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Post release automated changes for ai releases #36784

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10 changes: 10 additions & 0 deletions sdk/ai/ai-projects/CHANGELOG.md
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@@ -1,5 +1,15 @@
# Release History

## 2.0.0-beta.3 (Unreleased)

### Features Added

### Breaking Changes

### Bugs Fixed

### Other Changes

## 2.0.0-beta.2 (2025-12-02)

### Breaking changes
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2 changes: 1 addition & 1 deletion sdk/ai/ai-projects/package.json
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{
"name": "@azure/ai-projects",
"version": "2.0.0-beta.2",
"version": "2.0.0-beta.3",
"description": "Azure AI Projects client library.",
"engines": {
"node": ">=20.0.0"
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1 change: 1 addition & 0 deletions sdk/ai/ai-projects/samples/v2-beta/javascript/README.md
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Expand Up @@ -47,6 +47,7 @@ These sample programs show how to use the JavaScript client libraries for Azure
| [indexes/indexesBasics.js][indexes_indexesbasics] | Given an AIProjectClient, this sample demonstrates how to enumerate the properties of all indexes, get the properties of an index by its name, and delete an index. |
| [memories/memoriesBasics.js][memories_memoriesbasics] | Create a memory store, add user memories, search for stored memories, and clean up resources using the Memory Store APIs in the Azure AI Projects client. |
| [redTeam/redTeamBasic.js][redteam_redteambasic] | Given an AIProjectClient, this sample demonstrates how to create, get, and list Red Team scans. |
| [telemetry/telemetryBasics.js][telemetry_telemetrybasics] | Given the AIProjectClient, this sample shows how to get the connection string for telemetry. |

## Prerequisites

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2 changes: 2 additions & 0 deletions sdk/ai/ai-projects/samples/v2-beta/javascript/agents/agentFileSearch.js
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Expand Up @@ -14,10 +14,12 @@ const { DefaultAzureCredential } = require("@azure/identity");
const { AIProjectClient } = require("@azure/ai-projects");
const fs = require("fs");
const path = require("path");
const { fileURLToPath } = require("url");
require("dotenv/config");

const projectEndpoint = process.env["AZURE_AI_PROJECT_ENDPOINT"] || "<project endpoint>";
const deploymentName = process.env["MODEL_DEPLOYMENT_NAME"] || "<model deployment name>";
const __dirname = path.dirname(fileURLToPath(import.meta.url));
Comment on lines +17 to +22
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Copilot AI Dec 3, 2025

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Using import.meta.url in CommonJS modules will cause a runtime error. Since this package uses CommonJS (no "type": "module" in package.json), use __dirname directly instead, which is available natively in CommonJS.

Remove these lines:

const { fileURLToPath } = require("url");
const __dirname = path.dirname(fileURLToPath(import.meta.url));

And use __dirname directly since it's already available in CommonJS.

Suggested change
const { fileURLToPath } = require("url");
require("dotenv/config");
const projectEndpoint = process.env["AZURE_AI_PROJECT_ENDPOINT"] || "<project endpoint>";
const deploymentName = process.env["MODEL_DEPLOYMENT_NAME"] || "<model deployment name>";
const __dirname = path.dirname(fileURLToPath(import.meta.url));
require("dotenv/config");
const projectEndpoint = process.env["AZURE_AI_PROJECT_ENDPOINT"] || "<project endpoint>";
const deploymentName = process.env["MODEL_DEPLOYMENT_NAME"] || "<model deployment name>";

Copilot uses AI. Check for mistakes.
const assetFilePath = path.resolve(__dirname, "assets", "product_info.md");

async function main() {
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3 changes: 3 additions & 0 deletions sdk/ai/ai-projects/samples/v2-beta/javascript/agents/tools/agentFileSearch.js
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Expand Up @@ -13,13 +13,16 @@ const { DefaultAzureCredential } = require("@azure/identity");
const { AIProjectClient } = require("@azure/ai-projects");
const fs = require("fs");
const path = require("path");
const { fileURLToPath } = require("url");
require("dotenv/config");

const projectEndpoint = process.env["AZURE_AI_PROJECT_ENDPOINT"] || "<project endpoint>";
const deploymentName = process.env["MODEL_DEPLOYMENT_NAME"] || "<model deployment name>";

async function main() {
// Load the file to be indexed for search
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);
Comment on lines +16 to +25
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Copilot AI Dec 3, 2025

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Using import.meta.url in CommonJS modules will cause a runtime error. Since this package uses CommonJS (no "type": "module" in package.json), use __dirname directly instead, which is available natively in CommonJS.

Remove line 19:

const { fileURLToPath } = require("url");

And instead of:

const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

Use __dirname directly since it's already available in CommonJS.

Copilot uses AI. Check for mistakes.
const assetFilePath = path.join(__dirname, "../assets/product_info.md");

// Create AI Project client
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3 changes: 3 additions & 0 deletions sdk/ai/ai-projects/samples/v2-beta/javascript/agents/tools/agentImageGeneration.js
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Expand Up @@ -16,6 +16,7 @@ const { DefaultAzureCredential } = require("@azure/identity");
const { AIProjectClient } = require("@azure/ai-projects");
const fs = require("fs");
const path = require("path");
const { fileURLToPath } = require("url");
require("dotenv/config");

const projectEndpoint = process.env["AZURE_AI_PROJECT_ENDPOINT"] || "<project endpoint>";
Expand Down Expand Up @@ -62,6 +63,8 @@ async function main() {
if (imageData && imageData.length > 0 && imageData[0].result) {
console.log("Downloading generated image...");

const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);
Comment on lines +66 to +67
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Copilot AI Dec 3, 2025

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Using import.meta.url in CommonJS modules will cause a runtime error. Since this package uses CommonJS (no "type": "module" in package.json), use __dirname directly instead, which is available natively in CommonJS.

Remove these lines:

const { fileURLToPath } = require("url");
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

And use __dirname directly since it's already available in CommonJS.

Copilot uses AI. Check for mistakes.
const filename = "microsoft.png";
const filePath = path.join(__dirname, filename);

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3 changes: 3 additions & 0 deletions sdk/ai/ai-projects/samples/v2-beta/javascript/agents/tools/computerUseUtil.js
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Expand Up @@ -8,7 +8,10 @@

const fs = require("fs");
const path = require("path");
const { fileURLToPath } = require("url");

const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);
Comment on lines +11 to +14
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Copilot AI Dec 3, 2025

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Using import.meta.url in CommonJS modules will cause a runtime error. Since this package uses CommonJS (no "type": "module" in package.json), use __dirname directly instead, which is available natively in CommonJS.

Remove these lines:

const { fileURLToPath } = require("url");
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

And use __dirname directly since it's already available in CommonJS.

Suggested change
const { fileURLToPath } = require("url");
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

Copilot uses AI. Check for mistakes.
/**
* Enum for tracking the state of the simulated web search workflow.
*/
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6 changes: 5 additions & 1 deletion sdk/ai/ai-projects/samples/v2-beta/javascript/datasets/datasetsBasics.js
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Expand Up @@ -11,8 +11,12 @@
const { AIProjectClient } = require("@azure/ai-projects");
const { DefaultAzureCredential } = require("@azure/identity");
const path = require("path");
const { fileURLToPath } = require("url");
require("dotenv/config");

const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

Comment on lines +14 to +19
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Copilot AI Dec 3, 2025

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Using import.meta.url in CommonJS modules will cause a runtime error. Since this package uses CommonJS (no "type": "module" in package.json), use __dirname directly instead, which is available natively in CommonJS.

Remove these lines:

const { fileURLToPath } = require("url");
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

And use __dirname directly since it's already available in CommonJS.

Suggested change
const { fileURLToPath } = require("url");
require("dotenv/config");
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);
require("dotenv/config");

Copilot uses AI. Check for mistakes.
const projectEndpoint = process.env["AZURE_AI_PROJECT_ENDPOINT"] || "<project endpoint string>";
const containerConnectionName =
process.env["AZURE_STORAGE_CONNECTION_NAME"] || "<storage connection name>";
Expand Down Expand Up @@ -87,7 +91,7 @@ async function main() {
console.log("Dataset version 1:", JSON.stringify(datasetVersion1, null, 2));

console.log(`Listing all versions of the Dataset named '${datasetName}':`);
const datasetVersions = await project.datasets.listVersions(datasetName);
const datasetVersions = project.datasets.listVersions(datasetName);
for await (const version of datasetVersions) {
console.log("List versions:", version);
}
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2 changes: 2 additions & 0 deletions sdk/ai/ai-projects/samples/v2-beta/javascript/files/filesBasic.js
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Expand Up @@ -10,11 +10,13 @@

const { DefaultAzureCredential } = require("@azure/identity");
const { AIProjectClient } = require("@azure/ai-projects");
const { fileURLToPath } = require("url");
const fs = require("fs");
const path = require("path");
require("dotenv/config");

const projectEndpoint = process.env["AZURE_AI_PROJECT_ENDPOINT"] || "<project endpoint string>";
const __dirname = path.dirname(fileURLToPath(import.meta.url));
Comment on lines +13 to +19
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Copilot AI Dec 3, 2025

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Using import.meta.url in CommonJS modules will cause a runtime error. Since this package uses CommonJS (no "type": "module" in package.json), use __dirname directly instead, which is available natively in CommonJS.

