3 Tests That Pass in LangFlow But Fail in n8n Production

Short summary

LangFlow prototypes pass tests that fail in n8n production because the notebook environment hides fragility that production exposes. Three patterns: malformed LLM output requires validation layers, context windows fill unpredictably requiring budgets, and transient errors need retry logic with dead-letter queues.

• •Malformed JSON output from LLMs requires validation; LangFlow silently tolerates errors n8n rejects
• •Context window budgeting prevents generic outputs when multiple nodes accumulate state
• •Production requires explicit retry handlers with dead-letter queues, not manual re-runs

Generated with AI, which can make mistakes.