text: In code, below:import os# get from https://platform.openai.com/os.environ["OPENAI_API_KEY"] = os.environ.get("OPENAI_API_KEY", "")# get from https://nla.zapier.com/docs/authentication/ after logging in):os.environ["ZAPIER_NLA_API_KEY"] = os.environ.get("ZAPIER_NLA_API_KEY", "")Example with Agentâ€‹Zapier tools can be used with an agent. See the example below.from langchain.llms import OpenAIfrom langchain.agents import initialize_agentfrom langchain.agents.agent_toolkits import ZapierToolkitfrom langchain.agents import AgentTypefrom langchain.utilities.zapier import ZapierNLAWrapper## step 0. expose gmail 'find email' and slack 'send channel message' actions# first go here, log in, expose (enable) the two actions: https://nla.zapier.com/demo/start -- for this example, can leave all fields "Have AI guess"# in an oauth scenario, you'd get your own <provider> id (instead of 'demo') which you route your users through firstllm = OpenAI(temperature=0)zapier = ZapierNLAWrapper()toolkit = ZapierToolkit.from_zapier_nla_wrapper(zapier)agent = initialize_agent(    toolkit.get_tools(), llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)agent.run(    "Summarize the last email I received regarding Silicon Valley Bank. Send the summary to the #test-zapier channel in slack.")            > Entering new AgentExecutor chain...     I need to find the email and summarize it.    Action: Gmail: Find Email    Action Input: Find the latest email from Silicon Valley Bank    Observation: