For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).

Python class

LogProb

LogProb

class max.pipelines.request.LogProb(*, token, logprob, bytes=None, top_logprobs=None)

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Bases: BaseModel

Log probability information for output tokens.

Parameters:

• token (str)
• logprob (float)
• bytes (list[int] | None)
• top_logprobs (list[TopLogProb] | None)

bytes

bytes: list[int] | None

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logprob

logprob: float

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model_config

model_config: ClassVar[ConfigDict] = {'frozen': True}

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Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

token

token: str

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top_logprobs

top_logprobs: list[TopLogProb] | None

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