From 0b16914385179b49eb2805488cb72633aaa56794 Mon Sep 17 00:00:00 2001 From: Dat Daryl Ngo Date: Tue, 18 Aug 2026 21:57:44 +0200 Subject: [PATCH 1/2] docs: refresh Arize integration links --- docs/integrations/arize-ax.md | 4 ++-- docs/integrations/phoenix.md | 4 +++- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/docs/integrations/arize-ax.md b/docs/integrations/arize-ax.md index 6beb5defae..9724cd7a78 100644 --- a/docs/integrations/arize-ax.md +++ b/docs/integrations/arize-ax.md @@ -7,9 +7,9 @@ catalog_tags: ["observability", "evaluation"] # Arize AX observability for ADK -[Arize AX](https://arize.com/docs/ax) is a production-grade observability platform for monitoring, debugging, and improving LLM applications and AI Agents at scale. It provides comprehensive tracing, evaluation, and monitoring capabilities for your Google ADK applications. To get started, sign up for a [free account](https://app.arize.com/auth/join). +[Arize AX](https://arize.com/products/ax/) is the full-featured AI observability and evaluation platform from [Arize AI](https://arize.com/?utm_source=google-adk-docs&utm_medium=partner&utm_campaign=partner-docs&utm_content=integrations-arize-ax) for production teams, AI-native companies, and enterprises. It is available as managed cloud or enterprise self-hosted deployment and provides comprehensive tracing, evaluation, and monitoring capabilities for Google ADK applications. To get started, sign up for a [free account](https://app.arize.com/auth/join). -For an open-source, self-hosted alternative, check out [Phoenix](https://arize.com/docs/phoenix). +For an open-source path for local development, experimentation, or single-container self-hosting, check out [Arize Phoenix](https://arize.com/phoenix/). 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 teams use traces to evaluate agent decisions, tool calls, and model behavior. ## Overview diff --git a/docs/integrations/phoenix.md b/docs/integrations/phoenix.md index 5219b38517..36c4afe7ab 100644 --- a/docs/integrations/phoenix.md +++ b/docs/integrations/phoenix.md @@ -11,7 +11,9 @@ catalog_tags: ["observability", "evaluation"] Supported in ADKPython -[Phoenix](https://arize.com/docs/phoenix) is an open-source, self-hosted observability platform for monitoring, debugging, and improving LLM applications and AI Agents at scale. It provides comprehensive tracing and evaluation capabilities for your Google ADK applications. To get started, sign up for a [free account](https://arize.com/phoenix/). +[Arize Phoenix](https://arize.com/phoenix/) is the open-source observability and evaluation platform from [Arize AI](https://arize.com/?utm_source=google-adk-docs&utm_medium=partner&utm_campaign=partner-docs&utm_content=integrations-phoenix) for local development, OSS workflows, and self-hosted tracing. It provides comprehensive tracing and evaluation capabilities for your Google ADK applications. To get started, sign up for a [free account](https://arize.com/phoenix/). + +For the full-featured production platform built for AI-native teams and enterprises, use [Arize AX](https://arize.com/products/ax/), available as managed cloud or enterprise self-hosted deployment. 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 support evaluation workflows for agents and LLM applications. ## Overview From db921711c166553e62d68810f039b7a194418e50 Mon Sep 17 00:00:00 2001 From: Dat Daryl Ngo Date: Fri, 28 Aug 2026 00:25:53 +0900 Subject: [PATCH 2/2] docs: address Arize integration review --- docs/integrations/arize-ax.md | 4 ++-- docs/integrations/phoenix.md | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/integrations/arize-ax.md b/docs/integrations/arize-ax.md index 9724cd7a78..52d7d65382 100644 --- a/docs/integrations/arize-ax.md +++ b/docs/integrations/arize-ax.md @@ -7,9 +7,9 @@ catalog_tags: ["observability", "evaluation"] # Arize AX observability for ADK -[Arize AX](https://arize.com/products/ax/) is the full-featured AI observability and evaluation platform from [Arize AI](https://arize.com/?utm_source=google-adk-docs&utm_medium=partner&utm_campaign=partner-docs&utm_content=integrations-arize-ax) for production teams, AI-native companies, and enterprises. It is available as managed cloud or enterprise self-hosted deployment and provides comprehensive tracing, evaluation, and monitoring capabilities for Google ADK applications. To get started, sign up for a [free account](https://app.arize.com/auth/join). +[Arize AX](https://arize.com/products/ax/) is the full-featured AI observability and evaluation platform from [Arize AI](https://arize.com/) for production teams, AI-native companies, and enterprises. It is available as managed cloud or enterprise self-hosted deployment and provides comprehensive tracing, evaluation, and monitoring capabilities for Google ADK applications. To get started, sign up for a [free account](https://app.arize.com/auth/join). -For an open-source path for local development, experimentation, or single-container self-hosting, check out [Arize Phoenix](https://arize.com/phoenix/). 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 teams use traces to evaluate agent decisions, tool calls, and model behavior. +For an open-source path for local development, experimentation, or single-container self-hosting, check out the [Arize Phoenix ADK integration](/integrations/phoenix/). 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 teams use traces to evaluate agent decisions, tool calls, and model behavior. ## Overview diff --git a/docs/integrations/phoenix.md b/docs/integrations/phoenix.md index 36c4afe7ab..ce907ca240 100644 --- a/docs/integrations/phoenix.md +++ b/docs/integrations/phoenix.md @@ -11,9 +11,9 @@ catalog_tags: ["observability", "evaluation"] Supported in ADKPython -[Arize Phoenix](https://arize.com/phoenix/) is the open-source observability and evaluation platform from [Arize AI](https://arize.com/?utm_source=google-adk-docs&utm_medium=partner&utm_campaign=partner-docs&utm_content=integrations-phoenix) for local development, OSS workflows, and self-hosted tracing. It provides comprehensive tracing and evaluation capabilities for your Google ADK applications. To get started, sign up for a [free account](https://arize.com/phoenix/). +[Arize Phoenix](https://arize.com/phoenix/) is the open-source observability and evaluation platform from [Arize AI](https://arize.com/) for local development, OSS workflows, and self-hosted tracing. It provides comprehensive tracing and evaluation capabilities for your Google ADK applications. To get started, sign up for a [free account](https://arize.com/phoenix/). -For the full-featured production platform built for AI-native teams and enterprises, use [Arize AX](https://arize.com/products/ax/), available as managed cloud or enterprise self-hosted deployment. 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 support evaluation workflows for agents and LLM applications. +For the full-featured production platform built for AI-native teams and enterprises, use the [Arize AX ADK integration](/integrations/arize-ax/), available as managed cloud or enterprise self-hosted deployment. 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 support evaluation workflows for agents and LLM applications. ## Overview