.NET: Add a verify-samples tool and skill (#5005)

* Add a verify-samples tool and skill

* Address PR comments

* Move verify-samples to eng folder and improve definitions
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westey
2026-04-01 11:34:41 +01:00
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---
name: verify-samples-tool
description: How to use the verify-samples tool to run, verify, and manage sample definitions in the Agent Framework repository. Use this when adding, updating, or running sample verification.
---
# verify-samples Tool
The `verify-samples` project (`dotnet/eng/verify-samples/`) is an automated tool that runs sample projects and verifies their output using deterministic checks and AI-powered verification.
## Running verify-samples
```bash
cd dotnet
# Run all samples across all categories
dotnet run --project eng/verify-samples -- --log results.log --csv results.csv
# Run a specific category
dotnet run --project eng/verify-samples -- --category 02-agents --log results.log
# Run specific samples by name
dotnet run --project eng/verify-samples -- Agent_Step02_StructuredOutput Agent_Step09_AsFunctionTool
# Control parallelism (default 8)
dotnet run --project eng/verify-samples -- --parallel 8 --log results.log
# Combine options
dotnet run --project eng/verify-samples -- --category 03-workflows --parallel 4 --log results.log --csv results.csv
```
### Required Environment Variables
The tool itself needs:
- `AZURE_OPENAI_ENDPOINT` — for the AI verification agent
- `AZURE_OPENAI_DEPLOYMENT_NAME` (optional, defaults to `gpt-5-mini`)
Individual samples require their own env vars (e.g., `AZURE_AI_PROJECT_ENDPOINT`). The tool automatically checks and skips samples with missing env vars.
### Output Files
- `--log results.log` — detailed per-sample log with stdout/stderr, AI reasoning, and a summary
- `--csv results.csv` — tabular summary with Sample, ProjectPath, Status, FailedChecks, and Failures columns
## Sample Categories
Definitions are in the `dotnet/eng/verify-samples/` directory:
| Category | Config File | Registered Key |
|----------|-------------|----------------|
| 01-get-started | `GetStartedSamples.cs` | `01-get-started` |
| 02-agents | `AgentsSamples.cs` | `02-agents` |
| 03-workflows | `WorkflowSamples.cs` | `03-workflows` |
Categories are registered in `VerifyOptions.cs` in the `s_sampleSets` dictionary.
## SampleDefinition Properties
Each sample is defined as a `SampleDefinition` in the appropriate config file. Key properties:
```csharp
new SampleDefinition
{
// Required: Display name for the sample
Name = "Agent_Step02_StructuredOutput",
// Required: Relative path from dotnet/ to the sample project directory
ProjectPath = "samples/02-agents/Agents/Agent_Step02_StructuredOutput",
// Environment variables the sample requires (throws if missing)
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
// Environment variables with defaults that would prompt on console if unset
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
// Skip this sample with a reason (for structural issues only)
SkipReason = null, // or "Requires external service X."
// Deterministic checks: substrings that must appear in stdout
MustContain = ["=== Section Header ==="],
// Substrings that must NOT appear in stdout
MustNotContain = [],
// If true, only MustContain checks are used (no AI verification)
IsDeterministic = false,
// AI verification: natural-language descriptions of expected output
// Each entry describes one aspect to verify independently
ExpectedOutputDescription =
[
"The output should show structured person information with Name, Age, and Occupation fields.",
"The output should not contain error messages or stack traces.",
],
// Stdin inputs to feed to the sample (for interactive samples)
Inputs = ["Y", "Y", "Y"],
// Delay between stdin inputs in ms (default 2000, increase for LLM calls between inputs)
InputDelayMs = 3000,
}
```
## How to Add a New Sample Definition
1. **Check the sample's Program.cs** to understand:
- What environment variables it reads (look for `GetEnvironmentVariable`)
- Whether it needs stdin input (look for `Console.ReadLine`, `Application.GetInput`)
- Whether it has an external loop (look for `EXIT` patterns in YAML workflows)
- What output it produces (section headers, markers, expected behavior)
- Whether it exits on its own or runs as a server
2. **Choose the right verification strategy:**
- **Deterministic** (`IsDeterministic = true`): Use `MustContain` for samples with fixed output strings. No AI verification.
- **AI-verified** (default): Use `ExpectedOutputDescription` with semantic descriptions. Write expectations that are flexible enough for non-deterministic LLM output.
- **Both**: Use `MustContain` for fixed markers AND `ExpectedOutputDescription` for LLM-generated content.
3. **Set `SkipReason` only for structural issues:**
- Web servers that don't exit
- Multi-process client/server architectures
- Samples requiring external infrastructure (MCP servers you can't reach, Docker, etc.)
- Do NOT skip for missing env vars — the tool checks those dynamically.
4. **For interactive samples, provide `Inputs`:**
- Samples using `Application.GetInput(args)` need one initial input
- Samples with `Console.ReadLine()` approval loops need `"Y"` inputs
- YAML workflows with `externalLoop` need `"EXIT"` as the last input
- Set `InputDelayMs` to 3000-8000ms for samples with LLM calls between inputs
5. **Add the definition** to the appropriate config file (e.g., `AgentsSamples.cs`) in the `All` list.
6. **Register new categories** (if needed) in `VerifyOptions.cs` `s_sampleSets` dictionary.
### Writing Good ExpectedOutputDescription
- Write descriptions that are **semantically flexible** — LLM output varies between runs
- Each array entry should describe **one independent aspect** to verify
- Always include `"The output should not contain error messages or stack traces."` as the last entry
- Avoid exact wording expectations — use "should mention", "should contain information about", "should show"
- Bad: `"The output should say 'The weather in Amsterdam is cloudy with a high of 15°C'"`
- Good: `"The output should contain weather information about Amsterdam mentioning cloudy weather with a high of 15°C."`
### Example: Simple LLM Sample
```csharp
new SampleDefinition
{
Name = "Agent_With_AzureOpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
[
"The output should contain a joke about a pirate.",
"The output should not contain error messages or stack traces.",
],
},
```
### Example: Deterministic Sample
```csharp
new SampleDefinition
{
Name = "Workflow_Declarative_GenerateCode",
ProjectPath = "samples/03-workflows/Declarative/GenerateCode",
IsDeterministic = true,
MustContain = ["WORKFLOW: Parsing", "WORKFLOW: Defined"],
ExpectedOutputDescription = ["The output should show a YAML workflow being parsed and C# code being generated from it."],
},
```
### Example: Interactive Sample with Approval Loop
```csharp
new SampleDefinition
{
Name = "FoundryAgent_Hosted_MCP",
ProjectPath = "samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["Y", "Y", "Y", "Y", "Y"],
InputDelayMs = 5000,
ExpectedOutputDescription = ["The output should show an agent using the Microsoft Learn MCP tool with approval prompts."],
},
```
### Example: Declarative Workflow with External Loop
```csharp
new SampleDefinition
{
Name = "Workflow_Declarative_FunctionTools",
ProjectPath = "samples/03-workflows/Declarative/FunctionTools",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["What are today's specials?", "EXIT"],
InputDelayMs = 8000,
ExpectedOutputDescription = ["The output should show a workflow calling function tools to answer a question about restaurant specials."],
},
```
### Example: Skipped Sample
```csharp
new SampleDefinition
{
Name = "Agent_MCP_Server",
ProjectPath = "samples/02-agents/ModelContextProtocol/Agent_MCP_Server",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
SkipReason = "Runs as an MCP stdio server that does not exit on its own.",
},
```
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<Folder Name="/Samples/">
<File Path="samples/AGENTS.md" />
<File Path="samples/README.md" />
<Project Path="eng/verify-samples/verify-samples.csproj" />
</Folder>
<Folder Name="/Samples/01-get-started/">
<Project Path="samples/01-get-started/01_hello_agent/01_hello_agent.csproj" />
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// Copyright (c) Microsoft. All rights reserved.
namespace VerifySamples;
/// <summary>
/// Thread-safe console output with sample-name prefixes and colored status.
