fix: repair notebook CI by replacing dead vision model and adding missing API key

- Replace `meta/llama-4-scout-17b-16e-instruct` (no longer serving on
  build.nvidia.com) with `nvidia/nemotron-nano-12b-v2-vl` (project default)
  in tutorial notebook 4
- Add `OPENROUTER_API_KEY` to the `build-notebooks` workflow so notebooks
  5 and 6 (which use OpenRouter for image generation) can authenticate
- Regenerate colab notebooks to reflect the model change

Author: andreatgretel

.github/workflows/build-notebooks.yml

@@ -4,14 +4,15 @@ on:
   workflow_dispatch:
   schedule:
     - cron: "0 12 * * MON"
-  
+
 jobs:
   build:
     runs-on: ubuntu-latest
     permissions:
       contents: write
     env:
       NVIDIA_API_KEY: ${{ secrets.NVIDIA_API_KEY }}
+      OPENROUTER_API_KEY: ${{ secrets.TEST_OPENROUTER_API_KEY }}
     steps:
       - name: Checkout repository
         uses: actions/checkout@v2

docs/colab_notebooks/1-the-basics.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "f80a5317",
+   "id": "45518a9f",
    "metadata": {},
    "source": [
     "# 🎨 Data Designer Tutorial: The Basics\n",
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f94e1097",
+   "id": "5fdc5dc3",
    "metadata": {},
    "source": [
     "### 📦 Import Data Designer\n",
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "847f7d3b",
+   "id": "dbcd0f47",
    "metadata": {},
    "source": [
     "### ⚡ Colab Setup\n",
@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ef72fc77",
+   "id": "a993b5bf",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +48,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "cfa5d568",
+   "id": "075007ac",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "dc6a83bf",
+   "id": "b2ebef7a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1d2f7999",
+   "id": "f58b60b0",
    "metadata": {},
    "source": [
     "### ⚙️ Initialize the Data Designer interface\n",
@@ -89,7 +89,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a073af81",
+   "id": "0db0e06f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -98,7 +98,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "92c42c7d",
+   "id": "a7faf4d3",
    "metadata": {},
    "source": [
     "### 🎛️ Define model configurations\n",
@@ -115,7 +115,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "45ae1dbf",
+   "id": "c8f7acb1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -145,7 +145,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "35d0b3af",
+   "id": "8626355d",
    "metadata": {},
    "source": [
     "### 🏗️ Initialize the Data Designer Config Builder\n",
@@ -160,7 +160,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0c957c0b",
+   "id": "a6acf698",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +169,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "132e10d6",
+   "id": "ba922526",
    "metadata": {},
    "source": [
     "## 🎲 Getting started with sampler columns\n",
@@ -186,7 +186,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b62b30fd",
+   "id": "c968224a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -195,7 +195,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "04df17aa",
+   "id": "1de6016f",
    "metadata": {},
    "source": [
     "Let's start designing our product review dataset by adding product category and subcategory columns.\n"
@@ -204,7 +204,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "cb62478e",
+   "id": "84abc84e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -285,7 +285,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "889beb4b",
+   "id": "36b85598",
    "metadata": {},
    "source": [
     "Next, let's add samplers to generate data related to the customer and their review.\n"
@@ -294,7 +294,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e2746105",
+   "id": "8023d6a8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -331,7 +331,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9fcf1a92",
+   "id": "3e44a399",
    "metadata": {},
    "source": [
     "## 🦜 LLM-generated columns\n",
@@ -346,7 +346,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6e6ac591",
+   "id": "9a2f8c4e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -382,7 +382,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "35332948",
+   "id": "6d51de88",
    "metadata": {},
    "source": [
     "### 🔁 Iteration is key – preview the dataset!\n",
@@ -399,7 +399,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e2830ad2",
+   "id": "e6f56af6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -409,7 +409,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "911fecd7",
+   "id": "b786c171",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -420,7 +420,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "46faf8e9",
+   "id": "cb4ab4fa",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -430,7 +430,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3565f974",
+   "id": "e915db4c",
    "metadata": {},
    "source": [
     "### 📊 Analyze the generated data\n",
@@ -443,7 +443,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6effb2c0",
+   "id": "6c79d1f9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -453,7 +453,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5b63d3ec",
+   "id": "83616444",
    "metadata": {},
    "source": [
     "### 🆙 Scale up!\n",
@@ -466,7 +466,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0214e011",
+   "id": "5c87397a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -476,7 +476,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "11560d0f",
+   "id": "5fcc3375",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -489,7 +489,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "246f210c",
+   "id": "8d4acda5",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -501,7 +501,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f9f91c1d",
+   "id": "760f62f7",
    "metadata": {},
    "source": [
     "## ⏭️ Next Steps\n",