cleveragents-core/docs/reference/uko_runtime.md

UKO Runtime Services

This document covers the three runtime services that operationalize the Universal Knowledge Ontology (UKO) within the ACMS context pipeline. These services were introduced in v3.7.0 (issue #891) and implement the runtime requirements from docs/specification.md §185, §20568, §43924.

For the ontology structure itself, see uko.md. For the indexer that populates the graph, see uko_indexer.md.

Overview

The three runtime services work together as follows:

UKOIndexer.index_graph()
    │
    ├── UKOInferenceEngine.infer()   ← adds implicit triples (confidence 0.7)
    │
    └── GraphIndexBackend            ← stores all triples (explicit + implicit)
              │
              ├── UKOQueryInterface  ← ACMS context strategies query here
              │
              └── UKOGraphPersistence ← serialise/restore across restarts

---

UKOQueryInterface

Module: cleveragents.application.services.uko_query_interface

Provides ACMS context strategies with a typed interface to the UKO knowledge graph. Strategies use this to discover resource types, ontology layers, and implicit relationships without constructing raw SPARQL queries.

Constructor

Parameter	Type	Required	Description
graph_backend	GraphIndexBackend	Yes	Graph index backend to query
project	str	Yes	Namespaced project name (e.g. "local/my-app")

Raises TypeError if graph_backend does not satisfy GraphIndexBackend. Raises ValueError if project is empty or whitespace-only.

ClassificationResult

Frozen dataclass returned by classify_resource().

Field	Type	Description
resource_id	str	ULID of the classified resource
layer	int	Highest UKO layer populated for this resource (0–3)
primary_type	str	Primary UKO type URI (e.g. uko-py:Module)
all_types	tuple[str, ...]	All UKO type URIs found for this resource
implicit_relations	tuple[tuple[str, str, str], ...]	Inferred (subject, predicate, object) triples

Layer constants:

Constant	Value	Description
LAYER_UNIVERSAL	0	Foundation concepts
LAYER_DOMAIN	1	Software, documents, data schemas, infrastructure
LAYER_PARADIGM	2	OO, functional, procedural, markdown
LAYER_TECHNOLOGY	3	Python, TypeScript, Rust, Java, PostgreSQL

Methods

classify_resource(resource_id: str) → ClassificationResult

Queries the graph backend for all triples associated with the given resource and extracts type, layer, and relationship data.

Returns a default ClassificationResult (layer 0, no types) if the resource has not been indexed. Raises ValueError if resource_id is empty.

get_resources_by_layer(layer: int) → list[str]

Returns resource ULIDs classified at the given ontology layer (0–3). Raises ValueError if layer is outside 0–3.

get_implicit_relations(resource_id: str) → list[tuple[str, str, str]]

Returns implicit relationships inferred for a resource as a list of (subject, predicate, object) tuples. Raises ValueError if resource_id is empty.

Usage Example

from cleveragents.application.services.uko_query_interface import (
    UKOQueryInterface,
    LAYER_TECHNOLOGY,
)

query = UKOQueryInterface(graph_backend=backend, project="local/my-app")

# Classify a resource
result = query.classify_resource("01HXYZ...")
print(result.layer)          # e.g. 3 (Technology)
print(result.primary_type)   # e.g. "uko-py:Module"
print(result.all_types)      # all UKO type URIs

# Find all Python-layer resources
python_resources = query.get_resources_by_layer(LAYER_TECHNOLOGY)

# Get inferred relationships
relations = query.get_implicit_relations("01HXYZ...")
for subject, predicate, obj in relations:
    print(f"{subject} --[{predicate}]--> {obj}")

---

UKOInferenceEngine

Module: cleveragents.application.services.uko_inference

Analyses UKO triples produced by domain analyzers and generates additional triples representing inferred semantic relationships. Inferred triples are stored with a confidence score of 0.7 to distinguish them from deterministic extractions.

Three inference patterns are applied:

Pattern	Predicate	Condition
Co-occurrence	uko:implicitSiblingOf	Two subjects share the same rdf:type
Containment	uko:implicitContains	Subject URI is a prefix of another subject's URI
Dependency	uko:implicitDependsOn	Subject references another subject's URI in its object values

Methods

infer(triples: Sequence[UKOTriple]) → list[UKOTriple]

Analyses the provided triples and returns a list of inferred implicit triples. The returned triples have confidence=0.7.

Integration with UKOIndexer

UKOIndexer.index_graph() automatically calls UKOInferenceEngine.infer() after the domain analyzer produces triples, then stores both the original and inferred triples in the graph backend.

from cleveragents.application.services.uko_inference import UKOInferenceEngine

engine = UKOInferenceEngine()
implicit_triples = engine.infer(original_triples)
# implicit_triples[0].confidence == 0.7

---

UKOGraphPersistence

Module: cleveragents.application.services.uko_persistence

Serialises the in-memory UKO graph (triples stored in a GraphIndexBackend) to a JSON file and restores it on application restart. This satisfies the acceptance criterion: "UKO data persists across application restarts."

Persistence Format

{
    "version": "1",
    "project": "local/my-app",
    "triples": [
        {"subject": "...", "predicate": "...", "object": "..."}
    ]
}

UKOPersistenceBackend Protocol

Custom persistence backends must implement:

class UKOPersistenceBackend(Protocol):
    def save(self, data: dict[str, object]) -> None: ...
    def load(self) -> dict[str, object] | None: ...

The default implementation writes to a JSON file. An in-memory backend is provided for testing.

UKOGraphPersistence

Parameter	Type	Required	Description
graph_backend	GraphIndexBackend	Yes	Backend holding the live graph
project	str	Yes	Namespaced project name
backend	UKOPersistenceBackend | None	No	Persistence backend (default: JSON file)
persist_path	Path | None	No	Path for the JSON file backend

save() → None

Serialises all triples from the graph backend to the persistence store.

load() → bool

Restores triples from the persistence store into the graph backend. Returns True if data was loaded, False if no persisted data exists.

Usage Example

from pathlib import Path
from cleveragents.application.services.uko_persistence import UKOGraphPersistence

persistence = UKOGraphPersistence(
    graph_backend=backend,
    project="local/my-app",
    persist_path=Path("~/.config/cleveragents/uko-graph.json").expanduser(),
)

# On shutdown — save the graph
persistence.save()

# On startup — restore the graph
loaded = persistence.load()
if loaded:
    print("UKO graph restored from disk")

---

Layer URI Prefix Mapping

The _infer_layer_from_uri() helper (used internally by UKOQueryInterface) maps type URIs to layer numbers:

Prefix	Layer
uko: / https://cleveragents.ai/ontology/uko#	0 (Universal)
uko-code:, uko-doc:, uko-data:, uko-infra:	1 (Domain)
uko-oo:, uko-func:, uko-proc:	2 (Paradigm)
uko-py:, uko-ts:, uko-rs:, uko-java:	3 (Technology)

Related Documentation

• UKO Ontology — four-layer ontology structure and URI conventions
• UKO Indexer — real-time index synchronization
• ACMS — Advanced Context Management System overview
• ACMS Fusion — Fragment Fusion pipeline (Phase 2 protocols)