BMTools

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BMTools is an Open Source AI Agents & Automation tool that extends language models using tools and serves as a platform for building and sharing tools. It allows users to easily build plugins by writing Python functions and use external ChatGPT-Plugins.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is BMTools?

BMTools is an open-source repository designed for tool learning in large language models, providing a platform for the community to build and share tools. Users can easily create plugins by writing Python functions and integrate external ChatGPT-Plugins. The project is inspired by LangChain and optimized for open-sourced tools, aiming to be an academic version of ChatGPT-Plugins. It supports using single or multiple tools, developing customized tools locally, and contributing them to the BMTools repository. The platform also offers guidance on optimizing tool prompts for better AI model understanding.

Best used for

Ideal for developers and data scientists who need to extend the capabilities of large language models, integrate various AI tools, and build custom plugins. Especially valuable for those looking to create open-source academic versions of ChatGPT-Plugins and contribute to a community-driven tool ecosystem.

Common actions

extend language models

build AI plugins

integrate AI tools

develop custom agents

optimize AI prompts

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Capabilities

Key features

Plugin development with Python
Integrate ChatGPT-Plugins
Single tool usage
Multiple tool usage
Local tool development
Tool prompt optimization
Tool learning benchmark

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of tools can be integrated or developed with BMTools?

BMTools supports the integration of external ChatGPT-Plugins and allows users to develop custom tools using Python functions. Examples include tools for chemical property analysis, Wolfram Alpha, Baidu Map, Google Scholar Search, and Zillow, demonstrating its versatility for various domains.

How does BMTools facilitate the development of custom tools?

Users can develop custom tools locally by writing Python functions and registering them within the BMTools framework. The platform provides clear guidelines for structuring tool files and optimizing prompts to ensure AI models can effectively understand and utilize the custom-built functionalities.

Is BMTools suitable for both single and multiple tool interactions?

Yes, BMTools is designed to handle both single and multiple tool interactions. For multiple tools, the language model recursively processes queries, treating each tool as an API and calling sub-APIs as needed to solve complex questions, offering a robust multi-tool orchestration capability.

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