def is_valid_email(email):        pattern = re.compile(r"[^@]+@[^@]+\.[^@]+")        return pattern.match(email)    ```Full generation info‚ÄãWe can use the generate method to get back extra metadata like safety attributes and not just text completionsresult = llm.generate([question])result.generations    [[GenerationChunk(text='```python\nimport re\n\ndef is_valid_email(email):\n    pattern = re.compile(r"[^@]+@[^@]+\\.[^@]+")\n    return pattern.match(email)\n```', generation_info={'is_blocked': False, 'safety_attributes': {'Health': 0.1}})]]Asynchronous calls‚ÄãWith agenerate we can make asynchronous calls# If running in a Jupyter notebook you'll need to install nest_asyncio# !pip install nest_asyncioimport asyncio# import nest_asyncio# nest_asyncio.apply()asyncio.run(llm.agenerate([question]))    LLMResult(generations=[[GenerationChunk(text='```python\nimport re\n\ndef is_valid_email(email):\n    pattern = re.compile(r"[^@]+@[^@]+\\.[^@]+")\n    return pattern.match(email)\n```', generation_info={'is_blocked': False, 'safety_attributes': {'Health': 0.1}})]], llm_output=None, run=[RunInfo(run_id=UUID('caf74e91-aefb-48ac-8031-0c505fcbbcc6'))])Streaming calls‚ÄãWith stream we can stream results from the modelimport sysfor chunk in llm.stream(question):    sys.stdout.write(chunk)    sys.stdout.flush()    ```python    import re        def is_valid_email(email):      """      Checks if a string is a valid email address.          Args:        email: The string to check.          Returns:        True if the string is a valid email address, False otherwise.      """          # Check for a valid email address format.      if not re.match(r"^[A-Za-z0-9\.\+_-]+@[A-Za-z0-9\._-]+\.[a-zA-Z]*$", email):        return False          # Check if the domain name exists.      try:        domain = email.split("@")[1]        socket.gethostbyname(domain)      except socket.gaierror:        return False          return True    ```Vertex Model Garden‚ÄãVertex Model Garden exposes
Note: This is separate from the Google PaLM integration, it exposes Vertex AI PaLM API on Google Cloud.
Note: This is separate from the Google PaLM integration, it exposes Vertex AI PaLM API on Google Cloud. ->: def is_valid_email(email):        pattern = re.compile(r"[^@]+@[^@]+\.[^@]+")        return pattern.match(email)    ```Full generation info‚ÄãWe can use the generate method to get back extra metadata like safety attributes and not just text completionsresult = llm.generate([question])result.generations    [[GenerationChunk(text='```python\nimport re\n\ndef is_valid_email(email):\n    pattern = re.compile(r"[^@]+@[^@]+\\.[^@]+")\n    return pattern.match(email)\n```', generation_info={'is_blocked': False, 'safety_attributes': {'Health': 0.1}})]]Asynchronous calls‚ÄãWith agenerate we can make asynchronous calls# If running in a Jupyter notebook you'll need to install nest_asyncio# !pip install nest_asyncioimport asyncio# import nest_asyncio# nest_asyncio.apply()asyncio.run(llm.agenerate([question]))    LLMResult(generations=[[GenerationChunk(text='```python\nimport re\n\ndef is_valid_email(email):\n    pattern = re.compile(r"[^@]+@[^@]+\\.[^@]+")\n    return pattern.match(email)\n```', generation_info={'is_blocked': False, 'safety_attributes': {'Health': 0.1}})]], llm_output=None, run=[RunInfo(run_id=UUID('caf74e91-aefb-48ac-8031-0c505fcbbcc6'))])Streaming calls‚ÄãWith stream we can stream results from the modelimport sysfor chunk in llm.stream(question):    sys.stdout.write(chunk)    sys.stdout.flush()    ```python    import re        def is_valid_email(email):      """      Checks if a string is a valid email address.          Args:        email: The string to check.          Returns:        True if the string is a valid email address, False otherwise.      """          # Check for a valid email address format.      if not re.match(r"^[A-Za-z0-9\.\+_-]+@[A-Za-z0-9\._-]+\.[a-zA-Z]*$", email):        return False          # Check if the domain name exists.      try:        domain = email.split("@")[1]        socket.gethostbyname(domain)      except socket.gaierror:        return False          return True    ```Vertex Model Garden‚ÄãVertex Model Garden exposes