feat: update version to 4.9.0 in pyproject.toml, __init__.py, and uv.lock

feat: update migration messages for knowledge base in multiple languages
feat: add external plugin auto download
2026-06-02 20:14:36 +00:00 · 2026-03-09 20:09:00 +08:00 · 2026-03-09 19:57:13 +08:00 · 2026-03-09 09:55:12 +00:00 · 2026-03-09 09:26:29 +00:00 · 2026-03-09 08:26:05 +00:00
27 changed files with 1628 additions and 203 deletions
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.8.7"
+version = "4.9.0"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -63,8 +63,8 @@ dependencies = [
    "langchain-text-splitters>=0.0.1",
    "chromadb>=0.4.24",
    "qdrant-client (>=1.15.1,<2.0.0)",
-    "pyseekdb==1.0.0b7",
-    "langbot-plugin==0.3.0rc1",
+    "pyseekdb==1.1.0.post3",
+    "langbot-plugin==0.3.0",
    "asyncpg>=0.30.0",
    "line-bot-sdk>=3.19.0",
    "tboxsdk>=0.0.10",
--- a/src/langbot/init.py
+++ b/src/langbot/init.py
@@ -1,3 +1,3 @@
 """LangBot - Production-grade platform for building agentic IM bots"""

-__version__ = '4.8.7'
+__version__ = '4.9.0'
--- a/src/langbot/pkg/api/http/controller/groups/knowledge/migration.py
+++ b/src/langbot/pkg/api/http/controller/groups/knowledge/migration.py
@@ -0,0 +1,372 @@
+import asyncio
+import json
+
+import httpx
+import quart
+import sqlalchemy
+
+from ... import group
+from ......core import taskmgr
+from ......entity.persistence import metadata as persistence_metadata
+from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
+
+LANGRAG_PLUGIN_AUTHOR = 'langbot-team'
+LANGRAG_PLUGIN_NAME = 'LangRAG'
+LANGRAG_PLUGIN_ID = f'{LANGRAG_PLUGIN_AUTHOR}/{LANGRAG_PLUGIN_NAME}'
+DEFAULT_SPACE_URL = 'https://space.langbot.app'
+
+# Old Retriever plugin_name -> New Connector plugin_name
+EXTERNAL_PLUGIN_NAME_MAPPING = {
+    'DifyDatasetsRetriever': 'DifyDatasetsConnector',
+    'RAGFlowRetriever': 'RAGFlowConnector',
+    'FastGPTRetriever': 'FastGPTConnector',
+}
+
+# Per-plugin: which old retriever_config fields belong to creation_settings.
+# Remaining fields go to retrieval_settings.
+# None means ALL fields go to creation_settings (no retrieval_schema).
+EXTERNAL_PLUGIN_CREATION_FIELDS: dict[str, set[str] | None] = {
+    'langbot-team/DifyDatasetsConnector': {'api_base_url', 'dify_apikey', 'dataset_id'},
+    'langbot-team/RAGFlowConnector': {'api_base_url', 'api_key', 'dataset_ids'},
+    'langbot-team/FastGPTConnector': None,  # all fields -> creation_settings
+}
+
+
+@group.group_class('knowledge/migration', '/api/v1/knowledge/migration')
+class KnowledgeMigrationRouterGroup(group.RouterGroup):
+    async def _get_migration_flag(self) -> bool:
+        """Check if rag_plugin_migration_needed flag is set."""
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_metadata.Metadata).where(
+                persistence_metadata.Metadata.key == 'rag_plugin_migration_needed'
+            )
+        )
+        row = result.first()
+        return row is not None and row.value == 'true'
+
+    async def _set_migration_flag(self, value: str):
+        """Set rag_plugin_migration_needed flag."""
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.update(persistence_metadata.Metadata)
+            .where(persistence_metadata.Metadata.key == 'rag_plugin_migration_needed')
+            .values(value=value)
+        )
+
+    async def _table_exists(self, table_name: str) -> bool:
+        """Check if a table exists."""
+        if self.ap.persistence_mgr.db.name == 'postgresql':
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text(
+                    'SELECT EXISTS (SELECT FROM information_schema.tables WHERE table_name = :table_name);'
+                ).bindparams(table_name=table_name)
+            )
+            return result.scalar()
+        else:
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text("SELECT name FROM sqlite_master WHERE type='table' AND name=:table_name;").bindparams(
+                    table_name=table_name
+                )
+            )
+            return result.first() is not None
+
+    async def _install_plugin_from_marketplace(
+        self, plugin_id: str, task_context: taskmgr.TaskContext, space_url: str
+    ) -> None:
+        """Install a single plugin from the marketplace."""
+        p_author, p_name = plugin_id.split('/', 1)
+        self.ap.logger.info(f'RAG migration: installing plugin {plugin_id} from marketplace...')
+        task_context.trace(f'Installing plugin {plugin_id} from marketplace...')
+
+        async with httpx.AsyncClient(trust_env=True, timeout=15) as client:
+            resp = await client.get(f'{space_url}/api/v1/marketplace/plugins/{p_author}/{p_name}')
+            resp.raise_for_status()
+            p_data = resp.json().get('data', {}).get('plugin', {})
+            p_version = p_data.get('latest_version')
+            if not p_version:
+                raise Exception(f'Could not determine latest version for {plugin_id}')
+
+        await self.ap.plugin_connector.install_plugin(
+            PluginInstallSource.MARKETPLACE,
+            {
+                'plugin_author': p_author,
+                'plugin_name': p_name,
+                'plugin_version': p_version,
+            },
+            task_context=task_context,
+        )
+        self.ap.logger.info(f'RAG migration: plugin {plugin_id} install request sent.')
+
+    async def _execute_rag_migration(self, task_context: taskmgr.TaskContext, install_plugin: bool = True):
+        """Execute RAG migration: install required plugins and restore backup data."""
+        warnings = []
+
+        # Collect all plugins we need: LangRAG (always) + connector plugins (from external KBs)
+        needed_plugins: dict[str, str] = {
+            LANGRAG_PLUGIN_ID: LANGRAG_PLUGIN_NAME,
+        }
+
+        has_external = await self._table_exists('external_knowledge_bases')
+        if has_external:
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text('SELECT DISTINCT plugin_author, plugin_name FROM external_knowledge_bases;')
+            )
+            for row in result.fetchall():
+                plugin_author = row[0] or ''
+                plugin_name = row[1] or ''
+                mapped_name = EXTERNAL_PLUGIN_NAME_MAPPING.get(plugin_name, plugin_name)
+                plugin_id = f'{plugin_author}/{mapped_name}'
+                if plugin_id not in needed_plugins:
+                    needed_plugins[plugin_id] = mapped_name
+
+        self.ap.logger.info(f'RAG migration: plugins needed: {list(needed_plugins.keys())}')
+
+        if install_plugin:
+            # Step 1: Install all required plugins from marketplace
+            task_context.trace('Installing required plugins...', action='install-plugin')
+            space_url = self.ap.instance_config.data.get('space', {}).get('url', DEFAULT_SPACE_URL).rstrip('/')
+
+            for plugin_id in needed_plugins:
+                try:
+                    await self._install_plugin_from_marketplace(plugin_id, task_context, space_url)
+                except Exception as e:
+                    self.ap.logger.warning(f'RAG migration: plugin {plugin_id} install returned: {e}')
+                    task_context.trace(f'Plugin install note ({plugin_id}): {e}')
+
+            # Step 2: Wait for all plugins to become available as knowledge engines
+            task_context.trace(
+                f'Waiting for plugins to become available: {list(needed_plugins.keys())}...',
+                action='wait-plugin',
+            )
+            max_retries = 30
+            engine_id_set: set[str] = set()
+            for i in range(max_retries):
+                try:
+                    engines = await self.ap.plugin_connector.list_knowledge_engines()
+                    engine_id_set = {e.get('plugin_id') for e in engines}
+                except Exception:
+                    pass
+                if all(pid in engine_id_set for pid in needed_plugins):
+                    self.ap.logger.info(f'RAG migration: all plugins ready: {engine_id_set}')
+                    task_context.trace('All required plugins are ready.')
+                    break
+                if i == max_retries - 1:
+                    still_missing = [pid for pid in needed_plugins if pid not in engine_id_set]
+                    warning = f'Plugin(s) {still_missing} did not become available after {max_retries} retries'
+                    self.ap.logger.warning(f'RAG migration: {warning}')
+                    warnings.append(warning)
+                    task_context.trace(warning)
+                await asyncio.sleep(2)
+        else:
+            try:
+                engines = await self.ap.plugin_connector.list_knowledge_engines()
+                engine_id_set = {e.get('plugin_id') for e in engines}
+            except Exception:
+                engine_id_set = set()
+
+        # Step 3: Restore internal knowledge bases from backup
+        task_context.trace('Restoring internal knowledge bases...', action='restore-internal')
+        if await self._table_exists('knowledge_bases_backup'):
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text('SELECT * FROM knowledge_bases_backup;')
+            )
+            rows = result.fetchall()
+            columns = result.keys()
+
+            for row in rows:
+                row_dict = dict(zip(columns, row))
+                kb_uuid = row_dict.get('uuid')
+                name = row_dict.get('name', 'Untitled')
+                description = row_dict.get('description', '')
+                emoji = row_dict.get('emoji', '\U0001f4da')
+                embedding_model_uuid = row_dict.get('embedding_model_uuid', '')
+                top_k = row_dict.get('top_k', 5)
+                created_at = row_dict.get('created_at')
+                updated_at = row_dict.get('updated_at')
+
+                creation_settings = json.dumps({'embedding_model_uuid': embedding_model_uuid})
+                retrieval_settings = json.dumps({'top_k': top_k})
+
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'INSERT INTO knowledge_bases '
+                        '(uuid, name, description, emoji, created_at, updated_at, '
+                        'knowledge_engine_plugin_id, collection_id, creation_settings, retrieval_settings) '
+                        'VALUES (:uuid, :name, :description, :emoji, :created_at, :updated_at, '
+                        ':plugin_id, :collection_id, :creation_settings, :retrieval_settings);'
+                    ).bindparams(
+                        uuid=kb_uuid,
+                        name=name,
+                        description=description,
+                        emoji=emoji,
+                        created_at=created_at,
+                        updated_at=updated_at,
+                        plugin_id=LANGRAG_PLUGIN_ID,
+                        collection_id=kb_uuid,
+                        creation_settings=creation_settings,
+                        retrieval_settings=retrieval_settings,
+                    )
+                )
+
+                try:
+                    config = {'embedding_model_uuid': embedding_model_uuid}
+                    await self.ap.plugin_connector.rag_on_kb_create(LANGRAG_PLUGIN_ID, kb_uuid, config)
+                    task_context.trace(f'Restored internal KB: {name} ({kb_uuid})')
+                except Exception as e:
+                    warning = f'Failed to notify plugin for KB {name} ({kb_uuid}): {e}'
+                    warnings.append(warning)
+                    task_context.trace(warning)
+
+            await self.ap.rag_mgr.load_knowledge_bases_from_db()
+
+        # Step 4: Restore external knowledge bases
+        task_context.trace('Restoring external knowledge bases...', action='restore-external')
+        if has_external:
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text('SELECT * FROM external_knowledge_bases;')
+            )
+            rows = result.fetchall()
+            columns = result.keys()
+
+            self.ap.logger.info(
+                f'RAG migration: {len(rows)} external KB(s) to restore. Available engines: {engine_id_set}'
+            )
+            task_context.trace(f'Found {len(rows)} external KB(s). Available engines: {engine_id_set}')
+
+            for row in rows:
+                row_dict = dict(zip(columns, row))
+                kb_uuid = row_dict.get('uuid')
+                name = row_dict.get('name', 'Untitled')
+                description = row_dict.get('description', '')
+                emoji = row_dict.get('emoji', '\U0001f517')
+                plugin_author = row_dict.get('plugin_author', '')
+                plugin_name = row_dict.get('plugin_name', '')
+                retriever_config = row_dict.get('retriever_config', {})
+                created_at = row_dict.get('created_at')
+
+                mapped_plugin_name = EXTERNAL_PLUGIN_NAME_MAPPING.get(plugin_name, plugin_name)
+                external_plugin_id = f'{plugin_author}/{mapped_plugin_name}'
+
+                self.ap.logger.info(
+                    f'RAG migration: processing external KB "{name}" ({kb_uuid}), '
+                    f'plugin: {plugin_author}/{plugin_name} -> {external_plugin_id}'
+                )
+
+                if isinstance(retriever_config, str):
+                    try:
+                        retriever_config = json.loads(retriever_config)
+                    except (json.JSONDecodeError, TypeError):
+                        retriever_config = {}
+
+                creation_fields = EXTERNAL_PLUGIN_CREATION_FIELDS.get(external_plugin_id)
+                if creation_fields is None:
+                    creation_settings_dict = retriever_config
+                    retrieval_settings_dict = {}
+                else:
+                    creation_settings_dict = {k: v for k, v in retriever_config.items() if k in creation_fields}
+                    retrieval_settings_dict = {k: v for k, v in retriever_config.items() if k not in creation_fields}
+
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'INSERT INTO knowledge_bases '
+                        '(uuid, name, description, emoji, created_at, updated_at, '
+                        'knowledge_engine_plugin_id, collection_id, creation_settings, retrieval_settings) '
+                        'VALUES (:uuid, :name, :description, :emoji, :created_at, :updated_at, '
+                        ':plugin_id, :collection_id, :creation_settings, :retrieval_settings);'
+                    ).bindparams(
+                        uuid=kb_uuid,
+                        name=name,
+                        description=description,
+                        emoji=emoji,
+                        created_at=created_at,
+                        updated_at=created_at,
+                        plugin_id=external_plugin_id,
+                        collection_id=kb_uuid,
+                        creation_settings=json.dumps(creation_settings_dict),
+                        retrieval_settings=json.dumps(retrieval_settings_dict),
+                    )
+                )
+
+                if external_plugin_id not in engine_id_set:
+                    warning = (
+                        f'External KB "{name}" ({kb_uuid}) record saved, but plugin {external_plugin_id} '
+                        f'is not installed yet. Install the connector plugin to use it.'
+                    )
+                    warnings.append(warning)
+                    task_context.trace(warning)
+                else:
+                    try:
+                        await self.ap.plugin_connector.rag_on_kb_create(
+                            external_plugin_id, kb_uuid, creation_settings_dict
+                        )
+                        task_context.trace(f'Restored external KB: {name} ({kb_uuid})')
+                    except Exception as e:
+                        warning = f'Failed to notify plugin for external KB {name} ({kb_uuid}): {e}'
+                        warnings.append(warning)
+                        task_context.trace(warning)
+
+            await self.ap.rag_mgr.load_knowledge_bases_from_db()
+
+        # Step 5: Clear migration flag
+        await self._set_migration_flag('false')
+        task_context.trace('RAG migration completed.', action='done')
+
+        if warnings:
+            task_context.trace(f'Completed with {len(warnings)} warning(s).')
+
+    async def initialize(self) -> None:
+        @self.route('/status', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            needed = await self._get_migration_flag()
+
+            internal_kb_count = 0
+            external_kb_count = 0
+
+            if needed:
+                if await self._table_exists('knowledge_bases_backup'):
+                    result = await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.text('SELECT COUNT(*) FROM knowledge_bases_backup;')
+                    )
+                    internal_kb_count = result.scalar() or 0
+
+                if await self._table_exists('external_knowledge_bases'):
+                    result = await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.text('SELECT COUNT(*) FROM external_knowledge_bases;')
+                    )
+                    external_kb_count = result.scalar() or 0
+
+            return self.success(
+                data={
+                    'needed': needed,
+                    'internal_kb_count': internal_kb_count,
+                    'external_kb_count': external_kb_count,
+                }
+            )
+
+        @self.route('/execute', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            needed = await self._get_migration_flag()
+            if not needed:
+                return self.http_status(400, -1, 'RAG migration is not needed')
+
+            data = await quart.request.get_json(silent=True) or {}
+            install_plugin = data.get('install_plugin', True)
+
+            ctx = taskmgr.TaskContext.new()
+            wrapper = self.ap.task_mgr.create_user_task(
+                self._execute_rag_migration(task_context=ctx, install_plugin=install_plugin),
+                kind='rag-migration',
+                name='rag-migration-execute',
+                label='Migrating knowledge bases to plugin architecture',
+                context=ctx,
+            )
+
+            return self.success(data={'task_id': wrapper.id})
+
+        @self.route('/dismiss', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            needed = await self._get_migration_flag()
+            if not needed:
+                return self.http_status(400, -1, 'RAG migration is not needed')
+
+            await self._set_migration_flag('false')
+            return self.success()
--- a/src/langbot/pkg/persistence/migrations/dbm020_knowledge_engine_plugin_architecture.py
+++ b/src/langbot/pkg/persistence/migrations/dbm020_knowledge_engine_plugin_architecture.py
@@ -1,5 +1,3 @@
-import json
-
 import sqlalchemy
 from .. import migration

