Large language models (LLMs), while adept at generating human-like text, face limitations in accessing real-time data or executing actions, which can be addressed through function calling. This process allows LLMs to invoke external functions or APIs, effectively enhancing their capabilities beyond static responses by enabling real-world interactions. The Fireworks AI API now supports function calling with the DeepSeek V3 model, transforming LLMs into dynamic, interactive agents capable of tasks such as real-time data retrieval, task automation, and workflow integration. Function calling works by detecting user queries that require external data, generating a structured output to specify the function call, and integrating the returned results into the LLM's response. This feature, while promising, has limitations, such as challenges with multi-turn interactions and is currently available only on the Serverless offering.