fix(longtext): avoid split interfering with multi-chain agent responses

Use query variable '_longtext_split_extra_chains' to pass extra split
segments instead of appending to resp_message_chain directly. This
prevents agent tool-call multi-round responses from being misidentified
as split results and sent repeatedly.

respback.py reverts to original single-chain logic and appends split
extra chains after the main response.

README_CN.md

@@ -34,6 +34,8 @@
 
 ---
 
+## 什么是 LangBot？
+
 LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时通信机器人。它将大语言模型（LLM）连接到各种聊天平台，帮助你创建能够对话、执行任务、并集成到现有工作流程中的智能 Agent。
 
 ### 核心能力
@@ -41,7 +43,7 @@ LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时
 - **AI 对话与 Agent** — 多轮对话、工具调用、多模态、流式输出。自带 RAG（知识库），深度集成 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) 等 LLMOps 平台。
 - **全平台支持** — 一套代码，覆盖 QQ、微信、企业微信、飞书、钉钉、Discord、Telegram、Slack、LINE、KOOK 等平台。
 - **生产就绪** — 访问控制、限速、敏感词过滤、全面监控与异常处理，已被多家企业采用。
-- **插件生态** — 数百个插件，跨进程的事件驱动架构，组件扩展，适配 [MCP 协议](https://modelcontextprotocol.io/)。
+- **插件生态** — 数百个插件，事件驱动架构，组件扩展，适配 [MCP 协议](https://modelcontextprotocol.io/)。
 - **Web 管理面板** — 通过浏览器直观地配置、管理和监控机器人，无需手动编辑配置文件。
 - **多流水线架构** — 不同机器人用于不同场景，具备全面的监控和异常处理能力。
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.9.4"
+version = "4.8.7"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -61,10 +61,10 @@ dependencies = [
     "html2text>=2024.2.26",
     "langchain>=0.2.0",
     "langchain-text-splitters>=0.0.1",
-    "chromadb>=1.0.0,<2.0.0",
+    "chromadb>=0.4.24",
     "qdrant-client (>=1.15.1,<2.0.0)",
-    "pyseekdb==1.1.0.post3",
-    "langbot-plugin==0.3.5",
+    "pyseekdb==1.0.0b7",
+    "langbot-plugin==0.3.0rc1",
     "asyncpg>=0.30.0",
     "line-bot-sdk>=3.19.0",
     "tboxsdk>=0.0.10",

src/langbot/__init__.py

@@ -1,3 +1,3 @@
 """LangBot - Production-grade platform for building agentic IM bots"""
 
-__version__ = '4.9.4'
+__version__ = '4.8.7'

src/langbot/libs/openclaw_weixin_api/__init__.py

@@ -1,3 +0,0 @@
-from .client import OpenClawWeixinClient as OpenClawWeixinClient
-from .types import ApiError as ApiError
-from .types import LoginResult as LoginResult

src/langbot/libs/openclaw_weixin_api/client.py

@@ -1,807 +0,0 @@
-"""Async HTTP client for the OpenClaw WeChat API.
-
-Implements the iLink Bot API protocol.
-Reference: https://github.com/epiral/weixin-bot
-
-Endpoints: getUpdates (long-poll), sendMessage, getUploadUrl, getConfig, sendTyping.
-"""
-
-from __future__ import annotations
-
-import asyncio
-import base64
-import io
-import logging
-import os
-import struct
-import typing
-import uuid
-from typing import Optional
-from urllib.parse import quote
-
-import aiohttp
-
-from .types import (
-    ApiError,
-    CDNMedia,
-    FileItem,
-    GetConfigResponse,
-    GetUpdatesResponse,
-    GetUploadUrlResponse,
-    ImageItem,
-    LoginResult,
-    MessageItem,
-    QRCodeResponse,
-    QRStatusResponse,
-    RefMessage,
-    TextItem,
-    VideoItem,
-    VoiceItem,
-    WeixinMessage,
-)
-
-logger = logging.getLogger('openclaw-weixin-sdk')
-
-DEFAULT_BASE_URL = 'https://ilinkai.weixin.qq.com'
-CDN_BASE_URL = 'https://novac2c.cdn.weixin.qq.com/c2c'
-
-CHANNEL_VERSION = '1.0.0'
-
-DEFAULT_API_TIMEOUT = 15
-DEFAULT_LONG_POLL_TIMEOUT = 40
-DEFAULT_CONFIG_TIMEOUT = 10
-DEFAULT_QR_POLL_TIMEOUT = 35
-
-SESSION_EXPIRED_ERRCODE = -14
-
-DEFAULT_BOT_TYPE = '3'
-
-# Maximum text length per message chunk (WeChat limit)
-MAX_TEXT_CHUNK_SIZE = 2000
-
-
-def _random_wechat_uin() -> str:
-    """Generate the X-WECHAT-UIN header: random uint32 -> decimal string -> base64."""
-    rand_bytes = os.urandom(4)
-    uint32_val = struct.unpack('>I', rand_bytes)[0]
-    return base64.b64encode(str(uint32_val).encode('utf-8')).decode('utf-8')
-
-
-def _build_base_info() -> dict:
-    """Build the base_info payload included in every API request."""
-    return {'channel_version': CHANNEL_VERSION}
-
-
-def _chunk_text(text: str, max_size: int = MAX_TEXT_CHUNK_SIZE) -> list[str]:
-    """Split long text into chunks that fit within WeChat's message size limit."""
-    if len(text) <= max_size:
-        return [text]
-    chunks = []
-    while text:
-        chunks.append(text[:max_size])
-        text = text[max_size:]
-    return chunks
-
-
-class OpenClawWeixinClient:
-    """Async client for the OpenClaw WeChat HTTP JSON API."""
-
-    def __init__(self, base_url: str, token: str):
-        self.base_url = base_url.rstrip('/')
-        self.token = token
-        self._session: Optional[aiohttp.ClientSession] = None
-
-    async def _get_session(self) -> aiohttp.ClientSession:
-        if self._session is None or self._session.closed:
-            self._session = aiohttp.ClientSession()
-        return self._session
-
-    async def close(self):
-        if self._session and not self._session.closed:
-            await self._session.close()
-
-    def _build_headers(self) -> dict[str, str]:
-        headers = {
-            'Content-Type': 'application/json',
-            'AuthorizationType': 'ilink_bot_token',
-            'X-WECHAT-UIN': _random_wechat_uin(),
-        }
-        if self.token:
-            headers['Authorization'] = f'Bearer {self.token}'
-        return headers
-
-    async def _post(self, endpoint: str, payload: dict, timeout: float = DEFAULT_API_TIMEOUT) -> dict:
-        """Make a POST request and return the JSON response.
-
-        Raises ApiError on HTTP errors or when the response contains a non-zero errcode.
-        """
-        payload['base_info'] = _build_base_info()
-
-        session = await self._get_session()
-        url = f'{self.base_url}/{endpoint}'
-        headers = self._build_headers()
-
-        async with session.post(
-            url, json=payload, headers=headers, timeout=aiohttp.ClientTimeout(total=timeout)
-        ) as resp:
-            if resp.status != 200:
-                text = await resp.text()
-                raise ApiError(
-                    f'OpenClaw API error {resp.status}: {text}',
-                    status=resp.status,
-                )
-            data = await resp.json(content_type=None)
-
-        # Check for application-level errors in the response body
-        errcode = data.get('errcode') or data.get('ret')
-        if errcode and errcode != 0:
-            raise ApiError(
-                data.get('errmsg') or f'API errcode {errcode}',
-                status=200,
-                code=errcode,
-                payload=data,
-            )
-
-        return data
-
-    async def get_updates(
-        self, get_updates_buf: str = '', timeout: float = DEFAULT_LONG_POLL_TIMEOUT
-    ) -> GetUpdatesResponse:
-        """Long-poll for new messages.
-
-        Note: This method does NOT raise ApiError for errcode responses —
-        it returns them in the GetUpdatesResponse so the caller can handle
-        session expiry and other errors with full context.
-        """
-        try:
-            # Bypass the errcode check in _post since get_updates needs
-            # to return error info (e.g. session expired) to the caller.
-            payload: dict = {'get_updates_buf': get_updates_buf}
-            payload['base_info'] = _build_base_info()
-
-            session = await self._get_session()
-            url = f'{self.base_url}/ilink/bot/getupdates'
-            headers = self._build_headers()
-
-            async with session.post(
-                url,
-                json=payload,
-                headers=headers,
-                timeout=aiohttp.ClientTimeout(total=timeout),
-            ) as resp:
-                if resp.status != 200:
-                    text = await resp.text()
-                    raise ApiError(
-                        f'OpenClaw API error {resp.status}: {text}',
-                        status=resp.status,
-                    )
-                data = await resp.json(content_type=None)
-
-        except (asyncio.TimeoutError, aiohttp.ServerTimeoutError):
-            return GetUpdatesResponse(ret=0, msgs=[], get_updates_buf=get_updates_buf)
-        except ApiError:
-            raise
-        except Exception as e:
-            if 'timeout' in str(e).lower():
-                return GetUpdatesResponse(ret=0, msgs=[], get_updates_buf=get_updates_buf)
-            raise
-
-        return _parse_get_updates_response(data)
-
-    async def send_message(
-        self,
-        to_user_id: str,
-        item_list: list[MessageItem],
-        context_token: str = '',
-    ) -> None:
-        """Send a message to a user."""
-        items_payload = [_message_item_to_dict(item) for item in item_list]
-
-        payload = {
-            'msg': {
-                'from_user_id': '',
-                'to_user_id': to_user_id,
-                'client_id': f'langbot-{uuid.uuid4().hex[:16]}',
-                'message_type': WeixinMessage.TYPE_BOT,
-                'message_state': WeixinMessage.STATE_FINISH,
-                'item_list': items_payload,
-                'context_token': context_token or None,
-            }
-        }
-        await self._post('ilink/bot/sendmessage', payload)
-
-    async def send_text(self, to_user_id: str, text: str, context_token: str = '') -> None:
-        """Send a plain text message, automatically chunking if too long."""
-        chunks = _chunk_text(text)
-        for chunk in chunks:
-            item = MessageItem(type=MessageItem.TEXT, text_item=TextItem(text=chunk))
-            await self.send_message(to_user_id, [item], context_token)
-
-    async def get_config(self, ilink_user_id: str, context_token: str = '') -> GetConfigResponse:
-        """Get bot config including typing_ticket."""
-        data = await self._post(
-            'ilink/bot/getconfig',
-            {'ilink_user_id': ilink_user_id, 'context_token': context_token or None},
-            timeout=DEFAULT_CONFIG_TIMEOUT,
-        )
-        return GetConfigResponse(
-            ret=data.get('ret'),
-            errmsg=data.get('errmsg'),
-            typing_ticket=data.get('typing_ticket'),
-        )
-
-    async def send_typing(self, ilink_user_id: str, typing_ticket: str, status: int = 1) -> None:
-        """Send typing indicator. status: 1=typing, 2=cancel."""
-        await self._post(
-            'ilink/bot/sendtyping',
-            {
-                'ilink_user_id': ilink_user_id,
-                'typing_ticket': typing_ticket,
-                'status': status,
-            },
-            timeout=DEFAULT_CONFIG_TIMEOUT,
-        )
-
-    async def stop_typing(self, ilink_user_id: str, typing_ticket: str) -> None:
-        """Cancel the typing indicator for a user."""
-        await self.send_typing(ilink_user_id, typing_ticket, status=2)
-
-    async def download_media(
-        self,
-        media: CDNMedia,
-    ) -> bytes:
-        """Download and decrypt a file from the WeChat CDN.
-
-        Args:
-            media: CDNMedia object with encrypt_query_param and aes_key.
-
-        Returns:
-            Decrypted file bytes.
-        """
-        from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
-        from cryptography.hazmat.primitives.padding import PKCS7
-
-        if not media.encrypt_query_param:
-            raise ApiError('CDN media has no encrypt_query_param', status=0)
-        if not media.aes_key:
-            raise ApiError('CDN media has no aes_key', status=0)
-
-        # Derive 16-byte AES key
-        # aes_key is base64-encoded; the decoded content may be:
-        #   - raw 16 bytes (direct AES key)
-        #   - 32-char hex string (decode hex to get 16 bytes)
-        raw = base64.b64decode(media.aes_key)
-        if len(raw) == 16:
-            aes_key = raw
-        elif len(raw) == 32:
-            # Hex-encoded 16-byte key
-            aes_key = bytes.fromhex(raw.decode('utf-8'))
-        else:
-            raise ApiError(f'Invalid AES key length: {len(raw)} (expected 16 or 32)', status=0)
-
-        # Download encrypted bytes from CDN
-        session = await self._get_session()
-        cdn_url = f'{CDN_BASE_URL}/download?encrypted_query_param={quote(media.encrypt_query_param, safe="")}'
-
-        async with session.get(cdn_url, timeout=aiohttp.ClientTimeout(total=120)) as resp:
-            if resp.status != 200:
-                text = await resp.text()
-                raise ApiError(f'CDN download failed: {resp.status} {text}', status=resp.status)
-            encrypted = await resp.read()
-
-        # Decrypt AES-128-ECB with PKCS7 padding
-        cipher = Cipher(algorithms.AES(aes_key), modes.ECB())
-        decryptor = cipher.decryptor()
-        padded = decryptor.update(encrypted) + decryptor.finalize()
-
-        unpadder = PKCS7(128).unpadder()
-        return unpadder.update(padded) + unpadder.finalize()
-
-    async def upload_media(
-        self,
-        file_bytes: bytes,
-        to_user_id: str,
-        media_type: int,
-    ) -> CDNMedia:
-        """Encrypt and upload media to WeChat CDN.
-
-        Args:
-            file_bytes: Raw file bytes to upload.
-            to_user_id: Recipient user ID.
-            media_type: 1=IMAGE, 2=VIDEO, 3=FILE, 4=VOICE.
-
-        Returns:
-            CDNMedia with encrypt_query_param and aes_key for use in sendMessage.
-        """
-        import hashlib
-
-        from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
-        from cryptography.hazmat.primitives.padding import PKCS7
-
-        # 1. Generate random 16-byte AES key
-        raw_key = os.urandom(16)
-        aes_key_hex = raw_key.hex()  # 32-char hex string
-
-        # 2. Encode key for CDNMedia: base64(hex_string) — same for all media types
-        # Matches official SDK: Buffer.from(aeskey_hex).toString("base64")
-        encoded_key = base64.b64encode(aes_key_hex.encode('utf-8')).decode('utf-8')
-
-        # 3. Encrypt file with AES-128-ECB + PKCS7
-        padder = PKCS7(128).padder()
-        padded = padder.update(file_bytes) + padder.finalize()
-        cipher = Cipher(algorithms.AES(raw_key), modes.ECB())
-        encryptor = cipher.encryptor()
-        encrypted = encryptor.update(padded) + encryptor.finalize()
-
-        # 4. Get upload URL
-        raw_md5 = hashlib.md5(file_bytes).hexdigest()
-        filekey = os.urandom(16).hex()  # 32-char hex, matches official SDK
-
-        upload_resp = await self.get_upload_url(
-            filekey=filekey,
-            media_type=media_type,
-            to_user_id=to_user_id,
-            rawsize=len(file_bytes),
-            rawfilemd5=raw_md5,
-            filesize=len(encrypted),
-            aeskey=aes_key_hex,  # hex string, as expected by the API
-        )
-
-        if not upload_resp.upload_param:
-            raise ApiError('Failed to get upload URL', status=0)
-
-        # 5. Upload to CDN
-        # upload_param is an opaque token from the server — pass it as-is
-        session = await self._get_session()
-        cdn_url = f'{CDN_BASE_URL}/upload?encrypted_query_param={quote(upload_resp.upload_param, safe="")}&filekey={quote(filekey, safe="")}'
-        logger.debug(
-            'CDN upload: url=%s raw_size=%d encrypted_size=%d md5=%s aeskey=%s',
-            cdn_url,
-            len(file_bytes),
-            len(encrypted),
-            raw_md5,
-            encoded_key,
-        )
-
-        async with session.post(
-            cdn_url,
-            data=encrypted,
-            headers={'Content-Type': 'application/octet-stream'},
-            timeout=aiohttp.ClientTimeout(total=120),
-        ) as resp:
-            if resp.status != 200:
-                text = await resp.text()
-                logger.error('CDN upload failed: status=%d url=%s body=%s', resp.status, cdn_url, text[:500])
-                raise ApiError(f'CDN upload failed: {resp.status} {text}', status=resp.status)
-            download_param = resp.headers.get('x-encrypted-param', '')
-
-        if not download_param:
-            raise ApiError('CDN upload succeeded but no x-encrypted-param returned', status=0)
-
-        return CDNMedia(
-            encrypt_query_param=download_param,
-            aes_key=encoded_key,
-            encrypt_type=1,
-        )
-
-    async def send_image(
-        self,
-        to_user_id: str,
-        image_bytes: bytes,
-        context_token: str = '',
-    ) -> None:
-        """Upload an image to CDN and send it."""
-        media = await self.upload_media(image_bytes, to_user_id, media_type=1)
-        item = MessageItem(
-            type=MessageItem.IMAGE,
-            image_item=ImageItem(
-                media=media,
-                aeskey=media.aes_key,
-            ),
-        )
-        await self.send_message(to_user_id, [item], context_token)
-
-    async def send_file(
-        self,
-        to_user_id: str,
-        file_bytes: bytes,
-        file_name: str,
-        context_token: str = '',
-    ) -> None:
-        """Upload a file to CDN and send it."""
-        import hashlib
-
-        media = await self.upload_media(file_bytes, to_user_id, media_type=3)
-        item = MessageItem(
-            type=MessageItem.FILE,
-            file_item=FileItem(
-                media=media,
-                file_name=file_name,
-                md5=hashlib.md5(file_bytes).hexdigest(),
-                len=str(len(file_bytes)),
-            ),
-        )
-        await self.send_message(to_user_id, [item], context_token)
-
-    async def send_voice(
-        self,
-        to_user_id: str,
-        voice_bytes: bytes,
-        playtime: int = 0,
-        context_token: str = '',
-    ) -> None:
-        """Upload a voice message to CDN and send it."""
-        media = await self.upload_media(voice_bytes, to_user_id, media_type=4)
-        item = MessageItem(
-            type=MessageItem.VOICE,
-            voice_item=VoiceItem(
-                media=media,
-                playtime=playtime,
-            ),
-        )
-        await self.send_message(to_user_id, [item], context_token)
-
-    async def get_upload_url(
-        self,
-        filekey: str,
-        media_type: int,
-        to_user_id: str,
-        rawsize: int,
-        rawfilemd5: str,
-        filesize: int,
-        thumb_rawsize: Optional[int] = None,
-        thumb_rawfilemd5: Optional[str] = None,
-        thumb_filesize: Optional[int] = None,
-        aeskey: Optional[str] = None,
-    ) -> GetUploadUrlResponse:
-        """Get a pre-signed CDN upload URL."""
-        payload: dict = {
-            'filekey': filekey,
-            'media_type': media_type,
-            'to_user_id': to_user_id,
-            'rawsize': rawsize,
-            'rawfilemd5': rawfilemd5,
-            'filesize': filesize,
-            'no_need_thumb': True,
-        }
-        if thumb_rawsize is not None:
-            payload['thumb_rawsize'] = thumb_rawsize
-        if thumb_rawfilemd5 is not None:
-            payload['thumb_rawfilemd5'] = thumb_rawfilemd5
-        if thumb_filesize is not None:
-            payload['thumb_filesize'] = thumb_filesize
-        if aeskey is not None:
-            payload['aeskey'] = aeskey
-
-        data = await self._post('ilink/bot/getuploadurl', payload)
-        logger.debug('get_upload_url response: %s', data)
-        return GetUploadUrlResponse(
-            upload_param=data.get('upload_param'),
-            thumb_upload_param=data.get('thumb_upload_param'),
-        )
-
-    # -----------------------------------------------------------------------
-    # QR Code Login
-    # -----------------------------------------------------------------------
-
-    async def fetch_qrcode(self, bot_type: str = DEFAULT_BOT_TYPE) -> QRCodeResponse:
-        """Fetch a QR code for WeChat login authorization (GET, no auth needed)."""
-        session = await self._get_session()
-        url = f'{self.base_url}/ilink/bot/get_bot_qrcode?bot_type={bot_type}'
-
-        async with session.get(url, timeout=aiohttp.ClientTimeout(total=DEFAULT_API_TIMEOUT)) as resp:
-            if resp.status != 200:
-                text = await resp.text()
-                raise ApiError(
-                    f'Failed to fetch QR code: {resp.status} {text}',
-                    status=resp.status,
-                )
-            data = await resp.json(content_type=None)
-
-        logger.debug(
-            'fetch_qrcode response: qrcode=%s, img=%s', data.get('qrcode'), bool(data.get('qrcode_img_content'))
-        )
-
-        return QRCodeResponse(
-            qrcode=data.get('qrcode'),
-            qrcode_img_content=data.get('qrcode_img_content'),
-        )
-
-    async def _fetch_qr_image_base64(self, url: str) -> str:
-        """Generate a QR code image from the URL and return a data URI string.
-
-        The qrcode_img_content URL points to an HTML page (not a raw image),
-        so we generate the QR code locally using the qrcode library.
-        """
-        import qrcode
-
-        qr = qrcode.QRCode(error_correction=qrcode.constants.ERROR_CORRECT_L)
-        qr.add_data(url)
-        qr.make(fit=True)
-        img = qr.make_image(fill_color='black', back_color='white')
-
-        buf = io.BytesIO()
-        img.save(buf, format='PNG')
-        b64 = base64.b64encode(buf.getvalue()).decode('utf-8')
-        return f'data:image/png;base64,{b64}'
-
-    async def poll_qrcode_status(self, qrcode: str) -> QRStatusResponse:
-        """Long-poll the QR code scan status (GET with iLink-App-ClientVersion header)."""
-        session = await self._get_session()
-        url = f'{self.base_url}/ilink/bot/get_qrcode_status?qrcode={quote(qrcode, safe="")}'
-        headers = {'iLink-App-ClientVersion': '1'}
-
-        try:
-            async with session.get(
-                url, headers=headers, timeout=aiohttp.ClientTimeout(total=DEFAULT_QR_POLL_TIMEOUT)
-            ) as resp:
-                if resp.status != 200:
-                    text = await resp.text()
-                    raise ApiError(
-                        f'Failed to poll QR status: {resp.status} {text}',
-                        status=resp.status,
-                    )
-                data = await resp.json(content_type=None)
-                logger.debug('QR status poll response: %s', data)
-        except (asyncio.TimeoutError, aiohttp.ServerTimeoutError):
-            return QRStatusResponse(status='wait')
-
-        return QRStatusResponse(
-            status=data.get('status'),
-            bot_token=data.get('bot_token'),
-            ilink_bot_id=data.get('ilink_bot_id'),
-            baseurl=data.get('baseurl'),
-            ilink_user_id=data.get('ilink_user_id'),
-        )
-
-    async def login(
-        self,
-        max_retries: int = 5,
-        poll_timeout_ms: int = 480_000,
-        on_qrcode: Optional[typing.Callable[[str, str], typing.Any]] = None,
-        on_status: Optional[typing.Callable[[str], typing.Any]] = None,
-    ) -> LoginResult:
-        """Complete QR code login flow with auto-retry on expiry.
-
-        Args:
-            max_retries: Max number of QR code refreshes on expiry.
-            poll_timeout_ms: Timeout per QR code in milliseconds.
-            on_qrcode: Callback(qr_image_base64, qr_url) called each time a
-                        new QR code is fetched. Use this to display the QR code.
-            on_status: Callback(status_str) called on each status poll change.
-
-        Returns:
-            LoginResult with token, base_url, and account_id.
-
-        Raises:
-            ApiError: On unrecoverable API errors.
-            Exception: If all retries are exhausted.
-        """
-        last_qr_base64: Optional[str] = None
-
-        for attempt in range(max_retries):
-            qr_resp = await self.fetch_qrcode()
-            if not qr_resp.qrcode or not qr_resp.qrcode_img_content:
-                raise ApiError('Failed to get QR code from server', status=0)
-
-            # Convert QR image to base64 and notify caller
-            last_qr_base64 = await self._fetch_qr_image_base64(qr_resp.qrcode_img_content)
-            if on_qrcode:
-                try:
-                    result = on_qrcode(last_qr_base64, qr_resp.qrcode_img_content)
-                    if asyncio.iscoroutine(result) or asyncio.isfuture(result):
-                        await result
-                except Exception as e:
-                    logger.warning('on_qrcode callback error: %s', e)
-
-            # Poll until confirmed / expired / timeout
-            loop = asyncio.get_running_loop()
-            deadline = loop.time() + poll_timeout_ms / 1000.0
-
-            while loop.time() < deadline:
-                try:
-                    status_resp = await self.poll_qrcode_status(qr_resp.qrcode)
-                except Exception as e:
-                    logger.error('Error polling QR status: %s', e)
-                    await asyncio.sleep(2)
-                    continue
-
-                if on_status:
-                    try:
-                        cb_result = on_status(status_resp.status or 'unknown')
-                        if asyncio.iscoroutine(cb_result) or asyncio.isfuture(cb_result):
-                            await cb_result
-                    except Exception as e:
-                        logger.warning('on_status callback error: %s', e)
-
-                if status_resp.status == 'confirmed' and status_resp.bot_token:
-                    new_base_url = status_resp.baseurl or self.base_url
-                    # Update this client instance as well
-                    self.token = status_resp.bot_token
-                    self.base_url = new_base_url.rstrip('/')
-                    return LoginResult(
-                        token=status_resp.bot_token,
-                        base_url=new_base_url,
-                        account_id=status_resp.ilink_bot_id or '',
-                        qr_image_base64=last_qr_base64,
-                    )
-
-                if status_resp.status == 'expired':
-                    break  # retry with a new QR code
-
-                await asyncio.sleep(1)
-            else:
-                # While-loop ended without break → poll timeout, treat as expired
-                pass
-
-            remaining = max_retries - attempt - 1
-            if remaining > 0:
-                logger.info('QR code expired, refreshing... (%d retries left)', remaining)
-            else:
-                raise ApiError('QR code login failed: max retries exceeded', status=0)
-
-        # Should not reach here, but just in case
-        raise ApiError('QR code login failed', status=0)
-
-
-# ---------------------------------------------------------------------------
-# Parsing helpers
-# ---------------------------------------------------------------------------
-
-
-def _parse_cdn_media(data: Optional[dict]) -> Optional[CDNMedia]:
-    if not data:
-        return None
-    return CDNMedia(
-        encrypt_query_param=data.get('encrypt_query_param'),
-        aes_key=data.get('aes_key'),
-        encrypt_type=data.get('encrypt_type'),
-    )
-
-
-def _parse_message_item(data: dict) -> MessageItem:
-    item = MessageItem(
-        type=data.get('type'),
-        create_time_ms=data.get('create_time_ms'),
-        update_time_ms=data.get('update_time_ms'),
-        is_completed=data.get('is_completed'),
-        msg_id=data.get('msg_id'),
-    )
-
-    if data.get('text_item'):
-        item.text_item = TextItem(text=data['text_item'].get('text'))
-
-    if data.get('image_item'):
-        img = data['image_item']
-        item.image_item = ImageItem(
-            media=_parse_cdn_media(img.get('media')),
-            thumb_media=_parse_cdn_media(img.get('thumb_media')),
-            aeskey=img.get('aeskey'),
-            url=img.get('url'),
-            mid_size=img.get('mid_size'),
-        )
-
-    if data.get('voice_item'):
-        v = data['voice_item']
-        item.voice_item = VoiceItem(
-            media=_parse_cdn_media(v.get('media')),
-            encode_type=v.get('encode_type'),
-            playtime=v.get('playtime'),
-            text=v.get('text'),
-        )
-
-    if data.get('file_item'):
-        f = data['file_item']
-        item.file_item = FileItem(
-            media=_parse_cdn_media(f.get('media')),
-            file_name=f.get('file_name'),
-            md5=f.get('md5'),
-            len=f.get('len'),
-        )
-
-    if data.get('video_item'):
-        vid = data['video_item']
-        item.video_item = VideoItem(
-            media=_parse_cdn_media(vid.get('media')),
-            video_size=vid.get('video_size'),
-            play_length=vid.get('play_length'),
-            video_md5=vid.get('video_md5'),
-            thumb_media=_parse_cdn_media(vid.get('thumb_media')),
-        )
-
-    if data.get('ref_msg'):
-        ref = data['ref_msg']
-        item.ref_msg = RefMessage(
-            title=ref.get('title'),
-            message_item=_parse_message_item(ref['message_item']) if ref.get('message_item') else None,
-        )
-
-    return item
-
-
-def _parse_weixin_message(data: dict) -> WeixinMessage:
-    msg = WeixinMessage(
-        seq=data.get('seq'),
-        message_id=data.get('message_id'),
-        from_user_id=data.get('from_user_id'),
-        to_user_id=data.get('to_user_id'),
-        client_id=data.get('client_id'),
-        create_time_ms=data.get('create_time_ms'),
-        session_id=data.get('session_id'),
-        group_id=data.get('group_id'),
-        message_type=data.get('message_type'),
-        message_state=data.get('message_state'),
-        context_token=data.get('context_token'),
-    )
-    if data.get('item_list'):
-        msg.item_list = [_parse_message_item(item) for item in data['item_list']]
-    return msg
-
-
-def _parse_get_updates_response(data: dict) -> GetUpdatesResponse:
-    resp = GetUpdatesResponse(
-        ret=data.get('ret'),
-        errcode=data.get('errcode'),
-        errmsg=data.get('errmsg'),
-        get_updates_buf=data.get('get_updates_buf'),
-        longpolling_timeout_ms=data.get('longpolling_timeout_ms'),
-    )
-    if data.get('msgs'):
-        resp.msgs = [_parse_weixin_message(m) for m in data['msgs']]
-    return resp
-
-
-def _cdn_media_to_dict(media: Optional[CDNMedia]) -> Optional[dict]:
-    if not media:
-        return None
-    d: dict = {}
-    if media.encrypt_query_param is not None:
-        d['encrypt_query_param'] = media.encrypt_query_param
-    if media.aes_key is not None:
-        d['aes_key'] = media.aes_key
-    if media.encrypt_type is not None:
-        d['encrypt_type'] = media.encrypt_type
-    return d or None
-
-
-def _message_item_to_dict(item: MessageItem) -> dict:
-    d: dict = {'type': item.type}
-
-    if item.text_item:
-        d['text_item'] = {'text': item.text_item.text}
-
-    if item.image_item:
-        img_d: dict = {}
-        if item.image_item.media:
-            img_d['media'] = _cdn_media_to_dict(item.image_item.media)
-        if item.image_item.mid_size is not None:
-            img_d['mid_size'] = item.image_item.mid_size
-        d['image_item'] = img_d
-
-    if item.voice_item:
-        voice_d: dict = {}
-        if item.voice_item.media:
-            voice_d['media'] = _cdn_media_to_dict(item.voice_item.media)
-        if item.voice_item.playtime is not None:
-            voice_d['playtime'] = item.voice_item.playtime
-        d['voice_item'] = voice_d
-
-    if item.file_item:
-        file_d: dict = {}
-        if item.file_item.media:
-            file_d['media'] = _cdn_media_to_dict(item.file_item.media)
-        if item.file_item.file_name:
-            file_d['file_name'] = item.file_item.file_name
-        if item.file_item.len:
-            file_d['len'] = item.file_item.len
-        d['file_item'] = file_d
-
-    if item.video_item:
-        vid_d: dict = {}
-        if item.video_item.media:
-            vid_d['media'] = _cdn_media_to_dict(item.video_item.media)
-        if item.video_item.video_size is not None:
-            vid_d['video_size'] = item.video_item.video_size
-        d['video_item'] = vid_d
-
-    return d

src/langbot/libs/openclaw_weixin_api/types.py

@@ -1,200 +0,0 @@
-"""Type definitions for the OpenClaw WeChat API, mirroring the upstream protocol."""
-
-from __future__ import annotations
-
-from dataclasses import dataclass, field
-from typing import Any, Optional
-
-SESSION_EXPIRED_ERRCODE = -14
-
-
-class ApiError(Exception):
-    """Structured error raised by the OpenClaw WeChat API."""
-
-    def __init__(
-        self,
-        message: str,
-        *,
-        status: int = 0,
-        code: int | None = None,
-        payload: Any = None,
-    ):
-        super().__init__(message)
-        self.status = status
-        self.code = code
-        self.payload = payload
-
-    @property
-    def is_session_expired(self) -> bool:
-        return self.code == SESSION_EXPIRED_ERRCODE
-
-
-@dataclass
-class CDNMedia:
-    encrypt_query_param: Optional[str] = None
-    aes_key: Optional[str] = None
-    encrypt_type: Optional[int] = None
-
-
-@dataclass
-class TextItem:
-    text: Optional[str] = None
-
-
-@dataclass
-class ImageItem:
-    media: Optional[CDNMedia] = None
-    thumb_media: Optional[CDNMedia] = None
-    aeskey: Optional[str] = None
-    url: Optional[str] = None
-    mid_size: Optional[int] = None
-    thumb_size: Optional[int] = None
-    thumb_height: Optional[int] = None
-    thumb_width: Optional[int] = None
-    hd_size: Optional[int] = None
-    _downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
-
-
-@dataclass
-class VoiceItem:
-    media: Optional[CDNMedia] = None
-    encode_type: Optional[int] = None
-    bits_per_sample: Optional[int] = None
-    sample_rate: Optional[int] = None
-    playtime: Optional[int] = None
-    text: Optional[str] = None
-    _downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
-
-
-@dataclass
-class FileItem:
-    media: Optional[CDNMedia] = None
-    file_name: Optional[str] = None
-    md5: Optional[str] = None
-    len: Optional[str] = None
-    _downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
-
-
-@dataclass
-class VideoItem:
-    media: Optional[CDNMedia] = None
-    video_size: Optional[int] = None
-    play_length: Optional[int] = None
-    video_md5: Optional[str] = None
-    thumb_media: Optional[CDNMedia] = None
-    thumb_size: Optional[int] = None
-    thumb_height: Optional[int] = None
-    thumb_width: Optional[int] = None
-    _downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
-
-
-@dataclass
-class RefMessage:
-    message_item: Optional[MessageItem] = None
-    title: Optional[str] = None
-
-
-@dataclass
-class MessageItem:
-    """A single content item inside a WeixinMessage."""
-
-    # Item types
-    NONE = 0
-    TEXT = 1
-    IMAGE = 2
-    VOICE = 3
-    FILE = 4
-    VIDEO = 5
-
-    type: Optional[int] = None
-    create_time_ms: Optional[int] = None
-    update_time_ms: Optional[int] = None
-    is_completed: Optional[bool] = None
-    msg_id: Optional[str] = None
-    ref_msg: Optional[RefMessage] = None
-    text_item: Optional[TextItem] = None
-    image_item: Optional[ImageItem] = None
-    voice_item: Optional[VoiceItem] = None
-    file_item: Optional[FileItem] = None
-    video_item: Optional[VideoItem] = None
-
-
-@dataclass
-class WeixinMessage:
-    """Unified message from getUpdates or for sendMessage."""
-
-    # Message types
-    TYPE_USER = 1
-    TYPE_BOT = 2
-
-    # Message states
-    STATE_NEW = 0
-    STATE_GENERATING = 1
-    STATE_FINISH = 2
-
-    seq: Optional[int] = None
-    message_id: Optional[int] = None
-    from_user_id: Optional[str] = None
-    to_user_id: Optional[str] = None
-    client_id: Optional[str] = None
-    create_time_ms: Optional[int] = None
-    update_time_ms: Optional[int] = None
-    delete_time_ms: Optional[int] = None
-    session_id: Optional[str] = None
-    group_id: Optional[str] = None
-    message_type: Optional[int] = None
-    message_state: Optional[int] = None
-    item_list: Optional[list[MessageItem]] = None
-    context_token: Optional[str] = None
-
-
-@dataclass
-class GetUpdatesResponse:
-    ret: Optional[int] = None
-    errcode: Optional[int] = None
-    errmsg: Optional[str] = None
-    msgs: list[WeixinMessage] = field(default_factory=list)
-    get_updates_buf: Optional[str] = None
-    longpolling_timeout_ms: Optional[int] = None
-
-
-@dataclass
-class GetConfigResponse:
-    ret: Optional[int] = None
-    errmsg: Optional[str] = None
-    typing_ticket: Optional[str] = None
-
-
-@dataclass
-class GetUploadUrlResponse:
-    upload_param: Optional[str] = None
-    thumb_upload_param: Optional[str] = None
-
-
-@dataclass
-class QRCodeResponse:
-    """Response from get_bot_qrcode endpoint."""
-
-    qrcode: Optional[str] = None
-    qrcode_img_content: Optional[str] = None
-
-
-@dataclass
-class QRStatusResponse:
-    """Response from get_qrcode_status endpoint."""
-
-    status: Optional[str] = None  # "wait" | "scaned" | "confirmed" | "expired"
-    bot_token: Optional[str] = None
-    ilink_bot_id: Optional[str] = None
-    baseurl: Optional[str] = None
-    ilink_user_id: Optional[str] = None
-
-
-@dataclass
-class LoginResult:
-    """Result returned by the login flow."""
-
-    token: str
-    base_url: str
-    account_id: str
-    qr_image_base64: Optional[str] = None  # data URI of the last QR code shown

src/langbot/libs/wecom_ai_bot_api/api.py

@@ -199,253 +199,6 @@ class StreamSessionManager:
                 self._msg_index.pop(msg_id, None)
 
 
-async def download_encrypted_file(download_url: str, encoding_aes_key: str, logger: EventLogger) -> Optional[str]:
-    """Download an AES-encrypted file from WeChat Work and return as data URI.
-
-    Args:
-        download_url: The encrypted file download URL.
-        encoding_aes_key: The AES key used for decryption (base64-encoded, without trailing '=').
-        logger: Logger instance.
-
-    Returns:
-        A data URI string (e.g. 'data:image/jpeg;base64,...') or None on failure.
-    """
-    if not download_url:
-        return None
-    async with httpx.AsyncClient() as client:
-        response = await client.get(download_url)
-        if response.status_code != 200:
-            await logger.error(f'failed to get file: {response.text}')
-            return None
-        encrypted_bytes = response.content
-
-    aes_key = base64.b64decode(encoding_aes_key + '=')
-    iv = aes_key[:16]
-
-    cipher = AES.new(aes_key, AES.MODE_CBC, iv)
-    decrypted = cipher.decrypt(encrypted_bytes)
-
-    pad_len = decrypted[-1]
-    decrypted = decrypted[:-pad_len]
-
-    if decrypted.startswith(b'\xff\xd8'):
-        mime_type = 'image/jpeg'
-    elif decrypted.startswith(b'\x89PNG'):
-        mime_type = 'image/png'
-    elif decrypted.startswith((b'GIF87a', b'GIF89a')):
-        mime_type = 'image/gif'
-    elif decrypted.startswith(b'BM'):
-        mime_type = 'image/bmp'
-    elif decrypted.startswith(b'II*\x00') or decrypted.startswith(b'MM\x00*'):
-        mime_type = 'image/tiff'
-    else:
-        mime_type = 'application/octet-stream'
-
-    base64_str = base64.b64encode(decrypted).decode('utf-8')
-    return f'data:{mime_type};base64,{base64_str}'
-
-
-async def parse_wecom_bot_message(
-    msg_json: dict[str, Any], encoding_aes_key: str, logger: EventLogger
-) -> dict[str, Any]:
-    """Parse a decrypted WeChat Work AI Bot message JSON into a unified message dict.
-
-    This is the shared message parsing logic used by both webhook and WebSocket modes.
-
-    Args:
-        msg_json: The decrypted message JSON from WeChat Work.
-        encoding_aes_key: AES key for file decryption.
-        logger: Logger instance.
-
-    Returns:
-        A dict suitable for constructing a WecomBotEvent.
-    """
-    message_data: dict[str, Any] = {}
-
-    msg_type = msg_json.get('msgtype', '')
-    if msg_type:
-        message_data['msgtype'] = msg_type
-
-    if msg_json.get('chattype', '') == 'single':
-        message_data['type'] = 'single'
-    elif msg_json.get('chattype', '') == 'group':
-        message_data['type'] = 'group'
-
-    max_inline_file_size = 5 * 1024 * 1024
-
-    async def _safe_download(url: str):
-        if not url:
-            return None
-        return await download_encrypted_file(url, encoding_aes_key, logger)
-
-    if msg_type == 'text':
-        message_data['content'] = msg_json.get('text', {}).get('content')
-    elif msg_type == 'markdown':
-        message_data['content'] = msg_json.get('markdown', {}).get('content') or msg_json.get('text', {}).get(
-            'content', ''
-        )
-    elif msg_type == 'image':
-        picurl = msg_json.get('image', {}).get('url', '')
-        base64_data = await _safe_download(picurl)
-        if base64_data:
-            message_data['picurl'] = base64_data
-            message_data['images'] = [base64_data]
-    elif msg_type == 'voice':
-        voice_info = msg_json.get('voice', {}) or {}
-        download_url = voice_info.get('url')
-        message_data['voice'] = {
-            'url': download_url,
-            'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
-            'filesize': voice_info.get('filesize') or voice_info.get('size'),
-            'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
-        }
-        if voice_info.get('content'):
-            message_data['content'] = voice_info.get('content')
-        if (message_data['voice'].get('filesize') or 0) <= max_inline_file_size:
-            voice_base64 = await _safe_download(download_url)
-            if voice_base64:
-                message_data['voice']['base64'] = voice_base64
-    elif msg_type == 'video':
-        video_info = msg_json.get('video', {}) or {}
-        download_url = video_info.get('url')
-        video_data = {
-            'url': download_url,
-            'filesize': video_info.get('filesize') or video_info.get('size'),
-            'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
-            'md5sum': video_info.get('md5sum') or video_info.get('md5'),
-            'filename': video_info.get('filename') or video_info.get('name'),
-        }
-        if (video_data.get('filesize') or 0) <= max_inline_file_size:
-            video_base64 = await _safe_download(download_url)
-            if video_base64:
-                video_data['base64'] = video_base64
-        message_data['video'] = video_data
-    elif msg_type == 'file':
-        file_info = msg_json.get('file', {}) or {}
-        download_url = file_info.get('url') or file_info.get('fileurl')
-        file_data = {
-            'filename': file_info.get('filename') or file_info.get('name'),
-            'filesize': file_info.get('filesize') or file_info.get('size'),
-            'md5sum': file_info.get('md5sum') or file_info.get('md5'),
-            'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
-            'download_url': download_url,
-            'extra': file_info,
-        }
-        if (file_data.get('filesize') or 0) <= max_inline_file_size:
-            file_base64 = await _safe_download(download_url)
-            if file_base64:
-                file_data['base64'] = file_base64
-        message_data['file'] = file_data
-    elif msg_type == 'link':
-        message_data['link'] = msg_json.get('link', {})
-        if not message_data.get('content'):
-            title = message_data['link'].get('title', '')
-            desc = message_data['link'].get('description') or message_data['link'].get('digest', '')
-            message_data['content'] = '\n'.join(filter(None, [title, desc]))
-    elif msg_type == 'mixed':
-        items = msg_json.get('mixed', {}).get('msg_item', [])
-        texts = []
-        images = []
-        files = []
-        voices = []
-        videos = []
-        links = []
-        for item in items:
-            item_type = item.get('msgtype')
-            if item_type == 'text':
-                texts.append(item.get('text', {}).get('content', ''))
-            elif item_type == 'image':
-                img_url = item.get('image', {}).get('url')
-                base64_data = await _safe_download(img_url)
-                if base64_data:
-                    images.append(base64_data)
-            elif item_type == 'file':
-                file_info = item.get('file', {}) or {}
-                download_url = file_info.get('url') or file_info.get('fileurl')
-                file_data = {
-                    'filename': file_info.get('filename') or file_info.get('name'),
-                    'filesize': file_info.get('filesize') or file_info.get('size'),
-                    'md5sum': file_info.get('md5sum') or file_info.get('md5'),
-                    'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
-                    'download_url': download_url,
-                    'extra': file_info,
-                }
-                if (file_data.get('filesize') or 0) <= max_inline_file_size:
-                    file_base64 = await _safe_download(download_url)
-                    if file_base64:
-                        file_data['base64'] = file_base64
-                files.append(file_data)
-            elif item_type == 'voice':
-                voice_info = item.get('voice', {}) or {}
-                download_url = voice_info.get('url')
-                voice_data = {
-                    'url': download_url,
-                    'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
-                    'filesize': voice_info.get('filesize') or voice_info.get('size'),
-                    'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
-                }
-                if voice_info.get('content'):
-                    texts.append(voice_info.get('content'))
-                if (voice_data.get('filesize') or 0) <= max_inline_file_size:
-                    voice_base64 = await _safe_download(download_url)
-                    if voice_base64:
-                        voice_data['base64'] = voice_base64
-                voices.append(voice_data)
-            elif item_type == 'video':
-                video_info = item.get('video', {}) or {}
-                download_url = video_info.get('url')
-                video_data = {
-                    'url': download_url,
-                    'filesize': video_info.get('filesize') or video_info.get('size'),
-                    'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
-                    'md5sum': video_info.get('md5sum') or video_info.get('md5'),
-                    'filename': video_info.get('filename') or video_info.get('name'),
-                }
-                if (video_data.get('filesize') or 0) <= max_inline_file_size:
-                    video_base64 = await _safe_download(download_url)
-                    if video_base64:
-                        video_data['base64'] = video_base64
-                videos.append(video_data)
-            elif item_type == 'link':
-                links.append(item.get('link', {}))
-
-        if texts:
-            message_data['content'] = ' '.join(texts)
-        if images:
-            message_data['images'] = images
-            message_data['picurl'] = images[0]
-        if files:
-            message_data['files'] = files
-            message_data['file'] = files[0]
-        if voices:
-            message_data['voices'] = voices
-            message_data['voice'] = voices[0]
-        if videos:
-            message_data['videos'] = videos
-            message_data['video'] = videos[0]
-        if links:
-            message_data['link'] = links[0]
-        if items:
-            message_data['attachments'] = items
-    else:
-        message_data['raw_msg'] = msg_json
-
-    from_info = msg_json.get('from', {})
-    message_data['userid'] = from_info.get('userid', '')
-    message_data['username'] = from_info.get('alias', '') or from_info.get('name', '') or from_info.get('userid', '')
-
-    if msg_json.get('chattype', '') == 'group':
-        message_data['chatid'] = msg_json.get('chatid', '')
-        message_data['chatname'] = msg_json.get('chatname', '') or msg_json.get('chatid', '')
-
-    message_data['msgid'] = msg_json.get('msgid', '')
-
-    if msg_json.get('aibotid'):
-        message_data['aibotid'] = msg_json.get('aibotid', '')
-
-    return message_data
-
-
 class WecomBotClient:
     def __init__(self, Token: str, EnCodingAESKey: str, Corpid: str, logger: EventLogger, unified_mode: bool = False):
         """企业微信智能机器人客户端。
@@ -702,7 +455,196 @@ class WecomBotClient:
         return await self._handle_post_initial_response(msg_json, nonce)
 
