anything-llm/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/EmbeddingSelection/index.jsx

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import React, { memo, useEffect, useState } from "react";
import OpenAiLogo from "../../../../../media/llmprovider/openai.png";
import AzureOpenAiLogo from "../../../../../media/llmprovider/azure.png";
import LocalAiLogo from "../../../../../media/llmprovider/localai.png";
import System from "../../../../../models/system";
import PreLoader from "../../../../../components/Preloader";
import LLMProviderOption from "../../../../../components/LLMSelection/LLMProviderOption";
function EmbeddingSelection({ nextStep, prevStep, currentStep }) {
const [embeddingChoice, setEmbeddingChoice] = useState("openai");
const [settings, setSettings] = useState(null);
const [loading, setLoading] = useState(true);
const [basePathValue, setBasePathValue] = useState("");
const [basePath, setBasePath] = useState("");
const updateChoice = (selection) => {
setEmbeddingChoice(selection);
};
function updateBasePath() {
setBasePath(basePathValue);
}
useEffect(() => {
async function fetchKeys() {
const _settings = await System.keys();
setSettings(_settings);
setEmbeddingChoice(_settings?.EmbeddingEngine || "openai");
setBasePathValue(_settings?.EmbeddingBasePath || "");
setLoading(false);
}
fetchKeys();
}, [currentStep]);
const handleSubmit = async (e) => {
e.preventDefault();
const form = e.target;
const data = {};
const formData = new FormData(form);
for (var [key, value] of formData.entries()) data[key] = value;
const { error } = await System.updateSystem(data);
if (error) {
alert(`Failed to save LLM settings: ${error}`, "error");
return;
}
nextStep("vector_database");
return;
};
if (loading)
return (
<div className="w-full h-full flex justify-center items-center p-20">
<PreLoader />
</div>
);
return (
<div className="w-full">
<form onSubmit={handleSubmit} className="flex flex-col w-full">
<div className="flex flex-col w-full px-1 md:px-8 py-12">
<div className="text-white text-sm font-medium pb-4">
Embedding Provider
</div>
<div className="w-full flex md:flex-wrap overflow-x-scroll gap-4 max-w-[900px]">
<input
hidden={true}
name="EmbeddingEngine"
value={embeddingChoice}
/>
<LLMProviderOption
name="OpenAI"
value="openai"
link="openai.com"
description="The standard option for most non-commercial use. Provides both chat and embedding."
checked={embeddingChoice === "openai"}
image={OpenAiLogo}
onClick={updateChoice}
/>
<LLMProviderOption
name="Azure OpenAI"
value="azure"
link="azure.microsoft.com"
description="The enterprise option of OpenAI hosted on Azure services. Provides both chat and embedding."
checked={embeddingChoice === "azure"}
image={AzureOpenAiLogo}
onClick={updateChoice}
/>
<LLMProviderOption
name="LocalAI"
value="localai"
link="localai.io"
description="Self hosted LocalAI embedding engine."
checked={embeddingChoice === "localai"}
image={LocalAiLogo}
onClick={updateChoice}
/>
</div>
<div className="mt-10 flex flex-wrap gap-4 max-w-[800px]">
{embeddingChoice === "openai" && (
<>
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-4">
API Key
</label>
<input
type="password"
name="OpenAiKey"
className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
placeholder="OpenAI API Key"
defaultValue={settings?.OpenAiKey ? "*".repeat(20) : ""}
required={true}
autoComplete="off"
spellCheck={false}
/>
</div>
</>
)}
{embeddingChoice === "azure" && (
<>
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-4">
Azure Service Endpoint
</label>
<input
type="url"
name="AzureOpenAiEndpoint"
className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
placeholder="https://my-azure.openai.azure.com"
defaultValue={settings?.AzureOpenAiEndpoint}
required={true}
autoComplete="off"
spellCheck={false}
/>
</div>
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-4">
API Key
</label>
<input
type="password"
name="AzureOpenAiKey"
className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
placeholder="Azure OpenAI API Key"
defaultValue={
settings?.AzureOpenAiKey ? "*".repeat(20) : ""
}
required={true}
autoComplete="off"
spellCheck={false}
/>
</div>
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-4">
Embedding Deployment Name
</label>
<input
type="text"
name="AzureOpenAiEmbeddingModelPref"
className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
placeholder="Azure OpenAI embedding model deployment name"
defaultValue={settings?.AzureOpenAiEmbeddingModelPref}
required={true}
autoComplete="off"
spellCheck={false}
/>
</div>
</>
)}
{embeddingChoice === "localai" && (
<>
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-4">
LocalAI Base URL
</label>
<input
type="url"
name="EmbeddingBasePath"
className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
placeholder="http://localhost:8080/v1"
defaultValue={settings?.EmbeddingBasePath}
onChange={(e) => setBasePathValue(e.target.value)}
onBlur={updateBasePath}
required={true}
autoComplete="off"
spellCheck={false}
/>
</div>
<LocalAIModelSelection
settings={settings}
basePath={basePath}
/>
</>
)}
</div>
</div>
<div className="flex w-full justify-between items-center p-6 space-x-2 border-t rounded-b border-gray-500/50">
<button
onClick={prevStep}
type="button"
className="px-4 py-2 rounded-lg text-white hover:bg-sidebar"
>
Back
</button>
<button
type="submit"
className="border border-slate-200 px-4 py-2 rounded-lg text-slate-800 bg-slate-200 text-sm items-center flex gap-x-2 hover:text-white hover:bg-transparent focus:ring-gray-800 font-semibold shadow"
>
Continue
</button>
</div>
</form>
</div>
);
}
function LocalAIModelSelection({ settings, basePath = null }) {
const [customModels, setCustomModels] = useState([]);
const [loading, setLoading] = useState(true);
useEffect(() => {
async function findCustomModels() {
if (!basePath || !basePath.includes("/v1")) {
setCustomModels([]);
setLoading(false);
return;
}
setLoading(true);
const { models } = await System.customModels("localai", null, basePath);
setCustomModels(models || []);
setLoading(false);
}
findCustomModels();
}, [basePath]);
if (loading || customModels.length == 0) {
return (
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-4">
Embedding Model Name
</label>
<select
name="EmbeddingModelPref"
disabled={true}
className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
>
<option disabled={true} selected={true}>
{basePath?.includes("/v1")
? "-- loading available models --"
: "-- waiting for URL --"}
</option>
</select>
</div>
);
}
return (
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-4">
Embedding Model Name
</label>
<select
name="EmbeddingModelPref"
required={true}
className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
>
{customModels.length > 0 && (
<optgroup label="Your loaded models">
{customModels.map((model) => {
return (
<option
key={model.id}
value={model.id}
selected={settings.EmbeddingModelPref === model.id}
>
{model.id}
</option>
);
})}
</optgroup>
)}
</select>
</div>
);
}
export default memo(EmbeddingSelection);