fix: updated model capacity minimum to 200 #602
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Purpose
This pull request updates default model capacities and environment variables to align with new requirements for resource allocation. The most significant changes include increasing the capacity for
gpt-4o-miniand adjusting related documentation and scripts accordingly.Updates to model capacities:
.github/workflows/CAdeploy.yml: ReducedGPT_MIN_CAPACITYfrom 250 to 200 and increasedTEXT_EMBEDDING_MIN_CAPACITYfrom 40 to 80 in the workflow environment variables.infra/scripts/quota_check_params.sh: UpdatedDEFAULT_MODEL_CAPACITYto setgpt-4o-minicapacity to 200 (previously 30) while keepingtext-embedding-ada-002at 80.Documentation updates:
docs/QuotaCheck.md: Updated examples and default values to reflect the newgpt-4o-minicapacity of 200 in various usage scenarios. [1] [2]Does this introduce a breaking change?
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