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https://github.com/Palm1r/QodeAssist.git
synced 2025-07-14 11:04:26 -04:00
feat: Add Google AI provider and template
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303
providers/GoogleAIProvider.cpp
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303
providers/GoogleAIProvider.cpp
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/*
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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 "GoogleAIProvider.hpp"
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#include <QEventLoop>
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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 <QtCore/qurlquery.h>
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#include "llmcore/ValidationUtils.hpp"
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#include "logger/Logger.hpp"
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#include "settings/ChatAssistantSettings.hpp"
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#include "settings/CodeCompletionSettings.hpp"
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#include "settings/GeneralSettings.hpp"
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#include "settings/ProviderSettings.hpp"
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namespace QodeAssist::Providers {
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QString GoogleAIProvider::name() const
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{
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return "Google AI";
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}
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QString GoogleAIProvider::url() const
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{
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return "https://generativelanguage.googleapis.com/v1beta";
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}
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QString GoogleAIProvider::completionEndpoint() const
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{
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return {};
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}
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QString GoogleAIProvider::chatEndpoint() const
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{
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return {};
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}
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bool GoogleAIProvider::supportsModelListing() const
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{
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return true;
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}
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void GoogleAIProvider::prepareRequest(
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QJsonObject &request,
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LLMCore::PromptTemplate *prompt,
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LLMCore::ContextData context,
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LLMCore::RequestType type)
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{
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if (!prompt->isSupportProvider(providerID())) {
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LOG_MESSAGE(QString("Template %1 doesn't support %2 provider").arg(name(), prompt->name()));
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}
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prompt->prepareRequest(request, context);
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auto applyModelParams = [&request](const auto &settings) {
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QJsonObject generationConfig;
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generationConfig["maxOutputTokens"] = settings.maxTokens();
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generationConfig["temperature"] = settings.temperature();
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if (settings.useTopP())
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generationConfig["topP"] = settings.topP();
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if (settings.useTopK())
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generationConfig["topK"] = settings.topK();
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request["generationConfig"] = generationConfig;
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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 GoogleAIProvider::handleResponse(QNetworkReply *reply, QString &accumulatedResponse)
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{
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if (reply->isFinished()) {
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if (reply->bytesAvailable() > 0) {
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QByteArray data = reply->readAll();
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if (data.startsWith("data: ")) {
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return handleStreamResponse(data, accumulatedResponse);
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} else {
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return handleRegularResponse(data, accumulatedResponse);
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}
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}
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return true;
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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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if (data.startsWith("data: ")) {
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return handleStreamResponse(data, accumulatedResponse);
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} else {
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return handleRegularResponse(data, accumulatedResponse);
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}
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}
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QList<QString> GoogleAIProvider::getInstalledModels(const QString &url)
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{
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QList<QString> models;
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QNetworkAccessManager manager;
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QNetworkRequest request(QString("%1/models?key=%2").arg(url, apiKey()));
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request.setHeader(QNetworkRequest::ContentTypeHeader, "application/json");
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QNetworkReply *reply = manager.get(request);
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QEventLoop loop;
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QObject::connect(reply, &QNetworkReply::finished, &loop, &QEventLoop::quit);
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loop.exec();
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if (reply->error() == QNetworkReply::NoError) {
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QByteArray responseData = reply->readAll();
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QJsonDocument jsonResponse = QJsonDocument::fromJson(responseData);
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QJsonObject jsonObject = jsonResponse.object();
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if (jsonObject.contains("models")) {
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QJsonArray modelArray = jsonObject["models"].toArray();
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models.clear();
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for (const QJsonValue &value : modelArray) {
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QJsonObject modelObject = value.toObject();
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if (modelObject.contains("name")) {
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QString modelName = modelObject["name"].toString();
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if (modelName.contains("/")) {
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modelName = modelName.split("/").last();
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}
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models.append(modelName);
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}
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}
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}
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} else {
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LOG_MESSAGE(QString("Error fetching Google AI models: %1").arg(reply->errorString()));
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}
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reply->deleteLater();
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return models;
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}
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QList<QString> GoogleAIProvider::validateRequest(
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const QJsonObject &request, LLMCore::TemplateType type)
