Cost Tracking
Showing 14 of 14 projects
A CLI tool for analyzing Claude Code/Codex CLI usage from local JSONL files.
A real-time terminal monitoring tool for Claude AI token usage with ML-based predictions, cost analysis, and a Rich UI.
A smart model router for OpenClaw that cuts LLM costs up to 70% by routing requests to the cheapest capable model.
An open-source platform for AI engineering with OpenTelemetry-native LLM observability, GPU monitoring, guardrails, evaluations, and prompt management.
A terminal session manager that provides a unified TUI for managing multiple AI coding agents like Claude, Gemini, OpenCode, and Codex.
An Elixir package providing a unified Req-based interface to query 18+ LLM APIs with standardized requests and responses.
A customizable statusline for Claude Code terminal with real-time cost tracking, MCP monitoring, prayer times, and modular layouts.
A native macOS menu bar app that provides a real-time dashboard and analytics for your local Claude Code sessions.
A Telegram bridge that lets you control AI coding agents from your phone via voice or text, with live progress streaming and remote approval.
OpenTelemetry-native LLM observability SDK for Go backends, providing tracing, token tracking, cost attribution, and budget guardrails.
A high-performance statusline for Claude Code that displays workspace info, git status, model usage, session costs, and context usage in real-time.
A comprehensive Go library for building AI agents and applications with unified multi-provider LLM support, tool calling, streaming, and cost tracking.
A production-ready Go framework for building type-safe AI agents with structured output, multi-provider streaming, guardrails, and multi-agent orchestration.
A Genkit plugin that automatically exports traces to Langfuse for observability and cost tracking in AI applications.
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