From 9e9cde648c5fb836d45d6ec7cccee7b092840059 Mon Sep 17 00:00:00 2001
From: aguitauwu <aguitauwu343@gmail.com>
Date: Wed, 11 Feb 2026 17:36:28 -0600
Subject: [PATCH] pos momas

---
 app/api/chat/route.ts | 74 ++++++++-----------------------------------
 1 file changed, 14 insertions(+), 60 deletions(-)

diff --git a/app/api/chat/route.ts b/app/api/chat/route.ts
index 08389df..b17f0d9 100644
--- a/app/api/chat/route.ts
+++ b/app/api/chat/route.ts
@@ -1,14 +1,6 @@
 import { NextRequest, NextResponse } from "next/server";
 
-<<<<<<< HEAD
-const HF_MODELS: Record<string, string> = {
-  "yuuki-v0.1": "YuuKi-OS/Yuuki-v0.1",
-  "yuuki-3.7": "YuuKi-OS/Yuuki-3.7",
-  "yuuki-best": "YuuKi-OS/Yuuki-best",
-};
-=======
 const YUUKI_API_URL = "https://opceanai-yuuki-api.hf.space/generate";
->>>>>>> fe68380 (uwu)
 
 const VALID_MODELS = ["yuuki-best", "yuuki-3.7", "yuuki-v0.1"];
 
@@ -21,14 +13,15 @@ async function callYuukiAPI(
   model: string
 ) {
   // Build a prompt from the message history
-  const prompt = messages
-    .map((m) => {
-      if (m.role === "system") return `System: ${m.content}`;
-      if (m.role === "user") return `User: ${m.content}`;
-      if (m.role === "assistant") return `Assistant: ${m.content}`;
-      return m.content;
-    })
-    .join("\n") + "\nAssistant:";
+  const prompt =
+    messages
+      .map((m) => {
+        if (m.role === "system") return `System: ${m.content}`;
+        if (m.role === "user") return `User: ${m.content}`;
+        if (m.role === "assistant") return `Assistant: ${m.content}`;
+        return m.content;
+      })
+      .join("\n") + "\nAssistant:";
 
   const response = await fetch(YUUKI_API_URL, {
     method: "POST",
@@ -52,46 +45,7 @@ async function callYuukiAPI(
 
   const data = await response.json();
 
-<<<<<<< HEAD
-/**
- * Calls HuggingFace Inference API via the new router.huggingface.co endpoint.
- * Uses the OpenAI-compatible chat completions format.
- */
-async function callHuggingFace(
-  token: string,
-  model: string,
-  messages: { role: string; content: string }[]
-) {
-  const modelId = HF_MODELS[model] || HF_MODELS["yuuki-best"];
-  const url = `https://router.huggingface.co/hf-inference/models/${modelId}/v1/chat/completions`;
-
-  const response = await fetch(url, {
-    method: "POST",
-    headers: {
-      Authorization: `Bearer ${token}`,
-      "Content-Type": "application/json",
-    },
-    body: JSON.stringify({
-      model: modelId,
-      messages,
-      max_tokens: 1024,
-      temperature: 0.7,
-      top_p: 0.9,
-    }),
-  });
-
-  if (!response.ok) {
-    const errorText = await response.text();
-    throw new Error(
-      `HuggingFace error (${response.status}): ${errorText.slice(0, 200)}`
-    );
-  }
-
-  const data = await response.json();
-  const content =
-    data.choices?.[0]?.message?.content?.trim() || "No response generated.";
-=======
-  // Handle various response formats from the HF Space
+  // Handle various response formats
   let generatedText = "";
 
   if (typeof data === "string") {
@@ -108,17 +62,16 @@ async function callHuggingFace(
     generatedText = JSON.stringify(data);
   }
 
-  // Clean up conversational artifacts
+  // Clean conversational artifacts
   const cutoffs = ["User:", "System:", "\nUser", "\nSystem"];
   for (const cutoff of cutoffs) {
     const idx = generatedText.indexOf(cutoff);
     if (idx > 0) generatedText = generatedText.substring(0, idx).trim();
   }
->>>>>>> fe68380 (uwu)
 
   return {
-    content,
-    id: data.id || `chatcmpl-${Date.now()}`,
+    content: generatedText || "No response generated.",
+    id: `chatcmpl-${Date.now()}`,
     model,
   };
 }
@@ -136,6 +89,7 @@ export async function POST(req: NextRequest) {
     }
 
     const modelKey = model || "yuuki-best";
+
     if (!VALID_MODELS.includes(modelKey)) {
       return NextResponse.json({ error: "Invalid model" }, { status: 400 });
     }