text: personal data as outlined in the Cloud Data Processing Addendum, subject to applicable restrictions and obligations in the Agreement (as defined in the Preview Terms).To use Vertex AI PaLM you must have the google-cloud-aiplatform Python package installed and either:Have credentials configured for your environment (gcloud, workload identity, etc...)Store the path to a service account JSON file as the GOOGLE_APPLICATION_CREDENTIALS environment variableThis codebase uses the google.auth library which first looks for the application credentials variable mentioned above, and then looks for system-level auth.For more information, see: https://cloud.google.com/docs/authentication/application-default-credentials#GAChttps://googleapis.dev/python/google-auth/latest/reference/google.auth.html#module-google.auth#!pip install google-cloud-aiplatformfrom langchain.llms import VertexAIfrom langchain import PromptTemplate, LLMChaintemplate = """Question: {question}Answer: Let's think step by step."""prompt = PromptTemplate(template=template, input_variables=["question"])llm = VertexAI()llm_chain = LLMChain(prompt=prompt, llm=llm)question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"llm_chain.run(question)    'Justin Bieber was born on March 1, 1994. The Super Bowl in 1994 was won by the San Francisco 49ers.\nThe final answer: San Francisco 49ers.'You can now leverage the Codey API for code generation within Vertex AI. The model names are:code-bison: for code suggestioncode-gecko: for code completionllm = VertexAI(model_name="code-bison")llm_chain = LLMChain(prompt=prompt, llm=llm)question = "Write a python function that identifies if the number is a prime number?"llm_chain.run(question)    '```python\ndef is_prime(n):\n  """\n