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merge with upstream

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Andrew Trokhymenko 2024-12-02 14:55:43 -05:00
commit 235747af51
46 changed files with 30797 additions and 3428 deletions
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6
.env.example
View File

@ -38,12 +38,18 @@ OLLAMA_API_BASE_URL=
# You only need this environment variable set if you want to use OpenAI Like models
OPENAI_LIKE_API_BASE_URL=
# You only need this environment variable set if you want to use Together AI models
TOGETHER_API_BASE_URL=
# You only need this environment variable set if you want to use DeepSeek models through their API
DEEPSEEK_API_KEY=
# Get your OpenAI Like API Key
OPENAI_LIKE_API_KEY=
# Get your Together API Key
TOGETHER_API_KEY=
# Get your Mistral API Key by following these instructions -
# https://console.mistral.ai/api-keys/
# You only need this environment variable set if you want to use Mistral models

33
.github/workflows/docs.yaml vendored Normal file
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@ -0,0 +1,33 @@
name: Docs CI/CD
on:
push:
branches:
- main
permissions:
contents: write
jobs:
build_docs:
runs-on: ubuntu-latest
defaults:
run:
working-directory: ./docs
steps:
- uses: actions/checkout@v4
- name: Configure Git Credentials
run: |
git config user.name github-actions[bot]
git config user.email 41898282+github-actions[bot]@users.noreply.github.com
- uses: actions/setup-python@v5
with:
python-version: 3.x
- run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV
- uses: actions/cache@v4
with:
key: mkdocs-material-${{ env.cache_id }}
path: .cache
restore-keys: |
mkdocs-material-
- run: pip install mkdocs-material
- run: mkdocs gh-deploy --force

25
.github/workflows/stale.yml vendored Normal file
View File

@ -0,0 +1,25 @@
name: Mark Stale Issues and Pull Requests
on:
schedule:
- cron: '0 2 * * *' # Runs daily at 2:00 AM UTC
workflow_dispatch: # Allows manual triggering of the workflow
jobs:
stale:
runs-on: ubuntu-latest
steps:
- name: Mark stale issues and pull requests
uses: actions/stale@v8
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
stale-issue-message: "This issue has been marked as stale due to inactivity. If no further activity occurs, it will be closed in 7 days."
stale-pr-message: "This pull request has been marked as stale due to inactivity. If no further activity occurs, it will be closed in 7 days."
days-before-stale: 10 # Number of days before marking an issue or PR as stale
days-before-close: 4 # Number of days after being marked stale before closing
stale-issue-label: "stale" # Label to apply to stale issues
stale-pr-label: "stale" # Label to apply to stale pull requests
exempt-issue-labels: "pinned,important" # Issues with these labels won't be marked stale
exempt-pr-labels: "pinned,important" # PRs with these labels won't be marked stale
operations-per-run: 75 # Limits the number of actions per run to avoid API rate limits

4
.gitignore vendored
View File

@ -27,9 +27,13 @@ dist-ssr
/build
.env.local
.env
.dev.vars
*.vars
.wrangler
_worker.bundle
Modelfile
modelfiles
# docs ignore
site

8
Dockerfile
View File

@ -25,6 +25,8 @@ ARG ANTHROPIC_API_KEY
ARG OPEN_ROUTER_API_KEY
ARG GOOGLE_GENERATIVE_AI_API_KEY
ARG OLLAMA_API_BASE_URL
ARG TOGETHER_API_KEY
ARG TOGETHER_API_BASE_URL
ARG VITE_LOG_LEVEL=debug
ARG DEFAULT_NUM_CTX
@ -36,6 +38,8 @@ ENV WRANGLER_SEND_METRICS=false \
OPEN_ROUTER_API_KEY=${OPEN_ROUTER_API_KEY} \
GOOGLE_GENERATIVE_AI_API_KEY=${GOOGLE_GENERATIVE_AI_API_KEY} \
OLLAMA_API_BASE_URL=${OLLAMA_API_BASE_URL} \
TOGETHER_API_KEY=${TOGETHER_API_KEY} \
TOGETHER_API_BASE_URL=${TOGETHER_API_BASE_URL} \
VITE_LOG_LEVEL=${VITE_LOG_LEVEL} \
DEFAULT_NUM_CTX=${DEFAULT_NUM_CTX}
@ -58,6 +62,8 @@ ARG ANTHROPIC_API_KEY
ARG OPEN_ROUTER_API_KEY
ARG GOOGLE_GENERATIVE_AI_API_KEY
ARG OLLAMA_API_BASE_URL
ARG TOGETHER_API_KEY
ARG TOGETHER_API_BASE_URL
ARG VITE_LOG_LEVEL=debug
ARG DEFAULT_NUM_CTX
@ -68,6 +74,8 @@ ENV GROQ_API_KEY=${GROQ_API_KEY} \
OPEN_ROUTER_API_KEY=${OPEN_ROUTER_API_KEY} \
GOOGLE_GENERATIVE_AI_API_KEY=${GOOGLE_GENERATIVE_AI_API_KEY} \
OLLAMA_API_BASE_URL=${OLLAMA_API_BASE_URL} \
TOGETHER_API_KEY=${TOGETHER_API_KEY} \
TOGETHER_API_BASE_URL=${TOGETHER_API_BASE_URL} \
VITE_LOG_LEVEL=${VITE_LOG_LEVEL} \
DEFAULT_NUM_CTX=${DEFAULT_NUM_CTX}

54
FAQ.md Normal file
View File

@ -0,0 +1,54 @@
[![Bolt.new: AI-Powered Full-Stack Web Development in the Browser](./public/social_preview_index.jpg)](https://bolt.new)
# Bolt.new Fork by Cole Medin - oTToDev
## FAQ
### How do I get the best results with oTToDev?
- **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.
- **Scaffold the basics first, then add features**: Make sure the basic structure of your application is in place before diving into more advanced functionality. This helps oTToDev understand the foundation of your project and ensure everything is wired up right before building out more advanced functionality.
- **Batch simple instructions**: Save time by combining simple instructions into one message. For example, you can ask oTToDev 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 oTToDev 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?
oTToDev 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 oTToDev/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 oTToDev, 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 oTToDev 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 oTToDev runs my app!
We promise you that we are constantly testing new PRs coming into oTToDev 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.
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!
### Everything works but the results are bad
This goes to the point above about how local LLMs are getting very powerful but you still are going to see better (sometimes much better) results with the largest LLMs like GPT-4o, Claude 3.5 Sonnet, and DeepSeek Coder V2 236b. If you are using smaller LLMs like Qwen-2.5-Coder, consider it more experimental and educational at this point. It can build smaller applications really well, which is super impressive for a local LLM, but for larger scale applications you want to use the larger LLMs still!

