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fix: provider CI health checks (#750)
* Fix provider CI health checks * Sync generated Colab notebooks * Address bot review feedback * Align docs audit timeout metadata * Address review feedback on CI retries
1 parent 242a890 commit 0a1907e

13 files changed

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

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Original file line numberDiff line numberDiff line change
@@ -3,8 +3,8 @@ name: docs-and-references
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description: Audit documentation freshness - docstrings vs signatures, broken links, architecture refs, docs site content accuracy
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trigger: schedule
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tool: claude-code
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timeout_minutes: 20
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max_turns: 30
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timeout_minutes: 40
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max_turns: 50
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permissions:
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contents: write
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---

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

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Original file line numberDiff line numberDiff line change
@@ -55,18 +55,27 @@ jobs:
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echo "Claude CLI version: $(claude --version 2>&1 || true)"
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if [ -n "$ANTHROPIC_BASE_URL" ] && [ -n "$ANTHROPIC_API_KEY" ]; then
58-
HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" \
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--max-time 30 \
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-X POST "${ANTHROPIC_BASE_URL}/v1/messages" \
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-H "Content-Type: application/json" \
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-H "x-api-key: ${ANTHROPIC_API_KEY}" \
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-H "anthropic-version: 2023-06-01" \
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-d "{\"model\":\"${AGENTIC_CI_MODEL}\",\"max_tokens\":5,\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}")
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if [ "$HTTP_CODE" -lt 200 ] || [ "$HTTP_CODE" -ge 300 ]; then
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echo "::error::API pre-flight failed with HTTP ${HTTP_CODE}"
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exit 1
68-
fi
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echo "API pre-flight passed (HTTP ${HTTP_CODE})"
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for ATTEMPT in 1 2 3; do
59+
if ! HTTP_CODE=$(curl -sS -o /dev/null -w "%{http_code}" \
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--max-time 30 \
61+
-X POST "${ANTHROPIC_BASE_URL}/v1/messages" \
62+
-H "Content-Type: application/json" \
63+
-H "x-api-key: ${ANTHROPIC_API_KEY}" \
64+
-H "anthropic-version: 2023-06-01" \
65+
-d "{\"model\":\"${AGENTIC_CI_MODEL}\",\"max_tokens\":5,\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}"); then
66+
HTTP_CODE="000"
67+
fi
68+
if [ "$HTTP_CODE" -ge 200 ] && [ "$HTTP_CODE" -lt 300 ]; then
69+
echo "API pre-flight passed (HTTP ${HTTP_CODE})"
70+
break
71+
fi
72+
if [ "$ATTEMPT" = "3" ]; then
73+
echo "::error::API pre-flight failed with HTTP ${HTTP_CODE}"
74+
exit 1
75+
fi
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echo "API pre-flight failed with HTTP ${HTTP_CODE}; retrying (${ATTEMPT}/3)"
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sleep $((ATTEMPT * 10))
78+
done
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fi
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- name: Run issue triage recipe

‎.github/workflows/build-notebooks.yml‎

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Original file line numberDiff line numberDiff line change
@@ -87,7 +87,12 @@ jobs:
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echo "No previous successful run found, proceeding without cache"
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fi
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- name: Convert and execute notebooks
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run: make convert-execute-notebooks ${{ inputs.use_cache && 'USE_CACHE=1' || '' }}
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run: |
91+
if [ "$GITHUB_EVENT_NAME" = "schedule" ]; then
92+
export DATA_DESIGNER_SKIP_NVIDIA_VISION_HEALTH_CHECK=1
93+
export DATA_DESIGNER_FLUX_2_PRO_CREATE_NUM_RECORDS=2
94+
fi
95+
make convert-execute-notebooks ${{ inputs.use_cache && 'USE_CACHE=1' || '' }}
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- name: Upload notebooks as artifacts
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uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
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with:

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

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Original file line numberDiff line numberDiff line change
@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "markdown",
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"id": "4ca15f91",
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"id": "6cf6b900",
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"metadata": {
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"nemo_colab_inject": true
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},
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},
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{
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"cell_type": "markdown",
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"id": "2cd80b1e",
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"id": "9336f640",
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"metadata": {},
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"source": [
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"# 🎨 Data Designer Tutorial: Providing Images as Context for Vision-Based Data Generation"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f4907fbd",
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"id": "439d7fec",
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"metadata": {},
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"source": [
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"#### 📚 What you'll learn\n",
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},
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{
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"cell_type": "markdown",
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"id": "64041401",
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"id": "e3b8eb25",
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"metadata": {},
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"source": [
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"### 📦 Import Data Designer\n",
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},
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{
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"cell_type": "markdown",
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"id": "a272a017",
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"id": "8d8e8db6",
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"metadata": {
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"nemo_colab_inject": true
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "786e739e",
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"id": "43eba549",
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"metadata": {
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"nemo_colab_inject": true
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c71603f7",
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"id": "d4430cdf",
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"metadata": {
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"nemo_colab_inject": true
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "798b74f0",
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"id": "39965c9f",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Standard library imports\n",
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"import base64\n",
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"import io\n",
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"import os\n",
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"import uuid\n",
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"\n",
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"# Third-party imports\n",
@@ -118,7 +119,7 @@
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},
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{
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"cell_type": "markdown",
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"id": "fcc79cd5",
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"id": "091fe0ae",
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"metadata": {},
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"source": [
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"### ⚙️ Initialize the Data Designer interface\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d0c5ad95",
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"id": "aec3b66d",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "dde957c8",
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"id": "cc437623",
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"metadata": {},
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"source": [
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"### 🏗️ Initialize the Data Designer Config Builder\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ed9f9c8d",
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"id": "70641660",
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"metadata": {},
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"outputs": [],
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"source": [
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"config_builder = dd.DataDesignerConfigBuilder()"
163+
"config_builder = dd.DataDesignerConfigBuilder()\n",
164+
"if os.environ.get(\"DATA_DESIGNER_SKIP_NVIDIA_VISION_HEALTH_CHECK\"):\n",
165+
" for model_config in config_builder.model_configs:\n",
166+
" if model_config.alias == \"nvidia-vision\":\n",
167+
" model_config.skip_health_check = True\n",
168+
" break"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1cfa8352",
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"id": "d46b40e2",
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"metadata": {},
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"source": [
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"### 🌱 Seed Dataset Creation\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ad5dcc9e",
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"id": "69a574fc",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "94f73f6a",
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"id": "af034de4",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "641d0d6f",
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"id": "8edc7072",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4cc6da4d",
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"id": "c8dc4c96",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "82d962de",
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"id": "f993932b",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "5a8fcb53",
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"id": "7c8ac017",
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"metadata": {},
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"source": [
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"### 🧩 Media context and model capabilities\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "571b94a9",
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"id": "1ea97eea",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "f591a975",
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"id": "c2975763",
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"metadata": {},
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"source": [
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"### 🔁 Iteration is key – preview the dataset!\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "25cdbea4",
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"id": "44a36e82",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6a2e9028",
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"id": "e8c1e22a",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f29e5a7a",
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"id": "db06e0d0",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "48dd0ead",
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"id": "5d9f8a3a",
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"metadata": {},
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"source": [
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"### 📊 Analyze the generated data\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e0570168",
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"id": "afafea71",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "95fa4cea",
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"id": "b215ce02",
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"metadata": {},
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"source": [
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"### 🔎 Visual Inspection\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "622d3d4a",
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"id": "e520ad19",
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"metadata": {
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"lines_to_next_cell": 2
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},
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},
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{
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"cell_type": "markdown",
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"id": "a4e4b2ee",
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"id": "12830a2d",
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"metadata": {},
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"source": [
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"### 🆙 Scale up!\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1fa4a946",
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"id": "400f74d8",
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"metadata": {},
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"outputs": [],
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cbdb22bc",
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"id": "1ad0695d",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e3c86efa",
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"id": "3dc2ec79",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "2ac40b13",
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"id": "d82cf6ec",
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"metadata": {},
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"source": [
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"## ⏭️ Next Steps\n",

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