|
| 1 | +# Google A2A Protocol : Integrating AI into existing Java Applications |
| 2 | + |
| 3 | +> Transform your existing Java applications into AI-powered solutions without the need for a separate server infrastructure. |
| 4 | +
|
| 5 | +## Table of Contents |
| 6 | +- [Introduction](#introduction) |
| 7 | +- [Prerequisites](#prerequisites) |
| 8 | +- [Agentic Actions](#agentic-actions) |
| 9 | + - [Weather Service](#weather-service) |
| 10 | + - [Google Search](#google-search) |
| 11 | + - [Notification System](#notification-system) |
| 12 | + - [File Operations](#file-operations) |
| 13 | +- [Implementation Guide](#implementation-guide) |
| 14 | +- [Examples](#examples) |
| 15 | +- [Best Practices](#best-practices) |
| 16 | + |
| 17 | +## Introduction |
| 18 | + |
| 19 | +This guide demonstrates how to leverage the Google A2A (Agent-to-Agent) protocol to infuse AI capabilities into your existing Java applications. The A2A protocol enables seamless integration of AI functionalities without requiring a separate server infrastructure, making it an ideal solution for enhancing your business applications with AI features. |
| 20 | + |
| 21 | +## Prerequisites |
| 22 | + |
| 23 | +Before you begin, ensure you have: |
| 24 | +- Java 8 or higher |
| 25 | +- Maven or Gradle for dependency management |
| 26 | +- Basic understanding of Spring Framework |
| 27 | +- A2A library dependencies in your project |
| 28 | + |
| 29 | +## Agentic Actions |
| 30 | + |
| 31 | +The power of this solution lies in its ability to create combine A2A protocol with "agentic actions" - self-contained units of business logic that can be invoked through natural language processing. Let's explore some key actions that demonstrate this capability. |
| 32 | + |
| 33 | +### Weather Service |
| 34 | + |
| 35 | +The `WeatherAction` class demonstrates how to integrate weather data services into your application: |
| 36 | + |
| 37 | +```java |
| 38 | +@Log |
| 39 | +@Agent(groupName = "Weather related actions") |
| 40 | +public class WeatherAction { |
| 41 | + @Action(description = "get weather for city") |
| 42 | + public double getTemperature(String cityName) { |
| 43 | + double temperature = 0; |
| 44 | + String urlStr = "https://geocoding-api.open-meteo.com/v1/search?name="+cityName+"&count=1&language=en&format=json"; |
| 45 | + String weatherURlStr = "https://api.open-meteo.com/v1/forecast?latitude="; |
| 46 | +``` |
| 47 | + |
| 48 | +This action integrates with the Open-Meteo geocoding API to fetch real-time weather information for any given city. The `@Agent` and `@Action` annotations make this method accessible through natural language queries via Google A2A protocol. |
| 49 | + |
| 50 | +### Google Search Integration |
| 51 | +```java |
| 52 | +@Agent(groupName = "GoogleSearch", groupDescription = "Google Search") |
| 53 | +public class GoogleSearchAction { |
| 54 | + |
| 55 | + @Action(description = "search the web for information") |
| 56 | + public String googleSearch(String searchString, boolean isNews) { |
| 57 | + //Just return random string if you do not have serper key |
| 58 | + //to get serper key look here https://serper.dev/ |
| 59 | + if(PredictionLoader.getInstance().getSerperKey() == null) { |
| 60 | + return "jamun , jalebi"; |
| 61 | + } |
| 62 | +``` |
| 63 | +This action demonstrates integration with web search capabilities. While this example uses a simplified approach, you can enhance it by integrating with the Serper API for production use. |
| 64 | + |
| 65 | +### Notification System |
| 66 | + |
| 67 | +The notification system demonstrates how to send automated communications based on natural language triggers. For example, sending congratulatory emails to players based on their achievements. |
| 68 | + |
| 69 | +### File Operations |
| 70 | + |
| 71 | +The `FileWriteAction` class handles file system operations, showcasing how traditional I/O operations can be triggered through natural language commands. |
| 72 | + |
| 73 | +## Making Your Application AI-Ready |
| 74 | + |
| 75 | +The A2A protocol can be applied to any business-centric application. For example, consider a banking application: |
| 76 | + |
| 77 | +``` |
| 78 | +public AccountDetails getAccountDetails(AccountInformation info) { |
| 79 | + |
| 80 | +} |
| 81 | +``` |
| 82 | + |
