overview of key features within the Agent Development Kit (ADK), focusing on building intelligent agents. They explain how to implement structured outputs using Pydantic models for consistent data formatting and session management to maintain context across user interactions. The texts also cover persistent storage through database integration, enabling agents to retain information long-term, and detail the architecture for multi-agent systems where specialized agents collaborate. Furthermore, various workflow agents are described, including sequential agents for ordered task execution, parallel agents for concurrent processing, and loop agents for iterative refinement. Finally, a Gemini model overview provides guidance on selecting appropriate models based on capabilities, performance, and cost within the ADK environment.

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