ソース情報
- リポジトリ
- vercel/ai
- ソースの最終更新活動
- 2026年8月25日 21:04
- 検出された SKILL.md の言語
- 英語
- スター
- 27,341
- フォーク
- 5,353
インストール方法
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
ソースファイルを確認
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
SKILL.md を表示中
SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- capture-api-response-test-fixture
- description
- Capture API response test fixture.
- metadata
- {"internal":true}
### API Response Test Fixtures
For provider response parsing tests, we aim at storing test fixtures with the true responses from the providers (unless they are too large in which case some cutting that does not change semantics is advised).
The fixtures are stored in a `__fixtures__` subfolder, e.g. `packages/openai/src/responses/__fixtures__`. See the file names in `packages/openai/src/responses/__fixtures__` for naming conventions and `packages/openai/src/responses/openai-responses-language-model.test.ts` for how to set up test helpers.
You can use our examples under `/examples/ai-functions` to generate test fixtures.
#### generateText (doGenerate testing)
For `generateText`, put the script under `src/generate-text/<provider>/`, log the raw response output to the console, and copy it into a new test fixture.
```ts
import { openai } from '@ai-sdk/openai';
import { generateText } from 'ai';
import { run } from '../../lib/run';
run(async () => {
const result = await generateText({
model: openai('gpt-5-nano'),
prompt: 'Invent a new holiday and describe its traditions.',
});
console.log(JSON.stringify(result.response.body, null, 2));
});
```
#### streamText (doStream testing)
For `streamText`, you need to set `includeRawChunks` to `true` and use the special `saveRawChunks` helper. Put the script under the provider directory and run it from the `/examples/ai-functions` folder via `pnpm tsx src/stream-text/<provider>/<script-name>.ts`. The result is then stored in the `/examples/ai-functions/output` folder. You can copy it to your fixtures folder and rename it.
```ts
import { openai } from '@ai-sdk/openai';
import { streamText } from 'ai';
import { run } from '../../lib/run';
import { saveRawChunks } from '../../lib/save-raw-chunks';
run(async () => {
const result = streamText({
model: openai('gpt-5-nano'),
prompt: 'Invent a new holiday and describe its traditions.',
includeRawChunks: true,
});
await saveRawChunks({ result, filename: 'openai-gpt-5-nano' });
});
```
GitHubで見る