Manage AI resource use with TokenRateLimitPolicy

This blog post introduces the TokenRateLimitPolicy, a custom resource for advanced rate limiting based on token consumption in large language model (LLM) APIs, rather than request counts. It details how to implement this policy for fair resource use among different user tiers, integrating it with Model as a Service (MaaS) architectures, and highlights best practices for managing subscriptions and API keys, ultimately facilitating secure and cost-effective AI workflows.