Update pf pipeline tutorial

docs/tutorials/index.md

@@ -22,7 +22,7 @@ This section contains a collection of flow samples and step-by-step tutorials.
 |Flow|[Flow run management in azure](https://github.com/microsoft/promptflow/blob/main/examples/tutorials/run-management/cloud-run-management.ipynb)|Flow run management in Azure AI|
 |Flow|[Flow run management](https://github.com/microsoft/promptflow/blob/main/examples/tutorials/run-management/run-management.ipynb)|Flow run management|
 |Flow|[Evaluate with langchain's evaluator](https://github.com/microsoft/promptflow/blob/main/examples/flex-flows/eval-criteria-with-langchain/langchain-eval.ipynb)|A tutorial to converting LangChain criteria evaluator application to flex flow.|
-|Flow|[Getting started with flex flow in azure](https://github.com/microsoft/promptflow/blob/main/examples/flex-flows/basic/flex-flow-quickstart-azure.ipynb)|A quickstart tutorial to run a flex flow and evaluate it in azure.|
+|Flow|[Getting started with flex flow in azure](https://github.com/microsoft/promptflow/blob/main/examples/flex-flows/basic/flex-flow-quickstart-azure.ipynb)|A quickstart tutorial to run a flex flow and evaluate it in Azure.|
 |Flow|[Chat with class based flex flow in azure](https://github.com/microsoft/promptflow/blob/main/examples/flex-flows/chat-basic/chat-with-class-based-flow-azure.ipynb)|A quickstart tutorial to run a class based flex flow and evaluate it in azure.|
 |Flow|[Run dag flow in azure](https://github.com/microsoft/promptflow/blob/main/examples/tutorials/get-started/quickstart-azure.ipynb)|A quickstart tutorial to run a flow in Azure AI and evaluate it.|
 |Deployment|[Create service with flow](https://github.com/microsoft/promptflow/blob/main/examples/tutorials/flow-deploy/create-service-with-flow/README.md)| This example shows how to create a simple service with flow|

examples/README.md

@@ -148,7 +148,7 @@
 | [trace-langchain.ipynb](tutorials/tracing/langchain/trace-langchain.ipynb) | [![samples_tracing_langchain_tracelangchain](https://github.com/microsoft/promptflow/actions/workflows/samples_tracing_langchain_tracelangchain.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_tracing_langchain_tracelangchain.yml) | Tracing LLM calls in langchain application |
 | [trace-llm.ipynb](tutorials/tracing/llm/trace-llm.ipynb) | [![samples_tracing_llm_tracellm](https://github.com/microsoft/promptflow/actions/workflows/samples_tracing_llm_tracellm.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_tracing_llm_tracellm.yml) | Tracing LLM application |
 | [connection.ipynb](connections/connection.ipynb) | [![samples_connections_connection](https://github.com/microsoft/promptflow/actions/workflows/samples_connections_connection.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_connections_connection.yml) | Manage various types of connections using sdk |
-| [flex-flow-quickstart-azure.ipynb](flex-flows/basic/flex-flow-quickstart-azure.ipynb) | [![samples_flexflows_basic_flexflowquickstartazure](https://github.com/microsoft/promptflow/actions/workflows/samples_flexflows_basic_flexflowquickstartazure.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flexflows_basic_flexflowquickstartazure.yml) | A quickstart tutorial to run a flex flow and evaluate it in azure. |
+| [flex-flow-quickstart-azure.ipynb](flex-flows/basic/flex-flow-quickstart-azure.ipynb) | [![samples_flexflows_basic_flexflowquickstartazure](https://github.com/microsoft/promptflow/actions/workflows/samples_flexflows_basic_flexflowquickstartazure.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flexflows_basic_flexflowquickstartazure.yml) | A quickstart tutorial to run a flex flow and evaluate it in Azure. |
 | [flex-flow-quickstart.ipynb](flex-flows/basic/flex-flow-quickstart.ipynb) | [![samples_flexflows_basic_flexflowquickstart](https://github.com/microsoft/promptflow/actions/workflows/samples_flexflows_basic_flexflowquickstart.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flexflows_basic_flexflowquickstart.yml) | A quickstart tutorial to run a flex flow and evaluate it. |
 | [chat-stream-with-async-flex-flow.ipynb](flex-flows/chat-async-stream/chat-stream-with-async-flex-flow.ipynb) | [![samples_flexflows_chatasyncstream_chatstreamwithasyncflexflow](https://github.com/microsoft/promptflow/actions/workflows/samples_flexflows_chatasyncstream_chatstreamwithasyncflexflow.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flexflows_chatasyncstream_chatstreamwithasyncflexflow.yml) | A quickstart tutorial to run a class based flex flow in stream mode and evaluate it. |
 | [chat-with-class-based-flow-azure.ipynb](flex-flows/chat-basic/chat-with-class-based-flow-azure.ipynb) | [![samples_flexflows_chatbasic_chatwithclassbasedflowazure](https://github.com/microsoft/promptflow/actions/workflows/samples_flexflows_chatbasic_chatwithclassbasedflowazure.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flexflows_chatbasic_chatwithclassbasedflowazure.yml) | A quickstart tutorial to run a class based flex flow and evaluate it in azure. |

examples/tutorials/run-flow-with-pipeline/pipeline.ipynb

@@ -147,7 +147,11 @@
     "| debug_info | uri_folder | If you run your flow component in __debug mode__, this port provides debugging information for each run of your lines. E.g. intermediate outputs between steps, or LLM response and token usage. |\n",
     "\n",
     "![prompt flow base component image](./media/cloud/flow-in-pipeline/pf-base-component.png)\n",
-    "    \n",
+    "\n",
+    "> __NOTE:__</br>\n",
+    "> \n",
+    "> `flow_outputs` and `debug_info` outputs are required to be set `mount` mode as the output mode when you run pf component with multiple nodes. \n",
+    "\n",
     " - Auto-generated parameters \n",
     " \n",
     "   These parameters represent all your flow inputs and connections associated with your flow steps. You can set default values in the flow/run definition, and they can be further customized during job submission. Use '[web-classification](https://github.com/microsoft/promptflow/blob/main/examples/flows/standard/web-classification/flow.dag.yaml)' sample flow for example, this flow has only one input named 'url' and 2 LLM steps 'summarize_text_content' and 'classify_with_llm'. The input parameters of this flow component are:\n",
@@ -377,9 +381,13 @@
     "    flow_node.mini_batch_size = 5\n",
     "    flow_node.max_concurrency_per_instance = 2\n",
     "    flow_node.resources = {\"instance_count\": 1}\n",
-    "    flow_node.outputs.flow_outputs.mode = \"rw_mount\"\n",
     "    flow_node.logging_level = \"DEBUG\"\n",
     "\n",
+    "    # set output mode to 'mount'\n",
+    "    # This is required for the flow component when the 'instance_count' is set higher than 1\n",
+    "    flow_node.outputs.flow_outputs.mode = \"mount\"\n",
+    "    flow_node.outputs.debug_info.mode = \"mount\"\n",
+    "\n",
     "    result_parser_node = result_parser_component(\n",
     "        source_data=data_prep_node.outputs.output_data_folder,\n",
     "        pf_output_data=flow_node.outputs.flow_outputs,\n",