Hermes model selector: dropdown with effort controls for cost optimization
Hermes exposes a dropdown model selector that lists Anthropic models — Opus 4.8, Opus 4.7, Sonnet 4.6, Haiku 4.5 — alongside thinking configuration toggles with effort levels: Minimal, Low, Medium, High, and Max. This lets you dial in both the model and the reasoning depth per task. Choosing a lighter model at minimal effort for simple tasks is a straightforward way to reduce token costs without changing anything else about how your agent works.
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MembersLLM-as-judge: automated quality scoring for agent outputs
Instead of relying on yourself as the sole judge of every agent output, you can use a separate LLM as a judge that fires off and scores outputs along the dimensions you care about. You can then see the trend line of how an agent is scoring
The $999 AI Assessment Playbook: Sell, Run, and Upsell a Productized AI Audit
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