Report

Report the current evo workspace from recorded state only. A report request is read-only, even if the user phrases it casually as "what happened?", "what got better?", "what should I pay attention to?", or "I just woke up".

Do not spend compute while reporting:

• Do not run evo run, evo gate check, benchmark commands, or project eval scripts.
• Do not run python bench.py, python slurm_eval.py, sbatch, srun, squeue, sacct, or scancel to verify a result.
• Do not create launcher, monitor, parsing, or analysis scripts.
• Do not edit files.

Use stored evo state instead: evo report, evo status, evo tree, evo frontier, evo show <id>, evo diff <id>, and immutable artifacts under .evo/run_*/experiments/<exp>/attempts/<NNN>/.

For chart requests, render the dashboard's scatter plot as a colored terminal block, one chart per run, sized to the current terminal.

What it shows

Mirrors the web dashboard's score scatter (left rail of evo dashboard):

• X = experiment creation order, Y = score
• Dot color by status: green = committed valid result, red = failed, purple = active, grey = pending / evaluated / discarded / pruned
• ★ marks the current best valid committed-result experiment. pruned with prune_kind=exhausted can still be best; prune_kind=invalid and its descendants cannot.
• Yellow ring on dots that sit on the best-path spine (root → best)
• Yellow stair line traces cumulative-best across valid committed-result experiments
• ○ at the baseline for experiments that have no score yet (active / pending)

Every run in the workspace is rendered, stacked top-to-bottom, with a header line showing run_id · target · metric.

How to invoke

Run:

evo report

That is it. Print the output verbatim in your reply so the user sees the chart. Do not summarize the chart in prose, the visual is the point.

Flags: