Durable Execution
How do timeouts work in durable execution for AI agent workflows?
Timeouts define a maximum duration for a workflow step or entire workflow. In Catalyst, you set timeout durations per activity or workflow using Dapr Workflow configuration. If a step exceeds its timeout, the workflow fails that step and may trigger retry or compensation. This prevents stuck agents from blocking the system. Timeouts are essential for probabilistic AI steps that may hang on long-running model calls.
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- Durable Execution
What is durable execution in AI agent workflows?
Durable execution means an AI agent workflow can keep its progress even when a process crashes, a tool call fails, or the system restarts.
- Durable Execution
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