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1f6e327b3c
* feat(events): report machine size as a coarse band, not a core count
`runtime_context` says where a process runs but carries no capacity axis, and
its largest bucket is a catch-all: a gunicorn worker on a VM and
`python main.py > out.log` on a MacBook both report `non_interactive`. Docker
Desktop on a laptop reports `container` via /.dockerenv, and a Remote-SSH shell
on a server reports `vscode_terminal`. So "server or laptop" is not answerable
from it today.
Adds `cpu_band` to the common span attributes, so it rides every span the way
`runtime_context` does rather than sitting on `Crew Created` alone - which would
answer nothing for Flow-only, CLI-only or standalone-agent runs.
Six bands, powers of two, top one open-ended: 1-2, 3-4, 5-8, 9-16, 17-32, 33+.
Open-ended because the exact count is the fingerprint - the observed fleet
maximum is 512, and a span reporting 512 identifies one machine. The vocabulary
is closed and asserted, like KNOWN_CODING_AGENTS and KNOWN_RUNTIME_CONTEXTS.
The share_crew-gated exact `cpus` attribute and the four platform* attributes
are untouched. That gating was a deliberate 2024 classification of machine
fingerprint as shareable content (44e38b1d5), and this does not reverse it: a
band is a range, the gated attribute remains the precise value.
Documents a trap in the docstring rather than leaving it to be rediscovered:
os.cpu_count() reports HOST cores, not the cgroup quota, so a 1-vCPU pod on a
96-core node lands in 33+. Right for "what kind of machine", wrong for "what did
this run get" - os.process_cpu_count() gives the latter but needs 3.13, above
this package's floor.
Docs updated in en/ar/ko/pt-BR, in the default-on Execution Environment row,
stating explicitly that the band is a range and the exact count stays opt-in.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* docs(telemetry): say where the cpu band comes from
The Execution Environment row ended "Detection reads only whether known
environment variables are set, never their values". True for the assistant
and runtime-context fields, and wrong for the band this PR adds:
detect_cpu_band() reads os.cpu_count() (runtime_env.py:306) and touches no
environment variable. In a privacy disclosure table that is the kind of
inaccuracy worth a line.
Names the source explicitly and scopes the env-var sentence to the two
fields it actually describes. All four locales at parity.
pt-BR also takes the reviewer's wording fix: "um de uma lista fixa" ->
"um valor de uma lista fixa", and the missing comma before o `project_id`.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
crewai-core
Shared utilities used by both crewai and crewai-cli: version lookup, storage
paths, user-data helpers, telemetry, and the printer.
This package is a leaf — it has no dependency on the crewai framework — and is
pulled in transitively by crewai and crewai-cli. End users do not normally
install it directly.