mirror of
https://github.com/supabase/supabase.git
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153 lines
3.8 KiB
TypeScript
153 lines
3.8 KiB
TypeScript
import { SupabaseClient } from '@supabase/supabase-js'
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import { ApplicationError, clippy, UserError } from 'ai-commands/edge'
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import { NextRequest } from 'next/server'
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import OpenAI from 'openai'
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export const config = {
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runtime: 'edge',
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/* To avoid OpenAI errors, restrict to the Vercel Edge Function regions that
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overlap with the OpenAI API regions.
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Reference for Vercel regions: https://vercel.com/docs/edge-network/regions#region-list
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Reference for OpenAI regions: https://help.openai.com/en/articles/5347006-openai-api-supported-countries-and-territories
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*/
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regions: [
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'arn1',
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'bom1',
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'cdg1',
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'cle1',
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'cpt1',
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'dub1',
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'fra1',
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'gru1',
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'hnd1',
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'iad1',
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'icn1',
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'kix1',
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'lhr1',
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'pdx1',
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'sfo1',
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'sin1',
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'syd1',
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],
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}
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const openAiKey = process.env.OPENAI_API_KEY
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const supabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL
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const supabaseServiceKey = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY
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export default async function handler(req: NextRequest) {
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if (!openAiKey) {
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return new Response(
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JSON.stringify({
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error: 'No OPENAI_API_KEY set. Create this environment variable to use AI features.',
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}),
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{
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status: 500,
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headers: { 'Content-Type': 'application/json' },
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}
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)
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}
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if (!supabaseUrl) {
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return new Response(
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JSON.stringify({
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error:
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'No NEXT_PUBLIC_SUPABASE_URL set. Create this environment variable to use AI features.',
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}),
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{
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status: 500,
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headers: { 'Content-Type': 'application/json' },
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}
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)
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}
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if (!supabaseServiceKey) {
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return new Response(
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JSON.stringify({
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error:
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'No NEXT_PUBLIC_SUPABASE_ANON_KEY set. Create this environment variable to use AI features.',
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}),
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{
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status: 500,
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headers: { 'Content-Type': 'application/json' },
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}
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)
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}
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const { method } = req
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switch (method) {
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case 'POST':
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return handlePost(req)
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default:
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return new Response(
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JSON.stringify({ data: null, error: { message: `Method ${method} Not Allowed` } }),
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{
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status: 405,
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headers: { 'Content-Type': 'application/json', Allow: 'POST' },
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}
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)
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}
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}
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async function handlePost(request: NextRequest) {
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const openai = new OpenAI({ apiKey: openAiKey })
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const body = await (request.json() as Promise<{
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messages: { content: string; role: 'user' | 'assistant' }[]
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}>)
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const { messages } = body
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if (!messages) {
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throw new UserError('Missing messages in request data')
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}
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const supabaseClient = new SupabaseClient(supabaseUrl!, supabaseServiceKey!)
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try {
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const response = await clippy(openai, supabaseClient, messages)
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// Proxy the streamed SSE response from OpenAI
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return new Response(response.body, {
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headers: {
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'Content-Type': 'text/event-stream',
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},
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})
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} catch (error: unknown) {
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console.error(error)
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if (error instanceof UserError) {
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return new Response(
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JSON.stringify({
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error: error.message,
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data: error.data,
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}),
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{
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status: 400,
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headers: { 'Content-Type': 'application/json' },
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}
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)
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} else if (error instanceof ApplicationError) {
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// Print out application errors with their additional data
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console.error(`${error.message}: ${JSON.stringify(error.data)}`)
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} else {
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// Print out unexpected errors as is to help with debugging
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console.error(error)
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}
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console.log('Returning generic 500 ApplicationError to client')
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// TODO: include more response info in debug environments
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return new Response(
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JSON.stringify({
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error: 'There was an error processing your request',
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}),
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{
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status: 500,
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headers: { 'Content-Type': 'application/json' },
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}
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)
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}
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}
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