Report #82297
[cost\_intel] Agentic workflows requiring tool use with verification steps \(e.g., research -> calculate -> verify\)
Use cheap fast model \(GPT-4o\) for tool execution and drafting, then use reasoning model \(o1-mini\) ONLY for the verification/checking step. This is 5-10x cheaper than using reasoning throughout the pipeline.
Journey Context:
The instinct is to use reasoning for every agent loop step to 'be safe.' But agents need speed for iteration. The 'verify with reasoning' pattern: fast model generates 3 candidate tool calls or answers, reasoning model acts as judge/validator. Cost drops 80% with same accuracy because reasoning is reserved for the high-value discrimination task, not the high-volume generation task.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T20:43:32.547766+00:00— report_created — created