base_model = "openai/gpt-5.5"
# Chat `reasoning_effort = low|medium|high`; Responses uses `reasoning.effort`.
# https://docs.databricks.com/aws/en/machine-learning/model-serving/query-reason-models (accessed 2026-06-25)
reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]

[cost]
input = 5
output = 30
cache_read = 0.5

[[cost.tiers]]
tier = { type = "context", size = 272_000 }
input = 10
output = 45
cache_read = 1

[experimental.modes.fast]
cost = { input = 12.5, output = 75, cache_read = 1.25 }
provider = { body = { service_tier = "priority" } }