Resource Management
Managing tokens, credits, and computational resources
Verdent for VS Code uses a credit-based system to manage computational resources. Understanding credit usage, quotas, and monitoring helps you optimize performance and manage costs effectively.
Credit & Token Monitoring
Credit Balance (In VS Code)
Monitor your credit balance through the User Center in VS Code:
- Click the User Center button in the top bar of the Verdent panel
- View account name, current plan, and credit balance
- See total credits (subscription + top-ups), credits left in subscription, and remaining top-up credits
- Credit balance updates in real-time as you use Verdent
Token Usage Monitoring (Website Dashboard)
For detailed token usage analytics and monitoring:
Access Dashboard
Visit the Verdent Dashboard on the official website
View Token Usage
Check detailed token consumption across all your sessions and projects
Analyze Patterns
Review usage patterns, model selection impact, and cost optimization opportunities
Credit balance (available in VS Code User Center) shows your remaining credits. Token usage details (available on website Dashboard) show granular consumption analytics for optimization.
Plans, Top-Ups, and Billing Cycle
Shared subscription rules now live in Account & Billing. Use those pages for pricing tiers, top-ups, billing-cycle refresh, and what affects credit consumption across products.
Credits & Plans
Shared pricing tiers, top-ups, and credit usage basics
Billing Cycle & Rollover
Credit refresh timing and rollover rules
Managing Long-Running Tasks
Effective resource management requires strategic session planning. See Best Practices: Context for detailed guidance on breaking tasks into chunks, monitoring performance, and context window optimization (200K vs 1M tokens).
Quick Tips:
- Use Plan Mode for complex changes to understand scope before execution
- Start fresh sessions between major tasks to reset context and tool approvals
- Complete atomic work units (feature → test → commit), then start fresh sessions
- Watch for slower responses or less accurate outputs as sessions grow longer