From fbfe2da4936e752f8310ffab16a5dba0a940ee51 Mon Sep 17 00:00:00 2001 From: tegnike Date: Fri, 30 Aug 2024 12:59:45 +0200 Subject: [PATCH] =?UTF-8?q?Vercel=20AI=20SDK=E3=82=92=E5=B0=8E=E5=85=A5?= =?UTF-8?q?=E3=81=97=E3=81=A6=E5=90=84AI=E3=82=B5=E3=83=BC=E3=83=93?= =?UTF-8?q?=E3=82=B9=E3=81=AE=E5=91=BC=E3=81=B3=E5=87=BA=E3=81=97=E5=87=A6?= =?UTF-8?q?=E7=90=86=E3=82=92=E7=B5=B1=E4=B8=80=E5=8C=96?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- package-lock.json | 1367 ++++++++++++++++- package.json | 6 + src/components/chatLog.tsx | 2 +- src/components/menu.tsx | 2 +- src/components/settings/log.tsx | 2 +- src/components/settings/modelProvider.tsx | 32 +- src/components/settings/slide.tsx | 17 +- src/components/settings/slideConvert.tsx | 68 +- src/components/settings/youtube.tsx | 4 +- src/features/chat/aiChatFactory.ts | 51 +- src/features/chat/anthropicChat.ts | 81 - src/features/chat/googleChat.ts | 164 -- src/features/chat/groqChat.ts | 85 - src/features/chat/handlers.ts | 65 +- src/features/chat/openAiChat.ts | 95 -- src/features/chat/vercelAIChat.ts | 96 ++ src/features/messages/messages.ts | 5 +- src/features/slide/slideAIHelpers.ts | 54 +- src/features/stores/settings.ts | 14 +- .../conversationContinuityFunctions.ts | 100 +- src/features/youtube/youtubeComments.ts | 28 +- src/pages/api/aiChat.ts | 120 ++ src/pages/api/chat.ts | 38 - src/pages/api/convertSlide.ts | 77 +- src/pages/api/google.ts | 67 - src/pages/api/groq.ts | 130 -- src/pages/api/openai.ts | 47 - 27 files changed, 1834 insertions(+), 983 deletions(-) delete mode 100644 src/features/chat/anthropicChat.ts delete mode 100644 src/features/chat/googleChat.ts delete mode 100644 src/features/chat/groqChat.ts delete mode 100644 src/features/chat/openAiChat.ts create mode 100644 src/features/chat/vercelAIChat.ts create mode 100644 src/pages/api/aiChat.ts delete mode 100644 src/pages/api/chat.ts delete mode 100644 src/pages/api/google.ts delete mode 100644 src/pages/api/groq.ts delete mode 100644 src/pages/api/openai.ts diff --git a/package-lock.json b/package-lock.json index 4ce471ed..5cac23f7 100644 --- a/package-lock.json +++ b/package-lock.json @@ -8,6 +8,9 @@ "name": "aituber-kit", "version": "0.1.0", "dependencies": { + "@ai-sdk/anthropic": "^0.0.48", + "@ai-sdk/google": "^0.0.46", + "@ai-sdk/openai": "^0.0.54", "@anthropic-ai/sdk": "^0.20.8", "@charcoal-ui/icons": "^2.6.0", "@google-cloud/text-to-speech": "^5.0.1", @@ -19,18 +22,21 @@ "@pixiv/three-vrm": "^3.0.0", "@tailwindcss/line-clamp": "^0.4.4", "@vercel/analytics": "^1.3.1", + "ai": "^3.3.20", "axios": "^1.6.8", "canvas": "^2.11.2", "formidable": "^3.5.1", "groq-sdk": "^0.3.3", "i18next": "^23.6.0", "next": "^14.2.5", + "ollama-ai-provider": "^0.13.0", "openai": "^4.38.5", "pdfjs-dist": "^4.5.136", "react": "^18.3.1", "react-dom": "^18.3.1", "react-i18next": "^13.3.1", "three": "^0.167.1", + "zod": "^3.23.8", "zustand": "^4.5.4" }, "devDependencies": { @@ -61,6 +67,223 @@ 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"sha512-uSt90Gzc/tUfyNqxnjlfBs8W6WSGpNBv0rVsNxP/BVSMHMKGdthPYff4xtCHYloJGM0CFxFsb3NbC0eqPhfImw==", + "requires": {} }, "zustand": { "version": "4.5.4", diff --git a/package.json b/package.json index 89c3ff10..d6e96d42 100644 --- a/package.json +++ b/package.json @@ -15,6 +15,9 @@ "desktop": "NEXT_PUBLIC_BACKGROUND_IMAGE_PATH=\"\" run-p dev electron" }, "dependencies": { + "@ai-sdk/anthropic": "^0.0.48", + "@ai-sdk/google": "^0.0.46", + "@ai-sdk/openai": "^0.0.54", "@anthropic-ai/sdk": "^0.20.8", "@charcoal-ui/icons": "^2.6.0", "@google-cloud/text-to-speech": "^5.0.1", @@ -26,18 +29,21 @@ "@pixiv/three-vrm": "^3.0.0", "@tailwindcss/line-clamp": "^0.4.4", "@vercel/analytics": "^1.3.1", + "ai": "^3.3.20", "axios": "^1.6.8", "canvas": "^2.11.2", "formidable": "^3.5.1", "groq-sdk": "^0.3.3", "i18next": "^23.6.0", "next": "^14.2.5", + "ollama-ai-provider": "^0.13.0", "openai": "^4.38.5", "pdfjs-dist": "^4.5.136", "react": "^18.3.1", "react-dom": "^18.3.1", "react-i18next": "^13.3.1", "three": "^0.167.1", + "zod": "^3.23.8", "zustand": "^4.5.4" }, "devDependencies": { diff --git a/src/components/chatLog.tsx b/src/components/chatLog.tsx index e51b540a..dba7a9f9 100644 --- a/src/components/chatLog.tsx +++ b/src/components/chatLog.tsx @@ -45,7 +45,7 @@ export const ChatLog = () => { /> diff --git a/src/components/menu.tsx b/src/components/menu.tsx index 799ef9d6..a2133cb9 100644 --- a/src/components/menu.tsx +++ b/src/components/menu.tsx @@ -144,7 +144,7 @@ export const Menu = () => { /> )} - {selectAIService === 'openai' && !youtubeMode && ( + {!youtubeMode && ( <>
{ > ) : ( 画像 { const webSocketMode = settingsStore((s) => s.webSocketMode) - const openAiKey = settingsStore((s) => s.openAiKey) + const openaiKey = settingsStore((s) => s.openaiKey) const anthropicKey = settingsStore((s) => s.anthropicKey) const googleKey = settingsStore((s) => s.googleKey) const groqKey = settingsStore((s) => s.groqKey) @@ -30,7 +31,7 @@ const ModelProvider = () => { // ローカルLLMが選択された場合、AIモデルを空文字に設定 const defaultModels = { openai: 'gpt-4o', - anthropic: 'claude-3.5-sonnet-20240620', + anthropic: 'claude-3-5-sonnet-20240620', google: 'gemini-1.5-pro', groq: 'gemma-7b-it', localLlm: '', @@ -44,24 +45,17 @@ const ModelProvider = () => { selectAIModel: defaultModels[newService], }) - if (newService !== 'openai') { + if (!multiModalAIServices.includes(newService as any)) { homeStore.setState({ modalImage: '' }) menuStore.setState({ showWebcam: false }) - if (newService !== 'anthropic') { - settingsStore.setState({ - conversationContinuityMode: false, - }) - } - - if (newService !== 'anthropic' && newService !== 'google') { - settingsStore.setState({ - slideMode: false, - }) - slideStore.setState({ - isPlaying: false, - }) - } + settingsStore.setState({ + conversationContinuityMode: false, + slideMode: false, + }) + slideStore.setState({ + isPlaying: false, + }) } }, [] @@ -100,9 +94,9 @@ const ModelProvider = () => { className="text-ellipsis px-16 py-8 w-col-span-2 bg-surface1 hover:bg-surface1-hover rounded-8" type="text" placeholder="sk-..." - value={openAiKey} + value={openaiKey} onChange={(e) => - settingsStore.setState({ openAiKey: e.target.value }) + settingsStore.setState({ openaiKey: e.target.value }) } />
