Fireworks has launched an Alpha version of its function calling model and API, designed to enhance the capabilities of large language models (LLMs) by enabling them to call external APIs for real-time data access and dynamic decision-making. This advancement addresses the limitations of LLMs in situations requiring up-to-date information or complex decision processes, such as using APIs to fetch real-time weather data or facilitate e-commerce transactions. The Fireworks model, based on a fine-tuned CodeLlama-34B, demonstrates strong performance in multi-turn conversational contexts and outperforms models relying on prompt engineering by accurately detecting intent and structuring function calls. Evaluation against datasets not used in training shows that Fireworks' model closely rivals GPT-4 in function-calling tasks, excelling particularly in multi-turn scenarios. The company is open to community feedback and aims to further enhance its models by incorporating new open-source models and improving function calling across various contexts.