Replan on Failure

To recover a multi-agent orchestration workflow after a task failure, generate an updated DAG plan that evaluates failure impact, preserves completed work, and modifies downstream dependencies to keep work progressing.

Failure recovery handles budget overruns by recalculating token and cost budgets and recomputing the critical path to ensure the revised DAG plan respects financial constraints while maintaining acyclicity.

The best way to preserve completed work after a worker failure is to perform a salvage assessment on the DAG, which identifies unaffected outputs and securely integrates them into the updated recovery plan.

Yes, you can replan a task scheduling workflow when new requirements cause a scope change mid-execution by generating a revised DAG plan that invalidates affected downstream dependencies and integrates the new parameters.

To trigger a replan after an inspector rejection in an automated orchestration pipeline, instruct the foreman to remodel the workflow, which will classify the failure and generate an updated recovery plan.

Yes, replanning a failed DAG ensures the updated plan maintains acyclicity across all downstream tasks by validating the revised dependencies during the critical path recomputation phase.