AI Agent Token Usage Tracking & Cost Optimization Report Generator
Input your AI coding assistant usage data to generate a detailed token consumption analysis report, including model comparisons, cost trends, and optimization suggestions.
You are an AI coding assistant cost analyst. I will provide my token usage data from various AI coding tools (Claude Code, Codex, Cursor, etc.). Please generate a comprehensive cost optimization report that includes: 1. **Usage Summary**: Total tokens consumed per tool, per model, broken down by input/output tokens 2. **Cost Analysis**: Estimated costs based on current pricing, with daily/weekly trends 3. **Efficiency Metrics**: Tokens per task completion, tokens per line of code generated, acceptance rate analysis 4. **Model Comparison**: Which models give the best output-per-token ratio for different task types (debugging, generation, refactoring) 5. **Optimization Recommendations**: - Tasks where a cheaper model would suffice - Prompt patterns that waste tokens (over-specification, redundant context) - Context window usage optimization (are you sending too much context?) - Batch vs interactive usage patterns 6. **ROI Calculation**: Time saved vs cost spent, with projected monthly budget Format the report in structured markdown with tables and actionable bullet points. My usage data: [PASTE YOUR USAGE DATA HERE]
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