Skip to main content

Evaluation context (FLOWHARNESS_SPEC.md §6.6) — eval suites, golden-set corpus, signed eval runs, the gate service

Project description

flowharness-evaluation

Evaluation bounded context — owns eval suites, golden-set corpus, signed eval runs, gate policies, and the gate service (verdict + scoring logic). Provides the domain layer for evaluating AI surfaces against a committed test suite, applying gate policies, and producing signed evaluation reports.

This is an internal library package of the FlowHarness toolchain, published to PyPI as a transitive dependency of flowharness (the scan CLI) and flowharness-ci-runner. Install those packages instead of depending on flowharness-evaluation directly.

Note: this package currently installs a top-level module named evaluation. Prefer uvx (isolated environments) over pip install into a shared venv until the 0.2 module-namespace rename lands.

License: Apache-2.0
Homepage: https://github.com/flowharness-ai

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

flowharness_evaluation-0.1.0-py3-none-any.whl (16.7 kB view details)

Uploaded Python 3

File details

Details for the file flowharness_evaluation-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: flowharness_evaluation-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 16.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.12.0 {"installer":{"name":"uv","version":"0.12.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for flowharness_evaluation-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1d95b36c97f086b3c75282a2f381a3f232776ca4f1311448cbefcb762572ea2b
MD5 b3603675158c0d38336d1fb9acae7536
BLAKE2b-256 3ae8d9f7ff937d0b0610f5cd078eb6dd6a479340907e29b796b317181f6f82da

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