feat: 重构 agentscope 缓存架构，新增消息和附件缓存

backend/src/core/agentscope/runtime/runner.py

@@ -29,7 +29,9 @@ from models.llm_factory import LlmFactory
 from models.system_agents import SystemAgents
 from schemas.agent.forwarded_props import (
     ClientTimeContext,
+    RuntimeMode,
     parse_forwarded_props_client_time,
+    parse_forwarded_props_runtime_mode,
 )
 from schemas.agent.runtime_models import (
     RouterAgentOutput,
@@ -76,6 +78,7 @@ class AgentScopeRunner:
     ) -> dict[str, Any]:
         owner_id = UUID(user_context.id)
         runtime_client_time = self._resolve_runtime_client_time(run_input=run_input)
+        runtime_mode = self._resolve_runtime_mode(run_input=run_input)
 
         async with AsyncSessionLocal() as session:
             router_config = await self._load_stage_config(
@@ -99,6 +102,7 @@ class AgentScopeRunner:
                 context_messages=context_messages,
                 stage_config=router_config,
                 runtime_client_time=runtime_client_time,
+                runtime_mode=runtime_mode,
                 user_memory=user_memory,
             )
             worker_output = await self._execute_worker_step(
@@ -109,6 +113,7 @@ class AgentScopeRunner:
                 toolkit=worker_toolkit,
                 stage_config=worker_config,
                 runtime_client_time=runtime_client_time,
+                runtime_mode=runtime_mode,
                 work_memory=work_memory,
             )
             return {
@@ -171,6 +176,7 @@ class AgentScopeRunner:
         context_messages: list[Msg],
         stage_config: SystemAgentRuntimeConfig,
         runtime_client_time: ClientTimeContext | None,
+        runtime_mode: RuntimeMode,
         user_memory: UserMemoryContent | None,
     ) -> RouterAgentOutput:
         await self._emit_step_event(
@@ -178,6 +184,7 @@ class AgentScopeRunner:
             run_input=run_input,
             step_name=AgentType.ROUTER.value,
             event_type="STEP_STARTED",
+            runtime_mode=runtime_mode,
         )
         router_result = await self._run_router_stage(
             user_context=user_context,
@@ -193,6 +200,7 @@ class AgentScopeRunner:
             run_input=run_input,
             step_name=AgentType.ROUTER.value,
             event_type="STEP_FINISHED",
+            runtime_mode=runtime_mode,
             extra_event={
                 "_router_persist": {
                     "router_output": router_output.model_dump(
@@ -214,6 +222,7 @@ class AgentScopeRunner:
         toolkit: Any,
         stage_config: SystemAgentRuntimeConfig,
         runtime_client_time: ClientTimeContext | None,
+        runtime_mode: RuntimeMode,
         work_memory: WorkProfileContent | None,
     ) -> WorkerAgentOutputLite:
         worker_output_model = resolve_worker_output_model(router_output.ui.ui_mode)
@@ -222,6 +231,7 @@ class AgentScopeRunner:
             run_input=run_input,
             step_name=AgentType.WORKER.value,
             event_type="STEP_STARTED",
+            runtime_mode=runtime_mode,
         )
         worker_result = await self._run_worker_stage(
             user_context=user_context,
@@ -234,6 +244,7 @@ class AgentScopeRunner:
             worker_output_model=worker_output_model,
             pipeline=pipeline,
             runtime_client_time=runtime_client_time,
+            runtime_mode=runtime_mode,
             work_memory=work_memory,
         )
         worker_output = worker_output_model.model_validate(worker_result.payload)
@@ -242,6 +253,7 @@ class AgentScopeRunner:
             run_input=run_input,
             step_name=AgentType.WORKER.value,
             event_type="STEP_FINISHED",
+            runtime_mode=runtime_mode,
         )
         return worker_output
 
@@ -332,6 +344,7 @@ class AgentScopeRunner:
         worker_output_model: type[WorkerAgentOutputLite],
         pipeline: PipelineLike,
         runtime_client_time: ClientTimeContext | None,
+        runtime_mode: RuntimeMode,
         work_memory: WorkProfileContent | None,
     ) -> StageExecutionResult:
         tracking_model = self._build_model(stage_config=stage_config)
@@ -340,6 +353,7 @@ class AgentScopeRunner:
             session_id=run_input.thread_id,
             run_id=run_input.run_id,
             stage=stage_config.agent_type.value,
+            runtime_mode=runtime_mode.value,
             emit_text_events=True,
             emit_tool_events=True,
         )
@@ -437,12 +451,14 @@ class AgentScopeRunner:
         run_input: RunAgentInput,
         step_name: str,
         event_type: str,
+        runtime_mode: RuntimeMode,
         extra_event: dict[str, Any] | None = None,
     ) -> None:
         payload: dict[str, Any] = {
             "type": event_type,
             "threadId": run_input.thread_id,
             "runId": run_input.run_id,
+            "runtime_mode": runtime_mode.value,
             "stepName": step_name,
         }
         if extra_event:
@@ -459,6 +475,15 @@ class AgentScopeRunner:
             getattr(run_input, "forwarded_props", None)
         )
 
+    @staticmethod
+    def _resolve_runtime_mode(*, run_input: RunAgentInput) -> RuntimeMode:
+        try:
+            return parse_forwarded_props_runtime_mode(
+                getattr(run_input, "forwarded_props", None)
+            )
+        except ValueError:
+            return RuntimeMode.CHAT
+
     @staticmethod
     def _resolve_provider_api_key(*, factory_name: str) -> str:
         normalized_factory_name = factory_name.strip().upper()