LLM for Text Summarization: Best Practices and Optimization Techniques (opens in new tab)

We are going to build a production-ready document summarizer that ingests long-form text and emits structured JSON with a TL;DR, key points, and action items. If you process research papers, support tickets, or meeting transcripts, this gives you a reusable pipeline you can drop into any backend. What you'll need Python 3.10 or newer An Oxlo.ai API key from The OpenAI SDK: pip install openai Step 1: Verify connectivity with a quick smoke test I always start by confirming the API contract work...