* server: add model management and proxy * fix compile error * does this fix windows? * fix windows build * use subprocess.h, better logging * add test * fix windows * feat: Model/Router server architecture WIP * more stable * fix unsafe pointer * also allow terminate loading model * add is_active() * refactor: Architecture improvements * tmp apply upstream fix * address most problems * address thread safety issue * address review comment * add docs (first version) * address review comment * feat: Improved UX for model information, modality interactions etc * chore: update webui build output * refactor: Use only the message data `model` property for displaying model used info * chore: update webui build output * add --models-dir param * feat: New Model Selection UX WIP * chore: update webui build output * feat: Add auto-mic setting * feat: Attachments UX improvements * implement LRU * remove default model path * better --models-dir * add env for args * address review comments * fix compile * refactor: Chat Form Submit component * ad endpoint docs * Merge remote-tracking branch 'webui/allozaur/server_model_management_v1_2' into xsn/server_model_maagement_v1_2 Co-authored-by: Aleksander <aleksander.grygier@gmail.com> * feat: Add copy to clipboard to model name in model info dialog * feat: Model unavailable UI state for model selector * feat: Chat Form Actions UI logic improvements * feat: Auto-select model from last assistant response * chore: update webui build output * expose args and exit_code in API * add note * support extra_args on loading model * allow reusing args if auto_load * typo docs * oai-compat /models endpoint * cleaner * address review comments * feat: Use `model` property for displaying the `repo/model-name` naming format * refactor: Attachments data * chore: update webui build output * refactor: Enum imports * feat: Improve Model Selector responsiveness * chore: update webui build output * refactor: Cleanup * refactor: Cleanup * refactor: Formatters * chore: update webui build output * refactor: Copy To Clipboard Icon component * chore: update webui build output * refactor: Cleanup * chore: update webui build output * refactor: UI badges * chore: update webui build output * refactor: Cleanup * refactor: Cleanup * chore: update webui build output * add --models-allow-extra-args for security * nits * add stdin_file * fix merge * fix: Retrieve lost setting after resolving merge conflict * refactor: DatabaseStore -> DatabaseService * refactor: Database, Conversations & Chat services + stores architecture improvements (WIP) * refactor: Remove redundant settings * refactor: Multi-model business logic WIP * chore: update webui build output * feat: Switching models logic for ChatForm or when regenerating messges + modality detection logic * chore: update webui build output * fix: Add `untrack` inside chat processing info data logic to prevent infinite effect * fix: Regenerate * feat: Remove redundant settigns + rearrange * fix: Audio attachments * refactor: Icons * chore: update webui build output * feat: Model management and selection features WIP * chore: update webui build output * refactor: Improve server properties management * refactor: Icons * chore: update webui build output * feat: Improve model loading/unloading status updates * chore: update webui build output * refactor: Improve API header management via utility functions * remove support for extra args * set hf_repo/docker_repo as model alias when posible * refactor: Remove ConversationsService * refactor: Chat requests abort handling * refactor: Server store * tmp webui build * refactor: Model modality handling * chore: update webui build output * refactor: Processing state reactivity * fix: UI * refactor: Services/Stores syntax + logic improvements Refactors components to access stores directly instead of using exported getter functions. This change centralizes store access and logic, simplifying component code and improving maintainability by reducing the number of exported functions and promoting direct store interaction. Removes exported getter functions from `chat.svelte.ts`, `conversations.svelte.ts`, `models.svelte.ts` and `settings.svelte.ts`. * refactor: Architecture cleanup * feat: Improve statistic badges * feat: Condition available models based on modality + better model loading strategy & UX * docs: Architecture documentation * feat: Update logic for PDF as Image * add TODO for http client * refactor: Enhance model info and attachment handling * chore: update webui build output * refactor: Components naming * chore: update webui build output * refactor: Cleanup * refactor: DRY `getAttachmentDisplayItems` function + fix UI * chore: update webui build output * fix: Modality detection improvement for text-based PDF attachments * refactor: Cleanup * docs: Add info comment * refactor: Cleanup * re * refactor: Cleanup * refactor: Cleanup * feat: Attachment logic & UI improvements * refactor: Constants * feat: Improve UI sidebar background color * chore: update webui build output * refactor: Utils imports + move types to `app.d.ts` * test: Fix Storybook mocks * chore: update webui build output * test: Update Chat Form UI tests * refactor: Tooltip Provider from core layout * refactor: Tests to separate location * decouple server_models from server_routes * test: Move demo test to tests/server * refactor: Remove redundant method * chore: update webui build output * also route anthropic endpoints * fix duplicated arg * fix invalid ptr to shutdown_handler * server : minor * rm unused fn * add ?autoload=true|false query param * refactor: Remove redundant code * docs: Update README documentations + architecture & data flow diagrams * fix: Disable autoload on calling server props for the model * chore: update webui build output * fix ubuntu build * fix: Model status reactivity * fix: Modality detection for MODEL mode * chore: update webui build output --------- Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
207 lines
6.3 KiB
Svelte
207 lines
6.3 KiB
Svelte
<script module lang="ts">
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import { defineMeta } from '@storybook/addon-svelte-csf';
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import ChatMessage from '$lib/components/app/chat/ChatMessages/ChatMessage.svelte';
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const { Story } = defineMeta({
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title: 'Components/ChatScreen/ChatMessage',
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component: ChatMessage,
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parameters: {
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layout: 'centered'
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}
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});
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// Mock messages for different scenarios
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const userMessage: DatabaseMessage = {
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id: '1',
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convId: 'conv-1',
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type: 'message',
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timestamp: Date.now() - 1000 * 60 * 5,
