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Roger Barreto dc4bafbc1e .NET: Add Hosted-AgentSkills sample with Foundry Skills integration (#6013)
* .NET: Add Hosted-AgentSkills sample for Foundry Skills integration

Add a new hosted agent sample that demonstrates how to load behavioral
guidelines from Foundry Skills at startup using AgentSkillsProvider and
the progressive disclosure pattern (advertise -> load on demand).

The sample:
- Downloads SKILL.md files from Foundry via ProjectAgentSkills SDK
- Extracts ZIP archives with zip-slip protection
- Wires skills into AgentSkillsProvider as an AIContextProvider
- Hosts the agent via the Responses protocol

Ships two Contoso Outdoors skills matching the Python sample (PR #5822):
- support-style: tone, formatting, signature guidelines
- escalation-policy: when and how to escalate tickets

Includes convenience provisioning gated behind PROVISION_SAMPLE_SKILLS
env var, clearly documented as NOT a production pattern.

Closes #5776

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* .NET: Add unit tests and integration test for Hosted-AgentSkills

Unit tests (14 tests, all passing):
- ZIP extraction with zip-slip guard (valid archive, traversal attack,
  sibling-prefix attack, directory entries)
- Skill name validation (rejects dots, separators, traversal patterns)
- AgentSkillsProvider with downloaded skills (advertises both skills,
  load_skill returns canary tokens, unknown skill returns error)

Container integration test:
- New 'agent-skills' scenario in the test container that creates
  Contoso Outdoors skills on disk and wires AgentSkillsProvider
- AgentSkillsHostedAgentFixture + 4 integration tests verifying:
  - Routine questions load support-style skill (STYLE-CANARY-3318)
  - Escalation triggers load escalation-policy (ESC-CANARY-7742)
  - Skills are advertised in system prompt
  - load_skill tool is invoked via FunctionCallContent

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* .NET: Add smoke test, bootstrap, and docs for agent-skills integration

- Add scripts/smoke.ps1 for local Docker smoke testing: builds the
  contributor image, runs the container, verifies both skills are loaded
  via canary tokens (STYLE-CANARY-3318, ESC-CANARY-7742)
- Add 'agent-skills' to the bootstrap script scenario list
- Add agent-skills row to the integration test README scenarios table
- Exclude HostedAgentSkillsPatternTests from net472 (uses net8.0+ APIs)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* .NET: Update commented-out package versions to latest across all hosted samples

Update the end-user PackageReference versions (in the commented-out
sections) from 1.0.0 to the current latest NuGet versions:

- Microsoft.Agents.AI: 1.6.1
- Microsoft.Agents.AI.Foundry: 1.6.1-preview.260514.1
- Microsoft.Agents.AI.Foundry.Hosting: 1.6.1-preview.260514.1
- Microsoft.Agents.AI.Hosting: 1.6.1-preview.260514.1
- Microsoft.Agents.AI.OpenAI: 1.6.1
- Microsoft.Agents.AI.Workflows: 1.6.1

Also adds explicit versions to Hosted-Workflow-Handoff which had bare
PackageReference entries without Version attributes.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* .NET: Fix broken markdown links in Hosted-AgentSkills README

Remove references to non-existent ../../README.md. Replace with
inline instructions matching other hosted samples that don't have
a parent README.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* .NET: Use OS-appropriate string comparison in zip-slip guard

Use Ordinal on Unix (case-sensitive FS) and OrdinalIgnoreCase on
Windows to prevent case-based path bypass on Linux containers.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
dc4bafbc1e ยท 2026-05-25 09:32:04 +00:00
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Hosted-Observability

A hosted Agent Framework agent that demonstrates how the Foundry hosting pipeline emits OpenTelemetry traces, metrics and logs with no extra wiring.

The agent has two small tools, GetCurrentLocation and GetWeather, so an end-to-end run produces a span tree covering agent invocation, the underlying chat call, and tool execution.

How it works

Instrumentation is on by default

Unlike the Python SDK, the .NET hosting library is instrumented by default. AddFoundryResponses(agent) automatically wraps the agent with OpenTelemetryAgent (see Microsoft.Agents.AI.Foundry.Hosting.ServiceCollectionExtensions.ApplyOpenTelemetry) and the OTLP exporter pipeline is registered by Azure.AI.AgentServer.Core's AddAgentHostTelemetry(). There is no ENABLE_INSTRUMENTATION flag to set.

Sensitive content

Prompt, completion and tool argument content are omitted from spans by default. Set the OpenTelemetry standard environment variable to capture them:

OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true

This is the .NET equivalent of the Python sample's ENABLE_SENSITIVE_DATA. It is read by OpenTelemetryAgent.EnableSensitiveData.

Where the telemetry goes

Foundry injects APPLICATIONINSIGHTS_CONNECTION_STRING when the agent runs in the hosted environment, so traces, metrics and logs flow to Application Insights with no code change. To send telemetry from a local run, set the connection string yourself in .env.

Prerequisites

  • .NET 10 SDK
  • An Azure AI Foundry project with a deployed model (e.g., gpt-4o)
  • Azure CLI logged in (az login)

Configuration

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
OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true

Note: .env is gitignored. The .env.example template is checked in as a reference.

Running directly (contributors)

cd dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability
AGENT_NAME=hosted-observability dotnet run

The agent starts on http://localhost:8088.

Test it

azd ai agent invoke --local "What is the current weather where I am?"

Or with curl:

curl -X POST http://localhost:8088/responses \
  -H "Content-Type: application/json" \
  -d '{"input": "What is the current weather where I am?", "model": "hosted-observability"}'

Expected span tree

A single request produces approximately the following spans:

Span Source
invoke_agent Outer span emitted by the Azure AI AgentServer hosting SDK
agent_invoke <name> Emitted by OpenTelemetryAgent for each agent invocation
chat <model> Emitted by the underlying IChatClient for each model call
execute_tool <tool> Emitted for each invocation of GetCurrentLocation / GetWeather

See the OpenTelemetry GenAI semantic conventions for the attributes captured on each span.

Running with Docker

This project uses ProjectReference to the local Agent Framework source, so use Dockerfile.contributor with a pre-published output:

dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out
docker build -f Dockerfile.contributor -t hosted-observability .

export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
docker run --rm -p 8088:8088 \
  -e AGENT_NAME=hosted-observability \
  -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN \
  --env-file .env \
  hosted-observability

Deploying to Foundry and viewing traces

Once deployed, telemetry flows to the Application Insights instance attached to your Foundry project. In the Foundry UI, the Traces tab next to Playground lists conversations and lets you drill into the span tree for any request.

NuGet package users

If consuming the Agent Framework as a NuGet package, use the standard Dockerfile instead of Dockerfile.contributor. See the commented section in HostedObservability.csproj for the PackageReference alternative.