Oracle is a command-line tool and Claude Code skill that enables AI agent developers to route most queries through a cheaper model, escalating only complex or ambiguous cases to a premium model for a second opinion. This approach helps optimize token usage and reduce costs while maintaining high-quality outputs. It is designed for developers building cost-efficient AI agent workflows.
In the AI & ML space, Oracle takes a focused approach. It focuses on reducing AI inference costs by routing only difficult queries to premium models while using cheaper models for routine tasks. It is built as an open-source project for AI developers and agent builders. Oracle is free to use. It runs on the web and the command line.
Steven Gonsalvez builds and maintains Oracle, and the product first shipped in 2026. Development happens publicly on GitHub with 286 commits in the last 90 days. Key capabilities include model escalation, second opinion, and token optimization.
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Oracle: Let a Cheap Model Consult a Premium One on Demand verified by the PulseGate indexer
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