Estimate the environmental impact (energy kWh, miles driven in a gas car, water for cooling, CO2e) for a single AI request given its token counts. Uses the EcoLogits life-cycle methodology.

Record one AI request's token usage into the local store so it shows up in reports. Use this to manually log usage from any client.

Summarize recorded AI usage and its environmental impact over a period (today, week, month, all), broken down by model.

Score how efficiently a conversation was set up (fewest prompts/rework). Pass the conversation turns. Returns a 0–100 score, grade, and actionable tips.

Run the efficiency coach over your most recent Claude Code sessions (reads transcript text on-demand, never stores it). Returns per-session scores, an average, wasted-rework tokens, and your top recurring tips.

Set the default confidence scenario for future estimates. conservative = lowest (min active params), midpoint = mean, high = max.

Backfill exact AI usage from Claude Code's local session transcripts (~/.claude/projects). Reads only token counts + metadata, never message content. Idempotent — safe to run repeatedly.

Record ESTIMATED usage for a Claude desktop/web conversation that doesn't expose token counts. Preferred: pass structured turns (the host extracts them from the page). Fallback: pass raw page_text and it will be parsed best-effort. Tokens are estimated with a BPE proxy and tagged 'estimated'.

Build a standalone HTML dashboard (charts of energy/carbon/water over time and by model) from your recorded usage. Returns the file path to open in a browser.