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Beyond Static Fallbacks: Agentic Error Handling in AI Pipelines
Most AI pipeline tutorials show the happy path. But what happens when APIs go down, keys expire, or your transcription chain silently breaks at 2 AM? This episode explores the gap between "works in a demo" and "works for six months without thinking about it." We start with LangChain's `with_fallbacks` method and the adapter pattern for provider interchangeability, then move to intelligent routing — using LLMs to classify errors, select fallbacks based on provider strengths, and even build orchestrator agents that rewrite pipeline steps on the fly. If you're building production AI pipelines…
The skinny
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