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Two review follow-ups, both rooted in @human_feedback methods: - Paused flow marked complete (Cursor): async human feedback makes kickoff RETURN a HumanFeedbackPending marker (not raise), which _run_flow_worker would stringify and report as a successful completion with exit 0. - Sync feedback breaks TUI (Cursor): default (sync) @human_feedback collects input via the flow runtime's Rich console.print + blocking input(), which interleaves with Textual and leaves the user unable to review output or submit feedback. run_declarative_flow now routes any flow whose declarative definition declares human feedback (_flow_uses_human_feedback) to the terminal path, where blocking input and Rich prompts work natively — regardless of interactivity. Non-feedback flows still get the TUI. Tests: test_flow_uses_human_feedback_detection, test_human_feedback_flow_uses_terminal_even_when_interactive. Fully interactive human feedback inside the TUI remains a separate follow-up. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RBYGqJHC2TMC6fonFziuuh
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]