UniqAI/bolt.new-any-llm
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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

10
.github/workflows/commit.yaml vendored
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@ -20,9 +20,17 @@ jobs:
- name: Get the latest commit hash
run: echo "COMMIT_HASH=$(git rev-parse HEAD)" >> $GITHUB_ENV
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: '20'
- name: Update commit file
run: |
echo "{ \"commit\": \"$COMMIT_HASH\" }" > app/commit.json
echo CURRENT_VERSION=$(node -p "require('./package.json').version") >> $GITHUB_ENV
echo "{ \"commit\": \"$COMMIT_HASH\" , \"version\": \"$CURRENT_VERSION\" }" > app/commit.json
- name: Commit and push the update
run: |

28
.github/workflows/update-stable.yml vendored
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@ -9,30 +9,7 @@ permissions:
contents: write
jobs:
update-commit:
if: contains(github.event.head_commit.message, '#release')
runs-on: ubuntu-latest
steps:
- name: Checkout the code
uses: actions/checkout@v3
- name: Get the latest commit hash
run: echo "COMMIT_HASH=$(git rev-parse HEAD)" >> $GITHUB_ENV
- name: Update commit file
run: |
echo "{ \"commit\": \"$COMMIT_HASH\" }" > app/commit.json
- name: Commit and push the update
run: |
git config --global user.name "github-actions[bot]"
git config --global user.email "github-actions[bot]@users.noreply.github.com"
git add app/commit.json
git commit -m "chore: update commit hash to $COMMIT_HASH"
git push
prepare-release:
needs: update-commit
if: contains(github.event.head_commit.message, '#release')
runs-on: ubuntu-latest
@ -183,8 +160,11 @@ jobs:
- name: Commit and Tag Release
run: |
echo "COMMIT_HASH=$(git rev-parse HEAD)" >> $GITHUB_ENV
echo "CURRENT_VERSION=$(node -p "require('./package.json').version")" >> $GITHUB_ENV
git pull
git add package.json pnpm-lock.yaml changelog.md
echo "{ \"commit\": \"$COMMIT_HASH\" , \"version\": \"$CURRENT_VERSION\" }" > app/commit.json
git add package.json pnpm-lock.yaml changelog.md app/commit.json
git commit -m "chore: release version ${{ steps.bump_version.outputs.new_version }}"
git tag "v${{ steps.bump_version.outputs.new_version }}"
git push

3
.gitignore vendored
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@ -37,3 +37,6 @@ modelfiles
# docs ignore
site
# commit file ignore
app/commit.json

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!

63
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)
@ -43,8 +43,9 @@ https://thinktank.ottomator.ai
- ✅ Mobile friendly (@qwikode)
- ✅ Better prompt enhancing (@SujalXplores)
- ✅ Attach images to prompts (@atrokhym)
- ✅ Detect package.json and commands to auto install and run preview for folder and git import (@wonderwhy-er)
- ⬜ **HIGH PRIORITY** - Prevent Bolt from rewriting files as often (file locking and diffs)
- ✅ Detect package.json and commands to auto install & run preview for folder and git import (@wonderwhy-er)
- ✅ 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
@ -56,7 +57,7 @@ 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.
@ -66,7 +67,7 @@ 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.
@ -174,7 +175,7 @@ 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:
@ -200,34 +201,36 @@ 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": "d3727459aa594505efd0cef58c4218eaf48d5baf" }
{ "commit": "78505ed2f347dd3a7778b4c1c7c38c89ecacedd3" , "version": "" }

19
app/components/chat/AssistantMessage.tsx
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@ -1,13 +1,30 @@
import { memo } from 'react';
import { Markdown } from './Markdown';
import type { JSONValue } from 'ai';
interface AssistantMessageProps {
content: string;
annotations?: JSONValue[];
}
export const AssistantMessage = memo(({ content }: AssistantMessageProps) => {
export const AssistantMessage = memo(({ content, annotations }: AssistantMessageProps) => {
const filteredAnnotations = (annotations?.filter(
(annotation: JSONValue) => annotation && typeof annotation === 'object' && Object.keys(annotation).includes('type'),
) || []) as { type: string; value: any }[];
const usage: {
completionTokens: number;
promptTokens: number;
totalTokens: number;
} = filteredAnnotations.find((annotation) => annotation.type === 'usage')?.value;
return (
<div className="overflow-hidden w-full">
{usage && (
<div className="text-sm text-bolt-elements-textSecondary mb-2">
Tokens: {usage.totalTokens} (prompt: {usage.promptTokens}, completion: {usage.completionTokens})
</div>
)}
<Markdown html>{content}</Markdown>
</div>
);

45
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;
@ -75,7 +77,6 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
input = '',
enhancingPrompt,
handleInputChange,
promptEnhanced,
enhancePrompt,
sendMessage,
handleStop,
@ -283,7 +284,7 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
<div ref={scrollRef} className="flex flex-col lg:flex-row overflow-y-auto w-full h-full">
<div className={classNames(styles.Chat, 'flex flex-col flex-grow lg:min-w-[var(--chat-min-width)] h-full')}>
{!chatStarted && (
<div id="intro" className="mt-[26vh] max-w-chat mx-auto text-center px-4 lg:px-0">
<div id="intro" className="mt-[16vh] max-w-chat mx-auto text-center px-4 lg:px-0">
<h1 className="text-3xl lg:text-6xl font-bold text-bolt-elements-textPrimary mb-4 animate-fade-in">
Where ideas begin
</h1>
@ -376,6 +377,16 @@ 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',
@ -384,7 +395,7 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
<textarea
ref={textareaRef}
className={classNames(
'w-full pl-4 pt-4 pr-16 focus:outline-none resize-none text-bolt-elements-textPrimary placeholder-bolt-elements-textTertiary bg-transparent text-sm',
'w-full pl-4 pt-4 pr-16 outline-none resize-none text-bolt-elements-textPrimary placeholder-bolt-elements-textTertiary bg-transparent text-sm',
'transition-all duration-200',
'hover:border-bolt-elements-focus',
)}
@ -431,6 +442,11 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
return;
}
// ignore if using input method engine
if (event.nativeEvent.isComposing) {
return;
}
handleSendMessage?.(event);
}
}}
@ -473,25 +489,16 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
<IconButton
title="Enhance prompt"
disabled={input.length === 0 || enhancingPrompt}
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?.()}
className={classNames('transition-all', enhancingPrompt ? 'opacity-100' : '')}
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>

13
app/components/chat/Chat.client.tsx
View File

@ -92,6 +92,7 @@ export const ChatImpl = memo(
const [chatStarted, setChatStarted] = useState(initialMessages.length > 0);
const [uploadedFiles, setUploadedFiles] = useState<File[]>([]); // Move here
const [imageDataList, setImageDataList] = useState<string[]>([]); // Move here
const files = useStore(workbenchStore.files);
const { activeProviders } = useSettings();
const [model, setModel] = useState(() => {
@ -113,14 +114,24 @@ export const ChatImpl = memo(
api: '/api/chat',
body: {
apiKeys,
files,
},
sendExtraMessageFields: true,
onError: (error) => {
logger.error('Request failed\n\n', error);
toast.error(
'There was an error processing your request: ' + (error.message ? error.message : 'No details were returned'),
);
},
onFinish: () => {
onFinish: (message, response) => {
const usage = response.usage;
if (usage) {
console.log('Token usage:', usage);
// You can now use the usage data as needed
}
logger.debug('Finished streaming');
},
initialMessages,