diff --git a/src/components/settings/slide.tsx b/src/components/settings/slide.tsx index 9043e6e4..4509f4f6 100644 --- a/src/components/settings/slide.tsx +++ b/src/components/settings/slide.tsx @@ -1,6 +1,9 @@ import { useTranslation } from 'react-i18next' import { useEffect, useState } from 'react' -import settingsStore from '@/features/stores/settings' +import settingsStore, { + multiModalAIServices, + multiModalAIServiceKey, +} from '@/features/stores/settings' import menuStore from '@/features/stores/menu' import slideStore from '@/features/stores/slide' import { TextButton } from '../textButton' @@ -66,9 +69,9 @@ const Slide = () => { {slideMode ? t('StatusOn') : t('StatusOff')} @@ -92,9 +95,9 @@ const Slide = () => { ))} - {selectAIService === 'openai' && ( - - )} + {multiModalAIServices.includes( + selectAIService as multiModalAIServiceKey + ) && } )} diff --git a/src/components/settings/slideConvert.tsx b/src/components/settings/slideConvert.tsx index a53e71eb..a7d58ff4 100644 --- a/src/components/settings/slideConvert.tsx +++ b/src/components/settings/slideConvert.tsx @@ -1,6 +1,9 @@ import React, { useState } from 'react' import { useTranslation } from 'react-i18next' -import settingsStore from '@/features/stores/settings' +import settingsStore, { + multiModalAIServiceKey, + multiModalAIServices, +} from '@/features/stores/settings' import { TextButton } from '../textButton' interface SlideConvertProps { @@ -11,7 +14,9 @@ const SlideConvert: React.FC = ({ onFolderUpdate }) => { const { t } = useTranslation() const [file, setFile] = useState(null) const [folderName, setFolderName] = useState('') - const [apiKey] = useState(settingsStore.getState().openAiKey) + const aiService = settingsStore.getState() + .selectAIService as multiModalAIServiceKey + const [model, setModel] = useState('gpt-4o') const [isLoading, setIsLoading] = useState(false) const selectLanguage = settingsStore.getState().selectLanguage @@ -27,6 +32,15 @@ const SlideConvert: React.FC = ({ onFolderUpdate }) => { const handleFormSubmit = async (event: React.FormEvent) => { event.preventDefault() + + if (!multiModalAIServices.includes(aiService)) { + alert(t('InvalidAIService')) + return + } + + const apiKeyName = `${aiService}Key` as const + const apiKey = settingsStore.getState()[apiKeyName] + if (!file || !folderName || !apiKey || !model) { alert(t('PdfConvertSubmitError')) return @@ -37,6 +51,7 @@ const SlideConvert: React.FC = ({ onFolderUpdate }) => { const formData = new FormData() formData.append('file', file) formData.append('folderName', folderName) + formData.append('aiService', aiService) formData.append('apiKey', apiKey) formData.append('model', model) formData.append('selectLanguage', selectLanguage) @@ -101,11 +116,50 @@ const SlideConvert: React.FC = ({ onFolderUpdate }) => { onChange={(e) => setModel(e.target.value)} className="text-ellipsis px-16 py-8 w-col-span-4 bg-surface1 hover:bg-surface1-hover rounded-8" > - - - - - + {aiService === 'openai' && ( + <> + + + + + + + )} + {aiService === 'anthropic' && ( + <> + + + + + + )} + {aiService === 'google' && ( + <> + + + + + + + )}
diff --git a/src/components/settings/youtube.tsx b/src/components/settings/youtube.tsx index 2c130528..87b817f7 100644 --- a/src/components/settings/youtube.tsx +++ b/src/components/settings/youtube.tsx @@ -4,6 +4,7 @@ import homeStore from '@/features/stores/home' import menuStore from '@/features/stores/menu' import settingsStore from '@/features/stores/settings' import { TextButton } from '../textButton' +import { multiModalAIServices } from '@/features/stores/settings' const YouTube = () => { const youtubeApiKey = settingsStore((s) => s.youtubeApiKey) @@ -98,8 +99,7 @@ const YouTube = () => { }) } disabled={ - (selectAIService !== 'openai' && - selectAIService !== 'anthropic') || + !multiModalAIServices.includes(selectAIService as any) || slideMode || webSocketMode } diff --git a/src/features/chat/aiChatFactory.ts b/src/features/chat/aiChatFactory.ts index 85382694..7bd4bc22 100644 --- a/src/features/chat/aiChatFactory.ts +++ b/src/features/chat/aiChatFactory.ts @@ -1,54 +1,41 @@ import { Message } from '@/features/messages/messages' -import { AIService, AIServiceConfig } from '@/features/constants/settings' -import { getAnthropicChatResponseStream } from './anthropicChat' -import { getDifyChatResponseStream } from './difyChat' -import { getGoogleChatResponseStream } from './googleChat' -import { getGroqChatResponseStream } from './groqChat' +import { AIService } from '@/features/constants/settings' import { getLocalLLMChatResponseStream } from './localLLMChat' -import { getOpenAIChatResponseStream } from './openAiChat' +import { getDifyChatResponseStream } from './difyChat' +import { getVercelAIChatResponseStream } from './vercelAIChat' +import settingsStore from '@/features/stores/settings' export async function getAIChatResponseStream( service: AIService, - messages: Message[], - config: AIServiceConfig + messages: Message[] ): Promise | null> { + const ss = settingsStore.getState() + switch (service) { case 'openai': - return getOpenAIChatResponseStream( - messages, - config.openai.key, - config.openai.model - ) case 'anthropic': - return getAnthropicChatResponseStream( - messages, - config.anthropic.key, - config.anthropic.model - ) case 'google': - return getGoogleChatResponseStream( + case 'groq': + return getVercelAIChatResponseStream( messages, - config.google.key, - config.google.model + ss[`${service}Key`] || + process.env[`NEXT_PUBLIC_${service.toUpperCase()}_KEY`] || + '', + service, + ss.selectAIModel ) case 'localLlm': return getLocalLLMChatResponseStream( messages, - config.localLlm.url, - config.localLlm.model - ) - case 'groq': - return getGroqChatResponseStream( - messages, - config.groq.key, - config.groq.model + ss.localLlmUrl || process.env.NEXT_PUBLIC_LOCAL_LLM_URL || '', + ss.selectAIModel || process.env.NEXT_PUBLIC_LOCAL_LLM_MODEL || '' ) case 'dify': return getDifyChatResponseStream( messages, - config.dify.key, - config.dify.url, - config.dify.conversationId + ss.difyKey || process.env.NEXT_PUBLIC_DIFY_KEY || '', + ss.difyUrl || process.env.NEXT_PUBLIC_DIFY_URL || '', + ss.difyConversationId ) default: throw new Error(`Unsupported AI service: ${service}`) diff --git a/src/features/chat/anthropicChat.ts b/src/features/chat/anthropicChat.ts deleted file mode 100644 index f0882151..00000000 --- a/src/features/chat/anthropicChat.ts +++ /dev/null @@ -1,81 +0,0 @@ -import { Message } from '../messages/messages' - -export async function getAnthropicChatResponse( - messages: Message[], - apiKey: string, - model: string -) { - const response = await fetch('/api/anthropic', { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify({ messages, apiKey, model }), - }) - - const data = await response.json() - return { message: data.message[0].text } -} - -export async function getAnthropicChatResponseStream( - messages: Message[], - apiKey: string, - model: string -) { - const response = await fetch('/api/anthropic', { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify({ messages, apiKey, model, stream: true }), - }) - - if (!response.ok) { - throw new Error('Anthropic APIリクエストに失敗しました') - } - - if (!response.body) { - throw new Error('Anthropic APIレスポンスが空です') - } - - const reader = response.body.getReader() - const decoder = new TextDecoder('utf-8') - - return new ReadableStream({ - async start(controller) { - while (true) { - const { done, value } = await reader.read() - - if (done) { - break - } - - const chunk = decoder.decode(value) - const lines = chunk.split('\n') - - for (const line of lines) { - if (line.startsWith('data:')) { - const data = line.substring(5).trim() - if (data !