Gemini - VertexAI

VertexAI is Google’s cloud platform for building, training, and deploying machine learning models.

Authentication

Use Gemini with your Agent:

Parameter	Type	Default	Description
`id`	`str`	`"claude-3-5-sonnet-20240620"`	The specific model ID used for generating responses.
`name`	`str`	`"Claude"`	The name identifier for the agent.
`provider`	`str`	`"Anthropic"`	The provider of the model.
`max_tokens`	`Optional[int]`	`1024`	The maximum number of tokens to generate in the response.
`temperature`	`Optional[float]`	-	The sampling temperature to use, between 0 and 2. Higher values like 0.8 make the output more random, while lower values like 0.2 make it more focused and deterministic.
`stop_sequences`	`Optional[List[str]]`	-	A list of sequences where the API will stop generating further tokens.
`top_p`	`Optional[float]`	-	Nucleus sampling parameter. The model considers the results of the tokens with top_p probability mass.
`top_k`	`Optional[int]`	-	The number of highest probability vocabulary tokens to keep for top-k-filtering.
`request_params`	`Optional[Dict[str, Any]]`	-	Additional parameters to include in the request.
`api_key`	`Optional[str]`	-	The API key for authenticating requests to the service.
`client_params`	`Optional[Dict[str, Any]]`	-	Additional parameters for client configuration.
`client`	`Optional[AnthropicClient]`	-	A pre-configured instance of the Anthropic client.