Extract hosted agent functionality from Microsoft.Agents.AI.Foundry into a new Microsoft.Agents.AI.Foundry.Hosting preview package. This resolves NU5104 build errors caused by the stable Foundry package depending on prerelease Azure SDK packages (Azure.AI.AgentServer.Responses, Azure.AI.Projects beta). Changes: - Create Microsoft.Agents.AI.Foundry.Hosting with VersionSuffix=preview, targeting .NET Core only (net8.0/9.0/10.0) - Move all Hosting/ source files to the new project - Move ToolboxRecord/ToolboxVersion overloads to FoundryAIToolExtensions - Revert Azure.AI.Projects to 2.0.0 in Directory.Packages.props; Hosting uses VersionOverride for 2.1.0-beta.1 - Clean V1 Foundry csproj: remove beta deps, ASP.NET Core ref, hosting conditionals - Update 8 hosted agent sample projects to reference Foundry.Hosting - Split unit tests: ToolboxRecord/ToolboxVersion tests moved to Hosting/ - Add Foundry.Hosting to solution file Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Hosted-Workflow-Simple
A hosted agent that demonstrates multi-agent workflow orchestration. Three translation agents are composed into a sequential pipeline: English → French → Spanish → English, showing how agents can be chained as workflow executors using WorkflowBuilder.
Prerequisites
- .NET 10 SDK
- An Azure AI Foundry project with a deployed model (e.g.,
gpt-4o) - Azure CLI logged in (
az login)
Configuration
Copy the template and fill in your project endpoint:
cp .env.example .env
Edit .env and set your Azure AI Foundry project endpoint:
AZURE_AI_PROJECT_ENDPOINT=https://<your-account>.services.ai.azure.com/api/projects/<your-project>
ASPNETCORE_URLS=http://+:8088
ASPNETCORE_ENVIRONMENT=Development
AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4o
Note:
.envis gitignored. The.env.exampletemplate is checked in as a reference.
Running directly (contributors)
cd dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Simple
AGENT_NAME=hosted-workflow-simple dotnet run
The agent will start on http://localhost:8088.
Test it
Using the Azure Developer CLI:
azd ai agent invoke --local "The quick brown fox jumps over the lazy dog"
Or with curl:
curl -X POST http://localhost:8088/responses \
-H "Content-Type: application/json" \
-d '{"input": "The quick brown fox jumps over the lazy dog", "model": "hosted-workflow-simple"}'
The text will be translated through the chain: English → French → Spanish → English.
Running with Docker
1. Publish for the container runtime
dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out
2. Build the Docker image
docker build -f Dockerfile.contributor -t hosted-workflow-simple .
3. Run the container
export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
docker run --rm -p 8088:8088 \
-e AGENT_NAME=hosted-workflow-simple \
-e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN \
--env-file .env \
hosted-workflow-simple
4. Test it
azd ai agent invoke --local "Hello, how are you today?"
How the workflow works
Input text
│
▼
┌─────────────┐ ┌──────────────┐ ┌──────────────┐
│ French Agent │ → │ Spanish Agent │ → │ English Agent │
│ (translate) │ │ (translate) │ │ (translate) │
└─────────────┘ └──────────────┘ └──────────────┘
│
▼
Final output
(back in English)
Each agent in the chain receives the output of the previous agent. The final result demonstrates how meaning is preserved (or subtly shifted) through multiple translation hops.
NuGet package users
Use the standard Dockerfile instead of Dockerfile.contributor. See the commented section in HostedWorkflowSimple.csproj for the PackageReference alternative.