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`crewai deploy create` counts every attempt (`Create Crew Deployment`) and every success (`Crew Deployment Created`), but the gap between them carried no cause: among clients able to emit the success span, the CLI succeeds 96.7% of the time and the run TUI 36.4%, and nothing said why. A third span, `Crew Deployment Failed`, now fires for every failure after the attempt is counted, with a closed vocabulary `reason` (api_4xx, api_5xx, invalid_response, network_error, zip_error, user_declined, unexpected), the HTTP `status_code` when the API answered, and the existing `source`. Never the error message. The request path is factored into `_request_crew_creation`; every exception is classified, reported and re-raised unchanged, so CLI and TUI behaviour is the same as before. HTTP failures are classified before `_validate_response`, which still prints and exits as it did. Co-Authored-By: Claude Fable 5.1 <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]