Where AI workloads
actually finish.
No timeouts. No dropped connections. Just a fault-tolerant, asynchronous distributed pipeline for heavy LLM operations.
THE PROBLEM
Synchronous HTTP Kills AI.
When you build vehicle damage detection pipelines or advanced reasoning agents, LLMs take 10-30 seconds to respond. Standard HTTP requests time out, the connection dies, and the user gets a generic 500 error while the job is lost forever.
THE SOLUTION
Decouple the Workload.
We return a 202 Accepted instantly. The task is durably saved to PostgreSQL and dispatched to a RabbitMQ queue. Independent workers pick up the job, process the AI request, and save the result.
⚙️ Architecture Flow
1. Web API
HTTP 202 + Outbox
HTTP 202 + Outbox
2. Dispatcher
RabbitMQ Publish
RabbitMQ Publish
3. Worker
Gemini AI Processing
Gemini AI Processing
4. PostgreSQL
Durable Completion
Durable Completion
See it in action.
Test the end-to-end message queue and AI processing pipeline.