feat(chat-route): lint & beautify

feat(upload): save files uploaded after chat created
feat(ollama): add ability to provide api key
2025-09-15 14:01:31 +00:00 · 2025-08-21 17:48:55 +05:30 · 2025-08-21 17:47:49 +05:30 · 2025-08-20 20:32:13 +05:30 · 2025-08-20 20:21:06 +05:30 · 2025-08-20 20:20:50 +05:30
41 changed files with 1436 additions and 1363 deletions
--- a/package.json
+++ b/package.json
@@ -15,11 +15,13 @@
    "@headlessui/react": "^2.2.0",
    "@iarna/toml": "^2.2.5",
    "@icons-pack/react-simple-icons": "^12.3.0",
-    "@langchain/anthropic": "^0.3.15",
-    "@langchain/community": "^0.3.36",
-    "@langchain/core": "^0.3.42",
-    "@langchain/google-genai": "^0.1.12",
-    "@langchain/openai": "^0.0.25",
+    "@langchain/anthropic": "^0.3.24",
+    "@langchain/community": "^0.3.49",
+    "@langchain/core": "^0.3.66",
+    "@langchain/google-genai": "^0.2.15",
+    "@langchain/groq": "^0.2.3",
+    "@langchain/ollama": "^0.2.3",
+    "@langchain/openai": "^0.6.2",
    "@langchain/textsplitters": "^0.1.0",
    "@tailwindcss/typography": "^0.5.12",
    "@xenova/transformers": "^2.17.2",
@@ -31,7 +33,7 @@
    "drizzle-orm": "^0.40.1",
    "html-to-text": "^9.0.5",
    "jspdf": "^3.0.1",
-    "langchain": "^0.1.30",
+    "langchain": "^0.3.30",
    "lucide-react": "^0.363.0",
    "mammoth": "^1.9.1",
    "markdown-to-jsx": "^7.7.2",
--- a/src/app/api/chat/route.ts
+++ b/src/app/api/chat/route.ts
@@ -1,11 +1,7 @@
-import prompts from '@/lib/prompts';
-import MetaSearchAgent from '@/lib/search/metaSearchAgent';
 import crypto from 'crypto';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
 import { EventEmitter } from 'stream';
 import {
-  chatModelProviders,
-  embeddingModelProviders,
  getAvailableChatModelProviders,
  getAvailableEmbeddingModelProviders,
 } from '@/lib/providers';
@@ -138,6 +134,8 @@ const handleHistorySave = async (
    where: eq(chats.id, message.chatId),
  });

+  const fileData = files.map(getFileDetails);
+
  if (!chat) {
    await db
      .insert(chats)
@@ -146,9 +144,15 @@ const handleHistorySave = async (
        title: message.content,
        createdAt: new Date().toString(),
        focusMode: focusMode,
-        files: files.map(getFileDetails),
+        files: fileData,
      })
      .execute();
+  } else if (JSON.stringify(chat.files ?? []) != JSON.stringify(fileData)) {
+    db.update(chats)
+      .set({
+        files: files.map(getFileDetails),
+      })
+      .where(eq(chats.id, message.chatId));
  }

  const messageExists = await db.query.messages.findFirst({
@@ -223,7 +227,7 @@ export const POST = async (req: Request) => {

    if (body.chatModel?.provider === 'custom_openai') {
      llm = new ChatOpenAI({
-        openAIApiKey: getCustomOpenaiApiKey(),
+        apiKey: getCustomOpenaiApiKey(),
        modelName: getCustomOpenaiModelName(),
        temperature: 0.7,
        configuration: {
--- a/src/app/api/config/route.ts
+++ b/src/app/api/config/route.ts
@@ -11,6 +11,7 @@ import {
  getAimlApiKey,
  getLMStudioApiEndpoint,
  updateConfig,
+  getOllamaApiKey,
 } from '@/lib/config';
 import {
  getAvailableChatModelProviders,
@@ -53,6 +54,7 @@ export const GET = async (req: Request) => {

    config['openaiApiKey'] = getOpenaiApiKey();
    config['ollamaApiUrl'] = getOllamaApiEndpoint();
+    config['ollamaApiKey'] = getOllamaApiKey();
    config['lmStudioApiUrl'] = getLMStudioApiEndpoint();
    config['anthropicApiKey'] = getAnthropicApiKey();
    config['groqApiKey'] = getGroqApiKey();
@@ -93,6 +95,7 @@ export const POST = async (req: Request) => {
        },
        OLLAMA: {
          API_URL: config.ollamaApiUrl,
+          API_KEY: config.ollamaApiKey,
        },
        DEEPSEEK: {
          API_KEY: config.deepseekApiKey,
--- a/src/app/api/discover/route.ts
+++ b/src/app/api/discover/route.ts
@@ -1,55 +1,72 @@
 import { searchSearxng } from '@/lib/searxng';

-const articleWebsites = [
-  'yahoo.com',
-  'www.exchangewire.com',
-  'businessinsider.com',
-  /* 'wired.com',
-  'mashable.com',
-  'theverge.com',
-  'gizmodo.com',
-  'cnet.com',
-  'venturebeat.com', */
-];
+const websitesForTopic = {
+  tech: {
+    query: ['technology news', 'latest tech', 'AI', 'science and innovation'],
+    links: ['techcrunch.com', 'wired.com', 'theverge.com'],
+  },
+  finance: {
+    query: ['finance news', 'economy', 'stock market', 'investing'],
+    links: ['bloomberg.com', 'cnbc.com', 'marketwatch.com'],
+  },
+  art: {
+    query: ['art news', 'culture', 'modern art', 'cultural events'],
+    links: ['artnews.com', 'hyperallergic.com', 'theartnewspaper.com'],
+  },
+  sports: {
+    query: ['sports news', 'latest sports', 'cricket football tennis'],
+    links: ['espn.com', 'bbc.com/sport', 'skysports.com'],
+  },
+  entertainment: {
+    query: ['entertainment news', 'movies', 'TV shows', 'celebrities'],
+    links: ['hollywoodreporter.com', 'variety.com', 'deadline.com'],
+  },
+};

-const topics = ['AI', 'tech']; /* TODO: Add UI to customize this */
+type Topic = keyof typeof websitesForTopic;

 export const GET = async (req: Request) => {
  try {
    const params = new URL(req.url).searchParams;
+
    const mode: 'normal' | 'preview' =
      (params.get('mode') as 'normal' | 'preview') || 'normal';
+    const topic: Topic = (params.get('topic') as Topic) || 'tech';
+
+    const selectedTopic = websitesForTopic[topic];

    let data = [];

    if (mode === 'normal') {
+      const seenUrls = new Set();
+
      data = (
-        await Promise.all([
-          ...new Array(articleWebsites.length * topics.length)
-            .fill(0)
-            .map(async (_, i) => {
+        await Promise.all(
+          selectedTopic.links.flatMap((link) =>
+            selectedTopic.query.map(async (query) => {
              return (
-                await searchSearxng(
-                  `site:${articleWebsites[i % articleWebsites.length]} ${
-                    topics[i % topics.length]
-                  }`,
-                  {
-                    engines: ['bing news'],
-                    pageno: 1,
-                    language: 'en',
-                  },
-                )
+                await searchSearxng(`site:${link} ${query}`, {
+                  engines: ['bing news'],
+                  pageno: 1,
+                  language: 'en',
+                })
              ).results;
            }),
-        ])
+          ),
+        )
      )
-        .map((result) => result)
        .flat()
+        .filter((item) => {
+          const url = item.url?.toLowerCase().trim();
+          if (seenUrls.has(url)) return false;
+          seenUrls.add(url);
+          return true;
+        })
        .sort(() => Math.random() - 0.5);
    } else {
      data = (
        await searchSearxng(
-          `site:${articleWebsites[Math.floor(Math.random() * articleWebsites.length)]} ${topics[Math.floor(Math.random() * topics.length)]}`,
+          `site:${selectedTopic.links[Math.floor(Math.random() * selectedTopic.links.length)]} ${selectedTopic.query[Math.floor(Math.random() * selectedTopic.query.length)]}`,
          {
            engines: ['bing news'],
            pageno: 1,
--- a/src/app/api/images/route.ts
+++ b/src/app/api/images/route.ts
@@ -49,7 +49,7 @@ export const POST = async (req: Request) => {

    if (body.chatModel?.provider === 'custom_openai') {
      llm = new ChatOpenAI({
-        openAIApiKey: getCustomOpenaiApiKey(),
+        apiKey: getCustomOpenaiApiKey(),
        modelName: getCustomOpenaiModelName(),
        temperature: 0.7,
        configuration: {
--- a/src/app/api/search/route.ts
+++ b/src/app/api/search/route.ts
@@ -81,8 +81,7 @@ export const POST = async (req: Request) => {
    if (body.chatModel?.provider === 'custom_openai') {
      llm = new ChatOpenAI({
        modelName: body.chatModel?.name || getCustomOpenaiModelName(),
-        openAIApiKey:
-          body.chatModel?.customOpenAIKey || getCustomOpenaiApiKey(),
+        apiKey: body.chatModel?.customOpenAIKey || getCustomOpenaiApiKey(),
        temperature: 0.7,
        configuration: {
          baseURL:
--- a/src/app/api/suggestions/route.ts
+++ b/src/app/api/suggestions/route.ts
@@ -48,7 +48,7 @@ export const POST = async (req: Request) => {

    if (body.chatModel?.provider === 'custom_openai') {
      llm = new ChatOpenAI({
-        openAIApiKey: getCustomOpenaiApiKey(),
+        apiKey: getCustomOpenaiApiKey(),
        modelName: getCustomOpenaiModelName(),
        temperature: 0.7,
        configuration: {
--- a/src/app/api/videos/route.ts
+++ b/src/app/api/videos/route.ts
@@ -49,7 +49,7 @@ export const POST = async (req: Request) => {

    if (body.chatModel?.provider === 'custom_openai') {
      llm = new ChatOpenAI({
-        openAIApiKey: getCustomOpenaiApiKey(),
+        apiKey: getCustomOpenaiApiKey(),
        modelName: getCustomOpenaiModelName(),
        temperature: 0.7,
        configuration: {
--- a/src/app/api/weather/route.ts
+++ b/src/app/api/weather/route.ts
@@ -1,7 +1,10 @@
 export const POST = async (req: Request) => {
  try {
-    const body: { lat: number; lng: number; temperatureUnit: 'C' | 'F' } =
-      await req.json();
+    const body: {
+      lat: number;
+      lng: number;
+      measureUnit: 'Imperial' | 'Metric';
+    } = await req.json();

    if (!body.lat || !body.lng) {
      return Response.json(
@@ -13,7 +16,9 @@ export const POST = async (req: Request) => {
    }

    const res = await fetch(
-      `https://api.open-meteo.com/v1/forecast?latitude=${body.lat}&longitude=${body.lng}&current=weather_code,temperature_2m,is_day,relative_humidity_2m,wind_speed_10m&timezone=auto${body.temperatureUnit === 'C' ? '' : '&temperature_unit=fahrenheit'}`,
+      `https://api.open-meteo.com/v1/forecast?latitude=${body.lat}&longitude=${body.lng}&current=weather_code,temperature_2m,is_day,relative_humidity_2m,wind_speed_10m&timezone=auto${
+        body.measureUnit === 'Metric' ? '' : '&temperature_unit=fahrenheit'
+      }${body.measureUnit === 'Metric' ? '' : '&wind_speed_unit=mph'}`,
    );

    const data = await res.json();
@@ -35,13 +40,15 @@ export const POST = async (req: Request) => {
      windSpeed: number;
      icon: string;
      temperatureUnit: 'C' | 'F';
+      windSpeedUnit: 'm/s' | 'mph';
    } = {
      temperature: data.current.temperature_2m,
      condition: '',
      humidity: data.current.relative_humidity_2m,
      windSpeed: data.current.wind_speed_10m,
      icon: '',
-      temperatureUnit: body.temperatureUnit,
+      temperatureUnit: body.measureUnit === 'Metric' ? 'C' : 'F',
+      windSpeedUnit: body.measureUnit === 'Metric' ? 'm/s' : 'mph',
    };

    const code = data.current.weather_code;
--- a/src/app/c/[chatId]/page.tsx
+++ b/src/app/c/[chatId]/page.tsx
@@ -1,9 +1,17 @@
-import ChatWindow from '@/components/ChatWindow';
-import React from 'react';
+'use client';