/// </summary>
internal sealed class ConsoleReporter
{
private readonly object _lock = new();
/// <summary>
/// Writes a complete prefixed line atomically to the console.
/// </summary>
public void WriteLineWithPrefix(string sampleName, string message, ConsoleColor? color = null)
{
lock (this._lock)
{
Console.ForegroundColor = ConsoleColor.Cyan;
Console.Write($"[{sampleName}] ");
if (color.HasValue)
{
Console.ForegroundColor = color.Value;
}
else
{
Console.ResetColor();
}
Console.WriteLine(message);
Console.ResetColor();
}
}
/// <summary>
/// Prints the final summary table and elapsed time to the console.
/// </summary>
public void PrintSummary(
IReadOnlyList<VerificationResult> orderedResults,
IReadOnlyList<(string Name, string Reason)> skipped,
TimeSpan elapsed)
{
var passCount = orderedResults.Count(r => r.Passed);
var failCount = orderedResults.Count(r => !r.Passed);
Console.WriteLine();
Console.WriteLine(new string('─', 60));
Console.ForegroundColor = ConsoleColor.White;
Console.WriteLine("SUMMARY");
Console.ResetColor();
foreach (var result in orderedResults)
{
Console.ForegroundColor = result.Passed ? ConsoleColor.Green : ConsoleColor.Red;
Console.Write(result.Passed ? " ✓ " : " ✗ ");
Console.ResetColor();
Console.WriteLine($"{result.SampleName}: {result.Summary}");
}
foreach (var (name, reason) in skipped)
{
Console.ForegroundColor = ConsoleColor.Yellow;
Console.Write(" ○ ");
Console.ResetColor();
Console.WriteLine($"{name}: Skipped — {reason}");
}
Console.WriteLine();
Console.Write("Results: ");
Console.ForegroundColor = ConsoleColor.Green;
Console.Write($"{passCount} passed");
Console.ResetColor();
if (failCount > 0)
{
Console.Write(", ");
Console.ForegroundColor = ConsoleColor.Red;
Console.Write($"{failCount} failed");
Console.ResetColor();
}
if (skipped.Count > 0)
{
Console.Write(", ");
Console.ForegroundColor = ConsoleColor.Yellow;
Console.Write($"{skipped.Count} skipped");
Console.ResetColor();
}
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.DarkGray;
Console.WriteLine($"Elapsed: {elapsed.Hours:D2}:{elapsed.Minutes:D2}:{elapsed.Seconds:D2}");
Console.ResetColor();
}
}
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// Copyright (c) Microsoft. All rights reserved.
using System.Text;
namespace VerifySamples;
/// <summary>
/// Writes a CSV summary of sample verification results.
/// </summary>
internal static class CsvResultWriter
{
/// <summary>
/// Writes the results to a CSV file at the specified path.
/// </summary>
public static async Task WriteAsync(
string path,
IReadOnlyList<VerificationResult> orderedResults,
IReadOnlyList<(string Name, string Reason)> skipped,
IReadOnlyList<SampleDefinition> samples)
{
var pathLookup = samples.ToDictionary(s => s.Name, s => s.ProjectPath);
var sb = new StringBuilder();
sb.AppendLine("Sample,ProjectPath,Status,FailedChecks,Failures");
foreach (var result in orderedResults)
{
var status = result.Passed ? "PASSED" : "FAILED";
var failedChecks = result.Failures.Count;
var failures = string.Join("; ", result.Failures);
pathLookup.TryGetValue(result.SampleName, out var projectPath);
sb.AppendLine($"{CsvEscape(result.SampleName)},{CsvEscape(projectPath ?? "")},{status},{failedChecks},{CsvEscape(failures)}");
}
foreach (var (name, reason) in skipped)
{
pathLookup.TryGetValue(name, out var projectPath);
sb.AppendLine($"{CsvEscape(name)},{CsvEscape(projectPath ?? "")},SKIPPED,0,{CsvEscape(reason)}");
}
await File.WriteAllTextAsync(path, sb.ToString());
}
/// <summary>
/// Escapes a value for CSV: wraps in quotes if it contains commas, quotes, or newlines.
/// </summary>
private static string CsvEscape(string value)
{
if (value.Contains('"') || value.Contains(',') || value.Contains('\n') || value.Contains('\r'))
{
return $"\"{value.Replace("\"", "\"\"")}\"";
}
return value;
}
}
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// Copyright (c) Microsoft. All rights reserved.
namespace VerifySamples;
/// <summary>
/// Defines the expected behavior for each sample in 01-get-started.
/// </summary>
internal static class GetStartedSamples
{
public static IReadOnlyList<SampleDefinition> All { get; } =
[
new SampleDefinition
{
Name = "05_first_workflow",
ProjectPath = "samples/01-get-started/05_first_workflow",
RequiredEnvironmentVariables = [],
IsDeterministic = true,
MustContain =
[
"UppercaseExecutor: HELLO, WORLD!",
"ReverseTextExecutor: !DLROW ,OLLEH",
],
},
new SampleDefinition
{
Name = "01_hello_agent",
ProjectPath = "samples/01-get-started/01_hello_agent",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
[
"The output should contain a joke about a pirate.",
"There should be two separate joke responses — one from a non-streaming call and one from a streaming call.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "02_add_tools",
ProjectPath = "samples/01-get-started/02_add_tools",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
MustContain = [],
ExpectedOutputDescription =
[
"The output should contain information about the weather in Amsterdam.",
"The response should mention that it is cloudy with a high of 15°C (or equivalent), since this comes from a tool that returns a canned response.",
"There should be two responses — one from a non-streaming call and one from a streaming call.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "03_multi_turn",
ProjectPath = "samples/01-get-started/03_multi_turn",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
[
"The output should contain a joke about a pirate.",
"After the initial joke, there should be a modified version that includes emojis and is told in the voice of a pirate's parrot.",
"The pattern repeats: first a non-streaming pirate joke + parrot version, then a streaming pirate joke + parrot version.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "04_memory",
ProjectPath = "samples/01-get-started/04_memory",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
MustContain =
[
">> Use session with blank memory",
">> Use deserialized session with previously created memories",
">> Read memories using memory component",
"MEMORY - User Name:",
"MEMORY - User Age:",
">> Use new session with previously created memories",
],
ExpectedOutputDescription =
[
"In the 'Use session with blank memory' section, the agent should respond to the user's messages. It may ask for the user's name or age if not yet known.",
"In the 'Use deserialized session with previously created memories' section, the agent should correctly recall that the user's name is Ruaidhrí and age is 20.",
"The 'MEMORY - User Name:' line should show 'Ruaidhrí' (or a close transliteration).",
"The 'MEMORY - User Age:' line should show '20'.",
"In the 'Use new session with previously created memories' section, the agent should know the user's name and age from the transferred memory.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "06_host_your_agent",
ProjectPath = "samples/01-get-started/06_host_your_agent",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
SkipReason = "Requires Azure Functions Core Tools runtime and starts a web server.",
},
];
}
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// Copyright (c) Microsoft. All rights reserved.
using System.Text;
namespace VerifySamples;
/// <summary>
/// Incrementally writes a sequential (non-interleaved) log file, appending after each sample completes.
