refactor folder name for dag flow

docs/README.md

@@ -10,7 +10,7 @@ Below is a table of important doc pages.
 |----------------|----------------|
 |Quick start|[Getting started with prompt flow](./how-to-guides/quick-start.md)|
 |Concepts|[Flows](./concepts/concept-flows.md)<br> [Tools](./concepts/concept-tools.md)<br> [Connections](./concepts/concept-connections.md)<br> [Variants](./concepts/concept-variants.md)<br> |
-|How-to guides|[How to initialize and test a flow](./how-to-guides/develop-a-flow/init-and-test-a-flow.md) <br>[How to run and evaluate a flow](./how-to-guides/run-and-evaluate-a-flow/index.md)<br> [How to tune prompts using variants](./how-to-guides/tune-prompts-with-variants.md)<br>[How to deploy a flow](./how-to-guides/deploy-a-flow/index.md)<br>[How to create and use your own tool package](./how-to-guides/develop-a-tool/create-and-use-tool-package.md)|
+|How-to guides|[How to initialize and test a flow](./how-to-guides/develop-a-dag-flow/init-and-test-a-flow.md) <br>[How to run and evaluate a flow](./how-to-guides/run-and-evaluate-a-flow/index.md)<br> [How to tune prompts using variants](./how-to-guides/tune-prompts-with-variants.md)<br>[How to deploy a flow](./how-to-guides/deploy-a-flow/index.md)<br>[How to create and use your own tool package](./how-to-guides/develop-a-tool/create-and-use-tool-package.md)|
 |Tools reference|[LLM tool](./reference/tools-reference/llm-tool.md)<br> [Prompt tool](./reference/tools-reference/prompt-tool.md)<br> [Python tool](./reference/tools-reference/python-tool.md)<br> [Embedding tool](./reference/tools-reference/embedding_tool.md)<br>[SERP API tool](./reference/tools-reference/serp-api-tool.md) ||
 
 

docs/cloud/azureai/run-promptflow-in-azure-ai.md

@@ -155,7 +155,7 @@ At the end of stream logs, you can find the `portal_url` of the submitted run, c
 
 ### Run snapshot of the flow with additional includes
 
-Flows that enabled [additional include](../../how-to-guides/develop-a-flow/referencing-external-files-or-folders-in-a-flow.md) files can also be submitted for execution in the workspace. Please note that the specific additional include files or folders will be uploaded and organized within the **Files** folder of the run snapshot in the cloud.
+Flows that enabled [additional include](../../how-to-guides/develop-a-dag-flow/referencing-external-files-or-folders-in-a-flow.md) files can also be submitted for execution in the workspace. Please note that the specific additional include files or folders will be uploaded and organized within the **Files** folder of the run snapshot in the cloud.
 
 ![img](../../media/cloud/azureml/run-with-additional-includes.png)
 

docs/cloud/azureai/use-flow-in-azure-ml-pipeline.md

@@ -1,7 +1,7 @@
 # Use flow in Azure ML pipeline job
 In practical scenarios, flows fulfill various functions. For example, consider an offline flow specifically designed to assess the relevance score for communication sessions between humans and agents. This flow is triggered nightly and processes a substantial amount of session data. In such a context, Parallel component and AzureML pipeline emerge as the optimal choices for handling large-scale, highly resilient, and efficient offline batch requirements. 
 
-Once you’ve developed and thoroughly tested your flow using the guidelines in the [init and test a flow](../../how-to-guides/develop-a-flow/init-and-test-a-flow.md) section, this guide will walk you through utilizing your flow as a parallel component within an AzureML pipeline job.
+Once you’ve developed and thoroughly tested your flow, this guide will walk you through utilizing your flow as a parallel component within an AzureML pipeline job.
 
