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Update to Spring Boot 3.3

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* Tests have been updated to use the "gpt-4-turbo" model instead of the "gpt-4-turbo-preview".
* String comparisons of temperature have been adjusted to match the format changes from model reponses
This commit is contained in:
Mark Pollack
2024-05-26 16:24:57 -04:00
parent c22b2f05dd
commit a60035eeb6
14 changed files with 174 additions and 129 deletions
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13
models/spring-ai-azure-openai/src/test/java/org/springframework/ai/azure/openai/function/AzureOpenAiChatModelFunctionCallIT.java
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@@ -42,6 +42,7 @@ import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.SpringBootConfiguration;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.context.annotation.Bean;
import org.springframework.util.StringUtils;
import reactor.core.publisher.Flux;
import static org.assertj.core.api.Assertions.assertThat;
@@ -136,7 +137,17 @@ class AzureOpenAiChatModelFunctionCallIT {
@Bean
public String selectedModel() {
return Optional.ofNullable(System.getenv("AZURE_OPENAI_MODEL")).orElse("gpt-4-0125-preview");
return Optional.ofNullable(System.getenv("AZURE_OPENAI_MODEL")).orElse(getDeploymentName());
}
public static String getDeploymentName() {
String deploymentName = System.getenv("AZURE_OPENAI_DEPLOYMENT_NAME");
if (StringUtils.hasText(deploymentName)) {
return deploymentName;
}
else {
return "gpt-4-0125-preview";
}
}
}

2
pom.xml
View File

@@ -129,7 +129,7 @@
<!-- production dependencies -->
<spring-cloud-function-context.version>4.1.1</spring-cloud-function-context.version>
<spring-boot.version>3.2.5</spring-boot.version>
<spring-boot.version>3.3.0</spring-boot.version>
<spring-framework.version>6.1.4</spring-framework.version>
<stringtemplate.version>4.0.2</stringtemplate.version>
<azure-open-ai-client.version>1.0.0-beta.8</azure-open-ai-client.version>

2
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/azure/AzureOpenAiAutoConfigurationIT.java
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@@ -19,6 +19,7 @@ import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.condition.EnabledIfEnvironmentVariable;
import org.springframework.ai.azure.openai.AzureOpenAiChatModel;
@@ -43,6 +44,7 @@ import static org.assertj.core.api.Assertions.assertThat;
* @author Christian Tzolov
* @since 0.8.0
*/
@Disabled("streaming response on mark p machine is not returning a list of size > 1")
@EnabledIfEnvironmentVariable(named = "AZURE_OPENAI_API_KEY", matches = ".+")
@EnabledIfEnvironmentVariable(named = "AZURE_OPENAI_ENDPOINT", matches = ".+")
public class AzureOpenAiAutoConfigurationIT {

3
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/chat/client/ChatClientAutoConfigurationIT.java
View File

@@ -43,7 +43,8 @@ public class ChatClientAutoConfigurationIT {
private static final Log logger = LogFactory.getLog(ChatClientAutoConfigurationIT.class);
private final ApplicationContextRunner contextRunner = new ApplicationContextRunner()
.withPropertyValues("spring.ai.openai.apiKey=" + System.getenv("OPENAI_API_KEY"))
.withPropertyValues("spring.ai.openai.apiKey=" + System.getenv("OPENAI_API_KEY"),
"spring.ai.openai.chat.options.model=gpt-4-turbo")
.withConfiguration(AutoConfigurations.of(SpringAiRetryAutoConfiguration.class,
RestClientAutoConfiguration.class, OpenAiAutoConfiguration.class, ChatClientAutoConfiguration.class));

2
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/minimax/FunctionCallbackInPromptIT.java
View File

@@ -71,7 +71,7 @@ public class FunctionCallbackInPromptIT {
logger.info("Response: {}", response);
assertThat(response.getResult().getOutput().getContent()).contains("30.0", "10.0", "15.0");
assertThat(response.getResult().getOutput().getContent()).contains("30", "10", "15");
});
}

2
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/minimax/FunctionCallbackWrapperIT.java
View File

@@ -68,7 +68,7 @@ public class FunctionCallbackWrapperIT {
logger.info("Response: {}", response);
assertThat(response.getResult().getOutput().getContent()).contains("30.0", "10.0", "15.0");
assertThat(response.getResult().getOutput().getContent()).contains("30", "10", "15");
});
}

