treadstone 0.1.4

Agent-native sandbox service. Run code, build projects, deploy environments.

Treadstone

Agent-Native sandbox. Run code, build projects, deploy environments.

[!NOTE] Treadstone is in early development. The vision and CLI examples below reflect the direction we are building toward — not all features are implemented yet. See Status for what works today.

Why Treadstone?

AI agents need isolated environments to execute code, install packages, run tests, and build software. Existing sandbox solutions are either designed for human developers to self-host (requiring a Kubernetes cluster and significant ops work) or locked behind proprietary APIs with no self-deploy option.

Treadstone takes a different approach: an agent-native sandbox service that agents interact with directly via CLI and SDK, while remaining fully open source and self-hostable.

	Self-host sandbox platforms	Proprietary sandbox APIs	Treadstone
Audience	Developers building platforms	Developers integrating SDKs	AI agents operating autonomously
Setup	Deploy K8s + controllers + CRDs	Sign up for API key	treadstone run "print('hello')"
Self-host	Yes	No	Yes
Managed option	No	Yes	Yes
Multi-tenant	Build it yourself	Built-in	Built-in

Quick Start

Install

pip install git+https://github.com/earayu/treadstone.git

CLI

# Register and get an API key
treadstone auth register --email [e-mail] --password YourPass123!
treadstone auth login --email [e-mail] --password YourPass123!
treadstone api-keys create --name my-key

# Set your API key
export TREADSTONE_API_KEY="sk-..."
export TREADSTONE_BASE_URL="http://localhost:8000"

# List available templates
treadstone templates list

# Create a sandbox
treadstone sandboxes create --template aio-sandbox-tiny --name my-sandbox

# List and inspect sandboxes
treadstone sandboxes list
treadstone sandboxes get <sandbox_id>

# Create a persistent sandbox with storage
treadstone sandboxes create --template aio-sandbox-large --persist --storage-size 20Gi

# Lifecycle management
treadstone sandboxes stop <sandbox_id>
treadstone sandboxes start <sandbox_id>
treadstone sandboxes delete <sandbox_id>

# All commands support JSON output for automation
treadstone --json sandboxes list

Python SDK

from treadstone_sdk import Client

client = Client(base_url="http://localhost:8000")

# All API operations are available as typed methods
# See sdk/python/ for the full generated SDK

Sandbox Templates

Treadstone ships with five built-in size tiers — all powered by the same AIO (All-in-One) image with different resource allocations. No ecosystem to maintain, no marketplace to curate.

Template	CPU	Memory	Use Case
aio-sandbox-tiny	0.25 core	512 Mi	Code execution, script running
aio-sandbox-small	0.5 core	1 Gi	Simple development tasks
aio-sandbox-medium	1 core	2 Gi	General-purpose development
aio-sandbox-large	2 cores	4 Gi	Full-featured + browser automation
aio-sandbox-xlarge	4 cores	8 Gi	Heavy workloads

# Quick code execution (ephemeral, WarmPool-accelerated)
treadstone run --template aio-sandbox-tiny "import math; print(math.pi)"

# Full development environment with persistent storage
treadstone create --template aio-sandbox-large --persist --storage 20Gi

Architecture

┌──────────────────────────────────────────────────────┐
│  CLI / Python SDK / REST API                         │
├──────────────────────────────────────────────────────┤
│  Platform Service Layer          (Treadstone)        │
│  Auth · API Keys · RBAC · Rate Limiting · Billing    │
├──────────────────────────────────────────────────────┤
│  Orchestration Layer                                 │
│  Kubernetes · agent-sandbox CRD · WarmPool           │
├──────────────────────────────────────────────────────┤
│  Sandbox Runtime Layer                               │
│  Container · gVisor Isolation · Persistent Volumes   │
└──────────────────────────────────────────────────────┘

Platform Service Layer — Authentication, multi-tenancy, API key management, rate limiting, and usage metering. This is what turns an open-source sandbox runtime into a production-ready service.

Orchestration Layer — Kubernetes-native scheduling via agent-sandbox CRDs with warm pool pre-provisioning for fast startup.

Sandbox Runtime Layer — Isolated container execution with gVisor secure runtime. Supports both ephemeral (no storage) and persistent (PVC-backed) sandbox modes.

Tech Stack

Component	Technology
Backend	Python 3.12+, FastAPI, SQLAlchemy (async), asyncpg
Database	Neon Serverless PostgreSQL
Orchestration	Kubernetes, agent-sandbox CRD
Isolation	gVisor (K8s RuntimeClass)
Runtime	agent-infra/sandbox
Package manager	uv
CI/CD	GitHub Actions → GHCR

Status

Treadstone is under active development. Here is what works today and what is coming next.

Phase	Scope	Status
Phase 1	User auth (JWT, OAuth, API keys), RBAC, invitation system	Done
Phase 2	Sandbox CRUD, lifecycle management, K8s sync, HTTP proxy, subdomain routing	Done
Phase 3	CLI, Python SDK, agent-facing developer experience	Done
Phase 4	Usage metering, billing (Stripe), quotas	Planned
Phase 5	Managed hosting, production hardening, monitoring	Planned

Design documents and implementation plans are available in the docs/ directory.

Development

make help             # Show all available commands
make dev              # Start local dev server (hot reload)
make test             # Run tests
make lint             # Lint check
make format           # Auto-format
make migrate          # Run database migrations
make migration MSG=x  # Generate a new migration
make build            # Build Docker image
make up               # Spin up local Kind cluster + deploy
make down             # Tear down local environment

License

Apache License 2.0