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langfuse

v3.199.0 Feature

This release adds 4 notable features for engineering teams evaluating rollout.

Published 1mo Tracing
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

analytics autogen evaluation langchain large-language-models llama-index
+12 more
llm llm-evaluation llm-observability llmops monitoring observability openai playground prompt-engineering prompt-management self-hosted ycombinator

Summary

AI summary

Updates v4, sfdc, and trace across a mixed release.

Full changelog

Features

  • feat(v4): add legacy api usage page by @maxdeichmann in https://github.com/langfuse/langfuse/pull/14558
  • feat(sfdc): send langfuseDataRegion on updateOrg by @Steffen911 in https://github.com/langfuse/langfuse/pull/14527
  • feat(trace): show subtree wall-clock duration on observations (LFE-10475) by @nkabardin in https://github.com/langfuse/langfuse/pull/14537
  • feat(v4): add upgrade status tiles by @maxdeichmann in https://github.com/langfuse/langfuse/pull/14567
  • feat(worker): replace blob export delay gauge with keep-up ratio (LFE-10521) by @niklassemmler in https://github.com/langfuse/langfuse/pull/14580

Fixes

  • fix(filters): persist global time range across views (URL ⊕ localStorage) (LFE-10497) by @nkabardin in https://github.com/langfuse/langfuse/pull/14535
  • fix(trace-timeline): anchor gantt origin to earliest start; stop truncating Timeline label (LFE-10496) by @nkabardin in https://github.com/langfuse/langfuse/pull/14539
  • fix(date-picker): first calendar click starts a new range (LFE-8156) by @nkabardin in https://github.com/langfuse/langfuse/pull/14536
  • fix(v4): fill empty timeline buckets by @maxdeichmann in https://github.com/langfuse/langfuse/pull/14571
  • fix(v4): use auto timeline granularity by @maxdeichmann in https://github.com/langfuse/langfuse/pull/14566

Full Changelog: https://github.com/langfuse/langfuse/compare/v3.198.0...v3.199.0

View diff on GitHub

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About langfuse

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. YC W23

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Beta — feedback welcome: [email protected]