#ratelimits — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #ratelimits, aggregated by home.social.
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🎉 Huzzah! DeepSeek-v3.1 is out, because clearly the world needed yet another #API #release that nobody asked for! 🤡 Dive into the riveting world of "Token Usage" and "Error Codes," because who doesn't love the thrill of rate limits? 💤
https://api-docs.deepseek.com/news/news250821 #DeepSeek #v3.1 #TokenUsage #ErrorCodes #RateLimits #HackerNews #ngated -
🎉 Huzzah! DeepSeek-v3.1 is out, because clearly the world needed yet another #API #release that nobody asked for! 🤡 Dive into the riveting world of "Token Usage" and "Error Codes," because who doesn't love the thrill of rate limits? 💤
https://api-docs.deepseek.com/news/news250821 #DeepSeek #v3.1 #TokenUsage #ErrorCodes #RateLimits #HackerNews #ngated -
🎉 Huzzah! DeepSeek-v3.1 is out, because clearly the world needed yet another #API #release that nobody asked for! 🤡 Dive into the riveting world of "Token Usage" and "Error Codes," because who doesn't love the thrill of rate limits? 💤
https://api-docs.deepseek.com/news/news250821 #DeepSeek #v3.1 #TokenUsage #ErrorCodes #RateLimits #HackerNews #ngated -
"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.
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:"
https://nordicapis.com/how-ai-agents-are-changing-api-rate-limit-approaches/