@@ -9,20 +7,22 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
    """Migrate to unified Knowledge Engine plugin architecture.

    Changes:
-    - Add knowledge_engine_plugin_id, collection_id, creation_settings, retrieval_settings columns to knowledge_bases
-    - Migrate existing top_k values into retrieval_settings JSON
-    - Migrate existing embedding_model_uuid into creation_settings JSON
-    - Drop embedding_model_uuid and top_k columns (PostgreSQL only; SQLite leaves them unmapped)
-    - Drop external_knowledge_bases table (no longer needed; external KB data is not migrated)
+    - Backup existing knowledge_bases data to knowledge_bases_backup
+    - Clear knowledge_bases table and add new plugin architecture columns
+    - Drop old columns (PostgreSQL only; SQLite leaves them unmapped)
+    - Preserve external_knowledge_bases table as-is for future migration
+    - Set rag_plugin_migration_needed flag in metadata if old data exists
    """

    async def upgrade(self):
        """Upgrade"""
+        has_internal_data = await self._backup_knowledge_bases()
+        has_external_data = await self._check_external_knowledge_bases()
+        await self._clear_knowledge_bases()
        await self._add_columns_to_knowledge_bases()
-        await self._migrate_top_k_to_retrieval_settings()
-        await self._migrate_embedding_model_uuid_to_creation_settings()
        await self._drop_old_columns()
-        await self._drop_external_knowledge_bases_table()
+        if has_internal_data or has_external_data:
+            await self._set_migration_flag()

    async def _get_table_columns(self, table_name: str) -> list[str]:
        """Get column names from a table (works for both SQLite and PostgreSQL)."""
@@ -57,6 +57,50 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
            )
            return result.first() is not None

+    async def _backup_knowledge_bases(self) -> bool:
+        """Backup knowledge_bases data. Returns True if data was backed up."""
+        result = await self.ap.persistence_mgr.execute_async(sqlalchemy.text('SELECT COUNT(*) FROM knowledge_bases;'))
+        count = result.scalar()
+        if count == 0:
+            return False
+
+        # Drop backup table if it already exists (from a previous failed migration)
+        if await self._table_exists('knowledge_bases_backup'):
+            await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE knowledge_bases_backup;'))
+
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text('CREATE TABLE knowledge_bases_backup AS SELECT * FROM knowledge_bases;')
+        )
+        self.ap.logger.info(
+            'Backed up %d knowledge base(s) to knowledge_bases_backup table.',
+            count,
+        )
+        return True
+
+    async def _check_external_knowledge_bases(self) -> bool:
+        """Check if external_knowledge_bases table exists and has data.
+
+        The table is preserved as-is (not dropped) for future migration.
+        """
+        if not await self._table_exists('external_knowledge_bases'):
+            return False
+
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text('SELECT COUNT(*) FROM external_knowledge_bases;')
+        )
+        count = result.scalar()
+        if count > 0:
+            self.ap.logger.info(
+                'Found %d external knowledge base(s) in external_knowledge_bases table. '
+                'Table preserved for future migration.',
+                count,
+            )
+        return count > 0
+
+    async def _clear_knowledge_bases(self):
+        """Clear all rows from knowledge_bases table (preserve table structure)."""
+        await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DELETE FROM knowledge_bases;'))
+
    async def _add_columns_to_knowledge_bases(self):
        """Add new RAG plugin architecture columns to knowledge_bases table."""
        columns = await self._get_table_columns('knowledge_bases')
@@ -74,73 +118,6 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
                    sqlalchemy.text(f'ALTER TABLE knowledge_bases ADD COLUMN {col_name} {col_type};')
                )

