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DeepSeek V4 models return reasoning_content alongside content when in thinking mode. The API requires this field to be passed back in subsequent requests. Previously, LLM.call() discarded reasoning_content and only returned the content string, causing a 400 error on follow-up calls. Changes: - LLM.call(): Extract and store reasoning_content from the response message - CrewAgentExecutor._format_msg(): Accept optional reasoning_content parameter - CrewAgentExecutor._invoke_loop(): Include reasoning_content in assistant messages added to the conversation history Tests added for: - LLM storing reasoning_content from responses - LLM returning None when reasoning_content is absent - LLM resetting reasoning_content between calls - Executor _format_msg including/excluding reasoning_content appropriately - End-to-end invoke loop preserving reasoning_content in message history Co-Authored-By: João <joao@crewai.com>