Merge branch 'master' of github.com:Mintplex-Labs/anything-llm into render

This commit is contained in:
timothycarambat 2024-07-23 08:34:53 -07:00
commit 08825ba30e
49 changed files with 2398 additions and 107 deletions

77
.github/workflows/dev-build.yaml vendored Normal file
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@ -0,0 +1,77 @@
name: Publish AnythingLLM Development Docker image (amd64)
concurrency:
group: build-${{ github.ref }}
cancel-in-progress: true
on:
push:
branches: ['1915-docker-perms'] # master branch only. Do not modify.
paths-ignore:
- '**.md'
- 'cloud-deployments/*'
- 'images/**/*'
- '.vscode/**/*'
- '**/.env.example'
- '.github/ISSUE_TEMPLATE/**/*'
- 'embed/**/*' # Embed should be published to frontend (yarn build:publish) if any changes are introduced
- 'server/utils/agents/aibitat/example/**/*' # Do not push new image for local dev testing of new aibitat images.
- 'docker/vex/*' # CVE exceptions we know are not in risk
jobs:
push_multi_platform_to_registries:
name: Push Docker multi-platform image to multiple registries
runs-on: ubuntu-latest
permissions:
packages: write
contents: read
steps:
- name: Check out the repo
uses: actions/checkout@v4
- name: Check if DockerHub build needed
shell: bash
run: |
# Check if the secret for USERNAME is set (don't even check for the password)
if [[ -z "${{ secrets.DOCKER_USERNAME }}" ]]; then
echo "DockerHub build not needed"
echo "enabled=false" >> $GITHUB_OUTPUT
else
echo "DockerHub build needed"
echo "enabled=true" >> $GITHUB_OUTPUT
fi
id: dockerhub
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to Docker Hub
uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a
# Only login to the Docker Hub if the repo is mintplex/anythingllm, to allow for forks to build on GHCR
if: steps.dockerhub.outputs.enabled == 'true'
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7
with:
images: |
${{ steps.dockerhub.outputs.enabled == 'true' && 'mintplexlabs/anythingllm' || '' }}
tags: |
type=raw,value=dev
- name: Build and push multi-platform Docker image
uses: docker/build-push-action@v6
with:
context: .
file: ./docker/Dockerfile
push: true
sbom: true
provenance: mode=max
platforms: linux/amd64
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max

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@ -11,6 +11,7 @@
"comkey",
"cooldown",
"cooldowns",
"datafile",
"Deduplicator",
"Dockerized",
"docpath",

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@ -1,7 +1,7 @@
<a name="readme-top"></a>
<p align="center">
<a href="https://useanything.com"><img src="https://github.com/Mintplex-Labs/anything-llm/blob/master/images/wordmark.png?raw=true" alt="AnythingLLM logo"></a>
<a href="https://anythingllm.com"><img src="https://github.com/Mintplex-Labs/anything-llm/blob/master/images/wordmark.png?raw=true" alt="AnythingLLM logo"></a>
</p>
<div align='center'>
@ -20,7 +20,7 @@
<a href="https://github.com/Mintplex-Labs/anything-llm/blob/master/LICENSE" target="_blank">
<img src="https://img.shields.io/static/v1?label=license&message=MIT&color=white" alt="License">
</a> |
<a href="https://docs.useanything.com" target="_blank">
<a href="https://docs.anythingllm.com" target="_blank">
Docs
</a> |
<a href="https://my.mintplexlabs.com/aio-checkout?product=anythingllm" target="_blank">
@ -33,7 +33,7 @@
</p>
<p align="center">
👉 AnythingLLM for desktop (Mac, Windows, & Linux)! <a href="https://useanything.com/download" target="_blank"> Download Now</a>
👉 AnythingLLM for desktop (Mac, Windows, & Linux)! <a href="https://anythingllm.com/download" target="_blank"> Download Now</a>
</p>
A full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.

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@ -60,7 +60,7 @@ ENV PUPPETEER_SKIP_CHROMIUM_DOWNLOAD=true
ENV CHROME_PATH=/app/chrome-linux/chrome
ENV PUPPETEER_EXECUTABLE_PATH=/app/chrome-linux/chrome
RUN echo "Done running arm64 specific installtion steps"
RUN echo "Done running arm64 specific installation steps"
#############################################
@ -129,12 +129,19 @@ RUN yarn build && \
WORKDIR /app
# Install server layer & build node-llama-cpp
FROM build AS server-build
# Also pull and build collector deps (chromium issues prevent bad bindings)
FROM build AS backend-build
COPY ./server /app/server/
WORKDIR /app/server
RUN yarn install --production --network-timeout 100000 && yarn cache clean
WORKDIR /app
# Install collector dependencies
COPY ./collector/ ./collector/
WORKDIR /app/collector
ENV PUPPETEER_DOWNLOAD_BASE_URL=https://storage.googleapis.com/chrome-for-testing-public
RUN yarn install --production --network-timeout 100000 && yarn cache clean
# Compile Llama.cpp bindings for node-llama-cpp for this operating system.
# Creates appropriate bindings for the OS
USER root
@ -143,24 +150,14 @@ RUN npx --no node-llama-cpp download
WORKDIR /app
USER anythingllm
# Build collector deps (this also downloads proper chrome for collector in /app/.cache so that needs to be
# transferred properly in prod-build stage.
FROM build AS collector-build
COPY ./collector /app/collector
WORKDIR /app/collector
ENV PUPPETEER_DOWNLOAD_BASE_URL=https://storage.googleapis.com/chrome-for-testing-public
RUN yarn install --production --network-timeout 100000 && yarn cache clean
# Since we are building from backend-build we just need to move built frontend into server/public
FROM backend-build AS production-build
WORKDIR /app
FROM build AS production-build
WORKDIR /app
# Copy the server
COPY --chown=anythingllm:anythingllm --from=server-build /app/server/ /app/server/
# Copy built static frontend files to the server public directory
COPY --chown=anythingllm:anythingllm --from=frontend-build /app/frontend/dist /app/server/public
# Copy the collector
COPY --chown=anythingllm:anythingllm --from=collector-build /app/collector/ /app/collector/
COPY --chown=anythingllm:anythingllm --from=collector-build /app/.cache/puppeteer /app/.cache/puppeteer
USER root
RUN chown -R anythingllm:anythingllm /app/server && \
chown -R anythingllm:anythingllm /app/collector
USER anythingllm
# No longer needed? (deprecated)
# WORKDIR /app/server

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@ -0,0 +1,51 @@
{
"@context": "https://openvex.dev/ns/v0.2.0",
"@id": "https://openvex.dev/docs/public/vex-6750d79bb005487e11d10f81d0b3ac92c47e6e259292c6b2d02558f9f4bca52d",
"author": "tim@mintplexlabs.com",
"timestamp": "2024-07-22T13:49:12.883675-07:00",
"version": 1,
"statements": [
{
"vulnerability": {
"name": "CVE-2019-10790"
},
"timestamp": "2024-07-22T13:49:12.883678-07:00",
"products": [
{
"@id": "pkg:docker/mintplexlabs/anythingllm@render",
"subcomponents": [
{
"@id": "pkg:npm/taffydb@2.6.2"
}
]
},
{
"@id": "pkg:docker/mintplexlabs/anythingllm@railway",
"subcomponents": [
{
"@id": "pkg:npm/taffydb@2.6.2"
}
]
},
{
"@id": "pkg:docker/mintplexlabs/anythingllm@latest",
"subcomponents": [
{
"@id": "pkg:npm/taffydb@2.6.2"
}
]
},
{
"@id": "pkg:docker/mintplexlabs/anythingllm@master",
"subcomponents": [
{
"@id": "pkg:npm/taffydb@2.6.2"
}
]
}
],
"status": "not_affected",
"justification": "vulnerable_code_cannot_be_controlled_by_adversary"
}
]
}

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@ -19,7 +19,7 @@ const DEFAULT_SETTINGS = {
assistantBgColor: "#2563eb", // assistant text bubble color
noSponsor: null, // Shows sponsor in footer of chat
sponsorText: "Powered by AnythingLLM", // default sponsor text
sponsorLink: "https://useanything.com", // default sponsor link
sponsorLink: "https://anythingllm.com", // default sponsor link
position: "bottom-right", // position of chat button/window
assistantName: "AnythingLLM Chat Assistant", // default assistant name
assistantIcon: null, // default assistant icon

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@ -12,7 +12,7 @@
<!-- Facebook -->
<meta property="og:type" content="website">
<meta property="og:url" content="https://useanything.com">
<meta property="og:url" content="https://anythingllm.com">
<meta property="og:title" content="AnythingLLM | Your personal LLM trained on anything">
<meta property="og:description" content="AnythingLLM | Your personal LLM trained on anything">
<meta property="og:image"
@ -20,7 +20,7 @@
<!-- Twitter -->
<meta property="twitter:card" content="summary_large_image">
<meta property="twitter:url" content="https://useanything.com">
<meta property="twitter:url" content="https://anythingllm.com">
<meta property="twitter:title" content="AnythingLLM | Your personal LLM trained on anything">
<meta property="twitter:description" content="AnythingLLM | Your personal LLM trained on anything">
<meta property="twitter:image"

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@ -63,6 +63,7 @@ const ExperimentalFeatures = lazy(
const LiveDocumentSyncManage = lazy(
() => import("@/pages/Admin/ExperimentalFeatures/Features/LiveSync/manage")
);
const FineTuningWalkthrough = lazy(() => import("@/pages/FineTuning"));
export default function App() {
return (
@ -186,6 +187,11 @@ export default function App() {
path="/settings/beta-features/live-document-sync/manage"
element={<AdminRoute Component={LiveDocumentSyncManage} />}
/>
<Route
path="/fine-tuning"
element={<AdminRoute Component={FineTuningWalkthrough} />}
/>
</Routes>
<ToastContainer />
</I18nextProvider>

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@ -111,6 +111,35 @@ export default function OllamaLLMOptions({ settings }) {
Enter the URL where Ollama is running.
</p>
</div>
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-2">
Ollama Keep Alive
</label>
<select
name="OllamaLLMKeepAliveSeconds"
required={true}
className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
defaultValue={settings?.OllamaLLMKeepAliveSeconds ?? "300"}
>
<option value="0">No cache</option>
<option value="300">5 minutes</option>
<option value="3600">1 hour</option>
<option value="-1">Forever</option>
</select>
<p className="text-xs leading-[18px] font-base text-white text-opacity-60 mt-2">
Choose how long Ollama should keep your model in memory before
unloading.
<a
className="underline text-blue-300"
href="https://github.com/ollama/ollama/blob/main/docs/faq.md#how-do-i-keep-a-model-loaded-in-memory-or-make-it-unload-immediately"
target="_blank"
>
{" "}
Learn more &rarr;
</a>
</p>
</div>
</div>
</div>
</div>

