Open-source LLM observability and engineering platform.
Traces every LLM call and agent workflow with native SDKs
Tracks token usage, costs, latency, and user feedback
Manages prompt versions with playground and A/B experiments
Automated and human evaluations with LLM-as-a-judge and custom metrics
Source: Langfuse·Verified March 2026
No integrations listed yet for Langfuse.
LLM-as-a-judge evaluations, AI-assisted prompt optimization, and deep observability into AI agent and LLM call behavior in production.
Source: Langfuse·Verified March 2026
One of the best tools for understanding what your AI application does in production. Open-source, generous free tier, framework-agnostic. If building LLM products and tracking performance and quality, Langfuse belongs on your shortlist.
Video guides showing how to set up tracing and monitoring for AI workflows to improve reliability and performance.
Official blog with deep dives into LLM observability, evaluation strategies, and product updates for AI application developers.
Step-by-step quickstart guide to instrument your first AI application and start capturing traces in Langfuse.
Official documentation covering how to integrate Langfuse to trace, monitor, and evaluate your LLM-powered applications.
AI-generated training guides tailored to your team's size, skill level, and focus areas for Langfuse — coming in v0.3.2.
View our roadmap →We're building a review system so business owners like you can share real experiences with Langfuse.
Last researched: March 2026
