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Merge branch 'main' into system-prompt-variations

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5
.env.example
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@ -70,6 +70,11 @@ LMSTUDIO_API_BASE_URL=
# You only need this environment variable set if you want to use xAI models
XAI_API_KEY=
# Get your Perplexity API Key here -
# https://www.perplexity.ai/settings/api
# You only need this environment variable set if you want to use Perplexity models
PERPLEXITY_API_KEY=
# Include this environment variable if you want more logging for debugging locally
VITE_LOG_LEVEL=debug

4
CONTRIBUTING.md
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@ -1,6 +1,6 @@
# Contributing to oTToDev
# Contributing to bolt.diy
First off, thank you for considering contributing to Bolt.diy! This fork aims to expand the capabilities of the original project by integrating multiple LLM providers and enhancing functionality. Every contribution helps make Bolt.diy a better tool for developers worldwide.
First off, thank you for considering contributing to bolt.diy! This fork aims to expand the capabilities of the original project by integrating multiple LLM providers and enhancing functionality. Every contribution helps make bolt.diy a better tool for developers worldwide.
## 📋 Table of Contents
- [Code of Conduct](#code-of-conduct)

29
FAQ.md
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@ -1,12 +1,12 @@
[![Bolt.new: AI-Powered Full-Stack Web Development in the Browser](./public/social_preview_index.jpg)](https://bolt.new)
[![bolt.diy: AI-Powered Full-Stack Web Development in the Browser](./public/social_preview_index.jpg)](https://bolt.diy)
# Bolt.new Fork by Cole Medin - Bolt.diy
# bolt.diy
## FAQ
### How do I get the best results with Bolt.diy?
### How do I get the best results with bolt.diy?
- **Be specific about your stack**: If you want to use specific frameworks or libraries (like Astro, Tailwind, ShadCN, or any other popular JavaScript framework), mention them in your initial prompt to ensure Bolt scaffolds the project accordingly.
- **Be specific about your stack**: If you want to use specific frameworks or libraries (like Astro, Tailwind, ShadCN, or any other popular JavaScript framework), mention them in your initial prompt to ensure bolt scaffolds the project accordingly.
- **Use the enhance prompt icon**: Before sending your prompt, try clicking the 'enhance' icon to have the AI model help you refine your prompt, then edit the results before submitting.
@ -14,36 +14,29 @@
- **Batch simple instructions**: Save time by combining simple instructions into one message. For example, you can ask Bolt.diy to change the color scheme, add mobile responsiveness, and restart the dev server, all in one go saving you time and reducing API credit consumption significantly.
### Do you plan on merging Bolt.diy back into the official Bolt.new repo?
More news coming on this coming early next month - stay tuned!
### Why are there so many open issues/pull requests?
Bolt.diy was started simply to showcase how to edit an open source project and to do something cool with local LLMs on my (@ColeMedin) YouTube channel! However, it quickly
grew into a massive community project that I am working hard to keep up with the demand of by forming a team of maintainers and getting as many people involved as I can.
That effort is going well and all of our maintainers are ABSOLUTE rockstars, but it still takes time to organize everything so we can efficiently get through all
the issues and PRs. But rest assured, we are working hard and even working on some partnerships behind the scenes to really help this project take off!
bolt.diy was started simply to showcase how to edit an open source project and to do something cool with local LLMs on my (@ColeMedin) YouTube channel! However, it quickly grew into a massive community project that I am working hard to keep up with the demand of by forming a team of maintainers and getting as many people involved as I can. That effort is going well and all of our maintainers are ABSOLUTE rockstars, but it still takes time to organize everything so we can efficiently get through all the issues and PRs. But rest assured, we are working hard and even working on some partnerships behind the scenes to really help this project take off!
### How do local LLMs fair compared to larger models like Claude 3.5 Sonnet for Bolt.diy/Bolt.new?
### How do local LLMs fair compared to larger models like Claude 3.5 Sonnet for bolt.diy/bolt.new?
As much as the gap is quickly closing between open source and massive close source models, you’re still going to get the best results with the very large models like GPT-4o, Claude 3.5 Sonnet, and DeepSeek Coder V2 236b. This is one of the big tasks we have at hand - figuring out how to prompt better, use agents, and improve the platform as a whole to make it work better for even the smaller local LLMs!
### I'm getting the error: "There was an error processing this request"
If you see this error within Bolt.diy, that is just the application telling you there is a problem at a high level, and this could mean a number of different things. To find the actual error, please check BOTH the terminal where you started the application (with Docker or pnpm) and the developer console in the browser. For most browsers, you can access the developer console by pressing F12 or right clicking anywhere in the browser and selecting “Inspect”. Then go to the “console” tab in the top right.
If you see this error within bolt.diy, that is just the application telling you there is a problem at a high level, and this could mean a number of different things. To find the actual error, please check BOTH the terminal where you started the application (with Docker or pnpm) and the developer console in the browser. For most browsers, you can access the developer console by pressing F12 or right clicking anywhere in the browser and selecting “Inspect”. Then go to the “console” tab in the top right.
### I'm getting the error: "x-api-key header missing"
We have seen this error a couple times and for some reason just restarting the Docker container has fixed it. This seems to be Ollama specific. Another thing to try is try to run Bolt.diy with Docker or pnpm, whichever you didn’t run first. We are still on the hunt for why this happens once and a while!
We have seen this error a couple times and for some reason just restarting the Docker container has fixed it. This seems to be Ollama specific. Another thing to try is try to run bolt.diy with Docker or pnpm, whichever you didn’t run first. We are still on the hunt for why this happens once and a while!
### I'm getting a blank preview when Bolt.diy runs my app!
### I'm getting a blank preview when bolt.diy runs my app!
We promise you that we are constantly testing new PRs coming into Bolt.diy and the preview is core functionality, so the application is not broken! When you get a blank preview or don’t get a preview, this is generally because the LLM hallucinated bad code or incorrect commands. We are working on making this more transparent so it is obvious. Sometimes the error will appear in developer console too so check that as well.
We promise you that we are constantly testing new PRs coming into bolt.diy and the preview is core functionality, so the application is not broken! When you get a blank preview or don’t get a preview, this is generally because the LLM hallucinated bad code or incorrect commands. We are working on making this more transparent so it is obvious. Sometimes the error will appear in developer console too so check that as well.
