TECHNOLOGY PROFILE · TECH-0118
Inspect AI
Evaluation framework for language models and agents.
Official page located/opened — partial review. This profile preserves the prepared catalog’s original descriptions. Advantages depend on the workload; comparisons are editorial, not benchmark results.
Where it has an edge
Composable tasks, solvers, scorers and sandbox integrations suit custom agent evaluations beyond static QA.
Best-fit problems
Safety research, tool-use evaluations and reproducible task suites.
Tradeoffs & cautions
Scorer validity and sandbox configuration require independent checks.
What to test before choosing
Calibrate scorers on human-labeled cases; fix versions, sampling settings and confidence intervals before comparing.
Runtime & hardware
Local or evaluation workers
Access & licensing
Open-source cores; model/API evaluation costs separate
Execution
Local / self-hosted
Lifecycle
Not independently audited
Comparison basis
Editorial problem-fit judgement; no head-to-head benchmark performed
Connected concepts
Alternatives to investigate
lm-evaluation-harness · promptfoo · DeepEval