✨enhancement: model run improvement (#5268)

* fix: mcp tool error handling

* fix: error message

* fix: trigger download from recommend model

* fix: can't scroll hub

* fix: show progress

* ✨enhancement: prompt users to increase context size

* ✨enhancement: rearrange action buttons for a better UX

* 🔧chore: clean up logics

---------

Co-authored-by: Faisal Amir <urmauur@gmail.com>

extensions/inference-cortex-extension/src/index.ts

@@ -62,6 +62,7 @@ export default class JanInferenceCortexExtension extends LocalOAIEngine {
   cache_type: string = 'q8'
   cpu_threads?: number
   auto_unload_models: boolean = true
+  reasoning_budget = -1 // Default reasoning budget in seconds
   /**
    * The URL for making inference requests.
    */
@@ -230,8 +231,6 @@ export default class JanInferenceCortexExtension extends LocalOAIEngine {
 
     const loadedModels = await this.activeModels()
 
-    console.log('Loaded models:', loadedModels)
-
     // This is to avoid loading the same model multiple times
     if (loadedModels.some((e: { id: string }) => e.id === model.id)) {
       console.log(`Model ${model.id} already loaded`)
@@ -269,6 +268,10 @@ export default class JanInferenceCortexExtension extends LocalOAIEngine {
             ...(this.cont_batching && this.n_parallel && this.n_parallel > 1
               ? { cont_batching: this.cont_batching }
               : {}),
+            ...(model.id.toLowerCase().includes('jan-nano')
+              ? { reasoning_budget: 0 }
+              : { reasoning_budget: this.reasoning_budget }),
+            ...{ 'no-context-shift': true },
           },
           timeout: false,
           signal,

src-tauri/src/core/mcp.rs

@@ -377,7 +377,12 @@ pub async fn call_tool(
                 });
 
                 return match timeout(MCP_TOOL_CALL_TIMEOUT, tool_call).await {
-                    Ok(result) => result.map_err(|e| e.to_string()),
+                    Ok(result) => {
+                        match result {
+                            Ok(ok_result) => Ok(ok_result),
+                            Err(e) => Err(e.to_string()),
+                        }
+                    }
                     Err(_) => Err(format!(
                         "Tool call '{}' timed out after {} seconds",
                         tool_name,

web-app/src/containers/ChatInput.tsx

@@ -36,6 +36,7 @@ import { ModelLoader } from '@/containers/loaders/ModelLoader'
 import DropdownToolsAvailable from '@/containers/DropdownToolsAvailable'
 import { getConnectedServers } from '@/services/mcp'
 import { stopAllModels } from '@/services/models'
+import { useOutOfContextPromiseModal } from './dialogs/OutOfContextDialog'
 
 type ChatInputProps = {
   className?: string
@@ -60,6 +61,8 @@ const ChatInput = ({
   const { t } = useTranslation()
   const { spellCheckChatInput } = useGeneralSetting()
   const { tokenSpeed } = useAppState()
+  const { showModal, PromiseModal: OutOfContextModal } =
+    useOutOfContextPromiseModal()
   const maxRows = 10
 
   const { selectedModel } = useModelProvider()
@@ -110,7 +113,7 @@ const ChatInput = ({
       return
     }
     setMessage('')
-    sendMessage(prompt)
+    sendMessage(prompt, showModal)
   }
 
   useEffect(() => {
@@ -611,6 +614,7 @@ const ChatInput = ({
           </div>
         </div>
       )}
+      <OutOfContextModal />
     </div>
   )
 }