     async def get_message(self, msg_json):
-        return await parse_wecom_bot_message(msg_json, self.EnCodingAESKey, self.logger)
+        message_data = {}
+
+        msg_type = msg_json.get('msgtype', '')
+        if msg_type:
+            message_data['msgtype'] = msg_type
+
+        if msg_json.get('chattype', '') == 'single':
+            message_data['type'] = 'single'
+        elif msg_json.get('chattype', '') == 'group':
+            message_data['type'] = 'group'
+
+        max_inline_file_size = 5 * 1024 * 1024  # avoid decoding very large payloads by default
+
+        async def _safe_download(url: str):
+            if not url:
+                return None
+            return await self.download_url_to_base64(url, self.EnCodingAESKey)
+
+        if msg_type == 'text':
+            message_data['content'] = msg_json.get('text', {}).get('content')
+        elif msg_type == 'markdown':
+            message_data['content'] = msg_json.get('markdown', {}).get('content') or msg_json.get('text', {}).get(
+                'content', ''
+            )
+        elif msg_type == 'image':
+            picurl = msg_json.get('image', {}).get('url', '')
+            base64_data = await _safe_download(picurl)
+            if base64_data:
+                message_data['picurl'] = base64_data
+                message_data['images'] = [base64_data]
+        elif msg_type == 'voice':
+            voice_info = msg_json.get('voice', {}) or {}
+            download_url = voice_info.get('url')
+            message_data['voice'] = {
+                'url': download_url,
+                'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
+                'filesize': voice_info.get('filesize') or voice_info.get('size'),
+                'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
+            }
+            # 企业微信智能转写文本（如果已有）直接复用，避免重复转写
+            if voice_info.get('content'):
+                message_data['content'] = voice_info.get('content')
+            if (message_data['voice'].get('filesize') or 0) <= max_inline_file_size:
+                voice_base64 = await _safe_download(download_url)
+                if voice_base64:
+                    message_data['voice']['base64'] = voice_base64
+        elif msg_type == 'video':
+            video_info = msg_json.get('video', {}) or {}
+            download_url = video_info.get('url')
+            video_data = {
+                'url': download_url,
+                'filesize': video_info.get('filesize') or video_info.get('size'),
+                'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
+                'md5sum': video_info.get('md5sum') or video_info.get('md5'),
+                'filename': video_info.get('filename') or video_info.get('name'),
+            }
+            if (video_data.get('filesize') or 0) <= max_inline_file_size:
+                video_base64 = await _safe_download(download_url)
+                if video_base64:
+                    video_data['base64'] = video_base64
+            message_data['video'] = video_data
+        elif msg_type == 'file':
+            file_info = msg_json.get('file', {}) or {}
+            download_url = file_info.get('url') or file_info.get('fileurl')
+            file_data = {
+                'filename': file_info.get('filename') or file_info.get('name'),
+                'filesize': file_info.get('filesize') or file_info.get('size'),
+                'md5sum': file_info.get('md5sum') or file_info.get('md5'),
+                'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
+                'download_url': download_url,
+                'extra': file_info,
+            }
+            if (file_data.get('filesize') or 0) <= max_inline_file_size:
+                file_base64 = await _safe_download(download_url)
+                if file_base64:
+                    file_data['base64'] = file_base64
+            message_data['file'] = file_data
+        elif msg_type == 'link':
+            message_data['link'] = msg_json.get('link', {})
+            if not message_data.get('content'):
+                title = message_data['link'].get('title', '')
+                desc = message_data['link'].get('description') or message_data['link'].get('digest', '')
+                message_data['content'] = '\n'.join(filter(None, [title, desc]))
+        elif msg_type == 'mixed':
+            items = msg_json.get('mixed', {}).get('msg_item', [])
+            texts = []
+            images = []
+            files = []
+            voices = []
+            videos = []
+            links = []
+            for item in items:
+                item_type = item.get('msgtype')
+                if item_type == 'text':
+                    texts.append(item.get('text', {}).get('content', ''))
+                elif item_type == 'image':
+                    img_url = item.get('image', {}).get('url')
+                    base64_data = await _safe_download(img_url)
+                    if base64_data:
+                        images.append(base64_data)
+                elif item_type == 'file':
+                    file_info = item.get('file', {}) or {}
+                    download_url = file_info.get('url') or file_info.get('fileurl')
+                    file_data = {
+                        'filename': file_info.get('filename') or file_info.get('name'),
+                        'filesize': file_info.get('filesize') or file_info.get('size'),
+                        'md5sum': file_info.get('md5sum') or file_info.get('md5'),
+                        'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
+                        'download_url': download_url,
+                        'extra': file_info,
+                    }
+                    if (file_data.get('filesize') or 0) <= max_inline_file_size:
+                        file_base64 = await _safe_download(download_url)
+                        if file_base64:
+                            file_data['base64'] = file_base64
+                    files.append(file_data)
+                elif item_type == 'voice':
+                    voice_info = item.get('voice', {}) or {}
+                    download_url = voice_info.get('url')
+                    voice_data = {
+                        'url': download_url,
+                        'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
+                        'filesize': voice_info.get('filesize') or voice_info.get('size'),
+                        'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
+                    }
+                    if voice_info.get('content'):
+                        texts.append(voice_info.get('content'))
+                    if (voice_data.get('filesize') or 0) <= max_inline_file_size:
+                        voice_base64 = await _safe_download(download_url)
+                        if voice_base64:
+                            voice_data['base64'] = voice_base64
+                    voices.append(voice_data)
+                elif item_type == 'video':
+                    video_info = item.get('video', {}) or {}
+                    download_url = video_info.get('url')
+                    video_data = {
+                        'url': download_url,
+                        'filesize': video_info.get('filesize') or video_info.get('size'),
+                        'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
+                        'md5sum': video_info.get('md5sum') or video_info.get('md5'),
+                        'filename': video_info.get('filename') or video_info.get('name'),
+                    }
+                    if (video_data.get('filesize') or 0) <= max_inline_file_size:
+                        video_base64 = await _safe_download(download_url)
+                        if video_base64:
+                            video_data['base64'] = video_base64
+                    videos.append(video_data)
+                elif item_type == 'link':
+                    links.append(item.get('link', {}))
+
+            if texts:
+                message_data['content'] = ' '.join(texts)  # 拼接所有 text
+            if images:
+                message_data['images'] = images
+                message_data['picurl'] = images[0]  # 只保留第一个 image
+            if files:
+                message_data['files'] = files
+                message_data['file'] = files[0]
+            if voices:
+                message_data['voices'] = voices
+                message_data['voice'] = voices[0]
+            if videos:
+                message_data['videos'] = videos
+                message_data['video'] = videos[0]
+            if links:
+                message_data['link'] = links[0]
+            if items:
+                message_data['attachments'] = items
+        else:
+            message_data['raw_msg'] = msg_json
+
+        # Extract user information
+        from_info = msg_json.get('from', {})
+        message_data['userid'] = from_info.get('userid', '')
+        message_data['username'] = (
+            from_info.get('alias', '') or from_info.get('name', '') or from_info.get('userid', '')
+        )
+
+        # Extract chat/group information
+        if msg_json.get('chattype', '') == 'group':
+            message_data['chatid'] = msg_json.get('chatid', '')
+            # Try to get group name if available
+            message_data['chatname'] = msg_json.get('chatname', '') or msg_json.get('chatid', '')
+
+        message_data['msgid'] = msg_json.get('msgid', '')
+
+        if msg_json.get('aibotid'):
+            message_data['aibotid'] = msg_json.get('aibotid', '')
+
+        return message_data
 
     async def _handle_message(self, event: wecombotevent.WecomBotEvent):
         """
@@ -770,7 +712,39 @@ class WecomBotClient:
         return decorator
 
     async def download_url_to_base64(self, download_url, encoding_aes_key):
-        return await download_encrypted_file(download_url, encoding_aes_key, self.logger)
+        async with httpx.AsyncClient() as client:
+            response = await client.get(download_url)
+            if response.status_code != 200:
+                await self.logger.error(f'failed to get file: {response.text}')
+                return None
+
+            encrypted_bytes = response.content
+
+        aes_key = base64.b64decode(encoding_aes_key + '=')  # base64 补齐
+        iv = aes_key[:16]
+
+        cipher = AES.new(aes_key, AES.MODE_CBC, iv)
+        decrypted = cipher.decrypt(encrypted_bytes)
+
+        pad_len = decrypted[-1]
+        decrypted = decrypted[:-pad_len]
+
+        if decrypted.startswith(b'\xff\xd8'):  # JPEG
+            mime_type = 'image/jpeg'
+        elif decrypted.startswith(b'\x89PNG'):  # PNG
+            mime_type = 'image/png'
+        elif decrypted.startswith((b'GIF87a', b'GIF89a')):  # GIF
+            mime_type = 'image/gif'
+        elif decrypted.startswith(b'BM'):  # BMP
+            mime_type = 'image/bmp'
+        elif decrypted.startswith(b'II*\x00') or decrypted.startswith(b'MM\x00*'):  # TIFF
+            mime_type = 'image/tiff'
+        else:
+            mime_type = 'application/octet-stream'
+
+        # 转 base64
+        base64_str = base64.b64encode(decrypted).decode('utf-8')
+        return f'data:{mime_type};base64,{base64_str}'
 
     async def run_task(self, host: str, port: int, *args, **kwargs):
         """

src/langbot/libs/wecom_ai_bot_api/ws_client.py

@@ -1,596 +0,0 @@
-"""WeChat Work AI Bot WebSocket long connection client.
-
-Implements the WebSocket protocol for receiving messages and sending replies
-via a persistent connection to wss://openws.work.weixin.qq.com, as an
-alternative to the HTTP callback (webhook) mode.
-
-Protocol reference: https://developer.work.weixin.qq.com/document/path/101463
-Official Node.js SDK: https://github.com/WecomTeam/aibot-node-sdk
-"""
-
-from __future__ import annotations
-
-import asyncio
-import json
-import secrets
-import time
-import traceback
-from typing import Any, Callable, Optional
-
-import aiohttp
-
-from langbot.libs.wecom_ai_bot_api import wecombotevent
-from langbot.libs.wecom_ai_bot_api.api import parse_wecom_bot_message
-from langbot.pkg.platform.logger import EventLogger
-
-DEFAULT_WS_URL = 'wss://openws.work.weixin.qq.com'
-
-# WebSocket frame command constants
-CMD_SUBSCRIBE = 'aibot_subscribe'
-CMD_HEARTBEAT = 'ping'
-CMD_MSG_CALLBACK = 'aibot_msg_callback'
-CMD_EVENT_CALLBACK = 'aibot_event_callback'
-CMD_RESPOND_MSG = 'aibot_respond_msg'
-CMD_RESPOND_WELCOME = 'aibot_respond_welcome_msg'
-CMD_RESPOND_UPDATE = 'aibot_respond_update_msg'
-CMD_SEND_MSG = 'aibot_send_msg'
-
-
-def _generate_req_id(prefix: str) -> str:
-    """Generate a unique request ID in the format: {prefix}_{timestamp}_{random}."""
-    ts = int(time.time() * 1000)
-    rand = secrets.token_hex(4)
-    return f'{prefix}_{ts}_{rand}'
-
-
-class WecomBotWsClient:
-    """WeChat Work AI Bot WebSocket long connection client.
-
-    Provides message receiving, streaming reply, proactive message sending,
-    and event callback handling over a persistent WebSocket connection.
-    """
-
-    def __init__(
-        self,
-        bot_id: str,
-        secret: str,
-        logger: EventLogger,
-        encoding_aes_key: str = '',
-        ws_url: str = DEFAULT_WS_URL,
-        heartbeat_interval: float = 30.0,
-        max_reconnect_attempts: int = -1,
-        reconnect_base_delay: float = 1.0,
-        reconnect_max_delay: float = 30.0,
-    ):
-        self.bot_id = bot_id
-        self.secret = secret
-        self.logger = logger
-        self.encoding_aes_key = encoding_aes_key
-        self.ws_url = ws_url
-        self.heartbeat_interval = heartbeat_interval
-        self.max_reconnect_attempts = max_reconnect_attempts
-        self.reconnect_base_delay = reconnect_base_delay
-        self.reconnect_max_delay = reconnect_max_delay
-
-        self._ws: Optional[aiohttp.ClientWebSocketResponse] = None
-        self._session: Optional[aiohttp.ClientSession] = None
-        self._running = False
-        self._heartbeat_task: Optional[asyncio.Task] = None
-        self._missed_pong_count = 0
-        self._max_missed_pong = 2
-        self._reconnect_attempts = 0
-
-        # Message handler registry (same pattern as WecomBotClient)
-        self._message_handlers: dict[str, list[Callable]] = {}
-        # Message deduplication
-        self._msg_id_map: dict[str, int] = {}
-
-        # Pending ACK futures: req_id -> Future[dict]
-        self._pending_acks: dict[str, asyncio.Future] = {}
-        # Per-req_id serial reply queues
-        self._reply_queues: dict[str, asyncio.Queue] = {}
-        self._reply_workers: dict[str, asyncio.Task] = {}
-        self._reply_ack_timeout = 5.0
-
-        # Stream ID tracking for WebSocket mode
-        self._stream_ids: dict[str, str] = {}  # msg_id -> req_id|stream_id
-        # Dedup: skip sending when content hasn't changed
-        self._stream_last_content: dict[str, str] = {}  # msg_id -> last content sent
-
-    # ── Public API ──────────────────────────────────────────────────
-
-    async def connect(self):
-        """Connect to WebSocket server with automatic reconnection.
-
-        This method blocks until disconnect() is called or max reconnect
-        attempts are exhausted.
-        """
-        self._running = True
-        self._reconnect_attempts = 0
-
-        while self._running:
-            try:
-                await self._connect_once()
-            except Exception:
-                if not self._running:
-                    break
-                await self.logger.error(f'WebSocket connection error: {traceback.format_exc()}')
-
-            if not self._running:
-                break
-
-            # Reconnect with exponential backoff
-            if self.max_reconnect_attempts != -1 and self._reconnect_attempts >= self.max_reconnect_attempts:
-                await self.logger.error(f'Max reconnect attempts reached ({self.max_reconnect_attempts}), giving up')
-                break
-
-            self._reconnect_attempts += 1
-            delay = min(
-                self.reconnect_base_delay * (2 ** (self._reconnect_attempts - 1)),
-                self.reconnect_max_delay,
-            )
-            await self.logger.info(f'Reconnecting in {delay:.1f}s (attempt {self._reconnect_attempts})...')
-            await asyncio.sleep(delay)
-
-    async def disconnect(self):
-        """Gracefully disconnect from the WebSocket server."""
-        self._running = False
-        if self._heartbeat_task and not self._heartbeat_task.done():
-            self._heartbeat_task.cancel()
-        for task in self._reply_workers.values():
-            if not task.done():
-                task.cancel()
-        if self._ws and not self._ws.closed:
-            await self._ws.close()
-        self._ws = None
-        if self._session and not self._session.closed:
-            await self._session.close()
-        self._session = None
-
-    def on_message(self, msg_type: str) -> Callable:
-        """Decorator to register a message handler.
-
-        Same interface as WecomBotClient.on_message for compatibility.
-
-        Args:
-            msg_type: 'single', 'group', or specific message type.
-        """
-
-        def decorator(func: Callable[[wecombotevent.WecomBotEvent], Any]):
-            if msg_type not in self._message_handlers:
-                self._message_handlers[msg_type] = []
-            self._message_handlers[msg_type].append(func)
-            return func
-
-        return decorator
-
-    async def reply_stream(
-        self,
-        req_id: str,
-        stream_id: str,
-        content: str,
-        finish: bool = False,
-    ) -> Optional[dict]:
-        """Send a streaming reply frame.
-
-        Args:
-            req_id: The req_id from the original message frame (must be passed through).
-            stream_id: The stream ID for this streaming session.
-            content: The content to send (supports Markdown).
-            finish: Whether this is the final chunk.
-
-        Returns:
-            The ACK frame dict, or None on failure.
-        """
-        body = {
-            'msgtype': 'stream',
-            'stream': {
-                'id': stream_id,
-                'finish': finish,
-                'content': content,
-            },
-        }
-        return await self._send_reply(req_id, body)
-
-    async def reply_text(self, req_id: str, content: str) -> Optional[dict]:
-        """Send a non-streaming text reply.
-
-        Args:
-            req_id: The req_id from the original message frame.
-            content: The text content to reply.
-
-        Returns:
-            The ACK frame dict, or None on failure.
-        """
-        body = {
-            'msgtype': 'markdown',
-            'markdown': {
-                'content': content,
-            },
-        }
-        return await self._send_reply(req_id, body)
-
-    async def send_message(self, chat_id: str, content: str, msgtype: str = 'markdown') -> Optional[dict]:
-        """Proactively send a message to a specified chat.
-
-        Args:
-            chat_id: The chat ID (userid for single chat, chatid for group chat).
-            content: The message content.
-            msgtype: Message type, 'markdown' by default.
-
-        Returns:
-            The ACK frame dict, or None on failure.
-        """
-        req_id = _generate_req_id(CMD_SEND_MSG)
-        body: dict[str, Any] = {
-            'chatid': chat_id,
-            'msgtype': msgtype,
-        }
-        if msgtype == 'markdown':
-            body['markdown'] = {'content': content}
-        elif msgtype == 'text':
-            body['text'] = {'content': content}
-        return await self._send_reply(req_id, body, cmd=CMD_SEND_MSG)
-
-    async def push_stream_chunk(self, msg_id: str, content: str, is_final: bool = False) -> bool:
-        """Push a streaming chunk for a given message ID.
-
-        Compatible interface with WecomBotClient.push_stream_chunk.
-
-        Args:
-            msg_id: The original message ID.
-            content: The cumulative content from the pipeline.
-            is_final: Whether this is the final chunk.
-
-        Returns:
-            True if the stream session exists and chunk was sent.
-        """
-        key = self._stream_ids.get(msg_id)
-        if not key:
-            return False
-        req_id, stream_id = key.split('|', 1)
-        try:
-            # Skip sending if content hasn't changed (e.g. during tool call argument streaming)
-            if not is_final and content == self._stream_last_content.get(msg_id):
-                return True
-            await self.reply_stream(req_id, stream_id, content, finish=is_final)
-            self._stream_last_content[msg_id] = content
-            if is_final:
-                self._stream_ids.pop(msg_id, None)
-                self._stream_last_content.pop(msg_id, None)
-            return True
-        except Exception:
-            await self.logger.error(f'Failed to push stream chunk: {traceback.format_exc()}')
-            return False
-
-    async def set_message(self, msg_id: str, content: str):
-        """Fallback: send content as a final stream chunk or direct reply.
-
-        Compatible interface with WecomBotClient.set_message.
-        """
-        handled = await self.push_stream_chunk(msg_id, content, is_final=True)
-        if not handled:
-            await self.logger.warning(f'No active stream for msg_id={msg_id}, message dropped')
-
-    # ── Connection lifecycle ────────────────────────────────────────
-
-    async def _connect_once(self):
-        """Establish a single WebSocket connection, authenticate, and listen."""
-        await self.logger.info(f'Connecting to {self.ws_url}...')
-
-        self._session = aiohttp.ClientSession()
-        try:
-            self._ws = await self._session.ws_connect(self.ws_url)
-            self._missed_pong_count = 0
-            self._reconnect_attempts = 0
-            await self.logger.info('WebSocket connected, sending auth...')
-
-            await self._send_auth()
-
-            # Wait for auth response
-            auth_ok = await self._wait_for_auth()
-            if not auth_ok:
-                await self.logger.error('Authentication failed')
-                return
-
-            await self.logger.info('Authenticated successfully')
-
-            # Start heartbeat
-            self._heartbeat_task = asyncio.create_task(self._heartbeat_loop())
-
-            try:
-                await self._listen_loop()
-            finally:
-                if self._heartbeat_task and not self._heartbeat_task.done():
-                    self._heartbeat_task.cancel()
-                self._clear_pending_acks('Connection closed')
-        finally:
-            if self._ws and not self._ws.closed:
-                await self._ws.close()
-            self._ws = None
-            if self._session and not self._session.closed:
-                await self._session.close()
-            self._session = None
-
-    async def _send_auth(self):
-        """Send the authentication frame."""
-        frame = {
-            'cmd': CMD_SUBSCRIBE,
-            'headers': {'req_id': _generate_req_id(CMD_SUBSCRIBE)},
-            'body': {
-                'bot_id': self.bot_id,
-                'secret': self.secret,
-            },
-        }
-        await self._send_frame(frame)
-
-    async def _wait_for_auth(self) -> bool:
-        """Wait for and validate the authentication response."""
-        try:
-            msg = await asyncio.wait_for(self._ws.receive(), timeout=10.0)
-            if msg.type in (aiohttp.WSMsgType.TEXT,):
-                frame = json.loads(msg.data)
-                req_id = frame.get('headers', {}).get('req_id', '')
-                if req_id.startswith(CMD_SUBSCRIBE) and frame.get('errcode') == 0:
-                    return True
-                await self.logger.error(f'Auth response: errcode={frame.get("errcode")}, errmsg={frame.get("errmsg")}')
-                return False
-            elif msg.type in (aiohttp.WSMsgType.ERROR, aiohttp.WSMsgType.CLOSED, aiohttp.WSMsgType.CLOSING):
-                await self.logger.error(f'WebSocket closed during auth: {msg.type}')
-                return False
-            await self.logger.error(f'Unexpected message type during auth: {msg.type}')
-            return False
-        except asyncio.TimeoutError:
-            await self.logger.error('Auth response timeout')
-            return False
-
-    async def _heartbeat_loop(self):
-        """Periodically send heartbeat pings."""
-        try:
-            while self._running and self._ws and not self._ws.closed:
-                await asyncio.sleep(self.heartbeat_interval)
-                if not self._running or not self._ws or self._ws.closed:
-                    break
-
-                if self._missed_pong_count >= self._max_missed_pong:
-                    await self.logger.warning(
-                        f'No heartbeat ack for {self._missed_pong_count} consecutive pings, connection considered dead'
-                    )
-                    await self._ws.close()
-                    break
-
-                self._missed_pong_count += 1
-                frame = {
-                    'cmd': CMD_HEARTBEAT,
-                    'headers': {'req_id': _generate_req_id(CMD_HEARTBEAT)},
-                }
-                try:
-                    await self._send_frame(frame)
-                except Exception:
-                    break
-        except asyncio.CancelledError:
-            pass
-
-    async def _listen_loop(self):
-        """Listen for incoming WebSocket frames and dispatch them."""
-        async for msg in self._ws:
-            if not self._running:
-                break
-            if msg.type == aiohttp.WSMsgType.TEXT:
-                try:
-                    frame = json.loads(msg.data)
-                    await self._handle_frame(frame)
-                except json.JSONDecodeError:
-                    await self.logger.error(f'Failed to parse WebSocket message: {str(msg.data)[:200]}')
-                except Exception:
-                    await self.logger.error(f'Error handling frame: {traceback.format_exc()}')
-            elif msg.type == aiohttp.WSMsgType.BINARY:
-                try:
-                    frame = json.loads(msg.data)
-                    await self._handle_frame(frame)
-                except Exception:
-                    await self.logger.error(f'Error handling binary frame: {traceback.format_exc()}')
-            elif msg.type in (aiohttp.WSMsgType.ERROR, aiohttp.WSMsgType.CLOSED, aiohttp.WSMsgType.CLOSING):
-                await self.logger.warning(f'WebSocket connection closed: {msg.type}')
-                break
-
-    # ── Frame handling ──────────────────────────────────────────────
-
-    async def _handle_frame(self, frame: dict):
-        """Route an incoming frame to the appropriate handler."""
-        cmd = frame.get('cmd', '')
-
-        # Message push
-        if cmd == CMD_MSG_CALLBACK:
-            asyncio.create_task(self._handle_message_callback(frame))
-            return
-
-        # Event push
-        if cmd == CMD_EVENT_CALLBACK:
-            asyncio.create_task(self._handle_event_callback(frame))
-            return
-
-        # No cmd → response/ACK frame, dispatch by req_id prefix
-        req_id = frame.get('headers', {}).get('req_id', '')
-
-        # Check pending ACKs first
-        if req_id in self._pending_acks:
-            future = self._pending_acks.pop(req_id)
-            if not future.done():
-                future.set_result(frame)
-            return
-
-        # Heartbeat response
-        if req_id.startswith(CMD_HEARTBEAT):
-            if frame.get('errcode') == 0:
-                self._missed_pong_count = 0
-            return
-
-        # Unknown frame
-        await self.logger.warning(f'Unknown frame: {json.dumps(frame, ensure_ascii=False)[:200]}')
-
-    async def _handle_message_callback(self, frame: dict):
-        """Handle an incoming message callback frame."""
-        try:
-            body = frame.get('body', {})
-            req_id = frame.get('headers', {}).get('req_id', '')
-
-            # Parse message using shared logic
-            message_data = await parse_wecom_bot_message(body, self.encoding_aes_key, self.logger)
-            if not message_data:
-                return
-
-            # Generate stream_id for this message and store the mapping
-            stream_id = _generate_req_id('stream')
-            msg_id = message_data.get('msgid', '')
-            if msg_id:
-                self._stream_ids[msg_id] = f'{req_id}|{stream_id}'
-            message_data['stream_id'] = stream_id
-            message_data['req_id'] = req_id
-
-            event = wecombotevent.WecomBotEvent(message_data)
-            await self._dispatch_event(event)
-        except Exception:
-            await self.logger.error(f'Error in message callback: {traceback.format_exc()}')
-
-    async def _handle_event_callback(self, frame: dict):
-        """Handle an incoming event callback frame (enter_chat, template_card_event, etc.)."""
-        try:
-            body = frame.get('body', {})
-            req_id = frame.get('headers', {}).get('req_id', '')
-
-            event_info = body.get('event', {})
-            event_type = event_info.get('eventtype', '')
-
-            message_data = {
-                'msgtype': 'event',
-                'type': body.get('chattype', 'single'),
-                'event': event_info,
-                'eventtype': event_type,
-                'msgid': body.get('msgid', ''),
-                'aibotid': body.get('aibotid', ''),
-                'req_id': req_id,
-            }
-
-            from_info = body.get('from', {})
-            message_data['userid'] = from_info.get('userid', '')
-            message_data['username'] = from_info.get('alias', '') or from_info.get('userid', '')
-
-            if body.get('chatid'):
-                message_data['chatid'] = body.get('chatid', '')
-
-            event = wecombotevent.WecomBotEvent(message_data)
-
-            # Dispatch to event-specific handlers
-            if event_type in self._message_handlers:
-                for handler in self._message_handlers[event_type]:
-                    await handler(event)
-
-            # Also dispatch to generic 'event' handlers
-            if 'event' in self._message_handlers:
-                for handler in self._message_handlers['event']:
-                    await handler(event)
-
-        except Exception:
-            await self.logger.error(f'Error in event callback: {traceback.format_exc()}')
-
-    async def _dispatch_event(self, event: wecombotevent.WecomBotEvent):
-        """Dispatch a message event to registered handlers with deduplication."""
-        try:
-            message_id = event.message_id
-            if message_id in self._msg_id_map:
-                self._msg_id_map[message_id] += 1
-                return
-            self._msg_id_map[message_id] = 1
-
-            msg_type = event.type
-            if msg_type in self._message_handlers:
-                for handler in self._message_handlers[msg_type]:
-                    await handler(event)
-        except Exception:
-            await self.logger.error(f'Error dispatching event: {traceback.format_exc()}')
-
-    # ── Reply sending with serial queue ─────────────────────────────
-
-    async def _send_reply(
-        self,
-        req_id: str,
-        body: dict,
-        cmd: str = CMD_RESPOND_MSG,
-    ) -> Optional[dict]:
-        """Send a reply frame and wait for ACK.
-
-        Replies with the same req_id are serialized to maintain ordering.
-        """
-        if not self._ws or self._ws.closed:
-            return None
-
-        frame = {
-            'cmd': cmd,
-            'headers': {'req_id': req_id},
-            'body': body,
-        }
-
-        # Ensure serial delivery per req_id
-        if req_id not in self._reply_queues:
-            self._reply_queues[req_id] = asyncio.Queue()
-            self._reply_workers[req_id] = asyncio.create_task(self._reply_queue_worker(req_id))
-
-        future: asyncio.Future = asyncio.get_event_loop().create_future()
-        await self._reply_queues[req_id].put((frame, future))
-        return await future
-
-    async def _reply_queue_worker(self, req_id: str):
-        """Process reply queue items serially for a given req_id."""
-        queue = self._reply_queues[req_id]
-        try:
-            while self._running:
-                try:
-                    frame, future = await asyncio.wait_for(queue.get(), timeout=60.0)
-                except asyncio.TimeoutError:
-                    # Queue idle, clean up worker
-                    break
-
-                try:
-                    ack = await self._send_and_wait_ack(frame)
-                    if not future.done():
-                        future.set_result(ack)
-                except Exception as e:
-                    if not future.done():
-                        future.set_exception(e)
-        except asyncio.CancelledError:
-            pass
-        finally:
-            self._reply_queues.pop(req_id, None)
-            self._reply_workers.pop(req_id, None)
-
-    async def _send_and_wait_ack(self, frame: dict) -> Optional[dict]:
-        """Send a frame and wait for the corresponding ACK."""
-        req_id = frame['headers']['req_id']
-        ack_future: asyncio.Future = asyncio.get_event_loop().create_future()
-        self._pending_acks[req_id] = ack_future
-
-        try:
-            await self._send_frame(frame)
-            result = await asyncio.wait_for(ack_future, timeout=self._reply_ack_timeout)
-            if result.get('errcode', 0) != 0:
-                await self.logger.warning(
-                    f'Reply ACK error: errcode={result.get("errcode")}, errmsg={result.get("errmsg")}'
-                )
-            return result
-        except asyncio.TimeoutError:
-            self._pending_acks.pop(req_id, None)
-            await self.logger.warning(f'Reply ACK timeout ({self._reply_ack_timeout}s) for req_id={req_id}')
-            return None
-
-    async def _send_frame(self, frame: dict):
-        """Send a JSON frame over the WebSocket connection."""
-        if self._ws and not self._ws.closed:
-            await self._ws.send_str(json.dumps(frame, ensure_ascii=False))
-
-    def _clear_pending_acks(self, reason: str):
-        """Reject all pending ACK futures on disconnection."""
-        for req_id, future in self._pending_acks.items():
-            if not future.done():
-                future.set_exception(ConnectionError(reason))
-        self._pending_acks.clear()

src/langbot/libs/wecom_api/api.py

@@ -4,7 +4,6 @@ import base64
 import binascii
 import httpx
 import traceback
-from urllib.parse import quote
 from quart import Quart
 import xml.etree.ElementTree as ET
 from typing import Callable, Dict, Any
@@ -68,31 +67,6 @@ class WecomClient:
                 await self.logger.error(f'获取accesstoken失败:{response.json()}')
                 raise Exception(f'未获取access token: {data}')
 
-    async def get_user_info(self, userid: str) -> dict:
-        """
-        Get user information by user ID using the application secret.
-
-        Args:
-            userid: The user ID to look up.
-
-        Returns:
-            dict: User information including 'name' field.
-        """
-        if not await self.check_access_token():
-            self.access_token = await self.get_access_token(self.secret)
-
-        url = self.base_url + '/user/get?access_token=' + self.access_token + '&userid=' + quote(userid)
-        async with httpx.AsyncClient() as client:
-            response = await client.get(url)
-            data = response.json()
-            if data.get('errcode') == 40014 or data.get('errcode') == 42001:
-                self.access_token = await self.get_access_token(self.secret)
-                return await self.get_user_info(userid)
-            if data.get('errcode', 0) != 0:
-                await self.logger.error(f'获取用户信息失败:{data}')
-                return {}
-            return data
-
     async def get_users(self):
         if not self.check_access_token_for_contacts():
             self.access_token_for_contacts = await self.get_access_token(self.secret_for_contacts)

src/langbot/libs/wecom_customer_service_api/api.py

@@ -10,7 +10,6 @@ from typing import Callable
 from .wecomcsevent import WecomCSEvent
 import langbot_plugin.api.entities.builtin.platform.message as platform_message
 import aiofiles
-import time
 
 
 class WecomCSClient:
@@ -35,10 +34,6 @@ class WecomCSClient:
         self.unified_mode = unified_mode
         self.app = Quart(__name__)
 
-        # Customer info cache: {external_userid: (info_dict, timestamp)}
-        self._customer_cache: dict[str, tuple[dict, float]] = {}
-        self._cache_ttl = 60  # Cache TTL in seconds (1 minute)
-
         # 只有在非统一模式下才注册独立路由
         if not self.unified_mode:
             self.app.add_url_rule(
@@ -383,53 +378,3 @@ class WecomCSClient:
     async def get_media_id(self, image: platform_message.Image):
         media_id = await self.upload_to_work(image=image)
         return media_id
-
-    async def get_customer_info(self, external_userid: str) -> dict | None:
-        """
-        Get customer information by external_userid with caching.
-
-        Uses a 1-minute cache to avoid repeated API calls for the same user.
-
-        Args:
-            external_userid: The external user ID of the customer.
-
-        Returns:
-            Customer info dict with 'nickname', 'avatar', etc., or None if not found.
-        """
-        # Check cache first
-        current_time = time.time()
-        if external_userid in self._customer_cache:
-            cached_info, cached_time = self._customer_cache[external_userid]
-            if current_time - cached_time < self._cache_ttl:
-                return cached_info
-
-        # Cache miss or expired, fetch from API
-        if not await self.check_access_token():
-            self.access_token = await self.get_access_token(self.secret)
-
-        url = f'{self.base_url}/kf/customer/batchget?access_token={self.access_token}'
-
-        payload = {
-            'external_userid_list': [external_userid],
-        }
-
-        async with httpx.AsyncClient() as client:
-            response = await client.post(url, json=payload)
-            data = response.json()
-
-            if data.get('errcode') in [40014, 42001]:
-                self.access_token = await self.get_access_token(self.secret)
-                return await self.get_customer_info(external_userid)
-
-            if data.get('errcode', 0) != 0:
-                if self.logger:
-                    await self.logger.warning(f'Failed to get customer info: {data}')
-                return None
-
-            customer_list = data.get('customer_list', [])
-            if customer_list:
-                customer_info = customer_list[0]
-                # Store in cache
-                self._customer_cache[external_userid] = (customer_info, current_time)
-                return customer_info
-            return None

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

@@ -13,9 +13,9 @@ from .. import group
 @group.group_class('files', '/api/v1/files')
 class FilesRouterGroup(group.RouterGroup):
     async def initialize(self) -> None:
-        @self.route('/image/<path:image_key>', methods=['GET'], auth_type=group.AuthType.NONE)
+        @self.route('/image/<image_key>', methods=['GET'], auth_type=group.AuthType.NONE)
         async def _(image_key: str) -> quart.Response:
-            if '..' in image_key or '\\' in image_key:
+            if '/' in image_key or '\\' in image_key:
                 return quart.Response(status=404)
 
             if not await self.ap.storage_mgr.storage_provider.exists(image_key):

src/langbot/pkg/api/http/controller/groups/knowledge/migration.py

@@ -1,372 +0,0 @@
-import asyncio
-import json
-
-import httpx
-import quart
-import sqlalchemy
-
-from ... import group
-from ......core import taskmgr
-from ......entity.persistence import metadata as persistence_metadata
-from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
-
-LANGRAG_PLUGIN_AUTHOR = 'langbot-team'
-LANGRAG_PLUGIN_NAME = 'LangRAG'
-LANGRAG_PLUGIN_ID = f'{LANGRAG_PLUGIN_AUTHOR}/{LANGRAG_PLUGIN_NAME}'
-DEFAULT_SPACE_URL = 'https://space.langbot.app'
-
-# Old Retriever plugin_name -> New Connector plugin_name
-EXTERNAL_PLUGIN_NAME_MAPPING = {
-    'DifyDatasetsRetriever': 'DifyDatasetsConnector',
-    'RAGFlowRetriever': 'RAGFlowConnector',
-    'FastGPTRetriever': 'FastGPTConnector',
-}
-
-# Per-plugin: which old retriever_config fields belong to creation_settings.
-# Remaining fields go to retrieval_settings.
-# None means ALL fields go to creation_settings (no retrieval_schema).
-EXTERNAL_PLUGIN_CREATION_FIELDS: dict[str, set[str] | None] = {
-    'langbot-team/DifyDatasetsConnector': {'api_base_url', 'dify_apikey', 'dataset_id'},
-    'langbot-team/RAGFlowConnector': {'api_base_url', 'api_key', 'dataset_ids'},
-    'langbot-team/FastGPTConnector': None,  # all fields -> creation_settings
-}
-
-
-@group.group_class('knowledge/migration', '/api/v1/knowledge/migration')
-class KnowledgeMigrationRouterGroup(group.RouterGroup):
-    async def _get_migration_flag(self) -> bool:
-        """Check if rag_plugin_migration_needed flag is set."""
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(persistence_metadata.Metadata).where(
-                persistence_metadata.Metadata.key == 'rag_plugin_migration_needed'
-            )
-        )
-        row = result.first()
-        return row is not None and row.value == 'true'
-
-    async def _set_migration_flag(self, value: str):
-        """Set rag_plugin_migration_needed flag."""
-        await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.update(persistence_metadata.Metadata)
-            .where(persistence_metadata.Metadata.key == 'rag_plugin_migration_needed')
-            .values(value=value)
-        )
-
-    async def _table_exists(self, table_name: str) -> bool:
-        """Check if a table exists."""
-        if self.ap.persistence_mgr.db.name == 'postgresql':
-            result = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text(
-                    'SELECT EXISTS (SELECT FROM information_schema.tables WHERE table_name = :table_name);'
-                ).bindparams(table_name=table_name)
-            )
-            return result.scalar()
-        else:
-            result = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text("SELECT name FROM sqlite_master WHERE type='table' AND name=:table_name;").bindparams(
-                    table_name=table_name
-                )
-            )
-            return result.first() is not None
-
-    async def _install_plugin_from_marketplace(
-        self, plugin_id: str, task_context: taskmgr.TaskContext, space_url: str
-    ) -> None:
-        """Install a single plugin from the marketplace."""
-        p_author, p_name = plugin_id.split('/', 1)
-        self.ap.logger.info(f'RAG migration: installing plugin {plugin_id} from marketplace...')
-        task_context.trace(f'Installing plugin {plugin_id} from marketplace...')
-
-        async with httpx.AsyncClient(trust_env=True, timeout=15) as client:
-            resp = await client.get(f'{space_url}/api/v1/marketplace/plugins/{p_author}/{p_name}')
-            resp.raise_for_status()
-            p_data = resp.json().get('data', {}).get('plugin', {})
-            p_version = p_data.get('latest_version')
-            if not p_version:
-                raise Exception(f'Could not determine latest version for {plugin_id}')
-
-        await self.ap.plugin_connector.install_plugin(
-            PluginInstallSource.MARKETPLACE,
-            {
-                'plugin_author': p_author,
-                'plugin_name': p_name,
-                'plugin_version': p_version,
-            },
-            task_context=task_context,
-        )
-        self.ap.logger.info(f'RAG migration: plugin {plugin_id} install request sent.')
-
-    async def _execute_rag_migration(self, task_context: taskmgr.TaskContext, install_plugin: bool = True):
-        """Execute RAG migration: install required plugins and restore backup data."""
-        warnings = []
-
-        # Collect all plugins we need: LangRAG (always) + connector plugins (from external KBs)
-        needed_plugins: dict[str, str] = {
-            LANGRAG_PLUGIN_ID: LANGRAG_PLUGIN_NAME,
-        }
-
-        has_external = await self._table_exists('external_knowledge_bases')
-        if has_external:
-            result = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text('SELECT DISTINCT plugin_author, plugin_name FROM external_knowledge_bases;')
-            )
-            for row in result.fetchall():
-                plugin_author = row[0] or ''
-                plugin_name = row[1] or ''
-                mapped_name = EXTERNAL_PLUGIN_NAME_MAPPING.get(plugin_name, plugin_name)
-                plugin_id = f'{plugin_author}/{mapped_name}'
-                if plugin_id not in needed_plugins:
-                    needed_plugins[plugin_id] = mapped_name
-
-        self.ap.logger.info(f'RAG migration: plugins needed: {list(needed_plugins.keys())}')
-
-        if install_plugin:
-            # Step 1: Install all required plugins from marketplace
-            task_context.trace('Installing required plugins...', action='install-plugin')
-            space_url = self.ap.instance_config.data.get('space', {}).get('url', DEFAULT_SPACE_URL).rstrip('/')
-
-            for plugin_id in needed_plugins:
-                try:
-                    await self._install_plugin_from_marketplace(plugin_id, task_context, space_url)
-                except Exception as e:
-                    self.ap.logger.warning(f'RAG migration: plugin {plugin_id} install returned: {e}')
-                    task_context.trace(f'Plugin install note ({plugin_id}): {e}')
-
-            # Step 2: Wait for all plugins to become available as knowledge engines
-            task_context.trace(
-                f'Waiting for plugins to become available: {list(needed_plugins.keys())}...',
-                action='wait-plugin',
-            )
-            max_retries = 30
-            engine_id_set: set[str] = set()
-            for i in range(max_retries):
-                try:
-                    engines = await self.ap.plugin_connector.list_knowledge_engines()
-                    engine_id_set = {e.get('plugin_id') for e in engines}
-                except Exception:
-                    pass
-                if all(pid in engine_id_set for pid in needed_plugins):
-                    self.ap.logger.info(f'RAG migration: all plugins ready: {engine_id_set}')
-                    task_context.trace('All required plugins are ready.')
-                    break
-                if i == max_retries - 1:
-                    still_missing = [pid for pid in needed_plugins if pid not in engine_id_set]
-                    warning = f'Plugin(s) {still_missing} did not become available after {max_retries} retries'
-                    self.ap.logger.warning(f'RAG migration: {warning}')
-                    warnings.append(warning)
-                    task_context.trace(warning)
-                await asyncio.sleep(2)
-        else:
-            try:
-                engines = await self.ap.plugin_connector.list_knowledge_engines()
-                engine_id_set = {e.get('plugin_id') for e in engines}
-            except Exception:
-                engine_id_set = set()
-
-        # Step 3: Restore internal knowledge bases from backup
-        task_context.trace('Restoring internal knowledge bases...', action='restore-internal')
-        if await self._table_exists('knowledge_bases_backup'):
-            result = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text('SELECT * FROM knowledge_bases_backup;')
-            )
-            rows = result.fetchall()
-            columns = result.keys()
-
-            for row in rows:
-                row_dict = dict(zip(columns, row))
-                kb_uuid = row_dict.get('uuid')
-                name = row_dict.get('name', 'Untitled')
-                description = row_dict.get('description', '')
-                emoji = row_dict.get('emoji', '\U0001f4da')
-                embedding_model_uuid = row_dict.get('embedding_model_uuid', '')
-                top_k = row_dict.get('top_k', 5)
-                created_at = row_dict.get('created_at')
-                updated_at = row_dict.get('updated_at')
-
-                creation_settings = json.dumps({'embedding_model_uuid': embedding_model_uuid})
-                retrieval_settings = json.dumps({'top_k': top_k})
-
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text(
-                        'INSERT INTO knowledge_bases '
-                        '(uuid, name, description, emoji, created_at, updated_at, '
-                        'knowledge_engine_plugin_id, collection_id, creation_settings, retrieval_settings) '
-                        'VALUES (:uuid, :name, :description, :emoji, :created_at, :updated_at, '
-                        ':plugin_id, :collection_id, :creation_settings, :retrieval_settings);'
-                    ).bindparams(
-                        uuid=kb_uuid,
-                        name=name,
-                        description=description,
-                        emoji=emoji,
-                        created_at=created_at,
-                        updated_at=updated_at,
-                        plugin_id=LANGRAG_PLUGIN_ID,
-                        collection_id=kb_uuid,
-                        creation_settings=creation_settings,
-                        retrieval_settings=retrieval_settings,
-                    )
-                )
-
-                try:
-                    config = {'embedding_model_uuid': embedding_model_uuid}
-                    await self.ap.plugin_connector.rag_on_kb_create(LANGRAG_PLUGIN_ID, kb_uuid, config)
-                    task_context.trace(f'Restored internal KB: {name} ({kb_uuid})')
-                except Exception as e:
-                    warning = f'Failed to notify plugin for KB {name} ({kb_uuid}): {e}'
-                    warnings.append(warning)
-                    task_context.trace(warning)
-
-            await self.ap.rag_mgr.load_knowledge_bases_from_db()
-
-        # Step 4: Restore external knowledge bases
-        task_context.trace('Restoring external knowledge bases...', action='restore-external')
-        if has_external:
-            result = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text('SELECT * FROM external_knowledge_bases;')
-            )
-            rows = result.fetchall()
-            columns = result.keys()
-
-            self.ap.logger.info(
-                f'RAG migration: {len(rows)} external KB(s) to restore. Available engines: {engine_id_set}'
-            )
-            task_context.trace(f'Found {len(rows)} external KB(s). Available engines: {engine_id_set}')
-
-            for row in rows:
-                row_dict = dict(zip(columns, row))
-                kb_uuid = row_dict.get('uuid')
-                name = row_dict.get('name', 'Untitled')
-                description = row_dict.get('description', '')
-                emoji = row_dict.get('emoji', '\U0001f517')
-                plugin_author = row_dict.get('plugin_author', '')
-                plugin_name = row_dict.get('plugin_name', '')
-                retriever_config = row_dict.get('retriever_config', {})
-                created_at = row_dict.get('created_at')
-
-                mapped_plugin_name = EXTERNAL_PLUGIN_NAME_MAPPING.get(plugin_name, plugin_name)
-                external_plugin_id = f'{plugin_author}/{mapped_plugin_name}'
-
-                self.ap.logger.info(
-                    f'RAG migration: processing external KB "{name}" ({kb_uuid}), '
-                    f'plugin: {plugin_author}/{plugin_name} -> {external_plugin_id}'
-                )
-
-                if isinstance(retriever_config, str):
-                    try:
-                        retriever_config = json.loads(retriever_config)
-                    except (json.JSONDecodeError, TypeError):
-                        retriever_config = {}
-
-                creation_fields = EXTERNAL_PLUGIN_CREATION_FIELDS.get(external_plugin_id)
-                if creation_fields is None:
-                    creation_settings_dict = retriever_config
-                    retrieval_settings_dict = {}
-                else:
-                    creation_settings_dict = {k: v for k, v in retriever_config.items() if k in creation_fields}
-                    retrieval_settings_dict = {k: v for k, v in retriever_config.items() if k not in creation_fields}
-
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text(
-                        'INSERT INTO knowledge_bases '
-                        '(uuid, name, description, emoji, created_at, updated_at, '
-                        'knowledge_engine_plugin_id, collection_id, creation_settings, retrieval_settings) '
-                        'VALUES (:uuid, :name, :description, :emoji, :created_at, :updated_at, '
-                        ':plugin_id, :collection_id, :creation_settings, :retrieval_settings);'
-                    ).bindparams(
-                        uuid=kb_uuid,
-                        name=name,
-                        description=description,
-                        emoji=emoji,
-                        created_at=created_at,
-                        updated_at=created_at,
-                        plugin_id=external_plugin_id,
-                        collection_id=kb_uuid,
-                        creation_settings=json.dumps(creation_settings_dict),
-                        retrieval_settings=json.dumps(retrieval_settings_dict),
-                    )
-                )
-
-                if external_plugin_id not in engine_id_set:
-                    warning = (
-                        f'External KB "{name}" ({kb_uuid}) record saved, but plugin {external_plugin_id} '
-                        f'is not installed yet. Install the connector plugin to use it.'
-                    )
-                    warnings.append(warning)
-                    task_context.trace(warning)
-                else:
-                    try:
-                        await self.ap.plugin_connector.rag_on_kb_create(
-                            external_plugin_id, kb_uuid, creation_settings_dict
-                        )
-                        task_context.trace(f'Restored external KB: {name} ({kb_uuid})')
-                    except Exception as e:
-                        warning = f'Failed to notify plugin for external KB {name} ({kb_uuid}): {e}'
-                        warnings.append(warning)
-                        task_context.trace(warning)
-
-            await self.ap.rag_mgr.load_knowledge_bases_from_db()
-
-        # Step 5: Clear migration flag
-        await self._set_migration_flag('false')
-        task_context.trace('RAG migration completed.', action='done')
-
-        if warnings:
-            task_context.trace(f'Completed with {len(warnings)} warning(s).')
-
-    async def initialize(self) -> None:
-        @self.route('/status', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
-        async def _() -> str:
-            needed = await self._get_migration_flag()
-
-            internal_kb_count = 0
-            external_kb_count = 0
-
-            if needed:
-                if await self._table_exists('knowledge_bases_backup'):
-                    result = await self.ap.persistence_mgr.execute_async(
-                        sqlalchemy.text('SELECT COUNT(*) FROM knowledge_bases_backup;')
-                    )
-                    internal_kb_count = result.scalar() or 0
-
-                if await self._table_exists('external_knowledge_bases'):
-                    result = await self.ap.persistence_mgr.execute_async(
-                        sqlalchemy.text('SELECT COUNT(*) FROM external_knowledge_bases;')
-                    )
-                    external_kb_count = result.scalar() or 0
-
-            return self.success(
-                data={
-                    'needed': needed,
-                    'internal_kb_count': internal_kb_count,
-                    'external_kb_count': external_kb_count,
-                }
-            )
-
-        @self.route('/execute', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
-        async def _() -> str:
-            needed = await self._get_migration_flag()
-            if not needed:
-                return self.http_status(400, -1, 'RAG migration is not needed')
-
-            data = await quart.request.get_json(silent=True) or {}
-            install_plugin = data.get('install_plugin', True)
-
-            ctx = taskmgr.TaskContext.new()
-            wrapper = self.ap.task_mgr.create_user_task(
-                self._execute_rag_migration(task_context=ctx, install_plugin=install_plugin),
-                kind='rag-migration',
-                name='rag-migration-execute',
-                label='Migrating knowledge bases to plugin architecture',
-                context=ctx,
-            )
-
-            return self.success(data={'task_id': wrapper.id})
-
-        @self.route('/dismiss', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
-        async def _() -> str:
-            needed = await self._get_migration_flag()
-            if not needed:
-                return self.http_status(400, -1, 'RAG migration is not needed')
-
-            await self._set_migration_flag('false')
-            return self.success()