### How to add a LLM:
To make new LLMs available to use in this version of Bolt.new, head on over to `app/utils/constants.ts` and find the constant MODEL_LIST. Each element in this array is an object that has the model ID for the name (get this from the provider's API documentation), a label for the frontend model dropdown, and the provider.
To make new LLMs available to use in this version of bolt.new, head on over to `app/utils/constants.ts` and find the constant MODEL_LIST. Each element in this array is an object that has the model ID for the name (get this from the provider's API documentation), a label for the frontend model dropdown, and the provider.
By default, Anthropic, OpenAI, Groq, and Ollama are implemented as providers, but the YouTube video for this repo covers how to extend this to work with more providers if you wish!

61
README.md
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@ -1,14 +1,14 @@
[![Bolt.diy: AI-Powered Full-Stack Web Development in the Browser](./public/social_preview_index.jpg)](https://bolt.diy)
[![bolt.diy: AI-Powered Full-Stack Web Development in the Browser](./public/social_preview_index.jpg)](https://bolt.diy)
# Bolt.diy (Previously oTToDev)
# bolt.diy (Previously oTToDev)
Welcome to Bolt.diy, the official open source version of Bolt.new (previously known as oTToDev and Bolt.new ANY LLM), which allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models.
Welcome to bolt.diy, the official open source version of Bolt.new (previously known as oTToDev and bolt.new ANY LLM), which allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models.
Check the [Bolt.diy Docs](https://stackblitz-labs.github.io/bolt.diy/) for more information. This documentation is still being updated after the transfer.
Check the [bolt.diy Docs](https://stackblitz-labs.github.io/bolt.diy/) for more information. This documentation is still being updated after the transfer.
Bolt.diy was originally started by [Cole Medin](https://www.youtube.com/@ColeMedin) but has quickly grown into a massive community effort to build the BEST open source AI coding assistant!
bolt.diy was originally started by [Cole Medin](https://www.youtube.com/@ColeMedin) but has quickly grown into a massive community effort to build the BEST open source AI coding assistant!
## Join the community for Bolt.diy!
## Join the community for bolt.diy!
https://thinktank.ottomator.ai
@ -20,7 +20,7 @@ https://thinktank.ottomator.ai
- ✅ Autogenerate Ollama models from what is downloaded (@yunatamos)
- ✅ Filter models by provider (@jasonm23)
- ✅ Download project as ZIP (@fabwaseem)
- ✅ Improvements to the main Bolt.new prompt in `app\lib\.server\llm\prompts.ts` (@kofi-bhr)
- ✅ Improvements to the main bolt.new prompt in `app\lib\.server\llm\prompts.ts` (@kofi-bhr)
- ✅ DeepSeek API Integration (@zenith110)
- ✅ Mistral API Integration (@ArulGandhi)
- ✅ "Open AI Like" API Integration (@ZerxZ)
@ -47,7 +47,8 @@ https://thinktank.ottomator.ai
- ✅ Added Git Clone button (@thecodacus)
- ✅ Git Import from url (@thecodacus)
- ✅ PromptLibrary to have different variations of prompts for different use cases (@thecodacus)
- ⬜ **HIGH PRIORITY** - Prevent Bolt from rewriting files as often (file locking and diffs)
- ✅ Selection tool to target changes visually (@emcconnell)
- ⬜ **HIGH PRIORITY** - Prevent bolt from rewriting files as often (file locking and diffs)
- ⬜ **HIGH PRIORITY** - Better prompting for smaller LLMs (code window sometimes doesn't start)
- ⬜ **HIGH PRIORITY** - Run agents in the backend as opposed to a single model call
- ⬜ Deploy directly to Vercel/Netlify/other similar platforms
@ -59,7 +60,7 @@ https://thinktank.ottomator.ai
- ⬜ Perplexity Integration
- ⬜ Vertex AI Integration
## Bolt.diy Features
## bolt.diy Features
- **AI-powered full-stack web development** directly in your browser.
- **Support for multiple LLMs** with an extensible architecture to integrate additional models.
@ -69,7 +70,7 @@ https://thinktank.ottomator.ai
- **Download projects as ZIP** for easy portability.
- **Integration-ready Docker support** for a hassle-free setup.
## Setup Bolt.diy
## Setup bolt.diy
If you're new to installing software from GitHub, don't worry! If you encounter any issues, feel free to submit an "issue" using the provided links or improve this documentation by forking the repository, editing the instructions, and submitting a pull request. The following instruction will help you get the stable branch up and running on your local machine in no time.
@ -177,7 +178,7 @@ DEFAULT_NUM_CTX=8192
### Update Your Local Version to the Latest
To keep your local version of Bolt.diy up to date with the latest changes, follow these steps for your operating system:
To keep your local version of bolt.diy up to date with the latest changes, follow these steps for your operating system:
#### 1. **Navigate to your project folder**
Navigate to the directory where you cloned the repository and open a terminal:
@ -203,34 +204,36 @@ To keep your local version of Bolt.diy up to date with the latest changes, follo
pnpm run dev
```
This ensures that you're running the latest version of Bolt.diy and can take advantage of all the newest features and bug fixes.
This ensures that you're running the latest version of bolt.diy and can take advantage of all the newest features and bug fixes.
---
## Available Scripts
## Available Scripts
Here are the available commands for managing the application:
- **`pnpm run dev`**: Starts the development server.
- **`pnpm run build`**: Builds the project.
- **`pnpm run start`**: Runs the built application locally using Wrangler Pages.
- **`pnpm run preview`**: Builds and runs the production build locally.
- **`pnpm test`**: Runs the test suite using Vitest.
- **`pnpm run typecheck`**: Runs TypeScript type checking.
- **`pnpm run typegen`**: Generates TypeScript types using Wrangler.
- **`pnpm run deploy`**: Deploys the project to Cloudflare Pages.
- **`pnpm run lint:fix`**: Automatically fixes linting issues.
- `pnpm run dev`: Start the development server.
- `pnpm run build`: Build the project.
- `pnpm run start`: Run the built application locally (uses Wrangler Pages).
- `pnpm run preview`: Build and start the application locally for production testing.
- `pnpm test`: Run the test suite using Vitest.