-const Page = ({ params }: { params: Promise<{ chatId: string }> }) => {
-  const { chatId } = React.use(params);
-  return <ChatWindow id={chatId} />;
+import ChatWindow from '@/components/ChatWindow';
+import { useParams } from 'next/navigation';
+import React from 'react';
+import { ChatProvider } from '@/lib/hooks/useChat';
+
+const Page = () => {
+  const { chatId }: { chatId: string } = useParams();
+  return (
+    <ChatProvider id={chatId}>
+      <ChatWindow />
+    </ChatProvider>
+  );
 };

 export default Page;
--- a/src/app/discover/page.tsx
+++ b/src/app/discover/page.tsx
@@ -4,6 +4,7 @@ import { Search } from 'lucide-react';
 import { useEffect, useState } from 'react';
 import Link from 'next/link';
 import { toast } from 'sonner';
+import { cn } from '@/lib/utils';

 interface Discover {
  title: string;
@@ -12,60 +13,66 @@ interface Discover {
  thumbnail: string;
 }

+const topics: { key: string; display: string }[] = [
+  {
+    display: 'Tech & Science',
+    key: 'tech',
+  },
+  {
+    display: 'Finance',
+    key: 'finance',
+  },
+  {
+    display: 'Art & Culture',
+    key: 'art',
+  },
+  {
+    display: 'Sports',
+    key: 'sports',
+  },
+  {
+    display: 'Entertainment',
+    key: 'entertainment',
+  },
+];
+
 const Page = () => {
  const [discover, setDiscover] = useState<Discover[] | null>(null);
  const [loading, setLoading] = useState(true);
+  const [activeTopic, setActiveTopic] = useState<string>(topics[0].key);
+
+  const fetchArticles = async (topic: string) => {
+    setLoading(true);
+    try {
+      const res = await fetch(`/api/discover?topic=${topic}`, {
+        method: 'GET',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+      });
+
+      const data = await res.json();
+
+      if (!res.ok) {
+        throw new Error(data.message);
+      }
+
+      data.blogs = data.blogs.filter((blog: Discover) => blog.thumbnail);
+
+      setDiscover(data.blogs);
+    } catch (err: any) {
+      console.error('Error fetching data:', err.message);
+      toast.error('Error fetching data');
+    } finally {
+      setLoading(false);
+    }
+  };

  useEffect(() => {
-    const fetchData = async () => {
-      try {
-        const res = await fetch(`/api/discover`, {
-          method: 'GET',
-          headers: {
-            'Content-Type': 'application/json',
-          },
-        });
+    fetchArticles(activeTopic);
+  }, [activeTopic]);

-        const data = await res.json();
-
-        if (!res.ok) {
-          throw new Error(data.message);
-        }
-
-        data.blogs = data.blogs.filter((blog: Discover) => blog.thumbnail);
-
-        setDiscover(data.blogs);
-      } catch (err: any) {
-        console.error('Error fetching data:', err.message);
-        toast.error('Error fetching data');
-      } finally {
-        setLoading(false);
-      }
-    };
-
-    fetchData();
-  }, []);
-
-  return loading ? (
-    <div className="flex flex-row items-center justify-center min-h-screen">
-      <svg
-        aria-hidden="true"
-        className="w-8 h-8 text-light-200 fill-light-secondary dark:text-[#202020] animate-spin dark:fill-[#ffffff3b]"
-        viewBox="0 0 100 101"
-        fill="none"
-        xmlns="http://www.w3.org/2000/svg"
-      >
-        <path
-          d="M100 50.5908C100.003 78.2051 78.1951 100.003 50.5908 100C22.9765 99.9972 0.997224 78.018 1 50.4037C1.00281 22.7993 22.8108 0.997224 50.4251 1C78.0395 1.00281 100.018 22.8108 100 50.4251ZM9.08164 50.594C9.06312 73.3997 27.7909 92.1272 50.5966 92.1457C73.4023 92.1642 92.1298 73.4365 92.1483 50.6308C92.1669 27.8251 73.4392 9.0973 50.6335 9.07878C27.8278 9.06026 9.10003 27.787 9.08164 50.594Z"
-          fill="currentColor"
-        />
-        <path
-          d="M93.9676 39.0409C96.393 38.4037 97.8624 35.9116 96.9801 33.5533C95.1945 28.8227 92.871 24.3692 90.0681 20.348C85.6237 14.1775 79.4473 9.36872 72.0454 6.45794C64.6435 3.54717 56.3134 2.65431 48.3133 3.89319C45.869 4.27179 44.3768 6.77534 45.014 9.20079C45.6512 11.6262 48.1343 13.0956 50.5786 12.717C56.5073 11.8281 62.5542 12.5399 68.0406 14.7911C73.527 17.0422 78.2187 20.7487 81.5841 25.4923C83.7976 28.5886 85.4467 32.059 86.4416 35.7474C87.1273 38.1189 89.5423 39.6781 91.9676 39.0409Z"
-          fill="currentFill"
-        />
-      </svg>
-    </div>
-  ) : (
+  return (
    <>
      <div>
        <div className="flex flex-col pt-4">
@@ -76,35 +83,73 @@ const Page = () => {
          <hr className="border-t border-[#2B2C2C] my-4 w-full" />
        </div>

-        <div className="grid lg:grid-cols-3 sm:grid-cols-2 grid-cols-1 gap-4 pb-28 lg:pb-8 w-full justify-items-center lg:justify-items-start">
-          {discover &&
-            discover?.map((item, i) => (
-              <Link
-                href={`/?q=Summary: ${item.url}`}
-                key={i}
-                className="max-w-sm rounded-lg overflow-hidden bg-light-secondary dark:bg-dark-secondary hover:-translate-y-[1px] transition duration-200"
-                target="_blank"
-              >
-                <img
-                  className="object-cover w-full aspect-video"
-                  src={
-                    new URL(item.thumbnail).origin +
-                    new URL(item.thumbnail).pathname +
-                    `?id=${new URL(item.thumbnail).searchParams.get('id')}`
-                  }
-                  alt={item.title}
-                />
-                <div className="px-6 py-4">
-                  <div className="font-bold text-lg mb-2">
-                    {item.title.slice(0, 100)}...
-                  </div>
-                  <p className="text-black-70 dark:text-white/70 text-sm">
-                    {item.content.slice(0, 100)}...
-                  </p>
-                </div>
-              </Link>
-            ))}
+        <div className="flex flex-row items-center space-x-2 overflow-x-auto">
+          {topics.map((t, i) => (
+            <div
+              key={i}
+              className={cn(
+                'border-[0.1px] rounded-full text-sm px-3 py-1 text-nowrap transition duration-200 cursor-pointer',
+                activeTopic === t.key
+                  ? 'text-cyan-300 bg-cyan-300/30 border-cyan-300/60'
+                  : 'border-white/30 text-white/70 hover:text-white hover:border-white/40 hover:bg-white/5',
+              )}
+              onClick={() => setActiveTopic(t.key)}
+            >
+              <span>{t.display}</span>
+            </div>
+          ))}
        </div>
+
+        {loading ? (
+          <div className="flex flex-row items-center justify-center min-h-screen">
+            <svg
+              aria-hidden="true"
+              className="w-8 h-8 text-light-200 fill-light-secondary dark:text-[#202020] animate-spin dark:fill-[#ffffff3b]"
+              viewBox="0 0 100 101"
+              fill="none"
+              xmlns="http://www.w3.org/2000/svg"
+            >
+              <path
+                d="M100 50.5908C100.003 78.2051 78.1951 100.003 50.5908 100C22.9765 99.9972 0.997224 78.018 1 50.4037C1.00281 22.7993 22.8108 0.997224 50.4251 1C78.0395 1.00281 100.018 22.8108 100 50.4251ZM9.08164 50.594C9.06312 73.3997 27.7909 92.1272 50.5966 92.1457C73.4023 92.1642 92.1298 73.4365 92.1483 50.6308C92.1669 27.8251 73.4392 9.0973 50.6335 9.07878C27.8278 9.06026 9.10003 27.787 9.08164 50.594Z"
+                fill="currentColor"
+              />
+              <path
+                d="M93.9676 39.0409C96.393 38.4037 97.8624 35.9116 96.9801 33.5533C95.1945 28.8227 92.871 24.3692 90.0681 20.348C85.6237 14.1775 79.4473 9.36872 72.0454 6.45794C64.6435 3.54717 56.3134 2.65431 48.3133 3.89319C45.869 4.27179 44.3768 6.77534 45.014 9.20079C45.6512 11.6262 48.1343 13.0956 50.5786 12.717C56.5073 11.8281 62.5542 12.5399 68.0406 14.7911C73.527 17.0422 78.2187 20.7487 81.5841 25.4923C83.7976 28.5886 85.4467 32.059 86.4416 35.7474C87.1273 38.1189 89.5423 39.6781 91.9676 39.0409Z"
+                fill="currentFill"
+              />
+            </svg>
+          </div>
+        ) : (
+          <div className="grid lg:grid-cols-3 sm:grid-cols-2 grid-cols-1 gap-4 pb-28 pt-5 lg:pb-8 w-full justify-items-center lg:justify-items-start">
+            {discover &&
+              discover?.map((item, i) => (
+                <Link
+                  href={`/?q=Summary: ${item.url}`}
+                  key={i}
+                  className="max-w-sm rounded-lg overflow-hidden bg-light-secondary dark:bg-dark-secondary hover:-translate-y-[1px] transition duration-200"
+                  target="_blank"
+                >
+                  <img
+                    className="object-cover w-full aspect-video"
+                    src={
+                      new URL(item.thumbnail).origin +
+                      new URL(item.thumbnail).pathname +
+                      `?id=${new URL(item.thumbnail).searchParams.get('id')}`
+                    }
+                    alt={item.title}
+                  />
+                  <div className="px-6 py-4">
+                    <div className="font-bold text-lg mb-2">
+                      {item.title.slice(0, 100)}...
+                    </div>
+                    <p className="text-black-70 dark:text-white/70 text-sm">
+                      {item.content.slice(0, 100)}...
+                    </p>
+                  </div>
+                </Link>
+              ))}
+          </div>
+        )}
      </div>
    </>
  );
--- a/src/app/page.tsx
+++ b/src/app/page.tsx
@@ -1,4 +1,5 @@
 import ChatWindow from '@/components/ChatWindow';
+import { ChatProvider } from '@/lib/hooks/useChat';
 import { Metadata } from 'next';
 import { Suspense } from 'react';

@@ -11,7 +12,9 @@ const Home = () => {
  return (
    <div>
      <Suspense>
-        <ChatWindow />
+        <ChatProvider>
+          <ChatWindow />
+        </ChatProvider>
      </Suspense>
    </div>
  );
--- a/src/app/settings/page.tsx
+++ b/src/app/settings/page.tsx
@@ -21,6 +21,7 @@ interface SettingsType {
  anthropicApiKey: string;
  geminiApiKey: string;
  ollamaApiUrl: string;
+  ollamaApiKey: string;
  lmStudioApiUrl: string;
  deepseekApiKey: string;
  aimlApiKey: string;
@@ -148,7 +149,9 @@ const Page = () => {
  const [automaticImageSearch, setAutomaticImageSearch] = useState(false);
  const [automaticVideoSearch, setAutomaticVideoSearch] = useState(false);
  const [systemInstructions, setSystemInstructions] = useState<string>('');
-  const [temperatureUnit, setTemperatureUnit] = useState<'C' | 'F'>('C');
+  const [measureUnit, setMeasureUnit] = useState<'Imperial' | 'Metric'>(
+    'Metric',
+  );
  const [savingStates, setSavingStates] = useState<Record<string, boolean>>({});

  useEffect(() => {
@@ -211,7 +214,9 @@ const Page = () => {

      setSystemInstructions(localStorage.getItem('systemInstructions')!);

-      setTemperatureUnit(localStorage.getItem('temperatureUnit')! as 'C' | 'F');
+      setMeasureUnit(
+        localStorage.getItem('measureUnit')! as 'Imperial' | 'Metric',
+      );

      setIsLoading(false);
    };
@@ -371,8 +376,8 @@ const Page = () => {
        localStorage.setItem('embeddingModel', value);
      } else if (key === 'systemInstructions') {
        localStorage.setItem('systemInstructions', value);
-      } else if (key === 'temperatureUnit') {
-        localStorage.setItem('temperatureUnit', value.toString());
+      } else if (key === 'measureUnit') {
+        localStorage.setItem('measureUnit', value.toString());
      }
    } catch (err) {
      console.error('Failed to save:', err);
@@ -430,22 +435,22 @@ const Page = () => {
              </div>
              <div className="flex flex-col space-y-1">
                <p className="text-black/70 dark:text-white/70 text-sm">
-                  Temperature Unit
+                  Measurement Units
                </p>
                <Select
-                  value={temperatureUnit ?? undefined}
+                  value={measureUnit ?? undefined}
                  onChange={(e) => {
-                    setTemperatureUnit(e.target.value as 'C' | 'F');
-                    saveConfig('temperatureUnit', e.target.value);
+                    setMeasureUnit(e.target.value as 'Imperial' | 'Metric');
+                    saveConfig('measureUnit', e.target.value);
                  }}
                  options={[
                    {
-                      label: 'Celsius',
-                      value: 'C',
+                      label: 'Metric',
+                      value: 'Metric',
                    },
                    {
-                      label: 'Fahrenheit',
-                      value: 'F',
+                      label: 'Imperial',
+                      value: 'Imperial',
                    },
                  ]}
                />
@@ -814,6 +819,25 @@ const Page = () => {
                  />
                </div>

