Creating an OpenAI Service | #11 Building an App with Effect скачать в хорошем качестве

Creating an OpenAI Service | #11 Building an App with Effect

👉 Enroll to Practical Effect here: https://lucasbarake.com/ Buy me a coffee! https://buymeacoffee.com/lucasbarake Repo: https://github.com/lucas-barake/build... In this video, we build a foundational, type-safe AI service from scratch using Effect TS. We start by designing a core AI model interface that's provider-agnostic, allowing for future integrations with services beyond just OpenAI. We then proceed to build the first implementation for this service using the OpenAI API. This involves creating a dedicated provider to handle configuration and constructing a resilient HTTP client with built-in retries. The video walks through the implementation of three key methods: generating plain text, generating structured JSON objects using Effect Schema, and streaming responses in real-time. The tutorial concludes with a live test to demonstrate that all three functions—text, object, and stream—are working correctly. 00:00:00 - Why Build a Custom AI Service? 00:00:30 - Defining the Core AI Model Interface 00:01:56 - Designing the Service Methods 00:02:55 - Creating a Custom Error Type 00:05:07 - Setting up the OpenAI Provider 00:06:44 - Building the HTTP Client 00:08:39 - Creating the Provider Layer 00:10:01 - Scaffolding the OpenAI Model Implementation 00:11:41 - Implementing generateText 00:14:42 - Implementing generateObject for Structured Output 00:17:03 - Implementing streamText with Server-Sent Events 00:20:55 - Live Demo: Testing Text, Object, and Stream 00:26:36 - Recap & What's Coming Next