From 99ca7aef5426125a59f6e955e80de5fbac192ced Mon Sep 17 00:00:00 2001 From: Dat Daryl Ngo Date: Tue, 18 Aug 2026 21:58:36 +0200 Subject: [PATCH] docs: refresh Arize AX integration links --- guides/community/arize.mdx | 4 +++- guides/features/broadcast/arize.mdx | 4 +++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/guides/community/arize.mdx b/guides/community/arize.mdx index 0583c3f8..c1524552 100644 --- a/guides/community/arize.mdx +++ b/guides/community/arize.mdx @@ -20,7 +20,9 @@ import { API_KEY_REF } from '/snippets/exports/constants.mdx'; {/* */} ## 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 diff --git a/guides/features/broadcast/arize.mdx b/guides/features/broadcast/arize.mdx index 4421e4bc..06dc5c0e 100644 --- a/guides/features/broadcast/arize.mdx +++ b/guides/features/broadcast/arize.mdx @@ -15,7 +15,9 @@ nofollow: false icon: puzzle-piece --- -[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