 :::{admonition} Pre-requirements
 To enable this feature, customer need to:
@@ -329,7 +329,7 @@ Given above, if your flow has logic relying on identity or environment variable,
 | key         | source | type                   | description                                                  |
 | ----------- | ------ | ---------------------- | ------------------------------------------------------------ |
 | data        | fixed  | uri_folder or uri_file | required; to pass in input data. Supported format includes [`mltable`](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-mltable?view=azureml-api-2&tabs=cli#authoring-mltable-files) and list of jsonl files. |
-| run_outputs | fixed  | uri_folder             | optional; to pass in output of a standard flow for [an evaluation flow](../../how-to-guides/develop-a-flow/develop-evaluation-flow.md). Should be linked to a `flow_outputs` of a previous flow node in the pipeline. |
+| run_outputs | fixed  | uri_folder             | optional; to pass in output of a standard flow for [an evaluation flow](../../how-to-guides/develop-a-dag-flow/develop-evaluation-flow.md). Should be linked to a `flow_outputs` of a previous flow node in the pipeline. |
 
 ### Output ports
 

docs/concepts/concept-flows.md

@@ -53,6 +53,6 @@ DAG flow [examples](https://github.com/microsoft/promptflow/tree/main/examples/f
 ## Next steps
 
 - [Quick start](../how-to-guides/quick-start.md)
-- [Initialize and test a flow](../how-to-guides/develop-a-flow/init-and-test-a-flow.md)
+- [Initialize and test a flow](../how-to-guides/develop-a-dag-flow/init-and-test-a-flow.md)
 - [Run and evaluate a flow](../how-to-guides/run-and-evaluate-a-flow/index.md)
 - [Tune prompts using variants](../how-to-guides/tune-prompts-with-variants.md)

docs/how-to-guides/develop-a-flow/index.md → docs/how-to-guides/develop-a-dag-flow/index.md

@@ -11,7 +11,7 @@ A flow is represented as a YAML file and can be visualized with our [Prompt flow
 Please refer to our [examples](https://github.com/microsoft/promptflow/tree/main/examples/flows) and guides in this section to learn how to write a `DAG flow`. 
 
 Note: 
-- promptflow also support user develop a `flex flow`. learn more on comparasion of these two [flow concepts](../../concepts/concept-flows.md).
+- promptflow also support user develop a a flow using code. learn more on comparasion of these two [flow concepts](../../concepts/concept-flows.md).
 
 ```{toctree}
 :maxdepth: 1

docs/how-to-guides/develop-a-flex-flow/index.md

@@ -10,7 +10,7 @@ In PromptFlow, these functions or classes are referred to as `flow` or `flex flo
 
 Alternatively, you can define a `flow.flex.yaml` that points to these entries (`entry:function_name` or `entry:ClassName`). This enables testing, running, or viewing traces via the [Promptflow VS Code Extension](https://marketplace.visualstudio.com/items?itemName=prompt-flow.prompt-flow).
 
-Our [examples](https://github.com/microsoft/promptflow/tree/main/examples/flex-flows) should give you a good idea on how to write `flex flows`.
+Our [examples](https://github.com/microsoft/promptflow/tree/main/examples/flex-flows) should give you a good idea on how to write flows.
 
 Note: 
 - The term *Flex* is a shorthand for *flexible*, indicating its adaptability to most scenarios with minimal adjustments.

docs/how-to-guides/develop-a-prompty/index.md

@@ -416,5 +416,5 @@ The trace UI will record the execution details of each line in the data file, pr
 :hidden:
 
 prompty-output-format
-use-prompty-in-flex-flow
+use-prompty-in-flow
 ```

docs/how-to-guides/index.md

@@ -18,7 +18,7 @@ develop-a-prompty/index
 :caption: Flow
 :maxdepth: 1
 develop-a-flex-flow/index
-develop-a-flow/index
+develop-a-dag-flow/index
 execute-flow-as-a-function
 chat-with-a-flow/index
 run-and-evaluate-a-flow/index

