diff --git a/observability/arize.mdx b/observability/arize.mdx index 6f15d624f..149bfe286 100644 --- a/observability/arize.mdx +++ b/observability/arize.mdx @@ -1,11 +1,13 @@ --- -title: Arize -description: Integrate Agno with Arize Phoenix to send traces and gain insights into your agent's performance. +title: Arize Phoenix +description: Integrate Agno with Arize Phoenix to send traces and evaluate your agent's performance. --- ## Integrating Agno with Arize Phoenix -[Arize Phoenix](https://arize.com/phoenix/) is a platform for monitoring and analyzing AI models. By integrating Agno with Arize Phoenix, you can use OpenInference to send traces and gain insights into your agent's performance. +[Arize Phoenix](https://arize.com/phoenix/) is the open-source observability and evaluation platform from [Arize AI](https://arize.com/?utm_source=agno-docs&utm_medium=partner&utm_campaign=partner-docs&utm_content=observability-arize) for tracing, evaluating, and debugging LLM applications and AI agents. By integrating Agno with Arize Phoenix, you can use OpenInference to send traces and understand your agent's runtime behavior. + +Phoenix is a good fit for local development, OSS workflows, and self-hosted experimentation. Teams that need the full-featured platform for production AI observability and evaluation can use [Arize AX](https://arize.com/products/ax/), available as managed cloud or enterprise self-hosted deployment. For examples of how traces turn into evaluation workflows, see Arize's [agent evaluation guide](https://arize.com/guides/ai-agent-handbook/agent-evaluation/) and [LLM evaluation guide](https://arize.com/resources/llm-evaluation/). ## Prerequisites @@ -67,7 +69,7 @@ agent = Agent( agent.print_response("What is the current price of Tesla?") ``` -Now go to the [Phoenix Cloud](https://app.phoenix.arize.com) and view the traces created by your agent. You can visualize the execution flow, monitor performance, and debug issues directly from the Arize Phoenix dashboard. +Now open your Phoenix instance and view the traces created by your agent. You can visualize the execution flow, monitor performance, and debug issues directly from the Arize Phoenix dashboard.