fix(model): preserve UUID when updating LLM and embedding models in runtime

Agent-Logs-Url: https://github.com/langbot-app/LangBot/sessions/ffaa444c-501a-41ef-bf8b-d2cdef3b7625

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

.github/workflows/check-i18n.yml

@@ -0,0 +1,25 @@
+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

@@ -0,0 +1,171 @@
+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.
-- 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.
+- 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.
 
 ## Some Principles
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.9.5"
+version = "4.9.6"
 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>=3.11.18",
+    "aiohttp>=3.13.4",
     "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>=44.0.3",
+    "cryptography>=46.0.7",
     "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>=11.2.1",
+    "pillow>=12.2.0",
     "psutil>=7.0.0",
     "pycryptodome>=3.22.0",
     "pydantic>2.0",
@@ -39,6 +39,7 @@ 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",
@@ -49,7 +50,7 @@ dependencies = [
     "pip>=25.1.1",
     "ruff>=0.11.9",
     "pre-commit>=4.2.0",
-    "uv>=0.7.11",
+    "uv>=0.11.6",
     "mypy>=1.16.0",
     "PyPDF2>=3.0.1",
     "python-docx>=1.1.0",
@@ -60,11 +61,15 @@ dependencies = [
     "ebooklib>=0.18",
     "html2text>=2024.2.26",
     "langchain>=0.2.0",
-    "langchain-text-splitters>=0.0.1",
+    "langchain-core>=1.2.28",
+    "langsmith>=0.7.31",
+    "python-multipart>=0.0.26",
+    "Mako>=1.3.11",
+    "langchain-text-splitters>=1.1.2",
     "chromadb>=1.0.0,<2.0.0",
     "qdrant-client (>=1.15.1,<2.0.0)",
     "pyseekdb==1.1.0.post3",
-    "langbot-plugin==0.3.7",
+    "langbot-plugin==0.3.8",
     "asyncpg>=0.30.0",
     "line-bot-sdk>=3.19.0",
     "tboxsdk>=0.0.10",
@@ -111,12 +116,12 @@ 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/**"] }
+package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/dist/**", "pkg/persistence/alembic/**"] }
 
 [dependency-groups]
 dev = [
     "pre-commit>=4.2.0",
-    "pytest>=8.4.1",
+    "pytest>=9.0.3",
     "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__ = '4.9.5'
+__version__ = '4.9.6'

src/langbot/libs/dingtalk_api/api.py

@@ -182,6 +182,88 @@ 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))
@@ -193,6 +275,15 @@ 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()
 
@@ -268,7 +359,25 @@ class DingTalkClient:
 
                 message_data['Type'] = 'image'
             elif incoming_message.message_type == 'audio':
-                message_data['Audio'] = await self.get_audio_url(incoming_message.to_dict()['content']['downloadCode'])
+                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['Type'] = 'audio'
             elif incoming_message.message_type == 'file':

src/langbot/libs/dingtalk_api/dingtalkevent.py

@@ -47,6 +47,22 @@ 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

@@ -71,6 +71,11 @@ 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
 
@@ -214,11 +219,17 @@ 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。"""
+        """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。
+        """
         now = time.time()
         expired: list[str] = []
         for stream_id, session in self._sessions.items():
-            if now - session.last_access > self.ttl:
+            # 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:
                 expired.append(stream_id)
 
         for stream_id in expired:
@@ -228,6 +239,9 @@ 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:
@@ -592,6 +606,120 @@ 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
 
 
@@ -903,35 +1031,38 @@ 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')
+                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())
 
         except Exception:
             await self.logger.error(traceback.format_exc())

src/langbot/libs/wecom_ai_bot_api/wecombotevent.py

@@ -147,3 +147,10 @@ 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

@@ -1,97 +0,0 @@
-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/providers.py

@@ -43,3 +43,12 @@ 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

@@ -105,23 +105,24 @@ class HTTPController:
             ):
                 if os.path.exists(os.path.join(frontend_path, path + '.html')):
                     path += '.html'
-                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('/')
+                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
 
-                    # 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
+                    # Fallback to index.html for SPA client-side routing
                     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

@@ -1,314 +0,0 @@
-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

@@ -173,7 +173,7 @@ class LLMModelsService:
             raise Exception('provider not found')
 
         runtime_llm_model = await self.ap.model_mgr.load_llm_model_with_provider(
-            persistence_model.LLMModel(**model_data),
+            persistence_model.LLMModel(uuid=model_uuid, **model_data),
             runtime_provider,
         )
         self.ap.model_mgr.llm_models.append(runtime_llm_model)
@@ -334,7 +334,7 @@ class EmbeddingModelsService:
             raise Exception('provider not found')
 
         runtime_embedding_model = await self.ap.model_mgr.load_embedding_model_with_provider(
-            persistence_model.EmbeddingModel(**model_data),
+            persistence_model.EmbeddingModel(uuid=model_uuid, **model_data),
             runtime_provider,
         )
         self.ap.model_mgr.embedding_models.append(runtime_embedding_model)

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

@@ -1224,30 +1224,83 @@ class MonitoringService:
         """
         import json
 
-        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,
-        }
+        now = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
+        reasons_json = json.dumps(inaccurate_reasons, ensure_ascii=False) if inaccurate_reasons else None
 
-        await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.insert(persistence_monitoring.MonitoringFeedback).values(record_data)
+        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)
         )
+        existing_row = existing_result.first()
 
-        return record_id
+        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
 
     async def get_feedback_stats(
         self,

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

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import uuid
+import traceback
 
 import sqlalchemy
 
@@ -164,3 +165,66 @@ 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 is a Space account
-        if user_obj.account_type == 'space':
+        # Check if this user has a local password set
+        if not user_obj.password:
             raise ValueError('请使用 Space 账户登录')
 
         ph = argon2.PasswordHasher()
@@ -108,9 +108,8 @@ class UserService:
         if user_obj is None:
             raise ValueError('User not found')
 
-        # Space accounts cannot change password locally
-        if user_obj.account_type == 'space':
-            raise ValueError('Space account cannot change password locally')
+        if not user_obj.password:
+            raise ValueError('No local password set, please set a password first')
 
         ph.verify(user_obj.password, current_password)
 

src/langbot/pkg/core/app.py

@@ -31,7 +31,6 @@ from ..api.http.service import mcp as mcp_service
 from ..api.http.service import apikey as apikey_service
 from ..api.http.service import webhook as webhook_service
 from ..api.http.service import monitoring as monitoring_service
-from ..api.http.service import human_takeover as human_takeover_service
 
 from ..discover import engine as discover_engine
 from ..storage import mgr as storagemgr
@@ -154,8 +153,6 @@ 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

@@ -28,7 +28,6 @@ from ...api.http.service import mcp as mcp_service
 from ...api.http.service import apikey as apikey_service
 from ...api.http.service import webhook as webhook_service
 from ...api.http.service import monitoring as monitoring_service
-from ...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
@@ -165,10 +164,6 @@ 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

@@ -1,36 +0,0 @@
-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/persistence/alembic/env.py

@@ -0,0 +1,51 @@
+"""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

@@ -0,0 +1,24 @@
+# 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

@@ -0,0 +1,24 @@
+"""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

@@ -0,0 +1,62 @@
+"""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_runner.py

@@ -0,0 +1,150 @@
+"""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

@@ -76,6 +76,9 @@ 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):
@@ -135,6 +138,28 @@ 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

@@ -1,36 +0,0 @@
-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

@@ -297,6 +297,9 @@ 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

@@ -160,7 +160,6 @@ 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:
@@ -172,6 +171,15 @@ 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

@@ -208,6 +208,7 @@ 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

@@ -220,47 +220,6 @@ 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'):
@@ -322,50 +281,6 @@ 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

@@ -71,7 +71,8 @@ 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
-            if event.content:
+            # 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':
                 text_content = event.content.replace('@' + bot_name, '')
                 yiri_msg_list.append(platform_message.Plain(text=text_content))
             if event.picture:
@@ -81,7 +82,38 @@ 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:
-            yiri_msg_list.append(platform_message.Voice(base64=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"]}'))
 
         chain = platform_message.MessageChain(yiri_msg_list)
 

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

@@ -709,21 +709,29 @@ 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_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,
-                        )
-                    )
+                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}'))
 
         if event.event.message.chat_type == 'p2p':
             return platform_events.FriendMessage(
@@ -779,6 +787,13 @@ 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
@@ -825,6 +840,11 @@ 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,
@@ -832,6 +852,7 @@ 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,
                 )
 
@@ -870,6 +891,8 @@ 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,
@@ -1010,6 +1033,22 @@ 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......')
@@ -1249,6 +1288,18 @@ 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(
@@ -1559,6 +1610,11 @@ 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,
@@ -1566,6 +1622,7 @@ 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

@@ -1,6 +1,7 @@
 from __future__ import annotations
 import typing
 import asyncio
+import time
 import traceback
 
 import datetime
@@ -126,6 +127,107 @@ 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
         )
@@ -192,6 +294,8 @@ 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)
@@ -228,8 +332,9 @@ 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,
@@ -321,6 +426,23 @@ 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:
@@ -328,6 +450,9 @@ 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
@@ -343,6 +468,11 @@ 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}'
@@ -356,7 +486,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                 user_id=user_id,
                 session_id=session_id,
                 message_id=message_id,
-                stream_id=stream_id,
+                stream_id=monitoring_msg_id or stream_id,
                 source_platform_object=session,
             )
 

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

@@ -227,7 +227,8 @@ 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()
 

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

@@ -303,6 +303,14 @@ 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,

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

@@ -31,6 +31,192 @@ 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,

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

@@ -0,0 +1,7 @@
+<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="#7B68EE"/>
+  <circle cx="12" cy="12" r="6" fill="#FF6B35"/>
+  <circle cx="12" cy="12" r="3" fill="#7B68EE"/>
+  <path d="M12 6V18" stroke="#FFF" stroke-width="1.5" stroke-linecap="round"/>
+  <path d="M6 12H18" stroke="#FFF" stroke-width="1.5" stroke-linecap="round"/>
+</svg>

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

@@ -0,0 +1,61 @@
+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

@@ -0,0 +1,21 @@
+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/geminichatcmpl.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import typing
+import httpx
 
 from . import chatcmpl
 
@@ -20,6 +21,68 @@ 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/modelscopechatcmpl.py

@@ -31,6 +31,175 @@ 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

@@ -8,6 +8,7 @@ import uuid
 import json
 
 import ollama
+import httpx
 
 from .. import errors, requester
 import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
@@ -31,6 +32,60 @@ 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,
@@ -104,6 +159,21 @@ 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,
@@ -113,14 +183,7 @@ class OllamaChatCompletions(requester.ProviderAPIRequester):
         extra_args: dict[str, typing.Any] = {},
         remove_think: bool = False,
     ) -> provider_message.Message:
-        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)
+        req_messages = await self._prepare_messages(messages)
         try:
             return await self._closure(
                 query=query,
@@ -133,6 +196,109 @@ 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

@@ -15,3 +15,11 @@ 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/seekdbembed.py

