Parallelizing Tool Execution and LLM Generation for Low-Latency Agent Serving

📰 ArXiv cs.AI

Learn how to parallelize tool execution and LLM generation for low-latency agent serving using PASTE, a tool-aware agent-serving system, to improve task execution efficiency

advanced Published 16 Jun 2026
Action Steps
  1. Build a PASTE system to predict future tool invocations
  2. Run speculative tool executions in parallel with LLM generation
  3. Configure the system to isolate speculative results
  4. Test the system for low-latency agent serving
  5. Apply PASTE to existing agent-serving systems
Who Needs to Know This

DevOps and software engineering teams can benefit from PASTE to reduce latency in agent-serving systems, while AI engineers can leverage it to optimize LLM-powered agents

Key Insight

💡 Parallelizing tool execution and LLM generation can significantly reduce latency in agent-serving systems

Share This
💡 Reduce latency in agent-serving systems with PASTE, a tool-aware system that parallelizes tool execution and LLM generation
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