Chore: Update in-app copy

electron/package.json

@@ -144,4 +144,4 @@
     "hoistingLimits": "workspaces"
   },
   "packageManager": "[email protected]"
-}
+}

extensions/yarn.lock

@@ -509,71 +509,71 @@ __metadata:
 
 "@janhq/core@file:../../core/package.tgz::locator=%40janhq%2Fassistant-extension%40workspace%3Aassistant-extension":
   version: 0.1.10
-  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=e8dac7&locator=%40janhq%2Fassistant-extension%40workspace%3Aassistant-extension"
+  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=b3efad&locator=%40janhq%2Fassistant-extension%40workspace%3Aassistant-extension"
   dependencies:
     rxjs: "npm:^7.8.1"
     ulidx: "npm:^2.3.0"
-  checksum: 10c0/394734b0cc26f051a9ad138f8ae642d066acff07de26ab7c4b944d190c030cb422ac044da6352461589e13a480425200cbd8e5a549cf0181cd5c9af4b1d7eb2c
+  checksum: 10c0/a617e70c606d6f463fbd82488704a02f75290323c07fcf0242641732efa5e9d067062595f27cefade0ac79b47796ac34ef57ac439e82a5a4888b30e37d019994
   languageName: node
   linkType: hard
 
 "@janhq/core@file:../../core/package.tgz::locator=%40janhq%2Fconversational-extension%40workspace%3Aconversational-extension":
   version: 0.1.10
-  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=e8dac7&locator=%40janhq%2Fconversational-extension%40workspace%3Aconversational-extension"
+  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=b3efad&locator=%40janhq%2Fconversational-extension%40workspace%3Aconversational-extension"
   dependencies:
     rxjs: "npm:^7.8.1"
     ulidx: "npm:^2.3.0"
-  checksum: 10c0/394734b0cc26f051a9ad138f8ae642d066acff07de26ab7c4b944d190c030cb422ac044da6352461589e13a480425200cbd8e5a549cf0181cd5c9af4b1d7eb2c
+  checksum: 10c0/a617e70c606d6f463fbd82488704a02f75290323c07fcf0242641732efa5e9d067062595f27cefade0ac79b47796ac34ef57ac439e82a5a4888b30e37d019994
   languageName: node
   linkType: hard
 
 "@janhq/core@file:../../core/package.tgz::locator=%40janhq%2Fengine-management-extension%40workspace%3Aengine-management-extension":
   version: 0.1.10
-  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=e8dac7&locator=%40janhq%2Fengine-management-extension%40workspace%3Aengine-management-extension"
+  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=b3efad&locator=%40janhq%2Fengine-management-extension%40workspace%3Aengine-management-extension"
   dependencies:
     rxjs: "npm:^7.8.1"
     ulidx: "npm:^2.3.0"
-  checksum: 10c0/394734b0cc26f051a9ad138f8ae642d066acff07de26ab7c4b944d190c030cb422ac044da6352461589e13a480425200cbd8e5a549cf0181cd5c9af4b1d7eb2c
+  checksum: 10c0/a617e70c606d6f463fbd82488704a02f75290323c07fcf0242641732efa5e9d067062595f27cefade0ac79b47796ac34ef57ac439e82a5a4888b30e37d019994
   languageName: node
   linkType: hard
 
 "@janhq/core@file:../../core/package.tgz::locator=%40janhq%2Finference-cortex-extension%40workspace%3Ainference-cortex-extension":
   version: 0.1.10
-  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=e8dac7&locator=%40janhq%2Finference-cortex-extension%40workspace%3Ainference-cortex-extension"
+  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=b3efad&locator=%40janhq%2Finference-cortex-extension%40workspace%3Ainference-cortex-extension"
   dependencies:
     rxjs: "npm:^7.8.1"
     ulidx: "npm:^2.3.0"
-  checksum: 10c0/394734b0cc26f051a9ad138f8ae642d066acff07de26ab7c4b944d190c030cb422ac044da6352461589e13a480425200cbd8e5a549cf0181cd5c9af4b1d7eb2c
+  checksum: 10c0/a617e70c606d6f463fbd82488704a02f75290323c07fcf0242641732efa5e9d067062595f27cefade0ac79b47796ac34ef57ac439e82a5a4888b30e37d019994
   languageName: node
   linkType: hard
 
