Mastra Debugging, Evaluation & Quality Assurance for AI Agents Training Course

Foundations of Mastra Debugging and Evaluation for Government

• Understanding agent behavior models and failure modes in government applications
• Core debugging principles within Mastra for government use
• Evaluating deterministic and non-deterministic agent actions for government operations

Setting Up Environments for Agent Testing for Government

• Configuring test sandboxes and isolated evaluation spaces for government systems
• Capturing logs, traces, and telemetry for detailed analysis in government contexts
• Preparing datasets and prompts for structured testing in government agencies

Debugging AI Agent Behavior for Government

• Tracing decision paths and internal reasoning signals in government applications
• Identifying hallucinations, errors, and unintended behaviors in government systems
• Using observability dashboards for root-cause investigation in government operations

Evaluation Metrics and Benchmarking Frameworks for Government

• Defining quantitative and qualitative evaluation metrics for government use
• Measuring accuracy, consistency, and contextual compliance in government applications
• Applying benchmark datasets for repeatable assessment in government systems

Reliability Engineering for AI Agents in Government

• Designing reliability tests for long-running agents in government operations
• Detecting drift and degradation in agent performance in government systems
• Implementing safeguards for critical workflows in government applications

Quality Assurance Processes and Automation for Government

• Building QA pipelines for continuous evaluation in government operations
• Automating regression tests for agent updates in government systems
• Integrating QA with CI/CD and enterprise workflows for government use

Advanced Techniques for Hallucination Reduction in Government

• Prompting strategies to reduce undesired outputs in government applications
• Validation loops and self-check mechanisms for government systems
• Experimenting with model combinations to improve reliability in government operations

Reporting, Monitoring, and Continuous Improvement for Government

• Developing QA reports and agent scorecards for government use
• Monitoring long-term behavior and error patterns in government systems
• Iterating on evaluation frameworks for evolving systems in government operations

Summary and Next Steps for Government