Evaluation

promptfoo for tokenmaxxing

A bad prompt can spend tokens forever and still be wrong. Evals let you find the cheap-enough prompt before production does.

24.3K starspromptfoo/promptfoo
2.2K forksGitHub metadata checked 2026-08-17
MITDirect tokenmaxxing fit

What it does

A CLI and CI workflow for testing prompts, agents, and RAG systems across models, with evals and red-team style checks.

Why it belongs here

A bad prompt can spend tokens forever and still be wrong. Evals let you find the cheap-enough prompt before production does.

Best use case

Teams that want CI-style prompt, model, RAG, and agent checks before routing changes or prompt edits reach users.

How to use it

Create test cases for high-value workflows, compare models and prompts, and block changes that raise cost without preserving quality.

Limits

Evals are only as useful as the examples and grading criteria. They need maintenance as product behavior changes.

Tags

prompt-evalscirag
Related feed

Source notes connected to this use case

DevOps.com source artwork
long-formD
long-form

What You Cannot See Will Break Your LLM App: A Practitioner Guide to Production Observability

Gourav Singla details what an LLM app needs instrumented when it returns HTTP 200 and still fails: per-workflow token logging, finish-reason tracking, and tiered alerts that catch cost anomalies before the invoice explains them.

tokenmaxxingllm-observabilitycost-governance
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InfoWorld source artwork
long-formI
long-form

The strangest developer productivity metric of all time

Matthew Tyson argues token burn is a worse productivity measure than lines of code, pointing at Meta's Claudeonomics leaderboard, which ranked the top 250 of over 85,000 employees and drove 60.2 trillion tokens in 30 days.

tokenmaxxingmetricsscoreboards
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XDA source artwork
long-formX
long-form

Dropping Claude Code from High to Medium effort cut output tokens 45%

XDA's Mahnoor Faisal ran five coding jobs on Sonnet 5 twice from an identical starting codebase, changing only the effort level. High spent about 26,000 output tokens; Medium finished the same work on roughly 14,300.

coding-agentstoken-consumptionai-spend
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CNX Software - Embedded Systems News source artwork
newsCS
news

Token Monitor - An ESP32-S3 desktop display that tracks AI coding assistant usage (Crowdfunding) - CNX Software

Fractal Manifold is crowdfunding Token Monitor, a EUR 99 ESP32-S3 desk display with a 4-inch touchscreen that shows quota use, session limits, reset timers and estimated token costs for Claude Code, Codex CLI and Antigravity CLI.

tokenmaxxingcoding-agentsagents
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