feat: enhance LLM model creation with optional default pipeline setting

- Updated create_llm_model method to include auto_set_to_default_pipeline parameter.
- Adjusted ModelManager to set auto_set_to_default_pipeline to False when creating models.
- Improved logic for setting the default pipeline model based on the new parameter.

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

@@ -64,7 +64,9 @@ class LLMModelsService:
         models = result.all()
         return [self.ap.persistence_mgr.serialize_model(persistence_model.LLMModel, m) for m in models]
 
-    async def create_llm_model(self, model_data: dict, preserve_uuid: bool = False) -> str:
+    async def create_llm_model(
+        self, model_data: dict, preserve_uuid: bool = False, auto_set_to_default_pipeline: bool = True
+    ) -> str:
         """Create a new LLM model"""
         if not preserve_uuid:
             model_data['uuid'] = str(uuid.uuid4())
@@ -95,18 +97,19 @@ class LLMModelsService:
         )
         self.ap.model_mgr.llm_models.append(runtime_llm_model)
 
-        # set the default pipeline model to this model
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
-                persistence_pipeline.LegacyPipeline.is_default == True
+        if auto_set_to_default_pipeline:
+            # set the default pipeline model to this model
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
+                    persistence_pipeline.LegacyPipeline.is_default == True
+                )
             )
-        )
-        pipeline = result.first()
-        if pipeline is not None and pipeline.config['ai']['local-agent']['model'] == '':
-            pipeline_config = pipeline.config
-            pipeline_config['ai']['local-agent']['model'] = model_data['uuid']
-            pipeline_data = {'config': pipeline_config}
-            await self.ap.pipeline_service.update_pipeline(pipeline.uuid, pipeline_data)
+            pipeline = result.first()
+            if pipeline is not None and pipeline.config['ai']['local-agent']['model'] == '':
+                pipeline_config = pipeline.config
+                pipeline_config['ai']['local-agent']['model'] = model_data['uuid']
+                pipeline_data = {'config': pipeline_config}
+                await self.ap.pipeline_service.update_pipeline(pipeline.uuid, pipeline_data)
 
         return model_data['uuid']
 

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

@@ -149,6 +149,7 @@ class ModelManager:
                         'prefered_ranking': space_model.featured_order,
                     },
                     preserve_uuid=True,
+                    auto_set_to_default_pipeline=False,
                 )
 
             elif space_model.category == 'embedding':