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role: 'user',
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content: 'What is the meaning of life, the universe, and everything?',
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parent: '',
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thinking: '',
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children: []
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};
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const assistantMessage: DatabaseMessage = {
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id: '2',
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convId: 'conv-1',
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type: 'message',
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timestamp: Date.now() - 1000 * 60 * 3,
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role: 'assistant',
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content:
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'The answer to the ultimate question of life, the universe, and everything is **42**.\n\nThis comes from Douglas Adams\' "The Hitchhiker\'s Guide to the Galaxy," where a supercomputer named Deep Thought calculated this answer over 7.5 million years. However, the question itself was never properly formulated, which is why the answer seems meaningless without context.',
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parent: '1',
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thinking: '',
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children: []
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};
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const assistantWithReasoning: DatabaseMessage = {
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id: '3',
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convId: 'conv-1',
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type: 'message',
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timestamp: Date.now() - 1000 * 60 * 2,
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role: 'assistant',
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content: "Here's the concise answer, now that I've thought it through carefully for you.",
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parent: '1',
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thinking:
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"Let's consider the user's question step by step:\\n\\n1. Identify the core problem\\n2. Evaluate relevant information\\n3. Formulate a clear answer\\n\\nFollowing this process ensures the final response stays focused and accurate.",
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children: []
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};
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const rawOutputMessage: DatabaseMessage = {
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id: '6',
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convId: 'conv-1',
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type: 'message',
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timestamp: Date.now() - 1000 * 60,
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role: 'assistant',
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content:
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'<|channel|>analysis<|message|>User greeted me. Initiating overcomplicated analysis: Is this a trap? No, just a normal hello. Respond calmly, act like a helpful assistant, and do not start explaining quantum physics again. Confidence 0.73. Engaging socially acceptable greeting protocol...<|end|>Hello there! How can I help you today?',
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parent: '1',
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thinking: '',
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children: []
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};
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let processingMessage = $state({
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id: '4',
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convId: 'conv-1',
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type: 'message',
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timestamp: 0, // No timestamp = processing
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role: 'assistant',
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content: '',
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parent: '1',
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thinking: '',
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children: []
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});
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let streamingMessage = $state({
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id: '5',
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convId: 'conv-1',
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type: 'message',
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timestamp: 0, // No timestamp = streaming
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role: 'assistant',
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content: '',
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parent: '1',
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thinking: '',
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children: []
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});
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</script>
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<Story
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name="User"
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args={{
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message: userMessage
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}}
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play={async () => {
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const { settingsStore } = await import('$lib/stores/settings.svelte');
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settingsStore.updateConfig('disableReasoningFormat', false);
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}}
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/>
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<Story
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name="Assistant"
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args={{
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class: 'max-w-[56rem] w-[calc(100vw-2rem)]',
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message: assistantMessage
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}}
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play={async () => {
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const { settingsStore } = await import('$lib/stores/settings.svelte');
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settingsStore.updateConfig('disableReasoningFormat', false);
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}}
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/>
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<Story
