sequilade/tokentab — A CLI that reads Claude Code, Codex, and Gemini CLI session logs and works out how much they cost, b…

Description and use

**Project Summary:**
Tokentab is an open-source CLI tool that analyzes session logs from Claude Code, Codex, and Gemini CLI, providing cost breakdowns by model, project, and day. This tool helps developers add AI capabilities without starting from scratch, making it an attractive option for prototyping AI features and evaluating model tooling. With its strong adoption and ecosystem signals, Tokentab is production-ready for serious pilot projects.

**Value Proposition:**
The value of Tokentab lies in its ability to simplify the integration of AI capabilities without requiring a new model stack from scratch. This makes it an ideal tool for developers who want to quickly prototype AI features, build RAG (Read, Act, Gather) or agent workflows, and evaluate different model tooling options.

**Practical Adoption Path:**
To adopt Tokentab, developers can start by evaluating its implementation signals, such as API/SDK/CLI, language metadata, and focused topics. With its recent activity, adoption, and strong ecosystem signals, Tokentab is a low-risk choice for serious pilot projects. Developers can integrate Tokentab into their existing workflows and use its cost breakdown analysis to optimize their AI usage and costs.

**Production Readiness:**
Tokentab has a high production readiness score due to

Problem

sequilade/tokentab helps add AI capability without starting from a blank model stack.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

A CLI that reads Claude Code, Codex, and Gemini CLI session logs and works out how much they cost, by model, project, and day.

Source