Files
supabase/apps/studio/lib/ai/model.test.ts
T
Saxon FletcherandJoshen Lim bf004b8a1d Choose provider and model (#38267)
* choose provider and model

* fix test

* Fix lint

* Nit clean up

* add provider options and remove anthropic

* remove package

* use chat model and update prompt

* prompt rendering

* default to pro

* fix test

* low

* remove log

* remove redundant part.text

---------

Co-authored-by: Joshen Lim <joshenlimek@gmail.com>
2025-09-09 10:05:39 +00:00

100 lines
3.3 KiB
TypeScript

import { openai } from '@ai-sdk/openai'
import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest'
import * as bedrockModule from './bedrock'
import { getModel, ModelErrorMessage } from './model'
vi.mock('@ai-sdk/openai', () => ({
openai: { chat: vi.fn(() => 'openai-model') },
}))
vi.mock('./bedrock', async () => ({
...(await vi.importActual('./bedrock')),
createRoutedBedrock: vi.fn(() => async (modelId: string) => 'bedrock-model'),
checkAwsCredentials: vi.fn(),
}))
describe('getModel', () => {
const originalEnv = { ...process.env }
beforeEach(() => {
vi.resetAllMocks()
vi.stubEnv('AWS_BEDROCK_ROLE_ARN', 'test')
})
afterEach(() => {
process.env = { ...originalEnv }
})
it('should return bedrock model and promptProviderOptions when default supports caching', async () => {
vi.mocked(bedrockModule.checkAwsCredentials).mockResolvedValue(true)
vi.stubEnv('IS_THROTTLED', 'false')
const { model, error, promptProviderOptions } = await getModel({
routingKey: 'test',
isLimited: false,
})
expect(model).toEqual('bedrock-model')
// Default bedrock model supportsCaching=false in registry, but if caller
// specifies high-tier, provider options would be present
expect(promptProviderOptions === undefined || typeof promptProviderOptions === 'object').toBe(
true
)
expect(error).toBeUndefined()
})
it('should return bedrock model when throttled (limited) with default model', async () => {
vi.mocked(bedrockModule.checkAwsCredentials).mockResolvedValue(true)
vi.stubEnv('IS_THROTTLED', 'true')
const { model, error, promptProviderOptions } = await getModel({
routingKey: 'test',
isLimited: true,
})
expect(model).toEqual('bedrock-model')
expect(promptProviderOptions).toBeUndefined()
expect(error).toBeUndefined()
})
it('should return OpenAI model when AWS credentials are not available but OPENAI_API_KEY is set', async () => {
vi.mocked(bedrockModule.checkAwsCredentials).mockResolvedValue(false)
process.env.OPENAI_API_KEY = 'test-key'
const { model, promptProviderOptions } = await getModel({
routingKey: 'test',
isLimited: false,
})
expect(model).toEqual('openai-model')
// Default openai model in registry is gpt-5-mini
expect(openai.chat).toHaveBeenCalledWith('gpt-5-mini')
expect(promptProviderOptions).toBeUndefined()
})
it('should return error when neither AWS credentials nor OPENAI_API_KEY is available', async () => {
vi.mocked(bedrockModule.checkAwsCredentials).mockResolvedValue(false)
delete process.env.OPENAI_API_KEY
const { error } = await getModel({ routingKey: 'test-key', isLimited: false })
expect(error).toEqual(new Error(ModelErrorMessage))
})
it('returns specified provider and model when provided (openai gpt-5)', async () => {
vi.mocked(bedrockModule.checkAwsCredentials).mockResolvedValue(false)
process.env.OPENAI_API_KEY = 'test-key'
process.env.IS_THROTTLED = 'false'
const { model, error } = await getModel({
provider: 'openai',
model: 'gpt-5',
routingKey: 'rk',
isLimited: false,
})
expect(error).toBeUndefined()
expect(model).toEqual('openai-model')
expect(openai.chat).toHaveBeenCalledWith('gpt-5')
})
})