Usage Token Dashboard

Check your token usage for your API calls. Check your token usage for your API calls. Skip to main content. English. English. The usage dashboard displays your API usage during the current and past monthly billing cycles. To display the usage of a particular user of your organizational account, you can use the dropdown next to quotDaily usage

How do I check my token usage? Usage dashboard Usage data from the API response. You can also access token usage data through the API. Token usage information is now included in responses from completions, edits, and embeddings endpoints. Information on prompt and completion tokens is contained in the quotusagequot key

It is 100 by default. Sending more traffic will increase accuracy of your metrics however, it will also increase your monitoring cost. Keep in mind that graphs shown in the monitoring dashboard are based on your sampling rate, so if your sampling rate is 50 you should double the number of requests, token usage, etc. to estimate the actual

The AI Usage Monitoring Dashboard is designed to provide real-time insights into your AI usage, allowing you to actively manage essential resources such as token consumption, costs, rate limits, requests, and team members. It streamlines the process of managing API keys and offers tools to analyze and adjust your usage patterns for optimal

A Tokens Usage Dashboard is a tool that allows users to monitor and manage the token usage of their OpenAI API calls. Such a dashboard plays a significant role in providing insights into token usage and supporting decision-making processes related to OpenAI API use. Here are some key benefits of implementing a Tokens Usage Dashboard

For most of our users, the default usage and cost dashboards are sufficient. However, if you need more detailed data or a custom dashboard, you can use the Completions Usage API. Visualize token usage over time using matplotlib. Use grouping by model to analyze token usage across different models.

To see the AI Foundry metrics dashboard from the Azure portal, select the overview pane and Go to Azure AI Foundry portal. Under tools, select the metrics dashboard. The dashboards are grouped into four categories HTTP Requests, Tokens-Based Usage, PTU Utilization, and Fine-tuning. Data collection and routing in Azure Monitor

This dashboard is a treasure trove of information, offering visualizations of your token usage over time. Key metrics to monitor include Total Tokens The aggregate number of tokens processed by your models Prompt Tokens Tokens used in the input prompts sent to the model Completion Tokens Tokens generated by the model in response to prompts

Amazon Bedrock's pay-per-use pricing model, based on input and output tokens processed, necessitates a robust monitoring solution that addresses both these challenges across diverse applications and use cases. Without such a system, organizations struggle with effective cost management, resource allocation, and usage metering. For instance, a SaaS provider offering an AI-powered document

Can I use the new Usage Dashboard to view Tokens Per Minute TPM data? Yes. Usage data non billing data now provides interval selection. Inside the detail pages , users will be able to select 1 minute data granularity to view TPM for any of the API capabilities. The Usage Dashboard does not consolidate cost or usage data across