Inference Operations
Assessment identity
Section titled “Assessment identity”- Repository:
kinra-ai/inference-ops - Revision:
f6d68351aea8dfc811a1153169b93739c9d0dd51 - Assessment date: 2026-08-09
- Evidence class: bounded maintainer attestation; topology and operational metadata remain private
Domain
Section titled “Domain”The repository records the selected composition, validation, history, and reversal of a local inference fleet.
Mechanisms observed
Section titled “Mechanisms observed”- a typed
current.tomlselects the active profiles and a narrow set of properties worth checking; - fuller immutable Markdown profiles retain provenance, topology, measurements, validation, and rollback;
- a human index, typed selection, and full profiles must agree;
- an offline governed reader checks repository coherence without fetching or mutating;
- an optional live read compares declared services, artifacts, and secret-free endpoint contracts with observations;
- every check carries expected, observed, status, source, and operational meaning;
match,mismatch, andunknownremain distinct; and- an unreachable system is not normalized to an expected state.
What it paid to teach
Section titled “What it paid to teach”Current truth need not duplicate the complete journal. A small executable projection can select what matters now while richer immutable records retain the evidence and reversal context.
It also established the observation semantics in TM-OBS-005 through
TM-OBS-009: the reader must not repair the state it measures, and absence of
an observation is not evidence of match or mismatch.
Limits
Section titled “Limits”This implementation is a fleet-specific truth machine, not a generic reconciliation or mutation system. Its sole-operator policy, TOML schema, service checks, and deployment profile structure are not portable requirements. It provides strong evidence for governed reads and current projection, not by itself for every publication requirement.