Netra is a unified platform for AI application observability, analytics, privacy protection, and security, designed to give teams deep visibility into how their AI systems behave in development and production while safeguarding sensitive data. Netra combines multi-language SDKs for instrumenting AI applications, a centralized customizable dashboard for monitoring traces, sessions, agents, users, and costs, an AI-specific analytics engine for understanding LLM performance, vector database behavior, and prompt effectiveness. Netra is built on OpenTelemetry standards, Netra integrates with leading LLM providers, vector databases, and AI frameworks, enabling end-to-end tracing, evaluation, and alerting across complex AI workflows. Netra also supports multi-tenancy, allowing you to isolate and track observability data across different tenants in your SaaS applications. Whether you are debugging latency issues, optimizing costs, enforcing security policies, or evaluating model quality, Netra provides the foundational observability layer needed to operate AI applications reliably at scale.Documentation Index
Fetch the complete documentation index at: https://docs.getnetra.ai/llms.txt
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Set up Netra in your project and start tracing, evaluating, and simulating in minutes.
Netra: Features
- Simulation
- Evaluation
- Tracing
- Alerting
Simulation enables you to test your AI agents with realistic, multi-turn conversations driven by configurable user personas, goals, and fact-checking criteria — all evaluated automatically.
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Netra SDK
Integrate Netra into your LLM application
Simulation
Test your AI agents with multi-turn conversations
Evaluation
Evaluate your LLM application
Guides & Cookbooks
End-to-end examples and best practices