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VAmoS Part Deux

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RESEARCH · 1 SOURCE · arXiv cs.AI

VAmoS Energy benchmark: tougher, more realistic voice-agent simulation for billing calls

The VAmoS Part Deux paper (arXiv:2609.38512v1) introduces VAmoS Energy, a benchmark of 100 simulated utility-billing calls where each caller makes 2–4 requests and agents use 16 tools (including a Stripe billing twin and Apache Fineract). An LLM-based verifier (99.1% agreement with a code verifier) checks agent actions and spoken figures; across 14 voice stacks, completion rates ranged 17.3%–44.7% (Grok Voice highest), and background television cut pooled completion from 38.7% to 8.6%.

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