web-app/src/containers/ThreadContent.tsx

@@ -1,6 +1,6 @@
 import { ThreadMessage } from '@janhq/core'
 import { RenderMarkdown } from './RenderMarkdown'
-import { Fragment, memo, useCallback, useMemo, useState } from 'react'
+import React, { Fragment, memo, useCallback, useMemo, useState } from 'react'
 import {
   IconCopy,
   IconCopyCheck,
@@ -79,6 +79,8 @@ export const ThreadContent = memo(
       showAssistant?: boolean
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
       streamTools?: any
+      contextOverflowModal?: React.ReactNode | null
+      showContextOverflowModal?: () => Promise<unknown>
     }
   ) => {
     const [message, setMessage] = useState(item.content?.[0]?.text?.value || '')
@@ -129,7 +131,10 @@ export const ThreadContent = memo(
       }
       if (toSendMessage) {
         deleteMessage(toSendMessage.thread_id, toSendMessage.id ?? '')
-        sendMessage(toSendMessage.content?.[0]?.text?.value || '')
+        sendMessage(
+          toSendMessage.content?.[0]?.text?.value || '',
+          item.showContextOverflowModal
+        )
       }
     }, [deleteMessage, getMessages, item, sendMessage])
 
@@ -162,15 +167,25 @@ export const ThreadContent = memo(
     const editMessage = useCallback(
       (messageId: string) => {
         const threadMessages = getMessages(item.thread_id)
+
         const index = threadMessages.findIndex((msg) => msg.id === messageId)
         if (index === -1) return
+
         // Delete all messages after the edited message
         for (let i = threadMessages.length - 1; i >= index; i--) {
           deleteMessage(threadMessages[i].thread_id, threadMessages[i].id)
         }
-        sendMessage(message)
+
+        sendMessage(message, item.showContextOverflowModal)
       },
-      [deleteMessage, getMessages, item.thread_id, message, sendMessage]
+      [
+        deleteMessage,
+        getMessages,
+        item.thread_id,
+        message,
+        sendMessage,
+        item.showContextOverflowModal,
+      ]
     )
 
     const isToolCalls =
@@ -445,6 +460,7 @@ export const ThreadContent = memo(
             {image.detail && <p className="text-sm mt-1">{image.detail}</p>}
           </div>
         )}
+        {item.contextOverflowModal && item.contextOverflowModal}
       </Fragment>
     )
   }

web-app/src/containers/dialogs/OutOfContextDialog.tsx

@@ -0,0 +1,104 @@
+import { t } from 'i18next'
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from '@/components/ui/dialog'
+
+import { ReactNode, useCallback, useState } from 'react'
+import { Button } from '@/components/ui/button'
+
+export function useOutOfContextPromiseModal() {
+  const [isOpen, setIsOpen] = useState(false)
+  const [modalProps, setModalProps] = useState<{
+    resolveRef: ((value: unknown) => void) | null
+  }>({
+    resolveRef: null,
+  })
+  // Function to open the modal and return a Promise
+  const showModal = useCallback(() => {
+    return new Promise((resolve) => {
+      setModalProps({
+        resolveRef: resolve,
+      })
+      setIsOpen(true)
+    })
+  }, [])
+
+  const PromiseModal = useCallback((): ReactNode => {
+    if (!isOpen) {
+      return null
+    }
+
+    const handleConfirm = () => {
+      setIsOpen(false)
+      if (modalProps.resolveRef) {
+        modalProps.resolveRef(true)
+      }
+    }
+
+    const handleCancel = () => {
+      setIsOpen(false)
+      if (modalProps.resolveRef) {
+        modalProps.resolveRef(false)
+      }
+    }
+
+    return (
+      <Dialog
+        open={isOpen}
+        onOpenChange={(open) => {
+          setIsOpen(open)
+          if (!open) handleCancel()
+        }}
+      >
+        <DialogContent>
+          <DialogHeader>
+            <DialogTitle>
+              {t('outOfContextError.title', 'Out of context error')}
+            </DialogTitle>
+          </DialogHeader>
+          <DialogDescription>
+            {t(
+              'outOfContextError.description',
+              'This chat is reaching the AI’s memory limit, like a whiteboard filling up. We can expand the memory window (called context size) so it remembers more, but it may use more of your computer’s memory.'
+            )}
+            <br />
+            <br />
+            {t(
+              'outOfContextError.increaseContextSizeDescription',
+              'Do you want to increase the context size?'
+            )}
+          </DialogDescription>
+          <DialogFooter className="flex gap-2">
+            <Button
+              variant="default"
+              className="bg-transparent border border-main-view-fg/20 hover:bg-main-view-fg/4"
+              onClick={() => setIsOpen(false)}
+            >
+              {t('common.cancel', 'Cancel')}
+            </Button>
+            <Button
+              asChild
+              onClick={() => {
+                handleConfirm()
+                setIsOpen(false)
+              }}
+            >
+              <span className="text-main-view-fg/70">
+                {t(
+                  'outOfContextError.increaseContextSize',
+                  'Increase Context Size'
+                )}
+              </span>
+            </Button>
+          </DialogFooter>
+        </DialogContent>
+      </Dialog>
+    )
+  }, [isOpen, modalProps])
+  return { showModal, PromiseModal }
+}

