mirror of
https://github.com/hwchase17/langchain
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a74f3a4979
**Description:** Batch update of alt text and title attributes for images in `md` & `mdx` files across the repo using [alttexter](https://github.com/jonathanalgar/alttexter)/[alttexter-ghclient](https://github.com/jonathanalgar/alttexter-ghclient) (built using LangChain/LangSmith). **Limitation:** cannot update `ipynb` files because of [this issue](https://github.com/langchain-ai/langchain/pull/15357#issuecomment-1885037250). Can revisit when Docusaurus is bumped to v3. I checked all the generated alt texts and titles and didn't find any technical inaccuracies. That's not to say they're _perfect_, but a lot better than what's there currently. [Deployed](https://langchain-819yf1tbk-langchain.vercel.app/docs/modules/model_io/) image example:  You can see LangSmith traces for all the calls out to the LLM in the PRs merged into this one: * https://github.com/jonathanalgar/langchain/pull/6 * https://github.com/jonathanalgar/langchain/pull/4 * https://github.com/jonathanalgar/langchain/pull/3 I didn't add the following files to the PR as the images already have OK alt texts: *27dca2d92f/docs/docs/integrations/providers/argilla.mdx (L3)*27dca2d92f/docs/docs/integrations/providers/apify.mdx (L11)--------- Co-authored-by: github-actions <github-actions@github.com>
102 lines
4.7 KiB
Markdown
102 lines
4.7 KiB
Markdown
# OpenAI Functions Agent - Gmail
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Ever struggled to reach inbox zero?
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Using this template, you can create and customize your very own AI assistant to manage your Gmail account. Using the default Gmail tools, it can read, search through, and draft emails to respond on your behalf. It also has access to a Tavily search engine so it can search for relevant information about any topics or people in the email thread before writing, ensuring the drafts include all the relevant information needed to sound well-informed.
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## The details
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This assistant uses OpenAI's [function calling](https://python.langchain.com/docs/modules/chains/how_to/openai_functions) support to reliably select and invoke the tools you've provided
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This template also imports directly from [langchain-core](https://pypi.org/project/langchain-core/) and [`langchain-community`](https://pypi.org/project/langchain-community/) where appropriate. We have restructured LangChain to let you select the specific integrations needed for your use case. While you can still import from `langchain` (we are making this transition backwards-compatible), we have separated the homes of most of the classes to reflect ownership and to make your dependency lists lighter. Most of the integrations you need can be found in the `langchain-community` package, and if you are just using the core expression language API's, you can even build solely based on `langchain-core`.
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## Environment Setup
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The following environment variables need to be set:
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Set the `OPENAI_API_KEY` environment variable to access the OpenAI models.
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Set the `TAVILY_API_KEY` environment variable to access Tavily search.
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Create a [`credentials.json`](https://developers.google.com/gmail/api/quickstart/python#authorize_credentials_for_a_desktop_application) file containing your OAuth client ID from Gmail. To customize authentication, see the [Customize Auth](#customize-auth) section below.
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_*Note:* The first time you run this app, it will force you to go through a user authentication flow._
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(Optional): Set `GMAIL_AGENT_ENABLE_SEND` to `true` (or modify the `agent.py` file in this template) to give it access to the "Send" tool. This will give your assistant permissions to send emails on your behalf without your explicit review, which is not recommended.
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## Usage
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To use this package, you should first have the LangChain CLI installed:
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```shell
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pip install -U langchain-cli
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```
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To create a new LangChain project and install this as the only package, you can do:
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```shell
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langchain app new my-app --package openai-functions-agent-gmail
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```
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If you want to add this to an existing project, you can just run:
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```shell
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langchain app add openai-functions-agent-gmail
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```
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And add the following code to your `server.py` file:
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```python
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from openai_functions_agent import agent_executor as openai_functions_agent_chain
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add_routes(app, openai_functions_agent_chain, path="/openai-functions-agent-gmail")
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```
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(Optional) Let's now configure LangSmith.
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LangSmith will help us trace, monitor and debug LangChain applications.
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LangSmith is currently in private beta, you can sign up [here](https://smith.langchain.com/).
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If you don't have access, you can skip this section
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```shell
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export LANGCHAIN_TRACING_V2=true
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export LANGCHAIN_API_KEY=<your-api-key>
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export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
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```
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If you are inside this directory, then you can spin up a LangServe instance directly by:
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```shell
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langchain serve
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```
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This will start the FastAPI app with a server is running locally at
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[http://localhost:8000](http://localhost:8000)
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We can see all templates at [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs)
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We can access the playground at [http://127.0.0.1:8000/openai-functions-agent-gmail/playground](http://127.0.0.1:8000/openai-functions-agent/playground)
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We can access the template from code with:
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```python
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from langserve.client import RemoteRunnable
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runnable = RemoteRunnable("http://localhost:8000/openai-functions-agent-gmail")
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```
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## Customize Auth
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```
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from langchain_community.tools.gmail.utils import build_resource_service, get_gmail_credentials
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# Can review scopes here https://developers.google.com/gmail/api/auth/scopes
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# For instance, readonly scope is 'https://www.googleapis.com/auth/gmail.readonly'
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credentials = get_gmail_credentials(
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token_file="token.json",
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scopes=["https://mail.google.com/"],
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client_secrets_file="credentials.json",
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)
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api_resource = build_resource_service(credentials=credentials)
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toolkit = GmailToolkit(api_resource=api_resource)
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``` |