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FastAPI control plane for OpenSandbox that manages sandbox lifecycle on Docker (ready) and Kubernetes (planned) runtimes.

Project description

OpenSandbox Server

A production-grade, FastAPI-based service for managing the lifecycle of containerized sandboxes. It acts as the control plane to create, run, monitor, and dispose isolated execution environments across container platforms.

Features

Core capabilities

  • Lifecycle APIs: Standardized REST interfaces for create, start, pause, resume, delete
  • Pluggable runtimes:
  • Lifecycle cleanup modes: Configurable TTL with renewal, or manual cleanup with explicit delete
  • Access control: API Key authentication (OPEN-SANDBOX-API-KEY); can be disabled for local/dev
  • Networking modes:
    • Host: shared host network, performance first
    • Bridge: isolated network with built-in HTTP routing
  • Resource quotas: CPU/memory limits with Kubernetes-style specs
  • Observability: Unified status with transition tracking
  • Registry support: Public and private images

Extended capabilities

  • Async provisioning: Background creation to reduce latency
  • Timer restoration: Expiration timers restored after restart
  • Env/metadata injection: Per-sandbox environment and metadata
  • Port resolution: Dynamic endpoint generation
  • Structured errors: Standard error codes and messages

Metadata keys under the reserved prefix opensandbox.io/ are system-managed and cannot be supplied by users.

Requirements

  • Python: 3.10 or higher
  • Package Manager: uv (recommended) or pip
  • Runtime Backend:
    • Docker Engine 20.10+ (for Docker runtime)
    • Kubernetes 1.21.1+ (for Kubernetes runtime)
  • Operating System: Linux, macOS, or Windows with WSL2

Quick Start

Installation

Install from PyPI. For local development, clone the repo and run uv sync in server/.

uv pip install opensandbox-server

Configuration

The server reads a TOML file. Default path: ~/.sandbox.toml. Override with SANDBOX_CONFIG_PATH or opensandbox-server --config /path/to/sandbox.toml.

  1. Generate a starter file (see opensandbox-server -h for all flags):
opensandbox-server init-config ~/.sandbox.toml --example docker
# Kubernetes: --example k8s  (deploy the operator / CRDs per ../kubernetes/ first)
# Locales: docker-zh | k8s-zh  |  omit --example for a schema-only skeleton  |  add --force to overwrite
  1. Edit the file for your environment. Full reference: configuration.md (all keys, defaults, validation, env vars).

    Topics covered there include: Docker network_mode / host_ip (e.g. server in Docker Compose), [egress] when clients send networkPolicy, [ingress], [secure_runtime], Kubernetes workload_provider / batchsandbox_template_file, [agent_sandbox], TTL caps, [renew_intent].

Also useful: Secure container runtime · Manual cleanup / optional fields · Egress component · docker-compose.example.yaml · Experimental features

Run the server

opensandbox-server
# opensandbox-server --config /path/to/sandbox.toml

Listens on server.host / server.port from your TOML (defaults in configuration.md).

Health check (adjust host/port if you changed them):

curl http://127.0.0.1:8080/health
# → {"status": "healthy"}

If startup, Docker/Kubernetes, or connectivity fails, see Troubleshooting.

API documentation

Once the server is running, interactive API documentation is available:

API authentication

Authentication is enforced only when server.api_key is set. If the value is empty or missing, the middleware skips API Key checks (intended for local/dev). For production, always set a non-empty server.api_key and send it via the OPEN-SANDBOX-API-KEY header.

All API endpoints (except /health, /docs, /redoc) require authentication via the OPEN-SANDBOX-API-KEY header when authentication is enabled:

curl -H "OPEN-SANDBOX-API-KEY: your-secret-api-key" http://localhost:8080/v1/sandboxes

Example usage

Create a Sandbox

curl -X POST "http://localhost:8080/v1/sandboxes" \
  -H "OPEN-SANDBOX-API-KEY: your-secret-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "image": {
      "uri": "python:3.11-slim"
    },
    "entrypoint": [
      "python",
      "-m",
      "http.server",
      "8000"
    ],
    "timeout": 3600,
    "resourceLimits": {
      "cpu": "500m",
      "memory": "512Mi"
    },
    "env": {
      "PYTHONUNBUFFERED": "1"
    },
    "metadata": {
      "team": "backend",
      "project": "api-testing"
    }
  }'