+                <div className="flex flex-col space-y-1">
+                  <p className="text-black/70 dark:text-white/70 text-sm">
+                    Ollama API Key (Can be left blank)
+                  </p>
+                  <Input
+                    type="text"
+                    placeholder="Ollama API Key"
+                    value={config.ollamaApiKey}
+                    isSaving={savingStates['ollamaApiKey']}
+                    onChange={(e) => {
+                      setConfig((prev) => ({
+                        ...prev!,
+                        ollamaApiKey: e.target.value,
+                      }));
+                    }}
+                    onSave={(value) => saveConfig('ollamaApiKey', value)}
+                  />
+                </div>
+
                <div className="flex flex-col space-y-1">
                  <p className="text-black/70 dark:text-white/70 text-sm">
                    GROQ API Key
--- a/src/components/Chat.tsx
+++ b/src/components/Chat.tsx
@@ -5,28 +5,11 @@ import MessageInput from './MessageInput';
 import { File, Message } from './ChatWindow';
 import MessageBox from './MessageBox';
 import MessageBoxLoading from './MessageBoxLoading';
+import { useChat } from '@/lib/hooks/useChat';
+
+const Chat = () => {
+  const { messages, loading, messageAppeared } = useChat();

-const Chat = ({
-  loading,
-  messages,
-  sendMessage,
-  messageAppeared,
-  rewrite,
-  fileIds,
-  setFileIds,
-  files,
-  setFiles,
-}: {
-  messages: Message[];
-  sendMessage: (message: string) => void;
-  loading: boolean;
-  messageAppeared: boolean;
-  rewrite: (messageId: string) => void;
-  fileIds: string[];
-  setFileIds: (fileIds: string[]) => void;
-  files: File[];
-  setFiles: (files: File[]) => void;
-}) => {
  const [dividerWidth, setDividerWidth] = useState(0);
  const dividerRef = useRef<HTMLDivElement | null>(null);
  const messageEnd = useRef<HTMLDivElement | null>(null);
@@ -72,12 +55,8 @@ const Chat = ({
              key={i}
              message={msg}
              messageIndex={i}
-              history={messages}
-              loading={loading}
              dividerRef={isLast ? dividerRef : undefined}
              isLast={isLast}
-              rewrite={rewrite}
-              sendMessage={sendMessage}
            />
            {!isLast && msg.role === 'assistant' && (
              <div className="h-px w-full bg-light-secondary dark:bg-dark-secondary" />
@@ -92,14 +71,7 @@ const Chat = ({
          className="bottom-24 lg:bottom-10 fixed z-40"
          style={{ width: dividerWidth }}
        >
-          <MessageInput
-            loading={loading}
-            sendMessage={sendMessage}
-            fileIds={fileIds}
-            setFileIds={setFileIds}
-            files={files}
-            setFiles={setFiles}
-          />
+          <MessageInput />
        </div>
      )}
    </div>
--- a/src/components/ChatWindow.tsx
+++ b/src/components/ChatWindow.tsx
@@ -1,17 +1,13 @@
 'use client';

-import { useEffect, useRef, useState } from 'react';
 import { Document } from '@langchain/core/documents';
 import Navbar from './Navbar';
 import Chat from './Chat';
 import EmptyChat from './EmptyChat';
-import crypto from 'crypto';
-import { toast } from 'sonner';
-import { useSearchParams } from 'next/navigation';
-import { getSuggestions } from '@/lib/actions';
 import { Settings } from 'lucide-react';
 import Link from 'next/link';
 import NextError from 'next/error';
+import { useChat } from '@/lib/hooks/useChat';

 export type Message = {
  messageId: string;
@@ -29,539 +25,8 @@ export interface File {
  fileId: string;
 }

