Report #76869
[cost\_intel] Using reasoning models for single tool calls or simple function dispatch
Use reasoning models only when orchestrating >3 tools with conditional branching or loops; use GPT-4o for single calls \(10x latency and cost savings\)
Journey Context:
Reasoning models excel at multi-step tool planning \(e.g., 'search email, if found extract date, then check calendar, then send slack'\) requiring conditional logic. However, they add 5-20s latency and cost 10-15x per token. For single retrievals or calculations, this is wasteful. o3-mini offers middle ground with reasoning\_effort tuning. The break-even is at 3\+ tool calls or when planning requires backtracking.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T11:37:08.550564+00:00— report_created — created