== '[DONE]') { - const event = JSON.parse(data) - switch (event.type) { - case 'content_block_delta': - controller.enqueue(event.text) - break - case 'error': - throw new Error( - `Anthropic API error: ${JSON.stringify(event.error)}` - ) - case 'message_stop': - controller.close() - return - } - } - } - } - } - - controller.close() - }, - }) -} diff --git a/src/features/chat/googleChat.ts b/src/features/chat/googleChat.ts deleted file mode 100644 index 5ec46341..00000000 --- a/src/features/chat/googleChat.ts +++ /dev/null @@ -1,164 +0,0 @@ -// import { Message } from "../messages/messages"; - -// export async function getGoogleChatResponse(messages: Message[], apiKey: string, model: string) { -// const response = await fetch("/api/google", { -// method: "POST", -// headers: { -// "Content-Type": "application/json", -// }, -// body: JSON.stringify({ messages, apiKey, model }), -// }); - -// const data = await response.json(); -// return data; -// } - -// export async function getGoogleChatResponseStream( -// messages: Message[], -// apiKey: string, -// model: string -// ) { -// const response = await fetch("/api/google", { -// method: "POST", -// headers: { -// "Content-Type": "application/json", -// }, -// body: JSON.stringify({ messages, apiKey, model, stream: true }), -// }); - -// if (!response.ok) { -// throw new Error("Google Gemini APIリクエストに失敗しました"); -// } - -// if (response.body === null) { -// throw new Error("Google Gemini APIリクエストに失敗しました"); -// } - -// const reader = response.body.getReader(); -// const decoder = new TextDecoder("utf-8"); - -// return new ReadableStream({ -// async start(controller) { -// while (true) { -// const { done, value } = await reader.read(); - -// if (done) { -// break; -// } - -// const chunk = decoder.decode(value); -// // 各行を個別に処理 -// const lines = chunk.split('\n'); -// lines.forEach(line => { -// if (line.startsWith('event: end')) { -// controller.close(); // ストリームの終了を検出 -// return; -// } -// // 'data: ' プレフィックスを取り除く -// const jsonStr = line.replace(/^data: /, '').trim(); -// if (jsonStr) { -// try { -// const json = JSON.parse(jsonStr); -// if (json.text) { -// controller.enqueue(json.text); -// } -// } catch (error) { -// console.error("Failed to parse JSON:", error); -// } -// } -// }); -// } - -// controller.close(); -// }, -// }); -// } - -import { GoogleGenerativeAI } from '@google/generative-ai' -import { Message } from '../messages/messages' - -export async function getGoogleChatResponse( - messages: Message[], - apiKey: string, - model: string -) { - const { history, systemMessage } = processMessages(messages) - - const genAI = new GoogleGenerativeAI(apiKey) - const chatModel = genAI.getGenerativeModel({ - model: model, - systemInstruction: systemMessage, - }) - - const chat = chatModel.startChat({ history }) - const lastMessage = messages[messages.length - 1].content - const result = await chat.sendMessage( - typeof lastMessage === 'string' ? lastMessage : lastMessage[0].text - ) - const response = await result.response - const text = response.text() - - return { text } -} - -export async function getGoogleChatResponseStream( - messages: Message[], - apiKey: string, - model: string -) { - const { history, systemMessage } = processMessages(messages) - - const genAI = new GoogleGenerativeAI(apiKey) - const chatModel = genAI.getGenerativeModel({ - model: model, - systemInstruction: systemMessage, - }) - - const chat = chatModel.startChat({ history }) - const lastMessage = messages[messages.length - 1].content - const result = await chat.sendMessageStream( - typeof lastMessage === 'string' ? lastMessage : lastMessage[0].text - ) - - const stream = new ReadableStream({ - async start(controller) { - let text = '' - for await (const chunk of result.stream) { - const chunkText = chunk.text() - text += chunkText - controller.enqueue(chunkText) - } - controller.close() - }, - }) - - return stream -} - -function processMessages(messages: Message[]) { - let systemMessage = '' - const history = messages - .filter((message, index) => { - if (message.role === 'system') { - systemMessage = - typeof message.content === 'string' - ? message.content - : message.content[0].text - return false - } - return index === 0 ? message.role === 'user' : true - }) - .map((message) => ({ - role: message.role === 'assistant' ? 'model' : message.role, - parts: [ - { - text: - typeof message.content === 'string' - ? message.content - : message.content[0].text, - }, - ], - })) - - return { history, systemMessage } -} diff --git a/src/features/chat/groqChat.ts b/src/features/chat/groqChat.ts deleted file mode 100644 index e7439593..00000000 --- a/src/features/chat/groqChat.ts +++ /dev/null @@ -1,85 +0,0 @@ -import { Message } from '../messages/messages' - -export async function getGroqChatResponse( - messages: Message[], - apiKey: string, - model: string -) { - const response = await fetch('/api/groq', { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify({ messages, apiKey, model }), - }) - - const data = await response.json() - return data -} - -export async function getGroqChatResponseStream( - messages: Message[], - apiKey: string, - model: string -) { - const response = await fetch('/api/groq', { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify({ messages, apiKey, model, stream: false }), - }) - - if (!response.ok) { - throw new Error('Groq API request failed') - } - - if (!response.body) { - throw new Error('Groq API response is empty') - } - - const reader = response.body.getReader() - const decoder = new TextDecoder('utf-8') - - return new ReadableStream({ - async start(controller) { - let buffer = '' - - while (true) { - const { done, value } = await reader.read() - - if (done) { - break - } - - // const chunk = decoder.decode(value, { stream: true }); - // controller.enqueue(chunk); - - buffer += decoder.decode(value, { stream: true }) - - // バッファを処理し、「{"message":」文字列を削除する - buffer = buffer.replace(/{"message":\s*"/g, '') - - // バッファが完全なメッセージを含んでいる場合、それを送信する。 - if (buffer.includes('"}')) { - const messages = buffer.split('"}') - - for (let i = 0; i < messages.length - 1; i++) { - controller.enqueue(messages[i]) - } - - buffer = messages[messages.length - 1] - } - } - - console.log('buffer', buffer) - - // 残りのバッファを処理する。 - if (buffer.length > 0) { - controller.enqueue(buffer) - } - - controller.close() - }, - }) -} diff --git a/src/features/chat/handlers.ts b/src/features/chat/handlers.ts index cb89e26a..1db47608 100644 --- a/src/features/chat/handlers.ts +++ b/src/features/chat/handlers.ts @@ -1,5 +1,5 @@ import { getAIChatResponseStream } from '@/features/chat/aiChatFactory' -import { AIService, AIServiceConfig } from '@/features/constants/settings' +import { AIService } from '@/features/constants/settings' import { textsToScreenplay, Message } from '@/features/messages/messages' import { speakCharacter } from '@/features/messages/speakCharacter' import { judgeSlide } from '@/features/slide/slideAIHelpers' @@ -143,39 +143,10 @@ export const processAIResponse = async ( const hs = homeStore.getState() const currentSlideMessages: string[] = [] - const aiServiceConfig: AIServiceConfig = { - openai: { - key: ss.openAiKey || process.env.NEXT_PUBLIC_OPEN_AI_KEY || '', - model: ss.selectAIModel, - }, - anthropic: { - key: ss.anthropicKey || process.env.NEXT_PUBLIC_ANTHROPIC_KEY || '', - model: ss.selectAIModel, - }, - google: { - key: ss.googleKey || process.env.NEXT_PUBLIC_GOOGLE_KEY || '', - model: ss.selectAIModel, - }, - localLlm: { - url: ss.localLlmUrl || process.env.NEXT_PUBLIC_LOCAL_LLM_URL || '', - model: ss.selectAIModel || process.env.NEXT_PUBLIC_LOCAL_LLM_MODEL || '', - }, - groq: { - key: ss.groqKey || process.env.NEXT_PUBLIC_GROQ_KEY || '', - model: ss.selectAIModel, - }, - dify: { - key: ss.difyKey || process.env.NEXT_PUBLIC_DIFY_KEY || '', - url: ss.difyUrl || process.env.NEXT_PUBLIC_DIFY_URL || '', - conversationId: ss.difyConversationId, - }, - } - try { stream = await getAIChatResponseStream( ss.selectAIService as AIService, - messages, - aiServiceConfig + messages ) } catch (e) { console.error(e) @@ -197,6 +168,8 @@ export const processAIResponse = async ( try { while (true) { const { done, value } = await reader.read() + console.log(done) + console.log(value) if (done && receivedMessage.length === 0) break if (value) receivedMessage += value @@ -345,9 +318,9 @@ export const processAIResponse = async ( if ( typeof item.content != 'string' && item.content[0] && - item.content[1].image_url + item.content[1] ) { - lastImageUrl = item.content[1].image_url.url + lastImageUrl = item.content[1].image } const lastItem = acc[acc.length - 1] @@ -365,7 +338,7 @@ export const processAIResponse = async ( ...item, content: [ { type: 'text', text: text.trim() }, - { type: 'image_url', image_url: { url: lastImageUrl } }, + { type: 'image', image: lastImageUrl }, ], }) lastImageUrl = '' @@ -430,7 +403,7 @@ export const handleSendChatFn = // ChatVRM original mode const emptyKeys = [ ss.selectAIService === 'openai' && - !ss.openAiKey && + !ss.openaiKey && !process.env.NEXT_PUBLIC_OPEN_AI_KEY, ss.selectAIService === 'anthropic' && @@ -500,13 +473,12 @@ export const handleSendChatFn = ...hs.chatLog, { role: 'user', - content: - hs.modalImage && ss.selectAIService === 'openai' - ? [ - { type: 'text', text: newMessage }, - { type: 'image_url', image_url: { url: hs.modalImage } }, - ] - : newMessage, + content: hs.modalImage + ? [ + { type: 'text', text: newMessage }, + { type: 'image', image: hs.modalImage }, + ] + : newMessage, }, ] if (hs.modalImage) { @@ -515,14 +487,17 @@ export const handleSendChatFn = homeStore.setState({ chatLog: messageLog }) // TODO: AIに送信するメッセージの加工、処理がひどいので要修正 - const processedMessageLog = messageLog.map((message) => ({ + // 画像は直近のものしか送らない + const processedMessageLog = messageLog.map((message, index) => ({ role: ['assistant', 'user', 'system'].includes(message.role) ? message.role : 'assistant', content: - typeof message.content === 'string' || ss.selectAIService === 'openai' + index === messageLog.length - 1 ? message.content - : message.content[0].text, + : Array.isArray(message.content) + ? message.content[0].text + : message.content, })) const messages: Message[] = [ diff --git a/src/features/chat/openAiChat.ts b/src/features/chat/openAiChat.ts deleted file mode 100644 index 51cc9c4b..00000000 --- a/src/features/chat/openAiChat.ts +++ /dev/null @@ -1,95 +0,0 @@ -import { Message } from '../messages/messages' - -export async function getOpenAIChatResponse( - messages: Message[], - apiKey: string, - model: string -) { - try { - const response = await fetch('/api/openai', { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify({ messages, apiKey, model }), - }) - - if (!response.ok) { - throw new Error('Failed to fetch OpenAI API response') - } - - const data = await response.json() - return { message: data.message } - } catch (error) { - console.error('Error fetching OpenAI API response:', error) - throw error - } -} - -export async function getOpenAIChatResponseStream( - messages: Message[], - apiKey: string, - model: string -) { - try { - const response = await fetch('/api/openai', { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify({ messages, apiKey, model, stream: true }), - }) - - if (!response.ok) { - throw new Error('OpenAI APIリクエストに失敗しました') - } - - if (!response.body) { - throw new Error('OpenAI APIレスポンスが空です') - } - - const reader = response.body.getReader() - const decoder = new TextDecoder('utf-8') - - return new ReadableStream({ - async start(controller) { - while (true) { - const { done, value } = await reader.read() - - if (done) { - break - } - - const chunk = decoder.decode(value) - const lines = chunk.split('\n') - - for (const line of lines) { - if (line.startsWith('data:')) { - const data = line.substring(5).trim() - if (data !== '[DONE]') { - const event = JSON.parse(data) - switch (event.type) { - case 'content_block_delta': - controller.enqueue(event.text) - break - case 'error': - throw new Error( - `OpenAI API error: ${JSON.stringify(event.error)}` - ) - case 'message_stop': - controller.close() - return - } - } - } - } - } - - controller.close() - }, - }) - } catch (error) { - console.error('Error fetching OpenAI API response stream:', error) - throw error - } -} diff --git a/src/features/chat/vercelAIChat.ts b/src/features/chat/vercelAIChat.ts new file mode 100644 index 00000000..84005236 --- /dev/null +++ b/src/features/chat/vercelAIChat.ts @@ -0,0 +1,96 @@ +import { Message } from '../messages/messages' + +export async function getVercelAIChatResponse( + messages: Message[], + apiKey: string, + aiService: string, + model: string +) { + try { + const response = await fetch('/api/aiChat', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + messages, + apiKey, + aiService, + model, + stream: false, + }), + }) + + if (!response.ok) { + throw new Error(`API request to ${aiService} failed`) + } + + if (!response.body) { + throw new Error(`API response from ${aiService} is empty`) + } + + const