- `pnpm run typecheck`: Perform TypeScript type checking.
- `pnpm run typegen`: Generate TypeScript types using Wrangler.
- `pnpm run deploy`: Build and deploy the project to Cloudflare Pages.
- `pnpm lint:fix`: Run the linter and automatically fix issues.
---
## How do I contribute to Bolt.diy?
## Contributing
[Please check out our dedicated page for contributing to Bolt.diy here!](CONTRIBUTING.md)
We welcome contributions! Check out our [Contributing Guide](CONTRIBUTING.md) to get started.
## What are the future plans for Bolt.diy?
---
[Check out our Roadmap here!](https://roadmap.sh/r/ottodev-roadmap-2ovzo)
## Roadmap
Lot more updates to this roadmap coming soon!
Explore upcoming features and priorities on our [Roadmap](https://roadmap.sh/r/ottodev-roadmap-2ovzo).
---
## FAQ
[Please check out our dedicated page for FAQ's related to Bolt.diy here!](FAQ.md)
For answers to common questions, visit our [FAQ Page](FAQ.md).

2
app/commit.json
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@ -1 +1 @@
{ "commit": "2b8236f9880984508f2ae17575b587bb9d938e55" }
{ "commit": "9cd9ee9088467882e1e4efdf491959619307cc9d" }

35
app/components/chat/BaseChat.tsx
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@ -26,6 +26,8 @@ import FilePreview from './FilePreview';
import { ModelSelector } from '~/components/chat/ModelSelector';
import { SpeechRecognitionButton } from '~/components/chat/SpeechRecognition';
import type { IProviderSetting, ProviderInfo } from '~/types/model';
import { ScreenshotStateManager } from './ScreenshotStateManager';
import { toast } from 'react-toastify';
const TEXTAREA_MIN_HEIGHT = 76;
@ -376,6 +378,16 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
setImageDataList?.(imageDataList.filter((_, i) => i !== index));
}}
/>
<ClientOnly>
{() => (
<ScreenshotStateManager
setUploadedFiles={setUploadedFiles}
setImageDataList={setImageDataList}
uploadedFiles={uploadedFiles}
imageDataList={imageDataList}
/>
)}
</ClientOnly>
<div
className={classNames(
'relative shadow-xs border border-bolt-elements-borderColor backdrop-blur rounded-lg',
@ -431,6 +443,11 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
return;
}
// ignore if using input method engine
if (event.nativeEvent.isComposing) {
return;
}
handleSendMessage?.(event);
}
}}
@ -476,22 +493,16 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
className={classNames(
'transition-all',
enhancingPrompt ? 'opacity-100' : '',
promptEnhanced ? 'text-bolt-elements-item-contentAccent' : '',
promptEnhanced ? 'pr-1.5' : '',
promptEnhanced ? 'enabled:hover:bg-bolt-elements-item-backgroundAccent' : '',
)}
onClick={() => enhancePrompt?.()}
onClick={() => {
enhancePrompt?.();
toast.success('Prompt enhanced!');
}}
>
{enhancingPrompt ? (
<>
<div className="i-svg-spinners:90-ring-with-bg text-bolt-elements-loader-progress text-xl animate-spin"></div>
<div className="ml-1.5">Enhancing prompt...</div>
</>
<div className="i-svg-spinners:90-ring-with-bg text-bolt-elements-loader-progress text-xl animate-spin"></div>
) : (
<>
<div className="i-bolt:stars text-xl"></div>
{promptEnhanced && <div className="ml-1.5">Prompt enhanced</div>}
</>
<div className="i-bolt:stars text-xl"></div>
)}
</IconButton>

33
app/components/chat/ScreenshotStateManager.tsx Normal file
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@ -0,0 +1,33 @@
import { useEffect } from 'react';
interface ScreenshotStateManagerProps {
setUploadedFiles?: (files: File[]) => void;
setImageDataList?: (dataList: string[]) => void;
uploadedFiles: File[];
imageDataList: string[];
}
export const ScreenshotStateManager = ({
setUploadedFiles,
setImageDataList,
uploadedFiles,
imageDataList,
}: ScreenshotStateManagerProps) => {
useEffect(() => {
if (setUploadedFiles && setImageDataList) {
(window as any).__BOLT_SET_UPLOADED_FILES__ = setUploadedFiles;
(window as any).__BOLT_SET_IMAGE_DATA_LIST__ = setImageDataList;
(window as any).__BOLT_UPLOADED_FILES__ = uploadedFiles;
(window as any).__BOLT_IMAGE_DATA_LIST__ = imageDataList;
}
return () => {
delete (window as any).__BOLT_SET_UPLOADED_FILES__;
delete (window as any).__BOLT_SET_IMAGE_DATA_LIST__;
delete (window as any).__BOLT_UPLOADED_FILES__;
delete (window as any).__BOLT_IMAGE_DATA_LIST__;
};
}, [setUploadedFiles, setImageDataList, uploadedFiles, imageDataList]);
return null;
};

2
app/components/settings/SettingsWindow.tsx
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@ -27,8 +27,8 @@ export const SettingsWindow = ({ open, onClose }: SettingsProps) => {
const tabs: { id: TabType; label: string; icon: string; component?: ReactElement }[] = [
{ id: 'chat-history', label: 'Chat History', icon: 'i-ph:book', component: <ChatHistoryTab /> },
{ id: 'providers', label: 'Providers', icon: 'i-ph:key', component: <ProvidersTab /> },
{ id: 'features', label: 'Features', icon: 'i-ph:star', component: <FeaturesTab /> },
{ id: 'connection', label: 'Connection', icon: 'i-ph:link', component: <ConnectionsTab /> },
{ id: 'features', label: 'Features', icon: 'i-ph:star', component: <FeaturesTab /> },
...(debug
? [
{

8
app/components/settings/chat-history/ChatHistoryTab.tsx
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@ -22,17 +22,20 @@ export default function ChatHistoryTab() {
};
const handleDeleteAllChats = async () => {
const confirmDelete = window.confirm("Are you sure you want to delete all chats? This action cannot be undone.");
if (!confirmDelete) {
return; // Exit if the user cancels
}
if (!db) {
const error = new Error('Database is not available');
logStore.logError('Failed to delete chats - DB unavailable', error);
toast.error('Database is not available');
return;
}
try {
setIsDeleting(true);
const allChats = await getAll(db);
await Promise.all(allChats.map((chat) => deleteById(db!, chat.id)));
logStore.logSystem('All chats deleted successfully', { count: allChats.length });
@ -52,7 +55,6 @@ export default function ChatHistoryTab() {
const error = new Error('Database is not available');
logStore.logError('Failed to export chats - DB unavailable', error);
toast.error('Database is not available');
return;
}

4
app/components/settings/debug/DebugTab.tsx
View File

@ -1,6 +1,7 @@
import React, { useCallback, useEffect, useState } from 'react';
import { useSettings } from '~/lib/hooks/useSettings';
import commit from '~/commit.json';
import { toast } from 'react-toastify';
interface ProviderStatus {
name: string;
@ -308,8 +309,9 @@ export default function DebugTab() {
Version: versionHash,
Timestamp: new Date().toISOString(),
};
navigator.clipboard.writeText(JSON.stringify(debugInfo, null, 2)).then(() => {
alert('Debug information copied to clipboard!');
toast.success('Debug information copied to clipboard!');
});
}, [activeProviders, systemInfo]);

21
app/components/settings/features/FeaturesTab.tsx
View File

@ -4,19 +4,21 @@ import { PromptLibrary } from '~/lib/common/prompt-library';
import { useSettings } from '~/lib/hooks/useSettings';
export default function FeaturesTab() {
const { debug, enableDebugMode, isLocalModel, enableLocalModels, eventLogs, enableEventLogs, promptId, setPromptId } =
useSettings();
const handleToggle = (enabled: boolean) => {
enableDebugMode(enabled);
enableEventLogs(enabled);
};
return (
<div className="p-4 bg-bolt-elements-bg-depth-2 border border-bolt-elements-borderColor rounded-lg mb-4">
<div className="mb-6">
<h3 className="text-lg font-medium text-bolt-elements-textPrimary mb-4">Optional Features</h3>
<div className="flex items-center justify-between mb-6">
<span className="text-bolt-elements-textPrimary">Debug Info</span>
<Switch className="ml-auto" checked={debug} onCheckedChange={enableDebugMode} />
</div>
<div className="flex items-center justify-between mb-6">
<span className="text-bolt-elements-textPrimary">Event Logs</span>
<Switch className="ml-auto" checked={eventLogs} onCheckedChange={enableEventLogs} />
<div className="flex items-center justify-between mb-2">
<span className="text-bolt-elements-textPrimary">Debug Features</span>
<Switch className="ml-auto" checked={debug} onCheckedChange={handleToggle} />
</div>
</div>
@ -25,8 +27,9 @@ export default function FeaturesTab() {
<p className="text-sm text-bolt-elements-textSecondary mb-4">
Disclaimer: Experimental features may be unstable and are subject to change.
</p>
<div className="flex items-center justify-between pt-4 mb-4">
<span className="text-bolt-elements-textPrimary">Enable Local Models</span>
<div className="flex items-center justify-between mb-2">
<span className="text-bolt-elements-textPrimary">Experimental Providers</span>
<Switch className="ml-auto" checked={isLocalModel} onCheckedChange={enableLocalModels} />
</div>
<div className="flex items-start justify-between pt-4 mb-2 gap-2">

12
app/components/settings/providers/ProvidersTab.tsx
View File

@ -5,6 +5,9 @@ import { LOCAL_PROVIDERS, URL_CONFIGURABLE_PROVIDERS } from '~/lib/stores/settin
import type { IProviderConfig } from '~/types/model';
import { logStore } from '~/lib/stores/logs';
// Import a default fallback icon
import DefaultIcon from '/icons/Ollama.svg'; // Adjust the path as necessary
export default function ProvidersTab() {
const { providers, updateProviderSettings, isLocalModel } = useSettings();
const [filteredProviders, setFilteredProviders] = useState<IProviderConfig[]>([]);
@ -51,7 +54,14 @@ export default function ProvidersTab() {
>
<div className="flex items-center justify-between mb-2">
<div className="flex items-center gap-2">
<img src={`/icons/${provider.name}.svg`} alt={`${provider.name} icon`} className="w-6 h-6 dark:invert" />
<img
src={`/icons/${provider.name}.svg`} // Attempt to load the specific icon
onError={(e) => { // Fallback to default icon on error
e.currentTarget.src = DefaultIcon;
}}
alt={`${provider.name} icon`}
className="w-6 h-6 dark:invert"
/>
<span className="text-bolt-elements-textPrimary">{provider.name}</span>
</div>
<Switch

148
app/components/workbench/FileTree.tsx
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@ -2,6 +2,7 @@ import { memo, useEffect, useMemo, useState, type ReactNode } from 'react';
import type { FileMap } from '~/lib/stores/files';
import { classNames } from '~/utils/classNames';
import { createScopedLogger, renderLogger } from '~/utils/logger';
import * as ContextMenu from '@radix-ui/react-context-menu';
const logger = createScopedLogger('FileTree');
@ -110,6 +111,22 @@ export const FileTree = memo(
});
};
const onCopyPath = (fileOrFolder: FileNode | FolderNode) => {
try {
navigator.clipboard.writeText(fileOrFolder.fullPath);
} catch (error) {
logger.error(error);
}
};
const onCopyRelativePath = (fileOrFolder: FileNode | FolderNode) => {
try {
navigator.clipboard.writeText(fileOrFolder.fullPath.substring((rootFolder || '').length));
} catch (error) {
logger.error(error);
}
};
return (
<div className={classNames('text-sm', className, 'overflow-y-auto')}>
