space_model.model_id,
+                            'provider_uuid': space_model_provider.uuid,
+                            'abilities': space_model.llm_abilities or [],
+                            'extra_args': {},
+                            'prefered_ranking': space_model.featured_order,
+                        },
+                        preserve_uuid=True,
+                        auto_set_to_default_pipeline=False,
+                    )
+                    created += 1
+                elif existing.get('provider_uuid') == space_model_provider.uuid:
+                    desired = {
                         'name': space_model.model_id,
                         'provider_uuid': space_model_provider.uuid,
                         'abilities': space_model.llm_abilities or [],
-                        'extra_args': {},
                         'prefered_ranking': space_model.featured_order,
-                    },
-                    preserve_uuid=True,
-                    auto_set_to_default_pipeline=False,
-                )
+                    }
+                    if (
+                        existing.get('name') != desired['name']
+                        or list(existing.get('abilities') or []) != list(desired['abilities'])
+                        or existing.get('prefered_ranking') != desired['prefered_ranking']
+                    ):
+                        await self.ap.llm_model_service.update_llm_model(space_model.uuid, dict(desired))
+                        updated += 1
 
             elif space_model.category == 'embedding':
-                uuid = space_model.uuid
-
-                if uuid in exists_embedding_models_uuids:
-                    continue
-
-                # model will be automatically loaded
-                await self.ap.embedding_models_service.create_embedding_model(
-                    {
-                        'uuid': space_model.uuid,
+                existing = existing_embedding_models.get(space_model.uuid)
+                if existing is None:
+                    # model will be automatically loaded
+                    await self.ap.embedding_models_service.create_embedding_model(
+                        {
+                            'uuid': space_model.uuid,
+                            'name': space_model.model_id,
+                            'provider_uuid': space_model_provider.uuid,
+                            'extra_args': {},
+                            'prefered_ranking': space_model.featured_order,
+                        },
+                        preserve_uuid=True,
+                    )
+                    created += 1
+                elif existing.get('provider_uuid') == space_model_provider.uuid:
+                    desired = {
                         'name': space_model.model_id,
                         'provider_uuid': space_model_provider.uuid,
-                        'extra_args': {},
                         'prefered_ranking': space_model.featured_order,
-                    },
-                    preserve_uuid=True,
-                )
+                    }
+                    if (
+                        existing.get('name') != desired['name']
+                        or existing.get('prefered_ranking') != desired['prefered_ranking']
+                    ):
+                        await self.ap.embedding_models_service.update_embedding_model(space_model.uuid, dict(desired))
+                        updated += 1
+
+        if created or updated:
+            self.ap.logger.info(f'Synced models from LangBot Space: {created} added, {updated} updated.')
 
     async def init_temporary_runtime_llm_model(
         self,

src/langbot/pkg/provider/modelmgr/requester.py

@@ -340,6 +340,7 @@ class ProviderAPIRequester(metaclass=abc.ABCMeta):
     """Provider API请求器"""
 
     name: str = None
+    init_api_key: str = 'langbot-init-placeholder'
 
     ap: app.Application
 

src/langbot/pkg/provider/modelmgr/requesters/chatcmpl.py

@@ -25,7 +25,7 @@ class OpenAIChatCompletions(requester.ProviderAPIRequester):
 
     async def initialize(self):
         self.client = openai.AsyncClient(
-            api_key='',
+            api_key=self.init_api_key,
             base_url=self.requester_cfg['base_url'].replace(' ', ''),
             timeout=self.requester_cfg['timeout'],
             http_client=httpx.AsyncClient(trust_env=True, timeout=self.requester_cfg['timeout']),

src/langbot/pkg/provider/modelmgr/requesters/modelscopechatcmpl.py

@@ -25,7 +25,7 @@ class ModelScopeChatCompletions(requester.ProviderAPIRequester):
 
     async def initialize(self):
         self.client = openai.AsyncClient(
-            api_key='',
+            api_key=self.init_api_key,
             base_url=self.requester_cfg['base_url'],
             timeout=self.requester_cfg['timeout'],
             http_client=httpx.AsyncClient(trust_env=True, timeout=self.requester_cfg['timeout']),

src/langbot/pkg/provider/modelmgr/token.py

@@ -14,7 +14,14 @@ class TokenManager:
 
     def __init__(self, name: str, tokens: list[str]):
         self.name = name
-        self.tokens = tokens
+        self.tokens = []
+        seen_tokens = set()
+        for token in tokens:
+            normalized_token = token.strip() if isinstance(token, str) else ''
+            if not normalized_token or normalized_token in seen_tokens:
+                continue
+            self.tokens.append(normalized_token)
+            seen_tokens.add(normalized_token)
         self.using_token_index = 0
 
     def get_token(self) -> str:
@@ -23,4 +30,6 @@ class TokenManager:
         return self.tokens[self.using_token_index]
 
     def next_token(self):
+        if len(self.tokens) == 0:
+            return
         self.using_token_index = (self.using_token_index + 1) % len(self.tokens)

src/langbot/pkg/provider/runner.py

@@ -2,8 +2,12 @@ from __future__ import annotations
 
 import abc
 import typing
+from typing import TYPE_CHECKING
 
-from ..core import app
+if TYPE_CHECKING:
+    from ..core import app
+    import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+    import langbot_plugin.api.entities.builtin.provider.message as provider_message
 
 
 preregistered_runners: list[typing.Type[RequestRunner]] = []
@@ -35,7 +39,7 @@ class RequestRunner(abc.ABC):
 
     @abc.abstractmethod
     async def run(
-        self, query: core_entities.Query
-    ) -> typing.AsyncGenerator[llm_entities.Message | llm_entities.MessageChunk, None]:
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.Message | provider_message.MessageChunk, None]:
         """运行请求"""
         pass

src/langbot/pkg/provider/runners/deerflowapi.py

@@ -0,0 +1,511 @@
+"""DeerFlow LangGraph API Runner
+
+参考 astrbot 的 deerflow_agent_runner 实现，适配 LangBot 的 Runner 接口。
+
+特点：
+- 使用 LangGraph HTTP API 接入 deer-flow 后端
+- 自动管理 thread_id（按 session 隔离）
+- 支持 SSE 流式响应解析
+- 支持 streaming/非流式两种输出
+- 处理 values / messages-tuple / custom 三种事件
+"""
+
+from __future__ import annotations
+
+import asyncio
+import hashlib
+import json
+import typing
+from collections import deque
+from dataclasses import dataclass, field
+
+
+from langbot.pkg.provider import runner
+from langbot.pkg.core import app
+import langbot_plugin.api.entities.builtin.provider.message as provider_message
+import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+from langbot.libs.deerflow_api import client, errors, stream_utils
+
+
+_MAX_VALUES_HISTORY = 200
+
+
+@dataclass
+class _StreamState:
+    """流式状态跟踪"""
+
+    latest_text: str = ''
+    prev_text_for_streaming: str = ''
+    clarification_text: str = ''
+    task_failures: list[str] = field(default_factory=list)
+    seen_message_ids: set[str] = field(default_factory=set)
+    seen_message_order: deque[str] = field(default_factory=deque)
+    no_id_message_fingerprints: dict[int, str] = field(default_factory=dict)
+    baseline_initialized: bool = False
+    has_values_text: bool = False
+    run_values_messages: list[dict[str, typing.Any]] = field(default_factory=list)
+    timed_out: bool = False
+
+
+@runner.runner_class('deerflow-api')
+class DeerFlowAPIRunner(runner.RequestRunner):
+    """DeerFlow LangGraph API 对话请求器"""
+
+    deerflow_client: client.AsyncDeerFlowClient
+
+    def __init__(self, ap: app.Application, pipeline_config: dict):
+        super().__init__(ap, pipeline_config)
+
+        cfg = self.pipeline_config['ai']['deerflow-api']
+
+        api_base = cfg.get('api-base', '').strip()
+        if not api_base or not api_base.startswith(('http://', 'https://')):
+            raise errors.DeerFlowAPIError(
+                message='DeerFlow API Base URL 格式错误，必须以 http:// 或 https:// 开头',
+            )
+
+        self.api_base = api_base
+        self.api_key = cfg.get('api-key', '')
+        self.auth_header = cfg.get('auth-header', '')
+        self.assistant_id = cfg.get('assistant-id', 'lead_agent')
+        self.model_name = cfg.get('model-name', '')
+        self.thinking_enabled = bool(cfg.get('thinking-enabled', False))
+        self.plan_mode = bool(cfg.get('plan-mode', False))
+        self.subagent_enabled = bool(cfg.get('subagent-enabled', False))
+        self.max_concurrent_subagents = int(cfg.get('max-concurrent-subagents', 3))
+        self.timeout = int(cfg.get('timeout', 300))
+        self.recursion_limit = int(cfg.get('recursion-limit', 1000))
+
+        self.deerflow_client = client.AsyncDeerFlowClient(
+            api_base=self.api_base,
+            api_key=self.api_key,
+            auth_header=self.auth_header,
+        )
+
+    # ------------------------------------------------------------------
+    # 辅助方法
+    # ------------------------------------------------------------------
+
+    def _fingerprint_message(self, message: dict[str, typing.Any]) -> str:
+        try:
+            raw = json.dumps(message, sort_keys=True, ensure_ascii=False, default=str)
+        except (TypeError, ValueError):
+            raw = repr(message)
+        return hashlib.sha1(raw.encode('utf-8', errors='ignore')).hexdigest()
+
+    def _remember_seen_message_id(self, state: _StreamState, msg_id: str) -> None:
+        if not msg_id or msg_id in state.seen_message_ids:
+            return
+        state.seen_message_ids.add(msg_id)
+        state.seen_message_order.append(msg_id)
+        while len(state.seen_message_order) > _MAX_VALUES_HISTORY:
+            dropped = state.seen_message_order.popleft()
+            state.seen_message_ids.discard(dropped)
+
+    def _extract_new_messages_from_values(
+        self,
+        values_messages: list[typing.Any],
+        state: _StreamState,
+    ) -> list[dict[str, typing.Any]]:
+        new_messages: list[dict[str, typing.Any]] = []
+        no_id_indexes_seen: set[int] = set()
+        for idx, msg in enumerate(values_messages):
+            if not isinstance(msg, dict):
+                continue
+            msg_id = stream_utils.get_message_id(msg)
+            if msg_id:
+                if msg_id in state.seen_message_ids:
+                    continue
+                self._remember_seen_message_id(state, msg_id)
+                new_messages.append(msg)
+                continue
+
+            no_id_indexes_seen.add(idx)
+            fp = self._fingerprint_message(msg)
+            if state.no_id_message_fingerprints.get(idx) == fp:
+                continue
+            state.no_id_message_fingerprints[idx] = fp
+            new_messages.append(msg)
+
+        for idx in list(state.no_id_message_fingerprints.keys()):
+            if idx not in no_id_indexes_seen:
+                state.no_id_message_fingerprints.pop(idx, None)
+        return new_messages
+
+    # ------------------------------------------------------------------
+    # 用户输入处理
+    # ------------------------------------------------------------------
+
+    def _build_user_content(
+        self,
+        prompt: str,
+        image_urls: list[str],
+    ) -> typing.Any:
+        """构建 LangGraph 兼容的 user content（支持多模态）"""
+        if not image_urls:
+            return prompt
+
+        content: list[dict[str, typing.Any]] = []
+        if prompt:
+            content.append({'type': 'text', 'text': prompt})
+        for url in image_urls:
+            if not isinstance(url, str):
+                continue
+            url = url.strip()
+            if not url:
+                continue
+            if url.startswith(('http://', 'https://', 'data:')):
+                content.append({'type': 'image_url', 'image_url': {'url': url}})
+        return content if content else prompt
+
+    def _preprocess_user_message(
+        self,
+        query: pipeline_query.Query,
+    ) -> tuple[str, list[str]]:
+        """提取用户消息的纯文本与图片 URL 列表"""
+        plain_text = ''
+        image_urls: list[str] = []
+
+        if isinstance(query.user_message.content, str):
+            plain_text = query.user_message.content
+        elif isinstance(query.user_message.content, list):
+            for ce in query.user_message.content:
+                if ce.type == 'text':
+                    plain_text += ce.text
+                elif ce.type == 'image_base64':
+                    # 转换为 data URI 形式
+                    b64 = getattr(ce, 'image_base64', '')
+                    if b64:
+                        if not b64.startswith('data:'):
+                            b64 = f'data:image/png;base64,{b64}'
+                        image_urls.append(b64)
+                elif ce.type == 'image_url':
+                    url = getattr(ce, 'image_url', '')
+                    if url:
+                        image_urls.append(url)
+
+        return plain_text, image_urls
+
+    # ------------------------------------------------------------------
+    # 请求构造
+    # ------------------------------------------------------------------
+
+    def _build_messages(
+        self,
+        prompt: str,
+        image_urls: list[str],
+        system_prompt: str = '',
+    ) -> list[dict[str, typing.Any]]:
+        messages: list[dict[str, typing.Any]] = []
+        if system_prompt:
+            messages.append({'role': 'system', 'content': system_prompt})
+        messages.append(
+            {
+                'role': 'user',
+                'content': self._build_user_content(prompt, image_urls),
+            }
+        )
+        return messages
+
+    def _build_runtime_configurable(self, thread_id: str) -> dict[str, typing.Any]:
+        cfg: dict[str, typing.Any] = {
+            'thread_id': thread_id,
+            'thinking_enabled': self.thinking_enabled,
+            'is_plan_mode': self.plan_mode,
+            'subagent_enabled': self.subagent_enabled,
+        }
+        if self.subagent_enabled:
+            cfg['max_concurrent_subagents'] = self.max_concurrent_subagents
+        if self.model_name:
+            cfg['model_name'] = self.model_name
+        return cfg
+
+    def _build_payload(
+        self,
+        thread_id: str,
+        prompt: str,
+        image_urls: list[str],
+        system_prompt: str = '',
+    ) -> dict[str, typing.Any]:
+        runtime_configurable = self._build_runtime_configurable(thread_id)
+        return {
+            'assistant_id': self.assistant_id,
+            'input': {
+                'messages': self._build_messages(prompt, image_urls, system_prompt),
+            },
+            'stream_mode': ['values', 'messages-tuple', 'custom'],
+            # DeerFlow 2.0 从 config.configurable 读取运行时覆盖
+            # 同时保留 context 字段做向后兼容
+            'context': dict(runtime_configurable),
+            'config': {
+                'recursion_limit': self.recursion_limit,
+                'configurable': runtime_configurable,
+            },
+        }
+
+    # ------------------------------------------------------------------
+    # Session/Thread 管理
+    # ------------------------------------------------------------------
+
+    async def _ensure_thread_id(self, query: pipeline_query.Query) -> str:
+        """从 query.session 取/创建 deerflow thread_id
+
+        LangBot 使用 `query.session.using_conversation.uuid` 持久化 conversation id，
+        我们复用这个字段存储 deerflow thread_id（与 Dify Runner 同样做法）。
+        """
+        thread_id = query.session.using_conversation.uuid or ''
+        if thread_id:
+            return thread_id
+
+        thread = await self.deerflow_client.create_thread(timeout=min(30, self.timeout))
+        thread_id = thread.get('thread_id', '')
+        if not thread_id:
+            raise errors.DeerFlowAPIError(message=f'DeerFlow create thread 返回数据缺少 thread_id: {thread}')
+
+        query.session.using_conversation.uuid = thread_id
+        return thread_id
+
+    # ------------------------------------------------------------------
+    # 流式事件处理
+    # ------------------------------------------------------------------
+
+    def _handle_values_event(
+        self,
+        data: typing.Any,
+        state: _StreamState,
+    ) -> str | None:
+        """处理 values 事件，返回新的完整文本（增量基础上的全量）"""
+        values_messages = stream_utils.extract_messages_from_values_data(data)
+        if not values_messages:
+            return None
+
+        new_messages: list[dict[str, typing.Any]] = []
+        if not state.baseline_initialized:
+            state.baseline_initialized = True
+            for idx, msg in enumerate(values_messages):
+                if not isinstance(msg, dict):
+                    continue
+                new_messages.append(msg)
+                msg_id = stream_utils.get_message_id(msg)
+                if msg_id:
+                    self._remember_seen_message_id(state, msg_id)
+                    continue
+                state.no_id_message_fingerprints[idx] = self._fingerprint_message(msg)
+        else:
+            new_messages = self._extract_new_messages_from_values(values_messages, state)
+
+        latest_text = ''
+        if new_messages:
+            state.run_values_messages.extend(new_messages)
+            if len(state.run_values_messages) > _MAX_VALUES_HISTORY:
+                state.run_values_messages = state.run_values_messages[-_MAX_VALUES_HISTORY:]
+            latest_text = stream_utils.extract_latest_ai_text(state.run_values_messages)
+            if latest_text:
+                state.has_values_text = True
+            latest_clarification = stream_utils.extract_latest_clarification_text(
+                state.run_values_messages,
+            )
+            if latest_clarification:
+                state.clarification_text = latest_clarification
+
+        return latest_text or None
+
+    def _handle_message_event(
+        self,
+        data: typing.Any,
+        state: _StreamState,
+    ) -> str | None:
+        """处理 messages-tuple 事件，返回增量文本
+
+        当 values 事件已经提供完整文本时，跳过 messages-tuple 的增量
+        """
+        delta = stream_utils.extract_ai_delta_from_event_data(data)
+        if delta and not state.has_values_text:
+            state.latest_text += delta
+            return delta
+
+        maybe_clar = stream_utils.extract_clarification_from_event_data(data)
+        if maybe_clar:
+            state.clarification_text = maybe_clar
+        return None
+
+    def _build_final_text(self, state: _StreamState) -> str:
+        """构建最终输出文本"""
+        if state.clarification_text:
+            return state.clarification_text
+
+        # 优先使用最后一条 AI message 的文本
+        latest_ai = stream_utils.extract_latest_ai_message(state.run_values_messages)
+        if latest_ai:
+            text = stream_utils.extract_text(latest_ai.get('content'))
+            if text:
+                if state.timed_out:
+                    text += f'\n\nDeerFlow stream 在 {self.timeout}s 后超时，返回部分结果。'
+                return text
+
+        if state.latest_text:
+            text = state.latest_text
+            if state.timed_out:
+                text += f'\n\nDeerFlow stream 在 {self.timeout}s 后超时，返回部分结果。'
+            return text
+
+        # 提取任务失败信息作兜底
+        failure_text = stream_utils.build_task_failure_summary(state.task_failures)
+        if failure_text:
+            return failure_text
+
+        return 'DeerFlow 返回空响应'
+
+    # ------------------------------------------------------------------
+    # 主流程
+    # ------------------------------------------------------------------
+
+    async def _stream_messages_chunk(
+        self,
+        query: pipeline_query.Query,
+    ) -> typing.AsyncGenerator[provider_message.MessageChunk, None]:
+        """流式输出生成器"""
+        plain_text, image_urls = self._preprocess_user_message(query)
+
+        system_prompt = ''
+        # LangBot 的 pipeline 通常通过 prompt-preprocess 已注入 system prompt
+        # 这里保持空，让 prompt-preprocess 的内容作为 user message 一并送给 deerflow
+
+        thread_id = await self._ensure_thread_id(query)
+        payload = self._build_payload(
+            thread_id=thread_id,
+            prompt=plain_text or 'continue',
+            image_urls=image_urls,
+            system_prompt=system_prompt,
+        )
+
+        state = _StreamState()
+        prev_text = ''
+        message_idx = 0
+
+        try:
+            async for event in self.deerflow_client.stream_run(
+                thread_id=thread_id,
+                payload=payload,
+                timeout=self.timeout,
+            ):
+                event_type = event.get('event')
+                data = event.get('data')
+
+                if event_type == 'values':
+                    new_full = self._handle_values_event(data, state)
+                    if new_full and new_full != prev_text:
+                        delta = new_full[len(prev_text) :] if new_full.startswith(prev_text) else new_full
+                        prev_text = new_full
+                        if delta:
+                            message_idx += 1
+                            yield provider_message.MessageChunk(
+                                role='assistant',
+                                content=new_full,
+                                is_final=False,
+                            )
+                    continue
+
+                if event_type in {'messages-tuple', 'messages', 'message'}:
+                    delta = self._handle_message_event(data, state)
+                    if delta:
+                        prev_text = state.latest_text
+                        message_idx += 1
+                        yield provider_message.MessageChunk(
+                            role='assistant',
+                            content=prev_text,
+                            is_final=False,
+                        )
+                    continue
+
+                if event_type == 'custom':
+                    state.task_failures.extend(
+                        stream_utils.extract_task_failures_from_custom_event(data),
+                    )
+                    continue
+
+                if event_type == 'error':
+                    raise errors.DeerFlowAPIError(message=f'DeerFlow stream error event: {data}')
+
+                if event_type == 'end':
+                    break
+        except (asyncio.TimeoutError, TimeoutError):
+            self.ap.logger.warning(f'DeerFlow stream timed out after {self.timeout}s for thread_id={thread_id}')
+            state.timed_out = True
+
+        # 最终消息
+        final_text = self._build_final_text(state)
+        yield provider_message.MessageChunk(
+            role='assistant',
+            content=final_text,
+            is_final=True,
+        )
+
+    async def _messages(
+        self,
+        query: pipeline_query.Query,
+    ) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """非流式聚合输出"""
+        plain_text, image_urls = self._preprocess_user_message(query)
+
+        thread_id = await self._ensure_thread_id(query)
+        payload = self._build_payload(
+            thread_id=thread_id,
+            prompt=plain_text or 'continue',
+            image_urls=image_urls,
+        )
+
+        state = _StreamState()
+
+        try:
+            async for event in self.deerflow_client.stream_run(
+                thread_id=thread_id,
+                payload=payload,
+                timeout=self.timeout,
+            ):
+                event_type = event.get('event')
+                data = event.get('data')
+
+                if event_type == 'values':
+                    self._handle_values_event(data, state)
+                    continue
+
+                if event_type in {'messages-tuple', 'messages', 'message'}:
+                    self._handle_message_event(data, state)
+                    continue
+
+                if event_type == 'custom':
+                    state.task_failures.extend(
+                        stream_utils.extract_task_failures_from_custom_event(data),
+                    )
+                    continue
+
+                if event_type == 'error':
+                    raise errors.DeerFlowAPIError(message=f'DeerFlow stream error event: {data}')
+
+                if event_type == 'end':
+                    break
+        except (asyncio.TimeoutError, TimeoutError):
+            self.ap.logger.warning(f'DeerFlow stream timed out after {self.timeout}s for thread_id={thread_id}')
+            state.timed_out = True
+
+        final_text = self._build_final_text(state)
+        yield provider_message.Message(
+            role='assistant',
+            content=final_text,
+        )
+
+    async def run(
+        self,
+        query: pipeline_query.Query,
+    ) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """主入口：根据 adapter 是否支持流式输出，选择流式或非流式"""
+        if await query.adapter.is_stream_output_supported():
+            msg_idx = 0
+            async for msg in self._stream_messages_chunk(query):
+                msg_idx += 1
+                msg.msg_sequence = msg_idx
+                yield msg
+        else:
+            async for msg in self._messages(query):
+                yield msg

src/langbot/pkg/provider/runners/localagent.py

@@ -5,6 +5,7 @@ import copy
 import typing
 from .. import runner
 from ..modelmgr import requester as modelmgr_requester
+from ..tools.loaders.native import EXEC_TOOL_NAME
 import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
 import langbot_plugin.api.entities.builtin.provider.message as provider_message
 import langbot_plugin.api.entities.builtin.rag.context as rag_context
@@ -24,11 +25,44 @@ Respond in the same language as the user's input.
 </user_message>
 """
 