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@ -21,6 +21,7 @@ import { useTranslation } from "react-i18next";
import showToast from "@/utils/toast";
import System from "@/models/system";
import Option from "./MenuOption";
import { FineTuningAlert } from "@/pages/FineTuning/Banner";
export default function SettingsSidebar() {
const { t } = useTranslation();
@ -132,48 +133,53 @@ export default function SettingsSidebar() {
}
return (
<div>
<Link
to={paths.home()}
className="flex shrink-0 max-w-[55%] items-center justify-start mx-[38px] my-[18px]"
>
<img
src={logo}
alt="Logo"
className="rounded max-h-[24px]"
style={{ objectFit: "contain" }}
/>
</Link>
<div
ref={sidebarRef}
className="transition-all duration-500 relative m-[16px] rounded-[16px] bg-sidebar border-2 border-outline min-w-[250px] p-[10px] h-[calc(100%-76px)]"
>
<div className="w-full h-full flex flex-col overflow-x-hidden items-between min-w-[235px]">
<div className="text-white text-opacity-60 text-sm font-medium uppercase mt-[4px] mb-0 ml-2">
{t("settings.title")}
</div>
<div className="relative h-[calc(100%-60px)] flex flex-col w-full justify-between pt-[10px] overflow-y-scroll no-scroll">
<div className="h-auto sidebar-items">
<div className="flex flex-col gap-y-2 pb-[60px] overflow-y-scroll no-scroll">
<SidebarOptions user={user} t={t} />
<div className="h-[1.5px] bg-[#3D4147] mx-3 mt-[14px]" />
<SupportEmail />
<Link
hidden={user?.hasOwnProperty("role") && user.role !== "admin"}
to={paths.settings.privacy()}
className="text-darker hover:text-white text-xs leading-[18px] mx-3"
>
{t("settings.privacy")}
</Link>
<>
<div>
<Link
to={paths.home()}
className="flex shrink-0 max-w-[55%] items-center justify-start mx-[38px] my-[18px]"
>
<img
src={logo}
alt="Logo"
className="rounded max-h-[24px]"
style={{ objectFit: "contain" }}
/>
</Link>
<div
ref={sidebarRef}
className="transition-all duration-500 relative m-[16px] rounded-[16px] bg-sidebar border-2 border-outline min-w-[250px] p-[10px] h-[calc(100%-76px)]"
>
<div className="w-full h-full flex flex-col overflow-x-hidden items-between min-w-[235px]">
<div className="text-white text-opacity-60 text-sm font-medium uppercase mt-[4px] mb-0 ml-2">
{t("settings.title")}
</div>
<div className="relative h-[calc(100%-60px)] flex flex-col w-full justify-between pt-[10px] overflow-y-scroll no-scroll">
<div className="h-auto sidebar-items">
<div className="flex flex-col gap-y-2 pb-[60px] overflow-y-scroll no-scroll">
<SidebarOptions user={user} t={t} />
<div className="h-[1.5px] bg-[#3D4147] mx-3 mt-[14px]" />
<SupportEmail />
<Link
hidden={
user?.hasOwnProperty("role") && user.role !== "admin"
}
to={paths.settings.privacy()}
className="text-darker hover:text-white text-xs leading-[18px] mx-3"
>
{t("settings.privacy")}
</Link>
</div>
</div>
</div>
</div>
<div className="absolute bottom-0 left-0 right-0 pt-4 pb-3 rounded-b-[16px] bg-sidebar bg-opacity-80 backdrop-filter backdrop-blur-md z-10">
<Footer />
<div className="absolute bottom-0 left-0 right-0 pt-4 pb-3 rounded-b-[16px] bg-sidebar bg-opacity-80 backdrop-filter backdrop-blur-md z-10">
<Footer />
</div>
</div>
</div>
</div>
</div>
<FineTuningAlert />
</>
);
}

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@ -766,3 +766,31 @@ does not extend the close button beyond the viewport. */
display: none;
}
}
.top-banner {
animation: popTop 500ms forwards;
}
@keyframes popTop {
0% {
top: -3.5rem;
}
100% {
top: 0px;
}
}
.rm-top-banner {
animation: rmPopTop 500ms forwards;
}
@keyframes rmPopTop {
0% {
top: 0px;
}
100% {
top: -3.5rem;
}
}

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@ -0,0 +1,129 @@
import { API_BASE } from "@/utils/constants";
import { baseHeaders, safeJsonParse } from "@/utils/request";
const FineTuning = {
cacheKeys: {
dismissed_cta: "anythingllm_dismissed_fine_tune_notif",
eligibility: "anythingllm_can_fine_tune",
},
/**
* Get the information for the Fine-tuning product to display in various frontends
* @returns {Promise<{
* productDetails: {
* name: string,
* description: string,
* icon: string,
* active: boolean,
* },
* pricing: {
* usd: number,
* },
* availableBaseModels: string[]
* }>}
*/
info: async function () {
return await fetch(`${API_BASE}/experimental/fine-tuning/info`, {
method: "GET",
headers: baseHeaders(),
})
.then((res) => {
if (!res.ok) throw new Error("Could not get model info.");
return res.json();
})
.then((res) => res)
.catch((e) => {
console.error(e);
return null;
});
},
datasetStat: async function ({ slugs = [], feedback = null }) {
return await fetch(`${API_BASE}/experimental/fine-tuning/dataset`, {
method: "POST",
headers: baseHeaders(),
body: JSON.stringify({ slugs, feedback }),
})
.then((res) => {
if (!res.ok) throw new Error("Could not get dataset info.");
return res.json();
})
.then((res) => res)
.catch((e) => {
console.error(e);
return { count: null };
});
},
/**
* Generates Fine-Tuning order.
* @param {{email:string, baseModel:string, modelName: string, trainingData: {slugs:string[], feedback:boolean|null}}} param0
* @returns {Promise<{checkoutUrl:string, jobId:string}|null>}
*/
createOrder: async function ({ email, baseModel, modelName, trainingData }) {
return await fetch(`${API_BASE}/experimental/fine-tuning/order`, {
method: "POST",
headers: baseHeaders(),
body: JSON.stringify({
email,
baseModel,
modelName,
trainingData,
}),
})
.then((res) => {
if (!res.ok) throw new Error("Could not order fine-tune.");
return res.json();
})
.then((res) => res)
.catch((e) => {
console.error(e);
return null;
});
},
/**
* Determine if a user should see the CTA alert. In general this alert
* Can only render if the user is empty (single user) or is an admin role.
* @returns {boolean}
*/
canAlert: function (user = null) {
if (!!user && user.role !== "admin") return false;
return !window?.localStorage?.getItem(this.cacheKeys.dismissed_cta);
},
checkEligibility: async function () {
const cache = window.localStorage.getItem(this.cacheKeys.eligibility);
if (!!cache) {
const { data, lastFetched } = safeJsonParse(cache, {
data: null,
lastFetched: 0,
});
if (!!data && Date.now() - lastFetched < 1.8e7)
// 5 hours
return data.eligible;
}
return await fetch(`${API_BASE}/experimental/fine-tuning/check-eligible`, {
method: "GET",
headers: baseHeaders(),
})
.then((res) => {
if (!res.ok) throw new Error("Could not check if eligible.");
return res.json();
})
.then((res) => {
window.localStorage.setItem(
this.cacheKeys.eligibility,
JSON.stringify({
data: { eligible: res.eligible },
lastFetched: Date.now(),
})
);
return res.eligible;
})
.catch((e) => {
console.error(e);
return false;
});
},
};
export default FineTuning;

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@ -66,7 +66,7 @@ export default function LiveSyncToggle({ enabled = false, onToggle }) {
<ul className="space-y-2">
<li>
<a
href="https://docs.useanything.com/beta-preview/active-features/live-document-sync"
href="https://docs.anythingllm.com/beta-preview/active-features/live-document-sync"
target="_blank"
className="text-sm text-blue-400 hover:underline flex items-center gap-x-1"
>

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@ -240,10 +240,10 @@ function FeatureVerification({ children }) {
Access to any features requires approval of this modal. If
you would like to read more you can refer to{" "}
<a
href="https://docs.useanything.com/beta-preview/overview"
href="https://docs.anythingllm.com/beta-preview/overview"
className="underline text-blue-500"
>
docs.useanything.com
docs.anythingllm.com
</a>{" "}
or email{" "}
<a

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@ -0,0 +1,66 @@
import { useEffect, useState } from "react";
import useUser from "@/hooks/useUser";
import FineTuning from "@/models/experimental/fineTuning";
import { createPortal } from "react-dom";
import { Sparkle } from "@phosphor-icons/react";
import { Link, useLocation } from "react-router-dom";
import paths from "@/utils/paths";
export function FineTuningAlert() {
const { user } = useUser();
const location = useLocation();
const [className, setClassName] = useState("top-banner");
const [isEligible, setIsEligible] = useState(false);
function dismissAlert() {
setClassName("rm-top-banner");
window?.localStorage?.setItem(FineTuning.cacheKeys.dismissed_cta, "1");
setTimeout(() => {
setIsEligible(false);
}, 550);
}
useEffect(() => {
if (!FineTuning.canAlert(user)) return;
if (
location.pathname === paths.orderFineTune() ||
location.pathname === paths.settings.chats()
)
return;
FineTuning.checkEligibility()
.then((eligible) => setIsEligible(eligible))
.catch(() => null);
}, [user]);
if (!isEligible) return null;
return createPortal(
<div
className={`fixed ${className} left-0 right-0 h-14 bg-orange-400 flex items-center justify-end px-4 z-[9999]`}
>
<Link
onClick={dismissAlert}
to={paths.orderFineTune()}
className="grow w-full h-full ml-4 py-1"
>
<div className="flex flex-col items-center w-full">
<div className="flex w-full justify-center items-center gap-x-2">
<Sparkle size={20} className="text-white" />
<p className="text-white font-medium text-lg">
You have enough data for a fine-tune!
</p>
</div>
<p className="text-xs text-white">click to learn more &rarr;</p>
</div>
</Link>
<div className="flex items-center gap-x-2 shrink-0">
<button
onClick={dismissAlert}
className="border-none text-white font-medium text-sm px-[10px] py-[6px] rounded-md bg-white/5 hover:bg-white/10"
>
Dismiss
</button>
</div>
</div>,
document.getElementById("root")
);
}

