Openinference Semantic Conventions
Semantic conventions for tracing LLM applications with OpenInference.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is Openinference Semantic Conventions?
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.
Key differentiator
“This package stands out by providing standardized tracing conventions specifically for LLM applications, enhancing observability without imposing significant performance penalties.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
Projects requiring real-time streaming capabilities (this tool focuses on batch processing)
Applications where the overhead of semantic conventions would be prohibitive
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Next step
Get Started with Openinference Semantic Conventions
Step-by-step setup guide with code examples and common gotchas.