# openai-functions-agent 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. Set the `TAVILY_API_KEY` environment variable to access Tavily. ## Usage To use this package, you should first have the LangChain CLI installed: ```shell pip install -U "langchain-cli[serve]" ``` To create a new LangChain project and install this as the only package, you can do: ```shell langchain app new my-app --package openai-functions-agent ``` If you want to add this to an existing project, you can just run: ```shell langchain app add openai-functions-agent ``` And add the following code to your `server.py` file: ```python from openai_functions_agent import chain as openai_functions_agent_chain add_routes(app, openai_functions_agent_chain, path="/openai-functions-agent") ``` (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](https://smith.langchain.com/). If you don't have access, you can skip this section ```shell export LANGCHAIN_TRACING_V2=true export LANGCHAIN_API_KEY= export LANGCHAIN_PROJECT= # if not specified, defaults to "default" ``` If you are inside this directory, then you can spin up a LangServe instance directly by: ```shell langchain serve ``` This will start the FastAPI app with a server is running locally at [http://localhost:8000](http://localhost:8000) We can see all templates at [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs) We can access the playground at [http://127.0.0.1:8000/openai-functions-agent/playground](http://127.0.0.1:8000/openai-functions-agent/playground) We can access the template from code with: ```python from langserve.client import RemoteRunnable runnable = RemoteRunnable("http://localhost:8000/openai-functions-agent") ```