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* fix(core): map GPT-5.6 to the official 1.05M context window LiteLLM fallback treated Sol, Terra, Luna, and the gpt-5.6 alias as unknown and used the 8k default. * fix(openai): give GPT-5.6 its own 1.05M window Native lookup matched gpt-5 first, so Sol, Terra, and Luna inherited 1,047,576. Longest-prefix matching keeps gpt-5 and gpt-5.4-mini on their own sizes. * fix(azure): map GPT-5.6 deployments to the official 1.05M window Azure had no gpt-5 / gpt-5.6 entry, so Sol, Terra, and Luna fell back to 8k. * feat(cli): list GPT-5.6 Sol, Terra, and Luna in curated catalogs The family is generally available; keep gpt-5.5 as the offline default. * refactor: keep context-window tables in longest-prefix order Drop the runtime sort and document that new keys must be inserted longest-first so startswith matching stays correct. * fix(core): resolve prefixed LiteLLM models to the GPT-5.6 window openai/gpt-5.6-luna kept its provider prefix on self.model, so startswith matching missed the 1.05M mapping. Strip recognized prefixes for lookup and leave unknown ones intact.
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]