Skip to main content Netra is a comprehensive platform for AI application observability, designed to provide deep insights into your AI systems while ensuring data privacy and security. The platform consists of:
SDKs : Multi-language libraries for instrumenting your AI applications
Dashboard : Web-based interface for monitoring and analyzing AI system performance
Analytics Engine : Advanced analysis capabilities for AI-specific metrics
Security Suite : Comprehensive protection against AI-specific security threats
Netra provides a complete solution for monitoring, analyzing, and securing your AI applications:
SDKs (Current and Future)
Python SDK (Current): Comprehensive library for Python-based AI applications
Future SDKs (Planned):
JavaScript/TypeScript SDK
Each SDK is designed to work seamlessly with the Netra platform, providing consistent observability across different programming languages and environments.
Unified Dashboard
The Netra dashboard offers a centralized interface for:
Real-time monitoring of AI system performance
Detailed analytics and visualization
Security threat detection and response
Alert management
Team collaboration features
AI-Specific Analytics
Netra’s analytics engine provides specialized insights for AI applications:
LLM performance metrics
Vector database optimization
Prompt engineering analysis
Model behavior patterns
Resource utilization
Cost optimization recommendations
Security Suite
Comprehensive security features including:
PII detection and protection
Prompt injection prevention
Key Capabilities
Comprehensive AI Observability
Netra provides end-to-end visibility across your AI infrastructure:
LLM Call Monitoring : Track interactions with Large Language Models across multiple providers
Vector Database Operations : Monitor vector database performance and patterns
HTTP Request Tracing : Track internal and external communications
Resource Utilization : Monitor compute and memory usage
Cost Analysis : Track and optimize AI-related expenses
Privacy & Security
Advanced protection features:
Multi-Engine PII Detection : Default, Presidio, and custom Regex patterns
Configurable Actions : Masking, blocking, or flagging sensitive data
Comprehensive Coverage : Names, addresses, financial info, medical records
Real-time Processing : Immediate detection and response
Context-aware Detection : Smart PII recognition
Security Scanning : Prompt injection prevention
Multi-Language Support
Current and planned language support:
Current : Python
Planned : JavaScript/TypeScript
Integration Capabilities
Supports integration with:
LLM Providers : OpenAI, Anthropic, Google GenAI, Mistral, and more
Vector Databases : Weaviate, Qdrant, Pinecone, and others
AI Frameworks : LangChain, LlamaIndex, Haystack, and more
Observability Backends : OpenTelemetry-compatible systems
Enhanced Insights
Powerful analytics features:
Session Management : Track user interactions with custom attributes
Event Logging : Record business events with detailed attributes
Span Tracking : Detailed tracking of API calls and operations
Cost Analysis : Track and optimize AI-related expenses
Performance Metrics : Monitor LLM and vector database performance
Flexible Configuration
Configurable options:
Environment Variables : Easy management across environments
Programmatic Configuration : Fine-grained control
Configuration Precedence : Clear hierarchy of settings
Custom Instrumentation : Select specific integrations
Security Policies : Define and enforce security rules
Why Choose Netra?
Unified Platform : Single solution for AI observability
Multi-Language Support : Works with various programming languages
AI-Specific Analytics : Specialized metrics and insights
Advanced Security : Comprehensive protection
Scalable Architecture : Handles applications of any size
Open Standards : Built on OpenTelemetry
Customizable : Tailored to your needs
Enterprise-Ready : Secure and reliable