-        # For existing knowledge bases without knowledge_engine_plugin_id,
-        # set collection_id = uuid (same default as new KBs)
-        await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text('UPDATE knowledge_bases SET collection_id = uuid WHERE collection_id IS NULL;')
-        )
-
-    async def _migrate_top_k_to_retrieval_settings(self):
-        """Migrate existing top_k values into retrieval_settings JSON."""
-        columns = await self._get_table_columns('knowledge_bases')
-        if 'top_k' not in columns:
-            return
-
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text(
-                'SELECT uuid, top_k FROM knowledge_bases WHERE top_k IS NOT NULL AND retrieval_settings IS NULL;'
-            )
-        )
-        rows = result.fetchall()
-
-        for row in rows:
-            kb_uuid = row[0]
-            top_k = row[1]
-            retrieval_settings = json.dumps({'top_k': top_k})
-            await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text('UPDATE knowledge_bases SET retrieval_settings = :rs WHERE uuid = :uuid;').bindparams(
-                    rs=retrieval_settings, uuid=kb_uuid
-                )
-            )
-
-    async def _migrate_embedding_model_uuid_to_creation_settings(self):
-        """Migrate existing embedding_model_uuid into creation_settings JSON."""
-        columns = await self._get_table_columns('knowledge_bases')
-        if 'embedding_model_uuid' not in columns:
-            return
-
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text(
-                'SELECT uuid, embedding_model_uuid, creation_settings FROM knowledge_bases '
-                "WHERE embedding_model_uuid IS NOT NULL AND embedding_model_uuid != '';"
-            )
-        )
-        rows = result.fetchall()
-
-        for row in rows:
-            kb_uuid = row[0]
-            emb_uuid = row[1]
-            existing_settings = row[2]
-
-            if existing_settings and isinstance(existing_settings, str):
-                try:
-                    settings = json.loads(existing_settings)
-                except (json.JSONDecodeError, TypeError):
-                    settings = {}
-            elif isinstance(existing_settings, dict):
-                settings = existing_settings
-            else:
-                settings = {}
-
-            if 'embedding_model_uuid' not in settings:
-                settings['embedding_model_uuid'] = emb_uuid
-                new_settings = json.dumps(settings)
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text(
-                        'UPDATE knowledge_bases SET creation_settings = :cs WHERE uuid = :uuid;'
-                    ).bindparams(cs=new_settings, uuid=kb_uuid)
-                )
-
    async def _drop_old_columns(self):
        """Drop embedding_model_uuid and top_k columns (PostgreSQL only).

@@ -162,22 +139,22 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
                sqlalchemy.text('ALTER TABLE knowledge_bases DROP COLUMN top_k;')
            )

-    async def _drop_external_knowledge_bases_table(self):
-        """Drop the external_knowledge_bases table if it exists."""
-        if await self._table_exists('external_knowledge_bases'):
-            # Log existing external KBs before dropping, so users are aware of data loss
-            rows = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text('SELECT * FROM external_knowledge_bases;')
+    async def _set_migration_flag(self):
+        """Set rag_plugin_migration_needed flag in metadata table."""
+        # Check if the key already exists
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text("SELECT value FROM metadata WHERE key = 'rag_plugin_migration_needed';")
+        )
+        row = result.first()
+        if row is not None:
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text("UPDATE metadata SET value = 'true' WHERE key = 'rag_plugin_migration_needed';")
            )
-            existing = rows.fetchall()
-            if existing:
-                self.ap.logger.warning(
-                    'Dropping external_knowledge_bases table with %d existing record(s). '
-                    'These external KB configurations will be removed: %s',
-                    len(existing),
-                    [dict(row._mapping) for row in existing],
-                )
-            await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE external_knowledge_bases;'))
+        else:
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text("INSERT INTO metadata (key, value) VALUES ('rag_plugin_migration_needed', 'true');")
+            )
+        self.ap.logger.info('Set rag_plugin_migration_needed=true in metadata.')

    async def downgrade(self):
        """Downgrade"""
--- a/src/langbot/pkg/pipeline/config_coercion.py
+++ b/src/langbot/pkg/pipeline/config_coercion.py
@@ -0,0 +1,105 @@
+from __future__ import annotations
+
+import logging
+
+logger = logging.getLogger(__name__)
+
+# metadata type -> coercion function
+_COERCE_MAP = {
+    'integer': lambda v: int(v),
+    'number': lambda v: float(v),
+    'float': lambda v: float(v),
+}
+
+
+def _coerce_bool(v):
+    if isinstance(v, bool):
+        return v
+    if isinstance(v, str):
+        if v.lower() == 'true':
+            return True
+        if v.lower() == 'false':
+            return False
+        raise ValueError(f'Cannot convert string {v!r} to bool')
+    return bool(v)
+
+
+def _coerce_value(value, expected_type: str):
+    """Convert a single value to the expected type.
+
+    Returns the converted value, or the original value if no conversion needed.
+    """
+    if value is None:
+        return value
+
+    if expected_type == 'boolean':
+        if isinstance(value, bool):
+            return value
+        return _coerce_bool(value)
+
+    coerce_fn = _COERCE_MAP.get(expected_type)
+    if coerce_fn is None:
+        return value
+
+    # Already the correct type
+    if expected_type == 'integer' and isinstance(value, int) and not isinstance(value, bool):
+        return value
+    if expected_type in ('number', 'float') and isinstance(value, (int, float)) and not isinstance(value, bool):
+        return float(value)
+
+    return coerce_fn(value)
+
+
+def coerce_pipeline_config(
+    config: dict,
+    *metadata_list: dict,
+) -> None:
+    """Coerce pipeline config values according to metadata type definitions.
+
+    Walks each metadata dict (trigger, safety, ai, output) and converts
+    config values in-place so that strings coming from the JSON column are
+    cast to their declared types (integer, number/float, boolean).
+
+    Args:
+        config: The pipeline config dict to modify in-place.
+        *metadata_list: Metadata dicts loaded from the YAML templates.
+    """
+    for meta in metadata_list:
+        section_name = meta.get('name')
+        if not section_name or section_name not in config:
+            continue
+
+        section = config[section_name]
+        if not isinstance(section, dict):
+            continue
+
+        for stage_def in meta.get('stages', []):
+            stage_name = stage_def.get('name')
+            if not stage_name or stage_name not in section:
+                continue
+
+            stage_config = section[stage_name]
+            if not isinstance(stage_config, dict):
+                continue
+
+            for field_def in stage_def.get('config', []):
+                field_name = field_def.get('name')
+                field_type = field_def.get('type')
+                if not field_name or not field_type or field_name not in stage_config:
+                    continue
+
+                old_value = stage_config[field_name]
+                try:
+                    new_value = _coerce_value(old_value, field_type)
+                    if new_value is not old_value:
+                        stage_config[field_name] = new_value
+                except (ValueError, TypeError) as e:
+                    logger.warning(
+                        'Failed to coerce config %s.%s.%s (%r) to %s: %s',
+                        section_name,
+                        stage_name,
+                        field_name,
+                        old_value,
+                        field_type,
+                        e,
+                    )
--- a/src/langbot/pkg/pipeline/pipelinemgr.py
+++ b/src/langbot/pkg/pipeline/pipelinemgr.py
@@ -13,6 +13,7 @@ import langbot_plugin.api.entities.builtin.platform.message as platform_message
 import langbot_plugin.api.entities.builtin.platform.events as platform_events
 import langbot_plugin.api.entities.events as events
 from ..utils import importutil
+from .config_coercion import coerce_pipeline_config

 import langbot_plugin.api.entities.builtin.provider.session as provider_session
 import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
@@ -420,6 +421,14 @@ class PipelineManager:
        elif isinstance(pipeline_entity, dict):
            pipeline_entity = persistence_pipeline.LegacyPipeline(**pipeline_entity)

+        coerce_pipeline_config(
+            pipeline_entity.config,
+            getattr(self.ap, 'pipeline_config_meta_trigger', {'name': 'trigger', 'stages': []}),
+            getattr(self.ap, 'pipeline_config_meta_safety', {'name': 'safety', 'stages': []}),
+            getattr(self.ap, 'pipeline_config_meta_ai', {'name': 'ai', 'stages': []}),
+            getattr(self.ap, 'pipeline_config_meta_output', {'name': 'output', 'stages': []}),
+        )
+
        # initialize stage containers according to pipeline_entity.stages
        stage_containers: list[StageInstContainer] = []
        for stage_name in pipeline_entity.stages:
--- a/src/langbot/pkg/platform/botmgr.py
+++ b/src/langbot/pkg/platform/botmgr.py
@@ -282,6 +282,8 @@ class PlatformManager:
        return runtime_bot

    async def get_bot_by_uuid(self, bot_uuid: str) -> RuntimeBot | None:
+        if self.websocket_proxy_bot and self.websocket_proxy_bot.bot_entity.uuid == bot_uuid:
+            return self.websocket_proxy_bot
        for bot in self.bots:
            if bot.bot_entity.uuid == bot_uuid:
                return bot
--- a/src/langbot/pkg/platform/sources/websocket_adapter.py
+++ b/src/langbot/pkg/platform/sources/websocket_adapter.py
@@ -37,16 +37,24 @@ class WebSocketSession:
    id: str
    message_lists: dict[str, list[WebSocketMessage]] = {}
    """消息列表 {pipeline_uuid: [messages]}"""
+    stream_message_indexes: dict[str, dict[str, int]] = {}
+    """流式消息索引 {pipeline_uuid: {resp_message_id: message_index}}"""

    def __init__(self, id: str):
        self.id = id
        self.message_lists = {}
+        self.stream_message_indexes = {}

    def get_message_list(self, pipeline_uuid: str) -> list[WebSocketMessage]:
        if pipeline_uuid not in self.message_lists:
            self.message_lists[pipeline_uuid] = []
        return self.message_lists[pipeline_uuid]

+    def get_stream_message_indexes(self, pipeline_uuid: str) -> dict[str, int]:
+        if pipeline_uuid not in self.stream_message_indexes:
+            self.stream_message_indexes[pipeline_uuid] = {}
+        return self.stream_message_indexes[pipeline_uuid]
+

 class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
    """WebSocket适配器 - 支持双向实时通信"""
@@ -89,20 +97,46 @@ class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
        target_id: str,
        message: platform_message.MessageChain,
    ) -> dict:
-        """发送消息 - 这里用于主动推送消息到前端"""
-        message_data = {
-            'type': 'bot_message',
-            'target_type': target_type,
-            'target_id': target_id,
-            'content': str(message),
-            'message_chain': [component.__dict__ for component in message],
-            'timestamp': datetime.now().isoformat(),
-        }
+        """发送消息 - 这里用于主动推送消息到前端

-        # 推送到所有相关连接
-        await self.outbound_message_queue.put(message_data)
+        对于 WebSocket 适配器，我们需要将消息广播到正确的 pipeline 连接。
+        target_id 可能是 launcher_id（如 websocket_xxx）或 pipeline_uuid。
+        我们需要尝试两种方式来确保消息能够送达。
+        """
+        # 获取当前的 pipeline_uuid
+        pipeline_uuid = self.ap.platform_mgr.websocket_proxy_bot.bot_entity.use_pipeline_uuid
+        session_type = 'group' if target_type == 'group' else 'person'