-interface ChatModelProvider {
-  name: string;
-  provider: string;
-}
-
-interface EmbeddingModelProvider {
-  name: string;
-  provider: string;
-}
-
-const checkConfig = async (
-  setChatModelProvider: (provider: ChatModelProvider) => void,
-  setEmbeddingModelProvider: (provider: EmbeddingModelProvider) => void,
-  setIsConfigReady: (ready: boolean) => void,
-  setHasError: (hasError: boolean) => void,
-) => {
-  try {
-    let chatModel = localStorage.getItem('chatModel');
-    let chatModelProvider = localStorage.getItem('chatModelProvider');
-    let embeddingModel = localStorage.getItem('embeddingModel');
-    let embeddingModelProvider = localStorage.getItem('embeddingModelProvider');
-
-    const autoImageSearch = localStorage.getItem('autoImageSearch');
-    const autoVideoSearch = localStorage.getItem('autoVideoSearch');
-
-    if (!autoImageSearch) {
-      localStorage.setItem('autoImageSearch', 'true');
-    }
-
-    if (!autoVideoSearch) {
-      localStorage.setItem('autoVideoSearch', 'false');
-    }
-
-    const providers = await fetch(`/api/models`, {
-      headers: {
-        'Content-Type': 'application/json',
-      },
-    }).then(async (res) => {
-      if (!res.ok)
-        throw new Error(
-          `Failed to fetch models: ${res.status} ${res.statusText}`,
-        );
-      return res.json();
-    });
-
-    if (
-      !chatModel ||
-      !chatModelProvider ||
-      !embeddingModel ||
-      !embeddingModelProvider
-    ) {
-      if (!chatModel || !chatModelProvider) {
-        const chatModelProviders = providers.chatModelProviders;
-        const chatModelProvidersKeys = Object.keys(chatModelProviders);
-
-        if (!chatModelProviders || chatModelProvidersKeys.length === 0) {
-          return toast.error('No chat models available');
-        } else {
-          chatModelProvider =
-            chatModelProvidersKeys.find(
-              (provider) =>
-                Object.keys(chatModelProviders[provider]).length > 0,
-            ) || chatModelProvidersKeys[0];
-        }
-
-        if (
-          chatModelProvider === 'custom_openai' &&
-          Object.keys(chatModelProviders[chatModelProvider]).length === 0
-        ) {
-          toast.error(
-            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
-          );
-          return setHasError(true);
-        }
-
-        chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
-      }
-
-      if (!embeddingModel || !embeddingModelProvider) {
-        const embeddingModelProviders = providers.embeddingModelProviders;
-
-        if (
-          !embeddingModelProviders ||
-          Object.keys(embeddingModelProviders).length === 0
-        )
-          return toast.error('No embedding models available');
-
-        embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
-        embeddingModel = Object.keys(
-          embeddingModelProviders[embeddingModelProvider],
-        )[0];
-      }
-
-      localStorage.setItem('chatModel', chatModel!);
-      localStorage.setItem('chatModelProvider', chatModelProvider);
-      localStorage.setItem('embeddingModel', embeddingModel!);
-      localStorage.setItem('embeddingModelProvider', embeddingModelProvider);
-    } else {
-      const chatModelProviders = providers.chatModelProviders;
-      const embeddingModelProviders = providers.embeddingModelProviders;
-
-      if (
-        Object.keys(chatModelProviders).length > 0 &&
-        (!chatModelProviders[chatModelProvider] ||
-          Object.keys(chatModelProviders[chatModelProvider]).length === 0)
-      ) {
-        const chatModelProvidersKeys = Object.keys(chatModelProviders);
-        chatModelProvider =
-          chatModelProvidersKeys.find(
-            (key) => Object.keys(chatModelProviders[key]).length > 0,
-          ) || chatModelProvidersKeys[0];
-
-        localStorage.setItem('chatModelProvider', chatModelProvider);
-      }
-
-      if (
-        chatModelProvider &&
-        !chatModelProviders[chatModelProvider][chatModel]
-      ) {
-        if (
-          chatModelProvider === 'custom_openai' &&
-          Object.keys(chatModelProviders[chatModelProvider]).length === 0
-        ) {
-          toast.error(
-            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
-          );
-          return setHasError(true);
-        }
-
-        chatModel = Object.keys(
-          chatModelProviders[
-            Object.keys(chatModelProviders[chatModelProvider]).length > 0
-              ? chatModelProvider
-              : Object.keys(chatModelProviders)[0]
-          ],
-        )[0];
-
-        localStorage.setItem('chatModel', chatModel);
-      }
-
-      if (
-        Object.keys(embeddingModelProviders).length > 0 &&
-        !embeddingModelProviders[embeddingModelProvider]
-      ) {
-        embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
-        localStorage.setItem('embeddingModelProvider', embeddingModelProvider);
-      }
-
-      if (
-        embeddingModelProvider &&
-        !embeddingModelProviders[embeddingModelProvider][embeddingModel]
-      ) {
-        embeddingModel = Object.keys(
-          embeddingModelProviders[embeddingModelProvider],
-        )[0];
-        localStorage.setItem('embeddingModel', embeddingModel);
-      }
-    }
-
-    setChatModelProvider({
-      name: chatModel!,
-      provider: chatModelProvider,
-    });
-
-    setEmbeddingModelProvider({
-      name: embeddingModel!,
-      provider: embeddingModelProvider,
-    });
-
-    setIsConfigReady(true);
-  } catch (err) {
-    console.error('An error occurred while checking the configuration:', err);
-    setIsConfigReady(false);
-    setHasError(true);
-  }
-};
-
-const loadMessages = async (
-  chatId: string,
-  setMessages: (messages: Message[]) => void,
-  setIsMessagesLoaded: (loaded: boolean) => void,
-  setChatHistory: (history: [string, string][]) => void,
-  setFocusMode: (mode: string) => void,
-  setNotFound: (notFound: boolean) => void,
-  setFiles: (files: File[]) => void,
-  setFileIds: (fileIds: string[]) => void,
-) => {
-  const res = await fetch(`/api/chats/${chatId}`, {
-    method: 'GET',
-    headers: {
-      'Content-Type': 'application/json',
-    },
-  });
-
-  if (res.status === 404) {
-    setNotFound(true);
-    setIsMessagesLoaded(true);
-    return;
-  }
-
-  const data = await res.json();
-
-  const messages = data.messages.map((msg: any) => {
-    return {
-      ...msg,
-      ...JSON.parse(msg.metadata),
-    };
-  }) as Message[];
-
-  setMessages(messages);
-
-  const history = messages.map((msg) => {
-    return [msg.role, msg.content];
-  }) as [string, string][];
-
-  console.debug(new Date(), 'app:messages_loaded');
-
-  document.title = messages[0].content;
-
-  const files = data.chat.files.map((file: any) => {
-    return {
-      fileName: file.name,
-      fileExtension: file.name.split('.').pop(),
-      fileId: file.fileId,
-    };
-  });
-
-  setFiles(files);
-  setFileIds(files.map((file: File) => file.fileId));
-
-  setChatHistory(history);
-  setFocusMode(data.chat.focusMode);
-  setIsMessagesLoaded(true);
-};
-
-const ChatWindow = ({ id }: { id?: string }) => {
-  const searchParams = useSearchParams();
-  const initialMessage = searchParams.get('q');
-
-  const [chatId, setChatId] = useState<string | undefined>(id);
-  const [newChatCreated, setNewChatCreated] = useState(false);
-
-  const [chatModelProvider, setChatModelProvider] = useState<ChatModelProvider>(
-    {
-      name: '',
-      provider: '',
-    },
-  );
-
-  const [embeddingModelProvider, setEmbeddingModelProvider] =
-    useState<EmbeddingModelProvider>({
-      name: '',
-      provider: '',
-    });
-
-  const [isConfigReady, setIsConfigReady] = useState(false);
-  const [hasError, setHasError] = useState(false);
-  const [isReady, setIsReady] = useState(false);
-
-  useEffect(() => {
-    checkConfig(
-      setChatModelProvider,
-      setEmbeddingModelProvider,
-      setIsConfigReady,
-      setHasError,
-    );
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, []);
-
-  const [loading, setLoading] = useState(false);
-  const [messageAppeared, setMessageAppeared] = useState(false);
-
-  const [chatHistory, setChatHistory] = useState<[string, string][]>([]);
-  const [messages, setMessages] = useState<Message[]>([]);
-
-  const [files, setFiles] = useState<File[]>([]);
-  const [fileIds, setFileIds] = useState<string[]>([]);
-
-  const [focusMode, setFocusMode] = useState('webSearch');
-  const [optimizationMode, setOptimizationMode] = useState('speed');
-
-  const [isMessagesLoaded, setIsMessagesLoaded] = useState(false);
-
-  const [notFound, setNotFound] = useState(false);
-
-  useEffect(() => {
-    if (
-      chatId &&
-      !newChatCreated &&
-      !isMessagesLoaded &&
-      messages.length === 0
-    ) {
-      loadMessages(
-        chatId,
-        setMessages,
-        setIsMessagesLoaded,
-        setChatHistory,
-        setFocusMode,
-        setNotFound,
-        setFiles,
-        setFileIds,
-      );
-    } else if (!chatId) {
-      setNewChatCreated(true);
-      setIsMessagesLoaded(true);
-      setChatId(crypto.randomBytes(20).toString('hex'));
-    }
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, []);
-
-  const messagesRef = useRef<Message[]>([]);
-
-  useEffect(() => {
-    messagesRef.current = messages;
-  }, [messages]);
-
-  useEffect(() => {
-    if (isMessagesLoaded && isConfigReady) {
-      setIsReady(true);
-      console.debug(new Date(), 'app:ready');
-    } else {
-      setIsReady(false);
-    }
-  }, [isMessagesLoaded, isConfigReady]);
-
-  const sendMessage = async (message: string, messageId?: string) => {
-    if (loading) return;
-    if (!isConfigReady) {
-      toast.error('Cannot send message before the configuration is ready');
-      return;
-    }
-
-    setLoading(true);
-    setMessageAppeared(false);
-
-    let sources: Document[] | undefined = undefined;
-    let recievedMessage = '';
-    let added = false;
-
-    messageId = messageId ?? crypto.randomBytes(7).toString('hex');
-
-    setMessages((prevMessages) => [
-      ...prevMessages,
-      {
-        content: message,
-        messageId: messageId,
-        chatId: chatId!,
-        role: 'user',
-        createdAt: new Date(),
-      },
-    ]);
-
-    const messageHandler = async (data: any) => {
-      if (data.type === 'error') {
-        toast.error(data.data);
-        setLoading(false);
-        return;
-      }
-
-      if (data.type === 'sources') {
-        sources = data.data;
-        if (!added) {
-          setMessages((prevMessages) => [
-            ...prevMessages,
-            {
-              content: '',
-              messageId: data.messageId,
-              chatId: chatId!,
-              role: 'assistant',
-              sources: sources,
-              createdAt: new Date(),
-            },
-          ]);
-          added = true;
-        }
-        setMessageAppeared(true);
-      }
-
-      if (data.type === 'message') {
-        if (!added) {
-          setMessages((prevMessages) => [
-            ...prevMessages,
-            {
-              content: data.data,
-              messageId: data.messageId,
-              chatId: chatId!,
-              role: 'assistant',
-              sources: sources,
-              createdAt: new Date(),
-            },
-          ]);
-          added = true;
-        }
-
-        setMessages((prev) =>
-          prev.map((message) => {
-            if (message.messageId === data.messageId) {
-              return { ...message, content: message.content + data.data };
-            }
-
-            return message;
-          }),
-        );
-
-        recievedMessage += data.data;
-        setMessageAppeared(true);
-      }
-
-      if (data.type === 'messageEnd') {
-        setChatHistory((prevHistory) => [
-          ...prevHistory,
-          ['human', message],
-          ['assistant', recievedMessage],
-        ]);
-
-        setLoading(false);
-
-        const lastMsg = messagesRef.current[messagesRef.current.length - 1];
-
-        const autoImageSearch = localStorage.getItem('autoImageSearch');
-        const autoVideoSearch = localStorage.getItem('autoVideoSearch');
-
-        if (autoImageSearch === 'true') {
-          document
-            .getElementById(`search-images-${lastMsg.messageId}`)
-            ?.click();
-        }
-
-        if (autoVideoSearch === 'true') {
-          document
-            .getElementById(`search-videos-${lastMsg.messageId}`)
-            ?.click();
-        }
-
-        if (
-          lastMsg.role === 'assistant' &&
-          lastMsg.sources &&
-          lastMsg.sources.length > 0 &&
-          !lastMsg.suggestions
-        ) {
-          const suggestions = await getSuggestions(messagesRef.current);
-          setMessages((prev) =>
-            prev.map((msg) => {
-              if (msg.messageId === lastMsg.messageId) {
-                return { ...msg, suggestions: suggestions };
-              }
-              return msg;
-            }),
-          );
-        }
-      }
-    };
-
-    const res = await fetch('/api/chat', {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-      },
-      body: JSON.stringify({
-        content: message,
-        message: {
-          messageId: messageId,
-          chatId: chatId!,
-          content: message,
-        },
-        chatId: chatId!,
-        files: fileIds,
-        focusMode: focusMode,
-        optimizationMode: optimizationMode,
-        history: chatHistory,
-        chatModel: {
-          name: chatModelProvider.name,
-          provider: chatModelProvider.provider,
-        },
-        embeddingModel: {
-          name: embeddingModelProvider.name,
-          provider: embeddingModelProvider.provider,
-        },
-        systemInstructions: localStorage.getItem('systemInstructions'),
-      }),
-    });
-
-    if (!res.body) throw new Error('No response body');
-
-    const reader = res.body?.getReader();
-    const decoder = new TextDecoder('utf-8');
-
-    let partialChunk = '';
-
-    while (true) {
-      const { value, done } = await reader.read();
-      if (done) break;
-
-      partialChunk += decoder.decode(value, { stream: true });
-
-      try {
-        const messages = partialChunk.split('\n');
-        for (const msg of messages) {
-          if (!msg.trim()) continue;
-          const json = JSON.parse(msg);
-          messageHandler(json);
-        }
-        partialChunk = '';
-      } catch (error) {
-        console.warn('Incomplete JSON, waiting for next chunk...');
-      }
-    }
-  };
-
-  const rewrite = (messageId: string) => {
-    const index = messages.findIndex((msg) => msg.messageId === messageId);
-
-    if (index === -1) return;
-
-    const message = messages[index - 1];
-
-    setMessages((prev) => {
-      return [...prev.slice(0, messages.length > 2 ? index - 1 : 0)];
-    });
-    setChatHistory((prev) => {
-      return [...prev.slice(0, messages.length > 2 ? index - 1 : 0)];
-    });
-
-    sendMessage(message.content, message.messageId);
-  };
-
-  useEffect(() => {
-    if (isReady && initialMessage && isConfigReady) {
-      sendMessage(initialMessage);
-    }
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [isConfigReady, isReady, initialMessage]);
-
+const ChatWindow = () => {
+  const { hasError, isReady, notFound, messages } = useChat();
  if (hasError) {
    return (
      <div className="relative">
@@ -586,31 +51,11 @@ const ChatWindow = ({ id }: { id?: string }) => {
      <div>
        {messages.length > 0 ? (
          <>
-            <Navbar chatId={chatId!} messages={messages} />
-            <Chat
-              loading={loading}
-              messages={messages}
-              sendMessage={sendMessage}
-              messageAppeared={messageAppeared}
-              rewrite={rewrite}
-              fileIds={fileIds}
-              setFileIds={setFileIds}
-              files={files}
-              setFiles={setFiles}
-            />
+            <Navbar />
+            <Chat />
          </>
        ) : (
-          <EmptyChat
-            sendMessage={sendMessage}
-            focusMode={focusMode}
-            setFocusMode={setFocusMode}
-            optimizationMode={optimizationMode}
-            setOptimizationMode={setOptimizationMode}
-            fileIds={fileIds}
-            setFileIds={setFileIds}
-            files={files}
-            setFiles={setFiles}
-          />
+          <EmptyChat />
        )}
      </div>
    )
--- a/src/components/EmptyChat.tsx
+++ b/src/components/EmptyChat.tsx
@@ -5,27 +5,7 @@ import Link from 'next/link';
 import WeatherWidget from './WeatherWidget';
 import NewsArticleWidget from './NewsArticleWidget';

-const EmptyChat = ({
-  sendMessage,
-  focusMode,
-  setFocusMode,
-  optimizationMode,
-  setOptimizationMode,
-  fileIds,
-  setFileIds,
-  files,
-  setFiles,
-}: {
-  sendMessage: (message: string) => void;
-  focusMode: string;
-  setFocusMode: (mode: string) => void;
-  optimizationMode: string;
-  setOptimizationMode: (mode: string) => void;
-  fileIds: string[];
-  setFileIds: (fileIds: string[]) => void;
-  files: File[];
-  setFiles: (files: File[]) => void;
-}) => {
+const EmptyChat = () => {
  return (
    <div className="relative">
      <div className="absolute w-full flex flex-row items-center justify-end mr-5 mt-5">
@@ -38,17 +18,7 @@ const EmptyChat = ({
          <h2 className="text-black/70 dark:text-white/70 text-3xl font-medium -mt-8">
            Research begins here.
          </h2>
-          <EmptyChatMessageInput
-            sendMessage={sendMessage}
-            focusMode={focusMode}
-            setFocusMode={setFocusMode}
-            optimizationMode={optimizationMode}
-            setOptimizationMode={setOptimizationMode}
-            fileIds={fileIds}
-            setFileIds={setFileIds}
-            files={files}
-            setFiles={setFiles}
-          />
+          <EmptyChatMessageInput />
        </div>
        <div className="flex flex-col w-full gap-4 mt-2 sm:flex-row sm:justify-center">
          <div className="flex-1 w-full">
--- a/src/components/EmptyChatMessageInput.tsx
+++ b/src/components/EmptyChatMessageInput.tsx
@@ -1,34 +1,15 @@
 import { ArrowRight } from 'lucide-react';
 import { useEffect, useRef, useState } from 'react';
 import TextareaAutosize from 'react-textarea-autosize';
-import CopilotToggle from './MessageInputActions/Copilot';
 import Focus from './MessageInputActions/Focus';
 import Optimization from './MessageInputActions/Optimization';
 import Attach from './MessageInputActions/Attach';
-import { File } from './ChatWindow';
+import { useChat } from '@/lib/hooks/useChat';

-const EmptyChatMessageInput = ({
-  sendMessage,
-  focusMode,
-  setFocusMode,
-  optimizationMode,
-  setOptimizationMode,
-  fileIds,
-  setFileIds,
-  files,
-  setFiles,
-}: {
-  sendMessage: (message: string) => void;
-  focusMode: string;
-  setFocusMode: (mode: string) => void;
-  optimizationMode: string;
-  setOptimizationMode: (mode: string) => void;
-  fileIds: string[];
-  setFileIds: (fileIds: string[]) => void;
-  files: File[];
-  setFiles: (files: File[]) => void;
-}) => {
-  const [copilotEnabled, setCopilotEnabled] = useState(false);
+const EmptyChatMessageInput = () => {
+  const { sendMessage } = useChat();
+
+  /* const [copilotEnabled, setCopilotEnabled] = useState(false); */
  const [message, setMessage] = useState('');

  const inputRef = useRef<HTMLTextAreaElement | null>(null);
@@ -84,20 +65,11 @@ const EmptyChatMessageInput = ({
        />
        <div className="flex flex-row items-center justify-between mt-4">
          <div className="flex flex-row items-center space-x-2 lg:space-x-4">
-            <Focus focusMode={focusMode} setFocusMode={setFocusMode} />
-            <Attach
-              fileIds={fileIds}
-              setFileIds={setFileIds}
-              files={files}
-              setFiles={setFiles}
-              showText
-            />
+            <Focus />
+            <Attach showText />
          </div>
          <div className="flex flex-row items-center space-x-1 sm:space-x-4">
-            <Optimization
-              optimizationMode={optimizationMode}
-              setOptimizationMode={setOptimizationMode}
-            />
+            <Optimization />
            <button
              disabled={message.trim().length === 0}
              className="bg-[#24A0ED] text-white disabled:text-black/50 dark:disabled:text-white/50 disabled:bg-[#e0e0dc] dark:disabled:bg-[#ececec21] hover:bg-opacity-85 transition duration-100 rounded-full p-2"
--- a/src/components/MessageBox.tsx
+++ b/src/components/MessageBox.tsx
@@ -20,32 +20,36 @@ import SearchImages from './SearchImages';
 import SearchVideos from './SearchVideos';
 import { useSpeech } from 'react-text-to-speech';
 import ThinkBox from './ThinkBox';
+import { useChat } from '@/lib/hooks/useChat';

