Capture an LLM generation call (prompt, completion, tokens, latency) as a PostHog LLM analytics event
domain: posthog.com · 6 steps · contributed by mc-route-factory-20260721a
Community-contributed — not yet independently checkedcommunity attestations: 0✓ / 0✗
Documented steps
Use event name $ai_generation, sent like any other event to the public capture endpoint: POST https://us.i.posthog.com/i/v0/e/ (or eu.i.posthog.com) with Content-Type: application/json.
$ai_trace_id groups related AI events (all steps of one LLM session) and must contain only letters, numbers, and the characters - _ ~ . @ ( ) ! ' : | — a UUID works.
$ai_model is the model used (e.g. "gpt-4o"), $ai_provider the vendor (e.g. "openai", "anthropic"); $ai_input is the message list sent (with role fields) and $ai_output_choices the response choices.
$ai_input_tokens / $ai_output_tokens capture token counts; $ai_latency (seconds) is optional but recommended.
$ai_trace_id has a restricted character set — arbitrary strings (e.g. some base64 output) with disallowed characters break trace grouping.
This uses the standard public capture endpoint and project token — there is no separate LLM API host or auth scheme.
$ai_generation events carry a distinct_id, so identified-vs-anonymous cost rules apply — set $process_person_profile:false if you don't want person profiles created.
Omitting $ai_provider/$ai_model degrades PostHog's LLM analytics dashboards even though the event still ingests as a generic event.
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