fix(RECIPE-0001): complete iteration 0 — automatic model loading and error display fix

src/lib/server/parser.ts

@@ -1,4 +1,4 @@
-import { createLLM } from './llm';
+import { createLLM, checkModelAvailability } from './llm';
 import { zodResponseFormat } from 'openai/helpers/zod';
 import { z } from 'zod';
 import { RECIPE_DETECTION_PROMPT, RECIPE_EXTRACTION_PROMPT } from './prompts/recipe-extraction';
@@ -56,6 +56,21 @@ export async function detectRecipe(text: string): Promise<boolean> {
 	} catch (e) {
 		console.error('[LLM] Recipe detection error:', e);
 		console.error('[LLM] Stack trace:', (e as Error).stack);
+
+		// Check if this is a model-related error
+		const errorMessage = (e as Error).message || '';
+		const isModelError = errorMessage.includes('400') &&
+			(errorMessage.toLowerCase().includes('model') ||
+				errorMessage.toLowerCase().includes('load'));
+
+		if (isModelError) {
+			const { model } = createLLM();
+			const modelCheck = await checkModelAvailability(model);
+			if (!modelCheck.available) {
+				throw new Error(modelCheck.message || `Model "${model}" is not available`);
+			}
+		}
+
 		throw new Error(`Failed to detect recipe: ${(e as Error).message}`);
 	}
 }
@@ -100,6 +115,20 @@ export async function parseRecipe(text: string): Promise<Recipe> {
 		console.error('[LLM] Recipe parsing error:', e);
 		console.error('[LLM] Stack trace:', (e as Error).stack);
 
+		// Check if this is a model-related error
+		const errorMessage = (e as Error).message || '';
+		const isModelError = errorMessage.includes('400') &&
+			(errorMessage.toLowerCase().includes('model') ||
+				errorMessage.toLowerCase().includes('load'));
+
+		if (isModelError) {
+			const { model } = createLLM();
+			const modelCheck = await checkModelAvailability(model);
+			if (!modelCheck.available) {
+				throw new Error(modelCheck.message || `Model "${model}" is not available`);
+			}
+		}
+
 		// If structured output fails, try standard completion
 		if ((e as any).message?.includes('response_format') ||
 			(e as any).message?.includes('structured output')) {