klingai-sdk-patterns

# Kling AI SDK Patterns ## Overview Production-ready client patterns for the Kling AI API. Covers auto-refreshing JWT, typed request/response models, exponential backoff polling, async batch submission, and structured error handling. ## Python Client Wrapper ```python import jwt import time import os import requests from dataclasses import dataclass, field from typing import Optional @dataclass class KlingConfig: access_key: str = field(default_factory=lambda: os.environ["KLING_ACCESS_KEY"]) secret_key: str = field(default_factory=lambda: os.environ["KLING_SECRET_KEY"]) base_url: str = "https://api.klingai.com/v1" token_buffer_sec: int = 300 poll_interval_sec: int = 10 max_poll_attempts: int = 120 # 20 minutes max timeout_sec: int = 30 class KlingClient: """Production Kling AI client with auto-refreshing JWT.""" def __init__(self, config: Optional[KlingConfig] = None): self.config = config or KlingConfig() self._token = None self._token_expires = 0 @property def _headers(self) -> dict: now = int(time.time()) if now >= (self._token_expires - self.config.token_buffer_sec): payload = {"iss": self.config.access_key, "exp": now + 1800, "nbf": now - 5} self._token = jwt.encode(payload, self.config.secret_key, algorithm="HS256", headers={"alg": "HS256", "typ": "JWT"}) self._token_exp...