Opting for a standalone GPT-4 chatbot might initially seem more cost-effective, but this is not always the case in the long term. Integrating the Oswald platform with a LLM like GPT-4 offers a significantly better ROI for several reasons. Firstly, this integration guards against prompt injections, which can unexpectedly increase token usage (and thus, cost). Remember, each token generated incurs a fee.
Moreover, standard conversation flows, such as your chatbot's initial greeting, are more efficiently managed in Oswald. When these responses are pre-defined, you do not need to consume valuable tokens. Automating these recurring responses saves costs by reducing unnecessary token usage.
Another key advantage is the control you have over the chatbot's scope. Oswald ensures your chatbot remains within predefined parameters, avoiding the risk of generating irrelevant or off-topic responses, which can also lead to increased token usage.
And lastly, we're all about transparency, so check out our pricing page for the cost of Oswald (excluding the LLM integration). The cost associated with the LLM license will vary depending on the volume of messages processed. We're more than happy to provide a customized estimate based on your expected message volume.