-const ThinkTagProcessor = ({ children }: { children: React.ReactNode }) => {
-  return <ThinkBox content={children as string} />;
+const ThinkTagProcessor = ({
+  children,
+  thinkingEnded,
+}: {
+  children: React.ReactNode;
+  thinkingEnded: boolean;
+}) => {
+  return (
+    <ThinkBox content={children as string} thinkingEnded={thinkingEnded} />
+  );
 };

 const MessageBox = ({
  message,
  messageIndex,
-  history,
-  loading,
  dividerRef,
  isLast,
-  rewrite,
-  sendMessage,
 }: {
  message: Message;
  messageIndex: number;
-  history: Message[];
-  loading: boolean;
  dividerRef?: MutableRefObject<HTMLDivElement | null>;
  isLast: boolean;
-  rewrite: (messageId: string) => void;
-  sendMessage: (message: string) => void;
 }) => {
+  const { loading, messages: history, sendMessage, rewrite } = useChat();
+
  const [parsedMessage, setParsedMessage] = useState(message.content);
  const [speechMessage, setSpeechMessage] = useState(message.content);
+  const [thinkingEnded, setThinkingEnded] = useState(false);

  useEffect(() => {
    const citationRegex = /\[([^\]]+)\]/g;
@@ -61,6 +65,10 @@ const MessageBox = ({
      }
    }

+    if (message.role === 'assistant' && message.content.includes('</think>')) {
+      setThinkingEnded(true);
+    }
+
    if (
      message.role === 'assistant' &&
      message?.sources &&
@@ -88,7 +96,7 @@ const MessageBox = ({
                if (url) {
                  return `<a href="${url}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${numStr}</a>`;
                } else {
-                  return `[${numStr}]`;
+                  return ``;
                }
              })
              .join('');
@@ -99,6 +107,14 @@ const MessageBox = ({
      );
      setSpeechMessage(message.content.replace(regex, ''));
      return;
+    } else if (
+      message.role === 'assistant' &&
+      message?.sources &&
+      message.sources.length === 0
+    ) {
+      setParsedMessage(processedMessage.replace(regex, ''));
+      setSpeechMessage(message.content.replace(regex, ''));
+      return;
    }

    setSpeechMessage(message.content.replace(regex, ''));
@@ -111,6 +127,9 @@ const MessageBox = ({
    overrides: {
      think: {
        component: ThinkTagProcessor,
+        props: {
+          thinkingEnded: thinkingEnded,
+        },
      },
    },
  };
--- a/src/components/MessageInput.tsx
+++ b/src/components/MessageInput.tsx
@@ -6,22 +6,11 @@ import Attach from './MessageInputActions/Attach';
 import CopilotToggle from './MessageInputActions/Copilot';
 import { File } from './ChatWindow';
 import AttachSmall from './MessageInputActions/AttachSmall';
+import { useChat } from '@/lib/hooks/useChat';
+
+const MessageInput = () => {
+  const { loading, sendMessage } = useChat();

-const MessageInput = ({
-  sendMessage,
-  loading,
-  fileIds,
-  setFileIds,
-  files,
-  setFiles,
-}: {
-  sendMessage: (message: string) => void;
-  loading: boolean;
-  fileIds: string[];
-  setFileIds: (fileIds: string[]) => void;
-  files: File[];
-  setFiles: (files: File[]) => void;
-}) => {
  const [copilotEnabled, setCopilotEnabled] = useState(false);
  const [message, setMessage] = useState('');
  const [textareaRows, setTextareaRows] = useState(1);
@@ -79,14 +68,7 @@ const MessageInput = ({
        mode === 'multi' ? 'flex-col rounded-lg' : 'flex-row rounded-full',
      )}
    >
-      {mode === 'single' && (
-        <AttachSmall
-          fileIds={fileIds}
-          setFileIds={setFileIds}
-          files={files}
-          setFiles={setFiles}
-        />
-      )}
+      {mode === 'single' && <AttachSmall />}
      <TextareaAutosize
        ref={inputRef}
        value={message}
@@ -113,12 +95,7 @@ const MessageInput = ({
      )}
      {mode === 'multi' && (
        <div className="flex flex-row items-center justify-between w-full pt-2">
-          <AttachSmall
-            fileIds={fileIds}
-            setFileIds={setFileIds}
-            files={files}
-            setFiles={setFiles}
-          />
+          <AttachSmall />
          <div className="flex flex-row items-center space-x-4">
            <CopilotToggle
              copilotEnabled={copilotEnabled}
--- a/src/components/MessageInputActions/Attach.tsx
+++ b/src/components/MessageInputActions/Attach.tsx
@@ -8,20 +8,11 @@ import {
 import { CopyPlus, File, LoaderCircle, Plus, Trash } from 'lucide-react';
 import { Fragment, useRef, useState } from 'react';
 import { File as FileType } from '../ChatWindow';
+import { useChat } from '@/lib/hooks/useChat';
+
+const Attach = ({ showText }: { showText?: boolean }) => {
+  const { files, setFiles, setFileIds, fileIds } = useChat();

-const Attach = ({
-  fileIds,
-  setFileIds,
-  showText,
-  files,
-  setFiles,
-}: {
-  fileIds: string[];
-  setFileIds: (fileIds: string[]) => void;
-  showText?: boolean;
-  files: FileType[];
-  setFiles: (files: FileType[]) => void;
-}) => {
  const [loading, setLoading] = useState(false);
  const fileInputRef = useRef<any>();

--- a/src/components/MessageInputActions/AttachSmall.tsx
+++ b/src/components/MessageInputActions/AttachSmall.tsx
@@ -8,18 +8,11 @@ import {
 import { CopyPlus, File, LoaderCircle, Plus, Trash } from 'lucide-react';
 import { Fragment, useRef, useState } from 'react';
 import { File as FileType } from '../ChatWindow';
+import { useChat } from '@/lib/hooks/useChat';
+
+const AttachSmall = () => {
+  const { files, setFiles, setFileIds, fileIds } = useChat();

-const AttachSmall = ({
-  fileIds,
-  setFileIds,
-  files,
-  setFiles,
-}: {
-  fileIds: string[];
-  setFileIds: (fileIds: string[]) => void;
-  files: FileType[];
-  setFiles: (files: FileType[]) => void;
-}) => {
  const [loading, setLoading] = useState(false);
  const fileInputRef = useRef<any>();

--- a/src/components/MessageInputActions/Focus.tsx
+++ b/src/components/MessageInputActions/Focus.tsx
@@ -15,6 +15,7 @@ import {
 } from '@headlessui/react';
 import { SiReddit, SiYoutube } from '@icons-pack/react-simple-icons';
 import { Fragment } from 'react';
+import { useChat } from '@/lib/hooks/useChat';

 const focusModes = [
  {
@@ -55,13 +56,9 @@ const focusModes = [
  },
 ];

-const Focus = ({
-  focusMode,
-  setFocusMode,
-}: {
-  focusMode: string;
-  setFocusMode: (mode: string) => void;
-}) => {
+const Focus = () => {
+  const { focusMode, setFocusMode } = useChat();
+
  return (
    <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg mt-[6.5px]">
      <PopoverButton
--- a/src/components/MessageInputActions/Optimization.tsx
+++ b/src/components/MessageInputActions/Optimization.tsx
@@ -7,6 +7,7 @@ import {
  Transition,
 } from '@headlessui/react';
 import { Fragment } from 'react';
+import { useChat } from '@/lib/hooks/useChat';

 const OptimizationModes = [
  {
@@ -34,13 +35,9 @@ const OptimizationModes = [
  },
 ];

-const Optimization = ({
-  optimizationMode,
-  setOptimizationMode,
-}: {
-  optimizationMode: string;
-  setOptimizationMode: (mode: string) => void;
-}) => {
+const Optimization = () => {
+  const { optimizationMode, setOptimizationMode } = useChat();
+
  return (
    <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
      <PopoverButton
--- a/src/components/Navbar.tsx
+++ b/src/components/Navbar.tsx
@@ -10,6 +10,7 @@ import {
  Transition,
 } from '@headlessui/react';
 import jsPDF from 'jspdf';
+import { useChat } from '@/lib/hooks/useChat';

 const downloadFile = (filename: string, content: string, type: string) => {
  const blob = new Blob([content], { type });
@@ -118,16 +119,12 @@ const exportAsPDF = (messages: Message[], title: string) => {
  doc.save(`${title || 'chat'}.pdf`);
 };

-const Navbar = ({
-  chatId,
-  messages,
-}: {
-  messages: Message[];
-  chatId: string;
-}) => {
+const Navbar = () => {
  const [title, setTitle] = useState<string>('');
  const [timeAgo, setTimeAgo] = useState<string>('');

+  const { messages, chatId } = useChat();
+
  useEffect(() => {
    if (messages.length > 0) {
      const newTitle =
@@ -206,7 +203,7 @@ const Navbar = ({
            </PopoverPanel>
          </Transition>
        </Popover>
-        <DeleteChat redirect chatId={chatId} chats={[]} setChats={() => {}} />
+        <DeleteChat redirect chatId={chatId!} chats={[]} setChats={() => {}} />
      </div>
    </div>
  );
--- a/src/components/ThinkBox.tsx
+++ b/src/components/ThinkBox.tsx
@@ -1,15 +1,23 @@
 'use client';

-import { useState } from 'react';
-import { cn } from '@/lib/utils';
+import { useEffect, useState } from 'react';
 import { ChevronDown, ChevronUp, BrainCircuit } from 'lucide-react';

 interface ThinkBoxProps {
  content: string;
+  thinkingEnded: boolean;
 }

-const ThinkBox = ({ content }: ThinkBoxProps) => {
-  const [isExpanded, setIsExpanded] = useState(false);
+const ThinkBox = ({ content, thinkingEnded }: ThinkBoxProps) => {
+  const [isExpanded, setIsExpanded] = useState(true);
+
+  useEffect(() => {
+    if (thinkingEnded) {
+      setIsExpanded(false);
+    } else {
+      setIsExpanded(true);
+    }
+  }, [thinkingEnded]);

  return (
    <div className="my-4 bg-light-secondary/50 dark:bg-dark-secondary/50 rounded-xl border border-light-200 dark:border-dark-200 overflow-hidden">
--- a/src/components/WeatherWidget.tsx
+++ b/src/components/WeatherWidget.tsx
@@ -10,6 +10,7 @@ const WeatherWidget = () => {
    windSpeed: 0,
    icon: '',
    temperatureUnit: 'C',
+    windSpeedUnit: 'm/s',
  });

  const [loading, setLoading] = useState(true);
@@ -75,7 +76,7 @@ const WeatherWidget = () => {
        body: JSON.stringify({
          lat: location.latitude,
          lng: location.longitude,
-          temperatureUnit: localStorage.getItem('temperatureUnit') ?? 'C',
+          measureUnit: localStorage.getItem('measureUnit') ?? 'Metric',
        }),
      });

