Merge branch 'master' of github.com:khoj-ai/khoj into features/advanced-reasoning

README.md

@@ -38,8 +38,8 @@
 - Chat with any local or online LLM (e.g llama3, qwen, gemma, mistral, gpt, claude, gemini).
 - Get answers from the internet and your docs (including image, pdf, markdown, org-mode, word, notion files).
 - Access it from your Browser, Obsidian, Emacs, Desktop, Phone or Whatsapp.
-- Build agents with custom knowledge bases and tools.
-- Create automations to get personal newsletters and smart notifications.
+- Create agents with custom knowledge, persona, chat model and tools to take on any role.
+- Automate away repetitive research. Get personal newsletters and smart notifications delivered to your inbox.
 - Find relevant docs quickly and easily using our advanced semantic search.
 - Generate images, talk out loud, play your messages.
 - Khoj is open-source, self-hostable. Always.

documentation/docs/advanced/admin.md

@@ -1,6 +1,8 @@
 # Admin Panel
 > Describes the Khoj settings configurable via the admin panel
 
+By default, you admin panel is available at `http://localhost:42110/server/admin/`. You can access the admin panel by logging in with your admin credentials (this would be your `KHOJ_ADMIN_EMAIL` and `KHOJ_ADMIN_PASSWORD`). The admin panel allows you to configure various settings for your Khoj server.
+
 ## App Settings
 ### Agents
 Add all the agents you want to use for your different use-cases like Writer, Researcher, Therapist etc.

documentation/docs/clients/whatsapp.md

@@ -12,7 +12,7 @@ Without any desktop clients, you can start chatting with Khoj on WhatsApp. Bear
 
 In order to use Khoj on WhatsApp with your own data, you need to setup a Khoj Cloud account and connect your WhatsApp account to it. This is a one time setup and you can do it from the [Khoj Cloud config page](https://app.khoj.dev/settings).
 
-If you hit usage limits for the WhatsApp bot, upgrade to [a paid plan](https://khoj.dev/pricing) on Khoj Cloud.
+If you hit usage limits for the WhatsApp bot, upgrade to [a paid plan](https://khoj.dev/#pricing) on Khoj Cloud.
 
 <img src="https://khoj-web-bucket.s3.amazonaws.com/khojwhatsapp.png" alt="WhatsApp QR Code" width="300" height="300" />
 

documentation/docs/contributing/development.mdx

@@ -102,7 +102,19 @@ sudo -u postgres createdb khoj --password
     </TabItem>
   </Tabs>
 
-#### 3. Run
+#### 3. Build the front-end assets
+
+```shell
+cd src/interface/web/
+yarn install
+yarn export
+```
+
+You can optionally use `yarn dev` to start a development server for the front-end which will be available at http://localhost:3000. This is especially useful if you're making changes to the front-end code, but not necessary for running Khoj. Note that streaming does not work on the dev server due to how it is handled with SSR in Next.js.
+
+Always run `yarn export` to test your front-end changes on http://localhost:42110 before creating a PR.
+
+#### 4. Run
 1. Start Khoj
    ```bash
    khoj -vv

documentation/docs/get-started/setup.mdx

@@ -40,7 +40,7 @@ If you want to use the offline chat model and you have a GPU, you should use Ins
       </TabItem>
       <TabItem value="linux" label="Linux">
         <h3>Prerequisites</h3>
-        Install [Docker Desktop](https://docs.docker.com/desktop/install/windows-install/).
+        Install [Docker Desktop](https://docs.docker.com/desktop/install/linux/).
         You can also use your package manager to install Docker Engine & Docker Compose.
       </TabItem>
     </Tabs>
@@ -240,7 +240,7 @@ Ensure you are using **localhost, not 127.0.0.1**, to access the admin panel to
 
 :::info[DISALLOWED HOST or Bad Request (400) Error]
 You may hit this if you try access Khoj exposed on a custom domain (e.g. 192.168.12.3 or example.com) or over HTTP.
-Set the environment variables KHOJ_DOMAIN=your-domain and KHOJ_NO_HTTPS=false if required to avoid this error.
+Set the environment variables KHOJ_DOMAIN=your-domain and KHOJ_NO_HTTPS=True if required to avoid this error.
 :::
 
 :::tip[Note]

manifest.json

@@ -1,7 +1,7 @@
 {
 	"id": "khoj",
 	"name": "Khoj",
-	"version": "1.25.0",
+	"version": "1.26.4",
 	"minAppVersion": "0.15.0",
 	"description": "Your Second Brain",
 	"author": "Khoj Inc.",

pyproject.toml

@@ -62,8 +62,8 @@ dependencies = [
     "requests >= 2.26.0",
     "tenacity == 8.3.0",
     "anyio == 3.7.1",
-    "pymupdf >= 1.23.5",
-    "django == 5.0.8",
+    "pymupdf == 1.24.11",
+    "django == 5.0.9",
     "authlib == 1.2.1",
     "llama-cpp-python == 0.2.88",
     "itsdangerous == 2.1.2",

src/interface/desktop/chat.html

@@ -326,7 +326,7 @@
                         entries.forEach(entry => {
                             // If the element is in the viewport, fetch the remaining message and unobserve the element
                             if (entry.isIntersecting) {
-                                fetchRemainingChatMessages(chatHistoryUrl, headers);
+                                fetchRemainingChatMessages(chatHistoryUrl, headers, chatBody.dataset.conversation_id, hostURL);
                                 observer.unobserve(entry.target);
                             }
                         });
@@ -342,7 +342,11 @@
                                 new Date(chat_log.created),
                                 chat_log.onlineContext,
                                 chat_log.intent?.type,
-                                chat_log.intent?.["inferred-queries"]);
+                                chat_log.intent?.["inferred-queries"],
+                                chatBody.dataset.conversationId ?? "",
+                                hostURL,
+                            );
+
                             chatBody.appendChild(messageElement);
 
                             // When the 4th oldest message is within viewing distance (~60% scrolled up)
@@ -421,7 +425,7 @@
             }
         }
 
-        function fetchRemainingChatMessages(chatHistoryUrl, headers) {
+        function fetchRemainingChatMessages(chatHistoryUrl, headers, conversationId, hostURL) {
             // Create a new IntersectionObserver
             let observer = new IntersectionObserver((entries, observer) => {
                 entries.forEach(entry => {
@@ -435,7 +439,9 @@
                             new Date(chat_log.created),
                             chat_log.onlineContext,
                             chat_log.intent?.type,
-                            chat_log.intent?.["inferred-queries"]
+                            chat_log.intent?.["inferred-queries"],
+                            chatBody.dataset.conversationId ?? "",
+                            hostURL,
                         );
                         entry.target.replaceWith(messageElement);
 

src/interface/desktop/chatutils.js

@@ -189,11 +189,19 @@ function processOnlineReferences(referenceSection, onlineContext) { //same
     return numOnlineReferences;
 }
 
-function renderMessageWithReference(message, by, context=null, dt=null, onlineContext=null, intentType=null, inferredQueries=null) { //same
+function renderMessageWithReference(message, by, context=null, dt=null, onlineContext=null, intentType=null, inferredQueries=null, conversationId=null, hostURL=null) {
     let chatEl;
     if (intentType?.includes("text-to-image")) {
         let imageMarkdown = generateImageMarkdown(message, intentType, inferredQueries);
         chatEl = renderMessage(imageMarkdown, by, dt, null, false, "return");
+    } else if (intentType === "excalidraw") {
+        let domain = hostURL ?? "https://app.khoj.dev/";
+
+        if (!domain.endsWith("/")) domain += "/";
+
+        let excalidrawMessage = `Hey, I'm not ready to show you diagrams yet here. But you can view it in the web app at ${domain}chat?conversationId=${conversationId}`;
+
+        chatEl = renderMessage(excalidrawMessage, by, dt, null, false, "return");
     } else {
         chatEl = renderMessage(message, by, dt, null, false, "return");
     }
@@ -312,7 +320,6 @@ function formatHTMLMessage(message, raw=false, willReplace=true) { //same
 }
 
 function createReferenceSection(references, createLinkerSection=false) {
-    console.log("linker data: ", createLinkerSection);
     let referenceSection = document.createElement('div');
     referenceSection.classList.add("reference-section");
     referenceSection.classList.add("collapsed");
@@ -417,7 +424,11 @@ function handleImageResponse(imageJson, rawResponse) {
             rawResponse += `![generated_image](${imageJson.image})`;
         } else if (imageJson.intentType === "text-to-image-v3") {
             rawResponse = `![](data:image/webp;base64,${imageJson.image})`;
+        } else if (imageJson.intentType === "excalidraw") {
+            const redirectMessage = `Hey, I'm not ready to show you diagrams yet here. But you can view it in the web app`;
+            rawResponse += redirectMessage;
         }
+
         if (inferredQuery) {
             rawResponse += `\n\n**Inferred Query**:\n\n${inferredQuery}`;
         }

src/interface/desktop/main.js

@@ -19,7 +19,7 @@ const textFileTypes = [
     'org', 'md', 'markdown', 'txt', 'html', 'xml',
     // Other valid text file extensions from https://google.github.io/magika/model/config.json
     'appleplist', 'asm', 'asp', 'batch', 'c', 'cs', 'css', 'csv', 'eml', 'go', 'html', 'ini', 'internetshortcut', 'java', 'javascript', 'json', 'latex', 'lisp', 'makefile', 'markdown', 'mht', 'mum', 'pem', 'perl', 'php', 'powershell', 'python', 'rdf', 'rst', 'rtf', 'ruby', 'rust', 'scala', 'shell', 'smali', 'sql', 'svg', 'symlinktext', 'txt', 'vba', 'winregistry', 'xml', 'yaml']
-const binaryFileTypes = ['pdf', 'jpg', 'jpeg', 'png']
+const binaryFileTypes = ['pdf', 'jpg', 'jpeg', 'png', 'webp']
 const validFileTypes = textFileTypes.concat(binaryFileTypes);
 
 const schema = {
@@ -104,6 +104,8 @@ function filenameToMimeType (filename) {
         case 'jpg':
         case 'jpeg':
             return 'image/jpeg';
+        case 'webp':
+            return 'image/webp';
         case 'md':
         case 'markdown':
             return 'text/markdown';

src/interface/desktop/package.json

@@ -1,6 +1,6 @@
 {
   "name": "Khoj",
-  "version": "1.25.0",
+  "version": "1.26.4",
   "description": "Your Second Brain",
   "author": "Khoj Inc. <team@khoj.dev>",
   "license": "GPL-3.0-or-later",

src/interface/emacs/khoj.el

@@ -6,7 +6,7 @@
 ;;         Saba Imran <saba@khoj.dev>
 ;; Description: Your Second Brain
 ;; Keywords: search, chat, ai, org-mode, outlines, markdown, pdf, image
-;; Version: 1.25.0
+;; Version: 1.26.4
 ;; Package-Requires: ((emacs "27.1") (transient "0.3.0") (dash "2.19.1"))
 ;; URL: https://github.com/khoj-ai/khoj/tree/master/src/interface/emacs
 
@@ -127,6 +127,11 @@
                  (const "image")
                  (const "pdf")))
 
+(defcustom khoj-default-agent "khoj"
+  "The default agent to chat with. See https://app.khoj.dev/agents for available options."
+  :group 'khoj
+  :type 'string)
+
 
 ;; --------------------------
 ;; Khoj Dynamic Configuration
@@ -144,6 +149,9 @@
 (defconst khoj--chat-buffer-name "*🏮 Khoj Chat*"
   "Name of chat buffer for Khoj.")
 
+(defvar khoj--selected-agent khoj-default-agent
+  "Currently selected Khoj agent.")
+
 (defvar khoj--content-type "org"
   "The type of content to perform search on.")
 
@@ -656,13 +664,15 @@ Simplified fork of `org-cycle-content' from Emacs 29.1 to work with >=27.1."
 ;; --------------
 ;; Query Khoj API
 ;; --------------
-(defun khoj--call-api (path &optional method params callback &rest cbargs)
-  "Sync call API at PATH with METHOD and query PARAMS as kv assoc list.
+(defun khoj--call-api (path &optional method params body callback &rest cbargs)
+  "Sync call API at PATH with METHOD, query PARAMS and BODY as kv assoc list.
 Optionally apply CALLBACK with JSON parsed response and CBARGS."
   (let* ((url-request-method (or method "GET"))
          (url-request-extra-headers `(("Authorization" . ,(format "Bearer %s" khoj-api-key))))
-         (param-string (if params (url-build-query-string params) ""))
-         (query-url (format "%s%s?%s&client=emacs" khoj-server-url path param-string))
+         (url-request-extra-headers `(("Authorization" . ,(format "Bearer %s" khoj-api-key)) ("Content-Type" . "application/json")))
+         (url-request-data (if body (json-encode body) nil))
+         (param-string (url-build-query-string (append params '((client "emacs")))))
+         (query-url (format "%s%s?%s" khoj-server-url path param-string))
          (cbargs (if (and (listp cbargs) (listp (car cbargs))) (car cbargs) cbargs))) ; normalize cbargs to (a b) from ((a b)) if required
     (with-temp-buffer
       (condition-case ex
@@ -682,8 +692,8 @@ Optionally apply CALLBACK with JSON parsed response and CBARGS."
          (url-request-extra-headers `(("Authorization" . ,(format "Bearer %s" khoj-api-key)) ("Content-Type" . "application/json")))
          (url-request-data (if body (json-encode body) nil))
          (param-string (url-build-query-string (append params '((client "emacs")))))
-         (cbargs (if (and (listp cbargs) (listp (car cbargs))) (car cbargs) cbargs)) ; normalize cbargs to (a b) from ((a b)) if required
-         (query-url (format "%s%s?%s" khoj-server-url path param-string)))
+         (query-url (format "%s%s?%s" khoj-server-url path param-string))
+         (cbargs (if (and (listp cbargs) (listp (car cbargs))) (car cbargs) cbargs))) ; normalize cbargs to (a b) from ((a b)) if required
     (url-retrieve query-url
                   (lambda (status)
                     (if (plist-get status :error)
@@ -699,7 +709,7 @@ Optionally apply CALLBACK with JSON parsed response and CBARGS."
 
 (defun khoj--get-enabled-content-types ()
   "Get content types enabled for search from API."
-  (khoj--call-api "/api/content/types" "GET" nil `(lambda (item) (mapcar #'intern item))))
+  (khoj--call-api "/api/content/types" "GET" nil nil `(lambda (item) (mapcar #'intern item))))
 
 (defun khoj--query-search-api-and-render-results (query content-type buffer-name &optional rerank is-find-similar)
   "Query Khoj Search API with QUERY, CONTENT-TYPE and RERANK as query params.
@@ -913,14 +923,16 @@ Call CALLBACK func with response and CBARGS."
   (let ((selected-session-id (khoj--select-conversation-session "Open")))
     (khoj--load-chat-session khoj--chat-buffer-name selected-session-id)))
 
-(defun khoj--create-chat-session ()
-  "Create new chat session."
-  (khoj--call-api "/api/chat/sessions" "POST"))
+(defun khoj--create-chat-session (&optional agent)
+  "Create new chat session with AGENT."
+  (khoj--call-api "/api/chat/sessions"
+                  "POST"
+                  (when agent `(("agent_slug" ,agent)))))
 
-(defun khoj--new-conversation-session ()
-  "Create new Khoj conversation session."
+(defun khoj--new-conversation-session (&optional agent)
+  "Create new Khoj conversation session with AGENT."
   (thread-last
-    (khoj--create-chat-session)
+    (khoj--create-chat-session agent)
     (assoc 'conversation_id)
     (cdr)
     (khoj--chat)))
@@ -935,6 +947,15 @@ Call CALLBACK func with response and CBARGS."
     (khoj--select-conversation-session "Delete")
     (khoj--delete-chat-session)))
 
+(defun khoj--get-agents ()
+  "Get list of available Khoj agents."
+  (let* ((response (khoj--call-api "/api/agents" "GET"))
+         (agents (mapcar (lambda (agent)
+                           (cons (cdr (assoc 'name agent))
+                                 (cdr (assoc 'slug agent))))
+                         response)))
+    agents))
+
 (defun khoj--render-chat-message (message sender &optional receive-date)
   "Render chat messages as `org-mode' list item.
 MESSAGE is the text of the chat message.
@@ -1246,6 +1267,20 @@ Paragraph only starts at first text after blank line."
     ;; dynamically set choices to content types enabled on khoj backend
     :choices (or (ignore-errors (mapcar #'symbol-name (khoj--get-enabled-content-types))) '("all" "org" "markdown" "pdf" "image")))
 
+  (transient-define-argument khoj--agent-switch ()
+    :class 'transient-switches
+    :argument-format "--agent=%s"
+    :argument-regexp ".+"
+    :init-value (lambda (obj)
+                  (oset obj value (format "--agent=%s" khoj--selected-agent)))
+    :choices (or (ignore-errors (mapcar #'cdr (khoj--get-agents))) '("khoj"))
+    :reader (lambda (prompt initial-input history)
+              (let* ((agents (khoj--get-agents))
+                    (selected (completing-read prompt agents nil t initial-input history))
+                    (slug (cdr (assoc selected agents))))
+                (setq khoj--selected-agent slug)
+                slug)))
+
   (transient-define-suffix khoj--search-command (&optional args)
     (interactive (list (transient-args transient-current-command)))
     (progn
@@ -1287,10 +1322,11 @@ Paragraph only starts at first text after blank line."
     (interactive (list (transient-args transient-current-command)))
     (khoj--open-conversation-session))
 
-  (transient-define-suffix khoj--new-conversation-session-command (&optional _)
+  (transient-define-suffix khoj--new-conversation-session-command (&optional args)
     "Command to select Khoj conversation sessions to open."
     (interactive (list (transient-args transient-current-command)))
-    (khoj--new-conversation-session))
+    (let ((agent-slug (transient-arg-value "--agent=" args)))
+      (khoj--new-conversation-session agent-slug)))
 
   (transient-define-suffix khoj--delete-conversation-session-command (&optional _)
     "Command to select Khoj conversation sessions to delete."
@@ -1298,14 +1334,15 @@ Paragraph only starts at first text after blank line."
     (khoj--delete-conversation-session))
 
   (transient-define-prefix khoj--chat-menu ()
-    "Open the Khoj chat menu."
-    ["Act"
+    "Create the Khoj Chat Menu and Execute Commands."
+    [["Configure"
+      ("a" "Select Agent" khoj--agent-switch)]]
+    [["Act"
       ("c" "Chat" khoj--chat-command)
       ("o" "Open Conversation" khoj--open-conversation-session-command)
       ("n" "New Conversation" khoj--new-conversation-session-command)
       ("d" "Delete Conversation" khoj--delete-conversation-session-command)
-     ("q" "Quit" transient-quit-one)
-     ])
+      ("q" "Quit" transient-quit-one)]])
 
   (transient-define-prefix khoj--menu ()
     "Create Khoj Menu to Configure and Execute Commands."

src/interface/obsidian/manifest.json

@@ -1,7 +1,7 @@
 {
 	"id": "khoj",
 	"name": "Khoj",
-	"version": "1.25.0",
+	"version": "1.26.4",
 	"minAppVersion": "0.15.0",
 	"description": "Your Second Brain",
 	"author": "Khoj Inc.",

src/interface/obsidian/package.json

@@ -1,6 +1,6 @@
 {
     "name": "Khoj",
-    "version": "1.25.0",
+    "version": "1.26.4",
     "description": "Your Second Brain",
     "author": "Debanjum Singh Solanky, Saba Imran <team@khoj.dev>",
     "license": "GPL-3.0-or-later",

src/interface/obsidian/src/chat_view.ts

@@ -484,12 +484,13 @@ export class KhojChatView extends KhojPaneView {
         dt?: Date,
         intentType?: string,
         inferredQueries?: string[],
+        conversationId?: string,
     ) {
         if (!message) return;
 
         let chatMessageEl;
-        if (intentType?.includes("text-to-image")) {
-            let imageMarkdown = this.generateImageMarkdown(message, intentType, inferredQueries);
+        if (intentType?.includes("text-to-image") || intentType === "excalidraw") {
+            let imageMarkdown = this.generateImageMarkdown(message, intentType, inferredQueries, conversationId);
             chatMessageEl = this.renderMessage(chatEl, imageMarkdown, sender, dt);
         } else {
             chatMessageEl = this.renderMessage(chatEl, message, sender, dt);
@@ -509,7 +510,7 @@ export class KhojChatView extends KhojPaneView {
         chatMessageBodyEl.appendChild(this.createReferenceSection(references));
     }
 
-    generateImageMarkdown(message: string, intentType: string, inferredQueries?: string[]) {
+    generateImageMarkdown(message: string, intentType: string, inferredQueries?: string[], conversationId?: string): string {
         let imageMarkdown = "";
         if (intentType === "text-to-image") {
             imageMarkdown = `![](data:image/png;base64,${message})`;
@@ -517,6 +518,10 @@ export class KhojChatView extends KhojPaneView {
             imageMarkdown = `![](${message})`;
         } else if (intentType === "text-to-image-v3") {
             imageMarkdown = `![](data:image/webp;base64,${message})`;
+        } else if (intentType === "excalidraw") {
+            const domain = this.setting.khojUrl.endsWith("/") ? this.setting.khojUrl : `${this.setting.khojUrl}/`;
+            const redirectMessage = `Hey, I'm not ready to show you diagrams yet here. But you can view it in ${domain}chat?conversationId=${conversationId}`;
+            imageMarkdown = redirectMessage;
         }
         if (inferredQueries) {
             imageMarkdown += "\n\n**Inferred Query**:";
@@ -884,6 +889,7 @@ export class KhojChatView extends KhojPaneView {
                         new Date(chatLog.created),
                         chatLog.intent?.type,
                         chatLog.intent?.["inferred-queries"],
+                        chatBodyEl.dataset.conversationId ?? "",
                     );
                     // push the user messages to the chat history
                     if(chatLog.by === "you"){
@@ -1354,6 +1360,10 @@ export class KhojChatView extends KhojPaneView {
                 rawResponse += `![generated_image](${imageJson.image})`;
             } else if (imageJson.intentType === "text-to-image-v3") {
                 rawResponse = `![](data:image/webp;base64,${imageJson.image})`;
+            } else if (imageJson.intentType === "excalidraw") {
+                const domain = this.setting.khojUrl.endsWith("/") ? this.setting.khojUrl : `${this.setting.khojUrl}/`;
+                const redirectMessage = `Hey, I'm not ready to show you diagrams yet here. But you can view it in ${domain}`;
+                rawResponse += redirectMessage;
             }
             if (inferredQuery) {
                 rawResponse += `\n\n**Inferred Query**:\n\n${inferredQuery}`;

src/interface/obsidian/src/utils.ts

@@ -37,6 +37,8 @@ function filenameToMimeType (filename: TFile): string {
         case 'jpg':
         case 'jpeg':
             return 'image/jpeg';
+        case 'webp':
+            return 'image/webp';
         case 'md':
         case 'markdown':
             return 'text/markdown';
@@ -50,7 +52,7 @@ function filenameToMimeType (filename: TFile): string {
 
 export const fileTypeToExtension = {
     'pdf': ['pdf'],
-    'image': ['png', 'jpg', 'jpeg'],
+    'image': ['png', 'jpg', 'jpeg', 'webp'],
     'markdown': ['md', 'markdown'],
 };
 export const supportedImageFilesTypes = fileTypeToExtension.image;

src/interface/obsidian/versions.json

@@ -77,5 +77,10 @@
 	"1.23.3": "0.15.0",
 	"1.24.0": "0.15.0",
 	"1.24.1": "0.15.0",
-	"1.25.0": "0.15.0"
+	"1.25.0": "0.15.0",
+	"1.26.0": "0.15.0",
+	"1.26.1": "0.15.0",
+	"1.26.2": "0.15.0",
+	"1.26.3": "0.15.0",
+	"1.26.4": "0.15.0"
 }

src/interface/web/app/chat/chat.module.css

@@ -79,7 +79,7 @@ div.titleBar {
 div.chatBoxBody {
     display: grid;
     height: 100%;
-    width: 70%;
+    width: 95%;
     margin: auto;
 }
 

src/interface/web/app/chat/layout.tsx

@@ -47,7 +47,14 @@ export default function RootLayout({
                        child-src 'none';
                        object-src 'none';"
             ></meta>
-            <body className={inter.className}>{children}</body>
+            <body className={inter.className}>
+                {children}
+                <script
+                    dangerouslySetInnerHTML={{
+                        __html: `window.EXCALIDRAW_ASSET_PATH = 'https://assets.khoj.dev/@excalidraw/excalidraw/dist/';`,
+                    }}
+                />
+            </body>
         </html>
     );
 }

src/interface/web/app/chat/page.tsx

@@ -1,7 +1,7 @@
 "use client";
 
 import styles from "./chat.module.css";
-import React, { Suspense, useEffect, useState } from "react";
+import React, { Suspense, useEffect, useRef, useState } from "react";
 
 import SidePanel, { ChatSessionActionMenu } from "../components/sidePanel/chatHistorySidePanel";
 import ChatHistory from "../components/chatHistory/chatHistory";
@@ -19,11 +19,9 @@ import {
     StreamMessage,
 } from "../components/chatMessage/chatMessage";
 import { useIPLocationData, useIsMobileWidth, welcomeConsole } from "../common/utils";
-import ChatInputArea, { ChatOptions } from "../components/chatInputArea/chatInputArea";
+import { ChatInputArea, ChatOptions } from "../components/chatInputArea/chatInputArea";
 import { useAuthenticatedData } from "../common/auth";
 import { AgentData } from "../agents/page";
-import { DotsThreeVertical } from "@phosphor-icons/react";
-import { Button } from "@/components/ui/button";
 
 interface ChatBodyDataProps {
     chatOptionsData: ChatOptions | null;
@@ -34,32 +32,38 @@ interface ChatBodyDataProps {
     setUploadedFiles: (files: string[]) => void;
     isMobileWidth?: boolean;
     isLoggedIn: boolean;
-    setImage64: (image64: string) => void;
+    setImages: (images: string[]) => void;
 }
 
 function ChatBodyData(props: ChatBodyDataProps) {
     const searchParams = useSearchParams();
     const conversationId = searchParams.get("conversationId");
     const [message, setMessage] = useState("");
-    const [image, setImage] = useState<string | null>(null);
+    const [images, setImages] = useState<string[]>([]);
     const [processingMessage, setProcessingMessage] = useState(false);
     const [agentMetadata, setAgentMetadata] = useState<AgentData | null>(null);
+    const chatInputRef = useRef<HTMLTextAreaElement>(null);
 
     const setQueryToProcess = props.setQueryToProcess;
     const onConversationIdChange = props.onConversationIdChange;
 
-    useEffect(() => {
-        if (image) {
-            props.setImage64(encodeURIComponent(image));
-        }
-    }, [image, props.setImage64]);
+    const chatHistoryCustomClassName = props.isMobileWidth ? "w-full" : "w-4/6";
 
     useEffect(() => {
-        const storedImage = localStorage.getItem("image");
-        if (storedImage) {
-            setImage(storedImage);
-            props.setImage64(encodeURIComponent(storedImage));
-            localStorage.removeItem("image");
+        if (images.length > 0) {
+            const encodedImages = images.map((image) => encodeURIComponent(image));
+            props.setImages(encodedImages);
+        }
+    }, [images, props.setImages]);
+
+    useEffect(() => {
+        const storedImages = localStorage.getItem("images");
+        if (storedImages) {
+            const parsedImages: string[] = JSON.parse(storedImages);
+            setImages(parsedImages);
+            const encodedImages = parsedImages.map((img: string) => encodeURIComponent(img));
+            props.setImages(encodedImages);
+            localStorage.removeItem("images");
         }
 
         const storedMessage = localStorage.getItem("message");
@@ -67,7 +71,7 @@ function ChatBodyData(props: ChatBodyDataProps) {
             setProcessingMessage(true);
             setQueryToProcess(storedMessage);
         }
-    }, [setQueryToProcess]);
+    }, [setQueryToProcess, props.setImages]);
 
     useEffect(() => {
         if (message) {
@@ -89,6 +93,7 @@ function ChatBodyData(props: ChatBodyDataProps) {
             props.streamedMessages[props.streamedMessages.length - 1].completed
         ) {
             setProcessingMessage(false);
+            setImages([]); // Reset images after processing
         } else {
             setMessage("");
         }
@@ -108,21 +113,23 @@ function ChatBodyData(props: ChatBodyDataProps) {
                     setAgent={setAgentMetadata}
                     pendingMessage={processingMessage ? message : ""}
                     incomingMessages={props.streamedMessages}
+                    customClassName={chatHistoryCustomClassName}
                 />
             </div>
             <div
-                className={`${styles.inputBox} p-1 md:px-2 shadow-md bg-background align-middle items-center justify-center dark:bg-neutral-700 dark:border-0 dark:shadow-sm rounded-t-2xl rounded-b-none md:rounded-xl h-fit`}
+                className={`${styles.inputBox} p-1 md:px-2 shadow-md bg-background align-middle items-center justify-center dark:bg-neutral-700 dark:border-0 dark:shadow-sm rounded-t-2xl rounded-b-none md:rounded-xl h-fit ${chatHistoryCustomClassName} mr-auto ml-auto`}
             >
                 <ChatInputArea
                     agentColor={agentMetadata?.color}
                     isLoggedIn={props.isLoggedIn}
                     sendMessage={(message) => setMessage(message)}
-                    sendImage={(image) => setImage(image)}
+                    sendImage={(image) => setImages((prevImages) => [...prevImages, image])}
                     sendDisabled={processingMessage}
                     chatOptionsData={props.chatOptionsData}
                     conversationId={conversationId}
                     isMobileWidth={props.isMobileWidth}
                     setUploadedFiles={props.setUploadedFiles}
+                    ref={chatInputRef}
                 />
             </div>
         </>
@@ -139,7 +146,7 @@ export default function Chat() {
     const [queryToProcess, setQueryToProcess] = useState<string>("");
     const [processQuerySignal, setProcessQuerySignal] = useState(false);
     const [uploadedFiles, setUploadedFiles] = useState<string[]>([]);
-    const [image64, setImage64] = useState<string>("");
+    const [images, setImages] = useState<string[]>([]);
 
     const locationData = useIPLocationData() || {
         timezone: Intl.DateTimeFormat().resolvedOptions().timeZone,
@@ -176,7 +183,7 @@ export default function Chat() {
                 completed: false,
                 timestamp: new Date().toISOString(),
                 rawQuery: queryToProcess || "",
-                uploadedImageData: decodeURIComponent(image64),
+                images: images,
             };
             setMessages((prevMessages) => [...prevMessages, newStreamMessage]);
             setProcessQuerySignal(true);
@@ -208,7 +215,7 @@ export default function Chat() {
             if (done) {
                 setQueryToProcess("");
                 setProcessQuerySignal(false);
-                setImage64("");
+                setImages([]);
                 break;
             }
 
