Evaluation Tooling
Frameworks, platforms, and infrastructure for evaluation.
CI/CD Integration for Agent Evaluation
Integrating agent evaluations into CI/CD pipelines transforms evaluation from an occasional manual activity into an automated quality gate that catches regressions before they reach production.
Custom Evaluator Development
When generic evaluation frameworks cannot capture domain-specific quality signals, teams must build custom evaluators – scoring functions, composite metrics, and domain-aware assessment tools – treated with the same engineering rigor as production code.
Evaluation Dataset Management
Effective evaluation requires disciplined dataset management – building representative tasks, curating for quality, versioning for reproducibility, and preventing contamination to ensure results remain meaningful.
Evaluation Result Analysis and Visualization
Evaluation results only drive improvement when they are analyzed for actionable patterns and visualized in ways that communicate clearly to developers, managers, and stakeholders.
Inspect AI and Open-Source Evaluation Frameworks
Inspect AI is the leading open-source agent evaluation framework, built by the UK AI Safety Institute, providing a composable architecture of Tasks, Solvers, Scorers, and Datasets for rigorous and reproducible agent assessment.
Observability Platforms for Evaluation
Observability platforms combine tracing, logging, and evaluation capabilities into unified systems that let teams debug agent behavior in development and extract evaluation datasets from production.
Sandboxed Evaluation Environments
Sandboxed environments provide the reproducible, isolated, and realistic execution contexts that agent evaluations require, ensuring that every evaluation run starts from an identical state and that agent actions cannot affect other evaluations or production systems.