Files
anything-llm/frontend/src/pages/OnboardingFlow/Steps/LLMPreference/index.jsx
Timothy Carambat 80565d79e0 2488 novita ai llm integration (#2582)
* feat: add new model provider: Novita AI

* feat: finished novita AI

* fix: code lint

* remove unneeded logging

* add back log for novita stream not self closing

* Clarify ENV vars for LLM/embedder seperation for future
Patch ENV check for workspace/agent provider

---------

Co-authored-by: Jason <ggbbddjm@gmail.com>
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
2024-11-04 11:34:29 -08:00

370 lines
13 KiB
JavaScript

import { MagnifyingGlass } from "@phosphor-icons/react";
import { useEffect, useState, useRef } from "react";
import OpenAiLogo from "@/media/llmprovider/openai.png";
import GenericOpenAiLogo from "@/media/llmprovider/generic-openai.png";
import AzureOpenAiLogo from "@/media/llmprovider/azure.png";
import AnthropicLogo from "@/media/llmprovider/anthropic.png";
import GeminiLogo from "@/media/llmprovider/gemini.png";
import OllamaLogo from "@/media/llmprovider/ollama.png";
import LMStudioLogo from "@/media/llmprovider/lmstudio.png";
import LocalAiLogo from "@/media/llmprovider/localai.png";
import TogetherAILogo from "@/media/llmprovider/togetherai.png";
import FireworksAILogo from "@/media/llmprovider/fireworksai.jpeg";
import AnythingLLMIcon from "@/media/logo/anything-llm-icon.png";
import MistralLogo from "@/media/llmprovider/mistral.jpeg";
import HuggingFaceLogo from "@/media/llmprovider/huggingface.png";
import PerplexityLogo from "@/media/llmprovider/perplexity.png";
import OpenRouterLogo from "@/media/llmprovider/openrouter.jpeg";
import GroqLogo from "@/media/llmprovider/groq.png";
import KoboldCPPLogo from "@/media/llmprovider/koboldcpp.png";
import TextGenWebUILogo from "@/media/llmprovider/text-generation-webui.png";
import LiteLLMLogo from "@/media/llmprovider/litellm.png";
import AWSBedrockLogo from "@/media/llmprovider/bedrock.png";
import DeepSeekLogo from "@/media/llmprovider/deepseek.png";
import APIPieLogo from "@/media/llmprovider/apipie.png";
import NovitaLogo from "@/media/llmprovider/novita.png";
import XAILogo from "@/media/llmprovider/xai.png";
import CohereLogo from "@/media/llmprovider/cohere.png";
import OpenAiOptions from "@/components/LLMSelection/OpenAiOptions";
import GenericOpenAiOptions from "@/components/LLMSelection/GenericOpenAiOptions";
import AzureAiOptions from "@/components/LLMSelection/AzureAiOptions";
import AnthropicAiOptions from "@/components/LLMSelection/AnthropicAiOptions";
import LMStudioOptions from "@/components/LLMSelection/LMStudioOptions";
import LocalAiOptions from "@/components/LLMSelection/LocalAiOptions";
import NativeLLMOptions from "@/components/LLMSelection/NativeLLMOptions";
import GeminiLLMOptions from "@/components/LLMSelection/GeminiLLMOptions";
import OllamaLLMOptions from "@/components/LLMSelection/OllamaLLMOptions";
import MistralOptions from "@/components/LLMSelection/MistralOptions";
import HuggingFaceOptions from "@/components/LLMSelection/HuggingFaceOptions";
import TogetherAiOptions from "@/components/LLMSelection/TogetherAiOptions";
import FireworksAiOptions from "@/components/LLMSelection/FireworksAiOptions";
import PerplexityOptions from "@/components/LLMSelection/PerplexityOptions";
import OpenRouterOptions from "@/components/LLMSelection/OpenRouterOptions";
import GroqAiOptions from "@/components/LLMSelection/GroqAiOptions";
import CohereAiOptions from "@/components/LLMSelection/CohereAiOptions";
import KoboldCPPOptions from "@/components/LLMSelection/KoboldCPPOptions";
import TextGenWebUIOptions from "@/components/LLMSelection/TextGenWebUIOptions";
import LiteLLMOptions from "@/components/LLMSelection/LiteLLMOptions";
import AWSBedrockLLMOptions from "@/components/LLMSelection/AwsBedrockLLMOptions";
import DeepSeekOptions from "@/components/LLMSelection/DeepSeekOptions";
import ApiPieLLMOptions from "@/components/LLMSelection/ApiPieOptions";
import NovitaLLMOptions from "@/components/LLMSelection/NovitaLLMOptions";
import XAILLMOptions from "@/components/LLMSelection/XAiLLMOptions";
import LLMItem from "@/components/LLMSelection/LLMItem";
import System from "@/models/system";
