docs: Deprecate and replace function-related options in chat models (spring-projects#4541)

- Deleted `functions`, `functionCallbacks`, and `proxy-tool-calls` options in docs
- Introduce `toolNames`, `toolCallbacks`, and `internal-tool-execution-enabled` as replacements
- Update documentation for chat models

Signed-off-by: YunKui Lu <[email protected]>
Signed-off-by: 家娃 <[email protected]>

Author: YunKuiLu

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/anthropic-chat.adoc

@@ -155,12 +155,9 @@ The prefix `spring.ai.anthropic.chat` is the property prefix that lets you confi
 | spring.ai.anthropic.chat.options.stop-sequence | Custom text sequences that will cause the model to stop generating. Our models will normally stop when they have naturally completed their turn, which will result in a response stop_reason of "end_turn". If you want the model to stop generating when it encounters custom strings of text, you can use the stop_sequences parameter. If the model encounters one of the custom sequences, the response stop_reason value will be "stop_sequence" and the response stop_sequence value will contain the matched stop sequence. | -
 | spring.ai.anthropic.chat.options.top-p | Use nucleus sampling. In nucleus sampling, we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by top_p. You should either alter temperature or top_p, but not both. Recommended for advanced use cases only. You usually only need to use temperature. | -
 | spring.ai.anthropic.chat.options.top-k | Only sample from the top K options for each subsequent token. Used to remove "long tail" low probability responses. Learn more technical details here. Recommended for advanced use cases only. You usually only need to use temperature. | -
-| spring.ai.anthropic.chat.options.toolNames | List of tools, identified by their names, to enable for tool calling in a single prompt requests. Tools with those names must exist in the toolCallbacks registry. | -
-| spring.ai.anthropic.chat.options.toolCallbacks | Tool Callbacks to register with the ChatModel. | -
+| spring.ai.anthropic.chat.options.tool-names | List of tools, identified by their names, to enable for tool calling in a single prompt requests. Tools with those names must exist in the toolCallbacks registry. | -
+| spring.ai.anthropic.chat.options.tool-callbacks | Tool Callbacks to register with the ChatModel. | -
 | spring.ai.anthropic.chat.options.internal-tool-execution-enabled | If false, the Spring AI will not handle the tool calls internally, but will proxy them to the client. Then it is the client's responsibility to handle the tool calls, dispatch them to the appropriate function, and return the results. If true (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | true
-| (**deprecated** - replaced by `toolNames`) spring.ai.anthropic.chat.options.functions | List of functions, identified by their names, to enable for function calling in a single prompt requests. Functions with those names must exist in the functionCallbacks registry. | -
-| (**deprecated** - replaced by `toolCallbacks`) spring.ai.anthropic.chat.options.functionCallbacks | Tool Function Callbacks to register with the ChatModel. | -
-| (**deprecated** - replaced by a negated `internal-tool-execution-enabled`) spring.ai.anthropic.chat.options.proxy-tool-calls | If true, the Spring AI will not handle the function calls internally, but will proxy them to the client. Then is the client's responsibility to handle the function calls, dispatch them to the appropriate function, and return the results. If false (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | false
 | spring.ai.anthropic.chat.options.http-headers | Optional HTTP headers to be added to the chat completion request. | -
 |====
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/azure-openai-chat.adoc

@@ -242,7 +242,9 @@ The `JSON_OBJECT` type enables JSON mode, which guarantees the message the model
 The `JSON_SCHEMA` type enables Structured Outputs which guarantees the model will match your supplied JSON schema. The `JSON_SCHEMA` type requires setting the `responseFormat.schema` property as well. | -
 | spring.ai.azure.openai.chat.options.responseFormat.schema | Response format JSON schema. Applicable only for `responseFormat.type=JSON_SCHEMA` | -
 | spring.ai.azure.openai.chat.options.frequencyPenalty | A value that influences the probability of generated tokens appearing based on their cumulative frequency in generated text. Positive values will make tokens less likely to appear as their frequency increases and decrease the likelihood of the model repeating the same statements verbatim. | -
-| spring.ai.azure.openai.chat.options.proxy-tool-calls | If true, the Spring AI will not handle the function calls internally, but will proxy them to the client. Then is the client's responsibility to handle the function calls, dispatch them to the appropriate function, and return the results. If false (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | false
+| spring.ai.azure.openai.chat.options.tool-names | List of tools, identified by their names, to enable for function calling in a single prompt request. Tools with those names must exist in the ToolCallback registry. | -
+| spring.ai.azure.openai.chat.options.tool-callbacks | Tool Callbacks to register with the ChatModel. | -
+| spring.ai.azure.openai.chat.options.internal-tool-execution-enabled | If false, the Spring AI will not handle the tool calls internally, but will proxy them to the client. Then it is the client's responsibility to handle the tool calls, dispatch them to the appropriate function, and return the results. If true (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | true
 |====
 
 TIP: All properties prefixed with `spring.ai.azure.openai.chat.options` can be overridden at runtime by adding a request specific <<chat-options>> to the `Prompt` call.

