feat: 实现用户画像、占卜历史与后端用户管理模块

backend/src/core/agentscope/events/store.py

@@ -135,6 +135,7 @@ class SqlAlchemyEventStore:
             "result_type",
             "suggested_actions",
             "error",
+            "divination_derived",
             "ui_hints",
         )
         worker_output_payload: dict[str, object] = {}
@@ -187,7 +188,9 @@ class SqlAlchemyEventStore:
             content=content,
             model_code=model_code if isinstance(model_code, str) else None,
             tool_name=tool_name_value,
-            metadata=metadata_model.model_dump(mode="json", exclude_none=True),
+            metadata=metadata_model.model_dump(
+                mode="json", by_alias=True, exclude_none=True
+            ),
             input_tokens=input_tokens,
             output_tokens=output_tokens,
             cost=cost,
@@ -200,7 +203,9 @@ class SqlAlchemyEventStore:
             visibility_mask=visibility_mask,
             role=role.value,
             content=content,
-            metadata=metadata_model.model_dump(mode="json", exclude_none=True),
+            metadata=metadata_model.model_dump(
+                mode="json", by_alias=True, exclude_none=True
+            ),
             timestamp=self._resolve_message_timestamp(persisted),
         )
 
@@ -272,7 +277,9 @@ class SqlAlchemyEventStore:
             role=AgentChatMessageRole.TOOL,
             content=content,
             tool_name=tool_output.tool_name,
-            metadata=metadata_model.model_dump(mode="json", exclude_none=True),
+            metadata=metadata_model.model_dump(
+                mode="json", by_alias=True, exclude_none=True
+            ),
             visibility_mask=visibility_mask,
         )
         await self._append_context_cache_message(
@@ -281,7 +288,9 @@ class SqlAlchemyEventStore:
             visibility_mask=visibility_mask,
             role=AgentChatMessageRole.TOOL.value,
             content=content,
-            metadata=metadata_model.model_dump(mode="json", exclude_none=True),
+            metadata=metadata_model.model_dump(
+                mode="json", by_alias=True, exclude_none=True
+            ),
             timestamp=self._resolve_message_timestamp(persisted),
         )
 

backend/src/core/agentscope/prompts/agent_prompt.py

@@ -60,7 +60,7 @@ def _worker_rules(llm_config: SystemAgentLLMConfig | None) -> list[str]:
         "[六爻分析流程]",
         "- 第1步：准确复述用户问题，确认问题类型与诉求焦点。",
         "- 第2步：围绕用神、世应、动爻、月建日辰、旺衰关系形成核心判断。",
-        "- 第3步：给出签级，仅允许 上上签 / 中上签 / 中下签。",
+        "- 第3步：给出签级，仅允许 上上签 / 中上签 / 中下签 / 下下签。",
         "- 第4步：输出结论与重点，解释外部阻力或有利转机出现条件。",
         "- 第5步：给出可执行建议，避免空泛正确话。",
         "- 第6步：提炼关键词，优先四字表达，简洁且可复述。",

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

@@ -232,8 +232,10 @@ class AgentScopeRunner:
             pipeline=pipeline,
             runtime_client_time=runtime_client_time,
             runtime_mode=runtime_mode,
+            derived_divination=derived_divination,
         )
         worker_output = worker_output_model.model_validate(worker_result.payload)
+        worker_output.divination_derived = derived_divination
         await self._emit_step_event(
             pipeline=pipeline,
             run_input=run_input,
@@ -255,6 +257,7 @@ class AgentScopeRunner:
         pipeline: PipelineLike,
         runtime_client_time: ClientTimeContext | None,
         runtime_mode: RuntimeMode,
+        derived_divination: DerivedDivinationData,
     ) -> StageExecutionResult:
         tracking_model = self._build_model(stage_config=stage_config)
         formatter = OpenAIChatFormatter()
@@ -290,7 +293,12 @@ class AgentScopeRunner:
             usage_summary=tracking_model.usage_summary(),
         )
         await emitter.emit_final_text_end(
-            worker_output=worker_payload.model_dump(mode="json", exclude_none=True),
+            worker_output={
+                **worker_payload.model_dump(mode="json", exclude_none=True),
+                "divination_derived": derived_divination.model_dump(
+                    mode="json", by_alias=True, exclude_none=True
+                ),
+            },
             response_metadata=response_metadata,
         )
         return StageExecutionResult(

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

@@ -70,6 +70,7 @@ class PipelineStageEmitter:
             "suggested_actions": worker_output.get("suggested_actions")
             or worker_output.get("advice", []),
             "error": worker_output.get("error"),
+            "divination_derived": worker_output.get("divination_derived"),
             **response_metadata,
         }
         ui_hints = worker_output.get("ui_hints")