Prompt Protection for LangChain in Python

An example CLI tool that demonstrates integrating Pangea services into a LangChain app to capture and filter what users are sending to LLMs:

Secure Audit Log — Create an event when a human prompt is received.
Redact — Remove sensitive information from prompts.
Domain Intel — Stop prompts with malicious domains from going to the LLM.
IP Intel — Stop prompts with malicious IP addresses from going to the LLM.
URL Intel — Stop prompts with malicious URLs from going to the LLM.

Prerequisites

Python v3.12 or greater.
pip v24.2 or uv v0.4.5.
A Pangea account with all of the above services enabled.
- Note: For Domain Intel, you should also set a default provider.
An OpenAI API key.

Setup

git clone https://github.com/pangeacyber/langchain-python-prompt-protection.git
cd langchain-python-prompt-protection

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_prompt_protection "Give me information on John Smith."

Usage

Usage: python -m langchain_prompt_protection [OPTIONS] PROMPT

Options:
  --model TEXT                 OpenAI model.  [default: gpt-4o-mini; required]
  --audit-token SECRET         Pangea Secure Audit Log API token. May also be
                               set via the `PANGEA_AUDIT_TOKEN` environment
                               variable.  [required]
  --audit-config-id TEXT       Pangea Secure Audit Log configuration ID.
  --domain-intel-token SECRET  Pangea Domain Intel API token. May also be set
                               via the `PANGEA_DOMAIN_INTEL_TOKEN` environment
                               variable.  [required]
  --ip-intel-token SECRET      Pangea IP Intel API token. May also be set via
                               the `PANGEA_IP_INTEL_TOKEN` environment
                               variable.  [required]
  --redact-token SECRET        Pangea Redact API token. May also be set via
                               the `PANGEA_REDACT_TOKEN` environment variable.
                               [required]
  --redact-config-id TEXT      Pangea Redact configuration ID.
  --url-intel-token SECRET     Pangea URL Intel API token. May also be set via
                               the `PANGEA_URL_INTEL_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_prompt_protection "What do you know about Michael Jordan the basketball player?"

Received by OpenAI

What do you know about **** the basketball player?

Sample Output

It seems like you might have intended to mention a specific player but did not include their name. Could you please provide the name of the basketball player you are interested in? That way, I can give you more accurate and relevant information.

Audit logs and the results of any redactions can be viewed at the Secure Audit Log Viewer.