ToolBench constructs large-scale instruction-tuning datasets to enable open-source LLMs to master diverse real-world API calls. The project provides training scripts, evaluation benchmarks (Tool Eval), and a fine-tuned model (ToolLLaMA) capable of multi-step tool reasoning across 16,000+ APIs. Data is generated automatically using ChatGPT with enhanced function-calling capabilities.