LLM Circuit Breakers and Fallback Chains: Multi-Provider Failover in Production (2026)
Circuit breakers, fallback chains, hedging, and bulkheads for LLM apps: patterns that keep OpenAI, Anthropic, and Gemini outages from taking you down.
Circuit breakers, fallback chains, hedging, and bulkheads for LLM apps: patterns that keep OpenAI, Anthropic, and Gemini outages from taking you down.
Production LLM streaming over SSE: fix nginx buffering, propagate cancellation to the provider, handle backpressure, and instrument TTFT for OpenAI, Anthropic, and Gemini.
A production playbook for handling HTTP 429 responses from OpenAI, Anthropic, and Gemini in 2026: retry-after, exponential backoff with jitter, token buckets, circuit breakers, and multi-provider fallback.
A practical, evaluation-first guide to shipping text-to-SQL with LLMs in production: schema linking as RAG, semantic layers, three-stage query validation, and defense-in-depth guardrails, with runnable code and 2026 benchmark numbers.
OpenAI Batch API and Anthropic Message Batches both cut LLM token costs by 50% in exchange for a 24-hour SLA. Here is when batch wins, working Python for both, and the production pitfalls nobody mentions.