feat: update langbot-plugin to version 0.3.7

Add ability for admin operators to take over user conversation sessions
from the AI bot, manually reply as the bot, and release sessions back to
AI processing.

Backend:
- New HumanTakeoverSession DB model and migration (v26)
- HumanTakeoverService with in-memory cache for hot-path performance
- REST API endpoints for takeover/release/send-message/list/detail
- Message interception in botmgr.py (after webhook, before pipeline)

Frontend:
- Takeover/release controls in BotSessionMonitor chat header
- Operator message input bar with visual distinction (orange theme)
- Taken-over session indicators in session list
- 3-second auto-refresh polling during active takeover
- Full i18n coverage across all 7 locales

.github/workflows/check-i18n.yml

@@ -1,25 +0,0 @@
-name: Check i18n Keys
-
-on:
-  push:
-    branches:
-      - main
-      - master
-
-jobs:
-  check-i18n:
-    name: Check i18n Key Consistency
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Setup Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20'
-
-      - name: Check i18n keys against en-US reference
-        run: node web/scripts/check-i18n.mjs

.github/workflows/test-migrations.yml

@@ -1,171 +0,0 @@
-name: Test Migrations
-
-on:
-  push:
-    branches:
-      - main
-      - master
-      - dev
-    paths:
-      - 'src/langbot/pkg/persistence/**'
-      - 'src/langbot/pkg/entity/persistence/**'
-  pull_request:
-    types: [opened, synchronize, reopened, ready_for_review]
-    paths:
-      - 'src/langbot/pkg/persistence/**'
-      - 'src/langbot/pkg/entity/persistence/**'
-
-jobs:
-  test-migrations-sqlite:
-    name: Migrations (SQLite)
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.12'
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v4
-
-      - name: Install dependencies
-        run: uv sync --dev
-
-      - name: Test Alembic upgrade (SQLite)
-        run: |
-          uv run python -c "
-          import asyncio
-          from sqlalchemy.ext.asyncio import create_async_engine
-          from langbot.pkg.entity.persistence.base import Base
-          from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade, run_alembic_stamp, get_alembic_current
-
-          async def main():
-              engine = create_async_engine('sqlite+aiosqlite:///test_migrations.db')
-
-              # Create all tables (simulates existing DB)
-              async with engine.begin() as conn:
-                  await conn.run_sync(Base.metadata.create_all)
-
-              # Stamp baseline
-              await run_alembic_stamp(engine, '0001_baseline')
-              rev = await get_alembic_current(engine)
-              assert rev == '0001_baseline', f'Expected 0001_baseline, got {rev}'
-              print(f'Stamped: {rev}')
-
-              # Upgrade to head
-              await run_alembic_upgrade(engine, 'head')
-              rev = await get_alembic_current(engine)
-              print(f'After upgrade: {rev}')
-              assert rev is not None, 'Expected a revision after upgrade'
-
-              # Verify idempotent
-              await run_alembic_upgrade(engine, 'head')
-              rev2 = await get_alembic_current(engine)
-              assert rev2 == rev, f'Expected {rev}, got {rev2}'
-              print(f'Idempotent check passed: {rev2}')
-
-              # Fresh DB: upgrade from scratch
-              engine2 = create_async_engine('sqlite+aiosqlite:///test_migrations_fresh.db')
-              async with engine2.begin() as conn:
-                  await conn.run_sync(Base.metadata.create_all)
-              await run_alembic_upgrade(engine2, 'head')
-              rev3 = await get_alembic_current(engine2)
-              print(f'Fresh DB upgrade: {rev3}')
-              assert rev3 is not None
-
-              print('All SQLite migration tests passed!')
-
-          asyncio.run(main())
-          "
-
-  test-migrations-postgres:
-    name: Migrations (PostgreSQL)
-    runs-on: ubuntu-latest
-    services:
-      postgres:
-        image: postgres:16
-        env:
-          POSTGRES_USER: langbot
-          POSTGRES_PASSWORD: langbot
-          POSTGRES_DB: langbot_test
-        ports:
-          - 5432:5432
-        options: >-
-          --health-cmd="pg_isready -U langbot"
-          --health-interval=5s
-          --health-timeout=5s
-          --health-retries=5
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.12'
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v4
-
-      - name: Install dependencies
-        run: uv sync --dev
-
-      - name: Test Alembic upgrade (PostgreSQL)
-        run: |
-          uv run python -c "
-          import asyncio
-          from sqlalchemy.ext.asyncio import create_async_engine
-          from langbot.pkg.entity.persistence.base import Base
-          from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade, run_alembic_stamp, get_alembic_current
-
-          DB_URL = 'postgresql+asyncpg://langbot:langbot@localhost:5432/langbot_test'
-
-          async def main():
-              engine = create_async_engine(DB_URL)
-
-              # Create all tables
-              async with engine.begin() as conn:
-                  await conn.run_sync(Base.metadata.create_all)
-
-              # Stamp baseline
-              await run_alembic_stamp(engine, '0001_baseline')
-              rev = await get_alembic_current(engine)
-              assert rev == '0001_baseline', f'Expected 0001_baseline, got {rev}'
-              print(f'Stamped: {rev}')
-
-              # Upgrade to head
-              await run_alembic_upgrade(engine, 'head')
-              rev = await get_alembic_current(engine)
-              print(f'After upgrade: {rev}')
-              assert rev is not None
-
-              # Verify idempotent
-              await run_alembic_upgrade(engine, 'head')
-              rev2 = await get_alembic_current(engine)
-              assert rev2 == rev, f'Expected {rev}, got {rev2}'
-              print(f'Idempotent check passed: {rev2}')
-
-              # Fresh DB: drop all and upgrade from scratch
-              engine2 = create_async_engine(DB_URL.replace('langbot_test', 'langbot_fresh'))
-
-              # Create fresh database
-              from sqlalchemy import text
-              async with engine.connect() as conn:
-                  await conn.execute(text('COMMIT'))
-                  await conn.execute(text('CREATE DATABASE langbot_fresh'))
-
-              async with engine2.begin() as conn:
-                  await conn.run_sync(Base.metadata.create_all)
-              await run_alembic_upgrade(engine2, 'head')
-              rev3 = await get_alembic_current(engine2)
-              print(f'Fresh DB upgrade: {rev3}')
-              assert rev3 is not None
-
-              print('All PostgreSQL migration tests passed!')
-
-          asyncio.run(main())
-          "

AGENTS.md

@@ -70,7 +70,7 @@ Plugin Runtime automatically starts each installed plugin and interacts through
     - type: must be a specific type, such as feat (new feature), fix (bug fix), docs (documentation), style (code style), refactor (refactoring), perf (performance optimization), etc.
     - scope: the scope of the commit, such as the package name, the file name, the function name, the class name, the module name, etc.
     - subject: the subject of the commit, such as the description of the commit, the reason for the commit, the impact of the commit, etc.
-- LangBot uses [Alembic](https://alembic.sqlalchemy.org/) to manage database migrations, supporting both SQLite and PostgreSQL. Migration files are located in `src/langbot/pkg/persistence/alembic/versions/`. If you changed the definition of database entities (ORM models), generate a new migration script by running `uv run python -m langbot.pkg.persistence.alembic_runner autogenerate "description of your change"` in the project root (requires `data/config.yaml` to exist). Review and edit the generated script before committing. Migrations are executed automatically on LangBot startup. For data migrations (e.g. modifying JSON field content), you need to manually add the migration code in the generated script.
+- If you changed the definition of database entities, please update the migration file in `src/langbot/pkg/persistence/migrations/` and update the constants.py file in `src/langbot/pkg/utils/constants.py` with the new migration number.
 
 ## Some Principles
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.9.6"
+version = "4.9.5"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -8,7 +8,7 @@ requires-python = ">=3.11,<4.0"
 dependencies = [
     "aiocqhttp>=1.4.4",
     "aiofiles>=24.1.0",
-    "aiohttp>=3.13.4",
+    "aiohttp>=3.11.18",
     "aioshutil>=1.5",
     "aiosqlite>=0.21.0",
     "anthropic>=0.51.0",
@@ -16,7 +16,7 @@ dependencies = [
     "async-lru>=2.0.5",
     "certifi>=2025.4.26",
     "colorlog~=6.6.0",
-    "cryptography>=46.0.7",
+    "cryptography>=44.0.3",
     "dashscope>=1.25.10",
     "dingtalk-stream>=0.24.0",
     "discord-py>=2.5.2",
@@ -27,7 +27,7 @@ dependencies = [
     "nakuru-project-idk>=0.0.2.1",
     "ollama>=0.4.8",
     "openai>1.0.0",
-    "pillow>=12.2.0",
+    "pillow>=11.2.1",
     "psutil>=7.0.0",
     "pycryptodome>=3.22.0",
     "pydantic>2.0",
@@ -39,7 +39,6 @@ dependencies = [
     "quart-cors>=0.8.0",
     "requests>=2.32.3",
     "slack-sdk>=3.35.0",
-    "alembic>=1.15.0",
     "sqlalchemy[asyncio]>=2.0.40",
     "sqlmodel>=0.0.24",
     "telegramify-markdown>=0.5.1",
@@ -50,7 +49,7 @@ dependencies = [
     "pip>=25.1.1",
     "ruff>=0.11.9",
     "pre-commit>=4.2.0",
-    "uv>=0.11.6",
+    "uv>=0.7.11",
     "mypy>=1.16.0",
     "PyPDF2>=3.0.1",
     "python-docx>=1.1.0",
@@ -61,15 +60,11 @@ dependencies = [
     "ebooklib>=0.18",
     "html2text>=2024.2.26",
     "langchain>=0.2.0",
-    "langchain-core>=1.2.28",
-    "langsmith>=0.7.31",
-    "python-multipart>=0.0.26",
-    "Mako>=1.3.11",
-    "langchain-text-splitters>=1.1.2",
+    "langchain-text-splitters>=0.0.1",
     "chromadb>=1.0.0,<2.0.0",
     "qdrant-client (>=1.15.1,<2.0.0)",
     "pyseekdb==1.1.0.post3",
-    "langbot-plugin==0.3.8",
+    "langbot-plugin==0.3.7",
     "asyncpg>=0.30.0",
     "line-bot-sdk>=3.19.0",
     "tboxsdk>=0.0.10",
@@ -116,12 +111,12 @@ requires = ["setuptools>=61.0", "wheel"]
 build-backend = "setuptools.build_meta"
 
 [tool.setuptools]
-package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/dist/**", "pkg/persistence/alembic/**"] }
+package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/dist/**"] }
 
 [dependency-groups]
 dev = [
     "pre-commit>=4.2.0",
-    "pytest>=9.0.3",
+    "pytest>=8.4.1",
     "pytest-asyncio>=1.0.0",
     "pytest-cov>=7.0.0",
     "ruff>=0.11.9",

src/langbot/__init__.py

@@ -1,3 +1,3 @@
 """LangBot - Production-grade platform for building agentic IM bots"""
 
-__version__ = '4.9.6'
+__version__ = '4.9.5'

src/langbot/libs/dingtalk_api/api.py

@@ -182,88 +182,6 @@ class DingTalkClient:
             for handler in self._message_handlers[msg_type]:
                 await handler(event)
 
-    async def _parse_quoted_message(self, replied_msg: dict) -> dict:
-        """Parse the quoted/replied message and extract its content.
-
-        Args:
-            replied_msg: The repliedMsg object from DingTalk message
-
-        Returns:
-            A dict containing the quoted message info with keys:
-            - message_id: The original message ID
-            - msg_type: The message type (text, file, picture, audio, etc.)
-            - content: The text content (if any)
-            - file_url: The file download URL (if file type)
-            - file_name: The file name (if file type)
-            - picture: The picture base64 (if picture type)
-            - audio: The audio base64 (if audio type)
-        """
-        quote_info = {
-            'message_id': replied_msg.get('msgId', ''),
-            'msg_type': replied_msg.get('msgType', ''),
-            'sender_id': replied_msg.get('senderId', ''),
-        }
-
-        msg_type = replied_msg.get('msgType', '')
-        content = replied_msg.get('content', {})
-
-        # Handle content as string (JSON) or dict
-        if isinstance(content, str):
-            try:
-                content = json.loads(content)
-            except (json.JSONDecodeError, TypeError):
-                content = {}
-
-        if msg_type == 'text':
-            # Text message
-            if isinstance(content, dict):
-                quote_info['content'] = content.get('content', '')
-            else:
-                quote_info['content'] = str(content)
-
-        elif msg_type == 'file':
-            # File message
-            download_code = content.get('downloadCode')
-            file_name = content.get('fileName')
-            if download_code and file_name:
-                try:
-                    quote_info['file_url'] = await self.get_file_url(download_code)
-                    quote_info['file_name'] = file_name
-                except Exception as e:
-                    if self.logger:
-                        await self.logger.error(f'Failed to get quoted file URL: {e}')
-
-        elif msg_type == 'picture':
-            # Picture message
-            download_code = content.get('downloadCode')
-            if download_code:
-                try:
-                    quote_info['picture'] = await self.download_image(download_code)
-                except Exception as e:
-                    if self.logger:
-                        await self.logger.error(f'Failed to download quoted image: {e}')
-
-        elif msg_type == 'audio':
-            # Audio message
-            download_code = content.get('downloadCode')
-            if download_code:
-                try:
-                    quote_info['audio'] = await self.get_audio_url(download_code)
-                except Exception as e:
-                    if self.logger:
-                        await self.logger.error(f'Failed to get quoted audio: {e}')
-
-        elif msg_type == 'richText':
-            # Rich text message - extract text content
-            rich_text = content.get('richText', [])
-            texts = []
-            for item in rich_text:
-                if 'text' in item and item['text'] != '\n':
-                    texts.append(item['text'])
-            quote_info['content'] = '\n'.join(texts)
-
-        return quote_info
-
     async def get_message(self, incoming_message: dingtalk_stream.chatbot.ChatbotMessage):
         try:
             # print(json.dumps(incoming_message.to_dict(), indent=4, ensure_ascii=False))
@@ -275,15 +193,6 @@ class DingTalkClient:
             elif str(incoming_message.conversation_type) == '2':
                 message_data['conversation_type'] = 'GroupMessage'
 
-            # Check for quoted/replied message
-            raw_data = incoming_message.to_dict()
-            text_data = raw_data.get('text', {})
-            if isinstance(text_data, dict) and text_data.get('isReplyMsg'):
-                replied_msg = text_data.get('repliedMsg', {})
-                if replied_msg:
-                    quote_info = await self._parse_quoted_message(replied_msg)
-                    message_data['QuotedMessage'] = quote_info
-
             if incoming_message.message_type == 'richText':
                 data = incoming_message.rich_text_content.to_dict()
 
@@ -359,25 +268,7 @@ class DingTalkClient:
 
                 message_data['Type'] = 'image'
             elif incoming_message.message_type == 'audio':
-                raw_content = incoming_message.to_dict().get('content', {})
-                # 兼容处理：如果 content 仍为 JSON 字符串则进行解析
-                if isinstance(raw_content, str):
-                    try:
-                        raw_content = json.loads(raw_content)
-                    except (json.JSONDecodeError, TypeError):
-                        raw_content = {}
-
-                if self.logger:
-                    await self.logger.info(f'DingTalk audio raw content: {json.dumps(raw_content, ensure_ascii=False)}')
-
-                # 提取钉钉自带的语音转写文字（Powered by Qwen）
-                recognition = raw_content.get('recognition', '')
-                if recognition:
-                    message_data['Content'] = recognition
-
-                download_code = raw_content.get('downloadCode')
-                if download_code:
-                    message_data['Audio'] = await self.get_audio_url(download_code)
+                message_data['Audio'] = await self.get_audio_url(incoming_message.to_dict()['content']['downloadCode'])
 
                 message_data['Type'] = 'audio'
             elif incoming_message.message_type == 'file':

src/langbot/libs/dingtalk_api/dingtalkevent.py

@@ -47,22 +47,6 @@ class DingTalkEvent(dict):
     def conversation(self):
         return self.get('conversation_type', '')
 
-    @property
-    def quoted_message(self) -> Optional[Dict[str, Any]]:
-        """Get the quoted/replied message info if this is a reply message.
-
-        Returns:
-            A dict containing:
-            - message_id: The original message ID
-            - msg_type: The message type (text, file, picture, audio, etc.)
-            - content: The text content (if any)
-            - file_url: The file download URL (if file type)
-            - file_name: The file name (if file type)
-            - picture: The picture base64 (if picture type)
-            - audio: The audio base64 (if audio type)
-        """
-        return self.get('QuotedMessage')
-
     def __getattr__(self, key: str) -> Optional[Any]:
         """
         允许通过属性访问数据中的任意字段。

src/langbot/libs/wecom_ai_bot_api/api.py

@@ -71,11 +71,6 @@ class StreamSession:
 class StreamSessionManager:
     """管理 stream 会话的生命周期，并负责队列的生产消费。"""
 
-    # Sessions with registered feedback_ids use a longer TTL to survive the
-    # full like → cancel → dislike feedback flow. Must align with the adapter's
-    # _stream_to_monitoring_msg TTL (wecombot.py).
-    _FEEDBACK_SESSION_TTL = 600  # 10 minutes
-
     def __init__(self, logger: EventLogger, ttl: int = 60) -> None:
         self.logger = logger
 
@@ -219,17 +214,11 @@ class StreamSessionManager:
             session.last_access = time.time()
 
     def cleanup(self) -> None:
-        """定期清理过期会话，防止队列与映射无上限累积。
-
-        已注册 feedback_id 的会话使用更长的 TTL，确保用户在点赞/取消/点踩流程中
-        不会因为 session 被提前清除而丢失上下文信息。
-        """
+        """定期清理过期会话，防止队列与映射无上限累积。"""
         now = time.time()
         expired: list[str] = []
         for stream_id, session in self._sessions.items():
-            # Sessions with registered feedback_ids use a longer TTL
-            effective_ttl = self._FEEDBACK_SESSION_TTL if session.feedback_id else self.ttl
-            if now - session.last_access > effective_ttl:
+            if now - session.last_access > self.ttl:
                 expired.append(stream_id)
 
         for stream_id in expired:
@@ -239,9 +228,6 @@ class StreamSessionManager:
             msg_id = session.msg_id
             if msg_id and self._msg_index.get(msg_id) == stream_id:
                 self._msg_index.pop(msg_id, None)
-            # Clean up feedback index for expired sessions
-            if session.feedback_id:
-                self._feedback_index.pop(session.feedback_id, None)
 
 
 def _decrypt_file(encrypted_data: bytes, aes_key_str: str) -> bytes:
@@ -606,120 +592,6 @@ async def parse_wecom_bot_message(
     if msg_json.get('aibotid'):
         message_data['aibotid'] = msg_json.get('aibotid', '')
 
-    # Handle quote (referenced message) - important for group chat file references
-    quote_info = msg_json.get('quote')
-    if quote_info:
-        quote_data: dict[str, Any] = {}
-        quote_type = quote_info.get('msgtype', '')
-        quote_data['msgtype'] = quote_type
-
-        if quote_type == 'text':
-            quote_data['content'] = quote_info.get('text', {}).get('content', '')
-        elif quote_type == 'image':
-            img_info = quote_info.get('image', {})
-            img_url = img_info.get('url', '')
-            img_aeskey = img_info.get('aeskey', '')
-            base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
-            if base64_data:
-                quote_data['picurl'] = base64_data
-                quote_data['images'] = [base64_data]
-        elif quote_type == 'file':
-            file_info = quote_info.get('file', {}) or {}
-            download_url = file_info.get('url') or file_info.get('fileurl')
-            item_aeskey = file_info.get('aeskey', '')
-            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,
-            }
-            # Same as private chat: append aeskey to download_url for plugin processing
-            if download_url and item_aeskey:
-                file_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
-            quote_data['file'] = file_data
-        elif quote_type == 'voice':
-            voice_info = quote_info.get('voice', {}) or {}
-            download_url = voice_info.get('url')
-            item_aeskey = voice_info.get('aeskey', '')
-            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'):
-                quote_data['content'] = voice_info.get('content')
-            # Same as private chat: append aeskey to url for plugin processing
-            if download_url and item_aeskey:
-                voice_data['url'] = download_url + f'?aeskey={item_aeskey}'
-            quote_data['voice'] = voice_data
-        elif quote_type == 'video':
-            video_info = quote_info.get('video', {}) or {}
-            download_url = video_info.get('url')
-            item_aeskey = video_info.get('aeskey', '')
-            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'),
-            }
-            # Same as private chat: append aeskey to download_url for plugin processing
-            if download_url and item_aeskey:
-                video_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
-            quote_data['video'] = video_data
-        elif quote_type == 'link':
-            quote_data['link'] = quote_info.get('link', {})
-            link = quote_data['link']
-            title = link.get('title', '')
-            desc = link.get('description') or link.get('digest', '')
-            quote_data['content'] = '\n'.join(filter(None, [title, desc]))
-        elif quote_type == 'mixed':
-            # Handle mixed type in quote (text + images + files etc.)
-            items = quote_info.get('mixed', {}).get('msg_item', [])
-            texts = []
-            images = []
-            files = []
-            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_info = item.get('image', {})
-                    img_url = img_info.get('url')
-                    img_aeskey = img_info.get('aeskey', '')
-                    base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
-                    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')
-                    item_aeskey = file_info.get('aeskey', '')
-                    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,
-                    }
-                    # Same as private chat: append aeskey to download_url for plugin processing
-                    if download_url and item_aeskey:
-                        file_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
-                    files.append(file_data)
-            if texts:
-                quote_data['content'] = ' '.join(texts)
-            if images:
-                quote_data['images'] = images
-                quote_data['picurl'] = images[0]
-            if files:
-                quote_data['files'] = files
-                quote_data['file'] = files[0]
-
-        message_data['quote'] = quote_data
-
     return message_data
 
 
@@ -1031,38 +903,35 @@ class WecomBotClient:
             )
 
             session = self.stream_sessions.get_session_by_feedback_id(feedback_id)
-
             if session:
                 await self.logger.info(
                     f'反馈关联到会话: stream_id={session.stream_id}, msg_id={session.msg_id}, user_id={session.user_id}'
                 )
+                for handler in self._message_handlers.get('feedback', []):
+                    try:
+                        await handler(
+                            feedback_id=feedback_id,
+                            feedback_type=feedback_type,
+                            feedback_content=feedback_content,
+                            inaccurate_reasons=inaccurate_reasons,
+                            session=session,
+                        )
+                    except Exception:
+                        await self.logger.error(traceback.format_exc())
+
+                if self._feedback_callback:
+                    try:
+                        await self._feedback_callback(
+                            feedback_id=feedback_id,
+                            feedback_type=feedback_type,
+                            feedback_content=feedback_content,
+                            inaccurate_reasons=inaccurate_reasons,
+                            session=session,
+                        )
+                    except Exception:
+                        await self.logger.error(traceback.format_exc())
             else:
-                await self.logger.warning(f'未找到 feedback_id={feedback_id} 对应的会话，仍将记录反馈')
-
-            # Dispatch feedback event regardless of session availability
-            for handler in self._message_handlers.get('feedback', []):
-                try:
-                    await handler(
-                        feedback_id=feedback_id,
-                        feedback_type=feedback_type,
-                        feedback_content=feedback_content,
-                        inaccurate_reasons=inaccurate_reasons,
-                        session=session,
-                    )
-                except Exception:
-                    await self.logger.error(traceback.format_exc())
-
-            if self._feedback_callback:
-                try:
-                    await self._feedback_callback(
-                        feedback_id=feedback_id,
-                        feedback_type=feedback_type,
-                        feedback_content=feedback_content,
-                        inaccurate_reasons=inaccurate_reasons,
-                        session=session,
-                    )
-                except Exception:
-                    await self.logger.error(traceback.format_exc())
+                await self.logger.warning(f'未找到 feedback_id={feedback_id} 对应的会话')
 
         except Exception:
             await self.logger.error(traceback.format_exc())

src/langbot/libs/wecom_ai_bot_api/wecombotevent.py

@@ -147,10 +147,3 @@ class WecomBotEvent(dict):
         流式消息 ID
         """
         return self.get('stream_id', '')
-
-    @property
-    def quote(self):
-        """
-        引用消息信息（群聊中用户引用其他消息时返回）
-        """
-        return self.get('quote', {})

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

@@ -0,0 +1,97 @@
+from __future__ import annotations
+
+import quart
+
+from .. import group
+
+
+@group.group_class('human-takeover', '/api/v1/human-takeover')
+class HumanTakeoverRouterGroup(group.RouterGroup):
+    async def initialize(self) -> None:
+        @self.route('/sessions', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def get_sessions():
+            """Get list of takeover sessions, optionally filtered by bot UUID."""
+            bot_uuid = quart.request.args.get('botUuid')
+            limit = int(quart.request.args.get('limit', 100))
+            offset = int(quart.request.args.get('offset', 0))
+
+            sessions, total = await self.ap.human_takeover_service.get_active_sessions(
+                bot_uuid=bot_uuid if bot_uuid else None,
+                limit=limit,
+                offset=offset,
+            )
+
+            return self.success(
+                data={
+                    'sessions': sessions,
+                    'total': total,
+                    'limit': limit,
+                    'offset': offset,
+                }
+            )
+
+        @self.route('/sessions/<session_id>', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def get_session_detail(session_id: str):
+            """Get detail for a specific takeover session."""
+            detail = await self.ap.human_takeover_service.get_session_detail(session_id)
+            if not detail:
+                return self.success(data={'found': False, 'session_id': session_id})
+            return self.success(data={'found': True, 'session': detail})
+
+        @self.route('/sessions/<session_id>/takeover', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def takeover_session(session_id: str, user_email: str = None):
+            """Take over a conversation session."""
+            data = await quart.request.get_json(silent=True) or {}
+
+            bot_uuid = data.get('bot_uuid')
+            if not bot_uuid:
+                return self.fail(-1, 'bot_uuid is required')
+
+            platform = data.get('platform')
+            user_id = data.get('user_id')
+            user_name = data.get('user_name')
+
+            try:
+                result = await self.ap.human_takeover_service.takeover_session(
+                    session_id=session_id,
+                    bot_uuid=bot_uuid,
+                    taken_by=user_email or data.get('taken_by'),
+                    platform=platform,
+                    user_id=user_id,
+                    user_name=user_name,
+                )
+                return self.success(data=result)
+            except ValueError as e:
+                return self.fail(-1, str(e))
+
+        @self.route('/sessions/<session_id>/release', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def release_session(session_id: str):
+            """Release a taken-over session back to AI pipeline."""
+            try:
+                result = await self.ap.human_takeover_service.release_session(session_id)
+                return self.success(data=result)
+            except ValueError as e:
+                return self.fail(-1, str(e))
+
+        @self.route('/sessions/<session_id>/message', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def send_message(session_id: str, user_email: str = None):
+            """Send a message from the operator to the user."""
+            data = await quart.request.get_json(silent=True) or {}
+
+            message_text = data.get('message')
+            if not message_text:
+                return self.fail(-1, 'message is required')
+
+            operator_name = user_email or data.get('operator_name', 'Operator')
+
+            try:
+                result = await self.ap.human_takeover_service.send_message(
+                    session_id=session_id,
+                    message_text=message_text,
+                    operator_name=operator_name,
+                )
+                return self.success(data=result)
+            except ValueError as e:
+                return self.fail(-1, str(e))
+            except RuntimeError as e:
+                return self.fail(-2, str(e))

src/langbot/pkg/api/http/controller/groups/provider/models.py

@@ -97,51 +97,3 @@ class EmbeddingModelsRouterGroup(group.RouterGroup):
             await self.ap.embedding_models_service.test_embedding_model(model_uuid, json_data)
 
             return self.success()
-
-
-@group.group_class('models/rerank', '/api/v1/provider/models/rerank')
-class RerankModelsRouterGroup(group.RouterGroup):
-    async def initialize(self) -> None:
-        @self.route('', methods=['GET', 'POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def _() -> str:
-            if quart.request.method == 'GET':
-                provider_uuid = quart.request.args.get('provider_uuid')
-                if provider_uuid:
-                    return self.success(
-                        data={
-                            'models': await self.ap.rerank_models_service.get_rerank_models_by_provider(provider_uuid)
-                        }
-                    )
-                return self.success(data={'models': await self.ap.rerank_models_service.get_rerank_models()})
-            elif quart.request.method == 'POST':
-                json_data = await quart.request.json
-                model_uuid = await self.ap.rerank_models_service.create_rerank_model(json_data)
-                return self.success(data={'uuid': model_uuid})
-
-        @self.route('/<model_uuid>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def _(model_uuid: str) -> str:
-            if quart.request.method == 'GET':
-                model = await self.ap.rerank_models_service.get_rerank_model(model_uuid)
-
-                if model is None:
-                    return self.http_status(404, -1, 'model not found')
-
-                return self.success(data={'model': model})
-            elif quart.request.method == 'PUT':
-                json_data = await quart.request.json
-
-                await self.ap.rerank_models_service.update_rerank_model(model_uuid, json_data)
-
-                return self.success()
-            elif quart.request.method == 'DELETE':
-                await self.ap.rerank_models_service.delete_rerank_model(model_uuid)
-
-                return self.success()
-
-        @self.route('/<model_uuid>/test', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def _(model_uuid: str) -> str:
-            json_data = await quart.request.json
-
-            await self.ap.rerank_models_service.test_rerank_model(model_uuid, json_data)
-
-            return self.success()

src/langbot/pkg/api/http/controller/groups/provider/providers.py

@@ -15,7 +15,6 @@ class ModelProvidersRouterGroup(group.RouterGroup):
                     counts = await self.ap.provider_service.get_provider_model_counts(provider['uuid'])
                     provider['llm_count'] = counts['llm_count']
                     provider['embedding_count'] = counts['embedding_count']
-                    provider['rerank_count'] = counts['rerank_count']
                 return self.success(data={'providers': providers})
             elif quart.request.method == 'POST':
                 json_data = await quart.request.json
@@ -33,7 +32,6 @@ class ModelProvidersRouterGroup(group.RouterGroup):
                 counts = await self.ap.provider_service.get_provider_model_counts(provider_uuid)
                 provider['llm_count'] = counts['llm_count']
                 provider['embedding_count'] = counts['embedding_count']
-                provider['rerank_count'] = counts['rerank_count']
                 return self.success(data={'provider': provider})
             elif quart.request.method == 'PUT':
                 json_data = await quart.request.json
@@ -45,12 +43,3 @@ class ModelProvidersRouterGroup(group.RouterGroup):
                     return self.success()
                 except ValueError as e:
                     return self.http_status(400, -1, str(e))
-
-        @self.route('/<provider_uuid>/scan-models', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def _(provider_uuid: str) -> str:
-            try:
-                model_type = quart.request.args.get('type')
-                result = await self.ap.provider_service.scan_provider_models(provider_uuid, model_type)
-                return self.success(data=result)
-            except ValueError as e:
-                return self.http_status(400, -1, str(e))

src/langbot/pkg/api/http/controller/main.py

@@ -105,24 +105,23 @@ class HTTPController:
             ):
                 if os.path.exists(os.path.join(frontend_path, path + '.html')):
                     path += '.html'
-                elif not path.startswith('api/'):
-                    # SPA fallback: serve index.html for all non-API, non-static routes
-                    # so that React Router can handle client-side routing (Vite SPA).
-                    # For /home/* sub-routes, first try parent .html files (pre-rendered pages).
-                    if path.startswith('home/'):
-                        segments = path.rstrip('/').split('/')
-                        for i in range(len(segments) - 1, 0, -1):
-                            parent_path = '/'.join(segments[:i]) + '.html'
-                            if os.path.exists(os.path.join(frontend_path, parent_path)):
-                                response = await quart.send_from_directory(
-                                    frontend_path, parent_path, mimetype='text/html'
-                                )
-                                response.headers['Cache-Control'] = 'no-cache, no-store, must-revalidate'
-                                response.headers['Pragma'] = 'no-cache'
-                                response.headers['Expires'] = '0'
-                                return response
+                elif path.startswith('home/'):
+                    # SPA fallback for /home/* sub-routes.
+                    # Entity detail views use query params (e.g. /home/bots?id=uuid),
+                    # so the pre-rendered list page is served directly via path + '.html'.
+                    # This fallback handles any remaining unmatched sub-paths.
+                    segments = path.rstrip('/').split('/')
 
-                    # Fallback to index.html for SPA client-side routing
+                    # Walk up parent segments looking for matching .html files
+                    for i in range(len(segments) - 1, 0, -1):
+                        parent_path = '/'.join(segments[:i]) + '.html'
+                        if os.path.exists(os.path.join(frontend_path, parent_path)):
+                            response = await quart.send_from_directory(frontend_path, parent_path, mimetype='text/html')
+                            response.headers['Cache-Control'] = 'no-cache, no-store, must-revalidate'
+                            response.headers['Pragma'] = 'no-cache'
+                            response.headers['Expires'] = '0'
+                            return response
+                    # Final fallback to index.html for /home/* routes
                     response = await quart.send_from_directory(frontend_path, 'index.html', mimetype='text/html')
                     response.headers['Cache-Control'] = 'no-cache, no-store, must-revalidate'
                     response.headers['Pragma'] = 'no-cache'

