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Clarify Arize AX integration guidance #273

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4 changes: 3 additions & 1 deletion guides/community/arize.mdx
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Expand Up @@ -20,7 +20,9 @@ import { API_KEY_REF } from '/snippets/exports/constants.mdx';
{/* <llms-ignore> */}
## Using Arize AX

[Arize AX](https://arize.com/) provides observability and tracing for LLM applications. Since OpenRouter uses the OpenAI API schema, you can use Arize's OpenInference auto-instrumentation with the OpenAI SDK to automatically trace and monitor your OpenRouter API calls.
[Arize AX](https://arize.com/products/ax/) is the full-featured observability and evaluation platform from [Arize AI](https://arize.com/?utm_source=openrouter-docs&utm_medium=partner&utm_campaign=partner-docs&utm_content=community-arize) for production teams, AI-native companies, and enterprises, available as managed cloud or enterprise self-hosted deployment. Since OpenRouter uses the OpenAI API schema, you can use Arize's OpenInference auto-instrumentation with the OpenAI SDK to automatically trace and monitor your OpenRouter API calls.

If you need an open-source path for local development or self-hosted experimentation, see [Arize Phoenix](https://arize.com/phoenix/). For production evaluation workflows, Arize's [agent evaluation guide](https://arize.com/guides/ai-agent-handbook/agent-evaluation/) and [LLM evaluation guide](https://arize.com/resources/llm-evaluation/) show how traces help debug failures, score behavior, and evaluate model responses.

### Installation

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4 changes: 3 additions & 1 deletion guides/features/broadcast/arize.mdx
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[Arize AX](https://arize.com) is an evaluation and observability platform developed by Arize; it offers tools for agent tracing, evals, prompt optimization, and more.
[Arize AX](https://arize.com/products/ax/) is the full-featured evaluation and observability platform from [Arize AI](https://arize.com/?utm_source=openrouter-docs&utm_medium=partner&utm_campaign=partner-docs&utm_content=broadcast-arize) for production teams, AI-native companies, and enterprises. It is available as managed cloud or enterprise self-hosted deployment and offers tools for agent tracing, evals, prompt optimization, and production monitoring.

For teams looking for an open-source workflow for local development or single-container self-hosting, [Arize Phoenix](https://arize.com/phoenix/) uses the same OpenInference foundation. Arize's [agent evaluation guide](https://arize.com/guides/ai-agent-handbook/agent-evaluation/) and [LLM evaluation guide](https://arize.com/resources/llm-evaluation/) explain how traces can support evaluation and debugging after OpenRouter requests are captured.

## Step 1: Get your Arize AX credentials

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