Changelog

Introducing the Langfuse Evaluator Library with prebuilt evaluators. Plus, enjoy a revamped UX with trace and variable previews for easier LLM evaluation.

The latest generation of the Langfuse Python SDK, built on the OpenTelemetry framework.

Langfuse says hello to Anthropic Claude Sonnet 4 & Opus 4 with day 1 support for both the LLM playground, LLM-as-a-judge and cost tracking.

Deploy Langfuse on AWS, GCP, or Azure using our new Terraform modules.

Create your own custom dashboards or use Langfuse-curated dashboards to analyze and understand your AI application deeply.

Pin your favorite table settings and share them with a single link.

Find content in inputs and outputs of your traces and observations with full text search.

Control which product modules are visible in the main menu through environment variables when self-hosting Langfuse

Build custom reports and dashboards with our flexible Metrics API. Query traces, observations, and scores with custom dimensions, metrics, and time granularity.

Score dataset runs to assess the overall quality of each run

Create and manage scores at the session level for more comprehensive evaluation of conversational AI applications

Easily copy the source markdown of documentation pages with a single click. Paste it into ChatGPT, Cursor, Windsurf and move way faster while using Langfuse.

Langfuse launches same day full compatibility with OpenAI's latest models o3 and o4-mini

Langfuse now offers compatibility for OpenAI's new series of GPT models 4.1, 4.1-mini and 4.1-nano.

Langfuse now supports administrative actions via APIs across organizations and projects.

Langfuse now supports protected prompt labels for better access control over your prompt deployment workflow

Langfuse says hello to Gemini 2.5 Pro Experimental. Support added for the LLM playground.

Define and test tool calls and structured output schemas directly in the Langfuse Playground

Quickly navigate trace details in the table view via keyboard shortcuts or by clicking on the table rows.

Our redesigned prompt view brings enhanced visualization, version comparison, and search capabilities.

Introducing our redesigned trace view with improved hierarchy visualization, timeline/tree toggle, and powerful search capabilities.

Trace your OpenAI Response API calls with our Python and JS SDKs

Evaluation scores can now be exported in bulk directly from the Langfuse UI for easier analysis and reporting. Supports CSV and JSON formats.

Access and manage your annotation queues programmatically with our new Public API endpoints.

Create modular, reusable prompts by referencing existing prompts within other prompts.

Use native environment to separate staging, dev, and production systems within the same Langfuse project.

When self-hosting or on Langfuse Cloud Teams Plan, you can now use WorkOS as an Identity Provider (IdP).

Dataset items and runs can now also be permanently deleted via the API and UI. Until now, these could only be archived.

You can now duplicate dataset items into other datasets and add them to many datasets at once when creating a new dataset item from a trace.

Langfuse offers a new Java API client for easy integration with your Java applications.

Langfuse now offers full support for OpenAI's GPT-4.5, featuring day-one integration with our LLM playground, LLM-as-a-judge evaluation system, and comprehensive cost tracking capabilities.

New onboarding screens that introduce the capabilities of Langfuse features that are not yet used within a project.

Langfuse says hello to Anthropic Claude 3.7 Sonnet with day 1 support for both the LLM playground, LLM-as-a-judge and cost tracking.

Langfuse now supports access to Gemini models via Google AI Studio.

You can now choose to execute LLM-as-a-judge evaluations on existing, new, or all data.

Use Langfuse prompts in your LLM Agent systems, Claude Desktop, and Cursor and other MCP Clients via the new MCP Server.

Push your OpenTelemetry Spans to Langfuse

Together with LiteLLM, we launch the OSS LLMOps Stack which is a popular, well-integrated and battle-tested LLMOps stack that can easily be self-hosted and extended.

Follow your LangGraph agent execution on a graph view

Quickly select all items subject to your filters and perform actions on them.

Focus on the most relevant elements of your trace by using log-level filters

Langfuse says hello to Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro. Support added for both the LLM playground and cost tracking.

Access all of Langfuse public API resources via a typed client in our SDKs

Two hours ago, OpenAI released the latest version of their o3-mini model. Langfuse now supports this model in both the LLM playground and cost tracking.

Quickly access different Langfuse features and switch between projects via the Cmd+K menu.

Automatically remove event data outside of a specified retention period.

Langfuse now has a new API Reference with interactive examples.

Complex prompts are easier to edit with our new prompt editor, which supports variable highlighting.

Trace sampling is now supported in the JS SDK and integrations.