zlayer 0.11.20

Python bindings for ZLayer, a lightweight Rust-based container orchestrator with built-in networking, scaling, and observability.

zlayer

Python bindings for ZLayer — a lightweight, Rust-based container orchestration platform with built-in networking, scaling, and observability. ZLayer uses libcontainer (from youki) for direct container management without requiring a daemon.

This package ships prebuilt abi3 wheels (one wheel per OS/arch works on CPython 3.8+), so pip install zlayer does not require a Rust toolchain.

Installation

From PyPI

pip install zlayer

From Source

# Requires Rust toolchain and maturin
pip install maturin
cd crates/zlayer-py
maturin develop

Quickstart: driving a remote daemon from Python

The zlayer.Client class talks to a running zlayer daemon over its Unix socket — the same socket the zlayer CLI uses. zlayer.ensure_daemon() bootstraps the zlayer binary if it isn't on PATH yet (downloaded into ~/.local/share/zlayer/bin/).

import asyncio
import zlayer

async def main():
    # Make sure a `zlayer` binary is installed and the daemon is running.
    # Returns the path to the binary. Use system=True to install system-wide
    # via `sudo zlayer daemon install`.
    zlayer.ensure_daemon()

    # Connect to the local daemon (defaults to the standard Unix socket).
    client = zlayer.Client()

    # Deploy a spec and list running containers.
    await client.deploy("deployment.yaml")
    for container in await client.ps():
        print(container)

asyncio.run(main())

Embedded runtime and builder

For in-process orchestration (no daemon required), ZLayer exposes a full Runtime and ImageBuilder API:

import asyncio
from zlayer import Runtime, Container, ImageBuilder

async def main():
    # Deploy from a spec file
    runtime = Runtime()
    await runtime.deploy_spec("deployment.yaml")

    # Scale a service
    await runtime.scale("my-deployment", "api", 3)

    # Check status
    status = await runtime.status()
    print(status)

asyncio.run(main())

Quick Container Run

The easiest way to run a container is using the run() function:

import asyncio
import zlayer

async def main():
    # Run nginx with port mapping
    container = await zlayer.run("nginx:latest", ports={80: 8080})
    print(f"Started: {container.id}")

    # Run redis with a custom name
    container = await zlayer.run("redis:alpine", name="my-redis")

    # Run a one-shot command (waits for completion)
    container = await zlayer.run(
        "python:3.12",
        command=["python", "-c", "print('hello')"],
        detach=False
    )

    # Run with environment variables
    container = await zlayer.run(
        "postgres:16",
        ports={5432: 5432},
        env={"POSTGRES_PASSWORD": "secret"}
    )

    # Stop and clean up
    await container.stop()
    await container.remove()

asyncio.run(main())

Working with Containers

import asyncio
from zlayer import Container

async def main():
    # Create a container from an image
    container = Container.create(
        "nginx:latest",
        ports={"http": 80},
        env={"NGINX_HOST": "localhost"}
    )

    # Start the container
    await container.start()

    # Wait for it to be healthy
    await container.wait_healthy(timeout=30)

    # Get logs
    logs = await container.logs(tail=50)
    print(logs)

    # Stop and remove
    await container.stop()
    await container.remove()

asyncio.run(main())

Building Images

Quick Build (Convenience Function)

The simplest way to build an image is using the build() function:

import asyncio
import zlayer

async def main():
    # Simple build
    image = await zlayer.build("./app", tag="myapp:latest")
    print(f"Built: {image}")

    # Build with custom Dockerfile
    image = await zlayer.build(".", tag="api:v1", dockerfile="Dockerfile.prod")

    # Build with arguments
    image = await zlayer.build(
        "./app",
        tag="myapp:latest",
        build_args={"VERSION": "1.0.0", "DEBUG": "false"}
    )

    # Build without cache
    image = await zlayer.build("./app", tag="myapp:latest", no_cache=True)

asyncio.run(main())

