In today's digitally connected world, the emergence of conversational artificial intelligence powered by generative language models has ushered in a new era of human-computer interaction. Chatbots using these technologies are increasingly being used in a variety of scientific as well as social domains. These intelligent conversational agents, powered by advances in generative language models, offer a wide range of applications from customer support and healthcare to software development and education. This paper discusses the development of a microservice that works as an interface to ChatGPT through the GPT API. The goal is to facilitate the integration of next generation chatbots to distributed architecture services. Access to the microservice is implemented using an Advanced Message Queuing Protocol (AMQP) message broker. To conduct the experiments, a microservice was developed that provides a REST interface to the proposed microservice for clients that do not support the AMQP protocol.
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Ivanov et al. (2024) studied this question.
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