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

@@ -0,0 +1,314 @@
+from __future__ import annotations
+
+import uuid
+import datetime
+import json
+import logging
+
+import sqlalchemy
+
+from ....core import app
+from ....entity.persistence import human_takeover as persistence_human_takeover
+
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+
+
+class HumanTakeoverService:
+    """Human takeover service.
+
+    Manages operator takeover of user conversation sessions, bypassing
+    the normal AI pipeline. Uses an in-memory cache for fast synchronous
+    lookups on the hot message path, backed by database persistence.
+    """
+
+    ap: app.Application
+
+    # In-memory cache: session_id -> HumanTakeoverSession record id
+    # Only contains sessions with status='active'
+    _active_sessions: dict[str, str]
+
+    logger: logging.Logger
+
+    def __init__(self, ap: app.Application) -> None:
+        self.ap = ap
+        self._active_sessions = {}
+        self.logger = logging.getLogger('human-takeover')
+
+    async def initialize(self) -> None:
+        """Load active takeover sessions from DB into memory cache."""
+        try:
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.select(persistence_human_takeover.HumanTakeoverSession).where(
+                    persistence_human_takeover.HumanTakeoverSession.status == 'active'
+                )
+            )
+            rows = result.all()
+            for row in rows:
+                session = row[0] if isinstance(row, tuple) else row
+                self._active_sessions[session.session_id] = session.id
+            self.logger.info(f'Loaded {len(self._active_sessions)} active takeover sessions from DB')
+        except Exception as e:
+            self.logger.warning(f'Failed to load active takeover sessions: {e}')
+
+    def is_taken_over(self, session_id: str) -> bool:
+        """Check if a session is currently under human takeover.
+
+        This is a synchronous in-memory lookup for performance, since it
+        is called on every incoming message (hot path).
+        """
+        return session_id in self._active_sessions
+
+    async def takeover_session(
+        self,
+        session_id: str,
+        bot_uuid: str,
+        taken_by: str | None = None,
+        platform: str | None = None,
+        user_id: str | None = None,
+        user_name: str | None = None,
+    ) -> dict:
+        """Take over a conversation session.
+
+        Args:
+            session_id: The session to take over (e.g. 'person_123' or 'group_456').
+            bot_uuid: UUID of the bot whose session is being taken over.
+            taken_by: Email/username of the admin performing the takeover.
+            platform: Platform name.
+            user_id: The end-user's ID in the session.
+            user_name: The end-user's display name.
+
+        Returns:
+            Dict with the created takeover session record.
+
+        Raises:
+            ValueError: If the session is already taken over.
+        """
+        if self.is_taken_over(session_id):
+            raise ValueError(f'Session {session_id} is already taken over')
+
+        record_id = str(uuid.uuid4())
+        now = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
+
+        record_data = {
+            'id': record_id,
+            'session_id': session_id,
+            'bot_uuid': bot_uuid,
+            'status': 'active',
+            'taken_by': taken_by,
+            'taken_at': now,
+            'released_at': None,
+            'platform': platform,
+            'user_id': user_id,
+            'user_name': user_name,
+        }
+
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.insert(persistence_human_takeover.HumanTakeoverSession).values(record_data)
+        )
+
+        # Update in-memory cache
+        self._active_sessions[session_id] = record_id
+
+        self.logger.info(f'Session {session_id} taken over by {taken_by}')
+
+        return record_data
+
+    async def release_session(self, session_id: str) -> dict:
+        """Release a taken-over session back to AI pipeline processing.
+
+        Args:
+            session_id: The session to release.
+
+        Returns:
+            Dict with the updated takeover session record.
+
+        Raises:
+            ValueError: If the session is not currently taken over.
+        """
+        if not self.is_taken_over(session_id):
+            raise ValueError(f'Session {session_id} is not currently taken over')
+
+        now = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
+
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.update(persistence_human_takeover.HumanTakeoverSession)
+            .where(
+                sqlalchemy.and_(
+                    persistence_human_takeover.HumanTakeoverSession.session_id == session_id,
+                    persistence_human_takeover.HumanTakeoverSession.status == 'active',
+                )
+            )
+            .values(status='released', released_at=now)
+        )
+
+        # Remove from in-memory cache
+        self._active_sessions.pop(session_id, None)
+
+        self.logger.info(f'Session {session_id} released back to AI pipeline')
+
+        return {
+            'session_id': session_id,
+            'status': 'released',
+            'released_at': now.isoformat(),
+        }
+
+    async def send_message(
+        self,
+        session_id: str,
+        message_text: str,
+        operator_name: str | None = None,
+    ) -> dict:
+        """Send a message from the operator to the user via the platform adapter.
+
+        Args:
+            session_id: The taken-over session ID (e.g. 'person_123' or 'group_456').
+            message_text: The text message to send.
+            operator_name: Name of the operator sending the message.
+
+        Returns:
+            Dict with send result info.
+
+        Raises:
+            ValueError: If the session is not currently taken over.
+            RuntimeError: If the bot or adapter cannot be found.
+        """
+        if not self.is_taken_over(session_id):
+            raise ValueError(f'Session {session_id} is not currently taken over')
+
+        # Look up the takeover record to get bot_uuid
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_human_takeover.HumanTakeoverSession).where(
+                sqlalchemy.and_(
+                    persistence_human_takeover.HumanTakeoverSession.session_id == session_id,
+                    persistence_human_takeover.HumanTakeoverSession.status == 'active',
+                )
+            )
+        )
+        row = result.first()
+        if not row:
+            raise RuntimeError(f'Active takeover record not found for session {session_id}')
+
+        takeover_record = row[0] if isinstance(row, tuple) else row
+        bot_uuid = takeover_record.bot_uuid
+
+        # Get the runtime bot
+        runtime_bot = await self.ap.platform_mgr.get_bot_by_uuid(bot_uuid)
+        if not runtime_bot:
+            raise RuntimeError(f'Bot {bot_uuid} not found or not running')
+
+        # Parse session_id to determine target_type and target_id
+        # Format: 'person_{id}' or 'group_{id}'
+        if session_id.startswith('person_'):
+            target_type = 'person'
+            target_id = session_id[len('person_') :]
+        elif session_id.startswith('group_'):
+            target_type = 'group'
+            target_id = session_id[len('group_') :]
+        else:
+            raise ValueError(f'Invalid session_id format: {session_id}')
+
+        # Build message chain
+        message_chain = platform_message.MessageChain([platform_message.Plain(text=message_text)])
+
+        # Send via adapter
+        await runtime_bot.adapter.send_message(target_type, target_id, message_chain)
+
+        # Record the operator message in monitoring
+        bot_name = runtime_bot.bot_entity.name or bot_uuid
+        try:
+            message_content = json.dumps(message_chain.model_dump(), ensure_ascii=False)
+        except Exception:
+            message_content = message_text
+
+        await self.ap.monitoring_service.record_message(
+            bot_id=bot_uuid,
+            bot_name=bot_name,
+            pipeline_id='__human_takeover__',
+            pipeline_name='Human Takeover',
+            message_content=message_content,
+            session_id=session_id,
+            status='success',
+            level='info',
+            platform=takeover_record.platform,
+            user_id=operator_name or 'operator',
+            user_name=operator_name or 'Operator',
+            role='operator',
+        )
+
+        self.logger.info(f'Operator message sent to session {session_id}: {message_text[:50]}...')
+
+        return {
+            'session_id': session_id,
+            'message_sent': True,
+        }
+
+    async def get_active_sessions(
+        self,
+        bot_uuid: str | None = None,
+        limit: int = 100,
+        offset: int = 0,
+    ) -> tuple[list[dict], int]:
+        """Get list of active (or all) takeover sessions.
+
+        Args:
+            bot_uuid: Optional filter by bot UUID.
+            limit: Maximum number of results.
+            offset: Pagination offset.
+
+        Returns:
+            Tuple of (list of session dicts, total count).
+        """
+        conditions = []
+
+        if bot_uuid:
+            conditions.append(persistence_human_takeover.HumanTakeoverSession.bot_uuid == bot_uuid)
+
+        # Count
+        count_query = sqlalchemy.select(sqlalchemy.func.count(persistence_human_takeover.HumanTakeoverSession.id))
+        if conditions:
+            count_query = count_query.where(sqlalchemy.and_(*conditions))
+
+        count_result = await self.ap.persistence_mgr.execute_async(count_query)
+        total = count_result.scalar() or 0
+
+        # Fetch records
+        query = sqlalchemy.select(persistence_human_takeover.HumanTakeoverSession).order_by(
+            persistence_human_takeover.HumanTakeoverSession.taken_at.desc()
+        )
+        if conditions:
+            query = query.where(sqlalchemy.and_(*conditions))
+
+        query = query.limit(limit).offset(offset)
+
+        result = await self.ap.persistence_mgr.execute_async(query)
+        rows = result.all()
+
+        sessions = []
+        for row in rows:
+            session = row[0] if isinstance(row, tuple) else row
+            sessions.append(
+                self.ap.persistence_mgr.serialize_model(persistence_human_takeover.HumanTakeoverSession, session)
+            )
+
+        return sessions, total
+
+    async def get_session_detail(self, session_id: str) -> dict | None:
+        """Get detail for a specific takeover session.
+
+        Args:
+            session_id: The session ID to look up.
+
+        Returns:
+            Session dict or None if not found.
+        """
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_human_takeover.HumanTakeoverSession)
+            .where(persistence_human_takeover.HumanTakeoverSession.session_id == session_id)
+            .order_by(persistence_human_takeover.HumanTakeoverSession.taken_at.desc())
+        )
+        row = result.first()
+        if not row:
+            return None
+
+        session = row[0] if isinstance(row, tuple) else row
+        return self.ap.persistence_mgr.serialize_model(persistence_human_takeover.HumanTakeoverSession, session)

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

@@ -367,162 +367,3 @@ class EmbeddingModelsService:
             input_text=['Hello, world!'],
             extra_args={},
         )
-
-
-class RerankModelsService:
-    ap: app.Application
-
-    def __init__(self, ap: app.Application) -> None:
-        self.ap = ap
-
-    async def get_rerank_models(self) -> list[dict]:
-        """Get all rerank models with provider info"""
-        result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.RerankModel))
-        models = result.all()
-
-        providers_result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(persistence_model.ModelProvider)
-        )
-        providers = {p.uuid: p for p in providers_result.all()}
-
-        models_list = []
-        for model in models:
-            model_dict = self.ap.persistence_mgr.serialize_model(persistence_model.RerankModel, model)
-            provider = providers.get(model.provider_uuid)
-            if provider:
-                provider_dict = self.ap.persistence_mgr.serialize_model(persistence_model.ModelProvider, provider)
-                model_dict['provider'] = _parse_provider_api_keys(provider_dict)
-            models_list.append(model_dict)
-
-        return models_list
-
-    async def get_rerank_models_by_provider(self, provider_uuid: str) -> list[dict]:
-        """Get rerank models by provider UUID"""
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(persistence_model.RerankModel).where(
-                persistence_model.RerankModel.provider_uuid == provider_uuid
-            )
-        )
-        models = result.all()
-        return [self.ap.persistence_mgr.serialize_model(persistence_model.RerankModel, m) for m in models]
-
-    async def create_rerank_model(self, model_data: dict, preserve_uuid: bool = False) -> str:
-        """Create a new rerank model"""
-        if not preserve_uuid:
-            model_data['uuid'] = str(uuid.uuid4())
-
-        if 'provider' in model_data:
-            provider_data = model_data.pop('provider')
-            if provider_data.get('uuid'):
-                model_data['provider_uuid'] = provider_data['uuid']
-            else:
-                provider_uuid = await self.ap.provider_service.find_or_create_provider(
-                    requester=provider_data.get('requester', ''),
-                    base_url=provider_data.get('base_url', ''),
-                    api_keys=provider_data.get('api_keys', []),
-                )
-                model_data['provider_uuid'] = provider_uuid
-
-        await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.insert(persistence_model.RerankModel).values(**model_data)
-        )
-
-        runtime_provider = self.ap.model_mgr.provider_dict.get(model_data['provider_uuid'])
-        if runtime_provider is None:
-            raise Exception('provider not found')
-
-        runtime_rerank_model = await self.ap.model_mgr.load_rerank_model_with_provider(
-            persistence_model.RerankModel(**model_data),
-            runtime_provider,
-        )
-        self.ap.model_mgr.rerank_models.append(runtime_rerank_model)
-
-        return model_data['uuid']
-
-    async def get_rerank_model(self, model_uuid: str) -> dict | None:
-        """Get a single rerank model with provider info"""
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(persistence_model.RerankModel).where(persistence_model.RerankModel.uuid == model_uuid)
-        )
-        model = result.first()
-        if model is None:
-            return None
-
-        model_dict = self.ap.persistence_mgr.serialize_model(persistence_model.RerankModel, model)
-
-        provider_result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(persistence_model.ModelProvider).where(
-                persistence_model.ModelProvider.uuid == model.provider_uuid
-            )
-        )
-        provider = provider_result.first()
-        if provider:
-            provider_dict = self.ap.persistence_mgr.serialize_model(persistence_model.ModelProvider, provider)
-            model_dict['provider'] = _parse_provider_api_keys(provider_dict)
-
-        return model_dict
-
-    async def update_rerank_model(self, model_uuid: str, model_data: dict) -> None:
-        """Update an existing rerank model"""
-        if 'uuid' in model_data:
-            del model_data['uuid']
-
-        if 'provider' in model_data:
-            provider_data = model_data.pop('provider')
-            if provider_data.get('uuid'):
-                model_data['provider_uuid'] = provider_data['uuid']
-            else:
-                provider_uuid = await self.ap.provider_service.find_or_create_provider(
-                    requester=provider_data.get('requester', ''),
-                    base_url=provider_data.get('base_url', ''),
-                    api_keys=provider_data.get('api_keys', []),
-                )
-                model_data['provider_uuid'] = provider_uuid
-
-        await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.update(persistence_model.RerankModel)
-            .where(persistence_model.RerankModel.uuid == model_uuid)
-            .values(**model_data)
-        )
-
-        await self.ap.model_mgr.remove_rerank_model(model_uuid)
-
-        runtime_provider = self.ap.model_mgr.provider_dict.get(model_data['provider_uuid'])
-        if runtime_provider is None:
-            raise Exception('provider not found')
-
-        runtime_rerank_model = await self.ap.model_mgr.load_rerank_model_with_provider(
-            persistence_model.RerankModel(**model_data),
-            runtime_provider,
-        )
-        self.ap.model_mgr.rerank_models.append(runtime_rerank_model)
-
-    async def delete_rerank_model(self, model_uuid: str) -> None:
-        """Delete a rerank model"""
-        await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.delete(persistence_model.RerankModel).where(persistence_model.RerankModel.uuid == model_uuid)
-        )
-        await self.ap.model_mgr.remove_rerank_model(model_uuid)
-
-    async def test_rerank_model(self, model_uuid: str, model_data: dict) -> None:
-        """Test a rerank model"""
-        runtime_rerank_model: model_requester.RuntimeRerankModel | None = None
-
-        if model_uuid != '_':
-            for model in self.ap.model_mgr.rerank_models:
-                if model.model_entity.uuid == model_uuid:
-                    runtime_rerank_model = model
-                    break
-            if runtime_rerank_model is None:
-                raise Exception('model not found')
-        else:
-            runtime_rerank_model = await self.ap.model_mgr.init_temporary_runtime_rerank_model(model_data)
-
-        await runtime_rerank_model.provider.invoke_rerank(
-            model=runtime_rerank_model,
-            query='What is artificial intelligence?',
-            documents=[
-                'Artificial intelligence is a branch of computer science.',
-                'The weather is nice today.',
-            ],
-        )

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

@@ -1224,83 +1224,30 @@ class MonitoringService:
         """
         import json
 
-        now = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
-        reasons_json = json.dumps(inaccurate_reasons, ensure_ascii=False) if inaccurate_reasons else None
+        record_id = str(uuid.uuid4())
+        record_data = {
+            'id': record_id,
+            'timestamp': datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None),
+            'feedback_id': feedback_id,
+            'feedback_type': feedback_type,
+            'feedback_content': feedback_content,
+            'inaccurate_reasons': json.dumps(inaccurate_reasons, ensure_ascii=False) if inaccurate_reasons else None,
+            'bot_id': bot_id,
+            'bot_name': bot_name,
+            'pipeline_id': pipeline_id,
+            'pipeline_name': pipeline_name,
+            'session_id': session_id,
+            'message_id': message_id,
+            'stream_id': stream_id,
+            'user_id': user_id,
+            'platform': platform,
+        }
 
-        MonitoringFeedback = persistence_monitoring.MonitoringFeedback
-
-        # Handle cancel feedback (type=3): delete existing record
-        if feedback_type == 3:
-            await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.delete(MonitoringFeedback).where(MonitoringFeedback.feedback_id == feedback_id)
-            )
-            return None
-
-        # Check if record with this feedback_id already exists
-        existing_result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(MonitoringFeedback).where(MonitoringFeedback.feedback_id == feedback_id)
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.insert(persistence_monitoring.MonitoringFeedback).values(record_data)
         )
-        existing_row = existing_result.first()
 
-        if existing_row:
-            # UPDATE existing record
-            existing = existing_row[0] if isinstance(existing_row, tuple) else existing_row
-            await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.update(MonitoringFeedback)
-                .where(MonitoringFeedback.feedback_id == feedback_id)
-                .values(
-                    timestamp=now,
-                    feedback_type=feedback_type,
-                    feedback_content=feedback_content,
-                    inaccurate_reasons=reasons_json,
-                    bot_id=bot_id or existing.bot_id,
-                    bot_name=bot_name or existing.bot_name,
-                    pipeline_id=pipeline_id or existing.pipeline_id,
-                    pipeline_name=pipeline_name or existing.pipeline_name,
-                    session_id=session_id or existing.session_id,
-                    message_id=message_id or existing.message_id,
-                    stream_id=stream_id or existing.stream_id,
-                    user_id=user_id or existing.user_id,
-                    platform=platform or existing.platform,
-                )
-            )
-            return existing.id
-        else:
-            # INSERT new record with IntegrityError defense
-            record_id = str(uuid.uuid4())
-            record_data = {
-                'id': record_id,
-                'timestamp': now,
-                'feedback_id': feedback_id,
-                'feedback_type': feedback_type,
-                'feedback_content': feedback_content,
-                'inaccurate_reasons': reasons_json,
-                'bot_id': bot_id,
-                'bot_name': bot_name,
-                'pipeline_id': pipeline_id,
-                'pipeline_name': pipeline_name,
-                'session_id': session_id,
-                'message_id': message_id,
-                'stream_id': stream_id,
-                'user_id': user_id,
-                'platform': platform,
-            }
-            try:
-                await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(MonitoringFeedback).values(record_data))
-                return record_id
-            except Exception:
-                # UNIQUE constraint conflict (concurrent feedback for same feedback_id)
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.update(MonitoringFeedback)
-                    .where(MonitoringFeedback.feedback_id == feedback_id)
-                    .values(
-                        timestamp=now,
-                        feedback_type=feedback_type,
-                        feedback_content=feedback_content,
-                        inaccurate_reasons=reasons_json,
-                    )
-                )
-                return feedback_id
+        return record_id
 
     async def get_feedback_stats(
         self,

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

@@ -1,7 +1,6 @@
 from __future__ import annotations
 
 import uuid
-import traceback
 
 import sqlalchemy
 
@@ -98,14 +97,6 @@ class ModelProviderService:
         if embedding_result.first() is not None:
             raise ValueError('Cannot delete provider: Embedding models still reference it')
 
-        rerank_result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(persistence_model.RerankModel).where(
-                persistence_model.RerankModel.provider_uuid == provider_uuid
-            )
-        )
-        if rerank_result.first() is not None:
-            raise ValueError('Cannot delete provider: Rerank models still reference it')
-
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.delete(persistence_model.ModelProvider).where(
                 persistence_model.ModelProvider.uuid == provider_uuid
@@ -130,14 +121,7 @@ class ModelProviderService:
         )
         embedding_count = embedding_result.scalar() or 0
 
-        rerank_result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(sqlalchemy.func.count())
-            .select_from(persistence_model.RerankModel)
-            .where(persistence_model.RerankModel.provider_uuid == provider_uuid)
-        )
-        rerank_count = rerank_result.scalar() or 0
-
-        return {'llm_count': llm_count, 'embedding_count': embedding_count, 'rerank_count': rerank_count}
+        return {'llm_count': llm_count, 'embedding_count': embedding_count}
 
     async def find_or_create_provider(self, requester: str, base_url: str, api_keys: list) -> str:
         """Find existing provider or create new one"""
@@ -180,66 +164,3 @@ class ModelProviderService:
             .values(api_keys=[api_key])
         )
         await self.ap.model_mgr.reload_provider('00000000-0000-0000-0000-000000000000')
-
-    async def scan_provider_models(self, provider_uuid: str, model_type: str | None = None) -> dict:
-        provider = await self.get_provider(provider_uuid)
-        if provider is None:
-            raise ValueError('provider not found')
-
-        runtime_provider = await self.ap.model_mgr.load_provider(provider)
-
-        try:
-            scan_result = await runtime_provider.requester.scan_models(
-                runtime_provider.token_mgr.get_token() if runtime_provider.token_mgr.tokens else None
-            )
-        except NotImplementedError:
-            raise ValueError('current provider does not support model scanning')
-        except Exception as exc:
-            self.ap.logger.warning(
-                f'Failed to scan models for provider {provider_uuid}: {exc}\n{traceback.format_exc()}'
-            )
-            raise ValueError(str(exc)) from exc
-
-        if isinstance(scan_result, dict):
-            scanned_models = scan_result.get('models', [])
-            debug_info = scan_result.get('debug')
-        else:
-            scanned_models = scan_result
-            debug_info = None
-
-        llm_models = await self.ap.llm_model_service.get_llm_models_by_provider(provider_uuid)
-        embedding_models = await self.ap.embedding_models_service.get_embedding_models_by_provider(provider_uuid)
-        existing_llm_names = {model['name'] for model in llm_models}
-        existing_embedding_names = {model['name'] for model in embedding_models}
-
-        filtered_models = []
-        for model in scanned_models:
-            scanned_type = model.get('type', 'llm')
-            if model_type and scanned_type != model_type:
-                continue
-
-            model_name = model.get('name') or model.get('id')
-            if not model_name:
-                continue
-
-            filtered_models.append(
-                {
-                    'id': model.get('id', model_name),
-                    'name': model_name,
-                    'type': scanned_type,
-                    'abilities': model.get('abilities', []),
-                    'display_name': model.get('display_name'),
-                    'description': model.get('description'),
-                    'context_length': model.get('context_length'),
-                    'owned_by': model.get('owned_by'),
-                    'input_modalities': model.get('input_modalities', []),
-                    'output_modalities': model.get('output_modalities', []),
-                    'already_added': (
-                        model_name in existing_embedding_names
-                        if scanned_type == 'embedding'
-                        else model_name in existing_llm_names
-                    ),
-                }
-            )
-
-        return {'models': filtered_models, 'debug': debug_info}

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

@@ -65,8 +65,8 @@ class UserService:
 
         user_obj = result_list[0]
 
-        # Check if this user has a local password set
-        if not user_obj.password:
+        # Check if this is a Space account
+        if user_obj.account_type == 'space':
             raise ValueError('请使用 Space 账户登录')
 
         ph = argon2.PasswordHasher()
@@ -108,8 +108,9 @@ class UserService:
         if user_obj is None:
             raise ValueError('User not found')
 
-        if not user_obj.password:
-            raise ValueError('No local password set, please set a password first')
+        # Space accounts cannot change password locally
+        if user_obj.account_type == 'space':
+            raise ValueError('Space account cannot change password locally')
 
         ph.verify(user_obj.password, current_password)
 

src/langbot/pkg/core/app.py

@@ -31,6 +31,7 @@ from ..api.http.service import mcp as mcp_service
 from ..api.http.service import apikey as apikey_service
 from ..api.http.service import webhook as webhook_service
 from ..api.http.service import monitoring as monitoring_service
+from ..api.http.service import human_takeover as human_takeover_service
 
 from ..discover import engine as discover_engine
 from ..storage import mgr as storagemgr
@@ -133,8 +134,6 @@ class Application:
 
     embedding_models_service: model_service.EmbeddingModelsService = None
 
-    rerank_models_service: model_service.RerankModelsService = None
-
     provider_service: provider_service.ModelProviderService = None
 
     pipeline_service: pipeline_service.PipelineService = None
@@ -155,6 +154,8 @@ class Application:
 
     monitoring_service: monitoring_service.MonitoringService = None
 
+    human_takeover_service: human_takeover_service.HumanTakeoverService = None
+
     def __init__(self):
         pass
 

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

@@ -28,6 +28,7 @@ from ...api.http.service import mcp as mcp_service
 from ...api.http.service import apikey as apikey_service
 from ...api.http.service import webhook as webhook_service
 from ...api.http.service import monitoring as monitoring_service
+from ...api.http.service import human_takeover as human_takeover_service
 from ...discover import engine as discover_engine
 from ...storage import mgr as storagemgr
 from ...utils import logcache
@@ -61,9 +62,6 @@ class BuildAppStage(stage.BootingStage):
         embedding_models_service_inst = model_service.EmbeddingModelsService(ap)
         ap.embedding_models_service = embedding_models_service_inst
 
-        rerank_models_service_inst = model_service.RerankModelsService(ap)
-        ap.rerank_models_service = rerank_models_service_inst
-
         provider_service_inst = provider_service.ModelProviderService(ap)
         ap.provider_service = provider_service_inst
 
@@ -167,6 +165,10 @@ class BuildAppStage(stage.BootingStage):
         monitoring_service_inst = monitoring_service.MonitoringService(ap)
         ap.monitoring_service = monitoring_service_inst
 
+        human_takeover_service_inst = human_takeover_service.HumanTakeoverService(ap)
+        await human_takeover_service_inst.initialize()
+        ap.human_takeover_service = human_takeover_service_inst
+
         async def runtime_disconnect_callback(connector: plugin_connector.PluginRuntimeConnector) -> None:
             await asyncio.sleep(3)
             await plugin_connector_inst.initialize()

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

@@ -0,0 +1,36 @@
+import sqlalchemy
+
+from .base import Base
+
+
+class HumanTakeoverSession(Base):
+    """Human takeover session records.
+
+    Tracks which conversation sessions are currently under human operator control,
+    bypassing the normal AI pipeline processing.
+    """
+
+    __tablename__ = 'human_takeover_sessions'
+
+    id = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True)
+    session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, unique=True, index=True)
+    """Corresponds to monitoring_sessions.session_id, format: 'person_{id}' or 'group_{id}'"""
+
+    bot_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
+    """UUID of the bot whose session is being taken over"""
+
+    status = sqlalchemy.Column(sqlalchemy.String(50), nullable=False, default='active', index=True)
+    """Takeover status: 'active' or 'released'"""
+
+    taken_by = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    """Email/username of the admin who took over the session"""
+
+    taken_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False)
+    """Timestamp when the takeover started"""
+
+    released_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True)
+    """Timestamp when the takeover was released (null if still active)"""
+
+    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)

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

@@ -59,22 +59,3 @@ class EmbeddingModel(Base):
         server_default=sqlalchemy.func.now(),
         onupdate=sqlalchemy.func.now(),
     )
-
-
-class RerankModel(Base):
-    """Rerank model"""
-
-    __tablename__ = 'rerank_models'
-
-    uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
-    name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
-    provider_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
-    extra_args = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
-    prefered_ranking = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=0)
-    created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
-    updated_at = sqlalchemy.Column(
-        sqlalchemy.DateTime,
-        nullable=False,
-        server_default=sqlalchemy.func.now(),
-        onupdate=sqlalchemy.func.now(),
-    )

src/langbot/pkg/persistence/alembic/env.py

@@ -1,51 +0,0 @@
-"""Alembic environment for LangBot.
-
-This env.py is designed to be called programmatically (not via CLI).
-It supports both SQLite and PostgreSQL.
-
-The sync connection is passed via config attributes by the runner.
-"""
-
-from __future__ import annotations
-
-from alembic import context
-from sqlalchemy.engine import Connection
-
-from langbot.pkg.entity.persistence.base import Base
-
-target_metadata = Base.metadata
-
-
-def run_migrations_offline() -> None:
-    """Run migrations in 'offline' mode — emit SQL without a live connection."""
-    url = context.config.get_main_option('sqlalchemy.url')
-    context.configure(
-        url=url,
-        target_metadata=target_metadata,
-        literal_binds=True,
-        dialect_opts={'paramstyle': 'named'},
-    )
-    with context.begin_transaction():
-        context.run_migrations()
-
-
-def run_migrations_online() -> None:
-    """Run migrations with a live sync connection passed via config attributes."""
-    connection: Connection = context.config.attributes.get('connection')
-    if connection is None:
-        raise RuntimeError('connection not provided in alembic config attributes')
-
-    context.configure(
-        connection=connection,
-        target_metadata=target_metadata,
-        # render_as_batch=True is critical for SQLite ALTER TABLE support
-        render_as_batch=True,
-    )
-    with context.begin_transaction():
-        context.run_migrations()
-
-
-if context.is_offline_mode():
-    run_migrations_offline()
-else:
-    run_migrations_online()

src/langbot/pkg/persistence/alembic/script.py.mako

@@ -1,24 +0,0 @@
-# Alembic script.py.mako — template for auto-generated revisions
-"""${message}
-
-Revision ID: ${up_revision}
-Revises: ${down_revision | comma,n}
-Create Date: ${create_date}
-"""
-from alembic import op
-import sqlalchemy as sa
-${imports if imports else ""}
-
-# revision identifiers
-revision = ${repr(up_revision)}
-down_revision = ${repr(down_revision)}
-branch_labels = ${repr(branch_labels)}
-depends_on = ${repr(depends_on)}
-
-
-def upgrade() -> None:
-    ${upgrades if upgrades else "pass"}
-
-
-def downgrade() -> None:
-    ${downgrades if downgrades else "pass"}

src/langbot/pkg/persistence/alembic/versions/0001_baseline.py

@@ -1,24 +0,0 @@
-"""baseline: stamp existing schema (db version 25)
-
-This is a no-op migration that marks the starting point for Alembic.
-All tables already exist via create_all() + legacy DBMigration system.
-
-Revision ID: 0001_baseline
-Revises: None
-Create Date: 2026-04-08
-"""
-
-revision = '0001_baseline'
-down_revision = None
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # No-op: existing schema is already at database_version=25
-    # This revision serves as the Alembic baseline.
-    pass
-
-
-def downgrade() -> None:
-    pass

src/langbot/pkg/persistence/alembic/versions/0002_sample.py

@@ -1,62 +0,0 @@
-"""example: sample migration demonstrating Alembic patterns
-
-This is a SAMPLE showing how to write migrations that work
-seamlessly across SQLite and PostgreSQL. Delete or adapt as needed.
-
-Revision ID: 0002_sample
-Revises: 0001_baseline
-Create Date: 2026-04-08
-
-Patterns demonstrated:
-  1. Schema change (add column) — works on both DBs via render_as_batch
-  2. Data migration (read + modify JSON) — pure SQLAlchemy, no dialect branching
-"""
-
-revision = '0002_sample'
-down_revision = '0001_baseline'
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    """
-    EXAMPLE: Uncomment to use. This shows the patterns.
-
-    # --- Pattern 1: Schema change (add/drop column) ---
-    # render_as_batch=True in env.py makes this work on SQLite too.
-    #
-    # op.add_column('pipelines', sa.Column('description', sa.String(512), server_default=''))
-
-    # --- Pattern 2: Data migration (read + modify JSON field) ---
-    # No if/else for sqlite vs postgres needed!
-    #
-    # conn = op.get_bind()
-    # rows = conn.execute(sa.text("SELECT uuid, config FROM pipelines")).fetchall()
-    # for row in rows:
-    #     config = json.loads(row[1]) if isinstance(row[1], str) else row[1]
-    #     # Modify the config
-    #     config.setdefault('ai', {}).setdefault('some_new_key', 'default_value')
-    #     conn.execute(
-    #         sa.text("UPDATE pipelines SET config = :cfg WHERE uuid = :uuid"),
-    #         {"cfg": json.dumps(config), "uuid": row[0]}
-    #     )
-
-    # --- Pattern 3: Create a new table ---
-    #
-    # op.create_table(
-    #     'audit_log',
-    #     sa.Column('id', sa.Integer, primary_key=True, autoincrement=True),
-    #     sa.Column('action', sa.String(255), nullable=False),
-    #     sa.Column('detail', sa.Text),
-    #     sa.Column('created_at', sa.DateTime, server_default=sa.func.now()),
-    # )
-    """
-    pass
-
-
-def downgrade() -> None:
-    """
-    # op.drop_column('pipelines', 'description')
-    # op.drop_table('audit_log')
-    """
-    pass

src/langbot/pkg/persistence/alembic/versions/0003_add_rerank_models.py

@@ -1,35 +0,0 @@
-"""add rerank_models table
-
-Revision ID: 0003_add_rerank_models
-Revises: 0002_sample
-Create Date: 2026-04-19
-"""
-
-import sqlalchemy as sa
-from alembic import op
-
-revision = '0003_add_rerank_models'
-down_revision = '0002_sample'
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # Check if table already exists (may have been created by create_all())
-    conn = op.get_bind()
-    inspector = sa.inspect(conn)
-    if 'rerank_models' not in inspector.get_table_names():
-        op.create_table(
-            'rerank_models',
-            sa.Column('uuid', sa.String(255), primary_key=True, unique=True),
-            sa.Column('name', sa.String(255), nullable=False),
-            sa.Column('provider_uuid', sa.String(255), nullable=False),
-            sa.Column('extra_args', sa.JSON, nullable=False, server_default='{}'),
-            sa.Column('prefered_ranking', sa.Integer, nullable=False, server_default='0'),
-            sa.Column('created_at', sa.DateTime, nullable=False, server_default=sa.func.now()),
-            sa.Column('updated_at', sa.DateTime, nullable=False, server_default=sa.func.now()),
-        )
-
-
-def downgrade() -> None:
-    op.drop_table('rerank_models')

src/langbot/pkg/persistence/alembic_runner.py

@@ -1,150 +0,0 @@
-"""Programmatic Alembic runner for LangBot.
-
-Usage from async code:
-    from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade
-    await run_alembic_upgrade(async_engine)
-
-CLI usage (autogenerate):
-    python -m langbot.pkg.persistence.alembic_runner autogenerate "add description column"
-    python -m langbot.pkg.persistence.alembic_runner upgrade
-    python -m langbot.pkg.persistence.alembic_runner current
-"""
-
-from __future__ import annotations
-
-import os
-from typing import TYPE_CHECKING
-
-from alembic.config import Config
-from alembic import command
-from alembic.runtime.migration import MigrationContext
-
-if TYPE_CHECKING:
-    from sqlalchemy.ext.asyncio import AsyncEngine
-    from sqlalchemy.engine import Connection
-
-
-_ALEMBIC_DIR = os.path.join(os.path.dirname(__file__), 'alembic')
-
-
-def _build_config(connection: Connection) -> Config:
-    """Build an Alembic Config with sync connection attached."""
-    cfg = Config()
-    cfg.set_main_option('script_location', _ALEMBIC_DIR)
-    cfg.attributes['connection'] = connection
-    return cfg
-
-
-def _do_upgrade(connection: Connection, revision: str = 'head') -> None:
-    """Synchronous upgrade — runs inside run_sync."""
-    cfg = _build_config(connection)
-    command.upgrade(cfg, revision)
-
-
-def _do_stamp(connection: Connection, revision: str = 'head') -> None:
-    """Synchronous stamp — runs inside run_sync."""
-    cfg = _build_config(connection)
-    command.stamp(cfg, revision)
-
-
-def _do_get_current(connection: Connection) -> str | None:
-    """Get current alembic revision synchronously."""
-    ctx = MigrationContext.configure(connection)
-    return ctx.get_current_revision()
-
-
-def _do_autogenerate(connection: Connection, message: str = 'auto migration') -> None:
-    """Synchronous autogenerate — runs inside run_sync."""
-    cfg = _build_config(connection)
-    command.revision(cfg, message=message, autogenerate=True)
-
-
-async def run_alembic_upgrade(async_engine: AsyncEngine, revision: str = 'head') -> None:
-    """Run Alembic upgrade to the given revision."""
-    async with async_engine.connect() as conn:
-        await conn.run_sync(_do_upgrade, revision)
-        await conn.commit()
-
-
-async def run_alembic_stamp(async_engine: AsyncEngine, revision: str = 'head') -> None:
-    """Stamp the database with a revision without running migrations."""
-    async with async_engine.connect() as conn:
-        await conn.run_sync(_do_stamp, revision)
-        await conn.commit()
-
-
-async def get_alembic_current(async_engine: AsyncEngine) -> str | None:
-    """Get current alembic revision, or None if not stamped."""
-    async with async_engine.connect() as conn:
-        return await conn.run_sync(_do_get_current)
-
-
-async def run_alembic_autogenerate(async_engine: AsyncEngine, message: str = 'auto migration') -> None:
-    """Compare ORM models against DB schema and generate a migration script."""
-    async with async_engine.connect() as conn:
-        await conn.run_sync(_do_autogenerate, message)
-
-
-# CLI entrypoint: python -m langbot.pkg.persistence.alembic_runner <command> [args]
-if __name__ == '__main__':
-    import sys
-    import asyncio
-
-    def _get_engine():
-        """Create engine from data/config.yaml or default SQLite."""
-        from sqlalchemy.ext.asyncio import create_async_engine
-
-        try:
-            import yaml
-
-            with open('data/config.yaml') as f:
-                config = yaml.safe_load(f)
-            db_cfg = config.get('database', {})
-            db_type = db_cfg.get('use', 'sqlite')
-            if db_type == 'postgresql':
-                pg = db_cfg.get('postgresql', {})
-                url = (
-                    f'postgresql+asyncpg://{pg.get("user", "postgres")}:{pg.get("password", "postgres")}'
-                    f'@{pg.get("host", "127.0.0.1")}:{pg.get("port", 5432)}/{pg.get("database", "postgres")}'
-                )
-            else:
-                path = db_cfg.get('sqlite', {}).get('path', 'data/langbot.db')
-                url = f'sqlite+aiosqlite:///{path}'
-        except Exception:
-            url = 'sqlite+aiosqlite:///data/langbot.db'
-
-        return create_async_engine(url)
-
-    def main():
-        if len(sys.argv) < 2:
-            print('Usage: python -m langbot.pkg.persistence.alembic_runner <command> [args]')
-            print('Commands:')
-            print('  autogenerate "message"  — Generate migration from ORM model diff')
-            print('  upgrade [revision]      — Upgrade database (default: head)')
-            print('  stamp [revision]        — Stamp revision without running (default: head)')
-            print('  current                 — Show current revision')
-            sys.exit(1)
-
-        cmd = sys.argv[1]
-        engine = _get_engine()
-
-        if cmd == 'autogenerate':
-            msg = sys.argv[2] if len(sys.argv) > 2 else 'auto migration'
-            asyncio.run(run_alembic_autogenerate(engine, msg))
-            print(f'Migration generated: {msg}')
-        elif cmd == 'upgrade':
-            rev = sys.argv[2] if len(sys.argv) > 2 else 'head'
-            asyncio.run(run_alembic_upgrade(engine, rev))
-            print(f'Upgraded to: {rev}')
-        elif cmd == 'stamp':
-            rev = sys.argv[2] if len(sys.argv) > 2 else 'head'
-            asyncio.run(run_alembic_stamp(engine, rev))
-            print(f'Stamped: {rev}')
-        elif cmd == 'current':
-            rev = asyncio.run(get_alembic_current(engine))
-            print(f'Current revision: {rev}')
-        else:
-            print(f'Unknown command: {cmd}')
-            sys.exit(1)
-
-    main()

src/langbot/pkg/persistence/mgr.py

@@ -76,9 +76,6 @@ class PersistenceManager:
 
             self.ap.logger.info(f'Successfully upgraded database to version {last_migration_number}.')
 
