langfuse

v3.209.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 17d Tracing

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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 Chores, web, and blobstorage across a mixed release.

Changes in this release

Type	Severity	Summary	CVE
Feature
Feature	Low	feat(web): revamp dark theme with surface elevation, text hierarchy, semantic status colors feat(web): revamp dark theme with surface elevation, text hierarchy, semantic status colors Source: llm_adapter@2026-07-16 Confidence: high	—
Feature	Low	feat(web): add system table view preset category chips feat(web): add system table view preset category chips Source: llm_adapter@2026-07-16 Confidence: high	—
Feature	Low	feat(blobstorage): disable export on deterministic customer‑config faults feat(blobstorage): disable export on deterministic customer‑config faults Source: llm_adapter@2026-07-16 Confidence: high	—
Dependency	Low	chore(fetch-llm-completion): add remaining AI SDK adapters chore(fetch-llm-completion): add remaining AI SDK adapters Source: llm_adapter@2026-07-16 Confidence: high	—
Bugfix
Bugfix	Medium	fix(evals): stop offering new trace‑level evals to v4‑toggle cohort on Cloud fix(evals): stop offering new trace‑level evals to v4‑toggle cohort on Cloud Source: llm_adapter@2026-07-16 Confidence: high	—
Bugfix	Medium	fix(datasets): show empty state for filtered run compare view fix(datasets): show empty state for filtered run compare view Source: llm_adapter@2026-07-16 Confidence: high	—
Bugfix	Medium	fix(otel): map input/output from gen_ai.client.inference.operation.details span events fix(otel): map input/output from gen_ai.client.inference.operation.details span events Source: llm_adapter@2026-07-16 Confidence: high	—
Refactor	Low	refactor(events): update SDK metadata extraction for OTel compatibility refactor(events): update SDK metadata extraction for OTel compatibility Source: llm_adapter@2026-07-16 Confidence: high	—
Refactor	Low	chore(shared): document ms‑aligned start_time assumption in v2 observations cursor (LFE-10405) chore(shared): document ms‑aligned start_time assumption in v2 observations cursor (LFE-10405) Source: llm_adapter@2026-07-16 Confidence: high	—
Other	Low	chore: pipeline blob storage cleanup deletes and batch tombstone inserts chore: pipeline blob storage cleanup deletes and batch tombstone inserts Source: llm_adapter@2026-07-16 Confidence: high	—

Full changelog

What's Changed

Features

feat(blobstorage): disable export on deterministic customer-config faults by @niklassemmler in https://github.com/langfuse/langfuse/pull/14628
feat(web): dark theme revamp — surface elevation, text hierarchy, semantic status colors by @nmtrang29 in https://github.com/langfuse/langfuse/pull/14873
feat(web): system table view preset category chips by @nmtrang29 in https://github.com/langfuse/langfuse/pull/14774

Fixes

fix(evals): stop offering new trace-level evals to v4-toggle cohort on Cloud by @marliessophie in https://github.com/langfuse/langfuse/pull/14924
fix(datasets): show empty state for filtered run compare by @marliessophie in https://github.com/langfuse/langfuse/pull/14893
fix(otel): map input/output from gen_ai.client.inference.operation.details span events by @hassiebp in https://github.com/langfuse/langfuse/pull/14930

Chores

chore: pipeline blob storage cleanup deletes and batch tombstone inserts by @sumerman in https://github.com/langfuse/langfuse/pull/14910
docs(readme): add hiring message by @jannikmaierhoefer in https://github.com/langfuse/langfuse/pull/14919
refactor(events): update SDK metadata extraction for OTel compatibility by @marliessophie in https://github.com/langfuse/langfuse/pull/14917
chore(fetch-llm-completion): add remaining AI SDK adapters by @hassiebp in https://github.com/langfuse/langfuse/pull/14854
chore(shared): document ms-aligned start_time assumption in v2 observations cursor (LFE-10405) by @niklassemmler in https://github.com/langfuse/langfuse/pull/14926

Full Changelog: https://github.com/langfuse/langfuse/compare/v3.208.0...v3.209.0

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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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