Scoring with SDK

import { LaminarClient, Laminar } from "@lmnr-ai/laminar";

const laminarClient = new LaminarClient({
  apiKey: "your-project-api-key"
});

// First, capture your LLM calls
await laminarClient.observe({
  name: "chat_completion",
  input: { messages: [...] },
  output: { content: "AI response" }
});

// IMPORTANT: Flush data to ensure it reaches the backend
await laminarClient.flush();

// Score by trace ID (attaches to root span)
const traceId = Laminar.getTraceId();
if (!traceId) {
  throw new Error("No active trace found");
}

await laminarClient.evaluators.score({
  name: "quality",
  traceId: traceId,
  score: 0.95,
  metadata: { model: "gpt-4" }
});

// Score by span ID 
// IMPORTANT: This code must be run after span is already recorded
// In production, ensure this runs later or add sleep to ensure span reaches backend
await new Promise(resolve => setTimeout(resolve, 1000));

const spanContext = Laminar.getLaminarSpanContext();
if (!spanContext) {
  throw new Error("No active span found");
}

await laminarClient.evaluators.score({
  name: "relevance", 
  spanId: spanContext.spanId,
  score: 0.87
});