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/deepseek-chat.adoc

@@ -128,6 +128,9 @@ The prefix `spring.ai.deepseek.chat` is the property prefix that lets you config
 | spring.ai.deepseek.chat.options.topP | 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. We generally recommend altering this or temperature, but not both. | 1.0F
 | spring.ai.deepseek.chat.options.logprobs | Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of the message. | -
 | spring.ai.deepseek.chat.options.topLogprobs | An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. logprobs must be set to true if this parameter is used. | -
+| spring.ai.deepseek.chat.options.tool-names | List of tools, identified by their names, to enable for function calling in a single prompt request. Tools with those names must exist in the ToolCallback registry. | -
+| spring.ai.deepseek.chat.options.tool-callbacks | Tool Callbacks to register with the ChatModel. | -
+| spring.ai.deepseek.chat.options.internal-tool-execution-enabled | If false, the Spring AI will not handle the tool calls internally, but will proxy them to the client. Then it is the client's responsibility to handle the tool calls, dispatch them to the appropriate function, and return the results. If true (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | true
 |====
 
 NOTE: You can override the common `spring.ai.deepseek.base-url` and `spring.ai.deepseek.api-key` for the `ChatModel` implementations.

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/dmr-chat.adoc

@@ -135,9 +135,10 @@ The prefix `spring.ai.openai.chat` is the property prefix that lets you configur
 | spring.ai.openai.chat.options.tools | A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. | -
 | spring.ai.openai.chat.options.toolChoice | Controls which (if any) function is called by the model. none means the model will not call a function and instead generates a message. auto means the model can pick between generating a message or calling a function. Specifying a particular function via {"type: "function", "function": {"name": "my_function"}} forces the model to call that function. none is the default when no functions are present. auto is the default if functions are present. | -
 | spring.ai.openai.chat.options.user | A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. | -
-| spring.ai.openai.chat.options.functions | List of functions, identified by their names, to enable for function calling in a single prompt requests. Functions with those names must exist in the functionCallbacks registry. | -
 | spring.ai.openai.chat.options.stream-usage | (For streaming only) Set to add an additional chunk with token usage statistics for the entire request. The `choices` field for this chunk is an empty array and all other chunks will also include a usage field, but with a null value. | false
-| spring.ai.openai.chat.options.proxy-tool-calls | If true, the Spring AI will not handle the function calls internally, but will proxy them to the client. Then is the client's responsibility to handle the function calls, dispatch them to the appropriate function, and return the results. If false (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | false
+| spring.ai.openai.chat.options.tool-names | List of tools, identified by their names, to enable for function calling in a single prompt request. Tools with those names must exist in the ToolCallback registry. | -
+| spring.ai.openai.chat.options.tool-callbacks | Tool Callbacks to register with the ChatModel. | -
+| spring.ai.openai.chat.options.internal-tool-execution-enabled | If false, the Spring AI will not handle the tool calls internally, but will proxy them to the client. Then it is the client's responsibility to handle the tool calls, dispatch them to the appropriate function, and return the results. If true (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | true
 |====
 
 TIP: All properties prefixed with `spring.ai.openai.chat.options` can be overridden at runtime by adding a request specific <<chat-options>> to the `Prompt` call.

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/google-genai-chat.adoc

@@ -117,6 +117,7 @@ The prefix `spring.ai.google.genai.chat` is the property prefix that lets you co
 | spring.ai.google.genai.chat.options.presence-penalty | Presence penalties for reducing repetition. | -
 | spring.ai.google.genai.chat.options.thinking-budget | Thinking budget for the thinking process. | -
 | spring.ai.google.genai.chat.options.tool-names | List of tools, identified by their names, to enable for function calling in a single prompt request. Tools with those names must exist in the ToolCallback registry. | -
+| spring.ai.google.genai.chat.options.tool-callbacks | Tool Callbacks to register with the ChatModel. | -
 | spring.ai.google.genai.chat.options.internal-tool-execution-enabled | If true, the tool execution should be performed, otherwise the response from the model is returned back to the user. Default is null, but if it's null, `ToolCallingChatOptions.DEFAULT_TOOL_EXECUTION_ENABLED` which is true will take into account | -
 | spring.ai.google.genai.chat.options.safety-settings | List of safety settings to control safety filters, as defined by https://ai.google.dev/gemini-api/docs/safety-settings[Google GenAI Safety Settings]. Each safety setting can have a method, threshold, and category. | -
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/groq-chat.adoc