/// Thread-safe: multiple parallel tasks may call write methods concurrently.
/// </summary>
internal sealed class LogFileWriter : IDisposable
{
private readonly string _path;
private readonly SemaphoreSlim _writeLock = new(1, 1);
public LogFileWriter(string path)
{
this._path = path;
}
/// <inheritdoc />
public void Dispose()
{
this._writeLock.Dispose();
}
/// <summary>
/// Writes the log file header. Call once at the start of the run.
/// </summary>
public async Task WriteHeaderAsync()
{
var sb = new StringBuilder();
sb.AppendLine($"Sample Verification Log — {DateTime.UtcNow:yyyy-MM-dd HH:mm:ss} UTC");
sb.AppendLine(new string('═', 72));
sb.AppendLine();
await File.WriteAllTextAsync(this._path, sb.ToString());
}
/// <summary>
/// Appends a skipped-sample entry to the log file.
/// </summary>
public async Task WriteSkippedAsync(string name, string reason)
{
var sb = new StringBuilder();
sb.AppendLine($"── {name} ──");
sb.AppendLine($"Status: SKIPPED — {reason}");
sb.AppendLine();
await this.AppendAsync(sb.ToString());
}
/// <summary>
/// Appends a completed sample's full output section to the log file.
/// </summary>
public async Task WriteSampleResultAsync(VerificationResult result)
{
var sb = new StringBuilder();
sb.AppendLine(new string('─', 72));
sb.AppendLine($"── {result.SampleName} ──");
sb.AppendLine($"Status: {(result.Passed ? "PASSED" : "FAILED")}");
sb.AppendLine();
foreach (var line in result.LogLines)
{
sb.AppendLine(line);
}
sb.AppendLine();
if (!string.IsNullOrWhiteSpace(result.Stdout))
{
sb.AppendLine("--- stdout ---");
sb.AppendLine(result.Stdout.TrimEnd());
sb.AppendLine("--- end stdout ---");
sb.AppendLine();
}
if (!string.IsNullOrWhiteSpace(result.Stderr))
{
sb.AppendLine("--- stderr ---");
sb.AppendLine(result.Stderr.TrimEnd());
sb.AppendLine("--- end stderr ---");
sb.AppendLine();
}
if (result.Failures.Count > 0)
{
sb.AppendLine("Failures:");
foreach (var failure in result.Failures)
{
sb.AppendLine($" ✗ {failure}");
}
sb.AppendLine();
}
if (result.AIReasoning is not null)
{
sb.AppendLine("AI Reasoning:");
sb.AppendLine(result.AIReasoning);
sb.AppendLine();
}
await this.AppendAsync(sb.ToString());
}
/// <summary>
/// Appends the final summary section and elapsed time to the log file.
/// </summary>
public async Task WriteSummaryAsync(
IReadOnlyList<VerificationResult> orderedResults,
IReadOnlyList<(string Name, string Reason)> skipped,
TimeSpan elapsed)
{
var passCount = orderedResults.Count(r => r.Passed);
var failCount = orderedResults.Count(r => !r.Passed);
var sb = new StringBuilder();
sb.AppendLine(new string('═', 72));
sb.AppendLine("SUMMARY");
sb.AppendLine();
foreach (var result in orderedResults)
{
sb.AppendLine($" {(result.Passed ? "" : "")} {result.SampleName}: {result.Summary}");
}
foreach (var (name, reason) in skipped)
{
sb.AppendLine($" ○ {name}: Skipped — {reason}");
}
sb.AppendLine();
sb.AppendLine($"Results: {passCount} passed{(failCount > 0 ? $", {failCount} failed" : "")}{(skipped.Count > 0 ? $", {skipped.Count} skipped" : "")}");
sb.AppendLine($"Elapsed: {elapsed.Hours:D2}:{elapsed.Minutes:D2}:{elapsed.Seconds:D2}");
await this.AppendAsync(sb.ToString());
}
private async Task AppendAsync(string text)
{
await this._writeLock.WaitAsync();
try
{
await File.AppendAllTextAsync(this._path, text);
}
finally
{
this._writeLock.Release();
}
}
}
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// Copyright (c) Microsoft. All rights reserved.
// This tool runs the 01-get-started, 02-agents, and 03-workflows samples and verifies their output.
// Deterministic samples are verified with exact string matching.
// Non-deterministic (LLM) samples are verified using an agent-framework agent.
//
// Usage:
// dotnet run # Run all samples
// dotnet run -- 01_hello_agent 05_first_workflow # Run specific samples by name
// dotnet run -- --category 01-get-started # Run the 01-get-started category
// dotnet run -- --category 02-agents # Run the 02-agents category
// dotnet run -- --category 03-workflows # Run the 03-workflows category
// dotnet run -- --parallel 16 # Run up to 16 samples concurrently
// dotnet run -- --log results.log # Write sequential log to file
// dotnet run -- --csv results.csv # Write CSV summary to file
//
// Required environment variables (for AI-powered samples):
// AZURE_OPENAI_ENDPOINT
// AZURE_OPENAI_DEPLOYMENT_NAME (optional, defaults to gpt-5-mini)
using System.Diagnostics;
using Azure.AI.OpenAI;
using Azure.Identity;
using VerifySamples;
var options = VerifyOptions.Parse(args);
if (options is null)
{
return 1;
}
var stopwatch = Stopwatch.StartNew();
// Resolve the dotnet/ root directory (verify-samples is at dotnet/eng/verify-samples/)
var dotnetRoot = Path.GetFullPath(Path.Combine(AppContext.BaseDirectory, "..", "..", "..", "..", ".."));
if (!File.Exists(Path.Combine(dotnetRoot, "agent-framework-dotnet.slnx")))
{
dotnetRoot = Path.GetFullPath(Path.Combine(Directory.GetCurrentDirectory(), "..", ".."));
}
// Set up the AI verifier
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5-mini";
OpenAI.Chat.ChatClient? chatClient = null;
if (!string.IsNullOrEmpty(endpoint))
{
chatClient = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
.GetChatClient(deploymentName);
}
// Set up optional log file writer
LogFileWriter? logWriter = null;
if (options.LogFilePath is not null)
{
logWriter = new LogFileWriter(options.LogFilePath);
await logWriter.WriteHeaderAsync();
}
try
{
// Run all samples
var reporter = new ConsoleReporter();
var verifier = new SampleVerifier(chatClient);
var orchestrator = new VerificationOrchestrator(verifier, reporter, dotnetRoot, TimeSpan.FromMinutes(3), logWriter);
var run = await orchestrator.RunAllAsync(options.Samples, options.MaxParallelism);
stopwatch.Stop();
// Print summary
var orderedResults = run.SampleOrder
.Where(run.Results.ContainsKey)
.Select(name => run.Results[name])
.ToList();
reporter.PrintSummary(orderedResults, run.Skipped, stopwatch.Elapsed);
// Write log file summary
if (logWriter is not null)
{
await logWriter.WriteSummaryAsync(orderedResults, run.Skipped, stopwatch.Elapsed);
Console.WriteLine($"Log written to: {options.LogFilePath}");
}
// Write CSV summary
if (options.CsvFilePath is not null)
{
await CsvResultWriter.WriteAsync(options.CsvFilePath, orderedResults, run.Skipped, options.Samples);
Console.WriteLine($"CSV written to: {options.CsvFilePath}");
}
return orderedResults.Any(r => !r.Passed) ? 1 : 0;
}
finally
{
logWriter?.Dispose();
}
@@ -0,0 +1,79 @@
// Copyright (c) Microsoft. All rights reserved.
namespace VerifySamples;
/// <summary>
/// Describes a sample to verify, including its expected output.
