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Openinference
OpenTelemetry Instrumentation for AI Observability
Install
git clone https://github.com/Arize-ai/openinferenceInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →🇺🇸 English • 🇨🇳 中文 • 🇹🇼 繁體中文 • 🇯🇵 日本語 • 🇵🇹 Português • 🇧🇷 Português • 🇰🇷 한국어 • 🇪🇸 Español • 🇩🇪 Deutsch • 🇫🇷 Français • 🇮🇱 עברית • 🇸🇦 العربية • 🇷🇺 Русский • 🇵🇱 Polski • 🇨🇿 Čeština • 🇳🇱 Nederlands • 🇹🇷 Türkçe • 🇺🇦 Українська • 🇻🇳 Tiếng Việt • 🇵🇭 Tagalog • 🇮🇩 Indonesia • 🇹🇭 ไทย • 🇮🇳 हिन्दी • 🇧🇩 বাংলা • 🇵🇰 اردو • 🇷🇴 Română • 🇸🇪 Svenska • 🇮🇹 Italiano • 🇬🇷 Ελληνικά • 🇭🇺 Magyar • 🇫🇮 Suomi • 🇩🇰 Dansk • 🇳🇴 Norsk
OpenInference is a set of conventions and plugins that is complementary 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
| Package | Description | Version |
|---|---|---|
openinference-semantic-conventions |
Semantic conventions for tracing of LLM Apps. | |
openinference-instrumentation |
Reusable utilities, decorators, configurations, and helpers for instrumentation. | |
openinference-instrumentation-agno |
OpenInference Instrumentation for Agno Agents. | [ |
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