refactor(web): drop redundant Manual/Scan tabs in model add popover

The model add/scan popover nested a second Manual/Scan tab row inside
the Chat/Embedding/Rerank type tabs. But ProviderCard already opens the
popover from two distinct entry points (Add -> manual, Scan -> scan via
initialMode), so the inner tabs were redundant. Render the manual form
or scan UI directly off `mode` and remove the inner Tabs/TabsList,
leaving a single clean tab row.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

Dockerfile

@@ -14,10 +14,22 @@ COPY . .
 
 COPY --from=node /app/web/dist ./web/dist
 
-RUN apt update \
-    && apt install gcc -y \
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends gcc ca-certificates curl gnupg \
+    # Install the Docker CLI (client only) so the optional langbot_box
+    # service can drive the mounted host Docker socket and create sandbox
+    # containers. The same image powers langbot / plugin_runtime / box; only
+    # box uses the client. Arch-aware via dpkg so multi-arch builds work.
+    && install -m 0755 -d /etc/apt/keyrings \
+    && curl -fsSL https://download.docker.com/linux/debian/gpg -o /etc/apt/keyrings/docker.asc \
+    && chmod a+r /etc/apt/keyrings/docker.asc \
+    && echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/debian $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable" > /etc/apt/sources.list.d/docker.list \
+    && apt-get update \
+    && apt-get install -y --no-install-recommends docker-ce-cli \
     && python -m pip install --no-cache-dir uv \
     && uv sync \
+    && apt-get purge -y --auto-remove curl gnupg \
+    && rm -rf /var/lib/apt/lists/* \
     && touch /.dockerenv
 
 CMD [ "uv", "run", "--no-sync", "main.py" ]

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.10.0-beta.2"
+version = "4.10.0"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -70,7 +70,7 @@ dependencies = [
     "chromadb>=1.0.0,<2.0.0",
     "qdrant-client (>=1.15.1,<2.0.0)",
     "pyseekdb==1.1.0.post3",
-    "langbot-plugin==0.4.0",
+    "langbot-plugin==0.4.1",
     "asyncpg>=0.30.0",
     "line-bot-sdk>=3.19.0",
     "matrix-nio>=0.25.2",

src/langbot/__init__.py

@@ -1,3 +1,3 @@
 """LangBot - Production-grade platform for building agentic IM bots"""
 
-__version__ = '4.10.0-beta.2'
+__version__ = '4.10.0'

src/langbot/pkg/plugin/connector.py

@@ -459,7 +459,7 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
                                         )
 
                                     file_bytes = download_resp.content
-                                    self._extract_deps_metadata(file_bytes, task_context)
+                                    self._inspect_plugin_package(file_bytes, task_context)
                                     file_key = await self.handler.send_file(file_bytes, 'lbpkg')
                                     install_info['plugin_file_key'] = file_key
                                     self.ap.logger.info(f'Transfered file {file_key} to plugin runtime')

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

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

uv.lock

@@ -1899,7 +1899,7 @@ wheels = [
 
 [[package]]
 name = "langbot"
-version = "4.10.0b1"
+version = "4.10.0"
 source = { editable = "." }
 dependencies = [
     { name = "aiocqhttp" },
@@ -2013,7 +2013,7 @@ requires-dist = [
     { name = "ebooklib", specifier = ">=0.18" },
     { name = "gewechat-client", specifier = ">=0.1.5" },
     { name = "html2text", specifier = ">=2024.2.26" },
-    { name = "langbot-plugin", specifier = "==0.4.0" },
+    { name = "langbot-plugin", specifier = "==0.4.1" },
     { name = "langchain", specifier = ">=0.2.0" },
     { name = "langchain-core", specifier = ">=1.2.28" },
     { name = "langchain-text-splitters", specifier = ">=1.1.2" },
@@ -2076,7 +2076,7 @@ dev = [
 
 [[package]]
 name = "langbot-plugin"
-version = "0.4.0"
+version = "0.4.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiofiles" },
@@ -2096,9 +2096,9 @@ dependencies = [
     { name = "watchdog" },
     { name = "websockets" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/9b/0d/709cb5641b802c4a92a177363675b2bd7d38f6921bd873001b759a98cf05/langbot_plugin-0.4.0.tar.gz", hash = "sha256:e8669676283f3fae434b65a53ffb6ea26ea5665922c88fa72d348bca7a5b2650", size = 288861, upload-time = "2026-06-03T02:53:17.046Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/b2/c1/b11ce66fb2537b257ff387b8b5b708e616e5a072ae04440e24807eb3b1cf/langbot_plugin-0.4.1.tar.gz", hash = "sha256:57d3f8cd6b6c33316792ebfa0c907b2240834a84f2b8c8034c6be7721b425059", size = 289249, upload-time = "2026-06-04T05:19:08.747Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/bb/14/17d2e42c54539fdc4a0287bc1975170d597d5f58604e011cfc352b53bd35/langbot_plugin-0.4.0-py3-none-any.whl", hash = "sha256:144cf5c7a4849c3db1485a13a698568fab0211a9ff7de6fc9965d72850aa9ef0", size = 203081, upload-time = "2026-06-03T02:53:15.762Z" },
+    { url = "https://files.pythonhosted.org/packages/72/e8/335023bb5e1310621c7b7d8ae4fcac179f119709eee9a8ba65b681f66a8e/langbot_plugin-0.4.1-py3-none-any.whl", hash = "sha256:a9c319a4abb6944ae3d9a491edbeb703842a87b42b4e3b1eafba666ec2beeee7", size = 203412, upload-time = "2026-06-04T05:19:09.936Z" },
 ]
 
 [[package]]

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

@@ -18,7 +18,7 @@ import {
   PopoverContent,
   PopoverTrigger,
 } from '@/components/ui/popover';
-import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
+import { Tabs, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { useTranslation } from 'react-i18next';
 import { ScannedProviderModel } from '@/app/infra/entities/api';
 import {
@@ -298,20 +298,8 @@ export default function AddModelPopover({
           </div>
 
           <div className="overflow-y-auto flex-1 min-h-0">
-            <Tabs
-              value={mode}
-              onValueChange={(v) => setMode(v as 'manual' | 'scan')}
-            >
-              {!trigger && (
-                <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">
+            {mode === 'manual' ? (
+              <div className="mt-3">
                 <div className="space-y-3">
                   <div className="space-y-2">
                     <Label>{t('models.modelName')}</Label>
@@ -390,9 +378,9 @@ export default function AddModelPopover({
                     </Button>
                   </div>
                 </div>
-              </TabsContent>
-
-              <TabsContent value="scan" className="space-y-2 mt-0 pt-0">
+              </div>
+            ) : (
+              <div className="space-y-2 mt-3">
                 {scanLoading ? (
                   <div className="flex items-center justify-center py-4">
                     <RefreshCw className="h-4 w-4 mr-2 animate-spin text-muted-foreground" />
@@ -565,8 +553,8 @@ export default function AddModelPopover({
                     />
                   </Button>
                 </div>
-              </TabsContent>
-            </Tabs>
+              </div>
+            )}
           </div>
         </Tabs>
       </PopoverContent>