Borrowing it
Nothing to install: this file belongs to neul-labs/fast-litellm. 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/neul-labs/fast-litellm/main/CLAUDE.mdgit clone --depth 1 https://github.com/neul-labs/fast-litellmWrote 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/neul-labs/fast-litellm/claude-md)<a href="https://agentmods.dev/instructions/neul-labs/fast-litellm/claude-md"><img src="https://agentmods.dev/badge/instructions/neul-labs/fast-litellm/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/neul-labs/fast-litellm/claude-md"><img src="https://agentmods.dev/badge/instructions/neul-labs/fast-litellm/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01987 | $0.01987 |
| Opus 5 | $0.00993 | $0.00993 |
| Sonnet 5 | $0.00397 | $0.00397 |
| Haiku 4.5 | $0.00199 | $0.00199 |
Grade C, and why
fast-litellm CLAUDE.md scanned grade C with 2 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 9d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -LsSf https://astral.sh/uv/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -LsSf https://astral.sh/uv/install.sh | sh How it starts
The opening of the file, as written. The whole thing — 250 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
Fast LiteLLM is a high-performance Rust acceleration layer for LiteLLM that provides drop-in replacements for performance-critical components. It uses PyO3 to create Python extensions from Rust code, achieving 2-20x performance improvements while maintaining full compatibility with the existing Python API.
Build Commands
Initial Setup
# Install uv (fast Python package manager)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Create virtual environment and install dependencies
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install maturin and development dependencies
uv add --dev maturin
# Development build (creates editable install)
uv run maturin develop
# Or use the automated setup script
./scripts/setup_dev.sh
Building
# Development build (fast, with debug symbols)
uv run maturin develop
# Release build (optimized)
uv run maturin build --release
# Build wheel for distribution
uv run maturin build --release --out dist
# Build for specific Python version
uv run maturin build --interpreter python3.11
Testing
# Run all tests
uv run pytest tests/
# Run specific test file
uv run pytest tests/test_accelerator.py
# Run single test
uv run pytest tests/test_basic.py::test_import_package
# Run tests with coverage
uv run pytest tests/ --cov=fast_litellm --cov-report=html
# Run tests excluding slow benchmarks
uv run pytest tests/ -m "not slow"
# Run only integration tests
uv run pytest tests/ -m integration
# Run Rust tests
cargo test
# Run Rust tests with specific module
cargo test --lib core
Code Quality
# Python formatting
uv run black fast_litellm/ tests/
# Python import sorting
uv run isort fast_litellm/ tests/
# Python linting
uv run flake8 fast_litellm/
uv run mypy fast_litellm/
uv run ruff check fast_litellm/
# Rust formatting
cargo fmt
# Rust linting
cargo clippy -- -D warnings
# Run all quality checks
uv run black --check . && uv run isort --check-only . && uv run flake8 . && uv run mypy fast_litellm/ && cargo fmt -- --check && cargo clippy
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.
- 9d ago First seen · 250 lines · 1,987 tokens per session scan C cedf0cd27da3
fast-litellm CLAUDE.md is an instructions file published in the GitHub repository neul-labs/fast-litellm (47 stars, last pushed 2d ago), licensed MIT. It adds 1,987 tokens to every session, about $0.0099 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.