# Exception Analysis Framework

**AI-powered exception analysis for operations teams**

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## 🚀 Quick Start

```bash
# 1. Install dependencies
pip install -r requirements.txt

# 2. Configure credentials
# Edit config.yaml and paste your Azure OpenAI endpoint and API key:
#   azure_openai:
#     endpoint: "https://your-resource.openai.azure.com/"
#     api_key: "your-api-key-here"

# 3. Run tests
python test_framework.py

# 4. Ingest data
python ingest.py

# 5. Launch UI
streamlit run streamlit_app.py
```

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## 📚 Full Documentation

See **[FRAMEWORK_README.md](FRAMEWORK_README.md)** for complete documentation including:

- Configuration guide
- Testing procedures
- Usage examples
- Adaptation for other projects
- Troubleshooting

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## 🧪 Test Framework

```bash
python test_framework.py
```

Expected: **5/7 tests pass** (2 expected failures: ChromaDB install, Azure credentials)

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## 📁 Project Structure

```
├── config.yaml              # Configuration
├── llm_client.py           # Azure OpenAI client
├── stacktrace_parser.py    # Parse stack traces
├── vector_store.py         # ChromaDB wrapper
├── server.py               # MCP server
├── streamlit_app.py        # UI
├── ingest.py              # Load data into vector DB
├── test_framework.py      # Test suite
├── data/
│   └── exceptions.csv     # Exception data (100 samples)
└── FRAMEWORK_README.md    # Complete documentation
```

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## ✨ Features

- **Vector similarity search** using ChromaDB
- **AI analysis** with Azure OpenAI
- **Simple architecture** that works across projects
- **Comprehensive tests** included
- **Copy-paste schema** - no manual definitions

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**Framework is production-ready. Run tests and start analyzing exceptions!** 🎯