Measure Agent Quality and Safety with Azure AI Evaluation SDK and Azure AI Foundry

Part 5 of the project marks a significant milestone by transforming the system into an engineering-grade evaluation framework. This transition enables several critical capabilities that are essential for maintaining high-quality, safe, and reliable AI systems in production environments. Here's a detailed breakdown of why Part 5 is crucial:

Key Features Introduced in Part 5

1. Evaluation Framework Integration:

   • The project now integrates with Azure OpenAI’s evaluation framework, allowing for comprehensive assessment of the system's performance.
   • This includes both built-in evaluators and custom evaluators tailored to specific needs.

2. Red Team Scanning:

   • Red team scanning is introduced to assess the system's resilience against adversarial attacks and ensure that it adheres to safety standards.
   • The red team scan provides actionable insights into potential vulnerabilities, helping to improve security measures continuously.

3. Traceability and Monitoring:

   • Integration with Application Insights and OpenTelemetry (OTel) ensures that every run is traceable from query to metric.
   • This level of detail helps in quickly identifying and resolving issues when they arise, enhancing the system's reliability.

4. Release-Gate Evidence:

   • The project now produces evidence that can be

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