+SANDBOX_EXEC_TOOL_NAME = 'sandbox_exec'
+SANDBOX_EXEC_SYSTEM_GUIDANCE = (
+    'When sandbox_exec is available, use it for exact calculations, statistics, structured data parsing, '
+    'and code execution instead of estimating mentally. If the user provides numbers, tables, CSV-like text, '
+    'JSON, or other data and asks for a computed answer, prefer running a short Python script in sandbox_exec '
+    'and then answer from the tool result.'
+)
+
+
+# Hard cap on tool-call rounds within a single agent turn. A looping or
+# adversarial model can otherwise emit tool calls indefinitely (each potentially
+# a sandbox exec), yielding a non-terminating request and runaway cost. Set
+# generously so it never interrupts legitimate multi-step agentic workflows.
+MAX_TOOL_CALL_ROUNDS = 128
+
 
 @runner.runner_class('local-agent')
 class LocalAgentRunner(runner.RequestRunner):
     """Local agent request runner"""
 
+    def _build_request_messages(
+        self,
+        query: pipeline_query.Query,
+        user_message: provider_message.Message,
+    ) -> list[provider_message.Message]:
+        req_messages = query.prompt.messages.copy() + query.messages.copy()
+
+        if any(getattr(tool, 'name', None) == EXEC_TOOL_NAME for tool in query.use_funcs or []):
+            req_messages.append(
+                provider_message.Message(
+                    role='system',
+                    content=self.ap.box_service.get_system_guidance(),
+                )
+            )
+
+        req_messages.append(user_message)
+        return req_messages
+
     async def _get_model_candidates(
         self,
         query: pipeline_query.Query,
@@ -131,6 +165,7 @@ class LocalAgentRunner(runner.RequestRunner):
     ) -> typing.AsyncGenerator[provider_message.Message | provider_message.MessageChunk, None]:
         """Run request"""
         pending_tool_calls = []
+        initial_response_emitted = False
 
         # Get knowledge bases list from query variables (set by PreProcessor,
         # may have been modified by plugins during PromptPreProcessing)
@@ -236,7 +271,7 @@ class LocalAgentRunner(runner.RequestRunner):
                     ce.text = final_user_message_text
                     break
 
-        req_messages = query.prompt.messages.copy() + query.messages.copy() + [user_message]
+        req_messages = self._build_request_messages(query, user_message)
 
         try:
             is_stream = await query.adapter.is_stream_output_supported()
@@ -264,7 +299,6 @@ class LocalAgentRunner(runner.RequestRunner):
                 query.use_funcs,
                 remove_think,
             )
-            yield msg
             final_msg = msg
         else:
             # Streaming: invoke with fallback
@@ -312,6 +346,7 @@ class LocalAgentRunner(runner.RequestRunner):
                         is_final=msg.is_final,
                         msg_sequence=msg_sequence,
                     )
+                    initial_response_emitted = True
 
             final_msg = provider_message.MessageChunk(
                 role=last_role,
@@ -325,11 +360,25 @@ class LocalAgentRunner(runner.RequestRunner):
         if isinstance(final_msg, provider_message.MessageChunk):
             first_end_sequence = final_msg.msg_sequence
 
+        if not is_stream:
+            yield final_msg
+        elif not initial_response_emitted:
+            yield final_msg
+            initial_response_emitted = True
+
         req_messages.append(final_msg)
 
         # Once a model succeeds, commit to it for the tool call loop
         # (no fallback mid-conversation — different models may interpret tool results differently)
+        tool_call_round = 0
         while pending_tool_calls:
+            tool_call_round += 1
+            if tool_call_round > MAX_TOOL_CALL_ROUNDS:
+                self.ap.logger.warning(
+                    f'Tool-call loop reached the {MAX_TOOL_CALL_ROUNDS}-round cap '
+                    f'(query_id={query.query_id}); stopping to avoid a non-terminating request.'
+                )
+                break
             for tool_call in pending_tool_calls:
                 try:
                     func = tool_call.function
@@ -369,7 +418,15 @@ class LocalAgentRunner(runner.RequestRunner):
 
                     req_messages.append(msg)
                 except Exception as e:
-                    err_msg = provider_message.Message(role='tool', content=f'err: {e}', tool_call_id=tool_call.id)
+                    if is_stream:
+                        err_msg = provider_message.MessageChunk(
+                            role='tool',
+                            content=f'err: {e}',
+                            tool_call_id=tool_call.id,
+                            is_final=True,
+                        )
+                    else:
+                        err_msg = provider_message.Message(role='tool', content=f'err: {e}', tool_call_id=tool_call.id)
 
                     yield err_msg
 

src/langbot/pkg/provider/runners/weknoraapi.py

@@ -0,0 +1,351 @@
+from __future__ import annotations
+
+import typing
+import json
+
+
+from langbot.pkg.provider import runner
+from langbot.pkg.core import app
+import langbot_plugin.api.entities.builtin.provider.message as provider_message
+import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+from langbot.libs.weknora_api import client, errors
+
+
+@runner.runner_class('weknora-api')
+class WeKnoraAPIRunner(runner.RequestRunner):
+    """WeKnora API 对话请求器"""
+
+    weknora_client: client.AsyncWeKnoraClient
+
+    def __init__(self, ap: app.Application, pipeline_config: dict):
+        super().__init__(ap, pipeline_config)
+
+        valid_app_types = ['chat', 'agent']
+        if self.pipeline_config['ai']['weknora-api']['app-type'] not in valid_app_types:
+            raise errors.WeKnoraAPIError(
+                f'不支持的 WeKnora 应用类型: {self.pipeline_config["ai"]["weknora-api"]["app-type"]}'
+            )
+
+        api_key = self.pipeline_config['ai']['weknora-api'].get('api-key', '').strip()
+        if not api_key:
+            raise errors.WeKnoraAPIError(
+                'WeKnora API Key 未配置，请在流水线的 WeKnora API 配置中填入 API Key '
+                '(从 WeKnora 前端 设置 → API Keys 生成)'
+            )
+
+        base_url = self.pipeline_config['ai']['weknora-api'].get('base-url', '').strip()
+        if not base_url:
+            raise errors.WeKnoraAPIError('WeKnora Base URL 未配置，请填入服务器地址，例如 http://localhost:8080/api/v1')
+
+        self.weknora_client = client.AsyncWeKnoraClient(
+            api_key=api_key,
+            base_url=base_url,
+        )
+
+    async def _extract_plain_text(self, query: pipeline_query.Query) -> str:
+        """从用户消息中提取纯文本内容"""
+        plain_text = ''
+        if isinstance(query.user_message.content, str):
+            plain_text = query.user_message.content
+        elif isinstance(query.user_message.content, list):
+            for ce in query.user_message.content:
+                if ce.type == 'text':
+                    plain_text += ce.text
+
+        if not plain_text:
+            plain_text = self.pipeline_config['ai']['weknora-api'].get('base-prompt', '')
+
+        return plain_text
+
+    async def _ensure_session(self, query: pipeline_query.Query) -> str:
+        """确保会话存在，如果不存在则创建"""
+        session_id = query.session.using_conversation.uuid or ''
+
+        if not session_id:
+            user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
+            session_id = await self.weknora_client.create_session(title=f'IM Chat - {user_tag}')
+            query.session.using_conversation.uuid = session_id
+
+        return session_id
+
+    async def _agent_chat_messages(
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """调用 Agent 智能对话（非流式聚合输出）"""
+        session_id = await self._ensure_session(query)
+        plain_text = await self._extract_plain_text(query)
+        user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
+
+        config = self.pipeline_config['ai']['weknora-api']
+        agent_id = config.get('agent-id', 'builtin-smart-reasoning')
+        knowledge_base_ids = config.get('knowledge-base-ids', [])
+        web_search_enabled = config.get('web-search-enabled', False)
+        timeout = config.get('timeout', 120)
+
+        full_answer = ''
+        chunk = None
+
+        async for chunk in self.weknora_client.agent_chat(
+            session_id=session_id,
+            query=plain_text,
+            user=user_tag,
+            agent_id=agent_id,
+            knowledge_base_ids=knowledge_base_ids,
+            web_search_enabled=web_search_enabled,
+            timeout=timeout,
+        ):
+            self.ap.logger.debug('weknora-agent-chunk: ' + str(chunk))
+
+            response_type = chunk.get('response_type', '')
+            content = chunk.get('content', '')
+
+            if response_type == 'tool_call':
+                # 工具调用
+                tool_data = chunk.get('data', {})
+                tool_name = tool_data.get('tool_name', '')
+                if tool_name:
+                    yield provider_message.Message(
+                        role='assistant',
+                        tool_calls=[
+                            provider_message.ToolCall(
+                                id=chunk.get('id', ''),
+                                type='function',
+                                function=provider_message.FunctionCall(
+                                    name=tool_name,
+                                    arguments=json.dumps(tool_data.get('arguments', {})),
+                                ),
+                            )
+                        ],
+                    )
+
+            elif response_type == 'answer':
+                if content:
+                    full_answer += content
+
+            elif response_type == 'error':
+                raise errors.WeKnoraAPIError(f'WeKnora 服务错误: {content}')
+
+        if chunk is None:
+            raise errors.WeKnoraAPIError('WeKnora API 没有返回任何响应，请检查网络连接和API配置')
+
+        if full_answer:
+            yield provider_message.Message(
+                role='assistant',
+                content=full_answer,
+            )
+
+    async def _chat_messages(
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """调用知识库 RAG 问答（非流式聚合输出）"""
+        session_id = await self._ensure_session(query)
+        plain_text = await self._extract_plain_text(query)
+        user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
+
+        config = self.pipeline_config['ai']['weknora-api']
+        agent_id = config.get('agent-id', 'builtin-quick-answer')
+        knowledge_base_ids = config.get('knowledge-base-ids', [])
+        timeout = config.get('timeout', 120)
+
+        full_answer = ''
+        chunk = None
+
+        async for chunk in self.weknora_client.knowledge_chat(
+            session_id=session_id,
+            query=plain_text,
+            user=user_tag,
+            agent_id=agent_id,
+            knowledge_base_ids=knowledge_base_ids,
+            timeout=timeout,
+        ):
+            self.ap.logger.debug('weknora-chat-chunk: ' + str(chunk))
+
+            response_type = chunk.get('response_type', '')
+            content = chunk.get('content', '')
+
+            if response_type == 'answer':
+                if content:
+                    full_answer += content
+
+            elif response_type == 'error':
+                raise errors.WeKnoraAPIError(f'WeKnora 服务错误: {content}')
+
+        if chunk is None:
+            raise errors.WeKnoraAPIError('WeKnora API 没有返回任何响应，请检查网络连接和API配置')
+
+        if full_answer:
+            yield provider_message.Message(
+                role='assistant',
+                content=full_answer,
+            )
+
+    async def _agent_chat_messages_chunk(
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.MessageChunk, None]:
+        """调用 Agent 智能对话（流式输出）"""
+        session_id = await self._ensure_session(query)
+        plain_text = await self._extract_plain_text(query)
+        user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
+
+        config = self.pipeline_config['ai']['weknora-api']
+        agent_id = config.get('agent-id', 'builtin-smart-reasoning')
+        knowledge_base_ids = config.get('knowledge-base-ids', [])
+        web_search_enabled = config.get('web-search-enabled', False)
+        timeout = config.get('timeout', 120)
+
+        pending_answer = ''
+        message_idx = 0
+        is_final = False
+        chunk = None
+
+        async for chunk in self.weknora_client.agent_chat(
+            session_id=session_id,
+            query=plain_text,
+            user=user_tag,
+            agent_id=agent_id,
+            knowledge_base_ids=knowledge_base_ids,
+            web_search_enabled=web_search_enabled,
+            timeout=timeout,
+        ):
+            self.ap.logger.debug('weknora-agent-chunk: ' + str(chunk))
+
+            response_type = chunk.get('response_type', '')
+            content = chunk.get('content', '')
+            done = chunk.get('done', False)
+
+            if response_type == 'tool_call':
+                tool_data = chunk.get('data', {})
+                tool_name = tool_data.get('tool_name', '')
+                if tool_name:
+                    message_idx += 1
+                    yield provider_message.MessageChunk(
+                        role='assistant',
+                        tool_calls=[
+                            provider_message.ToolCall(
+                                id=chunk.get('id', ''),
+                                type='function',
+                                function=provider_message.FunctionCall(
+                                    name=tool_name,
+                                    arguments=json.dumps(tool_data.get('arguments', {})),
+                                ),
+                            )
+                        ],
+                    )
+
+            elif response_type == 'answer':
+                message_idx += 1
+                if content:
+                    pending_answer += content
+
+                if done:
+                    is_final = True
+
+                # 每 8 个 chunk 输出一次，或最终输出
+                if message_idx % 8 == 0 or is_final:
+                    yield provider_message.MessageChunk(
+                        role='assistant',
+                        content=pending_answer,
+                        is_final=is_final,
+                    )
+
+            elif response_type == 'error':
+                raise errors.WeKnoraAPIError(f'WeKnora 服务错误: {content}')
+
+        if chunk is None:
+            raise errors.WeKnoraAPIError('WeKnora API 没有返回任何响应，请检查网络连接和API配置')
+
+        # 确保最终消息已发出
+        if not is_final and pending_answer:
+            yield provider_message.MessageChunk(
+                role='assistant',
+                content=pending_answer,
+                is_final=True,
+            )
+
+    async def _chat_messages_chunk(
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.MessageChunk, None]:
+        """调用知识库 RAG 问答（流式输出）"""
+        session_id = await self._ensure_session(query)
+        plain_text = await self._extract_plain_text(query)
+        user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
+
+        config = self.pipeline_config['ai']['weknora-api']
+        agent_id = config.get('agent-id', 'builtin-quick-answer')
+        knowledge_base_ids = config.get('knowledge-base-ids', [])
+        timeout = config.get('timeout', 120)
+
+        pending_answer = ''
+        message_idx = 0
+        is_final = False
+        chunk = None
+
+        async for chunk in self.weknora_client.knowledge_chat(
+            session_id=session_id,
+            query=plain_text,
+            user=user_tag,
+            agent_id=agent_id,
+            knowledge_base_ids=knowledge_base_ids,
+            timeout=timeout,
+        ):
+            self.ap.logger.debug('weknora-chat-chunk: ' + str(chunk))
+
+            response_type = chunk.get('response_type', '')
+            content = chunk.get('content', '')
+            done = chunk.get('done', False)
+
+            if response_type == 'answer':
+                message_idx += 1
+                if content:
+                    pending_answer += content
+
+                if done:
+                    is_final = True
+
+                if message_idx % 8 == 0 or is_final:
+                    yield provider_message.MessageChunk(
+                        role='assistant',
+                        content=pending_answer,
+                        is_final=is_final,
+                    )
+
+            elif response_type == 'error':
+                raise errors.WeKnoraAPIError(f'WeKnora 服务错误: {content}')
+
+        if chunk is None:
+            raise errors.WeKnoraAPIError('WeKnora API 没有返回任何响应，请检查网络连接和API配置')
+
+        if not is_final and pending_answer:
+            yield provider_message.MessageChunk(
+                role='assistant',
+                content=pending_answer,
+                is_final=True,
+            )
+
+    async def run(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """运行请求"""
+        app_type = self.pipeline_config['ai']['weknora-api']['app-type']
+
+        if await query.adapter.is_stream_output_supported():
+            msg_idx = 0
+            if app_type == 'agent':
+                async for msg in self._agent_chat_messages_chunk(query):
+                    msg_idx += 1
+                    msg.msg_sequence = msg_idx
+                    yield msg
+            elif app_type == 'chat':
+                async for msg in self._chat_messages_chunk(query):
+                    msg_idx += 1
+                    msg.msg_sequence = msg_idx
+                    yield msg
+            else:
+                raise errors.WeKnoraAPIError(f'不支持的 WeKnora 应用类型: {app_type}')
+        else:
+            if app_type == 'agent':
+                async for msg in self._agent_chat_messages(query):
+                    yield msg
+            elif app_type == 'chat':
+                async for msg in self._chat_messages(query):
+                    yield msg
+            else:
+                raise errors.WeKnoraAPIError(f'不支持的 WeKnora 应用类型: {app_type}')

src/langbot/pkg/provider/tools/loader.py

@@ -2,12 +2,14 @@ from __future__ import annotations
 
 import abc
 import typing
+from typing import TYPE_CHECKING
 
 from langbot_plugin.api.entities.events import pipeline_query
-
-from ...core import app
 import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
 
+if TYPE_CHECKING:
+    from ...core import app
+
 
 preregistered_loaders: list[typing.Type[ToolLoader]] = []
 

src/langbot/pkg/provider/tools/loaders/mcp.py

@@ -20,6 +20,7 @@ from ....core import app
 import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
 import langbot_plugin.api.entities.builtin.provider.message as provider_message
 from ....entity.persistence import mcp as persistence_mcp
+from .mcp_stdio import BoxStdioSessionRuntime, MCPServerBoxConfig, MCPSessionErrorPhase  # noqa: F401
 
 
 class MCPSessionStatus(enum.Enum):
@@ -58,6 +59,12 @@ class RuntimeMCPSession:
 
     error_message: str | None = None
 
+    error_phase: MCPSessionErrorPhase | None = None
+
+    retry_count: int = 0
+
+    _box_stdio_runtime: BoxStdioSessionRuntime
+
     def __init__(self, server_name: str, server_config: dict, enable: bool, ap: app.Application):
         self.server_name = server_name
         self.server_uuid = server_config.get('uuid', '')
@@ -66,6 +73,13 @@ class RuntimeMCPSession:
         self.enable = enable
         self.session = None
 
+        # Transient test sessions (created from the config page "test" button,
+        # which carry no persisted server UUID) must NOT share the live
+        # "mcp-shared" Box session. Otherwise a failing test churns the shared
+        # session and tears down healthy, already-connected servers. Callers
+        # flag these via server_config['_transient'] = True.
+        self.is_transient = bool(server_config.get('_transient', False))
+
         self.exit_stack = AsyncExitStack()
         self.functions = []
 
@@ -75,7 +89,33 @@ class RuntimeMCPSession:
         self._shutdown_event = asyncio.Event()
         self._ready_event = asyncio.Event()
 
