What the Open Semantic Interchange (OSI) spec means for metrics, semantics, and AI
Blog post from dbt
The Open Semantic Interchange (OSI) specification aims to standardize the semantic context for AI-enabled analytics, ensuring consistent interpretation of metrics, dimensions, datasets, and relationships across different tools and platforms. At Coalesce 2025, dbt Labs introduced MetricFlow as an open-source project and announced collaboration with partners like Snowflake and Salesforce in developing OSI, which is available under an open-source Apache 2.0 license. This specification addresses the common problem of inconsistent metric definitions by providing a vendor-neutral interchange format that allows semantic definitions to be transferred without re-authoring. dbt Labs enhances this by operationalizing semantics through its Semantic Layer, enabling consistent metric execution with MetricFlow and supporting interoperability across analytics tools. The ongoing development of OSI involves collaboration with the OSI community, with opportunities for engagement and contribution available through various platforms.
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