feat(cli): --init-from — seed a run from a previous run's best program (#28)#30
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Addresses #28 (item 2, the clearest missing one). `--init-from <run_dir>` resolves a previous run's best program (best/best_program.py, falling back to the latest checkpoint) and uses it as the initial program, so chaining cycles (evolve -> reseed from best -> evolve) is a one-liner instead of manual file copying. Includes a positional-shift convenience so you can pass just the evaluator: `kai run --init-from <run_dir> evaluator.py -c config.yaml`. 4 unit tests (resolver: best/ dir, checkpoint fallback, absent; arg wiring). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Implements the top missing item from #28:
--init-from.Chaining cycles (evolve → reseed from best → evolve) currently means manually locating
run_0/best/best_program.pyand copying it overinitial_program.py. This flag makes it a one-liner.What it does
--init-from <run_dir>resolves that run's best program:best/best_program.py, falling back to the latestcheckpoints/checkpoint_*/best_program.py(numeric, not lexicographic).--init-fromset, a single positional is treated as the evaluator, sokai run --init-from <run_dir> evaluator.py -c config.yamlworks as written.cli.pyonly — no changes to the evolution core.Tests
4 unit tests (
tests/test_cli_init_from.py): resolver prefersbest/, falls back to the latest checkpoint by number, returnsNonewhen absent, and the flag parses.On the rest of #28
While here I checked the other items — several already exist:
kai compare(item 4 ✓),kai monitor(covers much of item 1's status/watch), and--target-score(partial item 3). Remaining nice-to-haves: a lightweight one-shotkai status <run_dir>andkai eval(item 5). Leaving #28 open for those.🤖 Generated with Claude Code