 "@janhq/core@file:../../core/package.tgz::locator=%40janhq%2Fmodel-extension%40workspace%3Amodel-extension":
   version: 0.1.10
-  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=e8dac7&locator=%40janhq%2Fmodel-extension%40workspace%3Amodel-extension"
+  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=b3efad&locator=%40janhq%2Fmodel-extension%40workspace%3Amodel-extension"
   dependencies:
     rxjs: "npm:^7.8.1"
     ulidx: "npm:^2.3.0"
-  checksum: 10c0/394734b0cc26f051a9ad138f8ae642d066acff07de26ab7c4b944d190c030cb422ac044da6352461589e13a480425200cbd8e5a549cf0181cd5c9af4b1d7eb2c
+  checksum: 10c0/a617e70c606d6f463fbd82488704a02f75290323c07fcf0242641732efa5e9d067062595f27cefade0ac79b47796ac34ef57ac439e82a5a4888b30e37d019994
   languageName: node
   linkType: hard
 
 "@janhq/core@file:../../core/package.tgz::locator=%40janhq%2Fmonitoring-extension%40workspace%3Amonitoring-extension":
   version: 0.1.10
-  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=e8dac7&locator=%40janhq%2Fmonitoring-extension%40workspace%3Amonitoring-extension"
+  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=b3efad&locator=%40janhq%2Fmonitoring-extension%40workspace%3Amonitoring-extension"
   dependencies:
     rxjs: "npm:^7.8.1"
     ulidx: "npm:^2.3.0"
-  checksum: 10c0/394734b0cc26f051a9ad138f8ae642d066acff07de26ab7c4b944d190c030cb422ac044da6352461589e13a480425200cbd8e5a549cf0181cd5c9af4b1d7eb2c
+  checksum: 10c0/a617e70c606d6f463fbd82488704a02f75290323c07fcf0242641732efa5e9d067062595f27cefade0ac79b47796ac34ef57ac439e82a5a4888b30e37d019994
   languageName: node
   linkType: hard
 
 "@janhq/core@file:../../core/package.tgz::locator=%40janhq%2Ftensorrt-llm-extension%40workspace%3Atensorrt-llm-extension":
   version: 0.1.10
-  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=e8dac7&locator=%40janhq%2Ftensorrt-llm-extension%40workspace%3Atensorrt-llm-extension"
+  resolution: "@janhq/core@file:../../core/package.tgz#../../core/package.tgz::hash=b3efad&locator=%40janhq%2Ftensorrt-llm-extension%40workspace%3Atensorrt-llm-extension"
   dependencies:
     rxjs: "npm:^7.8.1"
     ulidx: "npm:^2.3.0"
-  checksum: 10c0/394734b0cc26f051a9ad138f8ae642d066acff07de26ab7c4b944d190c030cb422ac044da6352461589e13a480425200cbd8e5a549cf0181cd5c9af4b1d7eb2c
+  checksum: 10c0/a617e70c606d6f463fbd82488704a02f75290323c07fcf0242641732efa5e9d067062595f27cefade0ac79b47796ac34ef57ac439e82a5a4888b30e37d019994
   languageName: node
   linkType: hard
 
@@ -588,6 +588,7 @@ __metadata:
     p-queue: "npm:^8.0.1"
     rimraf: "npm:^3.0.2"
     rolldown: "npm:^1.0.0-beta.1"
+    run-script-os: "npm:^1.1.6"
     ts-loader: "npm:^9.5.0"
     typescript: "npm:^5.3.3"
   languageName: unknown

