π‘ Langfuse Observability
Complete Langfuse v3 observability toolkit for OpenClaw agents β 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.
Best use case
π‘ Langfuse Observability is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Complete Langfuse v3 observability toolkit for OpenClaw agents β 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.
Teams using π‘ Langfuse Observability should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/langfuse-observability/SKILL.mdinside your project - Restart your AI agent β it will auto-discover the skill
How π‘ Langfuse Observability Compares
| Feature / Agent | π‘ Langfuse Observability | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Complete Langfuse v3 observability toolkit for OpenClaw agents β 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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# π‘ Langfuse Observability
Complete Langfuse v3 observability toolkit for OpenClaw agents β 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
```python
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 β 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](https://www.linkedin.com/in/mohammad-ali-abidi) | [agxntsix.ai](https://www.agxntsix.ai)
[YouTube](https://youtube.com/@aiwithabidi) | [GitHub](https://github.com/aiwithabidi)
Part of the **AgxntSix Skill Suite** for OpenClaw agents.
π
**Need observability for your AI agents?** [Book a free consultation](https://cal.com/agxntsix/abidi-openclaw)Related Skills
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