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* chore: Initial draft of stubs * chore: Add comments and mock implementation of the add_episode method * chore: Add success and error callbacks * chore: Add success and error callbacks * refactor: Fix conflicts with the latest merge
34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
class LLMConfig:
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"""
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Configuration class for the Language Learning Model (LLM).
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This class encapsulates the necessary parameters to interact with an LLM API,
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such as OpenAI's GPT models. It stores the API key, model name, and base URL
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for making requests to the LLM service.
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"""
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def __init__(
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self,
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api_key: str,
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model: str = "gpt-4o",
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base_url: str = "https://api.openai.com",
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):
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"""
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Initialize the LLMConfig with the provided parameters.
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Args:
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api_key (str): The authentication key for accessing the LLM API.
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This is required for making authorized requests.
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model (str, optional): The specific LLM model to use for generating responses.
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Defaults to "gpt-4o", which appears to be a custom model name.
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Common values might include "gpt-3.5-turbo" or "gpt-4".
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base_url (str, optional): The base URL of the LLM API service.
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Defaults to "https://api.openai.com", which is OpenAI's standard API endpoint.
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This can be changed if using a different provider or a custom endpoint.
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"""
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self.base_url = base_url
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self.api_key = api_key
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self.model = model
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