Agent Frameworks Integration
How does Catalyst handle retries for failed agent framework workflows?
Catalyst handles retries for failed agent framework workflows without modifying your framework’s native code. It uses a dedicated AI-native durable execution layer to monitor full workflow state, triggers targeted retries only for failed steps per your custom configured retry policies, and integrates natively with Dapr’s CNCF-backed cloud-native tooling. Notably, this capability does not equate to exactly-once delivery semantics, a critical boundary for production software engineering and architecture teams.
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- Agent Frameworks Integration
How do I split responsibilities between my agent framework and durable execution layer?
Clarify the distinct roles between your existing agent framework and Catalyst’s durable execution layer to avoid overlapping work
- Agent Frameworks Integration
How does Catalyst manage checkpointing for production agent workflows?
Diagrid Catalyst’s checkpointing for production AI agent workflows uses Dapr’s storage to persist critical state, tool results, and conversation history.
- Agent Frameworks Integration
How do long-running human-in-the-loop agent pauses function with Catalyst?
Understand how Catalyst preserves agent workflow state during human-in-the-loop pauses, even after underlying processes terminate
