langchain/templates/openai-functions-agent-gmail

OpenAI Functions Agent - Gmail

This template implements a simple agent using OpenAI function calling imports directly from langchain-core and langchain-community.

This template creates an agent that uses OpenAI function calling to communicate its decisions on what actions to take.

This example creates an agent that can optionally look up information on the internet using Tavily's search engine.

Environment Setup

The following environment variables need to be set:

Set the OPENAI_API_KEY environment variable to access the OpenAI models.

Create a credentials.json file containing your OAuth client ID from Gmail. To customize authentication, see the Customize Auth section below.

Note: The first time you run this app, it will force you to go through a user authentication flow.

Usage

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

pip install -U langchain-cli

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

langchain app new my-app --package openai-functions-agent-gmail

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

langchain app add openai-functions-agent-gmail

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

from openai_functions_agent import agent_executor as openai_functions_agent_chain

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

(Optional) Let's now configure LangSmith. LangSmith will help us trace, monitor and debug LangChain applications. LangSmith is currently in private beta, you can sign up 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/openai-functions-agent-gmail/playground

We can access the template from code with:

from langserve.client import RemoteRunnable

runnable = RemoteRunnable("http://localhost:8000/openai-functions-agent-gmail")

Customize Auth

from langchain.tools.gmail.utils import build_resource_service, get_gmail_credentials

# Can review scopes here https://developers.google.com/gmail/api/auth/scopes
# For instance, readonly scope is 'https://www.googleapis.com/auth/gmail.readonly'
credentials = get_gmail_credentials(
    token_file="token.json",
    scopes=["https://mail.google.com/"],
    client_secrets_file="credentials.json",
)
api_resource = build_resource_service(credentials=credentials)
toolkit = GmailToolkit(api_resource=api_resource)