pip install whileai puts a whileai command on your path. Everything
else is Python.
Sign in
--no-browser prints the link only,
--no-wait returns at once so you can run it again to finish, --name
labels the key on your account (default cli <host>).
No browser at all, for example on a server:
Which key is in use
api_key= argument,
the WHILEAI_API_KEY environment variable, then the saved credentials
from login or signup. status says which one won.
Write an eval harness
evals/ (change with --dir): the agent
wrapper, a judge, a runner, a test that goes red in CI when the pass rate
drops, and a README. The three flags point at the callable, the tool list
and the system prompt as module:name. Leave them out and the command
looks for them in the project. --force overwrites files that are
already there.
What the harness computes and how to read it is on the
evals guide.
Read and promote what the platform tracks
The platform verbs a coding agent needs, as commands. Each is a thin call intowhileai.platform.
--json to print the API’s JSON and --api-key to use
a key other than the saved one. Errors exit 1 with the reason on stderr.
verdict defaults to the latest run’s target behavior; --behavior
picks another. live records a day of production traffic on the served
version: how many replies, how many failed a check, the median latency and
the spend, so the platform can compare production with the held-out
score.
The old
whileai purge command is gone. wai.purge_agent("name") and
wai.delete_empty_datasets(max_rows=2) remain in Python, both with
dry_run=True, until the ingest module is retired.