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openinference

Arize-ai/openinference

OpenTelemetry Instrumentation for AI Observability

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

61views this month

1.2k stars318 forksLast push Sep 19, 2026 Python Apache-2.0

Decision brief

OpenInference is a tool focused on providing observability for AI systems using OpenTelemetry, designed to complement it by enabling tracing of AI applications. It is natively supported by Arize Phoenix and AX but can be

Good fit when

When you are working with AI applications that need detailed tracing capabilities alongside observability features provided by OpenTelemetry.
If your project already includes integration or a dependency on Arize tools like Arize Phoenix or Arize AX, making this tool natively compatible for enhanced functionality.

Avoid when

When your AI applications do not require the specific tracing features supported by OpenInference and can operate effectively with standard OpenTelemetry capabilities alone.
If you are looking for alternatives that offer more generic observability features without needing to integrate Arize-specific tools, as this might make OpenInference less beneficial.

Observed Jul 9, 2026 · Source: enrich:decision_facts

openinference alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No MCP manifest; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install openinference

PyPI

How it fits your stack(4)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Integrates

phoenix

OpenInference is related to Phoenix in observability and might be designed to integrate for a cohesive AI observability solution.

integrates

langfuse

Langfuse is an open-source AI engineering platform that includes features related to observability and could potentially complement OpenInference's focus on AI Observability.

evidently

Evidently is an ML and LLM observability framework that shares a similar purpose of enhancing visibility into the workings of AI systems.

openllmetry

Open-source observability for GenAI or LLM applications based on OpenTelemetry

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

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RagaAI-Catalyst

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

The OpenInference project provides OpenTelemetry instrumentation tools and specification to improve observability in the context of AI applications, including LLMs and AI agents.

Capability facts

Languages: python
Source: github.language · Sep 20, 2026

Graph entities

LangChainframework LlamaIndexframework Haystackframework Pydantic AIframework Smolagentsframework

README

<p align="center" <img alt="OpenInference" src="https://raw.githubusercontent.com/Arize ai/phoenix assets/main/logos/OpenInference/Full%20color/OI full horiz.svg" width="40%" height="100%" / </p <p align="center" <a href="https://arize ai.github.io/openinference/spec/" <img src="...

For agents

This page has a .md twin and JSON over the API.

/tools/arize-ai-openinference.md GET /api/graphcanon/tools/arize-ai-openinference GET /api/graphcanon/graph?tool=arize-ai-openinference