Type Alias: RankedModel

RankedModel = z.infer<typeof RankedModelSchema>

RankedModel fields

One ranked model-search result.

• endpoint: Normalized endpoint chosen for this result.
• endpoint.name: Serving endpoint invoke id.
• endpoint.displayName (optional): Human-readable label when the workspace provides one.
• endpoint.family (optional): Detected model family used for grouping and sort order.
• endpoint.task (optional): Databricks serving task reported for the endpoint.
• endpoint.state (optional): Serving endpoint lifecycle state.
• endpoint.description (optional): Workspace-provided endpoint description.
• endpoint.supportsTools (optional): True when the endpoint accepts tool calls.
• endpoint.profile (optional): Relative quality, speed, and cost scores.
• endpoint.profile.quality (optional): Relative quality score for ranking.
• endpoint.profile.speed (optional): Relative speed score for ranking.
• endpoint.profile.cost (optional): Relative cost score for ranking.
• endpoint.class (optional): Intent-oriented class assigned to this endpoint.
• endpoint.serviceNames (optional): Provider-specific service name aliases keyed by protocol.
• endpoint.modelServiceName (optional): Canonical model-service name used for metadata lookup.
• endpoint.reasoningEfforts (optional): Reasoning effort values this endpoint accepts.
• endpoint.status (optional): Retirement status for this endpoint.
• endpoint.status.deprecated (optional): True when the model should no longer be selected by default.
• endpoint.dimension (optional): Embedding vector size when the endpoint is an embedding model.
• modelClass: Class used to rank this result.
• score (optional): Fuzzy-match score in the range 0 to 1.