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Follow-ups to #6462's caching: 1. Key the catalog cache by the exact API key (via a short, non-reversible sha256 digest — never the key itself), not just key-present vs absent. Switching to a different key for the same provider now misses the previous account's entry and refetches, instead of showing the old account's models. 2. Never cache local providers (Ollama). /api/tags is fast and installed models change out-of-band, so caching could keep offering a model the user just deleted until the entry expired. _is_cacheable() gates both cache read and write; the picker now re-probes every call and reflects what's installed. 3. Shorten the dynamic catalog TTL from 6h to 5m — a stale list (new/removed models, account changes) is worse than a ~1s refetch, and the cache only needs to spare repeated fetches within a wizard session. Tests: distinct-key cache entries, digest never stores the raw key, Ollama not cached (reflects deletions / never written), and dynamic TTL expiry. 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]