sqz - context compressor for LLM CLIs
Rust CLI that compresses prompt and context payloads before they hit the model, trading a small accuracy delta for measurable token-cost savings.
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#cost-tracking
8 entries tagged with #cost-tracking.
claude-code-statusline - configurable Claude Code statusline
Statusline replacement for Claude Code with real-time cost tracking, MCP server status, and themeable layouts. Bash-based and cross-platform.
snip - LLM token-saving proxy in Go
CLI proxy for Claude Code, Cursor, Copilot, and Gemini that strips noise from LLM context with declarative YAML filters. Reports 60-90% token savings on typical agent traffic.
claudetop - htop for Claude Code sessions
Real-time terminal monitor for Claude Code: cost, cache efficiency, model comparison, and alert thresholds. Targeted at users running long agent sessions who need spend visibility.
opencode-tokenscope - cost tracking for opencode
Token usage analyzer and cost tracker for opencode sessions. Breaks down spend across models, tools, and conversations.
tokentap - intercept and visualize LLM token traffic
Python proxy that intercepts LLM API traffic and shows real-time token usage, costs, and context window in a terminal dashboard. Useful for debugging prompts and tracking spend.
prism - session intelligence for Claude Code
Python TUI that finds where extra tokens are burned in Claude Code sessions, why sessions fail, and what to fix. Built on Textual, focused on debugging your own usage.
Codeburn - token cost TUI for Claude Code & Codex
Interactive terminal dashboard that breaks down where your AI coding tokens actually go. Surfaces the chat-vs-tool-use split most users get wrong.
Why I saved this - One user's spend breakdown: 56% conversation, only 20% actual coding. You can't optimize what you can't see.