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This commit is contained in:
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// Copyright (c) Microsoft. All rights reserved.
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using System.ComponentModel;
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using System.Text.Json.Serialization;
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using Microsoft.Agents.AI;
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namespace VerifySamples;
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/// <summary>
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/// Verifies sample output using deterministic checks and an AI agent
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/// for non-deterministic output validation.
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/// </summary>
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internal sealed class SampleVerifier
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{
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private readonly AIAgent? _verifierAgent;
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/// <summary>
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/// Creates a verifier. If <paramref name="verifierAgent"/> is provided,
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/// AI-based verification is available for non-deterministic samples.
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/// </summary>
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public SampleVerifier(AIAgent? verifierAgent = null)
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{
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this._verifierAgent = verifierAgent;
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}
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/// <summary>
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/// Verifies the output of a sample run against its definition.
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/// </summary>
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public async Task<VerificationResult> VerifyAsync(SampleDefinition sample, SampleRunResult run)
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{
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var failures = new List<string>();
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// 1. Exit code check
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if (run.ExitCode != 0)
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{
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failures.Add($"Exit code was {run.ExitCode}, expected 0. Stderr: {Truncate(run.Stderr, 500)}");
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}
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// 2. Must-contain checks
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foreach (var expected in sample.MustContain)
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{
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if (!run.Stdout.Contains(expected, StringComparison.Ordinal))
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{
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failures.Add($"Output missing expected substring: \"{expected}\"");
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}
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}
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// 3. Must-not-contain checks
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foreach (var unexpected in sample.MustNotContain)
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{
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if (run.Stdout.Contains(unexpected, StringComparison.Ordinal))
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{
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failures.Add($"Output contains unexpected substring: \"{unexpected}\"");
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}
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}
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// 4. AI verification for non-deterministic samples
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string? aiReasoning = null;
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if (!sample.IsDeterministic && sample.ExpectedOutputDescription.Length > 0)
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{
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if (this._verifierAgent is null)
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{
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failures.Add("AI verification required but no AI agent configured (missing AZURE_OPENAI_ENDPOINT).");
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}
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else
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{
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var aiResult = await this.VerifyWithAIAsync(run.Stdout, run.Stderr, sample.ExpectedOutputDescription);
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aiReasoning = aiResult.Reasoning;
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foreach (var unmet in aiResult.UnmetExpectations)
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{
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failures.Add($"AI expectation not met: {unmet}");
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}
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}
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}
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bool passed = failures.Count == 0;
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return new VerificationResult
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{
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SampleName = sample.Name,
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Passed = passed,
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Summary = passed ? "All checks passed" : $"{failures.Count} check(s) failed",
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Failures = failures,
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AIReasoning = aiReasoning,
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};
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}
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private async Task<(string Reasoning, List<string> UnmetExpectations)> VerifyWithAIAsync(
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string stdout,
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string stderr,
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string[] expectations)
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{
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var expectationList = string.Join("\n", expectations.Select((e, i) => $" {i + 1}. {e}"));
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var stderrSection = string.IsNullOrWhiteSpace(stderr)
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? ""
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: $"""
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Stderr output:
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---
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{Truncate(stderr, 2000)}
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---
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""";
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var prompt = $"""
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Actual program output:
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---
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{Truncate(stdout, 4000)}
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---
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{stderrSection}
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Expectations to verify:
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{expectationList}
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Does the output satisfy all expectations?
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""";
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try
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{
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var response = await this._verifierAgent!.RunAsync<AIVerificationResponse>(prompt);
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var result = response.Result;
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if (result is null)
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{
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return ($"AI verification returned null result. Raw: {response.Text}", ["AI verification returned null result."]);
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}
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var reasoning = string.IsNullOrWhiteSpace(result.AIReasoning)
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? "(no reasoning provided)"
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: result.AIReasoning;
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// Collect unmet expectations as individual failures
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var unmet = new List<string>();
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if (result.ExpectationResults is { Count: > 0 })
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{
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foreach (var er in result.ExpectationResults.Where(er => !er.Met))
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{
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var detail = string.IsNullOrWhiteSpace(er.Detail) ? er.Expectation : $"{er.Expectation} — {er.Detail}";
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unmet.Add(detail ?? "Unknown expectation");
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}
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// If the model flagged overall failure but all individual expectations were met,
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// still treat as failure using the overall reasoning.
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if (unmet.Count == 0 && !result.Pass)
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{
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unmet.Add(reasoning);
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}
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}
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else if (!result.Pass)
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{
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// Fallback: no per-expectation detail but overall pass is false
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unmet.Add(reasoning);
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}
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return (reasoning, unmet);
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}
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catch (Exception ex)
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{
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return ($"AI verification error: {ex.Message}", [$"AI verification error: {ex.Message}"]);
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}
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}
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private static string Truncate(string text, int maxLength)
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=> text.Length <= maxLength ? text : text[..maxLength] + "... (truncated)";
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}
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/// <summary>
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/// Structured response from the AI verification agent.
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/// </summary>
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[System.Diagnostics.CodeAnalysis.SuppressMessage("Performance", "CA1812:Avoid uninstantiated internal classes", Justification = "Instantiated by JSON deserialization via RunAsync<T>.")]
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internal sealed class AIVerificationResponse
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{
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/// <summary>Whether all expectations were met.</summary>
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[JsonPropertyName("pass")]
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public bool Pass { get; set; }
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/// <summary>Brief explanation of the overall assessment.</summary>
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[JsonPropertyName("ai_reasoning")]
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[Description("Always required. Brief explanation of the overall assessment, covering all expectations.")]
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public string AIReasoning { get; set; } = string.Empty;
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/// <summary>Per-expectation results.</summary>
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[JsonPropertyName("expectation_results")]
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[Description("Always required. One entry per expectation, in the same order as the input list.")]
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public List<ExpectationResult> ExpectationResults { get; set; } = [];
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}
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/// <summary>
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/// Result for an individual expectation check.
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/// </summary>
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[System.Diagnostics.CodeAnalysis.SuppressMessage("Performance", "CA1812:Avoid uninstantiated internal classes", Justification = "Instantiated by JSON deserialization via RunAsync<T>.")]
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internal sealed class ExpectationResult
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{
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/// <summary>The expectation text that was evaluated.</summary>
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[JsonPropertyName("expectation")]
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[Description("Echo back the expectation text being evaluated.")]
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public string Expectation { get; set; } = string.Empty;
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/// <summary>Whether this expectation was met.</summary>
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[JsonPropertyName("met")]
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public bool Met { get; set; }
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/// <summary>Detail about how the expectation was or was not met.</summary>
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[JsonPropertyName("detail")]
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[Description("Explain how the expectation was or was not met, citing specific evidence from the output.")]
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public string Detail { get; set; } = string.Empty;
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}
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