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[azure-ai-agents] Fix env var name mismatch, typos, and stale link in README #48118

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[azure-ai-agents] Fix env var name mismatch, typos, and stale link in README #48118

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[azure-ai-agents] Fix README env var name, stale link, and grammar
kkchandi Jul 17, 2026
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kkchandi Jul 17, 2026
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8 changes: 4 additions & 4 deletions sdk/ai/azure-ai-agents/README.md
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Expand Up @@ -69,10 +69,10 @@ To report an issue with the client library, or request additional features, plea

- Python 3.9 or later.
- An [Azure subscription][azure_sub].
- A [project in Azure AI Foundry](https://learn.microsoft.com/azure/ai-studio/how-to/create-projects).
- The project endpoint string. It can be found in your Azure AI Foundry project overview page, under "Project details". Below we will assume the environment variable `PROJECT_ENDPOINT_STRING` was defined to hold this value.
- A [project in Azure AI Foundry](https://learn.microsoft.com/azure/ai-foundry/how-to/create-projects).
- The project endpoint string. It can be found in your Azure AI Foundry project overview page, under "Project details". Below we will assume the environment variable `PROJECT_ENDPOINT` was defined to hold this value.
- Entra ID is needed to authenticate the client. Your application needs an object that implements the [TokenCredential](https://learn.microsoft.com/python/api/azure-core/azure.core.credentials.tokencredential) interface. Code samples here use [DefaultAzureCredential](https://learn.microsoft.com/python/api/azure-identity/azure.identity.defaultazurecredential). To get that working, you will need:
* An appropriate role assignment. see [Role-based access control in Azure AI Foundry portal](https://learn.microsoft.com/azure/ai-foundry/concepts/rbac-ai-foundry). Role assigned can be done via the "Access Control (IAM)" tab of your Azure AI Project resource in the Azure portal.
* An appropriate role assignment. See [Role-based access control in Azure AI Foundry portal](https://learn.microsoft.com/azure/ai-foundry/concepts/rbac-ai-foundry). Role assignment can be done via the "Access Control (IAM)" tab of your Azure AI Project resource in the Azure portal.
* [Azure CLI](https://learn.microsoft.com/cli/azure/install-azure-cli) installed.
* You are logged into your Azure account by running `az login`.
* Note that if you have multiple Azure subscriptions, the subscription that contains your Azure AI Project resource must be your default subscription. Run `az account list --output table` to list all your subscription and see which one is the default. Run `az account set --subscription "Your Subscription ID or Name"` to change your default subscription.
Expand Down Expand Up @@ -224,7 +224,7 @@ agent = agents_client.create_agent(

<!-- END SNIPPET -->

Also notices that if you use asynchronous client, you use `AsyncToolSet` instead. Additional information related to `AsyncFunctionTool` be discussed in the later sections.
Also note that if you use the asynchronous client, you use `AsyncToolSet` instead. Additional information related to `AsyncFunctionTool` will be discussed in later sections.

Here is an example to use `tools` and `tool_resources`:
<!-- SNIPPET:sample_agents_vector_store_batch_file_search.create_agent_with_tools_and_tool_resources -->
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