FunctionDeclaration( *, name: str, parameters: typing.Dict[str, typing.Any], description: typing.Optional[str] = None, response: typing.Optional[typing.Dict[str, typing.Any]] = None )A representation of a function declaration.
Usage: Create function declaration and tool:
``` get_current_weather_func = generative_models.FunctionDeclaration( name="get_current_weather", description="Get the current weather in a given location", parameters={ "type": "object", "properties": { "location": { "type": "string", "description": "The city and state, e.g. San Francisco, CA" }, "unit": { "type": "string", "enum": [ "celsius", "fahrenheit", ] } }, "required": [ "location" ] }, # Optional: response={ "type": "object", "properties": { "weather": { "type": "string", "description": "The weather in the city" }, }, }, ) weather_tool = generative_models.Tool( function_declarations=[get_current_weather_func], ) ``` Use tool in `GenerativeModel.generate_content`: ``` model = GenerativeModel("gemini-pro") print(model.generate_content( "What is the weather like in Boston?", # You can specify tools when creating a model to avoid having to send them with every request. tools=[weather_tool], )) ``` Use tool in chat: ``` model = GenerativeModel( "gemini-pro", # You can specify tools when creating a model to avoid having to send them with every request. tools=[weather_tool], ) chat = model.start_chat() print(chat.send_message("What is the weather like in Boston?")) print(chat.send_message( Part.from_function_response( name="get_current_weather", response={ "content": {"weather_there": "super nice"}, } ), )) ``` Methods
FunctionDeclaration
FunctionDeclaration( *, name: str, parameters: typing.Dict[str, typing.Any], description: typing.Optional[str] = None, response: typing.Optional[typing.Dict[str, typing.Any]] = None )Constructs a FunctionDeclaration.