Google ADK

Overview

The integration of Google ADK and Dappier SDK empowers developers to rapidly build multi-agent AI applications that combine Google’s modular agent orchestration with Dappier’s real-time, rights-cleared data sources. By pairing Gemini-powered agents with Dappier’s live insights, developers can create smart assistants, dynamic analytics tools, and automated content recommendation systems that operate with accuracy, adaptability, and speed.

Watch the Video

If you prefer a visual walkthrough, check out the accompanying video below:

Starter App: Google ADK + Dappier

To explore the capabilities of integrating Google ADK with Dappier, check out this ready-to-run starter project: 👉 Google ADK + Dappier Starter App on Replit This application demonstrates how to:

Utilize Google ADK’s Agent class to build AI agents powered by Gemini models.
Integrate Dappier’s real-time search and AI recommendation tools to fetch up-to-date information across various domains, including finance, sports, lifestyle, and pet care.
Configure environment variables for seamless authentication and deployment.

Feel free to explore and customize this template to suit your specific use cases.

Google’s Agent Development Kit (ADK) is an open-source Python framework designed to help developers build, evaluate, and deploy modular, multi-agent AI systems. It is optimized for Google’s Gemini models, but remains model-agnostic and flexible across a wide range of LLMs and environments.

Features of Google ADK:

Agent Composition – Build agents with modular tools and behaviors, including Sequential, Parallel, Loop, and LLM-directed control flows.
Tool Integration – Equip agents with powerful tools for tasks like web search, code execution, or third-party APIs.
Context Handling – Maintain session state, memory, and context for dynamic agent interactions.
Evaluation Framework – Assess agent accuracy and trace step-by-step reasoning during testing.
Flexible Deployment – Run locally, on Google Cloud (e.g., Cloud Run, Vertex AI), or in serverless environments like Replit.

Learn more at google.github.io/adk-docs

Dappier

Dappier SDK is a real-time AI data platform that connects AI agents to verified, rights-cleared content and live information from the web. It empowers developers to build hallucination-free, trustworthy, and context-aware AI applications.

Key Capabilities of Dappier:

Real-Time Web Search – Retrieve up-to-the-minute data across categories like news, finance, weather, travel, events, and more.
AI Recommendations – Deliver personalized content from niche domains such as sports, lifestyle, pet care, and sustainability.
Data Integrity – Powered by rights-cleared sources to ensure factual correctness and legal safety in generative AI outputs.
Marketplace Models – Access dozens of plug-and-play data models for use in AI workflows.

Explore live data models at marketplace.dappier.com

Getting Started: Build the Google ADK + Dappier Starter App

Follow these simple steps to run the starter app using Google ADK + Dappier SDK — no installation required.

🔹 Step 1: Fork the Starter App on Replit

Open the project in your browser:
👉 Google ADK + Dappier Starter App
Click “Fork” at the top-right to create your own copy.
Replit will automatically set up the project environment and open the code editor.

Once forked, you’re ready to configure your API keys. Here’s Step 2, guiding users to set up their API keys securely in Replit:

🔹 Step 2: Add API Keys via Secrets (Replit)

To authenticate with Google and Dappier services, you’ll need to set up three environment variables in Replit:

In your Replit workspace, click the 🔐 “Secrets” (lock icon) in the left sidebar.
Add the following environment variables:

Name	Description
`GOOGLE_API_KEY`	Your Google API Key for Gemini models. Get one here
`GOOGLE_GENAI_USE_VERTEXAI`	Set this to `"false"` unless you’re using Vertex AI.
`DAPPIER_API_KEY`	Your Dappier API Key. Generate it here

Once added, Replit will securely inject them into your code environment.

⚠️ Never hardcode API keys in your code. Use environment variables for security.

Here’s Step 3, helping users understand how the agent and Dappier-powered tools are defined and connected:

🔹 Step 3: Understand the Agent and Tool Functions

At the core of this app is a Google ADK Agent, powered by Gemini and enhanced using Dappier tools.

🧠 Root Agent Setup

from google.adk.agents import Agent

root_agent = Agent(
    name="dappier_tools_agent",
    model="gemini-2.0-flash",
    description="Agent to answer questions using Dappier tools.",
    instruction="You are a helpful assistant that uses Dappier tools to fetch live data.",
    tools=[
        real_time_web_search,
        stock_market_data_search,
        get_sports_news,
        get_lifestyle_news,
        get_iheartdogs_content,
        get_iheartcats_content,
        get_greenmonster_guides
    ]
)

This Agent is equipped with multiple tool functions that fetch live, trusted data using Dappier.

🔧 Sample Tool Function

def real_time_web_search(query: str) -> str:
    return client.search_real_time_data_string(
        query=query,
        ai_model_id="am_01j06ytn18ejftedz6dyhz2b15"
    )

Each tool is mapped to a specific Dappier AI model, like real-time search, stock updates, lifestyle news, and more. In the next step, we’ll run the agent and interact with it.

