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Replaces `gpt-5-mini` and `gpt-5` with `gpt-5.4-nano` and `gpt-5.3-codex` respectively. Clients with stale model IDs in IndexedDB will gracefully reset to the new defaults. While we can technically keep the existing models around, we've [opted](https://supabase.slack.com/archives/C051L8U2EJF/p1774283070517609?thread_ts=1773771991.871669&cid=C051L8U2EJF) to replace them w/ the newer models for simplicity. Basic completion endpoints use `'none'` reasoning level for optimal speed. Rationale for these models is they provide they best balance of intelligence/speed and cost. GPT-5.4-nano is less expensive (0.8x price), faster, and smarter than GPT-5-mini. GPT-5.4-mini would be even smarter but is 3x the price. GPT-5.3-Codex is ~1.4x the price of GPT-5, while GPT-5.4 would be 2x price, but 5.3-Codex is still a big intelligence boost from GPT-5. See [eval comparison](https://www.braintrust.dev/app/supabase.io/p/Assistant/experiments/mattrossman%2Fai-509-v2-upgrade-assistant-models-beyond-gpt-5-family-1774468619?c=master-1774458837&diff=between_experiments), scores are relatively stable and conciseness naturally improves on gpt-5.4-nano. Other change: - Fixed an eval test case to clarify that https://supabase.help is also a correct URL for submitting support ticket, which was unfairly scored as incorrect [here](https://www.braintrust.dev/app/supabase.io/p/Assistant/trace?object_type=experiment&object_id=5244cccd-23b2-4f79-9dd2-287f1b40ebad&r=bac9b903-8bde-4c21-99dd-e0ed141c4f9e&s=f248fbf5-75bf-4aab-be0a-87a4298e6d11) I sanity checked the Assistant, natural language filters, and SQL Editor completions on staging preview. References: - https://openai.com/index/introducing-gpt-5-4-mini-and-nano/ - https://openai.com/index/introducing-gpt-5-3-codex/ - https://developers.openai.com/api/docs/pricing Closes AI-509
100 lines
3.2 KiB
TypeScript
100 lines
3.2 KiB
TypeScript
import { openai } from '@ai-sdk/openai'
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import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest'
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import * as bedrockModule from './bedrock'
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import { getModel } from './model'
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import { DEFAULT_COMPLETION_MODEL, openaiModelEntry } from './model.utils'
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vi.mock('@ai-sdk/openai', () => ({
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openai: vi.fn(() => 'openai-model'),
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}))
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vi.mock('./bedrock', async () => ({
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...(await vi.importActual('./bedrock')),
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createRoutedBedrock: vi.fn(() => async (_modelId: string) => 'bedrock-model'),
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checkAwsCredentials: vi.fn(),
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}))
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describe('getModel', () => {
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const originalEnv = { ...process.env }
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beforeEach(() => {
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vi.resetAllMocks()
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})
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afterEach(() => {
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process.env = { ...originalEnv }
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})
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it('returns bedrock model without promptProviderOptions', async () => {
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vi.mocked(bedrockModule.checkAwsCredentials).mockResolvedValue(true)
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vi.stubEnv('AWS_BEDROCK_ROLE_ARN', 'test')
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const { modelParams, error, promptProviderOptions } = await getModel({
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provider: 'bedrock',
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routingKey: 'test',
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})
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expect(modelParams?.model).toEqual('bedrock-model')
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expect(promptProviderOptions).toBeUndefined()
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expect(error).toBeUndefined()
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})
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it('returns error when bedrock credentials are not available', async () => {
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vi.mocked(bedrockModule.checkAwsCredentials).mockResolvedValue(false)
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const { error } = await getModel({ provider: 'bedrock', routingKey: 'test' })
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expect(error).toBeDefined()
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})
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it('returns openai model with default model', async () => {
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vi.stubEnv('OPENAI_API_KEY', 'test-key')
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const { modelParams, promptProviderOptions } = await getModel({
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provider: 'openai',
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modelEntry: openaiModelEntry({ id: 'gpt-5.4-nano' }),
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})
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expect(modelParams?.model).toEqual('openai-model')
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expect(openai).toHaveBeenCalledWith('gpt-5.4-nano')
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expect(promptProviderOptions).toBeUndefined()
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})
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it('returns error when OPENAI_API_KEY is not available', async () => {
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vi.stubEnv('OPENAI_API_KEY', '')
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const { error } = await getModel({
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provider: 'openai',
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modelEntry: openaiModelEntry({ id: 'gpt-5.4-nano' }),
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})
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expect(error).toEqual(new Error('OPENAI_API_KEY not available'))
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})
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it('returns openai gpt-5.3-codex when hasAccessToAdvanceModel and not throttled', async () => {
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vi.stubEnv('OPENAI_API_KEY', 'test-key')
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vi.stubEnv('IS_THROTTLED', 'false')
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const { modelParams, error } = await getModel({
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provider: 'openai',
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modelEntry: openaiModelEntry({ id: 'gpt-5.3-codex', reasoningEffort: 'low' }),
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})
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expect(error).toBeUndefined()
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expect(modelParams?.model).toEqual('openai-model')
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expect(openai).toHaveBeenCalledWith('gpt-5.3-codex')
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expect(modelParams?.providerOptions?.openai?.reasoningEffort).toBe('low')
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})
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it('applies reasoningEffort from DEFAULT_COMPLETION_MODEL', async () => {
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vi.stubEnv('OPENAI_API_KEY', 'test-key')
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const { modelParams, error } = await getModel({
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provider: 'openai',
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modelEntry: DEFAULT_COMPLETION_MODEL,
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})
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expect(error).toBeUndefined()
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expect(openai).toHaveBeenCalledWith('gpt-5.4-nano')
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expect(modelParams?.providerOptions?.openai?.reasoningEffort).toBe('none')
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})
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})
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