Observability & Monitoring

Openinference Semantic Conventions

Semantic conventions for tracing LLM applications with OpenInference.

Status
Generally available
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

This package provides semantic conventions for tracing Large Language Model (LLM) applications, enabling better observability and monitoring of AI systems. It is part of the broader Arize ecosystem aimed at improving model performance and reliability.

This package stands out by providing standardized tracing conventions specifically for LLM applications, enhancing observability without imposing significant performance penalties.

When it fits — and when it doesn’t

A good fit for

  • Developers building LLM applications who need standardized tracing conventions

  • Teams integrating multiple AI models and require consistent monitoring practices

  • Organizations that prioritize transparency and traceability in their AI systems

Look elsewhere if

  • Projects requiring real-time streaming capabilities (this tool focuses on batch processing)

  • Applications where the overhead of semantic conventions would be prohibitive

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python and TypeScript

    Official SDKs only available for Python and community-maintained TypeScript, lacking support for other languages like Java or Go

  2. 02

    Vendor lock-in with Arize ecosystem

    Tightly integrated with other Arize tools, making it difficult to switch to alternative observability solutions without significant refactoring

What it does well

  • Semantic conventions for tracing LLM applications

  • Improves observability and monitoring of AI systems

  • Part of the Arize ecosystem

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing last confirmed Sep 21, 2026.

Performance benchmarks

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