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Security Policy

We strongly recommend using the latest version of Langfuse to receive all security updates.

services:

langfuse-web:

x-redis-cluster-common-env: &redis-cluster-common-env

REDIS_PASSWORD: bitnami

Code Review Instructions

- ClickHouse migrations in the packages/shared/clickhouse/migrations/clustered directory should include ON CLUSTER default and should use Replicated merge tree table types.

Untitled Skill

services:

clickhouse:

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CLAUDE.md

Langfuse is an open-source LLM engineering platform that helps teams collaboratively develop, monitor, evaluate, and debug AI applications.

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First off, thanks for taking the time to contribute! ❤️

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.agents/AGENTS.md

generic skill

Generated code

packages/shared/prisma/generated

public-hoist-pattern[]=prisma

public-hoist-pattern[]=@aws-sdk/client-s3

.nvmrc

v24.6.0

See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

/node_modules

Dockerfile

.dockerignore

[codespell]

skip = .git,.pdf,.svg,package-lock.json,*.prisma,pnpm-lock.yaml,./worker/src/tests/chatml/framework-traces

site_name: LLM Guard

site_author: Protect AI, Inc.

Security Policy

We take the security of our software products seriously, which includes not only the code base but also the scanners provided within. If you have found any issues that might have security implications...

repos:

- repo: https://github.com/pre-commit/pre-commit-hooks

Byte-compiled / optimized / DLL files

pycache/

.markdownlint.yml

MD004: false # Unordered list style

LLM Guard - The Security Toolkit for LLM Interactions

LLM Guard by Protect AI is a comprehensive tool designed to fortify the security of Large Language Models (LLMs).