-        return message_data
+        # 选择会话
+        session = self.websocket_group_session if session_type == 'group' else self.websocket_person_session
+
+        # 生成唯一消息ID
+        msg_id = len(session.get_message_list(pipeline_uuid)) + 1
+
+        message_data = WebSocketMessage(
+            id=msg_id,
+            role='assistant',
+            content=str(message),
+            message_chain=[component.__dict__ for component in message],
+            timestamp=datetime.now().isoformat(),
+            is_final=True,
+        )
+
+        # 保存到历史记录
+        session.get_message_list(pipeline_uuid).append(message_data)
+
+        # 直接广播到当前pipeline的连接
+        await ws_connection_manager.broadcast_to_pipeline(
+            pipeline_uuid,
+            {
+                'type': 'response',
+                'session_type': session_type,
+                'data': message_data.model_dump(),
+            },
+            session_type=session_type,
+        )
+
+        return message_data.model_dump()

    async def reply_message(
        self,
@@ -169,10 +203,16 @@ class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
        pipeline_uuid = self.ap.platform_mgr.websocket_proxy_bot.bot_entity.use_pipeline_uuid
        session_type = 'group' if isinstance(message_source, platform_events.GroupMessage) else 'person'
        message_list = session.get_message_list(pipeline_uuid)
+        stream_message_indexes = session.get_stream_message_indexes(pipeline_uuid)

-        # 检查是否是新的流式消息（通过bot_message对象判断）
-        # 如果列表为空，或者最后一条消息已经is_final=True，则创建新消息
-        if not message_list or message_list[-1].is_final:
+        # Streaming messages in LangBot have a stable resp_message_id during the same assistant reply.
+        # Use it as the primary key to avoid overwriting an old card from a previous reply.
+        resp_message_id = str(getattr(bot_message, 'resp_message_id', '') or '')
+        existing_index = stream_message_indexes.get(resp_message_id) if resp_message_id else None
+
+        message_is_final = is_final and bot_message.tool_calls is None
+
+        if existing_index is None or existing_index >= len(message_list):
            # 创建新消息
            msg_id = len(message_list) + 1
            message_data = WebSocketMessage(
@@ -181,27 +221,31 @@ class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
                content=str(message),
                message_chain=[component.__dict__ for component in message],
                timestamp=datetime.now().isoformat(),
-                is_final=is_final and bot_message.tool_calls is None,
+                is_final=message_is_final,
            )

-            # 只有在is_final时才保存到历史记录
-            if is_final and bot_message.tool_calls is None:
-                message_list.append(message_data)
+            # 立即添加到历史记录（即使is_final=False），以便后续块可以更新它
+            message_list.append(message_data)
+            if resp_message_id:
+                stream_message_indexes[resp_message_id] = len(message_list) - 1
        else:
-            # 更新最后一条消息
-            msg_id = message_list[-1].id
+            # 更新同一条流式消息
+            old_message = message_list[existing_index]
+            msg_id = old_message.id
            message_data = WebSocketMessage(
                id=msg_id,
                role='assistant',
                content=str(message),
                message_chain=[component.__dict__ for component in message],
-                timestamp=message_list[-1].timestamp,  # 保持原始时间戳
-                is_final=is_final and bot_message.tool_calls is None,
+                timestamp=old_message.timestamp,  # 保持原始时间戳
+                is_final=message_is_final,
            )

-            # 如果是final，更新历史记录中的最后一条
-            if is_final and bot_message.tool_calls is None:
-                message_list[-1] = message_data
+            # 更新历史记录中的对应消息
+            message_list[existing_index] = message_data
+
+        if message_is_final and resp_message_id:
+            stream_message_indexes.pop(resp_message_id, None)

        # 直接广播到所有该pipeline的连接，包含session_type信息
        await ws_connection_manager.broadcast_to_pipeline(
@@ -410,6 +454,10 @@ class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
        if session_type == 'person':
            if pipeline_uuid in self.websocket_person_session.message_lists:
                self.websocket_person_session.message_lists[pipeline_uuid] = []
+            if pipeline_uuid in self.websocket_person_session.stream_message_indexes:
+                self.websocket_person_session.stream_message_indexes[pipeline_uuid] = {}
        else:
            if pipeline_uuid in self.websocket_group_session.message_lists:
                self.websocket_group_session.message_lists[pipeline_uuid] = []
+            if pipeline_uuid in self.websocket_group_session.stream_message_indexes:
+                self.websocket_group_session.stream_message_indexes[pipeline_uuid] = {}
--- a/src/langbot/pkg/plugin/handler.py
+++ b/src/langbot/pkg/plugin/handler.py
@@ -337,7 +337,14 @@ class RuntimeConnectionHandler(handler.Handler):
                )

            messages_obj = [provider_message.Message.model_validate(message) for message in messages]
-            funcs_obj = [resource_tool.LLMTool.model_validate(func) for func in funcs]
+
+            # The func field is excluded during model_dump() in plugin side (marked as exclude=True),
+            # but it's a required field for LLMTool validation. We need to provide a placeholder
+            # function when reconstructing the LLMTool objects from serialized data.
+            async def _placeholder_func(**kwargs):
+                pass
+
+            funcs_obj = [resource_tool.LLMTool.model_validate({**func, 'func': _placeholder_func}) for func in funcs]

            result = await llm_model.provider.invoke_llm(
                query=None,
--- a/src/langbot/pkg/utils/constants.py
+++ b/src/langbot/pkg/utils/constants.py
@@ -2,7 +2,7 @@ import langbot

 semantic_version = f'v{langbot.__version__}'

-required_database_version = 19
+required_database_version = 20
 """Tag the version of the database schema, used to check if the database needs to be migrated"""

 debug_mode = False
--- a/tests/unit_tests/pipeline/test_config_coercion.py
+++ b/tests/unit_tests/pipeline/test_config_coercion.py
@@ -0,0 +1,113 @@
+"""Unit tests for config_coercion module"""
+
+from __future__ import annotations
+
+import pytest
+
+from langbot.pkg.pipeline.config_coercion import _coerce_value, coerce_pipeline_config
+
+
+class TestCoerceValue:
+    """Tests for _coerce_value function"""
+
+    def test_none_passthrough(self):
+        assert _coerce_value(None, 'integer') is None
+        assert _coerce_value(None, 'boolean') is None
+
+    def test_string_to_integer(self):
+        assert _coerce_value('120', 'integer') == 120
+        assert _coerce_value('0', 'integer') == 0
+        assert _coerce_value('-5', 'integer') == -5
+
+    def test_integer_passthrough(self):
+        assert _coerce_value(42, 'integer') == 42
+
+    def test_string_to_float(self):
+        assert _coerce_value('3.14', 'number') == 3.14
+        assert _coerce_value('3.14', 'float') == 3.14
+
+    def test_int_to_float(self):
+        assert _coerce_value(3, 'number') == 3.0
+        assert isinstance(_coerce_value(3, 'number'), float)
+
+    def test_float_passthrough(self):
+        assert _coerce_value(3.14, 'float') == 3.14
+
+    def test_string_to_bool(self):
+        assert _coerce_value('true', 'boolean') is True
+        assert _coerce_value('True', 'boolean') is True
+        assert _coerce_value('false', 'boolean') is False
+        assert _coerce_value('False', 'boolean') is False
+
+    def test_bool_passthrough(self):
+        assert _coerce_value(True, 'boolean') is True
+        assert _coerce_value(False, 'boolean') is False
+
+    def test_invalid_bool_string_raises(self):
+        with pytest.raises(ValueError):
+            _coerce_value('notabool', 'boolean')
+
+    def test_unknown_type_passthrough(self):
+        assert _coerce_value('hello', 'string') == 'hello'
+        assert _coerce_value('hello', 'unknown') == 'hello'
+
+    def test_invalid_integer_raises(self):
+        with pytest.raises(ValueError):
+            _coerce_value('abc', 'integer')
+
+
+class TestCoercePipelineConfig:
+    """Tests for coerce_pipeline_config function"""
+
+    def _make_meta(self, section_name: str, stage_name: str, fields: list[dict]) -> dict:
+        return {
+            'name': section_name,
+            'stages': [{'name': stage_name, 'config': fields}],
+        }
+
+    def test_coerce_integer_in_config(self):
+        config = {'trigger': {'misc': {'timeout': '120'}}}
+        meta = self._make_meta('trigger', 'misc', [{'name': 'timeout', 'type': 'integer'}])
+        coerce_pipeline_config(config, meta)
+        assert config['trigger']['misc']['timeout'] == 120
+
+    def test_coerce_boolean_in_config(self):
+        config = {'output': {'misc': {'at-sender': 'true'}}}
+        meta = self._make_meta('output', 'misc', [{'name': 'at-sender', 'type': 'boolean'}])
+        coerce_pipeline_config(config, meta)
+        assert config['output']['misc']['at-sender'] is True
+
+    def test_missing_section_skipped(self):
+        config = {'ai': {}}
+        meta = self._make_meta('trigger', 'misc', [{'name': 'x', 'type': 'integer'}])
+        coerce_pipeline_config(config, meta)  # should not raise
+
+    def test_missing_field_skipped(self):
+        config = {'trigger': {'misc': {}}}
+        meta = self._make_meta('trigger', 'misc', [{'name': 'nonexistent', 'type': 'integer'}])
+        coerce_pipeline_config(config, meta)  # should not raise
+
+    def test_invalid_value_logs_warning(self, caplog):
+        config = {'trigger': {'misc': {'timeout': 'abc'}}}
+        meta = self._make_meta('trigger', 'misc', [{'name': 'timeout', 'type': 'integer'}])
+        import logging
+
+        with caplog.at_level(logging.WARNING):
+            coerce_pipeline_config(config, meta)
+        assert config['trigger']['misc']['timeout'] == 'abc'  # unchanged
+        assert 'Failed to coerce' in caplog.text
+
+    def test_empty_metadata(self):
+        config = {'trigger': {'misc': {'timeout': '120'}}}
+        coerce_pipeline_config(config)  # no metadata args, should not raise
+
+    def test_multiple_metadata(self):
+        config = {
+            'trigger': {'misc': {'timeout': '120'}},
+            'output': {'misc': {'at-sender': 'false'}},
+        }
+        meta_trigger = self._make_meta('trigger', 'misc', [{'name': 'timeout', 'type': 'integer'}])
+        meta_output = self._make_meta('output', 'misc', [{'name': 'at-sender', 'type': 'boolean'}])
+        coerce_pipeline_config(config, meta_trigger, meta_output)
+        assert config['trigger']['misc']['timeout'] == 120
+        assert config['output']['misc']['at-sender'] is False
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.11, <4.0"
 resolution-markers = [
    "python_full_version >= '3.14' and sys_platform == 'win32'",
@@ -964,6 +964,30 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/bc/58/6b3d24e6b9bc474a2dcdee65dfd1f008867015408a271562e4b690561a4d/cryptography-46.0.5-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:8456928655f856c6e1533ff59d5be76578a7157224dbd9ce6872f25055ab9ab7", size = 3407605, upload-time = "2026-02-10T19:18:29.233Z" },
 ]

