BFCL

BFCL (Berkeley Function Calling Leaderboard) is a comprehensive benchmark evaluating Large Language Models' ability to accurately call functions and use tools. It assesses both single-turn and multi-turn interactions, measuring hallucination rates and format sensitivity in function calling scenarios. The benchmark uses real-world data to test tool usage capabilities, providing critical evaluation for AI systems designed to interact with external APIs and tools.