{filteredFileList.map((fileOrFolder) => {
@ -121,6 +138,12 @@ export const FileTree = memo(
selected={selectedFile === fileOrFolder.fullPath}
file={fileOrFolder}
unsavedChanges={unsavedFiles?.has(fileOrFolder.fullPath)}
onCopyPath={() => {
onCopyPath(fileOrFolder);
}}
onCopyRelativePath={() => {
onCopyRelativePath(fileOrFolder);
}}
onClick={() => {
onFileSelect?.(fileOrFolder.fullPath);
}}
@ -134,6 +157,12 @@ export const FileTree = memo(
folder={fileOrFolder}
selected={allowFolderSelection && selectedFile === fileOrFolder.fullPath}
collapsed={collapsedFolders.has(fileOrFolder.fullPath)}
onCopyPath={() => {
onCopyPath(fileOrFolder);
}}
onCopyRelativePath={() => {
onCopyRelativePath(fileOrFolder);
}}
onClick={() => {
toggleCollapseState(fileOrFolder.fullPath);
}}
@ -156,26 +185,67 @@ interface FolderProps {
folder: FolderNode;
collapsed: boolean;
selected?: boolean;
onCopyPath: () => void;
onCopyRelativePath: () => void;
onClick: () => void;
}
function Folder({ folder: { depth, name }, collapsed, selected = false, onClick }: FolderProps) {
interface FolderContextMenuProps {
onCopyPath?: () => void;
onCopyRelativePath?: () => void;
children: ReactNode;
}
function ContextMenuItem({ onSelect, children }: { onSelect?: () => void; children: ReactNode }) {
return (
<NodeButton
className={classNames('group', {
'bg-transparent text-bolt-elements-item-contentDefault hover:text-bolt-elements-item-contentActive hover:bg-bolt-elements-item-backgroundActive':
!selected,
'bg-bolt-elements-item-backgroundAccent text-bolt-elements-item-contentAccent': selected,
})}
depth={depth}
iconClasses={classNames({
'i-ph:caret-right scale-98': collapsed,
'i-ph:caret-down scale-98': !collapsed,
})}
onClick={onClick}
<ContextMenu.Item
onSelect={onSelect}
className="flex items-center gap-2 px-2 py-1.5 outline-0 text-sm text-bolt-elements-textPrimary cursor-pointer ws-nowrap text-bolt-elements-item-contentDefault hover:text-bolt-elements-item-contentActive hover:bg-bolt-elements-item-backgroundActive rounded-md"
>
{name}
</NodeButton>
<span className="size-4 shrink-0"></span>
<span>{children}</span>
</ContextMenu.Item>
);
}
function FileContextMenu({ onCopyPath, onCopyRelativePath, children }: FolderContextMenuProps) {
return (
<ContextMenu.Root>
<ContextMenu.Trigger>{children}</ContextMenu.Trigger>
<ContextMenu.Portal>
<ContextMenu.Content
style={{ zIndex: 998 }}
className="border border-bolt-elements-borderColor rounded-md z-context-menu bg-bolt-elements-background-depth-1 dark:bg-bolt-elements-background-depth-2 data-[state=open]:animate-in animate-duration-100 data-[state=open]:fade-in-0 data-[state=open]:zoom-in-98 w-56"
>
<ContextMenu.Group className="p-1 border-b-px border-solid border-bolt-elements-borderColor">
<ContextMenuItem onSelect={onCopyPath}>Copy path</ContextMenuItem>
<ContextMenuItem onSelect={onCopyRelativePath}>Copy relative path</ContextMenuItem>
</ContextMenu.Group>
</ContextMenu.Content>
</ContextMenu.Portal>
</ContextMenu.Root>
);
}
function Folder({ folder, collapsed, selected = false, onCopyPath, onCopyRelativePath, onClick }: FolderProps) {
return (
<FileContextMenu onCopyPath={onCopyPath} onCopyRelativePath={onCopyRelativePath}>
<NodeButton
className={classNames('group', {
'bg-transparent text-bolt-elements-item-contentDefault hover:text-bolt-elements-item-contentActive hover:bg-bolt-elements-item-backgroundActive':
!selected,
'bg-bolt-elements-item-backgroundAccent text-bolt-elements-item-contentAccent': selected,
})}
depth={folder.depth}
iconClasses={classNames({
'i-ph:caret-right scale-98': collapsed,
'i-ph:caret-down scale-98': !collapsed,
})}
onClick={onClick}
>
{folder.name}
</NodeButton>
</FileContextMenu>
);
}
@ -183,31 +253,43 @@ interface FileProps {
file: FileNode;
selected: boolean;
unsavedChanges?: boolean;
onCopyPath: () => void;
onCopyRelativePath: () => void;
onClick: () => void;
}
function File({ file: { depth, name }, onClick, selected, unsavedChanges = false }: FileProps) {
function File({
file: { depth, name },
onClick,
onCopyPath,
onCopyRelativePath,
selected,
unsavedChanges = false,
}: FileProps) {
return (
<NodeButton
className={classNames('group', {
'bg-transparent hover:bg-bolt-elements-item-backgroundActive text-bolt-elements-item-contentDefault': !selected,
'bg-bolt-elements-item-backgroundAccent text-bolt-elements-item-contentAccent': selected,
})}
depth={depth}
iconClasses={classNames('i-ph:file-duotone scale-98', {
'group-hover:text-bolt-elements-item-contentActive': !selected,
})}
onClick={onClick}
>
<div
className={classNames('flex items-center', {
<FileContextMenu onCopyPath={onCopyPath} onCopyRelativePath={onCopyRelativePath}>
<NodeButton
className={classNames('group', {
'bg-transparent hover:bg-bolt-elements-item-backgroundActive text-bolt-elements-item-contentDefault':
!selected,
'bg-bolt-elements-item-backgroundAccent text-bolt-elements-item-contentAccent': selected,
})}
depth={depth}
iconClasses={classNames('i-ph:file-duotone scale-98', {
'group-hover:text-bolt-elements-item-contentActive': !selected,
})}
onClick={onClick}
>
<div className="flex-1 truncate pr-2">{name}</div>
{unsavedChanges && <span className="i-ph:circle-fill scale-68 shrink-0 text-orange-500" />}
</div>
</NodeButton>
<div
className={classNames('flex items-center', {
'group-hover:text-bolt-elements-item-contentActive': !selected,
})}
>
<div className="flex-1 truncate pr-2">{name}</div>