23
app/components/chat/GitCloneButton.tsx
View File

@ -1,7 +1,6 @@
import ignore from 'ignore';
import { useGit } from '~/lib/hooks/useGit';
import type { Message } from 'ai';
import WithTooltip from '~/components/ui/Tooltip';
import { detectProjectCommands, createCommandsMessage } from '~/utils/projectCommands';
import { generateId } from '~/utils/fileUtils';
@ -73,7 +72,7 @@ export default function GitCloneButton({ importChat }: GitCloneButtonProps) {
const filesMessage: Message = {
role: 'assistant',
content: `Cloning the repo ${repoUrl} into ${workdir}
<boltArtifact id="imported-files" title="Git Cloned Files" type="bundled">
<boltArtifact id="imported-files" title="Git Cloned Files" type="bundled">
${fileContents
.map(
(file) =>
@ -99,17 +98,13 @@ ${file.content}
};
return (
<WithTooltip tooltip="Clone A Git Repo">
<button
onClick={(e) => {
onClick(e);
}}
title="Clone A Git Repo"
className="px-4 py-2 rounded-lg border border-bolt-elements-borderColor bg-bolt-elements-prompt-background text-bolt-elements-textPrimary hover:bg-bolt-elements-background-depth-3 transition-all flex items-center gap-2"
>
<span className="i-ph:git-branch" />
Clone A Git Repo
</button>
</WithTooltip>
<button
onClick={onClick}
title="Clone a Git Repo"
className="px-4 py-2 rounded-lg border border-bolt-elements-borderColor bg-bolt-elements-prompt-background text-bolt-elements-textPrimary hover:bg-bolt-elements-background-depth-3 transition-all flex items-center gap-2"
>
<span className="i-ph:git-branch" />
Clone a Git Repo
</button>
);
}

6
app/components/chat/Messages.client.tsx
View File

@ -65,7 +65,11 @@ export const Messages = React.forwardRef<HTMLDivElement, MessagesProps>((props:
</div>
)}
<div className="grid grid-col-1 w-full">
{isUserMessage ? <UserMessage content={content} /> : <AssistantMessage content={content} />}
{isUserMessage ? (
<UserMessage content={content} />
) : (
<AssistantMessage content={content} annotations={message.annotations} />
)}
</div>
{!isUserMessage && (
<div className="flex gap-2 flex-col lg:flex-row">

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;
};

36
app/components/chat/UserMessage.tsx
View File

@ -12,42 +12,36 @@ interface UserMessageProps {
export function UserMessage({ content }: UserMessageProps) {
if (Array.isArray(content)) {
const textItem = content.find((item) => item.type === 'text');
const textContent = sanitizeUserMessage(textItem?.text || '');
const textContent = stripMetadata(textItem?.text || '');
const images = content.filter((item) => item.type === 'image' && item.image);
return (
<div className="overflow-hidden pt-[4px]">
<div className="flex items-start gap-4">
<div className="flex-1">
<Markdown limitedMarkdown>{textContent}</Markdown>
</div>
{images.length > 0 && (
<div className="flex-shrink-0 w-[160px]">
{images.map((item, index) => (
<div key={index} className="relative">
<img
src={item.image}
alt={`Uploaded image ${index + 1}`}
className="w-full h-[160px] rounded-lg object-cover border border-bolt-elements-borderColor"
/>
</div>
))}
</div>
)}
<div className="flex flex-col gap-4">
{textContent && <Markdown html>{textContent}</Markdown>}
{images.map((item, index) => (
<img
key={index}
src={item.image}
alt={`Image ${index + 1}`}
className="max-w-full h-auto rounded-lg"
style={{ maxHeight: '512px', objectFit: 'contain' }}
/>
))}
</div>
</div>
);
}
const textContent = sanitizeUserMessage(content);
const textContent = stripMetadata(content);
return (
<div className="overflow-hidden pt-[4px]">
<Markdown limitedMarkdown>{textContent}</Markdown>
<Markdown html>{textContent}</Markdown>
</div>
);
}
function sanitizeUserMessage(content: string) {
function stripMetadata(content: string) {
return content.replace(MODEL_REGEX, '').replace(PROVIDER_REGEX, '');
}

1
app/components/chat/chatExportAndImport/ImportButtons.tsx
View File

@ -1,6 +1,5 @@
import type { Message } from 'ai';
import { toast } from 'react-toastify';
import React from 'react';
import { ImportFolderButton } from '~/components/chat/ImportFolderButton';
export function ImportButtons(importChat: ((description: string, messages: Message[]) => Promise<void>) | undefined) {

2
app/components/settings/SettingsWindow.tsx
View File

@ -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
? [
{

6
app/components/settings/chat-history/ChatHistoryTab.tsx
View File

@ -22,6 +22,12 @@ 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);

1
app/components/settings/connections/ConnectionsTab.tsx
View File

@ -15,6 +15,7 @@ export default function ConnectionsTab() {
hasToken: !!githubToken,
});
toast.success('GitHub credentials saved successfully!');
Cookies.set('git:github.com', JSON.stringify({ username: githubToken, password: 'x-oauth-basic' }));
};
return (

103
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;
@ -33,14 +34,25 @@ interface IProviderConfig {
name: string;
settings: {
enabled: boolean;
baseUrl?: string;
};
}
interface CommitData {
commit: string;
version?: string;
}
const connitJson: CommitData = commit;
const LOCAL_PROVIDERS = ['Ollama', 'LMStudio', 'OpenAILike'];
const versionHash = commit.commit;
const versionHash = connitJson.commit;
const versionTag = connitJson.version;
const GITHUB_URLS = {
original: 'https://api.github.com/repos/stackblitz-labs/bolt.diy/commits/main',
fork: 'https://api.github.com/repos/Stijnus/bolt.new-any-llm/commits/main',
commitJson: (branch: string) =>
`https://raw.githubusercontent.com/stackblitz-labs/bolt.diy/${branch}/app/commit.json`,
};
function getSystemInfo(): SystemInfo {
@ -291,7 +303,7 @@ const checkProviderStatus = async (url: string | null, providerName: string): Pr
};
export default function DebugTab() {
const { providers } = useSettings();
const { providers, latestBranch } = useSettings();
const [activeProviders, setActiveProviders] = useState<ProviderStatus[]>([]);
const [updateMessage, setUpdateMessage] = useState<string>('');
const [systemInfo] = useState<SystemInfo>(getSystemInfo());
@ -304,29 +316,31 @@ export default function DebugTab() {
try {
const entries = Object.entries(providers) as [string, IProviderConfig][];
const statuses = entries
.filter(([, provider]) => LOCAL_PROVIDERS.includes(provider.name))
.map(async ([, provider]) => {
const envVarName =
provider.name.toLowerCase() === 'ollama'
? 'OLLAMA_API_BASE_URL'
: provider.name.toLowerCase() === 'lmstudio'
? 'LMSTUDIO_API_BASE_URL'
: `REACT_APP_${provider.name.toUpperCase()}_URL`;
const statuses = await Promise.all(
entries
.filter(([, provider]) => LOCAL_PROVIDERS.includes(provider.name))
.map(async ([, provider]) => {
const envVarName =
provider.name.toLowerCase() === 'ollama'
? 'OLLAMA_API_BASE_URL'
: provider.name.toLowerCase() === 'lmstudio'
? 'LMSTUDIO_API_BASE_URL'
: `REACT_APP_${provider.name.toUpperCase()}_URL`;
// Access environment variables through import.meta.env
const url = import.meta.env[envVarName] || null;
console.log(`[Debug] Using URL for ${provider.name}:`, url, `(from ${envVarName})`);
// Access environment variables through import.meta.env
const url = import.meta.env[envVarName] || provider.settings.baseUrl || null; // Ensure baseUrl is used
console.log(`[Debug] Using URL for ${provider.name}:`, url, `(from ${envVarName})`);
const status = await checkProviderStatus(url, provider.name);
const status = await checkProviderStatus(url, provider.name);
return {
...status,
enabled: provider.settings.enabled ?? false,
};
});
return {
...status,
enabled: provider.settings.enabled ?? false,
};
}),
);
Promise.all(statuses).then(setActiveProviders);
setActiveProviders(statuses);
} catch (error) {
console.error('[Debug] Failed to update provider statuses:', error);
}
@ -349,32 +363,27 @@ export default function DebugTab() {
setIsCheckingUpdate(true);
setUpdateMessage('Checking for updates...');
const [originalResponse, forkResponse] = await Promise.all([
fetch(GITHUB_URLS.original),
fetch(GITHUB_URLS.fork),
]);
const branchToCheck = latestBranch ? 'main' : 'stable';
console.log(`[Debug] Checking for updates against ${branchToCheck} branch`);
if (!originalResponse.ok || !forkResponse.ok) {
throw new Error('Failed to fetch repository information');
const localCommitResponse = await fetch(GITHUB_URLS.commitJson(branchToCheck));
if (!localCommitResponse.ok) {
throw new Error('Failed to fetch local commit info');
}
const [originalData, forkData] = await Promise.all([
originalResponse.json() as Promise<{ sha: string }>,
forkResponse.json() as Promise<{ sha: string }>,
]);
const localCommitData = (await localCommitResponse.json()) as CommitData;
const remoteCommitHash = localCommitData.commit;
const currentCommitHash = versionHash;
const originalCommitHash = originalData.sha;
const forkCommitHash = forkData.sha;
const isForked = versionHash === forkCommitHash && forkCommitHash !== originalCommitHash;
if (originalCommitHash !== versionHash) {
if (remoteCommitHash !== currentCommitHash) {
setUpdateMessage(
`Update available from original repository!\n` +
`Current: ${versionHash.slice(0, 7)}${isForked ? ' (forked)' : ''}\n` +
`Latest: ${originalCommitHash.slice(0, 7)}`,
`Update available from ${branchToCheck} branch!\n` +
`Current: ${currentCommitHash.slice(0, 7)}\n` +
`Latest: ${remoteCommitHash.slice(0, 7)}`,
);
} else {
setUpdateMessage('You are on the latest version from the original repository');
setUpdateMessage(`You are on the latest version from the ${branchToCheck} branch`);
}
} catch (error) {
setUpdateMessage('Failed to check for updates');
@ -382,7 +391,7 @@ export default function DebugTab() {
} finally {
setIsCheckingUpdate(false);
}
}, [isCheckingUpdate]);
}, [isCheckingUpdate, latestBranch]);
const handleCopyToClipboard = useCallback(() => {
const debugInfo = {
@ -397,13 +406,17 @@ export default function DebugTab() {
responseTime: provider.responseTime,
url: provider.url,
})),
Version: versionHash,
Version: {
hash: versionHash.slice(0, 7),
branch: latestBranch ? 'main' : 'stable',
},
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]);
}, [activeProviders, systemInfo, latestBranch]);
return (
<div className="p-4 space-y-6">
@ -510,7 +523,7 @@ export default function DebugTab() {
<p className="text-sm font-medium text-bolt-elements-textPrimary font-mono">
{versionHash.slice(0, 7)}
<span className="ml-2 text-xs text-bolt-elements-textSecondary">
({new Date().toLocaleDateString()})
(v{versionTag || '0.0.1'}) - {latestBranch ? 'nightly' : 'stable'}
</span>
</p>
</div>

