Model name to use
Model name to use
Alias for model
Number of completions to generate for each prompt
Penalizes repeated tokens
Whether to stream the results or not. Enabling disables tokenUsage reporting
Sampling temperature to use
Total probability mass of tokens to consider at each step
Optional
apiAPI key to use when making requests to OpenAI. Defaults to the value of
OPENAI_API_KEY
environment variable.
Optional
logitDictionary used to adjust the probability of specific tokens being generated
Optional
logprobsWhether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message.
Optional
maxMaximum number of tokens to generate in the completion. -1 returns as many tokens as possible given the prompt and the model's maximum context size.
Optional
modelHolds any additional parameters that are valid to pass to openai.createCompletion
that are not explicitly specified on this class.
Optional
openAIApiAPI key to use when making requests to OpenAI. Defaults to the value of
OPENAI_API_KEY
environment variable.
Alias for apiKey
Optional
prefixChatGPT messages to pass as a prefix to the prompt
Optional
stopList of stop words to use when generating
Alias for stopSequences
Optional
stopList of stop words to use when generating
Optional
streamWhether or not to include token usage data in streamed chunks.
Optional
supportsWhether the model supports the strict
argument when passing in tools.
If undefined
the strict
argument will not be passed to OpenAI.
Optional
timeoutTimeout to use when making requests to OpenAI.
Optional
topAn integer between 0 and 5 specifying the number of most likely tokens to return at each token position, each with an associated log probability. logprobs must be set to true if this parameter is used.
Optional
userUnique string identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
Penalizes repeated tokens according to frequency