@@ -46,14 +46,15 @@ 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:
-            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)
+            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
         except Exception as e:
             from .. import errors
 

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', [])
+                stream_think = stream_output.get('thoughts') or []
                 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 (not stream_think or stream_think[0].get('thought') == '') and not think_end:
+                elif think_start and (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', [])
-                if stream_think[0].get('thought'):
+                stream_think = stream_output.get('thoughts') or []
+                if stream_think and 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 stream_think[0].get('thought') == '' and not think_end:
+                elif think_start and (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:

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

@@ -70,11 +70,12 @@ class N8nServiceAPIRunner(runner.RequestRunner):
 
         return plain_text
 
-    async def _process_stream_response(
+    async def _process_response(
         self, response: aiohttp.ClientResponse
     ) -> typing.AsyncGenerator[provider_message.Message, None]:
-        """处理流式响应——支持部分 JSON 和多个 JSON 对象在同一 chunk 的情况"""
+        """处理响应——支持流式格式和普通 JSON 格式"""
         full_content = ''
+        full_text = ''
         chunk_idx = 0
         is_final = False
         message_idx = 0
@@ -93,6 +94,7 @@ 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）
@@ -115,7 +117,7 @@ class N8nServiceAPIRunner(runner.RequestRunner):
                         elif obj.get('type') == 'end':
                             is_final = True
 
-                        if is_final or chunk_idx % 8 == 0:
+                        if is_final or (chunk_idx > 0 and chunk_idx % 8 == 0):
                             message_idx += 1
                             yield provider_message.MessageChunk(
                                 role='assistant',
@@ -142,6 +144,7 @@ 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
@@ -156,6 +159,28 @@ 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）
@@ -220,49 +245,22 @@ class N8nServiceAPIRunner(runner.RequestRunner):
 
             # 调用webhook
             session = httpclient.get_session()
-            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 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}')
 
-                    # 处理流式响应
-                    async for chunk in self._process_stream_response(response):
+                async for chunk in self._process_response(response):
+                    if is_stream:
                         yield chunk
-            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,
-                    )
+                    elif chunk.is_final:
+                        yield provider_message.Message(
+                            role='assistant',
+                            content=chunk.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

@@ -60,7 +60,16 @@ class TelemetryManager:
                     except Exception:
                         sanitized['query_id'] = str(sanitized.get('query_id', ''))
 
-                for sfield in ('adapter', 'runner', 'runner_category', 'model_name', 'version', 'error', 'timestamp'):
+                for sfield in (
+                    'adapter',
+                    'runner',
+                    'runner_category',
+                    'model_name',
+                    'version',
+                    'edition',
+                    '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 = 26
+required_database_version = 25
 """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

@@ -2,11 +2,6 @@ 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:
@@ -22,17 +17,25 @@ 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')
@@ -42,6 +45,8 @@ 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')
@@ -60,9 +65,13 @@ 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

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

tests/unit_tests/pipeline/test_n8nsvapi.py

@@ -0,0 +1,328 @@
+"""
+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

@@ -55,7 +55,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.13.3"
+version = "3.13.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
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     { name = "propcache" },
     { name = "yarl" },
 ]
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@@ -1860,9 +1875,12 @@ dependencies = [
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+    { name = "langchain-core" },
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 ]
 
 [[package]]

web/index.html

@@ -1,10 +1,13 @@
-<!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": "^1.13.5",
+    "axios": "^1.15.0",
     "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": "^4.17.23",
+    "lodash": "^4.18.0",
     "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": "^8.0.3",
+    "vite": "^8.0.5",
     "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@8.0.3)
+    version: 6.0.1(vite@8.0.8)
   axios:
-    specifier: ^1.13.5
-    version: 1.13.5
+    specifier: ^1.15.0
+    version: 1.15.0
   class-variance-authority:
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     version: 0.7.1
@@ -111,8 +111,8 @@ dependencies:
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     version: 1.4.2(react-dom@19.2.1)(react@19.2.1)
   lodash:
-    specifier: ^4.17.23
-    version: 4.17.23
+    specifier: ^4.18.0
+    version: 4.18.1
   lucide-react:
     specifier: ^0.507.0
     version: 0.507.0(react@19.2.1)
@@ -180,8 +180,8 @@ dependencies:
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     version: 5.1.0
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-    specifier: ^8.0.3
-    version: 8.0.3(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1)(@types/node@20.19.30)
+    specifier: ^8.0.5
+    version: 8.0.8(@types/node@20.19.30)
   zod:
     specifier: ^3.24.4
     version: 3.25.76
@@ -312,25 +312,25 @@ packages:
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     dev: false
     optional: true
 
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+  /@emnapi/runtime@1.9.2:
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     optional: true
 
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+  /@napi-rs/wasm-runtime@1.1.4(@emnapi/core@1.9.2)(@emnapi/runtime@1.9.2):
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     requiresBuild: true
     peerDependencies:
       '@emnapi/core': ^1.7.1
       '@emnapi/runtime': ^1.7.1
     dependencies:
-      '@emnapi/core': 1.8.1
-      '@emnapi/runtime': 1.8.1
+      '@emnapi/core': 1.9.2
+      '@emnapi/runtime': 1.9.2
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     dev: false
     optional: true
 
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     cpu: [arm64]
     os: [android]
@@ -1571,8 +1571,8 @@ packages:
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     optional: true
 
-  /@rolldown/binding-darwin-arm64@1.0.0-rc.12:
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+  /@rolldown/binding-darwin-arm64@1.0.0-rc.15:
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     os: [darwin]
@@ -1580,8 +1580,8 @@ packages:
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     optional: true
 
-  /@rolldown/binding-darwin-x64@1.0.0-rc.12:
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+  /@rolldown/binding-darwin-x64@1.0.0-rc.15:
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     os: [darwin]
@@ -1589,8 +1589,8 @@ packages:
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+  /@rolldown/binding-freebsd-x64@1.0.0-rc.15:
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     cpu: [x64]
     os: [freebsd]
@@ -1598,8 +1598,8 @@ packages:
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+  /@rolldown/binding-linux-arm-gnueabihf@1.0.0-rc.15:
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@@ -1616,8 +1616,8 @@ packages:
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     optional: true
 
-  /@rolldown/binding-linux-arm64-musl@1.0.0-rc.12:
-    resolution: {integrity: sha512-V6/wZztnBqlx5hJQqNWwFdxIKN0m38p8Jas+VoSfgH54HSj9tKTt1dZvG6JRHcjh6D7TvrJPWFGaY9UBVOaWPw==}
+  /@rolldown/binding-linux-arm64-musl@1.0.0-rc.15:
+    resolution: {integrity: sha512-ZvRYMGrAklV9PEkgt4LQM6MjQX2P58HPAuecwYObY2DhS2t35R0I810bKi0wmaYORt6m/2Sm+Z+nFgb0WhXNcQ==}
     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.12:
-    resolution: {integrity: sha512-AP3E9BpcUYliZCxa3w5Kwj9OtEVDYK6sVoUzy4vTOJsjPOgdaJZKFmN4oOlX0Wp0RPV2ETfmIra9x1xuayFB7g==}
+  /@rolldown/binding-linux-ppc64-gnu@1.0.0-rc.15:
+    resolution: {integrity: sha512-VDpgGBzgfg5hLg+uBpCLoFG5kVvEyafmfxGUV0UHLcL5irxAK7PKNeC2MwClgk6ZAiNhmo9FLhRYgvMmedLtnQ==}
     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.12:
-    resolution: {integrity: sha512-nWwpvUSPkoFmZo0kQazZYOrT7J5DGOJ/+QHHzjvNlooDZED8oH82Yg67HvehPPLAg5fUff7TfWFHQS8IV1n3og==}
+  /@rolldown/binding-linux-s390x-gnu@1.0.0-rc.15:
+    resolution: {integrity: sha512-y1uXY3qQWCzcPgRJATPSOUP4tCemh4uBdY7e3EZbVwCJTY3gLJWnQABgeUetvED+bt1FQ01OeZwvhLS2bpNrAQ==}
     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.12:
-    resolution: {integrity: sha512-RNrafz5bcwRy+O9e6P8Z/OCAJW/A+qtBczIqVYwTs14pf4iV1/+eKEjdOUta93q2TsT/FI0XYDP3TCky38LMAg==}
+  /@rolldown/binding-linux-x64-gnu@1.0.0-rc.15:
+    resolution: {integrity: sha512-023bTPBod7J3Y/4fzAN6QtpkSABR0rigtrwaP+qSEabUh5zf6ELr9Nc7GujaROuPY3uwdSIXWrvhn1KxOvurWA==}
     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.12:
-    resolution: {integrity: sha512-Jpw/0iwoKWx3LJ2rc1yjFrj+T7iHZn2JDg1Yny1ma0luviFS4mhAIcd1LFNxK3EYu3DHWCps0ydXQ5i/rrJ2ig==}
+  /@rolldown/binding-linux-x64-musl@1.0.0-rc.15:
+    resolution: {integrity: sha512-witB2O0/hU4CgfOOKUoeFgQ4GktPi1eEbAhaLAIpgD6+ZnhcPkUtPsoKKHRzmOoWPZue46IThdSgdo4XneOLYw==}
     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.12:
-    resolution: {integrity: sha512-vRugONE4yMfVn0+7lUKdKvN4D5YusEiPilaoO2sgUWpCvrncvWgPMzK00ZFFJuiPgLwgFNP5eSiUlv2tfc+lpA==}
+  /@rolldown/binding-openharmony-arm64@1.0.0-rc.15:
+    resolution: {integrity: sha512-UCL68NJ0Ud5zRipXZE9dF5PmirzJE4E4BCIOOssEnM7wLDsxjc6Qb0sGDxTNRTP53I6MZpygyCpY8Aa8sPfKPg==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [arm64]
     os: [openharmony]
@@ -1670,21 +1670,20 @@ packages:
     dev: false
     optional: true
 
-  /@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==}
+  /@rolldown/binding-wasm32-wasi@1.0.0-rc.15:
+    resolution: {integrity: sha512-ApLruZq/ig+nhaE7OJm4lDjayUnOHVUa77zGeqnqZ9pn0ovdVbbNPerVibLXDmWeUZXjIYIT8V3xkT58Rm9u5Q==}
     engines: {node: '>=14.0.0'}
     cpu: [wasm32]
     requiresBuild: true
     dependencies:
-      '@napi-rs/wasm-runtime': 1.1.2(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1)
-    transitivePeerDependencies:
-      - '@emnapi/core'
-      - '@emnapi/runtime'
+      '@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)
     dev: false
     optional: true
 