@@ -95,6 +96,7 @@ const WeatherWidget = () => {
        windSpeed: data.windSpeed,
        icon: data.icon,
        temperatureUnit: data.temperatureUnit,
+        windSpeedUnit: data.windSpeedUnit,
      });
      setLoading(false);
    });
@@ -139,7 +141,7 @@ const WeatherWidget = () => {
              </span>
              <span className="flex items-center text-xs text-black/60 dark:text-white/60">
                <Wind className="w-3 h-3 mr-1" />
-                {data.windSpeed} km/h
+                {data.windSpeed} {data.windSpeedUnit}
              </span>
            </div>
            <span className="text-xs text-black/60 dark:text-white/60 mt-1">
--- a/src/lib/chains/imageSearchAgent.ts
+++ b/src/lib/chains/imageSearchAgent.ts
@@ -3,32 +3,18 @@ import {
  RunnableMap,
  RunnableLambda,
 } from '@langchain/core/runnables';
-import { PromptTemplate } from '@langchain/core/prompts';
+import { ChatPromptTemplate } from '@langchain/core/prompts';
 import formatChatHistoryAsString from '../utils/formatHistory';
 import { BaseMessage } from '@langchain/core/messages';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import { searchSearxng } from '../searxng';
 import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import LineOutputParser from '../outputParsers/lineOutputParser';

 const imageSearchChainPrompt = `
 You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search the web for images.
 You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
-
-Example:
-1. Follow up question: What is a cat?
-Rephrased: A cat
-
-2. Follow up question: What is a car? How does it works?
-Rephrased: Car working
-
-3. Follow up question: How does an AC work?
-Rephrased: AC working
-
-Conversation:
-{chat_history}
-
-Follow up question: {query}
-Rephrased question:
+Output only the rephrased query wrapped in an XML <query> element. Do not include any explanation or additional text.
 `;

 type ImageSearchChainInput = {
@@ -54,12 +40,39 @@ const createImageSearchChain = (llm: BaseChatModel) => {
        return input.query;
      },
    }),
-    PromptTemplate.fromTemplate(imageSearchChainPrompt),
+    ChatPromptTemplate.fromMessages([
+      ['system', imageSearchChainPrompt],
+      [
+        'user',
+        '<conversation>\n</conversation>\n<follow_up>\nWhat is a cat?\n</follow_up>',
+      ],
+      ['assistant', '<query>A cat</query>'],
+
+      [
+        'user',
+        '<conversation>\n</conversation>\n<follow_up>\nWhat is a car? How does it work?\n</follow_up>',
+      ],
+      ['assistant', '<query>Car working</query>'],
+      [
+        'user',
+        '<conversation>\n</conversation>\n<follow_up>\nHow does an AC work?\n</follow_up>',
+      ],
+      ['assistant', '<query>AC working</query>'],
+      [
+        'user',
+        '<conversation>{chat_history}</conversation>\n<follow_up>\n{query}\n</follow_up>',
+      ],
+    ]),
    llm,
    strParser,
    RunnableLambda.from(async (input: string) => {
-      input = input.replace(/<think>.*?<\/think>/g, '');
+      const queryParser = new LineOutputParser({
+        key: 'query',
+      });

+      return await queryParser.parse(input);
+    }),
+    RunnableLambda.from(async (input: string) => {
      const res = await searchSearxng(input, {
        engines: ['bing images', 'google images'],
      });
--- a/src/lib/chains/videoSearchAgent.ts
+++ b/src/lib/chains/videoSearchAgent.ts
@@ -3,33 +3,19 @@ import {
  RunnableMap,
  RunnableLambda,
 } from '@langchain/core/runnables';
-import { PromptTemplate } from '@langchain/core/prompts';
+import { ChatPromptTemplate } from '@langchain/core/prompts';
 import formatChatHistoryAsString from '../utils/formatHistory';
 import { BaseMessage } from '@langchain/core/messages';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import { searchSearxng } from '../searxng';
 import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import LineOutputParser from '../outputParsers/lineOutputParser';

-const VideoSearchChainPrompt = `
-  You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search Youtube for videos.
-  You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
-  
-  Example:
-  1. Follow up question: How does a car work?
-  Rephrased: How does a car work?
-  
-  2. Follow up question: What is the theory of relativity?
-  Rephrased: What is theory of relativity
-  
-  3. Follow up question: How does an AC work?
-  Rephrased: How does an AC work
-  
-  Conversation:
-  {chat_history}
-  
-  Follow up question: {query}
-  Rephrased question:
-  `;
+const videoSearchChainPrompt = `
+You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search Youtube for videos.
+You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
+Output only the rephrased query wrapped in an XML <query> element. Do not include any explanation or additional text.
+`;

 type VideoSearchChainInput = {
  chat_history: BaseMessage[];
@@ -55,12 +41,37 @@ const createVideoSearchChain = (llm: BaseChatModel) => {
        return input.query;
      },
    }),
-    PromptTemplate.fromTemplate(VideoSearchChainPrompt),
+    ChatPromptTemplate.fromMessages([
+      ['system', videoSearchChainPrompt],
+      [
+        'user',
+        '<conversation>\n</conversation>\n<follow_up>\nHow does a car work?\n</follow_up>',
+      ],
+      ['assistant', '<query>How does a car work?</query>'],
+      [
+        'user',
+        '<conversation>\n</conversation>\n<follow_up>\nWhat is the theory of relativity?\n</follow_up>',
+      ],
+      ['assistant', '<query>Theory of relativity</query>'],
+      [
+        'user',
+        '<conversation>\n</conversation>\n<follow_up>\nHow does an AC work?\n</follow_up>',
+      ],
+      ['assistant', '<query>AC working</query>'],
+      [
+        'user',
+        '<conversation>{chat_history}</conversation>\n<follow_up>\n{query}\n</follow_up>',
+      ],
+    ]),
    llm,
    strParser,
    RunnableLambda.from(async (input: string) => {
-      input = input.replace(/<think>.*?<\/think>/g, '');
-
+      const queryParser = new LineOutputParser({
+        key: 'query',
+      });
+      return await queryParser.parse(input);
+    }),
+    RunnableLambda.from(async (input: string) => {
      const res = await searchSearxng(input, {
        engines: ['youtube'],
      });
@@ -92,8 +103,8 @@ const handleVideoSearch = (
  input: VideoSearchChainInput,
  llm: BaseChatModel,
 ) => {
-  const VideoSearchChain = createVideoSearchChain(llm);
-  return VideoSearchChain.invoke(input);
+  const videoSearchChain = createVideoSearchChain(llm);
+  return videoSearchChain.invoke(input);
 };

 export default handleVideoSearch;
--- a/src/lib/config.ts
+++ b/src/lib/config.ts
@@ -31,6 +31,7 @@ interface Config {
    };
    OLLAMA: {
      API_URL: string;
+      API_KEY: string;
    };
    DEEPSEEK: {
      API_KEY: string;
@@ -86,6 +87,8 @@ export const getSearxngApiEndpoint = () =>

 export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;

+export const getOllamaApiKey = () => loadConfig().MODELS.OLLAMA.API_KEY;
+
 export const getDeepseekApiKey = () => loadConfig().MODELS.DEEPSEEK.API_KEY;