-        # Run Alembic migrations (new migration system)
-        await self._run_alembic_migrations()
-
         await self.write_space_model_providers()
 
     async def create_tables(self):
@@ -138,28 +135,6 @@ class PersistenceManager:
 
     # =================================
 
-    async def _run_alembic_migrations(self):
-        """Run Alembic-based migrations after legacy migrations complete."""
-        from . import alembic_runner
-
-        engine = self.get_db_engine()
-
-        try:
-            current_rev = await alembic_runner.get_alembic_current(engine)
-
-            if current_rev is None:
-                # First time: stamp baseline so Alembic knows existing schema is up-to-date
-                self.ap.logger.info('Alembic: no revision found, stamping baseline...')
-                await alembic_runner.run_alembic_stamp(engine, '0001_baseline')
-                current_rev = '0001_baseline'
-
-            # Upgrade to head
-            await alembic_runner.run_alembic_upgrade(engine, 'head')
-            self.ap.logger.info('Alembic migrations completed.')
-        except Exception as e:
-            self.ap.logger.error(f'Alembic migration failed: {e}', exc_info=True)
-            raise
-
     async def execute_async(self, *args, **kwargs) -> sqlalchemy.engine.cursor.CursorResult:
         async with self.get_db_engine().connect() as conn:
             result = await conn.execute(*args, **kwargs)

src/langbot/pkg/persistence/migrations/dbm026_human_takeover_sessions.py

@@ -0,0 +1,36 @@
+import sqlalchemy
+from .. import migration
+
+
+@migration.migration_class(26)
+class DBMigrateHumanTakeoverSessions(migration.DBMigration):
+    """Create human_takeover_sessions table for human operator takeover support"""
+
+    async def upgrade(self):
+        sql_text = sqlalchemy.text("""
+            CREATE TABLE IF NOT EXISTS human_takeover_sessions (
+                id VARCHAR(255) PRIMARY KEY,
+                session_id VARCHAR(255) NOT NULL UNIQUE,
+                bot_uuid VARCHAR(255) NOT NULL,
+                status VARCHAR(50) NOT NULL DEFAULT 'active',
+                taken_by VARCHAR(255),
+                taken_at DATETIME NOT NULL,
+                released_at DATETIME,
+                platform VARCHAR(255),
+                user_id VARCHAR(255),
+                user_name VARCHAR(255)
+            )
+        """)
+        await self.ap.persistence_mgr.execute_async(sql_text)
+
+        # Create indexes
+        for idx_sql in [
+            'CREATE INDEX IF NOT EXISTS idx_hts_session_id ON human_takeover_sessions (session_id)',
+            'CREATE INDEX IF NOT EXISTS idx_hts_bot_uuid ON human_takeover_sessions (bot_uuid)',
+            'CREATE INDEX IF NOT EXISTS idx_hts_status ON human_takeover_sessions (status)',
+        ]:
+            await self.ap.persistence_mgr.execute_async(sqlalchemy.text(idx_sql))
+
+    async def downgrade(self):
+        sql_text = sqlalchemy.text('DROP TABLE IF EXISTS human_takeover_sessions')
+        await self.ap.persistence_mgr.execute_async(sql_text)

src/langbot/pkg/pipeline/pipelinemgr.py

@@ -297,9 +297,6 @@ class RuntimePipeline:
             )
             # Store message_id in query variables for LLM call monitoring
             query.variables['_monitoring_message_id'] = message_id
-            # Notify adapter so it can map platform-specific IDs to monitoring message ID
-            if hasattr(query.adapter, 'on_monitoring_message_created'):
-                await query.adapter.on_monitoring_message_created(query, message_id)
         except Exception as e:
             self.ap.logger.error(f'Failed to record query start: {e}')
 

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

@@ -160,6 +160,7 @@ class PreProcessor(stage.PipelineStage):
                 elif me.url:
                     content_list.append(provider_message.ContentElement.from_file_url(me.url, 'voice'))
             elif isinstance(me, platform_message.File):
+                # if me.url is not None:
                 content_list.append(provider_message.ContentElement.from_file_url(me.url, me.name))
             elif isinstance(me, platform_message.Quote) and quote_msg:
                 for msg in me.origin:
@@ -171,15 +172,6 @@ class PreProcessor(stage.PipelineStage):
                         ):
                             if msg.base64 is not None:
                                 content_list.append(provider_message.ContentElement.from_image_base64(msg.base64))
-                    elif isinstance(msg, platform_message.File):
-                        content_list.append(provider_message.ContentElement.from_file_url(msg.url, msg.name))
-                    elif isinstance(msg, platform_message.Voice):
-                        if msg.base64:
-                            content_list.append(
-                                provider_message.ContentElement.from_file_base64(msg.base64, 'voice.silk')
-                            )
-                        elif msg.url:
-                            content_list.append(provider_message.ContentElement.from_file_url(msg.url, 'voice'))
 
         query.variables['user_message_text'] = plain_text
 

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

@@ -208,7 +208,6 @@ class ChatMessageHandler(handler.MessageHandler):
                         'model_name': model_name,
                         'version': constants.semantic_version,
                         'instance_id': constants.instance_id,
-                        'edition': constants.edition,
                         'pipeline_plugins': pipeline_plugins,
                         'error': locals().get('error_info', None),
                         'timestamp': datetime.utcnow().isoformat(),

src/langbot/pkg/platform/botmgr.py

@@ -220,6 +220,47 @@ class RuntimeBot:
 
             # Only add to query pool if no webhook requested to skip pipeline
             if not skip_pipeline:
+                # Check if session is under human takeover
+                person_session_id = f'person_{event.sender.id}'
+                if (
+                    hasattr(self.ap, 'human_takeover_service')
+                    and self.ap.human_takeover_service
+                    and self.ap.human_takeover_service.is_taken_over(person_session_id)
+                ):
+                    # Session is taken over: record message to monitoring then stop
+                    await self.logger.info(
+                        f'Person message intercepted by human takeover for session {person_session_id}'
+                    )
+                    try:
+                        if hasattr(event.message_chain, 'model_dump'):
+                            msg_content = json.dumps(event.message_chain.model_dump(), ensure_ascii=False)
+                        else:
+                            msg_content = str(event.message_chain)
+
+                        sender_name = None
+                        if hasattr(event, 'sender') and hasattr(event.sender, 'nickname'):
+                            sender_name = event.sender.nickname
+
+                        await self.ap.monitoring_service.record_message(
+                            bot_id=self.bot_entity.uuid,
+                            bot_name=self.bot_entity.name or self.bot_entity.uuid,
+                            pipeline_id='__human_takeover__',
+                            pipeline_name='Human Takeover',
+                            message_content=msg_content,
+                            session_id=person_session_id,
+                            status='success',
+                            level='info',
+                            platform=adapter.__class__.__name__,
+                            user_id=str(event.sender.id),
+                            user_name=sender_name,
+                            role='user',
+                        )
+
+                        await self.ap.monitoring_service.update_session_activity(person_session_id)
+                    except Exception as e:
+                        await self.logger.error(f'Failed to record takeover message: {e}')
+                    return
+
                 launcher_id = event.sender.id
 
                 if hasattr(adapter, 'get_launcher_id'):
@@ -281,6 +322,50 @@ class RuntimeBot:
 
             # Only add to query pool if no webhook requested to skip pipeline
             if not skip_pipeline:
+                # Check if session is under human takeover
+                group_session_id = f'group_{event.group.id}'
+                if (
+                    hasattr(self.ap, 'human_takeover_service')
+                    and self.ap.human_takeover_service
+                    and self.ap.human_takeover_service.is_taken_over(group_session_id)
+                ):
+                    # Session is taken over: record message to monitoring then stop
+                    await self.logger.info(
+                        f'Group message intercepted by human takeover for session {group_session_id}'
+                    )
+                    try:
+                        if hasattr(event.message_chain, 'model_dump'):
+                            msg_content = json.dumps(event.message_chain.model_dump(), ensure_ascii=False)
+                        else:
+                            msg_content = str(event.message_chain)
+
+                        sender_name = None
+                        if hasattr(event, 'sender'):
+                            if hasattr(event.sender, 'member_name'):
+                                sender_name = event.sender.member_name
+                            elif hasattr(event.sender, 'nickname'):
+                                sender_name = event.sender.nickname
+
+                        await self.ap.monitoring_service.record_message(
+                            bot_id=self.bot_entity.uuid,
+                            bot_name=self.bot_entity.name or self.bot_entity.uuid,
+                            pipeline_id='__human_takeover__',
+                            pipeline_name='Human Takeover',
+                            message_content=msg_content,
+                            session_id=group_session_id,
+                            status='success',
+                            level='info',
+                            platform=adapter.__class__.__name__,
+                            user_id=str(event.sender.id),
+                            user_name=sender_name,
+                            role='user',
+                        )
+
+                        await self.ap.monitoring_service.update_session_activity(group_session_id)
+                    except Exception as e:
+                        await self.logger.error(f'Failed to record takeover message: {e}')
+                    return
+
                 launcher_id = event.group.id
 
                 if hasattr(adapter, 'get_launcher_id'):

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

@@ -71,8 +71,7 @@ class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverte
                     yiri_msg_list.append(platform_message.Image(base64=element['Picture']))
         else:
             # 回退到原有简单逻辑
-            # 对于音频消息，content 来自 recognition 转写文字，在下方音频处理块中统一处理
-            if event.content and event.type != 'audio':
+            if event.content:
                 text_content = event.content.replace('@' + bot_name, '')
                 yiri_msg_list.append(platform_message.Plain(text=text_content))
             if event.picture:
@@ -82,38 +81,7 @@ class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverte
         if event.file:
             yiri_msg_list.append(platform_message.File(url=event.file, name=event.name))
         if event.audio:
-            # 优先使用钉钉自带的语音转写文字（recognition字段）
-            if event.content and event.type == 'audio':
-                yiri_msg_list.append(platform_message.Plain(text=event.content))
-            else:
-                yiri_msg_list.append(platform_message.Voice(base64=event.audio))
-
-        # Handle quoted/replied message - extract content as top-level components
-        # so that plugins like FileReader can process them the same way as direct messages
-        if event.quoted_message:
-            quote_info = event.quoted_message
-            msg_type = quote_info.get('msg_type', '')
-
-            # Process quoted file - add as top-level File component (same as private chat)
-            if msg_type == 'file' and quote_info.get('file_url'):
-                file_name = quote_info.get('file_name', 'file')
-                yiri_msg_list.append(platform_message.File(url=quote_info['file_url'], name=file_name))
-
-            # Process quoted image - add as top-level Image component
-            elif msg_type == 'picture' and quote_info.get('picture'):
-                yiri_msg_list.append(platform_message.Image(base64=quote_info['picture']))
-
-            # Process quoted audio - add as top-level Voice component
-            elif msg_type == 'audio' and quote_info.get('audio'):
-                yiri_msg_list.append(platform_message.Voice(base64=quote_info['audio']))
-
-            # Process quoted text - add as Plain text with context prefix
-            elif msg_type == 'text' and quote_info.get('content'):
-                yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info["content"]}'))
-
-            # Process quoted rich text - add as Plain text with context prefix
-            elif msg_type == 'richText' and quote_info.get('content'):
-                yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info["content"]}'))
+            yiri_msg_list.append(platform_message.Voice(base64=event.audio))
 
         chain = platform_message.MessageChain(yiri_msg_list)
 

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

@@ -709,29 +709,21 @@ class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
         message_chain = await LarkMessageConverter.target2yiri(event.event.message, api_client)
 
         # Check for quote/reply message
-        # Extract files/images/voice from quote and add them as top-level components
-        # so that plugins like FileReader can process them the same way as direct messages
         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_components = [comp for comp in quote_chain if not isinstance(comp, platform_message.Source)]
-
-                # Add quoted content as top-level components instead of wrapping in Quote
-                for comp in quote_components:
-                    if isinstance(comp, platform_message.File):
-                        # Add file as top-level component (same as direct message)
-                        message_chain.append(comp)
-                    elif isinstance(comp, platform_message.Image):
-                        # Add image as top-level component
-                        message_chain.append(comp)
-                    elif isinstance(comp, platform_message.Voice):
-                        # Add voice as top-level component
-                        message_chain.append(comp)
-                    elif isinstance(comp, platform_message.Plain):
-                        # Add text with context prefix
-                        message_chain.append(platform_message.Plain(text=f'[引用消息] {comp.text}'))
+                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(
@@ -787,13 +779,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
 
     card_id_dict: dict[str, str]  # 消息id到卡片id的映射，便于创建卡片后的发送消息到指定卡片
 
-    # Monitoring message ID mapping for feedback correlation
-    # Temp: user Lark message ID → monitoring_message_id (populated by on_monitoring_message_created, consumed by create_message_card)
-    pending_monitoring_msg: dict[str, str]
-    # Final: reply Lark message ID → (monitoring_message_id, timestamp) (used by feedback callbacks)
-    reply_to_monitoring_msg: dict[str, tuple[str, float]]
-    _MONITORING_MAPPING_TTL = 600  # 10 minutes
-
     seq: int  # 用于在发送卡片消息中识别消息顺序，直接以seq作为标识
     bot_uuid: str = None  # 机器人UUID
     app_ticket: str = None  # 商店应用用到
@@ -840,11 +825,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                 else:
                     session_id = None
 
-                # Resolve monitoring message ID from reply message mapping
-                monitoring_msg_id = None
-                if open_message_id and open_message_id in self.reply_to_monitoring_msg:
-                    monitoring_msg_id = self.reply_to_monitoring_msg[open_message_id][0]
-
                 feedback_event = platform_events.FeedbackEvent(
                     feedback_id=getattr(event.header, 'event_id', str(uuid.uuid4())),
                     feedback_type=feedback_type,
@@ -852,7 +832,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                     user_id=user_id,
                     session_id=session_id,
                     message_id=open_message_id,
-                    stream_id=monitoring_msg_id,
                     source_platform_object=event,
                 )
 
@@ -891,8 +870,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             logger=logger,
             lark_tenant_key=config.get('lark_tenant_key', ''),
             card_id_dict={},
-            pending_monitoring_msg={},
-            reply_to_monitoring_msg={},
             seq=1,
             listeners={},
             quart_app=quart_app,
@@ -1033,22 +1010,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             is_stream = True
         return is_stream
 
-    async def on_monitoring_message_created(self, query, monitoring_message_id: str):
-        """Called by pipeline after monitoring message is created, to map user message ID to monitoring message ID."""
-        try:
-            user_msg_id = query.message_event.message_chain.message_id
-            if user_msg_id:
-                self.pending_monitoring_msg[user_msg_id] = monitoring_message_id
-        except Exception as e:
-            await self.logger.debug(f'Failed to map message to monitoring message: {e}')
-
-    def _cleanup_monitoring_mapping(self):
-        """Remove entries older than TTL from the reply-to-monitoring mapping."""
-        now = time.time()
-        expired = [k for k, (_, ts) in self.reply_to_monitoring_msg.items() if now - ts > self._MONITORING_MAPPING_TTL]
-        for k in expired:
-            del self.reply_to_monitoring_msg[k]
-
     async def create_card_id(self, message_id):
         try:
             # self.logger.debug('飞书支持stream输出,创建卡片......')
@@ -1288,18 +1249,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             raise Exception(
                 f'client.im.v1.message.reply failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
             )
-
-        # Transfer monitoring message mapping: user msg ID → reply msg ID
-        try:
-            user_msg_id = event.message_chain.message_id
-            reply_msg_id = getattr(response.data, 'message_id', None)
-            monitoring_msg_id = self.pending_monitoring_msg.pop(user_msg_id, None)
-            if reply_msg_id and monitoring_msg_id:
-                self.reply_to_monitoring_msg[reply_msg_id] = (monitoring_msg_id, time.time())
-                self._cleanup_monitoring_mapping()
-        except Exception as e:
-            asyncio.create_task(self.logger.debug(f'Failed to transfer monitoring mapping in create_message_card: {e}'))
-
         return True
 
     async def reply_message(
@@ -1610,11 +1559,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                     else:
                         session_id = None
 
-                    # Resolve monitoring message ID from reply message mapping
-                    monitoring_msg_id = None
-                    if open_message_id and open_message_id in self.reply_to_monitoring_msg:
-                        monitoring_msg_id = self.reply_to_monitoring_msg[open_message_id][0]
-
                     feedback_event = platform_events.FeedbackEvent(
                         feedback_id=data.get('header', {}).get('event_id', str(uuid.uuid4())),
                         feedback_type=feedback_type,
@@ -1622,7 +1566,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                         user_id=user_id,
                         session_id=session_id,
                         message_id=open_message_id,
-                        stream_id=monitoring_msg_id,
                         source_platform_object=data,
                     )
 

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

@@ -1,7 +1,6 @@
 from __future__ import annotations
 import typing
 import asyncio
-import time
 import traceback
 
 import datetime
@@ -127,107 +126,6 @@ class WecomBotMessageConverter(abstract_platform_adapter.AbstractMessageConverte
             if summary:
                 yiri_msg_list.append(platform_message.Plain(text=summary))
 
-        # Handle quoted message (引用消息) - important for group chat file references
-        # Extract files/images/voice from quote and add them as top-level components
-        # so that plugins like FileReader can process them the same way as direct messages
-        quote_info = event.quote or {}
-        if quote_info:
-            # Process quote text content - add as Plain for context
-            if quote_info.get('content'):
-                yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info.get("content")}'))
-
-            # Process quote images - add as top-level Image components
-            quote_images = quote_info.get('images', [])
-            if not quote_images and quote_info.get('picurl'):
-                quote_images = [quote_info.get('picurl')]
-            for img_data in quote_images:
-                if img_data:
-                    yiri_msg_list.append(platform_message.Image(base64=img_data))
-
-            # Process quote file - add as top-level File component (same as private chat)
-            quote_file = quote_info.get('file') or {}
-            if quote_file:
-                file_url = (
-                    quote_file.get('base64')
-                    or quote_file.get('download_url')
-                    or quote_file.get('url')
-                    or quote_file.get('fileurl')
-                )
-                file_name = quote_file.get('filename') or quote_file.get('name')
-                file_size = quote_file.get('filesize') or quote_file.get('size')
-                if file_url or file_name:
-                    file_kwargs = {}
-                    if file_url:
-                        file_kwargs['url'] = file_url
-                    if file_name:
-                        file_kwargs['name'] = file_name
-                    if file_size is not None:
-                        file_kwargs['size'] = file_size
-                    try:
-                        yiri_msg_list.append(platform_message.File(**file_kwargs))
-                    except Exception:
-                        yiri_msg_list.append(platform_message.Unknown(text='[quoted file unsupported]'))
-
-            # Process quote voice - add as top-level Voice/File component
-            quote_voice = quote_info.get('voice') or {}
-            if quote_voice:
-                voice_payload = quote_voice.get('base64') or quote_voice.get('url')
-                if voice_payload:
-                    if quote_voice.get('base64') and not voice_payload.startswith('data:'):
-                        voice_payload = f'data:audio/mpeg;base64,{quote_voice.get("base64")}'
-                    try:
-                        yiri_msg_list.append(platform_message.Voice(base64=voice_payload))
-                    except Exception:
-                        try:
-                            voice_kwargs = {'url': voice_payload}
-                            voice_name = quote_voice.get('filename') or quote_voice.get('name')
-                            voice_size = quote_voice.get('filesize') or quote_voice.get('size')
-                            if voice_name:
-                                voice_kwargs['name'] = voice_name
-                            if voice_size is not None:
-                                voice_kwargs['size'] = voice_size
-                            yiri_msg_list.append(platform_message.File(**voice_kwargs))
-                        except Exception:
-                            yiri_msg_list.append(platform_message.Unknown(text='[quoted voice unsupported]'))
-
-            # Process quote video - add as top-level File component
-            quote_video = quote_info.get('video') or {}
-            if quote_video:
-                video_payload = (
-                    quote_video.get('base64')
-                    or quote_video.get('url')
-                    or quote_video.get('download_url')
-                    or quote_video.get('fileurl')
-                )
-                if video_payload:
-                    video_kwargs = {'url': video_payload}
-                    video_name = quote_video.get('filename') or quote_video.get('name')
-                    video_size = quote_video.get('filesize') or quote_video.get('size')
-                    if video_name:
-                        video_kwargs['name'] = video_name
-                    if video_size is not None:
-                        video_kwargs['size'] = video_size
-                    try:
-                        yiri_msg_list.append(platform_message.File(**video_kwargs))
-                    except Exception:
-                        yiri_msg_list.append(platform_message.Unknown(text='[quoted video unsupported]'))
-
-            # Process quote link - add as Plain text
-            quote_link = quote_info.get('link') or {}
-            if quote_link:
-                link_summary = '\n'.join(
-                    filter(
-                        None,
-                        [
-                            quote_link.get('title', ''),
-                            quote_link.get('description') or quote_link.get('digest', ''),
-                            quote_link.get('url', ''),
-                        ],
-                    )
-                )
-                if link_summary:
-                    yiri_msg_list.append(platform_message.Plain(text=f'[引用链接] {link_summary}'))
-
         has_content_element = any(
             not isinstance(element, (platform_message.Source, platform_message.At)) for element in yiri_msg_list
         )
@@ -294,8 +192,6 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
     _ws_mode: bool = False
     bot_name: str = ''
     listeners: dict = {}
-    _stream_to_monitoring_msg: dict = {}  # Maps stream_id to (monitoring_message_id, timestamp)
-    _STREAM_MAPPING_TTL = 600  # 10 minutes
 
     def __init__(self, config: dict, logger: EventLogger):
         enable_webhook = config.get('enable-webhook', False)
@@ -332,9 +228,8 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             bot_account_id=bot_account_id,
             bot_name=bot_name,
             event_converter=event_converter,
-            listeners={},
-            _stream_to_monitoring_msg={},
         )
+        self.listeners = {}
 
     async def reply_message(
         self,
@@ -426,23 +321,6 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         """设置 bot UUID（用于生成 webhook URL）"""
         self.bot_uuid = bot_uuid
 
-    async def on_monitoring_message_created(self, query, monitoring_message_id: str):
-        """Called by pipeline after monitoring message is created, to map stream_id to monitoring message ID."""
-        try:
-            stream_id = query.message_event.source_platform_object.stream_id
-            if stream_id:
-                self._stream_to_monitoring_msg[stream_id] = (monitoring_message_id, time.time())
-                self._cleanup_stream_mapping()
-        except Exception as e:
-            await self.logger.debug(f'Failed to map stream_id to monitoring message: {e}')
-
-    def _cleanup_stream_mapping(self):
-        """Remove entries older than TTL from the stream_id to monitoring message mapping."""
-        now = time.time()
-        expired = [k for k, (_, ts) in self._stream_to_monitoring_msg.items() if now - ts > self._STREAM_MAPPING_TTL]
-        for k in expired:
-            del self._stream_to_monitoring_msg[k]
-
     async def _on_feedback(self, **kwargs):
         """Handle feedback event from WeChat Work AI Bot SDK and dispatch as FeedbackEvent."""
         try:
@@ -450,9 +328,6 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             feedback_type = kwargs.get('feedback_type', 0)
             feedback_content = kwargs.get('feedback_content', '') or None
             inaccurate_reasons = kwargs.get('inaccurate_reasons', []) or None
-            # WeChat Work returns integer reason codes, but FeedbackEvent expects strings
-            if inaccurate_reasons:
-                inaccurate_reasons = [str(r) for r in inaccurate_reasons]
             session = kwargs.get('session')
 
             session_id = None
@@ -468,11 +343,6 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                 message_id = session.msg_id
                 stream_id = session.stream_id
 
-            # Resolve stream_id to LangBot monitoring message ID if available
-            monitoring_msg_id = None
-            if stream_id and stream_id in self._stream_to_monitoring_msg:
-                monitoring_msg_id = self._stream_to_monitoring_msg[stream_id][0]
-
             await self.logger.info(
                 f'Feedback event: feedback_id={feedback_id}, type={feedback_type}, '
                 f'session_id={session_id}, user_id={user_id}, message_id={message_id}'
@@ -486,7 +356,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                 user_id=user_id,
                 session_id=session_id,
                 message_id=message_id,
-                stream_id=monitoring_msg_id or stream_id,
+                stream_id=stream_id,
                 source_platform_object=session,
             )
 

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

@@ -9,6 +9,7 @@ from ...discover import engine
 from . import token
 from ...entity.persistence import model as persistence_model
 from ...entity.errors import provider as provider_errors
+from async_lru import alru_cache
 
 
 class ModelManager:
@@ -23,8 +24,6 @@ class ModelManager:
 
     embedding_models: list[requester.RuntimeEmbeddingModel]
 
-    rerank_models: list[requester.RuntimeRerankModel]
-
     requester_components: list[engine.Component]
 
     requester_dict: dict[str, type[requester.ProviderAPIRequester]]
@@ -33,7 +32,6 @@ class ModelManager:
         self.ap = ap
         self.llm_models = []
         self.embedding_models = []
-        self.rerank_models = []
         self.requester_components = []
         self.requester_dict = {}
 
@@ -66,7 +64,8 @@ class ModelManager:
 
         self.llm_models = []
         self.embedding_models = []
-        self.rerank_models = []
+
+        # Load all providers first
         self.provider_dict = {}
         providers_result = await self.ap.persistence_mgr.execute_async(
             sqlalchemy.select(persistence_model.ModelProvider)
@@ -111,22 +110,6 @@ class ModelManager:
             except Exception as e:
                 self.ap.logger.error(f'Failed to load model {embedding_model.uuid}: {e}\n{traceback.format_exc()}')
 
-        # Load rerank models
-        result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.RerankModel))
-        rerank_models = result.all()
-        for rerank_model in rerank_models:
-            try:
-                provider = self.provider_dict.get(rerank_model.provider_uuid)
-                if provider is None:
-                    self.ap.logger.warning(
-                        f'Provider {rerank_model.provider_uuid} not found for model {rerank_model.uuid}'
-                    )
-                    continue
-                runtime_rerank_model = await self.load_rerank_model_with_provider(rerank_model, provider)
-                self.rerank_models.append(runtime_rerank_model)
-            except Exception as e:
-                self.ap.logger.error(f'Failed to load model {rerank_model.uuid}: {e}\n{traceback.format_exc()}')
-
     async def sync_new_models_from_space(self):
         """Sync models from Space"""
         space_model_provider = await self.ap.persistence_mgr.execute_async(
@@ -229,26 +212,6 @@ class ModelManager:
 
         return runtime_embedding_model
 
-    async def init_temporary_runtime_rerank_model(
-        self,
-        model_info: dict,
-    ) -> requester.RuntimeRerankModel:
-        """Initialize runtime rerank model from dict (for testing)"""
-        provider_info = model_info.get('provider', {})
-        runtime_provider = await self.load_provider(provider_info)
-
-        runtime_rerank_model = requester.RuntimeRerankModel(
-            model_entity=persistence_model.RerankModel(
-                uuid=model_info.get('uuid', ''),
-                name=model_info.get('name', ''),
-                provider_uuid='',
-                extra_args=model_info.get('extra_args', {}),
-            ),
-            provider=runtime_provider,
-        )
-
-        return runtime_rerank_model
-
     async def load_provider(
         self, provider_info: persistence_model.ModelProvider | sqlalchemy.Row | dict
     ) -> requester.RuntimeProvider:
@@ -264,8 +227,7 @@ class ModelManager:
             raise provider_errors.RequesterNotFoundError(provider_entity.requester)
 
         requester_inst = self.requester_dict[provider_entity.requester](
-            ap=self.ap,
-            config={'base_url': provider_entity.base_url},
+            ap=self.ap, config={'base_url': provider_entity.base_url}
         )
         await requester_inst.initialize()
 
@@ -306,9 +268,6 @@ class ModelManager:
         for model in self.embedding_models:
             if model.provider.provider_entity.uuid == provider_uuid:
                 model.provider = new_runtime_provider
-        for model in self.rerank_models:
-            if model.provider.provider_entity.uuid == provider_uuid:
-                model.provider = new_runtime_provider
 
         # update ref in provider dict
         self.provider_dict[provider_uuid] = new_runtime_provider
@@ -345,22 +304,6 @@ class ModelManager:
 
         return runtime_embedding_model
 
-    async def load_rerank_model_with_provider(
-        self,
-        model_info: persistence_model.RerankModel | sqlalchemy.Row,
-        provider: requester.RuntimeProvider,
-    ) -> requester.RuntimeRerankModel:
-        """Load rerank model with provider info"""
-        if isinstance(model_info, sqlalchemy.Row):
-            model_info = persistence_model.RerankModel(**model_info._mapping)
-
-        runtime_rerank_model = requester.RuntimeRerankModel(
-            model_entity=model_info,
-            provider=provider,
-        )
-
-        return runtime_rerank_model
-
     async def load_llm_model(self, model_info: dict):
         """Load LLM model from dict (with provider info)"""
         provider_info = model_info.get('provider', {})
@@ -408,6 +351,7 @@ class ModelManager:
 
         await self.load_embedding_model_with_provider(model_entity, provider_entity)
 
+    @alru_cache(ttl=60 * 5)
     async def get_model_by_uuid(self, uuid: str) -> requester.RuntimeLLMModel:
         """Get LLM model by uuid"""
         for model in self.llm_models:
@@ -415,6 +359,7 @@ class ModelManager:
                 return model
         raise ValueError(f'LLM model {uuid} not found')
 
+    @alru_cache(ttl=60 * 5)
     async def get_embedding_model_by_uuid(self, uuid: str) -> requester.RuntimeEmbeddingModel:
         """Get embedding model by uuid"""
         for model in self.embedding_models:
@@ -422,13 +367,6 @@ class ModelManager:
                 return model
         raise ValueError(f'Embedding model {uuid} not found')
 
-    async def get_rerank_model_by_uuid(self, uuid: str) -> requester.RuntimeRerankModel:
-        """Get rerank model by uuid"""
-        for model in self.rerank_models:
-            if model.model_entity.uuid == uuid:
-                return model
-        raise ValueError(f'Rerank model {uuid} not found')
-
     async def remove_llm_model(self, model_uuid: str):
         """Remove LLM model"""
         for model in self.llm_models:
@@ -443,13 +381,6 @@ class ModelManager:
                 self.embedding_models.remove(model)
                 return
 
-    async def remove_rerank_model(self, model_uuid: str):
-        """Remove rerank model"""
-        for model in self.rerank_models:
-            if model.model_entity.uuid == model_uuid:
-                self.rerank_models.remove(model)
-                return
-
     def get_available_requesters_info(self, model_type: str) -> list[dict]:
         """Get all available requesters"""
         if model_type != '':

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

@@ -247,40 +247,6 @@ class RuntimeProvider:
             except Exception as monitor_err:
                 self.requester.ap.logger.error(f'[Monitoring] Failed to record embedding call: {monitor_err}')
 
-    async def invoke_rerank(
-        self,
-        model: RuntimeRerankModel,
-        query: str,
-        documents: typing.List[str],
-        extra_args: dict[str, typing.Any] = {},
-    ) -> typing.List[dict]:
-        """Bridge method for invoking rerank with monitoring"""
-        start_time = time.time()
-        status = 'success'
-
-        try:
-            result = await self.requester.invoke_rerank(
-                model=model,
-                query=query,
-                documents=documents,
-                extra_args=extra_args,
-            )
-            return result
-
-        except Exception:
-            status = 'error'
-            raise
-        finally:
-            duration_ms = int((time.time() - start_time) * 1000)
-
-            try:
-                self.requester.ap.logger.debug(
-                    f'[Rerank] model={model.model_entity.name} docs={len(documents)} '
-                    f'duration={duration_ms}ms status={status}'
-                )
-            except Exception as monitor_err:
-                self.requester.ap.logger.error(f'[Monitoring] Failed to record rerank call: {monitor_err}')
-
 
 class RuntimeLLMModel:
     """运行时模型"""
@@ -318,24 +284,6 @@ class RuntimeEmbeddingModel:
         self.provider = provider
 
 
-class RuntimeRerankModel:
-    """运行时 Rerank 模型"""
-
-    model_entity: persistence_model.RerankModel
-    """模型数据"""
-
-    provider: RuntimeProvider
-    """提供商实例"""
-
-    def __init__(
-        self,
-        model_entity: persistence_model.RerankModel,
-        provider: RuntimeProvider,
-    ):
-        self.model_entity = model_entity
-        self.provider = provider
-
-
 class ProviderAPIRequester(metaclass=abc.ABCMeta):
     """Provider API请求器"""
 
@@ -355,14 +303,6 @@ class ProviderAPIRequester(metaclass=abc.ABCMeta):
     async def initialize(self):
         pass
 
-    async def scan_models(self, api_key: str | None = None) -> dict[str, typing.Any] | list[dict[str, typing.Any]]:
-        """Scan models supported by the provider.
-
-        The default implementation does not support scanning. Requesters that
-        can enumerate remote models should override this method.
-        """
-        raise NotImplementedError('This provider does not support model scanning')
-
     @abc.abstractmethod
     async def invoke_llm(
         self,
@@ -428,23 +368,3 @@ class ProviderAPIRequester(metaclass=abc.ABCMeta):
             或者 tuple[typing.List[typing.List[float]], dict]: 返回 (embedding 向量, usage_info)
         """
         pass
-
-    async def invoke_rerank(
-        self,
-        model: RuntimeRerankModel,
-        query: str,
-        documents: typing.List[str],
-        extra_args: dict[str, typing.Any] = {},
-    ) -> typing.List[dict]:
-        """调用 Rerank API
-
-        Args:
-            model (RuntimeRerankModel): 使用的模型信息
-            query (str): 查询文本
-            documents (typing.List[str]): 待重排序的文档列表
-            extra_args (dict[str, typing.Any], optional): 额外的参数. Defaults to {}.
-
-        Returns:
-            typing.List[dict]: [{"index": int, "relevance_score": float}, ...]
-        """
-        raise NotImplementedError('This requester does not support rerank')

src/langbot/pkg/provider/modelmgr/requesters/302aichatcmpl.yaml

@@ -25,7 +25,6 @@ spec:
   support_type:
   - llm
   - text-embedding
-  - rerank
   provider_category: maas
 execution:
   python:

src/langbot/pkg/provider/modelmgr/requesters/bailianchatcmpl.yaml

@@ -24,7 +24,6 @@ spec:
     default: 120
   support_type:
   - llm
-  - rerank
   provider_category: maas
 execution:
   python:

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

@@ -31,192 +31,6 @@ class OpenAIChatCompletions(requester.ProviderAPIRequester):
             http_client=httpx.AsyncClient(trust_env=True, timeout=self.requester_cfg['timeout']),
         )
 
