fix: provider CI health checks

.agents/recipes/docs-and-references/recipe.md

@@ -4,7 +4,7 @@ description: Audit documentation freshness - docstrings vs signatures, broken li
 trigger: schedule
 tool: claude-code
 timeout_minutes: 20
-max_turns: 30
+max_turns: 50
 permissions:
   contents: write
 ---

.github/workflows/agentic-ci-issue-triage.yml

@@ -55,18 +55,25 @@ jobs:
           echo "Claude CLI version: $(claude --version 2>&1 || true)"
 
           if [ -n "$ANTHROPIC_BASE_URL" ] && [ -n "$ANTHROPIC_API_KEY" ]; then
-            HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" \
-              --max-time 30 \
-              -X POST "${ANTHROPIC_BASE_URL}/v1/messages" \
-              -H "Content-Type: application/json" \
-              -H "x-api-key: ${ANTHROPIC_API_KEY}" \
-              -H "anthropic-version: 2023-06-01" \
-              -d "{\"model\":\"${AGENTIC_CI_MODEL}\",\"max_tokens\":5,\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}")
-            if [ "$HTTP_CODE" -lt 200 ] || [ "$HTTP_CODE" -ge 300 ]; then
-              echo "::error::API pre-flight failed with HTTP ${HTTP_CODE}"
-              exit 1
-            fi
-            echo "API pre-flight passed (HTTP ${HTTP_CODE})"
+            for ATTEMPT in 1 2 3; do
+              HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" \
+                --max-time 30 \
+                -X POST "${ANTHROPIC_BASE_URL}/v1/messages" \
+                -H "Content-Type: application/json" \
+                -H "x-api-key: ${ANTHROPIC_API_KEY}" \
+                -H "anthropic-version: 2023-06-01" \
+                -d "{\"model\":\"${AGENTIC_CI_MODEL}\",\"max_tokens\":5,\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}")
+              if [ "$HTTP_CODE" -ge 200 ] && [ "$HTTP_CODE" -lt 300 ]; then
+                echo "API pre-flight passed (HTTP ${HTTP_CODE})"
+                break
+              fi
+              if [ "$ATTEMPT" = "3" ]; then
+                echo "::error::API pre-flight failed with HTTP ${HTTP_CODE}"
+                exit 1
+              fi
+              echo "API pre-flight failed with HTTP ${HTTP_CODE}; retrying (${ATTEMPT}/3)"
+              sleep $((ATTEMPT * 10))
+            done
           fi
 
       - name: Run issue triage recipe

.github/workflows/build-notebooks.yml

@@ -87,7 +87,11 @@ jobs:
             echo "No previous successful run found, proceeding without cache"
           fi
       - name: Convert and execute notebooks
-        run: make convert-execute-notebooks ${{ inputs.use_cache && 'USE_CACHE=1' || '' }}
+        run: |
+          if [ "$GITHUB_EVENT_NAME" = "schedule" ]; then
+            export DATA_DESIGNER_FLUX_2_PRO_CREATE_NUM_RECORDS=2
+          fi
+          make convert-execute-notebooks ${{ inputs.use_cache && 'USE_CACHE=1' || '' }}
       - name: Upload notebooks as artifacts
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
         with:

docs/colab_notebooks/4-providing-images-as-context.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "cd505b79",
+   "id": "351a3662",
    "metadata": {
     "nemo_colab_inject": true
    },
@@ -12,15 +12,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ed119996",
+   "id": "17ecc2b8",
    "metadata": {},
    "source": [
     "# 🎨 Data Designer Tutorial: Providing Images as Context for Vision-Based Data Generation"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "d13a4cb5",
+   "id": "5ed7e603",
    "metadata": {},
    "source": [
     "#### 📚 What you'll learn\n",
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2924c2d1",
+   "id": "6f8c2761",
    "metadata": {},
    "source": [
     "### 📦 Import Data Designer\n",
@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4c6e4f22",
+   "id": "bbfa06b7",
    "metadata": {
     "nemo_colab_inject": true
    },
@@ -62,7 +62,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "98151070",
+   "id": "35fe9312",
    "metadata": {
     "nemo_colab_inject": true
    },
@@ -75,7 +75,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5490b9a8",
+   "id": "4dd4c002",
    "metadata": {
     "nemo_colab_inject": true
    },
@@ -95,7 +95,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7a66e1ce",
+   "id": "b67c1cd2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -118,7 +118,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3e7a28c6",
+   "id": "de03245a",
    "metadata": {},
    "source": [
     "### ⚙️ Initialize the Data Designer interface\n",
@@ -131,7 +131,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f31d6ac0",
+   "id": "4e46778f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -140,7 +140,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "14b063e4",
+   "id": "badc7737",
    "metadata": {},
    "source": [
     "### 🏗️ Initialize the Data Designer Config Builder\n",
@@ -155,16 +155,20 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d8fd37ae",
+   "id": "bc544dcb",
    "metadata": {},
    "outputs": [],
    "source": [
-    "config_builder = dd.DataDesignerConfigBuilder()"
+    "config_builder = dd.DataDesignerConfigBuilder()\n",
+    "for model_config in config_builder.model_configs:\n",
+    "    if model_config.alias == \"nvidia-vision\":\n",
+    "        model_config.skip_health_check = True\n",
+    "        break"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "3a7e0787",
+   "id": "77842781",
    "metadata": {},
    "source": [
     "### 🌱 Seed Dataset Creation\n",
@@ -181,7 +185,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b01b5496",
+   "id": "63f56ad9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -196,7 +200,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "78b3b9ea",
+   "id": "3d59a3fc",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -241,7 +245,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7b6b2908",
+   "id": "f8e794ea",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -259,7 +263,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e0ab09d5",
+   "id": "7a16b74e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -269,7 +273,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c9ce69ed",
+   "id": "26db3ac3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -280,7 +284,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "94528475",
+   "id": "fd0af217",
    "metadata": {},
    "source": [
     "### 🧩 Media context and model capabilities\n",
@@ -317,7 +321,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bd8148f4",
+   "id": "35153311",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -339,7 +343,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2150d704",
+   "id": "c0120b74",
    "metadata": {},
    "source": [
     "### 🔁 Iteration is key – preview the dataset!\n",
@@ -356,7 +360,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "85cf2067",
+   "id": "25cc4054",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -366,7 +370,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "509f00ed",
+   "id": "22315ca6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -377,7 +381,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8b1a7d15",
+   "id": "ee176135",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -387,7 +391,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9bf4843c",
+   "id": "cc653ea1",
    "metadata": {},
    "source": [
     "### 📊 Analyze the generated data\n",
@@ -400,7 +404,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d80d106d",
+   "id": "5af110d9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -410,7 +414,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ed22e721",
+   "id": "a462f684",
    "metadata": {},
    "source": [
     "### 🔎 Visual Inspection\n",
@@ -421,7 +425,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f41c068a",
+   "id": "55067aa0",
    "metadata": {
     "lines_to_next_cell": 2
    },
@@ -445,7 +449,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f096be05",
+   "id": "8446cd74",
    "metadata": {},
    "source": [
     "### 🆙 Scale up!\n",
@@ -458,7 +462,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c2efd0f8",
+   "id": "051275d5",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -468,7 +472,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1f7b5f60",
+   "id": "822d566f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -481,7 +485,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "dbb9ea18",
+   "id": "fc2124b6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -493,7 +497,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f7a1f3ba",
+   "id": "28120764",
    "metadata": {},
    "source": [
     "## ⏭️ Next Steps\n",