Unlock the Power of OpenCopilot with ChatGPT

Table of Contents

1. Introduction
2. What is an AI COPILOT?
3. Open CoPilot: An Overview
4. Installing Open CoPilot
5. Features and Capabilities of Open CoPilot
   • Making API Calls
   • Transforming Responses into Text
   • Populating Request Payload Fields
   • Requesting Actions
6. Limitations of Open CoPilot
7. Roadmap for Open CoPilot
8. Using Open CoPilot: A Demo
9. Accessing Open CoPilot
   • Cloud Platform Method
   • Local Installation Method
10. Conclusion

Introduction

In recent months, there have been significant advancements in Generative AI tech. Big companies like GitHub, OpenAI, Shopify, Microsoft, and many others have been focusing on releasing their own AI copilots. An AI copilot is a tool that pairs with You to help Create apps, documents, and write code. It can save you time and resources by completing many of the menial tasks you may have. In this article, we will explore Open CoPilot, an innovative AI Tool developed by Open Chat AI. It serves as a personalized AI copilot for various tasks, integrating with your own APIs and making API calls when needed.

What is an AI Copilot?

An AI copilot is a tool that assists in various tasks such as creating apps, documents, and writing code. It utilizes advanced language models to determine if an API call is necessary and selects the appropriate API endpoint. By integrating with your own APIs, an AI copilot can streamline tasks and assist you in utilizing API calls effectively. Open CoPilot is one such AI copilot that aims to provide a personalized experience for your specific needs.

Open CoPilot: An Overview

Open CoPilot, developed by Open Chat AI, is an innovative AI tool designed to serve as a personalized AI copilot. It integrates with your own APIs and makes API calls as needed Based on the Context it understands from your input prompt. The tool uses advanced languages to determine if an API call is necessary and selects the appropriate API endpoint, sending the Relevant data needed for the input. Open CoPilot aims to streamline tasks and assist you in utilizing API calls effectively.

Installing Open CoPilot

To install Open CoPilot, you will need a few prerequisites. Firstly, you will need Git to clone the repository onto your desktop. Secondly, you will need Docker, which is used to containerize the application. Additionally, you will need an OpenAI API Key and Python installed on your system. Once you have all the prerequisites fulfilled, you can follow the installation steps provided by Open Chat AI to install Open CoPilot locally.

Features and Capabilities of Open CoPilot

Open CoPilot boasts several features and capabilities that make it a powerful AI tool. Here are some of its main features:

Making API Calls

Open CoPilot can call your underlying APIs and execute actions based on the context it understands from your input prompt. It leverages the power of language models to determine when API calls are necessary and selects the appropriate API endpoint. This allows you to streamline your tasks and automate processes effectively.

Transforming Responses into Text

The tool is capable of transforming API responses into Meaningful Texts. It can parse the responses and extract relevant information, presenting it in a readable format. This feature makes it easier for you to understand and work with the data retrieved from API calls.

Populating Request Payload Fields

Open CoPilot can automatically populate the fields required in your API request payload. Based on the context it understands from your input prompt, it fills in the necessary data, saving you the time and effort of manually inputting the payload fields.

Requesting Actions

With Open CoPilot, you can request actions related to your product or service. For example, you can ask the copilot to initiate a new case or analyze specific trends in your data. The copilot will process your request and provide the relevant information or perform the requested action.

Limitations of Open CoPilot

While Open CoPilot offers impressive features, it also has some limitations to consider. Here are a few:

• Not Suitable for Handling Large APIs: Open CoPilot is not equipped to handle complex or large APIs. It is more suitable for smaller and simpler API integrations.

• Limited Chat History Memory: The copilot does not have the ability to remember the chat history for every message sent to it. It focuses on providing real-time assistance rather than retaining a long-term memory.

• Lack of Simultaneous Endpoint Calls: Currently, Open CoPilot does not support calling multiple endpoints simultaneously. However, this is a feature that is expected to be added in the future.

Roadmap for Open CoPilot

Open CoPilot has an exciting roadmap ahead with several planned enhancements and features. Some of the upcoming developments include:

• Chat Memory: Open CoPilot aims to incorporate chat memory, allowing it to retain information from previous conversations. This will enable a more personalized and context-aware experience.

• UI Endpoint Editor: The tool is planning to introduce a UI endpoint editor, which will provide a user-friendly interface for managing and allocating different endpoints within the application.

• Vector Database: Open CoPilot intends to introduce a vector database, allowing users to store and manage larger APIs. This feature will enhance the scalability and flexibility of the tool.

• Plug-in System: The development team is working on implementing a plug-in system, which will enable users to extend the functionality of Open CoPilot by integrating additional tools and services.

• Offline LM Interaction: Open CoPilot plans to introduce an offline LM (Language Model) that will interact with the tool. This will allow users to utilize the large language model offline and ingest text data from various sources like PDFs and websites.

Using Open CoPilot: A Demo

To showcase the capabilities of Open CoPilot, let's look at a demo of how it can be used. After linking your Google account, you can create a co-pilot for your product. You have the option to upload your own Swagger.json file or use one of their pre-made demos, such as the pet store example.

You can manage different aspects of your product, including adding and deleting pets, searching pet statistics, and requesting general help. The co-pilot acts as your AI assistant or secretary, helping you work alongside it to achieve your goals quickly and efficiently.

Accessing Open CoPilot

There are two methods for accessing Open CoPilot: the cloud platform method and the local installation method.

Cloud Platform Method

To access Open CoPilot on the cloud platform, you need to connect your Google account. Once connected, you can create a co-pilot by uploading your own Swagger.json file or using one of their pre-made demos. This method is recommended for ease of use and does not require any additional resources.

Local Installation Method

To install Open CoPilot locally, you need to fulfill the prerequisite requirements, such as Git, Docker, an OpenAI API key, and Python. You can clone the repository onto your desktop using Git, set up Docker, and provide your OpenAI API key. Once the setup is complete, you can navigate to the repository folder and follow the provided command to start the installation on your local host.

Conclusion

Open CoPilot is an exciting AI tool developed by Open Chat AI, aimed at serving as a personalized AI copilot for various tasks. It integrates with your own APIs and provides assistance, making API calls, transforming responses, and populating request payload fields. While it has some limitations, the roadmap for Open CoPilot shows promising features in development. Whether you choose to access it through the cloud platform or install it locally, Open CoPilot can be a valuable asset in streamlining tasks and improving productivity.