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Operations

Open this section when you need to run reasoning work repeatably: install it, reproduce claim behavior, diagnose provenance or verification drift, release it, or recover from failure with evidence instead of guesswork.

Operating Loop

flowchart LR
    setup["setup"]
    run["run reasoning step"]
    inspect["inspect claims and checks"]
    recover["recover from drift"]
    release["release package"]
    proof["tests and artifacts"]

    setup --> run --> inspect --> recover --> release
    run --> proof
    inspect --> proof

Reason operations should make interpretive behavior reproducible enough to audit. A maintainer needs a clear path to run the package, inspect the emitted claims and checks, and recover from provenance or verification drift without guessing which layer changed.

Read These First

Operational Risk

The main operational risk here is making reasoning behavior look inspectable while the actual reproduction path depends on undocumented setup or recovery steps.

First Proof Check

  • pyproject.toml, README.md, and package-local entrypoints for checked-in operating truth
  • tests and runnable workflows for evidence that the package can be operated repeatably
  • release notes and version metadata when the work changes caller expectations

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Leave This Section When

  • leave for Interfaces when the live problem is contract shape rather than package operation
  • leave for Architecture when a workflow problem exposes structural drift underneath it
  • leave for Quality when the package runs but the real question is whether the evidence is strong enough

Design Pressure

If a reasoning drift incident can only be understood by memory or ad hoc inspection, the operating story is still too weak. This section has to make claim reproduction and recovery observable from checked-in practice.