Allow null or empty userText if request contains Tool Response message

- Add a new test case for testing function call with advisor in BedrockConverseChatClientIT
- Add a new test case for testing tool proxy function call in OpenAiChatClientProxyFunctionCallsIT
- Remove unused model property from BedrockConverseProxyChatProperties

models/spring-ai-bedrock-converse/src/test/java/org/springframework/ai/bedrock/converse/BedrockConverseChatClientIT.java

@@ -222,6 +222,23 @@ class BedrockConverseChatClientIT {
 		assertThat(response).contains("30", "10", "15");
 	}
 
+	@Test
+	void functionCallWithAdvisorTest() {
+
+		// @formatter:off
+		String response = ChatClient.create(this.chatModel)
+				.prompt("What's the weather like in San Francisco, Tokyo, and Paris? Return the temperature in Celsius.")
+				.function("getCurrentWeather", "Get the weather in location", new MockWeatherService())
+				.advisors(new SimpleLoggerAdvisor())
+				.call()
+				.content();
+		// @formatter:on
+
+		logger.info("Response: {}", response);
+
+		assertThat(response).contains("30", "10", "15");
+	}
+
 	@Test
 	void defaultFunctionCallTest() {
 

models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/client/OpenAiChatClientProxyFunctionCallsIT.java

