Changelog — AI Product Deployment Specification (AIPDS)
This document records the history of changes to the AIPDS specification.
Each version is tagged, dated, and described with key updates.
Version 0.1 (Draft) — 2025-09-21
- Initial release of AIPDS structure.
- Added overview of deployment specification.
- Defined Deployment Targets (cloud, on-prem, edge, hybrid, agent runtime).
- Specified Packaging & Interfaces (API, container, SDK, model package).
- Introduced Inference, Serving & Scaling requirements.
- Documented Monitoring & Observability signals.
- Added Retraining & Continuous Learning lifecycle requirements.
- Defined Security & Access Controls (auth, entitlements, quotas, abuse detection).
- Added Governance & Compliance alignment (risk classification, policies, ethical safeguards).
- Introduced Economic & Resource Model (compute, cost, sustainability).
- Defined Integration & Composability for workflows and ecosystems.
- Established Versioning & Lifecycle states (Experimental → Retired).
- Added Reference Templates for LLMs, vision models, and agents.
- Created Examples to illustrate AIPDS in practice.
- Published Glossary of deployment-specific terms.
Planned for Version 0.2
- Add extension mechanisms for domain-specific deployment needs.
- Introduce compliance mapping tables (AI Act, NIST AI RMF, ISO/IEC 42001).
- Expand templates to cover multi-agent ecosystems and generative design tools.
- Provide machine-readable bindings (JSON Schema, SHACL).
Versioning Notes
- AIPDS follows semantic versioning:
- Major → structural or backward-incompatible changes.
- Minor → new fields, sections, or clarifications.
- Patch → corrections, editorial fixes, or metadata updates.