Add analytics events to Opik features. Use when wiring PostHog events on the frontend or backend for product analytics tracking.
Install
npx skillscat add comet-ml/opik/analytics-instrumentation Install via the SkillsCat registry.
Analytics Instrumentation
Event Naming
All events MUST be prefixed with opik_. Segment routes opik_* events to PostHog. The tooling enforces this automatically, but event names defined in code should already include the prefix.
Examples: opik_onboarding_agent_name_submitted, opik_eval_suite_created, opik_optimization_created
Frontend Events
Files
- Tracking utility:
apps/opik-frontend/src/lib/analytics/tracking.ts(mode-agnostic; safe to import from any project code) - Segment init:
apps/opik-frontend/src/plugins/comet/analytics/index.ts(comet-only) - Plugin init:
apps/opik-frontend/src/plugins/comet/init.tsx(comet-only)
Adding a new event
- Add the event name to the
OpikEventconst intracking.ts:
export const OpikEvent = {
ONBOARDING_AGENT_NAME_SUBMITTED: "opik_onboarding_agent_name_submitted",
} as const;- Call
trackEventfrom the component or hook where the action happens:
import { trackEvent, OpikEvent } from "@/lib/analytics/tracking";
trackEvent(OpikEvent.ONBOARDING_AGENT_NAME_SUBMITTED, {
agent_name: agentName,
});How it works
trackEvent()safely no-ops when Segment isn't loaded (OSS mode)opik_prefix is enforced at runtime as a safety netOPIK_ANALYTICS_ENVIRONMENTis injected into event properties automatically bytrackEvent()- Frontend custom events flow through Segment (same pipeline as backend): Segment → PostHog
- PostHog still handles automatic pageviews, user identification, and feature flags directly
Backend Events
Files
- Service:
apps/opik-backend/src/main/java/com/comet/opik/infrastructure/bi/AnalyticsService.java - Config:
apps/opik-backend/src/main/java/com/comet/opik/infrastructure/AnalyticsConfig.java - YAML config:
apps/opik-backend/config.yml(underanalytics:)
API
AnalyticsService exposes two overloads:
void trackEvent(String eventType, Map<String, String> properties);
void trackEvent(String eventType, Map<String, String> properties, String identity);- 2-arg resolves identity from the current request scope via
RequestContext. - 3-arg takes an explicit identity — use it any time the call executes outside a request scope (reactive schedulers, background threads, event listeners).
How it works
trackEvent()no-ops whenOPIK_ANALYTICS_ENABLEDisfalse(default).opik_prefix is auto-prepended if missing — but keep the prefix in code for grep-ability.environmentproperty is auto-injected fromOPIK_ANALYTICS_ENVIRONMENT.- Events flow: Backend → comet-stats → Segment → PostHog.
AnalyticsService.sendEventwraps the body incatch (RuntimeException)— callers must not add their own try/catch.
From a synchronous request handler
Inject and call inline. The 2-arg overload resolves identity from RequestContext.
private final @NonNull AnalyticsService analyticsService;
analyticsService.trackEvent("opik_onboarding_first_trace",
Map.of("trace_id", traceId, "project_id", projectId));From a reactive chain (doOnSuccess, doOnNext, etc.)
Two things are required: offload with Schedulers.boundedElastic() and pass identity explicitly.
Why offload: when identity is absent AnalyticsService.resolveIdentity() falls back to UsageReportService.getAnonymousId(), which is a synchronous JDBC read. Inside a doOnSuccess lambda that runs on the reactor event loop, that read blocks a scheduler-critical thread.
Why explicit identity: RequestContext is bound to the request thread via a Guice scope — inside the scheduler's lambda it throws ProvisionException, and you silently degrade to the anonymous-ID fallback, losing user attribution.
Capture userName up front from the reactor context alongside workspaceId, then pass both into the scheduled call:
return Mono.deferContextual(ctx -> {
String workspaceId = ctx.get(RequestContext.WORKSPACE_ID);
// Use getOrDefault on paths that internal/system callers reach without seeding USER_NAME
// (e.g. a self-triggered cancellation written only with WORKSPACE_ID in the context).
String userName = ctx.getOrDefault(RequestContext.USER_NAME, null);
return someDao.write(...)
.doOnSuccess(__ -> Schedulers.boundedElastic().schedule(
() -> analyticsService.trackEvent("opik_thing_happened",
Map.of(
"thing_id", thing.id().toString(),
"workspace_id", workspaceId),
userName)));
});If you already depend on a Schedulers.boundedElastic().schedule(() -> { ... }) block that does other non-reactive work (e.g. a blocking datasetService.getById like ExperimentService.trackEvalSuiteRunIfApplicable), add the trackEvent call inside that existing lambda instead of nesting another.
Don'ts
- Don't add try/catch around
trackEvent—sendEventcatchesRuntimeExceptioninternally. Extra catches are noise and diverge from the codebase pattern. - Don't add helper methods that only delegate to
trackEvent— inline the call at the entry point. Wrap in a helper only when it encapsulates real logic (e.g. applicability check + enrichment + tracking). - Don't re-fetch ClickHouse rows to get "fresh" values for analytics payloads — a write and a read-after-write can land on different replicas, so you may see a stale snapshot or even a spurious
NotFound. Use the pre-write snapshot; some analytics drift is acceptable, a failed user-facing request is not. - Don't add unit tests that
verify(analyticsService)...— the codebase convention is for existing integration tests to exercise these paths organically. Sister analytics PRs (#6326 eval suite, #6333 onboarding, #6338 agent config) ship without emission assertions. - Don't assume
trackEventis fully non-blocking — the Javadoc contract is aspirational; the identity-fallback path is synchronous JDBC today. Offload from reactive chains as shown above.
Environment Variables
| Variable | Default | Purpose |
|---|---|---|
OPIK_ANALYTICS_ENABLED |
false |
Backend: controls whether analytics events are sent |
OPIK_ANALYTICS_ENVIRONMENT |
empty | Both: tags events with deployment name (e.g. staging, production) |
OPIK_POSTHOG_KEY |
— | Frontend: PostHog API key (set in config.js) |
OPIK_POSTHOG_HOST |
— | Frontend: PostHog API host (set in config.js) |
Analytics is disabled by default. OSS installations are unaffected.
Event Flow
Frontend custom events: Browser → Segment → PostHog
Backend events: Java → comet-stats → Segment → PostHog
PostHog native: Browser → posthog-js → PostHog (pageviews, feature flags, identification)Event Property Conventions
- Consistent typing per property: A given property key should always carry the same kind of value. Don't pass a UUID in one code path and a human-readable name in another for the same key.
- Separate ID and name properties: When both a UUID and a display name exist, use distinct keys (e.g.
blueprint_idfor the UUID,blueprint_namefor the display name). If one is unavailable in a code path, omit the key or send an empty string — don't repurpose the other key. - Include
workspace_id: All backend analytics events should include the workspace ID for segmentation.
Deciding Frontend vs Backend
- Frontend: UI interactions (button clicks, wizard steps, form submissions, page visits)
- Backend: SDK-triggered actions (trace creation, test suite runs), server-side computations, events that happen without the user being on the page