# 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

python test_framework.py

├── 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