ChatRequestBody
Attributes
- Graph
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- Supertypes
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class Objecttrait Matchableclass Any
- Self type
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ChatRequestBody.type
Members list
Type members
Classlikes
Value parameters
- frequencyPenalty
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Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
- logitBias
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Modify the likelihood of specified tokens appearing in the completion.
- maxTokens
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The maximum number of tokens to generate in the chat completion.
- messages
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A list of messages describing the conversation so far.
- model
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ID of the model to use.
- n
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How many chat completion choices to generate for each input message.
- presencePenalty
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Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
- stop
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Up to 4 sequences where the API will stop generating further tokens.
- temperature
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What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
- topP
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An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
- user
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A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
Attributes
- Companion
- object
- Supertypes
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trait Serializabletrait Producttrait Equalsclass Objecttrait Matchableclass AnyShow all
Attributes
- Companion
- object
- Supertypes
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class Objecttrait Matchableclass Any
- Known subtypes
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object GPT35Turbo.typeobject GPT35Turbo0301.typeobject GPT4.typeobject GPT40314.typeobject GPT432k.typeobject GPT432k0314.typeShow all
Attributes
- Companion
- class
- Supertypes
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trait Sumtrait Mirrorclass Objecttrait Matchableclass Any
- Self type
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ChatCompletionModel.type