How to Build Bulletproof AI Agents with Autonomous Multi-Model Fallbacks
Single-model agent pipelines are fragile. When your LLM provider encounters latency spikes or schema drift, your entire business workflow stalls. Here is how to design an enterprise-grade agent with automated failover in Python. The Problem with Naive Agent Loops Most LangChain or basic Python agent implementations look like this: User input -> LLM -> Tool Call -> Response. If the LLM returns…
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