diff --git a/sdks/node/examples/evaluateWithImages.ts b/sdks/node/examples/evaluateWithImages.ts
deleted file mode 100644
index dd12f0afffd..00000000000
--- a/sdks/node/examples/evaluateWithImages.ts
+++ /dev/null
@@ -1,71 +0,0 @@
-import {OpenAI} from 'openai';
-import 'source-map-support/register';
-import * as weave from 'weave';
-
-const sentences = [
-  'There are many fruits that were found on the recently discovered planet Goocrux. There are neoskizzles that grow there, which are purple and taste like candy.',
-  'Pounits are a bright green color and are more savory than sweet.',
-  'Finally, there are fruits called glowls, which have a very sour and bitter taste which is acidic and caustic, and a pale orange tinge to them.',
-  'There are many fruits that were found on the recently discovered planet Goocrux. There are neoskizzles that grow there, which are purple and taste like candy.',
-];
-const labels = [
-  {fruit: 'neoskizzles', color: 'purple', flavor: 'candy'},
-  {fruit: 'pounits', color: 'bright green', flavor: 'savory'},
-  {fruit: 'glowls', color: 'pale orange', flavor: 'sour and bitter'},
-];
-const examples = [
-  {id: '0', sentence: sentences[0], target: labels[0]},
-  {id: '1', sentence: sentences[1], target: labels[1]},
-  {id: '2', sentence: sentences[2], target: labels[2]},
-];
-
-const openaiClient = weave.wrapOpenAI(new OpenAI());
-
-const model = weave.op(async function myModel({datasetRow}) {
-  const prompt = `Extract fields ("fruit": <str>, "color": <str>, "flavor") from the following text, as json: ${datasetRow.sentence}`;
-  const response = await openaiClient.chat.completions.create({
-    model: 'gpt-3.5-turbo',
-    messages: [{role: 'user', content: prompt}],
-    response_format: {type: 'json_object'},
-  });
-  const result = response.choices[0].message.content;
-  if (result == null) {
-    throw new Error('No response from model');
-  }
-  if (datasetRow.id == '3') {
-    throw new Error('This is an error');
-  }
-  return JSON.parse(result);
-});
-
-async function main() {
-  await weave.init('examples');
-  const ds = new weave.Dataset({
-    id: 'Fruit Dataset',
-    rows: examples,
-  });
-  const evaluation = new weave.Evaluation({
-    dataset: ds,
-    scorers: [
-      weave.op(function fruitEqual({modelOutput, datasetRow}) {
-        return {
-          correct: modelOutput.fruit == datasetRow.target.fruit,
-        };
-      }),
-      weave.op(async function genImage({modelOutput, datasetRow}) {
-        const result = await openaiClient.images.generate({
-          prompt: `A fruit that's ${modelOutput.color} and ${modelOutput.flavor}`,
-          n: 1,
-          size: '256x256',
-          response_format: 'b64_json',
-        });
-        return result.data[0];
-      }),
-    ],
-  });
-
-  const results = await evaluation.evaluate({model});
-  console.log(JSON.stringify(results, null, 2));
-}
-
-main();