110
README.md
View File

@ -4,11 +4,14 @@
This fork of Bolt.new (oTToDev) 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 for oTToDev!
Check the [oTToDev Docs](https://coleam00.github.io/bolt.new-any-llm/) for more information.
## Join the community for oTToDev!
https://thinktank.ottomator.ai
# Requested Additions to this Fork - Feel Free to Contribute!!
## Requested Additions - Feel Free to Contribute!
- ✅ OpenRouter Integration (@coleam00)
- ✅ Gemini Integration (@jonathands)
@ -31,25 +34,25 @@ https://thinktank.ottomator.ai
- ✅ Ability to revert code to earlier version (@wonderwhy-er)
- ✅ Cohere Integration (@hasanraiyan)
- ✅ Dynamic model max token length (@hasanraiyan)
- ✅ Prompt caching (@SujalXplores)
- ✅ Load local projects into the app (@wonderwhy-er)
- ✅ Together Integration (@mouimet-infinisoft)
- ✅ Mobile friendly (@qwikode)
- ✅ Better prompt enhancing (@SujalXplores)
- ⬜ **HIGH PRIORITY** - ALMOST DONE - Attach images to prompts (@atrokhym)
- ⬜ **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** - Load local projects into the app
- ⬜ **HIGH PRIORITY** - Attach images to prompts
- ⬜ **HIGH PRIORITY** - Run agents in the backend as opposed to a single model call
- ⬜ Mobile friendly
- ⬜ Together Integration
- ⬜ Azure Open AI API Integration
- ⬜ Perplexity Integration
- ⬜ Vertex AI Integration
- ⬜ Deploy directly to Vercel/Netlify/other similar platforms
- ⬜ Prompt caching
- ⬜ Better prompt enhancing
- ⬜ Have LLM plan the project in a MD file for better results/transparency
- ⬜ VSCode Integration with git-like confirmations
- ⬜ Upload documents for knowledge - UI design templates, a code base to reference coding style, etc.
- ⬜ Voice prompting
# Bolt.new: AI-Powered Full-Stack Web Development in the Browser
## Bolt.new: AI-Powered Full-Stack Web Development in the Browser
Bolt.new 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)
@ -124,6 +127,13 @@ Optionally, you can set the debug level:
VITE_LOG_LEVEL=debug
```
And if using Ollama set the DEFAULT_NUM_CTX, the example below uses 8K context and ollama running on localhost port 11434:
```
OLLAMA_API_BASE_URL=http://localhost:11434
DEFAULT_NUM_CTX=8192
```
**Important**: Never commit your `.env.local` file to version control. It's already included in .gitignore.
## Run with Docker
@ -191,40 +201,6 @@ sudo npm install -g pnpm
```bash
pnpm run dev
```
## Super Important Note on Running Ollama Models
Ollama models by default only have 2048 tokens for their context window. Even for large models that can easily handle way more.
This is not a large enough window to handle the Bolt.new/oTToDev prompt! You have to create a version of any model you want
to use where you specify a larger context window. Luckily it's super easy to do that.
All you have to do is:
- Create a file called "Modelfile" (no file extension) anywhere on your computer
- Put in the two lines:
```
FROM [Ollama model ID such as qwen2.5-coder:7b]
PARAMETER num_ctx 32768
```
- Run the command:
```
ollama create -f Modelfile [your new model ID, can be whatever you want (example: qwen2.5-coder-extra-ctx:7b)]
```
Now you have a new Ollama model that isn't heavily limited in the context length like Ollama models are by default for some reason.
You'll see this new model in the list of Ollama models along with all the others you pulled!
## Adding New LLMs:
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!
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.
@ -235,6 +211,7 @@ When you add a new model to the MODEL_LIST array, it will immediately be availab
- `pnpm run typecheck`: Runs TypeScript type checking.
- `pnpm run typegen`: Generates TypeScript types using Wrangler.
- `pnpm run deploy`: Builds the project and deploys it to Cloudflare Pages.
- `pnpm run lint:fix`: Runs the linter and automatically fixes issues according to your ESLint configuration.
## Development
@ -246,55 +223,16 @@ 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.
## FAQ
### How do I get the best results with oTToDev?
- **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.
- **Scaffold the basics first, then add features**: Make sure the basic structure of your application is in place before diving into more advanced functionality. This helps oTToDev understand the foundation of your project and ensure everything is wired up right before building out more advanced functionality.
- **Batch simple instructions**: Save time by combining simple instructions into one message. For example, you can ask oTToDev 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.
### How do I contribute to oTToDev?
## How do I contribute to oTToDev?
[Please check out our dedicated page for contributing to oTToDev here!](CONTRIBUTING.md)
### Do you plan on merging oTToDev back into the official Bolt.new repo?
More news coming on this coming early next month - stay tuned!
### What are the future plans for oTToDev?
## What are the future plans for oTToDev?
[Check out our Roadmap here!](https://roadmap.sh/r/ottodev-roadmap-2ovzo)
Lot more updates to this roadmap coming soon!
### Why are there so many open issues/pull requests?
## FAQ
oTToDev 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 oTToDev/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 oTToDev, 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 oTToDev 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 oTToDev runs my app!
We promise you that we are constantly testing new PRs coming into oTToDev 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.
### Everything works but the results are bad
This goes to the point above about how local LLMs are getting very powerful but you still are going to see better (sometimes much better) results with the largest LLMs like GPT-4o, Claude 3.5 Sonnet, and DeepSeek Coder V2 236b. If you are using smaller LLMs like Qwen-2.5-Coder, consider it more experimental and educational at this point. It can build smaller applications really well, which is super impressive for a local LLM, but for larger scale applications you want to use the larger LLMs still!
[Please check out our dedicated page for FAQ's related to oTToDev here!](FAQ.md)

104
app/components/chat/BaseChat.module.scss
View File

@ -17,3 +17,107 @@
.Chat {
opacity: 1;
}
.RayContainer {
--gradient-opacity: 0.85;
--ray-gradient: radial-gradient(rgba(83, 196, 255, var(--gradient-opacity)) 0%, rgba(43, 166, 255, 0) 100%);
transition: opacity 0.25s linear;
position: fixed;
inset: 0;
pointer-events: none;
user-select: none;
}
.LightRayOne {
width: 480px;
height: 680px;
transform: rotate(80deg);
top: -540px;
left: 250px;
filter: blur(110px);
position: absolute;
border-radius: 100%;
background: var(--ray-gradient);
}
.LightRayTwo {
width: 110px;
height: 400px;
transform: rotate(-20deg);
top: -280px;
left: 350px;
mix-blend-mode: overlay;
opacity: 0.6;
filter: blur(60px);
position: absolute;
border-radius: 100%;
background: var(--ray-gradient);
}
.LightRayThree {
width: 400px;
height: 370px;
top: -350px;
left: 200px;
mix-blend-mode: overlay;
opacity: 0.6;
filter: blur(21px);
position: absolute;
border-radius: 100%;
background: var(--ray-gradient);
}
.LightRayFour {
position: absolute;
width: 330px;
height: 370px;
top: -330px;
left: 50px;
mix-blend-mode: overlay;
opacity: 0.5;
filter: blur(21px);
border-radius: 100%;
background: var(--ray-gradient);
}
.LightRayFive {
position: absolute;
width: 110px;
height: 400px;
transform: rotate(-40deg);
top: -280px;
left: -10px;
mix-blend-mode: overlay;
opacity: 0.8;
filter: blur(60px);
border-radius: 100%;
background: var(--ray-gradient);
}
.PromptEffectContainer {
--prompt-container-offset: 50px;
--prompt-line-stroke-width: 1px;
position: absolute;
pointer-events: none;
inset: calc(var(--prompt-container-offset) / -2);
width: calc(100% + var(--prompt-container-offset));
height: calc(100% + var(--prompt-container-offset));
}
.PromptEffectLine {
width: calc(100% - var(--prompt-container-offset) + var(--prompt-line-stroke-width));
height: calc(100% - var(--prompt-container-offset) + var(--prompt-line-stroke-width));
x: calc(var(--prompt-container-offset) / 2 - var(--prompt-line-stroke-width) / 2);
y: calc(var(--prompt-container-offset) / 2 - var(--prompt-line-stroke-width) / 2);
rx: calc(8px - var(--prompt-line-stroke-width));
fill: transparent;
stroke-width: var(--prompt-line-stroke-width);
stroke: url(#line-gradient);
stroke-dasharray: 35px 65px;
stroke-dashoffset: 10;
}
.PromptShine {
fill: url(#shine-gradient);
mix-blend-mode: overlay;
}

100
app/components/chat/BaseChat.tsx
View File

@ -49,7 +49,7 @@ const ModelSelector = ({ model, setModel, provider, setProvider, modelList, prov
key={provider?.name}
value={model}
onChange={(e) => setModel(e.target.value)}
className="flex-1 p-2 rounded-lg border border-bolt-elements-borderColor bg-bolt-elements-prompt-background text-bolt-elements-textPrimary focus:outline-none focus:ring-2 focus:ring-bolt-elements-focus transition-all lg:max-w-[70%] "
className="flex-1 p-2 rounded-lg border border-bolt-elements-borderColor bg-bolt-elements-prompt-background text-bolt-elements-textPrimary focus:outline-none focus:ring-2 focus:ring-bolt-elements-focus transition-all lg:max-w-[70%]"
>
{[...modelList]
.filter((e) => e.provider == provider?.name && e.name)
@ -125,6 +125,7 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
const TEXTAREA_MAX_HEIGHT = chatStarted ? 400 : 200;
const [apiKeys, setApiKeys] = useState<Record<string, string>>({});
const [modelList, setModelList] = useState(MODEL_LIST);
const [isModelSettingsCollapsed, setIsModelSettingsCollapsed] = useState(false);
useEffect(() => {
// Load API keys from cookies on component mount
@ -228,6 +229,13 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
)}
data-chat-visible={showChat}
>
<div className={classNames(styles.RayContainer)}>
<div className={classNames(styles.LightRayOne)}></div>
<div className={classNames(styles.LightRayTwo)}></div>
<div className={classNames(styles.LightRayThree)}></div>
<div className={classNames(styles.LightRayFour)}></div>
<div className={classNames(styles.LightRayFive)}></div>
</div>
<ClientOnly>{() => <Menu />}</ClientOnly>
<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')}>
@ -260,30 +268,74 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
</ClientOnly>
<div
className={classNames(
' bg-bolt-elements-background-depth-2 p-3 rounded-lg border border-bolt-elements-borderColor relative w-full max-w-chat mx-auto z-prompt mb-6',
'bg-bolt-elements-background-depth-2 p-3 rounded-lg border border-bolt-elements-borderColor relative w-full max-w-chat mx-auto z-prompt mb-6',
{
'sticky bottom-2': chatStarted,
},
)}
>
<ModelSelector
key={provider?.name + ':' + modelList.length}
model={model}
setModel={setModel}
modelList={modelList}
provider={provider}
setProvider={setProvider}
providerList={PROVIDER_LIST}
apiKeys={apiKeys}
/>
<svg className={classNames(styles.PromptEffectContainer)}>
<defs>
<linearGradient
id="line-gradient"
x1="20%"
y1="0%"
x2="-14%"
y2="10%"
gradientUnits="userSpaceOnUse"
gradientTransform="rotate(-45)"
>
<stop offset="0%" stopColor="#1488fc" stopOpacity="0%"></stop>
<stop offset="40%" stopColor="#1488fc" stopOpacity="80%"></stop>
<stop offset="50%" stopColor="#1488fc" stopOpacity="80%"></stop>
