Primeiro Commit

.classpath

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+<?xml version="1.0" encoding="UTF-8"?>
+<classpath>
+ <classpathentry kind="src" output="target/classes" path="src/main/java">
+ <attributes>
+ <attribute name="optional" value="true"/>
+ <attribute name="maven.pomderived" value="true"/>
+ </attributes>
+ </classpathentry>
+ <classpathentry excluding="**" kind="src" output="target/classes" path="src/main/resources">
+ <attributes>
+ <attribute name="maven.pomderived" value="true"/>
+ </attributes>
+ </classpathentry>
+ <classpathentry kind="src" output="target/test-classes" path="src/test/java">
+ <attributes>
+ <attribute name="test" value="true"/>
+ <attribute name="optional" value="true"/>
+ <attribute name="maven.pomderived" value="true"/>
+ </attributes>
+ </classpathentry>
+ <classpathentry excluding="**" kind="src" output="target/test-classes" path="src/test/resources">
+ <attributes>
+ <attribute name="test" value="true"/>
+ <attribute name="maven.pomderived" value="true"/>
+ </attributes>
+ </classpathentry>
+ <classpathentry kind="con" path="org.eclipse.m2e.MAVEN2_CLASSPATH_CONTAINER">
+ <attributes>
+ <attribute name="maven.pomderived" value="true"/>
+ </attributes>
+ </classpathentry>
+ <classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/JavaSE-1.8">
+ <attributes>
+ <attribute name="maven.pomderived" value="true"/>
+ </attributes>
+ </classpathentry>
+ <classpathentry kind="output" path="target/classes"/>
+</classpath>

.gitignore

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+/target/**

README.md

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+# openai.gpt3-turbo
+JAVA project created to consume the OpenAI Chat Completions API | Projeto em JAVA criado para consumir a API Chat Completions da OpenAI

pom.xml

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+<project xmlns="http:https://maven.apache.org/POM/4.0.0" xmlns:xsi="http:https://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http:https://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
+ <modelVersion>4.0.0</modelVersion>
+ <groupId>br.com.limax.openai.gpt3turbo</groupId>
+ <artifactId>openai.gpt3-turbo</artifactId>
+ <version>0.0.1-SNAPSHOT</version>
+ <dependencies>
+ <dependency>
+ <groupId>org.apache.httpcomponents</groupId>
+ <artifactId>httpclient</artifactId>
+ <version>4.5.13</version>
+ </dependency>
+ <dependency>
+ <groupId>org.json</groupId>
+ <artifactId>json</artifactId>
+ <version>20210307</version>
+ </dependency>
+ <dependency>
+ <groupId>junit</groupId>
+ <artifactId>junit</artifactId>
+ <version>4.13.2</version>
+ <scope>test</scope>
+ </dependency>
+ </dependencies> 
+ <build>
+ <plugins>
+ <plugin>
+ <groupId>org.apache.maven.plugins</groupId>
+ <artifactId>maven-compiler-plugin</artifactId>
+ <version>3.8.0</version>
+ <configuration>
+ <source>8</source>
+ <target>8</target>
+ </configuration>
+ </plugin>
+ <plugin>
+ <groupId>org.apache.maven.plugins</groupId>
+ <artifactId>maven-jar-plugin</artifactId>
+ <version>3.2.0</version>
+ <configuration>
+ <archive>
+ <manifest>
+ <addClasspath>true</addClasspath>
+ <mainClass>package.path.to.YourMainClass</mainClass>
+ </manifest>
+ </archive>
+ </configuration>
+ </plugin> 
+ </plugins>
+ </build>
+</project>