+[[package]]
+name = "cuda-bindings"
+version = "12.9.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cuda-pathfinder", marker = "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/45/e7/b47792cc2d01c7e1d37c32402182524774dadd2d26339bd224e0e913832e/cuda_bindings-12.9.4-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c912a3d9e6b6651853eed8eed96d6800d69c08e94052c292fec3f282c5a817c9", size = 12210593, upload-time = "2025-10-21T14:51:36.574Z" },
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 name = "tqdm"
 version = "4.67.2"
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 ]

+[[package]]
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+    { name = "numpy", marker = "python_full_version >= '3.14'" },
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+    { name = "pyyaml", marker = "python_full_version >= '3.14'" },
+    { name = "regex", marker = "python_full_version >= '3.14'" },
+    { name = "safetensors", marker = "python_full_version >= '3.14'" },
+    { name = "tokenizers", marker = "python_full_version >= '3.14'" },
+    { name = "tqdm", marker = "python_full_version >= '3.14'" },
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+
 [[package]]
 name = "typer"
 version = "0.21.1"
--- a/web/src/app/home/knowledge/KBDetailDialog.tsx
+++ b/web/src/app/home/knowledge/KBDetailDialog.tsx
@@ -22,6 +22,7 @@ import { Button } from '@/components/ui/button';
 import { useTranslation } from 'react-i18next';
 import { httpClient } from '@/app/infra/http/HttpClient';
 import { KnowledgeBase } from '@/app/infra/entities/api';
+import { CustomApiError } from '@/app/infra/entities/common';
 import { toast } from 'sonner';
 import KBForm from '@/app/home/knowledge/components/kb-form/KBForm';
 import KBDoc from '@/app/home/knowledge/components/kb-docs/KBDoc';
@@ -68,7 +69,9 @@ export default function KBDetailDialog({
      setKbInfo(resp.base);
    } catch (e) {
      console.error('Failed to load KB info:', e);
-      toast.error(t('knowledge.loadKnowledgeBaseFailed'));
+      toast.error(
+        t('knowledge.loadKnowledgeBaseFailed') + (e as CustomApiError).msg,
+      );
    }
  }

@@ -136,7 +139,9 @@ export default function KBDetailDialog({
      onKbDeleted();
    } catch (e) {
      console.error('Failed to delete KB:', e);
-      toast.error(t('knowledge.deleteKnowledgeBaseFailed'));
+      toast.error(
+        t('knowledge.deleteKnowledgeBaseFailed') + (e as CustomApiError).msg,
+      );
    } finally {
      setShowDeleteConfirm(false);
    }
--- a/web/src/app/home/knowledge/components/kb-docs/FileUploadZone.tsx
+++ b/web/src/app/home/knowledge/components/kb-docs/FileUploadZone.tsx
@@ -12,7 +12,7 @@ import { httpClient } from '@/app/infra/http/HttpClient';
 import { toast } from 'sonner';
 import { useTranslation } from 'react-i18next';
 import { ParserInfo } from '@/app/infra/entities/api';
-import { I18nObject } from '@/app/infra/entities/common';
+import { CustomApiError, I18nObject } from '@/app/infra/entities/common';
 import { extractI18nObject } from '@/i18n/I18nProvider';

 interface FileUploadZoneProps {
@@ -97,7 +97,9 @@ export default function FileUploadZone({
        onUploadSuccess();
      } catch (error) {
        console.error('File upload failed:', error);
-        const errorMessage = t('knowledge.documentsTab.uploadError');
+        const errorMessage =
+          t('knowledge.documentsTab.uploadError') +
+          (error as CustomApiError).msg;
        toast.error(errorMessage, { id: toastId });
        onUploadError(errorMessage);
      } finally {
--- a/web/src/app/home/knowledge/components/kb-docs/KBDoc.tsx
+++ b/web/src/app/home/knowledge/components/kb-docs/KBDoc.tsx
@@ -1,7 +1,7 @@
 import { useCallback, useEffect, useRef, useState } from 'react';
 import { httpClient } from '@/app/infra/http/HttpClient';
 import { KnowledgeBaseFile } from '@/app/infra/entities/api';
-import { I18nObject } from '@/app/infra/entities/common';
+import { I18nObject, CustomApiError } from '@/app/infra/entities/common';
 import { columns, DocumentFile } from './documents/columns';
 import { DataTable } from './documents/data-table';
 import FileUploadZone from './FileUploadZone';
@@ -87,7 +87,10 @@ export default function KBDoc({
      })
      .catch((error) => {
        console.error('Delete failed:', error);
-        toast.error(t('knowledge.documentsTab.fileDeleteFailed'));
+        toast.error(
+          t('knowledge.documentsTab.fileDeleteFailed') +
+            (error as CustomApiError).msg,
+        );
      });
  };

--- a/web/src/app/home/knowledge/components/kb-form/KBForm.tsx
+++ b/web/src/app/home/knowledge/components/kb-form/KBForm.tsx
@@ -23,6 +23,7 @@ import {
  SelectValue,
 } from '@/components/ui/select';
 import { KnowledgeBase, KnowledgeEngine } from '@/app/infra/entities/api';
+import { CustomApiError } from '@/app/infra/entities/common';
 import { toast } from 'sonner';
 import { extractI18nObject } from '@/i18n/I18nProvider';
 import DynamicFormComponent from '@/app/home/components/dynamic-form/DynamicFormComponent';
@@ -217,7 +218,10 @@ export default function KBForm({
        })
        .catch((err) => {
          console.error('update knowledge base failed', err);
-          toast.error(t('knowledge.updateKnowledgeBaseFailed'));
+          toast.error(
+            t('knowledge.updateKnowledgeBaseFailed') +
+              (err as CustomApiError).msg,
+          );
        });
    } else {
      // Create knowledge base
@@ -228,7 +232,10 @@ export default function KBForm({
        })
        .catch((err) => {
          console.error('create knowledge base failed', err);
-          toast.error(t('knowledge.createKnowledgeBaseFailed'));
+          toast.error(
+            t('knowledge.createKnowledgeBaseFailed') +
+              (err as CustomApiError).msg,
+          );
        });
    }
  };
--- a/web/src/app/home/knowledge/components/kb-migration-dialog/KBMigrationDialog.tsx
+++ b/web/src/app/home/knowledge/components/kb-migration-dialog/KBMigrationDialog.tsx
@@ -0,0 +1,157 @@
+'use client';
+
+import { useState } from 'react';
+import {
+  Dialog,
+  DialogContent,
+  DialogHeader,
+  DialogTitle,
+  DialogDescription,
+  DialogFooter,
+} from '@/components/ui/dialog';
+import { Button } from '@/components/ui/button';
+import { useTranslation } from 'react-i18next';
+import { httpClient } from '@/app/infra/http/HttpClient';
+import { useAsyncTask, AsyncTaskStatus } from '@/hooks/useAsyncTask';
+import { toast } from 'sonner';
+import { Loader2 } from 'lucide-react';
+
+interface KBMigrationDialogProps {
+  open: boolean;
+  onOpenChange: (open: boolean) => void;
+  internalKbCount: number;
+  externalKbCount: number;
+  onMigrationComplete: () => void;
+}
+
+export default function KBMigrationDialog({
+  open,
+  onOpenChange,
+  internalKbCount,
+  externalKbCount,
+  onMigrationComplete,
+}: KBMigrationDialogProps) {
+  const { t } = useTranslation();
+  const [dismissing, setDismissing] = useState(false);
+
+  const asyncTask = useAsyncTask({
+    onSuccess: () => {
+      toast.success(t('knowledge.migration.success'));
+      onOpenChange(false);
+      onMigrationComplete();
+    },
+    onError: (error) => {
+      toast.error(`${t('knowledge.migration.error')}${error}`);
+    },
+  });
+
+  const handleMigration = async (installPlugin: boolean) => {
+    try {
+      const resp = await httpClient.executeRagMigration(installPlugin);
+      asyncTask.startTask(resp.task_id);
+    } catch {
+      toast.error(t('knowledge.migration.error'));
+    }
+  };
+
+  const handleDismiss = async () => {
+    setDismissing(true);
+    try {
+      await httpClient.dismissRagMigration();
+      onOpenChange(false);
+    } catch {
+      toast.error(t('knowledge.migration.dismissError'));
+    } finally {
+      setDismissing(false);
+    }
+  };
+
+  const isRunning = asyncTask.status === AsyncTaskStatus.RUNNING;
+  const isError = asyncTask.status === AsyncTaskStatus.ERROR;
+  const totalCount = internalKbCount + externalKbCount;
+
+  return (
+    <Dialog
+      open={open}
+      onOpenChange={(v) => {
+        if (!isRunning) onOpenChange(v);
+      }}
+    >
+      <DialogContent className="sm:max-w-md">
+        <DialogHeader>
+          <DialogTitle>{t('knowledge.migration.title')}</DialogTitle>
+          <DialogDescription>
+            {t('knowledge.migration.description')}
+          </DialogDescription>
+        </DialogHeader>
+
+        <div className="py-4 space-y-3">
+          {!isRunning && !isError && (
+            <p className="text-sm text-muted-foreground">
+              {t('knowledge.migration.detected', {
+                total: totalCount,
+                internal: internalKbCount,
+                external: externalKbCount,
+              })}
+            </p>
+          )}
+
+          {isRunning && (
+            <div className="flex items-center gap-3">
+              <Loader2 className="h-5 w-5 animate-spin text-primary" />
+              <p className="text-sm">{t('knowledge.migration.running')}</p>
+            </div>
+          )}
+
+          {isError && (
+            <div className="space-y-2">
+              <p className="text-sm text-destructive">
+                {t('knowledge.migration.error')}
+              </p>
+              {asyncTask.error && (
+                <p className="text-xs text-muted-foreground bg-muted p-2 rounded">
+                  {asyncTask.error}
+                </p>
+              )}
+            </div>
+          )}
+        </div>
+
+        <DialogFooter className="flex flex-col gap-2 sm:flex-col">
+          {!isRunning && !isError && (
+            <>
+              <Button onClick={() => handleMigration(true)} className="w-full">
+                {t('knowledge.migration.startWithInstall')}
+              </Button>
+              <Button
+                variant="outline"
+                onClick={() => handleMigration(false)}
+                className="w-full"
+              >
+                {t('knowledge.migration.startDataOnly')}
+              </Button>
+              <p className="text-xs text-muted-foreground text-center">
+                {t('knowledge.migration.dataOnlyHint')}
+              </p>
+            </>
+          )}
+          {isError && (
+            <Button onClick={() => handleMigration(true)} className="w-full">
+              {t('knowledge.migration.retry')}
+            </Button>
+          )}
+          {!isRunning && (
+            <Button
+              variant="ghost"
+              onClick={handleDismiss}
+              disabled={dismissing}
+              className="w-full text-destructive hover:text-destructive"
+            >
+              {t('knowledge.migration.dismiss')}
+            </Button>
+          )}
+        </DialogFooter>
+      </DialogContent>
+    </Dialog>
+  );
+}
--- a/web/src/app/home/knowledge/components/kb-retrieve/KBRetrieveGeneric.tsx
+++ b/web/src/app/home/knowledge/components/kb-retrieve/KBRetrieveGeneric.tsx
@@ -6,6 +6,7 @@ import { Button } from '@/components/ui/button';
 import { Input } from '@/components/ui/input';
 import { useTranslation } from 'react-i18next';
 import { RetrieveResult } from '@/app/infra/entities/api';
+import { CustomApiError } from '@/app/infra/entities/common';
 import { toast } from 'sonner';

