Skills langfuse-observability

📡 Langfuse Observability

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/aiwithabidi/langfuse-observability" ~/.claude/skills/clawdbot-skills-langfuse-observability && rm -rf "$T"

manifest: skills/aiwithabidi/langfuse-observability/SKILL.md

source content

📡 Langfuse Observability

Complete Langfuse v3 observability toolkit for OpenClaw agents — automatic tracing for LLM calls, API calls, tool executions, and custom events. Cost tracking per model, session grouping, evaluation scoring, dashboard queries, and health monitoring. The central nervous system for agent observability.

Use for: logging, tracing, debugging, cost analysis, and audit trails.

Quick Start

import sys, os
sys.path.insert(0, os.path.expanduser("~/.openclaw/workspace/skills/langfuse-observability/scripts"))
from langfuse_hub import traced, trace_llm, trace_api, trace_tool, trace_event, flush

Scripts

Script	Purpose
`langfuse_hub.py`	Universal import — tracing functions, decorators, context managers
`langfuse_admin.py`	CLI for dashboard queries (traces, costs, sessions, health)
`langfuse_cron.py`	Daily observability report for Telegram

Instance

Host: http://langfuse-web:3000
Dashboard: http://langfuse-web:3000 (internal)
SDK: Langfuse Python v3.14.1

Credits

Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

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