4.1. Architecture

System architecture, run lifecycle, configuration pipeline, and infrastructure topology

4.1.1. Overview

High-level architecture diagram, three execution modes, data stores, and service communication map

4.1.2. Run Lifecycle

End-to-end walkthrough of a production run — frontend preparation, orchestrator processing, agent startup, job execution, monitoring, and shutdown

4.1.3. Configuration Pipeline

Three-layer configuration pipeline — config template, $env_ substitution, CSV deep merge, and UUID/code injection

4.1.4. Code Bundling and Execution

Frontend script bundler, code injection into config, Redis transport, agent-side exec(), and requirements.txt handling

4.1.5. Agent Internals

Agent Docker image contents, startup sequence, concurrency model, and available built-in modules

4.1.6. Environment Variables

Complete reference of environment variables per service, injection channels (Kubernetes secrets, Helm, Docker Compose, python-dotenv), and defaults

4.1.7. Helm Values

Reference for all Helm values — image references, pull policies, registry secrets, and values that become environment variables

4.1.8. Resource Topology

Kubernetes Helm chart, RBAC, secrets, agent Job spec, network topology, and Docker Compose local stack

4.1.9. Bootstrap Scripts

Cluster provisioning, Kubernetes secrets injection, and database initialization scripts