web-app/src/hooks/useAppState.ts

@@ -12,6 +12,7 @@ type AppState = {
   abortControllers: Record<string, AbortController>
   tokenSpeed?: TokenSpeed
   currentToolCall?: ChatCompletionMessageToolCall
+  showOutOfContextDialog?: boolean
   setServerStatus: (value: 'running' | 'stopped' | 'pending') => void
   updateStreamingContent: (content: ThreadMessage | undefined) => void
   updateCurrentToolCall: (
@@ -22,6 +23,7 @@ type AppState = {
   setAbortController: (threadId: string, controller: AbortController) => void
   updateTokenSpeed: (message: ThreadMessage) => void
   resetTokenSpeed: () => void
+  setOutOfContextDialog: (show: boolean) => void
 }
 
 export const useAppState = create<AppState>()((set) => ({
@@ -99,4 +101,9 @@ export const useAppState = create<AppState>()((set) => ({
     set({
       tokenSpeed: undefined,
     }),
+  setOutOfContextDialog: (show) => {
+    set(() => ({
+      showOutOfContextDialog: show,
+    }))
+  },
 }))

web-app/src/hooks/useChat.ts

@@ -24,10 +24,11 @@ import { getTools } from '@/services/mcp'
 import { MCPTool } from '@/types/completion'
 import { listen } from '@tauri-apps/api/event'
 import { SystemEvent } from '@/types/events'
-import { stopModel, startModel } from '@/services/models'
+import { stopModel, startModel, stopAllModels } from '@/services/models'
 
 import { useToolApproval } from '@/hooks/useToolApproval'
 import { useToolAvailable } from '@/hooks/useToolAvailable'
+import { OUT_OF_CONTEXT_SIZE } from '@/utils/error'
 
 export const useChat = () => {
   const { prompt, setPrompt } = usePrompt()
@@ -41,6 +42,7 @@ export const useChat = () => {
     setAbortController,
   } = useAppState()
   const { currentAssistant } = useAssistant()
+  const { updateProvider } = useModelProvider()
 
   const { approvedTools, showApprovalModal, allowAllMCPPermissions } =
     useToolApproval()
@@ -108,8 +110,60 @@ export const useChat = () => {
     currentAssistant,
   ])
 
+  const increaseModelContextSize = useCallback(
+    (model: Model, provider: ProviderObject) => {
+      /**
+       * Should increase the context size of the model by 2x
+       * If the context size is not set or too low, it defaults to 8192.
+       */
+      const ctxSize = Math.max(
+        model.settings?.ctx_len?.controller_props.value
+          ? typeof model.settings.ctx_len.controller_props.value === 'string'
+            ? parseInt(model.settings.ctx_len.controller_props.value as string)
+            : (model.settings.ctx_len.controller_props.value as number)
+          : 8192,
+        8192
+      )
+      const updatedModel = {
+        ...model,
+        settings: {
+          ...model.settings,
+          ctx_len: {
+            ...(model.settings?.ctx_len != null ? model.settings?.ctx_len : {}),
+            controller_props: {
+              ...(model.settings?.ctx_len?.controller_props ?? {}),
+              value: ctxSize * 2,
+            },
+          },
+        },
+      }
+
+      // Find the model index in the provider's models array
+      const modelIndex = provider.models.findIndex((m) => m.id === model.id)
+
+      if (modelIndex !== -1) {
+        // Create a copy of the provider's models array
+        const updatedModels = [...provider.models]
+
+        // Update the specific model in the array
+        updatedModels[modelIndex] = updatedModel as Model
+
+        // Update the provider with the new models array
+        updateProvider(provider.provider, {
+          models: updatedModels,
+        })
+      }
+      stopAllModels()
+    },
+    [updateProvider]
+  )
+
   const sendMessage = useCallback(
-    async (message: string) => {
+    async (
+      message: string,
+      showModal?: () => Promise<unknown>,
+      troubleshooting = true
+    ) => {
       const activeThread = await getCurrentThread()
 
