Here’s a draft for a blog post introducing — a fictional or conceptual “general-purpose library” for developers, AI agents, or automation. You can adapt the name, tone, and technical details to your actual project. Title: Meet GenLib: One Library to Rule Your Generative Workflows Subtitle: Write less boilerplate, ship smarter agents. If you’ve been building with LLMs, agents, or generative pipelines recently, you’ve probably noticed a pattern: the first 80% of your code is always the same. Prompt templating, output parsing, retry logic, tool calling, memory management — it’s the hidden tax of “just making it work.”
import openai, json, time for i in range(3): try: response = openai.ChatCompletion.create(...) data = json.loads(response.choices[0].message.content) break except: time.sleep(2) After GenLib: genlib
Try it out:
We’re not trying to replace LangChain, LlamaIndex, or the native SDKs. We’re the that you can drop into any existing codebase — whether you’re building a CLI tool, a Discord bot, or a production RAG pipeline. A real example Before GenLib (raw OpenAI): Here’s a draft for a blog post introducing
That’s exactly why we built . What is GenLib? GenLib is an open‑source, language‑agnostic library (with first‑class Python and TypeScript support) that standardizes the core building blocks of generative applications. If you’ve been building with LLMs, agents, or
pip install genlib # or npm install genlib ⭐ Star us on GitHub → [github.com/your-org/genlib] 📖 Read the docs → [docs.genlib.dev] 🐦 Follow for updates → [@genlib]
Got a parser that never breaks? A retry strategy that saved you $100 in API credits?
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