@@ -257,7 +264,7 @@ export default function Chat() {
                 country_code: locationData.countryCode,
                 timezone: locationData.timezone,
             }),
-            ...(image64 && { image: image64 }),
+            ...(images.length > 0 && { images: images }),
         };
 
         const response = await fetch(chatAPI, {
@@ -271,7 +278,8 @@ export default function Chat() {
         try {
             await readChatStream(response);
         } catch (err) {
-            console.error(err);
+            const apiError = await response.json();
+            console.error(apiError);
             // Retrieve latest message being processed
             const currentMessage = messages.find((message) => !message.completed);
             if (!currentMessage) return;
@@ -280,7 +288,11 @@ export default function Chat() {
             const errorMessage = (err as Error).message;
             if (errorMessage.includes("Error in input stream"))
                 currentMessage.rawResponse = `Woops! The connection broke while I was writing my thoughts down. Maybe try again in a bit or dislike this message if the issue persists?`;
-            else
+            else if (response.status === 429) {
+                "detail" in apiError
+                    ? (currentMessage.rawResponse = `${apiError.detail}`)
+                    : (currentMessage.rawResponse = `I'm a bit overwhelmed at the moment. Could you try again in a bit or dislike this message if the issue persists?`);
+            } else
                 currentMessage.rawResponse = `Umm, not sure what just happened. I see this error message: ${errorMessage}. Could you try again or dislike this message if the issue persists?`;
 
             // Complete message streaming teardown properly
@@ -339,7 +351,7 @@ export default function Chat() {
                             setUploadedFiles={setUploadedFiles}
                             isMobileWidth={isMobileWidth}
                             onConversationIdChange={handleConversationIdChange}
-                            setImage64={setImage64}
+                            setImages={setImages}
                         />
                     </Suspense>
                 </div>

src/interface/web/app/common/auth.ts

@@ -68,7 +68,8 @@ export interface UserConfig {
     selected_voice_model_config: number;
     // user billing info
     subscription_state: SubscriptionStates;
-    subscription_renewal_date: string;
+    subscription_renewal_date: string | undefined;
+    subscription_enabled_trial_at: string | undefined;
     // server settings
     khoj_cloud_subscription_url: string | undefined;
     billing_enabled: boolean;
@@ -78,6 +79,7 @@ export interface UserConfig {
     anonymous_mode: boolean;
     notion_oauth_url: string;
     detail: string;
+    length_of_free_trial: number;
 }
 
 export function useUserConfig(detailed: boolean = false) {
@@ -93,3 +95,15 @@ export function useUserConfig(detailed: boolean = false) {
 
     return { userConfig, isLoadingUserConfig };
 }
+
+export function isUserSubscribed(userConfig: UserConfig | null): boolean {
+    return (
+        (userConfig?.subscription_state &&
+            [
+                SubscriptionStates.SUBSCRIBED.valueOf(),
+                SubscriptionStates.TRIAL.valueOf(),
+                SubscriptionStates.UNSUBSCRIBED.valueOf(),
+            ].includes(userConfig.subscription_state)) ||
+        false
+    );
+}

src/interface/web/app/common/chatFunctions.ts

@@ -11,11 +11,10 @@ export interface RawReferenceData {
     codeContext?: CodeContext;
 }
 
-export interface ResponseWithReferences {
-    context?: Context[];
-    online?: OnlineContext;
-    codeContext?: CodeContext;
-    response?: string;
+export interface ResponseWithIntent {
+    intentType: string;
+    response: string;
+    inferredQueries?: string[];
 }
 
 interface MessageChunk {
@@ -56,10 +55,14 @@ export function convertMessageChunkToJson(chunk: string): MessageChunk {
 function handleJsonResponse(chunkData: any) {
     const jsonData = chunkData as any;
     if (jsonData.image || jsonData.detail) {
-        let responseWithReference = handleImageResponse(chunkData, true);
-        if (responseWithReference.response) return responseWithReference.response;
+        let responseWithIntent = handleImageResponse(chunkData, true);
+        return responseWithIntent;
     } else if (jsonData.response) {
-        return jsonData.response;
+        return {
+            response: jsonData.response,
+            intentType: "",
+            inferredQueries: [],
+        };
     } else {
         throw new Error("Invalid JSON response");
     }
@@ -89,8 +92,18 @@ export function processMessageChunk(
         return { context, onlineContext, codeContext };
     } else if (chunk.type === "message") {
         const chunkData = chunk.data;
+        // Here, handle if the response is a JSON response with an image, but the intentType is excalidraw
         if (chunkData !== null && typeof chunkData === "object") {
-            currentMessage.rawResponse += handleJsonResponse(chunkData);
+            let responseWithIntent = handleJsonResponse(chunkData);
+
+            if (responseWithIntent.intentType && responseWithIntent.intentType === "excalidraw") {
+                currentMessage.rawResponse = responseWithIntent.response;
+            } else {
+                currentMessage.rawResponse += responseWithIntent.response;
+            }
+
+            currentMessage.intentType = responseWithIntent.intentType;
+            currentMessage.inferredQueries = responseWithIntent.inferredQueries;
         } else if (
             typeof chunkData === "string" &&
             chunkData.trim()?.startsWith("{") &&
@@ -98,7 +111,10 @@ export function processMessageChunk(
         ) {
             try {
                 const jsonData = JSON.parse(chunkData.trim());
-                currentMessage.rawResponse += handleJsonResponse(jsonData);
+                let responseWithIntent = handleJsonResponse(jsonData);
+                currentMessage.rawResponse += responseWithIntent.response;
+                currentMessage.intentType = responseWithIntent.intentType;
+                currentMessage.inferredQueries = responseWithIntent.inferredQueries;
             } catch (e) {
                 currentMessage.rawResponse += JSON.stringify(chunkData);
             }
@@ -148,42 +164,26 @@ export function processMessageChunk(
     return { context, onlineContext, codeContext };
 }
 
-export function handleImageResponse(imageJson: any, liveStream: boolean): ResponseWithReferences {
+export function handleImageResponse(imageJson: any, liveStream: boolean): ResponseWithIntent {
     let rawResponse = "";
 
     if (imageJson.image) {
-        const inferredQuery = imageJson.inferredQueries?.[0] ?? "generated image";
-
-        // If response has image field, response is a generated image.
-        if (imageJson.intentType === "text-to-image") {
-            rawResponse += `![generated_image](data:image/png;base64,${imageJson.image})`;
-        } else if (imageJson.intentType === "text-to-image2") {
-            rawResponse += `![generated_image](${imageJson.image})`;
-        } else if (imageJson.intentType === "text-to-image-v3") {
-            rawResponse = `![](data:image/webp;base64,${imageJson.image})`;
-        }
-        if (inferredQuery && !liveStream) {
-            rawResponse += `\n\n${inferredQuery}`;
-        }
+        // If response has image field, response may be a generated image
+        rawResponse = imageJson.image;
     }
 
-    let reference: ResponseWithReferences = {};
+    let responseWithIntent: ResponseWithIntent = {
+        intentType: imageJson.intentType,
+        response: rawResponse,
+        inferredQueries: imageJson.inferredQueries,
+    };
 
-    if (imageJson.context && imageJson.context.length > 0) {
-        const rawReferenceAsJson = imageJson.context;
-        if (rawReferenceAsJson instanceof Array) {
-            reference.context = rawReferenceAsJson;
-        } else if (typeof rawReferenceAsJson === "object" && rawReferenceAsJson !== null) {
-            reference.online = rawReferenceAsJson;
-        }
-    }
     if (imageJson.detail) {
         // The detail field contains the improved image prompt
         rawResponse += imageJson.detail;
     }
 
-    reference.response = rawResponse;
-    return reference;
+    return responseWithIntent;
 }
 
 export function renderCodeGenImageInline(message: string, codeContext: CodeContext) {
@@ -228,7 +228,11 @@ export function modifyFileFilterForConversation(
         },
         body: JSON.stringify(body),
     })
-        .then((response) => response.json())
+        .then((res) => {
+            if (!res.ok)
+                throw new Error(`Failed to call API at ${addUrl} with error ${res.statusText}`);
+            return res.json();
+        })
         .then((data) => {
             setAddedFiles(data);
         })

src/interface/web/app/common/iconUtils.tsx

@@ -48,6 +48,7 @@ import {
     Oven,
     Gavel,
     Broadcast,
+    KeyReturn,
 } from "@phosphor-icons/react";
 import { Markdown, OrgMode, Pdf, Word } from "@/app/components/logo/fileLogo";
 
@@ -193,6 +194,10 @@ export function getIconForSlashCommand(command: string, customClassName: string
     }
 
     if (command.includes("default")) {
+        return <KeyReturn className={className} />;
+    }
+
+    if (command.includes("diagram")) {
         return <Shapes className={className} />;
     }
 
@@ -241,6 +246,7 @@ function getIconFromFilename(
         case "jpg":
         case "jpeg":
         case "png":
+        case "webp":
             return <Image className={className} weight="fill" />;
         default:
             return <File className={className} weight="fill" />;

src/interface/web/app/common/utils.ts

@@ -70,3 +70,19 @@ export function useIsMobileWidth() {
 
     return isMobileWidth;
 }
+
+export function useDebounce<T>(value: T, delay: number): T {
+    const [debouncedValue, setDebouncedValue] = useState<T>(value);
+
+    useEffect(() => {
+        const handler = setTimeout(() => {
+            setDebouncedValue(value);
+        }, delay);
+
+        return () => {
+            clearTimeout(handler);
+        };
+    }, [value, delay]);
+
+    return debouncedValue;
+}

src/interface/web/app/components/agentCard/agentCard.module.css

@@ -0,0 +1,20 @@
+.agentPersonality p {
+    white-space: inherit;
+    overflow: hidden;
+    height: 77px;
+    line-height: 1.5;
+}
+
+div.agentPersonality {
+    text-align: left;
+    grid-column: span 3;
+    overflow: hidden;
+}
+
+button.infoButton {
+    border: none;
+    background-color: transparent !important;
+    text-align: left;
+    font-family: inherit;
+    font-size: medium;
+}

src/interface/web/app/components/chatHistory/chatHistory.module.css

@@ -2,12 +2,7 @@ div.chatHistory {
     display: flex;
     flex-direction: column;
     height: 100%;
-}
-
-div.chatLayout {
-    height: 80vh;
-    overflow-y: auto;
-    margin: 0 auto;
+    margin: auto;
 }
 
 div.agentIndicator a {

src/interface/web/app/components/chatHistory/chatHistory.tsx

@@ -37,6 +37,7 @@ interface ChatHistoryProps {
     pendingMessage?: string;
     publicConversationSlug?: string;
     setAgent: (agent: AgentData) => void;
+    customClassName?: string;
 }
 
 function constructTrainOfThought(
@@ -255,7 +256,7 @@ export default function ChatHistory(props: ChatHistoryProps) {
     return (
         <ScrollArea className={`h-[80vh] relative`} ref={scrollAreaRef}>
             <div>
-                <div className={styles.chatHistory}>
+                <div className={`${styles.chatHistory} ${props.customClassName}`}>
                     <div ref={sentinelRef} style={{ height: "1px" }}>
                         {fetchingData && (
                             <InlineLoading message="Loading Conversation" className="opacity-50" />
@@ -299,7 +300,7 @@ export default function ChatHistory(props: ChatHistoryProps) {
                                             created: message.timestamp,
                                             by: "you",
                                             automationId: "",
-                                            uploadedImageData: message.uploadedImageData,
+                                            images: message.images,
                                         }}
                                         customClassName="fullHistory"
                                         borderLeftColor={`${data?.agent?.color}-500`}
@@ -324,6 +325,12 @@ export default function ChatHistory(props: ChatHistoryProps) {
                                             by: "khoj",
                                             automationId: "",
                                             rawQuery: message.rawQuery,
+                                            intent: {
+                                                type: message.intentType || "",
+                                                query: message.rawQuery,
+                                                "memory-type": "",
+                                                "inferred-queries": message.inferredQueries || [],
+                                            },
                                         }}
                                         customClassName="fullHistory"
                                         borderLeftColor={`${data?.agent?.color}-500`}
@@ -344,7 +351,6 @@ export default function ChatHistory(props: ChatHistoryProps) {
                                 created: new Date().getTime().toString(),
                                 by: "you",
                                 automationId: "",
-                                uploadedImageData: props.pendingMessage,
                             }}
                             customClassName="fullHistory"
                             borderLeftColor={`${data?.agent?.color}-500`}
@@ -369,10 +375,11 @@ export default function ChatHistory(props: ChatHistoryProps) {
                         </div>
                     )}
                 </div>
+                <div className={`${props.customClassName} fixed bottom-[15%] z-10`}>
                     {!isNearBottom && (
                         <button
                             title="Scroll to bottom"
-                        className="absolute bottom-4 right-5 bg-white dark:bg-[hsl(var(--background))] text-neutral-500 dark:text-white p-2 rounded-full shadow-xl"
+                            className="absolute bottom-0 right-0 bg-white dark:bg-[hsl(var(--background))] text-neutral-500 dark:text-white p-2 rounded-full shadow-xl"
                             onClick={() => {
                                 scrollToBottom();
                                 setIsNearBottom(true);
@@ -382,6 +389,7 @@ export default function ChatHistory(props: ChatHistoryProps) {
                         </button>
                     )}
                 </div>
+            </div>
         </ScrollArea>
     );
 }

src/interface/web/app/components/chatInputArea/chatInputArea.tsx

@@ -1,25 +1,9 @@
 import styles from "./chatInputArea.module.css";
-import React, { useEffect, useRef, useState } from "react";
+import React, { useEffect, useRef, useState, forwardRef } from "react";
 
 import DOMPurify from "dompurify";
 import "katex/dist/katex.min.css";
-import {
-    ArrowRight,
-    ArrowUp,
-    Browser,
-    ChatsTeardrop,
-    GlobeSimple,
-    Gps,
-    Image,
-    Microphone,
-    Notebook,
-    Paperclip,
-    X,
-    Question,
-    Robot,
-    Shapes,
-    Stop,
-} from "@phosphor-icons/react";
+import { ArrowUp, Microphone, Paperclip, X, Stop } from "@phosphor-icons/react";
 
 import {
     Command,
@@ -68,7 +52,7 @@ interface ChatInputProps {
     agentColor?: string;
 }
 
-export default function ChatInputArea(props: ChatInputProps) {
+export const ChatInputArea = forwardRef<HTMLTextAreaElement, ChatInputProps>((props, ref) => {
     const [message, setMessage] = useState("");
     const fileInputRef = useRef<HTMLInputElement>(null);
 
@@ -78,15 +62,17 @@ export default function ChatInputArea(props: ChatInputProps) {
     const [loginRedirectMessage, setLoginRedirectMessage] = useState<string | null>(null);
     const [showLoginPrompt, setShowLoginPrompt] = useState(false);
 
-    const [recording, setRecording] = useState(false);
     const [imageUploaded, setImageUploaded] = useState(false);
-    const [imagePath, setImagePath] = useState<string>("");
-    const [imageData, setImageData] = useState<string | null>(null);
+    const [imagePaths, setImagePaths] = useState<string[]>([]);
+    const [imageData, setImageData] = useState<string[]>([]);
+
+    const [recording, setRecording] = useState(false);
     const [mediaRecorder, setMediaRecorder] = useState<MediaRecorder | null>(null);
 
     const [progressValue, setProgressValue] = useState(0);
     const [isDragAndDropping, setIsDragAndDropping] = useState(false);
 
+    const chatInputRef = ref as React.MutableRefObject<HTMLTextAreaElement>;
     useEffect(() => {
         if (!uploading) {
             setProgressValue(0);
@@ -106,27 +92,31 @@ export default function ChatInputArea(props: ChatInputProps) {
 
     useEffect(() => {
         async function fetchImageData() {
-            if (imagePath) {
-                const response = await fetch(imagePath);
+            if (imagePaths.length > 0) {
+                const newImageData = await Promise.all(
+                    imagePaths.map(async (path) => {
+                        const response = await fetch(path);
                         const blob = await response.blob();
+                        return new Promise<string>((resolve) => {
                             const reader = new FileReader();
-                reader.onload = function () {
-                    const base64data = reader.result;
-                    setImageData(base64data as string);
-                };
+                            reader.onload = () => resolve(reader.result as string);
                             reader.readAsDataURL(blob);
+                        });
+                    }),
+                );
+                setImageData(newImageData);
             }
             setUploading(false);
         }
         setUploading(true);
         fetchImageData();
-    }, [imagePath]);
+    }, [imagePaths]);
 
     function onSendMessage() {
         if (imageUploaded) {
             setImageUploaded(false);
-            setImagePath("");
-            props.sendImage(imageData || "");
+            setImagePaths([]);
+            imageData.forEach((data) => props.sendImage(data));
         }
         if (!message.trim()) return;
 
@@ -168,22 +158,29 @@ export default function ChatInputArea(props: ChatInputProps) {
 
     function uploadFiles(files: FileList) {
         if (!props.isLoggedIn) {
-            setLoginRedirectMessage("Whoa! You need to login to upload files");
+            setLoginRedirectMessage("Please login to chat with your files");
             setShowLoginPrompt(true);
             return;
         }
-        // check for image file
-        const image_endings = ["jpg", "jpeg", "png"];
+        // check for image files
+        const image_endings = ["jpg", "jpeg", "png", "webp"];
+        const newImagePaths: string[] = [];
         for (let i = 0; i < files.length; i++) {
             const file = files[i];
             const file_extension = file.name.split(".").pop();
             if (image_endings.includes(file_extension || "")) {
-                setImageUploaded(true);
-                setImagePath(DOMPurify.sanitize(URL.createObjectURL(file)));
-                return;
+                newImagePaths.push(DOMPurify.sanitize(URL.createObjectURL(file)));
             }
         }
 
+        if (newImagePaths.length > 0) {
+            setImageUploaded(true);
+            setImagePaths((prevPaths) => [...prevPaths, ...newImagePaths]);
+            // Set focus to the input for user message after uploading files
+            chatInputRef?.current?.focus();
+            return;
+        }
+
         uploadDataForIndexing(
             files,
             setWarning,
@@ -192,6 +189,9 @@ export default function ChatInputArea(props: ChatInputProps) {
             props.setUploadedFiles,
             props.conversationId,
         );
+
+        // Set focus to the input for user message after uploading files
+        chatInputRef?.current?.focus();
     }
 
     // Assuming this function is added within the same context as the provided excerpt
@@ -270,9 +270,8 @@ export default function ChatInputArea(props: ChatInputProps) {
         }
     }, [recording, mediaRecorder]);
 
-    const chatInputRef = useRef<HTMLTextAreaElement>(null);
     useEffect(() => {
-        if (!chatInputRef.current) return;
+        if (!chatInputRef?.current) return;
         chatInputRef.current.style.height = "auto";
         chatInputRef.current.style.height =
             Math.max(chatInputRef.current.scrollHeight - 24, 64) + "px";
@@ -288,9 +287,12 @@ export default function ChatInputArea(props: ChatInputProps) {
         setIsDragAndDropping(false);
     }
 
-    function removeImageUpload() {
+    function removeImageUpload(index: number) {
+        setImagePaths((prevPaths) => prevPaths.filter((_, i) => i !== index));
+        setImageData((prevData) => prevData.filter((_, i) => i !== index));
+        if (imagePaths.length === 1) {
             setImageUploaded(false);
-        setImagePath("");
+        }
     }
 
     return (
@@ -407,24 +409,11 @@ export default function ChatInputArea(props: ChatInputProps) {
                 </div>
             )}
             <div
-                className={`${styles.actualInputArea} items-center justify-between dark:bg-neutral-700 relative ${isDragAndDropping && "animate-pulse"}`}
+                className={`${styles.actualInputArea} justify-between dark:bg-neutral-700 relative ${isDragAndDropping && "animate-pulse"}`}
                 onDragOver={handleDragOver}
                 onDragLeave={handleDragLeave}
                 onDrop={handleDragAndDropFiles}
             >
-                {imageUploaded && (
-                    <div className="absolute bottom-[80px] left-0 right-0 dark:bg-neutral-700 bg-white pt-5 pb-5 w-full rounded-lg border dark:border-none grid grid-cols-2">
-                        <div className="pl-4 pr-4">
-                            <img src={imagePath} alt="img" className="w-auto max-h-[100px]" />
-                        </div>
-                        <div className="pl-4 pr-4">
-                            <X
-                                className="w-6 h-6 float-right dark:hover:bg-[hsl(var(--background))] hover:bg-neutral-100 rounded-sm"
-                                onClick={removeImageUpload}
-                            />
-                        </div>
-                    </div>
-                )}
                 <input
                     type="file"
                     multiple={true}
@@ -432,6 +421,7 @@ export default function ChatInputArea(props: ChatInputProps) {
                     onChange={handleFileChange}
                     style={{ display: "none" }}
                 />
+                <div className="flex items-end pb-4">
                     <Button
                         variant={"ghost"}
                         className="!bg-none p-0 m-2 h-auto text-3xl rounded-full text-gray-300 hover:text-gray-500"
@@ -440,7 +430,28 @@ export default function ChatInputArea(props: ChatInputProps) {
                     >
                         <Paperclip className="w-8 h-8" />
                     </Button>
-                <div className="grid w-full gap-1.5 relative">
+                </div>
+                <div className="flex-grow flex flex-col w-full gap-1.5 relative pb-2">
+                    <div className="flex items-center gap-2 overflow-x-auto">
+                        {imageUploaded &&
+                            imagePaths.map((path, index) => (
+                                <div key={index} className="relative flex-shrink-0 pb-3 pt-2 group">
+                                    <img
+                                        src={path}
+                                        alt={`img-${index}`}
+                                        className="w-auto h-16 object-cover rounded-xl"
+                                    />
+                                    <Button
+                                        variant="ghost"
+                                        size="icon"
+                                        className="absolute -top-0 -right-2 h-5 w-5 rounded-full bg-neutral-200 dark:bg-neutral-600 hover:bg-neutral-300 dark:hover:bg-neutral-500 opacity-0 group-hover:opacity-100 transition-opacity"
+                                        onClick={() => removeImageUpload(index)}
+                                    >
+                                        <X className="h-3 w-3" />
+                                    </Button>
+                                </div>
+                            ))}
+                    </div>
                     <Textarea
                         ref={chatInputRef}
                         className={`border-none w-full h-16 min-h-16 max-h-[128px] md:py-4 rounded-lg resize-none dark:bg-neutral-700 ${props.isMobileWidth ? "text-md" : "text-lg"}`}
@@ -449,9 +460,9 @@ export default function ChatInputArea(props: ChatInputProps) {
                         autoFocus={true}
                         value={message}
                         onKeyDown={(e) => {
-                            if (e.key === "Enter" && !e.shiftKey) {
+                            if (e.key === "Enter" && !e.shiftKey && !props.isMobileWidth) {
                                 setImageUploaded(false);
-                                setImagePath("");
+                                setImagePaths([]);
                                 e.preventDefault();
                                 onSendMessage();
                             }
@@ -460,6 +471,7 @@ export default function ChatInputArea(props: ChatInputProps) {
                         disabled={props.sendDisabled || recording}
                     />
                 </div>
+                <div className="flex items-end pb-4">
                     {recording ? (
                         <TooltipProvider>
                             <Tooltip>
@@ -512,6 +524,9 @@ export default function ChatInputArea(props: ChatInputProps) {
                         <ArrowUp className="w-6 h-6" weight="bold" />
                     </Button>
                 </div>
+            </div>
         </>
     );
-}
+});
+
+ChatInputArea.displayName = "ChatInputArea";

src/interface/web/app/components/chatMessage/chatMessage.module.css

@@ -57,7 +57,26 @@ div.emptyChatMessage {
     display: none;
 }
 
-div.chatMessageContainer img {
+div.imagesContainer {
+    display: flex;
+    overflow-x: auto;
+    padding-bottom: 8px;
+    margin-bottom: 8px;
+}
+
+div.imageWrapper {
+    flex: 0 0 auto;
+    margin-right: 8px;
+}
+
+div.imageWrapper img {
+    width: auto;
+    height: 128px;
+    object-fit: cover;
+    border-radius: 8px;
+}
+
+div.chatMessageContainer > img {
     width: auto;
     height: auto;
     max-width: 100%;

src/interface/web/app/components/chatMessage/chatMessage.tsx

@@ -28,6 +28,7 @@ import {
     ClipboardText,
     Check,
     Code,
+    Shapes,
 } from "@phosphor-icons/react";
 
 import DOMPurify from "dompurify";
@@ -37,6 +38,7 @@ import { AgentData } from "@/app/agents/page";
 
 import renderMathInElement from "katex/contrib/auto-render";
 import "katex/dist/katex.min.css";
+import ExcalidrawComponent from "../excalidraw/excalidraw";
 
 const md = new markdownIt({
     html: true,
@@ -137,7 +139,7 @@ export interface SingleChatMessage {
     rawQuery?: string;
     intent?: Intent;
     agent?: AgentData;
-    uploadedImageData?: string;
+    images?: string[];
 }
 
 export interface StreamMessage {
@@ -150,7 +152,9 @@ export interface StreamMessage {
     rawQuery: string;
     timestamp: string;
     agent?: AgentData;
-    uploadedImageData?: string;
+    images?: string[];
+    intentType?: string;
+    inferredQueries?: string[];
 }
 
 export interface ChatHistoryData {
@@ -232,7 +236,6 @@ interface ChatMessageProps {
     borderLeftColor?: string;
     isLastMessage?: boolean;
     agent?: AgentData;
-    uploadedImageData?: string;
 }
 
 interface TrainOfThoughtProps {
@@ -276,6 +279,10 @@ function chooseIconFromHeader(header: string, iconColor: string) {
         return <Aperture className={`${classNames}`} />;
     }
 
+    if (compareHeader.includes("diagram")) {
+        return <Shapes className={`${classNames}`} />;
+    }
+
     if (compareHeader.includes("paint")) {
         return <Palette className={`${classNames}`} />;
     }
@@ -311,6 +318,7 @@ const ChatMessage = forwardRef<HTMLDivElement, ChatMessageProps>((props, ref) =>
     const [markdownRendered, setMarkdownRendered] = useState<string>("");
     const [isPlaying, setIsPlaying] = useState<boolean>(false);
     const [interrupted, setInterrupted] = useState<boolean>(false);
+    const [excalidrawData, setExcalidrawData] = useState<string>("");
 
     const interruptedRef = useRef<boolean>(false);
     const messageRef = useRef<HTMLDivElement>(null);
@@ -347,8 +355,14 @@ const ChatMessage = forwardRef<HTMLDivElement, ChatMessageProps>((props, ref) =>
     }, [messageRef.current]);
 
     useEffect(() => {
+        // Prepare initial message for rendering
         let message = props.chatMessage.message;
 
+        if (props.chatMessage.intent && props.chatMessage.intent.type == "excalidraw") {
+            message = props.chatMessage.intent["inferred-queries"][0];
+            setExcalidrawData(props.chatMessage.message);
+        }
+
         // Replace LaTeX delimiters with placeholders
         message = message
             .replace(/\\\(/g, "LEFTPAREN")
@@ -356,8 +370,50 @@ const ChatMessage = forwardRef<HTMLDivElement, ChatMessageProps>((props, ref) =>
             .replace(/\\\[/g, "LEFTBRACKET")
             .replace(/\\\]/g, "RIGHTBRACKET");
 
-        if (props.chatMessage.uploadedImageData) {
-            message = `![uploaded image](${props.chatMessage.uploadedImageData})\n\n${message}`;
+        const intentTypeHandlers = {
+            "text-to-image": (msg: string) => `![generated image](data:image/png;base64,${msg})`,
+            "text-to-image2": (msg: string) => `![generated image](${msg})`,
+            "text-to-image-v3": (msg: string) =>
+                `![generated image](data:image/webp;base64,${msg})`,
+            excalidraw: (msg: string) => msg,
+        };
+
+        // Handle intent-specific rendering
+        if (props.chatMessage.intent) {
+            const { type, "inferred-queries": inferredQueries } = props.chatMessage.intent;
+
+            console.log("intent type", type);
+            if (type in intentTypeHandlers) {
+                message = intentTypeHandlers[type as keyof typeof intentTypeHandlers](message);
+            }
+
+            if (type.includes("text-to-image") && inferredQueries?.length > 0) {
+                message += `\n\n${inferredQueries[0]}`;
+            }
+        }
+        // Handle user attached images rendering
+        let messageForClipboard = message;
+        let messageToRender = message;
+        if (props.chatMessage.images && props.chatMessage.images.length > 0) {
+            const sanitizedImages = props.chatMessage.images.map((image) => {
+                const decodedImage = image.startsWith("data%3Aimage")
+                    ? decodeURIComponent(image)
+                    : image;
+                return DOMPurify.sanitize(decodedImage);
+            });
+            const imagesInMd = sanitizedImages
+                .map((sanitizedImage, index) => {
+                    return `![uploaded image ${index + 1}](${sanitizedImage})`;
+                })
+                .join("\n");
+            const imagesInHtml = sanitizedImages
+                .map((sanitizedImage, index) => {
+                    return `<div class="${styles.imageWrapper}"><img src="${sanitizedImage}" alt="uploaded image ${index + 1}" /></div>`;
+                })
+                .join("");
+            const userImagesInHtml = `<div class="${styles.imagesContainer}">${imagesInHtml}</div>`;
+            messageForClipboard = `${imagesInMd}\n\n${messageForClipboard}`;
+            messageToRender = `${userImagesInHtml}${messageToRender}`;
         }
 
         if (props.chatMessage.intent && props.chatMessage.intent.type == "text-to-image") {
@@ -402,10 +458,11 @@ const ChatMessage = forwardRef<HTMLDivElement, ChatMessageProps>((props, ref) =>
             });
         }
 
-        setTextRendered(message);
+        // Set the message text
+        setTextRendered(messageForClipboard);
 
         // Render the markdown
-        let markdownRendered = md.render(message);
+        let markdownRendered = md.render(messageToRender);
 
         // Replace placeholders with LaTeX delimiters
         markdownRendered = markdownRendered
@@ -416,7 +473,7 @@ const ChatMessage = forwardRef<HTMLDivElement, ChatMessageProps>((props, ref) =>
 