/// </summary>
internal sealed class SampleDefinition
{
/// <summary>
/// Display name for the sample (e.g., "01_hello_agent").
/// </summary>
public required string Name { get; init; }
/// <summary>
/// Relative path from the dotnet/ directory to the sample project directory.
/// </summary>
public required string ProjectPath { get; init; }
/// <summary>
/// Environment variables that the sample requires for a meaningful run.
/// The runner checks these before running and will skip the sample if any are unset,
/// recording a skip reason that indicates which required variables are missing.
/// </summary>
public string[] RequiredEnvironmentVariables { get; init; } = [];
/// <summary>
/// Environment variables that the sample can use but typically has fallbacks or defaults for.
/// If these are not set, the sample might prompt or behave interactively, which could cause
/// automated verification to hang. The runner checks these and skips the sample if they are unset
/// to avoid non-deterministic or blocking behavior in automated runs.
/// </summary>
public string[] OptionalEnvironmentVariables { get; init; } = [];
/// <summary>
/// If set, the sample is skipped with this reason.
/// Use only for structural reasons (e.g., web server, multi-process, needs external service).
/// Do NOT use for missing environment variables — those are checked dynamically.
/// </summary>
public string? SkipReason { get; init; }
/// <summary>
/// Substrings that must appear in stdout for the sample to pass.
/// Used for deterministic verification.
/// </summary>
public string[] MustContain { get; init; } = [];
/// <summary>
/// Substrings that must not appear in stdout for the sample to pass.
/// </summary>
public string[] MustNotContain { get; init; } = [];
/// <summary>
/// If true, <see cref="MustContain"/> entries cover the entire expected output —
/// no AI verification is needed.
/// </summary>
public bool IsDeterministic { get; init; }
/// <summary>
/// Natural-language description of what the sample output should look like.
/// Used by the AI verifier for non-deterministic samples.
/// Each entry describes one aspect of the expected output that should be verified.
/// </summary>
public string[] ExpectedOutputDescription { get; init; } = [];
/// <summary>
/// Sequence of stdin inputs to feed to the sample process.
/// Each entry is written as a line (followed by newline) to the process stdin.
/// A <c>null</c> entry inserts a delay without writing anything.
/// Inputs are sent with a short delay between each to allow the process to prompt.
/// </summary>
public string?[] Inputs { get; init; } = [];
/// <summary>
/// Delay in milliseconds between each input line. Default is 2000ms.
/// Increase for samples that need more time between prompts (e.g., LLM calls between inputs).
/// </summary>
public int InputDelayMs { get; init; } = 2000;
}
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// Copyright (c) Microsoft. All rights reserved.
using System.Diagnostics;
namespace VerifySamples;
/// <summary>
/// Result of running a sample process.
/// </summary>
internal sealed record SampleRunResult(
string Stdout,
string Stderr,
int ExitCode,
TimeSpan Elapsed);
/// <summary>
/// Runs a sample project via <c>dotnet run</c> and captures its output.
/// </summary>
internal static class SampleRunner
{
/// <summary>
/// Runs <c>dotnet run --framework net10.0</c> in the given project directory.
/// </summary>
public static Task<SampleRunResult> RunAsync(
string projectPath,
TimeSpan timeout,
CancellationToken cancellationToken = default)
=> RunAsync(projectPath, "run --framework net10.0", timeout, inputs: null, inputDelayMs: 0, cancellationToken: cancellationToken);
/// <summary>
/// Runs <c>dotnet run --framework net10.0</c> with stdin inputs.
/// </summary>
public static Task<SampleRunResult> RunAsync(
string projectPath,
TimeSpan timeout,
string?[]? inputs,
int inputDelayMs = 2000,
CancellationToken cancellationToken = default)
=> RunAsync(projectPath, "run --framework net10.0", timeout, inputs, inputDelayMs, cancellationToken);
/// <summary>
/// Runs an arbitrary <c>dotnet</c> command in the given working directory.
/// </summary>
public static async Task<SampleRunResult> RunAsync(
string workingDirectory,
string dotnetArgs,
TimeSpan timeout,
string?[]? inputs = null,
int inputDelayMs = 0,
CancellationToken cancellationToken = default)
{
var psi = new ProcessStartInfo
{
FileName = "dotnet",
Arguments = dotnetArgs,
WorkingDirectory = workingDirectory,
RedirectStandardOutput = true,
RedirectStandardError = true,
RedirectStandardInput = inputs is { Length: > 0 },
UseShellExecute = false,
CreateNoWindow = true,
};
var sw = Stopwatch.StartNew();
using var process = new Process { StartInfo = psi };
process.Start();
var stdoutTask = process.StandardOutput.ReadToEndAsync(cancellationToken);
var stderrTask = process.StandardError.ReadToEndAsync(cancellationToken);
// Feed stdin inputs with delays if configured
if (inputs is { Length: > 0 })
{
_ = Task.Run(async () =>
{
try
{
foreach (var input in inputs)
{
await Task.Delay(inputDelayMs, cancellationToken);
if (input is not null)
{
await process.StandardInput.WriteLineAsync(input.AsMemory(), cancellationToken);
await process.StandardInput.FlushAsync(cancellationToken);
}
}
process.StandardInput.Close();
}
catch (Exception ex) when (ex is IOException or ObjectDisposedException or OperationCanceledException)
{
// Process may have exited before all inputs were sent
}
}, cancellationToken);
}
using var cts = CancellationTokenSource.CreateLinkedTokenSource(cancellationToken);
cts.CancelAfter(timeout);
try
{
await process.WaitForExitAsync(cts.Token);
}
catch (OperationCanceledException) when (!cancellationToken.IsCancellationRequested)
{
// Timeout — kill the process
try
{
process.Kill(entireProcessTree: true);
}
catch
{
// Best effort
}
sw.Stop();
return new SampleRunResult(
Stdout: await stdoutTask,
Stderr: $"TIMEOUT: Sample did not complete within {timeout.TotalSeconds}s.\n{await stderrTask}",
ExitCode: -1,
Elapsed: sw.Elapsed);
}
sw.Stop();
return new SampleRunResult(
Stdout: await stdoutTask,
Stderr: await stderrTask,
ExitCode: process.ExitCode,
Elapsed: sw.Elapsed);
}
}
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// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json.Serialization;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Chat;
namespace VerifySamples;
/// <summary>
/// Verifies sample output using deterministic checks and an AI agent
/// for non-deterministic output validation.
/// </summary>
internal sealed class SampleVerifier
{
private readonly AIAgent? _verifierAgent;
/// <summary>
/// Creates a verifier. If <paramref name="chatClient"/> is provided,
/// AI-based verification is available for non-deterministic samples.
