Gemini - AI Studio

Use Google’s AI Studio to access the Gemini and Gemma models.

Authentication

Set your GOOGLE_API_KEY environment variable. You can get one from Google here.

export GOOGLE_API_KEY=***

setx GOOGLE_API_KEY ***

Example

Use Gemini with your Agent:

from phi.agent import Agent, RunResponse
from phi.model.google import Gemini

agent = Agent(
    model=Gemini(id="gemini-1.5-flash"),
    markdown=True,
)

# Get the response in a variable
# run: RunResponse = agent.run("Share a 2 sentence horror story.")
# print(run.content)

# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story.")

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.

Getting Started

Documentation

How To

Gemini - AI Studio

Authentication

Example

Params

​Authentication

​Example

​Params

Authentication

Example

Params