A research agent, three ways

The text discusses the development and deployment of research agents using Pydantic AI and Exa, emphasizing the modular and composable nature of these tools. It introduces a basic research agent setup with Pydantic AI's WebSearch capability and highlights the limitations of native web search for deep research tasks. Exa's advanced semantic search capabilities provide a more robust solution, offering real-time page content retrieval and structured outputs for complex queries. The Exa Agent API can handle multi-step research tasks, maintaining context and allowing for structured output validation. The text further describes how these tools can be customized and extended with additional capabilities like CodeMode, TodoCapability, and ConsoleCapability, to fit specific research workflows. This modular approach allows for the creation of scalable, reusable agents that can be easily adapted to changing needs, reducing the development time and effort required to build sophisticated research tools.

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