mirror of
https://github.com/supabase/supabase.git
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Upgrades `ai` from v5 to v6 and all related packages.
**Package bumps:**
- `ai`: `5.0.52` → `^6.0.116`
- `@ai-sdk/openai`: `2.0.32` → `^3.0.41`
- `@ai-sdk/react`: `2.0.52` → `^3.0.118`
- `@ai-sdk/provider`: `^2.0.0` → `^3.0.8`
- `@ai-sdk/provider-utils`: `^3.0.0` → `^4.0.19`
- `@ai-sdk/amazon-bedrock`: `^3.0.0` → `^4.0.81`
- `@ai-sdk/mcp`: N/A → `^1.0.25`
- `openai`: bumped to `^4.104.0`
- `braintrust`: `3.0.x` → `^3.4.0`
**Breaking change migrations:**
- `generateObject` removed in v6 — migrated 5 API routes to
`generateText` with `Output.object({ schema })`, returning
`result.output`
- `convertToModelMessages` is now async — added `await`
- MCP import path changed: `experimental_createMCPClient` from `ai` →
`createMCPClient` from `@ai-sdk/mcp`
- `openai()` defaults to Responses API — added `store: false` to
provider options for ZDR org compatibility
**Streaming fix:**
Added `Content-Encoding: none` header to `pipeUIMessageStreamToResponse`
calls. Without it, proxy middleware buffers the entire SSE response
before flushing, causing the full reply to appear at once.
**Zero Data Retention fix:**
In recent AI SDK versions, `openai()` default to Responses API instead
of the legacy chat completions API. This produces a 404 from OpenAI with
message `"Items are not persisted for Zero Data Retention organizations.
Remove this item from your input and try again."` The Responses API is
OpenAI's [recommended
endpoint](https://developers.openai.com/api/docs/guides/migrate-to-responses).
This PR adds `store: false` as mentioned in
https://github.com/vercel/ai/issues/10060 to avoid incompatible
persistence attempts.
**References:**
- https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0
-
https://ai-sdk.dev/docs/troubleshooting/streaming-not-working-when-proxied
- https://github.com/vercel/ai/issues/10060
Closes AI-514
Related AI-509
234 lines
6.2 KiB
TypeScript
234 lines
6.2 KiB
TypeScript
import pgMeta from '@supabase/pg-meta'
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import type { JwtPayload } from '@supabase/supabase-js'
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import { safeValidateUIMessages } from 'ai'
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import { IS_PLATFORM } from 'common'
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import { executeSql } from 'data/sql/execute-sql-query'
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import type { AiOptInLevel } from 'hooks/misc/useOrgOptedIntoAi'
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import { generateAssistantResponse } from 'lib/ai/generate-assistant-response'
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import { getModel } from 'lib/ai/model'
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import { getOrgAIDetails } from 'lib/ai/org-ai-details'
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import { getTools } from 'lib/ai/tools'
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import apiWrapper from 'lib/api/apiWrapper'
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import { executeQuery } from 'lib/api/self-hosted/query'
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import { getURL } from 'lib/helpers'
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import type { NextApiRequest, NextApiResponse } from 'next'
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import z from 'zod'
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export const maxDuration = 120
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export const config = {
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api: {
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bodyParser: {
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sizeLimit: '5mb',
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},
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},
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}
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async function handler(req: NextApiRequest, res: NextApiResponse, claims?: JwtPayload) {
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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, res, claims)
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default:
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res.setHeader('Allow', ['POST'])
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res.status(405).json({
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data: null,
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error: { message: `Method ${method} Not Allowed` },
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})
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}
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}
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const wrapper = (req: NextApiRequest, res: NextApiResponse) =>
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apiWrapper(req, res, handler, { withAuth: true })
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export default wrapper
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const requestBodySchema = z.object({
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messages: z.array(z.any()),
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projectRef: z.string(),
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connectionString: z.string(),
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schema: z.string().optional(),
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table: z.string().optional(),
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chatId: z.string().optional(),
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chatName: z.string().optional(),
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orgSlug: z.string().optional(),
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model: z.enum(['gpt-5', 'gpt-5-mini']).optional(),
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})
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async function handlePost(req: NextApiRequest, res: NextApiResponse, claims?: JwtPayload) {
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const authorization = req.headers.authorization
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const accessToken = authorization?.replace('Bearer ', '')
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if (IS_PLATFORM && !accessToken) {
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return res.status(401).json({ error: 'Authorization token is required' })
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}
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const userId = claims?.sub
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const body = typeof req.body === 'string' ? JSON.parse(req.body) : req.body
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const { data, error: parseError } = requestBodySchema.safeParse(body)
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if (parseError) {
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return res.status(400).json({ error: 'Invalid request body', issues: parseError.issues })
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}
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const {
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messages: rawMessages,
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projectRef,
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connectionString,
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orgSlug,
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chatId,
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chatName,
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model: requestedModel,
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} = data
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const messagesValidation = await safeValidateUIMessages({ messages: rawMessages })
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if (!messagesValidation.success) {
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return res
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.status(400)
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.json({ error: 'Invalid request body', message: messagesValidation.error.message })
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}
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const messages = messagesValidation.data
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let aiOptInLevel: AiOptInLevel = 'disabled'
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let isLimited = false
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let isHipaaEnabled = false
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let orgId: number | undefined
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let planId: string | undefined
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if (!IS_PLATFORM) {
