For provider response parsing tests, store test fixtures with the true responses from the providers (unless they are too large, in which case semantic-preserving trimming is acceptable).

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 examples under `/examples/ai-functions` to generate test fixtures.

## generateText (doGenerate testing)

For `generateText`, 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`, set `includeRawChunks` to `true` and use the special `saveRawChunks` helper. Run the script from the `/example/ai-functions` folder via `pnpm tsx src/stream-text/script-name.ts`. The result is stored in `/examples/ai-functions/output`. 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' });
});
```

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