-  /@rolldown/binding-win32-arm64-msvc@1.0.0-rc.12:
-    resolution: {integrity: sha512-5eOND4duWkwx1AzCxadcOrNeighiLwMInEADT0YM7xeEOOFcovWZCq8dadXgcRHSf3Ulh1kFo/qvzoFiCLOL1Q==}
+  /@rolldown/binding-win32-arm64-msvc@1.0.0-rc.15:
+    resolution: {integrity: sha512-KmoUoU7HnN+Si5YWJigfTws1jz1bKBYDQKdbLspz0UaqjjFkddHsqorgiW1mxcAj88lYUE6NC/zJNwT+SloqtA==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [arm64]
     os: [win32]
@@ -1692,8 +1691,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/binding-win32-x64-msvc@1.0.0-rc.12:
-    resolution: {integrity: sha512-PyqoipaswDLAZtot351MLhrlrh6lcZPo2LSYE+VDxbVk24LVKAGOuE4hb8xZQmrPAuEtTZW8E6D2zc5EUZX4Lw==}
+  /@rolldown/binding-win32-x64-msvc@1.0.0-rc.15:
+    resolution: {integrity: sha512-3P2A8L+x75qavWLe/Dll3EYBJLQmtkJN8rfh+U/eR3MqMgL/h98PhYI+JFfXuDPgPeCB7iZAKiqii5vqOvnA0g==}
     engines: {node: ^20.19.0 || >=22.12.0}
     cpu: [x64]
     os: [win32]
@@ -1701,8 +1700,8 @@ packages:
     dev: false
     optional: true
 
-  /@rolldown/pluginutils@1.0.0-rc.12:
-    resolution: {integrity: sha512-HHMwmarRKvoFsJorqYlFeFRzXZqCt2ETQlEDOb9aqssrnVBB1/+xgTGtuTrIk5vzLNX1MjMtTf7W9z3tsSbrxw==}
+  /@rolldown/pluginutils@1.0.0-rc.15:
+    resolution: {integrity: sha512-UromN0peaE53IaBRe9W7CjrZgXl90fqGpK+mIZbA3qSTeYqg3pqpROBdIPvOG3F5ereDHNwoHBI2e50n1BDr1g==}
     dev: false
 
   /@rolldown/pluginutils@1.0.0-rc.7:
@@ -2156,7 +2155,7 @@ packages:
     resolution: {integrity: sha512-WmoN8qaIAo7WTYWbAZuG8PYEhn5fkz7dZrqTBZ7dtt//lL2Gwms1IcnQ5yHqjDfX8Ft5j4YzDM23f87zBfDe9g==}
     dev: false
 
-  /@vitejs/plugin-react@6.0.1(vite@8.0.3):
+  /@vitejs/plugin-react@6.0.1(vite@8.0.8):
     resolution: {integrity: sha512-l9X/E3cDb+xY3SWzlG1MOGt2usfEHGMNIaegaUGFsLkb3RCn/k8/TOXBcab+OndDI4TBtktT8/9BwwW8Vi9KUQ==}
     engines: {node: ^20.19.0 || >=22.12.0}
     peerDependencies:
@@ -2170,7 +2169,7 @@ packages:
         optional: true
     dependencies:
       '@rolldown/pluginutils': 1.0.0-rc.7
-      vite: 8.0.3(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1)(@types/node@20.19.30)
+      vite: 8.0.8(@types/node@20.19.30)
     dev: false
 
   /acorn-jsx@5.3.2(acorn@8.15.0):
@@ -2329,12 +2328,12 @@ packages:
       possible-typed-array-names: 1.1.0
     dev: true
 
-  /axios@1.13.5:
-    resolution: {integrity: sha512-cz4ur7Vb0xS4/KUN0tPWe44eqxrIu31me+fbang3ijiNscE129POzipJJA6zniq2C/Z6sJCjMimjS8Lc/GAs8Q==}
+  /axios@1.15.0:
+    resolution: {integrity: sha512-wWyJDlAatxk30ZJer+GeCWS209sA42X+N5jU2jy6oHTp7ufw8uzUTVFBX9+wTfAlhiJXGS0Bq7X6efruWjuK9Q==}
     dependencies:
       follow-redirects: 1.15.11
       form-data: 4.0.5
-      proxy-from-env: 1.1.0
+      proxy-from-env: 2.1.0
     transitivePeerDependencies:
       - debug
     dev: false
@@ -4148,8 +4147,8 @@ packages:
     resolution: {integrity: sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ==}
     dev: true
 
-  /lodash@4.17.23:
-    resolution: {integrity: sha512-LgVTMpQtIopCi79SJeDiP0TfWi5CNEc/L/aRdTh3yIvmZXTnheWpKjSZhnvMl8iXbC1tFg9gdHHDMLoV7CnG+w==}
+  /lodash@4.18.1:
+    resolution: {integrity: sha512-dMInicTPVE8d1e5otfwmmjlxkZoUpiVLwyeTdUsi/Caj/gfzzblBcCE5sRHV/AsjuCmxWrte2TNGSYuCeCq+0Q==}
     dev: false
 
   /log-update@6.1.0:
@@ -4958,8 +4957,9 @@ packages:
     resolution: {integrity: sha512-TwEZ+X+yCJmYfL7TPUOcvBZ4QfoT5YenQiJuX//0th53DE6w0xxLEtfK3iyryQFddXuvkIk51EEgrJQ0WJkOmQ==}
     dev: false
 
-  /proxy-from-env@1.1.0:
-    resolution: {integrity: sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg==}
+  /proxy-from-env@2.1.0:
+    resolution: {integrity: sha512-cJ+oHTW1VAEa8cJslgmUZrc+sjRKgAKl3Zyse6+PV38hZe/V6Z14TbCuXcan9F9ghlz4QrFr2c92TNF82UkYHA==}
+    engines: {node: '>=10'}
     dev: false
 
   /punycode@2.3.1:
@@ -5200,7 +5200,7 @@ packages:
     dependencies:
       clsx: 2.1.1
       eventemitter3: 4.0.7
-      lodash: 4.17.23
+      lodash: 4.18.1
       react: 19.2.1
       react-dom: 19.2.1(react@19.2.1)
       react-is: 18.3.1
@@ -5372,32 +5372,29 @@ packages:
     resolution: {integrity: sha512-q1b3N5QkRUWUl7iyylaaj3kOpIT0N2i9MqIEQXP73GVsN9cw3fdx8X63cEmWhJGi2PPCF23Ijp7ktmd39rawIA==}
     dev: true
 
-  /rolldown@1.0.0-rc.12(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1):
-    resolution: {integrity: sha512-yP4USLIMYrwpPHEFB5JGH1uxhcslv6/hL0OyvTuY+3qlOSJvZ7ntYnoWpehBxufkgN0cvXxppuTu5hHa/zPh+A==}
+  /rolldown@1.0.0-rc.15:
+    resolution: {integrity: sha512-Ff31guA5zT6WjnGp0SXw76X6hzGRk/OQq2hE+1lcDe+lJdHSgnSX6nK3erbONHyCbpSj9a9E+uX/OvytZoWp2g==}
     engines: {node: ^20.19.0 || >=22.12.0}
     hasBin: true
     dependencies:
-      '@oxc-project/types': 0.122.0
-      '@rolldown/pluginutils': 1.0.0-rc.12
+      '@oxc-project/types': 0.124.0
+      '@rolldown/pluginutils': 1.0.0-rc.15
     optionalDependencies:
-      '@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'
+      '@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
     dev: false
 
   /safe-array-concat@1.1.3:
@@ -6010,14 +6007,14 @@ packages:
       d3-timer: 3.0.1
     dev: false
 
-  /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==}
+  /vite@8.0.8(@types/node@20.19.30):
+    resolution: {integrity: sha512-dbU7/iLVa8KZALJyLOBOQ88nOXtNG8vxKuOT4I2mD+Ya70KPceF4IAmDsmU0h1Qsn5bPrvsY9HJstCRh3hG6Uw==}
     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
+      esbuild: ^0.27.0 || ^0.28.0
       jiti: '>=1.21.0'
       less: ^4.0.0
       sass: ^1.70.0
@@ -6057,13 +6054,10 @@ packages:
       lightningcss: 1.32.0
       picomatch: 4.0.4
       postcss: 8.5.8
-      rolldown: 1.0.0-rc.12(@emnapi/core@1.8.1)(@emnapi/runtime@1.8.1)
+      rolldown: 1.0.0-rc.15
       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

@@ -0,0 +1,145 @@
+#!/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 */
@@ -74,8 +74,6 @@
   }
 }
 
-
-
 @custom-variant dark (&:is(.dark *));
 
 @theme inline {

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

@@ -10,7 +10,15 @@ 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, UserCheck, Send } from 'lucide-react';
+import {
+  Ban,
+  Bot,
+  Copy,
+  Check,
+  Workflow,
+  ThumbsUp,
+  ThumbsDown,
+} from 'lucide-react';
 import {
   MessageChainComponent,
   Plain,
@@ -54,6 +62,12 @@ 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>;
 }
@@ -75,18 +89,11 @@ 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;
@@ -119,24 +126,6 @@ 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,
     () => ({
@@ -145,61 +134,62 @@ const BotSessionMonitor = forwardRef<
     [loadSessions],
   );
 
-  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(
+  const loadMessages = useCallback(
     async (sessionId: string) => {
+      setLoadingMessages(true);
       try {
-        const response =
-          await httpClient.getHumanTakeoverSessionDetail(sessionId);
-        const isActive =
-          response.found && response.session?.status === 'active';
-        setIsTakenOver(isActive);
-      } catch {
-        setIsTakenOver(false);
+        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);
       }
     },
-    [],
+    [botId],
   );
 
   useEffect(() => {
     loadSessions();
-    loadTakeoverStatus();
-  }, [loadSessions, loadTakeoverStatus]);
+  }, [loadSessions]);
 
   useEffect(() => {
     if (selectedSessionId) {
       loadMessages(selectedSessionId);
-      checkTakeoverStatus(selectedSessionId);
     } else {
       setMessages([]);
-      setIsTakenOver(false);
     }
-  }, [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]);
+  }, [selectedSessionId, loadMessages]);
 