         // Sanitize and set the rendered markdown
         setMarkdownRendered(DOMPurify.sanitize(markdownRendered));
-    }, [props.chatMessage.message, props.chatMessage.intent]);
+    }, [props.chatMessage.message, props.chatMessage.images, props.chatMessage.intent]);
 
     useEffect(() => {
         if (copySuccess) {
@@ -607,6 +664,7 @@ const ChatMessage = forwardRef<HTMLDivElement, ChatMessageProps>((props, ref) =>
                     className={styles.chatMessage}
                     dangerouslySetInnerHTML={{ __html: markdownRendered }}
                 />
+                {excalidrawData && <ExcalidrawComponent data={excalidrawData} />}
             </div>
             <div className={styles.teaserReferencesContainer}>
                 <TeaserReferencesSection

src/interface/web/app/components/excalidraw/excalidraw.tsx

@@ -0,0 +1,24 @@
+"use client";
+
+import dynamic from "next/dynamic";
+import { Suspense } from "react";
+import Loading from "../../components/loading/loading";
+
+// Since client components get prerenderd on server as well hence importing
+// the excalidraw stuff dynamically with ssr false
+
+const ExcalidrawWrapper = dynamic(() => import("./excalidrawWrapper").then((mod) => mod.default), {
+    ssr: false,
+});
+
+interface ExcalidrawComponentProps {
+    data: any;
+}
+
+export default function ExcalidrawComponent(props: ExcalidrawComponentProps) {
+    return (
+        <Suspense fallback={<Loading />}>
+            <ExcalidrawWrapper data={props.data} />
+        </Suspense>
+    );
+}

src/interface/web/app/components/excalidraw/excalidrawWrapper.tsx

@@ -0,0 +1,149 @@
+"use client";
+
+import { useState, useEffect } from "react";
+
+import dynamic from "next/dynamic";
+
+import { ExcalidrawProps } from "@excalidraw/excalidraw/types/types";
+import { ExcalidrawElement } from "@excalidraw/excalidraw/types/element/types";
+import { ExcalidrawElementSkeleton } from "@excalidraw/excalidraw/types/data/transform";
+
+const Excalidraw = dynamic<ExcalidrawProps>(
+    async () => (await import("@excalidraw/excalidraw")).Excalidraw,
+    {
+        ssr: false,
+    },
+);
+
+import { convertToExcalidrawElements } from "@excalidraw/excalidraw";
+
+import { Button } from "@/components/ui/button";
+
+import { ArrowsInSimple, ArrowsOutSimple } from "@phosphor-icons/react";
+
+interface ExcalidrawWrapperProps {
+    data: ExcalidrawElementSkeleton[];
+}
+
+export default function ExcalidrawWrapper(props: ExcalidrawWrapperProps) {
+    const [excalidrawElements, setExcalidrawElements] = useState<ExcalidrawElement[]>([]);
+    const [expanded, setExpanded] = useState<boolean>(false);
+
+    const isValidExcalidrawElement = (element: ExcalidrawElementSkeleton): boolean => {
+        return (
+            element.x !== undefined &&
+            element.y !== undefined &&
+            element.id !== undefined &&
+            element.type !== undefined
+        );
+    };
+
+    useEffect(() => {
+        if (expanded) {
+            onkeydown = (e) => {
+                if (e.key === "Escape") {
+                    setExpanded(false);
+                    // Trigger a resize event to make Excalidraw adjust its size
+                    window.dispatchEvent(new Event("resize"));
+                }
+            };
+        } else {
+            onkeydown = null;
+        }
+    }, [expanded]);
+
+    useEffect(() => {
+        // Do some basic validation
+        const basicValidSkeletons: ExcalidrawElementSkeleton[] = [];
+
+        for (const element of props.data) {
+            if (isValidExcalidrawElement(element as ExcalidrawElementSkeleton)) {
+                basicValidSkeletons.push(element as ExcalidrawElementSkeleton);
+            }
+        }
+
+        const validSkeletons: ExcalidrawElementSkeleton[] = [];
+        for (const element of basicValidSkeletons) {
+            if (element.type === "frame") {
+                continue;
+            }
+            if (element.type === "arrow") {
+                const start = basicValidSkeletons.find((child) => child.id === element.start?.id);
+                const end = basicValidSkeletons.find((child) => child.id === element.end?.id);
+                if (start && end) {
+                    validSkeletons.push(element);
+                }
+            } else {
+                validSkeletons.push(element);
+            }
+        }
+
+        for (const element of basicValidSkeletons) {
+            if (element.type === "frame") {
+                const children = element.children?.map((childId) => {
+                    return validSkeletons.find((child) => child.id === childId);
+                });
+                // Get the valid children, filter out any undefined values
+                const validChildrenIds: readonly string[] = children
+                    ?.map((child) => child?.id)
+                    .filter((id) => id !== undefined) as string[];
+
+                if (validChildrenIds === undefined || validChildrenIds.length === 0) {
+                    continue;
+                }
+
+                validSkeletons.push({
+                    ...element,
+                    children: validChildrenIds,
+                });
+            }
+        }
+
+        const elements = convertToExcalidrawElements(validSkeletons);
+        setExcalidrawElements(elements);
+    }, []);
+
+    return (
+        <div className="relative">
+            <div
+                className={`${expanded ? "fixed inset-0 bg-black bg-opacity-50 backdrop-blur-sm z-50 flex items-center justify-center" : ""}`}
+            >
+                <Button
+                    onClick={() => {
+                        setExpanded(!expanded);
+                        // Trigger a resize event to make Excalidraw adjust its size
+                        window.dispatchEvent(new Event("resize"));
+                    }}
+                    variant={"outline"}
+                    className={`${expanded ? "absolute top-2 left-2 z-[60]" : ""}`}
+                >
+                    {expanded ? (
+                        <ArrowsInSimple className="h-4 w-4" />
+                    ) : (
+                        <ArrowsOutSimple className="h-4 w-4" />
+                    )}
+                </Button>
+                <div
+                    className={`
+                    ${expanded ? "w-[80vw] h-[80vh]" : "w-full h-[500px]"}
+                    bg-white overflow-hidden rounded-lg relative
+                `}
+                >
+                    <Excalidraw
+                        initialData={{
+                            elements: excalidrawElements,
+                            appState: { zenModeEnabled: true },
+                            scrollToContent: true,
+                        }}
+                        // TODO - Create a common function to detect if the theme is dark?
+                        theme={localStorage.getItem("theme") === "dark" ? "dark" : "light"}
+                        validateEmbeddable={true}
+                        renderTopRightUI={(isMobile, appState) => {
+                            return <></>;
+                        }}
+                    />
+                </div>
+            </div>
+        </div>
+    );
+}

src/interface/web/app/components/sidePanel/chatHistorySidePanel.tsx

@@ -98,7 +98,11 @@ import { KhojLogoType } from "@/app/components/logo/khojLogo";
 import NavMenu from "@/app/components/navMenu/navMenu";
 
 // Define a fetcher function
-const fetcher = (url: string) => fetch(url).then((res) => res.json());
+const fetcher = (url: string) =>
+    fetch(url).then((res) => {
+        if (!res.ok) throw new Error(`Failed to call API at ${url} with error ${res.statusText}`);
+        return res.json();
+    });
 
 interface GroupedChatHistory {
     [key: string]: ChatHistory[];
@@ -181,20 +185,15 @@ function FilesMenu(props: FilesMenuProps) {
     useEffect(() => {
         if (!files) return;
 
-        const uniqueFiles = Array.from(new Set(files));
+        let sortedUniqueFiles = Array.from(new Set(files)).sort();
 
-        // First, sort lexically
-        uniqueFiles.sort();
-
-        let sortedFiles = uniqueFiles;
-
-        if (addedFiles) {
-            sortedFiles = addedFiles.concat(
-                sortedFiles.filter((filename: string) => !addedFiles.includes(filename)),
+        if (Array.isArray(addedFiles)) {
+            sortedUniqueFiles = addedFiles.concat(
+                sortedUniqueFiles.filter((filename: string) => !addedFiles.includes(filename)),
             );
         }
 
-        setUnfilteredFiles(sortedFiles);
+        setUnfilteredFiles(sortedUniqueFiles);
     }, [files, addedFiles]);
 
     useEffect(() => {
@@ -204,8 +203,10 @@ function FilesMenu(props: FilesMenuProps) {
     }, [props.uploadedFiles]);
 
     useEffect(() => {
-        if (selectedFiles) {
+        if (Array.isArray(selectedFiles)) {
             setAddedFiles(selectedFiles);
+        } else {
+            setAddedFiles([]);
         }
     }, [selectedFiles]);
 
@@ -269,7 +270,7 @@ function FilesMenu(props: FilesMenuProps) {
                             </CommandItem>
                         )}
                         {unfilteredFiles.map((filename: string) =>
-                            addedFiles && addedFiles.includes(filename) ? (
+                            Array.isArray(addedFiles) && addedFiles.includes(filename) ? (
                                 <CommandItem
                                     key={filename}
                                     value={filename}

src/interface/web/app/page.tsx

@@ -3,26 +3,33 @@ import "./globals.css";
 import styles from "./page.module.css";
 import "katex/dist/katex.min.css";
 
-import React, { useEffect, useState } from "react";
+import React, { useEffect, useRef, useState } from "react";
 import useSWR from "swr";
-import Image from "next/image";
 import { ArrowCounterClockwise } from "@phosphor-icons/react";
 
 import { Card, CardTitle } from "@/components/ui/card";
 import SuggestionCard from "@/app/components/suggestions/suggestionCard";
 import SidePanel from "@/app/components/sidePanel/chatHistorySidePanel";
 import Loading from "@/app/components/loading/loading";
-import ChatInputArea, { ChatOptions } from "@/app/components/chatInputArea/chatInputArea";
+import { ChatInputArea, ChatOptions } from "@/app/components/chatInputArea/chatInputArea";
 import { Suggestion, suggestionsData } from "@/app/components/suggestions/suggestionsData";
 import LoginPrompt from "@/app/components/loginPrompt/loginPrompt";
 
-import { useAuthenticatedData, UserConfig, useUserConfig } from "@/app/common/auth";
+import {
+    isUserSubscribed,
+    useAuthenticatedData,
+    UserConfig,
+    useUserConfig,
+} from "@/app/common/auth";
 import { convertColorToBorderClass } from "@/app/common/colorUtils";
 import { getIconFromIconName } from "@/app/common/iconUtils";
 import { AgentData } from "@/app/agents/page";
 import { createNewConversation } from "./common/chatFunctions";
-import { useIsMobileWidth } from "./common/utils";
-import { useSearchParams } from "next/navigation";
+import { useDebounce, useIsMobileWidth } from "./common/utils";
+import { useRouter, useSearchParams } from "next/navigation";
+import { ScrollArea, ScrollBar } from "@/components/ui/scroll-area";
+import { AgentCard } from "@/app/components/agentCard/agentCard";
+import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover";
 
 interface ChatBodyDataProps {
     chatOptionsData: ChatOptions | null;
@@ -44,14 +51,19 @@ function FisherYatesShuffle(array: any[]) {
 
 function ChatBodyData(props: ChatBodyDataProps) {
     const [message, setMessage] = useState("");
-    const [image, setImage] = useState<string | null>(null);
+    const [images, setImages] = useState<string[]>([]);
     const [processingMessage, setProcessingMessage] = useState(false);
     const [greeting, setGreeting] = useState("");
     const [shuffledOptions, setShuffledOptions] = useState<Suggestion[]>([]);
+    const [hoveredAgent, setHoveredAgent] = useState<string | null>(null);
+    const debouncedHoveredAgent = useDebounce(hoveredAgent, 500);
+    const [isPopoverOpen, setIsPopoverOpen] = useState(false);
     const [selectedAgent, setSelectedAgent] = useState<string | null>("khoj");
     const [agentIcons, setAgentIcons] = useState<JSX.Element[]>([]);
     const [agents, setAgents] = useState<AgentData[]>([]);
+    const chatInputRef = useRef<HTMLTextAreaElement>(null);
     const [showLoginPrompt, setShowLoginPrompt] = useState(false);
+    const router = useRouter();
     const searchParams = useSearchParams();
     const queryParam = searchParams.get("q");
 
@@ -61,6 +73,12 @@ function ChatBodyData(props: ChatBodyDataProps) {
         }
     }, [queryParam]);
 
+    useEffect(() => {
+        if (debouncedHoveredAgent) {
+            setIsPopoverOpen(true);
+        }
+    }, [debouncedHoveredAgent]);
+
     const onConversationIdChange = props.onConversationIdChange;
 
     const agentsFetcher = () =>
@@ -72,6 +90,10 @@ function ChatBodyData(props: ChatBodyDataProps) {
         revalidateOnFocus: false,
     });
 
+    const openAgentEditCard = (agentSlug: string) => {
+        router.push(`/agents?agent=${agentSlug}`);
+    };
+
     function shuffleAndSetOptions() {
         const shuffled = FisherYatesShuffle(suggestionsData);
         setShuffledOptions(shuffled.slice(0, 3));
@@ -108,22 +130,13 @@ function ChatBodyData(props: ChatBodyDataProps) {
     }, [props.chatOptionsData]);
 
     useEffect(() => {
-        const nSlice = props.isMobileWidth ? 2 : 4;
-        const shuffledAgents = agentsData ? [...agentsData].sort(() => 0.5 - Math.random()) : [];
-        const agents = agentsData ? [agentsData[0]] : []; // Always add the first/default agent.
-
-        shuffledAgents.slice(0, nSlice - 1).forEach((agent) => {
-            if (!agents.find((a) => a.slug === agent.slug)) {
-                agents.push(agent);
-            }
-        });
-
+        const agents = (agentsData || []).filter((agent) => agent !== null && agent !== undefined);
         setAgents(agents);
+        // set the first agent, which is always the default agent, as the default for chat
+        setSelectedAgent(agents.length > 1 ? agents[0].slug : "khoj");
 
-        //generate colored icons for the selected agents
-        const agentIcons = agents
-            .filter((agent) => agent !== null && agent !== undefined)
-            .map((agent) => getIconFromIconName(agent.icon, agent.color)!);
+        // generate colored icons for the available agents
+        const agentIcons = agents.map((agent) => getIconFromIconName(agent.icon, agent.color)!);
         setAgentIcons(agentIcons);
     }, [agentsData, props.isMobileWidth]);
 
@@ -138,24 +151,39 @@ function ChatBodyData(props: ChatBodyDataProps) {
                 try {
                     const newConversationId = await createNewConversation(selectedAgent || "khoj");
                     onConversationIdChange?.(newConversationId);
-                    window.location.href = `/chat?conversationId=${newConversationId}`;
                     localStorage.setItem("message", message);
-                    if (image) {
-                        localStorage.setItem("image", image);
+                    if (images.length > 0) {
+                        localStorage.setItem("images", JSON.stringify(images));
                     }
+                    window.location.href = `/chat?conversationId=${newConversationId}`;
                 } catch (error) {
                     console.error("Error creating new conversation:", error);
                     setProcessingMessage(false);
                 }
                 setMessage("");
+                setImages([]);
             }
         };
         processMessage();
-        if (message) {
+        if (message || images.length > 0) {
             setProcessingMessage(true);
         }
     }, [selectedAgent, message, processingMessage, onConversationIdChange]);
 
+    // Close the agent detail hover card when scroll on agent pane
+    useEffect(() => {
+        const scrollAreaSelector = "[data-radix-scroll-area-viewport]";
+        const scrollAreaEl = document.querySelector<HTMLElement>(scrollAreaSelector);
+        const handleScroll = () => {
+            setHoveredAgent(null);
+            setIsPopoverOpen(false);
+        };
+
+        scrollAreaEl?.addEventListener("scroll", handleScroll);
+
+        return () => scrollAreaEl?.removeEventListener("scroll", handleScroll);
+    }, []);
+
     function fillArea(link: string, type: string, prompt: string) {
         if (!link) {
             let message_str = "";
@@ -194,37 +222,76 @@ function ChatBodyData(props: ChatBodyDataProps) {
                     </h1>
                 </div>
                 {!props.isMobileWidth && (
-                    <div className="flex pb-6 gap-2 items-center justify-center">
-                        {agentIcons.map((icon, index) => (
+                    <ScrollArea className="w-full max-w-[600px] mx-auto">
+                        <div className="flex pb-2 gap-2 items-center justify-center">
+                            {agents.map((agent, index) => (
+                                <Popover
+                                    key={`${index}-${agent.slug}`}
+                                    open={isPopoverOpen && debouncedHoveredAgent === agent.slug}
+                                    onOpenChange={(open) => {
+                                        if (!open) {
+                                            setHoveredAgent(null);
+                                            setIsPopoverOpen(false);
+                                        }
+                                    }}
+                                >
+                                    <PopoverTrigger asChild>
                                         <Card
-                                key={`${index}-${agents[index].slug}`}
                                             className={`${
-                                    selectedAgent === agents[index].slug
-                                        ? convertColorToBorderClass(agents[index].color)
+                                                selectedAgent === agent.slug
+                                                    ? convertColorToBorderClass(agent.color)
                                                     : "border-stone-100 dark:border-neutral-700 text-muted-foreground"
                                             }
                                             hover:cursor-pointer rounded-lg px-2 py-2`}
+                                            onDoubleClick={() => openAgentEditCard(agent.slug)}
+                                            onClick={() => {
+                                                setSelectedAgent(agent.slug);
+                                                chatInputRef.current?.focus();
+                                                setHoveredAgent(null);
+                                                setIsPopoverOpen(false);
+                                            }}
+                                            onMouseEnter={() => setHoveredAgent(agent.slug)}
+                                            onMouseLeave={() => {
+                                                setHoveredAgent(null);
+                                                setIsPopoverOpen(false);
+                                            }}
                                         >
-                                <CardTitle
-                                    className="text-center text-md font-medium flex justify-center items-center"
-                                    onClick={() => setSelectedAgent(agents[index].slug)}
-                                >
-                                    {icon} {agents[index].name}
+                                            <CardTitle className="text-center text-md font-medium flex justify-center items-center whitespace-nowrap">
+                                                {agentIcons[index]} {agent.name}
                                             </CardTitle>
                                         </Card>
+                                    </PopoverTrigger>
+                                    <PopoverContent
+                                        className="w-80 p-0 border-none bg-transparent shadow-none"
+                                        onMouseLeave={() => {
+                                            setHoveredAgent(null);
+                                            setIsPopoverOpen(false);
+                                        }}
+                                    >
+                                        <AgentCard
+                                            data={agent}
+                                            userProfile={null}
+                                            isMobileWidth={props.isMobileWidth || false}
+                                            showChatButton={false}
+                                            editCard={false}
+                                            filesOptions={[]}
+                                            selectedChatModelOption=""
+                                            agentSlug=""
+                                            isSubscribed={isUserSubscribed(props.userConfig)}
+                                            setAgentChangeTriggered={() => {}}
+                                            modelOptions={[]}
+                                            inputToolOptions={{}}
+                                            outputModeOptions={{}}
+                                        />
+                                    </PopoverContent>
+                                </Popover>
                             ))}
-                        <Card
-                            className="border-none shadow-none flex justify-center items-center hover:cursor-pointer"
-                            onClick={() => (window.location.href = "/agents")}
-                        >
-                            <CardTitle className="text-center text-md font-normal flex justify-center items-center px-1.5 py-2">
-                                See All →
-                            </CardTitle>
-                        </Card>
                         </div>
+                        <ScrollBar orientation="horizontal" />
+                    </ScrollArea>
                 )}
             </div>
-            <div className={`mx-auto ${props.isMobileWidth ? "w-full" : "w-fit"}`}>
+            <div className={`mx-auto ${props.isMobileWidth ? "w-full" : "w-fit max-w-screen-md"}`}>
                 {!props.isMobileWidth && (
                     <div
                         className={`w-full ${styles.inputBox} shadow-lg bg-background align-middle items-center justify-center px-3 py-1 dark:bg-neutral-700 border-stone-100 dark:border-none dark:shadow-none rounded-2xl`}
@@ -232,12 +299,13 @@ function ChatBodyData(props: ChatBodyDataProps) {
                         <ChatInputArea
                             isLoggedIn={props.isLoggedIn}
                             sendMessage={(message) => setMessage(message)}
-                            sendImage={(image) => setImage(image)}
+                            sendImage={(image) => setImages((prevImages) => [...prevImages, image])}
                             sendDisabled={processingMessage}
                             chatOptionsData={props.chatOptionsData}
                             conversationId={null}
                             isMobileWidth={props.isMobileWidth}
                             setUploadedFiles={props.setUploadedFiles}
+                            ref={chatInputRef}
                         />
                     </div>
                 )}
@@ -285,6 +353,7 @@ function ChatBodyData(props: ChatBodyDataProps) {
                     <div
                         className={`${styles.inputBox} pt-1 shadow-[0_-20px_25px_-5px_rgba(0,0,0,0.1)] dark:bg-neutral-700 bg-background align-middle items-center justify-center pb-3 mx-1 rounded-t-2xl rounded-b-none`}
                     >
+                        <ScrollArea className="w-full max-w-[85vw]">
                             <div className="flex gap-2 items-center justify-left pt-1 pb-2 px-12">
                                 {agentIcons.map((icon, index) => (
                                     <Card
@@ -293,32 +362,31 @@ function ChatBodyData(props: ChatBodyDataProps) {
                                     >
                                         <CardTitle
                                             className="text-center text-xs font-medium flex justify-center items-center px-1.5 py-1"
-                                        onClick={() => setSelectedAgent(agents[index].slug)}
+                                            onDoubleClick={() =>
+                                                openAgentEditCard(agents[index].slug)
+                                            }
+                                            onClick={() => {
+                                                setSelectedAgent(agents[index].slug);
+                                                chatInputRef.current?.focus();
+                                            }}
                                         >
                                             {icon} {agents[index].name}
                                         </CardTitle>
                                     </Card>
                                 ))}
-                            <Card
-                                className="border-none shadow-none flex justify-center items-center hover:cursor-pointer"
-                                onClick={() => (window.location.href = "/agents")}
-                            >
-                                <CardTitle
-                                    className={`text-center ${props.isMobileWidth ? "text-xs" : "text-md"} font-normal flex justify-center items-center px-1.5 py-2`}
-                                >
-                                    See All →
-                                </CardTitle>
-                            </Card>
                             </div>
+                            <ScrollBar orientation="horizontal" />
+                        </ScrollArea>
                         <ChatInputArea
                             isLoggedIn={props.isLoggedIn}
                             sendMessage={(message) => setMessage(message)}
-                            sendImage={(image) => setImage(image)}
+                            sendImage={(image) => setImages((prevImages) => [...prevImages, image])}
                             sendDisabled={processingMessage}
                             chatOptionsData={props.chatOptionsData}
                             conversationId={null}
                             isMobileWidth={props.isMobileWidth}
                             setUploadedFiles={props.setUploadedFiles}
+                            ref={chatInputRef}
                         />
                     </div>
                 </>

src/interface/web/app/settings/page.tsx

@@ -513,7 +513,7 @@ export default function SettingsView() {
     const isMobileWidth = useIsMobileWidth();
 
     const cardClassName =
-        "w-full lg:w-1/3 grid grid-flow-column border border-gray-300 shadow-md rounded-lg bg-gradient-to-b from-background to-gray-50 dark:to-gray-950";
+        "w-full lg:w-1/3 grid grid-flow-column border border-gray-300 shadow-md rounded-lg bg-gradient-to-b from-background to-gray-50 dark:to-gray-950 border border-opacity-50";
 
     useEffect(() => {
         setUserConfig(initialUserConfig);
@@ -640,6 +640,51 @@ export default function SettingsView() {
         }
     };
 
+    const enableFreeTrial = async () => {
+        const formatDate = (dateString: Date) => {
+            const date = new Date(dateString);
+            return new Intl.DateTimeFormat("en-US", {
+                day: "2-digit",
+                month: "short",
+                year: "numeric",
+            }).format(date);
+        };
+
+        try {
+            const response = await fetch(`/api/subscription/trial`, {
+                method: "POST",
+            });
+            if (!response.ok) throw new Error("Failed to enable free trial");
+
+            const responseBody = await response.json();
+
+            // Set updated user settings
+            if (responseBody.trial_enabled && userConfig) {
+                let newUserConfig = userConfig;
+                newUserConfig.subscription_state = SubscriptionStates.TRIAL;
+                const renewalDate = new Date(
+                    Date.now() + userConfig.length_of_free_trial * 24 * 60 * 60 * 1000,
+                );
+                newUserConfig.subscription_renewal_date = formatDate(renewalDate);
+                newUserConfig.subscription_enabled_trial_at = new Date().toISOString();
+                setUserConfig(newUserConfig);
+
+                // Notify user of free trial
+                toast({
+                    title: "🎉 Trial Enabled",
+                    description: `Your free trial will end on ${newUserConfig.subscription_renewal_date}`,
+                });
+            }
+        } catch (error) {
+            console.error("Error enabling free trial:", error);
+            toast({
+                title: "⚠️ Failed to Enable Free Trial",
+                description:
+                    "Failed to enable free trial. Try again or contact us at team@khoj.dev",
+            });
+        }
+    };
+
     const saveName = async () => {
         if (!name) return;
         try {
@@ -673,7 +718,7 @@ export default function SettingsView() {
     };
 
     const updateModel = (name: string) => async (id: string) => {
-        if (!userConfig?.is_active && name !== "search") {
+        if (!userConfig?.is_active) {
             toast({
                 title: `Model Update`,
                 description: `You need to be subscribed to update ${name} models`,
@@ -866,10 +911,13 @@ export default function SettingsView() {
                                                         Futurist (Trial)
                                                     </p>
                                                     <p className="text-gray-400">
-                                                        You are on a 14 day trial of the Khoj
-                                                        Futurist plan. Check{" "}
+                                                        You are on a{" "}
+                                                        {userConfig.length_of_free_trial} day trial
+                                                        of the Khoj Futurist plan. Your trial ends
+                                                        on {userConfig.subscription_renewal_date}.
+                                                        Check{" "}
                                                         <a
-                                                            href="https://khoj.dev/pricing"
+                                                            href="https://khoj.dev/#pricing"
                                                             target="_blank"
                                                         >
                                                             pricing page
@@ -909,7 +957,7 @@ export default function SettingsView() {
                                                 )) ||
                                                 (userConfig.subscription_state === "expired" && (
                                                     <>
-                                                        <p className="text-xl">Free Plan</p>
+                                                        <p className="text-xl">Humanist</p>
                                                         {(userConfig.subscription_renewal_date && (
                                                             <p className="text-gray-400">
                                                                 Subscription <b>expired</b> on{" "}
@@ -923,7 +971,7 @@ export default function SettingsView() {
                                                             <p className="text-gray-400">
                                                                 Check{" "}
                                                                 <a
-                                                                    href="https://khoj.dev/pricing"
+                                                                    href="https://khoj.dev/#pricing"
                                                                     target="_blank"
                                                                 >
                                                                     pricing page
@@ -960,7 +1008,8 @@ export default function SettingsView() {
                                                         />
                                                         Resubscribe
                                                     </Button>
-                                                )) || (
+                                                )) ||
+                                                (userConfig.subscription_enabled_trial_at && (
                                                     <Button
                                                         variant="outline"
                                                         className="text-primary/80 hover:text-primary"
@@ -978,6 +1027,18 @@ export default function SettingsView() {
                                                         />
                                                         Subscribe
                                                     </Button>
+                                                )) || (
+                                                    <Button
+                                                        variant="outline"
+                                                        className="text-primary/80 hover:text-primary"
+                                                        onClick={enableFreeTrial}
+                                                    >
+                                                        <ArrowCircleUp
+                                                            weight="bold"
+                                                            className="h-5 w-5 mr-2"
+                                                        />
+                                                        Enable Trial
+                                                    </Button>
                                                 )}
                                         </CardFooter>
                                     </Card>
@@ -1172,27 +1233,6 @@ export default function SettingsView() {
                                             </CardFooter>
                                         </Card>
                                     )}
-                                    {userConfig.search_model_options.length > 0 && (
-                                        <Card className={cardClassName}>
-                                            <CardHeader className="text-xl flex flex-row">
-                                                <FileMagnifyingGlass className="h-7 w-7 mr-2" />
-                                                Search
-                                            </CardHeader>
-                                            <CardContent className="overflow-hidden pb-12 grid gap-8 h-fit">
-                                                <p className="text-gray-400">
-                                                    Pick the search model to find your documents
-                                                </p>
-                                                <DropdownComponent
-                                                    items={userConfig.search_model_options}
-                                                    selected={
-                                                        userConfig.selected_search_model_config
-                                                    }
-                                                    callbackFunc={updateModel("search")}
-                                                />
-                                            </CardContent>
-                                            <CardFooter className="flex flex-wrap gap-4"></CardFooter>
-                                        </Card>
-                                    )}
                                     {userConfig.paint_model_options.length > 0 && (
                                         <Card className={cardClassName}>
                                             <CardHeader className="text-xl flex flex-row">

src/interface/web/app/share/chat/layout.tsx

@@ -27,7 +27,14 @@ export default function RootLayout({
                        child-src 'none';
                        object-src 'none';"
             ></meta>
-            <body className={inter.className}>{children}</body>
+            <body className={inter.className}>
+                {children}
+                <script
+                    dangerouslySetInnerHTML={{
+                        __html: `window.EXCALIDRAW_ASSET_PATH = 'https://assets.khoj.dev/@excalidraw/excalidraw/dist/';`,
+                    }}
+                />
+            </body>
         </html>
     );
 }

src/interface/web/app/share/chat/page.tsx

@@ -13,7 +13,7 @@ import "katex/dist/katex.min.css";
 import { useIPLocationData, useIsMobileWidth, welcomeConsole } from "../../common/utils";
 import { useAuthenticatedData } from "@/app/common/auth";
 
-import ChatInputArea, { ChatOptions } from "@/app/components/chatInputArea/chatInputArea";
+import { ChatInputArea, ChatOptions } from "@/app/components/chatInputArea/chatInputArea";
 import { StreamMessage } from "@/app/components/chatMessage/chatMessage";
 import { processMessageChunk } from "@/app/common/chatFunctions";
 import { AgentData } from "@/app/agents/page";
@@ -28,22 +28,44 @@ interface ChatBodyDataProps {
     isLoggedIn: boolean;
     conversationId?: string;
     setQueryToProcess: (query: string) => void;
-    setImage64: (image64: string) => void;
+    setImages: (images: string[]) => void;
 }
 
 function ChatBodyData(props: ChatBodyDataProps) {
     const [message, setMessage] = useState("");
-    const [image, setImage] = useState<string | null>(null);
+    const [images, setImages] = useState<string[]>([]);
     const [processingMessage, setProcessingMessage] = useState(false);
     const [agentMetadata, setAgentMetadata] = useState<AgentData | null>(null);
+    const chatInputRef = useRef<HTMLTextAreaElement>(null);
+
     const setQueryToProcess = props.setQueryToProcess;
     const streamedMessages = props.streamedMessages;
 
+    const chatHistoryCustomClassName = props.isMobileWidth ? "w-full" : "w-4/6";
+
     useEffect(() => {
-        if (image) {
-            props.setImage64(encodeURIComponent(image));
+        if (images.length > 0) {
+            const encodedImages = images.map((image) => encodeURIComponent(image));
+            props.setImages(encodedImages);
         }
-    }, [image, props.setImage64]);
+    }, [images, props.setImages]);
+
+    useEffect(() => {
+        const storedImages = localStorage.getItem("images");
+        if (storedImages) {
+            const parsedImages: string[] = JSON.parse(storedImages);
+            setImages(parsedImages);
+            const encodedImages = parsedImages.map((img: string) => encodeURIComponent(img));
+            props.setImages(encodedImages);
+            localStorage.removeItem("images");
+        }
+
+        const storedMessage = localStorage.getItem("message");
+        if (storedMessage) {
+            setProcessingMessage(true);
+            setQueryToProcess(storedMessage);
+        }
+    }, [setQueryToProcess, props.setImages]);
 
     useEffect(() => {
         if (message) {
@@ -78,21 +100,23 @@ function ChatBodyData(props: ChatBodyDataProps) {
                     setTitle={props.setTitle}
                     pendingMessage={processingMessage ? message : ""}
                     incomingMessages={props.streamedMessages}
+                    customClassName={chatHistoryCustomClassName}
                 />
             </div>
             <div
-                className={`${styles.inputBox} p-1 md:px-2 shadow-md bg-background align-middle items-center justify-center dark:bg-neutral-700 dark:border-0 dark:shadow-sm rounded-t-2xl rounded-b-none md:rounded-xl`}
+                className={`${styles.inputBox} p-1 md:px-2 shadow-md bg-background align-middle items-center justify-center dark:bg-neutral-700 dark:border-0 dark:shadow-sm rounded-t-2xl rounded-b-none md:rounded-xl h-fit ${chatHistoryCustomClassName} mr-auto ml-auto`}
             >
                 <ChatInputArea
                     isLoggedIn={props.isLoggedIn}
                     sendMessage={(message) => setMessage(message)}
-                    sendImage={(image) => setImage(image)}
+                    sendImage={(image) => setImages((prevImages) => [...prevImages, image])}
                     sendDisabled={processingMessage}
                     chatOptionsData={props.chatOptionsData}
                     conversationId={props.conversationId}
                     agentColor={agentMetadata?.color}
                     isMobileWidth={props.isMobileWidth}
                     setUploadedFiles={props.setUploadedFiles}
+                    ref={chatInputRef}
                 />
             </div>
         </>
@@ -109,7 +133,7 @@ export default function SharedChat() {
     const [processQuerySignal, setProcessQuerySignal] = useState(false);
     const [uploadedFiles, setUploadedFiles] = useState<string[]>([]);
     const [paramSlug, setParamSlug] = useState<string | undefined>(undefined);
-    const [image64, setImage64] = useState<string>("");
+    const [images, setImages] = useState<string[]>([]);
 
     const locationData = useIPLocationData() || {
         timezone: Intl.DateTimeFormat().resolvedOptions().timeZone,
@@ -168,7 +192,7 @@ export default function SharedChat() {
                 completed: false,
                 timestamp: new Date().toISOString(),
                 rawQuery: queryToProcess || "",
-                uploadedImageData: decodeURIComponent(image64),
+                images: images,
             };
             setMessages((prevMessages) => [...prevMessages, newStreamMessage]);
             setProcessQuerySignal(true);
@@ -195,7 +219,7 @@ export default function SharedChat() {
             if (done) {
                 setQueryToProcess("");
                 setProcessQuerySignal(false);
-                setImage64("");
+                setImages([]);
                 break;
             }
 
