PII-protected chatbot

This template creates a chatbot that flags any incoming Personal Identification Information (PII) and doesn't pass it to the LLM.

It uses the Microsoft Presidio, the Data Protection and De-identification SDK.

Environment Setup

The following environment variables need to be set:

Set the OPENAI_API_KEY environment variable to access the OpenAI models.

Usage

To use this package, you should first have the LangChain CLI installed:

pip install -U "langchain-cli[serve]"

To create a new LangChain project and install this as the only package, you can do:

langchain app new my-app --package pii-protected-chatbot

If you want to add this to an existing project, you can just run:

langchain app add pii-protected-chatbot

And add the following code to your server.py file:

from pii_protected_chatbot.chain import chain as pii_protected_chatbot

add_routes(app, pii_protected_chatbot, path="/openai-functions-agent")

(Optional) Let's now configure LangSmith. LangSmith will help us trace, monitor and debug LangChain applications. You can sign up for LangSmith here. If you don't have access, you can skip this section

export LANGCHAIN_TRACING_V2=true
export LANGCHAIN_API_KEY=<your-api-key>
export LANGCHAIN_PROJECT=<your-project>  # if not specified, defaults to "default"

If you are inside this directory, then you can spin up a LangServe instance directly by:

langchain serve

This will start the FastAPI app with a server is running locally at http://localhost:8000

We can see all templates at http://127.0.0.1:8000/docs We can access the playground at http://127.0.0.1:8000/pii_protected_chatbot/playground

We can access the template from code with:

from langserve.client import RemoteRunnable

runnable = RemoteRunnable("http://localhost:8000/pii_protected_chatbot")