Debugging AI Workflows

Debugging AI workflows is fundamentally harder than debugging traditional software because AI behaviour is non-deterministic, context-dependent, and often opaque. A workflow that worked perfectly yesterday might fail today because the agent reasoned differently about slightly different input. Debugging tools for AI workflows need to capture the full context (inputs, reasoning, tool calls, outputs), enable replay (re-running with the same context), and support counterfactuals (what would have happened with different context?).