AI Agents / Agent orchestration and reliability
AI Agents: Load shedding by priority
Preserve critical tasks and defer optional enrichment when the system is overloaded.
Environment and inputs: Application-managed queues and worker orchestration; backend scheduling and recovery guarantees vary.
When to use it
Additional workers create coordination and resource costs as well as parallelism. Start with explicit artifact ownership and a shared completion definition, then test saturation and partial failure using controlled mock dependencies.
Check the result
Saturate the service and verify required operations retain capacity.
Save and compare results
Save the test input, configuration and result. Fix the failing boundary, repeat the same test and compare it with the saved working configuration.
Scope and limits
These exercises have not been tested on your systems. Check feature support and configuration names against the installed release and linked documentation.