32
app/components/settings/features/FeaturesTab.tsx
View File

@ -3,18 +3,32 @@ import { Switch } from '~/components/ui/Switch';
import { useSettings } from '~/lib/hooks/useSettings';
export default function FeaturesTab() {
const { debug, enableDebugMode, isLocalModel, enableLocalModels, eventLogs, enableEventLogs } = useSettings();
const { debug, enableDebugMode, isLocalModel, enableLocalModels, enableEventLogs, latestBranch, enableLatestBranch } = 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-2">
<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-2">
<span className="text-bolt-elements-textPrimary">Event Logs</span>
<Switch className="ml-auto" checked={eventLogs} onCheckedChange={enableEventLogs} />
<div className="space-y-4">
<div className="flex items-center justify-between">
<span className="text-bolt-elements-textPrimary">Debug Features</span>
<Switch className="ml-auto" checked={debug} onCheckedChange={handleToggle} />
</div>
<div className="flex items-center justify-between">
<div>
<span className="text-bolt-elements-textPrimary">Use Main Branch</span>
<p className="text-sm text-bolt-elements-textSecondary">
Check for updates against the main branch instead of stable
</p>
</div>
<Switch className="ml-auto" checked={latestBranch} onCheckedChange={enableLatestBranch} />
</div>
</div>
</div>
@ -24,7 +38,7 @@ export default function FeaturesTab() {
Disclaimer: Experimental features may be unstable and are subject to change.
</p>
<div className="flex items-center justify-between mb-2">
<span className="text-bolt-elements-textPrimary">Enable Local Models</span>
<span className="text-bolt-elements-textPrimary">Experimental Providers</span>
<Switch className="ml-auto" checked={isLocalModel} onCheckedChange={enableLocalModels} />
</div>
</div>

13
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/Default.svg'; // Adjust the path as necessary
export default function ProvidersTab() {
const { providers, updateProviderSettings, isLocalModel } = useSettings();
const [filteredProviders, setFilteredProviders] = useState<IProviderConfig[]>([]);
@ -51,7 +54,15 @@ 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
View File

@ -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);
}

92
app/lib/.server/llm/stream-text.ts
View File

@ -3,6 +3,7 @@ import { getModel } from '~/lib/.server/llm/model';
import { MAX_TOKENS } from './constants';
import { getSystemPrompt } from './prompts';
import { DEFAULT_MODEL, DEFAULT_PROVIDER, getModelList, MODEL_REGEX, PROVIDER_REGEX } from '~/utils/constants';
import ignore from 'ignore';
import type { IProviderSetting } from '~/types/model';
interface ToolResult<Name extends string, Args, Result> {
@ -23,6 +24,78 @@ export type Messages = Message[];
export type StreamingOptions = Omit<Parameters<typeof _streamText>[0], 'model'>;
export interface File {
type: 'file';
content: string;
isBinary: boolean;
}
export interface Folder {
type: 'folder';
}
type Dirent = File | Folder;
export type FileMap = Record<string, Dirent | undefined>;
export function simplifyBoltActions(input: string): string {
// Using regex to match boltAction tags that have type="file"
const regex = /(<boltAction[^>]*type="file"[^>]*>)([\s\S]*?)(<\/boltAction>)/g;
// Replace each matching occurrence
return input.replace(regex, (_0, openingTag, _2, closingTag) => {
return `${openingTag}\n ...\n ${closingTag}`;
});
}
// Common patterns to ignore, similar to .gitignore
const IGNORE_PATTERNS = [
'node_modules/**',
'.git/**',
'dist/**',
'build/**',
'.next/**',
'coverage/**',
'.cache/**',
'.vscode/**',
'.idea/**',
'**/*.log',
'**/.DS_Store',
'**/npm-debug.log*',
'**/yarn-debug.log*',
'**/yarn-error.log*',
'**/*lock.json',
'**/*lock.yml',
];
const ig = ignore().add(IGNORE_PATTERNS);
function createFilesContext(files: FileMap) {
let filePaths = Object.keys(files);
filePaths = filePaths.filter((x) => {
const relPath = x.replace('/home/project/', '');
return !ig.ignores(relPath);
});
const fileContexts = filePaths
.filter((x) => files[x] && files[x].type == 'file')
.map((path) => {
const dirent = files[path];
if (!dirent || dirent.type == 'folder') {
return '';
}
const codeWithLinesNumbers = dirent.content
.split('\n')
.map((v, i) => `${i + 1}|${v}`)
.join('\n');
return `<file path="${path}">\n${codeWithLinesNumbers}\n</file>`;
});
return `Below are the code files present in the webcontainer:\ncode format:\n<line number>|<line content>\n <codebase>${fileContexts.join('\n\n')}\n\n</codebase>`;
}
function extractPropertiesFromMessage(message: Message): { model: string; provider: string; content: string } {
const textContent = Array.isArray(message.content)
? message.content.find((item) => item.type === 'text')?.text || ''
@ -64,9 +137,10 @@ export async function streamText(props: {
env: Env;
options?: StreamingOptions;
apiKeys?: Record<string, string>;
files?: FileMap;
providerSettings?: Record<string, IProviderSetting>;
}) {
const { messages, env, options, apiKeys, providerSettings } = props;
const { messages, env, options, apiKeys, files, providerSettings } = props;
let currentModel = DEFAULT_MODEL;
let currentProvider = DEFAULT_PROVIDER.name;
const MODEL_LIST = await getModelList(apiKeys || {}, providerSettings);
@ -80,6 +154,12 @@ export async function streamText(props: {
currentProvider = provider;
return { ...message, content };
} else if (message.role == 'assistant') {
const content = message.content;
// content = simplifyBoltActions(content);
return { ...message, content };
}
@ -90,9 +170,17 @@ export async function streamText(props: {
const dynamicMaxTokens = modelDetails && modelDetails.maxTokenAllowed ? modelDetails.maxTokenAllowed : MAX_TOKENS;
let systemPrompt = getSystemPrompt();
let codeContext = '';
if (files) {
codeContext = createFilesContext(files);
systemPrompt = `${systemPrompt}\n\n ${codeContext}`;
}
return _streamText({
model: getModel(currentProvider, currentModel, env, apiKeys, providerSettings) as any,
system: getSystemPrompt(),
system: systemPrompt,
maxTokens: dynamicMaxTokens,
messages: convertToCoreMessages(processedMessages as any),
...options,

