ChatGPT RESTful API Client | Qt OpenAPI | Qt 6.11.1
Description: Example of how to use the OpenAPI generator to create a RESTful API client for communicating with OpenAI models.

- Qt 6.11
- Qt OpenAPI
- Qt OpenAPI Examples
- ChatGPT RESTful API Client
- Qt 6.11.1 Reference Documentation

# ChatGPT RESTful API Client

Example of how to use the OpenAPI generator to create a RESTful API client for communicating with OpenAI models.

This example uses the latest OpenAPI specification for the OpenAI API for creating RESTful API client code. Since this is only an example, it does not implement the entire set of models and operations described in the official OpenAI specification. In particular, the example is limited to two operations described in the `response_api.yaml` file:

- listModels - receives the list of available models.
- createResponse - sends a user request to the chosen model, receives a response message.

#### Running the Example

To run the example from Qt Creator, open the Welcome mode and select the example from Examples. For more information, see Qt Creator: Tutorial: Build and run.

Note: The example requires a private OpenAI key in order to interact with the models. Use the `CHAT_OPENAI_KEY` environment variable to specify the key. If you run the example from `Qt Creator`, it can be done under `Projects -> Run Settings -> Environment`.

#### Application functionality

The example allows you to choose an OpenAI model from the list of available models and then chat with it. The communication is provided in four configuration modes:

- Wizard - The setup behaves like a wizard and prefers discussing topics related to magic.
- Scientist - The setup behaves like Albert Einstein and enjoys discussing physics.
- Regular Mode - Standard ChatGPT setup with no additional features.
- Your choice - you can create a custom description for the ChatGPT behavior.

Once a mode is selected, the chat page appears.

#### Generating client code from an OpenAPI specification

The Qt 6 OpenAPI generator is invoked from the `CMakeLists.txt` file to generate client code from the `response_api.yaml` specification by calling the `qt_add_openapi_client()` function.

     qt_add_library(openAIResponseApi)
     qt_add_openapi_client(openAIResponseApi
         SPEC_FILE
             ${CMAKE_CURRENT_SOURCE_DIR}/response_api.yaml
     )

The generated API classes `ResponsesApi` and `ModelsApi` handle all the low-level HTTP details:

- Server configuration
- HTTP request construction for all standard HTTP methods
- Serialization of input parameters according to the specification
- Deserialization of server responses into typed objects
- Success and error reporting through Qt signals

Now, all you need to do is send a request to the model by calling the `createResponse()` operation of the `ResponsesApi` class and parse its response, as shown below:

     m_responseApi->createResponse(response, this, [&](const QRestReply &reply,
                                                       const Response &summary) {
         if (!reply.isSuccess()) {
             qWarning() << "createResponse:" << reply.errorString() << reply.error();
         } else {
             // To save the context of conversation with the openAI model,
             // we need to track returning ResponseId of the last model's message.
             // Context becomes irrelevant after switching to  the other model. If the model
             // doesn't know the context id, it will response like if the ResponseId is empty.
             m_responseId = summary.getIdValue();
             const QList<OutputMessage> outputMessage = summary.getOutputValue();
             for (qsizetype msgIndex = 0; msgIndex < outputMessage.size(); msgIndex++) {
                 const QList<OutputTextContent> messages
                     = outputMessage.at(msgIndex).getContentValue();
                 for (qsizetype contentIndex = 0; contentIndex < messages.size(); contentIndex++)
                     emit responseReady(messages.at(contentIndex).getTextValue());
             }
         }
     });

#### Exposing generated APIs to QML

The helper class `OpenAIChatManager` exposes the generated API classes `ResponsesApi` and `ModelsApi` to QML. It is defined in `openaichatmanager.h`.

The helper class uses the QML_ELEMENT and QML_SINGLETON macros and registers the underlying C++ instance as a singleton, allowing QML to access the same object while ownership remains in C++:

     class OpenAIChatManager : public QObject
     {
         Q_OBJECT
         QML_ELEMENT
         QML_SINGLETON

         Q_PROPERTY(QString modelName READ modelName WRITE setModelName NOTIFY modelNameChanged FINAL)
         Q_PROPERTY(QString userRequest READ userRequest
                    WRITE setUserRequest NOTIFY userRequestChanged FINAL)
         Q_PROPERTY(QStringList modelList READ modelList
                    WRITE setModelList NOTIFY modelListChanged FINAL)
         Q_PROPERTY(CharacterMode characterId READ characterId
                    WRITE setCharacterId NOTIFY characterIdChanged FINAL)
         Q_PROPERTY(QString customUserCharacter READ customUserCharacter
                    WRITE setCustomUserCharacter NOTIFY customUserCharacterChanged FINAL)

The `createResponse()` operation is exposed via the invocable function of the `OpenAIChatManager` singleton:

         Q_INVOKABLE void sendUserRequest();

For more details, see the Qt QML documentation on registering a class to provide singletons.

#### Using the APIs from QML

Once registered, the singleton is available globally in QML. This allows QML components to access `ResponsesApi` and `ModelsApi` by using the singleton methods, as shown below:

     function editingFinished() {
         var messageObject = {"name": "Me", "message": messageField.text };
         conversationModel.append(messageObject);
         OpenAIChatManager.userRequest = messageField.text;
         OpenAIChatManager.sendUserRequest();
         messageField.text = "";
     }

#### Source files

Example project @ code.qt.io

See also All Qt Examples and ColorPalette RESTful API client.