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#apidesign

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"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:"

nordicapis.com/how-ai-agents-a

Nordic APIs · How AI Agents Are Changing API Rate Limit Approaches | Nordic APIs |AI agents are changing API usage patterns — here's how adaptive rate limiting helps handle their unpredictable, high-volume traffic.
#AI#AIBots#ARL

"APIs are like pipes" ... well I can't say I haven't used that analogy before, but I have to agree with @matthew that it's a bad analogy because it reduces #APIs to dumb plumbing instead of using #APIDesign to create opportunities for better data access; in the article Matthew also suggests alternate analogies: netapinotes.com/apis-arent-pip

Net API Notes · APIs Aren't Pipes (and That's a Good Thing)Net API Notes for 2025/06/18, Issue 252

🏗️ Als jullie een API bouwen, beginnen jullie dan met het definiëren van een openapi.yaml (Open API Spec, kortweg OAS) of start je direct met programmeren?

Dat laatste is natuurlijk aantrekkelijk, maar niet altijd slim. Hoe je OAS-first werkt vind je in ons artikel van collega @dvh:

developer.overheid.nl/kennisba

developer.overheid.nlBouw een API | developer.overheid.nlHier leggen we uit welke stappen je kunt doorlopen om snel en efficiënt een nieuwe REST API te ontwikkelen. We gaan hierbij uit van een design first aanpak, dus we starten met het API design.