Optional apiSome APIs allow an API key instead
Optional apiThe version of the API functions. Part of the path.
Optional authOptional endpointHostname for the API call (if this is running on GCP)
Optional locationRegion where the LLM is stored (if this is running on GCP)
Optional maxMaximum number of tokens to generate in the completion.
Optional modelModel to use
Optional platformWhat platform to run the service on. If not specified, the class should determine this from other means. Either way, the platform actually used will be in the "platform" getter.
Optional safetyOptional stopOptional temperatureSampling temperature to use
Optional topKTop-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).
Optional topPTop-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).
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Input to chat model class.