Function Calling Patterns Across LLM Providers
Compare function calling implementations across OpenAI, Anthropic, and Google, with patterns for routing, chaining, and error handling.
5 posts · page 1 of 1
Compare function calling implementations across OpenAI, Anthropic, and Google, with patterns for routing, chaining, and error handling.
How to implement function calling and tool use with LLMs. Covers tool definitions, the execution loop, multi-turn conversations, error handling, and parallel tool calls.
How to design tool schemas that LLMs actually call correctly, with naming, description, and parameter patterns that survive real users and adversarial inputs.
Understand how tool calling lets LLMs invoke functions, why agents loop over tools, and how to design reliable tool schemas.
How to write prompts and tool definitions that make function calling reliable. Covers schemas, descriptions, examples, error handling, and patterns for multi-tool agents.