docs/how-to-guides/quick-start.md

@@ -108,7 +108,7 @@ inputs:
     default: https://play.google.com/store/apps/details?id=com.twitter.android
 ...
 ```
-See more details of this topic in [Develop a flow](./develop-a-flow/index.md).
+See more details of this topic in [Develop a flow](./develop-a-dag-flow/index.md).
 
 ### Create necessary connections
 
@@ -288,14 +288,14 @@ Click the run flow button on the top of the visual editor to trigger flow test.
 
 ::::
 
-See more details of this topic in [Initialize and test a flow](./develop-a-flow/init-and-test-a-flow.md).
+See more details of this topic in [Initialize and test a flow](./develop-a-dag-flow/init-and-test-a-flow.md).
 
 ## Next steps
 
 Learn more on how to:
-- [Develop a flow](./develop-a-flow/index.md): details on how to develop a flow by writing a flow yaml from scratch.
-- [Initialize and test a flow](./develop-a-flow/init-and-test-a-flow.md): details on how develop a flow from scratch or existing code.
-- [Add conditional control to a flow](./develop-a-flow/add-conditional-control-to-a-flow.md): how to use activate config to add conditional control to a flow.
+- [Develop a flow](./develop-a-dag-flow/index.md): details on how to develop a flow by writing a flow yaml from scratch.
+- [Initialize and test a flow](./develop-a-dag-flow/init-and-test-a-flow.md): details on how develop a flow from scratch or existing code.
+- [Add conditional control to a flow](./develop-a-dag-flow/add-conditional-control-to-a-flow.md): how to use activate config to add conditional control to a flow.
 - [Run and evaluate a flow](./run-and-evaluate-a-flow/index.md): run and evaluate the flow using multi line data file.
 - [Deploy a flow](./deploy-a-flow/index.md): how to deploy the flow as a web app.
 - [Manage connections](./manage-connections.md): how to manage the endpoints/secrets information to access external services including LLMs.

docs/how-to-guides/run-and-evaluate-a-flow/index.md

@@ -1,6 +1,6 @@
 # Run and evaluate a flow
 
-After you have developed and tested the flow in [init and test a flow](../develop-a-flow/init-and-test-a-flow.md), this guide will help you learn how to run a flow with a larger dataset and then evaluate the flow you have created.
+After you have developed and tested the flow in [init and test a flow](../develop-a-dag-flow/init-and-test-a-flow.md), this guide will help you learn how to run a flow with a larger dataset and then evaluate the flow you have created.
 
 ## Create a batch run
 
@@ -113,7 +113,7 @@ We also have a more detailed documentation  [Manage runs](./manage-runs.md) demo
 
 ## Evaluate your flow
 
-You can use an evaluation method to evaluate your flow. The evaluation methods are also flows which use Python or LLM etc., to calculate metrics like accuracy, relevance score. Please refer to [Develop evaluation flow](../develop-a-flow/develop-evaluation-flow.md) to learn how to develop an evaluation flow.
+You can use an evaluation method to evaluate your flow. The evaluation methods are also flows which use Python or LLM etc., to calculate metrics like accuracy, relevance score. Please refer to [Develop evaluation flow](../develop-a-dag-flow/develop-evaluation-flow.md) to learn how to develop an evaluation flow.
 
 In this guide, we use [eval-classification-accuracy](https://github.com/microsoft/promptflow/tree/main/examples/flows/evaluation/eval-classification-accuracy) flow to evaluate. This is a flow illustrating how to evaluate the performance of a classification system. It involves comparing each prediction to the groundtruth and assigns a `Correct` or `Incorrect` grade, and aggregating the results to produce metrics such as `accuracy`, which reflects how good the system is at classifying the data.
 

docs/index.md

@@ -39,7 +39,7 @@ This documentation site contains guides for prompt flow [sdk, cli](https://pypi.
 - header: "📒 How-to Guides"
   content: "
     Articles guide user to complete a specific task in prompt flow.<br/><br/>
-    - [Develop a flow](how-to-guides/develop-a-flow/index.md)<br/>
+    - [Develop a flow](how-to-guides/develop-a-flex-flow/index.md)<br/>
     - [Run and evaluate a flow](how-to-guides/run-and-evaluate-a-flow/index.md)<br/>
     - [Develop custom tool](how-to-guides/develop-a-tool/create-and-use-tool-package.md)<br/>
     - [Deploy a flow](how-to-guides/deploy-a-flow/index.md)<br/>