Resource Management

Documentation Index

Fetch the complete documentation index at: https://docs.verdent.ai/llms.txt

Use this file to discover all available pages before exploring further.

Verdent uses a credit-based system to manage computational resources. Understanding credit usage and monitoring helps you optimize costs effectively.

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Credit Monitoring

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Web Dashboard

Monitor your credit balance through User Menu → Dashboard or visit verdent.ai/dashboard:

• Account name, current plan, and credit balance
• Total credits (subscription + top-ups) and remaining credits
• Detailed token consumption across sessions
• Usage patterns and trends
• Model selection impact
• Cost optimization opportunities

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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.

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Parallel Agent Usage

Each workspace with an active task consumes credits independently: To optimize parallel usage:

• Complete and rebase workspaces promptly
• Delete workspaces when done
• Idle workspaces (no active conversation) don’t consume credits

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Managing Long-Running Tasks

Quick Tips:

• Use Plan Mode to understand scope before execution
• Start fresh tasks between major work to reset context
• Complete atomic work units (feature → test → commit)
• Watch for slower responses as sessions grow longer

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FAQs

Why are my credits depleting faster than expected?

Common causes:

• Multiple parallel workspaces - Each active workspace uses credits independently
• Large context - Long conversations use more tokens
• Frontier models - Higher cost than efficient models

Check your active workspace count in All Workspaces.

Do idle workspaces consume credits?

No. Workspaces with no active conversation don’t consume credits. Credits are only used when making AI requests.

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See Also