Individual skill

agentsop-llm-artifact-versioning

Enhancement overlay — version the WHOLE deployable LLM-app artifact as one bundle: prompts + compiled programs + model snapshot pins + retrieval config + eval-set version, versioned together so a deploy is reproducible and rollback is atomic. Activate when preparing to deploy an LLM app, when asking "what exactly is running in prod right now?", when a deploy must be reproducible months later, or when an incident needs a clean rollback. The core reframe: an LLM app artifact is NOT an ML model — it is a manifest over many independently-mutable parts, not one weights file. Do NOT activate for one-off prompt edits with no deploy, for a single-component demo, or where a vendor owns the whole prompt lifecycle. For versioning ONE compiled prompt use [[agentsop-per-model-artifacts]]; for the CI comparison mechanism use [[agentsop-regression-gate]]. Search keywords: prompt versioning, reproducible deploy, what is running in prod, rollback LLM app, model pinning, prompt registry, version prompts and config.

skills/agentsop-llm-artifact-versioning/SKILL.md

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# Versioned, Reproducible LLM Artifact — Overlay SOP

> *"Prompts are effectively the weights of an LLM application."*
> — DSPy core philosophy [arxiv.org/abs/2310.03714] (R1 §1)
>
> *"Treat the compiled program as a (program × LM) pair. Changing the LM invalidates the
> artifact — recompile."*
> — dspy-sop SKILL, Dilemma Case B (R1 §2)

This is an **enhancement overlay**, not a framework SOP. It sits on top of whatever stack you
use (DSPy, LangChain, raw API) and adds one discipline: **define, pin, and version the entire
deployable bundle as a unit.** It is the broad sibling of [[agentsop-per-model-artifacts]] — that skill
versions one compiled prompt; this one versions everything that ships together.
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