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

@@ -70,17 +70,12 @@ class BotService:
             'lark',
         ]:
             webhook_prefix = self.ap.instance_config.data['api'].get('webhook_prefix', 'http://127.0.0.1:5300')
-            extra_webhook_prefix = self.ap.instance_config.data['api'].get('extra_webhook_prefix', '')
             webhook_url = f'/bots/{bot_uuid}'
             adapter_runtime_values['webhook_url'] = webhook_url
             adapter_runtime_values['webhook_full_url'] = f'{webhook_prefix}{webhook_url}'
-            adapter_runtime_values['extra_webhook_full_url'] = (
-                f'{extra_webhook_prefix}{webhook_url}' if extra_webhook_prefix else ''
-            )
         else:
             adapter_runtime_values['webhook_url'] = None
             adapter_runtime_values['webhook_full_url'] = None
-            adapter_runtime_values['extra_webhook_full_url'] = None
 
         persistence_bot['adapter_runtime_values'] = adapter_runtime_values
 

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

@@ -105,16 +105,11 @@ class LLMModelsService:
                 )
             )
             pipeline = result.first()
-            if pipeline is not None:
-                model_config = pipeline.config.get('ai', {}).get('local-agent', {}).get('model', {})
-                if not model_config.get('primary', ''):
-                    pipeline_config = pipeline.config
-                    pipeline_config['ai']['local-agent']['model'] = {
-                        'primary': model_data['uuid'],
-                        'fallbacks': [],
-                    }
-                    pipeline_data = {'config': pipeline_config}
-                    await self.ap.pipeline_service.update_pipeline(pipeline.uuid, pipeline_data)
+            if pipeline is not None and pipeline.config['ai']['local-agent']['model'] == '':
+                pipeline_config = pipeline.config
+                pipeline_config['ai']['local-agent']['model'] = model_data['uuid']
+                pipeline_data = {'config': pipeline_config}
+                await self.ap.pipeline_service.update_pipeline(pipeline.uuid, pipeline_data)
 
         return model_data['uuid']
 

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

@@ -30,7 +30,6 @@ class MonitoringService:
         level: str = 'info',
         platform: str | None = None,
         user_id: str | None = None,
-        user_name: str | None = None,
         runner_name: str | None = None,
         variables: str | None = None,
         role: str = 'user',
@@ -50,7 +49,6 @@ class MonitoringService:
             'level': level,
             'platform': platform,
             'user_id': user_id,
-            'user_name': user_name,
             'runner_name': runner_name,
             'variables': variables,
             'role': role,
@@ -154,7 +152,6 @@ class MonitoringService:
         pipeline_name: str,
         platform: str | None = None,
         user_id: str | None = None,
-        user_name: str | None = None,
     ) -> None:
         """Record a new session"""
         session_data = {
@@ -169,7 +166,6 @@ class MonitoringService:
             'is_active': True,
             'platform': platform,
             'user_id': user_id,
-            'user_name': user_name,
         }
 
         await self.ap.persistence_mgr.execute_async(

src/langbot/pkg/core/app.py

@@ -9,7 +9,6 @@ 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 langbot.pkg.provider.tools import toolmgr as llm_tool_mgr
 from ..config import manager as config_mgr
 from ..command import cmdmgr
@@ -31,7 +30,6 @@ 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 ..discover import engine as discover_engine
 from ..storage import mgr as storagemgr
 from ..utils import logcache

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

@@ -74,26 +74,20 @@ def _apply_env_overrides_to_config(cfg: dict) -> dict:
         current = cfg
 
         for i, key in enumerate(keys):
-            if not isinstance(current, dict):
+            if not isinstance(current, dict) or key not in current:
                 break
 
             if i == len(keys) - 1:
-                # At the final key
-                if key in current:
-                    if isinstance(current[key], (dict, list)):
-                        # Skip dict and list types
-                        pass
-                    else:
-                        # Valid scalar value - convert and set it
-                        converted_value = convert_value(env_value, current[key])
-                        current[key] = converted_value
+                # At the final key - check if it's a scalar value
+                if isinstance(current[key], (dict, list)):
+                    # Skip dict and list types
+                    pass
                 else:
-                    # Key doesn't exist yet - create it as string
-                    current[key] = env_value
+                    # Valid scalar value - convert and set it
+                    converted_value = convert_value(env_value, current[key])
+                    current[key] = converted_value
             else:
-                # Navigate deeper - create intermediate dict if needed
-                if key not in current:
-                    current[key] = {}
+                # Navigate deeper
                 current = current[key]
 
     return cfg
@@ -152,50 +146,16 @@ class LoadConfigStage(stage.BootingStage):
         await ap.instance_config.dump_config()
 
         # load or generate instance id
-        # Priority:
-        # 1. system.instance_id from config.yaml (can be set via SYSTEM__INSTANCE_ID env var)
-        # 2. data/labels/instance_id.json (if file exists)
-        # 3. Generate new and save to file
-        config_instance_id = ap.instance_config.data.get('system', {}).get('instance_id', '')
+        ap.instance_id = await config.load_json_config(
+            'data/labels/instance_id.json',
+            template_data={
+                'instance_id': f'instance_{str(uuid.uuid4())}',
+                'instance_create_ts': int(time.time()),
+            },
+            completion=False,
+        )
 
-        if config_instance_id:
-            # Use the instance_id from config.yaml
-            constants.instance_id = config_instance_id
-            # Still load/create the file for backward compat, but don't use its value
-            ap.instance_id = await config.load_json_config(
-                'data/labels/instance_id.json',
-                template_data={
-                    'instance_id': f'instance_{str(uuid.uuid4())}',
-                    'instance_create_ts': int(time.time()),
-                },
-                completion=False,
-            )
-        else:
-            # Try loading file-based instance id
-            instance_id_path = os.path.join('data', 'labels', 'instance_id.json')
-            if os.path.exists(instance_id_path):
-                # File exists, read it
-                ap.instance_id = await config.load_json_config(
-                    'data/labels/instance_id.json',
-                    template_data={
-                        'instance_id': '',
-                        'instance_create_ts': 0,
-                    },
-                    completion=False,
-                )
-                constants.instance_id = ap.instance_id.data['instance_id']
-            else:
-                # Neither config nor file, generate new and save to file
-                new_id = f'instance_{str(uuid.uuid4())}'
-                ap.instance_id = await config.load_json_config(
-                    'data/labels/instance_id.json',
-                    template_data={
-                        'instance_id': new_id,
-                        'instance_create_ts': int(time.time()),
-                    },
-                    completion=False,
-                )
-                constants.instance_id = new_id
+        constants.instance_id = ap.instance_id.data['instance_id']
         constants.edition = ap.instance_config.data.get('system', {}).get('edition', 'community')
 
         print(f'LangBot instance id: {constants.instance_id}')

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

@@ -20,7 +20,6 @@ class MonitoringMessage(Base):
     level = sqlalchemy.Column(sqlalchemy.String(50), nullable=False)  # info, warning, error, debug
     platform = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
     user_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
-    user_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)  # User display name
     runner_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)  # Runner name for this query
     variables = sqlalchemy.Column(sqlalchemy.Text, nullable=True)  # Query variables as JSON string
     role = sqlalchemy.Column(sqlalchemy.String(50), nullable=True, default='user')  # user, assistant
@@ -65,7 +64,6 @@ class MonitoringSession(Base):
     is_active = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=True, index=True)
     platform = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
     user_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
-    user_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)  # User display name
 
 
 class MonitoringError(Base):

src/langbot/pkg/persistence/migrations/dbm020_knowledge_engine_plugin_architecture.py

@@ -1,3 +1,5 @@
+import json
+
 import sqlalchemy
 from .. import migration
 
@@ -7,22 +9,20 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
     """Migrate to unified Knowledge Engine plugin architecture.
 
     Changes:
-    - Backup existing knowledge_bases data to knowledge_bases_backup
-    - Clear knowledge_bases table and add new plugin architecture columns
-    - Drop old columns (PostgreSQL only; SQLite leaves them unmapped)
-    - Preserve external_knowledge_bases table as-is for future migration
-    - Set rag_plugin_migration_needed flag in metadata if old data exists
+    - Add knowledge_engine_plugin_id, collection_id, creation_settings, retrieval_settings columns to knowledge_bases
+    - Migrate existing top_k values into retrieval_settings JSON
+    - Migrate existing embedding_model_uuid into creation_settings JSON
+    - Drop embedding_model_uuid and top_k columns (PostgreSQL only; SQLite leaves them unmapped)
+    - Drop external_knowledge_bases table (no longer needed; external KB data is not migrated)
     """
 
     async def upgrade(self):
         """Upgrade"""
-        has_internal_data = await self._backup_knowledge_bases()
-        has_external_data = await self._check_external_knowledge_bases()
-        await self._clear_knowledge_bases()
         await self._add_columns_to_knowledge_bases()
+        await self._migrate_top_k_to_retrieval_settings()
+        await self._migrate_embedding_model_uuid_to_creation_settings()
         await self._drop_old_columns()
-        if has_internal_data or has_external_data:
-            await self._set_migration_flag()
+        await self._drop_external_knowledge_bases_table()
 
     async def _get_table_columns(self, table_name: str) -> list[str]:
         """Get column names from a table (works for both SQLite and PostgreSQL)."""
@@ -57,50 +57,6 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
             )
             return result.first() is not None
 
-    async def _backup_knowledge_bases(self) -> bool:
-        """Backup knowledge_bases data. Returns True if data was backed up."""
-        result = await self.ap.persistence_mgr.execute_async(sqlalchemy.text('SELECT COUNT(*) FROM knowledge_bases;'))
-        count = result.scalar()
-        if count == 0:
-            return False
-
-        # Drop backup table if it already exists (from a previous failed migration)
-        if await self._table_exists('knowledge_bases_backup'):
-            await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE knowledge_bases_backup;'))
-
-        await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text('CREATE TABLE knowledge_bases_backup AS SELECT * FROM knowledge_bases;')
-        )
-        self.ap.logger.info(
-            'Backed up %d knowledge base(s) to knowledge_bases_backup table.',
-            count,
-        )
-        return True
-
-    async def _check_external_knowledge_bases(self) -> bool:
-        """Check if external_knowledge_bases table exists and has data.
-
-        The table is preserved as-is (not dropped) for future migration.
-        """
-        if not await self._table_exists('external_knowledge_bases'):
-            return False
-
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text('SELECT COUNT(*) FROM external_knowledge_bases;')
-        )
-        count = result.scalar()
-        if count > 0:
-            self.ap.logger.info(
-                'Found %d external knowledge base(s) in external_knowledge_bases table. '
-                'Table preserved for future migration.',
-                count,
-            )
-        return count > 0
-
-    async def _clear_knowledge_bases(self):
-        """Clear all rows from knowledge_bases table (preserve table structure)."""
-        await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DELETE FROM knowledge_bases;'))
-
     async def _add_columns_to_knowledge_bases(self):
         """Add new RAG plugin architecture columns to knowledge_bases table."""
         columns = await self._get_table_columns('knowledge_bases')
@@ -118,6 +74,73 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
                     sqlalchemy.text(f'ALTER TABLE knowledge_bases ADD COLUMN {col_name} {col_type};')
                 )
 
+        # For existing knowledge bases without knowledge_engine_plugin_id,
+        # set collection_id = uuid (same default as new KBs)
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text('UPDATE knowledge_bases SET collection_id = uuid WHERE collection_id IS NULL;')
+        )
+
+    async def _migrate_top_k_to_retrieval_settings(self):
+        """Migrate existing top_k values into retrieval_settings JSON."""
+        columns = await self._get_table_columns('knowledge_bases')
+        if 'top_k' not in columns:
+            return
+
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text(
+                'SELECT uuid, top_k FROM knowledge_bases WHERE top_k IS NOT NULL AND retrieval_settings IS NULL;'
+            )
+        )
+        rows = result.fetchall()
+
+        for row in rows:
+            kb_uuid = row[0]
+            top_k = row[1]
+            retrieval_settings = json.dumps({'top_k': top_k})
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text('UPDATE knowledge_bases SET retrieval_settings = :rs WHERE uuid = :uuid;').bindparams(
+                    rs=retrieval_settings, uuid=kb_uuid
+                )
+            )
+
+    async def _migrate_embedding_model_uuid_to_creation_settings(self):
+        """Migrate existing embedding_model_uuid into creation_settings JSON."""
+        columns = await self._get_table_columns('knowledge_bases')
+        if 'embedding_model_uuid' not in columns:
+            return
+
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text(
+                'SELECT uuid, embedding_model_uuid, creation_settings FROM knowledge_bases '
+                "WHERE embedding_model_uuid IS NOT NULL AND embedding_model_uuid != '';"
+            )
+        )
+        rows = result.fetchall()
+
+        for row in rows:
+            kb_uuid = row[0]
+            emb_uuid = row[1]
+            existing_settings = row[2]
+
+            if existing_settings and isinstance(existing_settings, str):
+                try:
+                    settings = json.loads(existing_settings)
+                except (json.JSONDecodeError, TypeError):
+                    settings = {}
+            elif isinstance(existing_settings, dict):
+                settings = existing_settings
+            else:
+                settings = {}
+
+            if 'embedding_model_uuid' not in settings:
+                settings['embedding_model_uuid'] = emb_uuid
+                new_settings = json.dumps(settings)
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'UPDATE knowledge_bases SET creation_settings = :cs WHERE uuid = :uuid;'
+                    ).bindparams(cs=new_settings, uuid=kb_uuid)
+                )
+
     async def _drop_old_columns(self):
         """Drop embedding_model_uuid and top_k columns (PostgreSQL only).
 
@@ -139,22 +162,22 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
                 sqlalchemy.text('ALTER TABLE knowledge_bases DROP COLUMN top_k;')
             )
 
-    async def _set_migration_flag(self):
-        """Set rag_plugin_migration_needed flag in metadata table."""
-        # Check if the key already exists
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text("SELECT value FROM metadata WHERE key = 'rag_plugin_migration_needed';")
-        )
-        row = result.first()
-        if row is not None:
-            await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text("UPDATE metadata SET value = 'true' WHERE key = 'rag_plugin_migration_needed';")
+    async def _drop_external_knowledge_bases_table(self):
+        """Drop the external_knowledge_bases table if it exists."""
+        if await self._table_exists('external_knowledge_bases'):
+            # Log existing external KBs before dropping, so users are aware of data loss
+            rows = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text('SELECT * FROM external_knowledge_bases;')
             )
-        else:
-            await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text("INSERT INTO metadata (key, value) VALUES ('rag_plugin_migration_needed', 'true');")
-            )
-        self.ap.logger.info('Set rag_plugin_migration_needed=true in metadata.')
+            existing = rows.fetchall()
+            if existing:
+                self.ap.logger.warning(
+                    'Dropping external_knowledge_bases table with %d existing record(s). '
+                    'These external KB configurations will be removed: %s',
+                    len(existing),
+                    [dict(row._mapping) for row in existing],
+                )
+            await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE external_knowledge_bases;'))
 
     async def downgrade(self):
         """Downgrade"""

src/langbot/pkg/persistence/migrations/dbm021_merge_exception_handling.py

@@ -1,74 +0,0 @@
-from .. import migration
-
-import sqlalchemy
-import json
-
-
-@migration.migration_class(21)
-class DBMigrateMergeExceptionHandling(migration.DBMigration):
-    """Merge hide-exception and block-failed-request-output into a single exception-handling select option,
-    and add failure-hint field.
-
-    Conversion logic:
-    - block-failed-request-output=true  ->  exception-handling: hide
-    - hide-exception=true               ->  exception-handling: show-hint
-    - hide-exception=false              ->  exception-handling: show-error
-    """
-
-    async def upgrade(self):
-        """Upgrade"""
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
-        )
-        pipelines = result.fetchall()
-
-        current_version = self.ap.ver_mgr.get_current_version()
-
-        for pipeline_row in pipelines:
-            uuid = pipeline_row[0]
-            config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
-
-            if 'output' not in config:
-                config['output'] = {}
-            if 'misc' not in config['output']:
-                config['output']['misc'] = {}
-
-            misc = config['output']['misc']
-
-            # Determine new exception-handling value from legacy fields
-            hide_exception = misc.get('hide-exception', True)
-            block_failed = misc.get('block-failed-request-output', False)
-
-            if block_failed:
-                exception_handling = 'hide'
-            elif hide_exception:
-                exception_handling = 'show-hint'
-            else:
-                exception_handling = 'show-error'
-
-            misc['exception-handling'] = exception_handling
-
-            # Add failure-hint with default value
-            misc['failure-hint'] = 'Request failed.'
-
-            # Remove legacy fields
-            misc.pop('hide-exception', None)
-
-            if self.ap.persistence_mgr.db.name == 'postgresql':
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text(
-                        'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
-                    ),
-                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
-                )
-            else:
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text(
-                        'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
-                    ),
-                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
-                )
-
-    async def downgrade(self):
-        """Downgrade"""
-        pass

src/langbot/pkg/persistence/migrations/dbm022_monitoring_user_name.py

@@ -1,73 +0,0 @@
-import sqlalchemy
-from .. import migration
-
-
-@migration.migration_class(22)
-class DBMigrateMonitoringUserId(migration.DBMigration):
-    """Add user_id and user_name columns to monitoring_sessions table
-
-    This migration adds the missing user_id column and also ensures user_name
-    column exists (in case migration 21 failed or was skipped).
-    """
-
-    async def _table_exists(self, table_name: str) -> bool:
-        """Check if a table exists (works for both SQLite and PostgreSQL)."""
-        if self.ap.persistence_mgr.db.name == 'postgresql':
-            result = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text(
-                    'SELECT EXISTS (SELECT FROM information_schema.tables WHERE table_name = :table_name);'
-                ).bindparams(table_name=table_name)
-            )
-            return bool(result.scalar())
-        else:
-            result = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text("SELECT name FROM sqlite_master WHERE type='table' AND name=:table_name;").bindparams(
-                    table_name=table_name
-                )
-            )
-            return result.first() is not None
-
-    async def _get_table_columns(self, table_name: str) -> list[str]:
-        """Get column names from a table (works for both SQLite and PostgreSQL)."""
-        if self.ap.persistence_mgr.db.name == 'postgresql':
-            result = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text(
-                    'SELECT column_name FROM information_schema.columns WHERE table_name = :table_name;'
-                ).bindparams(table_name=table_name)
-            )
-            return [row[0] for row in result.fetchall()]
-        else:
-            if not table_name.isidentifier():
-                raise ValueError(f'Invalid table name: {table_name}')
-            result = await self.ap.persistence_mgr.execute_async(sqlalchemy.text(f'PRAGMA table_info({table_name});'))
-            return [row[1] for row in result.fetchall()]
-
-    async def _add_column_if_not_exists(self, table_name: str, column_name: str, column_type: str):
-        """Add a column to a table if it does not already exist."""
-        columns = await self._get_table_columns(table_name)
-        if column_name in columns:
-            self.ap.logger.debug('%s column already exists in %s.', column_name, table_name)
-            return
-        await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text(f'ALTER TABLE {table_name} ADD COLUMN {column_name} {column_type};')
-        )
-        self.ap.logger.info('Added %s column to %s table.', column_name, table_name)
-
-    async def upgrade(self):
-        # Check if monitoring_sessions table exists
-        if not await self._table_exists('monitoring_sessions'):
-            self.ap.logger.warning('monitoring_sessions table does not exist, skipping migration.')
-            return
-
-        # Add user_id column to monitoring_sessions table
-        await self._add_column_if_not_exists('monitoring_sessions', 'user_id', 'VARCHAR(255)')
-
-        # Add user_name column to monitoring_sessions table (in case migration 21 failed)
-        await self._add_column_if_not_exists('monitoring_sessions', 'user_name', 'VARCHAR(255)')
-
-        # Add user_name column to monitoring_messages table (in case migration 21 failed)
-        if await self._table_exists('monitoring_messages'):
-            await self._add_column_if_not_exists('monitoring_messages', 'user_name', 'VARCHAR(255)')
-
-    async def downgrade(self):
-        pass

src/langbot/pkg/persistence/migrations/dbm023_model_fallback_config.py

@@ -1,102 +0,0 @@
-from .. import migration
-
-import sqlalchemy
-import json
-
-
-@migration.migration_class(23)
-class DBMigrateModelFallbackConfig(migration.DBMigration):
-    """Convert model field from plain UUID string to object with primary/fallbacks"""
-
-    async def upgrade(self):
-        """Upgrade"""
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
-        )
-        pipelines = result.fetchall()
-
-        current_version = self.ap.ver_mgr.get_current_version()
-
-        for pipeline_row in pipelines:
-            uuid = pipeline_row[0]
-            config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
-
-            if 'ai' not in config or 'local-agent' not in config['ai']:
-                continue
-
-            local_agent = config['ai']['local-agent']
-            changed = False
-
-            # Convert model from string to object
-            model_value = local_agent.get('model', '')
-            if isinstance(model_value, str):
-                local_agent['model'] = {
-                    'primary': model_value,
-                    'fallbacks': [],
-                }
-                changed = True
-
-            # Remove leftover fallback-models field if present
-            if 'fallback-models' in local_agent:
-                del local_agent['fallback-models']
-                changed = True
-
-            if not changed:
-                continue
-
-            # Update using raw SQL with compatibility for both SQLite and PostgreSQL
-            if self.ap.persistence_mgr.db.name == 'postgresql':
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text(
-                        'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
-                    ),
-                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
-                )
-            else:
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text(
-                        'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
-                    ),
-                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
-                )
-
-    async def downgrade(self):
-        """Downgrade"""
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
-        )
-        pipelines = result.fetchall()
-
-        current_version = self.ap.ver_mgr.get_current_version()
-
-        for pipeline_row in pipelines:
-            uuid = pipeline_row[0]
-            config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
-
-            if 'ai' not in config or 'local-agent' not in config['ai']:
-                continue
-
-            local_agent = config['ai']['local-agent']
-
-            # Convert model from object back to string
-            model_value = local_agent.get('model', '')
-            if isinstance(model_value, dict):
-                local_agent['model'] = model_value.get('primary', '')
-            else:
-                continue
-
-            # Update using raw SQL with compatibility for both SQLite and PostgreSQL
-            if self.ap.persistence_mgr.db.name == 'postgresql':
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text(
-                        'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
-                    ),
-                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
-                )
-            else:
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text(
-                        'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
-                    ),
-                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
-                )

src/langbot/pkg/persistence/migrations/dbm024_wecombot_websocket_mode.py

@@ -1,49 +0,0 @@
-from .. import migration
-
-import sqlalchemy
-import json
-
-
-@migration.migration_class(24)
-class DBMigrateWecomBotWebSocketMode(migration.DBMigration):
-    """Add enable-webhook field to existing wecombot adapter configs.
-
-    Existing wecombot bots were all using webhook mode, so we set
-    enable-webhook=true to preserve their behavior after the new
-    WebSocket long connection mode is introduced as default.
-    """
-
-    async def upgrade(self):
-        """Upgrade"""
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text("SELECT uuid, adapter_config FROM bots WHERE adapter = 'wecombot'")
-        )
-        bots = result.fetchall()
-
-        for bot_row in bots:
-            bot_uuid = bot_row[0]
-            adapter_config = json.loads(bot_row[1]) if isinstance(bot_row[1], str) else bot_row[1]
-
-            if 'enable-webhook' in adapter_config:
-                continue
-
-            # Determine mode based on existing config: if webhook fields are present, keep webhook mode
-            has_webhook_config = bool(
-                adapter_config.get('Token') and adapter_config.get('EncodingAESKey') and adapter_config.get('Corpid')
-            )
-            adapter_config['enable-webhook'] = has_webhook_config
-
-            if self.ap.persistence_mgr.db.name == 'postgresql':
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text('UPDATE bots SET adapter_config = :config::jsonb WHERE uuid = :uuid'),
-                    {'config': json.dumps(adapter_config), 'uuid': bot_uuid},
-                )
-            else:
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text('UPDATE bots SET adapter_config = :config WHERE uuid = :uuid'),
-                    {'config': json.dumps(adapter_config), 'uuid': bot_uuid},
-                )
-
-    async def downgrade(self):
-        """Downgrade"""
-        pass

src/langbot/pkg/pipeline/config_coercion.py

@@ -1,105 +0,0 @@
-from __future__ import annotations
-
-import logging
-
-logger = logging.getLogger(__name__)
-
-# metadata type -> coercion function
-_COERCE_MAP = {
-    'integer': lambda v: int(v),
-    'number': lambda v: float(v),
-    'float': lambda v: float(v),
-}
-
-
-def _coerce_bool(v):
-    if isinstance(v, bool):
-        return v
-    if isinstance(v, str):
-        if v.lower() == 'true':
-            return True
-        if v.lower() == 'false':
-            return False
-        raise ValueError(f'Cannot convert string {v!r} to bool')
-    return bool(v)
-
-
-def _coerce_value(value, expected_type: str):
-    """Convert a single value to the expected type.
-
-    Returns the converted value, or the original value if no conversion needed.
-    """
-    if value is None:
-        return value
-
-    if expected_type == 'boolean':
-        if isinstance(value, bool):
-            return value
-        return _coerce_bool(value)
-
-    coerce_fn = _COERCE_MAP.get(expected_type)
-    if coerce_fn is None:
-        return value
-
-    # Already the correct type
-    if expected_type == 'integer' and isinstance(value, int) and not isinstance(value, bool):
-        return value
-    if expected_type in ('number', 'float') and isinstance(value, (int, float)) and not isinstance(value, bool):
-        return float(value)
-
-    return coerce_fn(value)
-
-
-def coerce_pipeline_config(
-    config: dict,
-    *metadata_list: dict,
-) -> None:
-    """Coerce pipeline config values according to metadata type definitions.
-
-    Walks each metadata dict (trigger, safety, ai, output) and converts
-    config values in-place so that strings coming from the JSON column are
-    cast to their declared types (integer, number/float, boolean).
-
-    Args:
-        config: The pipeline config dict to modify in-place.
-        *metadata_list: Metadata dicts loaded from the YAML templates.
-    """
-    for meta in metadata_list:
-        section_name = meta.get('name')
-        if not section_name or section_name not in config:
-            continue
-
-        section = config[section_name]
-        if not isinstance(section, dict):
-            continue
-
-        for stage_def in meta.get('stages', []):
-            stage_name = stage_def.get('name')
-            if not stage_name or stage_name not in section:
-                continue
-
-            stage_config = section[stage_name]
-            if not isinstance(stage_config, dict):
-                continue
-
-            for field_def in stage_def.get('config', []):
-                field_name = field_def.get('name')
-                field_type = field_def.get('type')
-                if not field_name or not field_type or field_name not in stage_config:
-                    continue
-
-                old_value = stage_config[field_name]
-                try:
-                    new_value = _coerce_value(old_value, field_type)
-                    if new_value is not old_value:
-                        stage_config[field_name] = new_value
-                except (ValueError, TypeError) as e:
-                    logger.warning(
-                        'Failed to coerce config %s.%s.%s (%r) to %s: %s',
-                        section_name,
-                        stage_name,
-                        field_name,
-                        old_value,
-                        field_type,
-                        e,
-                    )

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

@@ -22,10 +22,13 @@ class LongTextProcessStage(stage.PipelineStage):
     """
 
     strategy_impl: strategy.LongTextStrategy | None
+    is_split: bool
 
     async def initialize(self, pipeline_config: dict):
         config = pipeline_config['output']['long-text-processing']
 
+        self.is_split = config['strategy'] == 'split'
+
         if config['strategy'] == 'none':
             self.strategy_impl = None
             return
@@ -90,8 +93,23 @@ class LongTextProcessStage(stage.PipelineStage):
             len(str(query.resp_message_chain[-1]))
             > query.pipeline_config['output']['long-text-processing']['threshold']
         ):
-            query.resp_message_chain[-1] = platform_message.MessageChain(
-                await self.strategy_impl.process(str(query.resp_message_chain[-1]), query)
-            )
+            if self.is_split:
+                original_text = str(query.resp_message_chain[-1])
+                threshold = query.pipeline_config['output']['long-text-processing']['threshold']
+                segments = self.strategy_impl.split_text(original_text, threshold)
+                # Replace the last chain with the first segment, store extra segments separately
+                # to avoid interfering with existing multi-chain scenarios (e.g. agent tool calls)
+                query.resp_message_chain[-1] = platform_message.MessageChain(
+                    [platform_message.Plain(text=segments[0])]
+                )
+                if len(segments) > 1:
+                    query.set_variable(
+                        '_longtext_split_extra_chains',
+                        [platform_message.MessageChain([platform_message.Plain(text=seg)]) for seg in segments[1:]],
+                    )
+            else:
+                query.resp_message_chain[-1] = platform_message.MessageChain(
+                    await self.strategy_impl.process(str(query.resp_message_chain[-1]), query)
+                )
 
         return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)

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

@@ -0,0 +1,224 @@
+from __future__ import annotations
+
+import re
+
+from .. import strategy as strategy_model
+
+import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+
+
+@strategy_model.strategy_class('split')
+class SplitStrategy(strategy_model.LongTextStrategy):
+    """Split long text into multiple message segments with Markdown awareness."""
+
+    async def process(self, message: str, query: pipeline_query.Query) -> list[platform_message.MessageComponent]:
+        segments = self.split_text(
+            message,
+            query.pipeline_config['output']['long-text-processing']['threshold'],
+        )
+        return [platform_message.Plain(text=segments[0])] if segments else []
+
+    def split_text(self, text: str, max_length: int) -> list[str]:
+        """Split text into segments respecting Markdown structure.
+
+        Priority:
+            1. Markdown structural boundaries (headings, code blocks, horizontal rules)
+            2. Paragraph breaks (blank lines)
+            3. List item boundaries
+            4. Line breaks
+            5. Hard cut (fallback)
+        """
+        if len(text) <= max_length:
+            return [text]
+
+        blocks = self._parse_markdown_blocks(text)
+        return self._merge_blocks(blocks, max_length)
+
+    def _parse_markdown_blocks(self, text: str) -> list[str]:
+        """Parse text into Markdown-aware blocks.
+
+        Keeps code blocks intact and splits the rest by structural elements.
+        """
+        blocks: list[str] = []
+        lines = text.split('\n')
+        current_block: list[str] = []
+        in_code_block = False
+
+        for line in lines:
+            stripped = line.strip()
+
+            # Toggle fenced code block state
+            if stripped.startswith('```'):
+                if in_code_block:
+                    # End of code block - close it as one block
+                    current_block.append(line)
+                    blocks.append('\n'.join(current_block))
+                    current_block = []
+                    in_code_block = False
+                    continue
+                else:
+                    # Start of code block - flush current block first
+                    if current_block:
+                        blocks.append('\n'.join(current_block))
+                        current_block = []
+                    current_block.append(line)
+                    in_code_block = True
+                    continue
+
+            if in_code_block:
+                current_block.append(line)
+                continue
+
+            # Heading (# ...) - start a new block
+            if re.match(r'^#{1,6}\s', stripped):
+                if current_block:
+                    blocks.append('\n'.join(current_block))
+                    current_block = []
+                current_block.append(line)
+                continue
+
+            # Horizontal rule (---, ***, ___) - start a new block
+            if re.match(r'^(-{3,}|\*{3,}|_{3,})\s*$', stripped):
+                if current_block:
+                    blocks.append('\n'.join(current_block))
+                    current_block = []
+                blocks.append(line)
+                continue
+
+            # Blank line - paragraph boundary
+            if stripped == '':
+                if current_block:
+                    current_block.append(line)
+                    blocks.append('\n'.join(current_block))
+                    current_block = []
+                continue
+
+            current_block.append(line)
+
+        # Flush remaining (including unclosed code blocks)
+        if current_block:
+            blocks.append('\n'.join(current_block))
+
+        return [b for b in blocks if b.strip()]
+
+    def _merge_blocks(self, blocks: list[str], max_length: int) -> list[str]:
+        """Merge small blocks greedily until approaching max_length.
+
+        If a single block exceeds max_length, split it by lines as fallback.
+        """
+        segments: list[str] = []
+        current = ''
+
+        for block in blocks:
+            candidate = (current + '\n\n' + block) if current else block
+
+            if len(candidate) <= max_length:
+                current = candidate
+            else:
+                # Flush current segment
+                if current:
+                    segments.append(current)
+
+                # Check if this single block fits
+                if len(block) <= max_length:
+                    current = block
+                else:
+                    # Block too large - split it by lines
+                    for part in self._split_large_block(block, max_length):
+                        segments.append(part)
+                    current = ''
+
+        if current:
+            segments.append(current)
+
+        return [s for s in segments if s.strip()]
+
+    def _split_large_block(self, block: str, max_length: int) -> list[str]:
+        """Split an oversized block by lines, preserving code block fences.
+
+        For single-line plain text (no newlines), falls back to splitting at
+        natural language boundaries (spaces, punctuation).
+        """
+        lines = block.split('\n')
+
+        # Single long line with no newlines - use plain text splitting
+        if len(lines) == 1:
+            return self._split_plain_text(block, max_length)
+
+        is_code_block = lines[0].strip().startswith('```')
+
+        segments: list[str] = []
+        current_lines: list[str] = []
+        current_len = 0
+
+        # For code blocks, track the opening fence to re-apply on continuations
+        code_fence = lines[0] if is_code_block else ''
+
+        for i, line in enumerate(lines):
+            line_len = len(line) + 1  # +1 for newline
+
+            # Single line exceeds limit on its own - split it first
+            if line_len > max_length:
+                if current_lines:
+                    seg = '\n'.join(current_lines)
+                    if is_code_block and not seg.rstrip().endswith('```'):
+                        seg += '\n```'
+                    segments.append(seg)
+                    current_lines = []
+                    current_len = 0
+
+                for part in self._split_plain_text(line, max_length):
+                    segments.append(part)
+                continue
+
+            if current_len + line_len > max_length and current_lines:
+                segment = '\n'.join(current_lines)
+                # Close code block fence if splitting mid-code-block
+                if is_code_block and not segment.rstrip().endswith('```'):
+                    segment += '\n```'
+                segments.append(segment)
+
+                current_lines = []
+                current_len = 0
+                # Re-open code block fence for continuation
+                if is_code_block and i < len(lines) - 1 and not line.strip().startswith('```'):
+                    current_lines.append(code_fence)
+                    current_len = len(code_fence) + 1
+
+            current_lines.append(line)
+            current_len += line_len
+
+        if current_lines:
+            segments.append('\n'.join(current_lines))
+
+        return segments
+
+    def _split_plain_text(self, text: str, max_length: int) -> list[str]:
+        """Split a long plain text string (no newlines) at word/space boundaries."""
+        if len(text) <= max_length:
+            return [text]
+
+        segments: list[str] = []
+        remaining = text
+
+        while remaining:
+            if len(remaining) <= max_length:
+                segments.append(remaining)
+                break
+
+            chunk = remaining[:max_length]
+            min_pos = int(max_length * 0.3)
+
+            # Try to find a space to split at
+            pos = chunk.rfind(' ')
+            if pos >= min_pos:
+                split_pos = pos
+            else:
+                # Hard cut as last resort
+                split_pos = max_length
+
+            segments.append(remaining[:split_pos].rstrip())
+            remaining = remaining[split_pos:].lstrip()
+
+        return [s for s in segments if s]

src/langbot/pkg/pipeline/monitoring_helper.py

@@ -34,15 +34,6 @@ class MonitoringHelper:
             # Check if session exists, if not, record session start
             session_id = f'{query.launcher_type}_{query.launcher_id}'
 
-            # Get sender name from message event
-            sender_name = None
-            if hasattr(query, 'message_event'):
-                if hasattr(query.message_event, 'sender'):
-                    if hasattr(query.message_event.sender, 'nickname'):
-                        sender_name = query.message_event.sender.nickname
-                    elif hasattr(query.message_event.sender, 'member_name'):
-                        sender_name = query.message_event.sender.member_name
-
             # Try to record message
             # Use JSON serialization to preserve message chain structure (including image URLs, etc.)
             if hasattr(query, 'message_chain') and hasattr(query.message_chain, 'model_dump'):
@@ -66,7 +57,6 @@ class MonitoringHelper:
                 if hasattr(query.launcher_type, 'value')
                 else str(query.launcher_type),
                 user_id=query.sender_id,
-                user_name=sender_name,
                 runner_name=runner_name,
                 variables=None,  # Will be updated in record_query_success
             )
@@ -90,7 +80,6 @@ class MonitoringHelper:
                     if hasattr(query.launcher_type, 'value')
                     else str(query.launcher_type),
                     user_id=query.sender_id,
-                    user_name=sender_name,
                 )
 
             return message_id
@@ -139,15 +128,6 @@ class MonitoringHelper:
         try:
             session_id = f'{query.launcher_type}_{query.launcher_id}'
 
-            # Get sender name from message event
-            sender_name = None
-            if hasattr(query, 'message_event'):
-                if hasattr(query.message_event, 'sender'):
-                    if hasattr(query.message_event.sender, 'nickname'):
-                        sender_name = query.message_event.sender.nickname
-                    elif hasattr(query.message_event.sender, 'member_name'):
-                        sender_name = query.message_event.sender.member_name
-
             # Extract response content from resp_message_chain
             if hasattr(query, 'resp_message_chain') and query.resp_message_chain:
                 # Serialize the last response message chain
@@ -182,7 +162,6 @@ class MonitoringHelper:
                 if hasattr(query.launcher_type, 'value')
                 else str(query.launcher_type),
                 user_id=query.sender_id,
-                user_name=sender_name,
                 runner_name=runner_name,
                 role='assistant',
             )
@@ -204,15 +183,6 @@ class MonitoringHelper:
         try:
             session_id = f'{query.launcher_type}_{query.launcher_id}'
 
-            # Get sender name from message event
-            sender_name = None
-            if hasattr(query, 'message_event'):
-                if hasattr(query.message_event, 'sender'):
-                    if hasattr(query.message_event.sender, 'nickname'):
-                        sender_name = query.message_event.sender.nickname
-                    elif hasattr(query.message_event.sender, 'member_name'):
-                        sender_name = query.message_event.sender.member_name
-
             # Record error message
             message_id = await ap.monitoring_service.record_message(
                 bot_id=bot_id,
@@ -227,7 +197,6 @@ class MonitoringHelper:
                 if hasattr(query.launcher_type, 'value')
                 else str(query.launcher_type),
                 user_id=query.sender_id,
-                user_name=sender_name,
                 runner_name=runner_name,
             )
 

src/langbot/pkg/pipeline/pipelinemgr.py

@@ -13,7 +13,6 @@ import langbot_plugin.api.entities.builtin.platform.message as platform_message
 import langbot_plugin.api.entities.builtin.platform.events as platform_events
 import langbot_plugin.api.entities.events as events
 from ..utils import importutil
-from .config_coercion import coerce_pipeline_config
 
 import langbot_plugin.api.entities.builtin.provider.session as provider_session
 import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
@@ -421,14 +420,6 @@ class PipelineManager:
         elif isinstance(pipeline_entity, dict):
             pipeline_entity = persistence_pipeline.LegacyPipeline(**pipeline_entity)
 
-        coerce_pipeline_config(
-            pipeline_entity.config,
-            getattr(self.ap, 'pipeline_config_meta_trigger', {'name': 'trigger', 'stages': []}),
-            getattr(self.ap, 'pipeline_config_meta_safety', {'name': 'safety', 'stages': []}),
-            getattr(self.ap, 'pipeline_config_meta_ai', {'name': 'ai', 'stages': []}),
-            getattr(self.ap, 'pipeline_config_meta_output', {'name': 'output', 'stages': []}),
-        )
-
         # initialize stage containers according to pipeline_entity.stages
         stage_containers: list[StageInstContainer] = []
         for stage_name in pipeline_entity.stages:

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

@@ -36,36 +36,17 @@ class PreProcessor(stage.PipelineStage):
         session = await self.ap.sess_mgr.get_session(query)
 
         # When not local-agent, llm_model is None
-        llm_model = None
-        if selected_runner == 'local-agent':
-            # Read model config — new format is { primary: str, fallbacks: [str] },
-            # but handle legacy plain string for backward compatibility
-            model_config = query.pipeline_config['ai']['local-agent'].get('model', {})
-            if isinstance(model_config, str):
-                # Legacy format: plain UUID string
-                primary_uuid = model_config
-                fallback_uuids = []
-            else:
-                primary_uuid = model_config.get('primary', '')
-                fallback_uuids = model_config.get('fallbacks', [])
-
-            if primary_uuid:
-                try:
-                    llm_model = await self.ap.model_mgr.get_model_by_uuid(primary_uuid)
-                except ValueError:
-                    self.ap.logger.warning(f'LLM model {primary_uuid} not found or not configured')
-
-            # Resolve fallback model UUIDs
-            if fallback_uuids:
-                valid_fallbacks = []
-                for fb_uuid in fallback_uuids:
-                    try:
-                        await self.ap.model_mgr.get_model_by_uuid(fb_uuid)
-                        valid_fallbacks.append(fb_uuid)
-                    except ValueError:
-                        self.ap.logger.warning(f'Fallback model {fb_uuid} not found, skipping')
-                if valid_fallbacks:
-                    query.variables['_fallback_model_uuids'] = valid_fallbacks
+        try:
+            llm_model = (
+                await self.ap.model_mgr.get_model_by_uuid(query.pipeline_config['ai']['local-agent']['model'])
+                if selected_runner == 'local-agent'
+                else None
+            )
+        except ValueError:
+            self.ap.logger.warning(
+                f'LLM model {query.pipeline_config["ai"]["local-agent"]["model"] + " "}not found or not configured'
+            )
+            llm_model = None
 
         conversation = await self.ap.sess_mgr.get_conversation(
             query,
@@ -80,28 +61,20 @@ class PreProcessor(stage.PipelineStage):
         query.prompt = conversation.prompt.copy()
         query.messages = conversation.messages.copy()
 
-        if selected_runner == 'local-agent':
+        if selected_runner == 'local-agent' and llm_model:
             query.use_funcs = []
-            if llm_model:
-                query.use_llm_model_uuid = llm_model.model_entity.uuid
+            query.use_llm_model_uuid = llm_model.model_entity.uuid
 
-                if llm_model.model_entity.abilities.__contains__('func_call'):
-                    # 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)
-
-                    self.ap.logger.debug(f'Bound plugins: {bound_plugins}')
-                    self.ap.logger.debug(f'Bound MCP servers: {bound_mcp_servers}')
-                    self.ap.logger.debug(f'Use funcs: {query.use_funcs}')
-
-            # If primary model doesn't support func_call but fallback models exist,
-            # load tools anyway since fallback models may support them
-            if not query.use_funcs and query.variables.get('_fallback_model_uuids'):
+            if llm_model.model_entity.abilities.__contains__('func_call'):
+                # 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)
 
+                self.ap.logger.debug(f'Bound plugins: {bound_plugins}')
+                self.ap.logger.debug(f'Bound MCP servers: {bound_mcp_servers}')
+                self.ap.logger.debug(f'Use funcs: {query.use_funcs}')
+
         sender_name = ''
 
         if isinstance(query.message_event, platform_events.GroupMessage):
@@ -176,16 +149,6 @@ class PreProcessor(stage.PipelineStage):
         query.variables['user_message_text'] = plain_text
 
         query.user_message = provider_message.Message(role='user', content=content_list)
-
-        # Extract knowledge base UUIDs into query variables so plugins can modify them
-        # during PromptPreProcessing before the runner performs retrieval.
-        kb_uuids = query.pipeline_config['ai']['local-agent'].get('knowledge-bases', [])
-        if not kb_uuids:
-            old_kb_uuid = query.pipeline_config['ai']['local-agent'].get('knowledge-base', '')
-            if old_kb_uuid and old_kb_uuid != '__none__':
-                kb_uuids = [old_kb_uuid]
-        query.variables['_knowledge_base_uuids'] = list(kb_uuids)
-
         # =========== 触发事件 PromptPreProcessing
 
         event = events.PromptPreProcessing(

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

@@ -149,19 +149,12 @@ class ChatMessageHandler(handler.MessageHandler):
                 self.ap.logger.error(f'Conversation({query.query_id}) Request Failed: {error_info}')
                 traceback.print_exc()
 
-                exception_handling = query.pipeline_config['output']['misc'].get('exception-handling', 'show-hint')
-
-                if exception_handling == 'show-error':
-                    user_notice = f'{e}'
-                elif exception_handling == 'show-hint':
-                    user_notice = query.pipeline_config['output']['misc'].get('failure-hint', 'Request failed.')
-                else:  # hide
-                    user_notice = None
+                hide_exception_info = query.pipeline_config['output']['misc']['hide-exception']
 
                 yield entities.StageProcessResult(
                     result_type=entities.ResultType.INTERRUPT,
                     new_query=query,
-                    user_notice=user_notice,
+                    user_notice='请求失败' if hide_exception_info else f'{e}',
                     error_notice=f'{e}',
                     debug_notice=traceback.format_exc(),
                 )

src/langbot/pkg/pipeline/respback/respback.py

@@ -55,4 +55,15 @@ class SendResponseBackStage(stage.PipelineStage):
                 quote_origin=quote_origin,
             )
 
+        # Send extra chains produced by long text split strategy
+        extra_chains = query.get_variable('_longtext_split_extra_chains')
+        if extra_chains:
+            for chain in extra_chains:
+                await query.adapter.reply_message(
+                    message_source=query.message_event,
+                    message=chain,
+                    quote_origin=False,
+                )
+            query.set_variable('_longtext_split_extra_chains', None)
+
         return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)

src/langbot/pkg/platform/botmgr.py

@@ -282,8 +282,6 @@ class PlatformManager:
         return runtime_bot
 
     async def get_bot_by_uuid(self, bot_uuid: str) -> RuntimeBot | None:
-        if self.websocket_proxy_bot and self.websocket_proxy_bot.bot_entity.uuid == bot_uuid:
-            return self.websocket_proxy_bot
         for bot in self.bots:
             if bot.bot_entity.uuid == bot_uuid:
                 return bot

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

@@ -575,127 +575,6 @@ class LarkMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
 
 
 class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
-    _processed_thread_quote_cache: typing.ClassVar[dict[str, float]] = {}
-    _processed_thread_quote_cache_max_size: typing.ClassVar[int] = 4096
-    _processed_thread_quote_cache_ttl_seconds: typing.ClassVar[int] = 86400
-
-    @classmethod
-    def _prune_processed_thread_quote_cache(cls, now: typing.Optional[float] = None) -> None:
-        if now is None:
-            now = time.time()
-
-        expire_before = now - cls._processed_thread_quote_cache_ttl_seconds
-        while cls._processed_thread_quote_cache:
-            oldest_key, oldest_ts = next(iter(cls._processed_thread_quote_cache.items()))
-            if oldest_ts >= expire_before:
-                break
-            cls._processed_thread_quote_cache.pop(oldest_key, None)
-
-        while len(cls._processed_thread_quote_cache) > cls._processed_thread_quote_cache_max_size:
-            oldest_key = next(iter(cls._processed_thread_quote_cache))
-            cls._processed_thread_quote_cache.pop(oldest_key, None)
-
-    @classmethod
-    def _mark_thread_quote_processed(cls, thread_id: str) -> None:
-        now = time.time()
-        cls._prune_processed_thread_quote_cache(now)
-        cls._processed_thread_quote_cache[thread_id] = now
-
-    @classmethod
-    def _extract_quote_message_id(cls, message: EventMessage) -> typing.Optional[str]:
-        """
-        Extract the message ID to quote from the given message.
-
-        Rules:
-        - First thread reply in a topic: return parent_id and mark topic as processed
-        - Follow-up thread replies in the same topic: return None
-        - Non-thread message: return parent_id if valid (non-empty, different from message_id)
-
-        Thread reply state is kept in a bounded TTL cache to avoid unbounded memory growth.
-        """
-        parent_id = getattr(message, 'parent_id', None)
-        if not parent_id:
-            return None
-
-        message_id = getattr(message, 'message_id', None)
-        if parent_id == message_id:
-            return None
-
-        thread_id = getattr(message, 'thread_id', None)
-        if thread_id:
-            cls._prune_processed_thread_quote_cache()
-            if thread_id in cls._processed_thread_quote_cache:
-                return None
-            cls._mark_thread_quote_processed(thread_id)
-
-        return parent_id
-
-    @staticmethod
-    def _build_event_message_from_message_item(message_item: Message) -> typing.Optional[EventMessage]:
-        """
-        Build EventMessage from SDK typed Message item.
-
-        Returns None if body or content is missing.
-        """
-        body = getattr(message_item, 'body', None)
-        if not body:
-            return None
-
-        content = getattr(body, 'content', None)
-        if not content:
-            return None
-
-        event_data = {
-            'message_id': message_item.message_id,
-            'message_type': message_item.msg_type,
-            'content': content,
-            'create_time': message_item.create_time,
-            'mentions': getattr(message_item, 'mentions', []) or [],
-        }
-
-        # Preserve thread-related fields
-        if hasattr(message_item, 'parent_id') and message_item.parent_id:
-            event_data['parent_id'] = message_item.parent_id
-        if hasattr(message_item, 'root_id') and message_item.root_id:
-            event_data['root_id'] = message_item.root_id
-        if hasattr(message_item, 'thread_id') and message_item.thread_id:
-            event_data['thread_id'] = message_item.thread_id
-        if hasattr(message_item, 'chat_id') and message_item.chat_id:
-            event_data['chat_id'] = message_item.chat_id
-
-        return EventMessage(event_data)
-
-    @staticmethod
-    async def _fetch_quoted_message(
-        quote_message_id: str,
-        api_client: lark_oapi.Client,
-    ) -> typing.Optional[platform_message.MessageChain]:
-        """
-        Fetch the quoted message and convert to MessageChain.
-
-        Returns None if:
-        - API call fails
-        - Response items is empty
-        - Message item normalization fails
-        """
-        request = GetMessageRequest.builder().message_id(quote_message_id).build()
-        response = await api_client.im.v1.message.aget(request)
-
-        if not response.success():
-            return None
-
-        items = getattr(response.data, 'items', None)
-        if not items:
-            return None
-
-        message_item = items[0]
-        event_message = LarkEventConverter._build_event_message_from_message_item(message_item)
-        if event_message is None:
-            return None
-
-        quote_chain = await LarkMessageConverter.target2yiri(event_message, api_client)
-        return quote_chain
-
     @staticmethod
     async def yiri2target(
         event: platform_events.MessageEvent,
@@ -708,23 +587,6 @@ class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
     ) -> platform_events.Event:
         message_chain = await LarkMessageConverter.target2yiri(event.event.message, api_client)
 
