Abstract Optional fields: ChatGoogleBaseInput<AuthOptions>Maximum number of tokens to generate in the completion.
Model to use
Model to use
Alias for model
Whether or not to include usage data, like token counts in the streamed response chunks.
true
Sampling temperature to use
Top-k changes how the model selects tokens for output.
A top-k of 1 means the selected token is the most probable among all tokens in the model’s vocabulary (also called greedy decoding), while a top-k of 3 means that the next token is selected from among the 3 most probable tokens (using temperature).
Top-p changes how the model selects tokens for output.
Tokens are selected from most probable to least until the sum of their probabilities equals the top-p value.
For example, if tokens A, B, and C have a probability of .3, .2, and .1 and the top-p value is .5, then the model will select either A or B as the next token (using temperature).
Protected connectionProtected streamedOptional kwargs: Partial<GoogleAIBaseLanguageModelCallOptions>Abstract buildOptional fields: GoogleAIBaseLLMInput<AuthOptions>Optional fields: GoogleAIBaseLLMInput<AuthOptions>Optional fields: GoogleAIBaseLLMInput<AuthOptions>Get the parameters used to invoke the model
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Integration with a chat model.