Borrowing it
Nothing to install: this file belongs to atopos31/llmio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/atopos31/llmio/master/CLAUDE.mdgit clone --depth 1 https://github.com/atopos31/llmioWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/atopos31/llmio/claude-md)<a href="https://agentmods.dev/instructions/atopos31/llmio/claude-md"><img src="https://agentmods.dev/badge/instructions/atopos31/llmio/claude-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01682 | $0.01682 |
| Opus 5 | $0.00841 | $0.00841 |
| Sonnet 5 | $0.00336 | $0.00336 |
| Haiku 4.5 | $0.00168 | $0.00168 |
Grade A, and why
llmio CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
LLMIO is a Go-based LLM proxy service that provides unified API access to multiple language model providers (OpenAI, Anthropic, Gemini) with intelligent load balancing and a React-based management interface.
Key Commands
Backend Development
# Run the application (formats, tidies, creates db dir, then starts)
TOKEN=<YOUR_TOKEN> make run
# Build the binary
go build -o llmio .
# Run all tests
go test ./...
# Run a single package's tests
go test ./balancers/...
# Run a single test
go test -run TestWeightedList ./balancers/
# Format code
go fmt ./...
# Tidy dependencies
go mod tidy
Frontend Development
cd webui
# Install dependencies
pnpm install
# Run development server (proxies /api to localhost:7070)
pnpm run dev
# Build for production
pnpm run build
# Build frontend and embed into Go binary
make webui
# Run linting
pnpm run lint
Docker Development
docker build -t llmio .
docker run -p 7070:7070 -e TOKEN=your_token llmio
docker-compose up -d
Architecture Overview
Backend Structure
The application follows a layered architecture:
-
Handlers (
/handler) — HTTP request processing and routing. Each API area gets its own file:chat.go(LLM completion endpoints),api.go(management APIs),models.go(model CRUD),auth_keys.go(API key management),event_logging.go(Claude Code event ingestion),home.go(static file serving),count_tokens.go(Anthropic token counting),test.go(provider connectivity tests),version.go. -
Services (
/service) — Business logic layer.chat.go— Core chat processing: balancing, request dispatch, retry orchestrationbefore.go— Pre-processing pipeline that parses incoming requests to detect capabilities (tool calling, structured output, image input) for routing decisions. Has per-provider-style parsers (OpenAI, OpenAIRes, Anthropic, Gemini)models.go— Provider/model association managementauth.go— AuthKey managementprocess.go— Request processing utilitiesprovider_error_matcher.go— Error classification for rate limits and failureslog_cleanup.go— Scheduled log retention cleanup
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 145 lines · 1,682 tokens per session scan A 42dde7825c84
llmio CLAUDE.md is an instructions file published in the GitHub repository atopos31/llmio (312 stars, last pushed 21d ago), licensed MIT. It adds 1,682 tokens to every session, about $0.0084 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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