@@ -180,9 +180,10 @@ The prefix `spring.ai.openai.chat` is the property prefix that lets you configur
 | spring.ai.openai.chat.options.tools | A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. | -
 | spring.ai.openai.chat.options.toolChoice | Controls which (if any) function is called by the model. none means the model will not call a function and instead generates a message. auto means the model can pick between generating a message or calling a function. Specifying a particular function via {"type: "function", "function": {"name": "my_function"}} forces the model to call that function. none is the default when no functions are present. auto is the default if functions are present. | -
 | spring.ai.openai.chat.options.user | A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. | -
-| spring.ai.openai.chat.options.functions | List of functions, identified by their names, to enable for function calling in a single prompt requests. Functions with those names must exist in the functionCallbacks registry. | -
 | spring.ai.openai.chat.options.stream-usage | (For streaming only) Set to add an additional chunk with token usage statistics for the entire request. The `choices` field for this chunk is an empty array and all other chunks will also include a usage field, but with a null value. | false
-| spring.ai.openai.chat.options.proxy-tool-calls | If true, the Spring AI will not handle the function calls internally, but will proxy them to the client. Then is the client's responsibility to handle the function calls, dispatch them to the appropriate function, and return the results. If false (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | false
+| spring.ai.openai.chat.options.tool-names | List of tools, identified by their names, to enable for function calling in a single prompt request. Tools with those names must exist in the ToolCallback registry. | -
+| spring.ai.openai.chat.options.tool-callbacks | Tool Callbacks to register with the ChatModel. | -
+| spring.ai.openai.chat.options.internal-tool-execution-enabled | If false, the Spring AI will not handle the tool calls internally, but will proxy them to the client. Then it is the client's responsibility to handle the tool calls, dispatch them to the appropriate function, and return the results. If true (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | true
 |====
 
 TIP: All properties prefixed with `spring.ai.openai.chat.options` can be overridden at runtime by adding a request specific <<chat-options>> to the `Prompt` call.

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/minimax-chat.adoc

@@ -144,6 +144,9 @@ The prefix `spring.ai.minimax.chat` is the property prefix that lets you configu
 | spring.ai.minimax.chat.options.presencePenalty | 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. |  0.0f
 | spring.ai.minimax.chat.options.frequencyPenalty | 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. | 0.0f
 | spring.ai.minimax.chat.options.stop | The model will stop generating characters specified by stop, and currently only supports a single stop word in the format of ["stop_word1"] | -
+| spring.ai.minimax.chat.options.tool-names | List of tools, identified by their names, to enable for function calling in a single prompt request. Tools with those names must exist in the ToolCallback registry. | -
+| spring.ai.minimax.chat.options.tool-callbacks | Tool Callbacks to register with the ChatModel. | -
+| spring.ai.minimax.chat.options.internal-tool-execution-enabled | If false, the Spring AI will not handle the tool calls internally, but will proxy them to the client. Then it is the client's responsibility to handle the tool calls, dispatch them to the appropriate function, and return the results. If true (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | true
 |====
 
 NOTE: You can override the common `spring.ai.minimax.base-url` and `spring.ai.minimax.api-key` for the `ChatModel` implementations.

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/mistralai-chat.adoc

@@ -146,9 +146,9 @@ The prefix `spring.ai.mistralai.chat` is the property prefix that lets you confi
 | spring.ai.mistralai.chat.options.responseFormat | An object specifying the format that the model must output. Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON.| -
 | spring.ai.mistralai.chat.options.tools | A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. | -
 | spring.ai.mistralai.chat.options.toolChoice | Controls which (if any) function is called by the model. `none` means the model will not call a function and instead generates a message. `auto` means the model can pick between generating a message or calling a function. Specifying a particular function via `{"type: "function", "function": {"name": "my_function"}}` forces the model to call that function. `none` is the default when no functions are present. `auto` is the default if functions are present. | -
-| spring.ai.mistralai.chat.options.functions | List of functions, identified by their names, to enable for function calling in a single prompt requests. Functions with those names must exist in the functionCallbacks registry. | -
-| spring.ai.mistralai.chat.options.functionCallbacks | Mistral AI Tool Function Callbacks to register with the ChatModel. | -
-| spring.ai.mistralai.chat.options.proxy-tool-calls | If true, the Spring AI will not handle the function calls internally, but will proxy them to the client. Then is the client's responsibility to handle the function calls, dispatch them to the appropriate function, and return the results. If false (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | false
+| spring.ai.mistralai.chat.options.tool-names | List of tools, identified by their names, to enable for function calling in a single prompt request. Tools with those names must exist in the ToolCallback registry. | -
+| spring.ai.mistralai.chat.options.tool-callbacks | Tool Callbacks to register with the ChatModel. | -
+| spring.ai.mistralai.chat.options.internal-tool-execution-enabled | If false, the Spring AI will not handle the tool calls internally, but will proxy them to the client. Then it is the client's responsibility to handle the tool calls, dispatch them to the appropriate function, and return the results. If true (the default), the Spring AI will handle the function calls internally. Applicable only for chat models with function calling support | true
 |====
 
 NOTE: You can override the common `spring.ai.mistralai.base-url` and `spring.ai.mistralai.api-key` for the `ChatModel` and `EmbeddingModel` implementations.