How to cut your AI API bill: caching, batching and model routing
Practical techniques to reduce LLM API costs without hurting quality: prompt caching, batch APIs, smaller models, routing, shorter contexts and output limits.
AI Desk4 min read
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#Apis
Every The Latent Daily story, tool, model and resource tagged “Apis”.
4 items
Model deprecations explained: what happens when an AI model is retired
AI providers regularly retire older models. How deprecation timelines work, what breaks when a model is shut down and how to plan migrations without surprises.
AI Desk3 min read
APIs & SDKsGuide
Your first LLM API call: a step-by-step guide in Python
Set up an API key safely, send your first request to a language model in Python, understand messages, tokens and parameters, and handle errors and costs.
AI Desk3 min read
APIs & SDKsGuide
Structured outputs and function calling: getting reliable data from LLMs
How to make language models return valid JSON that matches a schema, how function calling works, and how to validate outputs so your application never breaks.
AI Desk3 min read