Files
supabase/apps/studio/pages/api/ai/sql/cron-v2.ts
Matt Rossman 3fcb6cbe2c fix(studio): pass providerOptions to all AI SDK calls (#43031)
`reasoningEffort: 'minimal'` was
[configured](https://github.com/supabase/supabase/blob/d5cc70560d/apps/studio/lib/ai/model.utils.ts#L55-L59)
in the provider registry but `getModel()` returns it as a separate value
that callers must destructure and forward — and 7 of 8 endpoints weren't
doing so. This meant `gpt-5-mini` (a reasoning model) was running at
default reasoning effort for every call.

This PR destructures `providerOptions` from `getModel()` and passes it
to `generateObject`/`generateText` in all affected endpoints.

## Benchmark (local, median of 5 runs)

| Endpoint | Before (s) | After (s) | Speedup |
|----------|-----------|----------|---------|
| title-v2 | 7.0 | 1.9 | 3.7x |
| cron-v2 | 2.3 | 0.9 | 2.6x |
| filter-v1 | 5.8 | 2.2 | 2.6x |
| feedback/classify | 3.5 | 0.9 | 3.9x |
| feedback/rate | 2.9 | 0.9 | 3.2x |

`code/complete` and `policy` also received the fix but aren't
benchmarked here as they require a live DB connection and use multi-step
tool calls (separate latency concern tracked in AI-419).

To test the SQL naming, visit the SQL Editor in sidebar, add some SQL
like:

```sql
create table todos (                                                                                                 
  id serial primary key,                                                                                             
  task text not null,                                                                                                
  completed boolean default false
);
```

Right click on the snippet, "Rename" and "Rename with Supabase AI"

Closes AI-443
2026-02-20 11:36:06 -05:00

117 lines
3.5 KiB
TypeScript

import { generateObject } from 'ai'
import { source } from 'common-tags'
import { getModel } from 'lib/ai/model'
import apiWrapper from 'lib/api/apiWrapper'
import { NextApiRequest, NextApiResponse } from 'next'
import { z } from 'zod'
const cronSchema = z.object({
cron_expression: z.string().describe('The generated cron expression.'),
})
async function handler(req: NextApiRequest, res: NextApiResponse) {
const { method } = req
switch (method) {
case 'POST':
return handlePost(req, res)
default:
res.setHeader('Allow', ['POST'])
res.status(405).json({ data: null, error: { message: `Method ${method} Not Allowed` } })
}
}
export async function handlePost(req: NextApiRequest, res: NextApiResponse) {
const {
body: { prompt },
} = req
if (!prompt) {
return res.status(400).json({
error: 'Prompt is required',
})
}
try {
const {
model,
error: modelError,
providerOptions,
} = await getModel({
provider: 'openai',
routingKey: 'cron',
})
if (modelError) {
return res.status(500).json({ error: modelError.message })
}
const result = await generateObject({
model,
providerOptions,
schema: cronSchema,
prompt: source`
You are a cron syntax expert. Your purpose is to convert natural language time descriptions into valid cron expressions for pg_cron.
Rules for responses:
- For standard intervals (minutes and above), output cron expressions in the 5-field format supported by pg_cron
- For second-based intervals, use the special pg_cron "x seconds" syntax
- Do not provide any explanation of what the cron expression does
- Do not ask for clarification if you need it. Just output the cron expression.
Example input: "Every Monday at 3am"
Example output: 0 3 * * 1
Example input: "Every 30 seconds"
Example output: 30 seconds
Additional examples:
- Every minute: * * * * *
- Every 5 minutes: */5 * * * *
- Every first of the month, at 00:00: 0 0 1 * *
- Every night at midnight: 0 0 * * *
- Every Monday at 2am: 0 2 * * 1
- Every 15 seconds: 15 seconds
- Every 45 seconds: 45 seconds
Field order for standard cron:
- minute (0-59)
- hour (0-23)
- day (1-31)
- month (1-12)
- weekday (0-6, Sunday=0)
Important: pg_cron uses "x seconds" for second-based intervals, not "x * * * *".
If the user asks for seconds, do not use the 5-field format, instead use "x seconds".
Here is the user's prompt: ${prompt}
`,
})
return res.json(result.object.cron_expression)
} catch (error) {
if (error instanceof Error) {
console.error(`AI cron generation failed: ${error.message}`)
// Check for context length error
if (error.message.includes('context_length') || error.message.includes('too long')) {
return res.status(400).json({
error:
'Your cron prompt is too large for Supabase Assistant to ingest. Try splitting it into smaller prompts.',
})
}
} else {
console.error(`Unknown error: ${error}`)
}
return res.status(500).json({
error: 'There was an unknown error generating the cron syntax. Please try again.',
})
}
}
const wrapper = (req: NextApiRequest, res: NextApiResponse) =>
apiWrapper(req, res, handler, { withAuth: true })
export default wrapper