53 lines
2.3 KiB
Python
53 lines
2.3 KiB
Python
from typing import Tuple
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import flask
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from flask import jsonify, request
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from llm_server import opts
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from llm_server.database.database import log_prompt
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from llm_server.routes.helpers.client import format_sillytavern_err
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from llm_server.routes.request_handler import RequestHandler
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class OobaRequestHandler(RequestHandler):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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def handle_request(self, return_ok: bool = True):
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assert not self.used
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request_valid, invalid_response = self.validate_request()
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if not request_valid:
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return invalid_response
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# Reconstruct the request JSON with the validated parameters and prompt.
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prompt = self.request_json_body.get('prompt', '')
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llm_request = {**self.parameters, 'prompt': prompt}
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_, backend_response = self.generate_response(llm_request)
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if return_ok:
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# Always return 200 so ST displays our error messages
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return backend_response[0], 200
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else:
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# The OpenAI route needs to detect 429 errors.
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return backend_response
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def handle_ratelimited(self, do_log: bool = True):
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msg = f'Ratelimited: you are only allowed to have {opts.simultaneous_requests_per_ip} simultaneous requests at a time. Please complete your other requests before sending another.'
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backend_response = self.handle_error(msg)
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if do_log:
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log_prompt(self.client_ip, self.token, self.request_json_body.get('prompt', ''), backend_response[0].data.decode('utf-8'), None, self.parameters, dict(self.request.headers), 429, self.request.url, self.backend_url, is_error=True)
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return backend_response[0], 429
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def handle_error(self, error_msg: str, error_type: str = 'error') -> Tuple[flask.Response, int]:
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disable_st_error_formatting = request.headers.get('LLM-ST-Errors', False) == 'true'
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if disable_st_error_formatting:
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# TODO: how to format this
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response_msg = error_msg
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else:
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response_msg = format_sillytavern_err(error_msg, error_type=error_type, backend_url=self.backend_url)
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return jsonify({
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'results': [{'text': response_msg}]
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}), 200 # return 200 so we don't trigger an error message in the client's ST
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