Improve MistralAiApi Jackson mapping for message content#5585
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- Define different type of chunk instead of media content - Verify that new chunks allow reasoning models support - Introduce reasoning_effort request parameter for reasoning models - Remove unnecessary null checks in MistralAiChatModel - Improve existing Javadoc - Polish integration tests and unit tests Signed-off-by: Nicolas Krier <7557886+nicolaskrier@users.noreply.github.com>
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Description
reasoning_effortrequest parameter for reasoning models,MistralAiChatModel,Explanations
This PR aligns the Jackson mapping with the content types defined in the Mistral AI OpenAPI Specifications. The changes ensure null safety matches the OpenAPI Specifications requirements and introduce support for new content types used by Magistral 1.2 models. New reasoning on demand feature for Mistral Small 4 and Mistral Medium 3.5 models is also added in order to cover all Mistral reasoning models.
Proposed milestone
2.0.0-M6
Related work
spring-ai-mistral-ainull-safe #5354,ThinkingAssistantMessageclass reusable for each AI vendor #5698.Remaining tasks
MistralAiApi.ChatCompletionMessageunit tests demonstratingcontentattribute serialization and deserialization,MistralAiApi.ChatCompletionMessage.ContentSerializerunit tests,MistralAiApi.ChatCompletionMessage.ContentDeserializerunit tests,MistralAiApi.ChatCompletionMessage.extractContentunit tests,MistralAiApi.ChatCompletionMessage.extractThinkingContentunit tests,MistralAiApireasoning_effortparameter support for Mistral Small 4 and Mistral Medium 3.5,MistralAiChatOptionsreasoning_effortparameter support,MistralAiApiintegration tests demonstrating Mistral Small 4 and Mistral Medium 3.5 reasoning on demand feature,MistralAiApiintegration test includingMistralAiApi.ChatCompletionMessage.ImageUrlChunk,MistralAiApiintegration test includingMistralAiApi.ChatCompletionMessage.ReferenceChunk.