Master Google Agent Development Kit(ADK): Agents, Tools, Guardrails & Multi-Agent System

*🎯 Playlist Video Title Suggestions:*

1. *"Google ADK: Build AI Agents to Multi-Agent Systems | LiteLLM + Memory + Guardrails"*
2. *"From Basic Agent to Multi-Agent with Google ADK | Python + Gemini + LiteLLM Guide"*
3. *"Master Google Agent Development Kit: Agents, Tools, Guardrails & Multi-Agent System"*

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📘 *Playlist Video Description:*

In this step-by-step tutorial, we explore how to build *AI-powered agents using Google ADK (Agent Development Kit)* — starting from a *basic single-agent setup* to creating a *multi-agent system* with memory, tools, and guardrails.

Learn how to:
✅ Create single-agent with *LiteLLM* models like HuggingFace and Gemini
✅ Integrate external tools like *DuckDuckGo* for web search and *custom weather tools*
✅ Implement *session-based memory* and *agent memory*
✅ Add *guardrails* to control model and tool behavior
✅ Build a *multi-agent team* using sub-agents (root-agent and child-agents)
✅ Run interactive async inference loop using `Runner` and `run_async()`

Whether you're an **AI enthusiast, developer, or LLM researcher**, this guide equips you with hands-on skills to run agent-based apps that are modular, safe, and scalable.

🔗 *Topics Covered:*

Agent initialization with `Agent()`
Tool integration using `ToolContext`
Guardrail implementation (`before_model_callback`, `before_tool_callback`)
Session memory with `InMemorySessionService()`
Running agents asynchronously with `Runner`

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Timings:



🔑 *Keywords:*

Google ADK, Agent Development Kit, LLM agents, Multi-agent systems, AI agent architecture, LiteLLM, google.adk tutorial, Google ADK agent, Python AI agents, Gemini model integration, Ollama alternatives, LangChain community tools, DuckDuckGo agent search, Agent memory, Session memory, ToolContext, before\_model\_callback, before\_tool\_callback, ADK Runner, Google agent system, AI tool orchestration, Build AI agents Python, run\_async ADK, ADK agent development, modular AI agent, Gemini 2.0 with tools, HuggingFace agent, Multi-agent framework, AI orchestration, agent team structure, LLM in production, ADK guardrails, Google ADK walkthrough

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🏷️ *Tags:*

Google ADK, Agent Development Kit, AI Agents, Multi-Agent System, LiteLLM, Gemini 2.0 Flash, Python AI development, Google AI Tools, DuckDuckGo agent search, LangChain Tools, before\_model\_callback, before\_tool\_callback, ADK Sessions, InMemorySessionService, ToolContext, Custom tools for agents, Async agent runner, run\_async ADK, Guardrails AI, Google ADK tutorial, AI agent memory, Sub-agents Google ADK, LLM orchestration tools, Agent runner, AI workflow automation, Build agents with tools, Google Colab AI projects, HuggingFace LLM with ADK, Google agent tool integration, Multi-agent architecture

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Timings:

0:00 - 0:07 Intro

0:07 - 2:34 Google ADK Overview

2:34 - 30:15 ✅ Create Single-Agent w/ LiteLLM

5:42 - 9:00 Install ADK & Base Agent

30:15 - 36:19 LiteLLM for Grok/HuggingFace

42:02 - 1:07:32 ✅ Integrate Tools (DuckDuckGo, Weather)

42:48 - 49:52 Google Search Tool

49:52 - 1:07:32 Custom DuckDuckGo & Weather Tools

56:33 - 1:13:13 ✅ Session-Based Memory

1:09:02 - 1:13:13 Memory in Tools

1:13:13 - 1:15:18 Agent Memory

1:15:18 - 1:39:48 ✅ Guardrails

1:16:04 - 1:29:42 Before Model Call Guardrail

1:29:42 - 1:39:48 Before Tool Call Guardrail

1:39:48 - 1:46:12 ✅ Multi-Agent Team

1:40:12 - 1:43:03 Child Agents (Web, Weather)

1:43:03 - 1:46:12 Root Agent Setup

20:53 - 1:46:49 ✅ Async Inference Loop

26:58 - 1:46:49 Conversational & Multi-Agent Loop

1:51:02 - 1:51:56 Recap

1:51:56 - 1:52:17 Outro

🔥 *Hashtags:*

\#GoogleADK #AIAgents #MultiAgentSystem #LiteLLM #GeminiModel #AgentDevelopmentKit #LangChainTools #PythonAI #CustomAIAgents #AIOrchestration #LLMTools #AgentMemory #SessionMemory #Guardrails #DuckDuckGoSearch #HuggingFaceLLM #ToolContext #RunAsync #ModularAI #GoogleColabAI #OpenSourceAI #MultiAgentArchitecture #BuildAgents #LLMAgents #AgentDevelopment #AIAutomation #AsyncAI #RootAgent #SubAgents #AgentToolkit