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2025

Langfuse WrappedLangfuse Wrapped

A year in review

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To the Builders...

Big thanks to all contributors of 2025!

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Contributors

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Merged PRs

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GH Discussions

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GitHub Stars

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A Year of Launches...

We have shipped a ton of new features this year.

hold hover to ⭐ your favorite launches of the year

January

11 launches

⭐-Audit Logs ⭐-Track changes between prompt versions ⭐-Configure additional HTTP headers for LLM API keys ⭐-Dataset CSV upload ⭐-Commit Messages on Prompt Versions ⭐-Cmd+K Menu ⭐-Project-level Data Retention Policies ⭐-New API Reference ⭐-New Prompt Editor ⭐-JS/TS SDK supports trace sampling ⭐-OpenAI o3-mini support for playground and cost tracking

February

14 launches

⭐-Typed public API client in SDKs ⭐-Gemini 2.0 support for playground and cost tracking ⭐-Use JsonPath to select from Input, Output, or Metadata values in LLM as a Judge ⭐-Trace UI filtered view by log-level ⭐-Select all items in tables with a single click ⭐-OpenTelemetry Tracing Support ⭐-Open Source LLMOps Stack ⭐-Graph view for LangGraph traces ⭐-Model Context Protocol Prompt Server ⭐-Execute LLM-as-a-judge evaluations on existing data ⭐-Claude 3.7 Sonnet support ⭐-Google AI Studio support ⭐-Improved In-Product Onboarding ⭐-OpenAI GPT-4.5 support

March

14 launches

⭐-Langfuse Java Client ⭐-Delete dataset items and runs ⭐-Dataset items: Duplicate and add to many ⭐-Add support for WorkOS Identity Provider ⭐-Add support for Native Environments ⭐-Prompt Composability ⭐-Batch-export Scores via UI ⭐-Public API for Annotation Queues ⭐-OpenAI Response API support in SDKs ⭐-New Prompt View ⭐-New Trace View ⭐-Traces Table Peek View ⭐-Tool Calling and Structured Output in Playground ⭐-Playground support for Gemini 2.5 Pro Experimental

April

6 launches

⭐-Protected prompt labels ⭐-OpenAI 4.1 support for playground, evaluations and cost tracking ⭐-Admin APIs for Organization and Project Management ⭐-OpenAI o3 and o4-mini integration for playground, evaluations and cost tracking ⭐-Copy Docs as Markdown ⭐-Session Level Scores

May

11 launchesLaunch Week

⭐-Dataset Run Level Scores ⭐-Metrics API for custom analytics ⭐-Customize Product Module Visibility ⭐-Full Text Search ⭐-Save and share table views ⭐-Custom Dashboards ⭐-Claude Sonnet and Opus 4 support ⭐-Terraform Modules for AWS, Azure and GCP ⭐-OTEL-based Python SDK ⭐-Langfuse Evaluator Library ⭐-Pipecat Tracing Integration

June

9 launches

⭐-Open Sourcing all Product Features ⭐-Python SDK v3 is now Generally Available ⭐-OpenAI o3-pro and updated prices for o3 reflected in Langfuse cost tracking ⭐-Organize Your Prompts in Folders ⭐-CSV Download for Dashboard Charts ⭐-Exports of Datasets and Audit Logs ⭐-Improved JSON Handling in LangChain Prompts ⭐-Agentic Onboarding & Docs MCP Server ⭐-Histogram Charts in Custom Dashboards

July

13 launches

⭐-Pivot Tables in Custom Dashboards ⭐-Search to Navigate Large Prompt Collections ⭐-Message Placeholders in Chat Prompts ⭐-Gemini 2.5 Pro, Flash, and Flash Lite support for playground, evaluations, and cost tracking ⭐-n8n Node for Langfuse Prompt Management ⭐-Webhooks for Prompt Changes ⭐-AWS SDK Default Credential Provider Chain Support ⭐-Full-Text Search Across Prompt Content ⭐-Trigger Remote Custom Evaluations from the Langfuse UI ⭐-LiveKit Agents Tracing Integration ⭐-LLM Playground with Side-by-Side Comparison ⭐-Sessions in Annotation Queues ⭐-Slack Integration for Prompt Webhooks

