Agent Development Kit (ADK) Overview

ADK is a Python framework for building AI agents powered by large language models.
It provides a structured way to create agents that can reason, use tools, and
collaborate with other agents.

Key Features:
- Multi-agent orchestration with sequential, parallel, and loop patterns
- Built-in tool support including function tools, retrieval, and code execution
- Session management for maintaining conversation state
- Memory services for long-term recall across sessions
- Support for multiple LLM backends including Gemini, Anthropic, and Ollama

Architecture:
The core abstractions are Agent, Runner, Tool, Session, and Memory.
The Runner orchestrates the reason-act loop, processing user turns and
streaming events back to the caller.

Agent Types:
- LlmAgent: Main agent with LLM integration
- SequentialAgent: Runs sub-agents in sequence
- ParallelAgent: Runs sub-agents in parallel
- LoopAgent: Runs sub-agents in a loop