src/main/java/br/com/limax/openai/gpt3turbo/ChatCompletionRequestBody.java

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+package br.com.limax.openai.gpt3turbo;
+
+import java.util.ArrayList;
+import java.util.List;
+
+public class ChatCompletionRequestBody {
+
+ private double temperature = 1;
+ private String model = "gpt-3.5-turbo";
+ private int maxTokens = 4096;
+ private double topP = 1;
+ private double presencePenalty = 0;
+ private double frequencyPenalty = 0;
+ private int n = 1;
+
+
+ private List<ChatMessage> message = new ArrayList<>();
+
+ public void addMessage(ChatMessage chatMessage) {
+ message.add(chatMessage);
+ }
+
+ /**
+ * @return the temperature
+ */
+ public double getTemperature() {
+ return temperature;
+ }
+
+ /**
+ * [EN]
+ * <b>temperature</b> Optional Defaults to 1<br/>
+ * What sampling temperature to use, between 0 and 2. 
+ * Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
+ * <br/><b>We generally recommend altering this or top_p but not both.</b>
+ * <br/>
+ * [PT-BR]
+ * <b>temperature</b> Opcional Default é 1<br/>
+ * Qual temperatura de amostragem usar, entre 0 e 2.
+ * Valores mais altos, como 0,8, tornarão a saída mais aleatória, enquanto valores mais baixos, como 0,2, a tornarão mais focada e determinística.
+ * <br/><b>Geralmente recomendamos alterar isso ou top_p, mas não ambos.</b>
+ * @param temperature the temperature to set
+ */
+ public void setTemperature(double temperature) {
+ this.temperature = temperature;
+ }
+
+ /**
+ * @return the model
+ */
+ public String getModel() {
+ return model;
+ }
+
+ /**
+ * [EN]
+ * <b>model</b> Mandatory<br/>
+ * 2023-mar-13. ID of the model to use. Currently, only <b>gpt-3.5-turbo</b> and <b>gpt-3.5-turbo-0301</b> are supported.
+ * <br/>
+ * [PT-BR]
+ * <b>model</b> Obrigatório<br/>
+ * 2023-mar-13. ID do modelo a ser usado. Atualmente, apenas <b>gpt-3.5-turbo</b> e <b>gpt-3.5-turbo-0301</b> são suportados.
+ * 
+ * @param model the max_tokens to set
+ */ 
+ public void setModel(String model) {
+ this.model = model;
+ }
+
+ /**
+ * @return the message
+ */
+ public List<ChatMessage> getMessage() {
+ return message;
+ }
+
+ /**
+ * @return the maxTokens
+ */ 
+ public int getMaxTokens() {
+ return maxTokens;
+ }
+
+ /**
+ * [EN]
+ * The maximum number of tokens allowed for the generated answer. 
+ * By default, the number of tokens the model can return will be (4096 - prompt tokens).
+ * <br/>
+ * [PT-BR]
+ * O número máximo de tokens permitidos para a resposta gerada.
+ * Por padrão, o número de tokens que o modelo pode retornar será (4096 - tokens de prompt).
+ * @param maxTokens the max_tokens to set
+ */ 
+ public void setMaxTokens(int maxTokens) {
+ this.maxTokens = maxTokens;
+ }
+
+ /**
+ * @return the topP
+ */ 
+ public double getTopP() {
+ return topP;
+ }
+
+ /**
+ * [EN]
+ * <b>top_p</b> Optional Defaults to 1<br/>
+ * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. 
+ * So 0.1 means only the tokens comprising the top 10% probability mass are considered. 
+ * <br/><b>We generally recommend altering this or temperature but not both.</b>
+ * <br/>
+ * [PT-BR]
+ * <b>top_p</b> Opcional Default é 1<br/>
+ * Uma alternativa para amostragem com temperatura, chamada de amostragem de núcleo, onde o modelo considera os resultados dos tokens com massa de probabilidade top_p.
+ * Portanto, 0,1 significa que apenas os tokens que compõem a massa de probabilidade de 10% são considerados.
+ * <br/><b>Geralmente recomendamos alterar isso ou temperature, mas não ambos.</b>
+ * @param topP the top_p to set * 
+ */ 
+ public void setTopP(double topP) {
+ this.topP = topP;
+ }
+
+ /**
+ * @return the presencePenalty
+ */
+ public double getPresencePenalty() {
+ return presencePenalty;
+ }
+
+ /**
+ * [EN]
+ * <b>presence_penalty</b> Optional Defaults to 0<br/>
+ * Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they
+ * appear in the text so far, increasing the model's likelihood to talk about new topics.
+ * <br/>
+ * [PT-BR]
+ * <b>presence_penalty</b> Opcional Default é 0<br/>
+ * Número entre -2,0 e 2,0. Valores positivos penalizam novos tokens com base em sua presença no texto até o momento, 
+ * aumentando a probabilidade do modelo falar sobre novos tópicos.
+ * 
+ * <br/><br/><b>https://platform.openai.com/docs/api-reference/parameter-details</b>
+ * 
+ * @param presencePenalty the presence_penalty to set
+ */
+ public void setPresencePenalty(double presencePenalty) {
+ this.presencePenalty = presencePenalty;
+ }
+
+ /**
+ * @return the frequencyPenalty
+ */
+ public double getFrequencyPenalty() {
+ return frequencyPenalty;
+ }
+
+ /**
+ * [EN]
+ * <b>frequency_penalty</b> Optional Defaults to 0<br/>
+ * Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, 
+ * decreasing the model's likelihood to repeat the same line verbatim.
+ * <br/>
+ * [PT-BR]
+ * <b>frequency_penalty</b> Opcional Default é 0<br/>
+ * Número entre -2,0 e 2,0. Valores positivos penalizam novos tokens com base em sua frequência existente no texto até o momento, 
+ * diminuindo a probabilidade do modelo repetir a mesma linha textualmente. 
+ * 
+ * <br/><br/><b>https://platform.openai.com/docs/api-reference/parameter-details</b>
+ * 
+ * @param frequencyPenalty the frequency_penalty to set
+ */
+ public void setFrequencyPenalty(double frequencyPenalty) {
+ this.frequencyPenalty = frequencyPenalty;
+ }
+
+ /**
+ * @return the n
+ */
+ public int getN() {
+ return n;
+ }
+
+ /**
+ * [EN]
+ * <b>n</b> Optional Defaults to 1<br/>
+ * How many chat completion choices to generate for each input message.
+ * <br/>
+ * [PT-BR]
+ * <b>n</b> Opcional Default é 1<br/>
+ * Quantas opções de conclusão de bate-papo serão geradas para cada mensagem de entrada.
+ * 
+ * @param n the max_tokens to set
+ */ 
+ public void setN(int n) {
+ this.n = n;
+ }
+
+
+}

src/main/java/br/com/limax/openai/gpt3turbo/ChatMessage.java

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+package br.com.limax.openai.gpt3turbo;
+
+public class ChatMessage {
+
+ private String role;
+ private String content;
+
+ public ChatMessage(String role,String content) {
+ this.role = role;
+ this.content = content;
+ }
+
+ /**
+ * @return the role
+ */
+ public String getRole() {
+ return role;
+ }
+ /**
+ * @param role the role to set
+ */
+ public void setRole(String role) {
+ this.role = role;
+ }
+ /**
+ * @return the content
+ */
+ public String getContent() {
+ return content;
+ }
+ /**
+ * @param content the content to set
+ */
+ public void setContent(String content) {
+ this.content = content;
+ }
+
+
+
+}