finding litellm performance has dropped, crashed in multiple cases, and
then it had scaled to the maximum level using the majority of memory in
cluster.
- reduce the rate at which litellm autoscales
- increase the requests/limits to match usage
Deploys LiteLLM proxy with CNPG PostgreSQL (3-instance HA), PgBouncer
pooler, and Redis cache. Introduces a dedicated aitooling AppProject and
ApplicationSet to keep AI tooling services separate from platform infra.
Reviewed-on: #94
unkinben