{"id":"8b75c396-230f-4dbb-b4c9-eec12716232b","shortId":"eyH5M8","kind":"skill","title":"Langfuse LLM Observability Platform and SDK","tagline":"Use Langfuse to capture prompts, traces, generations, evaluations, and cost telemetry for LLM applications and agent workflows. This skill turns Langfuse from a generic observability brand into a concrete implementation pattern for tracing and analyzing model behavior.","description":"# Langfuse LLM Observability Platform and SDK\n\nUse Langfuse to capture prompts, traces, generations, evaluations, and cost telemetry for LLM applications and agent workflows. This skill turns Langfuse from a generic observability brand into a concrete implementation pattern for tracing and analyzing model behavior.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- git clone https://github.com/langfuse/langfuse.git\n- docker compose up\n- pip install langfuse openai\n\nRequirements and caveats from upstream:\n- \n- ![\"Docker](\"https://img.shields.io/docker/pulls/langfuse/langfuse?labelColor=%20%23FDB062&logo=Docker&labelColor=%20%23528bff\")
\n- ![\"langfuse](\"https://img.shields.io/pypi/dm/langfuse?logo=python&logoColor=white&label=pypi%20langfuse&color=blue\")
\n\nBasic usage or getting-started notes:\n- [Comprehensive API](https://langfuse.com/docs/api): Langfuse is frequently used to power bespoke LLMOps workflows while using the building blocks provided by Langfuse via the API. OpenAPI spec, Postman collection, and...\n- Run Langfuse on your own infrastructure:\n- [Kubernetes (Helm)](https://langfuse.com/self-hosting/kubernetes-helm): Run Langfuse on a Kubernetes cluster using Helm. This is the preferred production deployment.\n\n- Source: https://github.com/langfuse/langfuse\n- Extracted from upstream docs: https://raw.githubusercontent.com/langfuse/langfuse/HEAD/README.md\n\n## Source\n\n- [Agent Skill 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