Remove FunctionCallback deprecations

    - Remove the super type FunctionCallingOptions from ToolCallingChatOptions

        - Move toolContext builder methods into ToolCallingChatOptions

    - Remove Model chat options' function specific usages

        - Replace them with tooling:

              FunctionCallback -> ToolCallback
              functions -> toolNames
        - Remove proxyToolCalls use

        - Remove deprecated methods

     - Update ChatClient methods

        - Replace FunctionCallback -> ToolCallback

        - Remove deprecated methods

     - Update DefaultChatClient

        - functionNames -> toolNames
        - functionCallbacks -> toolCallbacks

     - Update AdviseRequest

        - functionNames -> toolNames
        - functionCallbacks -> toolCallbacks
        - Remove FunctionCallingOptions and replace it with ToolCallingOptions

      - Remove FunctionCallingHelper

      - Update DefaultToolCallingChatOptions, ToolCallbackResolvers, ToolCallbackProvider to use Tool calling types

     - Update documentation

Resolves #2528
Signed-off-by: Ilayaperumal Gopinathan <[email protected]>

Author: ilayaperumalg

auto-configurations/models/spring-ai-autoconfigure-model-anthropic/src/test/java/org/springframework/ai/model/anthropic/autoconfigure/tool/FunctionCallWithFunctionBeanIT.java

@@ -66,14 +66,14 @@ void functionCallTest() {
 						"What's the weather like in San Francisco, in Paris, France and in Tokyo, Japan? Return the temperature in Celsius.");
 
 				ChatResponse response = chatModel.call(new Prompt(List.of(userMessage),
-						AnthropicChatOptions.builder().function("weatherFunction").build()));
+						AnthropicChatOptions.builder().toolNames("weatherFunction").build()));
 
 				logger.info("Response: {}", response);
 
 				assertThat(response.getResult().getOutput().getText()).contains("30", "10", "15");
 
 				response = chatModel.call(new Prompt(List.of(userMessage),
-						AnthropicChatOptions.builder().function("weatherFunction3").build()));
+						AnthropicChatOptions.builder().toolNames("weatherFunction3").build()));
 
 				logger.info("Response: {}", response);
 

auto-configurations/models/spring-ai-autoconfigure-model-anthropic/src/test/java/org/springframework/ai/model/anthropic/autoconfigure/tool/FunctionCallWithPromptFunctionIT.java

@@ -58,7 +58,7 @@ void functionCallTest() {
 						"What's the weather like in San Francisco, in Paris and in Tokyo? Return the temperature in Celsius.");
 
 				var promptOptions = AnthropicChatOptions.builder()
-					.functionCallbacks(
+					.toolCallbacks(
 							List.of(FunctionToolCallback.builder("CurrentWeatherService", new MockWeatherService())
 								.description("Get the weather in location. Return temperature in 36°F or 36°C format.")
 								.inputType(MockWeatherService.Request.class)

auto-configurations/models/spring-ai-autoconfigure-model-azure-openai/src/test/java/org/springframework/ai/model/azure/openai/autoconfigure/tool/FunctionCallWithFunctionBeanIT.java

@@ -67,14 +67,14 @@ void functionCallTest() {
 						"What's the weather like in San Francisco, Paris and in Tokyo? Use Multi-turn function calling.");
 
 				ChatResponse response = chatModel.call(new Prompt(List.of(userMessage),
-						AzureOpenAiChatOptions.builder().function("weatherFunction").build()));
+						AzureOpenAiChatOptions.builder().toolNames("weatherFunction").build()));
 
 				logger.info("Response: {}", response);
 
 				assertThat(response.getResult().getOutput().getText()).contains("30", "10", "15");
 
 				response = chatModel.call(new Prompt(List.of(userMessage),
-						AzureOpenAiChatOptions.builder().function("weatherFunction3").build()));
+						AzureOpenAiChatOptions.builder().toolNames("weatherFunction3").build()));
 
 				logger.info("Response: {}", response);
 

auto-configurations/models/spring-ai-autoconfigure-model-azure-openai/src/test/java/org/springframework/ai/model/azure/openai/autoconfigure/tool/FunctionCallWithFunctionWrapperIT.java

@@ -65,7 +65,7 @@ void functionCallTest() {
 						"What's the weather like in San Francisco, Paris and in Tokyo?");
 
 				ChatResponse response = chatModel.call(new Prompt(List.of(userMessage),
-						AzureOpenAiChatOptions.builder().function("WeatherInfo").build()));
+						AzureOpenAiChatOptions.builder().toolNames("WeatherInfo").build()));
 
 				logger.info("Response: {}", response);
 

auto-configurations/models/spring-ai-autoconfigure-model-azure-openai/src/test/java/org/springframework/ai/model/azure/openai/autoconfigure/tool/FunctionCallWithPromptFunctionIT.java