import paths from "@/utils/paths";
import showToast from "@/utils/toast";
import { useNavigate } from "react-router-dom";
const TITLE = "LLM Preference";
const DESCRIPTION =
"AnythingLLM can work with many LLM providers. This will be the service which handles chatting.";
const LLMS = [
{
name: "OpenAI",
value: "openai",
logo: OpenAiLogo,
options: (settings) => <OpenAiOptions settings={settings} />,
description: "The standard option for most non-commercial use.",
},
{
name: "Azure OpenAI",
value: "azure",
logo: AzureOpenAiLogo,
options: (settings) => <AzureAiOptions settings={settings} />,
description: "The enterprise option of OpenAI hosted on Azure services.",
},
{
name: "Anthropic",
value: "anthropic",
logo: AnthropicLogo,
options: (settings) => <AnthropicAiOptions settings={settings} />,
description: "A friendly AI Assistant hosted by Anthropic.",
},
{
name: "Gemini",
value: "gemini",
logo: GeminiLogo,
options: (settings) => <GeminiLLMOptions settings={settings} />,
description: "Google's largest and most capable AI model",
},
{
name: "HuggingFace",
value: "huggingface",
logo: HuggingFaceLogo,
options: (settings) => <HuggingFaceOptions settings={settings} />,
description:
"Access 150,000+ open-source LLMs and the world's AI community",
},
{
name: "Ollama",
value: "ollama",
logo: OllamaLogo,
options: (settings) => <OllamaLLMOptions settings={settings} />,
description: "Run LLMs locally on your own machine.",
},
{
name: "Novita AI",
value: "novita",
logo: NovitaLogo,
options: (settings) => <NovitaLLMOptions settings={settings} />,
description:
"Reliable, Scalable, and Cost-Effective for LLMs from Novita AI",
},
{
name: "LM Studio",
value: "lmstudio",
logo: LMStudioLogo,
options: (settings) => <LMStudioOptions settings={settings} />,
description:
"Discover, download, and run thousands of cutting edge LLMs in a few clicks.",
},
{
name: "Local AI",
value: "localai",
logo: LocalAiLogo,
options: (settings) => <LocalAiOptions settings={settings} />,
description: "Run LLMs locally on your own machine.",
},
{
name: "KoboldCPP",
value: "koboldcpp",
logo: KoboldCPPLogo,
options: (settings) => <KoboldCPPOptions settings={settings} />,
description: "Run local LLMs using koboldcpp.",
},
{
name: "Oobabooga Web UI",
value: "textgenwebui",
logo: TextGenWebUILogo,
options: (settings) => <TextGenWebUIOptions settings={settings} />,
description: "Run local LLMs using Oobabooga's Text Generation Web UI.",
},
{
name: "Together AI",
value: "togetherai",
logo: TogetherAILogo,
options: (settings) => <TogetherAiOptions settings={settings} />,
description: "Run open source models from Together AI.",
},
{
name: "Fireworks AI",
value: "fireworksai",
logo: FireworksAILogo,
options: (settings) => <FireworksAiOptions settings={settings} />,
description:
"The fastest and most efficient inference engine to build production-ready, compound AI systems.",
},
{
name: "Mistral",
value: "mistral",
logo: MistralLogo,
options: (settings) => <MistralOptions settings={settings} />,
description: "Run open source models from Mistral AI.",
},
{
name: "Perplexity AI",
value: "perplexity",
logo: PerplexityLogo,
options: (settings) => <PerplexityOptions settings={settings} />,
description:
"Run powerful and internet-connected models hosted by Perplexity AI.",
},
{
name: "OpenRouter",
value: "openrouter",
logo: OpenRouterLogo,
options: (settings) => <OpenRouterOptions settings={settings} />,
description: "A unified interface for LLMs.",
},
{
name: "Groq",
value: "groq",
logo: GroqLogo,
options: (settings) => <GroqAiOptions settings={settings} />,
description:
"The fastest LLM inferencing available for real-time AI applications.",
},
{
name: "Cohere",
value: "cohere",
logo: CohereLogo,
options: (settings) => <CohereAiOptions settings={settings} />,
description: "Run Cohere's powerful Command models.",
},
{
name: "LiteLLM",
value: "litellm",
logo: LiteLLMLogo,
options: (settings) => <LiteLLMOptions settings={settings} />,
description: "Run LiteLLM's OpenAI compatible proxy for various LLMs.",
},
{
name: "DeepSeek",
value: "deepseek",
logo: DeepSeekLogo,
options: (settings) => <DeepSeekOptions settings={settings} />,
description: "Run DeepSeek's powerful LLMs.",
},
{