   useEffect(() => {
     if (messages.length === 0) return;
@@ -216,76 +206,6 @@ 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);
@@ -299,16 +219,11 @@ 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,
@@ -374,7 +289,7 @@ const BotSessionMonitor = forwardRef<
               key={index}
               className="inline-flex items-center gap-1 text-muted-foreground text-xs"
             >
-              [Voice]
+              🎙 [Voice]
             </span>
           );
         }
@@ -408,7 +323,7 @@ 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>
         );
       }
@@ -468,22 +383,6 @@ 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 */}
@@ -502,9 +401,6 @@ 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}
@@ -541,12 +437,7 @@ const BotSessionMonitor = forwardRef<
                           {abbreviateId(session.user_id)}
                         </span>
                       )}
-                      {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 && (
+                      {session.is_active && (
                         <span className="flex items-center gap-0.5 text-green-600 dark:text-green-400">
                           <span className="w-1.5 h-1.5 rounded-full bg-green-500 inline-block" />
                         </span>
@@ -570,92 +461,50 @@ const BotSessionMonitor = forwardRef<
           <>
             {/* Chat Header */}
             <div className="px-4 py-2.5 border-b shrink-0">
-              <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 className="min-w-0">
+                <div className="text-sm font-medium truncate">
+                  {selectedSession?.user_name ||
+                    selectedSession?.user_id ||
+                    selectedSessionId.slice(0, 20)}
                 </div>
-                {/* 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 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>
+                    </>
                   )}
                 </div>
               </div>
@@ -676,12 +525,21 @@ const BotSessionMonitor = forwardRef<
                     {t('bots.sessionMonitor.noMessages')}
                   </div>
                 ) : (
-                  messages.map((msg) => {
+                  messages.map((msg, msgIndex) => {
                     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}
@@ -695,9 +553,7 @@ const BotSessionMonitor = forwardRef<
                             'max-w-3xl px-4 py-2.5 rounded-2xl text-sm',
                             isUser
                               ? 'bg-primary/10 rounded-br-sm'
-                              : isOperator
-                                ? 'bg-orange-100/80 dark:bg-orange-900/30 rounded-bl-sm'
-                                : 'bg-muted rounded-bl-sm',
+                              : 'bg-muted rounded-bl-sm',
                             msg.status === 'error' && 'ring-1 ring-red-400/50',
                             isDiscarded && 'opacity-60',
                           )}
@@ -709,13 +565,14 @@ const BotSessionMonitor = forwardRef<
                               'text-[11px] mt-1.5 flex items-center gap-1.5 text-muted-foreground',
                             )}
                           >
-                            <span
-                              className={cn(
-                                isOperator &&
-                                  'text-orange-600 dark:text-orange-400 font-medium',
-                              )}
-                            >
-                              {getMessageRoleLabel(msg)}
+                            <span>
+                              {isUser
+                                ? t('bots.sessionMonitor.userMessage', {
+                                    defaultValue: 'User',
+                                  })
+                                : t('bots.sessionMonitor.botMessage', {
+                                    defaultValue: 'Assistant',
+                                  })}
                             </span>
                             <span className="tabular-nums">
                               {formatTime(msg.timestamp)}
@@ -727,21 +584,12 @@ const BotSessionMonitor = forwardRef<
                                   defaultValue: 'Discarded',
                                 })}
                               </span>
-                            ) : msg.pipeline_name &&
-                              msg.pipeline_name !== 'Human Takeover' ? (
+                            ) : msg.pipeline_name ? (
                               <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>
                             )}
@@ -751,6 +599,30 @@ 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>
@@ -759,33 +631,6 @@ 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/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 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 [@media(hover:hover)]: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 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 [@media(hover:hover)]: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

@@ -16,6 +16,8 @@ import { ProviderCard } from './components';
 import {
   ExtraArg,
   ModelType,
+  ScanModelsResult,
+  SelectedScannedModel,
   TestResult,
   ProviderModels,
   LANGBOT_MODELS_PROVIDER_REQUESTER,
@@ -262,6 +264,60 @@ 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,
@@ -404,6 +460,10 @@ 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

@@ -169,8 +169,6 @@ 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

@@ -1,5 +1,14 @@
-import { useState, useEffect } from 'react';
-import { Plus, MessageSquareText, Cpu, Eye, Wrench, Check } from 'lucide-react';
+import { useState, useEffect, useRef } from 'react';
+import {
+  Plus,
+  MessageSquareText,
+  Cpu,
+  Eye,
+  Wrench,
+  Check,
+  RefreshCw,
+  Search,
+} from 'lucide-react';
 import { Button } from '@/components/ui/button';
 import { Input } from '@/components/ui/input';
 import { Label } from '@/components/ui/label';
@@ -11,7 +20,14 @@ import {
 } from '@/components/ui/popover';
 import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { useTranslation } from 'react-i18next';
-import { ExtraArg, ModelType, TestResult } from '../types';
+import { ScannedProviderModel } from '@/app/infra/entities/api';
+import {
+  ExtraArg,
+  ModelType,
+  ScanModelsResult,
+  SelectedScannedModel,
+  TestResult,
+} from '../types';
 import ExtraArgsEditor from './ExtraArgsEditor';
 
 interface AddModelPopoverProps {
@@ -24,6 +40,11 @@ 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,
@@ -41,6 +62,8 @@ export default function AddModelPopover({
   onOpen,
   onClose,
   onAddModel,
+  onScanModels,
+  onAddScannedModels,
   onTestModel,
   isSubmitting,
   isTesting,
@@ -48,22 +71,44 @@ 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(() => {
-    if (isOpen) {
+    const wasOpen = prevIsOpenRef.current;
+    if (isOpen && !wasOpen) {
       setTab('llm');
+      setMode('manual');
       setName('');
       setAbilities([]);
       setExtraArgs([]);
+      setScanLoading(false);
+      setScannedModels([]);
+      setSelectedScannedModels({});
+      setScanQuery('');
       onResetTestResult();
     }
-  }, [isOpen]);
+    prevIsOpenRef.current = isOpen;
+  }, [isOpen, onResetTestResult]);
+
+  useEffect(() => {
+    setScannedModels([]);
+    setSelectedScannedModels({});
+    setScanQuery('');
+  }, [tab, mode]);
 
   const handleAdd = async () => {
     await onAddModel(tab, name, abilities, extraArgs);
@@ -73,6 +118,50 @@ 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]);
@@ -81,6 +170,76 @@ 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}
@@ -98,8 +257,11 @@ export default function AddModelPopover({
         </Button>
       </PopoverTrigger>
       <PopoverContent
-        className="w-80"
+        className="w-[min(24rem,calc(100vw-2rem))] max-h-[calc(100vh-8rem)] overflow-y-auto"
         align="end"
+        side="left"
+        sideOffset={8}
+        collisionPadding={16}
         onClick={(e) => e.stopPropagation()}
       >
         <Tabs value={tab} onValueChange={(v) => setTab(v as ModelType)}>
@@ -114,116 +276,260 @@ export default function AddModelPopover({
             </TabsTrigger>
           </TabsList>
 
-          <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)
-                    }
+          <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)}
                   />
-                  <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>
+
+                {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} />
+                <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>
               </div>
-            </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>
+            </TabsContent>
 
-          <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')
+            <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>
                 )}
-              </Button>
-            </div>
-          </TabsContent>
+              </div>
+
+              <div
+                className="h-64 overflow-y-auto overscroll-contain rounded-md border"
+                onWheel={(e) => e.stopPropagation()}
+              >
+                <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')
+                                    : t('models.embedding')}
+                              </div>
+                            </div>
+                          </div>
+
+                          {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>
         </Tabs>
       </PopoverContent>
     </Popover>

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

@@ -24,7 +24,14 @@ 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, TestResult, ProviderModels } from '../types';
+import {
+  ExtraArg,
+  ModelType,
+  ScanModelsResult,
+  SelectedScannedModel,
+  TestResult,
+  ProviderModels,
+} from '../types';
 import ModelItem from './ModelItem';
 import AddModelPopover from './AddModelPopover';
 
@@ -53,6 +60,11 @@ 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: (
@@ -101,6 +113,8 @@ export default function ProviderCard({
   onOpenAddModel,
   onCloseAddModel,
   onAddModel,
+  onScanModels,
+  onAddScannedModels,
   onOpenEditModel,
   onCloseEditModel,
   onUpdateModel,
@@ -298,6 +312,8 @@ export default function ProviderCard({
                 onOpen={onOpenAddModel}
                 onClose={onCloseAddModel}
                 onAddModel={onAddModel}
+                onScanModels={onScanModels}
+                onAddScannedModels={onAddScannedModels}
                 onTestModel={onTestModel}
                 isSubmitting={isSubmitting}
                 isTesting={isTesting}

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

@@ -2,6 +2,8 @@ import {
   LLMModel,
   EmbeddingModel,
   ModelProvider,
+  ProviderScanDebugInfo,
+  ScannedProviderModel,
 } from '@/app/infra/entities/api';
 
 export type ExtraArg = {
@@ -22,6 +24,16 @@ 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;
@@ -75,6 +87,11 @@ 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

@@ -1,4 +1,5 @@
 import React, { useCallback, useEffect, useState } from 'react';
+import { Link } from 'react-router-dom';
 import { Card, CardContent } from '@/components/ui/card';
 import {
   Select,
@@ -219,6 +220,12 @@ 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

@@ -7,6 +7,7 @@ import {
   AlertCircle,
   Users,
   Layers,
+  ThumbsUp,
 } from 'lucide-react';
 import { Button } from '@/components/ui/button';
 import {
@@ -25,7 +26,8 @@ export type ExportType =
   | 'llm-calls'
   | 'embedding-calls'
   | 'errors'
-  | 'sessions';
+  | 'sessions'
+  | 'feedback';
 
 interface ExportDropdownProps {
   filterState: FilterState;
@@ -162,6 +164,11 @@ 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

@@ -127,6 +127,20 @@ 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 && (
@@ -221,21 +235,8 @@ 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 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 className="font-medium text-gray-900 dark:text-white truncate">
+                          {item.messageId}
                         </div>
                       </div>
                     )}

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

@@ -1,6 +1,7 @@
 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[];
@@ -142,7 +143,7 @@ export function useFeedbackData(params: UseFeedbackDataParams = {}) {
         const transformedFeedback: FeedbackRecord[] = result.feedback.map(
           (item) => ({
             id: item.id,
-            timestamp: new Date(item.timestamp),
+            timestamp: parseUTCTimestamp(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 } from 'react';
+import React, { Suspense, useState, useMemo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { Button } from '@/components/ui/button';
@@ -69,6 +69,9 @@ 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();
@@ -106,7 +109,8 @@ function MonitoringPageContent() {
       startTime: startTime?.toISOString(),
       endTime: endTime.toISOString(),
     };
-  }, [filterState.timeRange, filterState.customDateRange]);
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [filterState.timeRange, filterState.customDateRange, feedbackRefreshKey]);
 
   // Feedback data hook
   const {
@@ -127,6 +131,12 @@ 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,
   );
@@ -265,7 +275,7 @@ function MonitoringPageContent() {
               <Button
                 variant="outline"
                 size="sm"
-                onClick={refetch}
+                onClick={handleRefresh}
                 className="shadow-sm flex-shrink-0"
               >
                 <svg

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

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

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

@@ -61,6 +61,34 @@ export interface ApiRespModelProvider {
   provider: ModelProvider;
 }
 
+export interface ScannedProviderModel {
+  id: string;
+  name: string;
+  type: 'llm' | 'embedding';
+  abilities?: string[];
+  display_name?: string;
+  description?: string;
+  context_length?: number | null;
+  owned_by?: string;
+  input_modalities?: string[];
+  output_modalities?: string[];
+  already_added: boolean;
+}
+
+export interface ProviderScanDebugInfo {
+  request?: {
+    method?: string;
+    url?: string;
+    headers?: Record<string, string>;
+  };
+  response?: unknown;
+}
+
+export interface ApiRespScannedProviderModels {
+  models: ScannedProviderModel[];
+  debug?: ProviderScanDebugInfo;
+}
+
 export interface LLMModel {
   uuid: string;
   name: string;

web/src/app/infra/entities/common.ts

@@ -6,6 +6,7 @@ export interface I18nObject {
   th_TH?: string;
   vi_VN?: string;
   es_ES?: string;
+  ru_RU?: string;
 }
 
 export interface ComponentManifest {

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

@@ -37,6 +37,7 @@ import {
   MCPServer,
   ApiRespModelProviders,
   ApiRespModelProvider,
+  ApiRespScannedProviderModels,
   ModelProvider,
   ApiRespKnowledgeEngines,
   ApiRespParsers,
@@ -106,6 +107,14 @@ export class BackendClient extends BaseHttpClient {
     return this.delete(`/api/v1/provider/providers/${uuid}`);
   }
 
