A curated architecture view of the K9-AIF framework, backed by a Neo4j knowledge graph. This explorer highlights the runtime flow, inference architecture, execution layer, supporting services, and framework contracts that shape K9-AIF as an architecture-first agentic AI framework.
Understand how requests move through K9-AIF at runtime — from routing and orchestration to agents, model selection, and inference execution.
Explore how K9-AIF separates model routing, inference abstraction, and model provisioning through factory and router patterns.
See how routers, orchestrators, squads, and agents work together to coordinate execution across the K9-AIF framework.
View the persistence, queueing, retrieval, and monitoring components that support the broader execution lifecycle in K9-AIF.
Inspect the base contracts and implementation relationships that define how K9-AIF stays extensible, modular, and architecture-driven.