name: "APIpie",
value: "apipie",
logo: APIPieLogo,
options: (settings) => <ApiPieLLMOptions settings={settings} />,
description: "A unified API of AI services from leading providers",
},
{
name: "Generic OpenAI",
value: "generic-openai",
logo: GenericOpenAiLogo,
options: (settings) => <GenericOpenAiOptions settings={settings} />,
description:
"Connect to any OpenAi-compatible service via a custom configuration",
},
{
name: "AWS Bedrock",
value: "bedrock",
logo: AWSBedrockLogo,
options: (settings) => <AWSBedrockLLMOptions settings={settings} />,
description: "Run powerful foundation models privately with AWS Bedrock.",
},
{
name: "xAI",
value: "xai",
logo: XAILogo,
options: (settings) => <XAILLMOptions settings={settings} />,
description: "Run xAI's powerful LLMs like Grok-2 and more.",
},
{
name: "Native",
value: "native",
logo: AnythingLLMIcon,
options: (settings) => <NativeLLMOptions settings={settings} />,
description:
"Use a downloaded custom Llama model for chatting on this AnythingLLM instance.",
},
];
export default function LLMPreference({
setHeader,
setForwardBtn,
setBackBtn,
}) {
const [searchQuery, setSearchQuery] = useState("");
const [filteredLLMs, setFilteredLLMs] = useState([]);
const [selectedLLM, setSelectedLLM] = useState(null);
const [settings, setSettings] = useState(null);
const formRef = useRef(null);
const hiddenSubmitButtonRef = useRef(null);
const isHosted = window.location.hostname.includes("useanything.com");
const navigate = useNavigate();
useEffect(() => {
async function fetchKeys() {
const _settings = await System.keys();
setSettings(_settings);
setSelectedLLM(_settings?.LLMProvider || "openai");
}
fetchKeys();
}, []);
function handleForward() {
if (hiddenSubmitButtonRef.current) {
hiddenSubmitButtonRef.current.click();
}
}
function handleBack() {
navigate(paths.onboarding.home());
}
const handleSubmit = async (e) => {
e.preventDefault();
const form = e.target;
const data = {};
const formData = new FormData(form);
data.LLMProvider = selectedLLM;
// Default to AnythingLLM embedder and LanceDB
data.EmbeddingEngine = "native";
data.VectorDB = "lancedb";
for (var [key, value] of formData.entries()) data[key] = value;
const { error } = await System.updateSystem(data);
if (error) {
showToast(`Failed to save LLM settings: ${error}`, "error");
return;
}
navigate(paths.onboarding.userSetup());
};
useEffect(() => {
setHeader({ title: TITLE, description: DESCRIPTION });
setForwardBtn({ showing: true, disabled: false, onClick: handleForward });
setBackBtn({ showing: true, disabled: false, onClick: handleBack });
}, []);
useEffect(() => {
const filtered = LLMS.filter((llm) =>
llm.name.toLowerCase().includes(searchQuery.toLowerCase())
);
setFilteredLLMs(filtered);
}, [searchQuery, selectedLLM]);
return (
<div>
<form ref={formRef} onSubmit={handleSubmit} className="w-full">
<div className="w-full relative border-slate-300/40 shadow border-2 rounded-lg text-white">
<div className="w-full p-4 absolute top-0 rounded-t-lg backdrop-blur-sm">
<div className="w-full flex items-center sticky top-0">
<MagnifyingGlass
size={16}
weight="bold"
className="absolute left-4 z-30 text-white"
/>
<input
type="text"
placeholder="Search LLM providers"
className="bg-zinc-600 z-20 pl-10 h-[38px] rounded-full w-full px-4 py-1 text-sm border-2 border-slate-300/40 outline-none focus:outline-primary-button active:outline-primary-button outline-none text-white"
onChange={(e) => setSearchQuery(e.target.value)}
autoComplete="off"
onKeyDown={(e) => {
if (e.key === "Enter") e.preventDefault();
}}
/>
</div>
</div>
<div className="px-4 pt-[70px] flex flex-col gap-y-1 max-h-[390px] overflow-y-auto no-scroll pb-4">
{filteredLLMs.map((llm) => {
if (llm.value === "native" && isHosted) return null;
return (
<LLMItem
key={llm.name}
name={llm.name}
value={llm.value}
image={llm.logo}
description={llm.description}
checked={selectedLLM === llm.value}
onClick={() => setSelectedLLM(llm.value)}
/>
);
})}
</div>
</div>
<div className="mt-4 flex flex-col gap-y-1">
{selectedLLM &&
LLMS.find((llm) => llm.value === selectedLLM)?.options(settings)}
</div>
<button
type="submit"
ref={hiddenSubmitButtonRef}
hidden
aria-hidden="true"
></button>
</form>
</div>
);
}