Add analysis feature

backend/routes/assistants.py

@@ -277,6 +277,17 @@ async def _validate_vision_model(
             raise HTTPException(400, "视觉模型必须支持图片输入")
 
 
+async def _validate_analysis_model(
+    session: AsyncSession, body: AssistantUpsert
+) -> None:
+    config = body.analysis_config
+    if not config.enabled:
+        return
+    resource = await session.get(ModelResource, config.model_resource_id)
+    if not resource or not resource.enabled or resource.capability != "LLM":
+        raise HTTPException(400, "分析模型必须引用已启用的 LLM 模型资源")
+
+
 async def _validate_knowledge_base(session: AsyncSession, body: AssistantUpsert) -> None:
     if body.runtime_mode != "pipeline" or body.type not in {"prompt", "workflow"}:
         body.knowledge_base_id = None
@@ -384,6 +395,7 @@ async def _to_out(session: AsyncSession, assistant: Assistant) -> AssistantOut:
         tool_ids=await _tool_ids(session, assistant.id),
         prompt=assistant.prompt,
         dynamic_variable_definitions=assistant.dynamic_variable_definitions or {},
+        analysis_config=assistant.analysis_config or {},
         api_url=assistant.api_url,
         api_key=mask(assistant.api_key),
         app_id=assistant.app_id,
@@ -413,6 +425,7 @@ async def create_assistant(
     await _validate_system_tool_selection(session, body)
     await _validate_startup_actions(session, body)
     await _validate_vision_model(session, body)
+    await _validate_analysis_model(session, body)
     await _validate_knowledge_base(session, body)
     data = body.model_dump()
     resource_ids = data.pop("model_resource_ids")
@@ -459,6 +472,7 @@ async def duplicate_assistant(
         knowledge_retrieval_config=dict(source.knowledge_retrieval_config or {}),
         prompt=source.prompt,
         dynamic_variable_definitions=dict(source.dynamic_variable_definitions or {}),
+        analysis_config=dict(source.analysis_config or {}),
         api_url=source.api_url,
         api_key=source.api_key,
         app_id=source.app_id,
@@ -489,6 +503,7 @@ async def update_assistant(
     await _validate_system_tool_selection(session, body)
     await _validate_startup_actions(session, body)
     await _validate_vision_model(session, body)
+    await _validate_analysis_model(session, body)
     await _validate_knowledge_base(session, body)
     data = body.model_dump()
     resource_ids = data.pop("model_resource_ids")