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ProtocolBench: Which LLM MultiAgent Protocol to Choose?

ICML 2026 · Multi-agent systems and games › LLM agents · approach: LLM multi-agent decision making · 0 citations (OpenAlex)

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Introduces ProtocolBench, a four-axis benchmark comparing LLM multi-agent communication protocols (A2A, ACP, ANP, Agora) across four scenarios, and ProtocolRouter, a constraint-aware router that selects per-scenario or per-module protocols.

Problem

Choice of LLM multi-agent communication protocol (A2A, ACP, ANP, Agora) is intuition-driven, with no standardized comparison of task success, latency, overhead, robustness and security.

Approach

A protocol-agnostic benchmark with thin native adapters and shared scenario harnesses isolates protocol effects, plus a constraint-first router that filters protocols by hard requirements and breaks ties with performance priors.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: GAIA ChatDoctor-HealthCareMagic-100k MS MARCO 2WikiMultihopQA

Benchmarks: GAIA Fail-Storm Recovery Streaming Queue Safety Tech ProtocolRouterBench

Metrics: success average quality average (1-5) mean end-to-end latency std dev recovery time answer discovery rate probe block rate scenario accuracy module accuracy macro-F1

Baselines: A2A ACP ANP Agora single-protocol deployments

Builds on: A2A ACP ANP Agora MCP

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