The content describes the creation of a search assistant agent using the Google ADK framework, specifically the Agent class and google_search tool. This agent, named “search_assistant,” leverages the gemini-2.0-flash model to answer user questions and enrich responses with web searches. For structured project management, agents are organized into subdirectories, facilitating multiple agents within a single project. The directory is marked by an __init__.py file, while the core functionality is defined in the agent.py file. Instructions guide the agent’s responses, allowing for enhanced detail. The tools section enables the agent to incorporate additional features, such as the ability to conduct Google searches to supplement its answers. This setup promotes efficient interoperability among various agents, enhancing their capability to provide accurate and comprehensive responses to user inquiries, thus driving user engagement and satisfaction.
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