Files
QodeAssist/providers/GoogleAIProvider.cpp
2025-10-12 03:56:05 +02:00

452 lines
15 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 "GoogleAIProvider.hpp"
#include <QEventLoop>
#include <QJsonArray>
#include <QJsonDocument>
#include <QJsonObject>
#include <QNetworkReply>
#include <QtCore/qurlquery.h>
#include "llmcore/ValidationUtils.hpp"
#include "logger/Logger.hpp"
#include "settings/ChatAssistantSettings.hpp"
#include "settings/CodeCompletionSettings.hpp"
#include "settings/GeneralSettings.hpp"
#include "settings/ProviderSettings.hpp"
namespace QodeAssist::Providers {
GoogleAIProvider::GoogleAIProvider(QObject *parent)
: LLMCore::Provider(parent)
, m_toolsManager(new Tools::ToolsManager(this))
{
connect(
m_toolsManager,
&Tools::ToolsManager::toolExecutionComplete,
this,
&GoogleAIProvider::onToolExecutionComplete);
}
QString GoogleAIProvider::name() const
{
return "Google AI";
}
QString GoogleAIProvider::url() const
{
return "https://generativelanguage.googleapis.com/v1beta";
}
QString GoogleAIProvider::completionEndpoint() const
{
return {};
}
QString GoogleAIProvider::chatEndpoint() const
{
return {};
}
bool GoogleAIProvider::supportsModelListing() const
{
return true;
}
void GoogleAIProvider::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) {
QJsonObject generationConfig;
generationConfig["maxOutputTokens"] = settings.maxTokens();
generationConfig["temperature"] = settings.temperature();
if (settings.useTopP())
generationConfig["topP"] = settings.topP();
if (settings.useTopK())
generationConfig["topK"] = settings.topK();
request["generationConfig"] = generationConfig;
};
if (type == LLMCore::RequestType::CodeCompletion) {
applyModelParams(Settings::codeCompletionSettings());
} else {
applyModelParams(Settings::chatAssistantSettings());
}
if (supportsTools() && type == LLMCore::RequestType::Chat
&& Settings::generalSettings().useTools()) {
auto toolsDefinitions = m_toolsManager->getToolsDefinitions(
LLMCore::ToolSchemaFormat::Google);
if (!toolsDefinitions.isEmpty()) {
request["tools"] = toolsDefinitions;
LOG_MESSAGE(QString("Added %1 tools to Google AI request").arg(toolsDefinitions.size()));
}
}
}
QList<QString> GoogleAIProvider::getInstalledModels(const QString &url)
{
QList<QString> models;
QNetworkAccessManager manager;
QNetworkRequest request(QString("%1/models?key=%2").arg(url, apiKey()));
request.setHeader(QNetworkRequest::ContentTypeHeader, "application/json");
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("models")) {
QJsonArray modelArray = jsonObject["models"].toArray();
models.clear();
for (const QJsonValue &value : modelArray) {
QJsonObject modelObject = value.toObject();
if (modelObject.contains("name")) {
QString modelName = modelObject["name"].toString();
if (modelName.contains("/")) {
modelName = modelName.split("/").last();
}
models.append(modelName);
}
}
}
} else {
LOG_MESSAGE(QString("Error fetching Google AI models: %1").arg(reply->errorString()));
}
reply->deleteLater();
return models;
}
QList<QString> GoogleAIProvider::validateRequest(
const QJsonObject &request, LLMCore::TemplateType type)
{
QJsonObject templateReq;
templateReq = QJsonObject{
{"contents", QJsonArray{}},
{"system_instruction", QJsonArray{}},
{"generationConfig",
QJsonObject{{"temperature", {}}, {"maxOutputTokens", {}}, {"topP", {}}, {"topK", {}}}},
{"safetySettings", QJsonArray{}},
{"tools", QJsonArray{}}};
return LLMCore::ValidationUtils::validateRequestFields(request, templateReq);
}
QString GoogleAIProvider::apiKey() const
{
return Settings::providerSettings().googleAiApiKey();
}
void GoogleAIProvider::prepareNetworkRequest(QNetworkRequest &networkRequest) const
{
networkRequest.setHeader(QNetworkRequest::ContentTypeHeader, "application/json");
QUrl url = networkRequest.url();
QUrlQuery query(url.query());
query.addQueryItem("key", apiKey());
url.setQuery(query);
