Optional
apiSome APIs allow an API key instead
Optional
apiThe version of the API functions. Part of the path.
Optional
authOptional
convertOptional
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
modelModel to use
Alias for model
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
responseAvailable 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"
Optional
safetyOptional
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).
Generated using TypeDoc
Input to chat model class.