Response:

{
  "id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
  "status": {
    "state": "Pending",
    "reason": "CONTAINER_STARTING",
    "message": "Sandbox container is starting.",
    "lastTransitionAt": "2024-01-15T10:30:00Z"
  },
  "metadata": {
    "team": "backend",
    "project": "api-testing"
  },
  "expiresAt": "2024-01-15T11:30:00Z",
  "createdAt": "2024-01-15T10:30:00Z",
  "entrypoint": ["python", "-m", "http.server", "8000"]
}

Other lifecycle calls (same OPEN-SANDBOX-API-KEY header): GET /v1/sandboxes/{id}, GET /v1/sandboxes/{id}/endpoints/{port} (append ?use_server_proxy=true when needed), POST .../renew-expiration, DELETE /v1/sandboxes/{id}. Full request/response shapes: Swagger UI above or OpenAPI under specs/.

Architecture

Component responsibilities

  • API Layer (opensandbox_server/api/): HTTP request handling, validation, and response formatting
  • Service Layer (opensandbox_server/services/): Business logic for sandbox lifecycle operations
  • Middleware (opensandbox_server/middleware/): Cross-cutting concerns (authentication, logging)
  • Configuration (opensandbox_server/config.py): Centralized configuration management
  • Runtime Implementations: Platform-specific sandbox orchestration

Sandbox lifecycle states

       create()
          │
          ▼
     ┌─────────┐
     │ Pending │────────────────────┐
     └────┬────┘                    │
          │                         │
          │ (provisioning)          │
          ▼                         │
     ┌─────────┐    pause()         │
     │ Running │───────────────┐    │
     └────┬────┘               │    │
          │      resume()      │    │
          │   ┌────────────────┘    │
          │   │                     │
          │   ▼                     │
          │ ┌────────┐              │
          ├─│ Paused │              │
          │ └────────┘              │
          │                         │
          │ delete() or expire()    │
          ▼                         │
     ┌──────────┐                   │
     │ Stopping │                   │
     └────┬─────┘                   │
          │                         │
          ├────────────────┬────────┘
          │                │
          ▼                ▼
     ┌────────────┐   ┌────────┐
     │ Terminated │   │ Failed │
     └────────────┘   └────────┘

Configuration reference

Single source of truth for TOML: configuration.md (includes SANDBOX_CONFIG_PATH, DOCKER_HOST, PENDING_FAILURE_TTL).

Experimental features

Optional 🧪 experimental behavior; off by default in example.config.toml (and mirrored copies under opensandbox_server/examples/). See release notes before production.

Auto-renew on access

Extends sandbox TTL when traffic is observed (lifecycle proxy and/or ingress + optional Redis queue). Design and operations: OSEP-0009. TOML keys ([renew_intent], including nested redis.*): see configuration.md and example.config.toml.

Per-sandbox: on create, set extensions["access.renew.extend.seconds"] (string integer 30086400). Clients using the server proxy: request endpoints with use_server_proxy=true (REST) or SDK ConnectionConfig(..., use_server_proxy=True) — details in OSEP-0009.

Development

Code quality

Run linter:

uv run ruff check

Auto-fix issues:

uv run ruff check --fix

Format code:

uv run ruff format

Testing

Run all tests:

uv run pytest

Run with coverage:

uv run pytest --cov=opensandbox_server --cov-report=html

Run specific test:

uv run pytest tests/test_docker_service.py::test_create_sandbox_requires_entrypoint

License

This project is licensed under the terms specified in the LICENSE file in the repository root.

Contributing

Contributions are welcome. Follow the repository CONTRIBUTING.md (Conventional Commits, PR expectations). Typical flow:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Write tests for new functionality
  4. Ensure all tests pass (uv run pytest)
  5. Run linting (uv run ruff check)
  6. Commit with clear messages
  7. Push to your fork
  8. Open a Pull Request

Support

  • Troubleshooting: TROUBLESHOOTING.md — common failures (config, Docker, networking, K8s) and fixes
  • Development: DEVELOPMENT.md
  • Issues: Report defects via GitHub Issues
  • Discussions: GitHub Discussions for Q&A and ideas

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