feat: complete advisor conversation loop

app/service/agent/implementations/advisor.py

@@ -4,6 +4,7 @@ from typing import Any
 
 from app.core.contracts import AgentDefinition, AgentRequest, CoreResult, RequestContext
 from app.service.agent.implementations.fund_query_demo import FundQueryDemoAgent
+from app.service.goal_conversation_service import GoalConversationService
 
 
 class AdvisorAgent(FundQueryDemoAgent):
@@ -27,6 +28,7 @@ class AdvisorAgent(FundQueryDemoAgent):
             "portfolio_analysis",
             "asset_allocation",
             "product_recommend",
+            "comparison",
         ),
     )
 
@@ -35,6 +37,12 @@ class AdvisorAgent(FundQueryDemoAgent):
             self._classified_intent is not None
             and self._classified_intent.intent == "investment_goal"
         ):
+            if GoalConversationService.should_collect(request.message):
+                goal_result = await GoalConversationService().process(
+                    session_id=request.session_id, customer_id=int(context.user_id),
+                    trace_id=context.trace_id, message=request.message,
+                )
+                return CoreResult(text=GoalConversationService.customer_prompt(goal_result))
             output = await self.call_tool(
                 "query_investment_goal", {}, intent="investment_goal", context=context
             )
@@ -65,6 +73,11 @@ class AdvisorAgent(FundQueryDemoAgent):
                 "recommend_products", {"limit": 3}, intent="product_recommend", context=context
             )
             return CoreResult(text=self._describe_recommendation(output))
+        if (
+            self._classified_intent is not None
+            and self._classified_intent.intent == "comparison"
+        ):
+            return CoreResult(text="对比分析需要明确两个或多个场内基金产品，请提供基金代码或名称。")
         return await super().handle(request, context)
 
     @staticmethod