Openinference Instrumentation Mcp

OpenInference is a set of conventions and plugins that is complimentary to OpenTelemetry to enable tracing of AI applications. OpenInference is natively supported by Arize Phoenix and Arize AX, but can be used with any OpenTelemetry-compatible backend as well.

Specification

The OpenInference specification is edited in markdown files found in the spec directory. It's designed to provide insight into the invocation of LLMs and the surrounding application context such as retrieval from vector stores and the usage of external tools such as search engines or APIs. The specification is transport and file-format agnostic, and is intended to be used in conjunction with other specifications such as JSON, ProtoBuf, and DataFrames.

Instrumentation

OpenInference provides a set of instrumentations for popular machine learning SDKs and frameworks in a variety of languages.

Python

Libraries

Span Processors

Normalize and convert data across other instrumentation libraries by adding span processors that unify data.

Examples

JavaScript

Libraries

Java

Libraries

Examples

Go

Libraries

Requires Go 1.25+. Pair with arize-otel-go for the one-line OTLP/HTTP setup to Arize AX, or wire up any OTel exporter (e.g. Phoenix at http://localhost:6006/v1/traces).

Supported Destinations

OpenInference supports the following destinations as span collectors.

• ✅ Arize Phoenix
• ✅ Arize AX
• ✅ Any OTEL-compatible collector

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