Track LLM API costs across Anthropic, OpenAI, and Google providers.
npx skills add https://github.com/winsorllc/upgraded-carnival --skill cost-tracker
Please help me install this Agent Skill. Skill: cost-tracker Source: https://github.com/winsorllc/upgraded-carnival/tree/main/.pi/skills/cost-tracker Command: npx skills add https://github.com/winsorllc/upgraded-carnival --skill cost-tracker
This Skill helps users track and manage their spending on Large Language Model (LLM) API calls across various providers, preventing budget overruns and providing cost transparency.
Use the cost-tracker skill to track an API usage event with provider 'openai', model 'gpt-4o', 1000 input tokens, and 500 output tokens.
High-intent search queries and answers about installing and using this skill.
To track LLM API costs across multiple providers, you can monitor API expenses in real-time, capturing token usage and setting configurable pricing for OpenAI, Anthropic, and Google to maintain cost transparency across your projects.
Yes, you can set budget alerts to prevent LLM API spending overruns. The system notifies you when spending approaches predefined limits, ensuring your development team stays within your allocated financial budget.
You can assign API costs to specific jobs or tasks for better cost attribution by logging usage events with their corresponding job identifiers. This allows you to identify which application features are the most expensive.
The best way to monitor real-time token usage for Google AI models is to use a tracking system that logs input and output tokens per API call. This provides immediate visibility into your current Google AI spending.
Yes, this cost tracking approach works without external dependencies. It operates as a standalone script component, allowing you to integrate token usage monitoring directly into your existing software engineering workflows.
To log an OpenAI API usage event, you track the usage by specifying the provider as OpenAI, the model as gpt-4o, and entering the exact input and output token counts for that specific API call.
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