mirror/QodeAssist
1
0
Fork 0
mirror of https://github.com/Palm1r/QodeAssist.git synced 2026-03-31 18:02:44 -04:00
Code Issues Packages Projects Releases Wiki Activity

feat: Rename old llmcore module to pluginllmcore

Browse Source
This commit is contained in:
Petr Mironychev
2026-03-30 00:49:45 +02:00
parent 7b0b04a1ee
commit f58fad9578
123 changed files with 1018 additions and 1018 deletions
Download Patch File Download Diff File Expand all files Collapse all files

54
providers/OpenAIProvider.cpp
View File

@ -19,7 +19,7 @@
#include "OpenAIProvider.hpp"
#include "llmcore/ValidationUtils.hpp"
#include "pluginllmcore/ValidationUtils.hpp"
#include "logger/Logger.hpp"
#include "settings/ChatAssistantSettings.hpp"
#include "settings/CodeCompletionSettings.hpp"
@ -34,7 +34,7 @@
namespace QodeAssist::Providers {
OpenAIProvider::OpenAIProvider(QObject *parent)
: LLMCore::Provider(parent)
: PluginLLMCore::Provider(parent)
, m_toolsManager(new Tools::ToolsManager(this))
{
connect(
@ -71,9 +71,9 @@ bool OpenAIProvider::supportsModelListing() const
void OpenAIProvider::prepareRequest(
QJsonObject &request,
LLMCore::PromptTemplate *prompt,
LLMCore::ContextData context,
LLMCore::RequestType type,
PluginLLMCore::PromptTemplate *prompt,
PluginLLMCore::ContextData context,
PluginLLMCore::RequestType type,
bool isToolsEnabled,
bool isThinkingEnabled)
{
@ -116,22 +116,22 @@ void OpenAIProvider::prepareRequest(
request["presence_penalty"] = settings.presencePenalty();
};
if (type == LLMCore::RequestType::CodeCompletion) {
if (type == PluginLLMCore::RequestType::CodeCompletion) {
applyModelParams(Settings::codeCompletionSettings());
} else if (type == LLMCore::RequestType::QuickRefactoring) {
} else if (type == PluginLLMCore::RequestType::QuickRefactoring) {
applyModelParams(Settings::quickRefactorSettings());
} else {
applyModelParams(Settings::chatAssistantSettings());
}
if (isToolsEnabled) {
LLMCore::RunToolsFilter filter = LLMCore::RunToolsFilter::ALL;
if (type == LLMCore::RequestType::QuickRefactoring) {
filter = LLMCore::RunToolsFilter::OnlyRead;
PluginLLMCore::RunToolsFilter filter = PluginLLMCore::RunToolsFilter::ALL;
if (type == PluginLLMCore::RequestType::QuickRefactoring) {
filter = PluginLLMCore::RunToolsFilter::OnlyRead;
}
auto toolsDefinitions = m_toolsManager->getToolsDefinitions(
LLMCore::ToolSchemaFormat::OpenAI, filter);
PluginLLMCore::ToolSchemaFormat::OpenAI, filter);
if (!toolsDefinitions.isEmpty()) {
request["tools"] = toolsDefinitions;
LOG_MESSAGE(QString("Added %1 tools to OpenAI request").arg(toolsDefinitions.size()));
@ -172,7 +172,7 @@ QFuture<QList<QString>> OpenAIProvider::getInstalledModels(const QString &url)
});
}
QList<QString> OpenAIProvider::validateRequest(const QJsonObject &request, LLMCore::TemplateType type)
QList<QString> OpenAIProvider::validateRequest(const QJsonObject &request, PluginLLMCore::TemplateType type)
{
const auto templateReq = QJsonObject{
{"model", {}},
@ -188,7 +188,7 @@ QList<QString> OpenAIProvider::validateRequest(const QJsonObject &request, LLMCo
{"stream", {}},
{"tools", {}}};
return LLMCore::ValidationUtils::validateRequestFields(request, templateReq);
return PluginLLMCore::ValidationUtils::validateRequestFields(request, templateReq);
}
QString OpenAIProvider::apiKey() const
@ -205,13 +205,13 @@ void OpenAIProvider::prepareNetworkRequest(QNetworkRequest &networkRequest) cons
}
}
LLMCore::ProviderID OpenAIProvider::providerID() const
PluginLLMCore::ProviderID OpenAIProvider::providerID() const
{
return LLMCore::ProviderID::OpenAI;
return PluginLLMCore::ProviderID::OpenAI;
}
void OpenAIProvider::sendRequest(
const LLMCore::RequestID &requestId, const QUrl &url, const QJsonObject &payload)
