Add knowledge retrieval configuration to Assistant model and related components

- Introduce new fields for knowledge retrieval configuration in AssistantConfig and Assistant models, including mode, top_n, and score_threshold.
- Implement KnowledgeRetrievalConfig schema with validation for top_n.
- Update backend services and routes to handle knowledge retrieval settings.
- Enhance frontend components to support knowledge retrieval configuration, including a new dialog for advanced settings.
- Add tests for knowledge retrieval configuration validation and description generation.

backend/services/config_resolver.py

@@ -8,6 +8,7 @@ from db.models import (
     Assistant,
     AssistantModelBinding,
     AssistantToolBinding,
+    KnowledgeBase,
     ModelResource,
     Tool,
 )
@@ -126,6 +127,11 @@ async def resolve_runtime_config(
         if assistant.vision_model_resource_id
         else llm_resource
     )
+    knowledge_base = (
+        await session.get(KnowledgeBase, assistant.knowledge_base_id)
+        if assistant.knowledge_base_id
+        else None
+    )
 
     return AssistantConfig(
         name=assistant.name,
@@ -138,6 +144,9 @@ async def resolve_runtime_config(
         turnConfig=assistant.turn_config or {},
         tools=await _tools_for(session, assistant),
         knowledge_base_id=assistant.knowledge_base_id,
+        knowledge_base_name=knowledge_base.name if knowledge_base else "",
+        knowledge_base_description=knowledge_base.description if knowledge_base else "",
+        knowledge_retrieval_config=assistant.knowledge_retrieval_config or {},
         # workflow 图:仅 workflow 类型非空,引擎据此启用图驱动对话
         graph=(assistant.graph or {}) if assistant.type == "workflow" else {},
         # 外部托管类型连接信息(DB 存真 key,直接注入)