web/screens/Thread/ThreadRightPanel/Tools/index.tsx

@@ -115,10 +115,7 @@ const Tools = () => {
                       className="ml-2 flex-shrink-0 text-[hsl(var(--text-secondary))]"
                     />
                   }
-                  content="Retrieval helps the assistant use information from
-                      files you send to it. Once you share a file, the
-                      assistant automatically fetches the relevant content
-                      based on your request."
+                  content="Allows assistant to pull information from your uploaded files to provide context-aware responses."
                 />
               </label>
               <div className="flex items-center justify-between">
@@ -147,13 +144,7 @@ const Tools = () => {
                         className="ml-2 flex-shrink-0 text-[hsl(var(--text-secondary))]"
                       />
                     }
-                    content="Embedding model is crucial for understanding and
-                        processing the input text effectively by
-                        converting text to numerical representations.
-                        Align the model choice with your task, evaluate
-                        its performance, and consider factors like
-                        resource availability. Experiment to find the best
-                        fit for your specific use case."
+                    content="Converts text into numbers for AI processing."
                   />
                 </div>
                 <div className="w-full">
@@ -174,11 +165,7 @@ const Tools = () => {
                           className="ml-2 flex-shrink-0 text-[hsl(var(--text-secondary))]"
                         />
                       }
-                      content="Vector Database is crucial for efficient storage
-                          and retrieval of embeddings. Consider your
-                          specific task, available resources, and language
-                          requirements. Experiment to find the best fit for
-                          your specific use case."
+                      content="Stores and searches text data efficiently. Pick settings that balance speed and accuracy for your data size."
                     />
                   </label>
                 </div>
@@ -202,11 +189,7 @@ const Tools = () => {
                         className="ml-2 flex-shrink-0 text-[hsl(var(--text-secondary))]"
                       />
                     }
-                    content="Time-Weighted Retriever looks at how similar
-                                they are and how new they are. It compares
-                                documents based on their meaning like usual, but
-                                also considers when they were added to give
-                                newer ones more importance."
+                    content="Prioritizes newer documents while searching but still considers older ones. Newer content gets higher importance when finding relevant information."
                   />
                   <div className="ml-auto flex items-center justify-between">
                     <Switch

