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 5.5 | $0.00795 | $0.00795 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (48 stars, last pushed 5d ago), licensed MIT. It adds 1,987 tokens to every session, about $0.0079 per session on Opus 5.5. 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.
fast-litellm CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fast-litellm CLAUDE.mdneul-labs/fast-litellm | Instructions file | 48 | 5d ago | MIT | C | 1,987 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |