Track AI token usage and costs across sessions with budget alerts.
npx skills add https://github.com/JNZader/javi-ai --skill cost-tracking-jnzader
Please help me install this Agent Skill. Skill: cost-tracking Source: https://github.com/JNZader/javi-ai/tree/main/own/skills/cost-tracking Command: npx skills add https://github.com/JNZader/javi-ai --skill cost-tracking-jnzader
AI costs are often invisible, leading to runaway expenses. This skill helps you monitor token usage and optimize overall spend.
Configure and begin tracking costs by logging your first session and setting your budget limits.
High-intent search queries and answers about installing and using this skill.
AI token usage and related costs are tracked across sessions by logging per-session spend in a simple cost-logging repository. This monitors token efficiency and sets budget alerts to prevent overspend before expenses escalate.
Comparing model costs across multiple AI providers and tooling is achieved by logging token usage and applying model pricing data. This generates cross-tool reports and dashboards to visualize spend by project and model.
Budget alerts for AI token spend are configured using a budget config file alongside a cost-logging repository. Setting budget limits allows the system to trigger automated decisions and prevent overspend.
No external dependencies are required to start logging per-session AI costs. You only need to configure a simple cost-logging repository and budget config to drive automated decisions and track spend.
Cross-tool reports and dashboards visualize AI spend by project and model. They are generated by aggregating logged per-session token usage and comparing costs across multiple AI providers and tooling.
Token efficiency optimization should be used when AI costs become invisible and lead to runaway expenses. Monitoring per-session spend and comparing model costs helps optimize overall spend across multiple tools and providers.
jordanhubbardMonitor provider spend and token costs to prevent budget overruns.
faccomicheleTrack infrastructure, CI/CD, and AI token spend against project budgets.
winsorllcTrack LLM API costs across Anthropic, OpenAI, and Google providers.
SstoboLog LLM token usage and billing data for Convex Agents.
