Large language models (LLMs) have made the construction of intelligent systems easier in recent years.
The ReAct agent is developed to execute complex tasks using reasoning and action.
Testing ReAct agents can be done using frameworks such as Vitest and Pytest, along with LangChain, LangSmith, and agent testing.
This article focuses on setting up the testing environment for ReAct agents that use external APIs, with a specific example of testing a stock-related ReAct agent.