{unsavedChanges && <span className="i-ph:circle-fill scale-68 shrink-0 text-orange-500" />}
</div>
</NodeButton>
</FileContextMenu>
);
}

24
app/components/workbench/Preview.tsx
View File

@ -3,6 +3,7 @@ import { memo, useCallback, useEffect, useRef, useState } from 'react';
import { IconButton } from '~/components/ui/IconButton';
import { workbenchStore } from '~/lib/stores/workbench';
import { PortDropdown } from './PortDropdown';
import { ScreenshotSelector } from './ScreenshotSelector';
type ResizeSide = 'left' | 'right' | null;
@ -20,6 +21,7 @@ export const Preview = memo(() => {
const [url, setUrl] = useState('');
const [iframeUrl, setIframeUrl] = useState<string | undefined>();
const [isSelectionMode, setIsSelectionMode] = useState(false);
// Toggle between responsive mode and device mode
const [isDeviceModeOn, setIsDeviceModeOn] = useState(false);
@ -218,12 +220,17 @@ export const Preview = memo(() => {
)}
<div className="bg-bolt-elements-background-depth-2 p-2 flex items-center gap-1.5">
<IconButton icon="i-ph:arrow-clockwise" onClick={reloadPreview} />
<IconButton
icon="i-ph:selection"
onClick={() => setIsSelectionMode(!isSelectionMode)}
className={isSelectionMode ? 'bg-bolt-elements-background-depth-3' : ''}
/>
<div
className="flex items-center gap-1 flex-grow bg-bolt-elements-preview-addressBar-background border border-bolt-elements-borderColor text-bolt-elements-preview-addressBar-text rounded-full px-3 py-1 text-sm hover:bg-bolt-elements-preview-addressBar-backgroundHover hover:focus-within:bg-bolt-elements-preview-addressBar-backgroundActive focus-within:bg-bolt-elements-preview-addressBar-backgroundActive
focus-within-border-bolt-elements-borderColorActive focus-within:text-bolt-elements-preview-addressBar-textActive"
>
<input
title="URL"
ref={inputRef}
className="w-full bg-transparent outline-none"
type="text"
@ -281,7 +288,20 @@ export const Preview = memo(() => {
}}
>
{activePreview ? (
<iframe ref={iframeRef} className="border-none w-full h-full bg-white" src={iframeUrl} allowFullScreen />
<>
<iframe
ref={iframeRef}
title="preview"
className="border-none w-full h-full bg-white"
src={iframeUrl}
allowFullScreen
/>
<ScreenshotSelector
isSelectionMode={isSelectionMode}
setIsSelectionMode={setIsSelectionMode}
containerRef={iframeRef}
/>
</>
) : (
<div className="flex w-full h-full justify-center items-center bg-white">No preview available</div>
)}

293
app/components/workbench/ScreenshotSelector.tsx Normal file
View File

@ -0,0 +1,293 @@
import { memo, useCallback, useEffect, useRef, useState } from 'react';
import { toast } from 'react-toastify';
interface ScreenshotSelectorProps {
isSelectionMode: boolean;
setIsSelectionMode: (mode: boolean) => void;
containerRef: React.RefObject<HTMLElement>;
}
export const ScreenshotSelector = memo(
({ isSelectionMode, setIsSelectionMode, containerRef }: ScreenshotSelectorProps) => {
const [isCapturing, setIsCapturing] = useState(false);
const [selectionStart, setSelectionStart] = useState<{ x: number; y: number } | null>(null);
const [selectionEnd, setSelectionEnd] = useState<{ x: number; y: number } | null>(null);
const mediaStreamRef = useRef<MediaStream | null>(null);
const videoRef = useRef<HTMLVideoElement | null>(null);
useEffect(() => {
// Cleanup function to stop all tracks when component unmounts
return () => {
if (videoRef.current) {
videoRef.current.pause();
videoRef.current.srcObject = null;
videoRef.current.remove();
videoRef.current = null;
}
if (mediaStreamRef.current) {
mediaStreamRef.current.getTracks().forEach((track) => track.stop());
mediaStreamRef.current = null;
}
};
}, []);
const initializeStream = async () => {
if (!mediaStreamRef.current) {
try {
const stream = await navigator.mediaDevices.getDisplayMedia({
audio: false,
video: {
displaySurface: 'window',
preferCurrentTab: true,
surfaceSwitching: 'include',
systemAudio: 'exclude',
},
} as MediaStreamConstraints);
// Add handler for when sharing stops
stream.addEventListener('inactive', () => {
if (videoRef.current) {
videoRef.current.pause();
videoRef.current.srcObject = null;
videoRef.current.remove();
videoRef.current = null;
}
if (mediaStreamRef.current) {
mediaStreamRef.current.getTracks().forEach((track) => track.stop());
mediaStreamRef.current = null;
}
setIsSelectionMode(false);
setSelectionStart(null);
setSelectionEnd(null);
setIsCapturing(false);
});
mediaStreamRef.current = stream;
// Initialize video element if needed
if (!videoRef.current) {
const video = document.createElement('video');
video.style.opacity = '0';
video.style.position = 'fixed';
video.style.pointerEvents = 'none';
video.style.zIndex = '-1';
document.body.appendChild(video);
videoRef.current = video;
}
// Set up video with the stream
videoRef.current.srcObject = stream;
await videoRef.current.play();
} catch (error) {
console.error('Failed to initialize stream:', error);
setIsSelectionMode(false);
toast.error('Failed to initialize screen capture');
}
}
return mediaStreamRef.current;
};
const handleCopySelection = useCallback(async () => {
if (!isSelectionMode || !selectionStart || !selectionEnd || !containerRef.current) {
return;
}
setIsCapturing(true);
try {
const stream = await initializeStream();
if (!stream || !videoRef.current) {
return;
}
// Wait for video to be ready
await new Promise((resolve) => setTimeout(resolve, 300));
// Create temporary canvas for full screenshot
const tempCanvas = document.createElement('canvas');
tempCanvas.width = videoRef.current.videoWidth;