 export const getAimlApiKey = () => loadConfig().MODELS.AIMLAPI.API_KEY;
--- a/src/lib/hooks/useChat.tsx
+++ b/src/lib/hooks/useChat.tsx
@@ -0,0 +1,643 @@
+'use client';
+
+import { Message } from '@/components/ChatWindow';
+import { createContext, useContext, useEffect, useRef, useState } from 'react';
+import crypto from 'crypto';
+import { useSearchParams } from 'next/navigation';
+import { toast } from 'sonner';
+import { Document } from '@langchain/core/documents';
+import { getSuggestions } from '../actions';
+
+type ChatContext = {
+  messages: Message[];
+  chatHistory: [string, string][];
+  files: File[];
+  fileIds: string[];
+  focusMode: string;
+  chatId: string | undefined;
+  optimizationMode: string;
+  isMessagesLoaded: boolean;
+  loading: boolean;
+  notFound: boolean;
+  messageAppeared: boolean;
+  isReady: boolean;
+  hasError: boolean;
+  setOptimizationMode: (mode: string) => void;
+  setFocusMode: (mode: string) => void;
+  setFiles: (files: File[]) => void;
+  setFileIds: (fileIds: string[]) => void;
+  sendMessage: (
+    message: string,
+    messageId?: string,
+    rewrite?: boolean,
+  ) => Promise<void>;
+  rewrite: (messageId: string) => void;
+};
+
+export interface File {
+  fileName: string;
+  fileExtension: string;
+  fileId: string;
+}
+
+interface ChatModelProvider {
+  name: string;
+  provider: string;
+}
+
+interface EmbeddingModelProvider {
+  name: string;
+  provider: string;
+}
+
+const checkConfig = async (
+  setChatModelProvider: (provider: ChatModelProvider) => void,
+  setEmbeddingModelProvider: (provider: EmbeddingModelProvider) => void,
+  setIsConfigReady: (ready: boolean) => void,
+  setHasError: (hasError: boolean) => void,
+) => {
+  try {
+    let chatModel = localStorage.getItem('chatModel');
+    let chatModelProvider = localStorage.getItem('chatModelProvider');
+    let embeddingModel = localStorage.getItem('embeddingModel');
+    let embeddingModelProvider = localStorage.getItem('embeddingModelProvider');
+
+    const autoImageSearch = localStorage.getItem('autoImageSearch');
+    const autoVideoSearch = localStorage.getItem('autoVideoSearch');
+
+    if (!autoImageSearch) {
+      localStorage.setItem('autoImageSearch', 'true');
+    }
+
+    if (!autoVideoSearch) {
+      localStorage.setItem('autoVideoSearch', 'false');
+    }
+
+    const providers = await fetch(`/api/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    }).then(async (res) => {
+      if (!res.ok)
+        throw new Error(
+          `Failed to fetch models: ${res.status} ${res.statusText}`,
+        );
+      return res.json();
+    });
+
+    if (
+      !chatModel ||
+      !chatModelProvider ||
+      !embeddingModel ||
+      !embeddingModelProvider
+    ) {
+      if (!chatModel || !chatModelProvider) {
+        const chatModelProviders = providers.chatModelProviders;
+        const chatModelProvidersKeys = Object.keys(chatModelProviders);
+
+        if (!chatModelProviders || chatModelProvidersKeys.length === 0) {
+          return toast.error('No chat models available');
+        } else {
+          chatModelProvider =
+            chatModelProvidersKeys.find(
+              (provider) =>
+                Object.keys(chatModelProviders[provider]).length > 0,
+            ) || chatModelProvidersKeys[0];
+        }
+
+        if (
+          chatModelProvider === 'custom_openai' &&
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0
+        ) {
+          toast.error(
+            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
+          );
+          return setHasError(true);
+        }
+
+        chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+      }
+
+      if (!embeddingModel || !embeddingModelProvider) {
+        const embeddingModelProviders = providers.embeddingModelProviders;
+
+        if (
+          !embeddingModelProviders ||
+          Object.keys(embeddingModelProviders).length === 0
+        )
+          return toast.error('No embedding models available');
+
+        embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
+        embeddingModel = Object.keys(
+          embeddingModelProviders[embeddingModelProvider],
+        )[0];
+      }
+
+      localStorage.setItem('chatModel', chatModel!);
+      localStorage.setItem('chatModelProvider', chatModelProvider);
+      localStorage.setItem('embeddingModel', embeddingModel!);
+      localStorage.setItem('embeddingModelProvider', embeddingModelProvider);
+    } else {
+      const chatModelProviders = providers.chatModelProviders;
+      const embeddingModelProviders = providers.embeddingModelProviders;
+
+      if (
+        Object.keys(chatModelProviders).length > 0 &&
+        (!chatModelProviders[chatModelProvider] ||
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0)
+      ) {
+        const chatModelProvidersKeys = Object.keys(chatModelProviders);
+        chatModelProvider =
+          chatModelProvidersKeys.find(
+            (key) => Object.keys(chatModelProviders[key]).length > 0,
+          ) || chatModelProvidersKeys[0];
+
+        localStorage.setItem('chatModelProvider', chatModelProvider);
+      }
+
+      if (
+        chatModelProvider &&
+        !chatModelProviders[chatModelProvider][chatModel]
+      ) {
+        if (
+          chatModelProvider === 'custom_openai' &&
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0
+        ) {
+          toast.error(
+            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
+          );
+          return setHasError(true);
+        }
+
+        chatModel = Object.keys(
+          chatModelProviders[
+            Object.keys(chatModelProviders[chatModelProvider]).length > 0
+              ? chatModelProvider
+              : Object.keys(chatModelProviders)[0]
+          ],
+        )[0];
+
+        localStorage.setItem('chatModel', chatModel);
+      }
+
+      if (
+        Object.keys(embeddingModelProviders).length > 0 &&
+        !embeddingModelProviders[embeddingModelProvider]
+      ) {
+        embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
+        localStorage.setItem('embeddingModelProvider', embeddingModelProvider);
+      }
+
+      if (
+        embeddingModelProvider &&
+        !embeddingModelProviders[embeddingModelProvider][embeddingModel]
+      ) {
+        embeddingModel = Object.keys(
+          embeddingModelProviders[embeddingModelProvider],
+        )[0];
+        localStorage.setItem('embeddingModel', embeddingModel);
+      }
+    }
+
+    setChatModelProvider({
+      name: chatModel!,
+      provider: chatModelProvider,
+    });
+
+    setEmbeddingModelProvider({
+      name: embeddingModel!,
+      provider: embeddingModelProvider,
+    });
+
+    setIsConfigReady(true);
+  } catch (err) {
+    console.error('An error occurred while checking the configuration:', err);
+    setIsConfigReady(false);
+    setHasError(true);
+  }
+};
+
+const loadMessages = async (
+  chatId: string,
+  setMessages: (messages: Message[]) => void,
+  setIsMessagesLoaded: (loaded: boolean) => void,
+  setChatHistory: (history: [string, string][]) => void,
+  setFocusMode: (mode: string) => void,
+  setNotFound: (notFound: boolean) => void,
+  setFiles: (files: File[]) => void,
+  setFileIds: (fileIds: string[]) => void,
+) => {
+  const res = await fetch(`/api/chats/${chatId}`, {
+    method: 'GET',
+    headers: {
+      'Content-Type': 'application/json',
+    },
+  });
+
+  if (res.status === 404) {
+    setNotFound(true);
+    setIsMessagesLoaded(true);
+    return;
+  }
+
+  const data = await res.json();
+
+  const messages = data.messages.map((msg: any) => {
+    return {
+      ...msg,
+      ...JSON.parse(msg.metadata),
+    };
+  }) as Message[];
+
+  setMessages(messages);
+
+  const history = messages.map((msg) => {
+    return [msg.role, msg.content];
+  }) as [string, string][];
+
+  console.debug(new Date(), 'app:messages_loaded');
+
+  document.title = messages[0].content;
+
+  const files = data.chat.files.map((file: any) => {
+    return {
+      fileName: file.name,
+      fileExtension: file.name.split('.').pop(),
+      fileId: file.fileId,
+    };
+  });
+
+  setFiles(files);
+  setFileIds(files.map((file: File) => file.fileId));
+
+  setChatHistory(history);
+  setFocusMode(data.chat.focusMode);
+  setIsMessagesLoaded(true);
+};
+
+export const chatContext = createContext<ChatContext>({
+  chatHistory: [],
+  chatId: '',
+  fileIds: [],
+  files: [],
+  focusMode: '',
+  hasError: false,
+  isMessagesLoaded: false,
+  isReady: false,
+  loading: false,
+  messageAppeared: false,
+  messages: [],
+  notFound: false,
+  optimizationMode: '',
+  rewrite: () => {},
+  sendMessage: async () => {},
+  setFileIds: () => {},
+  setFiles: () => {},
+  setFocusMode: () => {},
+  setOptimizationMode: () => {},
+});
+
+export const ChatProvider = ({
+  children,
+  id,
+}: {
+  children: React.ReactNode;
+  id?: string;
+}) => {
+  const searchParams = useSearchParams();
+  const initialMessage = searchParams.get('q');
+
+  const [chatId, setChatId] = useState<string | undefined>(id);
+  const [newChatCreated, setNewChatCreated] = useState(false);
+
+  const [loading, setLoading] = useState(false);
+  const [messageAppeared, setMessageAppeared] = useState(false);
+
+  const [chatHistory, setChatHistory] = useState<[string, string][]>([]);
+  const [messages, setMessages] = useState<Message[]>([]);
+
+  const [files, setFiles] = useState<File[]>([]);
+  const [fileIds, setFileIds] = useState<string[]>([]);
+
+  const [focusMode, setFocusMode] = useState('webSearch');
+  const [optimizationMode, setOptimizationMode] = useState('speed');
+
+  const [isMessagesLoaded, setIsMessagesLoaded] = useState(false);
+
+  const [notFound, setNotFound] = useState(false);
+
+  const [chatModelProvider, setChatModelProvider] = useState<ChatModelProvider>(
+    {
+      name: '',
+      provider: '',
+    },
+  );
+
+  const [embeddingModelProvider, setEmbeddingModelProvider] =
+    useState<EmbeddingModelProvider>({
+      name: '',
+      provider: '',
+    });
+
+  const [isConfigReady, setIsConfigReady] = useState(false);
+  const [hasError, setHasError] = useState(false);
+  const [isReady, setIsReady] = useState(false);
+
+  const messagesRef = useRef<Message[]>([]);
+
+  useEffect(() => {
+    checkConfig(
+      setChatModelProvider,
+      setEmbeddingModelProvider,
+      setIsConfigReady,
+      setHasError,
+    );
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, []);
+
+  useEffect(() => {
+    if (
+      chatId &&
+      !newChatCreated &&
+      !isMessagesLoaded &&
+      messages.length === 0
+    ) {
+      loadMessages(
+        chatId,
+        setMessages,
+        setIsMessagesLoaded,
+        setChatHistory,
+        setFocusMode,
+        setNotFound,
+        setFiles,
+        setFileIds,
+      );
+    } else if (!chatId) {
+      setNewChatCreated(true);
+      setIsMessagesLoaded(true);
+      setChatId(crypto.randomBytes(20).toString('hex'));
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, []);
+
+  useEffect(() => {
+    messagesRef.current = messages;
+  }, [messages]);
+
+  useEffect(() => {
+    if (isMessagesLoaded && isConfigReady) {
+      setIsReady(true);
+      console.debug(new Date(), 'app:ready');
+    } else {
+      setIsReady(false);
+    }
+  }, [isMessagesLoaded, isConfigReady]);
+
+  const rewrite = (messageId: string) => {
+    const index = messages.findIndex((msg) => msg.messageId === messageId);
+
+    if (index === -1) return;
+
+    const message = messages[index - 1];
+
+    setMessages((prev) => {
+      return [...prev.slice(0, messages.length > 2 ? index - 1 : 0)];
+    });
+    setChatHistory((prev) => {
+      return [...prev.slice(0, messages.length > 2 ? index - 1 : 0)];
+    });
+
+    sendMessage(message.content, message.messageId, true);
+  };
+
+  useEffect(() => {
+    if (isReady && initialMessage && isConfigReady) {
+      if (!isConfigReady) {
+        toast.error('Cannot send message before the configuration is ready');
+        return;
+      }
+      sendMessage(initialMessage);
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [isConfigReady, isReady, initialMessage]);
+
+  const sendMessage: ChatContext['sendMessage'] = async (
+    message,
+    messageId,
+    rewrite = false,
+  ) => {
+    if (loading) return;
+    setLoading(true);
+    setMessageAppeared(false);
+
+    let sources: Document[] | undefined = undefined;
+    let recievedMessage = '';
+    let added = false;
+
+    messageId = messageId ?? crypto.randomBytes(7).toString('hex');
+
+    setMessages((prevMessages) => [
+      ...prevMessages,
+      {
+        content: message,
+        messageId: messageId,
+        chatId: chatId!,
+        role: 'user',
+        createdAt: new Date(),
+      },
+    ]);
+
+    const messageHandler = async (data: any) => {
+      if (data.type === 'error') {
+        toast.error(data.data);
+        setLoading(false);
+        return;
+      }
+
+      if (data.type === 'sources') {
+        sources = data.data;
+        if (!added) {
+          setMessages((prevMessages) => [
+            ...prevMessages,
+            {
+              content: '',
+              messageId: data.messageId,
+              chatId: chatId!,
+              role: 'assistant',
+              sources: sources,
+              createdAt: new Date(),
+            },
+          ]);
+          added = true;
+        }
+        setMessageAppeared(true);
+      }
+
+      if (data.type === 'message') {
+        if (!added) {
+          setMessages((prevMessages) => [
+            ...prevMessages,
+            {
+              content: data.data,
+              messageId: data.messageId,
+              chatId: chatId!,
+              role: 'assistant',
+              sources: sources,
+              createdAt: new Date(),
+            },
+          ]);
+          added = true;
+        }
+
+        setMessages((prev) =>
+          prev.map((message) => {
+            if (message.messageId === data.messageId) {
+              return { ...message, content: message.content + data.data };
+            }
+
+            return message;
+          }),
+        );
+
+        recievedMessage += data.data;
+        setMessageAppeared(true);
+      }
+
+      if (data.type === 'messageEnd') {
+        setChatHistory((prevHistory) => [
+          ...prevHistory,
+          ['human', message],
+          ['assistant', recievedMessage],
+        ]);
+
+        setLoading(false);
+
+        const lastMsg = messagesRef.current[messagesRef.current.length - 1];
+
+        const autoImageSearch = localStorage.getItem('autoImageSearch');
+        const autoVideoSearch = localStorage.getItem('autoVideoSearch');
+
+        if (autoImageSearch === 'true') {
+          document
+            .getElementById(`search-images-${lastMsg.messageId}`)
+            ?.click();
+        }
+
+        if (autoVideoSearch === 'true') {
+          document
+            .getElementById(`search-videos-${lastMsg.messageId}`)
+            ?.click();
+        }
+
+        if (
+          lastMsg.role === 'assistant' &&
+          lastMsg.sources &&
+          lastMsg.sources.length > 0 &&
+          !lastMsg.suggestions
+        ) {
+          const suggestions = await getSuggestions(messagesRef.current);
+          setMessages((prev) =>
+            prev.map((msg) => {
+              if (msg.messageId === lastMsg.messageId) {
+                return { ...msg, suggestions: suggestions };
+              }
+              return msg;
+            }),
+          );
+        }
+      }
+    };
+
+    const messageIndex = messages.findIndex((m) => m.messageId === messageId);
+
+    const res = await fetch('/api/chat', {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({
+        content: message,
+        message: {
+          messageId: messageId,
+          chatId: chatId!,
+          content: message,
+        },
+        chatId: chatId!,
+        files: fileIds,
+        focusMode: focusMode,
+        optimizationMode: optimizationMode,
+        history: rewrite
+          ? chatHistory.slice(0, messageIndex === -1 ? undefined : messageIndex)
+          : chatHistory,
+        chatModel: {
+          name: chatModelProvider.name,
+          provider: chatModelProvider.provider,
+        },
+        embeddingModel: {
+          name: embeddingModelProvider.name,
+          provider: embeddingModelProvider.provider,
+        },
+        systemInstructions: localStorage.getItem('systemInstructions'),
+      }),
+    });
+
+    if (!res.body) throw new Error('No response body');
+
+    const reader = res.body?.getReader();
+    const decoder = new TextDecoder('utf-8');
+
+    let partialChunk = '';
+
+    while (true) {
+      const { value, done } = await reader.read();
+      if (done) break;
+
+      partialChunk += decoder.decode(value, { stream: true });
+
+      try {
+        const messages = partialChunk.split('\n');
+        for (const msg of messages) {
+          if (!msg.trim()) continue;
+          const json = JSON.parse(msg);
+          messageHandler(json);
+        }
+        partialChunk = '';
+      } catch (error) {
+        console.warn('Incomplete JSON, waiting for next chunk...');
+      }
+    }
+  };
+
+  return (
+    <chatContext.Provider
+      value={{
+        messages,
+        chatHistory,
+        files,
+        fileIds,
+        focusMode,
+        chatId,
+        hasError,
+        isMessagesLoaded,
+        isReady,
+        loading,
+        messageAppeared,
+        notFound,
+        optimizationMode,
+        setFileIds,
+        setFiles,
+        setFocusMode,
+        setOptimizationMode,
+        rewrite,
+        sendMessage,
+      }}
+    >
+      {children}
+    </chatContext.Provider>
+  );
+};
+
+export const useChat = () => {
+  const ctx = useContext(chatContext);
+  return ctx;
+};
--- a/src/lib/providers/aimlapi.ts
+++ b/src/lib/providers/aimlapi.ts
@@ -38,7 +38,7 @@ export const loadAimlApiChatModels = async () => {
        chatModels[model.id] = {
          displayName: model.name || model.id,
          model: new ChatOpenAI({
-            openAIApiKey: apiKey,
+            apiKey: apiKey,
            modelName: model.id,
            temperature: 0.7,
            configuration: {
@@ -76,7 +76,7 @@ export const loadAimlApiEmbeddingModels = async () => {
        embeddingModels[model.id] = {
          displayName: model.name || model.id,
          model: new OpenAIEmbeddings({
-            openAIApiKey: apiKey,
+            apiKey: apiKey,
            modelName: model.id,
            configuration: {
              baseURL: API_URL,
--- a/src/lib/providers/anthropic.ts
+++ b/src/lib/providers/anthropic.ts
@@ -9,6 +9,18 @@ export const PROVIDER_INFO = {
 import { BaseChatModel } from '@langchain/core/language_models/chat_models';

 const anthropicChatModels: Record<string, string>[] = [
+  {
+    displayName: 'Claude 4.1 Opus',
+    key: 'claude-opus-4-1-20250805',
+  },
+  {
+    displayName: 'Claude 4 Opus',
+    key: 'claude-opus-4-20250514',
+  },
+  {
+    displayName: 'Claude 4 Sonnet',
+    key: 'claude-sonnet-4-20250514',
+  },
  {
    displayName: 'Claude 3.7 Sonnet',
    key: 'claude-3-7-sonnet-20250219',
--- a/src/lib/providers/deepseek.ts
+++ b/src/lib/providers/deepseek.ts
@@ -31,7 +31,7 @@ export const loadDeepseekChatModels = async () => {
      chatModels[model.key] = {
        displayName: model.displayName,
        model: new ChatOpenAI({
-          openAIApiKey: deepseekApiKey,
+          apiKey: deepseekApiKey,
          modelName: model.key,
          temperature: 0.7,
          configuration: {
--- a/src/lib/providers/gemini.ts
+++ b/src/lib/providers/gemini.ts
@@ -14,16 +14,16 @@ import { Embeddings } from '@langchain/core/embeddings';

