crazyyanchao/llmcompiler
LLMCompiler is an Agent Architecture designed to speed up the execution of agent tasks by executing them quickly in the DAG. It also saves the cost of redundant token use by reducing the number of calls to the LLM.
This tool helps AI engineers build intelligent agents that can handle complex, multi-step tasks efficiently. It takes a user's natural language request and a set of available tools, then generates an optimized plan to execute those tasks. The output is a completed task, quickly and cost-effectively, ideal for those working with large language models to automate workflows.
Available on PyPI.
Use this if you are building an AI agent that needs to perform many different actions or use numerous tools to fulfill a user's request, and you want to reduce execution time and computational costs.
Not ideal if your agent's tasks are very simple, involve only one or two tool calls, or if you are not concerned with optimizing execution speed or token usage.
Stars
55
Forks
10
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 06, 2025
Commits (30d)
0
Dependencies
5
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