Calling

Function calling tools: 24 benchmarks explained

BenchLM.ai evaluates function calling across 24 agentic benchmarks to measure precision in tool invocation and terminal task execution for AI agents.

Jul 18, 2026 Priya Nair 9 min read

Function calling turns LLMs into real agents

Learn how function calling converts vague intent into structured JSON requests, enabling agents to fetch external data instead of guessing.

Jul 14, 2026 Marcus Chen 16 min read

Function calling explained: JSON plans, not code execution

Learn how function calling uses structured JSON to anchor AI to real data, eliminating hallucinations through a strict four-step execution cycle.

Jul 13, 2026 Priya Nair 14 min read

Function calling: turning static AI into action

Learn how function calling converts natural language into structured JSON for 3 specific use cases: actions, knowledge, and capabilities.

Jul 6, 2026 Priya Nair 16 min read

React agents vs function calling: 2026 guide

Compare ReAct's iterative reasoning loops against structured function calling for external API access in 2026 agent architectures.

Jul 5, 2026 Marcus Chen 15 min read

Function calling overhead: real token counts

Function calling adds 346 tokens per call, inflating costs for high-volume agents. Learn how OpenAPI schemas and Gemini 3.5 Pro manage this overhead.

Jul 3, 2026 Priya Nair 14 min read