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ORACLE: Agentic AI Orchestrator Routing Via Adaptive Verifier Calibration Feedback

Raj, Ritik et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learningmultiagent-systems
Modern enterprise agent deployments consist of a heterogeneous pool of large language models (LLMs) having diverse capabilities and cost. Existing model routing strategies optimize the quality-cost trade-off, while providing request-level static decisions. More recent solutions address agentic routi
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