Planner-as-Router: Joint Plan-Time Model Routing for Cost-Efficient Multi-Agent Workflows
cs.AI, cs.CL, cs.MA
Submitted: 2026-09-26
Updated: 2026-09-26
Code: https://github.com/vsingh45/par-entbench
Terminology
Sources
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
- RouteLLM: Learning to Route LLMs with Preference Data
- Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
- RouterBench: A Benchmark for Multi-LLM Routing System
- AutoMix: Automatically Mixing Language Models
- MasRouter: Learning to Route LLMs for Multi-Agent Systems
- Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
- Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
- $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
- GAIA: a benchmark for General AI Assistants
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
- ReAct: Synergizing Reasoning and Acting in Language Models
- Reflexion: Language Agents with Verbal Reinforcement Learning
- Toolformer: Language Models Can Teach Themselves to Use Tools
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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