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agent-framework/dotnet/samples/02-agents/AgentSkills/Agent_Step02_CodeDefinedSkills/Program.cs
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Ben Thomas c79f886dc3 .NET: Align Foundry sample environment variables and credentials. (#6422)
* dotnet: refresh Foundry sample guidance

Carry forward the still-relevant sample guidance and Foundry-specific documentation fixes from the old stacked sample migration work, adapted to the current repo layout and policy.

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

* dotnet: rename Foundry sample env vars

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

* dotnet: remove persistent provider sample

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

* dotnet: drop SAMPLE_GUIDELINES.md from this PR

Defer the guidelines doc and its cross-link to a follow-on PR to avoid broken-link failures in CI.

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

* dotnet: add DefaultAzureCredential warning to remaining samples

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

* dotnet: address PR review feedback

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-11 17:26:00 +00:00

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// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to define Agent Skills entirely in code using AgentInlineSkill.
// No SKILL.md files are needed — skills, resources, and scripts are all defined programmatically.
//
// Three approaches are shown using a unit-converter skill:
// 1. Static resources — inline content provided via AddResource
// 2. Dynamic resources — computed at runtime via a factory delegate
// 3. Code scripts — executable delegates the agent can invoke directly
using System.Text.Json;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI.Responses;
// --- Configuration ---
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
// --- Build the code-defined skill ---
var unitConverterSkill = new AgentInlineSkill(
name: "unit-converter",
description: "Convert between common units using a multiplication factor. Use when asked to convert miles, kilometers, pounds, or kilograms.",
instructions: """
Use this skill when the user asks to convert between units.
1. Review the conversion-table resource to find the factor for the requested conversion.
2. Check the conversion-policy resource for rounding and formatting rules.
3. Use the convert script, passing the value and factor from the table.
""")
// 1. Static Resource: conversion tables
.AddResource(
"conversion-table",
"""
# Conversion Tables
Formula: **result = value × factor**
| From | To | Factor |
|-------------|-------------|----------|
| miles | kilometers | 1.60934 |
| kilometers | miles | 0.621371 |
| pounds | kilograms | 0.453592 |
| kilograms | pounds | 2.20462 |
""")
// 2. Dynamic Resource: conversion policy (computed at runtime)
.AddResource("conversion-policy", () =>
{
const int Precision = 4;
return $"""
# Conversion Policy
**Decimal places:** {Precision}
**Format:** Always show both the original and converted values with units
**Generated at:** {DateTime.UtcNow:O}
""";
})
// 3. Code Script: convert
.AddScript("convert", (double value, double factor) =>
{
double result = Math.Round(value * factor, 4);
return JsonSerializer.Serialize(new { value, factor, result });
});
// --- Skills Provider ---
var skillsProvider = new AgentSkillsProvider(unitConverterSkill);
// --- Agent Setup ---
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
.GetResponsesClient()
.AsAIAgent(new ChatClientAgentOptions
{
Name = "UnitConverterAgent",
ChatOptions = new()
{
Instructions = "You are a helpful assistant that can convert units.",
},
AIContextProviders = [skillsProvider],
},
model: deploymentName);
// --- Example: Unit conversion ---
Console.WriteLine("Converting units with code-defined skills");
Console.WriteLine(new string('-', 60));
AgentResponse response = await agent.RunAsync(
"How many kilometers is a marathon (26.2 miles)? And how many pounds is 75 kilograms?");
Console.WriteLine($"Agent: {response.Text}");