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@ -0,0 +1,147 @@
import FineTuning from "@/models/experimental/fineTuning";
import { dollarFormat } from "@/utils/numbers";
import showToast from "@/utils/toast";
import { CheckCircle } from "@phosphor-icons/react";
import { useState } from "react";
import FineTuningSteps from "../index";
/**
* @param {{settings: import("../index").OrderSettings}} param0
* @returns
*/
export default function Confirmation({ settings, setSettings, setStep }) {
const [loading, setLoading] = useState(false);
async function handleCheckout() {
setLoading(true);
const data = await FineTuning.createOrder({
email: settings.email,
baseModel: settings.baseModel,
modelName: settings.modelName,
trainingData: {
slugs: settings.trainingData.slugs,
feedback: settings.trainingData.feedback,
},
});
if (!data) {
setLoading(false);
showToast("Could not generate new order.", "error", { clear: true });
return;
}
window.open(data.checkoutUrl, "_blank");
setSettings((prev) => {
return {
...prev,
jobId: data.jobId,
checkoutUrl: data.checkoutUrl,
};
});
setStep(FineTuningSteps.confirmation.next());
}
return (
<div className="flex-[2] flex flex-col gap-y-[18px] mt-10">
<div className="bg-[#303237] text-white rounded-xl flex-1 p-4 flex flex-col justify-between">
<div className="w-full flex flex-col gap-y-4">
<h2 className="text-xl text-white font-semibold">Confirm & Submit</h2>
<p>
Below are your fine-tuning order details. If you have any questions
before or after ordering your fine-tune you can{" "}
<a
href="https://docs.useanything.com/fine-tuning/overview"
target="_blank"
className="underline"
>
checkout the fine-tuning FAQ
</a>{" "}
or email{" "}
<a className="underline" href="mailto:team@mintplexlabs.com">
team@mintplexlabs.com
</a>
.
</p>
<div className="p-2 bg-zinc-800 text-white font-mono flex flex-col gap-y-2 h-full rounded-lg">
<div className="flex items-center gap-x-1 text-sm">
<p className="">Contact e-mail:</p>
<p className="font-thin">{settings.email}</p>
</div>
<div className="flex items-center gap-x-1 text-sm">
<p className="">Base LLM:</p>
<p className="font-thin">{settings.baseModel}</p>
</div>
<div className="flex items-center gap-x-1 text-sm">
<p className="">Output model name:</p>
<p className="font-thin">"{settings.modelName}"</p>
</div>
<div className="flex flex-col gap-y-1 text-sm">
<div className="flex items-center gap-x-1">
<p className="">Training on workspaces:</p>
{settings.trainingData.slugs.map((slug, i) => {
return (
<p key={slug} className="font-thin">
"{slug}"
{i !== settings.trainingData.slugs.length - 1 ? "," : ""}
</p>
);
})}
</div>
{settings.trainingData.feedback === true ? (
<p className="underline">
training on <b>positive-feedback chats only</b>.
</p>
) : (
<p className="underline">
training on <b>all chats</b>.
</p>
)}
</div>
<br />
<div className="flex items-center gap-x-1 text-sm">
<CheckCircle className="text-green-300" />
<p className="font-thin">Agreed to Terms and Conditions</p>
</div>
<div className="flex items-center gap-x-1 text-sm">
<CheckCircle className="text-green-300" />
<p className="font-thin">Understand privacy & data handling</p>
</div>
<div className="flex items-center gap-x-1 text-sm">
<CheckCircle className="text-green-300" />
<p className="font-thin">Agreed to Fulfillment terms</p>
</div>
<div>
<div className="flex items-center gap-x-1 text-lg border-t-[2px] border-white/40 pt-2 mb-0">
<p className="">Total one-time cost:</p>
<p className="font-thin">
{dollarFormat(settings.tuningInfo.pricing.usd)}
<sup>*</sup>
</p>
</div>
<p className="m-0 p-0 text-xs text-white/60 font-mono">
<sup>*</sup> price does not include any coupons, incentives, or
discounts you can apply at checkout.
</p>
</div>
</div>
<p>
Once you proceed to checkout, if you do not complete this purchase
your data will be deleted from our servers within 1 hour of
abandonment of the creation of the checkout in accordance to our
privacy and data handling policy.
</p>
</div>
<button
disabled={loading}
onClick={handleCheckout}
type="button"
className="mt-8 w-full py-2 text-center text-black bg-white hover:bg-white/80 border-none rounded-lg"
>
{loading ? <>Generating order...</> : <>Start Training &rarr;</>}
</button>
</div>
</div>
);
}

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@ -0,0 +1,295 @@
import { useEffect, useState } from "react";
import FineTuning from "@/models/experimental/fineTuning";
import Workspace from "@/models/workspace";
import { CheckCircle, Warning, X } from "@phosphor-icons/react";
import FineTuningSteps from "..";
export default function DataUpload({ setSettings, setStep }) {
const [workspaces, setWorkspaces] = useState([]);
const [dataFilters, setDataFilters] = useState({
workspaces: [],
feedback: null,
});
useEffect(() => {
Workspace.all()
.then((workspaces) => {
const workspaceOpts = workspaces.map((ws) => {
return { slug: ws.slug, name: ws.name };
});
setWorkspaces(workspaceOpts);
setDataFilters((prev) => {
return { ...prev, workspaces: workspaceOpts };
});
})
.catch(() => null);
}, []);
async function handleSubmit(e) {
e.preventDefault();
setSettings((prev) => {
return {
...prev,
trainingData: {
slugs: dataFilters.workspaces.map((ws) => ws.slug),
feedback: dataFilters.feedback,
},
};
});
setStep(FineTuningSteps["data-selection"].next());
}
return (
<div className="flex-[2] flex flex-col gap-y-[18px] mt-10">
<div className="bg-[#303237] text-white rounded-xl flex-1 p-4">
<form
onSubmit={handleSubmit}
className="flex flex-col justify-between h-full"
>
<div className="w-full flex flex-col gap-y-4">
<h2 className="text-xl text-white font-semibold">
Select your training dataset.
</h2>
<p>
This is the data your model will be trained and tuned on. This is
a critical step and you should always train on the exact
information you want the model to inherit. By default, AnythingLLM
will use all chats, but you can filter chats by workspace and even
limit training to chats which users have left a positive feedback
indication on (thumbs up).
</p>
<div className="flex flex-col pr-10">
<div className="flex flex-col gap-y-1 mb-4">
<label className="text-white text-sm font-bold">
Only use positive responses
</label>
<p className="text-xs font-normal text-white/80">
Enabling this toggle will filter your dataset to only use
"positive" responses that were marked during chatting.
</p>
</div>
<label className="relative inline-flex cursor-pointer items-center w-fit">
<input
type="checkbox"
onClick={() =>
setDataFilters((prev) => {
return { ...prev, feedback: !prev.feedback };
})
}
checked={dataFilters.feedback}
className="peer sr-only pointer-events-none"
/>
<div className="pointer-events-none peer h-6 w-11 rounded-full bg-stone-400 after:absolute after:left-[2px] after:top-[2px] after:h-5 after:w-5 after:rounded-full after:shadow-xl after:border after:border-gray-600 after:bg-white after:box-shadow-md after:transition-all after:content-[''] peer-checked:bg-lime-300 peer-checked:after:translate-x-full peer-checked:after:border-white peer-focus:outline-none peer-focus:ring-0 peer-focus:ring-none"></div>
</label>
</div>
<div className="flex flex-col pr-10">
<div className="flex flex-col gap-y-1 mb-4">
<label className="text-white text-sm font-bold">
Selected Workspaces
</label>
<p className="text-xs font-normal text-white/80">
You training data will be limited to these workspaces.
</p>
</div>
<WorkspaceSelector
workspaces={workspaces}
selectedWorkspaces={dataFilters.workspaces}
setDataFilters={setDataFilters}
/>
</div>
<DatasetSummary
workspaces={dataFilters.workspaces}
feedback={dataFilters.feedback}
/>
</div>
<button
type="submit"
className="mt-20 w-full py-2 text-center text-white hover:bg-primary-button border-none rounded-lg"
>
Proceed to Confirmation &rarr;
</button>
</form>
</div>
</div>
);
}
function WorkspaceSelector({
workspaces = [],
selectedWorkspaces = [],
setDataFilters,
}) {
const [query, setQuery] = useState("");
const [showSuggestions, setShowSuggestions] = useState(false);
const availableWorkspaces = workspaces.filter(
(ws) =>
!selectedWorkspaces.find((selectedWs) => selectedWs.slug === ws.slug)
);
function handleAddWorkspace(workspace) {
setDataFilters((prev) => {
return {
...prev,
workspaces: [...prev.workspaces, workspace],
};
});
setQuery("");
setShowSuggestions(false);
}
function handleRemoveWorkspace(workspace) {
setDataFilters((prev) => {
const filtered = prev.workspaces.filter(
(ws) => ws.slug !== workspace.slug
);
return {
...prev,
workspaces: filtered,
};
});
setQuery("");
setShowSuggestions(false);
}
return (
<div className="flex flex-col items-center">
<div className="w-full h-fit">
<div className="w-full relative z-1">
<div className="p-1 flex border border-white/40 bg-zinc-800 rounded">
<div className="flex flex-auto flex-wrap">
{selectedWorkspaces.map((workspace) => {
return (
<div
key={workspace.slug}
className="flex gap-x-1 justify-center items-center m-1 font-medium py-1 px-2 bg-zinc-800 rounded-full text-white/40 bg-white/10 border border-white/40 "
>
<div className="text-xs font-normal text-white leading-none max-w-full flex-initial">
{workspace.name}
</div>
<div className="flex flex-auto flex-row-reverse">
<button
onClick={() => handleRemoveWorkspace(workspace)}
type="button"
className="hover:text-red-500"
>
<X size={14} weight="bold" />
</button>
</div>
</div>
);
})}
<div className="flex-1">
<input
value={query}
onChange={(e) => setQuery(e.target.value)}
onFocus={() => setShowSuggestions(true)}
onBlur={() =>
setTimeout(() => {
setShowSuggestions(false);
}, 500)
}
placeholder="Enter a workspace name"
className="w-[200px] bg-transparent p-1 px-2 appearance-none outline-none h-full w-full text-white"
/>
</div>
</div>
</div>
</div>
{showSuggestions && (
<div className="w-full flex relative">
<div className="w-full absolute top-0 z-20">
<WorkspaceSuggestions
availableWorkspaces={availableWorkspaces}
addWorkspace={handleAddWorkspace}
query={query}
/>
</div>
</div>
)}
</div>
</div>
);
}
function WorkspaceSuggestions({
availableWorkspaces = [],
addWorkspace,
query = "",
}) {
if (availableWorkspaces.length === 0) {
return (
<div className="w-full mt-[2px] bg-zinc-800 border border-white/40 top-[45px] h-40 rounded-lg p-2 text-sm">
<p className="text-center text-white/40">
no workspaces available to select.
</p>
</div>
);
}
const filteredWorkspace = !!query
? availableWorkspaces.filter((ws) => {
return (
ws.slug.toLowerCase().includes(query.toLowerCase()) ||
ws.name.toLowerCase().includes(query.toLowerCase())
);
})
: availableWorkspaces;
return (
<div className="w-full mt-[2px] bg-zinc-800 border border-white/40 top-[45px] h-40 rounded-lg p-2 text-sm flex flex-col gap-y-1 justify-start overflow-y-scroll">
{filteredWorkspace.map((workspace) => {
return (
<button
key={workspace.slug}
onClick={() => addWorkspace(workspace)}
type="button"
className="text-left text-white hover:bg-white/10 rounded-lg p-1"
>
{workspace.name}
</button>
);
})}
</div>
);
}
function DatasetSummary({ workspaces = [], feedback = null }) {
const [stats, setStats] = useState({ count: null, recommendedMin: 50 });
useEffect(() => {
function getStats() {
const slugs = workspaces?.map((ws) => ws.slug);
if (!slugs || slugs.length === 0) return;
FineTuning.datasetStat({ slugs, feedback })
.then((stats) => setStats(stats))
.catch((e) => null);
}
getStats();
}, [workspaces, feedback]);
return (
<div className="bg-zinc-800 text-white/80 p-2 rounded-lg font-mono">
<p>Training dataset size: {stats.count ?? "Unknown"}</p>
{stats.count < stats.recommendedMin ? (
<div className="flex items-center gap-x-1 text-red-500 text-sm p-1 rounded-lg bg-red-500/20 w-fit my-2">
<Warning />
<p>
Your dataset is below the recommended minimum of{" "}
{stats.recommendedMin}! You may see no impact from a fine-tune.
</p>
</div>
) : (
<div className="flex items-center gap-x-1 text-green-500 text-sm p-1 rounded-lg bg-green-500/20 w-fit my-2">
<CheckCircle />
<p>
Your dataset is large enough that you should see good results from a
fine-tune.
</p>
</div>
)}
</div>
);
}

