Class FunctionDeclaration (1.92.0)

FunctionDeclaration(
 *,
 name: str,
 parameters: typing.Dict[str, typing.Any],
 description: typing.Optional[str] = None,
 response: typing.Optional[typing.Dict[str, typing.Any]] = None
)

```
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"},
 }
 ),
))
```

FunctionDeclaration(
 *,
 name: str,
 parameters: typing.Dict[str, typing.Any],
 description: typing.Optional[str] = None,
 response: typing.Optional[typing.Dict[str, typing.Any]] = None
)