klingai-team-setup

Configure Kling AI for teams with per-project API keys, usage quotas, and role-based access. Trigger with phrases like 'klingai team', 'kling ai organization', 'klingai multi-user', 'shared klingai access'.

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klingai-pack

Kling AI skill pack - 30 skills for AI video generation, image-to-video, text-to-video, and production workflows

saas packs v1.0.0
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Installation

This skill is included in the klingai-pack plugin:

/plugin install klingai-pack@claude-code-plugins-plus

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Instructions

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 for each environment:

Environment Key Naming Convention Purpose
Development dev- Local testing, free tier
Staging staging- Integration testing
Production prod- Live traffic

# .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


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=[
        TeamMember("Alice", "alice@co.com", "admin", 2000,
                   ["kling-v2-6", "kling-v2-master", "kling-v2-5-turbo"]),
        TeamMember("Bob", "bob@co.com", "editor", 500,
                   ["kling-v2-master", "kling-v2-5-turbo"]),
        TeamMember("Carol", "carol@co.com", "viewer", 100,
                   ["kling-v2-5-turbo"]),
    ],
)

Usage Quotas Per Member


import time
from collections import defaultdict

class TeamQuotaManager:
    """Enforce per-member and team-wide credit limits."""

    def __init__(self, config: TeamConfig):
        self.config = config
        self._usage = defaultdict(int)  # email -> credits used today
        self._reset_time = time.time()

    def _check_reset(self):
        if time.time() - self._reset_time > 86400:
            self._usage.clear()
            self._reset_time = time.time()

    def authorize(self, email: str, credits_needed: int, model: str) -> bool:
        self._check_reset()
        member = self.config.get_member(email)
        if not member:
            raise PermissionError(f"Unknown user: {email}")

        if model not in member.allowed_models:
            raise PermissionError(f"{email} not authorized for {model}")

        if self._usage[email] + credits_needed > member.daily_credit_limit:
            raise RuntimeError(f"{email} exceeds daily limit "
                             f"({self._usage[email]} + {credits_needed} > {member.daily_credit_limit})")

        team_total = sum(self._usage.values()) + credits_needed
        if team_total > self.config.total_daily_limit:
            raise RuntimeError(f"Team daily limit exceeded ({team_total} > {self.config.total_daily_limit})")

        return True

    def record_usage(self, email: str, credits: int):
        self._usage[email] += credits

    def usage_report(self) -> dict:
        return {
            "team_total": sum(self._usage.values()),
            "team_limit": self.config.total_daily_limit,
            "by_member": dict(self._usage),
        }

Secrets Management

Tool How to Store AK/SK
AWS Secrets Manager aws secretsmanager create-secret --name kling/prod
GCP Secret Manager gcloud secrets create kling-prod
HashiCorp Vault vault kv put secret/kling ak=... sk=...
1Password CLI op item create --category login --title "Kling API"

# Load from AWS Secrets Manager
import boto3
import json

def get_kling_credentials(secret_name="kling/prod"):
    client = boto3.client("secretsmanager")
    secret = client.get_secret_value(SecretId=secret_name)
    creds = json.loads(secret["SecretString"])
    return creds["access_key"], creds["secret_key"]

Access Control Wrapper


class TeamKlingClient:
    """Kling client with team-level access control."""

    def __init__(self, base_client, quota_manager: TeamQuotaManager):
        self.client = base_client
        self.quotas = quota_manager

    def text_to_video(self, email: str, prompt: str, **kwargs):
        model = kwargs.get("model", "kling-v2-master")
        credits = 10 if kwargs.get("mode") != "professional" else 35
        self.quotas.authorize(email, credits, model)

        result = self.client.text_to_video(prompt, **kwargs)
        self.quotas.record_usage(email, credits)
        return result

Resources

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