Releasesby IbisLangfuse 4.59.0
UpdateyesterdayUnverifiedAdded Oct 15, 2026
- feat(llm-connections): label TypeSafe adapter as "TypeSafe (System One)" in picker - perf(worker): poll queue metrics once per interval across workers - ci(notifications): stop sending redundant title, branch, and event to Slack - chore(pricing): correct Claude Sonnet 5.5 cache-read price - fix(web): Improve tool response handling in sessions - fix(web)...
Topics: LLMs, Governance, Pricing, Observability, Developer tools
More Langfuse releases
Every Langfuse releaseLangfuse 4.58.0
Features - feat(web): require Turnstile on password-reset emails - feat(ci): bump dependabot to opus5.5 - feat(otel): extract media before TypeScript parsing - feat(media): add upload pool with concurrency and byte limits - feat(worker): per-project trace idle time in tracing_readiness_settings - feat(topics): configure Topics on the project's own LLM...
Langfuse 4.57.0
Features - feat(ee): refuse FIPS mode with storage options that compute MD5 - feat(worker): add optional startup jitter before queue registration - feat(auth): hash passwords with PBKDF2 in FIPS mode - feat(web): restore optional Cloudflare Turnstile captcha on credential auth - feat(web): carry the typed email over to the password reset form -...
Langfuse 4.56.0
Features - feat(web): design-system CodeSection replaces CodeView - feat(sessions): Add syntax highlighting to session tool previews - feat(billing): send spend alerts for ClickHouse-billed organizations - feat(web): ask new users what they will use Langfuse for - feat(topics): add adaptive map exploration and compact workspace - feat(evals): revamp...
Langfuse 4.55.0
Features - feat(docker): create zero vuln base images and add fips mode - feat(topics): rework the summary system prompt and default facets - feat(web): show ClickHouse organization id in org debug information - feat(topics): summarize all facets of a trace in one call - feat(skills): import skills from local files and ZIPs - feat(skills): add rendered file...
Langfuse 4.54.0
Features - feat(topics): classify traces into buckets - feat: add external media storage integration - feat(scores): compile experiment-item and prompt-event reads through the query AST - feat(openai): add structured review output and enhance customer response fixtures - feat(analytics): track user-visible error toasts - feat(sessions): Make session view...
Langfuse 4.53.0
Features - feat(ai-gateway): expose resolution context in response headers, spans and logs Fixes / Improvements - fix(web): zinc neutral tokens, surface tokens, observation line and fill colours - fix(evals): skip Bedrock URL media interpolation - fix(web): filled badge variant, score and tag chips built on it - fix(web): tab bar labels at 14px with a...
Langfuse 4.52.0
Features - feat(trace-batch): bound batches by estimated weight and exclude oversized traces - feat(web): show the organization usage breakdown on every deployment - feat(auth): remember the last enterprise SSO email on the sign-in form Fixes - fix(llm): drop retired and superseded models from the Vertex AI default list - fix(web): unify card surface across...
Langfuse 4.51.0
Features - feat(mcp): support decision-model evaluators - feat(experiments): annotate directly from comparison grid - feat(audit-logs): log actor info for audited actions and deletions - feat(web): pin evaluator actions during table scrolling - feat(ai-gateway): correlate requests with a gateway request ID - feat(skills): unify file and folder uploads -...
Also shipped on Oct 14, 2026
Langfuse in October 2026Workspace-level package repositories for Databricks Apps are generally available
Workspace admins can now configure default Python and npm package repositories for Databricks Apps. Apps inherit the workspace configuration while still allowing app-level overrides. See Configure default package repositories .
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA)
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA). This integration lets you use the metastore as a serverless, central metadata layer, enabling seamless data sharing and unified querying across Apache Spark, Apache Hive, and BigQuery.
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA)
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA). You can perform a one-time backfill migration or dry run to migrate metadata from a Dataproc Metastore service to an Apache Iceberg REST catalog endpoint or a Hive catalog endpoint using the Google Cloud console, the gcloud CLI, or the REST API.
Conversational analytics now lets you create a conversation with all of the data sources in multiple...
Conversational analytics now lets you create a conversation with all of the data sources in multiple projects, or create a conversation with a dataset . These features are generally available (GA).
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise . This feature is now generally available (GA).
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the...
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the function output as a comma-separated list of fields. This feature is generally available (GA).