Example
from phi.agent import Agent
from phi.model.google import Gemini
agent = Agent(
model=Gemini(id="gemini-1.5-flash"),
show_tool_calls=True,
markdown=True,
)
agent.print_response("What is the stock price of NVDA and TSLA")
Gemini Params
| Parameter | Type | Default | Description |
|---|---|---|---|
id | str | "gemini-1.5-flash" | The specific Gemini model ID to use. |
name | str | "Gemini" | The name of this Gemini model instance. |
provider | str | "Google" | The provider of the model. |
function_declarations | Optional[List[FunctionDeclaration]] | None | List of function declarations for the model. |
generation_config | Optional[Any] | None | Configuration for text generation. |
safety_settings | Optional[Any] | None | Safety settings for the model. |
generative_model_kwargs | Optional[Dict[str, Any]] | None | Additional keyword arguments for the generative model. |
api_key | Optional[str] | None | API key for authentication. |
client_params | Optional[Dict[str, Any]] | None | Additional parameters for the client. |
client | Optional[GenerativeModel] | None | The underlying generative model client. |
Gemini is a subclass of the Model class and has access to the same params.