add hub-only second batch

Author: sdgilley

articles/ai-foundry/how-to/flow-bulk-test-evaluation.md

@@ -6,6 +6,7 @@ ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2023
   - build-2024
+  - hub-only
 ms.topic: how-to
 ms.date: 5/21/2024
 ms.reviewer: none
@@ -32,6 +33,8 @@ In this article you learn to:
 
 ## Prerequisites
 
+[!INCLUDE [hub-only-prereq](../includes/hub-only-prereq.md)]
+
 For a batch run and to use an evaluation method, you need to have the following ready:
 
 - A test dataset for batch run. Your dataset should be in one of these formats: `.csv`, `.tsv`, or `.jsonl`. Your data should also include headers that match the input names of your flow. If your flow inputs include a complex structure like a list or dictionary, use `jsonl` format to represent your data. 

articles/ai-foundry/how-to/flow-develop-evaluation.md

@@ -6,6 +6,7 @@ ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2023
   - build-2024
+  - hub-only
 ms.topic: how-to
 ms.date: 3/31/2025
 ms.reviewer: mithigpe
@@ -26,6 +27,10 @@ In prompt flow, you can customize or create your own evaluation flow tailored to
 - How to develop an evaluation method.
 - Understand inputs, outputs, and logging metrics for prompt flow evaluations.
 
+## Prerequisites
+
+[!INCLUDE [hub-only-prereq](../includes/hub-only-prereq.md)]
+
 ## Starting to develop an evaluation method
 
 There are two ways to develop your own evaluation methods:

articles/ai-foundry/how-to/flow-process-image.md

@@ -5,6 +5,7 @@ description: Learn how to use images in prompt flow.
 ms.service: azure-ai-foundry
 ms.custom:
   - build-2024
+  - hub-only
 ms.topic: how-to
 ms.date: 06/30/2025
 ms.reviewer: none
@@ -28,6 +29,8 @@ In this article, you learn:
 > - How to create a batch run using image data.  
 > - How to consume online endpoint with image data.
 
+[!INCLUDE [uses-hub-only](../includes/uses-hub-only.md)]
+
 ## Image type in prompt flow
 
 Prompt flow input and output support Image as a new data type.

articles/ai-foundry/how-to/flow-tune-prompts-using-variants.md

@@ -6,6 +6,7 @@ ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2023
   - build-2024
+  - hub-only
 ms.topic: how-to
 ms.date: 3/31/2025
 ms.reviewer: none
@@ -25,6 +26,8 @@ Crafting a good prompt is a challenging task that requires much creativity, clar
 
 Variants can help you test the model’s behavior under different conditions, such as different wording, formatting, context, temperature, or top-k. You can compare and find the best prompt and configuration that maximizes the model's accuracy, diversity, or coherence.
 
+[!INCLUDE [uses-hub-only](../includes/uses-hub-only.md)]
+
 ## Variants in Prompt flow
 
 With prompt flow, you can use variants to tune your prompt. A variant refers to a specific version of a tool node that has distinct settings. Currently, variants are supported only in the [LLM tool](prompt-flow-tools/llm-tool.md). For example, in the LLM tool, a new variant can represent either a different prompt content or different connection settings.

articles/ai-foundry/how-to/prompt-flow-tools/prompt-flow-tools-overview.md

@@ -5,6 +5,7 @@ description: Learn about prompt flow tools that are available in Azure AI Foundr
 ms.service: azure-ai-foundry
 ms.custom:
   - build-2024
+  - hub-only
 ms.topic: reference
 ms.date: 6/30/2025
 ms.reviewer: none
@@ -34,6 +35,8 @@ The following table provides an index of tools in prompt flow.
 
 <sup>1</sup> The Index Lookup tool replaces the three deprecated legacy index tools: Vector Index Lookup, Vector DB Lookup, and Faiss Index Lookup.
 
+[!INCLUDE [uses-hub-only](../../includes/uses-hub-only.md)]
+
 ## Custom tools
 
 To discover more custom tools developed by the open-source community such as [Azure AI Language tools](https://pypi.org/project/promptflow-azure-ai-language/), see [More custom tools](https://microsoft.github.io/promptflow/integrations/tools/index.html).

articles/ai-foundry/how-to/prompt-flow-tools/prompt-tool.md

@@ -6,6 +6,7 @@ ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2023
   - build-2024
+  - hub-only
 ms.topic: reference
 ms.date: 6/30/2025
 ms.reviewer: none
@@ -23,6 +24,8 @@ The prompt flow Prompt tool offers a collection of textual templates that serve
 
 ## Prerequisites
 
+[!INCLUDE [hub-only-prereq](../../includes/hub-only-prereq.md)]
+
 Prepare a prompt. The [LLM tool](llm-tool.md) and Prompt tool both support [Jinja](https://jinja.palletsprojects.com/en/stable/) templates.
 
 In this example, the prompt incorporates Jinja templating syntax to dynamically generate the welcome message and personalize it based on the user's name. It also presents a menu of options for the user to choose from. Depending on whether the `user_name` variable is provided, it either addresses the user by name or uses a generic greeting.