Comparing Tool Calling in LLM Models

Tool calling has emerged as a valuable feature in large language model (LLM) applications, enabling models to perform tasks beyond their intrinsic capabilities, such as converting natural language to SQL queries or retrieving real-time data like weather or customer attributes. This functionality has proven so effective that it is sometimes used to enforce structured outputs from LLMs without actually executing the tool call. Different LLM providers like OpenAI GPT, Anthropic Claude, Meta Llama, and others offer tool calling, but with variations in JSON schema definitions and model-specific features. PromptLayer, a platform based in NYC, aims to streamline the prompt engineering process, providing a model-agnostic environment that simplifies the use of different LLMs and their specific features, allowing engineers to create AI applications efficiently.