Langfuse
langfuse.com · 1,301 words · saved by 3 readers
Open source LLM engineering platform - LLM observability, metrics, evaluations, prompt management.
Langfuse Used by 19 of Fortune 50 10+ billion observations/month 100,000+ engineers building on Langfuse Used by 19 of Fortune 50 10+ billion observations/month 100,000+ engineers building on Langfuse Used by 19 of Fortune 50 10+ billion observations/month 100,000+ engineers building on Langfuse Open Source AI Engineering Platform Trace and evaluate AI Agents. Collaborate with your team to continuously improve quality, cost and latency of your application. Start free S Documentation D Read story Read story Read story Read story Gain deep visibility into your traces Launch, observe, improve — r
saved by
related reading
- LangChain: the open agent platform to own your intelligencelangchain.com
- GitHub - x1xhlol/system-prompts-and-models-of-ai-tools: FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Modelsgithub.com
- Goodfire AIgoodfire.ai
- PromptLayer — Prompt Management, Evals & Observabilitypromptlayer.com
- LLM Visualizationbbycroft.net
- Together AI | The AI Native Cloudtogether.ai
- Parsed | Custom, interpretable AI systems that continuously learnparsed.com
- AI Model & API Providers Analysis | Artificial Analysisartificialanalysis.ai
- Cookbookcookbook.openai.com
- GitHub - traceloop/openllmetry: Open-source observability for your GenAI or LLM application, based on OpenTelemetrygithub.com
- langfuse API documentationpython.reference.langfuse.com
- GitHub - Arize-ai/phoenix: AI Observability & Evaluationgithub.com