57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
from typing import Optional
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from mem0.configs.llms.base import BaseLlmConfig
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class MinimaxConfig(BaseLlmConfig):
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"""
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Configuration class for MiniMax-specific parameters.
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Inherits from BaseLlmConfig and adds MiniMax-specific settings.
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"""
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def __init__(
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self,
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# Base parameters
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model: Optional[str] = None,
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temperature: float = 0.1,
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api_key: Optional[str] = None,
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max_tokens: int = 2000,
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top_p: float = 0.1,
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top_k: int = 1,
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enable_vision: bool = False,
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vision_details: Optional[str] = "auto",
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http_client_proxies: Optional[dict] = None,
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# MiniMax-specific parameters
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minimax_base_url: Optional[str] = None,
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):
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"""
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Initialize MiniMax configuration.
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Args:
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model: MiniMax model to use, defaults to None
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temperature: Controls randomness, defaults to 0.1
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api_key: MiniMax API key, defaults to None
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max_tokens: Maximum tokens to generate, defaults to 2000
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top_p: Nucleus sampling parameter, defaults to 0.1
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top_k: Top-k sampling parameter, defaults to 1
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enable_vision: Enable vision capabilities, defaults to False
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vision_details: Vision detail level, defaults to "auto"
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http_client_proxies: HTTP client proxy settings, defaults to None
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minimax_base_url: MiniMax API base URL, defaults to None
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"""
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# Initialize base parameters
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super().__init__(
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model=model,
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temperature=temperature,
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api_key=api_key,
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max_tokens=max_tokens,
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top_p=top_p,
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top_k=top_k,
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enable_vision=enable_vision,
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vision_details=vision_details,
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http_client_proxies=http_client_proxies,
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)
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# MiniMax-specific parameters
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self.minimax_base_url = minimax_base_url
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