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Course Outline
Foundations of Mastra Debugging and Evaluation
- Understanding agent behavior models and failure modes.
- Core debugging principles within Mastra.
- Evaluating both deterministic and non-deterministic agent actions.
Setting Up Environments for Agent Testing
- Configuring test sandboxes and isolated evaluation spaces.
- Capturing logs, traces, and telemetry for detailed analysis.
- Preparing datasets and prompts for structured testing.
Debugging AI Agent Behavior
- Tracing decision paths and internal reasoning signals.
- Identifying hallucinations, errors, and unintended behaviors.
- Using observability dashboards for root-cause investigation.
Evaluation Metrics and Benchmarking Frameworks
- Defining quantitative and qualitative evaluation metrics.
- Measuring accuracy, consistency, and contextual compliance.
- Applying benchmark datasets for repeatable assessment.
Reliability Engineering for AI Agents
- Designing reliability tests for long-running agents.
- Detecting drift and degradation in agent performance.
- Implementing safeguards for critical workflows.
Quality Assurance Processes and Automation
- Building QA pipelines for continuous evaluation.
- Automating regression tests for agent updates.
- Integrating QA with CI/CD and enterprise workflows.
Advanced Techniques for Hallucination Reduction
- Prompting strategies to reduce undesired outputs.
- Validation loops and self-check mechanisms.
- Experimenting with model combinations to improve reliability.
Reporting, Monitoring, and Continuous Improvement
- Developing QA reports and agent scorecards.
- Monitoring long-term behavior and error patterns.
- Iterating on evaluation frameworks for evolving systems.
Summary and Next Steps
Requirements
- A foundational understanding of AI agent behavior and model interactions.
- Experience in debugging or testing complex software systems.
- Familiarity with observability or logging tools.
Target Audience
- QA engineers.
- AI reliability engineers.
- Developers responsible for agent quality and performance.
21 Hours