+  public scanProviderModels(
+    uuid: string,
+    modelType?: 'llm' | 'embedding',
+  ): Promise<ApiRespScannedProviderModels> {
+    const params = modelType ? { type: modelType } : {};
+    return this.get(`/api/v1/provider/providers/${uuid}/scan-models`, params);
+  }
+
   // ============ Provider Model LLM ============
   public getProviderLLMModels(
     providerUuid?: string,
@@ -1036,92 +1045,6 @@ export class BackendClient extends BaseHttpClient {
     return this.get(`/api/v1/monitoring/overview?${queryParams.toString()}`);
   }
 
-  // ============ Human Takeover API ============
-
-  public getHumanTakeoverSessions(params: {
-    botUuid?: string;
-    limit?: number;
-    offset?: number;
-  }): Promise<{
-    sessions: Array<{
-      id: string;
-      session_id: string;
-      bot_uuid: string;
-      status: string;
-      taken_by: string | null;
-      taken_at: string;
-      released_at: string | null;
-      platform: string | null;
-      user_id: string | null;
-      user_name: string | null;
-    }>;
-    total: number;
-    limit: number;
-    offset: number;
-  }> {
-    const queryParams = new URLSearchParams();
-    if (params.botUuid) queryParams.append('botUuid', params.botUuid);
-    if (params.limit) queryParams.append('limit', params.limit.toString());
-    if (params.offset) queryParams.append('offset', params.offset.toString());
-    return this.get(
-      `/api/v1/human-takeover/sessions?${queryParams.toString()}`,
-    );
-  }
-
-  public getHumanTakeoverSessionDetail(sessionId: string): Promise<{
-    found: boolean;
-    session_id?: string;
-    session?: {
-      id: string;
-      session_id: string;
-      bot_uuid: string;
-      status: string;
-      taken_by: string | null;
-      taken_at: string;
-      released_at: string | null;
-      platform: string | null;
-      user_id: string | null;
-      user_name: string | null;
-    };
-  }> {
-    return this.get(`/api/v1/human-takeover/sessions/${sessionId}`);
-  }
-
-  public takeoverSession(
-    sessionId: string,
-    params: {
-      bot_uuid: string;
-      platform?: string;
-      user_id?: string;
-      user_name?: string;
-    },
-  ): Promise<object> {
-    return this.post(
-      `/api/v1/human-takeover/sessions/${sessionId}/takeover`,
-      params,
-    );
-  }
-
-  public releaseSession(sessionId: string): Promise<object> {
-    return this.post(
-      `/api/v1/human-takeover/sessions/${sessionId}/release`,
-      {},
-    );
-  }
-
-  public sendTakeoverMessage(
-    sessionId: string,
-    message: string,
-  ): Promise<{
-    session_id: string;
-    message_sent: boolean;
-  }> {
-    return this.post(
-      `/api/v1/human-takeover/sessions/${sessionId}/message`,
-      { message },
-    );
-  }
-
   // ============ Survey API ============
   public getSurveyPending(): Promise<{
     survey: {

web/src/components/ui/dialog.tsx

@@ -109,8 +109,11 @@ function DialogOverlay({
 function DialogContent({
   className,
   children,
+  hideCloseButton = false,
   ...props
-}: React.ComponentProps<typeof DialogPrimitive.Content>) {
+}: React.ComponentProps<typeof DialogPrimitive.Content> & {
+  hideCloseButton?: boolean;
+}) {
   return (
     <DialogPortal data-slot="dialog-portal">
       <DialogOverlay />
@@ -123,10 +126,12 @@ function DialogContent({
         {...props}
       >
         {children}
-        <DialogPrimitive.Close className="ring-offset-background focus:ring-ring data-[state=open]:bg-accent data-[state=open]:text-muted-foreground absolute top-4 right-4 rounded-xs opacity-70 transition-opacity hover:opacity-100 focus:ring-2 focus:ring-offset-2 focus:outline-hidden disabled:pointer-events-none [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4">
-          <XIcon />
-          <span className="sr-only">Close</span>
-        </DialogPrimitive.Close>
+        {!hideCloseButton && (
+          <DialogPrimitive.Close className="ring-offset-background focus:ring-ring data-[state=open]:bg-accent data-[state=open]:text-muted-foreground absolute top-4 right-4 rounded-xs opacity-70 transition-opacity hover:opacity-100 focus:ring-2 focus:ring-offset-2 focus:outline-hidden disabled:pointer-events-none [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4">
+            <XIcon />
+            <span className="sr-only">Close</span>
+          </DialogPrimitive.Close>
+        )}
       </DialogPrimitive.Content>
     </DialogPortal>
   );

web/src/components/ui/language-selector.tsx

@@ -46,6 +46,9 @@ export function LanguageSelector({
     } else if (i18n.language === 'es' || i18n.language === 'es-ES') {
       setCurrentLanguage('es-ES');
       localStorage.setItem('langbot_language', 'es-ES');
+    } else if (i18n.language === 'ru' || i18n.language === 'ru-RU') {
+      setCurrentLanguage('ru-RU');
+      localStorage.setItem('langbot_language', 'ru-RU');
     } else {
       setCurrentLanguage('en-US');
       localStorage.setItem('langbot_language', 'en-US');
@@ -74,6 +77,11 @@ export function LanguageSelector({
           browserLanguage.startsWith('es-')
         ) {
           detectedLanguage = 'es-ES';
+        } else if (
+          browserLanguage === 'ru' ||
+          browserLanguage.startsWith('ru-')
+        ) {
+          detectedLanguage = 'ru-RU';
         } else {
           detectedLanguage = 'en-US';
         }
@@ -111,6 +119,7 @@ export function LanguageSelector({
         <SelectItem value="th-TH">ภาษาไทย</SelectItem>
         <SelectItem value="vi-VN">Tiếng Việt</SelectItem>
         <SelectItem value="es-ES">Español</SelectItem>
+        <SelectItem value="ru-RU">Русский</SelectItem>
       </SelectContent>
     </Select>
   );

web/src/i18n/I18nProvider.tsx

@@ -28,6 +28,7 @@ export const extractI18nObject = (i18nObject: I18nObject): string => {
   if (language === 'th_TH' && i18nObject.th_TH) return i18nObject.th_TH;
   if (language === 'vi_VN' && i18nObject.vi_VN) return i18nObject.vi_VN;
   if (language === 'es_ES' && i18nObject.es_ES) return i18nObject.es_ES;
+  if (language === 'ru_RU' && i18nObject.ru_RU) return i18nObject.ru_RU;
   return (
     i18nObject.en_US ||
     i18nObject.zh_Hans ||
@@ -56,6 +57,8 @@ export const getAPILanguageCode = (): string => {
   if (language === 'vi-VN') return 'vi_VN';
   // es-ES -> es_ES
   if (language === 'es-ES') return 'es_ES';
+  // ru-RU -> ru_RU
+  if (language === 'ru-RU') return 'ru_RU';
   // 默认返回 en
   return 'en';
 };

web/src/i18n/index.ts

@@ -9,6 +9,7 @@ import jaJP from './locales/ja-JP';
 import thTH from './locales/th-TH';
 import viVN from './locales/vi-VN';
 import esES from './locales/es-ES';
+import ruRU from './locales/ru-RU';
 
 i18n
   .use(LanguageDetector)
@@ -36,6 +37,9 @@ i18n
       'es-ES': {
         translation: esES,
       },
+      'ru-RU': {
+        translation: ruRU,
+      },
     },
     fallbackLng: 'zh-Hans',
     debug: process.env.NODE_ENV === 'development',

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

@@ -181,6 +181,10 @@ const enUS = {
     mustBeValidNumber: 'Must be a valid number',
     mustBeTrueOrFalse: 'Must be true or false',
     requestURL: 'Request URL',
+    scanURL: 'Scan Models URL',
+    scanURLPlaceholder: 'Leave empty to use Request URL + /models',
+    scanURLDescription:
+      'Fill in the actual model-list endpoint when model scanning does not use the same address as model invocation.',
     apiKey: 'API Key',
     abilities: 'Abilities',
     selectModelAbilities: 'Select model abilities',
@@ -218,6 +222,20 @@ const enUS = {
     providerCount: '{{count}} providers',
     // New keys for provider-based structure
     addModel: 'Add Model',
+    manualAdd: 'Manual',
+    scanAdd: 'Scan',
+    scanModels: 'Scan Models',
+    scanModelsHint:
+      'Read available models from the current provider, then select which ones to add.',
+    scannedModels: 'Scanned Models',
+    scanDebug: 'Debug Info',
+    searchScannedModels: 'Search scanned models',
+    noScannedModels: 'No scan results yet. Click the button above to scan.',
+    noScannedModelsMatch: 'No matching models',
+    addSelectedModels: 'Add Selected',
+    addSelectedModelsSuccess: '{{count}} model(s) added',
+    selectAll: 'Select All',
+    alreadyAdded: 'Already added',
     addLLMModel: 'Add LLM Model',
     addEmbeddingModel: 'Add Embedding Model',
     provider: 'Provider',
@@ -391,20 +409,6 @@ const enUS = {
       discarded: 'Discarded',
       userMessage: 'User',
       botMessage: 'Assistant',
-      operatorMessage: 'Operator',
-      humanTakeover: 'Human Takeover',
-      takeoverBtn: 'Take Over',
-      releaseBtn: 'Release',
-      takeoverConfirm: 'Take over this session? The AI bot will stop responding until released.',
-      releaseConfirm: 'Release this session? The AI bot will resume responding.',
-      takeoverSuccess: 'Session taken over successfully',
-      releaseSuccess: 'Session released successfully',
-      takeoverFailed: 'Failed to take over session',
-      releaseFailed: 'Failed to release session',
-      sendMessage: 'Send message as operator...',
-      sendBtn: 'Send',
-      sendFailed: 'Failed to send message',
-      takenOver: 'Taken Over',
     },
   },
   plugins: {
@@ -886,6 +890,7 @@ const enUS = {
       builtInParser: 'Provided by Knowledge engine',
       noParserAvailable:
         'No parser supports this file type. Please install a parser plugin that can handle this format.',
+      installParserHint: 'Browse parser plugins in Marketplace →',
       confirmUpload: 'Upload',
       cancelUpload: 'Cancel',
     },
@@ -1176,7 +1181,7 @@ const enUS = {
       contextInfo: 'Context Info',
       userId: 'User ID',
       messageId: 'Message ID',
-      streamId: 'Stream ID',
+      streamId: 'Related Query ID',
       inaccurateReasons: 'Inaccurate Reasons',
       platform: 'Platform',
       exportFeedback: 'Export Feedback',
@@ -1207,6 +1212,7 @@ const enUS = {
       embeddingCalls: 'Embedding Calls',
       errors: 'Error Logs',
       sessions: 'Sessions',
+      feedback: 'User Feedback',
     },
   },
   limitation: {

