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* 💄 style: 拆分独立的 LLM Tab * ✨ feat: 支持 Azure OpenAI 调用 * 🚨 ci: fix types * 🗃️ fix: 补充数据迁移逻辑 * 🚸 style: 优化对用户的表达感知 * 💄 style: fix layout * 🚨 ci: fix circular dependencies * ✅ test: fix test * 🎨 chore: clean storage
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,7 +1,20 @@ | ||
| export const OPENAI_END_POINT = 'X-OPENAI-END_POINT'; | ||
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| export const OPENAI_API_KEY_HEADER_KEY = 'X-OPENAI-API-KEY'; | ||
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| export const USE_AZURE_OPENAI = 'X-USE_AZURE_OPENAI'; | ||
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| export const AZURE_OPENAI_API_VERSION = 'X-AZURE_OPENAI_API_VERSION'; | ||
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| export const LOBE_CHAT_ACCESS_CODE = 'X-LOBE_CHAT_ACCESS_CODE'; | ||
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| export const LOBE_PLUGIN_SETTINGS = 'X-LOBE_PLUGIN_SETTINGS'; | ||
| export const getOpenAIAuthFromRequest = (req: Request) => { | ||
| const apiKey = req.headers.get(OPENAI_API_KEY_HEADER_KEY); | ||
| const endpoint = req.headers.get(OPENAI_END_POINT); | ||
| const accessCode = req.headers.get(LOBE_CHAT_ACCESS_CODE); | ||
| const useAzureStr = req.headers.get(USE_AZURE_OPENAI); | ||
| const apiVersion = req.headers.get(AZURE_OPENAI_API_VERSION); | ||
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| const useAzure = !!useAzureStr; | ||
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| return { accessCode, apiKey, apiVersion, endpoint, useAzure }; | ||
| }; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,17 @@ | ||
| /** | ||
| * A white list of language models that are allowed to display and be used in the app. | ||
| */ | ||
| export const LanguageModelWhiteList = [ | ||
| // OpenAI | ||
| 'gpt-3.5-turbo', | ||
| 'gpt-3.5-turbo-16k', | ||
| 'gpt-4', | ||
| 'gpt-4-32k', | ||
| ]; | ||
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| export const DEFAULT_OPENAI_MODEL_LIST = [ | ||
| 'gpt-3.5-turbo', | ||
| 'gpt-3.5-turbo-16k', | ||
| 'gpt-4', | ||
| 'gpt-4-32k', | ||
| ]; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,43 @@ | ||
| import OpenAI from 'openai'; | ||
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| import { getOpenAIAuthFromRequest } from '@/const/fetch'; | ||
| import { ChatErrorType, ErrorType } from '@/types/fetch'; | ||
| import { OpenAIStreamPayload } from '@/types/openai'; | ||
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| import { checkAuth } from '../auth'; | ||
| import { createChatCompletion } from '../createChatCompletion'; | ||
| import { createErrorResponse } from '../error'; | ||
| import { createAzureOpenai } from './createAzureOpenai'; | ||
| import { createOpenai } from './createOpenai'; | ||
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| export const runtime = 'edge'; | ||
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| export default async function handler(req: Request) { | ||
| const payload = (await req.json()) as OpenAIStreamPayload; | ||
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| const { apiKey, accessCode, endpoint, useAzure, apiVersion } = getOpenAIAuthFromRequest(req); | ||
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| const result = checkAuth({ accessCode, apiKey }); | ||
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| if (!result.auth) { | ||
| return createErrorResponse(result.error as ErrorType); | ||
| } | ||
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| let openai: OpenAI; | ||
| if (useAzure) { | ||
| if (!apiVersion) return createErrorResponse(ChatErrorType.BadRequest); | ||
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| // `https://test-001.openai.azure.com/openai/deployments/gpt-35-turbo`, | ||
| const url = `${endpoint}/openai/deployments/${payload.model.replace('.', '')}`; | ||
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| openai = createAzureOpenai({ | ||
| apiVersion, | ||
| endpoint: url, | ||
| userApiKey: apiKey, | ||
| }); | ||
| } else { | ||
| openai = createOpenai(apiKey, endpoint); | ||
| } | ||
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| return createChatCompletion({ openai, payload }); | ||
| } |
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