capture-api-response-test-fixture

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, log the raw response output to the console and copy it into a new test fixture.

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.warn(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. Run the script from the `/example/ai-functions` folder via `pnpm tsx src/stream-text/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" });
});

About this skill

API Response Test Fixtures

generateText (doGenerate testing)