web/src/i18n/locales/es-ES.ts

@@ -185,6 +185,10 @@ const esES = {
     mustBeValidNumber: 'Debe ser un número válido',
     mustBeTrueOrFalse: 'Debe ser verdadero o falso',
     requestURL: 'URL de solicitud',
+    scanURL: 'URL de escaneo de modelos',
+    scanURLPlaceholder: 'Déjalo vacío para usar URL de solicitud + /models',
+    scanURLDescription:
+      'Ingresa el endpoint real de la lista de modelos cuando el escaneo de modelos no utiliza la misma dirección que la invocación del modelo.',
     apiKey: 'Clave API',
     abilities: 'Capacidades',
     selectModelAbilities: 'Seleccionar capacidades del modelo',
@@ -227,6 +231,21 @@ const esES = {
     providerCount: '{{count}} proveedores',
     // New keys for provider-based structure
     addModel: 'Añadir modelo',
+    manualAdd: 'Manual',
+    scanAdd: 'Escanear',
+    scanModels: 'Escanear modelos',
+    scanModelsHint:
+      'Lee los modelos disponibles del proveedor actual y luego elige cuáles agregar.',
+    scannedModels: 'Modelos detectados',
+    scanDebug: 'Información de depuración',
+    searchScannedModels: 'Buscar modelos detectados',
+    noScannedModels:
+      'Todavía no hay resultados. Pulsa el botón superior para escanear.',
+    noScannedModelsMatch: 'No hay modelos coincidentes',
+    addSelectedModels: 'Agregar seleccionados',
+    addSelectedModelsSuccess: 'Se agregaron {{count}} modelo(s)',
+    selectAll: 'Seleccionar todo',
+    alreadyAdded: 'Ya agregado',
     addLLMModel: 'Añadir modelo LLM',
     addEmbeddingModel: 'Añadir modelo Embedding',
     provider: 'Proveedor',
@@ -401,20 +420,6 @@ const esES = {
       discarded: 'Descartado',
       userMessage: 'Usuario',
       botMessage: 'Asistente',
-      operatorMessage: 'Operador',
-      humanTakeover: 'Toma de control humana',
-      takeoverBtn: 'Tomar control',
-      releaseBtn: 'Liberar',
-      takeoverConfirm: '¿Tomar control de esta sesión? El bot de IA dejará de responder hasta que se libere.',
-      releaseConfirm: '¿Liberar esta sesión? El bot de IA reanudará las respuestas.',
-      takeoverSuccess: 'Sesión tomada exitosamente',
-      releaseSuccess: 'Sesión liberada exitosamente',
-      takeoverFailed: 'Error al tomar control de la sesión',
-      releaseFailed: 'Error al liberar la sesión',
-      sendMessage: 'Enviar mensaje como operador...',
-      sendBtn: 'Enviar',
-      sendFailed: 'Error al enviar el mensaje',
-      takenOver: 'Tomada',
     },
   },
   plugins: {
@@ -905,6 +910,7 @@ const esES = {
       builtInParser: 'Proporcionado por el motor de conocimiento',
       noParserAvailable:
         'Ningún analizador admite este tipo de archivo. Por favor, instala un plugin de analizador que pueda manejar este formato.',
+      installParserHint: 'Buscar plugins de analizador en el Marketplace →',
       confirmUpload: 'Subir',
       cancelUpload: 'Cancelar',
     },
@@ -1207,7 +1213,7 @@ const esES = {
       contextInfo: 'Información de contexto',
       userId: 'ID de usuario',
       messageId: 'ID de mensaje',
-      streamId: 'ID de flujo',
+      streamId: 'ID de consulta relacionada',
       inaccurateReasons: 'Razones de inexactitud',
       platform: 'Plataforma',
       exportFeedback: 'Exportar comentarios',
@@ -1238,6 +1244,7 @@ const esES = {
       embeddingCalls: 'Llamadas Embedding',
       errors: 'Registros de errores',
       sessions: 'Sesiones',
+      feedback: 'Comentarios de usuarios',
     },
   },
   limitation: {

web/src/i18n/locales/ja-JP.ts

@@ -184,6 +184,10 @@
     mustBeValidNumber: '有効な数値である必要があります',
     mustBeTrueOrFalse: 'true または false である必要があります',
     requestURL: 'リクエストURL',
+    scanURL: 'モデルスキャンURL',
+    scanURLPlaceholder: '空のままにするとリクエストURL + /modelsを使用します',
+    scanURLDescription:
+      'モデルスキャンがモデル呼び出しと同じアドレスを使用しない場合は、実際のモデルリストのエンドポイントを入力してください。',
     apiKey: 'APIキー',
     abilities: '機能',
     selectModelAbilities: 'モデル機能を選択',
@@ -197,8 +201,6 @@
     string: '文字列',
     number: '数値',
     boolean: 'ブール値',
-    extraParametersDescription:
-      'リクエストボディに追加されるパラメータ（max_tokens、temperature、top_p など）',
     selectModelProvider: 'モデルプロバイダーを選択',
     modelProviderDescription: 'プロバイダーが提供するモデル名をご入力ください',
     modelManufacturer: 'モデルメーカー',
@@ -223,6 +225,21 @@
       'ローカルモデルがありません。作成ボタンをクリックしてモデルを追加してください。',
     providerCount: '{{count}} 件のプロバイダー',
     addModel: 'モデルを追加',
+    manualAdd: '手動追加',
+    scanAdd: 'スキャン追加',
+    scanModels: 'モデルをスキャン',
+    scanModelsHint:
+      '現在のプロバイダーから利用可能なモデルを取得し、追加するモデルを選択します。',
+    scannedModels: 'スキャン結果',
+    scanDebug: 'デバッグ情報',
+    searchScannedModels: 'スキャン結果を検索',
+    noScannedModels:
+      'まだスキャン結果がありません。上のボタンからスキャンしてください。',
+    noScannedModelsMatch: '一致するモデルがありません',
+    addSelectedModels: '選択したモデルを追加',
+    addSelectedModelsSuccess: '{{count}} 件のモデルを追加しました',
+    selectAll: 'すべて選択',
+    alreadyAdded: '追加済み',
     addLLMModel: 'LLMモデルを追加',
     addEmbeddingModel: '埋め込みモデルを追加',
     provider: 'プロバイダー',
@@ -370,6 +387,10 @@
     allLevels: 'すべてのレベル',
     selectLevel: 'レベルを選択',
     levelsSelected: 'レベル選択済み',
+    viewDetailedLogs: '詳細ログを表示',
+    viewDetails: '詳細',
+    collapse: '折りたたむ',
+    imagesAttached: '枚の画像が添付されています',
     noLogs: 'ログはまだありません',
     sessionMonitor: {
       title: 'セッション監視',
@@ -392,20 +413,6 @@
       discarded: '破棄済み',
       userMessage: 'ユーザー',
       botMessage: 'アシスタント',
-      operatorMessage: 'オペレーター',
-      humanTakeover: '有人対応',
-      takeoverBtn: '引き継ぐ',
-      releaseBtn: '解除',
-      takeoverConfirm: 'このセッションを引き継ぎますか？解除するまでAIボットは応答を停止します。',
-      releaseConfirm: 'このセッションを解除しますか？AIボットが応答を再開します。',
-      takeoverSuccess: 'セッションの引き継ぎに成功しました',
-      releaseSuccess: 'セッションの解除に成功しました',
-      takeoverFailed: 'セッションの引き継ぎに失敗しました',
-      releaseFailed: 'セッションの解除に失敗しました',
-      sendMessage: 'オペレーターとしてメッセージを送信...',
-      sendBtn: '送信',
-      sendFailed: 'メッセージの送信に失敗しました',
-      takenOver: '引き継ぎ中',
     },
   },
   plugins: {
@@ -886,6 +893,7 @@
       builtInParser: '知識エンジンが提供',
       noParserAvailable:
         'このファイル形式に対応するパーサーがありません。対応するパーサープラグインをインストールしてください。',
+      installParserHint: 'マーケットプレイスでパーサープラグインを探す →',
       confirmUpload: 'アップロード',
       cancelUpload: 'キャンセル',
     },
@@ -916,9 +924,18 @@
     installEngineHint:
       '先に「ナレッジエンジン」プラグインをインストールしてください',
     unknownEngine: '不明なエンジン',
+    knowledgeEngine: 'ナレッジエンジン',
+    knowledgeEngineRequired: 'ナレッジエンジンは必須です',
+    selectKnowledgeEngine: 'ナレッジエンジンを選択',
+    builtInEngine: '組み込みエンジン',
+    cannotChangeKnowledgeEngine:
+      '作成後にナレッジエンジンを変更することはできません',
+    createKnowledgeBaseFailed: 'ナレッジベースの作成に失敗しました：',
     loadKnowledgeBaseFailed: 'ナレッジベースの読み込みに失敗しました：',
     deleteKnowledgeBaseFailed: 'ナレッジベースの削除に失敗しました：',
     getKnowledgeBaseListError: 'ナレッジベース一覧の取得に失敗しました：',
+    embeddingModel: 'Embeddingモデル',
+    embeddingModelRequired: 'このエンジンにはEmbeddingモデルが必要です',
     addExternal: '外部ナレッジベースを追加',
     createExternalSuccess: '外部ナレッジベースが正常に作成されました',
     updateExternalSuccess: '外部ナレッジベースが正常に更新されました',
@@ -1099,6 +1116,7 @@
       viewConversation: '会話詳細を表示',
     },
     llmCalls: {
+      title: 'LLM呼び出し',
       model: 'モデル',
       tokens: 'トークン数',
       duration: '期間',
@@ -1107,6 +1125,8 @@
       inputTokens: '入力トークン',
       outputTokens: '出力トークン',
       totalTokens: '合計トークン数',
+      avgDuration: '平均期間',
+      calls: '呼び出し',
     },
     embeddingCalls: {
       title: 'Embedding呼び出し',
@@ -1135,6 +1155,12 @@
       lastActivity: '最終アクティビティ',
       noSessions: 'セッションが見つかりません',
       startTime: '開始時刻',
+      messageStats: 'メッセージ統計',
+      totalMessages: '総メッセージ数',
+      successMessages: '成功',
+      errorMessages: '失敗',
+      llmStats: 'LLM統計',
+      noData: 'セッションが見つかりません',
     },
     errors: {
       errorType: 'エラータイプ',
@@ -1159,7 +1185,7 @@
       contextInfo: 'コンテキスト情報',
       userId: 'ユーザーID',
       messageId: 'メッセージID',
-      streamId: 'ストリームID',
+      streamId: '関連質問ID',
       inaccurateReasons: '不正確な理由',
       platform: 'プラットフォーム',
       exportFeedback: 'フィードバックをエクスポート',
@@ -1167,9 +1193,18 @@
     messageDetails: {
       noData: 'このクエリにはLLM呼び出しやエラーがありません',
     },
+    queries: {
+      title: 'クエリ',
+    },
     queryVariables: {
       title: 'クエリ変数',
     },
+    trafficChart: {
+      title: 'トラフィック概要',
+      messages: 'メッセージ',
+      llmCalls: 'LLM呼び出し',
+      noData: 'トラフィックデータがありません',
+    },
     viewMonitoring: 'モニタリングを表示',
     refreshData: 'データを更新',
     exportData: 'データをエクスポート',
@@ -1181,6 +1216,7 @@
       embeddingCalls: 'Embedding コール',
       errors: 'エラーログ',
       sessions: 'セッション',
+      feedback: 'ユーザーフィードバック',
     },
   },
   limitation: {

