klingai-team-setup

# Kling AI Team Setup ## Overview Manage team access to the Kling AI API using separate API keys, environment-based routing, usage quotas per team member, and centralized credential management. ## Per-Environment API Keys Create separate API key pairs in the [Kling AI developer console](https://app.klingai.com/global/dev/api-key) for each environment: | Environment | Key Naming Convention | Purpose | |------------|----------------------|---------| | Development | `dev-<project>` | Local testing, free tier | | Staging | `staging-<project>` | Integration testing | | Production | `prod-<project>` | Live traffic | ```bash # .env.development KLING_ACCESS_KEY="ak_dev_..." KLING_SECRET_KEY="sk_dev_..." # .env.production KLING_ACCESS_KEY="ak_prod_..." KLING_SECRET_KEY="sk_prod_..." ``` ## Team Configuration ```python from dataclasses import dataclass from typing import Optional @dataclass class TeamMember: name: str email: str role: str # admin, editor, viewer daily_credit_limit: int allowed_models: list[str] @dataclass class TeamConfig: name: str members: list[TeamMember] total_daily_limit: int = 1000 default_model: str = "kling-v2-master" default_mode: str = "standard" def get_member(self, email: str) -> Optional[TeamMember]: return next((m for m in self.members if m.email == email), None) # Example team configuration team = TeamConfig( name="marketing", total_daily_limit=5000, members=[ TeamMembe...