Remove these lines:

const { fileURLToPath } = require("url");
const __dirname = path.dirname(fileURLToPath(import.meta.url));

And use __dirname directly since it's already available in CommonJS:

const filePath = path.join(__dirname, "data", "training_set.jsonl");
Suggested change
const { fileURLToPath } = require("url");
const fs = require("fs");
const path = require("path");
require("dotenv/config");
const projectEndpoint = process.env["AZURE_AI_PROJECT_ENDPOINT"] || "<project endpoint string>";
const __dirname = path.dirname(fileURLToPath(import.meta.url));
const fs = require("fs");
const path = require("path");
require("dotenv/config");
const projectEndpoint = process.env["AZURE_AI_PROJECT_ENDPOINT"] || "<project endpoint string>";

Copilot uses AI. Check for mistakes.
const filePath = path.join(__dirname, "data", "training_set.jsonl");

async function main() {
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2 changes: 1 addition & 1 deletion sdk/ai/ai-projects/samples/v2-beta/javascript/package.json
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Expand Up @@ -28,7 +28,7 @@
"dependencies": {
"@azure/ai-projects": "next",
"dotenv": "latest",
"@azure/identity": "^4.11.1",
"@azure/identity": "^4.13.0",
"openai": "^6.1.0"
},
"devDependencies": {
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33 changes: 1 addition & 32 deletions sdk/ai/ai-projects/samples/v2-beta/typescript/README.md
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Expand Up @@ -47,38 +47,7 @@ These sample programs show how to use the TypeScript client libraries for Azure
| [indexes/indexesBasics.ts][indexes_indexesbasics] | Given an AIProjectClient, this sample demonstrates how to enumerate the properties of all indexes, get the properties of an index by its name, and delete an index. |
| [memories/memoriesBasics.ts][memories_memoriesbasics] | Create a memory store, add user memories, search for stored memories, and clean up resources using the Memory Store APIs in the Azure AI Projects client. |
| [redTeam/redTeamBasic.ts][redteam_redteambasic] | Given an AIProjectClient, this sample demonstrates how to create, get, and list Red Team scans. |
| **File Name** | **Description** |
| ----------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| [agents/agentBasic.ts][agents_agentbasic] | This sample demonstrates how to create an agent, create a conversation, generate responses using the agent, and clean up resources. |
| [agents/agentCodeInterpreter.ts][agents_agentcodeinterpreter] | This sample demonstrates how to create a response with code interpreter tool to solve mathematical equations. |
| [agents/agentFileSearch.ts][agents_agentfilesearch] | This sample demonstrates how to create an agent with file search capabilities, upload documents to a vector store, and stream responses that include file search results. |
| [agents/tools/agentAgentToAgent.ts][agents_tools_agentagenttoagent] | This sample demonstrates how to create an agent with A2A tool capabilities, enable inter-agent communication, and process streaming responses. |
| [agents/tools/agentAiSearch.ts][agents_tools_agentaisearch] | This sample demonstrates how to create an agent with Azure AI Search tool capabilities, send queries to search indexed content, and process streaming responses with citations. |
| [agents/tools/agentBingCustomSearch.ts][agents_tools_agentbingcustomsearch] | This sample demonstrates how to create an agent with Bing Custom Search tool capabilities, search custom search instances, and process streaming responses with citations. |
| [agents/tools/agentBingGrounding.ts][agents_tools_agentbinggrounding] | This sample demonstrates how to create an agent with Bing grounding tool capabilities, search the web for current information, and process streaming responses with source citations. |
| [agents/tools/agentBrowserAutomation.ts][agents_tools_agentbrowserautomation] | This sample demonstrates how to create an agent with Browser Automation tool, perform web browsing tasks, and process streaming responses with browser automation events. |
| [agents/tools/agentComputerUse.ts][agents_tools_agentcomputeruse] | This sample demonstrates how to create a Computer Use Agent that can interact with computer interfaces through simulated actions and screenshots. |
| [agents/tools/agentFabric.ts][agents_tools_agentfabric] | This sample demonstrates how to create an agent with Microsoft Fabric tool capabilities, send queries to Fabric data sources, and clean up resources. |
| [agents/tools/agentFileSearch.ts][agents_tools_agentfilesearch] | This sample demonstrates how to create a vector store, upload a file, create an agent with file search capabilities, generate responses, and clean up resources. |