web/src/i18n/locales/th-TH.ts

@@ -179,6 +179,10 @@ const thTH = {
     mustBeValidNumber: 'ต้องเป็นตัวเลขที่ถูกต้อง',
     mustBeTrueOrFalse: 'ต้องเป็น true หรือ false',
     requestURL: 'URL คำขอ',
+    scanURL: 'URL สแกนโมเดล',
+    scanURLPlaceholder: 'เว้นว่างไว้เพื่อใช้ URL คำขอ + /models',
+    scanURLDescription:
+      'กรอกปลายทางรายการโมเดลจริงเมื่อการสแกนโมเดลไม่ได้ใช้ที่อยู่เดียวกับการเรียกใช้โมเดล',
     apiKey: 'API Key',
     abilities: 'ความสามารถ',
     selectModelAbilities: 'เลือกความสามารถของโมเดล',
@@ -215,6 +219,20 @@ const thTH = {
     noLocalModels: 'ไม่มีโมเดลท้องถิ่น คลิกสร้างเพื่อเพิ่มโมเดล',
     providerCount: '{{count}} ผู้ให้บริการ',
     addModel: 'เพิ่มโมเดล',
+    manualAdd: 'เพิ่มเอง',
+    scanAdd: 'สแกน',
+    scanModels: 'สแกนโมเดล',
+    scanModelsHint:
+      'ดึงรายการโมเดลที่ใช้ได้จากผู้ให้บริการปัจจุบัน แล้วเลือกโมเดลที่ต้องการเพิ่ม',
+    scannedModels: 'ผลการสแกน',
+    scanDebug: 'ข้อมูลการดีบัก',
+    searchScannedModels: 'ค้นหาผลการสแกน',
+    noScannedModels: 'ยังไม่มีผลการสแกน กดปุ่มด้านบนเพื่อเริ่มสแกน',
+    noScannedModelsMatch: 'ไม่พบโมเดลที่ตรงกัน',
+    addSelectedModels: 'เพิ่มที่เลือก',
+    addSelectedModelsSuccess: 'เพิ่มแล้ว {{count}} โมเดล',
+    selectAll: 'เลือกทั้งหมด',
+    alreadyAdded: 'เพิ่มแล้ว',
     addLLMModel: 'เพิ่มโมเดล LLM',
     addEmbeddingModel: 'เพิ่มโมเดล Embedding',
     provider: 'ผู้ให้บริการ',
@@ -386,20 +404,6 @@ const thTH = {
       discarded: 'ถูกละทิ้ง',
       userMessage: 'ผู้ใช้',
       botMessage: 'ผู้ช่วย',
-      operatorMessage: 'เจ้าหน้าที่',
-      humanTakeover: 'เจ้าหน้าที่รับช่วง',
-      takeoverBtn: 'รับช่วง',
-      releaseBtn: 'ปล่อย',
-      takeoverConfirm: 'รับช่วงเซสชันนี้หรือไม่? บอท AI จะหยุดตอบจนกว่าจะปล่อย',
-      releaseConfirm: 'ปล่อยเซสชันนี้หรือไม่? บอท AI จะกลับมาตอบอีกครั้ง',
-      takeoverSuccess: 'รับช่วงเซสชันสำเร็จ',
-      releaseSuccess: 'ปล่อยเซสชันสำเร็จ',
-      takeoverFailed: 'รับช่วงเซสชันล้มเหลว',
-      releaseFailed: 'ปล่อยเซสชันล้มเหลว',
-      sendMessage: 'ส่งข้อความในฐานะเจ้าหน้าที่...',
-      sendBtn: 'ส่ง',
-      sendFailed: 'ส่งข้อความล้มเหลว',
-      takenOver: 'ถูกรับช่วงแล้ว',
     },
   },
   plugins: {
@@ -873,6 +877,7 @@ const thTH = {
       builtInParser: 'จัดเตรียมโดยเครื่องมือความรู้',
       noParserAvailable:
         'ไม่มีตัวแยกวิเคราะห์ที่รองรับไฟล์ประเภทนี้ กรุณาติดตั้งปลั๊กอินตัวแยกวิเคราะห์ที่สามารถจัดการรูปแบบนี้ได้',
+      installParserHint: 'เรียกดูปลั๊กอินตัวแยกวิเคราะห์ใน Marketplace →',
       confirmUpload: 'อัปโหลด',
       cancelUpload: 'ยกเลิก',
     },
@@ -1155,7 +1160,7 @@ const thTH = {
       contextInfo: 'ข้อมูลบริบท',
       userId: 'ID ผู้ใช้',
       messageId: 'ID ข้อความ',
-      streamId: 'ID สตรีม',
+      streamId: 'ID คำถามที่เกี่ยวข้อง',
       inaccurateReasons: 'เหตุผลที่ไม่ถูกต้อง',
       platform: 'แพลตฟอร์ม',
       exportFeedback: 'ส่งออกความคิดเห็น',
@@ -1186,6 +1191,7 @@ const thTH = {
       embeddingCalls: 'การเรียก Embedding',
       errors: 'บันทึกข้อผิดพลาด',
       sessions: 'เซสชัน',
+      feedback: 'ความคิดเห็นผู้ใช้',
     },
   },
   limitation: {

web/src/i18n/locales/vi-VN.ts

@@ -182,6 +182,10 @@ const viVN = {
     mustBeValidNumber: 'Phải là một số hợp lệ',
     mustBeTrueOrFalse: 'Phải là true hoặc false',
     requestURL: 'URL yêu cầu',
+    scanURL: 'URL quét mô hình',
+    scanURLPlaceholder: 'Để trống để sử dụng URL yêu cầu + /models',
+    scanURLDescription:
+      'Điền điểm cuối danh sách mô hình thực tế khi quét mô hình không sử dụng cùng địa chỉ với việc gọi mô hình.',
     apiKey: 'API Key',
     abilities: 'Khả năng',
     selectModelAbilities: 'Chọn khả năng mô hình',
@@ -222,6 +226,20 @@ const viVN = {
     noLocalModels: 'Không có mô hình cục bộ. Nhấn Tạo để thêm mô hình.',
     providerCount: '{{count}} nhà cung cấp',
     addModel: 'Thêm mô hình',
+    manualAdd: 'Thủ công',
+    scanAdd: 'Quét',
+    scanModels: 'Quét mô hình',
+    scanModelsHint:
+      'Đọc danh sách mô hình khả dụng từ nhà cung cấp hiện tại rồi chọn mô hình cần thêm.',
+    scannedModels: 'Kết quả quét',
+    scanDebug: 'Thông tin gỡ lỗi',
+    searchScannedModels: 'Tìm trong kết quả quét',
+    noScannedModels: 'Chưa có kết quả quét. Nhấn nút phía trên để bắt đầu.',
+    noScannedModelsMatch: 'Không có mô hình phù hợp',
+    addSelectedModels: 'Thêm mục đã chọn',
+    addSelectedModelsSuccess: 'Đã thêm {{count}} mô hình',
+    selectAll: 'Chọn tất cả',
+    alreadyAdded: 'Đã thêm',
     addLLMModel: 'Thêm mô hình LLM',
     addEmbeddingModel: 'Thêm mô hình Embedding',
     provider: 'Nhà cung cấp',
@@ -395,20 +413,6 @@ const viVN = {
       discarded: 'Đã loại bỏ',
       userMessage: 'Người dùng',
       botMessage: 'Trợ lý',
-      operatorMessage: 'Nhân viên',
-      humanTakeover: 'Tiếp nhận thủ công',
-      takeoverBtn: 'Tiếp nhận',
-      releaseBtn: 'Giải phóng',
-      takeoverConfirm: 'Tiếp nhận phiên này? Bot AI sẽ ngừng phản hồi cho đến khi được giải phóng.',
-      releaseConfirm: 'Giải phóng phiên này? Bot AI sẽ tiếp tục phản hồi.',
-      takeoverSuccess: 'Tiếp nhận phiên thành công',
-      releaseSuccess: 'Giải phóng phiên thành công',
-      takeoverFailed: 'Tiếp nhận phiên thất bại',
-      releaseFailed: 'Giải phóng phiên thất bại',
-      sendMessage: 'Gửi tin nhắn với tư cách nhân viên...',
-      sendBtn: 'Gửi',
-      sendFailed: 'Gửi tin nhắn thất bại',
-      takenOver: 'Đã tiếp nhận',
     },
   },
   plugins: {
@@ -885,6 +889,7 @@ const viVN = {
       builtInParser: 'Được cung cấp bởi Công cụ tri thức',
       noParserAvailable:
         'Không có trình phân tích hỗ trợ loại tệp này. Vui lòng cài đặt plugin trình phân tích có thể xử lý định dạng này.',
+      installParserHint: 'Duyệt plugin trình phân tích trong Marketplace →',
       confirmUpload: 'Tải lên',
       cancelUpload: 'Hủy',
     },
@@ -1176,7 +1181,7 @@ const viVN = {
       contextInfo: 'Thông tin ngữ cảnh',
       userId: 'ID người dùng',
       messageId: 'ID tin nhắn',
-      streamId: 'ID luồng',
+      streamId: 'ID câu hỏi liên quan',
       inaccurateReasons: 'Lý do không chính xác',
       platform: 'Nền tảng',
       exportFeedback: 'Xuất phản hồi',
@@ -1207,6 +1212,7 @@ const viVN = {
       embeddingCalls: 'Cuộc gọi Embedding',
       errors: 'Nhật ký lỗi',
       sessions: 'Phiên',
+      feedback: 'Phản hồi người dùng',
     },
   },
   limitation: {

