--- title: "Langfuse Integration for Rig: Query Langfuse Data in Plain English" description: "Connect Langfuse to Rig and query your Langfuse data in plain English, or ask it in Claude, ChatGPT and Cursor. Governed, validated answers from your warehouse." canonical: "https://rig.so/integrations/langfuse" format: markdown --- Browse integrations ![Langfuse logo](https://img.logo.dev/langfuse.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=112&format=png&retina=true) Analytics & product Supported # Langfuse integration for Rig ## The easiest way to connect Langfuse to Claude and other AI tools Langfuse is an open-source LLM observability platform that traces model calls, scores outputs and tracks token usage, cost and latency. [Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo) ## What Rig syncs from Langfuse Once connected, Rig models these objects so questions resolve to the right tables and joins: - Traces - Observations and spans - Generations - Scores - Prompts - Token usage - Costs - Latency ## How Langfuse connects to Rig Rig Ingest syncs your Langfuse traces, generations and scores into your warehouse on a schedule. Rig then models traces, prompts and token usage so cost, latency and quality questions resolve correctly. ## Analyse token cost and LLM spend Token cost is the dollar spend of model usage across prompt and completion tokens. Rig reads Langfuse generations and cost data, so you can break spend down by model, prompt, feature and time, and see what is driving your LLM bill without exporting Langfuse dashboards. Ask Rig - What is total LLM token cost by model this month? - Which feature drives the most spend per request? - Show daily token cost trend over the last 30 days ## Track latency and error rates by feature Rig reads Langfuse trace timings and statuses, so you can measure p50 and p95 latency and error rates per feature and model. Engineering teams see where users wait or calls fail before it shows up in complaints. Ask Rig - What is p95 latency by feature this week? - Which model has the highest error rate? - Show latency trend for the chat endpoint over 14 days ## Measure prompt and version quality scores By joining Langfuse scores to prompts and versions, Rig shows how output quality changes as you iterate. Teams see whether a new prompt version actually improved evaluation scores across traces. Ask Rig - How did quality scores change after the latest prompt version? - Which prompt version has the highest average score? - Show score distribution by feature this month ## Analyse trace volume and usage by feature Rig rolls up Langfuse traces by feature, model and user, so you can see request volume and how usage is growing. Product teams see which AI features are gaining traction and which models carry the load. Ask Rig - How many traces did each feature generate this month? - Which AI feature is growing fastest in usage? - Show trace volume by model over the last 90 days ## Ask your Langfuse data in Claude, ChatGPT or Cursor Rig serves your Langfuse data to AI assistants over MCP. Once Langfuse is synced into your warehouse, you can ask questions in plain English from the tool you already use, and every answer is backed by validated, governed SQL. - [Claude](https://rig.so/integrations/claude) - [Claude Code](https://rig.so/integrations/claude-code) - [Cursor](https://rig.so/integrations/cursor) - [ChatGPT](https://rig.so/integrations/chatgpt) - [Codex](https://rig.so/integrations/codex) - [Gemini](https://rig.so/integrations/gemini) ## Frequently asked questions What Langfuse data does Rig sync? Traces, observations and spans, generations, scores, prompts, token usage, costs and latency, with the trace structure preserved. Can Rig break down LLM cost and latency by feature? Yes. Rig models Langfuse traces and generations in your warehouse, so cost, latency, error-rate and quality questions are answered in plain English. Can I query Langfuse data in Claude or ChatGPT? Yes. Once Langfuse is synced to your warehouse, Rig serves it to Claude, ChatGPT, Cursor and other AI tools over MCP. How often does Langfuse data refresh? Rig Ingest syncs on a schedule you set so traces, costs and scores stay current. ## Related integrations [![Fairing logo](https://img.logo.dev/fairing.co?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)FairingPost-purchase survey answers joined to the orders that generated them.](https://rig.so/integrations/fairing)[![Google Analytics 4 logo](https://img.logo.dev/analytics.google.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Google Analytics 4Funnel, channel and conversion analytics from your GA4 events.](https://rig.so/integrations/google-analytics-4)[![Google Search Console logo](https://img.logo.dev/search.google.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Google Search ConsoleDaily organic search clicks, impressions, CTR and position by query and page.](https://rig.so/integrations/google-search-console)[![Google Tag Manager logo](https://img.logo.dev/tagmanager.google.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Google Tag ManagerYour whole tag, trigger and variable configuration as queryable tables.](https://rig.so/integrations/google-tag-manager)[![KnoCommerce logo](https://img.logo.dev/knocommerce.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)KnoCommerceMulti-question post-purchase surveys joined to orders and customers.](https://rig.so/integrations/knocommerce)[![Microsoft Clarity logo](https://img.logo.dev/clarity.microsoft.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Microsoft ClarityDaily engagement, scroll depth and rage-click snapshots from Clarity.](https://rig.so/integrations/microsoft-clarity) ## Connect Langfuse data to AI tools like Claude Rig builds a governed context layer over your data so every team, and every AI tool, asks questions and gets answers they can trust. [Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo) --- - [This page as HTML](https://rig.so/integrations/langfuse) - [Site map for language models](https://rig.so/llms.txt) - [API and agent documentation](https://rig.so/developers)