web/utils/predefinedComponent.ts

@@ -4,7 +4,7 @@
   prompt_template: {
     key: 'prompt_template',
     title: 'Prompt template',
-    description: `A predefined text or framework that guides the AI model's response generation. It includes placeholders or instructions for the model to fill in or expand upon.`,
+    description: `A structured format that guides how the model should respond.`,
     controllerType: 'input',
     controllerProps: {
       placeholder: 'Prompt template',
@@ -16,7 +16,7 @@
   stop: {
     key: 'stop',
     title: 'Stop',
-    description: `Defines specific tokens or phrases that signal the model to stop producing further output, allowing you to control the length and coherence of the output.`,
+    description: `Defines tokens or phrases that will end the model's response.`,
     controllerType: 'tag',
     controllerProps: {
       placeholder: 'Enter stop words',
@@ -28,7 +28,7 @@
   ctx_len: {
     key: 'ctx_len',
     title: 'Context Length',
-    description: `Sets the maximum input the model can use to generate a response, it varies with the model used. Higher length is better for tasks needing extensive context, like summarizing long documents. Lower length can improve response time and reduce computing needs for simple queries.`,
+    description: `Controls how much text the model can consider at once. Longer context allows the model to handle more input but uses more memory and runs slower.`,
     controllerType: 'slider',
     controllerProps: {
       min: 128,
@@ -42,7 +42,7 @@
   max_tokens: {
     key: 'max_tokens',
     title: 'Max Tokens',
-    description: `Sets the upper limit on the number of tokens the model can generate in a single output. A higher limit benefits detailed and complex responses, while a lower limit helps maintain conciseness.`,
+    description: `Controls response length. Higher values allow longer, more detailed responses.`,
     controllerType: 'slider',
     controllerProps: {
       min: 100,
@@ -56,7 +56,7 @@
   ngl: {
     key: 'ngl',
     title: 'Number of GPU layers (ngl)',
-    description: 'The number of layers to load onto the GPU for acceleration.',
+    description: 'Controls how many layers of the model run on GPU. More layers means faster processing, but requires more GPU memory.',
     controllerType: 'slider',
     controllerProps: {
       min: 1,
@@ -81,7 +81,7 @@
   stream: {
     key: 'stream',
     title: 'Stream',
-    description: `Enables real-time data processing, which is useful for applications needing immediate responses, like live interactions. It accelerates predictions by processing data as it becomes available.`,
+    description: `Enables real-time response streaming.`,
     controllerType: 'checkbox',
     controllerProps: {
       value: false,
@@ -92,7 +92,7 @@
   temperature: {
     key: 'temperature',
     title: 'Temperature',
-    description: `Influences the randomness of the model's output. A higher value leads to more random and diverse responses, while a lower value produces more predictable outputs.`,
+    description: `Controls response randomness. Higher values produce more creative, varied responses. `,
     controllerType: 'slider',
     controllerProps: {
       min: 0,
@@ -106,7 +106,7 @@
   frequency_penalty: {
     key: 'frequency_penalty',
     title: 'Frequency Penalty',
-    description: `Modifies the likelihood of the model repeating the same words or phrases within a single output. Increasing it can help avoid repetition, which is useful for scenarios where you want more varied language, like creative writing or content generation.`,
+    description: `Reduces word repetition. Higher values encourage more varied language. Useful for creative writing and content generation.`,
     controllerType: 'slider',
     controllerProps: {
       min: 0,
@@ -120,7 +120,7 @@
   presence_penalty: {
     key: 'presence_penalty',
     title: 'Presence Penalty',
-    description: `Reduces the likelihood of repeating tokens, promoting novelty in the output. Use a higher value for tasks requiring diverse ideas.`,
+    description: `Encourages the model to explore new topics. Higher values help prevent the model from fixating on already-discussed subjects.`,
     controllerType: 'slider',
     controllerProps: {
       min: 0,
@@ -134,7 +134,7 @@
   top_p: {
     key: 'top_p',
     title: 'Top P',
-    description: `Set probability threshold for more relevant outputs. A lower value (e.g., 0.9) may be more suitable for focused, task-oriented applications, while a higher value (e.g., 0.95 or 0.97) may be better for more open-ended, creative tasks.`,
+    description: `Set probability threshold for more relevant outputs. Higher values allow more diverse word choices.`,
     controllerType: 'slider',
     controllerProps: {
       min: 0,
@@ -149,7 +149,7 @@
     key: 'cpu_threads',
     title: 'CPU Threads',
     description:
-      'Determines CPU inference threads, limited by hardware and OS. (Maximum determined by system)',
+      'Controls how many CPU cores are used for processing. Higher values can speed up model loading but use more system resources.',
     controllerType: 'slider',
     controllerProps: {
       min: 0,
@@ -164,7 +164,7 @@
   chunk_size: {
     key: 'chunk_size',
     title: 'Chunk Size',
-    description: 'Maximum number of tokens in a chunk',
+    description: 'Sets the maximum number of tokens per data chunk. Increase size for processing large blocks of text efficiently, or decrease it to optimize memory usage.',
     controllerType: 'slider',
     controllerProps: {
       min: 128,
@@ -178,7 +178,7 @@
   chunk_overlap: {
     key: 'chunk_overlap',
     title: 'Chunk Overlap',
-    description: 'Number of tokens overlapping between two adjacent chunks',
+    description: 'How many words overlap between text segments. More overlap helps maintain meaning across splits.',
     controllerType: 'slider',
     controllerProps: {
       min: 32,
@@ -192,7 +192,7 @@
   top_k: {
     key: 'top_k',
     title: 'Top K',
-    description: 'Number of top-ranked documents to retrieve',
+    description: 'Number of most relevant documents to retrieve. Higher values return more results.',
     controllerType: 'slider',
     controllerProps: {
       min: 1,
@@ -206,8 +206,8 @@
   retrieval_template: {
     key: 'retrieval_template',
     title: 'Retrieval Template',
     description:
-      'The template to use for retrieval. The following variables are available: {CONTEXT}, {QUESTION}',
+      'Format for how the AI uses context to answer questions.',
     controllerType: 'input',
     controllerProps: {
       placeholder: 'Retrieval Template',