mirror of
https://github.com/Palm1r/QodeAssist.git
synced 2025-10-10 05:54:30 -04:00
feat: Add OpenAI tooling support (#232)
This commit is contained in:
@ -19,6 +19,8 @@
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#include "OpenAIProvider.hpp"
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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/ProviderSettings.hpp"
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@ -29,12 +31,19 @@
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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 "llmcore/ValidationUtils.hpp"
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#include "logger/Logger.hpp"
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namespace QodeAssist::Providers {
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OpenAIProvider::OpenAIProvider(QObject *parent)
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: LLMCore::Provider(parent)
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, m_toolsManager(new Tools::ToolsManager(this))
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{
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connect(
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m_toolsManager,
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&Tools::ToolsManager::toolExecutionComplete,
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this,
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&OpenAIProvider::onToolExecutionComplete);
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}
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QString OpenAIProvider::name() const
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{
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return "OpenAI";
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@ -91,6 +100,15 @@ void OpenAIProvider::prepareRequest(
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} else {
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applyModelParams(Settings::chatAssistantSettings());
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}
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if (supportsTools() && type == LLMCore::RequestType::Chat
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&& Settings::chatAssistantSettings().useTools()) {
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auto toolsDefinitions = m_toolsManager->getToolsDefinitions(Tools::ToolSchemaFormat::OpenAI);
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if (!toolsDefinitions.isEmpty()) {
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request["tools"] = toolsDefinitions;
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LOG_MESSAGE(QString("Added %1 tools to OpenAI request").arg(toolsDefinitions.size()));
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}
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}
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}
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QList<QString> OpenAIProvider::getInstalledModels(const QString &url)
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@ -129,7 +147,7 @@ QList<QString> OpenAIProvider::getInstalledModels(const QString &url)
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}
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}
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} else {
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LOG_MESSAGE(QString("Error fetching ChatGPT models: %1").arg(reply->errorString()));
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LOG_MESSAGE(QString("Error fetching OpenAI models: %1").arg(reply->errorString()));
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}
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reply->deleteLater();
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@ -148,7 +166,8 @@ QList<QString> OpenAIProvider::validateRequest(const QJsonObject &request, LLMCo
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{"frequency_penalty", {}},
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{"presence_penalty", {}},
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{"stop", QJsonArray{}},
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{"stream", {}}};
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{"stream", {}},
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{"tools", {}}};
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return LLMCore::ValidationUtils::validateRequestFields(request, templateReq);
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}
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@ -175,8 +194,12 @@ LLMCore::ProviderID OpenAIProvider::providerID() const
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void OpenAIProvider::sendRequest(
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const LLMCore::RequestID &requestId, const QUrl &url, const QJsonObject &payload)
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{
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m_dataBuffers[requestId].clear();
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if (!m_messages.contains(requestId)) {
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m_dataBuffers[requestId].clear();
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}
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m_requestUrls[requestId] = url;
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m_originalRequests[requestId] = payload;
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QNetworkRequest networkRequest(url);
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prepareNetworkRequest(networkRequest);
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@ -189,57 +212,34 @@ void OpenAIProvider::sendRequest(
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emit httpClient()->sendRequest(request);
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}
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bool OpenAIProvider::supportsTools() const
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{
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return true;
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}
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void OpenAIProvider::cancelRequest(const LLMCore::RequestID &requestId)
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{
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LOG_MESSAGE(QString("OpenAIProvider: Cancelling request %1").arg(requestId));
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LLMCore::Provider::cancelRequest(requestId);
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cleanupRequest(requestId);
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}
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void OpenAIProvider::onDataReceived(
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const QodeAssist::LLMCore::RequestID &requestId, const QByteArray &data)
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{
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LLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
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QStringList lines = buffers.rawStreamBuffer.processData(data);
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if (data.isEmpty()) {
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return;
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}
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bool isDone = false;
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QString tempResponse;
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for (const QString &line : lines) {
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if (line.trimmed().isEmpty()) {
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if (line.trimmed().isEmpty() || line == "data: [DONE]") {
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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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QJsonObject responseObj = parseEventLine(line);
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if (responseObj.isEmpty())
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QJsonObject chunk = parseEventLine(line);
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if (chunk.isEmpty())
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continue;
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auto message = LLMCore::OpenAIMessage::fromJson(responseObj);
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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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tempResponse += 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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if (!tempResponse.isEmpty()) {
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buffers.responseContent += tempResponse;
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emit partialResponseReceived(requestId, tempResponse);
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}
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if (isDone) {
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emit fullResponseReceived(requestId, buffers.responseContent);
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m_dataBuffers.remove(requestId);
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processStreamChunk(requestId, chunk);
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}
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}
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@ -249,17 +249,161 @@ void OpenAIProvider::onRequestFinished(
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if (!success) {
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LOG_MESSAGE(QString("OpenAIProvider request %1 failed: %2").arg(requestId, error));
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emit requestFailed(requestId, error);
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} else {
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if (m_dataBuffers.contains(requestId)) {
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const LLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
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if (!buffers.responseContent.isEmpty()) {
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emit fullResponseReceived(requestId, buffers.responseContent);
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cleanupRequest(requestId);
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return;
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}
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if (m_messages.contains(requestId)) {
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OpenAIMessage *message = m_messages[requestId];
