Olore Langfuse Latest

Organization

olorehq

olore-langfuse-latest

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

Overview

Publisher	olorehq
Repository	`olore`
Skill name	`olore-langfuse-latest`
Stars	103
Forks	6
Bundled files	97
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
97 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by olorehq on GitHub. Read the source before you install it.

Installation

Install the Olore Langfuse Latest AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/olorehq/olore.git /tmp/olore
mkdir -p .claude/skills
cp -r /tmp/olore/vault/packages/langfuse/latest .claude/skills/olore-langfuse-latest

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Olore Langfuse Latest in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Olore Langfuse Latest on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Olore Langfuse Latest is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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}

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 37 more files.

Frequently asked questions

What does the Olore Langfuse Latest AI skill do?

Why use Olore Langfuse Latest on TypingMind?

Because you install it once and use it with any model. Olore Langfuse Latest is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Olore Langfuse Latest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/olorehq/olore/tree/main/vault/packages/langfuse/latest. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Olore Langfuse Latest?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Olore Langfuse Latest?

As many as you like. As long as a model supports skills, you can use Olore Langfuse Latest with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Olore Langfuse Latest AI skill free?

Yes. It is published on GitHub by olorehq under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Langfuse Documentation

Documentation Structure

Topic Guide

When to use

How to find information

Bundled files

Frequently asked questions

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