fix: provider CI health checks

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

@@ -3,8 +3,8 @@ name: docs-and-references
 description: Audit documentation freshness - docstrings vs signatures, broken links, architecture refs, docs site content accuracy
 trigger: schedule
 tool: claude-code
-timeout_minutes: 20
-max_turns: 30
+timeout_minutes: 40
+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 +87,35 @@ 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
+            .venv/bin/python - <<'PY'
+          from pathlib import Path
+
+          def replace_once(path: str, old: str, new: str) -> None:
+              target = Path(path)
+              text = target.read_text()
+              if old not in text:
+                  raise SystemExit(f"Could not patch {target}")
+              target.write_text(text.replace(old, new, 1))
+
+          replace_once(
+              "docs/notebook_source/4-providing-images-as-context.py",
+              "config_builder = dd.DataDesignerConfigBuilder()\n",
+              "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\n",
+          )
+          replace_once(
+              "docs/notebook_source/6-editing-images-with-image-context.py",
+              'num_records=5, dataset_name="tutorial-6-edited-images"',
+              'num_records=2, dataset_name="tutorial-6-edited-images"',
+          )
+          PY
+          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": "4ca15f91",
+   "id": "48e22ade",
    "metadata": {
     "nemo_colab_inject": true
    },
@@ -12,15 +12,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2cd80b1e",
+   "id": "818cd54c",
    "metadata": {},
    "source": [
     "# 🎨 Data Designer Tutorial: Providing Images as Context for Vision-Based Data Generation"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "f4907fbd",
+   "id": "d647ae72",
    "metadata": {},
    "source": [
     "#### 📚 What you'll learn\n",
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "64041401",
+   "id": "bb480625",
    "metadata": {},
    "source": [
     "### 📦 Import Data Designer\n",
@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a272a017",
+   "id": "925a998c",
    "metadata": {
     "nemo_colab_inject": true
    },
@@ -62,7 +62,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "786e739e",
+   "id": "e7fdd944",
    "metadata": {
     "nemo_colab_inject": true
    },
@@ -75,7 +75,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c71603f7",
+   "id": "f7d6f416",
    "metadata": {
     "nemo_colab_inject": true
    },
@@ -95,7 +95,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "798b74f0",
+   "id": "b9abde6c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -118,7 +118,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fcc79cd5",
+   "id": "a1c77bae",
    "metadata": {},
    "source": [
     "### ⚙️ Initialize the Data Designer interface\n",
@@ -131,7 +131,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d0c5ad95",
+   "id": "68b1d829",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -140,7 +140,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dde957c8",
+   "id": "8389f7ff",
    "metadata": {},
    "source": [
     "### 🏗️ Initialize the Data Designer Config Builder\n",
@@ -155,7 +155,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ed9f9c8d",
+   "id": "69aa26ef",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -164,7 +164,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1cfa8352",
+   "id": "8b41e1a8",
    "metadata": {},
    "source": [
     "### 🌱 Seed Dataset Creation\n",
@@ -181,7 +181,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ad5dcc9e",
+   "id": "7d4d6b79",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -196,7 +196,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "94f73f6a",
+   "id": "25db08ec",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -241,7 +241,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "641d0d6f",
+   "id": "99f8e510",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -259,7 +259,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4cc6da4d",
+   "id": "704b9fb8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -269,7 +269,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "82d962de",
+   "id": "26520718",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5a8fcb53",
+   "id": "2e183dbb",
    "metadata": {},
    "source": [
     "### 🧩 Media context and model capabilities\n",
@@ -317,7 +317,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "571b94a9",
+   "id": "3a7e6d36",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -339,7 +339,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f591a975",
+   "id": "aaad5a53",
    "metadata": {},
    "source": [
     "### 🔁 Iteration is key – preview the dataset!\n",
@@ -356,7 +356,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "25cdbea4",
+   "id": "5cb6556a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -366,7 +366,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6a2e9028",
+   "id": "464d9b59",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -377,7 +377,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f29e5a7a",
+   "id": "ed758a46",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -387,7 +387,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "48dd0ead",
+   "id": "cf99670b",
    "metadata": {},
    "source": [
     "### 📊 Analyze the generated data\n",
@@ -400,7 +400,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e0570168",
+   "id": "81323c51",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -410,7 +410,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "95fa4cea",
+   "id": "236dc69b",
    "metadata": {},
    "source": [
     "### 🔎 Visual Inspection\n",
@@ -421,7 +421,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "622d3d4a",
+   "id": "ad69c8f9",
    "metadata": {
     "lines_to_next_cell": 2
    },
@@ -445,7 +445,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a4e4b2ee",
+   "id": "68455649",
    "metadata": {},
    "source": [
     "### 🆙 Scale up!\n",
@@ -458,7 +458,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1fa4a946",
+   "id": "e7d28398",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -468,7 +468,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "cbdb22bc",
+   "id": "a977eca8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -481,7 +481,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e3c86efa",
+   "id": "a0977b4e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -493,7 +493,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2ac40b13",
+   "id": "e0ae9fbc",
    "metadata": {},
    "source": [
     "## ⏭️ Next Steps\n",