Documentation

Documentation for the apps.ai-agents execution engine.

Contents

• Software Architecture Document (SAD) — Top-level arc42 architecture; conforms to RAD-0001 (cloud-native app) + RAD-0002 (k8s operator)
• Architecture — Engine-internals deep-dive: job lifecycle, model slots & credentials, config resolution
• API Reference — Full endpoint documentation with examples
• Agent Chains — Multi-step workflows and cascading delegation
• Deployment — Kubernetes deployment guide
• Tenancy — Tenants, workload identity, tenant agents, metering and onboarding
• Tenant Concurrency — Operator guide to per-tenant limits and priority
• Using Local Models from a CLI — Configure codex / Qwen Code or a chat app on your machine to use the on-prem models via the proxy
• GitHub Integration — GitHub webhook integration via github-ai-agents

Architecture Decision Records

Design decisions are tracked in adr/.