AgentIndex icon
AgentIndex
codex-usage-tracker logo
codex-usage-tracker
★ 196
vs
llmkit logo
llmkit
★ 15

codex-usage-tracker vs llmkit

codex-usage-tracker: Codex Usage Tracker is a local-first tool that provides a dashboard, CLI, and companion plugin for analyzing OpenAI Codex token usage and costs. It reads local log files, indexes usage data into SQLite, and helps developers understand where their credits are being spent.; llmkit: LLMKit is an open-source AI gateway and SDK suite designed to measure the costs of your AI agents and prevent requests from exceeding predefined budgets. It provides cost attribution, budget admission, and request evidence, ensuring efficient and controlled AI expenditure.

01

TL;DR

codex-usage-tracker logo
codex-usage-trackerObservability · ★ 196

Track and analyze OpenAI Codex token usage and estimated costs locally without uploading logs.

Read codex-usage-tracker full review →
llmkit logo
llmkitObservability · ★ 15

Local cost monitoring for existing Python/TypeScript AI SDK calls

Read llmkit full review →
02

Side-by-Side Comparison

Field
codex-usage-tracker logocodex-usage-tracker
llmkit logollmkit
Category
Observability
Observability
Stars
★ 196
★ 15
License
MIT
MIT
Install Command
python -m pip install --user pipx && python -m pipx ensurepath && pipx install codex-usage-tracking && codex-usage-tracker setup
pip install llmkit-sdk
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Codex Usage Tracking, Token Management, Analytics Dashboard
AI Gateway, Cost Management, Budget Control
03

Features

codex-usage-tracker logocodex-usage-tracker
01Local-first dashboard with live refresh and various views (Overview, Calls, Threads, Diagnostics).
02Indexes aggregate usage counters and local content evidence into an SQLite database.
03Provides CLI for summaries, queries, CSV export, and support bundles.
04Companion Codex plugin and skills for conversational usage analysis and waste discovery.
05Supports localized UI text for the dashboard, including Simplified Chinese.
llmkit logollmkit
01Cost Attribution and Estimation
02Budget Admission and Enforcement
03Request Evidence and Analytics
04Multi-Language SDK and CLI Support
04

Use Cases

codex-usage-tracker logocodex-usage-tracker
↳Track and analyze OpenAI Codex token usage and estimated costs locally without uploading logs.
↳Identify threads, models, or subagents that consume the most tokens and contribute to unexpected costs.
↳Optimize usage by identifying high-context, low-cache calls and understanding context bloat in long chats.
↳Use the companion Codex skill to converse with usage data, ask questions, and get recommendations for reducing token waste.
llmkit logollmkit
↳Local cost monitoring for existing Python/TypeScript AI SDK calls
↳Zero-code CLI tracking for quick cost summaries
↳Managing shared budgets and provider routing for multiple AI applications
↳Inspecting session data within MCP clients for cost and budget insights
05

Best For

codex-usage-tracker logocodex-usage-tracker
Hidden Gem
llmkit logollmkit
—
FAQ

FAQ

What is the difference between codex-usage-tracker and llmkit?
Both codex-usage-tracker and llmkit are in the Observability category. codex-usage-tracker has 196 stars, while llmkit has 15 stars.
Which is better, codex-usage-tracker or llmkit?
The best choice depends on your use case. Choose codex-usage-tracker if Track and analyze OpenAI Codex token usage and estimated costs locally without uploading logs., and llmkit if Local cost monitoring for existing Python/TypeScript AI SDK calls.
Is codex-usage-tracker free or open source?
Yes, codex-usage-tracker is open source on GitHub (MIT).
Is llmkit free or open source?
Yes, llmkit is open source on GitHub (MIT).
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