Agentic Testing

RagaAI Agentic Testing Overview

Agentic applications, which are dynamic systems capable of decision-making and task execution, often present challenges in testing, debugging, and optimization due to their complex interactions and unpredictable behaviors. RagaAI Agentic Testing addresses these challenges by offering a comprehensive platform to evaluate, analyze, and improve the performance of such applications.

Key Capabilities

1. Experiment Management:

   • Upload and manage application inputs as experiments.

   • Enable iterative testing by running multiple experiments simultaneously.

2. Trace Generation & Analysis:

   • Automatically generate detailed traces for each experiment, capturing every decision point, task execution, and outcome.

   • View actionable insights through an intuitive analysis dashboard.

3. Custom & Default Metrics:

   • Leverage RagaAI’s default metrics for rapid evaluation.

   • Define and apply custom evaluation metrics tailored to your application’s unique requirements.

4. Experiment Comparison:

   • Compare multiple experiments to identify trends, inconsistencies, and performance bottlenecks.

   • Perform versioning to track changes and analyse how different code versions impact performance.

5. Deeper Experiment Analysis:

   • Drill down into granular experiment details to uncover root causes of performance issues.

   • View code diffs directly to identify modifications that influence results.

6. Automatic Code Versioning:

   • Maintain a history of code changes linked to specific experiments, enabling seamless tracking of updates over time.

   • Automatically detect and document code differences between versions, providing insights into how modifications impact experiment performance.

ROI and Problem-Solving

1. Accelerated Debugging:

   • Pinpoint issues quickly by analysing experiment traces and code diffs, reducing the time spent on troubleshooting.

   • Make informed decisions about agentic behavior optimisations with clear, actionable insights.

2. Performance Optimisation:

   • Test various application configurations and monitor the impact of changes, ensuring continuous improvement.

   • Evaluate your application against industry-leading metrics, maintaining a competitive edge.

3. Streamlined Iterations:

   • Track experiment results over time and across versions, enabling seamless comparisons and efficient iteration.

   • Avoid regressions by understanding how code changes affect outcomes before deployment.

4. Scalability:

   • Handle complex workflows with ease, whether testing a single application or multiple agents across diverse scenarios.

   • Integrate seamlessly into your development pipeline, scaling your testing efforts as your applications evolve.

Why RagaAI Agentic Testing?

• Focus on Precision: Gain unparalleled visibility into agentic behaviors and outcomes.

• Enhanced Collaboration: Empower teams with tools to share insights, experiments, and progress.

• Better Decision-Making: Access data-driven recommendations for refining agent strategies and application logic.