@@ -237,7 +261,7 @@ export default function SharedChat() {
                 country_code: locationData.countryCode,
                 timezone: locationData.timezone,
             }),
-            ...(image64 && { image: image64 }),
+            ...(images.length > 0 && { image: images }),
         };
 
         const response = await fetch(chatAPI, {
@@ -276,6 +300,19 @@ export default function SharedChat() {
 
             <div className={styles.chatBox}>
                 <div className={styles.chatBoxBody}>
+                    {!isMobileWidth && title && (
+                        <div
+                            className={`${styles.chatTitleWrapper} text-nowrap text-ellipsis overflow-hidden max-w-screen-md grid items-top font-bold mr-8 pt-6 col-auto h-fit`}
+                        >
+                            {title && (
+                                <h2
+                                    className={`text-lg text-ellipsis whitespace-nowrap overflow-x-hidden`}
+                                >
+                                    {title}
+                                </h2>
+                            )}
+                        </div>
+                    )}
                     <Suspense fallback={<Loading />}>
                         <ChatBodyData
                             conversationId={conversationId}
@@ -287,7 +324,7 @@ export default function SharedChat() {
                             setTitle={setTitle}
                             setUploadedFiles={setUploadedFiles}
                             isMobileWidth={isMobileWidth}
-                            setImage64={setImage64}
+                            setImages={setImages}
                         />
                     </Suspense>
                 </div>

src/interface/web/app/share/chat/sharedChat.module.css

@@ -75,7 +75,7 @@ div.titleBar {
 div.chatBoxBody {
     display: grid;
     height: 100%;
-    width: 70%;
+    width: 95%;
     margin: auto;
 }
 

src/interface/web/package.json

@@ -1,6 +1,6 @@
 {
     "name": "khoj-ai",
-    "version": "1.25.0",
+    "version": "1.26.4",
     "private": true,
     "scripts": {
         "dev": "next dev",
@@ -63,7 +63,8 @@
         "swr": "^2.2.5",
         "typescript": "^5",
         "vaul": "^0.9.1",
-        "zod": "^3.23.8"
+        "zod": "^3.23.8",
+        "@excalidraw/excalidraw": "^0.17.6"
     },
     "devDependencies": {
         "@types/dompurify": "^3.0.5",

src/interface/web/yarn.lock

@@ -286,6 +286,11 @@
   resolved "https://registry.yarnpkg.com/@eslint/js/-/js-8.57.1.tgz#de633db3ec2ef6a3c89e2f19038063e8a122e2c2"
   integrity sha512-d9zaMRSTIKDLhctzH12MtXvJKSSUhaHcjV+2Z+GK+EEY7XKpP5yR4x+N3TAcHTcu963nIr+TMcCb4DBCYX1z6Q==
 
+"@excalidraw/excalidraw@^0.17.6":
+  version "0.17.6"
+  resolved "https://registry.yarnpkg.com/@excalidraw/excalidraw/-/excalidraw-0.17.6.tgz#5fd208ce69d33ca712d1804b50d7d06d5c46ac4d"
+  integrity sha512-fyCl+zG/Z5yhHDh5Fq2ZGmphcrALmuOdtITm8gN4d8w4ntnaopTXcTfnAAaU3VleDC6LhTkoLOTG6P5kgREiIg==
+
 "@floating-ui/core@^1.6.0":
   version "1.6.8"
   resolved "https://registry.yarnpkg.com/@floating-ui/core/-/core-1.6.8.tgz#aa43561be075815879305965020f492cdb43da12"

src/khoj/configure.py

@@ -108,7 +108,7 @@ class UserAuthenticationBackend(AuthenticationBackend):
                 password="default",
             )
             renewal_date = make_aware(datetime.strptime("2100-04-01", "%Y-%m-%d"))
-            Subscription.objects.create(user=default_user, type="standard", renewal_date=renewal_date)
+            Subscription.objects.create(user=default_user, type=Subscription.Type.STANDARD, renewal_date=renewal_date)
 
     async def authenticate(self, request: HTTPConnection):
         current_user = request.session.get("user")
@@ -172,7 +172,7 @@ class UserAuthenticationBackend(AuthenticationBackend):
                         request=request,
                         telemetry_type="api",
                         api="create_user",
-                        metadata={"user_id": str(user.uuid)},
+                        metadata={"server_id": str(user.uuid)},
                     )
                     logger.log(logging.INFO, f"🥳 New User Created: {user.uuid}")
             else:
@@ -312,7 +312,7 @@ def configure_routes(app):
         logger.info("🔑 Enabled Authentication")
 
     if state.billing_enabled:
-        from khoj.routers.subscription import subscription_router
+        from khoj.routers.api_subscription import subscription_router
 
         app.include_router(subscription_router, prefix="/api/subscription")
         logger.info("💳 Enabled Billing")

src/khoj/database/adapters/__init__.py

@@ -1,6 +1,7 @@
 import json
 import logging
 import math
+import os
 import random
 import re
 import secrets
@@ -10,7 +11,6 @@ from enum import Enum
 from typing import Callable, Iterable, List, Optional, Type
 
 import cron_descriptor
-import django
 from apscheduler.job import Job
 from asgiref.sync import sync_to_async
 from django.contrib.sessions.backends.db import SessionStore
@@ -52,6 +52,7 @@ from khoj.database.models import (
     UserTextToImageModelConfig,
     UserVoiceModelConfig,
     VoiceModelOption,
+    WebScraper,
 )
 from khoj.processor.conversation import prompts
 from khoj.search_filter.date_filter import DateFilter
@@ -59,11 +60,19 @@ from khoj.search_filter.file_filter import FileFilter
 from khoj.search_filter.word_filter import WordFilter
 from khoj.utils import state
 from khoj.utils.config import OfflineChatProcessorModel
-from khoj.utils.helpers import generate_random_name, is_none_or_empty, timer
+from khoj.utils.helpers import (
+    generate_random_name,
+    in_debug_mode,
+    is_none_or_empty,
+    timer,
+)
 
 logger = logging.getLogger(__name__)
 
 
+LENGTH_OF_FREE_TRIAL = 7  #
+
+
 class SubscriptionState(Enum):
     TRIAL = "trial"
     SUBSCRIBED = "subscribed"
@@ -162,7 +171,7 @@ async def acreate_user_by_phone_number(phone_number: str) -> KhojUser:
     )
     await user.asave()
 
-    await Subscription.objects.acreate(user=user, type="trial")
+    await Subscription.objects.acreate(user=user, type=Subscription.Type.STANDARD)
 
     return user
 
@@ -179,11 +188,29 @@ async def aget_or_create_user_by_email(email: str) -> tuple[KhojUser, bool]:
 
     user_subscription = await Subscription.objects.filter(user=user).afirst()
     if not user_subscription:
-        await Subscription.objects.acreate(user=user, type="trial")
+        await Subscription.objects.acreate(user=user, type=Subscription.Type.STANDARD)
 
     return user, is_new
 
 
+async def astart_trial_subscription(user: KhojUser) -> Subscription:
+    subscription = await Subscription.objects.filter(user=user).afirst()
+    if not subscription:
+        raise HTTPException(status_code=400, detail="User does not have a subscription")
+
+    if subscription.type == Subscription.Type.TRIAL:
+        raise HTTPException(status_code=400, detail="User already has a trial subscription")
+
+    if subscription.enabled_trial_at:
+        raise HTTPException(status_code=400, detail="User already has a trial subscription")
+
+    subscription.type = Subscription.Type.TRIAL
+    subscription.enabled_trial_at = datetime.now(tz=timezone.utc)
+    subscription.renewal_date = datetime.now(tz=timezone.utc) + timedelta(days=LENGTH_OF_FREE_TRIAL)
+    await subscription.asave()
+    return subscription
+
+
 async def aget_user_validated_by_email_verification_code(code: str) -> KhojUser:
     user = await KhojUser.objects.filter(email_verification_code=code).afirst()
     if not user:
@@ -215,7 +242,7 @@ async def create_user_by_google_token(token: dict) -> KhojUser:
         user=user,
     )
 
-    await Subscription.objects.acreate(user=user, type="trial")
+    await Subscription.objects.acreate(user=user, type=Subscription.Type.STANDARD)
 
     return user
 
@@ -273,16 +300,15 @@ def subscription_to_state(subscription: Subscription) -> str:
     if not subscription:
         return SubscriptionState.INVALID.value
     elif subscription.type == Subscription.Type.TRIAL:
-        # Trial subscription is valid for 7 days
-        if datetime.now(tz=timezone.utc) - subscription.created_at > timedelta(days=14):
+        # Check if the trial has expired
+        if datetime.now(tz=timezone.utc) > subscription.renewal_date:
             return SubscriptionState.EXPIRED.value
-
         return SubscriptionState.TRIAL.value
-    elif subscription.is_recurring and subscription.renewal_date >= datetime.now(tz=timezone.utc):
+    elif subscription.is_recurring and subscription.renewal_date > datetime.now(tz=timezone.utc):
         return SubscriptionState.SUBSCRIBED.value
     elif not subscription.is_recurring and subscription.renewal_date is None:
         return SubscriptionState.EXPIRED.value
-    elif not subscription.is_recurring and subscription.renewal_date >= datetime.now(tz=timezone.utc):
+    elif not subscription.is_recurring and subscription.renewal_date > datetime.now(tz=timezone.utc):
         return SubscriptionState.UNSUBSCRIBED.value
     elif not subscription.is_recurring and subscription.renewal_date < datetime.now(tz=timezone.utc):
         return SubscriptionState.EXPIRED.value
@@ -440,18 +466,26 @@ async def set_user_github_config(user: KhojUser, pat_token: str, repos: list):
     return config
 
 
-def get_user_search_model_or_default(user=None):
-    if user and UserSearchModelConfig.objects.filter(user=user).exists():
-        return UserSearchModelConfig.objects.filter(user=user).first().setting
+def get_default_search_model() -> SearchModelConfig:
+    default_search_model = SearchModelConfig.objects.filter(name="default").first()
 
-    if SearchModelConfig.objects.filter(name="default").exists():
-        return SearchModelConfig.objects.filter(name="default").first()
+    if default_search_model:
+        return default_search_model
     else:
         SearchModelConfig.objects.create()
 
     return SearchModelConfig.objects.first()
 
 
+def get_user_default_search_model(user: KhojUser = None) -> SearchModelConfig:
+    if user:
+        user_search_model = UserSearchModelConfig.objects.filter(user=user).first()
+        if user_search_model:
+            return user_search_model.setting
+
+    return get_default_search_model()
+
+
 def get_or_create_search_models():
     search_models = SearchModelConfig.objects.all()
     if search_models.count() == 0:
@@ -461,21 +495,6 @@ def get_or_create_search_models():
     return search_models
 
 
-async def aset_user_search_model(user: KhojUser, search_model_config_id: int):
-    config = await SearchModelConfig.objects.filter(id=search_model_config_id).afirst()
-    if not config:
-        return None
-    new_config, _ = await UserSearchModelConfig.objects.aupdate_or_create(user=user, defaults={"setting": config})
-    return new_config
-
-
-async def aget_user_search_model(user: KhojUser):
-    config = await UserSearchModelConfig.objects.filter(user=user).prefetch_related("setting").afirst()
-    if not config:
-        return None
-    return config.setting
-
-
 class ProcessLockAdapters:
     @staticmethod
     def get_process_lock(process_name: str):
@@ -616,6 +635,8 @@ class AgentAdapters:
     @staticmethod
     def get_all_accessible_agents(user: KhojUser = None):
         public_query = Q(privacy_level=Agent.PrivacyLevel.PUBLIC)
+        # TODO Update this to allow any public agent that's officially approved once that experience is launched
+        public_query &= Q(managed_by_admin=True)
         if user:
             return (
                 Agent.objects.filter(public_query | Q(creator=user))
@@ -634,6 +655,16 @@ class AgentAdapters:
         agents = await sync_to_async(AgentAdapters.get_all_accessible_agents)(user)
         return await sync_to_async(list)(agents)
 
+    @staticmethod
+    async def ais_agent_accessible(agent: Agent, user: KhojUser) -> bool:
+        if agent.privacy_level == Agent.PrivacyLevel.PUBLIC:
+            return True
+        if agent.creator == user:
+            return True
+        if agent.privacy_level == Agent.PrivacyLevel.PROTECTED:
+            return True
+        return False
+
     @staticmethod
     def get_conversation_agent_by_id(agent_id: int):
         agent = Agent.objects.filter(id=agent_id).first()
@@ -1031,6 +1062,70 @@ class ConversationAdapters:
             return server_chat_settings.chat_advanced
         return await ConversationAdapters.aget_default_conversation_config(user)
 
+    @staticmethod
+    async def aget_server_webscraper():
+        server_chat_settings = await ServerChatSettings.objects.filter().prefetch_related("web_scraper").afirst()
+        if server_chat_settings is not None and server_chat_settings.web_scraper is not None:
+            return server_chat_settings.web_scraper
+        return None
+
+    @staticmethod
+    async def aget_enabled_webscrapers() -> list[WebScraper]:
+        enabled_scrapers: list[WebScraper] = []
+        server_webscraper = await ConversationAdapters.aget_server_webscraper()
+        if server_webscraper:
+            # Only use the webscraper set in the server chat settings
+            enabled_scrapers = [server_webscraper]
+        if not enabled_scrapers:
+            # Use the enabled web scrapers, ordered by priority, until get web page content
+            enabled_scrapers = [scraper async for scraper in WebScraper.objects.all().order_by("priority").aiterator()]
+        if not enabled_scrapers:
+            # Use scrapers enabled via environment variables
+            if os.getenv("FIRECRAWL_API_KEY"):
+                api_url = os.getenv("FIRECRAWL_API_URL", "https://api.firecrawl.dev")
+                enabled_scrapers.append(
+                    WebScraper(
+                        type=WebScraper.WebScraperType.FIRECRAWL,
+                        name=WebScraper.WebScraperType.FIRECRAWL.capitalize(),
+                        api_key=os.getenv("FIRECRAWL_API_KEY"),
+                        api_url=api_url,
+                    )
+                )
+            if os.getenv("OLOSTEP_API_KEY"):
+                api_url = os.getenv("OLOSTEP_API_URL", "https://agent.olostep.com/olostep-p2p-incomingAPI")
+                enabled_scrapers.append(
+                    WebScraper(
+                        type=WebScraper.WebScraperType.OLOSTEP,
+                        name=WebScraper.WebScraperType.OLOSTEP.capitalize(),
+                        api_key=os.getenv("OLOSTEP_API_KEY"),
+                        api_url=api_url,
+                    )
+                )
+            # Jina is the default fallback scrapers to use as it does not require an API key
+            api_url = os.getenv("JINA_READER_API_URL", "https://r.jina.ai/")
+            enabled_scrapers.append(
+                WebScraper(
+                    type=WebScraper.WebScraperType.JINA,
+                    name=WebScraper.WebScraperType.JINA.capitalize(),
+                    api_key=os.getenv("JINA_API_KEY"),
+                    api_url=api_url,
+                )
+            )
+
+            # Only enable the direct web page scraper by default in self-hosted single user setups.
+            # Useful for reading webpages on your intranet.
+            if state.anonymous_mode or in_debug_mode():
+                enabled_scrapers.append(
+                    WebScraper(
+                        type=WebScraper.WebScraperType.DIRECT,
+                        name=WebScraper.WebScraperType.DIRECT.capitalize(),
+                        api_key=None,
+                        api_url=None,
+                    )
+                )
+
+        return enabled_scrapers
+
     @staticmethod
     def create_conversation_from_public_conversation(
         user: KhojUser, public_conversation: PublicConversation, client_app: ClientApplication
@@ -1393,12 +1488,15 @@ class EntryAdapters:
         file_filters = EntryAdapters.file_filter.get_filter_terms(query)
         date_filters = EntryAdapters.date_filter.get_query_date_range(query)
 
-        user_or_agent = Q(user=user)
+        owner_filter = Q()
+
+        if user != None:
+            owner_filter = Q(user=user)
         if agent != None:
-            user_or_agent |= Q(agent=agent)
+            owner_filter |= Q(agent=agent)
 
         if len(word_filters) == 0 and len(file_filters) == 0 and len(date_filters) == 0:
-            return Entry.objects.filter(user_or_agent)
+            return Entry.objects.filter(owner_filter)
 
         for term in word_filters:
             if term.startswith("+"):
@@ -1434,7 +1532,7 @@ class EntryAdapters:
                 formatted_max_date = date.fromtimestamp(max_date).strftime("%Y-%m-%d")
                 q_filter_terms &= Q(embeddings_dates__date__lte=formatted_max_date)
 
-        relevant_entries = Entry.objects.filter(user_or_agent).filter(q_filter_terms)
+        relevant_entries = Entry.objects.filter(owner_filter).filter(q_filter_terms)
         if file_type_filter:
             relevant_entries = relevant_entries.filter(file_type=file_type_filter)
         return relevant_entries
@@ -1449,13 +1547,18 @@ class EntryAdapters:
         max_distance: float = math.inf,
         agent: Agent = None,
     ):
-        user_or_agent = Q(user=user)
+        owner_filter = Q()
 
+        if user != None:
+            owner_filter = Q(user=user)
         if agent != None:
-            user_or_agent |= Q(agent=agent)
+            owner_filter |= Q(agent=agent)
+
+        if owner_filter == Q():
+            return Entry.objects.none()
 
         relevant_entries = EntryAdapters.apply_filters(user, raw_query, file_type_filter, agent)
-        relevant_entries = relevant_entries.filter(user_or_agent).annotate(
+        relevant_entries = relevant_entries.filter(owner_filter).annotate(
             distance=CosineDistance("embeddings", embeddings)
         )
         relevant_entries = relevant_entries.filter(distance__lte=max_distance)

src/khoj/database/admin.py

@@ -31,6 +31,7 @@ from khoj.database.models import (
     UserSearchModelConfig,
     UserVoiceModelConfig,
     VoiceModelOption,
+    WebScraper,
 )
 from khoj.utils.helpers import ImageIntentType
 
@@ -69,10 +70,11 @@ class KhojUserAdmin(UserAdmin):
         "id",
         "email",
         "username",
+        "phone_number",
         "is_active",
+        "uuid",
         "is_staff",
         "is_superuser",
-        "phone_number",
     )
     search_fields = ("email", "username", "phone_number", "uuid")
     filter_horizontal = ("groups", "user_permissions")
@@ -124,6 +126,7 @@ class EntryAdmin(admin.ModelAdmin):
         "created_at",
         "updated_at",
         "user",
+        "agent",
         "file_source",
         "file_type",
         "file_name",
@@ -133,6 +136,7 @@ class EntryAdmin(admin.ModelAdmin):
     list_filter = (
         "file_type",
         "user__email",
+        "search_model__name",
     )
     ordering = ("-created_at",)
 
@@ -197,9 +201,24 @@ class ServerChatSettingsAdmin(admin.ModelAdmin):
     list_display = (
         "chat_default",
         "chat_advanced",
+        "web_scraper",
     )
 
 
+@admin.register(WebScraper)
+class WebScraperAdmin(admin.ModelAdmin):
+    list_display = (
+        "priority",
+        "name",
+        "type",
+        "api_key",
+        "api_url",
+        "created_at",
+    )
+    search_fields = ("name", "api_key", "api_url", "type")
+    ordering = ("priority",)
+
+
 @admin.register(Conversation)
 class ConversationAdmin(admin.ModelAdmin):
     list_display = (

src/khoj/database/management/commands/change_default_model.py

@@ -0,0 +1,182 @@
+import logging
+from typing import List
+
+from django.core.management.base import BaseCommand
+from django.db import transaction
+from django.db.models import Count, Q
+from tqdm import tqdm
+
+from khoj.database.adapters import get_default_search_model
+from khoj.database.models import (
+    Agent,
+    Entry,
+    KhojUser,
+    SearchModelConfig,
+    UserSearchModelConfig,
+)
+from khoj.processor.embeddings import EmbeddingsModel
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+class Command(BaseCommand):
+    help = "Convert all existing Entry objects to use a new default Search model."
+
+    def add_arguments(self, parser):
+        # Pass default SearchModelConfig ID
+        parser.add_argument(
+            "--search_model_id",
+            action="store",
+            help="ID of the SearchModelConfig object to set as the default search model for all existing Entry objects and UserSearchModelConfig objects.",
+            required=True,
+        )
+
+        # Set the apply flag to apply the new default Search model to all existing Entry objects and UserSearchModelConfig objects.
+        parser.add_argument(
+            "--apply",
+            action="store_true",
+            help="Apply the new default Search model to all existing Entry objects and UserSearchModelConfig objects. Otherwise, only display the number of Entry objects and UserSearchModelConfig objects that will be affected.",
+        )
+
+    def handle(self, *args, **options):
+        @transaction.atomic
+        def regenerate_entries(entry_filter: Q, embeddings_model: EmbeddingsModel, search_model: SearchModelConfig):
+            entries = Entry.objects.filter(entry_filter).all()
+            compiled_entries = [entry.compiled for entry in entries]
+            updated_entries: List[Entry] = []
+            try:
+                embeddings = embeddings_model.embed_documents(compiled_entries)
+
+            except Exception as e:
+                logger.error(f"Error embedding documents: {e}")
+                return
+
+            for i, entry in enumerate(tqdm(entries)):
+                entry.embeddings = embeddings[i]
+                entry.search_model_id = search_model.id
+                updated_entries.append(entry)
+
+            Entry.objects.bulk_update(updated_entries, ["embeddings", "search_model_id", "file_path"])
+
+        search_model_config_id = options.get("search_model_id")
+        apply = options.get("apply")
+
+        logger.info(f"SearchModelConfig ID: {search_model_config_id}")
+        logger.info(f"Apply: {apply}")
+
+        embeddings_model = dict()
+
+        search_models = SearchModelConfig.objects.all()
+        for model in search_models:
+            embeddings_model.update(
+                {
+                    model.name: EmbeddingsModel(
+                        model.bi_encoder,
+                        model.embeddings_inference_endpoint,
+                        model.embeddings_inference_endpoint_api_key,
+                        query_encode_kwargs=model.bi_encoder_query_encode_config,
+                        docs_encode_kwargs=model.bi_encoder_docs_encode_config,
+                        model_kwargs=model.bi_encoder_model_config,
+                    )
+                }
+            )
+
+        new_default_search_model_config = SearchModelConfig.objects.get(id=search_model_config_id)
+        logger.info(f"New default Search model: {new_default_search_model_config}")
+        user_search_model_configs_to_update = UserSearchModelConfig.objects.exclude(
+            setting_id=search_model_config_id
+        ).all()
+        logger.info(f"Number of UserSearchModelConfig objects to update: {user_search_model_configs_to_update.count()}")
+
+        for user_config in user_search_model_configs_to_update:
+            affected_user = user_config.user
+            entry_filter = Q(user=affected_user)
+            relevant_entries = Entry.objects.filter(entry_filter).all()
+            logger.info(f"Number of Entry objects to update for user {affected_user}: {relevant_entries.count()}")
+
+            if apply:
+                try:
+                    regenerate_entries(
+                        entry_filter,
+                        embeddings_model[new_default_search_model_config.name],
+                        new_default_search_model_config,
+                    )
+                    user_config.setting = new_default_search_model_config
+                    user_config.save()
+
+                    logger.info(
+                        f"Updated UserSearchModelConfig object for user {affected_user} to use the new default Search model."
+                    )
+                    logger.info(
+                        f"Updated {relevant_entries.count()} Entry objects for user {affected_user} to use the new default Search model."
+                    )
+
+                except Exception as e:
+                    logger.error(f"Error embedding documents: {e}")
+
+        logger.info("----")
+
+        # There are also plenty of users who have indexed documents without explicitly creating a UserSearchModelConfig object. You would have to migrate these users as well, if the default is different from search_model_config_id.
+        current_default = get_default_search_model()
+        if current_default.id != new_default_search_model_config.id:
+            users_without_user_search_model_config = KhojUser.objects.annotate(
+                user_search_model_config_count=Count("usersearchmodelconfig")
+            ).filter(user_search_model_config_count=0)
+
+            logger.info(f"Number of User objects to update: {users_without_user_search_model_config.count()}")
+            for user in users_without_user_search_model_config:
+                entry_filter = Q(user=user)
+                relevant_entries = Entry.objects.filter(entry_filter).all()
+                logger.info(f"Number of Entry objects to update for user {user}: {relevant_entries.count()}")
+
+                if apply:
+                    try:
+                        regenerate_entries(
+                            entry_filter,
+                            embeddings_model[new_default_search_model_config.name],
+                            new_default_search_model_config,
+                        )
+
+                        UserSearchModelConfig.objects.create(user=user, setting=new_default_search_model_config)
+
+                        logger.info(
+                            f"Created UserSearchModelConfig object for user {user} to use the new default Search model."
+                        )
+                        logger.info(
+                            f"Updated {relevant_entries.count()} Entry objects for user {user} to use the new default Search model."
+                        )
+                    except Exception as e:
+                        logger.error(f"Error embedding documents: {e}")
+        else:
+            logger.info("Default is the same as search_model_config_id.")
+
+        all_agents = Agent.objects.all()
+        logger.info(f"Number of Agent objects to update: {all_agents.count()}")
+        for agent in all_agents:
+            entry_filter = Q(agent=agent)
+            relevant_entries = Entry.objects.filter(entry_filter).all()
+            logger.info(f"Number of Entry objects to update for agent {agent}: {relevant_entries.count()}")
+
+            if apply:
+                try:
+                    regenerate_entries(
+                        entry_filter,
+                        embeddings_model[new_default_search_model_config.name],
+                        new_default_search_model_config,
+                    )
+                    logger.info(
+                        f"Updated {relevant_entries.count()} Entry objects for agent {agent} to use the new default Search model."
+                    )
+                except Exception as e:
+                    logger.error(f"Error embedding documents: {e}")
+        if apply and current_default.id != new_default_search_model_config.id:
+            # Get the existing default SearchModelConfig object and update its name
+            current_default.name = f"prev_default_{current_default.id}"
+            current_default.save()
+
+            # Update the new default SearchModelConfig object's name
+            new_default_search_model_config.name = "default"
+            new_default_search_model_config.save()
+        if not apply:
+            logger.info("Run the command with the --apply flag to apply the new default Search model.")

src/khoj/database/migrations/0068_alter_agent_output_modes.py

@@ -0,0 +1,24 @@
+# Generated by Django 5.0.8 on 2024-10-17 18:13
+
+import django.contrib.postgres.fields
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("database", "0067_alter_agent_style_icon"),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name="agent",
+            name="output_modes",
+            field=django.contrib.postgres.fields.ArrayField(
+                base_field=models.CharField(
+                    choices=[("text", "Text"), ("image", "Image"), ("automation", "Automation")], max_length=200
+                ),
+                default=list,
+                size=None,
+            ),
+        ),
+    ]

src/khoj/database/migrations/0069_webscraper_serverchatsettings_web_scraper.py

@@ -0,0 +1,89 @@
+# Generated by Django 5.0.8 on 2024-10-18 00:41
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("database", "0068_alter_agent_output_modes"),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name="WebScraper",
+            fields=[
+                ("id", models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name="ID")),
+                ("created_at", models.DateTimeField(auto_now_add=True)),
+                ("updated_at", models.DateTimeField(auto_now=True)),
+                (
+                    "name",
+                    models.CharField(
+                        blank=True,
+                        default=None,
+                        help_text="Friendly name. If not set, it will be set to the type of the scraper.",
+                        max_length=200,
+                        null=True,
+                        unique=True,
+                    ),
+                ),
+                (
+                    "type",
+                    models.CharField(
+                        choices=[
+                            ("Firecrawl", "Firecrawl"),
+                            ("Olostep", "Olostep"),
+                            ("Jina", "Jina"),
+                            ("Direct", "Direct"),
+                        ],
+                        default="Jina",
+                        max_length=20,
+                    ),
+                ),
+                (
+                    "api_key",
+                    models.CharField(
+                        blank=True,
+                        default=None,
+                        help_text="API key of the web scraper. Only set if scraper service requires an API key. Default is set from env var.",
+                        max_length=200,
+                        null=True,
+                    ),
+                ),
+                (
+                    "api_url",
+                    models.URLField(
+                        blank=True,
+                        default=None,
+                        help_text="API URL of the web scraper. Only set if scraper service on non-default URL.",
+                        null=True,
+                    ),
+                ),
+                (
+                    "priority",
+                    models.IntegerField(
+                        blank=True,
+                        default=None,
+                        help_text="Priority of the web scraper. Lower numbers run first.",
+                        null=True,
+                        unique=True,
+                    ),
+                ),
+            ],
+            options={
+                "abstract": False,
+            },
+        ),
+        migrations.AddField(
+            model_name="serverchatsettings",
+            name="web_scraper",
+            field=models.ForeignKey(
+                blank=True,
+                default=None,
+                null=True,
+                on_delete=django.db.models.deletion.CASCADE,
+                related_name="web_scraper",
+                to="database.webscraper",
+            ),
+        ),
+    ]

src/khoj/database/migrations/0070_alter_agent_input_tools_alter_agent_output_modes.py