+        self._box_stdio_runtime = BoxStdioSessionRuntime(self)
+        self.box_config = self._box_stdio_runtime.config
+
     async def _init_stdio_python_server(self):
+        if self._uses_box_stdio():
+            await self._box_stdio_runtime.initialize()
+            return
+
+        # Box is configured (ap.box_service exists) but currently unavailable
+        # (disabled by config or connection failed). Refuse stdio MCP rather
+        # than silently falling through to host-stdio — the operator asked
+        # for the sandbox and the failure mode should be visible.
+        #
+        # Set ``error_phase = BOX_UNAVAILABLE`` BEFORE raising so the retry
+        # wrapper can short-circuit (retrying is pointless when Box is
+        # deliberately off) and the frontend can render a localized,
+        # actionable message instead of this raw RuntimeError. Keep the
+        # message itself short — the frontend ignores it for this phase.
+        box_service = getattr(self.ap, 'box_service', None)
+        if box_service is not None and not getattr(box_service, 'available', False):
+            self.error_phase = MCPSessionErrorPhase.BOX_UNAVAILABLE
+            if not getattr(box_service, 'enabled', True):
+                raise RuntimeError('box_disabled_in_config')
+            raise RuntimeError('box_unavailable')
+
+        # Legacy: no box_service installed at all (pre-Box dev mode). Fall
+        # through to host-stdio for backward compatibility.
         server_params = StdioServerParameters(
             command=self.server_config['command'],
             args=self.server_config['args'],
@@ -90,6 +130,9 @@ class RuntimeMCPSession:
 
         await self.session.initialize()
 
+    async def _init_box_stdio_server(self):
+        await self._box_stdio_runtime.initialize()
+
     async def _init_sse_server(self):
         sse_transport = await self.exit_stack.enter_async_context(
             sse_client(
@@ -124,8 +167,11 @@ class RuntimeMCPSession:
 
         await self.session.initialize()
 
+    _MAX_RETRIES = 3
+    _RETRY_DELAYS = [2, 4, 8]
+
     async def _lifecycle_loop(self):
-        """在后台任务中管理整个MCP会话的生命周期"""
+        """Manage the full MCP session lifecycle in a background task."""
         try:
             if self.server_config['mode'] == 'stdio':
                 await self._init_stdio_python_server()
@@ -134,49 +180,134 @@ class RuntimeMCPSession:
             elif self.server_config['mode'] == 'http':
                 await self._init_streamable_http_server()
             else:
-                raise ValueError(f'无法识别 MCP 服务器类型: {self.server_name}: {self.server_config}')
+                raise ValueError(f'Unknown MCP server mode: {self.server_name}: {self.server_config}')
 
             await self.refresh()
 
             self.status = MCPSessionStatus.CONNECTED
 
-            # 通知start()方法连接已建立
+            # Notify start() that connection is established
             self._ready_event.set()
 
-            # 等待shutdown信号
-            await self._shutdown_event.wait()
+            # Wait for shutdown signal, with optional health monitoring for Box stdio
+            if self._uses_box_stdio():
+                monitor_task = asyncio.create_task(self._box_stdio_runtime.monitor_process_health())
+                shutdown_task = asyncio.create_task(self._shutdown_event.wait())
+                done, pending = await asyncio.wait(
+                    [shutdown_task, monitor_task],
+                    return_when=asyncio.FIRST_COMPLETED,
+                )
+                for task in pending:
+                    task.cancel()
+                for task in done:
+                    if task is monitor_task and not self._shutdown_event.is_set():
+                        self.error_phase = MCPSessionErrorPhase.RUNTIME
+                        raise Exception('Box managed process exited unexpectedly')
+            else:
+                await self._shutdown_event.wait()
 
         except Exception as e:
             self.status = MCPSessionStatus.ERROR
             self.error_message = str(e)
             self.ap.logger.error(f'Error in MCP session lifecycle {self.server_name}: {e}\n{traceback.format_exc()}')
-            # 即使出错也要设置ready事件，让start()方法知道初始化已完成
-            self._ready_event.set()
+            # Do NOT set _ready_event here — let _lifecycle_loop_with_retry
+            # handle retries first. It will set the event when all retries
+            # are exhausted or on success.
+            raise  # Re-raise so _lifecycle_loop_with_retry can catch it
         finally:
-            # 在同一个任务中清理所有资源
+            # Clean up all resources in the same task
             try:
                 if self.exit_stack:
                     await self.exit_stack.aclose()
+                    self.exit_stack = AsyncExitStack()
                 self.functions.clear()
                 self.session = None
             except Exception as e:
                 self.ap.logger.error(f'Error cleaning up MCP session {self.server_name}: {e}\n{traceback.format_exc()}')
+            finally:
+                await self._cleanup_box_stdio_session()
+
+    async def _lifecycle_loop_with_retry(self):
+        """Wrap _lifecycle_loop with retry and exponential backoff."""
+        for attempt in range(self._MAX_RETRIES + 1):
+            try:
+                await self._lifecycle_loop()
+                return  # Normal shutdown, don't retry
+            except Exception as e:
+                self.retry_count = attempt + 1
+                if self._shutdown_event.is_set():
+                    return  # Shutdown requested, don't retry
+                # BOX_UNAVAILABLE is a deliberate refusal, not a transient
+                # failure — retrying produces log spam and a misleading
+                # "Failed after N attempts" message. Surface it immediately.
+                if self.error_phase == MCPSessionErrorPhase.BOX_UNAVAILABLE:
+                    self.status = MCPSessionStatus.ERROR
+                    self.error_message = str(e)
+                    self._ready_event.set()
+                    return
+                if attempt >= self._MAX_RETRIES:
+                    self.status = MCPSessionStatus.ERROR
+                    self.error_message = f'Failed after {self._MAX_RETRIES + 1} attempts: {self._describe_exception(e)}'
+                    self._ready_event.set()
+                    return
+                delay = self._RETRY_DELAYS[attempt]
+                self.ap.logger.warning(
+                    f'MCP session {self.server_name} failed (attempt {attempt + 1}), '
+                    f'retrying in {delay}s: {self._describe_exception(e)}'
+                )
+                await self._cleanup_box_stdio_session()
+                # Reset status for retry
+                self.status = MCPSessionStatus.CONNECTING
+                self.error_message = None
+                self.error_phase = None
+                await asyncio.sleep(delay)
+
+    @staticmethod
+    def _describe_exception(exc: BaseException) -> str:
+        """Flatten an exception into its underlying leaf messages.
+
+        anyio / the MCP client wrap real failures in a TaskGroup, whose own
+        message is the unhelpful "unhandled errors in a TaskGroup (N
+        sub-exception)". Recurse into ExceptionGroups so the actual cause
+        (e.g. ``httpx.HTTPStatusError: Client error '410 Gone'``) is surfaced.
+        """
+        leaves: list[str] = []
+
+        def visit(e: BaseException) -> None:
+            sub = getattr(e, 'exceptions', None)
+            if sub:  # ExceptionGroup / BaseExceptionGroup
+                for child in sub:
+                    visit(child)
+            else:
+                leaves.append(f'{type(e).__name__}: {e}')
+
+        visit(exc)
+        seen: set[str] = set()
+        unique = [m for m in leaves if not (m in seen or seen.add(m))]
+        return '; '.join(unique) if unique else f'{type(exc).__name__}: {exc}'
+
+    _MONITOR_POLL_INTERVAL = 5
+    _MONITOR_MAX_CONSECUTIVE_ERRORS = 3
+
+    async def _monitor_box_process_health(self):
+        await self._box_stdio_runtime.monitor_process_health()
 
     async def start(self):
         if not self.enable:
             return
 
-        # 创建后台任务来管理生命周期
-        self._lifecycle_task = asyncio.create_task(self._lifecycle_loop())
+        # Create background task for lifecycle management with retry
+        self._lifecycle_task = asyncio.create_task(self._lifecycle_loop_with_retry())
 
-        # 等待连接建立或失败（带超时）
+        # Wait for connection or failure (with timeout)
+        startup_timeout = (self.box_config.startup_timeout_sec + 30) if self._uses_box_stdio() else 30.0
         try:
-            await asyncio.wait_for(self._ready_event.wait(), timeout=30.0)
+            await asyncio.wait_for(self._ready_event.wait(), timeout=startup_timeout)
         except asyncio.TimeoutError:
             self.status = MCPSessionStatus.ERROR
-            raise Exception('Connection timeout after 30 seconds')
+            raise Exception(f'Connection timeout after {startup_timeout} seconds')
 
-        # 检查是否有错误
+        # Check for errors
         if self.status == MCPSessionStatus.ERROR:
             raise Exception('Connection failed, please check URL')
 
@@ -232,18 +363,25 @@ class RuntimeMCPSession:
         return self.functions
 
     def get_runtime_info_dict(self) -> dict:
-        return {
+        info = {
             'status': self.status.value,
             'error_message': self.error_message,
+            'error_phase': self.error_phase.value if self.error_phase else None,
+            'retry_count': self.retry_count,
             'tool_count': len(self.get_tools()),
             'tools': [
                 {
                     'name': tool.name,
                     'description': tool.description,
+                    'parameters': tool.parameters,
                 }
                 for tool in self.get_tools()
             ],
         }
+        if self._uses_box_stdio():
+            info['box_session_id'] = self._build_box_session_id()
+            info['box_enabled'] = True
+        return info
 
     async def shutdown(self):
         """关闭会话并清理资源"""
@@ -267,6 +405,46 @@ class RuntimeMCPSession:
         except Exception as e:
             self.ap.logger.error(f'Error shutting down MCP session {self.server_name}: {e}\n{traceback.format_exc()}')
 
+    def _uses_box_stdio(self) -> bool:
+        return self._box_stdio_runtime.uses_box_stdio()
+
+    def _build_box_session_id(self) -> str:
+        # Transient test sessions get their own isolated Box session so a
+        # failing/short-lived test can never disturb the shared session that
+        # hosts live, already-connected MCP servers.
+        if self.is_transient:
+            return f'mcp-test-{self.server_uuid}'
+        return 'mcp-shared'
+
+    def _rewrite_path(self, path: str, host_path: str | None) -> str:
+        return self._box_stdio_runtime.rewrite_path(path, host_path)
+
+    def _infer_host_path(self) -> str | None:
+        return self._box_stdio_runtime.infer_host_path()
+
+    @staticmethod
+    def _unwrap_venv_path(directory: str) -> str:
+        return BoxStdioSessionRuntime.unwrap_venv_path(directory)
+
+    def _resolve_host_path(self) -> str | None:
+        return self._box_stdio_runtime.resolve_host_path()
+
+    @staticmethod
+    def _detect_install_command(host_path: str) -> str | None:
+        return BoxStdioSessionRuntime.detect_install_command(host_path)
+
+    def _build_box_session_payload(self, session_id: str, host_path: str | None = None) -> dict:
+        return self._box_stdio_runtime.build_box_session_payload(session_id, host_path)
+
+    def _build_box_process_payload(self, host_path: str | None = None) -> dict:
+        return self._box_stdio_runtime.build_box_process_payload(host_path)
+
+    def _rewrite_venv_command(self, command: str, host_path: str) -> str:
+        return self._box_stdio_runtime.rewrite_venv_command(command, host_path)
+
+    async def _cleanup_box_stdio_session(self) -> None:
+        await self._box_stdio_runtime.cleanup_session()
+
 
 # @loader.loader_class('mcp')
 class MCPLoader(loader.ToolLoader):
@@ -332,15 +510,19 @@ class MCPLoader(loader.ToolLoader):
         Args:
             server_config: 服务器配置字典，必须包含:
                 - name: 服务器名称
-                - mode: 连接模式 (stdio/sse)
+                - mode: 连接模式 (stdio/sse/http)
                 - enable: 是否启用
                 - extra_args: 额外的配置参数 (可选)
         """
         uuid_ = server_config.get('uuid')
+        is_transient = False
         if not uuid_:
             self.ap.logger.warning('Server UUID is None for MCP server, maybe testing in the config page.')
             uuid_ = str(uuid_module.uuid4())
             server_config['uuid'] = uuid_
+            # No persisted UUID => this is a throwaway "test" session from the
+            # config page. Isolate it from the shared live Box session.
+            is_transient = True
 
         name = server_config['name']
         uuid = server_config['uuid']
@@ -353,6 +535,7 @@ class MCPLoader(loader.ToolLoader):
             'uuid': uuid,
             'mode': mode,
             'enable': enable,
+            '_transient': is_transient,
             **extra_args,
         }
 
@@ -431,12 +614,13 @@ class MCPLoader(loader.ToolLoader):
         """获取所有服务器的信息"""
         info = {}
         for server_name, session in self.sessions.items():
+            tools = session.get_tools()
             info[server_name] = {
                 'name': server_name,
                 'mode': session.server_config.get('mode'),
                 'enable': session.enable,
-                'tools_count': len(session.get_tools()),
-                'tool_names': [f.name for f in session.get_tools()],
+                'tools_count': len(tools),
+                'tool_names': [f.name for f in tools],
             }
         return info
 

src/langbot/pkg/provider/tools/loaders/mcp_stdio.py

@@ -0,0 +1,381 @@
+from __future__ import annotations
+
+import enum
+import asyncio
+import os
+import shutil
+import shlex
+from typing import TYPE_CHECKING, Any
+
+import pydantic
+from mcp import ClientSession
+from mcp.client.websocket import websocket_client
+from ....box.workspace import (
+    BoxWorkspaceSession,
+    classify_python_workspace,
+    infer_workspace_host_path,
+    normalize_host_path,
+    rewrite_mounted_path,
+    rewrite_venv_command,
+    unwrap_venv_path,
+)
+
+if TYPE_CHECKING:
+    from .mcp import RuntimeMCPSession
+
+
+class MCPSessionErrorPhase(enum.Enum):
+    """Which phase of the MCP lifecycle failed."""
+
+    SESSION_CREATE = 'session_create'
+    DEP_INSTALL = 'dep_install'
+    PROCESS_START = 'process_start'
+    RELAY_CONNECT = 'relay_connect'
+    MCP_INIT = 'mcp_init'
+    RUNTIME = 'runtime'
+    TOOL_CALL = 'tool_call'
+    # Stdio MCP refused because Box is disabled in config or currently
+    # unavailable. Not transient — retries would be pointless. The frontend
+    # uses this phase to render a localized actionable message instead of
+    # the raw RuntimeError text.
+    BOX_UNAVAILABLE = 'box_unavailable'
+
+
+class MCPServerBoxConfig(pydantic.BaseModel):
+    """Structured configuration for running an MCP server inside a Box container."""
+
+    image: str | None = None
+    network: str = 'on'  # MCP servers need network for dependency installation
+    host_path: str | None = None
+    host_path_mode: str = 'ro'  # MCP servers default to read-write mount only when explicitly requested
+    env: dict[str, str] = pydantic.Field(default_factory=dict)
+    startup_timeout_sec: int = 120  # Longer default to allow dependency bootstrap
+    cpus: float | None = None
+    memory_mb: int | None = None
+    pids_limit: int | None = None
+    read_only_rootfs: bool | None = None
+
+    model_config = pydantic.ConfigDict(extra='ignore')
+
+
+class BoxStdioSessionRuntime:
+    """Encapsulate Box-backed stdio MCP session orchestration."""
+
+    def __init__(self, owner: RuntimeMCPSession):
+        self.owner = owner
+        self.config = MCPServerBoxConfig.model_validate(owner.server_config.get('box', {}))
+
+    @property
+    def ap(self):
+        return self.owner.ap
+
+    @property
+    def server_name(self) -> str:
+        return self.owner.server_name
+
+    @property
+    def server_config(self) -> dict:
+        return self.owner.server_config
+
+    def _build_workspace(
+        self,
+        *,
+        host_path: str | None | object = ...,
+        workdir: str = '/workspace',
+        mount_path: str = '/workspace',
+    ) -> BoxWorkspaceSession:
+        resolved_host_path = self.resolve_host_path() if host_path is ... else host_path
+        return BoxWorkspaceSession(
+            self.ap.box_service,
+            self.owner._build_box_session_id(),
+            host_path=resolved_host_path,
+            host_path_mode=self.config.host_path_mode,
+            workdir=workdir,
+            env=self.config.env,
+            mount_path=mount_path,
+            network=self.config.network,
+            read_only_rootfs=self.config.read_only_rootfs if self.config.read_only_rootfs is not None else False,
+            image=self.config.image,
+            cpus=self.config.cpus,
+            memory_mb=self.config.memory_mb,
+            pids_limit=self.config.pids_limit,
+            persistent=True,
+        )
+
+    @property
+    def process_id(self) -> str:
+        """Each MCP server gets a unique process_id within the shared session."""
+        return self.owner.server_uuid
+
+    def uses_box_stdio(self) -> bool:
+        if self.server_config.get('mode') != 'stdio':
+            return False
+        box_service = getattr(self.ap, 'box_service', None)
+        if box_service is None:
+            return False
+        # When Box is configured but currently unavailable (disabled or
+        # connection failed), do NOT silently fall through to host-stdio —
+        # that would bypass the sandbox the operator asked for. The caller
+        # is expected to refuse the stdio MCP server with a clear error.
+        return bool(getattr(box_service, 'available', False))
+
+    async def initialize(self) -> None:
+        await self._wait_for_box_runtime()
+
+        # All stdio MCP servers share one Box session. Per-server host paths
+        # are staged into the shared workspace instead of becoming session
+        # mounts, because an existing Docker container cannot add bind mounts.
+        workspace = self._build_workspace(host_path=None)
+        host_path = self.resolve_host_path()
+        process_cwd = '/workspace'
+
+        try:
+            await workspace.create_session()
+        except Exception:
+            self.owner.error_phase = MCPSessionErrorPhase.SESSION_CREATE
+            raise
+
+        if host_path:
+            process_cwd = await self._stage_host_path_to_shared_workspace(host_path)
+            install_cmd = self.detect_install_command(host_path, process_cwd)
+            if install_cmd:
+                self.ap.logger.info(
+                    f'MCP server {self.server_name}: installing dependencies in Box with: {install_cmd}'
+                )
+                try:
+                    result = await workspace.execute_raw(
+                        install_cmd,
+                        workdir=process_cwd,
+                        timeout_sec=self.config.startup_timeout_sec or 120,
+                    )
+                except Exception:
+                    self.owner.error_phase = MCPSessionErrorPhase.DEP_INSTALL
+                    raise
+                if not result.ok:
+                    self.owner.error_phase = MCPSessionErrorPhase.DEP_INSTALL
+                    stderr_preview = (result.stderr or '')[:500]
+                    raise Exception(f'Dependency install failed (exit code {result.exit_code}): {stderr_preview}')
+
+        try:
+            process_workspace = (
+                self._build_workspace(host_path=host_path, workdir=process_cwd, mount_path=process_cwd)
+                if host_path
+                else workspace
+            )
+            payload = process_workspace.build_process_payload(
+                self.server_config['command'],
+                self.server_config.get('args', []),
+                env=self.server_config.get('env', {}),
+                cwd=process_cwd,
+            )
+            payload['process_id'] = self.process_id
+            await workspace.box_service.start_managed_process(workspace.session_id, payload)
+        except Exception:
+            self.owner.error_phase = MCPSessionErrorPhase.PROCESS_START
+            raise
+
+        try:
+            websocket_url = workspace.get_managed_process_websocket_url(self.process_id)
+            transport = await self.owner.exit_stack.enter_async_context(websocket_client(websocket_url))
+            read_stream, write_stream = transport
+            self.owner.session = await self.owner.exit_stack.enter_async_context(
+                ClientSession(read_stream, write_stream)
+            )
+        except Exception:
+            self.owner.error_phase = MCPSessionErrorPhase.RELAY_CONNECT
+            raise
+
+        try:
+            await self.owner.session.initialize()
+        except Exception:
+            self.owner.error_phase = MCPSessionErrorPhase.MCP_INIT
+            raise
+
+    async def monitor_process_health(self) -> None:
+        from langbot_plugin.box.models import BoxManagedProcessStatus
+
+        workspace = self._build_workspace()
+        consecutive_errors = 0
+        while not self.owner._shutdown_event.is_set():
+            try:
+                info = await workspace.get_managed_process(self.process_id)
+                if isinstance(info, dict):
+                    status = info.get('status', '')
+                else:
+                    status = getattr(info, 'status', '')
+                if status == BoxManagedProcessStatus.EXITED.value or status == BoxManagedProcessStatus.EXITED:
+                    return
+                consecutive_errors = 0
+            except Exception as exc:
+                consecutive_errors += 1
+                self.ap.logger.warning(
+                    f'MCP monitor for {self.server_name}: get_managed_process failed '
+                    f'({consecutive_errors}/{self.owner._MONITOR_MAX_CONSECUTIVE_ERRORS}): '
+                    f'{type(exc).__name__}: {exc}'
+                )
+                if consecutive_errors >= self.owner._MONITOR_MAX_CONSECUTIVE_ERRORS:
+                    return
+            await asyncio.sleep(self.owner._MONITOR_POLL_INTERVAL)
+
+    async def _stage_host_path_to_shared_workspace(self, host_path: str) -> str:
+        source_path = normalize_host_path(host_path)
+        if not source_path:
+            return '/workspace'
+        if not os.path.isdir(source_path):
+            raise FileNotFoundError(f'MCP host_path does not exist or is not a directory: {host_path}')
+
+        self._validate_host_path(source_path)
+
+        shared_host_path = self._shared_workspace_host_path()
+        process_host_root = os.path.join(shared_host_path, '.mcp', self.process_id)
+        process_host_workspace = os.path.join(process_host_root, 'workspace')
+        await asyncio.to_thread(self._copy_workspace_tree, source_path, process_host_root, process_host_workspace)
+        return f'/workspace/.mcp/{self.process_id}/workspace'
+
+    def _validate_host_path(self, host_path: str) -> None:
+        self.ap.box_service.build_spec(
+            {
+                'session_id': f'mcp-validate-{self.process_id}',
+                'host_path': host_path,
+                'host_path_mode': self.config.host_path_mode,
+                'network': self.config.network,
+                'read_only_rootfs': self.config.read_only_rootfs if self.config.read_only_rootfs is not None else False,
+            }
+        )
+
+    def _shared_workspace_host_path(self) -> str:
+        default_workspace = getattr(self.ap.box_service, 'default_workspace', None)
+        if not default_workspace:
+            raise RuntimeError('Box default workspace is required for shared MCP host_path staging')
+        shared_host_path = normalize_host_path(default_workspace)
+        os.makedirs(shared_host_path, exist_ok=True)
+        return shared_host_path
+
+    @staticmethod
+    def _copy_workspace_tree(source_path: str, process_host_root: str, process_host_workspace: str) -> None:
+        shutil.rmtree(process_host_root, ignore_errors=True)
+        os.makedirs(process_host_root, exist_ok=True)
+        shutil.copytree(
+            source_path,
+            process_host_workspace,
+            symlinks=True,
+            ignore=shutil.ignore_patterns('.git', '__pycache__', '.pytest_cache', '.mypy_cache', '.ruff_cache'),
+        )
+
+    async def _cleanup_staged_workspace(self) -> None:
+        if not self.resolve_host_path():
+            return
+        try:
+            process_host_root = os.path.join(self._shared_workspace_host_path(), '.mcp', self.process_id)
+            await asyncio.to_thread(shutil.rmtree, process_host_root, True)
+        except Exception as exc:
+            self.ap.logger.warning(
+                f'MCP server {self.server_name}: failed to clean staged workspace '
+                f'process_id={self.process_id}: {type(exc).__name__}: {exc}'
+            )
+
+    async def _wait_for_box_runtime(self) -> None:
+        timeout_sec = max(float(self.config.startup_timeout_sec or 120), 1.0)
+        deadline = asyncio.get_running_loop().time() + timeout_sec
+        warned = False
+        while not getattr(self.ap.box_service, 'available', False):
+            if not warned:
+                self.ap.logger.warning(
+                    f'MCP server {self.server_name}: waiting for Box runtime before starting stdio process'
+                )
+                warned = True
+            if asyncio.get_running_loop().time() >= deadline:
+                self.owner.error_phase = MCPSessionErrorPhase.SESSION_CREATE
+                raise Exception(f'Box runtime is not available after {int(timeout_sec)} seconds')
+            await asyncio.sleep(1)
+
+    async def cleanup_session(self) -> None:
+        if not self.uses_box_stdio():
+            return
+
+        workspace = self._build_workspace(host_path=None)
+
+        # Transient test sessions own their isolated Box session, so tear the
+        # whole session down rather than leaking it. This cannot affect live
+        # servers because they live in the separate shared session.
+        if getattr(self.owner, 'is_transient', False):
+            try:
+                await workspace.cleanup()
+            except Exception as exc:
+                self.ap.logger.warning(
+                    f'MCP server {self.server_name}: failed to delete transient test session '
+                    f'{self.owner._build_box_session_id()}: {type(exc).__name__}: {exc}'
+                )
+            await self._cleanup_staged_workspace()
+            return
+
+        # In the shared-session model, we do not delete the session itself.
+        # Stop only this MCP server's managed process; deleting the session
+        # would kill other MCP servers sharing the same container.
+        try:
+            await workspace.stop_managed_process(self.process_id)
+        except Exception as exc:
+            self.ap.logger.warning(
+                f'MCP server {self.server_name}: failed to stop managed process '
+                f'process_id={self.process_id}: {type(exc).__name__}: {exc}'
+            )
+            await self._cleanup_staged_workspace()
+            return
+        await self._cleanup_staged_workspace()
+        self.ap.logger.info(
+            f'MCP server {self.server_name}: stopped process_id={self.process_id} '
+            f'(shared session {self.owner._build_box_session_id()} kept alive)'
+        )
+
+    def rewrite_path(self, path: str, host_path: str | None) -> str:
+        return rewrite_mounted_path(path, host_path)
+
+    def infer_host_path(self) -> str | None:
+        return infer_workspace_host_path(self.server_config.get('command', ''), self.server_config.get('args', []))
+
+    @staticmethod
+    def unwrap_venv_path(directory: str) -> str:
+        return unwrap_venv_path(directory)
+
+    def resolve_host_path(self) -> str | None:
+        return self.config.host_path or self.infer_host_path()
+
+    @staticmethod
+    def detect_install_command(host_path: str, workspace_path: str = '/workspace') -> str | None:
+        workspace_kind = classify_python_workspace(host_path)
+        quoted_workspace_path = shlex.quote(workspace_path)
+        if workspace_kind == 'package':
+            return (
+                'mkdir -p /opt/_lb_src'
+                f' && tar -C {quoted_workspace_path}'
+                ' --exclude=.venv --exclude=.git --exclude=__pycache__'
+                ' --exclude=node_modules --exclude=.tox --exclude=.nox'
+                ' --exclude="*.egg-info" --exclude=.uv-cache'
+                ' -cf - .'
+                ' | tar -C /opt/_lb_src -xf -'
+                ' && pip install --no-cache-dir /opt/_lb_src'
+                ' && rm -rf /opt/_lb_src'
+            )
+        if workspace_kind == 'requirements':
+            return f'pip install --no-cache-dir -r {quoted_workspace_path}/requirements.txt'
+        return None
+
+    def build_box_session_payload(self, session_id: str, host_path: str | None = None) -> dict[str, Any]:
+        workspace = self._build_workspace()
+        workspace.session_id = session_id
+        if host_path is not None:
+            workspace.host_path = host_path
+        return workspace.build_session_payload()
+
+    def build_box_process_payload(self, host_path: str | None = None) -> dict[str, Any]:
+        workspace = self._build_workspace()
+        if host_path is not None:
+            workspace.host_path = host_path
+        return workspace.build_process_payload(
+            self.server_config['command'],
+            self.server_config.get('args', []),
+            env=self.server_config.get('env', {}),
+        )
+
+    def rewrite_venv_command(self, command: str, host_path: str) -> str:
+        return rewrite_venv_command(command, host_path)

