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AI Guard Data Ingestion for LangChain in Python

An example Python app that demonstrates integrating Pangea's AI Guard service into a LangChain app to protect data ingestion.

In this case, the data to be ingested consists of articles about authentication from our Secure by Design Hub included in langchain_aig_ingestion/data.

Prerequisites

Setup

git clone https://github.com/pangeacyber/langchain-python-aig-ingestion.git
cd langchain-python-aig-ingestion

If using pip:

python -m venv .venv
source .venv/bin/activate
pip install .

Or, if using uv:

uv sync
source .venv/bin/activate

The sample can then be executed with:

python -m langchain_aig_ingestion "What do you know about OAuth?"

Note: Because our context is limited to the authentication articles mentioned above, if you ask a question outside that context, you will get some variation of "I don't know."

Usage

Usage: python -m langchain_aig_ingestion [OPTIONS] PROMPT

Options:
  --model TEXT             OpenAI model.  [default: gpt-4o-mini; required]
  --ai-guard-token SECRET  Pangea AI Guard API token. May also be set via the
                           `PANGEA_AI_GUARD_TOKEN` environment variable.
                           [required]
  --pangea-domain TEXT     Pangea API domain. May also be set via the
                           `PANGEA_DOMAIN` environment variable.  [default:
                           aws.us.pangea.cloud; required]
  --openai-api-key SECRET  OpenAI API key. May also be set via the
                           `OPENAI_API_KEY` environment variable.  [required]
  --help                   Show this message and exit.

Example Input

python -m langchain_aig_ingestion "What do you know about OAuth?"

Sample Output

OAuth 2.0 is a protocol primarily focused on authorization and resource access control, while OpenID Connect (OIDC) is built on top of OAuth 2.0 and specializes in user authentication. OIDC allows applications to verify a user's identity through a trusted identity provider, ensuring that apps do not handle sensitive user credentials directly. This combination provides a secure and convenient authentication process for users accessing online services.