vastai-multi-env-setup

# Vast.ai Multi-Environment Setup ## Overview Configure separate Vast.ai environments for development, staging, and production by using different API keys, GPU profiles, and spending limits. Vast.ai does not have built-in environment isolation, so you implement it through configuration. ## Prerequisites - Vast.ai accounts or API keys per environment - Secrets manager for key storage - Understanding of GPU profile requirements per tier ## Instructions ### Step 1: Environment Configuration ```python # config.py — environment-specific Vast.ai settings import os from dataclasses import dataclass @dataclass class VastEnvConfig: name: str api_key: str max_dph: float # Maximum $/hr per instance max_instances: int # Concurrent instance limit max_daily_spend: float # Daily budget cap gpu_whitelist: list # Allowed GPU types reliability_min: float # Minimum reliability score auto_destroy_hours: int # Auto-destroy timeout ENVIRONMENTS = { "development": VastEnvConfig( name="development", api_key=os.environ.get("VASTAI_DEV_KEY", ""), max_dph=0.25, max_instances=2, max_daily_spend=5.00, gpu_whitelist=["RTX_3090", "RTX_4090"], reliability_min=0.90, auto_destroy_hours=2, ), "staging": VastEnvConfig( name="staging", api_key=os.environ.get("VASTAI_STAGING_KEY", ""), max_dph=2.00, max_instances=4, max_daily_spend=50....