Graph-Based Self-Healing Tool Routing for Cost-Efficient LLM Agents
Graph-Based Self-Healing Tool Routing for Cost-Efficient LLM Agents explores Develop a Self-Healing Router for cost-efficient and fault-tolerant LLM agent tool routing using graph-based methods.. Commercial viability score: 7/10 in Agents.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisDeep Reinforcement Learning for Fault-Adaptive Routing in Eisenstein-Jacobi Interconnection TopologiesViability: 6.0
- Builds On ThisAdaptive Vision-Language Model Routing for Computer Use AgentsViability: 5.0
- Prior WorkCascade-Aware Multi-Agent Routing: Spatio-Temporal Sidecars and Geometry-SwitchingViability: 7.0
- Prior WorkCASTER: Breaking the Cost-Performance Barrier in Multi-Agent Orchestration via Context-Aware Strategy for Task Efficient RoutingViability: 7.0
- Higher ViabilityWhen Routing Collapses: On the Degenerate Convergence of LLM Routers
Related Resources
- AgentSpeak(glossary)
- Mixture-of-Agents(glossary)
- Agents(glossary)
- What is the future of AI agents according to Nothing's CEO?(question)
- How do LLM efficiency advancements impact the development of AI agents?(question)
- How does AgentXRay contribute to the explainability of AI agents in complex decision-making processes?(question)
- Agents – Use Cases(use_case)