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langfuse-prompt-and-trace-debugger

Fetch Langfuse prompts and traces to diagnose KeyError and schema validation failures.

6|1|Updated Mar 5, 2026
Search Tags:#debugging#schema#prompts#traces#langfuse#keyerror#environment-loading
One-click install
npx skills add https://github.com/pwv-vc/agentcribs-community --skill langfuse-prompt-and-trace-debugger-pwv-vc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langfuse-prompt-and-trace-debugger
Source: https://github.com/pwv-vc/agentcribs-community/tree/main/resources/tearsheets/arsenal/dot-claude/skills/langfuse-prompt-and-trace-debugger
Command: npx skills add https://github.com/pwv-vc/agentcribs-community --skill langfuse-prompt-and-trace-debugger-pwv-vc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires langfuse, httpx.

What problem does it solve?

This skill helps developers diagnose Langfuse issues by fetching actual prompts and traces instead of guessing their schemas, enabling precise debugging of KeyError and schema validation failures.

Core Features & Use Cases

  • Fetch and cache production prompts for offline review
  • View and analyze traces and errors to understand model behavior
  • Identify schema mismatches and prompt fields with real data from Langfuse
  • Supports staging and production environments with automatic env loading

Quick Start

Navigate to the skill directory and run the provided scripts to list prompts, refresh the prompt cache, and view traces.

Frequently Asked Questions about langfuse-prompt-and-trace-debugger

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I debug a KeyError when fetching Langfuse prompts?▼

To debug a Langfuse prompt KeyError, fetch the actual prompt schema from your staging or production environment to identify exact field mismatches causing the validation failure.

What's the best way to view Langfuse traces for production errors?▼

View Langfuse production traces by fetching them directly through the Python SDK with automatic environment loading, allowing you to analyze model behavior and diagnose runtime errors.

Does this Langfuse debugger support staging and production environments?▼

Yes, the Langfuse debugger supports staging and production environments using automatic arsenal/.env loading and environment selection to retrieve real prompt data and traces accurately.

How do I cache Langfuse prompts for offline schema review?▼

Cache Langfuse prompts for offline schema review by running the provided scripts in the skill directory to fetch and store production prompts locally on your machine.

Why is my Langfuse schema validation failing with real prompt data?▼

Langfuse schema validation fails when expected prompt fields do not match the actual data structure, which you can identify by fetching and comparing real prompts from Langfuse.

Do I need the Langfuse Python SDK to analyze traces and prompt schemas?▼

Yes, you need the Langfuse Python SDK and httpx dependency to fetch actual prompts and traces, enabling precise debugging of KeyError and schema validation failures.

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