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/lib/server/llm.ts

@@ -2,11 +2,42 @@ import OpenAI from 'openai';
 import { env } from '$env/dynamic/private';
 
 export const createLLM = () => {
-    // Detect if we are using Ollama or OpenAI based on URL
-    const baseURL = env.OPENAI_BASE_URL;
-    const client = new OpenAI({
-        apiKey: env.OPENAI_API_KEY,
-        baseURL: baseURL
-    });
-    return { client, model: env.LLM_MODEL || 'gpt-4o' };
-};
+	// Detect if we are using Ollama or OpenAI based on URL
+	const baseURL = env.OPENAI_BASE_URL;
+	const apiKey = env.OPENAI_API_KEY;
+	const model = env.LLM_MODEL || 'gpt-4o';
+
+	console.log('[LLM] Initializing client...');
+	console.log('[LLM] Base URL:', baseURL);
+	console.log('[LLM] Model:', model);
+
+	if (!baseURL) {
+		throw new Error('OPENAI_BASE_URL environment variable is not set');
+	}
+
+	if (!apiKey) {
+		throw new Error('OPENAI_API_KEY environment variable is not set');
+	}
+
+	const client = new OpenAI({
+		apiKey,
+		baseURL
+	});
+
+	return { client, model };
+};
+
+/**
+ * Health check for LLM service
+ */
+export async function checkLLMHealth(): Promise<boolean> {
+	try {
+		const { client } = createLLM();
+		await client.models.list();
+		console.log('[LLM] Health check passed');
+		return true;
+	} catch (e) {
+		console.error('[LLM] Health check failed:', e);
+		return false;
+	}
+}