feat: add AG2 multi-agent document processing example

examples/ag2_multiagent_document_processing/README.md

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+# AG2 Multi-Agent Document Processing with Unstructured
+
+This example demonstrates how to use [AG2](https://ag2.ai/) (formerly AutoGen)
+multi-agent conversations with [Unstructured](https://unstructured.io/) for
+intelligent document processing and analysis.
+
+## Overview
+
+Two AG2 agents collaborate to process and analyze documents:
+
+- **Document Agent** -- Uses Unstructured to partition documents and extract
+  structured elements (text, tables, titles, narrative)
+- **Analyst Agent** -- Analyzes the extracted content, answers questions,
+  and produces summaries with source references
+
+## Prerequisites
+
+- Python >= 3.11
+- OpenAI API key
+- System dependencies: `libmagic-dev`, `poppler-utils`, `tesseract-ocr` (for PDF/image support)
+
+## Quick Start
+
+```bash
+# Install dependencies
+pip install "unstructured[all-docs]" "ag2[openai]>=0.11.4,<1.0"
+
+# Set API key
+export OPENAI_API_KEY="your-api-key"
+
+# Run the example (uses sample docs from example-docs/)
+python run.py
+
+# Or specify your own document
+python run.py --file /path/to/your/document.pdf
+```
+
+## How It Works
+
+1. **Unstructured** partitions a document into structured elements
+   (Title, NarrativeText, Table, ListItem, etc.)
+2. **AG2 Document Agent** wraps Unstructured as a registered tool, callable by agents
+3. **AG2 Analyst Agent** receives extracted elements and produces analysis
+4. Agents collaborate via AG2 GroupChat with automatic tool execution
+
+## Tech Stack
+
+- [AG2](https://ag2.ai/) -- Multi-agent conversation framework (500K+ monthly PyPI downloads)
+- [Unstructured](https://unstructured.io/) -- Document ETL for LLMs (25+ file types)