-    def _mask_api_key(self, api_key: str | None) -> str:
-        if not api_key:
-            return ''
-        if len(api_key) <= 8:
-            return '****'
-        return f'{api_key[:4]}...{api_key[-4:]}'
-
-    def _infer_model_type(self, model_id: str) -> str:
-        normalized_model_id = (model_id or '').lower()
-        embedding_keywords = (
-            'embedding',
-            'embed',
-            'bge-',
-            'e5-',
-            'm3e',
-            'gte-',
-            'multilingual-e5',
-            'text-embedding',
-        )
-        return 'embedding' if any(keyword in normalized_model_id for keyword in embedding_keywords) else 'llm'
-
-    def _infer_model_abilities(self, item: dict[str, typing.Any], model_id: str) -> list[str]:
-        normalized_model_id = (model_id or '').lower()
-        abilities: set[str] = set()
-
-        def _flatten(value: typing.Any) -> list[str]:
-            if value is None:
-                return []
-            if isinstance(value, str):
-                return [value.lower()]
-            if isinstance(value, dict):
-                flattened: list[str] = []
-                for nested_value in value.values():
-                    flattened.extend(_flatten(nested_value))
-                return flattened
-            if isinstance(value, (list, tuple, set)):
-                flattened: list[str] = []
-                for nested_value in value:
-                    flattened.extend(_flatten(nested_value))
-                return flattened
-            return [str(value).lower()]
-
-        capability_tokens = _flatten(item.get('capabilities'))
-        capability_tokens.extend(_flatten(item.get('modalities')))
-        capability_tokens.extend(_flatten(item.get('input_modalities')))
-        capability_tokens.extend(_flatten(item.get('output_modalities')))
-        capability_tokens.extend(_flatten(item.get('supported_generation_methods')))
-        capability_tokens.extend(_flatten(item.get('supported_parameters')))
-        capability_tokens.extend(_flatten(item.get('architecture')))
-
-        combined_tokens = capability_tokens + [normalized_model_id]
-
-        vision_keywords = (
-            'vision',
-            'image',
-            'file',
-            'video',
-            'multimodal',
-            'vl',
-            'ocr',
-            'omni',
-        )
-        function_call_keywords = (
-            'function',
-            'tool',
-            'tools',
-            'tool_choice',
-            'tool_call',
-            'tool-use',
-            'tool_use',
-        )
-
-        if any(any(keyword in token for keyword in vision_keywords) for token in combined_tokens):
-            abilities.add('vision')
-
-        if any(any(keyword in token for keyword in function_call_keywords) for token in combined_tokens):
-            abilities.add('func_call')
-
-        return sorted(abilities)
-
-    def _normalize_modalities(self, value: typing.Any) -> list[str]:
-        normalized: list[str] = []
-
-        def _collect(item: typing.Any):
-            if item is None:
-                return
-            if isinstance(item, str):
-                for part in item.replace('->', ',').replace('+', ',').split(','):
-                    token = part.strip().lower()
-                    if token and token not in normalized:
-                        normalized.append(token)
-                return
-            if isinstance(item, dict):
-                for nested in item.values():
-                    _collect(nested)
-                return
-            if isinstance(item, (list, tuple, set)):
-                for nested in item:
-                    _collect(nested)
-                return
-
-        _collect(value)
-        return normalized
-
-    def _extract_scan_metadata(self, item: dict[str, typing.Any], model_id: str) -> dict[str, typing.Any]:
-        display_name = item.get('name')
-        if not isinstance(display_name, str) or not display_name.strip() or display_name == model_id:
-            display_name = ''
-
-        description = item.get('description')
-        if not isinstance(description, str) or not description.strip():
-            description = ''
-
-        context_length = item.get('context_length')
-        if context_length is None and isinstance(item.get('top_provider'), dict):
-            context_length = item['top_provider'].get('context_length')
-
-        if not isinstance(context_length, int):
-            try:
-                context_length = int(context_length) if context_length is not None else None
-            except (TypeError, ValueError):
-                context_length = None
-
-        input_modalities = self._normalize_modalities(item.get('input_modalities'))
-        output_modalities = self._normalize_modalities(item.get('output_modalities'))
-
-        if isinstance(item.get('architecture'), dict):
-            if not input_modalities:
-                input_modalities = self._normalize_modalities(item['architecture'].get('input_modalities'))
-            if not output_modalities:
-                output_modalities = self._normalize_modalities(item['architecture'].get('output_modalities'))
-
-        owned_by = item.get('owned_by')
-        if not isinstance(owned_by, str) or not owned_by.strip():
-            owned_by = ''
-
-        return {
-            'display_name': display_name or None,
-            'description': description or None,
-            'context_length': context_length,
-            'owned_by': owned_by or None,
-            'input_modalities': input_modalities,
-            'output_modalities': output_modalities,
-        }
-
-    async def scan_models(self, api_key: str | None = None) -> dict[str, typing.Any]:
-        headers = {}
-        if api_key:
-            headers['Authorization'] = f'Bearer {api_key}'
-
-        models_url = f'{self.requester_cfg["base_url"].rstrip("/")}/models'
-        async with httpx.AsyncClient(trust_env=True, timeout=self.requester_cfg['timeout']) as client:
-            response = await client.get(models_url, headers=headers)
-            response.raise_for_status()
-            payload = response.json()
-
-        models = []
-        for item in payload.get('data', []):
-            model_id = item.get('id')
-            if not model_id:
-                continue
-            models.append(
-                {
-                    'id': model_id,
-                    'name': model_id,
-                    'type': self._infer_model_type(model_id),
-                    'abilities': self._infer_model_abilities(item, model_id),
-                    **self._extract_scan_metadata(item, model_id),
-                }
-            )
-
-        models.sort(key=lambda item: (item['type'] != 'llm', item['name'].lower()))
-        return {
-            'models': models,
-            'debug': {
-                'request': {
-                    'method': 'GET',
-                    'url': models_url,
-                    'headers': {
-                        'Authorization': f'Bearer {self._mask_api_key(api_key)}' if api_key else '',
-                    },
-                },
-                'response': payload,
-            },
-        }
-
     async def _req(
         self,
         args: dict,
@@ -615,88 +429,3 @@ class OpenAIChatCompletions(requester.ProviderAPIRequester):
             raise errors.RequesterError(f'请求过于频繁或余额不足: {e.message}')
         except openai.APIError as e:
             raise errors.RequesterError(f'请求错误: {e.message}')
-
-    async def invoke_rerank(
-        self,
-        model: requester.RuntimeRerankModel,
-        query: str,
-        documents: typing.List[str],
-        extra_args: dict[str, typing.Any] = {},
-    ) -> typing.List[dict]:
-        """Standard /rerank endpoint (Jina/Cohere/SiliconFlow/Voyage/DashScope compatible)
-
-        Supports extra_args from model.extra_args:
-        - rerank_url: full URL override (e.g. "https://dashscope.aliyuncs.com/compatible-api/v1/reranks")
-        - rerank_path: path override appended to base_url (e.g. "reranks" instead of default "rerank")
-        - Any other fields are merged into the request payload.
-        """
-        api_key = model.provider.token_mgr.get_token()
-        base_url = self.requester_cfg.get('base_url', '').rstrip('/')
-        timeout = self.requester_cfg.get('timeout', 120)
-
-        merged_args = {}
-        if model.model_entity.extra_args:
-            merged_args.update(model.model_entity.extra_args)
-        if extra_args:
-            merged_args.update(extra_args)
-
-        rerank_url = merged_args.pop('rerank_url', None)
-        rerank_path = merged_args.pop('rerank_path', 'rerank')
-        if not rerank_url:
-            rerank_url = f'{base_url}/{rerank_path}'
-
-        headers = {
-            'Content-Type': 'application/json',
-            'Authorization': f'Bearer {api_key}',
-        }
-
-        payload = {
-            'model': model.model_entity.name,
-            'query': query,
-            'documents': documents[:64],
-            'top_n': min(len(documents), 64),
-        }
-
-        if merged_args:
-            payload.update(merged_args)
-
-        try:
-            async with httpx.AsyncClient(trust_env=True, timeout=timeout) as client:
-                resp = await client.post(rerank_url, headers=headers, json=payload)
-                resp.raise_for_status()
-                data = resp.json()
-
-            results = self._parse_rerank_response(data)
-
-            if results:
-                scores = [r.get('relevance_score', 0.0) for r in results]
-                min_score = min(scores)
-                max_score = max(scores)
-                if max_score - min_score > 1e-6:
-                    for r in results:
-                        r['relevance_score'] = (r['relevance_score'] - min_score) / (max_score - min_score)
-
-            return results
-        except httpx.HTTPStatusError as e:
-            raise errors.RequesterError(f'Rerank request failed: {e.response.status_code} - {e.response.text}')
-        except httpx.TimeoutException:
-            raise errors.RequesterError('Rerank request timed out')
-        except Exception as e:
-            raise errors.RequesterError(f'Rerank request error: {str(e)}')
-
-    @staticmethod
-    def _parse_rerank_response(data: dict) -> typing.List[dict]:
-        """Parse rerank response from various providers.
-
-        Handles:
-        - Jina/Cohere/SiliconFlow: {"results": [{"index", "relevance_score"}]}
-        - Voyage AI: {"data": [{"index", "relevance_score"}]}
-        - DashScope: {"output": {"results": [{"index", "relevance_score"}]}}
-        """
-        if 'results' in data:
-            return data['results']
-        if 'data' in data:
-            return data['data']
-        if 'output' in data and isinstance(data['output'], dict):
-            return data['output'].get('results', [])
-        return []

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

@@ -25,7 +25,6 @@ spec:
   support_type:
   - llm
   - text-embedding
-  - rerank
   provider_category: manufacturer
 execution:
   python:

src/langbot/pkg/provider/modelmgr/requesters/chroma.svg

@@ -1,8 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 128 128" id="Chroma--Streamline-Svg-Logos" height="128" width="128">
-  <desc>
-    Chroma Streamline Icon: https://streamlinehq.com
-  </desc>
-  <path fill="#ffde2d" d="M84.88839999999999 104.10666666666665c23.0732 0 41.77773333333333 -17.956266666666664 41.77773333333333 -40.10653333333333 0 -22.150266666666667 -18.70453333333333 -40.10653333333333 -41.77773333333333 -40.10653333333333 -23.0732 0 -41.77773333333333 17.956266666666664 -41.77773333333333 40.10653333333333 0 22.150266666666667 18.70453333333333 40.10653333333333 41.77773333333333 40.10653333333333Z" stroke-width="1.3333"></path>
-  <path fill="#327eff" d="M43.111066666666666 104.10666666666665c23.0732 0 41.77773333333333 -17.956266666666664 41.77773333333333 -40.10653333333333 0 -22.150266666666667 -18.70453333333333 -40.10653333333333 -41.77773333333333 -40.10653333333333C20.037866666666666 23.8936 1.3333333333333333 41.849866666666664 1.3333333333333333 64.00013333333334 1.3333333333333333 86.15039999999999 20.037866666666666 104.10666666666665 43.111066666666666 104.10666666666665Z" stroke-width="1.3333"></path>
-  <path fill="#ff6446" d="M84.88866666666667 64.00013333333334c0 22.150399999999998 -18.704666666666665 40.10626666666666 -41.778 40.10626666666666V64.00013333333334h41.778Zm-41.778 0c0 -22.150266666666667 18.70453333333333 -40.10653333333333 41.778 -40.10653333333333v40.10653333333333H43.11066666666666Z" stroke-width="1.3333"></path>
-</svg>

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

@@ -1,61 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import requester
-
-REQUESTER_NAME: str = 'chroma-embedding'
-
-
-class ChromaEmbedding(requester.ProviderAPIRequester):
-    """Chroma built-in embedding requester.
-
-    Uses chromadb's DefaultEmbeddingFunction (all-MiniLM-L6-v2).
-    The embedding function runs locally using ONNX Runtime.
-    """
-
-    default_config: dict[str, typing.Any] = {
-        'base_url': '',
-    }
-
-    _embedding_function = None
-
-    async def initialize(self):
-        try:
-            from chromadb.utils import embedding_functions
-        except ImportError:
-            raise ImportError('chromadb is not installed. Install it with: pip install chromadb')
-
-        self._embedding_function = embedding_functions.DefaultEmbeddingFunction()
-
-    async def invoke_llm(
-        self,
-        query,
-        model: requester.RuntimeLLMModel,
-        messages: typing.List,
-        funcs: typing.List = None,
-        extra_args: dict[str, typing.Any] = {},
-        remove_think: bool = False,
-    ):
-        raise NotImplementedError('Chroma embedding does not support LLM inference')
-
-    async def invoke_embedding(
-        self,
-        model: requester.RuntimeEmbeddingModel,
-        input_text: typing.List[str],
-        extra_args: dict[str, typing.Any] = {},
-    ) -> typing.List[typing.List[float]]:
-        """Generate embeddings using Chroma's DefaultEmbeddingFunction."""
-        if self._embedding_function is None:
-            await self.initialize()
-
-        try:
-            result = self._embedding_function(input_text)
-            # DefaultEmbeddingFunction returns list of ndarray, convert for JSON
-            if isinstance(result, list):
-                return [item.tolist() if hasattr(item, 'tolist') else item for item in result]
-            return result.tolist() if hasattr(result, 'tolist') else result
-        except Exception as e:
-            from .. import errors
-
-            raise errors.RequesterError(f'Chroma embedding failed: {str(e)}')

src/langbot/pkg/provider/modelmgr/requesters/chromaembed.yaml

@@ -1,21 +0,0 @@
-apiVersion: v1
-kind: LLMAPIRequester
-metadata:
-  name: chroma-embedding
-  label:
-    en_US: Chroma Embedding
-    zh_Hans: Chroma 嵌入
-  description:
-    en_US: Chroma built-in embedding model (all-MiniLM-L6-v2), runs locally using ONNX Runtime. First-time use will download model files automatically.
-    zh_Hans: 使用 Chroma 内置嵌入模型 (all-MiniLM-L6-v2)，基于 ONNX Runtime 本地运行。首次使用时将自动下载模型文件。
-    ja_JP: Chroma 組み込み埋め込みモデル (all-MiniLM-L6-v2) を使用します。ONNX Runtime でローカル実行。初回使用時にモデルファイルが自動ダウンロードされます。
-  icon: chroma.svg
-spec:
-  config: []
-  support_type:
-  - text-embedding
-  provider_category: builtin
-execution:
-  python:
-    path: ./chromaembed.py
-    attr: ChromaEmbedding

src/langbot/pkg/provider/modelmgr/requesters/cohere.svg

@@ -1 +0,0 @@
-<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Cohere</title><path clip-rule="evenodd" d="M8.128 14.099c.592 0 1.77-.033 3.398-.703 1.897-.781 5.672-2.2 8.395-3.656 1.905-1.018 2.74-2.366 2.74-4.18A4.56 4.56 0 0018.1 1H7.549A6.55 6.55 0 001 7.55c0 3.617 2.745 6.549 7.128 6.549z" fill="#39594D" fill-rule="evenodd"></path><path clip-rule="evenodd" d="M9.912 18.61a4.387 4.387 0 012.705-4.052l3.323-1.38c3.361-1.394 7.06 1.076 7.06 4.715a5.104 5.104 0 01-5.105 5.104l-3.597-.001a4.386 4.386 0 01-4.386-4.387z" fill="#D18EE2" fill-rule="evenodd"></path><path d="M4.776 14.962A3.775 3.775 0 001 18.738v.489a3.776 3.776 0 007.551 0v-.49a3.775 3.775 0 00-3.775-3.775z" fill="#FF7759"></path></svg>

src/langbot/pkg/provider/modelmgr/requesters/coherererank.yaml

@@ -1,31 +0,0 @@
-apiVersion: v1
-kind: LLMAPIRequester
-metadata:
-  name: cohere-rerank
-  label:
-    en_US: Cohere
-    zh_Hans: Cohere
-  icon: cohere.svg
-spec:
-  config:
-  - name: base_url
-    label:
-      en_US: Base URL
-      zh_Hans: 基础 URL
-    type: string
-    required: true
-    default: https://api.cohere.com/v2
-  - name: timeout
-    label:
-      en_US: Timeout
-      zh_Hans: 超时时间
-    type: integer
-    required: true
-    default: 120
-  support_type:
-  - rerank
-  provider_category: manufacturer
-execution:
-  python:
-    path: ./chatcmpl.py
-    attr: OpenAIChatCompletions

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

@@ -1,7 +1,6 @@
 from __future__ import annotations
 
 import typing
-import httpx
 
 from . import chatcmpl
 
@@ -21,68 +20,6 @@ class GeminiChatCompletions(chatcmpl.OpenAIChatCompletions):
         'timeout': 120,
     }
 
-    async def scan_models(self, api_key: str | None = None) -> dict[str, typing.Any]:
-        models_url = 'https://generativelanguage.googleapis.com/v1beta/models'
-        params = {'key': api_key} if api_key else {}
-
-        all_models: list[dict[str, typing.Any]] = []
-        next_page_token = ''
-        last_payload: dict[str, typing.Any] = {}
-
-        async with httpx.AsyncClient(trust_env=True, timeout=self.requester_cfg['timeout']) as client:
-            while True:
-                request_params = dict(params)
-                if next_page_token:
-                    request_params['pageToken'] = next_page_token
-
-                response = await client.get(models_url, params=request_params)
-                response.raise_for_status()
-                payload = response.json()
-                last_payload = payload
-
-                for item in payload.get('models', []):
-                    model_name = item.get('name', '')
-                    model_id = model_name.replace('models/', '', 1)
-                    if not model_id:
-                        continue
-
-                    supported_methods = item.get('supportedGenerationMethods', []) or []
-                    if 'embedContent' in supported_methods and 'generateContent' not in supported_methods:
-                        model_type = 'embedding'
-                    else:
-                        model_type = 'llm'
-
-                    all_models.append(
-                        {
-                            'id': model_id,
-                            'name': model_id,
-                            'type': model_type,
-                            'abilities': self._infer_model_abilities(item, model_id),
-                            'display_name': item.get('displayName') or None,
-                            'description': item.get('description') or None,
-                            'context_length': item.get('inputTokenLimit'),
-                            'input_modalities': self._normalize_modalities(item.get('inputModalities')),
-                            'output_modalities': self._normalize_modalities(item.get('outputModalities')),
-                        }
-                    )
-
-                next_page_token = payload.get('nextPageToken', '')
-                if not next_page_token:
-                    break
-
-        all_models.sort(key=lambda item: (item['type'] != 'llm', item['name'].lower()))
-        return {
-            'models': all_models,
-            'debug': {
-                'request': {
-                    'method': 'GET',
-                    'url': models_url,
-                    'query': {'key': self._mask_api_key(api_key)} if api_key else {},
-                },
-                'response': last_payload,
-            },
-        }
-
     async def _closure_stream(
         self,
         query: pipeline_query.Query,

src/langbot/pkg/provider/modelmgr/requesters/giteeaichatcmpl.yaml

@@ -25,7 +25,6 @@ spec:
   support_type:
   - llm
   - text-embedding
-  - rerank
   provider_category: maas
 execution:
   python:

src/langbot/pkg/provider/modelmgr/requesters/jina.svg

@@ -1 +0,0 @@
-<svg fill="currentColor" fill-rule="evenodd" height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Jina</title><path d="M6.608 21.416a4.608 4.608 0 100-9.217 4.608 4.608 0 000 9.217zM20.894 2.015c.614 0 1.106.492 1.106 1.106v9.002c0 5.13-4.148 9.309-9.217 9.37v-9.355l-.03-9.032c0-.614.491-1.106 1.106-1.106h7.158l-.123.015z"></path></svg>

src/langbot/pkg/provider/modelmgr/requesters/jinarerank.yaml

@@ -1,31 +0,0 @@
-apiVersion: v1
-kind: LLMAPIRequester
-metadata:
-  name: jina-rerank
-  label:
-    en_US: Jina
-    zh_Hans: Jina
-  icon: jina.svg
-spec:
-  config:
-  - name: base_url
-    label:
-      en_US: Base URL
-      zh_Hans: 基础 URL
-    type: string
-    required: true
-    default: https://api.jina.ai/v1
-  - name: timeout
-    label:
-      en_US: Timeout
-      zh_Hans: 超时时间
-    type: integer
-    required: true
-    default: 120
-  support_type:
-  - rerank
-  provider_category: manufacturer
-execution:
-  python:
-    path: ./chatcmpl.py
-    attr: OpenAIChatCompletions

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

@@ -31,175 +31,6 @@ class ModelScopeChatCompletions(requester.ProviderAPIRequester):
             http_client=httpx.AsyncClient(trust_env=True, timeout=self.requester_cfg['timeout']),
         )
 
-    def _mask_api_key(self, api_key: str | None) -> str:
-        if not api_key:
-            return ''
-        if len(api_key) <= 8:
-            return '****'
-        return f'{api_key[:4]}...{api_key[-4:]}'
-
-    def _infer_model_type(self, model_id: str) -> str:
-        normalized_model_id = (model_id or '').lower()
-        embedding_keywords = (
-            'embedding',
-            'embed',
-            'bge-',
-            'e5-',
-            'm3e',
-            'gte-',
-            'multilingual-e5',
-            'text-embedding',
-        )
-        return 'embedding' if any(keyword in normalized_model_id for keyword in embedding_keywords) else 'llm'
-
-    def _infer_model_abilities(self, item: dict[str, typing.Any], model_id: str) -> list[str]:
-        normalized_model_id = (model_id or '').lower()
-        abilities: set[str] = set()
-
-        def _flatten(value: typing.Any) -> list[str]:
-            if value is None:
-                return []
-            if isinstance(value, str):
-                return [value.lower()]
-            if isinstance(value, dict):
-                flattened: list[str] = []
-                for nested_value in value.values():
-                    flattened.extend(_flatten(nested_value))
-                return flattened
-            if isinstance(value, (list, tuple, set)):
-                flattened: list[str] = []
-                for nested_value in value:
-                    flattened.extend(_flatten(nested_value))
-                return flattened
-            return [str(value).lower()]
-
-        capability_tokens = _flatten(item.get('capabilities'))
-        capability_tokens.extend(_flatten(item.get('modalities')))
-        capability_tokens.extend(_flatten(item.get('input_modalities')))
-        capability_tokens.extend(_flatten(item.get('output_modalities')))
-        capability_tokens.extend(_flatten(item.get('supported_generation_methods')))
-        capability_tokens.extend(_flatten(item.get('supported_parameters')))
-        capability_tokens.extend(_flatten(item.get('architecture')))
-
-        combined_tokens = capability_tokens + [normalized_model_id]
-
-        vision_keywords = ('vision', 'image', 'file', 'video', 'multimodal', 'vl', 'ocr', 'omni')
-        function_call_keywords = ('function', 'tool', 'tools', 'tool_choice', 'tool_call', 'tool-use', 'tool_use')
-
-        if any(any(keyword in token for keyword in vision_keywords) for token in combined_tokens):
-            abilities.add('vision')
-
-        if any(any(keyword in token for keyword in function_call_keywords) for token in combined_tokens):
-            abilities.add('func_call')
-
-        return sorted(abilities)
-
-    def _normalize_modalities(self, value: typing.Any) -> list[str]:
-        normalized: list[str] = []
-
-        def _collect(item: typing.Any):
-            if item is None:
-                return
-            if isinstance(item, str):
-                for part in item.replace('->', ',').replace('+', ',').split(','):
-                    token = part.strip().lower()
-                    if token and token not in normalized:
-                        normalized.append(token)
-                return
-            if isinstance(item, dict):
-                for nested in item.values():
-                    _collect(nested)
-                return
-            if isinstance(item, (list, tuple, set)):
-                for nested in item:
-                    _collect(nested)
-                return
-
-        _collect(value)
-        return normalized
-
-    def _extract_scan_metadata(self, item: dict[str, typing.Any], model_id: str) -> dict[str, typing.Any]:
-        display_name = item.get('name')
-        if not isinstance(display_name, str) or not display_name.strip() or display_name == model_id:
-            display_name = ''
-
-        description = item.get('description')
-        if not isinstance(description, str) or not description.strip():
-            description = ''
-
-        context_length = item.get('context_length')
-        if context_length is None and isinstance(item.get('top_provider'), dict):
-            context_length = item['top_provider'].get('context_length')
-
-        if not isinstance(context_length, int):
-            try:
-                context_length = int(context_length) if context_length is not None else None
-            except (TypeError, ValueError):
-                context_length = None
-
-        input_modalities = self._normalize_modalities(item.get('input_modalities'))
-        output_modalities = self._normalize_modalities(item.get('output_modalities'))
-
-        if isinstance(item.get('architecture'), dict):
-            if not input_modalities:
-                input_modalities = self._normalize_modalities(item['architecture'].get('input_modalities'))
-            if not output_modalities:
-                output_modalities = self._normalize_modalities(item['architecture'].get('output_modalities'))
-
-        owned_by = item.get('owned_by')
-        if not isinstance(owned_by, str) or not owned_by.strip():
-            owned_by = ''
-
-        return {
-            'display_name': display_name or None,
-            'description': description or None,
-            'context_length': context_length,
-            'owned_by': owned_by or None,
-            'input_modalities': input_modalities,
-            'output_modalities': output_modalities,
-        }
-
-    async def scan_models(self, api_key: str | None = None) -> dict[str, typing.Any]:
-        headers = {}
-        if api_key:
-            headers['Authorization'] = f'Bearer {api_key}'
-
-        models_url = f'{self.requester_cfg["base_url"].rstrip("/")}/models'
-        async with httpx.AsyncClient(trust_env=True, timeout=self.requester_cfg['timeout']) as client:
-            response = await client.get(models_url, headers=headers)
-            response.raise_for_status()
-            payload = response.json()
-
-        models = []
-        for item in payload.get('data', []):
-            model_id = item.get('id')
-            if not model_id:
-                continue
-            models.append(
-                {
-                    'id': model_id,
-                    'name': model_id,
-                    'type': self._infer_model_type(model_id),
-                    'abilities': self._infer_model_abilities(item, model_id),
-                    **self._extract_scan_metadata(item, model_id),
-                }
-            )
-
-        models.sort(key=lambda item: (item['type'] != 'llm', item['name'].lower()))
-        return {
-            'models': models,
-            'debug': {
-                'request': {
-                    'method': 'GET',
-                    'url': models_url,
-                    'headers': {
-                        'Authorization': f'Bearer {self._mask_api_key(api_key)}' if api_key else '',
-                    },
-                },
-                'response': payload,
-            },
-        }
-
     async def _req(
         self,
         query: pipeline_query.Query,

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

@@ -8,7 +8,6 @@ import uuid
 import json
 
 import ollama
-import httpx
 
 from .. import errors, requester
 import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
@@ -32,60 +31,6 @@ class OllamaChatCompletions(requester.ProviderAPIRequester):
         os.environ['OLLAMA_HOST'] = self.requester_cfg['base_url']
         self.client = ollama.AsyncClient(timeout=self.requester_cfg['timeout'])
 
-    def _infer_model_type(self, model_id: str) -> str:
-        normalized_model_id = (model_id or '').lower()
-        embedding_keywords = ('embedding', 'embed', 'bge-', 'e5-', 'm3e', 'gte-', 'text-embedding')
-        return 'embedding' if any(keyword in normalized_model_id for keyword in embedding_keywords) else 'llm'
-
-    def _infer_model_abilities(self, item: dict[str, typing.Any], model_id: str) -> list[str]:
-        normalized_model_id = (model_id or '').lower()
-        abilities: set[str] = set()
-        details = item.get('details', {}) or {}
-        families = details.get('families', []) or []
-        tokens = [normalized_model_id, str(details.get('family', '')).lower()]
-        tokens.extend(str(family).lower() for family in families)
-
-        if any(keyword in token for token in tokens for keyword in ('vision', 'vl', 'omni', 'llava', 'ocr')):
-            abilities.add('vision')
-        if any(keyword in token for token in tokens for keyword in ('tool', 'function')):
-            abilities.add('func_call')
-        return sorted(abilities)
-
-    async def scan_models(self, api_key: str | None = None) -> dict[str, typing.Any]:
-        del api_key
-        models_url = f'{self.requester_cfg["base_url"].rstrip("/")}/api/tags'
-
-        async with httpx.AsyncClient(trust_env=True, timeout=self.requester_cfg['timeout']) as client:
-            response = await client.get(models_url)
-            response.raise_for_status()
-            payload = response.json()
-
-        models: list[dict[str, typing.Any]] = []
-        for item in payload.get('models', []):
-            model_id = item.get('model') or item.get('name')
-            if not model_id:
-                continue
-            models.append(
-                {
-                    'id': model_id,
-                    'name': item.get('name', model_id),
-                    'type': self._infer_model_type(model_id),
-                    'abilities': self._infer_model_abilities(item, model_id),
-                }
-            )
-
-        models.sort(key=lambda item: (item['type'] != 'llm', item['name'].lower()))
-        return {
-            'models': models,
-            'debug': {
-                'request': {
-                    'method': 'GET',
-                    'url': models_url,
-                },
-                'response': payload,
-            },
-        }
-
     async def _req(
         self,
         args: dict,
@@ -159,21 +104,6 @@ class OllamaChatCompletions(requester.ProviderAPIRequester):
 
         return ret_msg
 
-    async def _prepare_messages(
-        self,
-        messages: typing.List[provider_message.Message],
-    ) -> list[dict]:
-        """Prepare messages for Ollama API request."""
-        req_messages: list = []
-        for m in messages:
-            msg_dict: dict = m.dict(exclude_none=True)
-            content: Any = msg_dict.get('content')
-            if isinstance(content, list):
-                if all(isinstance(part, dict) and part.get('type') == 'text' for part in content):
-                    msg_dict['content'] = '\n'.join(part['text'] for part in content)
-            req_messages.append(msg_dict)
-        return req_messages
-
     async def invoke_llm(
         self,
         query: pipeline_query.Query,
@@ -183,7 +113,14 @@ class OllamaChatCompletions(requester.ProviderAPIRequester):
         extra_args: dict[str, typing.Any] = {},
         remove_think: bool = False,
     ) -> provider_message.Message:
-        req_messages = await self._prepare_messages(messages)
+        req_messages: list = []
+        for m in messages:
+            msg_dict: dict = m.dict(exclude_none=True)
+            content: Any = msg_dict.get('content')
+            if isinstance(content, list):
+                if all(isinstance(part, dict) and part.get('type') == 'text' for part in content):
+                    msg_dict['content'] = '\n'.join(part['text'] for part in content)
+            req_messages.append(msg_dict)
         try:
             return await self._closure(
                 query=query,
@@ -196,109 +133,6 @@ class OllamaChatCompletions(requester.ProviderAPIRequester):
         except asyncio.TimeoutError:
             raise errors.RequesterError('请求超时')
 
-    async def invoke_llm_stream(
-        self,
-        query: pipeline_query.Query,
-        model: requester.RuntimeLLMModel,
-        messages: typing.List[provider_message.Message],
-        funcs: typing.List[resource_tool.LLMTool] = None,
-        extra_args: dict[str, typing.Any] = {},
-        remove_think: bool = False,
-    ) -> provider_message.MessageChunk:
-        req_messages = await self._prepare_messages(messages)
-
-        try:
-            args = extra_args.copy()
-            args['model'] = model.model_entity.name
-
-            # Process messages for Ollama format
-            msgs: list[dict] = req_messages.copy()
-            for msg in msgs:
-                if 'content' in msg and isinstance(msg['content'], list):
-                    text_content: list = []
-                    image_urls: list = []
-                    for me in msg['content']:
-                        if me['type'] == 'text':
-                            text_content.append(me['text'])
-                        elif me['type'] == 'image_base64':
-                            image_urls.append(me['image_base64'])
-                    msg['content'] = '\n'.join(text_content)
-                    msg['images'] = [url.split(',')[1] for url in image_urls]
-                if 'tool_calls' in msg:
-                    for tool_call in msg['tool_calls']:
-                        tool_call['function']['arguments'] = json.loads(tool_call['function']['arguments'])
-            args['messages'] = msgs
-
-            args['tools'] = []
-            if funcs:
-                tools = await self.ap.tool_mgr.generate_tools_for_openai(funcs)
-                if tools:
-                    args['tools'] = tools
-
-            args['stream'] = True
-
-            chunk_idx = 0
-            thinking_started = False
-            thinking_ended = False
-            role = 'assistant'
-
-            async for chunk in await self.client.chat(**args):
-                message: ollama.Message = chunk.message
-                done = chunk.done
-
-                delta_content = message.content or ''
-                reasoning_content = getattr(message, 'thinking', '') or ''
-
-                # Handle reasoning/thinking content
-                if reasoning_content:
-                    if remove_think:
-                        chunk_idx += 1
-                        continue
-
-                    if not thinking_started:
-                        thinking_started = True
-                        delta_content = '<think>\n' + reasoning_content
-                    else:
-                        delta_content = reasoning_content
-                elif thinking_started and not thinking_ended and delta_content:
-                    thinking_ended = True
-                    delta_content = '\n</think>\n' + delta_content
-
-                # Handle tool calls
-                tool_calls_data = None
-                if message.tool_calls:
-                    tool_calls_data = []
-                    for tc in message.tool_calls:
-                        tool_calls_data.append(
-                            {
-                                'id': uuid.uuid4().hex,
-                                'type': 'function',
-                                'function': {
-                                    'name': tc.function.name,
-                                    'arguments': json.dumps(tc.function.arguments),
-                                },
-                            }
-                        )
-
-                # Skip empty first chunk
-                if chunk_idx == 0 and not delta_content and not reasoning_content and not tool_calls_data:
-                    chunk_idx += 1
-                    continue
-
-                chunk_data = {
-                    'role': role,
-                    'content': delta_content if delta_content else None,
-                    'tool_calls': tool_calls_data,
-                    'is_final': bool(done),
-                }
-                chunk_data = {k: v for k, v in chunk_data.items() if v is not None}
-
-                yield provider_message.MessageChunk(**chunk_data)
-                chunk_idx += 1
-
-        except asyncio.TimeoutError:
-            raise errors.RequesterError('请求超时')
-
     async def invoke_embedding(
         self,
         model: requester.RuntimeEmbeddingModel,

