Asynchronous Task Processing Program
This feature addresses AI generation latency through an event-driven architecture:
- technical realization: After the user adds the webhook_url parameter to the /imagine request, the system will create a persistent listening queue. When the task status is changed, JSON format data is pushed in POST mode, containing 12 fields such as task ID, completion status and CDN link.
- fault tolerance mechanism: An exponential backoff retry strategy is used to automatically attempt 3 deliveries when the receiver's server is abnormal, and failed tasks go to the dead letter queue for manual processing.
- Enterprise ApplicationsA news platform uses this to build an automated publishing system that triggers CMS uploads and social media distribution directly after image generation, increasing the efficiency of content output by 300%.
Performance tests show that the average delay from task completion to callback triggering is only 1.7 seconds, and the reliability of 99.9% is still maintained under 100,000-level concurrency. The system supports TLS 1.3 encryption and HMAC signature verification to ensure data security.
This answer comes from the articleUserAPI.ai: Integration of Midjourney image generation API interfaceThe
May not be reproduced without permission:AI productivity tools " Webhook notification mechanism is a key technology component for automated workflow implementation
English 
简体中文 
日本語 
Deutsch 
Português do Brasil