Original Summary

Founder of Rynler here. I've built a text-inference API for developers adding an LLM step to a script or automation. The product uses prepaid USD credits: start with $10, use them as needed, with no subscription and no credit expiry. The API exposes an OpenAI-compatible Chat Completions endpoint, so a small text task can live inside an existing application or an HTTP Request node in n8n. A concrete starting point is support-message classification: send a short message, return billing / bug / account / other, validate the label, then route it for review. You can evaluate that one step without rebuilding the whole workflow. One implementation choice was to keep the initial API scope explicit: text Chat Completions, an 8,192-token total request limit, and an Idempotency-Key per request. Agent tools and JSON Schema enforcement are outside the current scope. Product, current model pricing and docs: https://rynler.com I'm interested in which small text task builders would plug in first: classification, short summaries, or rewriting. If you have one in mind, share an invented input and the output you want; I can suggest the request shape and integration steps.   submitted by   /u/SharePuzzleheaded844 [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/18 14:09:26