@@ -0,0 +1,46 @@
+# Generated by Django 5.0.8 on 2024-10-21 05:16
+
+import django.contrib.postgres.fields
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("database", "0069_webscraper_serverchatsettings_web_scraper"),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name="agent",
+            name="input_tools",
+            field=django.contrib.postgres.fields.ArrayField(
+                base_field=models.CharField(
+                    choices=[
+                        ("general", "General"),
+                        ("online", "Online"),
+                        ("notes", "Notes"),
+                        ("summarize", "Summarize"),
+                        ("webpage", "Webpage"),
+                    ],
+                    max_length=200,
+                ),
+                blank=True,
+                default=list,
+                null=True,
+                size=None,
+            ),
+        ),
+        migrations.AlterField(
+            model_name="agent",
+            name="output_modes",
+            field=django.contrib.postgres.fields.ArrayField(
+                base_field=models.CharField(
+                    choices=[("text", "Text"), ("image", "Image"), ("automation", "Automation")], max_length=200
+                ),
+                blank=True,
+                default=list,
+                null=True,
+                size=None,
+            ),
+        ),
+    ]

src/khoj/database/migrations/0071_subscription_enabled_trial_at_and_more.py

@@ -0,0 +1,32 @@
+# Generated by Django 5.0.8 on 2024-10-20 19:24
+
+from django.db import migrations, models
+
+
+def set_enabled_trial_at(apps, schema_editor):
+    Subscription = apps.get_model("database", "Subscription")
+    for subscription in Subscription.objects.all():
+        subscription.enabled_trial_at = subscription.created_at
+        subscription.save()
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("database", "0070_alter_agent_input_tools_alter_agent_output_modes"),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name="subscription",
+            name="enabled_trial_at",
+            field=models.DateTimeField(blank=True, default=None, null=True),
+        ),
+        migrations.AlterField(
+            model_name="subscription",
+            name="type",
+            field=models.CharField(
+                choices=[("trial", "Trial"), ("standard", "Standard")], default="standard", max_length=20
+            ),
+        ),
+        migrations.RunPython(set_enabled_trial_at),
+    ]

src/khoj/database/migrations/0072_entry_search_model.py

@@ -0,0 +1,24 @@
+# Generated by Django 5.0.8 on 2024-10-21 21:09
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("database", "0071_subscription_enabled_trial_at_and_more"),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name="entry",
+            name="search_model",
+            field=models.ForeignKey(
+                blank=True,
+                default=None,
+                null=True,
+                on_delete=django.db.models.deletion.SET_NULL,
+                to="database.searchmodelconfig",
+            ),
+        ),
+    ]

src/khoj/database/models/__init__.py

@@ -1,3 +1,4 @@
+import os
 import re
 import uuid
 from random import choice
@@ -11,8 +12,6 @@ from django.dispatch import receiver
 from pgvector.django import VectorField
 from phonenumber_field.modelfields import PhoneNumberField
 
-from khoj.utils.helpers import ConversationCommand
-
 
 class BaseModel(models.Model):
     created_at = models.DateTimeField(auto_now_add=True)
@@ -74,9 +73,10 @@ class Subscription(BaseModel):
         STANDARD = "standard"
 
     user = models.OneToOneField(KhojUser, on_delete=models.CASCADE, related_name="subscription")
-    type = models.CharField(max_length=20, choices=Type.choices, default=Type.TRIAL)
+    type = models.CharField(max_length=20, choices=Type.choices, default=Type.STANDARD)
     is_recurring = models.BooleanField(default=False)
     renewal_date = models.DateTimeField(null=True, default=None, blank=True)
+    enabled_trial_at = models.DateTimeField(null=True, default=None, blank=True)
 
 
 class OpenAIProcessorConversationConfig(BaseModel):
@@ -174,14 +174,19 @@ class Agent(BaseModel):
         # These map to various ConversationCommand types
         TEXT = "text"
         IMAGE = "image"
+        AUTOMATION = "automation"
 
     creator = models.ForeignKey(
         KhojUser, on_delete=models.CASCADE, default=None, null=True, blank=True
     )  # Creator will only be null when the agents are managed by admin
     name = models.CharField(max_length=200)
     personality = models.TextField()
-    input_tools = ArrayField(models.CharField(max_length=200, choices=InputToolOptions.choices), default=list)
-    output_modes = ArrayField(models.CharField(max_length=200, choices=OutputModeOptions.choices), default=list)
+    input_tools = ArrayField(
+        models.CharField(max_length=200, choices=InputToolOptions.choices), default=list, null=True, blank=True
+    )
+    output_modes = ArrayField(
+        models.CharField(max_length=200, choices=OutputModeOptions.choices), default=list, null=True, blank=True
+    )
     managed_by_admin = models.BooleanField(default=False)
     chat_model = models.ForeignKey(ChatModelOptions, on_delete=models.CASCADE)
     slug = models.CharField(max_length=200, unique=True)
@@ -243,6 +248,79 @@ class GithubRepoConfig(BaseModel):
     github_config = models.ForeignKey(GithubConfig, on_delete=models.CASCADE, related_name="githubrepoconfig")
 
 
+class WebScraper(BaseModel):
+    class WebScraperType(models.TextChoices):
+        FIRECRAWL = "Firecrawl"
+        OLOSTEP = "Olostep"
+        JINA = "Jina"
+        DIRECT = "Direct"
+
+    name = models.CharField(
+        max_length=200,
+        default=None,
+        null=True,
+        blank=True,
+        unique=True,
+        help_text="Friendly name. If not set, it will be set to the type of the scraper.",
+    )
+    type = models.CharField(max_length=20, choices=WebScraperType.choices, default=WebScraperType.JINA)
+    api_key = models.CharField(
+        max_length=200,
+        default=None,
+        null=True,
+        blank=True,
+        help_text="API key of the web scraper. Only set if scraper service requires an API key. Default is set from env var.",
+    )
+    api_url = models.URLField(
+        max_length=200,
+        default=None,
+        null=True,
+        blank=True,
+        help_text="API URL of the web scraper. Only set if scraper service on non-default URL.",
+    )
+    priority = models.IntegerField(
+        default=None,
+        null=True,
+        blank=True,
+        unique=True,
+        help_text="Priority of the web scraper. Lower numbers run first.",
+    )
+
+    def clean(self):
+        error = {}
+        if self.name is None:
+            self.name = self.type.capitalize()
+        if self.api_url is None:
+            if self.type == self.WebScraperType.FIRECRAWL:
+                self.api_url = os.getenv("FIRECRAWL_API_URL", "https://api.firecrawl.dev")
+            elif self.type == self.WebScraperType.OLOSTEP:
+                self.api_url = os.getenv("OLOSTEP_API_URL", "https://agent.olostep.com/olostep-p2p-incomingAPI")
+            elif self.type == self.WebScraperType.JINA:
+                self.api_url = os.getenv("JINA_READER_API_URL", "https://r.jina.ai/")
+        if self.api_key is None:
+            if self.type == self.WebScraperType.FIRECRAWL:
+                self.api_key = os.getenv("FIRECRAWL_API_KEY")
+                if not self.api_key and self.api_url == "https://api.firecrawl.dev":
+                    error["api_key"] = "Set API key to use default Firecrawl. Get API key from https://firecrawl.dev."
+            elif self.type == self.WebScraperType.OLOSTEP:
+                self.api_key = os.getenv("OLOSTEP_API_KEY")
+                if self.api_key is None:
+                    error["api_key"] = "Set API key to use Olostep. Get API key from https://olostep.com/."
+            elif self.type == self.WebScraperType.JINA:
+                self.api_key = os.getenv("JINA_API_KEY")
+        if error:
+            raise ValidationError(error)
+
+    def save(self, *args, **kwargs):
+        self.clean()
+
+        if self.priority is None:
+            max_priority = WebScraper.objects.aggregate(models.Max("priority"))["priority__max"]
+            self.priority = max_priority + 1 if max_priority else 1
+
+        super().save(*args, **kwargs)
+
+
 class ServerChatSettings(BaseModel):
     chat_default = models.ForeignKey(
         ChatModelOptions, on_delete=models.CASCADE, default=None, null=True, blank=True, related_name="chat_default"
@@ -250,6 +328,9 @@ class ServerChatSettings(BaseModel):
     chat_advanced = models.ForeignKey(
         ChatModelOptions, on_delete=models.CASCADE, default=None, null=True, blank=True, related_name="chat_advanced"
     )
+    web_scraper = models.ForeignKey(
+        WebScraper, on_delete=models.CASCADE, default=None, null=True, blank=True, related_name="web_scraper"
+    )
 
 
 class LocalOrgConfig(BaseModel):
@@ -368,6 +449,7 @@ class UserVoiceModelConfig(BaseModel):
     setting = models.ForeignKey(VoiceModelOption, on_delete=models.CASCADE, default=None, null=True, blank=True)
 
 
+# TODO Delete this model once all users have been migrated to the server's default settings
 class UserSearchModelConfig(BaseModel):
     user = models.OneToOneField(KhojUser, on_delete=models.CASCADE)
     setting = models.ForeignKey(SearchModelConfig, on_delete=models.CASCADE)
@@ -454,6 +536,7 @@ class Entry(BaseModel):
     url = models.URLField(max_length=400, default=None, null=True, blank=True)
     hashed_value = models.CharField(max_length=100)
     corpus_id = models.UUIDField(default=uuid.uuid4, editable=False)
+    search_model = models.ForeignKey(SearchModelConfig, on_delete=models.SET_NULL, default=None, null=True, blank=True)
 
     def save(self, *args, **kwargs):
         if self.user and self.agent:

src/khoj/interface/web/assets/icons/agents.svg

@@ -14,5 +14,6 @@
         clip-rule="evenodd"
         fill-rule="evenodd"
         fill="currentColor"
+        stroke="currentColor"
         stroke-width="0.95844" />
 </svg>

src/khoj/interface/web/assets/icons/automation.svg

@@ -12,6 +12,7 @@
         fill-rule="evenodd"
         clip-rule="evenodd"
         fill-opacity="1"
+        stroke="currentColor"
         stroke-width="1.16584"
         stroke-dasharray="none"
     />

src/khoj/interface/web/assets/icons/chat.svg

@@ -0,0 +1,24 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+   width="800px"
+   height="800px"
+   viewBox="0 0 24 24"
+   fill="none"
+   version="1.1">
+  <path
+     d="m 14.024348,9.8497703 0.04627,1.9750167"
+     stroke="currentColor"
+     stroke-width="1.77073"
+     stroke-linecap="round" />
+  <path
+     d="m 9.6453624,9.7953624 0.046275,1.9750166"
+     stroke="currentColor"
+     stroke-width="1.77072"
+     stroke-linecap="round" />
+  <path
+     d="m 11.90538,2.3619994 c -5.4939109,0 -9.6890976,4.0608185 -9.6890976,9.8578926 0,1.477202 0.2658016,2.542848 0.6989332,3.331408 0.433559,0.789293 1.0740097,1.372483 1.9230615,1.798517 1.7362861,0.87132 4.1946007,1.018626 7.0671029,1.018626 0.317997,0 0.593711,0.167879 0.784844,0.458501 0.166463,0.253124 0.238617,0.552748 0.275566,0.787233 0.07263,0.460801 0.05871,1.030165 0.04785,1.474824 v 4.8e-5 l -2.26e-4,0.0091 c -0.0085,0.348246 -0.01538,0.634247 -0.0085,0.861186 0.105589,-0.07971 0.227925,-0.185287 0.36735,-0.31735 0.348613,-0.330307 0.743513,-0.767362 1.176607,-1.246635 l 0.07837,-0.08673 c 0.452675,-0.500762 0.941688,-1.037938 1.41216,-1.473209 0.453774,-0.419787 0.969948,-0.822472 1.476003,-0.953853 1.323661,-0.343655 2.330132,-0.904027 3.005749,-1.76381 0.658957,-0.838568 1.073167,-2.051868 1.073167,-3.898667 0,-5.7970748 -4.195186,-9.8578946 -9.689097,-9.8578946 z M 0.92440678,12.219892 c 0,-7.0067939 5.05909412,-11.47090892 10.98097322,-11.47090892 5.921878,0 10.980972,4.46411502 10.980972,11.47090892 0,2.172259 -0.497596,3.825405 -1.442862,5.028357 -0.928601,1.181693 -2.218843,1.837914 -3.664937,2.213334 -0.211641,0.05502 -0.53529,0.268579 -0.969874,0.670658 -0.417861,0.386604 -0.865628,0.876836 -1.324566,1.384504 l -0.09131,0.101202 c -0.419252,0.464136 -0.849637,0.94059 -1.239338,1.309807 -0.210187,0.199169 -0.425281,0.383422 -0.635348,0.523424 -0.200911,0.133819 -0.449635,0.263369 -0.716376,0.281474 -0.327812,0.02226 -0.61539,-0.149209 -0.804998,-0.457293 -0.157614,-0.255993 -0.217622,-0.557143 -0.246564,-0.778198 -0.0542,-0.414027 -0.04101,-0.933065 -0.03027,-1.355183 l 0.0024,-0.0922 c 0.01099,-0.463865 0.01489,-0.820507 -0.01611,-1.06842 C 8.9434608,19.975238 6.3139711,19.828758 4.356743,18.84659 3.3355029,18.334136 2.4624526,17.578678 1.8500164,16.463713 1.2372016,15.348029 0.92459928,13.943803 0.92459928,12.219967 Z"
+     clip-rule="evenodd"
+     stroke-width="0.360886"
+     fill="currentColor"
+     fill-rule="evenodd"
+     fill-opacity="1" />
+</svg>

src/khoj/interface/web/login.html

@@ -46,33 +46,16 @@
                 <p>Transform the way you think, create, and remember</p>
                 <div class="features">
                     <div class="feature">
-                        <svg viewBox="0 0 24 24" width="24" height="24" stroke="currentColor" stroke-width="2"
-                            fill="none">
-                            <path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z" />
-                            <path d="M14 2v6h6" />
-                            <path d="M16 13H8" />
-                            <path d="M16 17H8" />
-                            <path d="M10 9H8" />
-                        </svg>
+                        <img src="/static/assets/icons/chat.svg" alt="Chat" width="24" height="24">
                         <span>Get answers across your documents and the internet</span>
                     </div>
                     <div class="feature">
-                        <svg viewBox="0 0 24 24" width="24" height="24" stroke="currentColor" stroke-width="2"
-                            fill="none">
-                            <path
-                                d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z" />
-                            <path d="M3.3 7l8.7 5 8.7-5" />
-                        </svg>
-                        <span>Go deeper in the topics personal to you</span>
+                        <img src="/static/assets/icons/agents.svg" alt="Agents" width="24" height="24">
+                        <span>Create agents with the knowledge and tools to take on any role</span>
                     </div>
                     <div class="feature">
-                        <svg viewBox="0 0 24 24" width="24" height="24" stroke="currentColor" stroke-width="2"
-                            fill="none">
-                            <path d="M12 2L2 7l10 5 10-5-10-5z" />
-                            <path d="M2 17l10 5 10-5" />
-                            <path d="M2 12l10 5 10-5" />
-                        </svg>
-                        <span>Use specialized agents</span>
+                        <img src="/static/assets/icons/automation.svg" alt="Automations" width="24" height="24">
+                        <span>Automate away repetitive research</span>
                     </div>
                 </div>
             </div>
@@ -160,6 +143,12 @@
             height: 24px;
             stroke: white;
         }
+        .feature img {
+            width: 24px;
+            height: 24px;
+            filter: invert(100%) sepia(0%) saturate(0%) hue-rotate(0deg) brightness(100%) contrast(100%);
+            stroke: white;
+        }
 
         #login-modal {
             display: grid;

src/khoj/processor/content/images/image_to_entries.py

@@ -64,6 +64,8 @@ class ImageToEntries(TextToEntries):
                     tmp_file = f"tmp_image_file_{timestamp_now}.png"
                 elif image_file.endswith(".jpg") or image_file.endswith(".jpeg"):
                     tmp_file = f"tmp_image_file_{timestamp_now}.jpg"
+                elif image_file.endswith(".webp"):
+                    tmp_file = f"tmp_image_file_{timestamp_now}.webp"
                 with open(tmp_file, "wb") as f:
                     bytes = image_files[image_file]
                     f.write(bytes)

src/khoj/processor/content/pdf/pdf_to_entries.py

@@ -67,7 +67,7 @@ class PdfToEntries(TextToEntries):
                     bytes = pdf_files[pdf_file]
                     f.write(bytes)
                 try:
-                    loader = PyMuPDFLoader(f"{tmp_file}", extract_images=True)
+                    loader = PyMuPDFLoader(f"{tmp_file}", extract_images=False)
                     pdf_entries_per_file = [page.page_content for page in loader.load()]
                 except ImportError:
                     loader = PyMuPDFLoader(f"{tmp_file}")

src/khoj/processor/content/text_to_entries.py

@@ -12,7 +12,8 @@ from tqdm import tqdm
 from khoj.database.adapters import (
     EntryAdapters,
     FileObjectAdapters,
-    get_user_search_model_or_default,
+    get_default_search_model,
+    get_user_default_search_model,
 )
 from khoj.database.models import Entry as DbEntry
 from khoj.database.models import EntryDates, KhojUser
@@ -148,10 +149,10 @@ class TextToEntries(ABC):
                 hashes_to_process |= hashes_for_file - existing_entry_hashes
 
         embeddings = []
+        model = get_user_default_search_model(user=user)
         with timer("Generated embeddings for entries to add to database in", logger):
             entries_to_process = [hash_to_current_entries[hashed_val] for hashed_val in hashes_to_process]
             data_to_embed = [getattr(entry, key) for entry in entries_to_process]
-            model = get_user_search_model_or_default(user)
             embeddings += self.embeddings_model[model.name].embed_documents(data_to_embed)
 
         added_entries: list[DbEntry] = []
@@ -177,6 +178,7 @@ class TextToEntries(ABC):
                             file_type=file_type,
                             hashed_value=entry_hash,
                             corpus_id=entry.corpus_id,
+                            search_model=model,
                         )
                     )
                 try:

src/khoj/processor/conversation/google/gemini_chat.py

@@ -6,14 +6,17 @@ from typing import Dict, Optional
 
 from langchain.schema import ChatMessage
 
-from khoj.database.models import Agent, KhojUser
+from khoj.database.models import Agent, ChatModelOptions, KhojUser
 from khoj.processor.conversation import prompts
 from khoj.processor.conversation.google.utils import (
     format_messages_for_gemini,
     gemini_chat_completion_with_backoff,
     gemini_completion_with_backoff,
 )
-from khoj.processor.conversation.utils import generate_chatml_messages_with_context
+from khoj.processor.conversation.utils import (
+    construct_structured_message,
+    generate_chatml_messages_with_context,
+)
 from khoj.utils.helpers import ConversationCommand, is_none_or_empty
 from khoj.utils.rawconfig import LocationData
 
@@ -29,6 +32,8 @@ def extract_questions_gemini(
     max_tokens=None,
     location_data: LocationData = None,
     user: KhojUser = None,
+    query_images: Optional[list[str]] = None,
+    vision_enabled: bool = False,
     personality_context: Optional[str] = None,
 ):
     """
@@ -70,17 +75,17 @@ def extract_questions_gemini(
         text=text,
     )
 
-    messages = [ChatMessage(content=prompt, role="user")]
+    prompt = construct_structured_message(
+        message=prompt,
+        images=query_images,
+        model_type=ChatModelOptions.ModelType.GOOGLE,
+        vision_enabled=vision_enabled,
+    )
 
-    model_kwargs = {"response_mime_type": "application/json"}
+    messages = [ChatMessage(content=prompt, role="user"), ChatMessage(content=system_prompt, role="system")]
 
-    response = gemini_completion_with_backoff(
-        messages=messages,
-        system_prompt=system_prompt,
-        model_name=model,
-        temperature=temperature,
-        api_key=api_key,
-        model_kwargs=model_kwargs,
+    response = gemini_send_message_to_model(
+        messages, api_key, model, response_type="json_object", temperature=temperature
     )
 
     # Extract, Clean Message from Gemini's Response
@@ -102,7 +107,7 @@ def extract_questions_gemini(
     return questions
 
 
-def gemini_send_message_to_model(messages, api_key, model, response_type="text"):
+def gemini_send_message_to_model(messages, api_key, model, response_type="text", temperature=0, model_kwargs=None):
     """
     Send message to model
     """
@@ -114,7 +119,12 @@ def gemini_send_message_to_model(messages, api_key, model, response_type="text")
 
     # Get Response from Gemini
     return gemini_completion_with_backoff(
-        messages=messages, system_prompt=system_prompt, model_name=model, api_key=api_key, model_kwargs=model_kwargs
+        messages=messages,
+        system_prompt=system_prompt,
+        model_name=model,
+        api_key=api_key,
+        temperature=temperature,
+        model_kwargs=model_kwargs,
     )
 
 
@@ -134,6 +144,8 @@ def converse_gemini(
     location_data: LocationData = None,
     user_name: str = None,
     agent: Agent = None,
+    query_images: Optional[list[str]] = None,
+    vision_available: bool = False,
 ):
     """
     Converse with user using Google's Gemini
@@ -192,6 +204,9 @@ def converse_gemini(
         model_name=model,
         max_prompt_size=max_prompt_size,
         tokenizer_name=tokenizer_name,
+        query_images=query_images,
+        vision_enabled=vision_available,
+        model_type=ChatModelOptions.ModelType.GOOGLE,
     )
 
     messages, system_prompt = format_messages_for_gemini(messages, system_prompt)

src/khoj/processor/conversation/google/utils.py

@@ -1,8 +1,11 @@
 import logging
 import random
+from io import BytesIO
 from threading import Thread
 
 import google.generativeai as genai
+import PIL.Image
+import requests
 from google.generativeai.types.answer_types import FinishReason
 from google.generativeai.types.generation_types import StopCandidateException
 from google.generativeai.types.safety_types import (
@@ -53,14 +56,14 @@ def gemini_completion_with_backoff(
         },
     )
 
-    formatted_messages = [{"role": message.role, "parts": [message.content]} for message in messages]
+    formatted_messages = [{"role": message.role, "parts": message.content} for message in messages]
 
     # Start chat session. All messages up to the last are considered to be part of the chat history
     chat_session = model.start_chat(history=formatted_messages[0:-1])
 
     try:
         # Generate the response. The last message is considered to be the current prompt
-        aggregated_response = chat_session.send_message(formatted_messages[-1]["parts"][0])
+        aggregated_response = chat_session.send_message(formatted_messages[-1]["parts"])
         return aggregated_response.text
     except StopCandidateException as e:
         response_message, _ = handle_gemini_response(e.args)
@@ -117,11 +120,11 @@ def gemini_llm_thread(g, messages, system_prompt, model_name, temperature, api_k
             },
         )
 
-        formatted_messages = [{"role": message.role, "parts": [message.content]} for message in messages]
+        formatted_messages = [{"role": message.role, "parts": message.content} for message in messages]
         # all messages up to the last are considered to be part of the chat history
         chat_session = model.start_chat(history=formatted_messages[0:-1])
         # the last message is considered to be the current prompt
-        for chunk in chat_session.send_message(formatted_messages[-1]["parts"][0], stream=True):
+        for chunk in chat_session.send_message(formatted_messages[-1]["parts"], stream=True):
             message, stopped = handle_gemini_response(chunk.candidates, chunk.prompt_feedback)
             message = message or chunk.text
             g.send(message)
@@ -148,6 +151,10 @@ def handle_gemini_response(candidates, prompt_feedback=None):
     elif candidates[0].finish_reason == FinishReason.SAFETY:
         message = generate_safety_response(candidates[0].safety_ratings)
         stopped = True
+    # Check if finish reason is empty, therefore generation is in progress
+    elif not candidates[0].finish_reason:
+        message = None
+        stopped = False
     # Check if the response was stopped due to reaching maximum token limit or other reasons
     elif candidates[0].finish_reason != FinishReason.STOP:
         message = f"\nI can't talk further about that because of **{candidates[0].finish_reason.name} issue.**"
@@ -187,14 +194,6 @@ def generate_safety_response(safety_ratings):
 
 
 def format_messages_for_gemini(messages: list[ChatMessage], system_prompt: str = None) -> tuple[list[str], str]:
-    if len(messages) == 1:
-        messages[0].role = "user"
-        return messages, system_prompt
-
-    for message in messages:
-        if message.role == "assistant":
-            message.role = "model"
-
     # Extract system message
     system_prompt = system_prompt or ""
     for message in messages.copy():
@@ -203,4 +202,31 @@ def format_messages_for_gemini(messages: list[ChatMessage], system_prompt: str =
             messages.remove(message)
     system_prompt = None if is_none_or_empty(system_prompt) else system_prompt
 
+    for message in messages:
+        # Convert message content to string list from chatml dictionary list
+        if isinstance(message.content, list):
+            # Convert image_urls to PIL.Image and place them at beginning of list (better for Gemini)
+            message.content = [
+                get_image_from_url(item["image_url"]["url"]) if item["type"] == "image_url" else item["text"]
+                for item in sorted(message.content, key=lambda x: 0 if x["type"] == "image_url" else 1)
+            ]
+        elif isinstance(message.content, str):
+            message.content = [message.content]
+
+        if message.role == "assistant":
+            message.role = "model"
+
+    if len(messages) == 1:
+        messages[0].role = "user"
+
     return messages, system_prompt
+
+
+def get_image_from_url(image_url: str) -> PIL.Image:
+    try:
+        response = requests.get(image_url)
+        response.raise_for_status()  # Check if the request was successful
+        return PIL.Image.open(BytesIO(response.content))
+    except requests.exceptions.RequestException as e:
+        logger.error(f"Failed to get image from URL {image_url}: {e}")
+        return None

src/khoj/processor/conversation/helpers.py

@@ -1,127 +0,0 @@
-from fastapi import HTTPException
-
-from khoj.database.adapters import ConversationAdapters, ais_user_subscribed
-from khoj.database.models import ChatModelOptions, KhojUser
-from khoj.processor.conversation.anthropic.anthropic_chat import (
-    anthropic_send_message_to_model,
-)
-from khoj.processor.conversation.google.gemini_chat import gemini_send_message_to_model
-from khoj.processor.conversation.offline.chat_model import send_message_to_model_offline
-from khoj.processor.conversation.openai.gpt import send_message_to_model
-from khoj.processor.conversation.utils import generate_chatml_messages_with_context
-from khoj.utils import state
-from khoj.utils.config import OfflineChatProcessorModel
-
-
-async def send_message_to_model_wrapper(
-    message: str,
-    system_message: str = "",
-    response_type: str = "text",
-    chat_model_option: ChatModelOptions = None,
-    user: KhojUser = None,
-    uploaded_image_url: str = None,
-):
-    conversation_config: ChatModelOptions = (
-        chat_model_option or await ConversationAdapters.aget_default_conversation_config(user)
-    )
-
-    vision_available = conversation_config.vision_enabled
-    if not vision_available and uploaded_image_url:
-        vision_enabled_config = await ConversationAdapters.aget_vision_enabled_config()
-        if vision_enabled_config:
-            conversation_config = vision_enabled_config
-            vision_available = True
-
-    subscribed = await ais_user_subscribed(user)
-    chat_model = conversation_config.chat_model
-    max_tokens = (
-        conversation_config.subscribed_max_prompt_size
-        if subscribed and conversation_config.subscribed_max_prompt_size
-        else conversation_config.max_prompt_size
-    )
-    tokenizer = conversation_config.tokenizer
-    model_type = conversation_config.model_type
-    vision_available = conversation_config.vision_enabled
-
-    if model_type == ChatModelOptions.ModelType.OFFLINE:
-        if state.offline_chat_processor_config is None or state.offline_chat_processor_config.loaded_model is None:
-            state.offline_chat_processor_config = OfflineChatProcessorModel(chat_model, max_tokens)
-
-        loaded_model = state.offline_chat_processor_config.loaded_model
-        truncated_messages = generate_chatml_messages_with_context(
-            user_message=message,
-            system_message=system_message,
-            model_name=chat_model,
-            loaded_model=loaded_model,
-            tokenizer_name=tokenizer,
-            max_prompt_size=max_tokens,
-            vision_enabled=vision_available,
-            model_type=conversation_config.model_type,
-        )
-
-        return send_message_to_model_offline(
-            messages=truncated_messages,
-            loaded_model=loaded_model,
-            model=chat_model,
-            max_prompt_size=max_tokens,
-            streaming=False,
-            response_type=response_type,
-        )
-
-    elif model_type == ChatModelOptions.ModelType.OPENAI:
-        openai_chat_config = conversation_config.openai_config
-        api_key = openai_chat_config.api_key
-        api_base_url = openai_chat_config.api_base_url
-        truncated_messages = generate_chatml_messages_with_context(
-            user_message=message,
-            system_message=system_message,
-            model_name=chat_model,
-            max_prompt_size=max_tokens,
-            tokenizer_name=tokenizer,
-            vision_enabled=vision_available,
-            uploaded_image_url=uploaded_image_url,
-            model_type=conversation_config.model_type,
-        )
-
-        return send_message_to_model(
-            messages=truncated_messages,
-            api_key=api_key,
-            model=chat_model,
-            response_type=response_type,
-            api_base_url=api_base_url,
-        )
-    elif model_type == ChatModelOptions.ModelType.ANTHROPIC:
-        api_key = conversation_config.openai_config.api_key
-        truncated_messages = generate_chatml_messages_with_context(
-            user_message=message,
-            system_message=system_message,
-            model_name=chat_model,
-            max_prompt_size=max_tokens,
-            tokenizer_name=tokenizer,
-            vision_enabled=vision_available,
-            uploaded_image_url=uploaded_image_url,
-            model_type=conversation_config.model_type,
-        )
-
-        return anthropic_send_message_to_model(
-            messages=truncated_messages,
-            api_key=api_key,
-            model=chat_model,
-        )
-    elif model_type == ChatModelOptions.ModelType.GOOGLE:
-        api_key = conversation_config.openai_config.api_key
-        truncated_messages = generate_chatml_messages_with_context(
-            user_message=message,
-            system_message=system_message,
-            model_name=chat_model,
-            max_prompt_size=max_tokens,
-            tokenizer_name=tokenizer,
-            vision_enabled=vision_available,
-            uploaded_image_url=uploaded_image_url,
-        )
-
-        return gemini_send_message_to_model(
-            messages=truncated_messages, api_key=api_key, model=chat_model, response_type=response_type
-        )
-    else:
-        raise HTTPException(status_code=500, detail="Invalid conversation config")

src/khoj/processor/conversation/openai/gpt.py

@@ -30,7 +30,7 @@ def extract_questions(
     api_base_url=None,
     location_data: LocationData = None,
     user: KhojUser = None,
-    uploaded_image_url: Optional[str] = None,
+    query_images: Optional[list[str]] = None,
     vision_enabled: bool = False,
     personality_context: Optional[str] = None,
 ):
@@ -74,7 +74,7 @@ def extract_questions(
 
     prompt = construct_structured_message(
         message=prompt,
-        image_url=uploaded_image_url,
+        images=query_images,
         model_type=ChatModelOptions.ModelType.OPENAI,
         vision_enabled=vision_enabled,
     )
@@ -136,7 +136,7 @@ def converse(
     location_data: LocationData = None,
     user_name: str = None,
     agent: Agent = None,
-    image_url: Optional[str] = None,
+    query_images: Optional[list[str]] = None,
     vision_available: bool = False,
 ):
     """
@@ -196,7 +196,7 @@ def converse(
         model_name=model,
         max_prompt_size=max_prompt_size,
         tokenizer_name=tokenizer_name,
-        uploaded_image_url=image_url,
+        query_images=query_images,
         vision_enabled=vision_available,
         model_type=ChatModelOptions.ModelType.OPENAI,
     )

src/khoj/processor/conversation/prompts.py

@@ -49,7 +49,7 @@ Instructions:\n{bio}
 # Prompt forked from https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models
 gemini_verbose_language_personality = """
 All questions should be answered comprehensively with details, unless the user requests a concise response specifically.
-Respond in the same language as the query.
+Respond in the same language as the query. Use markdown to format your responses.
 """.strip()
 
