WinRT library for calling into OpenAI APIs
$ dotnet add package OpenAI.WinRTWinRT library for interacting with OpenAI APIs
#include <iostream>
#include <winrt/base.h>
#include <winrt/Windows.Foundation.h>
#include <winrt/Windows.Foundation.Collections.h>
#include <winrt/openai.h>
// Reference the CppWinRT.Builders NuGet package to get fluent-style property setters
#include <winrt/builders/OpenAI.CompletionRequest.h>
int main()
{
winrt::init_apartment(/*winrt::apartment_type::multi_threaded*/);
auto openai = winrt::OpenAI::OpenAIClient{};
// configure the API key (otherwise it will use the value from the environment variable OPENAI_KEY)
// openai.ApiKey(L"....");
auto completionTask = openai.GetCompletionAsync(L"git clone ", L"text-davinci-003");
auto completions = completionTask.get(); // you can co_await GetCompletionAsync instead if inside an async method
for (auto const& c : completions) {
std::wcout << c.Text() << L"\n";
}
std::wcout << L"\n\n---\n";
auto completionTask2 = openai.GetCompletionAsync(
winrt::OpenAI::builders::CompletionRequest{} // this uses the CppWinRT.Builders package
.Prompt(L"git clone ")
.Model(L"text-davinci-003")
.NCompletions(5)
.Temperature(0.7f)
.MaxTokens(100)
);
auto completions2 = completionTask2.get();
auto i = 0;
for (auto const& c : completions2) {
std::wcout << L"Completion #" << i << L"\n";
std::wcout << c.Text() << L"\n";
i++;
}
If you'd rather not use the CppWinRT.Builders NuGet package, you can set properties individually on a CompletionRequest object:
auto cr = winrt::OpenAI::CompletionRequest{};
cr.Prompt(L"git clone ");
cr.Model(L"text-davinci-003");
cr.NCompletions(5);
cr.Temperature(0.7f);
cr.MaxTokens(100);
auto completionTask2 = openai.GetCompletionAsync(cr);
auto promptTemplate = openai.CreateTemplate(L"Tell me a {adjective} joke about {content}");
auto funnyJokeTask = promptTemplate.FormatAsync({ {L"adjective", L"funny"}, {L"content", L"chickens"} });
auto funnyJoke = funnyJokeTask.get();
std::wcout << L"\n\n" << funnyJoke << L"\n\n\n";
auto example = openai.CreateFewShotTemplate({ L"word", L"antonym" });
auto examples = std::vector {
winrt::multi_threaded_map(std::unordered_map<hstring, hstring> { {L"word", L"happy"}, { L"antonym", L"sad" }}),
winrt::multi_threaded_map(std::unordered_map<hstring, hstring>{ {L"word", L"tall"}, { L"antonym", L"short" }}),
};
example.Examples(std::move(examples));
auto fewshot = example.ExecuteAsync(L"big").get();
std::wcout << L"the opposite of big is " << fewshot.Lookup(L"antonym").begin() << L"\n";