@@ -0,0 +1,185 @@
+/*
+ * Copyright 2023-2024 the original author or authors.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.springframework.ai.openai.chat.client;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Optional;
+import java.util.Set;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.JsonMappingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import org.junit.jupiter.api.Test;
+import org.junit.jupiter.api.condition.EnabledIfEnvironmentVariable;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import org.springframework.ai.chat.client.ChatClient;
+import org.springframework.ai.chat.messages.AssistantMessage;
+import org.springframework.ai.chat.messages.Message;
+import org.springframework.ai.chat.messages.ToolResponseMessage;
+import org.springframework.ai.chat.messages.UserMessage;
+import org.springframework.ai.chat.model.ChatResponse;
+import org.springframework.ai.chat.model.Generation;
+import org.springframework.ai.model.ModelOptionsUtils;
+import org.springframework.ai.model.function.FunctionCallback;
+import org.springframework.ai.model.function.ToolCallHelper;
+import org.springframework.ai.openai.OpenAiChatModel;
+import org.springframework.ai.openai.OpenAiChatOptions;
+import org.springframework.ai.openai.OpenAiTestConfiguration;
+import org.springframework.ai.openai.api.OpenAiApi;
+import org.springframework.ai.openai.testutils.AbstractIT;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.test.context.SpringBootTest;
+import org.springframework.core.io.Resource;
+import org.springframework.test.context.ActiveProfiles;
+import org.springframework.util.CollectionUtils;
+
+import static org.assertj.core.api.Assertions.assertThat;
+
+@SpringBootTest(classes = OpenAiTestConfiguration.class)
+@EnabledIfEnvironmentVariable(named = "OPENAI_API_KEY", matches = ".+")
+@ActiveProfiles("logging-test")
+class OpenAiChatClientProxyFunctionCallsIT extends AbstractIT {
+
+	private static final Logger logger = LoggerFactory.getLogger(OpenAiChatClientMultipleFunctionCallsIT.class);
+
+	@Value("classpath:/prompts/system-message.st")
+	private Resource systemTextResource;
+
+	FunctionCallback functionDefinition = new ToolCallHelper.FunctionDefinition("getWeatherInLocation",
+			"Get the weather in location", """
+					{
+						"type": "object",
+						"properties": {
+							"location": {
+								"type": "string",
+								"description": "The city and state e.g. San Francisco, CA"
+							},
+							"unit": {
+								"type": "string",
+								"enum": ["C", "F"]
+							}
+						},
+						"required": ["location", "unit"]
+					}
+					""");
+
+	@Autowired
+	private OpenAiChatModel chatModel;
+
+	// Helper class that reuses some of the {@link AbstractToolCallSupport} functionality
+	// to help to implement the function call handling logic on the client side.
+	private ToolCallHelper toolCallHelper = new ToolCallHelper();
+
+	// Function which will be called by the AI model.
+	private String getWeatherInLocation(String location, String unit) {
+
+		double temperature = 0;
+
+		if (location.contains("Paris")) {
+			temperature = 15;
+		}
+		else if (location.contains("Tokyo")) {
+			temperature = 10;
+		}
+		else if (location.contains("San Francisco")) {
+			temperature = 30;
+		}
+
+		return String.format("The weather in %s is %s%s", location, temperature, unit);
+	}
+
+	@Test
+	void toolProxyFunctionCall() throws JsonMappingException, JsonProcessingException {
+
+		List<Message> messages = List
+			.of(new UserMessage("What's the weather like in San Francisco, Tokyo, and Paris?"));
+
+		boolean isToolCall = false;
+
+		ChatResponse chatResponse = null;
+
+		var chatClient = ChatClient.builder(this.chatModel).build();
+
+		do {
+
+			chatResponse = chatClient.prompt()
+				.messages(messages)
+				.functions(this.functionDefinition)
+				.options(OpenAiChatOptions.builder().withProxyToolCalls(true).build())
+				.call()
+				.chatResponse();
+
+			// Note that the tool call check could be platform specific because the finish
+			// reasons.
+			isToolCall = this.toolCallHelper.isToolCall(chatResponse,
+					Set.of(OpenAiApi.ChatCompletionFinishReason.TOOL_CALLS.name(),
+							OpenAiApi.ChatCompletionFinishReason.STOP.name()));
+
+			if (isToolCall) {
+
+				Optional<Generation> toolCallGeneration = chatResponse.getResults()
+					.stream()
+					.filter(g -> !CollectionUtils.isEmpty(g.getOutput().getToolCalls()))
+					.findFirst();
+
+				assertThat(toolCallGeneration).isNotEmpty();
+
+				AssistantMessage assistantMessage = toolCallGeneration.get().getOutput();
+
+				List<ToolResponseMessage.ToolResponse> toolResponses = new ArrayList<>();
+
+				for (AssistantMessage.ToolCall toolCall : assistantMessage.getToolCalls()) {
+
+					var functionName = toolCall.name();
+
+					assertThat(functionName).isEqualTo("getWeatherInLocation");
+
+					String functionArguments = toolCall.arguments();
+
+					@SuppressWarnings("unchecked")
+					Map<String, String> argumentsMap = new ObjectMapper().readValue(functionArguments, Map.class);
+
+					String functionResponse = getWeatherInLocation(argumentsMap.get("location").toString(),
+							argumentsMap.get("unit").toString());
+
+					toolResponses.add(new ToolResponseMessage.ToolResponse(toolCall.id(), functionName,
+							ModelOptionsUtils.toJsonString(functionResponse)));
+				}
+
+				ToolResponseMessage toolMessageResponse = new ToolResponseMessage(toolResponses, Map.of());
+
+				messages = this.toolCallHelper.buildToolCallConversation(messages, assistantMessage,
+						toolMessageResponse);
+
+				assertThat(messages).isNotEmpty();
+
+				// prompt = new Prompt(toolCallConversation, prompt.getOptions());
+			}
+		}
+		while (isToolCall);
+
+		logger.info("Response: {}", chatResponse);
+
+		assertThat(chatResponse.getResult().getOutput().getContent()).contains("30", "10", "15");
+	}
+
+}

spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AdvisedRequest.java

@@ -84,7 +84,8 @@ public record AdvisedRequest(
 
 	public AdvisedRequest {
 		Assert.notNull(chatModel, "chatModel cannot be null");
-		Assert.hasText(userText, "userText cannot be null or empty");
+		Assert.isTrue(StringUtils.hasText(userText) || !CollectionUtils.isEmpty(messages),
+				"userText cannot be null or empty unless messages are provided and contain Tool Response message.");
 		Assert.notNull(media, "media cannot be null");
 		Assert.noNullElements(media, "media cannot contain null elements");
 		Assert.notNull(functionNames, "functionNames cannot be null");

spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/api/AdvisedRequestTests.java

