Abstract Optional fields: GoogleBaseLLMInput<AuthOptions>Maximum number of tokens to generate in the completion.
Model to use
Model to use
Alias for model
Available for gemini-1.5-pro.
The output format of the generated candidate text.
Supported MIME types:
text/plain: Text output.application/json: JSON response in the candidates."text/plain"
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).
Optional originalProtected connectionProtected streamedAbstract buildOptional fields: GoogleAIBaseLLMInput<AuthOptions>Optional fields: GoogleAIBaseLLMInput<AuthOptions>Optional fields: GoogleAIBaseLLMInput<AuthOptions>Protected createInternal implementation detail to allow Google LLMs to support multimodal input by delegating to the chat model implementation.
TODO: Replace with something less hacky.
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Integration with an LLM.