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Inspect Toolkit

Reusable building blocks for Inspect AI evaluations: metrics, scorers, solvers, tools, dataset sources, and sandbox helpers that are useful to anyone using Inspect, independent of any particular config system or agent framework.

Features include:

  • Metrics for score distributions, threshold accuracy, and AI control safety and usefulness, usable with any scorer
  • Scorers for running a repository's tests, searching sandbox files, checking sandbox state and asserting on database changes
  • Solvers for repo setup, test running, snapshots, code and database diffs, and eval export/import
  • Tools that defer construction until task state exists, and that let an agent score itself mid-trajectory
  • Pluggable local and GitHub dataset sources with sparse-checkout caching
  • A FixtureManager and a ready-to-use default Docker sandbox with composable features
  • SQLite diffing with a MongoDB-like selector language for asserting on database changes

It depends only on inspect-ai, numpy and pyyaml (plus gitpython, used by the git-diff helpers vendored from Control Arena), and was extracted from the refactor-arena evaluation setting.

Documentation

Full documentation, including a user guide and API reference, is available at fastfedora.github.io/inspect-toolkit.

Install

pip install inspect-toolkit

Requires Python 3.12+.

Quick Start

Everything is a plain Inspect component: pass the metrics to any @scorer, and drop the scorers, solvers and tools into a Task.

from inspect_ai.scorer import mean, scorer, stderr
from inspect_toolkit.metrics import percentile, threshold_accuracy
from inspect_toolkit.scorers import test_runner_scorer

@scorer(metrics=[mean(), stderr(), percentile(target=95), threshold_accuracy(threshold=80)])
def my_scorer():
    ...

tests = test_runner_scorer("percent-pass")   # run the repo's test suite in the sandbox

See the documentation for the full guide and API reference.

Development

uv sync
just test      # run the test suite
just lint      # ruff + pyright
just docs      # preview the docs (Quarto)

License

MIT License. See LICENSE.

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