LLMCompiler
LLMCompiler is a framework designed to enable efficient and effective orchestration of parallel function calling with Large Language Models, including both open-source and closed-source variants like LLaMA and GPT. It addresses the high latency, cost, and inaccuracies associated with sequential reasoning by automatically decomposing complex problems into multiple tasks that can be executed simultaneously while respecting interdependencies. Users define available tools and optional in-context examples, and LLMCompiler computes an optimized workflow for function execution. This approach significantly improves performance by identifying which tasks can run in parallel. The software integrates with popular ecosystems such as LangChain, LlamaIndex, and Friendli endpoints, and supports running custom models via the vLLM framework. It is engineered to deliver measurable speedups in latency, reductions in operational cost, and improvements in accuracy across diverse benchmarks including HotpotQA, movie recommendation