import { OpenAiClient, OpenAiLanguageModel } from "@effect/ai-openai";
import { Config, Layer } from "effect";
import { FetchHttpClient } from "effect/http";

// The LLM is wired as a Layer so it can be swapped without touching the actor.
// The actor's action handlers require the `LanguageModel` service; this Layer
// satisfies that requirement with a real OpenAI model.
//
// `LanguageModel` is produced by `OpenAiLanguageModel.layer`, which needs an
// `OpenAiClient`, which in turn needs an `HttpClient`. Composing the three with
// `Layer.provide` yields a single `Layer<LanguageModel>`.
//
// `OPENAI_API_KEY` is read from config. `OPENAI_BASE_URL` is optional: leave it
// unset to hit the real OpenAI API, or point it at any OpenAI-compatible
// endpoint (this is the same knob the test uses to target a mock server).
export const OpenAiModelLayer = OpenAiLanguageModel.layer({
	model: "gpt-4o-mini",
}).pipe(
	Layer.provide(
		OpenAiClient.layerConfig({
			apiKey: Config.Redacted("OPENAI_API_KEY"),
			apiUrl: Config.String("OPENAI_BASE_URL").pipe(
				Config.withDefault("https://api.openai.com/v1"),
			),
		}),
	),
	Layer.provide(FetchHttpClient.layer),
);