cost tracking

Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.

Open-source LLM gateway that adds cost visibility, request tracing, repeated-call detection, and basic prompt-injection heuristics for OpenAI and Anthropic traffic.

An open-source CLI for testing LLM prompts across consistency, latency, cost, and behavior, with HTML reports and support for OpenAI and Anthropic.

Local-first Node tool that reads Claude Code and Codex logs to price AI coding-agent usage by repo, model, or client. It also supports billing markups, JSON output, and an MCP server for asking agents what their work cost.

A local terminal UI for exploring AI coding spend across tools like OpenCode, Claude Code, Codex, GitHub Copilot, and more. It shows costs by month, day, project, session, and model, with drill-down views, heatmaps, exports, and a web browser mode.

A Claude Code status-line tool that estimates per-turn costs, subagent spend, cache rebuilds, and usage limits from local session data.

Production LLM infrastructure for building and monitoring AI agents, with model routing across 200+ models, output validation, observability, evals, governance, RAG, memory, and cost controls.

Rust TUI for browsing local Codex and Claude Code session logs, searching past chats, and estimating API-equivalent cost.

A curated GitHub resource mapping AI token costs, waste, and efficiency practices for agentic coding. It combines an awesome list with editorial notes, practices, concepts, claims, and copy-paste setups.