text: You are a playwright. Given the title of play, it is your job to write a synopsis for that title.    Title: Documentary about Bigfoot in Paris    Playwright: This is a synopsis for the above play:        > Finished chain.    [{'text': "\n\nDocumentary about Bigfoot in Paris focuses on the story of a documentary filmmaker and their search for evidence of the legendary Bigfoot creature in the city of Paris. The play follows the filmmaker as they explore the city, meeting people from all walks of life who have had encounters with the mysterious creature. Through their conversations, the filmmaker unravels the story of Bigfoot and finds out the truth about the creature's presence in Paris. As the story progresses, the filmmaker learns more and more about the mysterious creature, as well as the different perspectives of the people living in the city, and what they think of the creature. In the end, the filmmaker's findings lead them to some surprising and heartwarming conclusions about the creature's existence and the importance it holds in the lives of the people in Paris."}]Scenario 3: Using an Agent with Toolsâ€‹Finally, as a more advanced workflow, you can create an agent that uses some tools. So that ArgillaCallbackHandler will keep track of the input and the output, but not about the intermediate steps/thoughts, so that given a prompt we log the original prompt and the final response to that given prompt.Note that for this scenario we'll be using Google Search API (Serp API) so you will need to both install google-search-results as pip install google-search-results, and to set the Serp API Key as os.environ["SERPAPI_API_KEY"] = "..." (you can find it at https://serpapi.com/dashboard), otherwise the example below won't work.from langchain.agents import AgentType, initialize_agent, load_toolsfrom