Optional apiGoogle API key to use
Optional cacheOptional callbackUse callbacks instead
Optional callbacksOptional maxThe maximum number of concurrent calls that can be made.
Defaults to Infinity, which means no limit.
Optional maxMaximum number of tokens to generate in the completion.
Optional maxThe maximum number of retries that can be made for a single call, with an exponential backoff between each attempt. Defaults to 6.
Optional metadataOptional modelModel Name to use
Note: The format must follow the pattern - {model}
Optional onCustom handler to handle failed attempts. Takes the originally thrown error object as input, and should itself throw an error if the input error is not retryable.
Optional safetyA list of unique SafetySetting instances for blocking unsafe content. The API will block
any prompts and responses that fail to meet the thresholds set by these settings. If there
is no SafetySetting for a given SafetyCategory provided in the list, the API will use
the default safety setting for that category.
Optional stopThe set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a stop sequence.
Note: The stop sequence will not be included as part of the response. Note: stopSequences is only supported for Gemini models
Optional tagsOptional temperatureControls the randomness of the output.
Values can range from [0.0,1.0], inclusive. A value closer to 1.0 will produce responses that are more varied and creative, while a value closer to 0.0 will typically result in less surprising responses from the model.
Note: The default value varies by model
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).
Note: The default value varies by model
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).
Note: The default value varies by model
Optional verboseGenerated using TypeDoc
An interface defining the input to the ChatGoogleGenerativeAI class.