Files
langchain/libs
John Kennedy 937c8471b1 Add randomized codeword defense against DataFlip attacks (arXiv:2507.05630)
TaskShield now uses randomly generated 12-character alphabetical codewords
instead of predictable YES/NO responses. This defends against DataFlip-style
adaptive attacks where injected content tries to:
1. Detect the presence of a verification prompt
2. Extract and return the expected 'approval' signal

Key changes:
- Generate unique approve/reject codewords per verification (26^12 ≈ 10^17 space)
- Strict validation: response must exactly match one codeword
- Any non-matching response (including YES/NO) is rejected (fail-closed)
- Updated prompts to use codeword placeholders

Tests: Added 12 new tests for codeword security including DataFlip attack
simulation, YES/NO rejection, empty response handling, and codeword generation.
2026-02-03 23:47:54 -08:00
..

Packages

Important

View all LangChain integrations packages

This repository is structured as a monorepo, with various packages located in this libs/ directory. Packages to note in this directory include:

core/             # Core primitives and abstractions for langchain
langchain/        # langchain-classic
langchain_v1/     # langchain
partners/         # Certain third-party providers integrations (see below)
standard-tests/   # Standardized tests for integrations
text-splitters/   # Text splitter utilities

(Each package contains its own README.md file with specific details about that package.)

Integrations (partners/)

The partners/ directory contains a small subset of third-party provider integrations that are maintained directly by the LangChain team. These include, but are not limited to:

Most integrations have been moved to their own repositories for improved versioning, dependency management, collaboration, and testing. This includes packages from popular providers such as Google and AWS. Many third-party providers maintain their own LangChain integration packages.

For a full list of all LangChain integrations, please refer to the LangChain Integrations documentation.