Features

Dashboards & Analytics

Dashboards & Analytics

Dashboards very important to visually display essential data, information in a user-friendly and easy-to-understand format. It displays analytical data which helps teams make informed decisions, optimize processes, and uncover valuable patterns within their data.

Orquesta makes uses of a line chart to display the analytics of all the actions performed such as the request, cost, latency and the score on the dashboard.

The dashboard consists of the following:

Refresh

The refresh button allows the you to update or reload the chart's data. The primary purpose of this button is to provide a way for you to obtain the latest or updated information without having to navigate away from the chart and return to it.

Time interval

The time interval selector allows you to interactively choose and set a specific time interval or range of time within the chart's data.

Analytics chart

The analytic chart in Orquesta is a line chart which displays the important and key metrics for every interaction with large language model (LLM). The chart displays daily requests, cost, latency (p99 and p50), and the score for each interaction with the LLM.

Below the analytics chart, you can check requests, cost ($), tokens, latency and score for your models, prompts and endpoints.

Wrap up

In conclusion, we explored the capabilities of Orquesta's dashboard and analytics throughout this guide, it became evident that it offers a powerful solution for businesses seeking comprehensive insights into their daily operations such as costs, requests and latency etc. to better maximize usage and minimize wastage of resources.

Orquesta's user-friendly interface and robust data visualization features makes it easy to track daily usage of resources and also keep track of requests made to each LLMs and see the total amount spent, which is a very valuable asset for decision-makers.

Get started today.

Check out Orquesta documentation.

Follow us on Twitter, LinkedIn and GitHub.

Dashboards & Analytics

Dashboards very important to visually display essential data, information in a user-friendly and easy-to-understand format. It displays analytical data which helps teams make informed decisions, optimize processes, and uncover valuable patterns within their data.

Orquesta makes uses of a line chart to display the analytics of all the actions performed such as the request, cost, latency and the score on the dashboard.

The dashboard consists of the following:

Refresh

The refresh button allows the you to update or reload the chart's data. The primary purpose of this button is to provide a way for you to obtain the latest or updated information without having to navigate away from the chart and return to it.

Time interval

The time interval selector allows you to interactively choose and set a specific time interval or range of time within the chart's data.

Analytics chart

The analytic chart in Orquesta is a line chart which displays the important and key metrics for every interaction with large language model (LLM). The chart displays daily requests, cost, latency (p99 and p50), and the score for each interaction with the LLM.

Below the analytics chart, you can check requests, cost ($), tokens, latency and score for your models, prompts and endpoints.

Wrap up

In conclusion, we explored the capabilities of Orquesta's dashboard and analytics throughout this guide, it became evident that it offers a powerful solution for businesses seeking comprehensive insights into their daily operations such as costs, requests and latency etc. to better maximize usage and minimize wastage of resources.

Orquesta's user-friendly interface and robust data visualization features makes it easy to track daily usage of resources and also keep track of requests made to each LLMs and see the total amount spent, which is a very valuable asset for decision-makers.

Get started today.

Check out Orquesta documentation.

Follow us on Twitter, LinkedIn and GitHub.

Dashboards & Analytics

Dashboards very important to visually display essential data, information in a user-friendly and easy-to-understand format. It displays analytical data which helps teams make informed decisions, optimize processes, and uncover valuable patterns within their data.

Orquesta makes uses of a line chart to display the analytics of all the actions performed such as the request, cost, latency and the score on the dashboard.

The dashboard consists of the following:

Refresh

The refresh button allows the you to update or reload the chart's data. The primary purpose of this button is to provide a way for you to obtain the latest or updated information without having to navigate away from the chart and return to it.

Time interval

The time interval selector allows you to interactively choose and set a specific time interval or range of time within the chart's data.

Analytics chart

The analytic chart in Orquesta is a line chart which displays the important and key metrics for every interaction with large language model (LLM). The chart displays daily requests, cost, latency (p99 and p50), and the score for each interaction with the LLM.

Below the analytics chart, you can check requests, cost ($), tokens, latency and score for your models, prompts and endpoints.

Wrap up

In conclusion, we explored the capabilities of Orquesta's dashboard and analytics throughout this guide, it became evident that it offers a powerful solution for businesses seeking comprehensive insights into their daily operations such as costs, requests and latency etc. to better maximize usage and minimize wastage of resources.

Orquesta's user-friendly interface and robust data visualization features makes it easy to track daily usage of resources and also keep track of requests made to each LLMs and see the total amount spent, which is a very valuable asset for decision-makers.

Get started today.

Check out Orquesta documentation.

Follow us on Twitter, LinkedIn and GitHub.

Start powering your SaaS with LLMs

Start

powering

your SaaS

with LLMs

Start powering your SaaS with LLMs