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@ -0,0 +1,129 @@
import FineTuningSteps from "..";
export default function Fulfillment({ setSettings, setStep }) {
const handleAccept = () => {
setSettings((prev) => {
return { ...prev, agreedToTerms: true };
});
setStep(FineTuningSteps.fulfillment.next());
};
return (
<div className="flex-[2] flex flex-col gap-y-[18px] mt-10">
<div className="bg-[#303237] text-white rounded-xl flex-1 p-4">
<div className="w-full flex flex-col gap-y-4">
<h2 className="text-xl text-white font-semibold">
Fulfillment Policy
</h2>
<p>
Fulfillment of a fine-tune model is straight-forward. We do not host
your model. We provide you a download link to run the model in a
standard format where ever you run local LLMs
</p>
<div className="flex flex-col gap-y-2 text-white/75 text-sm border p-2 border-white rounded-lg font-mono h-[60vh] overflow-y-scroll">
<h1 class="text-white/80 text-lg font-semibold">
Fulfillment Terms
</h1>
<p>
<strong>Last updated: July 15, 2024</strong>
</p>
<p>
These fulfillment terms outline the agreement between Mintplex
Labs Inc. (Company, we, us, or our) and the customer
regarding the creation and delivery of fine-tuned models.
</p>
<h2 class="text-white/80 text-base font-semibold">
Delivery of Model
</h2>
<p>
Upon completion of a fine-tuning job, we will deliver a download
link to a .gguf model file suitable for LLM text inferencing. The
customer acknowledges that this exchange is strictly transactional
and non-recurring. Once the model file is delivered, the agreement
is considered concluded and will be ineligible for a refund.
</p>
<h2 class="text-white/80 text-base font-semibold">Support</h2>
<p>
Please note that the delivery of the model does not include any
dedicated support. Customers are encouraged to refer to available
documentation and resources for guidance on using the model.
</p>
<h2 class="text-white/80 text-base font-semibold">
Requesting Download Links
</h2>
<p>
Customers may request refreshed download links from
my.mintplexlabs.com as long as the model is retained in our cloud
storage. We will retain a model in our storage for a maximum of 3
months or until the customer requests its removal. All download
links are valid for 24 hours.
</p>
<h2 class="text-white/80 text-base font-semibold">
Cancellation and Refunds
</h2>
<p>
Mintplex Labs Inc. reserves the right to cancel any fine-tuning
job at our discretion. In the event of a cancellation, a refund
may be issued. Additionally, we reserve the right to deny a
payment from the Customer or issue refunds for any reason without
cause or notice to the Customer.
</p>
<h2 class="text-white/80 text-base font-semibold">No Guarantees</h2>
<p>
Mintplex Labs Inc. makes <strong>NO GUARANTEES</strong> regarding
the resulting model's output, functionality, speed, or
compatibility with your tools, infrastructure and devices. Refund
requests of this nature are not eligible for refunds.
</p>
<p>
Models are delivered and accepted in "As-Is" condition. All
delivered model and output files are deemed final and
non-refundable for any reason after training is complete and a
model has been generated.
</p>
<h2 class="text-white/80 text-base font-semibold">Payment Terms</h2>
<p>
All payments are required prior to the commencement of the
fine-tuning process. Customers are responsible for ensuring that
valid payment information is provided. Checkout sessions not
completed within 1 hour of creation will be considered as
abandoned and will be deleted from our system.
</p>
<h2 class="text-white/80 text-base font-semibold">
Denial of Service for Payment Reasons
</h2>
<p>
Mintplex Labs Inc. reserves the right to deny service to any
customer with an outstanding balance or invalid payment
information. If any discrepancies arise regarding payment or
usage, we may suspend services until the matter is resolved.
</p>
<h2 class="text-white/80 text-base font-semibold">Contact</h2>
<p>
For any questions related to payment or fulfillment of services,
please contact us at{" "}
<a href="mailto:team@mintplexlabs.com">team@mintplexlabs.com</a>.
</p>
</div>
</div>
<button
onClick={handleAccept}
type="button"
className="mt-8 w-full py-2 text-center text-white hover:bg-primary-button border-none rounded-lg"
>
Agree and continue &rarr;
</button>
</div>
</div>
);
}

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@ -0,0 +1,110 @@
import { CheckCircle, XCircle } from "@phosphor-icons/react";
import FineTuningSteps from "..";
export default function Introduction({ setSettings, setStep }) {
const handleAccept = () => {
setSettings((prev) => {
return { ...prev, agreedToTerms: true };
});
setStep(FineTuningSteps.intro.next());
};
return (
<div className="flex-[2] flex flex-col gap-y-[18px] mt-10">
<div className="bg-[#303237] text-white rounded-xl flex-1 p-4">
<div className="w-full flex flex-col gap-y-4">
<h2 className="text-xl text-white font-semibold">
What is a "Fine-Tuned" model?
</h2>
<div className="flex flex-col gap-y-2 text-white/80">
<p>
Fine-tuned models are basically "customized"
Language-Learning-Models (LLMs). These can be based on popular
open-source <b>foundational</b> models like LLama3 8B or even some
closed source models like GPT-3.5.
</p>
<p>
Typically, you would use an open-source model - you probably are
using one right now with AnythingLLM!
</p>
<p>
When you create a custom fine-tune with AnythingLLM we will train
a custom base model on your specific data already inside of this
AnythingLLM instance and give you back a <code>GGUF</code> file
you can then load back into tools like Ollama, LMStudio, and
anywhere else you use local LLMs.
</p>
</div>
<div className="flex flex-col gap-y-2 text-white/80">
<h3 className="text-lg text-white font-semibold">
When should I get a fine-tuned model?
</h3>
<p>
Fine-tuned models are perfect for when you need any of the
following
</p>
<ul className="flex flex-col gap-y-1">
<li className="flex items-center gap-x-1">
<CheckCircle className="text-green-300" /> Setting the style,
tone, format, or other qualitative aspects without prompting
</li>
<li className="flex items-center gap-x-1">
<CheckCircle className="text-green-300" /> Improving reliability
at producing a desired output
</li>
<li className="flex items-center gap-x-1">
<CheckCircle className="text-green-300" /> Correcting failures
to follow complex prompts, citations, or lack of background
knowledge
</li>
<li className="flex items-center gap-x-1">
<CheckCircle className="text-green-300" /> You want to run this
model privately or offline
</li>
</ul>
</div>
<div className="flex flex-col gap-y-2 text-white/80">
<h3 className="text-lg text-white font-semibold">
What are fine-tunes bad for?
</h3>
<p>
Fine-tuned models powerful, but they are not the "silver bullet"
to any issues you have with RAG currently. Some notable
limitations are
</p>
<ul>
<li className="flex items-center gap-x-1">
<XCircle className="text-red-300" /> You need perfect recall of
some piece of literature or reference document
</li>
<li className="flex items-center gap-x-1">
<XCircle className="text-red-300" /> You want your model to have
perfect memory or recollection
</li>
</ul>
</div>
<div className="flex flex-col gap-y-2 text-white/80">
<p>
In summary, if you are getting good results with RAG currently,
creating a fine-tune can squeeze <b>even more performance</b> out
of a model. Fine-Tunes are are for improving response quality and
general responses, but they are <b>not for knowledge recall</b> -
that is what RAG is for! Together, it is a powerful combination.
</p>
</div>
</div>
<button
onClick={handleAccept}
type="button"
className="mt-8 w-full py-2 text-center text-white hover:bg-primary-button border-none rounded-lg"
>
Start a fine-tune &rarr;
</button>
</div>
</div>
);
}

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@ -0,0 +1,138 @@
import FineTuning from "@/models/experimental/fineTuning";
import { useEffect, useState } from "react";
import FineTuningSteps from "..";
import { CircleNotch } from "@phosphor-icons/react";
export default function OrderDetails({ setSettings, setStep }) {
const [info, setInfo] = useState({});
useEffect(() => {
FineTuning.info()
.then((res) => {
setInfo(res);
setSettings((prev) => {
return { ...prev, tuningInfo: res };
});
})
.catch(() => setInfo({}));
}, []);
async function handleSubmit(e) {
e.preventDefault();
const form = new FormData(e.target);
setSettings((prev) => {
return {
...prev,
email: form.get("email"),
baseModel: form.get("baseModel"),
modelName: form.get("modelName"),
};
});
setStep(FineTuningSteps["order-details"].next());
}
return (
<div className="flex-[2] flex flex-col gap-y-[18px] mt-10">
<div className="bg-[#303237] text-white rounded-xl flex-1 p-4">
<form onSubmit={handleSubmit}>
<div className="w-full flex flex-col gap-y-4">
<h2 className="text-xl text-white font-semibold">
Time to create your fine tune!
</h2>
<p>
Creating a model is quite simple. Currently we have a limited base
model selection, however in the future we plan to expand support
to many more foundational models.
</p>
<div className="flex flex-col pr-10">
<div className="flex flex-col gap-y-1 mb-4">
<label className="text-white text-sm font-bold">
Account e-mail
</label>
<p className="text-xs font-normal text-white/80">
This e-mail is where you will receive all order information
and updates. This e-mail <b>must be accurate</b> or else we
won't be able to contact you with your fine-tuned model!
</p>
</div>
<input
type="email"
name="email"
className="border-none bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:outline-primary-button active:outline-primary-button outline-none block w-full p-2.5"
placeholder="jdoe@example.com"
required={true}
autoComplete="off"
spellCheck={false}
/>
</div>
<div className="flex flex-col pr-10">
<div className="flex flex-col gap-y-1 mb-4">
<label className="text-white text-sm font-bold">
Preferred Base Model
</label>
<p className="text-xs font-normal text-white/80">
This is the foundational model your fine-tune will be based
on. We recommend Llama 3 8B.
</p>
</div>
{info.hasOwnProperty("availableBaseModels") ? (
<select
name="baseModel"
required={true}
className="border-none bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-fit p-2.5"
>
<option disabled="true" selected="true" value="">
-- select a base model --
</option>
<optgroup label="Available base models">
{(info?.availableBaseModels || []).map((model) => {
return (
<option key={model} value={model}>
{model}
</option>
);
})}
</optgroup>
</select>
) : (
<div className="flex items-center gap-x-2 text-white/80 text-sm">
<CircleNotch className="animate-spin" size={12} />
<p>fetching available models...</p>
</div>
)}
</div>
<div className="flex flex-col pr-10">
<div className="flex flex-col gap-y-1 mb-4">
<label className="text-white text-sm font-bold">
Model name
</label>
<p className="text-xs font-normal text-white/80">
What would you like to call your model? This has no impact on
its output or training and is only used for how we communicate
with you about the model.
</p>
</div>
<input
type="text"
name="modelName"
className="border-none bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:outline-primary-button active:outline-primary-button outline-none block w-full p-2.5"
placeholder="My really cool model!"
required={true}
autoComplete="off"
spellCheck={false}
/>
</div>
</div>
<button
type="submit"
className="mt-8 w-full py-2 text-center text-white hover:bg-primary-button border-none rounded-lg"
>
Proceed to data selection &rarr;
</button>
</form>
</div>
</div>
);
}

