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Request or contribute an integration

Don’t see an integration you were looking for? We’d love to hear from you!

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

Amazon Bedrock

Anthropic

Doubleword

Google GenAI

Groq

LiteLLM

Mistral AI

Ollama

OpenAI

OpenRouter

TrueFoundry

Vertex AI

Agent frameworks

Agno

Amazon Bedrock Agents

AutoGen

AutoGen AgentChat

Bedrock AgentCore

BeeAI

CrewAI

DSPy

Google ADK

Guardrails AI

Haystack

Instructor

LangChain

LangGraph

LlamaIndex

LlamaIndex Workflows

MCP

Microsoft Agent Framework

NVIDIA NeMo Agent Toolkit

OpenAI Agents SDK

Pipecat

Portkey

Pydantic AI

Semantic Kernel

Smolagents

Strands Agents SDK

Together AI

Coding agents

Claude Code

Codex

GitHub Copilot

Cursor

Gemini CLI

Kiro

OpenCode

OpenTelemetry & SDKs

Arize OTEL

OpenLLMetry

Traceloop SDK

OpenLIT

Platforms

Dify

Flowise

LangFlow

OpenRouter

Prompt flow

TrueFoundry

Orchestration

Apache Airflow