 interface KBRetrieveGenericProps {
@@ -41,7 +42,7 @@ export default function KBRetrieveGeneric({
      setResults(response.results);
    } catch (error) {
      console.error('Retrieve failed:', error);
-      toast.error(t('knowledge.retrieveError'));
+      toast.error(t('knowledge.retrieveError') + (error as CustomApiError).msg);
    } finally {
      setLoading(false);
    }
--- a/web/src/app/home/knowledge/page.tsx
+++ b/web/src/app/home/knowledge/page.tsx
@@ -7,6 +7,7 @@ import { useEffect, useState } from 'react';
 import { KnowledgeBaseVO } from '@/app/home/knowledge/components/kb-card/KBCardVO';
 import KBCard from '@/app/home/knowledge/components/kb-card/KBCard';
 import KBDetailDialog from '@/app/home/knowledge/KBDetailDialog';
+import KBMigrationDialog from '@/app/home/knowledge/components/kb-migration-dialog/KBMigrationDialog';
 import { httpClient } from '@/app/infra/http/HttpClient';
 import { KnowledgeBase } from '@/app/infra/entities/api';

@@ -18,10 +19,29 @@ export default function KnowledgePage() {
  const [selectedKbId, setSelectedKbId] = useState<string>('');
  const [detailDialogOpen, setDetailDialogOpen] = useState(false);

+  // Migration dialog state
+  const [migrationDialogOpen, setMigrationDialogOpen] = useState(false);
+  const [migrationInternalCount, setMigrationInternalCount] = useState(0);
+  const [migrationExternalCount, setMigrationExternalCount] = useState(0);
+
  useEffect(() => {
    getKnowledgeBaseList();
+    checkMigrationStatus();
  }, []);

+  async function checkMigrationStatus() {
+    try {
+      const resp = await httpClient.getRagMigrationStatus();
+      if (resp.needed) {
+        setMigrationInternalCount(resp.internal_kb_count);
+        setMigrationExternalCount(resp.external_kb_count);
+        setMigrationDialogOpen(true);
+      }
+    } catch {
+      // Silently ignore - migration check is non-critical
+    }
+  }
+
  async function getKnowledgeBaseList() {
    const resp = await httpClient.getKnowledgeBases();

@@ -85,8 +105,20 @@ export default function KnowledgePage() {
    getKnowledgeBaseList();
  };

+  const handleMigrationComplete = () => {
+    getKnowledgeBaseList();
+  };
+
  return (
    <div>
+      <KBMigrationDialog
+        open={migrationDialogOpen}
+        onOpenChange={setMigrationDialogOpen}
+        internalKbCount={migrationInternalCount}
+        externalKbCount={migrationExternalCount}
+        onMigrationComplete={handleMigrationComplete}
+      />
+
      <KBDetailDialog
        open={detailDialogOpen}
        onOpenChange={setDetailDialogOpen}
--- a/web/src/app/home/pipelines/components/pipeline-form/PipelineFormComponent.tsx
+++ b/web/src/app/home/pipelines/components/pipeline-form/PipelineFormComponent.tsx
@@ -120,6 +120,8 @@ export default function PipelineFormComponent({

  // Track unsaved changes by comparing current form values against a saved snapshot
  const savedSnapshotRef = useRef<string>('');
+  // Track which dynamic form stages have completed their initial mount emission.
+  const initializedStagesRef = useRef<Set<string>>(new Set());
  const watchedValues = form.watch();
  const hasUnsavedChanges = useMemo(() => {
    if (!isEditMode || !savedSnapshotRef.current) return false;
@@ -160,6 +162,7 @@ export default function PipelineFormComponent({
          };
          form.reset(loadedValues);
          savedSnapshotRef.current = JSON.stringify(loadedValues);
+          initializedStagesRef.current.clear();
        });
    }
  }, []);
@@ -235,6 +238,33 @@ export default function PipelineFormComponent({
      });
  }

+  // Called from DynamicFormComponent/N8nAuthFormComponent onSubmit callbacks.
+  // On the first emission for a stage (mount-time default filling), the
+  // snapshot is synchronously re-captured so that hasUnsavedChanges stays false.
+  function handleDynamicFormEmit(
+    formName: keyof FormValues,
+    stageName: string,
+    values: object,
+  ) {
+    const stageKey = `${String(formName)}.${stageName}`;
+    const isFirstEmission = !initializedStagesRef.current.has(stageKey);
+
+    const currentValues =
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      (form.getValues(formName) as Record<string, any>) || {};
+    form.setValue(formName, {
+      ...currentValues,
+      [stageName]: values,
+    });
+
+    if (isFirstEmission) {
+      initializedStagesRef.current.add(stageKey);
+      // Synchronously re-capture snapshot so that the useMemo comparison
+      // in the same render cycle still returns false.
+      savedSnapshotRef.current = JSON.stringify(form.getValues());
+    }
+  }
+
  function renderDynamicForms(
    stage: PipelineConfigStage,
    formName: keyof FormValues,
@@ -264,13 +294,7 @@ export default function PipelineFormComponent({
                {}
              }
              onSubmit={(values) => {
-                const currentValues =
-                  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-                  (form.getValues(formName) as Record<string, any>) || {};
-                form.setValue(formName, {
-                  ...currentValues,
-                  [stage.name]: values,
-                });
+                handleDynamicFormEmit(formName, stage.name, values);
              }}
            />
          </div>
@@ -302,13 +326,7 @@ export default function PipelineFormComponent({
                {}
              }
              onSubmit={(values) => {
-                const currentValues =
-                  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-                  (form.getValues(formName) as Record<string, any>) || {};
-                form.setValue(formName, {
-                  ...currentValues,
-                  [stage.name]: values,
-                });
+                handleDynamicFormEmit(formName, stage.name, values);
              }}
            />
          </div>
@@ -333,13 +351,7 @@ export default function PipelineFormComponent({
            (form.watch(formName) as Record<string, any>)?.[stage.name] || {}
          }
          onSubmit={(values) => {
-            const currentValues =
-              // eslint-disable-next-line @typescript-eslint/no-explicit-any
-              (form.getValues(formName) as Record<string, any>) || {};
-            form.setValue(formName, {
-              ...currentValues,
-              [stage.name]: values,
-            });
+            handleDynamicFormEmit(formName, stage.name, values);
          }}
        />
      </div>
--- a/web/src/app/home/plugins/components/plugin-market/RecommendationLists.tsx
+++ b/web/src/app/home/plugins/components/plugin-market/RecommendationLists.tsx
@@ -1,6 +1,6 @@
 'use client';

-import { useState } from 'react';
+import { useState, useRef, useEffect, useCallback } from 'react';
 import { ChevronLeft, ChevronRight, Star } from 'lucide-react';
 import { Button } from '@/components/ui/button';
 import PluginMarketCardComponent from './plugin-market-card/PluginMarketCardComponent';
@@ -18,7 +18,7 @@ export interface RecommendationList {
  plugins: PluginV4[];
 }

-const PAGE_SIZE = 4; // plugins per page in a recommendation row
+// Match the main plugin grid: grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4

 function pluginToVO(
  plugin: PluginV4,
@@ -54,11 +54,44 @@ function RecommendationListRow({
 }) {
  const { t } = useTranslation();
  const [page, setPage] = useState(0);
+  const [perPage, setPerPage] = useState(4);
+  const gridRef = useRef<HTMLDivElement>(null);

  const plugins = list.plugins || [];
-  const totalPages = Math.ceil(plugins.length / PAGE_SIZE);
-  const start = page * PAGE_SIZE;
-  const visiblePlugins = plugins.slice(start, start + PAGE_SIZE);
+
+  // Measure how many columns the CSS grid actually renders
+  const measureCols = useCallback(() => {
+    if (!gridRef.current) return;
+    const style = window.getComputedStyle(gridRef.current);
+    const cols = style.gridTemplateColumns.split(' ').length;
+    setPerPage(cols);
+  }, []);
+
+  useEffect(() => {
+    measureCols();
+    const observer = new ResizeObserver(measureCols);
+    if (gridRef.current) observer.observe(gridRef.current);
+    return () => observer.disconnect();
+  }, [measureCols]);
+
+  // Auto-advance every 5 seconds
+  useEffect(() => {
+    if (plugins.length <= perPage) return;
+    const timer = setInterval(() => {
+      setPage((p) => {
+        const tp = Math.max(1, Math.ceil(plugins.length / perPage));
+        return p >= tp - 1 ? 0 : p + 1;
+      });
+    }, 5000);
+    return () => clearInterval(timer);
+  }, [plugins.length, perPage]);
+
+  const totalPages = Math.max(1, Math.ceil(plugins.length / perPage));
+  const safePage = Math.min(page, totalPages - 1);
+  if (safePage !== page) setPage(safePage);
+
+  const start = safePage * perPage;
+  const visiblePlugins = plugins.slice(start, start + perPage);

  if (plugins.length === 0) return null;

