Kling AI Common Errors
Overview
Complete error reference for the Kling AI API. Covers HTTP status codes, task-level failures, JWT issues, and generation-specific problems with tested solutions.
HTTP Error Codes
| Code | Error | Cause | Solution |
|------|-------|-------|----------|
| 400 | Bad Request | Invalid parameters, malformed JSON | Validate all required fields; check model_name is valid |
| 401 | Unauthorized | Invalid/expired JWT token | Regenerate JWT; verify AK/SK; check exp claim |
| 402 | Payment Required | Insufficient credits | Top up API resource pack or subscription |
| 403 | Forbidden | Content policy violation or API disabled | Review prompt against content policy; enable API access |
| 404 | Not Found | Invalid task_id or wrong endpoint | Verify task_id; check endpoint path spelling |
| 429 | Too Many Requests | Rate limit exceeded | Implement exponential backoff (see pattern below) |
| 500 | Internal Server Error | Kling platform issue | Retry after 30s; if persistent, check status page |
| 502 | Bad Gateway | Upstream service unavailable | Retry with backoff; typically transient |
| 503 | Service Unavailable | System maintenance | Wait and retry; check announcements |
Task-Level Failures
When HTTP returns 200 but task_status is "failed":
| task_status_msg | Cause | Solution |
|-------------------|-------|----------|
| Content policy violation | Prompt contains restricted content | Remove violent, adult, or copyrighted references |
| Image quality too low | Source image is blurry or too small | Use image >= 300x300px, clear and sharp |
| Prompt too complex | Too many scene elements | Simplify to 1-2 subjects, clear action |
| Generation timeout | Internal processing exceeded limit | Retry; reduce duration from 10s to 5s |
| Invalid image format | Unsupported file type | Use JPG, PNG, or WebP |
| Mask dimension mismatch | Mask size differs from source | Ensure mask matches source image dimensions exactly |
JWT Authentication Errors
Problem: 401 on every request
# WRONG — missing headers parameter
token = jwt.encode(payload, sk, algorithm="HS256")
# CORRECT — include explicit headers
token = jwt.encode(payload, sk, algorithm="HS256",
headers={"alg": "HS256", "typ": "JWT"})
Problem: Token works then fails after 30 min
# WRONG — token generated once at import time
TOKEN = generate_token()
# CORRECT — refresh before expiry
class TokenManager:
def __init__(self, ak, sk):
self.ak, self.sk = ak, sk
self._token = None
self._exp = 0
@property
def token(self):
if time.time() >= self._exp - 300: # 5 min buffer
payload = {"iss": self.ak, "exp": int(time.time()) + 1800,
"nbf": int(time.time()) - 5}
self._token = jwt.encode(payload, self.sk, algorithm="HS256",
headers={"alg": "HS256", "typ": "JWT"})
self._exp = int(time.time()) + 1800
return self._token
Rate Limit Handling
import time
import requests
def request_with_backoff(method, url, headers, json=None, max_retries=5):
"""Retry with exponential backoff on 429 and 5xx errors."""
for attempt in range(max_retries):
response = method(url, headers=headers, json=json)
if response.status_code == 429:
retry_after = int(response.headers.get("Retry-After", 2 ** attempt))
print(f"Rate limited. Retrying in {retry_after}s...")
time.sleep(retry_after)
continue
elif response.status_code >= 500:
wait = 2 ** attempt
print(f"Server error {response.status_code}. Retrying in {wait}s...")
time.sleep(wait)
continue
response.raise_for_status()
return response
raise RuntimeError(f"Max retries ({max_retries}) exceeded")
Diagnostic Checklist
When a generation fails, check in order:
- Auth valid? — Test with a simple GET request first
- Credits available? — Check balance in developer console
- Model valid? — Verify
model_namematches catalog exactly - Parameters valid? —
durationmust be"5"or"10"(string, not int) - Prompt clean? — Remove special characters, keep under 2500 chars
- Image accessible? — For I2V, verify image URL is publicly accessible
- Feature exclusivity? —
image_tail,dynamic_masks, andcamera_controlare mutually exclusive
Debug Logging
import logging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger("kling")
def debug_request(method, url, headers, json=None):
"""Log request/response for debugging."""
logger.debug(f"→ {method.__name__.upper()} {url}")
logger.debug(f"→ Body: {json}")
r = method(url, headers=headers, json=json)
logger.debug(f"← Status: {r.status_code}")
logger.debug(f"← Body: {r.text[:500]}")
return r