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

# Narev benchmark integrations: gateways and tracing tools

> See how Narev complements LLM gateways like OpenRouter, Portkey, and LiteLLM, and tracing tools like Langfuse, LangSmith, Helicone, and W&B Weave.

<Tip>
  Narev is a router and experimentation layer that integrates with most providers, gateways and tracing platforms. If
  you don't see an integration, [contact support](mailto:support@narev.ai).
</Tip>

## Available integrations

### Providers

* [OpenAI](/platform/benchmark/integration/openai) - GPT-4 and other OpenAI models

### Gateways

* [OpenRouter](/platform/benchmark/integration/openrouter) - Universal LLM gateway with load balancing
* [LiteLLM](/platform/benchmark/integration/litellm) - Unified interface for 100+ LLMs
* [Portkey](/platform/benchmark/integration/portkey) - AI gateway with routing and fallbacks
* [Helicone Gateway](/platform/benchmark/integration/helicone-gateway) - AI gateway with routing and fallbacks

### Observability

* [Helicone](/platform/benchmark/integration/helicone) - LLM observability and monitoring
* [Langfuse](/platform/benchmark/integration/langfuse) - LLM engineering platform
* [LangSmith](/platform/benchmark/integration/langsmith) - LangChain debugging and monitoring
* [Weights and Biases](/platform/benchmark/integration/wandb) - ML experiment tracking

## Narev is the missing experimentation layer

A common LLM stack has three layers:

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          <th className="min-w-[80px] border px-2 py-2 text-left text-xs font-bold sm:min-w-[120px] sm:px-4 sm:text-base">
            Layer
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            Tools
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            Purpose
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          <td className="min-w-[80px] border px-2 py-2 text-left text-xs sm:min-w-[120px] sm:px-4 sm:text-base">
            <strong>Provider</strong>
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          <td className="min-w-[80px] border px-2 py-2 text-left text-xs sm:min-w-[120px] sm:px-4 sm:text-base">
            OpenAI, Claude, Groq
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          <td className="min-w-[80px] border px-2 py-2 text-left text-xs sm:min-w-[120px] sm:px-4 sm:text-base">
            Generates responses
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            <strong>Narev</strong>

            <br />

            Helps find optimal configuration
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            <strong>Gateway</strong>
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          <td className="min-w-[80px] border px-2 py-2 text-left text-xs sm:min-w-[120px] sm:px-4 sm:text-base">
            OpenRouter, LiteLLM, Portkey
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            Provides common interface
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            <strong>Observability</strong>
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            <strong>LLM</strong>: Helicone, Langfuse, W\&B
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            Shows LLM history
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            <strong>FinOps</strong>: Vantage, CloudZero, Finout
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          <td className="min-w-[80px] border px-2 py-2 text-left text-xs sm:min-w-[120px] sm:px-4 sm:text-base">
            Tracks costs and spend
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  </div>
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## How Narev complements existing tools?

| Category                                                                   | How Narev works together                               | What Narev adds                                                  |
| -------------------------------------------------------------------------- | ------------------------------------------------------ | ---------------------------------------------------------------- |
| **Provider**<br /><small>(OpenAI, Anthropic, Groq)</small>                 | Tests providers side-by-side on your prompts           | Identifies which provider delivers the best cost/quality/latency |
| **Gateway**<br /><small>(OpenRouter, LiteLLM, Portkey)</small>             | Tests routing strategies and fallback configurations   | Determines optimal routing logic and failover paths              |
| **Observability: LLM**<br /><small>(Helicone, Langfuse, W\&B)</small>      | Imports production traces and runs what-if experiments | Tests configurations before and during production                |
| **Observability: FinOps**<br /><small>(Vantage, CloudZero, Finout)</small> | Connects cost data to quality-aware optimization tests | Turns spend tracking into actionable cost reduction              |