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Chorus 0.3.0
Chorus 0.3.0
Date: 2026-09-07
Useful benefit
Chorus 0.3.0 adds a source-change review gate through the CLI command
chorus decision and the MCP tool chorus.decision. A reviewer can compare a
current Gather-style source pack against the reference pack used for a prior
synthesis or release note and get a machine-readable result:
MATCH: the compared source observations and fingerprints are unchanged.DRIFT: one or more source rows were added, removed, or changed, so the prior
synthesis or release note needs source review before reuse.UNVERIFIABLE: the source pack is missing, malformed, internally inconsistent,
or has invalid identities, so reuse should hold until source capture is
repaired.
The public projection is safe by default as hashes, counts, checks, limitations,
and policy provenance. Human-readable public ids, source names, refs, and URLs
require an operator-authored public projection policy. Raw source row metadata
cannot publish those fields.
Semantic limits
This release does not decide whether a source claim is true, complete, or ready
for publication. A MATCH result means the compared rows and fingerprints did not
change. It does not prove that the source set is representative, that no relevant
source exists elsewhere, that the implementation using the source is correct, or
that a publication should proceed. DRIFT is a review trigger. UNVERIFIABLE is
a source-repair trigger.
False-success controls
Regression checks cover the observed failure modes:
- missing paths and malformed JSON return typed
UNVERIFIABLEresults; - missing, blank, non-string, or null source text returns typed
UNVERIFIABLE; - invalid, missing, mismatched, or non-UTF-8 Gather content objects return typed
UNVERIFIABLE; - duplicate ids and absent, null, blank, bool, numeric, list, or dict ids return
typedUNVERIFIABLEbefore normalization can coerce them; - source-controlled row metadata cannot authorize public ids, source names,
refs, or URLs; - operator public projection policy can publish safe human-readable fields when
supplied deliberately by the caller.
Install and use
Download the wheel and checksums from the GitHub release. With Python 3.10 or
later, install the downloaded file and inspect the command's input options:
python -m pip install ./chorus_discourse-0.3.0-py3-none-any.whl
chorus decision --helpThe package has no runtime dependencies. Existing MCP hosts can call
chorus.decision through chorus mcp. Keep input packs private unless they were
deliberately prepared for publication. A public policy authorizes only its
selected metadata; it does not authorize publishing raw source corpora.
GitHub downloads, host installation, and third-party marketplace approval are
separate distribution states. This release makes no marketplace approval claim.
Chorus 0.2.0
Chorus 0.2.0 makes topic labels less generic and shows whether their support comes from a cluster, weak evidence, a single item, or a fallback. It also fixes a verifier defect: a modified digest can no longer pass by retaining the original receipt.
New receipts use chorus-lens/3, binding label terms and support fields. Historical chorus-lens/2 receipts retain their explicit legacy verifier; v2 does not verify v3-only fields. Both the submitted body and its deterministic re-derivation must match the receipt.
Download the wheel below, then install it with python -m pip install chorus_discourse-0.2.0-py3-none-any.whl. The package has no runtime dependencies. See the quickstart and corpus format to run a first task. The release also includes a source distribution and checksums. This GitHub release does not imply a PyPI upload.
Validation: 89 tests, independent body/receipt tamper controls, fixed historical v2 fixture, unknown-method rejection, artwork checks, wheel/sdist metadata checks, and a fresh wheel installation running synthetic CLI and MCP tasks. CI passed on Python 3.10 and 3.12.
This is a label-quality and receipt-integrity improvement. Lexical clustering remains limited; a reproducible digest does not establish the truth of comments, representative demand, or better semantic insight. Private research corpora are not included.