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@polarsignals/custom-labels

v0.3.7

Published

test

Readme

@polarsignals/custom-labels

Node.js library for attaching arbitrary key/value labels to profiling stack traces at runtime. Labels are propagated through asynchronous operations and can be used to correlate profiling data with distributed tracing, user contexts, or any other metadata.

Installation

npm install @polarsignals/custom-labels

Requirements

  • Node.js v22 or later
  • Node.js v22-v23: requires --experimental-async-context-frame flag
  • Node.js v24+: works without additional flags
  • Native compilation tools (node-gyp)

Usage

const cl = require('@polarsignals/custom-labels');

cl.withLabels(
    () => {
        // Code executed here will have the specified labels attached
        // to all CPU profiling stack traces, including any async work
        performWork();
    },
    "username", currentUserName,
    "traceId", currentTraceId
);

API

withLabels(callback, ...labelPairs)

Executes the callback function with the specified labels attached to all CPU profiling samples. Labels are automatically propagated through asynchronous operations spawned by the callback.

Parameters:

  • callback - Function to execute with labels applied
  • ...labelPairs - Alternating key/value pairs for labels

Synchronous callback:

cl.withLabels(
    () => {
        // Synchronous work will be labeled
        processDataSync();
    },
    "username", currentUserName,
    "traceId", currentTraceId
);

Async callback:

await cl.withLabels(
    async () => {
        // Both synchronous and asynchronous work will be labeled
        await processRequest();
    },
    "service", "api-server",
    "endpoint", "/users",
    "version", "1.2.3"
);

When passing an async function, withLabels returns a Promise that must be awaited. When passing a synchronous function, it executes immediately and returns the function's result.

Technical Details

For technical details about the implementation, see the blog post.

License

Apache-2.0