| 83 | +By simply adding the `@Agent` and `@Action` annotations, you can transform regular business logic into AI-accessible endpoints. The A2A protocol handles the natural language processing and routing automatically. |
| 84 | + |
| 85 | +## Implementation Examples |
| 86 | + |
| 87 | +Let's explore some practical examples of how natural language prompts trigger different actions through the A2A protocol: |
| 88 | +
|
| 89 | +### 1. Weather Service Integration |
| 90 | +
|
| 91 | +```java |
| 92 | +// Initialize the A2A client |
| 93 | +LocalA2ATaskClient client = context.getBean(LocalA2ATaskClient.class); |
| 94 | +
|
| 95 | +// Natural language query for weather information |
| 96 | +String weatherQuery = "Hey, I am in Toronto. Do you think I need a jacket today?"; |
| 97 | +Task weatherTask = client.sendTask(weatherQuery); |
| 98 | +
|
| 99 | +// The A2A protocol automatically: |
| 100 | +// 1. Identifies this as a weather-related query |
| 101 | +// 2. Extracts the city name (Toronto) |
| 102 | +// 3. Calls WeatherAction.getTemperature() |
| 103 | +// 4. Formats a natural language response |
| 104 | +log.info(client.getTask(weatherTask.getId(), 2).toString()); |
| 105 | +``` |
| 106 | +
|
| 107 | +### 2. Automated Notifications |
| 108 | +
|
| 109 | +```java |
| 110 | +// Natural language trigger for sending congratulations |
| 111 | +String notificationPrompt = |
| 112 | + "Sachin Tendulkar is a cricket player who joined on 24/03/2022. " + |
| 113 | + "He has played 300 matches with a highest score of 400. " + |
| 114 | + "Please send him a congratulatory email."; |
| 115 | +
|
| 116 | +Task notificationTask = client.sendTask(notificationPrompt); |
| 117 | +
|
| 118 | +// The system automatically: |
| 119 | +// 1. Extracts player information |
| 120 | +// 2. Generates appropriate congratulatory message |
| 121 | +// 3. Sends the email through NotifyPlayerAction |
| 122 | +log.info(client.getTask(notificationTask.getId(), 2).toString()); |
| 123 | +``` |
| 124 | +
|
| 125 | +### 3. Restaurant Booking Integration |
| 126 | +
|
| 127 | +```java |
| 128 | +// Natural language restaurant booking request |
| 129 | +String bookingPrompt = "Book a table at Maharaja restaurant in " + |
| 130 | + "Toronto for Sachin Tendulkar and 4 people on May 12th"; |
| 131 | +Task bookingTask = client.sendTask(bookingPrompt); |
| 132 | +
|
| 133 | +// The system processes: |
| 134 | +// 1. Restaurant details |
| 135 | +// 2. Number of guests |
| 136 | +// 3. Date and time |
| 137 | +// 4. Customer information |
| 138 | +``` |
| 139 | +
|
| 140 | +## Best Practices |
| 141 | +
|
| 142 | +1. **Action Design** |
| 143 | + - Keep actions focused and single-purpose |
| 144 | + - Use clear, descriptive names for actions |
| 145 | + - Include comprehensive documentation in `@Action` descriptions |
| 146 | +
|
| 147 | +2. **Error Handling** |
| 148 | + - Implement proper exception handling |
| 149 | + - Provide meaningful error messages |
| 150 | + - Include fallback mechanisms |
| 151 | +
|
| 152 | +3. **Testing** |
| 153 | + - Write unit tests for individual actions |
| 154 | + - Include integration tests for A2A flows |
| 155 | + - Test with various natural language inputs |
| 156 | +
|
| 157 | +## Conclusion |
| 158 | +
|
| 159 | +The Google A2A protocol provides a powerful way to add AI capabilities to existing Java applications. By following this guide, you can: |
| 160 | +
|
| 161 | +- Transform regular methods into AI-accessible endpoints |
| 162 | +- Process natural language commands effectively |
| 163 | +- Integrate multiple services seamlessly |
| 164 | +- Maintain clean and maintainable code |
| 165 | +
|
| 166 | +The examples demonstrated here are just the beginning. The protocol's flexibility allows for integration with any business logic, making it a valuable tool for modernizing existing applications with AI capabilities. |
| 167 | + |
| 168 | +## Next Steps |
| 169 | + |
| 170 | +- Explore more complex action combinations |
| 171 | +- Implement custom action handlers |
| 172 | +- Integrate with additional APIs and services |
| 173 | +- Contribute to the A2A community |
| 174 | + |
| 175 | +For more information and updates, visit the [official documentation](https://github.com/google/a2a) and join the community discussions. |
| 176 | + |
| 177 | + |
| 178 | + |
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