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57 lines
1.5 KiB
57 lines
1.5 KiB
5 months ago
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import os
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from ai21 import AI21Client
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from ai21.models.chat import ChatMessage
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from dotenv import load_dotenv
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from swarms import BaseLLM
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load_dotenv()
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class Jamba(BaseLLM):
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def __init__(
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self,
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api_key: str = os.getenv("AI21_API_KEY"),
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temperature: int = 0.8,
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max_tokens: int = 200,
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):
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"""
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Initializes the Jamba class with the provided API key.
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Args:
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api_key (str): The API key for the AI21Client.
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"""
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os.environ["AI21_API_KEY"] = api_key
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self.api_key = api_key
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self.temperature = temperature
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self.max_tokens = max_tokens
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self.client = AI21Client()
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def run(self, prompt: str, *args, **kwargs) -> str:
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"""
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Generates a response for the given prompt using the AI21 model.
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Args:
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prompt (str): The prompt for generating the response.
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Returns:
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str: The generated response.
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Raises:
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Exception: If there is an issue with the API request.
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"""
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try:
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response = self.client.chat.completions.create(
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model="jamba-instruct-preview", # Latest model
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messages=[ChatMessage(role="user", content=prompt)],
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temperature=self.temperature,
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max_tokens=self.max_tokens,
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*args,
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**kwargs,
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)
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return response.choices[0].message.content
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except Exception as e:
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print(f"Error: {e}")
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raise
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