Generate Content using Pydantic Function Calling

This sample demonstrates how to use Pydantic Function declaration to influence the content generated by Gemini MultiModal

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For detailed documentation that includes this code sample, see the following:

Code sample

Python

Before trying this sample, follow the Python setup instructions in the Vertex AI quickstart using client libraries . For more information, see the Vertex AI Python API reference documentation .

To authenticate to Vertex AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  from 
  
 google 
  
 import 
 genai 
 from 
  
 google.genai.types 
  
 import 
 GenerateContentConfig 
 , 
 HttpOptions 
 def 
  
 get_current_weather 
 ( 
 location 
 : 
 str 
 ) 
 - 
> str 
 : 
  
 """Example method. Returns the current weather. 
 Args: 
 location: The city and state, e.g. San Francisco, CA 
 """ 
 weather_map 
 : 
 dict 
 [ 
 str 
 , 
 str 
 ] 
 = 
 { 
 "Boston, MA" 
 : 
 "snowing" 
 , 
 "San Francisco, CA" 
 : 
 "foggy" 
 , 
 "Seattle, WA" 
 : 
 "raining" 
 , 
 "Austin, TX" 
 : 
 "hot" 
 , 
 "Chicago, IL" 
 : 
 "windy" 
 , 
 } 
 return 
 weather_map 
 . 
 get 
 ( 
 location 
 , 
 "unknown" 
 ) 
 client 
 = 
 genai 
 . 
 Client 
 ( 
 http_options 
 = 
 HttpOptions 
 ( 
 api_version 
 = 
 "v1" 
 )) 
 model_id 
 = 
 "gemini-2.5-flash" 
 response 
 = 
 client 
 . 
 models 
 . 
 generate_content 
 ( 
 model 
 = 
 model_id 
 , 
 contents 
 = 
 "What is the weather like in Boston?" 
 , 
 config 
 = 
 GenerateContentConfig 
 ( 
 tools 
 = 
 [ 
 get_current_weather 
 ], 
 temperature 
 = 
 0 
 , 
 ), 
 ) 
 print 
 ( 
 response 
 . 
 text 
 ) 
 # Example response: 
 # The weather in Boston is sunny. 
 

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