Golem Enable Otlp TS

Enabling OpenTelemetry for a TypeScript Agent

The golem-otlp-exporter is a built-in plugin that exports agent telemetry (traces, logs, metrics) to any OTLP-compatible collector via OTLP/HTTP. No plugin installation is needed — just enable it in the application manifest.

Step 1 — Enable the Plugin in golem.yaml

Add the plugin to the component (or agent) that should emit telemetry:

components:
  my-app:service:
    plugins:
      - name: golem-otlp-exporter
        version: "1.5.0"
        parameters:
          endpoint: "http://localhost:4318"
          signals: "traces,logs,metrics"

Plugin Parameters

Step 2 — Deploy

golem deploy --yes

After deployment, newly created agents from this component automatically send telemetry to the configured collector.

What Gets Exported

Traces

Spans are created automatically for:

• Agent invocations
• RPC calls to other agents
• Outgoing HTTP requests

Trace and span IDs propagate from inbound HTTP requests (via code-first routes) and are included in outgoing HTTP request headers automatically.

Custom Spans

Use the golem:api/context API to create custom spans:

import { startSpan, currentContext } from 'golem:api/context@1.5.0';

const span = startSpan('my-operation');
span.setAttribute('env', { tag: 'string', val: 'production' });
span.setAttributes([
  { key: 'service', value: { tag: 'string', val: 'my-service' } },
  { key: 'version', value: { tag: 'string', val: '1.0' } },
]);

// ... do work ...

const ctx = currentContext();
console.log(`trace_id: ${ctx.traceId()}`);
span.finish();

Custom Spans via node:diagnostics_channel

TypeScript also supports the Node.js diagnostics_channel API, which automatically creates Golem spans:

import { tracingChannel } from 'node:diagnostics_channel';

const dc = tracingChannel('my-operation');
const result = dc.traceSync(
  () => {
    // ... do work ...
    return 42;
  },
  { method: 'GET', url: '/api/data', env: 'production' } // become span attributes
);

Logs

When logs is included in signals, all log output is forwarded to the OTLP collector. See the golem-logging-ts skill for full logging guidance.

console.log("Hello from TypeScript!");
console.debug("This is a debug log entry");

Metrics

When metrics is included in signals, the following metrics are exported:

Each metric includes service.name, golem.agent.id, golem.component.id, and golem.component.version attributes.

Local Observability Stack

The Golem repository includes a ready-made Docker Compose setup at docker-examples/otlp-collector/:

docker compose -f docker-examples/otlp-collector/docker-compose.yml up -d

This starts:

• OTel Collector on port 4318 (OTLP/HTTP)
• Jaeger on http://localhost:16686 (traces)
• Prometheus on http://localhost:9090 (metrics)
• Loki via Grafana (logs)
• Grafana on http://localhost:3000 (admin/admin)

Configure the plugin with endpoint: "http://localhost:4318" to use this stack.

Per-Environment Configuration

Use presets to vary the endpoint across environments:

components:
  my-app:service:
    plugins:
      - name: golem-otlp-exporter
        version: "1.5.0"
        parameters:
          endpoint: "http://localhost:4318"
          signals: "traces,logs,metrics"
    presets:
      production:
        pluginsMergeMode: replace
        plugins:
          - name: golem-otlp-exporter
            version: "1.5.0"
            parameters:
              endpoint: "https://otel.prod.example.com:4318"
              headers: "x-api-key={{ OTLP_API_KEY }}"
              signals: "traces,logs,metrics"

Key Points

• Built-in — no golem plugin register needed, just add to golem.yaml
• Deploy required — run golem deploy after adding the plugin configuration
• Trace context propagates automatically through HTTP routes and RPC calls
• Use startSpan from golem:api/context@1.5.0 or tracingChannel from node:diagnostics_channel for custom spans
• Plugin can be activated/deactivated per agent with golem agent activate-plugin / golem agent deactivate-plugin

Related Skills

• Load golem-manage-plugins for the general plugin installation model (manifest sections, CLI commands, priority, per-environment configuration)