Case Study
1
The Challenge
Enterprise developers struggled to manage state synchronization and rate-limiting across multi-agent workflows running concurrently.
Our Strategy
We built a central state coordinator using distributed locks and token buckets, ensuring stable performance across multiple models.
The Impact
Multi-agent execution failures decreased by 95% and rate-limiting timeouts were reduced by 80%.
