The original title is: "Why Your LLM Applications Crash in Production (and How to Fix It Under 15 Microseconds)"

Short summary

LLM applications crash in production when outputs truncate mid-sentence or malformat—missing brackets, wrong quotes, Python-style booleans. higi is a Python middleware that self-heals these structural errors before they reach your parsing logic via format normalization, type coercion, and bracket completion. Benchmarks show 15.14 microseconds overhead per call—only 0.0015% of typical LLM latency—while guaranteeing 100% parsing resilience.

• •LLM outputs fail production parsers when truncated or malformatted
• •higi middleware auto-heals JSON/strings with format normalization and type coercion
• •15.14 μs overhead adds negligible latency while achieving 100% parsing resilience

Generated with AI, which can make mistakes.