feat: use marka api in all apis

lib/openai.ts

@@ -25,10 +25,12 @@ function extractListFromResponse(response?: string): string[] {
     .filter((line) => line.length > 2);
 }
 
+const model = "gpt-4.1-mini";
+
 export async function summarize(content: string) {
   if (!openAI) return;
   const chatCompletion = await openAI.chat.completions.create({
-    model: "gpt-3.5-turbo",
+    model: model,
     messages: [
       {
         role: "user",
@@ -44,7 +46,7 @@ export async function summarize(content: string) {
 export async function shortenTitle(content: string) {
   if (!openAI) return;
   const chatCompletion = await openAI.chat.completions.create({
-    model: "gpt-3.5-turbo",
+    model: model,
     messages: [
       {
         role: "system",
@@ -64,7 +66,7 @@ export async function shortenTitle(content: string) {
 export async function extractAuthorName(content: string) {
   if (!openAI) return;
   const chatCompletion = await openAI.chat.completions.create({
-    model: "gpt-3.5-turbo",
+    model: model,
     messages: [
       {
         role: "system",
@@ -95,7 +97,7 @@ export async function createGenres(
 ) {
   if (!openAI) return;
   const chatCompletion = await openAI.chat.completions.create({
-    model: "gpt-3.5-turbo",
+    model: model,
     messages: [
       {
         role: "system",
@@ -123,7 +125,7 @@ export async function createKeywords(
 ) {
   if (!openAI) return;
   const chatCompletion = await openAI.chat.completions.create({
-    model: "gpt-3.5-turbo",
+    model: model,
     messages: [
       {
         "role": "system",
@@ -155,7 +157,7 @@ export const getMovieRecommendations = async (
   if (cache.has(cacheId)) return cache.get(cacheId);
 
   const chatCompletion = await openAI.chat.completions.create({
-    model: "gpt-3.5-turbo",
+    model: model,
     messages: [
       {
         role: "user",
@@ -193,7 +195,7 @@ respond with a plain unordered list each item starting with the year the movie w
 export async function createTags(content: string) {
   if (!openAI) return;
   const chatCompletion = await openAI.chat.completions.create({
-    model: "gpt-3.5-turbo",
+    model: model,
     messages: [
       {
         role: "system",
@@ -212,7 +214,7 @@ export async function createTags(content: string) {
 export async function extractRecipe(content: string) {
   if (!openAI) return;
   const completion = await openAI.beta.chat.completions.parse({
-    model: "gpt-4o-2024-08-06",
+    model: model,
     temperature: 0.1,
     messages: [
       {
@@ -230,7 +232,7 @@ export async function extractRecipe(content: string) {
 export async function extractArticleMetadata(content: string) {
   if (!openAI) return;
   const completion = await openAI.beta.chat.completions.parse({
-    model: "gpt-4o-2024-08-06",
+    model: model,
     temperature: 0.1,
     messages: [
       {

lib/recipeSchema.ts

@@ -33,8 +33,7 @@ const recipeSchema = z.object({
     .describe("List of ingredients"),
   recipeInstructions: z.array(z.string()).describe("List of instructions"),
   recipeYield: z.number().describe("Amount of Portions"),
-  prepTime: z.number().describe("Preparation time in minutes"),
-  cookTime: z.number().describe("Cooking time in minutes"),
+  totalTime: z.number().describe("Preparation time in minutes"),
 });
 
 export type Recipe = z.infer<typeof recipeSchema>;

lib/resource/recipes.ts

@@ -1,21 +1,17 @@
 export type Recipe = {
-  type: "recipe";
-  id: string;
-  name: string;
-  description?: string;
-  markdown?: string;
-  ingredients: (Ingredient | IngredientGroup)[];
-  instructions?: string[];
-  notes?: string[];
-  tags: string[];
-  meta?: {
-    time?: string;
-    link?: string;
-    image?: string;
-    rating?: number;
-    portion?: number;
-    author?: string;
-    average?: string;
-    thumbnail?: string;
+  _type: "Recipe";
+  author?: {
+    _type: "Person";
+    name?: string;
   };
+  description?: string;
+  image?: string;
+  name?: string;
+  recipeIngredient?: string[];
+  recipeInstructions?: string[];
+  datePublished?: string;
+  totalTime?: string;
+  recipeYield?: number;
+  url?: string;
+  keywords?: string[];
 };