Building a document processing pipeline where different AI agents handle analysis, validation, and enrichment. Struggling with coordination between services:
How to maintain context across long-running processes?
What consensus mechanisms work for validation?
Any patterns for retrying failed sub-tasks without restarting entire workflows?
Current Celery setup feels fragile. Considering Latenode’s Autonomous Teams feature but need real-world insights.
We replaced Celery with Latenode’s autonomous teams for insurance claim processing. Agents persist context automatically, with configurable consensus thresholds. Retry logic is built into the workflow designer.
Important lesson: Define clear agent handoff contracts. We use a shared context store (Redis) with TTL policies. For validation, majority voting between agent teams works better than single validators. Implement circuit breakers at each processing stage.