web/src/i18n/locales/zh-Hans.ts

@@ -173,6 +173,10 @@ const zhHans = {
     mustBeValidNumber: '必须是有效的数字',
     mustBeTrueOrFalse: '必须是 true 或 false',
     requestURL: '请求URL',
+    scanURL: '扫描模型地址',
+    scanURLPlaceholder: '留空则默认使用请求URL + /models',
+    scanURLDescription:
+      '当模型扫描接口与模型调用接口不是同一个地址时，在这里填写实际的模型列表接口。',
     apiKey: 'API Key',
     abilities: '能力',
     selectModelAbilities: '选择模型能力',
@@ -209,6 +213,19 @@ const zhHans = {
     providerCount: '共 {{count}} 个自定义供应商',
     // 供应商结构新增键
     addModel: '添加模型',
+    manualAdd: '手动添加',
+    scanAdd: '扫描添加',
+    scanModels: '扫描模型',
+    scanModelsHint: '从当前供应商接口读取可用模型，然后勾选要添加的模型。',
+    scannedModels: '扫描结果',
+    scanDebug: '调试信息',
+    searchScannedModels: '搜索扫描结果',
+    noScannedModels: '还没有扫描结果，点击上方按钮开始扫描。',
+    noScannedModelsMatch: '没有匹配的模型',
+    addSelectedModels: '添加所选模型',
+    addSelectedModelsSuccess: '已添加 {{count}} 个模型',
+    selectAll: '全选模型',
+    alreadyAdded: '已添加',
     addLLMModel: '添加对话模型',
     addEmbeddingModel: '添加嵌入模型',
     provider: '供应商',
@@ -376,20 +393,6 @@ const zhHans = {
       discarded: '已丢弃',
       userMessage: '用户',
       botMessage: '助手',
-      operatorMessage: '人工客服',
-      humanTakeover: '人工接管',
-      takeoverBtn: '接管',
-      releaseBtn: '释放',
-      takeoverConfirm: '确定接管此会话？AI 机器人将停止回复，直到释放。',
-      releaseConfirm: '确定释放此会话？AI 机器人将恢复回复。',
-      takeoverSuccess: '会话接管成功',
-      releaseSuccess: '会话释放成功',
-      takeoverFailed: '会话接管失败',
-      releaseFailed: '会话释放失败',
-      sendMessage: '以人工客服身份发送消息...',
-      sendBtn: '发送',
-      sendFailed: '消息发送失败',
-      takenOver: '已接管',
     },
   },
   plugins: {
@@ -571,6 +574,7 @@ const zhHans = {
     description: '描述',
     tagLabel: '标签',
     submissionTitle: '您有插件提交正在审核中： {{name}}',
+    submissionPending: '您的插件提交正在审核中： {{name}}',
     submissionApproved: '您的插件提交已通过审核： {{name}}',
     submissionRejected: '您的插件提交已被拒绝： {{name}}',
     clickToRevoke: '撤回',
@@ -846,6 +850,7 @@ const zhHans = {
       builtInParser: '由知识引擎提供',
       noParserAvailable:
         '没有解析器支持此文件类型，请安装支持该格式的解析器插件。',
+      installParserHint: '前往插件市场安装解析器 →',
       confirmUpload: '上传',
       cancelUpload: '取消',
     },
@@ -1122,7 +1127,7 @@ const zhHans = {
       contextInfo: '上下文信息',
       userId: '用户ID',
       messageId: '消息ID',
-      streamId: '流ID',
+      streamId: '关联提问ID',
       inaccurateReasons: '不准确原因',
       platform: '平台',
       exportFeedback: '导出反馈',
@@ -1153,6 +1158,7 @@ const zhHans = {
       embeddingCalls: 'Embedding 调用',
       errors: '错误日志',
       sessions: '会话记录',
+      feedback: '用户反馈',
     },
   },
   limitation: {

web/src/i18n/locales/zh-Hant.ts

@@ -173,6 +173,10 @@ const zhHant = {
     mustBeValidNumber: '必須是有效的數字',
     mustBeTrueOrFalse: '必須是 true 或 false',
     requestURL: '請求URL',
+    scanURL: '掃描模型 URL',
+    scanURLPlaceholder: '留空則使用請求 URL + /models',
+    scanURLDescription:
+      '當模型掃描與模型調用不使用相同地址時，請填寫實際的模型列表端點。',
     apiKey: 'API Key',
     abilities: '能力',
     selectModelAbilities: '選擇模型能力',
@@ -208,6 +212,19 @@ const zhHant = {
     noLocalModels: '暫無本地模型。點擊建立按鈕新增模型。',
     providerCount: '共 {{count}} 個供應商',
     addModel: '新增模型',
+    manualAdd: '手動添加',
+    scanAdd: '掃描添加',
+    scanModels: '掃描模型',
+    scanModelsHint: '從目前供應商介面讀取可用模型，然後勾選要添加的模型。',
+    scannedModels: '掃描結果',
+    scanDebug: '調試資訊',
+    searchScannedModels: '搜尋掃描結果',
+    noScannedModels: '尚無掃描結果，點擊上方按鈕開始掃描。',
+    noScannedModelsMatch: '沒有符合的模型',
+    addSelectedModels: '添加所選模型',
+    addSelectedModelsSuccess: '已添加 {{count}} 個模型',
+    selectAll: '全選模型',
+    alreadyAdded: '已添加',
     addLLMModel: '新增對話模型',
     addEmbeddingModel: '新增嵌入模型',
     provider: '供應商',
@@ -349,6 +366,10 @@ const zhHant = {
     allLevels: '全部級別',
     selectLevel: '選擇級別',
     levelsSelected: '個級別已選',
+    viewDetailedLogs: '查看詳細日誌',
+    viewDetails: '詳情',
+    collapse: '收起',
+    imagesAttached: '張圖片已附加',
     noLogs: '暫無日誌',
     sessionMonitor: {
       title: '會話監控',
@@ -371,20 +392,6 @@ const zhHant = {
       discarded: '已丟棄',
       userMessage: '使用者',
       botMessage: '助手',
-      operatorMessage: '人工客服',
-      humanTakeover: '人工接管',
-      takeoverBtn: '接管',
-      releaseBtn: '釋放',
-      takeoverConfirm: '確定接管此會話？AI 機器人將停止回覆，直到釋放。',
-      releaseConfirm: '確定釋放此會話？AI 機器人將恢復回覆。',
-      takeoverSuccess: '會話接管成功',
-      releaseSuccess: '會話釋放成功',
-      takeoverFailed: '會話接管失敗',
-      releaseFailed: '會話釋放失敗',
-      sendMessage: '以人工客服身份發送訊息...',
-      sendBtn: '發送',
-      sendFailed: '訊息發送失敗',
-      takenOver: '已接管',
     },
   },
   plugins: {
@@ -396,6 +403,7 @@ const zhHant = {
     marketplace: 'Marketplace',
     arrange: '編排',
     install: '安裝',
+    installPlugin: '安裝外掛',
     installFromGithub: '來自 GitHub',
     onlySupportGithub: '目前僅支援從 GitHub 安裝',
     enterGithubLink: '請輸入外掛的Github連結',
@@ -445,6 +453,7 @@ const zhHant = {
     deleteError: '刪除失敗：',
     close: '關閉',
     deleteConfirm: '刪除確認',
+    deleteSuccess: '刪除成功',
     modifyFailed: '修改失敗：',
     componentName: {
       Tool: '工具',
@@ -564,6 +573,7 @@ const zhHant = {
     description: '描述',
     tagLabel: '標籤',
     submissionTitle: '您有插件提交正在審核中： {{name}}',
+    submissionPending: '您的插件提交正在審核中： {{name}}',
     submissionApproved: '您的插件提交已通過審核： {{name}}',
     submissionRejected: '您的插件提交已被拒絕： {{name}}',
     clickToRevoke: '撤回',
@@ -839,6 +849,7 @@ const zhHant = {
       builtInParser: '由知識引擎提供',
       noParserAvailable:
         '沒有解析器支援此檔案類型，請安裝支援該格式的解析器插件。',
+      installParserHint: '前往插件市場安裝解析器 →',
       confirmUpload: '上傳',
       cancelUpload: '取消',
     },
@@ -867,9 +878,17 @@ const zhHant = {
     noEnginesAvailable: '沒有可用的知識庫引擎',
     installEngineHint: '請先安裝「知識引擎」插件',
     unknownEngine: '未知引擎',
+    knowledgeEngine: '知識引擎',
+    knowledgeEngineRequired: '知識引擎為必填項',
+    selectKnowledgeEngine: '選擇知識引擎',
+    builtInEngine: '內建引擎',
+    cannotChangeKnowledgeEngine: '建立後無法更改知識引擎',
+    createKnowledgeBaseFailed: '知識庫建立失敗：',
     loadKnowledgeBaseFailed: '知識庫載入失敗：',
     deleteKnowledgeBaseFailed: '知識庫刪除失敗：',
     getKnowledgeBaseListError: '取得知識庫列表失敗：',
+    embeddingModel: 'Embedding模型',
+    embeddingModelRequired: '此引擎需要Embedding模型',
     addExternal: '添加外部知識庫',
     createExternalSuccess: '外部知識庫創建成功',
     updateExternalSuccess: '外部知識庫更新成功',
@@ -1038,6 +1057,7 @@ const zhHant = {
       viewConversation: '顯示對話詳情',
     },
     llmCalls: {
+      title: 'LLM呼叫',
       model: '模型',
       tokens: '代幣數',
       duration: '持續時間',
@@ -1046,6 +1066,8 @@ const zhHant = {
       inputTokens: '輸入代幣',
       outputTokens: '輸出代幣',
       totalTokens: '總代幣數',
+      avgDuration: '平均持續時間',
+      calls: '呼叫次數',
     },
     embeddingCalls: {
       title: 'Embedding調用',
@@ -1074,6 +1096,12 @@ const zhHant = {
       lastActivity: '最後活動',
       noSessions: '未找到會話',
       startTime: '開始時間',
+      messageStats: '訊息統計',
+      totalMessages: '總訊息數',
+      successMessages: '成功',
+      errorMessages: '失敗',
+      llmStats: 'LLM統計',
+      noData: '未找到會話',
     },
     errors: {
       errorType: '錯誤類型',
@@ -1098,7 +1126,7 @@ const zhHant = {
       contextInfo: '上下文資訊',
       userId: '使用者ID',
       messageId: '訊息ID',
-      streamId: '串流ID',
+      streamId: '關聯提問ID',
       inaccurateReasons: '不準確原因',
       platform: '平台',
       exportFeedback: '匯出反饋',
@@ -1106,9 +1134,18 @@ const zhHant = {
     messageDetails: {
       noData: '此查詢沒有LLM調用或錯誤記錄',
     },
+    queries: {
+      title: '查詢',
+    },
     queryVariables: {
       title: '查詢變數',
     },
+    trafficChart: {
+      title: '流量概覽',
+      messages: '訊息',
+      llmCalls: 'LLM呼叫',
+      noData: '暫無流量資料',
+    },
     viewMonitoring: '查看日誌監控',
     refreshData: '重新整理資料',
     exportData: '匯出資料',
@@ -1120,6 +1157,7 @@ const zhHant = {
       embeddingCalls: 'Embedding 呼叫',
       errors: '錯誤日誌',
       sessions: '會話記錄',
+      feedback: '使用者回饋',
     },
   },
   limitation: {

web/tsconfig.json

@@ -17,9 +17,6 @@
       "@/*": ["./src/*"]
     }
   },
-  "include": [
-    "**/*.ts",
-    "**/*.tsx"
-  ],
+  "include": ["**/*.ts", "**/*.tsx"],
   "exclude": ["node_modules"]
 }