       resetTokenSpeed()
@@ -121,6 +175,8 @@ export const useChat = () => {
       const abortController = new AbortController()
       setAbortController(activeThread.id, abortController)
       updateStreamingContent(emptyThreadContent)
+      // Do not add new message on retry
+      if (troubleshooting)
         addMessage(newUserThreadContent(activeThread.id, message))
       updateThreadTimestamp(activeThread.id)
       setPrompt('')
@@ -180,6 +236,14 @@ export const useChat = () => {
             }
           } else {
             for await (const part of completion) {
+              // Error message
+              if (!part.choices) {
+                throw new Error(
+                  'message' in part
+                    ? (part.message as string)
+                    : (JSON.stringify(part) ?? '')
+                )
+              }
               const delta = part.choices[0]?.delta?.content || ''
 
               if (part.choices[0]?.delta?.tool_calls) {
@@ -252,9 +316,26 @@ export const useChat = () => {
           if (!followUpWithToolUse) availableTools = []
         }
       } catch (error) {
-        toast.error(
+        const errorMessage =
-          `Error sending message: ${error && typeof error === 'object' && 'message' in error ? error.message : error}`
+          error && typeof error === 'object' && 'message' in error
-        )
+            ? error.message
+            : error
+        if (
+          typeof errorMessage === 'string' &&
+          errorMessage.includes(OUT_OF_CONTEXT_SIZE) &&
+          selectedModel &&
+          troubleshooting
+        ) {
+          showModal?.().then((confirmed) => {
+            if (confirmed) {
+              increaseModelContextSize(selectedModel, activeProvider)
+              setTimeout(() => {
+                sendMessage(message, showModal, false) // Retry sending the message without troubleshooting
+              }, 1000)
+            }
+          })
+        }
+        toast.error(`Error sending message: ${errorMessage}`)
         console.error('Error sending message:', error)
       } finally {
         updateLoadingModel(false)
@@ -282,6 +363,7 @@ export const useChat = () => {
       allowAllMCPPermissions,
       showApprovalModal,
       updateTokenSpeed,
+      increaseModelContextSize,
     ]
   )
 

web-app/src/lib/completion.ts

@@ -134,7 +134,8 @@ export const sendCompletion = async (
     thread.model.id &&
     !(thread.model.id in Object.values(models).flat()) &&
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    !tokenJS.extendedModelExist(providerName as any, thread.model?.id)
+    !tokenJS.extendedModelExist(providerName as any, thread.model?.id) &&
+    provider.provider !== 'llama.cpp'
   ) {
     try {
       tokenJS.extendModelList(
@@ -323,7 +324,7 @@ export const postMessageProcessing = async (
           ? await showModal(toolCall.function.name, message.thread_id)
           : true)
 
-      const result = approved
+      let result = approved
         ? await callTool({
             toolName: toolCall.function.name,
             arguments: toolCall.function.arguments.length
@@ -335,7 +336,7 @@ export const postMessageProcessing = async (
               content: [
                 {
                   type: 'text',
-                  text: `Error calling tool ${toolCall.function.name}: ${e.message}`,
+                  text: `Error calling tool ${toolCall.function.name}: ${e.message ?? e}`,
                 },
               ],
               error: true,
@@ -350,7 +351,16 @@ export const postMessageProcessing = async (
             ],
           }
 
-      if ('error' in result && result.error) break
+      if (typeof result === 'string') {
+        result = {
+          content: [
+            {
+              type: 'text',
+              text: result,
+            },
+          ],
+        }
+      }
 
       message.metadata = {
         ...(message.metadata ?? {}),

web-app/src/locales/en/common.json

@@ -23,6 +23,7 @@
     "reset": "Reset",
     "search": "Search",
     "name": "Name",
+    "cancel": "Cancel",
 
