Langfuse Observability

🏢Official
by langfuse · vlatest · Repository

Langfuse Observability monitors your code in real-time, surfacing errors and performance issues instantly to accelerate debugging & improve application health.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add langfuse-observability npx -- -y @trustedskills/langfuse-observability
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "langfuse-observability": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/langfuse-observability"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill integrates observability into AI agent workflows using Langfuse. It allows you to track and analyze agent performance, including tracing function calls, measuring execution times, and identifying bottlenecks. This provides valuable insights for debugging, optimization, and improving overall agent efficiency.

When to use it

  • Debugging slow agents: Identify which functions or steps are contributing most to long execution times.
  • Monitoring production agents: Track key performance indicators (KPIs) like average response time and error rates over time.
  • Analyzing complex workflows: Understand the flow of data and control within an agent's actions.
  • Optimizing resource usage: Pinpoint areas where resources are being wasted or inefficiently utilized.

Key capabilities

  • Integration with Langfuse observability platform
  • Function call tracing
  • Execution time measurement
  • Performance bottleneck identification

Example prompts

  • "Enable Langfuse observability for this agent."
  • "Show me the average execution time of the 'send_email' function."
  • "What are the top 5 slowest functions called by this agent?"

Tips & gotchas

Requires a Langfuse account and API key to function correctly. Ensure proper configuration with your agent’s environment for accurate data collection.

Tags

🛡️

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Details

Version
vlatest
License
Author
langfuse
Installs
0

🏢 Official

Published by the company or team that built the technology.