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Centralizing AI Infrastructure: How to Configure LiteLLM as a Unified Proxy for Load Balancing, Caching, and Cost Management

Managing 10+ AI API keys across various LLM providers creates massive overhead, unpredictable costs, and operational vulnerabilities. This comprehensive guide demonstrates how to deploy LiteLLM as a centralized enterprise proxy, complete with production-ready configurations for intelligent load balancing, semantic caching, and granular cost tracking.

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Centralizing AI Infrastructure: How to Configure LiteLLM as a Unified Proxy for Load Balancing, Caching, and Cost Management | Xylentis