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    Result from an embedding execution via AIModelRunner.

    interface EmbeddingRunResult {
        Cost: number;
        ErrorMessage: string;
        ExecutionTimeMs: number;
        PromptRunID: string;
        Success: boolean;
        TokensUsed: number;
        Vectors: number[][];
    }
    Index

    Properties

    Cost: number

    Cost of the call

    ErrorMessage: string

    Error message if failed

    ExecutionTimeMs: number

    Execution time in milliseconds

    PromptRunID: string

    The AIPromptRun ID created for tracking

    Success: boolean

    Whether the embedding call succeeded

    TokensUsed: number

    Total tokens used

    Vectors: number[][]

    The embedding vectors (one per input text)