Anth multi env setup

Skill ComeOnOliver/skillshub/skills/jeremylongshore/claude-code-plugins-plus-skills/anth-multi-env-setup

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Install

npx -y skills add ComeOnOliver/skillshub --skill anth-multi-env-setup

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What its author says it does

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Configure Claude API across dev, staging, and production environments with isolated keys, model routing, and spend controls per environment. Trigger with phrases like "anthropic environments", "claude multi-env", "anthropic staging setup", "claude dev vs prod config".

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.5 KB, 801 tokens by cl100k_base, as published. Nobody here has run it

Anthropic Multi-Environment Setup

Overview

Configure isolated Claude API environments with per-env API keys, model selection, and spend controls using Anthropic Workspaces.

Environment Configuration

# config.py
import os
from dataclasses import dataclass

@dataclass
class ClaudeConfig:
    api_key: str
    model: str
    max_tokens: int
    max_retries: int
    timeout: float
    monthly_budget_usd: float

CONFIGS = {
    "development": ClaudeConfig(
        api_key=os.environ["ANTHROPIC_API_KEY_DEV"],
        model="claude-haiku-4-20250514",       # Cheap for dev
        max_tokens=256,
        max_retries=1,
        timeout=15.0,
        monthly_budget_usd=10.0,
    ),
    "staging": ClaudeConfig(
        api_key=os.environ["ANTHROPIC_API_KEY_STAGING"],
        model="claude-sonnet-4-20250514",
        max_tokens=1024,
        max_retries=2,
        timeout=30.0,
        monthly_budget_usd=50.0,
    ),
    "production": ClaudeConfig(
        api_key=os.environ["ANTHROPIC_API_KEY_PROD"],
        model="claude-sonnet-4-20250514",
        max_tokens=4096,
        max_retries=5,
        timeout=120.0,
        monthly_budget_usd=5000.0,
    ),
}

def get_config() -> ClaudeConfig:
    env = os.getenv("APP_ENV", "development")
    return CONFIGS[env]

Anthropic Workspaces (Key Isolation)

Create separate Workspaces in console.anthropic.com:

Workspace	Purpose	Rate Limit Tier
`dev`	Development & testing	Tier 1
`staging`	Pre-production validation	Tier 2
`production`	Live traffic	Tier 3+

Each workspace has independent API keys, usage tracking, and rate limits.

Environment Files

# .env.development
ANTHROPIC_API_KEY_DEV=sk-ant-api03-dev-...
APP_ENV=development

# .env.staging
ANTHROPIC_API_KEY_STAGING=sk-ant-api03-stg-...
APP_ENV=staging

# .env.production (stored in secret manager, not files)
ANTHROPIC_API_KEY_PROD=sk-ant-api03-prd-...
APP_ENV=production

Client Factory

import anthropic

def create_client() -> anthropic.Anthropic:
    config = get_config()
    return anthropic.Anthropic(
        api_key=config.api_key,
        max_retries=config.max_retries,
        timeout=config.timeout,
    )

Per-Environment Model Override

# Development: always use Haiku (cheapest)
# Staging: use production model for accuracy testing
# Production: use configured model

def get_model(override: str | None = None) -> str:
    if override:
        return override
    return get_config().model

Error Handling

Issue	Cause	Fix
Dev key used in prod	Wrong env loaded	Validate key prefix matches environment
Staging rate limited	Low tier workspace	Upgrade staging workspace tier
Cost overrun in dev	No budget guard	Add per-env spend limits

Resources

Next Steps

For monitoring, see anth-observability.