/// </summary>
public SampleVerifier(ChatClient? chatClient = null)
{
if (chatClient is not null)
{
this._verifierAgent = chatClient.AsAIAgent(
instructions: """
You are a test output verifier. You will be given:
1. The actual stdout output of a program
2. A list of expectations about what the output should contain or demonstrate
Your job is to determine whether the actual output satisfies each expectation.
Be reasonable the output comes from an LLM so exact wording won't match, but the
semantic intent should be clearly satisfied.
""",
name: "OutputVerifier");
}
}
/// <summary>
/// Verifies the output of a sample run against its definition.
/// </summary>
public async Task<VerificationResult> VerifyAsync(SampleDefinition sample, SampleRunResult run)
{
var failures = new List<string>();
// 1. Exit code check
if (run.ExitCode != 0)
{
failures.Add($"Exit code was {run.ExitCode}, expected 0. Stderr: {Truncate(run.Stderr, 500)}");
}
// 2. Must-contain checks
foreach (var expected in sample.MustContain)
{
if (!run.Stdout.Contains(expected, StringComparison.Ordinal))
{
failures.Add($"Output missing expected substring: \"{expected}\"");
}
}
// 3. Must-not-contain checks
foreach (var unexpected in sample.MustNotContain)
{
if (run.Stdout.Contains(unexpected, StringComparison.Ordinal))
{
failures.Add($"Output contains unexpected substring: \"{unexpected}\"");
}
}
// 4. AI verification for non-deterministic samples
string? aiReasoning = null;
if (!sample.IsDeterministic && sample.ExpectedOutputDescription.Length > 0)
{
if (this._verifierAgent is null)
{
failures.Add("AI verification required but no AI agent configured (missing AZURE_OPENAI_ENDPOINT).");
}
else
{
var aiResult = await this.VerifyWithAIAsync(run.Stdout, sample.ExpectedOutputDescription);
aiReasoning = aiResult.Reasoning;
foreach (var unmet in aiResult.UnmetExpectations)
{
failures.Add($"AI expectation not met: {unmet}");
}
}
}
bool passed = failures.Count == 0;
return new VerificationResult
{
SampleName = sample.Name,
Passed = passed,
Summary = passed ? "All checks passed" : $"{failures.Count} check(s) failed",
Failures = failures,
AIReasoning = aiReasoning,
};
}
private async Task<(string Reasoning, List<string> UnmetExpectations)> VerifyWithAIAsync(
string actualOutput,
string[] expectations)
{
var expectationList = string.Join("\n", expectations.Select((e, i) => $" {i + 1}. {e}"));
var prompt = $"""
Actual program output:
---
{Truncate(actualOutput, 4000)}
---
Expectations to verify:
{expectationList}
Does the output satisfy all expectations?
""";
try
{
var response = await this._verifierAgent!.RunAsync<AIVerificationResponse>(prompt);
var result = response.Result;
if (result is null)
{
return ($"AI verification returned null result. Raw: {response.Text}", ["AI verification returned null result."]);
}
var reasoning = result.Reasoning ?? "(no reasoning provided)";
// Collect unmet expectations as individual failures
var unmet = new List<string>();
if (result.ExpectationResults is { Count: > 0 })
{
foreach (var er in result.ExpectationResults.Where(er => !er.Met))
{
var detail = string.IsNullOrWhiteSpace(er.Detail) ? er.Expectation : $"{er.Expectation} — {er.Detail}";
unmet.Add(detail ?? "Unknown expectation");
}
// If the model flagged overall failure but all individual expectations were met,
// still treat as failure using the overall reasoning.
if (unmet.Count == 0 && !result.Pass)
{
unmet.Add(reasoning);
}
}
else if (!result.Pass)
{
// Fallback: no per-expectation detail but overall pass is false
unmet.Add(reasoning);
}
return (reasoning, unmet);
}
catch (Exception ex)
{
return ($"AI verification error: {ex.Message}", [$"AI verification error: {ex.Message}"]);
}
}
private static string Truncate(string text, int maxLength)
=> text.Length <= maxLength ? text : text[..maxLength] + "... (truncated)";
}
/// <summary>
/// Structured response from the AI verification agent.
/// </summary>
[System.Diagnostics.CodeAnalysis.SuppressMessage("Performance", "CA1812:Avoid uninstantiated internal classes", Justification = "Instantiated by JSON deserialization via RunAsync<T>.")]
internal sealed class AIVerificationResponse
{
/// <summary>Whether all expectations were met.</summary>
[JsonPropertyName("pass")]
public bool Pass { get; set; }
/// <summary>Brief explanation of the overall assessment.</summary>
[JsonPropertyName("reasoning")]
public string? Reasoning { get; set; }
/// <summary>Per-expectation results.</summary>
[JsonPropertyName("expectation_results")]
public List<ExpectationResult>? ExpectationResults { get; set; }
}
/// <summary>
/// Result for an individual expectation check.
/// </summary>
[System.Diagnostics.CodeAnalysis.SuppressMessage("Performance", "CA1812:Avoid uninstantiated internal classes", Justification = "Instantiated by JSON deserialization via RunAsync<T>.")]
internal sealed class ExpectationResult
{
/// <summary>The expectation text that was evaluated.</summary>
[JsonPropertyName("expectation")]
public string? Expectation { get; set; }
/// <summary>Whether this expectation was met.</summary>
[JsonPropertyName("met")]
public bool Met { get; set; }
/// <summary>Detail about how the expectation was or was not met.</summary>
[JsonPropertyName("detail")]
public string? Detail { get; set; }
}
@@ -0,0 +1,197 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Collections.Concurrent;
namespace VerifySamples;
/// <summary>
/// Orchestrates sample verification: filters, runs in parallel, and collects results.
/// </summary>
internal sealed class VerificationOrchestrator
{
private readonly SampleVerifier _verifier;
private readonly ConsoleReporter _reporter;
private readonly LogFileWriter? _logWriter;
private readonly string _dotnetRoot;
private readonly TimeSpan _timeout;
public VerificationOrchestrator(
SampleVerifier verifier,
ConsoleReporter reporter,
string dotnetRoot,
TimeSpan timeout,
LogFileWriter? logWriter = null)
{
this._verifier = verifier;
this._reporter = reporter;
this._logWriter = logWriter;
this._dotnetRoot = dotnetRoot;
this._timeout = timeout;
}
/// <summary>
/// The result of running all samples through the orchestrator.
/// </summary>
internal sealed record RunAllResult(
ConcurrentDictionary<string, VerificationResult> Results,
List<(string Name, string Reason)> Skipped,
List<string> SampleOrder);
/// <summary>
/// Filters samples, runs the runnable ones in parallel, and returns all results.
