AWS QnABot is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.
Would like to have a metrics in the OpenSearch dashboard of the qnabot to show the cost incurred by the bot in real-time along with the number of tokens (input and output) used by the foundational model used.
A OpenSearch visualization using qnabot logs showing the cost incurred and tokens consumed by the bot to analysts to make data driven decisions and tweaks to the bot.
Would like to have a metrics in the OpenSearch dashboard of the qnabot to show the cost incurred by the bot in real-time along with the number of tokens (input and output) used by the foundational model used.
A OpenSearch visualization using qnabot logs showing the cost incurred and tokens consumed by the bot to analysts to make data driven decisions and tweaks to the bot.