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Joao MouraandClaude Opus 5.5
be02ce4593
From the review on #8270, and João's call on the note: - The first `crewai eval` that infers the yes turns tracing on for the project (`CREWAI_TRACING_ENABLED=true` in `.env` and for the run) and says so once, in the command and in the run app: "Tracing is now on for this project…". Afterwards the project traces and nothing more is said. A run whose crew or flow sets `tracing=False` is never told its trace is sent. - The handshake's folder is found from the account's home in the account database, never `HOME` or `XDG_DATA_HOME`, so a project's `.env` cannot plant a token file that approves an upload. Both copies (crewai-core, the run app) are pinned to the same folder and file by a test. - The token file carries the AMP origins `crewai eval` trusted before the project's `.env` was loaded. A run it started sends the saved login only there over HTTPS or loopback; an AMP the `.env` chose gets an anonymous grant. - Evaluate on an untraced run carries that run's definition, inputs (prompted ones included) and trained-agents file into the re-run. The conversational flow consumes the request too, and a crew or flow that sets `tracing=False` says why it cannot be evaluated instead of paying for another run. - "The project changed" also sees deleted files: each evaluation keeps the list of the project's files (`.crewai/eval_project_state.json`) and the next one compares against it. That list is taken after this command's own project-id write, so the write is no change. - The OpenTelemetry override probes its provider and warns if an SDK version still records nothing, instead of failing silently. - The stale `sdk` case of `test_disabled_execution_does_not_collect_or_request_grants` is gone; the handshake tests are typed (type-checker CI). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
crewai-cli
CLI for CrewAI — scaffold, run, deploy and manage AI agent crews without installing the full framework.
Installation
pip install crewai-cli
This pulls in crewai-core (shared utilities) but not the crewai framework
itself, so commands that don't need a crew loaded — crewai version,
crewai login, crewai org list, crewai config *, crewai traces *,
crewai create, crewai template * — work standalone.
Commands that load a user's crew or flow (crewai run, crewai train,
crewai test, crewai chat, crewai replay, crewai reset-memories,
crewai deploy push, crewai tool publish) require crewai to be installed
in the project's environment. They print a clear error if it is missing.
To install both at once:
pip install crewai[cli]