Architecture articles

Connect agent execution to the ML platform

Connect AI agent execution to Polyaxon projects, components, scheduling, tracking, and artifacts through a stable application-owned execution contract.

Distinguish sandboxes, runtimes, and code interpreters

Distinguish the security boundary, process runtime, and interpreter session when designing Polyaxon code execution for AI agents.

Separate agent planning, execution, and evaluation

Structure Polyaxon agent systems around separate planning, execution, and evaluation contracts with explicit state and promotion decisions.

Use MCP and function calling in Polyaxon agents

Choose direct function tools or MCP adapters for Polyaxon agents based on reuse, authorization, lifecycle, and execution contracts.

Build an AI agent infrastructure stack with Polyaxon

Map an AI agent stack to Polyaxon services, jobs, sandboxes, queues, connections, tracking, and versioned components without conflating their responsibilities.