`hermes doctor` ran every connectivity probe sequentially and on a typical
developer laptop spent ~2s of its ~5s wall time inside boto3's EC2
instance-metadata-service lookup (169.254.169.254) — the default
AWS credential chain probes IMDS even when AWS_BEARER_TOKEN_BEDROCK
or AWS_ACCESS_KEY_ID is the only legitimate source.
Refactor the API Connectivity section so every probe (OpenRouter,
Anthropic, ~16 static API-key providers + dynamic profiles, AWS
Bedrock) is a pure function returning a structured result, then
fan them out through a ThreadPoolExecutor(max_workers=8). Output
order, glyphs, colours, padding, and issue strings stay byte-for-byte
identical to the sequential implementation; results are gathered
in submission order.
Also disable IMDS for the parallel block by setting
AWS_EC2_METADATA_DISABLED=true on the parent thread before submitting
work (and restoring its prior value in a finally block). Bedrock's
real-API call gets a Config(connect_timeout=5, read_timeout=10,
retries={max_attempts:1}) so a transient regional failure can't pad
the run by 30+ seconds.
Measured impact (5-run medians, 9950X3D):
hermes doctor: 5.07 → 2.16 s (-57%)
Doctor tests: 48 passed (test_doctor.py + test_doctor_command_install.py).
The remaining ~2s of wall is import overhead + a couple of one-off
network calls outside the API Connectivity section (`fetch_models_dev`
provider catalog refresh, Nous OAuth refresh in `Auth Providers`).
Those are next-tier targets, not part of this change.
Teknium
e612c3d6f0