Production-oriented Streamlit app for actuarial triangle diagnostics, reserving review, and AI commentary grounded on deterministic outputs.
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
streamlit run app.pySet OPENAI_API_KEY for live AI responses; otherwise deterministic fallback commentary is used.
pytest -qapp.py: Streamlit entrypoint.actuarygpt_workbench/pages/main_workspace.py: seven-section professional workspace.actuarygpt_workbench/services/*: ingestion, triangle, samples, export.actuarygpt_workbench/actuarial/*: diagnostics + reserving engines.actuarygpt_workbench/ai/copilot.py: structured AI service and prompt templates.tests/*: parsing, triangles, diagnostics, exports, sample model smoke.