Локальные LLM
litellm
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, an…
★ 60,1 тыс. звёздCustom
Смотреть руководство →api-relay-audit — проект с открытым исходным кодом из категории «Локальные LLM» от toby-bridges (toby-bridges/api-relay-audit на GitHub). У него 865 звёзд на GitHub и 82 форка, он распространяется по лицензии AGPL-3.0 и последний раз обновлялся на GitHub 3 октября 2026.
Local security auditor for AI API relays — catches injection and swaps.
Set it up from the repo.
Target your AI API proxy.
It probes for injection, swaps, and leaks.
Harden the relay based on results.
Finds prompt injection in the relay path.
Catches silent model swaps.
Detects rewritten tool calls.
Spots sensitive data in errors.
Monitors streaming irregularities.
Runs on your machine, privately.
Download the source and move into the project folder.
git clone https://github.com/toby-bridges/api-relay-audit.git
cd api-relay-auditEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandA proxy that forwards your app's calls to model providers, sometimes adding markup or risk.
Commercial use is allowed, but network use of modified versions requires sharing source.
It targets AI API relays and LLM proxies; check the docs for compatibility.
It audits the relay path; check the docs for credential handling.
Yes, it is designed to run on your own machine.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, an…
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