4
app/lib/hooks/useMessageParser.ts
View File

@ -23,14 +23,14 @@ const messageParser = new StreamingMessageParser({
logger.trace('onActionOpen', data.action);
// we only add shell actions when when the close tag got parsed because only then we have the content
if (data.action.type !== 'shell') {
if (data.action.type === 'file') {
workbenchStore.addAction(data);
}
},
onActionClose: (data) => {
logger.trace('onActionClose', data.action);
if (data.action.type === 'shell') {
if (data.action.type !== 'file') {
workbenchStore.addAction(data);
}

58
app/lib/hooks/useSettings.tsx
View File

@ -5,19 +5,50 @@ import {
isLocalModelsEnabled,
LOCAL_PROVIDERS,
providersStore,
latestBranchStore,
} from '~/lib/stores/settings';
import { useCallback, useEffect, useState } from 'react';
import Cookies from 'js-cookie';
import type { IProviderSetting, ProviderInfo } from '~/types/model';
import { logStore } from '~/lib/stores/logs'; // assuming logStore is imported from this location
import commit from '~/commit.json';
interface CommitData {
commit: string;
version?: string;
}
const commitJson: CommitData = commit;
export function useSettings() {
const providers = useStore(providersStore);
const debug = useStore(isDebugMode);
const eventLogs = useStore(isEventLogsEnabled);
const isLocalModel = useStore(isLocalModelsEnabled);
const latestBranch = useStore(latestBranchStore);
const [activeProviders, setActiveProviders] = useState<ProviderInfo[]>([]);
// Function to check if we're on stable version
const checkIsStableVersion = async () => {
try {
const stableResponse = await fetch(
`https://raw.githubusercontent.com/stackblitz-labs/bolt.diy/refs/tags/v${commitJson.version}/app/commit.json`,
);
if (!stableResponse.ok) {
console.warn('Failed to fetch stable commit info');
return false;
}
const stableData = (await stableResponse.json()) as CommitData;
return commit.commit === stableData.commit;
} catch (error) {
console.warn('Error checking stable version:', error);
return false;
}
};
// reading values from cookies on mount
useEffect(() => {
const savedProviders = Cookies.get('providers');
@ -60,6 +91,25 @@ export function useSettings() {
if (savedLocalModels) {
isLocalModelsEnabled.set(savedLocalModels === 'true');
}
// load latest branch setting from cookies or determine based on version
const savedLatestBranch = Cookies.get('latestBranch');
let checkCommit = Cookies.get('commitHash');
if (checkCommit === undefined) {
checkCommit = commit.commit;
}
if (savedLatestBranch === undefined || checkCommit !== commit.commit) {
// If setting hasn't been set by user, check version
checkIsStableVersion().then((isStable) => {
const shouldUseLatest = !isStable;
latestBranchStore.set(shouldUseLatest);
Cookies.set('latestBranch', String(shouldUseLatest));
Cookies.set('commitHash', String(commit.commit));
});
} else {
latestBranchStore.set(savedLatestBranch === 'true');
}
}, []);
// writing values to cookies on change
@ -111,6 +161,12 @@ export function useSettings() {
Cookies.set('isLocalModelsEnabled', String(enabled));
}, []);
const enableLatestBranch = useCallback((enabled: boolean) => {
latestBranchStore.set(enabled);
logStore.logSystem(`Main branch updates ${enabled ? 'enabled' : 'disabled'}`);
Cookies.set('latestBranch', String(enabled));
}, []);
return {
providers,
activeProviders,
@ -121,5 +177,7 @@ export function useSettings() {
enableEventLogs,
isLocalModel,
enableLocalModels,
latestBranch,
enableLatestBranch,
};
}

2
app/lib/stores/settings.ts
View File

@ -46,3 +46,5 @@ export const isDebugMode = atom(false);
export const isEventLogsEnabled = atom(false);
export const isLocalModelsEnabled = atom(true);
export const latestBranchStore = atom(false);

17
app/lib/stores/workbench.ts
View File

@ -16,6 +16,7 @@ import * as nodePath from 'node:path';
import { extractRelativePath } from '~/utils/diff';
import { description } from '~/lib/persistence';
import Cookies from 'js-cookie';
import { createSampler } from '~/utils/sampler';
export interface ArtifactState {
id: string;
@ -262,9 +263,9 @@ export class WorkbenchStore {
this.artifacts.setKey(messageId, { ...artifact, ...state });
}
addAction(data: ActionCallbackData) {
this._addAction(data);
// this._addAction(data);
// this.addToExecutionQueue(()=>this._addAction(data))
this.addToExecutionQueue(() => this._addAction(data));
}
async _addAction(data: ActionCallbackData) {
const { messageId } = data;
@ -280,7 +281,7 @@ export class WorkbenchStore {
runAction(data: ActionCallbackData, isStreaming: boolean = false) {
if (isStreaming) {
this._runAction(data, isStreaming);
this.actionStreamSampler(data, isStreaming);
} else {
this.addToExecutionQueue(() => this._runAction(data, isStreaming));
}
@ -294,6 +295,12 @@ export class WorkbenchStore {
unreachable('Artifact not found');
}
const action = artifact.runner.actions.get()[data.actionId];
if (!action || action.executed) {
return;
}
if (data.action.type === 'file') {
const wc = await webcontainer;
const fullPath = nodePath.join(wc.workdir, data.action.filePath);
@ -323,6 +330,10 @@ export class WorkbenchStore {
}
}
actionStreamSampler = createSampler(async (data: ActionCallbackData, isStreaming: boolean = false) => {
return await this._runAction(data, isStreaming);
}, 100); // TODO: remove this magic number to have it configurable
#getArtifact(id: string) {
const artifacts = this.artifacts.get();
return artifacts[id];

