Merge branch 'main' of https://github.com/MicrosoftDocs/azure-ai-docs-pr

Author: fbsolo-ms1

articles/ai-foundry/how-to/deploy-models-jais.md

@@ -5,7 +5,7 @@ description: Learn how to use Jais chat models with Azure AI Foundry.
 ms.service: azure-ai-foundry
 manager: scottpolly
 ms.topic: how-to
-ms.date: 11/21/2024
+ms.date: 03/04/2025
 ms.reviewer: haelhamm
 reviewer: hazemelh 
 ms.author: ssalgado

articles/ai-foundry/how-to/deploy-models-jamba.md

@@ -5,7 +5,7 @@ description: How to deploy AI21's Jamba family models with Azure AI Foundry
 manager: scottpolly
 ms.service: azure-ai-foundry
 ms.topic: how-to
-ms.date: 08/06/2024
+ms.date: 03/04/2025
 ms.author: ssalgado
 author: ssalgadodev
 ms.reviewer: tgokal

articles/ai-foundry/how-to/deploy-models-llama.md

@@ -5,7 +5,7 @@ description: Learn how to use the Meta Llama family of models with Azure AI Foun
 ms.service: azure-ai-foundry
 manager: scottpolly
 ms.topic: how-to
-ms.date: 12/04/2024
+ms.date: 03/04/2025
 ms.reviewer: shubhiraj
 reviewer: shubhirajMsft
 ms.author: ssalgado

articles/ai-foundry/how-to/deploy-models-tsuzumi.md

@@ -5,7 +5,7 @@ description: Learn how to use tsuzumi-7b models with Azure AI Foundry.
 ms.service: azure-ai-foundry
 manager: scottpolly
 ms.topic: how-to
-ms.date: 10/24/2024
+ms.date: 03/04/2025
 ms.reviewer: haelhamm
 reviewer: hazemelh
 ms.author: ssalgado

articles/ai-foundry/toc.yml

@@ -584,7 +584,7 @@ items:
     href: ../ai-services/openai/concepts/system-message.md?context=/azure/ai-foundry/context/context
   - name: Transparency Note for safety evaluations
     href: ./concepts/safety-evaluations-transparency-note.md
-- name: Reference
+- name: SDK + API Reference
   items:
   - name: Azure AI Projects SDK
     href: /python/api/overview/azure/ai-projects-readme
@@ -600,12 +600,8 @@ items:
     href: ../ai-services/reference/rest-api-resources.md?context=/azure/ai-foundry/context/context
   - name: Azure AI Model Inference API
     href: ../ai-foundry/model-inference/reference/reference-model-inference-api.md
-  - name: Azure Policy built-ins
-    displayName: samples, policies, definitions
-    href: ../ai-services/policy-reference.md?context=/azure/ai-foundry/context/context
-  - name: Region support
-    href: reference/region-support.md
-- name: Resources
+  
+- name: Other resources
   items:
   - name: Azure AI FAQ
     href: faq.yml
@@ -627,3 +623,7 @@ items:
     href: https://azure.microsoft.com/support/legal/sla/cognitive-services/v1_1/
   - name: Azure Government
     href: /azure/azure-government/compare-azure-government-global-azure
+  - name: Azure Policy built-ins
+    displayName: samples, policies, definitions
+    href: ../ai-services/policy-reference.md?context=/azure/ai-foundry/context/context
+

articles/ai-services/agents/how-to/tools/azure-ai-search.md

@@ -21,16 +21,19 @@ Use an existing Azure AI Search index with the agent's Azure AI Search tool.
 > Azure AI Search indexes must meet the following requirements:
 > - The index must contain at least one searchable & retrievable text field (type Edm.String) 
 > - The index must contain at least one searchable vector field (type Collection(Edm.Single)) 
-> - The index must use a vector profile/integrated vectorization
+> - The index is assumed to be configured properly
 
 ## Search types
+You can specify the search type for your index by choosing one of the following
+- Simple
+- Semantic
+- Vector
+- Hybrid (Vector + Keyword)
+- Hybrid (Vector + Keyword + Semantic)
 
-**Index without semantic configuration**
-- By default, the Azure AI Search tool runs a hybrid search (keyword + vector) on all text fields. 
-<br>
 
