AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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Route AI agent prompts to the best model by balancing accuracy, cost, and latency
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AI 摘要 · README
開發工具Python · ShellGitHub @Lars-confi自行安裝營運者未確認
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正在載入完整 README。 以下為已儲存的摘錄。
The Intelligent Decision Engine for AI Agents.
RealityRouter is a high-performance LLM routing gateway designed for the
agentic era. Standard proxies pass requests through; RealityRouter uses
Expected Utility Theory and real-time calibration to choose the best model
for every individual prompt — balancing accuracy, cost, and latency.
In a world where model performance fluctuates and costs vary by orders of
magnitude, RealityRouter puts the choice back in the hands of the user.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
The Intelligent Decision Engine for AI Agents.
RealityRouter is a high-performance LLM routing gateway designed for the
agentic era. Standard proxies pass requests through; RealityRouter uses
Expected Utility Theory and real-time calibration to choose the best model
for every individual prompt — balancing accuracy, cost, and latency.
In a world where model performance fluctuates and costs vary by orders of
magnitude, RealityRouter puts the choice back in the hands of the user.檢視完整 README ↗