QodeAssist/providers/OpenAIProvider.cpp
2025-04-04 18:01:02 +02:00

227 lines
6.5 KiB
C++

/*
* Copyright (C) 2024-2025 Petr Mironychev
*
* This file is part of QodeAssist.
*
* QodeAssist is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* QodeAssist is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with QodeAssist. If not, see <https://www.gnu.org/licenses/>.
*/
#include "OpenAIProvider.hpp"
#include "settings/ChatAssistantSettings.hpp"
#include "settings/CodeCompletionSettings.hpp"
#include "settings/ProviderSettings.hpp"
#include <QEventLoop>
#include <QJsonArray>
#include <QJsonDocument>
#include <QJsonObject>
#include <QNetworkReply>
#include "llmcore/OpenAIMessage.hpp"
#include "llmcore/ValidationUtils.hpp"
#include "logger/Logger.hpp"
namespace QodeAssist::Providers {
QString OpenAIProvider::name() const
{
return "OpenAI";
}
QString OpenAIProvider::url() const
{
return "https://api.openai.com";
}
QString OpenAIProvider::completionEndpoint() const
{
return "/v1/chat/completions";
}
QString OpenAIProvider::chatEndpoint() const
{
return "/v1/chat/completions";
}
bool OpenAIProvider::supportsModelListing() const
{
return true;
}
void OpenAIProvider::prepareRequest(
QJsonObject &request,
LLMCore::PromptTemplate *prompt,
LLMCore::ContextData context,
LLMCore::RequestType type)
{
if (!prompt->isSupportProvider(providerID())) {
LOG_MESSAGE(QString("Template %1 doesn't support %2 provider").arg(name(), prompt->name()));
}
prompt->prepareRequest(request, context);
auto applyModelParams = [&request](const auto &settings) {
request["max_tokens"] = settings.maxTokens();
request["temperature"] = settings.temperature();
if (settings.useTopP())
request["top_p"] = settings.topP();
if (settings.useTopK())
request["top_k"] = settings.topK();
if (settings.useFrequencyPenalty())
request["frequency_penalty"] = settings.frequencyPenalty();
if (settings.usePresencePenalty())
request["presence_penalty"] = settings.presencePenalty();
};
if (type == LLMCore::RequestType::CodeCompletion) {
applyModelParams(Settings::codeCompletionSettings());
} else {
applyModelParams(Settings::chatAssistantSettings());
}
}
bool OpenAIProvider::handleResponse(QNetworkReply *reply, QString &accumulatedResponse)
{
QByteArray data = reply->readAll();
if (data.isEmpty()) {
return false;
}
bool isDone = false;
QByteArrayList lines = data.split('\n');
for (const QByteArray &line : lines) {
if (line.trimmed().isEmpty()) {
continue;
}
if (line == "data: [DONE]") {
isDone = true;
continue;
}
QByteArray jsonData = line;
if (line.startsWith("data: ")) {
jsonData = line.mid(6);
}
QJsonParseError error;
QJsonDocument doc = QJsonDocument::fromJson(jsonData, &error);
if (doc.isNull()) {
continue;
}
auto message = LLMCore::OpenAIMessage::fromJson(doc.object());
if (message.hasError()) {
LOG_MESSAGE("Error in OpenAI response: " + message.error);
continue;
}
QString content = message.getContent();
if (!content.isEmpty()) {
accumulatedResponse += content;
}
if (message.isDone()) {
isDone = true;
}
}
return isDone;
}
QList<QString> OpenAIProvider::getInstalledModels(const QString &url)
{
QList<QString> models;
QNetworkAccessManager manager;
QNetworkRequest request(QString("%1/v1/models").arg(url));
request.setHeader(QNetworkRequest::ContentTypeHeader, "application/json");
if (!apiKey().isEmpty()) {
request.setRawHeader("Authorization", QString("Bearer %1").arg(apiKey()).toUtf8());
}
QNetworkReply *reply = manager.get(request);
QEventLoop loop;
QObject::connect(reply, &QNetworkReply::finished, &loop, &QEventLoop::quit);
loop.exec();
if (reply->error() == QNetworkReply::NoError) {
QByteArray responseData = reply->readAll();
QJsonDocument jsonResponse = QJsonDocument::fromJson(responseData);
QJsonObject jsonObject = jsonResponse.object();
if (jsonObject.contains("data")) {
QJsonArray modelArray = jsonObject["data"].toArray();
for (const QJsonValue &value : modelArray) {
QJsonObject modelObject = value.toObject();
if (modelObject.contains("id")) {
QString modelId = modelObject["id"].toString();
if (!modelId.contains("dall-e") && !modelId.contains("whisper")
&& !modelId.contains("tts") && !modelId.contains("davinci")
&& !modelId.contains("babbage") && !modelId.contains("omni")) {
models.append(modelId);
}
}
}
}
} else {
LOG_MESSAGE(QString("Error fetching ChatGPT models: %1").arg(reply->errorString()));
}
reply->deleteLater();
return models;
}
QList<QString> OpenAIProvider::validateRequest(const QJsonObject &request, LLMCore::TemplateType type)
{
const auto templateReq = QJsonObject{
{"model", {}},
{"messages", QJsonArray{{QJsonObject{{"role", {}}, {"content", {}}}}}},
{"temperature", {}},
{"max_tokens", {}},
{"top_p", {}},
{"top_k", {}},
{"frequency_penalty", {}},
{"presence_penalty", {}},
{"stop", QJsonArray{}},
{"stream", {}}};
return LLMCore::ValidationUtils::validateRequestFields(request, templateReq);
}
QString OpenAIProvider::apiKey() const
{
return Settings::providerSettings().openAiApiKey();
}
void OpenAIProvider::prepareNetworkRequest(QNetworkRequest &networkRequest) const
{
networkRequest.setHeader(QNetworkRequest::ContentTypeHeader, "application/json");
if (!apiKey().isEmpty()) {
networkRequest.setRawHeader("Authorization", QString("Bearer %1").arg(apiKey()).toUtf8());
}
}
LLMCore::ProviderID OpenAIProvider::providerID() const
{
return LLMCore::ProviderID::OpenAI;
}
} // namespace QodeAssist::Providers