-**Index with semantic configuration**
-- By default, the Azure AI Search tool runs hybrid + semantic search on all text fields.
+**Indexes without a specified search type**
+- By default, the Azure AI Search tool runs a hybrid search (keyword + vector) on all text fields 
 
 ## Usage support
 

articles/ai-services/agents/includes/azure-search/code-examples.md

@@ -136,7 +136,8 @@ conn_id =  "/subscriptions/<your-subscription-id>/resourceGroups/<your-resource-
 
 # Initialize agent AI search tool and add the search index connection ID and index name
 # TO DO: replace <your-index-name> with the name of the index you want to use
-ai_search = AzureAISearchTool(index_connection_id=conn_id, index_name="<your-index-name>")
+ai_search = AzureAISearchTool(index_connection_id=conn_id, index_name="<your-index-name>"
+query_type="<select-search-type>")
 ```
 # [C#](#tab/csharp)
 ```csharp
@@ -149,7 +150,7 @@ ToolResources searchResource = new ToolResources
 {
     AzureAISearch = new AzureAISearchResource
     {
-        IndexList = { new IndexResource(connection.Id, "<your-index-name>") }
+        IndexList = { new IndexResource(connection.Id, "<your-index-name>", "<select-search-type>") }
     }
 };
 ```

articles/ai-services/agents/includes/quickstart-javascript.md

@@ -31,11 +31,18 @@ ms.custom: devx-track-js
 | Run       | Activation of an agent to begin running based on the contents of Thread. The agent uses its configuration and Thread’s Messages to perform tasks by calling models and tools. As part of a Run, the agent appends Messages to the Thread. |
 | Run Step  | A detailed list of steps the agent took as part of a Run. An agent can call tools or create Messages during its run. Examining Run Steps allows you to understand how the agent is getting to its results.                                |
 
-Run the following commands to install the npm packages.
+First, initialize a new project by running:
+
+```console
+npm init -y
+```
+
+Run the following commands to install the npm packages required.
 
 ```console
 npm install @azure/ai-projects
 npm install @azure/identity
+npm install dotenv
 ```
 
 Next, to authenticate your API requests and run the program, use the [az login](/cli/azure/authenticate-azure-cli-interactively) command to sign into your Azure subscription.
@@ -60,7 +67,9 @@ For example, your connection string may look something like:
 
 `eastus.api.azureml.ms;12345678-abcd-1234-9fc6-62780b3d3e05;my-resource-group;my-project-name`
 
-Set this connection string as an environment variable named `PROJECT_CONNECTION_STRING`.
+Set this connection string as an environment variable named `PROJECT_CONNECTION_STRING` in a `.env` file.
+
+Next, create an `index.js` file and paste in the code below:
 
 ```javascript
 // index.js
@@ -75,12 +84,16 @@ import {
   ToolUtility,
 } from "@azure/ai-projects";
 import { DefaultAzureCredential } from "@azure/identity";
+import dotenv from 'dotenv';
+
+dotenv.config();
 
-const connectionString =
-  process.env["AZURE_AI_PROJECTS_CONNECTION_STRING"] || "<project connection string>";
+// Set the connection string from the environment variable
+const connectionString = process.env.PROJECT_CONNECTION_STRING;
 
+// Throw an error if the connection string is not set
 if (!connectionString) {
-  throw new Error("AZURE_AI_PROJECTS_CONNECTION_STRING must be set in the environment variables");
+  throw new Error("Please set the PROJECT_CONNECTION_STRING environment variable.");
 }
 
 export async function main() {
@@ -149,7 +162,7 @@ export async function main() {
   // messages[0] is the most recent
   for (let i = messages.data.length - 1; i >= 0; i--) {
     const m = messages.data[i];
-    if (isOutputOfType(m.content[0], "text")) {
+    if (m.content && m.content.length > 0 && isOutputOfType(m.content[0], "text")) {
       const textContent = m.content[0];
       console.log(`${textContent.text.value}`);
       console.log(`---------------------------------`);
@@ -164,3 +177,5 @@ main().catch((err) => {
   console.error("The sample encountered an error:", err);
 });
 ```
+
+Run the code using `node index.js` and observe.