Gemini

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.

MacWindows

export GOOGLE_API_KEY=***

​Example

Use Gemini with your Agent:

agent.py

from bitca.agent import Agent, RunResponse
from bitca.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.