Sandboxes articles

Run background commands in Polyaxon sandboxes

Start a background process, save its execution ID, reconnect to status and logs, and distinguish command limits from the lifetime of a Polyaxon sandbox.

Orchestrate parallel coding agents with Polyaxon

Run parallel coding agents in separate Polyaxon workspaces, collect candidate patches, evaluate independently, and merge only reviewed changes.

Set up a Polyaxon code execution workspace

Enable sandbox execution on a Polyaxon service, reuse its image and compute settings, run commands through the SDK, and preserve results before cleanup.

What is an AI sandbox? Development environments and execution isolation

Understand AI sandboxes for development and agent execution, including runtime isolation, credentials, storage, network access, GPUs, and lifecycle.

Make sandbox selection a platform decision

Evaluate sandbox selection as a Polyaxon platform decision covering execution contracts, identity, scheduling, state, evidence, and operational ownership.

Configure Python sandboxes for untrusted LLM code

Configure Polyaxon Python sandbox services with minimal privileges, controlled writable paths, bounded resources, and separate handling of untrusted LLM code.

Distinguish sandboxes, runtimes, and code interpreters

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

Manage long-lived AI agent workspaces

Manage long-lived Polyaxon agent workspaces with explicit ownership, reproducible environments, checkpoints, bounded lifetimes, and safe replacement.

Operate remote code execution with Polyaxon

Operate remote code execution through Polyaxon with explicit session ownership, command receipts, artifact collection, and safe retry decisions.

Keep Polyaxon sandboxes ready with bounded lifetimes

Keep Polyaxon sandbox services ready for active sessions while controlling idle cost, absolute lifetime, state persistence, and cleanup.

Choose a code execution API for AI workflows

Compare code execution API shapes and implement clear request, result, cancellation, and artifact contracts for Polyaxon agent workflows.

Benchmark coding-agent sandboxes with Polyaxon

Benchmark coding-agent sandboxes with controlled workloads, reproducible Polyaxon runs, latency distributions, recovery scenarios, and quality-adjusted results.

Evaluate security controls for AI sandbox platforms

Evaluate AI sandbox platforms using explicit security acceptance criteria, and map Polyaxon capabilities to application and Kubernetes controls.

Choose state lifetimes for AI agent workspaces

Choose appropriate lifetimes for agent process memory, sandbox files, persistent volumes, artifacts, and application state in Polyaxon.

Connect agent tool calls to Polyaxon execution

Translate agent tool requests into authorized Polyaxon sandbox execution with bounded commands, structured results, and explicit lifecycle ownership.