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.
- responseFormat
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An object specifying the format that the model must output. Setting to {"type": "json_object"} enables JSON mode, which guarantees the message the model generates is valid JSON.
- seed
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This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Determinism is not guaranteed, and you should refer to the system_fingerprint response parameter to monitor changes in the backend.
- 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.
- toolChoice
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Controls which (if any) function is called by the model.
- tools
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A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for.
- 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 GPT35Turboobject GPT35Turbo0301object GPT4object GPT40314object GPT432kobject GPT432k0314object GPT4Turboobject GPT4TurboVisionShow all
Attributes
- Companion
- class
- Supertypes
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trait Sumtrait Mirrorclass Objecttrait Matchableclass Any
- Self type
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ChatCompletionModel.type
Attributes
- Companion
- trait
- Supertypes
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trait Sumtrait Mirrorclass Objecttrait Matchableclass Any
- Self type
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ResponseFormat.type
Attributes
- Companion
- object
- Supertypes
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class Objecttrait Matchableclass Any
- Known subtypes
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object JsonObjectobject Text