class VertexAIGoogleLLMThe async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.
Maximum number of tokens to generate in the completion. This may include reasoning tokens (for backwards compatibility).
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.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).
Whether to print out response text.
Integration with a Google Vertex AI LLM using the "@langchain/google-gauth" package for auth.