o #1 i@sHddlmZddlmZddlmZGdddeZGdddeZdS) )Optional)Field) MistralBasec@s:eZdZUdZdZeed<dZeeed<dZ eed<dS) UsageInfoa}Usage statistics for a completion request. Attributes: prompt_tokens: Number of tokens in the prompt. completion_tokens: Number of tokens in the generated completion. total_tokens: Total number of tokens used in the request (prompt + completion). Examples: >>> info = UsageInfo(prompt_tokens=10, completion_tokens=20, total_tokens=30) r prompt_tokenscompletion_tokens total_tokensN) __name__ __module__ __qualname____doc__rint__annotations__rrrrrh/home/app/PaddleOCR-VL-test/.venv_paddleocr/lib/python3.10/site-packages/mistral_common/protocol/base.pyrs  rc@sneZdZUdZeddddZeed<eddddZeed<edd d Z e e ed <edd d Z e e ed <dS) BaseCompletionRequestaEBase class for completion requests. Attributes: temperature: Sampling temperature to use, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. top_p: Nucleus sampling parameter, top-p probability mass, between 0 and 1. max_tokens: Maximum number of tokens to generate. random_seed: Random seed for reproducibility. Examples: >>> request = BaseCompletionRequest(temperature=0.7, top_p=0.9, max_tokens=100, random_seed=42) gffffff?gg?)defaultgele temperaturetop_pNr)rr max_tokens random_seed) r r r r rrfloatrrrrr rrrrrrs  rN)typingrZpydanticrZmistral_common.baserrrrrrrs