feat: clarify workflow run history

backend-fastapi/ai_platform/api/workflow_api.py

@@ -570,12 +570,23 @@ async def list_workflow_runs(
 
 
 def _build_run_list_item(run: AIWorkflowRun, workflow_name: str = "") -> dict:
+    execution_log = run.execution_log or []
+    last_log = next(
+        (log for log in reversed(execution_log) if isinstance(log, dict)),
+        {},
+    )
     return {
         "id": run.id,
         "workflow_id": run.workflow_id,
         "workflow_name": workflow_name,
         "status": run.status or "pending",
         "trigger_type": run.trigger_type or "api",
+        "inputs": run.inputs or {},
+        "outputs": run.outputs or {},
+        "current_node_id": run.current_node_id or "",
+        "last_node_id": last_log.get("node_id", ""),
+        "last_node_label": last_log.get("node_label", ""),
+        "last_node_type": last_log.get("node_type", ""),
         "total_steps": run.total_steps or 0,
         "total_tokens": run.total_tokens or 0,
         "elapsed_time": run.elapsed_time or 0,

backend-fastapi/ai_platform/schemas/workflow_schema.py

@@ -124,6 +124,12 @@ class WorkflowRunListResponse(BaseModel):
     workflow_name: str = ""
     status: str = "pending"
     trigger_type: str = "api"
+    inputs: dict = Field(default_factory=dict)
+    outputs: dict = Field(default_factory=dict)
+    current_node_id: str = ""
+    last_node_id: str = ""
+    last_node_label: str = ""
+    last_node_type: str = ""
     total_steps: int = 0
     total_tokens: int = 0
     elapsed_time: int = 0