4 posts tagged with "backend"

Most AI projects don't need a fleet of orchestration tools to run a few prompt chains. The real work is state management, retries, scheduling, and simple persistence—the operational glue between LLM API calls.

This post shows you how to build a production-ready text summarization workflow using Codehooks.io, the Workflow API, and OpenAI. You'll learn:

• OpenAI API integration patterns: Error handling, retries, rate limiting, and cost optimization
• Workflow state management: Building reliable multi-step processes with caching and persistence
• Webhook triggers: Event-driven workflows that respond to GitHub issues (and other external services)
• Programmatic access: How to trigger and manage workflows via REST API, CLI, and webhooks

By the end, you'll have a working summarizer that caches results, stores them in a NoSQL database, and can be triggered via REST API or GitHub webhooks—all deployed with a single command.

Here's the workflow we'll build:

An API is an interface that lets software communicate by defining how to make requests and receive responses. A REST API is a specific kind of API that follows REST principles over HTTP—using methods like GET, POST, PUT, and DELETE to work with resources. All REST APIs are APIs, but not all APIs are REST.

Confused? Don't worry. In this post, you'll learn everything about the API and REST API domain—from core concepts and key differences to how REST+JSON became the web's standard. We'll explore why REST APIs dominate today's development landscape, compare different backend service models, and finally show you how to build your own APIs in practice using Codehooks.io.

APIs (Application Programming Interfaces) and webhooks are crucial for connecting different systems, enhancing software capabilities, and creating seamless user experiences. Whether you're pulling data from external services or receiving real-time events via webhooks, API integration is at the heart of modern application development. This guide will provide examples to walk you through understanding the meaning of API integration, implementing, and overcoming challenges in API integration, making the process easier and more efficient.

ChatGPT and other advanced AI language models have become an integral part of the modern development workflow. From GPT-4 to Claude and other competitors, these AI assistants have transformed how we approach coding and content creation. And we understand why! These AI models have proven themselves invaluable for producing all kinds of text and code, helping developers work more efficiently and creatively than ever before.

While modern AI models are now well-versed in a wide range of technologies and frameworks, we've found that providing concrete examples still leads to the best results. This approach helps the AI understand exactly how we want to use codehooks.io's specific features and conventions, ensuring the generated code follows our best practices.