71
app/routes/api.chat.ts
View File

@ -1,4 +1,5 @@
import { type ActionFunctionArgs } from '@remix-run/cloudflare';
import { createDataStream } from 'ai';
import { MAX_RESPONSE_SEGMENTS, MAX_TOKENS } from '~/lib/.server/llm/constants';
import { CONTINUE_PROMPT } from '~/lib/.server/llm/prompts';
import { streamText, type Messages, type StreamingOptions } from '~/lib/.server/llm/stream-text';
@ -9,17 +10,15 @@ export async function action(args: ActionFunctionArgs) {
return chatAction(args);
}
function parseCookies(cookieHeader: string) {
const cookies: any = {};
function parseCookies(cookieHeader: string): Record<string, string> {
const cookies: Record<string, string> = {};
// Split the cookie string by semicolons and spaces
const items = cookieHeader.split(';').map((cookie) => cookie.trim());
items.forEach((item) => {
const [name, ...rest] = item.split('=');
if (name && rest) {
// Decode the name and value, and join value parts in case it contains '='
const decodedName = decodeURIComponent(name.trim());
const decodedValue = decodeURIComponent(rest.join('=').trim());
cookies[decodedName] = decodedValue;
@ -30,14 +29,12 @@ function parseCookies(cookieHeader: string) {
}
async function chatAction({ context, request }: ActionFunctionArgs) {
const { messages } = await request.json<{
const { messages, files } = await request.json<{
messages: Messages;
model: string;
files: any;
}>();
const cookieHeader = request.headers.get('Cookie');
// Parse the cookie's value (returns an object or null if no cookie exists)
const apiKeys = JSON.parse(parseCookies(cookieHeader || '').apiKeys || '{}');
const providerSettings: Record<string, IProviderSetting> = JSON.parse(
parseCookies(cookieHeader || '').providers || '{}',
@ -45,12 +42,42 @@ async function chatAction({ context, request }: ActionFunctionArgs) {
const stream = new SwitchableStream();
const cumulativeUsage = {
completionTokens: 0,
promptTokens: 0,
totalTokens: 0,
};
try {
const options: StreamingOptions = {
toolChoice: 'none',
onFinish: async ({ text: content, finishReason }) => {
onFinish: async ({ text: content, finishReason, usage }) => {
console.log('usage', usage);
if (usage) {
cumulativeUsage.completionTokens += usage.completionTokens || 0;
cumulativeUsage.promptTokens += usage.promptTokens || 0;
cumulativeUsage.totalTokens += usage.totalTokens || 0;
}
if (finishReason !== 'length') {
return stream.close();
return stream
.switchSource(
createDataStream({
async execute(dataStream) {
dataStream.writeMessageAnnotation({
type: 'usage',
value: {
completionTokens: cumulativeUsage.completionTokens,
promptTokens: cumulativeUsage.promptTokens,
totalTokens: cumulativeUsage.totalTokens,
},
});
},
onError: (error: any) => `Custom error: ${error.message}`,
}),
)
.then(() => stream.close());
}
if (stream.switches >= MAX_RESPONSE_SEGMENTS) {
@ -64,15 +91,29 @@ async function chatAction({ context, request }: ActionFunctionArgs) {
messages.push({ role: 'assistant', content });
messages.push({ role: 'user', content: CONTINUE_PROMPT });
const result = await streamText({ messages, env: context.cloudflare.env, options, apiKeys, providerSettings });
const result = await streamText({
messages,
env: context.cloudflare.env,
options,
apiKeys,
files,
providerSettings,
});
return stream.switchSource(result.toAIStream());
return stream.switchSource(result.toDataStream());
},
};
const result = await streamText({ messages, env: context.cloudflare.env, options, apiKeys, providerSettings });
const result = await streamText({
messages,
env: context.cloudflare.env,
options,
apiKeys,
files,
providerSettings,
});
stream.switchSource(result.toAIStream());
stream.switchSource(result.toDataStream());
return new Response(stream.readable, {
status: 200,
@ -81,7 +122,7 @@ async function chatAction({ context, request }: ActionFunctionArgs) {
},
});
} catch (error: any) {
console.log(error);
console.error(error);
if (error.message?.includes('API key')) {
throw new Response('Invalid or missing API key', {

54
app/routes/api.enhancer.ts
View File

@ -1,5 +1,6 @@
import { type ActionFunctionArgs } from '@remix-run/cloudflare';
import { StreamingTextResponse, parseStreamPart } from 'ai';
//import { StreamingTextResponse, parseStreamPart } from 'ai';
import { streamText } from '~/lib/.server/llm/stream-text';
import { stripIndents } from '~/utils/stripIndent';
import type { IProviderSetting, ProviderInfo } from '~/types/model';
@ -73,32 +74,32 @@ async function enhancerAction({ context, request }: ActionFunctionArgs) {
`[Model: ${model}]\n\n[Provider: ${providerName}]\n\n` +
stripIndents`
You are a professional prompt engineer specializing in crafting precise, effective prompts.
Your task is to enhance prompts by making them more specific, actionable, and effective.
Your task is to enhance prompts by making them more specific, actionable, and effective.
I want you to improve the user prompt that is wrapped in \`<original_prompt>\` tags.
I want you to improve the user prompt that is wrapped in \`<original_prompt>\` tags.
For valid prompts:
- Make instructions explicit and unambiguous
- Add relevant context and constraints
- Remove redundant information
- Maintain the core intent
- Ensure the prompt is self-contained
- Use professional language
For valid prompts:
- Make instructions explicit and unambiguous
- Add relevant context and constraints
- Remove redundant information
- Maintain the core intent
- Ensure the prompt is self-contained
- Use professional language
For invalid or unclear prompts:
- Respond with a clear, professional guidance message
- Keep responses concise and actionable
- Maintain a helpful, constructive tone
- Focus on what the user should provide
- Use a standard template for consistency
For invalid or unclear prompts:
- Respond with clear, professional guidance
- Keep responses concise and actionable
- Maintain a helpful, constructive tone
- Focus on what the user should provide
- Use a standard template for consistency
IMPORTANT: Your response must ONLY contain the enhanced prompt text.
Do not include any explanations, metadata, or wrapper tags.
IMPORTANT: Your response must ONLY contain the enhanced prompt text.
Do not include any explanations, metadata, or wrapper tags.
<original_prompt>
${message}
</original_prompt>
`,
<original_prompt>
${message}
</original_prompt>
`,
},
],
env: context.cloudflare.env,
@ -113,7 +114,7 @@ async function enhancerAction({ context, request }: ActionFunctionArgs) {
for (const line of lines) {
try {
const parsed = parseStreamPart(line);
const parsed = JSON.parse(line);
if (parsed.type === 'text') {
controller.enqueue(encoder.encode(parsed.value));
@ -128,7 +129,12 @@ async function enhancerAction({ context, request }: ActionFunctionArgs) {
const transformedStream = result.toDataStream().pipeThrough(transformStream);
return new StreamingTextResponse(transformedStream);
return new Response(transformedStream, {
status: 200,
headers: {
'Content-Type': 'text/plain; charset=utf-8',
},
});
} catch (error: unknown) {
console.log(error);

33
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];
@ -462,10 +487,6 @@ async function getOpenRouterModels(): Promise<ModelInfo[]> {
}
async function getLMStudioModels(_apiKeys?: Record<string, string>, settings?: IProviderSetting): Promise<ModelInfo[]> {
if (typeof window === 'undefined') {
return [];
}
try {
const baseUrl = settings?.baseUrl || import.meta.env.LMSTUDIO_API_BASE_URL || 'http://localhost:1234';
const response = await fetch(`${baseUrl}/v1/models`);
@ -478,8 +499,6 @@ async function getLMStudioModels(_apiKeys?: Record<string, string>, settings?: I
}));
} catch (e: any) {
logStore.logError('Failed to get LMStudio models', e, { baseUrl: settings?.baseUrl });
logger.warn('Failed to get LMStudio models: ', e.message || '');
return [];
}
}

49
app/utils/sampler.ts Normal file
View File

@ -0,0 +1,49 @@
/**
* Creates a function that samples calls at regular intervals and captures trailing calls.
* - Drops calls that occur between sampling intervals
* - Takes one call per sampling interval if available
* - Captures the last call if no call was made during the interval
*
* @param fn The function to sample
* @param sampleInterval How often to sample calls (in ms)
* @returns The sampled function
*/
export function createSampler<T extends (...args: any[]) => any>(fn: T, sampleInterval: number): T {
let lastArgs: Parameters<T> | null = null;
let lastTime = 0;
let timeout: NodeJS.Timeout | null = null;
// Create a function with the same type as the input function
const sampled = function (this: any, ...args: Parameters<T>) {
const now = Date.now();
lastArgs = args;
// If we're within the sample interval, just store the args
if (now - lastTime < sampleInterval) {
// Set up trailing call if not already set
if (!timeout) {
timeout = setTimeout(
() => {
timeout = null;
lastTime = Date.now();
if (lastArgs) {
fn.apply(this, lastArgs);
lastArgs = null;
}
},
sampleInterval - (now - lastTime),
);
}
return;
}
// If we're outside the interval, execute immediately
lastTime = now;
fn.apply(this, args);
lastArgs = null;
} as T;
return sampled;
}