networkRequest.setUrl(url);
}
LLMCore::ProviderID GoogleAIProvider::providerID() const
{
return LLMCore::ProviderID::GoogleAI;
}
void GoogleAIProvider::sendRequest(
const LLMCore::RequestID &requestId, const QUrl &url, const QJsonObject &payload)
{
if (!m_messages.contains(requestId)) {
m_dataBuffers[requestId].clear();
}
m_requestUrls[requestId] = url;
m_originalRequests[requestId] = payload;
QNetworkRequest networkRequest(url);
prepareNetworkRequest(networkRequest);
LLMCore::HttpRequest
request{.networkRequest = networkRequest, .requestId = requestId, .payload = payload};
LOG_MESSAGE(
QString("GoogleAIProvider: Sending request %1 to %2").arg(requestId, url.toString()));
emit httpClient()->sendRequest(request);
}
bool GoogleAIProvider::supportsTools() const
{
return true;
}
void GoogleAIProvider::cancelRequest(const LLMCore::RequestID &requestId)
{
LOG_MESSAGE(QString("GoogleAIProvider: Cancelling request %1").arg(requestId));
LLMCore::Provider::cancelRequest(requestId);
cleanupRequest(requestId);
}
void GoogleAIProvider::onDataReceived(
const QodeAssist::LLMCore::RequestID &requestId, const QByteArray &data)
{
if (data.isEmpty()) {
return;
}
QJsonParseError parseError;
QJsonDocument doc = QJsonDocument::fromJson(data, &parseError);
if (!doc.isNull() && doc.isObject()) {
QJsonObject obj = doc.object();
if (obj.contains("error")) {
QJsonObject error = obj["error"].toObject();
QString errorMessage = error["message"].toString();
int errorCode = error["code"].toInt();
QString fullError
= QString("Google AI API Error %1: %2").arg(errorCode).arg(errorMessage);
LOG_MESSAGE(fullError);
emit requestFailed(requestId, fullError);
cleanupRequest(requestId);
return;
}
}
LLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
QStringList lines = buffers.rawStreamBuffer.processData(data);
for (const QString &line : lines) {
if (line.trimmed().isEmpty()) {
continue;
}
QJsonObject chunk = parseEventLine(line);
if (chunk.isEmpty())
continue;
processStreamChunk(requestId, chunk);
}
}
void GoogleAIProvider::onRequestFinished(
const QodeAssist::LLMCore::RequestID &requestId, bool success, const QString &error)
{
if (!success) {
LOG_MESSAGE(QString("GoogleAIProvider request %1 failed: %2").arg(requestId, error));
emit requestFailed(requestId, error);
cleanupRequest(requestId);
return;
}
if (m_messages.contains(requestId)) {
GoogleMessage *message = m_messages[requestId];
if (message->state() == LLMCore::MessageState::RequiresToolExecution) {
LOG_MESSAGE(QString("Waiting for tools to complete for %1").arg(requestId));
m_dataBuffers.remove(requestId);
return;
}
}
if (m_dataBuffers.contains(requestId)) {
const LLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
if (!buffers.responseContent.isEmpty()) {
LOG_MESSAGE(QString("Emitting full response for %1").arg(requestId));
emit fullResponseReceived(requestId, buffers.responseContent);
}
}
cleanupRequest(requestId);
}
void GoogleAIProvider::onToolExecutionComplete(
const QString &requestId, const QHash<QString, QString> &toolResults)
{
if (!m_messages.contains(requestId) || !m_requestUrls.contains(requestId)) {
LOG_MESSAGE(QString("ERROR: Missing data for continuation request %1").arg(requestId));
cleanupRequest(requestId);
return;
}
LOG_MESSAGE(QString("Tool execution complete for Google AI request %1").arg(requestId));
for (auto it = toolResults.begin(); it != toolResults.end(); ++it) {
GoogleMessage *message = m_messages[requestId];
auto toolContent = message->getCurrentToolUseContent();
for (auto tool : toolContent) {
if (tool->id() == it.key()) {
auto toolStringName = m_toolsManager->toolsFactory()->getStringName(tool->name());
emit toolExecutionCompleted(
requestId, tool->id(), toolStringName, toolResults[tool->id()]);
break;
}
}
}
GoogleMessage *message = m_messages[requestId];
QJsonObject continuationRequest = m_originalRequests[requestId];
