vastai-sdk-patterns

name	vastai-sdk-patterns
description	Apply production-ready Vast.ai SDK patterns for Python and REST API. Use when implementing Vast.ai integrations, refactoring SDK usage, or establishing coding standards for GPU cloud operations. Trigger with phrases like "vastai SDK patterns", "vastai best practices", "vastai code patterns", "idiomatic vastai".
allowed-tools	Read, Write, Edit, Grep
version	1.11.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","vast-ai","python","patterns"]
compatibility	Designed for Claude Code

Vast.ai SDK Patterns

Overview

Production-ready patterns for the Vast.ai CLI, Python SDK, and REST API at cloud.vast.ai/api/v0. Covers typed search queries, instance lifecycle management, offer scoring, and error handling.

Prerequisites

• Completed vastai-install-auth setup
• Python 3.8+ with requests
• Familiarity with the Vast.ai marketplace model

Instructions

Pattern 1: Typed Search Query Builder

from dataclasses import dataclass
from typing import Optional

@dataclass
class GPUQuery:
    num_gpus: int = 1
    gpu_name: Optional[str] = None
    gpu_ram_min: Optional[float] = None
    reliability_min: float = 0.95
    max_dph: Optional[float] = None

    def to_filter(self) -> dict:
        f = {"rentable": {"eq": True}, "num_gpus": {"eq": self.num_gpus},
             "reliability2": {"gte": self.reliability_min}}
        if self.gpu_name:
            f["gpu_name"] = {"eq": self.gpu_name}
        if .gpu_ram_min:
            f[] = {: .gpu_ram_min}
         .max_dph:
            f[] = {: .max_dph}
         f