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Sovereign AI Stack integration types (spec §9) Sovereign AI Stack Integration (spec §9)
Defines integration types for the broader Pragmatic AI Labs Sovereign AI Stack.
The .apr format is standalone but interoperates with sibling tools:
- alimentar (“to feed”): Data loading and transformation (
.aldformat) - pacha: Model registry with versioning and lineage
- realizar (“to accomplish”): Pure Rust inference engine
- presentar: WASM visualization and playgrounds
- batuta: Orchestration and oracle mode
§Architecture
alimentar → aprender → pacha → realizar
↓ ↓ ↓ ↓
presentar (WASM viz)
↓
batuta (orchestration)§Design Principles
- Pure Rust: Zero cloud dependencies
- Format Independence: Each tool has its own binary format
- Toyota Way: Jidoka, Muda elimination, Kaizen
Structs§
- Component
Health - Individual component health
- Format
Compatibility - Format compatibility information
- Inference
Config - Realizar inference endpoint configuration (spec §9.4.1)
- Model
Version - Pacha model version entry
- Stack
Health - Stack health status
Enums§
- Derivation
Type - Model derivation types tracked by Pacha (spec §9.3.2)
- Health
Status - Health status levels
- Model
Stage - Pacha registry stage for model lifecycle (spec §9.3.1)
- Quantization
Type - Quantization types for model compression
- Stack
Component - Stack component identifiers