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aiOptInLevel = 'schema'
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}
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if (IS_PLATFORM && orgSlug && authorization && projectRef) {
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try {
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// Get organizations and compute opt in level server-side
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const {
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aiOptInLevel: orgAIOptInLevel,
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isLimited: orgAILimited,
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isHipaaEnabled: orgIsHipaaEnabled,
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orgId: fetchedOrgId,
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planId: fetchedPlanId,
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} = await getOrgAIDetails({
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orgSlug,
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authorization,
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projectRef,
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})
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aiOptInLevel = orgAIOptInLevel
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isLimited = orgAILimited
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isHipaaEnabled = orgIsHipaaEnabled
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orgId = fetchedOrgId
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planId = fetchedPlanId
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} catch (error) {
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return res.status(400).json({
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error: 'There was an error fetching your organization details',
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})
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}
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}
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const {
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model,
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error: modelError,
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promptProviderOptions,
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providerOptions,
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} = await getModel({
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provider: 'openai',
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model: requestedModel ?? 'gpt-5',
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routingKey: projectRef,
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isLimited,
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})
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if (modelError) {
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return res.status(500).json({ error: modelError.message })
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}
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try {
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const abortController = new AbortController()
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req.on('close', () => abortController.abort())
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req.on('aborted', () => abortController.abort())
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const tools = await getTools({
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projectRef,
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connectionString,
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authorization,
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aiOptInLevel,
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accessToken,
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baseUrl: getURL(),
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})
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// Get a list of all schemas to add to context
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const getSchemas = async (): Promise<string> => {
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const pgMetaSchemasList = pgMeta.schemas.list()
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type Schemas = z.infer<(typeof pgMetaSchemasList)['zod']>
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const { result: schemas } = await executeSql<Schemas>(
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{
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projectRef,
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connectionString,
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sql: pgMetaSchemasList.sql,
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},
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undefined,
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{
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'Content-Type': 'application/json',
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...(authorization && { Authorization: authorization }),
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},
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IS_PLATFORM ? undefined : executeQuery
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)
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return schemas?.length > 0
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? `The available database schema names are: ${JSON.stringify(schemas)}`
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: "You don't have access to any schemas."
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}
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const result = await generateAssistantResponse({
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messages,
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model,
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tools,
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aiOptInLevel,
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getSchemas: aiOptInLevel !== 'disabled' ? getSchemas : undefined,
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projectRef,
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chatId,
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chatName,
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isHipaaEnabled,
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userId,
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orgId,
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planId,
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requestedModel,
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promptProviderOptions,
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providerOptions,
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abortSignal: abortController.signal,
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onSpanCreated: (spanId) => {
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res.setHeader('x-braintrust-span-id', spanId)
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},
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})
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result.pipeUIMessageStreamToResponse(res, {
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sendReasoning: true,
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headers: { 'Content-Encoding': 'none' },
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onError: (error) => {
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if (error == null) {
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return 'unknown error'
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}
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if (typeof error === 'string') {
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return error
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}
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if (error instanceof Error) {
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return error.message
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}
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return JSON.stringify(error)
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},
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})
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} catch (error) {
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console.error('Error in handlePost:', error)
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if (error instanceof Error) {
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return res.status(500).json({ message: error.message })
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}
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return res.status(500).json({ message: 'An unexpected error occurred.' })
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}
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}
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