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@ -0,0 +1,69 @@
export default function OrderPlaced({ settings }) {
return (
<div className="flex-[2] flex flex-col gap-y-[18px] mt-10">
<div className="bg-[#303237] text-white rounded-xl flex-1 p-4">
<div className="w-full flex flex-col gap-y-4">
<h2 className="text-xl text-white font-semibold">
Your order is placed!
</h2>
<div className="">
<p>
Your fine-tune will begin once payment is complete. If the payment
window did not automatically open - your checkout link is below.
</p>
<a
href={settings.checkoutUrl}
target="_blank"
className="text-xs font-mono text-white/60 underline"
>
{new URL(settings.checkoutUrl).origin}
</a>
<p className="text-xs font-mono text-white/80">
Your fine-tune does not begin until this payment is completed.
</p>
</div>
<div className="">
<p className="font-mono text-white/80 text-sm">
Reference: {settings.jobId}
</p>
<p className="text-xs font-mono text-white/80">
This reference id is how we will communicate with you about your
fine-tune training status. <b>Save this reference id.</b>
</p>
</div>
<div className="">
<p className="font-mono text-white/80 text-sm">
Contact: {settings.email}
</p>
<p className="text-xs font-mono text-white/80">
Check the email above for order confirmation, status updates, and
more. Mintplex Labs will only contact you about your order via
email.
</p>
</div>
<div className="font-mono text-white/80 text-sm flex items-center gap-x-2">
<a
href="https://docs.useanything.com/fine-tuning/overview"
target="_blank"
className="underline"
>
Documentation
</a>
<a href="mailto:team@mintplexlabs.com" className="underline">
Contact support
</a>
</div>
<p className="text-xs font-mono text-white/80">
You can close this window or navigate away once you see the
confirmation email in your inbox.
</p>
</div>
</div>
</div>
);
}

View File

@ -0,0 +1,233 @@
import FineTuningSteps from "..";
export default function PrivacyHandling({ setSettings, setStep }) {
const handleAccept = () => {
setSettings((prev) => {
return { ...prev, agreedToPrivacy: true };
});
setStep(FineTuningSteps.privacy.next());
};
return (
<div className="flex-[2] flex flex-col gap-y-[18px] mt-10">
<div className="bg-[#303237] text-white rounded-xl flex-1 p-4">
<div className="w-full flex flex-col gap-y-4">
<h2 className="text-xl text-white font-semibold">
Data Handling Policy & Privacy
</h2>
<p>
Please accept the terms and conditions to continue with creation and
ordering of a fine-tune model. We take the handling of your data
very seriously and will only use your uploaded data for training the
model, after the model is created or the order is concluded,
completed, or canceled your information is automatically and
permanently deleted.
</p>
<div className="flex flex-col gap-y-2 text-white/75 text-sm border p-2 border-white rounded-lg font-mono h-[60vh] overflow-y-scroll">
<h1 class="text-white/80 text-lg font-semibold">Privacy Policy</h1>
<p>
<strong>Mintplex Labs Inc.</strong>
</p>
<p>Effective Date: July 15, 2024</p>
<h2 class="text-white/80 text-base font-semibold">
1. Introduction
</h2>
<p>
Welcome to Mintplex Labs Inc. ("we", "our", "us"). We are
committed to protecting your privacy and ensuring the security of
your personal information. This Privacy Policy describes how we
collect, use, and protect your information when you use our
services.
</p>
<h2 class="text-white/80 text-base font-semibold">
2. Information We Collect
</h2>
<p>
When you place an order with us for tuning and large language
model (LLM) fulfillment, we collect certain personal information
from you, including but not limited to:
</p>
<ul>
<li>Email address</li>
<li>Payment information</li>
<li>Uploaded training data</li>
</ul>
<h2 class="text-white/80 text-base font-semibold">
3. Use of Information
</h2>
<p>We use the information we collect for the following purposes:</p>
<ul>
<li>To process and fulfill your order</li>
<li>To communicate with you regarding your order</li>
<li>To improve our services</li>
</ul>
<h2 class="text-white/80 text-base font-semibold">
4. Data Retention and Deletion
</h2>
<p>
Uploaded training data is only retained for the duration of the
model training. Upon training completion, failure, or order
cancellation, the user data is permanently deleted from our
storage.
</p>
<p>
If you partially complete the order flow and do not finalize your
order, any details and information associated with your order will
be deleted 1 hour from abandonment.
</p>
<p>
After you confirm receipt of your resulting model files, you can
request us to delete your model from our storage at any time.
Additionally, we may proactively reach out to you to confirm that
you have received your model so we can delete it from storage. Our
model file retention policy is 3 months, after which we will
contact you to confirm receipt so we can remove the model from our
storage.
</p>
<h2 class="text-white/80 text-base font-semibold">
5. Data Storage and Security
</h2>
<p>
Our cloud storage provider is AWS. We have implement standard
encryption and protection policies to ensure the security of your
data. The storage solution has no public access, and all requests
for download URLs are pre-validated and signed by a minimal trust
program. Download URLs for the model file and associated outputs
are valid for 24 hours at a time. After expiration you can produce
refreshed links from https://my.mintplexlabs.com using the same
e-mail you used during checkout.
</p>
<h2 class="text-white/80 text-base font-semibold">
6. Payment Processing
</h2>
<p>
We use Stripe as our payment processor. Your email may be shared
with Stripe for customer service and payment management purposes.
</p>
<h2 class="text-white/80 text-base font-semibold">
7. Data Sharing
</h2>
<p>
We do not sell or share your personal information with third
parties except as necessary to provide our services, comply with
legal obligations, or protect our rights.
</p>
<h2 class="text-white/80 text-base font-semibold">
8. Your Rights
</h2>
<p>
You have the right to access, correct, or delete your personal
information. If you wish to exercise these rights, please contact
us at{" "}
<a href="mailto:team@mintplexlabs.com">team@mintplexlabs.com</a>.
</p>
<h2 class="text-white/80 text-base font-semibold">
9. California Privacy Rights
</h2>
<p>
Under the California Consumer Privacy Act as amended by the
California Privacy Rights Act (the CCPA), California residents
have additional rights beyond what is set out in this privacy
notice:
</p>
<ul>
<li>
<strong>Right to Know:</strong> You have the right to request
information about the categories and specific pieces of personal
information we have collected about you, as well as the
categories of sources from which the information is collected,
the purpose for collecting such information, and the categories
of third parties with whom we share personal information.
</li>
<li>
<strong>Right to Delete:</strong> You have the right to request
the deletion of your personal information, subject to certain
exceptions.
</li>
<li>
<strong>Right to Correct:</strong> You have the right to request
the correction of inaccurate personal information that we have
about you.
</li>
<li>
<strong>Right to Opt-Out:</strong> You have the right to opt-out
of the sale of your personal information. Note, however, that we
do not sell your personal information.
</li>
<li>
<strong>Right to Non-Discrimination:</strong> You have the right
not to receive discriminatory treatment for exercising any of
your CCPA rights.
</li>
</ul>
<p>
<strong>Submitting a Request:</strong>
<br />
You may submit a request to know, delete, or correct your personal
information by contacting us at{" "}
<a href="mailto:team@mintplexlabs.com">team@mintplexlabs.com</a>.
We will confirm your identity before processing your request and
respond within 45 days. If more time is needed, we will inform you
of the reason and extension period in writing. You may make a
request for your information twice every 12 months. If you are
making an erasure request, please include details of the
information you would like erased.
</p>
<p>
Please note that if you request that we remove your information,
we may retain some of the information for specific reasons, such
as to resolve disputes, troubleshoot problems, and as required by
law. Some information may not be completely removed from our
databases due to technical constraints and regular backups.
</p>
<p>
We will not discriminate against you for exercising any of your
CCPA rights.
</p>
<h2 class="text-white/80 text-base font-semibold">
10. Contact Us
</h2>
<p>
If you have any questions or concerns about this Privacy Policy,
please contact us at{" "}
<a href="mailto:team@mintplexlabs.com">team@mintplexlabs.com</a>.
</p>
<h2 class="text-white/80 text-base font-semibold">
11. Changes to This Privacy Policy
</h2>
<p>
We may update this Privacy Policy from time to time. We will
notify you of any changes by posting the new Privacy Policy on our
website. You are advised to review this Privacy Policy
periodically for any changes.
</p>
<p>
By using our services, you agree to the terms of this Privacy
Policy.
</p>
</div>
</div>
<button
onClick={handleAccept}
type="button"
className="mt-8 w-full py-2 text-center text-white hover:bg-primary-button border-none rounded-lg"
>
Agree and continue &rarr;
</button>
</div>
</div>
);
}