August

8 launches

⭐-Annotation Queue Assignments ⭐-Docs now available as Markdown (.md) endpoints ⭐-OpenAI GPT-5 pricing now available in Langfuse ⭐-Additional provider options in LLM calls in playground and evals ⭐-Full-Text Search Across Dataset Items ⭐-New End-to-End Walkthrough Videos ⭐-Additional Observation Types for More Meaningful Span Context ⭐-TypeScript SDK v4 (GA)

September

4 launches

⭐-Experiment Runner SDK ⭐-Mutable Score Configs ⭐-Natural Language Filtering for Traces ⭐-Structured Output Support for Prompt Experiments

October

3 launches

⭐-Spend Alerts ⭐-LLM-as-a-Judge Execution Tracing & Enhanced Observability ⭐-Langchain v1 Support

November

15 launchesLaunch Week

⭐-Advanced Filtering for Public Traces and Observations API ⭐-Filter Sidebar for Tables ⭐-Amazon Bedrock AgentCore Integration ⭐-@Mentions and Reactions in Comments ⭐-IdP-Initiated SSO Support ⭐-Mixpanel integration ⭐-Langfuse for Agents ⭐-Annotation Support in Experiment Compare View ⭐-Baseline Support in Experiment Compare View ⭐-Filters in Compare View ⭐-Score Analytics with Multi-Score Comparison ⭐-Organize Your Datasets in Folders ⭐-JSON Schema Enforcement for Dataset Items ⭐-OpenAI GPT-5.1 support ⭐-Hosted MCP Server for Langfuse Prompt Management

December

6 launches

⭐-Pricing Tiers for Accurate Model Cost Tracking ⭐-Batch Add Observations to Datasets ⭐-OpenAI GPT-5.2 support ⭐-Dataset Item Versioning ⭐-v2 Metrics and Observations API (Beta)⭐-Filter Observations by Tool Calls and add Tool Calls to Dashboard Widgets

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Powering the Greatest...

We couldn't be prouder to work with these companies.

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"Langfuse hits the sweet spot between engineering requirements and empowerment of non-technical users to contribute their domain expertise."

"Langfuse hits the sweet spot between engineering requirements and empowerment of non-technical users to contribute their domain expertise."

Andreas Schuster

Head of Product, AI Help Experience at Canva

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"Building on Langfuse we saved 30% of external BPO cost by deflecting 50% of support conversations to AI."

"Building on Langfuse we saved 30% of external BPO cost by deflecting 50% of support conversations to AI."

Ana Casado

Head of Operations Data and AI at SumUp

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"In just a few minutes you're up and running, and you're already able to see what's going on."

"In just a few minutes you're up and running, and you're already able to see what's going on."

Niels Rogge

Machine Learning Engineer at Hugging Face

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"Langfuse has enabled our developers to get extremely fast feedback. It's fundamental to how our developers understand their AI implementations."

"Langfuse has enabled our developers to get extremely fast feedback. It's fundamental to how our developers understand their AI implementations."

Walt Wells

Staff Software Engineer at Khan Academy

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And thousands more...

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"Langfuse enables us to track every prompt, response, cost, and latency in real time, turning black-box models into auditable, optimizable assets."

"Langfuse enables us to track every prompt, response, cost, and latency in real time, turning black-box models into auditable, optimizable assets."

Walid Mehanna

Chief Data & AI Officer at Merck

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"When a customer pings us, we instantly open Langfuse. This allows keeping support resolution under 8 minutes."

"When a customer pings us, we instantly open Langfuse. This allows keeping support resolution under 8 minutes."

Alexander Danilowicz

Co-founder at Magic Patterns

Thank you for being part of this journey!

If there was one thing we could wish for...

Leave a ⭐ on GitHub

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