style(api): standardize API route file formatting

src/app/api/ai-event/route.ts

@@ -1,16 +1,17 @@
 import { NextResponse } from "next/server";
 import { auth } from "@/auth";
 import { headers } from "next/headers";
+import { openRouterClient } from "@/lib/openrouter-client";
 
 export async function POST(request: Request) {
 	const session = await auth.api.getSession({
 		headers: await headers(),
 	});
-	
+
 	if (!session?.user) {
 		return NextResponse.json(
 			{ error: "Authentication required" },
-			{ status: 401 }
+			{ status: 401 },
 		);
 	}
 
@@ -20,13 +21,13 @@ export async function POST(request: Request) {
 	if (!prompt || typeof prompt !== "string" || prompt.trim().length === 0) {
 		return NextResponse.json(
 			{ error: "Prompt is required and must be a non-empty string" },
-			{ status: 400 }
+			{ status: 400 },
 		);
 	}
 	if (prompt.length > 2000) {
 		return NextResponse.json(
 			{ error: "Prompt must be less than 2000 characters" },
-			{ status: 400 }
+			{ status: 400 },
 		);
 	}
 
@@ -57,29 +58,23 @@ Rules:
   - Output ONLY valid JSON (no prose).
 `;
 
-	const res = await fetch("https://openrouter.ai/api/v1/chat/completions", {
-		method: "POST",
-		headers: {
-			Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
-			"Content-Type": "application/json",
-		},
-		body: JSON.stringify({
-			model: "openai/gpt-4.1-nano",
-			messages: [
-				{ role: "system", content: systemPrompt },
-				{ role: "user", content: prompt },
-			],
-		}),
-	});
-
-	const data = await res.json();
 	try {
-		const content = data.choices[0].message.content;
+		const result = openRouterClient.callModel({
-		const parsed = JSON.parse(content);
+			model: "openai/gpt-5.4-mini",
+			instructions: systemPrompt,
+			input: prompt,
+		});
+
+		const text = await result.getText();
+		const parsed = JSON.parse(text);
 		return NextResponse.json(parsed);
-	} catch {
+	} catch (error) {
+		console.error("AI Event Creation Error:", error);
 		return NextResponse.json(
-			{ error: "Failed to parse AI output", raw: data },
+			{
+				error: "Failed to parse AI output",
+				raw: error instanceof Error ? error.message : error,
+			},
 			{ status: 500 },
 		);
 	}

src/app/api/ai-summary/route.ts

@@ -1,6 +1,7 @@
 import { NextResponse } from "next/server";
 import { auth } from "@/auth";
 import { headers } from "next/headers";
+import { openRouterClient } from "@/lib/openrouter-client";
 
 export async function POST(request: Request) {
 	const session = await auth.api.getSession({
@@ -30,32 +31,18 @@ export async function POST(request: Request) {
 			);
 		}
 
-		const res = await fetch("https://openrouter.ai/api/v1/chat/completions", {
+		const result = openRouterClient.callModel({
-			method: "POST",
+			model: "@preset/i-cal-editor-summarize", // FREE model
-			headers: {
+			instructions:
-				Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`, // Server-side only
+				"You summarize a list of events in natural language. Include date, time, and title. Be concise.",
-				"Content-Type": "application/json",
+			input: JSON.stringify(events),
-			},
+			temperature: 0.4,
-			body: JSON.stringify({
-				model: "@preset/i-cal-editor-summarize", // FREE model
-				messages: [
-					{
-						role: "system",
-						content: `You summarize a list of events in natural language. Include date, time, and title. Be concise.`,
-					},
-					{ role: "user", content: JSON.stringify(events) },
-				],
-				temperature: 0.4,
-				// max_tokens: 300,
-			}),
 		});
 
-		const data = await res.json();
+		const summary = await result.getText();
-		const summary =
-			data?.choices?.[0]?.message?.content || "No summary generated.";
 		return NextResponse.json({ summary });
 	} catch (error) {
-		console.error(error);
+		console.error("AI Summary Error:", error);
 		return NextResponse.json(
 			{ error: "Failed to summarize events" },
 			{ status: 500 },