LLMCompiler
★ 1.9k·MIT·Updated 2024-07-10
LLMCompiler is a framework that orchestrates efficient and effective parallel function calls for large language models, both open and closed source. It achieves this by automatically identifying parallelizable and interdependent tasks, leading to significant improvements in latency, cost, and accuracy compared to sequential methods.
#LLM Orchestration#Function Calling#Parallel Computing#Performance Optimization#Python#Coding
01
Features
01Efficient and effective orchestration of parallel function calling
02Automatically identifies parallelizable and interdependent tasks
03Achieves significant latency speedup
04Provides cost savings in LLM operations
05Improves accuracy compared to sequential methods
02
Compatibility
OpenAI GPT
OpenAI API
Verified via docs
LLaMA
Open-source
Verified via docs
LangChain LangGraph
Integrated
Verified via docs
LlamaIndex
Available on
Verified via docs
vLLM
Custom Models
Verified via docs
Azure OpenAI
Azure Endpoint
Verified via docs
03
Quick start
1
$ pip install -r requirements.txt
04
Use cases
↳Solving complex problems requiring multiple interdependent function calls
↳Executing multi-hop information retrieval and question answering tasks
↳Developing efficient AI agents that leverage parallel tool use
05
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