Skip to main content

evidentia-eval

Dev-time AI-output quality eval harness for Evidentia.

Hosts the DFAH (Decision-Faithfulness Assessment Harness) — the auditor-defensible numerical proof layer that validates LLM-driven artifact production is deterministic, replay- equivalent, and faithful to its source policy clauses.

Why this package exists (v0.10.5 P9 extraction)

The DFAH harness was originally bundled into evidentia-ai (the risk-statement generator + control explainer package). That conflated two very different deployment surfaces:

  • evidentia-ai — PRODUCTION runtime. Needed in air-gap installs to actually generate risk statements.
  • evidentia-eval — DEVELOPMENT-time evaluation. NOT needed in air-gap installs; only fires when a CI pipeline runs a determinism / faithfulness gate before tagging a release.

Extracting the eval harness lets air-gap installs of evidentia-ai skip the optional sentence-transformers stack entirely (it now lives behind evidentia-eval[faithfulness-semantic] instead of evidentia-ai[eval-faithfulness]).

Quick start

# Stdlib Jaccard baseline (no extra needed; <10 MB install)
pip install evidentia-eval

# Optional semantic-similarity faithfulness (~250 MB extra
# for sentence-transformers + numpy + model cache on first use)
pip install 'evidentia-eval[faithfulness-semantic]'

CLI verbs:

# Smoke test against a deterministic stub generator (no LLM
# tokens burned)
evidentia eval stub-smoke

# Real-LLM determinism gate against the risk-statement generator
evidentia eval risk-determinism --gap-report gaps.json \
    --system-context ctx.yaml \
    --fail-on-determinism-rate-below 0.95

# Verify a previously-signed eval bundle
evidentia eval verify path/to/eval-output.json

The CLI verbs live in evidentia.cli.eval (the meta-package); this package contributes the underlying library.

Public API

Symbol Purpose
DFAHarness Owns the run loop + audit emit
EvalResult Top-level harness output (JSON-serializable, Sigstore-signable)
EvalSample One prompt's inputs (immutable; audit-trail-stable)
DeterminismResult Per-prompt determinism outcome
ReplayResult Per-prompt replay-equivalence outcome
FaithfulnessResult Per-claim faithfulness outcome
PromptFaithfulnessResult Aggregated per-prompt faithfulness
faithfulness_score Stdlib Jaccard token-overlap baseline
faithfulness_score_semantic Sentence-transformers path (optional extra)
determinism_score Computes the modal-output pass rate
replay_equivalent Binary replay-equivalence check
extract_claims Atomic-claim extraction from generated artifacts
normalize_for_determinism Canonical whitespace + punctuation normalization
hash_output SHA-256 hex of normalized output
sign_eval_result Sigstore-sign an EvalResult JSON
verify_eval_result Verify a previously-signed eval bundle

Migrating from evidentia_ai.eval

The v0.10.5 P9 extraction left evidentia_ai.eval.* in place as re-export shims that warned once at import time. They were removed in v0.12.0 as announced, together with the unconditional evidentia-eval dependency on evidentia-ai. Replace every from evidentia_ai.eval import X with from evidentia_eval import X — same symbols, same signatures.

The evidentia-ai[eval-faithfulness] install extra still works; only the import path is gone.

License

Apache-2.0. See the workspace root LICENSE file.

Metadata

Release files for evidentia-eval 0.13.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for evidentia-eval 0.13.0
File Size Uploaded Provenance Actions
evidentia_eval-0.13.0.tar.gz 30.7 kB With provenance Details for evidentia_eval-0.13.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for evidentia-eval 0.13.0
File Interpreter ABI Platform Actions
evidentia_eval-0.13.0-py3-none-any.whl Python 3 none any Details for evidentia_eval-0.13.0-py3-none-any.whl

Total release size: 64.9 kB

Release files / evidentia_eval-0.13.0.tar.gz

Download URL evidentia_eval-0.13.0.tar.gz
Size 30.7 kB
Tags Source
SHA-256 checksum
How to use checksums
796eb7c8a9fdae1ab5253eaafcc4b9d0e76b1c732f1b6807ba27039b5ececc26
BLAKE2b-256 checksum
How to use checksums
a27f53c306b70255ccc442720015ed1b15d6041d5257b9a76688be843261d6aa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.

Transparency log

Release files / evidentia_eval-0.13.0-py3-none-any.whl

Download URL evidentia_eval-0.13.0-py3-none-any.whl
Size 34.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d23c0890d12d6f90cd654938ed9c30e6adcd7377d4779a57be5ea633661d3dd1
BLAKE2b-256 checksum
How to use checksums
1420d3b01f316cb878093eb430c7cc2e1787a6f183a917e5faa21453200fe9af
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.

Transparency log

Security for evidentia-eval 0.13.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for evidentia_eval-0.13.0.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page