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name="AssistantWithReasoning"
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args={{
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class: 'max-w-[56rem] w-[calc(100vw-2rem)]',
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message: assistantWithReasoning
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}}
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play={async () => {
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const { settingsStore } = await import('$lib/stores/settings.svelte');
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settingsStore.updateConfig('disableReasoningFormat', false);
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}}
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/>
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<Story
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name="RawLlmOutput"
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args={{
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class: 'max-w-[56rem] w-[calc(100vw-2rem)]',
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message: rawOutputMessage
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}}
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play={async () => {
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const { settingsStore } = await import('$lib/stores/settings.svelte');
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settingsStore.updateConfig('disableReasoningFormat', true);
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}}
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/>
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<Story
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name="WithReasoningContent"
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args={{
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message: streamingMessage
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}}
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asChild
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play={async () => {
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const { settingsStore } = await import('$lib/stores/settings.svelte');
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settingsStore.updateConfig('disableReasoningFormat', false);
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// Phase 1: Stream reasoning content in chunks
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let reasoningText =
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'I need to think about this carefully. Let me break down the problem:\n\n1. The user is asking for help with something complex\n2. I should provide a thorough and helpful response\n3. I need to consider multiple approaches\n4. The best solution would be to explain step by step\n\nThis approach will ensure clarity and understanding.';
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let reasoningChunk = 'I';
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let i = 0;
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while (i < reasoningText.length) {
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const chunkSize = Math.floor(Math.random() * 5) + 3; // Random 3-7 characters
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const chunk = reasoningText.slice(i, i + chunkSize);
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reasoningChunk += chunk;
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// Update the reactive state directly
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streamingMessage.thinking = reasoningChunk;
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i += chunkSize;
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await new Promise((resolve) => setTimeout(resolve, 50));
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}
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const regularText =
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"Based on my analysis, here's the solution:\n\n**Step 1:** First, we need to understand the requirements clearly.\n\n**Step 2:** Then we can implement the solution systematically.\n\n**Step 3:** Finally, we test and validate the results.\n\nThis approach ensures we cover all aspects of the problem effectively.";
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let contentChunk = '';
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i = 0;
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while (i < regularText.length) {
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const chunkSize = Math.floor(Math.random() * 5) + 3; // Random 3-7 characters
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const chunk = regularText.slice(i, i + chunkSize);
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contentChunk += chunk;
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// Update the reactive state directly
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streamingMessage.content = contentChunk;
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i += chunkSize;
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await new Promise((resolve) => setTimeout(resolve, 50));
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}
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streamingMessage.timestamp = Date.now();
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}}
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>
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<div class="w-[56rem]">
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<ChatMessage message={streamingMessage} />
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</div>
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</Story>
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<Story
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name="Processing"
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args={{
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message: processingMessage
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}}
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play={async () => {
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const { settingsStore } = await import('$lib/stores/settings.svelte');
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settingsStore.updateConfig('disableReasoningFormat', false);
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// Import the chat store to simulate loading state
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const { chatStore } = await import('$lib/stores/chat.svelte');
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// Set loading state to true to trigger the processing UI
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chatStore.isLoading = true;
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// Simulate the processing state hook behavior
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// This will show the "Generating..." text and parameter details
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await new Promise((resolve) => setTimeout(resolve, 100));
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}}
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/>
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