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

@@ -15,11 +15,3 @@ class OpenRouterChatCompletions(modelscopechatcmpl.ModelScopeChatCompletions):
         'base_url': 'https://openrouter.ai/api/v1',
         'timeout': 120,
     }
-
-    async def scan_models(self, api_key: str | None = None) -> dict[str, typing.Any]:
-        original_base_url = self.requester_cfg.get('base_url', '')
-        self.requester_cfg['base_url'] = 'https://openrouter.ai/api/v1'
-        try:
-            return await super().scan_models(api_key)
-        finally:
-            self.requester_cfg['base_url'] = original_base_url

src/langbot/pkg/provider/modelmgr/requesters/openrouterchatcmpl.yaml

@@ -25,7 +25,6 @@ spec:
   support_type:
   - llm
   - text-embedding
-  - rerank
   provider_category: maas
 execution:
   python:

src/langbot/pkg/provider/modelmgr/requesters/seekdb.svg

@@ -1,17 +1,8 @@
-<svg id="_图层_1" data-name="图层 1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 334.84 76.22">
-  <defs>
-    <style>
-      .cls-1 {
-        fill: currentColor;
-      }
-    </style>
-  </defs>
-  <path class="cls-1" d="M308.56,23.63c-5.04,0-9.73,1.43-13.73,3.88V1.08l-12.56,4.61v70h12.56v-3.35c4,2.46,8.71,3.88,13.73,3.88,14.49,0,26.29-11.79,26.29-26.29s-11.79-26.29-26.29-26.29h0ZM308.56,63.88c-6.87,0-12.57-4.98-13.73-11.51v-4.91c1.16-6.54,6.88-11.51,13.73-11.51,7.7,0,13.96,6.26,13.96,13.96s-6.26,13.96-13.96,13.96Z"></path>
-  <path class="cls-1" d="M255.54,5.69v21.83c-4-2.46-8.71-3.88-13.73-3.88-14.49,0-26.29,11.79-26.29,26.29s11.79,26.29,26.29,26.29c5.04,0,9.73-1.43,13.73-3.88v3.35h12.56V1.08l-12.56,4.61ZM241.81,63.88c-7.7,0-13.96-6.26-13.96-13.96s6.26-13.96,13.96-13.96c6.87,0,12.57,4.98,13.73,11.51v4.91c-1.16,6.54-6.88,11.51-13.73,11.51Z"></path>
-  <polygon class="cls-1" points="195.35 52.2 186.65 61.17 200.64 75.62 209.32 75.62 218.01 75.62 195.35 52.2"></polygon>
-  <path class="cls-1" d="M167.14,4.59c.65,3.99.68,8.04.03,12.15-.03.17.16.3.31.21,3.82-2.21,7.82-3.69,12.01-4.33.12-.02.19-.13.17-.23-.68-4.13-.61-8.18-.03-12.16.02-.17-.16-.3-.31-.2-4.01,2.31-8.01,3.81-12.01,4.34-.12.01-.19.12-.17.23h0Z"></path>
-  <path class="cls-1" d="M198.75,24.09l-19.07,19.72v-25.57c-4.49.67-8.7,2.11-12.56,4.57v52.83h12.56v-13.87l3.78-3.9.02.02,8.68-8.97-.02-.02,23.98-24.8h-17.37Z"></path>
-  <path class="cls-1" d="M145.03,57.86c-2.56,4.45-7.17,7.2-12.13,7.2-5.96,0-11.3-3.96-13.32-9.85h38.87l.08-.42c.29-1.5.42-3.06.42-4.65,0-14.37-11.69-26.06-26.06-26.06s-26.06,11.69-26.06,26.06,11.69,26.06,26.06,26.06c9.63,0,18.43-5.28,22.98-13.77l.26-.49-11.1-4.08h-.01ZM132.88,35.19h.03c5.96,0,11.3,3.96,13.32,9.85h-26.67c2.02-5.89,7.36-9.85,13.32-9.85Z"></path>
-  <path class="cls-1" d="M75.92,65.07c-5.96,0-11.29-3.96-13.32-9.85h38.87l.08-.42c.29-1.5.42-3.06.42-4.65,0-14.37-11.69-26.06-26.06-26.06s-26.06,11.69-26.06,26.06,11.69,26.06,26.06,26.06c9.63,0,18.43-5.28,22.98-13.77l.26-.49h0l-11.1-4.08c-2.56,4.45-7.17,7.2-12.13,7.2h-.01ZM75.92,35.19h.03c5.96,0,11.29,3.96,13.32,9.85h-26.67c2.03-5.89,7.36-9.85,13.32-9.85Z"></path>
-  <path class="cls-1" d="M30.43,45.58l-10.2-1.91c-3.03-.56-4.98-2.25-4.98-4.33,0-1.5,1.61-4.35,7.68-4.35,5.53,0,9.36,3.5,10.25,6.26l10.9-4-.14-.42c-1.17-3.54-3.5-6.58-6.94-9.04-3.49-2.49-8.04-3.69-13.88-3.69s-10.98,1.5-14.78,4.34c-3.88,2.91-5.84,6.76-5.84,11.46,0,7.98,4.72,12.77,14.42,14.64l9.9,1.81c3.05.61,4.94,2.27,4.94,4.33,0,2.61-3.58,4.44-8.7,4.44-5.79,0-9.9-3.72-11.85-7.14L0,62.1l.14.39c1.3,3.8,3.89,7.07,7.7,9.71,3.78,2.6,8.65,3.95,14.51,3.98l.25.03c6.87,0,12.55-1.57,16.43-4.53,3.98-3.05,6-6.99,6-11.74,0-3.73-1.14-6.7-3.6-9.33-2.27-2.42-5.98-4.11-10.98-5.02h-.02Z"></path>
-</svg>
+<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
+  <rect width="24" height="24" rx="5" fill="#1E3A5F"/>
+  <path d="M6 12C6 8.68629 8.68629 6 12 6C15.3137 6 18 8.68629 18 12" stroke="#4FC3F7" stroke-width="2" stroke-linecap="round"/>
+  <path d="M18 12C18 15.3137 15.3137 18 12 18C8.68629 18 6 15.3137 6 12" stroke="#81D4FA" stroke-width="2" stroke-linecap="round"/>
+  <circle cx="12" cy="12" r="2" fill="#4FC3F7"/>
+  <circle cx="6" cy="12" r="1.5" fill="#81D4FA"/>
+  <circle cx="18" cy="12" r="1.5" fill="#4FC3F7"/>
+</svg>

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

@@ -46,15 +46,14 @@ class SeekDBEmbedding(requester.ProviderAPIRequester):
         extra_args: dict[str, typing.Any] = {},
     ) -> typing.List[typing.List[float]]:
         """Generate embeddings using SeekDB's built-in embedding function."""
-        if self._embedding_function is None:
-            await self.initialize()
-
         try:
-            result = self._embedding_function(input_text)
-            # Ensure JSON serialization compatibility
-            if isinstance(result, list):
-                return [item.tolist() if hasattr(item, 'tolist') else item for item in result]
-            return result.tolist() if hasattr(result, 'tolist') else result
+            if self._embedding_function is None:
+                await self.initialize()
+
+            if self._embedding_function is None:
+                raise RuntimeError('SeekDB embedding function initialization failed')
+
+            return self._embedding_function(input_text)
         except Exception as e:
             from .. import errors
 

src/langbot/pkg/provider/modelmgr/requesters/siliconflowchatcmpl.yaml

@@ -25,7 +25,6 @@ spec:
   support_type:
   - llm
   - text-embedding
-  - rerank
   provider_category: maas
 execution:
   python:

src/langbot/pkg/provider/modelmgr/requesters/voyageai.svg

@@ -1 +0,0 @@
-<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Voyage</title><path d="M5.407 0v.066a.974.974 0 00-.048.245c-.011.11-.016.208-.016.295 0 .339.043.715.128 1.13.097.405.274.912.531 1.524l7.125 16.366L20.011 3.39c.161-.404.333-.846.515-1.327.182-.48.273-.966.273-1.458a1.406 1.406 0 00-.096-.54V0H24v.066c-.204.207-.45.578-.74 1.114-.29.535-.606 1.195-.949 1.982L13.095 24h-1.287L3.075 3.965c-.204-.47-.418-.923-.644-1.36-.214-.437-.418-.83-.61-1.18-.194-.36-.365-.66-.515-.9A5.666 5.666 0 001 .064V0h4.407z" fill="#012E33"></path></svg>

src/langbot/pkg/provider/modelmgr/requesters/voyageairerank.yaml

@@ -1,31 +0,0 @@
-apiVersion: v1
-kind: LLMAPIRequester
-metadata:
-  name: voyageai-rerank
-  label:
-    en_US: Voyage AI
-    zh_Hans: Voyage AI
-  icon: voyageai.svg
-spec:
-  config:
-  - name: base_url
-    label:
-      en_US: Base URL
-      zh_Hans: 基础 URL
-    type: string
-    required: true
-    default: https://api.voyageai.com/v1
-  - name: timeout
-    label:
-      en_US: Timeout
-      zh_Hans: 超时时间
-    type: integer
-    required: true
-    default: 120
-  support_type:
-  - rerank
-  provider_category: manufacturer
-execution:
-  python:
-    path: ./chatcmpl.py
-    attr: OpenAIChatCompletions

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

@@ -107,7 +107,7 @@ class DashScopeAPIRunner(runner.RequestRunner):
 
         plain_text, image_ids = await self._preprocess_user_message(query)
         has_thoughts = True  # 获取思考过程
-        remove_think = self.pipeline_config['output'].get('misc', {}).get('remove-think')
+        remove_think = self.pipeline_config['output'].get('misc', '').get('remove-think')
         if remove_think:
             has_thoughts = False
         # 发送对话请求
@@ -141,7 +141,7 @@ class DashScopeAPIRunner(runner.RequestRunner):
                 idx_chunk += 1
                 # 获取流式传输的output
                 stream_output = chunk.get('output', {})
-                stream_think = stream_output.get('thoughts') or []
+                stream_think = stream_output.get('thoughts', [])
                 if stream_think and stream_think[0].get('thought'):
                     if not think_start:
                         think_start = True
@@ -149,7 +149,7 @@ class DashScopeAPIRunner(runner.RequestRunner):
                     else:
                         # 继续输出 reasoning_content
                         pending_content += stream_think[0].get('thought')
-                elif think_start and (not stream_think or stream_think[0].get('thought') == '') and not think_end:
+                elif (not stream_think or stream_think[0].get('thought') == '') and not think_end:
                     think_end = True
                     pending_content += '\n</think>\n'
                 if stream_output.get('text') is not None:
@@ -188,15 +188,15 @@ class DashScopeAPIRunner(runner.RequestRunner):
                 idx_chunk += 1
                 # 获取流式传输的output
                 stream_output = chunk.get('output', {})
-                stream_think = stream_output.get('thoughts') or []
-                if stream_think and stream_think[0].get('thought'):
+                stream_think = stream_output.get('thoughts', [])
+                if stream_think[0].get('thought'):
                     if not think_start:
                         think_start = True
                         pending_content += f'<think>\n{stream_think[0].get("thought")}'
                     else:
                         # 继续输出 reasoning_content
                         pending_content += stream_think[0].get('thought')
-                elif think_start and (not stream_think or stream_think[0].get('thought') == '') and not think_end:
+                elif stream_think[0].get('thought') == '' and not think_end:
                     think_end = True
                     pending_content += '\n</think>\n'
                 if stream_output.get('text') is not None:

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

@@ -172,45 +172,6 @@ class LocalAgentRunner(runner.RequestRunner):
                 if result:
                     all_results.extend(result)
 
-            # Rerank step: re-score results using a rerank model if configured
-            local_agent_config = query.pipeline_config.get('ai', {}).get('local-agent', {})
-            rerank_model_uuid = local_agent_config.get('rerank-model', '')
-            if rerank_model_uuid == '__none__':
-                rerank_model_uuid = ''
-            self.ap.logger.info(
-                f'Rerank config: model_uuid={rerank_model_uuid!r}, '
-                f'results={len(all_results)}, '
-                f'local_agent_keys={list(local_agent_config.keys())}'
-            )
-            if all_results and rerank_model_uuid:
-                try:
-                    rerank_model = await self.ap.model_mgr.get_rerank_model_by_uuid(rerank_model_uuid)
-                    rerank_top_k = int(local_agent_config.get('rerank-top-k', 5))
-
-                    doc_texts = []
-                    for entry in all_results:
-                        text = ' '.join(c.text for c in entry.content if c.type == 'text' and c.text)
-                        doc_texts.append(text)
-
-                    doc_texts_capped = doc_texts[:64]
-                    scores = await rerank_model.provider.invoke_rerank(
-                        model=rerank_model,
-                        query=user_message_text,
-                        documents=doc_texts_capped,
-                    )
-
-                    scored = sorted(scores, key=lambda x: x.get('relevance_score', 0), reverse=True)
-                    top_indices = [s['index'] for s in scored[:rerank_top_k] if s['index'] < len(all_results)]
-                    all_results = [all_results[i] for i in top_indices]
-
-                    self.ap.logger.info(
-                        f'Rerank complete: {len(doc_texts)} docs reranked -> top {len(all_results)} kept (top_k={rerank_top_k})'
-                    )
-                except ValueError:
-                    self.ap.logger.warning(f'Rerank model {rerank_model_uuid} not found, skipping rerank')
-                except Exception as e:
-                    self.ap.logger.warning(f'Rerank failed, using original order: {e}')
-
             final_user_message_text = ''
 
             if all_results:

src/langbot/pkg/provider/runners/n8nsvapi.py

@@ -70,12 +70,11 @@ class N8nServiceAPIRunner(runner.RequestRunner):
 
         return plain_text
 
-    async def _process_response(
+    async def _process_stream_response(
         self, response: aiohttp.ClientResponse
     ) -> typing.AsyncGenerator[provider_message.Message, None]:
-        """处理响应——支持流式格式和普通 JSON 格式"""
+        """处理流式响应——支持部分 JSON 和多个 JSON 对象在同一 chunk 的情况"""
         full_content = ''
-        full_text = ''
         chunk_idx = 0
         is_final = False
         message_idx = 0
@@ -94,7 +93,6 @@ class N8nServiceAPIRunner(runner.RequestRunner):
                 else:
                     chunk_str = str(raw_chunk)
 
-                full_text += chunk_str
                 buffer += chunk_str
 
                 # 尝试从 buffer 中循环解析出 JSON 对象（处理多个对象或部分对象）
@@ -117,7 +115,7 @@ class N8nServiceAPIRunner(runner.RequestRunner):
                         elif obj.get('type') == 'end':
                             is_final = True
 
-                        if is_final or (chunk_idx > 0 and chunk_idx % 8 == 0):
+                        if is_final or chunk_idx % 8 == 0:
                             message_idx += 1
                             yield provider_message.MessageChunk(
                                 role='assistant',
@@ -144,7 +142,6 @@ class N8nServiceAPIRunner(runner.RequestRunner):
                     obj, _ = decoder.raw_decode(buffer)
                     if isinstance(obj, dict):
                         if obj.get('type') == 'item' and 'content' in obj:
-                            chunk_idx += 1
                             full_content += obj['content']
                         elif obj.get('type') == 'end':
                             is_final = True
@@ -159,28 +156,6 @@ class N8nServiceAPIRunner(runner.RequestRunner):
                 preview = buffer[:200]
                 self.ap.logger.warning(f'Failed to parse remaining buffer: {e}; buffer preview: {preview}')
 
-        # n8n 返回普通 JSON 格式（无任何流式 type:item 内容）
-        if chunk_idx == 0:
-            output_content = ''
-            try:
-                response_data = json.loads(full_text.strip())
-                if isinstance(response_data, dict):
-                    if self.output_key in response_data:
-                        output_content = response_data[self.output_key]
-                    else:
-                        output_content = json.dumps(response_data, ensure_ascii=False)
-                else:
-                    output_content = full_text
-            except json.JSONDecodeError:
-                output_content = full_text
-            self.ap.logger.debug(f'n8n webhook response (non-stream): {full_text[:200]}')
-            yield provider_message.MessageChunk(
-                role='assistant',
-                content=output_content,
-                is_final=True,
-                msg_sequence=message_idx + 1,
-            )
-
     async def _call_webhook(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
         """调用n8n webhook"""
         # 生成会话ID（如果不存在）
@@ -245,22 +220,49 @@ class N8nServiceAPIRunner(runner.RequestRunner):
 
             # 调用webhook
             session = httpclient.get_session()
-            async with session.post(
-                self.webhook_url, json=payload, headers=headers, auth=auth, timeout=self.timeout
-            ) as response:
-                if response.status != 200:
-                    error_text = await response.text()
-                    self.ap.logger.error(f'n8n webhook call failed: {response.status}, {error_text}')
-                    raise Exception(f'n8n webhook call failed: {response.status}, {error_text}')
+            if is_stream:
+                # 流式请求
+                async with session.post(
+                    self.webhook_url, json=payload, headers=headers, auth=auth, timeout=self.timeout
+                ) as response:
+                    if response.status != 200:
+                        error_text = await response.text()
+                        self.ap.logger.error(f'n8n webhook call failed: {response.status}, {error_text}')
+                        raise Exception(f'n8n webhook call failed: {response.status}, {error_text}')
 
-                async for chunk in self._process_response(response):
-                    if is_stream:
+                    # 处理流式响应
+                    async for chunk in self._process_stream_response(response):
                         yield chunk
-                    elif chunk.is_final:
-                        yield provider_message.Message(
-                            role='assistant',
-                            content=chunk.content,
-                        )
+            else:
+                async with session.post(
+                    self.webhook_url, json=payload, headers=headers, auth=auth, timeout=self.timeout
+                ) as response:
+                    try:
+                        async for chunk in self._process_stream_response(response):
+                            output_content = chunk.content if chunk.is_final else ''
+                    except:
+                        # 非流式请求（保持原有逻辑）
+                        if response.status != 200:
+                            error_text = await response.text()
+                            self.ap.logger.error(f'n8n webhook call failed: {response.status}, {error_text}')
+                            raise Exception(f'n8n webhook call failed: {response.status}, {error_text}')
+
+                        # 解析响应
+                        response_data = await response.json()
+                        self.ap.logger.debug(f'n8n webhook response: {response_data}')
+
+                        # 从响应中提取输出
+                        if self.output_key in response_data:
+                            output_content = response_data[self.output_key]
+                        else:
+                            # 如果没有指定的输出键，则使用整个响应
+                            output_content = json.dumps(response_data, ensure_ascii=False)
+
+                    # 返回消息
+                    yield provider_message.Message(
+                        role='assistant',
+                        content=output_content,
+                    )
         except Exception as e:
             self.ap.logger.error(f'n8n webhook call exception: {str(e)}')
             raise N8nAPIError(f'n8n webhook call exception: {str(e)}')

src/langbot/pkg/telemetry/telemetry.py

@@ -60,16 +60,7 @@ class TelemetryManager:
                     except Exception:
                         sanitized['query_id'] = str(sanitized.get('query_id', ''))
 
-                for sfield in (
-                    'adapter',
-                    'runner',
-                    'runner_category',
-                    'model_name',
-                    'version',
-                    'edition',
-                    'error',
-                    'timestamp',
-                ):
+                for sfield in ('adapter', 'runner', 'runner_category', 'model_name', 'version', 'error', 'timestamp'):
                     v = sanitized.get(sfield)
                     sanitized[sfield] = '' if v is None else str(v)
 

src/langbot/pkg/utils/constants.py

@@ -2,7 +2,7 @@ import langbot
 
 semantic_version = f'v{langbot.__version__}'
 
-required_database_version = 25
+required_database_version = 26
 """Tag the version of the database schema, used to check if the database needs to be migrated"""
 
 debug_mode = False

src/langbot/pkg/vector/mgr.py

@@ -2,6 +2,11 @@ from __future__ import annotations
 
 from ..core import app
 from .vdb import VectorDatabase, SearchType
+from .vdbs.chroma import ChromaVectorDatabase
+from .vdbs.qdrant import QdrantVectorDatabase
+from .vdbs.seekdb import SeekDBVectorDatabase
+from .vdbs.milvus import MilvusVectorDatabase
+from .vdbs.pgvector_db import PgVectorDatabase
 
 
 class VectorDBManager:
@@ -17,25 +22,17 @@ class VectorDBManager:
             vdb_type = kb_config.get('use')
 
             if vdb_type == 'chroma':
-                from .vdbs.chroma import ChromaVectorDatabase
-
                 self.vector_db = ChromaVectorDatabase(self.ap)
                 self.ap.logger.info('Initialized Chroma vector database backend.')
 
             elif vdb_type == 'qdrant':
-                from .vdbs.qdrant import QdrantVectorDatabase
-
                 self.vector_db = QdrantVectorDatabase(self.ap)
                 self.ap.logger.info('Initialized Qdrant vector database backend.')
             elif vdb_type == 'seekdb':
-                from .vdbs.seekdb import SeekDBVectorDatabase
-
                 self.vector_db = SeekDBVectorDatabase(self.ap)
                 self.ap.logger.info('Initialized SeekDB vector database backend.')
 
             elif vdb_type == 'milvus':
-                from .vdbs.milvus import MilvusVectorDatabase
-
                 # Get Milvus configuration
                 milvus_config = kb_config.get('milvus', {})
                 uri = milvus_config.get('uri', './data/milvus.db')
@@ -45,8 +42,6 @@ class VectorDBManager:
                 self.ap.logger.info('Initialized Milvus vector database backend.')
 
             elif vdb_type == 'pgvector':
-                from .vdbs.pgvector_db import PgVectorDatabase
-
                 # Get pgvector configuration
                 pgvector_config = kb_config.get('pgvector', {})
                 connection_string = pgvector_config.get('connection_string')
@@ -65,13 +60,9 @@ class VectorDBManager:
                 self.ap.logger.info('Initialized pgvector database backend.')
 
             else:
-                from .vdbs.chroma import ChromaVectorDatabase
-
                 self.vector_db = ChromaVectorDatabase(self.ap)
                 self.ap.logger.warning('No valid vector database backend configured, defaulting to Chroma.')
         else:
-            from .vdbs.chroma import ChromaVectorDatabase
-
             self.vector_db = ChromaVectorDatabase(self.ap)
             self.ap.logger.warning('No vector database backend configured, defaulting to Chroma.')
 

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

@@ -1 +1,7 @@
 """Vector database implementations for LangBot."""
+
+from .chroma import ChromaVectorDatabase
+from .qdrant import QdrantVectorDatabase
+from .seekdb import SeekDBVectorDatabase
+
+__all__ = ['ChromaVectorDatabase', 'QdrantVectorDatabase', 'SeekDBVectorDatabase']

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

@@ -52,9 +52,7 @@
                     "content": "You are a helpful assistant."
                 }
             ],
-            "knowledge-bases": [],
-            "rerank-model": "",
-            "rerank-top-k": 5
+            "knowledge-bases": []
         },
         "dify-service-api": {
             "base-url": "https://api.dify.ai/v1",

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

@@ -104,34 +104,6 @@ stages:
           field: __system.is_wizard
           operator: neq
           value: true
-      - name: rerank-model
-        label:
-          en_US: Rerank Model
-          zh_Hans: 重排序模型
-        description:
-          en_US: Optional rerank model to improve retrieval quality by re-scoring retrieved chunks
-          zh_Hans: 可选的重排序模型，通过重新评分检索结果来提升检索质量
-        type: rerank-model-selector
-        required: false
-        default: ''
-        show_if:
-          field: knowledge-bases
-          operator: neq
-          value: []
-      - name: rerank-top-k
-        label:
-          en_US: Rerank Top K
-          zh_Hans: 重排序保留数量
-        description:
-          en_US: Number of top results to keep after reranking
-          zh_Hans: 重排序后保留的最相关结果数量
-        type: integer
-        required: false
-        default: 5
-        show_if:
-          field: rerank-model
-          operator: neq
-          value: ''
   - name: dify-service-api
     label:
       en_US: Dify Service API

tests/unit_tests/pipeline/test_n8nsvapi.py

@@ -1,328 +0,0 @@
-"""
-Unit tests for N8nServiceAPIRunner._process_response
-
-Tests cover four scenarios:
-- Stream adapter + n8n stream format  (type:item/end)
-- Stream adapter + n8n plain JSON
-- Non-stream adapter + n8n stream format
-- Non-stream adapter + n8n plain JSON
-"""
-
-from __future__ import annotations
-
-import json
-import sys
-from unittest.mock import AsyncMock, MagicMock, Mock, patch
-
-# Break the circular import chain before importing n8nsvapi:
-#   n8nsvapi → runner → app → pipelinemgr → all runners → runner (partially init)
-_mock_runner = MagicMock()
-_mock_runner.runner_class = lambda name: (lambda cls: cls)  # no-op decorator
-_mock_runner.RequestRunner = object
-sys.modules.setdefault('langbot.pkg.provider.runner', _mock_runner)
-sys.modules.setdefault('langbot.pkg.core.app', MagicMock())
-sys.modules.setdefault('langbot.pkg.utils.httpclient', MagicMock())
-
-import pytest
-import langbot_plugin.api.entities.builtin.provider.message as provider_message
-from langbot.pkg.provider.runners.n8nsvapi import N8nServiceAPIRunner
-
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-def make_runner(output_key: str = 'response') -> N8nServiceAPIRunner:
-    ap = Mock()
-    ap.logger = Mock()
-    pipeline_config = {
-        'ai': {
-            'n8n-service-api': {
-                'webhook-url': 'http://test-n8n/webhook',
-                'output-key': output_key,
-                'auth-type': 'none',
-            }
-        }
-    }
-    return N8nServiceAPIRunner(ap, pipeline_config)
-
-
-def make_mock_response(chunks: list[bytes | str], status: int = 200):
-    """Build a minimal aiohttp.ClientResponse mock with iter_chunked support."""
-    response = Mock()
-    response.status = status
-
-    async def iter_chunked(size):
-        for chunk in chunks:
-            yield chunk
-
-    response.content = Mock()
-    response.content.iter_chunked = iter_chunked
-    return response
-
-
-async def collect_chunks(runner: N8nServiceAPIRunner, chunks: list[bytes | str]):
-    """Run _process_response and collect all yielded MessageChunks."""
-    response = make_mock_response(chunks)
-    result = []
-    async for chunk in runner._process_response(response):
-        result.append(chunk)
-    return result
-
-
-# ---------------------------------------------------------------------------
-# _process_response: stream format (type:item/end)
-# ---------------------------------------------------------------------------
-
-@pytest.mark.asyncio
-async def test_stream_format_single_item():
-    """Single item + end in one chunk yields final chunk with full content."""
-    runner = make_runner()
-    data = b'{"type":"item","content":"hello"}{"type":"end"}'
-
-    chunks = await collect_chunks(runner, [data])
-
-    assert len(chunks) >= 1
-    final = chunks[-1]
-    assert final.is_final is True
-    assert final.content == 'hello'
-
-
-@pytest.mark.asyncio
-async def test_stream_format_multi_item_accumulates():
-    """Multiple items accumulate into full_content."""
-    runner = make_runner()
-    chunks_data = [
-        b'{"type":"item","content":"foo"}',
-        b'{"type":"item","content":"bar"}',
-        b'{"type":"end"}',
-    ]
-
-    chunks = await collect_chunks(runner, chunks_data)
-
-    final = chunks[-1]
-    assert final.is_final is True
-    assert final.content == 'foobar'
-
-
-@pytest.mark.asyncio
-async def test_stream_format_batches_every_8_items():
-    """Every 8th item triggers an intermediate yield before the final."""
-    runner = make_runner()
-    items = [f'{{"type":"item","content":"{i}"}}' for i in range(8)]
-    items.append('{"type":"end"}')
-    data = ''.join(items).encode()
-
-    chunks = await collect_chunks(runner, [data])
-
-    # At least the batch yield at chunk_idx==8 + final yield
-    assert len(chunks) >= 2
-    assert chunks[-1].is_final is True
-
-
-@pytest.mark.asyncio
-async def test_stream_format_split_across_network_chunks():
-    """JSON split across multiple network chunks is reassembled correctly."""
-    runner = make_runner()
-    part1 = b'{"type":"item","con'
-    part2 = b'tent":"world"}{"type":"end"}'
-
-    chunks = await collect_chunks(runner, [part1, part2])
-
-    final = chunks[-1]
-    assert final.is_final is True
-    assert final.content == 'world'
-
-
-@pytest.mark.asyncio
-async def test_stream_format_no_spurious_empty_yield():
-    """chunk_idx==0 guard prevents spurious empty yield before any item is received."""
-    runner = make_runner()
-    # Send some non-stream JSON first, then stream
-    data = b'{"type":"item","content":"x"}{"type":"end"}'
-
-    chunks = await collect_chunks(runner, [data])
-
-    # No chunk should have empty content before the real content arrives
-    non_final = [c for c in chunks if not c.is_final]
-    for c in non_final:
-        assert c.content  # must be non-empty
-
-
-# ---------------------------------------------------------------------------
-# _process_response: plain JSON fallback
-# ---------------------------------------------------------------------------
-
-@pytest.mark.asyncio
-async def test_plain_json_with_output_key():
-    """Plain JSON with matching output_key extracts value via output_key."""
-    runner = make_runner(output_key='response')
-    data = json.dumps({'response': 'hello world'}).encode()
-
-    chunks = await collect_chunks(runner, [data])
-
-    assert len(chunks) == 1
-    assert chunks[0].is_final is True
-    assert chunks[0].content == 'hello world'
-
-
-@pytest.mark.asyncio
-async def test_plain_json_output_key_not_found():
-    """Plain JSON without output_key falls back to entire JSON string."""
-    runner = make_runner(output_key='response')
-    payload = {'other_key': 'hello'}
-    data = json.dumps(payload).encode()
-
-    chunks = await collect_chunks(runner, [data])
-
-    assert len(chunks) == 1
-    assert chunks[0].is_final is True
-    assert json.loads(chunks[0].content) == payload
-
-
-@pytest.mark.asyncio
-async def test_plain_json_output_key_empty_string():
-    """output_key present but value is empty string — returns empty string, not whole JSON."""
-    runner = make_runner(output_key='response')
-    data = json.dumps({'response': ''}).encode()
-
-    chunks = await collect_chunks(runner, [data])
-
-    assert len(chunks) == 1
-    assert chunks[0].is_final is True
-    assert chunks[0].content == ''
-
-
-@pytest.mark.asyncio
-async def test_plain_json_non_dict_response():
-    """Plain JSON array falls back to raw text."""
-    runner = make_runner()
-    data = b'["a", "b"]'
-
-    chunks = await collect_chunks(runner, [data])
-
-    assert len(chunks) == 1
-    assert chunks[0].is_final is True
-    assert chunks[0].content == '["a", "b"]'
-
-
-@pytest.mark.asyncio
-async def test_invalid_json_returns_raw_text():
-    """Non-JSON response returns raw text as-is."""
-    runner = make_runner()
-    data = b'plain text response'
-
-    chunks = await collect_chunks(runner, [data])
-
-    assert len(chunks) == 1
-    assert chunks[0].is_final is True
-    assert chunks[0].content == 'plain text response'
-
-
-# ---------------------------------------------------------------------------
-# _call_webhook: output type depends on is_stream
-# ---------------------------------------------------------------------------
-
-def make_query(is_stream: bool):
-    """Build a minimal Query mock."""
-    query = Mock()
-    query.adapter = AsyncMock()
-    query.adapter.is_stream_output_supported = AsyncMock(return_value=is_stream)
-
-    session = Mock()
-    session.using_conversation = Mock()
-    session.using_conversation.uuid = 'test-uuid'
-    session.launcher_type = Mock()
-    session.launcher_type.value = 'person'
-    session.launcher_id = '12345'
-    query.session = session
-
-    query.user_message = Mock()
-    query.user_message.content = 'hi'
-    query.variables = {}
-    return query
-
-
-def make_http_session_mock(response_bytes: bytes, status: int = 200):
-    """Mock httpclient.get_session() returning a session whose post() yields response_bytes."""
-    mock_response = make_mock_response([response_bytes], status=status)
-    mock_response.status = status
-
-    mock_cm = AsyncMock()
-    mock_cm.__aenter__ = AsyncMock(return_value=mock_response)
-    mock_cm.__aexit__ = AsyncMock(return_value=False)
-
-    mock_session = Mock()
-    mock_session.post = Mock(return_value=mock_cm)
-    return mock_session
-
-
-@pytest.mark.asyncio
-async def test_call_webhook_nonstream_adapter_plain_json():
-    """Non-stream adapter + plain JSON → single Message with output_key value."""
-    runner = make_runner(output_key='response')
-    query = make_query(is_stream=False)
-    http_session = make_http_session_mock(json.dumps({'response': 'result text'}).encode())
-
-    with patch('langbot.pkg.provider.runners.n8nsvapi.httpclient.get_session', return_value=http_session):
-        results = []
-        async for msg in runner._call_webhook(query):
-            results.append(msg)
-
-    assert len(results) == 1
-    assert isinstance(results[0], provider_message.Message)
-    assert results[0].content == 'result text'
-
-
-@pytest.mark.asyncio
-async def test_call_webhook_stream_adapter_stream_format():
-    """Stream adapter + stream format → MessageChunks, last is_final."""
-    runner = make_runner()
-    query = make_query(is_stream=True)
-    data = b'{"type":"item","content":"hi"}{"type":"end"}'
-    http_session = make_http_session_mock(data)
-
-    with patch('langbot.pkg.provider.runners.n8nsvapi.httpclient.get_session', return_value=http_session):
-        results = []
-        async for msg in runner._call_webhook(query):
-            results.append(msg)
-
-    assert all(isinstance(r, provider_message.MessageChunk) for r in results)
-    assert results[-1].is_final is True
-    assert results[-1].content == 'hi'
-
-
-@pytest.mark.asyncio
-async def test_call_webhook_stream_adapter_plain_json():
-    """Stream adapter + plain JSON → single MessageChunk with is_final=True."""
-    runner = make_runner(output_key='response')
-    query = make_query(is_stream=True)
-    data = json.dumps({'response': 'fallback'}).encode()
-    http_session = make_http_session_mock(data)
-
-    with patch('langbot.pkg.provider.runners.n8nsvapi.httpclient.get_session', return_value=http_session):
-        results = []
-        async for msg in runner._call_webhook(query):
-            results.append(msg)
-
-    assert all(isinstance(r, provider_message.MessageChunk) for r in results)
-    assert results[-1].is_final is True
-    assert results[-1].content == 'fallback'
-
-
-@pytest.mark.asyncio
-async def test_call_webhook_nonstream_adapter_stream_format():
-    """Non-stream adapter + stream format → single Message with accumulated content."""
-    runner = make_runner()
-    query = make_query(is_stream=False)
-    data = b'{"type":"item","content":"foo"}{"type":"item","content":"bar"}{"type":"end"}'
-    http_session = make_http_session_mock(data)
-
-    with patch('langbot.pkg.provider.runners.n8nsvapi.httpclient.get_session', return_value=http_session):
-        results = []
-        async for msg in runner._call_webhook(query):
-            results.append(msg)
-
-    assert len(results) == 1
-    assert isinstance(results[0], provider_message.Message)
-    assert results[0].content == 'foobar'

uv.lock

@@ -186,20 +186,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/00/b7/e3bf5133d697a08128598c8d0abc5e16377b51465a33756de24fa7dee953/aiosqlite-0.22.1-py3-none-any.whl", hash = "sha256:21c002eb13823fad740196c5a2e9d8e62f6243bd9e7e4a1f87fb5e44ecb4fceb", size = 17405, upload-time = "2025-12-23T19:25:42.139Z" },
 ]
 
-[[package]]
-name = "alembic"
-version = "1.18.4"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "mako" },
-    { name = "sqlalchemy" },
-    { name = "typing-extensions" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/94/13/8b084e0f2efb0275a1d534838844926f798bd766566b1375174e2448cd31/alembic-1.18.4.tar.gz", hash = "sha256:cb6e1fd84b6174ab8dbb2329f86d631ba9559dd78df550b57804d607672cedbc", size = 2056725, upload-time = "2026-02-10T16:00:47.195Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/d2/29/6533c317b74f707ea28f8d633734dbda2119bbadfc61b2f3640ba835d0f7/alembic-1.18.4-py3-none-any.whl", hash = "sha256:a5ed4adcf6d8a4cb575f3d759f071b03cd6e5c7618eb796cb52497be25bfe19a", size = 263893, upload-time = "2026-02-10T16:00:49.997Z" },
-]
-
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -1846,7 +1832,7 @@ wheels = [
 
 [[package]]
 name = "langbot"
-version = "4.9.6"
+version = "4.9.5"
 source = { editable = "." }
 dependencies = [
     { name = "aiocqhttp" },
@@ -1854,7 +1840,6 @@ dependencies = [
     { name = "aiohttp" },
     { name = "aioshutil" },
     { name = "aiosqlite" },
-    { name = "alembic" },
     { name = "anthropic" },
     { name = "argon2-cffi" },
     { name = "async-lru" },
@@ -1934,7 +1919,6 @@ requires-dist = [
     { name = "aiohttp", specifier = ">=3.11.18" },
     { name = "aioshutil", specifier = ">=1.5" },
     { name = "aiosqlite", specifier = ">=0.21.0" },
-    { name = "alembic", specifier = ">=1.15.0" },
     { name = "anthropic", specifier = ">=0.51.0" },
     { name = "argon2-cffi", specifier = ">=23.1.0" },
     { name = "async-lru", specifier = ">=2.0.5" },
@@ -1953,7 +1937,7 @@ requires-dist = [
     { name = "ebooklib", specifier = ">=0.18" },
     { name = "gewechat-client", specifier = ">=0.1.5" },
     { name = "html2text", specifier = ">=2024.2.26" },
-    { name = "langbot-plugin", specifier = "==0.3.8" },
+    { name = "langbot-plugin", specifier = "==0.3.7" },
     { name = "langchain", specifier = ">=0.2.0" },
     { name = "langchain-text-splitters", specifier = ">=0.0.1" },
     { name = "lark-oapi", specifier = ">=1.4.15" },
@@ -2009,7 +1993,7 @@ dev = [
 