@@ -77,19 +110,19 @@ function RecommendationListRow({
              variant="ghost"
              size="sm"
              onClick={() => setPage((p) => Math.max(0, p - 1))}
-              disabled={page === 0}
+              disabled={safePage === 0}
              className="h-7 w-7 p-0"
            >
              <ChevronLeft className="w-4 h-4" />
            </Button>
            <span className="text-xs text-muted-foreground px-1">
-              {page + 1} / {totalPages}
+              {safePage + 1} / {totalPages}
            </span>
            <Button
              variant="ghost"
              size="sm"
              onClick={() => setPage((p) => Math.min(totalPages - 1, p + 1))}
-              disabled={page >= totalPages - 1}
+              disabled={safePage >= totalPages - 1}
              className="h-7 w-7 p-0"
            >
              <ChevronRight className="w-4 h-4" />
@@ -97,7 +130,10 @@ function RecommendationListRow({
          </div>
        )}
      </div>
-      <div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4 gap-6">
+      <div
+        ref={gridRef}
+        className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4 gap-6"
+      >
        {visiblePlugins.map((plugin) => (
          <PluginMarketCardComponent
            key={plugin.author + ' / ' + plugin.name}
--- a/web/src/app/infra/entities/api/index.ts
+++ b/web/src/app/infra/entities/api/index.ts
@@ -262,6 +262,12 @@ export interface ApiRespSystemInfo {
  limitation: SystemLimitation;
 }

+export interface RagMigrationStatusResp {
+  needed: boolean;
+  internal_kb_count: number;
+  external_kb_count: number;
+}
+
 export interface ApiRespPluginSystemStatus {
  is_enable: boolean;
  is_connected: boolean;
--- a/web/src/app/infra/http/BackendClient.ts
+++ b/web/src/app/infra/http/BackendClient.ts
@@ -40,6 +40,7 @@ import {
  ModelProvider,
  ApiRespKnowledgeEngines,
  ApiRespParsers,
+  RagMigrationStatusResp,
 } from '@/app/infra/entities/api';
 import { Plugin } from '@/app/infra/entities/plugin';
 import { GetBotLogsRequest } from '@/app/infra/http/requestParam/bots/GetBotLogsRequest';
@@ -710,6 +711,23 @@ export class BackendClient extends BaseHttpClient {
    return this.get('/api/v1/system/status/plugin-system');
  }