data = await response.json() + return { message: data.message } + } catch (error) { + console.error(`Error fetching ${aiService} API response:`, error) + throw error + } +} + +export async function getVercelAIChatResponseStream( + messages: Message[], + apiKey: string, + aiService: string, + model: string +): Promise> { + const response = await fetch('/api/aiChat', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + messages, + apiKey, + aiService, + model, + stream: true, + }), + }) + + if (!response.ok) { + throw new Error(`API request to ${aiService} failed`) + } + + return new ReadableStream({ + async start(controller) { + if (!response.body) { + throw new Error(`API response from ${aiService} is empty`) + } + + const reader = response.body.getReader() + const decoder = new TextDecoder('utf-8') + + try { + while (true) { + const { done, value } = await reader.read() + if (done) break + + const chunk = decoder.decode(value) + const lines = chunk.split('\n') + + for (const line of lines) { + if (line.startsWith('0:')) { + const content = line.substring(2).trim().replace(/^"|"$/g, '') + controller.enqueue(content) + } + } + } + } catch (error) { + controller.error(error) + } finally { + controller.close() + reader.releaseLock() + } + }, + }) +} diff --git a/src/features/messages/messages.ts b/src/features/messages/messages.ts index 3e065f8a..bb39c37a 100644 --- a/src/features/messages/messages.ts +++ b/src/features/messages/messages.ts @@ -6,10 +6,7 @@ export type Message = { role: string // "assistant" | "system" | "user"; content: | string - | [ - { type: string; text: string }, - { type: string; image_url: { url: string } }, - ] // マルチモーダル拡張 + | [{ type: 'text'; text: string }, { type: 'image'; image: string }] // マルチモーダル拡張 } const talkStyles = [ diff --git a/src/features/slide/slideAIHelpers.ts b/src/features/slide/slideAIHelpers.ts index d22b1b0b..afc18627 100644 --- a/src/features/slide/slideAIHelpers.ts +++ b/src/features/slide/slideAIHelpers.ts @@ -1,7 +1,8 @@ -import { Message } from '@/features/messages/messages' -import { getOpenAIChatResponse } from '@/features/chat/openAiChat' -import { getAnthropicChatResponse } from '@/features/chat/anthropicChat' -import settingsStore from '@/features/stores/settings' +import { getVercelAIChatResponse } from '@/features/chat/vercelAIChat' +import settingsStore, { + multiModalAIServiceKey, + multiModalAIServices, +} from '@/features/stores/settings' export const judgeSlide = async ( queryText: string, @@ -9,6 +10,18 @@ export const judgeSlide = async ( supplement: string ): Promise => { const ss = settingsStore.getState() + const aiService = ss.selectAIService as multiModalAIServiceKey + + if (!multiModalAIServices.includes(aiService)) { + throw new Error('Invalid AI service') + } + + const apiKeyName = `${aiService}Key` as const + const apiKey = ss[apiKeyName] + + if (!apiKey) { + throw new Error('API key not found') + } const systemMessage = ` You are an AI tasked with determining whether a user's comment is a question about a given script document and supplementary text, and if so, which page of the document is most relevant to the question. Follow these instructions carefully: @@ -46,27 +59,14 @@ ${supplement} Based on the user's comment and the content of both the script document and supplementary text, provide "only" your final answer in the specified JSON format. ` - if (ss.selectAIService === 'openai') { - const response = await getOpenAIChatResponse( - [ - { role: 'system', content: systemMessage }, - { role: 'user', content: queryText }, - ], - ss.openAiKey, - ss.selectAIModel - ) - return response.message - } else if (ss.selectAIService === 'anthropic') { - const response = await getAnthropicChatResponse( - [ - { role: 'system', content: systemMessage }, - { role: 'user', content: queryText }, - ], - ss.anthropicKey, - ss.selectAIModel - ) - return response.message - } else { - throw new Error('Unsupported AI service') - } + const response = await getVercelAIChatResponse( + [ + { role: 'system', content: systemMessage }, + { role: 'user', content: queryText }, + ], + aiService, + apiKey, + ss.selectAIModel + ) + return response.message } diff --git a/src/features/stores/settings.ts b/src/features/stores/settings.ts index 50a7a4b4..619e7c37 100644 --- a/src/features/stores/settings.ts +++ b/src/features/stores/settings.ts @@ -10,8 +10,15 @@ import { VoiceLanguage, } from '../constants/settings' +export const multiModalAIServices = ['openai', 'anthropic', 'google'] as const +export type multiModalAIServiceKey = (typeof multiModalAIServices)[number] + +type multiModalAPIKeys = { + [K in multiModalAIServiceKey as `${K}Key`]: string +} + interface APIKeys { - openAiKey: string + openaiKey: string anthropicKey: string googleKey: string groqKey: string @@ -71,6 +78,7 @@ interface General { } export type SettingsState = APIKeys & + multiModalAPIKeys & ModelProvider & Integrations & Character & @@ -80,7 +88,7 @@ const settingsStore = create()( persist( (set, get) => ({ // API Keys - openAiKey: '', + openaiKey: '', anthropicKey: '', googleKey: '', groqKey: '', @@ -139,7 +147,7 @@ const settingsStore = create()( { name: 'aitube-kit-settings', partialize: (state) => ({ - openAiKey: state.openAiKey, + openaiKey: state.openaiKey, anthropicKey: state.anthropicKey, googleKey: state.googleKey, groqKey: state.groqKey, diff --git a/src/features/youtube/conversationContinuityFunctions.ts b/src/features/youtube/conversationContinuityFunctions.ts index b06fd792..01c83b23 100644 --- a/src/features/youtube/conversationContinuityFunctions.ts +++ b/src/features/youtube/conversationContinuityFunctions.ts @@ -1,26 +1,42 @@ import { Message } from '@/features/messages/messages' -import { getOpenAIChatResponse } from '@/features/chat/openAiChat' -import { getAnthropicChatResponse } from '@/features/chat/anthropicChat' - -const fetchAIResponse = async ( - queryMessages: any[], - aiApiKey: string, - selectAIService: string, - selectAIModel: string -): Promise => { - if (selectAIService === 'openai') { - return await getOpenAIChatResponse(queryMessages, aiApiKey, selectAIModel) - } else if (selectAIService === 'anthropic') { - return await getAnthropicChatResponse( - queryMessages, - aiApiKey, - selectAIModel - ) - } else { - throw new Error('Unsupported AI service') +import { getVercelAIChatResponse } from '@/features/chat/vercelAIChat' +import settingsStore, { + multiModalAIServiceKey, + multiModalAIServices, +} from '@/features/stores/settings' + +const getAIConfig = () => { + const ss = settingsStore.getState() + const aiService = ss.selectAIService as multiModalAIServiceKey + + if (!multiModalAIServices.includes(aiService)) { + throw new Error('Invalid AI service') + } + + const apiKeyName = `${aiService}Key` as const + const apiKey = ss[apiKeyName] + + if (!apiKey) { + throw new Error('API key not found') + } + + return { + aiApiKey: apiKey, + selectAIService: aiService, + selectAIModel: ss.selectAIModel, } } +const fetchAIResponse = async (queryMessages: any[]): Promise => { + const { aiApiKey, selectAIService, selectAIModel } = getAIConfig() + return await getVercelAIChatResponse( + queryMessages, + aiApiKey, + selectAIService, + selectAIModel + ) +} + /** * 共通のシステムメッセージをを返します。 * @@ -112,16 +128,11 @@ const getLastMessages = ( * * @param {Message[]} messages - メッセージの配列 * @param {any[]} youtubeComments - Youtubeのコメントの配列 - * @param {string} openAiKey - OpenAIのAPIキー - * @param {string} selectAIModel - 使用するモデル * @returns {Promise} - 最適なコメント */ export const getBestComment = async ( messages: Message[], - youtubeComments: any[], - aiApiKey: string, - selectAIService: string, - selectAIModel: string + youtubeComments: any[] ): Promise => { console.log('getBestComment') const lastTenMessages = getLastMessages(messages, 10) @@ -159,12 +170,7 @@ ${lastTenMessages} }, ] - const response = await fetchAIResponse( - queryMessages, - aiApiKey, - selectAIService, - selectAIModel - ) + const response = await fetchAIResponse(queryMessages) return response.message } @@ -194,16 +200,9 @@ export const getMessagesForSleep = async ( * メッセージを受け取り、最新の4つのメッセージを使用して別の話題を取得します。 * * @param {Message[]} messages - メッセージの配列 - * @param {string} openAiKey - OpenAIのAPIキー - * @param {string} selectAIModel - 使用するモデル * @returns {Promise} - 別の話題 */ -export const getAnotherTopic = async ( - messages: Message[], - aiApiKey: string, - selectAIService: string, - selectAIModel: string -): Promise => { +export const getAnotherTopic = async (messages: Message[]): Promise => { console.log('getAnotherTopic') const lastTenMessages = getLastMessages(messages, 10) const queryMessages = [ @@ -223,12 +222,7 @@ export const getAnotherTopic = async ( ...lastTenMessages, ] - const response = await fetchAIResponse( - queryMessages, - aiApiKey, - selectAIService, - selectAIModel - ) + const response = await fetchAIResponse(queryMessages) return response.message } @@ -260,15 +254,10 @@ export const getMessagesForNewTopic = async ( * メッセージを受け取り、次の発言者を判断します。 * * @param {Message[]} messages - メッセージの配列 - * @param {string} openAiKey - OpenAIのAPIキー - * @param {string} selectAIModel - 使用するモデル * @returns {Promise} - 次の発言者 */ export const checkIfResponseContinuationIsRequired = async ( - messages: Message[], - aiApiKey: string, - selectAIService: string, - selectAIModel: string + messages: Message[] ): Promise => { console.log('checkIfResponseContinuationIsRequired') const lastTenMessages = getLastMessages(messages, 10) @@ -277,7 +266,7 @@ export const checkIfResponseContinuationIsRequired = async ( } const systemMessage = `与えられた会話文の文脈から、次にどの話者が発言すべきかを判断してください。 -最後の話者が話を続けるべきならば "true" を、逆に交代が必要な場合は "false" を返します。 +最後��話者が話を続けるべきならば "true" を、逆に交代が必要な場合は "false" を返します。 回答はJSON形式で、answerとreasonの2つのキーを持つオブジェクトとしてください。 ## 例 @@ -342,12 +331,7 @@ B: 見てみたいな。送ってくれない？ // エラーが発生した場合はfalseを返す let answer try { - const response = await fetchAIResponse( - queryMessages, - aiApiKey, - selectAIService, - selectAIModel - ) + const response = await fetchAIResponse(queryMessages) console.log('response.message:', response.message) const responseJson = JSON.parse(response.message) answer = responseJson.answer diff --git a/src/features/youtube/youtubeComments.ts b/src/features/youtube/youtubeComments.ts index ccb69b08..05d55e9b 100644 --- a/src/features/youtube/youtubeComments.ts +++ b/src/features/youtube/youtubeComments.ts @@ -105,8 +105,6 @@ export const fetchAndProcessComments = async ( try { const liveChatId = await getLiveChatId(ss.youtubeLiveId, ss.youtubeApiKey) - const aiApiKey = - ss.selectAIService === 'anthropic' ? ss.anthropicKey : ss.openAiKey if (liveChatId) { // 会話の継続が必要かどうかを確認 @@ -116,12 +114,7 @@ export const fetchAndProcessComments = async ( ss.conversationContinuityMode ) { const isContinuationNeeded = - await checkIfResponseContinuationIsRequired( - hs.chatLog, - aiApiKey, - ss.selectAIService, - ss.selectAIModel - ) + await checkIfResponseContinuationIsRequired(hs.chatLog) if (isContinuationNeeded) { const continuationMessage = await getMessagesForContinuation( ss.systemPrompt, @@ -153,17 +146,7 @@ export const fetchAndProcessComments = async ( settingsStore.setState({ youtubeSleepMode: false }) let selectedComment = '' if (ss.conversationContinuityMode) { - if (youtubeComments.length > 1) { - selectedComment = await getBestComment( - hs.chatLog, - youtubeComments, - aiApiKey, - ss.selectAIService, - ss.selectAIModel - ) - } else { - selectedComment = youtubeComments[0].userComment - } + selectedComment = await getBestComment(hs.chatLog, youtubeComments) } else { selectedComment = youtubeComments[Math.floor(Math.random() * youtubeComments.length)] @@ -187,12 +170,7 @@ export const fetchAndProcessComments = async ( preProcessAIResponse(continuationMessage) } else if (noCommentCount === 3) { // 新しいトピックを生成 - const anotherTopic = await getAnotherTopic( - hs.chatLog, - aiApiKey, - ss.selectAIService, - ss.selectAIModel - ) + const anotherTopic = await getAnotherTopic(hs.chatLog) console.log('anotherTopic:', anotherTopic) const newTopicMessage = await getMessagesForNewTopic( ss.systemPrompt, diff --git a/src/pages/api/aiChat.ts b/src/pages/api/aiChat.ts new file mode 100644 index 00000000..e52164eb --- /dev/null +++ b/src/pages/api/aiChat.ts @@ -0,0 +1,120 @@ +import { createOpenAI } from '@ai-sdk/openai' +import { createAnthropic } from '@ai-sdk/anthropic' +import { createGoogleGenerativeAI } from '@ai-sdk/google' +import { streamText, generateText } from 'ai' +import { NextRequest } from 'next/server' + +type AIServiceKey = 'openai' | 'anthropic' | 'google' | 'groq' +type AIServiceConfig = Record any> + +// Allow streaming responses up to 30 seconds +export const maxDuration = 30 + +export const config = { + runtime: 'edge', +} + +export default async function handler(req: NextRequest) { + if (req.method !