const PluginLLMCore::RequestID &requestId, const QUrl &url, const QJsonObject &payload)
{
if (!m_messages.contains(requestId)) {
m_dataBuffers[requestId].clear();
@ -238,17 +238,17 @@ bool OpenAIProvider::supportImage() const
return true;
}
void OpenAIProvider::cancelRequest(const LLMCore::RequestID &requestId)
void OpenAIProvider::cancelRequest(const PluginLLMCore::RequestID &requestId)
{
LOG_MESSAGE(QString("OpenAIProvider: Cancelling request %1").arg(requestId));
LLMCore::Provider::cancelRequest(requestId);
PluginLLMCore::Provider::cancelRequest(requestId);
cleanupRequest(requestId);
}
void OpenAIProvider::onDataReceived(
const QodeAssist::LLMCore::RequestID &requestId, const QByteArray &data)
const QodeAssist::PluginLLMCore::RequestID &requestId, const QByteArray &data)
{
LLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
PluginLLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
QStringList lines = buffers.rawStreamBuffer.processData(data);
for (const QString &line : lines) {
@ -265,7 +265,7 @@ void OpenAIProvider::onDataReceived(
}
void OpenAIProvider::onRequestFinished(
const QodeAssist::LLMCore::RequestID &requestId, std::optional<QString> error)
const QodeAssist::PluginLLMCore::RequestID &requestId, std::optional<QString> error)
{
if (error) {
LOG_MESSAGE(QString("OpenAIProvider request %1 failed: %2").arg(requestId, *error));
@ -276,7 +276,7 @@ void OpenAIProvider::onRequestFinished(
if (m_messages.contains(requestId)) {
OpenAIMessage *message = m_messages[requestId];
if (message->state() == LLMCore::MessageState::RequiresToolExecution) {
if (message->state() == PluginLLMCore::MessageState::RequiresToolExecution) {
LOG_MESSAGE(QString("Waiting for tools to complete for %1").arg(requestId));
m_dataBuffers.remove(requestId);
return;
@ -284,7 +284,7 @@ void OpenAIProvider::onRequestFinished(
}
if (m_dataBuffers.contains(requestId)) {
const LLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
const PluginLLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
if (!buffers.responseContent.isEmpty()) {
LOG_MESSAGE(QString("Emitting full response for %1").arg(requestId));
emit fullResponseReceived(requestId, buffers.responseContent);
@ -361,7 +361,7 @@ void OpenAIProvider::processStreamChunk(const QString &requestId, const QJsonObj
}
} else if (
m_dataBuffers.contains(requestId)
&& message->state() == LLMCore::MessageState::RequiresToolExecution) {
&& message->state() == PluginLLMCore::MessageState::RequiresToolExecution) {
message->startNewContinuation();
emit continuationStarted(requestId);
LOG_MESSAGE(QString("Cleared message state for continuation request %1").arg(requestId));
@ -371,7 +371,7 @@ void OpenAIProvider::processStreamChunk(const QString &requestId, const QJsonObj
QString content = delta["content"].toString();
message->handleContentDelta(content);
LLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
PluginLLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
buffers.responseContent += content;
emit partialResponseReceived(requestId, content);
}
@ -416,7 +416,7 @@ void OpenAIProvider::handleMessageComplete(const QString &requestId)
OpenAIMessage *message = m_messages[requestId];
if (message->state() == LLMCore::MessageState::RequiresToolExecution) {
if (message->state() == PluginLLMCore::MessageState::RequiresToolExecution) {
LOG_MESSAGE(QString("OpenAI message requires tool execution for %1").arg(requestId));
auto toolUseContent = message->getCurrentToolUseContent();
@ -438,7 +438,7 @@ void OpenAIProvider::handleMessageComplete(const QString &requestId)
}
}
void OpenAIProvider::cleanupRequest(const LLMCore::RequestID &requestId)
void OpenAIProvider::cleanupRequest(const PluginLLMCore::RequestID &requestId)
{
LOG_MESSAGE(QString("Cleaning up OpenAI request %1").arg(requestId));