Gemini - Agno

The Gemini model provides access to Google’s Gemini models.

Parameter	Type	Default	Description
`id`	`str`	`"gemini-2.0-flash-exp"`	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.
`grounding`	`bool`	`False`	Whether to use grounding.
`search`	`bool`	`False`	Whether to use search.
`grounding_dynamic_threshold`	`Optional[float]`	`None`	The dynamic threshold for grounding.
`api_key`	`Optional[str]`	`None`	API key for authentication.
`vertexai`	`bool`	`False`	Whether to use Vertex AI instead of Google AI Studio.
`project_id`	`Optional[str]`	`None`	Google Cloud project ID for Vertex AI.
`location`	`Optional[str]`	`None`	Google Cloud region for Vertex AI.
`client_params`	`Optional[Dict[str, Any]]`	`None`	Additional parameters for the client.
`client`	`Optional[GeminiClient]`	`None`	The underlying generative model client.
`temperature`	`Optional[float]`	`None`	Controls randomness in the output. Higher values (e.g., 0.8) make the output more random, while lower values (e.g., 0.2) make it more focused and deterministic.
`top_p`	`Optional[float]`	`None`	Nucleus sampling parameter. Only consider tokens whose cumulative probability exceeds this value.
`top_k`	`Optional[int]`	`None`	Only consider the top k tokens for text generation.
`max_output_tokens`	`Optional[int]`	`None`	The maximum number of tokens to generate in the response.
`stop_sequences`	`Optional[list[str]]`	`None`	List of sequences where the model should stop generating further tokens.
`logprobs`	`Optional[bool]`	`None`	Whether to return log probabilities of the output tokens.
`presence_penalty`	`Optional[float]`	`None`	Penalizes new tokens based on whether they appear in the text so far.
`frequency_penalty`	`Optional[float]`	`None`	Penalizes new tokens based on their frequency in the text so far.
`seed`	`Optional[int]`	`None`	Random seed for deterministic text generation.
`request_params`	`Optional[Dict[str, Any]]`	`None`	Additional parameters for the request.

Reference