@@ -61,7 +61,7 @@ void functionCallTest() {
 						"What's the weather like in San Francisco, in Paris and in Tokyo? Use Multi-turn function calling.");
 
 				var promptOptions = AzureOpenAiChatOptions.builder()
-					.functionCallbacks(
+					.toolCallbacks(
 							List.of(FunctionToolCallback.builder("CurrentWeatherService", new MockWeatherService())
 								.description("Get the weather in location")
 								.inputType(MockWeatherService.Request.class)

auto-configurations/models/spring-ai-autoconfigure-model-mistral-ai/src/test/java/org/springframework/ai/model/mistralai/autoconfigure/tool/PaymentStatusBeanIT.java

@@ -68,8 +68,8 @@ void functionCallTest() {
 				ChatResponse response = chatModel
 					.call(new Prompt(List.of(new UserMessage("What's the status of my transaction with id T1001?")),
 							MistralAiChatOptions.builder()
-								.function("retrievePaymentStatus")
-								.function("retrievePaymentDate")
+								.toolNames("retrievePaymentStatus")
+								.toolNames("retrievePaymentDate")
 								.build()));
 
 				logger.info("Response: {}", response);

auto-configurations/models/spring-ai-autoconfigure-model-mistral-ai/src/test/java/org/springframework/ai/model/mistralai/autoconfigure/tool/PaymentStatusBeanOpenAiIT.java

@@ -75,8 +75,8 @@ void functionCallTest() {
 				ChatResponse response = chatModel
 					.call(new Prompt(List.of(new UserMessage("What's the status of my transaction with id T1001?")),
 							OpenAiChatOptions.builder()
-								.function("retrievePaymentStatus")
-								.function("retrievePaymentDate")
+								.toolNames("retrievePaymentStatus")
+								.toolNames("retrievePaymentDate")
 								.build()));
 
 				logger.info("Response: {}", response);

auto-configurations/models/spring-ai-autoconfigure-model-mistral-ai/src/test/java/org/springframework/ai/model/mistralai/autoconfigure/tool/PaymentStatusPromptIT.java

@@ -64,7 +64,7 @@ void functionCallTest() {
 				UserMessage userMessage = new UserMessage("What's the status of my transaction with id T1001?");
 
 				var promptOptions = MistralAiChatOptions.builder()
-					.functionCallbacks(List.of(FunctionToolCallback
+					.toolCallbacks(List.of(FunctionToolCallback
 						.builder("retrievePaymentStatus",
 								(Transaction transaction) -> new Status(DATA.get(transaction).status()))
 						.description("Get payment status of a transaction")

auto-configurations/models/spring-ai-autoconfigure-model-mistral-ai/src/test/java/org/springframework/ai/model/mistralai/autoconfigure/tool/WeatherServicePromptIT.java

@@ -73,11 +73,10 @@ void promptFunctionCall() {
 
 				var promptOptions = MistralAiChatOptions.builder()
 					.toolChoice(ToolChoice.AUTO)
-					.functionCallbacks(
-							List.of(FunctionToolCallback.builder("CurrentWeatherService", new MyWeatherService())
-								.description("Get the current weather in requested location")
-								.inputType(MyWeatherService.Request.class)
-								.build()))
+					.toolCallbacks(List.of(FunctionToolCallback.builder("CurrentWeatherService", new MyWeatherService())
+						.description("Get the current weather in requested location")
+						.inputType(MyWeatherService.Request.class)
+						.build()))
 					.build();
 
 				ChatResponse response = chatModel.call(new Prompt(List.of(userMessage), promptOptions));

auto-configurations/models/spring-ai-autoconfigure-model-ollama/src/test/java/org/springframework/ai/model/ollama/autoconfigure/tool/FunctionCallbackInPromptIT.java

@@ -70,8 +70,7 @@ void functionCallTest() {
 					"What are the weather conditions in San Francisco, Tokyo, and Paris? Find the temperature in Celsius for each of the three locations.");
 
 			var promptOptions = OllamaOptions.builder()
-				.functionCallbacks(List.of(FunctionToolCallback
-					.builder("CurrentWeatherService", new MockWeatherService())
+				.toolCallbacks(List.of(FunctionToolCallback.builder("CurrentWeatherService", new MockWeatherService())
 					.description(
 							"Find the weather conditions, forecasts, and temperatures for a location, like a city or state.")
 					.inputType(MockWeatherService.Request.class)
@@ -96,8 +95,7 @@ void streamingFunctionCallTest() {
 					"What are the weather conditions in San Francisco, Tokyo, and Paris? Find the temperature in Celsius for each of the three locations.");
 
 			var promptOptions = OllamaOptions.builder()
-				.functionCallbacks(List.of(FunctionToolCallback
-					.builder("CurrentWeatherService", new MockWeatherService())
+				.toolCallbacks(List.of(FunctionToolCallback.builder("CurrentWeatherService", new MockWeatherService())
 					.description(
 							"Find the weather conditions, forecasts, and temperatures for a location, like a city or state.")
 					.inputType(MockWeatherService.Request.class)