/// </summary>
public async Task<RunAllResult> RunAllAsync(
IReadOnlyList<SampleDefinition> samples,
int maxParallelism)
{
var skipped = new List<(string Name, string Reason)>();
var runnableSamples = new List<SampleDefinition>();
var sampleOrder = new List<string>();
// Separate samples into skipped and runnable
foreach (var sample in samples)
{
sampleOrder.Add(sample.Name);
if (sample.SkipReason is not null)
{
skipped.Add((sample.Name, sample.SkipReason));
this._reporter.WriteLineWithPrefix(sample.Name, $"SKIPPED — {sample.SkipReason}", ConsoleColor.Yellow);
if (this._logWriter is not null)
{
await this._logWriter.WriteSkippedAsync(sample.Name, sample.SkipReason);
}
continue;
}
var missingRequired = sample.RequiredEnvironmentVariables
.Where(v => string.IsNullOrEmpty(Environment.GetEnvironmentVariable(v)))
.ToList();
var missingOptional = sample.OptionalEnvironmentVariables
.Where(v => string.IsNullOrEmpty(Environment.GetEnvironmentVariable(v)))
.ToList();
if (missingRequired.Count > 0 || missingOptional.Count > 0)
{
var reasons = new List<string>();
if (missingRequired.Count > 0)
{
reasons.Add($"Missing required: {string.Join(", ", missingRequired)}");
}
if (missingOptional.Count > 0)
{
reasons.Add($"Missing optional (would cause console prompt hang): {string.Join(", ", missingOptional)}");
}
var skipReason = string.Join("; ", reasons);
skipped.Add((sample.Name, skipReason));
this._reporter.WriteLineWithPrefix(sample.Name, $"SKIPPED — {skipReason}", ConsoleColor.Yellow);
if (this._logWriter is not null)
{
await this._logWriter.WriteSkippedAsync(sample.Name, skipReason);
}
continue;
}
runnableSamples.Add(sample);
}
// Run samples in parallel
var results = new ConcurrentDictionary<string, VerificationResult>();
var semaphore = new SemaphoreSlim(maxParallelism);
this._reporter.WriteLineWithPrefix(
"runner", $"Running {runnableSamples.Count} samples (max {maxParallelism} parallel)...");
try
{
var tasks = runnableSamples.Select(sample => this.RunSingleAsync(sample, results, semaphore)).ToArray();
await Task.WhenAll(tasks);
}
finally
{
semaphore.Dispose();
}
return new RunAllResult(results, skipped, sampleOrder);
}
private async Task RunSingleAsync(
SampleDefinition sample,
ConcurrentDictionary<string, VerificationResult> results,
SemaphoreSlim semaphore)
{
await semaphore.WaitAsync();
try
{
var log = new List<string>();
log.Add($"[{sample.Name}] Running...");
this._reporter.WriteLineWithPrefix(sample.Name, "Running...");
var projectPath = Path.Combine(this._dotnetRoot, sample.ProjectPath);
var run = sample.Inputs.Length > 0
? await SampleRunner.RunAsync(projectPath, this._timeout, sample.Inputs, sample.InputDelayMs)
: await SampleRunner.RunAsync(projectPath, this._timeout);
log.Add($"[{sample.Name}] Completed ({run.Elapsed.TotalSeconds:F1}s, exit={run.ExitCode})");
this._reporter.WriteLineWithPrefix(
sample.Name, $"Completed ({run.Elapsed.TotalSeconds:F1}s, exit={run.ExitCode}). Verifying...");
var result = await this._verifier.VerifyAsync(sample, run);
if (result.Passed)
{
log.Add($"[{sample.Name}] PASSED");
this._reporter.WriteLineWithPrefix(sample.Name, "PASSED", ConsoleColor.Green);
}
else
{
log.Add($"[{sample.Name}] FAILED");
this._reporter.WriteLineWithPrefix(sample.Name, "FAILED", ConsoleColor.Red);
foreach (var failure in result.Failures)
{
log.Add($"[{sample.Name}] ✗ {failure}");
this._reporter.WriteLineWithPrefix(sample.Name, $" ✗ {failure}", ConsoleColor.Red);
}
}
if (result.AIReasoning is not null)
{
log.Add($"[{sample.Name}] AI: {result.AIReasoning}");
this._reporter.WriteLineWithPrefix(
sample.Name, $" AI: {Truncate(result.AIReasoning, 300)}", ConsoleColor.DarkGray);
}
var verificationResult = new VerificationResult
{
SampleName = result.SampleName,
Passed = result.Passed,
Summary = result.Summary,
Failures = result.Failures,
AIReasoning = result.AIReasoning,
Stdout = run.Stdout,
Stderr = run.Stderr,
LogLines = log,
};
results[sample.Name] = verificationResult;
if (this._logWriter is not null)
{
await this._logWriter.WriteSampleResultAsync(verificationResult);
}
}
finally
{
semaphore.Release();
}
}
private static string Truncate(string text, int maxLength)
=> text.Length <= maxLength ? text : text[..maxLength] + "...";
}
@@ -0,0 +1,31 @@
// Copyright (c) Microsoft. All rights reserved.
namespace VerifySamples;
/// <summary>
/// The result of verifying a single sample.
/// </summary>
internal sealed class VerificationResult
{
public required string SampleName { get; init; }
public required bool Passed { get; init; }
public required string Summary { get; init; }
public List<string> Failures { get; init; } = [];
public string? AIReasoning { get; init; }
/// <summary>
/// The sample's stdout output, captured for log file output.
/// </summary>
public string? Stdout { get; init; }
/// <summary>
/// The sample's stderr output, captured for log file output.
/// </summary>
public string? Stderr { get; init; }
/// <summary>
/// Per-sample log lines, buffered during parallel execution
/// and written sequentially to the log file.
/// </summary>
public List<string> LogLines { get; init; } = [];
}
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// Copyright (c) Microsoft. All rights reserved.
namespace VerifySamples;
/// <summary>
/// Parsed command-line options for the sample verification tool.
/// </summary>
internal sealed class VerifyOptions
{
/// <summary>
/// Maximum number of samples to run concurrently.
/// </summary>
public int MaxParallelism { get; init; } = 8;
/// <summary>
/// Path to write a CSV summary file, or <c>null</c> to skip.
/// </summary>
public string? CsvFilePath { get; init; }
/// <summary>
/// Path to write a sequential log file, or <c>null</c> to skip.
/// </summary>
public string? LogFilePath { get; init; }
/// <summary>
/// The filtered list of samples to process.
/// </summary>
public required IReadOnlyList<SampleDefinition> Samples { get; init; }
/// <summary>
/// All known sample set registries, keyed by category name.
/// </summary>
private static readonly Dictionary<string, IReadOnlyList<SampleDefinition>> s_sampleSets =
new(StringComparer.OrdinalIgnoreCase)
{
["01-get-started"] = GetStartedSamples.All,
["02-agents"] = AgentsSamples.All,
["03-workflows"] = WorkflowSamples.All,
};
/// <summary>
/// Parses command-line arguments and resolves the sample list.
/// Returns <c>null</c> and writes to stderr if the arguments are invalid.