40
docs/docs/CONTRIBUTING.md
View File

@ -1,11 +1,5 @@
# Contribution Guidelines
## DEFAULT_NUM_CTX
The `DEFAULT_NUM_CTX` environment variable can be used to limit the maximum number of context values used by the qwen2.5-coder model. For example, to limit the context to 24576 values (which uses 32GB of VRAM), set `DEFAULT_NUM_CTX=24576` in your `.env.local` file.
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)
- [How Can I Contribute?](#how-can-i-contribute)
@ -14,10 +8,14 @@ First off, thank you for considering contributing to Bolt.diy! This fork aims to
- [Development Setup](#development-setup)
- [Deploymnt with Docker](#docker-deployment-documentation)
---
## Code of Conduct
This project and everyone participating in it is governed by our Code of Conduct. By participating, you are expected to uphold this code. Please report unacceptable behavior to the project maintainers.
---
## How Can I Contribute?
### 🐞 Reporting Bugs and Feature Requests
@ -35,6 +33,8 @@ This project and everyone participating in it is governed by our Code of Conduct
### ✨ Becoming a Core Contributor
We're looking for dedicated contributors to help maintain and grow this project. If you're interested in becoming a core contributor, please fill out our [Contributor Application Form](https://forms.gle/TBSteXSDCtBDwr5m7).
---
## Pull Request Guidelines
### 📝 PR Checklist
@ -49,6 +49,8 @@ We're looking for dedicated contributors to help maintain and grow this project.
3. Address all review comments
4. Maintain clean commit history
---
## Coding Standards
### 💻 General Guidelines
@ -57,6 +59,8 @@ We're looking for dedicated contributors to help maintain and grow this project.
- Keep functions focused and small
- Use meaningful variable names
---
## Development Setup
### 🔄 Initial Setup
@ -106,6 +110,8 @@ pnpm run dev
**Note**: You will need Google Chrome Canary to run this locally if you use Chrome! It's an easy install and a good browser for web development anyway.
---
## Testing
Run the test suite with:
@ -114,6 +120,8 @@ Run the test suite with:
pnpm test
```
---
## Deployment
To deploy the application to Cloudflare Pages:
@ -124,6 +132,8 @@ pnpm run deploy
Make sure you have the necessary permissions and Wrangler is correctly configured for your Cloudflare account.
---
# Docker Deployment Documentation
This guide outlines various methods for building and deploying the application using Docker.
@ -166,6 +176,8 @@ docker-compose --profile development up
docker-compose --profile production up
```
---
## Running the Application
After building using any of the methods above, run the container with:
@ -178,6 +190,8 @@ docker run -p 5173:5173 --env-file .env.local bolt-ai:development
docker run -p 5173:5173 --env-file .env.local bolt-ai:production
```
---
## Deployment with Coolify
[Coolify](https://github.com/coollabsio/coolify) provides a straightforward deployment process:
@ -195,6 +209,8 @@ docker run -p 5173:5173 --env-file .env.local bolt-ai:production
- Adjust other environment variables as needed
7. Deploy the application
---
## VS Code Integration
The `docker-compose.yaml` configuration is compatible with VS Code dev containers:
@ -203,6 +219,8 @@ The `docker-compose.yaml` configuration is compatible with VS Code dev container
2. Select the dev container configuration
3. Choose the "development" profile from the context menu
---
## Environment Files
Ensure you have the appropriate `.env.local` file configured before running the containers. This file should contain:
@ -210,6 +228,16 @@ Ensure you have the appropriate `.env.local` file configured before running the
- Environment-specific configurations
- Other required environment variables
---
## DEFAULT_NUM_CTX
The `DEFAULT_NUM_CTX` environment variable can be used to limit the maximum number of context values used by the qwen2.5-coder model. For example, to limit the context to 24576 values (which uses 32GB of VRAM), set `DEFAULT_NUM_CTX=24576` in your `.env.local` file.
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.
---
## Notes
- Port 5173 is exposed and mapped for both development and production environments

17
docs/docs/FAQ.md
View File

@ -1,15 +1,15 @@
# Frequently Asked Questions (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**:
Mention the frameworks or libraries you want to use (e.g., Astro, Tailwind, ShadCN) in your initial prompt. This ensures that Bolt.diy scaffolds the project according to your preferences.
Mention the frameworks or libraries you want to use (e.g., Astro, Tailwind, ShadCN) in your initial prompt. This ensures that bolt.diy scaffolds the project according to your preferences.
- **Use the enhance prompt icon**:
Before sending your prompt, click the *enhance* icon to let the AI refine your prompt. You can edit the suggested improvements before submitting.
- **Scaffold the basics first, then add features**:
Ensure the foundational structure of your application is in place before introducing advanced functionality. This helps Bolt.diy establish a solid base to build on.
Ensure the foundational structure of your application is in place before introducing advanced functionality. This helps bolt.diy establish a solid base to build on.
- **Batch simple instructions**:
Combine simple tasks into a single prompt to save time and reduce API credit consumption. For example:
@ -17,14 +17,13 @@
---
## How do I contribute to Bolt.diy?
## How do I contribute to bolt.diy?
Check out our [Contribution Guide](CONTRIBUTING.md) for more details on how to get involved!
---
## What are the future plans for Bolt.diy?
## What are the future plans for bolt.diy?
Visit our [Roadmap](https://roadmap.sh/r/ottodev-roadmap-2ovzo) for the latest updates.
New features and improvements are on the way!
@ -33,13 +32,13 @@ New features and improvements are on the way!
## Why are there so many open issues/pull requests?
Bolt.diy began as a small showcase project on @ColeMedin's YouTube channel to explore editing open-source projects with local LLMs. However, it quickly grew into a massive community effort!
bolt.diy began as a small showcase project on @ColeMedin's YouTube channel to explore editing open-source projects with local LLMs. However, it quickly grew into a massive community effort!
We’re forming a team of maintainers to manage demand and streamline issue resolution. The maintainers are rockstars, and we’re also exploring partnerships to help the project thrive.
---
## How do local LLMs compare to larger models like Claude 3.5 Sonnet for Bolt.diy?
## How do local LLMs compare to larger models like Claude 3.5 Sonnet for bolt.diy?
While local LLMs are improving rapidly, larger models like GPT-4o, Claude 3.5 Sonnet, and DeepSeek Coder V2 236b still offer the best results for complex applications. Our ongoing focus is to improve prompts, agents, and the platform to better support smaller local LLMs.
@ -73,4 +72,4 @@ Local LLMs like Qwen-2.5-Coder are powerful for small applications but still exp
---
Got more questions? Feel free to reach out or open an issue in our GitHub repo!
