LLM Routing in Practice — How to Select Models Automatically
Classifier-based routing, rule-based fallbacks and hybrid approaches: How to use Model Prism to select the right model for every request while balancing cost and quality.
Read morePractical knowledge from the field — LLMOps, routing, cost optimization, agentic systems and enterprise AI.
Classifier-based routing, rule-based fallbacks and hybrid approaches: How to use Model Prism to select the right model for every request while balancing cost and quality.
Read moreInput tokens, output tokens, caching and batching: A deep dive into the pricing models of major LLM providers and how to save up to 70% in costs with the right strategies.
Read moreHow to build an LLM gateway so that different teams and customers can securely and in isolation access shared model infrastructure — with RBAC, audit logs and rate limits.
Read moreContext windows are finite and expensive. How to manage context efficiently, what chunking and RAG actually deliver and why "just put everything in" is not a strategy.
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