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research: AdaptOrch topology-routing for DAG orchestration (12-23% improvement) (arXiv:2602.16873) #2219
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P3Research — medium-high complexityResearch — medium-high complexityenhancementNew feature or requestNew feature or requestresearchResearch-driven improvementResearch-driven improvement
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arXiv:2602.16873 — AdaptOrch: Task-Adaptive Multi-Agent Orchestration in the Era of LLM Performance Convergence (Feb 2026)
Summary
Demonstrates orchestration topology (parallel, sequential, hierarchical, hybrid) dominates performance as LLMs converge. Proposes a topology-routing algorithm mapping task dependency DAGs to optimal coordination patterns in O(|V|+|E|) time, achieving 12–23% improvement over static baselines.
Applicability to Zeph
Directly applicable to zeph-core orchestration (TaskGraph/DagScheduler/LlmPlanner):
- Zeph already has a DAG-based task graph; AdaptOrch's algorithm selects dispatch topology from the dependency structure
- Maps to existing
topology_selection = trueconfig flag in[orchestration] - Adaptive synthesis consistency scoring maps to multi-model provider routing (fast vs. quality per task type)
Implementation Sketch
- Add topology classifier in
LlmPlannerorDagSchedulerthat inspects task dependency structure - Select from: pure-parallel (no deps), sequential (linear chain), hierarchical (hub-and-spoke), hybrid (mixed)
- Weight selection by task type + provider capability
Complexity
Medium — topology selection logic is a new routing step; dependency-DAG analysis is partially present already.
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P3Research — medium-high complexityResearch — medium-high complexityenhancementNew feature or requestNew feature or requestresearchResearch-driven improvementResearch-driven improvement