When a production agent workflow fails and I need to understand its reasoning, how do the debugging and replay capabilities of Catalyst, DBOS, and Inngest differ in exposing the chain of LLM calls and intermediate state?

All three platforms offer debugging capabilities to reconstruct agent decision chains after failure. Catalyst provides a timeline of step-level LLM inputs and outputs in its managed dashboard. DBOS stores durable workflow state in PostgreSQL, queryable via observability tools. Inngest surfaces per-function event payloads and logs. However, none automatically diagnose the root cause; they require manual investigation, and cross-platform event correlation remains a custom task.