Upcoming architecture changes: Simplify Langfuse for Scale (v4) #12518
Replies: 7 comments 12 replies
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Very excited for this! We have hit some query limitations filtering large trace/session tables with many tags (had to increase the request size limit for clickhouse), so looking forward to better query performance :) |
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For self-hosting the underlying infrastructure components remain the same I assume? |
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Any ETA on when it will be available for self-hosting? |
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Is it alright if we upgrade our sdk to v4 and to latest langfuse version in self hosted deployment when there is no migration path? Nothing will break now and in future when migrations are available I hope? |
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Very Excited to be exploring this. Probabaly some one has already answered, but I want a neat way to associate an Eval List with specific Prompt/Prompt Groups. Is there a native langfuse way to do this? |
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When developing V4, I would like to see dashboard query speed optimized using Incremental Materialized View in ClickHouse. Currently, V3 reads all raw data, so query speed slows down significantly as the number of rows in a table increases. |
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Hey! I was just checking langfuse and Im planning to implement it in my project. With no prior experience with v2/v3, would it be recomended to start directly with v4 or just start with v3 until there is a stable release? |
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Hi all,
On March 10, 2026, we launched Langfuse V4 as Preview on Langfuse Cloud.
This rollout is about making Langfuse much faster at scale. In v4, chart loading is significantly faster, browsing traces/users/sessions is faster, and the new Observations API v2 and Metrics API v2 perform much better on large projects. Observation-level evaluations now execute in seconds without a ClickHouse query per evaluation.
If you have questions about v4, please ask them in this discussion. We want this to be the central place for user questions on Langfuse Cloud, OSS rollout questions, migration blockers, and product feedback.
What is new in v4?
We are moving to an observation-centric data model based on a new, wide, (mostly) immutable ClickHouse table. This eliminates joins and deduplication at read-time and optimizes for the most performant ClickHouse access patterns.
Current rollout status
Important migration note
If you use older SDK versions, data in the new UI can be delayed by up to 10 minutes.
For real-time data in the new experience, upgrade to:
Links
Weβll keep updating this thread as the rollout evolves, especially around self-hosting and additional migrated surfaces in the product.
Looking forward to your questions and feedback.
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