{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/2"}],"enrichment":{"capability":"A Python client library for creating and managing isolated sandbox environments on Kubernetes clusters, supporting multiple connection modes from local development to production cloud deployments.","skillfed_tags":["kubernetes","agent-orchestration","sandbox-isolation"],"use_cases":["Local development and testing of agent code against isolated sandbox environments without needing a public cloud deployment.","Production agent orchestration on GKE or other managed Kubernetes services using the Gateway Mode for high-scale, load-balanced sandbox provisioning.","CI/CD pipelines that need to spin up ephemeral, isolated execution environments for testing untrusted or experimental code.","In-cluster agent workloads that spawn child sandboxes for subtasks, communicating directly via cluster DNS.","Custom networking scenarios where sandboxes are accessed through a specific domain or manually configured router URL."],"what_it_does":"k8s-agent-sandbox is a Python client for the Kubernetes Agent Sandbox Controller, enabling you to programmatically create, configure, and tear down isolated sandbox environments running inside a Kubernetes cluster. It abstracts away the complexity of pod lifecycle management and networking by providing a high-level interface that works as a context manager, ensuring proper resource cleanup.\n\nThe client supports four connection modes: Gateway Mode for production cloud deployments with load balancing, Tunnel Mode for local development via kubectl port-forward, In-Cluster Mode for workloads running inside the cluster that connect directly to sandbox pods, and Advanced Mode for custom networking scenarios. It depends on kubernetes, requests, pydantic, and prometheus-client, and includes optional async support for integration with async frameworks like FastAPI.","worth_installing":"Yes. The package is actively maintained with no known vulnerabilities, has low install friction, and fills a clear need for Kubernetes-native sandbox management. Install it if you are building agents or orchestration tools on Kubernetes and need reliable, scalable sandbox lifecycle management. The permissive Apache license and recent release cadence make it a safe production dependency."},"id":"k8s-agent-sandbox","links":{"html":"https://skillfed.io/packages/k8s-agent-sandbox","md":"https://skillfed.io/packages/k8s-agent-sandbox.md","pypi":"https://pypi.org/project/k8s-agent-sandbox/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"permissive","name":"k8s-agent-sandbox","python_support":"supports_current","summary":"A client library to interact with the Agentic Sandbox on Kubernetes."},"popularity":{"monthly_downloads":648849,"position":5582,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.5"}