<stop offset="100%" stopColor="#1488fc" stopOpacity="0%"></stop>
</linearGradient>
<linearGradient id="shine-gradient">
<stop offset="0%" stopColor="white" stopOpacity="0%"></stop>
<stop offset="40%" stopColor="#8adaff" stopOpacity="80%"></stop>
<stop offset="50%" stopColor="#8adaff" stopOpacity="80%"></stop>
<stop offset="100%" stopColor="white" stopOpacity="0%"></stop>
</linearGradient>
</defs>
<rect className={classNames(styles.PromptEffectLine)} pathLength="100" strokeLinecap="round"></rect>
<rect className={classNames(styles.PromptShine)} x="48" y="24" width="70" height="1"></rect>
</svg>
<div>
<div className="flex justify-between items-center mb-2">
<button
onClick={() => setIsModelSettingsCollapsed(!isModelSettingsCollapsed)}
className={classNames('flex items-center gap-2 p-2 rounded-lg transition-all', {
'bg-bolt-elements-item-backgroundAccent text-bolt-elements-item-contentAccent':
isModelSettingsCollapsed,
'bg-bolt-elements-item-backgroundDefault text-bolt-elements-item-contentDefault':
!isModelSettingsCollapsed,
})}
>
<div className={`i-ph:caret-${isModelSettingsCollapsed ? 'right' : 'down'} text-lg`} />
<span>Model Settings</span>
</button>
</div>
{provider && (
<APIKeyManager
provider={provider}
apiKey={apiKeys[provider.name] || ''}
setApiKey={(key) => updateApiKey(provider.name, key)}
/>
)}
<div className={isModelSettingsCollapsed ? 'hidden' : ''}>
<ModelSelector
key={provider?.name + ':' + modelList.length}
model={model}
setModel={setModel}
modelList={modelList}
provider={provider}
setProvider={setProvider}
providerList={PROVIDER_LIST}
apiKeys={apiKeys}
/>
{provider && (
<APIKeyManager
provider={provider}
apiKey={apiKeys[provider.name] || ''}
setApiKey={(key) => updateApiKey(provider.name, key)}
/>
)}
</div>
</div>
<FilePreview
files={uploadedFiles}
imageDataList={imageDataList}
@ -294,12 +346,14 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
/>
<div
className={classNames(
'shadow-lg border border-bolt-elements-borderColor bg-bolt-elements-prompt-background backdrop-filter backdrop-blur-[8px] rounded-lg overflow-hidden transition-all',
'relative shadow-xs border border-bolt-elements-borderColor backdrop-blur rounded-lg',
)}
>
<textarea
ref={textareaRef}
className={`w-full pl-4 pt-4 pr-16 focus:outline-none focus:ring-0 focus:border-none focus:shadow-none resize-none text-md text-bolt-elements-textPrimary placeholder-bolt-elements-textTertiary bg-transparent transition-all`}
className={
'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'
}
onKeyDown={(event) => {
if (event.key === 'Enter') {
if (event.shiftKey) {
@ -375,8 +429,8 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
{input.length > 3 ? (
<div className="text-xs text-bolt-elements-textTertiary">
Use <kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Shift</kbd> +{' '}
<kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Return</kbd> for
a new line
<kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Return</kbd> a
new line
</div>
) : null}
</div>

33
app/components/chat/Chat.client.tsx
View File

@ -6,18 +6,19 @@ import { useStore } from '@nanostores/react';
import type { Message } from 'ai';
import { useChat } from 'ai/react';
import { useAnimate } from 'framer-motion';
import { memo, useEffect, useRef, useState } from 'react';
import { memo, useCallback, useEffect, useRef, useState } from 'react';
import { cssTransition, toast, ToastContainer } from 'react-toastify';
import { useMessageParser, usePromptEnhancer, useShortcuts, useSnapScroll } from '~/lib/hooks';
import { description, useChatHistory } from '~/lib/persistence';
import { chatStore } from '~/lib/stores/chat';
import { workbenchStore } from '~/lib/stores/workbench';
import { DEFAULT_MODEL, DEFAULT_PROVIDER, PROVIDER_LIST } from '~/utils/constants';
import { DEFAULT_MODEL, DEFAULT_PROVIDER, PROMPT_COOKIE_KEY, PROVIDER_LIST } from '~/utils/constants';
import { cubicEasingFn } from '~/utils/easings';
import { createScopedLogger, renderLogger } from '~/utils/logger';
import { BaseChat } from './BaseChat';
import Cookies from 'js-cookie';
import type { ProviderInfo } from '~/utils/types';
import { debounce } from '~/utils/debounce';
const toastAnimation = cssTransition({
enter: 'animated fadeInRight',
@ -121,6 +122,7 @@ export const ChatImpl = memo(
logger.debug('Finished streaming');
},
initialMessages,
initialInput: Cookies.get(PROMPT_COOKIE_KEY) || '',
});
const { enhancingPrompt, promptEnhanced, enhancePrompt, resetEnhancer } = usePromptEnhancer();
@ -248,6 +250,7 @@ export const ChatImpl = memo(
}
setInput('');
Cookies.remove(PROMPT_COOKIE_KEY);
// Add file cleanup here
setUploadedFiles([]);
@ -257,6 +260,27 @@ export const ChatImpl = memo(
textareaRef.current?.blur();
};
/**
* Handles the change event for the textarea and updates the input state.
* @param event - The change event from the textarea.
*/
const onTextareaChange = (event: React.ChangeEvent<HTMLTextAreaElement>) => {
handleInputChange(event);
};
/**
* Debounced function to cache the prompt in cookies.
* Caches the trimmed value of the textarea input after a delay to optimize performance.
*/
const debouncedCachePrompt = useCallback(
debounce((event: React.ChangeEvent<HTMLTextAreaElement>) => {
const trimmedValue = event.target.value.trim();
Cookies.set(PROMPT_COOKIE_KEY, trimmedValue, { expires: 30 });
}, 1000),
[],
);
const [messageRef, scrollRef] = useSnapScroll();
useEffect(() => {
@ -294,7 +318,10 @@ export const ChatImpl = memo(
setProvider={handleProviderChange}
messageRef={messageRef}
scrollRef={scrollRef}
handleInputChange={handleInputChange}
handleInputChange={(e) => {
onTextareaChange(e);
debouncedCachePrompt(e);
}}
handleStop={abort}
description={description}
importChat={importChat}

14
app/components/chat/ExamplePrompts.tsx
View File

@ -5,13 +5,18 @@ const EXAMPLE_PROMPTS = [
{ text: 'Build a simple blog using Astro' },
{ text: 'Create a cookie consent form using Material UI' },
{ text: 'Make a space invaders game' },
{ text: 'How do I center a div?' },
{ text: 'Make a Tic Tac Toe game in html, css and js only' },
];
export function ExamplePrompts(sendMessage?: { (event: React.UIEvent, messageInput?: string): void | undefined }) {
return (
<div id="examples" className="relative w-full max-w-xl mx-auto mt-8 flex justify-center">
<div className="flex flex-col space-y-2 [mask-image:linear-gradient(to_bottom,black_0%,transparent_180%)] hover:[mask-image:none]">
<div id="examples" className="relative flex flex-col gap-9 w-full max-w-3xl mx-auto flex justify-center mt-6">
<div
className="flex flex-wrap justify-center gap-2"
style={{
animation: '.25s ease-out 0s 1 _fade-and-move-in_g2ptj_1 forwards',
}}
>
{EXAMPLE_PROMPTS.map((examplePrompt, index: number) => {
return (
<button
@ -19,10 +24,9 @@ export function ExamplePrompts(sendMessage?: { (event: React.UIEvent, messageInp
onClick={(event) => {
sendMessage?.(event, examplePrompt.text);
}}
className="group flex items-center w-full gap-2 justify-center bg-transparent text-bolt-elements-textTertiary hover:text-bolt-elements-textPrimary transition-theme"
className="border border-bolt-elements-borderColor rounded-full bg-gray-50 hover:bg-gray-100 dark:bg-gray-950 dark:hover:bg-gray-900 text-bolt-elements-textSecondary hover:text-bolt-elements-textPrimary px-3 py-1 text-xs transition-theme"
>
{examplePrompt.text}
<div className="i-ph:arrow-bend-down-left" />
</button>
);
})}

2
app/components/chat/ImportFolderButton.tsx
View File

@ -156,7 +156,7 @@ ${fileArtifacts.join('\n\n')}
}}
className={className}
>
<div className="i-ph:folder-simple-upload" />
<div className="i-ph:upload-simple" />
Import Folder
</button>
</>

48
app/components/chat/Markdown.spec.ts Normal file
View File

@ -0,0 +1,48 @@
import { describe, expect, it } from 'vitest';
import { stripCodeFenceFromArtifact } from './Markdown';
describe('stripCodeFenceFromArtifact', () => {
it('should remove code fences around artifact element', () => {
const input = "```xml\n<div class='__boltArtifact__'></div>\n```";
const expected = "\n<div class='__boltArtifact__'></div>\n";
expect(stripCodeFenceFromArtifact(input)).toBe(expected);
});
it('should handle code fence with language specification', () => {
const input = "```typescript\n<div class='__boltArtifact__'></div>\n```";
const expected = "\n<div class='__boltArtifact__'></div>\n";
expect(stripCodeFenceFromArtifact(input)).toBe(expected);
});
it('should not modify content without artifacts', () => {
const input = '```\nregular code block\n```';
expect(stripCodeFenceFromArtifact(input)).toBe(input);
});
it('should handle empty input', () => {
expect(stripCodeFenceFromArtifact('')).toBe('');
});
it('should handle artifact without code fences', () => {
const input = "<div class='__boltArtifact__'></div>";
expect(stripCodeFenceFromArtifact(input)).toBe(input);
});
it('should handle multiple artifacts but only remove fences around them', () => {
const input = [
'Some text',
'```typescript',
"<div class='__boltArtifact__'></div>",
'```',
'```',
'regular code',
'```',
].join('\n');
const expected = ['Some text', '', "<div class='__boltArtifact__'></div>", '', '```', 'regular code', '```'].join(
'\n',
);
expect(stripCodeFenceFromArtifact(input)).toBe(expected);
});
});

46
app/components/chat/Markdown.tsx
View File

@ -68,7 +68,51 @@ export const Markdown = memo(({ children, html = false, limitedMarkdown = false
remarkPlugins={remarkPlugins(limitedMarkdown)}
rehypePlugins={rehypePlugins(html)}
>
{children}
{stripCodeFenceFromArtifact(children)}
</ReactMarkdown>
);
});
/**
* Removes code fence markers (```) surrounding an artifact element while preserving the artifact content.
* This is necessary because artifacts should not be wrapped in code blocks when rendered for rendering action list.
*
* @param content - The markdown content to process
* @returns The processed content with code fence markers removed around artifacts
*
* @example
* // Removes code fences around artifact
* const input = "```xml\n<div class='__boltArtifact__'></div>\n```";
* stripCodeFenceFromArtifact(input);
* // Returns: "\n<div class='__boltArtifact__'></div>\n"
*
* @remarks
* - Only removes code fences that directly wrap an artifact (marked with __boltArtifact__ class)
* - Handles code fences with optional language specifications (e.g. ```xml, ```typescript)
* - Preserves original content if no artifact is found
* - Safely handles edge cases like empty input or artifacts at start/end of content
*/
export const stripCodeFenceFromArtifact = (content: string) => {
if (!content || !content.includes('__boltArtifact__')) {
return content;
}
const lines = content.split('\n');
const artifactLineIndex = lines.findIndex((line) => line.includes('__boltArtifact__'));
// Return original content if artifact line not found
if (artifactLineIndex === -1) {
return content;
}
// Check previous line for code fence
if (artifactLineIndex > 0 && lines[artifactLineIndex - 1]?.trim().match(/^```\w*$/)) {
lines[artifactLineIndex - 1] = '';
}
if (artifactLineIndex < lines.length - 1 && lines[artifactLineIndex + 1]?.trim().match(/^```$/)) {
lines[artifactLineIndex + 1] = '';
}
return lines.join('\n');
};

29
app/components/sidebar/Menu.client.tsx
View File

@ -8,6 +8,7 @@ import { cubicEasingFn } from '~/utils/easings';
import { logger } from '~/utils/logger';
