> ## Documentation Index > Fetch the complete documentation index at: https://arize-ax.mintlify.site/docs/llms.txt > Use this file to discover all available pages before exploring further. # Integrations ## Request or contribute an integration Don't see an integration you were looking for? We'd love to [hear from you!](https://github.com/Arize-ai/openinference/issues/new/choose) ## Integration types Arize has a wide range of integrations that fall into into the following categories: 1. **Tracing integrations**: Arize AX captures application traces from applications built using a specific library. 2. **Evaluation integrations**: For evaluation integrations, you can use our **python eval library** to make calls to a specific model, or you can use a **third-party eval library** to evaluate Arize traces and visualize in Arize AX. Each partner listing in this section contains **integration docs** and **relevant tutorials.** ## Browse all integrations The setup pattern is the same across every tracing integration: register a tracer provider with `arize-otel` (Python) / `@arizeai/openinference-*` (TS/JS), then attach the matching instrumentor. Pick your stack below. **When you use an agent framework with an LLM provider, instrument both** — the framework instrumentor does not trace the underlying LLM calls. ### LLM providers ### Agent frameworks ### Coding agents ### OpenTelemetry & SDKs ### Platforms ### Orchestration ### LLM-as-a-Judge model providers Use an LLM provider as the judge for evaluations via the arize-phoenix-evals library. ### Eval libraries