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@arizeai/phoenix-mcp

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by Arize-ai
logSpanAnnotations.ts1.99 kB
import { createClient } from "../client"; import { ClientFn } from "../types/core"; import { SpanAnnotation, toSpanAnnotationData } from "./types"; /** * Parameters to log multiple span annotations */ export interface LogSpanAnnotationsParams extends ClientFn { /** * The span annotations to log */ spanAnnotations: SpanAnnotation[]; /** * If true, the request will be fulfilled synchronously and return the annotation IDs. * If false, the request will be processed asynchronously and return null. * @default false */ sync?: boolean; } /** * Log multiple span annotations in a single request. * * Each annotation can be of type "LLM", "CODE", or "HUMAN" and can include a label, score, and metadata. * If an identifier is provided and an annotation with that identifier already exists, it will be updated. * * @param params - The parameters to log span annotations * @returns The IDs of the created or updated annotations * * @example * ```ts * const results = await logSpanAnnotations({ * spanAnnotations: [ * { * spanId: "123abc", * name: "quality_score", * label: "good", * score: 0.95, * annotatorKind: "LLM", * identifier: "custom_id_123", * metadata: { * model: "gpt-4" * } * }, * { * spanId: "456def", * name: "sentiment", * label: "positive", * score: 0.8, * annotatorKind: "CODE" * } * ] * }); * ``` */ export async function logSpanAnnotations({ client: _client, spanAnnotations, sync = false, }: LogSpanAnnotationsParams): Promise<{ id: string }[]> { const client = _client ?? createClient(); const { data, error } = await client.POST("/v1/span_annotations", { params: { query: { sync }, }, body: { data: spanAnnotations.map(toSpanAnnotationData), }, }); if (error) { throw new Error(`Failed to log span annotations: ${error}`); } return data?.data || []; }

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