import { HistoryItem } from './HistoryItem';
import { binDates } from './date-binning';
import { useSearchFilter } from '~/lib/hooks/useSearchFilter';
const menuVariants = {
closed: {
@ -39,6 +40,11 @@ export const Menu = () => {
const [open, setOpen] = useState(false);
const [dialogContent, setDialogContent] = useState<DialogContent>(null);
const { filteredItems: filteredList, handleSearchChange } = useSearchFilter({
items: list,
searchFields: ['description'],
});
const loadEntries = useCallback(() => {
if (db) {
getAll(db)
@ -115,11 +121,11 @@ export const Menu = () => {
initial="closed"
animate={open ? 'open' : 'closed'}
variants={menuVariants}
className="flex flex-col side-menu fixed top-0 w-[350px] h-full bg-bolt-elements-background-depth-2 border-r rounded-r-3xl border-bolt-elements-borderColor z-sidebar shadow-xl shadow-bolt-elements-sidebar-dropdownShadow text-sm"
className="flex selection-accent flex-col side-menu fixed top-0 w-[350px] h-full bg-bolt-elements-background-depth-2 border-r rounded-r-3xl border-bolt-elements-borderColor z-sidebar shadow-xl shadow-bolt-elements-sidebar-dropdownShadow text-sm"
>
<div className="flex items-center h-[var(--header-height)]">{/* Placeholder */}</div>
<div className="flex-1 flex flex-col h-full w-full overflow-hidden">
<div className="p-4">
<div className="p-4 select-none">
<a
href="/"
className="flex gap-2 items-center bg-bolt-elements-sidebar-buttonBackgroundDefault text-bolt-elements-sidebar-buttonText hover:bg-bolt-elements-sidebar-buttonBackgroundHover rounded-md p-2 transition-theme"
@ -128,11 +134,26 @@ export const Menu = () => {
Start new chat
</a>
</div>
<div className="pl-4 pr-4 my-2">
<div className="relative w-full">
<input
className="w-full bg-white dark:bg-bolt-elements-background-depth-4 relative px-2 py-1.5 rounded-md focus:outline-none placeholder-bolt-elements-textTertiary text-bolt-elements-textPrimary dark:text-bolt-elements-textPrimary border border-bolt-elements-borderColor"
type="search"
placeholder="Search"
onChange={handleSearchChange}
aria-label="Search chats"
/>
</div>
</div>
<div className="text-bolt-elements-textPrimary font-medium pl-6 pr-5 my-2">Your Chats</div>
<div className="flex-1 overflow-auto pl-4 pr-5 pb-5">
{list.length === 0 && <div className="pl-2 text-bolt-elements-textTertiary">No previous conversations</div>}
{filteredList.length === 0 && (
<div className="pl-2 text-bolt-elements-textTertiary">
{list.length === 0 ? 'No previous conversations' : 'No matches found'}
</div>
)}
<DialogRoot open={dialogContent !== null}>
{binDates(list).map(({ category, items }) => (
{binDates(filteredList).map(({ category, items }) => (
<div key={category} className="mt-4 first:mt-0 space-y-1">
<div className="text-bolt-elements-textTertiary sticky top-0 z-1 bg-bolt-elements-background-depth-2 pl-2 pt-2 pb-1">
{category}

178
app/components/workbench/EditorPanel.tsx
View File

@ -1,6 +1,6 @@
import { useStore } from '@nanostores/react';
import { memo, useEffect, useMemo, useRef, useState } from 'react';
import { Panel, PanelGroup, PanelResizeHandle, type ImperativePanelHandle } from 'react-resizable-panels';
import { memo, useMemo } from 'react';
import { Panel, PanelGroup, PanelResizeHandle } from 'react-resizable-panels';
import {
CodeMirrorEditor,
type EditorDocument,
@ -9,21 +9,17 @@ import {
type OnSaveCallback as OnEditorSave,
type OnScrollCallback as OnEditorScroll,
} from '~/components/editor/codemirror/CodeMirrorEditor';
import { IconButton } from '~/components/ui/IconButton';
import { PanelHeader } from '~/components/ui/PanelHeader';
import { PanelHeaderButton } from '~/components/ui/PanelHeaderButton';
import { shortcutEventEmitter } from '~/lib/hooks';
import type { FileMap } from '~/lib/stores/files';
import { themeStore } from '~/lib/stores/theme';
import { workbenchStore } from '~/lib/stores/workbench';
import { classNames } from '~/utils/classNames';
import { WORK_DIR } from '~/utils/constants';
import { logger, renderLogger } from '~/utils/logger';
import { renderLogger } from '~/utils/logger';
import { isMobile } from '~/utils/mobile';
import { FileBreadcrumb } from './FileBreadcrumb';
import { FileTree } from './FileTree';
import { Terminal, type TerminalRef } from './terminal/Terminal';
import React from 'react';
import { DEFAULT_TERMINAL_SIZE, TerminalTabs } from './terminal/TerminalTabs';
import { workbenchStore } from '~/lib/stores/workbench';
interface EditorPanelProps {
files?: FileMap;
@ -38,8 +34,6 @@ interface EditorPanelProps {
onFileReset?: () => void;
}
const MAX_TERMINALS = 3;
const DEFAULT_TERMINAL_SIZE = 25;
const DEFAULT_EDITOR_SIZE = 100 - DEFAULT_TERMINAL_SIZE;
const editorSettings: EditorSettings = { tabSize: 2 };
@ -62,13 +56,6 @@ export const EditorPanel = memo(
const theme = useStore(themeStore);
const showTerminal = useStore(workbenchStore.showTerminal);
const terminalRefs = useRef<Array<TerminalRef | null>>([]);
const terminalPanelRef = useRef<ImperativePanelHandle>(null);
const terminalToggledByShortcut = useRef(false);
const [activeTerminal, setActiveTerminal] = useState(0);
const [terminalCount, setTerminalCount] = useState(1);
const activeFileSegments = useMemo(() => {
if (!editorDocument) {
return undefined;
@ -81,48 +68,6 @@ export const EditorPanel = memo(
return editorDocument !== undefined && unsavedFiles?.has(editorDocument.filePath);
}, [editorDocument, unsavedFiles]);
useEffect(() => {
const unsubscribeFromEventEmitter = shortcutEventEmitter.on('toggleTerminal', () => {
terminalToggledByShortcut.current = true;
});
const unsubscribeFromThemeStore = themeStore.subscribe(() => {
for (const ref of Object.values(terminalRefs.current)) {
ref?.reloadStyles();
}
});
return () => {
unsubscribeFromEventEmitter();
unsubscribeFromThemeStore();
};
}, []);
useEffect(() => {
const { current: terminal } = terminalPanelRef;
if (!terminal) {
return;
}
const isCollapsed = terminal.isCollapsed();
if (!showTerminal && !isCollapsed) {
terminal.collapse();
} else if (showTerminal && isCollapsed) {
terminal.resize(DEFAULT_TERMINAL_SIZE);
}
terminalToggledByShortcut.current = false;
}, [showTerminal]);
const addTerminal = () => {
if (terminalCount < MAX_TERMINALS) {
setTerminalCount(terminalCount + 1);
setActiveTerminal(terminalCount);
}
};
return (
<PanelGroup direction="vertical">
<Panel defaultSize={showTerminal ? DEFAULT_EDITOR_SIZE : 100} minSize={20}>
@ -181,118 +126,7 @@ export const EditorPanel = memo(
</PanelGroup>
</Panel>
<PanelResizeHandle />
<Panel
ref={terminalPanelRef}
defaultSize={showTerminal ? DEFAULT_TERMINAL_SIZE : 0}
minSize={10}
collapsible
onExpand={() => {
if (!terminalToggledByShortcut.current) {
workbenchStore.toggleTerminal(true);
}
}}
onCollapse={() => {
if (!terminalToggledByShortcut.current) {
workbenchStore.toggleTerminal(false);
}
}}
>
<div className="h-full">
<div className="bg-bolt-elements-terminals-background h-full flex flex-col">
<div className="flex items-center bg-bolt-elements-background-depth-2 border-y border-bolt-elements-borderColor gap-1.5 min-h-[34px] p-2">
{Array.from({ length: terminalCount + 1 }, (_, index) => {
const isActive = activeTerminal === index;
return (
<React.Fragment key={index}>
{index == 0 ? (
<button
key={index}
className={classNames(
'flex items-center text-sm cursor-pointer gap-1.5 px-3 py-2 h-full whitespace-nowrap rounded-full',
{
'bg-bolt-elements-terminals-buttonBackground text-bolt-elements-textSecondary hover:text-bolt-elements-textPrimary':
isActive,
'bg-bolt-elements-background-depth-2 text-bolt-elements-textSecondary hover:bg-bolt-elements-terminals-buttonBackground':
!isActive,
},
)}
onClick={() => setActiveTerminal(index)}
>
<div className="i-ph:terminal-window-duotone text-lg" />
Bolt Terminal
</button>
) : (
<React.Fragment>
<button
key={index}
className={classNames(
'flex items-center text-sm cursor-pointer gap-1.5 px-3 py-2 h-full whitespace-nowrap rounded-full',
{
'bg-bolt-elements-terminals-buttonBackground text-bolt-elements-textPrimary': isActive,
'bg-bolt-elements-background-depth-2 text-bolt-elements-textSecondary hover:bg-bolt-elements-terminals-buttonBackground':
!isActive,
},
)}
onClick={() => setActiveTerminal(index)}
>
<div className="i-ph:terminal-window-duotone text-lg" />
Terminal {terminalCount > 1 && index}
</button>
</React.Fragment>
)}
</React.Fragment>
);
})}
{terminalCount < MAX_TERMINALS && <IconButton icon="i-ph:plus" size="md" onClick={addTerminal} />}
<IconButton
className="ml-auto"
icon="i-ph:caret-down"
title="Close"
size="md"
onClick={() => workbenchStore.toggleTerminal(false)}
/>
</div>
{Array.from({ length: terminalCount + 1 }, (_, index) => {
const isActive = activeTerminal === index;
if (index == 0) {
logger.info('Starting bolt terminal');
return (
<Terminal
key={index}
className={classNames('h-full overflow-hidden', {
hidden: !isActive,
})}
ref={(ref) => {
terminalRefs.current.push(ref);
}}
onTerminalReady={(terminal) => workbenchStore.attachBoltTerminal(terminal)}
onTerminalResize={(cols, rows) => workbenchStore.onTerminalResize(cols, rows)}
theme={theme}
/>
);
}
return (
<Terminal
key={index}
className={classNames('h-full overflow-hidden', {
hidden: !isActive,
})}
ref={(ref) => {
terminalRefs.current.push(ref);
}}
onTerminalReady={(terminal) => workbenchStore.attachTerminal(terminal)}
onTerminalResize={(cols, rows) => workbenchStore.onTerminalResize(cols, rows)}
theme={theme}
/>
);
})}
</div>
</div>
</Panel>
<TerminalTabs />
</PanelGroup>
);
},

97
app/components/workbench/terminal/Terminal.tsx
View File

@ -16,71 +16,74 @@ export interface TerminalProps {
className?: string;
theme: Theme;
readonly?: boolean;
id: string;
onTerminalReady?: (terminal: XTerm) => void;
onTerminalResize?: (cols: number, rows: number) => void;
}
export const Terminal = memo(
forwardRef<TerminalRef, TerminalProps>(({ className, theme, readonly, onTerminalReady, onTerminalResize }, ref) => {
const terminalElementRef = useRef<HTMLDivElement>(null);
const terminalRef = useRef<XTerm>();
forwardRef<TerminalRef, TerminalProps>(
({ className, theme, readonly, id, onTerminalReady, onTerminalResize }, ref) => {
const terminalElementRef = useRef<HTMLDivElement>(null);
const terminalRef = useRef<XTerm>();
useEffect(() => {
const element = terminalElementRef.current!;
useEffect(() => {
const element = terminalElementRef.current!;
const fitAddon = new FitAddon();
const webLinksAddon = new WebLinksAddon();
const fitAddon = new FitAddon();
const webLinksAddon = new WebLinksAddon();
const terminal = new XTerm({
cursorBlink: true,
convertEol: true,
disableStdin: readonly,
theme: getTerminalTheme(readonly ? { cursor: '#00000000' } : {}),
fontSize: 12,
fontFamily: 'Menlo, courier-new, courier, monospace',
});
const terminal = new XTerm({
cursorBlink: true,
convertEol: true,
disableStdin: readonly,
theme: getTerminalTheme(readonly ? { cursor: '#00000000' } : {}),
fontSize: 12,
fontFamily: 'Menlo, courier-new, courier, monospace',
});
terminalRef.current = terminal;
terminalRef.current = terminal;
terminal.loadAddon(fitAddon);
terminal.loadAddon(webLinksAddon);
terminal.open(element);
terminal.loadAddon(fitAddon);
terminal.loadAddon(webLinksAddon);
terminal.open(element);
const resizeObserver = new ResizeObserver(() => {
fitAddon.fit();
