# Summary These samples showcases the ability to parse a declarative Foundry Workflow file (YAML) to build a `Workflow` that may be executed using the same pattern as any code-based workflow. ## Configuration These samples must be configured to create and use agents your [Azure Foundry Project](https://learn.microsoft.com/azure/ai-foundry). ### Settings We suggest using .NET [Secret Manager](https://learn.microsoft.com/en-us/aspnet/core/security/app-secrets) to avoid the risk of leaking secrets into the repository, branches and pull requests. You can also use environment variables if you prefer. The configuraton required by the samples is: |Setting Name| Description| |:--|:--| |FOUNDRY_PROJECT_ENDPOINT| The endpoint URL of your Azure Foundry Project.| |FOUNDRY_MODEL_DEPLOYMENT_NAME| The name of the model deployment to use |FOUNDRY_CONNECTION_GROUNDING_TOOL| The name of the Bing Grounding connection configured in your Azure Foundry Project.| To set your secrets with .NET Secret Manager: 1. From the root of the repository, navigate the console to the project folder: ``` cd dotnet/samples/GettingStarted/Workflows/Declarative/ExecuteWorkflow ``` 2. Examine existing secret definitions: ``` dotnet user-secrets list ``` 3. If needed, perform first time initialization: ``` dotnet user-secrets init ``` 4. Define setting that identifies your Azure Foundry Project (endpoint): ``` dotnet user-secrets set "FOUNDRY_PROJECT_ENDPOINT" "https://..." ``` 5. Define setting that identifies your Azure Foundry Model Deployment (endpoint): ``` dotnet user-secrets set "FOUNDRY_MODEL_DEPLOYMENT_NAME" "gpt-5" ``` 6. Define setting that identifies your Bing Grounding connection: ``` dotnet user-secrets set "FOUNDRY_CONNECTION_GROUNDING_TOOL" "mybinggrounding" ``` You may alternatively set your secrets as an environment variable (PowerShell): ```pwsh $env:FOUNDRY_PROJECT_ENDPOINT="https://..." $env:FOUNDRY_MODEL_DEPLOYMENT_NAME="gpt-5" $env:FOUNDRY_CONNECTION_GROUNDING_TOOL="mybinggrounding" ``` ### Authorization Use [_Azure CLI_](https://learn.microsoft.com/cli/azure/authenticate-azure-cli) to authorize access to your Azure Foundry Project: ``` az login az account get-access-token ``` ## Execution The samples may be executed within _Visual Studio_ or _VS Code_. To run the sampes from the command line: 1. From the root of the repository, navigate the console to the project folder: ```sh cd dotnet/samples/GettingStarted/Workflows/Declarative/Marketing dotnet run Marketing ``` 2. Run the demo and optionally provided input: ```sh dotnet run "An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours." dotnet run c:/myworkflows/Marketing.yaml ``` > The sample will allow for interactive input in the absence of an input argument.