Real Ollama Cloud 429s are driven by ollama.com usage windows, not by
response headers that OpenAI/Anthropic/CN rate-limit parsing understands.
Handle them separately: apply a never-shortening temporary cooldown first,
then schedule an async probe that learns the true usage-window reset point
with a controlled, coalesced per-api_key refresh.
- ratelimit_service: route real Ollama Cloud usage accounts to a dedicated
429 path before the CN-provider branch.
- ollama_cloud_usage: add a background probe coordinator (started in Start,
waited by Stop) that fans out model-429 probes to one controlled refresh
per api_key group, reusing the recent group snapshot for coalesced members.
- repository/account_repo: add SetRateLimitedIfUnchanged, a write-back CAS
counterpart to ClearRateLimitIfObserved, so an async reset never overwrites
a newer 429, an admin clear, a re-armed generation, or a key/state change
observed by another writer between read and write.
- wire: inject OllamaCloudUsageService into RateLimitService.
Tests: unit tests for service and repository pass; targeted race tests pass;
build and vet clean; git diff --check clean. The CAS integration test compiles
but is not run (no Docker available).
alfadb