cost-tracking

Free, local tool to track AI coding token usage and cost across 37 tools and agents (Claude Code, Cursor, Codex, Gemini and more), by model, project, and task. npx codeburn

See what your coding agents did and what it cost. Breaks each task down into work steps — tools used, files changed, tests run, time and tokens spent. Local-first dashboard for Claude Code, Codex, OpenCode, and more. No login, no telemetry.

The spend meter and budget gate for AI voice agents. Meters STT + TTS + LLM + telephony per call, out of the box (Pipecat, LiveKit — Python & TypeScript). Hard-stops the next turn before it crosses your ceiling. Local, no account, no telemetry. Built by Floe — cost controls for Voice AI.

A beautiful, zero-dependency command center for OpenClaw AI agents

Open-source observability dashboard for OpenClaw daemons — cost analyti cs, live monitor ing, and de bugging tools, all running on your own machine.

Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking.

See your agent think. Zero-config observability & governance for 20+ AI agent runtimes: OpenClaw, Claude Code, OpenAI Codex, Cursor, Aider, Goose, NVIDIA NemoClaw, NanoClaw & more. Live token costs, sessions, tool calls, crons.

Self-contained DeepSeek Harness (DSH) plugin for Provider/Auth login, model switching, image fallback, token/cost analytics, and same-port Web restart. Useful? A star helps.

Validate and retry LLM outputs for ruby_llm. Describe the JSON response you expect, fall back to a stronger model when the cheaper one fails the rules, and gate CI on regressions — all as one contract object per step.