Conversations
This section monitors user interaction trends over a selected time period.- Unique Users per Day: A line graph displaying the daily count of unique users engaging with the platform. This metric helps track active user trends.
- Chat Interactions per Day: A line graph showing the number of chat interactions per day. This reflects user activity levels and engagement with AI-powered chat features.
Cost Analysis
This section offers insights into the expenditure associated with the usage of Large Language Models (LLMs).- Cost Analysis by Currency: A line chart representing the cost incurred over time, broken down by currency. This visual allows for tracking fluctuations in platform expenditure.
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Total Cost per Vendor and Model:
A table summarizing costs by vendor and model, including:
- Vendor: The provider of the LLM (e.g., Anthropic, OpenAI).
- Model: The specific LLM used (e.g.,
claude-3.5,gpt-4.0). - Total Cost: The cumulative cost for the model.
- Currency: The unit of currency in which the cost is calculated (e.g., USD).
Model and Tool Usage
This section highlights the utilization statistics for LLM models and tools within the platform.- Most Used LLM Models: A bar chart showcasing the frequency of usage for different LLM models. This data provides insights into which models are most relied upon.
- Tool Usage Statistics: A bar chart detailing the frequency of tool usage across various functionalities, such as vector searches, sandbox environments, and data management. This helps identify popular tools and areas for optimization.
Additional Features
- Date Selector: Located in the top-right corner, this allows users to define a custom date range for analyzing trends across the dashboard.
- Feedback Button: A floating button labeled “Feedback” to enable users to report issues or provide suggestions regarding the dashboard.
This dashboard serves as a comprehensive monitoring and analytical tool for administrators and users to evaluate platform performance, user engagement, and cost efficiency.