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When using LLMs with external tools, the tool_choice parameter determines if and how tools are called. Options include "none" (disable tools), "auto" (model decides), "required" (at least one tool must be used), and forcing a specific tool. Each has distinct behaviors and suits different use cases—from flexible chatbots to compliance-critical systems. Proper use requires clear system instructions and well-defined tool descriptions. Additionally, enabling parallel_tool_calls allows multiple tools to be invoked in one step. Choosing the right configuration ensures accurate, efficient, and context-aware tool use, making it essential for building reliable AI-driven workflows and assistants.