src/langbot/pkg/provider/tools/loaders/native.py

@@ -0,0 +1,846 @@
+from __future__ import annotations
+
+import json
+import os
+
+import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
+from langbot_plugin.api.entities.events import pipeline_query
+
+from .. import loader
+from . import skill as skill_loader
+
+EXEC_TOOL_NAME = 'exec'
+READ_TOOL_NAME = 'read'
+WRITE_TOOL_NAME = 'write'
+EDIT_TOOL_NAME = 'edit'
+GLOB_TOOL_NAME = 'glob'
+GREP_TOOL_NAME = 'grep'
+
+_ALL_TOOL_NAMES = {EXEC_TOOL_NAME, READ_TOOL_NAME, WRITE_TOOL_NAME, EDIT_TOOL_NAME, GLOB_TOOL_NAME, GREP_TOOL_NAME}
+
+# Skip these dirs during grep walk to avoid noise
+_SKIP_DIRS = {'.git', 'node_modules', '__pycache__', '.venv', 'venv', '.tox', 'dist', 'build'}
+
+
+class NativeToolLoader(loader.ToolLoader):
+    def __init__(self, ap):
+        super().__init__(ap)
+        self._tools: list[resource_tool.LLMTool] | None = None
+        self._backend_available: bool | None = None
+
+    async def initialize(self):
+        """Check if backend is truly available at startup."""
+        self._backend_available = await self._check_backend_available()
+        if self._backend_available:
+            self.ap.logger.info('Native sandbox tools (exec/read/write/edit/glob/grep) are available.')
+        else:
+            self.ap.logger.warning(
+                'Native sandbox tools (exec/read/write/edit/glob/grep) are NOT available. '
+                'No sandbox backend (Docker/nsjail/E2B) is ready. '
+                'The LLM will not have access to code execution or file operation tools.'
+            )
+
+    async def _check_backend_available(self) -> bool:
+        """Check if the box backend is truly available (not just the runtime)."""
+        box_service = getattr(self.ap, 'box_service', None)
+        if box_service is None:
+            return False
+        if not getattr(box_service, 'available', False):
+            return False
+        # Check if backend is truly available via get_status
+        try:
+            status = await box_service.get_status()
+            backend_info = status.get('backend', {})
+            return backend_info.get('available', False)
+        except Exception:
+            return False
+
+    async def get_tools(self, bound_plugins: list[str] | None = None) -> list[resource_tool.LLMTool]:
+        if not self._is_sandbox_available():
+            return []
+        if self._tools is None:
+            self._tools = [
+                self._build_exec_tool(),
+                self._build_read_tool(),
+                self._build_write_tool(),
+                self._build_edit_tool(),
+                self._build_glob_tool(),
+                self._build_grep_tool(),
+            ]
+        return list(self._tools)
+
+    async def has_tool(self, name: str) -> bool:
+        return name in _ALL_TOOL_NAMES and self._is_sandbox_available()
+
+    async def invoke_tool(self, name: str, parameters: dict, query: pipeline_query.Query):
+        if name == EXEC_TOOL_NAME:
+            self.ap.logger.info(
+                'exec tool invoked: '
+                f'query_id={query.query_id} '
+                f'parameters={json.dumps(self._summarize_parameters(parameters), ensure_ascii=False)}'
+            )
+            return await self._invoke_exec(parameters, query)
+        if name == READ_TOOL_NAME:
+            return await self._invoke_read(parameters, query)
+        if name == WRITE_TOOL_NAME:
+            return await self._invoke_write(parameters, query)
+        if name == EDIT_TOOL_NAME:
+            return await self._invoke_edit(parameters, query)
+        if name == GLOB_TOOL_NAME:
+            return await self._invoke_glob(parameters, query)
+        if name == GREP_TOOL_NAME:
+            return await self._invoke_grep(parameters, query)
+        raise ValueError(f'未找到工具: {name}')
+
+    async def shutdown(self):
+        pass
+
+    async def _invoke_exec(self, parameters: dict, query: pipeline_query.Query) -> dict:
+        command = str(parameters['command'])
+        workdir = str(parameters.get('workdir', '/workspace') or '/workspace')
+
+        # Validate that skill references target activated skills.
+        selected_skill, _ = skill_loader.resolve_virtual_skill_path(
+            self.ap,
+            query,
+            workdir,
+            include_visible=False,
+            include_activated=True,
+        )
+        referenced_skill_names = skill_loader.find_referenced_skill_names(command)
+
+        if selected_skill is None and referenced_skill_names:
+            if len(referenced_skill_names) > 1:
+                raise ValueError('exec can target at most one activated skill package per call.')
+            selected_skill = skill_loader.get_activated_skill(query, referenced_skill_names[0])
+            if selected_skill is None:
+                raise ValueError(
+                    f'Skill "{referenced_skill_names[0]}" must be activated before exec can run in its package.'
+                )
+
+        if selected_skill is not None:
+            selected_skill_name = str(selected_skill.get('name', '') or '')
+            if referenced_skill_names and any(name != selected_skill_name for name in referenced_skill_names):
+                raise ValueError('exec can reference files from only one activated skill package per call.')
+
+            package_root = str(selected_skill.get('package_root', '') or '').strip()
+            if not package_root:
+                raise ValueError(f'Activated skill "{selected_skill_name}" has no package_root.')
+
+            # Wrap command with Python venv bootstrap if the skill has a Python project.
+            # The venv is created inside the skill's mount path.
+            skill_mount = f'/workspace/.skills/{selected_skill_name}'
+            if skill_loader.should_prepare_skill_python_env(package_root):
+                parameters = dict(parameters)
+                parameters['command'] = skill_loader.wrap_skill_command_with_python_env(command, mount_path=skill_mount)
+
+        # All exec calls (with or without skills) go through the same container
+        # via execute_tool. Skills are mounted at /workspace/.skills/{name}/
+        # via extra_mounts built by BoxService.
+        result = await self.ap.box_service.execute_tool(parameters, query)
+
+        if selected_skill is not None:
+            self._refresh_skill_from_disk(selected_skill)
+        return result
+
+    def _resolve_host_path(
+        self,
+        query: pipeline_query.Query,
+        sandbox_path: str,
+        *,
+        include_visible: bool,
+        include_activated: bool,
+    ) -> tuple[str, dict | None]:
+        selected_skill, rewritten_path = skill_loader.resolve_virtual_skill_path(
+            self.ap,
+            query,
+            sandbox_path,
+            include_visible=include_visible,
+            include_activated=include_activated,
+        )
+
+        box_service = self.ap.box_service
+        host_root = selected_skill.get('package_root') if selected_skill is not None else box_service.default_workspace
+        if not host_root:
+            raise ValueError('No host workspace configured for file operations.')
+
+        mount_path = '/workspace'
+        if not rewritten_path.startswith(mount_path):
+            raise ValueError(f'Path must be under {mount_path}.')
+
+        relative = rewritten_path[len(mount_path) :].lstrip('/')
+        host_path = os.path.realpath(os.path.join(host_root, relative))
+        host_root = os.path.realpath(host_root)
+
+        if not (host_path == host_root or host_path.startswith(host_root + os.sep)):
+            raise ValueError('Path escapes the workspace boundary.')
+
+        return host_path, selected_skill
+
+    def _resolve_skill_relative_path(
+        self,
+        query: pipeline_query.Query,
+        sandbox_path: str,
+        *,
+        include_visible: bool,
+        include_activated: bool,
+    ) -> tuple[dict, str] | None:
+        selected_skill, rewritten_path = skill_loader.resolve_virtual_skill_path(
+            self.ap,
+            query,
+            sandbox_path,
+            include_visible=include_visible,
+            include_activated=include_activated,
+        )
+        if selected_skill is None:
+            return None
+
+        mount_path = '/workspace'
+        if not rewritten_path.startswith(mount_path):
+            raise ValueError(f'Path must be under {mount_path}.')
+        relative = rewritten_path[len(mount_path) :].lstrip('/') or '.'
+        return selected_skill, relative
+
+    def _should_use_box_workspace_files(self, selected_skill: dict | None) -> bool:
+        if selected_skill is not None:
+            return False
+        box_service = getattr(self.ap, 'box_service', None)
+        if box_service is None or not hasattr(box_service, 'execute_tool'):
+            return False
+        default_workspace = getattr(box_service, 'default_workspace', None)
+        return bool(default_workspace and not os.path.isdir(os.path.realpath(default_workspace)))
+
+    async def _run_workspace_file_script(self, script: str, query: pipeline_query.Query) -> dict:
+        result = await self.ap.box_service.execute_tool(
+            {
+                'command': f"python - <<'PY'\n{script}\nPY",
+                'timeout_sec': 30,
+            },
+            query,
+        )
+        if not result.get('ok'):
+            return {'ok': False, 'error': result.get('stderr') or result.get('stdout') or 'Box execution failed'}
+        stdout = str(result.get('stdout') or '').strip()
+        try:
+            return json.loads(stdout.splitlines()[-1])
+        except Exception:
+            return {'ok': False, 'error': stdout or 'Box file operation returned no result'}
+
+    async def _read_workspace_via_box(self, path: str, query: pipeline_query.Query) -> dict:
+        script = f"""
+import json, os
+path = {json.dumps(path)}
+if not path.startswith('/workspace'):
+    print(json.dumps({{'ok': False, 'error': 'Path must be under /workspace.'}}))
+elif not os.path.exists(path):
+    print(json.dumps({{'ok': False, 'error': f'File not found: {{path}}'}}))
+elif os.path.isdir(path):
+    print(json.dumps({{'ok': True, 'content': '\\n'.join(sorted(os.listdir(path))), 'is_directory': True}}))
+else:
+    with open(path, 'r', encoding='utf-8', errors='replace') as f:
+        print(json.dumps({{'ok': True, 'content': f.read()}}))
+""".strip()
+        return await self._run_workspace_file_script(script, query)
+
+    async def _write_workspace_via_box(self, path: str, content: str, query: pipeline_query.Query) -> dict:
+        script = f"""
+import json, os
+path = {json.dumps(path)}
+content = {json.dumps(content)}
+if not path.startswith('/workspace'):
+    print(json.dumps({{'ok': False, 'error': 'Path must be under /workspace.'}}))
+else:
+    os.makedirs(os.path.dirname(path) or '/workspace', exist_ok=True)
+    with open(path, 'w', encoding='utf-8') as f:
+        f.write(content)
+    print(json.dumps({{'ok': True, 'path': path}}))
+""".strip()
+        return await self._run_workspace_file_script(script, query)
+
+    async def _edit_workspace_via_box(
+        self,
+        path: str,
+        old_string: str,
+        new_string: str,
+        query: pipeline_query.Query,
+    ) -> dict:
+        script = f"""
+import json, os
+path = {json.dumps(path)}
+old_string = {json.dumps(old_string)}
+new_string = {json.dumps(new_string)}
+if not path.startswith('/workspace'):
+    print(json.dumps({{'ok': False, 'error': 'Path must be under /workspace.'}}))
+elif not os.path.isfile(path):
+    print(json.dumps({{'ok': False, 'error': f'File not found: {{path}}'}}))
+else:
+    with open(path, 'r', encoding='utf-8', errors='replace') as f:
+        content = f.read()
+    count = content.count(old_string)
+    if count == 0:
+        print(json.dumps({{'ok': False, 'error': 'old_string not found in file.'}}))
+    elif count > 1:
+        print(json.dumps({{'ok': False, 'error': f'old_string matches {{count}} locations; provide a more unique string.'}}))
+    else:
+        with open(path, 'w', encoding='utf-8') as f:
+            f.write(content.replace(old_string, new_string, 1))
+        print(json.dumps({{'ok': True, 'path': path}}))
+""".strip()
+        return await self._run_workspace_file_script(script, query)
+
+    async def _glob_workspace_via_box(self, path: str, pattern: str, query: pipeline_query.Query) -> dict:
+        script = f"""
+import json, os
+from pathlib import Path
+path = {json.dumps(path)}
+pattern = {json.dumps(pattern)}
+skip_dirs = {json.dumps(sorted(_SKIP_DIRS))}
+if not path.startswith('/workspace'):
+    print(json.dumps({{'ok': False, 'error': 'Path must be under /workspace.'}}))
+elif not os.path.isdir(path):
+    print(json.dumps({{'ok': False, 'error': f'Path is not a directory: {{path}}'}}))
+else:
+    base = Path(path)
+    hits = [
+        item for item in base.rglob(pattern)
+        if not any(part in skip_dirs for part in item.parts)
+    ]
+    hits.sort(key=lambda item: item.stat().st_mtime if item.exists() else 0, reverse=True)
+    shown = hits[:100]
+    matches = []
+    for item in shown:
+        rel = os.path.relpath(str(item), path)
+        matches.append(os.path.join(path, rel).replace(os.sep, '/'))
+    print(json.dumps({{'ok': True, 'matches': matches, 'total': len(hits), 'truncated': len(hits) > 100}}))
+""".strip()
+        return await self._run_workspace_file_script(script, query)
+
+    async def _grep_workspace_via_box(
+        self,
+        path: str,
+        pattern: str,
+        include: str | None,
+        query: pipeline_query.Query,
+    ) -> dict:
+        script = f"""
+import json, os, re
+from pathlib import Path
+path = {json.dumps(path)}
+pattern = {json.dumps(pattern)}
+include = {json.dumps(include)}
+skip_dirs = {json.dumps(sorted(_SKIP_DIRS))}
+try:
+    regex = re.compile(pattern)
+except re.error as exc:
+    print(json.dumps({{'ok': False, 'error': f'Invalid regex: {{exc}}'}}))
+else:
+    if not path.startswith('/workspace'):
+        print(json.dumps({{'ok': False, 'error': 'Path must be under /workspace.'}}))
+    elif not os.path.exists(path):
+        print(json.dumps({{'ok': False, 'error': f'Path not found: {{path}}'}}))
+    else:
+        base = Path(path)
+        if base.is_file():
+            files = [base]
+        else:
+            files = []
+            for item in base.rglob(include or '*'):
+                if any(part in skip_dirs for part in item.parts):
+                    continue
+                if item.is_file():
+                    files.append(item)
+                if len(files) >= 5000:
+                    break
+
+        matches = []
+        for fp in files:
+            try:
+                text = fp.read_text(errors='ignore')
+            except OSError:
+                continue
+            for lineno, line in enumerate(text.splitlines(), 1):
+                if regex.search(line):
+                    if base.is_file():
+                        file_path = path
+                    else:
+                        rel = os.path.relpath(str(fp), path)
+                        file_path = os.path.join(path, rel).replace(os.sep, '/')
+                    matches.append({{'file': file_path, 'line': lineno, 'content': line.rstrip()}})
+                    if len(matches) >= 200:
+                        break
+            if len(matches) >= 200:
+                break
+
+        print(json.dumps({{'ok': True, 'matches': matches, 'total': len(matches), 'truncated': len(matches) >= 200}}))
+""".strip()
+        return await self._run_workspace_file_script(script, query)
+
+    async def _invoke_read(self, parameters: dict, query: pipeline_query.Query) -> dict:
+        path = parameters['path']
+        self.ap.logger.info(f'read tool invoked: query_id={query.query_id} path={path}')
+        skill_request = self._resolve_skill_relative_path(
+            query,
+            path,
+            include_visible=True,
+            include_activated=True,
+        )
+        if skill_request is not None and hasattr(self.ap.box_service, 'read_skill_file'):
+            selected_skill, relative = skill_request
+            try:
+                result = await self.ap.box_service.read_skill_file(selected_skill['name'], relative)
+                return {'ok': True, 'content': result.get('content', '')}
+            except Exception:
+                try:
+                    result = await self.ap.box_service.list_skill_files(selected_skill['name'], relative)
+                    entries = [entry['name'] for entry in result.get('entries', [])]
+                    return {'ok': True, 'content': '\n'.join(sorted(entries)), 'is_directory': True}
+                except Exception as exc:
+                    return {'ok': False, 'error': str(exc)}
+
+        host_path, selected_skill = self._resolve_host_path(
+            query,
+            path,
+            include_visible=True,
+            include_activated=True,
+        )
+        if self._should_use_box_workspace_files(selected_skill):
+            return await self._read_workspace_via_box(path, query)
+        if not os.path.exists(host_path):
+            return {'ok': False, 'error': f'File not found: {path}'}
+        if os.path.isdir(host_path):
+            entries = os.listdir(host_path)
+            return {'ok': True, 'content': '\n'.join(sorted(entries)), 'is_directory': True}
+        with open(host_path, 'r', errors='replace') as f:
+            content = f.read()
+        return {'ok': True, 'content': content}
+
+    async def _invoke_write(self, parameters: dict, query: pipeline_query.Query) -> dict:
+        path = parameters['path']
+        content = parameters['content']
+        self.ap.logger.info(f'write tool invoked: query_id={query.query_id} path={path} length={len(content)}')
+        skill_request = self._resolve_skill_relative_path(
+            query,
+            path,
+            include_visible=False,
+            include_activated=True,
+        )
+        if skill_request is not None and hasattr(self.ap.box_service, 'write_skill_file'):
+            selected_skill, relative = skill_request
+            await self.ap.box_service.write_skill_file(selected_skill['name'], relative, content)
+            await self.ap.skill_mgr.reload_skills()
+            return {'ok': True, 'path': path}
+
+        host_path, selected_skill = self._resolve_host_path(
+            query,
+            path,
+            include_visible=False,
+            include_activated=True,
+        )
+        if self._should_use_box_workspace_files(selected_skill):
+            return await self._write_workspace_via_box(path, content, query)
+        os.makedirs(os.path.dirname(host_path), exist_ok=True)
+        with open(host_path, 'w', encoding='utf-8') as f:
+            f.write(content)
+        self._refresh_skill_from_disk(selected_skill)
+        return {'ok': True, 'path': path}
+
+    async def _invoke_edit(self, parameters: dict, query: pipeline_query.Query) -> dict:
+        path = parameters['path']
+        old_string = parameters['old_string']
+        new_string = parameters['new_string']
+        self.ap.logger.info(
+            f'edit tool invoked: query_id={query.query_id} path={path} '
+            f'old_len={len(old_string)} new_len={len(new_string)}'
+        )
+        skill_request = self._resolve_skill_relative_path(
+            query,
+            path,
+            include_visible=False,
+            include_activated=True,
+        )
+        if (
+            skill_request is not None
+            and hasattr(self.ap.box_service, 'read_skill_file')
+            and hasattr(self.ap.box_service, 'write_skill_file')
+        ):
+            selected_skill, relative = skill_request
+            try:
+                result = await self.ap.box_service.read_skill_file(selected_skill['name'], relative)
+            except Exception:
+                return {'ok': False, 'error': f'File not found: {path}'}
+            content = result.get('content', '')
+            count = content.count(old_string)
+            if count == 0:
+                return {'ok': False, 'error': 'old_string not found in file.'}
+            if count > 1:
+                return {'ok': False, 'error': f'old_string matches {count} locations; provide a more unique string.'}
+            new_content = content.replace(old_string, new_string, 1)
+            await self.ap.box_service.write_skill_file(selected_skill['name'], relative, new_content)
+            await self.ap.skill_mgr.reload_skills()
+            return {'ok': True, 'path': path}
+
