Turn a CSV into a chart-backed analysis report

Goal

Goal: Upload a sales CSV and produce a single HTML report with interactive charts and numeric evidence.

Steps

1. Create an environment with pandas and plotly; upload the CSV with the Files API and mount it as a session resource. [data]
2. Require the report to lead with an actionable finding and support each claim with source numbers; label chart axes and units. [data]
3. Find report.html with client.beta.files.list(scope_id=session.id), download it, and verify data coverage, charts, and narrative. [data]
4. Independently recompute totals; if the environment loads Plotly from a CDN, use pinned assets or an allowlist in production. [data]

How to verify

The report exists, charts render, and every number can be recomputed from the CSV.

Troubleshooting

If `report.html` is absent, inspect tool errors and output paths in the event stream; do not mistake the input CSV for the report.