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Langfuse updates

The full release history for Langfuse — every new feature, pricing change and integration, sourced from their official changelog and social media, then verified by our editors.

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30Updates tracked
1.4Avg. updates / month
Jun 2024Added On
Jun 18Last updated
Sourced from Langfuse's official changelog and social media, verified by our editors.

Showing 6 of 30 updates

Earlier

Feature

Langfuse Enhances Prompt Management with Folders

Langfuse’s new folder organization feature allows users to group prompts by adding slashes (/) in prompt names, creating a clear, hierarchical structure in the UI. This open-source Prompt CMS simplifies version control and collaboration, enabling teams to manage and deploy prompts efficiently without code changes. With client-side caching, Langfuse ensures low-latency prompt retrieval for LLM applications. Visit the documentation to streamline your prompt management today.

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Showcase

Magic Patterns Scales AI Design with Langfuse

Magic Patterns, an AI-powered design platform, enables product teams to create UI components from existing design systems, processing millions of generations for companies like PwC and Zeal. By integrating Langfuse, it achieves 8-minute customer support resolution and 50% monthly growth while maintaining brand consistency. The platform’s multi-model pipeline and post-processing system address complex scaling challenges, ensuring reliable outputs. Discover how Magic Patterns and Langfuse streamline prototyping at magicpatterns.com.

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Company News

Langfuse Open-Sources All Features Under MIT License

Langfuse, a platform for evaluating and managing large language models, has made all its product features, including LLM-as-a-Judge Evaluations and Prompt Experiments, open source under the MIT license, as announced by Marc Klingen. This move enhances accessibility for developers, allowing free use of tools like annotation queues and a playground for testing. The decision aims to foster innovation and collaboration in the AI community.

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Feature

Langfuse Launches OpenTelemetry-Native Python SDK in Beta

Langfuse has released its new OpenTelemetry-native Python SDK, now in public beta, offering seamless context propagation and integration with the OTel ecosystem. The SDK supports three instrumentation styles—decorators, context managers, and manual observations—enhancing developer flexibility. This update simplifies monitoring and debugging for Python applications in complex systems. Install it via pip and share feedback with Langfuse to help refine this tool.

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Feature

Langfuse Simplifies Self-Hosting with Terraform Modules

Langfuse has introduced new Terraform modules for AWS, GCP, and Azure, enabling users to deploy a production-ready Langfuse stack in minutes. These modules leverage native managed services like RDS, S3, and ElastiCache for high availability and autoscaling. This update, announced during Launch Week 3, streamlines self-hosted deployment for developers seeking robust observability tools. Explore the deployment process at langfuse.com.

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Feature

Langfuse Launches Custom Dashboards for Enhanced Metrics Tracking

Langfuse introduces Custom Dashboards, enabling teams to monitor critical metrics like cost, latency, quality, and prompt performance in one centralized view. Users can choose curated templates for quick setup or build personalized dashboards from scratch to gain valuable industry insights. The new Query API allows seamless integration of dashboard data into external apps or analytics stacks. Visit Langfuse’s platform to explore how Custom Dashboards can improve your team’s workflow.

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Disclaimer

The content on this website is written and reviewed by experts in the fields of Artificial Intelligence and Software. Additionally, we may incorporate public opinions sourced from various social media platforms to ensure a comprehensive perspective. Please note that the screenshots and images featured on this website are sourced from Langfuse' website. We extend our gratitude and give full credit to Langfuse for their valuable contributions. This page may include external affiliate links, which could earn us a commission if you decide to make a purchase through those links. However, the opinions expressed on this page are our own, and we do not accept payment for favorable reviews.