ImageBuilder (Full Control)

For more control over the build process, use the ImageBuilder class:

import asyncio
from zlayer import ImageBuilder, detect_runtime

async def main():
    # Auto-detect runtime from project files
    detected = detect_runtime("./my-app")
    if detected:
        print(f"Detected: {detected.name}")

    # Build an image
    builder = ImageBuilder("./my-app")
    builder.tag("myapp:latest")
    builder.tag("myapp:v1.0.0")

    # Optionally use a runtime template
    builder.runtime("node20")

    # Build
    image = await builder.build()
    print(f"Built: {image.id}")

asyncio.run(main())

Working with Specs

from zlayer import Spec, validate_spec

# Validate a spec
yaml_content = """
version: v1
deployment: my-app
services:
  api:
    rtype: service
    image:
      name: myapp:latest
    endpoints:
      - name: http
        protocol: http
        port: 8080
"""

# Validate
is_valid = validate_spec(yaml_content)
print(f"Valid: {is_valid}")

# Parse
spec = Spec.from_yaml(yaml_content)
print(f"Deployment: {spec.deployment}")
print(f"Services: {spec.services}")

# Access service details
api = spec.get_service("api")
if api:
    print(f"Image: {api.image}")
    print(f"Endpoints: {api.endpoints}")

API Reference

Container

• Container.create(image, ports=None, env=None, name=None) - Create a new container
• container.start() - Start the container
• container.stop(timeout=30) - Stop the container
• container.remove() - Remove the container
• container.logs(tail=100) - Get container logs
• container.wait_healthy(timeout=60) - Wait for healthy status
• container.exec(command) - Execute a command in the container
• container.id - Container ID
• container.status - Current status string

Runtime

• Runtime(options=None) - Create a new runtime
• Runtime.create(options=None) - Create a runtime asynchronously
• runtime.deploy_spec(path) - Deploy from a YAML file
• runtime.deploy_yaml(yaml) - Deploy from a YAML string
• runtime.scale(deployment, service, replicas) - Scale a service
• runtime.status(deployment=None) - Get status
• runtime.list_services() - List all services
• runtime.get_container(service, replica=1) - Get a container
• runtime.remove_service(service) - Remove a service
• runtime.shutdown() - Shutdown the runtime

ImageBuilder

• ImageBuilder(context, dockerfile=None) - Create a new builder
• builder.tag(tag) - Add a tag
• builder.tags(tags) - Add multiple tags
• builder.arg(name, value) - Set a build argument
• builder.args(args) - Set multiple build arguments
• builder.target(stage) - Set target stage
• builder.runtime(name) - Use a runtime template
• builder.no_cache() - Disable caching
• builder.auth(registry, username, password) - Set registry auth
• builder.build() - Build the image
• builder.push(tag=None) - Push to registry

Spec

• Spec.from_yaml(yaml) - Parse from YAML string
• Spec.from_file(path) - Parse from file
• spec.version - Spec version
• spec.deployment - Deployment name
• spec.services - List of service names
• spec.get_service(name) - Get a service spec
• spec.to_yaml() - Convert to YAML
• spec.to_dict() - Convert to dict

Helper Functions

• run(image, name=None, ports=None, env=None, command=None, detach=True) - Run a container quickly
• build(path, tag, dockerfile=None, build_args=None, no_cache=False, progress=True) - Build an image (convenience function)
• parse_spec(yaml) - Parse a YAML spec to dict
• validate_spec(yaml) - Validate a YAML spec
• detect_runtime(path) - Detect runtime from project
• list_runtimes() - List available runtimes
• is_buildah_available() - Check if buildah is installed
• buildah_install_instructions() - Get install instructions
• create_service_spec(name, image, port=None) - Create a service spec

Requirements

• Python 3.8+
• For image building: buildah installed on the system
• For container runtime: youki or similar OCI runtime

License

Apache-2.0