tempCanvas.height = videoRef.current.videoHeight;
const tempCtx = tempCanvas.getContext('2d');
if (!tempCtx) {
throw new Error('Failed to get temporary canvas context');
}
// Draw the full video frame
tempCtx.drawImage(videoRef.current, 0, 0);
// Calculate scale factor between video and screen
const scaleX = videoRef.current.videoWidth / window.innerWidth;
const scaleY = videoRef.current.videoHeight / window.innerHeight;
// Get window scroll position
const scrollX = window.scrollX;
const scrollY = window.scrollY + 40;
// Get the container's position in the page
const containerRect = containerRef.current.getBoundingClientRect();
// Offset adjustments for more accurate clipping
const leftOffset = -9; // Adjust left position
const bottomOffset = -14; // Adjust bottom position
// Calculate the scaled coordinates with scroll offset and adjustments
const scaledX = Math.round(
(containerRect.left + Math.min(selectionStart.x, selectionEnd.x) + scrollX + leftOffset) * scaleX,
);
const scaledY = Math.round(
(containerRect.top + Math.min(selectionStart.y, selectionEnd.y) + scrollY + bottomOffset) * scaleY,
);
const scaledWidth = Math.round(Math.abs(selectionEnd.x - selectionStart.x) * scaleX);
const scaledHeight = Math.round(Math.abs(selectionEnd.y - selectionStart.y) * scaleY);
// Create final canvas for the cropped area
const canvas = document.createElement('canvas');
canvas.width = Math.round(Math.abs(selectionEnd.x - selectionStart.x));
canvas.height = Math.round(Math.abs(selectionEnd.y - selectionStart.y));
const ctx = canvas.getContext('2d');
if (!ctx) {
throw new Error('Failed to get canvas context');
}
// Draw the cropped area
ctx.drawImage(tempCanvas, scaledX, scaledY, scaledWidth, scaledHeight, 0, 0, canvas.width, canvas.height);
// Convert to blob
const blob = await new Promise<Blob>((resolve, reject) => {
canvas.toBlob((blob) => {
if (blob) {
resolve(blob);
} else {
reject(new Error('Failed to create blob'));
}
}, 'image/png');
});
// Create a FileReader to convert blob to base64
const reader = new FileReader();
reader.onload = (e) => {
const base64Image = e.target?.result as string;
// Find the textarea element
const textarea = document.querySelector('textarea');
if (textarea) {
// Get the setters from the BaseChat component
const setUploadedFiles = (window as any).__BOLT_SET_UPLOADED_FILES__;
const setImageDataList = (window as any).__BOLT_SET_IMAGE_DATA_LIST__;
const uploadedFiles = (window as any).__BOLT_UPLOADED_FILES__ || [];
const imageDataList = (window as any).__BOLT_IMAGE_DATA_LIST__ || [];
if (setUploadedFiles && setImageDataList) {
// Update the files and image data
const file = new File([blob], 'screenshot.png', { type: 'image/png' });
setUploadedFiles([...uploadedFiles, file]);
setImageDataList([...imageDataList, base64Image]);
toast.success('Screenshot captured and added to chat');
} else {
toast.error('Could not add screenshot to chat');
}
}
};
reader.readAsDataURL(blob);
} catch (error) {
console.error('Failed to capture screenshot:', error);
toast.error('Failed to capture screenshot');
if (mediaStreamRef.current) {
mediaStreamRef.current.getTracks().forEach((track) => track.stop());
mediaStreamRef.current = null;
}
} finally {
setIsCapturing(false);
setSelectionStart(null);
setSelectionEnd(null);
setIsSelectionMode(false); // Turn off selection mode after capture
}
}, [isSelectionMode, selectionStart, selectionEnd, containerRef, setIsSelectionMode]);
const handleSelectionStart = useCallback(
(e: React.MouseEvent) => {
e.preventDefault();
e.stopPropagation();
if (!isSelectionMode) {
return;
}
const rect = e.currentTarget.getBoundingClientRect();
const x = e.clientX - rect.left;
const y = e.clientY - rect.top;
setSelectionStart({ x, y });
setSelectionEnd({ x, y });
},
[isSelectionMode],
);
const handleSelectionMove = useCallback(
(e: React.MouseEvent) => {
e.preventDefault();
e.stopPropagation();
if (!isSelectionMode || !selectionStart) {
return;
}
const rect = e.currentTarget.getBoundingClientRect();
const x = e.clientX - rect.left;
const y = e.clientY - rect.top;
setSelectionEnd({ x, y });
},
[isSelectionMode, selectionStart],
);
if (!isSelectionMode) {
return null;
}
return (
<div
className="absolute inset-0 cursor-crosshair"
onMouseDown={handleSelectionStart}
onMouseMove={handleSelectionMove}
onMouseUp={handleCopySelection}
onMouseLeave={() => {
if (selectionStart) {
setSelectionStart(null);
}
}}
style={{
backgroundColor: isCapturing ? 'transparent' : 'rgba(0, 0, 0, 0.1)',
userSelect: 'none',
WebkitUserSelect: 'none',
pointerEvents: 'all',
opacity: isCapturing ? 0 : 1,
zIndex: 50,
transition: 'opacity 0.1s ease-in-out',
}}
>
{selectionStart && selectionEnd && !isCapturing && (
<div
className="absolute border-2 border-blue-500 bg-blue-200 bg-opacity-20"
style={{
left: Math.min(selectionStart.x, selectionEnd.x),
top: Math.min(selectionStart.y, selectionEnd.y),
width: Math.abs(selectionEnd.x - selectionStart.x),
height: Math.abs(selectionEnd.y - selectionStart.y),
}}
/>
)}
</div>
);
},
);

2
app/lib/.server/llm/api-key.ts
View File

@ -39,6 +39,8 @@ export function getAPIKey(cloudflareEnv: Env, provider: string, userApiKeys?: Re
return env.TOGETHER_API_KEY || cloudflareEnv.TOGETHER_API_KEY;
case 'xAI':
return env.XAI_API_KEY || cloudflareEnv.XAI_API_KEY;
case 'Perplexity':
return env.PERPLEXITY_API_KEY || cloudflareEnv.PERPLEXITY_API_KEY;
case 'Cohere':
return env.COHERE_API_KEY;
