Add ChartQA to catalog

.github/workflows/badge-chartqa.yml

@@ -0,0 +1,29 @@
+name: Badge - ChartQA
+
+on:
+  workflow_run:
+    workflows:
+      - Examples - ChartQA
+    types: [completed]
+
+  workflow_dispatch:
+
+permissions:
+  actions: read
+  contents: read
+
+jobs:
+  badge:
+    if: ${{ github.event_name == 'workflow_dispatch' || (github.event_name == 'workflow_run' && github.event.workflow_run.head_branch == 'main') }}
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/github-script@v8
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const badgeAggregation = require('./scripts/badge_aggregation.js');
+            const dependencies = [
+              { workflow: 'examples-chartqa.yml', label: 'chartqa', variants: ['stable'] },
+            ];
+            await badgeAggregation({ github, context, core, dependencies });

.github/workflows/badge-examples.yml

@@ -11,6 +11,7 @@ on:
       - Examples - Azure
       - Examples - Claude Code
       - Examples - RAG
+      - Examples - ChartQA
     types: [completed]
 
   workflow_dispatch:
@@ -39,5 +40,6 @@ jobs:
               { workflow: 'examples-azure.yml', label: 'examples-azure.stable', variants: ['stable'] },
               { workflow: 'examples-claude-code.yml', label: 'examples-claude-code.stable', variants: ['stable'] },
               { workflow: 'examples-rag.yml', label: 'examples-rag.stable', variants: ['stable'] },
+              { workflow: 'examples-chartqa.yml', label: 'examples-chartqa.stable', variants: ['stable'] },
             ];
             await badgeAggregation({ github, context, core, dependencies });

docs/how-to/examples-catalog.md

@@ -30,6 +30,14 @@
 
     [:octicons-repo-24: Browse source]({{ src("examples/calc_x") }})
 
+-   :material-chart-box:{ .lg .middle } __ChartQA vision-language RL__
+
+    ---
+
+    LangGraph-powered workflow for answering chart questions end to end: rollout the multi-modality agent with GPT or vLLM, and train with VERL/GRPO plus self-refinement loops.
+
+    [:octicons-repo-24: Browse source]({{ src("examples/chartqa") }})
+
 -   :material-code-braces:{ .lg .middle } __Claude Code SWE-bench__
 
     ---

examples/README.md

@@ -7,6 +7,7 @@ This catalog highlights the examples shipped with Agent-lightning.
 | [apo](./apo) | Automatic Prompt Optimization tutorials covering built-in, custom, and debugging workflows. | [![apo workflow status](https://github.com/microsoft/agent-lightning/actions/workflows/badge-apo.yml/badge.svg)](https://github.com/microsoft/agent-lightning/actions/workflows/examples-apo.yml) |
 | [azure](./azure) | Supervised fine-tuning with Azure OpenAI. | [![azure workflow status](https://github.com/microsoft/agent-lightning/actions/workflows/badge-azure.yml/badge.svg)](https://github.com/microsoft/agent-lightning/actions/workflows/examples-azure.yml) |
 | [calc_x](./calc_x) | VERL-powered math reasoning agent training that uses AutoGen with an MCP calculator tool. | [![calc_x workflow status](https://github.com/microsoft/agent-lightning/actions/workflows/badge-calc-x.yml/badge.svg)](https://github.com/microsoft/agent-lightning/actions/workflows/examples-calc-x.yml) |
+| [chartqa](./chartqa) | Vision-language ChartQA agent that reasons over charts with LangGraph and VERL plus multi-step self-refinement. | [![chartqa workflow status](https://github.com/microsoft/agent-lightning/actions/workflows/badge-chartqa.yml/badge.svg)](https://github.com/microsoft/agent-lightning/actions/workflows/examples-chartqa.yml) |
 | [claude_code](./claude_code) | Claude Code SWE-bench harness that records Agent-lightning traces across Anthropic, vLLM, and OpenAI-compatible backends. | [![claude_code workflow status](https://github.com/microsoft/agent-lightning/actions/workflows/badge-claude-code.yml/badge.svg)](https://github.com/microsoft/agent-lightning/actions/workflows/examples-claude-code.yml) |
 | [minimal](./minimal) | Bite-sized programs that demonstrate how individual Agent-lightning building blocks behave in isolation. | [![minimal workflow status](https://github.com/microsoft/agent-lightning/actions/workflows/badge-unit.yml/badge.svg)](https://github.com/microsoft/agent-lightning/actions/workflows/badge-unit.yml) |
 | [rag](./rag) | Retrieval-Augmented Generation pipeline targeting the MuSiQue dataset with Wikipedia retrieval. | [![rag workflow status](https://github.com/microsoft/agent-lightning/actions/workflows/badge-rag.yml/badge.svg)](https://github.com/microsoft/agent-lightning/actions/workflows/examples-rag.yml) |

examples/chartqa/README.md

@@ -1,5 +1,7 @@
 # ChartQA Example
 
+[![chartqa workflow status](https://github.com/microsoft/agent-lightning/actions/workflows/badge-chartqa.yml/badge.svg)](https://github.com/microsoft/agent-lightning/actions/workflows/examples-chartqa.yml)
+
 This example demonstrates training a visual reasoning agent on the ChartQA dataset using Agent-Lightning with the VERL algorithm and LangGraph framework. The agent answers questions about charts through a multi-step workflow with self-refinement. It's compatible with Agent-lightning v0.3.0 or later.
 
 ## Requirements