---
name: jeremylongshore/klingai-common-errors
source: https://app.decimal.ai/s/jeremylongshore-klingai-common-errors@1/SKILL.md
source_sha256: b7510ebc34ac
---

# 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

```python
# 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

```python
# 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

```python
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:

1. **Auth valid?** — Test with a simple GET request first
2. **Credits available?** — Check balance in developer console
3. **Model valid?** — Verify `model_name` matches catalog exactly
4. **Parameters valid?** — `duration` must be `"5"` or `"10"` (string, not int)
5. **Prompt clean?** — Remove special characters, keep under 2500 chars
6. **Image accessible?** — For I2V, verify image URL is publicly accessible
7. **Feature exclusivity?** — `image_tail`, `dynamic_masks`, and `camera_control` are mutually exclusive

## Debug Logging

```python
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
```

## Resources

- [API Reference](https://app.klingai.com/global/dev/document-api/apiReference/model/textToVideo)
- [Content Policy](https://app.klingai.com/global/dev/document-api/protocols/paidServiceProtocol)
- [Developer Portal](https://app.klingai.com/global/dev)