onTerminalResize?.(terminal.cols, terminal.rows);
});
const resizeObserver = new ResizeObserver(() => {
fitAddon.fit();
onTerminalResize?.(terminal.cols, terminal.rows);
});
resizeObserver.observe(element);
resizeObserver.observe(element);
logger.info('Attach terminal');
logger.debug(`Attach [${id}]`);
onTerminalReady?.(terminal);
onTerminalReady?.(terminal);
return () => {
resizeObserver.disconnect();
terminal.dispose();
};
}, []);
return () => {
resizeObserver.disconnect();
terminal.dispose();
};
}, []);
useEffect(() => {
const terminal = terminalRef.current!;
useEffect(() => {
const terminal = terminalRef.current!;
// we render a transparent cursor in case the terminal is readonly
terminal.options.theme = getTerminalTheme(readonly ? { cursor: '#00000000' } : {});
// we render a transparent cursor in case the terminal is readonly
terminal.options.theme = getTerminalTheme(readonly ? { cursor: '#00000000' } : {});
terminal.options.disableStdin = readonly;
}, [theme, readonly]);
terminal.options.disableStdin = readonly;
}, [theme, readonly]);
useImperativeHandle(ref, () => {
return {
reloadStyles: () => {
const terminal = terminalRef.current!;
terminal.options.theme = getTerminalTheme(readonly ? { cursor: '#00000000' } : {});
},
};
}, []);
useImperativeHandle(ref, () => {
return {
reloadStyles: () => {
const terminal = terminalRef.current!;
terminal.options.theme = getTerminalTheme(readonly ? { cursor: '#00000000' } : {});
},
};
}, []);
return <div className={className} ref={terminalElementRef} />;
}),
return <div className={className} ref={terminalElementRef} />;
},
),
);

186
app/components/workbench/terminal/TerminalTabs.tsx Normal file
View File

@ -0,0 +1,186 @@
import { useStore } from '@nanostores/react';
import React, { memo, useEffect, useRef, useState } from 'react';
import { Panel, type ImperativePanelHandle } from 'react-resizable-panels';
import { IconButton } from '~/components/ui/IconButton';
import { shortcutEventEmitter } from '~/lib/hooks';
import { themeStore } from '~/lib/stores/theme';
import { workbenchStore } from '~/lib/stores/workbench';
import { classNames } from '~/utils/classNames';
import { Terminal, type TerminalRef } from './Terminal';
import { createScopedLogger } from '~/utils/logger';
const logger = createScopedLogger('Terminal');
const MAX_TERMINALS = 3;
export const DEFAULT_TERMINAL_SIZE = 25;
export const TerminalTabs = memo(() => {
const showTerminal = useStore(workbenchStore.showTerminal);
const theme = useStore(themeStore);
const terminalRefs = useRef<Array<TerminalRef | null>>([]);
const terminalPanelRef = useRef<ImperativePanelHandle>(null);
const terminalToggledByShortcut = useRef(false);
const [activeTerminal, setActiveTerminal] = useState(0);
const [terminalCount, setTerminalCount] = useState(1);
const addTerminal = () => {
if (terminalCount < MAX_TERMINALS) {
setTerminalCount(terminalCount + 1);
setActiveTerminal(terminalCount);
}
};
useEffect(() => {
const { current: terminal } = terminalPanelRef;
if (!terminal) {
return;
}
const isCollapsed = terminal.isCollapsed();
if (!showTerminal && !isCollapsed) {
terminal.collapse();
} else if (showTerminal && isCollapsed) {
terminal.resize(DEFAULT_TERMINAL_SIZE);
}
terminalToggledByShortcut.current = false;
}, [showTerminal]);
useEffect(() => {
const unsubscribeFromEventEmitter = shortcutEventEmitter.on('toggleTerminal', () => {
terminalToggledByShortcut.current = true;
});
const unsubscribeFromThemeStore = themeStore.subscribe(() => {
for (const ref of Object.values(terminalRefs.current)) {
ref?.reloadStyles();
}
});
return () => {
unsubscribeFromEventEmitter();
unsubscribeFromThemeStore();
};
}, []);
return (
<Panel
ref={terminalPanelRef}
defaultSize={showTerminal ? DEFAULT_TERMINAL_SIZE : 0}
minSize={10}
collapsible
onExpand={() => {
if (!terminalToggledByShortcut.current) {
workbenchStore.toggleTerminal(true);
}
}}
onCollapse={() => {
if (!terminalToggledByShortcut.current) {
workbenchStore.toggleTerminal(false);
}
}}
>
<div className="h-full">
<div className="bg-bolt-elements-terminals-background h-full flex flex-col">
<div className="flex items-center bg-bolt-elements-background-depth-2 border-y border-bolt-elements-borderColor gap-1.5 min-h-[34px] p-2">
{Array.from({ length: terminalCount + 1 }, (_, index) => {
const isActive = activeTerminal === index;
return (
<React.Fragment key={index}>
{index == 0 ? (
<button
key={index}
className={classNames(
'flex items-center text-sm cursor-pointer gap-1.5 px-3 py-2 h-full whitespace-nowrap rounded-full',
{
'bg-bolt-elements-terminals-buttonBackground text-bolt-elements-textSecondary hover:text-bolt-elements-textPrimary':
isActive,
'bg-bolt-elements-background-depth-2 text-bolt-elements-textSecondary hover:bg-bolt-elements-terminals-buttonBackground':
!isActive,
},
)}
onClick={() => setActiveTerminal(index)}
>
<div className="i-ph:terminal-window-duotone text-lg" />
Bolt Terminal
</button>
) : (
<React.Fragment>
<button
key={index}
className={classNames(
'flex items-center text-sm cursor-pointer gap-1.5 px-3 py-2 h-full whitespace-nowrap rounded-full',
{
'bg-bolt-elements-terminals-buttonBackground text-bolt-elements-textPrimary': isActive,
'bg-bolt-elements-background-depth-2 text-bolt-elements-textSecondary hover:bg-bolt-elements-terminals-buttonBackground':
!isActive,
},
)}
onClick={() => setActiveTerminal(index)}
>
<div className="i-ph:terminal-window-duotone text-lg" />
Terminal {terminalCount > 1 && index}
</button>
</React.Fragment>
)}
</React.Fragment>
);
})}
{terminalCount < MAX_TERMINALS && <IconButton icon="i-ph:plus" size="md" onClick={addTerminal} />}
<IconButton
className="ml-auto"
icon="i-ph:caret-down"
title="Close"
size="md"
onClick={() => workbenchStore.toggleTerminal(false)}
/>
</div>
{Array.from({ length: terminalCount + 1 }, (_, index) => {
const isActive = activeTerminal === index;
logger.debug(`Starting bolt terminal [${index}]`);
if (index == 0) {
return (
<Terminal
key={index}
id={`terminal_${index}`}
className={classNames('h-full overflow-hidden', {
hidden: !isActive,
})}
ref={(ref) => {
terminalRefs.current.push(ref);
}}
onTerminalReady={(terminal) => workbenchStore.attachBoltTerminal(terminal)}
onTerminalResize={(cols, rows) => workbenchStore.onTerminalResize(cols, rows)}
theme={theme}
/>
);
} else {
return (
<Terminal
key={index}
id={`terminal_${index}`}
className={classNames('h-full overflow-hidden', {
hidden: !isActive,
})}
ref={(ref) => {
terminalRefs.current.push(ref);
}}
onTerminalReady={(terminal) => workbenchStore.attachTerminal(terminal)}
onTerminalResize={(cols, rows) => workbenchStore.onTerminalResize(cols, rows)}
theme={theme}
/>
);
}
})}
</div>
</div>
</Panel>
);
});

2
app/entry.server.tsx
View File

@ -43,7 +43,7 @@ export default async function handleRequest(
.read()
.then(({ done, value }) => {
if (done) {
controller.enqueue(new Uint8Array(new TextEncoder().encode(`</div></body></html>`)));
controller.enqueue(new Uint8Array(new TextEncoder().encode('</div></body></html>')));
controller.close();
return;

4
app/lib/.server/llm/api-key.ts
View File

@ -35,6 +35,8 @@ export function getAPIKey(cloudflareEnv: Env, provider: string, userApiKeys?: Re
return env.MISTRAL_API_KEY || cloudflareEnv.MISTRAL_API_KEY;
case 'OpenAILike':
return env.OPENAI_LIKE_API_KEY || cloudflareEnv.OPENAI_LIKE_API_KEY;
case 'Together':
return env.TOGETHER_API_KEY || cloudflareEnv.TOGETHER_API_KEY;
case 'xAI':
return env.XAI_API_KEY || cloudflareEnv.XAI_API_KEY;
case 'Cohere':
@ -48,6 +50,8 @@ export function getAPIKey(cloudflareEnv: Env, provider: string, userApiKeys?: Re
export function getBaseURL(cloudflareEnv: Env, provider: string) {
switch (provider) {
case 'Together':
return env.TOGETHER_API_BASE_URL || cloudflareEnv.TOGETHER_API_BASE_URL;
case 'OpenAILike':
return env.OPENAI_LIKE_API_BASE_URL || cloudflareEnv.OPENAI_LIKE_API_BASE_URL;
case 'LMStudio':

2
app/lib/.server/llm/model.ts
View File

@ -151,6 +151,8 @@ export function getModel(provider: string, model: string, env: Env, apiKeys?: Re
return getGoogleModel(apiKey, model);
case 'OpenAILike':
return getOpenAILikeModel(baseURL, apiKey, model);
case 'Together':
return getOpenAILikeModel(baseURL, apiKey, model);
case 'Deepseek':
return getDeepseekModel(apiKey, model);
case 'Mistral':

52
app/lib/hooks/useSearchFilter.ts Normal file
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@ -0,0 +1,52 @@
import { useState, useMemo, useCallback } from 'react';
import { debounce } from '~/utils/debounce';
import type { ChatHistoryItem } from '~/lib/persistence';
interface UseSearchFilterOptions {
items: ChatHistoryItem[];
searchFields?: (keyof ChatHistoryItem)[];
debounceMs?: number;
}
export function useSearchFilter({
items = [],
searchFields = ['description'],
debounceMs = 300,
}: UseSearchFilterOptions) {
const [searchQuery, setSearchQuery] = useState('');
const debouncedSetSearch = useCallback(debounce(setSearchQuery, debounceMs), []);
const handleSearchChange = useCallback(
(event: React.ChangeEvent<HTMLInputElement>) => {
debouncedSetSearch(event.target.value);
},
[debouncedSetSearch],
);
const filteredItems = useMemo(() => {
if (!searchQuery.trim()) {
return items;
}
const query = searchQuery.toLowerCase();
return items.filter((item) =>
searchFields.some((field) => {
const value = item[field];
if (typeof value === 'string') {
return value.toLowerCase().includes(query);
}
return false;
}),
);
}, [items, searchQuery, searchFields]);
return {
searchQuery,
filteredItems,
handleSearchChange,
};
}

5
app/lib/persistence/db.ts
View File

@ -6,6 +6,11 @@ const logger = createScopedLogger('ChatHistory');
// this is used at the top level and never rejects
export async function openDatabase(): Promise<IDBDatabase | undefined> {
if (typeof indexedDB === 'undefined') {
console.error('indexedDB is not available in this environment.');
return undefined;
}
return new Promise((resolve) => {
const request = indexedDB.open('boltHistory', 1);

4
app/lib/persistence/useChatHistory.ts
View File

@ -43,7 +43,7 @@ export function useChatHistory() {
setReady(true);
if (persistenceEnabled) {
toast.error(`Chat persistence is unavailable`);
toast.error('Chat persistence is unavailable');
}
return;
@ -63,7 +63,7 @@ export function useChatHistory() {
description.set(storedMessages.description);
chatId.set(storedMessages.id);
} else {
navigate(`/`, { replace: true });
navigate('/', { replace: true });
}
setReady(true);

6
app/lib/runtime/action-runner.ts
View File

@ -84,18 +84,18 @@ export class ActionRunner {
}
if (action.executed) {
return;
return; // No return value here
}
if (isStreaming && action.type !== 'file') {
return;
return; // No return value here
}
this.#updateAction(actionId, { ...action, ...data.action, executed: !isStreaming });
this.#currentExecutionPromise = this.#currentExecutionPromise
.then(() => {
this.#executeAction(actionId, isStreaming);
return this.#executeAction(actionId, isStreaming);
})
.catch((error) => {
console.error('Action failed:', error);

15
app/lib/stores/workbench.ts
View File

@ -14,6 +14,7 @@ import { saveAs } from 'file-saver';
import { Octokit, type RestEndpointMethodTypes } from '@octokit/rest';
import * as nodePath from 'node:path';
import { extractRelativePath } from '~/utils/diff';
import { description } from '~/lib/persistence';
