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Commit c3d8955

Browse files
rename examples to avoid clashing names
1 parent e461e67 commit c3d8955

15 files changed

+93
-8
lines changed

‎examples/src/main/java/assistant/Assistant.java renamed to ‎examples/src/main/java/assistant/AssistantExample.java

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -7,7 +7,7 @@
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import java.util.Scanner;
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public class Assistant {
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public class AssistantExample {
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// To use dotenv, you need to add the "io.github.cdimascio:dotenv-kotlin:version"
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// dependency. Then you can add a .env file in your project directory.
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@@ -0,0 +1,87 @@
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package assistant;
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import com.cjcrafter.openai.OpenAI;
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import com.cjcrafter.openai.assistants.Assistant;
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import com.cjcrafter.openai.assistants.ListAssistantResponse;
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import com.cjcrafter.openai.threads.Thread;
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import com.cjcrafter.openai.threads.message.*;
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import com.cjcrafter.openai.threads.runs.CreateRunRequest;
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import com.cjcrafter.openai.threads.runs.MessageCreationDetails;
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import com.cjcrafter.openai.threads.runs.Run;
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import com.cjcrafter.openai.threads.runs.RunStep;
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import io.github.cdimascio.dotenv.Dotenv;
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import java.util.Scanner;
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public class ThreadExample {
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public static void main(String[] args) throws InterruptedException {
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// To use dotenv, you need to add the "io.github.cdimascio:dotenv-kotlin:version"
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// dependency. Then you can add a .env file in your project directory.
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OpenAI openai = OpenAI.builder()
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.apiKey(Dotenv.load().get("OPENAI_TOKEN"))
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.build();
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// Ask the user to choose an assistant
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ListAssistantResponse assistants = openai.assistants().list();
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for (int i = 0; i < assistants.getData().size(); i++) {
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Assistant assistant = assistants.getData().get(i);
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System.out.println(i + ". " + assistant);
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}
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Scanner scan = new Scanner(System.in);
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int choice = Integer.parseInt(scan.nextLine());
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Assistant assistant = assistants.getData().get(choice);
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// We have to create a new thread. We'll save this thread, so we can
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// add user messages and get responses later.
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Thread thread = openai.threads().create();
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while (true) {
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// Handle user input
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System.out.println("Type your input below: ");
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String input = scan.nextLine();
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openai.threads().messages(thread).create(CreateThreadMessageRequest.builder()
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.role(ThreadUser.USER)
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.content(input)
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.build());
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// After adding a message to the thread, we have to "run" the thread
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Run run = openai.threads().runs(thread).create(CreateRunRequest.builder()
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.assistant(assistant)
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.build());
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// This is a known limitation in OpenAI, and they are working to
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// address this so that we can easily stream a response without
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// nonsense like this.
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while (!run.getStatus().isTerminal()) {
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java.lang.Thread.sleep(1000);
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run = openai.threads().runs(thread).retrieve(run);
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}
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// Once the run stops, we want to retrieve the steps of the run.
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// this includes message outputs, function calls, code
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// interpreters, etc.
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for (RunStep step : openai.threads().runs(thread).steps(run).list().getData()) {
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if (step.getType() != RunStep.Type.MESSAGE_CREATION) {
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System.out.println("Assistant made step: " + step.getType());
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continue;
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}
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// This cast is safe since we checked the type above
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MessageCreationDetails details = (MessageCreationDetails) step.getStepDetails();
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ThreadMessage message = openai.threads().messages(thread).retrieve(details.getMessageCreation().getMessageId());
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for (ThreadMessageContent content : message.getContent()) {
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if (content.getType() != ThreadMessageContent.Type.TEXT) {
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System.err.println("Unhandled message content type: " + content.getType());
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System.err.println("This will never occur since this Assistant doesn't use images.");
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System.exit(-1);
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}
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System.out.println(((TextContent) content).getText().getValue());
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}
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}
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}
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}
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}

‎examples/src/main/java/chat/ChatCompletion.java renamed to ‎examples/src/main/java/chat/ChatCompletionExample.java

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@@ -14,7 +14,7 @@
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/**
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* In this Java example, we will be using the Chat API to create a simple chatbot.
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*/
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public class ChatCompletion {
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public class ChatCompletionExample {
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public static void main(String[] args) {
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‎examples/src/main/java/chat/StreamChatCompletion.java renamed to ‎examples/src/main/java/chat/StreamChatCompletionExample.java

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Original file line numberDiff line numberDiff line change
@@ -15,7 +15,7 @@
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* Instead of waiting for the full response to generate, we will "stream" tokens
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* 1 by 1 as they are generated.
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*/
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public class StreamChatCompletion {
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public class StreamChatCompletionExample {
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public static void main(String[] args) {
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‎examples/src/main/java/chat/StreamChatCompletionFunction.java renamed to ‎examples/src/main/java/chat/StreamChatCompletionFunctionExample.java

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Original file line numberDiff line numberDiff line change
@@ -23,7 +23,7 @@
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* 1 by 1 as they are generated. We will also add a Math tool so that the chatbot
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* can solve math problems with a math parser.
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*/
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public class StreamChatCompletionFunction {
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public class StreamChatCompletionFunctionExample {
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public static void main(String[] args) {
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‎examples/src/main/java/completion/Completion.java renamed to ‎examples/src/main/java/completion/CompletionExample.java

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Original file line numberDiff line numberDiff line change
@@ -8,7 +8,7 @@
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* In this Java example, we will be using the Legacy Completion API to generate
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* a response.
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*/
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public class Completion {
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public class CompletionExample {
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public static void main(String[] args) {
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‎examples/src/main/kotlin/assistant/Thread.kt renamed to ‎examples/src/main/kotlin/assistant/ThreadExample.kt

Lines changed: 1 addition & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -3,7 +3,6 @@ package assistant
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import com.cjcrafter.openai.chat.tool.CodeInterpreterToolCall
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import com.cjcrafter.openai.chat.tool.FunctionToolCall
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import com.cjcrafter.openai.chat.tool.RetrievalToolCall
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import com.cjcrafter.openai.chat.tool.Tool
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import com.cjcrafter.openai.openAI
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import com.cjcrafter.openai.threads.create
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import com.cjcrafter.openai.threads.message.ImageContent
@@ -51,7 +50,7 @@ fun main() {
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// This is a known limitation in OpenAI, and they are working to address
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// this so that we can easily stream a response without nonsense like this.
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while (!run.status.isTerminal) {
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Thread.sleep(2500)
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java.lang.Thread.sleep(1000)
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run = openai.threads.runs(thread).retrieve(run)
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}
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