+        host_path, selected_skill = self._resolve_host_path(
+            query,
+            path,
+            include_visible=False,
+            include_activated=True,
+        )
+        if self._should_use_box_workspace_files(selected_skill):
+            return await self._edit_workspace_via_box(path, old_string, new_string, query)
+        if not os.path.isfile(host_path):
+            return {'ok': False, 'error': f'File not found: {path}'}
+        with open(host_path, 'r', encoding='utf-8', errors='replace') as f:
+            content = f.read()
+        count = content.count(old_string)
+        if count == 0:
+            return {'ok': False, 'error': 'old_string not found in file.'}
+        if count > 1:
+            return {'ok': False, 'error': f'old_string matches {count} locations; provide a more unique string.'}
+        new_content = content.replace(old_string, new_string, 1)
+        with open(host_path, 'w', encoding='utf-8') as f:
+            f.write(new_content)
+        self._refresh_skill_from_disk(selected_skill)
+        return {'ok': True, 'path': path}
+
+    def _refresh_skill_from_disk(self, selected_skill: dict | None) -> None:
+        if selected_skill is None:
+            return
+
+        skill_mgr = getattr(self.ap, 'skill_mgr', None)
+        if skill_mgr is None:
+            return
+
+        refresh_skill = getattr(skill_mgr, 'refresh_skill_from_disk', None)
+        if callable(refresh_skill):
+            refresh_skill(selected_skill.get('name', ''))
+
+    def _is_sandbox_available(self) -> bool:
+        """Check if sandbox backend is available.
+
+        This checks the cached backend availability from initialization,
+        not just whether the box_service process is running.
+        """
+        return bool(self._backend_available)
+
+    def _build_exec_tool(self) -> resource_tool.LLMTool:
+        return resource_tool.LLMTool(
+            name=EXEC_TOOL_NAME,
+            human_desc='Execute a command in an isolated environment',
+            description=(
+                'Run shell commands in an isolated execution environment. '
+                'Use this tool for bash commands, Python execution, and exact calculations over '
+                'user-provided data. Activated skill packages are addressable under '
+                '/workspace/.skills/<skill-name>; when running inside one, set workdir to that path. '
+                'To create a new skill package, prepare it under /workspace first, then use register_skill.'
+            ),
+            parameters={
+                'type': 'object',
+                'properties': {
+                    'command': {
+                        'type': 'string',
+                        'description': 'Shell command to execute.',
+                    },
+                    'workdir': {
+                        'type': 'string',
+                        'description': 'Working directory for the command. Defaults to /workspace.',
+                        'default': '/workspace',
+                    },
+                    'timeout_sec': {
+                        'type': 'integer',
+                        'description': 'Execution timeout in seconds. Defaults to 30.',
+                        'default': 30,
+                        'minimum': 1,
+                    },
+                    'env': {
+                        'type': 'object',
+                        'description': 'Optional environment variables for the execution.',
+                        'additionalProperties': {'type': 'string'},
+                        'default': {},
+                    },
+                    'description': {
+                        'type': 'string',
+                        'description': 'Brief description of what this command does, for logging and audit.',
+                    },
+                },
+                'required': ['command'],
+                'additionalProperties': False,
+            },
+            func=lambda parameters: parameters,
+        )
+
+    def _build_read_tool(self) -> resource_tool.LLMTool:
+        return resource_tool.LLMTool(
+            name=READ_TOOL_NAME,
+            human_desc='Read a file from the workspace',
+            description=(
+                'Read the contents of a file at the given path under /workspace. '
+                'Visible skill packages can be inspected through /workspace/.skills/<skill-name>/... .'
+            ),
+            parameters={
+                'type': 'object',
+                'properties': {
+                    'path': {
+                        'type': 'string',
+                        'description': 'Absolute path to the file (must be under /workspace).',
+                    },
+                },
+                'required': ['path'],
+                'additionalProperties': False,
+            },
+            func=lambda parameters: parameters,
+        )
+
+    def _build_write_tool(self) -> resource_tool.LLMTool:
+        return resource_tool.LLMTool(
+            name=WRITE_TOOL_NAME,
+            human_desc='Write a file to the workspace',
+            description=(
+                'Create or overwrite a file at the given path under /workspace with the provided content. '
+                'Activated skill packages can be modified through /workspace/.skills/<skill-name>/... . '
+                'For new skills, write files under /workspace and then call register_skill.'
+            ),
+            parameters={
+                'type': 'object',
+                'properties': {
+                    'path': {
+                        'type': 'string',
+                        'description': 'Absolute path to the file (must be under /workspace).',
+                    },
+                    'content': {
+                        'type': 'string',
+                        'description': 'Content to write to the file.',
+                    },
+                },
+                'required': ['path', 'content'],
+                'additionalProperties': False,
+            },
+            func=lambda parameters: parameters,
+        )
+
+    def _build_edit_tool(self) -> resource_tool.LLMTool:
+        return resource_tool.LLMTool(
+            name=EDIT_TOOL_NAME,
+            human_desc='Edit a file in the workspace',
+            description=(
+                'Perform an exact string replacement in a file under /workspace. '
+                'The old_string must appear exactly once in the file. Activated skill packages '
+                'can be edited through /workspace/.skills/<skill-name>/... . '
+                'For new skills, edit files under /workspace and then call register_skill.'
+            ),
+            parameters={
+                'type': 'object',
+                'properties': {
+                    'path': {
+                        'type': 'string',
+                        'description': 'Absolute path to the file (must be under /workspace).',
+                    },
+                    'old_string': {
+                        'type': 'string',
+                        'description': 'The exact string to find and replace.',
+                    },
+                    'new_string': {
+                        'type': 'string',
+                        'description': 'The replacement string.',
+                    },
+                },
+                'required': ['path', 'old_string', 'new_string'],
+                'additionalProperties': False,
+            },
+            func=lambda parameters: parameters,
+        )
+
+    def _build_glob_tool(self) -> resource_tool.LLMTool:
+        return resource_tool.LLMTool(
+            name=GLOB_TOOL_NAME,
+            human_desc='Find files matching a glob pattern',
+            description=(
+                'Find files matching a glob pattern under /workspace. '
+                'Supports ** for recursive matching (e.g. **/*.py). '
+                'Results are sorted by modification time (newest first). '
+                'Visible and activated skill packages can be searched through /workspace/.skills/<skill-name>/...'
+            ),
+            parameters={
+                'type': 'object',
+                'properties': {
+                    'pattern': {
+                        'type': 'string',
+                        'description': 'Glob pattern, e.g. **/*.py or src/**/*.ts',
+                    },
+                    'path': {
+                        'type': 'string',
+                        'description': 'Directory to search in (must be under /workspace, default: /workspace)',
+                        'default': '/workspace',
+                    },
+                },
+                'required': ['pattern'],
+                'additionalProperties': False,
+            },
+            func=lambda parameters: parameters,
+        )
+
+    def _build_grep_tool(self) -> resource_tool.LLMTool:
+        return resource_tool.LLMTool(
+            name=GREP_TOOL_NAME,
+            human_desc='Search file contents with regex',
+            description=(
+                'Search file contents with regex pattern under /workspace. '
+                'Returns matching lines with file path and line number. '
+                'Visible and activated skill packages can be searched through /workspace/.skills/<skill-name>/...'
+            ),
+            parameters={
+                'type': 'object',
+                'properties': {
+                    'pattern': {
+                        'type': 'string',
+                        'description': 'Regex pattern to search for',
+                    },
+                    'path': {
+                        'type': 'string',
+                        'description': 'File or directory to search (must be under /workspace, default: /workspace)',
+                        'default': '/workspace',
+                    },
+                    'include': {
+                        'type': 'string',
+                        'description': 'Only search files matching this glob (e.g. *.py)',
+                    },
+                },
+                'required': ['pattern'],
+                'additionalProperties': False,
+            },
+            func=lambda parameters: parameters,
+        )
+
+    async def _invoke_glob(self, parameters: dict, query: pipeline_query.Query) -> dict:
+        pattern = parameters['pattern']
+        path = str(parameters.get('path', '/workspace') or '/workspace')
+        self.ap.logger.info(f'glob tool invoked: query_id={query.query_id} pattern={pattern} path={path}')
+
+        host_path, selected_skill = self._resolve_host_path(
+            query,
+            path,
+            include_visible=True,
+            include_activated=True,
+        )
+        if self._should_use_box_workspace_files(selected_skill):
+            return await self._glob_workspace_via_box(path, pattern, query)
+
+        if not os.path.isdir(host_path):
+            return {'ok': False, 'error': f'Path is not a directory: {path}'}
+
+        from pathlib import Path
+
+        base = Path(host_path)
+        hits = list(base.rglob(pattern))
+
+        # Filter out skipped directories
+        hits = [h for h in hits if not any(skip in h.parts for skip in _SKIP_DIRS)]
+
+        # Sort by mtime, newest first
+        hits.sort(key=lambda p: p.stat().st_mtime if p.exists() else 0, reverse=True)
+
+        total = len(hits)
+        shown = hits[:100]
+
+        # Convert back to sandbox paths
+        sandbox_paths = []
+        for h in shown:
+            rel = os.path.relpath(str(h), host_path)
+            sandbox_path = os.path.join(path, rel)
+            sandbox_paths.append(sandbox_path)
+
+        result_lines = sandbox_paths
+        result = '\n'.join(result_lines)
+
+        if total > 100:
+            result += f'\n... ({total} matches, showing first 100)'
+
+        return {'ok': True, 'matches': result_lines, 'total': total, 'truncated': total > 100}
+
+    async def _invoke_grep(self, parameters: dict, query: pipeline_query.Query) -> dict:
+        pattern = parameters['pattern']
+        path = str(parameters.get('path', '/workspace') or '/workspace')
+        include = parameters.get('include')
+        self.ap.logger.info(f'grep tool invoked: query_id={query.query_id} pattern={pattern} path={path}')
+
+        import re
+        from pathlib import Path
+
+        try:
+            regex = re.compile(pattern)
+        except re.error as e:
+            return {'ok': False, 'error': f'Invalid regex: {e}'}
+
+        host_path, selected_skill = self._resolve_host_path(
+            query,
+            path,
+            include_visible=True,
+            include_activated=True,
+        )
+        if self._should_use_box_workspace_files(selected_skill):
+            return await self._grep_workspace_via_box(path, pattern, include, query)
+
+        if not os.path.exists(host_path):
+            return {'ok': False, 'error': f'Path not found: {path}'}
+
+        base = Path(host_path)
+
+        if base.is_file():
+            files = [base]
+        else:
+            files = self._grep_walk(base, include)
+
+        matches = []
+        for fp in files:
+            try:
+                text = fp.read_text(errors='ignore')
+            except OSError:
+                continue
+            for lineno, line in enumerate(text.splitlines(), 1):
+                if regex.search(line):
+                    rel = os.path.relpath(str(fp), host_path)
+                    sandbox_path = os.path.join(path, rel)
+                    matches.append(
+                        {
+                            'file': sandbox_path,
+                            'line': lineno,
+                            'content': line.rstrip(),
+                        }
+                    )
+                    if len(matches) >= 200:
+                        break
+            if len(matches) >= 200:
+                break
+
+        return {
+            'ok': True,
+            'matches': matches,
+            'total': len(matches),
+            'truncated': len(matches) >= 200,
+        }
+
+    @staticmethod
+    def _grep_walk(root, include: str | None) -> list:
+        """Walk dir tree for grep, skipping junk dirs."""
+        results = []
+        for item in root.rglob(include or '*'):
+            if any(skip in item.parts for skip in _SKIP_DIRS):
+                continue
+            if item.is_file():
+                results.append(item)
+            if len(results) >= 5000:
+                break
+        return results
+
+    def _summarize_parameters(self, parameters: dict) -> dict:
+        summary = dict(parameters)
+        cmd = str(summary.get('command', '')).strip()
+        if len(cmd) > 400:
+            cmd = f'{cmd[:397]}...'
+        summary['command'] = cmd
+
+        env = summary.get('env')
+        if isinstance(env, dict):
+            summary['env_keys'] = sorted(str(key) for key in env.keys())
+            del summary['env']
+
+        return summary

src/langbot/pkg/provider/tools/loaders/skill.py

@@ -0,0 +1,157 @@
+from __future__ import annotations
+
+import re
+import typing
+
+from ....box import workspace as box_workspace
+
+if typing.TYPE_CHECKING:
+    from ....core import app
+    from langbot_plugin.api.entities.events import pipeline_query
+
+ACTIVATED_SKILLS_KEY = '_activated_skills'
+PIPELINE_BOUND_SKILLS_KEY = '_pipeline_bound_skills'
+SKILL_MOUNT_PREFIX = '/workspace/.skills'
+_SKILL_MOUNT_PATTERN = re.compile(r'/workspace/\.skills/([A-Za-z0-9_-]+)')
+
+
+def get_virtual_skill_mount_path(skill_name: str) -> str:
+    return f'{SKILL_MOUNT_PREFIX}/{skill_name}'
+
+
+def get_bound_skill_names(query: pipeline_query.Query) -> list[str] | None:
+    if query.variables is None:
+        return None
+
+    bound_skills = query.variables.get(PIPELINE_BOUND_SKILLS_KEY)
+    if bound_skills is None:
+        return None
+    if isinstance(bound_skills, list):
+        return [str(item) for item in bound_skills]
+    return None
+
+
+def get_visible_skills(ap: app.Application, query: pipeline_query.Query) -> dict[str, dict]:
+    skill_mgr = getattr(ap, 'skill_mgr', None)
+    if skill_mgr is None:
+        return {}
+
+    visible_skills = getattr(skill_mgr, 'skills', {})
+    bound_skills = get_bound_skill_names(query)
+    if bound_skills is None:
+        return visible_skills
+
+    return {skill_name: skill_data for skill_name, skill_data in visible_skills.items() if skill_name in bound_skills}
+
+
+def get_visible_skill(ap: app.Application, query: pipeline_query.Query, skill_name: str) -> dict | None:
+    return get_visible_skills(ap, query).get(skill_name)
+
+
+def get_activated_skills(query: pipeline_query.Query) -> dict[str, dict]:
+    if query.variables is None:
+        return {}
+
+    activated = query.variables.get(ACTIVATED_SKILLS_KEY, {})
+    if not isinstance(activated, dict):
+        return {}
+    return activated
+
+
+def get_activated_skill(query: pipeline_query.Query, skill_name: str) -> dict | None:
+    return get_activated_skills(query).get(skill_name)
+
+
+def register_activated_skill(query: pipeline_query.Query, skill_data: dict) -> None:
+    if query.variables is None:
+        query.variables = {}
+
+    activated = query.variables.setdefault(ACTIVATED_SKILLS_KEY, {})
+    skill_name = str(skill_data.get('name', '') or '').strip()
+    if skill_name and skill_name not in activated:
+        activated[skill_name] = skill_data
+
+
+def parse_skill_mount_path(sandbox_path: str) -> tuple[str | None, str]:
+    normalized_path = str(sandbox_path or '/workspace').strip() or '/workspace'
+    if normalized_path == SKILL_MOUNT_PREFIX:
+        raise ValueError(f'Path must include a skill name under {SKILL_MOUNT_PREFIX}/<skill-name>.')
+    prefix = f'{SKILL_MOUNT_PREFIX}/'
+    if not normalized_path.startswith(prefix):
+        return None, normalized_path
+
+    remainder = normalized_path[len(prefix) :]
+    skill_name, separator, tail = remainder.partition('/')
+    if not skill_name:
+        raise ValueError(f'Path must include a skill name under {SKILL_MOUNT_PREFIX}/<skill-name>.')
+
+    rewritten_path = '/workspace'
+    if separator:
+        rewritten_path = f'/workspace/{tail}'
+    return skill_name, rewritten_path
+
+
+def resolve_virtual_skill_path(
+    ap: app.Application,
+    query: pipeline_query.Query,
+    sandbox_path: str,
+    *,
+    include_visible: bool,
+    include_activated: bool,
+) -> tuple[dict | None, str]:
+    skill_name, rewritten_path = parse_skill_mount_path(sandbox_path)
+    if skill_name is None:
+        return None, rewritten_path
+
+    if include_activated:
+        activated_skill = get_activated_skill(query, skill_name)
+        if activated_skill is not None:
+            return activated_skill, rewritten_path
+
+    if include_visible:
+        visible_skill = get_visible_skill(ap, query, skill_name)
+        if visible_skill is not None:
+            return visible_skill, rewritten_path
+
+    activated_names = ', '.join(sorted(get_activated_skills(query).keys())) or 'none'
+    visible_names = ', '.join(sorted(get_visible_skills(ap, query).keys())) or 'none'
+    raise ValueError(
+        f'Skill "{skill_name}" is not available at this path. '
+        f'Activated skills: {activated_names}. Visible skills: {visible_names}.'
+    )
+
+
+def find_referenced_skill_names(text: str) -> list[str]:
+    if not text:
+        return []
+
+    seen: list[str] = []
+    for match in _SKILL_MOUNT_PATTERN.findall(text):
+        if match not in seen:
+            seen.append(match)
+    return seen
+
+
+def rewrite_command_for_skill_mount(command: str, skill_name: str) -> str:
+    virtual_root = get_virtual_skill_mount_path(skill_name)
+    rewritten = command.replace(f'{virtual_root}/', '/workspace/')
+    return rewritten.replace(virtual_root, '/workspace')
+
+
+def build_skill_session_id(skill_data: dict, query: pipeline_query.Query) -> str:
+    skill_identifier = str(skill_data.get('name', 'unknown') or 'unknown')
+    launcher_type = getattr(query, 'launcher_type', None)
+    launcher_id = getattr(query, 'launcher_id', None)
+    query_id = getattr(query, 'query_id', 'unknown')
+
+    if launcher_type is not None and launcher_id is not None:
+        return f'skill-{launcher_type}_{launcher_id}-{skill_identifier}'
+    return f'skill-{query_id}-{skill_identifier}'
+
+
+def should_prepare_skill_python_env(package_root: str | None) -> bool:
+    return box_workspace.should_prepare_python_env(package_root)
+
+
+def wrap_skill_command_with_python_env(command: str, *, mount_path: str = '/workspace') -> str:
+    return box_workspace.wrap_python_command_with_env(command, mount_path=mount_path).rstrip()

