Retrieve daily, weekly, and monthly spending summaries from the OpenRouter API.
npx skills add https://github.com/russellkt/inframon --skill openrouter-costs
Please help me install this Agent Skill. Skill: openrouter-costs Source: https://github.com/russellkt/inframon/tree/main/skills/openrouter-costs Command: npx skills add https://github.com/russellkt/inframon --skill openrouter-costs
This Skill helps users track their spending on Large Language Model (LLM) APIs through the OpenRouter platform, providing visibility into daily, weekly, and monthly costs.
Query your current OpenRouter API spending summary.
High-intent search queries and answers about installing and using this skill.
To track OpenRouter API costs, you can retrieve current spending data that provides daily, weekly, and monthly cost summaries. This financial oversight helps you monitor LLM API consumption and understand exactly how much you are spending.
Yes, you can view your total historical spend on OpenRouter LLM APIs. The usage monitoring retrieves your overall expenditure data, giving you a complete financial overview alongside your daily, weekly, and monthly spending summaries.
You can check your OpenRouter spending limit by retrieving your current usage data. It displays whether a spending limit is configured and calculates exactly how much budget remains, ensuring you stay within your allocated LLM API funds.
The best way to get a daily summary of LLM API spending is to retrieve your current usage data from the OpenRouter platform. This provides immediate daily, weekly, and monthly cost breakdowns for effective budget management.
Yes, OpenRouter budget monitoring shows weekly and monthly cost breakdowns. It retrieves current usage data to provide these specific spending summaries, allowing you to analyze your LLM API consumption patterns over different time periods.
Monitoring LLM API consumption on OpenRouter is essential for financial oversight. It provides visibility into daily, weekly, and monthly costs, helping AI developers manage their budgets effectively and avoid unexpected expenditure on API calls.
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