llmops-manager

What problem does it solve?

This Skill streamlines the management, monitoring, and optimization of Large Language Model (LLM) operations, addressing challenges in version control, performance tracking, cost efficiency, and security.

Core Features & Use Cases

• Model & Prompt Management: Version control for models and prompts, supporting multiple providers and capabilities.
• Performance Monitoring: Real-time tracking of latency, throughput, and accuracy with anomaly detection and alerts.
• Cost Optimization: Budget management, cost tracking, and automated recommendations for reducing expenses.
• Security Hardening: Input validation, output filtering, rate limiting, and audit logging to ensure safe LLM usage.
• Use Case: A team can use this skill to register a new version of a fine-tuned model, monitor its performance against a baseline, and ensure its operational costs remain within budget, all while enforcing security protocols.

Quick Start

Register a new model version named gpt-4-turbo with version 1.0.0 using the python script.