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Building AI agents that interact with external tools is often complicated by the differing syntaxes used by major providers like OpenAI, Anthropic, and Google. Unified Tool Calling provides a standardized abstraction layer that allows developers to define tools once and execute them across any supported model seamlessly. It manages the complexities of tool definition, selection control, and multi-turn execution patterns, ensuring consistent behavior regardless of the underlying LLM. Whether you are handling parallel tool calls or streaming responses, this skill provides the implementation patterns needed to build robust, function-capable AI applications.