src/langbot/pkg/provider/tools/loaders/skill_authoring.py

@@ -0,0 +1,304 @@
+from __future__ import annotations
+
+import os
+import typing
+
+import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
+
+from .. import loader
+
+# Align with Claude Code's Skill tool design:
+# - activate: Activate a skill via Tool Call, returns SKILL.md content
+# - register_skill: Register a skill from sandbox directory to data/skills/
+# - This protects KV Cache and follows industry standard
+
+ACTIVATE_SKILL_TOOL_NAME = 'activate'
+REGISTER_SKILL_TOOL_NAME = 'register_skill'
+
+SKILL_TOOL_NAMES = {
+    ACTIVATE_SKILL_TOOL_NAME,
+    REGISTER_SKILL_TOOL_NAME,
+}
+
+
+class SkillToolLoader(loader.ToolLoader):
+    """Skill tools aligned with Claude Code's design."""
+
+    def __init__(self, ap):
+        super().__init__(ap)
+        self._tools: list[resource_tool.LLMTool] = []
+        self._sandbox_available: bool = False
+
+    async def initialize(self):
+        # Check if sandbox backend is available (same check as native tools)
+        self._sandbox_available = await self._check_sandbox_available()
+        if self._sandbox_available:
+            self._tools = [
+                self._build_activate_skill_tool(),
+                self._build_register_skill_tool(),
+            ]
+        else:
+            self.ap.logger.info(
+                'Skill tools (activate/register_skill) are NOT available. '
+                'No sandbox backend (Docker/nsjail/E2B) is ready.'
+            )
+
+    async def _check_sandbox_available(self) -> bool:
+        """Check if the box backend is truly available (not just the runtime)."""
+        box_service = getattr(self.ap, 'box_service', None)
+        if box_service is None:
+            return False
+        if not getattr(box_service, 'available', False):
+            return False
+        # Check if backend is truly available via get_status
+        try:
+            status = await box_service.get_status()
+            backend_info = status.get('backend', {})
+            return backend_info.get('available', False)
+        except Exception:
+            return False
+
+    async def get_tools(self, bound_plugins: list[str] | None = None) -> list[resource_tool.LLMTool]:
+        if not self._is_available():
+            return []
+        return list(self._tools)
+
+    async def has_tool(self, name: str) -> bool:
+        return self._is_available() and name in SKILL_TOOL_NAMES
+
+    def _is_available(self) -> bool:
+        """Check if skill tools should be available.
+
+        Skill tools require both a skill manager and a sandbox backend.
+        """
+        return self._has_skill_manager() and self._sandbox_available
+
+    async def invoke_tool(self, name: str, parameters: dict, query) -> typing.Any:
+        if name == ACTIVATE_SKILL_TOOL_NAME:
+            return await self._invoke_activate_skill(parameters, query)
+        if name == REGISTER_SKILL_TOOL_NAME:
+            return await self._invoke_register_skill(parameters)
+        raise ValueError(f'Unknown skill tool: {name}')
+
+    async def shutdown(self):
+        pass
+
+    def _has_skill_manager(self) -> bool:
+        return getattr(self.ap, 'skill_mgr', None) is not None
+
+    async def _invoke_activate_skill(self, parameters: dict, query) -> typing.Any:
+        """Activate a skill and return SKILL.md content via Tool Result."""
+        skill_name = str(parameters.get('skill_name', '') or '').strip()
+        if not skill_name:
+            raise ValueError('skill_name is required')
+
+        skill_mgr = self.ap.skill_mgr
+        skill_data = skill_mgr.get_skill_by_name(skill_name)
+        if skill_data is None:
+            visible_skills = getattr(skill_mgr, 'skills', {})
+            available_names = ', '.join(sorted(visible_skills.keys())) or 'none'
+            raise ValueError(f'Skill "{skill_name}" not found. Available skills: {available_names}')
+
+        # Register activated skill for sandbox mount path resolution
+        from . import skill as skill_loader
+
+        skill_loader.register_activated_skill(query, skill_data)
+
+        # Return SKILL.md content as Tool Result (injects into context)
+        instructions = skill_data.get('instructions', '')
+        package_root = skill_data.get('package_root', '')
+        mount_path = skill_loader.get_virtual_skill_mount_path(skill_name)
+
+        # Build Tool Result content
+        result_content = f'<command-message>The "{skill_name}" skill is activated</command-message>\n'
+        result_content += '<skill-activation>\n'
+        result_content += f'<skill-name>{skill_name}</skill-name>\n'
+        result_content += f'<mount-path>{mount_path}</mount-path>\n'
+        result_content += f'<package-root>{package_root}</package-root>\n'
+        result_content += f'\n## Instructions\n{instructions}\n'
+        result_content += '\n## Runtime Context\n'
+        result_content += f'The skill package is mounted at {mount_path}. Use the standard tools to interact with it:\n'
+        result_content += f'- Use `read` to inspect files under {mount_path}\n'
+        result_content += f'- Use `exec` with workdir set to {mount_path} to run commands in that package\n'
+        result_content += '- Use `write` and `edit` on that path when the instructions require updating files\n'
+        result_content += '</skill-activation>\n'
+
+        return {
+            'activated': True,
+            'skill_name': skill_name,
+            'mount_path': mount_path,
+            'content': result_content,
+        }
+
+    async def _invoke_register_skill(self, parameters: dict) -> typing.Any:
+        """Register a skill from sandbox directory to data/skills/."""
+        sandbox_path = str(parameters.get('path', '') or '').strip()
+        if not sandbox_path:
+            raise ValueError('path is required')
+
+        # Resolve sandbox path to host path
+        host_path = self._resolve_workspace_directory(sandbox_path)
+
+        # Get or create skill service
+        skill_service = getattr(self.ap, 'skill_service', None)
+        if skill_service is None:
+            raise ValueError('Skill service not available')
+
+        # Scan and register the skill
+        scanned = await skill_service.scan_directory_async(host_path)
+
+        # Override name if provided
+        skill_name = str(parameters.get('name') or scanned['name']).strip()
+        if not skill_name:
+            raise ValueError('skill name is required')
+
+        # Create the skill
+        created = await skill_service.create_skill(
+            {
+                'name': skill_name,
+                'display_name': str(parameters.get('display_name') or scanned.get('display_name', '')).strip(),
+                'description': str(parameters.get('description') or scanned.get('description', '')).strip(),
+                'instructions': str(parameters.get('instructions') or scanned.get('instructions', '')),
+                'package_root': host_path,
+            }
+        )
+
+        return {
+            'registered': True,
+            'skill_name': skill_name,
+            'source_path': sandbox_path,
+            'skill': created,
+        }
+
+    def _resolve_workspace_directory(self, sandbox_path: str) -> str:
+        """Resolve sandbox path to host filesystem path."""
+        box_service = getattr(self.ap, 'box_service', None)
+        workspace_root = getattr(box_service, 'default_workspace', None)
+        if not workspace_root:
+            raise ValueError('No default workspace configured')
+
+        normalized_path = str(sandbox_path).strip() or '/workspace'
+        if not normalized_path.startswith('/workspace'):
+            raise ValueError('path must be under /workspace')
+
+        relative = normalized_path[len('/workspace') :].lstrip('/')
+        host_root = os.path.realpath(workspace_root)
+        host_path = os.path.realpath(os.path.join(host_root, relative))
+
+        # Security check: ensure path doesn't escape workspace
+        if not (host_path == host_root or host_path.startswith(host_root + os.sep)):
+            raise ValueError('path escapes the workspace boundary')
+
+        if getattr(box_service, 'available', False):
+            return host_path
+
+        if not os.path.isdir(host_path):
+            raise ValueError(f'Directory does not exist: {sandbox_path}')
+
+        return host_path
+
+    def _build_activate_skill_tool(self) -> resource_tool.LLMTool:
+        return resource_tool.LLMTool(
+            name=ACTIVATE_SKILL_TOOL_NAME,
+            human_desc='Activate a skill',
+            description=self._build_activate_tool_description(),
+            parameters={
+                'type': 'object',
+                'properties': {
+                    'skill_name': {
+                        'type': 'string',
+                        'description': 'The skill name to activate (no arguments). E.g., "pdf" or "data-analysis"',
+                    },
+                },
+                'required': ['skill_name'],
+                'additionalProperties': False,
+            },
+            func=lambda parameters: parameters,
+        )
+
+    def _build_register_skill_tool(self) -> resource_tool.LLMTool:
+        return resource_tool.LLMTool(
+            name=REGISTER_SKILL_TOOL_NAME,
+            human_desc='Register a skill from sandbox',
+            description=(
+                "Register a skill package from a directory under /workspace into LangBot's skill store. "
+                'Use this after creating or preparing a skill in the sandbox with exec/read/write/edit. '
+                'The directory must contain a SKILL.md file. '
+                'After registration, the skill can be activated with the activate tool.'
+            ),
+            parameters={
+                'type': 'object',
+                'properties': {
+                    'path': {
+                        'type': 'string',
+                        'description': 'Directory path under /workspace containing the skill package (must have SKILL.md)',
+                    },
+                    'name': {
+                        'type': 'string',
+                        'description': 'Optional skill name override. Defaults to the name in SKILL.md or directory name.',
+                    },
+                    'display_name': {
+                        'type': 'string',
+                        'description': 'Optional display name override.',
+                    },
+                    'description': {
+                        'type': 'string',
+                        'description': 'Optional description override.',
+                    },
+                    'instructions': {
+                        'type': 'string',
+                        'description': 'Optional instructions override.',
+                    },
+                },
+                'required': ['path'],
+                'additionalProperties': False,
+            },
+            func=lambda parameters: parameters,
+        )
+
+    def _build_activate_tool_description(self) -> str:
+        """Build tool description with embedded available_skills list."""
+        skill_mgr = getattr(self.ap, 'skill_mgr', None)
+        if skill_mgr is None:
+            return 'Activate a skill. No skills are currently available.'
+
+        skills = getattr(skill_mgr, 'skills', {})
+        if not skills:
+            return 'Activate a skill. No skills are currently available.'
+
+        # Build <available_skills> section
+        available_skills_lines = ['<available_skills>']
+        for skill_name, skill_data in sorted(skills.items()):
+            description = skill_data.get('description', '')
+            available_skills_lines.append('<skill>')
+            available_skills_lines.append(f'<name>{skill_name}</name>')
+            available_skills_lines.append(f'<description>{description}</description>')
+            available_skills_lines.append('</skill>')
+        available_skills_lines.append('</available_skills>')
+
+        available_skills_block = '\n'.join(available_skills_lines)
+
+        return f"""Activate a skill within the main conversation.
+
+<skills_instructions>
+When users ask you to perform tasks, check if any of the available skills
+below can help complete the task more effectively. Skills provide specialized
+capabilities and domain knowledge.
+
+How to use skills:
+- Invoke skills using this tool with the skill name only (no arguments)
+- When you invoke a skill, you will see <command-message>
+The skill is activated
+</command-message>
+- The skill's instructions will be provided in the tool result
+- Examples:
+  - skill_name: "pdf" - invoke the pdf skill
+  - skill_name: "data-analysis" - invoke the data-analysis skill
+
+Important:
+- Only use skills listed in <available_skills> below
+- Do not invoke a skill that is already running
+- To create a new skill: prepare it in /workspace, then use register_skill tool
+</skills_instructions>
+
+{available_skills_block}"""

src/langbot/pkg/provider/tools/toolmgr.py

@@ -1,15 +1,19 @@
 from __future__ import annotations
 
 import typing
+from typing import TYPE_CHECKING
 
-from ...core import app
-from langbot.pkg.utils import importutil
-from langbot.pkg.provider.tools import loaders
-from langbot.pkg.provider.tools.loaders import mcp as mcp_loader, plugin as plugin_loader
 import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
 from langbot_plugin.api.entities.events import pipeline_query
 
-importutil.import_modules_in_pkg(loaders)
+if TYPE_CHECKING:
+    from ...core import app
+    from langbot.pkg.provider.tools.loaders import (
+        mcp as mcp_loader,
+        native as native_loader,
+        plugin as plugin_loader,
+        skill_authoring as skill_authoring_loader,
+    )
 
 
 class ToolManager:
@@ -17,31 +21,53 @@ class ToolManager:
 
     ap: app.Application
 
+    native_tool_loader: native_loader.NativeToolLoader
     plugin_tool_loader: plugin_loader.PluginToolLoader
     mcp_tool_loader: mcp_loader.MCPLoader
+    skill_tool_loader: skill_authoring_loader.SkillToolLoader
 
     def __init__(self, ap: app.Application):
         self.ap = ap
 
     async def initialize(self):
+        from langbot.pkg.utils import importutil
+        from langbot.pkg.provider.tools import loaders
+        from langbot.pkg.provider.tools.loaders import (
+            mcp as mcp_loader,
+            native as native_loader,
+            plugin as plugin_loader,
+            skill_authoring as skill_authoring_loader,
+        )
+
+        importutil.import_modules_in_pkg(loaders)
+
+        self.native_tool_loader = native_loader.NativeToolLoader(self.ap)
+        await self.native_tool_loader.initialize()
+
         self.plugin_tool_loader = plugin_loader.PluginToolLoader(self.ap)
         await self.plugin_tool_loader.initialize()
         self.mcp_tool_loader = mcp_loader.MCPLoader(self.ap)
         await self.mcp_tool_loader.initialize()
+        self.skill_tool_loader = skill_authoring_loader.SkillToolLoader(self.ap)
+        await self.skill_tool_loader.initialize()
 
     async def get_all_tools(
-        self, bound_plugins: list[str] | None = None, bound_mcp_servers: list[str] | None = None
+        self,
+        bound_plugins: list[str] | None = None,
+        bound_mcp_servers: list[str] | None = None,
+        include_skill_authoring: bool = False,
     ) -> list[resource_tool.LLMTool]:
-        """获取所有函数"""
         all_functions: list[resource_tool.LLMTool] = []
 
+        all_functions.extend(await self.native_tool_loader.get_tools())
+        if include_skill_authoring:
+            all_functions.extend(await self.skill_tool_loader.get_tools())
         all_functions.extend(await self.plugin_tool_loader.get_tools(bound_plugins))
         all_functions.extend(await self.mcp_tool_loader.get_tools(bound_mcp_servers))
 
         return all_functions
 
     async def generate_tools_for_openai(self, use_funcs: list[resource_tool.LLMTool]) -> list:
-        """生成函数列表"""
         tools = []
 
         for function in use_funcs:
@@ -58,28 +84,6 @@ class ToolManager:
         return tools
 
     async def generate_tools_for_anthropic(self, use_funcs: list[resource_tool.LLMTool]) -> list:
-        """为anthropic生成函数列表
-
-        e.g.
-
-        [
-          {
-            "name": "get_stock_price",
-            "description": "Get the current stock price for a given ticker symbol.",
-            "input_schema": {
-              "type": "object",
-              "properties": {
-                "ticker": {
-                  "type": "string",
-                  "description": "The stock ticker symbol, e.g. AAPL for Apple Inc."
-                }
-              },
-              "required": ["ticker"]
-            }
-          }
-        ]
-        """
-
         tools = []
 
         for function in use_funcs:
@@ -93,16 +97,18 @@ class ToolManager:
         return tools
 
     async def execute_func_call(self, name: str, parameters: dict, query: pipeline_query.Query) -> typing.Any:
-        """执行函数调用"""
-
+        if await self.native_tool_loader.has_tool(name):
+            return await self.native_tool_loader.invoke_tool(name, parameters, query)
         if await self.plugin_tool_loader.has_tool(name):
             return await self.plugin_tool_loader.invoke_tool(name, parameters, query)
-        elif await self.mcp_tool_loader.has_tool(name):
+        if await self.mcp_tool_loader.has_tool(name):
             return await self.mcp_tool_loader.invoke_tool(name, parameters, query)
-        else:
-            raise ValueError(f'未找到工具: {name}')
+        if await self.skill_tool_loader.has_tool(name):
+            return await self.skill_tool_loader.invoke_tool(name, parameters, query)
+        raise ValueError(f'未找到工具: {name}')
 
     async def shutdown(self):
-        """关闭所有工具"""
+        await self.native_tool_loader.shutdown()
         await self.plugin_tool_loader.shutdown()
         await self.mcp_tool_loader.shutdown()
+        await self.skill_tool_loader.shutdown()

src/langbot/pkg/rag/service/runtime.py

@@ -1,8 +1,12 @@
 from __future__ import annotations
 
 import posixpath
-from typing import Any
-from langbot.pkg.core import app
+import re
+from typing import TYPE_CHECKING, Any
+from urllib.parse import unquote
+
+if TYPE_CHECKING:
+    from langbot.pkg.core import app
 
 
 class RAGRuntimeService:
@@ -109,8 +113,17 @@ class RAGRuntimeService:
         regardless of the underlying storage provider.
         """
         # Validate storage_path to prevent path traversal
-        normalized = posixpath.normpath(storage_path)
-        if normalized.startswith('/') or '..' in normalized.split('/'):
+        decoded_path = unquote(storage_path).replace('\\', '/')
+        decoded_segments = decoded_path.split('/')
+        normalized = posixpath.normpath(decoded_path)
+        if (
+            not storage_path
+            or '\x00' in decoded_path
+            or normalized.startswith('/')
+            or '..' in decoded_segments
+            or '..' in normalized.split('/')
+            or re.match(r'^[A-Za-z]:/', normalized)
+        ):
             raise ValueError('Invalid storage path')
         content_bytes = await self.ap.storage_mgr.storage_provider.load(normalized)
         return content_bytes if content_bytes else b''

src/langbot/pkg/skill/__init__.py

@@ -0,0 +1,3 @@
+from .manager import SkillManager
+
+__all__ = ['SkillManager']

src/langbot/pkg/skill/activation.py

@@ -0,0 +1,35 @@
+from __future__ import annotations
+
+import typing
+
+from ..provider.tools.loaders import skill as skill_loader
+
+if typing.TYPE_CHECKING:
+    from ..core import app
+    import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+
+
+# Skill activation is now handled through Tool Call mechanism (activate tool).
+# This file is kept for potential future extensions but the text marker
+# detection mechanism has been removed.
+
+
+def register_activated_skill(
+    ap: app.Application,
+    query: pipeline_query.Query,
+    skill_name: str,
+) -> bool:
+    """Register an activated skill for sandbox mount path resolution.
+
+    This is called by the activate tool when a skill is activated via Tool Call.
+    """
+    skill_mgr = getattr(ap, 'skill_mgr', None)
+    if skill_mgr is None:
+        return False
+
+    skill_data = skill_mgr.get_skill_by_name(skill_name)
+    if skill_data is None:
+        return False
+
+    skill_loader.register_activated_skill(query, skill_data)
+    return True

