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Langfuse Observability

Provides automatic tracing, logging, cost tracking, and health monitoring for OpenClaw LLM calls, APIs, tool executions, and custom events.

98 downloads
Free
Reviewed

šŸ“” 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

ScriptPurpose
langfuse_hub.pyUniversal import — tracing functions, decorators, context managers
langfuse_admin.pyCLI for dashboard queries (traces, costs, sessions, health)
langfuse_cron.pyDaily 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.

šŸ“… Need observability for your AI agents? Book a free consultation

Download

ZIP package — ready to use

Skill Info

Creator
aiwithabidi
Downloads
98
Published
Mar 15, 2026
Updated
Mar 16, 2026