Xytext – Turn LLM Prompts into Structured API Endpoints
Xytext – Turn LLM Prompts into Structured API Endpoints
I'm excited to share a tool we've been working on called Xytext. It's designed for developers and data analysts who want to harness the power of Large Language Models (LLMs) without getting bogged down in complexity. Xytext allows you to create API endpoint functions from simple prompts. Imagine defining input prompts and getting structured, predictable outputs that feel natural and manageable, even in production environments. Here's what makes Xytext different: Ease of Use: A straightforward UI to create and manage your functions. Hosted Function API: Quickly categorize, summarize, and recommend actions for inputs. Think low volume, high complexity (e.g. support tickets, google reviews) Customizable: Tailor your function logic, input prompts, and output schemas to your needs. We're looking for early users to try Xytext and provide feedback. To get started: Sign up at xytext.com > login Verify your email, then your account will be activated in a few hours with credits to play around with the system (unfortunately have to put this in place to prevent abuse of the free credits) Create your first function, test it out, and tell us what you think! We'd especially love to hear from HN users who have not worked with LLMs before and can provide insights on how Xytext compares to doing things manually or using other tools. Looking forward to your feedback and questions!
Share cardActual performance
Launch Intel predictions
Analyze your own launch →Incorrect prediction on native model
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