chore: import upstream snapshot with attribution
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Agent Development Kit (ADK) Overview
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ADK is a Python framework for building AI agents powered by large language models.
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It provides a structured way to create agents that can reason, use tools, and
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collaborate with other agents.
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Key Features:
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- Multi-agent orchestration with sequential, parallel, and loop patterns
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- Built-in tool support including function tools, retrieval, and code execution
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- Session management for maintaining conversation state
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- Memory services for long-term recall across sessions
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- Support for multiple LLM backends including Gemini, Anthropic, and Ollama
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Architecture:
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The core abstractions are Agent, Runner, Tool, Session, and Memory.
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The Runner orchestrates the reason-act loop, processing user turns and
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streaming events back to the caller.
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Agent Types:
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- LlmAgent: Main agent with LLM integration
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- SequentialAgent: Runs sub-agents in sequence
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- ParallelAgent: Runs sub-agents in parallel
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- LoopAgent: Runs sub-agents in a loop
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