AWS Lambda Durable Functions: Building AI Workflows That Can Resume After Failure
Modern AI applications often involve multiple model calls, tool calls, API requests, and processing steps. A simple failure or timeout can force the entire workflow to restart, which can increase latency and cost.
Modern AI applications often involve multiple model calls, tool calls, API requests, and processing steps. A simple failure or timeout can force the entire workflow to restart, which can increase latency and cost.
AWS Lambda Durable Functions address this problem by allowing long-running workflows to save their progress and resume from the last completed step after an interruption. AWS recently added integration with Pydantic AI, a Python framework for building AI agents.
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