.NET: Add hosted agent observability sample (#5660)

* .Net: Add hosted agent observability sample

Mirrors the Python sample added in #5608 for Foundry hosted agents. The
.NET hosting library already wires OpenTelemetry automatically via
Microsoft.Agents.AI.Foundry.Hosting (ApplyOpenTelemetry) plus
Azure.AI.AgentServer.Core's AddAgentHostTelemetry, so no framework
changes are needed. The sample is documentation plus a runnable artifact
that produces an interesting span tree (invoke_agent / agent_invoke /
chat / execute_tool).

Adds Hosted-Observability under FoundryHostedAgents/responses with two
small tools (GetCurrentLocation, GetWeather), agent.yaml /
agent.manifest.yaml declaring OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT
(the .NET equivalent of Python's ENABLE_SENSITIVE_DATA), Dockerfile +
Dockerfile.contributor, .env.example and README explaining the .NET vs
Python defaults. Project added to agent-framework-dotnet.slnx.

* Address PR feedback: use Random.Shared and add .dockerignore
This commit is contained in:
Roger Barreto
2026-05-06 09:33:16 +01:00
committed by GitHub
Unverified
parent f25e81701d
commit 705473c276
10 changed files with 355 additions and 0 deletions
+3
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@@ -319,6 +319,9 @@
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/HostedMcpTools.csproj" />
</Folder>
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability/HostedObservability.csproj" />
</Folder>
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/HostedToolbox.csproj" />
</Folder>
@@ -0,0 +1,7 @@
.env
bin/
obj/
out/
.vs/
.vscode/
*.user
@@ -0,0 +1,12 @@
AZURE_AI_PROJECT_ENDPOINT=<your-azure-ai-project-endpoint>
ASPNETCORE_URLS=http://+:8088
ASPNETCORE_ENVIRONMENT=Development
AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4o
AZURE_BEARER_TOKEN=DefaultAzureCredential
# Capture prompt / completion / tool argument content on GenAI spans.
OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true
# Uncomment and set to send local-run telemetry to Application Insights.
# When the agent runs inside Foundry this value is injected automatically.
#APPLICATIONINSIGHTS_CONNECTION_STRING=<your-app-insights-connection-string>
@@ -0,0 +1,17 @@
# Use the official .NET 10.0 ASP.NET runtime as a parent image
FROM mcr.microsoft.com/dotnet/aspnet:10.0 AS base
WORKDIR /app
FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build
WORKDIR /src
COPY . .
RUN dotnet restore
RUN dotnet publish -c Release -o /app/publish
# Final stage
FROM base AS final
WORKDIR /app
COPY --from=build /app/publish .
EXPOSE 8088
ENV ASPNETCORE_URLS=http://+:8088
ENTRYPOINT ["dotnet", "HostedObservability.dll"]
@@ -0,0 +1,19 @@
# Dockerfile for contributors building from the agent-framework repository source.
#
# This project uses ProjectReference to the local Microsoft.Agents.AI.Foundry source,
# which means a standard multi-stage Docker build cannot resolve dependencies outside
# this folder. Instead, pre-publish the app targeting the container runtime and copy
# the output into the container:
#
# dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out
# docker build -f Dockerfile.contributor -t hosted-observability .
# docker run --rm -p 8088:8088 -e AGENT_NAME=hosted-observability -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN --env-file .env hosted-observability
#
# For end-users consuming the NuGet package (not ProjectReference), use the standard
# Dockerfile which performs a full dotnet restore + publish inside the container.
FROM mcr.microsoft.com/dotnet/aspnet:10.0-alpine AS final
WORKDIR /app
COPY out/ .
EXPOSE 8088
ENV ASPNETCORE_URLS=http://+:8088
ENTRYPOINT ["dotnet", "HostedObservability.dll"]
@@ -0,0 +1,32 @@
<Project Sdk="Microsoft.NET.Sdk.Web">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<CentralPackageTransitivePinningEnabled>false</CentralPackageTransitivePinningEnabled>
<RootNamespace>HostedObservability</RootNamespace>
<AssemblyName>HostedObservability</AssemblyName>
<NoWarn>$(NoWarn);</NoWarn>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.Projects" VersionOverride="2.1.0-beta.1" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="DotNetEnv" />
</ItemGroup>
<!-- For contributors: uses ProjectReference to build against local source -->
<ItemGroup>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
</ItemGroup>
<!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
<PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
</ItemGroup>
-->
</Project>
@@ -0,0 +1,108 @@
// Copyright (c) Microsoft. All rights reserved.
// Hosted Observability Agent - demonstrates that the Foundry hosting pipeline
// emits OpenTelemetry traces, metrics and logs with no extra wiring required.
// Two small tools are included so a request produces a span tree covering
// agent invocation, the chat call, and tool execution.
using System.ComponentModel;
using Azure.AI.Projects;
using Azure.Core;
using Azure.Identity;
using DotNetEnv;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Foundry.Hosting;
using Microsoft.Extensions.AI;
// Load .env file if present (for local development)
Env.TraversePath().Load();
string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o";
// Use a chained credential: try a temporary dev token first (for local Docker debugging),
// then fall back to DefaultAzureCredential (for local dev via dotnet run / managed identity in production).
TokenCredential credential = new ChainedTokenCredential(
new DevTemporaryTokenCredential(),
new DefaultAzureCredential());
// ── Tools ────────────────────────────────────────────────────────────────────
string[] locations = ["New York", "London", "Paris", "Tokyo"];
string[] conditions = ["sunny", "cloudy", "rainy", "stormy"];
[Description("Get the current location of the user.")]
string GetCurrentLocation() => locations[Random.Shared.Next(locations.Length)];
[Description("Get the weather for a given location.")]
string GetWeather(
[Description("The location to get the weather for.")] string location)
=> $"The weather in {location} is {conditions[Random.Shared.Next(conditions.Length)]} with a high of {Random.Shared.Next(10, 31)}°C.";
// ── Create and host the agent ────────────────────────────────────────────────
//
// AddFoundryResponses automatically wraps `agent` with OpenTelemetryAgent
// (see Microsoft.Agents.AI.Foundry.Hosting.ServiceCollectionExtensions.ApplyOpenTelemetry)
// and the OTLP exporter is registered by Azure.AI.AgentServer.Core's
// AddAgentHostTelemetry(). No additional observability wiring is required.
AIAgent agent = new AIProjectClient(new Uri(endpoint), credential)
.AsAIAgent(
model: deploymentName,
instructions: "You are a friendly assistant. Keep your answers brief.",
name: Environment.GetEnvironmentVariable("AGENT_NAME") ?? "hosted-observability",
description: "A hosted agent that demonstrates Foundry observability.",
tools: [
AIFunctionFactory.Create(GetCurrentLocation),
AIFunctionFactory.Create(GetWeather),
]);
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddFoundryResponses(agent);
var app = builder.Build();
app.MapFoundryResponses();
if (app.Environment.IsDevelopment())
{
app.MapFoundryResponses("openai/v1");
}
app.Run();
/// <summary>
/// A <see cref="TokenCredential"/> for local Docker debugging only.
/// Reads a pre-fetched bearer token from the <c>AZURE_BEARER_TOKEN</c> environment variable
/// once at startup. This should NOT be used in production.
///
/// Generate a token on your host and pass it to the container:
/// export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
/// docker run -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN ...
/// </summary>
internal sealed class DevTemporaryTokenCredential : TokenCredential
{
private const string EnvironmentVariable = "AZURE_BEARER_TOKEN";
private readonly string? _token;
public DevTemporaryTokenCredential()
{
this._token = Environment.GetEnvironmentVariable(EnvironmentVariable);
}
public override AccessToken GetToken(TokenRequestContext requestContext, CancellationToken cancellationToken)
=> this.GetAccessToken();
public override ValueTask<AccessToken> GetTokenAsync(TokenRequestContext requestContext, CancellationToken cancellationToken)
=> new(this.GetAccessToken());
private AccessToken GetAccessToken()
{
if (string.IsNullOrEmpty(this._token) || this._token == "DefaultAzureCredential")
{
throw new CredentialUnavailableException($"{EnvironmentVariable} environment variable is not set.");
}
return new AccessToken(this._token, DateTimeOffset.UtcNow.AddHours(1));
}
}
@@ -0,0 +1,109 @@
# Hosted-Observability
A hosted [Agent Framework](https://github.com/microsoft/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:
```env
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](https://dotnet.microsoft.com/download/dotnet/10.0)
- An Azure AI Foundry project with a deployed model (e.g., `gpt-4o`)
- Azure CLI logged in (`az login`)
## Configuration
```bash
cp .env.example .env
```
Edit `.env` and set your Azure AI Foundry project endpoint:
```env
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)
```bash
cd dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability
AGENT_NAME=hosted-observability dotnet run
```
The agent starts on `http://localhost:8088`.
### Test it
```bash
azd ai agent invoke --local "What is the current weather where I am?"
```
Or with curl:
```bash
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](https://opentelemetry.io/docs/specs/semconv/gen-ai/) 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:
```bash
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.
@@ -0,0 +1,34 @@
# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/AgentManifest.yaml
name: hosted-observability
displayName: "Hosted Observability Agent"
description: >
A hosted Agent Framework agent that demonstrates how the Foundry hosting
pipeline emits OpenTelemetry traces, metrics and logs to Application Insights
with no extra wiring required.
metadata:
tags:
- AI Agent Hosting
- Azure AI AgentServer
- Responses Protocol
- Observability
- OpenTelemetry
- Agent Framework
template:
name: hosted-observability
kind: hosted
protocols:
- protocol: responses
version: 1.0.0
resources:
cpu: "0.25"
memory: 0.5Gi
environment_variables:
# Capture prompt / completion / tool argument content on GenAI spans.
- name: OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT
value: "true"
parameters:
properties: []
resources: []
@@ -0,0 +1,14 @@
# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/ContainerAgent.yaml
kind: hosted
name: hosted-observability
protocols:
- protocol: responses
version: 1.0.0
resources:
cpu: "0.25"
memory: 0.5Gi
environment_variables:
# Capture prompt / completion / tool argument content on GenAI spans.
# See https://opentelemetry.io/docs/specs/semconv/gen-ai/ for the standard env var.
- name: OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT
value: "true"