-        # Check for quote/reply message
-        quote_message_id = LarkEventConverter._extract_quote_message_id(event.event.message)
-        if quote_message_id:
-            quote_chain = await LarkEventConverter._fetch_quoted_message(quote_message_id, api_client)
-            if quote_chain:
-                # Filter out Source component from quoted chain, keep only content
-                quote_origin = platform_message.MessageChain(
-                    [comp for comp in quote_chain if not isinstance(comp, platform_message.Source)]
-                )
-                if quote_origin:
-                    message_chain.append(
-                        platform_message.Quote(
-                            message_id=quote_message_id,
-                            origin=quote_origin,
-                        )
-                    )
-
         if event.event.message.chat_type == 'p2p':
             return platform_events.FriendMessage(
                 sender=platform_entities.Friend(
@@ -908,32 +770,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             self.request_tenant_access_token(tenant_key)
         return self.tenant_access_tokens.get(tenant_key)['token'] if self.tenant_access_tokens.get(tenant_key) else None
 
-    def get_launcher_id(self, event: platform_events.MessageEvent) -> str | None:
-        """
-        Get topic-scoped launcher_id for thread-aware session isolation.
-
-        For group thread messages, returns "{group_id}_{thread_id}"
-        to ensure conversation context stays stable per topic.
-
-        Returns None for non-thread messages or P2P messages.
-        """
-        source_event = getattr(event.source_platform_object, 'event', None)
-        if not source_event:
-            return None
-
-        message = getattr(source_event, 'message', None)
-        if not message:
-            return None
-
-        thread_id = getattr(message, 'thread_id', None)
-        if not thread_id:
-            return None
-
-        if isinstance(event, platform_events.GroupMessage):
-            return f'{event.group.id}_{thread_id}'
-
-        return None
-
     def build_api_client(self, config):
         app_id = config['app_id']
         app_secret = config['app_secret']

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

@@ -1,577 +0,0 @@
-"""OpenClaw WeChat adapter for LangBot.
-
-Uses the OpenClaw WeChat HTTP JSON API (long-poll getUpdates + sendMessage)
-to integrate personal WeChat accounts with LangBot.
-
-Reference: https://github.com/epiral/weixin-bot
-"""
-
-from __future__ import annotations
-
-import asyncio
-import base64
-import traceback
-import typing
-
-import pydantic
-import sqlalchemy
-
-from langbot.libs.openclaw_weixin_api.client import (
-    DEFAULT_BASE_URL,
-    SESSION_EXPIRED_ERRCODE,
-    OpenClawWeixinClient,
-)
-from langbot.libs.openclaw_weixin_api.types import (
-    MessageItem,
-    WeixinMessage,
-)
-from langbot.pkg.entity.persistence import bot as persistence_bot
-
-import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
-import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
-import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
-import langbot_plugin.api.entities.builtin.platform.events as platform_events
-import langbot_plugin.api.entities.builtin.platform.message as platform_message
-
-
-class OpenClawWeixinMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
-    """Converts between LangBot MessageChain and OpenClaw WeChat message items."""
-
-    @staticmethod
-    async def yiri2target(message_chain: platform_message.MessageChain) -> list[dict]:
-        """Convert LangBot MessageChain to a list of OpenClaw message item dicts."""
-        items = []
-        for component in message_chain:
-            if isinstance(component, platform_message.Plain):
-                items.append({'type': MessageItem.TEXT, 'text_item': {'text': component.text}})
-            elif isinstance(component, platform_message.Image):
-                # OpenClaw WeChat only supports text messages without CDN upload.
-                # For images, we send a placeholder text with the URL if available.
-                if component.url:
-                    items.append(
-                        {
-                            'type': MessageItem.TEXT,
-                            'text_item': {'text': f'[Image: {component.url}]'},
-                        }
-                    )
-                elif component.base64:
-                    items.append(
-                        {
-                            'type': MessageItem.TEXT,
-                            'text_item': {'text': '[Image]'},
-                        }
-                    )
-            elif isinstance(component, platform_message.File):
-                if component.name:
-                    items.append(
-                        {
-                            'type': MessageItem.TEXT,
-                            'text_item': {'text': f'[File: {component.name}]'},
-                        }
-                    )
-            elif isinstance(component, platform_message.Forward):
-                for node in component.node_list:
-                    if node.message_chain:
-                        items.extend(await OpenClawWeixinMessageConverter.yiri2target(node.message_chain))
-        return items
-
-    @staticmethod
-    async def target2yiri(
-        msg: WeixinMessage,
-    ) -> platform_message.MessageChain:
-        """Convert an OpenClaw WeixinMessage to LangBot MessageChain."""
-        components: list[platform_message.MessageComponent] = []
-
-        if not msg.item_list:
-            return platform_message.MessageChain(components)
-
-        for item in msg.item_list:
-            if item.type == MessageItem.TEXT and item.text_item and item.text_item.text:
-                text = item.text_item.text
-
-                # Handle quoted messages
-                if item.ref_msg:
-                    ref_parts = []
-                    if item.ref_msg.title:
-                        ref_parts.append(item.ref_msg.title)
-                    if item.ref_msg.message_item:
-                        ref_item = item.ref_msg.message_item
-                        if ref_item.text_item and ref_item.text_item.text:
-                            ref_parts.append(ref_item.text_item.text)
-                    if ref_parts:
-                        components.append(
-                            platform_message.Quote(
-                                sender_id='',
-                                origin=platform_message.MessageChain(
-                                    [platform_message.Plain(text=' | '.join(ref_parts))]
-                                ),
-                            )
-                        )
-
-                components.append(platform_message.Plain(text=text))
-
-            elif item.type == MessageItem.IMAGE and item.image_item:
-                if hasattr(item.image_item, '_downloaded_bytes') and item.image_item._downloaded_bytes:
-                    b64 = base64.b64encode(item.image_item._downloaded_bytes).decode('utf-8')
-                    components.append(platform_message.Image(base64=f'data:image/jpeg;base64,{b64}'))
-                else:
-                    components.append(platform_message.Unknown(text='[Image]'))
-
-            elif item.type == MessageItem.VOICE and item.voice_item:
-                # Voice with speech-to-text: use the transcribed text
-                if item.voice_item.text:
-                    components.append(platform_message.Plain(text=item.voice_item.text))
-                else:
-                    components.append(platform_message.Unknown(text='[Voice]'))
-
-            # TODO: enable after full testing
-            # elif item.type == MessageItem.VOICE and item.voice_item:
-            #     if item.voice_item.text:
-            #         components.append(platform_message.Plain(text=item.voice_item.text))
-            #     elif hasattr(item.voice_item, '_downloaded_bytes') and item.voice_item._downloaded_bytes:
-            #         b64 = base64.b64encode(item.voice_item._downloaded_bytes).decode('utf-8')
-            #         components.append(
-            #             platform_message.Voice(
-            #                 base64=b64,
-            #                 length=item.voice_item.playtime or 0,
-            #             )
-            #         )
-            #     else:
-            #         components.append(
-            #             platform_message.Voice(
-            #                 length=item.voice_item.playtime or 0,
-            #             )
-            #         )
-
-            elif item.type == MessageItem.FILE and item.file_item:
-                components.append(platform_message.Unknown(text=f'[File: {item.file_item.file_name or ""}]'))
-
-            # TODO: enable after full testing
-            # elif item.type == MessageItem.FILE and item.file_item:
-            #     file_name = item.file_item.file_name or ''
-            #     file_size = int(item.file_item.len) if item.file_item.len else 0
-            #     if hasattr(item.file_item, '_downloaded_bytes') and item.file_item._downloaded_bytes:
-            #         b64 = base64.b64encode(item.file_item._downloaded_bytes).decode('utf-8')
-            #         components.append(
-            #             platform_message.File(
-            #                 name=file_name,
-            #                 size=file_size,
-            #                 base64=b64,
-            #             )
-            #         )
-            #     else:
-            #         components.append(
-            #             platform_message.File(
-            #                 name=file_name,
-            #                 size=file_size,
-            #             )
-            #         )
-
-            elif item.type == MessageItem.VIDEO and item.video_item:
-                components.append(platform_message.Unknown(text='[Video]'))
-
-            # TODO: enable after full testing
-            # elif item.type == MessageItem.VIDEO and item.video_item:
-            #     if hasattr(item.video_item, '_downloaded_bytes') and item.video_item._downloaded_bytes:
-            #         b64 = base64.b64encode(item.video_item._downloaded_bytes).decode('utf-8')
-            #         components.append(
-            #             platform_message.File(
-            #                 name='video.mp4',
-            #                 size=item.video_item.video_size or 0,
-            #                 base64=b64,
-            #             )
-            #         )
-            #     else:
-            #         components.append(
-            #             platform_message.File(
-            #                 name='video.mp4',
-            #                 size=item.video_item.video_size or 0,
-            #             )
-            #         )
-
-            else:
-                components.append(platform_message.Unknown(text='[Unknown message type]'))
-
-        return platform_message.MessageChain(components)
-
-
-class OpenClawWeixinEventConverter(abstract_platform_adapter.AbstractEventConverter):
-    """Converts OpenClaw WeChat messages to LangBot events."""
-
-    @staticmethod
-    async def yiri2target(event: platform_events.MessageEvent) -> dict:
-        return event.source_platform_object
-
-    @staticmethod
-    async def target2yiri(msg: WeixinMessage) -> typing.Optional[platform_events.MessageEvent]:
-        """Convert an inbound WeixinMessage to a LangBot event."""
-        if msg.message_type != WeixinMessage.TYPE_USER:
-            return None
-
-        from_user_id = msg.from_user_id or ''
-        if not from_user_id:
-            return None
-
-        message_chain = await OpenClawWeixinMessageConverter.target2yiri(msg)
-        if not message_chain:
-            return None
-
-        timestamp = (msg.create_time_ms or 0) / 1000.0
-
-        return platform_events.FriendMessage(
-            sender=platform_entities.Friend(
-                id=from_user_id,
-                nickname=from_user_id,
-                remark='',
-            ),
-            message_chain=message_chain,
-            time=timestamp,
-            source_platform_object=msg,
-        )
-
-
-class OpenClawWeixinAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
-    """LangBot adapter for OpenClaw WeChat (long-poll based)."""
-
-    name: str = 'openclaw-weixin'
-
-    client: OpenClawWeixinClient = pydantic.Field(exclude=True)
-
-    config: dict
-
-    message_converter: OpenClawWeixinMessageConverter = OpenClawWeixinMessageConverter()
-    event_converter: OpenClawWeixinEventConverter = OpenClawWeixinEventConverter()
-
-    # context_token cache: from_user_id -> context_token
-    _context_tokens: dict[str, str] = pydantic.PrivateAttr(default_factory=dict)
-
-    _polling: bool = pydantic.PrivateAttr(default=False)
-    _poll_task: typing.Optional[asyncio.Task] = pydantic.PrivateAttr(default=None)
-    _bot_uuid: typing.Optional[str] = pydantic.PrivateAttr(default=None)
-
-    listeners: typing.Dict[
-        typing.Type[platform_events.Event],
-        typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
-    ] = {}
-
-    def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
-        client = OpenClawWeixinClient(
-            base_url=config.get('base_url', DEFAULT_BASE_URL),
-            token=config.get('token', ''),
-        )
-        super().__init__(
-            config=config,
-            logger=logger,
-            client=client,
-            bot_account_id='',
-            listeners={},
-            name='openclaw-weixin',
-        )
-
-    def set_bot_uuid(self, bot_uuid: str):
-        """Called by BotManager to provide the bot's UUID for config persistence."""
-        self._bot_uuid = bot_uuid
-
-    async def _persist_config(self) -> None:
-        """Persist current self.config to the database so token survives restart."""
-        if not self._bot_uuid:
-            return
-        try:
-            ap = self.logger.ap
-            await ap.persistence_mgr.execute_async(
-                sqlalchemy.update(persistence_bot.Bot)
-                .where(persistence_bot.Bot.uuid == self._bot_uuid)
-                .values(adapter_config=self.config)
-            )
-        except Exception as e:
-            await self.logger.warning(f'Failed to persist adapter config: {e}')
-
-    async def _do_login(self) -> None:
-        """Run the QR code login flow via client.login() and update config."""
-        adapter_logger = self.logger
-
-        async def _on_qrcode(qr_base64: str, _qr_url: str):
-            await adapter_logger.info(
-                f'Please scan the QR code to login WeChat: {_qr_url}',
-                images=[platform_message.Image(base64=qr_base64)],
-            )
-
-        login_result = await self.client.login(
-            on_qrcode=_on_qrcode,
-        )
-
-        # client.login() already updates client.token and client.base_url
-        self.config['token'] = login_result.token
-        self.config['base_url'] = login_result.base_url
-        if login_result.account_id:
-            self.config['account_id'] = login_result.account_id
-
-        await self.logger.info(f'WeChat login successful! account_id={login_result.account_id}')
-
-        # Persist token to database so it survives restart
-        await self._persist_config()
-
-    async def send_message(
-        self,
-        target_type: str,
-        target_id: str,
-        message: platform_message.MessageChain,
-    ):
-        """Send a message to a user."""
-        context_token = self._context_tokens.get(target_id, '')
-
-        for component in message:
-            try:
-                if isinstance(component, platform_message.Plain):
-                    if component.text:
-                        await self.client.send_text(target_id, component.text, context_token)
-
-                elif isinstance(component, platform_message.Image):
-                    img_bytes, _ = await component.get_bytes()
-                    await self.client.send_image(target_id, img_bytes, context_token)
-
-                elif isinstance(component, platform_message.File):
-                    file_bytes = await self._get_component_bytes(component)
-                    if file_bytes:
-                        await self.client.send_file(target_id, file_bytes, component.name or 'file', context_token)
-
-                elif isinstance(component, platform_message.Voice):
-                    voice_bytes = await self._get_component_bytes(component)
-                    if voice_bytes:
-                        await self.client.send_voice(target_id, voice_bytes, component.length or 0, context_token)
-
-                elif isinstance(component, platform_message.Forward):
-                    for node in component.node_list:
-                        if node.message_chain:
-                            await self.send_message(target_type, target_id, node.message_chain)
-
-            except Exception:
-                await self.logger.error(
-                    f'Failed to send component {type(component).__name__}: {traceback.format_exc()}'
-                )
-
-    async def reply_message(
-        self,
-        message_source: platform_events.MessageEvent,
-        message: platform_message.MessageChain,
-        quote_origin: bool = False,
-    ):
-        """Reply to a received message."""
-        source_msg = message_source.source_platform_object
-        if isinstance(source_msg, WeixinMessage):
-            target_id = source_msg.from_user_id or ''
-            if target_id:
-                await self.send_message('friend', target_id, message)
-
-    async def is_muted(self, group_id: int) -> bool:
-        return False
-
-    @staticmethod
-    async def _get_component_bytes(component: platform_message.MessageComponent) -> typing.Optional[bytes]:
-        """Extract raw bytes from a File or Voice component."""
-        b64_val = getattr(component, 'base64', None)
-        url_val = getattr(component, 'url', None)
-        path_val = getattr(component, 'path', None)
-
-        if b64_val:
-            return base64.b64decode(b64_val)
-        elif url_val and url_val.startswith(('http://', 'https://')):
-            import aiohttp
-
-            async with aiohttp.ClientSession() as session:
-                async with session.get(url_val) as resp:
-                    if resp.status == 200:
-                        return await resp.read()
-        elif path_val:
-            import asyncio
-
-            with open(path_val, 'rb') as f:
-                return await asyncio.to_thread(f.read)
-        return None
-
-    def register_listener(
-        self,
-        event_type: typing.Type[platform_events.Event],
-        callback: typing.Callable[
-            [platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter],
-            None,
-        ],
-    ):
-        self.listeners[event_type] = callback
-
-    def unregister_listener(
-        self,
-        event_type: typing.Type[platform_events.Event],
-        callback: typing.Callable[
-            [platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter],
-            None,
-        ],
-    ):
-        self.listeners.pop(event_type, None)
-
-    async def run_async(self):
-        """Start the adapter. If no token is configured, trigger QR code login first."""
-        base_url = self.config.get('base_url', DEFAULT_BASE_URL)
-        token = self.config.get('token', '')
-
-        await self.logger.info('OpenClaw WeChat adapter starting...')
-
-        # QR code login flow when no token is provided
-        if not token:
-            await self.logger.info('No token configured, starting QR code login...')
-            try:
-                await self._do_login()
-            except Exception as e:
-                await self.logger.error(f'QR code login failed: {e}')
-                raise
-
-        # Rebuild client with the (possibly updated) config
-        self.client = OpenClawWeixinClient(
-            base_url=self.config.get('base_url', base_url),
-            token=self.config.get('token', token),
-        )
-        self.bot_account_id = self.config.get('account_id', 'openclaw-weixin')
-        self._polling = True
-
-        # Start the long-poll loop
-        self._poll_task = asyncio.create_task(self._poll_loop())
-        await self.logger.info('OpenClaw WeChat adapter running')
-
-        try:
-            await self._poll_task
-        except asyncio.CancelledError:
-            pass
-
-    async def _poll_loop(self):
-        """Long-poll loop: call getUpdates continuously.
-
-        Error handling follows the weixin-bot SDK pattern:
-        - Exponential backoff (1s -> 10s max) on failures
-        - Session expired (errcode -14) triggers automatic re-login
-        """
-        get_updates_buf = ''
-        poll_timeout = float(self.config.get('poll_timeout', 35))
-
-        backoff_delay = 1.0
-        max_backoff = 10.0
-
-        while self._polling:
-            try:
-                resp = await self.client.get_updates(
-                    get_updates_buf=get_updates_buf,
-                    timeout=poll_timeout + 5,
-                )
-
-                if resp.longpolling_timeout_ms and resp.longpolling_timeout_ms > 0:
-                    poll_timeout = resp.longpolling_timeout_ms / 1000.0
-
-                is_api_error = (resp.ret is not None and resp.ret != 0) or (
-                    resp.errcode is not None and resp.errcode != 0
-                )
-                if is_api_error:
-                    is_session_expired = resp.errcode == SESSION_EXPIRED_ERRCODE or resp.ret == SESSION_EXPIRED_ERRCODE
-
-                    if is_session_expired:
-                        await self.logger.error('OpenClaw WeChat session expired, attempting re-login...')
-                        try:
-                            await self._do_login()
-                            # Rebuild client with new credentials
-                            self.client = OpenClawWeixinClient(
-                                base_url=self.config.get('base_url', DEFAULT_BASE_URL),
-                                token=self.config.get('token', ''),
-                            )
-                            self._context_tokens.clear()
-                            get_updates_buf = ''
-                            backoff_delay = 1.0
-                            continue
-                        except Exception:
-                            await self.logger.error(f'Re-login failed: {traceback.format_exc()}')
-                            break
-
-                    await self.logger.error(
-                        f'OpenClaw getUpdates failed: ret={resp.ret} errcode={resp.errcode} errmsg={resp.errmsg}'
-                    )
-                    await asyncio.sleep(backoff_delay)
-                    backoff_delay = min(backoff_delay * 2, max_backoff)
-                    continue
-
-                backoff_delay = 1.0
-
-                if resp.get_updates_buf:
-                    get_updates_buf = resp.get_updates_buf
-
-                for msg in resp.msgs:
-                    try:
-                        await self._handle_inbound_message(msg)
-                    except Exception:
-                        await self.logger.error(f'Error handling message: {traceback.format_exc()}')
-
-            except asyncio.CancelledError:
-                break
-            except Exception:
-                await self.logger.error(f'OpenClaw poll error: {traceback.format_exc()}')
-                await asyncio.sleep(backoff_delay)
-                backoff_delay = min(backoff_delay * 2, max_backoff)
-
-    async def _handle_inbound_message(self, msg: WeixinMessage):
-        """Process a single inbound message from getUpdates."""
-        if msg.context_token and msg.from_user_id:
-            self._context_tokens[msg.from_user_id] = msg.context_token
-
-        # Download CDN media (files, images) before converting to LangBot events
-        await self._download_media_items(msg)
-
-        event = await OpenClawWeixinEventConverter.target2yiri(msg)
-        if event is None:
-            return
-
-        if type(event) in self.listeners:
-            await self.listeners[type(event)](event, self)
-
-    async def _download_media_items(self, msg: WeixinMessage):
-        """Download CDN media for image items in the message."""
-        if not msg.item_list:
-            return
-
-        for item in msg.item_list:
-            try:
-                if item.type == MessageItem.IMAGE and item.image_item:
-                    if (
-                        item.image_item.media
-                        and item.image_item.media.encrypt_query_param
-                        and item.image_item.media.aes_key
-                    ):
-                        img_bytes = await self.client.download_media(item.image_item.media)
-                        item.image_item._downloaded_bytes = img_bytes
-
-                # TODO: enable after full testing
-                # elif item.type == MessageItem.FILE and item.file_item and item.file_item.media:
-                #     if item.file_item.media.encrypt_query_param and item.file_item.media.aes_key:
-                #         file_bytes = await self.client.download_media(item.file_item.media)
-                #         item.file_item._downloaded_bytes = file_bytes
-                #
-                # elif item.type == MessageItem.VOICE and item.voice_item and item.voice_item.media:
-                #     if item.voice_item.media.encrypt_query_param and item.voice_item.media.aes_key:
-                #         voice_bytes = await self.client.download_media(item.voice_item.media)
-                #         item.voice_item._downloaded_bytes = voice_bytes
-                #
-                # elif item.type == MessageItem.VIDEO and item.video_item and item.video_item.media:
-                #     if item.video_item.media.encrypt_query_param and item.video_item.media.aes_key:
-                #         video_bytes = await self.client.download_media(item.video_item.media)
-                #         item.video_item._downloaded_bytes = video_bytes
-
-            except Exception:
-                await self.logger.warning(f'Failed to download CDN media: {traceback.format_exc()}')
-
-    async def kill(self) -> bool:
-        """Stop the adapter."""
-        self._polling = False
-        if self._poll_task and not self._poll_task.done():
-            self._poll_task.cancel()
-            try:
-                await self._poll_task
-            except asyncio.CancelledError:
-                pass
-        await self.client.close()
-        await self.logger.info('OpenClaw WeChat adapter stopped')
-        return True

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

@@ -1,57 +0,0 @@
-apiVersion: v1
-kind: MessagePlatformAdapter
-metadata:
-  name: openclaw-weixin
-  label:
-    en_US: OpenClaw WeChat
-    zh_Hans: OpenClaw 微信
-  description:
-    en_US: OpenClaw WeChat adapter, supports personal WeChat via QR code login
-    zh_Hans: OpenClaw 微信适配器，通过扫码登录支持个人微信
-  icon: wechat.png
-spec:
-  config:
-    - name: base_url
-      label:
-        en_US: API Base URL
-        zh_Hans: API 基础地址
-      description:
-        en_US: The base URL of the OpenClaw WeChat backend API
-        zh_Hans: OpenClaw 微信后端 API 的基础地址
-      type: string
-      required: true
-      default: "https://ilinkai.weixin.qq.com"
-    - name: token
-      label:
-        en_US: Token
-        zh_Hans: 令牌
-      description:
-        en_US: Bearer token obtained after QR code login authorization. Leave empty to trigger QR code login on startup.
-        zh_Hans: 扫码登录授权后获取的 Bearer 令牌。留空则启动时自动触发扫码登录。
-      type: string
-      required: false
-      default: ""
-    - name: account_id
-      label:
-        en_US: Account ID
-        zh_Hans: 账号标识
-      description:
-        en_US: A label for this WeChat account (used for display purposes)
-        zh_Hans: 此微信账号的标识（用于显示）
-      type: string
-      required: false
-      default: "openclaw-weixin"
-    - name: poll_timeout
-      label:
-        en_US: Poll Timeout (seconds)
-        zh_Hans: 轮询超时（秒）
-      description:
-        en_US: Long-poll timeout for getUpdates, the server may hold the request up to this duration
-        zh_Hans: getUpdates 长轮询超时时间，服务端最多持有请求的时长
-      type: integer
-      required: false
-      default: 35
-execution:
-  python:
-    path: ./openclaw_weixin.py
-    attr: OpenClawWeixinAdapter

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

@@ -42,25 +42,6 @@ class TelegramMessageConverter(abstract_platform_adapter.AbstractMessageConverte
                         photo_bytes = f.read()
 
                 components.append({'type': 'photo', 'photo': photo_bytes})
-            elif isinstance(component, platform_message.File):
-                file_bytes = None
-
-                if component.base64:
-                    # Strip data URI prefix if present (e.g. "data:application/pdf;base64,...")
-                    b64_data = component.base64
-                    if ';base64,' in b64_data:
-                        b64_data = b64_data.split(';base64,', 1)[1]
-                    file_bytes = base64.b64decode(b64_data)
-                elif component.url:
-                    session = httpclient.get_session()
-                    async with session.get(component.url) as response:
-                        file_bytes = await response.read()
-                elif component.path:
-                    with open(component.path, 'rb') as f:
-                        file_bytes = f.read()
-
-                file_name = getattr(component, 'name', None) or 'file'
-                components.append({'type': 'document', 'document': file_bytes, 'filename': file_name})
             elif isinstance(component, platform_message.Forward):
                 for node in component.node_list:
                     components.extend(await TelegramMessageConverter.yiri2target(node.message_chain, bot))
@@ -123,27 +104,6 @@ class TelegramMessageConverter(abstract_platform_adapter.AbstractMessageConverte
                 )
             )
 
-        if message.document:
-            if message.caption:
-                message_components.extend(parse_message_text(message.caption))
-
-            file = await message.document.get_file()
-            file_name = message.document.file_name or 'document'
-            file_size = message.document.file_size or 0
-            file_format = message.document.mime_type or 'application/octet-stream'
-
-            file_bytes = None
-            async with httpclient.get_session(trust_env=True).get(file.file_path) as response:
-                file_bytes = await response.read()
-
-            message_components.append(
-                platform_message.File(
-                    name=file_name,
-                    size=file_size,
-                    base64=f'data:{file_format};base64,{base64.b64encode(file_bytes).decode("utf-8")}',
-                )
-            )
-
         return platform_message.MessageChain(message_components)
 
 
@@ -219,10 +179,7 @@ class TelegramAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         application = ApplicationBuilder().token(config['token']).build()
         bot = application.bot
         application.add_handler(
-            MessageHandler(
-                filters.TEXT | (filters.COMMAND) | filters.PHOTO | filters.VOICE | filters.Document.ALL,
-                telegram_callback,
-            )
+            MessageHandler(filters.TEXT | (filters.COMMAND) | filters.PHOTO | filters.VOICE, telegram_callback)
         )
         super().__init__(
             config=config,
@@ -261,13 +218,6 @@ class TelegramAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                     continue
                 args['photo'] = telegram.InputFile(photo)
                 await self.bot.send_photo(**args)
-            elif component_type == 'document':
-                doc = component.get('document')
-                if doc is None:
-                    continue
-                filename = component.get('filename', 'file')
-                args['document'] = telegram.InputFile(doc, filename=filename)
-                await self.bot.send_document(**args)
 
     async def reply_message(
         self,

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

@@ -37,24 +37,16 @@ class WebSocketSession:
     id: str
     message_lists: dict[str, list[WebSocketMessage]] = {}
     """消息列表 {pipeline_uuid: [messages]}"""
-    stream_message_indexes: dict[str, dict[str, int]] = {}
-    """流式消息索引 {pipeline_uuid: {resp_message_id: message_index}}"""
 
     def __init__(self, id: str):
         self.id = id
         self.message_lists = {}
-        self.stream_message_indexes = {}
 
     def get_message_list(self, pipeline_uuid: str) -> list[WebSocketMessage]:
         if pipeline_uuid not in self.message_lists:
             self.message_lists[pipeline_uuid] = []
         return self.message_lists[pipeline_uuid]
 
-    def get_stream_message_indexes(self, pipeline_uuid: str) -> dict[str, int]:
-        if pipeline_uuid not in self.stream_message_indexes:
-            self.stream_message_indexes[pipeline_uuid] = {}
-        return self.stream_message_indexes[pipeline_uuid]
-
 
 class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
     """WebSocket适配器 - 支持双向实时通信"""
@@ -97,46 +89,20 @@ class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
         target_id: str,
         message: platform_message.MessageChain,
     ) -> dict:
-        """发送消息 - 这里用于主动推送消息到前端
+        """发送消息 - 这里用于主动推送消息到前端"""
+        message_data = {
+            'type': 'bot_message',
+            'target_type': target_type,
+            'target_id': target_id,
+            'content': str(message),
+            'message_chain': [component.__dict__ for component in message],
+            'timestamp': datetime.now().isoformat(),
+        }
 
-        对于 WebSocket 适配器，我们需要将消息广播到正确的 pipeline 连接。
-        target_id 可能是 launcher_id（如 websocket_xxx）或 pipeline_uuid。
-        我们需要尝试两种方式来确保消息能够送达。
-        """
-        # 获取当前的 pipeline_uuid
-        pipeline_uuid = self.ap.platform_mgr.websocket_proxy_bot.bot_entity.use_pipeline_uuid
-        session_type = 'group' if target_type == 'group' else 'person'
+        # 推送到所有相关连接
+        await self.outbound_message_queue.put(message_data)
 
-        # 选择会话
-        session = self.websocket_group_session if session_type == 'group' else self.websocket_person_session
-
-        # 生成唯一消息ID
-        msg_id = len(session.get_message_list(pipeline_uuid)) + 1
-
-        message_data = WebSocketMessage(
-            id=msg_id,
-            role='assistant',
-            content=str(message),
-            message_chain=[component.__dict__ for component in message],
-            timestamp=datetime.now().isoformat(),
-            is_final=True,
-        )
-
-        # 保存到历史记录
-        session.get_message_list(pipeline_uuid).append(message_data)
-
-        # 直接广播到当前pipeline的连接
-        await ws_connection_manager.broadcast_to_pipeline(
-            pipeline_uuid,
-            {
-                'type': 'response',
-                'session_type': session_type,
-                'data': message_data.model_dump(),
-            },
-            session_type=session_type,
-        )
-
-        return message_data.model_dump()
+        return message_data
 
     async def reply_message(
         self,
@@ -203,16 +169,10 @@ class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
         pipeline_uuid = self.ap.platform_mgr.websocket_proxy_bot.bot_entity.use_pipeline_uuid
         session_type = 'group' if isinstance(message_source, platform_events.GroupMessage) else 'person'
         message_list = session.get_message_list(pipeline_uuid)
-        stream_message_indexes = session.get_stream_message_indexes(pipeline_uuid)
 
-        # Streaming messages in LangBot have a stable resp_message_id during the same assistant reply.
-        # Use it as the primary key to avoid overwriting an old card from a previous reply.
-        resp_message_id = str(getattr(bot_message, 'resp_message_id', '') or '')
-        existing_index = stream_message_indexes.get(resp_message_id) if resp_message_id else None
-
-        message_is_final = is_final and bot_message.tool_calls is None
-
-        if existing_index is None or existing_index >= len(message_list):
+        # 检查是否是新的流式消息（通过bot_message对象判断）
+        # 如果列表为空，或者最后一条消息已经is_final=True，则创建新消息
+        if not message_list or message_list[-1].is_final:
             # 创建新消息
             msg_id = len(message_list) + 1
             message_data = WebSocketMessage(
@@ -221,31 +181,27 @@ class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
                 content=str(message),
                 message_chain=[component.__dict__ for component in message],
                 timestamp=datetime.now().isoformat(),
-                is_final=message_is_final,
+                is_final=is_final and bot_message.tool_calls is None,
             )
 
-            # 立即添加到历史记录（即使is_final=False），以便后续块可以更新它
-            message_list.append(message_data)
-            if resp_message_id:
-                stream_message_indexes[resp_message_id] = len(message_list) - 1
+            # 只有在is_final时才保存到历史记录
+            if is_final and bot_message.tool_calls is None:
+                message_list.append(message_data)
         else:
-            # 更新同一条流式消息
-            old_message = message_list[existing_index]
-            msg_id = old_message.id
+            # 更新最后一条消息
+            msg_id = message_list[-1].id
             message_data = WebSocketMessage(
                 id=msg_id,
                 role='assistant',
                 content=str(message),
                 message_chain=[component.__dict__ for component in message],
-                timestamp=old_message.timestamp,  # 保持原始时间戳
-                is_final=message_is_final,
+                timestamp=message_list[-1].timestamp,  # 保持原始时间戳
+                is_final=is_final and bot_message.tool_calls is None,
             )
 
-            # 更新历史记录中的对应消息
-            message_list[existing_index] = message_data
-
-        if message_is_final and resp_message_id:
-            stream_message_indexes.pop(resp_message_id, None)
+            # 如果是final，更新历史记录中的最后一条
+            if is_final and bot_message.tool_calls is None:
+                message_list[-1] = message_data
 
         # 直接广播到所有该pipeline的连接，包含session_type信息
         await ws_connection_manager.broadcast_to_pipeline(
@@ -454,10 +410,6 @@ class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
         if session_type == 'person':
             if pipeline_uuid in self.websocket_person_session.message_lists:
                 self.websocket_person_session.message_lists[pipeline_uuid] = []
-            if pipeline_uuid in self.websocket_person_session.stream_message_indexes:
-                self.websocket_person_session.stream_message_indexes[pipeline_uuid] = {}
         else:
             if pipeline_uuid in self.websocket_group_session.message_lists:
                 self.websocket_group_session.message_lists[pipeline_uuid] = []
-            if pipeline_uuid in self.websocket_group_session.stream_message_indexes:
-                self.websocket_group_session.stream_message_indexes[pipeline_uuid] = {}

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

@@ -148,54 +148,51 @@ class WecomEventConverter(abstract_platform_adapter.AbstractEventConverter):
             pass
 
         if type(event) is platform_events.FriendMessage:
-            return event.source_platform_object
+            payload = {
+                'MsgType': 'text',
+                'Content': '',
+                'FromUserName': event.sender.id,
+                'ToUserName': bot_account_id,
+                'CreateTime': int(datetime.datetime.now().timestamp()),
+                'AgentID': event.sender.nickname,
+            }
+            wecom_event = WecomEvent.from_payload(payload=payload)
+            if not wecom_event:
+                raise ValueError('无法从 message_data 构造 WecomEvent 对象')
+
+            return wecom_event
 
     @staticmethod
-    async def target2yiri(event: WecomEvent, bot: WecomClient = None):
+    async def target2yiri(event: WecomEvent):
         """
         将 WecomEvent 转换为平台的 FriendMessage 对象。
 
         Args:
             event (WecomEvent): 企业微信事件。
-            bot (WecomClient): 企业微信客户端，用于获取用户信息。
 
         Returns:
             platform_events.FriendMessage: 转换后的 FriendMessage 对象。
         """
-        # Try to get the user's real name from the WeCom API
-        nickname = str(event.user_id)
-        if bot and event.user_id:
-            try:
-                user_info = await bot.get_user_info(event.user_id)
-                if user_info and user_info.get('name'):
-                    nickname = user_info.get('name')
-            except Exception:
-                pass  # Fall back to user_id as nickname
-
         # 转换消息链
         if event.type == 'text':
             yiri_chain = await WecomMessageConverter.target2yiri(event.message, event.message_id)
             friend = platform_entities.Friend(
                 id=f'u{event.user_id}',
-                nickname=nickname,
+                nickname=str(event.agent_id),
                 remark='',
             )
 
-            return platform_events.FriendMessage(
-                sender=friend, message_chain=yiri_chain, time=event.timestamp, source_platform_object=event
-            )
+            return platform_events.FriendMessage(sender=friend, message_chain=yiri_chain, time=event.timestamp)
         elif event.type == 'image':
             friend = platform_entities.Friend(
                 id=f'u{event.user_id}',
-                nickname=nickname,
+                nickname=str(event.agent_id),
                 remark='',
             )
 
             yiri_chain = await WecomMessageConverter.target2yiri_image(picurl=event.picurl, message_id=event.message_id)
 
-            return platform_events.FriendMessage(
-                sender=friend, message_chain=yiri_chain, time=event.timestamp, source_platform_object=event
-            )
+            return platform_events.FriendMessage(sender=friend, message_chain=yiri_chain, time=event.timestamp)
 
 
 class WecomAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
@@ -213,6 +210,7 @@ class WecomAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             'secret',
             'token',
             'EncodingAESKey',
+            'contacts_secret',
         ]
 
         missing_keys = [key for key in required_keys if key not in config]
@@ -225,7 +223,7 @@ class WecomAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             secret=config['secret'],
             token=config['token'],
             EncodingAESKey=config['EncodingAESKey'],
-            contacts_secret=config.get('contacts_secret', ''),  # Optional, kept for backward compatibility
+            contacts_secret=config['contacts_secret'],
             logger=logger,
             unified_mode=True,
             api_base_url=config.get('api_base_url', 'https://qyapi.weixin.qq.com/cgi-bin'),
@@ -250,17 +248,18 @@ class WecomAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
     ):
         Wecom_event = await WecomEventConverter.yiri2target(message_source, self.bot_account_id, self.bot)
         content_list = await WecomMessageConverter.yiri2target(message, self.bot)
-        # user_id is the original FromUserName from WecomEvent
-        user_id = Wecom_event.user_id
+        fixed_user_id = Wecom_event.user_id
+        # 删掉开头的u
+        fixed_user_id = fixed_user_id[1:]
         for content in content_list:
             if content['type'] == 'text':
-                await self.bot.send_private_msg(user_id, Wecom_event.agent_id, content['content'])
+                await self.bot.send_private_msg(fixed_user_id, Wecom_event.agent_id, content['content'])
             elif content['type'] == 'image':
-                await self.bot.send_image(user_id, Wecom_event.agent_id, content['media_id'])
+                await self.bot.send_image(fixed_user_id, Wecom_event.agent_id, content['media_id'])
             elif content['type'] == 'voice':
-                await self.bot.send_voice(user_id, Wecom_event.agent_id, content['media_id'])
+                await self.bot.send_voice(fixed_user_id, Wecom_event.agent_id, content['media_id'])
             elif content['type'] == 'file':
-                await self.bot.send_file(user_id, Wecom_event.agent_id, content['media_id'])
+                await self.bot.send_file(fixed_user_id, Wecom_event.agent_id, content['media_id'])
 
     async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
         content_list = await WecomMessageConverter.yiri2target(message, self.bot)
@@ -288,7 +287,7 @@ class WecomAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         async def on_message(event: WecomEvent):
             self.bot_account_id = event.receiver_id
             try:
-                return await callback(await self.event_converter.target2yiri(event, self.bot), self)
+                return await callback(await self.event_converter.target2yiri(event), self)
             except Exception:
                 await self.logger.error(f'Error in wecom callback: {traceback.format_exc()}')
 

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

@@ -39,6 +39,13 @@ spec:
       type: string
       required: true
       default: ""
+    - name: contacts_secret
+      label:
+        en_US: Contacts Secret
+        zh_Hans: 通讯录密钥
+      type: string
+      required: true
+      default: ""
     - name: api_base_url
       label:
         en_US: API Base URL

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

@@ -11,7 +11,6 @@ import langbot_plugin.api.entities.builtin.platform.entities as platform_entitie
 from ..logger import EventLogger
 from langbot.libs.wecom_ai_bot_api.wecombotevent import WecomBotEvent
 from langbot.libs.wecom_ai_bot_api.api import WecomBotClient
-from langbot.libs.wecom_ai_bot_api.ws_client import WecomBotWsClient
 
 
 class WecomBotMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
@@ -24,18 +23,14 @@ class WecomBotMessageConverter(abstract_platform_adapter.AbstractMessageConverte
         return content
 
     @staticmethod
-    async def target2yiri(event: WecomBotEvent, bot_name: str = ''):
+    async def target2yiri(event: WecomBotEvent):
         yiri_msg_list = []
         if event.type == 'group':
             yiri_msg_list.append(platform_message.At(target=event.ai_bot_id))
-
         yiri_msg_list.append(platform_message.Source(id=event.message_id, time=datetime.datetime.now()))
 
         if event.content:
-            content = event.content
-            if bot_name:
-                content = content.replace(f'@{bot_name}', '').strip()
-            yiri_msg_list.append(platform_message.Plain(text=content))
+            yiri_msg_list.append(platform_message.Plain(text=event.content))
 
         images = []
         if event.images:
@@ -138,15 +133,13 @@ class WecomBotMessageConverter(abstract_platform_adapter.AbstractMessageConverte
 
 
 class WecomBotEventConverter(abstract_platform_adapter.AbstractEventConverter):
-    def __init__(self, bot_name: str = ''):
-        self.bot_name = bot_name
-
     @staticmethod
     async def yiri2target(event: platform_events.MessageEvent):
         return event.source_platform_object
 
-    async def target2yiri(self, event: WecomBotEvent):
-        message_chain = await WecomBotMessageConverter.target2yiri(event, bot_name=self.bot_name)
+    @staticmethod
+    async def target2yiri(event: WecomBotEvent):
+        message_chain = await WecomBotMessageConverter.target2yiri(event)
         if event.type == 'single':
             return platform_events.FriendMessage(
                 sender=platform_entities.Friend(
@@ -183,53 +176,34 @@ class WecomBotEventConverter(abstract_platform_adapter.AbstractEventConverter):
 
 
 class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
-    bot: typing.Union[WecomBotClient, WecomBotWsClient]
+    bot: WecomBotClient
     bot_account_id: str
     message_converter: WecomBotMessageConverter = WecomBotMessageConverter()
-    event_converter: WecomBotEventConverter
+    event_converter: WecomBotEventConverter = WecomBotEventConverter()
     config: dict
     bot_uuid: str = None
-    _ws_mode: bool = False
-    bot_name: str = ''
-    listeners: dict = {}
 
     def __init__(self, config: dict, logger: EventLogger):
-        enable_webhook = config.get('enable-webhook', False)
-        bot_name = config.get('robot_name', '')
+        required_keys = ['Token', 'EncodingAESKey', 'Corpid', 'BotId']
+        missing_keys = [key for key in required_keys if key not in config]
+        if missing_keys:
+            raise Exception(f'WecomBot 缺少配置项: {missing_keys}')
 
-        if not enable_webhook:
-            bot = WecomBotWsClient(
-                bot_id=config['BotId'],
-                secret=config['Secret'],
-                logger=logger,
-                encoding_aes_key=config.get('EncodingAESKey', ''),
-            )
-        else:
-            # Webhook callback mode
-            required_keys = ['Token', 'EncodingAESKey', 'Corpid']
-            missing_keys = [key for key in required_keys if key not in config or not config[key]]
-            if missing_keys:
-                raise Exception(f'WecomBot webhook mode missing config: {missing_keys}')
+        bot = WecomBotClient(
+            Token=config['Token'],
+            EnCodingAESKey=config['EncodingAESKey'],
+            Corpid=config['Corpid'],
+            logger=logger,
+            unified_mode=True,
+        )
+        bot_account_id = config['BotId']
 
-            bot = WecomBotClient(
-                Token=config['Token'],
-                EnCodingAESKey=config['EncodingAESKey'],
-                Corpid=config['Corpid'],
-                logger=logger,
-                unified_mode=True,
-            )
-
-        bot_account_id = config.get('BotId', '')
-        event_converter = WecomBotEventConverter(bot_name=bot_name)
         super().__init__(
             config=config,
             logger=logger,
             bot=bot,
             bot_account_id=bot_account_id,
-            bot_name=bot_name,
-            event_converter=event_converter,
         )
-        self.listeners = {}
 
     async def reply_message(
         self,
@@ -238,17 +212,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         quote_origin: bool = False,
     ):
         content = await self.message_converter.yiri2target(message)
-        _ws_mode = not self.config.get('enable-webhook', False)
-
-        if _ws_mode:
-            event = message_source.source_platform_object
-            req_id = event.get('req_id', '')
-            if req_id:
-                await self.bot.reply_text(req_id, content)
-            else:
-                await self.bot.set_message(event.message_id, content)
-        else:
-            await self.bot.set_message(message_source.source_platform_object.message_id, content)
+        await self.bot.set_message(message_source.source_platform_object.message_id, content)
 
     async def reply_message_chunk(
         self,
@@ -258,23 +222,31 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         quote_origin: bool = False,
         is_final: bool = False,
     ):
+        """将流水线增量输出写入企业微信 stream 会话。
+
+        Args:
+            message_source: 流水线提供的原始消息事件。
+            bot_message: 当前片段对应的模型元信息（未使用）。
+            message: 需要回复的消息链。
+            quote_origin: 是否引用原消息（企业微信暂不支持）。
+            is_final: 标记当前片段是否为最终回复。
+
+        Returns:
+            dict: 包含 `stream` 键，标识写入是否成功。
+
+        Example:
+            在流水线 `reply_message_chunk` 调用中自动触发，无需手动调用。
+        """
+        # 转换为纯文本（智能机器人当前协议仅支持文本流）
         content = await self.message_converter.yiri2target(message)
         msg_id = message_source.source_platform_object.message_id
-        _ws_mode = not self.config.get('enable-webhook', False)
 
-        if _ws_mode:
-            success = await self.bot.push_stream_chunk(msg_id, content, is_final=is_final)
-            if not success and is_final:
-                event = message_source.source_platform_object
-                req_id = event.get('req_id', '')
-                if req_id:
-                    await self.bot.reply_text(req_id, content)
-            return {'stream': success}
-        else:
-            success = await self.bot.push_stream_chunk(msg_id, content, is_final=is_final)
-            if not success and is_final:
-                await self.bot.set_message(msg_id, content)
-            return {'stream': success}
+        # 将片段推送到 WecomBotClient 中的队列，返回值用于判断是否走降级逻辑
+        success = await self.bot.push_stream_chunk(msg_id, content, is_final=is_final)
+        if not success and is_final:
+            # 未命中流式队列时使用旧有 set_message 兜底
+            await self.bot.set_message(msg_id, content)
+        return {'stream': success}
 
     async def is_stream_output_supported(self) -> bool:
         """智能机器人侧默认开启流式能力。
@@ -287,21 +259,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         return True
 
     async def send_message(self, target_type, target_id, message):
-        _ws_mode = not self.config.get('enable-webhook', False)
-        if _ws_mode:
-            content = await self.message_converter.yiri2target(message)
-            await self.bot.send_message(target_id, content)
-        else:
-            pass
-
-    async def on_message(self, event: WecomBotEvent):
-        try:
-            lb_event = await self.event_converter.target2yiri(event)
-            if lb_event:
-                await self.listeners[type(lb_event)](lb_event, self)
-        except Exception:
-            await self.logger.error(f'Error in wecombot callback: {traceback.format_exc()}')
-            print(traceback.format_exc())
+        pass
 
     def register_listener(
         self,
@@ -310,13 +268,18 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             [platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
         ],
     ):
-        self.listeners[event_type] = callback
+        async def on_message(event: WecomBotEvent):
+            try:
+                return await callback(await self.event_converter.target2yiri(event), self)
+            except Exception:
+                await self.logger.error(f'Error in wecombot callback: {traceback.format_exc()}')
+                print(traceback.format_exc())
 
         try:
             if event_type == platform_events.FriendMessage:
-                self.bot.on_message('single')(self.on_message)
+                self.bot.on_message('single')(on_message)
             elif event_type == platform_events.GroupMessage:
-                self.bot.on_message('group')(self.on_message)
+                self.bot.on_message('group')(on_message)
         except Exception:
             print(traceback.format_exc())
 