/// </summary>
public static VerifyOptions? Parse(string[] args)
{
var argList = args.ToList();
var categoryFilter = ExtractArg(argList, "--category");
var logFilePath = ExtractArg(argList, "--log");
var csvFilePath = ExtractArg(argList, "--csv");
int maxParallelism = 8;
var parallelArg = ExtractArg(argList, "--parallel");
if (parallelArg is not null && int.TryParse(parallelArg, out var p) && p > 0)
{
maxParallelism = p;
}
HashSet<string>? nameFilter = null;
if (argList.Count > 0)
{
nameFilter = argList.ToHashSet(StringComparer.OrdinalIgnoreCase);
}
// Build the sample list
IReadOnlyList<SampleDefinition> samples;
if (categoryFilter is not null)
{
if (!s_sampleSets.TryGetValue(categoryFilter, out var categoryList))
{
Console.Error.WriteLine(
$"Unknown category '{categoryFilter}'. Available: {string.Join(", ", s_sampleSets.Keys)}");
return null;
}
samples = categoryList;
}
else
{
samples = s_sampleSets.Values.SelectMany(s => s).ToList();
}
if (nameFilter is not null)
{
samples = samples.Where(s => nameFilter.Contains(s.Name)).ToList();
}
if (samples.Count == 0)
{
var allNames = s_sampleSets.Values.SelectMany(s => s).Select(s => s.Name);
Console.Error.WriteLine($"No matching samples found. Available: {string.Join(", ", allNames)}");
return null;
}
return new VerifyOptions
{
MaxParallelism = maxParallelism,
LogFilePath = logFilePath,
CsvFilePath = csvFilePath,
Samples = samples,
};
}
private static string? ExtractArg(List<string> list, string flag)
{
var idx = list.IndexOf(flag);
if (idx < 0)
{
return null;
}
if (idx + 1 >= list.Count)
{
Console.Error.WriteLine($"Missing value for {flag}.");
list.RemoveAt(idx);
return null;
}
var value = list[idx + 1];
list.RemoveRange(idx, 2);
return value;
}
}
@@ -0,0 +1,525 @@
// Copyright (c) Microsoft. All rights reserved.
namespace VerifySamples;
/// <summary>
/// Defines the expected behavior for each sample in 03-workflows.
/// </summary>
internal static class WorkflowSamples
{
public static IReadOnlyList<SampleDefinition> All { get; } =
[
// ───────────────────────────────────────────────────────────────────
// _StartHere
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_StartHere_01_Streaming",
ProjectPath = "samples/03-workflows/_StartHere/01_Streaming",
RequiredEnvironmentVariables = [],
IsDeterministic = true,
MustContain =
[
"UppercaseExecutor: HELLO, WORLD!",
"ReverseTextExecutor: !DLROW ,OLLEH",
],
},
new SampleDefinition
{
Name = "Workflow_StartHere_02_AgentsInWorkflows",
ProjectPath = "samples/03-workflows/_StartHere/02_AgentsInWorkflows",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
[
"The output should show agent responses from a translation workflow.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "Workflow_StartHere_03_AgentWorkflowPatterns",
ProjectPath = "samples/03-workflows/_StartHere/03_AgentWorkflowPatterns",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
Inputs = ["sequential"],
InputDelayMs = 3000,
ExpectedOutputDescription =
[
"The output should show a sequential workflow pattern with multiple agents executing tasks in order.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "Workflow_StartHere_04_MultiModelService",
ProjectPath = "samples/03-workflows/_StartHere/04_MultiModelService",
RequiredEnvironmentVariables = ["BEDROCK_ACCESS_KEY", "BEDROCK_SECRET_KEY", "ANTHROPIC_API_KEY", "OPENAI_API_KEY"],
SkipReason = "Requires multiple external provider API keys (Bedrock, Anthropic, OpenAI).",
},
new SampleDefinition
{
Name = "Workflow_StartHere_05_SubWorkflows",
ProjectPath = "samples/03-workflows/_StartHere/05_SubWorkflows",
RequiredEnvironmentVariables = [],
IsDeterministic = true,
MustContain =
[
"=== Sub-Workflow Demonstration ===",
"Final Output:",
"=== Main Workflow Completed ===",
"Sample Complete: Workflows can be composed hierarchically using sub-workflows",
],
},
new SampleDefinition
{
Name = "Workflow_StartHere_06_MixedWorkflowAgentsAndExecutors",
ProjectPath = "samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
Inputs = ["What is 2 plus 2?"],
InputDelayMs = 3000,
ExpectedOutputDescription =
[
"The output should show agents and executors working together to process a user question.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "Workflow_StartHere_07_WriterCriticWorkflow",
ProjectPath = "samples/03-workflows/_StartHere/07_WriterCriticWorkflow",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
MustContain = ["=== Writer-Critic Iteration Workflow ==="],
ExpectedOutputDescription =
[
"The output should show a writer-critic iteration workflow with writer and critic sections.",
"The critic should either approve or request revisions.",
"The output should not contain error messages or stack traces.",
],
},
// ───────────────────────────────────────────────────────────────────
// Agents
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_Agents_CustomAgentExecutors",
ProjectPath = "samples/03-workflows/Agents/CustomAgentExecutors",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
[
"The output should show custom workflow events including slogan generation and feedback.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "Workflow_Agents_FoundryAgent",
ProjectPath = "samples/03-workflows/Agents/FoundryAgent",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
SkipReason = "Requires Azure AI Foundry project endpoint.",
},
new SampleDefinition
{
Name = "Workflow_Agents_GroupChatToolApproval",
ProjectPath = "samples/03-workflows/Agents/GroupChatToolApproval",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
MustContain = ["Starting group chat workflow for software deployment..."],
ExpectedOutputDescription =
[
"The output should show a group chat workflow with QA and DevOps agents for software deployment.",
"There should be approval requests for tool calls.",
"The workflow should show interaction between QA and DevOps agents toward deployment.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "Workflow_Agents_WorkflowAsAnAgent",
ProjectPath = "samples/03-workflows/Agents/WorkflowAsAnAgent",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
Inputs = ["hello", "exit"],
InputDelayMs = 5000,
ExpectedOutputDescription =
[
"The output should show a conversational workflow responding to the user's hello message.",
"The output should not contain error messages or stack traces.",
],
},
// ───────────────────────────────────────────────────────────────────
// Checkpoint
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_Checkpoint_CheckpointAndRehydrate",
ProjectPath = "samples/03-workflows/Checkpoint/CheckpointAndRehydrate",
RequiredEnvironmentVariables = [],
IsDeterministic = true,
MustContain =
[
"Workflow completed with result:",
"Number of checkpoints created:",
"Hydrating a new workflow instance from the 6th checkpoint.",
],
},
new SampleDefinition
{
Name = "Workflow_Checkpoint_CheckpointAndResume",
ProjectPath = "samples/03-workflows/Checkpoint/CheckpointAndResume",
RequiredEnvironmentVariables = [],
IsDeterministic = true,
MustContain =
[
"Workflow completed with result:",
"Number of checkpoints created:",
"Restoring from the 6th checkpoint.",
],
},
new SampleDefinition
{
Name = "Workflow_Checkpoint_CheckpointWithHumanInTheLoop",
ProjectPath = "samples/03-workflows/Checkpoint/CheckpointWithHumanInTheLoop",
RequiredEnvironmentVariables = [],
Inputs = ["50", "25", "40", "45", "42", "50", "25", "40", "45", "42"],
InputDelayMs = 1000,
MustContain = ["found in"],
ExpectedOutputDescription =
[
"The output should show a number guessing game with higher/lower hints that eventually reaches the correct number.",
"The output should demonstrate checkpoint save and restore behavior.",
],
},
// ───────────────────────────────────────────────────────────────────
// Concurrent
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_Concurrent_Concurrent",
ProjectPath = "samples/03-workflows/Concurrent/Concurrent",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
[
"The output should show results from concurrent agent processing.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "Workflow_Concurrent_MapReduce",
ProjectPath = "samples/03-workflows/Concurrent/MapReduce",
RequiredEnvironmentVariables = [],
MustContain =
[
"=== RUNNING WORKFLOW ===",
],
},
// ───────────────────────────────────────────────────────────────────
// ConditionalEdges
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_ConditionalEdges_01_EdgeCondition",
ProjectPath = "samples/03-workflows/ConditionalEdges/01_EdgeCondition",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
[
