81 lines
1.9 KiB
Markdown
81 lines
1.9 KiB
Markdown
# Quickstart
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## Introduction
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Before you begin, ensure you are:
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- Familiar with Java environment setup and development
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- Familiar with Java build tools like Maven
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> Note: Your environment must be Java 8 or higher.
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## Hello World
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**Step 1: Create a Java project and add the Maven dependency:**
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```xml
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<dependency>
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<groupId>com.agentsflex</groupId>
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<artifactId>agents-flex-bom</artifactId>
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<version>1.0.0-rc.10</version>
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</dependency>
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```
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Or use Gradle:
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```java
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implementation 'com.agentsflex:agents-flex-bom:1.0.0-rc.10'
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```
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**Step 2: Create a Java class with a `main` method:**
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```java
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public class Main {
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public static void main(String[] args) {
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OpenAILlmConfig config = new OpenAILlmConfig();
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config.setApiKey("sk-rts5NF6n*******");
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Llm llm = new OpenAILlm(config);
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String response = llm.chat("What is your name?");
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System.out.println(response);
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}
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}
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```
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Simplify LLM object creation using `OpenAILlm.of`:
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```java
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public class Main {
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public static void main(String[] args) {
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Llm llm = new OpenAILlm.of("sk-rts5NF6n*******");
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String response = llm.chat("what is your name?");
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System.out.println(response);
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}
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}
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```
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## Streaming Conversation
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Streaming Conversation requires calling the `chatStream` method, and passing the prompt with `StreamResponseListener` object, as shown in the code below:
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```java
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public class Main {
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public static void main(String[] args) {
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Llm llm = new OpenAILlm.of("sk-rts5NF6n*******");
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llm.chatStream("what is your name?", new StreamResponseListener<AiMessageResponse, AiMessage>() {
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@Override
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public void onMessage(ChatContext context, AiMessageResponse response) {
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System.out.println(">>>> " + response.getMessage().getContent());
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}
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});
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System.out.println(response);
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}
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}
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```
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