by AgnostiqHQ · Agent Tool · ★ 128
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LLM based Multi-Agent methods Welcome to the LLM based Multi-Agent repository! This repository provides a lean implementation of cutting-edge techniques and methods for leveraging multi-agent architectures with Large Language Models (LLMs) for various tasks. This includes methods developed by Agnostiq Inc. as well as other state-of-the-art methods. The repository is designed to be modular and easy to use, allowing for quick experimentation and please use it with caution for production purposes. Installation Quick example python import os; os.environ['OPENAIAPIKEY'] = "youropenaiapikey" from multiagentllm import OpenAILLM, AGOT from pydantic import BaseModel, Field llm = OpenAILLM(modelname="gpt-4o-mini", temperature=0.3) Currently we only have wrapper for OpenAI, but it can be easily extended to other LLMs Define the answer schema class QueryAnswer(BaseModel): explanation: str = Field(description="Explanation of the answer.") answer: str = Field(description="Final multiple-choice answer.") answerlabel: str = Field(description="Label of the answer.
| Stars | 128 |
| Forks | 18 |
| Language | Python |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 64.2768608802975/100 |
| Open Issues | 1 |
| Last Updated | 2025-02-10 |
| Created | 2024-09-18 |
| Platforms | python |
| Est. Tokens | ~1995k |
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multi-agent-llm is Lean implementation of various multi-agent LLM methods, including Iteration of Thought (IoT). It is categorized as a Agent Tool with 128 GitHub stars.
multi-agent-llm is primarily written in Python. It covers topics such as agent, ai, cot.
You can find installation instructions and usage details in the multi-agent-llm GitHub repository at github.com/AgnostiqHQ/multi-agent-llm. The project has 128 stars and 18 forks, indicating an active community.
multi-agent-llm is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
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