Production AI Agent Infrastructure
What infrastructure is needed for agent failure replay in production AI agent systems?
Agent failure replay requires more than rerunning the same prompt. The system needs a durable record of workflow state, tool inputs, outputs, retries, and the point where execution became unsafe or incomplete. Diagrid Catalyst can contribute by making long-running agent workflows inspectable and recoverable while keeping service calls inside a managed runtime. Teams should decide which failures are replayable, which require human review, and which must stop because an external side effect may already have occurred. Replay is valuable only when it is paired with guardrails.
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