| [agents/tools/agentImageGeneration.ts][agents_tools_agentimagegeneration] | This sample demonstrates how to create an agent with ImageGenTool configured for image generation, make requests to generate images from text prompts, extract base64-encoded image data from the response, decode and save the generated image to a local file, and clean up created resources. |
| [agents/tools/agentMcp.ts][agents_tools_agentmcp] | This sample demonstrates how to create an agent with MCP tool capabilities, send requests that trigger MCP approval workflows, handle approval requests, and clean up resources. |
| [agents/tools/agentMcpConnectionAuth.ts][agents_tools_agentmcpconnectionauth] | This sample demonstrates how to create an agent with MCP tool capabilities using project connection authentication, send requests that trigger MCP approval workflows, handle approval requests, and clean up resources. |
| [agents/tools/agentSharepoint.ts][agents_tools_agentsharepoint] | This sample demonstrates how to create an agent with SharePoint tool capabilities, search SharePoint content, and process streaming responses with citations. |
| [agents/tools/agentWebSearch.ts][agents_tools_agentwebsearch] | This sample demonstrates how to create an agent with web search capabilities, send a query to search the web, and clean up resources. |
| [responses/responseBasic.ts][responses_responsebasic] | This sample demonstrates how to create responses with and without conversation context. |
| [responses/responseStream.ts][responses_responsestream] | This sample demonstrates how to create a non-streaming response and then use streaming for a follow-up response with conversation context. |
| [agents/agentFunctionTool.ts][agents_agentfunctiontool] | Demonstrates how to create an agent with function tools, handle function calls, and provide function results to get the final response. |
| [agents/agentContainerAppBasic.ts][agents_agentcontainerappbasic] | demonstrates how to use basic container app agent operations. |
| [agents/agentConversationCurd.ts][agents_agentconversationcurd] | demonstrates how to use basic conversation operations. |
| [agents/agentCurd.ts][agents_agentcurd] | demonstrates how to use basic agent operations. |
| [agents/tools/computerUseUtil.ts][agents_tools_computeruseutil] | Utility functions for Computer Use Agent samples. Shared helper functions and classes for Computer Use Agent samples. |
| [connections/connectionsBasics.ts][connections_connectionsbasics] | Given an AIProjectClient, this sample demonstrates how to enumerate the properties of all connections, get the properties of a default connection, and get the properties of a connection by its name. |
| [conversations/conversationsBasics.ts][conversations_conversationsbasics] | This sample demonstrates how to create, retrieve, update, list, and delete conversations using the OpenAI client. |
| [datasets/datasetsBasics.ts][datasets_datasetsbasics] | Given an AIProjectClient, this sample demonstrates how to enumerate the properties of datasets, upload files/folders, create datasets, manage dataset versions, and delete datasets. |
| [deployments/deploymentsBasics.ts][deployments_deploymentsbasics] | Given an AIProjectClient, this sample demonstrates how to enumerate the properties of all deployments, get the properties of a deployment by its name, and delete a deployment. |
| [files/filesBasic.ts][files_filesbasic] | Using an OpenAI client, this sample demonstrates how to perform files operations: create, retrieve, content, list, and delete. |
| [indexes/indexesBasics.ts][indexes_indexesbasics] | Given an AIProjectClient, this sample demonstrates how to enumerate the properties of all indexes, get the properties of an index by its name, and delete an index. |
| [redTeam/redTeamBasic.ts][redteam_redteambasic] | Given an AIProjectClient, this sample demonstrates how to create, get, and list Red Team scans. |
| [telemetry/telemetryBasics.ts][telemetry_telemetrybasics] | Given the AIProjectClient, this sample shows how to get the connection string for telemetry. |

## Prerequisites

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2 changes: 1 addition & 1 deletion sdk/ai/ai-projects/samples/v2-beta/typescript/package.json
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Expand Up @@ -32,7 +32,7 @@
"dependencies": {
"@azure/ai-projects": "next",
"dotenv": "latest",
"@azure/identity": "^4.11.1",
"@azure/identity": "^4.13.0",
"openai": "^6.1.0"
},
"devDependencies": {
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