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1. Summary tags: Reverse the logic — for models like gpt-4.1 that wrap their actual response in <summary> tags (with thinking/CoT before it), extract the inner content instead of stripping it. Streaming uses a preflight buffer that waits for <summary>; if none appears, flushes everything normally. 2. TUI autocomplete: Change @mention accept key from Tab to right-arrow so autocomplete doesn't steal focus from the input widget. Only triggers when there's an active mention context with matches. 3. Tool output: Truncate tool results >4000 chars in LLM message history to prevent the model from echoing full file contents. Add soul-layer instruction telling the agent to summarize tool results rather than repeating them verbatim. Co-Authored-By: Claude Opus 4.6 <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]