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if (message->state() == LLMCore::MessageState::RequiresToolExecution) {
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LOG_MESSAGE(QString("Waiting for tools to complete for %1").arg(requestId));
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m_dataBuffers.remove(requestId);
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return;
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}
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}
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if (m_dataBuffers.contains(requestId)) {
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const LLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
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if (!buffers.responseContent.isEmpty()) {
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LOG_MESSAGE(QString("Emitting full response for %1").arg(requestId));
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emit fullResponseReceived(requestId, buffers.responseContent);
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}
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}
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cleanupRequest(requestId);
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}
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void OpenAIProvider::onToolExecutionComplete(
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const QString &requestId, const QHash<QString, QString> &toolResults)
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{
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if (!m_messages.contains(requestId) || !m_requestUrls.contains(requestId)) {
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LOG_MESSAGE(QString("ERROR: Missing data for continuation request %1").arg(requestId));
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cleanupRequest(requestId);
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return;
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}
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LOG_MESSAGE(QString("Tool execution complete for OpenAI request %1").arg(requestId));
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OpenAIMessage *message = m_messages[requestId];
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QJsonObject continuationRequest = m_originalRequests[requestId];
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QJsonArray messages = continuationRequest["messages"].toArray();
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messages.append(message->toProviderFormat());
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QJsonArray toolResultMessages = message->createToolResultMessages(toolResults);
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for (const auto &toolMsg : toolResultMessages) {
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messages.append(toolMsg);
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}
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continuationRequest["messages"] = messages;
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LOG_MESSAGE(QString("Sending continuation request for %1 with %2 tool results")
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.arg(requestId)
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.arg(toolResults.size()));
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sendRequest(requestId, m_requestUrls[requestId], continuationRequest);
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}
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void OpenAIProvider::processStreamChunk(const QString &requestId, const QJsonObject &chunk)
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{
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QJsonArray choices = chunk["choices"].toArray();
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if (choices.isEmpty()) {
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return;
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}
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QJsonObject choice = choices[0].toObject();
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QJsonObject delta = choice["delta"].toObject();
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QString finishReason = choice["finish_reason"].toString();
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OpenAIMessage *message = m_messages.value(requestId);
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if (!message) {
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message = new OpenAIMessage(this);
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m_messages[requestId] = message;
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LOG_MESSAGE(QString("Created NEW OpenAIAPIMessage for request %1").arg(requestId));
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}
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if (delta.contains("content") && !delta["content"].isNull()) {
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QString content = delta["content"].toString();
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message->handleContentDelta(content);
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LLMCore::DataBuffers &buffers = m_dataBuffers[requestId];
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buffers.responseContent += content;
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emit partialResponseReceived(requestId, content);
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}
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if (delta.contains("tool_calls")) {
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QJsonArray toolCalls = delta["tool_calls"].toArray();
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for (const auto &toolCallValue : toolCalls) {
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QJsonObject toolCall = toolCallValue.toObject();
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int index = toolCall["index"].toInt();
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if (toolCall.contains("id")) {
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QString id = toolCall["id"].toString();
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QJsonObject function = toolCall["function"].toObject();
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QString name = function["name"].toString();
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message->handleToolCallStart(index, id, name);
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}
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if (toolCall.contains("function")) {
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QJsonObject function = toolCall["function"].toObject();
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if (function.contains("arguments")) {
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QString args = function["arguments"].toString();
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message->handleToolCallDelta(index, args);
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}
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}
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}
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}
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if (!finishReason.isEmpty() && finishReason != "null") {
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for (int i = 0; i < 10; ++i) {
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message->handleToolCallComplete(i);
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}
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message->handleFinishReason(finishReason);
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handleMessageComplete(requestId);
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}
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}
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void OpenAIProvider::handleMessageComplete(const QString &requestId)
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{
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if (!m_messages.contains(requestId))
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return;
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OpenAIMessage *message = m_messages[requestId];
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if (message->state() == LLMCore::MessageState::RequiresToolExecution) {
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LOG_MESSAGE(QString("OpenAI message requires tool execution for %1").arg(requestId));
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auto toolUseContent = message->getCurrentToolUseContent();
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if (toolUseContent.isEmpty()) {
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LOG_MESSAGE(QString("No tools to execute for %1").arg(requestId));
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return;
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}
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for (auto toolContent : toolUseContent) {
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m_toolsManager->executeToolCall(
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requestId, toolContent->id(), toolContent->name(), toolContent->input());
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}
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} else {
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LOG_MESSAGE(QString("OpenAI message marked as complete for %1").arg(requestId));
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}
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}
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void OpenAIProvider::cleanupRequest(const LLMCore::RequestID &requestId)
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{
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LOG_MESSAGE(QString("Cleaning up OpenAI request %1").arg(requestId));
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if (m_messages.contains(requestId)) {
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OpenAIMessage *message = m_messages.take(requestId);
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message->deleteLater();
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}
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m_dataBuffers.remove(requestId);
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m_requestUrls.remove(requestId);
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m_originalRequests.remove(requestId);
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m_toolsManager->cleanupRequest(requestId);
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}
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} // namespace QodeAssist::Providers
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