== 'POST') { + return new Response(JSON.stringify({ error: 'Method Not Allowed' }), { + status: 405, + headers: { 'Content-Type': 'application/json' }, + }) + } + + const { messages, apiKey, aiService, model, stream } = await req.json() + const aiServiceConfig: AIServiceConfig = { + openai: () => createOpenAI({ apiKey }), + anthropic: () => createAnthropic({ apiKey }), + google: () => createGoogleGenerativeAI({ apiKey }), + groq: () => + createOpenAI({ baseURL: 'https://api.groq.com/openai/v1', apiKey }), + } + const aiServiceInstance = aiServiceConfig[aiService as AIServiceKey] + + if (!aiServiceInstance) { + return new Response(JSON.stringify({ error: 'Invalid AI service' }), { + status: 400, + headers: { 'Content-Type': 'application/json' }, + }) + } + + const instance = aiServiceInstance() + + const modifiedMessages = modifyMessages(aiService, messages) + + if (stream) { + try { + const result = await streamText({ + model: instance(model), + messages: modifiedMessages, + }) + + return result.toDataStreamResponse() + } catch (error) { + console.error('Error in OpenAI API call:', error) + return new Response(JSON.stringify({ error: 'Internal Server Error' }), { + status: 500, + headers: { 'Content-Type': 'application/json' }, + }) + } + } else { + const result = await generateText({ + model: instance(model), + messages: modifiedMessages, + }) + debugger + return result + } +} + +function modifyMessages(aiService: string, messages: any[]) { + if (aiService === 'anthropic') { + return modifyAnthropicMessages(messages) + } + return messages +} + +// Anthropicのメッセージを修正する +function modifyAnthropicMessages(messages: any[]) { + const systemMessage = messages.find((message) => message.role === 'system') + let userMessages = messages + .filter((message) => message.role !== 'system') + .filter((message) => message.content !== '') + + userMessages = consolidateMessages(userMessages) + + while (userMessages.length > 0 && userMessages[0].role !== 'user') { + userMessages.shift() + } + + return [systemMessage, ...userMessages] +} + +// 同じroleのメッセージを結合する +function consolidateMessages(messages: any[]) { + const consolidated: any[] = [] + let lastRole: string | null = null + let combinedContent = '' + + messages.forEach((message, index) => { + if (message.role === lastRole) { + combinedContent += '\n' + message.content + } else { + if (lastRole !== null) { + consolidated.push({ role: lastRole, content: combinedContent }) + } + lastRole = message.role + combinedContent = + typeof message.content === 'string' + ? message.content + : message.content[0].text + } + + if (index === messages.length - 1) { + consolidated.push({ role: lastRole, content: combinedContent }) + } + }) + + return consolidated +} diff --git a/src/pages/api/chat.ts b/src/pages/api/chat.ts deleted file mode 100644 index 0b72f406..00000000 --- a/src/pages/api/chat.ts +++ /dev/null @@ -1,38 +0,0 @@ -// import { Configuration, OpenAIApi } from "openai"; - -// import type { NextApiRequest, NextApiResponse } from "next"; - -// type Data = { -// message: string; -// }; - -// export default async function handler( -// req: NextApiRequest, -// res: NextApiResponse -// ) { -// const apiKey = req.body.apiKey || process.env.OPEN_AI_KEY; - -// if (!apiKey) { -// res -// .status(400) -// .json({ message: "APIキーが間違っているか、設定されていません。" }); - -// return; -// } - -// const configuration = new Configuration({ -// apiKey: apiKey, -// }); - -// const openai = new OpenAIApi(configuration); - -// const { data } = await openai.createChatCompletion({ -// model: "gpt-3.5-turbo", -// messages: req.body.messages, -// }); - -// const [aiRes] = data.choices; -// const message = aiRes.message?.content || "エラーが発生しました"; - -// res.status(200).json({ message: message }); -// } diff --git a/src/pages/api/convertSlide.ts b/src/pages/api/convertSlide.ts index 2698e611..4b38271d 100644 --- a/src/pages/api/convertSlide.ts +++ b/src/pages/api/convertSlide.ts @@ -3,9 +3,17 @@ import formidable from 'formidable' import fs from 'fs' import path from 'path' import { createCanvas } from 'canvas' -import { OpenAI } from 'openai' import * as pdfjsLib from 'pdfjs-dist/legacy/build/pdf.mjs' +import { createOpenAI } from '@ai-sdk/openai' +import { createAnthropic } from '@ai-sdk/anthropic' +import { createGoogleGenerativeAI } from '@ai-sdk/google' +import { generateObject } from 'ai' + +import { multiModalAIServiceKey } from '@/features/stores/settings' + +type AIServiceConfig = Record any> + export const config = { api: { bodyParser: false, @@ -62,20 +70,40 @@ async function convertPdfToImages(pdfBuffer: Buffer): Promise { return images } +interface SlideLineResponse { + line: string + notes: string + page?: number +} + async function createSlideLine( imageBase64: string, apiKey: string, + aiService: string, model: string, selectLanguage: string, previousResult: string | null -) { - const client = new OpenAI({ apiKey }) +): Promise { const additionalPrompt = previousResult ? `Previous slide content: ${previousResult}` : 'This is the first slide.' - const response = await client.chat.completions.create({ - model: `${model}`, + const aiServiceConfig: AIServiceConfig = { + openai: () => createOpenAI({ apiKey }), + anthropic: () => createAnthropic({ apiKey }), + google: () => createGoogleGenerativeAI({ apiKey }), + } + + const aiServiceInstance = aiServiceConfig[aiService as multiModalAIServiceKey] + + if (!aiServiceInstance) { + throw new Error('Invalid AI service') + } + + const instance = aiServiceInstance() + + const response = await generateObject({ + model: instance(model), messages: [ { role: 'system', @@ -85,19 +113,21 @@ async function createSlideLine( role: 'user', content: [ { - type: 'image_url', - image_url: { - url: `${imageBase64}`, - }, + type: 'text', + text: '', + }, + { + type: 'image', + image: `${imageBase64}`, }, ], }, ], - response_format: { type: 'json_object' }, + output: 'no-schema', + mode: 'json', }) - const result = JSON.parse(response.choices[0].message?.content || '{}') - return result + return response.object as unknown as SlideLineResponse } async function handler(req: NextApiRequest, res: NextApiResponse) { @@ -109,17 +139,17 @@ async function handler(req: NextApiRequest, res: NextApiResponse) { return } + const getField = (fieldName: string) => { + const field = fields[fieldName] + return Array.isArray(field) ? field[0] : field + } + const file = Array.isArray(files.file) ? files.file[0] : files.file - const folderName = Array.isArray(fields.folderName) - ? fields.folderName[0] - : fields.folderName - const apiKey = Array.isArray(fields.apiKey) - ? fields.apiKey[0] - : fields.apiKey - const model = Array.isArray(fields.model) ? fields.model[0] : fields.model - const selectLanguage = Array.isArray(fields.selectLanguage) - ? fields.selectLanguage[0] - : fields.selectLanguage + const folderName = getField('folderName') + const aiService = getField('aiService') + const apiKey = getField('apiKey') + const model = getField('model') + const selectLanguage = getField('selectLanguage') if (!file) { res.status(400).send('No file uploaded') @@ -152,10 +182,11 @@ async function handler(req: NextApiRequest, res: NextApiResponse) { for (let i = 0; i < images.length; i++) { const imgBase64 = images[i] - if (apiKey && model) { + if (aiService && apiKey && model) { const slideLine = await createSlideLine( imgBase64, apiKey, + aiService, model, language, previousResult diff --git a/src/pages/api/google.ts b/src/pages/api/google.ts deleted file mode 100644 index d0288141..00000000 --- a/src/pages/api/google.ts +++ /dev/null @@ -1,67 +0,0 @@ -// import { NextApiRequest, NextApiResponse } from "next"; -// import { GoogleGenerativeAI } from "@google/generative-ai"; -// import { Message } from "@/features/messages/messages"; - -// export default async function handler( -// req: NextApiRequest, -// res: NextApiResponse -// ) { -// const { messages, apiKey, model, stream } = req.body; -// const systemMessage = messages.find((message: any) => message.role === "system"); -// let userMessages = messages.filter((message: any) => message.role !