Got more questions? Feel free to reach out or open an issue in our GitHub repo!

54
docs/docs/index.md
View File

@ -1,38 +1,46 @@
# Welcome to Bolt DIY
Bolt.diy 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
bolt.diy 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.
Join the community!
---
https://thinktank.ottomator.ai
## Join the community!
## Whats Bolt.diy
[Join the community!](https://thinktank.ottomator.ai)
Bolt.diy is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from your browser—no local setup required. If you're here to build your own AI-powered web dev agent using the Bolt open source codebase, [click here to get started!](./CONTRIBUTING.md)
---
## What Makes Bolt.diy Different
## Whats bolt.diy
Claude, v0, etc are incredible- but you can't install packages, run backends, or edit code. That’s where Bolt.diy stands out:
bolt.diy is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from your browser—no local setup required. If you're here to build your own AI-powered web dev agent using the Bolt open source codebase, [click here to get started!](./CONTRIBUTING.md)
- **Full-Stack in the Browser**: Bolt.diy integrates cutting-edge AI models with an in-browser development environment powered by **StackBlitz’s WebContainers**. This allows you to:
---
## What Makes bolt.diy Different
Claude, v0, etc are incredible- but you can't install packages, run backends, or edit code. That’s where bolt.diy stands out:
- **Full-Stack in the Browser**: bolt.diy integrates cutting-edge AI models with an in-browser development environment powered by **StackBlitz’s WebContainers**. This allows you to:
- Install and run npm tools and libraries (like Vite, Next.js, and more)
- Run Node.js servers
- Interact with third-party APIs
- Deploy to production from chat
- Share your work via a URL
- **AI with Environment Control**: Unlike traditional dev environments where the AI can only assist in code generation, Bolt.diy gives AI models **complete control** over the entire environment including the filesystem, node server, package manager, terminal, and browser console. This empowers AI agents to handle the whole app lifecycle—from creation to deployment.
- **AI with Environment Control**: Unlike traditional dev environments where the AI can only assist in code generation, bolt.diy gives AI models **complete control** over the entire environment including the filesystem, node server, package manager, terminal, and browser console. This empowers AI agents to handle the whole app lifecycle—from creation to deployment.
Whether you’re an experienced developer, a PM, or a designer, Bolt.diy allows you to easily build production-grade full-stack applications.
Whether you’re an experienced developer, a PM, or a designer, bolt.diy allows you to easily build production-grade full-stack applications.
For developers interested in building their own AI-powered development tools with WebContainers, check out the open-source Bolt codebase in this repo!
---
## Setup
Many of you are new users to installing software from Github. If you have any installation troubles reach out and submit an "issue" using the links above, or feel free to enhance this documentation by forking, editing the instructions, and doing a pull request.
1. Install Git from https://git-scm.com/downloads
1. [Install Git from](https://git-scm.com/downloads)
2. Install Node.js from https://nodejs.org/en/download/
2. [Install Node.js from](https://nodejs.org/en/download/)
Pay attention to the installer notes after completion.
@ -62,11 +70,11 @@ defaults write com.apple.finder AppleShowAllFiles YES
**NOTE**: you only have to set the ones you want to use and Ollama doesn't need an API key because it runs locally on your computer:
Get your GROQ API Key here: https://console.groq.com/keys
[Get your GROQ API Key here](https://console.groq.com/keys)
Get your Open AI API Key by following these instructions: https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key
[Get your Open AI API Key by following these instructions](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key)
Get your Anthropic API Key in your account settings: https://console.anthropic.com/settings/keys
Get your Anthropic API Key in your [account settings](https://console.anthropic.com/settings/keys)
```
GROQ_API_KEY=XXX
@ -128,6 +136,8 @@ When you run the Docker Compose command with the development profile, any change
make on your machine to the code will automatically be reflected in the site running
on the container (i.e. hot reloading still applies!).
---
## Run Without Docker
1. Install dependencies using Terminal (or CMD in Windows with admin permissions):
@ -148,14 +158,18 @@ sudo npm install -g pnpm
pnpm run dev
```
---
## Adding New LLMs:
To make new LLMs available to use in this version of Bolt.diy, 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.diy, 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!
When you add a new model to the MODEL_LIST array, it will immediately be available to use when you run the app locally or reload it. For Ollama models, make sure you have the model installed already before trying to use it here!
---
## Available Scripts
- `pnpm run dev`: Starts the development server.
@ -167,6 +181,8 @@ When you add a new model to the MODEL_LIST array, it will immediately be availab
- `pnpm run typegen`: Generates TypeScript types using Wrangler.
- `pnpm run deploy`: Builds the project and deploys it to Cloudflare Pages.
---
## Development
To start the development server:
@ -177,9 +193,11 @@ pnpm run dev
This will start the Remix Vite development server. You will need Google Chrome Canary to run this locally if you use Chrome! It's an easy install and a good browser for web development anyway.
---
## Tips and Tricks
Here are some tips to get the most out of Bolt.diy:
Here are some tips to get the most out of 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.

12
docs/mkdocs.yml
View File

@ -1,4 +1,4 @@
site_name: Bolt.diy Docs
site_name: bolt.diy Docs
site_dir: ../site
theme:
name: material
@ -31,7 +31,7 @@ theme:
repo: fontawesome/brands/github
# logo: assets/logo.png
# favicon: assets/logo.png
repo_name: Bolt.diy
repo_name: bolt.diy
repo_url: https://github.com/stackblitz-labs/bolt.diy
edit_uri: ""
@ -40,16 +40,16 @@ extra:
social:
- icon: fontawesome/brands/github
link: https://github.com/stackblitz-labs/bolt.diy
name: Bolt.diy
name: bolt.diy
- icon: fontawesome/brands/discourse
link: https://thinktank.ottomator.ai/
name: Bolt.diy Discourse
name: bolt.diy Discourse
- icon: fontawesome/brands/x-twitter
link: https://x.com/bolt_diy
name: Bolt.diy on X
name: bolt.diy on X
- icon: fontawesome/brands/bluesky
link: https://bsky.app/profile/bolt.diy
name: Bolt.diy on Bluesky
name: bolt.diy on Bluesky

3
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",
@ -72,7 +73,7 @@
"@xterm/addon-fit": "^0.10.0",
"@xterm/addon-web-links": "^0.11.0",
"@xterm/xterm": "^5.5.0",
"ai": "^3.4.33",
"ai": "^4.0.13",
"date-fns": "^3.6.0",
