raise exception when pfs inovke error

src/promptflow-devkit/promptflow/_sdk/_errors.py

@@ -271,3 +271,9 @@ def __init__(
             'please install it by running "pip install promptflow-azure" with your version.'
         )
         super().__init__(message=msg, no_personal_data_message=msg, **kwargs)
+
+
+class PromptFlowServiceInvokeError(SDKError):
+    """Exception raised if prompt flow service invoke failed."""
+
+    pass

src/promptflow-devkit/promptflow/_sdk/_tracing.py

@@ -30,6 +30,7 @@
     AzureMLWorkspaceTriad,
     ContextAttributeKey,
 )
+from promptflow._sdk._errors import PromptFlowServiceInvokeError
 from promptflow._sdk._service.utils.utils import (
     add_executable_script_to_env_path,
     get_port_from_config,
@@ -258,6 +259,10 @@ def start_trace_with_devkit(
 
     # invoke prompt flow service
     pfs_port = _invoke_pf_svc()
+    if not is_pfs_service_healthy(pfs_port):
+        error_msg = "prompt flow service is not healthy, please check the logs for more details."
+        logger.error(error_msg)
+        raise PromptFlowServiceInvokeError(error_msg)
 
     _inject_res_attrs_to_environ(pfs_port=pfs_port, collection=collection, exp=exp, ws_triad=ws_triad)
     # instrument openai and setup exporter to pfs here for flex mode