> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getnetra.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Netra

> Netra is the AI observability, evaluation, and simulation platform. Trace every LLM call, evaluate agent quality, and monitor costs in production.

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](/sdk-reference/sdk/overview) for instrumenting AI applications, a centralized [customizable dashboard](/Dashboard/Custom-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](https://opentelemetry.io/) standards, Netra integrates with leading [LLM providers](/Integrations/ai_providers/OPENAI), [vector databases](/Integrations/db-docs/Pinecone), and [AI frameworks](/Integrations/orchestrators/LangChain), enabling end-to-end tracing, evaluation, and alerting across complex AI workflows. Netra also supports [multi-tenancy](/Observability/Tenants), 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.

<Card title="Get Started" icon="rocket" href="/quick-start/Overview">
  Set up Netra in your project and start tracing, evaluating, and simulating in minutes.
</Card>

# Netra: Features

<Tabs>
  <Tab title="Simulation">
    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.

    <video autoPlay muted loop playsInline className="w-full aspect-video rounded-xl" src="https://mintcdn.com/netra/_yZdshCyynU6Sr_3/videos/simulation_scenario_details_edited.mp4?fit=max&auto=format&n=_yZdshCyynU6Sr_3&q=85&s=aeb589638a816064b1bdcbb9c1b97b93" data-path="videos/simulation_scenario_details_edited.mp4" />

    * [Run your first simulation](/quick-start/QuickStart_Simulation)
    * [Know more about Simulation](/Simulation/Simulation-overview)
  </Tab>

  <Tab title="Evaluation">
    Evaluations help you systematically, repeatable evaluate your AI applications that quantify model quality, reasoning accuracy, tool correctness, and output reliability using production-grade metrics.

    <video autoPlay muted loop playsInline className="w-full aspect-video rounded-xl" src="https://mintcdn.com/netra/XTkLfH0aAT4vWndN/videos/custom_eval_gif.mp4?fit=max&auto=format&n=XTkLfH0aAT4vWndN&q=85&s=080bd1e9ef127b5902aadcfb5838dfad" data-path="videos/custom_eval_gif.mp4" />

    * [Run your first evals](/quick-start/QuickStart_Evals)
    * [Know more about Evaluations](/Evaluation/Evaluation-overview)
  </Tab>

  <Tab title="Tracing">
    Traces provides you end-to-end visibility into every AI request, capturing prompts, model calls, tools, latency, and token usage across the full execution lifecycle.

    <video autoPlay muted loop playsInline className="w-full aspect-video rounded-xl" src="https://mintcdn.com/netra/XTkLfH0aAT4vWndN/videos/trace_expanded_view_gif.mp4?fit=max&auto=format&n=XTkLfH0aAT4vWndN&q=85&s=765e719f86a1fc90177fec9210c3b632" data-path="videos/trace_expanded_view_gif.mp4" />

    * [Setup Traces](/quick-start/QuickStart_Tracing)
    * [Know more about Traces](/Observability/Traces/overview)
  </Tab>

  <Tab title="Alerting">
    Alerts helps in proactive, real-time notifications that surface cost spikes, performance regressions, safety violations, and anomalous AI behavior before they impact users or budgets.

    <video autoPlay muted loop playsInline className="w-full aspect-video rounded-xl" src="https://mintcdn.com/netra/XTkLfH0aAT4vWndN/videos/trace_expanded_view_gif.mp4?fit=max&auto=format&n=XTkLfH0aAT4vWndN&q=85&s=765e719f86a1fc90177fec9210c3b632" data-path="videos/trace_expanded_view_gif.mp4" />

    * [Get started with Alerts](/quick-start/QuickStart_Alerts)
    * [Know more about Alerts](/Alert-rules/Alert-rules)
  </Tab>
</Tabs>

***

# Learn More

<Columns cols={2}>
  <Card title="Netra SDK" icon="box-archive" href="/sdk-reference/sdk/overview" arrow="true">
    Integrate Netra into your LLM application
  </Card>

  <Card title="Simulation" icon="flask" href="/Simulation/Simulation-overview" arrow="true">
    Test your AI agents with multi-turn conversations
  </Card>

  <Card title="Evaluation" icon="clipboard-check" href="/Evaluation/Evaluation-overview" arrow="true">
    Evaluate your LLM application
  </Card>

  <Card title="Guides & Cookbooks" icon="book-open" href="/Cookbooks/observability/tracing-rag-pipeline" arrow="true">
    End-to-end examples and best practices
  </Card>
</Columns>