src/langbot/pkg/skill/manager.py

@@ -0,0 +1,142 @@
+from __future__ import annotations
+
+import os
+import typing
+
+from ..core import app
+
+if typing.TYPE_CHECKING:
+    pass
+
+
+class SkillManager:
+    """Skill manager backed by Box-managed or local filesystem packages.
+
+    In sandbox deployments, skills are loaded from the Box runtime. Local
+    data/skills remains as the fallback for non-Box development.
+
+    Skills are activated through the `activate` tool (Tool Call mechanism),
+    aligned with Claude Code's design. This protects KV Cache and follows
+    industry standard.
+    """
+
+    ap: app.Application
+    skills: dict[str, dict]
+
+    def __init__(self, ap: app.Application):
+        self.ap = ap
+        self.skills = {}
+
+    async def initialize(self):
+        await self.reload_skills()
+
+    async def reload_skills(self):
+        """Reload all skills from the Box runtime.
+
+        Box is the only source of truth for skills. When Box is unavailable
+        (disabled in config or unreachable) the cache is emptied — there is
+        no local filesystem fallback. Skills whose ``package_root`` is no
+        longer visible on the LangBot-side filesystem are dropped so they
+        don't surface as stale ``extra_mounts``.
+        """
+        self.skills = {}
+
+        box_service = getattr(self.ap, 'box_service', None)
+        if box_service is None or not getattr(box_service, 'available', False):
+            self.ap.logger.info('Box runtime unavailable; skill cache is empty.')
+            return
+
+        # LangBot may only validate Box-reported paths against its own
+        # filesystem when the two share one (local stdio mode). In separated
+        # deployments (Docker Compose, k8s sidecar, --standalone-box, remote
+        # endpoint) the package_root lives on the Box runtime's filesystem and
+        # is not resolvable here, so we trust what Box reports.
+        validate_locally = bool(getattr(box_service, 'shares_filesystem_with_box', False))
+
+        try:
+            dropped = 0
+            for skill_data in await box_service.list_skills():
+                skill_name = skill_data.get('name')
+                if not skill_name:
+                    continue
+                package_root = str(skill_data.get('package_root', '') or '').strip()
+                if validate_locally and package_root and not os.path.isdir(package_root):
+                    self.ap.logger.warning(
+                        f'Skill "{skill_name}" reported by Box runtime but '
+                        f'package_root missing on LangBot filesystem '
+                        f'({package_root}); dropping from in-memory cache.'
+                    )
+                    dropped += 1
+                    continue
+                self.skills[skill_name] = skill_data
+            if dropped:
+                self.ap.logger.warning(
+                    f'Loaded {len(self.skills)} skills from Box runtime '
+                    f'({dropped} dropped due to missing package_root).'
+                )
+            else:
+                self.ap.logger.info(f'Loaded {len(self.skills)} skills from Box runtime')
+        except Exception as exc:
+            self.ap.logger.warning(f'Failed to load skills from Box runtime: {exc}')
+
+    def refresh_skill_from_disk(self, skill_name: str) -> bool:
+        """Confirm a single skill is present in the cache.
+
+        With Box as the only source of truth, the actual reload is driven by
+        SkillService callers awaiting ``reload_skills``; this method only
+        reports whether the cache still has the skill.
+        """
+        if not skill_name:
+            return False
+        return skill_name in self.skills
+
+    def get_skill_by_name(self, name: str) -> dict | None:
+        """Get skill data by name."""
+        return self.skills.get(name)
+
+    def get_skill_index(self, bound_skills: list[str] | None = None) -> str:
+        """Render the pipeline-visible skills as a short ``name: description``
+        index suitable for the system prompt.
+
+        ``bound_skills`` follows the same convention as
+        ``query.variables['_pipeline_bound_skills']``: ``None`` means every
+        loaded skill is exposed; an explicit list filters to that subset.
+        Returns an empty string when no skills are visible.
+        """
+        lines: list[str] = []
+        for skill in self.skills.values():
+            name = skill.get('name')
+            if not name:
+                continue
+            if bound_skills is not None and name not in bound_skills:
+                continue
+            display = skill.get('display_name') or name
+            description = (skill.get('description') or '').strip().replace('\n', ' ')
+            lines.append(f'- {name} ({display}): {description}')
+
+        if not lines:
+            return ''
+        return 'Available Skills:\n' + '\n'.join(lines)
+
+    def build_skill_aware_prompt_addition(self, bound_skills: list[str] | None = None) -> str:
+        """Build the system-prompt addendum that makes the LLM aware of the
+        pipeline-visible skills.
+
+        Only metadata (name + description) is injected — the full SKILL.md is
+        loaded later via the ``activate`` Tool Call, protecting KV cache and
+        matching Claude Code's progressive disclosure pattern. Returns an
+        empty string when no skills are visible (no prompt change at all).
+        """
+        skill_index = self.get_skill_index(bound_skills)
+        if not skill_index:
+            return ''
+        return (
+            '\n\n'
+            f'{skill_index}\n\n'
+            "When the user's request clearly matches one or more skills "
+            'based on their descriptions above, call the `activate` tool with '
+            'the skill name to load its full instructions. Only the name and '
+            'description are visible here; the actual instructions arrive as '
+            'the tool result. If no skill is a clear match, respond normally '
+            'without activating any skill.'
+        )

src/langbot/pkg/skill/utils.py

@@ -0,0 +1,37 @@
+"""Shared utilities for skill file parsing."""
+
+import yaml
+
+
+def parse_frontmatter(content: str) -> tuple[dict, str]:
+    """Parse YAML frontmatter from markdown content.
+
+    Expects format:
+        ---
+        name: my-skill
+        description: Does something
+        ---
+        # Actual instructions...
+
+    Returns:
+        Tuple of (metadata dict, remaining content)
+    """
+    if not content.startswith('---'):
+        return {}, content
+
+    parts = content.split('---', 2)
+    if len(parts) < 3:
+        return {}, content
+
+    frontmatter_str = parts[1].strip()
+    instructions = parts[2].strip()
+
+    try:
+        metadata = yaml.safe_load(frontmatter_str) or {}
+    except yaml.YAMLError:
+        metadata = {}
+
+    if not isinstance(metadata, dict):
+        metadata = {}
+
+    return metadata, instructions

src/langbot/pkg/telemetry/telemetry.py

@@ -13,12 +13,11 @@ class TelemetryManager:
         await telemetry.send({ ... })
     """
 
-    send_tasks: list[asyncio.Task] = []
-
     def __init__(self, ap: core_app.Application):
         self.ap = ap
 
         self.telemetry_config = {}
+        self.send_tasks: list[asyncio.Task] = []
 
     async def initialize(self):
         self.telemetry_config = self.ap.instance_config.data.get('space', {})

src/langbot/pkg/utils/funcschema.py

@@ -83,7 +83,7 @@ def get_func_schema(function: typing.Callable) -> dict:
 
         parameters['properties'][param.name] = {
             'type': param_type,
-            'description': args_doc[param.name],
+            'description': args_doc.get(param.name, ''),
         }
 
         # add schema for array

src/langbot/pkg/utils/image.py

@@ -145,7 +145,8 @@ def get_qq_image_downloadable_url(image_url: str) -> tuple[str, dict]:
     """获取QQ图片的下载链接"""
     parsed = urlparse(image_url)
     query = parse_qs(parsed.query)
-    return f'http://{parsed.netloc}{parsed.path}', query
+    scheme = parsed.scheme or 'http'
+    return f'{scheme}://{parsed.netloc}{parsed.path}', query
 
 
 async def get_qq_image_bytes(image_url: str, query: dict = {}) -> tuple[bytes, str]:

src/langbot/pkg/utils/managed_runtime.py

@@ -0,0 +1,88 @@
+"""Base class for connectors that may manage a local runtime subprocess."""
+
+from __future__ import annotations
+
+import asyncio
+import os
+import sys
+from typing import TYPE_CHECKING, Awaitable, Callable
+
+if TYPE_CHECKING:
+    from ..core import app as core_app
+
+
+class ManagedRuntimeConnector:
+    """Base class for connectors that may manage a local runtime subprocess.
+
+    Provides shared lifecycle helpers: subprocess launch, health-check retry,
+    and graceful termination.  Concrete connectors (plugin, box, …) inherit
+    this and add their own protocol-specific logic.
+    """
+
+    ap: 'core_app.Application'
+    runtime_subprocess: asyncio.subprocess.Process | None
+    runtime_subprocess_task: asyncio.Task | None
+
+    def __init__(self, ap: 'core_app.Application'):
+        self.ap = ap
+        self.runtime_subprocess = None
+        self.runtime_subprocess_task = None
+
+    async def _start_runtime_subprocess(self, *args: str) -> None:
+        """Launch a local runtime as a subprocess of the current Python interpreter.
+
+        If a subprocess is already running (no *returncode* yet), this is a no-op.
+        """
+        if self.runtime_subprocess is not None and self.runtime_subprocess.returncode is None:
+            return
+
+        python_path = sys.executable
+        env = os.environ.copy()
+        self.runtime_subprocess = await asyncio.create_subprocess_exec(
+            python_path,
+            *args,
+            env=env,
+        )
+        self.runtime_subprocess_task = asyncio.create_task(self.runtime_subprocess.wait())
+
+    async def _wait_until_ready(
+        self,
+        check: Callable[[], Awaitable[None]],
+        retries: int = 40,
+        interval: float = 0.25,
+        runtime_name: str = 'runtime',
+    ) -> None:
+        """Repeatedly call *check* until it succeeds or retries are exhausted.
+
+        Between attempts the method sleeps for *interval* seconds.  If the
+        managed subprocess exits before readiness is confirmed, a
+        ``RuntimeError`` is raised immediately.
+        """
+        last_exc: Exception | None = None
+        for _ in range(retries):
+            # Fast-fail if the process already died.
+            if self.runtime_subprocess is not None and self.runtime_subprocess.returncode is not None:
+                raise RuntimeError(
+                    f'local {runtime_name} exited before becoming ready (code {self.runtime_subprocess.returncode})'
+                )
+
+            try:
+                await check()
+                return
+            except Exception as exc:
+                last_exc = exc
+                await asyncio.sleep(interval)
+
+        if last_exc is not None:
+            raise last_exc
+        raise RuntimeError(f'local {runtime_name} did not become ready')
+
+    def _dispose_subprocess(self) -> None:
+        """Terminate the managed subprocess and cancel its wait task."""
+        if self.runtime_subprocess is not None and self.runtime_subprocess.returncode is None:
+            self.ap.logger.info('Terminating managed runtime process...')
+            self.runtime_subprocess.terminate()
+
+        if self.runtime_subprocess_task is not None:
+            self.runtime_subprocess_task.cancel()
+            self.runtime_subprocess_task = None

src/langbot/pkg/utils/paths.py

@@ -1,37 +1,70 @@
-"""Utility functions for finding package resources"""
+"""Utility functions for finding package resources and runtime data roots."""
 
 import os
 from pathlib import Path
 
 
 _is_source_install = None
+_source_root = None
+
+
+def _find_source_root() -> Path | None:
+    """Locate the LangBot repository root when running from source."""
+    global _source_root
+
+    if _source_root is not None:
+        return _source_root
+
+    current = Path(__file__).resolve()
+    for parent in current.parents:
+        if (parent / 'pyproject.toml').exists() and (parent / 'main.py').exists():
+            _source_root = parent
+            return parent
+
+    _source_root = None
+    return None
 
 
 def _check_if_source_install() -> bool:
     """
-    Check if we're running from source directory or an installed package.
-    Cached to avoid repeated file I/O.
+    Check if we're running from the LangBot source tree.
+    Cached to avoid repeated filesystem scans.
     """
     global _is_source_install
 
     if _is_source_install is not None:
         return _is_source_install
 
-    # Check if main.py exists in current directory with LangBot marker
-    if os.path.exists('main.py'):
-        try:
-            with open('main.py', 'r', encoding='utf-8') as f:
-                # Only read first 500 chars to check for marker
-                content = f.read(500)
-                if 'LangBot/main.py' in content:
-                    _is_source_install = True
-                    return True
-        except (IOError, OSError, UnicodeDecodeError):
-            # If we can't read the file, assume not a source install
-            pass
+    _is_source_install = _find_source_root() is not None
+    return _is_source_install
 
-    _is_source_install = False
-    return False
+
+def get_data_root() -> str:
+    """
+    Get the runtime data root.
+
+    Priority:
+    1. LANGBOT_DATA_ROOT environment override
+    2. Source checkout root /data when running from source
+    3. Current working directory /data for installed-package usage
+    """
+    env_root = os.environ.get('LANGBOT_DATA_ROOT', '').strip()
+    if env_root:
+        return str(Path(env_root).expanduser().resolve())
+
+    source_root = _find_source_root()
+    if source_root is not None:
+        return str((source_root / 'data').resolve())
+
+    return str((Path.cwd() / 'data').resolve())
+
+
+def get_data_path(*parts: str) -> str:
+    """Join path segments under the resolved data root."""
+    data_root = Path(get_data_root())
+    if not parts:
+        return str(data_root)
+    return str((data_root.joinpath(*parts)).resolve())
 
 
 def get_frontend_path() -> str:
@@ -76,8 +109,11 @@ def get_resource_path(resource: str) -> str:
         Absolute path to the resource
     """
     # First, check if resource exists in current directory (source install)
-    if _check_if_source_install() and os.path.exists(resource):
-        return resource
+    source_root = _find_source_root()
+    if source_root is not None:
+        source_resource = source_root / resource
+        if source_resource.exists():
+            return str(source_resource)
 
     # Second, check current directory anyway
     if os.path.exists(resource):

src/langbot/pkg/utils/pkgmgr.py

@@ -23,7 +23,10 @@ def run_pip(params: list):
     pipmain(params)
 
 
-def install_requirements(file, extra_params: list = []):
+def install_requirements(file, extra_params: list | None = None):
+    if extra_params is None:
+        extra_params = []
+
     pipmain(
         [
             'install',

src/langbot/pkg/utils/platform.py

@@ -16,7 +16,14 @@ def get_platform() -> str:
 
 standalone_runtime = False
 
+standalone_box = False
+
 
 def use_websocket_to_connect_plugin_runtime() -> bool:
     """是否使用 websocket 连接插件运行时"""
     return standalone_runtime
+
+
+def use_websocket_to_connect_box_runtime() -> bool:
+    """Whether to use WebSocket to connect to an external box runtime."""
+    return standalone_box

src/langbot/pkg/utils/runner.py

@@ -1,5 +1,7 @@
 from __future__ import annotations
 
+import ipaddress
+import re
 from urllib.parse import urlparse
 
 
@@ -44,6 +46,40 @@ LOCAL_PATTERNS = [
     '172.31.',
 ]
 
+HOST_LABEL_PATTERN = re.compile(r'^[a-z0-9](?:[a-z0-9-]{0,61}[a-z0-9])?$')
+
+
+def _is_valid_hostname(host: str) -> bool:
+    if host == 'localhost':
+        return True
+
+    try:
+        ipaddress.ip_address(host)
+        return True
+    except ValueError:
+        pass
+
+    if not host or len(host) > 253 or any(char.isspace() for char in host):
+        return False
+
+    host = host.rstrip('.')
+    if not host:
+        return False
+
+    return all(HOST_LABEL_PATTERN.match(label) for label in host.split('.'))
+
+
+def _is_local_host(host: str) -> bool:
+    if host == 'localhost':
+        return True
+
+    try:
+        ip_address = ipaddress.ip_address(host)
+    except ValueError:
+        return False
+
+    return ip_address.is_private or ip_address.is_loopback or ip_address.is_unspecified
+
 
 def get_runner_category(runner_name: str, runner_url: str) -> str:
     if not runner_url:
@@ -52,12 +88,15 @@ def get_runner_category(runner_name: str, runner_url: str) -> str:
     try:
         parsed_url = urlparse(runner_url)
         host = parsed_url.hostname.lower() if parsed_url.hostname else ''
+        _ = parsed_url.port
     except Exception:
         return RunnerCategory.UNKNOWN
 
-    for pattern in LOCAL_PATTERNS:
-        if host.startswith(pattern):
-            return RunnerCategory.LOCAL
+    if not parsed_url.scheme or not host or not _is_valid_hostname(host):
+        return RunnerCategory.UNKNOWN
+
+    if _is_local_host(host):
+        return RunnerCategory.LOCAL
 
     for domain in CLOUD_DOMAINS:
         if host.endswith(domain):

src/langbot/pkg/utils/version.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import os
 import typing
 import logging
 
@@ -11,7 +10,7 @@ from . import constants
 
 
 class VersionManager:
-    """版本管理器"""
+    """Version manager"""
 
     ap: app.Application
 
@@ -22,190 +21,68 @@ class VersionManager:
         pass
 
     def get_current_version(self) -> str:
-        current_tag = constants.semantic_version
-
-        return current_tag
+        return constants.semantic_version
 
     async def get_release_list(self) -> list:
-        """获取发行列表"""
+        """Fetch release list from Space API (cached GitHub releases)."""
         try:
             rls_list_resp = requests.get(
-                url='https://api.github.com/repos/langbot-app/LangBot/releases',
+                url='https://space.langbot.app/api/v1/dist/info/releases',
                 proxies=self.ap.proxy_mgr.get_forward_proxies(),
-                timeout=5,
+                timeout=10,
             )
-            rls_list_resp.raise_for_status()  # 检查请求是否成功
-            rls_list = rls_list_resp.json()
-            return rls_list
+            rls_list_resp.raise_for_status()
+            resp_json = rls_list_resp.json()
+            if resp_json.get('code') == 0 and isinstance(resp_json.get('data'), list):
+                return resp_json['data']
+            self.ap.logger.warning(f'Failed to fetch release list: unexpected response: {resp_json.get("msg", "")}')
+            return []
         except Exception as e:
-            self.ap.logger.warning(f'获取发行列表失败: {e}')
-            pass
+            self.ap.logger.warning(f'Failed to fetch release list: {e}')
         return []
 
-    async def update_all(self):
-        """检查更新并下载源码"""
-
-        current_tag = self.get_current_version()
-
-        rls_list = await self.get_release_list()
-
-        latest_rls = {}
-        rls_notes = []
-        latest_tag_name = ''
-        for rls in rls_list:
-            rls_notes.append(rls['name'])  # 使用发行名称作为note
-            if latest_tag_name == '':
-                latest_tag_name = rls['tag_name']
-
-            if rls['tag_name'] == current_tag:
-                break
-
-            if latest_rls == {}:
-                latest_rls = rls
-        self.ap.logger.info('更新日志: {}'.format(rls_notes))
-
-        if latest_rls == {} and not self.is_newer(latest_tag_name, current_tag):  # 没有新版本
-            return False
-
-        # 下载最新版本的zip到temp目录
-        self.ap.logger.info('开始下载最新版本: {}'.format(latest_rls['zipball_url']))
-
-        zip_url = latest_rls['zipball_url']
-        zip_resp = requests.get(url=zip_url, proxies=self.ap.proxy_mgr.get_forward_proxies())
-        zip_data = zip_resp.content
-
-        # 检查temp/updater目录
-        if not os.path.exists('temp'):
-            os.mkdir('temp')
-        if not os.path.exists('temp/updater'):
-            os.mkdir('temp/updater')
-        with open('temp/updater/{}.zip'.format(latest_rls['tag_name']), 'wb') as f:
-            f.write(zip_data)
-
-        self.ap.logger.info('下载最新版本完成: {}'.format('temp/updater/{}.zip'.format(latest_rls['tag_name'])))
-
-        # 解压zip到temp/updater/<tag_name>/
-        import zipfile
-
-        # 检查目标文件夹
-        if os.path.exists('temp/updater/{}'.format(latest_rls['tag_name'])):
-            import shutil
-
-            shutil.rmtree('temp/updater/{}'.format(latest_rls['tag_name']))
-        os.mkdir('temp/updater/{}'.format(latest_rls['tag_name']))
-        with zipfile.ZipFile('temp/updater/{}.zip'.format(latest_rls['tag_name']), 'r') as zip_ref:
-            zip_ref.extractall('temp/updater/{}'.format(latest_rls['tag_name']))
-
-        # 覆盖源码
-        source_root = ''
-        # 找到temp/updater/<tag_name>/中的第一个子目录路径
-        for root, dirs, files in os.walk('temp/updater/{}'.format(latest_rls['tag_name'])):
-            if root != 'temp/updater/{}'.format(latest_rls['tag_name']):
-                source_root = root
-                break
-
-        # 覆盖源码
-        import shutil
-
-        for root, dirs, files in os.walk(source_root):
-            # 覆盖所有子文件子目录
-            for file in files:
-                src = os.path.join(root, file)
-                dst = src.replace(source_root, '.')
-                if os.path.exists(dst):
-                    os.remove(dst)
-
-                # 检查目标文件夹是否存在
-                if not os.path.exists(os.path.dirname(dst)):
-                    os.makedirs(os.path.dirname(dst))
-                # 检查目标文件是否存在
-                if not os.path.exists(dst):
-                    # 创建目标文件
-                    open(dst, 'w').close()
-
-                shutil.copy(src, dst)
-
-        # 把current_tag写入文件
-        current_tag = latest_rls['tag_name']
-        with open('current_tag', 'w') as f:
-            f.write(current_tag)
-
-        # TODO statistics
-
     async def is_new_version_available(self) -> bool:
-        """检查是否有新版本"""
-        # 从github获取release列表
+        """Check whether a newer version is available."""
         rls_list = await self.get_release_list()
-        if rls_list is None:
+        if not rls_list:
             return False
 
-        # 获取当前版本
         current_tag = self.get_current_version()
 
-        # 检查是否有新版本
         latest_tag_name = ''
         for rls in rls_list:
-            if latest_tag_name == '':
-                latest_tag_name = rls['tag_name']
-                break
+            latest_tag_name = rls.get('tag_name', '')
+            break
 
-        return self.is_newer(latest_tag_name, current_tag)
+        return self._is_newer(latest_tag_name, current_tag)
 
-    def is_newer(self, new_tag: str, old_tag: str):
-        """判断版本是否更新，忽略第四位版本和第一位版本"""
-        if new_tag == old_tag:
+    def _is_newer(self, new_tag: str, old_tag: str) -> bool:
+        """Check if new_tag is a newer version than old_tag.
+
+        Compares the first three segments (major.minor.patch) only.
+        Returns False if the major version differs (breaking change boundary).
+        """
+        if not new_tag or not old_tag or new_tag == old_tag:
             return False
 
-        new_tag = new_tag.split('.')
-        old_tag = old_tag.split('.')
+        new_parts = new_tag.split('.')
+        old_parts = old_tag.split('.')
 
