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 more"The sky isn't the limit — we can already reach the moon."
ohara.systems — Enterprise-ready AI solutions. For everyone.
ohara AI Factory
Four tools. One vision: make AI teams more productive, safer, and cost-efficient.
Multi-tenant LLM gateway with intelligent routing and cost tracking — OpenAI-compatible.
A curated library of modular, production-ready AI agents — reusable, composable, and easy to integrate.
A framework for building, customizing, and deploying AI agents — from idea to production-ready system.
A prompt optimization engine as API middleware — automatically improves prompts and enforces configurable guardrails.
Practical knowledge from the field — LLMOps, routing, cost optimization and more.
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 moreStructured knowledge for AI teams — from fundamentals to production readiness.
What an LLM gateway does, when you need one, and how to set up Model Prism step by step. Perfect for those new to the topic.
Signal extraction, classifier models, cost tiers and rule sets — everything you need to bring intelligent routing into production.
Token economics, model tiers, routing strategies and baseline comparisons — how to systematically reduce your LLM costs by up to 70%.
Model Prism is open source, self-hosted and ready to deploy. Up and running in under 5 minutes — with Docker Compose or Kubernetes.