nixl-python-api

Guide NIXL Python API implementation with readiness-gated, version-safe instructions.

1.2k|393|Updated Mar 5, 2025
One-click install
npx skills add https://github.com/ai-dynamo/nixl --skill nixl-python-api
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nixl-python-api
Source: https://github.com/ai-dynamo/nixl/tree/main/.agents/skills/nixl-python-api
Command: npx skills add https://github.com/ai-dynamo/nixl --skill nixl-python-api

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps users write or debug NIXL Python API code with correct, version-aligned guidance while preventing unsafe or speculative transfers when environment, backend, or trust evidence is missing.

Core Features & Use Cases

  • Readiness-gated API guidance: Classifies issues into import/environment readiness, backend evidence gaps, memory descriptor readiness, and version/source uncertainty before suggesting copy-paste transfer code.
  • Lifecycle-focused instruction routing: Directs answers to the minimal matching reference for agent/backend setup, memory descriptors, metadata exchange, transfer polling/cleanup, notifications, storage/partial metadata, and security trust boundaries.
  • Security invariants for NIXL Python flows: Enforces rules around treating descriptor bytes and metadata bytes as untrusted, avoiding public exposure of listener ports, and preventing unsafe deserialization or raw-address construction.

Quick Start

Ask the agent for a minimal NIXL Python transfer example for your installed version, including what readiness evidence to provide if your backend, CUDA/VRAM, or metadata exchange is not yet proven.

Frequently Asked Questions about nixl-python-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a minimal NIXL Python API transfer example safely?

To write a minimal NIXL Python API transfer safely, you must provide readiness evidence like installed package versions and validate backend memory types before generating transfer code. This prevents speculative transfers when environment or backend evidence is missing.

Why does my NIXL Python agent fail during backend setup or metadata exchange?

NIXL Python agent setup or metadata exchange fails when backend evidence gaps or memory descriptor readiness issues exist. You must collect installed package evidence and validate backend readiness before the lifecycle reference file routes correct setup instructions.

What are the security invariants for handling NIXL descriptor and metadata bytes?

Security invariants for NIXL descriptor and metadata bytes require treating all bytes as untrusted, avoiding public exposure of listener ports, and preventing unsafe deserialization or raw-address construction. These trust-boundary rules protect control-plane setup.

How do I handle NIXL transfer polling and cleanup in custom Python code?

To handle NIXL transfer polling and cleanup in custom Python code, load the minimal matching reference file for transfer polling and cleanup. Ensure you validate backend and memory-type readiness first, as the API gates guidance on environment evidence.

Can I use NIXL Python API if my installed version or backend plugin evidence is incomplete?

You can use NIXL Python API with incomplete version or backend plugin evidence, but it classifies the issue as version/source uncertainty and withholds transfer code. Readiness-gated guidance prevents unsafe transfers until backend evidence is validated.