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Working with the LLM API

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

⚡ TL;DR: Treat the LLM API as a function over a message list. You will walk away able to send chat requests, stream responses, force structured JSON, wire up tool calling, and handle the errors and rate limits that bite in production. Contents You have an API key. Now what? The one mental model: it…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-09-09 14:56 · DEV Community — Machine Learning
    Working with the LLM API

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