feat: refactor frontend and fix LLM extraction

- Fix critical await bug in extract-stream endpoint
- Add comprehensive logging to LLM and parser modules
- Implement fallback to standard completion for incompatible models
- Create enhanced v2.0 prompts with social media handling and few-shot examples
- Add LLM health check endpoint
- Decompose share page into 6 focused Svelte 5 snippets

Resolves LM Studio integration issues and improves code maintainability

src/routes/api/extract-stream/+server.ts

@@ -40,7 +40,7 @@ export const POST: RequestHandler = async ({ request }) => {
 					timestamp: new Date().toISOString()
 				});
 
-				const recipe = extractRecipe(extracted.bodyText);
+				const recipe = await extractRecipe(extracted.bodyText);
 
 				// Send final result
 				const completeEvent: ProgressEvent = {

src/routes/api/llm-health/+server.ts

@@ -0,0 +1,30 @@
+import { json } from '@sveltejs/kit';
+import { checkLLMHealth } from '$lib/server/llm';
+
+/**
+ * Health check endpoint for LLM service
+ * Tests connectivity to LM Studio or OpenAI-compatible endpoint
+ */
+export async function GET() {
+	try {
+		const isHealthy = await checkLLMHealth();
+
+		if (isHealthy) {
+			return json({ 
+				status: 'healthy', 
+				message: 'LLM service is accessible' 
+			});
+		} else {
+			return json({ 
+				status: 'unhealthy', 
+				message: 'LLM service is not accessible' 
+			}, { status: 503 });
+		}
+	} catch (error) {
+		const errorMessage = error instanceof Error ? error.message : 'Unknown error';
+		return json({ 
+			status: 'error', 
+			message: errorMessage 
+		}, { status: 500 });
+	}
+}