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Developer journey tutorial: Stage 3 - Production to adoption (#343)
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‎samples/microsoft/csharp/enterprise-agent-tutorial/3-production-to-adoption/.env.template‎

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# Azure AI Foundry Configuration
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PROJECT_ENDPOINT=https://your-project.eastus.api.azureml.ms
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AGENT_ID=your-agent-id
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# Application Insights Configuration
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APPINSIGHTS_INSTRUMENTATION_KEY=your-instrumentation-key
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APPINSIGHTS_CONNECTION_STRING=InstrumentationKey=your-key;IngestionEndpoint=https://eastus-0.in.applicationinsights.azure.com/
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# API Management Configuration
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APIM_ENDPOINT=https://your-apim.azure-api.net
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# Model Configuration
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MODEL_DEPLOYMENT_NAME=gpt-4o-mini

‎samples/microsoft/csharp/enterprise-agent-tutorial/3-production-to-adoption/EvaluationInsights.cs‎

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using System;
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using System.Collections.Generic;
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using Azure.AI.Projects;
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namespace Microsoft.Azure.Samples.ProductionToAdoption
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{
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public class EvaluationInsights
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{
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private readonly AIProjectClient? _projectClient;
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private readonly string _agentId;
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public EvaluationInsights(AIProjectClient? projectClient, string agentId)
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{
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_projectClient = projectClient;
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_agentId = agentId;
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}
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// <insight_generation>
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// NOTE: This code is a non-runnable snippet of the larger sample code from which it is taken.
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public Dictionary<string, object> AnalyzeEvaluationResults()
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{
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Helpers.PrintInfo("Analyzing evaluation patterns...");
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var random = new Random();
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var insights = new Dictionary<string, object>
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{
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["failure_patterns"] = new List<Dictionary<string, object>>
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{
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new() { ["pattern"] = "SharePoint connection timeout", ["frequency"] = random.Next(15, 25) }
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},
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["quality_trends"] = new Dictionary<string, object>
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{
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["current_month"] = random.NextDouble() * 0.2 + 0.8,
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["last_month"] = random.NextDouble() * 0.2 + 0.7
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},
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["recommendations"] = new List<string> { "Address high-impact failure patterns first" }
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};
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return insights;
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}
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// </insight_generation>
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public Dictionary<string, object> Run()
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{
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Helpers.PrintHeader("Evaluation Insights Analysis");
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var insights = AnalyzeEvaluationResults();
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Helpers.PrintEvaluationInsights(insights);
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Helpers.SaveJson(insights, "evaluation_insights.json");
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return insights;
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}
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}
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public class GatewayIntegration
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{
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private readonly AIProjectClient? _projectClient;
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private readonly string _agentId;
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public GatewayIntegration(AIProjectClient? projectClient, string agentId)
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{
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_projectClient = projectClient;
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_agentId = agentId;
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}
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// <apim_policies>
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// NOTE: This code is a non-runnable snippet of the larger sample code from which it is taken.
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public Dictionary<string, object> ConfigureGatewayPolicies()
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{
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Helpers.PrintInfo("Configuring API Management policies...");
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var config = new Dictionary<string, object>
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{
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["configuration"] = new Dictionary<string, object>
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{
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["endpoint"] = "https://your-apim.azure-api.net/agents/workplace",
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["rate_limit"] = "100 requests per minute per user",
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["caching_enabled"] = true
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}
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};
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return config;
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}
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// </apim_policies>
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public Dictionary<string, object> Run()
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{
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Helpers.PrintHeader("AI Gateway Integration");
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var config = ConfigureGatewayPolicies();
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Helpers.PrintGatewaySummary(config);
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Helpers.SaveJson(config, "gateway_config.json");
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return config;
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}
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}
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public class ContinuousMonitoring
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{
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private readonly AIProjectClient? _projectClient;
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private readonly string _agentId;
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public ContinuousMonitoring(AIProjectClient? projectClient, string agentId)
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{
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_projectClient = projectClient;
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_agentId = agentId;
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}
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// <quality_monitoring>
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// NOTE: This code is a non-runnable snippet of the larger sample code from which it is taken.
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public Dictionary<string, object> SetupMonitoringSchedule()
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{
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Helpers.PrintInfo("Configuring monitoring schedule...");
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var config = new Dictionary<string, object>
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{
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["schedule"] = new Dictionary<string, object>
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{
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["hourly_checks"] = new Dictionary<string, object> { ["enabled"] = true },
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["daily_reports"] = new Dictionary<string, object> { ["enabled"] = true }
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},
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["alerts"] = new List<Dictionary<string, object>>
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{
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new() { ["name"] = "Quality Degradation", ["severity"] = "high" }
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}
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};
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return config;
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}
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// </quality_monitoring>
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public Dictionary<string, object> Run()
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{
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Helpers.PrintHeader("Continuous Monitoring Setup");
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var config = SetupMonitoringSchedule();
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Helpers.PrintMonitoringSummary(config);
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Helpers.SaveJson(config, "monitoring_schedule.json");
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return config;
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}
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}
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public class FleetGovernance
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{
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private readonly AIProjectClient? _projectClient;
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private readonly string _agentId;
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public FleetGovernance(AIProjectClient? projectClient, string agentId)
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{
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_projectClient = projectClient;
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_agentId = agentId;
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}
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// <compliance_reporting>
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// NOTE: This code is a non-runnable snippet of the larger sample code from which it is taken.
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public Dictionary<string, object> GenerateGovernanceReport()
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{
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Helpers.PrintInfo("Generating fleet governance report...");
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var random = new Random();
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var report = new Dictionary<string, object>
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{
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["statistics"] = new Dictionary<string, object>
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{
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["total_agents"] = random.Next(12, 18),
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["active_users"] = random.Next(120, 180),
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["compliance_rate"] = random.NextDouble() * 0.05 + 0.95
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},
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["recommendations"] = new List<string> { "All agents meet compliance standards" }
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};
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return report;
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}
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// </compliance_reporting>
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public Dictionary<string, object> Run()
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{
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Helpers.PrintHeader("Fleet-Wide Governance");
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var report = GenerateGovernanceReport();
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Helpers.PrintGovernanceSummary(report);
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Helpers.SaveJson(report, "governance_report.json");
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return report;
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}
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}
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public class CostOptimization
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{
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private readonly AIProjectClient? _projectClient;
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private readonly string _agentId;
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public CostOptimization(AIProjectClient? projectClient, string agentId)
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{
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_projectClient = projectClient;
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_agentId = agentId;
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}
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// <cost_analysis>
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// NOTE: This code is a non-runnable snippet of the larger sample code from which it is taken.
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public Dictionary<string, object> AnalyzeCosts()
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{
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Helpers.PrintInfo("Analyzing agent costs...");
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var random = new Random();
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var totalCost = random.NextDouble() * 700 + 2800;
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var report = new Dictionary<string, object>
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{
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["totals"] = new Dictionary<string, object>
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{
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["total_cost"] = totalCost,
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["period"] = "Last 30 days"
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},
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["projected_savings"] = totalCost * 0.3
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};
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return report;
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}
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// </cost_analysis>
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public Dictionary<string, object> Run()
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{
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Helpers.PrintHeader("Cost Monitoring & Optimization");
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var report = AnalyzeCosts();
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Helpers.PrintCostSummary(report);
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Helpers.SaveJson(report, "cost_report.json");
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return report;
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}
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}
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}