+  // ============ RAG Migration API ============
+  public getRagMigrationStatus(): Promise<RagMigrationStatusResp> {
+    return this.get('/api/v1/knowledge/migration/status');
+  }
+
+  public executeRagMigration(
+    installPlugin: boolean = true,
+  ): Promise<AsyncTaskCreatedResp> {
+    return this.post('/api/v1/knowledge/migration/execute', {
+      install_plugin: installPlugin,
+    });
+  }
+
+  public dismissRagMigration(): Promise<object> {
+    return this.post('/api/v1/knowledge/migration/dismiss');
+  }
+
  public getPluginDebugInfo(): Promise<{
    debug_url: string;
    plugin_debug_key: string;
--- a/web/src/i18n/locales/en-US.ts
+++ b/web/src/i18n/locales/en-US.ts
@@ -707,7 +707,7 @@ const enUS = {
    cannotChangeEmbeddingModel:
      'Knowledge base created cannot be modified embedding model',
    updateKnowledgeBaseSuccess: 'Knowledge base updated successfully',
-    updateKnowledgeBaseFailed: 'Knowledge base update failed',
+    updateKnowledgeBaseFailed: 'Knowledge base update failed: ',
    documentsTab: {
      name: 'Name',
      status: 'Status',
@@ -717,14 +717,14 @@ const enUS = {
      supportedFormats:
        'Supports PDF, Word, TXT, Markdown, HTML, ZIP and other document formats',
      uploadSuccess: 'File uploaded successfully!',
-      uploadError: 'File upload failed, please try again',
+      uploadError: 'File upload failed: ',
      uploadingFile: 'Uploading file...',
      fileSizeExceeded:
        'File size exceeds 10MB limit. Please split into smaller files.',
      actions: 'Actions',
      delete: 'Delete File',
      fileDeleteSuccess: 'File deleted successfully',
-      fileDeleteFailed: 'File deletion failed',
+      fileDeleteFailed: 'File deletion failed: ',
      processing: 'Processing',
      completed: 'Completed',
      failed: 'Failed',
@@ -745,7 +745,7 @@ const enUS = {
    content: 'Content',
    fileName: 'File Name',
    noResults: 'No results',
-    retrieveError: 'Retrieve failed',
+    retrieveError: 'Retrieve failed: ',
    unknownEngine: 'Unknown Engine',
    knowledgeEngine: 'Knowledge Engine',
    knowledgeEngineRequired: 'Knowledge engine is required',
@@ -758,9 +758,9 @@ const enUS = {
    retrievalSettings: 'Retrieval Settings',
    noEnginesAvailable: 'No knowledge base engines available',
    installEngineHint: 'Please install a knowledge base plugin first',
-    createKnowledgeBaseFailed: 'Failed to create knowledge base',
-    loadKnowledgeBaseFailed: 'Failed to load knowledge base',
-    deleteKnowledgeBaseFailed: 'Failed to delete knowledge base',
+    createKnowledgeBaseFailed: 'Failed to create knowledge base: ',
+    loadKnowledgeBaseFailed: 'Failed to load knowledge base: ',
+    deleteKnowledgeBaseFailed: 'Failed to delete knowledge base: ',
    getKnowledgeBaseListError: 'Failed to get knowledge base list: ',
    embeddingModel: 'Embedding Model',
    embeddingModelRequired: 'Embedding model is required for this engine',
@@ -773,6 +773,23 @@ const enUS = {
    retrieverConfiguration: 'Retriever Configuration',
    retrieverInstallInfo: 'You can install Knowledge Retriever plugins from',
    retrieverMarketLink: 'here',
+    migration: {
+      title: 'Knowledge Base Migration',
+      description:
+        'The new version has refactored the knowledge base into a plugin-based architecture, unifying built-in and external knowledge bases as "Knowledge Engine" plugins. Migration of legacy knowledge base data is required. Your old data has been automatically backed up in the database.',
+      detected:
+        'Found {{total}} knowledge base(s) to migrate ({{internal}} internal, {{external}} external).',
+      startWithInstall: 'Auto-install Plugin & Migrate',
+      startDataOnly: 'Migrate Data Only',
+      dataOnlyHint:
+        '"Migrate Data Only" is for offline/intranet environments. Please install the corresponding plugin manually after migration.',
+      dismiss: 'Discard Original Data',
+      running: 'Migrating knowledge bases, please wait...',
+      success: 'Knowledge base migration completed',
+      error: 'Knowledge base migration failed: ',
+      dismissError: 'Operation failed',
+      retry: 'Retry',
+    },
  },
  register: {
    title: 'Initialize LangBot 👋',
--- a/web/src/i18n/locales/ja-JP.ts
+++ b/web/src/i18n/locales/ja-JP.ts
@@ -709,7 +709,7 @@ const jaJP = {
    cannotChangeEmbeddingModel:
      '知識ベース作成後は埋め込みモデルを変更できません',
    updateKnowledgeBaseSuccess: '知識ベースの更新に成功しました',
-    updateKnowledgeBaseFailed: '知識ベースの更新に失敗しました',
+    updateKnowledgeBaseFailed: '知識ベースの更新に失敗しました：',
    documentsTab: {
      name: '名前',
      status: 'ステータス',
@@ -720,14 +720,14 @@ const jaJP = {
      supportedFormats:
        'PDF、Word、TXT、Markdownなどのドキュメントファイルをサポートしています',
      uploadSuccess: 'ファイルのアップロードに成功しました！',
-      uploadError: 'ファイルのアップロードに失敗しました。再度お試しください',
+      uploadError: 'ファイルのアップロードに失敗しました：',
      uploadingFile: 'ファイルをアップロード中...',
      fileSizeExceeded:
        'ファイルサイズが10MBの制限を超えています。より小さいファイルに分割してください。',
      actions: 'アクション',
      delete: 'ドキュメントを削除',
      fileDeleteSuccess: 'ドキュメントの削除に成功しました',
-      fileDeleteFailed: 'ドキュメントの削除に失敗しました',
+      fileDeleteFailed: 'ドキュメントの削除に失敗しました：',
      processing: '処理中',
      completed: '完了',
      failed: '失敗',
@@ -748,10 +748,10 @@ const jaJP = {
    content: '内容',
    fileName: 'ファイル名',
    noResults: '検索結果がありません',
-    retrieveError: '検索に失敗しました',
+    retrieveError: '検索に失敗しました：',
    unknownEngine: '不明なエンジン',
-    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',
+    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：',
    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',
@@ -762,6 +762,23 @@ const jaJP = {
    retrieverConfiguration: '検索器設定',
    retrieverInstallInfo: 'ナレッジ検索器プラグインは',
    retrieverMarketLink: 'こちらからインストールできます',
+    migration: {
+      title: 'ナレッジベースの移行',
+      description:
+        '新バージョンではナレッジベースをプラグインベースのアーキテクチャに再構築し、内蔵ナレッジベースと外部ナレッジベースを「ナレッジエンジン」プラグインとして統合しました。旧ナレッジベースデータの移行が必要です。旧データはデータベースに自動的にバックアップされています。',
+      detected:
+        '移行が必要なナレッジベースが{{total}}件見つかりました（内部{{internal}}件、外部{{external}}件）。',
+      startWithInstall: 'プラグインを自動インストールして移行',
+      startDataOnly: 'データのみ移行',
+      dataOnlyHint:
+        '「データのみ移行」はオフライン環境向けです。移行完了後に対応するプラグインを手動でインストールしてください。',
+      dismiss: '元データを破棄',
+      running: 'ナレッジベースを移行中です。しばらくお待ちください...',
+      success: 'ナレッジベースの移行が完了しました',
+      error: 'ナレッジベースの移行に失敗しました：',
+      dismissError: '操作に失敗しました',
+      retry: 'リトライ',
+    },
  },
  register: {
    title: 'LangBot を初期化 👋',
--- a/web/src/i18n/locales/zh-Hans.ts
+++ b/web/src/i18n/locales/zh-Hans.ts
@@ -679,7 +679,7 @@ const zhHans = {
    updateTime: '更新于',
    cannotChangeEmbeddingModel: '知识库创建后不可修改嵌入模型',
    updateKnowledgeBaseSuccess: '知识库更新成功',
-    updateKnowledgeBaseFailed: '知识库更新失败',
+    updateKnowledgeBaseFailed: '知识库更新失败：',
    documentsTab: {
      name: '名称',
      status: '状态',
@@ -688,13 +688,13 @@ const zhHans = {
      uploading: '上传中...',
      supportedFormats: '支持 PDF、Word、TXT、Markdown、HTML、ZIP 等文档格式',
      uploadSuccess: '文件上传成功！',
-      uploadError: '文件上传失败，请重试',
+      uploadError: '文件上传失败：',
      uploadingFile: '上传文件中...',
      fileSizeExceeded: '文件大小超过 10MB 限制，请分割成较小的文件后上传',
      actions: '操作',
      delete: '删除文件',
      fileDeleteSuccess: '文件删除成功',
-      fileDeleteFailed: '文件删除失败',
+      fileDeleteFailed: '文件删除失败：',
      processing: '处理中',
      completed: '完成',
      failed: '失败',
@@ -715,7 +715,7 @@ const zhHans = {
    content: '内容',
    fileName: '文件名',
    noResults: '暂无结果',
-    retrieveError: '检索失败',
+    retrieveError: '检索失败：',
    unknownEngine: '未知引擎',
    knowledgeEngine: '知识引擎',
    knowledgeEngineRequired: '知识引擎不能为空',
@@ -727,9 +727,9 @@ const zhHans = {
    retrievalSettings: '检索设置',
    noEnginesAvailable: '没有可用的知识库引擎',
    installEngineHint: '请先安装知识库插件',
-    createKnowledgeBaseFailed: '知识库创建失败',
-    loadKnowledgeBaseFailed: '知识库加载失败',
-    deleteKnowledgeBaseFailed: '知识库删除失败',
+    createKnowledgeBaseFailed: '知识库创建失败：',
+    loadKnowledgeBaseFailed: '知识库加载失败：',
+    deleteKnowledgeBaseFailed: '知识库删除失败：',
    getKnowledgeBaseListError: '获取知识库列表失败：',
    embeddingModel: '嵌入模型',
    embeddingModelRequired: '此引擎需要选择嵌入模型',
@@ -742,6 +742,23 @@ const zhHans = {
    retrieverConfiguration: '检索器配置',
    retrieverInstallInfo: '您可以从',
    retrieverMarketLink: '此处安装知识检索器插件',
+    migration: {
+      title: '知识库迁移',
+      description:
+        '新版本已将知识库重构为插件化架构，并统一内置知识库和外部知识库为「知识引擎」插件，需要对旧知识库数据进行迁移。您的旧数据已自动备份在数据库中。',
+      detected:
+        '共检测到 {{total}} 个知识库需要迁移（{{internal}} 个内置知识库，{{external}} 个外部知识库）。',
+      startWithInstall: '自动安装插件并迁移',
+      startDataOnly: '仅迁移数据',
+      dataOnlyHint:
+        '「仅迁移数据」适合内网环境使用，请在迁移完成后自行安装对应插件',
+      dismiss: '丢弃原数据',
+      running: '正在迁移知识库，请稍候...',
+      success: '知识库迁移完成',
+      error: '知识库迁移失败：',
+      dismissError: '操作失败',
+      retry: '重试',
+    },
  },
  register: {
    title: '初始化 LangBot 👋',
--- a/web/src/i18n/locales/zh-Hant.ts
+++ b/web/src/i18n/locales/zh-Hant.ts
@@ -672,7 +672,7 @@ const zhHant = {
    updateTime: '更新於',
    cannotChangeEmbeddingModel: '知識庫建立後不可修改嵌入模型',
    updateKnowledgeBaseSuccess: '知識庫更新成功',
-    updateKnowledgeBaseFailed: '知識庫更新失敗',
+    updateKnowledgeBaseFailed: '知識庫更新失敗：',
    documentsTab: {
      name: '名稱',
      status: '狀態',
@@ -681,13 +681,13 @@ const zhHant = {
      uploading: '上傳中...',
      supportedFormats: '支援 PDF、Word、TXT、Markdown 等文檔格式',
      uploadSuccess: '文檔上傳成功！',
-      uploadError: '文檔上傳失敗，請重試',
+      uploadError: '文檔上傳失敗：',
      uploadingFile: '上傳文檔中...',
      fileSizeExceeded: '檔案大小超過 10MB 限制，請分割成較小的檔案後上傳',
      actions: '操作',
      delete: '刪除文檔',
      fileDeleteSuccess: '文檔刪除成功',
-      fileDeleteFailed: '文檔刪除失敗',
+      fileDeleteFailed: '文檔刪除失敗：',
      processing: '處理中',
      completed: '完成',
      failed: '失敗',
@@ -708,10 +708,10 @@ const zhHant = {
    content: '內容',
    fileName: '文檔名稱',
    noResults: '暫無結果',
-    retrieveError: '檢索失敗',
+    retrieveError: '檢索失敗：',
    unknownEngine: '未知引擎',
-    loadKnowledgeBaseFailed: '知識庫載入失敗',
-    deleteKnowledgeBaseFailed: '知識庫刪除失敗',
+    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：',
    addExternal: '添加外部知識庫',
    createExternalSuccess: '外部知識庫創建成功',
@@ -722,6 +722,23 @@ const zhHant = {
    retrieverConfiguration: '檢索器配置',
    retrieverInstallInfo: '您可以從',
    retrieverMarketLink: '此處安裝知識檢索器插件',
+    migration: {
+      title: '知識庫遷移',
+      description:
+        '新版本已將知識庫重構為插件化架構，並統一內建知識庫和外部知識庫為「知識引擎」插件，需要對舊知識庫資料進行遷移。您的舊資料已自動備份在資料庫中。',
+      detected:
+        '共檢測到 {{total}} 個知識庫需要遷移（{{internal}} 個內建知識庫，{{external}} 個外部知識庫）。',
+      startWithInstall: '自動安裝插件並遷移',
+      startDataOnly: '僅遷移資料',
+      dataOnlyHint:
+        '「僅遷移資料」適合內網環境使用，請在遷移完成後自行安裝對應插件',
+      dismiss: '丟棄原數據',
+      running: '正在遷移知識庫，請稍候...',
+      success: '知識庫遷移完成',
+      error: '知識庫遷移失敗：',
+      dismissError: '操作失敗',
+      retry: '重試',
+    },
  },
  register: {
    title: '初始化 LangBot 👋',
Author	SHA1	Message	Date
Junyan Qin	2e061a8713	feat: update version to 4.9.0 in pyproject.toml, __init__.py, and uv.lock	2026-03-09 20:09:00 +08:00
Junyan Qin	2cd8c56fe8	feat: update migration messages for knowledge base in multiple languages	2026-03-09 19:57:13 +08:00
youhuanghe	e09ae8f1a8	feat: add external plugin auto download	2026-03-09 09:55:12 +00:00
youhuanghe	aa7b0deb2b	fix: show	2026-03-09 09:26:29 +00:00
youhuanghe	1c9a800f9d	wq Merge branch 'master' into feat/dbm20-rag	2026-03-09 08:26:05 +00:00
youhuanghe	96f24d73d5	feat: add external migration	2026-03-09 08:18:23 +00:00
Guanchao Wang	d31f25c8df	Merge pull request #2041 from langbot-app/fix/websocket-chat-bug Fix/websocket chat bug	2026-03-09 16:11:17 +08:00
WangCham	11c05ea8db	style(format): fix ruff formatting issues	2026-03-09 16:04:38 +08:00
WangCham	2b8bd1cc71	fix: invoke_llm failed when use plugin	2026-03-09 16:01:45 +08:00
doujianghub	9148e02679	fix: centralized pipeline config type coercion to prevent string-type crashes (#2031 ) * fix: coerce pipeline config types at load time using metadata definitions Pipeline configs stored in SQLAlchemy JSON columns can have values turned into strings after UI edits (e.g. "120" instead of 120), causing runtime arithmetic/logic errors. Add centralized type coercion in load_pipeline() that leverages existing metadata YAML type definitions (integer, number, float, boolean) to convert values before they reach downstream stages. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: address review - defensive getattr + add unit tests for config_coercion - Use getattr with defaults for pipeline_config_meta_* attributes to avoid AttributeError when MockApplication lacks these fields - Add 18 unit tests for config_coercion module covering all code paths Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add dynamic form stage tracking and snapshot management * fix: standardize string formatting in config coercion and improve logging messages --------- Co-authored-by: KPC <kpc@kpc.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: Junyan Qin <rockchinq@gmail.com>	2026-03-09 14:30:07 +08:00
fdc310	fd15284d91	fix(platform): websocket send_message not delivering to webchat frontend (#2039 ) - Include websocket_proxy_bot in get_bot_by_uuid lookup so plugins can find it by uuid - Rewrite send_message to broadcast directly via ws_connection_manager using the correct pipeline_uuid instead of misusing target_id - Save messages to session history with unique IDs so they persist across page reloads and don't overwrite each other Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-09 13:22:03 +08:00
youhuanghe	14ea8ca7b6	fix ruff lint	2026-03-09 01:26:39 +00:00
youhuanghe	f0093dab69	fix lint	2026-03-09 01:23:56 +00:00
youhuanghe	c29e6586b3	refactor: to red and no more	2026-03-09 01:08:56 +00:00
youhuanghe	1b37dababa	feat(rag): add data-only migration option and fix dialog width Add option to migrate knowledge base data without auto-installing the LangRAG plugin (for offline/intranet environments). Also narrow the migration dialog to match other confirmation dialogs. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-08 15:05:05 +00:00
youhuanghe	8da52b6dc7	fix(rag): query marketplace for actual plugin version instead of 'latest' The marketplace API does not support 'latest' as a version string. Fetch the plugin info first to get latest_version, then use that concrete version for installation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-08 14:41:43 +00:00
youhuanghe	67c5c3af20	feat(rag): add knowledge base migration from v4.9.0 to plugin architecture Rewrite dbm020 to backup old knowledge_bases data and preserve external_knowledge_bases table. Add migration API endpoints and frontend dialog so users can opt-in to auto-install LangRAG plugin and restore their knowledge bases with original UUIDs preserved. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-08 14:17:34 +00:00
Junyan Qin	8c7a0ec027	fix: update langbot-plugin version to 0.3.0	2026-03-08 21:08:08 +08:00
youhuanghe	a1cef5c9bf	bugfix: update uv.lock	2026-03-08 11:10:03 +00:00
youhuanghe	90438cec36	lint: update web knowledge pnpm lint	2026-03-08 11:05:00 +00:00
youhuanghe	95dd19f4d7	bugfix: now knowledge toast right msg	2026-03-08 11:01:13 +00:00
youhuanghe	c64eb58cf8	feat: update pyseekdb version to 1.1.0.post3	2026-03-08 10:42:20 +00:00
Junyan Qin	fbd3d7ae3a	feat: enhance RecommendationLists component with responsive pagination and auto-advance functionality - Added dynamic column measurement to adjust the number of visible plugins based on the grid layout. - Implemented auto-advance feature for pagination every 5 seconds when there are more plugins than the visible count. - Updated pagination controls to reflect the current page accurately. - Refactored code to improve readability and maintainability.	2026-03-08 17:35:30 +08:00