forked from open-webui/open-webui
feat: litellm frontend integration
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parent
de0084c8df
commit
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8 changed files with 134 additions and 62 deletions
42
src/lib/apis/litellm/index.ts
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42
src/lib/apis/litellm/index.ts
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@ -0,0 +1,42 @@
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import { LITELLM_API_BASE_URL } from '$lib/constants';
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export const getLiteLLMModels = async (token: string = '') => {
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let error = null;
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const res = await fetch(`${LITELLM_API_BASE_URL}/v1/models`, {
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method: 'GET',
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headers: {
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Accept: 'application/json',
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'Content-Type': 'application/json',
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...(token && { authorization: `Bearer ${token}` })
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}
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})
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.then(async (res) => {
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if (!res.ok) throw await res.json();
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return res.json();
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})
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.catch((err) => {
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console.log(err);
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error = `OpenAI: ${err?.error?.message ?? 'Network Problem'}`;
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return [];
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});
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if (error) {
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throw error;
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}
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const models = Array.isArray(res) ? res : res?.data ?? null;
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return models
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? models
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.map((model) => ({
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id: model.id,
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name: model.name ?? model.id,
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external: true,
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source: 'litellm'
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}))
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.sort((a, b) => {
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return a.name.localeCompare(b.name);
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})
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: models;
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};
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@ -128,9 +128,11 @@ export const getOllamaModels = async (token: string = '') => {
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throw error;
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}
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return (res?.models ?? []).sort((a, b) => {
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return a.name.localeCompare(b.name);
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});
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return (res?.models ?? [])
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.map((model) => ({ id: model.model, name: model.name ?? model.model, ...model }))
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.sort((a, b) => {
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return a.name.localeCompare(b.name);
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});
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};
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// TODO: migrate to backend
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@ -163,7 +163,7 @@ export const getOpenAIModels = async (token: string = '') => {
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return models
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? models
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.map((model) => ({ name: model.id, external: true }))
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.map((model) => ({ id: model.id, name: model.name ?? model.id, external: true }))
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.sort((a, b) => {
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return a.name.localeCompare(b.name);
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})
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@ -200,17 +200,21 @@ export const getOpenAIModelsDirect = async (
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const models = Array.isArray(res) ? res : res?.data ?? null;
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return models
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.map((model) => ({ name: model.id, external: true }))
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.map((model) => ({ id: model.id, name: model.name ?? model.id, external: true }))
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.filter((model) => (base_url.includes('openai') ? model.name.includes('gpt') : true))
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.sort((a, b) => {
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return a.name.localeCompare(b.name);
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});
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};
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export const generateOpenAIChatCompletion = async (token: string = '', body: object) => {
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export const generateOpenAIChatCompletion = async (
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token: string = '',
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body: object,
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url: string = OPENAI_API_BASE_URL
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) => {
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let error = null;
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const res = await fetch(`${OPENAI_API_BASE_URL}/chat/completions`, {
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const res = await fetch(`${url}/chat/completions`, {
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method: 'POST',
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headers: {
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Authorization: `Bearer ${token}`,
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@ -25,7 +25,7 @@
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$: if (selectedModels.length > 0 && $models.length > 0) {
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selectedModels = selectedModels.map((model) =>
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$models.map((m) => m.name).includes(model) ? model : ''
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$models.map((m) => m.id).includes(model) ? model : ''
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);
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}
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</script>
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@ -45,7 +45,7 @@
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{#if model.name === 'hr'}
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<hr />
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{:else}
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<option value={model.name} class="text-gray-700 text-lg"
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<option value={model.id} class="text-gray-700 text-lg"
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>{model.name +
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`${model.size ? ` (${(model.size / 1024 ** 3).toFixed(1)}GB)` : ''}`}</option
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>
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@ -4,6 +4,7 @@
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import { getOllamaModels } from '$lib/apis/ollama';
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import { getOpenAIModels } from '$lib/apis/openai';
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import { getLiteLLMModels } from '$lib/apis/litellm';
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import Modal from '../common/Modal.svelte';
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import Account from './Settings/Account.svelte';
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@ -41,7 +42,15 @@
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console.log(error);
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return null;
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});
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models.push(...(openAIModels ? [{ name: 'hr' }, ...openAIModels] : []));
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const liteLLMModels = await getLiteLLMModels(localStorage.token).catch((error) => {
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console.log(error);
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return null;
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});
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models.push(...(liteLLMModels ? [{ name: 'hr' }, ...liteLLMModels] : []));
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}
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return models;
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@ -5,6 +5,8 @@ export const WEBUI_NAME = 'Open WebUI';
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export const WEBUI_BASE_URL = dev ? `http://${location.hostname}:8080` : ``;
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export const WEBUI_API_BASE_URL = `${WEBUI_BASE_URL}/api/v1`;
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export const LITELLM_API_BASE_URL = `${WEBUI_BASE_URL}/litellm/api`;
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export const OLLAMA_API_BASE_URL = `${WEBUI_BASE_URL}/ollama/api`;
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export const OPENAI_API_BASE_URL = `${WEBUI_BASE_URL}/openai/api`;
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export const AUDIO_API_BASE_URL = `${WEBUI_BASE_URL}/audio/api/v1`;
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@ -12,6 +12,7 @@
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import { getPrompts } from '$lib/apis/prompts';
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import { getOpenAIModels } from '$lib/apis/openai';
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import { getLiteLLMModels } from '$lib/apis/litellm';
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import {
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user,
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@ -59,6 +60,13 @@
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models.push(...(openAIModels ? [{ name: 'hr' }, ...openAIModels] : []));
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const liteLLMModels = await getLiteLLMModels(localStorage.token).catch((error) => {
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console.log(error);
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return null;
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});
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models.push(...(liteLLMModels ? [{ name: 'hr' }, ...liteLLMModels] : []));
