mirror of
https://github.com/Palm1r/QodeAssist.git
synced 2025-05-28 03:10:28 -04:00
146 lines
4.1 KiB
C++
146 lines
4.1 KiB
C++
/*
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* Copyright (C) 2024 Petr Mironychev
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*
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* This file is part of QodeAssist.
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*
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* QodeAssist is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* QodeAssist is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with QodeAssist. If not, see <https://www.gnu.org/licenses/>.
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*/
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#include "OpenRouterAIProvider.hpp"
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#include "settings/ChatAssistantSettings.hpp"
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#include "settings/CodeCompletionSettings.hpp"
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#include "settings/ProviderSettings.hpp"
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#include <QJsonArray>
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#include <QJsonDocument>
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#include <QJsonObject>
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#include <QNetworkReply>
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#include "llmcore/OpenAIMessage.hpp"
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#include "logger/Logger.hpp"
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namespace QodeAssist::Providers {
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OpenRouterProvider::OpenRouterProvider() {}
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QString OpenRouterProvider::name() const
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{
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return "OpenRouter";
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}
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QString OpenRouterProvider::url() const
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{
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return "https://openrouter.ai/api";
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}
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void OpenRouterProvider::prepareRequest(QJsonObject &request, LLMCore::RequestType type)
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{
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auto prepareMessages = [](QJsonObject &req) -> QJsonArray {
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QJsonArray messages;
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if (req.contains("system")) {
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messages.append(
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QJsonObject{{"role", "system"}, {"content", req.take("system").toString()}});
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}
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if (req.contains("prompt")) {
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messages.append(
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QJsonObject{{"role", "user"}, {"content", req.take("prompt").toString()}});
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}
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return messages;
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};
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auto applyModelParams = [&request](const auto &settings) {
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request["max_tokens"] = settings.maxTokens();
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request["temperature"] = settings.temperature();
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if (settings.useTopP())
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request["top_p"] = settings.topP();
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if (settings.useTopK())
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request["top_k"] = settings.topK();
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if (settings.useFrequencyPenalty())
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request["frequency_penalty"] = settings.frequencyPenalty();
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if (settings.usePresencePenalty())
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request["presence_penalty"] = settings.presencePenalty();
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};
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QJsonArray messages = prepareMessages(request);
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if (!messages.isEmpty()) {
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request["messages"] = std::move(messages);
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}
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if (type == LLMCore::RequestType::CodeCompletion) {
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applyModelParams(Settings::codeCompletionSettings());
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} else {
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applyModelParams(Settings::chatAssistantSettings());
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}
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}
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bool OpenRouterProvider::handleResponse(QNetworkReply *reply, QString &accumulatedResponse)
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{
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QByteArray data = reply->readAll();
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if (data.isEmpty()) {
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return false;
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}
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bool isDone = false;
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QByteArrayList lines = data.split('\n');
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for (const QByteArray &line : lines) {
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if (line.trimmed().isEmpty() || line.contains("OPENROUTER PROCESSING")) {
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continue;
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}
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if (line == "data: [DONE]") {
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isDone = true;
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continue;
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}
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QByteArray jsonData = line;
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if (line.startsWith("data: ")) {
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jsonData = line.mid(6);
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}
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QJsonParseError error;
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QJsonDocument doc = QJsonDocument::fromJson(jsonData, &error);
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if (doc.isNull()) {
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continue;
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}
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auto message = LLMCore::OpenAIMessage::fromJson(doc.object());
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if (message.hasError()) {
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LOG_MESSAGE("Error in OpenAI response: " + message.error);
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continue;
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}
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QString content = message.getContent();
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if (!content.isEmpty()) {
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accumulatedResponse += content;
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}
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if (message.isDone()) {
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isDone = true;
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}
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}
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return isDone;
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}
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QString OpenRouterProvider::apiKey() const
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{
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return Settings::providerSettings().openRouterApiKey();
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}
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} // namespace QodeAssist::Providers
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