-        # 判断主版本是否相同
-        if new_tag[0] != old_tag[0]:
+        # Different major version — not considered an upgrade
+        if new_parts[0] != old_parts[0]:
             return False
 
-        if len(new_tag) < 4:
+        if len(new_parts) < 4:
             return True
 
-        # 合成前三段，判断是否相同
-        new_tag = '.'.join(new_tag[:3])
-        old_tag = '.'.join(old_tag[:3])
-
-        return new_tag != old_tag
-
-    def compare_version_str(v0: str, v1: str) -> int:
-        """比较两个版本号"""
-
-        # 删除版本号前的v
-        if v0.startswith('v'):
-            v0 = v0[1:]
-        if v1.startswith('v'):
-            v1 = v1[1:]
-
-        v0: list = v0.split('.')
-        v1: list = v1.split('.')
-
-        # 如果两个版本号节数不同，把短的后面用0补齐
-        if len(v0) < len(v1):
-            v0.extend(['0'] * (len(v1) - len(v0)))
-        elif len(v0) > len(v1):
-            v1.extend(['0'] * (len(v0) - len(v1)))
-
-        # 从高位向低位比较
-        for i in range(len(v0)):
-            if int(v0[i]) > int(v1[i]):
-                return 1
-            elif int(v0[i]) < int(v1[i]):
-                return -1
-
-        return 0
+        return '.'.join(new_parts[:3]) != '.'.join(old_parts[:3])
 
     async def show_version_update(self) -> typing.Tuple[str, int]:
         try:
-            if await self.ap.ver_mgr.is_new_version_available():
+            if await self.is_new_version_available():
                 return (
-                    'New version available:\n有新版本可用，根据文档更新: \nhttps://link.langbot.app/zh/docs/update',
+                    'New version available. Update guide: https://link.langbot.app/en/docs/update',
                     logging.INFO,
                 )
-
         except Exception as e:
             return f'Error checking version update: {e}', logging.WARNING

src/langbot/templates/config.yaml

@@ -21,10 +21,23 @@ system:
     recovery_key: ''
     allow_modify_login_info: true
     disabled_adapters: []
+    # Public outbound IP addresses of this LangBot deployment. Some platforms
+    # (e.g. WeCom, WeChat Official Account, QQ Official API) require the
+    # caller's IPs to be added to their trusted-IP / IP-whitelist settings.
+    # When set, the web UI shows these IPs on the bot config form of such
+    # adapters. Also settable via the SYSTEM__OUTBOUND_IPS env var
+    # (comma-separated). Empty list = hidden in the web UI.
+    outbound_ips: []
     limitation:
         max_bots: -1
         max_pipelines: -1
         max_extensions: -1
+        # When set to a non-empty string, every pipeline is forced to use this
+        # Box sandbox-scope template regardless of its own configuration, and
+        # the per-pipeline "Sandbox Scope" selector is locked in the web UI.
+        # Used by SaaS deployments to confine a tenant to a single shared
+        # sandbox (set to '{global}'). Empty string = no restriction.
+        force_box_session_id_template: ''
     task_retention:
         # Keep at most this many completed async task records in memory
         completed_limit: 200
@@ -104,6 +117,31 @@ monitoring:
         check_interval_hours: 1
         # Number of expired rows to delete per table batch
         delete_batch_size: 1000
+box:
+    # Master switch for the Box sandbox runtime. When false, LangBot does NOT
+    # attempt to connect to a remote Box runtime nor start a local stdio Box
+    # subprocess. Disabling Box also disables every feature that depends on it:
+    # the native sandbox tools (exec/read/write/edit/glob/grep), the activate
+    # skill tool, skill add/edit, and stdio-mode MCP servers. Skills can still
+    # be listed read-only and http/sse MCP servers continue to work.
+    enabled: true
+    backend: 'local'  # 'local' (Docker/nsjail), 'docker', 'nsjail', or 'e2b'. Can be written via BOX__BACKEND.
+    runtime:
+        endpoint: ''  # External Box Runtime base URL, e.g. 'ws://127.0.0.1:5410'. Leave empty for local auto-managed runtime.
+    local:
+        profile: 'default'
+        image: ''  # Custom local sandbox image. Leave empty to use the profile default.
+        host_root: './data/box'  # Base host directory for local workspace mounts. Docker deployments should override this with an absolute host path.
+        default_workspace: ''  # Defaults to '<host_root>/default'. Relative paths are resolved under host_root.
+        skills_root: 'skills'  # Box-owned skill package directory. Relative paths are resolved under host_root.
+        allowed_mount_roots:  # Defaults to ['<host_root>'] when left empty.
+            - './data/box'
+            - '/tmp'
+        workspace_quota_mb: null  # Optional disk quota override (>= 0). null = profile default.
+    e2b:
+        api_key: ''  # Can also be set via E2B_API_KEY env var.
+        api_url: ''  # Custom API URL for self-hosted deployments.
+        template: ''  # Default template ID (e.g. 'base', 'python-3.11').
 space:
     # Space service URL for OAuth and API
     url: 'https://space.langbot.app'

src/langbot/templates/default-pipeline-config.json

@@ -50,10 +50,11 @@
             "prompt": [
                 {
                     "role": "system",
-                    "content": "You are a helpful assistant."
+                    "content": "You are a helpful assistant. When tools are available, use them for exact calculations, data processing, and code execution instead of guessing. Unless the user explicitly asks for code or a script, return the result directly instead of printing the generated code."
                 }
             ],
             "knowledge-bases": [],
+            "box-session-id-template": "{launcher_type}_{launcher_id}",
             "rerank-model": "",
             "rerank-top-k": 5
         },

src/langbot/templates/metadata/pipeline/ai.yaml

@@ -47,6 +47,14 @@ stages:
             label:
               en_US: Langflow API
               zh_Hans: Langflow API
+          - name: weknora-api
+            label:
+              en_US: WeKnora API
+              zh_Hans: WeKnora API
+          - name: deerflow-api
+            label:
+              en_US: DeerFlow API
+              zh_Hans: DeerFlow API
       - name: expire-time
         label:
           en_US: Conversation expire time (seconds)
@@ -124,6 +132,100 @@ stages:
           field: __system.is_wizard
           operator: neq
           value: true
+      - name: box-session-id-template
+        label:
+          en_US: Sandbox Scope
+          zh_Hans: 沙箱作用域
+          zh_Hant: 沙箱作用域
+          ja_JP: サンドボックススコープ
+          vi_VN: Phạm vi Sandbox
+          th_TH: ขอบเขต Sandbox
+          es_ES: Alcance del Sandbox
+          ru_RU: Область песочницы
+        description:
+          en_US: Determines how sandbox environments are shared across messages.
+          zh_Hans: 决定沙箱环境在不同消息间的共享方式。
+          zh_Hant: 決定沙箱環境在不同訊息間的共享方式。
+          ja_JP: メッセージ間でサンドボックス環境を共有する方法を決定します。
+          vi_VN: Xác định cách chia sẻ môi trường sandbox giữa các tin nhắn.
+          th_TH: กำหนดวิธีแชร์สภาพแวดล้อม Sandbox ระหว่างข้อความ
+          es_ES: Determina cómo se comparten los entornos sandbox entre mensajes.
+          ru_RU: Определяет, как песочницы используются совместно между сообщениями.
+        disable_if:
+          field: __system.box_scope_editable
+          operator: eq
+          value: false
+        disabled_tooltip:
+          en_US: >-
+            Sandbox scope can't be changed: either the Box sandbox is disabled
+            or unavailable (enable it in config.yaml with box.enabled = true and
+            ensure the runtime is reachable), or this deployment pins all
+            pipelines to a fixed scope.
+          zh_Hans: "无法修改沙箱作用域：Box 沙箱已禁用或不可用（请在配置中启用 box.enabled = true 并确认运行时连接正常），或本部署已将所有流水线固定为统一作用域。"
+          zh_Hant: "無法修改沙箱作用域：Box 沙箱已停用或無法使用（請在設定中啟用 box.enabled = true 並確認執行時連線正常），或本部署已將所有流水線固定為統一作用域。"
+          ja_JP: "サンドボックススコープを変更できません：Box サンドボックスが無効/利用不可（設定で box.enabled = true にしてランタイム接続を確認）、またはこのデプロイがすべてのパイプラインを固定スコープに制限しています。"
+          vi_VN: "Không thể thay đổi phạm vi sandbox：Box sandbox bị tắt hoặc không khả dụng (bật box.enabled = true và đảm bảo runtime hoạt động), hoặc bản triển khai này cố định mọi pipeline về một phạm vi."
+          th_TH: "ไม่สามารถเปลี่ยนขอบเขต Sandbox：Box sandbox ถูกปิดหรือไม่พร้อมใช้งาน (เปิด box.enabled = true และตรวจสอบรันไทม์) หรือการ deploy นี้ล็อกทุก pipeline ไว้ที่ขอบเขตเดียว"
+          es_ES: "No se puede cambiar el alcance del sandbox: el sandbox de Box está desactivado o no disponible (actívelo con box.enabled = true y verifique el runtime), o este despliegue fija todas las pipelines a un alcance único."
+          ru_RU: "Невозможно изменить область песочницы: песочница Box отключена или недоступна (включите box.enabled = true и проверьте среду выполнения), либо это развёртывание фиксирует единую область для всех конвейеров."
+        type: select
+        required: false
+        default: "{launcher_type}_{launcher_id}"
+        options:
+          - name: "{global}"
+            label:
+              en_US: Global (shared by all)
+              zh_Hans: 全局（所有人共享）
+              zh_Hant: 全域（所有人共用）
+              ja_JP: グローバル（全員共有）
+              vi_VN: Toàn cục (chia sẻ cho tất cả)
+              th_TH: ทั่วไป (แชร์ทั้งหมด)
+              es_ES: Global (compartido por todos)
+              ru_RU: Глобальный (общий для всех)
+          - name: "{launcher_type}_{launcher_id}"
+            label:
+              en_US: Per chat (Recommended)
+              zh_Hans: 每个会话（推荐）
+              zh_Hant: 每個會話（推薦）
+              ja_JP: チャットごと（推奨）
+              vi_VN: Mỗi cuộc trò chuyện (Khuyến nghị)
+              th_TH: ต่อแชท (แนะนำ)
+              es_ES: Por chat (Recomendado)
+              ru_RU: По чату (Рекомендуется)
+          - name: "{launcher_type}_{launcher_id}_{sender_id}"
+            label:
+              en_US: Per user in chat
+              zh_Hans: 会话中每个用户
+              zh_Hant: 會話中每個用戶
+              ja_JP: チャット内のユーザーごと
+              vi_VN: Mỗi người dùng trong cuộc trò chuyện
+              th_TH: ต่อผู้ใช้ในแชท
+              es_ES: Por usuario en chat
+              ru_RU: По пользователю в чате
+          - name: "{launcher_type}_{launcher_id}_{conversation_id}"
+            label:
+              en_US: Per conversation context
+              zh_Hans: 每个对话上下文
+              zh_Hant: 每個對話上下文
+              ja_JP: 会話コンテキストごと
+              vi_VN: Mỗi ngữ cảnh hội thoại
+              th_TH: ต่อบริบทการสนทนา
+              es_ES: Por contexto de conversación
+              ru_RU: По контексту разговора
+          - name: "{query_id}"
+            label:
+              en_US: Per message (isolated)
+              zh_Hans: 每条消息（完全隔离）
+              zh_Hant: 每條訊息（完全隔離）
+              ja_JP: メッセージごと（隔離）
+              vi_VN: Mỗi tin nhắn (cách ly)
+              th_TH: ต่อข้อความ (แยกส่วน)
+              es_ES: Por mensaje (aislado)
+              ru_RU: По сообщению (изолированно)
+        show_if:
+          field: __system.is_wizard
+          operator: neq
+          value: true
       - name: rerank-model
         label:
           en_US: Rerank Model
@@ -560,3 +662,215 @@ stages:
         type: json
         required: false
         default: '{}'
+  - name: weknora-api
+    label:
+      en_US: WeKnora API
+      zh_Hans: WeKnora API
+    description:
+      en_US: Configure the WeKnora API of the pipeline
+      zh_Hans: 配置 WeKnora API
+    config:
+      - name: base-url
+        label:
+          en_US: Base URL
+          zh_Hans: 基础 URL
+        description:
+          en_US: The base URL of the WeKnora server (with /api/v1)
+          zh_Hans: WeKnora 服务器的基础 URL（包含 /api/v1）
+        type: string
+        required: true
+        default: 'http://localhost:8080/api/v1'
+      - name: api-key
+        label:
+          en_US: API Key
+          zh_Hans: API 密钥
+        description:
+          en_US: The API key for WeKnora, generated from WeKnora frontend Settings → API Keys
+          zh_Hans: WeKnora 的 API 密钥，从 WeKnora 前端 设置 → API Keys 生成
+        type: string
+        required: true
+        default: ''
+      - name: app-type
+        label:
+          en_US: App Type
+          zh_Hans: 应用类型
+        type: select
+        required: true
+        default: agent
+        options:
+          - name: agent
+            label:
+              en_US: Agent (Smart Reasoning)
+              zh_Hans: Agent（智能推理）
+          - name: chat
+            label:
+              en_US: Chat (Knowledge Base RAG)
+              zh_Hans: 聊天（知识库 RAG）
+      - name: agent-id
+        label:
+          en_US: Agent ID
+          zh_Hans: 智能体 ID
+        description:
+          en_US: The Agent ID to use. Built-in agents include builtin-quick-answer, builtin-smart-reasoning, builtin-data-analyst
+          zh_Hans: 要使用的智能体 ID。内置智能体：builtin-quick-answer、builtin-smart-reasoning、builtin-data-analyst
+        type: string
+        required: true
+        default: 'builtin-smart-reasoning'
+      - name: knowledge-base-ids
+        label:
+          en_US: Knowledge Base IDs
+          zh_Hans: 知识库 ID 列表
+        description:
+          en_US: List of WeKnora knowledge base IDs to use (one per line)
+          zh_Hans: 要使用的 WeKnora 知识库 ID 列表（每行一个）
+        type: array
+        required: false
+        default: []
+      - name: web-search-enabled
+        label:
+          en_US: Enable Web Search
+          zh_Hans: 启用网络搜索
+        description:
+          en_US: Whether to enable web search in agent mode
+          zh_Hans: 在 Agent 模式下是否启用网络搜索
+        type: boolean
+        required: false
+        default: false
+      - name: timeout
+        label:
+          en_US: Timeout
+          zh_Hans: 超时时间
+        description:
+          en_US: Request timeout in seconds
+          zh_Hans: 请求超时时间（秒）
+        type: integer
+        required: false
+        default: 120
+      - name: base-prompt
+        label:
+          en_US: Base Prompt
+          zh_Hans: 基础提示词
+        description:
+          en_US: Default prompt when user message is empty (e.g. only images)
+          zh_Hans: 当用户消息为空（例如仅图片）时使用的默认提示词
+        type: string
+        required: false
+        default: '请回答用户的问题。'
+  - name: deerflow-api
+    label:
+      en_US: DeerFlow API
+      zh_Hans: DeerFlow API
+    description:
+      en_US: Configure the DeerFlow LangGraph API of the pipeline
+      zh_Hans: 配置 DeerFlow LangGraph API
+    config:
+      - name: api-base
+        label:
+          en_US: API Base URL
+          zh_Hans: API 基础 URL
+        description:
+          en_US: The base URL of the DeerFlow server (e.g. http://127.0.0.1:2026)
+          zh_Hans: DeerFlow 服务器的基础 URL（例如 http://127.0.0.1:2026）
+        type: string
+        required: true
+        default: 'http://127.0.0.1:2026'
+      - name: api-key
+        label:
+          en_US: API Key
+          zh_Hans: API 密钥
+        description:
+          en_US: Optional API key for DeerFlow (leave empty if not required)
+          zh_Hans: DeerFlow 的 API 密钥（如果不需要可留空）
+        type: string
+        required: false
+        default: ''
+      - name: auth-header
+        label:
+          en_US: Auth Header Name
+          zh_Hans: 鉴权请求头名称
+        description:
+          en_US: Custom auth header name. Leave empty to use "x-api-key"
+          zh_Hans: 自定义鉴权请求头名称，留空则使用 "x-api-key"
+        type: string
+        required: false
+        default: ''
+      - name: assistant-id
+        label:
+          en_US: Assistant ID
+          zh_Hans: 助手 ID
+        description:
+          en_US: The DeerFlow assistant/graph id (default lead_agent)
+          zh_Hans: DeerFlow 助手/图 ID（默认 lead_agent）
+        type: string
+        required: true
+        default: 'lead_agent'
+      - name: model-name
+        label:
+          en_US: Model Name
+          zh_Hans: 模型名称
+        description:
+          en_US: Optional model override forwarded to DeerFlow configurable
+          zh_Hans: 可选的模型名称覆盖，会作为 configurable 转发给 DeerFlow
+        type: string
+        required: false
+        default: ''
+      - name: thinking-enabled
+        label:
+          en_US: Enable Thinking
+          zh_Hans: 启用思考
+        description:
+          en_US: Whether to enable DeerFlow thinking mode
+          zh_Hans: 是否启用 DeerFlow 思考模式
+        type: boolean
+        required: false
+        default: false
+      - name: plan-mode
+        label:
+          en_US: Plan Mode
+          zh_Hans: 规划模式
+        description:
+          en_US: Whether to enable DeerFlow plan mode
+          zh_Hans: 是否启用 DeerFlow 规划模式
+        type: boolean
+        required: false
+        default: false
+      - name: subagent-enabled
+        label:
+          en_US: Enable Subagents
+          zh_Hans: 启用子代理
+        description:
+          en_US: Whether to enable parallel subagent execution
+          zh_Hans: 是否启用并行子代理执行
+        type: boolean
+        required: false
+        default: false
+      - name: max-concurrent-subagents
+        label:
+          en_US: Max Concurrent Subagents
+          zh_Hans: 最大并发子代理数
+        description:
+          en_US: Maximum number of concurrent subagents (only effective when subagents are enabled)
+          zh_Hans: 最大并发子代理数（仅在启用子代理时生效）
+        type: integer
+        required: false
+        default: 3
+      - name: timeout
+        label:
+          en_US: Timeout
+          zh_Hans: 超时时间
+        description:
+          en_US: Request timeout in seconds (DeerFlow runs may take a long time)
+          zh_Hans: 请求超时时间（秒），DeerFlow 运行可能耗时较长
+        type: integer
+        required: false
+        default: 300
+      - name: recursion-limit
+        label:
+          en_US: Recursion Limit
+          zh_Hans: 递归上限
+        description:
+          en_US: LangGraph recursion limit for a single run
+          zh_Hans: 单次运行的 LangGraph 递归上限
+        type: integer
+        required: false
+        default: 1000