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Copy file name to clipboardExpand all lines: articles/ai-services/agents/how-to/tools/azure-functions-samples.md
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## Using the .NET SDK
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### Prerequisites
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To make a function call we need to create and deploy the Azure function. In the code snippet below, we have an example of function on C# which can be used by the code above.
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To make a function call, we need to create and deploy the Azure function. In the code snippet, we have an example of function on C# which can be used by the earlier code.
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```csharp
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namespaceFunctionProj
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}
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```
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In this code we define function input and output class: `Arguments` and `Response` respectively. These two data classes will be serialized in JSON. It is important that these both contain field`CorrelationId`, which is the same between input and output.
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In this code we define function input and output class: `Arguments` and `Response` respectively. These two data classes are serialized in JSON. It's important that these both contain the`CorrelationId`, which is the same between input and output.
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In our example the function will be stored in the storage account, created with the AI hub. For that we need to allow key access to that storage. In Azure portal go to Storage account > Settings > Configuration and set "Allow storage account key access" to Enabled. If it is not done, the error will be displayed "The remote server returned an error: (403) Forbidden." To create the function resource that will host our function, install azure-cli python package and run the next command:
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In our example the function is stored in the storage account, created with the AI hub. For that we need to allow key access to that storage. In the Azure portal, go to Storage account > Settings > Configuration and set "Allow storage account key access" to Enabled. If it isn't done, the error that is displayed is "The remote server returned an error: (403) Forbidden." To create the function resource that will host our function, install azure-cli python package and run the next command:
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```shell
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pip install -U azure-cli
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az login
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az functionapp create --resource-group your-resource-group --consumption-plan-location region --runtime dotnet-isolated --functions-version 4 --name function_name --storage-account storage_account_already_present_in_resource_group --app-insights existing_or_new_application_insights_name
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```
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This function writes data to the output queue and hence needs to be authenticated to Azure, so we will need to assign the function system identity and provide it `Storage Queue Data Contributor`. To do that in Azure portal select the function, located in `your-resource-group` resource group and in Settings>Identity, switch it on and click Save. After that assign the `Storage Queue Data Contributor` permission on storage account used by our function (storage_account_already_present_in_resource_group in the script above) for just assigned System Managed identity.
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This function writes data to the output queue and hence needs to be authenticated to Azure, so we'll need to assign the function system identity and provide it `Storage Queue Data Contributor`. To do that in Azure portal, select the function, located in `your-resource-group` resource group and in Settings > Identity, switch it on and select Save. After that assign the `Storage Queue Data Contributor` permission on storage account used by our function (`storage_account_already_present_in_resource_group` in the script above) for the assigned system managed identity.
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Now we will create the function itself. Install [.NET](https://dotnet.microsoft.com/download) and [Core Tools](https://go.microsoft.com/fwlink/?linkid=2174087) and create the function project using next commands.
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Now we'll create the function itself. Install [.NET](https://dotnet.microsoft.com/download) and [Core Tools](https://go.microsoft.com/fwlink/?linkid=2174087) and create the function project using next commands.
**Note:** There is a "Azure Queue Storage trigger", however the attempt to use it results in error for now.
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We have created a project, containing HTTP-triggered azure function with the logic in `Foo.cs` file. As far as we need to trigger Azure function by a new message in the queue, we will replace the content of a Foo.cs by the C# sample code above.
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To deploy the function run the command from dotnet project folder:
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> [!NOTE]
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> There's an "Azure Queue Storage trigger," however the attempt to use it results in error for now.
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We have created a project, containing HTTP-triggered Azure function with the logic in `Foo.cs` file. As far as we need to trigger Azure function by a new message in the queue, we replace the content of a Foo.cs by the C# sample code above.
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To deploy the function, run the command from dotnet project folder:
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```shell
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func azure functionapp publish function_name
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func azure functionapp publish function_name
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```
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In the `storage_account_already_present_in_resource_group` select the `Queue service` and create two queues: `azure-function-foo-input` and `azure-function-tool-output`. Note that the same queues are used in our sample. To check that the function is working, place the next message into the `azure-function-foo-input` and replace `storage_account_already_present_in_resource_group` by the actual resource group name, or just copy the output queue address.
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In the `storage_account_already_present_in_resource_group` select the `Queue service` and create two queues: `azure-function-foo-input` and `azure-function-tool-output`. The same queues are used in our sample. To check that the function is working, place the next message into the `azure-function-foo-input` and replace `storage_account_already_present_in_resource_group` by the actual resource group name, or just copy the output queue address.
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```json
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{
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}
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```
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Next, we will monitor the output queue or the message. You should receive the next message.
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Next, we monitor the output queue or the message. You should receive the next message.
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```json
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{
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"Value": "Bar",
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"CorrelationId": "42"
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}
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```
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Please note that the input `CorrelationId` is the same as output.
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*Hint:* Place multiple messages to input queue and keep second internet browser window with the output queue open and hit the refresh button on the portal user interface, so that you will not miss the message. If the message instead went to `azure-function-foo-input-poison` queue, the function completed with error, please check your setup.
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After we have tested the function and made sure it works, please make sure that the Azure AI Project have the next roles for the storage account: `Storage Account Contributor`, `Storage Blob Data Contributor`, `Storage File Data Privileged Contributor`, `Storage Queue Data Contributor` and `Storage Table Data Contributor`. Now the function is ready to be used by the agent.
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The input `CorrelationId` is the same as output.
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In the example below we are calling function "foo", which responds "Bar".
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> [!TIP]
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> Place multiple messages to input queue and keep second internet browser window with the output queue open and hit the refresh button on the portal user interface, so that you won't miss the message. If the message instead went to `azure-function-foo-input-poison` queue, the function completed with error, check your setup.
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After testing the function and made sure it works, make sure that the Azure AI Project has the following roles for the storage account: `Storage Account Contributor`, `Storage Blob Data Contributor`, `Storage File Data Privileged Contributor`, `Storage Queue Data Contributor` and `Storage Table Data Contributor`. Now the function is ready to be used by the agent.
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In the example below we're calling function "foo," which responds "Bar."
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### .NET Sample Code
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@@ -537,4 +540,3 @@ In the example below we are calling function "foo", which responds "Bar".
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