🔹 Step 4: Run and Interact with the Agent

Since the Replit “Run” button won’t launch the ADK server, you’ll need to start it manually using the terminal.

▶ How to Run

Click the “Run” button at the top of your Replit workspace.
Replit will display a live URL such as: https://<your-replit-username>.<repl-name>.repl.co Click on this URL to open the interactive agent UI in a new browser tab.

💬 Sample Prompts to Try

Once the interface is running, try asking your agent:

"What's the latest update on Tesla stock?"
"Give me trending dog health tips"
"Show me eco-friendly lifestyle news"
"What's happening in sports today?"

The agent will intelligently route your query to the appropriate Dappier-powered tool, fetch real-time data, and respond using Gemini-generated answers. Your custom AI assistant is now live and running on the web! ✅

Why Integrate Google ADK and Dappier?

Combining Google ADK with Dappier SDK brings together the strengths of modular AI agent orchestration and real-time, rights-cleared data access. This integration unlocks the ability to build dynamic, context-aware agents that can reason, route tasks, and respond with up-to-the-minute information.

🔍 Key Benefits

Real-Time Decision Making
Agents can base responses on the latest stock prices, breaking news, or trending lifestyle content — not static memory.
Reliable AI Outputs
Reduce hallucinations by fetching data from trusted sources using Dappier’s verified pipelines.
Multi-Agent Workflows
Use Google ADK’s support for Sequential, Parallel, or LLM-directed flows to design complex, modular agents.
Diverse Use Cases
Easily support finance, travel, sports, sustainability, and more — with plug-and-play data models from Dappier.

💡 Example Scenarios

Stock Market Assistant
Track tickers like TSLA or AAPL in real time and generate Gemini-based insights.
Pet Care Advisor
Recommend dog or cat health content from expert-curated sources like iHeartDogs or iHeartCats.
Lifestyle Curator
Pull trending lifestyle updates or conscious living tips from GreenMonster and other top publications.
Smart News Aggregator
Build a conversational news assistant that fetches articles based on keywords and personal interest.

Together, Google ADK and Dappier empower you to build AI agents that are not only smart — but informed, safe, and ready for production.

Conclusion

The integration of Google ADK with Dappier SDK gives developers a powerful foundation to build real-time, intelligent AI agents that are both modular and grounded in trusted data. Whether you’re building a stock advisor, news assistant, travel planner, or lifestyle recommender, this stack ensures your agents are:

Powered by Gemini models via Google ADK
Informed by live, verified data via Dappier
Deployable anywhere — including Replit, Cloud Run, and beyond

Try the starter template today:
👉 Google ADK + Dappier Starter App

Ready to build the next generation of real-world AI tools?
This is your launchpad.

Integrations

SDKs

Platform Integrations

Google ADK

Overview

Watch the Video

Starter App: Google ADK + Dappier

Google ADK

Features of Google ADK:

Dappier

Key Capabilities of Dappier:

Getting Started: Build the Google ADK + Dappier Starter App

🔹 Step 1: Fork the Starter App on Replit

🔹 Step 2: Add API Keys via Secrets (Replit)

🔹 Step 3: Understand the Agent and Tool Functions

🧠 Root Agent Setup

🔧 Sample Tool Function

🔹 Step 4: Run and Interact with the Agent

▶ How to Run

💬 Sample Prompts to Try

Why Integrate Google ADK and Dappier?

🔍 Key Benefits

💡 Example Scenarios

Conclusion

Integrations

SDKs

Platform Integrations

​Overview

​Watch the Video

​Starter App: Google ADK + Dappier

​Google ADK

​Features of Google ADK:

​Dappier

​Key Capabilities of Dappier:

​Getting Started: Build the Google ADK + Dappier Starter App

​🔹 Step 1: Fork the Starter App on Replit

​🔹 Step 2: Add API Keys via Secrets (Replit)

​🔹 Step 3: Understand the Agent and Tool Functions

​🧠 Root Agent Setup

​🔧 Sample Tool Function

​🔹 Step 4: Run and Interact with the Agent

​▶ How to Run

​💬 Sample Prompts to Try

​Why Integrate Google ADK and Dappier?

​🔍 Key Benefits

​💡 Example Scenarios

​Conclusion

Overview

Watch the Video

Starter App: Google ADK + Dappier

Google ADK

Features of Google ADK:

Dappier

Key Capabilities of Dappier:

Getting Started: Build the Google ADK + Dappier Starter App

🔹 Step 1: Fork the Starter App on Replit

🔹 Step 2: Add API Keys via Secrets (Replit)

🔹 Step 3: Understand the Agent and Tool Functions

🧠 Root Agent Setup

🔧 Sample Tool Function

🔹 Step 4: Run and Interact with the Agent

▶ How to Run

💬 Sample Prompts to Try

Why Integrate Google ADK and Dappier?

🔍 Key Benefits

💡 Example Scenarios

Conclusion