case 'AzureOpenAI':

11
app/lib/.server/llm/model.ts
View File

@ -128,6 +128,15 @@ export function getXAIModel(apiKey: OptionalApiKey, model: string) {
return openai(model);
}
export function getPerplexityModel(apiKey: OptionalApiKey, model: string) {
const perplexity = createOpenAI({
baseURL: 'https://api.perplexity.ai/',
apiKey,
});
return perplexity(model);
}
export function getModel(
provider: string,
model: string,
@ -170,6 +179,8 @@ export function getModel(
return getXAIModel(apiKey, model);
case 'Cohere':
return getCohereAIModel(apiKey, model);
case 'Perplexity':
return getPerplexityModel(apiKey, model);
default:
return getOllamaModel(baseURL, model);
}

27
app/utils/constants.ts
View File

@ -139,11 +139,12 @@ const PROVIDER_LIST: ProviderInfo[] = [
{
name: 'Groq',
staticModels: [
{ name: 'llama-3.1-70b-versatile', label: 'Llama 3.1 70b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
{ name: 'llama-3.1-8b-instant', label: 'Llama 3.1 8b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
{ name: 'llama-3.2-11b-vision-preview', label: 'Llama 3.2 11b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
{ name: 'llama-3.2-90b-vision-preview', label: 'Llama 3.2 90b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
{ name: 'llama-3.2-3b-preview', label: 'Llama 3.2 3b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
{ name: 'llama-3.2-1b-preview', label: 'Llama 3.2 1b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
{ name: 'llama-3.3-70b-versatile', label: 'Llama 3.3 70b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
],
getApiKeyLink: 'https://console.groq.com/keys',
},
@ -292,6 +293,30 @@ const PROVIDER_LIST: ProviderInfo[] = [
],
getApiKeyLink: 'https://api.together.xyz/settings/api-keys',
},
{
name: 'Perplexity',
staticModels: [
{
name: 'llama-3.1-sonar-small-128k-online',
label: 'Sonar Small Online',
provider: 'Perplexity',
maxTokenAllowed: 8192,
},
{
name: 'llama-3.1-sonar-large-128k-online',
label: 'Sonar Large Online',
provider: 'Perplexity',
maxTokenAllowed: 8192,
},
{
name: 'llama-3.1-sonar-huge-128k-online',
label: 'Sonar Huge Online',
provider: 'Perplexity',
maxTokenAllowed: 8192,
},
],
getApiKeyLink: 'https://www.perplexity.ai/settings/api',
},
];
export const DEFAULT_PROVIDER = PROVIDER_LIST[0];

1
package.json
View File

@ -58,6 +58,7 @@
"@octokit/rest": "^21.0.2",
"@octokit/types": "^13.6.2",
"@openrouter/ai-sdk-provider": "^0.0.5",
"@radix-ui/react-context-menu": "^2.2.2",
"@radix-ui/react-dialog": "^1.1.2",
"@radix-ui/react-dropdown-menu": "^2.1.2",
"@radix-ui/react-separator": "^1.1.0",

30
pnpm-lock.yaml
View File

@ -95,6 +95,9 @@ importers:
'@openrouter/ai-sdk-provider':
specifier: ^0.0.5
version: 0.0.5(zod@3.23.8)
'@radix-ui/react-context-menu':
specifier: ^2.2.2
version: 2.2.2(@types/react-dom@18.3.1)(@types/react@18.3.12)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
'@radix-ui/react-dialog':
specifier: ^1.1.2
version: 1.1.2(@types/react-dom@18.3.1)(@types/react@18.3.12)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
@ -1557,6 +1560,19 @@ packages:
'@types/react':
optional: true
'@radix-ui/react-context-menu@2.2.2':
resolution: {integrity: sha512-99EatSTpW+hRYHt7m8wdDlLtkmTovEe8Z/hnxUPV+SKuuNL5HWNhQI4QSdjZqNSgXHay2z4M3Dym73j9p2Gx5Q==}
peerDependencies:
'@types/react': '*'
'@types/react-dom': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
react-dom: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
'@types/react-dom':
optional: true
'@radix-ui/react-context@1.1.0':
resolution: {integrity: sha512-OKrckBy+sMEgYM/sMmqmErVn0kZqrHPJze+Ql3DzYsDDp0hl0L62nx/2122/Bvps1qz645jlcu2tD9lrRSdf8A==}
peerDependencies:
@ -7032,6 +7048,20 @@ snapshots:
optionalDependencies:
'@types/react': 18.3.12
'@radix-ui/react-context-menu@2.2.2(@types/react-dom@18.3.1)(@types/react@18.3.12)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)':
dependencies:
'@radix-ui/primitive': 1.1.0
'@radix-ui/react-context': 1.1.1(@types/react@18.3.12)(react@18.3.1)
'@radix-ui/react-menu': 2.1.2(@types/react-dom@18.3.1)(@types/react@18.3.12)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
'@radix-ui/react-primitive': 2.0.0(@types/react-dom@18.3.1)(@types/react@18.3.12)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
'@radix-ui/react-use-callback-ref': 1.1.0(@types/react@18.3.12)(react@18.3.1)
'@radix-ui/react-use-controllable-state': 1.1.0(@types/react@18.3.12)(react@18.3.1)
react: 18.3.1
react-dom: 18.3.1(react@18.3.1)
optionalDependencies:
'@types/react': 18.3.12
'@types/react-dom': 18.3.1
'@radix-ui/react-context@1.1.0(@types/react@18.3.12)(react@18.3.1)':
dependencies:
react: 18.3.1

4
public/icons/Perplexity.svg Normal file
View File

@ -0,0 +1,4 @@
<?xml version="1.0" encoding="UTF-8"?>
<svg width="24px" height="24px" viewBox="0 0 24 24" version="1.1" xmlns="http://www.w3.org/2000/svg">
<path d="M12 2C6.477 2 2 6.477 2 12C2 17.523 6.477 22 12 22C17.523 22 22 17.523 22 12C22 6.477 17.523 2 12 2ZM12 4.5C16.142 4.5 19.5 7.858 19.5 12C19.5 16.142 16.142 19.5 12 19.5C7.858 19.5 4.5 16.142 4.5 12C4.5 7.858 7.858 4.5 12 4.5ZM12 7C9.239 7 7 9.239 7 12C7 14.761 9.239 17 12 17C14.761 17 17 14.761 17 12C17 9.239 14.761 7 12 7Z" fill="#000000"/>
</svg>
Side by Side

After

Width:  |  Height:  |  Size: 510 B

1
worker-configuration.d.ts vendored
View File

@ -14,4 +14,5 @@ interface Env {
GOOGLE_GENERATIVE_AI_API_KEY: string;
MISTRAL_API_KEY: string;
XAI_API_KEY: string;
PERPLEXITY_API_KEY: string;
}