openplugins 0.1.9

An open-source project aimed at building an open and diversified ecosystem for chatbot plugins.

Open-ChatGPT-Plugins 😎

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Open-ChatGPT-Plugins is an open-source project🌟 aimed at building an open and diverse ecosystem of chatbot plugins. This project enables developers to easily add new functionalities and interactive experiences to the ChatGPT model✨.

Background 📚

At the Developer Conference, OpenAI introduced GPT-4 Turbo, proposing the concept of "Assistants". This was seen by developers as a plugin marketplace for the general public version (non-plugin developers). With the increased context length of GPT-4 Turbo and its high comprehension ability, we can replicate the capabilities of ChatGPT-Plugins, thus building an open-source local version of ChatGPT-Plugins.

Features 💡

1. Unlike other tool projects, this project is fully compatible with the ChatGPT-Plugins API service. This means that if you have previously written an API for ChatGPT-Plugins, you can directly interface with the previous API service using this project, without the need for redevelopment🚀.
2. Experience Plugins services without purchasing ChatGPT Plus🎉.

Installation 🔧

To install the necessary packages for this plugin, run the following command:

pip install openplugins

Usage 🖥️

• First method: Upload the API's YAML file

import openplugins
assistant = openplugins.Assistants(yaml_file_path='../openai.yaml', tools_model='gpt-4-1106-preview', openai_api_key='sk-xxxx')
print(assistant.run('Please check the historical stock data of Guizhou Maotai for yesterday'))
print(assistant.id)

• Second method: Use via Assistant ID

import openplugins
assistant = openplugins.Assistants(assistant_id='eafa9807-7cff-4afb-b069-ce3437c076fb', tools_model='gpt-4-1106-preview', openai_api_key='sk-xxxx')
print(assistant.run('Please check the historical stock data of Guizhou Maotai for yesterday'))

• Third method: Update the YAML file

import openplugins
assistant = openplugins.Assistants(yaml_file_path='openai.yaml', assistant_id='eafa9807-7cff-4afb-b069-ce3437c076fb', tools_model='gpt-4-1106-preview', openai_api_key='sk-xxxx')
print(assistant.run('Please check the historical stock data of Guizhou Maotai for yesterday'))

Note: The API service must be run first. For the API service, refer to the StockMarketAssistant project🔗.Or check out the official openai projectplugins-quickstart return is a dict

import openplugins
assistant = openplugins.Assistants(yaml_file_path='openai.yaml', tools_model='gpt-4-1106-preview', openai_api_key='sk-xxxxxxxx')
print(assistant.run('result of 1+1'))

{'plan': [{'tool': '', 'plan': 'Reply with the result of "1+1", which is "2".'}], 'response': '2'}

View currently available assistants

import openplugins
data = openplugins.DataInfo()
print(data.get_all_assistants_info())

Delete currently available assistants

import openplugins
data = openplugins.DataInfo()
data.delete_assistant(assistant_id = 'cf1f114a-019c-4e36-a8d4-681f5027ef8c')

Principle 🤖

This project replicates ChatGPT-Plugins and requires a YAML file to describe the interface, with one YAML corresponding to the initialization of an Assistant. The main process includes:

• Reading the YAML file and creating an Assistant based on the file description.
• Starting a thread.
• First, recommend tools.
• Formulate a plan based on the recommendation list.
• Call the services step by step according to the plan.
• Generate the final result by combining the results of each step.

TODO List:

• Check if the YAML file meets requirements (To be completed)📝.
• Integrate Streamlit UI (To be completed)🖌️.

📝 License

MIT License Disclaimer: We share this code for academic purposes under the MIT educational license.