Aspire.Hosting.Foundry
13.3.5-preview.1.26270.6
Prefix Reserved
dotnet add package Aspire.Hosting.Foundry --version 13.3.5-preview.1.26270.6
NuGet\Install-Package Aspire.Hosting.Foundry -Version 13.3.5-preview.1.26270.6
<PackageReference Include="Aspire.Hosting.Foundry" Version="13.3.5-preview.1.26270.6" />
<PackageVersion Include="Aspire.Hosting.Foundry" Version="13.3.5-preview.1.26270.6" />
<PackageReference Include="Aspire.Hosting.Foundry" />
paket add Aspire.Hosting.Foundry --version 13.3.5-preview.1.26270.6
#r "nuget: Aspire.Hosting.Foundry, 13.3.5-preview.1.26270.6"
#:package Aspire.Hosting.Foundry@13.3.5-preview.1.26270.6
#addin nuget:?package=Aspire.Hosting.Foundry&version=13.3.5-preview.1.26270.6&prerelease
#tool nuget:?package=Aspire.Hosting.Foundry&version=13.3.5-preview.1.26270.6&prerelease
Aspire.Hosting.Foundry library
Provides extension methods and resource definitions for an Aspire AppHost to configure Microsoft Foundry.
Getting started
Prerequisites
- Azure subscription - create one for free
Install the package
In your AppHost project, install the Aspire Microsoft Foundry Hosting library with NuGet:
dotnet add package Aspire.Hosting.Foundry
Configure Azure Provisioning for local development
Adding Azure resources to the Aspire application model will automatically enable development-time provisioning for Azure resources so that you don't need to configure them manually. Provisioning requires a number of settings to be available via .NET configuration. Set these values in user secrets in order to allow resources to be configured automatically.
{
"Azure": {
"SubscriptionId": "<your subscription id>",
"ResourceGroupPrefix": "<prefix for the resource group>",
"Location": "<azure location>"
}
}
Usage example
Then, in the AppHost.cs file of AppHost, add a Microsoft Foundry deployment and consume the connection using the following methods:
var chat = builder.AddFoundry("foundry")
.AddDeployment("chat", "Phi-4", "1", "Microsoft");
var myService = builder.AddProject<Projects.MyService>()
.WithReference(chat);
The WithReference method passes that connection information into a connection string named chat in the MyService project.
Configuring deployment rate limits
The SkuCapacity property controls the rate limit in thousands of tokens per minute (TPM). For example, a value of 10 means 10,000 TPM. The default is 1 (1,000 TPM). Use WithProperties to configure it:
var chat = builder.AddFoundry("foundry")
.AddDeployment("chat", "gpt-4", "1", "OpenAI")
.WithProperties(d => d.SkuCapacity = 10);
See the Azure AI quota management documentation for available quota limits per model and region.
In the Program.cs file of MyService, the connection can be consumed using a client library like Aspire.Azure.AI.Inference or Aspire.OpenAI if the model is compatible with the OpenAI API:
Note: The format parameter of the AddDeployment() method can be found in the Microsoft Foundry portal in the details
page of the model, right after the Quick facts text.
Inference client usage
builder.AddAzureChatCompletionsClient("chat")
.AddChatClient();
OpenAI client usage
builder.AddOpenAIClient("chat")
.AddChatClient();
Emulator usage
Aspire supports the usage of Foundry Local. Add the following to your AppHost project:
// AppHost
var chat = builder.AddFoundry("foundry")
.RunAsFoundryLocal()
.AddDeployment("chat", "phi-3.5-mini", "1", "Microsoft");
When the AppHost starts up, the local Foundry service will also be started.
This requires the local machine to have Foundry Local installed and running.
Connection Properties
When you reference Microsoft Foundry resources using WithReference, the following connection properties are made available to the consuming project:
Microsoft Foundry resource
The Microsoft Foundry resource exposes the following connection properties:
| Property Name | Description |
|---|---|
Uri |
The endpoint URI for the Microsoft Foundry resource, with the format https://<resource_name>.services.ai.azure.com/ or the emulator service URI when running Foundry Local (e.g., http://127.0.0.1:61799/v1) |
Key |
The API key when using Foundry Local |
Microsoft Foundry deployment
The Microsoft Foundry deployment resource inherits all properties from its parent Microsoft Foundry resource and adds:
| Property Name | Description |
|---|---|
ModelName |
The deployment name when targeting Azure or model identifier when running Foundry Local, e.g., Phi-4, my-chat |
Format |
The deployment format, e.g., OpenAI, Microsoft, xAi, Deepseek |
Version |
The deployment version, e.g., 1, 2025-08-07 |
Microsoft Foundry project
The Microsoft Foundry project resource exposes the following connection properties:
| Property Name | Description |
|---|---|
Uri |
The project endpoint URI, with the format https://<account>.services.ai.azure.com/api/projects/<project> |
ConnectionString |
The connection string, with the format Endpoint=<uri> |
ApplicationInsightsConnectionString |
The Application Insights connection string for telemetry |
Aspire exposes each property as an environment variable named [RESOURCE]_[PROPERTY]. For instance, the Uri property of a resource called chat becomes CHAT_URI.