View File

@ -0,0 +1,188 @@
import FineTuningSteps from "..";
export default function TermsAndConditions({ setSettings, setStep }) {
const handleAccept = () => {
setSettings((prev) => {
return { ...prev, agreedToTerms: true };
});
setStep(FineTuningSteps.tos.next());
};
return (
<div className="flex-[2] flex flex-col gap-y-[18px] mt-10">
<div className="bg-[#303237] text-white rounded-xl flex-1 p-4">
<div className="w-full flex flex-col gap-y-4">
<h2 className="text-xl text-white font-semibold">
Terms and Conditions
</h2>
<p>
Please accept the terms and conditions to continue with creation and
ordering of a fine-tune model.
</p>
<div className="flex flex-col gap-y-2 text-white/75 text-sm border p-2 border-white rounded-lg font-mono h-[60vh] overflow-y-scroll">
<h1 className="text-white/80 text-lg font-semibold">
Mintplex Labs Inc. Fine-Tuning Terms of Service
</h1>
<p>
<strong>Last Updated:</strong> July 15, 2024
</p>
<p>
This Agreement is between Mintplex Labs Inc. ("Company") and the
customer ("Customer") accessing or using the services provided by
the Company. By signing up, accessing, or using the services,
Customer indicates its acceptance of this Agreement and agrees to
be bound by the terms and conditions outlined below.
</p>
<h2 className="text-white/80 text-base font-semibold">
1. Services Provided
</h2>
<p>
Mintplex Labs Inc. provides model fine-tuning services for
customers. The deliverable for these services is a download link
to the output ".GGUF" file that can be used by the Customer for
Large-Language text inferencing.
</p>
<h2 className="text-white/80 text-base font-semibold">
2. Payment Terms
</h2>
<ul>
<li>
<strong>One-Time Payment:</strong> A one-time payment is
required before the execution of the training.
</li>
<li>
<strong>Payment Due Date:</strong> Payment is due upon order
placement.
</li>
<li>
<strong>Refund Policy:</strong> Payments are refundable in the
event of training failure or if the Company fails to deliver the
complete model file to the Customer.
</li>
</ul>
<h2 className="text-white/80 text-base font-semibold">
3. Order Form
</h2>
<ul>
<li>
<strong>Service:</strong> Model fine-tuning
</li>
<li>
<strong>Payment Amount:</strong> As specified in the order form
</li>
<li>
<strong>Payment Due Date:</strong> Upon order placement
</li>
</ul>
<h2 className="text-white/80 text-base font-semibold">
4. Customer Responsibilities
</h2>
<p>
The Customer must provide all necessary data and information
required for model fine-tuning.
</p>
<p>
The Customer must ensure timely payment as per the terms mentioned
above.
</p>
<p>
The Customer understands the data collected for tuning will be
stored to a private cloud storage location temporarily while
training is in progress.
</p>
<p>
The Customer understands the data collected for tuning will be
fully deleted once the order is completed or canceled by the
Company.
</p>
<p>
The Customer understands and has reviewed the Privacy Policy for
Fine-Tuning by the Company.
</p>
<h2 className="text-white/80 text-base font-semibold">
5. Refund Policy
</h2>
<p>
Refunds will be processed in the event of training failure or if
the complete model file is not delivered to the Customer. Refunds
will be issued to the original payment method within 30 days of
the refund request.
</p>
<h2 className="text-white/80 text-base font-semibold">
6. Governing Law
</h2>
<p>
This Agreement shall be governed by and construed in accordance
with the laws of the State of California.
</p>
<h2 className="text-white/80 text-base font-semibold">
7. Dispute Resolution
</h2>
<p>
Any disputes arising out of or in connection with this Agreement
shall be resolved in the state or federal courts located in
California.
</p>
<h2 className="text-white/80 text-base font-semibold">
8. Notices
</h2>
<p>
All notices under this Agreement shall be in writing and shall be
deemed given when delivered personally, sent by confirmed email,
or sent by certified or registered mail, return receipt requested,
and addressed to the respective parties as follows:
</p>
<p>
For Company:{" "}
<a href="mailto:team@mintplexlabs.com">team@mintplexlabs.com</a>
</p>
<p>For Customer: The main email address on Customer's account</p>
<h2 className="text-white/80 text-base font-semibold">
9. Amendments
</h2>
<p>
The Company reserves the right to amend these terms at any time by
providing notice to the Customer. The Customer's continued use of
the services after such amendments will constitute acceptance of
the amended terms.
</p>
<h2 className="text-white/80 text-base font-semibold">
10. Indemnity
</h2>
<p>
The Customer agrees to indemnify, defend, and hold harmless
Mintplex Labs Inc., its affiliates, and their respective officers,
directors, employees, agents, and representatives from and against
any and all claims, liabilities, damages, losses, costs, expenses,
fees (including reasonable attorneys' fees and court costs) that
arise from or relate to: (a) the Customer's use of the services;
(b) any violation of this Agreement by the Customer; (c) any
breach of any representation, warranty, or covenant made by the
Customer; or (d) the Customer's violation of any rights of another
person or entity.
</p>
</div>
</div>
<button
onClick={handleAccept}
type="button"
className="mt-8 w-full py-2 text-center text-white hover:bg-primary-button border-none rounded-lg"
>
Agree and continue &rarr;
</button>
</div>
</div>
);
}

View File

@ -0,0 +1,148 @@
import { isMobile } from "react-device-detect";
import { useState } from "react";
import Sidebar from "@/components/Sidebar";
import Introduction from "./Introduction";
import PrivacyPolicy from "./Privacy";
import TermsAndConditions from "./TermsAndConditions";
import Fulfillment from "./FulfillmentPolicy";
import OrderDetails from "./OrderDetails";
import DataUpload from "./DataUpload";
import Confirmation from "./Confirmation";
import OrderPlaced from "./OrderPlaced";
/**
* @typedef OrderSettings
* @property {string} email
* @property {string} baseModel
* @property {string} modelName
* @property {boolean} agreedToTerms
* @property {boolean} agreedToPrivacy
* @property {string} modelName
* @property {string|null} checkoutUrl
* @property {string|null} jobId
* @property {{slugs: string[], feedback: boolean|null}} trainingData
* @property {{pricing: {usd: number}, availableBaseModels: string[]}} tuningInfo
*/
const FineTuningSteps = {
intro: {
name: "Introduction to Fine-Tuning",
next: () => "privacy",
component: ({ settings, setSettings, setStep }) => (
<Introduction
settings={settings}
setSettings={setSettings}
setStep={setStep}
/>
),
},
privacy: {
name: "How your data is handled",
next: () => "tos",
component: ({ settings, setSettings, setStep }) => (
<PrivacyPolicy
settings={settings}
setSettings={setSettings}
setStep={setStep}
/>
),
},
tos: {
name: "Terms of service",
next: () => "fulfillment",
component: ({ settings, setSettings, setStep }) => (
<TermsAndConditions
settings={settings}
setSettings={setSettings}
setStep={setStep}
/>
),
},
fulfillment: {
name: "Fulfillment terms",
next: () => "order-details",
component: ({ settings, setSettings, setStep }) => (
<Fulfillment
settings={settings}
setSettings={setSettings}
setStep={setStep}
/>
),
},
"order-details": {
name: "Model details & information",
next: () => "data-selection",
component: ({ settings, setSettings, setStep }) => (
<OrderDetails
settings={settings}
setSettings={setSettings}
setStep={setStep}
/>
),
},
"data-selection": {
name: "Data selection",
next: () => "confirmation",
component: ({ settings, setSettings, setStep }) => (
<DataUpload
settings={settings}
setSettings={setSettings}
setStep={setStep}
/>
),
},
confirmation: {
name: "Review and Submit",
next: () => "done",
component: ({ settings, setSettings, setStep }) => (
<Confirmation
settings={settings}
setSettings={setSettings}
setStep={setStep}
/>
),
},
done: {
name: "Order placed",
next: () => "done",
component: ({ settings }) => <OrderPlaced settings={settings} />,
},
};
export function FineTuningCreationLayout({ setStep, children }) {
const [settings, setSettings] = useState({
email: null,
baseModel: null,
modelName: null,
agreedToTerms: false,
agreedToPrivacy: false,
data: {
workspaceSlugs: [],
feedback: false,
},
tuningInfo: {
pricing: {
usd: 0.0,
},
availableBaseModels: [],
},
checkoutUrl: null,
jobId: null,
});
return (
<div
id="fine-tune-create-order-container"
className="w-screen h-screen overflow-y-auto bg-sidebar flex"
>
<Sidebar />
<div
style={{ height: isMobile ? "100%" : "calc(100% - 32px)" }}
className="relative md:ml-[2px] md:mr-[16px] md:my-[16px] md:rounded-[16px] w-full h-full flex"
>
{children(settings, setSettings, setStep)}
</div>
</div>
);
}
export default FineTuningSteps;

View File

@ -0,0 +1,70 @@
import React, { useState } from "react";
import FineTuningSteps, { FineTuningCreationLayout } from "./Steps";
import { CheckCircle, Circle, Sparkle } from "@phosphor-icons/react";
import { isMobile } from "react-device-detect";
function SideBarSelection({ currentStep }) {
const currentIndex = Object.keys(FineTuningSteps).indexOf(currentStep);
return (
<div
className={`bg-white/5 text-white rounded-xl ${
isMobile ? "w-full" : "min-w-[360px] w-fit"
}`}
>
{Object.entries(FineTuningSteps).map(([stepKey, props], index) => {
const isSelected = currentStep === stepKey;
const isLast = index === Object.keys(FineTuningSteps).length - 1;
const isDone =
currentIndex === Object.keys(FineTuningSteps).length - 1 ||
index < currentIndex;
return (
<div
key={stepKey}
className={[
"py-3 px-4 flex items-center justify-between transition-all duration-300",
isSelected ? "rounded-t-xl" : "",
isLast ? "" : "border-b border-white/10",
].join(" ")}
>
<div className="text-sm font-light">{props.name}</div>
<div className="flex items-center gap-x-2">
{isDone ? (
<CheckCircle className={`text-green-300`} />
) : (
<Circle
className={`text-white-800 ${
isSelected ? "animate-pulse" : "opacity-10"
}`}
/>
)}
</div>
</div>
);
})}
</div>
);
}
export default function FineTuningFlow() {
const [step, setStep] = useState("intro");
const StepPage = FineTuningSteps.hasOwnProperty(step)
? FineTuningSteps[step]
: FineTuningSteps.intro;
return (
<FineTuningCreationLayout setStep={setStep}>
{(settings, setSettings, setStep) => (
<div className="flex-1 flex gap-x-6 p-4 mt-10">
<div className="flex flex-col gap-y-[18px]">
<div className="text-white flex items-center gap-x-2">
<Sparkle size={24} />
<p className="text-lg font-medium">Custom Fine-Tuned Model</p>
</div>
<SideBarSelection currentStep={step} />
</div>
{StepPage.component({ settings, setSettings, setStep })}
</div>
)}
</FineTuningCreationLayout>
);
}

View File

@ -7,9 +7,10 @@ import useQuery from "@/hooks/useQuery";
import ChatRow from "./ChatRow";
import showToast from "@/utils/toast";
import System from "@/models/system";
import { CaretDown, Download, Trash } from "@phosphor-icons/react";
import { CaretDown, Download, Sparkle, Trash } from "@phosphor-icons/react";
import { saveAs } from "file-saver";
import { useTranslation } from "react-i18next";
import paths from "@/utils/paths";
const exportOptions = {
csv: {
@ -159,13 +160,22 @@ export default function WorkspaceChats() {
</div>
</div>
{chats.length > 0 && (
<button
onClick={handleClearAllChats}
className="flex items-center gap-x-2 px-4 py-1 border hover:border-transparent border-white/40 text-white/40 rounded-lg bg-transparent hover:text-white text-xs font-semibold hover:bg-red-500 shadow-[0_4px_14px_rgba(0,0,0,0.25)] h-[34px] w-fit"
>
<Trash size={18} weight="bold" />
Clear Chats
</button>
<>
<button
onClick={handleClearAllChats}
className="flex items-center gap-x-2 px-4 py-1 border hover:border-transparent border-white/40 text-white/40 rounded-lg bg-transparent hover:text-white text-xs font-semibold hover:bg-red-500 shadow-[0_4px_14px_rgba(0,0,0,0.25)] h-[34px] w-fit"
>
<Trash size={18} weight="bold" />
Clear Chats
</button>
<a
href={paths.orderFineTune()}
className="flex items-center gap-x-2 px-4 py-1 border hover:border-transparent border-yellow-300 text-yellow-300/80 rounded-lg bg-transparent hover:text-white text-xs font-semibold hover:bg-yellow-300/75 shadow-[0_4px_14px_rgba(0,0,0,0.25)] h-[34px] w-fit"
>
<Sparkle size={18} weight="bold" />
Order Fine-Tune Model
</a>
</>
)}
</div>
<p className="text-xs leading-[18px] font-base text-white text-opacity-60">

View File

@ -54,7 +54,7 @@ https://github.com/Mintplex-Labs/anything-llm/tree/master/embed/README.md
data-base-api-url="${serverHost}/api/embed"
src="${scriptHost}/embed/anythingllm-chat-widget.min.js">
</script>
<!-- AnythingLLM (https://useanything.com) -->
<!-- AnythingLLM (https://anythingllm.com) -->
`;
}