== "system"); - -// const genAI = new GoogleGenerativeAI(apiKey); -// const geminiModel = genAI.getGenerativeModel({ model: "models/" + model, systemInstruction: systemMessage.content }); - -// let filteredMessages = userMessages -// .filter((message: Message) => message.content !== "") -// .map((message: Message) => ({ -// role: message.role === "assistant" ? "model" : message.role, -// parts: [{ text: message.content }], -// })); - -// // 最初の要素の role が 'user' でなければ、その要素を除外 -// if (filteredMessages.length > 0 && filteredMessages[0].role !== 'user') { -// filteredMessages = filteredMessages.slice(1); -// } - -// const lastMessage = filteredMessages[filteredMessages.length - 1].parts[0].text; - -// if (stream) { -// res.writeHead(200, { -// "Content-Type": "text/event-stream", -// "Cache-Control": "no-cache", -// Connection: "keep-alive", -// }); - -// const chat = geminiModel.startChat({ -// history: filteredMessages, -// generationConfig: { -// maxOutputTokens: 200, -// }, -// }); - -// const result = await chat.sendMessageStream(lastMessage); - -// for await (const chunk of result.stream) { -// const text = await chunk.text(); -// console.log(text); -// res.write(`data: ${JSON.stringify({ text: text })}\n\n`); -// } - -// res.write("event: end\n\n"); -// res.end(); -// } else { -// const chat = await geminiModel.startChat({ -// history: filteredMessages, -// generationConfig: { -// maxOutputTokens: 200, -// }, -// }); - -// const result = await chat.sendMessage(lastMessage); -// const response = await result.response; - -// res.status(200).json({ message: response.text() }); -// } -// } diff --git a/src/pages/api/groq.ts b/src/pages/api/groq.ts deleted file mode 100644 index 25668202..00000000 --- a/src/pages/api/groq.ts +++ /dev/null @@ -1,130 +0,0 @@ -import { NextApiRequest, NextApiResponse } from 'next' -import Groq from 'groq-sdk' -import { Message } from '@/features/messages/messages' - -export default async function handler( - req: NextApiRequest, - res: NextApiResponse -) { - const { messages, apiKey, model, stream } = req.body - - console.log('Request body:', req.body) - - const client = new Groq({ apiKey }) - - const systemMessage = messages.find( - (message: any) => message.role === 'system' - ) - let userMessages = messages.filter( - (message: any) => message.role !== 'system' - ) - - userMessages = userMessages.filter( - (message: Message) => message.content !== '' - ) - - const consolidatedMessages: Message[] = [] - let lastRole: string | null = null - let combinedContent = '' - - userMessages.forEach((message: Message, index: number) => { - if (message.role === lastRole) { - combinedContent += '\n' + message.content - } else { - if (lastRole !== null) { - consolidatedMessages.push({ role: lastRole, content: combinedContent }) - } - lastRole = message.role - combinedContent = - typeof message.content === 'string' - ? message.content - : message.content[0].text - } - - // 最後のメッセージの場合、現在の内容を追加 - if (index === userMessages.length - 1) { - consolidatedMessages.push({ role: lastRole, content: combinedContent }) - } - }) - - userMessages = consolidatedMessages - - if (stream) { - res.writeHead(200, { - 'Content-Type': 'text/event-stream', - 'Cache-Control': 'no-cache', - Connection: 'keep-alive', - }) - - const stream = await client.chat.completions - .create({ - messages: [ - { role: 'system', content: systemMessage?.content }, - ...userMessages, - ], - model: model, - max_tokens: 200, - stream: true, - }) - .catch(async (err) => { - if (err instanceof Groq.APIError) { - res.write( - `data: ${JSON.stringify({ type: 'error', error: err })}\n\n` - ) - res.end() - } else { - throw err - } - }) - - if (stream) { - const reader = ( - stream as unknown as { - getReader: () => ReadableStreamDefaultReader - } - ).getReader() - const decoder = new TextDecoder('utf-8') - - while (true) { - const { done, value } = await reader.read() - - if (done) { - res.write(`data: ${JSON.stringify({ type: 'message_stop' })}\n\n`) - res.end() - break - } - - const chunk = decoder.decode(value, { stream: true }) - console.log('chunk:', chunk) - res.write( - `data: ${JSON.stringify({ type: 'content_block_delta', text: chunk })}\n\n` - ) - } - } - } else { - const response = await client.chat.completions - .create({ - messages: [ - { role: 'system', content: systemMessage?.content }, - ...userMessages, - ], - model: model, - max_tokens: 200, - }) - .catch(async (err) => { - if (err instanceof Groq.APIError) { - console.error('Groq API Error:', err) - if (err.status) { - res.status(err.status).json({ error: err }) - } - } else { - throw err - } - }) - - if (response) { - let messageContent = response.choices[0].message.content - res.status(200).json({ message: messageContent }) - } - } -} diff --git a/src/pages/api/openai.ts b/src/pages/api/openai.ts deleted file mode 100644 index 8b58b4e2..00000000 --- a/src/pages/api/openai.ts +++ /dev/null @@ -1,47 +0,0 @@ -import { NextApiRequest, NextApiResponse } from 'next' -import OpenAI from 'openai' -import { Message } from '@/features/messages/messages' - -export default async function handler( - req: NextApiRequest, - res: NextApiResponse -) { - const { messages, apiKey, model, stream } = req.body - - const client = new OpenAI({ apiKey }) - - if (stream) { - res.writeHead(200, { - 'Content-Type': 'text/event-stream', - 'Cache-Control': 'no-cache', - Connection: 'keep-alive', - }) - - const stream = await client.chat.completions.create({ - model: model, - messages: messages, - stream: true, - max_tokens: 200, - }) - - for await (const chunk of stream) { - const messagePiece = chunk.choices[0].delta.content - if (messagePiece) { - res.write( - `data: ${JSON.stringify({ type: 'content_block_delta', text: messagePiece })}\n\n` - ) - } - } - - res.write(`data: ${JSON.stringify({ type: 'message_stop' })}\n\n`) - res.end() - } else { - const response = await client.chat.completions.create({ - model: model, - messages: messages, - max_tokens: 200, - }) - - res.status(200).json({ message: response.choices[0].message.content }) - } -}