observability-llm-call-tracing
CommunityTrace LLM API calls for latency, tokens, costs, and errors with precision.
Software Engineering#machine learning#error logging#cost analysis#performance monitoring#LLM tracing
Authorinfantesromeroadrian
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of monitoring and analyzing calls to Language Learning Models (LLMs) by providing detailed metrics and logging, enabling users to understand and optimize their LLM interactions.
Core Features & Use Cases
- LLM API Call Tracing: Track the latency, tokens, and costs associated with each LLM call.
- Error and Cost Analysis: Identify issues and optimize costs associated with LLM calls.
- Use Case: For a machine learning engineer who needs to ensure their LLM calls are efficient and within budget, this Skill will provide a comprehensive view of each call's performance.
Quick Start
Instrument your LLM calls using the observability-llm-call-tracing skill.
Dependency Matrix
Required Modules
langfuse
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: observability-llm-call-tracing Download link: https://github.com/infantesromeroadrian/arca-agent/archive/main.zip#observability-llm-call-tracing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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