View File

@ -270,7 +270,7 @@ export const PermittedDomains = ({ defaultValue = [] }) => {
<TagsInput
value={domains}
onChange={handleChange}
placeholder="https://mysite.com, https://useanything.com"
placeholder="https://mysite.com, https://anythingllm.com"
classNames={{
tag: "bg-blue-300/10 text-zinc-800 m-1",
input:

View File

@ -5,6 +5,7 @@ import PasswordModal, { usePasswordModal } from "@/components/Modals/Password";
import { isMobile } from "react-device-detect";
import { FullScreenLoader } from "@/components/Preloader";
import UserMenu from "@/components/UserMenu";
import { FineTuningAlert } from "../FineTuning/Banner";
export default function Main() {
const { loading, requiresAuth, mode } = usePasswordModal();
@ -15,11 +16,14 @@ export default function Main() {
}
return (
<UserMenu>
<div className="w-screen h-screen overflow-hidden bg-sidebar flex">
{!isMobile && <Sidebar />}
<DefaultChatContainer />
</div>
</UserMenu>
<>
<UserMenu>
<div className="w-screen h-screen overflow-hidden bg-sidebar flex">
{!isMobile && <Sidebar />}
<DefaultChatContainer />
</div>
</UserMenu>
<FineTuningAlert />
</>
);
}

View File

@ -6,6 +6,7 @@ import Workspace from "@/models/workspace";
import PasswordModal, { usePasswordModal } from "@/components/Modals/Password";
import { isMobile } from "react-device-detect";
import { FullScreenLoader } from "@/components/Preloader";
import { FineTuningAlert } from "../FineTuning/Banner";
export default function WorkspaceChat() {
const { loading, requiresAuth, mode } = usePasswordModal();
@ -44,9 +45,12 @@ function ShowWorkspaceChat() {
}, []);
return (
<div className="w-screen h-screen overflow-hidden bg-sidebar flex">
{!isMobile && <Sidebar />}
<WorkspaceChatContainer loading={loading} workspace={workspace} />
</div>
<>
<div className="w-screen h-screen overflow-hidden bg-sidebar flex">
{!isMobile && <Sidebar />}
<WorkspaceChatContainer loading={loading} workspace={workspace} />
</div>
<FineTuningAlert />
</>
);
}

View File

@ -40,7 +40,7 @@ export default {
return "https://discord.com/invite/6UyHPeGZAC";
},
docs: () => {
return "https://docs.useanything.com";
return "https://docs.anythingllm.com";
},
mailToMintplex: () => {
return "mailto:team@mintplexlabs.com";
@ -76,6 +76,9 @@ export default {
apiDocs: () => {
return `${API_BASE}/docs`;
},
orderFineTune: () => {
return `/fine-tuning`;
},
settings: {
system: () => {
return `/settings/system-preferences`;

View File

@ -1,7 +1,7 @@
<a name="readme-top"></a>
<p align="center">
<a href="https://useanything.com"><img src="https://github.com/Mintplex-Labs/anything-llm/blob/master/images/wordmark.png?raw=true" alt="AnythingLLM logo"></a>
<a href="https://anythingllm.com"><img src="https://github.com/Mintplex-Labs/anything-llm/blob/master/images/wordmark.png?raw=true" alt="AnythingLLM logo"></a>
</p>
<div align='center'>
@ -20,7 +20,7 @@
<a href="https://github.com/Mintplex-Labs/anything-llm/blob/master/LICENSE" target="_blank">
<img src="https://img.shields.io/static/v1?label=license&message=MIT&color=white" alt="ライセンス">
</a> |
<a href="https://docs.useanything.com" target="_blank">
<a href="https://docs.anythingllm.com" target="_blank">
ドキュメント
</a> |
<a href="https://my.mintplexlabs.com/aio-checkout?product=anythingllm" target="_blank">
@ -33,7 +33,7 @@
</p>
<p align="center">
👉 デスクトップ用AnythingLLMMac、Windows、Linux対応<a href="https://useanything.com/download" target="_blank">今すぐダウンロード</a>
👉 デスクトップ用AnythingLLMMac、Windows、Linux対応<a href="https://anythingllm.com/download" target="_blank">今すぐダウンロード</a>
</p>
これは、任意のドキュメント、リソース、またはコンテンツの断片を、チャット中にLLMが参照として使用できるコンテキストに変換できるフルスタックアプリケーションです。このアプリケーションを使用すると、使用するLLMまたはベクトルデータベースを選択し、マルチユーザー管理と権限をサポートできます。

View File

@ -1,7 +1,7 @@
<a name="readme-top"></a>
<p align="center">
<a href="https://useanything.com"><img src="https://github.com/Mintplex-Labs/anything-llm/blob/master/images/wordmark.png?raw=true" alt="AnythingLLM logo"></a>
<a href="https://anythingllm.com"><img src="https://github.com/Mintplex-Labs/anything-llm/blob/master/images/wordmark.png?raw=true" alt="AnythingLLM logo"></a>
</p>
<p align="center">
@ -16,7 +16,7 @@
<a href="https://github.com/Mintplex-Labs/anything-llm/blob/master/LICENSE" target="_blank">
<img src="https://img.shields.io/static/v1?label=license&message=MIT&color=white" alt="许可证">
</a> |
<a href="https://docs.useanything.com" target="_blank">
<a href="https://docs.anythingllm.com" target="_blank">
文档
</a> |
<a href="https://my.mintplexlabs.com/aio-checkout?product=anythingllm" target="_blank">
@ -25,11 +25,11 @@
</p>
<p align="center">
<a href='../README.md'>English</a> · <b>简体中文</b> · <a href='./README.ja-JP.md'>简体中文</a>
<a href='../README.md'>English</a> · <b>简体中文</b> · <a href='./README.ja-JP.md'>日本語</a>
</p>
<p align="center">
👉 适用于桌面Mac、Windows和Linux的AnythingLLM<a href="https://useanything.com/download" target="_blank">立即下载</a>
👉 适用于桌面Mac、Windows和Linux的AnythingLLM<a href="https://anythingllm.com/download" target="_blank">立即下载</a>
</p>
这是一个全栈应用程序可以将任何文档、资源如网址链接、音频、视频或内容片段转换为上下文以便任何大语言模型LLM在聊天期间作为参考使用。此应用程序允许您选择使用哪个LLM或向量数据库同时支持多用户管理并设置不同权限。

View File

@ -137,7 +137,7 @@ function apiDocumentEndpoints(app) {
schema: {
type: 'object',
example: {
"link": "https://useanything.com"
"link": "https://anythingllm.com"
}
}
}
@ -159,7 +159,7 @@ function apiDocumentEndpoints(app) {
"docAuthor": "no author found",
"description": "No description found.",
"docSource": "URL link uploaded by the user.",
"chunkSource": "https:useanything.com.html",
"chunkSource": "https:anythingllm.com.html",
"published": "1/16/2024, 3:46:33PM",
"wordCount": 252,
"pageContent": "AnythingLLM is the best....",
@ -237,6 +237,7 @@ function apiDocumentEndpoints(app) {
example: {
"textContent": "This is the raw text that will be saved as a document in AnythingLLM.",
"metadata": {
"title": "This key is required. See in /server/endpoints/api/document/index.js:287",
keyOne: "valueOne",
keyTwo: "valueTwo",
etc: "etc"

View File

@ -0,0 +1,108 @@
const { FineTuning } = require("../../models/fineTuning");
const { Telemetry } = require("../../models/telemetry");
const { WorkspaceChats } = require("../../models/workspaceChats");
const { reqBody } = require("../../utils/http");
const {
flexUserRoleValid,
ROLES,
} = require("../../utils/middleware/multiUserProtected");
const { validatedRequest } = require("../../utils/middleware/validatedRequest");
function fineTuningEndpoints(app) {
if (!app) return;
app.get(
"/experimental/fine-tuning/check-eligible",
[validatedRequest, flexUserRoleValid([ROLES.admin])],
async (_request, response) => {
try {
const chatCount = await WorkspaceChats.count();
response
.status(200)
.json({ eligible: chatCount >= FineTuning.recommendedMinDataset });
} catch (e) {
console.error(e);
response.status(500).end();
}
}
);
app.get(
"/experimental/fine-tuning/info",
[validatedRequest, flexUserRoleValid([ROLES.admin])],
async (_request, response) => {
try {
const fineTuningInfo = await FineTuning.getInfo();
await Telemetry.sendTelemetry("fine_tuning_interest", {
step: "information",
});
response.status(200).json(fineTuningInfo);
} catch (e) {
console.error(e);
response.status(500).end();
}
}
);
app.post(
"/experimental/fine-tuning/dataset",
[validatedRequest, flexUserRoleValid([ROLES.admin])],
async (request, response) => {
try {
const { slugs = [], feedback = null } = reqBody(request);
if (!Array.isArray(slugs) || slugs.length === 0) {
return response.status(200).json({
count: 0,
recommendedMin: FineTuning.recommendedMinDataset,
});
}
const count = await FineTuning.datasetSize(slugs, feedback);
await Telemetry.sendTelemetry("fine_tuning_interest", {
step: "uploaded_dataset",
});
response
.status(200)
.json({ count, recommendedMin: FineTuning.recommendedMinDataset });
} catch (e) {
console.error(e);
response.status(500).end();
}
}
);
app.post(
"/experimental/fine-tuning/order",
[validatedRequest, flexUserRoleValid([ROLES.admin])],
async (request, response) => {
try {
const { email, baseModel, modelName, trainingData } = reqBody(request);
if (
!email ||
!baseModel ||
!modelName ||
!trainingData ||
!trainingData?.slugs.length
)
throw new Error("Invalid order details");
const { jobId, checkoutUrl } = await FineTuning.newOrder({
email,
baseModel,
modelName,
trainingData,
});
await Telemetry.sendTelemetry("fine_tuning_interest", {
step: "created_order",
jobId,
});
response.status(200).json({ jobId, checkoutUrl });
} catch (e) {
console.error(e);
response.status(500).end();
}
}
);
}
module.exports = { fineTuningEndpoints };

View File

@ -1,3 +1,4 @@
const { fineTuningEndpoints } = require("./fineTuning");
const { liveSyncEndpoints } = require("./liveSync");
// All endpoints here are not stable and can move around - have breaking changes
@ -5,6 +6,7 @@ const { liveSyncEndpoints } = require("./liveSync");
// When a feature is promoted it should be removed from here and added to the appropriate scope.
function experimentalEndpoints(router) {
liveSyncEndpoints(router);
fineTuningEndpoints(router);
}
module.exports = { experimentalEndpoints };

