Show HN: NeuralBridge - Self-Healing SDK for LLM-Powered AI Agents

Show HN: NeuralBridge — We Built a Self-Healing SDK for LLM-Powered Agents After months of production experience running LLM calls at scale, we realized something uncomfortable: every AI agent eventually crashes . Not because the code is wrong, but because LLM APIs fail in ways you can't predict. Timeouts. Rate limits. Empty responses. Schema violations. Drift. These aren't edge cases — they're the norm. So we built NeuralBridge: an embedded SDK that makes LLM calls self-healing. The Problem Try running 100,000 LLM calls through any single provider. You'll see: 2-5% failure rate from timeouts and 5xx errors Rate limits that cascade through your pipeline Schema violations when models change behavior Provider-specific quirks that require custom error handling 30-200ms of unnecessary latency from gateway proxies Most teams solve this by building their own retry logic, circuit breakers, and fallback chains. It works — until it doesn't. Because the next failure is always the one you didn't anticipate. Our Approach: Embedded Self-Healing Instead of a gateway (which adds latency and infrastructure), we embedded the reliability logic directly into the SDK: from neuralbridge import SelfHealingEngine engine = SelfHealingEngine () result = engine . call ( " Write a Python function for binary search " ) if result . recovered : print ( f " Fault: { result . diagnosis } " ) print ( f " Recovery: { result . recovery_action } " ) When a call fails, the engine: Diagnoses the fault type in ~19us (P50) Escalates through 4 layers: retry -> degrade -> failover -> learned rule Validates the output across 5 dimensions Learns from the experience for next time Production Results Metric Value Auto-recovery rate 84.1% of faults Fault patterns recognized 280+ Recovery strategies 30+ Learned rules (flywheel) 88+ Diagnosis latency 19us P50 Install size 375 KB Why Open Source? We went Apache 2.0 because reliability infrastructure should be a commodity. The SDK is free and open. Pro features (ente