Miguel Afonso Caetano<p>"Traditional approaches to rate limiting APIs won’t work effectively for AI agent consumers, so some API providers have shifted to adaptive rate limiting (ARL). For example, DeepSeek employs a more dynamic and adaptive approach to rate limiting its API compared to other LLM API providers currently.</p><p>The concept of adaptive rate limiting isn’t new, but it’s evolving to address new API usage scenarios that include AI agents. Modern ARL involves a set of principles, tools, and techniques that allow systems to adjust rate limits dynamically based on context and real-time insights. It includes a combination of approaches:"</p><p><a href="https://nordicapis.com/how-ai-agents-are-changing-api-rate-limit-approaches/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">nordicapis.com/how-ai-agents-a</span><span class="invisible">re-changing-api-rate-limit-approaches/</span></a></p><p><a href="https://tldr.nettime.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://tldr.nettime.org/tags/AIBots" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIBots</span></a> <a href="https://tldr.nettime.org/tags/ARL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ARL</span></a> <a href="https://tldr.nettime.org/tags/RateLimits" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RateLimits</span></a> <a href="https://tldr.nettime.org/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIAgents</span></a> <a href="https://tldr.nettime.org/tags/APIs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>APIs</span></a> <a href="https://tldr.nettime.org/tags/APIDesign" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>APIDesign</span></a></p>