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return models;
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};
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@ -36,6 +36,7 @@
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import ModelSelector from '$lib/components/chat/ModelSelector.svelte';
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import Navbar from '$lib/components/layout/Navbar.svelte';
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import { RAGTemplate } from '$lib/utils/rag';
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import { LITELLM_API_BASE_URL, OPENAI_API_BASE_URL } from '$lib/constants';
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let stopResponseFlag = false;
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let autoScroll = true;
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@ -277,9 +278,8 @@
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}
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await Promise.all(
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selectedModels.map(async (model) => {
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console.log(model);
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const modelTag = $models.filter((m) => m.name === model).at(0);
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selectedModels.map(async (modelId) => {
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const model = $models.filter((m) => m.id === modelId).at(0);
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// Create response message
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let responseMessageId = uuidv4();
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@ -289,7 +289,7 @@
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childrenIds: [],
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role: 'assistant',
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content: '',
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model: model,
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model: model.id,
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timestamp: Math.floor(Date.now() / 1000) // Unix epoch
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};
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@ -305,12 +305,12 @@
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];
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}
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if (modelTag?.external) {
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if (model?.external) {
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await sendPromptOpenAI(model, prompt, responseMessageId, _chatId);
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} else if (modelTag) {
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} else if (model) {
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await sendPromptOllama(model, prompt, responseMessageId, _chatId);
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} else {
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toast.error(`Model ${model} not found`);
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toast.error(`Model ${model.id} not found`);
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}
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})
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);
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@ -319,6 +319,7 @@
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};
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const sendPromptOllama = async (model, userPrompt, responseMessageId, _chatId) => {
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model = model.id;
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const responseMessage = history.messages[responseMessageId];
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// Wait until history/message have been updated
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@ -530,54 +531,58 @@
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const responseMessage = history.messages[responseMessageId];
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scrollToBottom();
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const res = await generateOpenAIChatCompletion(localStorage.token, {
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model: model,
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stream: true,
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messages: [
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$settings.system
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? {
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role: 'system',
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content: $settings.system
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}
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: undefined,
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...messages
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]
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.filter((message) => message)
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.map((message, idx, arr) => ({
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role: message.role,
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...(message.files?.filter((file) => file.type === 'image').length > 0 ?? false
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const res = await generateOpenAIChatCompletion(
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localStorage.token,
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{
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model: model.id,
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stream: true,
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messages: [
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$settings.system
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? {
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content: [
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{
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type: 'text',
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text:
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arr.length - 1 !== idx
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? message.content
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: message?.raContent ?? message.content
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},
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...message.files
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.filter((file) => file.type === 'image')
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.map((file) => ({
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type: 'image_url',
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image_url: {
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url: file.url
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}
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}))
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]
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role: 'system',
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content: $settings.system
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}
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: {
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content:
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arr.length - 1 !== idx ? message.content : message?.raContent ?? message.content
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})
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})),
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seed: $settings?.options?.seed ?? undefined,
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stop: $settings?.options?.stop ?? undefined,
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temperature: $settings?.options?.temperature ?? undefined,
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top_p: $settings?.options?.top_p ?? undefined,
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num_ctx: $settings?.options?.num_ctx ?? undefined,
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frequency_penalty: $settings?.options?.repeat_penalty ?? undefined,
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max_tokens: $settings?.options?.num_predict ?? undefined
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});
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: undefined,
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...messages
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]
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.filter((message) => message)
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.map((message, idx, arr) => ({
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role: message.role,
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...(message.files?.filter((file) => file.type === 'image').length > 0 ?? false
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? {
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content: [
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{
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type: 'text',
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text:
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arr.length - 1 !== idx
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? message.content
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: message?.raContent ?? message.content
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},
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...message.files
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.filter((file) => file.type === 'image')
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.map((file) => ({
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type: 'image_url',
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image_url: {
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url: file.url
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}
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}))
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]
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}
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: {
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content:
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arr.length - 1 !== idx ? message.content : message?.raContent ?? message.content
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})
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})),
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seed: $settings?.options?.seed ?? undefined,
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stop: $settings?.options?.stop ?? undefined,
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temperature: $settings?.options?.temperature ?? undefined,
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top_p: $settings?.options?.top_p ?? undefined,
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num_ctx: $settings?.options?.num_ctx ?? undefined,
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frequency_penalty: $settings?.options?.repeat_penalty ?? undefined,
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max_tokens: $settings?.options?.num_predict ?? undefined
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},
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model.source === 'litellm' ? `${LITELLM_API_BASE_URL}/v1` : `${OPENAI_API_BASE_URL}`
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);
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if (res && res.ok) {
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const reader = res.body
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