Tech »  Topic »  ToolSimulator: scalable tool testing for AI agents

ToolSimulator: scalable tool testing for AI agents

2 hours ago   aws.amazon.com - machine-learning

You can use ToolSimulator, an LLM-powered tool simulation framework within Strands Evals, to thoroughly and safely test AI agents that rely on external tools, at scale. Instead of risking live API calls that expose personally identifiable information (PII), trigger unintended actions, or settling for static mocks that break with multi-turn workflows, you can use ToolSimulator’s large language model (LLM)-powered simulations to validate your agents. Available today as part of the Strands Evals Software Development Kit (SDK), ToolSimulator helps you catch integration bugs early, test edge cases comprehensively, and ship production-ready agents with confidence.

In this post, you will learn how to:

  • Set up ToolSimulator and register tools for simulation
  • Configure stateful tool simulations for multi-turn agent workflows
  • Enforce response schemas with Pydantic models
  • Integrate ToolSimulator into a complete Strands Evals evaluation pipeline
  • Apply best practices for simulation-based agent evaluation

Prerequisites

Before you begin, make sure that you have ...


Copyright of this story solely belongs to aws.amazon.com - machine-learning . To see the full text click HERE