‎samples/microsoft/csharp/enterprise-agent-tutorial/3-production-to-adoption/FeedbackCollection.cs‎

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using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
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using Azure.AI.Projects;
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namespace Microsoft.Azure.Samples.ProductionToAdoption
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{
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public class FeedbackCollection
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{
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private readonly AIProjectClient? _projectClient;
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private readonly string _agentId;
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public FeedbackCollection(AIProjectClient? projectClient, string agentId)
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{
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_projectClient = projectClient;
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_agentId = agentId;
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}
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// <feedback_api>
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// NOTE: This code is a non-runnable snippet of the larger sample code from which it is taken.
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public List<Dictionary<string, object>> CollectFeedbackFromProduction(int days = 30)
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{
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Helpers.PrintInfo($"Collecting user feedback from last {days} days...");
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var random = new Random();
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var numFeedback = random.Next(700, 900);
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var feedbackList = new List<Dictionary<string, object>>();
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for (int i = 0; i < numFeedback; i++)
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{
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var rating = random.Next(100) < 87 ? "positive" : "negative";
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feedbackList.Add(new Dictionary<string, object>
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{
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["feedback_id"] = $"fb-{i:D6}",
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["conversation_id"] = $"conv-{random.Next(1000, 9999)}",
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["timestamp"] = DateTime.UtcNow.AddDays(-random.Next(0, days)).ToString("o"),
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["rating"] = rating,
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["feedback_text"] = rating == "positive" ? "Great response!" : "Could be better",
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["user_id"] = $"user{random.Next(1, 50)}@company.com"
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});
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}
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Helpers.PrintSuccess($"Collected {feedbackList.Count} feedback items");
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return feedbackList;
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}
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// </feedback_api>
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// <feedback_analysis>
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// NOTE: This code is a non-runnable snippet of the larger sample code from which it is taken.
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public Dictionary<string, object> AnalyzeFeedback(List<Dictionary<string, object>> feedbackList)
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{
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Helpers.PrintInfo("Analyzing user feedback...");
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var total = feedbackList.Count;
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var positive = feedbackList.Count(f => (string)f["rating"] == "positive");
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var negative = total - positive;
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var analysis = new Dictionary<string, object>
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{
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["statistics"] = new Dictionary<string, object>
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{
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["total_feedback"] = total,
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["positive_count"] = positive,
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["negative_count"] = negative,
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["satisfaction_rate"] = (double)positive / total
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},
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["recommendations"] = new List<string>
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{
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positive > negative ? "Maintain current quality" : "Address user concerns"
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}
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};
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return analysis;
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}
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// </feedback_analysis>
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public Dictionary<string, object> Run()
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{
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Helpers.PrintHeader("Human Feedback Collection & Analysis");
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var feedback = CollectFeedbackFromProduction();
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var analysis = AnalyzeFeedback(feedback);
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Helpers.PrintFeedbackSummary(analysis);
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Helpers.SaveJson(analysis, "feedback_summary.json");
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return analysis;
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}
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}
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}

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