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