langfuse avatar

Langfuse Integration Page

If you maintain Langfuse docs and need to add a new integration page, this handles the entire scaffold. It writes the Jupyter notebook with the correct metadata block and STEPS_START wrapper, updates the routes JSON, and tries to grab the partner logo. The skill knows the four integration categories (model providers, frameworks, gateways, other) and the four instrumentation patterns (OpenInference, OpenAI drop-in, framework-native, OTEL direct), so it asks you the right questions up front and picks the matching template. It won't run the 10-minute build script for you, but everything it produces is ready for nbconvert once you do. Useful when you have working code or partner docs and just want them turned into the house format without touching JSON by hand.

GitHub stars
210
last updated
Jun 11, 2026

Install

$ npx -y skills add langfuse/langfuse-docs --skill langfuse-integration-page --agent claude-code

Installs into .claude/skills of the current project.

Files

Langfuse integration page creator

This skill scaffolds a new integration page for the langfuse-docs site. Integration pages live as Jupyter notebooks in cookbook/integration_<slug>.ipynb and are converted to MDX by scripts/update_cookbook_docs.sh using the mapping in cookbook/_routes.json. Getting the notebook metadata block, the STEPS_START/STEPS_END wrapper, and the routes entry right is the whole job — once those are correct, the build does the rest.

What to produce

Three things, always, in the user's langfuse-docs checkout:

  1. A new notebook at cookbook/integration_<slug>.ipynb that matches the house template (see "Notebook structure" below).
  2. A new entry appended to cookbook/_routes.json pointing at the notebook and the target docsPath.
  3. A best-effort logo download into public/images/integrations/<slug>_icon.<ext>. If fetching fails, leave a TODO for the user.

Do not run scripts/update_cookbook_docs.sh yourself — that regenerates many files and is slow (~10 min build). The user runs it when they're ready.

Step 1 — Gather what you need, up front

Sponsors

Details

Repository
github.com/langfuse/langfuse-docs
Categories
Backend & APIs, Documentation, Data Science & ML, Automation & Workflows
License
MIT
First seen
Jun 11, 2026

More from langfuse/langfuse-docs

All 3
1lbds137 avatartzurot-council-mcplbds137/tzurotBest practices for using the Council MCP server in Tzurot v3 development - When to consult external AI, how to structure prompts, model selection, and multi-tur0skills.sh installs
2metabase avataradd-malli-schemasmetabase/metabaseEfficiently add Malli schemas to API endpoints in the Metabase codebase with proper patterns, validation timing, and error handling0skills.sh installs
3microsoft avatarazure-cloud-migratemicrosoft/github-copilot-for-azureAssess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/0skills.sh installs
4microsoft avatarazure-upgrademicrosoft/github-copilot-for-azureAssess and upgrade Azure workloads between plans, tiers, or SKUs, or modernize Azure SDK dependencies in source code. WHEN: upgrade Consumption to Flex Consumpt0skills.sh installs
5neovateai avataradd-nodebridge-handlerneovateai/neovate-codeWhen you need to extend the NodeBridge messaging system between the UI and Node.js backend, this walks you through the three-file dance:...0skills.sh installs
6nicepkg avatarpexels-medianicepkg/ai-workflowSource royalty-free images and videos from Pexels API for design, placeholders, or content. Supports search, curated/popular content, collections, multiple reso0skills.sh installs