add-model-price

Add and configure LLM model pricing entries in Langfuse with regex matching.

175|7|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/cure-lab/ArbiterOS --skill add-model-price
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add-model-price
Source: https://github.com/cure-lab/ArbiterOS/tree/main/langfuse/.claude/skills/add-model-price
Command: npx skills add https://github.com/cure-lab/ArbiterOS --skill add-model-price

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of adding and updating LLM model pricing entries, ensuring accurate cost tracking across different providers and platforms.

Core Features & Use Cases

  • Model Pricing Configuration: Simplify the addition of new LLM models to Langfuse's pricing database.
  • Automatic Updates: Keep pricing information up-to-date with model updates.
  • Use Case: For instance, adding Claude, OpenAI, or Anthropic model pricing with support for regex pattern matching and tiered pricing.

Quick Start

Use the add-model-price skill to add a new model pricing entry for the 'Claude-Opus-4-6' model.

Frequently Asked Questions about add-model-price

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

FAQPage Schema
How do I add LLM model pricing to Langfuse?

Langfuse model pricing configuration supports regex-based model matching, tiered pricing structures, and JSON schema validation to accurately track costs for different LLM providers like Claude and OpenAI.

Can I configure tiered pricing for LLM models in Langfuse?

Yes, you can configure tiered pricing for LLM models in Langfuse. This feature enables accurate cost tracking across various platforms by defining multiple pricing tiers within the JSON schema validation.

Does Langfuse pricing configuration support regex pattern matching for model names?

Yes, Langfuse pricing configuration supports regex-based model matching to dynamically map LLM model variants to specific pricing tiers, ensuring accurate cost tracking across different providers.

What is the best way to update LLM pricing entries for multiple providers?

The best way to update LLM pricing entries for multiple providers is through automated data entry configuration, which streamlines adding and updating costs while ensuring accurate cost tracking via JSON schema validation.

Do I need JSON schema validation for Langfuse model pricing management?

Yes, JSON schema validation is required for Langfuse model pricing management to ensure that automated data entry for LLM pricing configurations is accurately structured and validated.

What are the limitations of automated model pricing configuration in Langfuse?

Automated model pricing configuration in Langfuse is primarily limited to LLM management scenarios, requiring JSON schema validation and relying on regex matching, which may need manual updates for non-standard provider pricing structures.