tool-calling

Tool Retrieval and Dynamic Function Selection in Production AI Agents: Architecture, Semantic Indexing, and Serving Trade-Offs

Tool Retrieval and Dynamic Function Selection in Production AI Agents: Architecture, Semantic Indexing, and Serving Trade-Offs The default approach to LLM tool calling—stuffing every function schema into the prompt—works for demos with a dozen tools. It fails in production where agents face hundreds or thousands of available functions. Context windows saturate, selection accuracy degrades, and latency grows linearly with registry size. This post surveys the architectural progression from stati