Microsoft Foundry project usage
You can create a Microsoft Foundry project resource to organize agents and model deployments:
var foundry = builder.AddFoundry("foundry");
var project = foundry.AddProject("my-project");
var chat = project.AddModelDeployment("chat", "gpt-4", "1.0", "OpenAI");
var myService = builder.AddPythonApp("agent", "./app", "main:app")
.WithReference(project);
The project can also be configured with additional Azure resources:
var appInsights = builder.AddAzureApplicationInsights("ai");
var keyVault = builder.AddAzureKeyVault("kv");
var project = foundry.AddProject("my-project")
.WithAppInsights(appInsights)
.WithKeyVault(keyVault);
Hosted agent usage
To deploy a containerized application as a hosted agent in Microsoft Foundry:
var foundry = builder.AddFoundry("foundry");
var project = foundry.AddProject("my-project");
builder.AddPythonApp("agent", "./app", "main:app")
.PublishAsHostedAgent(project);
In run mode, the agent runs locally with health check endpoints and OpenTelemetry instrumentation. In publish mode, the agent is deployed as a hosted agent in Microsoft Foundry.
Prompt agent usage
Prompt agents are declarative agents defined by a model, instructions, and tools. They are always deployed to Azure Foundry — even during local development (aspire run) — and local services communicate with the cloud-provisioned agent.
Tools are project-level resources that can be reused across multiple agents:
var foundry = builder.AddFoundry("foundry");
var project = foundry.AddProject("my-project");
var chat = project.AddModelDeployment("gpt41", FoundryModel.OpenAI.Gpt41);
// Create tools at the project level
var codeInterp = project.AddCodeInterpreterTool("code-interp");
var webSearch = project.AddWebSearchTool("web-search");
// Add agent with tools
var agent = project.AddPromptAgent(chat, "joker-agent",
instructions: "You are good at telling jokes.")
.WithTool(codeInterp)
.WithTool(webSearch);
builder.AddPythonApp("app", "./app", "main:app")
.WithReference(agent);
Available tools
Prompt agents support several tool types, all created as project-level resources:
| Tool | Extension Method | Description |
|---|---|---|
| Code Interpreter | project.AddCodeInterpreterTool(name) |
Runs Python code in a sandbox |
| File Search | project.AddFileSearchTool(name, vectorStoreIds) |
Searches uploaded documents via vector search |
| Web Search | project.AddWebSearchTool(name) |
Retrieves real-time web information |
| Azure AI Search | project.AddAISearchTool(name).WithReference(search) |
Grounds responses using Azure AI Search indexes |
| Bing Grounding | project.AddBingGroundingTool(name).WithReference(conn) |
Grounds responses using Bing Search |
| SharePoint | project.AddSharePointTool(name, connectionIds) |
Searches SharePoint data |
| Microsoft Fabric | project.AddFabricTool(name, connectionIds) |
Queries data through Fabric data agents |
| Azure Functions | project.AddAzureFunctionTool(name, ...) |
Invokes serverless Azure Functions |
| Function Calling | project.AddFunctionTool(name, funcName, params) |
Calls application-defined functions |
| Image Generation | project.AddImageGenerationTool(name) |
Generates and edits images (preview) |
| Computer Use | project.AddComputerUseTool(name, w, h) |
Interacts with a computer desktop (preview) |
Azure AI Search tool example
var search = builder.AddAzureSearch("search");
var aiSearch = project.AddAISearchTool("search-tool").WithReference(search);
var agent = project.AddPromptAgent(chat, "research-agent")
.WithTool(aiSearch);
Bing Grounding tool example
Note: The Bing Search resource (
Microsoft.Bing/accounts) cannot be provisioned via Bicep or ARM templates. You must create it manually in the Azure portal. Once created, Aspire can automatically provision the Foundry project connection for you.
