wehub-resource-sync
59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
import os
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from bfcl_eval.model_handler.api_inference.openai_completion import OpenAICompletionsHandler
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from bfcl_eval.constants.enums import ModelStyle
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from openai import OpenAI
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class NovitaHandler(OpenAICompletionsHandler):
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def __init__(
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self,
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model_name,
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temperature,
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registry_name,
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is_fc_model,
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**kwargs,
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) -> None:
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super().__init__(model_name, temperature, registry_name, is_fc_model, **kwargs)
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self.model_style = ModelStyle.NOVITA_AI
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self.client = OpenAI(
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base_url="https://api.novita.ai/v3/openai",
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api_key=os.getenv("NOVITA_API_KEY"),
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)
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#### FC methods ####
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def _query_FC(self, inference_data: dict):
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message: list[dict] = inference_data["message"]
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tools = inference_data["tools"]
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inference_data["inference_input_log"] = {
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"message": repr(message),
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"tools": tools,
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}
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if len(tools) > 0:
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return self.generate_with_backoff(
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messages=message,
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model=self.model_name,
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temperature=self.temperature,
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tools=tools,
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)
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else:
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return self.generate_with_backoff(
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messages=message,
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model=self.model_name,
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temperature=self.temperature,
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)
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#### Prompting methods ####
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def _query_prompting(self, inference_data: dict):
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inference_data["inference_input_log"] = {"message": repr(inference_data["message"])}
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return self.generate_with_backoff(
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messages=inference_data["message"],
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model=self.model_name,
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temperature=self.temperature,
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)
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