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- Expose Braintrust span ID to client via `x-braintrust-span-id` response header, captured in chat transport - On feedback submission, call `logFeedback()` with `scores["User Rating"]` (1/0), `comment`, and on the root span assign `metadata.feedbackCategory` - Silently skipped when tracing is disabled (HIPAA, missing env vars) - Log `requestedModel` in trace metadata so we can see what model the user selected vs what was actually used after throttling Example traces: - [Thumbs up](https://www.braintrust.dev/app/supabase.io/p/Assistant/trace?object_type=project_logs&object_id=5a8d02e5-b3b6-40cc-ba76-ecee286478f4&r=0bb71680-784c-45c1-a234-cba0242562d6&s=0bb71680-784c-45c1-a234-cba0242562d6) - [Thumbs down + negative feedback](https://www.braintrust.dev/app/supabase.io/p/Assistant/trace?object_type=project_logs&object_id=5a8d02e5-b3b6-40cc-ba76-ecee286478f4&r=d5a78084-6c9a-4230-8615-1e864bb9bac7&s=d5a78084-6c9a-4230-8615-1e864bb9bac7) <img width="645" height="173" alt="CleanShot 2026-02-19 at 13 30 25@2x" src="https://github.com/user-attachments/assets/6c463e83-27c6-4afb-a8d0-a329ed61270a" /> Closes AI-442
233 lines
6.2 KiB
TypeScript
233 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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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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