45 lines
2.3 KiB
Python
45 lines
2.3 KiB
Python
from typing import Tuple, Union
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from flask import jsonify
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from vllm import SamplingParams
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from llm_server import opts
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from llm_server.database import log_prompt
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from llm_server.llm.llm_backend import LLMBackend
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from llm_server.routes.helpers.http import validate_json
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class VLLMBackend(LLMBackend):
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default_params = vars(SamplingParams())
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def handle_response(self, success, request, response_json_body, response_status_code, client_ip, token, prompt: str, elapsed_time, parameters, headers):
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if len(response_json_body.get('text', [])):
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# Does vllm return the prompt and the response together???
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backend_response = response_json_body['text'][0].split(prompt)[1].strip(' ').strip('\n')
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else:
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# Failsafe
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backend_response = ''
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log_prompt(ip=client_ip, token=token, prompt=prompt, response=backend_response, gen_time=elapsed_time, parameters=parameters, headers=headers, backend_response_code=response_status_code, request_url=request.url,
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response_tokens=response_json_body.get('details', {}).get('generated_tokens'))
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return jsonify({'results': [{'text': backend_response}]}), 200
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def get_parameters(self, parameters) -> Tuple[dict | None, str | None]:
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try:
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sampling_params = SamplingParams(
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temperature=parameters.get('temperature', self.default_params['temperature']),
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top_p=parameters.get('top_p', self.default_params['top_p']),
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top_k=parameters.get('top_k', self.default_params['top_k']),
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use_beam_search=True if parameters.get('num_beams', 0) > 1 else False,
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stop=parameters.get('stopping_strings', self.default_params['stop']),
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ignore_eos=parameters.get('ban_eos_token', False),
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max_tokens=parameters.get('max_new_tokens', self.default_params['max_tokens'])
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)
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except ValueError as e:
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return None, str(e).strip('.')
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return vars(sampling_params), None
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def validate_request(self, parameters) -> (bool, Union[str, None]):
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if parameters.get('max_new_tokens', 0) > opts.max_new_tokens:
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return False, f'`max_new_tokens` must be less than or equal to {opts.max_new_tokens}'
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return True, None
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