PostHog Integration

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PostHog (opens in a new tab) is a popular choice for OSS product analytics. While Langfuse offers analytics out of the box, many of our users have asked for a way to integrate their LLM related metrics that they capture with Langfuse into their PostHog dashboards.

We've built an integration to make it easy to answer questions like:

"Are my most active users also the ones who are most engaged with my LLM content?"
"Does interacting with the LLM feature relate to higher retention rates?"
"How does the LLM feature impact my conversion rates?"
"Does the user feedback that I capture in Langfuse correlate with the user behavior that I see in PostHog?"

PostHog Integration

Get started

Enable the integration

Configure this integration in your Langfuse project settings. You will need to provide your PostHog Hostname and API key.

Posthog Integration Settings

Build a dashboard in PostHog

Once integrated, you can build a dashboard in PostHog to visualize your Langfuse metrics (see reference below). Use the AI Metrics template to get started with a pre-built dashboard that includes the most common metrics from Langfuse.

PostHog Dashboard Template

Example PostHog Dashboard

Integration details

On a daily schedule Langfuse batches aggregated events and metrics to your PostHog instance.

Metadata matching

Matching of metadata helps to join the data from Langfuse with the data from PostHog:

Langfuse	PostHog	Notes
`user_id`	`$distinct_id`
`trace.timestamp`, `generation.started_at`, `score.timestamp`	`timestamp`
`trace.metadata.$posthog_session_id`	`$session_id`	Optional, you need to add the PostHog session id to your Langfuse traces.

User properties

We send the following user properties via '$set':

langfuse_user_url: Deeplink to the user profile in Langfuse.

Events

You can decide which events you want to send to PostHog. By default, we send all of the following events:

Event: `langfuse trace`

timestamp: The time the event occurred.
langfuse_trace_name: The name of the trace.
langfuse_url: The URL of the trace.
langfuse_id: The unique identification of the trace.
langfuse_cost_usd: The total cost associated with the trace.
langfuse_count_observations: The number of observations in the trace.
langfuse_session_id: The session ID related to the event.
langfuse_project_id: An ID associated with the project related to the event.
langfuse_user_id: User ID related to the event. If it's null, it's marked as langfuse_unknown_user.
langfuse_latency: The latency of the event.
langfuse_release: Information relating to the event release.
langfuse_version: The version of the event.
langfuse_tags: Any tags associated with the event.
langfuse_integration_version: The integration version of LangFuse.

Event: `langfuse generation`

timestamp: The start time of the generation.
langfuse_generation_name: The name of the generation.
langfuse_trace_name: Name of the trace related to the generation.
langfuse_url: The URL of the generation on the host platform.
langfuse_id: Unique identifier of the generation.
langfuse_cost_usd: Computed total cost of the generation.
langfuse_input_units: Number of tokens utilized in prompting the generation.
langfuse_output_units: Number of tokens produced by the generation.
langfuse_total_units: Total number of tokens consumed in the generation process.
langfuse_unit: The units used for the generation (likely tokens).
langfuse_session_id: The session ID associated with the trace of the generation.
langfuse_project_id: The project identification where the generation happened.
langfuse_user_id: The user ID that started the trace linked to the generation. In case it's unavailable, it defaults to langfuse_unknown_user.
langfuse_latency: The observed latency of the generation.
langfuse_release: Release information of the trace attached with the generation.
langfuse_version: The versioning info about the generation.
langfuse_model: The model used during this generation's process.
langfuse_level: The level associated with the generation.
langfuse_tags: Any tags attached to the trace of the generation.
langfuse_integration_version: The integration version with LangFuse.

Event `langfuse score`

timestamp: The time when the score event occurred.
langfuse_score_name: The name associated with the score.
langfuse_score_value: The value of the score.
langfuse_score_comment: Any comments attached with the score.
langfuse_trace_name: The name of the trace associated with the score.
langfuse_id: The unique identification of the score.
langfuse_session_id: The session identification related to the score's trace.
langfuse_project_id: The project identification linked with the score's trace.
langfuse_user_id: The user ID that triggered the trace tied with the score. If not available, defaults to langfuse_unknown_user.
langfuse_release: The release information of the trace associated with the score.
langfuse_tags: Any tags related to the trace of the score.
langfuse_integration_version: The integration version with LangFuse.

PostHog Integration