What are AI function calls? tool use explained

AI function calls enable large language models (LLMs) to perform actions beyond text generation by allowing them to call APIs, query databases, trigger actions, and interact with external systems, thus transforming them into active workflow participants. This process involves defining available functions with specific names, parameters, and descriptions, which the model considers when deciding whether to execute a function based on user intent, resulting in a structured function call that is executed by the application. This approach enhances automation by providing a reliable structure, enabling selective invocation, and supporting multi-step reasoning, which was previously hindered by the limitations of prompt engineering. CodeWords, for example, uses function calling to create workflows involving web scraping, data analysis, and communication through platforms like Slack, leveraging native access to services like OpenAI, Anthropic, and Google Gemini. However, common pitfalls include over-specifying tools, inadequate error handling, and overlooking the costs associated with each function call.

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