Configure Kling AI for team and organization use. Use when setting up shared access, managing team API keys, or organizing projects...
Manage team access to the Kling AI API using separate API keys, environment-based routing, usage quotas per team member, and centralized credential management.
Create separate API key pairs in the Kling AI developer console 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 |
# .env.development
KLING_ACCESS_KEY="ak_dev_..."
KLING_SECRET_KEY="sk_dev_..."
# .env.production
KLING_ACCESS_KEY="ak_prod_..."
KLING_SECRET_KEY="sk_prod_..."
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"]),
],
)
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),
}
| 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"]
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
Produce a team-setup receipt with workspace, role scopes, quota limits, approval/policy checks, draft-only assertion, revocation test, owner approval, retention/removal proof, and rollback reference. Exclude member identities and credentials.
| Condition | Response |
|---|---|
| Role grants exceed the approved matrix | Revoke the grant, restore the prior matrix, and record only a redacted audit event. |
| Budget or policy control fails | Stop generation, cancel queued drafts, and require owner review before retrying. |
workspace=sandbox-studio; role=editor-draft-only; quota=100-credits; policy=pass; publish=disabled; revocation=tested is a valid setup canary.