OpenAI C++ Library: A Comprehensive Introduction
The OpenAI C++ Library, also known as OpenAI-CPP, stands out as a community-driven, lightweight solution for developers seeking seamless integration with the OpenAI API using the C++ programming language. This edit-friendly, modern library is heralded for its simplicity and efficiency, making it an essential tool for C++ applications aiming to leverage OpenAI's capabilities.
Key Attributes
- Language: The library is built with C++, ensuring modern C++11 standards and above are supported.
- Simplicity: Comprising only two header files – with one being optional if you already utilize Nlohmann JSON – this library boasts a minimal footprint while offering a powerful interface.
- Accessibility: Available under the MIT license, it encourages open development and collaboration.
System Requirements
To employ the OpenAI C++ Library, users need a C++11 or later compatible compiler and the libcurl library to handle HTTP requests. These tools are standard in most development environments.
Core Features and Functionalities
The OpenAI C++ Library is engineered to support most, if not all, requests found on the OpenAI references. It simplifies API interactions by offering functionality across diverse API endpoints. Here is a quick glimpse:
- Models: Easily list and retrieve model details.
- Completions: Craft and manage text completions, perfect for generating text.
- Images: Generate images, edit existing ones, or create variations based on user-defined prompts.
- Embeddings and Files: Create embeddings for machine learning models and manage files with operations like upload, delete, and retrieve.
- Fine-tunes: Full control over fine-tuning processes, including creation, listing, retrieval, and cancellation.
- Chat and Audio: Engage in chat completions and handle audio transcription or translation.
- Moderation: Manage content moderation with ease.
Installation Process
Setting up the OpenAI C++ Library is straightforward. Users need to copy the designated header files into their project environment. Integration is a breeze by simply including the OpenAI header in the project code. Notably, it can leverage your existing Nlohmann JSON library to expedite compile times.
Getting Started: Example Code
Configuration begins with setting your OpenAI API key, which can be done through environment variables or directly in the code. Below is an example of the library's implementation in a C++ program:
#include "openai.hpp"
#include <iostream>
int main() {
openai::start();
auto completion = openai::completion().create(R"({
"model": "text-davinci-003",
"prompt": "Say this is a test",
"max_tokens": 7,
"temperature": 0
})"_json);
std::cout << "Response is:\n" << completion.dump(2) << '\n';
auto image = openai::image().create({
{ "prompt", "A cute koala playing the violin"},
{ "n", 1 },
{ "size", "512x512" }
});
std::cout << "Image URL is: " << image["data"][0]["url"] << '\n';
}
This snippet exhibits how to perform text and image operations using the library.
Building and Running Examples
To build examples, users should create a 'build' directory, configure the build using CMake, and compile the examples. This process is adaptable whether on Windows, Linux, or macOS.
Advanced Usage
The library includes some advanced features like error handling and multiple instance management. By default, exceptions are thrown for request failures, but this can be configured based on user preference. Multiple API keys can also be managed for different sessions.
Troubleshooting
Support is available for common issues, notably libcurl handling on Windows systems. Several solutions are proposed to ensure seamless integration and usage across different operating systems.
License and Acknowledgments
The OpenAI C++ Library is distributed under the MIT license, promoting its open-source nature. It's inspired by projects such as slacking and cpr, and warmly thanks sponsors like OLREA for support and contributions to the library's development.
In summary, the OpenAI C++ Library provides a potent package for developers working with OpenAI APIs, offering a blend of power, simplicity, and flexibility ideal for modern C++ applications.