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Your LLM provider silently swapped models under you. Here is how to detect model drift with 6-dimension contract validation.

LiteLLM and Correctover serve different layers of the AI stack. One is a multi-provider gateway, the other is a verified failover runtime.

Lessons from building a production-grade self-healing layer for LLM APIs — what works, what doesn't, and the architecture decisions that separate toys from prod

Most LLM API monitoring only checks HTTP status codes. Here's why you need 6-dimensional contract validation — and how to implement it.

Most 'self-healing' LLM wrappers just retry on errors. True self-healing requires contract validation, drift detection, and verified failover. Here's the archit

Standard LLM failover switches providers on HTTP 200. Verified failover validates the response across 6 dimensions first. Learn why Correctover's approach preve

Multi-Provider LLM Failover: How to Automatically Switch When One API Goes Down Every...

Python LLM API Error Handling: A Complete Guide to 429 Rate Limits, Retries, and...

NeuralBridge adopts the Open Core model — the full SDK stays Apache 2.0, with optional Pro features for production teams.

Step-by-step guide to multi-provider LLM pipelines with automatic failover, cost optimization, and drift detection.

SDK-embedded self-healing vs proxy gateways for AI agents. Latency, reliability comparison with real benchmarks.

Real data on LLM API failure patterns: timeouts, rate limits, schema violations. How to build self-healing AI agents.

NeuralBridge is an embedded SDK that auto-heals LLM failures. 84.1% recovery rate, 19us diagnosis, 1 dependency. Apache 2.0.

NeuralBridge is an embedded self-healing SDK for LLM-powered AI agents. pip install in seconds, zero infrastructure.

LiteLLM vs 嵌入式自愈引擎架构对比：延迟、合规、可用性全面分析

Why Your AI API Keeps Breaking (And How to Fix It Before the User Notices) You know the...