export interface ArtifactState {
id: string;
@ -328,6 +329,13 @@ export class WorkbenchStore {
const zip = new JSZip();
const files = this.files.get();
// Get the project name from the description input, or use a default name
const projectName = (description.value ?? 'project').toLocaleLowerCase().split(' ').join('_');
// Generate a simple 6-character hash based on the current timestamp
const timestampHash = Date.now().toString(36).slice(-6);
const uniqueProjectName = `${projectName}_${timestampHash}`;
for (const [filePath, dirent] of Object.entries(files)) {
if (dirent?.type === 'file' && !dirent.isBinary) {
const relativePath = extractRelativePath(filePath);
@ -350,8 +358,9 @@ export class WorkbenchStore {
}
}
// Generate the zip file and save it
const content = await zip.generateAsync({ type: 'blob' });
saveAs(content, 'project.zip');
saveAs(content, `${uniqueProjectName}.zip`);
}
async syncFiles(targetHandle: FileSystemDirectoryHandle) {
@ -369,7 +378,9 @@ export class WorkbenchStore {
}
// create or get the file
const fileHandle = await currentHandle.getFileHandle(pathSegments[pathSegments.length - 1], { create: true });
const fileHandle = await currentHandle.getFileHandle(pathSegments[pathSegments.length - 1], {
create: true,
});
// write the file content
const writable = await fileHandle.createWritable();

20
app/routes/api.enhancer.ts
View File

@ -44,9 +44,25 @@ async function enhancerAction({ context, request }: ActionFunctionArgs) {
content:
`[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.
I want you to improve the user prompt that is wrapped in \`<original_prompt>\` tags.
IMPORTANT: Only respond with the improved prompt and nothing else!
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
IMPORTANT: Your response must ONLY contain the enhanced prompt text.
Do not include any explanations, metadata, or wrapper tags.
<original_prompt>
${message}
@ -79,7 +95,7 @@ async function enhancerAction({ context, request }: ActionFunctionArgs) {
},
});
const transformedStream = result.toAIStream().pipeThrough(transformStream);
const transformedStream = result.toDataStream().pipeThrough(transformStream);
return new StreamingTextResponse(transformedStream);
} catch (error: unknown) {

6
app/styles/components/resize-handle.scss
View File

@ -1,3 +1,5 @@
@use '../z-index';
[data-resize-handle] {
position: relative;
@ -8,7 +10,7 @@
bottom: 0;
left: -6px;
right: -5px;
z-index: $zIndexMax;
z-index: z-index.$zIndexMax;
}
&[data-panel-group-direction='vertical']:after {
@ -18,7 +20,7 @@
right: 0;
top: -5px;
bottom: -6px;
z-index: $zIndexMax;
z-index: z-index.$zIndexMax;
}
&[data-resize-handle-state='hover']:after,

16
app/styles/index.scss
View File

@ -1,11 +1,11 @@
@import './variables.scss';
@import './z-index.scss';
@import './animations.scss';
@import './components/terminal.scss';
@import './components/resize-handle.scss';
@import './components/code.scss';
@import './components/editor.scss';
@import './components/toast.scss';
@use 'variables.scss';
@use 'z-index.scss';
@use 'animations.scss';
@use 'components/terminal.scss';
@use 'components/resize-handle.scss';
@use 'components/code.scss';
@use 'components/editor.scss';
@use 'components/toast.scss';
html,
body {

34
app/utils/constants.ts
View File

@ -7,6 +7,7 @@ export const MODIFICATIONS_TAG_NAME = 'bolt_file_modifications';
export const MODEL_REGEX = /^\[Model: (.*?)\]\n\n/;
export const PROVIDER_REGEX = /\[Provider: (.*?)\]\n\n/;
export const DEFAULT_MODEL = 'claude-3-5-sonnet-latest';
export const PROMPT_COOKIE_KEY = 'cachedPrompt';
const PROVIDER_LIST: ProviderInfo[] = [
{
@ -259,6 +260,31 @@ const PROVIDER_LIST: ProviderInfo[] = [
labelForGetApiKey: 'Get LMStudio',
icon: 'i-ph:cloud-arrow-down',
},
{
name: 'Together',
staticModels: [
{
name: 'Qwen/Qwen2.5-Coder-32B-Instruct',
label: 'Qwen/Qwen2.5-Coder-32B-Instruct',
provider: 'Together',
maxTokenAllowed: 8000,
},
{
name: 'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
label: 'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
provider: 'Together',
maxTokenAllowed: 8000,
},
{
name: 'mistralai/Mixtral-8x7B-Instruct-v0.1',
label: 'Mixtral 8x7B Instruct',
provider: 'Together',
maxTokenAllowed: 8192,
},
],
getApiKeyLink: 'https://api.together.xyz/settings/api-keys',
},
];
export const DEFAULT_PROVIDER = PROVIDER_LIST[0];
@ -283,9 +309,11 @@ const getOllamaBaseUrl = () => {
};
async function getOllamaModels(): Promise<ModelInfo[]> {
if (typeof window === 'undefined') {
return [];
}
/*
* if (typeof window === 'undefined') {
* return [];
* }
*/
try {
const baseUrl = getOllamaBaseUrl();

22
docker-compose.yaml
View File

@ -1,5 +1,5 @@
services:
bolt-ai:
app-prod:
image: bolt-ai:production
build:
context: .
@ -11,7 +11,7 @@ services:
environment:
- NODE_ENV=production
- COMPOSE_PROFILES=production
# No strictly neded but serving as hints for Coolify
# No strictly needed but serving as hints for Coolify
- PORT=5173
- GROQ_API_KEY=${GROQ_API_KEY}
- HuggingFace_API_KEY=${HuggingFace_API_KEY}
@ -20,16 +20,18 @@ services:
- OPEN_ROUTER_API_KEY=${OPEN_ROUTER_API_KEY}
- GOOGLE_GENERATIVE_AI_API_KEY=${GOOGLE_GENERATIVE_AI_API_KEY}
- OLLAMA_API_BASE_URL=${OLLAMA_API_BASE_URL}
- TOGETHER_API_KEY=${TOGETHER_API_KEY}
- TOGETHER_API_BASE_URL=${TOGETHER_API_BASE_URL}
- VITE_LOG_LEVEL=${VITE_LOG_LEVEL:-debug}
- DEFAULT_NUM_CTX=${DEFAULT_NUM_CTX:-32768}
- RUNNING_IN_DOCKER=true
extra_hosts:
- "host.docker.internal:host-gateway"
- "host.docker.internal:host-gateway"
command: pnpm run dockerstart
profiles:
- production # This service only runs in the production profile
- production
bolt-ai-dev:
app-dev:
image: bolt-ai:development
build:
target: bolt-ai-development
@ -39,7 +41,7 @@ services:
- VITE_HMR_HOST=localhost
- VITE_HMR_PORT=5173
- CHOKIDAR_USEPOLLING=true
- WATCHPACK_POLLING=true
- WATCHPACK_POLLING=true
- PORT=5173
- GROQ_API_KEY=${GROQ_API_KEY}
- HuggingFace_API_KEY=${HuggingFace_API_KEY}
@ -48,11 +50,13 @@ services:
- OPEN_ROUTER_API_KEY=${OPEN_ROUTER_API_KEY}
- GOOGLE_GENERATIVE_AI_API_KEY=${GOOGLE_GENERATIVE_AI_API_KEY}
- OLLAMA_API_BASE_URL=${OLLAMA_API_BASE_URL}
- TOGETHER_API_KEY=${TOGETHER_API_KEY}
- TOGETHER_API_BASE_URL=${TOGETHER_API_BASE_URL}
- VITE_LOG_LEVEL=${VITE_LOG_LEVEL:-debug}
- DEFAULT_NUM_CTX=${DEFAULT_NUM_CTX:-32768}
- RUNNING_IN_DOCKER=true
extra_hosts:
- "host.docker.internal:host-gateway"
- "host.docker.internal:host-gateway"
volumes:
- type: bind
source: .
@ -60,6 +64,6 @@ services:
consistency: cached
- /app/node_modules
ports:
- "5173:5173" # Same port, no conflict as only one runs at a time
- "5173:5173"
command: pnpm run dev --host 0.0.0.0
profiles: ["development", "default"] # Make development the default profile
profiles: ["development", "default"]

2
docs/.gitignore vendored Normal file
View File

@ -0,0 +1,2 @@
.venv
site/

0
docs/README.md Normal file
View File

218
docs/docs/CONTRIBUTING.md Normal file
View File

@ -0,0 +1,218 @@
# 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.new! This fork aims to expand the capabilities of the original project by integrating multiple LLM providers and enhancing functionality. Every contribution helps make Bolt.new a better tool for developers worldwide.
## 📋 Table of Contents
- [Code of Conduct](#code-of-conduct)
- [How Can I Contribute?](#how-can-i-contribute)
- [Pull Request Guidelines](#pull-request-guidelines)
- [Coding Standards](#coding-standards)
- [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
- Check the issue tracker to avoid duplicates
- Use the issue templates when available
- Include as much relevant information as possible
- For bugs, add steps to reproduce the issue
### 🔧 Code Contributions
1. Fork the repository
2. Create a new branch for your feature/fix
3. Write your code
4. Submit a pull request
### ✨ 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
- [ ] Branch from the main branch
- [ ] Update documentation if needed
- [ ] Manually verify all new functionality works as expected
- [ ] Keep PRs focused and atomic
### 👀 Review Process
1. Manually test the changes
2. At least one maintainer review required
3. Address all review comments
4. Maintain clean commit history
## Coding Standards
### 💻 General Guidelines
- Follow existing code style
- Comment complex logic
- Keep functions focused and small
- Use meaningful variable names
## Development Setup
### 🔄 Initial Setup
1. Clone the repository:
```bash
git clone https://github.com/coleam00/bolt.new-any-llm.git
```
2. Install dependencies:
```bash
pnpm install
```
3. Set up environment variables:
- Rename `.env.example` to `.env.local`
- Add your LLM API keys (only set the ones you plan to use):
```bash
GROQ_API_KEY=XXX
HuggingFace_API_KEY=XXX
OPENAI_API_KEY=XXX
ANTHROPIC_API_KEY=XXX
...
```
- Optionally set debug level:
```bash
VITE_LOG_LEVEL=debug
```
- Optionally set context size:
```bash
DEFAULT_NUM_CTX=32768
```
Some Example Context Values for the qwen2.5-coder:32b models are.
* DEFAULT_NUM_CTX=32768 - Consumes 36GB of VRAM
* DEFAULT_NUM_CTX=24576 - Consumes 32GB of VRAM
* DEFAULT_NUM_CTX=12288 - Consumes 26GB of VRAM
* DEFAULT_NUM_CTX=6144 - Consumes 24GB of VRAM
**Important**: Never commit your `.env.local` file to version control. It's already included in .gitignore.
### 🚀 Running the Development Server
```bash
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:
```bash
pnpm test
```
## Deployment
To deploy the application to Cloudflare Pages:
```bash
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.
## Build Methods
### 1. Using Helper Scripts
NPM scripts are provided for convenient building:
```bash
# Development build
npm run dockerbuild
# Production build
npm run dockerbuild:prod
```
### 2. Direct Docker Build Commands
You can use Docker's target feature to specify the build environment:
```bash
# Development build
docker build . --target bolt-ai-development
# Production build
docker build . --target bolt-ai-production
```
### 3. Docker Compose with Profiles
Use Docker Compose profiles to manage different environments:
```bash
# Development environment
docker-compose --profile development up
# Production environment
docker-compose --profile production up
```
## Running the Application
After building using any of the methods above, run the container with:
```bash
# Development
docker run -p 5173:5173 --env-file .env.local bolt-ai:development
# Production
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:
1. Import your Git repository as a new project
2. Select your target environment (development/production)
3. Choose "Docker Compose" as the Build Pack
4. Configure deployment domains
5. Set the custom start command:
```bash
docker compose --profile production up
```
6. Configure environment variables
- Add necessary AI API keys
- 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:
1. Open the command palette in VS Code
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:
- API keys
- Environment-specific configurations
- Other required environment variables
## Notes
- Port 5173 is exposed and mapped for both development and production environments
- Environment variables are loaded from `.env.local`
- Different profiles (development/production) can be used for different deployment scenarios
- The configuration supports both local development and production deployment

