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Settings & Configuration

Set Admin Performance Overrides

Overview

Flow ID: set-admin-overrides
Category: Settings & Configuration
Estimated Duration: 1-2 minutes
User Role: Power Users / Administrators
Complexity: Simple

Purpose: Configure advanced system-wide performance settings including CPU worker count for parallel processing and default chat template. These settings affect all users and all operations.

Related Flows

Prerequisites

Before starting, users must have:

  • Understanding of performance implications
  • Knowledge of system hardware (CPU cores)
  • Admin access or confidence to change system settings

Step-by-Step Flow

Main Path (Happy Path)

Step 1: Navigate to Admin Overrides

  • User Action: Settings > Admin Overrides tab
  • System Response: Admin settings page displays
  • UI Elements Visible:
    • "Admin Overrides" tab highlighted
    • Warning banner: "Admin settings affect all users and operations"
    • Performance section
    • Workflow section

Step 2: Review Current Settings

  • User Action: Note current values
  • UI Elements Visible:
    • Performance Section:
      • "Additional CPU Workers" input field
      • Current value shown (e.g., "8")
      • Available cores display: "Available CPU Cores: 16"
    • Workflow Section:
      • "Default Chat Template" dropdown
      • Current selection shown

Step 3: Adjust CPU Workers

  • User Action: Change number in CPU workers field
  • System Response:
    • Value updates
    • Validation ensures within range (1 to max cores)
  • UI Elements Visible:
    • Number input showing new value
    • Range hint: "1 to 16" or similar
  • Recommendation: Set to number of available cores minus 2-4 for system overhead

Step 4: Select Default Template (Optional)

  • User Action: Open default template dropdown and select template
  • System Response:
    • Template selected
    • This template will be used when creating new chats
  • UI Elements Visible:
    • Dropdown with template options:
      • "No Default Template"
      • Available templates listed

Step 5: Save Changes

  • User Action: Click "Save" button (if not auto-save)
  • System Response:
    • Settings saved
    • Success notification
    • Changes take effect
  • UI Elements Visible:
    • Success message
    • Saved values confirmed

Final Step: Admin Settings Configured

  • Success Indicator:
    • Settings saved successfully
    • Take effect immediately for new operations
  • System State Change:
    • Worker count updated globally
    • Future embedding operations use new worker count
    • New chats use selected default template
  • Next Possible Actions:
    • Test performance with new settings
    • Run jobs to verify worker count optimization
    • Create chats to verify template behavior

Error States & Recovery

Error 1: Worker Count Too High

Cause: Set higher than available cores
User Experience:

  • Warning or auto-constrains to maximum

Recovery Steps:

  1. System prevents invalid values
  2. Set to reasonable number (cores minus 2-4)

Version History

Date Version Author Changes
2025-10-04 1.1 Iternal Technologies Initial documentation

Notes

Worker Count Recommendations:

  • Conservative: cores - 4 (leaves room for system)
  • Balanced: cores - 2
  • Aggressive: cores - 1 (may impact responsiveness)

Best Practices:

  • Test with benchmarks after changing
  • Monitor system responsiveness
  • Leave headroom for OS and other apps

Common User Questions:

  • "How many workers should I use?" - Start with cores minus 2
  • "Will more workers always be faster?" - Not always; diminishing returns and overhead
  • "Can I change per job?" - No, system-wide setting

Trigger

What initiates this flow:

  • User manually initiates

Specific trigger: Administrator wants to optimize system performance or set organizational defaults.

User Intent Analysis

Primary Intent

Optimize system-wide performance by configuring worker counts and default templates.

Secondary Intents

  • Maximize hardware utilization
  • Standardize workflows with default templates
  • Fine-tune for specific use cases
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