 ## General Conversation
@@ -176,6 +176,150 @@ Improved Prompt:
 """.strip()
 )
 
+## Diagram Generation
+## --
+
+improve_diagram_description_prompt = PromptTemplate.from_template(
+    """
+you are an architect working with a novice artist using a diagramming tool.
+{personality_context}
+
+you need to convert the user's query to a description format that the novice artist can use very well. you are allowed to use primitives like
+- text
+- rectangle
+- diamond
+- ellipse
+- line
+- arrow
+- frame
+
+use these primitives to describe what sort of diagram the drawer should create. the artist must recreate the diagram every time, so include all relevant prior information in your description.
+
+use simple, concise language.
+
+Today's Date: {current_date}
+User's Location: {location}
+
+User's Notes:
+{references}
+
+Online References:
+{online_results}
+
+Conversation Log:
+{chat_history}
+
+Query: {query}
+
+
+""".strip()
+)
+
+excalidraw_diagram_generation_prompt = PromptTemplate.from_template(
+    """
+You are a program manager with the ability to describe diagrams to compose in professional, fine detail.
+{personality_context}
+
+You need to create a declarative description of the diagram and relevant components, using this base schema. Use the `label` property to specify the text to be rendered in the respective elements. Always use light colors for the `backgroundColor` property, like white, or light blue, green, red. "type", "x", "y", "id", are required properties for all elements.
+
+{{
+    type: string,
+    x: number,
+    y: number,
+    strokeColor: string,
+    backgroundColor: string,
+    width: number,
+    height: number,
+    id: string,
+    label: {{
+        text: string,
+    }}
+}}
+
+Valid types:
+- text
+- rectangle
+- diamond
+- ellipse
+- line
+- arrow
+
+For arrows and lines, you can use the `points` property to specify the start and end points of the arrow. You may also use the `label` property to specify the text to be rendered. You may use the `start` and `end` properties to connect the linear elements to other elements. The start and end point can either be the ID to map to an existing object, or the `type` to create a new object. Mapping to an existing object is useful if you want to connect it to multiple objects. Lines and arrows can only start and end at rectangle, text, diamond, or ellipse elements.
+
+{{
+    type: "arrow",
+    id: string,
+    x: number,
+    y: number,
+    width: number,
+    height: number,
+    strokeColor: string,
+    start: {{
+        id: string,
+        type: string,
+    }},
+    end: {{
+        id: string,
+        type: string,
+    }},
+    label: {{
+        text: string,
+    }}
+    points: [
+        [number, number],
+        [number, number],
+    ]
+}}
+
+For text, you must use the `text` property to specify the text to be rendered. You may also use `fontSize` property to specify the font size of the text. Only use the `text` element for titles, subtitles, and overviews. For labels, use the `label` property in the respective elements.
+
+{{
+    type: "text",
+    id: string,
+    x: number,
+    y: number,
+    fontSize: number,
+    text: string,
+}}
+
+For frames, use the `children` property to specify the elements that are inside the frame by their ids.
+
+{{
+    type: "frame",
+    id: string,
+    x: number,
+    y: number,
+    width: number,
+    height: number,
+    name: string,
+    children: [
+        string
+    ]
+}}
+
+Here's an example of a valid diagram:
+
+Design Description: Create a diagram describing a circular development process with 3 stages: design, implementation and feedback. The design stage is connected to the implementation stage and the implementation stage is connected to the feedback stage and the feedback stage is connected to the design stage. Each stage should be labeled with the stage name.
+
+Response:
+
+[
+    {{"type":"text","x":-150,"y":50,"width":300,"height":40,"id":"title_text","text":"Circular Development Process","fontSize":24}},
+    {{"type":"ellipse","x":-169,"y":113,"width":188,"height":202,"id":"design_ellipse", "label": {{"text": "Design"}}}},
+    {{"type":"ellipse","x":62,"y":394,"width":186,"height":188,"id":"implement_ellipse", "label": {{"text": "Implement"}}}},
+    {{"type":"ellipse","x":-348,"y":430,"width":184,"height":170,"id":"feedback_ellipse", "label": {{"text": "Feedback"}}}},
+    {{"type":"arrow","x":21,"y":273,"id":"design_to_implement_arrow","points":[[0,0],[86,105]],"start":{{"id":"design_ellipse"}}, "end":{{"id":"implement_ellipse"}}}},
+    {{"type":"arrow","x":50,"y":519,"id":"implement_to_feedback_arrow","points":[[0,0],[-198,-6]],"start":{{"id":"implement_ellipse"}}, "end":{{"id":"feedback_ellipse"}}}},
+    {{"type":"arrow","x":-228,"y":417,"id":"feedback_to_design_arrow","points":[[0,0],[85,-123]],"start":{{"id":"feedback_ellipse"}}, "end":{{"id":"design_ellipse"}}}},
+]
+
+Create a detailed diagram from the provided context and user prompt below. Return a valid JSON object:
+
+Diagram Description: {query}
+
+""".strip()
+)
+
 ## Online Search Conversation
 ## --
 online_search_conversation = PromptTemplate.from_template(

src/khoj/processor/conversation/utils.py

@@ -168,7 +168,7 @@ def save_to_conversation_log(
     client_application: ClientApplication = None,
     conversation_id: str = None,
     automation_id: str = None,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
 ):
     user_message_time = user_message_time or datetime.now().strftime("%Y-%m-%d %H:%M:%S")
     updated_conversation = message_to_log(
@@ -176,7 +176,7 @@ def save_to_conversation_log(
         chat_response=chat_response,
         user_message_metadata={
             "created": user_message_time,
-            "uploadedImageData": uploaded_image_url,
+            "images": query_images,
         },
         khoj_message_metadata={
             "context": compiled_references,
@@ -205,10 +205,18 @@ Khoj: "{inferred_queries if ("text-to-image" in intent_type) else chat_response}
     )
 
 
-# Format user and system messages to chatml format
-def construct_structured_message(message, image_url, model_type, vision_enabled):
-    if image_url and vision_enabled and model_type == ChatModelOptions.ModelType.OPENAI:
-        return [{"type": "text", "text": message}, {"type": "image_url", "image_url": {"url": image_url}}]
+def construct_structured_message(message: str, images: list[str], model_type: str, vision_enabled: bool):
+    """
+    Format messages into appropriate multimedia format for supported chat model types
+    """
+    if not images or not vision_enabled:
+        return message
+
+    if model_type in [ChatModelOptions.ModelType.OPENAI, ChatModelOptions.ModelType.GOOGLE]:
+        return [
+            {"type": "text", "text": message},
+            *[{"type": "image_url", "image_url": {"url": image}} for image in images],
+        ]
     return message
 
 
@@ -220,7 +228,7 @@ def generate_chatml_messages_with_context(
     loaded_model: Optional[Llama] = None,
     max_prompt_size=None,
     tokenizer_name=None,
-    uploaded_image_url=None,
+    query_images=None,
     vision_enabled=False,
     model_type="",
 ):
@@ -241,11 +249,12 @@ def generate_chatml_messages_with_context(
         message_notes = f'\n\n Notes:\n{chat.get("context")}' if chat.get("context") else "\n"
         role = "user" if chat["by"] == "you" else "assistant"
 
+        if chat["by"] == "khoj" and "excalidraw" in chat["intent"].get("type"):
+            message_content = chat.get("intent").get("inferred-queries")[0] + message_notes
+        else:
             message_content = chat["message"] + message_notes
 
-        message_content = construct_structured_message(
-            message_content, chat.get("uploadedImageData"), model_type, vision_enabled
-        )
+        message_content = construct_structured_message(message_content, chat.get("images"), model_type, vision_enabled)
 
         reconstructed_message = ChatMessage(content=message_content, role=role)
 
@@ -258,7 +267,7 @@ def generate_chatml_messages_with_context(
     if not is_none_or_empty(user_message):
         messages.append(
             ChatMessage(
-                content=construct_structured_message(user_message, uploaded_image_url, model_type, vision_enabled),
+                content=construct_structured_message(user_message, query_images, model_type, vision_enabled),
                 role="user",
             )
         )
@@ -282,7 +291,6 @@ def truncate_messages(
     tokenizer_name=None,
 ) -> list[ChatMessage]:
     """Truncate messages to fit within max prompt size supported by model"""
-
     default_tokenizer = "gpt-4o"
 
     try:
@@ -312,6 +320,7 @@ def truncate_messages(
             system_message = messages.pop(idx)
             break
 
+    # TODO: Handle truncation of multi-part message.content, i.e when message.content is a list[dict] rather than a string
     system_message_tokens = (
         len(encoder.encode(system_message.content)) if system_message and type(system_message.content) == str else 0
     )

src/khoj/processor/image/generate.py

@@ -26,7 +26,7 @@ async def text_to_image(
     references: List[Dict[str, Any]],
     online_results: Dict[str, Any],
     send_status_func: Optional[Callable] = None,
-    uploaded_image_url: Optional[str] = None,
+    query_images: Optional[List[str]] = None,
     agent: Agent = None,
 ):
     status_code = 200
@@ -65,7 +65,7 @@ async def text_to_image(
         note_references=references,
         online_results=online_results,
         model_type=text_to_image_config.model_type,
-        uploaded_image_url=uploaded_image_url,
+        query_images=query_images,
         user=user,
         agent=agent,
     )
@@ -87,18 +87,18 @@ async def text_to_image(
             if "content_policy_violation" in e.message:
                 logger.error(f"Image Generation blocked by OpenAI: {e}")
                 status_code = e.status_code  # type: ignore
-                message = f"Image generation blocked by OpenAI: {e.message}"  # type: ignore
+                message = f"Image generation blocked by OpenAI due to policy violation"  # type: ignore
                 yield image_url or image, status_code, message, intent_type.value
                 return
             else:
                 logger.error(f"Image Generation failed with {e}", exc_info=True)
-                message = f"Image generation failed with OpenAI error: {e.message}"  # type: ignore
+                message = f"Image generation failed using OpenAI"  # type: ignore
                 status_code = e.status_code  # type: ignore
                 yield image_url or image, status_code, message, intent_type.value
                 return
         except requests.RequestException as e:
             logger.error(f"Image Generation failed with {e}", exc_info=True)
-            message = f"Image generation using {text2image_model} via {text_to_image_config.model_type} failed with error: {e}"
+            message = f"Image generation using {text2image_model} via {text_to_image_config.model_type} failed due to a network error."
             status_code = 502
             yield image_url or image, status_code, message, intent_type.value
             return

src/khoj/processor/tools/online_search.py

@@ -10,14 +10,22 @@ import aiohttp
 from bs4 import BeautifulSoup
 from markdownify import markdownify
 
-from khoj.database.models import Agent, KhojUser
+from khoj.database.adapters import ConversationAdapters
+from khoj.database.models import Agent, KhojUser, WebScraper
+from khoj.processor.conversation import prompts
 from khoj.routers.helpers import (
     ChatEvent,
     extract_relevant_info,
     generate_online_subqueries,
     infer_webpage_urls,
 )
-from khoj.utils.helpers import is_internet_connected, is_none_or_empty, timer
+from khoj.utils.helpers import (
+    is_env_var_true,
+    is_internal_url,
+    is_internet_connected,
+    is_none_or_empty,
+    timer,
+)
 from khoj.utils.rawconfig import LocationData
 
 logger = logging.getLogger(__name__)
@@ -25,12 +33,11 @@ logger = logging.getLogger(__name__)
 SERPER_DEV_API_KEY = os.getenv("SERPER_DEV_API_KEY")
 SERPER_DEV_URL = "https://google.serper.dev/search"
 
-JINA_READER_API_URL = "https://r.jina.ai/"
 JINA_SEARCH_API_URL = "https://s.jina.ai/"
 JINA_API_KEY = os.getenv("JINA_API_KEY")
 
-OLOSTEP_API_KEY = os.getenv("OLOSTEP_API_KEY")
-OLOSTEP_API_URL = "https://agent.olostep.com/olostep-p2p-incomingAPI"
+FIRECRAWL_USE_LLM_EXTRACT = is_env_var_true("FIRECRAWL_USE_LLM_EXTRACT")
+
 OLOSTEP_QUERY_PARAMS = {
     "timeout": 35,  # seconds
     "waitBeforeScraping": 1,  # seconds
@@ -54,11 +61,10 @@ async def search_online(
     conversation_history: dict,
     location: LocationData,
     user: KhojUser,
-    subscribed: bool = False,
     send_status_func: Optional[Callable] = None,
     custom_filters: List[str] = [],
     max_webpages_to_read: int = DEFAULT_MAX_WEBPAGES_TO_READ,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
     agent: Agent = None,
 ):
     query += " ".join(custom_filters)
@@ -69,7 +75,7 @@ async def search_online(
 
     # Breakdown the query into subqueries to get the correct answer
     subqueries = await generate_online_subqueries(
-        query, conversation_history, location, user, uploaded_image_url=uploaded_image_url, agent=agent
+        query, conversation_history, location, user, query_images=query_images, agent=agent
     )
     response_dict = {}
 
@@ -86,33 +92,31 @@ async def search_online(
         search_results = await asyncio.gather(*search_tasks)
         response_dict = {subquery: search_result for subquery, search_result in search_results}
 
-    # Gather distinct web page data from organic results of each subquery without an instant answer.
+    # Gather distinct web pages from organic results for subqueries without an instant answer.
     # Content of web pages is directly available when Jina is used for search.
-    webpages = {
-        (organic.get("link"), subquery, organic.get("content"))
-        for subquery in response_dict
-        for organic in response_dict[subquery].get("organic", [])[:max_webpages_to_read]
-        if "answerBox" not in response_dict[subquery]
-    }
+    webpages = set()
+    for subquery in response_dict:
+        for organic in response_dict[subquery].get("organic", [])[:max_webpages_to_read]:
+            if "answerBox" not in response_dict[subquery]:
+                webpages.add(organic.get("link"), {"queries": {subquery}, "content": organic.get("content")})
 
     # Read, extract relevant info from the retrieved web pages
     if webpages:
-        webpage_links = set([link for link, _, _ in webpages])
-        logger.info(f"Reading web pages at: {list(webpage_links)}")
+        logger.info(f"Reading web pages at: {webpages.keys()}")
         if send_status_func:
-            webpage_links_str = "\n- " + "\n- ".join(list(webpage_links))
+            webpage_links_str = "\n- " + "\n- ".join(webpages.keys())
             async for event in send_status_func(f"**Reading web pages**: {webpage_links_str}"):
                 yield {ChatEvent.STATUS: event}
     tasks = [
-        read_webpage_and_extract_content(subquery, link, content, user=user, agent=agent)
-        for link, subquery, content in webpages
+        read_webpage_and_extract_content(data["queries"], link, data["content"], user=user, agent=agent)
+        for link, data in webpages.items()
     ]
     results = await asyncio.gather(*tasks)
 
     # Collect extracted info from the retrieved web pages
-    for subquery, webpage_extract, url in results:
+    for subqueries, url, webpage_extract in results:
         if webpage_extract is not None:
-            response_dict[subquery]["webpages"] = {"link": url, "snippet": webpage_extract}
+            response_dict[subqueries.pop()]["webpages"] = {"link": url, "snippet": webpage_extract}
 
     yield response_dict
 
@@ -144,7 +148,7 @@ async def read_webpages(
     location: LocationData,
     user: KhojUser,
     send_status_func: Optional[Callable] = None,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
     agent: Agent = None,
 ):
     "Infer web pages to read from the query and extract relevant information from them"
@@ -152,36 +156,73 @@ async def read_webpages(
     if send_status_func:
         async for event in send_status_func(f"**Inferring web pages to read**"):
             yield {ChatEvent.STATUS: event}
-    urls = await infer_webpage_urls(query, conversation_history, location, user, uploaded_image_url)
+    urls = await infer_webpage_urls(query, conversation_history, location, user, query_images)
 
     logger.info(f"Reading web pages at: {urls}")
     if send_status_func:
         webpage_links_str = "\n- " + "\n- ".join(list(urls))
         async for event in send_status_func(f"**Reading web pages**: {webpage_links_str}"):
             yield {ChatEvent.STATUS: event}
-    tasks = [read_webpage_and_extract_content(query, url, user=user, agent=agent) for url in urls]
+    tasks = [read_webpage_and_extract_content({query}, url, user=user, agent=agent) for url in urls]
     results = await asyncio.gather(*tasks)
 
     response: Dict[str, Dict] = defaultdict(dict)
     response[query]["webpages"] = [
-        {"query": q, "link": url, "snippet": web_extract} for q, web_extract, url in results if web_extract is not None
+        {"query": qs.pop(), "link": url, "snippet": extract} for qs, url, extract in results if extract is not None
     ]
     yield response
 
 
+async def read_webpage(
+    url, scraper_type=None, api_key=None, api_url=None, subqueries=None, agent=None
+) -> Tuple[str | None, str | None]:
+    if scraper_type == WebScraper.WebScraperType.FIRECRAWL and FIRECRAWL_USE_LLM_EXTRACT:
+        return None, await query_webpage_with_firecrawl(url, subqueries, api_key, api_url, agent)
+    elif scraper_type == WebScraper.WebScraperType.FIRECRAWL:
+        return await read_webpage_with_firecrawl(url, api_key, api_url), None
+    elif scraper_type == WebScraper.WebScraperType.OLOSTEP:
+        return await read_webpage_with_olostep(url, api_key, api_url), None
+    elif scraper_type == WebScraper.WebScraperType.JINA:
+        return await read_webpage_with_jina(url, api_key, api_url), None
+    else:
+        return await read_webpage_at_url(url), None
+
+
 async def read_webpage_and_extract_content(
-    subquery: str, url: str, content: str = None, user: KhojUser = None, agent: Agent = None
-) -> Tuple[str, Union[None, str], str]:
+    subqueries: set[str], url: str, content: str = None, user: KhojUser = None, agent: Agent = None
+) -> Tuple[set[str], str, Union[None, str]]:
+    # Select the web scrapers to use for reading the web page
+    web_scrapers = await ConversationAdapters.aget_enabled_webscrapers()
+    # Only use the direct web scraper for internal URLs
+    if is_internal_url(url):
+        web_scrapers = [scraper for scraper in web_scrapers if scraper.type == WebScraper.WebScraperType.DIRECT]
+
+    # Fallback through enabled web scrapers until we successfully read the web page
+    extracted_info = None
+    for scraper in web_scrapers:
         try:
+            # Read the web page
             if is_none_or_empty(content):
-            with timer(f"Reading web page at '{url}' took", logger):
-                content = await read_webpage_with_olostep(url) if OLOSTEP_API_KEY else await read_webpage_with_jina(url)
+                with timer(f"Reading web page with {scraper.type} at '{url}' took", logger, log_level=logging.INFO):
+                    content, extracted_info = await read_webpage(
+                        url, scraper.type, scraper.api_key, scraper.api_url, subqueries, agent
+                    )
+
+            # Extract relevant information from the web page
+            if is_none_or_empty(extracted_info):
                 with timer(f"Extracting relevant information from web page at '{url}' took", logger):
-            extracted_info = await extract_relevant_info(subquery, content, user=user, agent=agent)
-        return subquery, extracted_info, url
+                    extracted_info = await extract_relevant_info(subqueries, content, user=user, agent=agent)
+
+            # If we successfully extracted information, break the loop
+            if not is_none_or_empty(extracted_info):
+                break
         except Exception as e:
-        logger.error(f"Failed to read web page at '{url}' with {e}")
-        return subquery, None, url
+            logger.warning(f"Failed to read web page with {scraper.type} at '{url}' with {e}")
+            # If this is the last web scraper in the list, log an error
+            if scraper.name == web_scrapers[-1].name:
+                logger.error(f"All web scrapers failed for '{url}'")
+
+    return subqueries, url, extracted_info
 
 
 async def read_webpage_at_url(web_url: str) -> str:
@@ -198,23 +239,23 @@ async def read_webpage_at_url(web_url: str) -> str:
             return markdownify(body)
 
 
-async def read_webpage_with_olostep(web_url: str) -> str:
-    headers = {"Authorization": f"Bearer {OLOSTEP_API_KEY}"}
+async def read_webpage_with_olostep(web_url: str, api_key: str, api_url: str) -> str:
+    headers = {"Authorization": f"Bearer {api_key}"}
     web_scraping_params: Dict[str, Union[str, int, bool]] = OLOSTEP_QUERY_PARAMS.copy()  # type: ignore
     web_scraping_params["url"] = web_url
 
     async with aiohttp.ClientSession() as session:
-        async with session.get(OLOSTEP_API_URL, params=web_scraping_params, headers=headers) as response:
+        async with session.get(api_url, params=web_scraping_params, headers=headers) as response:
             response.raise_for_status()
             response_json = await response.json()
             return response_json["markdown_content"]
 
 
-async def read_webpage_with_jina(web_url: str) -> str:
-    jina_reader_api_url = f"{JINA_READER_API_URL}/{web_url}"
+async def read_webpage_with_jina(web_url: str, api_key: str, api_url: str) -> str:
+    jina_reader_api_url = f"{api_url}/{web_url}"
     headers = {"Accept": "application/json", "X-Timeout": "30"}
-    if JINA_API_KEY:
-        headers["Authorization"] = f"Bearer {JINA_API_KEY}"
+    if api_key:
+        headers["Authorization"] = f"Bearer {api_key}"
 
     async with aiohttp.ClientSession() as session:
         async with session.get(jina_reader_api_url, headers=headers) as response:
@@ -223,6 +264,54 @@ async def read_webpage_with_jina(web_url: str) -> str:
             return response_json["data"]["content"]
 
 
+async def read_webpage_with_firecrawl(web_url: str, api_key: str, api_url: str) -> str:
+    firecrawl_api_url = f"{api_url}/v1/scrape"
+    headers = {"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}
+    params = {"url": web_url, "formats": ["markdown"], "excludeTags": ["script", ".ad"]}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.post(firecrawl_api_url, json=params, headers=headers) as response:
+            response.raise_for_status()
+            response_json = await response.json()
+            return response_json["data"]["markdown"]
+
+
+async def query_webpage_with_firecrawl(
+    web_url: str, queries: set[str], api_key: str, api_url: str, agent: Agent = None
+) -> str:
+    firecrawl_api_url = f"{api_url}/v1/scrape"
+    headers = {"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}
+    schema = {
+        "type": "object",
+        "properties": {
+            "relevant_extract": {"type": "string"},
+        },
+        "required": [
+            "relevant_extract",
+        ],
+    }
+
+    personality_context = (
+        prompts.personality_context.format(personality=agent.personality) if agent and agent.personality else ""
+    )
+    system_prompt = f"""
+{prompts.system_prompt_extract_relevant_information}
+
+{personality_context}
+User Query: {", ".join(queries)}
+
+Collate only relevant information from the website to answer the target query and in the provided JSON schema.
+""".strip()
+
+    params = {"url": web_url, "formats": ["extract"], "extract": {"systemPrompt": system_prompt, "schema": schema}}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.post(firecrawl_api_url, json=params, headers=headers) as response:
+            response.raise_for_status()
+            response_json = await response.json()
+            return response_json["data"]["extract"]["relevant_extract"]
+
+
 async def search_with_jina(query: str, location: LocationData) -> Tuple[str, Dict[str, List[Dict]]]:
     encoded_query = urllib.parse.quote(query)
     jina_search_api_url = f"{JINA_SEARCH_API_URL}/{encoded_query}"

src/khoj/processor/tools/run_code.py

@@ -10,12 +10,12 @@ import aiohttp
 from khoj.database.adapters import ais_user_subscribed
 from khoj.database.models import Agent, KhojUser
 from khoj.processor.conversation import prompts
-from khoj.processor.conversation.helpers import send_message_to_model_wrapper
 from khoj.processor.conversation.utils import (
     ChatEvent,
     construct_chat_history,
     remove_json_codeblock,
 )
+from khoj.routers.helpers import send_message_to_model_wrapper
 from khoj.utils.helpers import timer
 from khoj.utils.rawconfig import LocationData
 
@@ -32,7 +32,7 @@ async def run_code(
     location_data: LocationData,
     user: KhojUser,
     send_status_func: Optional[Callable] = None,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
     agent: Agent = None,
     sandbox_url: str = SANDBOX_URL,
 ):
@@ -43,7 +43,7 @@ async def run_code(
     try:
         with timer("Chat actor: Generate programs to execute", logger):
             codes = await generate_python_code(
-                query, conversation_history, previous_iterations_history, location_data, user, uploaded_image_url, agent
+                query, conversation_history, previous_iterations_history, location_data, user, query_images, agent
             )
     except Exception as e:
         raise ValueError(f"Failed to generate code for {query} with error: {e}")
@@ -70,7 +70,7 @@ async def generate_python_code(
     previous_iterations_history: str,
     location_data: LocationData,
     user: KhojUser,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
     agent: Agent = None,
 ) -> List[str]:
     location = f"{location_data}" if location_data else "Unknown"
@@ -95,7 +95,7 @@ async def generate_python_code(
 
     response = await send_message_to_model_wrapper(
         code_generation_prompt,
-        uploaded_image_url=uploaded_image_url,
+        query_images=query_images,
         response_type="json_object",
         user=user,
     )

src/khoj/routers/api.py

@@ -21,11 +21,13 @@ from starlette.authentication import has_required_scope, requires
 from khoj.configure import initialize_content
 from khoj.database import adapters
 from khoj.database.adapters import (
+    AgentAdapters,
     AutomationAdapters,
     ConversationAdapters,
     EntryAdapters,
+    get_default_search_model,
+    get_user_default_search_model,
     get_user_photo,
-    get_user_search_model_or_default,
 )
 from khoj.database.models import (
     Agent,
@@ -115,10 +117,16 @@ async def execute_search(
     dedupe: Optional[bool] = True,
     agent: Optional[Agent] = None,
 ):
-    start_time = time.time()
-
     # Run validation checks
     results: List[SearchResponse] = []
+
+    start_time = time.time()
+
+    # Ensure the agent, if present, is accessible by the user
+    if user and agent and not await AgentAdapters.ais_agent_accessible(agent, user):
+        logger.error(f"Agent {agent.slug} is not accessible by user {user}")
+        return results
+
     if q is None or q == "":
         logger.warning(f"No query param (q) passed in API call to initiate search")
         return results
@@ -143,7 +151,7 @@ async def execute_search(
     encoded_asymmetric_query = None
     if t != SearchType.Image:
         with timer("Encoding query took", logger=logger):
-            search_model = await sync_to_async(get_user_search_model_or_default)(user)
+            search_model = await sync_to_async(get_user_default_search_model)(user)
             encoded_asymmetric_query = state.embeddings_model[search_model.name].embed_query(defiltered_query)
 
     with concurrent.futures.ThreadPoolExecutor() as executor:
@@ -341,7 +349,7 @@ async def extract_references_and_questions(
     conversation_commands: List[ConversationCommand] = [ConversationCommand.Default],
     location_data: LocationData = None,
     send_status_func: Optional[Callable] = None,
-    uploaded_image_url: Optional[str] = None,
+    query_images: Optional[List[str]] = None,
     agent: Agent = None,
 ):
     user = request.user.object if request.user.is_authenticated else None
@@ -430,7 +438,7 @@ async def extract_references_and_questions(
                 conversation_log=meta_log,
                 location_data=location_data,
                 user=user,
-                uploaded_image_url=uploaded_image_url,
+                query_images=query_images,
                 vision_enabled=vision_enabled,
                 personality_context=personality_context,
             )
@@ -451,12 +459,14 @@ async def extract_references_and_questions(
             chat_model = conversation_config.chat_model
             inferred_queries = extract_questions_gemini(
                 defiltered_query,
+                query_images=query_images,
                 model=chat_model,
                 api_key=api_key,
                 conversation_log=meta_log,
                 location_data=location_data,
                 max_tokens=conversation_config.max_prompt_size,
                 user=user,
+                vision_enabled=vision_enabled,
                 personality_context=personality_context,
             )
 

src/khoj/routers/api_agents.py

@@ -1,5 +1,7 @@
 import json
 import logging
+import random
+from datetime import datetime, timedelta, timezone
 from typing import Dict, List, Optional
 
 from asgiref.sync import sync_to_async
@@ -9,8 +11,8 @@ from fastapi.responses import Response
 from pydantic import BaseModel
 from starlette.authentication import requires
 
-from khoj.database.adapters import AgentAdapters
-from khoj.database.models import Agent, KhojUser
+from khoj.database.adapters import AgentAdapters, ConversationAdapters
+from khoj.database.models import Agent, Conversation, KhojUser
 from khoj.routers.helpers import CommonQueryParams, acheck_if_safe_prompt
 from khoj.utils.helpers import (
     ConversationCommand,
@@ -45,12 +47,13 @@ async def all_agents(
 ) -> Response:
     user: KhojUser = request.user.object if request.user.is_authenticated else None
     agents = await AgentAdapters.aget_all_accessible_agents(user)
+    default_agent = await AgentAdapters.aget_default_agent()
+    default_agent_packet = None
     agents_packet = list()
     for agent in agents:
         files = agent.fileobject_set.all()
         file_names = [file.file_name for file in files]
-        agents_packet.append(
-            {
+        agent_packet = {
             "slug": agent.slug,
             "name": agent.name,
             "persona": agent.personality,
@@ -64,11 +67,29 @@ async def all_agents(
             "input_tools": agent.input_tools,
             "output_modes": agent.output_modes,
         }
-        )
+        if agent.slug == default_agent.slug:
+            default_agent_packet = agent_packet
+        else:
+            agents_packet.append(agent_packet)
+
+    # Load recent conversation sessions
+    min_date = datetime.min.replace(tzinfo=timezone.utc)
+    two_weeks_ago = datetime.today() - timedelta(weeks=2)
+    conversations = []
+    if user:
+        conversations = await sync_to_async(list[Conversation])(
+            ConversationAdapters.get_conversation_sessions(user, request.user.client_app)
+            .filter(updated_at__gte=two_weeks_ago)
+            .order_by("-updated_at")[:50]
+        )
+    conversation_times = {conv.agent.slug: conv.updated_at for conv in conversations if conv.agent}
+
+    # Put default agent first, then sort by mru and finally shuffle unused randomly
+    random.shuffle(agents_packet)
+    agents_packet.sort(key=lambda x: conversation_times.get(x["slug"]) or min_date, reverse=True)
+    if default_agent_packet:
+        agents_packet.insert(0, default_agent_packet)
 
-    # Make sure that the agent named 'khoj' is first in the list. Everything else is sorted by name.
-    agents_packet.sort(key=lambda x: x["name"])
-    agents_packet.sort(key=lambda x: x["slug"] == "khoj", reverse=True)
     return Response(content=json.dumps(agents_packet), media_type="application/json", status_code=200)
 
 

src/khoj/routers/api_chat.py

@@ -10,15 +10,15 @@ from urllib.parse import unquote
 
 from asgiref.sync import sync_to_async
 from fastapi import APIRouter, Depends, HTTPException, Request
-from fastapi.requests import Request
 from fastapi.responses import Response, StreamingResponse
-from starlette.authentication import has_required_scope, requires
+from starlette.authentication import requires
 
 from khoj.app.settings import ALLOWED_HOSTS
 from khoj.database.adapters import (
     AgentAdapters,
     ConversationAdapters,
     EntryAdapters,
+    FileObjectAdapters,
     PublicConversationAdapters,
     aget_user_name,
 )
@@ -31,8 +31,10 @@ from khoj.processor.tools.online_search import read_webpages, search_online
 from khoj.processor.tools.run_code import run_code
 from khoj.routers.api import extract_references_and_questions
 from khoj.routers.helpers import (
+    ApiImageRateLimiter,
     ApiUserRateLimiter,
     ChatEvent,
+    ChatRequestBody,
     CommonQueryParams,
     ConversationCommandRateLimiter,
     agenerate_chat_response,
@@ -41,6 +43,8 @@ from khoj.routers.helpers import (
     construct_automation_created_message,
     create_automation,
     extract_relevant_info,
+    extract_relevant_summary,
+    generate_excalidraw_diagram,
     generate_summary_from_files,
     get_conversation_command,
     is_query_empty,
@@ -529,22 +533,6 @@ async def set_conversation_title(
     )
 