     "placeholder": {
       "chatInput": "Ask me anything..."

web-app/src/routes/hub.tsx

@@ -77,6 +77,7 @@ function Hub() {
   const addModelSourceTimeoutRef = useRef<ReturnType<typeof setTimeout> | null>(
     null
   )
+  const downloadButtonRef = useRef<HTMLButtonElement>(null)
 
   const { getProviderByName } = useModelProvider()
   const llamaProvider = getProviderByName('llama.cpp')
@@ -233,18 +234,14 @@ function Hub() {
             isRecommended && 'hub-download-button-step'
           )}
         >
-          <div
+          {isDownloading && !isDownloaded && (
-            className={cn(
+            <div className={cn('flex items-center gap-2 w-20')}>
-              'flex items-center gap-2 w-20 ',
-              !isDownloading &&
-                'opacity-0 visibility-hidden w-0 pointer-events-none'
-            )}
-          >
               <Progress value={downloadProgress * 100} />
               <span className="text-xs text-center text-main-view-fg/70">
                 {Math.round(downloadProgress * 100)}%
               </span>
             </div>
+          )}
           {isDownloaded ? (
             <Button size="sm" onClick={() => handleUseModel(modelId)}>
               Use
@@ -254,6 +251,7 @@ function Hub() {
               size="sm"
               onClick={() => downloadModel(modelId)}
               className={cn(isDownloading && 'hidden')}
+              ref={isRecommended ? downloadButtonRef : undefined}
             >
               Download
             </Button>
@@ -266,6 +264,7 @@ function Hub() {
     llamaProvider?.models,
     handleUseModel,
     isRecommendedModel,
+    downloadButtonRef,
   ])
 
   const { step } = useSearch({ from: Route.id })
@@ -291,8 +290,9 @@ function Hub() {
         isRecommendedModel(model.metadata?.id)
       )
       if (recommendedModel && recommendedModel.models[0]?.id) {
-        downloadModel(recommendedModel.models[0].id)
+        if (downloadButtonRef.current) {
-
+          downloadButtonRef.current.click()
+        }
         return
       }
     }
@@ -413,7 +413,7 @@ function Hub() {
               </div>
             </div>
           </HeaderPage>
-          <div className="p-4 w-full h-[calc(100%-32px)] overflow-y-auto first-step-setup-local-provider">
+          <div className="p-4 w-full h-[calc(100%-32px)] !overflow-y-auto first-step-setup-local-provider">
             <div className="flex flex-col h-full justify-between gap-4 gap-y-3 w-4/5 mx-auto">
               {loading ? (
                 <div className="flex items-center justify-center">

web-app/src/routes/threads/$threadId.tsx

@@ -18,6 +18,7 @@ import { useAppState } from '@/hooks/useAppState'
 import DropdownAssistant from '@/containers/DropdownAssistant'
 import { useAssistant } from '@/hooks/useAssistant'
 import { useAppearance } from '@/hooks/useAppearance'
+import { useOutOfContextPromiseModal } from '@/containers/dialogs/OutOfContextDialog'
 
 // as route.threadsDetail
 export const Route = createFileRoute('/threads/$threadId')({
@@ -47,6 +48,8 @@ function ThreadDetail() {
   const scrollContainerRef = useRef<HTMLDivElement>(null)
   const isFirstRender = useRef(true)
   const messagesCount = useMemo(() => messages?.length ?? 0, [messages])
+  const { showModal, PromiseModal: OutOfContextModal } =
+    useOutOfContextPromiseModal()
 
