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Jarno Hakulinen
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Doc updates for first stable azure-ai-agents release (#41122)
* stable release * update * update logic app pip install * update PROJECT_ENDPOINT description to samples
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sdk/ai/azure-ai-agents/CHANGELOG.md

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# Release History
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## 1.0.0 (2025-05-15)
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### Features Added
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- First stable release of Azure AI Agents client library.
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## 1.0.0b3 (2025-05-14)
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### Features Added

sdk/ai/azure-ai-agents/README.md

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<!-- PIPY LONG DESCRIPTION BEGIN -->
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# Azure AI Agents client library for Python
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Use the AI Agents client library (in preview) to:
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Use the AI Agents client library to:
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* **Develop Agents using the Azure AI Agents Service**, leveraging an extensive ecosystem of models, tools, and capabilities from OpenAI, Microsoft, and other LLM providers. The Azure AI Agents Service enables the building of Agents for a wide range of generative AI use cases. The package is currently in preview.
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* **Enable OpenTelemetry tracing**.
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* **Develop Agents using the Azure AI Agents Service**, leveraging an extensive ecosystem of models, tools, and capabilities from OpenAI, Microsoft, and other LLM providers. The Azure AI Agents Service enables the building of Agents for a wide range of generative AI use cases.
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* **Note:** While this package can be used independently, we recommend using the Azure AI Projects client library (azure-ai-projects) for an enhanced experience.
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The Projects library provides simplified access to advanced functionality, such as creating and managing agents, enumerating AI models, working with datasets and
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managing search indexes, evaluating generative AI performance, and enabling OpenTelemetry tracing.
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[Product documentation](https://aka.ms/azsdk/azure-ai-projects/product-doc)
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| [Samples][samples]

sdk/ai/azure-ai-agents/azure/ai/agents/_version.py

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# Changes may cause incorrect behavior and will be lost if the code is regenerated.
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# --------------------------------------------------------------------------
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VERSION = "1.0.0b3"
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VERSION = "1.0.0"

sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_azure_functions_async.py

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pip install azure-ai-projects azure-identity
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Set this environment variables with your own values:
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PROJECT_ENDPOINT - the Azure AI Agents endpoint.
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STORAGE_SERVICE_ENDPONT - the storage service queue endpoint, triggering Azure function.
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Set these environment variables with your own values:
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1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
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page of your Azure AI Foundry portal.
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2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
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the "Models + endpoints" tab in your Azure AI Foundry project.
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3) STORAGE_SERVICE_ENDPONT - the storage service queue endpoint, triggering Azure function.
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Please see Getting Started with Azure Functions page for more information on Azure Functions:
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https://learn.microsoft.com/azure/azure-functions/functions-get-started
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"""

sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_basics_async.py

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pip install azure-ai-agents azure-identity aiohttp
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Set this environment variables with your own values:
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PROJECT_ENDPOINT - the Azure AI Agents endpoint.
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Set these environment variables with your own values:
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1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
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page of your Azure AI Foundry portal.
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2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
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the "Models + endpoints" tab in your Azure AI Foundry project.
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"""
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import asyncio
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import time

sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_basics_create_thread_and_process_run_async.py

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pip install azure-ai-agents azure-identity aiohttp
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Required environment variables:
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1) PROJECT_ENDPOINT - Azure AI Agents endpoint.
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2) MODEL_DEPLOYMENT_NAME - Deployment name of the model.
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Set these environment variables with your own values:
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1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
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page of your Azure AI Foundry portal.
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2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
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the "Models + endpoints" tab in your Azure AI Foundry project.
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"""
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import asyncio
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import os

sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_basics_create_thread_and_run_async.py

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pip install azure-ai-agents azure-identity aiohttp
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Required environment variables:
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1) PROJECT_ENDPOINT - Azure AI Agents endpoint.
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2) MODEL_DEPLOYMENT_NAME - Deployment name of the model.
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Set these environment variables with your own values:
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1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
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page of your Azure AI Foundry portal.
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2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
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the "Models + endpoints" tab in your Azure AI Foundry project.
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"""
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import asyncio
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import os

sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_code_interpreter_async.py

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pip install azure-ai-agents azure-identity aiohttp
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Set this environment variables with your own values:
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PROJECT_ENDPOINT - the Azure AI Agents endpoint.
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Set these environment variables with your own values:
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1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
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page of your Azure AI Foundry portal.
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2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
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the "Models + endpoints" tab in your Azure AI Foundry project.
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"""
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import asyncio
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sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_code_interpreter_attachment_async.py

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pip install azure-ai-agents azure-identity aiohttp
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Set this environment variables with your own values:
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PROJECT_ENDPOINT - the Azure AI Agents endpoint.
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Set these environment variables with your own values:
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1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
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page of your Azure AI Foundry portal.
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2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
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the "Models + endpoints" tab in your Azure AI Foundry project.
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"""
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import asyncio
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import os

sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_code_interpreter_attachment_enterprise_search_async.py

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pip install azure-ai-agents azure-identity aiohttp
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Set this environment variables with your own values:
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PROJECT_ENDPOINT - the Azure AI Agents endpoint.
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Set these environment variables with your own values:
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1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
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page of your Azure AI Foundry portal.
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2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
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the "Models + endpoints" tab in your Azure AI Foundry project.
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"""
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import asyncio
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import os

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