olore-langfuse-latest - SKILL.md Agent Skill

name: olore-langfuse-latest description: Local Langfuse documentation reference (latest). Langfuse LLM observability documentation. Use for LLM tracing, evaluation, prompt management, datasets, experiments, OpenTelemetry integration, and SDK setup.

Langfuse Documentation

Langfuse is an open-source AI engineering platform for LLM observability, prompt management, and evaluation. Use this skill when working on LLM tracing, evaluation workflows, prompt versioning, datasets, experiments, or any Langfuse SDK integration.

Documentation Structure

contents/
├── index.mdx               # Platform overview (start here)
├── v4.mdx                  # Fast Preview / v4 migration guide
├── security-and-guardrails.mdx
├── observability/          # LLM tracing, SDK, features (35 files)
├── prompt-management/      # Prompt versioning, caching, CI/CD (19 files)
├── evaluation/             # Scores, datasets, experiments, judges (16 files)
├── api-and-data-platform/  # REST API, export, MCP server (10 files)
├── administration/         # Auth, SSO, RBAC, data retention (9 files)
└── metrics/                # Dashboards and metrics API (3 files)

Topic Guide

Topic	Key Files
Getting started with tracing	`contents/observability/get-started.mdx`, `contents/observability/sdk/instrumentation.mdx`
SDK setup (Python/JS)	`contents/observability/sdk/overview.mdx`, `contents/observability/sdk/instrumentation.mdx`
SDK migration	`contents/observability/sdk/upgrade-path/python-v3-to-v4.mdx`, `contents/observability/sdk/upgrade-path/js-v4-to-v5.mdx`
v4 Fast Preview upgrade	`contents/v4.mdx`
Trace data model	`contents/observability/data-model.mdx`
Agent tracing	`contents/observability/features/agent-graphs.mdx`, `contents/observability/features/mcp-tracing.mdx`
Sessions and users	`contents/observability/features/sessions.mdx`, `contents/observability/features/users.mdx`
Cost tracking	`contents/observability/features/token-and-cost-tracking.mdx`
Sampling and masking	`contents/observability/features/sampling.mdx`, `contents/observability/features/masking.mdx`
Prompt management	`contents/prompt-management/get-started.mdx`, `contents/prompt-management/overview.mdx`
Prompt versioning	`contents/prompt-management/features/prompt-version-control.mdx`
Prompt variables and templates	`contents/prompt-management/features/variables.mdx`, `contents/prompt-management/features/message-placeholders.mdx`
Prompt caching	`contents/prompt-management/features/caching.mdx`
A/B testing prompts	`contents/prompt-management/features/a-b-testing.mdx`
LLM-as-a-judge evaluation	`contents/evaluation/evaluation-methods/llm-as-a-judge.mdx`
Scores and scoring	`contents/evaluation/scores/overview.mdx`, `contents/evaluation/evaluation-methods/scores-via-sdk.mdx`
Datasets	`contents/evaluation/experiments/datasets.mdx`
Running experiments	`contents/evaluation/experiments/experiments-via-sdk.mdx`, `contents/evaluation/experiments/experiments-ci-cd.mdx`
Annotation / human eval	`contents/evaluation/evaluation-methods/annotation-queues.mdx`
Public REST API	`contents/api-and-data-platform/features/public-api.mdx`
Querying data	`contents/api-and-data-platform/features/query-via-sdk.mdx`
Data export	`contents/api-and-data-platform/features/export-from-ui.mdx`, `contents/api-and-data-platform/features/export-to-blob-storage.mdx`
MCP server (authenticated)	`contents/api-and-data-platform/features/mcp-server.mdx`
Auth / SSO / RBAC	`contents/administration/authentication-and-sso.mdx`, `contents/administration/rbac.mdx`
Data retention and deletion	`contents/administration/data-retention.mdx`, `contents/administration/data-deletion.mdx`

When to use

Use this skill when the user asks about:

Setting up Langfuse tracing in Python or JavaScript/TypeScript
Integrating Langfuse with LLM frameworks (LangChain, LlamaIndex, OpenAI, etc.)
Prompt management, versioning, and deployment via Langfuse
Evaluation workflows: LLM-as-a-judge, code evaluators, annotation queues
Datasets and experiment tracking in Langfuse
Migrating to SDK v4 (Python) or v5 (JS) / Fast Preview
Querying Langfuse data via SDK or public REST API
Exporting traces to S3/GCS or other blob storage
Configuring SSO, RBAC, or data retention in Langfuse
OpenTelemetry and distributed tracing with Langfuse

How to find information

Use the Topic Guide above to identify relevant files
Read TOC.md for the complete file listing by directory
Read specific files from contents/{path}