52
docs/docs/FAQ.md Normal file
View File

@ -0,0 +1,52 @@
# FAQ
### How do I get the best results with oTToDev?
- **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.
- **Scaffold the basics first, then add features**: Make sure the basic structure of your application is in place before diving into more advanced functionality. This helps oTToDev understand the foundation of your project and ensure everything is wired up right before building out more advanced functionality.
- **Batch simple instructions**: Save time by combining simple instructions into one message. For example, you can ask oTToDev 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.
### How do I contribute to oTToDev?
[Please check out our dedicated page for contributing to oTToDev here!](CONTRIBUTING.md)
### Do you plan on merging oTToDev back into the official Bolt.new repo?
More news coming on this coming early next month - stay tuned!
### What are the future plans for oTToDev?
[Check out our Roadmap here!](https://roadmap.sh/r/ottodev-roadmap-2ovzo)
Lot more updates to this roadmap coming soon!
### Why are there so many open issues/pull requests?
oTToDev 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 oTToDev/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 oTToDev, 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 oTToDev 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 oTToDev runs my app!
We promise you that we are constantly testing new PRs coming into oTToDev 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.
### Everything works but the results are bad
This goes to the point above about how local LLMs are getting very powerful but you still are going to see better (sometimes much better) results with the largest LLMs like GPT-4o, Claude 3.5 Sonnet, and DeepSeek Coder V2 236b. If you are using smaller LLMs like Qwen-2.5-Coder, consider it more experimental and educational at this point. It can build smaller applications really well, which is super impressive for a local LLM, but for larger scale applications you want to use the larger LLMs still!

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# Welcome to OTTO Dev
This fork of Bolt.new (oTToDev) 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 for oTToDev!
https://thinktank.ottomator.ai
## Whats Bolt.new
Bolt.new 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.new Different
Claude, v0, etc are incredible- but you can't install packages, run backends, or edit code. That’s where Bolt.new stands out:
- **Full-Stack in the Browser**: Bolt.new 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.new 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.new 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
2. Install Node.js from https://nodejs.org/en/download/
Pay attention to the installer notes after completion.
On all operating systems, the path to Node.js should automatically be added to your system path. But you can check your path if you want to be sure. On Windows, you can search for "edit the system environment variables" in your system, select "Environment Variables..." once you are in the system properties, and then check for a path to Node in your "Path" system variable. On a Mac or Linux machine, it will tell you to check if /usr/local/bin is in your $PATH. To determine if usr/local/bin is included in $PATH open your Terminal and run:
```
echo $PATH .
```
If you see usr/local/bin in the output then you're good to go.
3. Clone the repository (if you haven't already) by opening a Terminal window (or CMD with admin permissions) and then typing in this:
```
git clone https://github.com/coleam00/bolt.new-any-llm.git
```
3. Rename .env.example to .env.local and add your LLM API keys. You will find this file on a Mac at "[your name]/bold.new-any-llm/.env.example". For Windows and Linux the path will be similar.
![image](https://github.com/user-attachments/assets/7e6a532c-2268-401f-8310-e8d20c731328)
If you can't see the file indicated above, its likely you can't view hidden files. On Mac, open a Terminal window and enter this command below. On Windows, you will see the hidden files option in File Explorer Settings. A quick Google search will help you if you are stuck here.
```
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 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
```
GROQ_API_KEY=XXX
OPENAI_API_KEY=XXX
ANTHROPIC_API_KEY=XXX
```
Optionally, you can set the debug level:
```
VITE_LOG_LEVEL=debug
```
**Important**: Never commit your `.env.local` file to version control. It's already included in .gitignore.
## Run with Docker
Prerequisites:
Git and Node.js as mentioned above, as well as Docker: https://www.docker.com/
### 1a. Using Helper Scripts
NPM scripts are provided for convenient building:
```bash
# Development build
npm run dockerbuild
# Production build
npm run dockerbuild:prod
```
### 1b. Direct Docker Build Commands (alternative to using NPM scripts)
You can use Docker's target feature to specify the build environment instead of using NPM scripts if you wish:
```bash
# Development build
docker build . --target bolt-ai-development
# Production build
docker build . --target bolt-ai-production
```
### 2. Docker Compose with Profiles to Run the Container
Use Docker Compose profiles to manage different environments:
```bash
# Development environment
docker-compose --profile development up
# Production environment
docker-compose --profile production up
```
When you run the Docker Compose command with the development profile, any changes you
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):
```
pnpm install
```
If you get an error saying "command not found: pnpm" or similar, then that means pnpm isn't installed. You can install it via this:
```
sudo npm install -g pnpm
```
2. Start the application with the command:
```bash
pnpm run dev
```
## Super Important Note on Running Ollama Models
Ollama models by default only have 2048 tokens for their context window. Even for large models that can easily handle way more.
This is not a large enough window to handle the Bolt.new/oTToDev prompt! You have to create a version of any model you want
to use where you specify a larger context window. Luckily it's super easy to do that.
All you have to do is:
- Create a file called "Modelfile" (no file extension) anywhere on your computer
- Put in the two lines:
```
FROM [Ollama model ID such as qwen2.5-coder:7b]
PARAMETER num_ctx 32768
```
- Run the command:
```
ollama create -f Modelfile [your new model ID, can be whatever you want (example: qwen2.5-coder-extra-ctx:7b)]
```
Now you have a new Ollama model that isn't heavily limited in the context length like Ollama models are by default for some reason.
You'll see this new model in the list of Ollama models along with all the others you pulled!
## Adding New LLMs:
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!
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.
- `pnpm run build`: Builds the project.
- `pnpm run start`: Runs the built application locally using Wrangler Pages. This script uses `bindings.sh` to set up necessary bindings so you don't have to duplicate environment variables.
- `pnpm run preview`: Builds the project and then starts it locally, useful for testing the production build. Note, HTTP streaming currently doesn't work as expected with `wrangler pages dev`.
- `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`: Builds the project and deploys it to Cloudflare Pages.
## Development
To start the development server:
```bash
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.new:
- **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.
- **Scaffold the basics first, then add features**: Make sure the basic structure of your application is in place before diving into more advanced functionality. This helps Bolt understand the foundation of your project and ensure everything is wired up right before building out more advanced functionality.
- **Batch simple instructions**: Save time by combining simple instructions into one message. For example, you can ask Bolt 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.

