mirror of https://github.com/crewAIInc/crewAI.git synced 2026-07-09 00:45:16 +00:00

Files

Joao Moura 260f85e1b4 feat(cli): run declarative flows on the TUI with a headless terminal fallback

Declarative flows now run on the CrewRunApp TUI when interactive, matching
declarative crews and conversational flows. Headless contexts — CREWAI_DMN
(deploy), piped output, CI, any non-TTY — fall back to the direct-terminal
kickoff, gated by is_interactive() (folds in the CREWAI_DMN check and requires
a real TTY).

The TUI shows per-method progress: a new STEPS panel driven by flow method
events (FlowStarted / MethodExecutionStarted/Finished/Failed), each labeled
with its declarative call type (crew/agent/expression/…) read from the flow
definition. Crews/agents inside a method keep streaming in the main panel via
the existing crew/task/LLM handlers.

- crew_run_tui.py: _run_flow_worker (flow.kickoff in a thread worker; reuses
  _on_crew_done/_on_crew_failed + _stringify_output), _is_flow_run gate so crew
  rendering is byte-identical, flow-event subscriptions building _flow_steps,
  and the STEPS sidebar + flow-aware header.
- run_declarative_flow.py: is_interactive() branch → _run_declarative_flow_tui
  (EventListener, method-type map from flow._definition, crew-parity exit codes
  and deploy chaining) or the existing terminal path.

Deviation from the approved plan: gate on is_interactive() rather than
is_dmn_mode_enabled() alone, so non-TTY runs (CI/pipes/CliRunner) never launch
a TUI — this also keeps existing headless flow tests green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RBYGqJHC2TMC6fonFziuuh

2026-07-08 01:18:15 -07:00

src/crewai_cli

feat(cli): run declarative flows on the TUI with a headless terminal fallback

2026-07-08 01:18:15 -07:00

tests

feat(cli): run declarative flows on the TUI with a headless terminal fallback

2026-07-08 01:18:15 -07:00

pyproject.toml

feat: bump versions to 1.15.2 (#6477 )

2026-07-07 18:59:59 -07:00

README.md

refactor: extract CLI into standalone crewai-cli package

2026-05-06 20:46:46 +08:00

README.md

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]