:iHSSKJr SSKJr "SS\5r"SS\5rg))Field) MistralBasecJ\rSrSr%SrSr\\S'Sr\S-\S'Sr \\S'Sr g) UsageInfoaaUsage 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_tokensNcompletion_tokens total_tokens) __name__ __module__ __qualname____firstlineno____doc__rint__annotations__r r __static_attributes__r V/home/james-whalen/.local/lib/python3.13/site-packages/mistral_common/protocol/base.pyrrs, M3$%sTz%L#rrc\rSrSr%Sr\"SSSS9r\\S'\"SSSS9r \\S'\"S S S 9r \ S -\S '\"S S S 9r \ S -\S 'Sr g )BaseCompletionRequesta!Base 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_seedr )r r rrrrrfloatrrrrrrr rrrrsY sss;K;5E55"4A6Jd 6#DQ7Kt7rrN)pydanticrmistral_common.baserrrr rrr#s#+ "8K8r