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AI Preferences
Default Provider
Autocomplete Settings
Chat Preferences
Profiling Preferences
Auto-Profile Settings
Display Options
Data Retention
Editor Preferences
Code Formatting
Performance Settings
Visual Customization
Hardware Detection Settings
GPU Configuration
CUDA Environment
Privacy & Security
Data Handling
API Key Management
Configuration
Editor Settings
Customize RightNow AI preferences and behavior
AI Preferences
Default Provider
Set your preferred AI provider for consistent experience across features.
Autocomplete Settings
Enable/disable
AI-powered completions
Context window
: Adjust how much code context to send to AI
Trigger delay
: Configure autocomplete response timing
Chat Preferences
Model selection
: Choose specific models for chat interactions
Message history
: Set conversation retention limits
System prompts
: Customize AI behavior and responses
Profiling Preferences
Auto-Profile Settings
Automatic profiling
: Profile kernels when executed
Metrics selection
: Choose which NCU metrics to display
Performance thresholds
: Customize color-coding thresholds (🟢 🟡 🔴)
Display Options
CodeLens metrics
: Show/hide inline performance data
Gutter buttons
: Enable/disable play buttons in editor margins
Profiling panel
: Configure dedicated results view
Data Retention
Historical data
: Set profiling session retention period
Export options
: Configure data export formats
Team sharing
: Enable/disable profiling data collaboration
Editor Preferences
Code Formatting
Auto-save
: Enable for seamless profiling workflow
Format on save
: Keep CUDA code properly formatted
IntelliSense
: Enable for enhanced CUDA syntax support
Performance Settings
Memory usage
: Optimize for large codebases
Indexing
: Configure workspace scanning preferences
Cache management
: Control temporary file storage
Visual Customization
Theme preferences
: Light/dark mode compatibility
Font settings
: Optimize for code readability
Layout options
: Customize panel arrangements
Hardware Detection Settings
GPU Configuration
Auto-detection
: Enable automatic GPU hardware detection
Manual override
: Specify GPU models and capabilities
Multi-GPU
: Configure device selection preferences
CUDA Environment
Toolkit detection
: Automatic vs manual path configuration
Compiler settings
: nvcc flags and optimization levels
Debug options
: Enable detailed profiling diagnostics
Privacy & Security
Data Handling
Local processing
: Prefer local models when available
Network usage
: Control cloud provider communications
Telemetry
: Customize usage analytics reporting
API Key Management
Secure storage
: Encrypted local credential storage
Key rotation
: Automatic API key update notifications
Access control
: Per-project API key configurations
Access all settings through
Settings
→
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or use the Command Palette:
RightNow: Open Settings
CUDA Setup
Troubleshooting
Assistant
Responses are generated using AI and may contain mistakes.