222
server/models/fineTuning.js Normal file
View File

@ -0,0 +1,222 @@
const { default: slugify } = require("slugify");
const { safeJsonParse } = require("../utils/http");
const { Telemetry } = require("./telemetry");
const { Workspace } = require("./workspace");
const { WorkspaceChats } = require("./workspaceChats");
const fs = require("fs");
const path = require("path");
const { v4: uuidv4 } = require("uuid");
const tmpStorage =
process.env.NODE_ENV === "development"
? path.resolve(__dirname, `../storage/tmp`)
: path.resolve(
process.env.STORAGE_DIR ?? path.resolve(__dirname, `../storage`),
`tmp`
);
const FineTuning = {
API_BASE:
process.env.NODE_ENV === "development"
? process.env.FINE_TUNING_ORDER_API
: "https://finetuning-wxich7363q-uc.a.run.app",
recommendedMinDataset: 50,
standardPrompt:
"Given the following conversation, relevant context, and a follow up question, reply with an answer to the current question the user is asking. Return only your response to the question given the above information following the users instructions as needed.",
/**
* Get the information for the Fine-tuning product to display in various frontends
* @returns {Promise<{
* productDetails: {
* name: string,
* description: string,
* icon: string,
* active: boolean,
* },
* pricing: {
* usd: number,
* },
* availableBaseModels: string[]
* }>}
*/
getInfo: async function () {
return fetch(`${this.API_BASE}/info`, {
method: "GET",
headers: {
Accepts: "application/json",
},
})
.then((res) => {
if (!res.ok)
throw new Error("Could not fetch fine-tuning information endpoint");
return res.json();
})
.catch((e) => {
console.error(e);
return null;
});
},
/**
* Get the Dataset size for a training set.
* @param {string[]} workspaceSlugs
* @param {boolean|null} feedback
* @returns {Promise<number>}
*/
datasetSize: async function (workspaceSlugs = [], feedback = null) {
const workspaceIds = await Workspace.where({
slug: {
in: workspaceSlugs.map((slug) => String(slug)),
},
}).then((results) => results.map((res) => res.id));
const count = await WorkspaceChats.count({
workspaceId: {
in: workspaceIds,
},
...(feedback === true ? { feedback: 1 } : {}),
});
return count;
},
_writeToTempStorage: function (data) {
const tmpFilepath = path.resolve(tmpStorage, `${uuidv4()}.json`);
if (!fs.existsSync(tmpStorage))
fs.mkdirSync(tmpStorage, { recursive: true });
fs.writeFileSync(tmpFilepath, JSON.stringify(data, null, 4));
return tmpFilepath;
},
_rmTempDatafile: function (datafileLocation) {
if (!datafileLocation || !fs.existsSync(datafileLocation)) return;
fs.rmSync(datafileLocation);
},
_uploadDatafile: async function (datafileLocation, uploadConfig) {
try {
const fileBuffer = fs.readFileSync(datafileLocation);
const formData = new FormData();
Object.entries(uploadConfig.fields).forEach(([key, value]) =>
formData.append(key, value)
);
formData.append("file", fileBuffer);
const response = await fetch(uploadConfig.url, {
method: "POST",
body: formData,
});
console.log("File upload returned code:", response.status);
return true;
} catch (error) {
console.error("Error uploading file:", error.message);
return false;
}
},
_buildSystemPrompt: function (chat, prompt = null) {
const sources = safeJsonParse(chat.response)?.sources || [];
const contextTexts = sources.map((source) => source.text);
const context =
sources.length > 0
? "\nContext:\n" +
contextTexts
.map((text, i) => {
return `[CONTEXT ${i}]:\n${text}\n[END CONTEXT ${i}]\n\n`;
})
.join("")
: "";
return `${prompt ?? this.standardPrompt}${context}`;
},
_createTempDataFile: async function ({ slugs, feedback }) {
const workspacePromptMap = {};
const workspaces = await Workspace.where({
slug: {
in: slugs.map((slug) => String(slug)),
},
});
workspaces.forEach((ws) => {
workspacePromptMap[ws.id] = ws.openAiPrompt ?? this.standardPrompt;
});
const chats = await WorkspaceChats.whereWithData({
workspaceId: {
in: workspaces.map((ws) => ws.id),
},
...(feedback === true ? { feedback: 1 } : {}),
});
const preparedData = chats.map((chat) => {
const responseJson = safeJsonParse(chat.response);
return {
instruction: this._buildSystemPrompt(
chat,
workspacePromptMap[chat.workspaceId]
),
input: chat.prompt,
output: responseJson.text,
};
});
const tmpFile = this._writeToTempStorage(preparedData);
return tmpFile;
},
/**
* Generate fine-tune order request
* @param {object} data
* @returns {Promise<{jobId:string, uploadParams: object, configReady: boolean, checkoutUrl:string}>}
*/
_requestOrder: async function (data = {}) {
return await fetch(`${this.API_BASE}/order/new`, {
method: "POST",
headers: {
"Content-Type": "application/json",
Accepts: "application/json",
},
body: JSON.stringify(data),
})
.then((res) => {
if (!res.ok) throw new Error("Could not create fine-tune order");
return res.json();
})
.catch((e) => {
console.error(e);
return {
jobId: null,
uploadParams: null,
configReady: null,
checkoutUrl: null,
};
});
},
/**
* Sanitizes the slugifies the model name to prevent issues during processing.
* only a-zA-Z0-9 are okay for model names. If name is totally invalid it becomes a uuid.
* @param {string} modelName - provided model name
* @returns {string}
*/
_cleanModelName: function (modelName = "") {
if (!modelName) return uuidv4();
const sanitizedName = modelName.replace(/[^a-zA-Z0-9]/g, " ");
return slugify(sanitizedName);
},
newOrder: async function ({ email, baseModel, modelName, trainingData }) {
const datafileLocation = await this._createTempDataFile(trainingData);
const order = await this._requestOrder({
email,
baseModel,
modelName: this._cleanModelName(modelName),
orderExtras: { platform: Telemetry.runtime() },
});
const uploadComplete = await this._uploadDatafile(
datafileLocation,
order.uploadParams
);
if (!uploadComplete)
throw new Error("Data file upload failed. Order could not be created.");
this._rmTempDatafile(datafileLocation);
return { jobId: order.jobId, checkoutUrl: order.checkoutUrl };
},
};
module.exports = { FineTuning };

View File

@ -416,6 +416,7 @@ const SystemSettings = {
OllamaLLMBasePath: process.env.OLLAMA_BASE_PATH,
OllamaLLMModelPref: process.env.OLLAMA_MODEL_PREF,
OllamaLLMTokenLimit: process.env.OLLAMA_MODEL_TOKEN_LIMIT,
OllamaLLMKeepAliveSeconds: process.env.OLLAMA_KEEP_ALIVE_TIMEOUT ?? 300,
// TogetherAI Keys
TogetherAiApiKey: !!process.env.TOGETHER_AI_API_KEY,

View File

@ -903,7 +903,7 @@
"docAuthor": "no author found",
"description": "No description found.",
"docSource": "URL link uploaded by the user.",
"chunkSource": "https:useanything.com.html",
"chunkSource": "https:anythingllm.com.html",
"published": "1/16/2024, 3:46:33PM",
"wordCount": 252,
"pageContent": "AnythingLLM is the best....",
@ -944,7 +944,7 @@
"schema": {
"type": "object",
"example": {
"link": "https://useanything.com"
"link": "https://anythingllm.com"
}
}
}
@ -1023,6 +1023,7 @@
"example": {
"textContent": "This is the raw text that will be saved as a document in AnythingLLM.",
"metadata": {
"title": "This key is required. See in /server/endpoints/api/document/index.js:287",
"keyOne": "valueOne",
"keyTwo": "valueTwo",
"etc": "etc"

View File

@ -13,6 +13,9 @@ class OllamaAILLM {
this.basePath = process.env.OLLAMA_BASE_PATH;
this.model = modelPreference || process.env.OLLAMA_MODEL_PREF;
this.keepAlive = process.env.OLLAMA_KEEP_ALIVE_TIMEOUT
? Number(process.env.OLLAMA_KEEP_ALIVE_TIMEOUT)
: 300; // Default 5-minute timeout for Ollama model loading.
this.limits = {
history: this.promptWindowLimit() * 0.15,
system: this.promptWindowLimit() * 0.15,
@ -28,6 +31,7 @@ class OllamaAILLM {
return new ChatOllama({
baseUrl: this.basePath,
model: this.model,
keepAlive: this.keepAlive,
useMLock: true,
temperature,
});

View File

@ -24,7 +24,7 @@ class OpenRouterLLM {
baseURL: this.basePath,
apiKey: process.env.OPENROUTER_API_KEY ?? null,
defaultHeaders: {
"HTTP-Referer": "https://useanything.com",
"HTTP-Referer": "https://anythingllm.com",
"X-Title": "AnythingLLM",
},
});

View File

@ -19,8 +19,8 @@ const webScraping = {
"Scrapes the content of a webpage or online resource from a provided URL.",
examples: [
{
prompt: "What is useanything.com about?",
call: JSON.stringify({ url: "https://useanything.com" }),
prompt: "What is anythingllm.com about?",
call: JSON.stringify({ url: "https://anythingllm.com" }),
},
{
prompt: "Scrape https://example.com",

View File

@ -78,7 +78,7 @@ class Provider {
configuration: {
baseURL: "https://openrouter.ai/api/v1",
defaultHeaders: {
"HTTP-Referer": "https://useanything.com",
"HTTP-Referer": "https://anythingllm.com",
"X-Title": "AnythingLLM",
},
},

View File

@ -17,7 +17,7 @@ class OpenRouterProvider extends InheritMultiple([Provider, UnTooled]) {
apiKey: process.env.OPENROUTER_API_KEY,
maxRetries: 3,
defaultHeaders: {
"HTTP-Referer": "https://useanything.com",
"HTTP-Referer": "https://anythingllm.com",
"X-Title": "AnythingLLM",
},
});

View File

@ -67,7 +67,7 @@ class MetaGenerator {
{ tag: "meta", props: { property: "og:type", content: "website" } },
{
tag: "meta",
props: { property: "og:url", content: "https://useanything.com" },
props: { property: "og:url", content: "https://anythingllm.com" },
},
{
tag: "meta",
@ -99,7 +99,7 @@ class MetaGenerator {
},
{
tag: "meta",
props: { property: "twitter:url", content: "https://useanything.com" },
props: { property: "twitter:url", content: "https://anythingllm.com" },
},
{
tag: "meta",

View File

@ -19,8 +19,13 @@ class TokenManager {
// https://github.com/openai/tiktoken/blob/9e79899bc248d5313c7dd73562b5e211d728723d/tiktoken/core.py#L91C20-L91C38
// Returns number[]
tokensFromString(input = "") {
const tokens = this.encoder.encode(input, undefined, []);
return tokens;
try {
const tokens = this.encoder.encode(String(input), undefined, []);
return tokens;
} catch (e) {
console.error(e);
return [];
}
}
bytesFromTokens(tokens = []) {

View File

@ -101,6 +101,10 @@ const KEY_MAPPING = {
envKey: "OLLAMA_MODEL_TOKEN_LIMIT",
checks: [nonZero],
},
OllamaLLMKeepAliveSeconds: {
envKey: "OLLAMA_KEEP_ALIVE_TIMEOUT",
checks: [isInteger],
},
// Mistral AI API Settings
MistralApiKey: {
@ -454,6 +458,11 @@ function nonZero(input = "") {
return Number(input) <= 0 ? "Value must be greater than zero" : null;
}
function isInteger(input = "") {
if (isNaN(Number(input))) return "Value must be a number";
return Number(input);
}
function isValidURL(input = "") {
try {
new URL(input);