"The output should show an email being classified as spam or not spam and processed accordingly.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "Workflow_ConditionalEdges_02_SwitchCase",
ProjectPath = "samples/03-workflows/ConditionalEdges/02_SwitchCase",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
[
"The output should show an ambiguous email being classified as spam, not spam, or uncertain.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "Workflow_ConditionalEdges_03_MultiSelection",
ProjectPath = "samples/03-workflows/ConditionalEdges/03_MultiSelection",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
[
"The output should show an email being classified and potentially routed to multiple handlers.",
"The output should not contain error messages or stack traces.",
],
},
// ───────────────────────────────────────────────────────────────────
// HumanInTheLoop
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_HumanInTheLoop_Basic",
ProjectPath = "samples/03-workflows/HumanInTheLoop/HumanInTheLoopBasic",
RequiredEnvironmentVariables = [],
Inputs = ["50", "25", "40", "45", "42"],
InputDelayMs = 1000,
MustContain = ["found in"],
ExpectedOutputDescription =
[
"The output should show a number guessing game with higher/lower hints that eventually reaches the correct number 42.",
],
},
// ───────────────────────────────────────────────────────────────────
// Loop
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_Loop",
ProjectPath = "samples/03-workflows/Loop",
RequiredEnvironmentVariables = [],
MustContain = ["Result:"],
},
// ───────────────────────────────────────────────────────────────────
// SharedStates
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_SharedStates",
ProjectPath = "samples/03-workflows/SharedStates",
RequiredEnvironmentVariables = [],
IsDeterministic = true,
MustContain =
[
"Total Paragraphs:",
"Total Words:",
],
},
// ───────────────────────────────────────────────────────────────────
// Visualization
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_Visualization",
ProjectPath = "samples/03-workflows/Visualization",
RequiredEnvironmentVariables = [],
IsDeterministic = true,
MustContain =
[
"Generating workflow visualization...",
"Mermaid string:",
"DiGraph string:",
],
},
// ───────────────────────────────────────────────────────────────────
// Observability
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_Observability_ApplicationInsights",
ProjectPath = "samples/03-workflows/Observability/ApplicationInsights",
RequiredEnvironmentVariables = ["APPLICATIONINSIGHTS_CONNECTION_STRING"],
SkipReason = "Requires Application Insights connection string.",
},
new SampleDefinition
{
Name = "Workflow_Observability_AspireDashboard",
ProjectPath = "samples/03-workflows/Observability/AspireDashboard",
RequiredEnvironmentVariables = [],
SkipReason = "Requires Aspire Dashboard / OTLP endpoint.",
},
new SampleDefinition
{
Name = "Workflow_Observability_WorkflowAsAnAgent",
ProjectPath = "samples/03-workflows/Observability/WorkflowAsAnAgent",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
SkipReason = "Interactive console with ReadLine loop; requires OTLP endpoint.",
},
// ───────────────────────────────────────────────────────────────────
// Declarative
// ───────────────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "Workflow_Declarative_ConfirmInput",
ProjectPath = "samples/03-workflows/Declarative/ConfirmInput",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
Inputs = ["hello", "hello"],
InputDelayMs = 8000,
ExpectedOutputDescription = ["The output should show a confirmation prompt and a user response."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_CustomerSupport",
ProjectPath = "samples/03-workflows/Declarative/CustomerSupport",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["My laptop won't start"],
InputDelayMs = 3000,
ExpectedOutputDescription = ["The output should show a customer support workflow processing a laptop issue, with agent responses providing troubleshooting or support."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_DeepResearch",
ProjectPath = "samples/03-workflows/Declarative/DeepResearch",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
SkipReason = "Requires external weather API (wttr.in).",
},
new SampleDefinition
{
Name = "Workflow_Declarative_ExecuteCode",
ProjectPath = "samples/03-workflows/Declarative/ExecuteCode",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
Inputs = ["What is 12 * 34?"],
InputDelayMs = 5000,
ExpectedOutputDescription = ["The output should show a declarative workflow executing generated code, processing a math question and producing a result."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_ExecuteWorkflow",
ProjectPath = "samples/03-workflows/Declarative/ExecuteWorkflow",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
SkipReason = "Requires a workflow file path as a CLI argument.",
},
new SampleDefinition
{
Name = "Workflow_Declarative_FunctionTools",
ProjectPath = "samples/03-workflows/Declarative/FunctionTools",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["What are today's specials?", "EXIT"],
InputDelayMs = 8000,
ExpectedOutputDescription = ["The output should show a workflow calling function tools (e.g. a menu plugin) to answer a question about restaurant specials."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_GenerateCode",
ProjectPath = "samples/03-workflows/Declarative/GenerateCode",
IsDeterministic = true,
MustContain = ["WORKFLOW: Parsing", "WORKFLOW: Defined"],
ExpectedOutputDescription = ["The output should show a YAML workflow being parsed and C# code being generated from it."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_HostedWorkflow",
ProjectPath = "samples/03-workflows/Declarative/HostedWorkflow",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
SkipReason = "Hosts a persistent workflow server that does not exit.",
},
new SampleDefinition
{
Name = "Workflow_Declarative_InputArguments",
ProjectPath = "samples/03-workflows/Declarative/InputArguments",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["I'd like to visit Seattle", "EXIT"],
InputDelayMs = 8000,
ExpectedOutputDescription = ["The output should show a workflow capturing location input and providing travel-related information about Seattle."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_InvokeFunctionTool",
ProjectPath = "samples/03-workflows/Declarative/InvokeFunctionTool",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["What's the soup of the day?", "EXIT"],
InputDelayMs = 8000,
ExpectedOutputDescription = ["The output should show a workflow invoking a function tool (e.g. a menu plugin) to answer a question about the soup of the day."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_InvokeMcpTool",
ProjectPath = "samples/03-workflows/Declarative/InvokeMcpTool",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["Search for .NET tutorials on Microsoft Learn"],
InputDelayMs = 3000,
ExpectedOutputDescription = ["The output should show a workflow using MCP tools to search Microsoft Learn documentation and provide a summary of results."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_Marketing",
ProjectPath = "samples/03-workflows/Declarative/Marketing",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["A smart water bottle that tracks hydration"],
InputDelayMs = 3000,
ExpectedOutputDescription = ["The output should show a marketing workflow generating content about a smart water bottle product."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_StudentTeacher",
ProjectPath = "samples/03-workflows/Declarative/StudentTeacher",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["What is 18 + 27?"],
InputDelayMs = 3000,
ExpectedOutputDescription = ["The output should show a student-teacher workflow where a student asks a math question and a teacher provides the answer."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_ToolApproval",
ProjectPath = "samples/03-workflows/Declarative/ToolApproval",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["Search for .NET tutorials", "EXIT"],
InputDelayMs = 8000,
ExpectedOutputDescription = ["The output should show a workflow using an MCP tool with approval to search Microsoft Learn, followed by an exit from the input loop."],
},
];
}
@@ -0,0 +1,24 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<IsPackable>false</IsPackable>
<IsAotCompatible>false</IsAotCompatible>
<!-- This is a top-level console app; ConfigureAwait is unnecessary -->
<NoWarn>$(NoWarn);CA2007</NoWarn>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>