NaviAgent: Graph-Driven Bilevel Planning for Scalable Tool Orchestration
📰 ArXiv cs.AI
Learn how NaviAgent enables scalable tool orchestration for Large Language Models using graph-driven bilevel planning, improving task structure and reducing error accumulation
Action Steps
- Build a graph representation of tool dependencies using NaviAgent
- Run bilevel planning algorithms to optimize tool orchestration
- Configure NaviAgent to integrate with existing LLM architectures
- Test the scalability of NaviAgent with hundreds or thousands of tools
- Apply NaviAgent to real-world tasks to evaluate its performance
Who Needs to Know This
AI engineers and researchers working on LLMs and tool orchestration can benefit from this knowledge to improve the scalability and efficiency of their systems
Key Insight
💡 NaviAgent's graph-driven approach enables scalable and efficient tool orchestration for LLMs, reducing error accumulation and improving task structure
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🤖 NaviAgent: Scalable tool orchestration for LLMs using graph-driven bilevel planning! 🚀
Key Takeaways
Learn how NaviAgent enables scalable tool orchestration for Large Language Models using graph-driven bilevel planning, improving task structure and reducing error accumulation
Full Article
Title: NaviAgent: Graph-Driven Bilevel Planning for Scalable Tool Orchestration
Abstract:
arXiv:2506.19500v3 Announce Type: replace Abstract: Large Language Models (LLMs) increasingly act as function-call agents that invoke external tools to tackle tasks beyond their static knowledge. However, they typically invoke tools one at a time without a global view of task structure. As tools often depend on one another, this leads to error accumulation and poor scalability, particularly when scaling to hundreds or thousands of tools. To address these limitations, we propose NaviAgent, an exp
Abstract:
arXiv:2506.19500v3 Announce Type: replace Abstract: Large Language Models (LLMs) increasingly act as function-call agents that invoke external tools to tackle tasks beyond their static knowledge. However, they typically invoke tools one at a time without a global view of task structure. As tools often depend on one another, this leads to error accumulation and poor scalability, particularly when scaling to hundreds or thousands of tools. To address these limitations, we propose NaviAgent, an exp
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