 [[package]]
 name = "langbot-plugin"
-version = "0.3.8"
+version = "0.3.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiofiles" },
@@ -2027,9 +2011,9 @@ dependencies = [
     { name = "watchdog" },
     { name = "websockets" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b8/d8/7c8ac9516e35d69ead3e934b408e48541f5772eb88fbed19cd216af4b6c2/langbot_plugin-0.3.8.tar.gz", hash = "sha256:e8e420c3b2f167c9635e3e0af46fb452895be9d68ec05bf112ac5f221c3316f3", size = 179803, upload-time = "2026-04-10T11:05:42.791Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/12/31/8dc7106cb65004a01e363308343c5a95e35f1722f26c87853e6e12c6fee1/langbot_plugin-0.3.7.tar.gz", hash = "sha256:bc0dea6b1c515d9fc8c3ab14af74bdf3e006d7e20c097b6cb5034f5af4a73cc9", size = 179764, upload-time = "2026-04-03T09:43:17.343Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/81/63/4a61b67d4886522647e0b60063da155279b943a6b2e6cd004e29aedf67d1/langbot_plugin-0.3.8-py3-none-any.whl", hash = "sha256:2246f343b4735cb4004cf44462ffb47531222c21efeef163a4acd758ebbec2cd", size = 157354, upload-time = "2026-04-10T11:05:41.525Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/51/1982c199bd4efbfa3c327c95cca7e4ab502610251567000b348c72bca1b1/langbot_plugin-0.3.7-py3-none-any.whl", hash = "sha256:2e2b9e99163ceb14da28b8ce7c4cbc6990dea15684ec78976bc015e5378feea2", size = 157324, upload-time = "2026-04-03T09:43:15.782Z" },
 ]
 
 [[package]]
@@ -2425,18 +2409,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/6c/77/d7f491cbc05303ac6801651aabeb262d43f319288c1ea96c66b1d2692ff3/lxml-6.0.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:27220da5be049e936c3aca06f174e8827ca6445a4353a1995584311487fc4e3e", size = 3518768, upload-time = "2025-09-22T04:04:57.097Z" },
 ]
 
-[[package]]
-name = "mako"
-version = "1.3.10"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "markupsafe" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/9e/38/bd5b78a920a64d708fe6bc8e0a2c075e1389d53bef8413725c63ba041535/mako-1.3.10.tar.gz", hash = "sha256:99579a6f39583fa7e5630a28c3c1f440e4e97a414b80372649c0ce338da2ea28", size = 392474, upload-time = "2025-04-10T12:44:31.16Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/87/fb/99f81ac72ae23375f22b7afdb7642aba97c00a713c217124420147681a2f/mako-1.3.10-py3-none-any.whl", hash = "sha256:baef24a52fc4fc514a0887ac600f9f1cff3d82c61d4d700a1fa84d597b88db59", size = 78509, upload-time = "2025-04-10T12:50:53.297Z" },
-]
-
 [[package]]
 name = "markdown"
 version = "3.10.1"

web/index.html

@@ -1,13 +1,10 @@
-<!doctype html>
+<!DOCTYPE html>
 <html lang="zh">
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>LangBot</title>
-    <meta
-      name="description"
-      content="Production-grade platform for building agentic IM bots"
-    />
+    <meta name="description" content="Production-grade platform for building agentic IM bots" />
   </head>
   <body>
     <div id="root"></div>

web/package.json

@@ -46,14 +46,14 @@
     "@tailwindcss/postcss": "^4.1.5",
     "@tanstack/react-table": "^8.21.3",
     "@vitejs/plugin-react": "^6.0.1",
-    "axios": "^1.15.0",
+    "axios": "^1.13.5",
     "class-variance-authority": "^0.7.1",
     "clsx": "^2.1.1",
     "highlight.js": "^11.11.1",
     "i18next": "^25.1.2",
     "i18next-browser-languagedetector": "^8.1.0",
     "input-otp": "^1.4.2",
-    "lodash": "^4.18.0",
+    "lodash": "^4.17.23",
     "lucide-react": "^0.507.0",
     "postcss": "^8.5.3",
     "qrcode": "^1.5.4",
@@ -76,7 +76,7 @@
     "tailwind-merge": "^3.2.0",
     "tailwindcss": "^4.1.5",
     "uuidjs": "^5.1.0",
-    "vite": "^8.0.5",
+    "vite": "^8.0.3",
     "zod": "^3.24.4"
   },
   "devDependencies": {

web/pnpm-lock.yaml

@@ -88,10 +88,10 @@ dependencies:
     version: 8.21.3(react-dom@19.2.1)(react@19.2.1)
   '@vitejs/plugin-react':
     specifier: ^6.0.1
-    version: 6.0.1(vite@8.0.8)
+    version: 6.0.1(vite@8.0.3)
   axios:
-    specifier: ^1.15.0
-    version: 1.15.0
+    specifier: ^1.13.5
+    version: 1.13.5
   class-variance-authority:
     specifier: ^0.7.1
     version: 0.7.1
@@ -111,8 +111,8 @@ dependencies:
     specifier: ^1.4.2
     version: 1.4.2(react-dom@19.2.1)(react@19.2.1)
   lodash:
-    specifier: ^4.18.0
-    version: 4.18.1
+    specifier: ^4.17.23
+    version: 4.17.23
   lucide-react:
     specifier: ^0.507.0
     version: 0.507.0(react@19.2.1)
@@ -180,8 +180,8 @@ dependencies:
     specifier: ^5.1.0
     version: 5.1.0
   vite:
-    specifier: ^8.0.5
-    version: 8.0.8(@types/node@20.19.30)
+    specifier: ^8.0.3
+    version: 8.0.3(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1)(@types/node@20.19.30)
   zod:
     specifier: ^3.24.4
     version: 3.25.76
@@ -312,25 +312,25 @@ packages:
       tslib: 2.8.1
     dev: false
 
-  /@emnapi/core@1.9.2:
-    resolution: {integrity: sha512-UC+ZhH3XtczQYfOlu3lNEkdW/p4dsJ1r/bP7H8+rhao3TTTMO1ATq/4DdIi23XuGoFY+Cz0JmCbdVl0hz9jZcA==}
+  /@emnapi/core@1.8.1:
+    resolution: {integrity: sha512-AvT9QFpxK0Zd8J0jopedNm+w/2fIzvtPKPjqyw9jwvBaReTTqPBk9Hixaz7KbjimP+QNz605/XnjFcDAL2pqBg==}
     requiresBuild: true
     dependencies:
-      '@emnapi/wasi-threads': 1.2.1
+      '@emnapi/wasi-threads': 1.1.0
       tslib: 2.8.1
     dev: false
     optional: true
 
-  /@emnapi/runtime@1.9.2:
-    resolution: {integrity: sha512-3U4+MIWHImeyu1wnmVygh5WlgfYDtyf0k8AbLhMFxOipihf6nrWC4syIm/SwEeec0mNSafiiNnMJwbza/Is6Lw==}
+  /@emnapi/runtime@1.8.1:
+    resolution: {integrity: sha512-mehfKSMWjjNol8659Z8KxEMrdSJDDot5SXMq00dM8BN4o+CLNXQ0xH2V7EchNHV4RmbZLmmPdEaXZc5H2FXmDg==}
     requiresBuild: true
     dependencies:
       tslib: 2.8.1
     dev: false
     optional: true
 
-  /@emnapi/wasi-threads@1.2.1:
-    resolution: {integrity: sha512-uTII7OYF+/Mes/MrcIOYp5yOtSMLBWSIoLPpcgwipoiKbli6k322tcoFsxoIIxPDqW01SQGAgko4EzZi2BNv2w==}
+  /@emnapi/wasi-threads@1.1.0:
+    resolution: {integrity: sha512-WI0DdZ8xFSbgMjR1sFsKABJ/C5OnRrjT06JXbZKexJGrDuPTzZdDYfFlsgcCXCyf+suG5QU2e/y1Wo2V/OapLQ==}
     requiresBuild: true
     dependencies:
       tslib: 2.8.1
@@ -502,21 +502,21 @@ packages:
       '@jridgewell/sourcemap-codec': 1.5.5
     dev: false
 
-  /@napi-rs/wasm-runtime@1.1.4(@emnapi/core@1.9.2)(@emnapi/runtime@1.9.2):
-    resolution: {integrity: sha512-3NQNNgA1YSlJb/kMH1ildASP9HW7/7kYnRI2szWJaofaS1hWmbGI4H+d3+22aGzXXN9IJ+n+GiFVcGipJP18ow==}
+  /@napi-rs/wasm-runtime@1.1.2(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1):
+    resolution: {integrity: sha512-sNXv5oLJ7ob93xkZ1XnxisYhGYXfaG9f65/ZgYuAu3qt7b3NadcOEhLvx28hv31PgX8SZJRYrAIPQilQmFpLVw==}
     requiresBuild: true
     peerDependencies:
       '@emnapi/core': ^1.7.1
       '@emnapi/runtime': ^1.7.1
     dependencies:
-      '@emnapi/core': 1.9.2
-      '@emnapi/runtime': 1.9.2
+      '@emnapi/core': 1.8.1
+      '@emnapi/runtime': 1.8.1
       '@tybys/wasm-util': 0.10.1
     dev: false
     optional: true
 
-  /@oxc-project/types@0.124.0:
-    resolution: {integrity: sha512-VBFWMTBvHxS11Z5Lvlr3IWgrwhMTXV+Md+EQF0Xf60+wAdsGFTBx7X7K/hP4pi8N7dcm1RvcHwDxZ16Qx8keUg==}
+  /@oxc-project/types@0.122.0:
+    resolution: {integrity: sha512-oLAl5kBpV4w69UtFZ9xqcmTi+GENWOcPF7FCrczTiBbmC0ibXxCwyvZGbO39rCVEuLGAZM84DH0pUIyyv/YJzA==}
     dev: false
 
   /@pkgr/core@0.2.9:
@@ -1562,8 +1562,8 @@ packages:
     resolution: {integrity: sha512-HPwpGIzkl28mWyZqG52jiqDJ12waP11Pa1lGoiyUkIEuMLBP0oeK/C89esbXrxsky5we7dfd8U58nm0SgAWpVw==}
     dev: false
 
-  /@rolldown/binding-android-arm64@1.0.0-rc.15:
-    resolution: {integrity: sha512-YYe6aWruPZDtHNpwu7+qAHEMbQ/yRl6atqb/AhznLTnD3UY99Q1jE7ihLSahNWkF4EqRPVC4SiR4O0UkLK02tA==}
+  /@rolldown/binding-android-arm64@1.0.0-rc.12:
+    resolution: {integrity: sha512-pv1y2Fv0JybcykuiiD3qBOBdz6RteYojRFY1d+b95WVuzx211CRh+ytI/+9iVyWQ6koTh5dawe4S/yRfOFjgaA==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [arm64]
     os: [android]
@@ -1571,8 +1571,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-darwin-arm64@1.0.0-rc.15:
-    resolution: {integrity: sha512-oArR/ig8wNTPYsXL+Mzhs0oxhxfuHRfG7Ikw7jXsw8mYOtk71W0OkF2VEVh699pdmzjPQsTjlD1JIOoHkLP1Fg==}
+  /@rolldown/binding-darwin-arm64@1.0.0-rc.12:
+    resolution: {integrity: sha512-cFYr6zTG/3PXXF3pUO+umXxt1wkRK/0AYT8lDwuqvRC+LuKYWSAQAQZjCWDQpAH172ZV6ieYrNnFzVVcnSflAg==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [arm64]
     os: [darwin]
@@ -1580,8 +1580,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-darwin-x64@1.0.0-rc.15:
-    resolution: {integrity: sha512-YzeVqOqjPYvUbJSWJ4EDL8ahbmsIXQpgL3JVipmN+MX0XnXMeWomLN3Fb+nwCmP/jfyqte5I3XRSm7OfQrbyxw==}
+  /@rolldown/binding-darwin-x64@1.0.0-rc.12:
+    resolution: {integrity: sha512-ZCsYknnHzeXYps0lGBz8JrF37GpE9bFVefrlmDrAQhOEi4IOIlcoU1+FwHEtyXGx2VkYAvhu7dyBf75EJQffBw==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [x64]
     os: [darwin]
@@ -1589,8 +1589,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-freebsd-x64@1.0.0-rc.15:
-    resolution: {integrity: sha512-9Erhx956jeQ0nNTyif1+QWAXDRD38ZNjr//bSHrt6wDwB+QkAfl2q6Mn1k6OBPerznjRmbM10lgRb1Pli4xZPw==}
+  /@rolldown/binding-freebsd-x64@1.0.0-rc.12:
+    resolution: {integrity: sha512-dMLeprcVsyJsKolRXyoTH3NL6qtsT0Y2xeuEA8WQJquWFXkEC4bcu1rLZZSnZRMtAqwtrF/Ib9Ddtpa/Gkge9Q==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [x64]
     os: [freebsd]
@@ -1598,8 +1598,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-linux-arm-gnueabihf@1.0.0-rc.15:
-    resolution: {integrity: sha512-cVwk0w8QbZJGTnP/AHQBs5yNwmpgGYStL88t4UIaqcvYJWBfS0s3oqVLZPwsPU6M0zlW4GqjP0Zq5MnAGwFeGA==}
+  /@rolldown/binding-linux-arm-gnueabihf@1.0.0-rc.12:
+    resolution: {integrity: sha512-YqWjAgGC/9M1lz3GR1r1rP79nMgo3mQiiA+Hfo+pvKFK1fAJ1bCi0ZQVh8noOqNacuY1qIcfyVfP6HoyBRZ85Q==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [arm]
     os: [linux]
@@ -1607,8 +1607,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-linux-arm64-gnu@1.0.0-rc.15:
-    resolution: {integrity: sha512-eBZ/u8iAK9SoHGanqe/jrPnY0JvBN6iXbVOsbO38mbz+ZJsaobExAm1Iu+rxa4S1l2FjG0qEZn4Rc6X8n+9M+w==}
+  /@rolldown/binding-linux-arm64-gnu@1.0.0-rc.12:
+    resolution: {integrity: sha512-/I5AS4cIroLpslsmzXfwbe5OmWvSsrFuEw3mwvbQ1kDxJ822hFHIx+vsN/TAzNVyepI/j/GSzrtCIwQPeKCLIg==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [arm64]
     os: [linux]
@@ -1616,8 +1616,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-linux-arm64-musl@1.0.0-rc.15:
-    resolution: {integrity: sha512-ZvRYMGrAklV9PEkgt4LQM6MjQX2P58HPAuecwYObY2DhS2t35R0I810bKi0wmaYORt6m/2Sm+Z+nFgb0WhXNcQ==}
+  /@rolldown/binding-linux-arm64-musl@1.0.0-rc.12:
+    resolution: {integrity: sha512-V6/wZztnBqlx5hJQqNWwFdxIKN0m38p8Jas+VoSfgH54HSj9tKTt1dZvG6JRHcjh6D7TvrJPWFGaY9UBVOaWPw==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [arm64]
     os: [linux]
@@ -1625,8 +1625,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-linux-ppc64-gnu@1.0.0-rc.15:
-    resolution: {integrity: sha512-VDpgGBzgfg5hLg+uBpCLoFG5kVvEyafmfxGUV0UHLcL5irxAK7PKNeC2MwClgk6ZAiNhmo9FLhRYgvMmedLtnQ==}
+  /@rolldown/binding-linux-ppc64-gnu@1.0.0-rc.12:
+    resolution: {integrity: sha512-AP3E9BpcUYliZCxa3w5Kwj9OtEVDYK6sVoUzy4vTOJsjPOgdaJZKFmN4oOlX0Wp0RPV2ETfmIra9x1xuayFB7g==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [ppc64]
     os: [linux]
@@ -1634,8 +1634,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-linux-s390x-gnu@1.0.0-rc.15:
-    resolution: {integrity: sha512-y1uXY3qQWCzcPgRJATPSOUP4tCemh4uBdY7e3EZbVwCJTY3gLJWnQABgeUetvED+bt1FQ01OeZwvhLS2bpNrAQ==}
+  /@rolldown/binding-linux-s390x-gnu@1.0.0-rc.12:
+    resolution: {integrity: sha512-nWwpvUSPkoFmZo0kQazZYOrT7J5DGOJ/+QHHzjvNlooDZED8oH82Yg67HvehPPLAg5fUff7TfWFHQS8IV1n3og==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [s390x]
     os: [linux]
@@ -1643,8 +1643,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-linux-x64-gnu@1.0.0-rc.15:
-    resolution: {integrity: sha512-023bTPBod7J3Y/4fzAN6QtpkSABR0rigtrwaP+qSEabUh5zf6ELr9Nc7GujaROuPY3uwdSIXWrvhn1KxOvurWA==}
+  /@rolldown/binding-linux-x64-gnu@1.0.0-rc.12:
+    resolution: {integrity: sha512-RNrafz5bcwRy+O9e6P8Z/OCAJW/A+qtBczIqVYwTs14pf4iV1/+eKEjdOUta93q2TsT/FI0XYDP3TCky38LMAg==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [x64]
     os: [linux]
@@ -1652,8 +1652,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-linux-x64-musl@1.0.0-rc.15:
-    resolution: {integrity: sha512-witB2O0/hU4CgfOOKUoeFgQ4GktPi1eEbAhaLAIpgD6+ZnhcPkUtPsoKKHRzmOoWPZue46IThdSgdo4XneOLYw==}
+  /@rolldown/binding-linux-x64-musl@1.0.0-rc.12:
+    resolution: {integrity: sha512-Jpw/0iwoKWx3LJ2rc1yjFrj+T7iHZn2JDg1Yny1ma0luviFS4mhAIcd1LFNxK3EYu3DHWCps0ydXQ5i/rrJ2ig==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [x64]
     os: [linux]
@@ -1661,8 +1661,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-openharmony-arm64@1.0.0-rc.15:
-    resolution: {integrity: sha512-UCL68NJ0Ud5zRipXZE9dF5PmirzJE4E4BCIOOssEnM7wLDsxjc6Qb0sGDxTNRTP53I6MZpygyCpY8Aa8sPfKPg==}
+  /@rolldown/binding-openharmony-arm64@1.0.0-rc.12:
+    resolution: {integrity: sha512-vRugONE4yMfVn0+7lUKdKvN4D5YusEiPilaoO2sgUWpCvrncvWgPMzK00ZFFJuiPgLwgFNP5eSiUlv2tfc+lpA==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [arm64]
     os: [openharmony]
@@ -1670,20 +1670,21 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-wasm32-wasi@1.0.0-rc.15:
-    resolution: {integrity: sha512-ApLruZq/ig+nhaE7OJm4lDjayUnOHVUa77zGeqnqZ9pn0ovdVbbNPerVibLXDmWeUZXjIYIT8V3xkT58Rm9u5Q==}
+  /@rolldown/binding-wasm32-wasi@1.0.0-rc.12(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1):
+    resolution: {integrity: sha512-ykGiLr/6kkiHc0XnBfmFJuCjr5ZYKKofkx+chJWDjitX+KsJuAmrzWhwyOMSHzPhzOHOy7u9HlFoa5MoAOJ/Zg==}
     engines: {node: '>=14.0.0'}
     cpu: [wasm32]
     requiresBuild: true
     dependencies:
-      '@emnapi/core': 1.9.2
-      '@emnapi/runtime': 1.9.2
-      '@napi-rs/wasm-runtime': 1.1.4(@emnapi/core@1.9.2)(@emnapi/runtime@1.9.2)
+      '@napi-rs/wasm-runtime': 1.1.2(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1)
+    transitivePeerDependencies:
+      - '@emnapi/core'
+      - '@emnapi/runtime'
     dev: false
     optional: true
 
-  /@rolldown/binding-win32-arm64-msvc@1.0.0-rc.15:
-    resolution: {integrity: sha512-KmoUoU7HnN+Si5YWJigfTws1jz1bKBYDQKdbLspz0UaqjjFkddHsqorgiW1mxcAj88lYUE6NC/zJNwT+SloqtA==}
+  /@rolldown/binding-win32-arm64-msvc@1.0.0-rc.12:
+    resolution: {integrity: sha512-5eOND4duWkwx1AzCxadcOrNeighiLwMInEADT0YM7xeEOOFcovWZCq8dadXgcRHSf3Ulh1kFo/qvzoFiCLOL1Q==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [arm64]
     os: [win32]
@@ -1691,8 +1692,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-win32-x64-msvc@1.0.0-rc.15:
-    resolution: {integrity: sha512-3P2A8L+x75qavWLe/Dll3EYBJLQmtkJN8rfh+U/eR3MqMgL/h98PhYI+JFfXuDPgPeCB7iZAKiqii5vqOvnA0g==}
+  /@rolldown/binding-win32-x64-msvc@1.0.0-rc.12:
+    resolution: {integrity: sha512-PyqoipaswDLAZtot351MLhrlrh6lcZPo2LSYE+VDxbVk24LVKAGOuE4hb8xZQmrPAuEtTZW8E6D2zc5EUZX4Lw==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [x64]
     os: [win32]
@@ -1700,8 +1701,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/pluginutils@1.0.0-rc.15:
-    resolution: {integrity: sha512-UromN0peaE53IaBRe9W7CjrZgXl90fqGpK+mIZbA3qSTeYqg3pqpROBdIPvOG3F5ereDHNwoHBI2e50n1BDr1g==}
+  /@rolldown/pluginutils@1.0.0-rc.12:
+    resolution: {integrity: sha512-HHMwmarRKvoFsJorqYlFeFRzXZqCt2ETQlEDOb9aqssrnVBB1/+xgTGtuTrIk5vzLNX1MjMtTf7W9z3tsSbrxw==}
     dev: false
 
   /@rolldown/pluginutils@1.0.0-rc.7:
@@ -2155,7 +2156,7 @@ packages:
     resolution: {integrity: sha512-WmoN8qaIAo7WTYWbAZuG8PYEhn5fkz7dZrqTBZ7dtt//lL2Gwms1IcnQ5yHqjDfX8Ft5j4YzDM23f87zBfDe9g==}
     dev: false
 
-  /@vitejs/plugin-react@6.0.1(vite@8.0.8):
+  /@vitejs/plugin-react@6.0.1(vite@8.0.3):
     resolution: {integrity: sha512-l9X/E3cDb+xY3SWzlG1MOGt2usfEHGMNIaegaUGFsLkb3RCn/k8/TOXBcab+OndDI4TBtktT8/9BwwW8Vi9KUQ==}
     engines: {node: ^20.19.0 || >=22.12.0}
     peerDependencies:
@@ -2169,7 +2170,7 @@ packages:
         optional: true
     dependencies:
       '@rolldown/pluginutils': 1.0.0-rc.7
-      vite: 8.0.8(@types/node@20.19.30)
+      vite: 8.0.3(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1)(@types/node@20.19.30)
     dev: false
 
   /acorn-jsx@5.3.2(acorn@8.15.0):
@@ -2328,12 +2329,12 @@ packages:
       possible-typed-array-names: 1.1.0
     dev: true
 
-  /axios@1.15.0:
-    resolution: {integrity: sha512-wWyJDlAatxk30ZJer+GeCWS209sA42X+N5jU2jy6oHTp7ufw8uzUTVFBX9+wTfAlhiJXGS0Bq7X6efruWjuK9Q==}
+  /axios@1.13.5:
+    resolution: {integrity: sha512-cz4ur7Vb0xS4/KUN0tPWe44eqxrIu31me+fbang3ijiNscE129POzipJJA6zniq2C/Z6sJCjMimjS8Lc/GAs8Q==}
     dependencies:
       follow-redirects: 1.15.11
       form-data: 4.0.5
-      proxy-from-env: 2.1.0
+      proxy-from-env: 1.1.0
     transitivePeerDependencies:
       - debug
     dev: false
@@ -4147,8 +4148,8 @@ packages:
     resolution: {integrity: sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ==}
     dev: true
 
-  /lodash@4.18.1:
-    resolution: {integrity: sha512-dMInicTPVE8d1e5otfwmmjlxkZoUpiVLwyeTdUsi/Caj/gfzzblBcCE5sRHV/AsjuCmxWrte2TNGSYuCeCq+0Q==}
+  /lodash@4.17.23:
+    resolution: {integrity: sha512-LgVTMpQtIopCi79SJeDiP0TfWi5CNEc/L/aRdTh3yIvmZXTnheWpKjSZhnvMl8iXbC1tFg9gdHHDMLoV7CnG+w==}
     dev: false
 
   /log-update@6.1.0:
@@ -4957,9 +4958,8 @@ packages:
     resolution: {integrity: sha512-TwEZ+X+yCJmYfL7TPUOcvBZ4QfoT5YenQiJuX//0th53DE6w0xxLEtfK3iyryQFddXuvkIk51EEgrJQ0WJkOmQ==}
     dev: false
 
-  /proxy-from-env@2.1.0:
-    resolution: {integrity: sha512-cJ+oHTW1VAEa8cJslgmUZrc+sjRKgAKl3Zyse6+PV38hZe/V6Z14TbCuXcan9F9ghlz4QrFr2c92TNF82UkYHA==}
-    engines: {node: '>=10'}
+  /proxy-from-env@1.1.0:
+    resolution: {integrity: sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg==}
     dev: false
 
   /punycode@2.3.1:
@@ -5200,7 +5200,7 @@ packages:
     dependencies:
       clsx: 2.1.1
       eventemitter3: 4.0.7
-      lodash: 4.18.1
+      lodash: 4.17.23
       react: 19.2.1
       react-dom: 19.2.1(react@19.2.1)
       react-is: 18.3.1
@@ -5372,29 +5372,32 @@ packages:
     resolution: {integrity: sha512-q1b3N5QkRUWUl7iyylaaj3kOpIT0N2i9MqIEQXP73GVsN9cw3fdx8X63cEmWhJGi2PPCF23Ijp7ktmd39rawIA==}
     dev: true
 
-  /rolldown@1.0.0-rc.15:
-    resolution: {integrity: sha512-Ff31guA5zT6WjnGp0SXw76X6hzGRk/OQq2hE+1lcDe+lJdHSgnSX6nK3erbONHyCbpSj9a9E+uX/OvytZoWp2g==}
+  /rolldown@1.0.0-rc.12(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1):
+    resolution: {integrity: sha512-yP4USLIMYrwpPHEFB5JGH1uxhcslv6/hL0OyvTuY+3qlOSJvZ7ntYnoWpehBxufkgN0cvXxppuTu5hHa/zPh+A==}
     engines: {node: ^20.19.0 || >=22.12.0}
     hasBin: true
     dependencies:
-      '@oxc-project/types': 0.124.0
-      '@rolldown/pluginutils': 1.0.0-rc.15
+      '@oxc-project/types': 0.122.0
+      '@rolldown/pluginutils': 1.0.0-rc.12
     optionalDependencies:
-      '@rolldown/binding-android-arm64': 1.0.0-rc.15
-      '@rolldown/binding-darwin-arm64': 1.0.0-rc.15
-      '@rolldown/binding-darwin-x64': 1.0.0-rc.15
-      '@rolldown/binding-freebsd-x64': 1.0.0-rc.15
-      '@rolldown/binding-linux-arm-gnueabihf': 1.0.0-rc.15
-      '@rolldown/binding-linux-arm64-gnu': 1.0.0-rc.15
-      '@rolldown/binding-linux-arm64-musl': 1.0.0-rc.15
-      '@rolldown/binding-linux-ppc64-gnu': 1.0.0-rc.15
-      '@rolldown/binding-linux-s390x-gnu': 1.0.0-rc.15
-      '@rolldown/binding-linux-x64-gnu': 1.0.0-rc.15
-      '@rolldown/binding-linux-x64-musl': 1.0.0-rc.15
-      '@rolldown/binding-openharmony-arm64': 1.0.0-rc.15
-      '@rolldown/binding-wasm32-wasi': 1.0.0-rc.15
-      '@rolldown/binding-win32-arm64-msvc': 1.0.0-rc.15
-      '@rolldown/binding-win32-x64-msvc': 1.0.0-rc.15
+      '@rolldown/binding-android-arm64': 1.0.0-rc.12
+      '@rolldown/binding-darwin-arm64': 1.0.0-rc.12
+      '@rolldown/binding-darwin-x64': 1.0.0-rc.12
+      '@rolldown/binding-freebsd-x64': 1.0.0-rc.12
+      '@rolldown/binding-linux-arm-gnueabihf': 1.0.0-rc.12
+      '@rolldown/binding-linux-arm64-gnu': 1.0.0-rc.12
+      '@rolldown/binding-linux-arm64-musl': 1.0.0-rc.12
+      '@rolldown/binding-linux-ppc64-gnu': 1.0.0-rc.12
+      '@rolldown/binding-linux-s390x-gnu': 1.0.0-rc.12
+      '@rolldown/binding-linux-x64-gnu': 1.0.0-rc.12
+      '@rolldown/binding-linux-x64-musl': 1.0.0-rc.12
+      '@rolldown/binding-openharmony-arm64': 1.0.0-rc.12
+      '@rolldown/binding-wasm32-wasi': 1.0.0-rc.12(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1)
+      '@rolldown/binding-win32-arm64-msvc': 1.0.0-rc.12
+      '@rolldown/binding-win32-x64-msvc': 1.0.0-rc.12
+    transitivePeerDependencies:
+      - '@emnapi/core'
+      - '@emnapi/runtime'
     dev: false
 
   /safe-array-concat@1.1.3:
@@ -6007,14 +6010,14 @@ packages:
       d3-timer: 3.0.1
     dev: false
 
-  /vite@8.0.8(@types/node@20.19.30):
-    resolution: {integrity: sha512-dbU7/iLVa8KZALJyLOBOQ88nOXtNG8vxKuOT4I2mD+Ya70KPceF4IAmDsmU0h1Qsn5bPrvsY9HJstCRh3hG6Uw==}
+  /vite@8.0.3(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1)(@types/node@20.19.30):
+    resolution: {integrity: sha512-B9ifbFudT1TFhfltfaIPgjo9Z3mDynBTJSUYxTjOQruf/zHH+ezCQKcoqO+h7a9Pw9Nm/OtlXAiGT1axBgwqrQ==}
     engines: {node: ^20.19.0 || >=22.12.0}
     hasBin: true
     peerDependencies:
       '@types/node': ^20.19.0 || >=22.12.0
       '@vitejs/devtools': ^0.1.0
-      esbuild: ^0.27.0 || ^0.28.0
+      esbuild: ^0.27.0
       jiti: '>=1.21.0'
       less: ^4.0.0
       sass: ^1.70.0
@@ -6054,10 +6057,13 @@ packages:
       lightningcss: 1.32.0
       picomatch: 4.0.4
       postcss: 8.5.8
-      rolldown: 1.0.0-rc.15
+      rolldown: 1.0.0-rc.12(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1)
       tinyglobby: 0.2.15
     optionalDependencies:
       fsevents: 2.3.3
+    transitivePeerDependencies:
+      - '@emnapi/core'
+      - '@emnapi/runtime'
     dev: false
 
   /void-elements@3.1.0:

web/scripts/check-i18n.mjs

@@ -1,145 +0,0 @@
-#!/usr/bin/env node
-/**
- * Check that all i18n locale files have the same keys as en-US.ts (the reference).
- * Reports missing keys (present in en-US but absent in the locale) and
- * extra keys (present in the locale but absent in en-US).
- * Exits with code 1 if any mismatch is found.
- *
- * Keys are extracted using a line-by-line parser that handles the known format
- * of the locale files (no eval or dynamic code execution is used).
- */
-
-import { readFileSync, readdirSync } from 'fs';
-import { resolve, dirname, join } from 'path';
-import { fileURLToPath } from 'url';
-
-const __dirname = dirname(fileURLToPath(import.meta.url));
-const LOCALES_DIR = resolve(__dirname, '../src/i18n/locales');
-const REFERENCE = 'en-US.ts';
-
-/**
- * Extract all dot-notation leaf keys from a TypeScript locale file.
- *
- * The expected file format is:
- *   const <varName> = {
- *     key: 'value',
- *     nested: {
- *       subKey: 'value',
- *     },
- *   };
- *   export default <varName>;
- *
- * The parser tracks indentation depth to build dot-separated key paths and
- * never executes the file content.
- */
-function extractKeys(filePath) {
-  let src = readFileSync(filePath, 'utf8');
-
-  // Remove UTF-8 BOM if present
-  if (src.charCodeAt(0) === 0xfeff) {
-    src = src.slice(1);
-  }
-
-  const lines = src.split('\n');
-  const keys = [];
-  // Stack of { key, indent } pairs representing the current nesting path
-  const stack = [];
-
-  // Matches an object key at the start of a line (identifier or quoted string)
-  // Captures: [indent, keyName, hasOpenBrace]
-  const KEY_RE = /^(\s+)([\w]+)\s*:/;
-  const OPEN_BRACE_RE = /\{\s*$/;
-  const CLOSE_BRACE_RE = /^\s*\},?\s*$/;
-
-  for (const line of lines) {
-    if (CLOSE_BRACE_RE.test(line)) {
-      // Pop the stack when we encounter a closing brace line
-      const lineIndent = line.match(/^(\s*)/)[1].length;
-      while (stack.length > 0 && stack[stack.length - 1].indent >= lineIndent) {
-        stack.pop();
-      }
-      continue;
-    }
-
-    const m = line.match(KEY_RE);
-    if (!m) continue;
-
-    const indent = m[1].length;
-    const keyName = m[2];
-
-    // Pop stack entries that are at the same or deeper indent level
-    while (stack.length > 0 && stack[stack.length - 1].indent >= indent) {
-      stack.pop();
-    }
-
-    const prefix = stack.map((e) => e.key).join('.');
-    const fullKey = prefix ? `${prefix}.${keyName}` : keyName;
-
-    if (OPEN_BRACE_RE.test(line)) {
-      // This is a parent (nested object) key — push onto stack, don't record as leaf
-      stack.push({ key: keyName, indent });
-    } else {
-      // This is a leaf key
-      keys.push(fullKey);
-    }
-  }
-
-  return keys;
-}
-
-function main() {
-  const files = readdirSync(LOCALES_DIR).filter((f) => f.endsWith('.ts'));
-
-  if (!files.includes(REFERENCE)) {
-    console.error(`Reference file ${REFERENCE} not found in ${LOCALES_DIR}`);
-    process.exit(1);
-  }
-
-  const refKeys = new Set(extractKeys(join(LOCALES_DIR, REFERENCE)));
-  let hasError = false;
-
-  for (const file of files) {
-    if (file === REFERENCE) continue;
-
-    const locale = file.replace('.ts', '');
-    let localeKeys;
-    try {
-      localeKeys = new Set(extractKeys(join(LOCALES_DIR, file)));
-    } catch (e) {
-      console.error(`[${locale}] Failed to parse file: ${e.message}`);
-      hasError = true;
-      continue;
-    }
-
-    const missing = [...refKeys].filter((k) => !localeKeys.has(k));
-    const extra = [...localeKeys].filter((k) => !refKeys.has(k));
-
-    if (missing.length === 0 && extra.length === 0) {
-      console.log(`[${locale}] ✅ All keys match.`);
-    } else {
-      hasError = true;
-      console.log(`\n[${locale}] ❌ Key mismatch detected:`);
-      if (missing.length > 0) {
-        console.log(`  Missing keys (in en-US but not in ${locale}):`);
-        for (const k of missing) {
-          console.log(`    - ${k}`);
-        }
-      }
-      if (extra.length > 0) {
-        console.log(`  Extra keys (in ${locale} but not in en-US):`);
-        for (const k of extra) {
-          console.log(`    + ${k}`);
-        }
-      }
-    }
-  }
-
-  if (hasError) {
-    console.log('\n❌ i18n key check failed. Please fix the mismatches above.');
-    process.exit(1);
-  } else {
-    console.log('\n✅ All i18n locale files have matching keys.');
-  }
-}
-
-main();

web/src/app/global.css

@@ -1,5 +1,5 @@
-@import 'tailwindcss';
-@import 'tw-animate-css';
+@import "tailwindcss";
+@import "tw-animate-css";
 :root {
   /* 适用于 Firefox 的滚动条 */
   scrollbar-color: rgba(0, 0, 0, 0.2) transparent; /* 滑块颜色 + 轨道颜色 */
@@ -74,6 +74,8 @@
   }
 }
 
+
+
 @custom-variant dark (&:is(.dark *));
 