@@ -325,28 +288,29 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         self.bot_uuid = bot_uuid
 
     async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
-        _ws_mode = not self.config.get('enable-webhook', False)
-        if _ws_mode:
-            return None
+        """处理统一 webhook 请求。
+
+        Args:
+            bot_uuid: Bot 的 UUID
+            path: 子路径（如果有的话）
+            request: Quart Request 对象
+
+        Returns:
+            响应数据
+        """
         return await self.bot.handle_unified_webhook(request)
 
     async def run_async(self):
-        _ws_mode = not self.config.get('enable-webhook', False)
-        if _ws_mode:
-            await self.bot.connect()
-        else:
+        # 统一 webhook 模式下，不启动独立的 Quart 应用
+        # 保持运行但不启动独立端口
 
-            async def keep_alive():
-                while True:
-                    await asyncio.sleep(1)
+        async def keep_alive():
+            while True:
+                await asyncio.sleep(1)
 
-            await keep_alive()
+        await keep_alive()
 
     async def kill(self) -> bool:
-        _ws_mode = not self.config.get('enable-webhook', False)
-        if _ws_mode:
-            await self.bot.disconnect()
-            return True
         return False
 
     async def unregister_listener(

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

@@ -11,71 +11,35 @@ metadata:
   icon: wecombot.png
 spec:
   config:
-    - name: BotId
-      label:
-        en_US: BotId
-        zh_Hans: 机器人ID (BotId)
-      type: string
-      required: true
-      default: ""
-    - name: robot_name
-      label:
-        en_US: Robot Name
-        zh_Hans: 机器人名称
-      type: string
-      required: true
-      default: ""
-    - name: enable-webhook
-      label:
-        en_US: Enable Webhook Mode
-        zh_Hans: 启用Webhook模式
-      description:
-        en_US: If enabled, the bot will use webhook mode to receive messages. Otherwise, it will use WS long connection mode
-        zh_Hans: 如果启用，机器人将使用 Webhook 模式接收消息。否则，将使用 WS 长连接模式
-      type: boolean
-      required: true
-      default: false
-    - name: Secret
-      label:
-        en_US: Secret
-        zh_Hans: 机器人密钥 (Secret)
-      description:
-        en_US: Required for WebSocket long connection mode
-        zh_Hans: 使用 WS 长连接模式时必填
-      type: string
-      required: false
-      default: ""
     - name: Corpid
       label:
         en_US: Corpid
         zh_Hans: 企业ID
-      description:
-        en_US: Required for Webhook mode
-        zh_Hans: 使用 Webhook 模式时必填
       type: string
-      required: false
+      required: true
       default: ""
     - name: Token
       label:
         en_US: Token
         zh_Hans: 令牌 (Token)
-      description:
-        en_US: Required for Webhook mode
-        zh_Hans: 使用 Webhook 模式时必填
       type: string
-      required: false
+      required: true
       default: ""
     - name: EncodingAESKey
       label:
         en_US: EncodingAESKey
         zh_Hans: 消息加解密密钥 (EncodingAESKey)
-      description:
-        en_US: Required for Webhook mode. Optional for WebSocket mode (used for file decryption)
-        zh_Hans: 使用 Webhook 模式时必填。WebSocket 模式下可选（用于文件解密）
+      type: string
+      required: true
+      default: ""
+    - name: BotId
+      label:
+        en_US: BotId
+        zh_Hans: 机器人ID
       type: string
       required: false
       default: ""
 execution:
   python:
     path: ./wecombot.py
-    attr: WecomBotAdapter
+    attr: WecomBotAdapter

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

@@ -81,33 +81,22 @@ class WecomEventConverter(abstract_platform_adapter.AbstractEventConverter):
             return event.source_platform_object
 
     @staticmethod
-    async def target2yiri(event: WecomCSEvent, bot: WecomCSClient = None):
+    async def target2yiri(event: WecomCSEvent):
         """
         将 WecomEvent 转换为平台的 FriendMessage 对象。
 
         Args:
             event (WecomEvent): 企业微信客服事件。
-            bot (WecomCSClient): 企业微信客服客户端，用于获取用户信息。
 
         Returns:
             platform_events.FriendMessage: 转换后的 FriendMessage 对象。
         """
-        # Try to get customer nickname from WeChat API
-        nickname = str(event.user_id)
-        if bot and event.user_id:
-            try:
-                customer_info = await bot.get_customer_info(event.user_id)
-                if customer_info and customer_info.get('nickname'):
-                    nickname = customer_info.get('nickname')
-            except Exception:
-                pass  # Fall back to user_id as nickname
-
         # 转换消息链
         if event.type == 'text':
             yiri_chain = await WecomMessageConverter.target2yiri(event.message, event.message_id)
             friend = platform_entities.Friend(
                 id=f'u{event.user_id}',
-                nickname=nickname,
+                nickname=str(event.user_id),
                 remark='',
             )
 
@@ -117,7 +106,7 @@ class WecomEventConverter(abstract_platform_adapter.AbstractEventConverter):
         elif event.type == 'image':
             friend = platform_entities.Friend(
                 id=f'u{event.user_id}',
-                nickname=nickname,
+                nickname=str(event.user_id),
                 remark='',
             )
 
@@ -198,7 +187,7 @@ class WecomCSAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         async def on_message(event: WecomCSEvent):
             self.bot_account_id = event.receiver_id
             try:
-                return await callback(await self.event_converter.target2yiri(event, self.bot), self)
+                return await callback(await self.event_converter.target2yiri(event), self)
             except Exception:
                 await self.logger.error(f'Error in wecomcs callback: {traceback.format_exc()}')
 

src/langbot/pkg/plugin/handler.py

@@ -314,11 +314,11 @@ class RuntimeConnectionHandler(handler.Handler):
 
         @self.action(PluginToRuntimeAction.GET_LLM_MODELS)
         async def get_llm_models(data: dict[str, Any]) -> handler.ActionResponse:
-            """Get llm models, returns list of UUID strings"""
+            """Get llm models"""
             llm_models = await self.ap.llm_model_service.get_llm_models(include_secret=False)
             return handler.ActionResponse.success(
                 data={
-                    'llm_models': [m['uuid'] for m in llm_models],
+                    'llm_models': llm_models,
                 },
             )
 
@@ -337,14 +337,7 @@ class RuntimeConnectionHandler(handler.Handler):
                 )
 
             messages_obj = [provider_message.Message.model_validate(message) for message in messages]
-
-            # The func field is excluded during model_dump() in plugin side (marked as exclude=True),
-            # but it's a required field for LLMTool validation. We need to provide a placeholder
-            # function when reconstructing the LLMTool objects from serialized data.
-            async def _placeholder_func(**kwargs):
-                pass
-
-            funcs_obj = [resource_tool.LLMTool.model_validate({**func, 'func': _placeholder_func}) for func in funcs]
+            funcs_obj = [resource_tool.LLMTool.model_validate(func) for func in funcs]
 
             result = await llm_model.provider.invoke_llm(
                 query=None,
@@ -531,7 +524,6 @@ class RuntimeConnectionHandler(handler.Handler):
             filters = data.get('filters')
             search_type = data.get('search_type', 'vector')
             query_text = data.get('query_text', '')
-            vector_weight = data.get('vector_weight')
             try:
                 results = await self.ap.rag_runtime_service.vector_search(
                     collection_id,
@@ -540,7 +532,6 @@ class RuntimeConnectionHandler(handler.Handler):
                     filters,
                     search_type,
                     query_text,
-                    vector_weight=vector_weight,
                 )
                 return handler.ActionResponse.success(data={'results': results})
             except Exception as e:
@@ -557,18 +548,6 @@ class RuntimeConnectionHandler(handler.Handler):
             except Exception as e:
                 return _make_rag_error_response(e, 'VectorStoreError', collection_id=collection_id)
 
-        @self.action(PluginToRuntimeAction.VECTOR_LIST)
-        async def vector_list(data: dict[str, Any]) -> handler.ActionResponse:
-            collection_id = data['collection_id']
-            filters = data.get('filters')
-            limit = data.get('limit', 20)
-            offset = data.get('offset', 0)
-            try:
-                items, total = await self.ap.rag_runtime_service.vector_list(collection_id, filters, limit, offset)
-                return handler.ActionResponse.success(data={'items': items, 'total': total})
-            except Exception as e:
-                return _make_rag_error_response(e, 'VectorStoreError', collection_id=collection_id)
-
         @self.action(PluginToRuntimeAction.GET_KNOWLEDEGE_FILE_STREAM)
         async def get_knowledge_file_stream(data: dict[str, Any]) -> handler.ActionResponse:
             storage_path = data['storage_path']
@@ -579,16 +558,6 @@ class RuntimeConnectionHandler(handler.Handler):
             except Exception as e:
                 return _make_rag_error_response(e, 'FileServiceError', storage_path=storage_path)
 
-        @self.action(PluginToRuntimeAction.LIST_PARSERS)
-        async def list_parsers(data: dict[str, Any]) -> handler.ActionResponse:
-            """Plugin requests host to list available parser plugins."""
-            mime_type = data.get('mime_type')
-            try:
-                parsers = await self.ap.knowledge_service.list_parsers(mime_type)
-                return handler.ActionResponse.success(data={'parsers': parsers})
-            except Exception as e:
-                return _make_rag_error_response(e, 'ParserDiscoveryError', mime_type=mime_type)
-
         @self.action(PluginToRuntimeAction.INVOKE_PARSER)
         async def invoke_parser(data: dict[str, Any]) -> handler.ActionResponse:
             """Plugin requests host to invoke a parser plugin."""
@@ -613,139 +582,6 @@ class RuntimeConnectionHandler(handler.Handler):
             except Exception as e:
                 return _make_rag_error_response(e, 'ParserError')
 
-        # ================= Knowledge Base Query APIs =================
-
-        @self.action(PluginToRuntimeAction.LIST_KNOWLEDGE_BASES)
-        async def list_knowledge_bases(data: dict[str, Any]) -> handler.ActionResponse:
-            """List all knowledge bases available in the LangBot instance (unrestricted)."""
-            knowledge_bases = []
-            for kb_uuid, kb in self.ap.rag_mgr.knowledge_bases.items():
-                knowledge_bases.append(
-                    {
-                        'uuid': kb.get_uuid(),
-                        'name': kb.get_name(),
-                        'description': kb.knowledge_base_entity.description or '',
-                    }
-                )
-            return handler.ActionResponse.success(data={'knowledge_bases': knowledge_bases})
-
-        @self.action(PluginToRuntimeAction.RETRIEVE_KNOWLEDGE)
-        async def retrieve_knowledge(data: dict[str, Any]) -> handler.ActionResponse:
-            """Retrieve documents from any knowledge base (unrestricted)."""
-            kb_id = data['kb_id']
-            query_text = data['query_text']
-            top_k = data.get('top_k', 5)
-            filters = data.get('filters', {})
-
-            kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_id)
-            if not kb:
-                return handler.ActionResponse.error(
-                    message=f'Knowledge base {kb_id} not found',
-                )
-
-            try:
-                entries = await kb.retrieve(
-                    query_text,
-                    settings={
-                        'top_k': top_k,
-                        'filters': filters,
-                    },
-                )
-                results = [entry.model_dump(mode='json') for entry in entries]
-                return handler.ActionResponse.success(data={'results': results})
-            except Exception as e:
-                return _make_rag_error_response(e, 'RetrievalError', kb_id=kb_id)
-
-        @self.action(PluginToRuntimeAction.LIST_PIPELINE_KNOWLEDGE_BASES)
-        async def list_pipeline_knowledge_bases(data: dict[str, Any]) -> handler.ActionResponse:
-            """List knowledge bases configured for the current query's pipeline."""
-            query_id = data['query_id']
-
-            if query_id not in self.ap.query_pool.cached_queries:
-                return handler.ActionResponse.error(
-                    message=f'Query with query_id {query_id} not found',
-                )
-
-            query = self.ap.query_pool.cached_queries[query_id]
-
-            kb_uuids = []
-            if query.pipeline_config:
-                local_agent_config = query.pipeline_config.get('ai', {}).get('local-agent', {})
-                kb_uuids = local_agent_config.get('knowledge-bases', [])
-                # Backward compatibility
-                if not kb_uuids:
-                    old_kb_uuid = local_agent_config.get('knowledge-base', '')
-                    if old_kb_uuid and old_kb_uuid != '__none__':
-                        kb_uuids = [old_kb_uuid]
-
-            knowledge_bases = []
-            for kb_uuid in kb_uuids:
-                kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_uuid)
-                if kb:
-                    knowledge_bases.append(
-                        {
-                            'uuid': kb.get_uuid(),
-                            'name': kb.get_name(),
-                            'description': kb.knowledge_base_entity.description or '',
-                        }
-                    )
-
-            return handler.ActionResponse.success(data={'knowledge_bases': knowledge_bases})
-
-        @self.action(PluginToRuntimeAction.RETRIEVE_KNOWLEDGE_BASE)
-        async def retrieve_knowledge_base(data: dict[str, Any]) -> handler.ActionResponse:
-            """Retrieve documents from a knowledge base within the pipeline's scope."""
-            query_id = data['query_id']
-            kb_id = data['kb_id']
-            query_text = data['query_text']
-            top_k = data.get('top_k', 5)
-            filters = data.get('filters', {})
-
-            if query_id not in self.ap.query_pool.cached_queries:
-                return handler.ActionResponse.error(
-                    message=f'Query with query_id {query_id} not found',
-                )
-
-            query = self.ap.query_pool.cached_queries[query_id]
-
-            # Validate kb_id is in pipeline's allowed list
-            allowed_kb_uuids = []
-            if query.pipeline_config:
-                local_agent_config = query.pipeline_config.get('ai', {}).get('local-agent', {})
-                allowed_kb_uuids = local_agent_config.get('knowledge-bases', [])
-                if not allowed_kb_uuids:
-                    old_kb_uuid = local_agent_config.get('knowledge-base', '')
-                    if old_kb_uuid and old_kb_uuid != '__none__':
-                        allowed_kb_uuids = [old_kb_uuid]
-
-            if kb_id not in allowed_kb_uuids:
-                return handler.ActionResponse.error(
-                    message=f'Knowledge base {kb_id} is not configured for this pipeline',
-                )
-
-            kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_id)
-            if not kb:
-                return handler.ActionResponse.error(
-                    message=f'Knowledge base {kb_id} not found',
-                )
-
-            try:
-                session_name = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
-                entries = await kb.retrieve(
-                    query_text,
-                    settings={
-                        'top_k': top_k,
-                        'filters': filters,
-                        'session_name': session_name,
-                        'bot_uuid': query.bot_uuid or '',
-                        'sender_id': str(query.sender_id),
-                    },
-                )
-                results = [entry.model_dump(mode='json') for entry in entries]
-                return handler.ActionResponse.success(data={'results': results})
-            except Exception as e:
-                return _make_rag_error_response(e, 'RetrievalError', kb_id=kb_id)
-
         @self.action(CommonAction.PING)
         async def ping(data: dict[str, Any]) -> handler.ActionResponse:
             """Ping"""
@@ -1052,7 +888,7 @@ class RuntimeConnectionHandler(handler.Handler):
         result = await self.call_action(
             LangBotToRuntimeAction.RAG_INGEST_DOCUMENT,
             {'plugin_author': plugin_author, 'plugin_name': plugin_name, 'context': context_data},
-            timeout=1200,  # Ingestion can be slow for large documents
+            timeout=300,  # Ingestion can be slow
         )
         return result
 

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

@@ -288,10 +288,10 @@ class AnthropicMessages(requester.ProviderAPIRequester):
             think_started = False
             think_ended = False
             finish_reason = False
+            content = ''
             tool_name = ''
             tool_id = ''
             async for chunk in await self.client.messages.create(**args):
-                content = ''
                 tool_call = {'id': None, 'function': {'name': None, 'arguments': None}, 'type': 'function'}
                 if isinstance(
                     chunk, anthropic.types.raw_content_block_start_event.RawContentBlockStartEvent

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

@@ -441,7 +441,6 @@ class DifyServiceAPIRunner(runner.RequestRunner):
         is_final = False
         think_start = False
         think_end = False
-        yielded_final = False
 
         remove_think = self.pipeline_config['output'].get('misc', '').get('remove-think')
 
@@ -494,19 +493,13 @@ class DifyServiceAPIRunner(runner.RequestRunner):
                     if answer:
                         basic_mode_pending_chunk = answer
 
-            if (
-                not yielded_final
-                and (is_final or message_idx % 8 == 0)
-                and (basic_mode_pending_chunk != '' or is_final)
-            ):
+            if (is_final or message_idx % 8 == 0) and (basic_mode_pending_chunk != '' or is_final):
                 # content, _ = self._process_thinking_content(basic_mode_pending_chunk)
                 yield provider_message.MessageChunk(
                     role='assistant',
                     content=basic_mode_pending_chunk,
                     is_final=is_final,
                 )
-                if is_final:
-                    yielded_final = True
 
         if chunk is None:
             raise errors.DifyAPIError('Dify API 没有返回任何响应，请检查网络连接和API配置')

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

@@ -4,7 +4,6 @@ import json
 import copy
 import typing
 from .. import runner
-from ..modelmgr import requester as modelmgr_requester
 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
@@ -27,114 +26,29 @@ Respond in the same language as the user's input.
 
 @runner.runner_class('local-agent')
 class LocalAgentRunner(runner.RequestRunner):
-    """Local agent request runner"""
+    """本地Agent请求运行器"""
 
-    async def _get_model_candidates(
-        self,
-        query: pipeline_query.Query,
-    ) -> list[modelmgr_requester.RuntimeLLMModel]:
-        """Build ordered list of models to try: primary model + fallback models."""
-        candidates = []
+    class ToolCallTracker:
+        """工具调用追踪器"""
 
-        # Primary model
-        if query.use_llm_model_uuid:
-            try:
-                primary = await self.ap.model_mgr.get_model_by_uuid(query.use_llm_model_uuid)
-                candidates.append(primary)
-            except ValueError:
-                self.ap.logger.warning(f'Primary model {query.use_llm_model_uuid} not found')
-
-        # Fallback models
-        fallback_uuids = (query.variables or {}).get('_fallback_model_uuids', [])
-        for fb_uuid in fallback_uuids:
-            try:
-                fb_model = await self.ap.model_mgr.get_model_by_uuid(fb_uuid)
-                candidates.append(fb_model)
-            except ValueError:
-                self.ap.logger.warning(f'Fallback model {fb_uuid} not found, skipping')
-
-        return candidates
-
-    async def _invoke_with_fallback(
-        self,
-        query: pipeline_query.Query,
-        candidates: list[modelmgr_requester.RuntimeLLMModel],
-        messages: list,
-        funcs: list,
-        remove_think: bool,
-    ) -> tuple[provider_message.Message, modelmgr_requester.RuntimeLLMModel]:
-        """Try non-streaming invocation with sequential fallback. Returns (message, model_used)."""
-        last_error = None
-        for model in candidates:
-            try:
-                msg = await model.provider.invoke_llm(
-                    query,
-                    model,
-                    messages,
-                    funcs if model.model_entity.abilities.__contains__('func_call') else [],
-                    extra_args=model.model_entity.extra_args,
-                    remove_think=remove_think,
-                )
-                return msg, model
-            except Exception as e:
-                last_error = e
-                self.ap.logger.warning(f'Model {model.model_entity.name} failed: {e}, trying next fallback...')
-        raise last_error or RuntimeError('No model candidates available')
-
-    async def _invoke_stream_with_fallback(
-        self,
-        query: pipeline_query.Query,
-        candidates: list[modelmgr_requester.RuntimeLLMModel],
-        messages: list,
-        funcs: list,
-        remove_think: bool,
-    ) -> tuple[typing.AsyncGenerator, modelmgr_requester.RuntimeLLMModel]:
-        """Try streaming invocation with sequential fallback. Returns (stream_generator, model_used).
-
-        Fallback is only possible before any chunks have been yielded to the client.
-        Once streaming starts, the model is committed.
-        """
-        last_error = None
-        for model in candidates:
-            try:
-                stream = model.provider.invoke_llm_stream(
-                    query,
-                    model,
-                    messages,
-                    funcs if model.model_entity.abilities.__contains__('func_call') else [],
-                    extra_args=model.model_entity.extra_args,
-                    remove_think=remove_think,
-                )
-                # Attempt to get the first chunk to verify the stream works
-                first_chunk = await stream.__anext__()
-
-                async def _chain_stream(first, rest):
-                    yield first
-                    async for chunk in rest:
-                        yield chunk
-
-                return _chain_stream(first_chunk, stream), model
-            except StopAsyncIteration:
-                # Empty stream — treat as success (model returned nothing)
-                async def _empty_stream():
-                    return
-                    yield  # make it a generator
-
-                return _empty_stream(), model
-            except Exception as e:
-                last_error = e
-                self.ap.logger.warning(f'Model {model.model_entity.name} stream failed: {e}, trying next fallback...')
-        raise last_error or RuntimeError('No model candidates available')
+        def __init__(self):
+            self.active_calls: dict[str, dict] = {}
+            self.completed_calls: list[provider_message.ToolCall] = []
 
     async def run(
         self, query: pipeline_query.Query
     ) -> typing.AsyncGenerator[provider_message.Message | provider_message.MessageChunk, None]:
-        """Run request"""
+        """运行请求"""
         pending_tool_calls = []
 
-        # Get knowledge bases list from query variables (set by PreProcessor,
-        # may have been modified by plugins during PromptPreProcessing)
-        kb_uuids = query.variables.get('_knowledge_base_uuids', [])
+        # Get knowledge bases list (new field)
+        kb_uuids = query.pipeline_config['ai']['local-agent'].get('knowledge-bases', [])
+
+        # Fallback to old field for backward compatibility
+        if not kb_uuids:
+            old_kb_uuid = query.pipeline_config['ai']['local-agent'].get('knowledge-base', '')
+            if old_kb_uuid and old_kb_uuid != '__none__':
+                kb_uuids = [old_kb_uuid]
 
         user_message = copy.deepcopy(query.user_message)
 
@@ -160,14 +74,7 @@ class LocalAgentRunner(runner.RequestRunner):
                     self.ap.logger.warning(f'Knowledge base {kb_uuid} not found, skipping')
                     continue
 
-                result = await kb.retrieve(
-                    user_message_text,
-                    settings={
-                        'bot_uuid': query.bot_uuid or '',
-                        'sender_id': str(query.sender_id),
-                        'session_name': f'{query.session.launcher_type.value}_{query.session.launcher_id}',
-                    },
-                )
+                result = await kb.retrieve(user_message_text)
 
                 if result:
                     all_results.extend(result)
@@ -206,51 +113,51 @@ class LocalAgentRunner(runner.RequestRunner):
 
         remove_think = query.pipeline_config['output'].get('misc', '').get('remove-think')
 
-        # Build ordered candidate list (primary + fallbacks)
-        candidates = await self._get_model_candidates(query)
-        if not candidates:
-            raise RuntimeError('No LLM model configured for local-agent runner')
+        use_llm_model = await self.ap.model_mgr.get_model_by_uuid(query.use_llm_model_uuid)
 
         self.ap.logger.debug(
-            f'localagent req: query={query.query_id} req_messages={req_messages} '
-            f'candidates={[m.model_entity.name for m in candidates]}'
+            f'localagent req: query={query.query_id} req_messages={req_messages} use_llm_model={query.use_llm_model_uuid}'
         )
 
         if not is_stream:
-            # Non-streaming: invoke with fallback
-            msg, use_llm_model = await self._invoke_with_fallback(
+            # 非流式输出，直接请求
+
+            msg = await use_llm_model.provider.invoke_llm(
                 query,
-                candidates,
+                use_llm_model,
                 req_messages,
                 query.use_funcs,
-                remove_think,
+                extra_args=use_llm_model.model_entity.extra_args,
+                remove_think=remove_think,
             )
             yield msg
             final_msg = msg
         else:
-            # Streaming: invoke with fallback
+            # 流式输出，需要处理工具调用
             tool_calls_map: dict[str, provider_message.ToolCall] = {}
             msg_idx = 0
-            accumulated_content = ''
+            accumulated_content = ''  # 从开始累积的所有内容
             last_role = 'assistant'
             msg_sequence = 1
-
-            stream_src, use_llm_model = await self._invoke_stream_with_fallback(
+            async for msg in use_llm_model.provider.invoke_llm_stream(
                 query,
-                candidates,
+                use_llm_model,
                 req_messages,
                 query.use_funcs,
-                remove_think,
-            )
-            async for msg in stream_src:
+                extra_args=use_llm_model.model_entity.extra_args,
+                remove_think=remove_think,
+            ):
                 msg_idx = msg_idx + 1
 
+                # 记录角色
                 if msg.role:
                     last_role = msg.role
 
+                # 累积内容
                 if msg.content:
                     accumulated_content += msg.content
 
+                # 处理工具调用
                 if msg.tool_calls:
                     for tool_call in msg.tool_calls:
                         if tool_call.id not in tool_calls_map:
@@ -262,18 +169,21 @@ class LocalAgentRunner(runner.RequestRunner):
                                 ),
                             )
                         if tool_call.function and tool_call.function.arguments:
+                            # 流式处理中，工具调用参数可能分多个chunk返回，需要追加而不是覆盖
                             tool_calls_map[tool_call.id].function.arguments += tool_call.function.arguments
-
+                # continue
+                # 每8个chunk或最后一个chunk时，输出所有累积的内容
                 if msg_idx % 8 == 0 or msg.is_final:
                     msg_sequence += 1
                     yield provider_message.MessageChunk(
                         role=last_role,
-                        content=accumulated_content,
+                        content=accumulated_content,  # 输出所有累积内容
                         tool_calls=list(tool_calls_map.values()) if (tool_calls_map and msg.is_final) else None,
                         is_final=msg.is_final,
                         msg_sequence=msg_sequence,
                     )
 
+            # 创建最终消息用于后续处理
             final_msg = provider_message.MessageChunk(
                 role=last_role,
                 content=accumulated_content,
@@ -288,8 +198,7 @@ class LocalAgentRunner(runner.RequestRunner):
 
         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)
+        # 持续请求，只要还有待处理的工具调用就继续处理调用
         while pending_tool_calls:
             for tool_call in pending_tool_calls:
                 try:
@@ -330,6 +239,7 @@ class LocalAgentRunner(runner.RequestRunner):
 
                     req_messages.append(msg)
                 except Exception as e:
+                    # 工具调用出错，添加一个报错信息到 req_messages
                     err_msg = provider_message.Message(role='tool', content=f'err: {e}', tool_call_id=tool_call.id)
 
                     yield err_msg
@@ -337,38 +247,39 @@ class LocalAgentRunner(runner.RequestRunner):
                     req_messages.append(err_msg)
 
             self.ap.logger.debug(
-                f'localagent req: query={query.query_id} req_messages={req_messages} '
-                f'use_llm_model={use_llm_model.model_entity.name}'
+                f'localagent req: query={query.query_id} req_messages={req_messages} use_llm_model={query.use_llm_model_uuid}'
             )
 
             if is_stream:
                 tool_calls_map = {}
                 msg_idx = 0
-                accumulated_content = ''
+                accumulated_content = ''  # 从开始累积的所有内容
                 last_role = 'assistant'
                 msg_sequence = first_end_sequence
 
-                tool_stream_src = use_llm_model.provider.invoke_llm_stream(
+                async for msg in use_llm_model.provider.invoke_llm_stream(
                     query,
                     use_llm_model,
                     req_messages,
-                    query.use_funcs if use_llm_model.model_entity.abilities.__contains__('func_call') else [],
+                    query.use_funcs,
                     extra_args=use_llm_model.model_entity.extra_args,
                     remove_think=remove_think,
-                )
-                async for msg in tool_stream_src:
+                ):
                     msg_idx += 1
 
+                    # 记录角色
                     if msg.role:
                         last_role = msg.role
 
-                    # Prepend first-round content on first chunk of tool-call round
+                    # 第一次请求工具调用时的内容
                     if msg_idx == 1:
                         accumulated_content = first_content if first_content is not None else accumulated_content
 
+                    # 累积内容
                     if msg.content:
                         accumulated_content += msg.content
 
+                    # 处理工具调用
                     if msg.tool_calls:
                         for tool_call in msg.tool_calls:
                             if tool_call.id not in tool_calls_map:
@@ -380,13 +291,15 @@ class LocalAgentRunner(runner.RequestRunner):
                                     ),
                                 )
                             if tool_call.function and tool_call.function.arguments:
+                                # 流式处理中，工具调用参数可能分多个chunk返回，需要追加而不是覆盖
                                 tool_calls_map[tool_call.id].function.arguments += tool_call.function.arguments
 
+                    # 每8个chunk或最后一个chunk时，输出所有累积的内容
                     if msg_idx % 8 == 0 or msg.is_final:
                         msg_sequence += 1
                         yield provider_message.MessageChunk(
                             role=last_role,
-                            content=accumulated_content,
+                            content=accumulated_content,  # 输出所有累积内容
                             tool_calls=list(tool_calls_map.values()) if (tool_calls_map and msg.is_final) else None,
                             is_final=msg.is_final,
                             msg_sequence=msg_sequence,
@@ -399,12 +312,12 @@ class LocalAgentRunner(runner.RequestRunner):
                     msg_sequence=msg_sequence,
                 )
             else:
-                # Non-streaming: use committed model directly (no fallback in tool loop)
+                # 处理完所有调用，再次请求
                 msg = await use_llm_model.provider.invoke_llm(
                     query,
                     use_llm_model,
                     req_messages,
-                    query.use_funcs if use_llm_model.model_entity.abilities.__contains__('func_call') else [],
+                    query.use_funcs,
                     extra_args=use_llm_model.model_entity.extra_args,
                     remove_think=remove_think,
                 )

src/langbot/pkg/rag/knowledge/kbmgr.py

@@ -321,19 +321,13 @@ class RuntimeKnowledgeBase(KnowledgeBaseInterface):
         if not plugin_id:
             raise ValueError(f'No RAG plugin ID configured for KB {kb.uuid}. Retrieval failed.')
 
-        # Session context (e.g. session_name) stays in retrieval_settings
-        # for plugins that need it. Do NOT move them into filters, as filters
-        # are passed directly to vector_search by some plugins (e.g. LangRAG)
-        # and would cause empty results when the metadata field doesn't exist.
-        filters = settings.pop('filters', {})
-
         retrieval_context = {
             'query': query,
             'knowledge_base_id': kb.uuid,
             'collection_id': kb.collection_id or kb.uuid,
             'retrieval_settings': settings,
             'creation_settings': kb.creation_settings or {},
-            'filters': filters,
+            'filters': settings.pop('filters', {}),
         }
 
         result = await self.ap.plugin_connector.call_rag_retrieve(

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

@@ -41,7 +41,6 @@ class RAGRuntimeService:
         filters: dict[str, Any] | None = None,
         search_type: str = 'vector',
         query_text: str = '',
-        vector_weight: float | None = None,
     ) -> list[dict[str, Any]]:
         """Handle VECTOR_SEARCH action."""
         return await self.ap.vector_db_mgr.search(
@@ -51,7 +50,6 @@ class RAGRuntimeService:
             filter=filters,
             search_type=search_type,
             query_text=query_text,
-            vector_weight=vector_weight,
         )
 
     async def vector_delete(
@@ -77,31 +75,6 @@ class RAGRuntimeService:
             count = await self.ap.vector_db_mgr.delete_by_filter(collection_name=collection_id, filter=filters)
         return count
 
-    async def vector_list(
-        self,
-        collection_id: str,
-        filters: dict[str, Any] | None = None,
-        limit: int = 20,
-        offset: int = 0,
-    ) -> tuple[list[dict[str, Any]], int]:
-        """Handle VECTOR_LIST action.
-
-        Args:
-            collection_id: The collection to list from.
-            filters: Optional metadata filters.
-            limit: Maximum number of items to return.
-            offset: Number of items to skip.
-
-        Returns:
-            Tuple of (items, total).
-        """
-        return await self.ap.vector_db_mgr.list_by_filter(
-            collection_name=collection_id,
-            filter=filters,
-            limit=limit,
-            offset=offset,
-        )
-
     async def get_file_stream(self, storage_path: str) -> bytes:
         """Handle GET_KNOWLEDEGE_FILE_STREAM action.
 

src/langbot/pkg/utils/constants.py

@@ -2,7 +2,7 @@ import langbot
 
 semantic_version = f'v{langbot.__version__}'
 
-required_database_version = 24
+required_database_version = 19
 """Tag the version of the database schema, used to check if the database needs to be migrated"""
 
 debug_mode = False

src/langbot/pkg/vector/filter_utils.py

@@ -49,25 +49,17 @@ def normalize_filter(
 def strip_unsupported_fields(
     triples: list[tuple[str, str, Any]],
     supported_fields: set[str],
-    field_aliases: dict[str, str] | None = None,
 ) -> list[tuple[str, str, Any]]:
     """Return only triples whose field is in *supported_fields*.
 
-    If *field_aliases* is provided, aliased field names are mapped to the
-    canonical backend name before the support check.  For example,
-    ``{'uuid': 'chunk_uuid'}`` allows callers to use ``uuid`` which is
-    transparently rewritten to ``chunk_uuid``.
-
     Dropped fields are logged at WARNING level so the caller knows they were
     silently ignored (useful for Milvus / pgvector which only store a fixed
     schema).
     """
-    aliases = field_aliases or {}
     kept: list[tuple[str, str, Any]] = []
     for field, op, value in triples:
-        resolved = aliases.get(field, field)
-        if resolved in supported_fields:
-            kept.append((resolved, op, value))
+        if field in supported_fields:
+            kept.append((field, op, value))
         else:
             logger.warning(
                 'Filter field %r is not supported by this backend and will be ignored (supported: %s)',

src/langbot/pkg/vector/mgr.py

@@ -97,11 +97,10 @@ class VectorDBManager:
         filter: dict | None = None,
         search_type: str = 'vector',
         query_text: str = '',
-        vector_weight: float | None = None,
     ) -> list[dict]:
         """Proxy: Search vectors.
 
-        Returns a list of dicts with keys: 'id', 'distance', 'metadata'.
+        Returns a list of dicts with keys: 'id', 'score', 'metadata'.
         The underlying VectorDatabase.search returns Chroma-style format:
         { 'ids': [['id1']], 'distances': [[0.1]], 'metadatas': [[{}]] }
         """
@@ -112,7 +111,6 @@ class VectorDBManager:
             search_type=search_type,
             query_text=query_text,
             filter=filter,
-            vector_weight=vector_weight,
         )
 
         if not results or 'ids' not in results or not results['ids']:
@@ -132,7 +130,7 @@ class VectorDBManager:
             parsed_results.append(
                 {
                     'id': id_val,
-                    'distance': r_dists[i] if r_dists and i < len(r_dists) else 0.0,
+                    'score': r_dists[i] if r_dists and i < len(r_dists) else 0.0,
                     'metadata': r_metas[i] if r_metas and i < len(r_metas) else {},
                 }
             )
@@ -159,17 +157,3 @@ class VectorDBManager:
             Number of deleted vectors (best-effort; some backends return 0).
         """
         return await self.vector_db.delete_by_filter(collection_name, filter)
-
-    async def list_by_filter(
-        self,
-        collection_name: str,
-        filter: dict | None = None,
-        limit: int = 20,
-        offset: int = 0,
-    ) -> tuple[list[dict], int]:
-        """Proxy: List vectors by metadata filter with pagination.
-
-        Returns:
-            Tuple of (items, total).
-        """
-        return await self.vector_db.list_by_filter(collection_name, filter, limit, offset)

src/langbot/pkg/vector/vdb.py

@@ -53,7 +53,6 @@ class VectorDatabase(abc.ABC):
         search_type: str = 'vector',
         query_text: str = '',
         filter: dict[str, Any] | None = None,
-        vector_weight: float | None = None,
     ) -> Dict[str, Any]:
         """Search for the most similar vectors in the specified collection.
 
@@ -71,8 +70,6 @@ class VectorDatabase(abc.ABC):
                     {"file_id": "abc"}
                     {"created_at": {"$gte": 1700000000}}
                     {"file_type": {"$in": ["pdf", "docx"]}}
-            vector_weight: Weight for vector search in hybrid mode (0.0–1.0).
-                ``None`` means use equal weights (backward compatible).
         """
         pass
 
@@ -95,28 +92,6 @@ class VectorDatabase(abc.ABC):
         """
         pass
 
-    async def list_by_filter(
-        self,
-        collection: str,
-        filter: dict[str, Any] | None = None,
-        limit: int = 20,
-        offset: int = 0,
-    ) -> tuple[list[dict[str, Any]], int]:
-        """List vectors matching the given metadata filter with pagination.
-
-        Args:
-            collection: Collection name.
-            filter: Optional metadata filter dict in canonical format.
-            limit: Maximum number of items to return.
-            offset: Number of items to skip.
-
-        Returns:
-            Tuple of (items, total) where items is a list of dicts with
-            keys 'id', 'document', 'metadata', and total is the best-effort
-            count of all matching vectors (-1 if unknown).
-        """
-        return [], -1
-
     @abc.abstractmethod
     async def get_or_create_collection(self, collection: str):
         """Get or create collection."""

src/langbot/pkg/vector/vdbs/chroma.py

@@ -2,14 +2,11 @@ from __future__ import annotations
 import asyncio
 from typing import Any
 from chromadb import PersistentClient
-from langbot.pkg.vector.vdb import VectorDatabase, SearchType
+from langbot.pkg.vector.vdb import VectorDatabase
 from langbot.pkg.core import app
 import chromadb
 import chromadb.errors
 
-# RRF smoothing constant (standard value from the literature)
-_RRF_K = 60
-
 
 class ChromaVectorDatabase(VectorDatabase):
     def __init__(self, ap: app.Application, base_path: str = './data/chroma'):
@@ -17,10 +14,6 @@ class ChromaVectorDatabase(VectorDatabase):
         self.client = PersistentClient(path=base_path)
         self._collections = {}
 
-    @classmethod
-    def supported_search_types(cls) -> list[SearchType]:
-        return [SearchType.VECTOR, SearchType.FULL_TEXT, SearchType.HYBRID]
-
     async def get_or_create_collection(self, collection: str) -> chromadb.Collection:
         if collection not in self._collections:
             self._collections[collection] = await asyncio.to_thread(
@@ -41,8 +34,8 @@ class ChromaVectorDatabase(VectorDatabase):
         kwargs: dict[str, Any] = dict(embeddings=embeddings_list, ids=ids, metadatas=metadatas)
         if documents is not None:
             kwargs['documents'] = documents
-        await asyncio.to_thread(col.upsert, **kwargs)
-        self.ap.logger.info(f"Upserted {len(ids)} embeddings to Chroma collection '{collection}'.")
+        await asyncio.to_thread(col.add, **kwargs)
+        self.ap.logger.info(f"Added {len(ids)} embeddings to Chroma collection '{collection}'.")
 
     async def search(
         self,
@@ -52,28 +45,8 @@ class ChromaVectorDatabase(VectorDatabase):
         search_type: str = 'vector',
         query_text: str = '',
         filter: dict[str, Any] | None = None,
-        vector_weight: float | None = None,
     ) -> dict[str, Any]:
         col = await self.get_or_create_collection(collection)
-
-        if search_type == SearchType.FULL_TEXT:
-            return await self._full_text_search(col, collection, k, query_text, filter)
-        elif search_type == SearchType.HYBRID:
-            return await self._hybrid_search(
-                col, collection, query_embedding, k, query_text, filter, vector_weight=vector_weight
-            )
-
-        # Default: vector search
-        return await self._vector_search(col, collection, query_embedding, k, filter)
-
-    async def _vector_search(
-        self,
-        col: chromadb.Collection,
-        collection: str,
-        query_embedding: list[float],
-        k: int,
-        filter: dict[str, Any] | None,
-    ) -> dict[str, Any]:
         query_kwargs: dict[str, Any] = dict(
             query_embeddings=query_embedding,
             n_results=k,
@@ -82,154 +55,9 @@ class ChromaVectorDatabase(VectorDatabase):
         if filter:
             query_kwargs['where'] = filter
         results = await asyncio.to_thread(col.query, **query_kwargs)
-        self.ap.logger.info(
-            f"Chroma vector search in '{collection}' returned {len(results.get('ids', [[]])[0])} results."
-        )
+        self.ap.logger.info(f"Chroma search in '{collection}' returned {len(results.get('ids', [[]])[0])} results.")
         return results
 
-    async def _full_text_search(
-        self,
-        col: chromadb.Collection,
-        collection: str,
-        k: int,
-        query_text: str,
-        filter: dict[str, Any] | None,
-    ) -> dict[str, Any]:
-        if not query_text:
-            return {'ids': [[]], 'metadatas': [[]], 'distances': [[]], 'documents': [[]]}
-
-        get_kwargs: dict[str, Any] = dict(
-            where_document={'$contains': query_text},
-            include=['metadatas', 'documents'],
-            limit=k,
-        )
-        if filter:
-            get_kwargs['where'] = filter
-        results = await asyncio.to_thread(col.get, **get_kwargs)
-
-        # col.get returns flat lists; wrap into column-major format.
-        # Distances are all 0.0 because Chroma's local $contains is a boolean
-        # filter with no relevance scoring.  Chroma's BM25 sparse embedding
-        # function (ChromaBm25EmbeddingFunction) can generate scored sparse
-        # vectors, but sparse vector *indexing* is only available on Chroma
-        # Cloud, not locally.  For ranked results, use hybrid mode or apply a
-        # reranker in a downstream stage.
-        ids = results.get('ids', [])
-        metadatas = results.get('metadatas', []) or [None] * len(ids)
-        documents = results.get('documents', []) or [None] * len(ids)
-        distances = [0.0] * len(ids)
-
-        self.ap.logger.info(f"Chroma full-text search in '{collection}' returned {len(ids)} results.")
-        return {'ids': [ids], 'metadatas': [metadatas], 'distances': [distances], 'documents': [documents]}
-
-    async def _hybrid_search(
-        self,
-        col: chromadb.Collection,
-        collection: str,
-        query_embedding: list[float],
-        k: int,
-        query_text: str,
-        filter: dict[str, Any] | None,
-        vector_weight: float | None = None,
-    ) -> dict[str, Any]:
-        # Fall back to pure vector search when no text is provided
-        if not query_text:
-            return await self._vector_search(col, collection, query_embedding, k, filter)
-
-        # Run vector search and full-text search in parallel
-        vector_task = self._vector_search(col, collection, query_embedding, k, filter)
-        text_task = self._full_text_search(col, collection, k, query_text, filter)
-        vector_results, text_results = await asyncio.gather(vector_task, text_task)
-
-        vector_ids = vector_results.get('ids', [[]])[0]
-        text_ids = text_results.get('ids', [[]])[0]
-
-        if not vector_ids and not text_ids:
-            return {'ids': [[]], 'metadatas': [[]], 'distances': [[]], 'documents': [[]]}
-
-        # RRF fusion
-        weights = None
-        if vector_weight is not None:
-            weights = [vector_weight, 1.0 - vector_weight]
-        self.ap.logger.info(
-            f"Chroma hybrid fusion config in '{collection}': "
-            f'vector_weight={vector_weight}, weights={weights or [1.0, 1.0]}, '
-            f'vector_hits={len(vector_ids)}, text_hits={len(text_ids)}'
-        )
-        fused = self._rrf_fuse([vector_ids, text_ids], k, weights=weights)
-        if not fused:
-            return {'ids': [[]], 'metadatas': [[]], 'distances': [[]], 'documents': [[]]}
-
-        fused_ids = [doc_id for doc_id, _ in fused]
-
-        # Fetch full metadata and documents for fused results
-        fetched = await asyncio.to_thread(col.get, ids=fused_ids, include=['metadatas', 'documents'])
-
-        # col.get returns results in arbitrary order; re-order to match fused ranking
-        fetched_map: dict[str, tuple] = {}
-        for i, fid in enumerate(fetched.get('ids', [])):
-            meta = (fetched.get('metadatas') or [None] * len(fetched['ids']))[i]
-            doc = (fetched.get('documents') or [None] * len(fetched['ids']))[i]
-            fetched_map[fid] = (meta, doc)
-
-        ordered_ids = []
-        ordered_metas = []
-        ordered_docs = []
-        ordered_dists = []
-
-        # Normalize RRF scores to 0~1 distances via min-max scaling.
-        # Raw RRF scores are tiny (e.g. 0.016~0.033 with k=60) so a naive
-        # ``1 - score`` would compress all distances into a narrow 0.96~0.98
-        # band with almost no discriminative power.  Min-max normalization
-        # spreads them across the full 0~1 range (0.0 = best match).
-        max_score = fused[0][1]
-        min_score = fused[-1][1]
-        score_range = max_score - min_score
-
-        for doc_id, score in fused:
-            if doc_id in fetched_map:
-                meta, doc = fetched_map[doc_id]
-                ordered_ids.append(doc_id)
-                ordered_metas.append(meta)
-                ordered_docs.append(doc)
-                if score_range > 0:
-                    ordered_dists.append(1.0 - (score - min_score) / score_range)
-                else:
-                    ordered_dists.append(0.0)
-
-        self.ap.logger.info(
-            f"Chroma hybrid search in '{collection}' returned {len(ordered_ids)} results "
-            f'(vector={len(vector_ids)}, text={len(text_ids)}).'
-        )
-        return {
-            'ids': [ordered_ids],
-            'metadatas': [ordered_metas],
-            'distances': [ordered_dists],
-            'documents': [ordered_docs],
-        }
-
-    @staticmethod
-    def _rrf_fuse(result_lists: list[list[str]], k: int, weights: list[float] | None = None) -> list[tuple[str, float]]:
-        """Reciprocal Rank Fusion over multiple ranked ID lists.
-
-        Returns a list of (doc_id, rrf_score) sorted by descending score,
-        truncated to *k* entries.
-
-        Args:
-            result_lists: Ranked ID lists from different search methods.
-            k: Number of results to return.
-            weights: Per-list weights.  ``None`` means equal weight (1.0 each).
-        """
-        if weights is None:
-            weights = [1.0] * len(result_lists)
-        scores: dict[str, float] = {}
-        for list_idx, ranked_ids in enumerate(result_lists):
-            w = weights[list_idx]
-            for rank, doc_id in enumerate(ranked_ids):
-                scores[doc_id] = scores.get(doc_id, 0.0) + w / (_RRF_K + rank + 1)
-        sorted_results = sorted(scores.items(), key=lambda x: x[1], reverse=True)
-        return sorted_results[:k]
-
     async def delete_by_file_id(self, collection: str, file_id: str) -> None:
         col = await self.get_or_create_collection(collection)
         await asyncio.to_thread(col.delete, where={'file_id': file_id})
@@ -241,41 +69,6 @@ class ChromaVectorDatabase(VectorDatabase):
         self.ap.logger.info(f"Deleted embeddings from Chroma collection '{collection}' by filter")
         return 0  # Chroma delete does not return a count
 
-    async def list_by_filter(
-        self,
-        collection: str,
-        filter: dict[str, Any] | None = None,
-        limit: int = 20,
-        offset: int = 0,
-    ) -> tuple[list[dict[str, Any]], int]:
-        col = await self.get_or_create_collection(collection)
-        get_kwargs: dict[str, Any] = dict(
-            include=['metadatas', 'documents'],
-            limit=limit,
-            offset=offset,
-        )
-        if filter:
-            get_kwargs['where'] = filter
-        results = await asyncio.to_thread(col.get, **get_kwargs)
-
-        ids = results.get('ids', [])
-        metadatas = results.get('metadatas', []) or [None] * len(ids)
-        documents = results.get('documents', []) or [None] * len(ids)
-
-        items = []
-        for i, vid in enumerate(ids):
-            items.append(
-                {
-                    'id': vid,
-                    'document': documents[i] if i < len(documents) else None,
-                    'metadata': metadatas[i] if i < len(metadatas) else {},
-                }
-            )
-
-        # Chroma col.count() gives total in collection; filtered count not available
-        total = await asyncio.to_thread(col.count) if not filter else -1
-        return items, total
-
     async def delete_collection(self, collection: str):
         if collection in self._collections:
             del self._collections[collection]

src/langbot/pkg/vector/vdbs/milvus.py

@@ -11,14 +11,11 @@ from langbot.pkg.core import app
 # silently dropped with a warning.
 _MILVUS_SUPPORTED_FIELDS = {'text', 'file_id', 'chunk_uuid'}
 
-# Callers use canonical metadata key 'uuid' but Milvus stores it as 'chunk_uuid'.
-_MILVUS_FIELD_ALIASES = {'uuid': 'chunk_uuid'}
-
 
 def _build_milvus_expr(filter_dict: dict[str, Any]) -> str:
     """Translate canonical filter dict into a Milvus boolean expression string."""
     triples = normalize_filter(filter_dict)
-    triples = strip_unsupported_fields(triples, _MILVUS_SUPPORTED_FIELDS, _MILVUS_FIELD_ALIASES)
+    triples = strip_unsupported_fields(triples, _MILVUS_SUPPORTED_FIELDS)
     if not triples:
         return ''
 