QJsonArray contents = continuationRequest["contents"].toArray();
contents.append(message->toProviderFormat());
QJsonObject userMessage;
userMessage["role"] = "user";
userMessage["parts"] = message->createToolResultParts(toolResults);
contents.append(userMessage);
continuationRequest["contents"] = contents;
LOG_MESSAGE(QString("Sending continuation request for %1 with %2 tool results")
.arg(requestId)
.arg(toolResults.size()));
sendRequest(requestId, m_requestUrls[requestId], continuationRequest);
}
void GoogleAIProvider::processStreamChunk(const QString &requestId, const QJsonObject &chunk)
{
if (!chunk.contains("candidates")) {
return;
}
GoogleMessage *message = m_messages.value(requestId);
if (!message) {
message = new GoogleMessage(this);
m_messages[requestId] = message;
LOG_MESSAGE(QString("Created NEW GoogleMessage for request %1").arg(requestId));
if (m_dataBuffers.contains(requestId)) {
emit continuationStarted(requestId);
LOG_MESSAGE(QString("Starting continuation for request %1").arg(requestId));
}
} else if (
m_dataBuffers.contains(requestId)
&& message->state() == LLMCore::MessageState::RequiresToolExecution) {
message->startNewContinuation();
LOG_MESSAGE(QString("Cleared message state for continuation request %1").arg(requestId));
}
QJsonArray candidates = chunk["candidates"].toArray();
for (const QJsonValue &candidate : candidates) {
QJsonObject candidateObj = candidate.toObject();
if (candidateObj.contains("content")) {
QJsonObject content = candidateObj["content"].toObject();
if (content.contains("parts")) {
QJsonArray parts = content["parts"].toArray();
for (const QJsonValue &part : parts) {
QJsonObject partObj = part.toObject();
if (partObj.contains("text")) {
QString text = partObj["text"].toString();
message->handleContentDelta(text);
LLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
buffers.responseContent += text;
emit partialResponseReceived(requestId, text);
} else if (partObj.contains("functionCall")) {
QJsonObject functionCall = partObj["functionCall"].toObject();
QString name = functionCall["name"].toString();
QJsonObject args = functionCall["args"].toObject();
message->handleFunctionCallStart(name);
message->handleFunctionCallArgsDelta(
QString::fromUtf8(QJsonDocument(args).toJson(QJsonDocument::Compact)));
message->handleFunctionCallComplete();
}
}
}
}
if (candidateObj.contains("finishReason")) {
QString finishReason = candidateObj["finishReason"].toString();
message->handleFinishReason(finishReason);
handleMessageComplete(requestId);
}
}
}
void GoogleAIProvider::handleMessageComplete(const QString &requestId)
{
if (!m_messages.contains(requestId))
return;
GoogleMessage *message = m_messages[requestId];
if (message->state() == LLMCore::MessageState::RequiresToolExecution) {
LOG_MESSAGE(QString("Google AI message requires tool execution for %1").arg(requestId));
auto toolUseContent = message->getCurrentToolUseContent();
if (toolUseContent.isEmpty()) {
LOG_MESSAGE(QString("No tools to execute for %1").arg(requestId));
return;
}
for (auto toolContent : toolUseContent) {
auto toolStringName = m_toolsManager->toolsFactory()->getStringName(toolContent->name());
emit toolExecutionStarted(requestId, toolContent->id(), toolStringName);
m_toolsManager->executeToolCall(
requestId, toolContent->id(), toolContent->name(), toolContent->input());
}
} else {
LOG_MESSAGE(QString("Google AI message marked as complete for %1").arg(requestId));
}
}
void GoogleAIProvider::cleanupRequest(const LLMCore::RequestID &requestId)
{
LOG_MESSAGE(QString("Cleaning up Google AI request %1").arg(requestId));
if (m_messages.contains(requestId)) {
GoogleMessage *message = m_messages.take(requestId);
message->deleteLater();
}
m_dataBuffers.remove(requestId);
m_requestUrls.remove(requestId);
m_originalRequests.remove(requestId);
m_toolsManager->cleanupRequest(requestId);
}
} // namespace QodeAssist::Providers