 
-class ChatRequestBody(BaseModel):
-    q: str
-    n: Optional[int] = 7
-    d: Optional[float] = None
-    stream: Optional[bool] = False
-    title: Optional[str] = None
-    conversation_id: Optional[str] = None
-    city: Optional[str] = None
-    region: Optional[str] = None
-    country: Optional[str] = None
-    country_code: Optional[str] = None
-    timezone: Optional[str] = None
-    image: Optional[str] = None
-    create_new: Optional[bool] = False
-
-
 @api_chat.post("")
 @requires(["authenticated"])
 async def chat(
@@ -557,6 +545,7 @@ async def chat(
     rate_limiter_per_day=Depends(
         ApiUserRateLimiter(requests=600, subscribed_requests=6000, window=60 * 60 * 24, slug="chat_day")
     ),
+    image_rate_limiter=Depends(ApiImageRateLimiter(max_images=10, max_combined_size_mb=20)),
 ):
     # Access the parameters from the body
     q = body.q
@@ -570,29 +559,28 @@ async def chat(
     country = body.country or get_country_name_from_timezone(body.timezone)
     country_code = body.country_code or get_country_code_from_timezone(body.timezone)
     timezone = body.timezone
-    image = body.image
+    raw_images = body.images
 
-    async def event_generator(q: str, image: str):
+    async def event_generator(q: str, images: list[str]):
         start_time = time.perf_counter()
         ttft = None
         chat_metadata: dict = {}
         connection_alive = True
         user: KhojUser = request.user.object
-        subscribed: bool = has_required_scope(request, ["premium"])
         event_delimiter = "␃🔚␗"
         q = unquote(q)
         nonlocal conversation_id
 
-        uploaded_image_url = None
-        if image:
+        uploaded_images: list[str] = []
+        if images:
+            for image in images:
                 decoded_string = unquote(image)
                 base64_data = decoded_string.split(",", 1)[1]
                 image_bytes = base64.b64decode(base64_data)
                 webp_image_bytes = convert_image_to_webp(image_bytes)
-            try:
-                uploaded_image_url = upload_image_to_bucket(webp_image_bytes, request.user.object.id)
-            except:
-                uploaded_image_url = None
+                uploaded_image = upload_image_to_bucket(webp_image_bytes, request.user.object.id)
+                if uploaded_image:
+                    uploaded_images.append(uploaded_image)
 
         async def send_event(event_type: ChatEvent, data: str | dict):
             nonlocal connection_alive, ttft
@@ -645,7 +633,7 @@ async def chat(
                 request=request,
                 telemetry_type="api",
                 api="chat",
-                client=request.user.client_app,
+                client=common.client,
                 user_agent=request.headers.get("user-agent"),
                 host=request.headers.get("host"),
                 metadata=chat_metadata,
@@ -706,11 +694,10 @@ async def chat(
             async for research_result in execute_information_collection(
                 request=request,
                 user=user,
-                query=q,
+                query=defiltered_query,
                 conversation_id=conversation_id,
                 conversation_history=meta_log,
-                subscribed=subscribed,
-                uploaded_image_url=uploaded_image_url,
+                query_images=raw_images,
                 agent=agent,
                 send_status_func=partial(send_event, ChatEvent.STATUS),
                 user_name=user_name,
@@ -743,11 +730,11 @@ async def chat(
                 meta_log,
                 is_automated_task,
                 user=user,
-                uploaded_image_url=uploaded_image_url,
+                query_images=uploaded_images,
                 agent=agent,
             )
 
-            mode = await aget_relevant_output_modes(q, meta_log, is_automated_task, user, uploaded_image_url, agent)
+            mode = await aget_relevant_output_modes(q, meta_log, is_automated_task, user, uploaded_images, agent)
             async for result in send_event(ChatEvent.STATUS, f"**Decided Response Mode:** {mode.value}"):
                 yield result
             if mode not in conversation_commands:
@@ -788,11 +775,15 @@ async def chat(
                     user=user,
                     file_filters=file_filters,
                     meta_log=meta_log,
-                    subscribed=subscribed,
+                    query_images=uploaded_images,
+                    agent=agent,
                     send_status_func=partial(send_event, ChatEvent.STATUS),
                     send_response_func=partial(send_llm_response),
                 ):
-                    yield response
+                    if isinstance(response, dict) and ChatEvent.STATUS in response:
+                        yield result[ChatEvent.STATUS]
+                    else:
+                        response
 
             await sync_to_async(save_to_conversation_log)(
                 q,
@@ -803,7 +794,7 @@ async def chat(
                 intent_type="summarize",
                 client_application=request.user.client_app,
                 conversation_id=conversation_id,
-                uploaded_image_url=uploaded_image_url,
+                query_images=uploaded_images,
             )
             return
 
@@ -846,52 +837,51 @@ async def chat(
                 conversation_id=conversation_id,
                 inferred_queries=[query_to_run],
                 automation_id=automation.id,
-                uploaded_image_url=uploaded_image_url,
+                query_images=uploaded_images,
             )
             async for result in send_llm_response(llm_response):
                 yield result
             return
 
-        # # Gather Context
-        # # Extract Document References
-        # try:
-        #     async for result in extract_references_and_questions(
-        #         request,
-        #         meta_log,
-        #         q,
-        #         (n or 7),
-        #         d,
-        #         conversation_id,
-        #         conversation_commands,
-        #         location,
-        #         partial(send_event, ChatEvent.STATUS),
-        #         uploaded_image_url=uploaded_image_url,
-        #         agent=agent,
-        #     ):
-        #         if isinstance(result, dict) and ChatEvent.STATUS in result:
-        #             yield result[ChatEvent.STATUS]
-        #         else:
-        #             compiled_references.extend(result[0])
-        #             inferred_queries.extend(result[1])
-        #             defiltered_query = result[2]
-        # except Exception as e:
-        #     error_message = f"Error searching knowledge base: {e}. Attempting to respond without document references."
-        #     logger.warning(error_message)
-        #     async for result in send_event(
-        #         ChatEvent.STATUS, "Document search failed. I'll try respond without document references"
-        #     ):
-        #         yield result
-        #
-        # # if not is_none_or_empty(compiled_references):
-        #     try:
-        #         headings = "\n- " + "\n- ".join(set([c.get("compiled", c).split("\n")[0] for c in compiled_references]))
-        #         # Strip only leading # from headings
-        #         headings = headings.replace("#", "")
-        #         async for result in send_event(ChatEvent.STATUS, f"**Found Relevant Notes**: {headings}"):
-        #             yield result
-        #     except Exception as e:
-        #         # TODO Get correct type for compiled across research notes extraction
-        #         logger.error(f"Error extracting references: {e}", exc_info=True)
+        # Gather Context
+        ## Extract Document References
+        if pending_research:
+            try:
+                async for result in extract_references_and_questions(
+                    request,
+                    meta_log,
+                    q,
+                    (n or 7),
+                    d,
+                    conversation_id,
+                    conversation_commands,
+                    location,
+                    partial(send_event, ChatEvent.STATUS),
+                    query_images=uploaded_images,
+                    agent=agent,
+                ):
+                    if isinstance(result, dict) and ChatEvent.STATUS in result:
+                        yield result[ChatEvent.STATUS]
+                    else:
+                        compiled_references.extend(result[0])
+                        inferred_queries.extend(result[1])
+                        defiltered_query = result[2]
+            except Exception as e:
+                error_message = (
+                    f"Error searching knowledge base: {e}. Attempting to respond without document references."
+                )
+                logger.error(error_message, exc_info=True)
+                async for result in send_event(
+                    ChatEvent.STATUS, "Document search failed. I'll try respond without document references"
+                ):
+                    yield result
+
+            if not is_none_or_empty(compiled_references):
+                headings = "\n- " + "\n- ".join(set([c.get("compiled", c).split("\n")[0] for c in compiled_references]))
+                # Strip only leading # from headings
+                headings = headings.replace("#", "")
+                async for result in send_event(ChatEvent.STATUS, f"**Found Relevant Notes**: {headings}"):
+                    yield result
 
             if conversation_commands == [ConversationCommand.Notes] and not await EntryAdapters.auser_has_entries(user):
                 async for result in send_llm_response(f"{no_entries_found.format()}"):
@@ -901,18 +891,18 @@ async def chat(
         if ConversationCommand.Notes in conversation_commands and is_none_or_empty(compiled_references):
             conversation_commands.remove(ConversationCommand.Notes)
 
+        if pending_research:
             ## Gather Online References
-        if ConversationCommand.Online in conversation_commands and pending_research:
+            if ConversationCommand.Online in conversation_commands:
                 try:
                     async for result in search_online(
                         defiltered_query,
                         meta_log,
                         location,
                         user,
-                    subscribed,
                         partial(send_event, ChatEvent.STATUS),
                         custom_filters,
-                    uploaded_image_url=uploaded_image_url,
+                        query_images=uploaded_images,
                         agent=agent,
                     ):
                         if isinstance(result, dict) and ChatEvent.STATUS in result:
@@ -927,8 +917,9 @@ async def chat(
                     ):
                         yield result
 
+        if pending_research:
             ## Gather Webpage References
-        if ConversationCommand.Webpage in conversation_commands and pending_research:
+            if ConversationCommand.Webpage in conversation_commands:
                 try:
                     async for result in read_webpages(
                         defiltered_query,
@@ -936,7 +927,7 @@ async def chat(
                         location,
                         user,
                         partial(send_event, ChatEvent.STATUS),
-                    uploaded_image_url=uploaded_image_url,
+                        query_images=uploaded_images,
                         agent=agent,
                     ):
                         if isinstance(result, dict) and ChatEvent.STATUS in result:
@@ -964,6 +955,18 @@ async def chat(
                     ):
                         yield result
 
+            ## Send Gathered References
+            async for result in send_event(
+                ChatEvent.REFERENCES,
+                {
+                    "inferredQueries": inferred_queries,
+                    "context": compiled_references,
+                    "onlineContext": online_results,
+                },
+            ):
+                yield result
+
+        if pending_research:
             ## Gather Code Results
             if ConversationCommand.Code in conversation_commands and pending_research:
                 try:
@@ -977,7 +980,7 @@ async def chat(
                         location,
                         user,
                         partial(send_event, ChatEvent.STATUS),
-                    uploaded_image_url=uploaded_image_url,
+                        query_images=uploaded_images,
                         agent=agent,
                     ):
                         if isinstance(result, dict) and ChatEvent.STATUS in result:
@@ -992,43 +995,31 @@ async def chat(
                         exc_info=True,
                     )
 
-        ## Send Gathered References
-        async for result in send_event(
-            ChatEvent.REFERENCES,
-            {
-                "inferredQueries": inferred_queries,
-                "context": compiled_references,
-                "onlineContext": online_results,
-                "codeContext": code_results,
-            },
-        ):
-            yield result
-
         # Generate Output
         ## Generate Image Output
-        if ConversationCommand.Image in conversation_commands and pending_research:
+        if ConversationCommand.Image in conversation_commands:
             async for result in text_to_image(
-                q,
+                defiltered_query,
                 user,
                 meta_log,
                 location_data=location,
                 references=compiled_references,
                 online_results=online_results,
                 send_status_func=partial(send_event, ChatEvent.STATUS),
-                uploaded_image_url=uploaded_image_url,
+                query_images=uploaded_images,
                 agent=agent,
             ):
                 if isinstance(result, dict) and ChatEvent.STATUS in result:
                     yield result[ChatEvent.STATUS]
                 else:
-                    image, status_code, improved_image_prompt, intent_type = result
+                    generated_image, status_code, improved_image_prompt, intent_type = result
 
-            if image is None or status_code != 200:
+            if generated_image is None or status_code != 200:
                 content_obj = {
                     "content-type": "application/json",
                     "intentType": intent_type,
                     "detail": improved_image_prompt,
-                    "image": image,
+                    "image": None,
                 }
                 async for result in send_llm_response(json.dumps(content_obj)):
                     yield result
@@ -1036,7 +1027,7 @@ async def chat(
 
             await sync_to_async(save_to_conversation_log)(
                 q,
-                image,
+                generated_image,
                 user,
                 meta_log,
                 user_message_time,
@@ -1046,22 +1037,73 @@ async def chat(
                 conversation_id=conversation_id,
                 compiled_references=compiled_references,
                 online_results=online_results,
-                uploaded_image_url=uploaded_image_url,
+                query_images=uploaded_images,
             )
             content_obj = {
                 "intentType": intent_type,
                 "inferredQueries": [improved_image_prompt],
-                "image": image,
+                "image": generated_image,
             }
             async for result in send_llm_response(json.dumps(content_obj)):
                 yield result
             return
 
+        if ConversationCommand.Diagram in conversation_commands:
+            async for result in send_event(ChatEvent.STATUS, f"Creating diagram"):
+                yield result
+
+            intent_type = "excalidraw"
+            inferred_queries = []
+            diagram_description = ""
+
+            async for result in generate_excalidraw_diagram(
+                q=defiltered_query,
+                conversation_history=meta_log,
+                location_data=location,
+                note_references=compiled_references,
+                online_results=online_results,
+                query_images=uploaded_images,
+                user=user,
+                agent=agent,
+                send_status_func=partial(send_event, ChatEvent.STATUS),
+            ):
+                if isinstance(result, dict) and ChatEvent.STATUS in result:
+                    yield result[ChatEvent.STATUS]
+                else:
+                    better_diagram_description_prompt, excalidraw_diagram_description = result
+                    inferred_queries.append(better_diagram_description_prompt)
+                    diagram_description = excalidraw_diagram_description
+
+            content_obj = {
+                "intentType": intent_type,
+                "inferredQueries": inferred_queries,
+                "image": diagram_description,
+            }
+
+            await sync_to_async(save_to_conversation_log)(
+                q,
+                excalidraw_diagram_description,
+                user,
+                meta_log,
+                user_message_time,
+                intent_type="excalidraw",
+                inferred_queries=[better_diagram_description_prompt],
+                client_application=request.user.client_app,
+                conversation_id=conversation_id,
+                compiled_references=compiled_references,
+                online_results=online_results,
+                query_images=uploaded_images,
+            )
+
+            async for result in send_llm_response(json.dumps(content_obj)):
+                yield result
+            return
+
         ## Generate Text Output
         async for result in send_event(ChatEvent.STATUS, f"**Generating a well-informed response**"):
             yield result
         llm_response, chat_metadata = await agenerate_chat_response(
-            q,
+            defiltered_query,
             meta_log,
             conversation,
             compiled_references,
@@ -1074,8 +1116,8 @@ async def chat(
             conversation_id,
             location,
             user_name,
-            uploaded_image_url,
             researched_results,
+            uploaded_images,
         )
 
         # Send Response
@@ -1101,9 +1143,9 @@ async def chat(
 
     ## Stream Text Response
     if stream:
-        return StreamingResponse(event_generator(q, image=image), media_type="text/plain")
+        return StreamingResponse(event_generator(q, images=raw_images), media_type="text/plain")
     ## Non-Streaming Text Response
     else:
-        response_iterator = event_generator(q, image=image)
+        response_iterator = event_generator(q, images=raw_images)
         response_data = await read_chat_stream(response_iterator)
         return Response(content=json.dumps(response_data), media_type="application/json", status_code=200)

src/khoj/routers/api_model.py

@@ -94,39 +94,6 @@ async def update_voice_model(
     return Response(status_code=202, content=json.dumps({"status": "ok"}))
 
 
-@api_model.post("/search", status_code=200)
-@requires(["authenticated"])
-async def update_search_model(
-    request: Request,
-    id: str,
-    client: Optional[str] = None,
-):
-    user = request.user.object
-
-    prev_config = await adapters.aget_user_search_model(user)
-    new_config = await adapters.aset_user_search_model(user, int(id))
-
-    if prev_config and int(id) != prev_config.id and new_config:
-        await EntryAdapters.adelete_all_entries(user)
-
-    if not prev_config:
-        # If the use was just using the default config, delete all the entries and set the new config.
-        await EntryAdapters.adelete_all_entries(user)
-
-    if new_config is None:
-        return {"status": "error", "message": "Model not found"}
-    else:
-        update_telemetry_state(
-            request=request,
-            telemetry_type="api",
-            api="set_search_model",
-            client=client,
-            metadata={"search_model": new_config.setting.name},
-        )
-
-    return {"status": "ok"}
-
-
 @api_model.post("/paint", status_code=200)
 @requires(["authenticated"])
 async def update_paint_model(

src/khoj/routers/api_subscription.py

@@ -1,12 +1,14 @@
+import json
 import logging
 import os
 from datetime import datetime, timezone
 
 from asgiref.sync import sync_to_async
-from fastapi import APIRouter, Request
+from fastapi import APIRouter, Request, Response
 from starlette.authentication import requires
 
 from khoj.database import adapters
+from khoj.database.models import KhojUser, Subscription
 from khoj.routers.helpers import update_telemetry_state
 from khoj.utils import state
 
@@ -73,7 +75,7 @@ async def subscribe(request: Request):
     elif event_type in {"customer.subscription.deleted"}:
         # Reset the user to trial state
         user, is_new = await adapters.set_user_subscription(
-            customer_email, is_recurring=False, renewal_date=False, type="trial"
+            customer_email, is_recurring=False, renewal_date=False, type=Subscription.Type.TRIAL
         )
         success = user is not None
 
@@ -82,7 +84,7 @@ async def subscribe(request: Request):
             request=request,
             telemetry_type="api",
             api="create_user",
-            metadata={"user_id": str(user.user.uuid)},
+            metadata={"server_id": str(user.user.uuid)},
         )
         logger.log(logging.INFO, f"🥳 New User Created: {user.user.uuid}")
 
@@ -116,3 +118,19 @@ async def update_subscription(request: Request, email: str, operation: str):
         return {"success": False, "message": "No subscription found that is set to cancel"}
 
     return {"success": False, "message": "Invalid operation"}
+
+
+@subscription_router.post("/trial", response_class=Response)
+@requires(["authenticated"])
+async def start_trial(request: Request) -> Response:
+    user: KhojUser = request.user.object
+
+    # Start a trial for the user
+    updated_subscription = await adapters.astart_trial_subscription(user)
+
+    # Return trial status as a JSON response
+    return Response(
+        content=json.dumps({"trial_enabled": updated_subscription is not None}),
+        media_type="application/json",
+        status_code=200,
+    )

src/khoj/routers/auth.py

@@ -90,7 +90,7 @@ async def login_magic_link(request: Request, form: MagicLinkForm):
                 request=request,
                 telemetry_type="api",
                 api="create_user",
-                metadata={"user_id": str(user.uuid)},
+                metadata={"server_id": str(user.uuid)},
             )
             logger.log(logging.INFO, f"🥳 New User Created: {user.uuid}")
 
@@ -175,7 +175,7 @@ async def auth(request: Request):
                 request=request,
                 telemetry_type="api",
                 api="create_user",
-                metadata={"user_id": str(khoj_user.uuid)},
+                metadata={"server_id": str(khoj_user.uuid)},
             )
             logger.log(logging.INFO, f"🥳 New User Created: {khoj_user.uuid}")
             return RedirectResponse(url=next_url, status_code=HTTP_302_FOUND)

src/khoj/routers/helpers.py

@@ -1,4 +1,5 @@
 import asyncio
+import base64
 import hashlib
 import json
 import logging
@@ -22,7 +23,7 @@ from typing import (
     Tuple,
     Union,
 )
-from urllib.parse import parse_qs, quote, urljoin, urlparse
+from urllib.parse import parse_qs, quote, unquote, urljoin, urlparse
 
 import cron_descriptor
 import pytz
@@ -31,16 +32,19 @@ from apscheduler.job import Job
 from apscheduler.triggers.cron import CronTrigger
 from asgiref.sync import sync_to_async
 from fastapi import Depends, Header, HTTPException, Request, UploadFile
+from pydantic import BaseModel
 from starlette.authentication import has_required_scope
 from starlette.requests import URL
 
 from khoj.database import adapters
 from khoj.database.adapters import (
+    LENGTH_OF_FREE_TRIAL,
     AgentAdapters,
     AutomationAdapters,
     ConversationAdapters,
     EntryAdapters,
     FileObjectAdapters,
+    ais_user_subscribed,
     create_khoj_token,
     get_khoj_tokens,
     get_user_name,
@@ -210,6 +214,21 @@ def get_next_url(request: Request) -> str:
     return urljoin(str(request.base_url).rstrip("/"), next_path)
 
 
+def construct_chat_history(conversation_history: dict, n: int = 4, agent_name="AI") -> str:
+    chat_history = ""
+    for chat in conversation_history.get("chat", [])[-n:]:
+        if chat["by"] == "khoj" and chat["intent"].get("type") in ["remember", "reminder", "summarize"]:
+            chat_history += f"User: {chat['intent']['query']}\n"
+            chat_history += f"{agent_name}: {chat['message']}\n"
+        elif chat["by"] == "khoj" and ("text-to-image" in chat["intent"].get("type")):
+            chat_history += f"User: {chat['intent']['query']}\n"
+            chat_history += f"{agent_name}: [generated image redacted for space]\n"
+        elif chat["by"] == "khoj" and ("excalidraw" in chat["intent"].get("type")):
+            chat_history += f"User: {chat['intent']['query']}\n"
+            chat_history += f"{agent_name}: {chat['intent']['inferred-queries'][0]}\n"
+    return chat_history
+
+
 def get_conversation_command(query: str, any_references: bool = False) -> ConversationCommand:
     if query.startswith("/notes"):
         return ConversationCommand.Notes
@@ -227,6 +246,8 @@ def get_conversation_command(query: str, any_references: bool = False) -> Conver
         return ConversationCommand.AutomatedTask
     elif query.startswith("/summarize"):
         return ConversationCommand.Summarize
+    elif query.startswith("/diagram"):
+        return ConversationCommand.Diagram
     # If no relevant notes found for the given query
     elif not any_references:
         return ConversationCommand.General
@@ -282,7 +303,7 @@ async def aget_relevant_information_sources(
     conversation_history: dict,
     is_task: bool,
     user: KhojUser,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
     agent: Agent = None,
 ):
     """
@@ -301,8 +322,8 @@ async def aget_relevant_information_sources(
 
     chat_history = construct_chat_history(conversation_history)
 
-    if uploaded_image_url:
-        query = f"[placeholder for user attached image]\n{query}"
+    if query_images:
+        query = f"[placeholder for {len(query_images)} user attached images]\n{query}"
 
     personality_context = (
         prompts.personality_context.format(personality=agent.personality) if agent and agent.personality else ""
@@ -359,7 +380,7 @@ async def aget_relevant_output_modes(
     conversation_history: dict,
     is_task: bool = False,
     user: KhojUser = None,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
     agent: Agent = None,
 ):
     """
@@ -381,8 +402,8 @@ async def aget_relevant_output_modes(
 
     chat_history = construct_chat_history(conversation_history)
 
-    if uploaded_image_url:
-        query = f"[placeholder for user attached image]\n{query}"
+    if query_images:
+        query = f"[placeholder for {len(query_images)} user attached images]\n{query}"
 
     personality_context = (
         prompts.personality_context.format(personality=agent.personality) if agent and agent.personality else ""
@@ -425,7 +446,7 @@ async def infer_webpage_urls(
     conversation_history: dict,
     location_data: LocationData,
     user: KhojUser,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
     agent: Agent = None,
 ) -> List[str]:
     """
@@ -451,7 +472,7 @@ async def infer_webpage_urls(
 
     with timer("Chat actor: Infer webpage urls to read", logger):
         response = await send_message_to_model_wrapper(
-            online_queries_prompt, uploaded_image_url=uploaded_image_url, response_type="json_object", user=user
+            online_queries_prompt, query_images=query_images, response_type="json_object", user=user
         )
 
     # Validate that the response is a non-empty, JSON-serializable list of URLs
@@ -472,7 +493,7 @@ async def generate_online_subqueries(
     conversation_history: dict,
     location_data: LocationData,
     user: KhojUser,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
     agent: Agent = None,
 ) -> List[str]:
     """
@@ -498,7 +519,7 @@ async def generate_online_subqueries(
 
     with timer("Chat actor: Generate online search subqueries", logger):
         response = await send_message_to_model_wrapper(
-            online_queries_prompt, uploaded_image_url=uploaded_image_url, response_type="json_object", user=user
+            online_queries_prompt, query_images=query_images, response_type="json_object", user=user
         )
 
     # Validate that the response is a non-empty, JSON-serializable list
@@ -517,7 +538,7 @@ async def generate_online_subqueries(
 
 
 async def schedule_query(
-    q: str, conversation_history: dict, user: KhojUser, uploaded_image_url: str = None
+    q: str, conversation_history: dict, user: KhojUser, query_images: List[str] = None
 ) -> Tuple[str, ...]:
     """
     Schedule the date, time to run the query. Assume the server timezone is UTC.
@@ -530,7 +551,7 @@ async def schedule_query(
     )
 
     raw_response = await send_message_to_model_wrapper(
-        crontime_prompt, uploaded_image_url=uploaded_image_url, response_type="json_object", user=user
+        crontime_prompt, query_images=query_images, response_type="json_object", user=user
     )
 
     # Validate that the response is a non-empty, JSON-serializable list
@@ -544,12 +565,14 @@ async def schedule_query(
         raise AssertionError(f"Invalid response for scheduling query: {raw_response}")
 
 
-async def extract_relevant_info(q: str, corpus: str, user: KhojUser = None, agent: Agent = None) -> Union[str, None]:
+async def extract_relevant_info(
+    qs: set[str], corpus: str, user: KhojUser = None, agent: Agent = None
+) -> Union[str, None]:
     """
     Extract relevant information for a given query from the target corpus
     """
 
-    if is_none_or_empty(corpus) or is_none_or_empty(q):
+    if is_none_or_empty(corpus) or is_none_or_empty(qs):
         return None
 
     personality_context = (
@@ -557,12 +580,11 @@ async def extract_relevant_info(q: str, corpus: str, user: KhojUser = None, agen
     )
 
     extract_relevant_information = prompts.extract_relevant_information.format(
-        query=q,
+        query=", ".join(qs),
         corpus=corpus.strip(),
         personality_context=personality_context,
     )
 
-    with timer("Chat actor: Extract relevant information from data", logger):
     response = await send_message_to_model_wrapper(
         extract_relevant_information,
         prompts.system_prompt_extract_relevant_information,
@@ -575,7 +597,7 @@ async def extract_relevant_summary(
     q: str,
     corpus: str,
     conversation_history: dict,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
     user: KhojUser = None,
     agent: Agent = None,
 ) -> Union[str, None]:
@@ -604,7 +626,7 @@ async def extract_relevant_summary(
             extract_relevant_information,
             prompts.system_prompt_extract_relevant_summary,
             user=user,
-            uploaded_image_url=uploaded_image_url,
+            query_images=query_images,
         )
     return response.strip()
 
@@ -614,8 +636,7 @@ async def generate_summary_from_files(
     user: KhojUser,
     file_filters: List[str],
     meta_log: dict,
-    subscribed: bool,
-    uploaded_image_url: str = None,
+    query_images: List[str] = None,
     agent: Agent = None,
     send_status_func: Optional[Callable] = None,
     send_response_func: Optional[Callable] = None,
@@ -647,7 +668,7 @@ async def generate_summary_from_files(
             q,
             contextual_data,
             conversation_history=meta_log,
-            uploaded_image_url=uploaded_image_url,
+            query_images=query_images,
             user=user,
             agent=agent,
         )
@@ -661,6 +682,129 @@ async def generate_summary_from_files(
             yield result
 
 
+async def generate_excalidraw_diagram(
+    q: str,
+    conversation_history: Dict[str, Any],
+    location_data: LocationData,
+    note_references: List[Dict[str, Any]],
+    online_results: Optional[dict] = None,
+    query_images: List[str] = None,
+    user: KhojUser = None,
+    agent: Agent = None,
+    send_status_func: Optional[Callable] = None,
+):
+    if send_status_func:
+        async for event in send_status_func("**Enhancing the Diagramming Prompt**"):
+            yield {ChatEvent.STATUS: event}
+
+    better_diagram_description_prompt = await generate_better_diagram_description(
+        q=q,
+        conversation_history=conversation_history,
+        location_data=location_data,
+        note_references=note_references,
+        online_results=online_results,
+        query_images=query_images,
+        user=user,
+        agent=agent,
+    )
+
+    if send_status_func:
+        async for event in send_status_func(f"**Diagram to Create:**:\n{better_diagram_description_prompt}"):
+            yield {ChatEvent.STATUS: event}
+
+    excalidraw_diagram_description = await generate_excalidraw_diagram_from_description(
+        q=better_diagram_description_prompt,
+        user=user,
+        agent=agent,
+    )
+
+    yield better_diagram_description_prompt, excalidraw_diagram_description
+
+
+async def generate_better_diagram_description(
+    q: str,
+    conversation_history: Dict[str, Any],
+    location_data: LocationData,
+    note_references: List[Dict[str, Any]],
+    online_results: Optional[dict] = None,
+    query_images: List[str] = None,
+    user: KhojUser = None,
+    agent: Agent = None,
+) -> str:
+    """
+    Generate a diagram description from the given query and context
+    """
+
+    today_date = datetime.now(tz=timezone.utc).strftime("%Y-%m-%d, %A")
+    personality_context = (
+        prompts.personality_context.format(personality=agent.personality) if agent and agent.personality else ""
+    )
+
+    if location_data:
+        location_prompt = prompts.user_location.format(location=f"{location_data}")
+    else:
+        location_prompt = "Unknown"
+
+    user_references = "\n\n".join([f"# {item['compiled']}" for item in note_references])
+
+    chat_history = construct_chat_history(conversation_history)
+
+    simplified_online_results = {}
+
+    if online_results:
+        for result in online_results:
+            if online_results[result].get("answerBox"):
+                simplified_online_results[result] = online_results[result]["answerBox"]
+            elif online_results[result].get("webpages"):
+                simplified_online_results[result] = online_results[result]["webpages"]
+
+    improve_diagram_description_prompt = prompts.improve_diagram_description_prompt.format(
+        query=q,
+        chat_history=chat_history,
+        location=location_prompt,
+        current_date=today_date,
+        references=user_references,
+        online_results=simplified_online_results,
+        personality_context=personality_context,
+    )
+
+    with timer("Chat actor: Generate better diagram description", logger):
+        response = await send_message_to_model_wrapper(
+            improve_diagram_description_prompt, query_images=query_images, user=user
+        )
+        response = response.strip()
+        if response.startswith(('"', "'")) and response.endswith(('"', "'")):
+            response = response[1:-1]
+
+    return response
+
+
+async def generate_excalidraw_diagram_from_description(
+    q: str,
+    user: KhojUser = None,
+    agent: Agent = None,
+) -> str:
+    personality_context = (
+        prompts.personality_context.format(personality=agent.personality) if agent and agent.personality else ""
+    )
+
+    excalidraw_diagram_generation = prompts.excalidraw_diagram_generation_prompt.format(
+        personality_context=personality_context,
+        query=q,
+    )
+
+    with timer("Chat actor: Generate excalidraw diagram", logger):
+        raw_response = await send_message_to_model_wrapper(message=excalidraw_diagram_generation, user=user)
+        raw_response = raw_response.strip()
+        raw_response = remove_json_codeblock(raw_response)
+        response: Dict[str, str] = json.loads(raw_response)
+        if not response or not isinstance(response, List) or not isinstance(response[0], Dict):
+            # TODO Some additional validation here that it's a valid Excalidraw diagram
+            raise AssertionError(f"Invalid response for improving diagram description: {response}")
+
+    return response
+
+
 async def generate_better_image_prompt(
     q: str,
     conversation_history: str,
@@ -668,7 +812,7 @@ async def generate_better_image_prompt(
     note_references: List[Dict[str, Any]],
     online_results: Optional[dict] = None,
     model_type: Optional[str] = None,
-    uploaded_image_url: Optional[str] = None,
+    query_images: Optional[List[str]] = None,
     user: KhojUser = None,
     agent: Agent = None,
 ) -> str:
@@ -720,7 +864,7 @@ async def generate_better_image_prompt(
         )
 
     with timer("Chat actor: Generate contextual image prompt", logger):
-        response = await send_message_to_model_wrapper(image_prompt, uploaded_image_url=uploaded_image_url, user=user)
+        response = await send_message_to_model_wrapper(image_prompt, query_images=query_images, user=user)
         response = response.strip()
         if response.startswith(('"', "'")) and response.endswith(('"', "'")):
             response = response[1:-1]
@@ -728,6 +872,117 @@ async def generate_better_image_prompt(
     return response
 