@@ -255,7 +252,6 @@ class MilvusVectorDatabase(VectorDatabase):
         search_type: str = 'vector',
         query_text: str = '',
         filter: dict[str, Any] | None = None,
-        vector_weight: float | None = None,
     ) -> Dict[str, Any]:
         """Search for similar vectors in Milvus collection
 
@@ -344,62 +340,6 @@ class MilvusVectorDatabase(VectorDatabase):
         self.ap.logger.info(f"Deleted embeddings from Milvus collection '{collection}' by filter")
         return 0  # Milvus delete does not return a count
 
-    async def list_by_filter(
-        self,
-        collection: str,
-        filter: dict[str, Any] | None = None,
-        limit: int = 20,
-        offset: int = 0,
-    ) -> tuple[list[dict[str, Any]], int]:
-        collection = self._normalize_collection_name(collection)
-        await self.get_or_create_collection(collection)
-
-        query_kwargs: dict[str, Any] = dict(
-            collection_name=collection,
-            output_fields=['text', 'file_id', 'chunk_uuid'],
-            limit=limit,
-            offset=offset,
-        )
-        if filter:
-            expr = _build_milvus_expr(filter)
-            if expr:
-                query_kwargs['filter'] = expr
-
-        results = await asyncio.to_thread(self.client.query, **query_kwargs)
-
-        items = []
-        for row in results:
-            items.append(
-                {
-                    'id': row.get('id', ''),
-                    'document': row.get('text'),
-                    'metadata': {
-                        'text': row.get('text', ''),
-                        'file_id': row.get('file_id', ''),
-                        'uuid': row.get('chunk_uuid', ''),
-                    },
-                }
-            )
-
-        # Milvus query with count(*)
-        total = -1
-        try:
-            count_kwargs: dict[str, Any] = dict(
-                collection_name=collection,
-                output_fields=['count(*)'],
-            )
-            if filter:
-                expr = _build_milvus_expr(filter)
-                if expr:
-                    count_kwargs['filter'] = expr
-            count_result = await asyncio.to_thread(self.client.query, **count_kwargs)
-            if count_result:
-                total = count_result[0].get('count(*)', -1)
-        except Exception:
-            pass
-
-        return items, total
-
     async def delete_collection(self, collection: str):
         """Delete a Milvus collection
 

src/langbot/pkg/vector/vdbs/pgvector_db.py

@@ -13,9 +13,6 @@ Base = declarative_base()
 # pgvector schema only stores these metadata fields.
 _PG_SUPPORTED_FIELDS = {'text', 'file_id', 'chunk_uuid'}
 
-# Callers use canonical metadata key 'uuid' but pgvector stores it as 'chunk_uuid'.
-_PG_FIELD_ALIASES = {'uuid': 'chunk_uuid'}
-
 # Map schema field names to SQLAlchemy columns (resolved lazily from PgVectorEntry).
 _PG_COLUMN_MAP = {
     'text': 'text',
@@ -40,7 +37,7 @@ class PgVectorEntry(Base):
 def _build_pg_conditions(filter_dict: dict[str, Any]) -> list:
     """Translate canonical filter dict into a list of SQLAlchemy conditions."""
     triples = normalize_filter(filter_dict)
-    triples = strip_unsupported_fields(triples, _PG_SUPPORTED_FIELDS, _PG_FIELD_ALIASES)
+    triples = strip_unsupported_fields(triples, _PG_SUPPORTED_FIELDS)
 
     conditions = []
     for field, op, value in triples:
@@ -192,7 +189,6 @@ class PgVectorDatabase(VectorDatabase):
         search_type: str = 'vector',
         query_text: str = '',
         filter: dict[str, Any] | None = None,
-        vector_weight: float | None = None,
     ) -> Dict[str, Any]:
         """Search for similar vectors using cosine distance
 
@@ -313,65 +309,6 @@ class PgVectorDatabase(VectorDatabase):
                 self.ap.logger.error(f'Error deleting from pgvector by filter: {e}')
                 raise
 
-    async def list_by_filter(
-        self,
-        collection: str,
-        filter: dict[str, Any] | None = None,
-        limit: int = 20,
-        offset: int = 0,
-    ) -> tuple[list[dict[str, Any]], int]:
-        await self.get_or_create_collection(collection)
-
-        async with self.AsyncSessionLocal() as session:
-            try:
-                from sqlalchemy import select, func
-
-                stmt = (
-                    select(
-                        PgVectorEntry.id,
-                        PgVectorEntry.text,
-                        PgVectorEntry.file_id,
-                        PgVectorEntry.chunk_uuid,
-                    )
-                    .filter(PgVectorEntry.collection == collection)
-                    .offset(offset)
-                    .limit(limit)
-                )
-
-                count_stmt = (
-                    select(func.count()).select_from(PgVectorEntry).filter(PgVectorEntry.collection == collection)
-                )
-
-                if filter:
-                    for cond in _build_pg_conditions(filter):
-                        stmt = stmt.filter(cond)
-                        count_stmt = count_stmt.filter(cond)
-
-                result = await session.execute(stmt)
-                rows = result.fetchall()
-
-                count_result = await session.execute(count_stmt)
-                total = count_result.scalar() or 0
-
-                items = []
-                for row in rows:
-                    items.append(
-                        {
-                            'id': row.id,
-                            'document': row.text or '',
-                            'metadata': {
-                                'text': row.text or '',
-                                'file_id': row.file_id or '',
-                                'uuid': row.chunk_uuid or '',
-                            },
-                        }
-                    )
-
-                return items, total
-            except Exception as e:
-                self.ap.logger.error(f'Error listing from pgvector: {e}')
-                raise
-
     async def delete_collection(self, collection: str):
         """Delete all vectors in a collection
 

src/langbot/pkg/vector/vdbs/qdrant.py

@@ -100,7 +100,6 @@ class QdrantVectorDatabase(VectorDatabase):
         search_type: str = 'vector',
         query_text: str = '',
         filter: dict[str, Any] | None = None,
-        vector_weight: float | None = None,
     ) -> dict[str, Any]:
         exists = await self.client.collection_exists(collection)
         if not exists:
@@ -151,97 +150,6 @@ class QdrantVectorDatabase(VectorDatabase):
         self.ap.logger.info(f"Deleted embeddings from Qdrant collection '{collection}' by filter")
         return 0  # Qdrant delete does not return a count
 
-    async def list_by_filter(
-        self,
-        collection: str,
-        filter: dict[str, Any] | None = None,
-        limit: int = 20,
-        offset: int = 0,
-    ) -> tuple[list[dict[str, Any]], int]:
-        exists = await self.client.collection_exists(collection)
-        if not exists:
-            return [], 0
-
-        qdrant_filter = _build_qdrant_filter(filter) if filter else None
-
-        # Qdrant scroll uses cursor-based pagination (offset = point ID),
-        # not numeric skip.  To support numeric offset we scroll through
-        # `offset + limit` items and discard the first `offset`.
-        remaining_to_skip = offset
-        remaining_to_collect = limit
-        cursor: int | str | None = None
-        collected: list[dict[str, Any]] = []
-
-        while remaining_to_skip > 0 or remaining_to_collect > 0:
-            batch_size = remaining_to_skip + remaining_to_collect if remaining_to_skip > 0 else remaining_to_collect
-            scroll_kwargs: dict[str, Any] = dict(
-                collection_name=collection,
-                limit=min(batch_size, 256),
-                with_payload=True if remaining_to_skip == 0 else False,
-                with_vectors=False,
-            )
-            if qdrant_filter:
-                scroll_kwargs['scroll_filter'] = qdrant_filter
-            if cursor is not None:
-                scroll_kwargs['offset'] = cursor
-
-            points, next_cursor = await self.client.scroll(**scroll_kwargs)
-            if not points:
-                break
-
-            for point in points:
-                if remaining_to_skip > 0:
-                    remaining_to_skip -= 1
-                    continue
-                if remaining_to_collect <= 0:
-                    break
-                # Re-fetch payload if we skipped it during the skip phase
-                payload = point.payload or {}
-                collected.append(
-                    {
-                        'id': str(point.id),
-                        'document': payload.get('text') or payload.get('document'),
-                        'metadata': payload,
-                    }
-                )
-                remaining_to_collect -= 1
-
-            if next_cursor is None:
-                break
-            cursor = next_cursor
-
-        # If we skipped without payload, re-fetch the collected items' payloads
-        # (only needed when offset > 0 and items were collected in a skip batch)
-        if offset > 0 and collected:
-            refetch_ids = [item['id'] for item in collected if not item.get('metadata')]
-            if refetch_ids:
-                fetched_points = await self.client.retrieve(
-                    collection_name=collection,
-                    ids=refetch_ids,
-                    with_payload=True,
-                    with_vectors=False,
-                )
-                payload_map = {str(p.id): p.payload or {} for p in fetched_points}
-                for item in collected:
-                    if item['id'] in payload_map:
-                        payload = payload_map[item['id']]
-                        item['metadata'] = payload
-                        item['document'] = payload.get('text') or payload.get('document')
-
-        # Use count() for accurate total (supports filter)
-        total = -1
-        try:
-            count_result = await self.client.count(
-                collection_name=collection,
-                count_filter=qdrant_filter,
-                exact=True,
-            )
-            total = count_result.count
-        except Exception:
-            pass
-
-        return collected, total
-
     async def delete_collection(self, collection: str):
         try:
             await self.client.delete_collection(collection)

src/langbot/pkg/vector/vdbs/seekdb.py

@@ -1,8 +1,6 @@
 from __future__ import annotations
 
 import asyncio
-from decimal import Decimal
-import re
 from typing import Any, Dict, List
 
 
@@ -103,28 +101,8 @@ class SeekDBVectorDatabase(VectorDatabase):
             }
         )
 
-    def _normalize_collection_name(self, collection: str) -> str:
-        """SeekDB only accepts [a-zA-Z0-9_], while LangBot uses UUID-like KB IDs."""
-        normalized = re.sub(r'[^A-Za-z0-9_]', '_', collection)
-        if normalized != collection:
-            self.ap.logger.info(f"Normalized SeekDB collection name: '{collection}' -> '{normalized}'")
-        return normalized
-
-    def _json_safe(self, value: Any) -> Any:
-        """Convert SeekDB result values into JSON-serializable Python primitives."""
-        if isinstance(value, Decimal):
-            return float(value)
-        if isinstance(value, dict):
-            return {k: self._json_safe(v) for k, v in value.items()}
-        if isinstance(value, list):
-            return [self._json_safe(v) for v in value]
-        if isinstance(value, tuple):
-            return [self._json_safe(v) for v in value]
-        return value
-
     async def _get_or_create_collection_internal(self, collection: str, vector_size: int = None) -> Any:
         """Internal method to get or create a collection with proper configuration."""
-        collection = self._normalize_collection_name(collection)
         if collection in self._collections:
             return self._collections[collection]
 
@@ -195,7 +173,6 @@ class SeekDBVectorDatabase(VectorDatabase):
         if not embeddings_list:
             return
 
-        collection = self._normalize_collection_name(collection)
         # Ensure collection exists with correct dimension
         vector_size = len(embeddings_list[0])
         coll = await self._get_or_create_collection_internal(collection, vector_size)
@@ -217,7 +194,6 @@ class SeekDBVectorDatabase(VectorDatabase):
         search_type: str = 'vector',
         query_text: str = '',
         filter: Dict[str, Any] | None = None,
-        vector_weight: float | None = None,
     ) -> Dict[str, Any]:
         """Search for the most similar vectors in the specified collection.
 
@@ -234,7 +210,6 @@ class SeekDBVectorDatabase(VectorDatabase):
         Returns:
             Dictionary with 'ids', 'metadatas', 'distances' keys
         """
-        collection = self._normalize_collection_name(collection)
         # Check if collection exists
         exists = await asyncio.to_thread(self.client.has_collection, collection)
         if not exists:
@@ -296,17 +271,6 @@ class SeekDBVectorDatabase(VectorDatabase):
                     query_cfg['where'] = filter
                     knn_cfg['where'] = filter
 
-                # Apply vector_weight via pyseekdb's native boost parameter
-                if vector_weight is not None:
-                    knn_cfg['boost'] = vector_weight
-                    query_cfg['boost'] = 1.0 - vector_weight
-                self.ap.logger.info(
-                    f"SeekDB hybrid fusion config in '{collection}': "
-                    f'vector_weight={vector_weight}, '
-                    f'knn_boost={knn_cfg.get("boost", 1.0)}, '
-                    f'query_boost={query_cfg.get("boost", 1.0)}'
-                )
-
                 results = await asyncio.to_thread(
                     coll.hybrid_search,
                     query=query_cfg,
@@ -315,9 +279,6 @@ class SeekDBVectorDatabase(VectorDatabase):
                     n_results=k,
                     include=['documents', 'metadatas'],
                 )
-                self.ap.logger.info(
-                    f"SeekDB hybrid search in '{collection}' returned {len(results.get('ids', [[]])[0])} results."
-                )
         else:
             # Default: vector search via query()
             query_kwargs = {'n_results': k, 'query_embeddings': query_embedding}
@@ -325,7 +286,6 @@ class SeekDBVectorDatabase(VectorDatabase):
                 query_kwargs['where'] = filter
             results = await asyncio.to_thread(coll.query, **query_kwargs)
 
-        results = self._json_safe(results)
         self.ap.logger.info(
             f"SeekDB {search_type} search in '{collection}' returned {len(results.get('ids', [[]])[0])} results"
         )
@@ -339,7 +299,6 @@ class SeekDBVectorDatabase(VectorDatabase):
             collection: Collection name
             file_id: File ID to delete
         """
-        collection = self._normalize_collection_name(collection)
         # Check if collection exists
         exists = await asyncio.to_thread(self.client.has_collection, collection)
         if not exists:
@@ -366,7 +325,6 @@ class SeekDBVectorDatabase(VectorDatabase):
             collection: Collection name
             filter: Chroma-style ``where`` filter dict
         """
-        collection = self._normalize_collection_name(collection)
         exists = await asyncio.to_thread(self.client.has_collection, collection)
         if not exists:
             self.ap.logger.warning(f"SeekDB collection '{collection}' not found for deletion")
@@ -382,59 +340,12 @@ class SeekDBVectorDatabase(VectorDatabase):
         self.ap.logger.info(f"Deleted embeddings from SeekDB collection '{collection}' by filter")
         return 0  # SeekDB delete does not return a count
 
-    async def list_by_filter(
-        self,
-        collection: str,
-        filter: Dict[str, Any] | None = None,
-        limit: int = 20,
-        offset: int = 0,
-    ) -> tuple[list[Dict[str, Any]], int]:
-        collection = self._normalize_collection_name(collection)
-        exists = await asyncio.to_thread(self.client.has_collection, collection)
-        if not exists:
-            return [], 0
-
-        if collection not in self._collections:
-            coll = await asyncio.to_thread(self.client.get_collection, collection, embedding_function=None)
-            self._collections[collection] = coll
-        else:
-            coll = self._collections[collection]
-
-        get_kwargs: Dict[str, Any] = dict(
-            include=['metadatas', 'documents'],
-            limit=limit,
-            offset=offset,
-        )
-        if filter:
-            get_kwargs['where'] = filter
-
-        results = await asyncio.to_thread(coll.get, **get_kwargs)
-
-        results = self._json_safe(results)
-        ids = results.get('ids', [])
-        metadatas = results.get('metadatas', []) or [None] * len(ids)
-        documents = results.get('documents', []) or [None] * len(ids)
-
-        items = []
-        for i, vid in enumerate(ids):
-            items.append(
-                {
-                    'id': vid,
-                    'document': documents[i] if i < len(documents) else None,
-                    'metadata': metadatas[i] if i < len(metadatas) else {},
-                }
-            )
-
-        total = await asyncio.to_thread(coll.count) if not filter else -1
-        return items, total
-
     async def delete_collection(self, collection: str):
         """Delete the entire collection.
 
         Args:
             collection: Collection name
         """
-        collection = self._normalize_collection_name(collection)
         # Remove from cache
         if collection in self._collections:
             del self._collections[collection]

src/langbot/templates/config.yaml

@@ -2,7 +2,6 @@ admins: []
 api:
     port: 5300
     webhook_prefix: 'http://127.0.0.1:5300'
-    extra_webhook_prefix: ''
 command:
     enable: true
     prefix:
@@ -16,7 +15,6 @@ proxy:
     http: ''
     https: ''
 system:
-    instance_id: ''
     edition: community
     recovery_key: ''
     allow_modify_login_info: true

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

@@ -41,10 +41,7 @@
             "runner": "local-agent"
         },
         "local-agent": {
-            "model": {
-                "primary": "",
-                "fallbacks": []
-            },
+            "model": "",
             "max-round": 10,
             "prompt": [
                 {
@@ -98,12 +95,11 @@
             "max": 0
         },
         "misc": {
-            "exception-handling": "show-hint",
-            "failure-hint": "Request failed.",
+            "hide-exception": true,
             "at-sender": true,
             "quote-origin": true,
             "track-function-calls": false,
             "remove-think": false
         }
     }
-}
+}

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

@@ -59,11 +59,8 @@ stages:
         label:
           en_US: Model
           zh_Hans: 模型
-        type: model-fallback-selector
+        type: llm-model-selector
         required: true
-        default:
-          primary: ''
-          fallbacks: []
       - name: max-round
         label:
           en_US: Max Round

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

@@ -37,6 +37,10 @@ stages:
             label:
               en_US: Convert to Image
               zh_Hans: 转换为图片
+          - name: split
+            label:
+              en_US: Split into Multiple Messages
+              zh_Hans: 分割为多条消息发送
           - name: none
             label:
               en_US: None
@@ -78,39 +82,13 @@ stages:
       en_US: Misc
       zh_Hans: 杂项
     config:
-      - name: exception-handling
+      - name: hide-exception
         label:
-          en_US: Exception Handling Strategy
-          zh_Hans: 异常处理策略
-        description:
-          en_US: Controls how error messages are displayed to the user when an AI request fails
-          zh_Hans: 控制 AI 请求失败时向用户展示错误信息的方式
-        type: select
+          en_US: Hide Exception
+          zh_Hans: 不输出异常信息给用户
+        type: boolean
         required: true
-        default: show-hint
-        options:
-          - name: show-error
-            label:
-              en_US: Show Full Error
-              zh_Hans: 显示完整报错信息
-          - name: show-hint
-            label:
-              en_US: Show Failure Hint
-              zh_Hans: 仅文字提示
-          - name: hide
-            label:
-              en_US: Hide All
-              zh_Hans: 不显示任何异常信息
-      - name: failure-hint
-        label:
-          en_US: Failure Hint Text
-          zh_Hans: 失败提示文本
-        description:
-          en_US: The text to display when a request fails. Only effective when Exception Handling Strategy is set to "Show Failure Hint"
-          zh_Hans: 请求失败时显示的提示文本，仅在异常处理策略设置为"仅文字提示"时生效
-        type: string
-        required: false
-        default: 'Request failed.'
+        default: true
       - name: at-sender
         label:
           en_US: At Sender
@@ -145,4 +123,3 @@ stages:
         type: boolean
         required: true
         default: false
-

src/langbot/templates/metadata/sensitive-words.json

@@ -2,5 +2,77 @@
     "说明": "mask将替换敏感词中的每一个字，若mask_word值不为空，则将敏感词整个替换为mask_word的值",
     "mask": "*",
     "mask_word": "",
-    "words": []
+    "words": [
+        "习近平",
+        "胡锦涛",
+        "江泽民",
+        "温家宝",
+        "李克强",
+        "李长春",
+        "毛泽东",
+        "邓小平",
+        "周恩来",
+        "马克思",
+        "社会主义",
+        "共产党",
+        "共产主义",
+        "大陆官方",
+        "北京政权",
+        "中华帝国",
+        "中国政府",
+        "共狗",
+        "六四事件",
+        "天安门",
+        "六四",
+        "政治局常委",
+        "两会",
+        "共青团",
+        "学潮",
+        "八九",
+        "二十大",
+        "民进党",
+        "台独",
+        "台湾独立",
+        "台湾国",
+        "国民党",
+        "台湾民国",
+        "中华民国",
+        "pornhub",
+        "Pornhub",
+        "[Yy]ou[Pp]orn",
+        "porn",
+        "Porn",
+        "[Xx][Vv]ideos",
+        "[Rr]ed[Tt]ube",
+        "[Xx][Hh]amster",
+        "[Ss]pank[Ww]ire",
+        "[Ss]pank[Bb]ang",
+        "[Tt]ube8",
+        "[Yy]ou[Jj]izz",
+        "[Bb]razzers",
+        "[Nn]aughty[ ]?[Aa]merica",
+        "作爱",
+        "做爱",
+        "性交",
+        "性爱",
+        "自慰",
+        "阴茎",
+        "淫妇",
+        "肛交",
+        "交配",
+        "性关系",
+        "性活动",
+        "色情",
+        "色图",
+        "涩图",
+        "裸体",
+        "小穴",
+        "淫荡",
+        "性爱",
+        "翻墙",
+        "VPN",
+        "科学上网",
+        "挂梯子",
+        "GFW"
+    ]
 }

tests/unit_tests/config/test_webhook_display_prefix.py

@@ -91,15 +91,14 @@ class TestWebhookDisplayPrefix:
 
     def test_default_webhook_prefix(self):
         """Test that the default webhook display prefix is correctly set"""
-        cfg = {'api': {'port': 5300, 'webhook_prefix': 'http://127.0.0.1:5300', 'extra_webhook_prefix': ''}}
+        cfg = {'api': {'port': 5300, 'webhook_prefix': 'http://127.0.0.1:5300'}}
 
         # Should have the default value
         assert cfg['api']['webhook_prefix'] == 'http://127.0.0.1:5300'
-        assert cfg['api']['extra_webhook_prefix'] == ''
 
     def test_webhook_prefix_env_override(self):
         """Test overriding webhook_prefix via environment variable"""
-        cfg = {'api': {'port': 5300, 'webhook_prefix': 'http://127.0.0.1:5300', 'extra_webhook_prefix': ''}}
+        cfg = {'api': {'port': 5300, 'webhook_prefix': 'http://127.0.0.1:5300'}}
 
         # Set environment variable
         os.environ['API__WEBHOOK_PREFIX'] = 'https://example.com:8080'
@@ -113,7 +112,7 @@ class TestWebhookDisplayPrefix:
 
     def test_webhook_prefix_with_custom_domain(self):
         """Test webhook_prefix with custom domain"""
-        cfg = {'api': {'port': 5300, 'webhook_prefix': 'http://127.0.0.1:5300', 'extra_webhook_prefix': ''}}
+        cfg = {'api': {'port': 5300, 'webhook_prefix': 'http://127.0.0.1:5300'}}
 
         # Set to a custom domain
         os.environ['API__WEBHOOK_PREFIX'] = 'https://bot.mycompany.com'
@@ -127,7 +126,7 @@ class TestWebhookDisplayPrefix:
 
     def test_webhook_prefix_with_subdirectory(self):
         """Test webhook_prefix with subdirectory path"""
-        cfg = {'api': {'port': 5300, 'webhook_prefix': 'http://127.0.0.1:5300', 'extra_webhook_prefix': ''}}
+        cfg = {'api': {'port': 5300, 'webhook_prefix': 'http://127.0.0.1:5300'}}
 
         # Set to a URL with subdirectory
         os.environ['API__WEBHOOK_PREFIX'] = 'https://example.com/langbot'
@@ -139,37 +138,6 @@ class TestWebhookDisplayPrefix:
         # Cleanup
         del os.environ['API__WEBHOOK_PREFIX']
 
-    def test_extra_webhook_prefix_default_empty(self):
-        """Test that extra_webhook_prefix defaults to empty string"""
-        cfg = {'api': {'port': 5300, 'webhook_prefix': 'http://127.0.0.1:5300', 'extra_webhook_prefix': ''}}
-
-        bot_uuid = 'test-bot-uuid'
-        webhook_prefix = cfg['api'].get('webhook_prefix', 'http://127.0.0.1:5300')
-        extra_webhook_prefix = cfg['api'].get('extra_webhook_prefix', '')
-        webhook_url = f'/bots/{bot_uuid}'
-
-        assert f'{webhook_prefix}{webhook_url}' == 'http://127.0.0.1:5300/bots/test-bot-uuid'
-        # extra should be empty when not configured
-        assert extra_webhook_prefix == ''
-
-    def test_extra_webhook_prefix_env_override(self):
-        """Test overriding extra_webhook_prefix via environment variable"""
-        cfg = {'api': {'port': 5300, 'webhook_prefix': 'http://127.0.0.1:5300', 'extra_webhook_prefix': ''}}
-
-        os.environ['API__EXTRA_WEBHOOK_PREFIX'] = 'https://extra.example.com'
-
-        result = _apply_env_overrides_to_config(cfg)
-
-        assert result['api']['extra_webhook_prefix'] == 'https://extra.example.com'
-
-        bot_uuid = 'test-bot-uuid'
-        extra_prefix = result['api']['extra_webhook_prefix']
-        webhook_url = f'/bots/{bot_uuid}'
-        assert f'{extra_prefix}{webhook_url}' == 'https://extra.example.com/bots/test-bot-uuid'
-
-        # Cleanup
-        del os.environ['API__EXTRA_WEBHOOK_PREFIX']
-
 
 if __name__ == '__main__':
     pytest.main([__file__, '-v'])

tests/unit_tests/pipeline/conftest.py

@@ -194,7 +194,7 @@ def sample_query(sample_message_chain, sample_message_event, mock_adapter):
         pipeline_config={
             'ai': {
                 'runner': {'runner': 'local-agent'},
-                'local-agent': {'model': {'primary': 'test-model-uuid', 'fallbacks': []}, 'prompt': 'test-prompt'},
+                'local-agent': {'model': 'test-model-uuid', 'prompt': 'test-prompt'},
             },
             'output': {'misc': {'at-sender': False, 'quote-origin': False}},
             'trigger': {'misc': {'combine-quote-message': False}},
@@ -219,7 +219,7 @@ def sample_pipeline_config():
     return {
         'ai': {
             'runner': {'runner': 'local-agent'},
-            'local-agent': {'model': {'primary': 'test-model-uuid', 'fallbacks': []}, 'prompt': 'test-prompt'},
+            'local-agent': {'model': 'test-model-uuid', 'prompt': 'test-prompt'},
         },
         'output': {'misc': {'at-sender': False, 'quote-origin': False}},
         'trigger': {'misc': {'combine-quote-message': False}},

tests/unit_tests/pipeline/test_config_coercion.py

@@ -1,113 +0,0 @@
-"""Unit tests for config_coercion module"""
-
-from __future__ import annotations
-
-import pytest
-
-from langbot.pkg.pipeline.config_coercion import _coerce_value, coerce_pipeline_config
-
-
-class TestCoerceValue:
-    """Tests for _coerce_value function"""
-
-    def test_none_passthrough(self):
-        assert _coerce_value(None, 'integer') is None
-        assert _coerce_value(None, 'boolean') is None
-
-    def test_string_to_integer(self):
-        assert _coerce_value('120', 'integer') == 120
-        assert _coerce_value('0', 'integer') == 0
-        assert _coerce_value('-5', 'integer') == -5
-
-    def test_integer_passthrough(self):
-        assert _coerce_value(42, 'integer') == 42
-
-    def test_string_to_float(self):
-        assert _coerce_value('3.14', 'number') == 3.14
-        assert _coerce_value('3.14', 'float') == 3.14
-
-    def test_int_to_float(self):
-        assert _coerce_value(3, 'number') == 3.0
-        assert isinstance(_coerce_value(3, 'number'), float)
-
-    def test_float_passthrough(self):
-        assert _coerce_value(3.14, 'float') == 3.14
-
-    def test_string_to_bool(self):
-        assert _coerce_value('true', 'boolean') is True
-        assert _coerce_value('True', 'boolean') is True
-        assert _coerce_value('false', 'boolean') is False
-        assert _coerce_value('False', 'boolean') is False
-
-    def test_bool_passthrough(self):
-        assert _coerce_value(True, 'boolean') is True
-        assert _coerce_value(False, 'boolean') is False
-
-    def test_invalid_bool_string_raises(self):
-        with pytest.raises(ValueError):
-            _coerce_value('notabool', 'boolean')
-
-    def test_unknown_type_passthrough(self):
-        assert _coerce_value('hello', 'string') == 'hello'
-        assert _coerce_value('hello', 'unknown') == 'hello'
-
-    def test_invalid_integer_raises(self):
-        with pytest.raises(ValueError):
-            _coerce_value('abc', 'integer')
-
-
-class TestCoercePipelineConfig:
-    """Tests for coerce_pipeline_config function"""
-
-    def _make_meta(self, section_name: str, stage_name: str, fields: list[dict]) -> dict:
-        return {
-            'name': section_name,
-            'stages': [{'name': stage_name, 'config': fields}],
-        }
-
-    def test_coerce_integer_in_config(self):
-        config = {'trigger': {'misc': {'timeout': '120'}}}
-        meta = self._make_meta('trigger', 'misc', [{'name': 'timeout', 'type': 'integer'}])
-        coerce_pipeline_config(config, meta)
-        assert config['trigger']['misc']['timeout'] == 120
-
-    def test_coerce_boolean_in_config(self):
-        config = {'output': {'misc': {'at-sender': 'true'}}}
-        meta = self._make_meta('output', 'misc', [{'name': 'at-sender', 'type': 'boolean'}])
-        coerce_pipeline_config(config, meta)
-        assert config['output']['misc']['at-sender'] is True
-
-    def test_missing_section_skipped(self):
-        config = {'ai': {}}
-        meta = self._make_meta('trigger', 'misc', [{'name': 'x', 'type': 'integer'}])
-        coerce_pipeline_config(config, meta)  # should not raise
-
-    def test_missing_field_skipped(self):
-        config = {'trigger': {'misc': {}}}
-        meta = self._make_meta('trigger', 'misc', [{'name': 'nonexistent', 'type': 'integer'}])
-        coerce_pipeline_config(config, meta)  # should not raise
-
-    def test_invalid_value_logs_warning(self, caplog):
-        config = {'trigger': {'misc': {'timeout': 'abc'}}}
-        meta = self._make_meta('trigger', 'misc', [{'name': 'timeout', 'type': 'integer'}])
-        import logging
-
-        with caplog.at_level(logging.WARNING):
-            coerce_pipeline_config(config, meta)
-        assert config['trigger']['misc']['timeout'] == 'abc'  # unchanged
-        assert 'Failed to coerce' in caplog.text
-
-    def test_empty_metadata(self):
-        config = {'trigger': {'misc': {'timeout': '120'}}}
-        coerce_pipeline_config(config)  # no metadata args, should not raise
-
-    def test_multiple_metadata(self):
-        config = {
-            'trigger': {'misc': {'timeout': '120'}},
-            'output': {'misc': {'at-sender': 'false'}},
-        }
-        meta_trigger = self._make_meta('trigger', 'misc', [{'name': 'timeout', 'type': 'integer'}])
-        meta_output = self._make_meta('output', 'misc', [{'name': 'at-sender', 'type': 'boolean'}])
-        coerce_pipeline_config(config, meta_trigger, meta_output)
-        assert config['trigger']['misc']['timeout'] == 120
-        assert config['output']['misc']['at-sender'] is False

uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 3
+revision = 2
 requires-python = ">=3.11, <4.0"
 resolution-markers = [
     "python_full_version >= '3.14' and sys_platform == 'win32'",
@@ -964,30 +964,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/bc/58/6b3d24e6b9bc474a2dcdee65dfd1f008867015408a271562e4b690561a4d/cryptography-46.0.5-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:8456928655f856c6e1533ff59d5be76578a7157224dbd9ce6872f25055ab9ab7", size = 3407605, upload-time = "2026-02-10T19:18:29.233Z" },
 ]
 
-[[package]]
-name = "cuda-bindings"
-version = "12.9.4"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "cuda-pathfinder", marker = "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
-]
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/45/e7/b47792cc2d01c7e1d37c32402182524774dadd2d26339bd224e0e913832e/cuda_bindings-12.9.4-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c912a3d9e6b6651853eed8eed96d6800d69c08e94052c292fec3f282c5a817c9", size = 12210593, upload-time = "2025-10-21T14:51:36.574Z" },
-    { url = "https://files.pythonhosted.org/packages/a9/c1/dabe88f52c3e3760d861401bb994df08f672ec893b8f7592dc91626adcf3/cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fda147a344e8eaeca0c6ff113d2851ffca8f7dfc0a6c932374ee5c47caa649c8", size = 12151019, upload-time = "2025-10-21T14:51:43.167Z" },
-    { url = "https://files.pythonhosted.org/packages/63/56/e465c31dc9111be3441a9ba7df1941fe98f4aa6e71e8788a3fb4534ce24d/cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:32bdc5a76906be4c61eb98f546a6786c5773a881f3b166486449b5d141e4a39f", size = 11906628, upload-time = "2025-10-21T14:51:49.905Z" },
-    { url = "https://files.pythonhosted.org/packages/a3/84/1e6be415e37478070aeeee5884c2022713c1ecc735e6d82d744de0252eee/cuda_bindings-12.9.4-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:56e0043c457a99ac473ddc926fe0dc4046694d99caef633e92601ab52cbe17eb", size = 11925991, upload-time = "2025-10-21T14:51:56.535Z" },
-    { url = "https://files.pythonhosted.org/packages/d1/af/6dfd8f2ed90b1d4719bc053ff8940e494640fe4212dc3dd72f383e4992da/cuda_bindings-12.9.4-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8b72ee72a9cc1b531db31eebaaee5c69a8ec3500e32c6933f2d3b15297b53686", size = 11922703, upload-time = "2025-10-21T14:52:03.585Z" },
-    { url = "https://files.pythonhosted.org/packages/6c/19/90ac264acc00f6df8a49378eedec9fd2db3061bf9263bf9f39fd3d8377c3/cuda_bindings-12.9.4-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d80bffc357df9988dca279734bc9674c3934a654cab10cadeed27ce17d8635ee", size = 11924658, upload-time = "2025-10-21T14:52:10.411Z" },
-]
-
-[[package]]
-name = "cuda-pathfinder"
-version = "1.4.1"
-source = { registry = "https://pypi.org/simple" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/07/02/59a5bc738a09def0b49aea0e460bdf97f65206d0d041246147cf6207e69c/cuda_pathfinder-1.4.1-py3-none-any.whl", hash = "sha256:40793006082de88e0950753655e55558a446bed9a7d9d0bcb48b2506d50ed82a", size = 43903, upload-time = "2026-03-06T21:05:24.372Z" },
-]
-
 [[package]]
 name = "dashscope"
 version = "1.25.10"
@@ -1112,7 +1088,7 @@ wheels = [
 
 [[package]]
 name = "flask"
-version = "3.1.3"
+version = "3.1.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "blinker" },
@@ -1122,9 +1098,9 @@ dependencies = [
     { name = "markupsafe" },
     { name = "werkzeug" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/26/00/35d85dcce6c57fdc871f3867d465d780f302a175ea360f62533f12b27e2b/flask-3.1.3.tar.gz", hash = "sha256:0ef0e52b8a9cd932855379197dd8f94047b359ca0a78695144304cb45f87c9eb", size = 759004, upload-time = "2026-02-19T05:00:57.678Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/dc/6d/cfe3c0fcc5e477df242b98bfe186a4c34357b4847e87ecaef04507332dab/flask-3.1.2.tar.gz", hash = "sha256:bf656c15c80190ed628ad08cdfd3aaa35beb087855e2f494910aa3774cc4fd87", size = 720160, upload-time = "2025-08-19T21:03:21.205Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7f/9c/34f6962f9b9e9c71f6e5ed806e0d0ff03c9d1b0b2340088a0cf4bce09b18/flask-3.1.3-py3-none-any.whl", hash = "sha256:f4bcbefc124291925f1a26446da31a5178f9483862233b23c0c96a20701f670c", size = 103424, upload-time = "2026-02-19T05:00:56.027Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/f9/7f9263c5695f4bd0023734af91bedb2ff8209e8de6ead162f35d8dc762fd/flask-3.1.2-py3-none-any.whl", hash = "sha256:ca1d8112ec8a6158cc29ea4858963350011b5c846a414cdb7a954aa9e967d03c", size = 103308, upload-time = "2025-08-19T21:03:19.499Z" },
 ]
 
 [[package]]
@@ -1753,15 +1729,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/14/2f/967ba146e6d58cf6a652da73885f52fc68001525b4197effc174321d70b4/jmespath-1.1.0-py3-none-any.whl", hash = "sha256:a5663118de4908c91729bea0acadca56526eb2698e83de10cd116ae0f4e97c64", size = 20419, upload-time = "2026-01-22T16:35:24.919Z" },
 ]
 
-[[package]]
-name = "joblib"
-version = "1.5.3"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/41/f2/d34e8b3a08a9cc79a50b2208a93dce981fe615b64d5a4d4abee421d898df/joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3", size = 331603, upload-time = "2025-12-15T08:41:46.427Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/7b/91/984aca2ec129e2757d1e4e3c81c3fcda9d0f85b74670a094cc443d9ee949/joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713", size = 309071, upload-time = "2025-12-15T08:41:44.973Z" },
-]
-
 [[package]]
 name = "jsonpatch"
 version = "1.33"
@@ -1832,7 +1799,7 @@ wheels = [
 
 [[package]]
 name = "langbot"
-version = "4.9.4"
+version = "4.8.7"
 source = { editable = "." }
 dependencies = [
     { name = "aiocqhttp" },
@@ -1928,7 +1895,7 @@ requires-dist = [
     { name = "botocore", specifier = ">=1.42.39" },
     { name = "certifi", specifier = ">=2025.4.26" },
     { name = "chardet", specifier = ">=5.2.0" },
-    { name = "chromadb", specifier = ">=1.0.0,<2.0.0" },
+    { name = "chromadb", specifier = ">=0.4.24" },
     { name = "colorlog", specifier = "~=6.6.0" },
     { name = "cryptography", specifier = ">=44.0.3" },
     { name = "dashscope", specifier = ">=1.25.10" },
@@ -1937,7 +1904,7 @@ requires-dist = [
     { name = "ebooklib", specifier = ">=0.18" },
     { name = "gewechat-client", specifier = ">=0.1.5" },
     { name = "html2text", specifier = ">=2024.2.26" },
-    { name = "langbot-plugin", specifier = "==0.3.5" },
+    { name = "langbot-plugin", specifier = "==0.2.7" },
     { name = "langchain", specifier = ">=0.2.0" },
     { name = "langchain-text-splitters", specifier = ">=0.0.1" },
     { name = "lark-oapi", specifier = ">=1.4.15" },
@@ -1960,7 +1927,7 @@ requires-dist = [
     { name = "pymilvus", specifier = ">=2.6.4" },
     { name = "pynacl", specifier = ">=1.5.0" },
     { name = "pypdf2", specifier = ">=3.0.1" },
-    { name = "pyseekdb", specifier = "==1.1.0.post3" },
+    { name = "pyseekdb", specifier = "==1.0.0b7" },
     { name = "python-docx", specifier = ">=1.1.0" },
     { name = "python-socks", specifier = ">=2.7.1" },
     { name = "python-telegram-bot", specifier = ">=22.0" },
@@ -1993,7 +1960,7 @@ dev = [
 
 [[package]]
 name = "langbot-plugin"
-version = "0.3.5"
+version = "0.2.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiofiles" },
@@ -2011,28 +1978,28 @@ dependencies = [
     { name = "watchdog" },
     { name = "websockets" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/1c/8f/0a22e4461b0893ac2afb1b6aaebafe04c921df6dbbf4b8bd6c83cf6a97b2/langbot_plugin-0.3.5.tar.gz", hash = "sha256:79c7feb08f788f480435de8cdefc3cfed4de2dfb03978a460251b8c9d1c271d3", size = 171927, upload-time = "2026-03-25T13:53:18.334Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/9e/a0/babd76596e5de38149da67b8da20e0519cc5f10080de9dc2b16919486f29/langbot_plugin-0.2.7.tar.gz", hash = "sha256:5c8ad1820283901a33356f79a56c84b4744712a463e1c7aecc6e9defe4db4446", size = 162458, upload-time = "2026-02-25T06:00:52.512Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/32/2a/6575cf5d5babb7a9400a8aca243e4b8341d83b673e5e9c0394c0393f1c3e/langbot_plugin-0.2.7-py3-none-any.whl", hash = "sha256:17344e61537a5bb97fc77cd83812b5db926f29005e92fefbcbaca5bb47bf55f0", size = 133476, upload-time = "2026-02-25T06:00:50.988Z" },
 ]
 
 [[package]]
 name = "langchain"
-version = "1.2.12"
+version = "1.2.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "langchain-core" },
     { name = "langgraph" },
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-    { url = "https://files.pythonhosted.org/packages/35/f8/9c66bfc55361ec6d0e4040a0337fb5924ceb23de4648b8a81ae9d33b2b38/triton-3.6.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d002e07d7180fd65e622134fbd980c9a3d4211fb85224b56a0a0efbd422ab72f", size = 188400296, upload-time = "2026-01-20T16:00:56.042Z" },
-    { url = "https://files.pythonhosted.org/packages/df/3d/9e7eee57b37c80cec63322c0231bb6da3cfe535a91d7a4d64896fcb89357/triton-3.6.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a17a5d5985f0ac494ed8a8e54568f092f7057ef60e1b0fa09d3fd1512064e803", size = 188273063, upload-time = "2026-01-20T16:01:07.278Z" },
-    { url = "https://files.pythonhosted.org/packages/f6/56/6113c23ff46c00aae423333eb58b3e60bdfe9179d542781955a5e1514cb3/triton-3.6.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:46bd1c1af4b6704e554cad2eeb3b0a6513a980d470ccfa63189737340c7746a7", size = 188397994, upload-time = "2026-01-20T16:01:14.236Z" },
-]
-
 [[package]]
 name = "typer"
 version = "0.21.1"
@@ -5872,14 +5421,14 @@ wheels = [
 
 [[package]]
 name = "werkzeug"
-version = "3.1.6"
+version = "3.1.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "markupsafe" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/61/f1/ee81806690a87dab5f5653c1f146c92bc066d7f4cebc603ef88eb9e13957/werkzeug-3.1.6.tar.gz", hash = "sha256:210c6bede5a420a913956b4791a7f4d6843a43b6fcee4dfa08a65e93007d0d25", size = 864736, upload-time = "2026-02-19T15:17:18.884Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/5a/70/1469ef1d3542ae7c2c7b72bd5e3a4e6ee69d7978fa8a3af05a38eca5becf/werkzeug-3.1.5.tar.gz", hash = "sha256:6a548b0e88955dd07ccb25539d7d0cc97417ee9e179677d22c7041c8f078ce67", size = 864754, upload-time = "2026-01-08T17:49:23.247Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/4d/ec/d58832f89ede95652fd01f4f24236af7d32b70cab2196dfcc2d2fd13c5c2/werkzeug-3.1.6-py3-none-any.whl", hash = "sha256:7ddf3357bb9564e407607f988f683d72038551200c704012bb9a4c523d42f131", size = 225166, upload-time = "2026-02-19T15:17:17.475Z" },
+    { url = "https://files.pythonhosted.org/packages/ad/e4/8d97cca767bcc1be76d16fb76951608305561c6e056811587f36cb1316a8/werkzeug-3.1.5-py3-none-any.whl", hash = "sha256:5111e36e91086ece91f93268bb39b4a35c1e6f1feac762c9c822ded0a4e322dc", size = 225025, upload-time = "2026-01-08T17:49:21.859Z" },
 ]
 
 [[package]]

web/package.json

@@ -102,10 +102,5 @@
     "typescript": "^5.8.3",
     "typescript-eslint": "^8.31.1"
   },
-  "packageManager": "pnpm@8.9.2+sha512.b9d35fe91b2a5854dadc43034a3e7b2e675fa4b56e20e8e09ef078fa553c18f8aed44051e7b36e8b8dd435f97eb0c44c4ff3b44fc7c6fa7d21e1fac17bbe661e",
-  "pnpm": {
-    "overrides": {
-      "minimatch": "3.1.3"
-    }
-  }
-}
+  "packageManager": "pnpm@8.9.2+sha512.b9d35fe91b2a5854dadc43034a3e7b2e675fa4b56e20e8e09ef078fa553c18f8aed44051e7b36e8b8dd435f97eb0c44c4ff3b44fc7c6fa7d21e1fac17bbe661e"
+}

web/pnpm-lock.yaml

@@ -4,9 +4,6 @@ settings:
   autoInstallPeers: true
   excludeLinksFromLockfile: false
 
-overrides:
-  minimatch: 3.1.3
-
 dependencies:
   '@dnd-kit/core':
     specifier: ^6.3.1
@@ -348,7 +345,7 @@ packages:
     dependencies:
       '@eslint/object-schema': 2.1.7
       debug: 4.4.3
-      minimatch: 3.1.3
+      minimatch: 3.1.2
     transitivePeerDependencies:
       - supports-color
     dev: true
@@ -378,7 +375,7 @@ packages:
       ignore: 5.3.2
       import-fresh: 3.3.1
       js-yaml: 4.1.1
-      minimatch: 3.1.3
+      minimatch: 3.1.2
       strip-json-comments: 3.1.1
     transitivePeerDependencies:
       - supports-color
@@ -2263,7 +2260,7 @@ packages:
       '@typescript-eslint/types': 8.54.0
       '@typescript-eslint/visitor-keys': 8.54.0
       debug: 4.4.3
-      minimatch: 3.1.3
+      minimatch: 9.0.5
       semver: 7.7.3
       tinyglobby: 0.2.15
       ts-api-utils: 2.4.0(typescript@5.9.3)
@@ -2681,6 +2678,12 @@ packages:
       concat-map: 0.0.1
     dev: true
 
+  /brace-expansion@2.0.2:
+    resolution: {integrity: sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ==}
+    dependencies:
+      balanced-match: 1.0.2
+    dev: true
+
   /braces@3.0.3:
     resolution: {integrity: sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==}
     engines: {node: '>=8'}
@@ -3342,7 +3345,7 @@ packages:
       hasown: 2.0.2
       is-core-module: 2.16.1
       is-glob: 4.0.3
-      minimatch: 3.1.3
+      minimatch: 3.1.2
       object.fromentries: 2.0.8
       object.groupby: 1.0.3
       object.values: 1.2.1
@@ -3373,7 +3376,7 @@ packages:
       hasown: 2.0.2
       jsx-ast-utils: 3.3.5
       language-tags: 1.0.9
-      minimatch: 3.1.3
+      minimatch: 3.1.2
       object.fromentries: 2.0.8
       safe-regex-test: 1.1.0
       string.prototype.includes: 2.0.1
@@ -3425,7 +3428,7 @@ packages:
       estraverse: 5.3.0
       hasown: 2.0.2
       jsx-ast-utils: 3.3.5
-      minimatch: 3.1.3
+      minimatch: 3.1.2
       object.entries: 1.1.9
       object.fromentries: 2.0.8
       object.values: 1.2.1
@@ -3495,7 +3498,7 @@ packages:
       is-glob: 4.0.3
       json-stable-stringify-without-jsonify: 1.0.1
       lodash.merge: 4.6.2
-      minimatch: 3.1.3
+      minimatch: 3.1.2
       natural-compare: 1.4.0
       optionator: 0.9.4
     transitivePeerDependencies:
@@ -5110,12 +5113,19 @@ packages:
     engines: {node: '>=18'}
     dev: true
 
-  /minimatch@3.1.3:
-    resolution: {integrity: sha512-M2GCs7Vk83NxkUyQV1bkABc4yxgz9kILhHImZiBPAZ9ybuvCb0/H7lEl5XvIg3g+9d4eNotkZA5IWwYl0tibaA==}
+  /minimatch@3.1.2:
+    resolution: {integrity: sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==}
     dependencies:
       brace-expansion: 1.1.12
     dev: true
 
+  /minimatch@9.0.5:
+    resolution: {integrity: sha512-G6T0ZX48xgozx7587koeX9Ys2NYy6Gmv//P89sEte9V9whIapMNF4idKxnW2QtCcLiTWlb/wfCabAtAFWhhBow==}
+    engines: {node: '>=16 || 14 >=14.17'}
+    dependencies:
+      brace-expansion: 2.0.2
+    dev: true
+
   /minimist@1.2.8:
     resolution: {integrity: sha512-2yyAR8qBkN3YuheJanUpWC5U3bb5osDywNB8RzDVlDwDHbocAJveqqj1u8+SVD7jkWT4yvsHCpWqqWqAxb0zCA==}
     dev: true

web/src/app/home/bots/components/bot-form/BotForm.tsx

@@ -1,4 +1,4 @@
-import React, { useEffect, useMemo, useState } from 'react';
+import React, { useEffect, useState } from 'react';
 import {
   IChooseAdapterEntity,
   IPipelineEntity,
@@ -113,73 +113,115 @@ export default function BotForm({
   const [dynamicFormConfigList, setDynamicFormConfigList] = useState<
     IDynamicFormItemSchema[]
   >([]);
+  const [filteredDynamicFormConfigList, setFilteredDynamicFormConfigList] =
+    useState<IDynamicFormItemSchema[]>([]);
   const [, setIsLoading] = useState<boolean>(false);
   const [webhookUrl, setWebhookUrl] = useState<string>('');
-  const [extraWebhookUrl, setExtraWebhookUrl] = useState<string>('');
+  const webhookInputRef = React.useRef<HTMLInputElement>(null);
   const [copied, setCopied] = useState<boolean>(false);
-  const [extraCopied, setExtraCopied] = useState<boolean>(false);
 
