my-project-public

repository

loading code, commits, and activity

repositories

loading repo index

my-project-public — gitlawb

#1	from typing import Optional
#2	from pydantic import Field
#3
#4	from mem0.configs.rerankers.base import BaseRerankerConfig
#5
#6
#7	class LLMRerankerConfig(BaseRerankerConfig):
#8	"""
#9	Configuration for LLM-based reranker.
#10
#11	Attributes:
#12	model (str): LLM model to use for reranking. Defaults to "gpt-4o-mini".
#13	api_key (str): API key for the LLM provider.
#14	provider (str): LLM provider. Defaults to "openai".
#15	top_k (int): Number of top documents to return after reranking.
#16	temperature (float): Temperature for LLM generation. Defaults to 0.0 for deterministic scoring.
#17	max_tokens (int): Maximum tokens for LLM response. Defaults to 100.
#18	scoring_prompt (str): Custom prompt template for scoring documents.
#19	"""
#20
#21	model: str = Field(
#22	default="gpt-4o-mini",
#23	description="LLM model to use for reranking"
#24	)
#25	api_key: Optional[str] = Field(
#26	default=None,
#27	description="API key for the LLM provider"
#28	)
#29	provider: str = Field(
#30	default="openai",
#31	description="LLM provider (openai, anthropic, etc.)"
#32	)
#33	top_k: Optional[int] = Field(
#34	default=None,
#35	description="Number of top documents to return after reranking"
#36	)
#37	temperature: float = Field(
#38	default=0.0,
#39	description="Temperature for LLM generation"
#40	)
#41	max_tokens: int = Field(
#42	default=100,
#43	description="Maximum tokens for LLM response"
#44	)
#45	scoring_prompt: Optional[str] = Field(
#46	default=None,
#47	description="Custom prompt template for scoring documents"
#48	)
#49

z6Mkq5mY3JWtxoxUobWcfNHm7AkRubgSWEZTkBVqZXJviFZ5/my-project-public