Merge pull request #6599 from sdgilley/sdg-updates

add hub-only

Author: prmerger-automator[bot]

articles/ai-foundry/how-to/prompt-flow-tools/embedding-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
@@ -21,9 +22,13 @@ ms.update-cycle: 180-days
 
 The prompt flow Embedding tool enables you to convert text into dense vector representations for various natural language processing tasks.
 
-> [!NOTE]
+> [!TIP]
 > For chat and completion tools, learn more about the large language model [(LLM) tool](llm-tool.md).
 
+## Prerequisites
+
+[!INCLUDE [hub-only-prereq](../../includes/hub-only-prereq.md)]
+
 ## Build with the Embedding tool
 
 1. Create or open a flow in [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs). For more information, see [Create a flow](../flow-develop.md).

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

@@ -5,6 +5,7 @@ description: This article introduces you to the Index Lookup tool for flows in A
 ms.service: azure-ai-foundry
 ms.custom:
   - build-2024
+  - hub-only
 ms.topic: reference
 ms.date: 6/30/2025
 ms.reviewer: none
@@ -20,6 +21,10 @@ ms.update-cycle: 180-days
 
 The prompt flow Index Lookup tool enables the use of common vector indices (such as Azure AI Search, Faiss, and Pinecone) for retrieval augmented generation in prompt flow. The tool automatically detects the indices in the workspace and allows the selection of the index to be used in the flow.
 
+## Prerequisites
+
+[!INCLUDE [hub-only-prereq](../../includes/hub-only-prereq.md)]
+
 ## Build with the Index Lookup tool
 
 1. Create or open a flow in [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs). For more information, see [Create a flow](../flow-develop.md).

articles/ai-foundry/how-to/prompt-flow-tools/llm-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
@@ -21,11 +22,13 @@ ms.update-cycle: 180-days
 
 To use large language models (LLMs) for natural language processing, you use the prompt flow LLM tool.
 
-> [!NOTE]
+> [!TIP]
 > For embeddings to convert text into dense vector representations for various natural language processing tasks, see [Embedding tool](embedding-tool.md).
 
 ## Prerequisites
 
+[!INCLUDE [hub-only-prereq](../../includes/hub-only-prereq.md)]
+
 Prepare a prompt as described in the [Prompt tool](prompt-tool.md#prerequisites) documentation. The LLM tool and Prompt tool both support [Jinja](https://jinja.palletsprojects.com/en/stable/) templates. For more information and best practices, see [Prompt engineering techniques](../../openai/concepts/advanced-prompt-engineering.md).
 
 ## Build with the LLM tool

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

@@ -24,6 +24,10 @@ ms.update-cycle: 180-days
 
 The prompt flow Python tool offers customized code snippets as self-contained executable nodes. You can quickly create Python tools, edit code, and verify results.
 
+## Prerequisites
+
+[!INCLUDE [hub-only-prereq](../../includes/hub-only-prereq.md)]
+
 ## Build with the Python tool
 
 1. Create or open a flow in [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs). For more information, see [Create a flow](../flow-develop.md).

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

@@ -8,6 +8,7 @@ ms.date: 6/30/2025
 ms.reviewer: jingyizhu
 ms.author: lagayhar
 author: lgayhardt
+ms.custom: hub-only
 ms.collection: ce-skilling-ai-copilot, ce-skilling-fresh-tier1
 ms.update-cycle: 180-days
 ---
@@ -19,6 +20,10 @@ The prompt flow Rerank tool improves search quality of relevant documents given
 
 [!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
+## Prerequisites
+
+[!INCLUDE [hub-only-prereq](../../includes/hub-only-prereq.md)]
+
 ## Use the Rerank tool
 
 1. Create or open a flow in Azure AI Foundry portal. For more information, see [Create a flow](../flow-develop.md).