   // Watch adapter and adapter_config for filtering
   const currentAdapter = form.watch('adapter');
   const currentAdapterConfig = form.watch('adapter_config');
 
-  // Derive the filtered config list via useMemo instead of useEffect+setState
-  // to avoid creating new array references that would cause DynamicFormComponent
-  // to re-subscribe its form.watch, re-emit values, and trigger an infinite loop.
-  // Only depend on the specific field we care about (enable-webhook) rather than
-  // the entire currentAdapterConfig object, which changes on every emission.
-  const enableWebhook = currentAdapterConfig?.['enable-webhook'];
-  const filteredDynamicFormConfigList = useMemo(() => {
-    if (currentAdapter === 'lark' && enableWebhook === false) {
-      // Hide encrypt-key field when webhook is disabled
-      return dynamicFormConfigList.filter(
-        (config) => config.name !== 'encrypt-key',
-      );
-    }
-    // For non-Lark adapters or when webhook is enabled/undefined, show all fields
-    return dynamicFormConfigList;
-  }, [currentAdapter, enableWebhook, dynamicFormConfigList]);
+  // Serialize adapter_config to a stable string so it can be used as a
+  // useEffect dependency without triggering on every render.  form.watch()
+  // returns a new object reference each time, which would otherwise cause
+  // the filtering effect below to loop indefinitely.
+  const adapterConfigJson = JSON.stringify(currentAdapterConfig);
 
   useEffect(() => {
     setBotFormValues();
   }, []);
 
-  // 复制到剪贴板的辅助函数
-  const copyToClipboard = (
-    text: string,
-    setStatus: React.Dispatch<React.SetStateAction<boolean>>,
-  ) => {
-    if (navigator.clipboard && navigator.clipboard.writeText) {
-      navigator.clipboard
-        .writeText(text)
-        .then(() => {
-          setStatus(true);
-          setTimeout(() => setStatus(false), 2000);
-        })
-        .catch(() => {
-          // 降级：创建临时textarea复制
-          fallbackCopy(text, setStatus);
-        });
+  // Filter dynamic form config list based on enable-webhook status for Lark adapter
+  useEffect(() => {
+    if (currentAdapter === 'lark') {
+      const enableWebhook = currentAdapterConfig?.['enable-webhook'];
+      if (enableWebhook === false) {
+        // Hide encrypt-key field when webhook is disabled
+        setFilteredDynamicFormConfigList(
+          dynamicFormConfigList.filter(
+            (config) => config.name !== 'encrypt-key',
+          ),
+        );
+      } else {
+        // Show all fields when webhook is enabled or undefined
+        setFilteredDynamicFormConfigList(dynamicFormConfigList);
+      }
     } else {
-      fallbackCopy(text, setStatus);
+      // For non-Lark adapters, show all fields
+      setFilteredDynamicFormConfigList(dynamicFormConfigList);
     }
-  };
+  }, [currentAdapter, adapterConfigJson, dynamicFormConfigList]);
 
-  const fallbackCopy = (
-    text: string,
-    setStatus: React.Dispatch<React.SetStateAction<boolean>>,
-  ) => {
-    const textarea = document.createElement('textarea');
-    textarea.value = text;
-    textarea.style.position = 'fixed';
-    textarea.style.opacity = '0';
-    document.body.appendChild(textarea);
-    textarea.select();
-    const successful = document.execCommand('copy');
-    document.body.removeChild(textarea);
-    if (successful) {
-      setStatus(true);
-      setTimeout(() => setStatus(false), 2000);
+  // 复制到剪贴板的辅助函数 - 使用页面上的真实input元素
+  const copyToClipboard = () => {
+    console.log('[Copy] Attempting to copy from input element');
+
+    const inputElement = webhookInputRef.current;
+    if (!inputElement) {
+      console.error('[Copy] Input element not found');
+      return;
+    }
+
+    try {
+      // 确保input元素可见且未被禁用
+      inputElement.disabled = false;
+      inputElement.readOnly = false;
+
+      // 聚焦并选中所有文本
+      inputElement.focus();
+      inputElement.select();
+
+      // 尝试使用现代API
+      if (navigator.clipboard && navigator.clipboard.writeText) {
+        console.log(
+          '[Copy] Using Clipboard API with input value:',
+          inputElement.value,
+        );
+        navigator.clipboard
+          .writeText(inputElement.value)
+          .then(() => {
+            console.log('[Copy] Clipboard API success');
+            inputElement.blur(); // 取消选中
+            inputElement.readOnly = true;
+            setCopied(true);
+            setTimeout(() => setCopied(false), 2000);
+          })
+          .catch((err) => {
+            console.error(
+              '[Copy] Clipboard API failed, trying execCommand:',
+              err,
+            );
+            // 降级到execCommand
+            const successful = document.execCommand('copy');
+            console.log('[Copy] execCommand result:', successful);
+            inputElement.blur();
+            inputElement.readOnly = true;
+            if (successful) {
+              setCopied(true);
+              setTimeout(() => setCopied(false), 2000);
+            }
+          });
+      } else {
+        // 直接使用execCommand
+        console.log(
+          '[Copy] Using execCommand with input value:',
+          inputElement.value,
+        );
+        const successful = document.execCommand('copy');
+        console.log('[Copy] execCommand result:', successful);
+        inputElement.blur();
+        inputElement.readOnly = true;
+        if (successful) {
+          setCopied(true);
+          setTimeout(() => setCopied(false), 2000);
+        }
+      }
+    } catch (err) {
+      console.error('[Copy] Copy failed:', err);
+      inputElement.readOnly = true;
     }
   };
 
@@ -204,7 +246,6 @@ export default function BotForm({
             } else {
               setWebhookUrl('');
             }
-            setExtraWebhookUrl(val.extra_webhook_full_url || '');
           })
           .catch((err) => {
             toast.error(
@@ -214,7 +255,6 @@ export default function BotForm({
       } else {
         form.reset();
         setWebhookUrl('');
-        setExtraWebhookUrl('');
       }
     });
   }
@@ -287,20 +327,14 @@ export default function BotForm({
     setAdapterNameToDynamicConfigMap(adapterNameToDynamicConfigMap);
   }
 
-  async function getBotConfig(botId: string): Promise<
-    z.infer<typeof formSchema> & {
-      webhook_full_url?: string;
-      extra_webhook_full_url?: string;
-    }
-  > {
+  async function getBotConfig(
+    botId: string,
+  ): Promise<z.infer<typeof formSchema> & { webhook_full_url?: string }> {
     return new Promise((resolve, reject) => {
       httpClient
         .getBot(botId)
         .then((res) => {
           const bot = res.bot;
-          const runtimeValues = bot.adapter_runtime_values as
-            | Record<string, unknown>
-            | undefined;
           resolve({
             adapter: bot.adapter,
             description: bot.description,
@@ -308,12 +342,10 @@ export default function BotForm({
             adapter_config: bot.adapter_config,
             enable: bot.enable ?? true,
             use_pipeline_uuid: bot.use_pipeline_uuid ?? '',
-            webhook_full_url: runtimeValues?.webhook_full_url as
-              | string
-              | undefined,
-            extra_webhook_full_url: runtimeValues?.extra_webhook_full_url as
-              | string
-              | undefined,
+            webhook_full_url: bot.adapter_runtime_values
+              ? ((bot.adapter_runtime_values as Record<string, unknown>)
+                  .webhook_full_url as string)
+              : undefined,
           });
         })
         .catch((err) => {
@@ -504,11 +536,13 @@ export default function BotForm({
 
                 {/* Webhook 地址显示（统一 Webhook 模式） */}
                 {webhookUrl &&
-                  (currentAdapter !== 'lark' || enableWebhook !== false) && (
+                  (currentAdapter !== 'lark' ||
+                    currentAdapterConfig?.['enable-webhook'] !== false) && (
                     <FormItem>
                       <FormLabel>{t('bots.webhookUrl')}</FormLabel>
                       <div className="flex items-center gap-2">
                         <Input
+                          ref={webhookInputRef}
                           value={webhookUrl}
                           readOnly
                           className="flex-1 bg-gray-50 dark:bg-gray-900"
@@ -521,7 +555,7 @@ export default function BotForm({
                           type="button"
                           variant="outline"
                           size="sm"
-                          onClick={() => copyToClipboard(webhookUrl, setCopied)}
+                          onClick={copyToClipboard}
                         >
                           {copied ? (
                             <Check className="h-4 w-4 text-green-600 mr-2" />
@@ -531,37 +565,8 @@ export default function BotForm({
                           {t('common.copy')}
                         </Button>
                       </div>
-                      {extraWebhookUrl && (
-                        <div className="flex items-center gap-2 mt-2">
-                          <Input
-                            value={extraWebhookUrl}
-                            readOnly
-                            className="flex-1 bg-gray-50 dark:bg-gray-900"
-                            onClick={(e) => {
-                              (e.target as HTMLInputElement).select();
-                            }}
-                          />
-                          <Button
-                            type="button"
-                            variant="outline"
-                            size="sm"
-                            onClick={() =>
-                              copyToClipboard(extraWebhookUrl, setExtraCopied)
-                            }
-                          >
-                            {extraCopied ? (
-                              <Check className="h-4 w-4 text-green-600 mr-2" />
-                            ) : (
-                              <Copy className="h-4 w-4 mr-2" />
-                            )}
-                            {t('common.copy')}
-                          </Button>
-                        </div>
-                      )}
                       <p className="text-sm text-gray-500 mt-1">
-                        {extraWebhookUrl
-                          ? t('bots.webhookUrlHintEither')
-                          : t('bots.webhookUrlHint')}
+                        {t('bots.webhookUrlHint')}
                       </p>
                     </FormItem>
                   )}
@@ -668,7 +673,7 @@ export default function BotForm({
                 </div>
                 <DynamicFormComponent
                   itemConfigList={filteredDynamicFormConfigList}
-                  initialValues={currentAdapterConfig}
+                  initialValues={form.watch('adapter_config')}
                   onSubmit={(values) => {
                     form.setValue('adapter_config', values);
                   }}

web/src/app/home/bots/components/bot-session/BotSessionMonitor.tsx

@@ -6,7 +6,6 @@ import { httpClient } from '@/app/infra/http/HttpClient';
 import { ScrollArea } from '@/components/ui/scroll-area';
 import { Button } from '@/components/ui/button';
 import { cn } from '@/lib/utils';
-import { Copy, Check } from 'lucide-react';
 import {
   MessageChainComponent,
   Plain,
@@ -28,7 +27,6 @@ interface SessionInfo {
   is_active: boolean;
   platform?: string | null;
   user_id?: string | null;
-  user_name?: string | null;
 }
 
 interface SessionMessage {
@@ -62,29 +60,8 @@ export default function BotSessionMonitor({ botId }: BotSessionMonitorProps) {
   const [messages, setMessages] = useState<SessionMessage[]>([]);
   const [loadingSessions, setLoadingSessions] = useState(false);
   const [loadingMessages, setLoadingMessages] = useState(false);
-  const [copiedUserId, setCopiedUserId] = useState(false);
   const messagesContainerRef = useRef<HTMLDivElement>(null);
 
-  const parseSessionType = (sessionId: string): string | null => {
-    const idx = sessionId.indexOf('_');
-    if (idx === -1) return null;
-    const type = sessionId.slice(0, idx);
-    if (type === 'person' || type === 'group') return type;
-    return null;
-  };
-
-  const abbreviateId = (id: string): string => {
-    if (id.length <= 10) return id;
-    return `${id.slice(0, 4)}..${id.slice(-4)}`;
-  };
-
-  const copyUserId = (userId: string) => {
-    navigator.clipboard.writeText(userId).then(() => {
-      setCopiedUserId(true);
-      setTimeout(() => setCopiedUserId(false), 2000);
-    });
-  };
-
   const loadSessions = useCallback(async () => {
     setLoadingSessions(true);
     try {
@@ -361,36 +338,24 @@ export default function BotSessionMonitor({ botId }: BotSessionMonitorProps) {
                   >
                     <div className="flex items-center justify-between mb-0.5">
                       <span className="text-sm font-medium truncate mr-2">
-                        {session.user_name ||
-                          session.user_id ||
-                          session.session_id.slice(0, 12)}
+                        {session.user_id || session.session_id.slice(0, 12)}
                       </span>
                       <span className="text-[11px] text-muted-foreground tabular-nums flex-shrink-0">
                         {formatRelativeTime(session.last_activity)}
                       </span>
                     </div>
                     <div className="flex items-center gap-1.5 text-xs text-muted-foreground">
-                      {parseSessionType(session.session_id) && (
-                        <span className="px-1 py-0.5 rounded bg-muted text-[10px]">
-                          {parseSessionType(session.session_id)}
-                        </span>
-                      )}
                       {session.platform && (
                         <span className="px-1 py-0.5 rounded bg-muted text-[10px]">
                           {session.platform}
                         </span>
                       )}
-                      {session.user_id && (
-                        <span className="truncate text-[10px]">
-                          {abbreviateId(session.user_id)}
-                        </span>
-                      )}
                       {session.is_active && (
                         <span className="flex items-center gap-0.5 text-green-600 dark:text-green-400">
                           <span className="w-1.5 h-1.5 rounded-full bg-green-500 inline-block" />
                         </span>
                       )}
-                      <span className="truncate">{session.pipeline_name}</span>
+                      <span>{session.pipeline_name}</span>
                     </div>
                   </button>
                 );
@@ -412,42 +377,15 @@ export default function BotSessionMonitor({ botId }: BotSessionMonitorProps) {
             <div className="px-6 py-3 border-b shrink-0 flex items-center justify-between">
               <div className="min-w-0">
                 <div className="text-sm font-medium truncate">
-                  {selectedSession?.user_name ||
-                    selectedSession?.user_id ||
-                    selectedSessionId.slice(0, 20)}
+                  {selectedSession?.user_id || selectedSessionId.slice(0, 20)}
                 </div>
                 <div className="flex items-center gap-2 text-xs text-muted-foreground">
-                  {parseSessionType(selectedSessionId) && (
-                    <span>{parseSessionType(selectedSessionId)}</span>
-                  )}
                   {selectedSession?.platform && (
-                    <>
-                      {parseSessionType(selectedSessionId) && <span>·</span>}
-                      <span>{selectedSession.platform}</span>
-                    </>
-                  )}
-                  {selectedSession?.user_id && (
-                    <>
-                      <span>·</span>
-                      <span className="font-mono">
-                        {selectedSession.user_id}
-                      </span>
-                      <button
-                        onClick={() => copyUserId(selectedSession.user_id!)}
-                        className="inline-flex items-center text-muted-foreground hover:text-foreground transition-colors"
-                        title={t('common.copy')}
-                      >
-                        {copiedUserId ? (
-                          <Check className="w-3 h-3 text-green-600" />
-                        ) : (
-                          <Copy className="w-3 h-3" />
-                        )}
-                      </button>
-                    </>
+                    <span>{selectedSession.platform}</span>
                   )}
                   {selectedSession?.pipeline_name && (
                     <>
-                      <span>·</span>
+                      {selectedSession?.platform && <span>·</span>}
                       <span>{selectedSession.pipeline_name}</span>
                     </>
                   )}

web/src/app/home/components/dynamic-form/DynamicFormComponent.tsx

@@ -11,7 +11,7 @@ import {
   FormMessage,
 } from '@/components/ui/form';
 import DynamicFormItemComponent from '@/app/home/components/dynamic-form/DynamicFormItemComponent';
-import { useEffect, useRef } from 'react';
+import { useCallback, useEffect, useRef } from 'react';
 import { extractI18nObject } from '@/i18n/I18nProvider';
 import { useTranslation } from 'react-i18next';
 
@@ -34,35 +34,6 @@ export default function DynamicFormComponent({
   const previousInitialValues = useRef(initialValues);
   const { t } = useTranslation();
 
-  // Normalize a form value according to its field type.
-  // This ensures legacy/malformed data (e.g. a plain string for
-  // model-fallback-selector) is coerced to the expected shape
-  // so that downstream components never crash.
-  const normalizeFieldValue = (
-    item: IDynamicFormItemSchema,
-    value: unknown,
-  ): unknown => {
-    if (item.type === 'model-fallback-selector') {
-      if (value != null && typeof value === 'object' && !Array.isArray(value)) {
-        const obj = value as Record<string, unknown>;
-        return {
-          primary: typeof obj.primary === 'string' ? obj.primary : '',
-          fallbacks: Array.isArray(obj.fallbacks)
-            ? (obj.fallbacks as unknown[]).filter(
-                (v): v is string => typeof v === 'string',
-              )
-            : [],
-        };
-      }
-      // Legacy string format or any other unexpected type
-      return {
-        primary: typeof value === 'string' ? value : '',
-        fallbacks: [],
-      };
-    }
-    return value;
-  };
-
   // 根据 itemConfigList 动态生成 zod schema
   const formSchema = z.object(
     itemConfigList.reduce(
@@ -102,12 +73,6 @@ export default function DynamicFormComponent({
           case 'bot-selector':
             fieldSchema = z.string();
             break;
-          case 'model-fallback-selector':
-            fieldSchema = z.object({
-              primary: z.string(),
-              fallbacks: z.array(z.string()),
-            });
-            break;
           case 'prompt-editor':
             fieldSchema = z.array(
               z.object({
@@ -145,10 +110,10 @@ export default function DynamicFormComponent({
     resolver: zodResolver(formSchema),
     defaultValues: itemConfigList.reduce((acc, item) => {
       // 优先使用 initialValues，如果没有则使用默认值
-      const rawValue = initialValues?.[item.name] ?? item.default;
+      const value = initialValues?.[item.name] ?? item.default;
       return {
         ...acc,
-        [item.name]: normalizeFieldValue(item, rawValue),
+        [item.name]: value,
       };
     }, {} as FormValues),
   });
@@ -173,8 +138,7 @@ export default function DynamicFormComponent({
       // 合并默认值和初始值
       const mergedValues = itemConfigList.reduce(
         (acc, item) => {
-          const rawValue = initialValues[item.name] ?? item.default;
-          acc[item.name] = normalizeFieldValue(item, rawValue) as object;
+          acc[item.name] = initialValues[item.name] ?? item.default;
           return acc;
         },
         {} as Record<string, object>,
@@ -196,44 +160,39 @@ export default function DynamicFormComponent({
   const onSubmitRef = useRef(onSubmit);
   onSubmitRef.current = onSubmit;
 
-  // 监听表单值变化
-  useEffect(() => {
-    // Emit initial form values immediately so the parent always has a valid snapshot,
-    // even if the user saves without modifying any field.
-    // form.watch(callback) only fires on subsequent changes, not on mount.
+  // Track the last emitted values to avoid emitting identical snapshots,
+  // which would cause the parent to call setValue with an equivalent object,
+  // triggering a re-render loop.
+  const lastEmittedRef = useRef<string>('');
+
+  const emitValues = useCallback(() => {
     const formValues = form.getValues();
-    const initialFinalValues = itemConfigList.reduce(
+    const finalValues = itemConfigList.reduce(
       (acc, item) => {
         acc[item.name] = formValues[item.name] ?? item.default;
         return acc;
       },
       {} as Record<string, object>,
     );
-    onSubmitRef.current?.(initialFinalValues);
+    const serialized = JSON.stringify(finalValues);
+    if (serialized !== lastEmittedRef.current) {
+      lastEmittedRef.current = serialized;
+      onSubmitRef.current?.(finalValues);
+    }
+  }, [form, itemConfigList]);
 
-    // Update previousInitialValues to the emitted snapshot so that if the
-    // parent writes these values back as new initialValues, the deep
-    // comparison in the initialValues-sync useEffect won't detect a change
-    // and won't trigger an infinite update loop.
-    previousInitialValues.current = initialFinalValues as Record<
-      string,
-      object
-    >;
+  // 监听表单值变化
+  useEffect(() => {
+    // Emit initial form values immediately so the parent always has a valid snapshot,
+    // even if the user saves without modifying any field.
+    // form.watch(callback) only fires on subsequent changes, not on mount.
+    emitValues();
 
     const subscription = form.watch(() => {
-      const formValues = form.getValues();
-      const finalValues = itemConfigList.reduce(
-        (acc, item) => {
-          acc[item.name] = formValues[item.name] ?? item.default;
-          return acc;
-        },
-        {} as Record<string, object>,
-      );
-      onSubmitRef.current?.(finalValues);
-      previousInitialValues.current = finalValues as Record<string, object>;
+      emitValues();
     });
     return () => subscription.unsubscribe();
-  }, [form, itemConfigList]);
+  }, [form, itemConfigList, emitValues]);
 
   return (
     <Form {...form}>
@@ -272,7 +231,6 @@ export default function DynamicFormComponent({
 
           // All fields are disabled when editing (creation_settings are immutable)
           const isFieldDisabled = !!isEditing;
-
           return (
             <FormField
               key={config.id}

web/src/app/home/components/dynamic-form/DynamicFormItemComponent.tsx

@@ -124,28 +124,6 @@ export default function DynamicFormItemComponent({
     }
   }, [config.type]);
 
-  useEffect(() => {
-    if (config.type === DynamicFormItemType.MODEL_FALLBACK_SELECTOR) {
-      httpClient
-        .getProviderLLMModels()
-        .then((resp) => {
-          let models = resp.models;
-          if (
-            systemInfo.disable_models_service ||
-            userInfo?.account_type !== 'space'
-          ) {
-            models = models.filter(
-              (m) => m.provider?.requester !== 'space-chat-completions',
-            );
-          }
-          setLlmModels(models);
-        })
-        .catch((err) => {
-          toast.error('Failed to get LLM model list: ' + err.msg);
-        });
-    }
-  }, [config.type]);
-
   useEffect(() => {
     if (
       config.type === DynamicFormItemType.KNOWLEDGE_BASE_SELECTOR ||
@@ -193,7 +171,12 @@ export default function DynamicFormItemComponent({
       return <Textarea {...field} className="min-h-[120px]" />;
 
     case DynamicFormItemType.BOOLEAN:
-      return <Switch checked={field.value} onCheckedChange={field.onChange} />;
+      return (
+        <Switch
+          checked={field.value ?? false}
+          onCheckedChange={field.onChange}
+        />
+      );
 
     case DynamicFormItemType.STRING_ARRAY:
       return (
@@ -244,7 +227,7 @@ export default function DynamicFormItemComponent({
 
     case DynamicFormItemType.SELECT:
       return (
-        <Select value={field.value} onValueChange={field.onChange}>
+        <Select value={field.value ?? ''} onValueChange={field.onChange}>
           <SelectTrigger className="bg-[#ffffff] dark:bg-[#2a2a2e]">
             <SelectValue placeholder={t('common.select')} />
           </SelectTrigger>
@@ -335,193 +318,6 @@ export default function DynamicFormItemComponent({
         </Select>
       );
 
-    case DynamicFormItemType.MODEL_FALLBACK_SELECTOR: {
-      // Group models by provider
-      const groupedModelsForFallback = llmModels.reduce(
-        (acc, model) => {
-          const providerName =
-            model.provider?.name || model.provider?.requester || 'Unknown';
-          if (!acc[providerName]) acc[providerName] = [];
-          acc[providerName].push(model);
-          return acc;
-        },
-        {} as Record<string, LLMModel[]>,
-      );
-
-      const rawModelValue = field.value;
-      const modelValue: { primary: string; fallbacks: string[] } =
-        rawModelValue != null &&
-        typeof rawModelValue === 'object' &&
-        !Array.isArray(rawModelValue)
-          ? {
-              primary:
-                typeof (rawModelValue as Record<string, unknown>).primary ===
-                'string'
-                  ? ((rawModelValue as Record<string, unknown>)
-                      .primary as string)
-                  : '',
-              fallbacks: Array.isArray(
-                (rawModelValue as Record<string, unknown>).fallbacks,
-              )
-                ? (
-                    (rawModelValue as Record<string, unknown>)
-                      .fallbacks as unknown[]
-                  ).filter((v): v is string => typeof v === 'string')
-                : [],
-            }
-          : {
-              primary: typeof rawModelValue === 'string' ? rawModelValue : '',
-              fallbacks: [],
-            };
-
-      const renderModelSelect = (
-        value: string,
-        onChange: (val: string) => void,
-        placeholder: string,
-      ) => (
-        <Select value={value} onValueChange={onChange}>
-          <SelectTrigger className="bg-[#ffffff] dark:bg-[#2a2a2e]">
-            <SelectValue placeholder={placeholder} />
-          </SelectTrigger>
-          <SelectContent>
-            {Object.entries(groupedModelsForFallback).map(
-              ([providerName, models]) => (
-                <SelectGroup key={providerName}>
-                  <SelectLabel>{providerName}</SelectLabel>
-                  {models.map((model) => (
-                    <SelectItem key={model.uuid} value={model.uuid}>
-                      <span className="inline-flex items-center gap-1">
-                        {model.name}
-                        {model.abilities?.includes('vision') && (
-                          <Eye className="h-3 w-3 text-muted-foreground" />
-                        )}
-                        {model.abilities?.includes('func_call') && (
-                          <Wrench className="h-3 w-3 text-muted-foreground" />
-                        )}
-                      </span>
-                    </SelectItem>
-                  ))}
-                </SelectGroup>
-              ),
-            )}
-          </SelectContent>
-        </Select>
-      );
-
-      const updateValue = (patch: Partial<typeof modelValue>) => {
-        field.onChange({ ...modelValue, ...patch });
-      };
-
-      const addFallbackModel = () => {
-        updateValue({ fallbacks: [...modelValue.fallbacks, ''] });
-      };
-
-      const updateFallbackModel = (index: number, value: string) => {
-        const updated = [...modelValue.fallbacks];
-        updated[index] = value;
-        updateValue({ fallbacks: updated });
-      };
-
-      const removeFallbackModel = (index: number) => {
-        const updated = [...modelValue.fallbacks];
-        updated.splice(index, 1);
-        updateValue({ fallbacks: updated });
-      };
-
-      const moveFallbackModel = (index: number, direction: 'up' | 'down') => {
-        const updated = [...modelValue.fallbacks];
-        const newIndex = direction === 'up' ? index - 1 : index + 1;
-        if (newIndex < 0 || newIndex >= updated.length) return;
-        [updated[index], updated[newIndex]] = [
-          updated[newIndex],
-          updated[index],
-        ];
-        updateValue({ fallbacks: updated });
-      };
-
-      return (
-        <div className="space-y-3">
-          {/* Primary model selector */}
-          <div>
-            <p className="text-xs text-muted-foreground mb-1">
-              {t('models.fallback.primary')}
-            </p>
-            {renderModelSelect(
-              modelValue.primary,
-              (val) => updateValue({ primary: val }),
-              t('models.selectModel'),
-            )}
-          </div>
-
-          {/* Fallback models */}
-          {modelValue.fallbacks.length > 0 && (
-            <div className="space-y-2">
-              <p className="text-xs text-muted-foreground">
-                {t('models.fallback.fallbackList')}
-              </p>
-              {modelValue.fallbacks.map((fbUuid: string, index: number) => (
-                <div key={index} className="flex items-center gap-2">
-                  <span className="text-xs text-muted-foreground w-4 shrink-0">
-                    {index + 1}.
-                  </span>
-                  <div className="flex-1">
-                    {renderModelSelect(
-                      fbUuid,
-                      (val) => updateFallbackModel(index, val),
-                      t('models.selectModel'),
-                    )}
-                  </div>
-                  <div className="flex gap-1 shrink-0">
-                    <Button
-                      type="button"
-                      variant="ghost"
-                      size="sm"
-                      className="h-8 w-8 p-0"
-                      onClick={() => moveFallbackModel(index, 'up')}
-                      disabled={index === 0}
-                    >
-                      ↑
-                    </Button>
-                    <Button
-                      type="button"
-                      variant="ghost"
-                      size="sm"
-                      className="h-8 w-8 p-0"
-                      onClick={() => moveFallbackModel(index, 'down')}
-                      disabled={index === modelValue.fallbacks.length - 1}
-                    >
-                      ↓
-                    </Button>
-                    <Button
-                      type="button"
-                      variant="ghost"
-                      size="sm"
-                      className="h-8 w-8 p-0 text-destructive"
-                      onClick={() => removeFallbackModel(index)}
-                    >
-                      <X className="h-4 w-4" />
-                    </Button>
-                  </div>
-                </div>
-              ))}
-            </div>
-          )}
-
-          {/* Add fallback button */}
-          <Button
-            type="button"
-            variant="outline"
-            size="sm"
-            className="w-full"
-            onClick={addFallbackModel}
-          >
-            <Plus className="h-4 w-4 mr-1" />
-            {t('models.fallback.addFallback')}
-          </Button>
-        </div>
-      );
-    }
-
     case DynamicFormItemType.KNOWLEDGE_BASE_SELECTOR:
       // Group KBs by Knowledge Engine name
       const kbsByEngine = knowledgeBases.reduce(

web/src/app/home/components/home-sidebar/HomeSidebar.tsx

@@ -422,12 +422,12 @@ export default function HomeSidebar({
                   const language = localStorage.getItem('langbot_language');
                   if (language === 'zh-Hans' || language === 'zh-Hant') {
                     window.open(
-                      'https://docs.langbot.app/zh/insight/guide',
+                      'https://docs.langbot.app/zh/insight/guide.html',
                       '_blank',
                     );
                   } else {
                     window.open(
-                      'https://docs.langbot.app/en/insight/guide',
+                      'https://docs.langbot.app/en/insight/guide.html',
                       '_blank',
                     );
                   }

web/src/app/home/components/home-sidebar/sidbarConfigList.tsx

@@ -23,9 +23,9 @@ export const sidebarConfigList = [
     route: '/home/bots',
     description: t('bots.description'),
     helpLink: {
-      en_US: 'https://docs.langbot.app/en/usage/platforms/readme',
-      zh_Hans: 'https://docs.langbot.app/zh/usage/platforms/readme',
-      ja_JP: 'https://docs.langbot.app/ja/usage/platforms/readme',
+      en_US: 'https://docs.langbot.app/en/usage/platforms/readme.html',
+      zh_Hans: 'https://docs.langbot.app/zh/usage/platforms/readme.html',
+      ja_JP: 'https://docs.langbot.app/ja/usage/platforms/readme.html',
     },
   }),
   new SidebarChildVO({
@@ -44,9 +44,9 @@ export const sidebarConfigList = [
     route: '/home/pipelines',
     description: t('pipelines.description'),
     helpLink: {
-      en_US: 'https://docs.langbot.app/en/usage/pipelines/readme',
-      zh_Hans: 'https://docs.langbot.app/zh/usage/pipelines/readme',
-      ja_JP: 'https://docs.langbot.app/ja/usage/pipelines/readme',
+      en_US: 'https://docs.langbot.app/en/usage/pipelines/readme.html',
+      zh_Hans: 'https://docs.langbot.app/zh/usage/pipelines/readme.html',
+      ja_JP: 'https://docs.langbot.app/ja/usage/pipelines/readme.html',
     },
   }),
   new SidebarChildVO({
@@ -65,8 +65,8 @@ export const sidebarConfigList = [
     route: '/home/monitoring',
     description: t('monitoring.description'),
     helpLink: {
-      en_US: '',
-      zh_Hans: '',
+      en_US: 'https://docs.langbot.app/en/features/monitoring.html',
+      zh_Hans: 'https://docs.langbot.app/zh/features/monitoring.html',
     },
   }),
   new SidebarChildVO({
@@ -84,9 +84,9 @@ export const sidebarConfigList = [
     route: '/home/knowledge',
     description: t('knowledge.description'),
     helpLink: {
-      en_US: 'https://docs.langbot.app/en/usage/knowledge/readme',
-      zh_Hans: 'https://docs.langbot.app/zh/usage/knowledge/readme',
-      ja_JP: 'https://docs.langbot.app/ja/usage/knowledge/readme',
+      en_US: 'https://docs.langbot.app/en/usage/knowledge/readme.html',
+      zh_Hans: 'https://docs.langbot.app/zh/usage/knowledge/readme.html',
+      ja_JP: 'https://docs.langbot.app/ja/usage/knowledge/readme.html',
     },
   }),
   new SidebarChildVO({
@@ -105,9 +105,9 @@ export const sidebarConfigList = [
     route: '/home/plugins',
     description: t('plugins.description'),
     helpLink: {
-      en_US: 'https://docs.langbot.app/en/usage/plugin/plugin-intro',
-      zh_Hans: 'https://docs.langbot.app/zh/usage/plugin/plugin-intro',
-      ja_JP: 'https://docs.langbot.app/ja/usage/plugin/plugin-intro',
+      en_US: 'https://docs.langbot.app/en/usage/plugin/plugin-intro.html',
+      zh_Hans: 'https://docs.langbot.app/zh/usage/plugin/plugin-intro.html',
+      ja_JP: 'https://docs.langbot.app/ja/usage/plugin/plugin-intro.html',
     },
   }),
 ];

web/src/app/home/components/models-dialog/ModelsDialog.tsx

@@ -463,16 +463,14 @@ export default function ModelsDialog({
                     )
                   : t('models.providerCount', { count: otherProviders.length })}
               </span>
-              <div className="flex gap-2">
-                <Button
-                  size="sm"
-                  variant="outline"
-                  onClick={handleCreateProvider}
-                >
-                  <Plus className="h-4 w-4 mr-1" />
-                  {t('models.addProvider')}
-                </Button>
-              </div>
+              <Button
+                size="sm"
+                variant="outline"
+                onClick={handleCreateProvider}
+              >
+                <Plus className="h-4 w-4 mr-1" />
+                {t('models.addProvider')}
+              </Button>
             </div>
 
             {/* Provider List */}

web/src/app/home/components/new-version-dialog/NewVersionDialog.tsx

@@ -36,11 +36,11 @@ export default function NewVersionDialog({
   const getUpdateDocsUrl = () => {
     const language = i18n.language;
     if (language === 'zh-Hans' || language === 'zh-Hant') {
-      return 'https://docs.langbot.app/zh/deploy/update';
+      return 'https://docs.langbot.app/zh/deploy/update.html';
     } else if (language === 'ja-JP') {
-      return 'https://docs.langbot.app/ja/deploy/update';
+      return 'https://docs.langbot.app/ja/deploy/update.html';
     } else {
-      return 'https://docs.langbot.app/en/deploy/update';
+      return 'https://docs.langbot.app/en/deploy/update.html';
     }
   };
 

web/src/app/home/knowledge/KBDetailDialog.tsx

@@ -22,7 +22,6 @@ import { Button } from '@/components/ui/button';
 import { useTranslation } from 'react-i18next';
 import { httpClient } from '@/app/infra/http/HttpClient';
 import { KnowledgeBase } from '@/app/infra/entities/api';
-import { CustomApiError } from '@/app/infra/entities/common';
 import { toast } from 'sonner';
 import KBForm from '@/app/home/knowledge/components/kb-form/KBForm';
 import KBDoc from '@/app/home/knowledge/components/kb-docs/KBDoc';
@@ -69,9 +68,7 @@ export default function KBDetailDialog({
       setKbInfo(resp.base);
     } catch (e) {
       console.error('Failed to load KB info:', e);
-      toast.error(
-        t('knowledge.loadKnowledgeBaseFailed') + (e as CustomApiError).msg,
-      );
+      toast.error(t('knowledge.loadKnowledgeBaseFailed'));
     }
   }
 
@@ -139,9 +136,7 @@ export default function KBDetailDialog({
       onKbDeleted();
     } catch (e) {
       console.error('Failed to delete KB:', e);
-      toast.error(
-        t('knowledge.deleteKnowledgeBaseFailed') + (e as CustomApiError).msg,
-      );
+      toast.error(t('knowledge.deleteKnowledgeBaseFailed'));
     } finally {
       setShowDeleteConfirm(false);
     }

web/src/app/home/knowledge/components/kb-docs/FileUploadZone.tsx

@@ -12,7 +12,7 @@ import { httpClient } from '@/app/infra/http/HttpClient';
 import { toast } from 'sonner';
 import { useTranslation } from 'react-i18next';
 import { ParserInfo } from '@/app/infra/entities/api';
-import { CustomApiError, I18nObject } from '@/app/infra/entities/common';
+import { I18nObject } from '@/app/infra/entities/common';
 import { extractI18nObject } from '@/i18n/I18nProvider';
 
 interface FileUploadZoneProps {
@@ -97,9 +97,7 @@ export default function FileUploadZone({
         onUploadSuccess();
       } catch (error) {
         console.error('File upload failed:', error);
-        const errorMessage =
-          t('knowledge.documentsTab.uploadError') +
-          (error as CustomApiError).msg;
+        const errorMessage = t('knowledge.documentsTab.uploadError');
         toast.error(errorMessage, { id: toastId });
         onUploadError(errorMessage);
       } finally {

web/src/app/home/knowledge/components/kb-docs/KBDoc.tsx

@@ -1,7 +1,7 @@
 import { useCallback, useEffect, useRef, useState } from 'react';
 import { httpClient } from '@/app/infra/http/HttpClient';
 import { KnowledgeBaseFile } from '@/app/infra/entities/api';
-import { I18nObject, CustomApiError } from '@/app/infra/entities/common';
+import { I18nObject } from '@/app/infra/entities/common';
 import { columns, DocumentFile } from './documents/columns';
 import { DataTable } from './documents/data-table';
 import FileUploadZone from './FileUploadZone';
@@ -87,10 +87,7 @@ export default function KBDoc({
       })
       .catch((error) => {
         console.error('Delete failed:', error);
-        toast.error(
-          t('knowledge.documentsTab.fileDeleteFailed') +
-            (error as CustomApiError).msg,
-        );
+        toast.error(t('knowledge.documentsTab.fileDeleteFailed'));
       });
   };
 

web/src/app/home/knowledge/components/kb-form/KBForm.tsx

@@ -1,5 +1,4 @@
-import { useEffect, useMemo, useState } from 'react';
-import Link from 'next/link';
+import { useEffect, useState } from 'react';
 import { useForm } from 'react-hook-form';
 import { zodResolver } from '@hookform/resolvers/zod';
 import { z } from 'zod';
@@ -24,7 +23,6 @@ import {
   SelectValue,
 } from '@/components/ui/select';
 import { KnowledgeBase, KnowledgeEngine } from '@/app/infra/entities/api';
-import { CustomApiError } from '@/app/infra/entities/common';
 import { toast } from 'sonner';
 import { extractI18nObject } from '@/i18n/I18nProvider';
 import DynamicFormComponent from '@/app/home/components/dynamic-form/DynamicFormComponent';
@@ -219,10 +217,7 @@ export default function KBForm({
         })
         .catch((err) => {
           console.error('update knowledge base failed', err);
-          toast.error(
-            t('knowledge.updateKnowledgeBaseFailed') +
-              (err as CustomApiError).msg,
-          );
+          toast.error(t('knowledge.updateKnowledgeBaseFailed'));
         });
     } else {
       // Create knowledge base
@@ -233,26 +228,17 @@ export default function KBForm({
         })
         .catch((err) => {
           console.error('create knowledge base failed', err);
-          toast.error(
-            t('knowledge.createKnowledgeBaseFailed') +
-              (err as CustomApiError).msg,
-          );
+          toast.error(t('knowledge.createKnowledgeBaseFailed'));
         });
     }
   };
 
   // Convert creation schema to dynamic form items (same as ExternalKBForm)
-  // Memoize to avoid regenerating UUIDs on every render, which would cause
-  // DynamicFormComponent's useEffect to re-fire and trigger an infinite loop.
-  const configFormItems = useMemo(
-    () => parseCreationSchema(selectedEngine?.creation_schema),
-    [selectedEngine?.creation_schema],
-  );
+  const configFormItems = parseCreationSchema(selectedEngine?.creation_schema);
 
   // Convert retrieval schema to dynamic form items
-  const retrievalFormItems = useMemo(
-    () => parseCreationSchema(selectedEngine?.retrieval_schema),
-    [selectedEngine?.retrieval_schema],
+  const retrievalFormItems = parseCreationSchema(
+    selectedEngine?.retrieval_schema,
   );
 
   // Show loading state
@@ -271,12 +257,9 @@ export default function KBForm({
         <p className="text-muted-foreground">
           {t('knowledge.noEnginesAvailable')}
         </p>
-        <Link
-          href="/home/plugins"
-          className="text-sm text-primary hover:underline"
-        >
+        <p className="text-sm text-muted-foreground">
           {t('knowledge.installEngineHint')}
-        </Link>
+        </p>
       </div>
     );
   }

web/src/app/home/knowledge/components/kb-migration-dialog/KBMigrationDialog.tsx

@@ -1,157 +0,0 @@
-'use client';
-
-import { useState } from 'react';
-import {
-  Dialog,
-  DialogContent,
-  DialogHeader,
-  DialogTitle,
-  DialogDescription,
-  DialogFooter,
-} from '@/components/ui/dialog';
-import { Button } from '@/components/ui/button';
-import { useTranslation } from 'react-i18next';
-import { httpClient } from '@/app/infra/http/HttpClient';
-import { useAsyncTask, AsyncTaskStatus } from '@/hooks/useAsyncTask';
-import { toast } from 'sonner';
-import { Loader2 } from 'lucide-react';
-
-interface KBMigrationDialogProps {
-  open: boolean;
-  onOpenChange: (open: boolean) => void;
-  internalKbCount: number;
-  externalKbCount: number;
-  onMigrationComplete: () => void;
-}
-
-export default function KBMigrationDialog({
-  open,
-  onOpenChange,
-  internalKbCount,
-  externalKbCount,
-  onMigrationComplete,
-}: KBMigrationDialogProps) {
-  const { t } = useTranslation();
-  const [dismissing, setDismissing] = useState(false);
-
-  const asyncTask = useAsyncTask({
-    onSuccess: () => {
-      toast.success(t('knowledge.migration.success'));
-      onOpenChange(false);
-      onMigrationComplete();
-    },
-    onError: (error) => {
-      toast.error(`${t('knowledge.migration.error')}${error}`);
-    },
-  });
-
-  const handleMigration = async (installPlugin: boolean) => {
-    try {
-      const resp = await httpClient.executeRagMigration(installPlugin);
-      asyncTask.startTask(resp.task_id);
-    } catch {
-      toast.error(t('knowledge.migration.error'));
-    }
-  };
-
-  const handleDismiss = async () => {
-    setDismissing(true);
-    try {
-      await httpClient.dismissRagMigration();
-      onOpenChange(false);
-    } catch {
-      toast.error(t('knowledge.migration.dismissError'));
-    } finally {
-      setDismissing(false);
-    }
-  };
-
-  const isRunning = asyncTask.status === AsyncTaskStatus.RUNNING;
-  const isError = asyncTask.status === AsyncTaskStatus.ERROR;
-  const totalCount = internalKbCount + externalKbCount;
-
-  return (
-    <Dialog
-      open={open}
-      onOpenChange={(v) => {
-        if (!isRunning) onOpenChange(v);
-      }}
-    >
-      <DialogContent className="sm:max-w-md">
-        <DialogHeader>
-          <DialogTitle>{t('knowledge.migration.title')}</DialogTitle>
-          <DialogDescription>
-            {t('knowledge.migration.description')}
-          </DialogDescription>
-        </DialogHeader>
-
-        <div className="py-4 space-y-3">
-          {!isRunning && !isError && (
-            <p className="text-sm text-muted-foreground">
-              {t('knowledge.migration.detected', {
-                total: totalCount,
-                internal: internalKbCount,
-                external: externalKbCount,
-              })}
-            </p>
-          )}
-
-          {isRunning && (
-            <div className="flex items-center gap-3">
-              <Loader2 className="h-5 w-5 animate-spin text-primary" />
-              <p className="text-sm">{t('knowledge.migration.running')}</p>
-            </div>
-          )}
-
-          {isError && (
-            <div className="space-y-2">
-              <p className="text-sm text-destructive">
-                {t('knowledge.migration.error')}
-              </p>
-              {asyncTask.error && (
-                <p className="text-xs text-muted-foreground bg-muted p-2 rounded">
-                  {asyncTask.error}
-                </p>
-              )}
-            </div>
-          )}
-        </div>
-
-        <DialogFooter className="flex flex-col gap-2 sm:flex-col">
-          {!isRunning && !isError && (
-            <>
-              <Button onClick={() => handleMigration(true)} className="w-full">
-                {t('knowledge.migration.startWithInstall')}
-              </Button>
-              <Button
-                variant="outline"
-                onClick={() => handleMigration(false)}
-                className="w-full"
-              >
-                {t('knowledge.migration.startDataOnly')}
-              </Button>
-              <p className="text-xs text-muted-foreground text-center">
-                {t('knowledge.migration.dataOnlyHint')}
-              </p>
-            </>
-          )}
-          {isError && (
-            <Button onClick={() => handleMigration(true)} className="w-full">
-              {t('knowledge.migration.retry')}
-            </Button>
-          )}
-          {!isRunning && (
-            <Button
-              variant="ghost"
-              onClick={handleDismiss}
-              disabled={dismissing}
-              className="w-full text-destructive hover:text-destructive"
-            >
-              {t('knowledge.migration.dismiss')}
-            </Button>
-          )}
-        </DialogFooter>
-      </DialogContent>
-    </Dialog>
-  );
-}

web/src/app/home/knowledge/components/kb-retrieve/KBRetrieveGeneric.tsx

@@ -6,7 +6,6 @@ import { Button } from '@/components/ui/button';
 import { Input } from '@/components/ui/input';
 import { useTranslation } from 'react-i18next';
 import { RetrieveResult } from '@/app/infra/entities/api';
-import { CustomApiError } from '@/app/infra/entities/common';
 import { toast } from 'sonner';
 
 interface KBRetrieveGenericProps {
@@ -42,7 +41,7 @@ export default function KBRetrieveGeneric({
       setResults(response.results);
     } catch (error) {
       console.error('Retrieve failed:', error);
-      toast.error(t('knowledge.retrieveError') + (error as CustomApiError).msg);
+      toast.error(t('knowledge.retrieveError'));
     } finally {
       setLoading(false);
     }

web/src/app/home/knowledge/knowledgeBase.module.css

@@ -5,6 +5,7 @@
 
 .knowledgeListContainer {
   width: 100%;
+  margin-top: 2rem;
   padding-left: 0.8rem;
   padding-right: 0.8rem;
   display: grid;

web/src/app/home/knowledge/page.tsx

@@ -7,7 +7,6 @@ import { useEffect, useState } from 'react';
 import { KnowledgeBaseVO } from '@/app/home/knowledge/components/kb-card/KBCardVO';
 import KBCard from '@/app/home/knowledge/components/kb-card/KBCard';
 import KBDetailDialog from '@/app/home/knowledge/KBDetailDialog';
-import KBMigrationDialog from '@/app/home/knowledge/components/kb-migration-dialog/KBMigrationDialog';
 import { httpClient } from '@/app/infra/http/HttpClient';
 import { KnowledgeBase } from '@/app/infra/entities/api';
 
@@ -19,29 +18,10 @@ export default function KnowledgePage() {
   const [selectedKbId, setSelectedKbId] = useState<string>('');
   const [detailDialogOpen, setDetailDialogOpen] = useState(false);
 
-  // Migration dialog state
-  const [migrationDialogOpen, setMigrationDialogOpen] = useState(false);
-  const [migrationInternalCount, setMigrationInternalCount] = useState(0);
-  const [migrationExternalCount, setMigrationExternalCount] = useState(0);
-
   useEffect(() => {
     getKnowledgeBaseList();
-    checkMigrationStatus();
   }, []);
 
-  async function checkMigrationStatus() {
-    try {
-      const resp = await httpClient.getRagMigrationStatus();
-      if (resp.needed) {
-        setMigrationInternalCount(resp.internal_kb_count);
-        setMigrationExternalCount(resp.external_kb_count);
-        setMigrationDialogOpen(true);
-      }
-    } catch {
-      // Silently ignore - migration check is non-critical
-    }
-  }
-
   async function getKnowledgeBaseList() {
     const resp = await httpClient.getKnowledgeBases();
 
@@ -105,20 +85,8 @@ export default function KnowledgePage() {
     getKnowledgeBaseList();
   };
 