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{
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QJsonObject templateReq;
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templateReq = QJsonObject{
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{"contents", QJsonArray{}},
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{"system_instruction", QJsonArray{}},
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{"generationConfig",
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QJsonObject{{"temperature", {}}, {"maxOutputTokens", {}}, {"topP", {}}, {"topK", {}}}},
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{"safetySettings", QJsonArray{}}};
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return LLMCore::ValidationUtils::validateRequestFields(request, templateReq);
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}
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QString GoogleAIProvider::apiKey() const
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{
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return Settings::providerSettings().googleAiApiKey();
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}
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void GoogleAIProvider::prepareNetworkRequest(QNetworkRequest &networkRequest) const
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{
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networkRequest.setHeader(QNetworkRequest::ContentTypeHeader, "application/json");
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QUrl url = networkRequest.url();
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QUrlQuery query(url.query());
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query.addQueryItem("key", apiKey());
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url.setQuery(query);
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networkRequest.setUrl(url);
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}
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LLMCore::ProviderID GoogleAIProvider::providerID() const
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{
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return LLMCore::ProviderID::GoogleAI;
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}
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bool GoogleAIProvider::handleStreamResponse(const QByteArray &data, QString &accumulatedResponse)
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{
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QByteArrayList lines = data.split('\n');
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bool isDone = false;
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for (const QByteArray &line : lines) {
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QByteArray trimmedLine = line.trimmed();
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if (trimmedLine.isEmpty()) {
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continue;
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}
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if (trimmedLine == "data: [DONE]") {
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isDone = true;
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continue;
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}
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if (trimmedLine.startsWith("data: ")) {
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QByteArray jsonData = trimmedLine.mid(6); // Remove "data: " prefix
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QJsonDocument doc = QJsonDocument::fromJson(jsonData);
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if (doc.isNull() || !doc.isObject()) {
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continue;
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}
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QJsonObject responseObj = doc.object();
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if (responseObj.contains("error")) {
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QJsonObject error = responseObj["error"].toObject();
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LOG_MESSAGE("Error in Google AI stream response: " + error["message"].toString());
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continue;
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}
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if (responseObj.contains("candidates")) {
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QJsonArray candidates = responseObj["candidates"].toArray();
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if (!candidates.isEmpty()) {
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QJsonObject candidate = candidates.first().toObject();
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if (candidate.contains("finishReason")
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&& !candidate["finishReason"].toString().isEmpty()) {
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isDone = true;
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}
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if (candidate.contains("content")) {
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QJsonObject content = candidate["content"].toObject();
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if (content.contains("parts")) {
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QJsonArray parts = content["parts"].toArray();
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for (const auto &part : parts) {
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QJsonObject partObj = part.toObject();
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if (partObj.contains("text")) {
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accumulatedResponse += partObj["text"].toString();
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}
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}
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}
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}
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}
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}
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}
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}
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return isDone;
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}
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bool GoogleAIProvider::handleRegularResponse(const QByteArray &data, QString &accumulatedResponse)
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{
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QJsonDocument doc = QJsonDocument::fromJson(data);
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if (doc.isNull() || !doc.isObject()) {
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LOG_MESSAGE("Invalid JSON response from Google AI API");
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return false;
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}
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QJsonObject response = doc.object();
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if (response.contains("error")) {
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QJsonObject error = response["error"].toObject();
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LOG_MESSAGE("Error in Google AI response: " + error["message"].toString());
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return false;
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}
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if (!response.contains("candidates") || response["candidates"].toArray().isEmpty()) {
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return false;
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}
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QJsonObject candidate = response["candidates"].toArray().first().toObject();
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if (!candidate.contains("content")) {
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return false;
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}
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QJsonObject content = candidate["content"].toObject();
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if (!content.contains("parts")) {
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return false;
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}
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QJsonArray parts = content["parts"].toArray();
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for (const auto &part : parts) {
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QJsonObject partObj = part.toObject();
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if (partObj.contains("text")) {
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accumulatedResponse += partObj["text"].toString();
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}
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}
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return true;
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}
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} // namespace QodeAssist::Providers
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