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{file = "watchdog-6.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:2cce7cfc2008eb51feb6aab51251fd79b85d9894e98ba847408f662b3395ca3c"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:20ffe5b202af80ab4266dcd3e91aae72bf2da48c0d33bdb15c66658e685e94e2"},
{file = "watchdog-6.0.0-py3-none-win32.whl", hash = "sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a"},
{file = "watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680"},
{file = "watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f"},
{file = "watchdog-6.0.0.tar.gz", hash = "sha256:9ddf7c82fda3ae8e24decda1338ede66e1c99883db93711d8fb941eaa2d8c282"},
]
[package.extras]
watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "dee3864dbc26fd653b2a74c70243efffcbb63a0a0f23abe8311aad8fd5bf2eb0"

15
docs/pyproject.toml Normal file
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@ -0,0 +1,15 @@
[tool.poetry]
name = "docs"
version = "0.1.0"
description = ""
authors = ["Anirban Kar <thecodacus@gmail.com>"]
readme = "README.md"
[tool.poetry.dependencies]
python = "^3.10"
mkdocs-material = "^9.5.45"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

19
eslint.config.mjs
View File

@ -4,7 +4,13 @@ import { getNamingConventionRule, tsFileExtensions } from '@blitz/eslint-plugin/
export default [
{
ignores: ['**/dist', '**/node_modules', '**/.wrangler', '**/bolt/build', '**/.history'],
ignores: [
'**/dist',
'**/node_modules',
'**/.wrangler',
'**/bolt/build',
'**/.history',
],
},
...blitzPlugin.configs.recommended(),
{
@ -14,6 +20,15 @@ export default [
'@typescript-eslint/no-empty-object-type': 'off',
'@blitz/comment-syntax': 'off',
'@blitz/block-scope-case': 'off',
'array-bracket-spacing': ["error", "never"],
'object-curly-newline': ["error", { "consistent": true }],
'keyword-spacing': ["error", { "before": true, "after": true }],
'consistent-return': "error",
'semi': ["error", "always"],
'curly': ["error"],
'no-eval': ["error"],
'linebreak-style': ["error", "unix"],
'arrow-spacing': ["error", { "before": true, "after": true }]
},
},
{
@ -38,7 +53,7 @@ export default [
patterns: [
{
group: ['../'],
message: `Relative imports are not allowed. Please use '~/' instead.`,
message: 'Relative imports are not allowed. Please use \'~/\' instead.',
},
],
},

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93
package.json
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@ -1,6 +1,6 @@
{
"name": "bolt",
"description": "StackBlitz AI Agent",
"description": "An AI Agent",
"private": true,
"license": "MIT",
"sideEffects": false,
@ -13,7 +13,9 @@
"test:watch": "vitest",
"lint": "eslint --cache --cache-location ./node_modules/.cache/eslint app",
"lint:fix": "npm run lint -- --fix && prettier app --write",
"start": "bindings=$(./bindings.sh) && wrangler pages dev ./build/client $bindings",
"start:windows": "wrangler pages dev ./build/client",
"start:unix": "bindings=$(./bindings.sh) && wrangler pages dev ./build/client $bindings",
"start": "node -e \"const { spawn } = require('child_process'); const isWindows = process.platform === 'win32'; const cmd = isWindows ? 'npm run start:windows' : 'npm run start:unix'; const child = spawn(cmd, { shell: true, stdio: 'inherit' }); child.on('exit', code => process.exit(code));\"",
"dockerstart": "bindings=$(./bindings.sh) && wrangler pages dev ./build/client $bindings --ip 0.0.0.0 --port 5173 --no-show-interactive-dev-session",
"dockerrun": "docker run -it -d --name bolt-ai-live -p 5173:5173 --env-file .env.local bolt-ai",
"dockerbuild:prod": "docker build -t bolt-ai:production -t bolt-ai:latest --target bolt-ai-production .",
@ -28,95 +30,96 @@
},
"dependencies": {
"@ai-sdk/anthropic": "^0.0.39",
"@ai-sdk/cohere": "^1.0.1",
"@ai-sdk/cohere": "^1.0.3",
"@ai-sdk/google": "^0.0.52",
"@ai-sdk/mistral": "^0.0.43",
"@ai-sdk/openai": "^0.0.66",
"@codemirror/autocomplete": "^6.17.0",
"@codemirror/commands": "^6.6.0",
"@codemirror/autocomplete": "^6.18.3",
"@codemirror/commands": "^6.7.1",
"@codemirror/lang-cpp": "^6.0.2",
"@codemirror/lang-css": "^6.2.1",
"@codemirror/lang-css": "^6.3.1",
"@codemirror/lang-html": "^6.4.9",
"@codemirror/lang-javascript": "^6.2.2",
"@codemirror/lang-json": "^6.0.1",
"@codemirror/lang-markdown": "^6.2.5",
"@codemirror/lang-markdown": "^6.3.1",
"@codemirror/lang-python": "^6.1.6",
"@codemirror/lang-sass": "^6.0.2",
"@codemirror/lang-wast": "^6.0.2",
"@codemirror/language": "^6.10.2",
"@codemirror/search": "^6.5.6",
"@codemirror/language": "^6.10.6",
"@codemirror/search": "^6.5.8",
"@codemirror/state": "^6.4.1",
"@codemirror/view": "^6.28.4",
"@iconify-json/ph": "^1.1.13",
"@iconify-json/svg-spinners": "^1.1.2",
"@lezer/highlight": "^1.2.0",
"@nanostores/react": "^0.7.2",
"@codemirror/view": "^6.35.0",
"@iconify-json/ph": "^1.2.1",
"@iconify-json/svg-spinners": "^1.2.1",
"@lezer/highlight": "^1.2.1",
"@nanostores/react": "^0.7.3",
"@octokit/rest": "^21.0.2",
"@octokit/types": "^13.6.1",
"@octokit/types": "^13.6.2",
"@openrouter/ai-sdk-provider": "^0.0.5",
"@radix-ui/react-dialog": "^1.1.1",
"@radix-ui/react-dropdown-menu": "^2.1.1",
"@radix-ui/react-dialog": "^1.1.2",
"@radix-ui/react-dropdown-menu": "^2.1.2",
"@radix-ui/react-tooltip": "^1.1.4",
"@remix-run/cloudflare": "^2.10.2",
"@remix-run/cloudflare-pages": "^2.10.2",
"@remix-run/react": "^2.10.2",
"@uiw/codemirror-theme-vscode": "^4.23.0",
"@unocss/reset": "^0.61.0",
"@remix-run/cloudflare": "^2.15.0",
"@remix-run/cloudflare-pages": "^2.15.0",
"@remix-run/react": "^2.15.0",
"@uiw/codemirror-theme-vscode": "^4.23.6",
"@unocss/reset": "^0.61.9",
"@webcontainer/api": "1.3.0-internal.10",
"@xterm/addon-fit": "^0.10.0",
"@xterm/addon-web-links": "^0.11.0",
"@xterm/xterm": "^5.5.0",
"ai": "^3.4.9",
"ai": "^3.4.33",
"date-fns": "^3.6.0",
"diff": "^5.2.0",
"file-saver": "^2.0.5",
"framer-motion": "^11.2.12",
"framer-motion": "^11.12.0",
"ignore": "^6.0.2",
"isbot": "^4.1.0",
"isbot": "^4.4.0",
"istextorbinary": "^9.5.0",
"jose": "^5.6.3",
"jose": "^5.9.6",
"js-cookie": "^3.0.5",
"jszip": "^3.10.1",
"nanostores": "^0.10.3",
"ollama-ai-provider": "^0.15.2",
"react": "^18.2.0",
"react-dom": "^18.2.0",
"react-hotkeys-hook": "^4.5.0",
"pnpm": "^9.14.4",
"react": "^18.3.1",
"react-dom": "^18.3.1",
"react-hotkeys-hook": "^4.6.1",
"react-markdown": "^9.0.1",
"react-resizable-panels": "^2.0.20",
"react-toastify": "^10.0.5",
"react-resizable-panels": "^2.1.7",
"react-toastify": "^10.0.6",
"rehype-raw": "^7.0.0",
"rehype-sanitize": "^6.0.0",
"remark-gfm": "^4.0.0",
"remix-island": "^0.2.0",
"remix-utils": "^7.6.0",
"shiki": "^1.9.1",
"remix-utils": "^7.7.0",
"shiki": "^1.24.0",
"unist-util-visit": "^5.0.0"
},
"devDependencies": {
"@blitz/eslint-plugin": "0.1.0",
"@cloudflare/workers-types": "^4.20240620.0",
"@remix-run/dev": "^2.10.0",
"@types/diff": "^5.2.1",
"@cloudflare/workers-types": "^4.20241127.0",
"@remix-run/dev": "^2.15.0",
"@types/diff": "^5.2.3",
"@types/file-saver": "^2.0.7",
"@types/js-cookie": "^3.0.6",
"@types/react": "^18.2.20",
"@types/react-dom": "^18.2.7",
"@types/react": "^18.3.12",
"@types/react-dom": "^18.3.1",
"fast-glob": "^3.3.2",
"husky": "9.1.7",
"is-ci": "^3.0.1",
"node-fetch": "^3.3.2",
"prettier": "^3.3.2",
"sass-embedded": "^1.80.3",
"typescript": "^5.5.2",
"prettier": "^3.4.1",
"sass-embedded": "^1.81.0",
"typescript": "^5.7.2",
"unified": "^11.0.5",
"unocss": "^0.61.3",
"vite": "^5.3.1",
"unocss": "^0.61.9",
"vite": "^5.4.11",
"vite-plugin-node-polyfills": "^0.22.0",
"vite-plugin-optimize-css-modules": "^1.1.0",
"vite-tsconfig-paths": "^4.3.2",
"vitest": "^2.0.1",
"wrangler": "^3.63.2",
"vitest": "^2.1.7",
"wrangler": "^3.91.0",
"zod": "^3.23.8"
},
"resolutions": {

5936
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2
vite.config.ts
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@ -19,7 +19,7 @@ export default defineConfig((config) => {
future: {
v3_fetcherPersist: true,
v3_relativeSplatPath: true,
v3_throwAbortReason: true,
v3_throwAbortReason: true
},
}),
UnoCSS(),

2
worker-configuration.d.ts vendored
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@ -7,6 +7,8 @@ interface Env {
OLLAMA_API_BASE_URL: string;
OPENAI_LIKE_API_KEY: string;
OPENAI_LIKE_API_BASE_URL: string;
TOGETHER_API_KEY: string;
TOGETHER_API_BASE_URL: string;
DEEPSEEK_API_KEY: string;
LMSTUDIO_API_BASE_URL: string;
GOOGLE_GENERATIVE_AI_API_KEY: string;