PostHog Integration (Beta)
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?"
Example PostHog Dashboard
Get started
This is a beta feature and currently only available for users of our managed service.
Interested to use this integration for your Langfuse project? Reach out to us: early-access@langfuse.com
Build a dashboard in PostHog
Once integrated, you can build a dashboard in PostHog to visualize your Langfuse metrics. Use the AI Metrics template to get started with a pre-built dashboard that includes the most common metrics from Langfuse.
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 tolangfuse_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 tolangfuse_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.
Questions?
If you have any questions about this integration, please reach out to us at early-access@langfuse.com