-  const handleMigrationComplete = () => {
-    getKnowledgeBaseList();
-  };
-
   return (
     <div>
-      <KBMigrationDialog
-        open={migrationDialogOpen}
-        onOpenChange={setMigrationDialogOpen}
-        internalKbCount={migrationInternalCount}
-        externalKbCount={migrationExternalCount}
-        onMigrationComplete={handleMigrationComplete}
-      />
-
       <KBDetailDialog
         open={detailDialogOpen}
         onOpenChange={setDetailDialogOpen}

web/src/app/home/monitoring/hooks/useMonitoringData.ts

@@ -7,7 +7,6 @@ import {
   EmbeddingCall,
 } from '../types/monitoring';
 import { backendClient } from '@/app/infra/http';
-import { parseUTCTimestamp } from '../utils/dateUtils';
 
 /**
  * Custom hook for fetching and managing monitoring data
@@ -121,7 +120,7 @@ export function useMonitoringData(filterState: FilterState) {
             variables?: string;
           }) => ({
             id: msg.id,
-            timestamp: parseUTCTimestamp(msg.timestamp),
+            timestamp: new Date(msg.timestamp),
             botId: msg.bot_id,
             botName: msg.bot_name,
             pipelineId: msg.pipeline_id,
@@ -155,7 +154,7 @@ export function useMonitoringData(filterState: FilterState) {
             message_id?: string;
           }) => ({
             id: call.id,
-            timestamp: parseUTCTimestamp(call.timestamp),
+            timestamp: new Date(call.timestamp),
             modelName: call.model_name,
             tokens: {
               input: call.input_tokens,
@@ -191,7 +190,7 @@ export function useMonitoringData(filterState: FilterState) {
             call_type?: string;
           }) => ({
             id: call.id,
-            timestamp: parseUTCTimestamp(call.timestamp),
+            timestamp: new Date(call.timestamp),
             modelName: call.model_name,
             promptTokens: call.prompt_tokens,
             totalTokens: call.total_tokens,
@@ -228,10 +227,10 @@ export function useMonitoringData(filterState: FilterState) {
             pipelineName: session.pipeline_name,
             messageCount: session.message_count,
             duration:
-              parseUTCTimestamp(session.last_activity).getTime() -
-              parseUTCTimestamp(session.start_time).getTime(),
-            lastActivity: parseUTCTimestamp(session.last_activity),
-            startTime: parseUTCTimestamp(session.start_time),
+              new Date(session.last_activity).getTime() -
+              new Date(session.start_time).getTime(),
+            lastActivity: new Date(session.last_activity),
+            startTime: new Date(session.start_time),
             platform: session.platform,
             userId: session.user_id,
           }),
@@ -251,7 +250,7 @@ export function useMonitoringData(filterState: FilterState) {
             message_id?: string;
           }) => ({
             id: error.id,
-            timestamp: parseUTCTimestamp(error.timestamp),
+            timestamp: new Date(error.timestamp),
             errorType: error.error_type,
             errorMessage: error.error_message,
             botId: error.bot_id,

web/src/app/home/monitoring/utils/dateUtils.ts

@@ -97,22 +97,3 @@ export function isDateInRange(date: Date, range: DateRange | null): boolean {
 export function parseDate(dateStr: string): Date {
   return new Date(dateStr);
 }
-
-/**
- * Parse a UTC timestamp string from the backend into a Date object.
- *
- * The backend stores all monitoring timestamps in UTC but serializes them
- * as naive ISO strings (e.g. "2026-03-25T14:30:00") without a timezone
- * designator. JavaScript's `new Date()` would treat such strings as local
- * time, causing the displayed time to be off by the user's UTC offset.
- *
- * This function appends 'Z' when the string has no timezone info, so that
- * `new Date()` correctly interprets it as UTC.
- */
-export function parseUTCTimestamp(timestamp: string): Date {
-  // If the string already contains timezone info ('Z', '+', or '-' offset), parse as-is
-  if (/Z|[+-]\d{2}:\d{2}$/.test(timestamp)) {
-    return new Date(timestamp);
-  }
-  return new Date(timestamp + 'Z');
-}

web/src/app/home/pipelines/components/monitoring-tab/PipelineMonitoringTab.tsx

@@ -10,7 +10,6 @@ import { MessageContentRenderer } from '@/app/home/monitoring/components/Message
 import { LoadingSpinner } from '@/components/ui/loading-spinner';
 import { httpClient } from '@/app/infra/http/HttpClient';
 import { MessageDetails } from '@/app/home/monitoring/types/monitoring';
-import { parseUTCTimestamp } from '@/app/home/monitoring/utils/dateUtils';
 
 interface PipelineMonitoringTabProps {
   pipelineId: string;
@@ -121,7 +120,7 @@ export default function PipelineMonitoringTab({
                 message: result.message
                   ? {
                       id: result.message.id,
-                      timestamp: parseUTCTimestamp(result.message.timestamp),
+                      timestamp: new Date(result.message.timestamp),
                       botId: result.message.bot_id,
                       botName: result.message.bot_name,
                       pipelineId: result.message.pipeline_id,
@@ -138,7 +137,7 @@ export default function PipelineMonitoringTab({
                   : undefined,
                 llmCalls: result.llm_calls.map((call: RawLLMCallData) => ({
                   id: call.id,
-                  timestamp: parseUTCTimestamp(call.timestamp),
+                  timestamp: new Date(call.timestamp),
                   modelName: call.model_name,
                   status: call.status,
                   duration: call.duration,
@@ -151,7 +150,7 @@ export default function PipelineMonitoringTab({
                 })),
                 errors: result.errors.map((error: RawErrorData) => ({
                   id: error.id,
-                  timestamp: parseUTCTimestamp(error.timestamp),
+                  timestamp: new Date(error.timestamp),
                   errorType: error.error_type,
                   errorMessage: error.error_message,
                   stackTrace: error.stack_trace,

web/src/app/home/pipelines/components/pipeline-form/PipelineFormComponent.tsx

@@ -120,8 +120,6 @@ export default function PipelineFormComponent({
 
   // Track unsaved changes by comparing current form values against a saved snapshot
   const savedSnapshotRef = useRef<string>('');
-  // Track which dynamic form stages have completed their initial mount emission.
-  const initializedStagesRef = useRef<Set<string>>(new Set());
   const watchedValues = form.watch();
   const hasUnsavedChanges = useMemo(() => {
     if (!isEditMode || !savedSnapshotRef.current) return false;
@@ -162,7 +160,6 @@ export default function PipelineFormComponent({
           };
           form.reset(loadedValues);
           savedSnapshotRef.current = JSON.stringify(loadedValues);
-          initializedStagesRef.current.clear();
         });
     }
   }, []);
@@ -238,33 +235,6 @@ export default function PipelineFormComponent({
       });
   }
 
-  // Called from DynamicFormComponent/N8nAuthFormComponent onSubmit callbacks.
-  // On the first emission for a stage (mount-time default filling), the
-  // snapshot is synchronously re-captured so that hasUnsavedChanges stays false.
-  function handleDynamicFormEmit(
-    formName: keyof FormValues,
-    stageName: string,
-    values: object,
-  ) {
-    const stageKey = `${String(formName)}.${stageName}`;
-    const isFirstEmission = !initializedStagesRef.current.has(stageKey);
-
-    const currentValues =
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-      (form.getValues(formName) as Record<string, any>) || {};
-    form.setValue(formName, {
-      ...currentValues,
-      [stageName]: values,
-    });
-
-    if (isFirstEmission) {
-      initializedStagesRef.current.add(stageKey);
-      // Synchronously re-capture snapshot so that the useMemo comparison
-      // in the same render cycle still returns false.
-      savedSnapshotRef.current = JSON.stringify(form.getValues());
-    }
-  }
-
   function renderDynamicForms(
     stage: PipelineConfigStage,
     formName: keyof FormValues,
@@ -294,7 +264,13 @@ export default function PipelineFormComponent({
                 {}
               }
               onSubmit={(values) => {
-                handleDynamicFormEmit(formName, stage.name, values);
+                const currentValues =
+                  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+                  (form.getValues(formName) as Record<string, any>) || {};
+                form.setValue(formName, {
+                  ...currentValues,
+                  [stage.name]: values,
+                });
               }}
             />
           </div>
@@ -326,7 +302,13 @@ export default function PipelineFormComponent({
                 {}
               }
               onSubmit={(values) => {
-                handleDynamicFormEmit(formName, stage.name, values);
+                const currentValues =
+                  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+                  (form.getValues(formName) as Record<string, any>) || {};
+                form.setValue(formName, {
+                  ...currentValues,
+                  [stage.name]: values,
+                });
               }}
             />
           </div>
@@ -351,7 +333,13 @@ export default function PipelineFormComponent({
             (form.watch(formName) as Record<string, any>)?.[stage.name] || {}
           }
           onSubmit={(values) => {
-            handleDynamicFormEmit(formName, stage.name, values);
+            const currentValues =
+              // eslint-disable-next-line @typescript-eslint/no-explicit-any
+              (form.getValues(formName) as Record<string, any>) || {};
+            form.setValue(formName, {
+              ...currentValues,
+              [stage.name]: values,
+            });
           }}
         />
       </div>

web/src/app/home/plugins/components/plugin-installed/PluginInstalledComponent.tsx

@@ -38,10 +38,12 @@ const PluginInstalledComponent = forwardRef<PluginInstalledComponentRef>(
   (props, ref) => {
     const { t } = useTranslation();
     const [pluginList, setPluginList] = useState<PluginCardVO[]>([]);
-    const [detailModalOpen, setDetailModalOpen] = useState<boolean>(false);
+    const [modalOpen, setModalOpen] = useState<boolean>(false);
     const [selectedPlugin, setSelectedPlugin] = useState<PluginCardVO | null>(
       null,
     );
+    const [readmeModalOpen, setReadmeModalOpen] = useState<boolean>(false);
+    const [readmePlugin, setReadmePlugin] = useState<PluginCardVO | null>(null);
     const [showOperationModal, setShowOperationModal] = useState(false);
     const [operationType, setOperationType] = useState<PluginOperationType>(
       PluginOperationType.DELETE,
@@ -164,7 +166,12 @@ const PluginInstalledComponent = forwardRef<PluginInstalledComponentRef>(
 
     function handlePluginClick(plugin: PluginCardVO) {
       setSelectedPlugin(plugin);
-      setDetailModalOpen(true);
+      setModalOpen(true);
+    }
+
+    function handleViewReadme(plugin: PluginCardVO) {
+      setReadmePlugin(plugin);
+      setReadmeModalOpen(true);
     }
 
     function handlePluginDelete(plugin: PluginCardVO) {
@@ -348,46 +355,52 @@ const PluginInstalledComponent = forwardRef<PluginInstalledComponentRef>(
           </div>
         ) : (
           <div className={`${styles.pluginListContainer}`}>
-            <Dialog open={detailModalOpen} onOpenChange={setDetailModalOpen}>
-              <DialogContent className="sm:max-w-[1100px] max-w-[95vw] max-h-[85vh] p-0 flex flex-col">
+            <Dialog open={modalOpen} onOpenChange={setModalOpen}>
+              <DialogContent className="w-[700px] max-h-[80vh] p-0 flex flex-col">
+                <DialogHeader className="px-6 pt-6 pb-2">
+                  <DialogTitle>{t('plugins.pluginConfig')}</DialogTitle>
+                </DialogHeader>
+                <div className="flex-1 overflow-y-auto px-6">
+                  {selectedPlugin && (
+                    <PluginForm
+                      pluginAuthor={selectedPlugin.author}
+                      pluginName={selectedPlugin.name}
+                      onFormSubmit={(timeout?: number) => {
+                        setModalOpen(false);
+                        if (timeout) {
+                          setTimeout(() => {
+                            getPluginList();
+                          }, timeout);
+                        } else {
+                          getPluginList();
+                        }
+                      }}
+                      onFormCancel={() => {
+                        setModalOpen(false);
+                      }}
+                    />
+                  )}
+                </div>
+              </DialogContent>
+            </Dialog>
+
+            <Dialog open={readmeModalOpen} onOpenChange={setReadmeModalOpen}>
+              <DialogContent className="sm:max-w-[900px] max-w-[90vw] max-h-[85vh] p-0 flex flex-col">
                 <DialogHeader className="px-6 pt-6 pb-2 border-b">
                   <DialogTitle>
-                    {selectedPlugin &&
-                      `${selectedPlugin.author}/${selectedPlugin.name}`}
+                    {readmePlugin &&
+                      `${readmePlugin.author}/${readmePlugin.name} - ${t(
+                        'plugins.readme',
+                      )}`}
                   </DialogTitle>
                 </DialogHeader>
-                <div className="flex-1 flex flex-row overflow-hidden min-h-0">
-                  {/* Left side - Readme */}
-                  <div className="flex-1 overflow-y-auto border-r min-w-0">
-                    {selectedPlugin && (
-                      <PluginReadme
-                        pluginAuthor={selectedPlugin.author}
-                        pluginName={selectedPlugin.name}
-                      />
-                    )}
-                  </div>
-                  {/* Right side - Config */}
-                  <div className="w-[380px] flex-shrink-0 overflow-y-auto px-4">
-                    {selectedPlugin && (
-                      <PluginForm
-                        pluginAuthor={selectedPlugin.author}
-                        pluginName={selectedPlugin.name}
-                        onFormSubmit={(timeout?: number) => {
-                          setDetailModalOpen(false);
-                          if (timeout) {
-                            setTimeout(() => {
-                              getPluginList();
-                            }, timeout);
-                          } else {
-                            getPluginList();
-                          }
-                        }}
-                        onFormCancel={() => {
-                          setDetailModalOpen(false);
-                        }}
-                      />
-                    )}
-                  </div>
+                <div className="flex-1 overflow-y-auto">
+                  {readmePlugin && (
+                    <PluginReadme
+                      pluginAuthor={readmePlugin.author}
+                      pluginName={readmePlugin.name}
+                    />
+                  )}
                 </div>
               </DialogContent>
             </Dialog>
@@ -400,6 +413,7 @@ const PluginInstalledComponent = forwardRef<PluginInstalledComponentRef>(
                     onCardClick={() => handlePluginClick(vo)}
                     onDeleteClick={() => handlePluginDelete(vo)}
                     onUpgradeClick={() => handlePluginUpdate(vo)}
+                    onViewReadme={() => handleViewReadme(vo)}
                   />
                 </div>
               );

web/src/app/home/plugins/components/plugin-installed/plugin-card/PluginCardComponent.tsx

@@ -2,7 +2,15 @@ import { PluginCardVO } from '@/app/home/plugins/components/plugin-installed/Plu
 import { useState } from 'react';
 import { Badge } from '@/components/ui/badge';
 import { useTranslation } from 'react-i18next';
-import { BugIcon, ExternalLink, Ellipsis, Trash, ArrowUp } from 'lucide-react';
+import {
+  BugIcon,
+  ExternalLink,
+  Ellipsis,
+  Trash,
+  ArrowUp,
+  Settings,
+  FileText,
+} from 'lucide-react';
 import { getCloudServiceClientSync, systemInfo } from '@/app/infra/http';
 import { httpClient } from '@/app/infra/http/HttpClient';
 import { Button } from '@/components/ui/button';
@@ -19,20 +27,28 @@ export default function PluginCardComponent({
   onCardClick,
   onDeleteClick,
   onUpgradeClick,
+  onViewReadme,
 }: {
   cardVO: PluginCardVO;
   onCardClick: () => void;
   onDeleteClick: (cardVO: PluginCardVO) => void;
   onUpgradeClick: (cardVO: PluginCardVO) => void;
+  onViewReadme: (cardVO: PluginCardVO) => void;
 }) {
   const { t } = useTranslation();
   const [dropdownOpen, setDropdownOpen] = useState(false);
+  const [isHovered, setIsHovered] = useState(false);
 
   return (
     <>
       <div
         className="w-[100%] h-[10rem] bg-white rounded-[10px] shadow-[0px_2px_2px_0_rgba(0,0,0,0.2)] p-[1.2rem] cursor-pointer dark:bg-[#1f1f22] relative transition-all duration-200 hover:shadow-[0px_3px_6px_0_rgba(0,0,0,0.12)] hover:scale-[1.005]"
-        onClick={() => onCardClick()}
+        onMouseEnter={() => setIsHovered(true)}
+        onMouseLeave={() => {
+          if (!dropdownOpen) {
+            setIsHovered(false);
+          }
+        }}
       >
         <div className="w-full h-full flex flex-row items-start justify-start gap-[1.2rem]">
           {/* Icon - fixed width */}
@@ -129,10 +145,7 @@ export default function PluginCardComponent({
           </div>
 
           {/* Menu button - fixed width and position */}
-          <div
-            className="flex flex-col items-center justify-between h-full relative z-20 flex-shrink-0"
-            onClick={(e) => e.stopPropagation()}
-          >
+          <div className="flex flex-col items-center justify-between h-full relative z-20 flex-shrink-0">
             <div className="flex items-center justify-center"></div>
 
             <div className="flex items-center justify-center">
@@ -140,6 +153,9 @@ export default function PluginCardComponent({
                 open={dropdownOpen}
                 onOpenChange={(open) => {
                   setDropdownOpen(open);
+                  if (!open) {
+                    setIsHovered(false);
+                  }
                 }}
               >
                 <DropdownMenuTrigger asChild>
@@ -217,6 +233,45 @@ export default function PluginCardComponent({
             </div>
           </div>
         </div>
+
+        {/* Hover overlay with action buttons */}
+        <div
+          className={`absolute inset-0 bg-gray-100/55 dark:bg-black/35 rounded-[10px] flex items-center justify-center gap-3 transition-all duration-200 z-10 ${
+            isHovered ? 'opacity-100' : 'opacity-0 pointer-events-none'
+          }`}
+        >
+          <Button
+            onClick={(e) => {
+              e.stopPropagation();
+              onViewReadme(cardVO);
+            }}
+            className={`bg-blue-600 hover:bg-blue-700 text-white px-4 py-2 rounded-lg shadow-sm flex items-center gap-2 transition-all duration-200 ${
+              isHovered
+                ? 'translate-y-0 opacity-100'
+                : 'translate-y-1 opacity-0'
+            }`}
+            style={{ transitionDelay: isHovered ? '10ms' : '0ms' }}
+          >
+            <FileText className="w-4 h-4" />
+            {t('plugins.readme')}
+          </Button>
+          <Button
+            onClick={(e) => {
+              e.stopPropagation();
+              onCardClick();
+            }}
+            variant="outline"
+            className={`bg-white hover:bg-gray-100 text-gray-900 dark:bg-white dark:hover:bg-gray-100 dark:text-gray-900 px-4 py-2 rounded-lg shadow-sm flex items-center gap-2 transition-all duration-200 ${
+              isHovered
+                ? 'translate-y-0 opacity-100'
+                : 'translate-y-1 opacity-0'
+            }`}
+            style={{ transitionDelay: isHovered ? '20ms' : '0ms' }}
+          >
+            <Settings className="w-4 h-4" />
+            {t('plugins.config')}
+          </Button>
+        </div>
       </div>
     </>
   );

web/src/app/home/plugins/components/plugin-market/PluginMarketComponent.tsx

@@ -1,6 +1,13 @@
 'use client';
 
-import { useState, useEffect, useCallback, useRef, Suspense } from 'react';
+import {
+  useState,
+  useEffect,
+  useCallback,
+  useRef,
+  Suspense,
+  useMemo,
+} from 'react';
 import { Input } from '@/components/ui/input';
 import {
   Select,
@@ -63,10 +70,9 @@ function MarketPageContent({
     RecommendationList[]
   >([]);
 
-  const pageSize = 12; // 每页12个
+  const pageSize = 16; // 每页16个，4行x4列
   const searchTimeoutRef = useRef<NodeJS.Timeout | null>(null);
   const scrollContainerRef = useRef<HTMLDivElement | null>(null);
-  const isComposingRef = useRef(false);
 
   // 排序选项
   const sortOptions: SortOption[] = [
@@ -251,14 +257,10 @@ function MarketPageContent({
         clearTimeout(searchTimeoutRef.current);
       }
 
-      if (isComposingRef.current) {
-        return;
-      }
-
       // 设置新的定时器
       searchTimeoutRef.current = setTimeout(() => {
         handleSearch(value);
-      }, 500);
+      }, 300);
     },
     [handleSearch],
   );
@@ -328,7 +330,38 @@ function MarketPageContent({
     };
   }, []);
 
-  const visiblePlugins = plugins;
+  // 计算所有推荐插件的 ID 集合
+  const recommendedPluginIds = useMemo(() => {
+    const ids = new Set<string>();
+    recommendationLists.forEach((list) => {
+      list.plugins.forEach((plugin) => {
+        ids.add(`${plugin.author} / ${plugin.name}`);
+      });
+    });
+    return ids;
+  }, [recommendationLists]);
+
+  // 过滤掉已在推荐列表中展示的插件
+  // 仅在显示推荐列表的条件下（无搜索、无筛选、第一页或后续页的累积数据中）进行过滤
+  // 注意：如果用户翻页，我们希望一直保持去重，否则推荐过的插件会在第二页出现
+  // 但是推荐列表只在第一页且无筛选时显示。
+  // 如果用户进行了筛选/搜索，推荐列表不显示，此时不需要去重。
+  const visiblePlugins = useMemo(() => {
+    const showRecommendations =
+      !searchQuery && componentFilter === 'all' && selectedTags.length === 0;
+
+    if (!showRecommendations) {
+      return plugins;
+    }
+
+    return plugins.filter((p) => !recommendedPluginIds.has(p.pluginId));
+  }, [
+    plugins,
+    recommendedPluginIds,
+    searchQuery,
+    componentFilter,
+    selectedTags,
+  ]);
 
   // 加载更多
   const loadMore = useCallback(() => {
@@ -403,13 +436,6 @@ function MarketPageContent({
               placeholder={t('market.searchPlaceholder')}
               value={searchQuery}
               onChange={(e) => handleSearchInputChange(e.target.value)}
-              onCompositionStart={() => {
-                isComposingRef.current = true;
-              }}
-              onCompositionEnd={(e) => {
-                isComposingRef.current = false;
-                handleSearchInputChange((e.target as HTMLInputElement).value);
-              }}
               onKeyPress={(e) => {
                 if (e.key === 'Enter') {
                   // Immediately search, clear debounce timer
@@ -536,7 +562,8 @@ function MarketPageContent({
         {/* Recommendation Lists */}
         {!searchQuery &&
           componentFilter === 'all' &&
-          selectedTags.length === 0 && (
+          selectedTags.length === 0 &&
+          currentPage === 1 && (
             <div className="pt-4">
               <RecommendationLists
                 lists={recommendationLists}

web/src/app/home/plugins/components/plugin-market/RecommendationLists.tsx

@@ -1,6 +1,6 @@
 'use client';
 
-import { useState, useRef, useEffect, useCallback } from 'react';
+import { useState } from 'react';
 import { ChevronLeft, ChevronRight, Star } from 'lucide-react';
 import { Button } from '@/components/ui/button';
 import PluginMarketCardComponent from './plugin-market-card/PluginMarketCardComponent';
@@ -18,7 +18,7 @@ export interface RecommendationList {
   plugins: PluginV4[];
 }
 
-// Match the main plugin grid: grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4
+const PAGE_SIZE = 4; // plugins per page in a recommendation row
 
 function pluginToVO(
   plugin: PluginV4,
@@ -47,53 +47,18 @@ function RecommendationListRow({
   list,
   tagNames,
   onInstall,
-  isLast,
 }: {
   list: RecommendationList;
   tagNames: Record<string, string>;
   onInstall: (author: string, pluginName: string) => void;
-  isLast: boolean;
 }) {
   const { t } = useTranslation();
   const [page, setPage] = useState(0);
-  const [perPage, setPerPage] = useState(4);
-  const gridRef = useRef<HTMLDivElement>(null);
 
   const plugins = list.plugins || [];
-
-  // Measure how many columns the CSS grid actually renders
-  const measureCols = useCallback(() => {
-    if (!gridRef.current) return;
-    const style = window.getComputedStyle(gridRef.current);
-    const cols = style.gridTemplateColumns.split(' ').length;
-    setPerPage(cols);
-  }, []);
-
-  useEffect(() => {
-    measureCols();
-    const observer = new ResizeObserver(measureCols);
-    if (gridRef.current) observer.observe(gridRef.current);
-    return () => observer.disconnect();
-  }, [measureCols]);
-
-  // Auto-advance every 5 seconds
-  useEffect(() => {
-    if (plugins.length <= perPage) return;
-    const timer = setInterval(() => {
-      setPage((p) => {
-        const tp = Math.max(1, Math.ceil(plugins.length / perPage));
-        return p >= tp - 1 ? 0 : p + 1;
-      });
-    }, 5000);
-    return () => clearInterval(timer);
-  }, [plugins.length, perPage]);
-
-  const totalPages = Math.max(1, Math.ceil(plugins.length / perPage));
-  const safePage = Math.min(page, totalPages - 1);
-  if (safePage !== page) setPage(safePage);
-
-  const start = safePage * perPage;
-  const visiblePlugins = plugins.slice(start, start + perPage);
+  const totalPages = Math.ceil(plugins.length / PAGE_SIZE);
+  const start = page * PAGE_SIZE;
+  const visiblePlugins = plugins.slice(start, start + PAGE_SIZE);
 
   if (plugins.length === 0) return null;
 
@@ -112,19 +77,19 @@ function RecommendationListRow({
               variant="ghost"
               size="sm"
               onClick={() => setPage((p) => Math.max(0, p - 1))}
-              disabled={safePage === 0}
+              disabled={page === 0}
               className="h-7 w-7 p-0"
             >
               <ChevronLeft className="w-4 h-4" />
             </Button>
             <span className="text-xs text-muted-foreground px-1">
-              {safePage + 1} / {totalPages}
+              {page + 1} / {totalPages}
             </span>
             <Button
               variant="ghost"
               size="sm"
               onClick={() => setPage((p) => Math.min(totalPages - 1, p + 1))}
-              disabled={safePage >= totalPages - 1}
+              disabled={page >= totalPages - 1}
               className="h-7 w-7 p-0"
             >
               <ChevronRight className="w-4 h-4" />
@@ -132,10 +97,7 @@ function RecommendationListRow({
           </div>
         )}
       </div>
-      <div
-        ref={gridRef}
-        className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4 gap-6"
-      >
+      <div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4 gap-6">
         {visiblePlugins.map((plugin) => (
           <PluginMarketCardComponent
             key={plugin.author + ' / ' + plugin.name}
@@ -145,9 +107,7 @@ function RecommendationListRow({
           />
         ))}
       </div>
-      {totalPages > 1 && !isLast && (
-        <div className="border-b border-border mt-6" />
-      )}
+      {totalPages > 1 && <div className="border-b border-border mt-6" />}
     </div>
   );
 }
@@ -165,13 +125,12 @@ export function RecommendationLists({
 
   return (
     <div className="mt-6">
-      {lists.map((list, index) => (
+      {lists.map((list) => (
         <RecommendationListRow
           key={list.uuid}
           list={list}
           tagNames={tagNames}
           onInstall={onInstall}
-          isLast={index === lists.length - 1}
         />
       ))}
       <div className="border-b border-border mb-6" />

web/src/app/home/plugins/components/plugin-market/plugin-market-card/PluginMarketCardComponent.tsx

@@ -1,12 +1,6 @@
 import { PluginMarketCardVO } from './PluginMarketCardVO';
 import { useTranslation } from 'react-i18next';
 import { Badge } from '@/components/ui/badge';
-import {
-  Tooltip,
-  TooltipContent,
-  TooltipProvider,
-  TooltipTrigger,
-} from '@/components/ui/tooltip';
 import {
   Wrench,
   AudioWaveform,
@@ -15,9 +9,8 @@ import {
   ExternalLink,
   Book,
   FileText,
-  Info,
 } from 'lucide-react';
-import { useState, useRef, useEffect } from 'react';
+import { useState } from 'react';
 import { Button } from '@/components/ui/button';
 
 export default function PluginMarketCardComponent({
@@ -31,43 +24,6 @@ export default function PluginMarketCardComponent({
 }) {
   const { t } = useTranslation();
   const [isHovered, setIsHovered] = useState(false);
-  const bottomRef = useRef<HTMLDivElement>(null);
-  const [visibleTags, setVisibleTags] = useState(2);
-
-  // Measure how many tags fit in the bottom row
-  useEffect(() => {
-    const tags = cardVO.tags;
-    if (!bottomRef.current || !tags || tags.length === 0) return;
-
-    const measure = () => {
-      const container = bottomRef.current;
-      if (!container) return;
-      const width = container.offsetWidth;
-      const availableForTags = width - 140 - 80;
-      if (availableForTags <= 0) {
-        setVisibleTags(0);
-        return;
-      }
-      const tagWidth = 80;
-      const plusBadgeWidth = 40;
-      const maxTags = Math.max(
-        0,
-        Math.floor((availableForTags - plusBadgeWidth) / tagWidth),
-      );
-      if (maxTags >= tags.length) {
-        setVisibleTags(tags.length);
-      } else {
-        setVisibleTags(Math.max(1, maxTags));
-      }
-    };
-
-    measure();
-    const observer = new ResizeObserver(measure);
-    observer.observe(bottomRef.current);
-    return () => observer.disconnect();
-  }, [cardVO.tags]);
-
-  const remainingTags = cardVO.tags ? cardVO.tags.length - visibleTags : 0;
 
   function handleInstallClick(e: React.MouseEvent) {
     e.stopPropagation();
@@ -90,13 +46,6 @@ export default function PluginMarketCardComponent({
     Parser: <FileText className="w-4 h-4" />,
   };
 
-  // Plugins that only contain KnowledgeRetriever components are deprecated
-  const isDeprecated = (() => {
-    if (!cardVO.components) return false;
-    const keys = Object.keys(cardVO.components);
-    return keys.length > 0 && keys.every((k) => k === 'KnowledgeRetriever');
-  })();
-
   return (
     <div
       className="w-[100%] h-auto min-h-[8rem] sm:min-h-[9rem] bg-white rounded-[10px] shadow-[0px_0px_4px_0_rgba(0,0,0,0.2)] p-3 sm:p-[1rem] hover:shadow-[0px_3px_6px_0_rgba(0,0,0,0.12)] transition-all duration-200 hover:scale-[1.005] dark:bg-[#1f1f22] relative"
@@ -117,34 +66,8 @@ export default function PluginMarketCardComponent({
               <div className="text-[0.65rem] sm:text-[0.7rem] text-[#666] dark:text-[#999] truncate w-full">
                 {cardVO.pluginId}
               </div>
-              <div className="flex items-center gap-1.5 w-full min-w-0">
-                <div className="text-base sm:text-[1.2rem] text-black dark:text-[#f0f0f0] truncate">
-                  {cardVO.label}
-                </div>
-                {isDeprecated && (
-                  <TooltipProvider delayDuration={200}>
-                    <Tooltip>
-                      <TooltipTrigger
-                        asChild
-                        onClick={(e) => e.preventDefault()}
-                      >
-                        <Badge
-                          variant="outline"
-                          className="text-[0.6rem] px-1.5 py-0 h-4 flex-shrink-0 border-red-400 text-red-500 dark:border-red-500 dark:text-red-400 gap-0.5 cursor-help"
-                        >
-                          {t('market.deprecated')}
-                          <Info className="w-2.5 h-2.5" />
-                        </Badge>
-                      </TooltipTrigger>
-                      <TooltipContent
-                        side="top"
-                        className="max-w-[240px] text-xs"
-                      >
-                        {t('market.deprecatedTooltip')}
-                      </TooltipContent>
-                    </Tooltip>
-                  </TooltipProvider>
-                )}
+              <div className="text-base sm:text-[1.2rem] text-black dark:text-[#f0f0f0] truncate w-full">
+                {cardVO.label}
               </div>
             </div>
 
@@ -172,13 +95,10 @@ export default function PluginMarketCardComponent({
         </div>
 
         {/* 下部分：下载量、标签和组件列表 */}
-        <div
-          ref={bottomRef}
-          className="w-full flex flex-row items-center justify-between gap-2 px-0 sm:px-[0.4rem] flex-shrink-0 overflow-hidden"
-        >
-          <div className="flex flex-row items-center justify-start gap-2 min-w-0 overflow-hidden">
+        <div className="w-full flex flex-row items-center justify-between gap-2 px-0 sm:px-[0.4rem] flex-shrink-0">
+          <div className="flex flex-row items-center justify-start gap-2 flex-wrap">
             {/* 下载数量 */}
-            <div className="flex flex-row items-center gap-[0.3rem] sm:gap-[0.4rem] flex-shrink-0">
+            <div className="flex flex-row items-center gap-[0.3rem] sm:gap-[0.4rem]">
               <svg
                 className="w-4 h-4 sm:w-[1.2rem] sm:h-[1.2rem] text-[#2563eb] dark:text-[#5b8def] flex-shrink-0"
                 xmlns="http://www.w3.org/2000/svg"
@@ -196,14 +116,14 @@ export default function PluginMarketCardComponent({
               </div>
             </div>
 
-            {/* Tags - adaptive */}
-            {cardVO.tags && cardVO.tags.length > 0 && visibleTags > 0 && (
-              <div className="flex flex-row items-center gap-1.5 overflow-hidden flex-shrink min-w-0">
-                {cardVO.tags.slice(0, visibleTags).map((tag) => (
+            {/* Tags */}
+            {cardVO.tags && cardVO.tags.length > 0 && (
+              <div className="flex flex-wrap gap-1.5">
+                {cardVO.tags.slice(0, 2).map((tag) => (
                   <Badge
                     key={tag}
                     variant="secondary"
-                    className="text-[0.65rem] sm:text-[0.7rem] px-2 py-0.5 h-5 flex items-center gap-1 flex-shrink-0 whitespace-nowrap"
+                    className="text-[0.65rem] sm:text-[0.7rem] px-2 py-0.5 h-5 flex items-center gap-1 flex-shrink-0"
                   >
                     <svg
                       className="w-2.5 h-2.5 flex-shrink-0"
@@ -218,17 +138,15 @@ export default function PluginMarketCardComponent({
                       <path d="M20.59 13.41l-7.17 7.17a2 2 0 0 1-2.83 0L2 12V2h10l8.59 8.59a2 2 0 0 1 0 2.82z" />
                       <line x1="7" y1="7" x2="7.01" y2="7" />
                     </svg>
-                    <span className="truncate max-w-[5rem]">
-                      {tagNames[tag] || tag}
-                    </span>
+                    <span className="truncate">{tagNames[tag] || tag}</span>
                   </Badge>
                 ))}
-                {remainingTags > 0 && (
+                {cardVO.tags.length > 2 && (
                   <Badge
                     variant="outline"
-                    className="text-[0.65rem] sm:text-[0.7rem] px-1.5 py-0.5 h-5 flex items-center flex-shrink-0 whitespace-nowrap"
+                    className="text-[0.65rem] sm:text-[0.7rem] px-2 py-0.5 h-5 flex items-center flex-shrink-0"
                   >
-                    +{remainingTags}
+                    +{cardVO.tags.length - 2}
                   </Badge>
                 )}
               </div>

web/src/app/infra/entities/api/index.ts

@@ -262,12 +262,6 @@ export interface ApiRespSystemInfo {
   limitation: SystemLimitation;
 }
 
-export interface RagMigrationStatusResp {
-  needed: boolean;
-  internal_kb_count: number;
-  external_kb_count: number;
-}
-
 export interface ApiRespPluginSystemStatus {
   is_enable: boolean;
   is_connected: boolean;

web/src/app/infra/entities/form/dynamic.ts

@@ -35,7 +35,6 @@ export enum DynamicFormItemType {
   SELECT = 'select',
   LLM_MODEL_SELECTOR = 'llm-model-selector',
   EMBEDDING_MODEL_SELECTOR = 'embedding-model-selector',
-  MODEL_FALLBACK_SELECTOR = 'model-fallback-selector',
   PROMPT_EDITOR = 'prompt-editor',
   UNKNOWN = 'unknown',
   KNOWLEDGE_BASE_SELECTOR = 'knowledge-base-selector',

web/src/app/infra/http/BackendClient.ts

@@ -40,7 +40,6 @@ import {
   ModelProvider,
   ApiRespKnowledgeEngines,
   ApiRespParsers,
-  RagMigrationStatusResp,
 } from '@/app/infra/entities/api';
 import { Plugin } from '@/app/infra/entities/plugin';
 import { GetBotLogsRequest } from '@/app/infra/http/requestParam/bots/GetBotLogsRequest';
@@ -356,7 +355,6 @@ export class BackendClient extends BaseHttpClient {
       is_active: boolean;
       platform: string | null;
       user_id: string | null;
-      user_name: string | null;
     }>;
     total: number;
   }> {
@@ -385,7 +383,6 @@ export class BackendClient extends BaseHttpClient {
       level: string;
       platform: string | null;
       user_id: string | null;
-      user_name: string | null;
       runner_name: string | null;
       variables: string | null;
       role: string | null;
@@ -713,23 +710,6 @@ export class BackendClient extends BaseHttpClient {
     return this.get('/api/v1/system/status/plugin-system');
   }
 
-  // ============ RAG Migration API ============
-  public getRagMigrationStatus(): Promise<RagMigrationStatusResp> {
-    return this.get('/api/v1/knowledge/migration/status');
-  }
-
-  public executeRagMigration(
-    installPlugin: boolean = true,
-  ): Promise<AsyncTaskCreatedResp> {
-    return this.post('/api/v1/knowledge/migration/execute', {
-      install_plugin: installPlugin,
-    });
-  }
-
-  public dismissRagMigration(): Promise<object> {
-    return this.post('/api/v1/knowledge/migration/dismiss');
-  }
-
   public getPluginDebugInfo(): Promise<{
     debug_url: string;
     plugin_debug_key: string;

web/src/app/login/page.tsx

@@ -23,7 +23,7 @@ import {
 import { useEffect, useState } from 'react';
 import { httpClient, initializeUserInfo } from '@/app/infra/http';
 import { useRouter } from 'next/navigation';
-import { Mail, Lock, Loader2, AlertCircle, RefreshCw } from 'lucide-react';
+import { Mail, Lock, Loader2 } from 'lucide-react';
 import langbotIcon from '@/app/assets/langbot-logo.webp';
 import { toast } from 'sonner';
 import { useTranslation } from 'react-i18next';
@@ -46,8 +46,6 @@ export default function Login() {
   const [accountType, setAccountType] = useState<AccountType | null>(null);
   const [hasPassword, setHasPassword] = useState(false);
   const [loading, setLoading] = useState(true);
-  const [loadError, setLoadError] = useState<string | null>(null);
-  const [retrying, setRetrying] = useState(false);
 
   const form = useForm<z.infer<ReturnType<typeof formSchema>>>({
     resolver: zodResolver(formSchema(t)),
@@ -63,7 +61,6 @@ export default function Login() {
 
   async function checkAccountInfo() {
     try {
-      setLoadError(null);
       const res = await httpClient.getAccountInfo();
       if (!res.initialized) {
         router.push('/register');
@@ -75,22 +72,11 @@ export default function Login() {
 
       // Also check if already logged in
       checkIfAlreadyLoggedIn();
-    } catch (err) {
-      const errorMessage =
-        err instanceof Error ? err.message : t('common.loginLoadError');
-      setLoadError(errorMessage);
+    } catch {
       setLoading(false);
     }
   }
 
-  async function handleRetry() {
-    setRetrying(true);
-    setLoading(true);
-    setLoadError(null);
-    await checkAccountInfo();
-    setRetrying(false);
-  }
-
   function checkIfAlreadyLoggedIn() {
     httpClient
       .checkUserToken()
@@ -143,54 +129,6 @@ export default function Login() {
     );
   }
 
-  // Show error state when account info failed to load
-  if (loadError) {
-    return (
-      <div className="min-h-screen flex items-center justify-center bg-gray-50 dark:bg-neutral-900">
-        <Card className="w-[375px] shadow-lg dark:shadow-white/10">
-          <CardHeader>
-            <div className="flex justify-between items-center mb-6">
-              <ThemeToggle />
-              <LanguageSelector />
-            </div>
-            <img
-              src={langbotIcon.src}
-              alt="LangBot"
-              className="w-16 h-16 mb-4 mx-auto"
-            />
-            <CardTitle className="text-2xl text-center">
-              {t('common.welcome')}
-            </CardTitle>
-          </CardHeader>
-          <CardContent className="space-y-4">
-            <div className="flex flex-col items-center gap-3 py-4">
-              <AlertCircle className="h-10 w-10 text-destructive" />
-              <p className="text-sm text-center text-muted-foreground">
-                {t('common.loginLoadErrorDesc')}
-              </p>
-              <code className="text-xs bg-muted px-3 py-2 rounded max-w-full overflow-x-auto block text-center text-muted-foreground">
-                {loadError}
-              </code>
-              <Button
-                onClick={handleRetry}
-                disabled={retrying}
-                variant="outline"
-                className="mt-2 cursor-pointer"
-              >
-                {retrying ? (
-                  <Loader2 className="mr-2 h-4 w-4 animate-spin" />
-                ) : (
-                  <RefreshCw className="mr-2 h-4 w-4" />
-                )}
-                {t('common.retry')}
-              </Button>
-            </div>
-          </CardContent>
-        </Card>
-      </div>
-    );
-  }
-
   // Determine what to show based on account type
   const showLocalLogin =
     accountType === 'local' || (accountType === 'space' && hasPassword);
@@ -346,27 +284,6 @@ export default function Login() {
               </form>
             </Form>
           )}
-
-          <p className="text-xs text-center text-muted-foreground">
-            {t('common.agreementNotice')}{' '}
-            <a
-              href="https://langbot.app/privacy"
-              target="_blank"
-              rel="noopener noreferrer"
-              className="underline hover:text-foreground transition-colors"
-            >
-              {t('common.privacyPolicy')}
-            </a>{' '}
-            {t('common.and')}{' '}
-            <a
-              href={t('common.dataCollectionPolicyUrl')}
-              target="_blank"
-              rel="noopener noreferrer"
-              className="underline hover:text-foreground transition-colors"
-            >
-              {t('common.dataCollectionPolicy')}
-            </a>
-          </p>
         </CardContent>
       </Card>
     </div>

web/src/app/register/page.tsx

@@ -253,27 +253,6 @@ export default function Register() {
               </Button>
             </form>
           </Form>
-
-          <p className="text-xs text-center text-muted-foreground">
-            {t('common.agreementNotice')}{' '}
-            <a
-              href="https://langbot.app/privacy"
-              target="_blank"
-              rel="noopener noreferrer"
-              className="underline hover:text-foreground transition-colors"
-            >
-              {t('common.privacyPolicy')}
-            </a>{' '}
-            {t('common.and')}{' '}
-            <a
-              href={t('common.dataCollectionPolicyUrl')}
-              target="_blank"
-              rel="noopener noreferrer"
-              className="underline hover:text-foreground transition-colors"
-            >
-              {t('common.dataCollectionPolicy')}
-            </a>
-          </p>
         </CardContent>
       </Card>
     </div>

web/src/i18n/locales/en-US.ts

@@ -11,10 +11,6 @@ const enUS = {
     continueToLogin: 'Login to continue',
     loginSuccess: 'Login successful',
     loginFailed: 'Login failed, please check your email and password',
-    loginLoadError: 'Unable to connect to server',
-    loginLoadErrorDesc:
-      'Unable to connect to the LangBot backend. Please make sure the service is running and try again.',
-    retry: 'Retry',
     enterEmail: 'Enter email address',
     enterPassword: 'Enter password',
     invalidEmail: 'Please enter a valid email address',
@@ -51,12 +47,6 @@ const enUS = {
     copyFailed: 'Copy Failed',
     test: 'Test',
     forgotPassword: 'Forgot Password?',
-    agreementNotice: 'By continuing, you agree to our',
-    privacyPolicy: 'Privacy Policy',
-    and: 'and',
-    dataCollectionPolicy: 'Data Collection Policy',
-    dataCollectionPolicyUrl:
-      'https://docs.langbot.app/en/insight/data-collection-policy',
     loading: 'Loading...',
     fieldRequired: 'This field is required',
     or: 'or',
@@ -240,11 +230,6 @@ const enUS = {
     modelsCount: '{{count}} model(s)',
     expandModels: 'Expand',
     collapseModels: 'Collapse',
-    fallback: {
-      primary: 'Primary Model',
-      fallbackList: 'Fallback Models',
-      addFallback: 'Add Fallback Model',
-    },
   },
   bots: {
     title: 'Bots',
@@ -288,8 +273,6 @@ const enUS = {
     webhookUrlCopied: 'Webhook URL copied',
     webhookUrlHint:
       'Click the input to select all, then press Ctrl+C (Mac: Cmd+C) to copy, or click the button',
-    webhookUrlHintEither:
-      'Use either of the two URLs above in your platform configuration',
     logLevel: 'Log Level',
     allLevels: 'All Levels',
     selectLevel: 'Select Level',
@@ -500,9 +483,6 @@ const enUS = {
     allComponents: 'All Components',
     requestPlugin: 'Request Plugin',
     viewDetails: 'View Details',
-    deprecated: 'Deprecated',
-    deprecatedTooltip:
-      'Please install the corresponding Knowledge Engine plugin.',
     tags: {
       filterByTags: 'Filter by Tags',
       selected: 'selected',
@@ -727,7 +707,7 @@ const enUS = {
     cannotChangeEmbeddingModel:
       'Knowledge base created cannot be modified embedding model',
     updateKnowledgeBaseSuccess: 'Knowledge base updated successfully',
-    updateKnowledgeBaseFailed: 'Knowledge base update failed: ',
+    updateKnowledgeBaseFailed: 'Knowledge base update failed',
     documentsTab: {
       name: 'Name',
       status: 'Status',
@@ -737,14 +717,14 @@ const enUS = {
       supportedFormats:
         'Supports PDF, Word, TXT, Markdown, HTML, ZIP and other document formats',
       uploadSuccess: 'File uploaded successfully!',
-      uploadError: 'File upload failed: ',
+      uploadError: 'File upload failed, please try again',
       uploadingFile: 'Uploading file...',
       fileSizeExceeded:
         'File size exceeds 10MB limit. Please split into smaller files.',
       actions: 'Actions',
       delete: 'Delete File',
       fileDeleteSuccess: 'File deleted successfully',
-      fileDeleteFailed: 'File deletion failed: ',
+      fileDeleteFailed: 'File deletion failed',
       processing: 'Processing',
       completed: 'Completed',
       failed: 'Failed',
@@ -765,7 +745,7 @@ const enUS = {
     content: 'Content',
     fileName: 'File Name',
     noResults: 'No results',
-    retrieveError: 'Retrieve failed: ',
+    retrieveError: 'Retrieve failed',
     unknownEngine: 'Unknown Engine',
     knowledgeEngine: 'Knowledge Engine',
     knowledgeEngineRequired: 'Knowledge engine is required',
@@ -777,10 +757,10 @@ const enUS = {
     engineSettingsReadonly: 'read-only in edit mode',
     retrievalSettings: 'Retrieval Settings',
     noEnginesAvailable: 'No knowledge base engines available',
-    installEngineHint: 'Please install a "Knowledge Engine" plugin first',
-    createKnowledgeBaseFailed: 'Failed to create knowledge base: ',
-    loadKnowledgeBaseFailed: 'Failed to load knowledge base: ',
-    deleteKnowledgeBaseFailed: 'Failed to delete knowledge base: ',
+    installEngineHint: 'Please install a knowledge base plugin first',
+    createKnowledgeBaseFailed: 'Failed to create knowledge base',
+    loadKnowledgeBaseFailed: 'Failed to load knowledge base',
+    deleteKnowledgeBaseFailed: 'Failed to delete knowledge base',
     getKnowledgeBaseListError: 'Failed to get knowledge base list: ',
     embeddingModel: 'Embedding Model',
     embeddingModelRequired: 'Embedding model is required for this engine',
@@ -793,23 +773,6 @@ const enUS = {
     retrieverConfiguration: 'Retriever Configuration',
     retrieverInstallInfo: 'You can install Knowledge Retriever plugins from',
     retrieverMarketLink: 'here',
-    migration: {
-      title: 'Knowledge Base Migration',
-      description:
-        'The new version has refactored the knowledge base into a plugin-based architecture, unifying built-in and external knowledge bases as "Knowledge Engine" plugins. Migration of legacy knowledge base data is required. Your old data has been automatically backed up in the database.',
-      detected:
-        'Found {{total}} knowledge base(s) to migrate ({{internal}} internal, {{external}} external).',
-      startWithInstall: 'Auto-install Plugin & Migrate',
-      startDataOnly: 'Migrate Data Only',
-      dataOnlyHint:
-        '"Migrate Data Only" is for offline/intranet environments. Please install the corresponding plugin manually after migration.',
-      dismiss: 'Discard Original Data',
-      running: 'Migrating knowledge bases, please wait...',
-      success: 'Knowledge base migration completed',
-      error: 'Knowledge base migration failed: ',
-      dismissError: 'Operation failed',
-      retry: 'Retry',
-    },
   },
   register: {
     title: 'Initialize LangBot 👋',