The simplest approach is to pass the Bing resource ID directly — Aspire will create the connection with the correct authentication and metadata:
var bingResourceId = "/subscriptions/{subId}/resourceGroups/{rg}/providers/Microsoft.Bing/accounts/{name}";
var bing = project.AddBingGroundingTool("bing-tool").WithReference(bingResourceId);
var agent = project.AddPromptAgent(chat, "news-agent")
.WithTool(bing);
Alternatively, you can create the connection yourself for full control:
var bingConnection = project.AddBingGroundingConnection("bing-conn", bingResourceId);
var bing = project.AddBingGroundingTool("bing-tool").WithReference(bingConnection);
Tool reuse across agents
Tools are project-level resources, so they can be shared across multiple agents:
var codeInterp = project.AddCodeInterpreterTool("code-interp");
var webSearch = project.AddWebSearchTool("web-search");
var agent1 = project.AddPromptAgent(chat, "agent-1").WithTool(codeInterp).WithTool(webSearch);
var agent2 = project.AddPromptAgent(chat, "agent-2").WithTool(codeInterp);
Additional documentation
- https://learn.microsoft.com/azure/ai-foundry/what-is-azure-ai-foundry
- https://learn.microsoft.com/azure/ai-foundry/foundry-local/
- https://github.com/microsoft/aspire/tree/main/src/Components/README.md
Feedback & contributing
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net8.0 is compatible. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. net10.0 was computed. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
-
net8.0
- Aspire.Hosting.Azure (>= 13.3.5)
- Aspire.Hosting.Azure.ApplicationInsights (>= 13.3.5)
- Aspire.Hosting.Azure.ContainerRegistry (>= 13.3.5)
- Aspire.Hosting.Azure.CosmosDB (>= 13.3.5)
- Aspire.Hosting.Azure.Search (>= 13.3.5)
- Aspire.Hosting.Azure.Storage (>= 13.3.5)
- AspNetCore.HealthChecks.Azure.Storage.Blobs (>= 9.0.0)
- AspNetCore.HealthChecks.Azure.Storage.Queues (>= 9.0.0)
- AspNetCore.HealthChecks.CosmosDb (>= 9.0.0)
- AspNetCore.HealthChecks.Uris (>= 9.0.0)
- Azure.AI.Projects (>= 2.0.0)
- Azure.Core (>= 1.53.0)
- Azure.Identity (>= 1.21.0)
- Azure.Provisioning (>= 1.5.0)
- Azure.Provisioning.ApplicationInsights (>= 1.1.0)
- Azure.Provisioning.CognitiveServices (>= 1.2.0)
- Azure.Provisioning.ContainerRegistry (>= 1.1.0)
- Azure.Provisioning.CosmosDB (>= 1.0.0)
- Azure.Provisioning.KeyVault (>= 1.1.0)
- Azure.Provisioning.OperationalInsights (>= 1.1.0)
- Azure.Provisioning.Search (>= 1.0.0)
- Azure.Provisioning.Storage (>= 1.1.2)
- Azure.ResourceManager.Resources (>= 1.11.2)
- Azure.Security.KeyVault.Secrets (>= 4.8.0)
- Azure.Storage.Blobs (>= 12.26.0)
- Azure.Storage.Files.DataLake (>= 12.23.0)
- Azure.Storage.Queues (>= 12.24.0)
- Google.Protobuf (>= 3.33.5)
- Grpc.AspNetCore (>= 2.76.0)
- Grpc.Net.ClientFactory (>= 2.76.0)
- Grpc.Tools (>= 2.78.0)
- Humanizer.Core (>= 2.14.1)
- JsonPatch.Net (>= 3.3.0)
- KubernetesClient (>= 18.0.13)
- Microsoft.AI.Foundry.Local (>= 0.3.0)
- Microsoft.Azure.Cosmos (>= 3.54.0)
- Microsoft.Bcl.Memory (>= 10.0.7)
- Microsoft.Extensions.Configuration.Abstractions (>= 10.0.7)
- Microsoft.Extensions.Configuration.Binder (>= 10.0.7)
- Microsoft.Extensions.DependencyInjection.Abstractions (>= 10.0.7)
- Microsoft.Extensions.Diagnostics.HealthChecks (>= 8.0.26)
- Microsoft.Extensions.FileSystemGlobbing (>= 10.0.7)
- Microsoft.Extensions.Hosting (>= 10.0.7)
- Microsoft.Extensions.Hosting.Abstractions (>= 10.0.7)
- Microsoft.Extensions.Http (>= 10.0.7)
- Microsoft.Extensions.Logging (>= 10.0.7)
- Microsoft.Extensions.Logging.Abstractions (>= 10.0.7)
- Microsoft.Extensions.Options (>= 10.0.7)
- Microsoft.Extensions.Primitives (>= 10.0.7)
- ModelContextProtocol (>= 1.0.0)
- NCrontab.Signed (>= 3.4.0)
- Newtonsoft.Json (>= 13.0.4)
- OpenAI (>= 2.10.0)
- Polly.Core (>= 8.6.5)
- Semver (>= 3.0.0)
- StreamJsonRpc (>= 2.22.23)
- System.IO.Hashing (>= 10.0.3)
- System.Text.Json (>= 10.0.7)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last Updated |
|---|---|---|
| 13.3.5-preview.1.26270.6 | 139 | 5/21/2026 |
| 13.3.4-preview.1.26268.8 | 191 | 5/19/2026 |
| 13.3.3-preview.1.26264.13 | 356 | 5/15/2026 |
| 13.3.2-preview.1.26263.11 | 175 | 5/14/2026 |
| 13.3.1-preview.1.26261.7 | 327 | 5/12/2026 |
| 13.3.0-preview.1.26256.5 | 379 | 5/7/2026 |
| 13.2.4-preview.1.26224.4 | 1,456 | 4/24/2026 |
| 13.2.3-preview.1.26217.6 | 556 | 4/21/2026 |
| 13.2.2-preview.1.26207.2 | 2,927 | 4/8/2026 |
| 13.2.1-preview.1.26180.6 | 342 | 3/31/2026 |
| 13.2.0-preview.1.26170.3 | 2,826 | 3/23/2026 |