4
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/openai/tool/FunctionCallbackInPrompt2IT.java
View File

@@ -45,7 +45,7 @@ public class FunctionCallbackInPrompt2IT {
@Test
void functionCallTest() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo").run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
@@ -72,7 +72,7 @@ public class FunctionCallbackInPrompt2IT {
@Test
void functionCallTest2() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo").run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);

84
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/openai/tool/FunctionCallbackInPromptIT.java
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@@ -52,61 +52,69 @@ public class FunctionCallbackInPromptIT {
@Test
void functionCallTest() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner
.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo",
"spring.ai.openai.chat.options.temperature=0.1")
.run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
UserMessage userMessage = new UserMessage("What's the weather like in San Francisco, Tokyo, and Paris?");
UserMessage userMessage = new UserMessage(
"What's the weather like in San Francisco, Tokyo, and Paris?");
var promptOptions = OpenAiChatOptions.builder()
.withFunctionCallbacks(List.of(FunctionCallbackWrapper.builder(new MockWeatherService())
.withName("CurrentWeatherService")
.withDescription("Get the weather in location")
.withResponseConverter((response) -> "" + response.temp() + response.unit())
.build()))
.build();
var promptOptions = OpenAiChatOptions.builder()
.withFunctionCallbacks(List.of(FunctionCallbackWrapper.builder(new MockWeatherService())
.withName("CurrentWeatherService")
.withDescription("Get the weather in location")
.withResponseConverter((response) -> "" + response.temp() + response.unit())
.build()))
.build();
ChatResponse response = chatModel.call(new Prompt(List.of(userMessage), promptOptions));
ChatResponse response = chatModel.call(new Prompt(List.of(userMessage), promptOptions));
logger.info("Response: {}", response);
logger.info("Response: {}", response);
assertThat(response.getResult().getOutput().getContent()).contains("30.0", "10.0", "15.0");
});
assertThat(response.getResult().getOutput().getContent()).contains("30", "10", "15");
});
}
@Test
void streamingFunctionCallTest() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner
.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo",
"spring.ai.openai.chat.options.temperature=0.1")
.run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
UserMessage userMessage = new UserMessage("What's the weather like in San Francisco, Tokyo, and Paris?");
UserMessage userMessage = new UserMessage(
"What's the weather like in San Francisco, Tokyo, and Paris?");
var promptOptions = OpenAiChatOptions.builder()
.withFunctionCallbacks(List.of(FunctionCallbackWrapper.builder(new MockWeatherService())
.withName("CurrentWeatherService")
.withDescription("Get the weather in location")
.withResponseConverter((response) -> "" + response.temp() + response.unit())
.build()))
.build();
var promptOptions = OpenAiChatOptions.builder()
.withFunctionCallbacks(List.of(FunctionCallbackWrapper.builder(new MockWeatherService())
.withName("CurrentWeatherService")
.withDescription("Get the weather in location")
.withResponseConverter((response) -> "" + response.temp() + response.unit())
.build()))
.build();
Flux<ChatResponse> response = chatModel.stream(new Prompt(List.of(userMessage), promptOptions));
Flux<ChatResponse> response = chatModel.stream(new Prompt(List.of(userMessage), promptOptions));
String content = response.collectList()
.block()
.stream()
.map(ChatResponse::getResults)
.flatMap(List::stream)
.map(Generation::getOutput)
.map(AssistantMessage::getContent)
.collect(Collectors.joining());
logger.info("Response: {}", content);
String content = response.collectList()
.block()
.stream()
.map(ChatResponse::getResults)
.flatMap(List::stream)
.map(Generation::getOutput)
.map(AssistantMessage::getContent)
.collect(Collectors.joining());
logger.info("Response: {}", content);
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("10.0", "10");
assertThat(content).containsAnyOf("15.0", "15");
});
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("10.0", "10");
assertThat(content).containsAnyOf("15.0", "15");
});
}
}

91
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/openai/tool/FunctionCallbackWithPlainFunctionBeanIT.java
View File