"diff": "^5.2.0",
"file-saver": "^2.0.5",

385
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)
@ -138,8 +141,8 @@ importers:
specifier: ^5.5.0
version: 5.5.0
ai:
specifier: ^3.4.33
version: 3.4.33(react@18.3.1)(sswr@2.1.0(svelte@5.4.0))(svelte@5.4.0)(vue@3.5.13(typescript@5.7.2))(zod@3.23.8)
specifier: ^4.0.13
version: 4.0.18(react@18.3.1)(zod@3.23.8)
date-fns:
specifier: ^3.6.0
version: 3.6.0
@ -348,15 +351,6 @@ packages:
zod:
optional: true
'@ai-sdk/provider-utils@1.0.22':
resolution: {integrity: sha512-YHK2rpj++wnLVc9vPGzGFP3Pjeld2MwhKinetA0zKXOoHAT/Jit5O8kZsxcSlJPu9wvcGT1UGZEjZrtO7PfFOQ==}
engines: {node: '>=18'}
peerDependencies:
zod: ^3.0.0
peerDependenciesMeta:
zod:
optional: true
'@ai-sdk/provider-utils@1.0.9':
resolution: {integrity: sha512-yfdanjUiCJbtGoRGXrcrmXn0pTyDfRIeY6ozDG96D66f2wupZaZvAgKptUa3zDYXtUCQQvcNJ+tipBBfQD/UYA==}
engines: {node: '>=18'}
@ -375,6 +369,15 @@ packages:
zod:
optional: true
'@ai-sdk/provider-utils@2.0.4':
resolution: {integrity: sha512-GMhcQCZbwM6RoZCri0MWeEWXRt/T+uCxsmHEsTwNvEH3GDjNzchfX25C8ftry2MeEOOn6KfqCLSKomcgK6RoOg==}
engines: {node: '>=18'}
peerDependencies:
zod: ^3.0.0
peerDependenciesMeta:
zod:
optional: true
'@ai-sdk/provider@0.0.12':
resolution: {integrity: sha512-oOwPQD8i2Ynpn22cur4sk26FW3mSy6t6/X/K1Ay2yGBKYiSpRyLfObhOrZEGsXDx+3euKy4nEZ193R36NM+tpQ==}
engines: {node: '>=18'}
@ -387,16 +390,16 @@ packages:
resolution: {integrity: sha512-XMsNGJdGO+L0cxhhegtqZ8+T6nn4EoShS819OvCgI2kLbYTIvk0GWFGD0AXJmxkxs3DrpsJxKAFukFR7bvTkgQ==}
engines: {node: '>=18'}
'@ai-sdk/provider@0.0.26':
resolution: {integrity: sha512-dQkfBDs2lTYpKM8389oopPdQgIU007GQyCbuPPrV+K6MtSII3HBfE0stUIMXUb44L+LK1t6GXPP7wjSzjO6uKg==}
engines: {node: '>=18'}
'@ai-sdk/provider@1.0.1':
resolution: {integrity: sha512-mV+3iNDkzUsZ0pR2jG0sVzU6xtQY5DtSCBy3JFycLp6PwjyLw/iodfL3MwdmMCRJWgs3dadcHejRnMvF9nGTBg==}
engines: {node: '>=18'}
'@ai-sdk/react@0.0.70':
resolution: {integrity: sha512-GnwbtjW4/4z7MleLiW+TOZC2M29eCg1tOUpuEiYFMmFNZK8mkrqM0PFZMo6UsYeUYMWqEOOcPOU9OQVJMJh7IQ==}
'@ai-sdk/provider@1.0.2':
resolution: {integrity: sha512-YYtP6xWQyaAf5LiWLJ+ycGTOeBLWrED7LUrvc+SQIWhGaneylqbaGsyQL7VouQUeQ4JZ1qKYZuhmi3W56HADPA==}
engines: {node: '>=18'}
'@ai-sdk/react@1.0.6':
resolution: {integrity: sha512-8Hkserq0Ge6AEi7N4hlv2FkfglAGbkoAXEZ8YSp255c3PbnZz6+/5fppw+aROmZMOfNwallSRuy1i/iPa2rBpQ==}
engines: {node: '>=18'}
peerDependencies:
react: ^18 || ^19 || ^19.0.0-rc
@ -407,26 +410,8 @@ packages:
zod:
optional: true
'@ai-sdk/solid@0.0.54':
resolution: {integrity: sha512-96KWTVK+opdFeRubqrgaJXoNiDP89gNxFRWUp0PJOotZW816AbhUf4EnDjBjXTLjXL1n0h8tGSE9sZsRkj9wQQ==}
engines: {node: '>=18'}
peerDependencies:
solid-js: ^1.7.7
peerDependenciesMeta:
solid-js:
optional: true
'@ai-sdk/svelte@0.0.57':
resolution: {integrity: sha512-SyF9ItIR9ALP9yDNAD+2/5Vl1IT6kchgyDH8xkmhysfJI6WrvJbtO1wdQ0nylvPLcsPoYu+cAlz1krU4lFHcYw==}
engines: {node: '>=18'}
peerDependencies:
svelte: ^3.0.0 || ^4.0.0 || ^5.0.0
peerDependenciesMeta:
svelte:
optional: true
'@ai-sdk/ui-utils@0.0.50':
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ai@3.4.33(react@18.3.1)(sswr@2.1.0(svelte@5.4.0))(svelte@5.4.0)(vue@3.5.13(typescript@5.7.2))(zod@3.23.8):
ai@4.0.18(react@18.3.1)(zod@3.23.8):
dependencies:
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'@ai-sdk/provider-utils': 1.0.22(zod@3.23.8)
'@ai-sdk/react': 0.0.70(react@18.3.1)(zod@3.23.8)
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'@ai-sdk/ui-utils': 0.0.50(zod@3.23.8)
'@ai-sdk/vue': 0.0.59(vue@3.5.13(typescript@5.7.2))(zod@3.23.8)
'@ai-sdk/provider': 1.0.2
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'@ai-sdk/react': 1.0.6(react@18.3.1)(zod@3.23.8)
'@ai-sdk/ui-utils': 1.0.5(zod@3.23.8)
'@opentelemetry/api': 1.9.0
eventsource-parser: 1.1.2
json-schema: 0.4.0
jsondiffpatch: 0.6.0
secure-json-parse: 2.7.0
zod-to-json-schema: 3.23.5(zod@3.23.8)
optionalDependencies:
react: 18.3.1
sswr: 2.1.0(svelte@5.4.0)
svelte: 5.4.0
zod: 3.23.8
transitivePeerDependencies:
- solid-js
- vue
ajv@6.12.6:
dependencies:
@ -8168,8 +7985,6 @@ snapshots:
dependencies:
tslib: 2.8.1
aria-query@5.3.2: {}
array-flatten@1.1.1: {}
as-table@1.0.55:
@ -8200,8 +8015,6 @@ snapshots:
dependencies:
possible-typed-array-names: 1.0.0
axobject-query@4.1.0: {}
bail@2.0.2: {}
balanced-match@1.0.2: {}
@ -8901,8 +8714,6 @@ snapshots:
transitivePeerDependencies:
- supports-color
esm-env@1.2.1: {}
espree@10.3.0:
dependencies:
acorn: 8.14.0
@ -8919,11 +8730,6 @@ snapshots:
dependencies:
estraverse: 5.3.0
esrap@1.2.3:
dependencies:
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'@types/estree': 1.0.6
esrecurse@4.3.0:
dependencies:
estraverse: 5.3.0
@ -9650,8 +9456,6 @@ snapshots:
mlly: 1.7.3
pkg-types: 1.2.1
locate-character@3.0.0: {}
locate-path@6.0.0:
dependencies:
p-locate: 5.0.0
@ -11462,11 +11266,6 @@ snapshots:
dependencies:
minipass: 7.1.2
sswr@2.1.0(svelte@5.4.0):
dependencies:
svelte: 5.4.0
swrev: 4.0.0
stackback@0.0.2: {}
stacktracey@2.1.8:
@ -11557,34 +11356,12 @@ snapshots:
supports-preserve-symlinks-flag@1.0.0: {}
svelte@5.4.0:
dependencies:
'@ampproject/remapping': 2.3.0
'@jridgewell/sourcemap-codec': 1.5.0
'@types/estree': 1.0.6
acorn: 8.14.0
acorn-typescript: 1.4.13(acorn@8.14.0)
aria-query: 5.3.2
axobject-query: 4.1.0
esm-env: 1.2.1
esrap: 1.2.3
is-reference: 3.0.3
locate-character: 3.0.0
magic-string: 0.30.14
zimmerframe: 1.1.2
swr@2.2.5(react@18.3.1):
dependencies:
client-only: 0.0.1
react: 18.3.1
use-sync-external-store: 1.2.2(react@18.3.1)
swrev@4.0.0: {}
swrv@1.0.4(vue@3.5.13(typescript@5.7.2)):
dependencies:
vue: 3.5.13(typescript@5.7.2)
sync-child-process@1.0.2:
dependencies:
sync-message-port: 1.1.3
@ -12062,16 +11839,6 @@ snapshots:
vm-browserify@1.1.2: {}
vue@3.5.13(typescript@5.7.2):
dependencies:
'@vue/compiler-dom': 3.5.13
'@vue/compiler-sfc': 3.5.13
'@vue/runtime-dom': 3.5.13
'@vue/server-renderer': 3.5.13(vue@3.5.13(typescript@5.7.2))
'@vue/shared': 3.5.13
optionalDependencies:
typescript: 5.7.2
w3c-keyname@2.2.8: {}
wcwidth@1.0.1:
@ -12184,8 +11951,6 @@ snapshots:
mustache: 4.2.0
stacktracey: 2.1.8
zimmerframe@1.1.2: {}
zod-to-json-schema@3.23.5(zod@3.23.8):
dependencies:
zod: 3.23.8

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<svg width="24px" height="24px" viewBox="0 0 24 24" version="1.1" xmlns="http://www.w3.org/2000/svg">
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1
uno.config.ts
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@ -241,6 +241,7 @@ export default defineConfig({
collections: {
...customIconCollection,
},
unit: 'em',
}),
],
});

3
vite.config.ts
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@ -19,7 +19,8 @@ export default defineConfig((config) => {
future: {
v3_fetcherPersist: true,
v3_relativeSplatPath: true,
v3_throwAbortReason: true
v3_throwAbortReason: true,
v3_lazyRouteDiscovery: true
},
}),
UnoCSS(),

1
worker-configuration.d.ts vendored
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@ -14,4 +14,5 @@ interface Env {
GOOGLE_GENERATIVE_AI_API_KEY: string;
MISTRAL_API_KEY: string;
XAI_API_KEY: string;
PERPLEXITY_API_KEY: string;
}