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:Documentation Index
Fetch the complete documentation index at: https://keyvalue.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
- 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
Platform Overview
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
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