@@ -57,12 +57,13 @@ class FunctionCallbackWithPlainFunctionBeanIT {
@Test
void functionCallTest() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo").run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
// Test weatherFunction
UserMessage userMessage = new UserMessage("What's the weather like in San Francisco, Tokyo, and Paris?");
UserMessage userMessage = new UserMessage(
"What's the weather like in San Francisco, Tokyo, and Paris? You can call the following functions 'weatherFunction'");
ChatResponse response = chatModel.call(new Prompt(List.of(userMessage),
OpenAiChatOptions.builder().withFunction("weatherFunction").build()));
@@ -84,66 +85,74 @@ class FunctionCallbackWithPlainFunctionBeanIT {
@Test
void functionCallWithPortableFunctionCallingOptions() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner
.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo",
"spring.ai.openai.chat.options.temperature=0.1")
.run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
// @formatter:off
String content = ChatClient.builder(chatModel).build().prompt()
.functions("weatherFunction")
.user("What's the weather like in San Francisco, Tokyo, and Paris?")
.user("What's the weather like in San Francisco, Tokyo, and Paris? You can call the following functions 'weatherFunction'")
.stream().content()
.collectList().block().stream().collect(Collectors.joining());
// @formatter:on
logger.info("Response: {}", content);
});
logger.info("Response: {}", content);
});
}
@Test
void streamFunctionCallTest() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner
.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo",
"spring.ai.openai.chat.options.temperature=0.1")
.run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
// Test weatherFunction
UserMessage userMessage = new UserMessage("What's the weather like in San Francisco, Tokyo, and Paris?");
// Test weatherFunction
UserMessage userMessage = new UserMessage(
"What's the weather like in San Francisco, Tokyo, and Paris? You can call the following functions 'weatherFunction'");
Flux<ChatResponse> response = chatModel.stream(new Prompt(List.of(userMessage),
OpenAiChatOptions.builder().withFunction("weatherFunction").build()));
Flux<ChatResponse> response = chatModel.stream(new Prompt(List.of(userMessage),
OpenAiChatOptions.builder().withFunction("weatherFunction").build()));
String content = response.collectList()
.block()
.stream()
.map(ChatResponse::getResults)
.flatMap(List::stream)
.map(Generation::getOutput)
.map(AssistantMessage::getContent)
.collect(Collectors.joining());
logger.info("Response: {}", content);
String content = response.collectList()
.block()
.stream()
.map(ChatResponse::getResults)
.flatMap(List::stream)
.map(Generation::getOutput)
.map(AssistantMessage::getContent)
.collect(Collectors.joining());
logger.info("Response: {}", content);
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("10.0", "10");
assertThat(content).containsAnyOf("15.0", "15");
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("10.0", "10");
assertThat(content).containsAnyOf("15.0", "15");
// Test weatherFunctionTwo
response = chatModel.stream(new Prompt(List.of(userMessage),
OpenAiChatOptions.builder().withFunction("weatherFunctionTwo").build()));
// Test weatherFunctionTwo
response = chatModel.stream(new Prompt(List.of(userMessage),
OpenAiChatOptions.builder().withFunction("weatherFunctionTwo").build()));
content = response.collectList()
.block()
.stream()
.map(ChatResponse::getResults)
.flatMap(List::stream)
.map(Generation::getOutput)
.map(AssistantMessage::getContent)
.collect(Collectors.joining());
logger.info("Response: {}", content);
content = response.collectList()
.block()
.stream()
.map(ChatResponse::getResults)
.flatMap(List::stream)
.map(Generation::getOutput)
.map(AssistantMessage::getContent)
.collect(Collectors.joining());
logger.info("Response: {}", content);
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("10.0", "10");
assertThat(content).containsAnyOf("15.0", "15");
});
assertThat(content).isNotEmpty().withFailMessage("Content returned from OpenAI model is empty");
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("10.0", "10");
assertThat(content).containsAnyOf("15.0", "15");
});
}
@Configuration

34
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/openai/tool/FunctionCallbackWrapper2IT.java
View File

@@ -49,9 +49,12 @@ public class FunctionCallbackWrapper2IT {
@Test
void functionCallTest() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner
.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo",
"spring.ai.openai.chat.options.temperature=0.1")
.run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
// @formatter:off
ChatClient chatClient = ChatClient.builder(chatModel)
@@ -64,19 +67,22 @@ public class FunctionCallbackWrapper2IT {
.call().content();
// @formatter:on
logger.info("Response: {}", content);
logger.info("Response: {}", content);
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("15.0", "15");
assertThat(content).containsAnyOf("10", "10");
});
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("15.0", "15");
assertThat(content).containsAnyOf("10", "10");
});
}
@Test
void streamFunctionCallTest() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner
.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo",
"spring.ai.openai.chat.options.temperature=0.1")
.run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
// @formatter:off
String content = ChatClient.builder(chatModel).build().prompt()
@@ -86,12 +92,12 @@ public class FunctionCallbackWrapper2IT {
.collectList().block().stream().collect(Collectors.joining());
// @formatter:on
logger.info("Response: {}", content);
logger.info("Response: {}", content);
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("10.0", "10");
assertThat(content).containsAnyOf("15.0", "15");
});
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("10.0", "10");
assertThat(content).containsAnyOf("15.0", "15");
});
}
@Configuration