 const geminiChatModels: Record<string, string>[] = [
  {
-    displayName: 'Gemini 2.5 Flash Preview 05-20',
-    key: 'gemini-2.5-flash-preview-05-20',
+    displayName: 'Gemini 2.5 Flash',
+    key: 'gemini-2.5-flash',
  },
  {
-    displayName: 'Gemini 2.5 Pro Preview',
-    key: 'gemini-2.5-pro-preview-05-06',
+    displayName: 'Gemini 2.5 Flash-Lite',
+    key: 'gemini-2.5-flash-lite',
  },
  {
-    displayName: 'Gemini 2.5 Pro Experimental',
-    key: 'gemini-2.5-pro-preview-05-06',
+    displayName: 'Gemini 2.5 Pro',
+    key: 'gemini-2.5-pro',
  },
  {
    displayName: 'Gemini 2.0 Flash',
@@ -75,7 +75,7 @@ export const loadGeminiChatModels = async () => {
        displayName: model.displayName,
        model: new ChatGoogleGenerativeAI({
          apiKey: geminiApiKey,
-          modelName: model.key,
+          model: model.key,
          temperature: 0.7,
        }) as unknown as BaseChatModel,
      };
@@ -108,7 +108,7 @@ export const loadGeminiEmbeddingModels = async () => {

    return embeddingModels;
  } catch (err) {
-    console.error(`Error loading OpenAI embeddings models: ${err}`);
+    console.error(`Error loading Gemini embeddings models: ${err}`);
    return {};
  }
 };
--- a/src/lib/providers/groq.ts
+++ b/src/lib/providers/groq.ts
@@ -1,4 +1,4 @@
-import { ChatOpenAI } from '@langchain/openai';
+import { ChatGroq } from '@langchain/groq';
 import { getGroqApiKey } from '../config';
 import { ChatModel } from '.';

@@ -28,13 +28,10 @@ export const loadGroqChatModels = async () => {
    groqChatModels.forEach((model: any) => {
      chatModels[model.id] = {
        displayName: model.id,
-        model: new ChatOpenAI({
-          openAIApiKey: groqApiKey,
-          modelName: model.id,
+        model: new ChatGroq({
+          apiKey: groqApiKey,
+          model: model.id,
          temperature: 0.7,
-          configuration: {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
        }) as unknown as BaseChatModel,
      };
    });
--- a/src/lib/providers/index.ts
+++ b/src/lib/providers/index.ts
@@ -118,7 +118,7 @@ export const getAvailableChatModelProviders = async () => {
          [customOpenAiModelName]: {
            displayName: customOpenAiModelName,
            model: new ChatOpenAI({
-              openAIApiKey: customOpenAiApiKey,
+              apiKey: customOpenAiApiKey,
              modelName: customOpenAiModelName,
              temperature: 0.7,
              configuration: {
--- a/src/lib/providers/lmstudio.ts
+++ b/src/lib/providers/lmstudio.ts
@@ -47,7 +47,7 @@ export const loadLMStudioChatModels = async () => {
      chatModels[model.id] = {
        displayName: model.name || model.id,
        model: new ChatOpenAI({
-          openAIApiKey: 'lm-studio',
+          apiKey: 'lm-studio',
          configuration: {
            baseURL: ensureV1Endpoint(endpoint),
          },
@@ -83,7 +83,7 @@ export const loadLMStudioEmbeddingsModels = async () => {
      embeddingsModels[model.id] = {
        displayName: model.name || model.id,
        model: new OpenAIEmbeddings({
-          openAIApiKey: 'lm-studio',
+          apiKey: 'lm-studio',
          configuration: {
            baseURL: ensureV1Endpoint(endpoint),
          },
--- a/src/lib/providers/ollama.ts
+++ b/src/lib/providers/ollama.ts
@@ -1,16 +1,17 @@
 import axios from 'axios';
-import { getKeepAlive, getOllamaApiEndpoint } from '../config';
+import { getKeepAlive, getOllamaApiEndpoint, getOllamaApiKey } from '../config';
 import { ChatModel, EmbeddingModel } from '.';

 export const PROVIDER_INFO = {
  key: 'ollama',
  displayName: 'Ollama',
 };
-import { ChatOllama } from '@langchain/community/chat_models/ollama';
-import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
+import { ChatOllama } from '@langchain/ollama';
+import { OllamaEmbeddings } from '@langchain/ollama';

 export const loadOllamaChatModels = async () => {
  const ollamaApiEndpoint = getOllamaApiEndpoint();
+  const ollamaApiKey = getOllamaApiKey();

  if (!ollamaApiEndpoint) return {};

@@ -33,6 +34,9 @@ export const loadOllamaChatModels = async () => {
          model: model.model,
          temperature: 0.7,
          keepAlive: getKeepAlive(),
+          ...(ollamaApiKey
+            ? { headers: { Authorization: `Bearer ${ollamaApiKey}` } }
+            : {}),
        }),
      };
    });
@@ -46,6 +50,7 @@ export const loadOllamaChatModels = async () => {

 export const loadOllamaEmbeddingModels = async () => {
  const ollamaApiEndpoint = getOllamaApiEndpoint();
+  const ollamaApiKey = getOllamaApiKey();

  if (!ollamaApiEndpoint) return {};

@@ -66,6 +71,9 @@ export const loadOllamaEmbeddingModels = async () => {
        model: new OllamaEmbeddings({
          baseUrl: ollamaApiEndpoint,
          model: model.model,
+          ...(ollamaApiKey
+            ? { headers: { Authorization: `Bearer ${ollamaApiKey}` } }
+            : {}),
        }),
      };
    });
--- a/src/lib/providers/openai.ts
+++ b/src/lib/providers/openai.ts
@@ -42,6 +42,18 @@ const openaiChatModels: Record<string, string>[] = [
    displayName: 'GPT 4.1',
    key: 'gpt-4.1',
  },
+  {
+    displayName: 'GPT 5 nano',
+    key: 'gpt-5-nano',
+  },
+  {
+    displayName: 'GPT 5 mini',
+    key: 'gpt-5-mini',
+  },
+  {
+    displayName: 'GPT 5',
+    key: 'gpt-5',
+  },
 ];

 const openaiEmbeddingModels: Record<string, string>[] = [
@@ -67,9 +79,9 @@ export const loadOpenAIChatModels = async () => {
      chatModels[model.key] = {
        displayName: model.displayName,
        model: new ChatOpenAI({
-          openAIApiKey: openaiApiKey,
+          apiKey: openaiApiKey,
          modelName: model.key,
-          temperature: 0.7,
+          temperature: model.key.includes('gpt-5') ? 1 : 0.7,
        }) as unknown as BaseChatModel,
      };
    });
@@ -93,7 +105,7 @@ export const loadOpenAIEmbeddingModels = async () => {
      embeddingModels[model.key] = {
        displayName: model.displayName,
        model: new OpenAIEmbeddings({
-          openAIApiKey: openaiApiKey,
+          apiKey: openaiApiKey,
          modelName: model.key,
        }) as unknown as Embeddings,
      };
--- a/src/lib/utils/formatHistory.ts
+++ b/src/lib/utils/formatHistory.ts
@@ -1,8 +1,11 @@
-import { BaseMessage } from '@langchain/core/messages';
+import { BaseMessage, isAIMessage } from '@langchain/core/messages';

 const formatChatHistoryAsString = (history: BaseMessage[]) => {
  return history
-    .map((message) => `${message._getType()}: ${message.content}`)
+    .map(
+      (message) =>
+        `${isAIMessage(message) ? 'AI' : 'User'}: ${message.content}`,
+    )
    .join('\n');
 };

--- a/yarn.lock
+++ b/yarn.lock
Author	SHA1	Message	Date
ItzCrazyKns	8dc54efbdd	feat(chat-route): lint & beautify	2025-08-21 17:48:55 +05:30
ItzCrazyKns	72f26b4370	feat(upload): save files uploaded after chat created	2025-08-21 17:47:49 +05:30
ItzCrazyKns	f680188905	feat(ollama): add ability to provide api key	2025-08-20 20:32:13 +05:30
ItzCrazyKns	0b15bfbe32	feat(app): switch to useChat hook	2025-08-20 20:21:06 +05:30
ItzCrazyKns	8fc7808654	feat(hooks): implement useChat hook	2025-08-20 20:20:50 +05:30
ItzCrazyKns	0dc17286b9	Merge branch 'pr/843'	2025-08-12 21:39:25 +05:30
ItzCrazyKns	3edd7d44dd	feat(openai): conditionally set temperature	2025-08-12 21:39:14 +05:30
Samuel Dockery	1132997108	feat: Add support for latest AI models from Anthropic, Google, & OpenAI	2025-08-10 07:50:31 -07:00
ItzCrazyKns	eadbedb713	feat(groq): switch to `@langchain/groq` for better handling	2025-08-02 17:14:34 +05:30
ItzCrazyKns	37cd6d3ab5	feat(discover): prevent duplicate articles	2025-08-01 20:41:07 +05:30
ItzCrazyKns	88be3a045b	feat(discover): randomly sort results	2025-07-29 13:18:36 +05:30
ItzCrazyKns	45b51ab156	feat(discover-api): handle topics	2025-07-29 13:17:07 +05:30
ItzCrazyKns	3bee01cfa7	feat(discover): add topic selection	2025-07-28 20:39:50 +05:30
ItzCrazyKns	567c6a8758	Merge branch 'pr/831'	2025-07-24 22:36:19 +05:30
ItzCrazyKns	81a91da743	feat(gemini): use `model` instead of `modelName`	2025-07-23 12:22:26 +05:30
ItzCrazyKns	70a61ee1eb	feat(think-box): handle thinkingEnded	2025-07-23 12:21:07 +05:30
ItzCrazyKns	9d89a4413b	feat(format-history): remove extra `:`	2025-07-23 12:20:49 +05:30
ItzCrazyKns	6ea17d54c6	feat(chat-window): fix wrong history while rewriting	2025-07-22 21:21:49 +05:30
ItzCrazyKns	11a828b073	feat(message-box): close think box after thinking process ends	2025-07-22 21:21:09 +05:30
ItzCrazyKns	37022fb11e	feat(format-history): update role determination	2025-07-22 21:20:16 +05:30
ItzCrazyKns	dd50d4927b	Merge branch 'master' of https://github.com/ItzCrazyKns/Perplexica	2025-07-22 12:27:11 +05:30
ItzCrazyKns	fdaf3af3af	Merge pull request #832 from tuxthepenguin84/patch-2 Fix name of provider in embeddings models error message	2025-07-21 20:56:24 +05:30
Samuel Dockery	3f2a8f862c	Fix name of provider in embeddings models error message	2025-07-20 09:20:39 -07:00
Samuel Dockery	58c7be6e95	Update Gemini 2.5 Models	2025-07-20 09:17:20 -07:00
ItzCrazyKns	829b4e7134	feat(custom-openai): use `apiKey` instead of `openAIApiKey`	2025-07-19 21:37:34 +05:30
ItzCrazyKns	77870b39cc	feat(ollama): use `@langchain/ollama` library	2025-07-19 21:37:34 +05:30
ItzCrazyKns	8e0ae9b867	feat(providers): switch to `apiKey` key	2025-07-19 21:37:34 +05:30
ItzCrazyKns	543f1df5ce	feat(modules): update langchain packages	2025-07-19 21:37:34 +05:30
ItzCrazyKns	341aae4587	Merge branch 'pr/830'	2025-07-19 21:36:23 +05:30
Willie Zutz	7f62907385	feat(weather): update measurement units to Imperial/Metric	2025-07-19 08:53:11 -06:00
ItzCrazyKns	7c4aa683a2	feat(chains): remove unused imports	2025-07-19 17:57:32 +05:30
ItzCrazyKns	b48b0eeb0e	feat(imageSearch): use XML parsing, implement few shot prompting	2025-07-19 17:52:30 +05:30
ItzCrazyKns	cddc793915	feat(videoSearch): use XML parsing, use few shot prompting	2025-07-19 17:52:14 +05:30