wehub-resource-sync
47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
import os
|
|
import time
|
|
|
|
from bfcl_eval.constants.enums import ModelStyle
|
|
from bfcl_eval.model_handler.api_inference.openai_completion import OpenAICompletionsHandler
|
|
from writerai import Writer
|
|
|
|
|
|
class WriterHandler(OpenAICompletionsHandler):
|
|
def __init__(
|
|
self,
|
|
model_name,
|
|
temperature,
|
|
registry_name,
|
|
is_fc_model,
|
|
**kwargs,
|
|
) -> None:
|
|
super().__init__(model_name, temperature, registry_name, is_fc_model, **kwargs)
|
|
self.model_style = ModelStyle.WRITER
|
|
self.client = Writer(api_key=os.getenv("WRITER_API_KEY"))
|
|
|
|
#### FC methods ####
|
|
|
|
def _query_FC(self, inference_data: dict):
|
|
message: list[dict] = inference_data["message"]
|
|
tools = inference_data["tools"]
|
|
inference_data["inference_input_log"] = {"message": repr(message), "tools": tools}
|
|
|
|
start_time = time.time()
|
|
if len(tools) > 0:
|
|
api_response = self.client.chat.chat(
|
|
messages=message,
|
|
model=self.model_name,
|
|
temperature=self.temperature,
|
|
tools=tools,
|
|
tool_choice="auto",
|
|
)
|
|
else:
|
|
api_response = self.client.chat.chat(
|
|
messages=message,
|
|
model=self.model_name,
|
|
temperature=self.temperature,
|
|
)
|
|
end_time = time.time()
|
|
|
|
return api_response, end_time - start_time
|