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- Introduced a `verbose` flag in the CLI for the `test` and `benchmark` commands to enable detailed logging of agent execution, including tool calls and LLM responses. - Updated the `_run_model_benchmark` and `_test_new_agents` functions to accept the `verbose` parameter, allowing for enhanced debugging during benchmark runs. - Implemented a `verbose_benchmark_output` context manager to manage logging output when verbose mode is enabled, improving the visibility of agent interactions. These changes enhance the debugging capabilities of the CrewAI framework, providing users with more insights during testing and benchmarking processes.
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]