Langfuse

CommunityPopular

Anil-matcha

langfuse

Read and write Langfuse: browse traces and observations, list prompts and datasets, score traces, add dataset items. Trigger phrases: langfuse, llm observability.

Overview

Publisher	Anil-matcha
Repository	`awesome-muse-connectors`
Skill name	`langfuse`
Stars	1.4K
Forks	309
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

Install the Langfuse 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.
https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/langfuse
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/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/langfuse .claude/skills/langfuse

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

Use it in TypingMind

Enable Langfuse 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 Langfuse 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 Langfuse 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

Purpose

Read and write the user's Langfuse LLM observability data: browse traces and observations, list prompts and datasets, score traces, and add dataset items. Use when the user mentions Langfuse or LLM tracing and evaluation.

Tooling

All commands go through bin/langfuse.py. Every command takes an optional --host (default https://cloud.langfuse.com; use https://us.cloud.langfuse.com for US-hosted projects or your self-hosted URL):

bash
bin/langfuse.py auth                                            # verify the credential
bin/langfuse.py traces                                          # list traces
bin/langfuse.py traces --session-id abc123                      # traces for one session
bin/langfuse.py observations                                    # list observations
bin/langfuse.py prompts                                         # list prompts
bin/langfuse.py prompts --name my-prompt                        # one prompt's details
bin/langfuse.py score --trace-id tr_abc --name quality --value 0.9  # score a trace (confirm first)
bin/langfuse.py datasets                                        # list datasets
bin/langfuse.py dataset-item --dataset-name evals --input-json '{"q":"..."}'  # add a dataset item (confirm first)

Auth

Provider id: langfuse (credential is collected as custom.langfuse)
Collection: via the secure credential flow (credentials.request_api_access). The credential stores ONE combined value in the format public_key:secret_key (e.g. pk-lf-...:sk-lf-...), as issued in Langfuse under Settings > API keys. The CLI splits on the first colon into username (public key) and password (secret key) and sends them as HTTP Basic auth (Authorization: Basic base64(pk:sk)). Store the combined value exactly once, with exactly one colon separator.
Allowed hosts: cloud.langfuse.com, us.cloud.langfuse.com, or your self-hosted Langfuse host (declared at connect time via --host)
Status check: bin/langfuse.py auth (must return "ok": true)

Operating Rules

score and dataset-item are writes: confirm the trace or dataset and the values with the user before running, unless standing permission exists.
Reading (traces, observations, prompts, datasets) needs no confirmation.
Ingested data can lag ~15-30 seconds behind a run; a missing trace may just need a moment.
Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the key value.

Files

SKILL.md
bin/langfuse.py

Maturity

🧪 Draft: written from Langfuse's public API docs; not yet live-tested end-to-end.

Bundled files

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

bin/langfuse.py8 KB

Frequently asked questions

What does the Langfuse AI skill do?

Read and write Langfuse: browse traces and observations, list prompts and datasets, score traces, add dataset items. Trigger phrases: langfuse, llm observability.

Why use Langfuse on TypingMind?

Because you install it once and use it with any model. Langfuse 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 Langfuse in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/langfuse. 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 Langfuse?

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 Langfuse?

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

Is the Langfuse AI skill free?

Yes. It is published on GitHub by Anil-matcha 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

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Bundled files

Frequently asked questions

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