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AI Usage

Monitor your AI credit consumption with detailed usage charts and metrics. Understanding your AI usage helps you optimize consumption, plan credit purchases, and manage costs effectively. Access usage information through Settings > AI > AI Credit Usage.

Viewing AI Usage

Navigate to Settings > AI > AI Credit Usage to view comprehensive usage information:

Usage Dashboard: The AI Usage page displays charts and metrics showing your credit consumption over time.

Usage Charts

Chart Types

The usage dashboard provides visual representations of your AI consumption:

Time Series Charts: Show credit usage over time periods (daily, weekly, monthly)

Usage Trends: Identify patterns in your AI usage to understand consumption habits

Peak Usage Periods: See when you use the most credits to optimize scheduling

Chart Features

  • Interactive Elements: Hover over data points for detailed information
  • Time Range Selection: Filter charts by different time periods
  • Comparison Views: Compare usage across different time periods
  • Visual Indicators: Color coding and markers highlight important metrics

Understanding Usage Metrics

Credit Consumption

Credits Used: The total number of AI credits consumed during the selected time period.

Factors Affecting Consumption:

  • Number of tokens in requests and responses
  • Selected AI model (different models have different credit costs)
  • Amount of context provided
  • Complexity of queries

Usage Patterns

Daily Patterns: Identify which days of the week you use the most credits

Hourly Patterns: See peak usage times throughout the day

Model Usage: Understand which AI models consume the most credits

Feature Usage: See which AI features (Chat, Summaries, Enhanced Search) use the most credits

Filtering Usage Data

Time Range Filters

Filter by Period: Select different time ranges to analyze:

  • Last 7 Days: Short-term usage patterns
  • Last 30 Days: Monthly consumption trends
  • Last 90 Days: Quarterly usage analysis
  • Custom Range: Select specific date ranges

Usage Type Filters

Filter usage by:

  • AI Model: See consumption by specific models
  • Feature Type: Filter by AI Chat, Summaries, Enhanced Search
  • Site: View usage per site (if applicable)
  • User: For organizations, filter by user

Advanced Filtering

Combine multiple filters to get detailed insights:

  • Time range + Model type
  • Feature + Site combination
  • User + Time period analysis

Usage Optimization Tips

Monitor Regularly

Regular Review: Check usage charts regularly to identify trends and patterns.

Set Alerts: Monitor usage to stay within budget and plan limits.

Track Changes: Notice how usage changes when you enable new features or change models.

Optimize Model Selection

Model Efficiency: Different models have different credit costs. Consider using more efficient models for routine tasks.

Model Selection: Use appropriate models for each task - don't always use the most powerful (and expensive) model.

Default Settings: Configure default models that balance capability and cost.

Manage Context Usage

Relevant Context Only: Include only necessary context in AI queries to reduce token usage.

Efficient Queries: Structure queries efficiently to minimize token consumption.

Batch Operations: When possible, combine related queries to reduce overhead.

Feature Usage

Selective Features: Enable only the AI features you actually use.

Site-Level Control: Configure AI features at the site level to control usage per collaboration space.

Organization Policies: Understand how organization policies affect your usage options.

Understanding Credit Costs

Token-Based Pricing

Credits are consumed based on:

  • Input Tokens: Text sent to the AI model
  • Output Tokens: Text generated by the AI model
  • Context Tokens: Supporting content included in queries

Model Differences

Different AI models have different credit costs:

  • Efficient Models: Lower credit cost per token
  • Advanced Models: Higher credit cost but more capable
  • Model Selection: Choose models that match your needs and budget

Usage Calculation

Credit consumption = (Input Tokens + Output Tokens + Context Tokens) × Model Credit Rate

Usage Alerts and Limits

Low Credit Alerts

Credit Warnings: The system alerts you when your credit balance is low.

Alert Thresholds: Warnings appear when credits fall below certain levels.

Upgrade Prompts: Guidance is provided for purchasing additional credits when needed.

Plan Limits

Monthly Allocations: Understand your plan's monthly credit allocation.

Overage Handling: Know what happens when you exceed plan limits.

Upgrade Options: Consider upgrading plans for higher credit allocations.

Organization Usage

For organization members:

Organization-Level Usage

Aggregate Metrics: View organization-wide usage statistics (if permitted).

Per-User Breakdown: See individual user consumption (for administrators).

Policy Impact: Understand how organization policies affect usage.

Billing Considerations

Credit Allocation: Understand how credits are allocated within organizations.

Third-Party Usage: See usage by collaborators if organization billing is enabled.

Cost Management: Monitor organization-wide costs and optimize accordingly.

Best Practices

Regular Monitoring

Weekly Reviews: Check usage weekly to stay informed.

Monthly Analysis: Perform monthly analysis to identify trends.

Budget Planning: Use usage data to plan credit purchases.

Optimization

Efficient Queries: Write efficient queries to minimize token usage.

Appropriate Models: Use the right model for each task.

Feature Management: Enable only needed features.

Planning

Usage Forecasting: Use historical data to forecast future needs.

Credit Purchasing: Plan credit purchases based on usage patterns.

Budget Management: Set usage budgets and monitor against them.