 
+async def send_message_to_model_wrapper(
+    message: str,
+    system_message: str = "",
+    response_type: str = "text",
+    user: KhojUser = None,
+    query_images: List[str] = None,
+):
+    conversation_config: ChatModelOptions = await ConversationAdapters.aget_default_conversation_config(user)
+    vision_available = conversation_config.vision_enabled
+    if not vision_available and query_images:
+        vision_enabled_config = await ConversationAdapters.aget_vision_enabled_config()
+        if vision_enabled_config:
+            conversation_config = vision_enabled_config
+            vision_available = True
+
+    subscribed = await ais_user_subscribed(user)
+    chat_model = conversation_config.chat_model
+    max_tokens = (
+        conversation_config.subscribed_max_prompt_size
+        if subscribed and conversation_config.subscribed_max_prompt_size
+        else conversation_config.max_prompt_size
+    )
+    tokenizer = conversation_config.tokenizer
+    model_type = conversation_config.model_type
+    vision_available = conversation_config.vision_enabled
+
+    if model_type == ChatModelOptions.ModelType.OFFLINE:
+        if state.offline_chat_processor_config is None or state.offline_chat_processor_config.loaded_model is None:
+            state.offline_chat_processor_config = OfflineChatProcessorModel(chat_model, max_tokens)
+
+        loaded_model = state.offline_chat_processor_config.loaded_model
+        truncated_messages = generate_chatml_messages_with_context(
+            user_message=message,
+            system_message=system_message,
+            model_name=chat_model,
+            loaded_model=loaded_model,
+            tokenizer_name=tokenizer,
+            max_prompt_size=max_tokens,
+            vision_enabled=vision_available,
+            model_type=conversation_config.model_type,
+        )
+
+        return send_message_to_model_offline(
+            messages=truncated_messages,
+            loaded_model=loaded_model,
+            model=chat_model,
+            max_prompt_size=max_tokens,
+            streaming=False,
+            response_type=response_type,
+        )
+
+    elif model_type == ChatModelOptions.ModelType.OPENAI:
+        openai_chat_config = conversation_config.openai_config
+        api_key = openai_chat_config.api_key
+        api_base_url = openai_chat_config.api_base_url
+        truncated_messages = generate_chatml_messages_with_context(
+            user_message=message,
+            system_message=system_message,
+            model_name=chat_model,
+            max_prompt_size=max_tokens,
+            tokenizer_name=tokenizer,
+            vision_enabled=vision_available,
+            query_images=query_images,
+            model_type=conversation_config.model_type,
+        )
+
+        return send_message_to_model(
+            messages=truncated_messages,
+            api_key=api_key,
+            model=chat_model,
+            response_type=response_type,
+            api_base_url=api_base_url,
+        )
+    elif model_type == ChatModelOptions.ModelType.ANTHROPIC:
+        api_key = conversation_config.openai_config.api_key
+        truncated_messages = generate_chatml_messages_with_context(
+            user_message=message,
+            system_message=system_message,
+            model_name=chat_model,
+            max_prompt_size=max_tokens,
+            tokenizer_name=tokenizer,
+            vision_enabled=vision_available,
+            query_images=query_images,
+            model_type=conversation_config.model_type,
+        )
+
+        return anthropic_send_message_to_model(
+            messages=truncated_messages,
+            api_key=api_key,
+            model=chat_model,
+        )
+    elif model_type == ChatModelOptions.ModelType.GOOGLE:
+        api_key = conversation_config.openai_config.api_key
+        truncated_messages = generate_chatml_messages_with_context(
+            user_message=message,
+            system_message=system_message,
+            model_name=chat_model,
+            max_prompt_size=max_tokens,
+            tokenizer_name=tokenizer,
+            vision_enabled=vision_available,
+            query_images=query_images,
+            model_type=conversation_config.model_type,
+        )
+
+        return gemini_send_message_to_model(
+            messages=truncated_messages, api_key=api_key, model=chat_model, response_type=response_type
+        )
+    else:
+        raise HTTPException(status_code=500, detail="Invalid conversation config")
+
+
 def send_message_to_model_wrapper_sync(
     message: str,
     system_message: str = "",
@@ -809,12 +1064,14 @@ def send_message_to_model_wrapper_sync(
             model_name=chat_model,
             max_prompt_size=max_tokens,
             vision_enabled=vision_available,
+            model_type=conversation_config.model_type,
         )
 
         return gemini_send_message_to_model(
             messages=truncated_messages,
             api_key=api_key,
             model=chat_model,
+            response_type=response_type,
         )
     else:
         raise HTTPException(status_code=500, detail="Invalid conversation config")
@@ -834,8 +1091,8 @@ def generate_chat_response(
     conversation_id: str = None,
     location_data: LocationData = None,
     user_name: Optional[str] = None,
-    uploaded_image_url: Optional[str] = None,
     meta_research: str = "",
+    query_images: Optional[List[str]] = None,
 ) -> Tuple[Union[ThreadedGenerator, Iterator[str]], Dict[str, str]]:
     # Initialize Variables
     chat_response = None
@@ -858,12 +1115,12 @@ def generate_chat_response(
             inferred_queries=inferred_queries,
             client_application=client_application,
             conversation_id=conversation_id,
-            uploaded_image_url=uploaded_image_url,
+            query_images=query_images,
         )
 
         conversation_config = ConversationAdapters.get_valid_conversation_config(user, conversation)
         vision_available = conversation_config.vision_enabled
-        if not vision_available and uploaded_image_url:
+        if not vision_available and query_images:
             vision_enabled_config = ConversationAdapters.get_vision_enabled_config()
             if vision_enabled_config:
                 conversation_config = vision_enabled_config
@@ -894,7 +1151,8 @@ def generate_chat_response(
             chat_response = converse(
                 compiled_references,
                 query_to_run,
-                image_url=uploaded_image_url,
+                q,
+                query_images=query_images,
                 online_results=online_results,
                 code_results=code_results,
                 conversation_log=meta_log,
@@ -937,6 +1195,10 @@ def generate_chat_response(
                 online_results,
                 code_results,
                 meta_log,
+                q,
+                query_images=query_images,
+                online_results=online_results,
+                conversation_log=meta_log,
                 model=conversation_config.chat_model,
                 api_key=api_key,
                 completion_func=partial_completion,
@@ -946,6 +1208,7 @@ def generate_chat_response(
                 location_data=location_data,
                 user_name=user_name,
                 agent=agent,
+                vision_available=vision_available,
             )
 
         metadata.update({"chat_model": conversation_config.chat_model})
@@ -957,6 +1220,22 @@ def generate_chat_response(
     return chat_response, metadata
 
 
+class ChatRequestBody(BaseModel):
+    q: str
+    n: Optional[int] = 7
+    d: Optional[float] = None
+    stream: Optional[bool] = False
+    title: Optional[str] = None
+    conversation_id: Optional[str] = None
+    city: Optional[str] = None
+    region: Optional[str] = None
+    country: Optional[str] = None
+    country_code: Optional[str] = None
+    timezone: Optional[str] = None
+    images: Optional[list[str]] = None
+    create_new: Optional[bool] = False
+
+
 class ApiUserRateLimiter:
     def __init__(self, requests: int, subscribed_requests: int, window: int, slug: str):
         self.requests = requests
@@ -1002,13 +1281,58 @@ class ApiUserRateLimiter:
             )
             raise HTTPException(
                 status_code=429,
-                detail="We're glad you're enjoying Khoj! You've exceeded your usage limit for today. Come back tomorrow or subscribe to increase your usage limit via [your settings](https://app.khoj.dev/settings).",
+                detail="I'm glad you're enjoying interacting with me! But you've exceeded your usage limit for today. Come back tomorrow or subscribe to increase your usage limit via [your settings](https://app.khoj.dev/settings).",
             )
 
         # Add the current request to the cache
         UserRequests.objects.create(user=user, slug=self.slug)
 
 
+class ApiImageRateLimiter:
+    def __init__(self, max_images: int = 10, max_combined_size_mb: float = 10):
+        self.max_images = max_images
+        self.max_combined_size_mb = max_combined_size_mb
+
+    def __call__(self, request: Request, body: ChatRequestBody):
+        if state.billing_enabled is False:
+            return
+
+        # Rate limiting is disabled if user unauthenticated.
+        # Other systems handle authentication
+        if not request.user.is_authenticated:
+            return
+
+        if not body.images:
+            return
+
+        # Check number of images
+        if len(body.images) > self.max_images:
+            raise HTTPException(
+                status_code=429,
+                detail=f"Those are way too many images for me! I can handle up to {self.max_images} images per message.",
+            )
+
+        # Check total size of images
+        total_size_mb = 0.0
+        for image in body.images:
+            # Unquote the image in case it's URL encoded
+            image = unquote(image)
+            # Assuming the image is a base64 encoded string
+            # Remove the data:image/jpeg;base64, part if present
+            if "," in image:
+                image = image.split(",", 1)[1]
+
+            # Decode base64 to get the actual size
+            image_bytes = base64.b64decode(image)
+            total_size_mb += len(image_bytes) / (1024 * 1024)  # Convert bytes to MB
+
+        if total_size_mb > self.max_combined_size_mb:
+            raise HTTPException(
+                status_code=429,
+                detail=f"Those images are way too large for me! I can handle up to {self.max_combined_size_mb}MB of images per message.",
+            )
+
+
 class ConversationCommandRateLimiter:
     def __init__(self, trial_rate_limit: int, subscribed_rate_limit: int, slug: str):
         self.slug = slug
@@ -1411,10 +1735,16 @@ def get_user_config(user: KhojUser, request: Request, is_detailed: bool = False)
 
     user_subscription_state = get_user_subscription_state(user.email)
     user_subscription = adapters.get_user_subscription(user.email)
+
     subscription_renewal_date = (
         user_subscription.renewal_date.strftime("%d %b %Y")
         if user_subscription and user_subscription.renewal_date
-        else (user_subscription.created_at + timedelta(days=7)).strftime("%d %b %Y")
+        else None
+    )
+    subscription_enabled_trial_at = (
+        user_subscription.enabled_trial_at.strftime("%d %b %Y")
+        if user_subscription and user_subscription.enabled_trial_at
+        else None
     )
     given_name = get_user_name(user)
 
@@ -1437,13 +1767,6 @@ def get_user_config(user: KhojUser, request: Request, is_detailed: bool = False)
     for chat_model in chat_models:
         chat_model_options.append({"name": chat_model.chat_model, "id": chat_model.id})
 
-    search_model_options = adapters.get_or_create_search_models().all()
-    all_search_model_options = list()
-    for search_model_option in search_model_options:
-        all_search_model_options.append({"name": search_model_option.name, "id": search_model_option.id})
-
-    current_search_model_option = adapters.get_user_search_model_or_default(user)
-
     selected_paint_model_config = ConversationAdapters.get_user_text_to_image_model_config(user)
     paint_model_options = ConversationAdapters.get_text_to_image_model_options().all()
     all_paint_model_options = list()
@@ -1476,8 +1799,6 @@ def get_user_config(user: KhojUser, request: Request, is_detailed: bool = False)
         "has_documents": has_documents,
         "notion_token": notion_token,
         # user model settings
-        "search_model_options": all_search_model_options,
-        "selected_search_model_config": current_search_model_option.id,
         "chat_model_options": chat_model_options,
         "selected_chat_model_config": selected_chat_model_config.id if selected_chat_model_config else None,
         "paint_model_options": all_paint_model_options,
@@ -1487,6 +1808,7 @@ def get_user_config(user: KhojUser, request: Request, is_detailed: bool = False)
         # user billing info
         "subscription_state": user_subscription_state,
         "subscription_renewal_date": subscription_renewal_date,
+        "subscription_enabled_trial_at": subscription_enabled_trial_at,
         # server settings
         "khoj_cloud_subscription_url": os.getenv("KHOJ_CLOUD_SUBSCRIPTION_URL"),
         "billing_enabled": state.billing_enabled,
@@ -1495,6 +1817,7 @@ def get_user_config(user: KhojUser, request: Request, is_detailed: bool = False)
         "khoj_version": state.khoj_version,
         "anonymous_mode": state.anonymous_mode,
         "notion_oauth_url": notion_oauth_url,
+        "length_of_free_trial": LENGTH_OF_FREE_TRIAL,
     }
 
 

src/khoj/routers/research.py

@@ -38,7 +38,7 @@ async def apick_next_tool(
     query: str,
     conversation_history: dict,
     user: KhojUser = None,
-    uploaded_image_url: str = None,
+    query_images: List[str] = [],
     location: LocationData = None,
     user_name: str = None,
     agent: Agent = None,
@@ -62,8 +62,8 @@ async def apick_next_tool(
 
     chat_history = construct_chat_history(conversation_history, agent_name=agent.name if agent else "Khoj")
 
-    if uploaded_image_url:
-        query = f"[placeholder for user attached image]\n{query}"
+    if query_images:
+        query = f"[placeholder for user attached images]\n{query}"
 
     personality_context = (
         prompts.personality_context.format(personality=agent.personality) if agent and agent.personality else ""
@@ -131,8 +131,7 @@ async def execute_information_collection(
     query: str,
     conversation_id: str,
     conversation_history: dict,
-    subscribed: bool,
-    uploaded_image_url: str = None,
+    query_images: List[str],
     agent: Agent = None,
     send_status_func: Optional[Callable] = None,
     user_name: str = None,
@@ -154,7 +153,7 @@ async def execute_information_collection(
             query,
             conversation_history,
             user,
-            uploaded_image_url,
+            query_images,
             location,
             user_name,
             agent,
@@ -180,7 +179,7 @@ async def execute_information_collection(
                 [ConversationCommand.Default],
                 location,
                 send_status_func,
-                uploaded_image_url=uploaded_image_url,
+                query_images,
                 agent=agent,
             ):
                 if isinstance(result, dict) and ChatEvent.STATUS in result:
@@ -208,11 +207,10 @@ async def execute_information_collection(
                 conversation_history,
                 location,
                 user,
-                subscribed,
                 send_status_func,
                 [],
                 max_webpages_to_read=0,
-                uploaded_image_url=uploaded_image_url,
+                query_images=query_images,
                 agent=agent,
             ):
                 if isinstance(result, dict) and ChatEvent.STATUS in result:
@@ -229,7 +227,7 @@ async def execute_information_collection(
                     location,
                     user,
                     send_status_func,
-                    uploaded_image_url=uploaded_image_url,
+                    query_images=query_images,
                     agent=agent,
                 ):
                     if isinstance(result, dict) and ChatEvent.STATUS in result:
@@ -259,7 +257,7 @@ async def execute_information_collection(
                     location,
                     user,
                     send_status_func,
-                    uploaded_image_url=uploaded_image_url,
+                    query_images=query_images,
                     agent=agent,
                 ):
                     if isinstance(result, dict) and ChatEvent.STATUS in result:

src/khoj/routers/web_client.py

@@ -51,17 +51,6 @@ def chat_page(request: Request):
     )
 
 
-@web_client.get("/experimental", response_class=FileResponse)
-@requires(["authenticated"], redirect="login_page")
-def experimental_page(request: Request):
-    return templates.TemplateResponse(
-        "index.html",
-        context={
-            "request": request,
-        },
-    )
-
-
 @web_client.get("/factchecker", response_class=FileResponse)
 def fact_checker_page(request: Request):
     return templates.TemplateResponse(

src/khoj/search_type/text_search.py

@@ -8,7 +8,11 @@ import torch
 from asgiref.sync import sync_to_async
 from sentence_transformers import util
 
-from khoj.database.adapters import EntryAdapters, get_user_search_model_or_default
+from khoj.database.adapters import (
+    EntryAdapters,
+    get_default_search_model,
+    get_user_default_search_model,
+)
 from khoj.database.models import Agent
 from khoj.database.models import Entry as DbEntry
 from khoj.database.models import KhojUser
@@ -110,7 +114,7 @@ async def query(
     file_type = search_type_to_embeddings_type[type.value]
 
     query = raw_query
-    search_model = await sync_to_async(get_user_search_model_or_default)(user)
+    search_model = await sync_to_async(get_user_default_search_model)(user)
     if not max_distance:
         if search_model.bi_encoder_confidence_threshold:
             max_distance = search_model.bi_encoder_confidence_threshold

src/khoj/utils/helpers.py

@@ -2,10 +2,12 @@ from __future__ import annotations  # to avoid quoting type hints
 
 import datetime
 import io
+import ipaddress
 import logging
 import os
 import platform
 import random
+import urllib.parse
 import uuid
 from collections import OrderedDict
 from enum import Enum
@@ -125,6 +127,8 @@ def get_file_type(file_type: str, file_content: bytes) -> tuple[str, str]:
         return "image", encoding
     elif file_type in ["image/png"]:
         return "image", encoding
+    elif file_type in ["image/webp"]:
+        return "image", encoding
     elif content_group in ["code", "text"]:
         return "plaintext", encoding
     else:
@@ -164,9 +168,9 @@ def get_class_by_name(name: str) -> object:
 class timer:
     """Context manager to log time taken for a block of code to run"""
 
-    def __init__(self, message: str, logger: logging.Logger, device: torch.device = None):
+    def __init__(self, message: str, logger: logging.Logger, device: torch.device = None, log_level=logging.DEBUG):
         self.message = message
-        self.logger = logger
+        self.logger = logger.debug if log_level == logging.DEBUG else logger.info
         self.device = device
 
     def __enter__(self):
@@ -176,9 +180,9 @@ class timer:
     def __exit__(self, *_):
         elapsed = perf_counter() - self.start
         if self.device is None:
-            self.logger.debug(f"{self.message}: {elapsed:.3f} seconds")
+            self.logger(f"{self.message}: {elapsed:.3f} seconds")
         else:
-            self.logger.debug(f"{self.message}: {elapsed:.3f} seconds on device: {self.device}")
+            self.logger(f"{self.message}: {elapsed:.3f} seconds on device: {self.device}")
 
 
 class LRU(OrderedDict):
@@ -315,6 +319,7 @@ class ConversationCommand(str, Enum):
     Automation = "automation"
     AutomatedTask = "automated_task"
     Summarize = "summarize"
+    Diagram = "diagram"
 
 
 command_descriptions = {
@@ -324,10 +329,11 @@ command_descriptions = {
     ConversationCommand.Online: "Search for information on the internet.",
     ConversationCommand.Webpage: "Get information from webpage suggested by you.",
     ConversationCommand.Code: "Run Python code to parse information, run complex calculations, create documents and charts.",
-    ConversationCommand.Image: "Generate images by describing your imagination in words.",
+    ConversationCommand.Image: "Generate illustrative, creative images by describing your imagination in words.",
     ConversationCommand.Automation: "Automatically run your query at a specified time or interval.",
     ConversationCommand.Help: "Get help with how to use or setup Khoj from the documentation",
     ConversationCommand.Summarize: "Get help with a question pertaining to an entire document.",
+    ConversationCommand.Diagram: "Draw a flowchart, diagram, or any other visual representation best expressed with primitives like lines, rectangles, and text.",
 }
 
 command_descriptions_for_agent = {
@@ -359,11 +365,16 @@ mode_descriptions_for_llm = {
     ConversationCommand.Image: "Use this if the user is requesting you to generate images based on their description. This does not support generating charts or graphs.",
     ConversationCommand.Automation: "Use this if the user is requesting a response at a scheduled date or time.",
     ConversationCommand.Text: "Use this if the other response modes don't seem to fit the query.",
+    ConversationCommand.Automation: "Use this if you are confident the user is requesting a response at a scheduled date, time and frequency",
+    ConversationCommand.Text: "Use this if a normal text response would be sufficient for accurately responding to the query.",
+    ConversationCommand.Diagram: "Use this if the user is requesting a visual representation that requires primitives like lines, rectangles, and text.",
 }
 
 mode_descriptions_for_agent = {
     ConversationCommand.Image: "Agent can generate images in response. It cannot not use this to generate charts and graphs.",
+    ConversationCommand.Automation: "Agent can schedule a task to run at a scheduled date, time and frequency in response.",
     ConversationCommand.Text: "Agent can generate text in response.",
+    ConversationCommand.Diagram: "Agent can generate a visual representation that requires primitives like lines, rectangles, and text.",
 }
 
 
@@ -445,6 +456,46 @@ def is_internet_connected():
         return False
 
 
+def is_internal_url(url: str) -> bool:
+    """
+    Check if a URL is likely to be internal/non-public.
+
+    Args:
+    url (str): The URL to check.
+
+    Returns:
+    bool: True if the URL is likely internal, False otherwise.
+    """
+    try:
+        parsed_url = urllib.parse.urlparse(url)
+        hostname = parsed_url.hostname
+
+        # Check for localhost
+        if hostname in ["localhost", "127.0.0.1", "::1"]:
+            return True
+
+        # Check for IP addresses in private ranges
+        try:
+            ip = ipaddress.ip_address(hostname)
+            return ip.is_private
+        except ValueError:
+            pass  # Not an IP address, continue with other checks
+
+        # Check for common internal TLDs
+        internal_tlds = [".local", ".internal", ".private", ".corp", ".home", ".lan"]
+        if any(hostname.endswith(tld) for tld in internal_tlds):
+            return True
+
+        # Check for URLs without a TLD
+        if "." not in hostname:
+            return True
+
+        return False
+    except Exception:
+        # If we can't parse the URL or something else goes wrong, assume it's not internal
+        return False
+
+
 def convert_image_to_webp(image_bytes):
     """Convert image bytes to webp format for faster loading"""
     image_io = io.BytesIO(image_bytes)

tests/conftest.py

@@ -178,6 +178,13 @@ def api_user4(default_user4):
     )
 
 
+@pytest.mark.django_db
+@pytest.fixture
+def default_openai_chat_model_option():
+    chat_model = ChatModelOptionsFactory(chat_model="gpt-4o-mini", model_type="openai")
+    return chat_model
+
+
 @pytest.mark.django_db
 @pytest.fixture
 def offline_agent():

tests/helpers.py

@@ -86,7 +86,7 @@ class SubscriptionFactory(factory.django.DjangoModelFactory):
         model = Subscription
 
     user = factory.SubFactory(UserFactory)
-    type = "standard"
+    type = Subscription.Type.STANDARD
     is_recurring = False
     renewal_date = make_aware(datetime.strptime("2100-04-01", "%Y-%m-%d"))
 

tests/test_agents.py

@@ -0,0 +1,211 @@
+# tests/test_agents.py
+import os
+
+import pytest
+from asgiref.sync import sync_to_async
+
+from khoj.database.adapters import AgentAdapters
+from khoj.database.models import Agent, ChatModelOptions, Entry, KhojUser
+from khoj.routers.api import execute_search
+from khoj.utils.helpers import get_absolute_path
+from tests.helpers import ChatModelOptionsFactory
+
+
+def test_create_default_agent(default_user: KhojUser):
+    ChatModelOptionsFactory()
+
+    agent = AgentAdapters.create_default_agent(default_user)
+    assert agent is not None
+    assert agent.input_tools == []
+    assert agent.output_modes == []
+    assert agent.privacy_level == Agent.PrivacyLevel.PUBLIC
+    assert agent.managed_by_admin == True
+
+
+@pytest.mark.anyio
+@pytest.mark.django_db(transaction=True)
+async def test_create_or_update_agent(default_user: KhojUser, default_openai_chat_model_option: ChatModelOptions):
+    new_agent = await AgentAdapters.aupdate_agent(
+        default_user,
+        "Test Agent",
+        "Test Personality",
+        Agent.PrivacyLevel.PRIVATE,
+        "icon",
+        "color",
+        default_openai_chat_model_option.chat_model,
+        [],
+        [],
+        [],
+    )
+    assert new_agent is not None
+    assert new_agent.name == "Test Agent"
+    assert new_agent.privacy_level == Agent.PrivacyLevel.PRIVATE
+    assert new_agent.creator == default_user
+
+
+@pytest.mark.anyio
+@pytest.mark.django_db(transaction=True)
+async def test_create_or_update_agent_with_knowledge_base(
+    default_user2: KhojUser, default_openai_chat_model_option: ChatModelOptions, chat_client
+):
+    full_filename = get_absolute_path("tests/data/markdown/having_kids.markdown")
+    new_agent = await AgentAdapters.aupdate_agent(
+        default_user2,
+        "Test Agent",
+        "Test Personality",
+        Agent.PrivacyLevel.PRIVATE,
+        "icon",
+        "color",
+        default_openai_chat_model_option.chat_model,
+        [full_filename],
+        [],
+        [],
+    )
+    entries = await sync_to_async(list)(Entry.objects.filter(agent=new_agent))
+    file_names = set()
+    for entry in entries:
+        file_names.add(entry.file_path)
+
+    assert new_agent is not None
+    assert new_agent.name == "Test Agent"
+    assert new_agent.privacy_level == Agent.PrivacyLevel.PRIVATE
+    assert new_agent.creator == default_user2
+    assert len(entries) > 0
+    assert full_filename in file_names
+    assert len(file_names) == 1
+
+
+@pytest.mark.anyio
+@pytest.mark.django_db(transaction=True)
+async def test_create_or_update_agent_with_knowledge_base_and_search(
+    default_user2: KhojUser, default_openai_chat_model_option: ChatModelOptions, chat_client
+):
+    full_filename = get_absolute_path("tests/data/markdown/having_kids.markdown")
+    new_agent = await AgentAdapters.aupdate_agent(
+        default_user2,
+        "Test Agent",
+        "Test Personality",
+        Agent.PrivacyLevel.PRIVATE,
+        "icon",
+        "color",
+        default_openai_chat_model_option.chat_model,
+        [full_filename],
+        [],
+        [],
+    )
+
+    search_result = await execute_search(user=default_user2, q="having kids", agent=new_agent)
+
+    assert len(search_result) == 5
+
+
+@pytest.mark.anyio
+@pytest.mark.django_db(transaction=True)
+async def test_agent_with_knowledge_base_and_search_not_creator(
+    default_user2: KhojUser, default_openai_chat_model_option: ChatModelOptions, chat_client, default_user3: KhojUser
+):
+    full_filename = get_absolute_path("tests/data/markdown/having_kids.markdown")
+    new_agent = await AgentAdapters.aupdate_agent(
+        default_user2,
+        "Test Agent",
+        "Test Personality",
+        Agent.PrivacyLevel.PUBLIC,
+        "icon",
+        "color",
+        default_openai_chat_model_option.chat_model,
+        [full_filename],
+        [],
+        [],
+    )
+
+    search_result = await execute_search(user=default_user3, q="having kids", agent=new_agent)
+
+    assert len(search_result) == 5
+
+
+@pytest.mark.anyio
+@pytest.mark.django_db(transaction=True)
+async def test_agent_with_knowledge_base_and_search_not_creator_and_private(
+    default_user2: KhojUser, default_openai_chat_model_option: ChatModelOptions, chat_client, default_user3: KhojUser
+):
+    full_filename = get_absolute_path("tests/data/markdown/having_kids.markdown")
+    new_agent = await AgentAdapters.aupdate_agent(
+        default_user2,
+        "Test Agent",
+        "Test Personality",
+        Agent.PrivacyLevel.PRIVATE,
+        "icon",
+        "color",
+        default_openai_chat_model_option.chat_model,
+        [full_filename],
+        [],
+        [],
+    )
+
+    search_result = await execute_search(user=default_user3, q="having kids", agent=new_agent)
+
+    assert len(search_result) == 0
+
+
+@pytest.mark.anyio
+@pytest.mark.django_db(transaction=True)
+async def test_agent_with_knowledge_base_and_search_not_creator_and_private_accessible_to_none(
+    default_user2: KhojUser, default_openai_chat_model_option: ChatModelOptions, chat_client
+):
+    full_filename = get_absolute_path("tests/data/markdown/having_kids.markdown")
+    new_agent = await AgentAdapters.aupdate_agent(
+        default_user2,
+        "Test Agent",
+        "Test Personality",
+        Agent.PrivacyLevel.PRIVATE,
+        "icon",
+        "color",
+        default_openai_chat_model_option.chat_model,
+        [full_filename],
+        [],
+        [],
+    )
+
+    search_result = await execute_search(user=None, q="having kids", agent=new_agent)
+
+    assert len(search_result) == 5
+
+
+@pytest.mark.anyio
+@pytest.mark.django_db(transaction=True)
+async def test_multiple_agents_with_knowledge_base_and_users(
+    default_user2: KhojUser, default_openai_chat_model_option: ChatModelOptions, chat_client, default_user3: KhojUser
+):
+    full_filename = get_absolute_path("tests/data/markdown/having_kids.markdown")
+    new_agent = await AgentAdapters.aupdate_agent(
+        default_user2,
+        "Test Agent",
+        "Test Personality",
+        Agent.PrivacyLevel.PUBLIC,
+        "icon",
+        "color",
+        default_openai_chat_model_option.chat_model,
+        [full_filename],
+        [],
+        [],
+    )
+
+    full_filename2 = get_absolute_path("tests/data/markdown/Namita.markdown")
+    new_agent2 = await AgentAdapters.aupdate_agent(
+        default_user2,
+        "Test Agent 2",
+        "Test Personality",
+        Agent.PrivacyLevel.PUBLIC,
+        "icon",
+        "color",
+        default_openai_chat_model_option.chat_model,
+        [full_filename2],
+        [],
+        [],
+    )
+
+    search_result = await execute_search(user=default_user3, q="having kids", agent=new_agent2)
+    search_result2 = await execute_search(user=default_user3, q="Namita", agent=new_agent2)
+
+    assert len(search_result) == 0
+    assert len(search_result2) == 1

tests/test_pdf_to_entries.py

@@ -1,6 +1,8 @@
 import os
 import re
 
+import pytest
+
 from khoj.processor.content.pdf.pdf_to_entries import PdfToEntries
 from khoj.utils.fs_syncer import get_pdf_files
 from khoj.utils.rawconfig import TextContentConfig
@@ -37,6 +39,7 @@ def test_multi_page_pdf_to_jsonl():
     assert len(entries[1]) == 6
 
 
+@pytest.mark.skip(reason="Temporarily disabled OCR due to performance issues")
 def test_ocr_page_pdf_to_jsonl():
     "Convert multiple pages from single PDF file to jsonl."
     # Arrange

versions.json

@@ -77,5 +77,10 @@
 	"1.23.3": "0.15.0",
 	"1.24.0": "0.15.0",
 	"1.24.1": "0.15.0",
-	"1.25.0": "0.15.0"
+	"1.25.0": "0.15.0",
+	"1.26.0": "0.15.0",
+	"1.26.1": "0.15.0",
+	"1.26.2": "0.15.0",
+	"1.26.3": "0.15.0",
+	"1.26.4": "0.15.0"
 }