 @theme inline {

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

@@ -10,15 +10,7 @@ import { useTranslation } from 'react-i18next';
 import { httpClient } from '@/app/infra/http/HttpClient';
 import { ScrollArea } from '@/components/ui/scroll-area';
 import { cn } from '@/lib/utils';
-import {
-  Ban,
-  Bot,
-  Copy,
-  Check,
-  Workflow,
-  ThumbsUp,
-  ThumbsDown,
-} from 'lucide-react';
+import { Ban, Bot, Copy, Check, Workflow, UserCheck, Send } from 'lucide-react';
 import {
   MessageChainComponent,
   Plain,
@@ -62,12 +54,6 @@ interface SessionMessage {
   role?: string | null;
 }
 
-interface SessionFeedback {
-  feedback_type: number; // 1=like, 2=dislike
-  feedback_content?: string | null;
-  stream_id?: string | null;
-}
-
 export interface BotSessionMonitorHandle {
   refreshSessions: () => Promise<void>;
 }
@@ -89,11 +75,18 @@ const BotSessionMonitor = forwardRef<
   const [loadingSessions, setLoadingSessions] = useState(false);
   const [loadingMessages, setLoadingMessages] = useState(false);
   const [copiedUserId, setCopiedUserId] = useState(false);
-  const [feedbackMap, setFeedbackMap] = useState<
-    Record<string, SessionFeedback>
-  >({});
   const messagesContainerRef = useRef<HTMLDivElement>(null);
 
+  // Human takeover state
+  const [isTakenOver, setIsTakenOver] = useState(false);
+  const [takeoverLoading, setTakeoverLoading] = useState(false);
+  const [operatorMessage, setOperatorMessage] = useState('');
+  const [sendingMessage, setSendingMessage] = useState(false);
+  // Track which sessions are taken over for showing badges in the list
+  const [takenOverSessions, setTakenOverSessions] = useState<Set<string>>(
+    new Set(),
+  );
+
   const parseSessionType = (sessionId: string): string | null => {
     const idx = sessionId.indexOf('_');
     if (idx === -1) return null;
@@ -126,6 +119,24 @@ const BotSessionMonitor = forwardRef<
     }
   }, [botId]);
 
+  // Load active takeover sessions to know which ones show a badge
+  const loadTakeoverStatus = useCallback(async () => {
+    try {
+      const response = await httpClient.getHumanTakeoverSessions({
+        botUuid: botId,
+      });
+      const activeIds = new Set<string>();
+      for (const session of response.sessions ?? []) {
+        if (session.status === 'active') {
+          activeIds.add(session.session_id);
+        }
+      }
+      setTakenOverSessions(activeIds);
+    } catch {
+      // Silently ignore — takeover feature may not be available
+    }
+  }, [botId]);
+
   useImperativeHandle(
     ref,
     () => ({
@@ -134,62 +145,61 @@ const BotSessionMonitor = forwardRef<
     [loadSessions],
   );
 
-  const loadMessages = useCallback(
+  const loadMessages = useCallback(async (sessionId: string) => {
+    setLoadingMessages(true);
+    try {
+      const response = await httpClient.getSessionMessages(sessionId);
+      const sorted = (response.messages ?? []).sort(
+        (a, b) =>
+          new Date(a.timestamp).getTime() - new Date(b.timestamp).getTime(),
+      );
+      setMessages(sorted);
+    } catch (error) {
+      console.error('Failed to load session messages:', error);
+    } finally {
+      setLoadingMessages(false);
+    }
+  }, []);
+
+  // Check takeover status for selected session
+  const checkTakeoverStatus = useCallback(
     async (sessionId: string) => {
-      setLoadingMessages(true);
       try {
-        const messagesRes = await httpClient.getSessionMessages(sessionId);
-        const sorted = (messagesRes.messages ?? []).sort(
-          (a, b) =>
-            new Date(a.timestamp).getTime() - new Date(b.timestamp).getTime(),
-        );
-        setMessages(sorted);
-
-        // Collect user message IDs for feedback matching
-        const userMsgIds = new Set(
-          sorted.filter((m) => !m.role || m.role === 'user').map((m) => m.id),
-        );
-
-        if (userMsgIds.size > 0) {
-          // Fetch feedback for this bot, then match by stream_id locally
-          const feedbackRes = await httpClient.get<{
-            feedback: SessionFeedback[];
-          }>(
-            `/api/v1/monitoring/feedback?botId=${encodeURIComponent(botId)}&limit=200`,
-          );
-
-          const map: Record<string, SessionFeedback> = {};
-          if (feedbackRes?.feedback) {
-            for (const fb of feedbackRes.feedback) {
-              if (fb.stream_id && userMsgIds.has(fb.stream_id)) {
-                map[fb.stream_id] = fb;
-              }
-            }
-          }
-          setFeedbackMap(map);
-        } else {
-          setFeedbackMap({});
-        }
-      } catch (error) {
-        console.error('Failed to load session messages:', error);
-      } finally {
-        setLoadingMessages(false);
+        const response =
+          await httpClient.getHumanTakeoverSessionDetail(sessionId);
+        const isActive =
+          response.found && response.session?.status === 'active';
+        setIsTakenOver(isActive);
+      } catch {
+        setIsTakenOver(false);
       }
     },
-    [botId],
+    [],
   );
 
   useEffect(() => {
     loadSessions();
-  }, [loadSessions]);
+    loadTakeoverStatus();
+  }, [loadSessions, loadTakeoverStatus]);
 
   useEffect(() => {
     if (selectedSessionId) {
       loadMessages(selectedSessionId);
+      checkTakeoverStatus(selectedSessionId);
     } else {
       setMessages([]);
+      setIsTakenOver(false);
     }
-  }, [selectedSessionId, loadMessages]);
+  }, [selectedSessionId, loadMessages, checkTakeoverStatus]);
+
+  // Auto-refresh messages when session is taken over (polling)
+  useEffect(() => {
+    if (!selectedSessionId || !isTakenOver) return;
+    const interval = setInterval(() => {
+      loadMessages(selectedSessionId);
+    }, 3000);
+    return () => clearInterval(interval);
+  }, [selectedSessionId, isTakenOver, loadMessages]);
 
   useEffect(() => {
     if (messages.length === 0) return;
@@ -206,6 +216,76 @@ const BotSessionMonitor = forwardRef<
     });
   }, [messages]);
 
+  const handleTakeover = async () => {
+    if (!selectedSessionId || !selectedSession) return;
+    if (!confirm(t('bots.sessionMonitor.takeoverConfirm'))) return;
+
+    setTakeoverLoading(true);
+    try {
+      await httpClient.takeoverSession(selectedSessionId, {
+        bot_uuid: botId,
+        platform: selectedSession.platform ?? undefined,
+        user_id: selectedSession.user_id ?? undefined,
+        user_name: selectedSession.user_name ?? undefined,
+      });
+      setIsTakenOver(true);
+      setTakenOverSessions((prev) => new Set(prev).add(selectedSessionId));
+    } catch (error) {
+      console.error('Takeover failed:', error);
+      alert(t('bots.sessionMonitor.takeoverFailed'));
+    } finally {
+      setTakeoverLoading(false);
+    }
+  };
+
+  const handleRelease = async () => {
+    if (!selectedSessionId) return;
+    if (!confirm(t('bots.sessionMonitor.releaseConfirm'))) return;
+
+    setTakeoverLoading(true);
+    try {
+      await httpClient.releaseSession(selectedSessionId);
+      setIsTakenOver(false);
+      setTakenOverSessions((prev) => {
+        const next = new Set(prev);
+        next.delete(selectedSessionId);
+        return next;
+      });
+    } catch (error) {
+      console.error('Release failed:', error);
+      alert(t('bots.sessionMonitor.releaseFailed'));
+    } finally {
+      setTakeoverLoading(false);
+    }
+  };
+
+  const handleSendMessage = async () => {
+    if (!selectedSessionId || !operatorMessage.trim()) return;
+
+    setSendingMessage(true);
+    try {
+      await httpClient.sendTakeoverMessage(
+        selectedSessionId,
+        operatorMessage.trim(),
+      );
+      setOperatorMessage('');
+      // Reload messages to show the sent one
+      await loadMessages(selectedSessionId);
+    } catch (error) {
+      console.error('Send message failed:', error);
+      alert(t('bots.sessionMonitor.sendFailed'));
+    } finally {
+      setSendingMessage(false);
+    }
+  };
+
+  const handleMessageKeyDown = (e: React.KeyboardEvent<HTMLInputElement>) => {
+    if (e.key === 'Enter' && !e.shiftKey) {
+      e.preventDefault();
+      handleSendMessage();
+    }
+  };
+
   const parseMessageChain = (content: string): MessageChainComponent[] => {
     try {
       const parsed = JSON.parse(content);
@@ -219,11 +299,16 @@ const BotSessionMonitor = forwardRef<
   };
 
   const isUserMessage = (msg: SessionMessage): boolean => {
+    if (msg.role === 'operator') return false;
     if (msg.role === 'assistant') return false;
     if (msg.role === 'user') return true;
     return !msg.runner_name;
   };
 
+  const isOperatorMessage = (msg: SessionMessage): boolean => {
+    return msg.role === 'operator';
+  };
+
   const renderMessageComponent = (
     component: MessageChainComponent,
     index: number,
@@ -289,7 +374,7 @@ const BotSessionMonitor = forwardRef<
               key={index}
               className="inline-flex items-center gap-1 text-muted-foreground text-xs"
             >
-              🎙 [Voice]
+              [Voice]
             </span>
           );
         }
@@ -323,7 +408,7 @@ const BotSessionMonitor = forwardRef<
         const file = component as MessageChainComponent & { name?: string };
         return (
           <span key={index} className="text-muted-foreground text-xs">
-            📎 {file.name || 'File'}
+            [{file.name || 'File'}]
           </span>
         );
       }
@@ -383,6 +468,22 @@ const BotSessionMonitor = forwardRef<
     (s) => s.session_id === selectedSessionId,
   );
 
+  const getMessageRoleLabel = (msg: SessionMessage): string => {
+    if (isOperatorMessage(msg)) {
+      return t('bots.sessionMonitor.operatorMessage', {
+        defaultValue: 'Operator',
+      });
+    }
+    if (isUserMessage(msg)) {
+      return t('bots.sessionMonitor.userMessage', {
+        defaultValue: 'User',
+      });
+    }
+    return t('bots.sessionMonitor.botMessage', {
+      defaultValue: 'Assistant',
+    });
+  };
+
   return (
     <div className="flex flex-col md:flex-row h-full min-h-0 rounded-lg border overflow-hidden">
       {/* Left Panel: Session List */}
@@ -401,6 +502,9 @@ const BotSessionMonitor = forwardRef<
             <div className="p-1.5">
               {sessions.map((session) => {
                 const isSelected = selectedSessionId === session.session_id;
+                const sessionTakenOver = takenOverSessions.has(
+                  session.session_id,
+                );
                 return (
                   <button
                     key={session.session_id}
@@ -437,7 +541,12 @@ const BotSessionMonitor = forwardRef<
                           {abbreviateId(session.user_id)}
                         </span>
                       )}
-                      {session.is_active && (
+                      {sessionTakenOver && (
+                        <span className="flex items-center gap-0.5 text-orange-600 dark:text-orange-400">
+                          <UserCheck className="w-3 h-3" />
+                        </span>
+                      )}
+                      {session.is_active && !sessionTakenOver && (
                         <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>
@@ -461,50 +570,92 @@ const BotSessionMonitor = forwardRef<
           <>
             {/* Chat Header */}
             <div className="px-4 py-2.5 border-b shrink-0">
-              <div className="min-w-0">
-                <div className="text-sm font-medium truncate">
-                  {selectedSession?.user_name ||
-                    selectedSession?.user_id ||
-                    selectedSessionId.slice(0, 20)}
+              <div className="flex items-start justify-between gap-2">
+                <div className="min-w-0">
+                  <div className="text-sm font-medium truncate">
+                    {selectedSession?.user_name ||
+                      selectedSession?.user_id ||
+                      selectedSessionId.slice(0, 20)}
+                  </div>
+                  <div className="flex items-center gap-1.5 text-xs text-muted-foreground mt-0.5">
+                    {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
+                          type="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>
+                      </>
+                    )}
+                    {isTakenOver ? (
+                      <>
+                        <span>·</span>
+                        <span className="flex items-center gap-1 text-orange-600 dark:text-orange-400">
+                          <UserCheck className="w-3 h-3" />
+                          {t('bots.sessionMonitor.takenOver', {
+                            defaultValue: 'Taken Over',
+                          })}
+                        </span>
+                      </>
+                    ) : (
+                      selectedSession?.is_active && (
+                        <>
+                          <span>·</span>
+                          <span className="flex items-center gap-1 text-green-600 dark:text-green-400">
+                            <span className="w-1.5 h-1.5 rounded-full bg-green-500 inline-block" />
+                            Active
+                          </span>
+                        </>
+                      )
+                    )}
+                  </div>
                 </div>
-                <div className="flex items-center gap-1.5 text-xs text-muted-foreground mt-0.5">
-                  {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
-                        type="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>
-                    </>
-                  )}
-                  {selectedSession?.is_active && (
-                    <>
-                      <span>·</span>
-                      <span className="flex items-center gap-1 text-green-600 dark:text-green-400">
-                        <span className="w-1.5 h-1.5 rounded-full bg-green-500 inline-block" />
-                        Active
-                      </span>
-                    </>
+                {/* Takeover / Release button */}
+                <div className="flex-shrink-0">
+                  {isTakenOver ? (
+                    <button
+                      type="button"
+                      onClick={handleRelease}
+                      disabled={takeoverLoading}
+                      className="inline-flex items-center gap-1 px-2.5 py-1.5 text-xs font-medium rounded-md bg-orange-100 text-orange-700 hover:bg-orange-200 dark:bg-orange-900/30 dark:text-orange-400 dark:hover:bg-orange-900/50 transition-colors disabled:opacity-50"
+                    >
+                      <UserCheck className="w-3.5 h-3.5" />
+                      {t('bots.sessionMonitor.releaseBtn', {
+                        defaultValue: 'Release',
+                      })}
+                    </button>
+                  ) : (
+                    <button
+                      type="button"
+                      onClick={handleTakeover}
+                      disabled={takeoverLoading}
+                      className="inline-flex items-center gap-1 px-2.5 py-1.5 text-xs font-medium rounded-md bg-primary/10 text-primary hover:bg-primary/20 transition-colors disabled:opacity-50"
+                    >
+                      <UserCheck className="w-3.5 h-3.5" />
+                      {t('bots.sessionMonitor.takeoverBtn', {
+                        defaultValue: 'Take Over',
+                      })}
+                    </button>
                   )}
                 </div>
               </div>
@@ -525,21 +676,12 @@ const BotSessionMonitor = forwardRef<
                     {t('bots.sessionMonitor.noMessages')}
                   </div>
                 ) : (
-                  messages.map((msg, msgIndex) => {
+                  messages.map((msg) => {
                     const isUser = isUserMessage(msg);
+                    const isOperator = isOperatorMessage(msg);
                     const isDiscarded =
                       msg.status === 'discarded' ||
                       msg.pipeline_id === PIPELINE_DISCARD;
-                    // For bot replies, find feedback linked to the preceding user message
-                    let msgFeedback: SessionFeedback | undefined;
-                    if (!isUser) {
-                      for (let i = msgIndex - 1; i >= 0; i--) {
-                        if (isUserMessage(messages[i])) {
-                          msgFeedback = feedbackMap[messages[i].id];
-                          break;
-                        }
-                      }
-                    }
                     return (
                       <div
                         key={msg.id}
@@ -553,7 +695,9 @@ const BotSessionMonitor = forwardRef<
                             'max-w-3xl px-4 py-2.5 rounded-2xl text-sm',
                             isUser
                               ? 'bg-primary/10 rounded-br-sm'
-                              : 'bg-muted rounded-bl-sm',
+                              : isOperator
+                                ? 'bg-orange-100/80 dark:bg-orange-900/30 rounded-bl-sm'
+                                : 'bg-muted rounded-bl-sm',
                             msg.status === 'error' && 'ring-1 ring-red-400/50',
                             isDiscarded && 'opacity-60',
                           )}
@@ -565,14 +709,13 @@ const BotSessionMonitor = forwardRef<
                               'text-[11px] mt-1.5 flex items-center gap-1.5 text-muted-foreground',
                             )}
                           >
-                            <span>
-                              {isUser
-                                ? t('bots.sessionMonitor.userMessage', {
-                                    defaultValue: 'User',
-                                  })
-                                : t('bots.sessionMonitor.botMessage', {
-                                    defaultValue: 'Assistant',
-                                  })}
+                            <span
+                              className={cn(
+                                isOperator &&
+                                  'text-orange-600 dark:text-orange-400 font-medium',
+                              )}
+                            >
+                              {getMessageRoleLabel(msg)}
                             </span>
                             <span className="tabular-nums">
                               {formatTime(msg.timestamp)}
@@ -584,12 +727,21 @@ const BotSessionMonitor = forwardRef<
                                   defaultValue: 'Discarded',
                                 })}
                               </span>
-                            ) : msg.pipeline_name ? (
+                            ) : msg.pipeline_name &&
+                              msg.pipeline_name !== 'Human Takeover' ? (
                               <span className="inline-flex items-center gap-0.5 opacity-70">
                                 <Workflow className="w-3 h-3" />
                                 {msg.pipeline_name}
                               </span>
                             ) : null}
+                            {isOperator && (
+                              <span className="inline-flex items-center gap-0.5 text-orange-600/70 dark:text-orange-400/70">
+                                <UserCheck className="w-3 h-3" />
+                                {t('bots.sessionMonitor.humanTakeover', {
+                                  defaultValue: 'Human Takeover',
+                                })}
+                              </span>
+                            )}
                             {msg.status === 'error' && (
                               <span className="text-red-500">error</span>
                             )}
@@ -599,30 +751,6 @@ const BotSessionMonitor = forwardRef<
                                 {msg.runner_name}
                               </span>
                             )}
-                            {/* Feedback indicator — same line, pushed right */}
-                            {!isUser &&
-                              msgFeedback &&
-                              (msgFeedback.feedback_type === 1 ? (
-                                <span className="inline-flex items-center gap-1 ml-auto text-green-600 dark:text-green-400 cursor-default relative group">
-                                  <ThumbsUp className="w-3 h-3 flex-shrink-0" />
-                                  {t('monitoring.feedback.like')}
-                                  {msgFeedback.feedback_content && (
-                                    <span className="hidden group-hover:block absolute bottom-full right-0 mb-1 px-3 py-1.5 rounded-lg bg-popover border text-popover-foreground text-xs whitespace-nowrap shadow-md z-10">
-                                      {msgFeedback.feedback_content}
-                                    </span>
-                                  )}
-                                </span>
-                              ) : (
-                                <span className="inline-flex items-center gap-1 ml-auto text-red-500 dark:text-red-400 cursor-default relative group">
-                                  <ThumbsDown className="w-3 h-3 flex-shrink-0" />
-                                  {t('monitoring.feedback.dislike')}
-                                  {msgFeedback.feedback_content && (
-                                    <span className="hidden group-hover:block absolute bottom-full right-0 mb-1 px-3 py-1.5 rounded-lg bg-popover border text-popover-foreground text-xs whitespace-nowrap shadow-md z-10">
-                                      {msgFeedback.feedback_content}
-                                    </span>
-                                  )}
-                                </span>
-                              ))}
                           </div>
                         </div>
                       </div>
@@ -631,6 +759,33 @@ const BotSessionMonitor = forwardRef<
                 )}
               </div>
             </ScrollArea>
+
+            {/* Operator Message Input (only shown when session is taken over) */}
+            {isTakenOver && (
+              <div className="px-4 py-3 border-t shrink-0">
+                <div className="flex items-center gap-2">
+                  <input
+                    type="text"
+                    value={operatorMessage}
+                    onChange={(e) => setOperatorMessage(e.target.value)}
+                    onKeyDown={handleMessageKeyDown}
+                    placeholder={t('bots.sessionMonitor.sendMessage', {
+                      defaultValue: 'Send message as operator...',
+                    })}
+                    disabled={sendingMessage}
+                    className="flex-1 h-9 px-3 rounded-md border bg-background text-sm placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:opacity-50"
+                  />
+                  <button
+                    type="button"
+                    onClick={handleSendMessage}
+                    disabled={sendingMessage || !operatorMessage.trim()}
+                    className="inline-flex items-center justify-center h-9 px-3 rounded-md bg-primary text-primary-foreground text-sm font-medium hover:bg-primary/90 transition-colors disabled:opacity-50 disabled:pointer-events-none"
+                  >
+                    <Send className="w-4 h-4" />
+                  </button>
+                </div>
+              </div>
+            )}
           </>
         )}
       </div>

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

@@ -240,9 +240,6 @@ export default function DynamicFormComponent({
           case 'embedding-model-selector':
             fieldSchema = z.string();
             break;
-          case 'rerank-model-selector':
-            fieldSchema = z.string();
-            break;
           case 'knowledge-base-selector':
             fieldSchema = z.string();
             break;

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

@@ -23,7 +23,6 @@ import {
   Bot,
   KnowledgeBase,
   EmbeddingModel,
-  RerankModel,
   PluginTool,
 } from '@/app/infra/entities/api';
 import { toast } from 'sonner';
@@ -75,7 +74,6 @@ export default function DynamicFormItemComponent({
 }) {
   const [llmModels, setLlmModels] = useState<LLMModel[]>([]);
   const [embeddingModels, setEmbeddingModels] = useState<EmbeddingModel[]>([]);
-  const [rerankModels, setRerankModels] = useState<RerankModel[]>([]);
   const [knowledgeBases, setKnowledgeBases] = useState<KnowledgeBase[]>([]);
   const [bots, setBots] = useState<Bot[]>([]);
   const [tools, setTools] = useState<PluginTool[]>([]);
@@ -182,19 +180,6 @@ export default function DynamicFormItemComponent({
     }
   }, [config.type]);
 
-  useEffect(() => {
-    if (config.type === DynamicFormItemType.RERANK_MODEL_SELECTOR) {
-      httpClient
-        .getProviderRerankModels()
-        .then((resp) => {
-          setRerankModels(resp.models);
-        })
-        .catch((err) => {
-          toast.error('Failed to load rerank models: ' + err.msg);
-        });
-    }
-  }, [config.type]);
-
   useEffect(() => {
     if (config.type === DynamicFormItemType.MODEL_FALLBACK_SELECTOR) {
       fetchLlmModels();
@@ -600,45 +585,6 @@ export default function DynamicFormItemComponent({
         </div>
       );
 
-    case DynamicFormItemType.RERANK_MODEL_SELECTOR:
-      const groupedRerankModels = rerankModels.reduce(
-        (acc, model) => {
-          const providerName = model.provider?.name || 'Unknown';
-          if (!acc[providerName]) acc[providerName] = [];
-          acc[providerName].push(model);
-          return acc;
-        },
-        {} as Record<string, RerankModel[]>,
-      );
-
-      return (
-        <div className="max-w-md">
-          <Select
-            value={field.value || '__none__'}
-            onValueChange={(v) => field.onChange(v === '__none__' ? '' : v)}
-          >
-            <SelectTrigger className="bg-[#ffffff] dark:bg-[#2a2a2e]">
-              <SelectValue placeholder={t('models.rerank')} />
-            </SelectTrigger>
-            <SelectContent>
-              <SelectItem value="__none__">{t('common.none')}</SelectItem>
-              {Object.entries(groupedRerankModels).map(
-                ([providerName, models]) => (
-                  <SelectGroup key={providerName}>
-                    <SelectLabel>{providerName}</SelectLabel>
-                    {models.map((model) => (
-                      <SelectItem key={model.uuid} value={model.uuid}>
-                        {model.name}
-                      </SelectItem>
-                    ))}
-                  </SelectGroup>
-                ),
-              )}
-            </SelectContent>
-          </Select>
-        </div>
-      );
-
     case DynamicFormItemType.MODEL_FALLBACK_SELECTOR: {
       // Separate space models from regular models
       const fbSpaceModels = llmModels.filter(

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

@@ -719,7 +719,7 @@ function NavItems({
                         <DropdownMenuTrigger asChild>
                           <button
                             type="button"
-                            className="p-1 rounded-sm text-sidebar-foreground/70 hover:bg-sidebar-accent hover:text-sidebar-accent-foreground [@media(hover:hover)]:opacity-0 group-hover/category-header:opacity-100 transition-all"
+                            className="p-1 rounded-sm text-sidebar-foreground/70 hover:bg-sidebar-accent hover:text-sidebar-accent-foreground opacity-0 group-hover/category-header:opacity-100 transition-all"
                             onClick={(e) => e.stopPropagation()}
                           >
                             <Plus className="size-3.5" />
@@ -762,7 +762,7 @@ function NavItems({
                     ) : (
                       <button
                         type="button"
-                        className="p-1 rounded-sm text-sidebar-foreground/70 hover:bg-sidebar-accent hover:text-sidebar-accent-foreground [@media(hover:hover)]:opacity-0 group-hover/category-header:opacity-100 transition-all"
+                        className="p-1 rounded-sm text-sidebar-foreground/70 hover:bg-sidebar-accent hover:text-sidebar-accent-foreground opacity-0 group-hover/category-header:opacity-100 transition-all"
                         onClick={(e) => {
                           e.stopPropagation();
                           navigate(`${routePrefix}?id=new`);

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

@@ -16,8 +16,6 @@ import { ProviderCard } from './components';
 import {
   ExtraArg,
   ModelType,
-  ScanModelsResult,
-  SelectedScannedModel,
   TestResult,
   ProviderModels,
   LANGBOT_MODELS_PROVIDER_REQUESTER,
@@ -147,17 +145,15 @@ export default function ModelsDialog({
       setLoadingProviders((prev) => new Set(prev).add(providerUuid));
     }
     try {
-      const [llmResp, embeddingResp, rerankResp] = await Promise.all([
+      const [llmResp, embeddingResp] = await Promise.all([
         httpClient.getProviderLLMModels(providerUuid),
         httpClient.getProviderEmbeddingModels(providerUuid),
-        httpClient.getProviderRerankModels(providerUuid),
       ]);
       setProviderModels((prev) => ({
         ...prev,
         [providerUuid]: {
           llm: llmResp.models,
           embedding: embeddingResp.models,
-          rerank: rerankResp.models,
         },
       }));
     } catch (err) {
@@ -249,14 +245,8 @@ export default function ModelsDialog({
           abilities,
           extra_args: extraArgsObj,
         } as never);
-      } else if (modelType === 'embedding') {
-        await httpClient.createProviderEmbeddingModel({
-          name,
-          provider_uuid: providerUuid,
-          extra_args: extraArgsObj,
-        } as never);
       } else {
-        await httpClient.createProviderRerankModel({
+        await httpClient.createProviderEmbeddingModel({
           name,
           provider_uuid: providerUuid,
           extra_args: extraArgsObj,
@@ -272,60 +262,6 @@ export default function ModelsDialog({
     }
   }
 
-  async function handleScanModels(
-    providerUuid: string,
-    modelType: ModelType,
-  ): Promise<ScanModelsResult> {
-    try {
-      const resp = await httpClient.scanProviderModels(providerUuid, modelType);
-      return {
-        models: resp.models,
-        debug: resp.debug,
-      };
-    } catch (err) {
-      toast.error(t('models.getModelListError') + (err as CustomApiError).msg);
-      return { models: [] };
-    }
-  }
-
-  async function handleAddScannedModels(
-    providerUuid: string,
-    modelType: ModelType,
-    models: SelectedScannedModel[],
-  ) {
-    if (models.length === 0) return;
-
-    setIsSubmitting(true);
-    try {
-      for (const item of models) {
-        if (modelType === 'llm') {
-          await httpClient.createProviderLLMModel({
-            name: item.model.name,
-            provider_uuid: providerUuid,
-            abilities: item.abilities,
-            extra_args: {},
-          } as never);
-        } else {
-          await httpClient.createProviderEmbeddingModel({
-            name: item.model.name,
-            provider_uuid: providerUuid,
-            extra_args: {},
-          } as never);
-        }
-      }
-      setAddModelPopoverOpen(null);
-      loadProviderModels(providerUuid, true);
-      loadProviders();
-      toast.success(
-        t('models.addSelectedModelsSuccess', { count: models.length }),
-      );
-    } catch (err) {
-      toast.error(t('models.createError') + (err as CustomApiError).msg);
-    } finally {
-      setIsSubmitting(false);
-    }
-  }
-
   async function handleUpdateModel(
     providerUuid: string,
     modelId: string,
@@ -349,14 +285,8 @@ export default function ModelsDialog({
           abilities,
           extra_args: extraArgsObj,
         } as never);
-      } else if (modelType === 'embedding') {
-        await httpClient.updateProviderEmbeddingModel(modelId, {
-          name,
-          provider_uuid: providerUuid,
-          extra_args: extraArgsObj,
-        } as never);
       } else {
-        await httpClient.updateProviderRerankModel(modelId, {
+        await httpClient.updateProviderEmbeddingModel(modelId, {
           name,
           provider_uuid: providerUuid,
           extra_args: extraArgsObj,
@@ -380,10 +310,8 @@ export default function ModelsDialog({
     try {
       if (modelType === 'llm') {
         await httpClient.deleteProviderLLMModel(modelId);
-      } else if (modelType === 'embedding') {
-        await httpClient.deleteProviderEmbeddingModel(modelId);
       } else {
-        await httpClient.deleteProviderRerankModel(modelId);
+        await httpClient.deleteProviderEmbeddingModel(modelId);
       }
       toast.success(t('models.deleteSuccess'));
       loadProviderModels(providerUuid, true);
@@ -423,16 +351,8 @@ export default function ModelsDialog({
           abilities,
           extra_args: extraArgsObj,
         } as never);
-      } else if (modelType === 'embedding') {
-        await httpClient.testEmbeddingModel('_', {
-          uuid: '',
-          name,
-          provider_uuid: '',
-          provider: providerData,
-          extra_args: extraArgsObj,
-        } as never);
       } else {
-        await httpClient.testRerankModel('_', {
+        await httpClient.testEmbeddingModel('_', {
           uuid: '',
           name,
           provider_uuid: '',
@@ -484,10 +404,6 @@ export default function ModelsDialog({
         onAddModel={(modelType, name, abilities, extraArgs) =>
           handleAddModel(provider.uuid, modelType, name, abilities, extraArgs)
         }
-        onScanModels={(modelType) => handleScanModels(provider.uuid, modelType)}
-        onAddScannedModels={(modelType, models) =>
-          handleAddScannedModels(provider.uuid, modelType, models)
-        }
         onOpenEditModel={(modelId) => setEditModelPopoverOpen(modelId)}
         onCloseEditModel={() => setEditModelPopoverOpen(null)}
         onUpdateModel={(modelId, modelType, name, abilities, extraArgs) =>

web/src/app/home/components/models-dialog/component/provider-form/ProviderForm.tsx

@@ -169,6 +169,8 @@ export default function ProviderForm({
                   onValueChange={(v) => {
                     field.onChange(v);
                     const req = requesterList.find((r) => r.value === v);
+                    // Auto-fill default URL when creating new provider
+                    // or when base_url is empty in edit mode
                     if (req && (!providerId || !form.getValues('base_url'))) {
                       form.setValue('base_url', req.defaultUrl);
                     }

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

@@ -1,15 +1,5 @@
-import { useState, useEffect, useRef } from 'react';
-import {
-  Plus,
-  MessageSquareText,
-  Cpu,
-  ArrowUpDown,
-  Eye,
-  Wrench,
-  Check,
-  RefreshCw,
-  Search,
-} from 'lucide-react';
+import { useState, useEffect } from 'react';
+import { Plus, MessageSquareText, Cpu, Eye, Wrench, Check } from 'lucide-react';
 import { Button } from '@/components/ui/button';
 import { Input } from '@/components/ui/input';
 import { Label } from '@/components/ui/label';
@@ -21,14 +11,7 @@ import {
 } from '@/components/ui/popover';
 import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { useTranslation } from 'react-i18next';
-import { ScannedProviderModel } from '@/app/infra/entities/api';
-import {
-  ExtraArg,
-  ModelType,
-  ScanModelsResult,
-  SelectedScannedModel,
-  TestResult,
-} from '../types';
+import { ExtraArg, ModelType, TestResult } from '../types';
 import ExtraArgsEditor from './ExtraArgsEditor';
 
 interface AddModelPopoverProps {
@@ -41,11 +24,6 @@ interface AddModelPopoverProps {
     abilities: string[],
     extraArgs: ExtraArg[],
   ) => Promise<void>;
-  onScanModels: (modelType: ModelType) => Promise<ScanModelsResult>;
-  onAddScannedModels: (
-    modelType: ModelType,
-    models: SelectedScannedModel[],
-  ) => Promise<void>;
   onTestModel: (
     name: string,
     modelType: ModelType,
@@ -63,8 +41,6 @@ export default function AddModelPopover({
   onOpen,
   onClose,
   onAddModel,
-  onScanModels,
-  onAddScannedModels,
   onTestModel,
   isSubmitting,
   isTesting,
@@ -72,44 +48,22 @@ export default function AddModelPopover({
   onResetTestResult,
 }: AddModelPopoverProps) {
   const { t } = useTranslation();
-  const prevIsOpenRef = useRef(false);
 
   const [tab, setTab] = useState<ModelType>('llm');
-  const [mode, setMode] = useState<'manual' | 'scan'>('manual');
   const [name, setName] = useState('');
   const [abilities, setAbilities] = useState<string[]>([]);
   const [extraArgs, setExtraArgs] = useState<ExtraArg[]>([]);
-  const [scanLoading, setScanLoading] = useState(false);
-  const [scannedModels, setScannedModels] = useState<ScannedProviderModel[]>(
-    [],
-  );
-  const [selectedScannedModels, setSelectedScannedModels] = useState<
-    Record<string, SelectedScannedModel>
-  >({});
-  const [scanQuery, setScanQuery] = useState('');
 
+  // Reset form when popover opens
   useEffect(() => {
-    const wasOpen = prevIsOpenRef.current;
-    if (isOpen && !wasOpen) {
+    if (isOpen) {
       setTab('llm');
-      setMode('manual');
       setName('');
       setAbilities([]);
       setExtraArgs([]);
-      setScanLoading(false);
-      setScannedModels([]);
-      setSelectedScannedModels({});
-      setScanQuery('');
       onResetTestResult();
     }
-    prevIsOpenRef.current = isOpen;
-  }, [isOpen, onResetTestResult]);
-
-  useEffect(() => {
-    setScannedModels([]);
-    setSelectedScannedModels({});
-    setScanQuery('');
-  }, [tab, mode]);
+  }, [isOpen]);
 
   const handleAdd = async () => {
     await onAddModel(tab, name, abilities, extraArgs);
@@ -119,50 +73,6 @@ export default function AddModelPopover({
     await onTestModel(name, tab, tab === 'llm' ? abilities : [], extraArgs);
   };
 
-  const handleScan = async () => {
-    setScanLoading(true);
-    try {
-      const result = await onScanModels(tab);
-
-      // Enrich abilities from debug.response.data (e.g. features.tools.function_calling)
-      const debugData = (
-        result.debug?.response as { data?: Record<string, unknown>[] }
-      )?.data;
-      if (Array.isArray(debugData)) {
-        const debugMap = new Map<string, Record<string, unknown>>();
-        for (const item of debugData) {
-          if (typeof item?.id === 'string') {
-            debugMap.set(item.id, item);
-          }
-        }
-        for (const model of result.models) {
-          const debugItem = debugMap.get(model.id);
-          if (!debugItem) continue;
-          const features = debugItem.features as
-            | Record<string, unknown>
-            | undefined;
-          const tools = features?.tools as Record<string, unknown> | undefined;
-          if (tools?.function_calling === true) {
-            const abilities = new Set(model.abilities || []);
-            abilities.add('func_call');
-            model.abilities = [...abilities];
-          }
-        }
-      }
-
-      setScannedModels(result.models);
-      setSelectedScannedModels({});
-    } finally {
-      setScanLoading(false);
-    }
-  };
-
-  const handleAddScanned = async () => {
-    const selectedModels = Object.values(selectedScannedModels);
-    if (selectedModels.length === 0) return;
-    await onAddScannedModels(tab, selectedModels);
-  };
-
   const toggleAbility = (ability: string, checked: boolean) => {
     if (checked) {
       setAbilities([...abilities, ability]);
@@ -171,76 +81,6 @@ export default function AddModelPopover({
     }
   };
 