   // Function to check scroll position and scrollbar presence
   const checkScrollState = () => {
@@ -193,6 +196,8 @@ function ThreadDetail() {
 
   if (!messages || !threadModel) return null
 
+  const contextOverflowModalComponent = <OutOfContextModal />
+
   return (
     <div className="flex flex-col h-full">
       <HeaderPage>
@@ -233,6 +238,8 @@ function ThreadDetail() {
                           ))
                       }
                       index={index}
+                      showContextOverflowModal={showModal}
+                      contextOverflowModal={contextOverflowModalComponent}
                     />
                   </div>
                 )

web-app/src/utils/error.ts

@@ -0,0 +1,2 @@
+export const OUT_OF_CONTEXT_SIZE =
+  'the request exceeds the available context size.'

web-app/src/utils/models.ts

@@ -1,6 +1,6 @@
 export const hardcodedModel = {
-  author: 'Menlo',
+  author: 'menlo',
-  id: 'Menlo/Jan-nano',
+  id: 'menlo/jan-nano',
   metadata: {
     '_id': '68492cd9cada68b1d11ca1bd',
     'author': 'Menlo',
@@ -12,7 +12,7 @@ export const hardcodedModel = {
     'description':
       '---\nlicense: apache-2.0\npipeline_tag: text-generation\n---\n# Jan Nano\n\n\n\n![image/png](https://cdn-uploads.huggingface.co/production/uploads/657a81129ea9d52e5cbd67f7/YQci8jiHjAAFpXWYOadrU.png)\n\n## Overview\n\nJan Nano is a fine-tuned language model built on top of the Qwen3 architecture. Developed as part of the Jan ecosystem, it balances compact size and extended context length, making it ideal for efficient, high-quality text generation in local or embedded environments.\n\n## Features\n\n- **Tool Use**: Excellent function calling and tool integration\n- **Research**: Enhanced research and information processing capabilities\n- **Small Model**: VRAM efficient for local deployment\n\n## Use it with Jan (UI)\n\n1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)',
     'disabled': false,
-    'downloads': 939,
+    'downloads': 1434,
     'gated': false,
     'gguf': {
       architecture: 'qwen3',
@@ -25,17 +25,17 @@ export const hardcodedModel = {
       total: 4022468096,
     },
     'id': 'Menlo/Jan-nano',
-    'lastModified': '2025-06-13T05:53:33.000Z',
+    'lastModified': '2025-06-13T16:57:55.000Z',
-    'likes': 2,
+    'likes': 3,
     'model-index': null,
     'modelId': 'Menlo/Jan-nano',
     'pipeline_tag': 'text-generation',
     'private': false,
-    'sha': '782985633ac4080dfdaa52e62d61dcf637e9ff0d',
+    'sha': 'a04aab0878648d8f284c63a52664a482ead16f06',
     'siblings': [
       {
         rfilename: '.gitattributes',
-        size: 1742,
+        size: 3460,
       },
       {
         rfilename: 'README.md',
@@ -45,6 +45,58 @@ export const hardcodedModel = {
         rfilename: 'jan-nano-0.4-iQ4_XS.gguf',
         size: 2270750400,
       },
+      {
+        rfilename: 'jan-nano-4b-Q3_K_L.gguf',
+        size: 2239784384,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q3_K_M.gguf',
+        size: 2075616704,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q3_K_S.gguf',
+        size: 1886995904,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q4_0.gguf',
+        size: 2369545664,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q4_1.gguf',
+        size: 2596627904,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q4_K_M.gguf',
+        size: 2497279424,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q4_K_S.gguf',
+        size: 2383308224,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q5_0.gguf',
+        size: 2823710144,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q5_1.gguf',
+        size: 3050792384,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q5_K_M.gguf',
+        size: 2889512384,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q5_K_S.gguf',
+        size: 2823710144,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q6_K.gguf',
+        size: 3306259904,
+      },
+      {
+        rfilename: 'jan-nano-4b-Q8_0.gguf',
+        size: 4280403904,
+      },
     ],
     'spaces': [],
     'tags': [
@@ -56,7 +108,7 @@ export const hardcodedModel = {
       'imatrix',
       'conversational',
     ],
-    'usedStorage': 20820673088,
+    'usedStorage': 93538518464,
     'widgetData': [
       {
         text: 'Hi, what can you help me with?',
@@ -74,8 +126,60 @@ export const hardcodedModel = {
   },
   models: [
     {
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