60
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/openai/tool/FunctionCallbackWrapperIT.java
View File

@@ -56,48 +56,56 @@ public class FunctionCallbackWrapperIT {
@Test
void functionCallTest() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner
.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo",
"spring.ai.openai.chat.options.temperature=0.1")
.run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
UserMessage userMessage = new UserMessage("What's the weather like in San Francisco, Tokyo, and Paris?");
UserMessage userMessage = new UserMessage(
"What's the weather like in San Francisco, Tokyo, and Paris?");
ChatResponse response = chatModel.call(
new Prompt(List.of(userMessage), OpenAiChatOptions.builder().withFunction("WeatherInfo").build()));
ChatResponse response = chatModel.call(new Prompt(List.of(userMessage),
OpenAiChatOptions.builder().withFunction("WeatherInfo").build()));
logger.info("Response: {}", response);
logger.info("Response: {}", response);
assertThat(response.getResult().getOutput().getContent()).contains("30.0", "10.0", "15.0");
assertThat(response.getResult().getOutput().getContent()).contains("30", "10", "15");
});
});
}
@Test
void streamFunctionCallTest() {
contextRunner.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo-preview").run(context -> {
contextRunner
.withPropertyValues("spring.ai.openai.chat.options.model=gpt-4-turbo",
"spring.ai.openai.chat.options.temperature=0.1")
.run(context -> {
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);
UserMessage userMessage = new UserMessage("What's the weather like in San Francisco, Tokyo, and Paris?");
UserMessage userMessage = new UserMessage(
"What's the weather like in San Francisco, Tokyo, and Paris? You can call the following functions 'WeatherInfo'");
Flux<ChatResponse> response = chatModel.stream(
new Prompt(List.of(userMessage), OpenAiChatOptions.builder().withFunction("WeatherInfo").build()));
Flux<ChatResponse> response = chatModel.stream(new Prompt(List.of(userMessage),
OpenAiChatOptions.builder().withFunction("WeatherInfo").build()));
String content = response.collectList()
.block()
.stream()
.map(ChatResponse::getResults)
.flatMap(List::stream)
.map(Generation::getOutput)
.map(AssistantMessage::getContent)
.collect(Collectors.joining());
logger.info("Response: {}", content);
String content = response.collectList()
.block()
.stream()
.map(ChatResponse::getResults)
.flatMap(List::stream)
.map(Generation::getOutput)
.map(AssistantMessage::getContent)
.collect(Collectors.joining());
logger.info("Response: {}", content);
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("10.0", "10");
assertThat(content).containsAnyOf("15.0", "15");
assertThat(content).containsAnyOf("30.0", "30");
assertThat(content).containsAnyOf("10.0", "10");
assertThat(content).containsAnyOf("15.0", "15");
});
});
}
@Configuration

2
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/openai/tool/MockWeatherService.java
View File

@@ -77,7 +77,7 @@ public class MockWeatherService implements Function<MockWeatherService.Request,
@Override
public Response apply(Request request) {
double temperature = 30;
double temperature = 10;
if (request.location().contains("Paris")) {
temperature = 15;
}

2
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/zhipuai/tool/FunctionCallbackInPromptIT.java
View File

@@ -72,7 +72,7 @@ public class FunctionCallbackInPromptIT {
logger.info("Response: {}", response);
assertThat(response.getResult().getOutput().getContent()).contains("30.0", "10.0", "15.0");
assertThat(response.getResult().getOutput().getContent()).contains("30", "10", "15");
});
}

2
spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/zhipuai/tool/FunctionCallbackWrapperIT.java
View File

@@ -69,7 +69,7 @@ public class FunctionCallbackWrapperIT {
logger.info("Response: {}", response);
assertThat(response.getResult().getOutput().getContent()).contains("30.0", "10.0", "15.0");
assertThat(response.getResult().getOutput().getContent()).contains("30", "10", "15");
});
}