Skip to main content

Framework for large language model evaluations

Project description

Welcome to Inspect, a framework for large language model evaluations created by the UK AI Security Institute.

Inspect provides many built-in components, including facilities for prompt engineering, tool usage, multi-turn dialog, and model graded evaluations. Extensions to Inspect (e.g. to support new elicitation and scoring techniques) can be provided by other Python packages.

To get started with Inspect, please see the documentation at https://inspect.aisi.org.uk/.

Inspect also includes a collection of over 100 pre-built evaluations ready to run on any model (learn more at Inspect Evals)


To work on development of Inspect, clone the repository and install with the -e flag and [dev] optional dependencies:

git clone https://github.com/UKGovernmentBEIS/inspect_ai.git
cd inspect_ai
pip install -e ".[dev]"

Optionally install pre-commit hooks via

make hooks

Run linting, formatting, and tests via

make check
make test

If you use VS Code, you should be sure to have installed the recommended extensions (Python, Ruff, and MyPy). Note that you'll be prompted to install these when you open the project in VS Code.

Frontend development (TypeScript)

The web UI lives in a git submodule at src/inspect_ai/_view/ts-mono/. These steps are only needed if you plan to work on the TypeScript/React frontend — Python-only contributors can skip this entirely.

Initialize the submodule and install dependencies — see the one-time setup guide.

Documentation

To work on the Inspect documentation, install the optional [doc] dependencies with the -e flag and build the docs:

pip install -e ".[doc]"
cd docs
quarto render # or 'quarto preview'

If you intend to work on the docs iteratively, you'll want to install the Quarto extension in VS Code.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

inspect_ai-0.3.204.tar.gz (44.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

inspect_ai-0.3.204-py3-none-any.whl (35.4 MB view details)

Uploaded Python 3

File details

Details for the file inspect_ai-0.3.204.tar.gz.

File metadata

  • Download URL: inspect_ai-0.3.204.tar.gz
  • Upload date:
  • Size: 44.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for inspect_ai-0.3.204.tar.gz
Algorithm Hash digest
SHA256 8ee6e5752a18b98c07811bf31b15f252a27a0c4c3a76cddc733583ef84be6a59
MD5 1b8a2c9d587924045d8e60543d6b1234
BLAKE2b-256 079b543f97f4cb0e747ba3c3f9a428acbe4b1fbce4d355c7c2b4bcb239706f19

See more details on using hashes here.

File details

Details for the file inspect_ai-0.3.204-py3-none-any.whl.

File metadata

  • Download URL: inspect_ai-0.3.204-py3-none-any.whl
  • Upload date:
  • Size: 35.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for inspect_ai-0.3.204-py3-none-any.whl
Algorithm Hash digest
SHA256 470ec6832e9de4cb54fafdcfa89e9c3045d31cd502c2afba7fe87b1bf4364f88
MD5 ae91563b687801b23ff539b1e1a77890
BLAKE2b-256 4e83f93f8794cf9907a99c072b3b3d977df9aeab539bbb939d814928d18773e8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page