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AWS Machine Learning Blog·API·5d ago·by Darren Wang·~1 min read

ToolSimulator: scalable tool testing for AI agents

Artificial Intelligence ToolSimulator: scalable tool testing for AI agents 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. Prerequisites Before you begin, make sure that you have the following: - Python 3.10 or later installed in your environment - Strands Evals SDK installed: pip install strands-evals - Basic familiarity with Python, including decorators and type hints…

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