-  const toggleScannedModel = (
-    model: ScannedProviderModel,
-    checked: boolean,
-  ) => {
-    setSelectedScannedModels((prev) => {
-      const next = { ...prev };
-      if (checked) {
-        next[model.id] = {
-          model,
-          abilities:
-            model.type === 'llm'
-              ? prev[model.id]?.abilities || model.abilities || []
-              : [],
-        };
-      } else {
-        delete next[model.id];
-      }
-      return next;
-    });
-  };
-
-  const toggleScannedModelAbility = (
-    modelId: string,
-    ability: string,
-    checked: boolean,
-  ) => {
-    setSelectedScannedModels((prev) => {
-      const current = prev[modelId];
-      if (!current) return prev;
-
-      const nextAbilities = checked
-        ? [...current.abilities, ability]
-        : current.abilities.filter((item) => item !== ability);
-
-      return {
-        ...prev,
-        [modelId]: {
-          ...current,
-          abilities: nextAbilities,
-        },
-      };
-    });
-  };
-
-  const filteredScannedModels = scannedModels.filter((model) =>
-    model.name.toLowerCase().includes(scanQuery.trim().toLowerCase()),
-  );
-
-  const selectableModels = filteredScannedModels.filter(
-    (m) => !m.already_added,
-  );
-  const allSelected =
-    selectableModels.length > 0 &&
-    selectableModels.every((m) => Boolean(selectedScannedModels[m.id]));
-
-  const toggleSelectAll = () => {
-    if (allSelected) {
-      setSelectedScannedModels({});
-    } else {
-      const next: Record<string, SelectedScannedModel> = {};
-      for (const model of selectableModels) {
-        next[model.id] = {
-          model,
-          abilities: model.type === 'llm' ? model.abilities || [] : [],
-        };
-      }
-      setSelectedScannedModels(next);
-    }
-  };
-
   return (
     <Popover
       open={isOpen}
@@ -258,15 +98,12 @@ export default function AddModelPopover({
         </Button>
       </PopoverTrigger>
       <PopoverContent
-        className="w-[min(24rem,calc(100vw-2rem))] max-h-[calc(100vh-8rem)] overflow-y-auto"
+        className="w-80"
         align="end"
-        side="left"
-        sideOffset={8}
-        collisionPadding={16}
         onClick={(e) => e.stopPropagation()}
       >
         <Tabs value={tab} onValueChange={(v) => setTab(v as ModelType)}>
-          <TabsList className="grid w-full grid-cols-3">
+          <TabsList className="grid w-full grid-cols-2">
             <TabsTrigger value="llm">
               <MessageSquareText className="h-4 w-4 mr-1" />
               {t('models.chat')}
@@ -275,272 +112,118 @@ export default function AddModelPopover({
               <Cpu className="h-4 w-4 mr-1" />
               {t('models.embedding')}
             </TabsTrigger>
-            <TabsTrigger value="rerank">
-              <ArrowUpDown className="h-4 w-4 mr-1" />
-              {t('models.rerank')}
-            </TabsTrigger>
           </TabsList>
 
-          <Tabs
-            value={mode}
-            onValueChange={(v) => setMode(v as 'manual' | 'scan')}
-          >
-            <TabsList className="grid w-full grid-cols-2 mt-3">
-              <TabsTrigger value="manual">{t('models.manualAdd')}</TabsTrigger>
-              <TabsTrigger value="scan">{t('models.scanAdd')}</TabsTrigger>
-            </TabsList>
-
-            <TabsContent value="manual" className="mt-3">
-              <div className="space-y-3">
-                <div className="space-y-2">
-                  <Label>{t('models.modelName')}</Label>
-                  <Input
-                    placeholder={t('models.modelName')}
-                    value={name}
-                    onChange={(e) => setName(e.target.value)}
+          <TabsContent value="llm" className="space-y-3 mt-3">
+            <div className="space-y-2">
+              <Label>{t('models.modelName')}</Label>
+              <Input
+                placeholder={t('models.modelName')}
+                value={name}
+                onChange={(e) => setName(e.target.value)}
+              />
+            </div>
+            <div className="space-y-2">
+              <Label>{t('models.abilities')}</Label>
+              <div className="flex gap-4">
+                <div className="flex items-center gap-2">
+                  <Checkbox
+                    id="add-vision"
+                    checked={abilities.includes('vision')}
+                    onCheckedChange={(checked) =>
+                      toggleAbility('vision', checked as boolean)
+                    }
                   />
+                  <Label htmlFor="add-vision" className="text-sm">
+                    <Eye className="h-3 w-3 inline mr-1" />
+                    {t('models.visionAbility')}
+                  </Label>
                 </div>
-
-                {tab === 'llm' && (
-                  <div className="space-y-2">
-                    <Label>{t('models.abilities')}</Label>
-                    <div className="flex gap-4">
-                      <div className="flex items-center gap-2">
-                        <Checkbox
-                          id="add-vision"
-                          checked={abilities.includes('vision')}
-                          onCheckedChange={(checked) =>
-                            toggleAbility('vision', checked as boolean)
-                          }
-                        />
-                        <Label htmlFor="add-vision" className="text-sm">
-                          <Eye className="h-3 w-3 inline mr-1" />
-                          {t('models.visionAbility')}
-                        </Label>
-                      </div>
-                      <div className="flex items-center gap-2">
-                        <Checkbox
-                          id="add-func-call"
-                          checked={abilities.includes('func_call')}
-                          onCheckedChange={(checked) =>
-                            toggleAbility('func_call', checked as boolean)
-                          }
-                        />
-                        <Label htmlFor="add-func-call" className="text-sm">
-                          <Wrench className="h-3 w-3 inline mr-1" />
-                          {t('models.functionCallAbility')}
-                        </Label>
-                      </div>
-                    </div>
-                  </div>
-                )}
-
-                <ExtraArgsEditor
-                  args={extraArgs}
-                  onChange={setExtraArgs}
-                  modelType={tab}
-                />
-                <div className="flex gap-2">
-                  <Button
-                    className="flex-1"
-                    size="sm"
-                    onClick={handleAdd}
-                    disabled={isSubmitting || isTesting}
-                  >
-                    {isSubmitting ? t('common.saving') : t('common.add')}
-                  </Button>
-                  <Button
-                    className="flex-1"
-                    size="sm"
-                    variant="outline"
-                    onClick={handleTest}
-                    disabled={isSubmitting || isTesting}
-                  >
-                    {isTesting ? (
-                      t('common.loading')
-                    ) : testResult?.success ? (
-                      <>
-                        <Check className="h-4 w-4 mr-1 text-green-500" />
-                        {(testResult.duration / 1000).toFixed(1)}s
-                      </>
-                    ) : (
-                      t('common.test')
-                    )}
-                  </Button>
+                <div className="flex items-center gap-2">
+                  <Checkbox
+                    id="add-func-call"
+                    checked={abilities.includes('func_call')}
+                    onCheckedChange={(checked) =>
+                      toggleAbility('func_call', checked as boolean)
+                    }
+                  />
+                  <Label htmlFor="add-func-call" className="text-sm">
+                    <Wrench className="h-3 w-3 inline mr-1" />
+                    {t('models.functionCallAbility')}
+                  </Label>
                 </div>
               </div>
-            </TabsContent>
-
-            <TabsContent value="scan" className="space-y-3 mt-3">
-              <div className="text-xs text-muted-foreground">
-                {t('models.scanModelsHint')}
-              </div>
-
-              <div className="flex gap-2">
-                <Button
-                  className="flex-1"
-                  size="sm"
-                  variant="outline"
-                  onClick={handleScan}
-                  disabled={scanLoading || isSubmitting}
-                >
-                  {scanLoading ? (
-                    <RefreshCw className="h-4 w-4 mr-1 animate-spin" />
-                  ) : (
-                    <Search className="h-4 w-4 mr-1" />
-                  )}
-                  {t('models.scanModels')}
-                </Button>
-                <Button
-                  className="flex-1"
-                  size="sm"
-                  onClick={handleAddScanned}
-                  disabled={
-                    isSubmitting ||
-                    scanLoading ||
-                    Object.keys(selectedScannedModels).length === 0
-                  }
-                >
-                  {isSubmitting
-                    ? t('common.saving')
-                    : t('models.addSelectedModels')}
-                </Button>
-              </div>
-
-              <div className="space-y-2">
-                <Label>{t('models.scannedModels')}</Label>
-                <Input
-                  placeholder={t('models.searchScannedModels')}
-                  value={scanQuery}
-                  onChange={(e) => setScanQuery(e.target.value)}
-                  disabled={scannedModels.length === 0}
-                />
-                {selectableModels.length > 0 && (
-                  <div className="flex items-center gap-2 pt-1">
-                    <Checkbox
-                      id="scan-select-all"
-                      checked={allSelected}
-                      onCheckedChange={toggleSelectAll}
-                    />
-                    <Label
-                      htmlFor="scan-select-all"
-                      className="text-sm font-medium"
-                    >
-                      {t('models.selectAll')}
-                      <span className="text-muted-foreground ml-1">
-                        ({Object.keys(selectedScannedModels).length}/
-                        {selectableModels.length})
-                      </span>
-                    </Label>
-                  </div>
-                )}
-              </div>
-
-              <div
-                className="h-64 overflow-y-auto overscroll-contain rounded-md border"
-                onWheel={(e) => e.stopPropagation()}
+            </div>
+            <ExtraArgsEditor args={extraArgs} onChange={setExtraArgs} />
+            <div className="flex gap-2">
+              <Button
+                className="flex-1"
+                size="sm"
+                onClick={handleAdd}
+                disabled={isSubmitting || isTesting}
               >
-                <div className="p-3 space-y-2">
-                  {filteredScannedModels.length === 0 ? (
-                    <p className="text-sm text-muted-foreground">
-                      {scannedModels.length === 0
-                        ? t('models.noScannedModels')
-                        : t('models.noScannedModelsMatch')}
-                    </p>
-                  ) : (
-                    filteredScannedModels.map((model) => {
-                      const isSelected = Boolean(
-                        selectedScannedModels[model.id],
-                      );
-                      const selectedAbilities =
-                        selectedScannedModels[model.id]?.abilities || [];
-                      return (
-                        <div
-                          key={model.id}
-                          className="rounded-md border p-3 space-y-2"
-                        >
-                          <div className="flex items-start gap-3">
-                            <Checkbox
-                              checked={isSelected || model.already_added}
-                              disabled={model.already_added}
-                              onCheckedChange={(checked) =>
-                                toggleScannedModel(model, checked as boolean)
-                              }
-                            />
-                            <div className="min-w-0 flex-1">
-                              <div className="text-sm font-medium break-all">
-                                {model.name}
-                              </div>
-                              <div className="text-xs text-muted-foreground">
-                                {model.already_added
-                                  ? t('models.alreadyAdded')
-                                  : model.type === 'llm'
-                                    ? t('models.chat')
-                                    : model.type === 'embedding'
-                                      ? t('models.embedding')
-                                      : t('models.rerank')}
-                              </div>
-                            </div>
-                          </div>
+                {isSubmitting ? t('common.saving') : t('common.add')}
+              </Button>
+              <Button
+                className="flex-1"
+                size="sm"
+                variant="outline"
+                onClick={handleTest}
+                disabled={isSubmitting || isTesting}
+              >
+                {isTesting ? (
+                  t('common.loading')
+                ) : testResult?.success ? (
+                  <>
+                    <Check className="h-4 w-4 mr-1 text-green-500" />
+                    {(testResult.duration / 1000).toFixed(1)}s
+                  </>
+                ) : (
+                  t('common.test')
+                )}
+              </Button>
+            </div>
+          </TabsContent>
 
-                          {tab === 'llm' &&
-                            isSelected &&
-                            !model.already_added && (
-                              <div className="flex gap-4 pl-7">
-                                <div className="flex items-center gap-2">
-                                  <Checkbox
-                                    id={`scan-vision-${model.id}`}
-                                    checked={selectedAbilities.includes(
-                                      'vision',
-                                    )}
-                                    onCheckedChange={(checked) =>
-                                      toggleScannedModelAbility(
-                                        model.id,
-                                        'vision',
-                                        checked as boolean,
-                                      )
-                                    }
-                                  />
-                                  <Label
-                                    htmlFor={`scan-vision-${model.id}`}
-                                    className="text-sm"
-                                  >
-                                    <Eye className="h-3 w-3 inline mr-1" />
-                                    {t('models.visionAbility')}
-                                  </Label>
-                                </div>
-                                <div className="flex items-center gap-2">
-                                  <Checkbox
-                                    id={`scan-func-${model.id}`}
-                                    checked={selectedAbilities.includes(
-                                      'func_call',
-                                    )}
-                                    onCheckedChange={(checked) =>
-                                      toggleScannedModelAbility(
-                                        model.id,
-                                        'func_call',
-                                        checked as boolean,
-                                      )
-                                    }
-                                  />
-                                  <Label
-                                    htmlFor={`scan-func-${model.id}`}
-                                    className="text-sm"
-                                  >
-                                    <Wrench className="h-3 w-3 inline mr-1" />
-                                    {t('models.functionCallAbility')}
-                                  </Label>
-                                </div>
-                              </div>
-                            )}
-                        </div>
-                      );
-                    })
-                  )}
-                </div>
-              </div>
-            </TabsContent>
-          </Tabs>
+          <TabsContent value="embedding" className="space-y-3 mt-3">
+            <div className="space-y-2">
+              <Label>{t('models.modelName')}</Label>
+              <Input
+                placeholder={t('models.modelName')}
+                value={name}
+                onChange={(e) => setName(e.target.value)}
+              />
+            </div>
+            <ExtraArgsEditor args={extraArgs} onChange={setExtraArgs} />
+            <div className="flex gap-2">
+              <Button
+                className="flex-1"
+                size="sm"
+                onClick={handleAdd}
+                disabled={isSubmitting || isTesting}
+              >
+                {isSubmitting ? t('common.saving') : t('common.add')}
+              </Button>
+              <Button
+                className="flex-1"
+                size="sm"
+                variant="outline"
+                onClick={handleTest}
+                disabled={isSubmitting || isTesting}
+              >
+                {isTesting ? (
+                  t('common.loading')
+                ) : testResult?.success ? (
+                  <>
+                    <Check className="h-4 w-4 mr-1 text-green-500" />
+                    {(testResult.duration / 1000).toFixed(1)}s
+                  </>
+                ) : (
+                  t('common.test')
+                )}
+              </Button>
+            </div>
+          </TabsContent>
         </Tabs>
       </PopoverContent>
     </Popover>

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

@@ -1,4 +1,4 @@
-import { Plus, X, HelpCircle } from 'lucide-react';
+import { Plus, X } from 'lucide-react';
 import { Button } from '@/components/ui/button';
 import { Input } from '@/components/ui/input';
 import { Label } from '@/components/ui/label';
@@ -9,26 +9,19 @@ import {
   SelectTrigger,
   SelectValue,
 } from '@/components/ui/select';
-import {
-  Tooltip,
-  TooltipContent,
-  TooltipTrigger,
-} from '@/components/ui/tooltip';
 import { useTranslation } from 'react-i18next';
-import { ExtraArg, ModelType } from '../types';
+import { ExtraArg } from '../types';
 
 interface ExtraArgsEditorProps {
   args: ExtraArg[];
   onChange: (args: ExtraArg[]) => void;
   disabled?: boolean;
-  modelType?: ModelType;
 }
 
 export default function ExtraArgsEditor({
   args,
   onChange,
   disabled = false,
-  modelType,
 }: ExtraArgsEditorProps) {
   const { t } = useTranslation();
 
@@ -53,27 +46,7 @@ export default function ExtraArgsEditor({
   return (
     <div className="space-y-2">
       <div className="flex items-center justify-between">
-        <div className="flex items-center gap-1">
-          <Label>{t('models.extraParameters')}</Label>
-          {modelType === 'rerank' && (
-            <Tooltip>
-              <TooltipTrigger asChild>
-                <HelpCircle className="h-4 w-4 text-muted-foreground cursor-help" />
-              </TooltipTrigger>
-              <TooltipContent className="max-w-xs">
-                <div className="space-y-1 text-sm">
-                  <p>
-                    <strong>rerank_url</strong>: {t('models.rerankUrlTooltip')}
-                  </p>
-                  <p>
-                    <strong>rerank_path</strong>:{' '}
-                    {t('models.rerankPathTooltip')}
-                  </p>
-                </div>
-              </TooltipContent>
-            </Tooltip>
-          )}
-        </div>
+        <Label>{t('models.extraParameters')}</Label>
         {!disabled && (
           <Button
             type="button"

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

@@ -139,11 +139,7 @@ export default function ModelItem({
           <div className="flex items-center gap-2 flex-wrap">
             <span className="text-sm font-medium">{model.name}</span>
             <Badge variant="secondary" className="text-xs">
-              {modelType === 'llm'
-                ? t('models.chat')
-                : modelType === 'embedding'
-                  ? t('models.embedding')
-                  : t('models.rerank')}
+              {modelType === 'llm' ? t('models.chat') : t('models.embedding')}
             </Badge>
             {modelType === 'llm' &&
               (model as LLMModel).abilities?.includes('vision') && (
@@ -267,7 +263,6 @@ export default function ModelItem({
             args={editExtraArgs}
             onChange={setEditExtraArgs}
             disabled={isLangBotModels}
-            modelType={modelType}
           />
 
           <div className="flex gap-2">

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

@@ -24,14 +24,7 @@ import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
 import { Badge } from '@/components/ui/badge';
 import { useTranslation } from 'react-i18next';
 import langbotIcon from '@/app/assets/langbot-logo.webp';
-import {
-  ExtraArg,
-  ModelType,
-  ScanModelsResult,
-  SelectedScannedModel,
-  TestResult,
-  ProviderModels,
-} from '../types';
+import { ExtraArg, ModelType, TestResult, ProviderModels } from '../types';
 import ModelItem from './ModelItem';
 import AddModelPopover from './AddModelPopover';
 
@@ -60,11 +53,6 @@ interface ProviderCardProps {
     abilities: string[],
     extraArgs: ExtraArg[],
   ) => Promise<void>;
-  onScanModels: (modelType: ModelType) => Promise<ScanModelsResult>;
-  onAddScannedModels: (
-    modelType: ModelType,
-    models: SelectedScannedModel[],
-  ) => Promise<void>;
   onOpenEditModel: (modelId: string) => void;
   onCloseEditModel: () => void;
   onUpdateModel: (
@@ -113,8 +101,6 @@ export default function ProviderCard({
   onOpenAddModel,
   onCloseAddModel,
   onAddModel,
-  onScanModels,
-  onAddScannedModels,
   onOpenEditModel,
   onCloseEditModel,
   onUpdateModel,
@@ -134,12 +120,9 @@ export default function ProviderCard({
   const canDelete =
     !isLangBotModels &&
     (provider.llm_count || 0) === 0 &&
-    (provider.embedding_count || 0) === 0 &&
-    (provider.rerank_count || 0) === 0;
+    (provider.embedding_count || 0) === 0;
   const totalModels =
-    (provider.llm_count || 0) +
-    (provider.embedding_count || 0) +
-    (provider.rerank_count || 0);
+    (provider.llm_count || 0) + (provider.embedding_count || 0);
 
   return (
     <Card className="mb-2">
@@ -315,8 +298,6 @@ export default function ProviderCard({
                 onOpen={onOpenAddModel}
                 onClose={onCloseAddModel}
                 onAddModel={onAddModel}
-                onScanModels={onScanModels}
-                onAddScannedModels={onAddScannedModels}
                 onTestModel={onTestModel}
                 isSubmitting={isSubmitting}
                 isTesting={isTesting}
@@ -396,44 +377,11 @@ export default function ProviderCard({
                     onResetTestResult={onResetTestResult}
                   />
                 ))}
-                {models.rerank.map((model) => (
-                  <ModelItem
-                    key={model.uuid}
-                    model={model}
-                    modelType="rerank"
-                    isLangBotModels={isLangBotModels}
-                    editModelPopoverOpen={editModelPopoverOpen}
-                    deleteConfirmOpen={deleteConfirmOpen}
-                    onOpenEditModel={onOpenEditModel}
-                    onCloseEditModel={onCloseEditModel}
-                    onOpenDeleteConfirm={onOpenDeleteConfirm}
-                    onCloseDeleteConfirm={onCloseDeleteConfirm}
-                    onDeleteModel={() => onDeleteModel(model.uuid, 'rerank')}
-                    onUpdateModel={(name, abilities, extraArgs) =>
-                      onUpdateModel(
-                        model.uuid,
-                        'rerank',
-                        name,
-                        abilities,
-                        extraArgs,
-                      )
-                    }
-                    onTestModel={(name, abilities, extraArgs) =>
-                      onTestModel(name, 'rerank', abilities, extraArgs)
-                    }
-                    isSubmitting={isSubmitting}
-                    isTesting={isTesting}
-                    testResult={testResult}
-                    onResetTestResult={onResetTestResult}
-                  />
-                ))}
-                {models.llm.length === 0 &&
-                  models.embedding.length === 0 &&
-                  models.rerank.length === 0 && (
-                    <p className="text-sm text-muted-foreground text-center py-4">
-                      {t('models.noModels')}
-                    </p>
-                  )}
+                {models.llm.length === 0 && models.embedding.length === 0 && (
+                  <p className="text-sm text-muted-foreground text-center py-4">
+                    {t('models.noModels')}
+                  </p>
+                )}
               </div>
             ) : (
               <p className="text-sm text-muted-foreground text-center py-4">

web/src/app/home/components/models-dialog/types.ts

@@ -1,10 +1,7 @@
 import {
   LLMModel,
   EmbeddingModel,
-  RerankModel,
   ModelProvider,
-  ProviderScanDebugInfo,
-  ScannedProviderModel,
 } from '@/app/infra/entities/api';
 
 export type ExtraArg = {
@@ -13,12 +10,11 @@ export type ExtraArg = {
   value: string;
 };
 
-export type ModelType = 'llm' | 'embedding' | 'rerank';
+export type ModelType = 'llm' | 'embedding';
 
 export interface ProviderModels {
   llm: LLMModel[];
   embedding: EmbeddingModel[];
-  rerank: RerankModel[];
 }
 
 export interface TestResult {
@@ -26,16 +22,6 @@ export interface TestResult {
   duration: number;
 }
 
-export type SelectedScannedModel = {
-  model: ScannedProviderModel;
-  abilities: string[];
-};
-
-export type ScanModelsResult = {
-  models: ScannedProviderModel[];
-  debug?: ProviderScanDebugInfo;
-};
-
 export interface ModelItemProps {
   model: LLMModel | EmbeddingModel;
   modelType: ModelType;
@@ -89,11 +75,6 @@ export interface ProviderCardProps {
     abilities: string[],
     extraArgs: ExtraArg[],
   ) => Promise<void>;
-  onScanModels: (modelType: ModelType) => Promise<ScanModelsResult>;
-  onAddScannedModels: (
-    modelType: ModelType,
-    models: SelectedScannedModel[],
-  ) => Promise<void>;
   onOpenEditModel: (modelId: string) => void;
   onCloseEditModel: () => void;
   onUpdateModel: (

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

@@ -1,5 +1,4 @@
 import React, { useCallback, useEffect, useState } from 'react';
-import { Link } from 'react-router-dom';
 import { Card, CardContent } from '@/components/ui/card';
 import {
   Select,
@@ -220,12 +219,6 @@ export default function FileUploadZone({
                 <p className="text-sm text-yellow-800 dark:text-yellow-200">
                   {t('knowledge.documentsTab.noParserAvailable')}
                 </p>
-                <Link
-                  to="/home/market?category=Parser"
-                  className="text-sm text-primary hover:underline mt-1 inline-block"
-                >
-                  {t('knowledge.documentsTab.installParserHint')}
-                </Link>
               </div>
             ) : (
               <div className="space-y-2">

web/src/app/home/monitoring/components/ExportDropdown.tsx

@@ -7,7 +7,6 @@ import {
   AlertCircle,
   Users,
   Layers,
-  ThumbsUp,
 } from 'lucide-react';
 import { Button } from '@/components/ui/button';
 import {
@@ -26,8 +25,7 @@ export type ExportType =
   | 'llm-calls'
   | 'embedding-calls'
   | 'errors'
-  | 'sessions'
-  | 'feedback';
+  | 'sessions';
 
 interface ExportDropdownProps {
   filterState: FilterState;
@@ -164,11 +162,6 @@ export function ExportDropdown({ filterState }: ExportDropdownProps) {
       label: t('monitoring.export.sessions'),
       icon: <Users className="w-4 h-4 mr-2" />,
     },
-    {
-      type: 'feedback',
-      label: t('monitoring.export.feedback'),
-      icon: <ThumbsUp className="w-4 h-4 mr-2" />,
-    },
   ];
 
   return (

web/src/app/home/monitoring/components/FeedbackList.tsx

@@ -127,20 +127,6 @@ export function FeedbackList({
                         {item.platform}
                       </span>
                     )}
-                    {item.streamId && onViewMessage && (
-                      <Button
-                        variant="ghost"
-                        size="sm"
-                        className="h-5 px-1.5 text-xs"
-                        onClick={(e) => {
-                          e.stopPropagation();
-                          onViewMessage(item.streamId!);
-                        }}
-                      >
-                        <ExternalLink className="w-3 h-3 mr-1" />
-                        {t('monitoring.messageList.viewConversation')}
-                      </Button>
-                    )}
                   </div>
 
                   {item.feedbackContent && (
@@ -235,8 +221,21 @@ export function FeedbackList({
                         <div className="text-gray-500 dark:text-gray-400">
                           {t('monitoring.feedback.messageId')}
                         </div>
-                        <div className="font-medium text-gray-900 dark:text-white truncate">
-                          {item.messageId}
+                        <div className="font-medium text-gray-900 dark:text-white truncate flex items-center gap-1">
+                          <span className="truncate">{item.messageId}</span>
+                          {onViewMessage && (
+                            <Button
+                              variant="ghost"
+                              size="sm"
+                              className="h-5 px-1.5 text-xs shrink-0"
+                              onClick={(e) => {
+                                e.stopPropagation();
+                                onViewMessage(item.messageId!);
+                              }}
+                            >
+                              <ExternalLink className="w-3 h-3" />
+                            </Button>
+                          )}
                         </div>
                       </div>
                     )}

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

@@ -1,7 +1,6 @@
 import { useState, useEffect, useCallback, useMemo } from 'react';
 import { httpClient } from '@/app/infra/http';
 import { FeedbackRecord, FeedbackStats } from '../types/monitoring';
-import { parseUTCTimestamp } from '../utils/dateUtils';
 
 interface UseFeedbackDataParams {
   botIds?: string[];
@@ -143,7 +142,7 @@ export function useFeedbackData(params: UseFeedbackDataParams = {}) {
         const transformedFeedback: FeedbackRecord[] = result.feedback.map(
           (item) => ({
             id: item.id,
-            timestamp: parseUTCTimestamp(item.timestamp),
+            timestamp: new Date(item.timestamp),
             feedbackId: item.feedback_id,
             feedbackType: item.feedback_type === 1 ? 'like' : 'dislike',
             feedbackContent: item.feedback_content,

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

@@ -1,4 +1,4 @@
-import React, { Suspense, useState, useMemo, useCallback } from 'react';
+import React, { Suspense, useState, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { Button } from '@/components/ui/button';
@@ -69,9 +69,6 @@ function MonitoringPageContent() {
     useMonitoringFilters();
   const { data, loading, refetch } = useMonitoringData(filterState);
 
-  // Counter to force feedbackTimeRange recomputation on manual refresh
-  const [feedbackRefreshKey, setFeedbackRefreshKey] = useState(0);
-
   // Get time range for feedback data
   const feedbackTimeRange = useMemo(() => {
     const now = new Date();
@@ -109,8 +106,7 @@ function MonitoringPageContent() {
       startTime: startTime?.toISOString(),
       endTime: endTime.toISOString(),
     };
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [filterState.timeRange, filterState.customDateRange, feedbackRefreshKey]);
+  }, [filterState.timeRange, filterState.customDateRange]);
 
   // Feedback data hook
   const {
@@ -131,12 +127,6 @@ function MonitoringPageContent() {
     limit: 50,
   });
 
-  // Combined refresh handler for both monitoring and feedback data
-  const handleRefresh = useCallback(() => {
-    refetch();
-    setFeedbackRefreshKey((k) => k + 1);
-  }, [refetch]);
-
   const [expandedMessageId, setExpandedMessageId] = useState<string | null>(
     null,
   );
@@ -275,7 +265,7 @@ function MonitoringPageContent() {
               <Button
                 variant="outline"
                 size="sm"
-                onClick={handleRefresh}
+                onClick={refetch}
                 className="shadow-sm flex-shrink-0"
               >
                 <svg

web/src/app/home/plugins/components/plugin-install-task/PluginInstallProgressDialog.tsx

@@ -405,10 +405,7 @@ export default function PluginInstallProgressDialog() {
 
   return (
     <Dialog open={open} onOpenChange={(o) => !o && handleClose()}>
-      <DialogContent
-        className="w-[460px] max-h-[80vh] p-6 bg-white dark:bg-[#1a1a1e] overflow-y-auto"
-        hideCloseButton
-      >
+      <DialogContent className="w-[460px] max-h-[80vh] p-6 bg-white dark:bg-[#1a1a1e] overflow-y-auto">
         <DialogHeader>
           <DialogTitle className="flex items-center gap-3">
             <Download className="size-5" />
@@ -425,16 +422,14 @@ export default function PluginInstallProgressDialog() {
         {selectedTask && <TaskProgressContent task={selectedTask} />}
 
         <div className="flex justify-end gap-2 mt-2">
-          <Button
-            variant="default"
-            size="sm"
-            onClick={
-              selectedTask?.stage === InstallStage.DONE ||
-              selectedTask?.stage === InstallStage.ERROR
-                ? handleDismiss
-                : handleClose
-            }
-          >
+          {selectedTask &&
+            (selectedTask.stage === InstallStage.DONE ||
+              selectedTask.stage === InstallStage.ERROR) && (
+              <Button variant="outline" size="sm" onClick={handleDismiss}>
+                {t('plugins.installProgress.dismiss')}
+              </Button>
+            )}
+          <Button variant="default" size="sm" onClick={handleClose}>
             {selectedTask?.stage === InstallStage.DONE ||
             selectedTask?.stage === InstallStage.ERROR
               ? t('common.close')

web/src/app/home/plugins/components/plugin-installed/PluginCardVO.ts

@@ -14,7 +14,6 @@ export interface IPluginCardVO {
   components: PluginComponent[];
   debug: boolean;
   hasUpdate?: boolean;
-  type?: 'plugin' | 'mcp' | 'skill';
 }
 
 export class PluginCardVO implements IPluginCardVO {
@@ -31,7 +30,6 @@ export class PluginCardVO implements IPluginCardVO {
   status: string;
   components: PluginComponent[];
   hasUpdate?: boolean;
-  type?: 'plugin' | 'mcp' | 'skill';
 
   constructor(prop: IPluginCardVO) {
     this.author = prop.author;
@@ -47,6 +45,5 @@ export class PluginCardVO implements IPluginCardVO {
     this.install_source = prop.install_source;
     this.install_info = prop.install_info;
     this.hasUpdate = prop.hasUpdate;
-    this.type = prop.type;
   }
 }

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

@@ -88,8 +88,6 @@ const PluginInstalledComponent = forwardRef<PluginInstalledComponentRef>(
 
         // 转换并比较版本号
         const pluginCards = installedPlugins.map((plugin) => {
-          const marketplaceKey = `${plugin.manifest.manifest.metadata.author}/${plugin.manifest.manifest.metadata.name}`;
-          const marketplacePlugin = marketplacePluginMap.get(marketplaceKey);
           const cardVO = new PluginCardVO({
             author: plugin.manifest.manifest.metadata.author ?? '',
             label: extractI18nObject(plugin.manifest.manifest.metadata.label),
@@ -108,12 +106,13 @@ const PluginInstalledComponent = forwardRef<PluginInstalledComponentRef>(
             priority: plugin.priority,
             install_source: plugin.install_source,
             install_info: plugin.install_info,
-            type: marketplacePlugin?.type,
           });
 
           // 检查是否来自市场且有更新
-          if (cardVO.install_source === 'marketplace' && marketplacePlugin) {
-            if (marketplacePlugin.latest_version) {
+          if (cardVO.install_source === 'marketplace') {
+            const marketplaceKey = `${cardVO.author}/${cardVO.name}`;
+            const marketplacePlugin = marketplacePluginMap.get(marketplaceKey);
+            if (marketplacePlugin && marketplacePlugin.latest_version) {
               cardVO.hasUpdate = isNewerVersion(
                 marketplacePlugin.latest_version,
                 cardVO.version,

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

@@ -60,24 +60,6 @@ export default function PluginCardComponent({
                   >
                     v{cardVO.version}
                   </Badge>
-                  {cardVO.type && (
-                    <Badge
-                      variant="outline"
-                      className={`text-[0.7rem] flex-shrink-0 ${
-                        cardVO.type === 'mcp'
-                          ? 'border-sky-500 text-sky-600 dark:border-sky-400 dark:text-sky-300'
-                          : cardVO.type === 'skill'
-                          ? 'border-emerald-500 text-emerald-600 dark:border-emerald-400 dark:text-emerald-300'
-                          : 'border-violet-500 text-violet-600 dark:border-violet-400 dark:text-violet-300'
-                      }`}
-                    >
-                      {cardVO.type === 'mcp'
-                        ? 'MCP'
-                        : cardVO.type === 'skill'
-                        ? t('common.skill')
-                        : t('market.typePlugin')}
-                    </Badge>
-                  )}
                   {cardVO.debug && (
                     <Badge
                       variant="outline"

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

@@ -1,77 +0,0 @@
-import { Fragment } from 'react';
-import { TFunction } from 'i18next';
-import { Wrench, AudioWaveform, Hash, Book, FileText } from 'lucide-react';
-import { Badge } from '@/components/ui/badge';
-
-export default function PluginComponentList({
-  components,
-  showComponentName,
-  showTitle,
-  useBadge,
-  t,
-  responsive = false,
-}: {
-  components: Record<string, number>;
-  showComponentName: boolean;
-  showTitle: boolean;
-  useBadge: boolean;
-  t: TFunction;
-  responsive?: boolean;
-}) {
-  const kindIconMap: Record<string, React.ReactNode> = {
-    Tool: <Wrench className="w-5 h-5" />,
-    EventListener: <AudioWaveform className="w-5 h-5" />,
-    Command: <Hash className="w-5 h-5" />,
-    KnowledgeEngine: <Book className="w-5 h-5" />,
-    Parser: <FileText className="w-5 h-5" />,
-  };
-
-  const componentKindList = Object.keys(components || {});
-
-  return (
-    <>
-      {showTitle && <div>{t('market.componentsList')}</div>}
-      {componentKindList.length > 0 && (
-        <>
-          {componentKindList.map((kind) => {
-            return (
-              <Fragment key={kind}>
-                {useBadge && (
-                  <Badge variant="outline" className="flex items-center gap-1">
-                    {kindIconMap[kind]}
-                    {responsive ? (
-                      <span className="hidden md:inline">
-                        {t('market.componentName.' + kind)}
-                      </span>
-                    ) : (
-                      showComponentName && t('market.componentName.' + kind)
-                    )}
-                    <span className="ml-1">{components[kind]}</span>
-                  </Badge>
-                )}
-
-                {!useBadge && (
-                  <div
-                    className="flex flex-row items-center justify-start gap-[0.2rem]"
-                  >
-                    {kindIconMap[kind]}
-                    {responsive ? (
-                      <span className="hidden md:inline">
-                        {t('market.componentName.' + kind)}
-                      </span>
-                    ) : (
-                      showComponentName && t('market.componentName.' + kind)
-                    )}
-                    <span className="ml-1">{components[kind]}</span>
-                  </div>
-                )}
-              </Fragment>
-            );
-          })}
-        </>
-      )}
-
-      {componentKindList.length === 0 && <div>{t('market.noComponents')}</div>}
-    </>
-  );
-}