Agent skill
klingai-upgrade-migration
Migrate between Kling AI model versions safely. Use when upgrading from v1.x to v2.x or adopting new features. Trigger with phrases like 'klingai upgrade', 'kling ai migrate', 'klingai version update', 'upgrade kling model'.
Install this agent skill to your Project
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/klingai-pack/skills/klingai-upgrade-migration
SKILL.md
Kling AI Upgrade & Migration
Overview
Guide for migrating between Kling AI model versions. Covers breaking changes, parameter differences, feature availability, and parallel testing strategies.
Version History
| Version | Release | Key Changes |
|---|---|---|
| v1.0 | 2024-06 | Initial T2V + I2V |
| v1.5 | 2024-09 | 1080p, motion brush, I2V-only model |
| v1.6 | 2024-11 | Lip sync, camera paths, effects API |
| v2.0 | 2025-03 | Quality leap, kling-v2-master |
| v2.1 | 2025-06 | Optimized I2V, kling-v2-1-master for T2V |
| v2.5 Turbo | 2025-09 | 40% faster, best speed/quality ratio |
| v2.6 | 2025-12 | Native audio, 30-48 FPS, highest quality |
Migration: v1.x to v2.x
# v1.x request
body = {
"model_name": "kling-v1-6",
"prompt": "A sunset over mountains",
"duration": "5",
"mode": "standard",
}
# v2.x -- only model_name changes
body["model_name"] = "kling-v2-master"
Breaking changes:
kling-v2-1is I2V-only (no text-to-video support)- Camera control intensities produce different results at same values
- Generation times differ (v2.x generally slower, higher quality)
Migration: v2.x to v2.6 with Audio
body["model_name"] = "kling-v2-6"
body["motion_has_audio"] = True # NEW: synchronized audio
# Cost impact: audio multiplies credits 5x
# 5s standard: 10 -> 50 credits
Feature Availability Matrix
| Feature | v1.0 | v1.5 | v1.6 | v2.0 | v2.1 | v2.5T | v2.6 |
|---|---|---|---|---|---|---|---|
| Text-to-video | Y | Y | Y | Y | I2V only | Y | Y |
| Image-to-video | Y | Y | Y | Y | Y | Y | Y |
| Camera control | - | - | Y | Y | Y | Y | Y |
| Motion brush | - | Y | Y | Y | Y | Y | Y |
| Lip sync | - | - | Y | Y | Y | Y | Y |
| Effects | - | - | Y | Y | Y | Y | Y |
| Native audio | - | - | - | - | - | - | Y |
| 1080p | - | Y | Y | Y | Y | Y | Y |
Parallel A/B Comparison
def compare_models(prompt, models):
"""Generate same prompt across models for comparison."""
results = {}
for model in models:
r = requests.post(f"{BASE}/videos/text2video", headers=get_headers(), json={
"model_name": model, "prompt": prompt, "duration": "5", "mode": "standard",
}).json()
results[model] = {"task_id": r["data"]["task_id"], "start": time.time()}
# Poll all
while any("url" not in r for r in results.values()):
for model, info in results.items():
if "url" in info or "error" in info:
continue
r = requests.get(
f"{BASE}/videos/text2video/{info['task_id']}", headers=get_headers()
).json()
if r["data"]["task_status"] == "succeed":
info["url"] = r["data"]["task_result"]["videos"][0]["url"]
info["time"] = round(time.time() - info["start"])
elif r["data"]["task_status"] == "failed":
info["error"] = r["data"].get("task_status_msg")
time.sleep(10)
for model, info in results.items():
print(f"{model}: {info.get('url', info.get('error'))} ({info.get('time', '?')}s)")
return results
Rollback Strategy
# Feature flag for instant rollback
KLING_MODEL = os.environ.get("KLING_MODEL_VERSION", "kling-v2-master")
body["model_name"] = KLING_MODEL
# To rollback: export KLING_MODEL_VERSION=kling-v1-6
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