@@ -54,7 +54,8 @@ class AdvisedRequestTests {
 		assertThatThrownBy(() -> new AdvisedRequest(mock(ChatModel.class), null, null, null, List.of(), List.of(),
 				List.of(), List.of(), Map.of(), Map.of(), List.of(), Map.of(), Map.of(), Map.of()))
 			.isInstanceOf(IllegalArgumentException.class)
-			.hasMessage("userText cannot be null or empty");
+			.hasMessage(
+					"userText cannot be null or empty unless messages are provided and contain Tool Response message.");
 	}
 
 	@Test
@@ -62,7 +63,8 @@ class AdvisedRequestTests {
 		assertThatThrownBy(() -> new AdvisedRequest(mock(ChatModel.class), "", null, null, List.of(), List.of(),
 				List.of(), List.of(), Map.of(), Map.of(), List.of(), Map.of(), Map.of(), Map.of()))
 			.isInstanceOf(IllegalArgumentException.class)
-			.hasMessage("userText cannot be null or empty");
+			.hasMessage(
+					"userText cannot be null or empty unless messages are provided and contain Tool Response message.");
 	}
 
 	@Test

spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/bedrock/converse/BedrockConverseProxyChatProperties.java

@@ -16,7 +16,6 @@
 
 package org.springframework.ai.autoconfigure.bedrock.converse;
 
-import org.springframework.ai.bedrock.converse.BedrockProxyChatModel;
 import org.springframework.ai.model.function.FunctionCallingOptionsBuilder.PortableFunctionCallingOptions;
 import org.springframework.boot.context.properties.ConfigurationProperties;
 import org.springframework.boot.context.properties.NestedConfigurationProperty;
@@ -38,12 +37,6 @@ public class BedrockConverseProxyChatProperties {
 	 */
 	private boolean enabled = true;
 
-	/**
-	 * The generative id to use. See the {@link BedrockProxyChatModel} for the supported
-	 * models.
-	 */
-	private String model = "anthropic.claude-3-5-sonnet-20240620-v1:0";
-
 	@NestedConfigurationProperty
 	private PortableFunctionCallingOptions options = PortableFunctionCallingOptions.builder()
 		.withTemperature(0.7)
@@ -59,14 +52,6 @@ public class BedrockConverseProxyChatProperties {
 		this.enabled = enabled;
 	}
 
-	public String getModel() {
-		return this.model;
-	}
-
-	public void setModel(String model) {
-		this.model = model;
-	}
-
 	public PortableFunctionCallingOptions getOptions() {
 		return this.options;
 	}

spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/bedrock/converse/BedrockConverseProxyChatPropertiesTests.java

@@ -71,12 +71,12 @@ public class BedrockConverseProxyChatPropertiesTests {
 			.run(context -> assertThat(context.getBeansOfType(BedrockConverseProxyChatProperties.class)).isNotEmpty());
 
 		// Explicitly enable the chat auto-configuration.
-		new ApplicationContextRunner().withPropertyValues("spring.ai.bedrock.converse.chat..enabled=true")
+		new ApplicationContextRunner().withPropertyValues("spring.ai.bedrock.converse.chat.enabled=true")
 			.withConfiguration(AutoConfigurations.of(BedrockConverseProxyChatAutoConfiguration.class))
 			.run(context -> assertThat(context.getBeansOfType(BedrockConverseProxyChatProperties.class)).isNotEmpty());
 
 		// Explicitly disable the chat auto-configuration.
-		new ApplicationContextRunner().withPropertyValues("spring.ai.bedrock.converse.chat..enabled=false")
+		new ApplicationContextRunner().withPropertyValues("spring.ai.bedrock.converse.chat.enabled=false")
 			.withConfiguration(AutoConfigurations.of(BedrockConverseProxyChatAutoConfiguration.class))
 			.run(context -> assertThat(context.getBeansOfType(BedrockConverseProxyChatProperties.class)).isEmpty());
 	}